WTI-Carry-Momentum-06-23-06-24.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "28a37950",
   "metadata": {},
   "source": [
    "### Trading WTI futures using Carry and its momentum - Description of the strategy we follow\n",
    "\n",
    "In this notebook we implement the same strategies as the ones described in the notebook _WTI-Carry-Momentum-2023.ipynb_, i.e., carry along with carry momentum. Here, however, we focus on the one year time interval from June 2023 to June 2024. As before, our analysis is based on the 12 month spread $ C \\left( 1,13\\right) $ and the futures contracts are rolled on the last business day of each month, following [1].\n",
    "\n",
    "\n",
    "[1] I. Bouchouev, Energy Quantamentals: Myths and Realities about Algorithmic Oil Traders, Oxford Institute for Energy Studies (2024)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4001eff",
   "metadata": {},
   "source": [
    "## Read data for the time period from June 23 to June 24\n",
    "\n",
    "Here we load the necessary Python libraries and download the WTI price data for the time interval of interest as well as the last business and trading days for every front month future contract."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b684ec5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "#import time\n",
    "import pandas_market_calendars as mcal\n",
    "\n",
    "datos = pd.read_csv('data/datos_1_y_prior_to_20240613.csv')  \n",
    "last_Day = pd.read_csv('data/last_Day_1_y_prior_to_20240613.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1b8d006a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "str"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(type(datos.loc[0,'date']))\n",
    "display(type(last_Day.lastBusinessDay.iloc[0]))\n",
    "display(type(last_Day.lastTradingDay.iloc[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "926634f9",
   "metadata": {},
   "source": [
    "### Convert dates from str to datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "25b1824f",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>FrontMonth</th>\n",
       "      <th>SecondMonth</th>\n",
       "      <th>ThirteenthMonth</th>\n",
       "      <th>FourteenthMonth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-03-21</td>\n",
       "      <td>69.67</td>\n",
       "      <td>69.77</td>\n",
       "      <td>67.09</td>\n",
       "      <td>66.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-03-22</td>\n",
       "      <td>70.90</td>\n",
       "      <td>71.02</td>\n",
       "      <td>67.86</td>\n",
       "      <td>67.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-03-23</td>\n",
       "      <td>69.96</td>\n",
       "      <td>70.12</td>\n",
       "      <td>67.42</td>\n",
       "      <td>67.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-03-24</td>\n",
       "      <td>69.26</td>\n",
       "      <td>69.41</td>\n",
       "      <td>66.96</td>\n",
       "      <td>66.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-27</td>\n",
       "      <td>72.81</td>\n",
       "      <td>72.93</td>\n",
       "      <td>69.80</td>\n",
       "      <td>69.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date  FrontMonth  SecondMonth  ThirteenthMonth  FourteenthMonth\n",
       "0  2023-03-21       69.67        69.77            67.09            66.90\n",
       "1  2023-03-22       70.90        71.02            67.86            67.61\n",
       "2  2023-03-23       69.96        70.12            67.42            67.18\n",
       "3  2023-03-24       69.26        69.41            66.96            66.77\n",
       "4  2023-03-27       72.81        72.93            69.80            69.53"
      ]
     },
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     "output_type": "display_data"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lastBusinessDay</th>\n",
       "      <th>lastTradingDay</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-03-31</td>\n",
       "      <td>2023-04-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-04-28</td>\n",
       "      <td>2023-05-22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-05-31</td>\n",
       "      <td>2023-06-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-06-30</td>\n",
       "      <td>2023-07-20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-07-31</td>\n",
       "      <td>2023-08-22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  lastBusinessDay lastTradingDay\n",
       "0      2023-03-31     2023-04-20\n",
       "1      2023-04-28     2023-05-22\n",
       "2      2023-05-31     2023-06-20\n",
       "3      2023-06-30     2023-07-20\n",
       "4      2023-07-31     2023-08-22"
      ]
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   ],
   "source": [
    "for ind in datos.index:\n",
    "    datos.loc[ind,'date'] = dt.datetime.strptime(datos.loc[ind,'date'], '%Y-%m-%d').date()\n",
    "\n",
    "display(datos.head())\n",
    "\n",
    "for ind in last_Day.index:\n",
    "    last_Day.loc[ind,'lastBusinessDay'] = dt.datetime.strptime(last_Day.loc[ind,'lastBusinessDay'], '%Y-%m-%d').date()\n",
    "    last_Day.loc[ind,'lastTradingDay']  = dt.datetime.strptime(last_Day.loc[ind,'lastTradingDay'], '%Y-%m-%d').date()\n",
    "\n",
    "display(last_Day.head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94aad203",
   "metadata": {},
   "source": [
    "### Insert a duplicate of the first row in the last_Day dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c8f9d925",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 15 entries, 0 to 14\n",
      "Data columns (total 2 columns):\n",
      " #   Column           Non-Null Count  Dtype \n",
      "---  ------           --------------  ----- \n",
      " 0   lastBusinessDay  15 non-null     object\n",
      " 1   lastTradingDay   15 non-null     object\n",
      "dtypes: object(2)\n",
      "memory usage: 368.0+ bytes\n"
     ]
    }
   ],
   "source": [
    "last_Day.info()\n",
    "\n",
    "r1 = []\n",
    "r1.insert(0, {'lastBusinessDay': last_Day.loc[0,'lastBusinessDay'], 'lastTradingDay': last_Day.loc[0,'lastTradingDay']})\n",
    "\n",
    "last_Day = pd.concat([pd.DataFrame(r1), last_Day], ignore_index=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfbe4ae4",
   "metadata": {},
   "source": [
    "### Compute synthetic front month and thirteenth month contracts upon calculating the cumulative roll differential"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "247651a6",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>FrontMonth</th>\n",
       "      <th>SecondMonth</th>\n",
       "      <th>ThirteenthMonth</th>\n",
       "      <th>FourteenthMonth</th>\n",
       "      <th>FrontSynthetic</th>\n",
       "      <th>ThirteenthSynthetic</th>\n",
       "      <th>Carry</th>\n",
       "      <th>CarrySMA20</th>\n",
       "      <th>CarrySMA5</th>\n",
       "      <th>CarryMom</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2024-06-07</td>\n",
       "      <td>75.53</td>\n",
       "      <td>75.22</td>\n",
       "      <td>71.08</td>\n",
       "      <td>70.79</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2024-06-10</td>\n",
       "      <td>77.74</td>\n",
       "      <td>77.33</td>\n",
       "      <td>72.47</td>\n",
       "      <td>72.14</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2024-06-11</td>\n",
       "      <td>77.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>72.80</td>\n",
       "      <td>72.47</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2024-06-12</td>\n",
       "      <td>78.50</td>\n",
       "      <td>78.15</td>\n",
       "      <td>73.19</td>\n",
       "      <td>72.85</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2024-06-13</td>\n",
       "      <td>78.62</td>\n",
       "      <td>78.26</td>\n",
       "      <td>73.35</td>\n",
       "      <td>73.00</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           date  FrontMonth  SecondMonth  ThirteenthMonth  FourteenthMonth  \\\n",
       "314  2024-06-07       75.53        75.22            71.08            70.79   \n",
       "315  2024-06-10       77.74        77.33            72.47            72.14   \n",
       "316  2024-06-11       77.90        77.55            72.80            72.47   \n",
       "317  2024-06-12       78.50        78.15            73.19            72.85   \n",
       "318  2024-06-13       78.62        78.26            73.35            73.00   \n",
       "\n",
       "     FrontSynthetic  ThirteenthSynthetic  Carry  CarrySMA20  CarrySMA5  \\\n",
       "314               0                    0      0           0          0   \n",
       "315               0                    0      0           0          0   \n",
       "316               0                    0      0           0          0   \n",
       "317               0                    0      0           0          0   \n",
       "318               0                    0      0           0          0   \n",
       "\n",
       "     CarryMom  \n",
       "314         0  \n",
       "315         0  \n",
       "316         0  \n",
       "317         0  \n",
       "318         0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datos['FrontSynthetic'] = 0\n",
    "datos['ThirteenthSynthetic'] = 0\n",
    "datos['Carry'] = 0\n",
    "datos['CarrySMA20'] = 0\n",
    "datos['CarrySMA5'] = 0\n",
    "datos['CarryMom'] = 0\n",
    "\n",
    "display(datos.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "15ad3ed0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-06-13\n"
     ]
    },
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>FrontMonth</th>\n",
       "      <th>SecondMonth</th>\n",
       "      <th>ThirteenthMonth</th>\n",
       "      <th>FourteenthMonth</th>\n",
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       "      <th>ThirteenthSynthetic</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-03-21</td>\n",
       "      <td>69.67</td>\n",
       "      <td>69.77</td>\n",
       "      <td>67.09</td>\n",
       "      <td>66.90</td>\n",
       "      <td>63.93</td>\n",
       "      <td>61.66</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-03-22</td>\n",
       "      <td>70.90</td>\n",
       "      <td>71.02</td>\n",
       "      <td>67.86</td>\n",
       "      <td>67.61</td>\n",
       "      <td>65.16</td>\n",
       "      <td>62.43</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-03-23</td>\n",
       "      <td>69.96</td>\n",
       "      <td>70.12</td>\n",
       "      <td>67.42</td>\n",
       "      <td>67.18</td>\n",
       "      <td>64.22</td>\n",
       "      <td>61.99</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-03-24</td>\n",
       "      <td>69.26</td>\n",
       "      <td>69.41</td>\n",
       "      <td>66.96</td>\n",
       "      <td>66.77</td>\n",
       "      <td>63.52</td>\n",
       "      <td>61.53</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-03-27</td>\n",
       "      <td>72.81</td>\n",
       "      <td>72.93</td>\n",
       "      <td>69.80</td>\n",
       "      <td>69.53</td>\n",
       "      <td>67.07</td>\n",
       "      <td>64.37</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "         date  FrontMonth  SecondMonth  ThirteenthMonth  FourteenthMonth  \\\n",
       "0  2023-03-21       69.67        69.77            67.09            66.90   \n",
       "1  2023-03-22       70.90        71.02            67.86            67.61   \n",
       "2  2023-03-23       69.96        70.12            67.42            67.18   \n",
       "3  2023-03-24       69.26        69.41            66.96            66.77   \n",
       "4  2023-03-27       72.81        72.93            69.80            69.53   \n",
       "\n",
       "   FrontSynthetic  ThirteenthSynthetic  Carry  CarrySMA20  CarrySMA5  CarryMom  \n",
       "0           63.93                61.66      0           0          0         0  \n",
       "1           65.16                62.43      0           0          0         0  \n",
       "2           64.22                61.99      0           0          0         0  \n",
       "3           63.52                61.53      0           0          0         0  \n",
       "4           67.07                64.37      0           0          0         0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create synthetic contract\n",
    "\n",
    "roll_diff_F = 0\n",
    "roll_diff_T = 0\n",
    "\n",
    "# index of date used to compute synthetic contracts (could also be today or last date of the series)\n",
    "indE = 318    # 13-06-2024\n",
    "print(datos.loc[indE,'date'])\n",
    "\n",
    "# find index of previous closer lastTradingDay\n",
    "for indT in range(last_Day.index[-1],-1,-1):\n",
    "    if datos.loc[indE,'date'] > last_Day.loc[indT,'lastTradingDay']:\n",
    "        break\n",
    "\n",
    "# find closer lastBusinessDay\n",
