backtesting/backtest_test_data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e756e7b6",
   "metadata": {},
   "source": [
    "# Algo-trading: Sentimental Analysis Indicator\n",
    "> Author: **Felipe Dominguez & Nicola Bini**\n",
    ">\n",
    "> Date: **06/17/2021**\n",
    ">\n",
    "> **Team 2:**\n",
    ">Nicola Bini\n",
    "<br>\n",
    ">Felipe Dominguez\n",
    "<br>\n",
    ">Tri Dung Dinh\n",
    "<br>\n",
    ">Manuel Echazarra\n",
    "<br>\n",
    "## Summary\n",
    "This code provides join Sentimental Analysis and Machine Learning Analysis together to perform a better strategy."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "2bee9e0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import libraries\n",
    "import bt\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "49d13791",
   "metadata": {},
   "outputs": [],
   "source": [
    "# download data\n",
    "tickets    = [\"OCGN\", \"HGEN\", \"VUZI\", \"DNN\"]\n",
    "start_date = \"2019-12-09\"\n",
    "end_date   = \"2021-06-08\"\n",
    "test_data  = bt.get(tickets, start=start_date, end=end_date)\n",
    "\n",
    "# Import ML signals\n",
    "test_signal_OCGN = pd.read_csv(\"test_signal_OCGN.csv\")\n",
    "test_signal_HGEN = pd.read_csv(\"test_signal_HGEN.csv\")\n",
    "test_signal_VUZI = pd.read_csv(\"test_signal_VUZI.csv\")\n",
    "test_signal_DNN  = pd.read_csv(\"test_signal_DNN.csv\")\n",
    "\n",
    "# Import Sentimental Analysis signal\n",
    "signals_sen = pd.read_csv(\"sentimental_analysis_signal.csv\")\n",
    "signals_sen['date'] = signals_sen['date'].astype(np.datetime64)\n",
    "signals_sen = signals_sen.set_index('date')\n",
    "\n",
    "# Fix type of date\n",
    "test_signal_OCGN['date'] = test_signal_OCGN['date'].astype(np.datetime64)\n",
    "test_signal_HGEN['date'] = test_signal_HGEN['date'].astype(np.datetime64)\n",
    "test_signal_VUZI['date'] = test_signal_VUZI['date'].astype(np.datetime64)\n",
    "test_signal_DNN['date']  = test_signal_DNN['date'].astype(np.datetime64)\n",
    "\n",
    "# Set date as index\n",
    "test_signal_OCGN = test_signal_OCGN.set_index(\"date\")\n",
    "test_signal_HGEN = test_signal_HGEN.set_index(\"date\")\n",
    "test_signal_VUZI = test_signal_VUZI.set_index(\"date\")\n",
    "test_signal_DNN  = test_signal_DNN.set_index(\"date\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "91f47fec",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ocgn</th>\n",
       "      <th>hgen</th>\n",
       "      <th>vuzi</th>\n",
       "      <th>dnn</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-12-09</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-10</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-11</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-12</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-13</th>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-01</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-02</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-03</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-04</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-07</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>376 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            ocgn  hgen  vuzi   dnn\n",
       "date                              \n",
       "2019-12-09 -0.25  0.25  0.25 -0.25\n",
       "2019-12-10 -0.25  0.25 -0.25 -0.25\n",
       "2019-12-11 -0.25  0.25  0.25 -0.25\n",
       "2019-12-12 -0.25  0.25  0.25 -0.25\n",
       "2019-12-13  0.25 -0.25  0.25 -0.25\n",
       "...          ...   ...   ...   ...\n",
       "2021-06-01 -0.25  0.25  0.25  0.25\n",
       "2021-06-02 -0.25  0.25  0.25  0.25\n",
       "2021-06-03  0.25  0.25  0.25  0.25\n",
       "2021-06-04  0.25  0.25  0.25  0.25\n",
       "2021-06-07  0.25  0.25  0.25  0.25\n",
       "\n",
       "[376 rows x 4 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Here we concatenete the sentimental signals for each stock and dropn na's\n",
    "signals_sen = pd.concat([test_signal_sent_OCGN,\n",
    "                         test_signal_sent_HGEN,\n",
    "                         test_signal_sent_VUZI,\n",
    "                         test_signal_sent_DNN], axis=1)\n",
    "\n",
    "signals_sen=signals_sen.dropna()\n",
    "signals_sen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "1386a2a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We concatenate all the signals given by the ML code\n",
    "ml_signals = pd.concat([test_signal_OCGN, test_signal_HGEN, test_signal_VUZI, test_signal_DNN], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "a5dd4687",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We define the weights of each stock by the signal (if ML signal == 1, then -0.25)\n",
    "for col in ml_signals:\n",
    "    for i, row in ml_signals.iterrows():\n",
    "        if ml_signals.loc[i, col] ==1:\n",
    "            ml_signals.loc[i, col] = -0.25\n",
    "        elif ml_signals.loc[i, col] == 0:\n",
    "            ml_signals.loc[i, col] = 0.25\n",
    "        else:\n",
    "            ml_signals.loc[i, col] = \"ERROR!!\"\n",
    "            \n",
    "cols = signals_sen.columns           \n",
    "for col in ml_signals:\n",
    "    ml_signals[\"ml_\"+col.lower()] = ml_signals[col]\n",
    "    ml_signals.drop(col,axis=1, inplace=True)\n",
    "\n",
    "for col in signals_sen:\n",
    "    signals_sen[\"s_\"+col.lower()] = signals_sen[col]\n",
    "    signals_sen.drop(col,axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "c390f52a",
   "metadata": {},
   "outputs": [],
   "source": [
    "for col in ml_signals:\n",
    "    ml_signals[col.lower()] = ml_signals[col]\n",
    "    ml_signals.drop(col,axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "e023c66e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "8c4d2f8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>s_ocgn</th>\n",
       "      <th>s_hgen</th>\n",
       "      <th>s_vuzi</th>\n",
       "      <th>s_dnn</th>\n",
       "      <th>ml_ocgn</th>\n",
       "      <th>ml_hgen</th>\n",
       "      <th>ml_vuzi</th>\n",
       "      <th>ml_dnn</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-26</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-27</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-28</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-29</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-02</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-03</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-04</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-07</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-08</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>744 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            s_ocgn  s_hgen  s_vuzi  s_dnn  ml_ocgn  ml_hgen  ml_vuzi  ml_dnn\n",
       "date                                                                        \n",
       "2018-06-25     NaN     NaN     NaN    NaN     0.25     0.25    -0.25    0.25\n",
       "2018-06-26     NaN     NaN     NaN    NaN     0.25    -0.25    -0.25    0.25\n",
       "2018-06-27     NaN     NaN     NaN    NaN     0.25     0.25    -0.25    0.25\n",
       "2018-06-28     NaN     NaN     NaN    NaN     0.25     0.25    -0.25    0.25\n",
       "2018-06-29     NaN     NaN     NaN    NaN     0.25     0.25     0.25    0.25\n",
       "...            ...     ...     ...    ...      ...      ...      ...     ...\n",
       "2021-06-02   -0.25    0.25    0.25   0.25    -0.25     0.25    -0.25    0.25\n",
