whale_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " #  A Whale off the Port(folio)\n",
    " ---\n",
    "\n",
    " In this assignment, you'll get to use what you've learned this week to evaluate the performance among various algorithmic, hedge, and mutual fund portfolios and compare them against the S&P 500 Index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initial imports\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime as dt\n",
    "from pathlib import Path\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning\n",
    "\n",
    "In this section, you will need to read the CSV files into DataFrames and perform any necessary data cleaning steps. After cleaning, combine all DataFrames into a single DataFrame.\n",
    "\n",
    "Files:\n",
    "\n",
    "* `whale_returns.csv`: Contains returns of some famous \"whale\" investors' portfolios.\n",
    "\n",
    "* `algo_returns.csv`: Contains returns from the in-house trading algorithms from Harold's company.\n",
    "\n",
    "* `sp500_history.csv`: Contains historical closing prices of the S&P 500 Index."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Whale Returns\n",
    "\n",
    "Read the Whale Portfolio daily returns and clean the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SOROS FUND MANAGEMENT LLC</th>\n",
       "      <th>PAULSON &amp; CO.INC.</th>\n",
       "      <th>TIGER GLOBAL MANAGEMENT LLC</th>\n",
       "      <th>BERKSHIRE HATHAWAY INC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-03-02</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-03</th>\n",
       "      <td>-0.001266</td>\n",
       "      <td>-0.004981</td>\n",
       "      <td>-0.000496</td>\n",
       "      <td>-0.006569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-04</th>\n",
       "      <td>0.002230</td>\n",
       "      <td>0.003241</td>\n",
       "      <td>-0.002534</td>\n",
       "      <td>0.004213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-05</th>\n",
       "      <td>0.004016</td>\n",
       "      <td>0.004076</td>\n",
       "      <td>0.002355</td>\n",
       "      <td>0.006726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-06</th>\n",
       "      <td>-0.007905</td>\n",
       "      <td>-0.003574</td>\n",
       "      <td>-0.008481</td>\n",
       "      <td>-0.013098</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            SOROS FUND MANAGEMENT LLC  PAULSON & CO.INC.   \\\n",
       "Date                                                        \n",
       "2015-03-02                        NaN                 NaN   \n",
       "2015-03-03                  -0.001266           -0.004981   \n",
       "2015-03-04                   0.002230            0.003241   \n",
       "2015-03-05                   0.004016            0.004076   \n",
       "2015-03-06                  -0.007905           -0.003574   \n",
       "\n",
       "            TIGER GLOBAL MANAGEMENT LLC  BERKSHIRE HATHAWAY INC  \n",
       "Date                                                             \n",
       "2015-03-02                          NaN                     NaN  \n",
       "2015-03-03                    -0.000496               -0.006569  \n",
       "2015-03-04                    -0.002534                0.004213  \n",
       "2015-03-05                     0.002355                0.006726  \n",
       "2015-03-06                    -0.008481               -0.013098  "
      ]
     },
     "execution_count": 295,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading whale returns\n",
    "\n",
    "whale_returns_data = Path(\"../Starter_Code/Resources/whale_returns.csv\")\n",
    "\n",
    "whale_df = pd.read_csv(whale_returns_data, index_col=\"Date\", infer_datetime_format=True, parse_dates=True)\n",
    "whale_df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 296,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 296,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count nulls\n",
    "whale_df.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 297,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SOROS FUND MANAGEMENT LLC</th>\n",
       "      <th>PAULSON &amp; CO.INC.</th>\n",
       "      <th>TIGER GLOBAL MANAGEMENT LLC</th>\n",
       "      <th>BERKSHIRE HATHAWAY INC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-03-03</th>\n",
       "      <td>-0.001266</td>\n",
       "      <td>-0.004981</td>\n",
       "      <td>-0.000496</td>\n",
       "      <td>-0.006569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-04</th>\n",
       "      <td>0.002230</td>\n",
       "      <td>0.003241</td>\n",
       "      <td>-0.002534</td>\n",
       "      <td>0.004213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-05</th>\n",
       "      <td>0.004016</td>\n",
       "      <td>0.004076</td>\n",
       "      <td>0.002355</td>\n",
       "      <td>0.006726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-06</th>\n",
       "      <td>-0.007905</td>\n",
       "      <td>-0.003574</td>\n",
       "      <td>-0.008481</td>\n",
       "      <td>-0.013098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-09</th>\n",
       "      <td>0.000582</td>\n",
       "      <td>0.004225</td>\n",
       "      <td>0.005843</td>\n",
       "      <td>-0.001652</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            SOROS FUND MANAGEMENT LLC  PAULSON & CO.INC.   \\\n",
       "Date                                                        \n",
       "2015-03-03                  -0.001266           -0.004981   \n",
       "2015-03-04                   0.002230            0.003241   \n",
       "2015-03-05                   0.004016            0.004076   \n",
       "2015-03-06                  -0.007905           -0.003574   \n",
       "2015-03-09                   0.000582            0.004225   \n",
       "\n",
       "            TIGER GLOBAL MANAGEMENT LLC  BERKSHIRE HATHAWAY INC  \n",
       "Date                                                             \n",
       "2015-03-03                    -0.000496               -0.006569  \n",
       "2015-03-04                    -0.002534                0.004213  \n",
       "2015-03-05                     0.002355                0.006726  \n",
       "2015-03-06                    -0.008481               -0.013098  \n",
       "2015-03-09                     0.005843               -0.001652  "
      ]
     },
     "execution_count": 297,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop nulls\n",
    "whale_df.dropna(inplace=True)\n",
    "whale_df.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Algorithmic Daily Returns\n",
    "\n",
    "Read the algorithmic daily returns and clean the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 298,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Algo 1</th>\n",
       "      <th>Algo 2</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-05-28</th>\n",
       "      <td>0.001745</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-29</th>\n",
       "      <td>0.003978</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-05-30</th>\n",
       "      <td>0.004464</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-02</th>\n",
       "      <td>0.005692</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-03</th>\n",
       "      <td>0.005292</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Algo 1  Algo 2\n",
       "Date                        \n",
       "2014-05-28  0.001745     NaN\n",
       "2014-05-29  0.003978     NaN\n",
       "2014-05-30  0.004464     NaN\n",
       "2014-06-02  0.005692     NaN\n",
       "2014-06-03  0.005292     NaN"
      ]
     },
     "execution_count": 298,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading algorithmic returns\n",
    "\n",
    "algorithmic_returns_data = Path(\"../Starter_Code/Resources/algo_returns.csv\")\n",
    "\n",
    "algorithmic_df = pd.read_csv(algorithmic_returns_data, index_col=\"Date\", infer_datetime_format=True, parse_dates=True)\n",
    "algorithmic_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 299,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Count nulls\n",
    "algorithmic_df.isna().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Algo 2</th>\n",
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       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-06-05</th>\n",
       "      <td>0.004062</td>\n",
       "      <td>0.013285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-06</th>\n",
       "      <td>0.001857</td>\n",
       "      <td>0.008284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-09</th>\n",
       "      <td>-0.005012</td>\n",
       "      <td>0.005668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-10</th>\n",
       "      <td>0.004406</td>\n",
       "      <td>-0.000735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-06-11</th>\n",
       "      <td>0.004760</td>\n",
       "      <td>-0.003761</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Algo 1    Algo 2\n",
       "Date                          \n",
       "2014-06-05  0.004062  0.013285\n",
       "2014-06-06  0.001857  0.008284\n",
       "2014-06-09 -0.005012  0.005668\n",
       "2014-06-10  0.004406 -0.000735\n",
       "2014-06-11  0.004760 -0.003761"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop nulls\n",