    "indB = indT + 1\n",
    "\n",
    "if datos.loc[indE,'date'] == last_Day.loc[indB,'lastBusinessDay']:\n",
    "    roll_diff_F = roll_diff_F + datos.loc[indE,'SecondMonth']     - datos.loc[indE,'FrontMonth']\n",
    "    roll_diff_T = roll_diff_T + datos.loc[indE,'FourteenthMonth'] - datos.loc[indE,'ThirteenthMonth']\n",
    "    datos.loc[indE,'FrontSynthetic'] = datos.loc[indE,'FrontMonth'] + roll_diff_F\n",
    "    datos.loc[indE,'ThirteenthSynthetic'] = datos.loc[indE,'ThirteenthMonth'] + roll_diff_T\n",
    "elif datos.loc[indE,'date'] < last_Day.loc[indB,'lastBusinessDay']:\n",
    "    datos.loc[indE,'FrontSynthetic'] = datos.loc[indE,'FrontMonth'] + roll_diff_F\n",
    "    datos.loc[indE,'ThirteenthSynthetic'] = datos.loc[indE,'ThirteenthMonth'] + roll_diff_T\n",
    "else:\n",
    "    datos.loc[indE,'FrontSynthetic'] = datos.loc[indE,'SecondMonth'] + roll_diff_F\n",
    "    datos.loc[indE,'ThirteenthSynthetic'] = datos.loc[indE,'FourteenthMonth'] + roll_diff_T\n",
    "\n",
    "for ind in range(indE-1,-1,-1):\n",
    "    if datos.loc[ind,'date'] == last_Day.loc[indT,'lastTradingDay']:\n",
    "        indT = indT - 1\n",
    "        indB = indB - 1\n",
    "        datos.loc[ind,'FrontSynthetic'] = datos.loc[ind,'SecondMonth'] + roll_diff_F\n",
    "        datos.loc[ind,'ThirteenthSynthetic'] = datos.loc[ind,'FourteenthMonth'] + roll_diff_T\n",
    "    else:\n",
    "        if datos.loc[ind,'date'] == last_Day.loc[indB,'lastBusinessDay']:\n",
    "            roll_diff_F = roll_diff_F + datos.loc[ind,'SecondMonth']     - datos.loc[ind,'FrontMonth']\n",
    "            roll_diff_T = roll_diff_T + datos.loc[ind,'FourteenthMonth'] - datos.loc[ind,'ThirteenthMonth']\n",
    "            datos.loc[ind,'FrontSynthetic'] = datos.loc[ind,'FrontMonth'] + roll_diff_F\n",
    "            datos.loc[ind,'ThirteenthSynthetic'] = datos.loc[ind,'ThirteenthMonth'] + roll_diff_T\n",
    "        elif datos.loc[ind,'date'] < last_Day.loc[indB,'lastBusinessDay']:\n",
    "            datos.loc[ind,'FrontSynthetic'] = datos.loc[ind,'FrontMonth'] + roll_diff_F\n",
    "            datos.loc[ind,'ThirteenthSynthetic'] = datos.loc[ind,'ThirteenthMonth'] + roll_diff_T\n",
    "        else:\n",
    "            datos.loc[ind,'FrontSynthetic'] = datos.loc[ind,'SecondMonth'] + roll_diff_F\n",
    "            datos.loc[ind,'ThirteenthSynthetic'] = datos.loc[ind,'FourteenthMonth'] + roll_diff_T\n",
    "        \n",
    "display(datos.head())\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b9666945",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>FrontMonth</th>\n",
       "      <th>SecondMonth</th>\n",
       "      <th>ThirteenthMonth</th>\n",
       "      <th>FourteenthMonth</th>\n",
       "      <th>FrontSynthetic</th>\n",
       "      <th>ThirteenthSynthetic</th>\n",
       "      <th>Carry</th>\n",
       "      <th>CarrySMA20</th>\n",
       "      <th>CarrySMA5</th>\n",
       "      <th>CarryMom</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>2024-06-07</td>\n",
       "      <td>75.53</td>\n",
       "      <td>75.22</td>\n",
       "      <td>71.08</td>\n",
       "      <td>70.79</td>\n",
       "      <td>75.22</td>\n",
       "      <td>70.79</td>\n",
       "      <td>4.43</td>\n",
       "      <td>5.0575</td>\n",
       "      <td>4.170</td>\n",
       "      <td>-0.6275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>2024-06-10</td>\n",
       "      <td>77.74</td>\n",
       "      <td>77.33</td>\n",
       "      <td>72.47</td>\n",
       "      <td>72.14</td>\n",
       "      <td>77.33</td>\n",
       "      <td>72.14</td>\n",
       "      <td>5.19</td>\n",
       "      <td>5.0290</td>\n",
       "      <td>4.510</td>\n",
       "      <td>0.1610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>2024-06-11</td>\n",
       "      <td>77.90</td>\n",
       "      <td>77.55</td>\n",
       "      <td>72.80</td>\n",
       "      <td>72.47</td>\n",
       "      <td>77.55</td>\n",
       "      <td>72.47</td>\n",
       "      <td>5.08</td>\n",
       "      <td>5.0200</td>\n",
       "      <td>4.774</td>\n",
       "      <td>0.0600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>2024-06-12</td>\n",
       "      <td>78.50</td>\n",
       "      <td>78.15</td>\n",
       "      <td>73.19</td>\n",
       "      <td>72.85</td>\n",
       "      <td>78.15</td>\n",
       "      <td>72.85</td>\n",
       "      <td>5.30</td>\n",
       "      <td>5.0090</td>\n",
       "      <td>4.956</td>\n",
       "      <td>0.2910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>2024-06-13</td>\n",
       "      <td>78.62</td>\n",
       "      <td>78.26</td>\n",
       "      <td>73.35</td>\n",
       "      <td>73.00</td>\n",
       "      <td>78.26</td>\n",
       "      <td>73.00</td>\n",
       "      <td>5.26</td>\n",
       "      <td>4.9920</td>\n",
       "      <td>5.052</td>\n",
       "      <td>0.2680</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           date  FrontMonth  SecondMonth  ThirteenthMonth  FourteenthMonth  \\\n",
       "314  2024-06-07       75.53        75.22            71.08            70.79   \n",
       "315  2024-06-10       77.74        77.33            72.47            72.14   \n",
       "316  2024-06-11       77.90        77.55            72.80            72.47   \n",
       "317  2024-06-12       78.50        78.15            73.19            72.85   \n",
       "318  2024-06-13       78.62        78.26            73.35            73.00   \n",
       "\n",
       "     FrontSynthetic  ThirteenthSynthetic  Carry  CarrySMA20  CarrySMA5  \\\n",
       "314           75.22                70.79   4.43      5.0575      4.170   \n",
       "315           77.33                72.14   5.19      5.0290      4.510   \n",
       "316           77.55                72.47   5.08      5.0200      4.774   \n",
       "317           78.15                72.85   5.30      5.0090      4.956   \n",
       "318           78.26                73.00   5.26      4.9920      5.052   \n",
       "\n",
       "     CarryMom  \n",
       "314   -0.6275  \n",
       "315    0.1610  \n",
       "316    0.0600  \n",
       "317    0.2910  \n",
       "318    0.2680  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datos['Carry'] = datos['FrontSynthetic'] - datos['ThirteenthSynthetic']\n",
    "\n",
    "#datos['Carry'] = datos['FrontMonth'] - datos['ThirteenthMonth']\n",
    "\n",
    "datos['CarrySMA20'] = datos['Carry'].rolling(20).mean()\n",
    "\n",
    "datos['CarrySMA5'] = datos['Carry'].rolling(5).mean()\n",
    "\n",
    "datos['CarryMom'] = datos['Carry'] - datos['CarrySMA20']\n",
    "\n",
    "display(datos.tail())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "933548ae",
   "metadata": {},
   "source": [
    "## WTI Carry Strategy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec583ab5",
   "metadata": {},
   "source": [
    "### Graph of WTI price against the annual Carry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "0d68c67e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "color = 'tab:red'\n",
    "ax1.set_ylabel('WTI Price ($/b)', rotation=90)\n",
    "ax1.plot(datos['date'].iloc[:], datos['FrontMonth'].iloc[:], color=color)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "color = 'tab:blue'\n",
    "ax2.set_ylabel('Carry ($/b)', rotation=90)\n",
    "ax2.plot(datos['date'].iloc[:], datos['Carry'].iloc[:], color=color)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "plt.grid(color = 'gray', linestyle = '--', linewidth = 0.5)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e35493b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-06-13\n",
      "2024-06-13\n"
     ]
    }
   ],
   "source": [
    "print(datos.loc[59,'date'])\n",
    "print(datos.loc[318,'date'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dc1acb36",
   "metadata": {},
   "source": [
    "### Backtesting the Carry strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "aef303db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>PnL</th>\n",
       "      <th>logPnL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-06-13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-06-14</td>\n",
       "      <td>-1.12</td>\n",
       "      <td>-0.017730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-06-15</td>\n",
       "      <td>2.35</td>\n",
       "      <td>0.036847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-06-16</td>\n",
       "      <td>1.12</td>\n",
       "      <td>0.017094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-06-19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date   PnL    logPnL\n",
       "0  2023-06-13  0.00  0.000000\n",
       "1  2023-06-14 -1.12 -0.017730\n",
       "2  2023-06-15  2.35  0.036847\n",
       "3  2023-06-16  1.12  0.017094\n",
       "4  2023-06-19  0.00  0.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total PnL in $/b for the given time period:\n",
      "10.81\n",
      "Total log-return (%) for the given time period:\n",
      "14.61\n"
     ]
    }
   ],
   "source": [
    "# WTI Carry strategy with rollover on the last business day of each month\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "# these two indices determine initial and final dates for the analysis\n",
    "ind = 59\n",
    "indE = 318   # End date\n",
    "\n",
    "pos = 0\n",
    "open_p = -1\n",
    "close_p = -1\n",
    "PnL = [0]\n",
    "logPnL = [0]\n",
    "cross_index = []\n",
    "\n",
    "open_p = datos.iloc[ind].FrontSynthetic\n",
    "if datos.iloc[ind].Carry > 0:\n",
    "    pos = 1\n",
    "else:\n",
    "    pos = -1\n",
    "cross_index.append(ind)\n",
    "\n",
    "# change position when Carry changes sign\n",
    "for index in datos.iloc[ind+1:indE+1].iterrows():\n",
    "    indy = index[0]\n",
    "    \n",
    "    close_p = datos['FrontSynthetic'].iloc[indy]\n",
    "    PnL.append(pos*(close_p-open_p))\n",
    "    logPnL.append(pos*np.log(close_p/open_p))\n",
    "    open_p = close_p\n",
    "    \n",
    "    if datos.iloc[indy].Carry*datos.iloc[indy-1].Carry < 0:\n",
    "        \n",
    "        if datos.iloc[indy].Carry > 0:\n",
    "            pos = 1\n",
    "        else:\n",
    "            pos = -1\n",
    "        cross_index.append(indy)\n",
    "\n",
    "results = pd.DataFrame(\n",
    "                {'date': datos['date'].iloc[ind:indE+1],\n",
    "                 'PnL': PnL,\n",
    "                 'logPnL': logPnL\n",
    "                })\n",
    "results.reset_index(drop=True, inplace=True)\n",
    "display(results.head())\n",
    "\n",
    "print('Total PnL in $/b for the given time period:')\n",
    "print('%.2f' % results.PnL.sum())\n",
    "\n",
    "logPnL_sum = results.logPnL.sum() * 100\n",
    "\n",
    "print('Total log-return (%) for the given time period:')\n",
    "print('%.2f' % logPnL_sum)\n",
    "        \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2403a732",
   "metadata": {},
   "source": [
    "### Obtain results for every month in the time interval of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "70b57534",
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>PnL</th>\n",
       "      <th>logPnL</th>\n",
       "      <th>Month</th>\n",
       "      <th>logPnL_c</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>July</td>\n",
       "      <td>11.02</td>\n",
       "      <td>0.157079</td>\n",
       "      <td>2023-07-01</td>\n",
       "      <td>15.707894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>August</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0.030016</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>18.709484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023</td>\n",
       "      <td>September</td>\n",
       "      <td>7.83</td>\n",
       "      <td>0.095520</td>\n",
       "      <td>2023-09-01</td>\n",
       "      <td>28.261446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023</td>\n",
       "      <td>October</td>\n",
       "      <td>-7.78</td>\n",
       "      <td>-0.094880</td>\n",
       "      <td>2023-10-01</td>\n",
       "      <td>18.773467</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023</td>\n",
       "      <td>November</td>\n",
       "      <td>-4.54</td>\n",
       "      <td>-0.059833</td>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>12.790128</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023</td>\n",
       "      <td>December</td>\n",
       "      <td>-4.40</td>\n",
       "      <td>-0.061618</td>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>6.628302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024</td>\n",
       "      <td>January</td>\n",
       "      <td>4.01</td>\n",
       "      <td>0.056307</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>12.259045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024</td>\n",
       "      <td>February</td>\n",
