{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating and Backtesting EMA Strategies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use(\"seaborn\")\n",
    "import yfinance as yf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[*********************100%***********************]  1 of 1 completed\n"
     ]
    }
   ],
   "source": [
    "start1 = '2018-01-01'\n",
    "end1='2021-03-01'\n",
    "# looping over tickers and creating a dataframe with close prices\n",
    "stocks = yf.download('spy',start1,end1,interval='1d')\n",
    "stocks['price'] = stocks['Close']\n",
    "data =stocks.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining an EMA Crossover Strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [],
   "source": [
    "ema_s = 13\n",
    "ema_l = 21"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"EMA_\"] = data.price.ewm(span = ema_s, min_periods = ema_s).mean() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"EMA_L\"] = data.price.ewm(span = ema_l, min_periods = ema_l).mean() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>price</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-02</th>\n",
       "      <td>267.839996</td>\n",
       "      <td>268.809998</td>\n",
       "      <td>267.399994</td>\n",
       "      <td>268.769989</td>\n",
       "      <td>253.283142</td>\n",
       "      <td>86655700</td>\n",
       "      <td>268.769989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-03</th>\n",
       "      <td>268.959991</td>\n",
       "      <td>270.640015</td>\n",
       "      <td>268.959991</td>\n",
       "      <td>270.470001</td>\n",
       "      <td>254.885162</td>\n",
       "      <td>90070400</td>\n",
       "      <td>270.470001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-04</th>\n",
       "      <td>271.200012</td>\n",
       "      <td>272.160004</td>\n",
       "      <td>270.540009</td>\n",
       "      <td>271.609985</td>\n",
       "      <td>255.959488</td>\n",
       "      <td>80636400</td>\n",
       "      <td>271.609985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-05</th>\n",
       "      <td>272.510010</td>\n",
       "      <td>273.559998</td>\n",
       "      <td>271.950012</td>\n",
       "      <td>273.420013</td>\n",
       "      <td>257.665283</td>\n",
       "      <td>83524000</td>\n",
       "      <td>273.420013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08</th>\n",
       "      <td>273.309998</td>\n",
       "      <td>274.100006</td>\n",
       "      <td>272.980011</td>\n",
       "      <td>273.920013</td>\n",
       "      <td>258.136414</td>\n",
       "      <td>57319200</td>\n",
       "      <td>273.920013</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>387.059998</td>\n",
       "      <td>389.619995</td>\n",
       "      <td>386.739990</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>385.766510</td>\n",
       "      <td>67414200</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>388.352130</td>\n",
       "      <td>386.161472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
       "      <td>380.200012</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>386.234985</td>\n",
       "      <td>107284100</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>388.230397</td>\n",
       "      <td>386.283157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>386.329987</td>\n",
       "      <td>392.230011</td>\n",
       "      <td>385.269989</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>390.491028</td>\n",
       "      <td>72433900</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>388.736053</td>\n",
       "      <td>386.781960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>390.410004</td>\n",
       "      <td>391.880005</td>\n",
       "      <td>380.779999</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>381.081848</td>\n",
       "      <td>146670500</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>387.820901</td>\n",
       "      <td>386.377235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>384.350006</td>\n",
       "      <td>385.579987</td>\n",
       "      <td>378.230011</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>379.118286</td>\n",
       "      <td>152701600</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>386.755056</td>\n",
       "      <td>385.830212</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>794 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-01-02  267.839996  268.809998  267.399994  268.769989  253.283142   \n",
       "2018-01-03  268.959991  270.640015  268.959991  270.470001  254.885162   \n",
       "2018-01-04  271.200012  272.160004  270.540009  271.609985  255.959488   \n",
       "2018-01-05  272.510010  273.559998  271.950012  273.420013  257.665283   \n",
       "2018-01-08  273.309998  274.100006  272.980011  273.920013  258.136414   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  \n",
       "Date                                                       \n",
       "2018-01-02   86655700  268.769989         NaN         NaN  \n",
       "2018-01-03   90070400  270.470001         NaN         NaN  \n",
       "2018-01-04   80636400  271.609985         NaN         NaN  \n",
       "2018-01-05   83524000  273.420013         NaN         NaN  \n",
       "2018-01-08   57319200  273.920013         NaN         NaN  \n",
       "...               ...         ...         ...         ...  \n",
       "2021-02-22   67414200  387.029999  388.352130  386.161472  \n",
       "2021-02-23  107284100  387.500000  388.230397  386.283157  \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960  \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235  \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212  \n",
       "\n",
       "[794 rows x 9 columns]"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8+c93AgDa29vxq1/9FC0tzQgEArj00qswY8bMIZ+/0JAxTBAEQRAFQBf+t6MA0Mk7TBSMU089FRqX2qSnpxuzZ8+x7dPd3YUrrrgUN930F8yZMxdLlz5jk080NW3B5Zdfg6lTp+HGG6/HQw/9HRdeeEmhLsE3yBgmCIIgiAJgaoY9AuiIkcsxsw/3xWvrF/feey+SyZD5+dlnn8arr/7bts9HHy3DjBkzMWfOXADAoYcejhtv/L35/U477YypU6cBAObMmYvXXnulACX3HwqgIwiCIIgCwLy+slXmFIV9RxClQyAQcAR1KoplOgaDQW67MbsxHCFjmCAIgiAKAtMMp9+HIEqBXXfdDZs2bcTq1V8CAF599d/o6+tNGb4jB5JJEARBEEQBsGQSHgF0ZAsTJURtbR0uu+wqXHnlpVBVBfPm7YRAIICysvJiF81XyBgmCIIgiAJgySQ89ilISYjRzhtvvI8xY2rQ1tZrbjvssCNw2GFHAAAuuugyAEB/fx/effct3Hbb3SgvL8eqVSvx3//+B/X19bb9xd8PN8gYJgiCIIgC4OkZHsZ6S2LkUlVVjWAwhB/96BQEg0EEg0Fcfvm1JJMgCIIgCCJ7WOCcdNENcx+CKC3OOOMcnHHGOcUuRl6hADqCIAiCKADMCNYk31maYTKHCaLQkDFMEARBEAXASyYh7kMQROEgY5ggCIIgCoh00Q3KM0wQRYOMYYIgCIIoAJ6LboCsYYIoFmQMEwRBEEQB0DNYdINsYYIoPGQMEwRBEEQB0M3/PRbdIHOYKABbtzZhjz32KHYxSgYyhgmCIAiiAJjZJDw0wwRBFB7KM0wQBEEQBYTSp41O2h59GL3vv5fXc9TsvQ8ajz8x59/39fXhhhuuw5dfroKiKNhvv/1xxhk/xq233oTKykqcfvrZaG9vx1FHHYKbb74Ne+65N55//lm8+ebruPzya3y8ksJCnmGCIAiCKACmZljyHQugIzuZKCY33vh71NbW4b77/oE77/w7Vq/+Eg89dD8OOOCbePvt/wIA3nnnvxg7dizee+8dAMAbb/wHBxywsJjFHjLkGSYIgiCIAmDJJLw0w8RIpfH4E4fktS0Eb7/9X/zlL3dBURSEw2EsWnQsHn30IXzve6egra0VnZ0deOedt3DKKadh6dJn8MMfnoGPPvoQF154SbGLPiTIM0wQBEEQBcAMoJNZvGZmNTKHieKh6xoUTsCu6xoSiQRUVcX++y/AW2+9ic8+W4EjjzwaHR3teOWVl7DLLruisrKyiKUeOmQM54iu63h6QxtW9wwUuygEQRDEMMJrOWayhYli8pWvfBX//Ocj0HUdsVgMTz31BPbZZ18AwAEHfBMPPngftt9+NkKhEPbcc2/cdtuf8I1vDG+JBEAyiZzZOhDFW61deKu1C1fvM6fYxSEIgiBKHJZFQhZARzIJotAMDAzgW9/6mm3b7353I5YseRynnPJdxOMJ7LffV3HKKT8EAOy9975ob2/DUUcdBwDYd9+v4uWXX8T/+39fL3jZ/SYjY/j+++/HQw89BEVRMG3aNFx55ZUYO3asbZ9rr70Wzz33HOrq6gAAM2fOxI033uh7gUuFBEU5EARBEFngGUCXmpqmnoUoBJMmTcaqVavQ1tbr+G6PPfaS/iYUCuH5518zP3/724fi298+NG9lLCRpjeEVK1bg7rvvxpIlS1BTU4PrrrsON910Ey6//HLbfsuWLcMNN9yAPffcM2+FJQiCIIjhjmdqNbKGCaLgpNUM77LLLnj++edRU1ODaDSKlpYW1NfX2/aJxWL47LPPcOedd+KII47AT37yEzQ1NeWrzCUBOYYJgiCIbPBcdIPtU7DSEATByCiALhQK4aWXXsLXv/51vPfeezjmmGNs37e0tGC//fbDz372Mzz11FPYbbfdcM4554zoxOKyaS6CIAiCcMNzOWbKJkEQRUPRs7RYH3nkEfz1r3/Fiy++CFWV29K6rmOvvfbCkiVLMG3aNNdjJRJJBIOB7EpcIqzq6MX173wJALjjMJKGEARBEN78/ZON+M+mdswbW41f7jvX9t1vXvsUzf1R7DOpAWfsMbNIJSSI0UlazfCGDRvQ1taGvffeGwBw7LHH4tJLL0V3dzcaGhoAACtXrsTKlStx1FFHmb/TdR2hUMjz2Nu2FSctWWNjjVQ0ng1dXEq1oR6rkPhx7cMdugej+x6M5mtn0D0ozj2IDMYAANFownHuZNKYbxwcjKOtrRdxTcObzV3Yc1wtasP+J36iOkD3YLRdf2Njjet3aWUSbW1tOO+889DZ2QkAePrppzFnzhzTEAYAVVVx1VVXYdOmTQCABx98EPPmzcPEiROHWvaShSayCIIgiGwwNcPSb+3ZJNb1RvDClg4s6+gpQMkIYnSTdri5995746yzzsIpp5yCQCCA8ePH49Zbb8Unn3yCiy++GEuWLMHcuXNx8cUX4+yzz0YymcTEiRNxww03FKL8RYOMYYIgCCIbvFagU4TPyVSUXW88mdcyEQSRYZ7hk08+GSeffLJt27Rp07BkyRLz86JFi7Bo0SJ/S1fCjOTgQIIgCMJ/zDzDskU3hAA6tkc/GcMEkXdoBbocIVOYIAiCyAZmA8v6D0XYhxnM/Qkyhon8kEwm8fDD9+PFF59HMplEIhHH/vt/DT/60Vn4/e+vxsyZs3DyyYuLXcyCQMYwQRAEQRQQmWfYsU/qfzKGiXxx2WWXobW1Azfd9BdUV1cjEong8ssvxnXXXQFVHZ6ZvnKFjOEcIZUEQRAEkQ1eAXTicsxs3/54Iu/lIgrDf19eg7UrW/N6ju13GI/9F85Ku9/WrU14+umn8eSTS1FVVQ0AqKiowC9/eSE++WQ53nzzdXPf5cuX4dZbb0I0OohgMITTTz8b++23Pzo62nHllZeiu7sLAPDVry7A6aefDQB45pkn8fjjj0HXNdTW1uO88/4P2203w/fr9QsyhnOEEqMTBEEQ2WAZuhLNsLgPLJmEruumsUwQfrBq1eeYPXu2aQgzxo4dh29840DTGO7u7sLFF5+Pa6+9ATvvvAvWrl2Dn/zkDNxxx3144YWlmDx5Cv74x1sRiURw7bWXo6+vD19+uQpLl/4Lf/7znSgvL8e7776NX//6l3jggceKcakZQcZwjpBnmCAIgsgGK4DO+Z2lGU4F0KX2SepANKmhfJguUEVY7L9wVkZe20KgKCo0Lf1aup99tgJTp07FzjvvAgDYfvtZmD9/Nyxb9gH23fer+NWvfoqWlmbsvfdXcNZZP0F1dTXeeusNbN68CWed9UPzOL29vejp6UZtbV3ermkokDGcI2QLEwRBENmgC/97wZsp/YkkGcOErxhe3rUYGOhHZWWVub2trRW/+91VqKioBMAWg7HPSmiajkQigR133BmPPPIU3n//XXz44Xs4/fRTcf31NyOZ1HDwwYfhnHPOTe2vob29DTU1tQW7vmxJu+gGIYeMYYIgCCIbxEwRPFZqNbavtQ8F0RF+M25cI4444ghcffXl6O/vAwD09/fhD3+4FrW1dSgrKwMA7LLLrti4cT0++2wFAGDt2jVYvvxD7LHHXvjLX27BPffcia9//Rv46U9/iZkzt8e6dWuw775fxUsvPY/29nYAwJNP/hM//enZxbnQDCHPcI6QTIIgCILIBq9FN9z2BSjXMJEfLr30Ulx//Y0466wfIhAIIh6P4Wtf+wZOO+1M/O53VwEA6uvrccUV1+GPf/w9otFBKIqKX//6Ukyfvh1OOOEkXHXVZVi8+ASEQmHMnj0HBx74bYTDYXzve6fi5z8/B6qqorKyCldd9fuS1r2TMZwjFEBHEARBZEdKMyzpPxS2HLPEe9xHnmEiDwSDQZx22pk47bQzHd9ddNFl5t977rk37rjjXsc+Y8eOww03/El67GOPPQHHHnuCb2XNNySTyBEyhQmCIIhssAxd53eiz4w8wwRROMgYzhGSSRAEQRDZIKZNsyEsx8wbzKQZJoj8QsYwQRAEQRQAZt96eYbZdxRARxCFg4zhHCHNMEEQBJEVpqGbdheSSRBEASFjOEdIJkEQBEFkg+4RQMdIavZFNwDyDBNEviFjOEfIFiYIgiCywUsmwTZFNQ3bonEs3dxufkeeYYLIL2QM5wgZwwRBEEQ26BI9sPWl8V80qeHZTe22r/oTSflvCILwBTKGc4QaJoIgCCIbTM+wx3eDSc2WY1hVgISuIy5zJxPEEEkkEli06GD84hfnuu7zyisv4X//9wwAwJ133oalS5+R7tfW1oqrrroMp556Ik499SScfvqpeP31V83vFyzYG11dXf4V3kdo0Q2CIAiCKAiWQavpOlTJilzRpN1UDigKNJ1Cton88NprL2P27HlYteozrF+/DjNmzPTc/0c/Oku6fdu2bTjrrB/i9NPPxq9/fSkURcGXX36Bn//8xygvL8c+++yXj+L7BhnDOUINE0EQBJENvHNX12FbaYOZuzqApM0zrBjf0mzksGfblhcx0PVZXs9RWb8TGqZ8K+P9n3jiMRx00LcxZcoUPProQ/jVr34NwPAAv/DCUtTV1WHq1Onm/ldddRlmzpyFk09eLBznUey66+445JDvmNvmzJmLK6+8DjU1tY7z3nPPnXjppecRCAQwbdp0/Pzn/4exY8fhtddexr333gVFUaGqKn78459i9933RF9fH2666XqsWbMayWQCe+21D84556cIBv0xY0kmkSM0Y0UQBEHkiphRgrd1ee8w66SpyyH8ZvXq1fj000/wzW8ehEMPPRzPPfcvdHd34fXXX8Wrr76Me+55EH/5y93o7+9Le6yVKz/H/Pm7ObbvvvuemDVrtm3bv/71FN5++7+44477cO+9D2PmzFm46qrfAgBuvfUmnHfeBbjrrr/j9NPPxrJlHwAAbr75D5g3bwfcfff9uPvuB9Dd3YV//OOBId8DBnmGc4QmrQiCIIhs4HsNL0dvjDeGU1IK6nGGPw1TvpWV1zbfPPTQQ9h//wWoq6tHXV09Jk2agqeeegLt7W044IBvorKyCgDwne8ciUcffdjzWKqqQNdlangnb7/9Xxx22BGoqKgAABx//Em4775vIR6P48ADv42LLvolvvrVBdhnn31x8smnAAD++9838Pnnn+KZZ54CAESjg7lethQyhgmCIAiiAPBSB4dnmPs7yk09BpgxTNYw4SORSARLlixBMBjCcccdAQDo7+/HP//5CBYs+LqtrgYCgbTH23nn+fj00xU49tjv2rY/+eQ/MTgYwYknft/cpmlJKJxeXtc1JJNGxpQzz/wxDj98Ed577208++wzePjh+3HHHfdB0zRcccV1pqa5t7fXdoyhQjKJHKGGiSAIgsiGTD3DNpmEwn5LnQ7hHy+8sBT19fV48smleOyxp/HYY0/jkUeWIBIZwK677oFXXnkJvb290DQNzz33bNrjLVp0DJYt+wAvvLDUNKRXrvwcd931V4dMYt9998e//vUUIpEIAOCxx/6B3XffE6qq4rjjjsDg4CCOOuo4/OIX52PNmtWIxWL4ylf2wz/+8SB0XUcsFsMFF5yHf/7zH77dD/IM5wg1SwRBEEQ28P2GGHfCf4xpJJMg8suTTz6GH/zgBzavb01NDY477kQ88siD+M53jsSPfrQYNTW1mD17Drq6tnker7a2Drfc8lf8+c834777/gZVVVBeXoELLviNI5PE4YcvQmtrC04//VTouoYpU6bhkkuuQDAYxLnn/gK//e1FCAaDUBQVF1xwCcLhMH72s1/hppuuxymnfBeJRAJ7770vvve9U327H4pexBDVtrbeopy3sbFmyOd+s3kb/pVKjH71PnP8KFZB8OPahzt0D0b3PRjN186ge1Cce3DbZ5uwsd/QOl64+0zUhCx/1C0rNmBrJOb4TWN5CG2DcVyw20zUhv3zX1EdoHuQy/X/+te/wj777Iujjz4uT6XKH42NNa7fkUwiRzKTiRMEQRCEgZdMws0rRZ5holT43/89A2vXrsF+++1f7KL4DskkcoQ0wwRBEEQ26MKiG5lgLcxBnQ5RXP70p9uLXYS8QZ7hHKFgBoIgCCIbePtX7EFcPcOS3xIE4S9kDOcINUwEQRBENtgD6NxTq/GQTIIg8g8ZwzlCmmGCIAgiVxzGrYu1G1A8vyYIwgfIGM4RWieeIAiCyAbbohtcF7J1IIrBZNI0fHlMzzD1OQSRNyiALkeoWSIIgiCyQSaT6I7FccunGwEAlUEVAwn7vCPJJAgi/5BnOEcyjQQmCIIgCEAwhlP/d8cS5jYVCsKq3T2s+rfiLEEAAH7ykzPx97/f49j+0EP344ILzpP+5sMP38fixSfkuWTFg4zhHCFTmCAIgsgGe55hPfW/tU1RgLKAvVsOpDzD4op1BJErRx99PP71r6cc259++gkcc8zINXi9IJlEjpBjmCAIgsgGvt9wM27LAip640nzs2oG0FGnQ/jD17/+Ddx88x/w/vvvY7vt5gEAli37ALquY9y4RvzkJ2eip6cbgIITT/weDj30cNvvr7rqMsycOQsnn7zY8fm4447At751CD744D309vbge987BR9/vByrVq1EMBjEddfdgHHjGtHW1oobbvgdWlqakUwmcOCB38Ypp/yw0LfChIzhHKGGiSAIgsgGvt9gf/M9iQKgXPAMqyCdxEhh6aY2fNLZl9dzzB9TjUOnNXruEwwGccQRR+Gxxx7DL35xEQDgqaeewNFHH48LLjgPP/7xT3HAAQvR3t6G008/FdOmTc+qDLFYFLfffg/+/e8X8NvfXoy77rofc+bMxYUX/hLPPvs0Tjnlh7jiiktwwgknY8GCryMajeJXv/oppkyZhgMP/FbO1z4USCaRI2xUT80UQRAEkS2sD7G7VRSEVcEYNrNJFKRYxChh0aJj8NJLL2FgoB89Pd149923sMceeyEWi+GAAxYCAMaNa8QBByzEO++8ldWx2e+nTJmKMWPGYs6cuebnnp4eRCIRfPTRh7jzztvwP/9zMs488wdoaWnG6tVf+HuRWZCRZ/j+++/HQw89BEVRMG3aNFx55ZUYO3asbZ9XX30Vf/jDHxCLxTBv3jxcffXVqK6uzkuhSwHWLilkDRMEQRAZYJdJOK1bqWeY8gyPGA6d1pjWa1soxo1rxP7774+XXnoBg4MRfOMbB0JVVSiCUaPrGhKJhG2bsY9VI+PxuO37cDhs/h0MOs1MTUtC13XcdtvdKC8vBwB0dXXZfldo0nqGV6xYgbvvvhsPP/wwnnnmGcyYMQM33XSTbZ/Ozk5ceOGFuOWWW/D8889j2rRpuP766/NW6FKANWQK+YYJgiCIDNAlf9uMYo8AOjKGCb/53ve+hxdeWIqlS5/BMcecgO22m4FgMIjXXnsZANDe3oZXX30Z++yzr+139fX1WLnyc3Ofjz76MKvzVlVVY+ed5+Phh+8HAPT29uLss3+IN954zYeryo20xvAuu+yC559/HjU1NYhGo2hpaUF9fb1tnzfeeAPz58/HjBkzAAAnnXQSnn766RGdJNz0DBe1FARBEMRwgdcM37VqC9b1RpDk+kkFTmOYeYa3Re3eN4IYKvvuuy96erpRVVWNWbNmIxgM4uqrr8ejjz6MU089ET/72Tn4wQ9+hD333Nv2u2OP/S46Otpx0knH4Oqrf4u99trb5QzuXHrplfjssxU45ZTv4owzTsVBBx2Mb3/7UL8uLWsUPUOL9aWXXsJFF12EcDiMv//976bhCwC33347Nm/ejMsvvxwAkEgksPPOO+ODDz7wlEokEkkEg4GhXUGR+PsnG/GfTe0IqwpuPWSPYheHIAiCKHEueGUFOiIx83NFUMVpu83Anz5YCwAYWxHGvpMb8OyaFnOfb27XiFc2tAEArj9wPurKQoUtNEGMAjLOJnHQQQfhoIMOwiOPPILTTjsNL774ItSU0F/TNIfOBID5vRvbtg1kWVx/aGysQVtb75COERk0GjQdGPKxCokf1z7coXswuu/BaL52Bt2D4tyDZNK+upyuA51dVj+oJTUko3Z9ZmzQ8givaerCtOpyX8pCdYDuwWi7/sbGGtfv0sokNmzYgPfff9/8fOyxx6KpqQnd3d3mtkmTJqG1tdX83NLSgrq6OlRWVuZa5pKHskkQBEEQ2SDOwyoAkrZFNxRXmQRAKT0JIl+kNYbb2tpw3nnnobOzEwDw9NNPY86cOWhoaDD3WbBgAZYvX47169cDAB5++GEceOCB+SlxicAaJZlHnCAIgiBEZKZsUrCQA0Kfwgdpj+AwHIIoKmllEnvvvTfOOussnHLKKQgEAhg/fjxuvfVWfPLJJ7j44ouxZMkSjB07Ftdccw3OPfdcxONxTJ8+Hdddd10hyl80dPIMEwRBEFkgenYVxZ5NQoGVV5jfx/o9QRD5ICPN8Mknn4yTTz7Ztm3atGlYsmSJ+fmAAw7AAQcc4G/pShiSSRAEQRBDQ0FCcPeK07V8H0PGMEHkB1qBLkc0kkkQBEEQWaDJNMPcRkVJJ5Mgc5gg8gEZwznC2q8A2cIEQRBEDihwGsiq0KeQTIIg8g8ZwzlCK9ARBEEQ2SDTDIuLboiaYYIg8g8ZwzliBtBRu0UQBEFkgEzlYM8moTgD6NL8niDyyZ133oalS58pdjHyTsaLbhB2mGaYRhMEQRBEJoi2rJFn2O4Z5qV3CyePscWlUJ5hotD86EdnFbsIBYGM4RwxZRLkGiYIgiAywGkMK7ZFN6DYZRJfHV+Pd9usBa7IFB7ePPLyary3sjX9jkNgnx3G44SFs9Pu9+GH7+POO/+MsWPHY+PG9QiHy3DRRZfhgQfuRU9PN7Zs2YL991+Abds6MXPmLJx88mJ8+ukK3Hjj7zE4GEEoFMKPf/wz7LXXPli/fh1uuul6dHd3Q9M0HHfcd3H44Yvyep1+Q8ZwjrAGTAx2IAiCIAgpEtcw7xnWdbsxrCgkkyDyx4oVK3DLLX/FbrvtgSeffAxXXHEJtt9+FgYHo7j//kcAAFdddRkAIJFI4Ne//gXOP/832H//BVi58nNcffVluOuu+3HxxefjN7+5HPPm7YC+vj6cddYPMGPG9thll/lFvLrsIGM4RyjFDUEQBJENjgA6CMYwdJv0ToU9LkWjfmdYc8LC2Rl5bQvFDjvsgN122wMA8J3vLMINN/wOY8eOw6677ubYd82a1VDVAPbff0Hqtzvivvv+gXXr1qKpaTOuueZyc99oNIovv1xFxvBogKXDaR+M465Vm3HyrEmoCAaKWyiCIAiiZJFqhrncappuzzOsKPZ8RUmyhQkfCQQsm4U5+AIBFRUVldJ9RVno2rWroetAVVU17rnnQXN7Z2cHqqqq81Tq/EDxXzmicc3amp4I3uN0XQRBEAQh4nDsCssx67puk94psKfv1Eg1TPjIypUrsXr1lwCAp556HLvssiuqq2uk+06fvh0A4L333gYArFq1EueeezamT98OZWVleP75ZwEALS3NOOWU72LVqs8LcAX+QZ7hHBETpVMTRRAEQXghC6Djl2PWZJphkkkQeWLcuHG4/fY/o7m5CQ0NY/Cb31yOu+++XbpvOBzG1Vf/Hjfd9AfceuvNCIWCuOqq3yMUCuGaa/6Am266Hg8+eB8SiQR+9KOzsOuuuxf2YoYIGcM5IjZKFEdHEARBeOM0ZnnHigbdbgwLPYvohCGIoVBdXY3f/e6Ptm0XXXSZ6+cddtgJf/nLXY7jzJkzF3/6k9yIHi6QTCJHnI0SmcMEQRCEO6JjVwygMzzD3PdCNgnyDBNEfiBjOEdE7RalGyYIgiC8cMgkFNEY1u0BdLDnsifPMOEXe+65N555ZuSvLJcpZAzniNgokS1MEARBeKHD2VfYjGFAEkAH7nuyhgkiH5AxnCM0XUUQBEFkCktdpQqeX3tqNUEzrChCAF3ei0kQoxIyhnOEbGGC8WV3P67/eD22RePFLgpBECUK6zICNs+vfTlmTdeheswzkhOGIPIDGcM54tAMF6kcRPF5YPVWdEbjeKulq9hFIQiiRGE9Bu/5FZdjTup2Y9nYhdcMkzFMEPmAjOEcoZWACAZVBYIg0pJqKESZhGjgqkI0tkoyCYLIO2QM54gu5hmmdBKjHqoCBEG4oaes4YAQIJdwGMPux6AAOoLID7ToRo7QCJ1gWH0ZWcMEQcixNMPeC2mInmHFY1+CyJUFC/bG3LlzoWn27ddccz0A4Pjjj8Tuu+/pWEzjqqsuw9Klz+CZZ15CfX09ACCRSODYY7+D2bPn4Q9/uDnjMjzwwL148cXnoes6NC2JfffdH2ee+WOEQqEhXVsukDGcIzRCJwiCIDJFl8kkFAVJwRpxGMMKaYZHCo+vfgbLWj/J6zn2GD8fx8w+PKN97733XiSTTsNz69YmhMNl2LhxA5qbt2LixEkAgEgkgk8+We7Y/7XXXsbs2fOwatVnWL9+HWbMmJn23C+//BL+859X8de/3o2ysnJEo1H85jfn4+67b8eZZ/44o/L7CckkcoTyDBMiVAcIgkiHmEc4mcbAJc8wUQwCARULF34LL7yw1Nz22msvY8GCAxz7PvHEY/ja176OhQu/hUcffSij43d0tEPTkohGowCAsrIy/Pzn/4evfc15/EJAnuEcoRE6waCaQBBEOtxkEtkZw9TaDGeOmX14xl7bQnDqqafaZBKTJk02ZRIAcMgh38EVV/wGp5zyQwDA0qX/wk9/eh4efvh+c59169bi008/wVVX/Q7z5u2I//3fM3DGGeegrq7e89yHHno4/vvf13HkkQdj3rwdscsuu+JrXzsAu+++p6/XmClkDOeArusOA4iaKII8wwRBuGEF0AmLbqQzhrmGhbIYEX7iJpNg7LDDjlBVFStXfo6GhgYMDPRj++1n2/Z58snHsP/+C1BXV4+6unpMmjQFTz31BBYv/oHnuaurq/HHP96KLVs2Y9my97Fs2Qf41a9+hqOPPg7nnHOuL9eXDWQM54Am20Yj9lFM6tmTNUwQhAuWZtjapijZGbgUq0IUmoMPPgwvvPAs6usbcMghh9m+i0QieP75ZxEKhXHccUcAAPr7+/HPfz6Ck05ajGDQ3cR84IF7seuuu2P+/N0wZcpUHH74UVi+/CP88pc/KYoxTJrhHJAZvmQLj17YoydbmCAIN6SLbiATmQQF0BHF4+CDD8Mrr/wb//73i/jWtw6xfffCC0tRW1uHJ59cisceexqPPfY0HnlkCSKRAbz88kuexx0cHMRtt/0JPT3d5ra1a1dj7twd8nId6SDPcA7IghhoxD6KoUdPEESG8MZwJrYtbztTAB3hJ6JmGADOPPMczJixvfm5sXE8tttuBqqrq1FbW2fb98knH8N3v/s9BAIBc1tNTQ2OO+5EPPLIg/j2t+3GM8///M+PoKoqzjrrh0ZWlaSGHXfcCZdffo0/F5clZAznAHmGCR7LM0y+YYIg5LB+I6A4t4VUBXEXS5cC6Ih88MYb76OxsQZtbb3S71988XXz7xtv/LPjtwDwt789KP3t6aefjdNPP9vz/IFAAD/4wen4wQ9Oz6bYeYOM4RyQNUfkGSYIgiDSoXLmLdMLh1UVcS1pbv/fnaebf1NqNWI4snHjelxyya+l302fvl3RPMBukDGcAzKNFzVSoxdagI4giHTIUqsxJ0o4oKA/Ye07ubLM/JsW3SCGI9Onz8A998g9x6UIBdDlgFQzTI3UqIdsYYIg3JBlk9A4z7AbNs8wzUASRF4gYzgHdNIMEwRBEFkgyybBnCgZG8PUzxBEXiBjOAfk2SSI0U6peYYjiSSiSaqZBFEK6GYAncQYDni0HpKAO4Ig/IWM4RyQTVXJvMUEUUyuWLYWN3yyvtjFIAiCQ5WsKFfJpabygjzDBJEfKIAuB2QNEi2TSSgl5BrujSdS/yfT7EkQRCGQZiFKOVFqwkEcN3MCJlSEPX+YboEOgiByIyNjeMmSJbjrrrugKAoqKipw0UUXYf78+bZ9rr32Wjz33HOoqzOSMs+cORM33nij7wUuBaR5himwgSghoUTLQKzYRSAIgsPMRy4JoAsowJ7jatMeg0RPBJEf0hrDa9euxe9//3s8/vjjGD9+PF577TX85Cc/wauvvmrbb9myZbjhhhuw55575qusJYPMGKbpK6KUaB0kY5ggSgkmpbMtrwynjtjxO+5v0gwTfrFgwd6YO3euYwW6a665HgBw/PFHYvfd98Sf/nS77furrroMS5c+g2eeeQn19fUAgEQigWOP/Q5mz56HP/zh5ozOf9ddf0V3dxfOO+/8IV+LH6Q1hsPhMK688kqMHz8eALDLLrugvb0dsVgM4bAxpROLxfDZZ5/hzjvvxKZNmzBjxgxceOGFmDx5cn5LXyRko3PyDBOl4xcG4mILRxBEScC3E0z2oGaosSJjeHjT9ujD6H3/vbyeo2bvfdB4/IkZ7XvvvfcimQw5tm/d2oRwuAwbN25Ac/NWTJw4CQAQiUTwySfLHfu/9trLmD17Hlat+gzr16/DjBkzh3YRRSBtAN3UqVPxjW98A4Axsr3mmmuwcOFC0xAGgJaWFuy333742c9+hqeeegq77bYbzjnnnBEbVEaeYUJGKRnDpGEniNLCSyYRzNgY9rdMBOFGIKBi4cJv4YUXlprbXnvtZSxYcIBj3yeeeAxf+9rXsXDht/Doow8Vspi+kXEA3cDAAC644AI0NzfjzjvvtH03bdo03HHHHebn0047DX/+85+xefNmTJs2zfWYDQ2VCAYzi6L1m8bGmpx/2yVJgxMuCw7pmIVkuJQzn+TjHlRWlZXMva3YZq0371amUilrMRjN186ge1DYe5DoGwQAVJQ7g+Rqa8pdy1KTtIJg1YDqa5mpDhT2HjSeczqA0wt2vnSceuqpULkc11OnTsWtt96KaLQKiqLgpJOOx69+9Sv84hc/BQD8+9/P4de//jUefvh+jB1bhTFjarB69Wp8+uknuO22P2PTpk1YvHgxLrzw/9DQ0OB57qqqMsRi4ZKpgxkZw01NTTjrrLMwa9Ys3HfffSgvL7d9v3LlSqxcuRJHHXWUuU3XdYRCTvc7z7ZtA9mX2AcaG2vQ1tabfkcXOnuc5Y5E4kM6ZqEY6rWPBPJ1Dwb6oyVzb3v7o+bfsjKN5nowmq+dQfeg8PegM2Lo+AcH447vIh5tR3d3xPw7Fk/6VmaqA3QPZDKJtrZedHb2Q9d1TJiwHXQdeP31d9HQ0ICurh40NBiSiY6OfiSTIdx9973Yf/8FSCSCmDRpJiZOnIy//e3vWLz4B57n7u+PIhKJFfT+exneaY3hvr4+LF68GEcffTT+93//V7qPqqq46qqrsNdee2HatGl48MEHMW/ePEycODH3UpcwMjUmLZNJlFJqNZpOJYjSgsWVyJqJgOrVeFgvM/UzRKE5+ODD8MILz6K+vgGHHHKY7btIJILnn38WoVAYxx13BACgv78f//znIzjppMUIBodP9t60JX3ggQfQ1NSEF198ES+++KK5/fLLL8cll1yCJUuWYO7cubj44otx9tlnI5lMYuLEibjhhhvyWvBiQpphotShQBuCKC3YKykbNHtlk+ChfoYoNAcffBjOOON/UFtbh1tuuc323QsvLEVtbR0eeuhxBFILx/T29uK44w7Hyy+/hG9/+5BiFDkn0hrDZ555Js4880zpd0uWLDH/XrRoERYtWuRfyUoYmZ1B2SSIEnIMUz5SgigxvHoISq1GFINTTz3VkVrtzDPPwYwZ25ufGxvHY7vtZqC6uhq1tXW2fZ988jF897vfMw1hAKipqcFxx52IRx55MK0x/NRTT2Dp0mfMz7NmzcFtt909hCvKneHjwy4hyDNMlDp8HdV1HUopaTgIYhSjSIbNmXuGqaMh/OGNN9731Ey/+OLr5t833vhnx28B4G9/e1D629NPPxunn3625/lPO+1MnHaa3NFaDMgYzgFZ2ipqpIhSqgF8fdR0Y4UrgiCKh27mFHZ+l+n7SSkTieHCxo3rccklv5Z+N336drj88msKXCJvyBjOAZkkgtooopTgZyo06AiUlIiDIEYfJJMgRhPTp8/APffIPcelSNpFNwgnMkkEySSIUuqnRM8wQRDFxVx0Q/KdZzYJ28CWIIh8QMZwDsg1w2RxjHZKqaOyeYapbhJE0fHKJkHLMRNEcSFjOAfkeYYJonQ6qiRXliR1oARRMihQ8L3Zk2zbMpdJ5KlQBDHKIWM4B2Sjc50MjlFPKVUBu2e4eOUgCMKAjzXZsb7K9l2mAXTkGSaI/EDGcA5QajVCRilVAbtmuJRKRhCjE14mIdq+Xp7hyqDVTeug95kg8gEZwzkgM3xp0Q2ilGqAzRguYjkIgjDgA+jEvN9exvDs2kocMb0RDWVG8ieyhQnCf8gYzgHyDBMySkkqQwF0BFFaWMZwdotuKIqCr06ox7iyMAAjVSJBEP5CxnAOSAPoyOAgSgiNAugIoqRgg2Vm9/Lmr2dqtRRsF3K8EIT/kDGcA1LPcBHKQZQWpWRzUgAdQZQW3otupP89S79GjheC8B8yhnNA1haV0hQ5URxKqQZQAB1BlCbM7uWVEV4yCQYzhmmmhyD8h4zhHJA1RuR9I0qpCpBnmCBKC3HRDZtMIiNj2Pif3meC8B8yhnNAJomg9okopdkB8gwTRGnBMg5ZAXSWAZzJCnSB1P6UuYgg/IeM4RyQGT1kcBClBKVWI4jSgk+txv8PWF5fL8gzTBD5g4zhHJA1RtRAEaVUBZL83zRQI4iiI8okeFRJujXHPhRARxB5g4zhHJAux1xSphBRDEppQEQyCYIoTWQBdBmoJEzPcJJeZ4LwHTKGc0CeZ7jgxSBKjtKpBBRARxClhS4IJXi5REaaYcXorhM0uCUI3yFjOAfkK9BRAzXaKaUaQJ5hgigtTFNYsHsz8QoDQCjlGk5oFAVAEH5DxnAO0KIbhIxSMjlpOWaCKC1MzTDY/8ZfmeiFASCYMobjNNVDEL5DxnAOyNqiUkqrRRSHUqoCds9wEQtCEAQAIJby6Jqmb+qPTDJJALxnmF5ogvAbMoZzQJP4AKl9IkopiJKvo/2JJB5avRXNA9EiloggRjePrG0BACiKXTOciV4YAIIKeYYJIl+QMZwDUs9wCRlCBMHX0fV9EXyyrQ+fd/UXr0AEQdiQ5Rv2IqiyADoS5RGE35AxnAPyALoiFIQoKUpVJsGmVUk7TBDFgZfRicZvpp5hkkkQRP4gYzgH5J5h0g2Pdkrp6fN1lE2r0uIbBFEc+DeP2b5KlpphCqAjiPxBxnAOuHnYaPJq9MEPgEpJKmP3DGupbcUqDUGMbvh3TxH+ytozTINagvAdMoZzwK0pIs/w6IN/4qX0+PmisM6TZBIEURzsA2UhgC7DY1AAHUHkDzKGc8DVM0xtFFEC6Lq967VkEsUpD0GMdvgug8kiss4mwQLoaNENgvAdMoZzwM3oJVtj9FGKnmGxGBRARxDFxekXzl4zTAF0BJE/yBjOAVmeYYCMjVEJv9JbiQ6HTGO4RMtHECMdr75ByTbPcIn2MwlNx5fd/UiSsU4MQ8gYzgH2rotNGLUBo49SfOSsrwykKijrPCmbBEEUB3s2CbtmOJDhMUrdM/zvpg787YsmvNbcWeyiEETWkDGcA5quQ4HTECLP22iEyyZRIo+fKYYDCus8U9kkSGpIEEVB5hlWWCBdlprheIm+yBv6BgEAa3oiRS4JQWQPGcM5oOnyoIdSMYaIwqG7/F1MWDkCQvR5smRKSBCjC/7NMw3jEaYZDpntTWka6wThBRnDOaDpurQBI83w6KZUnr4lkzAqKSsX1U+CKA78q8fkSlZqtew0w6WaZ7jUjXWC8IKM4RzQIG/AaDw8+uD7pULnmX596za80uTU55meYWHERn0UQRQHfiAqvocjZQW6Ui8fQXgRLHYBhiNunmFadGP0UcwnvnRzOwDgm5PH2LaLmmEGBdARRHGQyiRSZKoZVhUFAUUpWc9ryMyDXJrlIwgvMvIML1myBEceeSQWLVqEE088EZ988oljn1dffRVHHHEEDj74YJx77rno6+vzvbClgptmmNqA0Y3b448kkljZ1VewwZKYTYJB9ZMgioNMJuH2nnoRVBXHohsDiSS2ReNDLeKQYTKJuE5zpMTwI60xvHbtWvz+97/HnXfeiSVLluDss8/GT37yE9s+nZ2duPDCC3HLLbfg+eefx7Rp03D99dfnrdDFxlUzXDKqUaJQ6Blkk3izpQv3fbkVLZFYgcpkECTPMEGUBHw7wQalbJuSoWYYMILUxDzDVy5bi99/vH7IZRwqIZJJEMOYtMZwOBzGlVdeifHjxwMAdtllF7S3tyMWszr2N954A/Pnz8eMGTMAACeddBKefvrpESsb0KBLNcMj9HIJL3jNsMtgKJY0PCX9iaRvp/UKhjM9Tg7NMFVQgigGmswznPqcqWYYYJ7h0nyPgySTIIYxaTXDU6dOxdSpUwEYmthrrrkGCxcuRDgcNvdpbm7GxIkTzc8TJ05EX18f+vv7UV1d7XrshoZKBIOZphz3l8bGmpx/qygqgkEAwsxUXX0lGusqh1awAjCUax8p+HUPBuIJ8+9QOCg9bnlbNwCgorrMt/NG4pZhLR6zLDVlWh4OAv1Rc7saVG37juZ6MJqvnUH3oHD3IN5r5d4trwgb503N3JSXhTIuR3kogP54Urr/uHHVGeuPGX5ef113PwDDyB9OdWs4lTUfjPbrZ2QcQDcwMIALLrgAzc3NuPPOO23faZomfQlV1dvxvG3bQKan95XGxhq0tfXm/PtEMmkGC/B0bOtHRcw/718+GOq1jwT8vAcRztsbjSakx+0fMAzStm0DaFP9Gfz1xCwjXDxnb8pA1xJ27V40ljT3Hc31YDRfO4PuQWHvQceANSjt64+ira0XyZT2NxGXtxsyFB2IJTTp/i1tvY6gWS/8vv4oJwMbLnVrtL8Ho+36vQz/jALompqacOKJJyIQCOC+++5DbW2t7ftJkyahtbXV/NzS0oK6ujpUVpa+lzQXkro5qLdBs9Cjj0weOdvHz2T0MY9jiXmGGSSTIIjiwL95YgBdpnmGAaYZlr/7I1WWSBCFIK0x3NfXh8WLF+Pb3/42/vjHP6K8vNyxz4IFC7B8+XKsX78eAPDwww/jwAMP9L2wpYIO3ZZNgmm+yNgY3bhphpmELuajlo7pkOXlMHCmVvPt9ARBZAFvqIqa4WyUDUFVgaYDm1JLH+se+YsLDXV/xHAmrTH8wAMPoKmpCS+++CIWLVpk/lu+fDkWLVoEABg7diyuueYanHvuuTj00EPxxRdf4Pzzz8974YuFpgP8ZDcb2VNCmdGHbdENt31S3/jrGeY7QfuZWQcZEN5uGqwRRHHg3/yGcMjYxt7TLKxhlrHhL59vwscdvbbV6IqfzajY5yeI3EmrGT7zzDNx5plnSr9bsmSJ+fcBBxyAAw44wL+SlTCarts00qoCQCdjYzSSSWo1tj3mo2uWl0noOsDPtLp5hql+EkRxYK9emariqxPqjG2p77L1DDNWdvVjNhewXezXm1oXYjhDyzHngLHohvWZSSaK3RgRxcXdM2zgpfPNFl4mIXqE3I1h305PEEQWsEHzfuPrzBRkuWiGg4rVZfcnkvZ2oNjGMLUvxDCGjOEc0ByaYcXcTowudJe/bfukeglfjWGbTEJ+PlWxp/OnRTcIojiwd1SxzeCw9zTz44S4nfsSSXs7QP0PQeQMGcM5oOn2G8eW0yRbY3TjFs1tZpPIk0zCoRlO/a/Avmw4dZYEURwsSYT1Ppqe4Sx0ErxMoj+esLUDf1u1pahSKJtjgDpDYphBxnCWaJzXjUGe4dFLJgF0VjYJP2USnFbZZR9FsXudKJsEQRQHs9/gt6X+z2o5Zu6FHkhoNplEcySGAR9XucwWWfo4ghgukDGcJZpkNK+SZ3jUort+4DczmUR+PMNix2NOyULwDFMFJYii4BUsF8gmgI7TDCd13dGmFFM3zHuDaUlmYrhBxnCWWJ5haxsLVCrEaPjjjl5s6R/M+3mITEnvodXz4hkWsknYSmRsUKDYPVFkDBNEUTB1/BIvcDZLKPOeYR3OdI2l4pFNlEg5CCJTyBjOEvaK840a+zvf739S0/HI2ma8uKUjvyciMsYuk3BZdCP1f9xjoYxs8c4zbPyvKPaMEkmdtHwEUQx88wwL0XaiB7aYxjB/ZvIME8MNMoazROYZNleg81kzLBoucV2DBmpoShX3PMP+yyR4j5BoYrsF0PHfEQRROCzpktPyLQ8EHNvcEI1hcbYpXsS+wWYM06CbGGaQMZwlbOStSALo/Hz/WyMxXLlsLb7o7je3MSOYmpnSIaPUaqn//ZRJRG0yCZdsEoriSNtUKtOoBDGa0M1+w/ldRTDzbjgkHKA/YW9Tiuoo4U5NDhtiuEHGcJaYMgmpZ9g/WiMxRJIamvqj5jbWwJD2szRxTa1maob99AxbxxKzRJgdL5yeYeqjCKLwWPI6J2XiuukesAU7GP1xe/aIYnpkeZkYGcPEcIOM4Swx15PnpruYLtNPI1UzMxBYJjZr6KiZKR3s6YTc9jG+iCc13zS7UX45ZpcaYRjD9m00kCKIwqNJZhQZ5VkYwyFV9AwnbJ8TPs4+ZQvJJIjhDBnDWSJbScjMM+zj+69JdKbMG6jrwNaBKFojMf9OSOQG98zdJAjsEWoe+2RL3GMZViuATnF4hkkmQRCFh9fxi2RjDIuaYTGvcFGNUJJJEMMYMoazRLbohrkCnY8+W3OhBs7osTTDOh5cvRX/WNvs2/mI3OCfuZuhyW/1SyrhmU0i9b8CQAzNoT5q5PB+Wzfea+sudjGIDLDy0zu/yyqATtQMizKJkgmgK56HmiByIVjsAgw3ZI1afj3DEpmEbgRQkZevtJA9j5Vd/VjdM2B+jiU1VAYz7/zcsC/HbP/OyjPs1AxTnRk5vNzUCQDYp7GuyCUh0sHn/hbJTiYhaIZFz3CpGMM06iaGGeQZzhKm5bWtQGfmGfZuAP76+SY8kqE3l+lP+UAppgfTU//IsCk+6TTD933ZZPvsl2eYf/bijASfZ9gZQEd1ZqQQ13Ty9A8TdIkThTE0mYSQTaKo7zfXV1E7QwwzyBjOEtMzzG0zs0mkef839A3io47eDM8j8QybmmGdjOESJJPnIa4YlSv8qUQjnJ1BgSy1mi+nJ0qAhK77Ks0i8of5TnKD030aa1EXCjqC4rwQ9xWNzqLmGSbNMDGMIZlElsg0w6ZMwlfNcMoY5qyXOJdNQtfJK1QK8B1AJl5XvzzD/FEceYa5nKbkGR65JDUdWhZL+RLFg093yDh6xoSsjyNqhkVKRiZB7QwxzCDPcJZYmmHeGDb+9/P9NwPoJJ5h9h15houPTSaRQUeUD8+w2xEVOJd6JWN4ZKDrOnmGhxFmnuEhjl1EmYRIqQSukWeYGG6QMZwlfHASI5APz7AszzCXTYLJJPzKW0sMHQ3pjU0+O8hQ4I0g12wSUs+wL6cnigybMKLnOTzwWo45G8QAOpGS8QxTxcyatT0DuHvVFtvqokThIGM4S2SBEPnIJsE6O14mkbDJJIz/6bUpLqJnLq0xnBeZhPCd+VkxgzsZNJswMmAeQHqawwPTiZJvz3CpaIapncmaVd1G5qGWSDT9zoTvkDGcJTLj0wqgc28AsvXgsmPFbZ7hVAeoW41rJlPzRP4QH2u6ALVYPmQSDs9wStcOyQp0vpydKDZ8MC1R+phOlCEeJ6Ao+NrEBuxUXyX9Pl7E+kDLMQ8N1nfQK10cyBjOEUUSQOdVibOt35YxbEkhWKSwxjU75OkrLdI9j7hP6RxsMgnHdwYymQTVl5FBkpslIkofr+WYs+XQaeOwx7ha6XelYoSSZzh7NHqniwoZw1kiiwq2NMPuZNtGsf11WEYwv+gGg4yb4iLe/XTPoyCeYVOfKPEMU30ZEYjBtERpYwbQ+XQ8N7UEaYaHLzTALS5kDGeJ6XUDMLEiDAAYWxYyvvOSSWRZxXmjhRlQVgCdZfCQMVxapJOt5EMz7FyBzkCBYg7UrH2pvowErPgBep7DAX4hHD8QYwEYxcwmYdcMkyArW0wHGLXRRYHyDGeJ1agpOH2HqdgyEDWX1/V6/bOt37yRa3qGTZ2gZfBQ4GlxKYZnmC26whAN3Ne2Gsv0ymUSQz49UQLwbQFR+rDsQEPNJsEoRc8wSDM8JEgmUVzIM5wlfGq1imAAs2srzZvo5XXLNu0a35awVCu8N4iVg7RZRUa4/+mMzbgPoxfxFPzngUQSG/oGAZBMYiTDT6mSJ6n08VqOORfctMfF7A9IJjE0SCZRXMgYzhJeJsFQzGwSHr/LVjPMvRLMM8wyS2i6VRCSSRSX7D3DQ39e4hE0ySwCg1KrjUx4Y4OeaOnDL5HuB24dN6VWG76Yj45uXVEgYzhLZNovZnB46fe8prVl8EaLVDMs2Y8oPunzDPshkxDPKT+/oigSz/CQT0+UALyxQc+09OGXSPcDMRaAUSoe2VIpx3Aiyc38EoWHjOEs4YOTGCrnGdZ1XWoQ8dsysV/5tsQ0hs1sElxqNWp0ikpxPMP2Y8hmEQC2HLNi/g2QTGKkYPcM0zMtdWQzikPBzagubp5hC/IMZw9phosLGcNZIltJyMozrOPRdS24c+Vmx+9s3rsMqrstm0TSHkDH+xbJM1xkhNvvpRkOqwoGE8mhn1I4RyRh1Qh+kRY+gI6tXEUBdCODRJaDa6K4sHbazaObLWJgLKO4qdUogG4oWNkkiluO0QoZw1nC53BlWF43oGkgiqYB53KKdplE+vPw+8QFzzBvKJMxXFwcnmGPhzu2LISOaHzI3ln26wmp1H7NXH2ze4YtmUTQXDKc6stIIEma4WEFMw5DPkXQlaJmmK+I5BnOHgqgKy5kDOcI36Sp5qIbxmpxsgZJt2n8stUM2z3DtOhG6eL1PBorwohrOrpjiSGdg3lg6sNBlAdUbI3wxrDlGVY5z3BIVdOWjxg+JLJsT4jiwqRu7D0cKq6e4WLmGebLQZ7hrLFkEnTvigEZw1nC3nE+tQ2fTULTDRmDaHRkK22wyyTsAXT8dwnKM1xUWMMVSNUBT2O43PDktg3GhnbO1ClURcHEijA6BuOOOgLYU6sxmQT1USMDyiYxvPDbM+ymtigFI1RVKJYlF5iEjca2xYGM4Szh8wwz+GwSrB6LjZLdM5z+PF4BdKQZLh3Y7WdaQK/nURUyFmcZHGKuYT4YZ2JlGXQArRHDwHZLrRZSSSYxkiDP8PAiZhrD/nS5vPY4yP1dCqnVQopa1EC+4Qq9x8WFjOEskVVX1eYZtksaZL/LpNLzQXaWTMJpRJExXBpYAWruz8M0mIfYYfHp/SZVlgGAKZWwB9ApVgBdBsY6MXwgzfDwImHKJPzSDHPGMHdM2axkoWBnDaqKtK8ivGF2ATnViwMZw1kizTPMBSex7+NCY2DPJpEePuqfTYGLXj9jP3pzionZAShOGYK4MljApyA2a3ZCwcSKlDGcCqLjPTJGajXj7xDJJEYUlE1ieMHa7mAeZBIVQXs3XizvMGuXQqpC/VIOmDKJET681XW9JFfNDGayk67ruOCCCzB37lycdtppju+vvfZaPPfcc6irqwMAzJw5EzfeeKOvBS01+DzD7C8dlkdXjKbVspzWtGmGBZkETyloxEYz7O7LZBLioIf1g0NNb8bLJCZUhKEAaJbIJAzNsHHSsoDRYQ5VokGUBvx7T9OrpU9c0xHkZmqGCn+c/cfXY+tAFBv6BtERjSOh6SgL+HKarOA9w8nULKlf1zsaYLbDSH+b7/uyCUFVxfdmTyp2UWykNYbXrFmD3/72t/j4448xd+5c6T7Lli3DDTfcgD333NP3ApYabNSm2jzDxv8sgA5IJ5NIfx5xiV23LBU0Ai8NAhKZhGikZKIrzgR+diIcUDG2PITmgSh0Xbcbw4pVNydWlOGL7gE0R5xp/4jhB1+HqAUofeKa5ptXGLD3P5XBAI7bfiIeWdNsGMO6BqBw1rBp9DLNMJe5hozhzDHf6RH8Quu6jrW9ETOYvJRIaww/8MADOP744zF58mTp97FYDJ999hnuvPNObNq0CTNmzMCFF17ouv9wR5pnmJdJMM+wZwBdJp5hY+o9oeuIaZqxup1kPzKGiwt7rkGJHlh8NvmQSQBAXTiI9sE4NF3QDMPyRJUHVYwrD6OpP0qexBEAP+ihx1n6xDUdYT+NYYlmmA3ICzlb+E5rN57f3I5fzJ9h9k8hxSpHiISYGcOa7pH8Okc1DXFNR02oCFMXaUhrDF9yySUAgDfffFP6fUtLC/bbbz/87Gc/w5w5c3DXXXfhnHPOwRNPPGFLPyajoaESwWBxbkpjY01Ov6uOGtPRNTXl5jFMgygUACLGNVfVVaBxTLX5u36uVahrqERjbaXneZSAgnBQhZ7QoKsq6sdWSfcrrwhnfS25XvtIwq970Jl6rGXhIBCJobzSeh79Qj7hhnrjmfP75IKakkRUlIfQ2FiDivUhABE0jKtGqKPH3K+ursLUm9dWl2N7TcM7TdugVxqj8tFcD4b7tYe2dpp/14+pRGNVuXS/9oEo/r5iI07caRomVdv3Ge73wA8KdQ+SClAWCvp2vsq41baMra9CY2MNalq2AQBq6ivRWFOR0XGGWp6e1i4MJjUoVWGEywxzorI8BPQPorahCvXloSEdvxCUzHuQ6kuqOduiEBTyXM19g8Y5aypK576nyEgz7MW0adNwxx13mJ9PO+00/PnPf8bmzZsxbdo0z99u2zYw1NPnRGNjDdraenP6bU+v8TD7+qK2YygAorGE6Rls7+xDAycO7UxVAgDo6OxHRdR7Wd5YXAN0IxhhIBrH1tYe6X49QjnSMZRrHyn4eQ+29Rh1WE8Znfzz6I3bjeG+nohjn5zOGY0DAKLRONraepGIG3WptbUHPf1WPevtiZheooH+KMYGjIHnis2dmLjD5FFbD0bCO9A3YOWq7ujohzoQl+73UUcPPmvvxfsb2rDf+Hpz+0i4B0OlkPcgGk+iPKz4dr4op/0f6BtEm6oiETXam7aOPoQH0y/s48f1D6QG5u2dfYim2iU9teR8a3sv4mWlbQy/1tGNiiTwlfF1xS4K4qwP6YmgLVyYelnodmBDqr8MJrWitD9eBviQJzFWrlyJJ5980rZN13WEQqX9EuQK8wKLPm9VYQtuyAPo+AjRTKapdehQAYRVFZ3RONb2RqT7kUyiNJClLiuEZtg4LlLHFabPYU2hBlUFU1Lew6YBy2Amhie2PMMeE6tst9EYZ/tFdz9+/d6X2NRX/Poe13RfNcP8kZgsIcjJJLpjcbza1Jn3FGesfiV1Ls9wSjMsy35Uajy/thVPbmgtdjEAWO9o6d+13OlNOW5qQkP2w/rOkI1hVVVx1VVXYdOmTQCABx98EPPmzcPEiROHXLhShI/k51GgGItuuATQ2VKrZVDbdZ0FSCmIaToeXtMs3Y+M4eLimU1CeDT50gyr3Ln5DkjTdcypq8TCyWOwc0M1JleWQQGwpZ+C6IY7vJHjVZ3YV6NxRbBnN7UDAP7T3Jlmz/yi6ToSuu7bghuAPZsEP+AFjPSK93+5FS9s6cA7rd2+nVMGa4uSmuXuCWWQc51wwu7XSL5rkaRhDFcVSR7rRU5v5yeffIJFixYBAObOnYuLL74YZ599Ng499FC89NJLuOGGG3wtZCkhyzMMSDzDDmM4W8+wYeyE0zSgsnRrRAFJ3X5z0Q2PlFeW0erLKc0BGW9kxwUjqTwQwEFTxqI6FERZKvNE00AUHZGobap1NNLUP4h7v9iC/ri3ZKkUyTSbhGkMj8J2grWcxb50v5diBuzZJExjWFHN87Wk5As9WdbtD9t78OT6zD2llmfYusnBIgTyjQRYf1GKOXj9glUJH18F38jYV33ttdeaf8+fPx9LliwxPy9atMg0jkc6oleOoSqKbdENp0zCIiPPMHTDM5ym1oxGj08pwepDQGLoik+GyRmG6hlmj9ySSbh4hiW/nVRRhk8G+3DBK5+iKhjARXtsP6SyDGfu+aIJfYkk/tO8DYdOG1fs4mRFpnmGWcc6GgfNfP73YhI3jeH8eIbZcS0jVHOdwUzHY+taAACHTRuHcCB9efnBluUZThnlw6jOlUJO5NHQlZsy0xJMuUeJT7LEXSZhGB/se1EvxbcLXho/fn8FSNsgjUaPTyki0wyLj4Y1tkPtJJwyCaTObTeSZB6Gai6lTX8iie6YPPBqNMAWsxluqebu+6IJ6zkdbCalH27X6AeKT7KkoRL3eSlmBjsca3vY8f0wQjO9Z2YqUW5VMSu1WmnPPPHtY7EXI9K4wcRIflNzHaQVAjKGJUQSSdegCzeZhJLyDDMcMolsA+hSmuF03gQyhouLqRlWnR2vOOjxTTPs4hnWdN22HLPsLBWCVqt9cPQaw4xSbJjd0HUdK7v7bds8PcOp/0djO1F6nmGfjWHYjeCgaYTqGOpVZ2pQWwGaw08mwZcukiiuVMouoyxiQfKMaQyXYKNLxrCEl7Z04LbPN6Ev7kxP4+UZ5jscYxUg7nfZBtBBhwolvUxiFHZypYgYQPdFd79DkytbpS4X3DTDSUEzLDOSKoSZhliJe2/yyXB8c2Rlvu3zze77M9nWKHzMrMMtdhPJBqh+yiQAzjMsBtD5YE1l2kaZgy1JAF2pyyT44kWK/ILY40hK+74NBWvRstKzhksvv0UJEEkaPr2BhIZqIUOcm+ZFVQDe9nEux2x9zqSh0ZHKJpHOMzwKO7lSgj3KIGfoftzRi4fXNmOMkGPT1AwP8ZlZxrA9m4SxAp23h0H0DMeGGs03AihF/Zob2do5ZrR/iRsm+YB5Tot95Sx/bMjnembUW930CAd9NEIz7VesGBlrW1C1AvlKGb5PZlkOioWWZkZvpGBJ/EoP8gxLYBUzLrFa3D3Dit0z7JFaLZOOSTM1w8PbM9w+GMObzdtGbIQsuypeM7y+z8gJ3Rm1SxBUia44t5PqqeMZH608w87UaiIVQfsrL6vjowXLSzF8yFZiM6plEj4FrA4V0zOcpi3PFhVGu8MGc7xMwtKf5nbtGcskuMGWlWfYKEfTQGmncOSvsL/IMgmvWJORhJvMtBQgY1gCsye8RrYOY1ixV+i47m4MZzKNpUOeWk08b7ZeAE3XC6qP+m9LF/61qR0d0ZGqTTXuvyWBkDesX5vY4N+iG6n/WV3gjWxb/lnJbysCds/waE6vNhz7nEyCb3lkqa9GC6WjGWaeYb9lEopNhyzzyOYqmchYJsHVL1Em8WZLV0k7Qfii9RU5vSL/mPy8Yy2RKNoHY+l3LBBuzsRSgIxhCZZn2FktXfMMA56eYX6EHsvAANF1XSqTED9n28n95cO1uGLZWsdSwfmC3cOR2hmzqzINXU3HQMoYZlXkaxPrcei0cVkZw52DcdyyYoM0kNMzgM6WTcJ5XKdneGQ+l8wo3Sk7N9I9rvfbutEacXZ+I/X984J5TIt95WYAnd+eYQW2Ve3MLA66Zl50ru93phIHXjPMPvGZGZZ39qI7Vpi+Jlv4K+wtujHMt9v+1di/f7nVdcGuYmDKJErQNUzGsAT2Ksd1DU9vaLOt4uOWZ1jMJiFOP/P1O3PPsOVxZIgRydnmGf6oxbgWWYeZD1j5RmxfzDTDnKE7kGpYmT5XTIHm9ciuW74O933RhJe2dGBrJIZ/rHU2ZKJmmPWxMc0+KSrzIoqeYQqgw7Cyhr2m/FsiUTy+vhU3rthgbrMbK6ML0zNcbJkEM4Z9NgCqgwHUcsvaMsO4O5aw+rAc3+/MA+gsZwerYrNrK83vH1nbgtebt+VUhnzDt5ayYPlCkukiOtkymNRKalGhUpamUQCdBN4z/FZrFwBg3/F1ANwrqpFNwvrslVotEwPESK2mOFZqCQUUgHtvS93jM9KXmGTXpSpWRpHB1PNlBrJscQwZSV1HdyyB7lgCu46pNn4rPafdo8lkEqLkYUZ1heO3omc4NgqNJJMSbpjdcHtcuq5LJS/MECz1diIfsLaz2Jdu5Rn21/f0P/Om2D4zY/jjzj7u3HnWDEtkOGPKQphTW4kvewYAAINFDk5zg7/EYnuGvRZrGgq6riNa7BeAo5RlEmQMS3DTDOu6blZaZ55h+2fHCnTcx0wMECO1mrPSiA1qqXdyrHzFDmIpBAFFSQU+shRHRifIG61iCj4e3pjxCjRwk0mw6cldGqpx2LRxqBeyWQDO+pOJZGekInrYhwNu75Hb22V6hkf+6+eAPddiX3q+8gzXhOzdd1DSWOSsGc5WJqHbDR3+UhOajg/be/D4uhb8YtcZaJC0S8WAv8Jie4Zt77WPFVZHaQVJW31X6bW5JJOQwCqm6Gn568rNeGlLBwB5Ngkep2fYIiPNMAxjRzyumHc4106uUB3EaPEMKzCMUlsQZaoO8Mt8MoNZBq+1Y3/JDDXxO9EzHA4oUkNYBskkUJpuChfcPcPevyv1QXM+MPMMF7n1ycdyzDKCEmM77zIJzjNstoVchgvA6AsfW9cCDcDHnb05lScflJJn2J5azb/6qsOwEUpFJsWurRQNz1IsU9FhzYdoDG/kgplkeYZ5ZF5lRkaa4ZSHURxAOTzDJVLJ3WDFG6l9MX9daiqjCHtkbHaAf4RsHxm8MRxNTS3KPcO67TumGR5MZh+1PqplEimGkS3smk1Cgy4dOJnGyih8zuxuFPvS87Ucs4jcGM5RJpGxZzglw9F0W2PIt0ClmjaMNzoHEsmiviP5yibB+opScXpQarVhhukZ9qhATs+wHYdMgvs7I80wDKNqfHnYtl30DJf6Kj8J0zNc2uXMHWaYKgiqhmdYNHb5F1/0HvMMcinZWNCD7AUVdVcB0zNs/CabTnc0yySGI251x60ZsKaxR+r7506pZJNghqXMWPWToGQQnP8AOmt/HVabxLd5pdpH6cLffUXMNZyvAQM7VKk4PUpZmkbGsAQ3mQSPM8+wfYs4IvfKNCHDCKADtqupMIOpAB81wwV6N9h1l2h7OGT4ywooCpKa0xhWudqiehnDXH3rF9KzAcYCJtGkxk1HWsfkf59Np+s2MFve0YvOwZGaG9pO6TXL7rj1aW4e49G8Al3pZJPITwCdiCxzWyED6GzGMPdW8V7mV7Z2loyGVbzEYuqG85VNgh22ZO55CaezJGNYAqtAXl4zh0xC+D6hC6nVuL8zC6CzKswcLlWNI7VaiXdyI10zzDCCRhQkdecUI19Vghlqhk1jOPXjvngCN3yyAX/6dKMlkxBSq5ma4Sw6XVld7I0n8I+1zVi6uT3j4wxnFMUYaFz70Tqs740UuzieuBl2pBl2YqYyLG4x8hZAJyILSoprum3GKVOylknouq3TEgPo+PKs7SmNd0y8wkLphl9p6sSrTZ0ADGfRsxvbsKXfWq3Pb80w4P8MYGskhhU56L9JJjHMYN7Mwaw8w/bPXssxx9NUTJ2NshV7gBQw9EU3Cg0L8CvtUuaOwzMsk0lwf6tqZpphM2tJ6jNbIakjGveQSWTmGf5/E+rN38saSbatacC54MfIRMELmzvQE0/gn+tail0YT1w9w7o804TluctjoUoUM5tE0TXDhTGGZfQnkrh82Vp80N6T1e8y7Vc0s365e4bFY5WOftVerkJ5hl/c0oEXUoH4K7v68UZLl83x4K9Mgkk+/X0JblyxAQ+uac46h7HYd5USZAxLYI/X66XNNpsE/+Kl8wyLFYY3hsUG1a0TLBVGfGo1bqQbSAXHiYYH77FhUgoZssFXJqnVRJlEuk73O9Mb8eeDd8e48rC0LrLyb4smCrp0d7FQAPSkVsmqC5d2tkkvOYSstWLbRnMAXbHjFQolk/Di/bZu8+/BZBK//XANnv5yq+v+WWuGNRbnwhw41j6iVKNUVr1kpahOLY5UjIwS0tzgPh4/3zKJbAc2mtl3lZ45TMawBGa4Rj3cKdnmGbalVktTgdhPVcX+P2B5AW3HzsHQLFQHYa5AV5CzFR5+4JKRZ9hDMywzWKQZAoTvRM9wJp1uKKCiLKBIG0m+PjUXaKXCYqID6El5hWpL3Bh2a5LcB8XGtlINYsonZmq1UewZlvFl9wCiSQ1PeRjDWS/H7BE0LH5XOvpVA/bO9xZBM+z+xvp7fD9lEp1RK5Yk25lp0gwPM1g74B1Apwif7SQ03eYN5utMupGxuOQzbwDLOrVcpkAL1T9YAXQjszPmsmsioCjSZ8vXjYCiIJLU8J+tnY79ZA0Le/R852Kt7258Zn1spp5hRkhVEdd0hxHFl2PrQFT8WcF4t7UbL27uyPt5dF03PcO1odI2ht0X3XA+R8Bqd/ycmUnqOpZuakNzEetGJrDA1WK3PHFNR0BRbDN8hYY/86a+9PKnzPMMW5phFvQN2IOGS9YznCp7TcjwDPeVyLLFfvWV2cxGZ8P1H683/87eGDYoQccwGcMyckmtJjZ0OsQlFvmKmcYzzM4hTIMD9lEZIxfdcKHao5GuGWYoAAIuRqh90Q3j/+ckRp7UGJYcz5RJmMdMeYazzGfK0vQ5M59YfxdTN/xuWzf+07wt7+fRYM3cuD3DUsHNqDU8w87tbp67ofBpZx9eb+7CrZ9t8u2YecH0DBdfJlF0rzDXBrUNGrM9E6vKXHfP1TMsS63m9AyXRm9gyiRCQagYeZ5h/jj50mlnWk8YVt9Veu0sGcMSMvIMizIJyT58Rgm+0mi6dyUSjR2+HW2XpLvKtkIa5/C/QWoeiKIlYvcWmdkkSqP98x1evytLbcS+Y8hkLgy5Z9hLJmE/JqsGwQy1ieGAsZ/YUGo2z3DxZBJaSnKSS/3OBvsMTmlXVK8V6GTSp3wYw2zQVerBu+zii13KuKYXxRiez6Xk5M/ekXKoeLUTMU3L6F0QU6tZ57OnVuPPXzIyCU6OWBUKFFwzvKy9R94x+lRh7UH7+XkLsjaGSSYxvGBBKp6p1YTPsraOryis46hIGSBeDYKoCeU9i1Mko/lcOqV8vBs3f7oRN63YKJwnZQz7f7qSw83QFTXDbmTuGWYyiZSMRqh8oQznoFhmErGe8+VojUTzboy6wU6b786Tnx4tEaeVK3wA3Q51VebfhkxC8gPTWCl9Q99v2L0q9jM1jOHCdrWL50xCVSowDOBX49OxLWp4QMX3nq8fvfEkfv/xevx7i30GK6np+G9Ll+lF5Veg08H3WdZvRGlfsdoTEb6frQkFC55n+OmNbXn2DGc+G50r2Xr5KbXaMIM9X6/qI3rsZG7/uMwYTjVQXhoezTR2jM+8kbVou/GO/XMxhgsWQGcaw6XRAPoN76V1M3TtMgn3lENexrBsuU7RM8zIViYh1kX+Y1K3plULDTNmvGZo/GBbzJptKfV6yj+b2nAA+zTWmttl9Ye/Hr8GwMPFpmblLPYzLZZMQmaA98QSZj1xGMPc3+t6I+iKJRwxA++1d+OZjW14YLURfMfucUI3PpgxDkJ/yB+7dGQSlpeyOhRATNPz3tbw8Asoyco1VPj3NF8r0MX17O6X2HeVEmQMS8gl2ERmB/Ej4ESqzmTnGTbgH1JZwPnIchlpF6o9Gukr0PFk4hnmpRRi9ghWJcq5Z8z6UFkwJjtd0GEMZymTcPEM16eirIsVRMduT76XEmWeMv6cftAZjfsuJbC3TYppdGjQ0864lryswWfY1Rb7soslk+DPKQbZAs73nq/7bD+xznSn3pWm1CIR7FtNkEl4XW6pySQUBahJBc4W0jusQz777Fd95Q/j96IbjJxlEiXoGiZjWII0EMUjXZbsM2CfHkqmRlCmZ9ijclovqVMmISO3ALrsfrO8oxcfdWSXuF3ncu6WiDPAd/iBS7YyCcf0YepzdYif3nRGxIsyGlEmkelyzKZMwkUzPLWqHADQVCRjWHfxYPkNH5TqVz3d0j+I6z9ej3+safbngCn48k2vLucGS/IcxHwVG7G5vl0wB+JFLkNCL7xMAhBniNgskPUuiV5QmUfSmTPdvq9u7icuuuFO6XiGDRRYGSUKrRuWBemPCplEHsoyVMgYliDtVITPzjzDzsdr1wwb/1cEmWfYvRJlKzLPTSaRHc9vbscLWaa5sk/tl0YD6Duce0HitE99xXto3FMOsc67hkvvxXaX3UvW14mBe5kbw3KZBKtPkysNfXprpLieYa+sLn7jVz3dnPKcrdjW58vxGKyO7D62BruPreE8w+kN+dGWa9j0DBex7WF9QLFlEuzsMVufpNtmp2T1x61vYfvaUqtBngFJJF4i9dA0hhUF1aHi5BoeTOTRGC6ETCJrz7ABGcPDgLimSR+w6FVJl2eYHYvBGsWKANMMa9jcN2hbGYhhvaTyc4vkogXM1ksUTWoZ/4ZvIM1tWZ1t+JCtZ5gnocnlCXbPMDuPRCaR+izKJMTPbrjJJFj1Lw+qUJX8yxTcMANZC2gM+3Wp+Wrs2Z2YVVsJVVFsMhppnmFeM1wiHrlCYU3h+3vcuKbh4TVbsbEvksG+hTWGF6SWWp9aVS49Z1x413nNp6z+iHWGDeytgYaBkVcfYDXfqwmKJjWs6RkoeiCdGYgMaxW6QucalnqG/cozzP2dL2mK2IelQ5z1LiXIGBa4/fPN0u3ie5tRNgmbTCJlDAfZ1LSOl7d24on1rZKoXvs53KobM77cOrnmgSj+9OlGR7ozIHvj1FicIbN9kzJjeBT0w67GsG2zdSNETx0b1PALP5ieP5tnmH2XOq/PMgn23AKKsZBIsabXTc1wntICySj1GQz2LFjDbQ6WdDd5l/W3X5rh0r5DFsyo8Lu8zQMxfNzZh48703v9E9y7VAgOm96IK/aajZpQ0GYMs9OLA1ve8SO7T16raQL21GqAnpFMYl1vBHet2oIXt7R77JV/+HY0lJpey/fsiWjoDuZxOWabZzhPUrPsPcPZzXoXEjKGBba46CO9lpsE5NkkbAF0Zmo1YwQa1zRjNA3n6NCcBjcNIXmFYx5At07u2U1taBqI4sn1rWmvxwume8v0dUrIjOFh04WmR9N1vLC5Hc0DUVuD6naF/GpM/G0XPSNSz7BkdsCRWk2ojJl2vO7ZJJgMQ0ktH53R4XyHlWNYeobz1Nrzz4b/X4OeVt7l33McHu+y6b3MUxBjJt42rcDGMGANjsMSnTJ7l5idzOeflXqG0xnDLLWaDptmOJPV9tb0pPes5xPeSxlM41jy7ZzCZ1n2Ct+MYZtmOD/Xle3ggVKrjQDSNQr8Z2ZkrOzqx5PrW43FA5hMgnmGk9a0ppgQWxMqzJSUdnPh5DG2/ZgH0M2wZZox6QuXRR1mRlumHkJ2Ops3c3j0nxmxpmcAr27dhps/tedUdrs/9qWULWTGsAqgUpIflN9T9AyrimK+yNks++oqk2DHhaFHLtb0OitHIdIdsSwvpZ6Llz0KZsyYAU26+L6lN2xGOqau1e/jpv7PZCED3Xxehe/9+RkiUzOcepeqgpZcj8HXHyb7Eo0d8TLYt5puX465BG0dB7yXkg1W8u8Ztn+WaoZ9KgJ/GC+HwrreCDZnsES3DNIMj0JEw0XUvPDfHjptHADg/fYevNvWja0DUc4zbE1Ns9+IEb5vpJagZWcoDwZw1d6zcdCUsbZzBtO8wCwNm8yYyGbqm5XP6yd85yv3DI8c+JWb+JEuX0V2dVn9icchk9B0BFTFbgybq8s576VtZbtUx5epXhjgZRJyDzWTSRTLiDKzSRTAM8zueWkkfXJH9DSas0eQ1xF7zuiR9Bamx8x44PNlZzNjwVr5YqzGbA+gMwrAjBdmDNtlEsbfM2sq8KMdpqI6FHBqhsX8wdyAg69/xTD+s4Vvu03HUp4H/uLszUBSplH2pwx2mYT7MR9avRVPbnDOHmdCtlpkcWarlCBjmMNL0D8gGJTO6SKD8eVhlAcCEGFev7KAlU3Cmm6zzvv3L5vwVqsRVMcb3DLBeboX2DSGJRU2myrMyidPEe48HiuPXTM8cjpifoU3/qrY82wIBzGrttLczr/4XjIJTdehKoo5YOKxn8f4n++YmHEk6oe9CJkyCUEzrFkN1mjRDDPjwK9rzVsAnYtnmHnmrP1MkYC5za+Ofri8yZZnOF8yifTHZW2gWgRfmC2AztQMpzzDIUuux2CXUx8OYmZNhXQg7NbvAcbgPhPNsNuxCg3vpTTjbwrsGY7kM5tEBqnVNF1HfyKJpoFoRgGhItnnGTYo9rOXQcYwR3/CPa3KfV802T47H2ZqykVxBjApsLx+fNCStaiAVVHX9kZsv/MikEYmUeYpk8i8ErNG3+snvBEx0j3D9kEBm2pTOENFsXlo3Z6j2JkmdKNR5j3DZhAQPwUuCUJgjXmmSzED3MDMJZtEQEVKM+z/08ukES3UCnSA5Rku9TGbxtU3438DHfZ6KZMI+BZAV+L3iCHzjvtBNsuEi5K3QhKSySS8PMNCWYOKYqws54FtRlDTpcsxlyqWYaYUTiYhfI5IPMO+ySS447jV1f540izTbVzyAF3XsXRTG9b2DHieIxtjeEv/ID7v6gdAxnDJ45VWpUfIP+jQTpneOudUdULXkdR1BBQFoYClGWZGTUzT8EFbt2Nxg3QNaLoAOmbsyBxr2XQQ7EXy8prJotb58w6T/tNGLKlJ761ma2Qsw1RzGRDZNcP8oMG52EVAsWuGzQ5dllqNOy47Xy6e4ajooeYCOAN5CKBr6h/Ebz9cg5Vd3tH47DrzIZMQ63JlyHhXSl0mwZ4Fe8xs1oFf4MbYLzWIgnPbUBkui3fw2ST8LDN7PzLxDLMyFDKAjsEH0LGSWpphI2ONTTMsBG4HVOdAWPzsqF/mjEX66y32TLkViOwef/Pptj40+7jokOiEkmaA8etc3N9JXT4z1B+TOwB740m83tyFt1Oz1G5ksxzzPZxDkVKrlTgd3EpU6fBae130DCc0IxtDUFHM4Lo45xnuHIzjn+tb8SchIEuWoYKHnSbqYq142UVekgcR5k3wqvaa4CEAAI17+Z5Y31rQdd+HSiyp4bIP1+DvXzY5vuOvtYc1JpxmWFUUIXhFLqsQGyc2YKoMOjsxu2fYPKUJ62xz0QyLXgO7Ztj/qcOWSAxJXUf7oPv7xi/vmo96IxoylQHmGXa/1g/auvFmSs+fjnw19ax8VjYJY7um28tuLYpg/dY3Y9iXo+QfuWxk6GSzTLgoaykkfBu0sqsfg4mkRCbhrDOsCRGDZ6NJDS83ddrOwd8BXiYxHAwLvh01PcPc9caSGh5avRWPr2/x/Zze++RnBkfmVOh3WWQk04wp2QTQ8ccqPVN4eNTZguHVOYu42RyKojiSncc13ZRJhDiZBOu83JaATGfXTEplmVjXK5/K8JY1eB+bx64rk//QphmWyCQA4IP27JZzLiZsid4vup33lr8q9uwUcMFNsBulbs9RXImJGcP2AL3UwEKiv+ZH16YxnKVnWIEzmwTvfRR1g5FEEnet2ox1vbmnRYokMwnItP7OR1ogsZFnxoHXmf65vhX/2lTc3Kj8gAvgl+u25wFng13bTIRPVuyw8Qxzf/tZhbJKrSZ4WwuJmFrtiQ2t5rtcGbT6IYaY0lN8919t6nS8H/YBB7cccwl6/kRMY1iRa4ZjmgYNwJb+KAYS9j767dYu3Llyc9bvQib10K/XS3R4ydrRvpjc9jBnEtIUOBtjmHcKlWL1yMgY1nUd559/Pu666y7p96+++iqOOOIIHHzwwTj33HPR1+fvEqSFomMwlvG+jkAC3douk0k4PcNW3t5BaURp+tFTXTiExvKwq2Hi5f3N5oWT6coc50qjGRb3yQcrOvtwzxdbfAkU8pLM2DzD3Miaj5QNSpZCBcQIXw1PbWjFln4jrU1Stxplpulju/PdLru//HGZEZyNZ1hRDA1762DcZhDzGQtUIYDu7dZurOmJ4O5V8sVpMoHVd++ATLuHxm9ErVulzwF0+arp4qIbvGfYrhl2lsCvaytW3uls4a/Xz9kNSzOc/pjsXhWj8xcHxlv6o2bay3IukJvh9AwrNonJtpjTWeTwYiq2/zyRzXyu7RnAzSs2oCuLWdpcsVags2by+HbBjJWBkU6T56kNbVjbG8G2LMuZidfXr5oqVnnZ4C2dZzhd25vrKoLpZr2LQVpjeM2aNTj11FPx/PPPS7/v7OzEhRdeiFtuuQXPP/88pk2bhuuvv973ghaCbDzDInwlDwoj8rhmaE9FzzCrcAMuLpt0FUbXddSEAohpelptq+O7LF65uERX5nUuWTaJQvDgmq34ontgSF5LRrek4WfYPcNGY6IAGF9heOonVZbZjFJbNgnutx919OLt1m7c+tkmAMwzbHy3YGI9APl0N/NWT07NDADWi5yNZxgAdmyowkAiiZWpwAbjnJZRb+gGrY6D1YWhGEQst6Zn/bR5hvMvk2DGgV81Nl8ZmnhvFiAE0AleOiBPMolh6Bn21xjOwjMsyFoKiXMxHus+lAec2SRECU66PPbGb+yfhxpA98DqrWiOxPCfDOVIQ8F8l+DuGWZ8KZkhBLIPuMuoXfCpqoqHkRm2fS6aYfbbdAO+rJZj5urEsPQMP/DAAzj++ONxyCGHSL9/4403MH/+fMyYMQMAcNJJJ+Hpp58elqm02rPwDIuNG/9iSTXDmuEZDqoKVMVI2M7qWX9C7oVM16DokGcE0HUdkUTSR5mE03vgPJ7TCyMaTIWqEdkY+m50uTQSgP0e9JrTTAoOnDwGR88Yj+9Mb5QmvDewfiym1dFSAyYAWDCxIbW3bn7HWN8bwYzqctSXhRxly9YY3qm+yrgOzkPAnltAgWmcs5Jq3He5wmQSXkYV/50sNeBQETsxZgxrOvBua3fWHh8RP+qg9LimZzglk+DyUPP3jP2dD4Nw2BjDEg21H/Cp1dL1c+zrUsirysseTM8wvwJd6n9+AR/Acm7InDPi1Zua4Ryvt1ApzgB7ILLsvPy9Wd0zIF/IJsfUYl741XaIXmgxUBowsklIy5DaNZ0jQpT6eaG4/F0qBNPtcMkllwAA3nzzTen3zc3NmDhxovl54sSJ6OvrQ39/P6qrq6W/KUUGEklEkhpm11YioWmoDQc91553e5iK4pZNwnrhwqpqW3TDbUre9RwwXipdt3RhUU1Heer7D9p78MT6VuzUUGX7nUx3mgmxpNN7IMJvdV2xrkB9qB/tqNsABZAbaopirOi2T2MdACGtkYtnmG9InljfgrimmwYy+4UsRZYOYLexNbYy8YOxbGDyAH52wsyNqii2DjEQUHzxdDGZhNdj4r/LR55h0avHlklf3TOA1T0DqA4G8Os9tjdzP2dLoTzDrJrpujA7Y9Yba6NfaaPcrk3X9ZLSivLF9DebhHX8hK57pjNkrfxQBo9+wdIkKrCcKLwm1DIOLc0wIJdlmb9xeYszk0k4MdOF5nnxC0BMrWb8zaeS4w3BrlgC7YNxNFaEbcfIfjni9Pv7deW5yCTYO2xluvIuTbYr0DFK4HVwkNYYToemadIGUJWsiy7S0FCJYNC5QEUhaGy0GxNrthmG7/Zjq3H8jlPxSWu3pzE8blwNKkNW2UPrjFsZCgUwcbz92OGKMJK6joqyIBoba1AWDCCpKFBStyjiMvqqqgo7ygkYHaGuAxWVIdQFVaCzF9V1FWisNszhSGcPdACdnJHd2Fhj0/eUVYSkx5YR7ram0MeMrUZV2Flt9H5rOceK6jI0NtagUsjbXOlyPX5TV1eR9jzpvg9z03TivjVJp9e4rtZ+TjVipeMZU1+JxtSKdEerU3H9O18CsHsA3mszggs7onHbcUKhABoba1DNzVoEFOCAOZNQwz2HYCogprws8+fa2FiDWHkQWLUFekg1f1eWuvZxY6tR0dYNAGgYW43KUABlbV3G+VQ152eZXJsqa4V7fejhPLNxTfO93lTVVtg+T2qsAT63Pvclkhg3rhpnLl2G3SbU4cd7zTK/y6QsFVxQq59lL0/d/zFjqtBYW4naiPHeVdeUo4x732rrK9BYW4mypg6rTJVltrLkWq6y9m7HMd7fug1/XbYOF+4/D9vXV7n9tKCo3OI1dQ1VaKwqc+yTyz2oHLDaurqGKml7yGhKte011eUFaftELvjqPFz71ioAQFk4AOjG7NGEcUZ7FCwLmOXqDhr9eHWl8V5WbmkHtgH1Y6rQUB5G+ZYO27EbG2sc893BoNEu1EbTz7KGwgHHPQkHA0AsgWA4mPf71aQZ/WNNdRnGj69FUFWgBBTzvM2ptGHVoQD64knEypzlramrQOOYzMupZJCmLezTtQ/2GPYJc56VV5U5jtu3qc32eVxjDVRFQbTHqNMJXfcsSxKZv0O8nTh+fG1GvykkQzaGJ02ahOXLl5ufW1paUFdXh8rKSo9fGWzb5p3QOV80Ntagra3Xtm11KtNBpQa0tfWiv9d7re7Ojj70c41tNDWtnoxr6O7st+3b1mVcp5LU0NbWiyCAwXjCnOrkdTtGonPDSIoMxB3lBKxRVf9AzExf1tzei0DEMCB6+4wXrp8zKNraem0jw/6BmPTYMrq4e9Ha3ovqkLPatEesxu/+FRvx4ppm7D+h3rbPP1c1YWooiAkVzk7JT7q6B9CmuA/GZM9fZIC7HnHfrm6nJrmnJ4I2buVBXnbQ3T2AtpSrbgyAn+2yHW5cscE2DTenthJf9gxg54Zq83wKjHrV1taLbk4HPa2qHIPdEfA1VE8dq71vMKPnyu5BNFXOj1u6cdD4HqiKgv7UtXdv60ciNaB6e20LdmmoRl9/zCyb7DxxTcNbLd3Yc1yNtJ4AQE/q+P39Udey9nDvREzT0dLa49tUc2NjDdqFd7S/O2J2Gozm1l7oAD5q6baVs7W1J60HtLfPejqZvmeZ0D/Ans0A2qJJ9Kfe9e6eiPncAKC1ow/l0SQGuTiI7l6rbmTyDrjB6gBgXdsjKd370lVNOGH7idLfFZo4N7vT1tEHZcBuoOV6D3q49nBrWw/qwk65EqMrpTUd8Kjr+YQ3ObSEhrimQ4WC3i6jPenpt/qBzlQbE4kY25IpCVhrex8SZSFEBelQS2uPLX0mAGipPi5d/wkA8XjSeU9Sx+sflPd9fsLacdYOBaAgGrPK1LbNaCPKVBV9SGJbVwRtqt15197Zjwb3SUQHmQTpR6MJX669M+WgCqsqopqG9q4BtAXtbbIok2hp7UVQVdCRMtpjSc2z7Y0lJM/QBd4rXox3AfA23IecWm3BggVYvnw51q9fDwB4+OGHceCBBw71sAWH6YXHlRsNm5geLR3mdJHiDFxgU+5M0hBSFcQ0XaoNCnPzaa7p21g6Jd2YmgfsuVhNY1qQN4hpcDJFtmSnCH8tcU3H5v6oNMiKeUDziR8zol6HkN0D8VHxU6ei1i4kCUwZUx7CxXtsj+9uP8HcpirWtfDnlC33zWQT2WqGWX7dzmjcTH0n5hkGgIfWNOPzrn7uO+sY/IzDG81deG5zOx5d656bc5Bphr2ySQgP0e8gOnHKsCygOhfScSlffyKJWz/diE+3uc8c5U0mwekcAasB12Gv93wkvFUmn2QSwn1pi8TM9qeYeuL32rpx66cbzfo4lGvviyccGQRkx0o3TVzMADoRNeVoURWYWY1iHgF07B13kywkNF3S1jIte/ryyHbJJGjPL0RpWUCVZ5Mw4wkk7UG2MoFM9vYtz3Dq/7KA81kzxAA6M9aAzw7lcY3ZZJMo/hvgTU7G8CeffIJFixYBAMaOHYtrrrkG5557Lg499FB88cUXOP/8830tZCFgmSTGlRuaoFAamYf4YPnUamLDx3IUMsM1qCpIarq0wwy7pOSynZvpBKFzyzs7K68t8A3CKmY5LLrh9TvZtchelEJqwYaCl75aeg+Eh+W2Ap34HUOFsQyzPSWbIs0XK1tlbr/xdTh8eiOOnTnB8Z0X/LHYSksyzTAANA1Ebd8BwEtbOnDJB6vNwWRXKguHuJoiTyT1PmzsG8Qyl9zTYrPtt25Y7MRCquLIBevWH6/piWDLQNTVWALy15lbS3F7B9CZBiFXjFw1wwOJJN5s3mbGDojn+eOKDabmvACvtytPrG/FloEomlIyBnt2jewK9trWbbh71RZ0SjIM2TOdpDOGjf9LYXniYCpNYlC1cuHLgqNZWdMFsyV13dEWKub/uQbQpY5diH5C0EgHhbzKzHgsM4NrfTCGM9jdr6aDHYf1KdIV6ATNsNnf2Oq4uyNCcznucCRjmcS1115r/j1//nwsWbLE/HzAAQfggAMO8LdkBaZ9MIawqqAmpQNO5xnOZqDv9AyrRuCFpNbbjGGXk7Cthmc4NepLOgOgeDSfPMPtg3HptKCsoZClXSnEiN+Pd1NMScUHRWbiGQ7YPMN2ZLmAZQE2TBsunlO2r6ooDllKtrDsFMyQCql2Y7htMMZlkzC2sxWpvugewLjysLndzfjQdd30DG/oG8SGvkHs3FBtDhT5/Xj89gyLhqGqKMY7zb8jLsMqZuh7eUXytUqbaLCwp/Nl94BtYMPeWd5YyfXde3xdCz7r6kd/IolvTx0nBOrZj1kKmSZkwYPZjqUiiSR0GHV+TLm9vbPNgqXJw1rMRTdEFMV4XmyQqyr2tp0trRtKSczM4OzUNYqGX0J3ugWsZcIzKI9kG7tPmaStGyrWwNIgwEkUjTIInmFJHcq2nJlkivDrDWLHETMC8YgyCXaN4kyvF3FdQwDFif3yE1qBDkYD3hGNY1x52DZK9MJtOWaZAWsawwH7sWWVjJdJuD0ca9UpQ88E2I0FWSet6bl7Svhy3rVqi3Qf2eFk11eY6a+hn8OrMWD3rsw2e2B/7oqimM9ZnCmQeoYl9Ya3zXjjMJuFNTLhB3MnA7BG+Kz+GGkArXO1R2LmoEu8BH6hDuOz/Fwxzfl0BiUGhWi8+L0ks6xuenmG+feFLZLiZQznK7Wk2c6k/mfP55Ntfa4LBjBy9eC0pbz+bPbMa9akFJxEbBDu9vwygdU22UITfN1ML5Mw/i8Fz3BC05HUjHdUURSEA6qt/HHuvQeAilRQbsQ0hu3vYOdg3HH97LcZeYYl7ZhM4pcvrD7b+D+QmrFlsLaOGcOPrWsx332Gn55h08mV1RE9zgV7myy+q3FNc+QetmQS1jY3R0SNZEnv4QwZwzCCdeKajrGcByCtTMKhL0xtl+y7LWpMRTDjyVztRvJmhGyeYe9za7q3ZphH0+0a5Wz6hmyWHeWRlcOv9E5e+HEG/v0Wy8w+1XJR5F76t8w8wxJjWFGs5Zj5fX3uWcUUSuz/IKcZBoD2aNzVKBW1kW6DnogkZZ3MGBZNZr+XZJbNWoiPQLaIBWB5hr1ybOZPM5zyZrHlmLky80vGmnXWw4ubKeyZsmfCH0e8i/nKr5wNSUmHnu21m6uuSfJN2zXDaTzDJaAZ3nucEUZnpPi0FvZhKT4Z/IwQAFSkMj2xd1Y0ev660rkKJZuSz9UzzO6n1wqgfsFLGwGnTIJdbxk3a/XCZntGjWw9w14LQrkZrbnCDqO6OChki31ZnmGLuOCZCKkKplSWYXatkSQhU91wCcjmPRmVxnAknrSNANujdr0wYPfQynB865GLkb1gzHD1kmDwhpLb6NoaQepmIASfUNttNTpb55CjZtgN+RSSxDNcQC3YkI6RgWe4LmxNDcle9KDEYDE+Kw6DWFYlVMg9wzLDeSiYQSucZziY8h7x54prxgwK24dHEzoWN+NDZviKBrKm61jTY+80/F6SmX+m7FV3eLu5OsAbQOwavOpyvuQC4sIIfAPO58aWeoZzNYbZuXX7/7JjFnrVSRlWAB3//LI7Btu/M+pMo8g/2+GgGT5m5gSEVcXwDOu6le/e4RlOySRSBi3LvR1xkUnICLm0eZnCzjGQSOZdciPq7yuCAQwmNWxlmRQ05hm22nmxfsc1Q6vfmeEiPU9vbHP9jrXDfl01ayvM2Trh+wGJY0IWQCd6hnU9tZ6CRHc+nBl1xvBAIolzX1yOR9Y2W9tSo9AaPm+wquKsHaeaxmY63KrD9jVWPlN2LK+Ify+tqbldsc4pE8dLZRKwBzuIoz0vxNGvmyY53e/cfus3vsgkbFOh4lSS8X+tR35RwHvKUPTuyj3D8kU3/DaGxUCZhKaZZXfLjOIYIKRKaGlV5cimP0UD+Y3mbXgm1WmwQYPfq9Cx8p86ZzJ+s4eRQ1h8TulkRQndvUx5WCcEgDObBO+p5/V/sueQbZm29A/i8XUtYEdl98C22qTLoKiYsOu0Pb8s2wRvz7D1d1rPcIlohoMpY1hzGMOcZtjhGTb6FmY0ZbL0Lms3cr3eGDeI81r4yA/Ed+mr4+ugA1iRWl+AtUtVnF0gtgMvN3XiifWtuP7j9VjPeX0TmoZ/bWxDC5dvXvT4Tq8qt332e/bAyg4iP7/UGGa/5baJbb0Oo61kg6bMl2QubdfwkPMMDzc2pzQ/n2zrw0mpbXwqKZ7p1RWoDQfRPhjHzg3VmFNbiXHlIfTFk+7LMQvPe5cx1VibeknMbBIeOXD5OKJMUqsxY4GfypdJEZKCVjMb40J8GdhqZDyyo0mzSRSgs/TFM8wdQ7wO9qk2lJlMQjb2CSoK+HwLsn0UWCsB2QPo8iuTiHMBg6rLwE2sY6x86TxlbPU5noiwbQOXo7csoCKRSObNM1wTDprvpXipvKEpO7uXRyRvyzEL3qw+rkMbkHmGecM1yxfjz59tEtKT2f8HZPWg+NYwK9NQvOJsb5kx7DVrJFIKnmHA6HOYTEJ18QzzsQKAtTolm7mJpWaMdh1TjQ875HlimSHt1kSp3ABftgtvWPXFk6hxyVXuB2afnfp/YqWR/74nlWFhMCUjqAxanbL4uHXATEm5oS+CGSnn15b+KN5s6YIC4LDpjQDsdXD/CfVoLA9jI6dBNtMk+vQKscPk4hm2z34InmHoUBRrFoA8w8MU2XSGGPxj/874P6go+Mr4OmxfW4ldxzoTN1v6I/sxZtdWmlrhMjW9TEK1eYbTyyRM/TEvk5B6hgVRvEQ4v6KzV2qsOIxhydsq0zkVL4Bu6PDGjFMSYHyuS+cZZlOGku/EOiDzCvAdB984ZZtLOB1ibs+EpnOeYflv2D1hX7Pypcv6MCjRqUWEbdWcJ4Z5p/wOoGNeXV6uInqzomkytHhmk+B1tT7WeUsHaP8M2Ds7P9IainubAzOPd6OUZBJ2D3Z2x2C/jSQ1DCaSeHJ9K55c35r6ztpvOGiGAcsznNStWSlmDLMyWp5hJpOwB9D1J5IYWx5CQ5n7IiNucRKA4Tz46c7buf5W13Vbn9EXd0pU/MRyYBmlZYY3WzApkkxCgSUXAay6Xy9bhVUySOQNTt5RIOqTAe6d9ivPcOowblpksd0F5DORooND143n6xX7JKO0/cKj0BjukOSNZN5KmY0hTjWkQ9wtpCqYlVr6lRlAnjIJ7gjpAuh0nZ/izi6ATvQMf9jegwfXNOMRyWIJYoMvP76znLJp5GySdOeKH8YHfwgxUIpdQiW3lLhs4GJ2DJIHKdYBeTYJxdIMc9vz5hnmNcMuMglGUjc6UTO4KlVAXn4jM4wykUlUcfeVRXL7H0DHOn73940fGIqnD6vOzozHLfhuqIg6x/3G10kbcblMYmgFseQHXgPFIZ3CFxKSa89eJmH93RlL4N22brzb1o2NfREhF22mnuEiG8OKYg5UzQC6AJvmZsYw0wxbGlrA8AzHNQ2DSQ01oYBn/8XSssmuN8TlNwacgy0xVZsswMtPzGDU1OeygIqwqqA3tRBFNKmhLKDa2kCv5yl71+w6fut6VMU5OLUCVf2B3U12y50BdF6aYWubbMCnwBo0kWd4mLJrah3x6qBTFO/lGU7XmJmdVGq3w6aNw4zqctSEgvjaxAbsWF+FqSmNkFdqLF5L6rYX82Dp3LHebesxFz5wS63Gbxc9wy2ppVzXShYSEBt8uec5M89wIfJH+uGd0m3eL+c0EWDPCS17WEzPLZVQCHXAPc+w08uVT83w59v60JdImuXzOldC062GFk7PsMybK8smIW7jo7eZVyZfMgm+cxbfcd5IFwdYZcIUM08Xt5qf7LdDQfQMlwcDOGn2JMd+fgbQMToG42iLxOypxUpQJuHH6nt8e8ZLJV5u6hQ8w+mM4eycKfkiqCrm+8hrhgHrnRXfibBqZJMZSGhmdofqUNCz/5J5hlnbpiiw5RMXn4lboLKMjzt7PRe9yQa+rLXhIHpS1xpJaqgIqLZnJ5MRMGT1jTeG+YWDFFhOMnObi9GaK+wwpmdY6KOZMcz3PZr5P28rWH/rqQGLoihcAF3++/RCMOqM4WnV5diurhJ9nA7RyxgeX2FkmPCaGpKxYGIDzthxGlRFwXY1FVg8Z3JG2ST4r9wMcCuATrcZzzev2AjAPcDNZqhk8cbl6hmWdRR+T3fL8KMx8erwZDpAqRTCQyaRiWfYnk3C2p4m0UnW8FKbv6/eCsCaQuPLJXaCkaRmDszYPeHvlSxzhGybGCjD11/2znilMcsFMXIecD4nL2M4qCiu04MfCXpKPw1EViK+rOUBZzNurUDn7anPhp54Avd+2eSZWqwUnESsnbNfe3bH4K9jWzRuBj9/0T2ATX1WoNRwCaCrDAYcxpH5bjHPsLDohqIoqAgEEEkmTWO4JhTwTO3I+ja+3QiZTgF7Fh2xOoptg9d78/CaZtec95nCjs43azWhIPoTRrapwYSG8mDAdi3Wgi5eR7T2473bfF1RFGByVTku3mN77FBfBcCoIwoyay/640n8Z+s2TyeBKJNweIZTM1/8DGe6PMPmPYP1rDNOrZbRXsVj1BnDgNX5357Kk+ilGT5++wk4bNo4fG1ivecxLc1wery8bTVpgrL47YZMwtpu5omVeoZ1myEaS2oZ5TOULRvtdnwR2X4yY0iGzIOYKX54hr30l+xa3VYIZAQkHQPDmVpNIpNQFGnex3zlGebvW0LyToiDuEgiyU3BOT3DgxnmFHYYw9wurH777X0QFxgAnN67QZtm2P4d02DKqAjaV2PyM2hUzDMM2I1htpUZNnbPsP1YH3f04tfvfYnW1KxQJvTGE7b2QBzclkKe4eZIDP9t6bINVrL2DHP7b4vGbde8lbtfwyWAbnq1lbnANIaFaW7ZO1ERVBFJaKZ+tzqYmWeYv14+qI4/Nqsr63oj+PV7X+L6j9fb9s93sLUVyGeVicUr9MYTiGoayh0yCecgk8Fvkskk+BlWdsTKYMB2/ADX5nvx5IYWPLe5Ha9s7XTdR1x0Q3wHmKFu00Sbnm9rP76O8wMI2ZLeMj7q6MEtKzb4nhHIb0alMdyRasxY8nwvzXB1KIgFExvSLsJhjZjSt3puHqVvTRmL3bngPLc2Z+eGagDAzJoKqX5LdvzuWAJ/+6LJVt5MtD6ZpkeTaoYlv81kWd2POnpwxbK1tqnmbPDDO8U3drLUMoD95ZE9qnJhkRWeoFCfpDIJWA0aX55anyOsgxJjOC7oCwG7fAEwPMOK4HXg75VMHywb5LCUYJquoyeWsJWDGaSDSQ1//GQ9ntvUnvF1ydC4AaOqCKkMs5BJBFNLqsvgo88BYMW2Pvz1802+zIrwnhkG35mZGmuJJSHKm/653ogPeL+tO+PzxzXd9l5nElxbKNhrtrKrH89sbPPMh5wOu2c44WpMp2vPSiWAbiaX4pPdp7IgM4aNa5Dp6CuCAUQSSVM6UJ2hZnhsmZWzn/WdKuz3gd3jO4TFO1igudvAyq+ZFnE5ZsAw9gFr7YFyUSYhye7jVcZoUjPfl5jNM8wNws1tKS1xBtfHVoNs8xjImpIqlZXdTiRhBAiW26Qrqd/yMgneM8wNIFhWrHQBdGt7ItgaiZW8tnjUpVYDgC4hiM5LJpEpDWVBNA1EUVeW/pbKOioA+ObkMTZ9mltpDp42DruNrcGkyjJpwyB7mT5O5U60lUPTbBouaVkzzAghi4CVTW0ndZbH1v28H7Yb08zvtnZjr9TqSdngR2OZSfqodB3cNyePwZy6Sts0FMMhk5A8bVme4V3HVJvTan7BipKwTY3JPMOCMZxIcuveO2clZMafzDPcl0iiNRLDjSs2AACmVpVZ+6e8F93RBNoG42hr3oYDp4xJOziV0RtP4JqP1uGIOZOQ0HWz42aIR4ymk0m4NO6i52zJBiMLwcedvdinsS7rcvOImmEAKOeM77KAipimm/fZ3B/+Gar8IMfhGS5if1cRCLjmps22XJquI6Qai850xuLS1HrA8PEMT6uSeIaF1UvFbBIAUBkIQAPQkYpHqQkFHakQeVi7VmXL2S+Xi7m102UBFX2JpGv2E7/qsWnY2WQSRrm7Uv1wWFWlBrysPugwrml1z4CtXgwkNNSG7TEGvHODl6kFJFkmZMgcGLLyAO7ZJAYSSVSFg7YHIw2g495xfgBheYa9B4SlkGEmE0alZ/iYeZNtn/0whhdtNx4HTh6Dg6eMTbuvV+VRbH/LyxNQFEypKoeqKFKDzG3RDYa5al0GnipZWWXHl6Vpcesoomnmv0wDy2NKygu/A+i2DkRx7xdbzAZSqhmWPIfGijD2cDHmM5JJpLJJDCaTeLOlCwBwwKQxvnuZ2Ip4ss7Hrv2zn3dNTwS9KY+RmZaNyyDiljlC9IL3xZOmIQwAm/ujtv35/wHgs239aa9JxoZUvu+nv9yKOLewCMMZQOeeTSKYyiYh69DzORko5hkG7B77gKKgPKCaZWelY+XlybUWRVx0kIC/+uikpuOd1m7bYiJesDR8/29CvfNYWZZLhzFAbSgLmRmIZLEeGadWK7JiMhxQzSwtrP2elDKQV3YZ71Nc06DAPhvE7mlbyhhO6xnmvjt46ljMqq0wpQfiU3QbRzBPpdudtS8wlfvbJptlYWXtSmWUCCj2dt5TJgHgvy1duOeLJizlZrDYAC1mMyot2Ap3kYSWuTGcgUSBfeWqGU5otjSWgEsAnc2IN/7nJS/pBoSZpl4rNqPSGD5k+wmYUllmBChxHdpQjOHqUBAHThmLcokXUIRf9lnElmc4g+KIHbi4uAaD76SqU9PsMq+vaIDLKrqscsuWmXQ1htM0YLyG9bF1zbhi2dqsOlm/A+g+aO/Bqu4BPJtq4MT0Vqys2SB2rDKZhKoY9bOJMw7z1aW6NcKino3nrdYu828rPZN1jMFEEoPJJJoHrPJHkkmHp9zr3n1jcgMA+8Dtg/bMp/V5eI9XXNMdz0C8t3xOZHHK1ssz41VXOwfjuGPlZuliDpmgcZ0RI6Ao5tSyZQwzzbDVtvnVKfHvr9iG+OkZfru1C0s2tOLRdc3pd06duzYUkK4MmYtmWFGAhnDQfMZhyWxEupU82bfF9gwDlm5484Cx0MNek+oRVhWs7hlATyyBrQNR1IaDtoE9078zXXlNhtkkAGPgftq8qeYMDHsGX2k0HARuMgg2uHN7Znw9zjQGRYZMf8/6xp6UMawqim0gI87U2Q9oSALEcrGsDXzbyF+bmUtd0xBIk7KRIYvzcBbHbtfwe+q6jgjzDHNfZJdazfJoe5FtfvNiMSqNYUVRUB0ypn9imm5phgvUYu3VWOvaoPCbc/EAuk0T8t4cNhWUmWfYWZHFF9CtsruN2sXzru+N2HIe8i/6h+29GExqnqPPNT0DthfWnzzDzmOwc8g8w9kGeGWWZ9hop3gjNF/aw4BLQBivovEK3EvqOnRdtx0jktTwStM2/OnTjeZiN4MJzRFg5sZ587fDbmNqoAAY5O7vmp6I6aXPBv6exzU9A8+wdwAdIO8IvKrfyu5+rOuN5JwWSubNAiypRECB3RjWrfJmM2DL9B0So9n9nBJtTXkj+cGgF7pu5L0OSgZw4vPTdR23vL8arzbJA5A03agPfBahsGTwlOkUcbE1wwAwp64SgKXJDaqqmUrshS3tiGk6Fk4eY/sN89JuiyWgKobh5uU0kq2uKi7qc9SMCagNBdJ6ht3GGXwdG4oOX/Yusb6x2/QMK1mkVpMXmM1sxGx9lPV9hTCzk8klebU/VnkMWN2zZ4HRocEZ7Csz9m2e4dT//HLMJJMY5lQErITizJjzO2WVGwFFwfwx1dLv+FFoKIcGlL3EIryRXGN6hr0r8UAiKfXCiS+gmwHu9qLyHWj7YAy3r9yMP3+2ydwm68Cu/mitNI3Myq5+3LVqCx5aY3mP/M4mwWBHtbxznHGVZeizUybh3EdVFOi6/Tnla7wWVKwMBABwyhxDSsR3fMHUn7IiJFJZR3RYjfvLTZ14vXkbNACb+gah6YaWtSKNTt06nwJFMRL1R4UpRtlKkungq0VC0x26Y/H9txvD9ufLvCKyzph5vKZUltm267q1qlauXlpd16HAKcth91RVFJQHDX0iP0sUVBS4ve6ykmQS6Crbz0+ZhLg8ME80qUlW0XRmLGDPSSxXQtfxcWsPPutyxlIAxjNUYTcWQkK9ZfpsL2Se/GLxlcY6HDJ1LE7m8lLXhoIYSCTxYXsvJlaEHTEavDe8Ohg0BhsejZAYPApYbR1fVVRFca0r5RLP8GAiaX7mH7vfxrAok1AVxdYGsnbAcFJkdp5+iWeYN5z5OhZQMuu/2D31akfYV6yc/K5u0lCZDCRuC6Bj3nTOM5ymvGQMlzjMkxJJar5ohrPFzVPAtzO5LLvb47KEZV/caQyna0j+/mUT3m1zZnQQK3df6mWfXFmGBi6AUDz6pFTOZn6alRnvvHETEDwJgNGQtEsMIDadxXRvsvPmgqyPEyNt+ZdnqJ5hWd1TYHTKvMY6X3maA6piygLm1VWaQXoymYQsr200qZnGdI0k28XWgShimpYylq3G32vKlb0jsvcgl5k3W33SNcdgU5Qv8cawOLBj19gnGQiyXSsEw0CH9R7muhKjrssHRGxqmckkxPIH1OxkEp3RzJbCFYOB/ZwRlaX3Y1y3fB2uXb7Ofm7oUGE3XlyN4VRB3VY5Y55hWzYVYfBUprovvGIdp/B9ixuqouDrk8bY6jn/rh46bZyjXwpzN4AZil7vrEwCKGvP2UBfRlmqfWD798QSuHzZWjyRWg7bP5mE8T9/OVVBu0zC0AxbO8Q0PSWtdMpmdMi9w2zWM2PPcAbvKSuTt2fYPivBy1JMm0eVG8P8XbUtupH6X4FVD9I5ggqx6qwfjFpjmF9qshgNlpudqwzRGOand3h47y3rpNOt6rWhb1C6XZRF9KcM8J0aqj0DRfZORdLzDZh0sQlFfp5OyVLaNWHnlHumI1Fd112NS1mjJk6R8WXP1tMnTifK7kNANYLaWCOqAJgkeBv9IqAo5nPhPaZ8udjf5RLvz9aBmNloikEZgJHGkBnb/O/rJPpOvkwAbFkfApKGPVP4eqHpzvdL1JrajWF7PWHTqX9btQXLhUU2mPekLOC8D73MM5xjB6FBlwbWsgGGqipmQM5gMmmWJZhhJ8vgdd5eiPp/vwPoAHk7OJg0lgfmtddaaqDAG2uWttv+e/a+ugXnGUuN29vRsOAKLAuqaQfB5lR1yS85AMyurXRs49sCVufFVVJ/ust0xz48okyC/c7tHbY8w8bnjtQzZqk27cthD8U5kPJycs8mqCqoCKhmvRZlEoBR93RddzgFdF0eNGwF0PHtj/X3xFSbvl11eSrPsPHdXz7bhD9+skFacitg2TrO2p4BvLC53XznLc8wGxBavxeD68Tt/L7SRTcUawCe7hnkO1+0X4xeYzjAe4aNbYXUdbl6huFsyLOBjWirXHSZ02srML6ceWgltTSDUyZS+tCXtnRgXW/EWqpTWK1HxHx5eGNYsh9rnMTOWxZ0JOt7M+mQNV3HK1s78dsP12Bdb0TyvbNsOvcdYHS8p82bglm1FdiNyw+dCZl4hkOqAg1Wbt7vbj8xb3W0MmCtUMVrI/n+n5VRheLQT0Y1zczbLTeGB82Ogu9E6j1SEbJzy6e901yQBHHAIgbQ7ZjyhrNsBFEum0RC6MhZoE0kqeEfa+0BXqx2O+UguuUZzlkmIZ9yFzXDQKrTTpVX5nESjep1vRF8nDLsMzWGHTIJZJ/9xY0kZ8jbtnMPfyM3YNeYZljljRt5MBYbjEQ1TRrbYHmGOWNY5QdlmXmGLc2w525Fgw0A/9+EemlGHP49Z3Wefx5faazDhAprgC47RiWTJApOEDcjySuArjeesD3/IXmGU/+LRa7mvOWq6szY1BNPQIMz7zogH1xZMgm5Z7ihLITz5m+HH8ydkrovRv+6qX8QbYMx6fskW2HyzlVb8OrWbebggX1jyiRcPMP80dkAhd9XHvinmO9DuoD44SKTGJV5hgG7Z9iSSRTu/G6egqF6hpkxXBlU0SPYjmUBFb9ZsCP+u9rovGNJDc9ubEMFt1RnJiQ0HV2xBF5u6sTLTZ1m0EV1KODZ6LPGI91UP3se4kvWITGGveQMXvy7qROvpIJnlnf02pLSA0ZjEOYCkYzjsobCQAEwq7YSsyQelXQ4g7ec+zCPKGtM0+WEHgpfm9SAB1JLMYdUpydWLGNFMICYoE+/70tjUZeygIqwqtj0lAMJDS0Rw8DiZRL14RAA52AEsDxQvOEYUhUMJnPzQIozDWKu6ylV5fj17jNRHgjgzZYuW2fNe3IVyD1gDLarw3MES1aRs0wCLgu8cDKJMpkxnJpl0HXddeVEtvjB/DHVUg+XDFnOdE33py1NcB227Zxcu2Dz9sMYwMpkEmKHLMsDy1je0YueeAJjy0I2QygsvBehlPSEGeEyzHiUErWGF04eg/EVYdtiTzwyzzD/3rB27PQdpkr1woA95zAjoLgHXpeZAXQp7yf3vAcSSVt7MCTNMJNJCNtrQgG0DbJyOj3DbPZVJpOQxc9IZRJCj8vkJUY2CZgpKwGjroqzEuweyGaJ4oKhrEo9w/LZ8LU9Eew+ttZ1OWYGa1OCipL2GZBMosSxe4YLL5MQO4sDJjYAEDzDOSws0B1nxrCzAapMXTM/onujpQsvbulIe1zeG5DUdZuRuD7lWS0LqJ4VqkwykpSNGtnLI75DMs+wbKotk5GoWxQ5Q9cljZ05heSUSWRLJnmGWUdjGsN57FB3qq8yp0n5htdmDMOSKFR6GOZBRbEZvAyWdoiXSTR4eIbZPeGDQkMunr5McAuC46kOBRFUFcfzsXmGFcWhi05KvCeyNIvMM5zraky6i+HF7rdDM5zyJFcFjew5bp40ccXFTL050jzkaX7bPBDFtR+tM9sNN6zA5syMYTObhM0zzAwBwTPMfRYNGObp3xaN29rpkHDcTJajLUbfkg1lARV7jat1LV8ojWeY3d+ZNRU2DzFPteQ9aCgLIapppvOGRwygSwgDF7+ySbBfigYlP7MVUJyOK9YeBVXF1t8lNF36fg1I3nm3V4TVN+Y4AIB327odS6abfaSHnM/yDCuOc7IxrPjc309JURyZJzj9NmA57cIBNe26AWJb8sN5Uzz3Lxaj1xhOvaA9sQQ+TwVfFSOALqgouGrv2Th42jgAgmd4CNkkZDIJds2Zemh5+A5mMKnZftucenHF1XpErPM6p2t43DpTWQaBTFfgE0nnZWWaUn6vjf2DWNcbcfUoZIPMEHPbh029yabl/EJRFBy5XSMay8OYYVu6ldMHsuk23ZmShyeQymggsjZl/PDyAcMzLEd2tWHTuLFvX90zgJebvAd16WQStvMI9zoueIbHldvLzRvsbE/RMzzIdeT84iTZoMHFMxy0sklUCJ5hwDLeWYCtrus2Q5b3RA0mNfO9SldLZVOk6XS0T25oRU88kXZpbfa8xHaQ90YnbIMQo47KPcPCsbkyumXDCaiKMDNiDZKCSmappUrdGE5HWOoZzk7KJ/MMT07pZLdK5DiiZti2xHsiaXvmvPGp6zr+s7VTekwZfGYEHn6ga3iG7TuwxXtUrg4AQF/CO5NTJuk/WT1p4YzfZze149bPNtqWsmf1V9bXJXUdvfGEeW9kcRamBEnSBsaSThOb3XOWtYn9qiygpI094ss4tapMqk0vBUavMZx64djKXkChNcPG/5owbem14lcmmDIJSQPEprFYR8/rm9Lp/BZMrDf/jgjGMIvIDgcUzxRCzOPI/1Y2qHSbPuuIxvH8pnZbQyIrdiYrVpVx91YMltvUN4hI0li3XWwsVnT2ISlE6eaC2DnKjhRyeIbz+7qOKw/j5/O3w471Vto/3jPGF1k0hvnyxzVncAlgDWZ4o94tzVpAUaTT+azz+aKn31YP7l61BS9t6cS2aBxb+gfxjzXNzhy4okxCkhOVUSY8d35WQlWMWZvp3BK3nTE+kEuXXlsvl+kl5wA6Xa7LtGQSVuDeYCIJHUYqttqwNfgHgBfXtZqeMR12CVKUi6OQPUcemUwi3WC0h/OseeHmvXKXSTjzDIsLPjD4+98TS+DTbX2S1fTEAFKrzAHV0s17pVdzu4bhgswz7LVEuwyZY2Zyasn1jf3OIO1yUSbBPTt+Jhew9yWb+6N4bnMHbvl0o7ltMJl0NdYsz7Ad3jOsCjKJ8oCKL1M5wlXFfn96Jf1OWUBFf8IIuOPriZv5KDOGAaNN5QPa46l7IOs/o0kNN63YaC4SZa3oau3jlk0CMKRcYvAde+dYO8G85WWqmlYzzL9rpRxIOnqNYckLWlDNsDlacydTzfDxMyfgK411tlWmZA0QizJnjfgn26wcm+kiPnesr8b/7ToDgDE6l00HhVXVtbLvUFdlNnKxpLwzY3h5zV5r3mZPoyb5fWc0jkgiiffbul2NDt7zx1/Llv5B/OXzTYhrumn08GzqtzzDQ1EtZPJsWUdTCM2wG3zHx6YTNd1p6LGE/oDhLRSNKP5q+e/cOlO3d5Hdtw/be83ocp5IUsMdKzdjeWcv3mnrtn0n1vFsPMN858SM0R/Om4KvpeRNvLHM6ofoye/xwRhmxq0IrxlmXmIj6t0YxNSmDJneuJE959/r7StG9nFli3KeYbfZiKDQSfKkuzb27baYd65oM0hIGKzyRoWYIUSFvYOXZTIA7AbWMxvb8MDqrXhJkItpuu5ILcg+BxTF7EMGPAbfxYhH8ROZZ5i/lkzasTGphUu2q7YGj9vXVCKgKPh8mzPPc1k6zzBvDNtWQ3TWxcs/XIvLPlwjLVc81e6LToZqm2fYPiCaVVthGr0K7O1Er0TyURMKIJkyhOPJzD3DsraNlxWxd0PmOGqNxGyLWMkW3fDKoNUfT5rvXFnAkgLx5+JlErFUdg03krpuyjZLeUw4eo1hSSPvFliSD9hUzNgy92niTGUSe4yrxVEzxtsM4HKJfpd5hmUd3GDSesFlhFTFnO6KJDRpw2PIJOzbAgpw+V6zsHjOJFMzPKhpWNbeg5e2dEhf5nSdKX9bZGZzdyyBR9Y24/H1rfgv5/kHgM+39aEnGrflDOWnn/gpNkVRHLloWb5cYGie4Uy8/qZmmMkkihCEI6ZRAgzjRNSkf3f7iebf0aTm0AzznQbf+Yj3gX3m7+0v5m/H/dbavqlvEEldxzKu4xiIJ01jSZQBZaIZlpURgE2zx74JB1TMSw0CeAkPm2RkQVYMXkoxlGwSsmKbqdVEzTBYwJ+VP3VtbwSdg9b16Lr9XkU1yxh28wyHuU5SJJ0emr3f26IJzylWc5EF4V7JBtO8jt/mGXaR1cim2jf02r2UOuwrMKrc8wwqiulBXN/nrn1OajoCSmH7Fj8JSfIMK9w9zqQdCwdU/GaP7fGjHaaa28oCKravqUCz4AFl3wHyALpIQrP1GXy9zaY9jiSSpjwyJIxUqm2LYNi/44OlVeH9luX4Z+9dfyJp9wy7vCJet3OdxBiWGdWiTES2HLM5YyE5YX8iYZaPT58mk4GUqSo0eLdnSV1HfTiIsWUhjK9w5qEuFUatMRwS9GCFZu9xtThw8hj8wENMnm02iSpOpxlUFYd3i3kyZEZ2uhQ1IVVFSFURVBREki6e4YBzatvQ3qpQFKs80aSGR9e14OWmTukUSzpDwb5WvHNfHcCqbmMqq43r9LcORPH31VtxxRsrbatJ8Yn3bTmQ4XwGSR3Ykloedii1R5yil1VF5jVlkf3F9gxvX2toieePqXEsKFERDGB6yvMTTWoOzTBvyIcDcmP49B2m4n/mTnGcdyyXyJ/3JOsA3m/rwaPrWsxtfYmE2aiJgyqxXnm9X2VCB8nrSvlnxbxeYr5bwOjY+EGXzRgeUjYJiUzCI7UaYHn1euNJfCjxOtmMYU4m4eYZ9pLspJNJ8NfOv58irPQJ4XA2mUTqT/6eywLovLJJMHTJfmI2FfY5qCqmB/HZTe22gCeepOBdHm7wz5mvywFuUJAJFcGA4z7s2FAl3VdMrca/twPJpKtMIpvW8e5VW8wpf6dn2C6T4JnDGcMK7O0Xq1O1nGeZ/d0fT9pkOJNd8sV7NQtbBgbN62X3RJbKUDSGVSWV15nbj9eys2xQe6QyivTFk6aTiT3zeFJHT8xqA0Vj2Sv+KKHrCCoKfrbLdjhqu/HuF1hkRq0xrHCBJsUgoCo4cMpYszOV7pNlI8p3GkFFwb6NdZjfYOk/Wb5HmZcikjIIB5OaVG/JPHIVQRWRhKUZZm2BkjqnaF/wrykbSfPH7rRNL7tP/fDIVvLJ5E4xY6QrGncNoLFrQxWp54PtPxTPMG9MzqmtRKNk5Sb+3CFJvstCwF/+bmNq8OOdpuHQqeOkHsODpowFAHxj0hhHB8MbwHynGlRVzE15V8eUBbmpWPm18vdE03VHlHVfPCld8Qpw1isvvaOXsccbo7XhIAKK4eXkywXANgAE7JrCXD3DbDEIkQkVYcyprcSO9dV2YzgVk8BmdTqjMXzqmJq2R8EPcrpMN8+wWx5zwDB2P2zvwZL1rfIcqdw2URvJk3SZCpbJJPjVtmSaVq9sEgwdzkV4xEVnTM2wotg8iI+vazXL8sT6Ftz22Sbouj7sjWH+feP7jSA3KMiVHerkxrAVT2P87yWTyDXP8BbOYBTb+EoPz/CYspDZFypCAB2Dz5DDtPq98QRimo6xZSGcPGsiFqTkVSK8wTynttJ2jzTdmA0z9uPfAfsxtgrvlKIYsTx8ledlEvPqq3DV3rOx6xjDGO5PWIv18J5hPuaBDVRlcUA8mm6s1hdQFQRUeRxIqTBqjWHAuVxqqZGt8cMbdQFFwcHTxuHbU8ea27yuN8ItMLC8sxdregds37NGryIQQCSZNCv/pFQ6nVCqoqcTyIuCe94YTkg8ATIeWtOMrtTv2EvtNl3H6w27OI1i80AMFQEVkyvLbPoqvjwKvBv7XLJ9MPjVzr47S76YBn9N+Q6ec8OmGVYUTKkqTwUPOcszu7YSV+8zB7PrKm3Tb9+Y1GAzgPnUbSFVwfdnT8KFu89EXThkemXcNJb8PZHVkv540lXPmpVMwmOgzP9MVRTUh0P2QR37Du6e1SF5hl1mEX4wbwrm1VeZsQHRZNLMM8yM11XdA4hrOsZw2TB0OD3Dmm5ok93qXX1ZEBNcpjzjuo7H1rXgnbZu6Qp1Sd3SPYuDGdtxmDGckUzC+Cy+s6wuOGUSzs5b1+2SKUBMLWhfIpz3IG7qH8TbKUnW+t4INvYPYkt/FIlhbgzzWY94/DCG68tCUg8pu18ru/uR1HXbu+Ilk8h1gCkatHy7IF6eoiimtFHTdWm6Sz5DDpNJ3L96KwaTGiqDAewypsb1vvEDvYCiYEqV/f6s7hkw3yHGF9398CKY6pe9sknwA2ZDM2zA2q+4pttkIKZnWGXGsvzel9Jy5OkobWswz8hyoQ5nTpxl6TZZJbdF7nt4cyIJe+ewotPuPWKNH/MMsxE5Wx6YdZrp2saQqtgaN94Ty7a7NWp7jas1/36vzZjqZaV28/Lxh9rIaQITuo6QqqIyGEBcs9JMdXIevnhqHx52PxUMLYCO96y5vYS8XllMul4oMvHQyuA7z29PHeepGQ6qqtlplKmqpxfcJpPQAdEk7kskHVprhmhUeQ1mZJ0cS6cmevEbykLoT1gDRF6/KjuOArkxlgm6Ll+OmYflSeYX3Qiqqq0t2G+KNUhO6rrNaDVSq6VmRlzqnQoFO3GzTjy2FcIS8gEJazdaJTKJt1u78FFHj9kOOIxhSTaJdJphRwCdi0xC9DSKKzCyYytQHCstspkndoxPu/pMr9hw5sLdZ+LC3WfatmUrk3Bjh3qnd5h3qLzb2m33DHvIJMRnnOlKiGJbxr8nrP07cdZEnDpnMgArqDqhOfsHAKjnHB1iPvJ07SY/0NtjnH0hlMqgiv+2dDmyVtyfWizJjZpw0OEZZqfh6ybrk/oSSSuANnV9Lzd12ma/RM+xm2fYLT1iKTK6jWHOU3oI50EdrvD5+1jl46c5vWQhg0n7CyZOpbLpjYrUsr0sPRJbV50ZO+mmQQKq4uqJZY2em9dsJ0nDyV7KdAtSdEbj+Kiz17YtpCpmUOFAwvCG8cb5YCLpaLwmpbxhwSFO+djz98qPE3TR6xWSTIxSGaLng38+dvmHqJ1W8NXx9baBj/28nEzCkWfAMICZsSjmj83GMyy7vmNmTMDBU8fiu9ygE7CmRbeZsxXGdlVxeoYDimIMwHINoENmg7DygDFo5c9SxcUMTKy2PE6abu/MVnX1p6b33Z+zqijY2cUYtq3uJnSS7N2uCwdRFQxIPcPPb+rAC5s7rIh5h2fY6eHi7zk/gAuqRm3wyibB0HTdoSV25BlO3fyErqMuHLKtXMl+y+7lZ9v6UgF0pW8IeFETCjocKZZneGjt0i6SOsTX7y+6+23ZhSIJzfaMvHLWu02+iEay2Mbxhht7druOqcG8VP/D6kBc0xz9jqoYxidDXKkyXdwHG+hNqSzD/DF2Y3jnhmokdF2ab1+Eb9tqQ4GUZ9hC5rFl7YPMM7ypfxCvN2/jfm//3s0YtozutEUuOsOgiPmD9wx/fdKYIpbEf8yRO9dYyValY4i6I7dpDzaAYJIDyzNsnC9dhQoqzmV6Gcw762YMyzpmtqurZzj1P2/kTksFgoVVxbwn77Z2499bOm2dZFzTHSNa1pjlaMtIcTNuSkEm4cYklwAQhnjfeKNQkXjueA6ZNg7fmCx/H8MOz7CdvkTC7FAGBGNYrFdeBr2sXJMry3DApDEObw/zFLPAFWaiK3DKSapDAcfsSDZoemb6+PKgyqVWM37BOrvacNB27ZpuaWW3r6nAxv5BNA1EDc+wiyGnKtbAUMRuvAjPgJueHVcewrZo3JHyKapp6IolzHfXqRnmA+hSxjDTDMMet8A+i7fbLYBOzDXsyDOc+sw8+3tyyxjHdc1MowUAbYNxdMcTwzatmhfMIHSrH5kysbIMR8+wB1Xx7cO63ohZN8MpRwp7dgFFsWU+EeuJuDohI53OWJEYwzz8yoNiG1IVDNgMZHEVynROG1Z3ZBIkMxZAskiMOBCYUW0N0iqDgZRn2Dlw4D3D4YCKsKqkNMPGNjeZl6kZlqwqG5fM3AyHAWFp9bAFRrZKVilQEwrYplpyQdbXeskkMoUdoytmRO2zlzZkyiTST+G6wRoCt9RMMgPFayUdAKY1zI55yNSx2CnldWQyCQB4ZWsnXtnaaftpXNMlHk7/6syJsybi6xMbXI2ykNBQlRK14SDO4FIlibD7yq7B7b5lq4vnH8eKbX0OeU9f3JIrpPMMe+rBhfLWh4Ouz2D71IzM6lQyfi/PcHUwgKBgDHfHErbc2QCwvKPXljKOoUPPaEaiPKCm7oOlz2Veqrim2a6dLa+uAPgmNwgxZBLya2aLoswf4/Ts8UaJwxjWrGnTsoAKHfZBiizVmpdMIiF4hhXFbsyoinEdYgBdn2TZel13tj2unuHUfvy7G9d0s/yivGKkwWfVGCrjJcHDjJimm8u414SCxuqnqefP6jOrD6JDx549wdouS4HmhuzyzAGRrjvka5VC1oyJFWHbrF66GTVWf1hb89UJ9ZhWVY4fzZtiZiCKSN6RuLBtVq19FVFxQOhmpFaFAujj8gy7tXmO1Gup83/e1YdLP1hjtl3s2WSyOEuxKf0S5hE/jMN8cP5uM/HL1AIXuSKbtqiUGP/7T6h3RIzz0bAiFZygviygoiKgYu9xtaa+KV2779UxsOTdbpphvmNm3ie2p1uj/Hl3P17a0oHPuwzZR0hVsXOqrKGAIvWWs0aW6YoZi+dMMo07PxzDu46pwSGpZbhl8AZZOo9CPjlh+wn4wdzJju0sZ6SsbLuMqcaCCfU4a8dpAJxG4fdmT8Lh0xuHXLaPBekL71GMpKQv/9m6Dc9ubHNml/Bw74sDL1m2D8bEijBCqmLmTOX1q+J1hwIqQopiq+N/+nQj7vuyyZYS6R9rm20p4xhsYYl0lAcCSKSm/dmVbJfyFum6/X1hMolwKvcr8/rLpoEZbPN3t5+IU+ZMsn3HS0DEjpsZm0zXDNglC/JUi/bPdpkEUtck79xZdgn+WW+LxvFhey8aykM2o0GHTCbBHws2mQRgrycJzcrKMae2ynxOI9EYZvfBD2M4XVvalxpQ1YSD0AG809ptfE7N0AwmNHy2rc82E2Rk8rCOwZ7/Y+uacdOKjRmXTfbs+AGRaOSFVRV9nKZXVRQs5t6PdO34t1JyzT3GGg6bymAAZ+80DdvXVpp1TRxgAs73ZlrqXec17vYAOvn1VQeDtjzD5S5GLGvjTM9wqt6zWJ43UpIK9ky8ss+UCkNzPw5zmPd1XLl7erNiMJQUWrNrK7C6JyJdzEM2OqsMBrBTQxU+bLeMiu1rKvFB1OmVAuwDiLKAkT/4mJkTzG2BDIJ73Ihqmk1wz/4eUxbCCdtPsDUkrNNJl00imtTwcpPl8Q2pCmY3VGN8RRjTqyqkA4TxFWH0xiOO8s6rq8KqLsP751Sr+g9/TW7TVYVg97Fy/W5lMICzd5yGesngKaAoOIwzdpmHgTXObnrTbPF6CjqMxvi5zcaypLy+E/DO6OAwhj2SxbOFLswAutR2Bc7OL6QoSKqq7dzMg90VjWNSZZltOjOa1GzPnpc9eMEGuJGkZdDuO74OLYNR7D2uzjbQ0nQdAwkNlUHjfZ5YEcbWgah0Gpi/Zvb/xAq7ZCbh4Rk2Z3IUFUHVuFPGtGpqCeksPcOObBLCrTE8w3av2FstXUjoOo6eNxlftnSb22UyCXEFuhBnCAH2NnUwaQUW15cFsV1NBdb1RnLWh5cypmbYZ0NfFhcCANOrytEQDmI9t405Ldb0RvDPdS2o42ZTE0LGBfY3389lglwmwQfQCe+3qmC3sTX4qKMHh6dy6vIOl3Qe0v3G16feT3cjXOYZjiZ1qDDanvHlYUyuLMP/7TqDm7GVp1YTz1MVCiCpW++tq2c49T/Lxx7VmEzJgJ2KtW1eEs1SYVQbw3uOrUVtKOjZ0Q03vj97MtoGY5hSZS19efaO02yp00R2G1NjayTEwQFvWPNBeDIDLV3b6NV4RpNWcER1KICuVJDeSbMmYkpVObpjfHAbM4adx5VpBBlhVUUooOJnu2wHQJ6WZnx5GGtSU3Mh23G57AAF6N9KWTPMmMYtserFrmOq0RqJYTfJtHomTKksw5aBqGdebhm8VGJDbwQTK8L4+oxGPLGqCTME45hH7LQa0wyYy1IBa4DlpZR5hoOqgqBuDPRYDmAGkwnxmvruWAK98QQ29Q3iG5PHuC7HLMKM4WhSQ5maWoY9oOK4mUbwX7cgk+hPJDC5stwsI0PW2RtLlVvbq4QgId4IGRBkLJYRqdiMCoZsRitbzTCPzDPM2pWdx9ViS4cVKCyTSTjyDCvWzBi7DkZ/IonmlHe/PKCiIRzEOpdrGu746Rnmj/C92fZZhrl1lVjTE8H35kzCf7Zus33HAtU6B41+gV/UJq7pNpnE5v5BzHXJa+yFVCbBNMOSbEPhgIracBA/SfUvgN2BlElWILd7ahrDCWd9imkaFEXBtMoynL2TczZOhQLpohuiMRy0FucxjiEviyMPMVvtUkhlyJYqrypRSSrPqDaGA6piRoiOFMIB1WYIA3KD5aApY/DSlk7sUF/lEOtP435/8qxJtpWCRM+wiOjVrhO0z/xIO6zag+limpVTsipoGcPsN6IXBuBHuHzWjIDNCKoOBsypNjFVlGzEOo6bEhcbJva5EL4e/npLTTOcLRMqyhwdXTacvsNUdMUSGackKw8YAWQ9MT5RPDCnrgrfmjkBu1VVeHpYxcCg7ardDWfAyPbRrRnn4jXD4iAmyKXnSur2AE1m5PF1tysWxz1fNAEwll03Up55FgWAPYuMLBUbX7f6E0kkdWvlrZBN42j8tiKgYvGcydjSP4h/bWq3STVEg0BMhWX/LqWpVS397bOb2nHg5DGYXFVuLirAkxQGDrGkbg54ZdkkeFQ4NcP9iaSRezkUtN0nTSqT4Ixh7n7IZBKtkZgpbSkPqBgUDIWRxL7j6zCuPOTL9LdXZp2TZk1CQtNRFQo48uRbqyo6NcBxze4ZvueLJlyx9+ysyyZzqrC2ISGREclmKPnZx6FoZ9lvxcxPgJUb3K1tUBTYskmwftcpk0ilV0vdU7dFd9h9EWUSbG82OO1PGe6VodL3DA/vHpbImYWTx+KyPWdhcmUZAoqCH3LLQk/ljOGAan9heM+w7EURX8YzhSAr3rgUMxIYnmHj5eG9TVYQlvVbpkViLzhvVIiNZgPnTRQbI5kxzBv54v6s4S6MMWwfOIxmwgEV4yvCjsEWf1u24wZ9bIDXNmhPQzQntdpdOqkBP2j6/uxJZgpBr/KxDpj3Uko9w8JUO8MM/OM0h/YlnFne4AxkEvw7INmdf6fZMqvMsOEHAqz+B1UFM2oqzMGw2In+dq9ZZkAlL3UQvVjMQAlxmSo+7+rHnz7bBE3X8a9N7Y6yGvIFftCsoUz9/+3de3xU5Z0/8M85c89lcpvJlZAEBASDIOKlirJraAGVRlHXUpUf4lq2KhQv/fnD4mpbxbJQWKQvtnbxsqLVvnhZSL2yRZaVVlBQiahEQIhySwgkIZdJZjIz5/fHzDk5czKT6ySTmfN5/6Mkk8l5nsxzzvc85/t8HxGi0Pl+8g2E9u/qkwLHqu7qVq8PVoMIgxi6g1iD2xsSWBWlWDU5w4KyScTo4FOFSMGNxWBQbUiQeMHw2LRkzC50RmVHsYJkC65wpoVcg64vdOCGQgcsBlG5Fmj3BZA3lwkfDPu7LKg7obnRKi/KxpPXjO/22MKtX+ksrRY+Z1grZFJjAOdxebyEmxl2B2uKR0qxFAVBmc11+/zYfvIcgPAL6IDOpyeRnkj6tTPDfnlmOPB9udsSLmd4586d+O1vfwuPx4Nx48ZhxYoVSEkJfdz5m9/8Bu+99x7S0tIAACUlJfj3f//3qB8wRY96tvECexL+36QStPl8MBtElGak4IuGli4Lh0Ie+YQZKKNSk7C3rglGQcDPJxV3KUOlDlrzkiz4VnWC8vj8+NPRGgAI2eq0c+WyiLvH5uPFQ6eUwRou9ylw0uwMgjIsRhxvlY9ZOzPctQ3qY4xlEKoOSmKZMzycaE/25UXZ2FJ9BkAgD1n+POUGP1tvfVenvNYkCijuZVqHSej+pk9LDnzWHKhWbXseZmZYFGD0B9pwrLkt5NGtfOFQLwRqVBW679xeuefjV+fxhnu5erzIq+vlmeFwaRJyAC5/DrV/B5MoKucT9cxVpPJ26psCWXfpBO3BBX5A4MJrFsWQvNB9dYHc3yLN39cbnC3zqFM3OnzKRV87k/f34C5yt5XkoFST0iMKwMTMVFgMIkbZbWF/XmY1dPaHNiijUKIgoFxTXi3cdsXaSQ75s6jdhAIIXEu0n1Ft7fzLnHbkpNpQ1941jzg/yYJTLneXJ5tAZ3ArIcyagB6uFwObGZZzhru2V84jjrRYU0DnbG6L6ubBIIZOGctBq/x+kUurIeT77crMcDBNIjghEK5qy3DVYzBcX1+PZcuW4bXXXkNxcTFWrVqF1atX48knnwx53WeffYY1a9ZgypQpg3WsNMjsZiPswY/EP43KxfUdXqRrcjTVJ6RwQcLFmSlwWguRY7OE3XlJ/TXtVpzNHT6caHUHf0/n4FFfNMekJWO03YZvmtrQ4fd35gyrg2HNSVO9PWaXHeXC3smr3yt0EA9laBxaTYLBMND1ycNUhx05NjMa3N6Qv3thshUf4XzIa0el2nq9SYD6M9Cb2S85F7DB7UUDvMqxanPujKryXJuOnMaMgiwICFxY5dlNdZqEOk9emf3pxfGPticpqQRhFwGFyQVMCd64hqZJdC7AATpvUsPlEso3kepd57pUk1BVfdCORW0pPLV2nx/yMk6PT0KSUYTbLyg5w3JAPzEjdKMCbzC/Wb1TncvrU7ajjjSucpMsMIliyKN2i0GEKITuvBcpuLEGa7ZS9GhnhuVzd7iZYbdfglnzp9FWnuluofpPLhyBBk9HyFNFmXzdC/cZ7nEzogHMpHeXMyzXHo6UkqyOedWz3YFzQ+hnXE377ySjAS7VDnVWQ+AJjfw0S25eg9uLv548h4ONrUgyigMuFTsUejyv/u1vf8PEiRNRXFwMAJg3bx7efPPNkBXPHo8HX331FTZu3Ig5c+Zg8eLFOHXq1KAdNA0+oyh0CYSB0BNSuNJ0giAgP9kacQtSg2ZmWO10W2dpKXUwoj2ByMFto9vbWU0iJJUj9LiSQ2azQ99LG+jMH5OnmWUWNa/XtmjwGITO4DtW2zEPN9oLmCAIGJliw6Ss1JC/c7hNQS6JUBUjHPXnrzfBZ9jFpGHTJMSQz9eXDS2qkkmBy5V6hrTeo5kZRu+Cc4tBVGaow81uGYSuN4VjgvWSQ3cIDM4MB79UmGLFvNG5uMyZ1uU9w61271JNQrXwTDszrE4PucwZ+FvJr1D3iTwzbBAEpeya1x9YTa8973glfyBNQvU+fqhSQiKcp+Svq3tJWzVD3WYti2pmmKJDO7to7WFmWJvv2xTmdZGYDSJywvy9AeBShx0XZ6bgJxeOCPP56f4xwEBSZuQb+XAzw/ITjd6kSahTjrTVU0ZqnqwYBCFkY5nMYOWgzhx9AXaTEec7vMq/Zf9zqh5tPj+uy88a8E6FQ6HHcL2mpga5uZ3bj+bm5qKlpQWtra1KqkRtbS2uvPJKLF26FGPGjMHzzz+P++67D1u2bOn2xJ2RkQRjjKbPnc7Unl+UoKLV9vyM5D6/l/1s52zd5GIn7rOakGE14ekPv0atKhhOS7UCwS3Xc7PtITWGCxpb8MnZJkg2EyzBGR57igUIlmXNTLUCqlkAZ0YScCL4XsHjVR/3naWFqGlxY+64fJgMIr5RPU7LdaQAR6D8TMr5zu8NxWfIHCzZ5exHX/ckHseAQbN9r7oNFrsV+Oo4ClKsGJljB77sfN2asolIVd3c9dR2r63ztY7MZDh7WGibcfY8UBdajjDbkQKrJ3TWKi3FArPXBwSzN9S1hf0GAU5nKizNLuVrZ9o722tMCqQsWczGXv3tri1y4J1vanF5YVaX17eqjivJZMDSyy5ASbCNGe2dx5STFTjHmwwG5T1ysiNslR3Mzz7W3KZ8rdHjRVW7G9cE62mbXIE0lsz0JLg8oRf1dlNgjN96YQGSTQbsrWtCutWEhvYOnIMfTa52XDvSgQ6/hGSrCS6/H3XtHuyqb4IkBjYIkY9Rnu8yW00wmwyQ2j1wOlNRHdzcJCeY5pCdFb66SY4jFZmahcWj8tPDXs9+NGEEDp5tRuWZznNbniMVUktnPwzXsTZcjyscn80EHOz8d64jBTgU/rWWFAtSeqg84wxzLeitxbmBm8HjTa6Qr1tt5rDvJ2+0k5pq7Xeft5pCUxLU5LRBm9UU9v1NRgPQ4YXTmYoGVchlNRpCzm1OADe73NgSXLSbl23HvxRk4CfvfgYAyE614USrG4IoKL/HkWzBkYZW1ItAkuq8OXtUDv6x2ImMbmq0Dyc9BsP+YMkOLVEV6RcWFuI///M/lX/fc8892LBhA06cOIHCwsKI793Q4Ir4vcHkdKairq5v9QYTRTTbLnq8fX4vj2pBU11dM0YYDHC1Bb6mfvzT3NJ5Qa4/1xJyx2kOvu7buia4gsGRu021UEozA2BQ5V02NbiQnmcOOe4JNism2KxorA9cKFMkCZdkpeLizFS4mzuPo66uGa5WT8i/B5s8k97e4kadGL3fF69jQF0doiw/s0sblpYWwW42oO18Zy76uLQktDe1ox2Br/Wm7c2q7btN7T1/zhvCVEGor2/tkgfraevosluU8jvbOlBX14yGps4gyqX6LJ9pCHw+vR29G3ffy0hFzlgDRidZu7zenpGk/P+SCSOR0uFXXuNSjb3m84Fj8fv9Pf5ObX6w7OUD38HuD+Zh1gdvJts60O4OXdxYFaz5K7m9KEmyYnpuBoyigPdP1WPzwZOQADiDM9qCz69cvN79phYOqwkGoXNMOq1mnGn3wO/2QvIG6pfX1TXjs+BmAM7grHnL+TaE09zogi/YD5dkpSLdbMLZsy1hX3txsg0dbR2oVKXluJrakB28Rs4a4RiWYy3ezgEuTTqEq6nrmJN9caoB47u5gZ2Qnoy6uuYB90FLe+jNeavLE/b97p9QiI/OnMcFZnO/f19z8MZZW/GkIMmCNp8f9e4ONEX4/X6fH16/hDNnmlAXDOCLU20oCfZDCNU5tq3RhXbVtdcfvIH1+lTni+D1dfVHh5UnOgCQJYrwNrtRp7qGxlp3NyI9BsN5eXmorKxU/l1bW4u0tDQkJXWeTKuqqlBVVYWbbrpJ+ZokSTCZhtdmFhRddlPf84DCPcZJMhpQXpSNM21u7A7OrqjLEWl/Rs4/anR7O1end5PakGXpvDPtzQIGURBw26jc4O8IvWDLZde0GzgMFrld4XKb9Uj9VLKsIKvL97PD1AzvT751X7fCDpeXKyKwKM1mEJXUAaMowCCFf1omz/jIFzu7yRiydaz8Hr2pJiEf05gItVUNqj6xa9Io1H3cmS7Q8+/sqYY40Hkzk2Y2dtkWV17tn2wMpBjMLHQo27rKl/8m1Sr3QJpWYHw2uL0hi27nj83Hx2fO48rsdFSdd8EvBa5J1cFZ65LUrgvgfn5xMV4+fApn2jwhX5fPBd3R1lG1GgLH9/TUC6JScYECO879nzH56PBLXR7na31Y2xhx4WtZfiam52VG5Zi01xMpTPUJIFBa8odF2WG/1/vfFTn10GE1od7dEXZ3OiCwd8AplxunXG7l2loaYeMjdbqZ/Nm9MjsNSUYDGoLXQ3WpwjSzEaeCgbq6Qs5w3eE3kh7P8tOmTUNlZSWqq6sBAK+//jrKyspC30QU8fTTT+P48eMAgD/+8Y8YN25cSHoFJZ6UftQO7IhQ3/CK7DTMKcpWqjt0+CUsGJuPm4u7nkCUnGFPh1LCJaTOsGYQplmM+PHoXPxjfmafi8Rr3+uijGT8eHTugGrm9oVSVo75hwD6t7Vtf/ou2WjA5c40zBvdu3PYjIIszBqRhYtUNbmF4AKb/zupRPmaQVVSDEBIjW+3EgwH/qvd/KZNKR/Wx8aEYRQFTMtJxz+NyunyvZCnMJoFdD29ZyRHm1w41+5RAmC72dglkKgJpkmpc/61AY28WMpsEEO+55OkkN+faTFhVqEDZoOoXOR8ElDd0oZ0s1FZD6E+hgyLCXOLc3BrSU6fV/0nG0NvKORccQbC0TUuPRmlmSmwm41d8/E1fX1Ula6jXnKRZTVFZbMQoOsalMEsHKL9TGYEb2LTzEZlzLgibK4lL/o80uQKu2GMWrhz7A+LsjGjIEs5N6gnp8tVQX6tKo0tHsqpqfU44rOysvDMM89gyZIlmD17Ng4dOoRHH30UBw4cQHl5OQBg7NixWL58OX76059i9uzZ2L59O9asWTPoB0+xIV/wtTNKveFWSrZEKkkUGEB+SBiblhx2oY7dbIQAoMHjVUq4qE+ESZqTpEEQUJqZiu+HmUnsSbgFd6WZqUNWKkY+AXJlekBftioPV5+6twRBwE3F2ZiY2bv8viSjAdfmZSJbtehG/rXhag3L1Av93JqZYW1Zw7PBFKNoPSW4fqQz7Fbb6llg+Vh7E9Sp/zYGQVAW5AHA+6fq8cKhkzjX3oEkowEmUewSvMglyNQ1krU3o/KmFiax6/x4Txf3mjY3XF5/yFMd7WejMMWKSxy9X2gp05Zo7MvnlPrHrPkMaJ8KqdN2knsoCdpfVoOISZmpyt9/VGpSDz/Rf9rP9w+LsnFNbgbmFDmVSjrhKk0AnU9x3T6/suFGpPEi36BPzup67pN/RD0zbDcbcUNwTUCNat1PuLKlw1mvopnp06dj+vTpIV9LT09HRUWF8u/y8nIlOKbENm90HiSp68rt3vD0UL9w/ph8vPXdGczoJnA1igJSTUblkSfQGZibRAFW1Ynv/gmRc9Z7QxAEJBsNYR+/DwV5FpF1hgP68pEzCgI6IKH/67f7Tr1ddLjUAr/mMar60b7bH9hFSg6GM1Uzw1aDiGPBhXWDvZuT+qNmEAQYhL7vzrTowhH4ptmFw6oFRg3B3MIRyYEbAG3uo0wd7I9MseK6/Ey4fX5lxbz2NbJIs31yMPxN8FjUwfBA6r6qxdssWCIIPHkJ7GIqIrChzinVgtSzqlnKJKNBqSYRzadsgiDg9tG58EsSzrZ39Lht+0BYDKKyMBQIXPNmB4NQeXIm3OI6oHOyyOuXlCdPkW4K0i0m/GLyqAibagVnhjVfzwne1KuHdLylSQz/4m807IiC0O+Cu+7gQIw0u5VtM2PhuBFhv6eWbgnNOSxJteGmomyMtttCZta0W1P3x7LJJUNaX1jNahRhEFhnWNab3FWZSRTQ5uu609tgUgfD4SYHfZIUcsFK0eTde/yduzBOzEjBmTYPrspJx19PnkNVsBLCYD+V0PbxJVl2ZPXxIp9iMkQ8zpHBra3t5sD3R9ttqHV5lC3T1RdhURAwoyALn54NrdRhCnOhjpSzLMfIR4MLE4tVwXB/bujDUd+sLi0tisp7Us/kWc7xGcn4fkEWLnXYsebAtwBCAzb1+XMw1l+IgjDoEyaiIMCqWn+gntlN7eEGWdn1UnWz3d0GIckR3i8teL6SS6zJcsO0vT8pbbHEYJiG1LTcDBxsbMXMEY4BvY92kZwoAJdnB1Iq5EU20SrNG8tHnrMLHWh0e6N20Y53fflTBPLIfV1qaQ4m9UUi3OfGJwGu4KPMJKOhS959YEvywMUq2WTALSWBnN5RqbbOYHiQnxJon0LMLemaV9yTFJOhy8ySw2pCo9ur1C0dmWLDv4wfgVybBS98fVIJhsPN3GnfyxJmPESa5ZX/DnL5qcweSm71hxCcQU8zm2L2FEmPRiRbcKLVjTkjsyEKQsQbsBkFWXjh0EkA8V2zPclo6FyMqzq/THHYcaSpDVflpIf9OfUW8J4eZoa7c3VuOnyShKnO0FSiFJMRKUaDMoZ/Vjqyz+8dawyGaUiVpNqissJa+4hVPZsl50/F251pODk2S8Ti73rUlxsTOaiLsMB7UGi3H+/8ugHNHT6YRAHj05Pxcd15/ENeBi5MTw6pNtHm9cPj90NA6MVulGo2M9KsTbQUpVhxTW46Loqw2rw3jMFNMdSmZNlxbV5GyN9QniXOtJjwXWs7zKIQ9m+sDZDNBhGj7En4+nxnGkZPaRJtXl/E94+GJ6dcMLRbVBLmj8mHT+pMk0syGvDAhEK89V0dqoPVSf5pVA4uSOvM5Y3np2w2owgEM0FCt00Xu13ULZ9LfL2cGY7EJIphq/gAgV0bjzS5IABxec1iMExDLhorrJ02c8hqYfVbmkQRaSZj2J23KP4VJltRkNzzyfZHo3Lx5+paJa9uKEQKtBaOK8Du2kZc7kyD2SBi2eQSpBgNEAQBj08Zjd21jXjzuzocb22H1y8FFoip3is3yQKrQUS7zz/oaRKCIGB2obNfP/vj0XnwSsEScJqukLczDicjmIYRqRyWtcu2twKmOtKRZ7Ng24mzOOlydxMMB/7b5vOHXdRz5wV5Ublx5tOboadNMwKA/GQrilJsSjCs/czF8/oL9djvS767/Nns8Esw+uU0i+j2Q67NjCNNrqhV6hhqjBYoLs0e4UCqyYDtJ+sBdD3hLS4d2a87Xxr+ftrLRZFOmxmLxg9sAWV/3D4qN2RzECAwU3JTcWe6gXYGeUxw5urweRc8fqnL9qWiIKAk1YaDja3KNsvDUWlm52zyGHsSTKKgzETZulldnhm8cY20uEkbq5pEEYIg4IK0JOw9a8JJlzukZJ2aqJoVCzcrOGEAM+A0PKnLEmpzhOO5Mo/6ZrG7ut5aJtUYaAwuZO1PadTu5AYX0cXrE1kGwxSXzAYR1+VnKcGw1lCVPiPSmhSmJFFPsiwmpJuN+CK4FXi4y8k/5mUizWxEXi9mxYcDoyji3nEjsOFgoP58pFlfIFDjt7vXaJ/yqDcXyAjWHY80I6W+UY7nWUHqPYeqLKFcKuyRi4vR6O7ocqMZT9TXtb7E9AZVzvBplxvpZmPUqz3Ii+jiNRiO308FEVGCEAQBF6jq8oZLcx6RYsUPi7Lj6mJjMqgD0cgXX3lRW6RgNcVkxGOTS3BdfmDnMHV5tAyLXFYx/M+q10tx8xp9UFc/kW+kMi0mjLIPXh3goWALsztcb8izyA2eDrR4fSH1zaPFaTNDRN9mrIcTzgxTXPuHvAyc02yZTBSPxqQlYV+whNht/ajgMByp0xLSu8nht5uNmOqwd7vNeYrJiLL8TFyXnxky2yvPKvdqZjiOH5FT7yUbDUgyisixWRJqF8D+VpIJVDsRlI17BiMYNokixqYnx9XNuhqDYYprPxhgiTai4WK0ataqP7ugDUfJRgPMooCiFJsStIYjCkKvSrgJQted50al2nBVTjouCbObHhD62JZpEvogCAKWTR6VcMU9BpLaYBQF+ILbPOYOUrWH+WPyB+V9hwKDYSKiYSDJaMCPR+cpm1EkArNBxGOTRw3qCnOjKOLGkZGrX6h/NYNh/YjXGcrudLcItSdGQZCrsiF/EGaG4x2DYSKiYUJdjSFRxDpPNzRNgsEwxa+BVJKRb0gtooh0C0M/LZ4ZiIgoYTFNghKFdYAzwwCQm2SO6a6qwxXPDERElLDU1STs3IiH4thASobKM8ODsXguETAYJiKihKWeBeOulBTPbAN4siHPDDMYDo9nBiIiSljqYNgeZvteonhhFEXcPTYf6ebIlVki/yyD4e7wzEBERAlLnSbBmWGKd2PSkvv1c3aTEVaDqOzIR6F4ZiAiooSlXkDX3ZbQRImsvDgb7V5/xJ0a9Y7BMBERJSx1mkQi7UZG1BdJRsOAFuAlOt4iEBFRwpIkKdaHQETDHINhIiJKWC1eX6wPgYiGOQbDRESUsFo7AsGweRC3hCai+MacYSIiSljTcjNwpMmF8qLsWB8KEQ1TDIaJiChh2c1GLCktivVhENEwxjQJIiIiItItBsNEREREpFsMhomIiIhItxgMExEREZFuMRgmIiIiIt1iMExEREREusVgmIiIiIh0i8EwEREREekWg2EiIiIi0i0Gw0RERESkWwyGiYiIiEi3GAwTERERkW4xGCYiIiIi3epVMLxz507MmTMHM2fOxJIlS9DS0tKv1xARERERDSc9BsP19fVYtmwZ1q9fj23btqGwsBCrV6/u82uIiIiIiIYbY08v+Nvf/oaJEyeiuLgYADBv3jyUl5fjiSeegCAIvX7NcLH2uT/hW5e929f48o7An14X9nvTPm/AmBOuwTg0IiIiooT2XU4G5v5ieE2Y9hgM19TUIDc3V/l3bm4uWlpa0NraipSUlF6/JpyMjCQYjYaBHD8RERERxRGnMzXWhxCix2DY7/eHnd0VRbFPrwmnoWHoZ1gfXHQ7nM5U1NU19+8NZkX3eIbagNqeINgH+u4DPbddxj5gH+i9/QD7IFbtnwrE5Pd2F4D3mDOcl5eHM2fOKP+ura1FWloakpKS+vQaIiIiIqLhpsdgeNq0aaisrER1dTUA4PXXX0dZWVmfX0NERERENNz0mCaRlZWFZ555BkuWLEFHRwdGjhyJlStX4sCBA1i+fDkqKioivoaIiIiIaDjrMRgGgOnTp2P69OkhX0tPT0dFRUW3ryEiIiIiGs64Ax0RERER6RaDYSIiIiLSLQbDRERERKRbDIaJiIiISLcYDBMRERGRbjEYJiIiIiLdYjBMRERERLrFYJiIiIiIdIvBMBERERHpFoNhIiIiItItBsNEREREpFsMhomIiIhItwRJkqRYHwQRERERUSxwZpiIiIiIdIvBMBERERHpFoNhIiIiItItBsNEREREpFsMhomIiIhItxgMExEREZFuMRgmIiIiIt1iMJzA/H5/rA8hZlg+mwCOASKOAaKeJVww3NHREetDiKnW1lasW7cOra2tEMWE+/P2isfjgSAIyr/1dkLkGOAY4BjgGOAY0PcYADgO+iKhRklNTQ2eeOIJ7N69G4D+PvwvvfQS7r77brS1tcFkMulyRmDTpk2YP38+Vq5ciXXr1gFAyAkx0XEMcAxwDHAMcAzoewwAHAd9ZYz1AUTTvn37sH37dqSnp+OSSy6B1WqN9SENiba2NqxatQpfffUVXnjhBbS0tKC5uRlmsxmpqamxPrwh84c//AG7d+/GU089BZvNhjvuuAOFhYWYO3durA9tyHAMcAxwDHAMcAzoewwA+h0H/ZUwM8N+vx8ff/wxrr32WrS0tOC///u/Y31IQ8ZkMsFkMqGsrAzPPvssFi1ahMcffxwLFizA6dOnY314Q8Lj8WDHjh249957ccEFF6CgoAAzZszA73//exw9ejTWhzckOAY4BjgGOAY4BvQ9BgB9j4P+istguKOjA6tXr8arr76Kzz//HABQW1uLjIwM/OQnP0FmZiY++ugj1NTUAEi8xwPq9u/fvx9GoxGTJ0/Gxo0b4XA4UFFRgTVr1sDpdOLll1+G2+2O9SFHnboPKisrYTabMWbMGGzbtk35fnZ2NjIyMrBz504AibWQhGOAY4BjgGOAY0DfYwDgOIiWuAuGjxw5grvuugvnz59HS0sLli1bhi1btiA3NxeLFy/G2LFjcfXVV8Pn8+G9994DkFi5Qtr2P/bYY9i6dStmzZqFK664ApdccgkAwGq14oEHHsC2bdsS7sOv7oPm5mYsX74cmzdvxvXXX489e/bgkUcewY033ojk5GTcd999ePXVVwEgYRaScAxwDHAMcAxwDOh7DAAcB9EUdznDNTU1KCgowK9//WsAQFpaGj788EOkpKTg+9//PgDg0ksvxZdffomvv/4aBw4cwMSJEyFJUkJ8CLTtt9vt2LVrFxwOB5599tmQ144ZMwbFxcWor69Hfn5+LA53UITrg3379iE/Px9vvPEGqqqq8M///M+48MILcfjwYUyZMgVtbW2wWCwJcSLkGOAY4BjgGOAY0PcYADgOoinuPhGHDh2CzWaDz+cDAPzgBz9ATk4O9u3bh8bGRgCBO7+rrroK7e3t2LNnD4DEuRvStn/mzJnIy8vDrl27cOLECbz00ktYs2YNjh8/jsceewxpaWnIy8uL8VFHl7YPZs2aBYfDgQ8++AAdHR2w2WyoqqpCS0sL1q1bB4fDAZvNljAnQI4BjgGOAY4BjgF9jwGA4yCa4uZTIT/iueyyy/D++++jrq4OAJCZmYkpU6bg3LlzaG5uVl4/duxYLFq0CPfee29Mjjfaemp/Q0ODkjN25MgR/PznP0dxcTHWrl2bMB/87vrg0ksvxblz5+DxeCBJEt544w0sWLAAo0ePxqOPPhrLw44ajgGOAY4BjgGAYwDQ7xgAOA4GhTQM7dixQ9q5c6dUW1srSZIk+f1+SZIkyePxSJIkSYsWLZKWLFmivN7r9UrXXHON9NVXX4W8Pl71t/0HDhxQvtbW1jaERxx9A+0Dj8cjtba2DvFRR8+HH34oVVZWSk1NTZIk6W8M9Lf9iTQGBtoHiTAGvvjiC8ntdkuSpM8x0J/2J9oYGEgfxPMYkNtaVVUlnTt3rsv39TIOhsqwmhk+efIk7rzzTrzwwgt466238Ktf/QqnT5+GIAjw+XwwmUwAgF/+8pf49NNPsXnzZrS1teH48eMYN24cMjIyAMTvI4CBtt/hcCjvFa81BaPVByaTCUlJSbFsSr9UV1fjjjvuwMaNG7Flyxb84he/wNdffw1BEOB2uxN+DAy0/YkwBqLVB/E6Bk6fPo0f/ehHePbZZ7Fu3Tr8+te/xrFjxyAIAjweT8KPgYG2PxHGQLT6IF7HABD4/NbU1GDp0qX49NNPldlgSZJ0EQ8NNUGSYrvEVFIlcm/atAlnz57Fgw8+iIMHD2LDhg341a9+pfxRGxsb8dRTT2Hu3LlobGzEBx98gDNnzqCurg7z58/HbbfdFsum9Ive2w+wD9RWrVoFg8GAhx56CG63G2vWrMHnn3+O1157DQDQ0NCAp59+mu1P0PYD7IM//vGPOH36NB5++GEcO3YMr7/+Or744gulGgDbn9jtB9gHspdeegm/+c1vcOutt+Lee+9FUVGR8r1EvxYOtZhXk2hvb4fNZgMAnDp1Cnv27MGDDz6Id955BwcOHMB7772H8ePHIzU1FQsXLsQNN9yA733vexAEAbNnz0ZlZSVKS0thNMa8Kf2i9/YD7IO2tjbYbDa0t7fj5MmTKC0tBQBYLBY4nU4cOHAAFRUVmDhxIhYuXIjrr7+e7U+g9gPsg6NHjyI7OxspKSmorq5GS0sLAGDkyJFYtGgRbrvtNvzlL3/BRRddhHvuuYftT7D2A+wDINAHOTk5SE5ORnt7O7777jusXbsWmzdvxr59+5CXlwez2Yzdu3dj+fLlmDlzZsL1QazEZGZYnglcu3YtJEnCQw89BCAQCK1YsQJHjhyB0+nEvHnz8Omnn2L79u3YsmWLUkAbALxeb9z+wfXefoB9EK79Ho8Ha9euxdmzZ5WtQ3ft2oXs7Gy88847eO655+DxeJCTkwOA7Y/n9gPsAwDYsWMHfve738HpdKKxsRErVqzAxx9/jG+++QYLFizAiBEjAACbN2/GG2+8gf/4j/9g+xOo/QD7AAjtg4aGBqxcuRIlJSV44YUXsHDhQrz44ovYu3cvFi9ejPHjx6O+vh5tbW0oKCgAkBh9EGsxyRkWBAEnTpzA22+/jb1796KqqgoAkJ+fj0cffRQFBQXYtGkTrr/+eixbtgxZWVnYv38/srOz4ff7IUlSXP/h9d5+gH2gbf/BgwdhNptx0003obi4GJs2bcL69etxxRVX4JprrkFWVhZcLhdycnLY/gRoP8A+qKqqwh/+8Ac8/PDDeO6555CZmYk333wTF110Eerq6rBv3z7ltRMmTEBaWhoaGhrY/gRpP8A+ALr2gdPpxKZNmwAACxcuBADccccd6OjowK5du9Dc3IzMzEwUFBQkTB8MB0MWDGsnoHfv3o0JEybg8ssvxyuvvKJ8/fz587BYLDhw4ACAwExhXl4eJk+eHDhgUYzLhHC9tx9gH/Sm/ePGjcP999+PFStWYOPGjZg+fTrq6+ths9mUWQC2Pz7bD7AP1O1/9913UVpaiquvvhoAcOONN2Lnzp24+OKLMXr0aHz22WfYvXs3AMDn80EURRQXFwNg++O1/QD7AOi+D2644Qbs27dPeU1HRwfMZjNuv/127Nq1C5WVlcrPxnMfDDdDcjvx/PPPo66uDqWlpZgxYwasVitaWlowb948eDwebNq0Ce+//z7KyspgsVhgt9uxYsUKTJs2Ddu2bUNZWRnsdnvc7pqi9/YD7IPetH/Hjh247rrr0NHRgaqqKqxfvx5XX301tm7digULFgAA2x+n7QfYB3L7x48fj/LycsyePTtk5m/fvn2YOnUqAODmm2/Gu+++i3/913/FnDlz8Pbbb+OWW26BIAhsf5y2H2AfAD33wd69e5U8YABK1YgZM2bgrbfegsvlislxJ7pByxmWJAkulwtPP/006urqcPPNN2Pjxo2YOnUq7rnnHiXfp7GxEa+88goOHTqE1atXw2w24+TJk/jss89w+PBhzJ49GxdeeOFgHOKg0nv7AfbBQNp/7tw57Nq1C9XV1Zg5cybGjx8f49b0nd7bD7APumv/XXfdhcLCQgCBnMe7774b999/P6688krl5/fu3Yuvv/4aU6dOTbhzgB7aD7APgIH1gd/vV3bN83g8MJvNMWtHQotCreIu6uvrJUmSpPPnz0sLFy6U6urqJEmSpMrKSumJJ56QnnnmmZDXf/LJJ9LSpUulF198cTAOZ8jpvf2SxD5g+/XdfkliH0Rq//79+6Unn3wypP1/+ctfpJtvvlmSJEn65ptvpJUrV0qHDh0a+oOOIr23X5LYB5LU/z44evSotGrVKungwYNDf9A6FNU0CZ/Ph/Xr12PHjh0YO3YsBEFASUkJTp8+DYfDgYsvvhg1NTXYunVryOOQ8ePH46KLLsKePXtw6623IiUlJZqHNWT03n6AfcD267v9APugp/ZPmjQJtbW12Lp1K/bs2YMrr7wSx44dw6RJk/Bf//VfqKiowMyZMzFmzJhYN6Vf9N5+gH0ARK8P4nU2PN5EbQGdx+PB448/jsbGRmzYsAFz587Fm2++ib///e/49ttv4fV6AQClpaUYMWIEqqurlZ+12WyYM2cO1qxZE7cXAL23H2AfsP36bj/APuhr+0+ePAkgsIho8+bNOHnyJDZu3IhFixbFshn9pvf2A+wDgH0Qj6I2M3z27Fl88skneOutt2AymZCVlYXrrrsOVqsVL7/8MiZNmoQRI0YgPz8fZ86cUXLl5HwY+d/xSu/tB9gHbL++2w+wD/rafnnb3DvuuAMTJ07EpEmTYtyCgdF7+wH2AcA+iEdRmxl2Op0oLy9HTU0NAOD48eP49ttvsXLlSqVu3v79+wEEdhwbOXJk4ADEmJQ6jjq9tx9gH7D9+m4/wD7oa/tHjRoFALjzzjsTIgDQe/sB9gHAPohHUa0m0dzcjNTUVADAxo0bsX//fvzud79DXV0dXnvtNVRWVuLs2bO46qqr8Oijj0br1w4bem8/wD5g+/XdfoB9wPbru/0A+wBgH8SbqC6gS01NVUqIVFRU4Gc/+xkA4KOPPsLkyZNx++23w2QyITMzM5q/dtjQe/sB9gHbr+/2A+wDtl/f7QfYBwD7IN5E/dmcIAioqanByJEjYbfb8dBDD+GVV15Beno6cnJyEv4Pr/f2A+wDtl/f7QfYB2y/vtsPsA8A9kE8GZQd6L744gu8//77qK+vx9y5c3HbbbcNxq8ZtvTefoB9wPbru/0A+4Dt13f7AfYBwD6IF4OyA92OHTvw5ZdfYtGiRbrcLUXv7QfYB2y/vtsPsA/Yfn23H2AfAOyDeDEowbAUx/uGR4Pe2w+wD9h+fbcfYB+w/fpuP8A+ANgH8WJQgmEiIiIioniQGMUtiYiIiIj6gcEwEREREekWg2EiIiIi0q1BKa1GRER9c+LECcyaNQujR48GENimdcqUKXj44YfhcDgi/txdd92FTZs2DdVhEhElHM4MExENE9nZ2aioqEBFRQXee+89OBwOLFmypNuf+fjjj4fo6IiIEhODYSKiYUgQBCxevBiHDx9GVVUVli9fjttvvx1lZWW477770N7ejqeeegoAlEL+H3zwAW699VbcdNNNeOCBB9DQ0BDLJhARxQUGw0REw5TZbEZRURG2b98Ok8mEP/3pT/jrX/+K5uZm/O///i+WL18OANi8eTPq6+vx29/+Fs8//zy2bt2KadOmYfXq1TFuARHR8MecYSKiYUwQBEyYMAGFhYV49dVXcfToUVRXV8PlcoW8rrKyEqdPn8b8+fMBAH6/H2lpabE4ZCKiuMJgmIhomPJ4PDh27BiOHz+OdevWYf78+Zg7dy4aGhqg3S/J5/NhypQp+P3vfw8AcLvdaG1tjcVhExHFFaZJEBENQ36/H+vXr8ekSZNw/PhxzJ49G7fccgvsdjs++ugj+Hw+AIDBYIDX68WkSZOwf/9+HDt2DACwYcMG/Nu//Vssm0BEFBc4M0xENEycOXMG5eXlAALB8Pjx47FmzRrU1NTgkUcewdtvvw2TyYQpU6bgxIkTAICysjKUl5fjz3/+M1asWIGlS5fC7/cjJycHq1atimVziIjigiBpn7UREREREekE0ySIiIiISLcYDBMRERGRbjEYJiIiIiLdYjBMRERERLrFYJiIiIiIdIvBMBERERHpFoNhIiIiItItBsNEREREpFv/HzZiCqDJIrLIAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot(figsize = (12, 8), title = \"EMA{} | EMA{}\".format(ema_s, ema_l), fontsize = 12)\n",
