Untitled.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c90afea6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c04da04f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"bankniftyCE2021-05-06.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "8b499a27",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.drop(\"Unnamed: 0\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e7a65c34",
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import display\n",
    "pd.set_option(\"display.max_rows\", None, \"display.max_columns\", None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "efa0fbb1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f207bd0e910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df[['date', 'close','SUPERTd_7_0.3','SUPERTl_7_0.3','SUPERTs_7_0.3']].plot(figsize=(15,10)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f75c9079",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>close</th>\n",
       "      <th>SUPERTd_7_0.3</th>\n",
       "      <th>SUPERTl_7_0.3</th>\n",
       "      <th>SUPERTs_7_0.3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-05-04 09:15:00+05:30</td>\n",
       "      <td>211.70</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-05-04 09:20:00+05:30</td>\n",
       "      <td>212.30</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-05-04 09:25:00+05:30</td>\n",
       "      <td>203.20</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-05-04 09:30:00+05:30</td>\n",
       "      <td>224.85</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-05-04 09:35:00+05:30</td>\n",
       "      <td>217.45</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021-05-04 09:40:00+05:30</td>\n",
       "      <td>189.80</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2021-05-04 09:45:00+05:30</td>\n",
       "      <td>189.25</td>\n",
       "      <td>1</td>\n",
       "      <td>159.744627</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2021-05-04 09:50:00+05:30</td>\n",
       "      <td>193.00</td>\n",
       "      <td>1</td>\n",
       "      <td>179.135356</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2021-05-04 09:55:00+05:30</td>\n",
       "      <td>220.95</td>\n",
       "      <td>1</td>\n",
       "      <td>197.732503</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2021-05-04 10:00:00+05:30</td>\n",
       "      <td>242.00</td>\n",
       "      <td>1</td>\n",
       "      <td>219.329884</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2021-05-04 10:05:00+05:30</td>\n",
       "      <td>239.95</td>\n",
       "      <td>1</td>\n",
       "      <td>225.675036</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2021-05-04 10:10:00+05:30</td>\n",
       "      <td>217.15</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>235.316052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2021-05-04 10:15:00+05:30</td>\n",
       "      <td>222.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>226.276229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2021-05-04 10:20:00+05:30</td>\n",
       "      <td>211.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>226.276229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2021-05-04 10:25:00+05:30</td>\n",
       "      <td>214.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>223.184315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2021-05-04 10:30:00+05:30</td>\n",
       "      <td>230.75</td>\n",
       "      <td>1</td>\n",
       "      <td>220.820374</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2021-05-04 10:35:00+05:30</td>\n",
       "      <td>231.55</td>\n",
       "      <td>1</td>\n",
       "      <td>224.116424</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2021-05-04 10:40:00+05:30</td>\n",
       "      <td>221.35</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>229.481081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2021-05-04 10:45:00+05:30</td>\n",
       "      <td>225.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>229.335202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2021-05-04 10:50:00+05:30</td>\n",
       "      <td>219.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>229.335202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2021-05-04 10:55:00+05:30</td>\n",
       "      <td>224.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>228.713870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2021-05-04 11:00:00+05:30</td>\n",
       "      <td>232.80</td>\n",
       "      <td>1</td>\n",
       "      <td>223.264447</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2021-05-04 11:05:00+05:30</td>\n",
       "      <td>252.10</td>\n",
       "      <td>1</td>\n",
       "      <td>236.575400</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2021-05-04 11:10:00+05:30</td>\n",
       "      <td>257.25</td>\n",
       "      <td>1</td>\n",
       "      <td>249.734709</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2021-05-04 11:15:00+05:30</td>\n",
       "      <td>246.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>258.692296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2021-05-04 11:20:00+05:30</td>\n",
       "      <td>237.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>248.769412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2021-05-04 11:25:00+05:30</td>\n",
       "      <td>244.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>248.769412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2021-05-04 11:30:00+05:30</td>\n",
       "      <td>246.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>248.769412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2021-05-04 11:35:00+05:30</td>\n",
       "      <td>272.45</td>\n",
       "      <td>1</td>\n",
       "      <td>256.449337</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2021-05-04 11:40:00+05:30</td>\n",
       "      <td>285.30</td>\n",
       "      <td>1</td>\n",
       "      <td>273.892262</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2021-05-04 11:45:00+05:30</td>\n",
       "      <td>272.20</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>284.988063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2021-05-04 11:50:00+05:30</td>\n",
       "      <td>269.65</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>274.049166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2021-05-04 11:55:00+05:30</td>\n",
       "      <td>273.05</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>273.587320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2021-05-04 12:00:00+05:30</td>\n",
       "      <td>279.25</td>\n",
       "      <td>1</td>\n",
       "      <td>272.918732</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2021-05-04 12:05:00+05:30</td>\n",
       "      <td>254.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>266.067491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2021-05-04 12:10:00+05:30</td>\n",
       "      <td>252.25</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>260.156347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2021-05-04 12:15:00+05:30</td>\n",
       "      <td>246.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>245.229374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2021-05-04 12:20:00+05:30</td>\n",
       "      <td>257.45</td>\n",
       "      <td>1</td>\n",
       "      <td>248.617026</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2021-05-04 12:25:00+05:30</td>\n",
       "      <td>259.00</td>\n",
       "      <td>1</td>\n",
       "      <td>248.617026</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2021-05-04 12:30:00+05:30</td>\n",
       "      <td>248.40</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>266.242765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2021-05-04 12:35:00+05:30</td>\n",
       "      <td>240.20</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.555825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2021-05-04 12:40:00+05:30</td>\n",
       "      <td>252.95</td>\n",
       "      <td>1</td>\n",
       "      <td>241.067399</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2021-05-04 12:45:00+05:30</td>\n",
       "      <td>256.80</td>\n",
       "      <td>1</td>\n",
       "      <td>247.275321</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021-05-04 12:50:00+05:30</td>\n",
       "      <td>242.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255.672580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021-05-04 12:55:00+05:30</td>\n",
       "      <td>247.90</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.656287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021-05-04 13:00:00+05:30</td>\n",
       "      <td>182.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>222.028522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021-05-04 13:05:00+05:30</td>\n",
       "      <td>189.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190.448819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021-05-04 13:10:00+05:30</td>\n",
       "      <td>140.20</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.552459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2021-05-04 13:15:00+05:30</td>\n",
       "      <td>135.95</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.949222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2021-05-04 13:20:00+05:30</td>\n",
       "      <td>134.15</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.790533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2021-05-04 13:25:00+05:30</td>\n",
       "      <td>151.05</td>\n",
       "      <td>1</td>\n",
       "      <td>132.458258</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2021-05-04 13:30:00+05:30</td>\n",
       "      <td>149.70</td>\n",
       "      <td>1</td>\n",
       "      <td>139.905781</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2021-05-04 13:35:00+05:30</td>\n",
       "      <td>140.40</td>\n",
       "      <td>1</td>\n",
       "      <td>139.905781</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2021-05-04 13:40:00+05:30</td>\n",
       "      <td>142.60</td>\n",
       "      <td>1</td>\n",
       "      <td>139.905781</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2021-05-04 13:45:00+05:30</td>\n",
       "      <td>144.90</td>\n",
       "      <td>1</td>\n",
       "      <td>139.905781</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2021-05-04 13:50:00+05:30</td>\n",
       "      <td>165.50</td>\n",
       "      <td>1</td>\n",
       "      <td>150.974029</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2021-05-04 13:55:00+05:30</td>\n",
       "      <td>152.00</td>\n",
       "      <td>1</td>\n",
       "      <td>150.974029</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2021-05-04 14:00:00+05:30</td>\n",
       "      <td>147.35</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>164.875134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2021-05-04 14:05:00+05:30</td>\n",
       "      <td>134.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.982993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2021-05-04 14:10:00+05:30</td>\n",
       "      <td>136.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.982993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2021-05-04 14:15:00+05:30</td>\n",
       "      <td>134.55</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.982993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2021-05-04 14:20:00+05:30</td>\n",
       "      <td>143.60</td>\n",
       "      <td>1</td>\n",
       "      <td>135.474261</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2021-05-04 14:25:00+05:30</td>\n",
       "      <td>146.25</td>\n",
       "      <td>1</td>\n",
       "      <td>135.474261</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2021-05-04 14:30:00+05:30</td>\n",
       "      <td>112.95</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>144.643656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2021-05-04 14:35:00+05:30</td>\n",
       "      <td>91.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.803130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2021-05-04 14:40:00+05:30</td>\n",
       "      <td>75.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.865535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2021-05-04 14:45:00+05:30</td>\n",
       "      <td>87.40</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.164736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2021-05-04 14:50:00+05:30</td>\n",
       "      <td>75.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.138338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2021-05-04 14:55:00+05:30</td>\n",
       "      <td>69.25</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.517140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2021-05-04 15:00:00+05:30</td>\n",
       "      <td>74.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.046108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2021-05-04 15:05:00+05:30</td>\n",
       "      <td>74.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.046108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021-05-04 15:10:00+05:30</td>\n",
       "      <td>76.70</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.046108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2021-05-04 15:15:00+05:30</td>\n",
       "      <td>67.15</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.809720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2021-05-04 15:20:00+05:30</td>\n",
       "      <td>67.50</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.115470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2021-05-04 15:25:00+05:30</td>\n",
       "      <td>61.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.023259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2021-05-05 09:15:00+05:30</td>\n",
       "      <td>112.40</td>\n",
       "      <td>1</td>\n",
       "      <td>99.017190</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2021-05-05 09:20:00+05:30</td>\n",
       "      <td>102.85</td>\n",
       "      <td>1</td>\n",
       "      <td>101.434735</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2021-05-05 09:25:00+05:30</td>\n",
       "      <td>113.05</td>\n",
       "      <td>1</td>\n",
       "      <td>101.956918</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2021-05-05 09:30:00+05:30</td>\n",
       "      <td>113.55</td>\n",
       "      <td>1</td>\n",
       "      <td>112.514502</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2021-05-05 09:35:00+05:30</td>\n",
       "      <td>112.70</td>\n",
       "      <td>1</td>\n",
       "      <td>112.514502</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2021-05-05 09:40:00+05:30</td>\n",
       "      <td>112.60</td>\n",
       "      <td>1</td>\n",
       "      <td>112.514502</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2021-05-05 09:45:00+05:30</td>\n",
       "      <td>106.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.578796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2021-05-05 09:50:00+05:30</td>\n",
       "      <td>112.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.578796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2021-05-05 09:55:00+05:30</td>\n",
       "      <td>117.50</td>\n",
       "      <td>1</td>\n",
       "      <td>110.741295</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2021-05-05 10:00:00+05:30</td>\n",
       "      <td>50.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.653183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2021-05-05 10:05:00+05:30</td>\n",
       "      <td>99.60</td>\n",
       "      <td>1</td>\n",
       "      <td>71.018698</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2021-05-05 10:10:00+05:30</td>\n",
       "      <td>107.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106.910312</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2021-05-05 10:15:00+05:30</td>\n",
       "      <td>110.00</td>\n",
       "      <td>1</td>\n",
       "      <td>106.910312</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2021-05-05 10:20:00+05:30</td>\n",
       "      <td>108.05</td>\n",
       "      <td>1</td>\n",
       "      <td>106.910312</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2021-05-05 10:25:00+05:30</td>\n",
       "      <td>103.85</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.242397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2021-05-05 10:30:00+05:30</td>\n",
       "      <td>107.50</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.242397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2021-05-05 10:35:00+05:30</td>\n",
       "      <td>106.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.685231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2021-05-05 10:40:00+05:30</td>\n",
       "      <td>110.25</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.445912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2021-05-05 10:45:00+05:30</td>\n",
       "      <td>116.70</td>\n",
       "      <td>1</td>\n",
       "      <td>108.477790</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2021-05-05 10:50:00+05:30</td>\n",
       "      <td>105.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.369037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2021-05-05 10:55:00+05:30</td>\n",
       "      <td>102.65</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.289174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2021-05-05 11:00:00+05:30</td>\n",
       "      <td>102.50</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.289174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2021-05-05 11:05:00+05:30</td>\n",
       "      <td>92.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.863067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2021-05-05 11:10:00+05:30</td>\n",
       "      <td>77.15</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.155486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2021-05-05 11:15:00+05:30</td>\n",
       "      <td>65.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.048988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2021-05-05 11:20:00+05:30</td>\n",
       "      <td>66.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.693418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2021-05-05 11:25:00+05:30</td>\n",
       "      <td>74.15</td>\n",
       "      <td>1</td>\n",
       "      <td>64.875642</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2021-05-05 11:30:00+05:30</td>\n",
       "      <td>73.80</td>\n",
       "      <td>1</td>\n",
       "      <td>72.383407</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2021-05-05 11:35:00+05:30</td>\n",
       "      <td>68.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.371365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2021-05-05 11:40:00+05:30</td>\n",
       "      <td>68.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.549742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2021-05-05 11:45:00+05:30</td>\n",
       "      <td>73.60</td>\n",
       "      <td>1</td>\n",
       "      <td>68.173079</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2021-05-05 11:50:00+05:30</td>\n",
       "      <td>76.35</td>\n",
       "      <td>1</td>\n",
       "      <td>68.173079</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2021-05-05 11:55:00+05:30</td>\n",
       "      <td>73.30</td>\n",
       "      <td>1</td>\n",
       "      <td>69.473078</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2021-05-05 12:00:00+05:30</td>\n",
       "      <td>81.50</td>\n",
       "      <td>1</td>\n",
       "      <td>67.605496</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2021-05-05 12:05:00+05:30</td>\n",
       "      <td>76.60</td>\n",
       "      <td>1</td>\n",
       "      <td>73.050425</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2021-05-05 12:10:00+05:30</td>\n",
       "      <td>74.00</td>\n",
       "      <td>1</td>\n",
       "      <td>73.050425</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2021-05-05 12:15:00+05:30</td>\n",
       "      <td>73.80</td>\n",
       "      <td>1</td>\n",
       "      <td>73.050425</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2021-05-05 12:20:00+05:30</td>\n",
       "      <td>68.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.060899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2021-05-05 12:25:00+05:30</td>\n",
       "      <td>73.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.273627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2021-05-05 12:30:00+05:30</td>\n",
       "      <td>70.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.273627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2021-05-05 12:35:00+05:30</td>\n",
       "      <td>67.25</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.649604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2021-05-05 12:40:00+05:30</td>\n",
       "      <td>65.35</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.898232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2021-05-05 12:45:00+05:30</td>\n",
       "      <td>65.25</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.638484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2021-05-05 12:50:00+05:30</td>\n",
       "      <td>102.35</td>\n",
       "      <td>1</td>\n",
       "      <td>78.524156</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2021-05-05 12:55:00+05:30</td>\n",
       "      <td>106.95</td>\n",
       "      <td>1</td>\n",
       "      <td>99.743562</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2021-05-05 13:00:00+05:30</td>\n",
       "      <td>102.00</td>\n",
       "      <td>1</td>\n",
       "      <td>100.374482</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2021-05-05 13:05:00+05:30</td>\n",
       "      <td>126.35</td>\n",
       "      <td>1</td>\n",
       "      <td>110.615270</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2021-05-05 13:10:00+05:30</td>\n",
       "      <td>110.75</td>\n",
       "      <td>1</td>\n",
       "      <td>116.361660</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2021-05-05 13:15:00+05:30</td>\n",
       "      <td>111.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.538577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2021-05-05 13:20:00+05:30</td>\n",
       "      <td>106.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.538577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2021-05-05 13:25:00+05:30</td>\n",
       "      <td>92.95</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.137934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2021-05-05 13:30:00+05:30</td>\n",
       "      <td>82.90</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.473943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2021-05-05 13:35:00+05:30</td>\n",
       "      <td>87.50</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.734809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2021-05-05 13:40:00+05:30</td>\n",
       "      <td>90.00</td>\n",
       "      <td>1</td>\n",
       "      <td>84.937307</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2021-05-05 13:45:00+05:30</td>\n",
       "      <td>91.80</td>\n",
       "      <td>1</td>\n",
       "      <td>84.937307</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2021-05-05 13:50:00+05:30</td>\n",
       "      <td>80.75</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.464428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2021-05-05 13:55:00+05:30</td>\n",
       "      <td>85.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.799509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2021-05-05 14:00:00+05:30</td>\n",
       "      <td>85.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.799509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2021-05-05 14:05:00+05:30</td>\n",
       "      <td>79.75</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.799509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2021-05-05 14:10:00+05:30</td>\n",
       "      <td>57.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.432665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2021-05-05 14:15:00+05:30</td>\n",
       "      <td>56.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.975141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2021-05-05 14:20:00+05:30</td>\n",
       "      <td>63.30</td>\n",
       "      <td>1</td>\n",
       "      <td>54.362736</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2021-05-05 14:25:00+05:30</td>\n",
       "      <td>78.85</td>\n",
       "      <td>1</td>\n",
       "      <td>66.145202</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2021-05-05 14:30:00+05:30</td>\n",
       "      <td>72.75</td>\n",
       "      <td>1</td>\n",
       "      <td>69.065888</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2021-05-05 14:35:00+05:30</td>\n",
       "      <td>70.60</td>\n",
       "      <td>1</td>\n",
       "      <td>69.065888</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2021-05-05 14:40:00+05:30</td>\n",
       "      <td>74.55</td>\n",
       "      <td>1</td>\n",
       "      <td>67.601877</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2021-05-05 14:45:00+05:30</td>\n",
       "      <td>66.90</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.614106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2021-05-05 14:50:00+05:30</td>\n",
       "      <td>68.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.590662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2021-05-05 14:55:00+05:30</td>\n",