       "      <td>2.55</td>\n",
       "      <td>0.034225</td>\n",
       "      <td>2024-02-01</td>\n",
       "      <td>15.681509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024</td>\n",
       "      <td>March</td>\n",
       "      <td>5.72</td>\n",
       "      <td>0.072759</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>22.957444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024</td>\n",
       "      <td>April</td>\n",
       "      <td>-0.49</td>\n",
       "      <td>-0.006030</td>\n",
       "      <td>2024-04-01</td>\n",
       "      <td>22.354477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024</td>\n",
       "      <td>May</td>\n",
       "      <td>-4.29</td>\n",
       "      <td>-0.054403</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>16.91415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024</td>\n",
       "      <td>June</td>\n",
       "      <td>1.53</td>\n",
       "      <td>0.019744</td>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>18.888535</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year      month    PnL    logPnL      Month   logPnL_c\n",
       "0   2023       July  11.02  0.157079 2023-07-01  15.707894\n",
       "1   2023     August   2.31  0.030016 2023-08-01  18.709484\n",
       "2   2023  September   7.83  0.095520 2023-09-01  28.261446\n",
       "3   2023    October  -7.78 -0.094880 2023-10-01  18.773467\n",
       "4   2023   November  -4.54 -0.059833 2023-11-01  12.790128\n",
       "5   2023   December  -4.40 -0.061618 2023-12-01   6.628302\n",
       "6   2024    January   4.01  0.056307 2024-01-01  12.259045\n",
       "7   2024   February   2.55  0.034225 2024-02-01  15.681509\n",
       "8   2024      March   5.72  0.072759 2024-03-01  22.957444\n",
       "9   2024      April  -0.49 -0.006030 2024-04-01  22.354477\n",
       "10  2024        May  -4.29 -0.054403 2024-05-01   16.91415\n",
       "11  2024       June   1.53  0.019744 2024-06-01  18.888535"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results.date = pd.to_datetime(results.date)\n",
    "PnL_monthly = results.groupby([results['date'].dt.year.rename('year'), results['date'].dt.month_name().rename('month')], sort=False)[['PnL','logPnL']].sum().reset_index()\n",
    "PnL_monthly['Month'] = pd.to_datetime(PnL_monthly['year'].astype(str)  + PnL_monthly['month'], format='%Y%B')\n",
    "\n",
    "PnL_monthly.drop([0], inplace=True)\n",
    "PnL_monthly.reset_index(inplace=True, drop=True)\n",
    "PnL_monthly['logPnL_c'] = ''\n",
    "PnL_monthly.loc[0,'logPnL_c'] = PnL_monthly.loc[0,'logPnL'] * 100\n",
    "for ind in PnL_monthly.index[1:]:\n",
    "    PnL_monthly.loc[ind,'logPnL_c'] = PnL_monthly.loc[ind-1,'logPnL_c'] + PnL_monthly.loc[ind,'logPnL'] * 100\n",
    "    \n",
    "display(PnL_monthly)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "177a9199",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ubLzckiVLmDNnTt3PmuhoXNu0oSo7G92BA3gPHNgicSrVtfkTLCPyZz2RO9uI/Dkv2XTFCoI16goT92/eRIjqenbV3bE60R0rCIIgtDKiYSdj54wNTwwRqukzMjBkZICrK9revRt8T1xc3HXPaesadqKe3Y00lD+h+UT+rCdyZxuRP+clGnYyViYmTzRJV7PahGf37qi9vBp8j5+f33XP1c6MLT92DFNZmeMCbAUayp/QfCJ/1hO5s43In/MSDTsZ6+ra+Dq4ApTtrilzcs0yYlerLSB6NbeoSDSRkWA0oqsppCk0rKH8Cc0n8mc9kTvbiPw5L9GwExTJbDZTVtOVqrWi0HBdPTvRHSsIgiC0IqJhJ2N7RbmTRul//x1jXh4qDw88e/Zs9H2jRo1q8HkvUc+uWRrLn9A8In/WE7mzjcif8xINOxlr61IodQiyVdsNq01IQO3W+FjE2rUnr1U7gaLi+HGMJSX2D7CVaCx/QvOI/FlP5M42In/OSzTsZCxUXSp1CLLV3G7YjIyMBp/XtGmDJiYGTCZ0+/bZPb7WorH8Cc0j8mc9kTvbiPw5L9Gwk7FKs2zqR8uKuaqqbq3XG9Wv02q1jb5W2x2rS9lrv+BamabyJ9yYyJ/1RO5sI/LnvETDTsZ2GNpJHYIsVZw4gamkBLWPDx43qNU0adKkRl/TJooJFDfSVP6EGxP5s57InW1E/pyXaNjJ2HC301KHIEt14+sSE1G5uDT53oULFzb6mrbmjl3FiRMYi4rsF2Ar0lT+hBsT+bOeyJ1tRP6cl2jYCYpTW5i4sfVhm0sTGopbu3ZgNotxdoIgCEKrIBp2MnbB6C91CLJj0uvrigo3VZi4VqdOnZp8XVtX9kR0xzbkRvkTmibyZz2RO9uI/Dkv0bCTsctmT6lDkJ3yQ4cwV1TgEhyM20033fD9oaGhTb7uVbdurKhn15Ab5U9omsif9UTubCPy57xEw07GurlmSx2C7NR1w/brh0qluuH7d+zY0eTrtfXsKn/7japCUTfwWjfKn9A0kT/ridzZRuTPeYmGnaAodevD3qDMSXO5BgfjdlMHAHR7RdkTQRAEQdlEw07GDhgipQ5BVoylZZQfPQo0f33YYcOG3fA9XnVlT0R37LWakz+hcSJ/1hO5s43In/MSDTsZi3ApljoEWSnfvw+qqtBEReEWFdWsz6Slpd3wPdp+NQ27FDGB4lrNyZ/QOJE/64nc2Ubkz3mJhp2MhavFGqZXK9tT3fCypBv2/PnzN3yPNrEvAJWnf6cqP9+64Fqp5uRPaJzIn/VE7mwj8ue8RMNOxgzmpovvOpuymokT2n7Nb9i5ubnd8D2uAQG4d+4MULdUmVCtOfkTGifyZz2RO9uI/Dkv0bCTsSRDe6lDkI2qwkIqT5wAmle/rta0adOa9b7a2bFlomFXT3PzJzRM5M96Ine2EflzXqJhJ2ND3MQYiVq1ExvcO96Ea3Bwsz+3ZMmSZr3Pq5+oZ9eQ5uZPaJjIn/VE7mwj8ue8RMNOxlwwSR2CbJQl13TD3tLfos9VVVU1633avn1BpUJ/5gyG3FyL42utmps/oWEif9YTubONyJ/zEg07Gcsy+kodgmzoauvXWdANC9C+ffO6s138/HC/uUv1vlJEPbtazc2f0DCRP+uJ3NlG5M95uUodgNC4XJO31CHIgiEnB/25c6BWV99Zs0BMTEyz3+uV2I/K1BPokpPxmzDewihbJ0vyJ1xP5M96Ine2EfmzXd7/PqFk40b0Z86g8vDAs1cvQufOxb19u7r3nL/7nuuK2/vPmkWbea+0cLRXiDt2MtZTkyV1CLJQOxvWo2tXXHwtu4u5devWZr9X2692AoWoZ1fLkvwJ1xP5s57InW1E/myn27uXgDvuIHbxImK++BxzlYH0B/6ISaer9z7/GTPouD2p7hH61N8liriauGMnyN6Vblj7LCPWGG2fPqBWYzifjiEnB014uEP3JwiCIMhXzGef1vs5Yv58Tg8YSMXx4/V6j1SeHriGhLR0eI0Sd+xk7LAhQuoQJGc2mylLrr6DprVwfB3A4MGDm/1eFx8fPOLiAFHPrpYl+ROuJ/JnPZE724j8Na6kpITi4uK6R2VlZbM+ZyqpXjRA7edX7/niVas5dUt/zkycSO4772IqL7d7zJYQDTsZC1aXSR2C5PTnzlGVk4NKo0GbkGDx5zMzMy16f113bLLojgXL8yfUJ/JnPZE724j8NS4uLg4/P7+6x/z582/4GbPJxMXX5+OZkIBHp051z/tOmEDEm28S8/XXBP35zxT9/DNZTz/tyPBvSDTsZCzSpUjqECSnq2lgefbqhdrT0+LPW7peolfturGinh0g1pu0lcif9UTubCPy17jU1FSKiorqHs8999wNP5Pz6qtUnj5N5Lvv1Hs+YNZMvG8dhEfnTvhNnEjEGwso2fgr+vR0R4V/Q6JhJ2NmVFKHILmy3bX16yzvhgVQqy07xD0TeoOLC4aMDAziG6/F+RPqE/mznsidbUT+Gufj44Ovr2/dw93dvcn357z6T0q3biPmm69vOPbas3t3APTnRcNOaMBm/U1ShyAps8lUd8fOy8LCxLVmzZpl0ftdvL3wjI8HoEzctbM4f0J9In/WE7mzjcif7cxmMzmv/pOSX3+l7Vdf4hYVdcPPVJw8CYBrqHSTKUTDTsYGa85IHYKkKn/7DePly6i1Wjy7xVu1jWXLlln8mdp1Y3VinJ1V+ROuEPmznsidbUT+bJfz6qsUrVpFxNtvofbyourSJaouXcJUUQGAPj2dSx99RPmx4+gzMinZvJmsZ55F26cPHp07Sxa3KHciYxqVUeoQJFW2p2Z8Xd8+qDQaq7bR3NlOV9P260f+p59StjcFs9mMSuW8XeLW5E+4QuTPeiJ3thH5s93lhYsASL/n3nrPt3n9dfynTkGl0aDbtZvCr7/BVF6Oa5twfEaNJPihh6QIt45o2MnYRZOP1CFIqmzPbgC8+llfv86a6uvahF6g0VCVlY0hIwO36Gir9690onq9bUT+rCdyZxuRP9vdfPJEk69r2rSh7XfftlA0zScadjJ2weh34ze1UmaDgfK9+wDw6t90wy722TWNvuanKqdoVcOvn1vQ8LJh1V2/3Sg/cABdcrJTN+w6XTWtX7CcyJ/1RO5sI/LnvMQYOxnro8mQOgTJlB89hkmnw8XfH3cbxipYm8Mr9eycewLFr7/+KnUIiibyZz2RO9uI/DkvxdyxG7hgM5mXr6/mfPctbfnn5OsH1i/Zd4Gnlh6p95ybq5pT/xrrsBgF+6nthtX264dKgmn7Xv36kf/xf9ElJzv9ODtBEARBORTTsPv5rwMxms11P5/KKeWuz5MZ161No5/xcXdl099vq/tZpbC6cEernHetUl3NxIkbdcPeiLU59OzZE5VGQ1VuLvpz53Bv186mOJRq4MCBUoegaCJ/1hO5s43In/NSTFdskLc7oT4edY9NJy/SNkjLLe0DG/+QinqfCfFpugih3PipKqQOQRKm8nLKDx4Equ/Y2cLaHKo9PPDs0QMAXcpem2JQsry8PKlDUDSRP+uJ3NlG5M95KaZhdzV9lYkVBzOZ2Se6yS4ynd7IwAWb6T9/Ew98vY9TF0tuuO3Kysp6iwOXlNz4M44S43JZsn1LqfzgQcwGA67h4bjFxtq0LVtyqK1bXsx569n99ttvUoegaCJ/1hO5s43In/NSTFfs1Tak5lBcUcX03o1XgW4f4s2b07rTpY0PJRVVfJp0hmkf7WLDk4Np49f4mqPz589n3rx51z2/YsUKgoKCmDp1Kps2baKoqIjQ0FASExNZvXo1AAkJCZhMJg4dOgTApEmT2LFjB/n5+QQGBjJ48GBWrFgBQPfu3dFoNAx3Ow3Abn1bOrteIlCto8zsxl5DFMHqMoa7neasMZBys4Y414sApBiiSUpKIjMzEy8vLyZMmMDixYsB6Ny5M8HBwezcuROAESNGcOrUKdLT03F3d2fq1KksXrwYk8lEhw4diIyMJCkpCYAhQ4aQnp7OmTNncHV1ZcaMGfz000/o9Xratm1Lhw4d2Lx5MwCDBg0iNzeXU6dOATBnzhxWrlyJTqcjKiqKuLg4NmzYAED//v0pKioiNTUVgBkzZrB+/XpKSkoIDw8nISGBtWvXAtC3b18qV61CDeSGhRJdWcnWrVspLCwkODiY/v37s2rVKgB69eoFUJfDnfpY4l0v4qcup8TszkFDRF0OzxiD0Jtd6OKaC8AeQwxbtmwhJycHHx8fxowZw5IlS4ArC0QfKS2hI1C6Zw/bk5LIyMxEq9UyadIkFi5cCFTPPAsNDWXHjh0ADBs2jLS0NM6fP4+bmxvTpk1jyZIlVFVV0b59e2JiYti6dSsAgwcPJjMzk7S0NNRqNbNmzWLZsmVUVlYSExNDp06d6gZADxw4kLy8vLqL9axZs1i9ejVlZWVERkYSHx/PL7/8AkC/fv0oLS3l+PHjAEyfPp0NGzZQXFxMWFgYffr0Yc2a6pnCvXv3xmAwcORI9XjUyZMnk5SUREFBAUFBQRiNxrrftWfPnqjVag4cOADAhAkTSElJITc3Fz8/P4YPH15XFDU+Ph6tVktKSvXkk7Fjx3L48GGysrLw9vZm3Lhx/PjjjwB06dKFwMBAdu3aBcDIkSM5efIkFy5cwNPTk8mTJ7No0SLMZjMdO3YkPDyc7du3AzB06FDOnTvH2bNn0Wg0TJ8+naVLl2IwGGjXrh2xsbFs2bIFgFtvvZWcnBxOnz6NSqVi9uzZrFixgvLycqKjo+nSpQsbN24EYMCAARQUFHCypor8zJkzWbt2LaWlpURERNCjRw/WrVsHQGJiIjqdjmPHjgHUu0bk5eVRUlJi0zVi//79AIwfP559+/Zx8eJFfH19GTVqFEuXLgWga9eueHt7k1zzJWT06NEcO3ZM0deIixcvsnDhwgavERUVFRw9ehSAKVOm3PAacbCmB2DixIns3r2bvLw8AgICGDJkCMuXLwegW7dueHh4sHdv9R36cePGceDAgSavEbt3V48FHjVqFKmpqWRkZMjmGmE2m/n5558dfo0YNGgQK1euBOR/jSguLsYZqMzmqwauKcTdnyfj5qLm8z/0bfZnDEYTI97dxu09Ipg7qvFZlpWVlfUKO2ZmZhIXF8eFCxeIasZyIpZqqlSHCnOj68U2VqqjNTg7cxYVR47QZsF8/CdPvuH7HZVDk17Pqb6JmCsrab9mNe4dOtwwltbGZDKJNSdtIPJnPZE724j8XS8jI4Po6GiH/T2XC8X9r2cU6tj5ex6z+lpWW0zjoqZrhC/n8nVNvs/d3b3e4sA+PtIVCR6gOS/ZvqViLC6moubOh9cttk2cANtyqHZzw7PmG3+Zk3bH1t5pEqwj8mc9kTvbiPw5L8U17JbsyyDI251hXUIt+pzRZOZkTgmhCppA4aEySB1Ci9Pt2wcmE26xsWjCbZ8VbGsOvfrVrhvrnPXsysrKpA5B0UT+rCdyZxuRP+elqDF2JpOZpfszmJYQhatL/Tbpk4sPEebnwTNjugDw/q+n6RXjT2yQF8UVBv6XdIbMwnJmW3inT0p5Ji+pQ2hxZbv3AKC9xbbZsLVszaE2saZhl+Kc68ZGRkZKHYKiifxZT+TONiJ/zktRDbsdv+eRebmcmX2u7xvPvFxe749uUbmB55Yd5VJJJb6eGrpF+vLTQwPoGKac9VfPGJso5dJK6WrXh72lv122Z2sOPbt1Q+XpibGwkMrTp/FwsmV64uOvL/4tNJ/In/VE7mwj8ue8FNUVO7hTCOcWjKd9iPd1ry1+sD/vzOxR9/NLE+PY+ewwTr02ln3/GMGX9yUSH6mstVcTNRekDqFFVeXlUXn6d+DKkl62sjWHKjc3tDXj7JyxO7Z2Fp1gHZE/64nc2Ubkz3kpqmEntG5lNatNuN98M64BARJHc0VdPbsU55xAIQiCICiHaNjJWGpVmNQhtChdcvX4OnvMhq1ljxzWTaBI2YvZZLJ5e0rSz8aVP5ydyJ/1RO5sI/LnvETDTsY8nWxWbO3ECS87TZwA++TQo2tX1FotxqIiKp2smntpaanUISiayJ/1RO5sI/LnvETDTsbauRRIHUKL0WdkYMjIAFdXPHv3sdt27ZFDlUaDZ+/eQPXsWGdSW5lesI7In/VE7mwj8ue8RMNOkAXdnuq7dZ7duuHiLb8yL7XdsWVOOIFCEARBUA7RsJOxrfr2UofQYmonTnj1t9/4OrBfDusmUOzdi9lotMs2lWD69OlSh6BoIn/WE7mzjcif8xINOxnrq8mQOoQWYTabKauZOKHtZ9+Gnb1y6HHzzai9vTGVlFBx4qRdtqkEtYu0C9YR+bOeyJ1tRP6cl2jYyZiXSi91CC1Cn5aG8VIeKnd3PHv1tOu27ZVDlasr2j7VY/90TrRubHFxsdQhKJrIn/VE7mwj8ue8RMNOxgpMWqlDaBF1y4j1TkDt5mbXbdszh7XdsWVOVM8uLMy5Su7Ym8if9UTubCPy57xEw07GfqsKkTqEFlG2p3Z9WPssI3Y1e+awdgJF+b79mKuq7LZdOevTx34zlJ2RyJ/1RO5sI/LnvETDTsb6u52XOgSHMxuNdSVE7D1xAuybQ/fOnVH7+mIqK6MiNdVu25WzNWvWSB2Coon8WU/kzjYif85LNOwESVWkpmIqKUHt44NHXJzU4TRJ5eKCtm9fAMqcaJydIAiCoByiYSdjztAVW9cNm5iIysXF7tu3dw7rlhdzknp2vWsKMwvWEfmznFmvp3DxjyRUVWEsKpI6HMUSx57zcpU6AKFxrrT+dUl1tcuIOWhdQ3vnsK6e3YEDmA0GVBqNXbcvNwaDcy1rZ28if5Yr+PY7ct96C4BTr8/HvVMntH36oO3bB23v3riGtP4vvPYgjj3nJe7YyVgH13ypQ3Aok16P7sABwDHj68D+OXTv2BEXf3/MOh3lR4/ZddtydOTIEalDUDSRP8sV//ILAAatFsxmKn/7jcLvvyfzb09w+tbBpI0ZS/aLL1L0888YsrIkjla+xLHnvMQdO0Ey5YcOYa6owCU4GLebbpI6nGZRqdVoExMp2bABXUoK2oReUockCK2GISeHiiNHQKXit4f+wpQpU9Dt249u3z50+/ZR+dtv6M+dQ3/uHJeXLAVAExGBtm8fPPv0QdunD26xsahUKol/E0GQjmjYydh2fTupQ3AoXe0yYv36OexC7IgcXmnYJcNfHrT79uVk8uTJUoegaCJ/lin5dRMAngkJTLjrLlw9PfEdMxrfMaMBMBYVodt/oK6hV3H8OIasLIpW/kzRyp8BcAkJru667dMHbZ++uHe8CZXa+TqnxLHnvETDTsZ6aLLZa4iWOgyHuVK/zjHj68AxOaybQHHgICa93u5FleUkKSmJ0aNHSx2GYon8WaZk40YAfEaMaDB3Ln5++Awbis+woQCYysrQHTpU3dDbu5eKw0cwXsqjZN16StatB0Dt54e2d++acXp98bi5CyrX1v+nTxx7zqv1H90K5quqkDoEhzGVlVFeMwbEq7/9CxPXckQO3W66CZegIIz5+VQcOVK31FhrVFBQIHUIiiby13xVhYXo9u4FwGfkCAq2b7/hZ9ReXngPHIj3wIEAmCorqThypKahtw/dwYOYiooo3byZ0s2bqz+j1eKZkFA3IcOjW7dW+eVMHHvOSzTsZKzI5CF1CA6j278fqqrQREXhFhXlsP04IocqlQptYl9K1q2nLDm5VTfsgoKCpA5B0UT+mq908xYwmXCPuxm3qCircqd2d0fbt291vcmHwGwwUJGaeqWht38/ppISynbsoGzHDoDqNap79Khr6Hn26IFaq/zlHMWx57xEw07GjlaFSx2Cw9StD+vAblhwXA69+vWjZN366np2jzzikH3IwaBBg6QOQdFE/prv6m5YsE/uVBoNnj164NmjB0F//CNmo5HK06fRpeytG6dnLChAl5JStwIOrq54du16ZUJG7964+PjYHEtLE8ee83K+EaUKMsjtnNQhOExZck39OgesD3s1R+VQm1jdIC0/dAhTZaVD9iEHK1eulDoERRP5ax5jaRllO3cC4DtyJOCY3KlcXPDo0oXAe+4m6j/v03HnDtqvXUP4vHn4TpyIa3g4VFVRfvgw+Z99TsZfHuJUYj/OTJ1KzuuvU7xhA1UK6eIUx57zEnfshBZXVVhI5YmTwJWJCErj1i4Wl5BgjJfyKD90WLG/hyDIQVnSNswGA26xsS1a+kilUuHevj3u7dsTMGsmZrMZQ2Zmdbftvuq7eobz6VSmnqAy9QSF33wLgFuHDvgMH07Io39t9UXKBeURDTsZ+70qWOoQHEKXshfMZtw73uTwKvKOyqFKpcIrsR/Fa9agS05utQ27nj17Sh2Coon8NU/Jr78C4DNyZF3pIylyp1KpcKsZ9+s/ZTIAhou5dY288n37qDz9O/q0NPLT0nAJDCDoD39o8TibQxx7zkt0xcqYidZZZLNsz24AtP0cs9rE1RyZQ21NY64sJdlh+5Ca2gnrf9mTyN+NmSorKd26DaieDVtLLrnThIXiN348bV5+mfarVtFx9y6CHvoLAIXffofZaJQ4wobJJX9CyxP/8zLWyfWS1CE4RF1hYgctI3Y1R+awdn3b8sNHMJWXO2w/UjpQs+SbYB2Rvxsr27ULk06Ha3g4HvHxdc/LNXeuAQEE//nPuPj5YcjMrCuqLDdyzZ/geKJhJ7Qow8WL6M+eBbW6uiSBgmliYqoHWxsMlB88KHU4gqBIJRtrumFHjFDMChFqT0/858wGoODrryWORhDqE2PsZGyXvq3UIdidrma1CY+uXXHx9XX4/hyZQ5VKhVe/RIpW/kxZcgpeAwY4bF9SmTBhgtQhKJrIX9PaP/0zP6xfjx/wp7PeHH12Td1rnnjw3OE1DX7u3ILxLRRh4wLuuIP8z7+g/MAByo8exbNbN6lDqkcce/J34sQJFi1axPbt2zl//jw6nY6QkBB69erF6NGjmTZtGu7u7hZvVxlfj5zUza65Uodgd7X167wcXL+ulqNzWFv2pK4GViuT0kp/r5Yi8te0+Pyz+Ol1FLlpOR5Uf11nuV//NKGh+I0bC0DBV/K7ayeOPfk6cOAAI0aMoFevXuzYsYN+/frxt7/9jX/+85/cddddmM1mXnjhBSIiInjjjTeotLCklrhjJ2MB6tY1bstsNlOWXD2+TnuL48fXgeNzWDuBovzoUUxlZai9vBy6v5aWmyvvP65yJ/LXtIFZRwHYEx6PSe1S7zUlXP8C772XopU/U/zLL4Q+9Xc04fIpKi+OPfmaNm0aTz31FEuXLsXf37/R9+3evZv333+fd955h+eff77Z2xcNOxkrNVt+C1bODOfPU5WdjUqjQZuQ0CL7dHQO3aKi0EREYMjKQnfgIN63tq5q735+flKHoGgif40zm0wMyD4GwM6I+OteV8L1zyMuDm3fvuj27qXw++8JnTtX6pDqiGNPvk6dOoWmGfUP+/fvT//+/TEYDBZtX3TFyth+Q6TUIdhVWc34Os+ePVF7erbIPlsih9p+td2xra/syfDhw6UOQdFE/hpXcewYwRVF6FzdORTS8brXlXL9C/zDvQAU/rgEk04ncTRXiGNPvprTqLPl/aJhJ2O3uZ2ROgS7Kqspc6JtgTIntVoih3X17JJb35iWZcuWSR2Coon8Na52bdi9YTdjcLn+D5dSrn/eQ4agiYnBVFTE5RUrpA6njjj2lCU7O5vp06cTEhJCYGAgEydO5MwZ684B0bATWoTZZKqbEevVQuPrWkptPbuK48cxlpZKHI0gyJ/ZbKZkQ3XDrqFuWCVRubgQePfdABR+/Q1mk0niiAQluv/++4mPj2fbtm1s3ryZsLAw7rjjDqu2JRp2MnbGGCh1CHZTeeoUxsuXUWm1LVoWoCVyqGnTBk1MDBiNlO/f7/D9taT4eGX/0ZWayF/D9L//jv78efRqV/aFdmnwPUq6/vlPnYLaxwf9+fOUbtsmdTiAOPbk7vHHH6esrKzu599//51nnnmGuLg4evbsyeOPP85vv/1m1bZFw07GKs2tZ25LbZkTbZ/eLbpodkvlUJtYXWy5tXXHarVaqUNQNJG/hhXXdMMeDOlIucajwfco6fqn9vLCf8YMQD6lT8SxJ29RUVH07t2bn3/+GYBZs2bRr18/nn32WebOncvtt9/OnXfeadW2FdOwe2/jKWKfXVPvMeydrU1+Zs2RbIa9s5VO/1jH6PeS2HJSWdO/5V7HyRJXumH7t+h+WyqHtd2xuuTWNYFC1MKyjchfw2pXm9gZ0fjde6Vd/wLvuhNcXNAlJ1Nx4oTU4YhjT+aeeuop1q1bx8cff8zUqVN56KGHeO211zAYDBiNRt58800++OADq7atnK9EQKcwb7574EphW9cmlp/Zf76AxxYd5OnRnRl+cygrD2Xx52/3sfrRW+kc7tMS4Qo1zAYDur17gZYrTNzSagsVV5w4gbG4uEVW1RAEJdJnZFB54gS4uJAc3lXqcOxGExGBz6iRlKxbT8HX3xCxYL7UIQky165dO9atW8f333/PbbfdxuOPP87bb7+NSqWyabuKuWMH4KJWE+rjUfcI9HJr9L1f7DzHbZ1CePC2DtwU6sPcUZ3pGuHH17vPtVzANko2xEgdgl2UHzuGSafDxd8f9y4Nj6dxlJbKoSYsFLfYWDCZ0O3b1yL7bAljx46VOgRFE/m7Xu3dOm3fvhS7N17QW4nXv6A//AGA4jVrqLp0SdJYxLGnDPn5+dx5553s3buXgwcP0r9/f44cOWLTNhXVsDuXV0bia79y65ubeXzRQTIvN16Z/OD5QgbeFFzvucGdQjhwvrDJfVRWVlJcXFz3KCkpsUvs1ujgki/Zvu2pthtW269fiy/y3ZI51LbC7tjDhw9LHYKiifxdr7bMic+IEU2+T4nXP88ePfDs2ROzwUDhwoWSxiKOPXnbtGkTYWFhhISEEBUVxcmTJ/niiy+YP38+c+bM4emnn6a83LrVVxTTFdszxp+3Z/SgfYgXuSWVvP/rKWb+dze/PDEYb/frf41LpZUEe9e/oxfi7UZeadNrrs2fP5958+Zd9/yKFSsICgpi6tSpbNq0iaKiIkJDQ0lMTGT16tUAJCQkYDKZOHToEACTJk1ix44d5OfnExgYyODBg1lRU+eoe/fuaDQahrudBmC3vi2dXS8RqNZRZnZjryGKLq65BKvLOGsMpNysIc71IgAphmiSkpLIzMzEy8uLCRMmsHjxYgA6d+5McHAwO3fuBGDEiBGcOnWK9PR03N3dmTp1KosXL8ZkMtGhQwciIyNJSkoCYMiQIaSnp3PmzBlcXV2ZMWMGP/30E3q9nrZt29KhQwc2b94MwKBBg8jNzeXUqVMAzJkzh5UrV6LT6YiKiiIuLo4NGzZU52Vr9SyxVBcXti9cyIwZM1i/fj0lJSWEh4eTkJDA2rVrAejbty8VFRUcPVq91NCUKVPYunUrhYWFBAcH079/f1atWgVAr169AOpyuFMfS7zrRfzU5ZSY3TloiKjL4RljEHqzC11qxu3sMcSwZcsWcnJy8PHxYcyYMSxZsgSAuLg4/Pz82L17NwCjRo0iNTWVjIwMtFotkyZNYmHNRbtTp06EhoayY8cO/KuqiAVyt2xhc2wsbm5uTJs2jSVLllBVVUX79u2JiYlh69atAAwePJjMzEzS0tJQq9XMmjWLZcuWUVlZSUxMDJ06deLXX6vvbgwcOJC8vLy6WVKzZs1i9erVlJWVERkZSXx8PL/88gsA/fr1o7S0lOPHjwMwffp0NmzYQHFxMWFhYfTp04c1a6oXV+/duzcGg6HuG+LkyZNJSkqioKCAoKAgcnNz637Xnj17olarOXDgAFC9yHhKSgq5ubn4+fkxfPjwutpZ8fHxaLXaunE+Y8eO5fDhw2RlZeHt7c24ceP48ccfAejSpQuBgYHs2rULgJEjR3Ly5EkuXLiAp6cnkydPZtGiRZjNZjp27Eh4eDjbt28HYOjQoZw7d46zZ8+i0WiYPn06S5cuxWAw0K5dO2JjY9myZQsAt956Kzk5OZw+fRqVSsXs2bNZsWIF5eXlREdH06VLFzbWNDoGDBhAQUEBJ0+eBGDmzJmsXbuW0tJSIiIi6NGjB+vWrQMgMTERnU7HsWPVqyhcfY3Iy8sjISHBpmvE/pqZ1uPHj2ffvn1cvHgRX19fRo0axdKlSwHo2rUr3t7eJNd8qRg9ejTHjh2T3TVi9bff0v7AAVRAVe8Ehp+qPmaPV4XhpdIT61L9xXurvgMdXfIIVpeRb9Jy2hjMLZp0AE5WhXLs2DGLrhEHDx4EYOLEiezevZu8vDwCAgIYMmQIy5cvB6Bbt254eHiwt2bYyLhx4zhw4IDF14jQrnFEHDpEzldfs8nfn45du9ZdIwCGDRtGWloa58+fd+g1wmw28/PPPzv8GjFo0CBWrlwJyP8aUVxcjFw88sgjPP300zzyyCOsX7+ev/3tbyQnJzN06FAOHDjAq6++Ss+ePa2aGasym81mB8TscEXlBgYt2Mw/JtzMrL7X37Lv+MJa3p7Rg0k9r1Qv/3b3Od7fdJp9/xjZ6HYrKyvrLbibmZlJXFwcFy5cICoqyr6/BBD77JpGXxugOccuQ2yDr51bMN7usTiCqaKCU4n9MOv1tF+3Fvd27W78IQvJJYdVly5x+tbBoFLRafcuXJpYA1ApVq1axcSJE6UOQ7FE/uorXLSInFfm4dGjO+0WL5bNuWtP5qoq0kaNxpCVRfg/XyWgZrZsSxPH3vUyMjKIjo522N9zS/j5+ZGcnEyXLl2oqKggLi7uuoLEx48fp2tXy8ehKqor9mp+nhrahXhxLr/hJVxCvN3JK9XXe+5SqZ5g76bXH3R3d8fX17fu4eMj3USL3QocY3Kt8gMHMOv1uIaFVY9Ba2EtmUPXkBDcOnQAs5mymm/9Sjdu3DipQ1A0kb/6asfX+Y5s/Mt1LaVe/1SurgTcdRcAhd98g1T3TsSxJ2+3334706dP5/nnn2fUqFEN/n9Z06gDBTfsyiqrOJ+vI9Sn4YZar7YB7Po9r95zO05fIqFtQEuEZxfD3NKkDsFmtcuIed1yi80zfazR0jn0qlleTNdK6tnVdoUI1hH5u8JYVERZTVfxjcbXgbKvf/4zpqPWaqk8/TtlO3dJEoM49uTt888/58EHH6SoqIi77rqLf//733bbtk0Nu6u7LB3ttTWp7DmTz4UCHfvPF/Dgt/txUau4vUcEAE8uPsQb60/Wvf/+gbFsO3WJT5PO8HtuKe9tPMXRzCLu7R/bYjELUFY7caKVLSPWmNqyJ61pAoUg2EPp1q1QVYV7x46S3L1vSS4+PvhNmwZAwdfyKFgsyIubmxuPPvooH374IX/+859xdbXflAeLGnbr1q3j3nvvpX379mg0GrRaLb6+vtx222289tprZGVl2S2wa2UXVfDYwoMMf2cbj3x/EH+thuUPDyCopms183I5ucVXGpq92wby/uxeLExJZ9z721l3LJtP7u6jqBp2543KubvYEGNJCRU1A8qlql/X0jnU1tyxqzx9mqqCghbdtyN0aeHyNK2NyN8VJTWD/H2a0Q0Lyr/+Bd59F6hUlG3fTmVay999FMeefO2pueHRHDqdrm6SS3M1q4m4fPlynnnmGUpKShg3bhzPPPMMEREReHp6UlBQwLFjx/j111/55z//yR/+8Af++c9/EhISYlEgN/J/dyQ0+friB69f0WB89zaM797GrnG0pBJz0+MB5U63dy+YTLi1bYumjTT/Dy2dQ9eAANw7daLy1Cl0KXvxHTO6Rfdvb4GBylmvU45E/qqZdDpKt1fPCvUZeeNuWFD+9c8tJgbv4cMo/XUTBV9/Q5tXr6+24Eji2JOvu+++m/bt2/PAAw8wbtw4vLyur+eYmprKd999x5dffskbb7xh0Xi7ZjXs3nzzTd577z3Gjh2LuoE6ZDNnzgSqZ5B+8MEHfPfddzzxxBPNDkJoWLxrDhf1yrnDeK26btj+0nXDSpFDbb9+NQ27ZMU37Hbt2kXbtm2lDkOxRP6qle7YgbmiAk1UVLOLlCv9+gcQdO+9lP66iaKVKwl54m+4BrTcXUhx7MlXamoqH3/8Mf/4xz+444476NSpExEREXh4eFBYWMjJkycpLS1lypQpbNiwgW7dGl96ryHNatjV1uq5kcjISBYsWGBRAELrpdstzfqwUtMm9qXw228payUTKATBVrWzYX1GjpRkEpVUPPv0wSMujorUVC4vWkTwQw9JHZIgAxqNhscee4zHHnuMffv2sWPHDs6fP095eTk9evTgiSeeYOjQoVbfdbVptF7tNG5nOlFb0j6DtHV2bFGVl0fl6erCwbXjzqQgRQ69+vYFlQp9WhpVly7haudhCS1pZDPHQwkNE/kDs15fPXGC5o+vA2Vf/2qpVCoC7/sDWU89TcEPPxD4xz+idmt8KUx7EseeMvTp04c+ffrYdZtWzYr9/PPPiY+Px8PDAw8PD+Lj4/nss8/sGpgAMS6XpQ7BarVlDdxvvrlFux+uJUUOr14TtyxF2XftaldeEKwj8gdlySmYSkpwCQnGs2ePZn9Oyde/q/mOHo1raCjGS3kU16yw0xLEsee8LG7YvfTSSzz++ONMnDiRJUuWsGTJEiZOnMgTTzzBSy+95IgYnVaoulTqEKxWuz6sVz9pZsPWkiqHXomto57dhQsXpA5B0UT+rlobdvhwi9aKVvL172oqNzcC7rwTgIKvW65gsTj2nJfFDbuPP/6YTz/9lPnz53P77bdz++23M3/+fD755BM++ugjR8TotPRmxSzle526wsQSTpwA6XKorWnQ6hR+x87T01PqEBTN2fNnNhop2bQJsKwbFpR9/btWwKyZqDw8qDxxAl1Ky6xK4+zHnjOzuGFnMBga7A/u3bs3VVVVdglKqLbdYP91VVuCPiMTw4UL4OqKZ2/7jh2wlFQ51PbpDWo1+nPnMFzMlSQGe5g8ebLUISias+ev/NAhjPn5qH196+5iN5dSr38NcfH3x2/yJKDlChY7+7HnzCxu2N199918/PHH1z3/ySefcGfN7WbBPoa5/S51CFbRJVd3w3p264aL9/X1eVqSVDl08fXF4+abAdClKHcVikWLFkkdgqI5e/5KNtR0ww4dgkqjseizSr3+NSbwnnsBKN2yBf358w7fn7Mfe86sWfe6n3zyybp/q1QqPvvsMzZs2MAtNctEJScnk56ezj333OOYKJ2UCmkWj7ZV2e7aZcSkHV8H0uZQ268fFcePU5acjN/EiZLFYQupFjBvLZw5f2az+cr4OitmaCr1+tcY9/bt8LptMGXbkij45lvCX/yHQ/fnzMee0mzatIlNmzaRm5uLyWSq99oXX3xh8faa1bA7ePBgvZ979+4NQFrNMinBwcEEBwdbvOyF0LQMo5/UIVjMbDZTliyf+nVS5tCrXyIFX3yh6AkUHTt2lDoERXPm/FWkpmLIykLl6YnXwIEWf16J178bCbr3Xsq2JXF5+XJCHn8MF19fh+3LmY89JZk3bx6vvvoqffr0oU2bNnYpH9esht2WLVts3pFguXyTVuoQLKZPS8N4KQ+Vu7tFpQ0cRcocevbuAy4uGC5cwJCVhSYiQrJYrBUeHi51CIrmzPmrXRvWe9Ag1FYM5Ffi9e9GtP371y05eHnJEoL++EeH7cuZjz17yfvfJ5Rs3Ij+zBlUHh549upF6Ny5uLe/Mv7TVFlJ7htvULxmLSaDAe+BAwl/+SVcg4ObtY///ve/fPXVV9x99912i7vZY+xiYmJ49NFH2bhxo5gk0UJ6aLKlDsFitbNhtb0TULtLv9ajlDl08fbCI756fT+l1rPbvn271CEomjPnr64bdpR1hXKVeP27EZVKReC91UOWCr77HrMD/5Y687FnL7q9ewm44w5iFy8i5ovPMVcZSH/gj5h0urr3XJw/n5ItW4l8/9+0/eYbqnJzyXj0sWbvQ6/XM2DAALvG3ez55N9++y0///wzDz/8MJcuXWL06NHcfvvtjB8/Hn9/f7sGJShX2Z7q5ee0MuiGlQOvxH5UHD6CLjkFfzFLrVWKfXZNo68Nd7vIc428fm7BeEeFJLnKM2fR/54GGg3et90mdTiy4jthArnvvkdVdjYlGzbgO26c1CEJjYj57NN6P0fMn8/pAQOpOH4cbd++GEtKuPzTMiLfeguvmjkHbea/zplx4yk/dAjPnj1vuI8HHniAH374gRdffNFucTe7YXfbbbdx22238c4773D8+HF+/vlnPvjgA/74xz8yYMCAupp27du3t1twzu6gIVLqECxiNhrrajR5yWDiBEifQ21iIvmffoouWZkzY4cOHSp1CIom9fEnldpuWK9bbrF6HFlrzZ3a3Z2A2bPJ+/BD8r/+2mENO3Hu2p+ppAQAtV/1+M+K48fBYMBrwJUbGe7t2+Ma0QZdMxt2FRUVfPLJJ/z66690794dzTWzx999912L47RqSbGuXbvy3HPPsWfPHs6dO8ecOXPYtGkT8fHxxMfHs2ZN499gheYLV5dIHYJFKlJPYCouRu3jg0dcnNThANLnUJvQC1xdMWRloc/IkDQWa5w7d07qEBRN6uNPKnXdsCNGWL2N1py7gDmzUbm5Vd/Nv2Zyor2Ic7dxJSUlFBcX1z0qKytv+BmzycTF1+fjmZCAR6dOAFRdykOl0Vz35cU1KBhjXl6zYjly5Ag9e/ZErVZz7NgxDh48WPc4dOiQxb8bWHDHrjHh4eH86U9/4k9/+hM6nY5ffvkFdxmMrWoN2rgUk2oMkzqMZqvrhu3bF5WrPKrGS51DtZcXnt26UX7wILrkZNyilLWw+dmzZ+vKGgmWk/r4k4IhK4uKo0dBpcJn+DCrt9Oac+caHIzvxAkU/bSMgq++Rturl933Ic7dxsVdc+Ph5Zdf5pVXXmnyMzmvvkrl6dO0/eF7u8VhNBqZN28e3bp1I8COa6pbdcfuaiaTibNnz2I0GtFqtUyZMoURNnxLE64wmm3+72lRutplxGR0MZFDDrX9qivulymwO/babgHBMnI4/lpaya/VS4h59k5o9szAhrT23NUWLC7ZuBF9Rqbdty/O3calpqZSVFRU93juueeafH/Oq/+kdOs2Yr75Gs1Vs41dQ4IxGwwYi4vrvb8qPw+XZhz7Li4ujBo1isuXL1v1ezTGojNn+fLl/Pjjj3U/nzlzhvbt29OhQwciIiLYu7dl1sBzFlsNHaQOodlMej26/fsBeRQmriWHHHrVrRu7V3FFQ6dPny51CIomh+OvpdWOr/O1oijx1Vp77jw6d6oem2UyUfjdd3bfvjh3G+fj44Ovr2/do7FeRrPZTM6r/6Tk119p+9WX1/W4eHTtChpNXVF+qJ44VJWVjbYZ4+sA4uPjOXPmjNW/S0Msati99dZbGAyGup9ffPFFbr75Zo4cOcLtt9/O3Llz7RqcsxuiSZM6hGarOHwYc0UFLkFBuMuoMKYccujZqxcqjYaqnBwM6elSh2ORpUuXSh2Cosnh+GtJVQUF6PbtA8B7uG09N86Qu8B7q+/aXV66FGNpmV23Lc5d2+W8+ipFq1YR8fZbqL28qLp0iapLlzBVVADg4uOD/7SpXHxjAWV7kik/dpzs55/Hs2fPZk2cAPjXv/7F3//+d1avXk12dna9sX/F19wJbK5mDYRKT0/HbDbz+++/ExAQUPfz+vXr+eSTT/D19eXPf/4zI0aMIL3mD1dMTIxVAQlXuKhMN36TTNR+Y/Hq188ulbPtRQ45VHt44NmjB7p9+yhLTsatbVupQ2q2q7/ICZaTw/HXkko3bwaTCY+4ONyibJvV6gy587r1VtzatUN/9ixFy34i0I7Lcopz13aXF1avt5te021eq83rr+M/dQoAYc89h0qtJuPxxzHr9XgPGkj4Sy81ex/jamZF33777fX+dprNZlQqFUaj0eK4m9Ww+/LLLwHQ6XSsW7eOvXv3kpGRQWVlJcePH+fYsWOYTCbKy8v56quvAHjJgl9MaFi20XHLzdhb7fgxbX/5jK8D+eRQm5iIbt8+dMkpBMycKXU4zdauXbsbv0lolFyOv5ZSbGNR4qs5Q+5UajWB995DzivzKPjmWwLuvBOVi4tdti3OXdvdfPLEDd+jdncn/KWXLGrMXc0RK3s1q2H38ssvA7Bq1SqCgoJ4+eWXeeqppxg8eHBdA+7s2bN88cUXokFnRzkmH6lDaBZTWRnlhw8D4NVfXoWJ5ZJDbb9+8NFHlKUk130TU4LY2FipQ1A0uRx/LcFYWopuV/XMeFvKnNRyltz5TZrEpff+jSEjg5LNm20em1hLnLvKcJsDCnhbNMbumWee4bXXXsPDw4MPP/yQF154oe61lStXMmjQILsH6Mx6aew/U8oRdAcOQFUVmshI2ZXzkEsOPXv2QOXmhvFSHvqzZ6UOp9nEOtG2kcvx1xJKt23DbDDg1q4dbh1sn/jgLLlTe3riP2sWAAVff2237YpzVxmSkpKafFjDomJjM2bMoGfPnhw5coTevXvX+0Zw8803M3bsWKuCEJStdnyd3Lph5UTt7o5nr17okpPRJSfjLlZoEVqZko3Vs2F9Ro5UzB1puQi48w7yv/iC8n37KT92HM+aNaaF1m/IkCHXPXf1+WPNGDuLCwV17NiRadOmXXebd/To0XTu3NniAITGHTa0kTqEZtHtqZ04Ib+GnZxyWFfPLiVF4kia79Zbb5U6BEWT0/HnSKaKCkpr7i742Kkr0VlyB6AJC8O35saIve7aiXNXGQoLC+s9cnNzWb9+PX379mXDhg1WbbNZDbt0C0s0ZGY6xy10RwtS66QO4YaMly9TcaJ6gKlc1oe9mpxyqMR6djk5OVKHoGhyOv4cqWzXbsw6Ha5t2uBhp7tNzpK7WrWlT4rXrcNw8aLN2xPnrjL4+fnVewQHBzNy5EjeeOMNnn76aau22ayGXd++fXnwwQebLEBcVFTEp59+Snx8PD/99JNVwQj1RbkUSR3CDZUlp4DZjNtNHXANCZE6nOvIKYce3bqh8vDAmJ+P/vffpQ6nWU6fPi11CIomp+PPka5eG9Ze3bDOkrtanvFd0fbpA1VVFH7/g83bE+eusoWFhfHbb79Z9dlmjbFLTU3ltddeY+TIkXh4eNC7d28iIiLw8PCgsLCQ1NRUjh8/TkJCAm+++WZdXRbBNmbkP05Fl1zTDXuLvGbD1pJTDtVubmgTelG2azdlySmyKuTcGDFWyjZyOv4cxVxVVV2/DvAZab/lJJ0hd9cK/MO96Pbt4/LixQT/5UHUWq3V2xLnrjIcOXKk3s9ms5ns7GwWLFhAz2YWOb5Wsxp2QUFBvPvuu7z22musWbOGHTt2cP78ecrLywkODubOO+9k9OjRxMfHWxWE0LDN+pukDuGG6goTy7AbFuSXQ21iP8p27UaXnEzgXXdKHc4NzZ49W+oQFE1ux58j6Pbtw1hUhEtgINreve22XWfI3bW8hw5FEx2N4cIFilauJGDOHKu3Jc5dZejZsycqleq64Tm33HILX3zxhVXbtGhWrKenJ9OnTxdr0LWQWzVn2W6Qb5FJw8WL1aU71Gq0iYlSh9MgueWwdgKFLiUFs8mESi3vhc5XrFjB5MmTpQ5DseR2/DlCyYbqbljvYUPtVlwXnCN311K5uBB4991cfP11Cr7+Bv9Zs6y+RohzVxnOXlP+Sq1WExISgoeHh9XblPdfFSfnpqqSOoQm1c6G9YiLw8VXnlXi5ZZDz/h4VFotxqIiKhUwBqa8vFzqEBRNbsefvZlNJkp+rS5zYq/CurVae+4a4zd1Kmpvb/TnztXNNLaGOHeVYdu2bYSHh9O2bVvatm1LdHQ0Hh4e6PV6vvnmG6u2KRp2MpZr8pY6hCaV7aleRsxLxvXr5JZDlUZT112lq1mGTc6io6OlDkHR5Hb82VvFkSNU5eai9vJCa+dVZ1p77hrj4u2F/4wZgG2lT+R+7lbl50sdgizcd999FBVdP1GopKSE++67z6ptioadjKUb/aUOoVFms5mymjt22lvk27CTYw61iX2BmhnFMtelSxepQ1A0OR5/9lR7t857yBDUbm523XZrz11TAu+6E9RqdLv3UGHlzEi5nrvmqiouvvUWaePGo7ewlFpr1NgSkxkZGfj5+Vm1TdGwk7E+mgypQ2iUIT2dquzs6jtQCQlSh9MoOeawrp7d3r2Yragq3pI21pSxEKwjx+PPXsxmM8W1ZU7sOBu2VmvO3Y1oIiPxGTUKgIKvreuOk+O5W1VYSPqf/kTB519gKiqiNGm71CFJplevXiQkJKBSqRg+fDgJCQl1jx49enDrrbcywso1ly2aPNGU3NxcPvvsM55//nl7bVKQsdrZsJ49e6L29JQ4GmXxiItD7eWFqbiYitQTeHYTs8kF5ak8dRrD+XRUbm54i1UO7C7w3nsoWb+e4lWrCH3yCVyDg6UOySYVqalk/PVRDFlZqLRaIl5/Dd8xY6QOSzK1E1sOHTrE6NGj8fa+MvTAzc2N2NhYpk2bZtW27dawy87O5sUXXxQNOzs6VhUudQgNMpvNlNYsMK2VaZmTWnLMocrVFa+BAynZsIGilStl3bAbMGCA1CEomhyPP3upLUrsNWgQai8vu2+/NeeuObS9euHRozsVh49QuHARIY/+1aLPy+ncLVq5kuyXXsZcWYmmbQxRH3yAR6dOUoclqZdffhmA2NhYZs2aZdMs2Gsppiv2wy2/c/v/7aDrS+vp/c+N/OmbfaRdKm3yM0v2XSD22TX1Hp3+sa6FIradj6pS6hAaVPjDD5Ru2wYqFT7DhkkdTpPkmkP/WTMBKFqxAlNZmcTRNK6goEDqEBRNrsefPdSOr/OxsrvoRlpz7porqGaZscKFCzFVWpYPOZy7ZoOBnNdeJ+uZZzFXVuJ122DaLVni9I26q917771UVFTw2Wef8dxzz9X9vx04cMDq5VkV07BLPlvA3be0ZfkjA/n2j/2oMpq45/MUdPqmp8T7uLuS8sLwusfOZ+TdELlaW5dCqUO4Ttnu3Vx8fT4AoXOfxOPmmyWOqGlyzCGAV//+uLVti6m0lKLVa6QOp1EnT56UOgRFk+vxZyt9ejqVJ0+CiwveQ4c4ZB+tNXeW8Bk1Ctc2bTAWFFC8erVFn5X63K3KyyP9vvsp/PZbAIIffpjojz+WbWksqRw5coROnTrxxhtv8Pbbb3P58mUAli1bxnPPPWfVNhXTsPvm/kRm9ImmU5gPcRG+vD2jB5mXyzmacYP1BFUQ6uNR9wjxcW+ZgFsh/blzZPztCTAa8Zt0O4F//KPUISmWSq3Gf051ZfjCH364ruq4IMhZycbqu3XaxL64BgRIHE3rpXJ1JfCuu4DqSRRKuU6UHznC2WnT0e3bh9rLi6gP/4+Qxx6VfUF2KTzxxBP84Q9/4PTp0/W6Y8eNG0eSlXUMmz3G7sknn2zy9UuXLlkVgLVKKqrv1Plrm55ir9MbGbhgMyazma4Rfjw9pjOdwnwafX9lZSWVV93yLikpsU/AVtis7yDZvq9lLC7mwkMPYyoqwrNHD8JffVURaxHKKYfX8p8yhUv/fp/K336j/OBBWc4unjlzptQhKJocjr/YZ62/I3xuwfgGny+pmw1r36LEV5ND7uTAf8Z0Ln34IZWnTqHbvRuvZo6dk+rcvbx0KTnzXsVsMODWvj1R//cB7u3bSxKLEuzbt49PPvnkuucjIyPJycmxapvNbtgdPHjwhu8ZPHiwVUFYymQy8+rqVPq0DaBzeOONtPYh3rw5rTtd2vhQUlHFp0lnmPbRLjY8OZg2fg3P5Jw/fz7z5s277vkVK1YQFBTE1KlT2bRpE0VFRYSGhpKYmMjqmlvkCQkJmEwmDh06BMCkSZPYsWMH+fn5BAYGMnjwYFasWAFA9+7d0Wg0DHerXn1gt74tnV0vEajWUWZ2Y68hiqnuxykwe3LWGEi5WUOc60UAUgzRJCUlkZmZiZeXFxMmTGDx4sUAdO7cmeDgYHbu3AnAiBEjOHXqFOnp6bi7uzN16lQWL16MyWSiQ4cOREZG1n0rGDJkCOnp6Zw5cwZXV1dmzJjBTz/9hL6igq7LV6A5exa9ry/HRgzHJTeX3NxcTp06BcCcOXNYuXIlOp2OqKgo4uLi2LBhAwD9+/enqKiI1NRUAGbMmMH69espKSkhPDychIQE1q5dC0Dfvn2pqKjg6NGjAEyZMoWtW7dSWFhIcHAw/fv3Z9WqVUD1dHGgLoc79bHEu17ET11Oidmdg4YIJrunUmD25IwxCL3ZhS6uuQDsMcSwZcsWcnJy8PHxYcyYMSxZsgSAuLg4/Pz82L17NwCjRo0iNTWVjIwMtFotkyZNYuHChQB06tSJ0NBQduzYAcCwYcNIS0vj/PnzuLm5MW3aNJYsWUJVVRXt27cnJiaGrVu3AtXnS2W/RNy2JXFo/gIGLPmRZcuWUVlZSUxMDJ06deLXmnFMAwcOJC8vj99qalrNmjWL1atXU1ZWRmRkJPHx8fzyyy8A9OvXj9LSUo4fPw7A9OnT2bBhA8XFxYSFhdGnTx/WrKn+Y9+7d28MBkPdQtSTJ08mKSmJgoICgoKCKCsro6KiAqhe01CtVnPgwAEAJkyYQEpKCrm5ufj5+TF8+HCWLVsGQHx8PFqtlpSU6lp9Y8eO5fDhw2RlZeHt7c24ceP48ccfgep6W4GBgezatQuAkSNHcvLkSS5cuICnpyeTJ09m0aJFmM1mOnbsSHh4ONu3V5dJGDp0KOfOnePs2bNoNBqmT5/O0qVLMRgMtGvXjtjYWLbUTPS59dZbycnJ4fTp06hUKmbPns2KFSsoLy8nOjqaLl261JWIGDBgAAUFBXXdWTNnzmTt2rWUlpYSERFBjx49WLeuerxuhNqMu6qK9i7VY2O26dvTW5OJt6oSL5WejZUdGeB2HoBTVSGoMXOTax4LFy5s1jVi//79AIwfP559+/Zx8eJFfH19GTVqFEuXLgWga9eueHt7k1xT9Hr06NEcO3aMzMxMBmoK2GVoyzC334Hq+nBFZg+6uVb/0dhniCLapYgwdQkGswtJhvYMc/sdFWZSUlKuu0ZcOHIEn5prnM/w4dXXCL2etm3b0qFDBzZv3gzAoEGDbniNqD13j1eF4aXSE1vT/bpV34Hb3VMpNruTb9Jy2hjMLZrqmmcnq0I5duyYRdeI2r9fEydOZPfu3eTl5REQEMCQIUNYvnw5AN26dcPDw4O9e/cC1XdMDhw4IPk1IjMzk4r4eEJSUsj/+mt+yclp1jXCq2ZCi6OvEYMGDWLlypWojEZ67N0HNfu43KUzcR9/zI7UVHKTk2VxjSguLkZu3N3dG4zr1KlThISEWLVNlVkp93av8sLyo2z97RJLH+rfaAOtIQajiRHvbuP2HhHMHdW5wfdce8cuMzOTuLg4Lly4QFRUlM2xX6upb9PD3U6zSd+xwdca+ybtCBfnL6Dg669ReXgQ+8P3eMTFtdi+m0MJOWxM+fHjnJs2HTQaOm7dgmtQkNQh1bNw4ULm2LAQuTOQ+/Fn7zt2hQsXkjPvVTx79CB28SJbQpN97uRCn55O2ugxYDbTfs1q3Dvc+G5mS567hou5ZP7tb5QfPAgqFSGPPUrQgw/Krus1IyOD6Ohoh/09t8YDDzxAfn4+P/74I4GBgRw5cgQXFxcmT57M4MGD+fe//23xNuWV9WZ4aeUxNp/MZdGfb7GoUQegcVHTNcKXc/m6Rt/j7u6Or69v3cPHp/E7go6WZ7J/CQFLXf7pp7plbSIWzJddo+5G5JDDpnh27YpHj+5gMHB5yVKpw7lORESE1CEomtyPP2vUdcOOclw3LLTO3FnLLSYG75oKBAXffNusz7TUuas7cICz06dRfvAgah8fov/7McEPPSS7Rp1cvfPOO5SWlhIaGkp5eTm33XYbN910E97e3rz22mtWbdPiOnZGo5GvvvqKTZs2kZubi8lkqvd67W14ezObzbz883F+OZ7Doj/3JzpQa/E2jCYzJ3NKGNo51AER2l+aUdq7N7r9+8l+pbpbOvivf1VkMUmpc9gcAXPmkH34CIWLFxP0pwdQubhIHVKdHj16SB2Coinh+LOE8fJlylKquyodVeakVmvLna0C772H0k2bKFq5kpC/PX7DSSuOPnfNZjOXFy0i5/X5YDDg3rEjUf/3AW5t2zp0v62Nn58fGzduZMeOHRw5coTS0lISEhKsXnUCrGjYPf7443z11VeMHz+e+Pj4FhtA/+LKY6w8lMWn9/TBy92F3JLqcT++Hho8NNV/CJ9cfIgwPw+eGVO9Rt77v56mV4w/sUFeFFcY+F/SGTILy5ndV96LI9fqp0lvtCvC0fQZmWQ8+hgYDCRFdGfBhRjMFnTpyKWrRMocNpfv2LHkLniDquxsSrdtk1VtwHXr1omuWBso4fizRMnWrVBVhXunTg7/A97acmcrbd++uMfdTGXqCS4v/pHgvzzY5Psdee6aKivJefVVin6qHi/nM2YMEa/9yyGFqp3FoEGDGDRoUN3PBw4c4KWXXqobw28Jixt2ixYt4scff2TcuHEW78wW3+2pHjg7+5M99Z5/a3p3ZvSpbqhlXi6v19AsKjfw3LKjXCqpxNdTQ7dIX356aAAdm5gVK4CprIyMhx/GWFDA736RvJswG7NK3FZ3FLW7O/7Tp5H/2ecU/rBQVg07QbhabZkTR86GFRqmUqkIuvdesp55lsLvvyfo/vtQuTVdFcIRDNnZZDz2OBVHj4JaTejcJwm8/35FVEmQm19++YWNGzfi5ubGAw88QPv27Tl58iTPPvssq1atYvTo0VZt1+KGnZubGzfddJNVO7NFc+4ALX6wf72fX5oYx0sTlTUm7Gonqlq+y9hsMpH59DNUnjqFS3Aw8xLuo9K15S8e9iJFDq3hP2sW+Z9/QdmOHejPncMtNlbqkABITEyUOgRFU8rx1xwmnY6ympmdjh5fB60rd/biO3YsuW+/Q9WlSxSvX4/f7bc3+l5HnLtlKSlk/u0JjAUFuPj5EfHuO3gPHGj3/TiDzz//nD/96U8EBgZSWFjIZ599xrvvvsujjz7KrFmzOHbsGDdbuQCAxbdh5s6dy/vvv6+YQolK5q5qelUNR7j0n/9QumkTKjc3ov/vA/K0/i0egz1JkUNruEVH4zW4eiH1wkWLJY7mCp2u8YlGwo0p5fhrjtLtO6rX+oyOxr0FloRqTbmzF5WbGwF33gFAwVdfN/l32J7nrtlspuCbb0i/736MBQW433wzsT8tFY06G7z//vu88cYb5OXl8eOPP5KXl8dHH33E0aNH+e9//2t1ow6saNjt2LGD77//ng4dOjBx4kSmTp1a7yHYT21drJZStGo1+f/9HwBt/vkqnj17tuj+HaGlc2iLwDuqL9iXly/HVF4ucTTVjh07JnUIiqak4+9Gri5K3BLdbq0pd/bkP2sWKnd3KlJTKd+3r9H32evcNZWXk/X0M9VLSRqN+E6cSOwP3+Mmk3IhSpWWlsaMGTMAmDp1Kq6urrz11lt2KcNicVesv78/U6ZMsXnHgryUHzlC9gsvABD0pwfwmzRJ4oicj9egQWiiojBkZFC8dh3+08QXJUEeTHo9pTVFc31GOnY2rNA014AA/CZP5vLixeR//TXavn0dtq/qSXSPUnniBLi4EPbM0wTcfbcYT2cH5eXlaLXV1T1UKhXu7u60adPGLtu2uGH35Zdf2mXHwo1t07fMMiyGixfJeOSvmPV6vIcMIeRvf2uR/baElsqhPahcXAiYPYvct9+h8Icf8Js6RfILqLgLbxslHX9N0e3Zg6m0FNeQEDxbqAROa8mdIwTeew+XFy+mdNNm9OnpuMXEXPceW8/d0p07yXpyLsaiIlwCA4l87z28+okxt/b02Wef4e3tDUBVVRVfffUVwcHB9d7z2GOPWbzdZjfsTCYTb731Fj///DN6vZ7hw4fz8ssv4+lpWZFgofl6azJJNlx/wtqTqaKCjEf+StWlS7h3vImIt9+SVR01W7VEDu3Jb9o0Lv3nAyqOH6fi6FE8u3eXNJ5Nmza1+Az41kRpx19jamfDeo8Y3mKFZ1tL7hzBvX17vAbfSlnSdgq+/Y7wF56/7j3Wnrtms5mCzz8n9933wGTCIz6eqA/+g8ZOd5OEajExMXz66ad1P4eHh/Ptt/WLT6tUKsc27F577TVeeeUVRowYgaenJ++//z65ubl88cUXFu9UaB5vVeWN32QDs9lM9vMvUHHsGC7+/kR99BEuNd8eWgtH59DeXAMC8B07lqKVKyn8YaHkDbuioiJJ9690Sjv+GmI2GinZtAkA3xYsc9IacudIgffeS1nSdop++omQxx7F5ZpVkqw5d01lZWT94x+UrFsPgN/UqYS//BJqd3e7xCxcce7cOYdtu9lfvb755hs++ugjfvnlF1asWMGqVav4/vvvr1t5QrCfQpNj74bm/+9/FK9dC66uRP7nfdyilVG42RKOzqEjBNxRXVS0eO1aqgoLJY0lNFSUnLCFEo+/a5UfOICxoAC1n59Dx3NdqzXkzpG8BgzAvWNHTDpdg8sRWnru6s+f59zsOdWNOo2G8Jdfos1r/xKNOgVqdsMuPT293m3dESNGoFKpyMrKckhggmPrOBVv3Milf78PQPiLL+LVSuuVKbEWlkf37njExWHW6ylatkzSWEQdO9so8fi7VnHtbNihQ1FpNC2239aQO0dSqVQE3nsPAAXffYu5qn55GEvO3dJt2zg7YyaVp0/jEhJM26+/ImDOHMnH+ArWaXbDrqqqCg8Pj3rPaTQaDAaD3YMSqg1wO++Q7VacPEnW088AEHDXXQTMmumQ/ciBo3LoSCqVqu6uXeHCRZglvCtuzXI2whVKPP6uZjabKfm1drWJlp0Nq/TctQTfiRNxCQykKiu7rhxNreacu2aTibyPP+bCXx7CVFyMZ8+etFv6E9qEBEeFLLSAZo+xM5vN/OEPf8D9qtuyFRUV/OUvf8HrqvXhlkl8h0FoWlV+PhcefhhzeTleA/oT9uwzUockNMB3/HguvvkWhowMynbswHvwYKlDEpxQxfFUqrKyUXl64iWK0cqO2t2dgNmzyfvoIwq++hrfsWOb/VljaSlZzz5L6a/V4yf9Z88i/PnnJVmmTLCvZt+xu/feewkNDcXPz6/ucddddxEREVHvOcF+TlWF2HV7Jr2ejEcfoyorG7e2bYl87z1UrhZXvFEUe+ewpag9PfGvqRdZ+MNCyeJIEN/cbaLU469W7V0g78GDUV/TY+NoSs9dSwm4Yw4qjYbyw4cpP3So7vmmzt3KM2c4N3MWpb9uQqXR0OZf/6TNK6+IRl0r0ey/6qJ+XctTY79l28xmMzmvzKP8wAHUPj5EffwxLk7QELdnDlua/+xZFHz9NaXbtqHPyJCk0ruYHGUbJR9/wJVu2BEtX5RY6blrKa7BwfhOmEDR8uXkf/01UTUrBjV27pZs2kTW089gKivDNSyMqA/+I/nse2eXlpbGl19+SVpaGu+//z6hoaGsW7eOmJgYunbtavH2WvftGoW7yTWP8/oAu2yr4Kuvqwfiq9VEvvce7u3b2WW7cmfPHLY093bt8BowgLJdu7i8eDGhc+e2eAyHDh2yac1CZ6fk4y+65CL6tDTQaPAecluL71/JuWtpgffeQ9Hy5ZRs2IghKwtNRMR1567ZZCLv//6PvI8+BkDbpw+R/34P12sK4tpT7LNrrPrcuQXj7RyJfG3bto2xY8cycOBAkpKSeO211wgNDeXw4cN8/vnnLF16/YznG2mZSpOCpEqTksh96y0Awp59Bu9BYqyMUtQu+H156U+YKkVdL6HlDMiqXmvUq/8t19VIE+TFo0sXtLfcAkYjBd99f93rxuJiMh56uK5RF3DP3cR8+YVDG3VC8zz77LP861//YuPGjbhd1RU+bNgw9uzZY9U2RcNOxnboY23eRmVaGplPzgWTCf8Z0wm4+27bA1MQe+RQSt633YZrmzYYCwsp+eWXFt//JLFmsE2UfPwNyD4KgE8LFiW+mpJzJ4XAP9wLwOUlSzCVldWdu5WnT3N2xgxKt21D5e5OxJtvVE+SaMHSNULjjh49ypSa8dRXCw0NJS8vz6ptioadjHVzzbHp81WFhVx46GFMpaV49ulN+IsvOl1dIltzKDWVq2tdOZrC739o8f3v2LGjxffZmij1+AvRFdLpcgao1fgMGyZJDErNnVS8Bw/GrV07TCUlXF62nB07dlC8/hfOzpqN4Xw6mogI2v7wPX633y51qMJV/P39yc7Ovu75gwcPEhkZadU2LW7YlZWVWbUjwXJ+6gqrP2s2GMh84kkM6eloIiOJ+s9/nHLGky05lAv/6dOhdtbb8eMtuu/8/PwW3V9ro9Tjb0B2dTesNiEB16AgSWJQau6kolKrCbynukem4NtvcVu8mMy//Q2zToe2/y3E/rQUTysG4guONXv2bJ555hlycnJQqVSYTCZ27tzJ3//+d+655x6rtmlxwy4sLIz7779ffJNvAcVm68sLXJw/H92ePai1WqI++gjXwEA7RqYctuRQLlyDg/EdNQqAy4sWtei+A530uLEXpR5/A7NqumFHSdMNC8rNnZT8Jk1C7eeHIT2dsJ27AAi8/35iPv0U1wAxEUWOXn/9dbp06UJ0dDSlpaXExcUxePBgBgwYwD/+8Q+rtmlxw+67776joKCAYcOG0alTJxYsWCCWFXOQw4Y2Vn2ucOHC6tpnKhURb7+FR+dOdo5MOazNodzUrkRRtGo1xuLiFtvvYFEY2SZKPP78Kkvomn8WkKbMSS0l5k5qaq2WgFmzAFB5eBDxztuEPf1Uq69XqmRubm58+umnpKWlsXr1ar777jtOnjzJt99+i4uLi1XbtLhhN3nyZFasWEFmZiZ/+ctf+OGHH2jbti0TJkxg2bJlVF2zXp1gvVvdzlr8mbI9e8j512sAhDzxhGTjY+TCmhzKkWdCAu6dOmGuqKBo+fIW2++KFStabF+tkRKPv1uyU1Fj5pR/FJqICMniUGLu5CD4r48Q9uI/SL3/PvzGO0/ZEKWq7f2MiYlh3LhxzJw5k44dO9q0TasnT4SEhPDkk09y5MgR3n33XX799VemT59OREQEL730EjqdzqbABMvpz58n4/G/gdGI78SJBP3pAalDEuyk3vqxPyyUdP1YoXUbWDMbdlebbhJHIlhD7eZG4J13UhkiVu5QgmHDhtGuXTuef/55UlNT7bJNqxt2Fy9e5M033yQuLo5nn32W6dOns2nTJt555x2WLVvG5MmT7RKgM0urav6gZWNJCRcefgRTUREe3bvT5l//dLoZsA2xJIdy5zthImovL/Tnz6Ozsr6RpbqLivQ2UdrxpzWU0zP3NAA7I6Rt2Cktd3Ijzl1lyMrKYu7cuWzbto34+Hh69uzJW2+9RUZGhtXbtLhht2zZMiZOnEh0dDQ//PADDz/8MJmZmXz33XcMHTqUu+++m5UrV7J161argxKqVTXzv8dsNJI5dy76tLTqJWL+7wPU7u4Ojk4ZmptDJXDx9sKv5gtT4cKWWT9WI2pd2URpx19izgk0ZiPpPqFk+IRKGovScic34txVhuDgYP7617+yc+dO0tLSmDFjBl9//TWxsbEMs3IolcVnzn333UdERAQ7d+7k0KFD/PWvf8Xf37/eeyIiInjhhResCki4orPrpWa9L/eddylL2o7Kw4OoDz9EEyrtBVlOmptDpQiYMxuAkk2bMTRQ+8je9u/f7/B9tGZKO/5qy5zIoRtWabmTG3HuKk+7du149tlnWbBgAd26dWPbtm1Wbcfihl12djb/+9//6Nu3b6Pv8fT05OWXX7YqIMEyl5ctp+CLLwCImP86nvGiTlFr5n7TTWgTE8FkovDHH6UOR2hF3IwG+l48AUjfDSsIzmbnzp08/PDDtGnThjvuuIP4+HjWrLFurd1mzYEuvqa8wrU/X83X19eqQITr7da3bfJ13YED5NQ0oIMffgjfsWNbIixFuVEOlSjgjjnoUlK4vGQpIQ895NDC0+PFrDqbKOn4S8j9DQ+jgYue/vzuZ13Fe3tSUu7kSJy7yvDcc8+xaNEisrKyGDlyJO+//z6TJk1Cq9Vavc1m3bHz9/cnICCgyUftewT7aaorwpCVRcajj2E2GPAZOZLgv/61BSNTjtbYneMzfDiuISEY8/Io+fVXh+5r3759Dt1+a6ek429AVnU37O423UAGE6+UlDs5EueuMiQlJfHUU0+RmZnJ6tWrmTNnjk2NOmjmHbstW7bYtBPBOoHqhkvGeFRVcuHhRzDm5+PepQsRbyxApRYDjRvSWA6VTKXR4D9zJnkffkjBDz/gO26cw/Z18eJFh23bGSjl+HMxGbklp3q5up0R8RJHU00puZMrce4qw86dO+2+zWY17G677Ta771i4sTLz9V1sKrOJufsXUZl9EpegIKI/+hC1ja371qyhHLYG/jNnkPff/1K+bz8Vv51y2OoiYmiFbZRy/HXLS8PHUM5lNy9Sg9pJHQ6gnNzJlTh35evnn39m7NixaDQafv755ybfe/vtt1u8favWGbl8+TIpKSnk5uZiuqZQqrWL1grX22uIuu65u05uYFD2UVQaDVEffCBpZXglaCiHrYEmLAyf4cMp2bCBwkULaeOgyUqjataoFayjlOOvtijx7jbxmFTyuPuvlNzJlTh35Wvy5Mnk5OQQGhraZM1flUqF0Wi0ePsWN+xWrVrFnXfeSWlpKb6+vvWK4KpUKtGws6MhbmfYpL+ytMjgjEPc8Vv1mKrwefPQJvSSKjTFuDaHrUnAHXdQsmEDxSt/JnTuXFy8ve2+j6VLlzJnzhy7b9dZKOH4U5lN9M+u7obdJZNuWFBG7uRMnLvydfUNsWtvjtmDxV/N5s6dy/33309paSmXL1+msLCw7lFQUGD3AIVqHQsv8OSBRQAsvek2/KdOkTgiQWrafom4tW+PSaej6Aa38wWhMZ0L0wmqKKbM1YPDwaIhJQgt6ZtvvqGysvK65/V6Pd98841V27S4YZeZmcljjz1m86wN4cbOGgMBCCwv4qXkL3E3VZES1oUvu4pp7M1Vm8PWSKVSETCndv3YHzCbzXbfR9euoi6iLZRw/A3Mqu6GTQm/GYOLVaNzHEIJuZMzce4qw3333UdRUdF1z5eUlHDfffdZtU2LG3ajR48W06hbSLlZg5vRwEvJXxFcUcx5nzDe6HOXbMbAKEG5uXUvq+M3eRIqrRb972no9u61+/a9HdC960xkf/yZzQysKXOyUwarTVxN9rmTOXHuKoPZbG5wXfeMjAz8/Pys2mazvp5dPWtj/PjxPPXUU6SmptKtW7fr1qOzZgaH0LA4lxx6p+yl8+ULFGu0zLvlPnQaD6nDUpQ414tk61vv7DAXHx/8Jk7k8uLFFC5ciFdiol23n5ycTPv27e26TWci9+MvtjibNrp8KtWu7AvrLHU49cg9d3Inzl1569WrFyqVCpVKxfDhw3F1vdIcMxqNnD17ljFjxli17WY17BqatfHqq69e95y1MziEhiWePMTgjINUqdS8lngP2V7BUockyFDAnNlcXryYko2/YsjNFWsFC81W2w27P7Qzla7uEkcjCM6jtl116NAhRo8eXe8Oq5ubG7GxsUybNs2qbTerYeeIWRvW+mb3Of637QyXSiu5uY0v827vSs9o/0bfv+ZINu9s/I2MwnLaBXnx7NguDO0i/z98t2QfY9DR6q61j7tP5kjITRJHpEwphmipQ3A4jy5d8ExIoPzAAS4vWULII4/YbdujR4+227ackdyPv4HZ1d2wu2S4Nqzccyd34tyVt5drSlTFxsYya9YsPDzs1xtn8WAtR8zgaK5Vh7P41+oTPD6iI2seHURcGx/u+TyZvNLr4wHYf76AxxYdZFafaNY+NohRXcP487f7+C2nxKFx2iq2KIun9/2AGjM/txvA2nYDpA5Jsdq7OMdM7dpJFJcX/4jZYLDbdo8dO2a3bTkjOR9/bUrzaFecjVGlJjk8TupwriPn3CmBOHeV4d5777Vrow6saNg5YgZHc3224yyzE6OZ2SeajmE+vDa5G55uLvy470KD7/9i5zlu6xTCg7d14KZQH+aO6kzXCD++3n3OoXHaaty5PXga9ZwPjeCTbpOkDkfRgtVlUofQInxGj8IlKIiq3FxK7LgEYGZmpt225YzkfPxNTdsGwOHgDpS6ya/KgZxzpwTi3FUGo9HI22+/TWJiIuHh4QQGBtZ7WMPihp0jZnA0h77KxLHMIgbedGWcmVqtYuBNwRw4f7nBzxw8X1jv/QCDO4Vw4Hxho/uprKykuLi47lFS0vJ39z7uPpnPuo5nSf9xGNUuLb7/1qTCSWbWqd3c8J8+HYDChQvttl0vLy+7bcsZyfX465d9nAlndwPwU8ch0gbTCLnmTinEuasM8+bN491332XWrFkUFRXx5JNPMnXqVNRqNa+88opV22x20SJHzuBojkKdHqPJTLB3/QG+Id7upF1q+JvdpdJKgr3drnm/W6NdtwDz589n3rx51z2/YsUKgoKCmDp1Kps2baKoqIjQ0FASExNZvXo1AAkJCZhMJg4dOgTApEmT2LFjB/n5+QQGBjJ48GBWrFgBQPfu3dFoNMzvUQxUzzbet28fFy9exNfXl1H/ms+SJUsYoSqma9eueHt7k5ycDFSPnUhKSiIzMxMvLy8mTJjA4sWLAejcuTPBwcF1CwuPGDGCU6dOkZ6ejru7O1OnTmXx4sWYTCY6dOhAZGQkSUlJAAwZMoT09HTOnDmDq6srM2bM4J2+Fej1etq2bUuHDh3YvHkzAIMGDSI3N5dTp04BMGfOHFauXIlOpyMqKor8/Hw2bNgAQP/+/SkqKiI1NRWAGTNmsH79ekpKSggPDychIYG1a9cC0LdvXyoqKjh6tHpQ95QpU9i6dSuFhYUEBwfTv39/Vq1aBVQfk0BdDidOnMju3bvJy8sjICCAIUOGsGzZMiaoiunWrRseHh7srSkJMm7cOLZs2UJOTg4+Pj6MGTOGJUuWABAXF4efnx+7d1f/4Rs1ahSpqalkZGSg1WqZNGkSC2saT506dSI0NJQdO3YAMGzYMNLS0jh//jxubm7M3evBELc0XDCRZfQl1+RNT00WAIcNEQSry4h0KcKMis36mxisOYNGZeT+0X3p1KkTv/5avdLIwIEDycvL47fffgNg1qxZrF69mrKyMiIjI4mPjyfJw504lQrd7j0cWbeO45cvAzB9+nQ2bNhAcXExYWFh9OnThzVr1gDQu3dv/vxVMh1c8wHYrm9HD002vqoKikweHKsKZ+W+fwPwe1UwJlR0cr0EwL+f+mPd0oJ+fn4MHz6cZcuWARAfH49WqyUlJQWAsWPHcvjwYbKysvD29mbcuHH8+OOPAHTp0oXAwEB27doFwMiRIzl58iQXLlxgbWo+2w3tGOb2OyrMZBj9yDdp6aHJBuCgIZJwdQltXIoxmtVsNXRgiCaN0XEhtGvXjtjYWLbU3MG89dZbycnJ4fTp06hUKmbPns2KFSsoLy8nOjqaLl26sHHjRgAGDBhAQUEBJ0+eBGDmzJmsXbuW0tJSIiIi6NGjB+vWrQNg058S0el0dV1fV18jQkI6899+/Rq8RixcuLBZ14j9+/c3fI0YNYqlS5cCNHiNOHbsGJmZmfxnwDXXiJAQPJ+r/lzuLbfwvzfubvQakZKScsNrxE8//WTVNSIuLq7u3G3sGjGhpLjBa8SxY8csukYcPHiw0WvE8uXLARq8Rtz71mKC1Dp0ZjdSDNEMcUsD4JwxgDKzG11dLwKw1xBNW5dCQtWlVJpd+e6ff232NWLatGksWbKEqqoq2rdvT0xMDFu3bgVg8ODBZGZmkpaWhlqtZtasWSxbtozKykpiYmJ4eHU2fTQZABytCsdPVUGMS/V5v0XfgcV7P8RDZSDP5MUZYyCJmurerRf+cDulpaUcP1694siNrhEGg4EjR44A1YP+k5KSKCgoICgoiEGDBrFy5UoAevbsiVqt5sCBA9UxvTDBqmvEqlWrmn2N8PT0ZPLkySxatAiz2UzHjh0JDw9n+/btAAwdOpRz585x9uxZiourjzc5+f777/n0008ZP348r7zyCnPmzKFDhw50796dPXv28Nhjj1m8TZW5mVVNaxs78+bNY+7cuY3O4HBzc8zCzReLK+j3+iZ+emgAvdsG1D0/f+0J9pwtYOUjA6/7TMcX1vL2jB5M6hlZ99y3u8/x/qbT7PvHyAb3U1lZWW8MYWZmJnFxcVy4cIGoqJZdu3DhwoViSRgbSZ3D2GfXWPW5cwusK0J94eFHKN28mYC77yb8heeb9ZmmYhzudrrRZZ2sjdESLZ0/e5P6+LuW2Wgk/b770aWk4BEXR9tFC1E76JptKznkTu7Hn5zPXTnKyMggOjpakr/njfHy8uLEiRPExMTQpk0b1qxZQ0JCAmfOnKFXr14NDn27kWbfsXPkDI7mCNC64aJWXXe37VJpJSHeDU/TD/F2J69Uf8379dfd9buau7s77u5XXpdjC18QGhNwxx2Ubt5M0fLlhD7xN9RihRjhKvmffoYuJQWVVkvEO2/LtlEnCM4iKiqK7OxsYmJi6NChAxs2bCAhIYG9e/fWa4tYwuIxdrUzOPR6PRkZGaSnp9d7OIqbq5r4SD92/Z5X95zJZGbX7/kktPVv8DO92gbUez/AjtOXSLjqjp+cde4sr4KhSuRsOfQa0B9N2xhMpaUU1XT/2SLd6G97UE5MTsef7uBBLn3wAQDh//gH7u3aSRxR0+SUOyUS564yTJkyhU2bNgHw6KOP8uKLL9KxY0fuuece7r//fqu2afHCgKdPn+b++++v6+uuVTupwpEFih8Y1I65Sw7TLcqfntF+fL7jHDp9FTN6V9c7enLxIcL8PHhmTBcA7h8Yy6z/7eHTpDMM7RLKqsNZHM0sYv7U7g6L0Z6Cg0VBYls5Ww5VajUBs+eQ+8YbFP6wEP8ZMxqc7NRcRWax0okt5HL8GUtKyPr7U2A04jt+PH5TJksd0g3JJXdKJc5dZViwYEHdv2fNmkVMTAy7d++mY8eOTJw40aptWtyw+8Mf/oCrqyurV6+mTZs2Nv3RsNTEHhEUlOl5b+MpLpVUcnOEL1/fn0iIT/XtyszL5fXi6d02kPdn9+KdDb/x1i+/ERus5ZO7+9A53KfFYrbFzp07iYmJkToMRXPGHPpPmcylf/+bypMnKT94CG1CL6u31c01h016ZZwvciSH489sNpPz8ssYMjPRREUR/srLLXrdtpYccqdk4ty1nW7vXvI//4KK48epunSJqP/7AJ8RI+pez3r2OYpqJjvV8ho0iJjPPrV6n/3796d///5Wfx6saNgdOnSI/fv306VLF5t2bK17B8Ry74DYBl9b/OD1yRjfvQ3ju7dxcFSCIB8u/v74jh9P0bJlFC5caFPDTlC+omXLKV67DlxdiXznbVx8xB97QWgOU3k57l064zdtKpmPNjw71evWW4l4/bW6n1XNGLf6888/NzuG22+/vdnvrWVxwy4uLo68vLwbv1Gw2YirvhkI1nHWHAbccQdFy5ZRsn49Vc8+g2tQkFXb2WeQx8wxpZL6+Ks8c5acf/0LgJBHH8WzRw9J47GE1LlTOnHu2s578GC8Bw8GoLFyzyo3N1xDQizabu06sTdi7fA2iydPvPHGGzz99NNs3bqV/Pz8esV8xQxS+6qt/yRYz1lz6BnfFY/u3TEbDFxe+pPV24l2sXyqvXCFlMefSa8nc+5czOXlaG+5haAH/ihZLNZw1nPXXsS52zJ0KSmcGjCQtDFjyX7lFaoKG18AoZbJZGrWw9o5CxY37EaMGMGePXsYPnw4oaGhBAQEEBAQgL+/PwEByphtqhSOnGXsLJw5h7XrxxYuXoTZygtEmFre6yrLnZTH36V33qXyxAlc/P2JeOMNVC7KWsXGmc9dexDnbuNKSkrq3ZC6unatJbxuHUTEGwuI+fJLQv8+F93efVz484NWX2/txeKu2C12XIdSaJq1NWyEK5w5h75jx5C7YAFVWdmUbkvCZ9hQi7dhMCurMSA3Uh1/pdu2UfD11wC0ef11NGGhksRhCzmcu0ou5CvO3cbFxcXV+/nll1+2avkuv/FXjg+Pzp1w79yZtJGj0KWk4NXMCRCvvvpqk6+/9NJLFsdlccPutttus3gngnWmTp0qdQiK58w5VHt44Dd9GgWff0HhwoVWNeySDO0dEJnzkOL4M+TmkvVc9aojAXfdZdX/uxw487lrD+LcbVxqaiqRkVdWpLLXlwi36GhcAgLQn09vdsOudkm7WgaDgbNnz+Lq6kqHDh2sathZ3BULcPnyZd555x0eeOABHnjgAd577z2rlr0Qmla7tqNgPWfPYcCsWaBSUbZ9O/rz5y3+/DC33x0QlfNo6ePPbDKR/eyzGAsKcO/cmdCn/t6i+7cnZz93bSXO3cb5+Pjg6+tb97BXw86Qk4Px8mVcQ5s/meLgwYP1HseOHSM7O5vhw4fzxBNPWBWHxQ27ffv20aFDB9577z0KCgooKCjg3XffpUOHDnUL/wr2YTKZpA5B8Zw9h24xMXjdOgiAwkWW/6FU0aylpIVGtPTxV/Dll5Tt2o3Kw4PId99BLYPuTGs5+7lrK3Hu2s5UVkbFiRNUnDgBgD4jg4oTJzBkZWEqK+Pim29RfugQ+oxMynbvJuPhR6qvuYMG2bRfX19f5s2bx4svvmjV5y3uin3iiSe4/fbb+fTTT3F1rf54VVUVDzzwAH/7299ISkqyKhDheh06dJA6BMUTOayeRFGWtJ3Ly5YR8vhjqC1Y5znT6OfAyFq/ljz+yo8eJfe9fwMQ9vxzuCv82Bfnrm3EuWu78mPHSb/33rqfcxe8AYDf5MmEv/Iylb/9xoUVKzCWlKAJCcFr4MDqa6wd1mAuKiqyuifU4obdvn376jXqAFxdXXn66afp06ePVUEIDbt6DIBgHZHD6lpMmshIDJmZFK9dh//UKc3+bJ7Jy4GRtX4tdfwZS0vJnPt3qKrCZ/Ro/GfMaJH9OpI4d20jzl3befVL5OaTJxp9Pebzz2zex3/+8596P5vNZrKzs/n2228ZO3asVdu0uCvW19e3wWnoFy5cwEdUNLcrcffTdiKHoHJxwX/2LAAKf/jBos/20GQ5IiSn0VLHX86rr2JIT8c1og1tXp2niCXDbkScu7YR564yvPfee/Ue//nPf9i6dSv33nsv//vf/6zapsV37GbNmsUf//hH3n77bQYMGABUr+n31FNPMaembpYgCPLiP20aef/5gIpjxyg/ehTPbt2kDkmwk6KVKyn+eRWo1US+/TYufqILThCU4uzZs3bfpsUNu7fffhuVSsU999xDVVUVABqNhoceeogFCxbYPUBnNmTIEKlDUDyRw2qugYH4jB1D8c+rKPxhIZ7zm9ewO2SIcHBkrZujjz/9+fPkzKuugxX8yMNoExIcur+WJM5d24hz13lZ3BXr5ubG+++/T2FhIYcOHeLQoUMUFBTw3nvvyaKgZGsiKq/bTuTwisA77gCgeO3aZi17AxCqLnVkSK2eI48/s15P5ty/Y9Lp0PbpQ/Bf/uKwfUlBnLu2EeeuMlRUVPDWW28xbtw4+vTpQ0JCQr2HNSy+Y1dLq9XSTXTnONSZM2fo16+f1GEomsjhFR49euAedzOVqScoWracoD/ef8PPRLgUc8IY1gLRtU6OPP4u/ec/VBw7htrPj4i33lTckmE3Is5d24hzVxn++Mc/smHDBqZPn05iYqJdxsc2u2F3//03/iMA8MUXX1gdjFDf1TOPBeuIHF6hUqkImDOHnBdfonDRIgLv+wMqddM37Y3W1TAXajjq+CvdsZP8zz4HoM2//ommTRuH7EdK4ty1jTh3lWH16tWsXbuWgQMH2m2bzf6f/+qrr9iyZQuXL1+msLCw0YdgPzNaQckCqYkc1uc3fjxqHx8MFy5QtnPnDd+/VS9qidnCEcdfVX4+Wc8+C4D/7Fn4jhxp933IgTh3bSPOXWWIjIy0e0WRZjfsHnroIYqKijh79ixDhw7l888/Z/ny5dc9BPv56aefpA5B8UQO61NrtXV17Ap/WHjD9w/WnHF0SK2avY8/s8lE1nPPYczLw73jTYTVNPBaI3Hu2kacu8rwzjvv8Mwzz3DeiiUfG9Psht2HH35IdnY2Tz/9NKtWrSI6OpqZM2fyyy+/YDaLpUscQa/XSx2C4okcXs9/1mwASrduRZ+R2eR7NSpjS4TUatn7+Cv89lvKkrajcncn4p13LFpFRGnEuWsbce4qQ58+faioqKB9+/b4+PgQGBhY72ENiwYxuLu7M2fOHObMmcP58+f56quvePjhh6mqquL48eN4e3tbFYTQsLZt20odguKJHF7PvX07vAb0p2zXbi4vXgx0bvS9OSZRdNwW9jz+yo8f5+Lb7wAQ+szTeHTqZLdty5E4d20jzl1lmDNnDpmZmbz++uuEhYW17OSJa6nValQqFWazGaNRfDNwBLFWou1EDhvmP2dOdcNu6VI0g57B4NLwpSDL6NvCkbUu9jr+TGVlZM39OxgMeA8fToATFIMX565txLmrDLt27WL37t306NHDbtu0aNpMZWUlCxcuZOTIkXTq1ImjR4/yf//3f6Snp4u7dQ6wefNmqUNQPJHDhvkMHYpreDjGwkIGZR1p9H0Jmqa7aoWm2ev4y3ntdfTnzuEaFkabf/2zVSwZdiPi3LWNOHeVoUuXLpSXl9t1m81u2D388MO0adOGBQsWMGHCBC5cuMCSJUsYN24c6huUTBAEQV5Urq4EzJoJwISzN54dK0inaM0aipYtA5WKiLfexDUgQOqQBEGwkwULFjB37ly2bt1Kfn4+xcXF9R7WaHZX7H//+19iYmJo374927ZtY9u2bQ2+b9myZVYFIlxv0KBBUoegeCKHjfOfPp1LH35EXMF5OlzOJM0/8rr3HK1qffXRWpKtx58+I4Ocl18BIOgvD+KVmGiHqJRBnLu2EeeuMowZMwaA4cOH13vebDajUqmsGurW7IbdPffc4xS3/+UkNzeX6OhoqcNQNJHDxrmGhOA7aiTFa9cx/uwu/tPr+rph/qpychHDLKxly/FnNhjImvt3TKWlePbsScgjj9g5OnkT565txLmrDFu2bLH7NpvdsPvqq6/svnOhaadOnaJ3795Sh6FoIodNC5gzh+K16xiacYDPu06gzM2z3uvRLpc5ZQyRKDrls+X4u/R/H1J++DBqHx8i3n4blZOtxCDOXduIc1cZbrvtNrtv07muFIIg1OPZpw9nfcNpV5zDiAv7WNnhVqlDEoCyPcnkf/IJAG3++SpuUdd3kwuCoHxJSUlNvj548GCLtykadjI2xwlKGjiayGHTVCoVa9oN4K+HlzHh7C5Wth8EVw252KTvKGF0ymfN8VdVWEjW00+D2Yzf9Gn41ozBcTbi3LWNOHeVYciQIdc9d/WwN2vG2InprDK2cuVKqUNQPJHDG9sclYDO1Z2o0kv0zPu93muDNGcliqp1sPT4M5vNZD//AlW5ubi1a0f48887KDL5E+eubcS5qwyFhYX1Hrm5uaxfv56+ffuyYcMGq7Yp7tjJmE6nkzoExRM5vLFyjQebonsz8ewuxp/ZxaGQK9/03VVVEkamfJYef4Xf/0Dpli2oNBoi330HtVbroMjkT5y7thHnrjL4+fld99zIkSNxc3PjySefZP/+/RZvU9yxk7GoqCipQ1A8kcPmWd1uAAD9c44TXH657vlck5hVZwtLjr+K334j9803AQh96ik8br7ZUWEpgjh3bSPOXWULCwvjt99+s+qz4o6djMXFxUkdguKJHDZPum84R4La0z3/DGPP7eHbm6vHdZ03imK4tmju8WcqLyfzybmY9Xq8b7uNgLvvcnBk8ifOXduIc1cZjhypv/KP2WwmOzubBQsW0LNnT6u2Ke7YyZi1/evCFSKHzbe6ffVduzHnknE1VXfj9NVckDIkxWvu8Xdx/gL0aWm4hATTZv7romYo4ty1lTh3laFnz5706tWLnj171v173Lhx6PV6PvvsM6u2Ke7YCYIAwO428RS4+xBYWUL/7GNsj+wpdUhOofiXDVz+8UdQqYh8801cAwOlDkkQhBZy9mz9SS5qtZqQkBA8PDys3qZo2MlY//79pQ5B8UQOm69K7cq62Fu487eNTDizi+2RPTleFSZ1WIp2o+PPkJVF9osvAhD0wAN4ieO1jjh3bSPOXWVo27at3bcpumJlrKioSOoQFE/k0DLrY/thVKnpnn+GtsXZeKn0UoekaE0df+aqKjKfehpTcTEe3bsT8tijLRiZ/Ilz1zbi3JW3zZs3ExcXR3Fx8XWvFRUV0bVrV7Zv327VtkXDTsZSU1OlDkHxRA4tk+fpz+7wrgCMP7ubWJdCiSNStqaOv7yP/0v5/v2ovbyIfPstVBpNC0Ymf+LctY04d+Xt3//+N3/605/w9fW97jU/Pz8efPBB3n33Xau2rYiu2AsFOj7YfJpdaflcKqkkzNeDyb0i+evQm3BzbbxtOut/u0k+W1DvuTv6xfD6lG6ODlkQFGtN+wEMyj7K8Av7OdOzs9ThtEq6ffvI+/hjAMJfeQW3mBiJIxIEoSUdPnyYN954o9HXR40axdtvv23VthXRsEu7VIrJDK9P6UZskBe/XSzhuWVHKNdX8cL4pqfEz0mM5omRnep+9tS4ODpcu5kxY4bUISieyKHlDgXfxAXvEKJLL+F65jK0kzoi5Wro+DNevkzmU0+DyYTfpEn4TZwgQWTyJ85d22zVd5A6BKEJFy9eRNPEXXpXV1cuXbpk1bYV0RU7pHMob8/oweBOIcQEaRkZF8afbm3P+uM5N/ysh8aFUB+PuoePh3K6O9avXy91CIoncmgFlaquYPGMs9vAbJY4IOW69vgzm81kv/gSVdnZaNrGEFYzcUK4njh3bZMoyp3IWmRkJMeOHWv09SNHjtCmTRurtq2Ihl1DSiqq8Pd0u+H7Vh7KoterGxj13jbeWH+Scn3TC+pWVlZSXFxc9ygpKbFXyBaTct+thcihdTZF96HCRUNocQFdCtOlDkexrj3+Li/+kZKNG0GjIfKdd3Hx9pIoMvkT565ttGLyhKyNGzeOF198kYqKiuteKy8v5+WXX2bCBOvu5iuiK/Za5/LK+HrXOZ4f3/SSO5N6RhIZ4EmYrzsns0tYsO4kZy6V8r+7+zT6mfnz5zNv3rzrnl+xYgVBQUFMnTqVTZs2UVRURGhoKImJiaxevRqAhIQETCYThw4dqt7/pEns2LGD/Px8AgMDGTx4MCtWrACge/fuaDSaunXgxo8fz759+7h48SK+vr6MGjWKvLw8Fi5cSNeuXfH29iY5ORmA0aNHc+zYMTIzM/Hy8mLChAksXrwYgM6dOxMcHMzOnTsBGDFiBKdOnSI9PR13d3emTp3K4sWLMZlMdOjQgcjISJKSkgAYMmQI6enpnDlzBldXV2bMmMFPP/2EXq+nbdu2dOjQgc2bNwMwaNAgcnNzOXXqFABz5sxh5cqV6HQ6oqKiiIuLqysw2r9/f4qKiuoGQ8+YMYP169dTUlJCeHg4CQkJrF27FoC+fftSUVHB0aNHAZgyZQpbt26lsLCQ4OBg+vfvz6pVqwDo1asXAAcPHgRg4sSJ7N69m7y8PAICAhgyZEhdDrt164aHhwd79+4Fqk+qAwcOkJOTg4+PD2PGjGHJkiVAdcV7Pz8/du/eDVSPdUhNTSUjIwOtVsukSZNYuHAhAJ06dSI0NJQdO3YAMGzYMNLS0jh//jxubm6AB0Pc0nDBRJbRl1yTNz01WQAcNkQQrC4j0qUIMyo2629isOYMGpWRnTt30qlTJ3799VcABg4cSF5eXt0SM7NmzWL16tWUlZURGRlJfHw8v/zyCwD9+vWjtLSU48ePAzB9+nQ2bNhAcXExYWFh9OnThzVr1gDQu3dvYtUFdHDNB2C7vh09NNn4ulVwIuomep0/wX0XNrIh/DZ+rwrGhIpOrtXdAyUlJaSkpJCbm4ufnx/Dhw9n2bJlAMTHx6PVaklJSQFg7NixHD58mKysLLy9vRk3bhw//vgjAF26dCEwMJBdu3YB1esknjx5kgsXLnCrJp/thnYMc/sdFWYyjH7km7T00GRX/98bIglXl9DGpRijWc1WQweGaNJYuHAh7dq1IzY2li1btgBw6623kpOTw+nTp1GpVMyePZsVK1ZQXl5OdHQ0Xbp0YePGjQAMGDCAgoICTp48CcDMmTNZu3YtpaWlRERE0KNHD9atWwdAYmIiOp2u7tv31deI8vJySkpKWL16NR65uXT5/AsAMocM4dDRI0xq386ma8TSpUsBWuU1oqSkhIULFzr8GrF8+XIAya4R06ZNY8mSJVRVVdG+fXtiYmLYunUrAIMHDyYzM5O0tDTUajWzZs1i2bJlVFZWEhMTg5+qnD6aDACOVoXjp6ogxuUyAPkmTwZqzuGhMpBn8uKMMbDuLt6ZM2csukYYDIa6FRImT55MUlISBQUFBAUFMWjQIFauXAlUF9tVq9UcOHAAgAkTJjj8GuHp6cnkyZNZtGgRZrOZjh07Eh4eXjejdOjQoZw7d46zZ882OANVKv/4xz9YtmwZnTp14q9//SudO1ePZz558iQffvghRqORF154waptq8xm6fpZFqw7yX+3pTX5nl+fvI2bQq+seZdTVMGsT3ZzS7sg3pje3aL97fo9jzs+S2bbU0NoG9TwN+XKykoqKyvrfs7MzCQuLo4LFy60+NqFRUVFDS4QLDSf1DmMfXaNVZ87t2C8nSNpXGMxds07w9s7PqLcxY07x7xEuaZ+wcyWiFEJ+WtK7fFnqqjg3MxZVJ46hdfAgUR/+gkqtWI7TFqE1OeuEjR1fnipKikzuzf4mlzOj5aWkZFBdHS0JH/PG3L+/HkeeughfvnlF2qbYiqVitGjR/Phhx/Srp11A5wlvWP3p1vbMb1308mNCdTW/fticQVzPt1D75gA5k+1fGZrzxh/AM7l6xpt2Lm7u+PufuVkkLKFv3btWubMmSPZ/lsDkUPrHQ9qR4GPH4ElRQzOPMwvsf2kDklxao+/3DffovLUKVyCgohYMF806ppBnLu2uUWTziZ9R6nDEJrQtm1b1q5dS2FhIb///nvdHceAANvW+ZW0YRfk7U6Qd8PfKK6VU1TdqIuP9OOtGT1Qqy1fSzE1q7qRFurTvH0KglNTqTjargu3HUlmzPlk0bCzUsmmTRT+8AMAEQvm4xoSInFEgiDISUBAAH379rXb9hTxtTGnqILZn+wmwt+DF8bdTH5ZJbklFeSWVNR7z7B3tnLowmUAzueX8Z9NpzmaUcSFAh0bUy/y5I+HSWwXyM1tri8IKEf2/I92ViKHtlkZNYAqlZouhem0Lc6WOhzF6dOuPdnPV4+TCbzvPrxvvVXiiJRDnLu2OVkVKnUIgkQUMXli++lLnMvXcS5fxy3zN9V7rXasgMFo4sylsrpZrxoXNTt+z+OLnWfR6Y1E+HkwNj6cvw67qcXjt1ZDs2UEy4gc2qbC05M94V0ZlH2U0edT+KTbJKlDUgyz0YjhrbdQFRXhERdH6BN/kzokRRHnrm3cVE1XgBBaL0U07Gb0iWZGn+gm3xMdqK03IDTC35MfH1T2ItJHjx4lPj5e6jAUTeTQNu1d8tnQNrF6JYr0/XwZNx6DiyIuG5LL//RTVMePo9JqiXjnbVRuNy7PJFwhzl3btHfJ56wxUOowBAkooitWEATp7A/rTJ6HH74GHf2zGy+oKVyhv3CBSx/8HwDhL76Iu5Wz2wRBECwlGnYyNmXKFKlDUDyRQ9sk6dthUqnZ0LZ6vNPo88kSR6QMBd9+C0YjHv364TdZdF9bQ5y7tknSiy8Tzko07GSstkilYD2RQ9v0qimm/EtMIiZUJFw6TVhZvsRRyZuxpISipT8BcL5nT1Qqy2fwC+LctVXtuSs4H9Gwk7HCwkKpQ1A8kUPb+Kiqi3XnegVyKKS6Jtao83ulDEn2Lv9/e3ce1tSZ9w38m0ASthA2AQUErKJQUUDFcUPcLW6oKNVR+9R2nlrfdzq2c3WZdmqnT/tWp/PMzGM7fbvO21rbUuuGintdalUUFESQqhU3hMpO2EOW+/0DSUVlO3fCOSG/z3VxXZqcJD+/3ufwy1nus3UbTA0NUD7yCH7xoysThaJ1l0/rukvsDzV2Eubj4yN2CTaPMuSjNTmb/7w/JBYAMP1WJuTMJFZJksYMBlRt2gQA8FqxAj40Z51gtO7yuXfdJfaFLm+TsDFjbPuqXimgDPnkGfzMfz7tPxRapQt8mrQYUXIZwBzxCpOo2sNHoC8uhoOHBzTz5mKMwSB2STaL1l0+9667xL7QHjsJa72RNRGOMuQzTnnD/Ge9gyOOBI0AQBdRtKdy40YAgMfjyZA7OdH440DZ8bl33SX2hRo7QkiXHQhuORw7+k4+DGVlIlcjLY25uWjMygIUCnguXSp2OYQQO0WNnYRFR0eLXYLNowz5/Gxoe57TTfe++MkzGI7MBO3OnSJVJU2VX7TsrdMkPAaFb8tFEzT+hKPs+Ny/7hL7QY0dIaRb9t/da1e9dRsYYyJXIw36O3dQc+AAAMDriSdEroYQYs+osZOw7OxssUuweZQhn0GO5Q88djwwCg2OKjTfuIHGc+dEqEp6qr7+GjAY4DJqFJwiIsyP0/gTjrLj87B1l9gHauwIId3S5KjC8YDhAIDqLVtFrkZ8poYGVH23BQDg9R+0t44QIi5q7CRszhyaToIXZcjnZHPIQx8/EDwaAFBz4ACMNTU9WJH0VKemwqTVQtG/P9zi49s8R+NPOMqOT3vrLun9qLGTsPT0dLFLsHmUIZ+hjiUPffySZ3+oBg0Ea2pCzZ49PVyVdDCTCVUbvwQAeC1bBpmDQ5vnafwJR9nxaW/dJb0fNXYSVl5O50jwogz5aOSND39CJoNHUhIA+z4cW3f8OJpv3oTczQ2aBQseeJ7Gn3CUHZ92113S61FjJ2Genp5il2DzKEM+tUzV7nPuc+dCplCgKT8fTfn5PViVdJgnJF60CA5urg88T+NPOMqOT0frLundqLGTsPj7ztch3UcZ8snW92v3OUdPT7hNnQKgZeoTe9N0+TIa0k8Dcjm8lv32ocvQ+BOOsuPT0bpLejdq7CRsx44dYpdg8yhDPnHK6x0+33o4Vrt7N0xNTT1RkmRU3j23Tj19OhQBAQ9dhsafcJQdn87WXdJ7UWNHCBHMdcwYKPr1g6m2FrUHD4pdTo8xlJej5u69TL2eWCFyNYQQ8itq7CQsMjJS7BJsHmXI55rRu8PnZXI5NEkLAdjXRRRVKd+C6fVwGj4MLh3c+orGn3CUHZ/O1l3Se1FjJ2FOTk5il2DzKEM+zcyh02U85s8H5HI0ZGai+cYN6xclMpNOh6qUFACAdye3D6PxJxxlx6cr6y7pnaixk7DMzEyxS7B5lCGfIY6lnS6j6NsXrhPGAwCqt223dkmiq0lLg7GyEo59+0I9fXqHy9L4E46y49OVdZf0TtTYEUK4eSy8ezg2dQeYXi9yNdbDGDNfNOG17LeQOTqKXBEhhLRFjZ2EJSQkiF2CzaMM+ZzW9+/Scur4eDh4e8NYVo6648etXJV4Gk6fhu7KFcicnc1XBHeExp9wlB2frq67pPehxk7CsrKyxC7B5lGGfAY5dG32f5lSCU3iPAC9+yKKyi/uTkg8fz4cNJpOl6fxJxxlx6er6y7pfaixk7A7d+6IXYLNowz5eMsburysx8KWPVh1x49DX9L77lOpu3YddT/8AMhk8FqxvEuvofEnHGXHpzvrLuldqLGTMLVaLXYJNo8y5NPAlF1eVjUgFM4jRwAmE7S9cHLZyk0t59a5xcdDGRLSpdfQ+BOOsuPTnXWX9C505q+EzZw5U+wSbB5lyCdDH9St5T2SktB49hyqt22H93/+J2Ty3vHd0VhdDW3qTgCAVydTnNyLxp9wlF3nbqyf1e5zBoMBjnRxj13qHVvdXmrLli1il2DzKEM+8cqCbi3vPmMG5G5u0BcWoiEjw0pV9byq77aANTZCNWQIXEbHdvl1NP6Eo+z4UH72i9p5QojFyJ2d4T57Fqq/3YzqLVvh+pvfcL1fR3skegrT61H19dcAWvbWyWQykSsihJD20R47CYuIiBC7BJtHGfK5YfTs9ms8khYBAGoPHoShqsrSJfW4mv0HYCgpgYOPD9xndW8KDhp/wlF2fCg/+0WNnYRpujCdAukYZcinXsAJ2E6PRkAVHg6m16Nmd5oVquo5LRMSt0xx4rl0CeTK7uVB4084yo4P5We/6FCshKWnpyOki1ffkYejDDvX0eHOlJQULFnSvcOhMpkMHkkLUfLW26jeuhWey5fZ7OHLxuxsNOXlQaZUwjM5uduvp/EnHGXHh/KzX7THjhBicZrZsyFTqaC7cgVNeXlilyNY64TE7nPnwNHbW+RqCCE9qSEzE4WrnsXPE+Lw05Bw1H7/fZvnGWMoe+89XJkwAZeGR+Hmk0+i+cYNcYq9BzV2Eja9kxuMk85RhnyE5ueg0UB997W2eieK5tu3zRtyrxUrBL0HjT/hKDs+lB8/U2MjVEMGw2/t6w99vuKzz1C56Sv0/ctfEPLdZsidXXDr6d/BpNP1cKVtUWMnYfn5+WKXYPMoQz48+bXeS7UmLQ2m+npLldRjqjZ9BZhMcB07Fk5hYYLeg8afcJQdH8qPn1tcHHzXrIH7tGkPPMcYQ+WXX8Jn1Sqop0yB0+DB6PfX9TCUlj6wZ6+n2cw5duPWH0FRdWObx16aORir4we2+5omvRH/Z89P2H2hGM0GE+IG9cFbiUPRR62ydrkWcfv2bbFLsHmUIR+e/FxiR0ER3B/6m7dQs/8APBYusGBl1mWsq0P11pY9jV7/0fUJie9H4084yo4P5Wdd+tu3YSwrh+vYMebHHNRqOA8bhsbzOdDMEm+qJptp7ADghWlheDz215nw3VQdl/9WWj6OXirF/10aA7WTAmt35WHVV+ew7dmx1i7VIlxcXMQuweZRhnx48pPJZPBYmISyf/wD1Vu32lRjp922Dab6eigHDIDr+PGC34fGn3CUHR/Kr321tbWoqakx/12lUkGl6t4OH0NZOQDA4b5zbx18fGAoL+MvkoNNHYp1VTnCV+1k/nFRtt/Y1TTp8d3ZQvx5dgTGDvRBZKAGf0sajnM3q5B1yzbm1po3b57YJdg8ypAPb36axHmAgwMas7OhK+jeXSzEwoxGVG76CkDLuXU8t0Wj8SccZceH8mtfREQENBqN+WfdunVil2RRNtXYfXisAFH/dRAJG37Exz8UwGA0tbts3m0t9EaGcQN9zI8N9HVDgIczsm7aRmOXkpIidgk2jzLkw5ufwtcXbvHxAIDqrdssUJH11R4+DP3t23DQaKCZN5frvWj8CUfZ8aH82pefnw+tVmv++dOf/tTt93Ds09JbGCsq2jxuLC+Ho08fi9QplM0cin1yXAge7aeBh4sC525W4d39l1Baq8Prsx8+u3ZZnQ5KBzk0zoo2j/u4KVFW1/4VKzqdDrp7rmipra21zD+AEDvlsXAh6g4fhjY1Fb7Pr4Gsm5P89rTKjV8CADwefxxyZ2eRqyGEWJparYa7uzvXeygCA+HQxwf16afhFB4OoOXc3MYLF+Cx5HFLlCmYqI3d+n2X8NEPHR+e+f6FiRjo64anJwwwPxbe1x1KBzle3ZGLl2YOhsrRwWI1rVu3Dm+++eYDj6empsLb2xsLFizA4cOHodVq4evri9jYWKSltcyuHxMTA5PJhPPnzwNo2RV+4sQJVFRUwMvLC3FxcUhNTQUADBs2DAqFAufOnQMAzJo1C2fPnkVJSQnc3d0xffp0aLVapKSk4NFHH4WbmxvOnDkDAJgxYwby8vJQVFQEV1dXzJ49G5s3bwYADB48GD4+Pjh58iQAYOrUqbhy5Qpu3boFlUqFBQsWYPPmzTCZTHjkkUcQEBCA48ePAwDi4+Nx69YtXLt2DY6Ojli0aBG2bduG5uZmBAcH45FHHsGRI0cAAOPHj0dpaSmuXLkCAFiyZAl27tyJhoYGBAYGIiIiAgcPHgQAjBkzBlqt1nyV1qJFi7B//37U1tbC398fMTEx2Lt3LwBg1KhRaGpqQm5uLgBg/vz5OHbsGKqqquDj44MxY8Zg9+7dAIDo6GgAQHZ2NgBgzpw5SE9PR3l5OTw9PREfH2/OMDIyEk5OTsjMzAQAJCQkICsrC3fu3IFarcbMmTPNN81u3U2fnp4OoGXagPz8fNy+fRsuLi6YN2+e+dtwWFgYfH19ceLECQDA5MmTUVBQgJs3b0KpVAJwQryyAA4wodjojlKTG6IUxQCAHH0/+MjrEeCgBYMMR5oHIk5xDQqZESdPnkRYWBi+v3t11bhx41BeXo7Lly8DAJKTk5GWlob6+noEBARg6NChOHDgAABg9OjRqKurw8WLFwEASUlJOHjwIGpqauDn54eRI0diz549AIARI0ZAr9fjwoULAIDExEQcP34clZWV8Pb2RkhIiPnfGhUVBblcjqysLADA7NmzkZGRgdLSUmg0GkyZMgXbt28HAAwdOhQuLi7IyMgATCbE+PjAWF6OfW+9BWNsLBISEvDdd98BAIYMGQIvLy+cOnUKADBt2jRcunQJhYWFcHZ2RmJiIr799lswxjBo0CD4+/vjxx9/BABMmjQJN27cwPXr16FQKJCUlIStW7dCr9cjNDQUISEhOHr0KABgwoQJuHPnDn7++WfIZDI8/vjjSE1NRWNjI4KCgjBkyBCc2LgRg8+dAxwcUDRsGA7f/bcvXrwYe/fuRV1dHfr164fhw4dj3759AIDY2Fg0NDQg7+58ffduI0wmE2pra622jdh69wKP3riN0Ol0SElJsfo2YseOHQAg2jZi4cKF2LJlCwwGAwYMGID+/fvj2LFjAIC4uDgUFRWhoKAAcrkcycnJ2L59O3Q6Hfr379/hNmLQoEHYtWuX1bcR48ePx86dO/