    "plt.legend(fontsize = 12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"price\", \"EMA_S\", \"EMA_L\"]].plot(figsize = (12, 8), fontsize = 12,\n",
    "                                                   title = \" EMA{} | EMA{}\".format(ema_s, ema_l))\n",
    "plt.legend(fontsize = 12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"position\"] = np.where(data[\"EMA_S\"] > data[\"EMA_L\"], 1, -1 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>price</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>position</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-02</th>\n",
       "      <td>267.839996</td>\n",
       "      <td>268.809998</td>\n",
       "      <td>267.399994</td>\n",
       "      <td>268.769989</td>\n",
       "      <td>253.283142</td>\n",
       "      <td>86655700</td>\n",
       "      <td>268.769989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-03</th>\n",
       "      <td>268.959991</td>\n",
       "      <td>270.640015</td>\n",
       "      <td>268.959991</td>\n",
       "      <td>270.470001</td>\n",
       "      <td>254.885162</td>\n",
       "      <td>90070400</td>\n",
       "      <td>270.470001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-04</th>\n",
       "      <td>271.200012</td>\n",
       "      <td>272.160004</td>\n",
       "      <td>270.540009</td>\n",
       "      <td>271.609985</td>\n",
       "      <td>255.959488</td>\n",
       "      <td>80636400</td>\n",
       "      <td>271.609985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-05</th>\n",
       "      <td>272.510010</td>\n",
       "      <td>273.559998</td>\n",
       "      <td>271.950012</td>\n",
       "      <td>273.420013</td>\n",
       "      <td>257.665283</td>\n",
       "      <td>83524000</td>\n",
       "      <td>273.420013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08</th>\n",
       "      <td>273.309998</td>\n",
       "      <td>274.100006</td>\n",
       "      <td>272.980011</td>\n",
       "      <td>273.920013</td>\n",
       "      <td>258.136414</td>\n",
       "      <td>57319200</td>\n",
       "      <td>273.920013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>387.059998</td>\n",
       "      <td>389.619995</td>\n",
       "      <td>386.739990</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>385.766510</td>\n",
       "      <td>67414200</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>388.352130</td>\n",
       "      <td>386.161472</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
       "      <td>380.200012</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>386.234985</td>\n",
       "      <td>107284100</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>388.230397</td>\n",
       "      <td>386.283157</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>386.329987</td>\n",
       "      <td>392.230011</td>\n",
       "      <td>385.269989</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>390.491028</td>\n",
       "      <td>72433900</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>388.736053</td>\n",
       "      <td>386.781960</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>390.410004</td>\n",
       "      <td>391.880005</td>\n",
       "      <td>380.779999</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>381.081848</td>\n",
       "      <td>146670500</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>387.820901</td>\n",
       "      <td>386.377235</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>384.350006</td>\n",
       "      <td>385.579987</td>\n",
       "      <td>378.230011</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>379.118286</td>\n",
       "      <td>152701600</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>386.755056</td>\n",
       "      <td>385.830212</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>794 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-01-02  267.839996  268.809998  267.399994  268.769989  253.283142   \n",
       "2018-01-03  268.959991  270.640015  268.959991  270.470001  254.885162   \n",
       "2018-01-04  271.200012  272.160004  270.540009  271.609985  255.959488   \n",
       "2018-01-05  272.510010  273.559998  271.950012  273.420013  257.665283   \n",
       "2018-01-08  273.309998  274.100006  272.980011  273.920013  258.136414   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  position  \n",
       "Date                                                                 \n",
       "2018-01-02   86655700  268.769989         NaN         NaN        -1  \n",
       "2018-01-03   90070400  270.470001         NaN         NaN        -1  \n",
       "2018-01-04   80636400  271.609985         NaN         NaN        -1  \n",
       "2018-01-05   83524000  273.420013         NaN         NaN        -1  \n",
       "2018-01-08   57319200  273.920013         NaN         NaN        -1  \n",
       "...               ...         ...         ...         ...       ...  \n",
       "2021-02-22   67414200  387.029999  388.352130  386.161472         1  \n",
       "2021-02-23  107284100  387.500000  388.230397  386.283157         1  \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960         1  \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235         1  \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212         1  \n",
       "\n",
       "[794 rows x 10 columns]"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[:, [\"EMA_S\", \"EMA_L\", \"position\"]].plot(figsize = (12, 8), fontsize = 12, secondary_y = \"position\",\n",
    "                                                 title = \" EMA{} | EMA{}\".format(ema_s, ema_l))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.loc[\"2020\", [\"EMA_S\", \"EMA_L\", \"position\"]].plot(figsize = (12, 8), fontsize = 12, secondary_y = \"position\",\n",
    "                                                     title = \"EUR/USD - EMA{} | EMA{}\".format(ema_s, ema_l))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vectorized Strategy Backtesting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>price</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>position</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-02</th>\n",
       "      <td>267.839996</td>\n",
       "      <td>268.809998</td>\n",
       "      <td>267.399994</td>\n",
       "      <td>268.769989</td>\n",
       "      <td>253.283142</td>\n",
       "      <td>86655700</td>\n",
       "      <td>268.769989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-03</th>\n",
       "      <td>268.959991</td>\n",
       "      <td>270.640015</td>\n",
       "      <td>268.959991</td>\n",
       "      <td>270.470001</td>\n",
       "      <td>254.885162</td>\n",
       "      <td>90070400</td>\n",
       "      <td>270.470001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-04</th>\n",
       "      <td>271.200012</td>\n",
       "      <td>272.160004</td>\n",
       "      <td>270.540009</td>\n",
       "      <td>271.609985</td>\n",
       "      <td>255.959488</td>\n",
       "      <td>80636400</td>\n",
       "      <td>271.609985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-05</th>\n",
       "      <td>272.510010</td>\n",
       "      <td>273.559998</td>\n",
       "      <td>271.950012</td>\n",
       "      <td>273.420013</td>\n",
       "      <td>257.665283</td>\n",
       "      <td>83524000</td>\n",
       "      <td>273.420013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08</th>\n",
       "      <td>273.309998</td>\n",
       "      <td>274.100006</td>\n",
       "      <td>272.980011</td>\n",
       "      <td>273.920013</td>\n",
       "      <td>258.136414</td>\n",
       "      <td>57319200</td>\n",
       "      <td>273.920013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>387.059998</td>\n",
       "      <td>389.619995</td>\n",
       "      <td>386.739990</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>385.766510</td>\n",
       "      <td>67414200</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>388.352130</td>\n",
       "      <td>386.161472</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
       "      <td>380.200012</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>386.234985</td>\n",
       "      <td>107284100</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>388.230397</td>\n",
       "      <td>386.283157</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>386.329987</td>\n",
       "      <td>392.230011</td>\n",
       "      <td>385.269989</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>390.491028</td>\n",
       "      <td>72433900</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>388.736053</td>\n",
       "      <td>386.781960</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>390.410004</td>\n",
       "      <td>391.880005</td>\n",
       "      <td>380.779999</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>381.081848</td>\n",
       "      <td>146670500</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>387.820901</td>\n",
       "      <td>386.377235</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>384.350006</td>\n",
       "      <td>385.579987</td>\n",
       "      <td>378.230011</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>379.118286</td>\n",
       "      <td>152701600</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>386.755056</td>\n",
       "      <td>385.830212</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>794 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-01-02  267.839996  268.809998  267.399994  268.769989  253.283142   \n",
       "2018-01-03  268.959991  270.640015  268.959991  270.470001  254.885162   \n",
       "2018-01-04  271.200012  272.160004  270.540009  271.609985  255.959488   \n",
       "2018-01-05  272.510010  273.559998  271.950012  273.420013  257.665283   \n",
       "2018-01-08  273.309998  274.100006  272.980011  273.920013  258.136414   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  position  \n",
       "Date                                                                 \n",
       "2018-01-02   86655700  268.769989         NaN         NaN        -1  \n",
       "2018-01-03   90070400  270.470001         NaN         NaN        -1  \n",
       "2018-01-04   80636400  271.609985         NaN         NaN        -1  \n",
       "2018-01-05   83524000  273.420013         NaN         NaN        -1  \n",
       "2018-01-08   57319200  273.920013         NaN         NaN        -1  \n",
       "...               ...         ...         ...         ...       ...  \n",
       "2021-02-22   67414200  387.029999  388.352130  386.161472         1  \n",
       "2021-02-23  107284100  387.500000  388.230397  386.283157         1  \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960         1  \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235         1  \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212         1  \n",
       "\n",
       "[794 rows x 10 columns]"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"returns\"] = np.log(data.price.div(data.price.shift(1)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2018-01-31</th>\n",
       "      <td>282.730011</td>\n",
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       "      <th>2018-02-01</th>\n",
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       "      <th>2018-02-02</th>\n",
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       "      <td>275.450012</td>\n",
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       "      <th>2018-02-06</th>\n",
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       "      <td>269.130005</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
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       "      <th>2021-02-25</th>\n",
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       "      <th>2021-02-26</th>\n",
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       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-01-31  282.730011  283.299988  280.679993  281.899994  265.656616   \n",
       "2018-02-01  281.070007  283.059998  280.679993  281.579987  265.354980   \n",
       "2018-02-02  280.079987  280.230011  275.410004  275.450012  259.578278   \n",
       "2018-02-05  273.450012  275.850006  263.309998  263.929993  248.722015   \n",
       "2018-02-06  259.940002  269.700012  258.700012  269.130005  253.622482   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  position   returns  \n",
       "Date                                                                           \n",
       "2018-01-31  108364800  281.899994  281.652772  280.671457         1  0.000497  \n",
       "2018-02-01   90102500  281.579987  281.642012  280.765618         1 -0.001136  \n",
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       "...               ...         ...         ...         ...       ...       ...  \n",
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       "2021-02-23  107284100  387.500000  388.230397  386.283157         1  0.001214  \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960         1  0.010959  \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235         1 -0.024391  \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212         1 -0.005166  \n",
