Data_Science/stock-price-eda.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "EDA of Stock Market Dataset\n",
    "\n",
    "Dataset: https://www.kaggle.com/datasets/rohanrao/nifty50-stock-market-data\n",
    "\n",
    "The aim is to visualise and obtain data driven insights from and using the features from the dataset describing the price history and trading volumes of the fifty stocks in the index NIFTY 50 from NSE (National Stock Exchange) India. This can be helpful for investors, trader as well as finance researchers to notice market trends and make informed decisions\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import datetime as dt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Symbol</th>\n",
       "      <th>Series</th>\n",
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       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>VWAP</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>Trades</th>\n",
       "      <th>Deliverable Volume</th>\n",
       "      <th>%Deliverble</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-11-27</td>\n",
       "      <td>MUNDRAPORT</td>\n",
       "      <td>EQ</td>\n",
       "      <td>440.00</td>\n",
       "      <td>770.00</td>\n",
       "      <td>1050.00</td>\n",
       "      <td>770.0</td>\n",
       "      <td>959.0</td>\n",
       "      <td>962.90</td>\n",
       "      <td>984.72</td>\n",
       "      <td>27294366</td>\n",
       "      <td>2.687719e+15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9859619.0</td>\n",
       "      <td>0.3612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-11-28</td>\n",
       "      <td>MUNDRAPORT</td>\n",
       "      <td>EQ</td>\n",
       "      <td>962.90</td>\n",
       "      <td>984.00</td>\n",
       "      <td>990.00</td>\n",
       "      <td>874.0</td>\n",
       "      <td>885.0</td>\n",
       "      <td>893.90</td>\n",
       "      <td>941.38</td>\n",
       "      <td>4581338</td>\n",
       "      <td>4.312765e+14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1453278.0</td>\n",
       "      <td>0.3172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-11-29</td>\n",
       "      <td>MUNDRAPORT</td>\n",
       "      <td>EQ</td>\n",
       "      <td>893.90</td>\n",
       "      <td>909.00</td>\n",
       "      <td>914.75</td>\n",
       "      <td>841.0</td>\n",
       "      <td>887.0</td>\n",
       "      <td>884.20</td>\n",
       "      <td>888.09</td>\n",
       "      <td>5124121</td>\n",
       "      <td>4.550658e+14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1069678.0</td>\n",
       "      <td>0.2088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-11-30</td>\n",
       "      <td>MUNDRAPORT</td>\n",
       "      <td>EQ</td>\n",
       "      <td>884.20</td>\n",
       "      <td>890.00</td>\n",
       "      <td>958.00</td>\n",
       "      <td>890.0</td>\n",
       "      <td>929.0</td>\n",
       "      <td>921.55</td>\n",
       "      <td>929.17</td>\n",
       "      <td>4609762</td>\n",
       "      <td>4.283257e+14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1260913.0</td>\n",
       "      <td>0.2735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-12-03</td>\n",
       "      <td>MUNDRAPORT</td>\n",
       "      <td>EQ</td>\n",
       "      <td>921.55</td>\n",
       "      <td>939.75</td>\n",
       "      <td>995.00</td>\n",
       "      <td>922.0</td>\n",
       "      <td>980.0</td>\n",
       "      <td>969.30</td>\n",
       "      <td>965.65</td>\n",
       "      <td>2977470</td>\n",
       "      <td>2.875200e+14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>816123.0</td>\n",
       "      <td>0.2741</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date      Symbol Series  Prev Close    Open     High    Low   Last  \\\n",
       "0  2007-11-27  MUNDRAPORT     EQ      440.00  770.00  1050.00  770.0  959.0   \n",
       "1  2007-11-28  MUNDRAPORT     EQ      962.90  984.00   990.00  874.0  885.0   \n",
       "2  2007-11-29  MUNDRAPORT     EQ      893.90  909.00   914.75  841.0  887.0   \n",
       "3  2007-11-30  MUNDRAPORT     EQ      884.20  890.00   958.00  890.0  929.0   \n",
       "4  2007-12-03  MUNDRAPORT     EQ      921.55  939.75   995.00  922.0  980.0   \n",
       "\n",
       "    Close    VWAP    Volume      Turnover  Trades  Deliverable Volume  \\\n",
       "0  962.90  984.72  27294366  2.687719e+15     NaN           9859619.0   \n",
       "1  893.90  941.38   4581338  4.312765e+14     NaN           1453278.0   \n",
       "2  884.20  888.09   5124121  4.550658e+14     NaN           1069678.0   \n",
       "3  921.55  929.17   4609762  4.283257e+14     NaN           1260913.0   \n",
       "4  969.30  965.65   2977470  2.875200e+14     NaN            816123.0   \n",
       "\n",
       "   %Deliverble  \n",
       "0       0.3612  \n",
       "1       0.3172  \n",
       "2       0.2088  \n",
       "3       0.2735  \n",
       "4       0.2741  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(f\"C:\\\\Users\\\\HP\\\\Downloads\\\\archive (6)\\\\NIFTY50_all.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Date</th>\n",
       "      <th>Symbol</th>\n",
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       "      <th>Volume</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>Trades</th>\n",
       "      <th>Deliverable Volume</th>\n",
       "      <th>%Deliverble</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>235187</th>\n",
       "      <td>2021-04-26</td>\n",
       "      <td>ZEEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>188.00</td>\n",
       "      <td>190.6</td>\n",
       "      <td>191.10</td>\n",
       "      <td>185.10</td>\n",
       "      <td>186.70</td>\n",
       "      <td>186.40</td>\n",
       "      <td>187.35</td>\n",
       "      <td>8542755</td>\n",
       "      <td>1.600451e+14</td>\n",
       "      <td>52374.0</td>\n",
       "      <td>2340188.0</td>\n",
       "      <td>0.2739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235188</th>\n",
       "      <td>2021-04-27</td>\n",
       "      <td>ZEEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>186.40</td>\n",
       "      <td>188.0</td>\n",
       "      <td>192.95</td>\n",
       "      <td>186.80</td>\n",
       "      <td>188.80</td>\n",
       "      <td>188.15</td>\n",
       "      <td>189.41</td>\n",
       "      <td>14247767</td>\n",
       "      <td>2.698636e+14</td>\n",
       "      <td>73673.0</td>\n",
       "      <td>5425957.0</td>\n",
       "      <td>0.3808</td>\n",
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       "    <tr>\n",
       "      <th>235189</th>\n",
       "      <td>2021-04-28</td>\n",
       "      <td>ZEEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>188.15</td>\n",
       "      <td>188.8</td>\n",
       "      <td>190.60</td>\n",
       "      <td>187.10</td>\n",
       "      <td>188.95</td>\n",
       "      <td>189.10</td>\n",
       "      <td>188.85</td>\n",
       "      <td>8429439</td>\n",
       "      <td>1.591917e+14</td>\n",
       "      <td>44056.0</td>\n",
       "      <td>2413974.0</td>\n",
       "      <td>0.2864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235190</th>\n",
       "      <td>2021-04-29</td>\n",
       "      <td>ZEEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>189.10</td>\n",
       "      <td>190.8</td>\n",
       "      <td>191.65</td>\n",
       "      <td>186.00</td>\n",
       "      <td>186.60</td>\n",
       "      <td>186.55</td>\n",
       "      <td>187.44</td>\n",
       "      <td>9483009</td>\n",
       "      <td>1.777471e+14</td>\n",
       "      <td>60932.0</td>\n",
       "      <td>2744472.0</td>\n",
       "      <td>0.2894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235191</th>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>ZEEL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>186.55</td>\n",
       "      <td>185.3</td>\n",
       "      <td>190.95</td>\n",
       "      <td>183.65</td>\n",
       "      <td>185.00</td>\n",
       "      <td>185.60</td>\n",
       "      <td>187.53</td>\n",
       "      <td>11435285</td>\n",
       "      <td>2.144440e+14</td>\n",
       "      <td>62607.0</td>\n",
       "      <td>3323909.0</td>\n",
       "      <td>0.2907</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "              Date Symbol Series  Prev Close   Open    High     Low    Last  \\\n",
       "235187  2021-04-26   ZEEL     EQ      188.00  190.6  191.10  185.10  186.70   \n",
       "235188  2021-04-27   ZEEL     EQ      186.40  188.0  192.95  186.80  188.80   \n",
       "235189  2021-04-28   ZEEL     EQ      188.15  188.8  190.60  187.10  188.95   \n",
       "235190  2021-04-29   ZEEL     EQ      189.10  190.8  191.65  186.00  186.60   \n",
       "235191  2021-04-30   ZEEL     EQ      186.55  185.3  190.95  183.65  185.00   \n",
       "\n",
       "         Close    VWAP    Volume      Turnover   Trades  Deliverable Volume  \\\n",
       "235187  186.40  187.35   8542755  1.600451e+14  52374.0           2340188.0   \n",
       "235188  188.15  189.41  14247767  2.698636e+14  73673.0           5425957.0   \n",
       "235189  189.10  188.85   8429439  1.591917e+14  44056.0           2413974.0   \n",
       "235190  186.55  187.44   9483009  1.777471e+14  60932.0           2744472.0   \n",
       "235191  185.60  187.53  11435285  2.144440e+14  62607.0           3323909.0   \n",
       "\n",
       "        %Deliverble  \n",
       "235187       0.2739  \n",
       "235188       0.3808  \n",
       "235189       0.2864  \n",
       "235190       0.2894  \n",
       "235191       0.2907  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(235192, 15)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
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   ],
   "source": [
    "df.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 235192 entries, 0 to 235191\n",
      "Data columns (total 15 columns):\n",
      " #   Column              Non-Null Count   Dtype  \n",
      "---  ------              --------------   -----  \n",
      " 0   Date                235192 non-null  object \n",
      " 1   Symbol              235192 non-null  object \n",
      " 2   Series              235192 non-null  object \n",