       "2021-06-03    0.25    0.25    0.25   0.25    -0.25    -0.25     0.25    0.25\n",
       "2021-06-04    0.25    0.25    0.25   0.25     0.25     0.25     0.25    0.25\n",
       "2021-06-07    0.25    0.25    0.25   0.25     0.25     0.25     0.25    0.25\n",
       "2021-06-08     NaN     NaN     NaN    NaN     0.25    -0.25    -0.25   -0.25\n",
       "\n",
       "[744 rows x 8 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_signal= pd.concat([signals_sen,ml_signals],axis=1)\n",
    "final_signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "6e682ac9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-77-732ea5ea18d2>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  final_signal[col] = \"ERROR\"\n"
     ]
    }
   ],
   "source": [
    "# Drop days where we do not have signals\n",
    "final_signal=final_signal.dropna()\n",
    "\n",
    "for col in cols:\n",
    "    final_signal[col] = \"ERROR\"\n",
    "    for i, row in final_signal.iterrows():\n",
    "        if final_signal.loc[i, \"ml_\"+col] == final_signal.loc[i, \"s_\"+col]:\n",
    "            final_signal.loc[i, col] = final_signal.loc[i, \"ml_\"+col]\n",
    "        else:\n",
    "            final_signal.loc[i, col] = 0\n",
    "\n",
    "            \n",
    "            "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "514c9c10",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>s_ocgn</th>\n",
       "      <th>s_hgen</th>\n",
       "      <th>s_vuzi</th>\n",
       "      <th>s_dnn</th>\n",
       "      <th>ml_ocgn</th>\n",
       "      <th>ml_hgen</th>\n",
       "      <th>ml_vuzi</th>\n",
       "      <th>ml_dnn</th>\n",
       "      <th>ocgn</th>\n",
       "      <th>hgen</th>\n",
       "      <th>vuzi</th>\n",
       "      <th>dnn</th>\n",
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       "    <tr>\n",
       "      <th>date</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-12-09</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-10</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-11</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-12</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-12-13</th>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-01</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-02</th>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-03</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>-0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-04</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-06-07</th>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>376 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            s_ocgn  s_hgen  s_vuzi  s_dnn  ml_ocgn  ml_hgen  ml_vuzi  ml_dnn  \\\n",
       "date                                                                           \n",
       "2019-12-09   -0.25    0.25    0.25  -0.25     0.25     0.25     0.25    0.25   \n",
       "2019-12-10   -0.25    0.25   -0.25  -0.25     0.25     0.25    -0.25    0.25   \n",
       "2019-12-11   -0.25    0.25    0.25  -0.25     0.25    -0.25     0.25   -0.25   \n",
       "2019-12-12   -0.25    0.25    0.25  -0.25     0.25    -0.25     0.25    0.25   \n",
       "2019-12-13    0.25   -0.25    0.25  -0.25     0.25     0.25     0.25   -0.25   \n",
       "...            ...     ...     ...    ...      ...      ...      ...     ...   \n",
       "2021-06-01   -0.25    0.25    0.25   0.25    -0.25     0.25     0.25    0.25   \n",
       "2021-06-02   -0.25    0.25    0.25   0.25    -0.25     0.25    -0.25    0.25   \n",
       "2021-06-03    0.25    0.25    0.25   0.25    -0.25    -0.25     0.25    0.25   \n",
       "2021-06-04    0.25    0.25    0.25   0.25     0.25     0.25     0.25    0.25   \n",
       "2021-06-07    0.25    0.25    0.25   0.25     0.25     0.25     0.25    0.25   \n",
       "\n",
       "            ocgn  hgen  vuzi   dnn  \n",
       "date                                \n",
       "2019-12-09     0  0.25  0.25     0  \n",
       "2019-12-10     0  0.25 -0.25     0  \n",
       "2019-12-11     0     0  0.25 -0.25  \n",
       "2019-12-12     0     0  0.25     0  \n",
       "2019-12-13  0.25     0  0.25 -0.25  \n",
       "...          ...   ...   ...   ...  \n",
       "2021-06-01 -0.25  0.25  0.25  0.25  \n",
       "2021-06-02 -0.25  0.25     0  0.25  \n",
       "2021-06-03     0     0  0.25  0.25  \n",
       "2021-06-04  0.25  0.25  0.25  0.25  \n",
       "2021-06-07  0.25  0.25  0.25  0.25  \n",
       "\n",
       "[376 rows x 12 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check final signal (the final 4 columns should be a xor operator of the first 8 columns)\n",
    "final_signal"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "a60a3c5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare signals dataframe\n",
    "signals = final_signal[['ocgn', 'hgen', 'vuzi','dnn']]\n",
    "signals = signals.astype(float)\n",
    "\n",
    "# Prepare test_data\n",
    "test_data = test_data.iloc[:-1 , :]\n",
    "test_data = test_data.reset_index()\n",
    "test_data.rename(columns = {'Date':'date'}, inplace = True)\n",
    "test_data = test_data.set_index('date')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "bf546ca9",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n",
    "# Machine Learning (LSTM) strategy\n",
    "ml_strategy = bt.Strategy('ml_strategy', [\n",
    "                                          bt.algos.WeighTarget(ml_signals),\n",
    "                                          bt.algos.Rebalance()])\n",
    "\n",
    "# Sentiment analysis strategy\n",
    "sen_strategy = bt.Strategy('sentan_strategy', [\n",
    "                                          bt.algos.WeighTarget(signals_sen),\n",
    "                                          bt.algos.Rebalance()])\n",
    "\n",
    "# Sentiment analysis and machine learning strategy\n",
    "mlsen_strategy = bt.Strategy('ml_sentan_strategy', [\n",
    "                                          bt.algos.WeighTarget(signals),\n",
    "                                          bt.algos.Rebalance()])\n",
    "\n",
    "# Benchmark (Buy and hold) strategy\n",
    "benchmark   = bt.Strategy(\"benchmark_buy_hold\",[bt.algos.RunWeekly(),\n",
    "                                                bt.algos.SelectAll(),\n",
    "                                                bt.algos.WeighEqually(),\n",
    "                                                bt.algos.Rebalance()])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "714767b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n",
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n",
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n",
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n",
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n",
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n",
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n",
      "C:\\Users\\fadom\\anaconda3\\envs\\ox\\lib\\site-packages\\ffn\\core.py:2299: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  res = np.divide(er.mean(), std)\n"
     ]
    }
   ],
   "source": [
    "# Backtest all 3 strategies + benchmark strategy\n",
    "mlsent_backtest = bt.Backtest(mlsen_strategy, test_data)\n",
    "benchmark_backtest = bt.Backtest(benchmark, test_data)\n",
    "sent_backtest = bt.Backtest(sen_strategy, test_data)\n",
    "ml_backtest = bt.Backtest(ml_strategy, test_data)\n",
    "\n",
    "# Run all 4 backtests\n",