    "algorithmic_df.dropna(inplace=True)\n",
    "algorithmic_df.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## S&P 500 Returns\n",
    "\n",
    "Read the S&P 500 historic closing prices and create a new daily returns DataFrame from the data. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 301,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-04-23</th>\n",
       "      <td>$2933.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-22</th>\n",
       "      <td>$2907.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-18</th>\n",
       "      <td>$2905.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-17</th>\n",
       "      <td>$2900.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-16</th>\n",
       "      <td>$2907.06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Close\n",
       "Date                \n",
       "2019-04-23  $2933.68\n",
       "2019-04-22  $2907.97\n",
       "2019-04-18  $2905.03\n",
       "2019-04-17  $2900.45\n",
       "2019-04-16  $2907.06"
      ]
     },
     "execution_count": 301,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Reading S&P 500 Closing Prices\n",
    "\n",
    "SP500_historical_data = Path('../Starter_Code/Resources/sp500_history.csv')\n",
    "SP500_df = pd.read_csv(SP500_historical_data, index_col=\"Date\", infer_datetime_format=True, parse_dates=True)\n",
    "\n",
    "SP500_df.head()\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Close    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 302,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check Data Types\n",
    "\n",
    "SP500_df.dtypes\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 303,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-04-23</th>\n",
       "      <td>2933.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-22</th>\n",
       "      <td>2907.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-18</th>\n",
       "      <td>2905.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-17</th>\n",
       "      <td>2900.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-16</th>\n",
       "      <td>2907.06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Close\n",
       "Date               \n",
       "2019-04-23  2933.68\n",
       "2019-04-22  2907.97\n",
       "2019-04-18  2905.03\n",
       "2019-04-17  2900.45\n",
       "2019-04-16  2907.06"
      ]
     },
     "execution_count": 303,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fix Data Types\n",
    "\n",
    "SP500_df['Close'] = SP500_df['Close'].str.replace('$','',regex=True)\n",
    "\n",
    "SP500_df['Close'] = SP500_df['Close'].astype(float)\n",
    "\n",
    "SP500_df.dtypes\n",
    "SP500_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "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>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-04-23</th>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-22</th>\n",
       "      <td>-0.008764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-18</th>\n",
       "      <td>-0.001011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-17</th>\n",
       "      <td>-0.001577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-16</th>\n",
       "      <td>0.002279</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Close\n",
       "Date                \n",
       "2019-04-23       NaN\n",
       "2019-04-22 -0.008764\n",
       "2019-04-18 -0.001011\n",
       "2019-04-17 -0.001577\n",
       "2019-04-16  0.002279"
      ]
     },
     "execution_count": 304,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate Daily Returns\n",
    "\n",
    "SP500_Daily_returns  = SP500_df.pct_change()\n",
    "SP500_Daily_returns.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 305,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop nulls\n",
    "SP500_Daily_returns.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "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>SP500</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-04-22</th>\n",
       "      <td>-0.008764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-18</th>\n",
       "      <td>-0.001011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-17</th>\n",
       "      <td>-0.001577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-16</th>\n",
       "      <td>0.002279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-04-15</th>\n",
       "      <td>-0.000509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-05</th>\n",
       "      <td>0.003469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-04</th>\n",
       "      <td>0.000322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-03</th>\n",
       "      <td>-0.007123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-02</th>\n",
       "      <td>-0.003611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-10-01</th>\n",
       "      <td>-0.000872</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1648 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               SP500\n",
       "Date                \n",
       "2019-04-22 -0.008764\n",
       "2019-04-18 -0.001011\n",
       "2019-04-17 -0.001577\n",
       "2019-04-16  0.002279\n",
       "2019-04-15 -0.000509\n",
       "...              ...\n",
       "2012-10-05  0.003469\n",
       "2012-10-04  0.000322\n",
       "2012-10-03 -0.007123\n",
       "2012-10-02 -0.003611\n",
       "2012-10-01 -0.000872\n",
       "\n",
       "[1648 rows x 1 columns]"
      ]
     },
     "execution_count": 306,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Rename `Close` Column to be specific to this portfolio.\n",
    "SP500_Daily_returns.columns = ['SP500']\n",
    "SP500_Daily_returns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Combine Whale, Algorithmic, and S&P 500 Returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "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>Algo 1</th>\n",
       "      <th>Algo 2</th>\n",
       "      <th>SP500</th>\n",
       "      <th>SOROS FUND MANAGEMENT LLC</th>\n",
       "      <th>PAULSON &amp; CO.INC.</th>\n",
       "      <th>TIGER GLOBAL MANAGEMENT LLC</th>\n",
       "      <th>BERKSHIRE HATHAWAY INC</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-03-03</th>\n",
       "      <td>-0.001942</td>\n",
       "      <td>-0.000949</td>\n",
       "      <td>0.004408</td>\n",
       "      <td>-0.001266</td>\n",
       "      <td>-0.004981</td>\n",
       "      <td>-0.000496</td>\n",
       "      <td>-0.006569</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-04</th>\n",
       "      <td>-0.008589</td>\n",
       "      <td>0.002416</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>0.002230</td>\n",
       "      <td>0.003241</td>\n",
       "      <td>-0.002534</td>\n",
       "      <td>0.004213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-05</th>\n",
       "      <td>-0.000955</td>\n",
       "      <td>0.004323</td>\n",
       "      <td>0.014378</td>\n",
       "      <td>0.004016</td>\n",
       "      <td>0.004076</td>\n",
       "      <td>0.002355</td>\n",
       "      <td>0.006726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-06</th>\n",
       "      <td>-0.004957</td>\n",
       "      <td>-0.011460</td>\n",
       "      <td>-0.003929</td>\n",
       "      <td>-0.007905</td>\n",
       "      <td>-0.003574</td>\n",
       "      <td>-0.008481</td>\n",
       "      <td>-0.013098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-03-09</th>\n",
       "      <td>-0.005447</td>\n",
       "      <td>0.001303</td>\n",
       "      <td>0.017254</td>\n",
       "      <td>0.000582</td>\n",
       "      <td>0.004225</td>\n",
       "      <td>0.005843</td>\n",
       "      <td>-0.001652</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Algo 1    Algo 2     SP500  SOROS FUND MANAGEMENT LLC  \\\n",
       "Date                                                                  \n",
       "2015-03-03 -0.001942 -0.000949  0.004408                  -0.001266   \n",
       "2015-03-04 -0.008589  0.002416 -0.001195                   0.002230   \n",
       "2015-03-05 -0.000955  0.004323  0.014378                   0.004016   \n",
       "2015-03-06 -0.004957 -0.011460 -0.003929                  -0.007905   \n",
       "2015-03-09 -0.005447  0.001303  0.017254                   0.000582   \n",
       "\n",
       "            PAULSON & CO.INC.   TIGER GLOBAL MANAGEMENT LLC  \\\n",
       "Date                                                          \n",
       "2015-03-03           -0.004981                    -0.000496   \n",
       "2015-03-04            0.003241                    -0.002534   \n",
       "2015-03-05            0.004076                     0.002355   \n",
       "2015-03-06           -0.003574                    -0.008481   \n",
       "2015-03-09            0.004225                     0.005843   \n",
       "\n",
       "            BERKSHIRE HATHAWAY INC  \n",
       "Date                                \n",
       "2015-03-03               -0.006569  \n",
       "2015-03-04                0.004213  \n",
       "2015-03-05                0.006726  \n",
       "2015-03-06               -0.013098  \n",
       "2015-03-09               -0.001652  "
      ]
     },
     "execution_count": 307,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Join Whale Returns, Algorithmic Returns, and the S&P 500 Returns into a single DataFrame with columns for each portfolio's returns.\n",
