ETH Price Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from pandas_datareader.data import DataReader\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import date\n",
    "from fbprophet import Prophet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date(UTC)</th>\n",
       "      <th>UnixTimeStamp</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7/30/2015</td>\n",
       "      <td>1438214400</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7/31/2015</td>\n",
       "      <td>1438300800</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8/1/2015</td>\n",
       "      <td>1438387200</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8/2/2015</td>\n",
       "      <td>1438473600</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8/3/2015</td>\n",
       "      <td>1438560000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>8/4/2015</td>\n",
       "      <td>1438646400</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>8/5/2015</td>\n",
       "      <td>1438732800</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8/6/2015</td>\n",
       "      <td>1438819200</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8/7/2015</td>\n",
       "      <td>1438905600</td>\n",
       "      <td>3.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8/8/2015</td>\n",
       "      <td>1438992000</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>8/9/2015</td>\n",
       "      <td>1439078400</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>8/10/2015</td>\n",
       "      <td>1439164800</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>8/11/2015</td>\n",
       "      <td>1439251200</td>\n",
       "      <td>0.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>8/12/2015</td>\n",
       "      <td>1439337600</td>\n",
       "      <td>1.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>8/13/2015</td>\n",
       "      <td>1439424000</td>\n",
       "      <td>1.88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>8/14/2015</td>\n",
       "      <td>1439510400</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8/15/2015</td>\n",
       "      <td>1439596800</td>\n",
       "      <td>1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>8/17/2015</td>\n",
       "      <td>1439769600</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>8/16/2015</td>\n",
       "      <td>1439683200</td>\n",
       "      <td>1.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>8/18/2015</td>\n",
       "      <td>1439856000</td>\n",
       "      <td>1.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8/19/2015</td>\n",
       "      <td>1439942400</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>8/20/2015</td>\n",
       "      <td>1440028800</td>\n",
       "      <td>1.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8/21/2015</td>\n",
       "      <td>1440115200</td>\n",
       "      <td>1.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8/22/2015</td>\n",
       "      <td>1440201600</td>\n",
       "      <td>1.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>8/23/2015</td>\n",
       "      <td>1440288000</td>\n",
       "      <td>1.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>8/24/2015</td>\n",
       "      <td>1440374400</td>\n",
       "      <td>1.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>8/25/2015</td>\n",
       "      <td>1440460800</td>\n",
       "      <td>1.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8/26/2015</td>\n",
       "      <td>1440547200</td>\n",
       "      <td>1.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>8/27/2015</td>\n",
       "      <td>1440633600</td>\n",
       "      <td>1.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>8/28/2015</td>\n",
       "      <td>1440720000</td>\n",
       "      <td>1.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Date(UTC)  UnixTimeStamp  Value\n",
       "0   7/30/2015     1438214400   0.00\n",
       "1   7/31/2015     1438300800   0.00\n",
       "2    8/1/2015     1438387200   0.00\n",
       "3    8/2/2015     1438473600   0.00\n",
       "4    8/3/2015     1438560000   0.00\n",
       "5    8/4/2015     1438646400   0.00\n",
       "6    8/5/2015     1438732800   0.00\n",
       "7    8/6/2015     1438819200   0.00\n",
       "8    8/7/2015     1438905600   3.00\n",
       "9    8/8/2015     1438992000   1.20\n",
       "10   8/9/2015     1439078400   1.20\n",
       "11  8/10/2015     1439164800   0.00\n",
       "12  8/11/2015     1439251200   0.99\n",
       "13  8/12/2015     1439337600   1.29\n",
       "14  8/13/2015     1439424000   1.88\n",
       "15  8/14/2015     1439510400   1.79\n",
       "16  8/15/2015     1439596800   1.79\n",
       "17  8/17/2015     1439769600   1.30\n",
       "18  8/16/2015     1439683200   1.37\n",