    "ml_res      = bt.run(mlsent_backtest,benchmark_backtest,sent_backtest,ml_backtest )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "9ef30b6b",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stat                 ml_sentan_strategy    benchmark_buy_hold    sentan_strategy    ml_strategy\n",
      "-------------------  --------------------  --------------------  -----------------  -------------\n",
      "Start                2019-12-08            2019-12-08            2019-12-08         2019-12-08\n",
      "End                  2021-06-07            2021-06-07            2021-06-07         2021-06-07\n",
      "Risk-free rate       0.00%                 0.00%                 0.00%              0.00%\n",
      "\n",
      "Total Return         304.68%               6934.30%              140.00%            229.28%\n",
      "Daily Sharpe         1.46                  2.44                  1.04               1.23\n",
      "Daily Sortino        4.32                  7.93                  2.12               2.72\n",
      "CAGR                 154.32%               1611.79%              79.42%             121.61%\n",
      "Max Drawdown         -47.12%               -41.13%               -52.99%            -66.92%\n",
      "Calmar Ratio         3.28                  39.19                 1.50               1.82\n",
      "\n",
      "MTD                  10.39%                11.99%                7.81%              12.99%\n",
      "3m                   13.40%                51.98%                -16.23%            44.69%\n",
      "6m                   202.60%               1896.10%              51.27%             332.06%\n",
      "YTD                  71.08%                426.07%               9.00%              127.81%\n",
      "1Y                   215.36%               3313.87%              72.86%             267.70%\n",
      "3Y (ann.)            154.32%               1611.79%              79.42%             121.61%\n",
      "5Y (ann.)            -                     -                     -                  -\n",
      "10Y (ann.)           -                     -                     -                  -\n",
      "Since Incep. (ann.)  154.32%               1611.79%              79.42%             121.61%\n",
      "\n",
      "Daily Sharpe         1.46                  2.44                  1.04               1.23\n",
      "Daily Sortino        4.32                  7.93                  2.12               2.72\n",
      "Daily Mean (ann.)    124.42%               378.56%               114.79%            134.05%\n",
      "Daily Vol (ann.)     85.24%                155.19%               110.20%            108.88%\n",
      "Daily Skew           5.89                  5.86                  2.58               2.89\n",
      "Daily Kurt           53.49                 54.34                 23.19              24.72\n",
      "Best Day             55.75%                99.89%                54.41%             58.39%\n",
      "Worst Day            -9.91%                -23.46%               -37.43%            -38.35%\n",
      "\n",
      "Monthly Sharpe       1.34                  1.59                  1.14               1.09\n",
      "Monthly Sortino      7.08                  28.85                 4.06               3.01\n",
      "Monthly Mean (ann.)  139.42%               508.25%               124.00%            130.31%\n",
      "Monthly Vol (ann.)   104.04%               320.35%               108.32%            120.04%\n",
      "Monthly Skew         1.43                  2.49                  0.82               0.98\n",
      "Monthly Kurt         0.81                  5.42                  -0.78              1.25\n",
      "Best Month           81.43%                315.65%               68.46%             99.11%\n",
      "Worst Month          -16.79%               -17.41%               -22.88%            -44.23%\n",
      "\n",
      "Yearly Sharpe        1.98                  1.56                  0.78               1.10\n",
      "Yearly Sortino       inf                   inf                   inf                inf\n",
      "Yearly Mean          110.55%               778.89%               97.53%             77.72%\n",
      "Yearly Vol           55.81%                498.96%               125.21%            70.84%\n",
      "Yearly Skew          -                     -                     -                  -\n",
      "Yearly Kurt          -                     -                     -                  -\n",
      "Best Year            150.01%               1131.71%              186.07%            127.81%\n",
      "Worst Year           71.08%                426.07%               9.00%              27.63%\n",
      "\n",
      "Avg. Drawdown        -9.75%                -12.52%               -15.47%            -13.98%\n",
      "Avg. Drawdown Days   33.73                 17.74                 37.07              43.33\n",
      "Avg. Up Month        28.00%                68.28%                34.52%             31.78%\n",
      "Avg. Down Month      -8.86%                -9.50%                -13.85%            -15.30%\n",
      "Win Year %           100.00%               100.00%               100.00%            100.00%\n",
      "Win 12m %            100.00%               100.00%               100.00%            87.50%\n"
     ]
    },
    {
     "data": {
      "image/png": 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7wWCQt99+m2XLlm1TP4AJEybwwAMPUFNTA8CqVasoLy/n8MMP56WXXiIajVJTU8Mrr7zSuE8kEmHChAlcddVVXHLJJbv0nkREREQkQ2LV8M4d0P9w2HciFKbHueiK/eYaBj/pM6Zz67EL2tLMUjLshz/8IQsWLMBay3HHHceoUaM44IADWLp0KQcddBDWWkpLS3n++ed3eJwrrriCk046iV69evH2229z4IEHMmLECAYNGsT48eN3qW733HMPb7/9Nn6/n+HDh3PSSSfh8/kIBAKMGjWKSZMmUVRU1Gyf888/n1NPPZWxY8cyevToxsFVunXrxvjx49l///056aST+M1vfsPcuXP5yle+AkBubi7/+Mc/OPjggznttNMYNWoU/fv3Z+zYsRQUFDQ7/rPPPtvYh1BEREREOsn7v4O6DXDCLWAM5JRAMLtrBnMrp0FWERQP6uyatJnZ05NjY8eOtdOmTWtWNnfuXIYNG9ZJNZL2VFNTQ25uLnV1dRx55JHcf//9HHTQQYAblKWyspJbb711l46tz42IiIhIBsRr4TdDYN8T4ZyHtpT/cRx0Gwzn7XxU9z3Kn74C+b3hgn92dk22yxgz3Vq7TTtQZeZkj3LFFVfw+eefE41GufjiixsDuTPPPJNFixbxn//8p5NrKCIiIvIlt+ANSNTC2G81Ly/sDxXLOqdOuypWDeVzYdhpnV2TXaJgrgPcdtttPP30083KzjnnHH7yk590Uo22ePDBB/nd737XrGz8+PH88Y9/7JT6bG9S8ueee66DayIiIiIiLZrznBvwpP9hzcsL+8Gy9+GZS+Hgy6H/Vzq2XnWb4ItX4MALXNPP1lj9KWC75OAnoGCuQ/zkJz/ZIwK3llxyySUaUEREREREWidWA/PfcAGTz9/8tcJ+EK+B2f+E7G4dH8zNegZe+yEMOByKB7Zun5Vdd/ATUDAnIiIiIiKtUbEcXvkBJOthxJnbvj7yHKjfBLOfhYoVHV+/2nK3rFrd+mBu1XQ38El2cfvVqx21amoCERERERH5kvvn5bB0Mpxw67ZNLAHye8HxN0HpUKjsjGBuvVtWr9n+Nis+dgO4NFg1Hfp0zSaWoGBORERERER2pnYDrJgC478D46/bcZ+0wr6dlJnb4JbbC+ZqN8ADJ8LUv7jnlavctl20vxwomBMRERERkZ1Z+CZg3XQEO1PQF2KVEK1s92o105CZq9pOMFf+OVgP1s1xz7vwZOENFMztoqVLl7L//vu32/EHDBjAhg0b2u34DSZNmsQzzzzTqm3bs04PPfQQ11xzTZv22V59brrpJu68885MVU1ERETky2vZh/DitW5Qk5zu0HPUzvcp7OuWHZ2da2xmubrl18vnuuWGeW65chr4Q9BzZPvXrZ1oAJQvsWQy2dlVEBEREZE92bQHYNZTbn30BeBrRS6ooJ9bVq6Anu2X/NhGQzPLHWXmANbPB89z/eV6joRAuGPq1w66fjD32g2wdlZmj9lzJJx0x043SyaTXHzxxXz66afsu+++PPLII8ydO5fvf//71NTUUFJSwkMPPUSvXr04+uijGTduHG+//TYVFRX87W9/44gjjiCVSnH99dfz+uuvY4zh8ssv59prrwXgD3/4Ay+99BKJRIKnn36aoUOHctNNN7FkyRLWrFnD/Pnzueuuu/joo4947bXX6NOnDy+99BLBYJBbbrmFl156ifr6eg477DD+7//+D2MMRx99NIcddhjvv/8+p53WfHLEn/3sZ6xYsYIHHngA33b+R/3Nb37D22+/Dbg54QYPHsykSZM45ZRT+NrXvgZAbm4uNTU1XHjhhXzta1/j9NNPB+D888/n61//+jbnbbB69WomTpzIokWLOPPMM/nf//1fAB5//HFuv/12rLWcfPLJ/PrXv95m39tuu41HHnmEvn37UlpaypgxXTddLiIiIrLHWDsTug2BVBxGf7N1+3RGZi4RhViVW99ZZi5ZDxVL3RxzB17YIdVrL2pmuRvmzZvHFVdcwcyZM8nPz+ePf/wj1157Lc888wzTp0/n0ksvbTa/XDKZZOrUqdxzzz3cfPPNANx///0sWbKETz/9lJkzZ3L++ec3bl9SUsInn3zCVVdd1azZ4KJFi3jllVd44YUXuOCCCzjmmGOYNWsWWVlZvPLKKwBcc801fPzxx8yePZv6+npefvnlxv0rKip49913+Z//+Z/Gsh/96EeUl5fz4IMPbjeQA8jPz2fq1Klcc801fPe7393h9bnssst48MEHAaisrOSDDz7gq1/96na3nzFjBk8++SSzZs3iySefZMWKFaxevZrrr7+e//znP8yYMYOPP/6Y559/vtl+06dP54knnuDTTz/l2Wef5eOPP95hvURERESkFeJ1sGG+m4bguzNhwPjW7ZfT3TVfrFzevvVrqi6dlYsUQvVasLb569a6YK5HOlM45zlI1HXpwU9gb8jMtSKD1l769u3L+PHuQ33BBRdw++23M3v2bE444QQAUqkUvXr1atz+rLPOAmDMmDEsXboUgDfffJP/9//+H4GA+1MUFxe3uP2zzz7bWH7SSScRDAYZOXIkqVSKiRMnAjBy5MjG47799tv87//+L3V1dWzatIkRI0Zw6qmnAvD1r3+92fu49dZbGTduHPfff/9O3/M3vvGNxuX3vve9HW571FFHcfXVV1NeXs6zzz7L2Wef3fg+W3LcccdRUFAAwPDhw1m2bBkbN27k6KOPprS0FHDZvffee48zzjijcb///ve/nHnmmWRnZwNsN/MnIiIiIm3QMGBIrwPatp/PBwVlLjNXtRrye7dP/Zpq6C/X6wBY8h7UbYKcblter1rlMncjzoB1s2Hy71zAOfCo9q9bO+r6wVwnMlsNyZqXl8eIESP48MMPW9w+HHbtcf1+f2N/NWvtNsfZ0fZNy30+H8FgsHF/n89HMpkkGo3y7W9/m2nTptG3b19uuukmotFo4/45OTnNznPwwQczffp0Nm3a1CyY3Nl7blgPBAJ4ntf4fuLxeOM2F154IY8++ihPPPEEDzzwwA6P3fC+mr5nu/WvKq2ol4iIiIhkwJrP3LJnG4M5cCNafvEyfP48nPl/MOq8jFZtGw395Xqmg7nq1c2DubWz3bL/4ZBT6oK/Ay+EvB7tW692pmaWu2H58uWNgdvjjz/OoYceyvr16xvLEokEc+bM2eExTjzxRP785z83BmubNm3a7Xo1BG4lJSXU1NTsdLTKiRMncsMNN3DyySdTXV29w22ffPLJxuVXvvIVwI0qOX36dABeeOEFEolE4/aTJk3innvuAWDEiBFtfi/jxo3j3XffZcOGDaRSKR5//HGOOqr5LyhHHnkkzz33HPX19VRXV/PSSy+1+TwiIiIispW1M12zxcJ+bd+31wHgC7p9//1ziO34HnO3NQZz6ZEpq9ZAMg5fvApPXQRPXQjBHOg+DEr2A4ybM6+LU2ZuNwwbNoyHH36YK6+8kiFDhnDttdcyYcIErrvuOiorK0kmk3z3u9/dYRBz2WWXMX/+fA444ACCwSCXX355m4fo31phYSGXX345I0eOZMCAARx88ME73eecc86hurqa0047jVdffZWsrKwWt4vFYowbNw7P83j88ccBuPzyyzn99NM55JBDOO6445pl/nr06MGwYcOaNYtsi169evGrX/2KY445BmstX/3qVxsHVGlw0EEH8fWvf53Ro0fTv39/jjjiiF06l4iIiIg0sWamC452pQXUsT+Ho26A9V/AX4+D934DJ9yS+To2aGhm2ZBFfO838NyVUL/JZeLGfgsOugiyCmHcFTDkeCgZ0n716SCmtc3YOsvYsWPttGnTmpXNnTuXYcOGdVKNpC3q6uoYOXIkn3zySWN/uM6iz42IiIhIK6UScHsfOORymHDb7h3r+W/DzKfg6inQbZ/M1G9rb/wMpt4PN6yA/x0EXgL2+6pr3rnPseAPts95O4gxZrq1dpvRWtTMUtrNm2++ydChQ7n22ms7PZATERERkTbYMB9SMejViknCd+a4X0AgAq//ePePtT21G1wGLhCCb38IP5gP5zwI+07o8oHcjqiZpWzjzDPPZMmSJc3Kfv3rXzNhwoQ2Hef4449n+fLmQ9K+/vrrXH/99c3KBg4cyHPPPbdrlRURERGRzFsz0y13ZfCTreX1gKN+6PrOLXjTNXHMtNr1kFPi1hvmufsSUDAn22jPwGrChAltDgpFREREpIOtnQmBrMz1Kxt3FXzyCPzrBhj4gcugtUX1Osjtvv3+e9Vr3HQIXzJqZikiIiIiIs2tmQk9RoDPn5njBUIw4VewcQE8+jU3gXdrVa6Eu4fD7H+2/LqXgg0L9ooBTdpKwZyIiIiIiGxhLayd1fbJwndm3xPhpP9189f98/LW77fmM/CS8MUrLb++eanr31c6NCPV7EpaFcwZYwqNMc8YY74wxsw1xnzFGFNsjPm3MWZBelnUZPsbjTELjTHzjDETmpSPMcbMSr/2e6OZnkVERERE9iybl0KsMjODn2xt3JVwwLlQuaL1+6z/wi0Xv+2ycFtryPKVfvlGLW9tZu53wL+stUOBUcBc4AbgLWvtEOCt9HOMMcOB84ARwETgT8aYhvzsfcAVwJD0Y2KG3keXM2PGDF599dUOOddDDz3E6tWr27zf888/z+eff94ONRIRERGRPdbaDA5+0pLsbhCtgFSydduXp4O5+s2wesa2r69vCOb2zUTtupSdBnPGmHzgSOBvANbauLW2AjgdeDi92cPAGen104EnrLUxa+0SYCFwiDGmF5Bvrf3QusntHmmyz5fOnhLMpVIt/LqRpmBOREREZA+SSjbPTM1+Fp69wjWLzKQ1n4HxQ/fhmT1ug+xublm/acfb1W2CZMwFa71GAwYWvbXtduVfQEFfCOdluqZ7vNZk5gYB64EHjTGfGmP+aozJAXpYa9cApJfd09v3AZrmTVemy/qk17cu34Yx5gpjzDRjzLT169e36Q11hNraWk4++WRGjRrF/vvvz5NPPsn06dM56qijGDNmDBMmTGDNmjUAHH300Vx//fUccsgh7Lvvvvz3v/8lHo/z85//nCeffJLRo0fz5JNPMnXqVA477DAOPPBADjvsMObNmwe4QOyss85i4sSJDBkyhB/96EfbrVcqlWLSpEnsv//+jBw5krvvvptnnnmGadOmcf755zN69Gjq6+sZMGAAt9xyC4cffjhPP/00f/nLXzj44IMZNWoUZ599NnV1dXzwwQe8+OKL/PCHP2T06NEsWrSIRYsWMXHiRMaMGcMRRxzBF1+4X0kWLVrEoYceysEHH8zPf/5zcnNzAbjwwgt54YUXGut3/vnn8+KLL7bXn0VERERk7+Wl4JHT4LGvbyn76E8w80lYMTWz51oz0/U/C0Yye9wGDcFc3cbtb+Ol4L7x8Mr/uMFNBhwOvQ+EaQ/CpsXNt10/70vZXw5aNzVBADgIuNZaO8UY8zvSTSq3o6V+cHYH5dsWWns/cD/A2LFjd/hTw6+n/povNn2xo03abGjxUK4/5Prtvv6vf/2L3r1788orrhNmZWUlJ510Ei+88AKlpaU8+eST/OQnP+GBBx4AIJlMMnXqVF599VVuvvlm3nzzTW655RamTZvGvffeC0BVVRXvvfcegUCAN998kx//+Mf8859uxJ4ZM2bw6aefEg6H2W+//bj22mvp23fb+TNmzJjBqlWrmD17NgAVFRUUFhZy7733cueddzJ27JZJ4yORCJMnTwZg48aNXH6564T605/+lL/97W9ce+21nHbaaZxyyil87WtfA+C4447jz3/+M0OGDGHKlCl8+9vf5j//+Q/f+c53+M53vsM3vvEN/vznPzee47LLLuPuu+/m9NNPp7Kykg8++ICHH34YEREREWmjqX+BZe+7jFndJkglYOU099onj0C/cZk719qZsM+xmTve1loTzK2ZAdWr4dN/ANYFawecC4+cAQ+cBBe/CKX7pUeynA/7HN1+9d2DtSaYWwmstNZOST9/BhfMrTPG9LLWrkk3oSxvsn3TSKMMWJ0uL2uhvMsZOXIkP/jBD7j++us55ZRTKCoqYvbs2ZxwwgmAy5D16tWrcfuzzjoLgDFjxrB06dIWj1lZWcnFF1/MggULMMaQSCQaXzvuuOMoKCgAYPjw4SxbtqzFYG7QoEEsXryYa6+9lpNPPpkTTzxxu+/h61/f8qvO7Nmz+elPf0pFRQU1NTUtzgNXU1PDBx98wDnnnNNYFovFAPjwww95/vnnAfjmN7/JD37wAwCOOuoorr76asrLy3n22Wc5++yzCQQ0taGIiIhIm2xeBm/dDCX7usBl4ZuQjAIWyg6BOc/CxF9BJH/3z1W9DmrWtV9/OWhdMLfoP+mVdF6n+zA3IMukV+CR0+HBr8JFz0Os5ks7kiW0Ipiz1q41xqwwxuxnrZ0HHAd8nn5cDNyRXja0p3sReMwYcxfQGzfQyVRrbcoYU22MORSYAlwE/GF338COMmjtZd9992X69Om8+uqr3HjjjZxwwgmMGDGCDz/8sMXtw+EwAH6/n2Sy5Y6eP/vZzzjmmGN47rnnWLp0KUcfffQ2++/sGEVFRXz22We8/vrr/PGPf+Spp55qzA5uLScnp3F90qRJPP/884waNYqHHnqId955Z5vtPc+jsLCQGTNmtHi87bnwwgt59NFHeeKJJ7ZbFxERERHZDmvh5e+C8cH5z8Bfj4d5r7lgrqAvTLgd/nY8zH0JDjx/98/XMPhJe4xk2aAhmKvdsP1tFr3t6hDKg2WTXRYOoMdwuPRf8PBp8NDJEMp112Hoye1X3z1Ya0ezvBZ41BgzExgN3I4L4k4wxiwATkg/x1o7B3gKF+z9C7jaWtvQU/Mq4K+4QVEWAa9l5m10rNWrV5Odnc0FF1zAD37wA6ZMmcL69esbg7lEIsGcOXN2eIy8vDyqq6sbn1dWVtKnj+tC+NBDD+1SvTZs2IDneZx99tnceuutfPLJJy2ea2vV1dX06tWLRCLBo48+2mId8/PzGThwIE8//TQA1lo+++wzAA499NDGJqFPPPFEs2NPmjSJe+65B4ARI0bs0vsSERER2aN4KXj0XJj5dPuf67PHXZbq+JugqL+bq23uizDvVRh2GpSNhfwy9zwT1rj7O3qOzMzxWpJd7JZ12xkAJVoFK6bAPse5jOPEXzcf3KTbPnDpa5BVBLXr4dyH3fqXUKvavFlrZwBjW3jpuO1sfxtwWwvl04D921C/PdKsWbP44Q9/iM/nIxgMct999xEIBLjuuuuorKwkmUzy3e9+d4fByzHHHMMdd9zB6NGjufHGG/nRj37ExRdfzF133cWxx+5aG+VVq1ZxySWX4HkeAL/61a8AF1D9v//3/8jKymoxe3jrrbcybtw4+vfvz8iRIxsDuPPOO4/LL7+c3//+9zzzzDM8+uijXHXVVfzyl78kkUhw3nnnMWrUKO655x4uuOACfvvb33LyySc3NgkF6NGjB8OGDeOMM87YpfckIiIisseZ/y9Y8DrklMIB5+x8+11VUw7/uhH6Hgpjv+XKRn3DZeEOvhyO+B8wBvY7CWY8Col6CGbt3jnXfAZFAzPTZHN7AmGXcWupmeWamfDGT9wk4YOPdxOXtzR5eWE/uOIdd40asnZfQsZmeijTDBs7dqydNm1as7K5c+cybNiXb1LAPVVdXR1ZWVkYY3jiiSd4/PHHG0exrKurY+TIkXzyySfNgrzOoM+NiIiIZMSDJ7umf4NPgAueab/zPHWxa1J51ftQMmT72y18C/5xFnzjSdhvN6Zxthbu3Bf2OQbOun/Xj9Mavxvl+vud/Rf3vGIFvH0bfPYEZBXC0TfCIVe4YFUwxky31m6TXNNoFLLbpk+fzjXXXIO1lsLCwsa+cW+++SaXXnop3//+9zs9kBMRERHJiDWfuUDO+KC2vPlr1rqJrRuaEe6OuS/D58/DsT/bcSAHMOAICOfDvFd2L5jbtNi9p35f2fVjtFZ2ty2ZuSXvwT/c6Okcdq3LOGYVtn8d9gIK5rqocePGNY4m2eDvf/87I0e2Y/vm7TjiiCMa+881dfzxx7N8+fIOr4+IiIhIu/nwT27QjX2OhZUfu6aNL38fjvkxrP4EnroIxlwCJ9wMkV38Mbu+ws2v1mMkjP/OzrcPhFyTxHn/As8DX2uHxdjKsvfdsv/4Xdu/LbK7uVEzAb54BXx+uHqKaz4praZgrouaMmXKzjcSERER6erqNkH5527SaHDZr8oVnXPTX70WZv8TDv4WhHJcELLqE/jsMegxAipXunngPnkY5r8Op9zl+rO11Sv/4wb2+OYT4A+2bp+hJ7spClZNg76HtP2cAMs+hOySnWcCMyG7G5TPdesVy6FogAK5XbCLYbuIiIiISAd4+zY3BP2y9CBuC96Ae0bCPy9zTRo70tS/uIE5xl0JuT3ApmD1p+61tTNh3WzoPRoue9ONrvj4efDMpZCM7fCwzcx8CmY/A8fcCL0PbP1+g48HX8AFmLtq2fvQ79CO6afWtJllxXIo7N/+59wLKZgTERERkT2Tta7pIMBL17mgaOU0wMCc5+C+8bD4ndYfL1EP790Jm5e2vS6Jepj2gMuAFQ9yI1mCa2oJbhTGdXNchq7PGDfS4uHfd5m8+f9q3TlqN8JrP4K+49y+bZFV6JpHztvFmb9qN0LFMnfujpBdDIk6iNelgzll5XaFgjkRERER2TOtnQVVK2HEmbBhvstarZ/r5hn71r8hmA2PnO6G708ld3ysuk1u2//cClN2YaTGz56A+k1w6FXueW4Pt2wI5tbPda/3SM/CFQjB4d9z65uWtO4cb/4cYtVwyj2uD1lbDT0ZNsyDjYvavm9D/7WCPm3fd1c0TBy+aTHEqhTM7SIFcyIiIiKyZ5r3GmDcpNHZ3WD5R1D+BZQOhT4HwZXvwdhL4aM/uZEcd+Tl77omkTndXZPItrAWProPeh6wZXCQhmCuapWrY4MeTeYZjuS7em9uRTBXuRI+/QeM+3/QY3jb6tegoX/erjS1bGjymF2ya+duq4bzrJrulkVqZrkrFMyJiIiIyJ5p/mtQNhbyekDZwW5KgE2LoXt63thQNhz3C7desWL7x/n8Rfj8BTj6BhfwrJ3lArTW2rTYZbzGTNrSnyy3+5bXmw440n2rQKxoQOuadS580y0PvKD19dpaYT/oORLmvdr2fes2uGVOBwVzxYPccu5LbqnM3C5RMNeOHnroIa655po27TNjxgxefbXt/wMuXbqUxx57rM37iYiIiOyRqta4TNq+6XnTyg52QZFNucxcg0gB+MNbmglurW6TGx2y5wFw2HUu2IlWpDNqrVS91i0bAhCAcB4EIm69YZ63/D7bzjFXNLB1zSwXvuX2b/redsV+X4UVU6B2Q9v2a9i+oflje+s+DPJ6bwliFcztEgVze5gdBXPJ5PbbgiuYExERkb3KgtfdsqHpYNnBW15rGvAY45o81mw1gXeD13/i+rKd/kc3zH/PA1z52lmtr0v1GrfM67nVedPZuaIBbt65QUdvu2/RANeEMpXY/vFTSVj8rjvG7o4kud9XwXptHwilbpNbdlQwZwwMOQGwEC5wo39Km3X5eebW3n47sblfZPSY4WFD6fnjH+9wm6VLlzJx4kQOP/xwPvroI0aNGsUll1zCL37xC8rLy3n00Ud3ep6nn36am2++Gb/fT0FBAW+++SY///nPqa+vZ/Lkydx4443MnTuX1atXs3TpUkpKSrj