      " 3   Prev Close          235192 non-null  float64\n",
      " 4   Open                235192 non-null  float64\n",
      " 5   High                235192 non-null  float64\n",
      " 6   Low                 235192 non-null  float64\n",
      " 7   Last                235192 non-null  float64\n",
      " 8   Close               235192 non-null  float64\n",
      " 9   VWAP                235192 non-null  float64\n",
      " 10  Volume              235192 non-null  int64  \n",
      " 11  Turnover            235192 non-null  float64\n",
      " 12  Trades              120344 non-null  float64\n",
      " 13  Deliverable Volume  219115 non-null  float64\n",
      " 14  %Deliverble         219115 non-null  float64\n",
      "dtypes: float64(11), int64(1), object(3)\n",
      "memory usage: 26.9+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                       0\n",
       "Symbol                     0\n",
       "Series                     0\n",
       "Prev Close                 0\n",
       "Open                       0\n",
       "High                       0\n",
       "Low                        0\n",
       "Last                       0\n",
       "Close                      0\n",
       "VWAP                       0\n",
       "Volume                     0\n",
       "Turnover                   0\n",
       "Trades                114848\n",
       "Deliverable Volume     16077\n",
       "%Deliverble            16077\n",
       "dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
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   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Prev Close</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>VWAP</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>Trades</th>\n",
       "      <th>Deliverable Volume</th>\n",
       "      <th>%Deliverble</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>235192.000000</td>\n",
       "      <td>235192.000000</td>\n",
       "      <td>235192.000000</td>\n",
       "      <td>235192.000000</td>\n",
       "      <td>235192.000000</td>\n",
       "      <td>235192.000000</td>\n",
       "      <td>235192.00000</td>\n",
       "      <td>2.351920e+05</td>\n",
       "      <td>2.351920e+05</td>\n",
       "      <td>1.203440e+05</td>\n",
       "      <td>2.191150e+05</td>\n",
       "      <td>219115.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1266.196349</td>\n",
       "      <td>1267.759708</td>\n",
       "      <td>1286.581440</td>\n",
       "      <td>1247.488465</td>\n",
       "      <td>1266.388302</td>\n",
       "      <td>1266.554351</td>\n",
       "      <td>1267.13230</td>\n",
       "      <td>3.045903e+06</td>\n",
       "      <td>1.610138e+14</td>\n",
       "      <td>6.196427e+04</td>\n",
       "      <td>1.315098e+06</td>\n",
       "      <td>0.502997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2581.370320</td>\n",
       "      <td>2585.259609</td>\n",
       "      <td>2619.649216</td>\n",
       "      <td>2546.621396</td>\n",
       "      <td>2581.392543</td>\n",
       "      <td>2582.140942</td>\n",
       "      <td>2582.69998</td>\n",
       "      <td>7.333981e+06</td>\n",
       "      <td>3.298085e+14</td>\n",
       "      <td>6.866457e+04</td>\n",
       "      <td>2.831670e+06</td>\n",
       "      <td>0.190019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>9.750000</td>\n",
       "      <td>8.500000</td>\n",
       "      <td>9.100000</td>\n",
       "      <td>9.150000</td>\n",
       "      <td>9.21000</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>1.047000e+07</td>\n",
       "      <td>1.100000e+01</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>0.023600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>274.300000</td>\n",
       "      <td>275.000000</td>\n",
       "      <td>279.500000</td>\n",
       "      <td>269.600000</td>\n",
       "      <td>274.400000</td>\n",
       "      <td>274.350000</td>\n",
       "      <td>274.69750</td>\n",
       "      <td>2.190095e+05</td>\n",
       "      <td>1.612816e+13</td>\n",
       "      <td>2.183400e+04</td>\n",
       "      <td>1.253830e+05</td>\n",
       "      <td>0.364700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>566.500000</td>\n",
       "      <td>567.025000</td>\n",
       "      <td>576.900000</td>\n",
       "      <td>556.500000</td>\n",
       "      <td>567.000000</td>\n",
       "      <td>566.700000</td>\n",
       "      <td>566.94000</td>\n",
       "      <td>1.010938e+06</td>\n",
       "      <td>6.832603e+13</td>\n",
       "      <td>4.406800e+04</td>\n",
       "      <td>5.017560e+05</td>\n",
       "      <td>0.511000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1242.200000</td>\n",
       "      <td>1243.312500</td>\n",
       "      <td>1263.000000</td>\n",
       "      <td>1221.650000</td>\n",
       "      <td>1242.900000</td>\n",
       "      <td>1242.400000</td>\n",
       "      <td>1242.66250</td>\n",
       "      <td>3.019851e+06</td>\n",
       "      <td>1.863835e+14</td>\n",
       "      <td>7.893550e+04</td>\n",
       "      <td>1.452233e+06</td>\n",
       "      <td>0.638400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>32861.950000</td>\n",
       "      <td>33399.950000</td>\n",
       "      <td>33480.000000</td>\n",
       "      <td>32468.100000</td>\n",
       "      <td>32849.000000</td>\n",
       "      <td>32861.950000</td>\n",
       "      <td>32975.24000</td>\n",
       "      <td>4.810589e+08</td>\n",
       "      <td>3.564334e+16</td>\n",
       "      <td>1.643015e+06</td>\n",
       "      <td>2.325307e+08</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Prev Close           Open           High            Low  \\\n",
       "count  235192.000000  235192.000000  235192.000000  235192.000000   \n",
       "mean     1266.196349    1267.759708    1286.581440    1247.488465   \n",
       "std      2581.370320    2585.259609    2619.649216    2546.621396   \n",
       "min         0.000000       8.500000       9.750000       8.500000   \n",
       "25%       274.300000     275.000000     279.500000     269.600000   \n",
       "50%       566.500000     567.025000     576.900000     556.500000   \n",
       "75%      1242.200000    1243.312500    1263.000000    1221.650000   \n",
       "max     32861.950000   33399.950000   33480.000000   32468.100000   \n",
       "\n",
       "                Last          Close          VWAP        Volume      Turnover  \\\n",
       "count  235192.000000  235192.000000  235192.00000  2.351920e+05  2.351920e+05   \n",
       "mean     1266.388302    1266.554351    1267.13230  3.045903e+06  1.610138e+14   \n",
       "std      2581.392543    2582.140942    2582.69998  7.333981e+06  3.298085e+14   \n",
       "min         9.100000       9.150000       9.21000  3.000000e+00  1.047000e+07   \n",
       "25%       274.400000     274.350000     274.69750  2.190095e+05  1.612816e+13   \n",
       "50%       567.000000     566.700000     566.94000  1.010938e+06  6.832603e+13   \n",
       "75%      1242.900000    1242.400000    1242.66250  3.019851e+06  1.863835e+14   \n",
       "max     32849.000000   32861.950000   32975.24000  4.810589e+08  3.564334e+16   \n",
       "\n",
       "             Trades  Deliverable Volume    %Deliverble  \n",
       "count  1.203440e+05        2.191150e+05  219115.000000  \n",
       "mean   6.196427e+04        1.315098e+06       0.502997  \n",
       "std    6.866457e+04        2.831670e+06       0.190019  \n",
       "min    1.100000e+01        5.000000e+00       0.023600  \n",
       "25%    2.183400e+04        1.253830e+05       0.364700  \n",
       "50%    4.406800e+04        5.017560e+05       0.511000  \n",
       "75%    7.893550e+04        1.452233e+06       0.638400  \n",
       "max    1.643015e+06        2.325307e+08       1.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of null values in Deliverable Volume: 16077\n",
      "Number of null values in %Deliverble: 16077\n",
      "\n",
      "Are they the same rows? True\n",
      "\n",
      "Sample rows with null values:\n",
      "            Date      Symbol Series  Prev Close   Open   High    Low   Last  \\\n",
      "3322  2000-01-03  ASIANPAINT     EQ      361.20  370.0  390.0  370.0  385.0   \n",
      "3323  2000-01-04  ASIANPAINT     EQ      381.65  380.0  392.0  375.0  390.0   \n",
      "3324  2000-01-05  ASIANPAINT     EQ      385.55  371.5  390.0  371.5  383.0   \n",
      "3325  2000-01-06  ASIANPAINT     EQ      383.00  384.9  384.9  374.5  375.1   \n",
      "3326  2000-01-07  ASIANPAINT     EQ      377.50  376.0  390.0  370.0  389.0   \n",
      "\n",
      "       Close    VWAP  Volume      Turnover  Trades  Deliverable Volume  \\\n",
      "3322  381.65  380.54    3318  1.262617e+11     NaN                 NaN   \n",
      "3323  385.55  383.50    4818  1.847699e+11     NaN                 NaN   \n",
      "3324  383.00  379.81    2628  9.981384e+10     NaN                 NaN   \n",
      "3325  377.50  379.88    3354  1.274114e+11     NaN                 NaN   \n",
      "3326  385.70  383.38    9589  3.676275e+11     NaN                 NaN   \n",
      "\n",
      "      %Deliverble  \n",
      "3322          NaN  \n",
      "3323          NaN  \n",
      "3324          NaN  \n",
      "3325          NaN  \n",
      "3326          NaN  \n"
     ]
    }
   ],
   "source": [
    "# Check if null values in Deliverable Volume and %Deliverble are in same rows\n",
    "deliv_vol_null = df[df['Deliverable Volume'].isnull()]\n",
    "deliv_pct_null = df[df['%Deliverble'].isnull()]\n",
    "\n",
    "print(\"Number of null values in Deliverable Volume:\", len(deliv_vol_null))\n",
    "print(\"Number of null values in %Deliverble:\", len(deliv_pct_null))\n",
    "print(\"\\nAre they the same rows?\", deliv_vol_null.index.equals(deliv_pct_null.index))\n",
    "\n",
    "# Display first few rows where either column is null to verify\n",
    "print(\"\\nSample rows with null values:\")\n",
    "print(df[df['Deliverable Volume'].isnull() | df['%Deliverble'].isnull()].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                      0\n",
       "Symbol                    0\n",
       "Series                    0\n",
       "Prev Close                0\n",
       "Open                      0\n",
       "High                      0\n",
       "Low                       0\n",
       "Last                      0\n",
       "Close                     0\n",
       "VWAP                      0\n",
       "Volume                    0\n",
       "Turnover                  0\n",
       "Trades                98771\n",
       "Deliverable Volume        0\n",
       "%Deliverble               0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#dropping these columns\n",
    "df.dropna(subset=['Deliverable Volume', '%Deliverble'], inplace=True)\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(61964.27098151964)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#replacing null values\n",
    "df_tre_mean = df['Trades'].mean()\n",
    "df_tre_median = df['Trades'].median()  \n",
    "df_tre_mode = df['Trades'].mode()\n",
    "df_tre_mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(44068.0)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_tre_median\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                  0\n",
       "Symbol                0\n",
       "Series                0\n",
       "Prev Close            0\n",
       "Open                  0\n",
       "High                  0\n",
       "Low                   0\n",
       "Last                  0\n",
       "Close                 0\n",
       "VWAP                  0\n",
       "Volume                0\n",
       "Turnover              0\n",
       "Trades                0\n",
       "Deliverable Volume    0\n",
       "%Deliverble           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.fillna(df['Trades'].median(), inplace=True)\n",
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    .dataframe tbody tr th {\n",
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       "    }\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>Symbol</th>\n",
       "      <th>Series</th>\n",
       "      <th>Prev Close</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>VWAP</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Turnover</th>\n",
       "      <th>Trades</th>\n",
       "      <th>Deliverable Volume</th>\n",
       "      <th>%Deliverble</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>162997</th>\n",
       "      <td>2008-02-29</td>\n",
       "      <td>POWERGRID</td>\n",
       "      <td>EQ</td>\n",
       "      <td>111.50</td>\n",
       "      <td>110.8</td>\n",
       "      <td>113.00</td>\n",
       "      <td>108.10</td>\n",
       "      <td>109.20</td>\n",
       "      <td>109.90</td>\n",
       "      <td>110.98</td>\n",
       "      <td>9268575</td>\n",
       "      <td>1.028587e+14</td>\n",
       "      <td>44068.0</td>\n",
       "      <td>3016805.0</td>\n",
       "      <td>0.3255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218995</th>\n",
       "      <td>2020-03-16</td>\n",
       "      <td>UPL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>410.85</td>\n",
       "      <td>392.3</td>\n",
       "      <td>394.95</td>\n",
       "      <td>373.50</td>\n",
       "      <td>374.80</td>\n",
       "      <td>376.80</td>\n",
       "      <td>383.10</td>\n",
       "      <td>5282609</td>\n",
       "      <td>2.023753e+14</td>\n",
       "      <td>97972.0</td>\n",
       "      <td>2080209.0</td>\n",
       "      <td>0.3938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45614</th>\n",
       "      <td>2018-09-12</td>\n",
       "      <td>CIPLA</td>\n",
       "      <td>EQ</td>\n",
       "      <td>654.90</td>\n",
       "      <td>654.9</td>\n",
       "      <td>662.00</td>\n",
       "      <td>643.25</td>\n",
       "      <td>653.75</td>\n",
       "      <td>656.45</td>\n",
       "      <td>653.24</td>\n",
       "      <td>3302191</td>\n",
       "      <td>2.157112e+14</td>\n",
       "      <td>55692.0</td>\n",
       "      <td>623369.0</td>\n",
       "      <td>0.1888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60262</th>\n",
       "      <td>2004-06-14</td>\n",
       "      <td>GAIL</td>\n",
       "      <td>EQ</td>\n",
       "      <td>167.05</td>\n",
       "      <td>168.0</td>\n",
       "      <td>169.50</td>\n",
       "      <td>164.15</td>\n",
       "      <td>165.05</td>\n",
       "      <td>165.35</td>\n",
       "      <td>166.02</td>\n",
       "      <td>4300887</td>\n",
       "      <td>7.140511e+13</td>\n",
       "      <td>44068.0</td>\n",
       "      <td>962439.0</td>\n",
       "      <td>0.2238</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197833</th>\n",
       "      <td>2004-11-29</td>\n",
       "      <td>TCS</td>\n",
       "      <td>EQ</td>\n",
       "      <td>1216.85</td>\n",
       "      <td>1216.0</td>\n",
       "      <td>1247.70</td>\n",
       "      <td>1205.55</td>\n",
       "      <td>1247.00</td>\n",
       "      <td>1243.90</td>\n",
       "      <td>1232.02</td>\n",
       "      <td>660186</td>\n",
       "      <td>8.133641e+13</td>\n",
       "      <td>44068.0</td>\n",
       "      <td>278261.0</td>\n",
       "      <td>0.4215</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Date     Symbol Series  Prev Close    Open     High      Low  \\\n",
       "162997  2008-02-29  POWERGRID     EQ      111.50   110.8   113.00   108.10   \n",
       "218995  2020-03-16        UPL     EQ      410.85   392.3   394.95   373.50   \n",
       "45614   2018-09-12      CIPLA     EQ      654.90   654.9   662.00   643.25   \n",
       "60262   2004-06-14       GAIL     EQ      167.05   168.0   169.50   164.15   \n",
       "197833  2004-11-29        TCS     EQ     1216.85  1216.0  1247.70  1205.55   \n",
       "\n",
       "           Last    Close     VWAP   Volume      Turnover   Trades  \\\n",
       "162997   109.20   109.90   110.98  9268575  1.028587e+14  44068.0   \n",
       "218995   374.80   376.80   383.10  5282609  2.023753e+14  97972.0   \n",
       "45614    653.75   656.45   653.24  3302191  2.157112e+14  55692.0   \n",
       "60262    165.05   165.35   166.02  4300887  7.140511e+13  44068.0   \n",
       "197833  1247.00  1243.90  1232.02   660186  8.133641e+13  44068.0   \n",
       "\n",
       "        Deliverable Volume  %Deliverble  \n",
       "162997           3016805.0       0.3255  \n",
       "218995           2080209.0       0.3938  \n",
       "45614             623369.0       0.1888  \n",
       "60262             962439.0       0.2238  \n",
       "197833            278261.0       0.4215  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#fill null with median\n",
    "df.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Trades'] = df['Trades'].astype(int)\n",
    "df['Deliverable Volume'] = df['Deliverable Volume'].astype(int)\n",
    "df['%Deliverble'] = df['%Deliverble'].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convert Turnover to billions and rename column\n",
    "df['Turnover_Billions'] = df['Turnover'] / 1e9\n",
    "df = df.drop('Turnover', axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop(['Symbol', 'Series'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Prev Close</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>VWAP</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Trades</th>\n",
       "      <th>Deliverable Volume</th>\n",
       "      <th>%Deliverble</th>\n",
       "      <th>Turnover_Billions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-11-27</td>\n",
       "      <td>440.00</td>\n",
       "      <td>770.00</td>\n",
       "      <td>1050.00</td>\n",
       "      <td>770.00</td>\n",
       "      <td>959.00</td>\n",
       "      <td>962.90</td>\n",
       "      <td>984.72</td>\n",
       "      <td>27294366</td>\n",
       "      <td>44068</td>\n",
       "      <td>9859619</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>2.687719e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-11-28</td>\n",
       "      <td>962.90</td>\n",
       "      <td>984.00</td>\n",
       "      <td>990.00</td>\n",
       "      <td>874.00</td>\n",
       "      <td>885.00</td>\n",
       "      <td>893.90</td>\n",
       "      <td>941.38</td>\n",
       "      <td>4581338</td>\n",
       "      <td>44068</td>\n",
       "      <td>1453278</td>\n",
       "      <td>0.3172</td>\n",
       "      <td>4.312765e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2007-11-29</td>\n",
       "      <td>893.90</td>\n",
       "      <td>909.00</td>\n",
       "      <td>914.75</td>\n",
       "      <td>841.00</td>\n",
       "      <td>887.00</td>\n",
       "      <td>884.20</td>\n",
       "      <td>888.09</td>\n",
       "      <td>5124121</td>\n",
       "      <td>44068</td>\n",
       "      <td>1069678</td>\n",
       "      <td>0.2088</td>\n",
       "      <td>4.550658e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2007-11-30</td>\n",
       "      <td>884.20</td>\n",
       "      <td>890.00</td>\n",
       "      <td>958.00</td>\n",
       "      <td>890.00</td>\n",
       "      <td>929.00</td>\n",
       "      <td>921.55</td>\n",
       "      <td>929.17</td>\n",
       "      <td>4609762</td>\n",
       "      <td>44068</td>\n",
       "      <td>1260913</td>\n",
       "      <td>0.2735</td>\n",
       "      <td>4.283257e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2007-12-03</td>\n",
       "      <td>921.55</td>\n",
       "      <td>939.75</td>\n",
       "      <td>995.00</td>\n",
       "      <td>922.00</td>\n",
       "      <td>980.00</td>\n",
       "      <td>969.30</td>\n",
       "      <td>965.65</td>\n",
       "      <td>2977470</td>\n",
       "      <td>44068</td>\n",
       "      <td>816123</td>\n",
       "      <td>0.2741</td>\n",
       "      <td>2.875200e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235187</th>\n",
       "      <td>2021-04-26</td>\n",
       "      <td>188.00</td>\n",
       "      <td>190.60</td>\n",
       "      <td>191.10</td>\n",
       "      <td>185.10</td>\n",
       "      <td>186.70</td>\n",
       "      <td>186.40</td>\n",
       "      <td>187.35</td>\n",
       "      <td>8542755</td>\n",
       "      <td>52374</td>\n",
       "      <td>2340188</td>\n",
       "      <td>0.2739</td>\n",
       "      <td>1.600451e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235188</th>\n",
       "      <td>2021-04-27</td>\n",