       "19  8/18/2015     1439856000   1.36\n",
       "20  8/19/2015     1439942400   1.24\n",
       "21  8/20/2015     1440028800   1.52\n",
       "22  8/21/2015     1440115200   1.44\n",
       "23  8/22/2015     1440201600   1.40\n",
       "24  8/23/2015     1440288000   1.35\n",
       "25  8/24/2015     1440374400   1.24\n",
       "26  8/25/2015     1440460800   1.27\n",
       "27  8/26/2015     1440547200   1.18\n",
       "28  8/27/2015     1440633600   1.14\n",
       "29  8/28/2015     1440720000   1.30"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "\n",
    "ETH=pd.read_csv('export-EtherPrice.csv')\n",
    "\n",
    "ETH.head(30)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date(UTC)</th>\n",
       "      <th>UnixTimeStamp</th>\n",
       "      <th>Value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>1/7/2018</td>\n",
       "      <td>1515283200</td>\n",
       "      <td>1117.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>1/8/2018</td>\n",
       "      <td>1515369600</td>\n",
       "      <td>1136.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>1/9/2018</td>\n",
       "      <td>1515456000</td>\n",
       "      <td>1289.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>1/10/2018</td>\n",
       "      <td>1515542400</td>\n",
       "      <td>1248.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>893</th>\n",
       "      <td>1/11/2018</td>\n",
       "      <td>1515628800</td>\n",
       "      <td>1139.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>1/12/2018</td>\n",
       "      <td>1515715200</td>\n",
       "      <td>1261.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>1/13/2018</td>\n",
       "      <td>1515801600</td>\n",
       "      <td>1385.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>1/14/2018</td>\n",
       "      <td>1515888000</td>\n",
       "      <td>1359.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>1/15/2018</td>\n",
       "      <td>1515974400</td>\n",
       "      <td>1278.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>1/16/2018</td>\n",
       "      <td>1516060800</td>\n",
       "      <td>1050.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>1/17/2018</td>\n",
       "      <td>1516147200</td>\n",
       "      <td>1024.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>1/18/2018</td>\n",
       "      <td>1516233600</td>\n",
       "      <td>1012.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>1/19/2018</td>\n",
       "      <td>1516320000</td>\n",
       "      <td>1037.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>1/20/2018</td>\n",
       "      <td>1516406400</td>\n",
       "      <td>1150.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>1/21/2018</td>\n",
       "      <td>1516492800</td>\n",
       "      <td>1049.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>904</th>\n",
       "      <td>1/22/2018</td>\n",
       "      <td>1516579200</td>\n",
       "      <td>999.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>905</th>\n",
       "      <td>1/23/2018</td>\n",
       "      <td>1516665600</td>\n",
       "      <td>984.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>1/24/2018</td>\n",
       "      <td>1516752000</td>\n",
       "      <td>1061.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>1/25/2018</td>\n",
       "      <td>1516838400</td>\n",
       "      <td>1046.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>908</th>\n",
       "      <td>1/26/2018</td>\n",
       "      <td>1516924800</td>\n",
       "      <td>1048.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>1/27/2018</td>\n",
       "      <td>1517011200</td>\n",
       "      <td>1109.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>910</th>\n",
       "      <td>1/28/2018</td>\n",
       "      <td>1517097600</td>\n",
       "      <td>1231.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>1/29/2018</td>\n",
       "      <td>1517184000</td>\n",
       "      <td>1169.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912</th>\n",
       "      <td>1/30/2018</td>\n",
       "      <td>1517270400</td>\n",
       "      <td>1063.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>1/31/2018</td>\n",
       "      <td>1517356800</td>\n",
       "      <td>1111.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>2/1/2018</td>\n",
       "      <td>1517443200</td>\n",
       "      <td>1026.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>915</th>\n",
       "      <td>2/2/2018</td>\n",
       "      <td>1517529600</td>\n",
       "      <td>917.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>2/3/2018</td>\n",
       "      <td>1517616000</td>\n",
       "      <td>970.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>917</th>\n",
       "      <td>2/4/2018</td>\n",