       "      <td>61.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.467710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2021-05-05 15:00:00+05:30</td>\n",
       "      <td>70.45</td>\n",
       "      <td>1</td>\n",
       "      <td>62.426248</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2021-05-05 15:05:00+05:30</td>\n",
       "      <td>70.20</td>\n",
       "      <td>1</td>\n",
       "      <td>63.613927</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2021-05-05 15:10:00+05:30</td>\n",
       "      <td>78.40</td>\n",
       "      <td>1</td>\n",
       "      <td>69.930509</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2021-05-05 15:15:00+05:30</td>\n",
       "      <td>73.70</td>\n",
       "      <td>1</td>\n",
       "      <td>70.891865</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2021-05-05 15:20:00+05:30</td>\n",
       "      <td>87.25</td>\n",
       "      <td>1</td>\n",
       "      <td>78.836598</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2021-05-05 15:25:00+05:30</td>\n",
       "      <td>95.00</td>\n",
       "      <td>1</td>\n",
       "      <td>87.384227</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2021-05-06 09:15:00+05:30</td>\n",
       "      <td>51.05</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.557805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2021-05-06 09:20:00+05:30</td>\n",
       "      <td>50.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.083833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2021-05-06 09:25:00+05:30</td>\n",
       "      <td>44.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.509000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2021-05-06 09:30:00+05:30</td>\n",
       "      <td>47.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.482000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>2021-05-06 09:35:00+05:30</td>\n",
       "      <td>53.10</td>\n",
       "      <td>1</td>\n",
       "      <td>46.616857</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2021-05-06 09:40:00+05:30</td>\n",
       "      <td>44.50</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.302694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2021-05-06 09:45:00+05:30</td>\n",
       "      <td>43.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.578023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2021-05-06 09:50:00+05:30</td>\n",
       "      <td>31.35</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.465448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2021-05-06 09:55:00+05:30</td>\n",
       "      <td>32.65</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.376099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2021-05-06 10:00:00+05:30</td>\n",
       "      <td>35.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.750942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2021-05-06 10:05:00+05:30</td>\n",
       "      <td>28.70</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.817950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2021-05-06 10:10:00+05:30</td>\n",
       "      <td>28.55</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.659671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2021-05-06 10:15:00+05:30</td>\n",
       "      <td>21.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.405433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2021-05-06 10:20:00+05:30</td>\n",
       "      <td>22.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.623228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2021-05-06 10:25:00+05:30</td>\n",
       "      <td>23.10</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.623228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2021-05-06 10:30:00+05:30</td>\n",
       "      <td>21.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2021-05-06 10:35:00+05:30</td>\n",
       "      <td>21.65</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2021-05-06 10:40:00+05:30</td>\n",
       "      <td>21.70</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2021-05-06 10:45:00+05:30</td>\n",
       "      <td>21.90</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2021-05-06 10:50:00+05:30</td>\n",
       "      <td>21.80</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2021-05-06 10:55:00+05:30</td>\n",
       "      <td>21.40</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.210075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>2021-05-06 11:00:00+05:30</td>\n",
       "      <td>25.75</td>\n",
       "      <td>1</td>\n",
       "      <td>22.324221</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>2021-05-06 11:05:00+05:30</td>\n",
       "      <td>22.75</td>\n",
       "      <td>1</td>\n",
       "      <td>23.002190</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2021-05-06 11:10:00+05:30</td>\n",
       "      <td>15.85</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.632409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2021-05-06 11:15:00+05:30</td>\n",
       "      <td>15.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.919208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2021-05-06 11:20:00+05:30</td>\n",
       "      <td>11.25</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.627892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2021-05-06 11:25:00+05:30</td>\n",
       "      <td>12.65</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.243908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>2021-05-06 11:30:00+05:30</td>\n",
       "      <td>13.70</td>\n",
       "      <td>1</td>\n",
       "      <td>11.290936</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>2021-05-06 11:35:00+05:30</td>\n",
       "      <td>11.90</td>\n",
       "      <td>1</td>\n",
       "      <td>11.707945</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>2021-05-06 11:40:00+05:30</td>\n",
       "      <td>11.85</td>\n",
       "      <td>1</td>\n",
       "      <td>11.707945</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2021-05-06 11:45:00+05:30</td>\n",
       "      <td>11.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.993346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>2021-05-06 11:50:00+05:30</td>\n",
       "      <td>14.00</td>\n",
       "      <td>1</td>\n",
       "      <td>11.135703</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>2021-05-06 11:55:00+05:30</td>\n",
       "      <td>16.60</td>\n",
       "      <td>1</td>\n",
       "      <td>14.039174</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>2021-05-06 12:00:00+05:30</td>\n",
       "      <td>14.60</td>\n",
       "      <td>1</td>\n",
       "      <td>14.632149</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>2021-05-06 12:05:00+05:30</td>\n",
       "      <td>14.65</td>\n",
       "      <td>1</td>\n",
       "      <td>14.632149</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>2021-05-06 12:10:00+05:30</td>\n",
       "      <td>15.75</td>\n",
       "      <td>1</td>\n",
       "      <td>12.974844</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>2021-05-06 12:15:00+05:30</td>\n",
       "      <td>24.85</td>\n",
       "      <td>1</td>\n",
       "      <td>18.774152</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2021-05-06 12:20:00+05:30</td>\n",
       "      <td>18.85</td>\n",
       "      <td>1</td>\n",
       "      <td>20.689273</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>2021-05-06 12:25:00+05:30</td>\n",
       "      <td>21.75</td>\n",
       "      <td>1</td>\n",
       "      <td>20.689273</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>2021-05-06 12:30:00+05:30</td>\n",
       "      <td>20.15</td>\n",
       "      <td>1</td>\n",
       "      <td>18.740078</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>2021-05-06 12:35:00+05:30</td>\n",
       "      <td>20.80</td>\n",
       "      <td>1</td>\n",
       "      <td>18.740078</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2021-05-06 12:40:00+05:30</td>\n",
       "      <td>17.35</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.398922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2021-05-06 12:45:00+05:30</td>\n",
       "      <td>15.40</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.887647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>2021-05-06 12:50:00+05:30</td>\n",
       "      <td>18.55</td>\n",
       "      <td>1</td>\n",
       "      <td>15.033445</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>2021-05-06 12:55:00+05:30</td>\n",
       "      <td>18.80</td>\n",
       "      <td>1</td>\n",
       "      <td>17.284382</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>2021-05-06 13:00:00+05:30</td>\n",
       "      <td>18.30</td>\n",
       "      <td>1</td>\n",
       "      <td>17.284382</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>2021-05-06 13:05:00+05:30</td>\n",
       "      <td>13.55</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.471475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2021-05-06 13:10:00+05:30</td>\n",
       "      <td>14.70</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.848407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2021-05-06 13:15:00+05:30</td>\n",
       "      <td>10.75</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.517206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2021-05-06 13:20:00+05:30</td>\n",
       "      <td>5.20</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.586177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2021-05-06 13:25:00+05:30</td>\n",
       "      <td>5.60</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.218151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2021-05-06 13:30:00+05:30</td>\n",
       "      <td>4.75</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.728415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2021-05-06 13:35:00+05:30</td>\n",
       "      <td>4.35</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.605785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2021-05-06 13:40:00+05:30</td>\n",
       "      <td>5.00</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.605785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>2021-05-06 13:45:00+05:30</td>\n",
       "      <td>5.65</td>\n",
       "      <td>1</td>\n",
       "      <td>4.626362</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2021-05-06 13:50:00+05:30</td>\n",
       "      <td>4.15</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.867404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2021-05-06 13:55:00+05:30</td>\n",
       "      <td>4.90</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.266346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>2021-05-06 14:00:00+05:30</td>\n",
       "      <td>6.35</td>\n",
       "      <td>1</td>\n",
       "      <td>6.674561</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2021-05-06 14:05:00+05:30</td>\n",
       "      <td>4.15</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.620377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2021-05-06 14:10:00+05:30</td>\n",
       "      <td>3.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.516037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>2021-05-06 14:15:00+05:30</td>\n",
       "      <td>2.50</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.952318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>2021-05-06 14:20:00+05:30</td>\n",
       "      <td>1.55</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.789129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>2021-05-06 14:25:00+05:30</td>\n",
       "      <td>1.55</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.146397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2021-05-06 14:30:00+05:30</td>\n",
       "      <td>1.95</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.146397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>2021-05-06 14:35:00+05:30</td>\n",
       "      <td>2.25</td>\n",
       "      <td>1</td>\n",
       "      <td>2.338362</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2021-05-06 14:40:00+05:30</td>\n",
       "      <td>1.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.468547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2021-05-06 14:45:00+05:30</td>\n",
       "      <td>1.45</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.783040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2021-05-06 14:50:00+05:30</td>\n",
       "      <td>1.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.783040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2021-05-06 14:55:00+05:30</td>\n",
       "      <td>0.75</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.418152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2021-05-06 15:00:00+05:30</td>\n",
       "      <td>0.55</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.076988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2021-05-06 15:05:00+05:30</td>\n",
       "      <td>0.30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.795989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2021-05-06 15:10:00+05:30</td>\n",
       "      <td>0.20</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.556562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2021-05-06 15:15:00+05:30</td>\n",
       "      <td>0.15</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.472768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2021-05-06 15:20:00+05:30</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.343801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2021-05-06 15:25:00+05:30</td>\n",
       "      <td>0.05</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.291829</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          date   close  SUPERTd_7_0.3  SUPERTl_7_0.3  \\\n",
       "0    2021-05-04 09:15:00+05:30  211.70              1            NaN   \n",
       "1    2021-05-04 09:20:00+05:30  212.30              1            NaN   \n",
       "2    2021-05-04 09:25:00+05:30  203.20              1            NaN   \n",
       "3    2021-05-04 09:30:00+05:30  224.85              1            NaN   \n",
       "4    2021-05-04 09:35:00+05:30  217.45              1            NaN   \n",
       "5    2021-05-04 09:40:00+05:30  189.80              1            NaN   \n",
       "6    2021-05-04 09:45:00+05:30  189.25              1     159.744627   \n",
       "7    2021-05-04 09:50:00+05:30  193.00              1     179.135356   \n",
       "8    2021-05-04 09:55:00+05:30  220.95              1     197.732503   \n",
       "9    2021-05-04 10:00:00+05:30  242.00              1     219.329884   \n",
       "10   2021-05-04 10:05:00+05:30  239.95              1     225.675036   \n",
       "11   2021-05-04 10:10:00+05:30  217.15             -1            NaN   \n",
       "12   2021-05-04 10:15:00+05:30  222.00             -1            NaN   \n",
       "13   2021-05-04 10:20:00+05:30  211.60             -1            NaN   \n",
       "14   2021-05-04 10:25:00+05:30  214.60             -1            NaN   \n",
       "15   2021-05-04 10:30:00+05:30  230.75              1     220.820374   \n",
       "16   2021-05-04 10:35:00+05:30  231.55              1     224.116424   \n",
       "17   2021-05-04 10:40:00+05:30  221.35             -1            NaN   \n",
       "18   2021-05-04 10:45:00+05:30  225.80             -1            NaN   \n",
       "19   2021-05-04 10:50:00+05:30  219.45             -1            NaN   \n",
       "20   2021-05-04 10:55:00+05:30  224.00             -1            NaN   \n",
       "21   2021-05-04 11:00:00+05:30  232.80              1     223.264447   \n",
       "22   2021-05-04 11:05:00+05:30  252.10              1     236.575400   \n",
       "23   2021-05-04 11:10:00+05:30  257.25              1     249.734709   \n",
       "24   2021-05-04 11:15:00+05:30  246.10             -1            NaN   \n",
       "25   2021-05-04 11:20:00+05:30  237.80             -1            NaN   \n",
       "26   2021-05-04 11:25:00+05:30  244.45             -1            NaN   \n",
       "27   2021-05-04 11:30:00+05:30  246.00             -1            NaN   \n",
       "28   2021-05-04 11:35:00+05:30  272.45              1     256.449337   \n",
       "29   2021-05-04 11:40:00+05:30  285.30              1     273.892262   \n",
       "30   2021-05-04 11:45:00+05:30  272.20             -1            NaN   \n",
       "31   2021-05-04 11:50:00+05:30  269.65             -1            NaN   \n",
       "32   2021-05-04 11:55:00+05:30  273.05             -1            NaN   \n",
       "33   2021-05-04 12:00:00+05:30  279.25              1     272.918732   \n",
       "34   2021-05-04 12:05:00+05:30  254.10             -1            NaN   \n",
       "35   2021-05-04 12:10:00+05:30  252.25             -1            NaN   \n",
       "36   2021-05-04 12:15:00+05:30  246.80             -1            NaN   \n",
       "37   2021-05-04 12:20:00+05:30  257.45              1     248.617026   \n",
       "38   2021-05-04 12:25:00+05:30  259.00              1     248.617026   \n",
       "39   2021-05-04 12:30:00+05:30  248.40             -1            NaN   \n",
       "40   2021-05-04 12:35:00+05:30  240.20             -1            NaN   \n",
       "41   2021-05-04 12:40:00+05:30  252.95              1     241.067399   \n",
       "42   2021-05-04 12:45:00+05:30  256.80              1     247.275321   \n",
       "43   2021-05-04 12:50:00+05:30  242.80             -1            NaN   \n",
       "44   2021-05-04 12:55:00+05:30  247.90             -1            NaN   \n",
       "45   2021-05-04 13:00:00+05:30  182.60             -1            NaN   \n",
       "46   2021-05-04 13:05:00+05:30  189.30             -1            NaN   \n",
       "47   2021-05-04 13:10:00+05:30  140.20             -1            NaN   \n",
       "48   2021-05-04 13:15:00+05:30  135.95             -1            NaN   \n",
       "49   2021-05-04 13:20:00+05:30  134.15             -1            NaN   \n",
       "50   2021-05-04 13:25:00+05:30  151.05              1     132.458258   \n",
       "51   2021-05-04 13:30:00+05:30  149.70              1     139.905781   \n",
       "52   2021-05-04 13:35:00+05:30  140.40              1     139.905781   \n",
       "53   2021-05-04 13:40:00+05:30  142.60              1     139.905781   \n",
       "54   2021-05-04 13:45:00+05:30  144.90              1     139.905781   \n",
       "55   2021-05-04 13:50:00+05:30  165.50              1     150.974029   \n",
       "56   2021-05-04 13:55:00+05:30  152.00              1     150.974029   \n",
       "57   2021-05-04 14:00:00+05:30  147.35             -1            NaN   \n",
       "58   2021-05-04 14:05:00+05:30  134.10             -1            NaN   \n",
       "59   2021-05-04 14:10:00+05:30  136.60             -1            NaN   \n",
       "60   2021-05-04 14:15:00+05:30  134.55             -1            NaN   \n",
       "61   2021-05-04 14:20:00+05:30  143.60              1     135.474261   \n",
       "62   2021-05-04 14:25:00+05:30  146.25              1     135.474261   \n",
       "63   2021-05-04 14:30:00+05:30  112.95             -1            NaN   \n",
       "64   2021-05-04 14:35:00+05:30   91.10             -1            NaN   \n",
       "65   2021-05-04 14:40:00+05:30   75.45             -1            NaN   \n",
       "66   2021-05-04 14:45:00+05:30   87.40             -1            NaN   \n",
       "67   2021-05-04 14:50:00+05:30   75.30             -1            NaN   \n",
       "68   2021-05-04 14:55:00+05:30   69.25             -1            NaN   \n",
       "69   2021-05-04 15:00:00+05:30   74.10             -1            NaN   \n",
       "70   2021-05-04 15:05:00+05:30   74.45             -1            NaN   \n",
       "71   2021-05-04 15:10:00+05:30   76.70             -1            NaN   \n",
       "72   2021-05-04 15:15:00+05:30   67.15             -1            NaN   \n",
       "73   2021-05-04 15:20:00+05:30   67.50             -1            NaN   \n",
       "74   2021-05-04 15:25:00+05:30   61.00             -1            NaN   \n",
       "75   2021-05-05 09:15:00+05:30  112.40              1      99.017190   \n",
       "76   2021-05-05 09:20:00+05:30  102.85              1     101.434735   \n",
       "77   2021-05-05 09:25:00+05:30  113.05              1     101.956918   \n",
       "78   2021-05-05 09:30:00+05:30  113.55              1     112.514502   \n",
       "79   2021-05-05 09:35:00+05:30  112.70              1     112.514502   \n",
       "80   2021-05-05 09:40:00+05:30  112.60              1     112.514502   \n",
       "81   2021-05-05 09:45:00+05:30  106.45             -1            NaN   \n",
       "82   2021-05-05 09:50:00+05:30  112.80             -1            NaN   \n",
       "83   2021-05-05 09:55:00+05:30  117.50              1     110.741295   \n",
       "84   2021-05-05 10:00:00+05:30   50.00             -1            NaN   \n",
       "85   2021-05-05 10:05:00+05:30   99.60              1      71.018698   \n",
       "86   2021-05-05 10:10:00+05:30  107.00              1     106.910312   \n",
       "87   2021-05-05 10:15:00+05:30  110.00              1     106.910312   \n",
       "88   2021-05-05 10:20:00+05:30  108.05              1     106.910312   \n",
       "89   2021-05-05 10:25:00+05:30  103.85             -1            NaN   \n",
       "90   2021-05-05 10:30:00+05:30  107.50             -1            NaN   \n",
       "91   2021-05-05 10:35:00+05:30  106.10             -1            NaN   \n",
       "92   2021-05-05 10:40:00+05:30  110.25             -1            NaN   \n",
       "93   2021-05-05 10:45:00+05:30  116.70              1     108.477790   \n",
       "94   2021-05-05 10:50:00+05:30  105.00             -1            NaN   \n",
       "95   2021-05-05 10:55:00+05:30  102.65             -1            NaN   \n",
       "96   2021-05-05 11:00:00+05:30  102.50             -1            NaN   \n",
       "97   2021-05-05 11:05:00+05:30   92.10             -1            NaN   \n",
       "98   2021-05-05 11:10:00+05:30   77.15             -1            NaN   \n",
       "99   2021-05-05 11:15:00+05:30   65.60             -1            NaN   \n",
       "100  2021-05-05 11:20:00+05:30   66.00             -1            NaN   \n",
       "101  2021-05-05 11:25:00+05:30   74.15              1      64.875642   \n",
       "102  2021-05-05 11:30:00+05:30   73.80              1      72.383407   \n",
       "103  2021-05-05 11:35:00+05:30   68.45             -1            NaN   \n",
       "104  2021-05-05 11:40:00+05:30   68.45             -1            NaN   \n",
       "105  2021-05-05 11:45:00+05:30   73.60              1      68.173079   \n",
       "106  2021-05-05 11:50:00+05:30   76.35              1      68.173079   \n",
       "107  2021-05-05 11:55:00+05:30   73.30              1      69.473078   \n",
       "108  2021-05-05 12:00:00+05:30   81.50              1      67.605496   \n",
       "109  2021-05-05 12:05:00+05:30   76.60              1      73.050425   \n",
       "110  2021-05-05 12:10:00+05:30   74.00              1      73.050425   \n",
       "111  2021-05-05 12:15:00+05:30   73.80              1      73.050425   \n",
       "112  2021-05-05 12:20:00+05:30   68.30             -1            NaN   \n",
       "113  2021-05-05 12:25:00+05:30   73.45             -1            NaN   \n",
       "114  2021-05-05 12:30:00+05:30   70.30             -1            NaN   \n",
       "115  2021-05-05 12:35:00+05:30   67.25             -1            NaN   \n",
       "116  2021-05-05 12:40:00+05:30   65.35             -1            NaN   \n",
       "117  2021-05-05 12:45:00+05:30   65.25             -1            NaN   \n",
       "118  2021-05-05 12:50:00+05:30  102.35              1      78.524156   \n",
       "119  2021-05-05 12:55:00+05:30  106.95              1      99.743562   \n",
       "120  2021-05-05 13:00:00+05:30  102.00              1     100.374482   \n",
       "121  2021-05-05 13:05:00+05:30  126.35              1     110.615270   \n",
       "122  2021-05-05 13:10:00+05:30  110.75              1     116.361660   \n",
       "123  2021-05-05 13:15:00+05:30  111.60             -1            NaN   \n",
       "124  2021-05-05 13:20:00+05:30  106.60             -1            NaN   \n",
       "125  2021-05-05 13:25:00+05:30   92.95             -1            NaN   \n",
       "126  2021-05-05 13:30:00+05:30   82.90             -1            NaN   \n",
       "127  2021-05-05 13:35:00+05:30   87.50             -1            NaN   \n",
       "128  2021-05-05 13:40:00+05:30   90.00              1      84.937307   \n",
       "129  2021-05-05 13:45:00+05:30   91.80              1      84.937307   \n",
       "130  2021-05-05 13:50:00+05:30   80.75             -1            NaN   \n",
       "131  2021-05-05 13:55:00+05:30   85.00             -1            NaN   \n",
       "132  2021-05-05 14:00:00+05:30   85.30             -1            NaN   \n",
       "133  2021-05-05 14:05:00+05:30   79.75             -1            NaN   \n",
       "134  2021-05-05 14:10:00+05:30   57.60             -1            NaN   \n",
       "135  2021-05-05 14:15:00+05:30   56.60             -1            NaN   \n",
       "136  2021-05-05 14:20:00+05:30   63.30              1      54.362736   \n",
       "137  2021-05-05 14:25:00+05:30   78.85              1      66.145202   \n",
       "138  2021-05-05 14:30:00+05:30   72.75              1      69.065888   \n",
       "139  2021-05-05 14:35:00+05:30   70.60              1      69.065888   \n",
       "140  2021-05-05 14:40:00+05:30   74.55              1      67.601877   \n",
       "141  2021-05-05 14:45:00+05:30   66.90             -1            NaN   \n",
