Alpha vantage examples.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from alpha_vantage.timeseries import TimeSeries\n",
    "from alpha_vantage.techindicators import TechIndicators\n",
    "from alpha_vantage.sectorperformance import SectorPerformances\n",
    "from alpha_vantage.cryptocurrencies import CryptoCurrencies\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "# Make plots bigger\n",
    "matplotlib.rcParams['figure.figsize'] = (20.0, 10.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with time Series\n",
    "We first download the data with our api key."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>1. open</th>\n",
       "      <th>2. high</th>\n",
       "      <th>3. low</th>\n",
       "      <th>4. close</th>\n",
       "      <th>5. volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3910.000000</td>\n",
       "      <td>3910.000000</td>\n",
       "      <td>3910.000000</td>\n",
       "      <td>3910.000000</td>\n",
       "      <td>3.910000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>85.658983</td>\n",
       "      <td>85.677033</td>\n",
       "      <td>85.639585</td>\n",
       "      <td>85.658479</td>\n",
       "      <td>3.821503e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.339009</td>\n",
       "      <td>0.338582</td>\n",
       "      <td>0.339146</td>\n",
       "      <td>0.338879</td>\n",
       "      <td>1.679918e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>84.730000</td>\n",
       "      <td>84.800000</td>\n",
       "      <td>84.710000</td>\n",
       "      <td>84.735800</td>\n",
       "      <td>1.266000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>85.405000</td>\n",
       "      <td>85.420000</td>\n",
       "      <td>85.385000</td>\n",
       "      <td>85.410000</td>\n",
       "      <td>1.276675e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>85.645000</td>\n",
       "      <td>85.660000</td>\n",
       "      <td>85.630000</td>\n",
       "      <td>85.645000</td>\n",
       "      <td>2.136550e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>85.880000</td>\n",
       "      <td>85.900000</td>\n",
       "      <td>85.860000</td>\n",
       "      <td>85.880000</td>\n",
       "      <td>3.551050e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>86.499000</td>\n",
       "      <td>86.510000</td>\n",
       "      <td>86.440000</td>\n",
       "      <td>86.494100</td>\n",
       "      <td>5.589127e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           1. open      2. high       3. low     4. close     5. volume\n",
       "count  3910.000000  3910.000000  3910.000000  3910.000000  3.910000e+03\n",
       "mean     85.658983    85.677033    85.639585    85.658479  3.821503e+04\n",
       "std       0.339009     0.338582     0.339146     0.338879  1.679918e+05\n",
       "min      84.730000    84.800000    84.710000    84.735800  1.266000e+03\n",
       "25%      85.405000    85.420000    85.385000    85.410000  1.276675e+04\n",
       "50%      85.645000    85.660000    85.630000    85.645000  2.136550e+04\n",
       "75%      85.880000    85.900000    85.860000    85.880000  3.551050e+04\n",
       "max      86.499000    86.510000    86.440000    86.494100  5.589127e+06"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts = TimeSeries(key=os.environ['API_KEY'], output_format='pandas')\n",
    "data, meta_data = ts.get_intraday(symbol='MSFT',interval='1min', outputsize='full')\n",
    "# We can describe it\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
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AAEApd83foD88tVpSvidSJV8xuyohS3dRKpYNrfv7C6/qkuufK1i/J1F5Jo4X\nROpeCCJorH3zs2tzY7n87kXasKtda7btKblPcQBJKsxEeuPBkyRJO/ckJUl3fOo0/eFDMzWyPpYr\nUyunyd+OTCT0u+AFPgxnAgQAAAAA9JFglrRKMnuCTKQw8ztyp4uaVodnX9uTymik3zvoC7e82OEY\ne7qRibS9NaVRDd0LQQTBn3sXbNKdh6/XO4/fJ9eTqT7e8Tl1NnNcuCfS2YdP1qVvPUJvOnyKJOn4\n/cZ1a0ySF9yqi0UIIqH/kYgEAAAAAOitSnsiSVJ9FxlAxTOMffuul3O3WxPpXBCplNZuBFGWbd6t\nQ6aMqnh7KT8LmiRtb/Uyh4LATamA0QFfu7fkccJBJDPTR15/QLfGUcqIuijlbOh/wQucRCQAAAAA\nQE/1pCdSKemiptU3zH0ld7ulTJCkuK9QV7a3JjVpVH3F20tSLJIfd/B8g2bexcGvUk7Y38syikb6\nPvTREI8yOxv6X/D6ZnY2AAAAAEBP5XoiqWflbIGueiK1p7oOkiQrDCLtaktp/c42jW7oOCNaV8Iz\nuQXD3JMKgkjlHzvYv9KG2d1RH4tU/PyHEoJIAyzINCSGBAAAAADoqXxPpPLbdtXQuqtgTDhI0lii\n6XR430zWadGG5pLH+d/bvH5KW3cnyo41LBbtmImU8aNJlWQi1cW8MUf6JYgU7VYm1lBBT6QBZkSR\nAAAAAAC9lO1GT6RSmUhBQ+1Kg0jFDbiD9bvaUjrmsgdzy/70kRM169DJkqTm9pRe9538uu6Wf8VD\nwZ/iap7iMrxsiYyqOj8IVRft+yBSXSwyLINIZCINsODSHX6XGgAAAACgp4pLp4JMpEra/ZTKInp+\n7U5J0iOLt0jypry//J+LCh/TD9Q8+PKmkpk/yXRWK7bsLli2fHNL7va8Ndtzt886bLK++46jyg82\nJNwQ+5Zn1+WykKSOmUjJUFDpxOnj9Lf/d6rq/eBZV5lYPVUfi9ATCf2vkukXAQAAAAAIu+aR5QX3\nu9MTqakuH0Q66YDxBeuWbPKCQP9983xd96/VBeuCwNUlNzzX4ZiTRtUrlclq6+5kwfLm9lTudn0s\n/7jXffhETR3TWHasYfFQBtXa7Xv02ydW5u6nijKjwkGk/z77EJ10wPhcBla/BJHiESVSwy89hCDS\nAAsCqaWmIwQAAAAAoJTifkJOlc/ONqI+38nmG+cd3mG9c07rduzpsLyrUrfRDTElMll94sbCAFNz\nWz6IVEnz664UZ1D98P6ludvp4kwkP+B12duO1BsOnigp31i7fzKRhmdPJIJIAyyIEhNCAgAAAABU\nqrivUS4TqYJql3AmUksi3WHjFQzdAAAgAElEQVR9MpMt2VMoHCQJz3B2+ydPUzwa0YJXd+WWnXvk\nFElSc3v++HuSXrnX5W8/suwYS+lOQ/AgiNQQz+8TnLO6WP/MzkY5G/pdrq82USQAAAAAQIWKg0i5\nnkgVxEfCQaTj9xvXYX17Mttpz6MguPSZsw7KLT9h/3Gqj0W0dns+e+m3H5ipQ6aMVFsyH1jZuKtd\nknSm32i7L3UWRAoHnuqi0Q7L+sq+45s0bWz3yvOGAoJIA4yWSAAAAACA7goHQpxzuSnvK8tE8srZ\nLnjdVDWGAkqnHjhBktSezmi/8U255e87eT9JXoZS2g8iFQdiwsf5+cXHSfJminOhuptHl2yWJI1p\nipcdY3e1JgqzgIIMq3AJXH/2RPr6eYfrjx85qc+PW+sIIg2w4AU+/ConAQAAAAA9FQ9NU5/Julx1\nSyWZSNGI6Zmvn60fX3ispHxyw/gRdZKktmRGh00dldt+pN9DKZnO5mZEixY90IxJI3O3L3jdVP+4\npnBVXGM8qgkj6jS6oe+DSL98bIXe9/u5+t0TqyRJyzZ7DcIPmpwfV51/zmKVnCRUJFZ+E/Sl3KVL\nORsAAAAAoEKRUMZRKuNywZpIheUuk0c3dFgWBIvaUpmC8rAgcymVySrtz4IWi5h+fOEx2n+Cl7E0\nc/o43fT0Wkn5ZImIFU4ilck6TRvX9yVfE0fWaf3ONq3f2aZ/rXhNH3/jgbpr/gZJ0j7j8hlV9UWN\nudF7ZCINsOAFTgwJAAAAAFCpcLAomcnmytl6Iygza02klUrnjzei3gu+JNPZ3CxosYjpncfvoxP2\nHy9Jev2MiSXHGM5ESmddhwym7tp3fKNef9CEgtYwl761sFF3Mp3V48u2SipsrF3vl7PRk7jvVBRE\nMrMvmNnLZrbQzP5qZg3mudLMlpnZYjP7XIn9jjWzOf6+L5nZe0Lr/mRmq81svv/v2L58YrWKxtoA\nAAAAgO4KN8dOZbL5xto9CNIEe0zxs5O2tSRKZiLNX7dTx333IUlStKivUFAKFxYxFQS3MlnX61Ky\nJ//3LN30sVNUF3r8C143VacfnA9ird7Wmrsd7hEVBJH6IuAGT9lyNjObJulzko5wzrWZ2d8kXSTv\nuttX0mHOuayZlWq3vkfSB51zy81sb0nPmdkDzrmd/vovO+du65unMjgElzOXMAAAAACgUuNCQZuv\n3r5ApxzoZQT1JkYzdYwXRNq6O6FkKIhUF4uoLhbRY0u35pYVB4NiJZpVF/dE6otMpMC4pjptam7P\nPc70CSP05PJtkqQlm5pL7hONRPz/0hOpr1TaEykmqdHMUpKaJG2QdIWk9zrnspLknNtSvJNzblno\n9gYz2yJpkqSdxdsOF5V0zgcAAAAAICzca+jhxZtVFwv6EPX8O+aU0fWKmBdE2rI7kVs+uiGm+mhE\nLpqf9axURtF3336kkpn8uEr1RKrro75EwcNf8sYDJUlffcthWr+zTY8u2aI5K1+TJB09bUzBPhlX\nuik4eq5sOZtzbr2kqyStlbRR0i7n3IOSZkh6j5nNM7P7zOzgro5jZidJqpO0MrT4Sr/M7SdmVt/j\nZzGIBK/vLKlIAAAAAIAKFX+FTPo9jHoSHgmSG+qiUY0fUa+tLUk9s3p7bv2MySMV97ORArFox0f6\nwKnT9dE3HJC77/VEyo+0LzORgu/Qbztmb0nSiPqYvn7e4ZKkm59dJ0n6ztuOKNgnk8k3BUffqKSc\nbZykt0s6QF4G0a1m9n5J9ZLanXMzzeydkq6TdHonx5gq6QZJHwoylyR9TdImeYGlayV9RdLlJfa9\nRNIlkjRlyhTNnj27O8+v5jQnvSs/kUgM+ueC3mlpaeEaANcBJHEdwMN1AK4BSFwH8JS6Dha/miq4\nv2mrV8o1Z84cjanvXpAkyBZ64fl5arSUFq9eL0k6ckJEx06Oae3CZ+XSKbWm8gGhpUuWaPauFV0e\nt7m5TVFTbuw7d7VJ7dYn13R7wsuUevH557RtuRfcCo9PkhbMf0G7V+czn5au8c7Zxg3rNXv2tl6P\nYaDV4vtBJeVsb5K02jm3VZLM7A5Jp0l6VdLt/jZ/l/THUjub2WhJ90j6pnNubrDcObfRv5kwsz9K\n+lKp/Z1z18oLMmnmzJlu1qxZFQy5du1oTUqPPqS6+noN9ucylKze1qp0JquDp4wasMecPXs21wC4\nDiCJ6wAergNwDUDiOoCn1HWw6Zm10sIFufsjR4+Rtm3XG15/miaM7F5hjz14r+ScTj35JN2zcaFe\na01KatG5xx+kz53tFRk1zH1EOxLtuX2OOepIzTp6apfH/fXSOZKkWbNOlSQ1zn9CU8Y3adasmd0a\nXynxfz0sJRI67dSTdcDEEZKkbNZJj9yb2+bUk0/SoXvlv9Mte2KltGSJpu+/n2bNOrzXYxhotfh+\nUMnsbGslnWJmTeblvJ0tabGkOyWd5W9zhqRlxTuaWZ28ANP1zrlbi9ZN9f9rkt4haWFPn8Rgwuxs\ntenMq2brnJ88Ue1hAAAAAEBJxV8hE2mvyKcnPZEa/DK1SMQ0oj6mFVtaJBXOYrZxV3vBPpWUpUXM\nCr7rZrKuZBlcTwTZU/HQ8YpnpguX30nSaTO8GdzOOWJKn4wBFWQiOeeeNrPbJD0vKS3pBXmZQY2S\nbjKzL0hqkfQxSTKzmZI+4Zz7mKQLJb1R0gQz+7B/yA875+b7+06SV8I5X9In+vKJ1SrzK1aJIQEA\nAAAAKlU8TX2r3/C6oQeNq99w8EQ98PJmSVJTXX7/rpIdKgkGRSJSKlPYWDuYIa23gp5IdSVmhQvE\ni8Z41LQxWvP98/vk8eGpaHY259ylki4tWpyQ1OGv4ZybJz+g5Jy7UdKNnRzzrFLLhzrrm9cPAAAA\nAAyIbNbp14+v1AdO3V+jG+LVHs6wVRzgaU1kJHXMvqnET99znB5avFkzJo3UiLp8WCAcqPryuYfq\nRw8szd0f01hX9rhBY+1kOqtfz16plkRafZSIpIwfRYp1EUTqyblA93CGB1jw+mF2NgAAAACDwWNL\nt+hHDyzVZf9YVO2hDGuuKIrUkkgrHrUezX7WWBfNzXLWGMpEyoS+qH76zIMK9pk8qnzfJTNT1km3\nzFunnzy8TFt2J/owE8kbW7SL8r36aPezstA9BJEGmPWgXhUAAAAAqiUILOxqS1Z5JMNbcR5CayLd\nZWlXpUY35DORMkWBqjccNDF3e2IFzbsj5gW70plsblmsB0GuUs44ZJIkqT5OJlI1cYYHWPDycXRF\nAgAAADAIxP1ARdDr5lezV+iGua9Uc0jDUnE5WzrrVN+DfkjFDgrNUF38GL/7YH5WtXDGUmdMXtVN\nOJgT7aN6tqv+6xjN/tKsTntA3fqJUysaI3qnop5I6DtB53xmZwMAAAAwGATlUkFG0g/v9/rkfOCU\n/as2puGouLG2JNX3QebNEVPzQaTicE93gzJBT6RwhlRfZSI1xKOaPnFEp+tn7j+uTx4HXSOINMCC\najZiSAAAAAAGgyAIkAqVKGHglUpE6Isg0gETR+Zuf6qoD5IkHTpllF5rrayUMeiJFM5EqqQMri/Q\nOmZgEESqFqJIAAAAAAaBoNdymtmBqqpUJlJf9AAKN+Ye09hx9r37P396xZU0+Z5I+R0+e1bHwBQG\nL4JIAywoZyOGDwAAAGAwSGW9by9pMpFqztfecni/P4aZqdIkn4iZnJOSoWulvzOE7vz069VHFXOo\nAEGkAUaGHQAAAIDBJMgqqSQTqS2ZkZk6bX6MniuVDRTMWFYrIhEvY2ogSx+P3XfsgD0WmJ1twOVm\nZyMTFAAAAMAgkMllIpX/EnP4t+/Xyd97pL+HNCyVKmeL1FgKjvmNtZNpstaGKoJIAyxCKhIAAACA\nQSTlB4+CsrZydrWl+nM4w1YQQpr9pVnVHEaXSpWzYWihnG2ABTEketIBAAAAGAzS3chEQv8JEpH2\nGtPQ58e+5uLjchlnvRExFWQi/eBdR/f6mKgtBJEGGNMOAgAAABhMgkwkGmtXV6lytr7ytmP27pPj\nRMyUddKeZEYN8Yjec+J+fXJc1A7K2arALJ+KCAAAAAC1LJMNytn4FlMLarlFivmZSLvb0xpZT87K\nUMRftQpMNNYGAAAAMDgEGUiZrNPKrS1VHs3wlfWDeDUcQ5LJ9OqONv31mbWqi5KzMhTxV60CMyMT\nCQAAAMCgkGusnc7q7Ksfr/Johq/gO2QNx5C0qbktd5vm2kMTQaQqqLFZGAEAAACgU0E5W4KgQFUF\n1Sy1XM62fDOZakMdQaQqMBmzswEAAAAYFFL+rF3BjFuVaEmk+2s4w1bQWLuGY0hqbk/lbn/mzIOq\nOBL0F4JI1VDDL3oAAAAACEtnuv8L+K3z1vXDSIa3XDlbDUeR2lP5QOMBE0dUcSToLwSRqiDC7GwA\nAAAABol0D8rYGuPRfhjJMOdcTWchFWus4xoYiggiVYHJ5JieDQAAAMAgkO5BL44RTO/e57JucBW1\nNMQJNwxFvLKrwMhEAgAAADBI9CSIlM7ShLuvOblcU+3bP3lat3pUDZS3HLWX7lu4SZLUQDbakERo\nsAoiRJEAAAAADBKpCsvZwtUW4d446BtZl2+qfcL+43TqjAnVHVAJv3jv8Rrd4OWqjCQbbUgiiFQF\nZlIPetMBAAAAwIDLVJiJFM5Yak9l+ms4w5ZzXmuUWhaNmNr9DKmJI+urPBr0B4JIVTC6Ia42ZrwE\nAAAAMAikKvwFPJMlE6k/OQ2OxtpBmd2EkXVVHgn6A0GkKhjbFFdLilQkAAAAALUlk3VatKG5YFml\ns7OFM5ESaTKR+poLlbPVspsvOUUfP/0A1cfoiTQUEUSqgnFNdWpJEkQCAAAAUFt+9shynXfNkwWB\npEoba4eDTWQi9T3n8o21a9kpB07QN84/otrDQD8hiFQFI+qjaqcpEgAAAIAas+DVnZKkTc1tuWXh\nINLYpnjudriRdvF29ETqe1mnGu+IhOGAIFIVxCIR9WCWTAAAAADoV+ZnumRDiUThDKNEKMOouOF2\nhnK2fuWVsxFGQnURRKqCaMQIIgEAAACoORE/RhH+uhJurB0ODhU33E7TWLtfDZbG2hjaCCJVQSxi\nopoNAAAAQO3xM5FCpWrpbFaN8ai/PL9lsqjhdmFPJDKR+pqjnA01gCBSFZCJBAAAAKAWBZku4XZH\nmaxTY13HmbZSxUEkeiL1K+cc5WyoOoJIVRCLEkQCAAAAUHsiuRhF/gtLKpPPRAorDiIV9kSinK2v\nZV347wNUB0GkKohGTBlHFAkAAABAbQmmkA//6J3OONXHO351TKULv9OkKGfrV1nnFCWKhCojiFQF\nUSMTCQAAAEDtCaqlCnsiOTXEOmYiFfdECjKRzGis3R+yzM6GGkAQqQqikYgyvKcCAAAAqDFBkCJc\nOJHOZktnInXSE2lkXUztaTKR+ppzjnI2VB1BpCqIRU3EkAAAAADUmiBGUZCJlCmdidQhiORPQT2i\nPqYEmUh9LutcrtwQqJZYtQcwHEUjpizvqQAAAABqTKkgRSqTVUOJTKRkujgTybs/oj6qnXtS/TPA\nYWr6V++RRGNtVB+ZSFUQi5gy9EQCAAAAUGMiJXoiZbJO9aFMpGCblkS6YN+gJ9LI+hiNtfsJvXVR\nbQSRqiAaMTlJWd4BAAAAANSQoCdSuHIilXEFmUhjm+okSc3thUGkgnK2NKUXwFBEEKkKov4bc8YR\nRAIAAABQO4JqtvA3lXQ2W5CJNLYxLkna3V5Yshb0SBpZH1M665RmNiFgyCGIVAXRqB9EIhMJAAAA\nQA0xv7V2cTlbLGqK+XVsY5q8IFJzW2EmUptfwjbaDzKl+b4DDDkEkaogePMliAQAAACgluQaN/tf\nVbJZp20tScUipqi/sjHuZSUV9z2au2q7JGl0gxdE4vsOMPQQRKqCaMQ77UTmAQAAANSSYHa2IBNp\n0cZmSV4rjuDH8IiZ4lHLla8F/vrMWknS6EZvEvA0swkBQw5BpCrwq9mUyTqddOXD+uB1z1R3QAAA\nAACgfE+k4PfuoEH2OUfslctEMpPi0UinP4oHmUjpLD2RgKEmVu0BDEfBm+8dz7+qLbsT2rJ7a5VH\nBAAAAAD52dmcX88WlKTFI6ZY1MtBiJjXHynZyQxs9f5MbpSzAUMPmUhVELwxX3HP4iqPBAAAAADy\nijORghnWoqGeSBGT6mKRDuVsgaDsLUUQCRhyyESqgqDOGAAAAABqSb6xthcACkrWwrOzeZlIkQ49\nj6aNbdQpB05QzO8Bm6EnEjDkkIlUBRFiSAA6saM1qYuunaMNO9uqPRQAADAM5Rtre/eDkrRYJFLY\nEynWsbF2Jus13475TWDT2azufGG9vn/fkgEaPYD+RhCpCkhEAtCZ2557VXNXbdfvnlxV7aEAAIBh\nKPiqEszOlipRzmZmikciHcrV0lmnSGi7dNbp87fM128eXzkwgwfQ7wgiVYERRQLQidZkWpLUVBet\n8kgAAMBwlGusXZyJFLVcgCniz86WKmqsnXVO0Yhy5WzF5W4ABj+CSFVATyQAnWlNBEEkWtYBAICB\nl2+sXdQTKWK57zEmr2QtnS1VzhbJ9U5idjZg6CGIVAX0RALQmfV+L6QYbxQAAKAPpTJZ/fThZWpL\nZrrcrvgH7xvnviLJyy4KVkWjpng0omRRplEm6xQxU9TvibR4Y3MfjR5ArSCIVAXlMpHaUxntaksN\n0GgA1JJNu9olSUs37+Z9AAAA9Jlb572qnz68XL98bEWX20WKMpGeXr1dktcTKfgeEzVTPGpKl2is\nHY3k+yr97+0v5dbtaktpj1+2D2DwIohUBeWq2S74+VM65rIHB2YwAGrKa61JSdIdz6/nfQAAAPSZ\ntpSXgdRaJpBjRbOzBWLRUBAp4mUidZidzTlFI5GSP4Qdc9mDuuCap3o6fAA1giBSFZTLRFqxpWWA\nRgKg2JJNzfrYn+cpWdQociA457R1d2LAHxcAACAQfFVxTvptaFa1aMTy5WwRU6yTcrZoRNrTScnc\nqm2t/TJmAAOHIFIV0FgbKM85p8eXbZVzA9uQ8Su3L9DDizdr4YZdA/q4mazT9+9f0umHLgAAgIEQ\nyWUiOf3ffUtyy+ORSEE5W11ROZtzzgsimek/j5tW8tgTRtT148gBDASCSFVADAko7675G/Sh657R\nX55ZO6CPG7w8Bzh2pVueXaffPr6qw/KBDqIBAIDhLf9ZqPAzSCRiivjfHqNRUyxSWM4WlL9FIxE1\nxKOqi3b8qrnfhKb+GDKAAUQQqQqYdAkob3Oz12D6ldf2VGkETj9/ZLmO/Pb9A/Jo21tLl7ElqlBW\nBwAAhoZ/r9ym6V+9Rxt3teWCQuV+nwqyjYq3i5gKG2vHIkqHytm+e/cib53/DTOZ6fgZJpHic01P\n8KMiaglBpCowUpGAsmL+J5BkOqu7X9qgRRsGZorYIMjbksjo6oeWqTWZ0S3PetlQzjn9/slV2uE3\nv+4ru9tT+tXslSXXUd4GAAB66qanvc8w89bs0LNrvFnWgv92xnKzs+WXvf6gCRrVEM99j4lGTPGI\nFQSK/vTvNf66zr9iJtIZrdu+RzfOfaW7T2VYK25yDlQTQaQqqLQnUpZ3CwxjdVHvdZLOZvWZv7yg\n8655ckAeN/hwdPWDS3PLvnL7AiXTWT33yg5dcc9ife2OBZKkPcm02vogyPObx1cWBItOmj4+d7s1\nwVS4AACgZ4LPKVnntKPVmzEtU+Y7RvBZyCm/3flH7+2t8+8Hs7OlM937vpJIZ3X+NU/qm3cuVHuK\nH8oqRSYSaglBpCqotJwtlSXdE8NXkImUSg/s/zSDl2fx1LRtyYxak4VT48684mGd/sNHe/2YddFo\nwf2rLzxGv3zv8ZLIRAIAAD336JItkrzStPa095miXBApUiITKeb/uBcJzc4Wj1lBT6TAnmTnP4Al\n0lk1t3vr0/xgXjFOFWpJRUEkM/uCmb1sZgvN7K9m1mCeK81smZktNrPPdbLvh8xsuf/vQ6HlJ5jZ\nAjNbYWbX2DCq8SqVieSc08L1uzT9q/fklnU3sg8MJfEgiBQKpt67YGO/P27w8izuxdSaTOdmIIlF\nTM457UlmtK2l96Vt8Vjhe0J9LKKm+mjucQEAAHojnXW5rKRSgZ8wU9ATKf9dJJ4LIuX/G4tESvY9\nSvr9HIOA05TR9bl1iVD2UbrMOJCXJRMJNaRsEMnMpkn6nKSZzrmjJEUlXSTpw5L2lXSYc+5wSTeX\n2He8pEslnSzpJEmXmtk4f/WvJV0i6WD/33/09skMFqXCZc5Jl1w/r2BZuTd4YCgLPqykQsHUT930\nfJe/bvWni383V3fN3yDJ+/Xt9ufXF6yfs/K1Hr1md7RndeOcwr4A9bGoRtTFJElLN+3WB697Ri2U\ntQEAgB7ak0yrLRUEkSrLRArHLYIf94IgUixiqitqrH3gpBGSpHefsI8k7/OSJB09bUxum3DQqVQA\nCuUFn5GBaqm0nC0mqdHMYpKaJG2Q9ElJlzvnspLknNtSYr9zJT3knNvunNsh6SFJ/2FmUyWNds7N\ncV6I+3pJ7+jlcxk0SmUiZZ3r0HCbN1YMZ/FcY+3Ccq6zrnq8Xx/XVPp/zK+8tkf/eNELIj28eIu+\ndOuLuXVzVr6mi383V798bEW3H++WpUlt2NVesKw+HlFTnZeJdOldL+uJZVv1yOLN3T42AACAJO1u\nT+d6EJX7jpFvrJ0PEMWCZtn+ukjEFIsUlrNNHFmvkw8Yr4OnjPI39Taui+W/coZnnaXqonLhv8X/\nnHNoFUcCVBBEcs6tl3SVpLWSNkra5Zx7UNIMSe8xs3lmdp+ZHVxi92mS1oXuv+ovm+bfLl4+LJQO\nInV8Q08ytTeGsSCIVNwTaFNze6nNe+22517VzCsezv1K1x0vb9glSVq+paXifS69a6EuunaO2kIJ\nRtPGNkqS6qIRjaz3MpGC94UmPzMJAACgEuFytB89sDRXgl+ujCzfWDuvOPslaqZoxJTOOs1bs13T\nv3qPnlm9vSBgFHzlqYvml4WzmwgilfePFzfoiG/fr0TK+5t96c2H6JOzZlR5VBjuyn4r8cvP3i7p\nAEk7Jd1qZu+XVC+p3Tk308zeKek6SacX717ikK6L5aUe/xJ5ZW+aMmWKZs+eXW7INW/Rax2/pM5+\n/HHtaU8ULPv3nLma3ETv84E0kNdXS0vLkLie+8virV50ZePWjtPQ3v3gYxpZV3kqb1vaKWJSfRfp\nv1+6v1WStK2l8HV44JiIVu3q+sPWFfcsliRt37al4r/pn+e0dlj2P8dIq3bV64knHpdzThcfVqe/\nLvE+8M1/aYHiWxZXdGwMPrwfQOI6ANdAdz2+LqWjJ0U1vmFofV7uq+sg2UmQpi2R6vL4q1d7nz1e\neWVtbtmihQsU3bxYG7e1+etWa68R3nn/7X3P5rbbvXNH/thewYq2bytVsCI9NWeu9h45tP52faml\npUX/9+R87Uk6/e0Bb5bida+s0ezZ68vsiaGkFv+/UMlP22+StNo5t1WSzOwOSafJyx663d/m75L+\nWGLfVyXNCt3fR9Jsf/k+Rcs3lHpw59y1kq6VpJkzZ7pZs2aV2mxQqVu5TXr2aUnSARNHaPW2Vp1+\n+ht1xqb5unfBptx2M088SQdOGlmtYQ4v93sNzQfy+po9e/aAPt5gE1u+TXruacUbR0o7mwvW7Xv4\ncTpm37EVH2v6V+/R1DENmvO1s0uuz2SddP+9Jdf97bNnaeYVD1f0OHvvNVWzZh1T2aDuv6fg7qfP\nnKF3nXtYwbIzJb36h6f15PJt2n/GoZp14r6VHRuDDu8HkLgOwDXQHTtak/rw/Q9p8qh6PfONs6o9\nnD7VV9fBjtak9NBDufsXztxH6azT3S9t7PL4i7VSWrZE++y7r7R6lSTpxBOO0ykHTtA6//PL+vQo\nffyMI/Wr+U9q772nSa94/R333muSZs06QZIUe/R+JTIZ7b/PNOnVVzo8zvEzZ+qwvUb3+nkOVbNn\nz9Yh05q0cdlWjd7nYOmZBTr4oBmadfqB1R4aBlAt/n+hktDvWkmnmFmTP4Pa2ZIWS7pTUvCOfYak\nZSX2fUDSm81snJ/R9GZJDzjnNkrabWan+Mf8oKS7evlcBo1wOVvQcC7rnMY21RVsRxd+DGfBy6RU\nI+32bpSc3TXf+7Vm467Oy+Au/+fLna4bX/S67Eo6W3kJ6nH75YNg+41v0peLAkiBX1x8vCRpN421\nAQDI2epnDm/ZnSiz5fC1p+jz0g/ffYz2GduoVCZbUOpWLN9YO7/NmMZ4wTa72lKq90vX/hyaICR8\n2OA7T7jELYxytvKCc/e1OxZIKt0WBRhoZTORnHNPm9ltkp6XlJb0grzMoEZJN5nZFyS1SPqYJJnZ\nTEmfcM59zDm33cy+KynIcbzcORfUpnxS0p/849zn/xsWwi/+WCiIVNwDKZ3ljRUo1RusO32L5q56\nrew2f57T8dexQCRS+f+su/OaDT+vOz/9+k63i8eCWerokQYAQGBrKHj0zOrtOumA8VUcTW3a7vdA\n+vYFR+iCY6ZK8npOOudlYcc6KfO3XBApv2x0URApmc6WDA6dNmNC7nbwGSrWyWcpPtuUF+4nJZWe\n5RsYaBV1anXOXSrp0qLFCUnnl9h2nvyAkn//Onn9kkptd1R3BjtUhN9HgzfvrOv4RpohiIRhLPjg\nUiqDqD1V+YeOET1sSP2Xj52s517Z0a19Mt34RS2ZzioaMV14SFzjR3Se7RTMhlKuCSYAAEPd0k27\ntdfoBo1pimvVtnxvwQt/O0fLrniLFm1s1rHdKHcfina3p/TM6u2adehkbW3xPkMdu99YTR7VIEmK\n+4GfVMYpFi19jEiJxtqjGgo/TyXSWdWXOMA+45tyt8sFPBau36Xj9hvX9UbDXHGgjkwk1AI6mVWB\nhcvZgjfpEplI3aiMAYaV7pSzTRhZ3+X6UplObzp8sk47aKI+e3apSSfzTjmw8FfP7pSzJdJZvfV1\nU3Xu9HiX2wWzoaQyTjVVAGcAACAASURBVMs37674+AAADCVv+8VTOvenT+jcnz4hSVq9tXCCiq/c\n/pLe8ct/acvu/pnFdbD4xWMr9NE/z9OTy7fmsrUmhT4LBZktiXTnn6WC7yrh1hoji36Uu+B1U1Uf\n7/hV8uDJ+X6uxeVsE/1xfPGcQyRJ37qr83YC8BRncRFDQi0giFQF4feCfE+kjplI3flCCgw1rvSE\njZK6F0Rqqsv/Snb/wo0d1l/7xMoOy37z/hMK7hdPaytJN19yir779nwy5YQRdd0uZ+usR0CY+VPo\nPrpki875yRO68wVm5AAADD8vvbpLkrSp2QsStSRSBevvfsmbo6c1UflnhKFoR6tXwrZmW6u2+eVs\nk0blg0jB56I9yS6CSP5/nfM+A334tOkdyvs/OWtGridS4N7Pna59xuUzkYJdDvIDS2cfNlmLLj83\ndz8sncnquMsf1B3Pv1rBsxw+ij9aGlEk1ACCSFVQ2BPJ+xNs2NmmhxcXTn9JY22gtO4EkcLB2R/c\nv7TD+qse7DgnQKyo/rxUudnYprjGNOWziEY3xrvVIDKZqSyIJHnB5rXb90iSnli+teLHAABgqGot\nCoKk/P8Hf+vOhfr7C8M3ENHkZwwt2tisrbsTGlUfU0M8/4NaU723vtTEJYF8TyQn5wp/kAvEopEO\n/XqKPy8FAY9TDpygK//zKH31LYepqS6mc46Yktumzf87tiTS2rEnpe/8g+yksOIkA0JIqAUEkaog\nHED2Y0j6r9/M6bAdMxZgOOsqhpooUYLWmVTodXTk3qOVymS73cjxLx8/RZK0z7jG3LL6WLRgppKx\nTfHulbOlMqqLdtKMoEg8YrlsqFZmaQMAQG3JjBpC5VTB5+unVmzTF255sUqjqr6gTO2Z1du1dXei\nIAtJkkb4AaHtrakO+waCz2BZJ2Wcy1VOhMUi1iErpjgz6RvnHa66WERjm+J638n7a5wfZAr/WPfN\nOxdK8n5cK14HL4gU/ry5uXl4l2uiNvAqrYJSmUilZpvKkIkElNSd10YQMBrTGNfYprje/JMndNKV\nD3fY7rK3HamJI+v08dMP6LBuxqSRWvP98/XUV87KLRtRF801lPzvsw9WYzzarWb4yUy2ZC+BUmLR\niHbs8T7sxflwBQx72azTtU+sVHN7518CgaHihrmvaNaPHuuwvDWR1jH7jNW7T9hHUtc/Pg0nQWbP\nK9v3aM1rrZpYFEQKMpUu/O0cbSoxeUlY1s9EKtXMOQgsTQz1W2qqL/xx7B3HTdOyK95SsgF34IW1\n3iQmCX/SlFIBq+Eslclq2thGffP8wyVRronawLeRKrASPZFKoSUShrOuPgt2Zxa0VCariEkj62Pa\nk8xo9bbWXEAmzEya981z9I3zj6jouEE6+Jrvn68vnHOIYtFIQdZTV7JZp1TGdUgD70xzeyoXoKp0\nHwBD14uv7tT37l2iz988v9pDAfrVay0JfevOhVrz2p6C5dc9tVpPr96uEfWxkn0LpeE5fbxzTnfO\n3+Dfll7e0KxxTYUTeIwIBXqCAE5ngqqIUt9XgsmBwtlgPfmMEvyQHrQqKG4kPdwlM07xWCRXklgq\n8QAYaHwbqYJwNL+rIBKNtYHSupOJlMxkFY9G1FgX1ZbmRKfbdfcXzMZ44a9qsYhVnIkUpGxX2hMp\nPDZ+aAUQfHZ4vswXQGCw2bo7URD8+XYn/XEuv3uRJO8HoiCDpVhXjaMHixVbWvTU8m16ecOuirYP\nZmMLK85cCTe1bumkRD74rBFMGFLq60rQaPuAiSNyy3rS9Dl4jJX+bHuxToKCw1Umm1UsYrm+VN3p\nCwr0F4JIVVBpEInG2kBp2W6UjaXSXsZPU120T79wFb92oxGreHa2oKdTce+ASvDhAUDwXrOzRFYl\nMFht2tWuE698WL96LD9r6pptrV3uc+6Re6m9k6nq2wZ5EMk5pzf9+HG9/w9P6/xrntKuCl7vK7a2\ndFj21mOmFtwPytmk/I9anQm+ixTPzBZ2zUXHlR1XKcHnqEzW6d8rt+kTNz4nKd/qA55M1ilqlvvx\nsquG6MBA4VVaBeH34a7iRDTWxnDmunhxVBqskbx09ngsosZ4tOBXyT88tbpX4ysWj5rSFabOJ3sR\nRLpv4SbdNX99t/cDMHTw+QBD0aptXgDkocWbcsvKlaSNboypMR4rua6zLJvBongSka4CPvPX7dRJ\nVz6sNdu8sr+bLzklt+7Cmft2/hidZHEF8plInQeRxpWYwbYSQTlcOpPVbfPys+lRzVYom/UmYgqa\naxdnwgPVQBCpCsLR/N1dNMUkEwkorTvlbIl0RvWxSIfpab/rp8J3172fO12/ft/xHZZHI5GKytnS\nmayun7NGUuXlbMW+evuCHu0HYGig3B1DUfD/0HATZiszofnohrg+e9ZBJdcluzGTay0qLsfr6nvB\nTx9epi27E3ps6RZJ0r7jm3LrSpWYBUGmzma7DX7Iy/jvNeUCO3d86jRd9+GZXW9UJEg4ymRdwUQj\nXQWshqNgdrxTZ0zQty84Qpe97ahqDwlQ6dA9+lWlDeOGYT9AIKf4o9LkUfXa4tf6d6exdlsqq4Z4\ntCB9uzeO2Hu0jth7dIflsQrL2f7yzFr9/NEVknoeRJo6pqFH+/3/7J15mBxlufbvqupterZkksxk\n38gKIWwhrCEBIltAkUVROSoIqB8gLgfEBRAFjUdFPe6AgnIERVFAtrAlISQESEIWQvZkErLPTDL7\n9Fr1/VH1Vr9VXdVd3V09XT39/K4rV7qrq6treql6637v534IghgYkBOJGIjoIc6ciJBNTxhSE8Do\nwWHMHt+Ad5qPGB4r92DtHpOTiolIasMQwVBWz0r3WMl7fZUftUEfPn3aWMttzx7foD4vnoQsK7bl\nakzYyybmnTx2cLY/Jw21bE1GQlaohC0DsqJAFAQIgoDrz07vIEwQpYBEpBLg4zoXZLropJlGgkjB\nD5ZycSJF4qoTqSqQ2f6bqXzOCT7RWTkbn2GSqeVtJqqDdOgmiErGaYg/QZQTbEycixFl1KAqANCd\nLF85bxJmjW/AZ//0TtmLSGYnUlJW8NqmQ/jCn1cBULvDMiKao6ilKwpRAKoDEjbce6HttkVRQEAS\n8b+vbcPKHW148ktnWK7H3sJimIPYsC6uNUAhrJFlhdxZhOegX2wJ4J1ImU5wVM5GVDSmrz9/As0l\nWDsST6IqIKWVs7mNT3LmROLFMKetcF//xlwsu+NcXHBsEwBgw74OHO6K5LejBEGUPeV+cUwQVrCJ\nGNHgRLK/eD5tQoP+ODu3Bv2SLkjEy9yx12MKUF66tUUXkAC1XJ8R0QSnzQe7EPRJjrqksYwls4OL\nRw/W5rbXkGcGkhn2mckKUBOknB87WDkbQXgJEpFKAH8gyFSvTXZ1gkjB/25yCdaOxJMI+aSsTqRC\ncdqdjR/XOXUUTRxWgzENYfyS64Dy00Vbct5HgiAGBi3d6W28iewoioKth7pKvRuEDewcmlQU7NC6\njO206DbGeOwLp+m32ak16BMR8Kn3yl1s3X7I+Lff9fT7hvtdkZTIxFcv5Fsqb0UqWDu17NWvz8Xr\n35hb8LYlroStM1LeIejFJClTThThPUhEKgF+7qCZ6QSXy4UyQQw0FJMV6dypw/Tbubj0InEZIb+I\nsKl7izmbrNBfm08UHZWz9UZTM4dDanKbzeOFsHxL4QiCKH++8+/UxaTTrpAE8MjyZlzw8zewKoPz\ngigdTAh5Z9cRnP+zpdh8sDMt+Hn+9Cb9Ni+WsIvskMGJVJ6/jVc+OIRIQsEdT603LDdfFnT2pcrj\n+RJXN0QkNszSg7VFoxNp4rCagl+DN2Mf6OhLvXbBWx5YyLICqvYjvAZ9JUuAJKUOxKEMbRq/9S/q\nwEQQjM+eOR6rvjsfI+pDOeWBROJJLVhb/a2dPrEBtUEf5kwe6ur++UTB0X7xLXrzsYSzEji37OQE\nQZQ3dt2ViHQ27OsAAOxu6y3xnhBWmB34R3piaevUhtQJIbMxg90vdxHpwyO9uPEvq/DQhpTb8LsL\npluue+3Db+t5jnx+ktNS+V9ec2LWdfRg7SI4YeZMTk0O8q6qXCILKgEqZyO8CIlIJYB3QHz9I1NK\nuCcE4V3MZiNJEDC0JghRcFY2xmCBjczFwwaXi7e0uDrAlCQBcSciknbB11QXxOBw7kLQbz5zMgAU\nPeOJIIjygEQk57DRF12iehPzud3KdFyjlYHblfcEfaJ+no+VYSwEE4NWH1L/b6gOYKQWHm4WEvZ3\nRPT1++KciOTQidRUl+r02t5rFOyYG5xVyRVDwrj/4zNw63mTAJhEJEWBoij415q9ere5SkZWlKKI\neARRCCQilQBeRKoO+jBjVKpd+OfPHF+CPSII78POn5Io5DRLxWZwmOgiCAK6tLa5mw506usVmmPv\nF0VHTqRoQsbQmiDe/vb8vGaWWFkfXTgSBAFkzlYkTNB1mKcxi0jm7mQAUFelikjmjqps3ZqgT3fi\nxMvwt9EViRvuf/9jx+mCmZXDqFNbPxrnMpEcOpGmDa/Vb9/8+BrLdZIWwdpuEfRJmNSolsV1R1Mi\nUlJRsHLnEXz9yXX40QubXH/dckOWFUgkIhEeg0SkEsBfOIqCoLfPvPPiafjeR48ztOwkSydRqZhF\nHXbf5zDAmiFrgYRVWukor9u42QBR0srZ+IHt9sPdGH/n81i8+bC+LJaQESwgr8AnifCJAs3OEQQB\nwNihiXCGWYAgvIE536tX605270eP05c1VAcBpOcDNdaqyyc11sBfxsHaXaaA6QuOHa5fN1hNVHX2\nJZCUFUOpvFMn0qBwAB8/aRQAoLnVusTTKljbTZhrzFjOBvRootJ6rQS1kqFyNsKLkIhUAnhLoiik\nhCK/xcwBuQ0IQoUNnURRyClYO6kFErZrAZR8lpCb4fXMYfjYyt349evbAADvauGtL75/QF8vlpQL\nDr0M+kRE4nRsIAiCxgm5IJAVydOYM5GYu4jvZDrEJg/w+5fPwOM3noYxDWH4xOJmIsUSMu5//gN0\n9MWzr5wDhzojuO/5DwzLAj5RF3B4oegHl88AAFz26zcNodTsOU5hDiPze5UWrF0kJwwbO3VHjSHh\nLA+L9N7UZChBeAkSkUqMIKS6Ufi5wG3mmiC3AUGosJljpwHWDDaDc8GxTTh36jB886Jp+mN9sSRG\n1KuZAGw2Ll98mgh89zMb8dOXtwIA3tzeCsA4oIslkgU5kQA1OJTcBwRBAMYyFsIZdF3qTezK2fgM\nwPqw3/K5dSE/zjxGbZgRKHIm0tNr9+GhZbvw81e2FrytSDyJt3a0IRJP4htPrsOOlp60dUSTC2Xh\nFcfj4hnDAaiC1n//Yx0AYKjW8TWXCTI2trITo5m2VCwNw6dd+/ATY7GkrJfp5TLeG6gkqTsb4UHo\nK1liBEHQLbm8E+nuy44FYAzKI4hKwjxsqK9SB45qCWgu5WwKREHAkJogHrlutiFIsieWQGNtEHOn\nDMPgArud+UyDvEg8iefXqw4k/rcdSxTuRAr5JXIiEUQFM214rX5hTYIyMVAwl7P1aeVskigg6BMR\n8osIZ+hqzCh2OVufJm7l4oq240/Ld+FTD63En5bvSstDYpjzcK6ZPRZDa4L6/ZU7Vdcz63bWYCO0\nWcH+AnO2GlsuF7E7GwDdNcYTjScR1wTATpv3pJKQFYWcSITnIBGpxPAXxPyFJjmRCCLFi7fNwRBt\nwCTl6USy4ouPrca6vR2u1Jqbt3GU63TCZkVv/MsqLN7SYngsH/a19+GpNXv1vAiCICqLhKwgHFBL\nfKicjRgomB00rAmGTxTwznfm4+1vz9c7rWbCX+RgbSZO8QLIixsO4HN/eifnbbV1q+OBTKVx/Pji\nT5+fZbveT66aieduPRu//NRJjl9f1p1ISSzefBhX/Ha5IY81oZezOd5kTvi4KoyzJw3Fhcc1IZqQ\ndUGRnJaaiESZSITHIBGpxAhIHcD5craQX/1o/rVmHwVAEhUJ/71nJWeAJiLl8JNIyukzOI/fcJrh\nPnM5FQL/+wWAgx0R/XZIE4Vf+eAQAODDI8b8gnxZs7vdle0QBFFeJGUF1UH1uNIVSeC59ftprOAA\n/VRAb5UnYYIFo7lVLe0SRQH1VX7UV/kNpW12MGdwsZxICTl93P7lv67B0q0tOZdfscmgWEK2/Vry\nY5jBYWvX9PQRdfBJImaMqkddKAcnkvaisgLc8vgarNnTjh5ugqqjL5G2D27CC3F7jvTiuJH1SMiK\nLo6XYzi62ySpOxvhQUhEKjGikGpXzrfkDGoXnb9evB2LNh4qyb4RhFfgZ2BUJ5LzQYUspzuRzpw0\n1HB/OCdS5YtksmQf6kyJSGanwB0XTS349QAYBnoEQVQOCVlGteZE+t6zG3HL4+/hnV1HSrxX3ocu\nw7yN2Ym0U8sH4svFQw7K2QRBQEASi5aJxMrOrBri5BpD0RNV148nZdvyOH4IwxyIgPG64SPHNuX0\nuowFM0cAAJrqgoaOd2xXWrujAIqfiQSo+ZEsM7Jbc6FRrAfLRKKjF+EtSEQqMYKgltsA1uVsANUD\nE5UJP5TiZ2CkHDORnLRG5bMF8sWXwYnUZxJ7PjFrTMGvBwDdERKRCKISSSQV1Ggdqw5qgjW7AN/T\n1ovxdz6PxZsPl2z/vI5CViRPYu7Otu1wNwDjGIAXUTLhl4S0jCU3+MeqD/GbxTsApJ/3AeD/Vu7O\naXvMiRRPKLalW/wYhndinTR2kH6bVTDkyoXHDcenZo9BNCHr1yNW83TFciL5uQm4gCTqmZGPrmgG\noIpIle6ylBXqzkZ4DxKRSoyaiaTe9nNhu/xMi7lMhnAXyp3yPnw3s1wzkexao/IDMSf2+GwMMpXE\nHeCcSEd644ZBkBuvBwDf+Me6tDBMgiAGPglZweiGKoNDgc3cr9qtOpKeWbuvFLvmaeg6zNvYndt5\nEaXKgRMJUMfUxSiFYsIWAMsmGQtf3Ox4Wx/s78Srm1SxN56UEbEJyefd2NXBlIj24Gdn4S/Xz8bv\nrz0Z1581wfHrmhk9OIz23rg+nkgqSprQ2h9OJL9PTHMLKkpl577t7kyiO5qg7myE56CvZIkRhMyZ\nSEB6mQzhLo8sby71LhAW8BNPPil/EUl1IqUvrw2lBmL5zuDx1Gki0qhBVQCAN7a26o+t3NlmGASF\nfO6ISACwqzW9HTBBEAObpKygOuAzuDI6tWBe5uawKrUhVCrc2OBZ7EQfn834OBP+IpWzdXIB2PGE\n9fadOmcu+d9l+u1oUrZ1FxudWKnxQ32VH+dMGYaLZoxwVOZnxzCTG9ucTQUUMxOJ266ipJU0Aqlu\neJXIPSvUCUlyIhFeg0YYJYbvzsbXNvMXmX6qgy0q7QV2yiL6l3yCta0CCfnZPDdEnZH1qnh02Qkj\nAQCbDnQCAI4fVY+WriieXbtfX7fQLhtMqALISUcQlUg8KUMSBVx58ih9Wad2ARrTLsT9Fi6JSkfQ\nfA6kIXkTuwki/gLaaav5gFQcJxIfMcG2bz4Pr959NOftxhOyLqBMGFpteIz/+4NF+F2Pbqgy3Lcu\nZ3P9ZQEY3VxnTRpq+R2o1Fwk3mn+bjNl3hHegkYYJUYUoAdrGzKRuJkGK1WecI/eCp7h8Db2tnan\nwdrst2Ul2hhEWxfKy8YOCeON28/FHRdONYg8P736BADAHU+tBwB85bxJBb/Woq+dg3suOxZA5Q6u\nCKKSScoKfKJguKCOJlIBvYDxGEeo0GS+t4nbzBD58nDk+yWhOCJSXwLHDFNFHibYtveqwhI79x/p\nyX1yMp6UkZQVfPykUfjPrWfbrudURMuFMyYOMdxPKkqaW68YrwsADdWpbnPfuGCqtROpDMY5z67b\nj288uc7VbfZEU8601m6a8Ca8BY0wSoxdsDY/00CZJ8WFOlyVF3yOWDbYb8vKicRnLLhVXjZ2SBii\nKOCpL5+J68+agPfvvRAjBhk7v40eHC74dWqCPswcrQZqkhOJICqPeFJGwCcaSmsicRkvbzyol84u\n395q9/SKh8rZvIlVGRWAtOYYP77yeDz15TMybstfJCfSrtYeTB9Rh7qQTx+fb9dykq46ZTSAlLiU\nicVbjMH3saSMRFJBU11ID81ntPcVV0AwC0RJCzGvWOVU/N8qiamO1TxeLWdrbu3Bxv0dAICvPPEe\nnlqz19Xts+uTyY01ePCzp7i6bYIoFGctDoiiIfDlbD5jG3NGMU6CRAq+G4aiKEWbbSFyw26Q77MZ\nZFiRzOBEMrYMdldPH14fwt2aU8jcHcbvc+f7xcJFIzbdXAiCGJgkZQXxpIKgT0KUO7489lYzjvbG\nMbRGndnfdrgb2w93Y1JjTYn21HvQ6d3b2DnvzSLSJ08dm3Vb4aAPnX3uThJG4knsa+/DNaeOwcqd\nR3Sx6No/vg0AGBxWsxHtuqwxdrf14LpH3jUsiycUJGTZmBGkMXFY//6GkxYDsGL9dARBwOCwH3Mm\nDwMAnDNlGH72ylbDOl51Is376RIAQPPCBfoyN68jWKXEbfMnY9rwOle2SRBuQSJSiREFQQ/W5u26\n/O07/7UB18zOfsIkcqMnmsBx9ywq9W4QOSKJgu1spRn22zIPQM3LCgmkzIbPVFLiVtgtE77IiUQQ\nlQVzPwR8osGpfFQrqeHLHnrJaWuJufMU4Q34SZfzpzXitc2qW8fqHJ6NCUPCeLc592yiTLR0RQEA\nTXUhBCQBcVOlAAu6z9ZNzGpyOJpIQlaMIeKMUYOqDEJFsbGKDChmj5/37r5Av33CmEEYXhfCQa7D\nrRdjJ2748yrL5bGkjKAL7vbeWAIX/PwNAO519CUIN6FythIjIOWW4EMwrU4ihLus39uRtows7t6D\nZQoxJFGA05gw9tuyKmfjhdpiikhm3BKRWG4aiUgEUVmw7KOggxbm1NHHjBasTed6T8KHKvPnSit3\nTjaG1QbzyibKREu3KiINrQ0goP3+EkkZogA01gYx/9gmAKnfqB1WItM6bUyaz9/qNlaHlf506TMB\niWU1ebGc7dVNh/Tb/Oe97VC3K9tv7Up9d9121BGEG5CIVGJUJ5J6288JR1YXvYS7tPVE05bRuNI7\nsM9ixiijhTcnJ5K2mlU5Gz+zWVVkEYkfFLoVdstyBPhOMQRBDHzYBWjQL+K/L5iKqU21tuuSiGSE\n3g5vwwdr8xOr+TiRJFG0LMsqhA7N7VdfFYBfEhFLyjjcFYWsqCVHzCGczYmUqQxd0ia45o3x4Svn\nT3Zpz7Nz96XH6reTsgLF9N6V4lhy09yJALw/WdbBZdNd/fu3XNmmzL3/c6cMc2WbBOEmJCKVGP6Y\nzF9c8he9J40d1J+7VDHYtZIlvIVgqsQXBcGy/awVqWDt9MdO57qRuJ2JZObvXzxdv+2Wy7Am6EPI\nL1LHDoKoMFjeStAnYcaoeiz62jm268pkubGE3hVvYnQiWeeEOkUS3R/nMTEjHJBUESmh6J3ZGsIB\nfRyfLRMpmkEUYX/3548L4usfmeLGbjvishNG6ret3rdSGKSmazlAXixn4+HLit3Kb+KFyMFcBzuC\n8AokIpUYXkSyK3NJ2LQ8JQrDqpWseeaFKB2ZgrXZAOeD/Z344mOrbEs69HI2i9HPredN0m8Xu5xt\nDNeRza1yNkEQMKQ6iMff3uPK9giCKA9iyVQ5WzaoMQdRTvDfVz4HJp8SL0kULR01hRDRypZCfknN\nJEvKaO9VJ3IGhQPwSSJ8opC1nC2T0JCPYOYG/ES2dbB2/+8XK9vfdrgL1z78Nro84rw2N0xxs4v2\n5oOduPnxNeQyJzwPiUglpjbo12/bXVzSILA40PtaHpgd1KIo6B1cbv/nOizaeAhbDnZZPpfNwluV\ns/HLnFyMFUJjXUi/7ZaIBABDagLojiZI/CSICiKiO5GyH0vsul0RhBdhEz+NtUHcfuE0fbnVOTwb\nTHhy8yfQF1N/e1V+CQFJRDwhY3+Hmt/ToLlFakO+rALAmj1q4PecyUPTHitVJhLfOTYpy2kTef25\nW89/5Ww8e8tZetTAI8ub8eb2VizaeCjLM/uHmOn6weyUctpB2Ir7n9+E59cfwGItVJ4gvAqJSCWm\nrirVIM9vU+ZCg8DiYJ5JAMji7iXsuudIYkocYgMMO6vzpgOdAIBBVZmtwP0ZGOlWJhIAXDpzBACg\nO0qhiwRRKbCSmiDnoLzurPGW69JkiRH9SE/CuyeJywrOmTIM73xnPuqrUpOs+TmR1Oc4zVB0Avvt\nhfyi7kRavfso6kI+TGqsAQAMqQmiLUuZ+W8W7wAAXDZzZNpj5o6u/QU/wVXqYO3jRtZj5uhB8EuC\nwZnllfJcc7niUc2NNqw2CCDlWMsHJkbubuvNexsE0R+QiFRiBEFAU11Qv22FldhBFMZ5P12Cu57Z\nWOrdIBxg/lX4RFH/TTCr889e3mL5XNaO9/hR9UXbv1zhZ/sKZVBYHWywTAaCIAY+XRFVNK4LpSah\n+FBcHquybYLwKklZhj+Lc9gpTHxwMxeJL2fzSwLiSRmReBL1Yb/+ekNrAtiwr8ORQ/ijJ45E88IF\nGBxOCWalKmfjhbqknD6NV4rdEgQBYU4s94rr2hyc/l9/fAeA6qADCstwYp2DWYc6gvAqJCKViB+e\nXYW/36SG7T5981l45LpTbdelQaD77GztsVzukfMTAfvPgu9oWKfNVL6960jGbUg2Lr83bj8Xj31h\ndkH7mSvVAV/2lRwySPv7H3xjp2vbJAjC27BSmTrOqSEIgj6m4KFJKCNsro5O9d4kkVQsRZR8nEi+\nIohI7Fwb9GlOpISMaCKJoC8ldEwfUYe9R/vQGbF2CPPuQJbHyO9iqcrZBEHAl+YeA8AmWLtE+xXi\nsrG8cjizy7xq0qILeqP5i0hMvtt7VHUi3XZyMO9tEUQxIRGpRIysEXGa1h1qRH0Vzp3aaLtuQpZx\npIc6MBGVidmg55NSwdrDtRP2x05Mt4QDXCaSzdhn7JAw5kzu39apNUH3RCTWseOxlbtd2yZBEN6m\nU2snXRfyG5bPopOiGQAAIABJREFUGt+Qtq7Xuxr1N6UIByack5AVy9zAfNw5rCW9WyJSVySuu34F\nQVC7syVlROOyIZ9s/JBqAKqAm0jK6DP9BrssxCXeYVPKycyPHNsEwC5YuzRUcyKSZ8rZNCfSF+dO\nNCxnTqSeWP4RAwfaVQfSoU7VST9lcHEbvxBEvpCIVAYc6ozi5B+8glc+8Eag3EDGLoeH6H/sPglJ\nFPSMg6VbWwDYdzBkY0exH2v5s1HtpojEWeALCXIkCKJ86NBEpNqQ8Vhi2YXyiff6ZZ/KDY9cixIm\nEknZ8nss5XEO90ksE8mdD9s8zgj4RMSTMmJJo4jEv+4X/rwK0+9+yfA8JgI/8IkT9GVncwHb1cHS\niQapEsD0YO3+zETi4R2XnhGRtEykxtqQYXmqnC1/EWl7S7fhfpV7Q0aCcBUSkcqIG/+yCgc6+kq9\nGwTRzxgHLgFJRDyptu3dflg92dqFx7IBh4c0JARc7ARXzwWGm7uFEAQxMGntjqE26NNLYXh+ec2J\nJdij8sFL5wIinXhS0UUYnnycSOw5bk2wMDHqK+dPBqCORWIJ5kRK/Rb9WqZNPCnrE13/WrNXfzyV\naZYSRx74xIl44Stz8PiNp2H+9CZX9jcf2LtspdWUqJrNIJbf/cxGrN5tHV/Qn7BytkmNNXj8htP0\n5UNqVBHJHLydC7xzrSbo89QkKEHwkIhUZvzs5a2l3oWyh3XXsMIjkxwE7AMUg371sMUHG9rNNCp6\nOVvpT8InjBnk+jaH1gT0/ARz0CNBEAOTlu4ohtZa52SYS9pOGTe4P3ap7PBKQC9hJCkrlplA+bhg\nmHvJLScSK4sbUa+6T/zahFY0kdTHJUDKicSX0X39yXX6batMs5BfwrEj63DmMUNL1p0N4DLDlHRn\nfqnGUeay3c8/8m5J9oOHdcStCUo4XYsmAdQ8LKCw8ViMey77rhGEFyERqcwoVeDeQOJ7z1JXtnLC\nPG5hM378SdreiaT+7wUR6W83no53vzPf1W0KgoB7LlO7MlErb4KoDI72xPQ20Gb4/JBJjTV691dC\nRXdalHQvCDsSsuyaiOJ2dzZ2jmXbTQVrG8vZ2ON2TXE6bcpRvQDLDLPa81KNo8zvkxeug3g3GR84\nzvbVLng7G4qiGFzlU5pqC9hLgiguJCJ5mB0/vAQ3n3uMYZmVzZfIjQ8OdJZ6F4gCYIM13vJrJ6Cw\nwaMHxhyoCkgYZuMeKAQWQhojJxJBVASReBJVFqVsABDmuj9KguBqZ6qBQKlyXQhnJGQFfpdO2FaO\noEJg22Eihh6snZAR4MvZtHPy/AeWWm7HyonkFVJOJItg7RL9dMzHusFhawG9P2GfYa3JJcXGp/k6\nkcyxBPVh731HCIJBIpKHkUQBAcl48PSJ9JHlw4dHevHv99Sa9EyzKeRw9z7sJN2lncSBTMHamojk\nBRWpSLCMJRKRCKIyMAf58gRMjggyKFpD53pvkkgqkFwa54oul7Ox7TCnFHMitffGUM+lH9s5ZVg2\nU8rF4kEnEhORkP4bKZWIZM5+a+mKlmZHOJZtbQUA1JlSr9nxNxqX8f6+Dry5rdXR9p5890PsPdqL\n3y3ZAQAYNagKAJXdEt7Ge0cwwoDZeeQFG2c58vHfLkdrdwyXnzgqr4BGonSYP62gNqDoiqa6X8Rt\nM5HU/71QzlYs2KCFytkIojKIxmVDBouZb3xkCs44Zgju/c8HSMp0XCDKh4Qsw++S455NurrhRIrE\nk3qeJhuHB7T9PNobRwPnjvHblON1xxKoC/lxoENt4V4d8N4lmF7OZiFelGocxYtIkxprsP1wNxJJ\n98oe86GlWxWyzC4pFrfQ3hfDpb96EwDQvHBBxm31RBO446n1hmVNdUHsa+/D0Z440GDzRIIoMWRr\n8Tjmk2kpD5rlTGt3DIA6mMiUEWEOEiRKh90EDJuB745wIpKNC0d3Ig1cDQkBqTD7NEEQ5YWawWLf\nBvzW8ydj1vgGiKIAG5NmxUNvizdRnUjunLDdzESadtdL+Nhvlhu2y7v++Iwyu9iJzr44FEXBH9/c\nBcCbDmljsLYRL4hIV50yGkDpxztJWcGcyUMN5bHVAUkX93/4wmbH27Jy0rNGLBOGVRe4pwRRPEiR\n8DhmWy85kQpj04EuvLDhYNryr82fAiAVxEx4B3OGRUAvZ0uJSAmb2XYvBWsXCz8rZyMnEkEMaFq6\norj5r2vQ1h21LWfj8YmCa+3NBwoD+FRQ9vzfyt1IyIrrwdp244NcYWIUm9zlHUeDeRHJNG6fqAkB\nK7a34eJfLnNlX4oFX85mplSXH1Wc65I5fzJ1We4PZMXYRfCN28/Fsm+eZ3lc7o0l0pbxRJPpf8v0\n4XV47taz8dX5kwvfWYIoEiQieZx0JxKNgArh84+8Y7m8OqiemCiE1DvYucL82gCNPzFny0QayBcO\nLFeBdXwhCGJg8qvXt+H5DQfQE0s6EpEkQXDtApogis13n34fgHGy9LEvzMa3L5mW1/Zqguq5kXct\nuwGb3B1ak3K1804k87h9wfEjAAB3PLUemw92AQA+c9pYV/fJLVLlbBaPecCJFNIEpUgJnEjbD3ej\nVStjMzvmxg4Jo6E6oDvDeVq7YrbbPNwVwez7X0tbvvVQF2aMqs/oOCWIUuO9glzCgHlGg5xIhdHW\nY30wZycDmrX1HuZvPPtJMDuzXxJsXTiKXs42cH83w2pCALwRNkkQRPHgL1qCNt3ZeEQRIA3JGgqs\n9S78ZOmcycMwZ/KwvLbDuqGy/Bq3YOPwqcNT7df5jmFmJxUvNjHuu3yGq/vkFiknkpKmJJVqGMV3\nQAuV0Ik0/4GlCAckfPD9iyAr1mWXVkJbS3cEY4eELbe5Ynub5fLZEygIifA+5ETyOGnB2pSJ5Co/\nuuJ4bLz3wpSIRANLz2D3UTBBiA0iQn7JVvyrhHK2obXq4JXlfhEEMTB5ZHmzfttqxtuMTxTJiWRC\nME1LLNp4ECd+/+WSl8cQKdyaLB2miTduT7Cw/WuqC+nLDJlIpv1nYhZPqVw92WB7ZTX+KtU4anJT\njX6bOXOi8f49rrExZm9MPU4kZMVxt+xDnfbfP7u39ILjhue2gwRRAkiR8DhmW6y5EwCRmR0t3TjU\nGbF9vMovoTro00/oSRKRPIf5JGtu2xv0ibafWyUEa7NjQl+WunuCIAYOVQEnTiQK1s7G957diPbe\nODk5PYTTi/NshALFaTrBJndZKTlgFJHqq/yG9a1EJK/ixUwk3smVKmfrX9G3wxQXkJQV22D0uVOM\nzrkdh7ttt0sRGkQ5QyKSxzGfTAfyxXAxOP9nS3HaD9PrjRkspFkSWDlbv+wW4QB7J5L6fyrkUoRd\npjQ7P3t11s8NBEFAQBIRo6tFgqgYQg4mlHyigN4oics8fPcpIOUs6I4mkKDmBJ7ArexPNq4r9ELd\n7HRmmUj8uIL/PZpFo6E1QYyoD6EcYH+ToqSnUpbKicTnv5WqnK2dE5F6ogkkZcXWMXfvR48z3N/e\nYi8iJUhEIsoYEpE8jtmJRMcbdxk1qAoAwCoDyInkPczlB2yQw8K0fZKApI36pyhKRQivfklAnC6A\nCKJicJLp8/rmw9h2uBsfHunthz0qD/RyHe0SuU+7GL34l8twzYMrS7RXBI9bTiQWU1CoiPSHN3Ya\n7vPigZWQYBZ4Rw4K4XNnji9oH/qLTOVspZqL40Ukdru/y9minPOptTuKpGydiQQA44dWG+4/s3Y/\n9rf3Wa5LTiSinKFgbY9jPplSZo871AZ9ePT6U3HCmEEAUjMsFKztfVJOJC1YWxRtT8SyogzoPCSG\n3yeSiEQQAxxBSF3cxXNwHu5u68WYButg10ojlX+o3veJAlia3KrdR0uzU4QBt5xIgiBAEAofN//6\n9W2G+0NqUqVrK751Hjr70t1+i756DkRB/c0GfVLZRFHoTiQoaUJSqRzdfBZsqZxIvGjV2ZdAQpZ1\np5sTdrR0Y6Q2ac1DIhJRzpCI5HHMJ1M63rjDsSPrcMq4VPcDXUQikc4z2H0S7LOKc+Vsdr8LWRnY\nodoMvyTmdFFJEET5EfJJunPGzn1p+Tw/mc4ZTERipWtBn6iXtBHeIJeLcyfbKvRCvcf0/RhSnSpX\na6wNobHW/Axj5zbAWYaZF8gcrN2vu2KJLiL1YyZSS1cUu1p79Ps7W7uRlAEpg9gZ9ImGLC4755TV\nd/N7lx1bwN4SRP9BIwuPY+7AQm1pC2Nqk3piD/iM76tbtmfCfczjSfNFgN8n2HYgkhWlZBbs/iQg\nkROJIAYyiqIYSipOHjfY8XPN57tKhp0/mOjOByIT3sDNUZgaLu/uuC6f31P5OJHU/73UnY2HCeL9\nWc526v2v4qt/X6vfv+1va5GU5YxdBP/r9HGG+302zinzNUfAJ+LzZ00oYG8Jov8gJ5LH8ZtOViRy\nFAYTG8zinGiyuBOlx04wZeMYFkjoE8W0QPRXPjiE7z+3EedPa/LEwKfYUCYSQQxsErJiOD+decxQ\nx88158oRqbHA0JogdrT0ZFmb6E/cdIRLguCJmIJw2TiRWDlbKjdMf8wDh5GQrzTlbGaScuaohG9f\nMh23zZ+M47/3MgCgvTdmuR67pltx53kkaBNlhyM5XRCErwmCsFEQhPcFQXhCEISQIAiPCoKwSxCE\ntdq/Ey2edy73+FpBECKCIFyuPZb1+US62OGBc2FGOvri+OfqvaXeDVvYAdtcJsgmFKiczfuIpo4r\nAUlMm2n87tMb8OGRPhzuinjCgl1s/OREIogBTSFtyqlhRAr2VizaeAhA+sTcY28102RdiXFT9JFE\nwbZ7q1MmN9YUvB/l50RK/wy8MCGXKmcr3Xhn4rDqjN3ZAHViujbk1+//+719aetsPdSFJVsPAwAG\nhwMI+SVHXTcJwitkFZEEQRgF4CsAZimKMgOABOAa7eHbFUU5Ufu31vxcRVEWs8cBnAegF8DL3CoZ\nn0+oF4c8Xhc5bvrLKvz3P9Zh71FvdoOZNV7NQfr8mUa7qFutYAn3yJaJlOAEwaSsWA56uiIJ3WU2\nkPFLImIJ+u4SxEClO5Ie3psNVr6dS37SQIe5K7YfVttum1ts3/XMRmw+2Nnv+0WkcFP0FF0I1u6J\n5v7bM8NnIt1+4dSCt1dsFKSXtJVyJDVzdD0+OWuM3p2tVE6kY4ZVo8ovISErGTORGJ87Qy1rW7On\nHZF4UhdIE0kZF/z8DSzf3gYAtp3eCMLLOC3s9QGoEgTBByAMYH8er3UVgBcVRfGmuuBRzLXXXs9E\nenvXkVLvQkZmj29A88IFOOOYIYblqXI2b7+/lYh58kvvzpZkIpL6G7HS/zr64p6YPSs21J2NIAY2\nrd3RnJ9z16VqQCsdGlKYT/FWeXqFuL6IwnHfiVTY9rqjCXz+zPEFbYOJSCG/iJvPnVTQtoqJPlzy\nWCbSs7ecjR9fNROiKCAgiYj0YyYST2NtCL2xJGRFcRQAf+/HZui3p931Ei7/7XIAwKTvvGhYj0Qk\nohzJKiIpirIPwE8B7AFwAECHoijMTXS/IAjrBUH4uSAIQduNqFwD4AnTslyeX5GUUznbyxsP6re9\nOPE5bkgYV88abfmY3p3Ng/tdsdh81wWTEymgzQYt2XI4bV1VRCrO7nmJAGUiEcSApiUPEYkaRqRj\nficSFl0trZY54bn1+/G0RdkKkRtufl0lUShoclBRFHRHE6gJFhYhG/arz/f6GJONhc15SPxjpSbo\nF/vViVRf5ceYhir8+frZGDckjO5oAoks5Ww8f/r8LP32+r0dlmO1ShinEgOPrEdFQRAGA/gYgAkA\n2gH8QxCEawF8C8BBAAEADwL4JoDv22xjBIDjASziFjt6viAINwG4CQCampqwZMkSZ3+Zx+nu7nb0\ntxyNGA82O3ftwpIl3hyk3PRSKpxyxcqV2FntrY4we4/0YunSpZaPbTys2pXfXbUKbdv7pybZ6Xeg\nUtm8Nw4AeHvlSmyvSn2XDvaov4l9Bw4AANqPqHbgL/x5FR69qBoAEIuqIYZHu3qhAJ5+n934HkS6\nI2iNK57+O4nM0PGAAOy/B+8cUM9R88b4MK5WdPRd2XJEvdBa895aRD+krA0A2L07FXD7+uLF6Ozu\nS1tn8co16N2du2hwizYGGtSxTV/Wl1BwuFdGY1hElc/ZlWIlHgt4oWfL1m1YEmt2ZbuJeBx79+3H\nkiVteT0/mlQD7Q/v242rp/gxKCjk9dm0R9VxS1KWHT+/FN+DI9o1x6bNW9DSaxSSli9/E2F/6dUO\nUUmiec9eLFnSUtTXOdgjoyEkoCcSx9nDAWX/RnS0xtDSpY5NP9yzG0uWHMi+vwAWTPDj+V3q8557\nZUnaOnbXJkBlHg+IdLz4PXBylpwPYJeiKC0AIAjCvwCcqSjK/2mPRwVBeATAf2fYxicA/FtRlDhb\noCgK++VlfL6iKA9CFZkwa9YsZd68eQ522fssWbIETv6Wtu4osORV/f7YseMwb55H66lfel6/OevU\n2ZjkQhhhwXD79LETR2HePJv89i2HgTXv4oSTTsYpObROLgSn34FK5dC7e4D3N+D0M87AqEFV+vLd\nbT3AsiUYMrQROHAAI4Y3AYfUClv2fgZXvAZEI1BEH4I+ydPvsxvfg2cOrcW7zUc8/XcSmaHjAQHY\nfw+OrNkLrFuH718zB2OHhB1tq3b3EeCdtzBj5kzMnTLM5T0tT97q3QTs2gkAmHPOXARXvwF0G7uz\n/W5dFN/81PzcN66NN/jP77N/egdvbG2BKAA7f7TA0WYq8VgQT8rAIrXE5/K5p2D2hAZXthta8Rqa\nhg/FvHkn5PX8w10R4JXXcPyxU9PatudCdzQBLF4EGXD82Zbie3CwIwIseQ1TpkxF1dFeYNcO/bFz\nzplTsCPLDereeR0Nwxrsx/MuEIknMe2ulzB/ehMSSi+mT56AefMmY5u4Ey/u2gQAmHTMRMyb56w0\ncd48QHziPby/rwNTZ54MLFlmenye7XMr8XhApOPF74ETq8geAKcLghAW1DqS8wFs0txF0JZdDuD9\nDNv4FEylbDk+v2LhM5FUW24JdyYH8sluuuOf6/DQGzuLsDcqC6+cafsYs/17PXOqEjHPe6WCtdUZ\nM79FuCFzXccSckXYhBuqAzjSY91CliCI8ufrT64DAPgdulkAQBK1vLhyGTj0A/w7kZQVy0wkN3l7\np+qAkRV4tuFIKemMxDHvJ4uxZvdRAMCNcya4JiABhXdnm33/awCAmmBhTj7WnW2Ix9u4693ZoHgq\nWJsn5JMQSRS3nC2mfWle3aR2cawKqOLZsNpU8sqgsD/9iRmoDkjoiSb0fT9j4pAszyAIb+MkE+lt\nAP8EsAbABu05DwL4qyAIG7RlQwHcBwCCIMwSBOFh9nxBEMYDGAPA7NWzfD5hhO/O5kaXif4in+4a\nT67ai/tf2OTaPvAD5298ZEpaSDmPuW08UXrsvkJskOPks4onZc/U8ReTEfVq2OOGvR2l3hWCIIqI\nuWNrJiRTfhxhnChKygqSSQXnT2vERccNN6x3uCuS03b5nJNYQsZbO9rw5xXNCHNduZ5bn730pdJ4\ne+cRNLf14pMPrgRgvEh3A1HMf9zMT8zMGleYsCWJAhZecTz++aUzC9pOsdFztT0WrM0T8kt4eeMh\nS1F28ZbDONCRXqKaK+a/v1r7HdeGUk6sq06xzli1IxzwoTeWRFQLBb8yx+cThNdwNBpRFOUeRVGm\nKYoyQ1GU/1IUJaooynmKohyvLbtWUZRubd1ViqLcwD23WVGUUYqiyKZtWj6fMMKCtU+f2ABBKB8n\nUqYLfCu3T4zrhuLWrCkvZN16/uSM6+oiUpmIdJVEenc244VR3CIElT1FViojsPB0bUbrwWXFc/IR\nBFF6/KJzEYmtSpMjKfhTfHc0gbisoLEuiFvOM5alfOHRVTltt48L+l2z5yg+9dBK3PPsRhzt1VMc\nMDhH50Il0BtLGO5LOXy/nSAJ+Xdn29GSuiwZPbgqw5rOuGb2WIwfWl3wdoqK7kSyeMgjY6mgT0RC\nVvCRB94wfH8SSRnXPfIuPvrr5QW/RsJkXwtrZXzMUVYbVKMScmFw2I/uaAJHe1VxcnhdqOD9JIhS\n4q3kYyINURSw6Kvn4OHPnQpR8G65lfkkbecQH3/n85jwrRfwX39827C8rSfVeWZfe+GzCPw+3X5h\n9gypVDmbKy9NFBGzayxblw7BKyOfIjJjVD0mN9bgUEdus+cEQZQXuZSz+Vg5G53YdPh34rQfvoaW\nrih8opjmVD7YmduxlD8PXaO5aszUV5GIZObfpm52FtXpBSGKQt6Tg1f//i39diWMIwBA0FUkJa1D\nm1ecSKzUrC+exLF3L8IrH6glZ6yDZUtXFMu3txb0GuZrGuZECmoikpTHF3X6iDoAwEPaZF+u5XAE\n4TVIRCoDpg6vRU3Qh0hcxj9W7817O4qi4BevbsWu1p7sK+eI+UI+20l72TbjAZ63DffG3Kl1ZgNn\nyYEVRcyhRIroH+w+CfZZsTbMe4+mi478gM8qM2kgMrYhjB7TrC5BEAOLnMrZtFV/9vIWNBfhvF+O\nWA1NJFFIa9edq+ATiXm8d7tHMZ+dpRy+306QBIEywXJAyOBE8oqre9rwWsP9D/Z3AgAOdaYmoz/z\nsHGiOlfMJcBDa9QyS+ZEkvIQ1OZNVZsbsOudkJ86ZhLlDYlIZUYh4bkt3VH84tVtOPenSwz1+27Q\nZxaRcjxpt3OWb7f2je2Dk4O9KFI5m1cRTMNMJhC1arNOX5uvliqeNHaQ5fMzZWENJHySoAtrbnC0\nJ6Z2hyQIwjOYxY5MMOfAjpYezH/AvoV0JWF2VwDqOcLs1mrMMZsnU9Dv/1ylNvWIJxXsaOn2rKO8\nFHRGjBMfuXy/nSCJAvriSazZc1QXkxRFwfbDqVK1jt44WrqM57qOvjgqEXbMUBSkKUlecWN955Jj\nDffZb9pcGpkviqJgy8Euw7LGOvV4EPKr48l83gufJCLoE/WJz6BPxFfOm4SfXp1f50CCKDWVcXVF\nqHAnhG8+td7VTfdp7qGPnTgSQO72eVYjDLjnBmIldaKDQQkTmmjGyjvYfYXYx7lNGwRObqrF7AkN\nen6YmVxm7ssZnyi62mnopB+8glPue9W17REEUTi5XLz4uHwZCtdWsTqvhHwi6quMXbNGDcotA8eq\nrHrZHeeieeECnDpeDWVevfsozv/ZUjy6ojmnbQ9kOk1iTT4Oj0yIgoAlW1pwxW9X4O1dRwAAD76x\nE/MfWKo7WM5c+BpOvd94rnv87T367VXfne/qPnmZVJ5k+g/FK06k+rAfXzh7gn4/qmWq8tmq44aE\n897+E+98iOsefdewbJjmRNLL2fIcVgYkUb/GCfpEfP2CqTkHdBOEV6iMqysCQOpACwD/WrMPB13M\nT2FOpGotfC6bEHT8qHoAwH/W7ceT736Io5zDyq0LYeYqclLNxEreaJztPcxjSnN5oiQIqmXdRnWq\nGBFJEly5UPzzimZc/fsVLuwRQRClxOWM4gFLKCBhWG0QL942R1+WqyvZXIY/pakGYxrUC1nmrmHu\nBuqimaIzEsd50xr14Gonk365wI8XmFPl2XX79dcGgB6LCAXmOAFSpUyVgF7OZvH194oTCUhlFAFA\nT1T9XFmTlVGDqgpyZW852Gm4v/W+i+HTxpHstzw4HEh7nhP8nDO+UlzyxMCFvsFlRKEhbLyIBABb\nD3XZrJk7zIlUo4lI2Rw9rGTt1ifewx1PrTd0MLHqtpUPejmbAxEhl7bxRP9gVXYApA9kBEEdKO5v\nj+CtHW1p61fKidonitjd1ovth7uxevfRvLdzz7Mb8W5z6vlUekEQxEDB6ngW0rosTR9Rh+8umI6A\nJBpcDdl49YND+NXr2wAAYe3idmxDqguXT5vJ6tUm2yplYsMJfbEkxjaEdbeW2zIFL0qxj35Pm9oa\nPp6U8SaXz8mP/6oqNK+GxQewajYP6UYGWLc0AHhy1YdIJGX84LkPAABNdcGCYjHMQiY/hmyqC+E7\nl0zHw5+blde2+YzOQXkKUQThFehMVkZcPGN4znX6POZBkZv5P8yJxEQkq23zJ2jzvvD16G7luuSS\niZRyItEFs9cwf3rmiUpRFCCKAva19+FTD6ldcfgBhF2Z20Bj6dbDAID5DyzFlb9zz0kUiVNgLEGU\nI3SRko7VPFEV52q4Yc5ETBxW7UhEemfXEfzva9tww19WYfl2dQJjcpMa+hvknCysrLBPc8L4KqTZ\nQza6owl0RhIIFnGih3+r2fiuS3Ou9ESTuJbrFMyX1lVs6LHuRHI+fi4FvMgXicuY8t0XseeIKg6G\nA76CXNl9WZr73HjORIwenF+5HBOQLzthZF7PJwgv4cu+CuEVxAwlO06ImoIfky6G8GYqZ/vdkh34\n8UubseF7F3D7YhygPbZyt3477lI5GxMSnHTn0jORSETyDPaZSILpvmmgKCuG71+ldGczB5TKsuJK\naUAknjRcZBEE0f/4RAE3nTMxp+fUBH2YNrwWmw+65zouZ156/4BhrMHgS5cAYPPBLmw+2GU4hr65\nrdUgOOz44SX4xB/egpmoNhbihRFWArP1kJrjxzuRLvj5UoQDPjx981n5/llly9f+vhZAcUOs+XI2\ns67QHTWeM/nJTzbMONmmYcdAxawZiaLgyZwHsxDL72I4IBXkRLLKN3MLNqkZrlSRkhhQVMYU/QDB\nJxaWeVIsJ1JfLInvPbsRAFATVA+MvBjz2yXbARgHCvva+/CHpTsM27n29LHqfrkkbrGTiJNyJlYi\nReVsHsQ8qEkTkQTDQHHTwU7D78RXIU6koOnvdGtgbu68SBBE/5NUlLQ8OCcEuYuVSi9N/efqvZbL\ngz7rCzp+suvZdfsMj730/sG09W84e4Iu2PFuBvMFLz8m2XqoG2s/bM+y5+XHloNdOGvh62ldrnjW\naX93Mb+W/HiBff/ZxFJ3xHiO5Md/zBFfaZ2z2LulKOr75ZUwbTOZSkLDASnviobW7iieXrs/393K\nCtvvcJCb3DAHAAAgAElEQVREJKL8qYyrqwGCJIoFCSxm949bncgef2cPdms15jVBNbdp04H0gYO5\nLOZHL2423L/qlDEA3AvWZtlKPgfpolTO5j3sPgnzTBnLRGJc84eVBgGlo7cyWvX6fdlFpA+P9Ob8\nuy/mrBxBENmRZQWKkt5UwAm8uFzppzfzBAQATBxajeNG1hmWsc5s/LHP/N7d/PiatG0d01iDWeMG\nAzB2wzNf8DI3wkA+tl74izewr70PF/7ijbTHdrf1AOifCQorJxL7PMyB2vxnxsahlVbWxiZUWSal\n1W/GC2RymFcFfHlfR7BcJcYZE4fktR07IlpFSCWFtRMDFxKRyghJLMw9xJxID3xCnVlxq+Uvb9uu\n1tT1nyzaoocXMnpM1mEzrNuCW8HaeZWzUfyL5xCQ7jwy3+cHiizvQC9R8OYYyHXM2U8xk517w94O\nzPmfxfjr2+nlHAwrgYkykQiitCQLyCfhXTCVPklilUX0wm1zMG5ItWHZredNAmAUOZy8c7Ki4HNn\njldfizsnmcU/JmL83uTGrgSeWbsPc3+yBCt2tOoimlUZmVvw7735d8S6temPc2PPWJK5lirrMsno\nRCrprmQk0+SwWs6muOK8/NpHphS8DR424T5teK2r2yWIUlBZR8cyRxLFgoQf5kRi3UPW73XHQs13\njavhOiZ09MXxwCtb0RVhIYaZRSRWdnTb397DtLtexJTvvljQSSAlIjnvzva9/2zM+/UIl7H57M0D\nckkQLGfLLpkxAkDFaEhpF0hRk/izYofahWZHS4/tNqxmhqmcjSBKS6rTaD4iUur8V+nV2pLFhafV\n+IBlwOXqFPKJqdxKPo/OZzpnMZdEa3eqociSLYdzei0vs6+9z3L5zpZu3PY3NQdp/d4OfcKQn7xw\nW7iwKmdjg4K+mPEcyT6XlzcexF1Pvw+gchpzMETdiaTi1fETmxw+e9JQfVmtdv3BrnHyOd7VhYxd\nsPNxfzqhoZqaHhDlT2UdHcscnygUlNkTS6oDoqqAeqB9aNkul/Yr9TXiA3gjiST+97Vt+n1mHWbn\ndJYLMHFoNf5zy9n6QEtWVPdDLCGnleDlAhPcnIhI7ETRFcksdBH9T1rQY5ZyNsZQrZOhR93YrmMe\nfPfEEli08SBau6N47K1m7GhRQ10HZ+jYZCUYRUlEIoiSkkunUTN+kZxIDLOYA1ifO1hGUl+Gcjae\nqU21+NLcY/Dxk0br6/HihWD63JhLtDea2v73/2Msoyln/rKi2XL5A69s1W93cXlEbnYKNiNZfP+Z\naNUXNzmRtOU3PbZaX1ZpnfTYV9X7xwp1R6sCEp695Szcd/kM/PvmM/HdBdP1EkSn4drtvTGs2K5O\nsg2vDxkea6orTtlZXZU/+0oE4XFIRCojRE1Eytedw5wJYZc7LfG1x3zpS6+p3pw5kb5y3mSMGxLG\n7689GQDwy2tOwvGj6y0Hc+aSnFyIawKUk0FAsWYbCPcxD8hlxfriis1KmcvhBipmgfnXr2/HFx9b\njRv+vAp3PbMRT66yDpXl4Wfe50xWZ/giCRKRCKKU6GU4eZyn+Od4/rqwyDh9/1JOpNT4g2XEmDu5\nAcAX507EnRdPQ8An4nQtQ+VzZ4wzrMN31osn1G31cOVUw2oHTkaK+QKZjVn5c9TR3riePfWxE1Pt\nzt2e9OHFPDZUZROM5jEqW87vQ6WVszEUxVkJpxeYOXoQrj19HCY11uKGORN1l5LTyo3rH30Xn374\nbUTiSV14+tLcYwCk8tHcxux4IohypDKPjmUK79TJBybIVLkcFMi6IDx369kG62+vqXyNtVM9bmQd\nlt5+Ls6b1oTmhQtw/Oh6ANaDB3NJTi7Ecihn82p4YCXj9GsuCrBsZV8b0kSkCvloJww15nrs1JxH\nzW3G8rWfv7oVz66z7j7CO/+mj1DDZs2Wf4Ig+heW1ZKPiMQH7ufiLljVfATj73w+LduwnHGSjwgA\nIV968DV76/gxzpUnj0bzwgW44uTR+rLh9SE0L1yAWeMbDNvkXVCxZBLRRBKLNh7Sl2VyiPYHmw50\nYvydzxcUc7BhbweSsoJOU1OHCd96AdPvegkvch3tHn97D/a192Fw2I/zpjXl/ZrZ4Id/sqJg0caD\n+nnOLCIxkasmkIplcPqdGSikNy7x6t+vCX4Wj7DqiITDSej1ezsAqN+HaEJGwCfizounoXnhAtf/\n/mO1cRUbnxJEOUMiUhnBBpD5lrQxQabKdSeSuj/1VX4cP7oe37p4GoCUaMRgTiRzFynGiPoqnHmM\nsRNCNJHE6t1H8czafZbPybhf2sDbSU07GZG8S6aP5pHPn4pB4YBlmUKNNtPj2TGQy/zu2pNx58XT\n9BlvFgxqJcQ++IZ1oCu7aFowcwQ+PXusYRlBEKWhECdSruVs7zYfwbyfLMZDy3YCAFbubMv5Nb2L\ns/fPZ+FkULisI95V5BT+HNUXk9ETNR5XS10+9MoHqqD1Eif05ML6ve247Ndv4phvv4A/vLEz7XG7\nbL2jRe6eanbiPbq8ObVPNk6kGu4C37siSnFgzm1FUTztXNTjrSw+Hib8OW3Swz731buPIhqXDc2C\n3OaxL8zGo9edWnFd/4iBCYlIZUShIhJz5vDlbG50L2BqP9u/a7SLzwMdEcN67+1RZ7gyiTqXzhxp\nuB9NyLjydytw29/W4qBpe9lgtlQqZytPnHw1z53WCMDaicQcd5VSzjYoHMCX5h6Da04dAyBVZmo1\neD/YEUkTeYGUE+mqU0brxwkqZyOI0sIyXPI5T92idRoDnLmY73vuAzS39WLp1hYAanbh/vY+/GtN\n9nJYr3O409kYgjmT+cDnOHd7cmNNzq/NB5z3xhL6uGnisGqcMm5wmiumv+nQ3EO5jgi7InF0RuJ6\n1ymvYShnUxRDREJadzbtnFnJLhH2dpkyyD1HKvg7fQ/Zby2RY7vlG/+yCtFEUs9EKwZDaoKYN7Wx\naNsniP6ERKQygs1k5XpgZLCA3BB3gHSjfTcbXDGxpi7kQ03Qp5fTMF7aqM5wZSovM+cN8C6K03/0\nGjYf7Mx5vxyVs5GI5FmczARaZSKx2aQKm0hEkIVKZgilb+2O4bv/3pC2PMIdI9h2zLO1BEH0L4kC\ngrUnNdbinsuOBeBs0oiNCdj/saSMi37xBr7+5Dp0RorrGik2201jEjt0EYl7v5igdO7URkwcppYO\nnzh2kOPX5gXAnlhSFzO+NPcYhAOSIR+pFCzXgoVznVc8a+HrmPm9l/NugnL6RLXs78Qx6ns5bkh1\nptVzhn/fk4picNb2ad/xy7VMJuZe57sMVxrs3fKwCcmA1SFRv1Zy6ETiiSaK60QiiIFE5R4pyxB2\nMsxTQ0I0qR4c+TbB0USy4PI2NqPmF9lFu4DG2qBtm9dMNebmvKYOU239nrZeTBte52i/2EW0k5p2\nykTyHpkueNbc9RHD41Yz9Pm0wx4IsPKVbB1v2npiacuYaBvyi7qge9/zm3DdWRPIrUcQJYJdDOUb\n8psSRbKva3YutvfG0Kl1Le2JJso6ENac1WOHnes75Bex8MrjEfRJePXrc3HMMOeCBz8O6Y0m9FKb\ngCQiHJBwuDPqeFvFJJnjAJN9N/Ite/7T508FAHz2jHE4e/JQHDMsd5dXJvjToNr5N7WfUc1lyzoF\n65lIZfwdLxQ2aacGa3tXSmLHtICF4MOOk067s/Hsau0hEYkgHEK/lDJCcuhEauuO4r09R9OWR+Nq\nYBw/m1lI9zMGG+DyZWMBn4juqPWgItNAmIVsM17ddMhwP5dBNHufnDwnnxleon+w+mQaqgMYUpPq\nZmMWAXm9o9IyDdhxIpPL8MQxg9AbS+Lp9/bh90t3oLVbvYBhg+qgTzKUne63EYQJgig+epOIPC9u\n2PHQSe6OuayKL1My5/iUG72xJIbWBPGdS6ZnXM9KdOuJJTF1eJ1e6jKpsSanc4skpj67nliqC5Rf\nElEd8GHLoS68vvkQ/rl6L9r6+reZwcb9Hdh8sAsAEHPoKJJlRW+LDsDgUpvUWINnbzkLn9KiDcz8\n8poT9dvhAGuAIbguIAHAgY7UuUtRFINjik2aMCGCOf7CFZxXw44VuoDk0eHT/OmNuHHOBNxz2XFp\nj1llmtmx/XC3oQJi9e6jlsIUQRDpkBOpjGAunc5IwnABbeZjv1mOvUf70LxwgWF5jDmR+C4heVqQ\nediB2scNkvySiPa+dKcDYD1zwDC30zTXrOdCzELcskOkc4bnyGUOzKwTSqKgO5U8OgYqGj4Houng\nsB+Lt7Rg9W5VbP7zima89a3zdeEp5BcNF0ilDn0liEqGCQ6BPN2VgkV5lh19pnPurtYe7rHyFZES\nSRnRhIybzxiHeVOH4f4XNtmuy8YD/PvVF0ugugDXNmsaMqQ6gL5YQh97+SUB4aC63esfXQUAkATg\nyovzfqmc+eivl+u3Yw5LgB5+cyd++MJm/X4HF5D96tfnAlBbrz/xzh7D804ZNxgfPWEkbvvbWtw4\nZ0Ihu+2Ig1wOliybRCRt0oRNNDInkpcdOMVG4ARUL5/2fZKI7yw41voxkQVrZ7++mf/A0rRlwQoW\nEQkiF+jSuYyY0lQLANh6qCvjenuPWrsGYgkZQZ/kvohkEWDtlwR0R6wFIKtOWgzzzJ75b7Hr8JFp\nv5x1Z6s0qaF8cPLRmDOtJFFArWZJH2kSJgc6fNkEy5kwY84GYSH4uhPJNIgqdegrQVQyvGslH0Su\nRMWOT/zhLcz9yeK0slXmUgQKm9QpNb3a2CEckLJmIDJnMl/O1hNNGpqS5Mr0EXVoXrgAFxzXhOa2\nX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KG+calOgaK+zXJA4JxIPkkwuI+syhQb8swfGwiYG5WMHFSlO+HKBVaS+8c3d+FgR8R2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\nAOhLiAQAAABAX0IkAAAAAPr6/7tS/fLGuML2AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f01ecd4a240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.describe()\n",
    "data['4. close'].plot()\n",
    "plt.title('Intraday Times Series for the MSFT stock (1 min)')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check the meta data given back by the api call."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'1. Information': 'Intraday (1min) prices and volumes',\n",
       " '2. Symbol': 'MSFT',\n",
       " '3. Last Refreshed': '2018-01-03 16:00:00',\n",
       " '4. Interval': '1min',\n",
       " '5. Output Size': 'Full size',\n",
       " '6. Time Zone': 'US/Eastern'}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting csv data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<_csv.reader at 0x7f01eee2eba8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts = TimeSeries(key=os.environ['API_KEY'], output_format='csv')\n",
    "data_csv,_ = ts.get_intraday(symbol='MSFT',interval='1min', outputsize='compact')\n",
    "data_csv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting time series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1i4MPPpjrrrsuvc8999zD1KlTmTRpEhdffDGJRAKAsrIyvve97zFx4kSOPPJINm7cmN+L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v0H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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f01ecbf0128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = data.drop('5. volume',1)\n",
    "data.plot()\n",
    "plt.title('Intraday Times Series for the MSFT stock (1 min)')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with batch quotes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>1. symbol</th>\n",
       "      <th>2. price</th>\n",
       "      <th>3. volume</th>\n",
       "      <th>4. timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>FB</td>\n",
       "      <td>172.0600</td>\n",
       "      <td>--</td>\n",
       "      <td>2018-01-03 15:59:58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       1. symbol  2. price 3. volume         4. timestamp\n",
       "count          3         3         3                    3\n",
       "unique         3         3         1                    2\n",
       "top           FB  172.0600        --  2018-01-03 15:59:58\n",
       "freq           1         1         3                    2"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# It is still a TimeSeries call\n",
    "ts.output_format='pandas'\n",
    "data, meta_data = ts.get_batch_stock_quotes(symbols=('MSFT', 'FB', 'AAPL'))\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1. symbol</th>\n",
       "      <th>2. price</th>\n",
       "      <th>3. volume</th>\n",
       "      <th>4. timestamp</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>0</th>\n",
       "      <td>MSFT</td>\n",
       "      <td>86.3000</td>\n",
       "      <td>--</td>\n",
       "      <td>2018-01-03 15:59:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FB</td>\n",
       "      <td>184.4800</td>\n",
       "      <td>--</td>\n",
       "      <td>2018-01-03 15:59:58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AAPL</td>\n",
       "      <td>172.0600</td>\n",
       "      <td>--</td>\n",
       "      <td>2018-01-03 15:59:58</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     1. symbol  2. price 3. volume         4. timestamp\n",
       "date                                                   \n",
       "0         MSFT   86.3000        --  2018-01-03 15:59:59\n",
       "1           FB  184.4800        --  2018-01-03 15:59:58\n",
       "2         AAPL  172.0600        --  2018-01-03 15:59:58"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Working with technical indicators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Real Middle Band</th>\n",
       "      <th>Real Upper Band</th>\n",
       "      <th>Real Lower Band</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>85.611645</td>\n",
       "      <td>86.214027</td>\n",
       "      <td>85.009273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.039812</td>\n",
       "      <td>0.096451</td>\n",
       "      <td>0.025967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>85.569100</td>\n",
       "      <td>86.103600</td>\n",
       "      <td>84.968900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>85.577450</td>\n",
       "      <td>86.117450</td>\n",
       "      <td>84.992700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>85.602800</td>\n",
       "      <td>86.206100</td>\n",
       "      <td>85.012300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>85.633200</td>\n",
       "      <td>86.295450</td>\n",
       "      <td>85.033200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>85.686500</td>\n",
       "      <td>86.355800</td>\n",
       "      <td>85.043200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Real Middle Band  Real Upper Band  Real Lower Band\n",
       "count         11.000000        11.000000        11.000000\n",
       "mean          85.611645        86.214027        85.009273\n",
       "std            0.039812         0.096451         0.025967\n",
       "min           85.569100        86.103600        84.968900\n",
       "25%           85.577450        86.117450        84.992700\n",
       "50%           85.602800        86.206100        85.012300\n",
       "75%           85.633200        86.295450        85.033200\n",
       "max           85.686500        86.355800        85.043200"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ti = TechIndicators(key=os.environ['API_KEY'], output_format='pandas')\n",
    "data, meta_data = ti.get_bbands(symbol='MSFT', interval='60min', time_period=60)\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'1: Symbol': 'MSFT',\n",
       " '2: Indicator': 'Bollinger Bands (BBANDS)',\n",
       " '3: Last Refreshed': '2018-01-03 16:00:00',\n",
       " '4: Interval': '60min',\n",
       " '5: Time Period': 60,\n",
       " '6.1: Deviation multiplier for upper band': 2,\n",
       " '6.2: Deviation multiplier for lower band': 2,\n",
       " '6.3: MA Type': 0,\n",
       " '7: Series Type': 'close',\n",
       " '8: Time Zone': 'US/Eastern Time'}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting technical indicators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GBkaNGsXtt9/OoEGDOq3T2NiYs92HH344jz76KEOHDm23fb/99uNXv/pVZtvxxx9PQ0MD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\nCAAAAICGWAQAAABAQywCAAAAoCEWAQAAANAQiwAAAABoiEU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C1swvn0633b3L3xQebmIR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\nIgAAAAAaYhEAAAAADbEIAAAAgMb/DybdfoU2f0Z6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f01ec90f940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot()\n",
    "plt.title('BBbands indicator for  MSFT stock (60 min)')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with Sector Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Rank A: Real-Time Performance</th>\n",
       "      <th>Rank B: Day Performance</th>\n",
       "      <th>Rank C: Day Performance</th>\n",
       "      <th>Rank D: Month Performance</th>\n",
       "      <th>Rank E: Month Performance</th>\n",
       "      <th>Rank F: Year-to-Date (YTD) Performance</th>\n",
       "      <th>Rank G: Year Performance</th>\n",
       "      <th>Rank H: Year Performance</th>\n",
       "      <th>Rank I: Year Performance</th>\n",
       "      <th>Rank J: Year Performance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.002745</td>\n",
       "      <td>0.002745</td>\n",
       "      <td>0.007545</td>\n",
       "      <td>0.020836</td>\n",
       "      <td>0.055373</td>\n",
       "      <td>0.008600</td>\n",
       "      <td>0.151027</td>\n",
       "      <td>0.253480</td>\n",
       "      <td>0.721240</td>\n",
       "      <td>0.805070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.010159</td>\n",
       "      <td>0.010159</td>\n",
       "      <td>0.016407</td>\n",
       "      <td>0.039578</td>\n",
       "      <td>0.044700</td>\n",
       "      <td>0.018032</td>\n",
       "      <td>0.135972</td>\n",
       "      <td>0.203729</td>\n",
       "      <td>0.453161</td>\n",
       "      <td>0.779563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-0.021700</td>\n",
       "      <td>-0.021700</td>\n",
       "      <td>-0.025600</td>\n",
       "      <td>-0.075500</td>\n",
       "      <td>-0.024300</td>\n",
       "      <td>-0.019500</td>\n",