m2EQAee+wx5OTkoLi4GG5ublbZRtx7Xl1XmOrr0Xzrlvnvzbdvo+mnn+Cg0UDRrx+8VqxA+UcfQRkSDEVAIMreew+Ovr5QT53arc+xNBljjIn14RV1OlQ16Dtcpr+XC5SODx4xvlJSi+n/PI7Df5yIR/q4PfD8qavlWPrZGeS8Mb3NXrtx64/gyXEhbRrFe92/x66oqAgREREoLCxEYGBgV/9pFlFYWIigoKDOFyTtEjvDkFf2CHpdR3eD6EmWyq/0n/+Dio8/huv48ej/2acWqMw6il58CTW7d8N9zhwE/O1d7vcTe/zZMsqOD+X3oNu3byMoKKjLv8/rz2Tg1hMPXhWvSUxEv/XrwBhD+fvvo+q7LTDV1MB5RAz8166FKjTUGuV3majn2Hm7qTDQ163Dn4c1dQCQX1wDuQzwcX34lSxDAzVQOMhw6mq5+bGCsjoUVTciJrj9G5urVCq4u7ubf9RqNd8/kkPrNzwiHGXIx1L5tV4RW3/yJPRFRRZ5T0vTl5Sg5u5eOK+HbMyFoPEnHGXHh/Lj5zo6FuGXfnrgp9/6lostZDIZ+jz3HMJO/IghF3IQ/Pnnojd1gI1cPHHuZhX+feI68otrcKuiAanZRXgrLR+J0QHQuLTsjbujbcLkvx/D+cJqAIC7kwKLRwbh7T0/4VRBOXJva/HilhzE9PdATP/2GztCiOUp+/eHy29+AzCG6u07xC7noaq+/gYwGOA8cgSchz4qdjmEECKITVw8oXKUY3dOMf7n+ytoNpgQ5OWCleND8fSEXztjvdGEa2X1aGw2mh97fXYE5LKf8OxXWS0TFIf54K3EoWL8EwSZPHmy2CXYPMqQjyXz80hKQsPp06jesR0+q5+FzMFy58byMjU2ovruOWiW2lsH0PjjQdnxofzsl000dkMDNEj9X+M6XCbIy+WB85KcFA54K3GoTTVz9yooKICfn5/YZdg0ypCPJfNTT5sKuUYDQ/EvqD+VDrcJwif+tTTtzp0warVQBAVBbcFfiDT+hKPs+FB+9ssmDsXaq5s3b4pdgs2jDPlYMj+5SgXNnDkAYL5dlxQwk8k8xYnX8mUW3ZNI4084yo4P5We/qLGTMKXE5/uyBZQhH0vn57EoCQBQe+QIDPdN7CmW+h9/RPP165C7uUGzYKFF35vGn3CUHR/Kz35RYydhCxda9peMPaIM+Vg6P6fBg+EUGQno9dDu3GXR9xaqcuNGAC3nADq4uVr0vWn8CUfZ8aH87Bc1dhLWOhkmEY4y5GON/DySWvbaVW/dChGn0QQANF25gvpT6YBcDs9lyyz+/jT+hKPs+FB+9osaOwkzGAxil2DzKEM+1sjPfVYCZM7OaL52DY3Z5y3+/t1R+WXLuXXqadOgDAyw+PvT+BOOsuND+dkvauwkbMCAh98dg3QdZcjHGvk5uLnBfeZMAOJeRGGoqEDNrpZbT3k9scIqn0HjTzjKjg/lZ7+osZOw/v37i12CzaMM+Vgrv9aLKGr27YOxrs4qn9GZqm+/BWtuhlNkJJzv3lPU0mj8CUfZ8aH87Bc1dhLWeiNoIhxlyMda+TlHR0M5YABYYyNq9uy1ymd0xNTcjKqUbwG0TEgsk8ms8jk0/oSj7PhQfvaLGjtCSI+TyWRtLqLoaTVpe2AsL4ejvz/cZ0zv8c8nhBBrocZOwuLi4sQuweZRhnysmZ9m3lxAoUBTbi6aLl+22ufcjzFmnuLE87dLIVMorPZZNP6Eo+z4UH72ixo7CSsqKhK7BJtHGfKxZn6O3t5QT5oEAKjeus1qn3O/hjNnoLt8GTJnZ3guXmzVz6LxJxxlx4fys1/U2ElYQUGB2CXYPMqQj7Xza72IQrtrF0w6nVU/q1XlF3cnJJ6fCAeNxqqfReNPOMqOD+Vnv6ixkzC5nP57eFGGfKydn+vYsXDs2xcmrRa1h7636mcBQPONG6i7e1K55/LlVv88Gn/CUXZ8KD/7Rf/zEpacnCx2CTaPMuRj7fxkDg7wWLAAQM9cRFH55SYAgFt8PFShoVb/PBp/wlF2fCg/+0WNnYRt375d7BJsHmXIpyfy81gwH5DJ0HD6NJpv3bLa5xi1WlTv2AHAehMS34/Gn3CUHR/Kz35RYydhuh4656g3owz59ER+ioAAuI4bBwCo3ma9X0bVW7aANTZCNXgwXH7zG6t9zr1o/AlH2fGh/OwXNXYSRjOH86MM+fRUfh5JCwEA2h07wKxwj0um16Pyq68BAF4rVlhtQuL70fgTjrLjQ/nZL2rsJCwsLEzsEmweZcinp/JzmzwZDp6eMJSWou7HHy3+/jUHD8Jw5w4cvL3hPnuWxd+/PTT+hKPs+FB+9osaOwn7/nvrXyXY21GGfHoqP7lSCc28eQAsP6ddy4TEXwIAPJcsgVylsuj7d4TGn3CUHR/Kz35RY0cIkYTWw7F1x45BX1pqsfdtzD6PpgsXIFMq4bnkcYu9LyGESBE1dhI27u4J5UQ4ypBPT+anGjgQztHRgNEIbepOi71v6+3D3OfMhqO3t8Xetyto/AlH2fGh/OwXNXYSVl5eLnYJNo8y5NPT+XkktdyJonrbVjDGuN9PX1SE2kOHAABeK57gfr/uovEnHGXHh/KzX9TYSdjlHrwxem9FGfLp6fzcZ86A3MUF+pu30JCZyf1+lV99DZhMcB07Bk6De/5kchp/wlF2fCg/+0WNHSFEMuSurnCf1XLVKu+dKIx19ajesgUA4PVEz++tI4QQMVBjJ2F0Sxh+lCEfMfLzWNRyOLb2wEEYtVrB76Pdvh2mujooQ0PhOmGCpcrrFhp/wlF2fCg/+0WNnYSlpaWJXYLNowz5iJGfU2QkVGFhYDodtAI/nxmNqNzUcl9YrxXLIRPphug0/oSj7PhQfvaLGjsJq6+vF7sEm0cZ8hEjP5lM9utFFFuEXURRd/Qo9IWFkGs05vnxxEDjTzjKjg/lZ7+osZOwgIAAsUuweZQhH7Hy08ydA5lSCd2lS2i6mN/t11d+0TLFiefixZC7uFi6vC6j8SccZceH8rNf1NhJ2NChQ8UuweZRhnzEys/BwwPqqVMBtEx90h2NFy+i4exZwNERnst+a43yuozGn3CUHR/Kz35RYydhBw4cELsEm0cZ8hEzv9aLKGp2p8HU2Njl15knJJ45Ewo/P6vU1lU0/oSj7PhQfvaLGjtCiCS5jB4NRWAgTHV1qOniLyl9SSlq9u0HQFOcEELsEzV2EjZ69GixS7B5lCEfMfOTyeXm+8d2dU67qpRvAL0eziNGwDlS/ENRNP6Eo+z4UH72ixo7CaurqxO7BJtHGfIROz/N/PmAXI7Gs+egu3a9w2VNTU2o/nYzAMDriRU9UV6nxM7PllF2fCg/+0WNnYRdvHhR7BJsHmXIR+z8FH5+cIuLA9D5RRTanbtgrK6GIiAA6ilTeqK8Tomdny2j7PhQfvaLGjtCiKS1Ho7Vpu4E0+sfugxjDJVffgkA8Fy+DDIHhx6rjxBCpIQaOwlLujtJKxGOMuQjhfzcJk6Eg48PjBUVqD127KHL1J84geaCAshdXc2TG0uBFPKzVZQdH8rPftlEY5deUIGQV/Y89CensLrd1yV/nP7A8q/uyO25wjkdPHhQ7BJsHmXIRwr5yRQKeMxPBND+RRStExJ7JC2Eg5tbT5XWKSnkZ6soOz6Un/1yFLuArhgR7ImM19qeM/OPg1dwsqAcwwI1Hb52SWwQnp8WZv67s8J2DtHU1NSIXYLNowz5SCU/j4ULUfHpZ6j/8QT0v/wCRd++5ud0P/+M+pMnAbkcnsuXi1jlg6SSny2i7PhQfvbLJvbYKR3l8FU7mX88XZQ4lF+CRSOCIJPJOnytk8KhzWvVTooeqpqfn8iTq/YGlCEfqeSnDAmBy6hRgMmE6h072jzXem6desoUKAMDxSivXVLJzxZRdnwoP/tlE43d/b7PL0FVQzMWjex8I77zfDGi/+sgpv/zB/x1/yU0Nht7oELLGDlypNgl2DzKkI+U8mu9E4V223YwkwkAYKishHbnLgCA139Ib0JiKeVnayg7PpSf/bLJxm7z2ULEhfVBX41zh8vNiwrAP5OjkPKfv8Hq+IHYkVWENZuzO3yNTqdDTU2N+ae2ttaSpXfLnj17RPvs3oIy5COl/NTTp0OuVkNfVISG06cBANWbN4M1N8Np6FA4x8SIXOGDpJSfraHs+FB+9kvUc+zW77uEj34o6HCZ71+YiIG+v54M/Yu2EcevlOGDpZ1vxJeO7m/+8xB/d/iqVVj62RncrKhHsLfrQ1+zbt06vPnmmw88npqaCm9vbyxYsACHDx+GVquFr68vYmNjkZaWBgCIiYmByWTC+fPnAQDz5s3DiRMnUFFRAS8vL8TFxSE1NRUAMGzYMCgUCpw7dw4AMGvWLJw9exYlJSVwd3fH9OnTUVRUhJSUFDz66KNwc3PDmTNnAAAzZsxAXl4eioqK4OrqitmzZ2Pz5paJWQcPHgwfHx+cPHkSADB16lRcuXIFt27dgkqlwoIFC7B582aYTCY88sgjCAgIwPHjxwEA8fHxuHXrFq5duwZHR0csWrQI27ZtQ3NzM4KDg/HII4/gyJEjAIDx48ejtLQUV65cAQAsWbIEO3fuRENDAwIDAxEREWE+eXfMmDHQarXIz88HACxatAj79+9HbW0t/P39ERMTg7179wIARo0ahaamJuTmtlzkMn/+fBw7dgxVVVXw8fHBmDFjsHv3bgBAdHQ0ACA7u6VZnzNnDtLT01FeXg5PT0/Ex8ebM4yMjISTkxMyMzMBAAkJCcjKysKdO3egVqsxc+ZMbNmyBQAQEREBjUaD9PR0AMD06dORn5+P27dvw8XFBfPmzUNKSgoAICwsDL6+vjhx4gQAYPLkySgoKMDNmzehVCoBOCFeWQAHmFBsdEepyQ1RimIAQI6+H3zk9Qhw0IJBhiPNAxGnuAaFzIiTJ08iLCwM33//PQBg3LhxKC8vx+XLlwEAycnJSEtLQ319PQICAjB06FDzvSFHjx6Nuro68zxWSUlJOHjwIGpqauDn54eRI0eaN/ojRoyAXq/HhQsXAACJiYk4fvw4Kisr4e3tDaPRaP63RkVFQS6XIysrCwAwe/ZsZGRkoLS0FBqNBlOmTMH27dsBtNyA3MXFBRkZGQCAxx57DDk5OSguLoabmxsSEhLw3XffAQCGDBkCLy8vnDp1CgAwbdo0XLp0CYWFhXB2dkZiYiK+/fZbMMbw6OhYKL4/jJy//wO3CgoQtekrAMClsEE4t20bkpKSsHXrVuj1eoSGhiIkJARHjx4FAEyYMAF37tzBzz//DJlMhscffxypqalobGxEUFAQhgwZgkOHDgEAxo4di8rKSly6dAkAsHjxYuzduxd1dXXo168fhg8fjn379gEAYmNj0dDQgLy8PABos40oLy9HbW2t1bYRW+9eTNIbtxElJSVISUmx+jZix91D+2JtIxYuXIgtW7bAYDBgwIAB6N+/P47dvfo7Li4ORUVFKCgogFwuR3JyMrZv3w6dTof+/ft3uI1gjGHXrl1W30aMHz8eO3fuBCCNbcSgQYPg7++PH3/8EQAwadIk3LhxA9evX7eb8w5ljDEm1odX1OlQ1fDweala9fdygdLx1x2L7x3+GRtP3cDpV6dA4dC9HY4NzQZErD2AjStjMTGsz0OX0el00Ol05r8XFRUhIiIChYWFCOzh83euXLmCsLCwzhck7RI7w5BXhH1rvrF+loUrEUbs/O7XlJ+P6wsWQqZQoM8fX0Dp+r/C0dcXAw9/D5lCeufPSi0/W0LZ8aH8HnT79m0EBQWJ8vu8J4m6x87bTQVvN1WXl2eMYcu5QiyICeh2UwcA+cUt3bqvuv3PVKlUUKl+fV7MDl/fzmSspOsoQz5Sy88pIgJOERFoys9H6d/+GwDg+dvfSrKpA6SXny2h7PhQfvbLps6xO1VQgcLKRiSP6v/Ac3e0TZj892M4f3deu5sV9Xjv8M/Iva1FYWUDDuWX4IXvchAb6oXwvu49XLkwrbu+iXCUIR8p5td6EQWMRsicnOCZvFjcgjogxfxsBWXHh/KzXzYxj12rzZmFGBHs2eacu1Z6ownXyurNV70qHOQ4cbUc/+/kdTQ0G9FP44THhvrjf08e2NNlE0IsyH3WLJSs/yuYTgdN4jw4eHiIXRIhhEiGqOfY2QIxj8k3NjbC2bnjK39JxyhDPlLNr/yjj1CzZy8CP/wQysAAsctpl1TzswWUHR/K70H2co6dTR2KtTetV6IR4ShDPlLNz2fVKgzYvUvSTR0g3fxsAWXHh/KzX9TYSVhlZaXYJdg8ypAP5ceH8hOOsuND+dkvauwkzNvbW+wSbB5lyIfy40P5CUfZ8aH87BedY9cJMY/JNzQ0wMXFpUc/s7ehDPlQfnwoP+EoOz6U34PoHDsiutbZvIlwlCEfyo8P5SccZceH8rNf1NgRQgghhPQS1NhJWFRUlNgl2DzKkA/lx4fyE46y40P52S9q7CRMLqf/Hl6UIR/Kjw/lJxxlx4fys1/0Py9hWVlZYpdg8yhDPpQfH8pPOMqOD+Vnv6ixI4QQQgjpJWi6k06IeXl0bW0t1Gp1j35mb0MZ8qH8+FB+wlF2fCi/B9F0J0R0GRkZYpdg8yhDPpQfH8pPOMqOD+Vnv6ixk7DS0lKxS7B5lCEfyo8P5SccZceH8rNf1NhJmEajEbsEm0cZ8qH8+FB+wlF2fCg/+0Xn2HVCzGPyOp0OKpWqRz+zt6EM+VB+fCg/4Sg7PpTfg+gcOyK67du3i12CzaMM+VB+fCg/4Sg7PpSf/XIUuwCpM5lMAIBffvmlxz+7oqICt2/f7vHP7U0oQz6UHx/KTzjKjg/l96DW3+Otv9d7KzoU24nMzEzExsaKXQYhhBBCLCAjIwOjRo0SuwyrocauEwaDAdnZ2fDz8+vRW7TU1tYiIiIC+fn5NBeRQJQhH8qPD+UnHGXHh/J7OJPJhJKSEkRHR8PRsfcesKTGTqJqamqg0Wig1Wrh7u4udjk2iTLkQ/nxofyEo+z4UH72jS6eIIQQQgjpJaixI4QQQgjpJaixkyiVSoU33niD5iHiQBnyofz4UH7CUXZ8KD/7RufYEUIIIYT0ErTHjhBCCCGkl6DGjhBCCCGkl6DGjhBCCCGkl6DGjhBCCCGkl6DGrhfq7ffBI4QQQsjDUWPXy1y6dAkbNmwQuwxi5+hiez705YyIoaSkBMXFxWKXQTj13pul2aHc3FyMGjUKzc3NGDt2LEaPHi12STbnxo0bOHToEBobGzFo0CA89thjYpdkUyorK+Hl5QWZTAbGGGQymdgl2RStVguNRgO5XA6TydSj96e2ddevX0dqairKysowZswYzJkzR+ySbEp2djYSExPx+eefo1+/fmKXQzjQVqOXyMnJQWxsLJKTkzFx4kSkpaUBoG/+3ZGbm4vRo0cjJSUFO3bswOzZs7FixQpkZGSIXZpNyM/Ph5+fH9asWQMA5uaOdE1+fj6Cg4PxzjvvAIC5uSOdu3DhAuLi4pCWloYffvgB8+bNw65du8Quy2bk5ORgwoQJmD9/PiZPnix2OYQXIzYvKyuLqdVq9tprrzHGGHvxxRdZnz59WHV1NWOMMZPJJGZ5NqG8vJwNHz7cnCFjjO3du5fJ5XI2Z84cduTIERGrk76ioiIWGxvLYmJimKurK1uzZo35ORp/nSssLGTR0dEsLCyMeXl5sXXr1pmfMxqNIlYmfZcvX2aBgYHsT3/6E9PpdKyyspIlJCSwDz74QOzSbEJeXh5Tq9XslVdeYYwxZjAYWHZ2Njt58iTLy8sTuToiBO2xs3GlpaUYN24cnnnmGbz99tsAgN///vfw8vIyn2tHh8M6V11dDUdHRyxduhSMMTQ3NyMqKgrh4eHIzMzEv/71L1RVVYldpiQxxnD06FEEBwfj/fffx6effooPP/wQL7zwAgDac9cZk8mEbdu2ITQ0FB999BFeeuklrFu3DuvXrwdAe+460tzcjDfffBNTpkzBW2+9BaVSCU9PTzg7O+P06dN46qmnaN3tgE6nw/Lly+Hm5oY//OEPAICkpCSsXLkSc+bMwejRo/G3v/1N5CpJd9E5djZOoVBg//79iIuLMz/m5+eH6OhoHDx4EGvXrgUAOt+pE7W1tcjKysKdO3cQEREBpVKJhoYGBAUF4dVXX8WyZcswc+ZM/O53vxO7VMmRyWSIi4uDWq3G2LFjMXbsWDDGsHLlSjDG8M9//pPOueuAXC5HQkICfH19MWnSJERFRYExhnXr1gEAXnnlFTrnrh1KpRKvvvoqiouL4eDgAAB45513sGPHDixZsgROTk547rnncPnyZbz//vsiVys9KpUK//jHP7Bq1So8//zzuHLlCnx8fPDee+/ByckJ6enp+MMf/gC1Wo1Vq1aJXS7pKvF2FhJraD1sk5eXx1QqFfv3v/8tckW2Qa/Xs+XLl7OBAweyf/3rXywlJYV5enqy1atXM8YYW7NmDXv88ceZXq+nQ4tdYDAY2DfffMNUKhV7/vnnGWMtGX/11VcsNzdX5Oqk6d5xVVZWxtavX8/c3d3Nh2UNBgPbtWsXKysrE6tEybtw4QKbOnUq27t3rznPrVu3MkdHR3bp0iWRq5OWe8fb0aNHmb+/P5s4cSIrLi5us9wf//hHFhkZySoqKmjbZyNoj50NKi4uRlFRESoqKjB16lTI5fI23+gZYwgNDcXs2bOxb98+LF26FCqVivaW3OPeDKdNmwZHR0e8/PLL+OCDD/DGG2/A398fq1evNh/e1mq1qKqqgqMjrTIAoNfroVAo2n3ewcEBixYtAgA8+eSTAACj0YgPP/wQV69e7ZEapay9ddhgMMDR0RE+Pj5YuXIlgJY9UIwxVFRUYMOGDbh165bI1YurvewAIDIyEl9++SX69u1rXl4ulyMiIgI+Pj5ilSwp9+Y3ZcoUAEB8fDzS0tKQn5+PPn36tFneyckJLi4u8PT0pN8htkLszpJ0T05ODgsKCmIRERHM0dGRRUdHsw8//JDV1tYyxtqeaP31118zlUrFMjIyxCpXku7PMCoqin3yySesoaGBMcbY7du323xrNZlMbMWKFezll19mJpPJ7r+15uXlsblz57KLFy92uqzBYGCbNm1iMpmMeXp6sszMzB6oUNo6W4cNBoN52bKyMrZu3TrK767OsmPswYt1XnzxRZaQkMBqamp6ulzJeVh+H3zwAdNqtYwxxpqbmx94zapVq9jKlSuZTqez+22fraDGzoaUlZWx8PBw9vLLL7Pr16+z0tJStmTJEjZ69Gi2Zs0a84br3l8M0dHRbPny5cxoNNJKydrPcNSoUWzNmjXmK4lbFRQUsFdffZV5eHiw/Px8kaqWjuvXr7MBAwYwmUzGoqKi2OXLlztc3mg0sqeeeoq5u7tTfqzr6/C9X9CWL1/O3N3du9RI92Zdza5VcXEx+/Of/8w8PDzo8D8Tlt/rr7/OPD097X7s2Rpq7GxIbm4uCwkJYTk5OebHdDodW7t2LYuNjWWvvfYaa2xsbPOaDRs2sJ9//rmnS5Ws7mRYVlbGVq1axQYPHsyysrLEKlkympqa2F/+8hc2f/58lpmZyWJjY1l4eHiHzd3evXtZaGio3e9patWd8WcymdimTZuYn58fO3funFglS0Z3sjt79ixbtmwZCw0NZdnZ2SJVLC3dyS8jI4MtWrSIBQYGUn42iC6xsiFKpRIymcx8jo3BYIBSqcTrr7+OiRMnYs+ePcjMzDQ/BwDPPfccBg4cKFrNUtOdDH18fPDiiy/i8OHDiI6OFrNsSVAoFIiMjMTSpUsxcuRIHDhwAGq1GomJibhy5cpDXzN8+HCcOnUKI0eO7OFqpak7408mk2HcuHE4c+YMYmJixCxbErqTnb+/PxYvXozDhw8jKipKxKqlozv59e3bF4sXL8axY8coPxskY4wmmLIVOp0O48ePh7+/P1JTU+Hg4GA+2ZoxhuHDhyM6OhobN24Uu1TJogz5GI1G87QSAFBRUYGEhATU1tZi586dGDRoEAwGAzIyMhATEwMnJycRq5We7ow/RtPDtNGV7KKiovDll1+KXaokUX72g/bY2QiTyQSVSoXPP/8cx48fx7PPPgsA5pVSJpNh7ty5KC0tFblS6aIM+bU2da3fB729vbFnzx6o1WrMmzcPFy9exO9//3s8//zzqK+vF7NUyenu+KOm7lddza6srEzkSqWJ8rMv1NjZCLlcDqPRiKFDh2Ljxo1ISUnBihUrUFJSYl7m+vXr8PT0hNFoFLFS6aIM+bU2dK1NB2MMPj4+2Lt3Lzw8PDBs2DBs3LgRH3zwAby9vcUsVXJo/AlH2fGh/OwLHYqVqPsPw7TuMq+rq4NOp8P58+exdOlSBAcHw8vLC97e3ti5cyfS09MRGRkpYuXSQRnyuT+/1sOwNTU1MJlM8PDwaLP8ypUrsWvXLhw/fhwRERE9XK303H+nCBp/XUfZ8aH87BvtsZOY1m9Lrf02Y8y8Ut64cQNhYWHIzMzElClTcPHiRSQkJCAgIAC+vr7IyMiglRKUIa/28nNwcMCNGzcQHh6O9PR08/KMMbz//vv44osvcOjQIbtv6srLywH8upcEaMmUxl/nKDs+lB8BQBMUS8nly5fZmjVr2IIFC9ibb77Jrl27Zn7u1q1bzMfHhz311FPMZDKZ56prnZvu3nmv7BllyKcr+T399NNt5kQ0mUzs6NGjNK0Oa8lPrVaz3/3ud+bHWscZjb+OUXZ8KD/SivbYSURubi7Gjh2LqqoqmEwm7Nu3DykpKWCMQa/XY+fOnVi2bBk+/fRTyGSyNlcmAnSiNUAZ8upqfp988kmbrGQyGeLj42laHQD5+flwdnZGbm4unnnmGQAtF5w0Nzdj165dWL58OT7++GMafw9B2fGh/IiZyI0lYS13NwgODmavvfaa+bGnnnqKPffcc22Wu/eOEqQtypAP5WcZe/fuZWFhYWz9+vUsMjKSPfPMM+bnCgsLRaxM+ig7PpQfaUV3NBeZ0WjEoUOHMGXKFPzxj380n7Du7OyMvLw8TJw4EcHBwVi1ahXGjh1Lc1s9BGXIh/KznMjISIwYMQJPP/00lEolvvjiC7zwwgvQarWIjY3FypUroVAoxC5Tkig7PpQfMROzqyQtrl27xvLy8sx/f/PNN5mTkxN755132Nq1a1lycjIbMGBAm/OdSFuUIR/KzzLq6+vZsGHDWHZ2Nquvr2effPIJ8/b2ZjKZjF24cIExRns920PZ8aH8SCvaYycBoaGh5isQdTodzpw5g61bt2LWrFkAgBMnTmDhwoW4evUqQkNDxSxVsihDPpQfP71eD5VKBX9/f9TV1cHFxQWHDx+GXq/HwIED8dlnn2HDhg0PnN9EKDtelB+5FzV2IiguLkZWVhaam5sRHByMESNGQCaTwWg0QqVSYffu3ZDL5ea5iLy8vODn5wcvLy+xS5cMypAP5cfn3vxCQkIQExNjPsw1YsQIXL16FZ988gmOHz+O3bt3Izc3F+vXr4ejoyP+/ve/i1y9uCg7PpQf6Qw1dj0sNzcXiYmJ8PHxwbVr1xASEoKXX34ZSUlJ5m9TrecvtU4wuWnTJjg5OSE4OFi0uqWEMuRD+fHpKD8AUKlUWLlyJUJCQpCWloaYmBgMGzYMcrkcM2bMELl6cVF2fCg/0iUiHwq2K1evXmWBgYHspZdeYtXV1ezs2bPsiSeeYCtXrmQGg6HN3GCMMXbz5k324osvMk9PT5aTkyNS1dJCGfKh/Ph0lJ9er2eMMabX69nq1atZRkYGY4zmCmtF2fGh/EhXUWPXQ3Q6HXvhhRfY4sWLmU6nMz/+73//m3l7e7Py8vI2y2dmZrLVq1ez4cOHs/Pnz/d0uZJEGfKh/Ph0Nz/yK8qOD+VHuoMOxfYQk8mEwMBAhIeHQ6lUmqeMGDt2LNzc3KDX69ssP3LkSDQ2NuLPf/4z+vbtK1LV0kIZ8qH8+HQ3v9bX3HvPTntF2fGh/Eh3UGPXQ5ycnJCYmPjAFYUeHh5QKBRtVsxz585hxIgRmDBhQk+XKWmUIR/Kj0938svOzkZ0dDT9Yr2LsuND+ZHuoP95K/rll1+QkZGB/fv3w2QymVdKo9FoPjldq9WiqqrK/Jq1a9di2rRpqKioME8/Yc8oQz6UHx+h+U2ZMsXu86Ps+FB+RDBxjgD3fjk5OSw4OJiFhYUxjUbDhgwZwr755htWUVHBGPv1pNbLly+zPn36sMrKSvbWW28xZ2dndvbsWTFLlwzKkA/lx4fyE46y40P5ER7U2FlBaWkpGzJkCHv11VdZQUEBKyoqYsnJySw8PJy98cYbrLS01LxsSUkJi46OZsnJyUypVNJKeRdlyIfy40P5CUfZ8aH8CC9q7Kzg4sWLLCQk5IGV7OWXX2aRkZHs3XffZfX19YwxxvLz85lMJmPOzs4sOztbhGqliTLkQ/nxofyEo+z4UH6EF51jZwV6vR4GgwENDQ0AgMbGRgDA+vXrMWnSJHz44Ye4evUqAMDT0xOrV69GVlYWoqKixCpZcihDPpQfH8pPOMqOD+VHeMkYozMsrSE2NhZubm44cuQIgJb7b6pUKgDAqFGjMHDgQKSkpAAAmpqa4OTkJFqtUkUZ8qH8+FB+wlF2fCg/woP22FlAfX09amtrUVNTY37s448/xsWLF7F06VIALbd6MRgMAIC4uDjU19ebl6WVkjLkRfnxofyEo+z4UH7E0qix45Sfn48FCxZg4sSJCA8Px9dffw0ACA8Px4YNG3Do0CEsWrQIer3ePK9QaWkpXF1dYTAY6JJ0UIa8KD8+lJ9wlB0fyo9YA01QzCE/Px9xcXFYsWIFRo4ciXPnzuHJJ59EREQEoqOjMXfuXLi6umL16tUYNmwYhgwZAqVSiT179uD06dNwdKT4KUM+lB8fyk84yo4P5Ueshc6xE6iyshJLlizBkCFDsGHDBvPjkyZNQmRkJN577z3zY7W1tXj77bdRWVkJJycnPPvss4iIiBCjbEmhDPlQfnwoP+EoOz6UH7EmavkF0uv1qK6uRlJSEoBf78sXGhqKyspKAABrmU4GarUaf/3rX9ssRyhDXpQfH8pPOMqOD+VHrIlGiEB+fn746quvzPfSNBqNAICAgADziieTySCXy9ucFNt6KxhCGfKi/PhQfsJRdnwoP2JN1NhxGDRoEICWb1EKhQJAy7es0tJS8zLr1q3DZ599Zr6iiVbMtihDPpQfH8pPOMqOD+VHrIUOxVqAXC4HY8y80rV+41q7di3efvttZGdn04munaAM+VB+fCg/4Sg7PpQfsTTaY2chrdegODo6IigoCP/93/+Nd999F2fPnsXw4cNFrs42UIZ8KD8+lJ9wlB0fyo9YEn0NsJDWb1kKhQKffvop3N3dceLECcTExIhcme2gDPlQfnwoP+EoOz6UH7Ek2mNnYTNmzAAAnDp1CiNHjhS5GttEGfKh/PhQfsJRdnwoP2IJNI+dFdTX18PV1VXsMmwaZciH8uND+QlH2fGh/AgvauwIIYQQQnoJOhRLCCGEENJLUGNHCCGEENJLUGNHCCGEENJLUGNHCCGEENJLUGNHCCGEENJLUGNHCCGEENJLUGNHCCGEENJLUGNHCCGEENJLUGNHCCGEENJLUGNHCCGEENJL/H+A1m7Lhh6uewAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "color = 'tab:blue'\n",