       "\n",
       "[774 rows x 11 columns]"
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
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  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"strategy\"] = data.position.shift(1) * data[\"returns\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-01-31</th>\n",
       "      <td>282.730011</td>\n",
       "      <td>283.299988</td>\n",
       "      <td>280.679993</td>\n",
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       "      <td>280.671457</td>\n",
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       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
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       "    <tr>\n",
       "      <th>2018-02-02</th>\n",
       "      <td>280.079987</td>\n",
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       "    <tr>\n",
       "      <th>2018-02-05</th>\n",
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       "    <tr>\n",
       "      <th>2018-02-06</th>\n",
       "      <td>259.940002</td>\n",
       "      <td>269.700012</td>\n",
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       "      <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>387.059998</td>\n",
       "      <td>389.619995</td>\n",
       "      <td>386.739990</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>385.766510</td>\n",
       "      <td>67414200</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>388.352130</td>\n",
       "      <td>386.161472</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.007721</td>\n",
       "      <td>-0.007721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
       "      <td>380.200012</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>386.234985</td>\n",
       "      <td>107284100</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>388.230397</td>\n",
       "      <td>386.283157</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001214</td>\n",
       "      <td>0.001214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>386.329987</td>\n",
       "      <td>392.230011</td>\n",
       "      <td>385.269989</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>390.491028</td>\n",
       "      <td>72433900</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>388.736053</td>\n",
       "      <td>386.781960</td>\n",
       "      <td>1</td>\n",
       "      <td>0.010959</td>\n",
       "      <td>0.010959</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>390.410004</td>\n",
       "      <td>391.880005</td>\n",
       "      <td>380.779999</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>381.081848</td>\n",
       "      <td>146670500</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>387.820901</td>\n",
       "      <td>386.377235</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.024391</td>\n",
       "      <td>-0.024391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>384.350006</td>\n",
       "      <td>385.579987</td>\n",
       "      <td>378.230011</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>379.118286</td>\n",
       "      <td>152701600</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>386.755056</td>\n",
       "      <td>385.830212</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.005166</td>\n",
       "      <td>-0.005166</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>774 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-01-31  282.730011  283.299988  280.679993  281.899994  265.656616   \n",
       "2018-02-01  281.070007  283.059998  280.679993  281.579987  265.354980   \n",
       "2018-02-02  280.079987  280.230011  275.410004  275.450012  259.578278   \n",
       "2018-02-05  273.450012  275.850006  263.309998  263.929993  248.722015   \n",
       "2018-02-06  259.940002  269.700012  258.700012  269.130005  253.622482   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  position   returns  \\\n",
       "Date                                                                            \n",
       "2018-01-31  108364800  281.899994  281.652772  280.671457         1  0.000497   \n",
       "2018-02-01   90102500  281.579987  281.642012  280.765618         1 -0.001136   \n",
       "2018-02-02  173174800  275.450012  280.731158  280.221629         1 -0.022010   \n",
       "2018-02-05  294681800  263.929993  278.270123  278.573215        -1 -0.042722   \n",
       "2018-02-06  355026800  269.130005  276.936111  277.627451        -1  0.019511   \n",
       "...               ...         ...         ...         ...       ...       ...   \n",
       "2021-02-22   67414200  387.029999  388.352130  386.161472         1 -0.007721   \n",
       "2021-02-23  107284100  387.500000  388.230397  386.283157         1  0.001214   \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960         1  0.010959   \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235         1 -0.024391   \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212         1 -0.005166   \n",
       "\n",
       "            strategy  \n",
       "Date                  \n",
       "2018-01-31       NaN  \n",
       "2018-02-01 -0.001136  \n",
       "2018-02-02 -0.022010  \n",
       "2018-02-05 -0.042722  \n",
       "2018-02-06 -0.019511  \n",
       "...              ...  \n",
       "2021-02-22 -0.007721  \n",
       "2021-02-23  0.001214  \n",
       "2021-02-24  0.010959  \n",
       "2021-02-25 -0.024391  \n",
       "2021-02-26 -0.005166  \n",
       "\n",
       "[774 rows x 12 columns]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace = True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>price</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>position</th>\n",
       "      <th>returns</th>\n",
       "      <th>strategy</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>281.070007</td>\n",
       "      <td>283.059998</td>\n",
       "      <td>280.679993</td>\n",
       "      <td>281.579987</td>\n",
       "      <td>265.354980</td>\n",
       "      <td>90102500</td>\n",
       "      <td>281.579987</td>\n",
       "      <td>281.642012</td>\n",
       "      <td>280.765618</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.001136</td>\n",
       "      <td>-0.001136</td>\n",
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       "    <tr>\n",
       "      <th>2018-02-02</th>\n",
       "      <td>280.079987</td>\n",
       "      <td>280.230011</td>\n",
       "      <td>275.410004</td>\n",
       "      <td>275.450012</td>\n",
       "      <td>259.578278</td>\n",
       "      <td>173174800</td>\n",
       "      <td>275.450012</td>\n",
       "      <td>280.731158</td>\n",
       "      <td>280.221629</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.022010</td>\n",
       "      <td>-0.022010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-05</th>\n",
       "      <td>273.450012</td>\n",
       "      <td>275.850006</td>\n",
       "      <td>263.309998</td>\n",
       "      <td>263.929993</td>\n",
       "      <td>248.722015</td>\n",
       "      <td>294681800</td>\n",
       "      <td>263.929993</td>\n",
       "      <td>278.270123</td>\n",
       "      <td>278.573215</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.042722</td>\n",
       "      <td>-0.042722</td>\n",
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       "    <tr>\n",
       "      <th>2018-02-06</th>\n",
       "      <td>259.940002</td>\n",
       "      <td>269.700012</td>\n",
       "      <td>258.700012</td>\n",
       "      <td>269.130005</td>\n",
       "      <td>253.622482</td>\n",
       "      <td>355026800</td>\n",
       "      <td>269.130005</td>\n",
       "      <td>276.936111</td>\n",
       "      <td>277.627451</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.019511</td>\n",
       "      <td>-0.019511</td>\n",
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       "    <tr>\n",
       "      <th>2018-02-07</th>\n",
       "      <td>268.500000</td>\n",
       "      <td>272.359985</td>\n",
       "      <td>267.579987</td>\n",
       "      <td>267.670013</td>\n",
       "      <td>252.246567</td>\n",
       "      <td>167376100</td>\n",
       "      <td>267.670013</td>\n",
       "      <td>275.587884</td>\n",
       "      <td>276.639320</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005440</td>\n",
       "      <td>0.005440</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "    <tr>\n",
       "      <th>2021-02-22</th>\n",
       "      <td>387.059998</td>\n",
       "      <td>389.619995</td>\n",
       "      <td>386.739990</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>385.766510</td>\n",
       "      <td>67414200</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>388.352130</td>\n",
       "      <td>386.161472</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.007721</td>\n",
       "      <td>-0.007721</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
       "      <td>380.200012</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>386.234985</td>\n",
       "      <td>107284100</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>388.230397</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>386.329987</td>\n",
       "      <td>392.230011</td>\n",
       "      <td>385.269989</td>\n",
       "      <td>391.769989</td>\n",
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       "      <td>72433900</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>388.736053</td>\n",
       "      <td>386.781960</td>\n",
       "      <td>1</td>\n",
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       "      <td>0.010959</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>390.410004</td>\n",
       "      <td>391.880005</td>\n",
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       "      <td>382.329987</td>\n",
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       "      <td>382.329987</td>\n",
       "      <td>387.820901</td>\n",
       "      <td>386.377235</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.024391</td>\n",
       "      <td>-0.024391</td>\n",
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       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>384.350006</td>\n",
       "      <td>385.579987</td>\n",
       "      <td>378.230011</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>379.118286</td>\n",
       "      <td>152701600</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>386.755056</td>\n",
       "      <td>385.830212</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.005166</td>\n",
       "      <td>-0.005166</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>773 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-02-01  281.070007  283.059998  280.679993  281.579987  265.354980   \n",
       "2018-02-02  280.079987  280.230011  275.410004  275.450012  259.578278   \n",
       "2018-02-05  273.450012  275.850006  263.309998  263.929993  248.722015   \n",
       "2018-02-06  259.940002  269.700012  258.700012  269.130005  253.622482   \n",
       "2018-02-07  268.500000  272.359985  267.579987  267.670013  252.246567   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  position   returns  \\\n",
       "Date                                                                            \n",
       "2018-02-01   90102500  281.579987  281.642012  280.765618         1 -0.001136   \n",
       "2018-02-02  173174800  275.450012  280.731158  280.221629         1 -0.022010   \n",
       "2018-02-05  294681800  263.929993  278.270123  278.573215        -1 -0.042722   \n",
       "2018-02-06  355026800  269.130005  276.936111  277.627451        -1  0.019511   \n",
       "2018-02-07  167376100  267.670013  275.587884  276.639320        -1 -0.005440   \n",
       "...               ...         ...         ...         ...       ...       ...   \n",
       "2021-02-22   67414200  387.029999  388.352130  386.161472         1 -0.007721   \n",
       "2021-02-23  107284100  387.500000  388.230397  386.283157         1  0.001214   \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960         1  0.010959   \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235         1 -0.024391   \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212         1 -0.005166   \n",
       "\n",
       "            strategy  \n",
       "Date                  \n",
       "2018-02-01 -0.001136  \n",
       "2018-02-02 -0.022010  \n",
       "2018-02-05 -0.042722  \n",
       "2018-02-06 -0.019511  \n",
       "2018-02-07  0.005440  \n",
       "...              ...  \n",
       "2021-02-22 -0.007721  \n",
       "2021-02-23  0.001214  \n",
       "2021-02-24  0.010959  \n",
       "2021-02-25 -0.024391  \n",
       "2021-02-26 -0.005166  \n",
       "\n",
       "[773 rows x 12 columns]"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"creturns\"] = data[\"returns\"].cumsum().apply(np.exp)\n",
    "data[\"cstrategy\"] = data[\"strategy\"].cumsum().apply(np.exp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-02-01</th>\n",
       "      <td>281.070007</td>\n",
       "      <td>283.059998</td>\n",
       "      <td>280.679993</td>\n",
       "      <td>281.579987</td>\n",
       "      <td>265.354980</td>\n",
       "      <td>90102500</td>\n",
       "      <td>281.579987</td>\n",
       "      <td>281.642012</td>\n",
       "      <td>280.765618</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.001136</td>\n",
       "      <td>-0.001136</td>\n",
       "      <td>0.998865</td>\n",
       "      <td>0.998865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-02</th>\n",
       "      <td>280.079987</td>\n",
       "      <td>280.230011</td>\n",
       "      <td>275.410004</td>\n",
       "      <td>275.450012</td>\n",
       "      <td>259.578278</td>\n",
       "      <td>173174800</td>\n",
       "      <td>275.450012</td>\n",
       "      <td>280.731158</td>\n",
       "      <td>280.221629</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.022010</td>\n",
       "      <td>-0.022010</td>\n",
       "      <td>0.977120</td>\n",
       "      <td>0.977120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-05</th>\n",
       "      <td>273.450012</td>\n",
       "      <td>275.850006</td>\n",
       "      <td>263.309998</td>\n",
       "      <td>263.929993</td>\n",
       "      <td>248.722015</td>\n",
       "      <td>294681800</td>\n",
       "      <td>263.929993</td>\n",
       "      <td>278.270123</td>\n",
       "      <td>278.573215</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.042722</td>\n",
       "      <td>-0.042722</td>\n",
       "      <td>0.936254</td>\n",
       "      <td>0.936254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-06</th>\n",
       "      <td>259.940002</td>\n",
       "      <td>269.700012</td>\n",
       "      <td>258.700012</td>\n",
       "      <td>269.130005</td>\n",
       "      <td>253.622482</td>\n",
       "      <td>355026800</td>\n",
       "      <td>269.130005</td>\n",
       "      <td>276.936111</td>\n",
       "      <td>277.627451</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.019511</td>\n",
       "      <td>-0.019511</td>\n",
       "      <td>0.954700</td>\n",