       "      <td>186.40</td>\n",
       "      <td>188.00</td>\n",
       "      <td>192.95</td>\n",
       "      <td>186.80</td>\n",
       "      <td>188.80</td>\n",
       "      <td>188.15</td>\n",
       "      <td>189.41</td>\n",
       "      <td>14247767</td>\n",
       "      <td>73673</td>\n",
       "      <td>5425957</td>\n",
       "      <td>0.3808</td>\n",
       "      <td>2.698636e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235189</th>\n",
       "      <td>2021-04-28</td>\n",
       "      <td>188.15</td>\n",
       "      <td>188.80</td>\n",
       "      <td>190.60</td>\n",
       "      <td>187.10</td>\n",
       "      <td>188.95</td>\n",
       "      <td>189.10</td>\n",
       "      <td>188.85</td>\n",
       "      <td>8429439</td>\n",
       "      <td>44056</td>\n",
       "      <td>2413974</td>\n",
       "      <td>0.2864</td>\n",
       "      <td>1.591917e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235190</th>\n",
       "      <td>2021-04-29</td>\n",
       "      <td>189.10</td>\n",
       "      <td>190.80</td>\n",
       "      <td>191.65</td>\n",
       "      <td>186.00</td>\n",
       "      <td>186.60</td>\n",
       "      <td>186.55</td>\n",
       "      <td>187.44</td>\n",
       "      <td>9483009</td>\n",
       "      <td>60932</td>\n",
       "      <td>2744472</td>\n",
       "      <td>0.2894</td>\n",
       "      <td>1.777471e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235191</th>\n",
       "      <td>2021-04-30</td>\n",
       "      <td>186.55</td>\n",
       "      <td>185.30</td>\n",
       "      <td>190.95</td>\n",
       "      <td>183.65</td>\n",
       "      <td>185.00</td>\n",
       "      <td>185.60</td>\n",
       "      <td>187.53</td>\n",
       "      <td>11435285</td>\n",
       "      <td>62607</td>\n",
       "      <td>3323909</td>\n",
       "      <td>0.2907</td>\n",
       "      <td>2.144440e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>219115 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Date  Prev Close    Open     High     Low    Last   Close  \\\n",
       "0       2007-11-27      440.00  770.00  1050.00  770.00  959.00  962.90   \n",
       "1       2007-11-28      962.90  984.00   990.00  874.00  885.00  893.90   \n",
       "2       2007-11-29      893.90  909.00   914.75  841.00  887.00  884.20   \n",
       "3       2007-11-30      884.20  890.00   958.00  890.00  929.00  921.55   \n",
       "4       2007-12-03      921.55  939.75   995.00  922.00  980.00  969.30   \n",
       "...            ...         ...     ...      ...     ...     ...     ...   \n",
       "235187  2021-04-26      188.00  190.60   191.10  185.10  186.70  186.40   \n",
       "235188  2021-04-27      186.40  188.00   192.95  186.80  188.80  188.15   \n",
       "235189  2021-04-28      188.15  188.80   190.60  187.10  188.95  189.10   \n",
       "235190  2021-04-29      189.10  190.80   191.65  186.00  186.60  186.55   \n",
       "235191  2021-04-30      186.55  185.30   190.95  183.65  185.00  185.60   \n",
       "\n",
       "          VWAP    Volume  Trades  Deliverable Volume  %Deliverble  \\\n",
       "0       984.72  27294366   44068             9859619       0.3612   \n",
       "1       941.38   4581338   44068             1453278       0.3172   \n",
       "2       888.09   5124121   44068             1069678       0.2088   \n",
       "3       929.17   4609762   44068             1260913       0.2735   \n",
       "4       965.65   2977470   44068              816123       0.2741   \n",
       "...        ...       ...     ...                 ...          ...   \n",
       "235187  187.35   8542755   52374             2340188       0.2739   \n",
       "235188  189.41  14247767   73673             5425957       0.3808   \n",
       "235189  188.85   8429439   44056             2413974       0.2864   \n",
       "235190  187.44   9483009   60932             2744472       0.2894   \n",
       "235191  187.53  11435285   62607             3323909       0.2907   \n",
       "\n",
       "        Turnover_Billions  \n",
       "0            2.687719e+06  \n",
       "1            4.312765e+05  \n",
       "2            4.550658e+05  \n",
       "3            4.283257e+05  \n",
       "4            2.875200e+05  \n",
       "...                   ...  \n",
       "235187       1.600451e+05  \n",
       "235188       2.698636e+05  \n",
       "235189       1.591917e+05  \n",
       "235190       1.777471e+05  \n",
       "235191       2.144440e+05  \n",
       "\n",
       "[219115 rows x 13 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Prev Close</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>VWAP</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Trades</th>\n",
       "      <th>Deliverable Volume</th>\n",
       "      <th>%Deliverble</th>\n",
       "      <th>Turnover_Billions</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>219115.000000</td>\n",
       "      <td>219115.000000</td>\n",
       "      <td>219115.000000</td>\n",
       "      <td>219115.000000</td>\n",
       "      <td>219115.000000</td>\n",
       "      <td>219115.000000</td>\n",
       "      <td>219115.000000</td>\n",
       "      <td>2.191150e+05</td>\n",
       "      <td>2.191150e+05</td>\n",
       "      <td>2.191150e+05</td>\n",
       "      <td>219115.000000</td>\n",
       "      <td>2.191150e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1312.798810</td>\n",
       "      <td>1314.452039</td>\n",
       "      <td>1333.484986</td>\n",
       "      <td>1294.029456</td>\n",
       "      <td>1313.122336</td>\n",
       "      <td>1313.310053</td>\n",
       "      <td>1313.865487</td>\n",
       "      <td>3.210513e+06</td>\n",
       "      <td>5.389713e+04</td>\n",
       "      <td>1.315098e+06</td>\n",
       "      <td>0.502997</td>\n",
       "      <td>1.700621e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2646.206042</td>\n",
       "      <td>2650.221844</td>\n",
       "      <td>2684.981456</td>\n",
       "      <td>2611.243954</td>\n",
       "      <td>2646.366636</td>\n",
       "      <td>2647.141818</td>\n",
       "      <td>2647.652264</td>\n",
       "      <td>7.546782e+06</td>\n",
       "      <td>5.166038e+04</td>\n",
       "      <td>2.831670e+06</td>\n",
       "      <td>0.190019</td>\n",
       "      <td>3.387467e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>10.200000</td>\n",
       "      <td>10.350000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.150000</td>\n",
       "      <td>10.200000</td>\n",
       "      <td>10.250000</td>\n",
       "      <td>6.000000e+00</td>\n",
       "      <td>1.100000e+01</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>0.023600</td>\n",
       "      <td>2.790000e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>294.150000</td>\n",
       "      <td>294.850000</td>\n",
       "      <td>299.800000</td>\n",
       "      <td>289.425000</td>\n",
       "      <td>294.200000</td>\n",
       "      <td>294.350000</td>\n",
       "      <td>294.595000</td>\n",
       "      <td>2.835140e+05</td>\n",
       "      <td>3.955550e+04</td>\n",
       "      <td>1.253830e+05</td>\n",
       "      <td>0.364700</td>\n",
       "      <td>2.139437e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>594.000000</td>\n",
       "      <td>595.000000</td>\n",
       "      <td>605.800000</td>\n",
       "      <td>584.000000</td>\n",
       "      <td>594.500000</td>\n",
       "      <td>594.300000</td>\n",
       "      <td>594.960000</td>\n",
       "      <td>1.121892e+06</td>\n",
       "      <td>4.406800e+04</td>\n",
       "      <td>5.017560e+05</td>\n",
       "      <td>0.511000</td>\n",
       "      <td>7.607706e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1285.850000</td>\n",
       "      <td>1286.475000</td>\n",
       "      <td>1305.000000</td>\n",
       "      <td>1266.150000</td>\n",
       "      <td>1286.000000</td>\n",
       "      <td>1286.350000</td>\n",
       "      <td>1286.420000</td>\n",
       "      <td>3.215792e+06</td>\n",
       "      <td>4.887700e+04</td>\n",
       "      <td>1.452233e+06</td>\n",
       "      <td>0.638400</td>\n",
       "      <td>1.969533e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>32861.950000</td>\n",
       "      <td>33399.950000</td>\n",
       "      <td>33480.000000</td>\n",
       "      <td>32468.100000</td>\n",
       "      <td>32849.000000</td>\n",
       "      <td>32861.950000</td>\n",
       "      <td>32975.240000</td>\n",
       "      <td>4.810589e+08</td>\n",
       "      <td>1.643015e+06</td>\n",
       "      <td>2.325307e+08</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.564334e+07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Prev Close           Open           High            Low  \\\n",
       "count  219115.000000  219115.000000  219115.000000  219115.000000   \n",
       "mean     1312.798810    1314.452039    1333.484986    1294.029456   \n",
       "std      2646.206042    2650.221844    2684.981456    2611.243954   \n",
       "min         0.000000      10.200000      10.350000      10.000000   \n",
       "25%       294.150000     294.850000     299.800000     289.425000   \n",
       "50%       594.000000     595.000000     605.800000     584.000000   \n",
       "75%      1285.850000    1286.475000    1305.000000    1266.150000   \n",
       "max     32861.950000   33399.950000   33480.000000   32468.100000   \n",
       "\n",
       "                Last          Close           VWAP        Volume  \\\n",
       "count  219115.000000  219115.000000  219115.000000  2.191150e+05   \n",
       "mean     1313.122336    1313.310053    1313.865487  3.210513e+06   \n",
       "std      2646.366636    2647.141818    2647.652264  7.546782e+06   \n",
       "min        10.150000      10.200000      10.250000  6.000000e+00   \n",
       "25%       294.200000     294.350000     294.595000  2.835140e+05   \n",
       "50%       594.500000     594.300000     594.960000  1.121892e+06   \n",
       "75%      1286.000000    1286.350000    1286.420000  3.215792e+06   \n",
       "max     32849.000000   32861.950000   32975.240000  4.810589e+08   \n",
       "\n",
       "             Trades  Deliverable Volume    %Deliverble  Turnover_Billions  \n",