       "      <td>1517702400</td>\n",
       "      <td>827.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>918</th>\n",
       "      <td>2/5/2018</td>\n",
       "      <td>1517788800</td>\n",
       "      <td>686.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Date(UTC)  UnixTimeStamp    Value\n",
       "889   1/7/2018     1515283200  1117.75\n",
       "890   1/8/2018     1515369600  1136.11\n",
       "891   1/9/2018     1515456000  1289.24\n",
       "892  1/10/2018     1515542400  1248.99\n",
       "893  1/11/2018     1515628800  1139.32\n",
       "894  1/12/2018     1515715200  1261.03\n",
       "895  1/13/2018     1515801600  1385.02\n",
       "896  1/14/2018     1515888000  1359.48\n",
       "897  1/15/2018     1515974400  1278.69\n",
       "898  1/16/2018     1516060800  1050.26\n",
       "899  1/17/2018     1516147200  1024.69\n",
       "900  1/18/2018     1516233600  1012.97\n",
       "901  1/19/2018     1516320000  1037.36\n",
       "902  1/20/2018     1516406400  1150.50\n",
       "903  1/21/2018     1516492800  1049.09\n",
       "904  1/22/2018     1516579200   999.64\n",
       "905  1/23/2018     1516665600   984.47\n",
       "906  1/24/2018     1516752000  1061.78\n",
       "907  1/25/2018     1516838400  1046.37\n",
       "908  1/26/2018     1516924800  1048.58\n",
       "909  1/27/2018     1517011200  1109.08\n",
       "910  1/28/2018     1517097600  1231.58\n",
       "911  1/29/2018     1517184000  1169.96\n",
       "912  1/30/2018     1517270400  1063.75\n",
       "913  1/31/2018     1517356800  1111.31\n",
       "914   2/1/2018     1517443200  1026.19\n",
       "915   2/2/2018     1517529600   917.47\n",
       "916   2/3/2018     1517616000   970.87\n",
       "917   2/4/2018     1517702400   827.59\n",
       "918   2/5/2018     1517788800   686.67"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ETH.tail(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
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Gh54H+P+8/0LuenIzX13xRuLRCH/4zV+z7OQZrHzXWXnldyJQEBCRojtwNGiY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a18dd55c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ETH['Value'].plot(title='ETH Historical Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ds</th>\n",
       "      <th>UnixTimeStamp</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>859</th>\n",
       "      <td>12/5/2017</td>\n",
       "      <td>1512432000</td>\n",
       "      <td>453.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>12/6/2017</td>\n",
       "      <td>1512518400</td>\n",
       "      <td>422.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>12/7/2017</td>\n",
       "      <td>1512604800</td>\n",
       "      <td>421.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>12/11/2017</td>\n",
       "      <td>1512950400</td>\n",
       "      <td>513.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>12/12/2017</td>\n",
       "      <td>1513036800</td>\n",
       "      <td>656.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>12/13/2017</td>\n",
       "      <td>1513123200</td>\n",
       "      <td>699.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>12/14/2017</td>\n",
       "      <td>1513209600</td>\n",
       "      <td>693.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>12/15/2017</td>\n",
       "      <td>1513296000</td>\n",
       "      <td>684.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>12/16/2017</td>\n",
       "      <td>1513382400</td>\n",
       "      <td>692.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>12/17/2017</td>\n",
       "      <td>1513468800</td>\n",
       "      <td>717.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>12/18/2017</td>\n",
       "      <td>1513555200</td>\n",
       "      <td>785.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>12/19/2017</td>\n",
       "      <td>1513641600</td>\n",
       "      <td>812.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>12/20/2017</td>\n",
       "      <td>1513728000</td>\n",
       "      <td>799.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>12/21/2017</td>\n",
       "      <td>1513814400</td>\n",
       "      <td>789.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>12/22/2017</td>\n",
       "      <td>1513900800</td>\n",
       "      <td>657.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>12/23/2017</td>\n",
       "      <td>1513987200</td>\n",
       "      <td>700.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>12/24/2017</td>\n",
       "      <td>1514073600</td>\n",
       "      <td>675.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>12/25/2017</td>\n",
       "      <td>1514160000</td>\n",
       "      <td>723.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>12/26/2017</td>\n",