       "      <td>0.918164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-07</th>\n",
       "      <td>268.500000</td>\n",
       "      <td>272.359985</td>\n",
       "      <td>267.579987</td>\n",
       "      <td>267.670013</td>\n",
       "      <td>252.246567</td>\n",
       "      <td>167376100</td>\n",
       "      <td>267.670013</td>\n",
       "      <td>275.587884</td>\n",
       "      <td>276.639320</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005440</td>\n",
       "      <td>0.005440</td>\n",
       "      <td>0.949521</td>\n",
       "      <td>0.923172</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>2021-02-22</th>\n",
       "      <td>387.059998</td>\n",
       "      <td>389.619995</td>\n",
       "      <td>386.739990</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>385.766510</td>\n",
       "      <td>67414200</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>388.352130</td>\n",
       "      <td>386.161472</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.007721</td>\n",
       "      <td>-0.007721</td>\n",
       "      <td>1.372934</td>\n",
       "      <td>1.035997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
       "      <td>380.200012</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>386.234985</td>\n",
       "      <td>107284100</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>388.230397</td>\n",
       "      <td>386.283157</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001214</td>\n",
       "      <td>0.001214</td>\n",
       "      <td>1.374601</td>\n",
       "      <td>1.037255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>386.329987</td>\n",
       "      <td>392.230011</td>\n",
       "      <td>385.269989</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>390.491028</td>\n",
       "      <td>72433900</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>388.736053</td>\n",
       "      <td>386.781960</td>\n",
       "      <td>1</td>\n",
       "      <td>0.010959</td>\n",
       "      <td>0.010959</td>\n",
       "      <td>1.389748</td>\n",
       "      <td>1.048685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>390.410004</td>\n",
       "      <td>391.880005</td>\n",
       "      <td>380.779999</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>381.081848</td>\n",
       "      <td>146670500</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>387.820901</td>\n",
       "      <td>386.377235</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.024391</td>\n",
       "      <td>-0.024391</td>\n",
       "      <td>1.356261</td>\n",
       "      <td>1.023416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>384.350006</td>\n",
       "      <td>385.579987</td>\n",
       "      <td>378.230011</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>379.118286</td>\n",
       "      <td>152701600</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>386.755056</td>\n",
       "      <td>385.830212</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.005166</td>\n",
       "      <td>-0.005166</td>\n",
       "      <td>1.349273</td>\n",
       "      <td>1.018143</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>773 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-02-01  281.070007  283.059998  280.679993  281.579987  265.354980   \n",
       "2018-02-02  280.079987  280.230011  275.410004  275.450012  259.578278   \n",
       "2018-02-05  273.450012  275.850006  263.309998  263.929993  248.722015   \n",
       "2018-02-06  259.940002  269.700012  258.700012  269.130005  253.622482   \n",
       "2018-02-07  268.500000  272.359985  267.579987  267.670013  252.246567   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  position   returns  \\\n",
       "Date                                                                            \n",
       "2018-02-01   90102500  281.579987  281.642012  280.765618         1 -0.001136   \n",
       "2018-02-02  173174800  275.450012  280.731158  280.221629         1 -0.022010   \n",
       "2018-02-05  294681800  263.929993  278.270123  278.573215        -1 -0.042722   \n",
       "2018-02-06  355026800  269.130005  276.936111  277.627451        -1  0.019511   \n",
       "2018-02-07  167376100  267.670013  275.587884  276.639320        -1 -0.005440   \n",
       "...               ...         ...         ...         ...       ...       ...   \n",
       "2021-02-22   67414200  387.029999  388.352130  386.161472         1 -0.007721   \n",
       "2021-02-23  107284100  387.500000  388.230397  386.283157         1  0.001214   \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960         1  0.010959   \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235         1 -0.024391   \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212         1 -0.005166   \n",
       "\n",
       "            strategy  creturns  cstrategy  \n",
       "Date                                       \n",
       "2018-02-01 -0.001136  0.998865   0.998865  \n",
       "2018-02-02 -0.022010  0.977120   0.977120  \n",
       "2018-02-05 -0.042722  0.936254   0.936254  \n",
       "2018-02-06 -0.019511  0.954700   0.918164  \n",
       "2018-02-07  0.005440  0.949521   0.923172  \n",
       "...              ...       ...        ...  \n",
       "2021-02-22 -0.007721  1.372934   1.035997  \n",
       "2021-02-23  0.001214  1.374601   1.037255  \n",
       "2021-02-24  0.010959  1.389748   1.048685  \n",
       "2021-02-25 -0.024391  1.356261   1.023416  \n",
       "2021-02-26 -0.005166  1.349273   1.018143  \n",
       "\n",
       "[773 rows x 14 columns]"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[[\"creturns\", \"cstrategy\"]].plot(figsize = (12 , 8))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>price</th>\n",
       "      <th>EMA_S</th>\n",
       "      <th>EMA_L</th>\n",
       "      <th>position</th>\n",
       "      <th>returns</th>\n",
       "      <th>strategy</th>\n",
       "      <th>creturns</th>\n",
       "      <th>cstrategy</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>2018-02-01</th>\n",
       "      <td>281.070007</td>\n",
       "      <td>283.059998</td>\n",
       "      <td>280.679993</td>\n",
       "      <td>281.579987</td>\n",
       "      <td>265.354980</td>\n",
       "      <td>90102500</td>\n",
       "      <td>281.579987</td>\n",
       "      <td>281.642012</td>\n",
       "      <td>280.765618</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.001136</td>\n",
       "      <td>-0.001136</td>\n",
       "      <td>0.998865</td>\n",
       "      <td>0.998865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-02</th>\n",
       "      <td>280.079987</td>\n",
       "      <td>280.230011</td>\n",
       "      <td>275.410004</td>\n",
       "      <td>275.450012</td>\n",
       "      <td>259.578278</td>\n",
       "      <td>173174800</td>\n",
       "      <td>275.450012</td>\n",
       "      <td>280.731158</td>\n",
       "      <td>280.221629</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.022010</td>\n",
       "      <td>-0.022010</td>\n",
       "      <td>0.977120</td>\n",
       "      <td>0.977120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-05</th>\n",
       "      <td>273.450012</td>\n",
       "      <td>275.850006</td>\n",
       "      <td>263.309998</td>\n",
       "      <td>263.929993</td>\n",
       "      <td>248.722015</td>\n",
       "      <td>294681800</td>\n",
       "      <td>263.929993</td>\n",
       "      <td>278.270123</td>\n",
       "      <td>278.573215</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.042722</td>\n",
       "      <td>-0.042722</td>\n",
       "      <td>0.936254</td>\n",
       "      <td>0.936254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-06</th>\n",
       "      <td>259.940002</td>\n",
       "      <td>269.700012</td>\n",
       "      <td>258.700012</td>\n",
       "      <td>269.130005</td>\n",
       "      <td>253.622482</td>\n",
       "      <td>355026800</td>\n",
       "      <td>269.130005</td>\n",
       "      <td>276.936111</td>\n",
       "      <td>277.627451</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.019511</td>\n",
       "      <td>-0.019511</td>\n",
       "      <td>0.954700</td>\n",
       "      <td>0.918164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-07</th>\n",
       "      <td>268.500000</td>\n",
       "      <td>272.359985</td>\n",
       "      <td>267.579987</td>\n",
       "      <td>267.670013</td>\n",
       "      <td>252.246567</td>\n",
       "      <td>167376100</td>\n",
       "      <td>267.670013</td>\n",
       "      <td>275.587884</td>\n",
       "      <td>276.639320</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.005440</td>\n",
       "      <td>0.005440</td>\n",
       "      <td>0.949521</td>\n",
       "      <td>0.923172</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>2021-02-22</th>\n",
       "      <td>387.059998</td>\n",
       "      <td>389.619995</td>\n",
       "      <td>386.739990</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>385.766510</td>\n",
       "      <td>67414200</td>\n",
       "      <td>387.029999</td>\n",
       "      <td>388.352130</td>\n",
       "      <td>386.161472</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.007721</td>\n",
       "      <td>-0.007721</td>\n",
       "      <td>1.372934</td>\n",
       "      <td>1.035997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-23</th>\n",
       "      <td>384.660004</td>\n",
       "      <td>388.950012</td>\n",
       "      <td>380.200012</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>386.234985</td>\n",
       "      <td>107284100</td>\n",
       "      <td>387.500000</td>\n",
       "      <td>388.230397</td>\n",
       "      <td>386.283157</td>\n",
       "      <td>1</td>\n",
       "      <td>0.001214</td>\n",
       "      <td>0.001214</td>\n",
       "      <td>1.374601</td>\n",
       "      <td>1.037255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-24</th>\n",
       "      <td>386.329987</td>\n",
       "      <td>392.230011</td>\n",
       "      <td>385.269989</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>390.491028</td>\n",
       "      <td>72433900</td>\n",
       "      <td>391.769989</td>\n",
       "      <td>388.736053</td>\n",
       "      <td>386.781960</td>\n",
       "      <td>1</td>\n",
       "      <td>0.010959</td>\n",
       "      <td>0.010959</td>\n",
       "      <td>1.389748</td>\n",
       "      <td>1.048685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-25</th>\n",
       "      <td>390.410004</td>\n",
       "      <td>391.880005</td>\n",
       "      <td>380.779999</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>381.081848</td>\n",
       "      <td>146670500</td>\n",
       "      <td>382.329987</td>\n",
       "      <td>387.820901</td>\n",
       "      <td>386.377235</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.024391</td>\n",
       "      <td>-0.024391</td>\n",
       "      <td>1.356261</td>\n",
       "      <td>1.023416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-02-26</th>\n",
       "      <td>384.350006</td>\n",
       "      <td>385.579987</td>\n",
       "      <td>378.230011</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>379.118286</td>\n",
       "      <td>152701600</td>\n",
       "      <td>380.359985</td>\n",
       "      <td>386.755056</td>\n",
       "      <td>385.830212</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.005166</td>\n",
       "      <td>-0.005166</td>\n",
       "      <td>1.349273</td>\n",
       "      <td>1.018143</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>773 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2018-02-01  281.070007  283.059998  280.679993  281.579987  265.354980   \n",
       "2018-02-02  280.079987  280.230011  275.410004  275.450012  259.578278   \n",
       "2018-02-05  273.450012  275.850006  263.309998  263.929993  248.722015   \n",
       "2018-02-06  259.940002  269.700012  258.700012  269.130005  253.622482   \n",
       "2018-02-07  268.500000  272.359985  267.579987  267.670013  252.246567   \n",
       "...                ...         ...         ...         ...         ...   \n",
       "2021-02-22  387.059998  389.619995  386.739990  387.029999  385.766510   \n",
       "2021-02-23  384.660004  388.950012  380.200012  387.500000  386.234985   \n",
       "2021-02-24  386.329987  392.230011  385.269989  391.769989  390.491028   \n",
       "2021-02-25  390.410004  391.880005  380.779999  382.329987  381.081848   \n",
       "2021-02-26  384.350006  385.579987  378.230011  380.359985  379.118286   \n",
       "\n",
       "               Volume       price       EMA_S       EMA_L  position   returns  \\\n",
       "Date                                                                            \n",
       "2018-02-01   90102500  281.579987  281.642012  280.765618         1 -0.001136   \n",
       "2018-02-02  173174800  275.450012  280.731158  280.221629         1 -0.022010   \n",
       "2018-02-05  294681800  263.929993  278.270123  278.573215        -1 -0.042722   \n",
       "2018-02-06  355026800  269.130005  276.936111  277.627451        -1  0.019511   \n",
       "2018-02-07  167376100  267.670013  275.587884  276.639320        -1 -0.005440   \n",
       "...               ...         ...         ...         ...       ...       ...   \n",
       "2021-02-22   67414200  387.029999  388.352130  386.161472         1 -0.007721   \n",
       "2021-02-23  107284100  387.500000  388.230397  386.283157         1  0.001214   \n",
       "2021-02-24   72433900  391.769989  388.736053  386.781960         1  0.010959   \n",
       "2021-02-25  146670500  382.329987  387.820901  386.377235         1 -0.024391   \n",
       "2021-02-26  152701600  380.359985  386.755056  385.830212         1 -0.005166   \n",
       "\n",
       "            strategy  creturns  cstrategy  \n",
       "Date                                       \n",
       "2018-02-01 -0.001136  0.998865   0.998865  \n",
       "2018-02-02 -0.022010  0.977120   0.977120  \n",
       "2018-02-05 -0.042722  0.936254   0.936254  \n",
       "2018-02-06 -0.019511  0.954700   0.918164  \n",
       "2018-02-07  0.005440  0.949521   0.923172  \n",
       "...              ...       ...        ...  \n",
       "2021-02-22 -0.007721  1.372934   1.035997  \n",
       "2021-02-23  0.001214  1.374601   1.037255  \n",
       "2021-02-24  0.010959  1.389748   1.048685  \n",
       "2021-02-25 -0.024391  1.356261   1.023416  \n",
       "2021-02-26 -0.005166  1.349273   1.018143  \n",
       "\n",
       "[773 rows x 14 columns]"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strategy = data.copy()\n",
    "strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1f200e2ba60>]"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x396 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###second method\n",
    "strategy['ret'] =pd.DataFrame(strategy['price'].pct_change())\n",
    "strategy['st_returns'] = strategy['ret']*strategy['position']\n",
    "fig, ax = plt.subplots()\n",
    "plt.plot(((1+strategy['st_returns'][1:]  ).cumprod()), color = 'green')\n",
    "plt.plot(((1+strategy['ret'][1:]).cumprod()), color = 'red')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#############ADD TRAILING STOP###############"
   ]
  },
  {
   "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}