       "count  2.191150e+05        2.191150e+05  219115.000000       2.191150e+05  \n",
       "mean   5.389713e+04        1.315098e+06       0.502997       1.700621e+05  \n",
       "std    5.166038e+04        2.831670e+06       0.190019       3.387467e+05  \n",
       "min    1.100000e+01        5.000000e+00       0.023600       2.790000e-02  \n",
       "25%    3.955550e+04        1.253830e+05       0.364700       2.139437e+04  \n",
       "50%    4.406800e+04        5.017560e+05       0.511000       7.607706e+04  \n",
       "75%    4.887700e+04        1.452233e+06       0.638400       1.969533e+05  \n",
       "max    1.643015e+06        2.325307e+08       1.000000       3.564334e+07  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.histplot(df['Close'], bins=50, kde=True)\n",
    "plt.title('Distribution of Closing Prices')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['SMA_20'] = df['Close'].rolling(window=20).mean()\n",
    "df['SMA_50'] = df['Close'].rolling(window=50).mean()\n",
    "\n",
    "# Plot moving averages\n",
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(df['Close'], label=\"Closing Price\", color='blue')\n",
    "plt.plot(df['SMA_20'], label=\"20-Day SMA\", color='green')\n",
    "plt.plot(df['SMA_50'], label=\"50-Day SMA\", color='red')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Price')\n",
    "plt.title('Stock Price with Moving Averages')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.heatmap(df.corr(), annot=True, cmap='coolwarm')\n",
    "plt.title('Correlation Heatmap')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,5))\n",
    "sns.boxplot(df['Close'])\n",
    "plt.title('Box Plot of Closing Prices')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "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>Prev Close</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>VWAP</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Trades</th>\n",
       "      <th>Deliverable Volume</th>\n",
       "      <th>%Deliverble</th>\n",
       "      <th>Turnover_Billions</th>\n",
       "      <th>SMA_20</th>\n",
       "      <th>SMA_50</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-11-27</th>\n",
       "      <td>440.00</td>\n",
       "      <td>770.00</td>\n",
       "      <td>1050.00</td>\n",
       "      <td>770.00</td>\n",
       "      <td>959.00</td>\n",
       "      <td>962.90</td>\n",
       "      <td>984.72</td>\n",
       "      <td>27294366</td>\n",
       "      <td>44068</td>\n",
       "      <td>9859619</td>\n",
       "      <td>0.3612</td>\n",
       "      <td>2.687719e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-11-28</th>\n",
       "      <td>962.90</td>\n",
       "      <td>984.00</td>\n",
       "      <td>990.00</td>\n",
       "      <td>874.00</td>\n",
       "      <td>885.00</td>\n",
       "      <td>893.90</td>\n",
       "      <td>941.38</td>\n",
       "      <td>4581338</td>\n",
       "      <td>44068</td>\n",
       "      <td>1453278</td>\n",
       "      <td>0.3172</td>\n",
       "      <td>4.312765e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-11-29</th>\n",
       "      <td>893.90</td>\n",
       "      <td>909.00</td>\n",
       "      <td>914.75</td>\n",
       "      <td>841.00</td>\n",
       "      <td>887.00</td>\n",
       "      <td>884.20</td>\n",
       "      <td>888.09</td>\n",
       "      <td>5124121</td>\n",
       "      <td>44068</td>\n",
       "      <td>1069678</td>\n",
       "      <td>0.2088</td>\n",
       "      <td>4.550658e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-11-30</th>\n",
       "      <td>884.20</td>\n",
       "      <td>890.00</td>\n",
       "      <td>958.00</td>\n",
       "      <td>890.00</td>\n",
       "      <td>929.00</td>\n",
       "      <td>921.55</td>\n",
       "      <td>929.17</td>\n",
       "      <td>4609762</td>\n",
       "      <td>44068</td>\n",
       "      <td>1260913</td>\n",
       "      <td>0.2735</td>\n",
       "      <td>4.283257e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2007-12-03</th>\n",
       "      <td>921.55</td>\n",
       "      <td>939.75</td>\n",
       "      <td>995.00</td>\n",
       "      <td>922.00</td>\n",
       "      <td>980.00</td>\n",
       "      <td>969.30</td>\n",
       "      <td>965.65</td>\n",
       "      <td>2977470</td>\n",
       "      <td>44068</td>\n",
       "      <td>816123</td>\n",
       "      <td>0.2741</td>\n",
       "      <td>2.875200e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-26</th>\n",
       "      <td>188.00</td>\n",
       "      <td>190.60</td>\n",
       "      <td>191.10</td>\n",
       "      <td>185.10</td>\n",
       "      <td>186.70</td>\n",
       "      <td>186.40</td>\n",
       "      <td>187.35</td>\n",
       "      <td>8542755</td>\n",
       "      <td>52374</td>\n",
       "      <td>2340188</td>\n",
       "      <td>0.2739</td>\n",
       "      <td>1.600451e+05</td>\n",
       "      <td>196.5925</td>\n",
       "      <td>206.604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-27</th>\n",
       "      <td>186.40</td>\n",
       "      <td>188.00</td>\n",
       "      <td>192.95</td>\n",
       "      <td>186.80</td>\n",
       "      <td>188.80</td>\n",
       "      <td>188.15</td>\n",
       "      <td>189.41</td>\n",
       "      <td>14247767</td>\n",
       "      <td>73673</td>\n",
       "      <td>5425957</td>\n",
       "      <td>0.3808</td>\n",
       "      <td>2.698636e+05</td>\n",
       "      <td>195.7400</td>\n",
       "      <td>206.052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-28</th>\n",
       "      <td>188.15</td>\n",
       "      <td>188.80</td>\n",
       "      <td>190.60</td>\n",
       "      <td>187.10</td>\n",
       "      <td>188.95</td>\n",
       "      <td>189.10</td>\n",
       "      <td>188.85</td>\n",
       "      <td>8429439</td>\n",
       "      <td>44056</td>\n",
       "      <td>2413974</td>\n",
       "      <td>0.2864</td>\n",
       "      <td>1.591917e+05</td>\n",
       "      <td>195.3900</td>\n",
       "      <td>205.489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-29</th>\n",
       "      <td>189.10</td>\n",
       "      <td>190.80</td>\n",
       "      <td>191.65</td>\n",
       "      <td>186.00</td>\n",
       "      <td>186.60</td>\n",
       "      <td>186.55</td>\n",
       "      <td>187.44</td>\n",
       "      <td>9483009</td>\n",
       "      <td>60932</td>\n",
       "      <td>2744472</td>\n",
       "      <td>0.2894</td>\n",
       "      <td>1.777471e+05</td>\n",
       "      <td>194.7200</td>\n",
       "      <td>204.918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-04-30</th>\n",
       "      <td>186.55</td>\n",
       "      <td>185.30</td>\n",
       "      <td>190.95</td>\n",
       "      <td>183.65</td>\n",
       "      <td>185.00</td>\n",
       "      <td>185.60</td>\n",
       "      <td>187.53</td>\n",
       "      <td>11435285</td>\n",
       "      <td>62607</td>\n",
       "      <td>3323909</td>\n",
       "      <td>0.2907</td>\n",
       "      <td>2.144440e+05</td>\n",
       "      <td>193.9525</td>\n",
       "      <td>204.380</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>219115 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Prev Close    Open     High     Low    Last   Close    VWAP  \\\n",
       "Date                                                                      \n",
       "2007-11-27      440.00  770.00  1050.00  770.00  959.00  962.90  984.72   \n",
       "2007-11-28      962.90  984.00   990.00  874.00  885.00  893.90  941.38   \n",
       "2007-11-29      893.90  909.00   914.75  841.00  887.00  884.20  888.09   \n",
       "2007-11-30      884.20  890.00   958.00  890.00  929.00  921.55  929.17   \n",
       "2007-12-03      921.55  939.75   995.00  922.00  980.00  969.30  965.65   \n",
       "...                ...     ...      ...     ...     ...     ...     ...   \n",
       "2021-04-26      188.00  190.60   191.10  185.10  186.70  186.40  187.35   \n",
       "2021-04-27      186.40  188.00   192.95  186.80  188.80  188.15  189.41   \n",
       "2021-04-28      188.15  188.80   190.60  187.10  188.95  189.10  188.85   \n",
       "2021-04-29      189.10  190.80   191.65  186.00  186.60  186.55  187.44   \n",
       "2021-04-30      186.55  185.30   190.95  183.65  185.00  185.60  187.53   \n",
       "\n",
       "              Volume  Trades  Deliverable Volume  %Deliverble  \\\n",
       "Date                                                            \n",
       "2007-11-27  27294366   44068             9859619       0.3612   \n",
       "2007-11-28   4581338   44068             1453278       0.3172   \n",
       "2007-11-29   5124121   44068             1069678       0.2088   \n",
       "2007-11-30   4609762   44068             1260913       0.2735   \n",
       "2007-12-03   2977470   44068              816123       0.2741   \n",
       "...              ...     ...                 ...          ...   \n",
       "2021-04-26   8542755   52374             2340188       0.2739   \n",
       "2021-04-27  14247767   73673             5425957       0.3808   \n",
       "2021-04-28   8429439   44056             2413974       0.2864   \n",
       "2021-04-29   9483009   60932             2744472       0.2894   \n",
       "2021-04-30  11435285   62607             3323909       0.2907   \n",
       "\n",
       "            Turnover_Billions    SMA_20   SMA_50  \n",
       "Date                                              \n",
       "2007-11-27       2.687719e+06       NaN      NaN  \n",
       "2007-11-28       4.312765e+05       NaN      NaN  \n",
       "2007-11-29       4.550658e+05       NaN      NaN  \n",
       "2007-11-30       4.283257e+05       NaN      NaN  \n",
       "2007-12-03       2.875200e+05       NaN      NaN  \n",
       "...                       ...       ...      ...  \n",
       "2021-04-26       1.600451e+05  196.5925  206.604  \n",
       "2021-04-27       2.698636e+05  195.7400  206.052  \n",
       "2021-04-28       1.591917e+05  195.3900  205.489  \n",
       "2021-04-29       1.777471e+05  194.7200  204.918  \n",
       "2021-04-30       2.144440e+05  193.9525  204.380  \n",
       "\n",