       "      <td>1514246400</td>\n",
       "      <td>753.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>12/27/2017</td>\n",
       "      <td>1514332800</td>\n",
       "      <td>739.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>12/28/2017</td>\n",
       "      <td>1514419200</td>\n",
       "      <td>716.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>12/29/2017</td>\n",
       "      <td>1514505600</td>\n",
       "      <td>739.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>12/30/2017</td>\n",
       "      <td>1514592000</td>\n",
       "      <td>692.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>12/31/2017</td>\n",
       "      <td>1514678400</td>\n",
       "      <td>741.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>1/1/2018</td>\n",
       "      <td>1514764800</td>\n",
       "      <td>756.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>1/2/2018</td>\n",
       "      <td>1514851200</td>\n",
       "      <td>861.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>1/3/2018</td>\n",
       "      <td>1514937600</td>\n",
       "      <td>941.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>1/4/2018</td>\n",
       "      <td>1515024000</td>\n",
       "      <td>944.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>1/5/2018</td>\n",
       "      <td>1515110400</td>\n",
       "      <td>967.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>1/6/2018</td>\n",
       "      <td>1515196800</td>\n",
       "      <td>1006.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>1/7/2018</td>\n",
       "      <td>1515283200</td>\n",
       "      <td>1117.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>1/8/2018</td>\n",
       "      <td>1515369600</td>\n",
       "      <td>1136.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>1/9/2018</td>\n",
       "      <td>1515456000</td>\n",
       "      <td>1289.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>1/10/2018</td>\n",
       "      <td>1515542400</td>\n",
       "      <td>1248.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>893</th>\n",
       "      <td>1/11/2018</td>\n",
       "      <td>1515628800</td>\n",
       "      <td>1139.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>1/12/2018</td>\n",
       "      <td>1515715200</td>\n",
       "      <td>1261.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>1/13/2018</td>\n",
       "      <td>1515801600</td>\n",
       "      <td>1385.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>1/14/2018</td>\n",
       "      <td>1515888000</td>\n",
       "      <td>1359.48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>1/15/2018</td>\n",
       "      <td>1515974400</td>\n",
       "      <td>1278.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>1/16/2018</td>\n",
       "      <td>1516060800</td>\n",
       "      <td>1050.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>1/17/2018</td>\n",
       "      <td>1516147200</td>\n",
       "      <td>1024.69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>1/18/2018</td>\n",
       "      <td>1516233600</td>\n",
       "      <td>1012.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>1/19/2018</td>\n",
       "      <td>1516320000</td>\n",
       "      <td>1037.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>1/20/2018</td>\n",
       "      <td>1516406400</td>\n",
       "      <td>1150.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>1/21/2018</td>\n",
       "      <td>1516492800</td>\n",
       "      <td>1049.09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>904</th>\n",
       "      <td>1/22/2018</td>\n",
       "      <td>1516579200</td>\n",
       "      <td>999.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>905</th>\n",
       "      <td>1/23/2018</td>\n",
       "      <td>1516665600</td>\n",
       "      <td>984.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>1/24/2018</td>\n",
       "      <td>1516752000</td>\n",
       "      <td>1061.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>1/25/2018</td>\n",
       "      <td>1516838400</td>\n",
       "      <td>1046.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>908</th>\n",
       "      <td>1/26/2018</td>\n",
       "      <td>1516924800</td>\n",
       "      <td>1048.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>1/27/2018</td>\n",
       "      <td>1517011200</td>\n",
       "      <td>1109.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>910</th>\n",
       "      <td>1/28/2018</td>\n",
       "      <td>1517097600</td>\n",
       "      <td>1231.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>1/29/2018</td>\n",
       "      <td>1517184000</td>\n",
       "      <td>1169.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912</th>\n",