    "ax1.set_ylabel('Monthly PnL ($/b)', rotation=90)\n",
    "ax1.bar(PnL_monthly.Month, PnL_monthly.PnL, width=10.8)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "plt.grid(color = 'gray', linestyle = '--', linewidth = 0.5)\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "color = 'tab:red'\n",
    "ax2.set_ylabel('Cumulative Return (%)', rotation=90)\n",
    "ax2.plot(PnL_monthly.Month, PnL_monthly.logPnL_c, color=color)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "#ax2.set_ylim([-20, 20])\n",
    "\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfee140d",
   "metadata": {},
   "source": [
    "### Total real PnL after commissions in the IBKR platform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "af67f324",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total PnL (in $) after commissions on IBKR platform for the given time period:\n",
      "3226.140\n"
     ]
    }
   ],
   "source": [
    "## number of MCL contracts traded\n",
    "n_mcl = 3\n",
    "\n",
    "# price of 1 MCL contract\n",
    "pr_mcl = .77\n",
    "\n",
    "# total PnL (in $) after commissions on IBKR before taxes\n",
    "print('Total PnL (in $) after commissions on IBKR platform for the given time period:')\n",
    "# Here we don't take into account the rolling of futures.\n",
    "total_PnL = results.PnL.sum()*100*n_mcl - pr_mcl*n_mcl*2*len(cross_index) - 1*len(cross_index)\n",
    "print('%.3f' % total_PnL)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "358827a3",
   "metadata": {},
   "source": [
    "## WTI Carry-Momentum Strategy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46b89efa",
   "metadata": {},
   "source": [
    "### Graph of WTI price against the 20-day momentum of Carry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b4a4ba54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "color = 'tab:red'\n",
    "ax1.set_ylabel('WTI Price ($/b)', rotation=90)\n",
    "ax1.plot(datos['date'].iloc[:], datos['FrontMonth'].iloc[:], color=color)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "color = 'tab:blue'\n",
    "ax2.set_ylabel('Carry Momentum($/b)', rotation=90)\n",
    "ax2.plot(datos['date'].iloc[:], datos['CarryMom'].iloc[:], color=color)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "plt.grid(color = 'gray', linestyle = '--', linewidth = 0.5)\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27249092",
   "metadata": {},
   "source": [
    "### Backtesting the Carry-Momentum strategy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8b733c03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>PnL</th>\n",
       "      <th>logPnL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023-06-13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023-06-14</td>\n",
       "      <td>1.12</td>\n",
       "      <td>0.017730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023-06-15</td>\n",
       "      <td>-2.35</td>\n",
       "      <td>-0.036847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023-06-16</td>\n",
       "      <td>-1.12</td>\n",
       "      <td>-0.017094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023-06-19</td>\n",
       "      <td>-0.00</td>\n",
       "      <td>-0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date   PnL    logPnL\n",
       "0  2023-06-13  0.00  0.000000\n",
       "1  2023-06-14  1.12  0.017730\n",
       "2  2023-06-15 -2.35 -0.036847\n",
       "3  2023-06-16 -1.12 -0.017094\n",
       "4  2023-06-19 -0.00 -0.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total PnL in $/b for the given time period:\n",
      "16.67\n",
      "Total log-return (%) for the given time period:\n",
      "21.93\n"
     ]
    }
   ],
   "source": [
    "# WTI Carry strategy with rollover on the last business day of each month\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "# these two indices determine initial and final dates for the analysis\n",
    "ind = 59\n",
    "indE = 318   # End date\n",
    "\n",
    "pos = 0\n",
    "open_p = -1\n",
    "close_p = -1\n",
    "PnL = [0]\n",
    "logPnL = [0]\n",
    "cross_index = []\n",
    "\n",
    "open_p = datos.iloc[ind].FrontSynthetic\n",
    "if datos.iloc[ind].CarryMom > 0:\n",
    "    pos = 1\n",
    "else:\n",
    "    pos = -1\n",
    "cross_index.append(ind)\n",
    "\n",
    "# change position when Carry changes sign\n",
    "for index in datos.iloc[ind+1:indE+1].iterrows():\n",
    "    indy = index[0]\n",
    "    \n",
    "    close_p = datos['FrontSynthetic'].iloc[indy]\n",
    "    PnL.append(pos*(close_p-open_p))\n",
    "    logPnL.append(pos*np.log(close_p/open_p))\n",
    "    open_p = close_p\n",
    "    \n",
    "    if datos.iloc[indy].CarryMom*datos.iloc[indy-1].CarryMom < 0:\n",
    "        \n",
    "        if datos.iloc[indy].CarryMom > 0:\n",
    "            pos = 1\n",
    "        else:\n",
    "            pos = -1\n",
    "        cross_index.append(indy)\n",
    "\n",
    "results = pd.DataFrame(\n",
    "                {'date': datos['date'].iloc[ind:indE+1],\n",
    "                 'PnL': PnL,\n",
    "                 'logPnL': logPnL\n",
    "                })\n",
    "results.reset_index(drop=True, inplace=True)\n",
    "display(results.head())\n",
    "\n",
    "print('Total PnL in $/b for the given time period:')\n",
    "print('%.2f' % results.PnL.sum())\n",
    "\n",
    "logPnL_sum = results.logPnL.sum() * 100\n",
    "\n",
    "print('Total log-return (%) for the given time period:')\n",
    "print('%.2f' % logPnL_sum)\n",
    "        \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dccc121f",
   "metadata": {},
   "source": [
    "### Obtain results for every month in the time interval of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3748a127",
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>PnL</th>\n",
       "      <th>logPnL</th>\n",
       "      <th>Month</th>\n",
       "      <th>logPnL_c</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2023</td>\n",
       "      <td>July</td>\n",
       "      <td>8.82</td>\n",
       "      <td>0.123408</td>\n",
       "      <td>2023-07-01</td>\n",
       "      <td>12.340811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2023</td>\n",
       "      <td>August</td>\n",
       "      <td>0.99</td>\n",
       "      <td>0.012491</td>\n",
       "      <td>2023-08-01</td>\n",
       "      <td>13.589867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2023</td>\n",
       "      <td>September</td>\n",
       "      <td>7.83</td>\n",
       "      <td>0.095520</td>\n",
       "      <td>2023-09-01</td>\n",
       "      <td>23.141829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2023</td>\n",
       "      <td>October</td>\n",
       "      <td>-11.42</td>\n",
       "      <td>-0.136157</td>\n",
       "      <td>2023-10-01</td>\n",
       "      <td>9.526126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2023</td>\n",
       "      <td>November</td>\n",
       "      <td>4.54</td>\n",
       "      <td>0.059833</td>\n",
       "      <td>2023-11-01</td>\n",
       "      <td>15.509465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2023</td>\n",
       "      <td>December</td>\n",
       "      <td>-0.08</td>\n",
       "      <td>-0.002069</td>\n",
       "      <td>2023-12-01</td>\n",
       "      <td>15.302593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2024</td>\n",
       "      <td>January</td>\n",
       "      <td>4.01</td>\n",
       "      <td>0.056307</td>\n",
       "      <td>2024-01-01</td>\n",
       "      <td>20.933336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2024</td>\n",
       "      <td>February</td>\n",
       "      <td>-5.23</td>\n",
       "      <td>-0.074196</td>\n",
       "      <td>2024-02-01</td>\n",
       "      <td>13.513716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2024</td>\n",
       "      <td>March</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0.026637</td>\n",
       "      <td>2024-03-01</td>\n",
       "      <td>16.17737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2024</td>\n",
       "      <td>April</td>\n",
       "      <td>5.31</td>\n",
       "      <td>0.064306</td>\n",
       "      <td>2024-04-01</td>\n",
       "      <td>22.607988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2024</td>\n",
       "      <td>May</td>\n",
       "      <td>0.45</td>\n",
       "      <td>0.005552</td>\n",
       "      <td>2024-05-01</td>\n",
       "      <td>23.163197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024</td>\n",
       "      <td>June</td>\n",
       "      <td>0.33</td>\n",
       "      <td>0.004165</td>\n",
       "      <td>2024-06-01</td>\n",
       "      <td>23.57974</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    year      month    PnL    logPnL      Month   logPnL_c\n",
       "0   2023       July   8.82  0.123408 2023-07-01  12.340811\n",
       "1   2023     August   0.99  0.012491 2023-08-01  13.589867\n",
       "2   2023  September   7.83  0.095520 2023-09-01  23.141829\n",
       "3   2023    October -11.42 -0.136157 2023-10-01   9.526126\n",
       "4   2023   November   4.54  0.059833 2023-11-01  15.509465\n",
       "5   2023   December  -0.08 -0.002069 2023-12-01  15.302593\n",
       "6   2024    January   4.01  0.056307 2024-01-01  20.933336\n",
       "7   2024   February  -5.23 -0.074196 2024-02-01  13.513716\n",
       "8   2024      March   2.18  0.026637 2024-03-01   16.17737\n",
       "9   2024      April   5.31  0.064306 2024-04-01  22.607988\n",
       "10  2024        May   0.45  0.005552 2024-05-01  23.163197\n",
       "11  2024       June   0.33  0.004165 2024-06-01   23.57974"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results.date = pd.to_datetime(results.date)\n",
    "PnL_monthly = results.groupby([results['date'].dt.year.rename('year'), results['date'].dt.month_name().rename('month')], sort=False)[['PnL','logPnL']].sum().reset_index()\n",
    "PnL_monthly['Month'] = pd.to_datetime(PnL_monthly['year'].astype(str)  + PnL_monthly['month'], format='%Y%B')\n",
    "\n",
    "PnL_monthly.drop([0], inplace=True)\n",
    "PnL_monthly.reset_index(inplace=True, drop=True)\n",
    "PnL_monthly['logPnL_c'] = ''\n",
    "PnL_monthly.loc[0,'logPnL_c'] = PnL_monthly.loc[0,'logPnL'] * 100\n",
    "for ind in PnL_monthly.index[1:]:\n",
    "    PnL_monthly.loc[ind,'logPnL_c'] = PnL_monthly.loc[ind-1,'logPnL_c'] + PnL_monthly.loc[ind,'logPnL'] * 100\n",
    "    \n",
    "display(PnL_monthly)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4e78f4df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "color = 'tab:blue'\n",
    "ax1.set_ylabel('Monthly PnL ($/b)', rotation=90)\n",
    "ax1.bar(PnL_monthly.Month, PnL_monthly.PnL, width=10.8)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "plt.grid(color = 'gray', linestyle = '--', linewidth = 0.5)\n",
    "plt.xticks(rotation=45)\n",
    "\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "color = 'tab:red'\n",
    "ax2.set_ylabel('Cumulative Return (%)', rotation=90)\n",
    "ax2.plot(PnL_monthly.Month, PnL_monthly.logPnL_c, color=color)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "#ax2.set_ylim([-20, 20])\n",
    "\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "708ba628",
   "metadata": {},
   "source": [
    "### Total real PnL after commissions in the IBKR platform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1df87bff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total PnL (in $) after commissions on IBKR platform for the given time period:\n",
      "4899.840\n"
     ]
    }
   ],
   "source": [
    "## number of MCL contracts traded\n",
    "n_mcl = 3\n",
    "\n",
    "# price of 1 MCL contract\n",
    "pr_mcl = .77\n",
    "\n",
    "# total PnL (in $) after commissions on IBKR before taxes\n",
    "print('Total PnL (in $) after commissions on IBKR platform for the given time period:')\n",
    "# Here we don't take into account the rolling of futures.\n",
    "total_PnL = results.PnL.sum()*100*n_mcl - pr_mcl*n_mcl*2*len(cross_index) - 1*len(cross_index)\n",
    "print('%.3f' % total_PnL)"
   ]
  }
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