       "[219115 rows x 14 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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D2lIS1LZASGURSw4tqAAAAGqUdEspSRo6dKiefvrpVNdSr27dumn27NkaNmyYgsGgHn30UR1yyCH64IMPtN9++9W4TTAYVDAYjF8vLCxMV7kAAKCF85imPD5TuT63wpatQMRWWcSS5TgKRKLXDUk+t0t+tymfy5RBCyoAAJq1bYGQTBnKz/JkupRmb4dCKdu29e2332rLli2ybTvhtoMPPjglhdVkwIABGjBgQPz6iBEj9N1332nmzJl66qmnatxmxowZuvHGGxutJgAAAEnyuEx5XBUBVVn5LH7RgMpSIGIRUAEA0MxF7OgfnSQpz3HzWb6Tkg6l3n//fZ166qlat25dtebohmHIsqyUFdcQv/nNb7R8+fJab7/mmmt06aWXxq8XFhaqZ8+e6SgNAAC0UrGAKs8nhazo+FNlEVt2lYAqy+1SFgEVAADNBp3yUyvpUOr888/XsGHD9Prrr6tbt24Z/wK1evVqdevWrdbbfT6ffD5fGisCAACo4HWZ8rpM5XodhW0nIaAqi1gqi1gyDCnLFW1B5SWgAqrhFQGgMdmOo+2BsPxul/weV6bLaVWSDqW++eYbvfTSS+rbt+9OH7y4uFjffvtt/PratWu1evVqtW/fXrvuuquuueYa/fjjj5o7d64k6d5771WfPn00aNAgBQIBPfroo/rnP/+pt956a6drAQAAaEyGYcjrMhICqlgXv8oBlWkY8Vn8vC6DgAoA0KyFLVu2ojPUNlVFoUh8Nt36Qik+lVMr6VDqgAMO0LfffpuSUGrVqlU69NBD49dj3eymTp2qOXPmaOPGjVq/fn389lAopMsuu0w//vijsrOzNXjwYC1ZsiRhHwAAAE1d5YAqz+soZJV367OqB1RZblNZbpe8JgEVAKD52VoWkiR1zvbJZTbNzzEmys0cw0lynuJ58+bpuuuu0xVXXKG9995bHk/iaPODBw9OaYGpVlhYqPz8fBUUFCgvLy/T5QAAgAz4tSykoGUr3+dRdhNqpu84jkKWrbKIrYBlJXxJjgVUfrdLHgIqtAK242hzSXQW7Y7ZXnnMptvKAkDtNhYHJEnts7zyuVP7Ot5UHIiP8dQtJ2uH97M9EFZZxGrQfiK2rZ9Lo0Fb1zY+Po9r0dDsJemWUhMmTJAknXnmmfFlhmHIcZyMDHQOAADQUhiGIZ/bJZ/bJcdxJwRUtuOoNGypNBxtQeUvb0FFQAUAAJqrpEOptWvXNkYdAAAAGdB02+tXDaiCVnQK6kAkGlCVhC2VhC25Knfxa8LjdQBonmKNDwCgMSQVSoXDYR122GFasGCBBg4c2Fg1AQAAoBLDMJTldimrUkBVFrEVjFiyagio/G6XPARUAHZSUSiiknBEHf0+uZvoWEAAmrekQimPx6NAINBYtQAAAKAeyQRUfrdLWW6TgArADikORSRFw6l2WZ561gaA5CX9DeWiiy7S7bffrkgk0hj1AAAAoIFiAVW7LI+6tPGpbZZHWW5ThiTLcVQcjmhrWUg/lwZVFIoobNuZLhnYIbTRAYCWKekxpT766CMtXbpUb731lvbee2+1adMm4fZXXnklZcUBAACgYYzyllF+t0u24ygYsVUWsRS0bEVsR8WhiIpDktuMBll+tyk3s5kBAIAMSjqUatu2bXwGPgAAADQ9pmHI73HJ74kGVLEB0msKqGJd/AioAABIjiNacu6spEOpJ554ojHqAAAAQCMwDUPZHpeyawmoikIRFYUkj1kxVhUDGqOpabrzZAJoffiMTKWkQykAAAA0T3UFVGHbUTgUUVEoIo9pxmfxcxFQAQCARpJ0KNWnTx8ZRu1fTr7//vudKggAAACNr3pAZaksYitk2QrbtsIhOx5Q+d2msgioAABAiiUdSl188cUJ18PhsD799FMtWrRIV1xxRarqAgAAQJpEAyq3sj2SZTsKWJYCVQKqwlBE3vIWVARUAAAgFZIOpf70pz/VuPyBBx7QqlWrdrogAACAxlZHo+9Wz2UaamO61SYWUEXKAyq7/BILqFzlAZWLgAoA0HrwiZdaKZtmZdy4cXr55ZdTtTsAAABkmMs01MbrVodsrzpn+5TndctTPktfyLJVGIxoS2lQv5SFVBqOyHYYjhqNgx+BANAypWyg85deeknt27dP1e4AAADQhMQCqjbeaAuqsvIWVGE72s0vZNkqCEbkc5nls/iZMmmSBgAA6tDgUOqmm27SZZddpoMOOihhoHPHcbRp0yb9/PPPevDBBxulSAAAADQdLtNQjtetHK8UiXfxsxS2HQUtW0HLVkFQBFQAAKBODQ6lbrzxRp1//vk6/vjjE0Ip0zTVqVMnHXLIIdpjjz0apUgAAIDGQGezneeOB1RuRWxbgYitsoilCAEVUojXaqbxCABoHA0OpZzyMQKmT5/eWLUAAACgGXObpnK8ZjygKovYCtQSUPndLvkIqAAAaNWSGlPK4EsDAAAAGsBtmsr1msr1uhUub0FVNaBSUNEZ/NwuZblMvmsCAJoVxxEzMeykpEKp/v371/tl4ddff92pggAAANCyeExTnlhAZVV08bMcpzyssmVI8pV37yOgAgCgdUgqlLrxxhuVn5/fWLUAAACghfO4THlcpnJ90YAqNotfNKCKDpgeC6j8blM+AioAAFqspEKpU045RZ07d26sWgAAANCKxAKqPJ8UsuzyUKp6QBUbIJ2AqvXiUQeAlqnBoRRfAAAAANBYvC5T3ioBVVnElu04KotYKotYMgwpy0VABSA1IratYMRWtsfF+wmQIUnPvgcAAAA0plhAlet1FLadeBe/mgIqvzu6Lj8oASTr59KQJMl2pFxfUp2IAKRIg195tm03Zh0AAABAAsMw5HUZ0RZUXkch24l38ascUJmGoSxXdBY/r8sgoGqB+PN4ZrX09gkhfusCGUMcDAAAgCbPMAz5XIZ8sYDKKg+orGhAVRqxVBoLqNzlAZVJQAUAQFNGKAUAAIBmxTAM+dyGfG5TeY6jkGWrLGIrYFnRgCpsqTRcEVD53S55CKgAoNWyyruC+90uuUw+C5oSQikAANAK8YW0pYgGVC753C45jltBy1agloDKH2tB5TIzXTYAII22B8IK2dFJNDpm+zJdDiohlAIAAECLYBiGstwuZVUNqCLRgKokbKkkbMlVuYsfARUAtHixccPCdgsfIK0ZIpQCAABAi1NTQFUWsRWMWLJqCKj8bpc8BFQAAKQVoRQAAABatKoBVaC8BVVNAZXf7VKW2ySgamLocAugKaLd1c4jlAIAAK0X3yZbHaM8ePInBFSWAhFbluOoOBxRcVhym7Egy5THJKACAKAxEEoBAACgVaocUNmOo2DEVlnEUtCyFbEdFYciKg5VBFR+tyk3AVVGkB8DSBXHcZiNtQkhlAIAAECrZxqG/B6X/J5oQBUbIL2mgCrWxY+ACgCan59LQ+rcJlUz8Dmig/HOIZQCAAAAKjENQ9kel7JrCaiKQhEVhSSPWTFWldvkRwkANAeWQ9vLpoRQCgAAAKhFXQFV2HYUDkVUFIrIY5rxWfxcBFQAADQIoRQAAADQAJUDKst2FLQslUVshSxbYdtWOGTHAyq/21QWARUANDuFwbDyfJ5Ml9FqEEoBAAAASXKZhrJNt7I9kmU7CliWAmFbIbsioCoMReQ1TWV5TGW5CKgAoDkoCVuEUmlEKAUAAADsBJdpqI3pVptYQBWxFIhEA6qQbSsUtFWoiLyuaAsqHwFV0ri3AKBlIpQCAAAAUsRlGmrjdauNtyKgKotEW0+FrOhFisjnMssHSTdlMjU5AKCVIpQCAAAAGkHlgCoSb0FlKWw7Clq2gpatgqAIqBqAubIAoGUilAIAAAAamds0lON1K8frVsS2FYjYKotYihBQAUCzRWC+8wilAAAAgDRym6ZyvGaDAiq/2yUfARUANBkEUalFKAUAAABkSOWAKlweUAWqBFSKBVQel7JcpgwCKgBAC0EoBQAAADQBHtOUx2sq1+tW2KpoQWU5FQGVIclX3r2PgAoAMiyJZlNlYUu246iNlximMu4NAAAAoInxuEx5XKZyfdUDqtiA6bGAyu825WuBAZVDHxkALcj2YFiS5HObcptmhqtpOgilAAAAgCasakBVFrEUiNitKqACgJbCJnBPQCgFAAAANBOxgCrPJ4Ws6PhTZRFbduWAypCyXNEufgRUAICmjFAKAAAAaIa8LlNel6lcr6Ow7cRbUNlO9P9llQIqvzu6LgEVAKApIZQCAAAAmjHDMOR1GfK6TOV5HYXsWKupxIDKNAxluUxluV3yugwCKgBAxhFKAQAAQIXBsCxHapflyXQp2AmGYcjnMuSLBVRWeUBlRQOq0oil0lhA5S4PqEwCKgBIF4aUSkQoBQAAAJWELUlS2HLJ42JWoJbAMAz53IZ8blN5jqOQZassYitgRaclLw1bKg1XBFR+t0seAiqg2YnYjizbkc/Ne3dDOY5T53tdfbcjdTL6rH333Xd17LHHqnv37jIMQ/Pnz693m2XLlmm//faTz+dT3759NWfOnEavEwAAoLXgL7gtUzSgcqltlkddsn1ql+WR3+2SYSgeUP1SFtKW0pAKg2GFLDvTJQNooJ9Lg/o1EOJ1mwF8Zu68jIZSJSUl2mefffTAAw80aP21a9fq6KOP1qGHHqrVq1fr4osv1tlnn60333yzkSsFAAAAWgbDMJRVU0ClaEBVEguoSoIEVEAzEua12jyQZCXIaPe9cePGady4cQ1ef/bs2erTp4/uvvtuSdLAgQO1fPlyzZw5U2PHjm2sMgEAAIAWKRZQZbldchy3guVd/IIRS1Z5QFUStuSq3MWP7p2tDr+hsaMch2cP6tasPlFWrlyp0aNHJywbO3asVq5cmaGKAAAAgJYhFlC1y/KoSxuf2mZ5lFXegioWUG0tb0FVFIzQKgNAs0VU1nQ0q4HON23apC5duiQs69KliwoLC1VWVia/319tm2AwqGAwGL9eWFjY6HUCAAAAzZlhGPK7XfKXt6AKWHZ0Fr+ILctxVByOqDgsuc1YSytTHrNZ/b0bAHbQzkZaRGKVtfhPjhkzZig/Pz9+6dmzZ6ZLAgAAAJqNWEDVLssbbUHl88hX3oUvYjsqDkW0tTSkn0uDKgpFFLFpQQWgeSM2Sp9mFUp17dpVmzdvTli2efNm5eXl1dhKSpKuueYaFRQUxC8bNmxIR6kAAABAi2Mahvwel9r7owFVfg0B1c/lAVUxARWQVgQpaI6aVfe94cOH64033khYtnjxYg0fPrzWbXw+n3w+X2OXBgAAALQqpmEo2+NStscl23EUiES7+AUtWxHbUVEooqKQ5DErBlN3m0amywYAOY4k3o6ahIy2lCouLtbq1au1evVqSdLatWu1evVqrV+/XlK0ldOUKVPi659//vn6/vvvdeWVV+o///mPHnzwQb3wwgu65JJLMlE+AAAAAFUEVDW1oAqXB1Q/lwa1tTSk4lBElk2bDgBNQ8R2VBax0nY83v0SZbSl1KpVq3TooYfGr1966aWSpKlTp2rOnDnauHFjPKCSpD59+uj111/XJZdcolmzZmmXXXbRo48+qrFjx6a9dgAAAADVVW9BZaksYitk2QrbtsIhW0WhiDymKb/bVJbbJRctqABkyM+lwfpXQqPJaCh1yCGHyHFqzwnnzJlT4zaffvppI1YFAABaOn7+1o6/4CKVogGVW9keybIdBazoDH6VA6rCUERe01QWARUAtDrNakwpAAAAAM2TyzTUxnSrTSygipQHVHb5JRZQuaIBldesNNIIaSmANNrZMadKw5YkR9keIpf6cA8BAIBWi9+5QGa4TENtvG618VYEVGWRaOupkBW9VMYQVABSKVVvKVX3E7FtbQ9EFC6fedTnovVnfQilAAAAAGRM1YCqrLwFVexHnST9GgjJ5zLLZ/EzZRr8yAOwMxpn+r1tgbAilVJ0p5GO05IQSgEAAKACLVKQQS7TUI7XrRyvFLJs/VIWit8WtGwFLVsFQRFQAWiSaNWZPEIpAAAAAE2Oq1LY1DbLE29FFbEdAioATQMh1E4jlAIAAADQpLkNQ36vSzletyK2rbKIrUAtAZXf7ZKPgCq1+OGNFoandNNBKAUAAACg2XCbpnK9pnK9boVtW4GIrbKwJcupCKgUlLLc5S2oXKYMAiqgxXGcHY+WtpaG1MHvlddl1nh7TXu2HYewuxEQSgEAAABoljymKU8soLLKA6pINKAKRKLXDUm+8u59BFRAyxC2bG2tNObcjtgeCKtzG1+D1i0MhlUSttQ+y1NlNr3kg7FtgbDaZ0Xfl0AoBQAAAKAF8LhMeVymcn3RgCo2i180oLIUiFjxgMrvNuUjoAKarZ0NpOqXOGteSdiSJBWFImqb5dnpvf8aCKtbDqGURCgFAACABIy0geYvFlDl+aKz+AVqCahiA6QTUAFoCD4hU49QCgAAAECL5XWZ8rpM5Xodhe1oKFUWsWU70dn8yiKWDEPKchFQAUitYMRW2HDk99AqqjaEUgAAAABaPMMw5HUZCQFVrItfTQGV3x0Nswio0FzQiidRUxiYvDAUkaRaB1QHoRQAAACAVqZyQJXndRSynXgXv8oBlWkYynJFZ/HzugwCKqCZiNi2fi4Nyecy1d7vTXr7hgZ8DV3P3omZAls6QikAAAAAKeM4TrMKbwzDkM9lyBcLqKzygMqKBlSlEUulsYDKbcrvdsljElABTVlp+cDkQcuudR1ioqaBUAoAAABASsRaJ/jdrpTMUJVuhmHI5zbkc5vKcxyFLFtlEVsBy4oGVGFLpeFoQOV3R1tQEVABLVAtiRUNnlKPUAoAAKCVc/iWjRQpDkVbJ5RFLLVV8wulKosGVC753C45jltBy1agUkBVErZUErbkKm9BFe3i1zLHjWkq7xCB8m6V+T5PxscKAlLBcRwVBCPyukxlt9LB0AmlAAAAENdUfnwCTYlhGMpyu5RVKaAqi9gKRixZNQRUfrdLnhYaUGXStkBYkmQqovxm2BIPrVdtn62BiB0fw45QCgAAAABQp2QCKr/bpSy3SUCVYhatO9FCMAA6oRQAAAAA7JCqAVXAshWIWApGbFmOo+JwRMVhVQRUHlMek4AKaGyGdq57J1FR+hBKAQAAAMBOMsqDJ7/bJdtxFCzvlhO0EgMqtxkNsvxuU24CKgCtHKEUAAAAAKSQaRjye1zye6oHVBHbUXEoouJQNKCKdfEjoALQGhFKAQAAAEAjqRpQBSLlXfzKA6qiUERFrTygsmxHJeGI2njccpnMqrfD6HNWoZGeRtzFqUcoBQAAAABpYBqGsj0uZdcTUHnMirGq3K0gpPk1EFLEdhS0bHXK9mW6HABpRCgFAAAAICVoRdBwNQVUZRFLIctW2HYUDkVUFIrIY5ryu01luV0tthVRxHYS/gXSwUnBO1ZD98Azu3aEUgAAAACQQZUDKst2FLQslUXs8oDKVjhkqzAUkdc0ldXCAyogFSq/OgoC4aS3J0RKH0IpAAAAAGgiXKahbNOtbE90rKVAxFIgYitkl18qB1QeU1kuAiqgLqURK6X726HAipSrVoRSAAAAANAEuUxDbbxutfFWBFRlkWjrqZBtKxS0VaiIvK6KLn6mQUCFlm1HWj4lrZYQKRVd/pCIUAoAAAAAmriqAVVZxFJRKCJJClnRrn4FwYh8LrN8kHSTgKqVaS2BSapbPqVS7a+41vHY7AhCKQAAAABoRlymkRA45XrdCkQshctnsAtatgqCSmFAxQ9qtEB1Pq15zqcLoRQAAAAANDOWU/GjOcfrVo7XrYhtx2fxizRaQAW0YmRVKUcoBQAAAAAtgNs0leM14wFVWcRWoJaAyu92yUdAhRbEsp34oP87+6xucPbUwBXJsmpHKAUAAIA4vjgDLYPbNJXrNZXrdStc3oKqakCloJRVPkB6lsuUQUCFZqwoFFHbLE+my0CSCKUAAAAApAixZlPkMU15YgGVVdHFz3Kc8rDKliHJV969j4AKzRHvPs0ToRQAAAAAtBIelymPy1SuLxpQlUUsBSJ2eUBlKRCx4gEVgCrIalOOUAoAAAAAWqFYQJXnk0KWXR5KVQRUMWE7et1HCyo0Fw14mtKyqmkglAIAAACAVs7rMuWtElCVhCuCqW2BsAxDynJFu/gRUAEEW6lAKAUAAAAgJRx+obUIsYCqcihlGoZsx1FZxFJZxIoHVH53dF0CKjQlaZt9DzuNUAoAAAAAUCu3aaij36uQ7cS7+FUOqEzDUJYrOouf12UQUCEuveFO042Smm5lmUcoBQAAAACok2EY8rkM+Vym8ryOQlZ5QGVFA6rSiKXSWEDlLg+oTAIqZErjPO+MevZL+JQ8QikAAAAAQIMZhiGf25DPbSrPcRSybJVFbAUsKxpQhS2VhisCKr/bJU8dAZUhfsyjebB3tI8yT/BaEUoBAAAAAHZINKByyed2yXHcClq2ArUEVP5YCyqXmemykaRgxJZhqPU8dnWFSCkMmMiqCKUAAABQGd+QAewgwzCU5XYpq2pAFYkGVCXh6Ix+rspd/FpLyJEBjuNoWyAs0zDUNsuzw/uxHUe/BkKSpG45Wakqr1Xho7V2hFIAAAAAgJSqKaAqi9gKRixZVQIqfrA3jojtKGjZkqS22vFQyrIb/ghZtiNH0cHxm7O6zjicxP2B+hFKAQAAAAAaTdWAKlDegioWUFVWFIwoy23KQwuqZmlLaVCS1KWNT2YLHeS+IBiudI2AamcRSgEAAAAA0sIwDPndLvkrBVTbAxU/8ovDERWHoy1tokGWKY9JQNUQ6YhHHMdp0IyKluNkNJRq6JEjtr1TxyGS2nmEUgAAAACAtIsFVIVGJD6rmc9lKmjZitiOikMRFYcqAqoYgoCmydnRmekyaFsgXO86dXZfbPApN7/7Jl0IpQAAAAAATUJ7v1e248QHSK8cUMWELFsR25abFlRp0ZLjlEgtgZPtONpSEpTf41LY2rnWVKgboRQAAAAAoMkwDUPZHpeyPa5qAVXMz6UhecyKsaqa+8DaLU1zfzSKykPQ4lCkzudWQwO7lhzs7SxCKQAAAMTxxRlAU1I5oNpYHEi4LWw7CociKgpF5DFNZblN+d0uuQioWr0m91nW5ApqOgilAABAq8PPlUR8VwbQnHhdptpleRSIWCqL2ApZtsK2rXDIjgdUfrepLAKquIYOUL5Tx2jUvadeOCwVFUjtOkg7etc0t3NuiuiECwAAWi2+TAJA8xRtQeVWB79XnbN9yvO55XVFf96GbVuFoYi2lAb1S2lIJaFI3YNVo0VwnOh4Y4XBsJx6PuHnv2SqV/ss7dUnSxec4UlThahJkwilHnjgAfXu3VtZWVk64IAD9OGHH9a67pw5c2QYRsIlKysrjdUCAAAAAFJlZ9vvuExDbSoHVF63vOWDoIcqB1RlIZWECahasuhjbKk4ZNW53u03VXQa+8fLLv304w4esIFPJZ5xtct4KPX888/r0ksv1V/+8hd98skn2meffTR27Fht2bKl1m3y8vK0cePG+GXdunVprBgAAAAA0BS5TENtvG51yK4IqDyxgMqyVRisCKjQMM0lUKlcp+3UXvWiBabWrU2MQl57xbWDx2wu907TlfFQ6p577tE555yjM844Q3vuuadmz56t7OxsPf7447VuYxiGunbtGr906dIljRUDAAAAQOrYjqNiupilXCyg6pjtVadsn3KrBFQxIctWadiqM8hA/TJ+9zXw+HMfqx5Afbiy9mgkkqbXZWEwnJbjNDUZDaVCoZA+/vhjjR49Or7MNE2NHj1aK1eurHW74uJi9erVSz179tTxxx+vL7/8stZ1g8GgCgsLEy4AAAAA0FRsD4RVFIro1wCtdxqL2zSUEw+ovMr1Js75VRAMa3NJUL+WhZpvQNVYJTeTu6KhrZb++59oDGIYFetv2bRjnUhTedeUhC0FI3V3O2yJMhpKbd26VZZlVWvp1KVLF23atKnGbQYMGKDHH39cr776qp5++mnZtq0RI0bof//7X43rz5gxQ/n5+fFLz549U34eAICGKyz/0vdzaVBbS0P6tSyk7YGwCoLRL+QloYjKwpYCEUshy1bEtmU7jpzm+OUQAFqZlvZObTuOIrZd/4o7KVjeaiddLTJaO7dpKqdKKOUun6UvaNkJAVVZcw2oMiwT91hDj/nT/6KP9YCBjtq1j25Vx+hBydVQy3OlobW1xrcAd/2rNC3Dhw/X8OHD49dHjBihgQMH6uGHH9bNN99cbf1rrrlGl156afx6YWEhwRQAZFBZJBoyRT90k/vkNQzJlCHTiM66YxiGTMX+H/3XNKLdvM1K6zb2FMgAgMaVqd9pm0uCkqSO2d54ty+0PF6XqQ5+ryK2rbKIrUDEUsR2FLTsaGAYlHwuU363Sz63KbPVfa/YgVdgBl60pox6Dzz7/yq67uW3lSRH2341tGGdKceJftdMilPn1WQ3b3HBfkNkNJTq2LGjXC6XNm/enLB88+bN6tq1a4P24fF4NGTIEH377bc13u7z+eTz+Xa6VgBAauX7PDKN6F+Eoi2hov/aiv6VKRZc2U5FY2zHkSw5spIMtAxVCqoMQ4YqAqyEIEuVwq7y2wAACFk2oVQjMurPEtLCbZrK9ZrK9boVtm0FIrbKwpYspyKgMoKSz20qy+1SlsvkD1+VZPoh9LpNhUJ1t2y86VpP/P9tchy5Kg0vdedf3bry+khSx9zZc7ZbY9OoKjIaSnm9Xg0dOlRLly7V+PHjJUm2bWvp0qWaNm1ag/ZhWZY+//xzHXXUUY1YKQAg1TymIY+rYV/wnfJgqnJQZTvl4ZWqXK8UZMWa2zuquC3Zrw/x0CqhhVb5ciWGXZVDL76kAgDQSNLwO95jmvLEAiorGlAVhyNyJAUi0euGJJ/bJb/blK8JBFTpGFLKUfSPfS3BoWNszbqjIhK5947kQ6kGI3uqVca771166aWaOnWqhg0bpt/85je69957VVJSojPOOEOSNGXKFPXo0UMzZsyQJN1000068MAD1bdvX23fvl133nmn1q1bp7PPPjuTpwEAaERGpdZNyagIsyq1vlJieFU1xIpdj6GrYcPZjqNAxFZWq+zagFRwHKdZvwbQcrX2Z2VrH1LJ4zLlcZkqDlcEFi7DkOU4CkSi42A2tYAqM1L/RNkWCMuyHXXwe+q/Txtw+Hbto931JOnM8yz9+ouhmbdVxCLJduFL9Rk7clrdZ2HGQ6mJEyfq559/1g033KBNmzZp33331aJFi+KDn69fv15mpaay27Zt0znnnKNNmzapXbt2Gjp0qN577z3tueeemToFAEATVRFmScn+pIgHV6qhFRZdDWtUEIwoELFUGjbUMZuu80hOUTCi4nBEHfxeeRvYihIAMiHL7VK7LI9CVnT8qZKwVd6CqiKgynK7lNWKA6pUhTWB8tnowrYjr2vn7sfCAsUDqaG/sWUY0pSzIgmhVGFBbKyp1GrozICFwYiKghF1aeNrNc+bjIdSkjRt2rRau+stW7Ys4frMmTM1c+bMNFQFAGgMsY/Xpv5HV8Mw5DIk1w6EWfV1NXRqaaUl7XxXw6ohVjq7Glb+4ggkK9YCoSgYUYdsb4arAapqHT8OkRyvyyyfMdGSaRjyu834hC5lEUtlEUuGIWW5oi2ovK00oEqX+oKfVR9U/MFj8JDo2FNdukrHTbD0j5ejg0sVFhjKb5vM95jy72872rqphk1irfx3MoNrNppEKAUAzVkwYqs0Yinf524SrVWQWTva1VCqOjbWjnU1lCQryX4W1YOslt/VEE0XkSaw4yzbib9vo/FUvneLQ9FA3XYc5fk8yvU6CtvRUCpQJaAyDaN8Fr/6A6rYH7FcZvN5LFPelS3J7zNBq+5Bzj96vyKUOnBkxbp+f8VxAmVJHTL+h8afS0M73ZKrtSKUAoCd9GsgJCn6BaVtlqfulYE6xMKftHQ1lBMfI8RRNMhKtqth5Zqr/gAqDkWadFdDAI2EVDFjHMfRltKgJKlrE+/6Uxax5DhStifaOqXpVpo8wzDkdRnyukzleR2FbEeBsKWAVT2gynKZyvK45DWNao/X5pLoY9mlja/a52bIsrU9EFauzy2/26UmI8Wv/8otrxuy60g9LbXX/VBxP+7er2Jdf3bFOmVJhlKS4uFjIFL78W0num+/P3G5RetyQikASJVkW6cAqZKproaqtG3Vr4tFobpnr6na1TCha6HSMKthS/oFBLRQfKomp7l8D3EcR9sDYUmSz2U2q5ZAyTIMQz5XtHVUnuMoZNkqi9gKWJZsx1FpxFJpLKBym/K7XfJUCajCliOfO/E+2hYIyy6/H/05jR9KZeqZ9UtZKKX7m/9ixX218UdDe+4VPbPKQdHs+9x64LFwUoOd18dxpMsuMTT3UZ+Om2Dr/kfDqdt5C0AoBQCKfkH6pSwkl2moXRZjmaB1SHVXw9iPDEnyu13VuhrGQrDY9tLOdTWMBld1dDWssi4aqnn8sAXQ/EU/FYzyS8t+7zEMQz63Sz63S47jrh5QhS2VhivGpqpQ/X5Jtltbi7CTp7z2u8TvARed5dHXG4IyDKlHz4qdz3/Rpb79bV16tZWysp54xKXHZ0ejl1eed+n2e8Nqk9Pg0ls8QikAULR5cOyCxmWUf+/knm7eaupquF0VoVRtXVmbRFdDGQrZ0bEkikOR+AyNdDUEAKRD1YAqaNkKRKIz+dmOo5JwRSBSGIoo3zASZiVtqt+hnFr+n2kL/2Hq7NMSv5cUFhjasjk60Hn/PRKrXbTA1eBQKmTZctXxXSEYlB68NzF22farCKUqIZQCACX25Nnh2TMA1CuVXQ0rh1hVuxo6qnkg+GbZ1bDVaUo/ZQCgulS+uxuGoSy3S1mVAqqy8oBKio6T9EtZSK5KXfzSbgfelrcHwuqU0plUG1ZEcZG0fbu0S8+KZa/Nd8lxqj9q7/7T1Emn2howMHGA9FAwucrKIrUHWG+9Yeqn/yUe+5ethnbZ1UloYV6V7ThJf1dqrgilAEBifJlM4HcnkpC6robRlld0NQQaR0t9a+dV2biSvX9b7POsUkC1sbgi6DAU/QwqCVsJraiSEesomS6246ggGFG+LzWRQ3HYkss05DbNWtdZtsTUeVM9Kio0dN3NYV14cfS+2rql5vUXL3TppFNtdeyUuPy//zG17VcpN09y11L+O/805fM6OvCgup+N771bvd7HZrv1f4+EVRaxah27qjV13iCUAgBVaSklvnymRyv6tEVG1dTVMOSxVRq2lON1K9db89chp0r3wdpaaTV2V0OjaiusSq20Knc1bCmts3hnAFqG7YGwwratjn5vi3hvSpDG02mb5VGWy1TAiraeCkbshPfJn0uTbNaTpKJQRMX1tCiujZ3CZCVk2fq5NKRuOVk13n73DJfuvrWii969d7h1wZ+ioc8vW2t+wP77n+hyw5AmnGLp5ecqWqEN6hU9ztRzIppxT+L5vzbP1HlToq3Ajj3B0sNza27xZNvR8Kqql/7u0v89Et2m9r93tZ5PQ0IpAKjCIZUCoMbralh5HK1kuxrWJ9muhoZigR0ApFasS1PAsuvvcsb7UO2c6Hu33+2Kt+zdXFIRREUqBT9lEUuuUHSg9LpaFCWjrkAqGLFUFLKU73PL4zIzFqMUF1Uft6m4yFBZmZSdXXso9d03hsJhyeORbr07nBBKxTz5N7euvTGinNzodceRbr+p4livzXOp+zWO/jKj+v30r2Wmfvg++jjsN8zWJ6sqHpONP0ndutd+Tq0nkiKUAoBqWtOHQCbEvhZwP6Ol2tmuhgmtsuRUC7Eao6thZQXBiIKWUx5ixQIsuhqileOp3qSEbbv+lVqIqu/mVT9b2vo82h6saKlTHIqoOCS5TUPuRv6rw6/lXeG3BcLq3MbXqMeqy2vzXCorrX6u236V/H7p118Sl5umI9s2ZFmGnn/KpdPOtJSbJ117U1i33FB9opZ/LTM17lhbjiP17+5TSXHisf72oEtTz7HUe7fER+uLzyrWm3J2RNk5Li1fFg2+1nxtqlv31vM8rguhFABUQ1OpxtXyp31uroLlM8g09pdY1M40ov3wdqR1Vk1dDWue7bB6V8OqAnUM2lpTzQ3pamhUDrdEoAWg+arv3ct2nLS9z/k9roRQyucyFbRsRWwnoRVVSciS3+Pa6c/4mnoUxP8Qkoavd3YNH1yLF1a0QNp7X1ufrzbLl7t0wkmWIpHEgmc+FNafzot2v3vmyWgoJUnn/9HSwEGOfv1F+uO5FYO0/+0Bt448JqSXnzOrBVKSZNuG7rnNHe+SF7P2u4p199jT0dHH2/FQauOPfAbGEEoBQBU70cAAaLbClq1fy0KSVOt4DWi6drarYWx2J0nymqay3GbauxrGRGxHJaFIrV0NCbOQLg5fCOJ2pvVlXUrClvJ9qelm1lRU7l6Xms/Tht/3frdLbbM8sh1HgYitolAk/n5dHI6oOByRp/w93u92yZXyP0I1/mumKJjYTS4SkT54L/ocapPj6M83RjTp+Gig9MVnhr77JjHyyPI7OnGSrXtus7VuranPVxsqLJDy8iWXSzrsiGjrpaPHB7R75+jj9/4KU5N/59HmjYn318sLg5owLtpC7PPV1e/L7dsqlnXq4qhb94r756cf6z7P1vTuQygFAFW0pg8BIKY1dYVAhVhXQ3el34RZHlNtPPV/RWzMroaFdYxhEguyElplJbTSqj4YPGFW4wlbtkKWrWyPi/u4kVjlrV1SHyAkx3GclD/GpWFL+T5Pi2qfbqVwcG9px76XmoahbI9LHtPQ1vI/OHhMU2Hbjl5C0cDKY5ryu01lpSCgKotYqileTKblbUOEqnxf2fSTtO3XaO0jfmur/x4Vt3+zxtRXXySeV25utGv64WNtPT7blG0b+vtcl877Q2Kdfn/iOFDLlrjUrn3FozF0f1sHjnTUuYujLZsNFRVVv/+KihKP232XSqHU/+q5v1vRDxJCKQCoohV9BmRES/riCbRIDXwTTHVXw4JK3U+y3K7EgKuGWQ3VGLMaqvIA8XQ1bIjYD15JalPLTJbYcY7jaEv57Gpd2/gy+ly0HclVx+Ejtq2w7dQ/qHkrkpIgL4m3ubpWbe/3yHGkgGUpEImGybGAqjAUibeS3dGAansgrLa+6uMxFQTrn7kvYke7G2btwHNnW6XWSN26O2rXvuK2j96vHpPl5EbvpRNPsfT47Oh71ocrzWqhlCSdfVFEF55R0Y0vFn7t2tvWa/+Mvvfl5pWHUoXVayuuFFRlt1FCS6mNP9V9H7em3yN8cgBAVTTXTwvuZaB1qq2rYSyUchmG2mVV/2GTzKyGTqVxtDI5q2FrCrPC8dYhLfPdvSk8kpYjuRtYSCZGx/y5tDygzFKdwVRzfYakugXUjgpbO96y2WUaamO61cYTPZ9ApDygsssvsYDKFQ2oXEm+h9k7+OjGnjsd/YY8ruS6c/7704r1O3d1lJUlZbdxVFpSc+2xWfT6D6yotXI3u8rGn2hr6ZtWtVn5+vWv2DYvP/pvcZFk21LlSQ+Li2LHdGSaUvsOUlaWo0DAqL+lVCtCKAUASvyC1DS+crRgfAajFQhZttymsUMz8KFmdc1qWF9rhIZ0Naw8XlaqZjWkq2HrFLJsBS1bOSnv0pjaqKkxuuNJ0dBkZ1pLNVZdyYjYdvw1GlNUR7fiBCkuveq7TuXWiTX5uTQot2nWGO5X5jINtfG61cZbEVCVRaKtp0Ll3XJ3utgkhW1HniSfOu++XZECHTYmWnNWllRaUvP6ueUtpfx+yedzFAwaKthe+/47dKh+UtffUvFcyM2L3u44hoqLKkIqqaKlVG55EGYY0i67Ovr2v4bWrTUUiUjuWhIZpxX9IiGUAoAqWs9HQIZxR6OFKgtb2h4My20a6pSduSmyW4uysKWCYFhtszy1dv1Iz6yGdDVsaXb0Yyo2aYAhKaeJdmmM2I5+Lg0qy22qXZa3/g1akbBta2t5y51sj0v55V3SKocERh3vJZVvSUeLtcotuEKWLdtxFLEtSXWHUpVVDajKyltQ1TTeZGnEUhuPq0F/dGlIkL+zEwr89+toHYbhaNDg6L723tfWO0tr/jxo30Hl60tt20mbNyV2AazKW8PHeP89KrWUyqtYXlQplPrl54ouep27Vqw/cJCjb/8rBYOGPl9taMiwWs6/FX1PbprvkgCQQfTeA1qRRni9l5UP6hppIl09WrrYVOjbAmF1y0ntWDY7O6thJroaVgRWdDXMtFS/B6Ryb6XhaEuPQIRJLqoKVbpPYgOxp1vloCbdnyQu01CO160cr7SxOFDt9uJQRMWhiHw1dLOrWmtDQqnicMVYThHbluOYDX4/mnm7S2u+jtYxaLAjT/lDdc1fIrWGUrvsWlFT23aONm8ytH1b7cfwZSWew177JL5mYmNUSVJRoaHYvfD+exX3z8iDK7Y5+FBbr82L1vbU4y4NGVZzC7zW9A2CUAoApNb1zp9hsa8Z3OUAMiVs2yoMRJTjdcvnTv109HV1NazPznY1dBzJkpOSroaxwKquroYxOzqi1I501bIdR8GILZ/bbPFdZJ1ar6CxpDKgdTIxuFcjMw0j+hqsoXufvQN/2S2p1C2yJGzJclRn18NY2Ltsiak7/1qx3oUXV+xn8BBH9z8a0rSzq7cCHDOuIgRr2y76b1mpoUAg2u2vqvz8xOs9dkk8x/y2Ff/fstnQHntGb1/7XeVBzh09NtulA0faGn+Spel/dquk2NCSRS5JDewW2oIRSgFAFTvbjBhA69bCfyO3CNsDYUVsR78GQuqWU8OvkDSzHUfbA2FluV3K9riaXVdDKTrt+y+lTkLroOJQpIauhhUDx28rfxw6ZXuTCgIKghEFIpZ8EVPt/XQ9a+oilpPUr85M5zgNmnguRQVG7OjQ4B4zMRzf0TCy8ndYy04MpyO2I6N8ZwkhspM4elHsLaC2w2a5TTlORavgykrC1ZdV9msgJJ/LTDhG1eMEIpa2lNQ/ZPq9dyQ+qY6fkBiS/X1u9ZZSvXeztf+BFXvOb1vx/4LtUlbX6sc54ihbN1xVcb1qS6lBe1dcf+nvLh18aPT6+h8qniR33VIRnn2+NqCBgxyt+sDQ1p9rD8NaeuBeGaEUAFRBJJU5tuMobNkyDEPeJGdfAZqO1vNFsrlqaj0ri0MRBcsHx85OdpTfcinvalhDiFVbV8OYUJXxZxo6MPSmkqB8LrNaV8PKe4vYjlyGI9OI/miVVGNLjcrn1NJ+1DWxp22DRZL8Y19DWxeVhCLKcrvkqpIi1dT1rXL4qirBjKT4wN6Oo2oDfBcEw/KYZkJXx9KwJVOVwtxyRcFIwjhMBcFwwvMwduTYJpWfw4Yktxnda7hyuBuOqLSGAChmS2mw2vlWXS5VjHW2s0rrCZ7qU9vrtrKGtPSs/Hbz2LMhFRZI/1xs6sCRtv7vTrdWvJv4Xpqb5+hvT4cTBhZv265yKGWoS9fqx921t6PRYy0teTO6v8qhliQddZytv1zlaNs2Qwvmm7rnwejg5as+qPl77N59EhOo2sKwFvb2VSdCKQBARpSFrWo/vkKWrW2B6Je/jtn89RtIl6bUQDQdpTS17/qZDMl2tqvh5pLoD1/TMJTnc2t7IBy/3e92JXQ1jLXgqul06/uhWhAM17j8l7JQta6GsTCsrc8TnwVzR8bNSsfrYnsg3LCWOTshFtJUPp3Kz7lYax0lBDc1t2AxTaNaKxqnyoKSsJVwXwcilgqDFS1wqgYO2wKhhMd/S2lQXtOsVEfND0RhKKLCUCRlwwLUFtpEQ5jEIMZ2HBXWELoWhxOXNSSAiXGkGgcWjx0vFWKv88pdfs3yQDs+fHv5HWqo5vq9LlOu8veNusKy2uT7PPHAxXEcFQSr348d/F4ZqnumweKiiv/37efo8OE+/fS/ml9M/1gS1K69HXXukri8Y6eK/3+00lT/PWo+n7/eFZFlS3vu5eigUYn3SXYbafhvbb3xD5cCZYZ+3GAou42j/3zVsD+uFtYShrUmhFIAUEXr/lhIn1D5lMM1t4jiUUDz1dQCD6CxVA6yvC5TfrdLxWYk3oWvbS3jwsRaX8VacvjdLnldZrWuhmHLrrfFRF3T1m+vIcgy4yFcRSBnxAeBr/x/I6HFTciyy3+yO9VDm4RMpuJ/ZRFL7pBRZb2KgChiOdVal0nSr5V+iFcOI34pC8ljVuyvclfJzSXBhHVjYWFD/FzasBY0NYUwtSmusm5d3bpqGmy9pvulNsl8YzAq/ceQkXCfucvTwYYOUJ/ljrZLrNyNrY3HpYhdMd5SltslT6XUMRb01BZWxcZS2lYp3PWYpvJ97vgOtlZ5vDr6vfHwpmKYbalbTpbClh2/rUsbX/w1WzlQNiR1rGWm2JoGOm/r88Rbp5UWJz6ubTyuervwFQbD8rld8rtNeWppFd+Q1vIF26M1dO3m6OpLPLUGUgvfCWqf/Wp+TI8+3tKD90bv2wfudWnyGTXXvmtvR8+8Uv39JBCQvF6pR8+K/d91q1tHHdvwsK6wsOblram/AKEUAFTBmFLpE6w1lEImxVqs5Xnd8u9gVyI0X63hHdCo/MutlaupFU3Vrk61tqKptFEgYqksYib8oC8NWwmtaGrbNmTZ8cekch2mYcRDKcOI/jiPTne/4w9eLISwqhZRj5KwVe+P7Zo0tAtjZXW1rgnXcu4705LGMOJtZKLXKy2vel97TbM80EncXjLi3SolKdvtSmhFk+NxxzdyHCfhvsz3uRNayxhGeWuahHqiB/21hpYznbK9qnwGsaw0scbEwMKyHZVFrPjj43WZ6lA+PlkwYunXQGIA4TIMuU0j/tjket3K8UZ/SpdVCmbyfB4VBsMKWrHzdlULXsyIVetjnOWOfeZWCqVcRq3hTdVzqxqmVlYUiijf51HQshWudPyagt/YUArJashrxFH0/SJQRyur7YFwrS3kYgoKov8GA9LK5TXfP2+tCGqvwbXvZ8gwR/sfaOuj90398L2p5592aeJp9Z9DJCJdf6VbT/6tepzy8nMu7TU48fFd9Z+Atv1qaMyI6uFfYUHNH0gtrftxXQilAEBVm6GjMVX+jC0OReR3u+J/nWRmvh0Ttm2Vhi3leNzVxtbYEdsC4ejAy8EwodQOaD1fI5svQzX/CKhrLJroskoBTtUuTE7lNWpvRVPTtpVbWhQGw7Ucu3z7assq78+ptm3sB6dpGPGAqLHeY7dX+SFfW5e7qizHqXecmprG+mmp8rzueCDgyFFheWDTxhNtURbNgAwVhyLx+6Sj36tI+YD5seuxH7U1hTRFoUg8QOjapvbB/qu2lGnjdVUKTqquW+kxrHSwLLdLub6Kn512lVAq2+NW0HLiIYXf5ZK/lmPUxG0m/8etX8pCtbbC25nXh+PUP/Nlsp8R9eeNld5hqgxsHq4SEpsyqnUxlKLfx5zylnyVW3rV5OfSYPn7SeOpaRD1ysJhqbQkek9u21b7PXr1nzx67h8h5eTWvq9Dx1j66P3oc+jN180GhVIL5ps1BlIx99+TeFv3HlL3Ho5efzuoow9NDKa++MzQoWOq7yNsO2otX8EIpQCgKhKRtApZttxmK/nUbSSxpvyW7aRkJqr6/jqJejSRVCps2XKbxk5Nbx77gVMWsRW2beV63TUPGFxrSxin2rLEPwJUT0hsx1FRKFI9IHKq7L/K/6TyMWES1qv8Y61ii8qtSjYVB5rUM35HWuM0xI60pImNL1NbKxqp7q5O0cHLo/e95TjxGcZi+40FUW7TiAcdlVvHWP/f3p2HR1Hn+x7/VPWWHQQCAYziAgOKbLIoCqgjJBfRy2UGwXEOyOBVx2FmHPTxDB4PoDJGPOKM4ODGOIzLUefM8cjjeo8GcUTgqKgDyiKgKCqbBBISsnR31f2j053upBOydLqyvF/Pw0O6+ldV3+rOt7vqm9/vV1HFizR3qMeJodhhed1SPOEgI+uG5wZK87iU7nEpXi+a2GOJnyMBy9bh6iGGmV63vC6zUXc1bMwkzQ0JD5Or3VOivHqYW2hCeFvBqNfeqDXJvat6Lq1EK/MH6y1KRWvJZNj1vXon4hRTmqul71F9iisDMTkRsGzJsCKfP+E/+tTneGWgzndweSAoqzy0NN6q0cMv7ZjldYdwxitISU3r0Wer9V6/xvjqS0MFd8UvY0z8X0G9+XrN7+dHH5paVuDWonvrP77/e3NQ998TGjZ5rIECV7Qvdjfc7sj3Nc8PHRHK2w82GfrfE+v2lCq4y6Pp1waV0zt2eRs5lUgKilJAJ3D0qPTmm1JZmeRqxLV/Y89hmnKuk+htJrpd0JaOV4VOlr2mofQGrutrb/NoRWg9t2kq01t/u5bG2FHel9IqU/6oP8Cle6TwH1D9wdD74DINdfG1/WNpjXbN2eaR8pq/EndPbd72KgKGTgTMSPvw+Wa87dW3zXhxtNXXu7TKUGXQUKpLSo8/lUbcbdYe6hR7Xh56UBaQ/MFQAF18VlS72EuNyESvUevHK9zUHtZUfy8ayTBCP0X3KPFEJgyuv9xoxdzuqmZS37qvY/y5ZxLzvkQ/GWzCNqMbNnChZNT7oNb2TrKJ6iKNYcTfSrjfZ03bWoWQOCuFeyUYhpTqNkNr1x4iFRNjVO/SWr1gIvs3QtsLF3AyPG55XDHRRfZZ+1gaKmTaChVDwsOJ4l34huPIrv4yPVZeJb8lZXjNmN6Xh8ssyQgN3/LFKXQELEtF5eHhUobSvKE2h8pqLjB7pseuZxjSoeoeFBleQ2mehoY91ftU9f6lonKjejiZIZ+74R454e0dqp6rJ8VtKs3jihStwncvDBUXQr1YTjYU0Yh+kyXF3pOw5rl9hj/m8TdGlVxRE7wbkkwZcpmhxycClsIfE+Wpdp2J4MM/HiyL3ZvbtFUW9b0Q/RrWbhvmc0mlKTVtg5b0fXnN88F06ViFIkPeUt1SWZzOWwfLYgsLkc/Q9Nh24Um8I5+Rhl3dCyhc4LZ1rM6vraVj3kBkaFmwztsSWVuSdNgIyKz+nIx9R2KLcd8bjestGCmoqr7iiRXb8GTb66DnT7YtTZ/i1Tdfx195wg+tmKKUJD22wq2sLrYu+aGl/j+wG9z3d99KZaUnj/GTDxvfO2/S5KBKiqUZV9Z/cTFiQOgXvncfW4WbKpXVpXP9jdywO9nkKSUlJerSpYuKi4uVlZXldDhAUlx6qbRundNRAAAAAAAa0q27rZdfszR2dPseSdDY2guzywKdQGXjb8ACAAAAAHBI0RFD/+/1zjOAj+F7QCeweLGUl1fzeOXK+ts2tu9kU/pYJnqbrdEuUD1RtBSa2yLNU/fjsb7tlVQPjXCZhtKr12sPx9xYzd1mvI64tqRyfzBmHgy3y5Q3fBtm21ZVoOY2ytHrSVJF1BwVKW6zzvwKdtQPtfded1hU7ITB0fMjVE8jG7O9mMeqmQunMS9P41/Dxp2AtMb719h+4s35fah9VLFd8UO35DaMmtc9XrvwNuMPl6o19qieGKNHwVQGLVlW6I5Kce8AGbXJ8LFE76IyaClg2UrzuCLztoTbVQaD8leP/Uj3uGQYhizLVsC25ame46m1c7oiUJNn6V53ve38llVn8mivadaZOLjMX3OHKk/Uc035XQzfIt5tGvLFGUse3odsxf0MDu3PrpkAunrf5f6gLIVf78Z9dlcGg5FhU0393G5K28a2i36/6jv25uzXtu3IhME+lylXnAmhm7rN8Lw+btOU12XWmecnenvhYwm3MY2auaPKouawqS82y7ZVETXeO9XjUlXQivkOCQ8HjN5vub9m+Gm8+Y8ae8zBqAmfvaYRN8Z42wu/5m7DkMdlRL5/ao/Us2w77t303IYR850V/f3kMhQztCz686mhw0r4+UE7PC9JdDvTMOLODxW9yDQMuYz675pYe/XQ52vd3wuXUXNeEqz1XPSQ+4S/L41r1rRtNrPdO4WJ6TVkGLYuviT2e+/dt2O3fdH4oIzqdC8pNrTl4/i57/OF7t4nSevfiR/f6WdY+urLmvX7nGrru29Ofr7Xs9dJm3QYFKXasYoKac+e+hP7ZAnfms87ue+TPd8Z951Sa1x+795St27Jiy0R27ZtW6X+oDyGoZRat6JIxL5DcxmFHrhNKcvX+PWLyuuuF2//teeiserc2CT2ttux5xx2rYKIZNdav3bRJbZYY8e0i163pn1UGzvO89H7smo/F1udafA9qbMkdv6FmnXjz6tQ83z8SVQT87vYuJPHpjwfvmAw4pRVDIULLrZqTxATXRiJN7eBodD8QeF9+1yuuHPM1MRWdy4a2TVFltoyva5aBaboyXFq1pcUc0vvrimeyM8NvS7+oKXSKqt6ncYXg1v6fLk/dLHpcxlKccc/OWxo28WVodc8xWXVmQunIiBVBkNFzyxv6H0LvzYpLlM+t6vVjiusrKpmrpran0vR61cEbFXVmjzFa9ry1XorSipDbVJcJ78bUP0F/NATLsNQmif+8+Hf88w4U29UBIKqDFhKcbtiComlVXbkwjDeevFiK/fXXCRmeu1GFQrD30X1zbfUkvcsNp7Ebbu0KqiusmXbhlLdoe+ppsZW+7nj1dOKeUxbKW7peAO9sTO8ofVLq9cxDTvy3oeXhbZvKdVt1Ll7aNCSTvjtmO2FPy/C62bEeb1Kq7/PDUmp7tjv3uhjsqu/OON9b4YnLQ/nkWHYchmx35OR7dT6js20a7ZdrwZf84bf8JNd07f1c7qGGyRu2+G53yKFI9uI3O3XX/ckLKrAZ9SZgS/+vuOfN8Vr0/jY657bnPx3qeECx0n3HfVz7eJmvHXN8Lx6qr/Y1tD6XtNUlWXV+3y89a0E3v/Btg19stlUdk9b5wwO/VFsxEhLH0XNE/Xe312aMjW00/Xr6h9cNmKUrS5dQz/3yLb1/eG670XvPtJXX9Y8HjLM0tDh0usvN/xl2rXryZKl42BOqXaqqEjq3t3pKAAAAAAAQCLdPM/SH1e079mWmFOqg3v7bacjAAAAAAAAiXbosNMRJA9FqXbq3HOdjgAAAAAAACRa+QmnI0geilLt1IYNTkcAAAAAAAAS7dWXO0+ppvMcaQezd6/TEQAAAAAAgETLzOw8U39TlGqn8vOdjgAAAAAAACTaBRdSlEIbN3Jk/OW//KU0fHhyYwEAAAAAAImRP6XzFKXcTgeA5vF44i9ft04KBpMaCgAAAAAASJAP3zecDiFp6CnVTn34YfzlW7dK27YlNxYAAAAAAJAYzz3TeUo1nedIOxi/3+kIAAAAAAAAmo/he+3UkCHxl6elSWecEfr5s89inxs8OPaxcZIegQ0937bWteW3bBmG5DYNGYq/gUTHZMuWbUsus+GVm7vfRL5OQctW0LblMqQN78XWosePj23rtyxJksdlSLZk2bZcpiHblixbcrnUqq9xZdT4U5/LFXnOsu1IbF7TlBG1wZa+xrZsVQWtmOe8LlNmAytXWQ2PkzUkmYYhW7Y8phmzfcOQTNOQx6x5Lz78UDp4sMFNAgAAAOgELp5gqbP0IaIo1U6lpcVffuJEzc+nnip9803N4+JiKSur5rEVew3eZHYT516zbVsyagoaTV2/oX0Hqo/FZaqecknD6zdn/0ErtBHTrL9Ik7h921ILXjfLDm1Bdt04o39HJClYvX2XIQWrd2ZWF4XC+zaNph1zWGNiD0bF6IrahWVLlm3WWd7SfVvVT9i1PvRr76P2+kG7cV8S330Tatcrx5TpqlkeKlrVPKYgBQAAAECSpvyfoChKoU3bsqX+52r3kArbt691Ymm81pqszWjFbTckmR8SLT2++l+jL76ovST6uIx6fm5N9b2urfn70/rrHTzQeSYrBAAAANB8xcecjiB5OkfprQNKT3c6AgAAAAAAkGjl5Z3nD9oUpdqprl2djgAAAAAAACTakcNOR5A8FKXaqY0bnY4AAAAAAAAk2tNPdp6ZlihKtVPLlzsdAQAAAAAAQPNRlGqnfvpTpyMAAAAAAABoPopS7dQLLzgdAQAAAAAAQPO1iaLUH//4R/Xr108pKSkaM2aM3n///Qbb/8d//IcGDhyolJQUnXfeeXrttdeSFGnbcfrpTkcAAAAAAADQfI4XpV544QXNnz9fixYt0kcffaShQ4cqLy9Phw4ditt+w4YNuuaaazR37lx9/PHHmjp1qqZOnapPP/00yZE76+uvnY4AAAAAAACg+Qzbtm0nAxgzZoxGjRqlhx9+WJJkWZZyc3P1y1/+Ur/97W/rtJ8xY4bKysr0yiuvRJZdcMEFGjZsmB599NGT7q+kpERdunRRcXGxsrKyEncgSWYYTkcAAAAAAABag7OVmpZrbO3F0Z5SVVVV2rx5sy6//PLIMtM0dfnll2vjxo1x19m4cWNMe0nKy8urt31H9frrTkcAAAAAAADQfI4Wpb7//nsFg0H16tUrZnmvXr104MCBuOscOHCgSe0rKytVUlIS868jyM+Xpk4POh0GAAAAAAA4Cbfbltdry+druAvUVT8KqrKynXeTagK30wG0toKCAt11111Oh9EqVj7p1x//5Ndbb5iafbXX6XAAAAAAAA4ZeI6ljEwpJdVWik/yB6SyUkOVlVLALxUXGzp0QAoEYueCyci0VX5CCgYbN0dMeoatAQNtZWTasm3JNAxlZtnq1j1USAkGpePHDX23z1BRkbT/O0MV5Y3b9g8GWQoEpD27Qv1nRo+xdc1MQ8OGST2ybfXsKZ1yiuRySSf8QVUELGX63HIZoTgMSUb1XDe2bcuWVBGw5HOZMqtDqAhYkhEaHuc2DZmG5DIMGYahoGVH2kmSZUumEdqmZds6WFYpScpJ90X2E1YeCEq2lOpxxT22E/6gvC5TbrP+vkGlVQGluE25zc4zX4+jRakePXrI5XLp4MGDMcsPHjyonJycuOvk5OQ0qf2CBQs0f/78yOOSkhLl5ua2MPK2oXdGiiRp1nRpVnUhNRCQPB4HgwIAAECrcrtDF2QZGaF/KSmSzydVVoYuBtPTQ/969JAyM6XU1NA64X+2LR0/HmpfURH637ZD20xLC63n9YbOKT2e0Drha6jwHCe2HZrj1OUK/W8YoXZeb2iZyxVax7JCbcP/23aonccTej68fcuSqqpC8Uuhx1LNfiWprCz0f0pK6Jh8vtD+unSRsrJC+zx4UDp0SPL7a2L0+WpiCAZDy8KxWFbN4+jjM4ya+Fyu0Dl2+PUzzZrjCwRqjjfcNry98PVqeL3wNqP/hbcTbht+nbKzQ8cUfm3D/+pT+/nwsYWPL9ymdpzR7YPBmn/Rc9nU93O8x+Fl4WOq71/4vW3s8aGxmjsQqqkvvtGMdRqr9jEY9fwsZXjdymigb4ZRXaRKq1Ukqq9oJEmuWsUgV9RD0zAi1+DxpLrr364kpXlOXn7J8Hb4fkN1OHrEXq9X559/vgoLCzV16lRJoYnOCwsLNW/evLjrXHjhhSosLNQtt9wSWfbmm2/qwgsvjNve5/PJ5/MlOvQ2K3yiAQAAAACNES4qujvf9TAAhzn+sTN//nzNnj1bI0eO1OjRo/WHP/xBZWVlmjNnjiRp1qxZ6tu3rwoKCiRJv/71rzVhwgQtW7ZMV1xxhZ5//nl9+OGHevzxx508DAAAAAAAADSB40WpGTNm6PDhw1q4cKEOHDigYcOG6Y033ohMZv7111/LjOq3O3bsWP37v/+77rzzTt1xxx3q37+/XnrpJQ0ePNipQwAAAAAAAEATGbbduQZ7lZSUqEuXLiouLlZWVpbT4QAAAAAAAHQoja29NHcmNAAAAAAAAKDZKEoBAAAAAAAg6ShKAQAAAAAAIOkoSgEAAAAAACDpKEoBAAAAAAAg6ShKAQAAAAAAIOkoSgEAAAAAACDpKEoBAAAAAAAg6ShKAQAAAAAAIOkoSgEAAAAAACDpKEoBAAAAAAAg6ShKAQAAAAAAIOkoSgEAAAAAACDpKEoBAAAAAAAg6ShKAQAAAAAAIOncTgeQbLZtS5JKSkocjgQAAAAAAKDjCddcwjWY+nS6otTx48clSbm5uQ5HAgAAAAAA0HEdP35cXbp0qfd5wz5Z2aqDsSxL3333nTIzM2UYhtPhoIMrKSlRbm6u9u3bp6ysLKfDAdotcgloOfIISAxyCWg58qjjs21bx48fV58+fWSa9c8c1el6SpmmqVNPPdXpMNDJZGVl8WELJAC5BLQceQQkBrkEtBx51LE11EMqjInOAQAAAAAAkHQUpQAAAAAAAJB0FKWAVuTz+bRo0SL5fD6nQwHaNXIJaDnyCEgMcgloOfIIYZ1uonMAAAAAAAA4j55SAAAAAAAASDqKUgAAAAAAAEg6ilIAAAAAAABIOopSAAAAAAAASDqKUoDDLMtyOgQAAAAkAOd1ANA0FKUAh3z//feSJNM0FQwGHY4GaJ/KyspUVVWlo0ePSuJiAADgnD179ujhhx/W4cOHnQ4FaNds227wMToWilKAAz7//HOdeeaZuuGGGyRJLpeLwhTQRNu2bdPVV1+tSy65RHl5edq0aZNMk681oKl2796te++9V7Nnz9aqVau0d+9ep0MC2p0tW7ZozJgx+uqrryJ/eOQPJUDT7dy5U4sWLdJ1112nVatWaceOHTIMg3zqwDh7Bxywbds2paamauvWrbrxxhslhQpTfNgCjbNt2zZdfPHFGjBggKZNm6Z+/fpp0aJFqqio4K9pQBN8+umnGjt2rP7xj39o165devzxx7V06VKVlZU5HRrQbuzfv1/Tpk3T7NmztWzZMg0aNEiSVFlZ6XBkQPuybds2jRkzRtu2bdOuXbu0atUqTZw4UYWFhTJNk3O8DoqiFOAAn8+nrl27aurUqdq4caNuuukmSaGhfKWlpQ5HB7RtFRUVuvPOOzVz5kz9/ve/12233ab8/HxlZ2fL5XLpyJEjTocItAv79u3TjBkzNHfuXL3wwgvasGGDrrvuOv33f/+3iouLnQ4PaDe2bNmiXr16admyZbIsS7/61a80ZcoUTZgwQU8//bQqKiqcDhFo84LBoAoKCjRlyhT97W9/03vvvadHH31UeXl5ysvL06uvvkqPqQ6KohTggPPOO0/nn3++rr/+es2ZM0cbN27Urbfeqp/97Gd69tln5ff7nQ4RaLOqqqq0Z88enXvuuZFle/bs0bvvvqtRo0Zp1KhRWr16tSTmIADqY9u23n77bQ0YMEA33XRT5CR/7ty5kkJ/rQbQOEeOHJHb7ZYkXXLJJdq1a5eGDh2qMWPGaPbs2brvvvsk8Z0ENMSyLO3bt0+5ubmRZcOGDVNBQYFuuOEG/fjHP2aqhg7K7XQAQGfUrVs3ffbZZ9q3b59uvPFGZWRkaMGCBSoqKtJvfvMbeTweBYNBuVwup0MF2pzMzEyde+65euyxx5STk6NNmzZp5cqVWrlypbKzs/WPf/xDc+fO1VlnnaVx48Y5HS7QJhmGoR49eig/P1+nn366pNAFs9/vV2VlpY4dO+ZsgEA70q1bN73//vt66qmnlJ2drUceeUQ9e/aUJI0ePVqzZ8/WxIkTddFFFzkcKdB2eTweDR48WO+8846OHj2qU045RZKUnZ2tBQsW6NChQ7rnnnv03HPPKSsry+FokUiUGYEk8/v98nq9ysnJUWlpqdLS0lRYWCi/36+zzz5bq1atkiQKUkA9DMPQ9ddfr0GDBumZZ57RSy+9pN///veaPXu2Jk+erFtvvVWDBg1SYWGh06ECbVL4xhqTJ0+OzGto27YMw1BGRoZycnLk9Xoj7Z966il9/vnnjsQKtFXRQ4gmTZqkqVOnavHixdq+fbvS09MVDAZlWZb+6Z/+ScOGDdP777/vYLRA+zB+/HhVVFToz3/+s44fPx5ZnpubqyuvvFKffPIJw8s7IHpKAa1o7969evPNN2WapnJzczVp0iR5PB5J0vDhw7V79249/vjj+vvf/66XX35ZW7du1X333Se3261ly5Y5HD3QNkTnUd++fZWfn6/LLrtMl112mY4cOaKLL75Yffv2lRS6sA4EAsrKylLv3r0djhxoW44dO6auXbvK5XIpEAhEhhtJoWJvWPRksv/yL/+iFStWaPPmzUmPF2iLwnlkmqYsy5JpmjJNU9OmTdPOnTu1fft27dmzR0OGDJEUKl5lZGREen0ACPnuu+/00UcfqaqqSqeddppGjhypq6++WuvWrdMTTzyh1NRUzZgxQ926dZMkjRo1SmlpaTHFKnQMFKWAVrJ161Zdeuml6t+/vw4fPqyDBw9q5syZWrx4sfr27auMjAz97Gc/U79+/fTKK69oxIgRGjJkiEzTVF5entPhA21CvDy6+uqrtWTJEvXu3Vvdu3fXoEGDtHbtWp1//vnq2rWrli5dqm+//VaTJk1yOnygzdi+fbuuuOIK/fSnP9Xdd98tt9sduaCOVlFRoSNHjsi2bS1dulQPPvig1q9fr/79+zsUOdB21M4j0zQjBd7p06ersrJSS5Ys0bhx4/TUU08pIyND69at05dffqkJEyY4HT7QZmzdulVTp05Vjx499MUXX6hfv3669dZbNXPmTK1cuVJz5szRI488os8//1zz5s1Tly5d9Je//EWmaapXr15Oh48EM2xm3AMSrrS0VJMmTdLIkSO1fPlyHThwQJ988omuvfZajRw5UqtXr1Z2drZ+9atfac6cORo1alRk6ES8iwSgM2ooj0aPHq2HH35YZ511ln73u99pzZo1+uqrrzR48GDt2LFDr7zyioYPH+70IQBtwr59+3TVVVeprKxMPp9P06dP18KFCyWpzneOZVmaMGGCjh49qi+//FLvvPOORo4c6VToQJvRUB5VVVVFhryuX79eq1at0n/+53/qtNNOk9vt1urVq/lOAqrt2bNHl1xyiX7yk5/ojjvu0O7du7VixQq5XC6tXLlSPp9PknT33Xfrrbfe0vr16zVixAh9++23eu2118ilDoiiFNAKKioqdNFFF+n222/XjBkzIss///xzXXTRRbrgggv08ssvOxgh0PadLI/Gjh2rNWvWSJJee+01ffrpp+rSpYsmTZqkM844w6mwgTbFtm3927/9m9555x3dcssteu+99/TCCy/ommuuiVxQR99YIxAIaMKECdq+fbvWrVsXGYIEdGaNyaPowpQk7d69W5mZmfJ4PJHhR0BnV1VVpQULFuibb77R008/HcmZJ598Urfffrt27typ7t27R9ofOXJEH3zwgTIzM3X66afr1FNPdSp0tCKG7wGtIBgM6uDBg9q5c2dkmd/v14ABA1RYWKixY8fqnnvu0b/+6786GCXQtjUmjxYvXqzFixdr8uTJmjx5soPRAm2TYRiaNWuWevXqpYkTJ2ro0KGSpOeee062bWvRokVyuVyRHlNut1vXX3+9xo0bp7PPPtvh6IG2oTF55PV6Y+ZqO+uss2LmagMQ6o176qmnatCgQfJ6vZGRImPHjlVGRob8fn+knWma6t69u/Lz8x2OGq2NMUJAK0hPT9f8+fP1xBNP6JVXXpEUus2p3+/XkCFDtGDBAr366qsqKioSnRWB+BqTR2+88YaOHDkSuQsS+QTUlZOTo9mzZ0uSevbsqRtvvFEzZszQ888/r7vuuktSaHLzF198UZI0Z84cClJALY3JI7fbrTVr1siyLApSQBwpKSmaOnWqrr/++pjlXbt2jZzjSaHvpI8//tiJEOEAekoBCbB//37t27dPR48e1eWXXy6Xy6Vp06Zp06ZNuv/+++X1emPuvNejRw+VlJQoJSWFkxagWnPzKDU1NTInDvkExM8lSZEL5d69e+uGG26QJD3//POybVvFxcV66KGH9M0336hPnz5Ohg+0CeQRkBjhXCoqKoqZYiF66HhxcbGOHj0aWWfhwoV6+OGHtWvXLnXr1o3zuw6OohTQQlu2bNFVV10ln8+ngwcPKicnR4sXL9aPfvQj3X777brrrrt05513qqioSDNnzpTf79cXX3yhnj17KhgMOh0+0CaQR0Bi1M6l3r17a+HChcrLy1O3bt0ivQr79OmjG2+8UbZt6+6771bXrl31wQcfcCENiDwCEuVkuRQevmcYhkzTVEZGhpYsWaIHHnhA7777bsz8Uui4mOgcaIHDhw9r/PjxmjZtmubOnauUlBTNnz9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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a figure showing turnover over time with smoothing\n",
    "plt.figure(figsize=(12,6))\n",
    "\n",
    "# Calculate rolling average for smoothing (30 day window)\n",
    "rolling_avg = df['Turnover_Billions'].rolling(window=30).mean()\n",
    "\n",
    "# Plot original turnover as light line\n",
    "plt.plot(df.index, df['Turnover_Billions'], color='lightblue', alpha=0.3, label='Original Turnover')\n",
    "\n",
    "# Plot smoothed turnover line\n",
    "plt.plot(df.index, rolling_avg, color='blue', linewidth=2, label='30-Day Moving Average')\n",
    "\n",
    "# Customize the plot\n",
    "plt.title('Smoothed Turnover Over Time')\n",
    "plt.xlabel('Date')\n",
    "plt.ylabel('Turnover (Billions)')\n",
    "\n",
    "# Add legend\n",
    "plt.legend(loc='upper left')\n",
    "\n",
    "# Rotate x-axis labels for better readability\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}