    "\n",
    "combined_df = pd.concat([algorithmic_df,SP500_Daily_returns,whale_df], axis='columns', join='inner')\n",
    "combined_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conduct Quantitative Analysis\n",
    "\n",
    "In this section, you will calculate and visualize performance and risk metrics for the portfolios."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Performance Anlysis\n",
    "\n",
    "#### Calculate and Plot the daily returns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 308,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 308,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot daily returns of all portfolios\n",
    "\n",
    "combined_df.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculate and Plot cumulative returns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 309,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate cumulative returns of all portfolios\n",
    "cumulative_returns = (1 + combined_df).cumprod() - 1\n",
    "\n",
    "# Plot cumulative returns\n",
    "cumulative_returns.plot(figsize=(10,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Risk Analysis\n",
    "\n",
    "Determine the _risk_ of each portfolio:\n",
    "\n",
    "1. Create a box plot for each portfolio. \n",
    "2. Calculate the standard deviation for all portfolios\n",
    "4. Determine which portfolios are riskier than the S&P 500\n",
    "5. Calculate the Annualized Standard Deviation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a box plot for each portfolio\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 310,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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hqFKhoaHw9fXFnDlzjPbviY+Ph5+fH0JDQ81YSiLrwWPOcqWlpeHixYsAgEcffRQDBw6Ek5MTCgsLsWnTJmzcuBEXL15EWloaHnvsMTOXllhTZwXYtIGodkk/cn///TcKCwuxbNkynDt3DsuWLUNhYSH+/vtvRRyphzSZbkpKCiIiIhRNZyMiIpCSkoIFCxZY1QAARObEY85ybd++HQAQGBiIrKwsvPTSS3j++efx0ksvISsrC4GBgYo4Mi/W1FkB/aYNwcHBBuvZtIGoeknNKtu0aYObN29izJgx8jpfX1+0bt0af//9N5tfqlRkZCQSExMRGxuLkJAQebmfnx8SExM5ZxZRNeMxZ5lOnz4NADh69CicnJwU6y5evIjCwkJFHJkXa+qsgH7ThtLSUsU6Nm0gqjnGZoS5D2eJsUiRkZE4duwYUlNTsWbNGqSmpiI7O5sXl0Q1hMec5WnatKn8+LHHHlPUsuo3t9SPI/NhTZ0VkJo2REdHIyIiAnFxcWjfvj2ysrIQHx+PlJQUJCYmsmkDUTXRb37ZsGFDLFu2DOHh4UhJScGbb76JU6dOKeJInaTJdImodvCYsywNGjSQHwshDP4ZiyPzYVJnJdi0gaj2SM0qW7dujcLCQja/JCIiq3Pt2jX58c8//4yNGzfKz/UHBNOPI/NhUmdFIiMjMXjwYKSnpyM3Nxfe3t4IDQ1lDR1RDfHw8MD27duxc+dO+Zjr0aMHHn30UXMXjYiI6J7oj1R669YtxTr95+VHXifz4F4gIrpDUrPKnTt3IjIyEocOHUJhYSEOHTqEyMhI7Ny5UxFHRERkaUxtKssmterAmjorkpSUhNjYWIM5sxISEtj8kqgaSSPJxsTE4JtvvkFKSoq8TqvVYvjw4VizZg1HnCUi0qPT6diayILod+fx9PTEM888gxYtWuDEiRP48ssvcenSJYM4Mh/W1FmJpKQkREdHIygoSDE6UVBQEKKjo5GUlGTuIhJZjdDQUHh6emL16tWwt7dXrLO3t8eaNWvg5eXFEWeJiP6/pKQkBAQEICwsDDExMQgLC0NAQACvT1Rs6dKl8uPr168jISEBL730EhISEnDjxg2jcWQ+TOqsgE6nQ2xsLMLDw5GcnIzg4GC4uLggODgYycnJCA8Px5QpU6DT6cxdVCKrcfv2bcX/5ZeX739ARHS/km48t2/fHkuWLMGKFSuwZMkStG/fnjeeVWzHjh0AgBkzZhgM/OXl5YXp06cr4si82PzSCqSnpyMnJwdr166FEAJpaWmKpg1xcXEICQlBeno62z0TVYO0tDTk5+cDgNG5IQEgPz8faWlpirl8iIjuN9KN5wcffBB//vmnorl68+bN8eCDD2LKlCkYPHgwm2KqjIuLCwDgwoULBnOwlpaWyv3GpTgyLyZ1ViA3NxcAcPz4cQwbNkyeIwsoO2G+9957ijhSn6KiIixduhTHjx+Hv78/xo8fb9Csj9Rj+/bt8uNBgwYhICAAhYWFcHJywrFjx+Rhn7dv386kjojua9KN55ycHISHh2PatGlwcnJCYWEhNm/eLCd5vPGsPiNHjsTXX3+N5cuXG6w7ffo0VqxYIceR+TGpswLSYAwjRoyAk5OTYt3FixcxYsQIRRypy7Rp07Bw4UKUlJTIy6ZOnYpJkyZh3rx5ZiwZVUS6ceLj44OsrCzF3D3NmzeHj48Pzpw5o7jBQurDQRuIat7Zs2cBAJ06dUJWVpaips7X1xedOnXC/v375ThSD45+aVnYp84KhISEyHOEPProo4qBUqT5smxsbDg6kQpNmzYN8+fPh7u7Oz7//HPk5ubi888/h7u7O+bPn49p06aZu4hUiTNnzhgdnOjMmTPmLhpVgYM2WDadToe0tDSsXbsWaWlp7DOuYtIIifv37zfap27//v2KOFKPX375pVrjqGaxps4KpKeny/14NBoNhBDyP41GA6Cs7XN6ejqbgqlIUVERFi5ciIYNG+Kff/6BrW3Z4fif//wHo0aNQtOmTbFw4UK8++67bIqpMj4+PvJj/eNN+mcsjtRDGrRh0KBBmDp1qqIpWHR0NBITEzkNjIpx+h7L4u7uDgBwdXXFwYMHFTV1zZo1g6urK/Lz8+U4Uo8vvvjC5Lg+ffrUcGmoKqypswJpaWkAgFmzZuHPP/9ESEgIXF1dERISgqysLLz11luKOFKHpUuXoqSkBO+++66c0ElsbW0xe/ZslJSUcKhgFfLw8JAfb9++XXHMpaamGo0jddAftCErKwsvvfQSnn/+ebz00kvIysqSB21gzY86cfoey3PlyhUAZYNH/fPPP4p1//zzjzzolBRH6nHy5EkAgIODA5o1a6ZY16xZM/mGsxRH5sWkzspINXOkfsePHwcAhIeHG10vLZfiSD0aNWokPzY2IpixOFIHadCGffv2GU0M9u3bh5MnTyI9Pd3cRaVyOH2PZdKvgXNwcFCs03/Omjr1kabmuX37tkHz2EuXLqGoqEgRR+bFpM4KSB1UZ82ahXbt2inaq7dr1w6zZ89WxJE6+Pv7A4CiKYo+abkUR+rRpEkT+XFF89SVjyN1kAZj6N+/v9HEoH///oo4Ug8pIZ8xY4Y8fY/Up04Igbi4OCbkKiQNew+U9ftfvHgxli9fjsWLF8v9/svHkTo0btxYflxYWKhYp/9cP47Mh33qrEBoaChsbGxQWlqKn3/+WTESn6OjI4CygVJCQ0PNVUQyYvz48Zg6dSreeOMNjBo1StEEs6SkBG+99RZsbW0xfvx4M5aSjAkNDYWnpycuXboER0dHxY+b9NzLy4vHnApJd5sjIyPlAaYkNjY2iIiIwObNmzlogwrpT98zfPhwgz517777riKO1OHff/8FAAQGBuLPP/80GC04MDAQR48eleNIPUy9MckbmOrAmjorsGvXLrnJV/kqcOl5aWkpdu3aVetlo4rZ29tj0qRJuHDhApo2bYply5bh3LlzWLZsGZo2bYoLFy5g0qRJHCRFpaSmzvpTURh7Turi6ekJoKxvlrGJ45OTkxVxpB7StDwjR4402nRWmiuL0/eoi3Tz5OjRozh9+rRi3alTp3D06FFFHKmHm5tbtcZRzeIRZAX0mwmV71On/5zNidRn3rx5mDp1Kq5cuYIXX3wRTZo0wYsvvogrV65g6tSpnKdOpdLT0+WmQsXFxYp10vOLFy+yGZgKSXeUN2/ejIiICEViINXS6ceReoSEhMDW1hZeXl5ISkpSNJ1NSkqCl5cXbG1tOX2PynCuM8slTTcBGF5f6ifh+nFkPmx+aQWkpiZ2dnbQ6XSKgRs0Gg1sbW1RXFzMJikqFRwcjMaNGyvuYDZu3BjBwcFmLBVVxtQbJLyRoj6hoaHw9fWFh4cHDh48qEgAfH190aVLF1y5coVNZ1Vo165dKCkpwYULFxAZGYm4uDi0b98eWVlZiI+Px4ULF+Q4JgjqYWqSzWS89hQW6XD80vUq40o0dgAAD08vXLmsbJIuRNnyy5cuokRjh6yzeVVuz9/TBU722rsrNFWJSZ0VyMzMBFBWQ+Dp6Ylnn30WLVq0wIkTJ/DFF1/IfUOkOFIPaXju8PBwrFu3Tr5AmTNnDufLUrFz587Jj6X+rMae68eROmi1WiQkJCA6OhoDBw5EREQECgsL4eTkhGPHjmHTpk1ITEyEVssLD7WRbkx+/fXXeOONNxRJgJ+fH77++muMGDGCNzBVZvHixSbHTZ06tYZLQwBw/NJ1hH+8o8q4vOKyEZwvX7oIB78HYd+gMURJMTS2dij69xwun9wHANhf3Mik7aW88jDaN2FTzZrCpM4KFBQUyI+vX7+OBQsWyM+dnJyMxpH5lR+eW2rKII3CFxERgSlTpmDw4MG8wFSZffv2yY/t7OwUI17qP9ePI/WIjIzElClTsHDhQsWgDba2tpgyZQpvpKiU1FfO398fx44dQ3p6OnJzc+Ht7Y3Q0FDs2bNHEUfqIPVTNUaj0citi5KTk5nU1RJ/TxekvPJwlXFFRQ+ha8CqshuVuYdRcPJ/v2mOjmXXlzY2Nvh5+fsm9f/393S5+0JTlZjUWQH9ds6VDTnLOezURRqee+3atbh9+zamTp2K7OxstGzZEvPnz0dcXBxCQkKQnp7OpkQqc+jQIfmxm5sbevXqBWdnZ9y8eRNpaWlyfzv9OFKPpKQkLFiwAIMGDcKAAQPg5OSEwsJCbN68GQsWLEBwcDATOxWSms7OmTMH3377LTIzM3H8+HH4+/sjODgY8fHx8PPzY9NZlZEmFweAAQMG4MaNG7h8+TI8PDxQp04duR+rfhzVLCd7rck1ZrGxsZg/fz6Ki5TT9xT9/+exsbHo7MeBpdSASZ0VaNiwofy4sqZg+nFkflIToXfffVdRW7B161YsWbIEgwYNUsSRekh3ljUaDS5evIhvv/1WsV66+1x+YnIyP/0a8rVr1+K1116Tb6Z88803GD58OGvIVUpqOhsVFQVnZ2fF8TV58mQIIbB+/XruN5Xx8vKSH0sJXFVxpB7SgG0ffPCBYrlGo+GAbirD0S+tgP4IRMaG6DYWR+YnNRHauHEj7O3tMX36dBw7dgzTp0+Hvb29nOixKZH6SDdIKkrapOW8kaI+Ug35tWvX4OLigiVLlsg3UlxcXHDt2jVOYK1iu3fvBlDxSHzSelKPRo0aVWsc1b558+bh5s2bmDZzDup2Dse0mXNw8+ZNJnQqw6t8K+Dq6lqtcVQ7unTpAqDs4iQvLw/x8fHw9/dHfHw88vLy5IsWKY7Uo3PnztUaR7VHqvmuKGmTlrOGXH2KioqwcOFCNGzYEDdv3kRqairWrFmD1NRU3LhxAw0bNsTChQtRVFRk7qKSnsaNG1drHJmHvb09Ro4ejwZ9xmLk6PGcQ1eF2PzSCpw5c6Za46h2TJ8+HUBZrU5kZKRBPwOptmf69Okmjx5GtcPUvh/sI6I+9erVkx9X1lxdP47UYenSpSgpKcG7774LBwcHg77Gs2fPxosvvoilS5di4sSJZikjGfr777+rNY6IjGNSZwWkuXmqK45qR3Z2NgCgWbNmRvsZNGvWDKdPn5bjSD0OHDhQrXFUe5KSkuTHlY1cmpSUhAEDBtR6+ahix48fBwCEh4cbXS8tl+JIHfSTNUdHR9y6dcvocyZ1RPeGzS+tgP4JsjriqHa0bNkSABSTjuuTlktxpB6882y5fv31V/lxcXGxYp3+c/04Ugd/f38AQEpKCnQ6HdLS0rB27VqkpaVBp9MhJSVFEUfqcOXKFflx+b6Q+s/144jozjGpswKOjo7VGke1Y+bMmdUaR7WnpKSkWuOo9uj3t6psYCn2y1Kf8ePHy3MJ+vv7IywsDDExMQgLC4O/vz+mTZsGW1tbjB8/3txFJT3u7u4Aypo3e3oqh7738vKSB7mR4ojo7rD5pRUof5K81ziqHc8995zieb9+/fDmm2/inXfewY8//qiIk+5AkzrY2pp26jQ1jmqPn58fcnJyTIojdbG3t8egQYOwYcMG5OXlKdadOnUKADB48GAO4FBLCot0OH7pepVxHbs9jGPHjqG0tBS558+jz+ORaBLQDmePHULajynyzZSO3R5G1tm8KrZWNoG1kz2nrSAqj1ccVuDy5cvVGke1Y9euXQD+N6fZjz/+qEjmpOVSHKmHq6urwUVlRXGkLqbOhcU5s9RHanJZGakpJueqq3nHL11H+Mc7qozTeQ0CsAoAUFxUhG0/JAFIMojb7TXIpO2lvPKwyRNnE91PmNRZgcLCwmqNo3tnyh3MwltlAzIEtmmHrzZsw7zZr+NY9jEEtAzAtLfew9NP9Eb2X4dQeOs2716qjP7gGtURR7WnfJ+ee42j2rN9+/Yqb6bk5eVh+/bt6NOnTy2V6v7l7+mClFceNin21UMDkLq14onHw/oOwEexpu0zf08Xk+KI7jdM6qyAg4NDtcbRvTPlDmaRYwOg8CaOHM7Ck5/uhG3jSKAxsBfAk5/uxNm/DslxvHupLryRYrk4WrDl+uKLL0yOY1JX85zstSb/5mz/cRMiIiKwYcMGg3WDBw9GcnJyNZeO6P7DpM4K6HS6ao2je2fKHcwV2tFYOKdsEJRzHzyF0P5P4ojnI2h16Vekb/lOjpswbjSeH1/13VDevaw95UdNvNc4qj2mTirOycfV58SJE9UaR7UrOTkZhYWFeH7cq0j+ZR8iej6IFZ98BCcnJ3MXjcgqMKmzAkeOHKnWOLp3ptzBfH/mdCyKnwUhBIQQ+HVzWT8D/foBjUaD92dOZ8d/lbGzszNpihA7O7taKA3dCf0aOCcnJ0Vtqv5z1tSpD2vILZ+TkxNef28BMj7egddfeZgJHVE1YlJnBUwdeptDdKuLvb09pkyZgvnz51cYM2XKFCZ0KuTg4ICCggKT4qh2mDoSn65UyI9LdMopDXR6z3Wlgn1ZVebff/+VH9vZ2SE2NhYvvPACli9fjoSEBLlmXD+OiOh+waTOCphaG8BaA/WZN28eAOCDDz5QNI+1tbXFpEmT5PWkLqwxUB9TR+K76dAAwDUAQHGx8kZXkd7zmw7sy6o2N27ckB+XlJTg/fffx/vvvw9AObCNfhwR0f2CSZ0VuH79f3enpWHwjT3XjyP1mDdvHt599128OScBn/ywC+MeD8E7M2JZQ6diTOrUx9SR+NLbzcH4Z4aVPdE7V5Z//tGCOQh9lH1Za4OptaxC878aUVFu3+k/FxptlbWsrGElImvDpE7FTP2h079wrOyHrrCwkM2JVMre3h4jR4/HulsPYOToh5nQqZw0WW51xdG9M3UkvjYx0Zj4H/tKm6Pb29tjTEw05zqrJabWshbYNwBwseyJRqNMyvWeF9hXXcvKGlYisjZM6lTM1B86obEBRNUjWwqNDZsTEVXC1Bspd4I3UtRFq9Vi7dq1iIqKqjBm7dq1TOhqkam1rCtth+OD98pGDK6slvWV54bjuXGVb481rERkbZjUqZipP3TjfuuFHWk/Vxn38CO98IkJ2+OPHd2vTL2RAq09oDNh4CGtPW+kqFBkZCTWr1+PCRMm4J9//pGX+/j4YNGiRYiMjDRj6e4/ptayxr81HQvnzDJokaJPo9Eg/i2OGExE9x8mdSpm6g/d5h+SUbduXZPiXFyYsBFVxNQbKZt9l2HauFFVxs1bvAwDHueNFDWKjIzE4MGD8WXSZkz76lfMG/kInokcwBo6FeOIwUREFWNSZwVcXFzQtWtX7N27t8KYrl27MqEjqoLJ/bJGjzApqZs8egSTBBXTarXoGhKKOvs06BryMPeVBZBGBE5ISFD0WdVqtZg8eTJHDCai+5aNuQtA1WPPnj3o2rWr0XVdu3bFnj17arlERNZLq9Vi/fr1lcasX7+eSQJRDZg3bx4KCwsxbeYc1O0cjmkz5+DmzZtM6Ijovsakzors2bMHBQUFCOs3EHYezRHWbyAKCgqY0BHVAKlfVtOmTRXLmzZtivXr17NfFlENkkYMbtBnLEaOHs8ml0R032NSZ2VcXFzw0fI1aPzCEny0fA2bXBLVoMjISOTk5GDFtz/A4/GpWPHtD8jJyWFCR0RERLWKfeqIiO4B+2URERGRubGmjoiIiIiIyIIxqSMiIiIiIrJgbH5JRERERGSBTl6+gRu3S2rlbx27eF3xf22o42