       "142  2021-05-05 14:50:00+05:30   68.30             -1            NaN   \n",
       "143  2021-05-05 14:55:00+05:30   61.80             -1            NaN   \n",
       "144  2021-05-05 15:00:00+05:30   70.45              1      62.426248   \n",
       "145  2021-05-05 15:05:00+05:30   70.20              1      63.613927   \n",
       "146  2021-05-05 15:10:00+05:30   78.40              1      69.930509   \n",
       "147  2021-05-05 15:15:00+05:30   73.70              1      70.891865   \n",
       "148  2021-05-05 15:20:00+05:30   87.25              1      78.836598   \n",
       "149  2021-05-05 15:25:00+05:30   95.00              1      87.384227   \n",
       "150  2021-05-06 09:15:00+05:30   51.05             -1            NaN   \n",
       "151  2021-05-06 09:20:00+05:30   50.45             -1            NaN   \n",
       "152  2021-05-06 09:25:00+05:30   44.10             -1            NaN   \n",
       "153  2021-05-06 09:30:00+05:30   47.80             -1            NaN   \n",
       "154  2021-05-06 09:35:00+05:30   53.10              1      46.616857   \n",
       "155  2021-05-06 09:40:00+05:30   44.50             -1            NaN   \n",
       "156  2021-05-06 09:45:00+05:30   43.60             -1            NaN   \n",
       "157  2021-05-06 09:50:00+05:30   31.35             -1            NaN   \n",
       "158  2021-05-06 09:55:00+05:30   32.65             -1            NaN   \n",
       "159  2021-05-06 10:00:00+05:30   35.60             -1            NaN   \n",
       "160  2021-05-06 10:05:00+05:30   28.70             -1            NaN   \n",
       "161  2021-05-06 10:10:00+05:30   28.55             -1            NaN   \n",
       "162  2021-05-06 10:15:00+05:30   21.60             -1            NaN   \n",
       "163  2021-05-06 10:20:00+05:30   22.10             -1            NaN   \n",
       "164  2021-05-06 10:25:00+05:30   23.10             -1            NaN   \n",
       "165  2021-05-06 10:30:00+05:30   21.80             -1            NaN   \n",
       "166  2021-05-06 10:35:00+05:30   21.65             -1            NaN   \n",
       "167  2021-05-06 10:40:00+05:30   21.70             -1            NaN   \n",
       "168  2021-05-06 10:45:00+05:30   21.90             -1            NaN   \n",
       "169  2021-05-06 10:50:00+05:30   21.80             -1            NaN   \n",
       "170  2021-05-06 10:55:00+05:30   21.40             -1            NaN   \n",
       "171  2021-05-06 11:00:00+05:30   25.75              1      22.324221   \n",
       "172  2021-05-06 11:05:00+05:30   22.75              1      23.002190   \n",
       "173  2021-05-06 11:10:00+05:30   15.85             -1            NaN   \n",
       "174  2021-05-06 11:15:00+05:30   15.00             -1            NaN   \n",
       "175  2021-05-06 11:20:00+05:30   11.25             -1            NaN   \n",
       "176  2021-05-06 11:25:00+05:30   12.65             -1            NaN   \n",
       "177  2021-05-06 11:30:00+05:30   13.70              1      11.290936   \n",
       "178  2021-05-06 11:35:00+05:30   11.90              1      11.707945   \n",
       "179  2021-05-06 11:40:00+05:30   11.85              1      11.707945   \n",
       "180  2021-05-06 11:45:00+05:30   11.00             -1            NaN   \n",
       "181  2021-05-06 11:50:00+05:30   14.00              1      11.135703   \n",
       "182  2021-05-06 11:55:00+05:30   16.60              1      14.039174   \n",
       "183  2021-05-06 12:00:00+05:30   14.60              1      14.632149   \n",
       "184  2021-05-06 12:05:00+05:30   14.65              1      14.632149   \n",
       "185  2021-05-06 12:10:00+05:30   15.75              1      12.974844   \n",
       "186  2021-05-06 12:15:00+05:30   24.85              1      18.774152   \n",
       "187  2021-05-06 12:20:00+05:30   18.85              1      20.689273   \n",
       "188  2021-05-06 12:25:00+05:30   21.75              1      20.689273   \n",
       "189  2021-05-06 12:30:00+05:30   20.15              1      18.740078   \n",
       "190  2021-05-06 12:35:00+05:30   20.80              1      18.740078   \n",
       "191  2021-05-06 12:40:00+05:30   17.35             -1            NaN   \n",
       "192  2021-05-06 12:45:00+05:30   15.40             -1            NaN   \n",
       "193  2021-05-06 12:50:00+05:30   18.55              1      15.033445   \n",
       "194  2021-05-06 12:55:00+05:30   18.80              1      17.284382   \n",
       "195  2021-05-06 13:00:00+05:30   18.30              1      17.284382   \n",
       "196  2021-05-06 13:05:00+05:30   13.55             -1            NaN   \n",
       "197  2021-05-06 13:10:00+05:30   14.70             -1            NaN   \n",
       "198  2021-05-06 13:15:00+05:30   10.75             -1            NaN   \n",
       "199  2021-05-06 13:20:00+05:30    5.20             -1            NaN   \n",
       "200  2021-05-06 13:25:00+05:30    5.60             -1            NaN   \n",
       "201  2021-05-06 13:30:00+05:30    4.75             -1            NaN   \n",
       "202  2021-05-06 13:35:00+05:30    4.35             -1            NaN   \n",
       "203  2021-05-06 13:40:00+05:30    5.00             -1            NaN   \n",
       "204  2021-05-06 13:45:00+05:30    5.65              1       4.626362   \n",
       "205  2021-05-06 13:50:00+05:30    4.15             -1            NaN   \n",
       "206  2021-05-06 13:55:00+05:30    4.90             -1            NaN   \n",
       "207  2021-05-06 14:00:00+05:30    6.35              1       6.674561   \n",
       "208  2021-05-06 14:05:00+05:30    4.15             -1            NaN   \n",
       "209  2021-05-06 14:10:00+05:30    3.45             -1            NaN   \n",
       "210  2021-05-06 14:15:00+05:30    2.50             -1            NaN   \n",
       "211  2021-05-06 14:20:00+05:30    1.55             -1            NaN   \n",
       "212  2021-05-06 14:25:00+05:30    1.55             -1            NaN   \n",
       "213  2021-05-06 14:30:00+05:30    1.95             -1            NaN   \n",
       "214  2021-05-06 14:35:00+05:30    2.25              1       2.338362   \n",
       "215  2021-05-06 14:40:00+05:30    1.45             -1            NaN   \n",
       "216  2021-05-06 14:45:00+05:30    1.45             -1            NaN   \n",
       "217  2021-05-06 14:50:00+05:30    1.30             -1            NaN   \n",
       "218  2021-05-06 14:55:00+05:30    0.75             -1            NaN   \n",
       "219  2021-05-06 15:00:00+05:30    0.55             -1            NaN   \n",
       "220  2021-05-06 15:05:00+05:30    0.30             -1            NaN   \n",
       "221  2021-05-06 15:10:00+05:30    0.20             -1            NaN   \n",
       "222  2021-05-06 15:15:00+05:30    0.15             -1            NaN   \n",
       "223  2021-05-06 15:20:00+05:30    0.05             -1            NaN   \n",
       "224  2021-05-06 15:25:00+05:30    0.05             -1            NaN   \n",
       "\n",
       "     SUPERTs_7_0.3  \n",
       "0              NaN  \n",
       "1              NaN  \n",
       "2              NaN  \n",
       "3              NaN  \n",
       "4              NaN  \n",
       "5              NaN  \n",
       "6              NaN  \n",
       "7              NaN  \n",
       "8              NaN  \n",
       "9              NaN  \n",
       "10             NaN  \n",
       "11      235.316052  \n",
       "12      226.276229  \n",
       "13      226.276229  \n",
       "14      223.184315  \n",
       "15             NaN  \n",
       "16             NaN  \n",
       "17      229.481081  \n",
       "18      229.335202  \n",
       "19      229.335202  \n",
       "20      228.713870  \n",
       "21             NaN  \n",
       "22             NaN  \n",
       "23             NaN  \n",
       "24      258.692296  \n",
       "25      248.769412  \n",
       "26      248.769412  \n",
       "27      248.769412  \n",
       "28             NaN  \n",
       "29             NaN  \n",
       "30      284.988063  \n",
       "31      274.049166  \n",
       "32      273.587320  \n",
       "33             NaN  \n",
       "34      266.067491  \n",
       "35      260.156347  \n",
       "36      245.229374  \n",
       "37             NaN  \n",
       "38             NaN  \n",
       "39      266.242765  \n",
       "40      250.555825  \n",
       "41             NaN  \n",
       "42             NaN  \n",
       "43      255.672580  \n",
       "44      249.656287  \n",
       "45      222.028522  \n",
       "46      190.448819  \n",
       "47      174.552459  \n",
       "48      141.949222  \n",
       "49      140.790533  \n",
       "50             NaN  \n",
       "51             NaN  \n",
       "52             NaN  \n",
       "53             NaN  \n",
       "54             NaN  \n",
       "55             NaN  \n",
       "56             NaN  \n",
       "57      164.875134  \n",
       "58      141.982993  \n",
       "59      141.982993  \n",
       "60      141.982993  \n",
       "61             NaN  \n",
       "62             NaN  \n",
       "63      144.643656  \n",
       "64      108.803130  \n",
       "65       90.865535  \n",
       "66       87.164736  \n",
       "67       86.138338  \n",
       "68       79.517140  \n",
       "69       77.046108  \n",
       "70       77.046108  \n",
       "71       77.046108  \n",
       "72       76.809720  \n",
       "73       73.115470  \n",
       "74       70.023259  \n",
       "75             NaN  \n",
       "76             NaN  \n",
       "77             NaN  \n",
       "78             NaN  \n",
       "79             NaN  \n",
       "80             NaN  \n",
       "81      113.578796  \n",
       "82      113.578796  \n",
       "83             NaN  \n",
       "84       98.653183  \n",
       "85             NaN  \n",
       "86             NaN  \n",
       "87             NaN  \n",
       "88             NaN  \n",
       "89      110.242397  \n",
       "90      110.242397  \n",
       "91      112.685231  \n",
       "92      112.445912  \n",
       "93             NaN  \n",
       "94      116.369037  \n",
       "95      107.289174  \n",
       "96      107.289174  \n",
       "97      101.863067  \n",
       "98       89.155486  \n",
       "99       77.048988  \n",
       "100      72.693418  \n",
       "101            NaN  \n",
       "102            NaN  \n",
       "103      74.371365  \n",
       "104      71.549742  \n",
       "105            NaN  \n",
       "106            NaN  \n",
       "107            NaN  \n",
       "108            NaN  \n",
       "109            NaN  \n",
       "110            NaN  \n",
       "111            NaN  \n",
       "112      75.060899  \n",
       "113      72.273627  \n",
       "114      72.273627  \n",
       "115      71.649604  \n",
       "116      70.898232  \n",
       "117      68.638484  \n",
       "118            NaN  \n",
       "119            NaN  \n",
       "120            NaN  \n",
       "121            NaN  \n",
       "122            NaN  \n",
       "123     116.538577  \n",
       "124     116.538577  \n",
       "125     104.137934  \n",
       "126      93.473943  \n",
       "127      88.734809  \n",
       "128            NaN  \n",
       "129            NaN  \n",
       "130      93.464428  \n",
       "131      85.799509  \n",
       "132      85.799509  \n",
       "133      85.799509  \n",
       "134      73.432665  \n",
       "135      61.975141  \n",
       "136            NaN  \n",
       "137            NaN  \n",
       "138            NaN  \n",
       "139            NaN  \n",
       "140            NaN  \n",
       "141      77.614106  \n",
       "142      70.590662  \n",
       "143      68.467710  \n",
       "144            NaN  \n",
       "145            NaN  \n",
       "146            NaN  \n",
       "147            NaN  \n",
       "148            NaN  \n",
       "149            NaN  \n",
       "150      84.557805  \n",
       "151      54.083833  \n",
       "152      51.509000  \n",
       "153      51.482000  \n",
       "154            NaN  \n",
       "155      53.302694  \n",
       "156      50.578023  \n",
       "157      43.465448  \n",
       "158      37.376099  \n",
       "159      36.750942  \n",
       "160      35.817950  \n",
       "161      30.659671  \n",
       "162      28.405433  \n",
       "163      24.623228  \n",
       "164      24.623228  \n",
       "165      23.436861  \n",
       "166      23.436861  \n",
       "167      23.436861  \n",
       "168      23.436861  \n",
       "169      23.436861  \n",
       "170      23.210075  \n",
       "171            NaN  \n",
       "172            NaN  \n",
       "173      20.632409  \n",
       "174      16.919208  \n",
       "175      14.627892  \n",
       "176      13.243908  \n",
       "177            NaN  \n",
       "178            NaN  \n",
       "179            NaN  \n",
       "180      13.993346  \n",
       "181            NaN  \n",
       "182            NaN  \n",
       "183            NaN  \n",
       "184            NaN  \n",
       "185            NaN  \n",
       "186            NaN  \n",
       "187            NaN  \n",
       "188            NaN  \n",
       "189            NaN  \n",
       "190            NaN  \n",
       "191      19.398922  \n",
       "192      17.887647  \n",
       "193            NaN  \n",
       "194            NaN  \n",
       "195            NaN  \n",
       "196      17.471475  \n",
       "197      15.848407  \n",
       "198      14.517206  \n",
       "199       9.586177  \n",
       "200       7.218151  \n",
       "201       6.728415  \n",
       "202       5.605785  \n",
       "203       5.605785  \n",
       "204            NaN  \n",
       "205       5.867404  \n",
       "206       5.266346  \n",
       "207            NaN  \n",
       "208       6.620377  \n",
       "209       4.516037  \n",
       "210       3.952318  \n",
       "211       2.789129  \n",
       "212       2.146397  \n",
       "213       2.146397  \n",
       "214            NaN  \n",
       "215       2.468547  \n",
       "216       1.783040  \n",
       "217       1.783040  \n",
       "218       1.418152  \n",
       "219       1.076988  \n",
       "220       0.795989  \n",
       "221       0.556562  \n",
       "222       0.472768  \n",
       "223       0.343801  \n",
       "224       0.291829  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df[['date', 'close','SUPERTd_7_0.3','SUPERTl_7_0.3','SUPERTs_7_0.3']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1e503ecf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>oi</th>\n",
       "      <th>PSARl_0.06_0.2</th>\n",
       "      <th>PSARs_0.06_0.2</th>\n",
       "      <th>PSARaf_0.06_0.2</th>\n",
       "      <th>PSARr_0.06_0.2</th>\n",
       "      <th>SUPERT_7_0.3</th>\n",
       "      <th>SUPERTd_7_0.3</th>\n",
       "      <th>SUPERTl_7_0.3</th>\n",
       "      <th>SUPERTs_7_0.3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2021-05-04 10:10:00+05:30</td>\n",
       "      <td>239.00</td>\n",
       "      <td>240.75</td>\n",
       "      <td>210.30</td>\n",
       "      <td>217.15</td>\n",
       "      <td>108225</td>\n",
       "      <td>286850</td>\n",
       "      <td>175.131344</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>235.316052</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>235.316052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2021-05-04 10:15:00+05:30</td>\n",
       "      <td>217.70</td>\n",
       "      <td>230.85</td>\n",
       "      <td>202.55</td>\n",
       "      <td>222.00</td>\n",
       "      <td>102675</td>\n",
       "      <td>286850</td>\n",
       "      <td>184.109583</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>226.276229</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>226.276229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2021-05-04 10:20:00+05:30</td>\n",
       "      <td>221.65</td>\n",
       "      <td>229.00</td>\n",
       "      <td>209.75</td>\n",
       "      <td>211.60</td>\n",
       "      <td>78125</td>\n",
       "      <td>287000</td>\n",
       "      <td>192.010433</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>226.276229</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>226.276229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2021-05-04 10:25:00+05:30</td>\n",
       "      <td>211.35</td>\n",
       "      <td>223.90</td>\n",
       "      <td>205.65</td>\n",
       "      <td>214.60</td>\n",
       "      <td>77700</td>\n",
       "      <td>287200</td>\n",
       "      <td>198.963181</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>223.184315</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>223.184315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2021-05-04 10:40:00+05:30</td>\n",
       "      <td>230.55</td>\n",
       "      <td>230.75</td>\n",
       "      <td>213.40</td>\n",
       "      <td>221.35</td>\n",
       "      <td>75925</td>\n",
       "      <td>398225</td>\n",
       "      <td>210.966000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>229.481081</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>229.481081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2021-05-04 10:45:00+05:30</td>\n",
       "      <td>222.25</td>\n",
       "      <td>231.05</td>\n",
       "      <td>213.45</td>\n",
       "      <td>225.80</td>\n",
       "      <td>66175</td>\n",
       "      <td>399650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.950000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>229.335202</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>229.335202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2021-05-04 10:50:00+05:30</td>\n",
       "      <td>226.25</td>\n",
       "      <td>237.60</td>\n",
       "      <td>215.15</td>\n",
       "      <td>219.45</td>\n",
       "      <td>76925</td>\n",
       "      <td>398900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>247.760000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>229.335202</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>229.335202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2021-05-04 10:55:00+05:30</td>\n",
       "      <td>220.15</td>\n",
       "      <td>227.85</td>\n",
       "      <td>216.60</td>\n",
       "      <td>224.00</td>\n",
       "      <td>43400</td>\n",
       "      <td>403150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>245.701400</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>228.713870</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>228.713870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2021-05-04 11:15:00+05:30</td>\n",
       "      <td>256.00</td>\n",
       "      <td>261.35</td>\n",
       "      <td>243.00</td>\n",
       "      <td>246.10</td>\n",
       "      <td>99225</td>\n",
       "      <td>386275</td>\n",
       "      <td>222.143040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>258.692296</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>258.692296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2021-05-04 11:20:00+05:30</td>\n",
       "      <td>245.45</td>\n",
       "      <td>250.00</td>\n",
       "      <td>235.10</td>\n",
       "      <td>237.80</td>\n",
       "      <td>73525</td>\n",
       "      <td>387200</td>\n",
       "      <td>227.321875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>248.769412</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>248.769412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2021-05-04 11:25:00+05:30</td>\n",
       "      <td>237.60</td>\n",
       "      <td>249.55</td>\n",
       "      <td>236.70</td>\n",
       "      <td>244.45</td>\n",
       "      <td>53525</td>\n",
       "      <td>389825</td>\n",
       "      <td>231.879250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>248.769412</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>248.769412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2021-05-04 11:30:00+05:30</td>\n",
       "      <td>244.00</td>\n",
       "      <td>252.55</td>\n",
       "      <td>240.90</td>\n",
       "      <td>246.00</td>\n",
       "      <td>60100</td>\n",
       "      <td>389200</td>\n",
       "      <td>235.100000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>248.769412</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>248.769412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2021-05-04 11:45:00+05:30</td>\n",
       "      <td>284.45</td>\n",
       "      <td>287.25</td>\n",
       "      <td>270.90</td>\n",
       "      <td>272.20</td>\n",
       "      <td>98300</td>\n",
       "      <td>382250</td>\n",
       "      <td>245.450000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>284.988063</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>284.988063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2021-05-04 11:50:00+05:30</td>\n",
       "      <td>272.00</td>\n",
       "      <td>283.40</td>\n",
       "      <td>251.85</td>\n",
       "      <td>269.65</td>\n",
       "      <td>110750</td>\n",
       "      <td>383275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>288.700000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>True</td>\n",
       "      <td>274.049166</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>274.049166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2021-05-04 11:55:00+05:30</td>\n",
       "      <td>270.00</td>\n",
       "      <td>276.95</td>\n",
       "      <td>257.55</td>\n",
       "      <td>273.05</td>\n",
       "      <td>66625</td>\n",
       "      <td>387025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>287.250000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>273.587320</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>273.587320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2021-05-04 12:05:00+05:30</td>\n",
       "      <td>277.65</td>\n",
       "      <td>285.00</td>\n",
       "      <td>232.45</td>\n",
       "      <td>254.10</td>\n",
       "      <td>208100</td>\n",
       "      <td>400675</td>\n",
       "      <td>251.850000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>266.067491</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>266.067491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2021-05-04 12:10:00+05:30</td>\n",
       "      <td>254.70</td>\n",
       "      <td>260.95</td>\n",
       "      <td>245.45</td>\n",
       "      <td>252.25</td>\n",
       "      <td>69950</td>\n",
       "      <td>403575</td>\n",
       "      <td>NaN</td>\n",
       "      <td>285.000000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>260.156347</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>260.156347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2021-05-04 12:15:00+05:30</td>\n",
       "      <td>250.45</td>\n",
       "      <td>253.30</td>\n",
       "      <td>222.60</td>\n",
       "      <td>246.80</td>\n",
       "      <td>136150</td>\n",
       "      <td>402050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>285.000000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>245.229374</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>245.229374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2021-05-04 12:30:00+05:30</td>\n",
       "      <td>257.85</td>\n",
       "      <td>272.75</td>\n",
       "      <td>245.75</td>\n",
       "      <td>248.40</td>\n",
       "      <td>111175</td>\n",
       "      <td>433975</td>\n",
       "      <td>222.600000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>266.242765</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>266.242765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2021-05-04 12:35:00+05:30</td>\n",
       "      <td>247.60</td>\n",
       "      <td>250.30</td>\n",
       "      <td>237.75</td>\n",
       "      <td>240.20</td>\n",
       "      <td>110975</td>\n",
       "      <td>453075</td>\n",
       "      <td>225.609000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>250.555825</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>250.555825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021-05-04 12:50:00+05:30</td>\n",
       "      <td>258.35</td>\n",
       "      <td>260.00</td>\n",
       "      <td>238.30</td>\n",
       "      <td>242.80</td>\n",
       "      <td>48225</td>\n",
       "      <td>448525</td>\n",
       "      <td>233.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>255.672580</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>255.672580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021-05-04 12:55:00+05:30</td>\n",
       "      <td>243.25</td>\n",
       "      <td>251.70</td>\n",
       "      <td>235.00</td>\n",
       "      <td>247.90</td>\n",
       "      <td>76050</td>\n",
       "      <td>462800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>272.750000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>249.656287</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>249.656287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021-05-04 13:00:00+05:30</td>\n",
       "      <td>247.90</td>\n",
       "      <td>248.05</td>\n",
       "      <td>179.30</td>\n",
       "      <td>182.60</td>\n",
       "      <td>307950</td>\n",
       "      <td>471225</td>\n",
       "      <td>NaN</td>\n",
       "      <td>270.485000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>222.028522</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>222.028522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021-05-04 13:05:00+05:30</td>\n",
       "      <td>180.35</td>\n",
       "      <td>197.30</td>\n",
       "      <td>166.65</td>\n",
       "      <td>189.30</td>\n",
       "      <td>208575</td>\n",