       "      <td>-0.078000</td>\n",
       "      <td>-0.064300</td>\n",
       "      <td>0.010700</td>\n",
       "      <td>-0.091600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000200</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>-0.002550</td>\n",
       "      <td>0.013650</td>\n",
       "      <td>0.022900</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>0.066000</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.484750</td>\n",
       "      <td>0.222725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.005300</td>\n",
       "      <td>0.005300</td>\n",
       "      <td>0.014100</td>\n",
       "      <td>0.030700</td>\n",
       "      <td>0.061400</td>\n",
       "      <td>0.012900</td>\n",
       "      <td>0.200600</td>\n",
       "      <td>0.248300</td>\n",
       "      <td>0.756500</td>\n",
       "      <td>0.679850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.008550</td>\n",
       "      <td>0.008550</td>\n",
       "      <td>0.019550</td>\n",
       "      <td>0.043350</td>\n",
       "      <td>0.082400</td>\n",
       "      <td>0.022400</td>\n",
       "      <td>0.231950</td>\n",
       "      <td>0.381075</td>\n",
       "      <td>1.066825</td>\n",
       "      <td>1.298925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>0.015300</td>\n",
       "      <td>0.015300</td>\n",
       "      <td>0.027000</td>\n",
       "      <td>0.073800</td>\n",
       "      <td>0.115100</td>\n",
       "      <td>0.033400</td>\n",
       "      <td>0.403500</td>\n",
       "      <td>0.641300</td>\n",
       "      <td>1.370300</td>\n",
       "      <td>2.153500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Rank A: Real-Time Performance  Rank B: Day Performance  \\\n",
       "count                      11.000000                11.000000   \n",
       "mean                        0.002745                 0.002745   \n",
       "std                         0.010159                 0.010159   \n",
       "min                        -0.021700                -0.021700   \n",
       "25%                         0.000200                 0.000200   \n",
       "50%                         0.005300                 0.005300   \n",
       "75%                         0.008550                 0.008550   \n",
       "max                         0.015300                 0.015300   \n",
       "\n",
       "       Rank C: Day Performance  Rank D: Month Performance  \\\n",
       "count                11.000000                  11.000000   \n",
       "mean                  0.007545                   0.020836   \n",
       "std                   0.016407                   0.039578   \n",
       "min                  -0.025600                  -0.075500   \n",
       "25%                  -0.002550                   0.013650   \n",
       "50%                   0.014100                   0.030700   \n",
       "75%                   0.019550                   0.043350   \n",
       "max                   0.027000                   0.073800   \n",
       "\n",
       "       Rank E: Month Performance  Rank F: Year-to-Date (YTD) Performance  \\\n",
       "count                  11.000000                               11.000000   \n",
       "mean                    0.055373                                0.008600   \n",
       "std                     0.044700                                0.018032   \n",
       "min                    -0.024300                               -0.019500   \n",
       "25%                     0.022900                               -0.005500   \n",
       "50%                     0.061400                                0.012900   \n",
       "75%                     0.082400                                0.022400   \n",
       "max                     0.115100                                0.033400   \n",
       "\n",
       "       Rank G: Year Performance  Rank H: Year Performance  \\\n",
       "count                 11.000000                 10.000000   \n",
       "mean                   0.151027                  0.253480   \n",
       "std                    0.135972                  0.203729   \n",
       "min                   -0.078000                 -0.064300   \n",
       "25%                    0.066000                  0.110000   \n",
       "50%                    0.200600                  0.248300   \n",
       "75%                    0.231950                  0.381075   \n",
       "max                    0.403500                  0.641300   \n",
       "\n",
       "       Rank I: Year Performance  Rank J: Year Performance  \n",
       "count                 10.000000                 10.000000  \n",
       "mean                   0.721240                  0.805070  \n",
       "std                    0.453161                  0.779563  \n",
       "min                    0.010700                 -0.091600  \n",
       "25%                    0.484750                  0.222725  \n",
       "50%                    0.756500                  0.679850  \n",
       "75%                    1.066825                  1.298925  \n",
       "max                    1.370300                  2.153500  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sp = SectorPerformances(key=os.environ['API_KEY'], output_format='pandas')\n",
    "data, meta_data = sp.get_sector()\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Information': 'US Sector Performance (realtime & historical)',\n",
       " 'Last Refreshed': '04:20 PM ET 01/03/2018'}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting Sector Performance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1nj5e8+njNZ8uXu/p4zWfPl7z0fvRpX9t9r03ve5qfr9kjSbfe/v1\n1m7yfafdtP6M77HHHqdW1dKVPW/1lT2hqvZe3rkkf0hyq6o6P8mtgAvmedp5wO6zjjcDTlzJ97xw\n1uEHgTet4LkfAD4AsHTp0tp9992X99SJdeKJJzKN/93TzGs+fbzm08XrPX285tPHaz5dvN7Tx2s+\nfbzmo/f4E05v9r1fedn5vH7dWzX53r/ffccm33fa+TO+YqvaIuNLwNP6x08DvjjPc44G9kmyUb+5\n3z792HL1xeoZ+wJnr2JOSZIkSZIkSdICW9UC8xuB+yU5F7hff0ySpUk+BFBVFwGvBX7Qf72mHyPJ\nwUnOA9ZJcl6Sg/p/d78kP05yBrAf8M+rmFOSJEmSJEmStMBW2iJjRfpWFnvNM34K8KxZxx8GPjzP\n814KvHSe8VcAr1iVbJIkSZIkSZKk4VrVGcySJEmSJEmSpCllgVmSJEmSJEmSNBALzJIkSZIkSZKk\ngVhgliRJkiRJkiQNxAKzJEmSJEmSJGkgFpglSZIkSZIkSQOxwCxJkiRJkiRJGogFZkmSJEmSJEnS\nQCwwS5IkSZIkSZIGYoFZkiRJkiRJkjQQC8ySJEmSJEmSpIFYYJYkSZIkSZIkDcQCsyRJkiRJkiRp\nIBaYJUmSJEmSJEkDscAsSZIkSZIkSRqIBWZJkiRJkiRJ0kAsMEuSJEmSJEmSBmKBWZIkSZIkSZI0\nEAvMkiRJkiRJkqSBWGCWJEmSJEmSJA3EArMkSZIkSZIkaSAWmCVJkiRJkiRJA7HALEmSJEmSJEka\niAVmSZIkSZIkSdJALDBLkiRJkiRJkgZigVmSJEmSJEmSNBALzJIkSZIkSZKkgVhgliRJkiRJkiQN\nxAKzJEmSJEmSJGkgFpglSZIkSZIkSQOxwCxJkiRJkiRJGogFZkmSJEmSJEnSQCwwS5IkSZIkSZIG\nYoFZkiRJkiRJkjQQC8ySJEmSJEmSpIFYYJYkSZIkSZIkDcQCsyRJkiRJkiRpIBaYJUmSJEmSJEkD\nscAsSZIkSZIkSRqIBWZJkiRJkiRJ0kAsMEuSJEmSJEmSBmKBWZIkSZIkSZI0EAvMkiRJkiRJkqSB\nWGCWJEmSJEmSJA3EArMkSZIkSZIkaSAWmCVJkiRJkiRJA7HALEmSJEmSJEkaiAVmSZIkSZIkSdJA\nLDBLkiRJkiRJkgZigVmSJEmSJEmSNBALzJIkSZIkSZKkgVhgliRJkiRJkiQNxAKzJEmSJEmSJGkg\nFpglSZIkSZIkSQOxwCxJkiRJkiRJGogFZkmSJEmSJEnSQCwwS5IkSZIkSZIGskoF5iQ3S3JMknP7\nPzdazvOe1j/n3CRP68fWSfLVJOck+XGSN856/k2SfCrJT5N8L8mWq5JTkiRJkiRJkrTwVnUG88uB\n46pqG+C4/vh6ktwMOBC4O7ALcOCsQvRbqmpb4K7APZM8sB9/JnBxVd0OeDvwplXMKUmSJEmSJEla\nYKtaYH4YcFj/+DDg4fM85/7AMVV1UVVdDBwDPKCqrqiqEwCq6irgNGCzef7dzwJ7JckqZpUkSZIk\nSZIkLaBU1eB/OflzVW046/jiqtpoznNeDKxVVa/rj/8D+GtVvWXWczakKzDvXVU/T3IWXRH6vP78\nz4C7V9Wf5snwHOA5AJtsssndPvnJTw783zOuLrvsMtZdd93WMTRCXvPp4zWfLl7v6eM1nz5e8+ni\n9Z4+XvPp4zUfvR9d+tdm33vT667m90vWaPK9t19v7Sbfd9pN68/4HnvscWpVLV3Z81Zf2ROSHAts\nOs+pV93ILPPNPP57VTvJ6sARwLuq6uc35u9cb7DqA8AHAJYuXVq77777jYw1OU488USm8b97mnnN\np4/XfLp4vaeP13z6eM2ni9d7+njNp4/XfPQef8Lpzb73Ky87n9eve6sm3/v3u+/Y5PtOO3/GV2yl\nBeaq2nt555L8Icmtqur8JLcCLpjnaecBu8863gw4cdbxB4Bzq+odc/7OPwHn9QXoDYCLVpZVkiRJ\nkiRJkjQ6q9qD+UvA0/rHTwO+OM9zjgb2SbJRv7nfPv0YSV5HVzx+4Qr+3UcDx9eq9PKQJEmSJEmS\nJC24VS0wvxG4X5Jzgfv1xyRZmuRDAFV1EfBa4Af912uq6qIkm9G12dgOOC3J6Ume1f+7hwA3T/JT\n4ADg5auYU5IkSZIkSZK0wFbaImNFqupCYK95xk8BnjXr+MPAh+c85zzm77VMVV0JPGZVskmSJEmS\nJEmShmtVZzBLkiRJkiRJkqaUBWZJkiRJkiRJ0kAsMEuSJEmSJEmSBmKBWZIkSZIkSZI0EAvMkiRJ\nkiRJkqSBWGCWJEmSJEmSJA3EArMkSZIkSZIkaSAWmCVJkiRJkiRJA7HALEmSJEmSJEkaiAVmSZIk\nSZIkSdJALDBLkiRJkiRJkgZigVmSJEmSJEmSNBALzJIkSZIkSZKkgVhgliRJkiRJkiQNxAKzJEmS\nJEmSJGkgFpglSZIkSZIkSQNZvXUASZIkSZIk6R/x+z12bPa9Tzzxz/x+93bfX1psnMEsSZIkSZIk\nSRqIBWZJkiRJkiRJ0kAsMEuSJEmSJEmSBmKBWZIkSZIkSZI0EAvMkiRJkiRJkqSBWGCWJEmSJEmS\nJA3EArMkSZIkSZIkaSAWmCVJkiRJkiRJA7HALEmSJEmSJEkaiAVmSZIkSZIkSdJALDBLkiRJkiRJ\nkgZigVmSJEmSJEmSNBALzJIkSZIkSZKkgVhgliRJkiRJkiQNxAKzJEmSJEmSJGkgFpglSZIkSZIk\nSQOxwCxJkiRJkiRJGogFZkmSJEmSJEnSQCwwS5IkSZIkSZIGYoFZkiRJkiRJkjQQC8ySJEmSJEmS\npIFYYJYkSZIkSZIkDcQCsyRJkiRJkiRpIKmq1hkWTJI/Ar9qnaOBWwB/ah1CI+U1nz5e8+ni9Z4+\nXvPp4zWfLl7v6eM1nz5e8+ni9Z4+03rNt6iqjVf2pIkqME+rJKdU1dLWOTQ6XvPp4zWfLl7v6eM1\nnz5e8+ni9Z4+XvPp4zWfLl7v6eM1XzFbZEiSJEmSJEmSBmKBWZIkSZIkSZI0EAvMk+EDrQNo5Lzm\n08drPl283tPHaz59vObTxes9fbzm08drPl283tPHa74C9mCWJEmSJEmSJA3EGcySJEmSJEmSpIFY\nYJYkSZIkSZIkDcQCsyRJkiRJkiRpIBaYx1CShyTx2k2pJEuSrN86hyRpcEnWSfIfST7YH2+T5CGt\nc0laGEk2bJ1B0mgkuWnrDJLUmkXK8fR44NwkBye5Y+swGr4kn0iyfv/Ly0+A/03ykta5NFxJPpfk\nwd5Qmg5J7jnzASXJk5O8LckWrXNpaA4F/gbs2h+fB7yuXRyNQpL9+/fzJDkkyWlJ9mmdS0NxapIj\nvL7TJcnWSW7SP949yX7ebJhcSXZL8hPg7P54hyT/3TiWhiTJG/r38NWTHJ3kD0me2DqXhsvX9RvP\nosUYqqonA3cFfgYcmuS7SZ6TZL3G0TQ821XVJcDDgf8BNgee0jaSRuC9wBPpbii9Mcm2rQNpqN4L\nXJFkB+ClwK+Aj7aNpCHauqoOBq4GqKq/AmkbSSPwjP79fB9gY+DpwBvbRtKQbEP3Gv7sJOcmeU2S\nrVuH0tB9Drg2ye2AQ4CtgE+0jaQhejtwf+BCgKo6A7hP00Qapgf27+EPAS4A7gS8rG0kjYCv6zeS\nBeYx1b+wfQ74JHAr4BHAaUle0DSYhmWNJGvQFZi/WFVXA9U4k4asqo6tqicBOwG/BI5J8p0kT+//\nf9BkuaaqCngY8M6qeifgjcPJdVWStelfy/vC09/aRtIIzNxEeBBwaF+M8MbCBKqq66rqa1X1GODZ\nwDOB05Mcl2SXxvE0PNdV1TV0n83eUVX/TvdZTROqqn4zZ+jaJkE0Cqv3fz4IOKKq/oSfyaeBr+s3\nkgXmMZRk3yRHAscDawC7VNUDgR2AFzcNp2F5P12B8abAN/pl85c0TaSRSHJz4J+BZwE/BN5JV3A+\npmEsDcelSV4BPBn4apLV6F7jNZkOBI4C/inJx4Hj6Gaua7KdmuTrdB9Oj+5Xn13XOJOGIMmGSf41\nyfeAlwP/DtwMeBXwqabhNExXJ3kC8DTgK/2Y7+WT6zdJdgMqyZpJXkzfLkMT6WtJzgLuTjfx5xY4\nOWAa+Lp+I6WbLKVxkuQw4JCq+sY85/aqquMaxNKIJVm9v5OmCZXk88C2wOHAR6rq/FnnTqmqpc3C\nacEl2ZSuJcoPquqbSTYHdq8q22RMmCQBNgOuAO5BN4P15H4mjCZY31N/R+DnVfXn/ibibarqR42j\naYElOZduCe2Hq+pXc869sqpe3yaZhinJdsDzgO9W1RFJtgIeV1W2wplAfYHxncDedO/lXwf2q6qL\nmgbT0CS5JXBRVV2TZF1gg6r6betcGh5f1288C8xjpp/RdnRV7d06i0YnySbA64FbV9UD+xe5Xavq\nkMbRNERJ9qyq41vnkLTwkpxaVXdrnUOjkWSnFZ2vqtNGlUWjkWRJVTk7XZpgSe5ZVd9e2ZgmQ9/a\nbH9gi6r6l74n7zZV9bXG0TRk/bXfvKr+t3WWxcwC8xhK8iXgKVX1l9ZZNBpJvgYcCryqqnZIsjrw\nw6q6S+NoGqIkj5xn+C/AmVV1wajzaDiSXMr8/dsCVFWtP+JIGoEk/0W3MuEHrbNo+JKcsILTVVV7\njiyMRqJfhTTXX4BTgA9W1VUjjqQhSnImK+jFWlXbjzCORiTJaVW108rGNBmSHAGcCTyxqu6cZB3g\n21V118bRNERJHgq8BVizqrZKsiPwmqrat3G0RWf1lT9Fi9CVwJlJjgEunxmsqv3aRdKQ3aKqPt33\nZ6VfkuMGEpPvmcCuwExhYnfgZOD2SV5TVYe3CqaFU1Vu5Ded9gCem+RXdO/lMzcULEJMoKrao3UG\njdx5wKbAEf3x44CLgO2BD9L1ctTkeEjrABqdJLsCuwEbJzlg1qn1gdXapNIIbFNVT0jyGICquqJv\ne6bJdhCwC3AiQFWd3rfJ0BwWmMfTV/svTY/L+z6NBZDkHnSzYDTZrgPuWFV/gL+3Snkv3cYS36Dr\nzawJ0/d2W2vmuKp+3TCOhueBrQOojSR3Brbj+j/n9lqfPDtU1X1nDpJ8ATipqu6T5CcNc2kI5vbZ\n1sRbE1iXrp4ye6LAJcCjmyTSKFyVZC2WfSbfCnA1yuS7pqr+Mudegq0g5mGBeQxV1WGtM2jkDgC+\nBGyd5NvAxvjLyzTYcqa43LsAuH1VXZTk6lahNBxJ9gXeCtya7lpvQbcT+Z1a5tJwzBQj5t5Q0GRL\nciDdapTtgP+hu9HwLcAC8+TZJMlmVXVef3xrut/fAP7WKJOGrJ8E8m7gjnRFyNWAy213NVmq6iTg\npCQf8ebCVHkNcBSwWZLDgPvSrTjVZDsryROB1ZJsA+wHfKdxpkXJAvMY6v+nfgM3nP1y22ahNFRV\ndVqS+wJ3oFtG/b9VZYFx8n0zyVeAz/THjwK+keSmwJ/bxdKQvBa4B3BsVd01yR7AExpn0pB4Q2Fq\nPRrYgW4fhaf3K1M+1DiThuOlwHeTnEP3u9vtgX/r38M/3jSZhuk9wOPpfndbCjwVuF3TRBqmK5K8\nme69e/bncvvqT6CqOirJqXTtUQK8xH1xpsILgFfR3Rw+Ajia7nOb5nCTvzGU5FvAgcDbgYcCT6e7\nlgc2DaYFt5xN3v6uqubbQEYTou/p9UjgXnS/xHwL+Fz5wj2RkpxSVUuTnAHctaquS/L9qtqldTYt\nvP4678mcGwpV9ZzG0TREMz/T/QfUPYBLgbOqyhsLE6jfdX47uvfwH1fVXxtH0pDNei//0UxP/STf\nqardWmfTwkvydeBTwIuB59H1Vv9jVb2saTANRT854KSq+kt/vCFwr6r6Sttk0uLgDObxtHZVHZck\n/ZKcg5J8k67orMny0BWcK8AC84RKshpwdFXtDXyudR6NxJ+TrEvXX/vjSS4ArmmcScNzdVVdmGRJ\nkiVVdUKSN7UOpaE7pf9A+kHgVOAy4PttI2kYkqxONwnkPv3QiUk+VFW+rk+2K5KsCZye5GDgfOCm\njTNpeG5eVYck2X9W24yTWofS0LymqnacOaiqPyd5LWCBeQIleUdVvTDJl5mn53JV7dsg1qJmgXk8\nXZlkCXBukn8DfgvcsnEmDUFVPb11BrVRVdcmuSLJBjN3yTXxHgZcCfw78CRgA7peb5pM3lCYQlX1\n/P7h+5IcBaxfVT9qmUlD8190hcUP98dPBnYCXKUw2Z5C13f53+jez/+JrsWZJtNMy8LzkzwY+B2w\nWcM8Gq4l84xZU5tch/d/vqVpijFii4wxlGRnuj6NG9L1ftkAOLiqTm4aTEOT5OZ0M9TvRXf37Ft0\nd1AvbBpMQ5Xk03Q9eY8BLp8Zr6r9moWStCD6Pqx/pfuwMnND4eO+rk+mJNtW1TlJdprvfFWdNupM\nGq4kZ1TVDisbkzS+kjwE+CbdjYR3A+sDB1XVl5sG01Ak+Qjdvhn/RfeZ/AXAJlX11Ja5NFz9CoV3\nrmxMFpilsZDkGLpZbh/rh54E7N63T9CESvK0+car6rBRZ9HwJPlWVd0ryaVcf/lVgHLn+cmS5HZ0\nH0a+PWf8PsBvq+pnbZJpmJJ8oKqek+SEeU6XG0JNniQ/BB5RVb/sj7cEjqyquzaMpSFJ8umqemyS\nM5l/KfX2DWJpyJLcc5738xuMaTL0K88OAvam+z3968Crq+qylrk0XElOq6qd5oz90PfzG7LAPIaS\n3B54Cd2O839fkuGHk8mV5NSqutucsVOqammrTBqNfoOgzavqf1tnkbTqknwFeOXctghJlgIHVtWK\neu9rjPXtzXa18DAdktwPOAT4P7pCxO2AZ1bVsU2DaSiS3Kqqzk+yxXzn+31zNGGWU3i6wZik8ZPk\nCcAT6VaRf3PWqfWAa53sd0P2ixlPnwHeR7dBzLWNs2g0TkjyeODT/fGjga82zKMRSPJQup5PawJb\nJdmRrjWKGwpMoCT3AH5cVZf2x+sCd6qq77VNpgW25Xw9d6vqlH6GoyZUVV2X5C3Arq2zaPiq6pgk\ndwDuSFdg/klV/bVxLA1JX1xeDTjEosPkS7IrsBuwcZIDZp1an64HtyZIkrdW1YuSHMn8KxQe2SCW\nhu87dBu13gJ466zxSwH3z5iHBebxdE1Vvbd1CI3Uc4EDWNYiYwlwef8LjUvoJ9dBwC7AiQBVdXqS\nrVoG0lC9l24DqBlXzDOm8bfWCs6tPbIUauXrSR4FfL5cRjiRkizvJvBtklBVXxppII2MGzRPlTWB\ndenqKevNGr+EbiKQJsun+j/f0zSFRqpfefIrnBhwo1lgHk9fTvJ84EjgbzODVXVRu0gapqpab+XP\n0gS6pqr+kmT2mAWJyZXZBad+tqPv05PnB0meXVUfnD2Y5JnAqY0yaXQOAG4KXJPkSuy1Pokes4Jz\nBVhgnmxXAmf2+6e4QQ+6pyUAACAASURBVPOEqqqTgJOSfGSm/UnfBmndqrqkbTottKr6fv9wHeCo\nqrq6ZR6Nhvvk/OPswTyGkvxinuGqqtuOPIxGJslGwDbMmv1WVd9ol0jDluQQ4Djg5cCjgP2ANarq\neU2DaSiSfJ5utvrMCpXnA3tU1cObhdKCS7IJ3Q3iq1hWUF5KNxvqEVX1+1bZJEmrxg2ap0uSTwDP\no2tbeSqwAfC2qnpz02AaiiSHA/cBjgc+CRxbVbYslXoWmKUxkORZwP7AZsDpwD2A77qx42RLsg7w\nKmAfujulRwOvraormwbTUCS5JfAuYE+6u+THAS+sqguaBtNQJNkDuHN/+OOqOr5lHo1GkuOqaq+V\njWn8JVkP+A+6YgTAScDrZvrsa3K5QfP0SHJ6Ve2Y5EnA3YCXAadW1faNo2lIktwEeDDwOLrP5F9z\n8s9kSnKzFZ23g8ANWWAeQ0nWAP6FZb+wngi836UakyvJmcDOwMn9LzHbAq+uqsc1jiZJklYiyVp0\nS2tPAHanu2kI3YZQX6uqOzaKpiFJ8hng/4CZmatPAe5YVfZnnWCzN2iuKjdonnBJfgzsCHwCeE9V\nnZTkjKraoXE0DVG/oec+wDOBPatqhYVIjae+c0Cx7He22ewgMA97O46n9wJrAP/dHz+lH3tWs0Qa\ntiur6sokJLlJVZ3T70yuCZbk9sCLgS2Z9XrtzPXJlGRj4Nnc8Ho/o1UmSQvmucALgVvTLaOe+bBy\nCfBfrUJpqLapqtn9mP8jyenN0mhUDsINmqfJ+4FfAmcA30iyBd3ruiZQkr2BxwN7A98GPgo8sWko\nDU1V+dr9D7LAPJ52nnNX9PgkZzRLo1E4L8mGwBeAY5JcDPyucSYN32eA9wEfouvtpsn2ReCbwLF4\nvaWJUlXvBN6Z5AVV9e7WeTQSVybZtaq+C5DkHnQbwGmyuUHzFKmqd9G1NwMgya+BPdol0pA9F/gU\n8IKq+mvrMBquJNv2E/t2mu98VZ026kyLnQXm8XRtkq2r6mcASW6LxYiJVlWP6B8elOQEug0kvtYw\nkkbjmqp678qfpgmxTlW9rHUISUP1+yTrVdWlSf4fsBNdX14/pEye5wOH9/06A1wBPLVtJI3AWUme\nCKyWZBu6DZq/0ziTFliSd1TVC/vH+/c3EamqSvIh4J9b5tPC69tibFBVn22dRSNzAPAc4K3znCu6\nfXM0iz2Yx1CSvYBDgZ/T/cK6BfD0qjqhaTANTZLDq+opKxvTZElyEHABcCTwt5lxNxSYTEleB3yn\nqv6ndRYNX5JHAm8Cbkn3Xh66z6brNw2moUryo6raPsm9gDfQ9Wp9ZVXdvXE0DUm/SVCq6sLWWTR8\nczZohmUbNP9t+X9L4ybJaVW109zH8x1rciT5MvCkqrINyhRJslZVXbmyMVlgHlv9bIg70H0gPcdf\nWibbPL+4rAacWVXbNYylIes3FpjLDQUmVJJLgZvS3Uy4GguOEy3JT4GHVtXZrbNodJL8sKrumuQN\ndO/jn5gZa51NCyvJmsDDuWFf/de3yqThS/KYqvrMysY03ma/bs99DbfAPLmSHAHcA/g6cPnMeFUd\n0CyUhm6+n2l/zudni4wxkmTPqjq+n/U029ZJqKrPNwmmoUnyCuCVwNpJZu6UBrgK+ECzYBoJNxaY\nLlW1XusMGqk/WFyeSr9N8n66DYLe1E8YWNI4k4bjSLqey6diK7tp8gq6PTRWNqbxtiTJRnSv3zOP\nZxpvr9Yulobs2P5LUyDJpsBt6Goxs4vJ6wPrtEm1uDmDeYwkeXVVHZjk0HlOV1U9Y+ShNBJJ3lBV\nr2idQ6OR5KVVdXD/+HqzXpK8vqpe2S6dhqn/gLINsNbMWFV9o10iLbRZN4nvC2xKt3nr7BY43iye\nYP3y+QfQzV4+N8mtgLtU1dcbR9MCS3JWVd25dQ6NRpIHAg8CHku3CdiM9YHtqmqXJsE0FEl+CVzH\nsqLybK42nGD96pTNq+qnrbNouJI8ja6f+lLgB7NOXQoc5u/sN2SBeQwl2aqqfrGyMY2/JFsAf66q\nv/THe9Att/wl8F9VdVXDeBoS+7pNpyTPAvYHNgNOp1uC992qcgOJCbKcm8QzvFk84ZJsPt94Vf16\n1Fk0XP1GX2+rqp+0zqLhS7IDsCPwGuA/Z526FDihqi5uEkzSgknyYOBtwJpVtVWSHYEDq+oRjaNp\nCJK8aM5QAX8EvmXtbX4WmMfQcnrAnFpVd2uVScOR5HvAI6rqd/0b2LF0mwJtD1xdVc9qGlBDsZK+\nbvbqnFBJzgR2Bk6uqh2TbAu8uqoe1ziahiDJPavq2ysb02Tpf86LbtbbWsBWwP9W1Z2aBtOC66/1\n7YGf0q1SmOmr703iCZZkjaq6unUOSQsvyanAXnQ3jWY+q51ZVXdpm0zDkOTAeYZvBtwfOKiqPjni\nSIuePZjHSF9suBOwwZw+zOszazm1JsraVfW7/vGTgQ9X1VuTLKGb4ajJVMt5PN+xJseVVXVlEpLc\npKrOSXKH1qE0NO8G5haa5hvTBJn7IbTv6ffcRnE0XA9vHUBNbNlv4rkd1293ZcsEafxdXVV/Tq7X\nGcXPZhOqql4933iSm9FN/LPAPIcF5vFyB+AhwIbAQ2eNXwo8u0kiDdvsd6896TYJoaqum/PGpsmy\nQ7+pY7jhBo/eTJpc5yXZkK4n7zFJLgZ+t5K/ozGTZFdgN2DjJLN3HV8fNwaaOlV1WpKdW+fQwquq\nn6X7ZW1j/Mw1TQ4FDgTeDuwBPJ35+/RKGj9nJ3ks3caOW9G1tju5cSaNWFVdFIsx8/KXnTFSVV8E\nvphk16r6bus8Gonjk3waOB/YCDgeoN8UyP7LE6qqLDJNoVn92w5KcgKwAXBUw0gajjWBdel+B1tv\n1vglwKObJNLIzLmpsIRuxvofG8XRECV5Pl0/3gvpNgODbqbbds1CaRTWrqrjkqSqfkX3nv5NuqKz\nJkQ/g3G5quqiUWXRSP0bXY/164AjgaMBN1+fMkn2BOyrPw97MI+hJLcH3gtsUlV3TrI9sG9Vva5x\nNC2w/s7Y44BbAZ+uqt/243cFbllVR7fMJ2lhJVkN2IRZN4Dd/GsyJdmiLz5oiszp53cN3aa9n6uq\nK9sk0rAk+Smwa1V5A2GKJPk2cG/gs3QTQ34LvLGqbHk1QZL8gmX99OcqW6JMviTrVdWlrXNoeGbt\nmzHbzehWmD61qs4ZfarFzQLzGEpyEvAS4P2zmsufVVV3bptMkjSoJC+gm+H0B2bNdquq7dul0kJL\n8mVW0K+vqvYdYRxJQ5LkRGCvqrq2dRaNTt/y5my6loavpVuNdHBVuYxeGlNJXkV3M/icJGsCXwF2\nodvA9QlVdXzTgBqKJFvMGSrgwqq6vEWecWCLjPG0TlV9f07bl2tahZEkLYj9gTtU1YWtg2io3tI6\ngEbPGwvTI8l+/cOf0rU6+wpdEQKAqnpXk2Aaiar6Qf/wMrr+y5pwSTYCtuH6mzp+o10iDcETgdf3\nj59Kd61vQbdH1oeBuzfKpSFypeE/zgLzePpTkq3pP6gkeTRdj15J0vj6DfCX1iE0XFV1UusMamLm\nxsIjgU2Bj/XHT6Brk6HJsXH/5/n91/oNs2hEknxpRee9iTSZkjyLboLAZsDpwD2A79Jtzq7JcVUt\nW/r/AOATVXUN8OMkazTMJS0qtsgYQ0luC3yAbhf6i4FfAE/yDstk6nuyHlZVT26dRdLwJDmEbibE\nV7n+bLe3NQuloUmyDfAGug2/Zs96sm/jBEvyjaq6z8rGJI2XJH+ku1F8BPA95vTm9ebiZOp7tO4M\nnFxVOybZFnh1VT2ucTQtoCQn061IuAA4F1haVT/vz51TVdu2zCctFktaB9A/JskSuhe0velmSGxb\nVfeyuDy5+t59G/f9niRNrl8DxwBrAuvN+tJkOpRuw95rgD2AjwKHN02kUdi4nygAQJKtWDbjVRMk\nyVFJNpx1vFGSr7bMpKHaFHglcGfgncD9gD9V1UkWlyfalTObtCa5Sb/plxs6Tp4XAV+ia330rlnF\n5QcBP2oZTFpMnME8hpzpMn2SvB/Yie6N7e9N5Z3ZKEnjKcmpVXW3JGdW1V36sW9W1b1bZ9PwJHkA\n3Sq0n/dDWwLPraqjm4XSUCQ5vap2nDP2w5kNujW5ktyErv3Nm4HXVNW7G0fSkCQ5km5m6wvp2mJc\nDKxRVQ9qGkySGrAH83g6JsmLgU9x/WLjRe0iach+138twRmN0kRJ8o6qeuHyNgGzb+PEurJflXRu\nkn8DfgvcsnEmDVlVHdW3R5lZTntOVf1tRX9HY+vaJJtV1XkASTZvHUjD1ReWH0xXXN4SeBfw+ZaZ\nNFxV9Yj+4UFJTgA2AI5qGEmSmnEG8xhK8ot5hsu+jZMvyU2r6vKVP1PSuEhyt6o6Ncl95zvv0trJ\nlGRn4GxgQ+C1dBuBvbmqTm4aTEOXZDe64tPfJ3pU1UebBdJQJHkw8N/A8f3QHsC/VNXX2qXSsCQ5\njK49xteAT1bVWY0jaUSS3AvYpqoOTbIxsG5Vzfd5XZImmgVmaQwk2RU4hO4Xls2T7EC3pPb5jaNJ\nWkVJNq+qX7fOoTa8cThdkhwObA2cDlzbD1dV7dculYYlySbArnQbvn27qi5oHElDkuQ6lq0snf0B\nO3Q/4+uPPpWGLcmBwFLgDlV1+yS3Bj5TVfdsHE2SRs4WGWMoyb8CH6+qP/fHGwFPqKr/bptMQ/QO\n4P50PZipqjOS2IdbmgxfoOuxTpLPVdWjGufRCMy+cQh443B6LAW2K2d4TIs9gK2r6v9L8k8zK1Za\nh9LCq6olrTOoiUcAdwVOA6iq3yWxneEES7ILN1yF9IlmgaRFxDfC8fTsmeIyQFVdDDy7YR6NQFX9\nZs7QtfM+UdK4yazHtjqaHjM3Di+E7sYh4I3DyXcWsGnrEBq+JO+hKzA/uR+6HHhfu0SShuCq/oZh\nQbcqqXEeDVGSjwDvAfYG7t1/3atlJmkxcQbzeFqSJDOzX5KsBqzZOJOG6zd9z8ZKsiawH13vTknj\nr5bzWBOuqn6TzL6/4I3DKXAL4CdJvg/8fXM/N/OcSLtV1U5JfgjdZtz973CSJsenk7wf2DDJs4Fn\nAB9qnEnDcw+6VUjXtQ4iLUYWmMfT0XRvZu+jK0Y8D3ernXTPA94J3AY4D/g68K9NE0laKDskuYRu\nJvPa/WOwb+Ok88bhdDqodQCNzNVJlrBsZuPNAYsS0gSpqrckuR9wCXAH4D+r6pjGsTQ8P6a7UWw/\nfWkebvI3hvpfVp9DtzQjdMXGD1WVM58kSRoDSW5Bd+Nw9nv5/lV1YdNgkhZEkqfS9WddCnwYeCzw\n6qr6ZNNgkoamX1n8+Kr6eOssWnhJjqXruX0y11+F9MhmoaRFxALzmEtyM2CzqvpR6ywaniRbAS/g\nhhsKuKRWkqRFLsmlzN8Cx5UKEybJ6lV1Tf/4Tiy7iXRsVZ3VNJykBZFkfbrVpLeh24T9mP74JcDp\nVfWwhvE0JEn2mm+8qo4bdRZpMbLAPIaSnAjsS1doPB34I3BSVR3QMpeGJ8kZwCHAmcxaXllVJzUL\nJUn6hyV5NyvotV1V+40wjqQFluS0qtqpdQ5Jw5Pki8DFwHeBvYCN6PZE2r+qTm+ZTcPVr0Bb2h+e\nUlV/aplHWkzswTyeNqiqS5I8Czi0qg5M4gzmyXZlVb2rdQhJ0io7ZdbjVwMHtgoiaSiy8qdIGnO3\nraq7ACT5EPAnYPOqurRtLA1TkkcBbwe+Sfda/74k/15VR7ZNJi0OzmAeQ0nOBPYBDgNeVVU/SPKj\nqtq+cTQNSZInAtvQ9eic3e/ptGahJEmrJMkPq+qurXNIWjhJzgPetrzzVbXcc5LGw9yVCq5cmA79\nquJ9quoP/fEmwNeraoe2yaTFwRnM4+k1wNHAt/ri8m2Bcxtn0nDdBXgKsCfLWmRUfyxJGk/e5Zcm\nz2rAujiTWZpkOyS5pH8cYO3+2L76k23JTHG590dgSasw0mLjDGZpDCQ5B9i+qq5qnUWStDCc8SRN\nHn+uJWkyJXkrcEfgE/3Q44FzqurF7VJJi4czmMdIkpdW1cHL2yDIjYEm2hnAhsAFrYNIkgaX5FKW\nvYevM2cGlLOepPHnzGVJmkwvBh4L3JPutf4w4LNNE0mLiAXm8XJ2/+cpK3yWJtEmwDlJfsD1ezDv\n2y6SJOkfVVXrtc4gaaj2ah1AkrTwqlv+/6n+S9IctsiQxkCS+843XlUnjTqLJEmSJEnTIMlJVXXf\nJBdz/ZXkM6vPbtYomrSoWGAeM0meBuwP3KEfOht4V1V9tF0qSZIkSZKkyZJkSVVdl2S1+c5X1bWj\nziQtRu54OUaSPBV4IfAi4NbAbYCXAvv35zShklya5JL+68ok187q2ylJkiRJkhZYVV3XPzykqq6d\n/QUc0jKbtJjYg3m8PB94RFX9ctbY8UkeBXwScBbzhJrbszPJw4FdGsWRJEnSCiR5JPAm4JZ0y6jd\nyFOSxtv2sw/6Gc07N8oiLTrOYB4v688pLgPQj/nL6hSpqi8Ae7bOIUmSpHkdDOxbVRtU1fpVtZ7F\nZUkaP0le1vdf3j7JRf3XxcAfgf9pHE9aNJzBPF7+OuA5jbl+FsyMJcBSrr/BgCRJkhaPP1TV2a1D\nSJJW2cHAW4E3AC+fGbT3snR9bvI3RpJcAfx0vlPAbavqpiOOpBFJcuisw2uAXwIfrKoL2iSSJEnS\n8iR5J7Ap8AXgbzPjVfX5ZqEkSaskyQbA1sBaM2NV9Z12iaTFwwLzGEmyxYrOV9WvRpVFkiRJ0vzm\nTA6YUVX1jJGHkSStsiTPAF4E3AY4k67/8slVtXvLXNJiYYFZGgNJDgZeR9cK5ShgB+CFVfWxpsEk\nSZIkSZpwSc4EdgG+W1U7JrkT8P+q6gmNo0mLgpv8SeNhn6q6BHgIcB5we+AlbSNJkiRpPkk2S3Jk\nkguS/CHJ55Js1jqXJGlgV1bVXwGSrFlVPwa2bZxJWjQsMEvjYY3+zwcBR1TVRS3DSJIkaYUOBb4E\n3JpuOfWX+zFJ0ng6P8mGdK/nRyf5HPCHxpmkRcMWGWMmyWrAYVX15NZZNDpJ3gg8nK5Fxi7AhsBX\nquruTYNJkiTpBpKcXlU7rmxMkjR+kuwFbAB8tar+trLnS9PAGcxjpqquBTZOsmbrLBqdqno5sCuw\ntKquBi4HHtY2lSRJkpbjT0menGS1/uvJwIWtQ0mSBpNk5yTrAlTVccAxwF3appIWD2cwj6Ek7wd2\nolt2d/nMeFW9rVkoDV2S3YAtgdVnxqrqo80CSZIkaV5JNgfeQzdBoIDvAPtX1a+aBpMkDSTJD4G7\nVdV1/fES4AdVdbe2yaTFYfWVP0WL0O/6ryXAeo2zaASSHA5sDZwOXNsPF2CBWZIkaZGpql8D+7bO\nIUlaMEtmissAVXVdkjVW9BekaeIM5jGW5KZVdfnKn6lxl+RsYLvyB1aSJGnRSvLSqjo4ybvpJgNc\nT1Xt1yCWJGkVJfkCcDTwAbrX938B7l9V3kyUsAfzWEqya5KfAGf3xzsk+e/GsTRcZwGbtg4hSZKk\nFTq7//MU4NR5viRJ4+m5wF7AH/qv+wLPbppIWkRskTGe3gHcn64HM1V1RpL7tI2kIbsF8JMk3wf+\nvkutd0slSZIWj6r6cv/wiqr6zOxzSR7TIJIkaQFU1R+AR7fOIS1WFpjHVFX9JsnsoWuX91xNhINa\nB5AkSdKN9grgMzdiTJK0iCV5UVW9Ncnbmb/10QENYkmLjgXm8fSbJLsBlWRNYD+WLcfTBKqqk5Js\nAuzcD32/qi5omUmSJEnXl+SBwIOA2yR516xT6wPXtEklSVoFP+v/PKtpCmmRc5O/MZTkFsA7gb2B\nAF8H9q+qC5sG09AkeSzwZuBEumt+b+AlVfXZlrkkSZK0TJIdgB2B1wD/OevUpcAJVXVxk2CSJElD\nZIFZGgNJzgDuNzNrOcnGwLFVtUPbZJIkSZoryRpVdXXrHJKkhZHkdsABwJbM6gZQVfu0yiQtJrbI\nGENJtgJewA1f2NzwbXItmdMS40JgSaswkiRJWqEtk7wB2A5Ya2awqm7bLpIkaRV8FjgE+BjugSXd\ngAXm8fQFuhe2LwPXNc6i0TgqydHAEf3x44CvNcwjSZKk5TsUOBB4O7AH8HS6NmeSpPF0XVW9u3UI\nabGyRcYYSvK9qrp76xwarSSPBO5F9+HkG1V1ZONIkiRJmkeSU6vqbknOrKq79GPfrKp7t84mSfrH\nJTkQOB84EvjbzHhVXdIslLSIWGAeQ0meCGxDt7nf7Be205qF0lD0fZ42qapvzxm/D/DbqvrZ/H9T\nkiRJrST5Nt2mzJ8Fjgd+C7yxqu7QNJgkaSBJfjPPcFXV5iMPIy1CtsgYT3cBngLsybIWGdUfa7K8\nA3jlPONX9OceOto4kiRJuhFeCKwD7Ae8lu739Kc1TSRJGlhV/VPrDNJi5gzmMZTkHGD7qrqqdRYN\nV5KzqurOyzn39yWXkiRJkiRpOPqV5DdQVZ8YdRZpMXIG83g6A9gQuKB1EA3dWis4t/bIUkiSJOlG\nS7IUeBWwBbM+c1XV9s1CSZJWxewe+mvRrUw5FbDALGGBeVxtApyT5Adcvwfzvu0iaUh+kOTZVfXB\n2YNJnkn3ZiZJkqTF5+PAS4AzWdbSTpI0pqrqX2YfJ9kI+EibNNLiY4uMMZTkvvONV9VJo86i4Uqy\nCd0utVexrKC8FFgTeERV/b5VNkmSJM0vybeq6l6tc0iShiPJ6sCZVXXH1lmkxcACszQGkuwBzPRi\n/nFVHd8yjyRJkpYvyV7AE4DjuP6Kw883CyVJGliSI4GZAtoS4E7AF6rqJe1SSYuHBeYxlORSlr2w\nrQmsAVxeVeu3SyVJkiQJIMnHgG2BH7OsRUZV1TPapZIkDaq/cTjjGuBXVfXLRnGkRccezGOoqtab\nfZzk4cAujeJIkiRJur4dquourUNIkhZGVR0HkGQd+lpakvWr6pKmwaRFYknrAFp1VfUFuh1MJUmS\nJLV3cpLtWoeQJC2MJM9Mcj7wf8BZdCtUzmqbSlo8bJExhpI8ctbhErpN3+5bVbs2iiRJkiSpl+Rs\nYGvgF3Q9mEPXImP7psEkSQNJci5wz6q6oHUWaTGyRcZ4euisx9cAvwQe1iaKJEmSpDke0DqAJGlB\n/RywHYa0HM5gliRJkqQFkmQJ8KOqunPrLJKkhZHkrsCHgJPpVqYAUFUHNAslLSL2YB5DSQ5Osn6S\nNZIcl+RPSZ7cOpckSZI07arqOuCMJJu3ziJJWjDvA74NnE7Xf3nmSxK2yBhX+1TVS5M8AjgPeAxw\nAvCxtrEkSZIkAbcCfpzk+8DlM4NVtW+7SJKkVXBdVe3XOoS0WFlgHk9r9H8+CDiiqi5K0jKPJEmS\npGVe3TqAJGlBHZfkGcCXuX6LDPsyS9iDeSwleSPwcOCvwC7AhsBXquruTYNJkiRJAiDJJsDO/eH3\nq+qClnkkSYNL8pt5hquqbIckYYF5bCXZCLikqq5Nsg6wflX9vnUuSZIkadoleSzwZuBEIMC9gZdU\n1Wdb5pIkSRoGC8xjKsluwJbManNSVR9tFkiSJEkSAEnOAO43M2s5ycbAsVW1Q9tkkqRBJFkCPIAb\n1mHe1SqTtJjYg3kMJTkc2Jpu99Jr++ECLDBLkiRJ7S2Z0xLjQmBJqzCSpFX2Rbq6y5nAdY2zSIuO\nBebxtBTYrpx+LkmSJC1GRyU5GjiiP34c8D8N80iSVs2WVXWX1iGkxcq76OPpLGDT1iEkSZIkLZPk\nJgBV9RLg/cD2wA7AB6rqZS2zSZJWydFJ9mwdQlqsnME8nm4B/CTJ94G/zQxW1b7tIkmSJElT77vA\nTkkOr6qnAJ9vHUiStCC+CXw5SQFX0W3gWlV1s7axpMXBAvN4Oqh1AEmSJEk3sGaSpwG7JXnk3JNV\nZcFZksbT24F7Yw9maV4WmMdQVZ2UZBNg537o+3M2EZEkSZI0es8DngRsCDx0zrnCGc2SNK7OBX7o\nXljS/OLPxvhJ8ljgzcCJdMsy7g28pKo+2zKXJEmSJEjyzKo6pHUOSdLCSHIosCXdhq2zW5W+q1Um\naTGxwDyGkpwB3G9m1nKSjYFjq2qHtskkSZIkASTZja4Y8fdVo1X10WaBJEkDS/La+car6j9GnUVa\njGyRMZ6WzGmJcSGwpFUYSZIkScskORzYGjgduLYfLsACsySNoZlCcpK1++O/tk0kLS4WmMfTUUmO\nBo7ojx8HfK1hHkmSJEnLLAW2s1enJE2GJNsBhwG36g5zHvDPVXV222TS4mCLjDHV70p9L7oezN+o\nqiMbR5IkSZIEJPkMsF9Vnd86iyRp1SX5FvDqqjqmP94bOKiq7tU2mbQ4WGAeI0luB2xSVd+eM34f\n4LdV9bM2ySRJkiTNSHICsCPwfa6/GdS+zUJJkgaW5Iy5+17NNyZNK1tkjJd3AK+cZ/yK/txDRxtH\nkiRJ0jwOah1AkrSgfpnkFcDh/fGTgV81zCMtKs5gHiNJzqqqOy/n3JlVdZdRZ5IkSZIkSZpkSW4O\nvJauVSnAN4ADq+rCdqmkxcMZzONlrRWcW3tkKSRJkiTdQPL/t3fHPFZVURSA1xoFGyEKITaEnlAJ\nUkhBQkJnZWdvLLS0tKOksQL/BbEiSkKssDJKA79AC7Wg0E4StgUzcTLDG3ViuBf8vuQl957brHpl\nv336e5JnTfA0yczM8eccCYD/wHaR/MnSOWCttpYOwL/yXduP9h62/TDJ9wvkAQAAts3MsZk5/ozf\nMeUywIur7ddt39j1/mbb20tmgjWxIuMF0vatJF8m+SN/FcrvJDma5P2Z+XmpbAAAAAAvo7b3Z+bt\nvzuD/ysrMl4gM/NLkkttryTZ2cV8e2a+WTAWAAAAwMvsSdvTM/NTkrQ9s3QgWBMTzAAAAACwQdv3\nknyRZGfA70qSj2fmq+VSwXoomAEAAADgANtrS9/N04tbv52ZXxeOBKvhkj8AAAAAONiVJOdm5ssk\nr7W9sHQgWAsTK2IyugAAAehJREFUzAAAAACwQdsbSY4kuTwzZ9ueSHJnZi4uHA1WwSV/AAAAALDZ\npZk53/Z+kszMo7ZHlw4Fa2FFBgAAAABs9rjtVpJJkrYnkzxZNhKsh4IZAAAAADa7meRWklNtryW5\nl+T6spFgPexgBgAAAIADtD2X5GqSJrk7Mw8WjgSroWAGAAAAgD3aHj/o+8z89ryywJopmAEAAABg\nj7Y/5une5e463nmfmTmzSDBYGQUzAAAAAACH4pI/AAAAADhA2w/afrb9fLrthaUzwVqYYAYAAACA\nDdreSHIkyeWZOdv2RJI7M3Nx4WiwCq8uHQAAAAAAVuzSzJxvez9JZuZR26NLh4K1sCIDAAAAADZ7\n3HYrTy/4S9uTSZ4sGwnWQ8EMAAAAAHu03fnn/80kt5Kcanstyb0k1xcLBitjBzMAAAAA7NH2h5k5\nv/18LsnVJE1yd2YeLBoOVsQOZgAAAADYrzsPM/MwycMFs8BqKZgBAAAAYL9TbT/d9HFmPn+eYWCt\nFMwAAAAAsN8rSV7PrklmYD87mAEAAABgj907mIHNtpYOAAAAAAArZHIZ/gETzAAAAACwR9sTM/No\n6RywdgpmAAAAAAAOxYoMAAAAAAAORcEMAAAAAMChKJgBAAAAADgUBTMAAAAAAIfyJ+uV/l3jQ8Ms\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f01ecc62128>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['Rank A: Real-Time Performance'].plot(kind='bar')\n",
    "plt.title('Real Time Performance (%) per Sector')\n",
    "plt.tight_layout()\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Working with Crypto Currencies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To just get the current exchange rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "cc = CryptoCurrencies(key=os.environ['API_KEY'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To get the intraday price of bitcoin "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>1a. price (CNY)</th>\n",
       "      <th>1b. price (USD)</th>\n",
       "      <th>2. volume</th>\n",
       "      <th>3. market cap (USD)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>922.000000</td>\n",
       "      <td>922.000000</td>\n",
       "      <td>922.000000</td>\n",
       "      <td>922.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>92991.062733</td>\n",
       "      <td>14300.945469</td>\n",
       "      <td>0.166866</td>\n",
       "      <td>2386.971637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>4394.086228</td>\n",
       "      <td>679.068238</td>\n",
       "      <td>0.023152</td>\n",
       "      <td>359.894840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>85534.210870</td>\n",
       "      <td>13142.529558</td>\n",
       "      <td>0.122420</td>\n",
       "      <td>1695.678448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>88542.864820</td>\n",
       "      <td>13607.126501</td>\n",
       "      <td>0.148940</td>\n",
       "      <td>2110.466381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>94697.432190</td>\n",
       "      <td>14587.462789</td>\n",
       "      <td>0.170690</td>\n",
       "      <td>2377.083164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>96798.409910</td>\n",
       "      <td>14888.627226</td>\n",
       "      <td>0.185670</td>\n",
       "      <td>2640.120143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>98548.361320</td>\n",
       "      <td>15159.653779</td>\n",
       "      <td>0.200390</td>\n",
       "      <td>2983.532010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       1a. price (CNY)  1b. price (USD)   2. volume  3. market cap (USD)\n",
       "count       922.000000       922.000000  922.000000           922.000000\n",
       "mean      92991.062733     14300.945469    0.166866          2386.971637\n",
       "std        4394.086228       679.068238    0.023152           359.894840\n",
       "min       85534.210870     13142.529558    0.122420          1695.678448\n",
       "25%       88542.864820     13607.126501    0.148940          2110.466381\n",
       "50%       94697.432190     14587.462789    0.170690          2377.083164\n",
       "75%       96798.409910     14888.627226    0.185670          2640.120143\n",
       "max       98548.361320     15159.653779    0.200390          2983.532010"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# I changed the internal format of the the class to be our friendly data frame.\n",
    "cc.output_format='pandas'\n",
    "data, meta_data = cc.get_digital_currency_intraday(symbol='BTC', market='CNY')\n",
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>1a. price (CNY)</th>\n",
       "      <th>1b. price (USD)</th>\n",
       "      <th>2. volume</th>\n",
       "      <th>3. market cap (USD)</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>2018-01-01 09:25:00</th>\n",
       "      <td>88187.41817</td>\n",
       "      <td>13507.550170</td>\n",
       "      <td>0.15565</td>\n",
       "      <td>2102.450184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 09:30:00</th>\n",
       "      <td>88187.41817</td>\n",
       "      <td>13507.550170</td>\n",
       "      <td>0.15565</td>\n",
       "      <td>2102.450184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 09:35:00</th>\n",
       "      <td>88187.41817</td>\n",
       "      <td>13553.116458</td>\n",
       "      <td>0.15565</td>\n",
       "      <td>2109.542577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 09:40:00</th>\n",
       "      <td>88187.41817</td>\n",
       "      <td>13553.116458</td>\n",
       "      <td>0.15565</td>\n",
       "      <td>2109.542577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-01 09:45:00</th>\n",
       "      <td>88542.86482</td>\n",
       "      <td>13607.743410</td>\n",
       "      <td>0.15975</td>\n",
       "      <td>2173.837010</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     1a. price (CNY)  1b. price (USD)  2. volume  \\\n",
       "date                                                               \n",
       "2018-01-01 09:25:00      88187.41817     13507.550170    0.15565   \n",
       "2018-01-01 09:30:00      88187.41817     13507.550170    0.15565   \n",
       "2018-01-01 09:35:00      88187.41817     13553.116458    0.15565   \n",
       "2018-01-01 09:40:00      88187.41817     13553.116458    0.15565   \n",
       "2018-01-01 09:45:00      88542.86482     13607.743410    0.15975   \n",
       "\n",
       "                     3. market cap (USD)  \n",
       "date                                      \n",
       "2018-01-01 09:25:00          2102.450184  \n",
       "2018-01-01 09:30:00          2102.450184  \n",
       "2018-01-01 09:35:00          2109.542577  \n",
       "2018-01-01 09:40:00          2109.542577  \n",
       "2018-01-01 09:45:00          2173.837010  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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/oIIZAAAAQKwVWmTQgxmjXCphSvsEMcB41pXOatXWNh0zrTbqqQxb4Z1FXNbG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\nAAAAABr5/5G0meABkJkPAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f01ecc2fa58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['1b. price (USD)'].plot()\n",
    "plt.tight_layout()\n",
    "plt.title('Intraday value for bitcoin (BTC)')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:avantage]",
   "language": "python",
   "name": "conda-env-avantage-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}