ALP486tfb3LBmTOiIiIiIiC3Py8g2ELUir9b87cV1mrf691Cm9mNiZgEkdEREREZGFkWroFg3tiACvmh/t/FaxDv9cLUTT+k5wtKv5QcGOXbyOiesya60m0tIxqSMiIiIislABXi5o38StVv5WF99a+TN0F5jUEVWhttqrs606ERGZC3/riCwbkzqiSpijvTrbqtP9jh3/iWoXf+uILB+TulpizRcp1nyBUpvt1dlWnYgd/y0df+ssE3/riCwfk7pacD9cpFjrBYqkttqrs6169bHmi0vAei8w2fHfcvG3zvLxt47IcjGpqwXWfJFizRcoZLnuh4tLwLovMNnx3/Lwt46IyHxqPKlbunQp5s+fj9zcXLRr1w6LFi1CaGhohfG//PILJk+ejEOHDqFx48aYNm0axo4dq4hZv3493nzzTRw/fhz+/v5477338OSTT9b0W7lnvEghqh3WfHEJ8AKT1I2/dUREta9Gk7p169Zh4sSJWLp0KXr06IHPPvsMAwYMwOHDh9GsWTOD+JMnT2LgwIEYPXo0vv76a+zcuRPjx4+Hp6cnoqKiAAAZGRkYOnQo3nnnHTz55JP47rvvMGTIEOzYsQPdunWrybdDRBaGF5dERER0P6jRpO6DDz7ACy+8gP/85z8AgEWLFuHHH3/EJ598gvj4eIP4Tz/9FM2aNcOiRYsAAG3atMHvv/+OBQsWyEndokWL0KdPH8TFxQEA4uLi8Msvv2DRokVYu3ZtTb4dug/d1t2CjeNZnMw/AhvHmq/xqU0n86/DxvEsbutuAaidxIeoKtZ8zAE87kidrPm4s+Zjzpr3G2Dd+64m1FhSV1RUhH379mH69OmK5X379sWuXbuMviYjIwN9+/ZVLOvXrx+WL1+O4uJi2NnZISMjA5MmTTKIkRJBY27fvo3bt2/Lz/Pz8+/w3dwbaz7orP2AO3fjFOr4fYwZe8xdkppRxw84d6MjHkRDcxeFCID1H3OA9R53/K2zXNZ+3FnrMWft+w2w3n1XE2osqbt8+TJ0Oh0aNlTuhIYNG+L8+fNGX3P+/Hmj8SUlJbh8+TK8vb0rjKlomwAQHx+Pt99++y7fyb2z9oPOmg+4xnWa48bJV/Dh0I7wr4W+WbXp+MXrmLAuE43Dmpu7KNXOmi8uAeu+wLTmYw6w7uOOv3WWy5qPO2s+5qx5vwHWve9qQo0PlKLRaBTPhRAGy6qKL7/8TrcZFxeHyZMny8/z8/Ph4+NTdeGriTUfdNZ+wDloHVF6qwn8XFuhrbt1XTyX3spD6a1LcNA6mrso1c7aLy4B673AtOZjDrDu446/dZbLmo87az7mrHm/Ada972pCjSV1Hh4e0Gq1BjVoFy9eNKhpkzRq1MhovK2tLdzd3SuNqWibAODg4AAHB4e7eRvVwpoPOh5wpEbWfHEJWP8FJlkm/tYREZlPjSV19vb2ePDBB7Ft2zbFdAPbtm3D4MGDjb6me/fu+OGHHxTLtm7dii5dusDOzk6O2bZtm6Jf3datWxESElID74KILJE1X1wCvMAkIiIipRptfjl58mSMHDkSXbp0Qffu3bFs2TKcPn1anncuLi4OZ8+exZdffgkAGDt2LBYvXozJkydj9OjRyMjIwPLlyxWjWk6YMAGPPPII5s6di8GDB2PDhg346aefsGPHjpp8K/eksFgHAMg6m1crf6+2J2QlIiIiIiLzqdGkbujQobhy5Qpmz56N3NxctG/fHps2bULz5mVNhnJzc3H69Gk53s/PD5s2bcKkSZOwZMkSNG7cGB999JE8nQEAhISE4JtvvsEbb7yBN998E/7+/li3bp2q56g7/v8Tn+lJf5q5JDWnjkONd880i9pMyM0xgTWR2ljzTTDAuo87a9531rzfiMg61PiV+Pjx4zF+/Hij61atWmWwrGfPnvjjjz8q3WZ0dDSio6Oro3i1om+7RgAAfy8XONXSRcPEdZlYNLQjAmqhP1EdB1v4edSp8b9jDkzILZM1X1wC1n2BeT8cc4B1Hnf3w76zxv0G8AYmkTWwzrOTyjSoY49hDzWr9b8b4OWC9k2srz9RbarNhLy2k3HAehPy++HiErDOC0xrvwkGWO9xZ+37zlr3G3B/nDOt8XxJpI/fcKJKmCMhZzJ+76z94hKw3gtM3gSzXNx3los3MC0TW6WQPiZ1RGR1eHFJRGQ63sC0TPdDDSvAWlZT8VMiIiIiIrIwbJVC+pjUERERERFZGLZKIX025i4AERERERER3T0mdURERERERBaMSR0REREREZEFY1JHRERERERkwZjUERERERERWTAmdVamqKgIX32+FP9u+xRffb4URUVF5i4SERERERHVICZ1VmTatGlwdnbGvLdnoOCPFMx7ewacnZ0xbdo0cxeNiIiIiIhqCOepsxLTpk3D/PnzDZbrdDp5+bx582q7WEREREREVMNYU2cFioqKsGDBgkpjFixYwKaYRDWgsLAQ770+BRfWvYn3Xp+CwsJCcxeJTMTm6paL+46ISIk1dSpWWKTD8UvXq4xb+elHEEIAAOq7e+CRAVH49YINHmlYil83r8fVK5chhEDcO3Px3NhXq9yev6cLnOy191x+ImsXERGBDRs2yM+/ydmPb774PwwePBjJycnmKxhVadq0aViwYIF87pz3Rwrmz34dU6ZMYasGleO+IyIyxKROxY5fuo7wj3dUGXfuyzVlD7R2yC/WYMPXnwEANgDQunoCWjtAV4yPl6/B+uLOVW4v5ZWH0b6J270UncjqlU/o9G3YsAERERFM7FSqoubqQgg2V1c57jsiIuM0QrrVdR/Jz8+Hm5sb8vLy4Orqau7iVMjUmrp+3R/AuTOnq4xr7NMMP2YcrDKONXW1r7CwEM+PexXJv+xDRM8HseKTj+Dk5GTuYt13TD3mCgsL8VBL7yrj9mTnmrQfeczVnqKiIjg4OFQZd/v2bdjb29dCichU3HfWIetsHsI/3sEbyBbImvedpeQGlWFNnYo52WtNOmiaNWlsUlLXrEljqzsIrQGb8KmHqbXjFzYuNGl7jzw5Ag0HTaoyzhp/IGubqQn5px/ONWl7k9+YhbETXqsyjgn5vTN13y1fskh+3KNXb9T3boa0w+fQq21jXM09jZ1pPwEAXpsVjxdemljptrjfiMjaMKmzAm3btsXu3bvl5127dsXAgQOxadMm7N27VxFH6sImfOri7+mClFcerjKuy4fRJm1PHNuJlFfWm/R36d6YmpCf+vAjk7a35MOPkGLTo8o4JuT3ztR998//rSh7YOeMnb9sB0QpACDlAACNDWDnBBQX4uNlK/BdaZdKt8X9RkTWhkmdFThx4oTi+d69exXJXEVxVHNMufNcWFhYYUIn2bBhA/YeO88mfLXE1NrxkuJik7ZXUlzMC8daYmpCHjTPxNFJiwtN2h4T8ntn6r7r86UO5wGg+CbcPTwxNnYG/B/sieP7fsGnCXNw5fIlAICnva7K7XG/EZG1YVJnBbKysqo1ju6dKXeeL23+2KRt9YoaBc8Br1QZxzvPtUej0VRrHN07UxNyDQRM6UiugeDxVEtM3XdtWgfifO5ZAMCJ48ewYsUK/PH9Cvj7++PE8WNwc3OT47jv1Ol/U1HswleOB/HOjFj2fySqJkzqrIDUcVyr1UIIgdLSUnmdjY0NNBoNdDqdSR3MqXqYcue59xdjcNOEbdW9+CdrDFTG3d0dFy5cMCmOiKpHQEAAUlNTAUBO4CSTJk1SxJH6TJs2DR988AF0Oh2AsqkoEt59E5MnT+aIpUTVgEmdFejYsSPOnj0rnyj16Sd4HTt2rMVS3d9MufOsKzFtslxdSRHvOqtM3bp1TUrq6tatWwuloTth6oDP9+HA0KpnZ2dXrXFUeyqaikKn03EqCqJqwqTOCjz11FPYuHGjSXGkHnXr1sXly5dNiiN18fDwwLFjx0yKI3XRaDQmJWxsOqs+vr6+1RpH98bUUUuLioqMJnT65s+fj2HjpprUFJP9x4mMY1JnBRo3blytcVQ7issNtuHj44OGDRviwoULOHPmTIVxZH7Ozs7VGke1x8HBAbdu3TIpjtRFv+VJdcTRvTF11NKrGetM2l7YqFjU7z60yjj2HycyjkmdFThw4AAAwNbWFiUlJQbrpeUHDhxAnz59art4VIHyF5ZnzpxRJHMVxZH5sQmf5WrSpAmOHz9uUhypy86dO6s1ju6NqaOW9ls9DvkmbM/lRBpS1lQ9gBj7jxMZx6TOCkg/YDqdDgMHDoSTkxOuXr2K+vXro7CwEJs3b5bjpkyZYs6ikh6t1rTmI6bGUe0pKjKtP6SpcVR7evbsaVJS17Nnz1ooDd2J3Nzcao2je2PqqKX5164qnvfv3x8zZ87E22+/jS1btijiWANHdPdszF0AundSn6vnn38ehw8fxvr167F9+3asX78ef/31F5577jlFHKkD+4dYrmbNmlVrHNUeTkdhuRo2bCg/trFRXr7oP9ePI/PTb8r877//4rXXXsPJkyfx2muv4d9//zUaR0R3jjV1VmDkyJH46quvkJSUhNzcXGRkZCA3Nxfe3t7o3r07vL295ThSD9bUWa4OHTpg7dq1JsWRukjN1asrjmrPlStX5McajQavvfYaXnjhBSxfvhwLFiwwGkfmp98M3cPDw2DaJWNxRHTnWFNnBR599FG4ubnh6tWr8PHxwQ8//ICrV6/ihx9+gI+PD65evQo3Nzc8+uij5i4q6XF0dKzWOKo9V69erTroDuKo9tSvXx8A4O/vb3S9n5+fIo7UQ3+0YJ1Oh7lz5yIwMBBz585VTOljyqjCVHv0E7fyg9hUlOCR+uh0OuzdlY4bh3/B3l3pRqfRIvPiEWQFtFotVqxYAQC4dOkSPvjgA7z00kv44IMPcOnSJQDAihUrWOOjMqYOgMKBUtRn37598uPyzfT0n+vHkTrExsYCAE6cOGG0CV9OTo4ijtRD/yKysuaXvNhUF1Mng+ek8eqVlJQEf39/PD/kcVz+YT6eH/I4/P39kZSUZO6ikR4mdVaO/ULUy9QLD16gqM/NmzcBAO7u7kbXS8ulOFKP3r17w9bWFkIIo7UGQgjY2tqid+/eZiohVSQ4OFh+XFmNj34cmd+MGTOqNY5qV1JSEqKionD69GnF8tOnTyMqKoqJnYqwT50V0Ol0GDduHABg4MCBaNmyJQoLC+Hk5ITs7Gxs2rQJ48aNw+DBg1lbpyIXLlxQPO/cuTMCAgJw7Ngx/PHHHxXGkfn5+vpi165duHLlCry8vDBy5Ei0aNECJ06cwFdffYWLFy/KcaQuOp3O6NQv+kpKSqDT6Xi+VJlRo0Yp+rK2bNkS7u7uuHLlCrKzsxVxpB7Xr1c9QfmdxNG9M3XieJ1Oh2efHQXAsM+j9PzZUc/Bv0svk86XnDi+ZjGpswJpaWm4ePEiWrdujUOHDmHTpk3yuubNm6N169b4+++/kZaWhscee8yMJSV95e80//HHH4pkrqI4Mr8RI0ZgzZo1AICCggIkJCTI65ycnBRxpC4ffvghgLL95OXlhVOnTsnrfH19cf78edy6dQsffvghpk6daq5ikhG9evWCRqORLyazs7MVyRxQ1jqlV69eZigdVcTLy6ta4+jemTpx/M0Tf+D69YJKY64X5KPPlCVwbtG5yu1x4viaxaTOCqSlpQEA/v77bzz++OP45ptv0L59e2RlZWHOnDn44Ycf5Dgmdeph6hQTnIpCfezt7eXH5fs83r5922gcqcOGDRsAAO+88w7Gjx+PqVOnIjs7Gy1btsT8+fPx8ccf47XXXsOGDRuY1KnMrl27qhwhUQiBXbt2MbFTEWm+Tjs7O5w8eRIPP/wwLl26BE9PT+zYsQN+fn4oLi7mvJ61yNSJ4197eSU2VRkFdC0+gLmvvGrS36Waw6TOCkg1OcHBwUhOTpY7jEvPe/Togd27d7PGR2UeeOABHDp0yKQ4UhepeSVg2CRF/zjTjyN1SUlJwfTp0+WmmFu3bsVnn32GkJAQM5eMKnL27FkAQKdOnXD58mWcOXNGXtesWTO4u7tj//79chypg9Sqobi4GD4+PvI588aNG4rna9aswYABA8xWzvuJqRPHnz52xKTtnT52hDVwKsCBUqyANChDYWGh0fVVDepA5mHqvIGcX1B9pLkf4+Pj0bx5c8U6X19fzJkzRxFH6jF48GAAZS0Xyg9CpNPp8OuvvyriSD2k0ZzHjx+PY8eOYeHChXj55ZexcOFCZGdnY+zYsYo4Ugf9vnIV9csqH0fqoH+TsrKRnllpoA6sqbMCDRs2BFA2We4TTzyBAQMGwMnJCYWFhdi8eTMOHjyoiCN1yMrKMjmOdy/VJTQ0VB4sJTs7Gzt37kRubi68vb3Ro0cPREVFwc/PD6GhoeYuKpUzbtw4TJs2DUDlF5jS4FOkHp6engCApUuX4p133lGMxrdw4UL5xqUUR+ogtRoyJY7Uxc7OTn5c2flSP47Mh0mdFWjSpIn8eNOmTdi4caP8XP9Oin4cmd+uXbuqNY5qj1arRUJCAqKjoxEVFYW4uDiEh4cjKysLUVFRSElJQWJiIkdPVKHPPvvM5DjOVacu0m/Y/v37Deap++eff+Qkj7916qXRaNC7d2+EhYUhNTUVP/30U5X9JMl8iouLqzWOahabX1qB0NBQedQoBwcHxTpHR0cAZaNKsdZAXVxc/tdhWNpPxp7rx5F6REZGIjExEX/++SdCQkLg6uqKkJAQZGVlITExEZGRkeYuIhmRnp5erXFUe0JCQuRkrvwgRNJvn42NDftFqsyOHf8bZVEIgW3btmHGjBnYtm2bIqHTjyN1MDXhZmKuDkzqrIR0QD322GNYvHgxli9fjsWLF+PRRx81c8moIjExMQDKan3KN41t2LChXMsjxZH6REZG4tixY0hNTcWaNWuQmpqK7OxsJnQqduPGDQBAixYtcP36dbz00kvo27cvXnrpJVy/fh1+fn6KOFKP9PR0ue9O+f49ktLSUibkKnP06NFqjaPaY+qIpBy5VB2Y1FmB9PR0XLp0CfHx8Th06BBefvllvPDCC3j55Zdx+PBhzJkzBxcvXuQPncpId5p1Oh1yc3Px2muv4ejRo3jttdeQm5srD+LAYfGJqo+HhwcAIDc3F23btsWSJUuwdetWLFmyBG3btkVubq4ijtRDmr7HGP0kr7I4qn116tSRH5f/PdN/rh9H6uDq6lqtcVSzmNRZAeki5OWXXzZaa/Dyyy8r4kgdzp8/Lz8uKirC3LlzERgYiLlz5yrueunHkbokJSUhICAAYWFhiImJQVhYGAICApCUlGTuolEFWrRoAaBstODz588rbqZIE4/rx5F6SLV03bt3R15enuK37tq1a/JAGxyJT12aNm0qPy5fo6P/XD+O1MHU/qnsx6oOTOqsgDRselZWFrRaLXr16oXhw4ejV69e0Gq18iiLHF5dXaRht8eNG4dmzZop1jVv3pzDc6tcUlISoqOjERQUhIyMDBQUFCAjIwNBQUGIjo5mYqdSPXv2lB8XFxcrbqbod/bXjyN1aNCgAYCyprHGfuukJrNSHKlD69atqzWOao+ptaesZVUHJnVWQBpefc6cOQZ3KEtLSxEfH8/h1VVIGnY7JyfHaA3rqVOnFHGkHjqdDrGxsQgPD0dycjKCg4Ph4uIiD90dHh6OKVOmGMyDRuanPyJp+WG49ZuCceRS9WnUqBEA4ODBgxg8eLDiZsrgwYPx559/KuJIHc6dO1etcVR7/vnnn2qNo5rFpM4KSMOrp6SkICIiQvFDFxERgZSUFCxYsIAXKSojNVfYvHkzoqKi4ODggPDwcDg4OCAqKgqbN29WxJF6pKenIycnBzNmzDAYWt3GxgZxcXE4efIk+7Gq0MWLF+XH5c+J+s/140gd9M+FP//8s2LU2e3btxuNI/OTBnKrW7eu0fXSCM8cQVF9TO3Tz77/6sB56qyENLx6bGysYjhnPz8/Dq+uUlINq4eHBw4ePKjYb76+vujSpQuuXLnCGlYVkvqntm/f3uh6aTn7saqP1Aw9Pj4en332GXJycuR1DRs2xOjRozFjxgw2V1ch/XPmpUuX5NYMQNm0PR4eHjxnqpCvry8AoKCgAAMGDICTkxOuXbuGevXqobCwUL6BKcWReujftOzfvz9u3ryJy5cvw8PDA87OztiyZYtBHJkPkzorEhkZicGDByM9PR25ubnw9vZGaGgoa+hUSn8C6/Lz1F24cAGnTp3iBNYqpd+PtWvXrgbHHPuxqpeUGOzatQtHjx7Fzp075X3Xo0cPREVFsbm6SumfMwcNGoSpU6fCyckJhYWF2LJlCzZu3Mhzpgo9+uijmDNnDgAgNTVVHowIAJycnBRxpC768+RKCVxVcWQ+TOqsjNR5nCyHsSYnGo2GTVFUTEoMXnnlFYMag+bNm8PT05OJgUrpJwZRUVGIi4tDeHg4srKyEBUVhZSUFCYGKqbfKiUlJUVezlYp6tWrVy94eXnh4sWLuH37tmKdlOB5eXnx2kWFHnnkEWzYsMGkODI/1pcSmYk02Mbjjz9udHjuxx9/nINtqJRWq8VTTz2F33//Hbdu3cKyZctw7tw5LFu2DLdu3cLvv/+O6OhoJgYqJSUGf/75p6JfVlZWFhMDCxAZGWl0cCnuN3XSarV49tlnARhOGi89f/bZZ3m+VKFx48ZVaxzVLI24D6sD8vPz4ebmhry8PE6YSGaTlpaGsLAwZGRkyPMr6cvIyEBISAhSU1N5B1NldDodAgIC4OHhgcuXLyv6Zfn5+cHd3R1XrlxBdnY2L1RUTKfTsbk6UQ3TP1+Wb9kg9ZHk+VKdpOuUqljDdYo15AZsfklkJhxsw3JJo1+uXbvWaJ+6PXv2ICQkBOnp6Rb/Q2fN2FydqObxfGm5zpw5A6BsdMvyE8frL5fiyLyY1BGZif5gG8Zq6jjYhnrpJ+TGEgMm5EREZXi+tFy//fYbAKCoqAiDBg1CQEAACgsL4eTkhGPHjmHjxo1y3MiRI81ZVAL71BGZDSeNt1z6CbkxTMiJiMrwfGm5pGsTDw8PrF+/HhEREejVqxciIiKwfv16eHh4KOLIvJjUEZkJJ423XEzIiYhMw/Ol5ZLmn7t8+TLq16+PsLAwxMTEICwsDPXr18fly5cVcWRe3AtEZsRR+CwTE3IiItPwfGm5unXrJj8uLCxUrNN/rh9H5sM+dURmxknjLZP+fFkhISHycs6XRUSkxPOlZWrcuLH82N7eHg8//DAaN26Mc+fOYceOHfLgKfpxZD6c0sBChy0lInXgsPhERKbh+dKybNu2DX379oWtrS1KSkoM1kvLt27dij59+pihhNXHGnID1tQREd0DDotPRGQani8ty6+//goAKCkpgaenJ9q1awchBDQaDQ4dOoRLly7JcZae1FkDJnVERERERKQgDWzj7e2NCxcuIC0tTV6n1Wrh7e2N3Nxcjn6pEhwohYiIiIiIFNzd3QGUzSFob2+vWGdnZyfPLSjFkXkxqSMiIiIiIgVPT0/5sZubG5YtW4Zz585h2bJlcHNzMxpH5sPml0REREREpCD1mQPKBhIZM2aM/NzZ2dloHJkPkzoionvA0dyIiMgaXblyBQAQGBiI27dv49SpU/I6Ly8v2Nvb4+jRo3IcmReTOiKiu5SUlITY2Fjk5OTIy3x9fZGQkMB5l4iIyKLZ2JT10jp69CgcHR0V686fP49bt24p4si8uBeIiO5CUlISoqOjERQUhIyMDBQUFCAjIwNBQUGIjo5GUlKSuYtIRER01/Snn6hsWmtOU6EOnHzcQicYJCLz0el0CAgIQFBQEJKTkxV3KUtLSxEREYGsrCxkZ2ezKSYREVmkoqIiODk5obS0FE5OTigsLJTXSc9tbGxQWFhoMDqmpbGG3IA1dUREdyg9PR05OTmYMWOGQbMTGxsbxMXF4eTJk0hPTzdTCYmIiO7Nrl275Dno9BM6/eelpaXYtWtXrZeNDNVoUnf16lWMHDkSbm5ucHNzw8iRI3Ht2rVKXyOEwKxZs9C4cWM4OTmhV69eOHTokCKmV69e0Gg0in/Dhg2rwXdCRPQ/0tw87du3N7peWi7FERERWZqzZ8/Kj8v3qdN/rh9H5lOjSV1MTAwyMzOxZcsWbNmyBZmZmRg5cmSlr5k3bx4++OADLF68GHv37kWjRo3Qp08fFBQUKOJGjx6N3Nxc+d9nn31Wk2+FiEjm7e0NAMjKyjK6XlouxREREVma8+fPAygbAMzLy0uxzsvLC82bN1fEkXnVWFL3119/YcuWLfi///s/dO/eHd27d8fnn3+OlJQUHDlyxOhrhBBYtGgRXn/9dURGRqJ9+/b44osvcPPmTaxZs0YR6+zsjEaNGsn/9CdBJCKqSaGhofD19cWcOXPkpimS0tJSxMfHw8/PD6GhoWYqIRER0b35999/AQA5OTl44IEHFIOCPfDAA/IUB1IcmVeNJXUZGRlwc3NDt27d5GXBwcFwc3OrsO3tyZMncf78efTt21de5uDggJ49exq8ZvXq1fDw8EC7du0wZcoUg5o8fbdv30Z+fr7iHxHR3dJqtUhISEBKSgoiIiIUP3QRERFISUnBggULOEgKERFZDSGE/I/Up8bmqTt//rxBVS1QVl1bUTWttLxhw4aK5Q0bNlRMePj000/Dz88PjRo1QlZWFuLi4nDgwAFs27bN6Hbj4+Px9ttv3+1bISIyEBkZicTERMTGxiIkJERe7ufnh8TERM5TR0REFs3d3R0A0Lx5c/z555+K3zpfX180b94cp06dkuPIvO44qZs1a1aVCdLevXsBABqNxmCdEMLocn3l15d/zejRo+XH7du3R8uWLdGlSxf88ccf6Ny5s8H24uLiMHnyZPl5fn4+fHx8Ki0DEVFVIiMjMXjwYKSnpyM3Nxfe3t4IDQ1lDR0REVk8qZLl1KlTGDRoECIiIlBYWAgnJyccO3YMGzduVMSRed1xUvfyyy9XOdKkr68vDh48iAsXLhisu3TpUoU7v1GjRgDKauz0Bxi4ePFipV+Yzp07w87ODtnZ2UaTOgcHBzg4OFRaZiKiu6HVajnxKhERWZ0mTZrIjzdt2qRodqlf2aIfR+Zzx0mdh4cHPDw8qozr3r078vLysGfPHjz00EMAgN9++w15eXmK6lt9UpPKbdu2oVOnTgDKJj785ZdfMHfu3Ar/1qFDh1BcXMyR5oiIiIiIqkFoaCg8PT1x6dIlODg44NatW/I6R0dHFBYWwsvLi4OCqUSN9alr06YN+vfvj9GjR8vTDYwZMwbh4eFo1aqVHNe6dWvEx8fjySefhEajwcSJEzFnzhy0bNkSLVu2xJw5c+Ds7IyYmBgAwPHjx7F69WoMHDgQHh4eOHz4MGJjY9GpUyf06NGjpt4OEREREdF9RaqRe+yxxzBgwAA4OTmhsLAQmzdvlptfkjrUWFIHlI1Q+eqrr8qjWT7xxBNYvHixIubIkSPIy8uTn0+bNg2FhYUYP348rl69im7dumHr1q2oW7cuAMDe3h4///wzPvzwQ1y/fh0+Pj4YNGgQZs6cyX4sRERERETVID09HRcvXkR8fDw+++wzRRLn5+eHOXPmYMaMGUhPT2c3BBXQiPtwXNL8/Hy4ubkhLy8Prq6u5i4OEREREZGqrF27FjExMSgoKICTk5PBoGA3b96Eq6sr1qxZg+HDh5u7uPfEGnKDGq2pIyIiIiIiyyONVZGVlYXg4GCD2risrCxFHJlXjU0+TkRERERElik0NBS+vr6YM2cOSktLFetKS0sRHx8PPz8/DpSiEkzqiIiIiIhIQavVIiEhASkpKYiIiEBGRgYKCgqQkZGBiIgIpKSkYMGCBRzTQiXY/JKIiIiIiAxERkYiMTERsbGxiinJ/Pz8kJiYiMjISDOWjvRxoBQL7QxJRERERFQbdDqdwUAp1lRDZw25AWvqiIiIiIioQlqtltMWqBz71BEREREREVkwJnVEREREREQWjEkdERERERGRBWNSR0REREREZME4UAoRERER1ThrH0GRyJxYU0dERERENSopKQkBAQEICwtDTEwMwsLCEBAQgKSkJHMXjcgqMKkjIiIiohqTlJSE6OhoBAUFISMjAwUFBcjIyEBQUBCio6OZ2BFVA04+bqETDBIRERGpnU6nQ0BAAIKCgpCcnAwbm//VJ5SWliIiIgJZWVnIzs5mU0wyG2vIDVhTR0REREQ1Ij09HTk5OZgxY4YioQMAGxsbxMXF4eTJk0hPTzdTCckUOp0OaWlpWLt2LdLS0qDT6cxdJCqHSR0RERER1Yjc3FwAQPv27Y2ul5ZLcaQ+7A9pGZjUEREREVGN8Pb2BgBkZWUZXS8tl+JIXdgf0nKwT52FtpslIiIiUjv2qbNc99O+s4bcgDV1RERERFQjtFotEhISkJKSgoiICEVtT0REBFJSUrBgwQKLTwqsEftDWhZOPk5ERERENSYyMhKJiYmIjY1FSEiIvNzPzw+JiYmIjIw0Y+moIuwPaVmY1BERERFRjYqMjMTgwYORnp6O3NxceHt7IzQ0lDV0KqbfHzI4ONhgPftDqgv71Flou1kiIiIioprCPnWWhX3qiIiIiIhIgf0hLQubXxIRERERkQH2h7QcbH5poVWsRERERES1QafTWXV/SGvIDVhTR0REREREFdJqtejVq5e5i0GVYJ86IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgNZrUXb16FSNHjoSbmxvc3NwwcuRIXLt2rdLXJCUloV+/fvDw8IBGo0FmZqZBzO3bt/HKK6/Aw8MDderUwRNPPIF//vmnZt4EERERERGRitVoUhcTE4PMzExs2bIFW7ZsQWZmJkaOHFnpa27cuIEePXrg/fffrzBm4sSJ+O677/DNN99gx44duH79OsLDw6HT6ar7LRAREREREamaRgghamLDf/31F9q2bYvdu3ejW7duAIDdu3eje/fu+Pvvv9GqVatKX5+TkwM/Pz/s378fHTt2lJfn5eXB09MTX331FYYOHQoAOHfuHHx8fLBp0yb069evyrLl5+fDzc0NeXl5cHV1vfs3SUREREREFs0acoMaq6nLyMiAm5ubnNABQHBwMNzc3LBr16673u6+fftQXFyMvn37yssaN26M9u3bV7jd27dvIz8/X/GPiIiIiIjIGtRYUnf+/Hl4eXkZLPfy8sL58+fvabv29vaoX7++YnnDhg0r3G58fLzcr8/NzQ0+Pj53/feJiIiIiIjU5I6TulmzZkGj0VT67/fffwcAaDQag9cLIYwuv1eVbTcuLg55eXnyvzNnzlT73yciIiIiIjIH2zt9wcsvv4xhw4ZVGuPr64uDBw/iwoULBusuXbqEhg0b3umflTVq1AhFRUW4evWqorbu4sWLCAkJMfoaBwcHODg43PXfJCIiIiIiUqs7Tuo8PDzg4eFRZVz37t2Rl5eHPXv24KGHHgIA/Pbbb8jLy6sw+TLFgw8+CDs7O2zbtg1DhgwBAOTm5iIrKwvz5s276+0SERERERFZohrrU9emTRv0798fo0ePxu7du7F7926MHj0a4eHhipEvW7duje+++05+/u+//yIzMxOHDx8GABw5cgSZmZlyfzk3Nze88MILiI2Nxc8//4z9+/djxIgRCAoKQu/evWvq7RAREREREalSjc5Tt3r1agQFBaFv377o27cvHnjgAXz11VeKmCNHjiAvL09+/v3336NTp04YNGgQAGDYsGHo1KkTPv30Uzlm4cKFiIiIwJAhQ9CjRw84Ozvjhx9+gFarrcm3Q0REREREpDo1Nk+dmlnDXBRERERERHTvrCE3qNGaOiIiIiIiIqpZTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOqIiIiIiIgsGJM6IiIiIiIiC2Zr7gIQERERkfXT6XRIT09Hbm4uvL29ERoaCq1Wa+5iEVkF1tQRERERUY1KSkpCQEAAwsLCEBMTg7CwMAQEBCApKcncRSOyCkzqiIiIiKjGJCUlITo6GkFBQcjIyEBBQQEyMjIQFBSE6OhoJnZE1UAjhBDmLkRty8/Ph5ubG/Ly8uDq6mru4hARERFZJZ1Oh4CAAAQFBSE5ORk2Nv+rTygtLUVERASysrKQnZ3NpphkNtaQG7CmjoiIiIhqRHp6OnJycjBjxgxFQgcANjY2iIuLw8mTJ5Genm6mEhJZByZ1RERERFQjcnNzAQDt27c3ul5aLsUR0d1hUkdERERENcLb2xsAkJWVZXS9tFyKI6K7w6SOiIiIiGpEaGgofH19MWfOHJSWlirWlZaWIj4+Hn5+fggNDTVTCYmsA5M6IiIiIqoRWq0WCQkJSElJQUREhGL0y4iICKSkpGDBggUcJIXoHnHycSIiIiKqMZGRkUhMTERsbCxCQkLk5X5+fkhMTERkZKQZS0dkHTilgYUOW0pERERkSXQ6HdLT05Gbmwtvb2+Ehoayho5UwRpyA9bUEREREVGN02q16NWrl7mLQWSV2KeOiIiIiIjIgjGpIyIiIiIismBM6oiIiIiIiCwYkzoiIiIiIiILxqSOiIiIiIjIgtVoUnf16lWMHDkSbm5ucHNzw8iRI3Ht2rVKX5OUlIR+/frBw8MDGo0GmZmZBjG9evWCRqNR/Bs2bFjNvAkiIiIiIiIVq9GkLiYmBpmZmdiyZQu2bNmCzMxMjBw5stLX3LhxAz169MD7779fadzo0aORm5sr//vss8+qs+hEREREREQWocbmqfvrr7+wZcsW7N69G926dQMAfP755+jevTuOHDmCVq1aGX2dlPTl5ORUun1nZ2c0atSoWstMRERERERkaWqspi4jIwNubm5yQgcAwcHBcHNzw65du+55+6tXr4aHhwfatWuHKVOmoKCgoMLY27dvIz8/X/GPiIiIiIjIGtRYTd358+fh5eVlsNzLywvnz5+/p20//fTT8PPzQ6NGjZCVlYW4uDgcOHAA27ZtMxofHx+Pt99+22A5kzsiIiIiovublBMIIcxckrt3x0ndrFmzjCZI+vbu3QsA0Gg0BuuEEEaX34nRo0fLj9u3b4+WLVuiS5cu+OOPP9C5c2eD+Li4OEyePFl+fvbsWbRt2xY+Pj73VA4iIiIiIrIOBQUFcHNzM3cx7sodJ3Uvv/xylSNN+vr64uDBg7hw4YLBukuXLqFhw4Z3+mcr1blzZ9jZ2SE7O9toUufg4AAHBwf5uYuLC86cOYO6devec4KpRvn5+fDx8cGZM2fg6upq7uKQibjfLBf3neXivrNc3HeWifvNclnzvhNCoKCgAI0bNzZ3Ue7aHSd1Hh4e8PDwqDKue/fuyMvLw549e/DQQw8BAH777Tfk5eUhJCTkzktaiUOHDqG4uBje3t4mxdvY2KBp06bVWgY1cnV1tbqD7n7A/Wa5uO8sF/ed5eK+s0zcb5bLWvedpdbQSWpsoJQ2bdqgf//+GD16NHbv3o3du3dj9OjRCA8PV4x82bp1a3z33Xfy83///ReZmZk4fPgwAODIkSPIzMyU++EdP34cs2fPxu+//46cnBxs2rQJTz31FDp16oQePXrU1NshIiIiIiJSpRqdp2716tUICgpC37590bdvXzzwwAP46quvFDFHjhxBXl6e/Pz7779Hp06dMGjQIADAsGHD0KlTJ3z66acAAHt7e/z888/o168fWrVqhVdffRV9+/bFTz/9BK1WW5Nvh4iIiIiISHVqbPRLAGjQoAG+/vrrSmPKjzIzatQojBo1qsJ4Hx8f/PLLL9VRPKvl4OCAmTNnKvoRkvpxv1ku7jvLxX1nubjvLBP3m+XivlM3jbDksTuJiIiIiIjuczXa/JKIiIiIiIhqFpM6IiIiIiIiC8akjoiIiIiIyIIxqSMiIiIiIrJgTOosRFpaGjQaDa5du2buotAd4H4jIiIioprGpE5Fdu3aBa1Wi/79+5utDIcOHUJUVBR8fX2h0WiwaNEis5XFUqhhv33++ecIDQ1F/fr1Ub9+ffTu3Rt79uwxW3kswcWLF/Hiiy+iWbNmcHBwQKNGjdCvXz9kZGQAgHwMaDQaODs7o3379vjss8/k10sJe/l/np6eiu2sX78ebdu2hZ2dHVxcXODi4gJHR0cEBQUhISEBOp0OS5cuhZ+fHxwdHRXbcnFxQYcOHbBq1SqD8ut0OixcuBAPPPAAHB0dUa9ePQwYMAA7d+40iIuPj0fr1q3h5OSEBg0aIDg4GCtXrqzws6novb3xxhsAgFWrVqFevXpGX1uvXj1FeTUaDRwdHXHq1ClFXEREhGL6mlGjRsl/x87ODg0bNkSfPn2wYsUKlJaWVlhWAJg1axY0Go3RY3DevHnQaDTo1auXwbp//vkH9vb2aN26tdHtmlp2SVXngqKiIsyfPx+dO3dGnTp14Obmhg4dOuCNN97AuXPn5Dj9z8LYPzs7O9jZ2UGj0Rh8N8aMGSPH6a/T/z7r/3v//feRmZkpP/fy8sKmTZsUN6M6duyIWbNmIScnp9JyaTQazJo1S/6bhw4dwpAhQ+Dp6QkbGxvUq1cPb775Jm7evKkos1S2uXPnKpZPnDixyr/XtWtXTJ48GRqNBvb29njggQewYcMGAEBqairCw8Ph6ekJR0dH+Pv7Y+jQofj111/lv7Fw4cIKt33+/HkAwFtvvaVYbmNjg8aNGyMpKcnofpbMmjULDzzwgLzP7e3todFo4O7urtjn0ufft29fxevXr1+PXr16wc3NDXXq1EHDhg3h4eEBBwcHeHh4IDo6GocOHTL4m/pldXNzQ2hoaIVTQc2ZMwdarRbvv/++wbrKjnNjpPNG/fr1cevWLcW6PXv2yGUyplWrVrC3t8fZs2cN1vXq1QsajQbffPONYvmiRYvg4uKieL/u7u7o06cPXF1d0aBBAxQWFgJAhfu4Tp06cHZ2ho+Pj8F22rRpY/Q1Njb/u3SWjlUHBwe88sorEELI59z69evL66RzbkXHtnTO0D/37t69W3FjeOLEiejYsWOVx4RGo6nwePfw8EDHjh2N7oNVq1bB1tYWEydONFin0WiQnJwMoOy4GjhwINzd3WFrawuNRoNBgwbJ+66qsknnTv1t6hs1ahQiIiIMlld0fh02bBgGDBigWLZ582ZoNBq8+eabiuXvvPMOGjdurFhm7Bh44YUXEBQUhKKiIkXspk2bYGdnh99//92gfEDZd1X/86vsu+vr66tYVlRUhHnz5qFDhw5wdnaGh4cHevTogZUrV6K4uNjo3yuPSZ2KrFixAq+88gp27NiB06dPm6UMN2/eRIsWLfD++++jUaNGZimDpVHDfktLS8Pw4cORmpqKjIwMNGvWDH379jX6A0lloqKicODAAXzxxRc4evQovv/+e/Tq1Qv//vuvHDN79mzk5ubi4MGDiIiIwNixY7Fu3TrFdh588EF07twZiYmJ2LNnj2I7GRkZGDp0KDp37gwAaNu2LW7duoW1a9diwoQJeO+999CjRw9MmDABr7/+Ovbv3w8AsLe3x969e3HgwAEMHToUzz33HH788Uf5bwohMGzYMMyePRuvvvoq/vrrL/zyyy/w8fFBr169FD+Us2bNwqJFi/DOO+/g8OHDSE1NxejRo3H16tUqP6MjR44gNzdX/jd9+vS7+qw1Gg3eeuutKuP69++P3Nxc5OTkYPPmzQgLC8OECRMQHh6OkpKSSl/r7e2N1NRU/PPPP4rlK1euRLNmzYy+ZtWqVRgyZAhu3rxpkAzfadmBys8Ft2/fRp8+fTBnzhyMGjUKv/76K/bt24d58+bhypUr+PjjjxXx0mch/RsyZAgee+wx5Obm4sSJE6hXr57BRcvNmzexZs0aODo6Ki48JR07dkS/fv0U233llVcUMQUFBQbfcYmPjw9yc3MRFRUFf39/PPnkk2jZsiW2bNmCd999Fx9++CGmTJkCANi9eze6deuGoqIibNy4EQ899BB69OiBL774An369DG4WAKAL7/80mBZ9+7dkZubi8jISNjZ2cHBwQGbNm3Cnj17sHLlSuTl5cmf3eLFi/HBBx+gTp06WLp0KR577DG4u7tj3bp1+Ouvv/DVV18hJCQEkyZNAgB89tlniI2Nlf/2nj17kJSUhOHDh2PMmDHw8vKCEAKJiYmwsbHBggULkJGRgeXLl+P27duIiooyelEqKSkpwYkTJ+R9PmrUKNjb2+PatWs4fvy4wT7X9/rrr2Po0KHo2rUrNmzYgDZt2qC0tBT+/v6YPn06Nm3aBJ1Oh27dumH37t2K17Zr107evxkZGWjZsiXCw8ORl5dn8HdWrlyJadOmYcWKFRWW5U7VrVsX3333nWLZihUrKjwOd+zYgVu3buGpp54yegMLABwdHfHGG28YvbjVP1Z+/vlnXL58GUVFRWjbtq0i8V65ciVyc3Mxfvx42NjYYMyYMdiwYQMOHTokfw9CQ0ORm5uLtLQ01K1bFwDw559/ytuPjY1F27Zt5W3+888/crIi3UCSzrlFRUVo3Lgx+vXrpzjn9u/fH0OGDFEci2vXrlW8JwcHB7z22msVfsYZGRk4cOAAtm/fjpCQEABlSY+0vaFDhyq+B9K/559/vsJtmuKzzz5D79690ahRI6xevRrOzs6IiYlBZmYmEhISAEDx9xYtWgRXV1fFsg8//PCu/nZF59ewsDDs2LFD8RuRlpYGHx8fpKamKraRlpaGsLAwxTJjx8CiRYtQUFCAmTNnysuuXbuGMWPG4PXXX0eXLl1MLndl311JUVER+vXrh/fffx9jxozBrl27sGfPHrz00kv4+OOPDW7eVEiQKly/fl3UrVtX/P3332Lo0KHi7bffVqxPTU0VAMTVq1flZcuWLRNNmzYVTk5OIiIiQiQkJAg3NzfF65YuXSpatGgh7OzsRGBgoPjyyy9NLlPz5s3FwoUL7+FdWT817jchhCgpKRF169YVX3zxxd2+Nat29epVAUCkpaVVGGPs+9+yZUsxbNgwIcT/9m1l2xkyZIjo3bu3cHd3F5GRkUIIIfr16ydv4/vvvxcARO/eveXXABBNmjQR06dPl5c1aNBATJ48WX7+zTffCADi+++/N/ibkZGRwt3dXVy/fl0IIUSHDh3ErFmzKvs4DBj73upbuXKlwXdW4ubmJlauXKl4P1OnThU2Njbi4MGD8vLBgweLZ599Vn7+7LPPisGDBxts7+effxYAxOeff15heWfOnCk6dOggwsPDxbvvvisv37lzp/Dw8BDjxo0TPXv2VLymtLRUtGjRQmzZskW89tpr4rnnnjPYrqllF6Lqc0F8fLywsbERf/zxh9H3UFpaKj829lmUX9a8eXPRoUMHAUCcPn1aCCHEqlWrhJeXlxgzZowAIObPn6+I79q1q9HPeP/+/fJ3eerUqcLR0VGx/zt06CBmzpwpx7u5uYlVq1bJn7ux99K2bVvRpUsXodPphBBC9OzZU0yYMEFkZmYKjUYj3n//fUXZAAhbW1uxceNGefmECRNEz549xbp16wQA8corrxh877788kvh7e0tAIjvvvtOCCHEqVOnhJ2dnZg0aZJB2aTynTlzRtjb24uoqCij33XpuXSs+fn5KdZ/9NFHAoCoX7++fKyV99hjjwkA8j6XPq8+ffqIp556St7n0uffp08fIYQQv/32mwAgFi1aJIQQ4v333xcajUZkZmYqyqbT6USXLl1E27Zt5W0Z2yenT58WAMSePXsUy9PS0kSTJk1EUVGRaNy4sfjll18U6ys7zo2RzhtvvPGG4px28+ZN4ebmJt58801h7LJz1KhRYvr06WLz5s2iRYsWimNBiLLvznPPPSc8PDzEkiVL5OULFy4UderUMfhOd+zYUQAQ8+bNE2FhYUIIIX8/MjIyBADx4YcfGi37v//+Ky+bPXu2wXlW//NdvXq1sLGxEe3btxdBQUHi66+/FkKUHS+RkZEiKCiowvNcRec7qRxjx44V9vb2Ij4+Xv5+TpgwQT7m9b+vy5cvFwDEmjVrjJZTX0XLhSjb31qtVkyYMMFgnXQOtre3FxMnThRClJ1vgoODxbVr14STk5M4cOCA0W1W9B3SP2b1GftsKju/HjlyRAAQGRkZ8rKHHnpILFmyRNjb24sbN24IIYS4ffu2cHJyUvyWVHYMpKamCjs7O7F79265XF26dBHFxcVG348Q/zvP6T+v6LvbvHlz+fncuXMr/H0oKiqq8BxTHmvqVGLdunVo1aoVWrVqhREjRmDlypUQlcwLv3PnTowdOxYTJkxAZmYm+vTpg/fee08R891332HChAmIjY1FVlYWXnzxRTz33HMGdy7o7ql1v928eRPFxcVo0KDBXb83ayY1g0xOTsbt27dNfp2jo6PB3TaNRoOBAwciLCzMYB9lZGSgadOmuHLlilyD0a9fP+zatUt+DAD5+fmK13Xs2BG7du2CTqfDt99+i3///Rd2dnby+jVr1iAwMBCPP/64QRljY2Nx5coVbNu2DQDQqFEjbN++HZcuXTL5fVa3kJAQhIeHIy4u7o5f++ijj6JDhw5VNnUDgOeff15xp3/FihV4+umnYW9vbxCbmpqKmzdvonfv3hg5ciS+/fZbFBQU3HXZqzoXrF27Fn369EGnTp2Mvr6iZmmVcXV1hb29Pb744gsAZc2w8/PzMW7cONja2iI9Pf2Otzl8+HA0adKk0phGjRph06ZNFR47mZmZOHz4MCZPnmxQY9ihQwf07t3boGYCKDse4uLiDJrbrl69Gq1atZJrvPX17t3b4PhZv349iouLMW3aNKPl02g0+O9//4uioiIMHz7caIzU7HDNmjVo0KABXF1d5XXnz59HUlIStFotrl69Kh9r5WVlZaFu3boG+/z999/H+vXrK2zCtXr1ari4uGD8+PFyGfr06YMOHTooymZjY4NJkybh8OHDOHDggNFt3b59W25G2apVK8W65cuXY/jw4bCzs8Pw4cOxfPlyo9u4UyNHjkR6erpcm7J+/Xr4+voa3X8FBQX473//ixEjRqBPnz64ceMG0tLSDOJcXV0xY8YMzJ49Gzdu3Kjwbx88eBAHDx5EixYt8Nxzz2HXrl04ceKEvH7t2rWKz7Y86Ti8efMmduzYAQCKc69kyZIleO655xASEgJ/f38899xzcpN26Zw7ZMiQCstZlWbNmmHs2LH4/PPPK427efMmNm/eXGE5q9OuXbtQVFQkH1fLly/HiBEj4ObmhoEDB2L9+vU19rcrO78GBgaicePG8u9vQUEB/vjjDzz11FPw9/eXW2Hs3r0bhYWFipq6yo6BXr16Yfz48Xj22Wfx3//+F99++y2+/PJL2Nra3lHZTfnurl69Gr179zb6+2BnZ4c6deqY9sdMSv2oxoWEhMh35YqLi4WHh4fYtm2bvL78nfOhQ4eKQYMGKbbx9NNPK+6IhISEiNGjRytinnrqKTFw4ECTysSauqqpcb8JIcT48eOFv7+/KCwsvMN3dP9ITEwU9evXF46OjiIkJETExcUp7jTqf/+Li4vFypUrBQCxdOlSIYQQf//9t1i2bJmYN2+eqFu3rtBqtQKAePrpp+Xt2NnZiWHDhim+A6tXrxb29vZCCCHOnj0rAAhfX1/57+L/11hoNBp5mw0aNBDZ2dlyTOvWrY3e5RVCiH///VcAEHPnzhVCCHHo0CHRpk0bYWNjI4KCgsSLL74oNm3aVOlnI31v69Spo/h3+fJlIcSd19R999134tChQ0Kr1Ypff/1VCGF6TZ0QZcdNmzZtKiyvdPe5qKhIeHl5iV9++UW+s3vgwAG5xkdfTEyMfMdZiLK76+VrA00tuxBVnwscHR3Fq6++qnhNRESE/Nl2795d8VlotVrFZ29raytat24txzRq1EjUqVNH9OjRQ/j7+4sjR44IrVYrgoKChBBCODs7iwYNGsg1Zc2bNxc2NjYG201NTVXU1O3fv1/MnTtXUcNUvqbul19+EU2bNhU2NjbCyclJTJw4UezYsUNeL9Vu7d+/X16mfwf71VdfFU5OTvI6qaZu1apVom7dunLLBGm/tWnTRjzxxBMG37sbN26Idu3aidGjRwsA4oknnhClpaVi7NixwtXVVdStW1ckJiYKIcqOd/33PWTIEOHq6lrhdz0wMFAIUXastWrVStjY2Ig6deoIJycn+bOSakSlY608W1tb4eHhIT+fOXOmcHV1lfenq6urEMKwpm7AgAHigQceUHx3jNWeCCHEH3/8IQCIdevWyX9DKmudOnWERqMRrq6uYvPmzYrX5eXlCWdnZ7n2b//+/cLZ2Vnk5eXJMXdbU3f16lUREREh16aEhYWJDz/8UHz33XcGNXXLli0THTt2lJ9PmDBBPP3004oY6btz69Yt0bx5czF79mwhxP9q6vS/0wCEo6Oj2LdvnxCi7Fh9/fXX5eVarVbx+Rw/flwkJCTItdPSd0Gj0cjPnZ2d5Xg7Ozt53fLly+Xz1qVLl4SDg4M4efKk2LZtm9BoNMLGxka4urqKwMBA+ZwrHdu2trby9gEIe3t7UadOHbkcc+bMERcvXpS/b+Vr6vT3r7SNixcvyp9Z+e+B9K9Tp06V1tQBEHZ2dgavAyD69+8vf2ePHj0q7OzsxKVLl4QQQnz33XfCx8dHPt+Y8h2S9kn5v2Vra2vwW1DV+TUmJkb07dtXCCHExo0bRdu2bYUQQowdO1bMmDFDCCHE22+/LXx8fOTXmHIM3Lx5U7Ru3VrY2NiYdD1srKauou+ufk2dk5OTwe/D3WBNnQocOXIEe/bswbBhwwAAtra2GDp0aKVt3I8cOYKHHnpIsaz887/++gs9evRQLOvRowf++uuvair5/U2t+23evHlYu3YtkpKS4OjoaNJr7kdRUVE4d+4cvv/+e/Tr1w9paWno3Lmzoqbntddeg4uLC5ycnPDSSy9h6tSpePHFFwGUdewfPXo0pk6diosXL2Lz5s0IDAzEpk2bDLYDQL6rKIQwqJUp/3zgwIHw9fXFtm3b0LFjRyxcuBABAQF39P6kbbZt2xZZWVnYvXs3nnvuOVy4cAGPP/44/vOf/1S5jfT0dGRmZsr/6tevf0dl0Ne2bVs888wzlfYTqYixz8wYOzs7+S7uf//7XwQGBuKBBx4wiLt27RqSkpIwYsQIedmIESMqPHarKrup54Ly72Hp0qXIzMzE888/bzB4SFhYmOKzf/zxx5GdnS0PtHP+/Hm0aNEC3377La5fv45Zs2bBzc0NY8aMkctw+/Zt/PTTT/I227dvb7Ddbt26Gbwf6ZxUvhWB5JFHHsGJEyfwzDPPwM3NDYcOHUJoaCjeeecdo/HlVbQ/3dzcMGXKFLz11luKPncVxa9atQrXrl3D4sWLAQAHDhzAqFGjUFpaCiEErl+/Lvc36tevHzIzM7Fx40bcuHEDpaWlim2W/67r92EFyo73zMxM7N27F++99x46duwoDxx0J7WsTZs2RWZmJmJiYpCfn4+tW7ea/PkYI51X9OOlsmZmZmLfvn0YN24cnnrqKUXN4Jo1a9CiRQu59q9jx45o0aKFwYAOd0uqNT9x4gQyMjLw9NNPG42TanskI0aMQFJSktERox0cHDB79mzMnz8fly9flpdL3+l9+/bB09MTwcHBGDBgAE6dOoURI0bINdkLFy5ESEgIAgMD5c/Hx8cHzz//PP7v//5P3l5aWhrWrl0Ld3d3ODs748CBA3L82LFj0axZM3Tu3Bnz5s2Tj1sPDw8MGjQIX3zxBXbs2IEnn3wSu3fvRrNmzVBYWKg454aFheHxxx9HSEgIfvrpJ/z000/YuXMnMjMzFeXw9PTE0KFDAcCgD2p6ejr++OMPrF27Fg0bNgRgWFOn/z2Q/j366KOV7jetViv3kdP/Byi/l8uXL0e/fv3g4eEBoOw368aNG4rzjSkWLlxo8LeeeOIJRYwp59ewsDDs3LkTxcXFSEtLQ6//PzBWz5495ZrftLQ0xfs35RhwcnJCbGwsnJ2dMWHChDt6b/oq+u5K7uSYr8yd1SFSjVi+fDlKSkoUTV6EELCzs8PVq1eNXkgZ+wIII83+jMVUxxeH1LnfFixYgDlz5uCnn34yejFLSo6OjujTpw/69OmDt956C//5z38wc+ZMeXSuqVOnYtSoUXB2doa3t3eF+0DazjPPPIOvv/4akZGRmDlzJho1aiQn1n/99RdCQkJw8eJF+UdY+kH09PRUbE+n08HHxwdhYWH473//i06dOqFLly5yB/3AwEAcPnzYaFmk5L9ly5byMhsbG3Tt2hVdu3bFpEmT8PXXX2PkyJF4/fXX4efnV+Hn4+fnZ3T0O1dXV1y/fh06nQ5arVZR7uvXr8PNzc3o9t5++20EBgZWOrhERe+psnLqe/7559GtWzdkZWVVOCjAmjVrcOvWLUVCI4RAaWkpDh8+rBgIwZSym3IuaNmyJf7++2/F67y9vQHAaDPpOnXqKBJ5V1dXhIWF4ZNPPoGdnR0eeeQRPP/882jcuDGefvppLF68GEVFRZg4cSImTpwInU4nl00aVdHNzQ0lJSUGNwgqmnIlKSlJHrynPDs7OzRv3hwNGzbE1q1b8e6772L27Nl47bXXEBgYCAA4fPiw0ZH2/v77b8X3U9/kyZOxdOlSLF26VF4WGBiIv/76y2BEvIMHD6Jdu3Zy89pZs2YhPj4etra2KCgowKOPPip/xi4uLggICJCbTjVv3hx5eXm4cuUKgIq/64GBgdixYwd8fHzkz61du3bIzs7G6NGjAaDC96I/+qL+5xYQEAA/Pz+4u7tj+vTpBs0epb9ZXFwMOzu7So936TulXwZ7e3vFPu7UqROSk5OxaNEifP311wDKmiYfOnRI0ZSstLQUy5cvl28M3IuBAwfixRdfxAsvvIDHH38c7u7uBjGHDx/Gb7/9hr179ypumOh0Oqxduxbjxo0zeM2IESOwYMECvPvuu/LogdKxsmnTJly6dAm//vorSktL4efnBxsbG/lYaNSoETp27IiVK1eiefPmchJUr149xbEbEBCALl26YNu2bVi5ciV8fHzg4OAAoGyf1qtXDz/99BP69u2LH3/8EcHBwQDKzj0vv/wygLLmmV27doW/vz/q1asnN/OOjIxEnTp14OrqitLSUjz22GOK91d+oKchQ4Zg1apVBt8R6fsaGBiI/fv3Y+7cuQbNoct/D4Cy46Aq9erVM3oTsXHjxsjLy8M///yDL7/8EufPn1d8f3Q6neJ8Y4pGjRoZ/K26desqzkmmnF/DwsJw48YN7N27F6mpqZg6dSqAsqTumWeekQcue/bZZ+VtmHoM2NraQqvV3vO1s7HvrkQ6x90r1tSZWUlJCb788kskJCQo7lQcOHAAzZs3x+rVq42+rnXr1gZD1pdvn9+mTRu5Tbhk165daNOmTfW+ifuQGvfb/Pnz8c4772DLli13NDIT/U/btm0Vbd49PDwQEBCAxo0bm3RC379/P7y9veXtdO/eHWfPnkWDBg3kkcG2bt0q1x5s2bIFAAySoAMHDsgxAQEBiIqKUvTpGjZsGLKzs/HDDz8YlCEhIUEe1ruy9wmg0r4plWndujV0Op3BBf8ff/wBnU5n0HdH4uPjg5dffhkzZsyQL7Sqsn37dvz555+IiooyKb5du3Zo164dsrKyEBMTYzRm+fLliI2NNTh2w8LCKqytq6jspp4Lhg8fjm3btlWYJJlCunht3ry54vvo7++PoqIi9O3bV/77Ur+h5ORkOXHx8vJCVlaWwXDze/fuNXrR/fjjj5s84mnbtm1RUlKCW7duoWPHjmjdujUWLlxo0D/uwIED+Omnnyrsy+bi4oI333wT7733ntxXLiYmBkePHsUff/yhiG3SpAkyMzPlC2HpYlsa5bGyEZx79+4Ne3t7o337gP8lusOGDcO///5r0G/vzTffxNatW+Hm5lbhsda+fXsUFBRUuM8bNWqEo0ePGtSOxcTE4Pr163JiO2zYMPz0009yvzmpbKWlpVi4cCHatm0r1zZURKvVygnmn3/+id9//x1paWmK7+yvv/6KvXv3Iisrq9JtmUKr1WLkyJFIS0ur8ObK8uXL8cgjjyhqwjIzMzFt2rQK+/fZ2NggPj4en3zyCXJycgy2N2zYMOzfvx916tTByJEjkZmZqaglHD58uOKzrYx0DjYWW79+ffz000+wt7fHzp07cfbsWfTv3x9FRUXySIb6pHNuVaP4lufk5ASg7IZt+e+gREqiqqtPZEVCQkJgb2+Pl156Sf5e6++3VatWKc431cHU86u/vz98fHzw/fffIzMzEz179gRQduPM19cXCQkJuHXrltyfrjaOgfIq++7GxMTgp59+MnquKCkpMf23+p4bcNI9+e6774S9vb24du2awboZM2bIbc3L983asWOHsLGxEQkJCeLo0aPi008/Fe7u7qJevXqKbdvZ2YlPPvlEHD16VCQkJAitVitSU1MrLM/t27fF/v37xf79+4W3t7eYMmWK2L9/v6I/D6lvv82dO1fY29uLxMREkZubK/8rKCio1vdtLS5fvizCwsLEV199JQ4cOCBOnDghvv32W9GwYUPx/PPPCyGq7lO6cOFC8cUXX4jg4GARHx8vnn/+eQFAxMbGytvZuXOn0Gq14umnnxZarVY89NBDQqvViqSkJPF///d/on79+qJbt27C1tZWLF++XBw+fFgAEA4ODiInJ0f+WwcPHhQajUbs3btXCFE2et+TTz4p6tevL/7v//5PnDx5Uhw4cECMGTNG2NraKkYUi4qKEh988IHYvXu3yMnJEampqSI4OFgEBgZWOIpXVaNfClHW7ycoKEhs27ZNnDhxQmzbtk0EBQWJAQMGKOJQboSzK1euCDc3N+Ho6GjQp65///4iNzdX/PPPP2Lfvn3ivffeEy4uLiI8PFyUlJRUWJbyI7pdv35dUXb9PnVS/6W//vrLYDvLli0Tnp6eoqioyOSym3ouKCwsFD169BD16tUTixYtEvv27RMnTpwQW7ZsEQ899JDo3Lmz0c9C+jdkyBDFZ6v//Rw8eLCIiIgQN2/elNe7ubmJFStWiCZNmohFixaJ5s2bixkzZggvLy8RHh4uNm/eLDIyMsSyZctE/fr1xfTp0+V+cNL+X716tdBqtcLe3l68+OKLch+5nj17ik8//VSMHj1atGnTRmzcuFG0atVKPProo/Lf37Fjh3B2dhYRERHit99+E926dRMPP/ywaNSokejQoYP47bffxP79+0Vubq7cp+6DDz4Q+/fvF3v27BE+Pj7CwcFBPPzww6K0tFQMHTpU2NnZCUdHR7F3716Rk5MjVq1aJezs7ET79u0FALF48WKxePFi4ebmJuzs7AQA8cwzz4jt27eLkydPin379olJkyYJAOLgwYNiyZIlcn+kr776SuzZs0ds2LBBjBgxQrz44ouiqKhIlJaWitatWwutVmtwrGk0GvHggw/K73nkyJGKUWtff/114ezsLO/zMWPGiNatWyv2+Ztvvin3owoODpZ/f5999llhY2MjXnzxRZGamio6duwoPD09RXBwsJg5c6bYs2eP6Nmzp9BoNGLDhg2KY6Fdu3by9+bo0aPinXfeEQDk0ZAnTJggunXrZvB9FaKs75LU13TlypXCxcVFLpP079ChQ0ZfW/68cfv2bXHp0iV5NEv9PnVFRUXC09NTfPLJJwbbOXr0qAAg93Uq309JCCFCQ0Pl/lj9+/cXf/75p7C1tRWfffaZGD9+vNBoNPJv5tatWwUA8dFHH4nc3FwxduxYYWNjI8aMGSO2bt0qcnJyFN8FqU/VypUrhaOjo/Dw8BDHjx8Xubm5IjY2VrRr107uOzZ8+HBRv359ERAQIM6cOSPy8vLEE088IZ9z+/TpI/r16yefc0eOHCn69+8vhgwZIvr16yfvJ6lvmvQZzpkzR/Hc19dXODo6Gh39Uorx9PSUR3os/z2Q/sXGxorAwECDfZqdnS2PfhkTE2OwXjoXSp+Tn5+fSEtLEzk5OWLHjh1izJgxYtKkSfL5RnKvo1+aen4VQohnnnlG1K1bV9H3WAgh/vOf/4i6deuKFi1ayMtMPQaqeg/lVdSnTp/03dXvU3fr1i0RGhoq6tevLxYvXiwyMzPF8ePHxbp160Tnzp0V/ZMrw6TOzMLDwyscAGPfvn0CgNi3b1+FQ+M3adJEHhr/3XffFY0aNVJs406Hxj958qSi8670r/wgA/c7te036aKo/D/9wQ3of27duiWmT58uOnfuLNzc3ISzs7No1aqVeOONN+QL46qSurlz54oWLVoIrVYr/3NwcDDYzn//+1/RqlUruTO/s7OzsLe3F23bthULFiwQJSUlYsmSJaJ58+bC3t5eAFAMyy/p06eP4qK+uLhYLFiwQLRr1044ODgIV1dX0a9fP5Genq543bJly0RYWJjw9PQU9vb2olmzZmLUqFGKpLE8U5K6vLw8MWnSJBEQECAcHR1FQECAmDhxosGPr7Ef7jlz5ggABkmd9L21tbUVnp6eonfv3mLFihUGne/Lq2yYbiGUSd3LL78sd6Iv7+LFi0Kr1Yr169ebXHZTzwVClH3v3n//fdGhQwfh5OQkHBwcROvWrcWkSZPkaQnKfxb6/1xcXOQY6ft5/vx5YWtrK7799lvF35YGrHnllVdEUFBQheeIBg0aiMWLF4vjx48bJHXG/kmfQffu3YWTk5PQaDSiRYsW4tVXX5UH0pEcPHhQREVFCXd3d8WADuXPURWVDYC8X3U6nXjmmWeEVqsVzs7OwtXVVTz44IPizTffFE8++aQ82MTDDz8sNm7cKFJTU4WNjY1o3bq1aNCggbC1tRUNGzYUERERYsuWLXIZFyxYUOHfloZIf/PNN0Xjxo0NjrWlS5cKAPKQ5z179lR8p2fOnCmCgoLkfS4NgKS/z/Pz84WHh0eFZWjYsKGoW7eucHZ2Fl5eXqJBgwbCzs5ONGjQQDzyyCMCgDh58qTib+q/3tnZWQQFBcnJ0+3bt4W7u7uYN2+e0e9sQkKC8PDwELdv35YHzij/T/9iVF9V5w39pC4xMVHY2NiI8+fPG40NCgoSr7zyivy5lr8w3rVrlwAgD+Ih/atbt67o2rWrPECOEGXnyoo+XwcHB2FnZyfvA/3BNyp6/wBEbm6uEKLsWB04cKA8YNHp06cV51xpsBLpnFvRsd2qVSvFZ1g+qfv888/l46GipK5evXryoD3lvwfSP2nwLWPXeFJSV9F7/u6778T58+eFVqsVHTp0kAcaa926tZgyZYo4d+6cfL7R/wzvJam7k/OrtL/Gjh2riPvqq68EAPHCCy8IIe7sGKjqPZRnSlInfXfLH0e3bt0S8fHxIigoSDg6OooGDRqIHj16iFWrVlU6jYI+jRCVjL9OFmX06NH4+++/72oYazIf7jciIiIiuhccKMWCLViwAH369EGdOnWwefNmfPHFFya1Eyfz4n4jIiIiourEmjoLNmTIEKSlpaGgoAAtWrTAK6+8grFjx5q7WFQF7jciIiIiqk5M6oiIiIiIiCwYpzQgIiIiIiKyYEzqiIiIiIiILBiTOiIiIiIiIgvGpI6IiIiIiMiCMakjIiIiIiKyYEzqiIiIiIiILBiTOiIiIiIiIgvGpI6IiIiIiMiC/T+uX+T7A0xHWAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Box plot to visually show risk\n",
    "combined_df.plot(kind='box', figsize=(10,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate Standard Deviations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Algo 1                         0.007623\n",
       "Algo 2                         0.008341\n",
       "SP500                          0.008587\n",
       "SOROS FUND MANAGEMENT LLC      0.007896\n",
       "PAULSON & CO.INC.              0.007026\n",
       "TIGER GLOBAL MANAGEMENT LLC    0.010897\n",
       "BERKSHIRE HATHAWAY INC         0.012919\n",
       "dtype: float64"
      ]
     },
     "execution_count": 311,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the daily standard deviations of all portfolios\n",
    "\n",
    "combined_df.std()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Determine which portfolios are riskier than the S&P 500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TIGER GLOBAL MANAGEMENT LLC and BERKSHIRE HATHAWAY INC have more volatility than SP500    0.008135\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Calculate  the daily standard deviation of S&P 500\n",
    "\n",
    "SP500_Daily_returns.std()\n",
    "\n",
    "# Determine which portfolios are riskier than the S&P 500\n",
    "\n",
    "print('TIGER GLOBAL MANAGEMENT LLC and BERKSHIRE HATHAWAY INC have more volatility than', SP500_Daily_returns.std() )\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate the Annualized Standard Deviation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 313,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Annualized Standard Deviation: PAULSON & CO.INC.              0.111527\n",
      "Algo 1                         0.121006\n",
      "SOROS FUND MANAGEMENT LLC      0.125348\n",
      "Algo 2                         0.132413\n",
      "SP500                          0.136313\n",
      "TIGER GLOBAL MANAGEMENT LLC    0.172989\n",
      "BERKSHIRE HATHAWAY INC         0.205079\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# Calculate the annualized standard deviation (252 trading days)\n",
    "\n",
    "volatility = combined_df.std()*np.sqrt(252)\n",
    "volatility.sort_values(inplace=True)\n",
    "\n",
    "print(f'Annualized Standard Deviation:'\n",
    "      , volatility)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rolling Statistics\n",
    "\n",
    "Risk changes over time. Analyze the rolling statistics for Risk and Beta. \n",
    "\n",
    "1. Calculate and plot the rolling standard deviation for all portfolios using a 21-day window\n",
    "2. Calculate the correlation between each stock to determine which portfolios may mimick the S&P 500\n",
    "3. Choose one portfolio, then calculate and plot the 60-day rolling beta between it and the S&P 500"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate and plot rolling `std` for all portfolios with 21-day window"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 314,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the rolling standard deviation for all portfolios using a 21-day window\n",
    "combined_df.rolling(window=21).std()\n",
    "# Plot the rolling standard deviation\n",
    "combined_df.rolling(window=21).std().plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate and plot the correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "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>Algo 1</th>\n",
       "      <th>Algo 2</th>\n",
       "      <th>SP500</th>\n",
       "      <th>SOROS FUND MANAGEMENT LLC</th>\n",
       "      <th>PAULSON &amp; CO.INC.</th>\n",
       "      <th>TIGER GLOBAL MANAGEMENT LLC</th>\n",
       "      <th>BERKSHIRE HATHAWAY INC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Algo 1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.287852</td>\n",
       "      <td>-0.033963</td>\n",
       "      <td>0.320901</td>\n",
       "      <td>0.268631</td>\n",
       "      <td>0.164114</td>\n",
       "      <td>0.291678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algo 2</th>\n",
       "      <td>0.287852</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.002192</td>\n",
       "      <td>0.826730</td>\n",
       "      <td>0.678085</td>\n",
       "      <td>0.507160</td>\n",
       "      <td>0.687756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SP500</th>\n",
       "      <td>-0.033963</td>\n",
       "      <td>-0.002192</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>0.013549</td>\n",
       "      <td>-0.001505</td>\n",
       "      <td>-0.013856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOROS FUND MANAGEMENT LLC</th>\n",
       "      <td>0.320901</td>\n",
       "      <td>0.826730</td>\n",
       "      <td>0.000574</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.699823</td>\n",
       "      <td>0.561040</td>\n",
       "      <td>0.754157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PAULSON &amp; CO.INC.</th>\n",
       "      <td>0.268631</td>\n",
       "      <td>0.678085</td>\n",
       "      <td>0.013549</td>\n",
       "      <td>0.699823</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.434308</td>\n",
       "      <td>0.545451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TIGER GLOBAL MANAGEMENT LLC</th>\n",
       "      <td>0.164114</td>\n",
       "      <td>0.507160</td>\n",
       "      <td>-0.001505</td>\n",
       "      <td>0.561040</td>\n",
       "      <td>0.434308</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.424125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BERKSHIRE HATHAWAY INC</th>\n",
       "      <td>0.291678</td>\n",
       "      <td>0.687756</td>\n",
       "      <td>-0.013856</td>\n",
       "      <td>0.754157</td>\n",
       "      <td>0.545451</td>\n",
       "      <td>0.424125</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Algo 1    Algo 2     SP500  \\\n",
       "Algo 1                       1.000000  0.287852 -0.033963   \n",
       "Algo 2                       0.287852  1.000000 -0.002192   \n",
       "SP500                       -0.033963 -0.002192  1.000000   \n",
       "SOROS FUND MANAGEMENT LLC    0.320901  0.826730  0.000574   \n",
       "PAULSON & CO.INC.            0.268631  0.678085  0.013549   \n",
       "TIGER GLOBAL MANAGEMENT LLC  0.164114  0.507160 -0.001505   \n",
       "BERKSHIRE HATHAWAY INC       0.291678  0.687756 -0.013856   \n",
       "\n",
       "                             SOROS FUND MANAGEMENT LLC  PAULSON & CO.INC.   \\\n",
       "Algo 1                                        0.320901            0.268631   \n",
       "Algo 2                                        0.826730            0.678085   \n",
       "SP500                                         0.000574            0.013549   \n",
       "SOROS FUND MANAGEMENT LLC                     1.000000            0.699823   \n",
       "PAULSON & CO.INC.                             0.699823            1.000000   \n",
       "TIGER GLOBAL MANAGEMENT LLC                   0.561040            0.434308   \n",
       "BERKSHIRE HATHAWAY INC                        0.754157            0.545451   \n",
       "\n",
       "                             TIGER GLOBAL MANAGEMENT LLC  \\\n",
       "Algo 1                                          0.164114   \n",
       "Algo 2                                          0.507160   \n",
       "SP500                                          -0.001505   \n",
       "SOROS FUND MANAGEMENT LLC                       0.561040   \n",
       "PAULSON & CO.INC.                               0.434308   \n",
       "TIGER GLOBAL MANAGEMENT LLC                     1.000000   \n",
       "BERKSHIRE HATHAWAY INC                          0.424125   \n",
       "\n",
       "                             BERKSHIRE HATHAWAY INC  \n",
       "Algo 1                                     0.291678  \n",
       "Algo 2                                     0.687756  \n",
       "SP500                                     -0.013856  \n",
       "SOROS FUND MANAGEMENT LLC                  0.754157  \n",
       "PAULSON & CO.INC.                          0.545451  \n",
       "TIGER GLOBAL MANAGEMENT LLC                0.424125  \n",
       "BERKSHIRE HATHAWAY INC                     1.000000  "
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate the correlation\n",
    "correlation = combined_df.corr()\n",
    "# Display de correlation matrix\n",
    "correlation\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate and Plot Beta for a chosen portfolio and the S&P 500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 375,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Covariance for BERKSHIRE VS SP500 :  -1.5371091324717372e-06\n",
      "Variance for SP500 is:  7.373467552840441e-05\n",
      "BETA for beta BERKSHIRE VS SP500:  -0.020846489408902394\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Date'>"
      ]
     },
     "execution_count": 375,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# # Calculate covariance of a single portfolio\n",
    "covariance = combined_df['BERKSHIRE HATHAWAY INC'].cov(combined_df['SP500'])\n",
    "print(f'Covariance for BERKSHIRE VS SP500 : ', covariance)\n",
    "\n",
    "# # Calculate variance of S&P 500\n",
    "variance = combined_df['SP500'].var()\n",
    "print(f\"Variance for SP500 is: \", variance_SP500)\n",
    "\n",
    "# # Computing beta\n",
    "beta = covariance/variance\n",
    "print(f'BETA for beta BERKSHIRE VS SP500: ', beta)\n",
    "\n",
    "# Plot beta trend\n",
    "rolling_cov = combined_df['BERKSHIRE HATHAWAY INC'].rolling(window=30).cov(combined_df['SP500'])\n",
    "rolling_var = combined_df['SP500'].rolling(window=30).var()\n",
    "rolling_beta = rolling_cov/rolling_var\n",
    "\n",
    "rolling_beta.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 379,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The covariance of BERKSHIRE HATHAWAY INC VS SP500 is: -1.5371091324717389e-06\n",
      "The Variance for SP500 is:  7.373467552840441e-05\n",
      "The beta for BERKSHIRE HATHAWAY is : -0.020846489408902394\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Algo 1                        -0.030149\n",
       "Algo 2                        -0.002129\n",
       "SP500                          1.000000\n",
       "SOROS FUND MANAGEMENT LLC      0.000528\n",
       "PAULSON & CO.INC.              0.011085\n",
       "TIGER GLOBAL MANAGEMENT LLC   -0.001910\n",
       "BERKSHIRE HATHAWAY INC        -0.020846\n",
       "Name: SP500, dtype: float64"
      ]
     },
     "execution_count": 379,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# # Calculate covariance of a single portfolio\n",
    "\n",
    "cov = combined_df.cov()\n",
    "print(f'The covariance of BERKSHIRE HATHAWAY INC VS SP500 is:', cov.loc['BERKSHIRE HATHAWAY INC','SP500'])\n",
    "\n",
    "\n",
    "# # Calculate variance of S&P 500\n",
    "var = combined_df['SP500'].var()\n",
    "print(f\"The Variance for SP500 is: \", var)\n",
    "\n",
    "# # Computing beta\n",
    "# # beta = cov/var\n",
    "\n",
    "cov.loc['BERKSHIRE HATHAWAY INC','SP500']/variance\n",
    "print(f'The beta for BERKSHIRE HATHAWAY is :', beta)\n",
    "\n",
    "\n",
    "# # Plot beta trend\n",
    "# # beta.plot()\n",
    "cov.loc['SP500']/variance\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rolling Statistics Challenge: Exponentially Weighted Average \n",
    "\n",
    "An alternative way to calculate a rolling window is to take the exponentially weighted moving average. This is like a moving window average, but it assigns greater importance to more recent observations. Try calculating the [`ewm`](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.ewm.html) with a 21-day half life for each portfolio, using standard deviation (`std`) as the metric of interest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use `ewm` to calculate the rolling window\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Sharpe Ratios\n",
    "In reality, investment managers and thier institutional investors look at the ratio of return-to-risk, and not just returns alone. After all, if you could invest in one of two portfolios, and each offered the same 10% return, yet one offered lower risk, you'd take that one, right?\n",
    "\n",
    "### Using the daily returns, calculate and visualize the Sharpe ratios using a bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 380,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Algo 1                         1.369589\n",
       "Algo 2                         0.484334\n",
       "SP500                         -0.518582\n",
       "SOROS FUND MANAGEMENT LLC      0.342894\n",
       "PAULSON & CO.INC.             -0.491422\n",
       "TIGER GLOBAL MANAGEMENT LLC   -0.130186\n",
       "BERKSHIRE HATHAWAY INC         0.606743\n",
       "dtype: float64"
      ]
     },
     "execution_count": 380,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Annualized Sharpe Ratios\n",
    "sharpe_ratio = combined_df.mean()/combined_df.std()\n",
    "asr = sharpe_ratio*252**.5\n",
    "asr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 381,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 381,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the sharpe ratios as a bar plot\n",
    "\n",
    "asr.plot(kind='bar')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Determine whether the algorithmic strategies outperform both the market (S&P 500) and the whales portfolios.\n",
    "\n",
    "Write your answer here!-- Overall, Both algo stratigies out preform the SP500 and Whale portfolio. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Custom Portfolio\n",
    "\n",
    "In this section, you will build your own portfolio of stocks, calculate the returns, and compare the results to the Whale Portfolios and the S&P 500. \n",
    "\n",
    "1. Choose 3-5 custom stocks with at last 1 year's worth of historic prices and create a DataFrame of the closing prices and dates for each stock.\n",
    "2. Calculate the weighted returns for the portfolio assuming an equal number of shares for each stock\n",
    "3. Join your portfolio returns to the DataFrame that contains all of the portfolio returns\n",
    "4. Re-run the performance and risk analysis with your portfolio to see how it compares to the others\n",
    "5. Include correlation analysis to determine which stocks (if any) are correlated"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Choose 3-5 custom stocks with at last 1 year's worth of historic prices and create a DataFrame of the closing prices and dates for each stock."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reading data from 1st stock\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reading data from 2nd stock\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reading data from 3rd stock\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Combine all stocks in a single DataFrame\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reset Date index\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reorganize portfolio data by having a column per symbol\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate daily returns\n",
    "\n",
    "# Drop NAs\n",
    "\n",
    "# Display sample data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate the weighted returns for the portfolio assuming an equal number of shares for each stock"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set weights\n",
    "weights = [1/3, 1/3, 1/3]\n",
    "\n",
    "# Calculate portfolio return\n",
    "\n",
    "# Display sample data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Join your portfolio returns to the DataFrame that contains all of the portfolio returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Join your returns DataFrame to the original returns DataFrame\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Only compare dates where return data exists for all the stocks (drop NaNs)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Re-run the risk analysis with your portfolio to see how it compares to the others"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate the Annualized Standard Deviation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the annualized `std`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate and plot rolling `std` with 21-day window"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate rolling standard deviation\n",
    "\n",
    "# Plot rolling standard deviation\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate and plot the correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate and plot the correlation\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate and Plot Rolling 60-day Beta for Your Portfolio compared to the S&P 500"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate and plot Beta\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using the daily returns, calculate and visualize the Sharpe ratios using a bar plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate Annualized Sharpe Ratios\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Visualize the sharpe ratios as a bar plot\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How does your portfolio do?\n",
    "\n",
    "Write your answer here!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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