       "      <td>501700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>259.542800</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>190.448819</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190.448819</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021-05-04 13:10:00+05:30</td>\n",
       "      <td>189.85</td>\n",
       "      <td>190.90</td>\n",
       "      <td>139.25</td>\n",
       "      <td>140.20</td>\n",
       "      <td>292250</td>\n",
       "      <td>509700</td>\n",
       "      <td>NaN</td>\n",
       "      <td>248.050000</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>174.552459</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.552459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2021-05-04 13:15:00+05:30</td>\n",
       "      <td>136.05</td>\n",
       "      <td>147.70</td>\n",
       "      <td>117.35</td>\n",
       "      <td>135.95</td>\n",
       "      <td>394500</td>\n",
       "      <td>502950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>226.290000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>141.949222</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.949222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2021-05-04 13:20:00+05:30</td>\n",
       "      <td>135.20</td>\n",
       "      <td>141.65</td>\n",
       "      <td>122.10</td>\n",
       "      <td>134.15</td>\n",
       "      <td>216050</td>\n",
       "      <td>501600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>204.502000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>140.790533</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.790533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2021-05-04 14:00:00+05:30</td>\n",
       "      <td>152.00</td>\n",
       "      <td>168.25</td>\n",
       "      <td>147.35</td>\n",
       "      <td>147.35</td>\n",
       "      <td>118450</td>\n",
       "      <td>510725</td>\n",
       "      <td>131.715978</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>164.875134</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>164.875134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2021-05-04 14:05:00+05:30</td>\n",
       "      <td>148.45</td>\n",
       "      <td>148.65</td>\n",
       "      <td>120.80</td>\n",
       "      <td>134.10</td>\n",
       "      <td>172900</td>\n",
       "      <td>517150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>174.150000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>141.982993</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.982993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2021-05-04 14:10:00+05:30</td>\n",
       "      <td>133.50</td>\n",
       "      <td>142.35</td>\n",
       "      <td>129.10</td>\n",
       "      <td>136.60</td>\n",
       "      <td>96175</td>\n",
       "      <td>517125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.949000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>141.982993</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.982993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2021-05-04 14:15:00+05:30</td>\n",
       "      <td>137.65</td>\n",
       "      <td>154.40</td>\n",
       "      <td>131.20</td>\n",
       "      <td>134.55</td>\n",
       "      <td>123975</td>\n",
       "      <td>518300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>167.940060</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>141.982993</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>141.982993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2021-05-04 14:30:00+05:30</td>\n",
       "      <td>147.00</td>\n",
       "      <td>161.90</td>\n",
       "      <td>112.35</td>\n",
       "      <td>112.95</td>\n",
       "      <td>417175</td>\n",
       "      <td>514600</td>\n",
       "      <td>120.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>144.643656</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>144.643656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2021-05-04 14:35:00+05:30</td>\n",
       "      <td>111.80</td>\n",
       "      <td>112.75</td>\n",
       "      <td>90.00</td>\n",
       "      <td>91.10</td>\n",
       "      <td>470875</td>\n",
       "      <td>456525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161.900000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>108.803130</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.803130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2021-05-04 14:40:00+05:30</td>\n",
       "      <td>90.05</td>\n",
       "      <td>94.35</td>\n",
       "      <td>72.80</td>\n",
       "      <td>75.45</td>\n",
       "      <td>307000</td>\n",
       "      <td>432575</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161.900000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>90.865535</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.865535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2021-05-04 14:45:00+05:30</td>\n",
       "      <td>74.00</td>\n",
       "      <td>89.35</td>\n",
       "      <td>70.90</td>\n",
       "      <td>87.40</td>\n",
       "      <td>332850</td>\n",
       "      <td>389800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>151.208000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>87.164736</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>87.164736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2021-05-04 14:50:00+05:30</td>\n",
       "      <td>87.50</td>\n",
       "      <td>88.15</td>\n",
       "      <td>70.55</td>\n",
       "      <td>75.30</td>\n",
       "      <td>218050</td>\n",
       "      <td>389500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.752560</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>86.138338</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>86.138338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2021-05-04 14:55:00+05:30</td>\n",
       "      <td>75.35</td>\n",
       "      <td>81.15</td>\n",
       "      <td>64.85</td>\n",
       "      <td>69.25</td>\n",
       "      <td>207400</td>\n",
       "      <td>376650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>123.512048</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>79.517140</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>79.517140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2021-05-04 15:00:00+05:30</td>\n",
       "      <td>69.50</td>\n",
       "      <td>75.30</td>\n",
       "      <td>66.90</td>\n",
       "      <td>74.10</td>\n",
       "      <td>175000</td>\n",
       "      <td>383300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>111.779638</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>77.046108</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.046108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2021-05-04 15:05:00+05:30</td>\n",
       "      <td>74.00</td>\n",
       "      <td>76.00</td>\n",
       "      <td>68.60</td>\n",
       "      <td>74.45</td>\n",
       "      <td>134650</td>\n",
       "      <td>373125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.393711</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>77.046108</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.046108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021-05-04 15:10:00+05:30</td>\n",
       "      <td>74.40</td>\n",
       "      <td>79.20</td>\n",
       "      <td>72.45</td>\n",
       "      <td>76.70</td>\n",
       "      <td>155850</td>\n",
       "      <td>370150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.884969</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>77.046108</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.046108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2021-05-04 15:15:00+05:30</td>\n",
       "      <td>76.65</td>\n",
       "      <td>77.75</td>\n",
       "      <td>66.45</td>\n",
       "      <td>67.15</td>\n",
       "      <td>70225</td>\n",
       "      <td>362075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.877975</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>76.809720</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.809720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2021-05-04 15:20:00+05:30</td>\n",
       "      <td>67.50</td>\n",
       "      <td>72.05</td>\n",
       "      <td>65.55</td>\n",
       "      <td>67.50</td>\n",
       "      <td>79350</td>\n",
       "      <td>350425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.072380</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>73.115470</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.115470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2021-05-04 15:25:00+05:30</td>\n",
       "      <td>68.35</td>\n",
       "      <td>71.65</td>\n",
       "      <td>60.00</td>\n",
       "      <td>61.00</td>\n",
       "      <td>98450</td>\n",
       "      <td>339125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.227904</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>70.023259</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.023259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2021-05-05 09:45:00+05:30</td>\n",
       "      <td>112.35</td>\n",
       "      <td>116.80</td>\n",
       "      <td>100.35</td>\n",
       "      <td>106.45</td>\n",
       "      <td>130675</td>\n",
       "      <td>445925</td>\n",
       "      <td>85.530466</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>113.578796</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.578796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2021-05-05 09:50:00+05:30</td>\n",
       "      <td>106.20</td>\n",
       "      <td>113.50</td>\n",
       "      <td>106.20</td>\n",
       "      <td>112.80</td>\n",
       "      <td>83900</td>\n",
       "      <td>454700</td>\n",
       "      <td>90.200810</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>113.578796</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.578796</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2021-05-05 10:00:00+05:30</td>\n",
       "      <td>117.65</td>\n",
       "      <td>138.00</td>\n",
       "      <td>43.85</td>\n",
       "      <td>50.00</td>\n",
       "      <td>470550</td>\n",
       "      <td>448375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.450000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>98.653183</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>98.653183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2021-05-05 10:25:00+05:30</td>\n",
       "      <td>107.35</td>\n",
       "      <td>112.20</td>\n",
       "      <td>91.55</td>\n",
       "      <td>103.85</td>\n",
       "      <td>192425</td>\n",
       "      <td>495200</td>\n",
       "      <td>59.173677</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>110.242397</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.242397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2021-05-05 10:30:00+05:30</td>\n",
       "      <td>103.95</td>\n",
       "      <td>136.90</td>\n",
       "      <td>102.00</td>\n",
       "      <td>107.50</td>\n",
       "      <td>371275</td>\n",
       "      <td>483750</td>\n",
       "      <td>63.681257</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>110.242397</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.242397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2021-05-05 10:35:00+05:30</td>\n",
       "      <td>108.55</td>\n",
       "      <td>117.85</td>\n",
       "      <td>90.30</td>\n",
       "      <td>106.10</td>\n",
       "      <td>265475</td>\n",
       "      <td>508625</td>\n",
       "      <td>72.467506</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>112.685231</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.685231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2021-05-05 10:40:00+05:30</td>\n",
       "      <td>105.35</td>\n",
       "      <td>112.70</td>\n",
       "      <td>96.00</td>\n",
       "      <td>110.25</td>\n",
       "      <td>241850</td>\n",
       "      <td>508400</td>\n",
       "      <td>80.199405</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>112.445912</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.445912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2021-05-05 10:50:00+05:30</td>\n",
       "      <td>117.25</td>\n",
       "      <td>119.75</td>\n",
       "      <td>98.25</td>\n",
       "      <td>105.00</td>\n",
       "      <td>214500</td>\n",
       "      <td>509650</td>\n",
       "      <td>92.991059</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>116.369037</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.369037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2021-05-05 10:55:00+05:30</td>\n",
       "      <td>104.70</td>\n",
       "      <td>105.75</td>\n",
       "      <td>95.30</td>\n",
       "      <td>102.65</td>\n",
       "      <td>148250</td>\n",
       "      <td>509875</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.900000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>107.289174</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.289174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2021-05-05 11:00:00+05:30</td>\n",
       "      <td>102.40</td>\n",
       "      <td>110.40</td>\n",
       "      <td>100.00</td>\n",
       "      <td>102.50</td>\n",
       "      <td>147075</td>\n",
       "      <td>504075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.404000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>107.289174</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.289174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2021-05-05 11:05:00+05:30</td>\n",
       "      <td>102.00</td>\n",
       "      <td>102.50</td>\n",
       "      <td>89.40</td>\n",
       "      <td>92.10</td>\n",
       "      <td>159175</td>\n",
       "      <td>513000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.057760</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>101.863067</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>101.863067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2021-05-05 11:10:00+05:30</td>\n",
       "      <td>92.10</td>\n",
       "      <td>93.55</td>\n",
       "      <td>72.85</td>\n",
       "      <td>77.15</td>\n",
       "      <td>276875</td>\n",
       "      <td>508275</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.938829</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>89.155486</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>89.155486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2021-05-05 11:15:00+05:30</td>\n",
       "      <td>77.00</td>\n",
       "      <td>80.15</td>\n",
       "      <td>62.20</td>\n",
       "      <td>65.60</td>\n",
       "      <td>251600</td>\n",
       "      <td>508025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.202840</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>77.048988</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.048988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2021-05-05 11:20:00+05:30</td>\n",
       "      <td>65.70</td>\n",
       "      <td>73.35</td>\n",
       "      <td>60.90</td>\n",
       "      <td>66.00</td>\n",
       "      <td>187300</td>\n",
       "      <td>491325</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106.202272</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>72.693418</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.693418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2021-05-05 11:35:00+05:30</td>\n",
       "      <td>73.35</td>\n",
       "      <td>75.55</td>\n",
       "      <td>63.80</td>\n",
       "      <td>68.45</td>\n",
       "      <td>137625</td>\n",
       "      <td>471750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.094763</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>74.371365</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.371365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2021-05-05 11:40:00+05:30</td>\n",
       "      <td>68.20</td>\n",
       "      <td>70.45</td>\n",
       "      <td>64.05</td>\n",
       "      <td>68.45</td>\n",
       "      <td>101425</td>\n",
       "      <td>469775</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.350000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>71.549742</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.549742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2021-05-05 12:20:00+05:30</td>\n",
       "      <td>73.50</td>\n",
       "      <td>76.70</td>\n",
       "      <td>66.00</td>\n",
       "      <td>68.30</td>\n",
       "      <td>89775</td>\n",
       "      <td>462100</td>\n",
       "      <td>61.601800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>75.060899</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>75.060899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2021-05-05 12:25:00+05:30</td>\n",
       "      <td>68.30</td>\n",
       "      <td>73.55</td>\n",
       "      <td>63.80</td>\n",
       "      <td>73.45</td>\n",
       "      <td>100350</td>\n",
       "      <td>462625</td>\n",
       "      <td>62.900692</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>72.273627</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.273627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2021-05-05 12:30:00+05:30</td>\n",
       "      <td>73.75</td>\n",
       "      <td>76.15</td>\n",
       "      <td>66.70</td>\n",
       "      <td>70.30</td>\n",
       "      <td>68025</td>\n",
       "      <td>460200</td>\n",
       "      <td>63.800000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>72.273627</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>72.273627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2021-05-05 12:35:00+05:30</td>\n",
       "      <td>70.90</td>\n",
       "      <td>73.55</td>\n",
       "      <td>62.85</td>\n",
       "      <td>67.25</td>\n",
       "      <td>133350</td>\n",
       "      <td>462250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>83.250000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>71.649604</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.649604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2021-05-05 12:40:00+05:30</td>\n",
       "      <td>68.05</td>\n",
       "      <td>70.25</td>\n",
       "      <td>65.20</td>\n",
       "      <td>65.35</td>\n",
       "      <td>66400</td>\n",
       "      <td>464975</td>\n",
       "      <td>NaN</td>\n",
       "      <td>82.026000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>70.898232</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.898232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2021-05-05 12:45:00+05:30</td>\n",
       "      <td>65.80</td>\n",
       "      <td>68.25</td>\n",
       "      <td>63.15</td>\n",
       "      <td>65.25</td>\n",
       "      <td>64550</td>\n",
       "      <td>461350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.875440</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>68.638484</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.638484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2021-05-05 13:15:00+05:30</td>\n",
       "      <td>109.60</td>\n",
       "      <td>124.80</td>\n",
       "      <td>96.25</td>\n",
       "      <td>111.60</td>\n",
       "      <td>620850</td>\n",
       "      <td>669600</td>\n",
       "      <td>94.371040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>116.538577</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.538577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2021-05-05 13:20:00+05:30</td>\n",
       "      <td>111.05</td>\n",
       "      <td>121.85</td>\n",
       "      <td>100.00</td>\n",
       "      <td>106.60</td>\n",
       "      <td>418675</td>\n",
       "      <td>686650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>134.300000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>True</td>\n",
       "      <td>116.538577</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116.538577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2021-05-05 13:25:00+05:30</td>\n",
       "      <td>106.45</td>\n",
       "      <td>114.30</td>\n",
       "      <td>80.65</td>\n",
       "      <td>92.95</td>\n",
       "      <td>549225</td>\n",
       "      <td>672350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>132.242000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>104.137934</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.137934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2021-05-05 13:30:00+05:30</td>\n",
       "      <td>93.20</td>\n",
       "      <td>97.50</td>\n",
       "      <td>76.20</td>\n",
       "      <td>82.90</td>\n",
       "      <td>422550</td>\n",
       "      <td>640550</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126.050960</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>93.473943</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.473943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2021-05-05 13:35:00+05:30</td>\n",
       "      <td>83.35</td>\n",
       "      <td>93.00</td>\n",
       "      <td>71.25</td>\n",
       "      <td>87.50</td>\n",
       "      <td>405425</td>\n",
       "      <td>607350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>117.077787</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>88.734809</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.734809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2021-05-05 13:50:00+05:30</td>\n",
       "      <td>91.15</td>\n",
       "      <td>94.65</td>\n",
       "      <td>80.75</td>\n",
       "      <td>80.75</td>\n",
       "      <td>236825</td>\n",
       "      <td>618900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>99.750000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>93.464428</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>93.464428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2021-05-05 13:55:00+05:30</td>\n",
       "      <td>79.20</td>\n",
       "      <td>86.55</td>\n",
       "      <td>74.10</td>\n",
       "      <td>85.00</td>\n",
       "      <td>275250</td>\n",
       "      <td>609975</td>\n",
       "      <td>NaN</td>\n",
       "      <td>94.650000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>85.799509</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.799509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2021-05-05 14:00:00+05:30</td>\n",
       "      <td>85.65</td>\n",
       "      <td>90.50</td>\n",
       "      <td>73.75</td>\n",
       "      <td>85.30</td>\n",
       "      <td>250400</td>\n",
       "      <td>600150</td>\n",
       "      <td>71.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>True</td>\n",
       "      <td>85.799509</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.799509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2021-05-05 14:05:00+05:30</td>\n",
       "      <td>84.40</td>\n",
       "      <td>85.80</td>\n",
       "      <td>77.85</td>\n",
       "      <td>79.75</td>\n",
       "      <td>144450</td>\n",
       "      <td>597725</td>\n",
       "      <td>72.405000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>85.799509</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.799509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2021-05-05 14:10:00+05:30</td>\n",
       "      <td>80.05</td>\n",
       "      <td>81.60</td>\n",
       "      <td>54.40</td>\n",
       "      <td>57.60</td>\n",
       "      <td>615050</td>\n",
       "      <td>568775</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.500000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>73.432665</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.432665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2021-05-05 14:15:00+05:30</td>\n",
       "      <td>56.30</td>\n",
       "      <td>60.45</td>\n",
       "      <td>53.60</td>\n",
       "      <td>56.60</td>\n",
       "      <td>316250</td>\n",
       "      <td>579575</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.334000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>61.975141</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.975141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2021-05-05 14:45:00+05:30</td>\n",
       "      <td>74.70</td>\n",
       "      <td>81.15</td>\n",
       "      <td>64.70</td>\n",
       "      <td>66.90</td>\n",
       "      <td>311800</td>\n",
       "      <td>530575</td>\n",
       "      <td>58.911192</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>77.614106</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>77.614106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2021-05-05 14:50:00+05:30</td>\n",
       "      <td>67.70</td>\n",
       "      <td>70.80</td>\n",
       "      <td>61.55</td>\n",
       "      <td>68.30</td>\n",
       "      <td>213050</td>\n",
       "      <td>512225</td>\n",
       "      <td>60.473520</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>70.590662</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70.590662</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2021-05-05 14:55:00+05:30</td>\n",
       "      <td>67.70</td>\n",
       "      <td>69.30</td>\n",
       "      <td>59.20</td>\n",
       "      <td>61.80</td>\n",
       "      <td>188250</td>\n",
       "      <td>518300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.950000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>68.467710</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.467710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>2021-05-06 09:15:00+05:30</td>\n",
       "      <td>92.90</td>\n",
       "      <td>108.00</td>\n",
       "      <td>49.80</td>\n",
       "      <td>51.05</td>\n",