99tu58MILqa2tBeDee+/lsMMO44YbbmDu3LmMHj2aiy++mOuuu44bbriBd955h1gsxtVXX82VV16J53lcc801vPvuuwwcOBDP87j00kspKiri3nvv5bnnngPg3//+N/fddx/PPvvs7l9QERERkbaa9xoU9NvSbLHPGDA+wGw7D1pu95YzcwvedHPAHfED6JUO4noMd8dYO6v1c8A1HLtpMAcuiKxY7vp7nftwy/sWDXDZxMqVUDyw5W1WTYNYJQw+rnX12ZFeo6DbEJj6fzDyHJj1tFsGIzver25DOsvZynntMmHICW5OPmXldlmXD+Y608KFC3n66ae5//77Ofjgg3nssceYPHkyL774IrfffjtnnHHGDve/5ZZbeP311+nTpw8VFRWEQiFuueUWpk2bxr333gvATTfdxPTp05k8eTJZWVnU1dXx73//m0gkwoIFC/jGN77BtGnTuOOOO7jzzjt5+eWXAbj//vspKCjg448/JhaLMX78eE488USmT5/O0qVLmTVrFuXl5QwbNoxLL72UY489lquvvpr169dTWlrKgw8+yCWXXNLel1BERERkW/E6N+XAQRdvyVSFc6H7CEhGIRBuvn1uj237pcWq3aAnJfvBUT/aUh7Oc0FVWwZBqV7jmnJGCrc9L+x4jrSGAG7zku0HcwvfcoFqS5m9tjLGjaL5wrfhwYmuqWokH4afvuP9ajd0XFauwcCj3Nx4CuZ2WZcP5naWQWtPAwcOZOTIkQCMGDGC4447DmMMI0eOZOnSpTvdf/z48UyaNIlzzz2Xs846a7vbnXbaaWRlZQGQSCS45pprmDFjBn6/n/nz57e4zxtvvMHMmTN55plnAKisrGTBggVMnjyZc845B5/PR8+ePTnmmGMAMMZw4YUX8o9//INLLrmEDz/8kEceeaQtl0NEREQkM5a864K2/SY2Lz/p15BqYQLu3O6un1hTH9zrsmHfemPb4K/HCCif2/r6VK9zWbmtm0Dmdgfjd33dtqdogFvuaBCURW9Bn7GZa2p4wLnwzq+2TGi+afHO96nb2HEjWTaI5MOEX22baZVW6/LBXGcKh7f8w+Dz+Rqf+3y+HfZva/DnP/+ZKVOm8MorrzB69GhmzJjR4nY5OTmN63fffTc9evTgs88+w/M8IpGWU+bWWv7whz8wYcKEZuWvvLL9oWovueQSTj31VCKRCOeccw6BgD4eIiIi0gnmvQahPOh/ePPyAeNb3j63hwtGUoktzQTXz3VBQtORJptuv3Ry6+tTvWbbJpYAB1/ugjD/Du6Z8nqBP7T9YK52I6z6xI20mSn+IJx+r5sD76M/tz6Y64wM2bgrOv6cexENgNKJFi1axLhx47jlllsoKSlhxYoV5OXlUV1dvd19Kisr6dWrFz6fj7///e+kUimAbfabMGEC9913H4mE62w7f/58amtrOfzww/nnP/+J53msW7eOd955p3Gf3r1707t3b375y18yadKkdnnPIiIiIjvkeTD/XzD4WDfxdmvkdgds8xEca9ZDTmnL20cKIFrZ+ukJata1HMz1GA4Hnr/jfX1+FyRtL5hb/DZgYfDxratLaw06Go78oRuBszWjadZu2HYkTtnjKZjrRD/84Q8ZOXIk+++/P0ceeSSjRo3imGOO4fPPP2f06NE8+eST2+zz7W9/m4cffphDDz2U+fPnN2btDjjgAAKBAKNGjeLuu+/msssuY/jw4Rx00EHsv//+XHnllSSTSc4++2zKysoay8aNG0dBQUHj8c8//3z69u3L8OG7OFmliIiIyO5Y86kLnvb7auv3aei71nQQlNryHQRzhW7Ex3hN645fvQ5yWwjmWiuvlztGSxb9xzWv7H3grh9/R1oTzFnbOc0sZbepHd0uGjBgALNnz258/tBDD7X42o4yXC2NFFlcXMzHH3+83X2GDBnCzJlbOuz+6le/AiAYDPLWW2812/b222/n9ttv3+YYd955J7m5uWzcuJFDDjmksd8fwOTJk7n88su3e34RERGRdjXvX24wkCEntn6fhmDui1fcnHIXvQC165tP7N1UJP1Ddn2FGxBlR+J1bqTJvB6tr8/WckphzYxty611g58MOtpl8NpD8SCY+QQk6iGY1fI2sSrwEh03YbhkjIK5L6FTTjmFiooK4vE4P/vZz+jZ0/3SNGbMGHJycvjtb3/byTUUERGRL635r0HfcW1r8tcQtH30J5dtWzvLNaPM2U4wl1XoltFKoO+Oj12TnjA8r1fr69NS/WrWb1u+bo47fqabWDbVOJrmMui+nQnJO3rCcMkYBXMd4LbbbuPpp59uVnbOOefwk5/8pFPq07SfXFPTp0/v2IqIiIiINFW50gVix9/ctv0agrmGZpOrP0mX76DPHEC0YufHrk4Hc7m7mZmLV2+bHVuUblW1z7G7fuydKR7klpuXbD+Ya5wwXJm5rqbLBnPWWszWw8PuoX7yk590WuAmjm1tB2cRERHpPPNec8u29JcDFyCFC1xzSIBV6R+ot5eZawzmKnd+7OoMZebA9en7+G9u6oCeI10Ty+7DIb/3rh97ZxqCuR2NaFmXzszlKDPX1XTJAVAikQgbN27UDbq0irWWjRs3bncaBxEREdlDzP+XCz52Zd6x3O5uYu9gzpZgbrt95grdsk3B3G4MgNIQVK6ZCR/8HqY/BPFaWP4hDD5u14/bGllFLnjdUTCnZpZdVpfMzJWVlbFy5UrWr2+h7bFICyKRCGVlZZ1dDREREdmeRD0sec/N3bYrra/6jnNzyq2eAeVzXNn2BvRoOgDKztSsdfPE7c6E3g1BZcPE5is/dvPcpeKwTzsHc8ZA6TB3zu2p2+iWambZ5bQqmDPGLAWqgRSQtNaONcYUA08CA4ClwLnW2s3p7W8EvpXe/jpr7evp8jHAQ0AW8CrwHbsL6bVgMMjAgQPbupuIiIiI7Kk2LXbBTdmYXdv/jD+65WNfbxLMZaiZZW7PXQswGzQEc8s/cst1c+CLlyGQBf2+suvHba2hX4V//9zNdVc0YNvXa9dDMBtCOe1fF8motjSzPMZaO9paOzb9/AbgLWvtEOCt9HOMMcOB84ARwETgT8aYhrFW7wOuAIakHxN3/y2IiIiISJfX0AywoY/XripIj04ZyoVQdsvb+PwQzm/9ACi7My0BbJnvbs1nbukl4bMnYOAREOyAbiDDTnPLuS+3/HrNOhdwdpHxKGSL3ekzdzrwcHr9YeCMJuVPWGtj1tolwELgEGNMLyDfWvthOhv3SJN9REREROTLrCGYK9rN1leF6WBuexOGN4gUtC4zV7Nu9/rLAQTC7nxeArLSUy50RBPLBsUD3YArc19s+fXqtbs3Wqd0mtYGcxZ4wxgz3RhzRbqsh7V2DUB62ZDH7gOsaLLvynRZn/T61uXbMMZcYYyZZoyZpn5xIiIiIl8Cmxa7ATga5oDbVQ2Zue0NftIgUtjKZpZrXDPL3dXQ5LPPQVDYz6239+AnTQ0/3fXZK/9i29dqyhXMdVGtDebGW2sPAk4CrjbGHLmDbVvKz9odlG9baO391tqx1tqxpaU7+VVFRERERLq+TYt3v4klQGF/t2xNZm5nA6Ak6l3At7uZOdgSXBYNhIFHQrch0G3w7h+3tcZc6pqWvtXCHH416xTMdVGtCuastavTy3LgOeAQYF266STpZXl685VA3ya7lwGr0+VlLZSLiIiIyJfdpiUZCuZamZnLKtx5Zi4T0xI0aAguiwfBSb+Bb73RsX3UcrrB+O/AvFdh2YdbypMx13dQwVyXtNNgzhiTY4zJa1gHTgRmAy8CF6c3uxh4Ib3+InCeMSZsjBmIG+hkaropZrUx5lDjZvu+qMk+IiIiIvJllYhC5crMBHM5pW7Exp4H7Hi7SMHOB0CpWeeWmczMFQ9yA7NkF+/+Mdvq0G+7JqNv/gIaBpSvKW9eP+lSWjM1QQ/gORd/EQAes9b+yxjzMfCUMeZbwHLgHABr7RxjzFPA50ASuNpam0of6yq2TE3wWvohIiIiIl8mnzwCMx6D4WfAIVdAxTLAZiaYMwa+89nOt2vNACjVa9wyk33mijtxeq1QNhxzI7z0HfjiFRh2SpNgTpm5rminwZy1djEwqoXyjUCLvTattbcBt7VQPg3Yv+3VFBEREZG9xsI33Zxryz+E/F5uUm7ITDDXWpFCiNdAKgn+7dwSVzdk5nrt/vmGHA/ln3fse2zJ6Avgwz+6vnP7TtySfVRmrkvanakJRERERETaLlYNvUe77NiCf7sgBzo4mNvBxOHRSvjPL92gLL5gZppE9j4QznkQ/MHdP9bu8AfguF/Ahvkw49EmwZwyc11Ra5pZioiIiIhkTqwasopg0DEuSxcpgD5jO7YfWcMUCNEKNzhIU/P+Be/9BgIRF+TsbZNpDz0Zyg6Bd34FB3zdle1s9E/ZIykzJyIiIiIdK1YN4TwYfLzrl7b+Czjowo6tw44ycxvmu2UympnBT/Y0xsDxN7lrP/1BN5F5INTZtZJdoGBORERERDpWrBpCeVsmzQ5mw4izOrYORQPccsl72762YR6Y9G3y3hjMAfQ/DHqNytw8etIpFMyJiIiISMeK1bjMXH5vGHgUjJkEkfyOrUP3YbDPsfDBHyBe1/y1DQtgyIlueoM+Yzq2Xh3FGDjkSreuwU+6LAVzIiIiItJxrIVYlQvmAC5+ESb+qnPqctT1ULfBje7YIJWEjYugdChc+R4c8f3OqVtH2P8s11eusH9n10R2kQZAEREREZGOE68F7JZgrjP1OxSGnQpv/xKCWXDYNbB5KXgJKNl37xv4ZGvBLLj8bQjndnZNZBcpmBMRERGRjhOrdss9IZgDOPtv8Ozl8MZPoH4z9DnIlZfu17n16iiFfTu7BrIbFMyJiIiISMfZ04K5QBi+9iC89B34751Q2M+VdxvcufUSaQUFcyIiIiLScRqDuQ4e8GRHfH447Q9u7rkP/uDmlmuYh05kD6ZgTkREREQ6TqzKLfeUzFwDY+CEW6GgL3jJzq6NSKsomBMRERGRjrOnNbNsyhgYd2Vn10Kk1TQ1gYiIiIh0nMZgTiMoiuwuBXMiIiIi0nH2xD5zIl2UgjkRERER6TjxdDAXUmZOZHcpmBMRERGRjhOrhkAEAqHOrolIl6dgTkREREQ6Tqx6zxz8RKQLUjAnIiIiIh1HwZxIxiiYExEREZGOo2BOJGMUzImIiIhIx4lVayRLkQxRMCciIiIiHSdWpcycSIYomBMRERGRjqNmliIZo2BORERERDpOrFpzzIlkSKuDOWOM3xjzqTHm5fTzYmPMv40xC9LLoibb3miMWWiMmWeMmdCkfIwxZlb6td8bY0xm346IiIiI7NGUmRPJmLZk5r4DzG3y/AbgLWvtEOCt9HOMMcOB84ARwETgT8YYf3qf+4ArgCHpx8Tdqr2IiIiIdB3JGKTiCuZEMqRVwZwxpgw4Gfhrk+LTgYfT6w8DZzQpf8JaG7PWLgEWAocYY3oB+dbaD621FnikyT4iIiIisreL1bilRrMUyYjWZubuAX4EeE3Kelhr1wCkl93T5X2AFU22W5ku65Ne37p8G8aYK4wx04wx09avX9/KKoqIiIjIHi1W5ZbKzIlkxE6DOWPMKUC5tXZ6K4/ZUj84u4PybQutvd9aO9ZaO7a0tLSVpxURERGRPVqs2i0VzIlkRKAV24wHTjPGfBWIAPnGmH8A64wxvay1a9JNKMvT268E+jbZvwxYnS4va6FcRERERL4MFMyJZNROM3PW2huttWXW2gG4gU3+Y629AHgRuDi92cXAC+n1F4HzjDFhY8xA3EAnU9NNMauNMYemR7G8qMk+IiIiIrK3UzAnklGtycxtzx3AU8aYbwHLgXMArLVzjDFPAZ8DSeBqa20qvc9VwENAFvBa+iEiIiIiXwaNwZwGQBHJhDYFc9bad4B30usbgeO2s91twG0tlE8D9m9rJUVERERkL6ABUEQyqi3zzImIiIiI7LrGzFxu59ZDZC+hYE5EREREOkasGowPgtmdXRORvYKCORERERHpGLFq18TStDRjlYi0lYI5EREREekY8RoNfiKSQQrmRERERKRjxKo0+IlIBimYExEREZGO0dDMUkQyQsGciIiIiHQMBXMiGaVgTkREREQ6hoI5kYxSMCciIiIiHUPBnEhGKZgTERERkY4Rq4aQgjmRTFEwJyIiIiLtz0ulpyZQMCeSKQrmRERERKT9xWvcUsGcSMYomBMRERGR9herdksFcyIZo2BORERERNpfTJk5kUxTMCciIiIi7a8xM5ffufUQ2YsomBMRERGR9hercktl5kQyRsGciIiIiLQ/9ZkTyTgFcyIiIiLS/hTMiWScgjkRERERaX8K5kQyTsGciIiIiLS/hmAulNu59RDZiyiYExEREZH2F6uCYDb4A51dE5G9hoI5EREREWl/sWo1sRTJMAVzIiIiItL+FMyJZNxOgzljTMQYM9UY85kxZo4x5uZ0ebEx5t/GmAXpZVGTfW40xiw0xswzxkxoUj7GGDMr/drvjTGmfd6WiIiIiOxRFMyJZFxrMnMx4Fhr7ShgNDDRGHMocAPwlrV2CPBW+jnGmOHAecAIYCLwJ2OMP32s+4ArgCHpx8TMvRURERER2WPFaxTMiWTYToM569SknwbTDwucDjycLn8YOCO9fjrwhLU2Zq1dAiwEDjHG9ALyrbUfWmst8EiTfURERERkbxarhnB+Z9dCZK/Sqj5zxhi/MWYGUA7821o7BehhrV0DkF52T2/eB1jRZPeV6bI+6fWty1s63xXGmGnGmGnr169vw9sRERERkT1SrEqZOZEMa1UwZ61NWWtHA2W4LNv+O9i8pX5wdgflLZ3vfmvtWGvt2NLS0tZUUURERET2ZOozJ5JxbRrN0lpbAbyD6+u2Lt10kvSyPL3ZSqBvk93KgNXp8rIWykVERERkb2atC+Y0YbhIRrVmNMtSY0xhej0LOB74AngRuDi92cXAC+n1F4HzjDFhY8xA3EAnU9NNMauNMYemR7G8qMk+IiIiIrK3SkbBSyozJ5JhgVZs0wt4OD0ipQ94ylr7sjHmQ+ApY8y3gOXAOQDW2jnGmKeAz4EkcLW1NpU+1lXAQ0AW8Fr6ISIiIiJ7s1i1WyqYE8monQZz1tqZwIEtlG8EjtvOPrcBt7VQPg3YUX87EREREdnbNAZzGs1SJJPa1GdORERERKTNYlVuqcycSEYpmBMRERGR9qVmliLtQsGciIiIiLSvWI1bKpgTySgFcyIiIiLSvpSZE2kXCuZEREREpH019pnTACgimaRgTkRERETalzJzIu1CwZyIiIiItK9YNfgCEAh3dk1E9ioK5kRERESkfcWqXVbOmM6uicheRcGciIiIiLSvhmBORDJKwZyIiIiItK9YtQY/EWkHCuZEREREpH3FqpSZE2kHCuZEREREpH0pmBNpFwrmRERERKR91W6AnNLOroXIXkfBnIiIiIi0H8+DmnWQ272zayKy11EwJyIiIiLtp34zeEnI7dnZNRHZ6yiYExEREZH2U7PWLZWZE8k4BXMiIiIi0n6q08FcnjJzIpmmYE5ERERE2k9NuVvm9