       "      <td>1/30/2018</td>\n",
       "      <td>1517270400</td>\n",
       "      <td>1063.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>1/31/2018</td>\n",
       "      <td>1517356800</td>\n",
       "      <td>1111.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>2/1/2018</td>\n",
       "      <td>1517443200</td>\n",
       "      <td>1026.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>915</th>\n",
       "      <td>2/2/2018</td>\n",
       "      <td>1517529600</td>\n",
       "      <td>917.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>2/3/2018</td>\n",
       "      <td>1517616000</td>\n",
       "      <td>970.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>917</th>\n",
       "      <td>2/4/2018</td>\n",
       "      <td>1517702400</td>\n",
       "      <td>827.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>918</th>\n",
       "      <td>2/5/2018</td>\n",
       "      <td>1517788800</td>\n",
       "      <td>686.67</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ds  UnixTimeStamp        y\n",
       "859   12/5/2017     1512432000   453.96\n",
       "860   12/6/2017     1512518400   422.48\n",
       "861   12/7/2017     1512604800   421.15\n",
       "862  12/11/2017     1512950400   513.29\n",
       "863  12/12/2017     1513036800   656.52\n",
       "864  12/13/2017     1513123200   699.09\n",
       "865  12/14/2017     1513209600   693.58\n",
       "866  12/15/2017     1513296000   684.27\n",
       "867  12/16/2017     1513382400   692.83\n",
       "868  12/17/2017     1513468800   717.71\n",
       "869  12/18/2017     1513555200   785.99\n",
       "870  12/19/2017     1513641600   812.50\n",
       "871  12/20/2017     1513728000   799.17\n",
       "872  12/21/2017     1513814400   789.39\n",
       "873  12/22/2017     1513900800   657.83\n",
       "874  12/23/2017     1513987200   700.44\n",
       "875  12/24/2017     1514073600   675.91\n",
       "876  12/25/2017     1514160000   723.14\n",
       "877  12/26/2017     1514246400   753.40\n",
       "878  12/27/2017     1514332800   739.94\n",
       "879  12/28/2017     1514419200   716.69\n",
       "880  12/29/2017     1514505600   739.60\n",
       "881  12/30/2017     1514592000   692.99\n",
       "882  12/31/2017     1514678400   741.13\n",
       "883    1/1/2018     1514764800   756.20\n",
       "884    1/2/2018     1514851200   861.97\n",
       "885    1/3/2018     1514937600   941.10\n",
       "886    1/4/2018     1515024000   944.83\n",
       "887    1/5/2018     1515110400   967.13\n",
       "888    1/6/2018     1515196800  1006.41\n",
       "889    1/7/2018     1515283200  1117.75\n",
       "890    1/8/2018     1515369600  1136.11\n",
       "891    1/9/2018     1515456000  1289.24\n",
       "892   1/10/2018     1515542400  1248.99\n",
       "893   1/11/2018     1515628800  1139.32\n",
       "894   1/12/2018     1515715200  1261.03\n",
       "895   1/13/2018     1515801600  1385.02\n",
       "896   1/14/2018     1515888000  1359.48\n",
       "897   1/15/2018     1515974400  1278.69\n",
       "898   1/16/2018     1516060800  1050.26\n",
       "899   1/17/2018     1516147200  1024.69\n",
       "900   1/18/2018     1516233600  1012.97\n",
       "901   1/19/2018     1516320000  1037.36\n",
       "902   1/20/2018     1516406400  1150.50\n",
       "903   1/21/2018     1516492800  1049.09\n",
       "904   1/22/2018     1516579200   999.64\n",
       "905   1/23/2018     1516665600   984.47\n",
       "906   1/24/2018     1516752000  1061.78\n",
       "907   1/25/2018     1516838400  1046.37\n",
       "908   1/26/2018     1516924800  1048.58\n",
       "909   1/27/2018     1517011200  1109.08\n",
       "910   1/28/2018     1517097600  1231.58\n",
       "911   1/29/2018     1517184000  1169.96\n",
       "912   1/30/2018     1517270400  1063.75\n",
       "913   1/31/2018     1517356800  1111.31\n",
       "914    2/1/2018     1517443200  1026.19\n",
       "915    2/2/2018     1517529600   917.47\n",
       "916    2/3/2018     1517616000   970.87\n",
       "917    2/4/2018     1517702400   827.59\n",
       "918    2/5/2018     1517788800   686.67"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "ETH.rename(columns={'Date(UTC)':'ds','Value':'y'},inplace=True)\n",