       "      <td>956750</td>\n",
       "      <td>384025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>84.557805</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.557805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>2021-05-06 09:20:00+05:30</td>\n",
       "      <td>48.40</td>\n",
       "      <td>54.40</td>\n",
       "      <td>43.10</td>\n",
       "      <td>50.45</td>\n",
       "      <td>733650</td>\n",
       "      <td>384025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>54.083833</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.083833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>2021-05-06 09:25:00+05:30</td>\n",
       "      <td>50.80</td>\n",
       "      <td>50.80</td>\n",
       "      <td>42.35</td>\n",
       "      <td>44.10</td>\n",
       "      <td>502125</td>\n",
       "      <td>384025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.000000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>51.509000</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.509000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>2021-05-06 09:30:00+05:30</td>\n",
       "      <td>43.75</td>\n",
       "      <td>53.15</td>\n",
       "      <td>40.25</td>\n",
       "      <td>47.80</td>\n",
       "      <td>629325</td>\n",
       "      <td>384025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>96.183000</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>51.482000</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.482000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>2021-05-06 09:40:00+05:30</td>\n",
       "      <td>53.95</td>\n",
       "      <td>55.35</td>\n",
       "      <td>42.70</td>\n",
       "      <td>44.50</td>\n",
       "      <td>666975</td>\n",
       "      <td>384025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>76.047120</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>53.302694</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.302694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>2021-05-06 09:45:00+05:30</td>\n",
       "      <td>44.50</td>\n",
       "      <td>49.70</td>\n",
       "      <td>43.60</td>\n",
       "      <td>43.60</td>\n",
       "      <td>394875</td>\n",
       "      <td>384025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.887696</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>50.578023</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.578023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2021-05-06 09:50:00+05:30</td>\n",
       "      <td>43.80</td>\n",
       "      <td>47.55</td>\n",
       "      <td>31.25</td>\n",
       "      <td>31.35</td>\n",
       "      <td>477700</td>\n",
       "      <td>856375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63.160157</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>43.465448</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.465448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>2021-05-06 09:55:00+05:30</td>\n",
       "      <td>31.20</td>\n",
       "      <td>37.00</td>\n",
       "      <td>30.20</td>\n",
       "      <td>32.65</td>\n",
       "      <td>529475</td>\n",
       "      <td>883525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>56.778125</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>37.376099</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.376099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>2021-05-06 10:00:00+05:30</td>\n",
       "      <td>32.30</td>\n",
       "      <td>36.60</td>\n",
       "      <td>29.85</td>\n",
       "      <td>35.60</td>\n",
       "      <td>463050</td>\n",
       "      <td>879350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51.462500</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>36.750942</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>36.750942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>2021-05-06 10:05:00+05:30</td>\n",
       "      <td>35.50</td>\n",
       "      <td>36.75</td>\n",
       "      <td>28.10</td>\n",
       "      <td>28.70</td>\n",
       "      <td>412225</td>\n",
       "      <td>917425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>47.140000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>35.817950</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.817950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>2021-05-06 10:10:00+05:30</td>\n",
       "      <td>28.65</td>\n",
       "      <td>29.90</td>\n",
       "      <td>25.20</td>\n",
       "      <td>28.55</td>\n",
       "      <td>573625</td>\n",
       "      <td>939800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.332000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>30.659671</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.659671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>2021-05-06 10:15:00+05:30</td>\n",
       "      <td>28.05</td>\n",
       "      <td>29.90</td>\n",
       "      <td>20.80</td>\n",
       "      <td>21.60</td>\n",
       "      <td>887575</td>\n",
       "      <td>960050</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.705600</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>28.405433</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.405433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>2021-05-06 10:20:00+05:30</td>\n",
       "      <td>21.60</td>\n",
       "      <td>23.65</td>\n",
       "      <td>20.05</td>\n",
       "      <td>22.10</td>\n",
       "      <td>509525</td>\n",
       "      <td>922400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>35.924480</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>24.623228</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.623228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>2021-05-06 10:25:00+05:30</td>\n",
       "      <td>22.25</td>\n",
       "      <td>24.60</td>\n",
       "      <td>21.00</td>\n",
       "      <td>23.10</td>\n",
       "      <td>513100</td>\n",
       "      <td>1006800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>32.749584</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>24.623228</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.623228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>2021-05-06 10:30:00+05:30</td>\n",
       "      <td>22.90</td>\n",
       "      <td>23.00</td>\n",
       "      <td>19.20</td>\n",
       "      <td>21.80</td>\n",
       "      <td>379250</td>\n",
       "      <td>1026200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>30.209667</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>23.436861</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>2021-05-06 10:35:00+05:30</td>\n",
       "      <td>21.65</td>\n",
       "      <td>23.95</td>\n",
       "      <td>19.60</td>\n",
       "      <td>21.65</td>\n",
       "      <td>390950</td>\n",
       "      <td>1036250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.007734</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>23.436861</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>2021-05-06 10:40:00+05:30</td>\n",
       "      <td>21.65</td>\n",
       "      <td>23.05</td>\n",
       "      <td>20.00</td>\n",
       "      <td>21.70</td>\n",
       "      <td>239825</td>\n",
       "      <td>1050625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.246187</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>23.436861</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>2021-05-06 10:45:00+05:30</td>\n",
       "      <td>21.90</td>\n",
       "      <td>23.35</td>\n",
       "      <td>21.10</td>\n",
       "      <td>21.90</td>\n",
       "      <td>217225</td>\n",
       "      <td>1050825</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.836950</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>23.436861</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>2021-05-06 10:50:00+05:30</td>\n",
       "      <td>21.90</td>\n",
       "      <td>23.90</td>\n",
       "      <td>20.65</td>\n",
       "      <td>21.80</td>\n",
       "      <td>269775</td>\n",
       "      <td>1076950</td>\n",
       "      <td>19.200000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.20</td>\n",
       "      <td>True</td>\n",
       "      <td>23.436861</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.436861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>2021-05-06 10:55:00+05:30</td>\n",
       "      <td>21.90</td>\n",
       "      <td>22.35</td>\n",
       "      <td>21.05</td>\n",
       "      <td>21.40</td>\n",
       "      <td>168425</td>\n",
       "      <td>1089600</td>\n",
       "      <td>19.482000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>23.210075</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.210075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>2021-05-06 11:10:00+05:30</td>\n",
       "      <td>22.75</td>\n",
       "      <td>23.85</td>\n",
       "      <td>14.05</td>\n",
       "      <td>15.85</td>\n",
       "      <td>705600</td>\n",
       "      <td>1090150</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.550000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>20.632409</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.632409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>2021-05-06 11:15:00+05:30</td>\n",
       "      <td>16.00</td>\n",
       "      <td>16.30</td>\n",
       "      <td>14.50</td>\n",
       "      <td>15.00</td>\n",
       "      <td>553675</td>\n",
       "      <td>1096375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.400000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>16.919208</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.919208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>2021-05-06 11:20:00+05:30</td>\n",
       "      <td>15.15</td>\n",
       "      <td>15.20</td>\n",
       "      <td>11.10</td>\n",
       "      <td>11.25</td>\n",
       "      <td>596400</td>\n",
       "      <td>1079725</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.659000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>14.627892</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.627892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>2021-05-06 11:25:00+05:30</td>\n",
       "      <td>11.30</td>\n",
       "      <td>12.80</td>\n",
       "      <td>11.00</td>\n",
       "      <td>12.65</td>\n",
       "      <td>417100</td>\n",
       "      <td>1009200</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23.911920</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>13.243908</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.243908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>2021-05-06 11:45:00+05:30</td>\n",
       "      <td>12.05</td>\n",
       "      <td>14.85</td>\n",
       "      <td>11.00</td>\n",
       "      <td>11.00</td>\n",
       "      <td>456950</td>\n",
       "      <td>1020075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.645376</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>13.993346</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.993346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>2021-05-06 12:40:00+05:30</td>\n",
       "      <td>20.60</td>\n",
       "      <td>20.80</td>\n",
       "      <td>14.75</td>\n",
       "      <td>17.35</td>\n",
       "      <td>420775</td>\n",
       "      <td>1153925</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.150000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>True</td>\n",
       "      <td>19.398922</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.398922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>2021-05-06 12:45:00+05:30</td>\n",
       "      <td>17.45</td>\n",
       "      <td>18.05</td>\n",
       "      <td>14.65</td>\n",
       "      <td>15.40</td>\n",
       "      <td>310625</td>\n",
       "      <td>1151400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>25.466000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>17.887647</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.887647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>2021-05-06 13:05:00+05:30</td>\n",
       "      <td>18.10</td>\n",
       "      <td>18.65</td>\n",
       "      <td>13.15</td>\n",
       "      <td>13.55</td>\n",
       "      <td>545425</td>\n",
       "      <td>1200950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.700000</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>17.471475</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.471475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2021-05-06 13:10:00+05:30</td>\n",
       "      <td>13.35</td>\n",
       "      <td>16.65</td>\n",
       "      <td>11.95</td>\n",
       "      <td>14.70</td>\n",
       "      <td>524725</td>\n",
       "      <td>1189525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.400000</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>15.848407</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.848407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2021-05-06 13:15:00+05:30</td>\n",
       "      <td>14.65</td>\n",
       "      <td>15.75</td>\n",
       "      <td>10.15</td>\n",
       "      <td>10.75</td>\n",
       "      <td>737275</td>\n",
       "      <td>1152225</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.710000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>14.517206</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.517206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2021-05-06 13:20:00+05:30</td>\n",
       "      <td>10.90</td>\n",
       "      <td>11.10</td>\n",
       "      <td>4.85</td>\n",
       "      <td>5.20</td>\n",
       "      <td>1176200</td>\n",
       "      <td>1099925</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.998000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>9.586177</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.586177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>2021-05-06 13:25:00+05:30</td>\n",
       "      <td>5.15</td>\n",
       "      <td>6.50</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.60</td>\n",
       "      <td>943300</td>\n",
       "      <td>997425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15.750000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>7.218151</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.218151</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>2021-05-06 13:30:00+05:30</td>\n",
       "      <td>5.60</td>\n",
       "      <td>6.20</td>\n",
       "      <td>4.65</td>\n",
       "      <td>4.75</td>\n",
       "      <td>866625</td>\n",
       "      <td>1024900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.570000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>6.728415</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.728415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>2021-05-06 13:35:00+05:30</td>\n",
       "      <td>4.85</td>\n",
       "      <td>4.90</td>\n",
       "      <td>4.00</td>\n",
       "      <td>4.35</td>\n",
       "      <td>1062200</td>\n",
       "      <td>933675</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.786000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>5.605785</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.605785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>2021-05-06 13:40:00+05:30</td>\n",
       "      <td>4.40</td>\n",
       "      <td>5.60</td>\n",
       "      <td>4.40</td>\n",
       "      <td>5.00</td>\n",
       "      <td>765825</td>\n",
       "      <td>940250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.228800</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>5.605785</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.605785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>2021-05-06 13:50:00+05:30</td>\n",
       "      <td>5.60</td>\n",
       "      <td>5.90</td>\n",
       "      <td>4.05</td>\n",
       "      <td>4.15</td>\n",
       "      <td>579450</td>\n",
       "      <td>940375</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.986432</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>5.867404</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.867404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>2021-05-06 13:55:00+05:30</td>\n",
       "      <td>4.10</td>\n",
       "      <td>5.05</td>\n",
       "      <td>3.85</td>\n",
       "      <td>4.90</td>\n",
       "      <td>945400</td>\n",
       "      <td>926025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.189146</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>5.266346</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.266346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>2021-05-06 14:05:00+05:30</td>\n",
       "      <td>6.35</td>\n",
       "      <td>7.20</td>\n",
       "      <td>4.15</td>\n",
       "      <td>4.15</td>\n",
       "      <td>879400</td>\n",
       "      <td>989600</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.550000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>True</td>\n",
       "      <td>6.620377</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.620377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>2021-05-06 14:10:00+05:30</td>\n",
       "      <td>4.25</td>\n",
       "      <td>4.30</td>\n",
       "      <td>3.00</td>\n",
       "      <td>3.45</td>\n",
       "      <td>1368000</td>\n",
       "      <td>968625</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.550000</td>\n",
       "      <td>0.06</td>\n",
       "      <td>False</td>\n",
       "      <td>4.516037</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.516037</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>2021-05-06 14:15:00+05:30</td>\n",
       "      <td>3.40</td>\n",
       "      <td>3.85</td>\n",
       "      <td>2.45</td>\n",
       "      <td>2.50</td>\n",
       "      <td>1597925</td>\n",
       "      <td>888900</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.644000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>False</td>\n",
       "      <td>3.952318</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.952318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>2021-05-06 14:20:00+05:30</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2.65</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.55</td>\n",
       "      <td>900700</td>\n",
       "      <td>822025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.349080</td>\n",
       "      <td>0.18</td>\n",
       "      <td>False</td>\n",
       "      <td>2.789129</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.789129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>2021-05-06 14:25:00+05:30</td>\n",
       "      <td>1.55</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.35</td>\n",
       "      <td>1.55</td>\n",
       "      <td>426400</td>\n",
       "      <td>788300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.969264</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>2.146397</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.146397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>2021-05-06 14:30:00+05:30</td>\n",
       "      <td>1.60</td>\n",
       "      <td>2.10</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.95</td>\n",
       "      <td>388250</td>\n",
       "      <td>790750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.845411</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>2.146397</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.146397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>2021-05-06 14:40:00+05:30</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2.40</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.45</td>\n",
       "      <td>606625</td>\n",
       "      <td>810850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.227063</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>2.468547</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.468547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>2021-05-06 14:45:00+05:30</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.50</td>\n",
       "      <td>1.10</td>\n",
       "      <td>1.45</td>\n",
       "      <td>427300</td>\n",
       "      <td>775500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.950000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>1.783040</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.783040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>2021-05-06 14:50:00+05:30</td>\n",
       "      <td>1.45</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.30</td>\n",
       "      <td>307250</td>\n",
       "      <td>777350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.380000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>1.783040</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.783040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>2021-05-06 14:55:00+05:30</td>\n",
       "      <td>1.25</td>\n",
       "      <td>1.30</td>\n",
       "      <td>0.75</td>\n",
       "      <td>0.75</td>\n",
       "      <td>339825</td>\n",
       "      <td>753650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.924000</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>1.418152</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.418152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>2021-05-06 15:00:00+05:30</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.90</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.55</td>\n",
       "      <td>319525</td>\n",
       "      <td>665550</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.489200</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>1.076988</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.076988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>2021-05-06 15:05:00+05:30</td>\n",
       "      <td>0.55</td>\n",
       "      <td>0.70</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.30</td>\n",
       "      <td>353250</td>\n",
       "      <td>578775</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.101360</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>0.795989</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.795989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>2021-05-06 15:10:00+05:30</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.35</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.20</td>\n",
       "      <td>186250</td>\n",
       "      <td>568350</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.731088</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>0.556562</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.556562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>2021-05-06 15:15:00+05:30</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.30</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.15</td>\n",
       "      <td>140400</td>\n",
       "      <td>535425</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.424870</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>0.472768</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.472768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>2021-05-06 15:20:00+05:30</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "      <td>193100</td>\n",
       "      <td>421975</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.169896</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>0.343801</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.343801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>2021-05-06 15:25:00+05:30</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.05</td>\n",
       "      <td>52700</td>\n",
       "      <td>399125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.945917</td>\n",
       "      <td>0.20</td>\n",
       "      <td>False</td>\n",
       "      <td>0.291829</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.291829</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          date    open    high     low   close   volume  \\\n",
       "11   2021-05-04 10:10:00+05:30  239.00  240.75  210.30  217.15   108225   \n",
       "12   2021-05-04 10:15:00+05:30  217.70  230.85  202.55  222.00   102675   \n",
       "13   2021-05-04 10:20:00+05:30  221.65  229.00  209.75  211.60    78125   \n",
       "14   2021-05-04 10:25:00+05:30  211.35  223.90  205.65  214.60    77700   \n",
       "17   2021-05-04 10:40:00+05:30  230.55  230.75  213.40  221.35    75925   \n",
       "18   2021-05-04 10:45:00+05:30  222.25  231.05  213.45  225.80    66175   \n",
       "19   2021-05-04 10:50:00+05:30  226.25  237.60  215.15  219.45    76925   \n",
       "20   2021-05-04 10:55:00+05:30  220.15  227.85  216.60  224.00    43400   \n",
       "24   2021-05-04 11:15:00+05:30  256.00  261.35  243.00  246.10    99225   \n",
       "25   2021-05-04 11:20:00+05:30  245.45  250.00  235.10  237.80    73525   \n",
       "26   2021-05-04 11:25:00+05:30  237.60  249.55  236.70  244.45    53525   \n",
       "27   2021-05-04 11:30:00+05:30  244.00  252.55  240.90  246.00    60100   \n",
       "30   2021-05-04 11:45:00+05:30  284.45  287.25  270.90  272.20    98300   \n",
       "31   2021-05-04 11:50:00+05:30  272.00  283.40  251.85  269.65   110750   \n",
       "32   2021-05-04 11:55:00+05:30  270.00  276.95  257.55  273.05    66625   \n",
       "34   2021-05-04 12:05:00+05:30  277.65  285.00  232.45  254.10   208100   \n",
       "35   2021-05-04 12:10:00+05:30  254.70  260.95  245.45  252.25    69950   \n",
       "36   2021-05-04 12:15:00+05:30  250.45  253.30  222.60  246.80   136150   \n",
       "39   2021-05-04 12:30:00+05:30  257.85  272.75  245.75  248.40   111175   \n",
       "40   2021-05-04 12:35:00+05:30  247.60  250.30  237.75  240.20   110975   \n",
       "43   2021-05-04 12:50:00+05:30  258.35  260.00  238.30  242.80    48225   \n",