ujceojshRTMiYiIiEj7aWxmqWBOJNMUzImIiIhI+6leB6FcCOd2dk1E9joK5kRERESk/dSsU1ZOpJ0omBMRERGR9qNgTqTdKJgTERERkfZTvRbyFMyJtIedBnPGmL7GmLeNMXONMXOMMd9JlxcbY/5tjFmQXhY12edGY8xCY8w8Y8yEJuVjjDGz0q/93hhj2udtiYiIiMgeoaZcE4aLtJPWZOaSwP9Ya4cBhwJXG2OGAzcAb1lrhwBvpZ+Tfu08YAQwEfiTMcafPtZ9wBXAkPRjYgbfi4iIiIjsSeK1EK/WhOEi7WSnwZy1do219pP0ejUwF+gDnA48nN7sYeCM9PrpwBPW2pi1dgmwEDjEGNMLyLfWfmittcAjTfYRERERkb2NJgwXaVdt6jNnjBkAHAhMAXpYa9eAC/iAhp9c+gArmuy2Ml3WJ72+dXlL57nCGDPNGDNt/fr1bamiiIiIiOwp1s12y6KBnVsPkb1Uq4M5Y0wu8E/gu9baqh1t2kKZ3UH5toXW3m+tHWutHVtaWtraKoqIiIjInuCzJ2DjIljwbwjnQ9nYzq6RyF4p0JqNjDFBXCD3qLX22XTxOmNML2vtmnQTyvJ0+Uqgb5Pdy4DV6fKyFspFREREZG+RqIfn/h/0+wpsXgqDjgZ/sLNrJbJXas1olgb4GzDXWntXk5deBC5Or18MvNCk/DxjTNgYMxA30MnUdFPMamPMoeljXtRkHxERERHZG2xeClhY/gFUr4YhJ3Z2jUT2Wq3JzI0HLgRmGWNmpMt+DNwBPGWM+RawHDgHwFo7xxjzFPA5biTMq621qfR+VwEPAVnAa+mHiIiIiOwtNi1xS18AvCQMPr5z6yOyF9tpMGetnUzL/d0AjtvOPrcBt7VQPg3Yvy0VFBEREZEuZNNitzzp17BhIeT36tz6iOzFWtVnTkRERESkVTYvgUghHHxZZ9dEZK/XpqkJRERERER2aNNiKNZUBCIdQcGciIiIiGyftTD/dfjH2TDn+Z1vv2mJ5pUT6SAK5kRERESkZcs/gge/Co+dC0snw9MXw+S7t799KgEVy6F4UMfVUeRLTMGciIiIiDRXtwke/wY8MAE2LYKT74IfLYb9ToZ3fg3Rypb3q1wBNqVmliIdRMGciIiISFdXuQq81M6325G6TfDGT2HBv+GZS2HhW3Dcz+G6T+Hgb0EoB476ESTrYeZTLR9jwwK3VGZOpEMomBMRERHpKJ4HfzkWPn8hc8dc8xncs7/r07Z5mTvH1hL1kIy1vH99BUx7EO4bDx/8AR79Gix+G06+E474HxfENeg9GnqNhukPbRs8rvgYXrgGIgXQfVhm3puI7JCmJhARERHpKPEaWDUdlvwXhp++e8dKJdzE3NMfAl8Qln0AvzsA/CHI7wMFZTDoKDjsOrj/GKhdD4ddA+Oucvstegs+exy+eBVSMegxEs59GJa9D9aDgy5q+bxjL4WXroP/HQQn3uq2m/UMPP9tyOsJF78IWUW7995EpFUUzImIiIh0lFi1W1au3L3jbFriBibpfSAseQ/2PwsO/55br1zhjr9xIfznlzDvNVg/F/qOgzdvgukPQ7wWasshqxjGTIJR57ljGQN9D9nxuQ+6CCL5MOV+ePl7bpCUGY9C//Fw7t8hp9vuvTcRaTUFcyIiIiIdJVbllrsTzFWvc00qY1Uw7xVXdtDFULqfezSwFp68AL54GYaf4bJuC9+E/9wGPUbA6G/C4BMgEGrb+Y2BEWfCPsfC/Ue7QO7AC90gKW09lojsFgVzIiIiIh2lMTO3Ytf2Xz0Dnvgm1G+GC59zE3Sv/Bj6HbrttsbAGffB1NFw0CRXNvh498iESAFc9AKsmQlDT3bnE5EOpQFQRERERDpKQ2YuWrElsGtQsQL+fDhMe6Dlfec8Bw9MBAxc+roL4EZ/E065e/uBVCQfjvwh5JZm6h00V9gPhp2iQE6kkygzJyIiItJRmgZwlaug+1C3Hq9zGbe1s+Dl77sRKqtWw1fvhIK+8O4d8O6vXb+3r/8Dcrt3Tv1FZI+iYE5ERESkozQL5la6YM5aeOFqF8id8zB8eC988nc34uTTk9yolHNfhNEXwCl3QSDcadUXkT2LgjkRERGRjtIsmEv3m5t8N8x5Fo77BYw4A/Y7yc0Jt+RdN4DJmhkw4XY49NtqzigizSiYExEREekoDcGc8bvM3Lx/wVu3wP5nu6kFwGXeAmEYdiqceT/k94KBR3ZenUVkj6VgTkRERKSjxKohmAPZxbD0vzDl/6DXAXDavS1n3UZ9vePrKCJdhkazFBEREekosSoI57l+cCumQDACX38UQtmdXTMR6YIUzImIiIh0lFi1C+aKBoIvCOf+HQr7dnatRKSLUjNLERERkY7SEMwd+1M45DLoM6azayQiXZiCOREREZGOEqt2E3kX9HEPEZHdoGaWIiIiIh2lITMnIpIBOw3mjDEPGGPKjTGzm5QVG2P+bYxZkF4WNXntRmPMQmPMPGPMhCblY4wxs9Kv/d4YTZQiIiIiXzKxagjnd3YtRGQv0ZrM3EPAxK3KbgDestYOAd5KP8cYMxw4DxiR3udPxhh/ep/7gCuAIenH1scUERER2bs1jGYpIpIBOw3mrLXvAZu2Kj4deDi9/jBwRpPyJ6y1MWvtEmAhcIgxpheQb6390FprgUea7CMiIiKy97NWzSxFJKN2tc9cD2vtGoD0snu6vA+wosl2K9NlfdLrW5eLiIiIfDnEa8F6CuZEJGMyPQBKS/3g7A7KWz6IMVcYY6YZY6atX78+Y5UTERER6TSxardUMCciGbKrwdy6dNNJ0svydPlKoOnMl2XA6nR5WQvlLbLW3m+tHWutHVtaWrqLVRQRERHZgzQGcxoARUQyY1eDuReBi9PrFwMvNCk/zxgTNsYMxA10MjXdFLPaGHNoehTLi5rsIyIiIrL3U2ZORDJsp5OGG2MeB44GSowxK4FfAHcATxljvgUsB84BsNbOMcY8BXwOJIGrrbWp9KGuwo2MmQW8ln6IiIiIfDnEqtxSwZyIZMhOgzlr7Te289Jx29n+NuC2FsqnAfu3qXYiIiIiewtl5kQkwzI9AIqIiIiItETBnIhkmII5ERERkY5QtQowkNN9p5uKiLSGgjkRERGRjlA+F4r6Qyi7s2siInsJBXMiIiIiHWH9PCgd2tm1EJG9iII5ERERkfaWSsLGBVC6X2fXRET2IgrmRERERNrb5iWQikPpsM6uiYjsRRTMiYiIiLS38rluqcyciGSQgjkRERGR9rZ+nlsqmBORDFIwJyIiItKerIW1M6GwH4RyOrs2IrIXCXR2BURERET2ShsXwayn3WPjQhh5bmfXaI+S8ix+n2lWtmRDLWsq6qmNp6iLJ6mNuaW10Kcoi3175DGwJGeb/US+rBTMiYjIrqmvgP/80jUbO/gyMC3cXMWqoW4T5PWCQKj5azXrYc1nsPYzWDsbBh0NYy7uiJqLtK/6zfDUxbDkXcDAgMPhsOtg/7M7u2Z7BGst33/qM56fsYpe+REmjR/AMft15+npK7n/vcU73T875Gdw91zCAR/GGHwGQgE/544t44ghpVTVJ+hbrLn85MtBwZyIiLTdsg/g2SugcoV7vvS/cOi3oXYDrJkB6z6HdbOhYpl73fig7zjY7yTI6Q6T74IN87ccL6sY5jwL/hCM/kaHvx2RjKndAI+dC2tnwXG/gAO+DgV9OrtWe5T73l3Ec5+u4ozRvdlQE+f2V7/g9le/AOCb4/px2qje5IQCZIf95IYDZIf8eBZWbKrji7XVzF5VyaL1NaQ8i2ctnoXlG2u55rFPG88xYUQPDigrJJ70KMoOUpQToig7RL/ibAaU7JlNXa21rKqo54UZq1mxqY78rCApz5JMecRTlkTKI5HyyIsE6FuUTXU0yWcrK1i5uZ7skJ+RfQo4dFA3xg0qpldBVme/Hekgxlrb2XXYobFjx9pp06Z1djVERAQglYB3fw3//S0U9oez/gJL3oH37oRk1G1jfNBtCPQYDj1GuOBt8xJY+Ka7wQXoPhxGfxN6jYKeIyGYA/84ywWF/ce7oK94H0jUuT5GkYItj9ye4E//FumlYP7rsH4uDDgS+hwEPn+nXBr5kiv/AmY9BVPud/8vnPsIDP1qZ9dqj/PfBeu5+IGpfHVkL/7wjQMxxvDx0k2sqYwysFsOI8sKWn0say3ViWrW1KxhY/0mVqwtZWM1ROMp/jp5CXXxVIv7TTpsAN86fCBlRVmYlloUbOdcSzbUMmtVJXNWV/H56iq+WFuFZ6EgK0huOEBNLEk44KOsKJuU5xFLuoe1lhNH9OQbB/ejIDu4zbEXllfz1/8u4fU5a9lclwCgJDdMTSyB3xiCAR9Bv4+Q30fAb9hUG6c6msQY2Ld7HkN65FIVTTJj+WaqokkA+nfLZkC3HHLC7t/DQwd1Y0TvfEJ+P9lhPzmhAFkhPzkhPwF/24bQiCc9KusTVNbHSaS2xBHWwoaaGGurokSCfg4dWEz3/Eibjt2Z4kmPT5ZvZmBJDj32wHobY6Zba8duU65gTkREtrF2FmxaAsNO3dJ8ctNi+OflsGoajD4fTvo1hPPca/UVLlgrKHMBWnA7vwpXrHDHGXD4tkFXrBqm/B/MfAo2zNt+3XwBN5BETne3Xf3mLa9ld4PBx7umn3NfdsFnfm/I6wn+IEQKods+0G2we2QXb9l31XRY8G849CoXNHYlybgLaEuHbducVdpH/WZYMRWWf+Q+N+tmuR8y9j0Jjr8JSvft7BrucVZuruPUP0ymNC/M06f1g89nExowkMj+I5oFVYlUggUVC5izcQ5zNszh842fs65uHT2yezCmxxiMMXy4+kPW1K6hNlHbuF9xpJg+uX3YUL+By/a/klMHnU7Q76OyPsHmugSb6+K8MnMND32wFIChPfO4/8Kx9Ou24yaZT09bwe//s4AVm+oBCPl97Nczj317RogEQlTWJ6mOxckLh6iLp1hVUUfI7ycc8BEO+qiJJvlsZSUluSG+e/y+5GcF2ac0h4q6BH/572LembeecMDHySN7sX+fAo7ct5gBJTkEfFsa0DUErpujm8nyZxHxF5ETCjTrO5jyLHPXVPHR4o1MXeIC5Lp4kljSY+Xm+u2+v1DAhwECPkOfoiziSY/6RPNAOBL00zM/wrKNdaytiu70b91wncYOKCLlWXzGEPAbAj6D3+cj4DP0yA9z+JBSRvTOp0d+ZLf6QSZTHpMXbmDx+lr8PsP4wd2aZScbPl4Bn49QwAWvsWSKxetreX/hBiYv3MCUxZuoT6T4+SnDufTwgbtcl/aiYE5ERFqnfC48MAGilXDQRXDkj2D+v+DNm1wAdso9sP9Z7VuHqjVQvcZl5eK1ri7RSncDXZkOCKvXQclgGHwC9DsUlrznsnQL34T6TS6ozOsNVSuheq3L4kUrwTa5SQlmu8CtoMwFc9ZzGcdDroBeB0CP/ZsHfK1lrcsyxmogkr+lDAuBrHQ2cjd++a3f7Oq7cpoLKFZMgXiNy3ge+m3XXNX43B2MMWD8kFUENeVuII5wnvs716yF/D5Q0BcK+0J2CSTrIafUBb5eEooHfjlGYLTWfbYqlkPlSvfDQ225+3yUDnWP+k0w71+w+G0o/9zt5wtAnzEw4iwYcSbk9ejc97GHiiZSfO3PH7BsQx3PH51H8vrv4VVVARAePoz8k06ifMMyNv7rVWqIUl4A6/OhulsW2WX9iZSVsTBSxQdVn2F9hkN6HsLAgoH0zOlJr5xehPwh/rngn1TFqkjaJDPXz2R87/FcOepKKmOVrKldw5raNXiex1dKTmPhmhB3/Xs+nrXs1yOP7vlhyoqyKSvKom9RNp+vqeKNOWvBGD5bUcGB/XLZb/AiCK1iU3wly6qWsrp2NX1y+9Antw/T101naPFQ/MbP7I2z8Rs/YX+YkD9EbjCXsSXHMfWz4cxd1TxIKskNcdbB+XTvOZ8ZG6Ywe8NsNkY3EvFH2Ld4X+qT9WyObqYiWkHSJhv365HdgyPLjsSzHsuqllEVr6Ist4yhxUPZt3hfhhYPpXdO78YgeWF5Dasq6oklUtQnUo0Dy9TFU9TG3HEbgr6skJ/soL9ZN+iaWJLVFfX0K85mYEkuRTlBCrKChAPNs3oFWSH6FGZRFU3w1LQVfLay0m1jIel5pDxLImVJeh4rNtU3Bo3GQG4okP4ny2CMCy6LskN0yw0RCvhZXx3D7wO/zwWfxoAB4imPVZvrG7OaO5MfCWDT76khDBpUmsPhg0s4fHAJh+7TjfzIthnUzqZgTkREtpWMuxv6tbPdYCRrPoPlH0Ag4m5Mp/x5y7aDjobT/+gCnz2Zl3JBS36vbV9LJWDzMti0yAU1VatdVnHTIhe47TcRXrvevdagoC/0PMBl+KrXuGAvnAfrv4C6jenHJohWuCAqt7sLpJr2CdyaPwxlB8PgY2HoqS4wqFwBiXr3SEZdPdfOhGTMnbvHCLe+duaWYxufC+D6HuKWk++GqlWtu05ZRe69VK2C2vU72NCkg71+UNTf7dN0mdsTfD5IJV2w3/QOMBlzfcj8IXeeeI3L2pYObd8A0Uu5v1X9ZvdjQLzG/Y1qN0DdBvc3s54LxHxBV+fF77i/aVPhAohXu20b+EMus9zvMPcjQp8xENJgGzvieZb/efoznvt0FX8/wFL6vz9jY67lrpOS9NloOefjICXrY3jA/EEhivN7UFiRJFReAXXbZpSCQwZTetllhIcOJdC9O/7CwmaZPc96PDnvSe6efjf1yS37B31BLBaD4Zi+xzCm5Fg+mNmLDTUxyqtjrNxcTzy55W99UL9CLLBv/3V8kXiYxZWLyQpkMSB/AAMKBtAvrx+zNsyivK6csT3G8vmmz8HSmD2Mp+LEUjFW167m/VXvUxIp4fiyM/lk/Qfk+soojfRldWIqszbMBKB/fn9GlY6iLLeMyngl8zfPJzeYS3GkmMJwIUWRIoojxVTGKpm+bjrvr36fkD/EPgX7kBfKY1nVMpZVLcPi7u3zgnmU5ZWRG8rl+H7Hc/KgkykIt9zqoDZRy8rqlexX3HHzIMaSKWYsr2BBeQ3lVVGq08GVte4dJFKWzbVxNtbGiCU9SnPDWCDpWRriF2sh4DeU5oY5blh3xg3sRk0syeSFG6iOJhq32XJOj401MYwxFGYHGVAY4SBvE3mLv6B+xmfUf/YZpd+5jvyJEzvsOrSWgjkRkb3dmpnw4R/djX44zz2yu0FuDxdg5HZ3mZZNS9KB2wyXhWhgfFCyr8toHf496D4M1s93WbnigTD0lJZHrNwb1ZS7pqZrZ6aXs1x2L6+XG9QlFYeiAe7aZndzgVFWoQtoqla5wGH0N901jFUB6QwZxmUHl3/oMndrPtv23L6Ay97l9YDeB7qgZ2M6+AyEXSBUNhbKDnF9BBuauoILnqpWkb4jAqwLRLykq1OkIF2napd586V/VU/Uu8C2doM7R+0GiFW6+m6Y785fscwFmDVrm9fXH4ZwrguQMK6+wWyXeaxaA14Lv5Y3/ayVDHGZsPJ0cNxzf5fRrNuQzi763TKc6wLuZAyqV6ezt2vdewuEtzyiVe54LZ0X