       "44   2021-05-04 12:55:00+05:30  243.25  251.70  235.00  247.90    76050   \n",
       "45   2021-05-04 13:00:00+05:30  247.90  248.05  179.30  182.60   307950   \n",
       "46   2021-05-04 13:05:00+05:30  180.35  197.30  166.65  189.30   208575   \n",
       "47   2021-05-04 13:10:00+05:30  189.85  190.90  139.25  140.20   292250   \n",
       "48   2021-05-04 13:15:00+05:30  136.05  147.70  117.35  135.95   394500   \n",
       "49   2021-05-04 13:20:00+05:30  135.20  141.65  122.10  134.15   216050   \n",
       "57   2021-05-04 14:00:00+05:30  152.00  168.25  147.35  147.35   118450   \n",
       "58   2021-05-04 14:05:00+05:30  148.45  148.65  120.80  134.10   172900   \n",
       "59   2021-05-04 14:10:00+05:30  133.50  142.35  129.10  136.60    96175   \n",
       "60   2021-05-04 14:15:00+05:30  137.65  154.40  131.20  134.55   123975   \n",
       "63   2021-05-04 14:30:00+05:30  147.00  161.90  112.35  112.95   417175   \n",
       "64   2021-05-04 14:35:00+05:30  111.80  112.75   90.00   91.10   470875   \n",
       "65   2021-05-04 14:40:00+05:30   90.05   94.35   72.80   75.45   307000   \n",
       "66   2021-05-04 14:45:00+05:30   74.00   89.35   70.90   87.40   332850   \n",
       "67   2021-05-04 14:50:00+05:30   87.50   88.15   70.55   75.30   218050   \n",
       "68   2021-05-04 14:55:00+05:30   75.35   81.15   64.85   69.25   207400   \n",
       "69   2021-05-04 15:00:00+05:30   69.50   75.30   66.90   74.10   175000   \n",
       "70   2021-05-04 15:05:00+05:30   74.00   76.00   68.60   74.45   134650   \n",
       "71   2021-05-04 15:10:00+05:30   74.40   79.20   72.45   76.70   155850   \n",
       "72   2021-05-04 15:15:00+05:30   76.65   77.75   66.45   67.15    70225   \n",
       "73   2021-05-04 15:20:00+05:30   67.50   72.05   65.55   67.50    79350   \n",
       "74   2021-05-04 15:25:00+05:30   68.35   71.65   60.00   61.00    98450   \n",
       "81   2021-05-05 09:45:00+05:30  112.35  116.80  100.35  106.45   130675   \n",
       "82   2021-05-05 09:50:00+05:30  106.20  113.50  106.20  112.80    83900   \n",
       "84   2021-05-05 10:00:00+05:30  117.65  138.00   43.85   50.00   470550   \n",
       "89   2021-05-05 10:25:00+05:30  107.35  112.20   91.55  103.85   192425   \n",
       "90   2021-05-05 10:30:00+05:30  103.95  136.90  102.00  107.50   371275   \n",
       "91   2021-05-05 10:35:00+05:30  108.55  117.85   90.30  106.10   265475   \n",
       "92   2021-05-05 10:40:00+05:30  105.35  112.70   96.00  110.25   241850   \n",
       "94   2021-05-05 10:50:00+05:30  117.25  119.75   98.25  105.00   214500   \n",
       "95   2021-05-05 10:55:00+05:30  104.70  105.75   95.30  102.65   148250   \n",
       "96   2021-05-05 11:00:00+05:30  102.40  110.40  100.00  102.50   147075   \n",
       "97   2021-05-05 11:05:00+05:30  102.00  102.50   89.40   92.10   159175   \n",
       "98   2021-05-05 11:10:00+05:30   92.10   93.55   72.85   77.15   276875   \n",
       "99   2021-05-05 11:15:00+05:30   77.00   80.15   62.20   65.60   251600   \n",
       "100  2021-05-05 11:20:00+05:30   65.70   73.35   60.90   66.00   187300   \n",
       "103  2021-05-05 11:35:00+05:30   73.35   75.55   63.80   68.45   137625   \n",
       "104  2021-05-05 11:40:00+05:30   68.20   70.45   64.05   68.45   101425   \n",
       "112  2021-05-05 12:20:00+05:30   73.50   76.70   66.00   68.30    89775   \n",
       "113  2021-05-05 12:25:00+05:30   68.30   73.55   63.80   73.45   100350   \n",
       "114  2021-05-05 12:30:00+05:30   73.75   76.15   66.70   70.30    68025   \n",
       "115  2021-05-05 12:35:00+05:30   70.90   73.55   62.85   67.25   133350   \n",
       "116  2021-05-05 12:40:00+05:30   68.05   70.25   65.20   65.35    66400   \n",
       "117  2021-05-05 12:45:00+05:30   65.80   68.25   63.15   65.25    64550   \n",
       "123  2021-05-05 13:15:00+05:30  109.60  124.80   96.25  111.60   620850   \n",
       "124  2021-05-05 13:20:00+05:30  111.05  121.85  100.00  106.60   418675   \n",
       "125  2021-05-05 13:25:00+05:30  106.45  114.30   80.65   92.95   549225   \n",
       "126  2021-05-05 13:30:00+05:30   93.20   97.50   76.20   82.90   422550   \n",
       "127  2021-05-05 13:35:00+05:30   83.35   93.00   71.25   87.50   405425   \n",
       "130  2021-05-05 13:50:00+05:30   91.15   94.65   80.75   80.75   236825   \n",
       "131  2021-05-05 13:55:00+05:30   79.20   86.55   74.10   85.00   275250   \n",
       "132  2021-05-05 14:00:00+05:30   85.65   90.50   73.75   85.30   250400   \n",
       "133  2021-05-05 14:05:00+05:30   84.40   85.80   77.85   79.75   144450   \n",
       "134  2021-05-05 14:10:00+05:30   80.05   81.60   54.40   57.60   615050   \n",
       "135  2021-05-05 14:15:00+05:30   56.30   60.45   53.60   56.60   316250   \n",
       "141  2021-05-05 14:45:00+05:30   74.70   81.15   64.70   66.90   311800   \n",
       "142  2021-05-05 14:50:00+05:30   67.70   70.80   61.55   68.30   213050   \n",
       "143  2021-05-05 14:55:00+05:30   67.70   69.30   59.20   61.80   188250   \n",
       "150  2021-05-06 09:15:00+05:30   92.90  108.00   49.80   51.05   956750   \n",
       "151  2021-05-06 09:20:00+05:30   48.40   54.40   43.10   50.45   733650   \n",
       "152  2021-05-06 09:25:00+05:30   50.80   50.80   42.35   44.10   502125   \n",
       "153  2021-05-06 09:30:00+05:30   43.75   53.15   40.25   47.80   629325   \n",
       "155  2021-05-06 09:40:00+05:30   53.95   55.35   42.70   44.50   666975   \n",
       "156  2021-05-06 09:45:00+05:30   44.50   49.70   43.60   43.60   394875   \n",
       "157  2021-05-06 09:50:00+05:30   43.80   47.55   31.25   31.35   477700   \n",
       "158  2021-05-06 09:55:00+05:30   31.20   37.00   30.20   32.65   529475   \n",
       "159  2021-05-06 10:00:00+05:30   32.30   36.60   29.85   35.60   463050   \n",
       "160  2021-05-06 10:05:00+05:30   35.50   36.75   28.10   28.70   412225   \n",
       "161  2021-05-06 10:10:00+05:30   28.65   29.90   25.20   28.55   573625   \n",
       "162  2021-05-06 10:15:00+05:30   28.05   29.90   20.80   21.60   887575   \n",
       "163  2021-05-06 10:20:00+05:30   21.60   23.65   20.05   22.10   509525   \n",
       "164  2021-05-06 10:25:00+05:30   22.25   24.60   21.00   23.10   513100   \n",
       "165  2021-05-06 10:30:00+05:30   22.90   23.00   19.20   21.80   379250   \n",
       "166  2021-05-06 10:35:00+05:30   21.65   23.95   19.60   21.65   390950   \n",
       "167  2021-05-06 10:40:00+05:30   21.65   23.05   20.00   21.70   239825   \n",
       "168  2021-05-06 10:45:00+05:30   21.90   23.35   21.10   21.90   217225   \n",
       "169  2021-05-06 10:50:00+05:30   21.90   23.90   20.65   21.80   269775   \n",
       "170  2021-05-06 10:55:00+05:30   21.90   22.35   21.05   21.40   168425   \n",
       "173  2021-05-06 11:10:00+05:30   22.75   23.85   14.05   15.85   705600   \n",
       "174  2021-05-06 11:15:00+05:30   16.00   16.30   14.50   15.00   553675   \n",
       "175  2021-05-06 11:20:00+05:30   15.15   15.20   11.10   11.25   596400   \n",
       "176  2021-05-06 11:25:00+05:30   11.30   12.80   11.00   12.65   417100   \n",
       "180  2021-05-06 11:45:00+05:30   12.05   14.85   11.00   11.00   456950   \n",
       "191  2021-05-06 12:40:00+05:30   20.60   20.80   14.75   17.35   420775   \n",
       "192  2021-05-06 12:45:00+05:30   17.45   18.05   14.65   15.40   310625   \n",
       "196  2021-05-06 13:05:00+05:30   18.10   18.65   13.15   13.55   545425   \n",
       "197  2021-05-06 13:10:00+05:30   13.35   16.65   11.95   14.70   524725   \n",
       "198  2021-05-06 13:15:00+05:30   14.65   15.75   10.15   10.75   737275   \n",
       "199  2021-05-06 13:20:00+05:30   10.90   11.10    4.85    5.20  1176200   \n",
       "200  2021-05-06 13:25:00+05:30    5.15    6.50    5.05    5.60   943300   \n",
       "201  2021-05-06 13:30:00+05:30    5.60    6.20    4.65    4.75   866625   \n",
       "202  2021-05-06 13:35:00+05:30    4.85    4.90    4.00    4.35  1062200   \n",
       "203  2021-05-06 13:40:00+05:30    4.40    5.60    4.40    5.00   765825   \n",
       "205  2021-05-06 13:50:00+05:30    5.60    5.90    4.05    4.15   579450   \n",
       "206  2021-05-06 13:55:00+05:30    4.10    5.05    3.85    4.90   945400   \n",
       "208  2021-05-06 14:05:00+05:30    6.35    7.20    4.15    4.15   879400   \n",
       "209  2021-05-06 14:10:00+05:30    4.25    4.30    3.00    3.45  1368000   \n",
       "210  2021-05-06 14:15:00+05:30    3.40    3.85    2.45    2.50  1597925   \n",
       "211  2021-05-06 14:20:00+05:30    2.50    2.65    1.45    1.55   900700   \n",
       "212  2021-05-06 14:25:00+05:30    1.55    1.65    1.35    1.55   426400   \n",
       "213  2021-05-06 14:30:00+05:30    1.60    2.10    1.45    1.95   388250   \n",
       "215  2021-05-06 14:40:00+05:30    2.25    2.40    1.45    1.45   606625   \n",
       "216  2021-05-06 14:45:00+05:30    1.45    1.50    1.10    1.45   427300   \n",
       "217  2021-05-06 14:50:00+05:30    1.45    1.65    1.25    1.30   307250   \n",
       "218  2021-05-06 14:55:00+05:30    1.25    1.30    0.75    0.75   339825   \n",
       "219  2021-05-06 15:00:00+05:30    0.70    0.90    0.55    0.55   319525   \n",
       "220  2021-05-06 15:05:00+05:30    0.55    0.70    0.25    0.30   353250   \n",
       "221  2021-05-06 15:10:00+05:30    0.35    0.35    0.20    0.20   186250   \n",
       "222  2021-05-06 15:15:00+05:30    0.20    0.30    0.15    0.15   140400   \n",
       "223  2021-05-06 15:20:00+05:30    0.15    0.20    0.05    0.05   193100   \n",
       "224  2021-05-06 15:25:00+05:30    0.05    0.15    0.05    0.05    52700   \n",
       "\n",
       "          oi  PSARl_0.06_0.2  PSARs_0.06_0.2  PSARaf_0.06_0.2  PSARr_0.06_0.2  \\\n",
       "11    286850      175.131344             NaN             0.12           False   \n",
       "12    286850      184.109583             NaN             0.12           False   \n",
       "13    287000      192.010433             NaN             0.12           False   \n",
       "14    287200      198.963181             NaN             0.12           False   \n",
       "17    398225      210.966000             NaN             0.12           False   \n",
       "18    399650             NaN      249.950000             0.12            True   \n",
       "19    398900             NaN      247.760000             0.06           False   \n",
       "20    403150             NaN      245.701400             0.06           False   \n",
       "24    386275      222.143040             NaN             0.12           False   \n",
       "25    387200      227.321875             NaN             0.12           False   \n",
       "26    389825      231.879250             NaN             0.12           False   \n",
       "27    389200      235.100000             NaN             0.12           False   \n",
       "30    382250      245.450000             NaN             0.20           False   \n",
       "31    383275             NaN      288.700000             0.20            True   \n",
       "32    387025             NaN      287.250000             0.06           False   \n",
       "34    400675      251.850000             NaN             0.06            True   \n",
       "35    403575             NaN      285.000000             0.06            True   \n",
       "36    402050             NaN      285.000000             0.06           False   \n",
       "39    433975      222.600000             NaN             0.12            True   \n",
       "40    453075      225.609000             NaN             0.06           False   \n",
       "43    448525      233.500000             NaN             0.06           False   \n",
       "44    462800             NaN      272.750000             0.06            True   \n",
       "45    471225             NaN      270.485000             0.06           False   \n",
       "46    501700             NaN      259.542800             0.12           False   \n",
       "47    509700             NaN      248.050000             0.18           False   \n",
       "48    502950             NaN      226.290000             0.20           False   \n",
       "49    501600             NaN      204.502000             0.20           False   \n",
       "57    510725      131.715978             NaN             0.12           False   \n",
       "58    517150             NaN      174.150000             0.12            True   \n",
       "59    517125             NaN      170.949000             0.06           False   \n",
       "60    518300             NaN      167.940060             0.06           False   \n",
       "63    514600      120.800000             NaN             0.06            True   \n",
       "64    456525             NaN      161.900000             0.06            True   \n",
       "65    432575             NaN      161.900000             0.06           False   \n",
       "66    389800             NaN      151.208000             0.12           False   \n",
       "67    389500             NaN      136.752560             0.18           False   \n",
       "68    376650             NaN      123.512048             0.20           False   \n",
       "69    383300             NaN      111.779638             0.20           False   \n",
       "70    373125             NaN      102.393711             0.20           False   \n",
       "71    370150             NaN       94.884969             0.20           False   \n",
       "72    362075             NaN       88.877975             0.20           False   \n",
       "73    350425             NaN       84.072380             0.20           False   \n",
       "74    339125             NaN       80.227904             0.20           False   \n",
       "81    445925       85.530466             NaN             0.12           False   \n",
       "82    454700       90.200810             NaN             0.12           False   \n",
       "84    448375             NaN      124.450000             0.12            True   \n",
       "89    495200       59.173677             NaN             0.06           False   \n",
       "90    483750       63.681257             NaN             0.06           False   \n",
       "91    508625       72.467506             NaN             0.12           False   \n",
       "92    508400       80.199405             NaN             0.12           False   \n",
       "94    509650       92.991059             NaN             0.12           False   \n",
       "95    509875             NaN      136.900000             0.12            True   \n",
       "96    504075             NaN      134.404000             0.06           False   \n",
       "97    513000             NaN      132.057760             0.06           False   \n",
       "98    508275             NaN      126.938829             0.12           False   \n",
       "99    508025             NaN      117.202840             0.18           False   \n",
       "100   491325             NaN      106.202272             0.20           False   \n",
       "103   471750             NaN       84.094763             0.20           False   \n",
       "104   469775             NaN       82.350000             0.20           False   \n",
       "112   462100       61.601800             NaN             0.06           False   \n",
       "113   462625       62.900692             NaN             0.06           False   \n",
       "114   460200       63.800000             NaN             0.06           False   \n",
       "115   462250             NaN       83.250000             0.06            True   \n",
       "116   464975             NaN       82.026000             0.06           False   \n",
       "117   461350             NaN       80.875440             0.06           False   \n",
       "123   669600       94.371040             NaN             0.20           False   \n",
       "124   686650             NaN      134.300000             0.20            True   \n",
       "125   672350             NaN      132.242000             0.06           False   \n",
       "126   640550             NaN      126.050960             0.12           False   \n",
       "127   607350             NaN      117.077787             0.18           False   \n",
       "130   618900             NaN       99.750000             0.20           False   \n",
       "131   609975             NaN       94.650000             0.20           False   \n",
       "132   600150       71.250000             NaN             0.20            True   \n",
       "133   597725       72.405000             NaN             0.06           False   \n",
       "134   568775             NaN       90.500000             0.06            True   \n",
       "135   579575             NaN       88.334000             0.06           False   \n",
       "141   530575       58.911192             NaN             0.06           False   \n",
       "142   512225       60.473520             NaN             0.06           False   \n",
       "143   518300             NaN       84.950000             0.06            True   \n",
       "150   384025             NaN       95.000000             0.12            True   \n",
       "151   384025             NaN      108.000000             0.06           False   \n",
       "152   384025             NaN      108.000000             0.12           False   \n",
       "153   384025             NaN       96.183000             0.18           False   \n",
       "155   384025             NaN       76.047120             0.20           False   \n",
       "156   384025             NaN       68.887696             0.20           False   \n",
       "157   856375             NaN       63.160157             0.20           False   \n",
       "158   883525             NaN       56.778125             0.20           False   \n",
       "159   879350             NaN       51.462500             0.20           False   \n",
       "160   917425             NaN       47.140000             0.20           False   \n",
       "161   939800             NaN       43.332000             0.20           False   \n",
       "162   960050             NaN       39.705600             0.20           False   \n",
       "163   922400             NaN       35.924480             0.20           False   \n",
       "164  1006800             NaN       32.749584             0.20           False   \n",
       "165  1026200             NaN       30.209667             0.20           False   \n",
       "166  1036250             NaN       28.007734             0.20           False   \n",
       "167  1050625             NaN       26.246187             0.20           False   \n",
       "168  1050825             NaN       24.836950             0.20           False   \n",
       "169  1076950       19.200000             NaN             0.20            True   \n",
       "170  1089600       19.482000             NaN             0.06           False   \n",
       "173  1090150             NaN       26.550000             0.12            True   \n",
       "174  1096375             NaN       26.400000             0.06           False   \n",
       "175  1079725             NaN       25.659000             0.06           False   \n",
       "176  1009200             NaN       23.911920             0.12           False   \n",
       "180  1020075             NaN       16.645376             0.20           False   \n",
       "191  1153925             NaN       26.150000             0.12            True   \n",
       "192  1151400             NaN       25.466000             0.06           False   \n",
       "196  1200950             NaN       20.700000             0.18           False   \n",
       "197  1189525             NaN       20.400000             0.18           False   \n",
       "198  1152225             NaN       18.710000             0.20           False   \n",
       "199  1099925             NaN       16.998000             0.20           False   \n",
       "200   997425             NaN       15.750000             0.20           False   \n",
       "201  1024900             NaN       13.570000             0.20           False   \n",
       "202   933675             NaN       11.786000             0.20           False   \n",
       "203   940250             NaN       10.228800             0.20           False   \n",
       "205   940375             NaN        7.986432             0.20           False   \n",
       "206   926025             NaN        7.189146             0.20           False   \n",
       "208   989600             NaN       10.550000             0.06            True   \n",
       "209   968625             NaN       10.550000             0.06           False   \n",
       "210   888900             NaN        9.644000             0.12           False   \n",
       "211   822025             NaN        8.349080             0.18           False   \n",
       "212   788300             NaN        6.969264             0.20           False   \n",
       "213   790750             NaN        5.845411             0.20           False   \n",
       "215   810850             NaN        4.227063             0.20           False   \n",
       "216   775500             NaN        3.950000             0.20           False   \n",
       "217   777350             NaN        3.380000             0.20           False   \n",
       "218   753650             NaN        2.924000             0.20           False   \n",
       "219   665550             NaN        2.489200             0.20           False   \n",
       "220   578775             NaN        2.101360             0.20           False   \n",
       "221   568350             NaN        1.731088             0.20           False   \n",
       "222   535425             NaN        1.424870             0.20           False   \n",
       "223   421975             NaN        1.169896             0.20           False   \n",
       "224   399125             NaN        0.945917             0.20           False   \n",
       "\n",
       "     SUPERT_7_0.3  SUPERTd_7_0.3  SUPERTl_7_0.3  SUPERTs_7_0.3  \n",
       "11     235.316052             -1            NaN     235.316052  \n",
       "12     226.276229             -1            NaN     226.276229  \n",
       "13     226.276229             -1            NaN     226.276229  \n",
       "14     223.184315             -1            NaN     223.184315  \n",
       "17     229.481081             -1            NaN     229.481081  \n",
       "18     229.335202             -1            NaN     229.335202  \n",
       "19     229.335202             -1            NaN     229.335202  \n",
       "20     228.713870             -1            NaN     228.713870  \n",
       "24     258.692296             -1            NaN     258.692296  \n",
       "25     248.769412             -1            NaN     248.769412  \n",
       "26     248.769412             -1            NaN     248.769412  \n",
       "27     248.769412             -1            NaN     248.769412  \n",
       "30     284.988063             -1            NaN     284.988063  \n",
       "31     274.049166             -1            NaN     274.049166  \n",
       "32     273.587320             -1            NaN     273.587320  \n",
       "34     266.067491             -1            NaN     266.067491  \n",
       "35     260.156347             -1            NaN     260.156347  \n",
       "36     245.229374             -1            NaN     245.229374  \n",
       "39     266.242765             -1            NaN     266.242765  \n",
       "40     250.555825             -1            NaN     250.555825  \n",
       "43     255.672580             -1            NaN     255.672580  \n",
       "44     249.656287             -1            NaN     249.656287  \n",
       "45     222.028522             -1            NaN     222.028522  \n",
       "46     190.448819             -1            NaN     190.448819  \n",
       "47     174.552459             -1            NaN     174.552459  \n",
       "48     141.949222             -1            NaN     141.949222  \n",
       "49     140.790533             -1            NaN     140.790533  \n",
       "57     164.875134             -1            NaN     164.875134  \n",
       "58     141.982993             -1            NaN     141.982993  \n",
       "59     141.982993             -1            NaN     141.982993  \n",
       "60     141.982993             -1            NaN     141.982993  \n",
       "63     144.643656             -1            NaN     144.643656  \n",
       "64     108.803130             -1            NaN     108.803130  \n",
       "65      90.865535             -1            NaN      90.865535  \n",
       "66      87.164736             -1            NaN      87.164736  \n",
       "67      86.138338             -1            NaN      86.138338  \n",
       "68      79.517140             -1            NaN      79.517140  \n",
       "69      77.046108             -1            NaN      77.046108  \n",
       "70      77.046108             -1            NaN      77.046108  \n",
       "71      77.046108             -1            NaN      77.046108  \n",
       "72      76.809720             -1            NaN      76.809720  \n",
       "73      73.115470             -1            NaN      73.115470  \n",
       "74      70.023259             -1            NaN      70.023259  \n",
       "81     113.578796             -1            NaN     113.578796  \n",
       "82     113.578796             -1            NaN     113.578796  \n",
       "84      98.653183             -1            NaN      98.653183  \n",
       "89     110.242397             -1            NaN     110.242397  \n",
       "90     110.242397             -1            NaN     110.242397  \n",
       "91     112.685231             -1            NaN     112.685231  \n",
       "92     112.445912             -1            NaN     112.445912  \n",
       "94     116.369037             -1            NaN     116.369037  \n",
       "95     107.289174             -1            NaN     107.289174  \n",
       "96     107.289174             -1            NaN     107.289174  \n",
       "97     101.863067             -1            NaN     101.863067  \n",
       "98      89.155486             -1            NaN      89.155486  \n",
       "99      77.048988             -1            NaN      77.048988  \n",
       "100     72.693418             -1            NaN      72.693418  \n",
       "103     74.371365             -1            NaN      74.371365  \n",
       "104     71.549742             -1            NaN      71.549742  \n",
       "112     75.060899             -1            NaN      75.060899  \n",
       "113     72.273627             -1            NaN      72.273627  \n",
       "114     72.273627             -1            NaN      72.273627  \n",
       "115     71.649604             -1            NaN      71.649604  \n",
       "116     70.898232             -1            NaN      70.898232  \n",
       "117     68.638484             -1            NaN      68.638484  \n",
       "123    116.538577             -1            NaN     116.538577  \n",
       "124    116.538577             -1            NaN     116.538577  \n",
       "125    104.137934             -1            NaN     104.137934  \n",
       "126     93.473943             -1            NaN      93.473943  \n",
       "127     88.734809             -1            NaN      88.734809  \n",
       "130     93.464428             -1            NaN      93.464428  \n",
       "131     85.799509             -1            NaN      85.799509  \n",
       "132     85.799509             -1            NaN      85.799509  \n",
       "133     85.799509             -1            NaN      85.799509  \n",
       "134     73.432665             -1            NaN      73.432665  \n",
       "135     61.975141             -1            NaN      61.975141  \n",
       "141     77.614106             -1            NaN      77.614106  \n",
       "142     70.590662             -1            NaN      70.590662  \n",
       "143     68.467710             -1            NaN      68.467710  \n",
       "150     84.557805             -1            NaN      84.557805  \n",
       "151     54.083833             -1            NaN      54.083833  \n",
       "152     51.509000             -1            NaN      51.509000  \n",
       "153     51.482000             -1            NaN      51.482000  \n",
       "155     53.302694             -1            NaN      53.302694  \n",
       "156     50.578023             -1            NaN      50.578023  \n",
       "157     43.465448             -1            NaN      43.465448  \n",
       "158     37.376099             -1            NaN      37.376099  \n",
       "159     36.750942             -1            NaN      36.750942  \n",
       "160     35.817950             -1            NaN      35.817950  \n",
       "161     30.659671             -1            NaN      30.659671  \n",
       "162     28.405433             -1            NaN      28.405433  \n",
       "163     24.623228             -1            NaN      24.623228  \n",
       "164     24.623228             -1            NaN      24.623228  \n",
       "165     23.436861             -1            NaN      23.436861  \n",
       "166     23.436861             -1            NaN      23.436861  \n",
       "167     23.436861             -1            NaN      23.436861  \n",
       "168     23.436861             -1            NaN      23.436861  \n",
       "169     23.436861             -1            NaN      23.436861  \n",
       "170     23.210075             -1            NaN      23.210075  \n",
       "173     20.632409             -1            NaN      20.632409  \n",
       "174     16.919208             -1            NaN      16.919208  \n",
       "175     14.627892             -1            NaN      14.627892  \n",
       "176     13.243908             -1            NaN      13.243908  \n",
       "180     13.993346             -1            NaN      13.993346  \n",
       "191     19.398922             -1            NaN      19.398922  \n",
       "192     17.887647             -1            NaN      17.887647  \n",
       "196     17.471475             -1            NaN      17.471475  \n",
       "197     15.848407             -1            NaN      15.848407  \n",
       "198     14.517206             -1            NaN      14.517206  \n",
       "199      9.586177             -1            NaN       9.586177  \n",
       "200      7.218151             -1            NaN       7.218151  \n",
       "201      6.728415             -1            NaN       6.728415  \n",
       "202      5.605785             -1            NaN       5.605785  \n",
       "203      5.605785             -1            NaN       5.605785  \n",
       "205      5.867404             -1            NaN       5.867404  \n",
       "206      5.266346             -1            NaN       5.266346  \n",
       "208      6.620377             -1            NaN       6.620377  \n",
       "209      4.516037             -1            NaN       4.516037  \n",
       "210      3.952318             -1            NaN       3.952318  \n",
       "211      2.789129             -1            NaN       2.789129  \n",
       "212      2.146397             -1            NaN       2.146397  \n",
       "213      2.146397             -1            NaN       2.146397  \n",
       "215      2.468547             -1            NaN       2.468547  \n",
       "216      1.783040             -1            NaN       1.783040  \n",
       "217      1.783040             -1            NaN       1.783040  \n",
       "218      1.418152             -1            NaN       1.418152  \n",
       "219      1.076988             -1            NaN       1.076988  \n",
       "220      0.795989             -1            NaN       0.795989  \n",
       "221      0.556562             -1            NaN       0.556562  \n",
       "222      0.472768             -1            NaN       0.472768  \n",
       "223      0.343801             -1            NaN       0.343801  \n",
       "224      0.291829             -1            NaN       0.291829  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['SUPERTd_7_0.3']==-1]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d85394b1",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "85f23def",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "68689ac3",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv(\"bankniftyCE2021-05-14.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6915e42b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df2.drop(\"Unnamed: 0\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "9f702507",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>SUPERTd_7_0.3</th>\n",
       "      <th>SUPERTl_7_0.3</th>\n",
       "      <th>SUPERTs_7_0.3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2021-05-12 09:15:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021-05-12 09:20:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2021-05-12 09:25:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2021-05-12 09:30:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021-05-12 09:35:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2021-05-12 09:40:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2021-05-12 09:45:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>582.905435</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2021-05-12 09:50:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>583.100008</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2021-05-12 09:55:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>593.669259</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2021-05-12 10:00:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>601.531482</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2021-05-12 10:05:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>605.193576</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2021-05-12 10:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>602.084182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2021-05-12 10:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>590.529808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2021-05-12 10:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>569.565693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2021-05-12 10:25:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>566.373885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2021-05-12 10:30:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>563.711999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2021-05-12 10:35:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>560.088453</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2021-05-12 10:40:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>560.260724</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2021-05-12 10:45:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>573.033984</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2021-05-12 10:50:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>576.049833</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2021-05-12 10:55:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>571.263337</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2021-05-12 11:00:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>580.867755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2021-05-12 11:05:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>561.091434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2021-05-12 11:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>531.752265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2021-05-12 11:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>522.149015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2021-05-12 11:20:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>512.600574</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2021-05-12 11:25:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>527.632812</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2021-05-12 11:30:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>531.018318</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2021-05-12 11:35:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>540.212495</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2021-05-12 11:40:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>540.212495</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2021-05-12 11:45:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>555.218121</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2021-05-12 11:50:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>570.451863</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2021-05-12 11:55:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>570.451863</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2021-05-12 12:00:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>570.451863</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2021-05-12 12:05:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>590.184674</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2021-05-12 12:10:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>602.383448</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2021-05-12 12:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>617.330281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2021-05-12 12:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>612.726157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2021-05-12 12:25:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>613.512900</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2021-05-12 12:30:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>625.801031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2021-05-12 12:35:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>602.997931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2021-05-12 12:40:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>601.434923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2021-05-12 12:45:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>590.655510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2021-05-12 12:50:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>590.655510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2021-05-12 12:55:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>587.134568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2021-05-12 13:00:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>587.134568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2021-05-12 13:05:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>585.896802</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2021-05-12 13:10:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>589.390310</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2021-05-12 13:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>598.618284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2021-05-12 13:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>588.651266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2021-05-12 13:25:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>588.651266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2021-05-12 13:30:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>588.651266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2021-05-12 13:35:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>576.382087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2021-05-12 13:40:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>550.776061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2021-05-12 13:45:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>550.776061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>2021-05-12 13:50:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>545.500295</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>2021-05-12 13:55:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>557.035930</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>2021-05-12 14:00:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>576.789372</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>2021-05-12 14:05:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>577.229486</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>2021-05-12 14:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>581.737563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>2021-05-12 14:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>581.737563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>2021-05-12 14:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>578.889207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>2021-05-12 14:25:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>578.846441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>2021-05-12 14:30:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>578.846441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>2021-05-12 14:35:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>561.945194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2021-05-12 14:40:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>554.915866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>2021-05-12 14:45:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>543.167882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2021-05-12 14:50:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>519.336777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>2021-05-12 14:55:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>493.610114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>2021-05-12 15:00:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>460.719883</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>2021-05-12 15:05:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>474.602759</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>2021-05-12 15:10:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>475.958091</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>2021-05-12 15:15:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>483.532658</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>2021-05-12 15:20:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>483.532658</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>2021-05-12 15:25:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>483.532658</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>2021-05-14 09:15:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>481.809785</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>2021-05-14 09:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>517.733061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>2021-05-14 09:25:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>484.334053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>2021-05-14 09:30:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>446.256334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>2021-05-14 09:35:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>419.413138</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>2021-05-14 09:40:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>446.536975</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>2021-05-14 09:45:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>441.095974</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2021-05-14 09:50:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>471.296551</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>2021-05-14 09:55:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>471.296551</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>2021-05-14 10:00:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>471.296551</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>2021-05-14 10:05:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>471.296551</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>2021-05-14 10:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>472.938448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>2021-05-14 10:15:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>440.712758</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>2021-05-14 10:20:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>456.819508</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2021-05-14 10:25:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>460.847564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2021-05-14 10:30:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>460.847564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>2021-05-14 10:35:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>458.707189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>2021-05-14 10:40:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>442.030448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>2021-05-14 10:45:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>442.030448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>2021-05-14 10:50:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>435.098696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>2021-05-14 10:55:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>428.257453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>2021-05-14 11:00:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>421.742103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>2021-05-14 11:05:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>404.678945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>2021-05-14 11:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>404.678945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2021-05-14 11:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>404.678945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>2021-05-14 11:20:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>390.401656</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>2021-05-14 11:25:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>397.738562</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>2021-05-14 11:30:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>397.738562</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>2021-05-14 11:35:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>385.120648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>2021-05-14 11:40:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>362.530556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>2021-05-14 11:45:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>355.559048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>2021-05-14 11:50:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>355.559048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>2021-05-14 11:55:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>355.559048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>2021-05-14 12:00:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>340.948730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>2021-05-14 12:05:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>339.661768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>2021-05-14 12:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>336.411516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>2021-05-14 12:15:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>330.888701</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>2021-05-14 12:20:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>336.316029</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>2021-05-14 12:25:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>337.433739</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>2021-05-14 12:30:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>343.558223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>2021-05-14 12:35:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>337.532951</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>2021-05-14 12:40:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>344.646815</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>2021-05-14 12:45:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>346.448699</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>2021-05-14 12:50:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>346.448699</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>2021-05-14 12:55:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>355.806058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>2021-05-14 13:00:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>347.185192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>2021-05-14 13:05:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>337.585549</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>2021-05-14 13:10:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>345.603328</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>2021-05-14 13:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>342.245719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>2021-05-14 13:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>342.245719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>2021-05-14 13:25:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>334.553758</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>2021-05-14 13:30:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>345.783221</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>2021-05-14 13:35:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>352.644382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>2021-05-14 13:40:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>327.252328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>2021-05-14 13:45:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>312.100862</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>2021-05-14 13:50:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>321.936453</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>2021-05-14 13:55:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>326.361612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>2021-05-14 14:00:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312.482810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>2021-05-14 14:05:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312.482810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>2021-05-14 14:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312.482810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>2021-05-14 14:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>312.482810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>2021-05-14 14:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>314.793695</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>2021-05-14 14:25:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>308.010310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>2021-05-14 14:30:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>304.930449</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>2021-05-14 14:35:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>323.380385</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>2021-05-14 14:40:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>327.081758</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>2021-05-14 14:45:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>335.082936</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>2021-05-14 14:50:00+05:30</td>\n",