3PGyi9119pIuwPdS0H2omzqgZDAU9HODlgSz3N+0fI7LBofzXBDe1ZrhZlDKsxjA18omcZtr4/zqtbk8NW0lv+62ngMe/i2rS/3ceq7hm+OvwrMek1dNJhRNcVDxAVx02NXkh1w221qLV1lJfNUqEqtWkVyzhlRVNVX/+hfxRYsaz2GCQQI9e5Jz+HgiQ4eBgfCgQax+8K/Uz5yJb799yD1gNMUHHUL1Pj15YNmTvLX8LTbUb+CA0gM4qPtBFEeKyQvmYWw29dEwG+JLmFMxhbpkHTPXz6RPbh9uOOQGjiw7Ep9p+zTNczfO5ceTf8zCioUMKhjE6prVRFNRhhYP5fh+x3NC/xMYVDgIAC8WI7F8OanqakwwhC8rgolk4cuK4ItEMJEIXk0NVW+/TeyLL/Bqagj27EVowABsv14sL0oxr34p8zbNY03tGtbWrmX+5vkYC/sH+1Oc3Y38rCLys4oojBSSFzU8vOYF1sTKuXzk5QzrNowN9RswmMb36jM+POuxumY16+vXE0vFKE6GSaSSbPDVUpmooiJWwYiKXI5ZlkcwkkXfUePpf8B4vGgMr74OW1eHV1+PF43ii0Tw6qMkVq8mUFKCLy8XEwziy87Gl5ODPzcXX04OvpwcTKD5eI02kcCrq3OP+nq82jqS5euofOllkmvXNu7X8COTTaawqSQkU2AM/oJ8UhWVJNauJbFqFTYWA8DfrRtZo0ZRfMH55Bx2WJv/xu1NwZyIyO6y1t3kZhW6/lcNkjFY/am7QV/+kbsx7jkS9jnW3YxnFe08CPK8LU3iGp7Xrnc3kKs/ccFDKNdlG+J17nkq5m5EkzF3o79uttum7yFum1iVq2/temCrf+uLB7kb6dJhLsjrPtzdRH8ZmtPtrmTcNdXcXr/Atti0GBa+5T4v3Ye7Y/r3vOY9zSTqXbC0eRlULHXLWLXrl+il3KA18Rr3GSzo4zJ4qYR7PavQBVtrZ23JBFevdv+PdB/uAsy1syArPdBNQzBqPRforfvcXaO8Xi7zmtfbDYaTjLtsZjLmsmRFA9x5s7u5z3Qo1wVw2d2aB7GdZPaqSrrlhjI64mBlfYJwwEckuO0AQJ7nRkmMJT3yswLkR4IkPUt9PEV9PEVdIkl9PMXGmjgL06NEVtTFmb+uhsr6BNXRBNXRJDUx1ywvK+inf7ds1lZFKc4OMaAkh0TKI5bwiCVTjQN/xBIp1lXHSHmWX0eWcMBT97G4LMBvz4vw66/ey8E9D96l92pTKaKzZpFYu5ZkeTnJ8nLiy5ZR89/J2OiW/lwmEiH3yCOJLVhAfMkSVxgIkH/iCQQHD+bTnA38Mf9jVteuIZaKbXOeIUVDyAvmcWivQ5k07CIioWxSmzeTWLGC+IqVJFYsJ75iJRjIPeIIovPm4YtkkX+Sy+p4NTWkqmuw0XqCffthy3qwun4tA/MHUp2opi5RR8+cnqRqaql9/32is2aS3LSZ6jffbGyCujMmHMaXn0dqw8ZmKahA7174c3Ibn0eTUVJr1xGoj7d4nI3FQdaM6UufDxZjgPpQ+lvDuGUsBOsKDfn1hqKon6yopajSNc/0DMSyAySyguRv2H7fvF1lwmF8ubn4IhFSmzfj1dW1uJ2/qIjw0P3wauvwal1fSuP3Q8CP8QcwPh/W8/CqqvAVFBDs1Ytg795ERowga/Qogn36kPSSeHiE/eGMv4/dpWBORGRnopXuRtIXdMFOIJwe4CAdpK3+FBK17vW+h7jBQRa8AUvfd4EVuGxDKNc1m2sY3TFc4AKl3O4Qznd9qEK5LvjasMDd9FavcZmH0qFQsw4qV205ZlPG725O/SH3CKSXOaUw7DQY9XV3Y9xUKuluhGvWuWZwhf2aZ3NaUBOvoSZRQ8+cnjvcriJaQVYwa7tffIlUgqp4FXXJOorCRWQFsrDYZh375UsuVuM+063J+nqpLjNaqWc9yuvKWVG9guVVy1lZs5KxPcbSMzSKE+99Gi+VzaCiHqQ8SzzlEUtFSdgaUtSTH86hJDeLSDjGqprlpJLZFPoGUxDJJi8SIC8SwBjD7FWVhIM+rIU5q93Nf0M/ImNMY78iz7qMWluEAj6GdM+lKMdHVjhJVihJKJQgGIxTH/OxqSqPXvl5bKrxWF1RTzjgIxjw8AWrCPn99K22ZHtJigqyOXLBB/iefozZ+wT56zeK+P1X72+X5nxeXR2pqipsIkF09myyDjiAYB83LUSqqoronDnUvPMOFc893xgsZR10EKH+/fCyIyS75RMtyqG2MEx+1Efhis348vKpfvNN6qdPh0AAkslm5wyUluJFo3jV1eD3Q6rlETQB/IWF5Bx+OLlHHE6ge3diS5ZQ85+3qZsyBZtIQDCIPyeHnPHjyT3mGPwFBdhEAhutd9mtaD22PooXrQdjyD38cCIjRmD8frxYjPiyZcQXLya2eDHxJUubBbauriWE+vcHY7ApD1JJUl6KeBBiT79AfPESkoeOwte9lKyEaczwW8/D1tSQWr2WUHE3giUl+LKzCe0zGBMMkqqsIFVZiVdZSWjQIOxZE4naBNPfeZJNS78gGQ4QDVhqA0lqgx51vgSp+ijL6lZRVRJhX9ud7uSTa8L46mJQV4+pjxGsT1CQCpGXDOKvj1NXvYlUXjamMB+bFcFkZ2GysrCREJWhJHN7JFkZW0d9sp7D+xxOv/x+BHwBgr7gNsuG76IN9RtYWrmUxZWLWVK5hBXVK7jpsJs4Y/AZmf1wZoCCORERcBmvimWu31dDBsRLwcvfgxmPumZXjQxgXQDVa5RrXlU80AVec55PH6cfDD8N+n3F9Z/JKXG7xutg2fsuWGvImtVtctmyaKUL9Ar6uuOGcl3WonaD67uV18vVr7Cfe/QavWUgkJySFm9mE6kEM9bPYPKqyVTGKumR3QP/VttZa1lXt47VNaspyysj6SWpTdQS9AUJ+oNu6QuS8BK8uvhVqhPVjCodxbhe4ziy7EgOKDmAlTUr+WTdJ3xS/gmfrPuEpVVLyQ5kM77PeAbkD2DB5gUsrVpKTaKG6nh1i792AxSEC+iZ3ZPeub3dI6c3B3Y/kP1L9m/1UOEie5q6RB0zN8zk7eVv8+qSV6mIVTR7vTBcyBC+w9TorfgMhCklRT1JarFsPwgAMATJTu1DIL4vqbp9sLEyBvcyeKkAsWSMst5rMAZSKZ/LqFiXUUl4UertRvIjAcKBAImUIZ60GGPx+9zD5/Pw+VIkbQ1VNUvJT/qxtXWsX7+UQG2U3HrIjUJ2DGoisDEPoiHoXw6RcDZeSRHrTDXlVFMfggMXWS5+22KaBJD/PtDHm2cP4E8T/o+yvM7td2utxSYSVD77HJsefBAvHserqmrM5mwt0KsXBaeeCtYSKC0hWNaXUN8ygmVl+LKy8OJxojNnEh48mFRFBbUffoiJZOHPy8WXm4cJhYgvWULd1CnU/HcyqU2bGo8d7N+PvGOPI+/YY8g68MBtmhR2FJtIkKqqItCtW4edc/7m+Tw972nW1a1jY/1GqhPVhP1hwv4wEX8En/FREatgY/1GLJZh3YZRHXcjesZSMaLJKNFUFM965ARz6JHdg965vQH4YPUHzfpL7kjABOiX349BBYMYWDCQ4/sfz/Buw9vzre8SBXMismM23ZypYQS89la/GZb81w040NA8KpVw5y8e6IaPz+u1pW5s1QeocR0XgNWud1m1VMwFXz5/epnuc+MLuIzYjMdhxUeuT0/vA12AVrMOPnuc5EEXUTvkBPL9WZgN81xzsb6HuG1COVhrSXgJ6pP11MdrqNswj/rcUqoSNWyKbmJj/UbW1W6kLhEl6AviNw2/BLpfA7MDueQG88gJ5pNjssgJFRL1YiyomM+yitVgA5RmlVKbrKI6UUFVYjMVsY2srF1GgDDdwr2JetXEvShJL0HKJkhat6xObiLhRfHhJ+LPoS7VchOdbH8exeEebIytJeALkuXPIWWT6Ueicb1v5ECyvP5sZDpr65fgkSIvlEd1vBqA/FA+B3U/iNHdR7OiegUfrfmIVTWr6JvXj4H5Q8jy5xLx5RD25xA02QSIUJeqJEUcg2VTbBMbo+VsjK1lY3Qt0ZT70t2nYB9GlIxgn8J9KM0qddc6WU9dss6tJ9zzhNfQsd2yqmYVq2qaD/rh9/npntWdHjk9KAwXYrGkvBQWi2c9POvmfop7cWriNVQnqon4I5TlldEntw8lWSWNAw40LAvCBQR97geAhJdgRfUKfPiaBcINgXHSS7KwYiEBX4CCUAEJL0E8FSfpJYl7ceKpOCkvRcqm8KxHyqaavRZPxamKV7GxfiMBX8Dd3AQihP1h4ql44/WoS9Sxrm4dK6tXUl5XzsjSkRzc82CKwkXEU3GiqSjRZLTxOkZTUeoT7nour1rO5thmIv4IWYEsIoGIe6SfN7yv4kgxOcHmzW83RTexotpNGB8wAfw+P37jx+/zEzABfMbXuN7wWsAXcE2YrNc4AmGf3D70zOlJ2B9mQ3QD62rX4TM+KmOV1CVdUyqT/i/oD1KSVUKP7B6E/eHGz0XD39XiBkWojldTEaugW8TdlNYma6lL1Lm/eZPmxiVZJXTP7o7P+PDhw+fzYa2lJlFDbby2sRlcw/VvGJkw7A8TTUVZW7uWdXXr3LLWLdfUrsFiCfqCHF12DPt3G0OevycRurOiah33zf8upIKcPcVjdJ8DWdItRTg7j6ysfLJy8snJKSIrO586kyCWHSAvtxv98/tTvnEZs774L0sWT6d6zQqKaqC0Cvqvs3g+SPqhe4UlHoB4Qyvd9FuNBQ0VudC/3BKJQ3UW1GQZ/B5kxSxZcRofkRhkqgHq1H0NU4YH8CVSLO3l4yuHn8e1B13b2B9uT5SqqSG5bh3JdeswkSwi+4/Aq67Gn5+PCWam+bP1PGLz5uHV1uLv1o3QgAH6AasdJL0ksVSMRCpB0ibd0ku6f4u9ONF0y5miSBG9c3s3/tu+J1Mw18VZa7GxGDYWw5ebm+7UmcIm0x076+tIVVbgbS7H21QOgL/3APzd++DPy8VEIphO7iMgGWatC4CS9ZCINl8an+sXklXosk6xKtdPpWGZqE83IZzimhFWr3WDGqTSbekbgqFgVnrwjB5u3UulA6mUy3A1rAezXNO+SKF7noxtGZEvGU3Xq8l6rMqN/NfA+F19/EHXJDDR8q+jO2dc0GZTzUefayqrGMZf597ziqmwdiab8Liu30g+MxWAxUeALH8RYV82SRsjaWMkvChJG8OyneM2/ll8YANACuPbyS/t1gWjdjsDCdhUCJvKw4uXgC+KL7gZm8rFeiHwAmADWOt3y1Q2qdrBJOv2AS8C2/2V3+euUyuE/D7iKQ98MYIFn1JUtJZQqj/++CBMoifJlGu6lUwPiJATNqzaHHf7tInF+GsJ5c+hsHQeCd9qEqZim60MAfyECRDBkB410YJJFeDFu2HTt6HWAiaB56uCQCX46nAhgW+rpUkfMwufjRD3osTNBqyvEkzL340+m4WfCClTi0fLfU8yKWiy8WyKFHGa9ns0+PHZMD7CmFQ+yXgxsViEcO5ivOC65gexPgwhjBcCGwIbxHohErFCvEQe+JIYE8f4Evj8CXy+BMaXwJgk+FJYXxXWJNLndfxkE6GHGxzBeICHJYXFcw+bwkuXkS7zSGHwu6HEqWz2froqQ4CAV0jAFpHlK8aX7EFNVQ/WbygDb9umx5GyRzjz89lc9J9W/D/i8xHo0QOvsrLFPkKpUIDogB5Y62HiSbIHDMKf9PBiTbLhxuCri2I2bCY0eDC+wgJSFRWkKiowgSD+3Fz8OTn4c/Pw5TYddCLX9VHKycZfUIi/sAB/QQG+3FxSFZUk160lVVVNeMgQAJLl5W4witpa9wgHeKp0KfVelP2K92Ncr3EUR3Zhig8RaaRgLkNSyST/vOgrAFi/j0R2iGhWmFhWhHgoQihqyaqLpR9Rsurj+Oo8gtEUkfokyYAPn2fJrks2u52yxhDNChHNCpIK+rBBH5FYkuy6OKFoEn8syU7uIXcuYDDphy8IJgD+klwCZaX4o1X4otUQrcc2tgdPN7xvOgqb2aoclx0xQCpmiW8GE/ZjcrKxgRyyumfjzwpgk9Y9UpbYmg3EVlWRilmMD3wBgy9o3Ne6B9azbsTokA9/dhB/xIfxNXxOLf4Q+ELgC1p8QYs/YPGFPPzZQcL7DMbfrQQTzoZwNiaU7YZYD2a5RyDL9UsK5bqmbl46E9TwqFy5ZcjvaJUr6zXK9UcK57l9A1muP1TVKlc29GQXxFSudE3isgpbvv6JKEy5D1Z90rw8WondvIRkMuZ+NfIHSBb2wwuE8JJxvGQMvPQyGSOUjBKJRwkl6vE1uRlq+n+yn1b+uuoPuRHxCsrcyHnBnHSglnLLeK3LWlWvc4GY8TXJePm3XLdEvcu0RSvca8GIu+4Nj62ee8FsqvN7sLp4AOvz+mwZGtwa/MZPbjxKXt16qNtIVTLamClMYkna9IMUSc+SwCOBZVMKvkikSBo/IX+QsD9I2B8i5PeT5QsS8fuJpOJ8uHEJn22aiYfn+pNgqUmW06O8ju5rh1EfLCBl6kiZajxfkoQJkfCFSJoQvlSAvjE3vHXMhImlAvRPpOjh+SiyfgqtjwIPQokY/mg9vlg9eCmsMXjG4ovW4aurIVBXR6C+nmA0iufzESspIeRZfDU1mGgULzsbcvMgNx+yswkmYlBT40bcysl1/TZo8r8hQFYW/uH74x8wEJOTA/X1eH4/XiDoPkuBIKlgAC8QJOkPkgoESfmDeMEA/lCYevxUW0N1AmqjCQ5hM/1sHStNNlV1cT6rskyvD+Lz+Qn6ffh9bvLXgN9NAOt5lupYgr7peZrCQT+RoJ9IekCGUMBHyrPEkikSKUt2yI8PSKV/pErV1TN9U4opq2tJeJby6k3UJCoJ+SP4jQtafPgxxrhkKwZfej6iktwQ3fMj+NNzEzX0FwKoqncDNzRkZBq+8ixsGdo6XV4Q8VNGlJp4gliqgmSiEpuqwktWY1PVkKqBVC3GixH3Z1GVPYi48WNtEo8knk1ibZJAKk4wnqIiWEbM+PB8dURNiJQXIOX5IR2AY30u+HdjA4L1u+DcC7hsLlkEfGGCfh8BPwR8EAwkCfhChPwhgukJeAuzQ/TIj1CcE2Tl5nrWVddQn6wh6AsR9kcI+YME/T6CAR9BnyHg9+E3hm65IQqz3UAY8aRHIuWRSDVdTz9PeSSSWz1veCStW3pes79J06+Kpn23DIak57Gprp7KxHpMYDMmWIkxSWwqB5JFLoOWykr/KNHkXzdfAuOvwResBJMEL+R+2MDfZDOD9cLg5WD8NRgM2AjWC2HwbfneNRbPVwn+GrejsTR+yaYi+MgiQDYBEyYYsBiTJGkTeDZBkjgBguQGS8gPFVKQFSLgM1RFE+SGA/QuyKJvcTZBvyEvEqQ4x82T1S0nTOrjN7A3/Jy8o4+m1y9+QWLlKmw8jo3H8GIxtx5zz5Pl60msWom/sJBAaek2D19BgTI6Il8ie0wwZ4yZCPwO96/vX621d+xo+z0tmEsk4swcOwoLBFMQSra8nWdcu/KaCFRnQ10W1EYgkHKvVeQYUk3+DfZZyK+D7ChEEq4pRH3IUJXj9qsLQyrobqSz4q55UMJvSPgsST/EAob6sKE+5KMu5MeHobDWo7DOIzfukZXwiCQt4QSEGh5x6LHBI7duS52TfvB8Bmua/zDdWFXrnhjb5Elayg8VRUFCiRThZIqA9QhVGXzWbeP5LJ4fYtmGTSUR6kNh/J4lnEwSTqYwxuAZk85SGLJTScLxJL6YO5XBgAcmaTEJC3Fvez+eN6m4CxgxdktCIr1ufNYNaNawjc+S8kPc78cLGEy6M3duuI5wIEUgYPH7LSZgidX5qUn6qQkbqsKQjEDInyKQdDcOCZOPJYtQtA7j+bFeAOIVvDw8yeSyLBIGErjcScJAMlPfx9bi9yCYhHDSEE768Bk/1ufH8wfBH8IGQhgTIsvz4bc5+PwRvHAWIS9IwAbwE8QQxE8Ag5+UTVFnqoj6ounQ3cPa9K/vWLduPYz1MCkP46UwnsWmXHbMNCw9D+vVEYzXkF9XT0GdRzzgPtu+9L2Uz0vf1nqurGl5ppRWQN912fjwkzLuc19Q7zF6WfXuH9znaxwS2ZedjS87G/w+SHngea48Lw9/Xh6+vDx8ebmQTBJfsRJfJIK/IB8TyUqPgFaFV+n6cJicbPz5BZhQEK+qGutte0FSmzcTnTOncYjlXWaMCxYTLQzrHgi4uufn4c/Lx5+fhy83D3w+10k/EcfGE249Hk+XpdeTSXfjGQyAZ92IZLW1zScA8vkI9urlMgvWbhmFzPjSzWWNO0Z6HZ977tXVNx6r8WiNUduW4/uysjDhcHq/9DEb1o0hsXo1Xk3N7l2/HV3acLhxWHETiWDCYWw4ghcM4c/OIhAKpifLNVtu0hsn/d7yj4SNx7HRqLv5j8WwsSheNNZYRjIJfr9rjeF3TY2Nz4eJRLDRKKnKyi3XpWkw0PScW5WZYBBfOIyJRJotCQQaW33YRKL537MJ29gk2muYGAr8AZIYksaPL+An4KXwp5Lu2mRlQUOztqYRePrHQ2utu0ZN/s7uadNtaf45sO7fKzwLnucGdfA8PM/9/4nnmnCbhmkd0uV2u+tbjmXCYYJ9y1ymvb4O61mCZX0wgQC2vt4NzFFRSd3HHxMavA/9//53AkVbDVQkIrIDe0QwZ4zxA/OBE4CVwMfAN6y1n29vnz0tmGvKWktdxWZS61dhNq7Gq96IPwIUl0BxD7ysArxwLlnRasLVa7dkMbCNfYM83A190iZJ1m1y/SbCuSRDOVT6fJSnoqyNbmBVzRpW16xmY/0mfMZPMP3LrMs8hPAZ09jXxfNSxL0k0UScpE2m+2IkSHhJ4qkEiVSCuOeWYV8WoYSPjan1xE0q3aeg4Sbd/VLpeiJ46Ukc7U6bmTXlT7ngIuHfflOyXbv4BqyPYNJHdtRHdsxQWGvpszFOVtwjlLL4PIvfgt8Df8otG4KEQJOyQGrL84AHgaRtDNRz66FoV1v8NeGZLfcWc3rn4zU08bJgbLqpGK6BX8rnI+lzWQu/tfhs+n1Yi9+zBLwkwVSKQCpFMOUR9Dz8Kc+tt7l5W7p+tC6Tl/BD0mfSAZd1AZeXuT4WHSXYty/G73c3YykP/D4KTj2N3COPwKup2XJD6HnpYMQFKhgfwV5ugmQbi2GTKQLdSwl06+bmwgmHO/WXcptKkVy7Fq++Hl92tmuGHY9j4/H0r/4JbDy2VVlDJiCOTbgyEglC+wwm1K8vyY0bMT4fyY2bSKxa5YLMqmpSNdVuWV0FnsWEQphgcMty6/VAwF3PVMr96FBUhC8vF1967iQTjpBYu4bE8hUuCPb5tswL1PQmPN2303pbbrh92VluTqGGuZ+2DkoM4Fk3z1E80bhfsxt76xEoLSU8eLDbxR9I1z2w5T2kHwQCeDW1JNetbTGwdsFOFsn167HJdN++hpHomi2j7kY/FsPW1zdemy0BUfrf4aaBiU1f60gYXzjSZBnBFwljwhH32fY81xQ//Rm3qSQ2FseEQviLCl0A1uT7f5sgqOF86aVNJPBiUWy0efBoPW/L6H7BAGZHI036fJj094Cb9ykFySQ23WXABAKYUMgFpfX12Hi8+d+y6d+T9A98Lf69W/j7Q5MA3rflR4EdrftMujWCr+UfAJqse3V1xFeuwPj8+LLcdAPxlSvTn0/3w47JziJn3KGUfPsqfJGGrKOISOtsL5jr6CFzDgEWWmsXpyv1BHA6sN1gbk9mjCGnqBiKioGR298wu8QN6NACX/rRUrfLnkDmB+7NjKYDCHi49YSXoDZei8W6DuXpR0PHd7/xE/QFqYhVsKpmFQkvQcJLkPJcx/+GAQCSNtmsrGGbpq8nvWTzMs81o2ropB70BZt1um+oh9/4CflDBHwBahO1pGzKBakWEliCgRwKIt0I+cPUJepZWr+ZKRUbqK+uJFFbS6qullR9HeEePejeexA9yKcklU2gtp5EbSVeMEAq7CcV9OOF3DIRNHh+H+G6OPs9N40x8+Y33piYdHbBZ9I3DukbI5tMNv6a3vjLt9+P8fvdjVzjY8sNs69peTDUWA5syZAkEu7mMpVyr4cj4HmkqqvcDWgo5La3tnFgBoMh4NEs44LPh/Gnm1z6fRifHxNwTS8byo3fB/5A8+c+P77sbAKlJfiLi11AUV3d5HXflvft87tr4vdvuVYZ4C8uxp+/53bA3x3G728chltERET2fh0dzPUBVjR5vhIYt/VGxpgrgCsA+vXr1zE1kzZpCNSayiKrVaNUlWaXUppd2l5V27ONOb2zayAiIiIie4mObh3V0k/r27TztNbeb60da60dW1r6Jb3pFxERERER2YGODuZWAn2bPC8DVndwHURERERERLq8jg7mPgaGGGMGGmNCwHnAix1cBxERERERkS6vQ/vMWWuTxphrgNdxUxM8YK2d05F1EBERERER2Rt09AAoWGtfBV7t6POKiIiIiIjsTbra9FAiIiIiIiKCgjkREREREZEuScGciIiIiIhIF6RgTkREREREpAsy1m4zZ/cexRizHljW2fXYQ5UAGzq7EnsRXc/M0vXMPF3T9qNrm1m6npmna5oZuo6Zp2uaeS1d0/7W2tKtN9zjgznZPmPMNGvt2M6ux95C1zOzdD0zT9e0/ejaZpauZ+bpmmaGrmPm6ZpmXluuqZpZioiIiIiIdEEK5kRERERERLogBXNd2/2dXYG9jK5nZul6Zp6uafvRtc0sXc/M0zXNDF3HzNM1zbxWX1P1mRMREREREemClJkTERERERHpghTMiYiIiIiIdEEK5kREZK9njDGdXQcREZFMUzC3h9MNSOYYY4qbrOu6ZoAx5mhjzDYTWMquM8b8jzHmxPS6PqeZk9ewouuaGbqOmadrmhn6vs88fd9nXqa+7xXM7aGMMacbYx4GRnV2Xbo6Y8xEY8x7wD3GmN8CWI38s1uaXNPzgVhn12dvYIw50RjzOnA9cBHoc5oJxpgTjDGTgTuNMT8CXdfdpe+nzNM1zQx932eevu8zL9Pf94FMVUx2nzHGWGutMeYY4FYgAXzFGLPMWru5k6vXpaR/4fAB3wIuBX4FfAo8Yow5yVr7WmfWrytKX1MDfB34P+Bb1tqnO7dWXVv6mgaBnwNH4T6nIeBgY0wQSOpGZNcZY8qAm4A7gHeAJ4wx3ay11zf8e9uZ9euK9P2UOfrOzwx932eevu8zrz2/75WZ20NsdWOxBJgA/BAYBxzQaRXrghqupbU2BUwGDrfWvgBEgXJgjjHG17BtJ1a1y2hyTT1gNfAIsDD92jnGmLL0P0a6pq3U5JrGgRestUdYa18FNgPnWWsTCjbabqvP31BglrX2JWttNfBH4HvGmCHpm2h9VttuCXAi+n7aLfrOzwx932eevu8zr72/7xXM7QGMMdcAzxpjvmeM6WmtXWqtXWOt/Q+wDjjKGNOnk6vZJWx1LXtZaz+31iaNMQcBzwMDcGntuxp26Zyadh1Nrun3jTEluC/MmcB9xpgvgHOBPwB/atilc2radbTwOf04XR601r4LLDbGnNS5tex6trqu+cB84HBjzFfSm3QH5gA/7aw6djXGmG8bY85OrxtghbV2rb6fdp2+8zND3/eZp+/7zOuI73sFc53MGHMmcDHwe9yvcT81xoxussmjwL64X+ua7qf/gbbSwrX8SZNr2fDrxyHAj4BJxpix6V+eZDu2uqYjgZuBwcDLwNvAN6y15+Cat5xhjBmja7pj2/mcNvSTSRrXcX8ZkOqkKnZJLVzXX+P6d9wNXGmMeR+XUToLGG2MGaDM5/YZY/KMMX/GNQl62BgTSF+vphlNfT+1kb7zM0Pf95mn7/vM66jvewVznW8ccJ+19m1c344lwHUNL1prZwIfA/sbY441xlyfLtdNyLZaupbfAbDWLrHWLk+v1wJPAfmdVM+uZOtruhT4obV2NXCztfZTAGvtJtwvobmdU80uZUefU5u+llnAMQANTYRkp1q6rjdba/8GXA58z1r7TWA5MBWo6qyKdgXpZqnvWmt74m7m/ph+qbF5oL6fdom+8zND3/eZp+/7zOuQ73vdJHSQrX9Va/J8MfBNAGvtMuAVIMcYc1qTzR8HLgOeBEpaOt6XSRuvZfZW1xJjzE+BEcDn7V/brqEN1/QlIM8Yc5q1Ntpk+5/hrukXHVPjPd9u/j//D+AQY0xEv3w214br+iJQZIw5M90fYWp6u1uBHKC6g6q8x9vBNX0xvfwu8A3j+hqmjDGBJtvo+6kV9J2fGfq+zzx932deR3/fK5jrOMGmT5r8yvYMUGeMOT39fA1u1LXhxskFfgfMAg6w1v5wq/2/jNp8LQGMMScZN0T5vsDXrLVrO6a6XcKuXtMjjDFv467p2dbadR1T3S5hl/6fT5dlAU+gppYtaet13Q/AGDPEGPMCsD8uS5fomOp2CS1eU2ttrTHGl/638k/AX9PlSWutNcbk4JoP6fupBcYYf8O6vvN3XVuvY3offd/vwC5eU33f78Cu/P+eLtvt73sFc+3MGPMVY8zTwG+MMcMb/tjGmIZpITYDzwFXGWOMtbby/7d3Z6FxVXEcx79/U7c+uEGtiFhEkbpgKaL45C5UBRURHwQVxaJQWkVfRKho9UVwAwVF0dYqCu6KCj6ID1ofhApaiyCW1mrdN6iIrTQ/H86ZLLUm0fnfzL3J7wNDkplJmPnOJDdn7p1zKLuu96tPhj+BGyVdKOnbQdyHtuij5f718s+AGyRdNdtb9iQ03QIsk3SlmxZ9NN13zAbgNUmPe8Axqp+/pfXy7yjP1Yv8T0gxQdOh2O1wH0m3AkfV75kfEafUQ9hWePs0qvZZBaAyw2Lv/N4/bt7mT0EfHb29/xcJTbfg7f04fTRN3d57MNegiDgUeBh4C/iZcpzstVBe2axX2x94mzJafywiDgcWU9ab6b0C+sM03/TW6bPlznq9LZI+neab3lpJTb+S5MNXqj6b9i4ft1GwtL+l2yV9Pc03vbUmabpL0nDdS3TgmG+7B1gHvAfMrded9dunnoi4GniKMqnJ5fW8OTDulXpv8yfRZ0dv7/cgqam392P02TR1e+/BXLMWAZ9LWg3cB7wMXBwRCwEi4m7KiH0+cAtlSuJngd8oi9zaKLfM56b53LQZ7ppvsqZ3UQ4ROrF+fT6wnDLN+wkqU2rbeNuAs4ElwL1QBmdj9njegZ+nU+GO+dw0X2uaxiw+DDtdRFxCObb4Y0lvRsQ84ANgiaRNUaYgXU55RfNOyvsPVkraNOZnzJX0x/Tf+nZxy3xums9Nm+Gu+fptGhHHA9slfTWQO9BCY5p+IumN+k/cXpL+ivJ+rXclrazXPRR4ED9P/8Ed87lpvjY39Z65BBExLyJeBW4GfgFWR8Rlkn4EXqJsIKGMxt8BDqEcH39F3YiOPA6z/RfHLfO5aT43bYa75ktoOgSgsiCzB3LssemTUWZN3cXoIsrXAysiYj6Uw1H9PB3PHfO5ab4uNPVgLsfRwDpJp0t6lLI79eZ62XPAwog4V2XK0Z8pu1x3QFlTQp56fCy3zOem+dy0Ge6ar9+mfv/mP+2paW/WyZ0RMSRpI/AC9XCqepgq9Tp+nhbumM9N87W+qQdz/1NEXBURZ0bEXGA9sLaeP0RZz2RjveoGypSjD0bEMcA5lJH83uBfHHDLJrhpPjdthrvmc9N8U2i6oX4dQG9ph+uAqyPiV2BR/M8FgWcSd8znpvm61nTO5FexnvqgHUZ5A+MwsAlYSplG+Ps6Ot8VEcdRZwCrG8M1UY6fvRVYCCyV9Nsg7kNbuGU+N83nps1w13xumu8/Nj0YRmaxU0QsAB6gzPy5TLN4ZkV3zOem+TrdVJJPUzgBQ/XjscAz9fM5wEPAy7tdZy1wef38sDE/Y59B3482nNzSTbtwclN37crJTVvVdF79eBBw6qDvx6BP7uimXTh1van3zE0iypoRq4ChiHgLOIC6SrvKFKQrgG8i4gyNTtX8O7A5ykKCl0bEEklfS9o5iPvQFm6Zz03zuWkz3DWfm+ZLanqBpK3AhwO4C63gjvncNN9MaepjZCcQEWdQjpU9GPgCuIuysOdZEXEqjOxiXQXcUb9niLLw6ouUJ8VZ8kK1btkAN83nps1w13xumi+x6dZpv/Et4o753DTfTGrqPXMTGwbulfQ0QEQsBo4CbgceAU6O8gbHVygP/gJK00eBtZI+GszNbiW3zOem+dy0Ge6az03zuWkOd8znpvlmTFPvmZvYeuD5OhIHWAccKWkNZZfscpU3kB8BDEv6UtImSTe16UFuCbfM56b53LQZ7prPTfO5aQ53zOem+WZMUw/mJiDpD0k7NLrOznnAj/Xza4DjIuINylo962FkNhzbjVvmc9N8btoMd83npvncNIc75nPTfDOpqQ+znII6ahdlMdXX69nbgduAE4HNkrbByPG19i/cMp+b5nPTZrhrPjfN56Y53DGfm+abCU29Z25qhimLqP4EnFRH6ispu13f7z3INiVumc9N87lpM9w1n5vmc9Mc7pjPTfN1vmm0dJDZOhFxGvBBPa2W9MSAb1JnuWU+N83nps1w13xums9Nc7hjPjfN1/WmHsxNUUQcAVwJ3C9px6BvT5e5ZT43zeemzXDXfG6az01zuGM+N83X9aYezJmZmZmZmXWQ3zNnZmZmZmbWQR7MmZmZmZmZdZAHc2ZmZmZmZh3kwZyZmZmZmVkHeTBnZmZmZmbWQR7MmZmZmZmZdZAHc2ZmZmZmZh30N0KYrcsW4b3eAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot equity progression\n",
    "ml_res.plot()\n",
    "\n",
    "# Print performance values\n",
    "ml_res.display()\n",
    "\n",
    "# Check for anomalies in equity allocation\n",
    "ml_res.plot_security_weights()"
   ]
  }
 ],
 "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": 5
}