       "      <td>1</td>\n",
       "      <td>335.082936</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>2021-05-14 14:55:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>339.890904</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>2021-05-14 15:00:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>334.633632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>2021-05-14 15:05:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>325.748828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>2021-05-14 15:10:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>316.191852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>2021-05-14 15:15:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>316.191852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>2021-05-14 15:20:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>310.566565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>2021-05-14 15:25:00+05:30</td>\n",
       "      <td>-1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>306.842770</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          date  SUPERTd_7_0.3  SUPERTl_7_0.3  SUPERTs_7_0.3\n",
       "0    2021-05-12 09:15:00+05:30              1            NaN            NaN\n",
       "1    2021-05-12 09:20:00+05:30              1            NaN            NaN\n",
       "2    2021-05-12 09:25:00+05:30              1            NaN            NaN\n",
       "3    2021-05-12 09:30:00+05:30              1            NaN            NaN\n",
       "4    2021-05-12 09:35:00+05:30              1            NaN            NaN\n",
       "5    2021-05-12 09:40:00+05:30              1            NaN            NaN\n",
       "6    2021-05-12 09:45:00+05:30              1     582.905435            NaN\n",
       "7    2021-05-12 09:50:00+05:30              1     583.100008            NaN\n",
       "8    2021-05-12 09:55:00+05:30              1     593.669259            NaN\n",
       "9    2021-05-12 10:00:00+05:30              1     601.531482            NaN\n",
       "10   2021-05-12 10:05:00+05:30              1     605.193576            NaN\n",
       "11   2021-05-12 10:10:00+05:30             -1            NaN     602.084182\n",
       "12   2021-05-12 10:15:00+05:30             -1            NaN     590.529808\n",
       "13   2021-05-12 10:20:00+05:30             -1            NaN     569.565693\n",
       "14   2021-05-12 10:25:00+05:30             -1            NaN     566.373885\n",
       "15   2021-05-12 10:30:00+05:30             -1            NaN     563.711999\n",
       "16   2021-05-12 10:35:00+05:30              1     560.088453            NaN\n",
       "17   2021-05-12 10:40:00+05:30              1     560.260724            NaN\n",
       "18   2021-05-12 10:45:00+05:30              1     573.033984            NaN\n",
       "19   2021-05-12 10:50:00+05:30             -1            NaN     576.049833\n",
       "20   2021-05-12 10:55:00+05:30              1     571.263337            NaN\n",
       "21   2021-05-12 11:00:00+05:30             -1            NaN     580.867755\n",
       "22   2021-05-12 11:05:00+05:30             -1            NaN     561.091434\n",
       "23   2021-05-12 11:10:00+05:30             -1            NaN     531.752265\n",
       "24   2021-05-12 11:15:00+05:30             -1            NaN     522.149015\n",
       "25   2021-05-12 11:20:00+05:30              1     512.600574            NaN\n",
       "26   2021-05-12 11:25:00+05:30              1     527.632812            NaN\n",
       "27   2021-05-12 11:30:00+05:30              1     531.018318            NaN\n",
       "28   2021-05-12 11:35:00+05:30              1     540.212495            NaN\n",
       "29   2021-05-12 11:40:00+05:30              1     540.212495            NaN\n",
       "30   2021-05-12 11:45:00+05:30              1     555.218121            NaN\n",
       "31   2021-05-12 11:50:00+05:30              1     570.451863            NaN\n",
       "32   2021-05-12 11:55:00+05:30              1     570.451863            NaN\n",
       "33   2021-05-12 12:00:00+05:30              1     570.451863            NaN\n",
       "34   2021-05-12 12:05:00+05:30              1     590.184674            NaN\n",
       "35   2021-05-12 12:10:00+05:30              1     602.383448            NaN\n",
       "36   2021-05-12 12:15:00+05:30             -1            NaN     617.330281\n",
       "37   2021-05-12 12:20:00+05:30             -1            NaN     612.726157\n",
       "38   2021-05-12 12:25:00+05:30              1     613.512900            NaN\n",
       "39   2021-05-12 12:30:00+05:30             -1            NaN     625.801031\n",
       "40   2021-05-12 12:35:00+05:30             -1            NaN     602.997931\n",
       "41   2021-05-12 12:40:00+05:30             -1            NaN     601.434923\n",
       "42   2021-05-12 12:45:00+05:30             -1            NaN     590.655510\n",
       "43   2021-05-12 12:50:00+05:30             -1            NaN     590.655510\n",
       "44   2021-05-12 12:55:00+05:30             -1            NaN     587.134568\n",
       "45   2021-05-12 13:00:00+05:30             -1            NaN     587.134568\n",
       "46   2021-05-12 13:05:00+05:30              1     585.896802            NaN\n",
       "47   2021-05-12 13:10:00+05:30              1     589.390310            NaN\n",
       "48   2021-05-12 13:15:00+05:30             -1            NaN     598.618284\n",
       "49   2021-05-12 13:20:00+05:30             -1            NaN     588.651266\n",
       "50   2021-05-12 13:25:00+05:30             -1            NaN     588.651266\n",
       "51   2021-05-12 13:30:00+05:30             -1            NaN     588.651266\n",
       "52   2021-05-12 13:35:00+05:30             -1            NaN     576.382087\n",
       "53   2021-05-12 13:40:00+05:30             -1            NaN     550.776061\n",
       "54   2021-05-12 13:45:00+05:30             -1            NaN     550.776061\n",
       "55   2021-05-12 13:50:00+05:30              1     545.500295            NaN\n",
       "56   2021-05-12 13:55:00+05:30              1     557.035930            NaN\n",
       "57   2021-05-12 14:00:00+05:30              1     576.789372            NaN\n",
       "58   2021-05-12 14:05:00+05:30              1     577.229486            NaN\n",
       "59   2021-05-12 14:10:00+05:30             -1            NaN     581.737563\n",
       "60   2021-05-12 14:15:00+05:30             -1            NaN     581.737563\n",
       "61   2021-05-12 14:20:00+05:30             -1            NaN     578.889207\n",
       "62   2021-05-12 14:25:00+05:30             -1            NaN     578.846441\n",
       "63   2021-05-12 14:30:00+05:30             -1            NaN     578.846441\n",
       "64   2021-05-12 14:35:00+05:30             -1            NaN     561.945194\n",
       "65   2021-05-12 14:40:00+05:30             -1            NaN     554.915866\n",
       "66   2021-05-12 14:45:00+05:30             -1            NaN     543.167882\n",
       "67   2021-05-12 14:50:00+05:30             -1            NaN     519.336777\n",
       "68   2021-05-12 14:55:00+05:30             -1            NaN     493.610114\n",
       "69   2021-05-12 15:00:00+05:30              1     460.719883            NaN\n",
       "70   2021-05-12 15:05:00+05:30              1     474.602759            NaN\n",
       "71   2021-05-12 15:10:00+05:30              1     475.958091            NaN\n",
       "72   2021-05-12 15:15:00+05:30              1     483.532658            NaN\n",
       "73   2021-05-12 15:20:00+05:30              1     483.532658            NaN\n",
       "74   2021-05-12 15:25:00+05:30              1     483.532658            NaN\n",
       "75   2021-05-14 09:15:00+05:30              1     481.809785            NaN\n",
       "76   2021-05-14 09:20:00+05:30             -1            NaN     517.733061\n",
       "77   2021-05-14 09:25:00+05:30             -1            NaN     484.334053\n",
       "78   2021-05-14 09:30:00+05:30             -1            NaN     446.256334\n",
       "79   2021-05-14 09:35:00+05:30              1     419.413138            NaN\n",
       "80   2021-05-14 09:40:00+05:30              1     446.536975            NaN\n",
       "81   2021-05-14 09:45:00+05:30              1     441.095974            NaN\n",
       "82   2021-05-14 09:50:00+05:30              1     471.296551            NaN\n",
       "83   2021-05-14 09:55:00+05:30              1     471.296551            NaN\n",
       "84   2021-05-14 10:00:00+05:30              1     471.296551            NaN\n",
       "85   2021-05-14 10:05:00+05:30              1     471.296551            NaN\n",
       "86   2021-05-14 10:10:00+05:30             -1            NaN     472.938448\n",
       "87   2021-05-14 10:15:00+05:30              1     440.712758            NaN\n",
       "88   2021-05-14 10:20:00+05:30              1     456.819508            NaN\n",
       "89   2021-05-14 10:25:00+05:30             -1            NaN     460.847564\n",
       "90   2021-05-14 10:30:00+05:30             -1            NaN     460.847564\n",
       "91   2021-05-14 10:35:00+05:30             -1            NaN     458.707189\n",
       "92   2021-05-14 10:40:00+05:30             -1            NaN     442.030448\n",
       "93   2021-05-14 10:45:00+05:30             -1            NaN     442.030448\n",
       "94   2021-05-14 10:50:00+05:30             -1            NaN     435.098696\n",
       "95   2021-05-14 10:55:00+05:30             -1            NaN     428.257453\n",
       "96   2021-05-14 11:00:00+05:30             -1            NaN     421.742103\n",
       "97   2021-05-14 11:05:00+05:30             -1            NaN     404.678945\n",
       "98   2021-05-14 11:10:00+05:30             -1            NaN     404.678945\n",
       "99   2021-05-14 11:15:00+05:30             -1            NaN     404.678945\n",
       "100  2021-05-14 11:20:00+05:30              1     390.401656            NaN\n",
       "101  2021-05-14 11:25:00+05:30              1     397.738562            NaN\n",
       "102  2021-05-14 11:30:00+05:30              1     397.738562            NaN\n",
       "103  2021-05-14 11:35:00+05:30             -1            NaN     385.120648\n",
       "104  2021-05-14 11:40:00+05:30             -1            NaN     362.530556\n",
       "105  2021-05-14 11:45:00+05:30             -1            NaN     355.559048\n",
       "106  2021-05-14 11:50:00+05:30             -1            NaN     355.559048\n",
       "107  2021-05-14 11:55:00+05:30             -1            NaN     355.559048\n",
       "108  2021-05-14 12:00:00+05:30             -1            NaN     340.948730\n",
       "109  2021-05-14 12:05:00+05:30             -1            NaN     339.661768\n",
       "110  2021-05-14 12:10:00+05:30             -1            NaN     336.411516\n",
       "111  2021-05-14 12:15:00+05:30              1     330.888701            NaN\n",
       "112  2021-05-14 12:20:00+05:30              1     336.316029            NaN\n",
       "113  2021-05-14 12:25:00+05:30              1     337.433739            NaN\n",
       "114  2021-05-14 12:30:00+05:30             -1            NaN     343.558223\n",
       "115  2021-05-14 12:35:00+05:30              1     337.532951            NaN\n",
       "116  2021-05-14 12:40:00+05:30              1     344.646815            NaN\n",
       "117  2021-05-14 12:45:00+05:30              1     346.448699            NaN\n",
       "118  2021-05-14 12:50:00+05:30              1     346.448699            NaN\n",
       "119  2021-05-14 12:55:00+05:30             -1            NaN     355.806058\n",
       "120  2021-05-14 13:00:00+05:30             -1            NaN     347.185192\n",
       "121  2021-05-14 13:05:00+05:30              1     337.585549            NaN\n",
       "122  2021-05-14 13:10:00+05:30              1     345.603328            NaN\n",
       "123  2021-05-14 13:15:00+05:30             -1            NaN     342.245719\n",
       "124  2021-05-14 13:20:00+05:30             -1            NaN     342.245719\n",
       "125  2021-05-14 13:25:00+05:30              1     334.553758            NaN\n",
       "126  2021-05-14 13:30:00+05:30              1     345.783221            NaN\n",
       "127  2021-05-14 13:35:00+05:30             -1            NaN     352.644382\n",
       "128  2021-05-14 13:40:00+05:30             -1            NaN     327.252328\n",
       "129  2021-05-14 13:45:00+05:30              1     312.100862            NaN\n",
       "130  2021-05-14 13:50:00+05:30              1     321.936453            NaN\n",
       "131  2021-05-14 13:55:00+05:30             -1            NaN     326.361612\n",
       "132  2021-05-14 14:00:00+05:30             -1            NaN     312.482810\n",
       "133  2021-05-14 14:05:00+05:30             -1            NaN     312.482810\n",
       "134  2021-05-14 14:10:00+05:30             -1            NaN     312.482810\n",
       "135  2021-05-14 14:15:00+05:30             -1            NaN     312.482810\n",
       "136  2021-05-14 14:20:00+05:30             -1            NaN     314.793695\n",
       "137  2021-05-14 14:25:00+05:30             -1            NaN     308.010310\n",
       "138  2021-05-14 14:30:00+05:30              1     304.930449            NaN\n",
       "139  2021-05-14 14:35:00+05:30              1     323.380385            NaN\n",
       "140  2021-05-14 14:40:00+05:30              1     327.081758            NaN\n",
       "141  2021-05-14 14:45:00+05:30              1     335.082936            NaN\n",
       "142  2021-05-14 14:50:00+05:30              1     335.082936            NaN\n",
       "143  2021-05-14 14:55:00+05:30             -1            NaN     339.890904\n",
       "144  2021-05-14 15:00:00+05:30             -1            NaN     334.633632\n",
       "145  2021-05-14 15:05:00+05:30             -1            NaN     325.748828\n",
       "146  2021-05-14 15:10:00+05:30             -1            NaN     316.191852\n",
       "147  2021-05-14 15:15:00+05:30             -1            NaN     316.191852\n",
       "148  2021-05-14 15:20:00+05:30             -1            NaN     310.566565\n",
       "149  2021-05-14 15:25:00+05:30             -1            NaN     306.842770"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df2[['date', 'SUPERTd_7_0.3','SUPERTl_7_0.3','SUPERTs_7_0.3']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5f6a29e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import talib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8df0749e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a89dcc44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0             NaN\n",
       "1             NaN\n",
       "2             NaN\n",
       "3             NaN\n",
       "4             NaN\n",
       "5             NaN\n",
       "6             NaN\n",
       "7             NaN\n",
       "8             NaN\n",
       "9             NaN\n",
       "10            NaN\n",
       "11            NaN\n",
       "12            NaN\n",
       "13            NaN\n",
       "14            NaN\n",
       "15            NaN\n",
       "16            NaN\n",
       "17            NaN\n",
       "18            NaN\n",
       "19            NaN\n",
       "20            NaN\n",
       "21            NaN\n",
       "22            NaN\n",
       "23            NaN\n",
       "24            NaN\n",
       "25            NaN\n",
       "26            NaN\n",
       "27            NaN\n",
       "28            NaN\n",
       "29            NaN\n",
       "30            NaN\n",
       "31            NaN\n",
       "32            NaN\n",
       "33            NaN\n",
       "34            NaN\n",
       "35            NaN\n",
       "36            NaN\n",
       "37            NaN\n",
       "38            NaN\n",
       "39            NaN\n",
       "40            NaN\n",
       "41            NaN\n",
       "42            NaN\n",
       "43     580.597727\n",
       "44     579.130682\n",
       "45     578.276136\n",
       "46     577.748864\n",
       "47     577.630682\n",
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       "49     577.421591\n",
       "50     577.330682\n",
       "51     577.329545\n",
       "52     575.990909\n",
       "53     574.352273\n",
       "54     572.993182\n",
       "55     572.425000\n",
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       "62     574.385227\n",
       "63     574.406818\n",
       "64     573.782955\n",
       "65     573.230682\n",
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       "68     571.578409\n",
       "69     570.825000\n",
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       "71     568.262500\n",
       "72     567.037500\n",
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       "74     563.854545\n",
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       "76     560.109091\n",
       "77     557.445455\n",
       "78     553.036364\n",
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       "81     542.946591\n",
       "82     539.886364\n",
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       "84     534.211364\n",
       "85     531.917045\n",
       "86     528.685227\n",
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       "88     523.411364\n",
       "89     520.297727\n",
       "90     517.047727\n",
       "91     513.493182\n",
       "92     510.163636\n",
       "93     506.745455\n",
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       "99     485.880682\n",
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       "102    473.780682\n",
       "103    469.080682\n",
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       "105    459.013636\n",
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       "118    408.680682\n",
       "119    404.507955\n",
       "120    401.677273\n",
       "121    399.293182\n",
       "122    397.598864\n",
       "123    394.950000\n",
       "124    392.719318\n",
       "125    389.390909\n",
       "126    386.359091\n",
       "127    383.030682\n",
       "128    378.976136\n",
       "129    375.714773\n",
       "130    373.205682\n",
       "131    369.292045\n",
       "132    365.850000\n",
       "133    362.804545\n",
       "134    359.434091\n",
       "135    356.726136\n",
       "136    353.546591\n",
       "137    350.575000\n",
       "138    348.226136\n",
       "139    346.115909\n",
       "140    344.362500\n",
       "141    343.126136\n",
       "142    341.727273\n",
       "143    340.098864\n",
       "144    338.206818\n",
       "145    336.220455\n",
       "146    334.347727\n",
       "147    333.210227\n",
       "148    331.985227\n",
       "149    330.463636\n",
       "dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "talib.SMA(df2['close'], 44)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "88451cd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "1             NaN\n",
       "2             NaN\n",
       "3             NaN\n",
       "4             NaN\n",
       "5             NaN\n",
       "6      607.535714\n",
       "7      602.801786\n",
       "8      605.163839\n",
       "9      606.660379\n",
       "10     606.795285\n",
       "11     600.096463\n",
       "12     593.859848\n",
       "13     582.957386\n",
       "14     576.230539\n",
       "15     572.660404\n",
       "16     572.757803\n",
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       "20     574.726883\n",
       "21     573.757662\n",
       "22     562.968247\n",
       "23     551.576185\n",
       "24     542.419639\n",
       "25     538.527229\n",
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       "103    396.190587\n",
       "104    386.655441\n",
       "105    378.979080\n",
       "106    370.084310\n",
       "107    364.200733\n",
       "108    354.938050\n",
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       "112    345.320047\n",
       "113    344.140035\n",
       "114    341.142526\n",
       "115    343.094395\n",
       "116    348.383296\n",
       "117    349.712472\n",
       "118    350.784354\n",
       "119    349.688266\n",
       "120    347.916199\n",
       "121    349.412149\n",
       "122    347.921612\n",
       "123    345.641209\n",
       "124    343.993407\n",
       "125    344.170055\n",
       "126    348.740041\n",
       "127    343.442531\n",
       "128    334.594398\n",
       "129    333.820799\n",
       "130    333.615599\n",
       "131    327.436699\n",
       "132    322.352524\n",
       "133    319.514393\n",
       "134    316.710795\n",
       "135    315.595596\n",
       "136    311.946697\n",
       "137    310.272523\n",
       "138    311.416892\n",
       "139    316.812669\n",
       "140    319.009502\n",
       "141    324.869626\n",
       "142    327.827220\n",
       "143    329.057915\n",
       "144    327.830936\n",
       "145    325.460702\n",
       "146    323.270527\n",
       "147    320.890395\n",
       "148    316.705296\n",
       "149    309.778972\n",
       "dtype: float64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "talib.EMA(df2['close'], 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "767f530d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0             NaN\n",
       "1             NaN\n",
       "2             NaN\n",
       "3             NaN\n",
       "4             NaN\n",
       "5             NaN\n",
       "6             NaN\n",
       "7             NaN\n",
       "8             NaN\n",
       "9             NaN\n",
       "10            NaN\n",
       "11            NaN\n",
       "12     584.446365\n",
       "13     567.720427\n",
       "14     559.757685\n",
       "15     557.628163\n",
       "16     561.556671\n",
       "17     563.631665\n",
       "18     567.081245\n",
       "19     567.235306\n",
       "20     572.744759\n",
       "21     571.544154\n",
       "22     553.216054\n",
       "23     535.717994\n",
       "24     523.658586\n",
       "25     521.537132\n",
       "26     526.910244\n",
       "27     532.525729\n",
       "28     537.798456\n",
       "29     540.530086\n",
       "30     553.764748\n",
       "31     566.286449\n",
       "32     574.227627\n",
       "33     576.949063\n",
       "34     594.170555\n",
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       "36     608.757352\n",
       "37     611.223466\n",
       "38     622.609189\n",
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       "40     615.553519\n",
       "41     600.252021\n",
       "42     594.347927\n",
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       "44     588.015109\n",
       "45     584.882669\n",
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       "49     587.170350\n",
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       "98     397.408698\n",
       "99     397.238035\n",
       "100    398.902159\n",
       "101    399.647470\n",
       "102    397.538740\n",
       "103    381.006408\n",
       "104    368.115946\n",
       "105    359.317189\n",
       "106    348.666814\n",
       "107    343.724928\n",
       "108    332.634183\n",
       "109    324.609128\n",
       "110    325.625714\n",
       "111    330.820937\n",
       "112    335.235691\n",
       "113    335.691759\n",
       "114    332.558188\n",
       "115    338.120042\n",
       "116    348.619208\n",
       "117    350.886288\n",
       "118    352.468627\n",
       "119    350.129404\n",
       "120    346.918003\n",
       "121    349.785465\n",
       "122    347.083696\n",
       "123    343.302470\n",
       "124    341.003501\n",
       "125    342.060112\n",
       "126    350.585073\n",
       "127    340.853172\n",
       "128    326.016280\n",
       "129    326.807010\n",
       "130    328.201358\n",
       "131    318.741844\n",
       "132    312.018252\n",
       "133    309.635090\n",
       "134    307.198619\n",
       "135    307.625065\n",
       "136    303.232125\n",
       "137    302.480963\n",
       "138    306.431499\n",
       "139    317.120457\n",
       "140    320.887967\n",
       "141    330.673569\n",
       "142    334.398372\n",
       "143    334.909300\n",
       "144    331.299241\n",
       "145    326.284255\n",
       "146    322.245560\n",
       "147    318.336571\n",
       "148    311.651104\n",
       "149    300.793585\n",
       "dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "talib.DEMA(df2['close'], 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d1ff7228",
   "metadata": {},
   "outputs": [],
   "source": [
    "talib.TEMA??"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b9533d70",
   "metadata": {},
   "outputs": [],
   "source": [
    "import yfinance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "31ccaa70",
   "metadata": {},
   "outputs": [],
   "source": [
    "hcl = yfinance.Ticker('HCLTECH.NS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "e186cb5e",
   "metadata": {},
   "outputs": [],
   "source": [
    "sma44 = talib.SMA(hcl.history(period='max')['Close'], 44)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "347c12a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2079444690>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sma44.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "93412ad3",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "481e3ee4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.6.13 64-bit ('kiteapi': conda)",
   "language": "python",
   "name": "python361364bitkiteapiconda85c5fa01818f4eb49f615354bd0fbdb1"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}