    "ETH.tail(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x107c4d4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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yCXjcZAV0at5HoYAsIiIikgAfdJeKEy/0RSIRbNvG7XYTCAQGtGQ0dRlk+Ps6\nZJ871Be4L55VEHtGp2EyfULGgNP05INTQBYRERFJgNM99OOE/ivOALZtD9gfuccwae4xyEv34TgO\nv3urmZKJGRTmnty9Imo5FPX7WT4cBWQRERGRBPkgu1ScWHHuv4J8YuXZMG1efrcNjwvcLhe7jrax\nr6GT/3PpnNj9PYZFXrpvQD+yfDiaQREREZFRoP+K8/t7kOvbwxiWxaTMvr2NH9/fQKbfw+qFU2P3\nd0ctSifpWOmRoIAsIiIiMkrEW3HuMUwOt4ZJ9/a9eGfaDsF3Wrh0TgGB946Rth0HF1CQqd0rRoIC\nsoiIiMgo9FZjJ9kBHweaujBMm/yMvq3d9h3rpMuwuGh2fmxsj2ExKcuPz6MjLkaCArKIiIhICpmW\nTU/UwnbA43JxuLWHsyakc7ClB9N2yAl4B6wMB99pxu2C86dPiF0LR21KJupo6ZGigCwiIiKSIi3d\nBrtr2tn7x53s+cOLnP/xi5g891ye+f0L/OkPL3LJJZdQuHTZgPEP76nn0/MnkfveYSFdEZM0n5t8\ntVeMGAVkERERkRQ41NLNG41dHN3/J757/eeJGgYP3/2v/O+//yd++oPvEo1G2XbXv/LvD21nyXsh\n+Zev1xOxbG644KzYc3pNi0VTc0j36XCQkaJGFREREZEkCoVC3PKDH/Krp4JMzPDz+s6XiEYNbNvC\njEZ57qlfE41GsS0LM2qwO/QCAI7j8Js3Gll21gRm5GXEnmc7aGu3EabZFBEREUmS2Gl5hoHP5+PG\nf9zMsdoaPB4vjm1jOw55+ZPw+fyYGHh9fpaWXwTAW03d1LT3cl1Zcex5lu3gcbsVkEeYZlNEREQk\nSYLBIJFI32qx4TjcdvO3sB0H6FshxnH47faHWf+V/012Tg5Lyy+KtVc88lo9AY+bT86dGHtel2FS\nmBPA49bR0iNJAVlEREQkSSoqKvD5fUSjfT+bpgU4g8Yd2P8a//afv4z9/HR1E7/ae4yrl0yLvZwH\nEDFtpmZr94qRph5kERERkSRZev4FbL7vf7jqmvW4XG5OhGO3Z+ALdp9ctTr2a8O0+fHvD3LO5Cz+\n7uLZseuO4+ByQU6/wCwjQyvIIiIiIknS0Rvl7NLzefGJR7AtEwCXy8VV16xn/qIlPPPbx/jkqtX8\n+bUbeG33TnaHXqB5+nIauyz+/rK5+L0n1zZ7ohYFGf4B12RkKCCLiIiIJMnh42EO7d3NYw//V1/P\nMeD1+fmN5eH+AAAgAElEQVSzq69hydJl/Pm1GwB4bfdONq67EuPcz+JceD5nZbpYPiNvwLO6DZt5\nk7KS/RXGBf2VQ0RERCQJegyTpu4I+3aFsCwrdv3CistiL+I5jtO3ndtLfyJSfi3Ox6/F9dbzXN77\nCm7XyRfxDNMmzetmUpb6jxMhYQH5+uuvZ/LkySxatCh27fjx46xcuZK5c+eycuVKWltbY59t3ryZ\nkpIS5s+fz5NPPhm7vnv3bhYvXkxJSQlf+9rXYn/bEhERERntQqEQmzdv5sUXX2LnkTZ8Hjdl5Rfh\nOdFz7E/n+Zpurr3/BW54+FWu3rqb83/6Ao9YC+C81dBah+/5+1j28QsHPLfLMJmel6bdKxIkYQF5\nw4YN7NixY8C1W2+9lRUrVlBdXc2KFSu49dZbAdi/fz/btm1j37597Nixg69+9auxv1lt3LiRe+65\nh+rqaqqrqwc9U0RERGQ0OrHn8c0338zKlZfxx1f+QF66jyVLl7F67bWQkQvr/w3rM3/HW+0Or9d3\n0GNYLJs+gYtm5fOdJT5umNTIXQ/+d2yF+YSo5VCQoaOlEyVhPcgXX3wxhw8fHnDt0UcfJRgMAnDd\ndddRUVHBP//zP/Poo49yzTXXEAgEmDVrFiUlJezcuZOZM2fS0dHB8uXLAVi/fj3bt29n1apViSpb\nREREZEQEg0EMw8CyLAzD4PVXXuKSi/pWgi/83Bf4ZXQeTkYuPHsP1L2Bp7OBzf/5C0rLFp98yCeX\nD3pua4/BtJwAE9K1e0WiJPUlvYaGBqZNmwbA1KlTaWhoAKC2tjYWggGKi4upra3F5/NRXFw86PpQ\ntmzZwpYtWwA4duwYdXV1ifgaSdHU1JTqEkY1zU98mpfhaX6GprmJT/MyPM3P0Jqamli4cCE+X1+I\n9fp8nH3OAtqaG4iYNj/e7+AULeSsd3ZwdM9vcBwb0+PhpWeeZObMmcM+u60nyqy0XOrre5LwTUbW\nWPkzk7JdLFwuFy7XyPbNVFZWUllZCUBZWRmFhYUj+vxkG+v1J5rmJz7Ny/A0P0PT3MSneRme5mdo\n5557Ls888wzBYJCcklKWnn8BPo+bX71eT01nlB99bgF5bQE2Pnk/USOCy+ViatFZTJg4ZchnhqMW\nRXku5szIT+I3GVlj4c9MUnexmDJlCvX19QDU19czefJkAIqKijh69GhsXE1NDUVFRRQVFVFTUzPo\nuoiIiMhYUF5ezte/+W1mL/oYPo+biGnz8Kv1zMpP5+LZ+SxZuowb//GfcLvd2LbNj275Lq/t3jnk\n87oNi6KctCR+g/EpqQF59erVPPjggwA8+OCDXHHFFbHr27ZtIxKJcOjQIaqrq1m2bBnTpk0jJyeH\nl19+Gcdx2Lp1a+weERERkbGgo9fkxD+aP/DKUaqbu/nqx2fG/iW9vfU4tuPg2DZm1GB36IW4z3Ec\nB8txmKSjpRMuYS0W69atIxgM0tzcTHFxMbfccgvf+c53WLt2Lffeey8zZszg4YcfBmDhwoWsXbuW\nBQsW4PV6ueOOO2Lbn9x5551s2LCBcDjMqlWr9IKeiIiIjAmhUIhgMEjxwjKKzyklYtps21PHpXMK\nuLRkYmzc0vKL8Pn8mBh4fX6Wll8U++zEaXpLyy+i8OxzmT4hnXSfJ95vJyMoYQH5oYceinu9qqoq\n7vVNmzaxadOmQdfLysrYu3fviNYmIiIikki7du3immuuwTAMvD4fd/z3djryS+iMmPz54mkDxi5Z\nuox/f2h7LAif2NLtxGl60aiBz+fj//7Xdi5dvTIVX2fc0VHTIiIiIiMsFArFtnhzgD+9/CJH5uWR\n5fdQNj130PglS5cN2ut4d+gFolED27KIAode/QP+P/90cr7AOKejpkVERERGWHl5OX6/H4/Hg8/n\n49wLLuS5gy18YnYBPs/pxa8TrRdujwevz8dln7w0wVXLCVpBFhEREUmA6667jsauXi5b/QWac2bT\n3vsml82deOobgV7TYtrZ57L5vl/w2s6X+MLnPs2KSz6R4IrlBAVkERERkREUCoX4/Oc/TzQaxevz\ncflV1/Dff6plVn46n5g9eP/iXtPC+96OFi6Xi3DUIhy1mZDu5/OrLuWLV32KnDSdmpdMarEQERER\nGUFbt27FMAwcxyFqGDzy6KPsPdbJ5WdPwf2+Q9Icx6G91+Rwa5iOiElrOAouiJgWi6ZlUzwhQ+E4\nBbSCLCIiIpJADb6+k/Hev3rsOA6dEZMpWQHy0n2cV5SLz+PGsh2O9xhk+rWdW6poBVlERERkBK1f\nvx6/34/L5cLn95M+r4zcNC9zCjJiY3qjFo1dBmHTZmZ+BuUz80nzefC4Xfi9bqbmpMUOEpHk0wqy\niIiIyAgqLy/nF7/4Bb9+bifnl1/E9/d5KC3MHBB4OyImS6dPIDfNS8Abf73yxEEjFRUVlJeXJ6t8\nQQFZREREZMQtWHIevrkXcLwnSs1Lf+IvlxbHPjMtG9uBCeleAt74bRShUIgVK1ZgGAZ+v5+qqiqF\n5CRSi4WIiIjICGvo7MXvcfP0gSY8bhcr5/Vt72baDs09UeZOzBwyHAMEg8HYQSOGYRAMBpNUuYAC\nsoiIiMiIa+2Jkun38MrRdhZNzSb3vZ0oOnujzCnIZN7krGHvr6ioiB004vf7qaioSELVcoJaLERE\nRERGUNSyiVg2EdPmzcZONpw//eRntsPkbP8pn1FeXk5VVZV6kFNEAVlERERkBHVFTBwH9tR1YDlQ\nNn0C0Letm9vlIidwevGrvLxcwThF1GIhIiIiMoKaugy8bhe7jrbh87hYPC0bgIhpk5PmxetR/Brt\n9F9IREREZAQ1dEVI93nYVdPO4qk5pL33Ml6XYTElK5Di6uR0KCCLiIiIjBDTsumOWIRNm7cauyib\nnguA7Tg4OBTmpqW4QjkdCsgiIiIiIyQctcEFrzWGcYCy4r7+466ISWFOGmk+HR89FuglPREREZER\n0hmJ8safXuHhP7yLzzedRVP7+o97TZvCHK0ejxVaQRYREREZIU9UPcdN11/NvuMm5pHXefPVXQC4\ncJF1mrtXSOopIIuIiIiMgKhl8+ILz2F40mDSLDjyGrtDL2DaDn6PS+0VY4gCsoiIiMgI6IqYLDn/\n43hmnAuA99hbLC2/iK6IydRc7V4xliggi4iIiIyA1p4oC887n0v+6lt4HYs7fnQrS5Yuw7BsCnPS\nU12efABqhhERERH5iBzH4UhbmOyAl0NGGucWpvGx85cSjlrkpHnJTVPkGku0giwiIiLyEXVFLMJR\niy7D5GBLD6VTMgDoMSyKctNxuVwf+tmhUIjNmzcTCoVGqlw5hVP+deb222/nL//yL8nLy0tGPSIi\nIiJjTlvYwONy8ceadgBKp/a1VNhApv/Dv5wXCoVYsWIFhmHg9/upqqqivLx8JEqWYZxyBbmhoYHz\nzz+ftWvXsmPHDhzHSUZdIiIiImNGXcfJ46Uz/R7m5Z/Y89gh/SPsXhEMBjEMA8uyMAyDYDA4IvXK\n8E4ZkH/wgx9QXV3NF7/4RR544AHmzp3Ld7/7Xd55551k1CciIiIyqry/5SEctTjeEyXD72HX0TZK\nC3PwuF19i4qOizTvh+9oraiowO/34/F48Pv9VFRUjNC3kOGcVse4y+Vi6tSpTJ06Fa/XS2trK1df\nfTUrV67ktttuS3SNIiIiIqNCvJaH4rPPxQU0dxscbg2zeuFUACKWTU6aF6/nwwfk8vJyqqqqCAaD\nVFRUqL0iSU4ZkH/605+ydetWJk6cyA033MC//Mu/4PP5sG2buXPnKiCLiIjIuNG/5aG3t5etW7dy\n7bd+QHaah+DbLQCUTc8FeugxLGYVZHzk37O8vFzBOMlOGZCPHz/OL3/5S2bMmDHgutvt5vHHH09Y\nYSIiIiKjTUVFBR6PB8uycByH+++/n7kXf5ZLLrqQ3TXtZPk9zJ+URefxHkzboSDDn+qS5UM45Zr/\nLbfcMigcn3DOOeeMeEEiIiIio1V5eTnXX3997OdoNMrrr7wEwK6aNs4rzn2v/xjcLshJ86WqVPkI\ntA+yiIiIyAeQk5MT+7Vt20wsmEhDZ4Sjbb2UFU8AoNswKcpNx+P+8PsfS+ooIIuIiIicplAoxI9/\n/OPYzy6Xi56OVkLvtgJw/vRcAKKWQ2FuWtxnyOingCwiIiJymoLBILZtx352ezyUlV/E4/sbmJmX\nztyJmQC4XJAd0PHSY5UCsoiIiMhpqqioIBAI4Ha78Xi9fON7tzFj4Xm8WtfBp+ZPwuVyYZg2aT4P\nvo+wvZuklv5qIyIiInKaTuxL/OTTz5BTUsolF13Is2834wDLzurrPw6bFhPSFLHGsqT/1eatt96i\ntLQ09r+cnBx+8pOf8L3vfY+ioqLY9SeeeCJ2z+bNmykpKWH+/Pk8+eSTyS5ZREREJKa8vJzPbfhr\nzitbBsArR9tI87pZOCUbgFd37eTnD2yJnbQnY0/S/3ozf/589uzZA4BlWRQVFXHVVVdx//33841v\nfINvfvObA8bv37+fbdu2sW/fPurq6rjssss4cOAAHs+HP9dcRERE5MOybIfm7khsj+MXqo8x2Wrj\njT27APjO9VdjGlH+49/voKqqSod8jEEpbY6pqqpizpw5Q+6zDPDoo49yzTXXEAgEmDVrFiUlJezc\nuTOJVYqIiIic1GNY2PTtYPH7l/5AXY/D0ecfZeO6K3n8fx7CNKLYtoVhGASDwVSXKx9CShtktm3b\nxrp162I/33777WzdupWysjJ+9KMfkZeXR21tLcuXL4+NKS4upra2Nu7ztmzZwpYtWwA4duwYdXV1\nif0CCdTU1JTqEkY1zU98mpfhaX6GprmJT/MyvPE6P0dbw4Tbe2kLe/nFS3vBOw+nOkSkN8wLzzwF\nrr4Th30+HwsXLhzTeWSkjZU/MykLyIZh8Nhjj7F582YANm7cyM0334zL5eLmm2/mxhtv5L777vtA\nz6ysrKSyshKAsrIyCgsLR7zuZBrr9Sea5ic+zcvwND9D09zEp3kZ3nibn5q2ME2tboqL8vG4XRzP\nnw+HDkNr3+JdY31fGPZ4PPz0pz9l9erVKax2dBoLf2ZS1mLx29/+lo997GNMmTIFgClTpuDxeHC7\n3XzpS1+KtVEUFRVx9OjR2H01NTUUFRWlpGYREREZ3462hclL9+Fxu2juNqjucDgn0DNonG3btLS0\npKBCGQkpC8gPPfTQgPaK+vr62K9/9atfsWjRIgBWr17Ntm3biEQiHDp0iOrqapYtW5b0ekVERGR8\ni1o27WGTgLcvPlVV923vdtH0zEGbB/h8PioqKpJfpIyIlLRYdHd387vf/Y677747du3b3/42e/bs\nweVyMXPmzNhnCxcuZO3atSxYsACv18sdd9yhHSxEREQk6Tp6TfbveYWDe/7A0vKLqDqYRmGGi60/\n/BaWbYPLxbxzFvHJiy9k1apV2r1iDEtJQM7MzBz0zw4/+9nPhhy/adMmNm3alOiyRERERIa045nn\n+O71VxONRvHmTCL6V1tY6qql3oiA4wBw8MAbPPAfdw+7Q5eMfjoDUUREROQUWroNfvfMs0SjUWzL\nIjr3Ihxg9XkzcbtPxinbtrW12xlAAVlERERkGJbt8F+PP01bYx0ejxd3WibO+WuY4++m4bWXuPaG\nv8bj9eJ2uwkEAuo9PgPooHARERGRYTz9++e5cf1VmIaBy+1m3uf/mrcCmRzZ9g/8+9HX8fn8/PXf\nbybT7mFm0VSCwSALFy7UFm9jmAKyiIiIyDDuvf8BTMMAwLFt3opmk2l10XP0dRzLwsSgvb2VK674\nDJ9d9WkMw8Dn8/HMM8+MyIt6oVCIYDBIRUWFXvxLEgVkERERkSFETItuwzp5wRuA4kVM6z3KUZ8f\nEwOvz0/pso/z8ovPYxgGltU3PhgMfuRAGwqFWLFiBYZh4Pf7qaqqUkhOAvUgi4iIiAyhqdPgsivW\n4j6xxez5fw7eAB8vSuPfH9rOldes59NXfYGcNC+XXnopfr8fj8czYvsgB4PBWOg2DEMvACaJVpBF\nRERE4nAch4PHe1i2fDlXrVvPIw/9J5z3WXg7RPbZXmAOjz+yjahh8NT2n/NMVRVVVVWxHuSRWOmt\nqKjA7/fHVpD1AmByKCCLiIiIxNHea9JtmEzOCvBna67h0T1HMNOy8e2vYulffZ/doReIGga2bRF9\nb3X3pptuory8nLq6uhGpoby8PBa61YOcPArIIiIiIu9jmDaHjvfg9/R1oy5Zuoy5a79OTVsv/3rb\n/8eSpcsA8Pl9mFESurpbXl6uYJxkCsgiIiIi71PX0cuR1h6KctJ4bfdOnn1pJ29Y5/Ll5XMpLTt5\nSt4nV69lWk4aN1y/QSH2DKKALCIiIvI+9R29TMzw8/ofX2HjuiuJXFIJC2xKrGPADF7bvZON664k\nahgEAn5uuH5DqkuWEaRdLERERET6iVo27b1R0nwedodewMifAQtX4Nr1Kw7/6UWAAf3H2l3izKOA\nLCIiItJPV8QExwXA0vKLcJ33WYh049vzGEvLL4pd9/p9eDwe7S5xBlKLhYiIiMh7opbNgaZuvO8t\nIZ5TWkZgQYQZdhPf3rot9nLegtIybnvgETrf3sOKT16q/uMzjAKyiIiIyHtae6K09BhMyQoA8PK7\nrYQt+NLnLmHJnILYuPZek8s/eTFzv3B5qkqVBFKLhYiIiMh76jp6yfB6Yj8//Go9EzP9XDgzb8A4\ny3GYkh1IdnmSJArIIiIiIvSdnNfcbZDh7wvIh4/3EHq3lTWLp+L1nIxM3YZJXrqP7ID+If5MpYAs\nIiIiAoSjFqbt4HH3vaD3P6/V43W7uGrxtAHjug2LkomZuFyuVJQpSaCALCIiIgIcaumJBaNuw+TX\n+xtYOW8iEzP9sTG9pkWaz0Nehj/+Q+SMoIAsIiIi455h2hxpC5Of4QPg1/sb6DYs1p5bOGBcR6/J\noqnZsVVmOTMpIIuIiMi41xaOAi5cLhdt4Sh3h47wsaJcFk3Njo2JWjZpXg8FWj0+4ykgi4iIyLjX\n2BUhzdu3KvybNxrpjJh8s2L2gD7jbsOiMDcNt1aPz3gKyCIiIjKuOY5DQ2eEDH/frhQ73mxk4ZRs\n5k3KGjDOsOwB/chy5lJAFhERkXGt27AwLBuv20Vzt8EbjV1cMid/wJgTL+dNSPelqEpJJgVkERER\nGddaewzc77VSPPFGIwAXzhwYkPVy3viigCwiIiLjVo9h8kZDF9kBL6Zls3X3Ucpn5DF/8sn2CtN2\n8Hvcaq8YRxSQRUREZNxqC0exHQh43eyqaactbLJmycCDQXqjFhMz/ToYZBxRQBYREZFxq7nbIM3b\nF4eerm4m0++hfEbegDFh02JSllaPxxMFZBERERmXwlGL2vZeMvweTMvm2bebuXh2PgHvyXhkOw4u\nXEzMDKSwUkk2BWQREREZlxo6I7hdLjxuF7tq2mnvNVkxd9KAMe3hKNPz0vB7FZnGE/3XFhERkXGp\nvqOXLL8HgCfebIzbXhG1HYpz01NRnqSQArKIiIiMO0daezjeEyXN5+Hd1h52vNnI6oVTBrRX9BgW\neek+ctK09/F4o4AsIiIi44ptO7zd3ENBRl/wfXx/Iy5gQ9n0AeM6DZPZBZkpqFBSTQFZRERExpUu\nw8SwbHyevhj0uwNNLDsrj4J++xy3haNMyvQPuCbjhwKyiIiIjCudvSYndjSuaQ9T097LhTNP9h47\njkPEslmok/PGLQVkERERGTcipsW7beHY3sfBt1sAuKDfy3nhqM2kTD8Zfi8AoVCIzZs3EwqFkl+w\npERKAvLMmTNZvHgxpaWllJWVAXD8+HFWrlzJ3LlzWblyJa2trbHxmzdvpqSkhPnz5/Pkk0+momQR\nERE5A7zT3E1nb5Ss946W/tnuGsqKc5mVnxEb021YTMtOA/rC8YoVK7j55ptZsWKFQvI4kbIV5Gef\nfZY9e/awa9cuAG699VZWrFhBdXU1K1as4NZbbwVg//79bNu2jX379rFjxw6++tWvYllWqsoWERGR\nMao7YvJuay/5GX19xTuPttHSE2XdeUWxMZbt4HbB5Oy+g0GCwSCGYWBZFoZhEAwGU1G6JNmoabF4\n9NFHue666wC47rrr2L59e+z6NddcQyAQYNasWZSUlLBz585UlioiIiJjUFO3gdsFbldfX/HvDjST\n9b69jzsjJsX9DgapqKjA7/fj8Xjw+/1UVFSkonRJMm8qflOXy8Vll12Gx+Phy1/+MpWVlTQ0NDBt\n2jQApk6dSkNDAwC1tbUsX748dm9xcTG1tbVxn7tlyxa2bNkCwLFjx6irq0vwN0mcpqamVJcwqml+\n4tO8DE/zMzTNTXyal+GNtfl5p6ETM2rTFnZjWDbPVDdx4fQsetqa6AFw4Hg4SpE3m7q6LgBmzJjB\ntm3bCIVClJeXM2PGjNPKF2NtbpJlrMxLSgLyCy+8QFFREY2NjaxcuZKzzz57wOculwuX64O/NVpZ\nWUllZSUAZWVlFBYWjki9qTLW6080zU98mpfhaX6GprmJT/MyvLEwP6Zls+9YJ70BD5ML/LhdLp47\n2EJ31ObPFk9nwsR8ANp7o5RM9jG/KHdADlm9ejWrV6/+wL/vWJibVBgL85KSFouior5en8mTJ3PV\nVVexc+dOpkyZQn19PQD19fVMnjw5Nvbo0aOxe2tqamL3i4iIiJxKc7dBTXuYLL8n1l7x2zcayQl4\nSW+u5v5/+zGv7d5JxLSZPiH9Qy3SyZkl6QG5u7ubzs7O2K+feuopFi1axOrVq3nwwQcBePDBB7ni\niiuAvr+1bdu2jUgkwqFDh6iurmbZsmXJLltERETGoOauCHtqO8gOeMkK9P3D+d76Dn5X3cxCdxMb\n1/4Zd9z2A778hdW8sWeXjpUWIAUtFg0NDVx11VUAmKbJX/zFX/CZz3yG888/n7Vr13LvvfcyY8YM\nHn74YQAWLlzI2rVrWbBgAV6vlzvuuAOPx5PsskVERGQMquvoxeOGTP/JyLNtTx3pHgj9/xvhvZ2x\nokaER++/k/KZ+QSDQSoqKigvL09V2ZJiSQ/Is2fP5tVXXx10vaCggKqqqrj3bNq0iU2bNiW6NBER\nETmDmJbNsU6DCf1WhXujFs++3UJR50EORnoGjH/ud09w4dO/xXEcAoEAzz77rELyODVqtnkTERER\nGSkR06KhM4JlOwOOi375SBsRy6YoEn8nCsdx+u6PRLjtttuSUquMPgrIIiIicsZ5+d1W/ljbTm7a\nyX8sN22Hu0PvUpDh43999pP4/IFhn/HrX/9aJ+eNUynZ5k1EREQkUd493kO3YTE504/Xc3It8Ldv\nNFLd3M2tf3Y2H5s7ibt//hi7Qy/gycjhwCvPseM3vx7wHMdxCAaDarMYh7SCLCIiImcEx3GoaQ2z\n91gn+em+AeEY4OFX65g7MZMVJRMBWLJ0GX/1N3/HZ9b+Lx755S+5++67Oeecc3C73bjdbgKBgE7O\nG6e0giwiIiJjmmU7dPRGOdoW5mBLD9OyA4PC8cGWbt5o7OIbF88esM9xj2GRl+7j1d2v0NLSwr33\n3gugnSzGOQVkERERGbNs26G+I8wfjrST5nVTlJsWOwzkBMdx+NnuWvweF6vOnjTgsy7DxK59gzWf\n/QyGYeD3+3n22We56aabkvk1ZJRRi4WIiIiMSVHL5vfvNPN2cw8T0ryked2DwjHA9r3H+PX+Bq5e\nUkh+hj923TBt0rweHvufvgPJHMchEomwdetWtmzZwqc//Wm2bNmSzK8ko4RWkEVERGRMagtH6TIs\nug2LOQUZccNxxLS546XDfKwol69fPGvAZx0RkwVTsgbdt3//fu666y4AnnrqKQAqKysT9C1kNNIK\nsoiIiIwptW1hXn73OAdbusn2e5k7MTNuOAZ4fH8DbWGTGy6YPmCM7TjYjkNehp/169fj9/txuVz4\n/X56e3sHPOORRx5J6PeR0UcryCIiIjJmGKbNm41dOI6Dy+ViQrpvyLEvv9vKPz/7NvMnZVI2fcKA\nz55/8SXefW0nuZ/7NB//+McJBoOxF/Nef/11du7cGRu7Zs2ahH0fGZ0UkEVERGRU6zFM3m0N43a5\nOHy873joiZn+Ye8xLZt/qqpmZn4GWz6/ZMDq8Z9e+QPfvf5qzGiUe376L1RVVVFeXh7bseLE/z/y\nyCOsWbNG7RXjkAKyiIhICoRCoTG9lVgoFOKxxx5j9erVCa3/jYZOatt76TEsvG4XBRm+AUdHx2M7\nDvfuPEpdR4R/Xb2ATP/AuBN68Xmi0Si2ZWEYRtzDQCorKxWMxzEFZBERkSQLhUKsWLGCSCSC2+3m\njjvuGFNhbMuW/8fefYfHVV0LH/6dNkUadcmSLXdsjOUKNgaDAYMJEAyEXgJxSEJNSPhSbhLC5Ybc\nS0JI4BIIJcBNANNbaCF0MGBbtkAucu9VvU2fOf37Y6SxZMm25CIX9vskD9acMzN7jmY066yz9tqP\nc8stt2DbNg888EA6A7s/OI5LwrRpjhmYjsu6phgFGRp5uyml6Mh1XX77/hreXd3ISUPzmDYsv8s+\nYyZPxePxYLa1dROLgQg7EwGyIAiCIPSxOXPmoOs6juPgOA633HIL48aNOywyyY8//jg333wzjuMA\noOv6flmO2XFc6iM6KxsieBSZcNJClSWKA17UPWSM27muyytVtby7upGrjyvlhycN7bQoCKRKLxRZ\nYtZ3ZiHLErNmzTosjrvQt0SALAiCIAh9bPr06ciynA4ybdveL0HmgVZeXs6PfvSj9LgBFEXZ6wys\nYTmYtkNTzGB7MElYN5EliWjSYGCuv9eP96c5G3hlaS2Dc/3ccvJQNKVrs67y8nJu+/5lmGYqezxr\n1qy9GrtwZBNt3gRBEAShj02dOpWHH34YTdOQZRlVVdm6dSvl5eUHe2i7NWfOHGzbTv8syzIPPfRQ\nrwN7y04F2KvqI8zf3Mqy2jAh3cSjSBRmeuif7evV45m2wytLa3hlaS2Xju/P7KsmdhscO67L0or5\nmP91Q84AACAASURBVKaB3aH+WBB2JgJkQRAEQTgIbrjhBj777DNuuOEGJEniiSeeYMaMGYd0kFxQ\nUIDruumfb7rppl7XTruuy7zNLVTVhKiP6igylGR5KQ54yfWnOlPsaRJeR1Hd4rsvLOGeTzcwqiiT\nn546nIC3+wvkwYTJ0NISZFlGlmVRfyzskgiQBUEQBOEgmTp1KoMGDcKyLGzbJplM8sTfnyRh2nu+\n80HQ3NyMLKdCB1mWyc7O7tX9Y7pFVU2YqG6xPZTEcV1yfFqXOuGeKt/cyhXPLmJtU4z/d8ow/nbJ\neLzqrkObZYu+5J7/+hWWZQHw4x//+JAvaxEODhEgC4IgCMJBkjBtckcei9QWdLquyzNPP8Xstz5i\nbUOUlrhxkEfY2fTp0/F6vSiKgtfrJTcvj7vvvnuPWW/TdmiM6lRuD1IbTpLt1cj1aeT7d9/LeFdc\n12V5bZifvrUCy3a44cTBXDNpIFm+XU+tSpo2K78qJ5lM4roujuNw//33H9IZe+HgEZP0BEEQBOEg\n2dgUI27Ynep6LcvkqUcfoGTUeEY6AfIz9i6IPBCWLVvGmLHj8OcWMmDIcG6//XZcx0HzeHnpzX9z\n7oxTUWUJ1wVJgoie6kTx5bYgUd3Gsp29mnzXUUvc4Ef/XM66phhFmR5euOa43a6mB6kAPaxbZJLs\nVCJyuEyOFPqeCJAFQRAE4SDQLZttoQT/euZR3A5dIQC+nPMB1auWkHfclIM0uq7+9JeH+dVPb0n/\n3LELh2Ho/PPfH+AZNJosr0rCdMjL0KiP6OT6VRKmTUmWd5+e33VdHpm/hSe/3IYqS3xn0kAuGV+y\nx+DYdV1aEib61pU88uADnbbtSwcO4cgmAmRBEARB6GNzvpjLQ4/9g7VrVrHsqwVdtruuy8qvyhk2\nbhJR3drlpLO+YFgOTTGdV157tdPtHVu9ScBXc96ntKSImZfPItOjUB/RydBkWuImxYHeB8dVlRXM\nfvRBGhrqGXrBTTTlHU3FtiDj+2dxwZgSLhxb0qPHaY6bNKyr4vmH7t0vHTiErwcRIAuCIAhCHyov\nL+fsM2dgGN3XF8uyjObxMmnqNFQJltWGGV2ctcdM6YFQE0qwrjFGY8wgO7eg0zZV09IBp+M4rFy6\niJVLFyEhcfHV16Yzxtm+3o+7qrKC6y6biTPmGzD5RlZG+0E0yIVjS7h9xogeT+pzXZcVi7/ktmsv\n7nS8FUXhkUceOaxWLxT6lpikJwiCIAh9aM6cOZim2e22WTfdykVXfZepp53BO6+9yPZVSzBth4Vb\nWokbVp+OU7dstrQmCCct3vrbPXzyr9fS27554eU8/vK/+N4Pb6Vs/LGd7vfJu2/t0/OGkiYPzt2C\nc9ndMONmyCmG5R8iPTaL83NbetXxojVhsvDd17qcjMiyzLhx4/ZpnMKRTWSQBUEQBKEPjZ08FUXT\nsNqCNllRGD1uIt+64hpGHFPG9ZfNxG5rQ/bWy8/z2EtvUTp6IjWhJCOKAn0yxuaYwaaWOPPLyyl/\n5zX++fxTnba3tjQyftIUBg8ZgmU5rFhSmd52xjcv2KvnbIkb/O6Dtczb3AqUQP8SqHwDPnsScEGS\nWbRgHhMmn9Cjx5s3bx5fLphHPNTcZZtlWWJynrBbIkAWBEEQhD7iui6BYWN5+Pm3+OD1l0CCmZdc\nyfhJqcl4d9/2s3RwDGCaBu+8+iL9BnzB8IkncM7ppzKmJGuv+wb3REy3WLCllWWLKrjz+ivQk4ku\n+7QHwSuXLualpx4HSUKSJL5zw4+5+Opre/V8axuj/PGTDSyvC6PIEuNKsrhswgAKwpv4v7mrWUyq\n64QkS+Tk5ffoMefPn88vv3cphm4gSSBJUqfuFWKBEGFPRIAsCIIgCH0kYdrolsOkKScwaUo3mdCd\n4l5ZknjrleexbQtN8yD/4xUGX3TWXtX17k55eTmzZ88mblicfO6lDBt7LFurvkTXk52HJ0l858af\npIPgJZUVmKYBroskSaxdWUVVZUU64N+VqsoKPpu/kPLMY1kbdvGqMkdlSWQsfRvrw0qS9jWccPW1\n+G/7Lddfdh62ZeLYNn/8z18AdArCqyorqCyfy6Sp0xh33PE0xgw+eesV9GRq7O1xsSzLTJs2jbKy\nMmbNmiWyx8JuiQBZEARBEPpI0nK6vd11XRpjBudefAVvvfw8pqEjSRITJp/I0sqFOLaNhcGKL+ez\n5bRpHN0vgFdV9suYysvLmT59erpO97nZT3HBFdcweuyELpnXsgnH8pPf3Jn+OScnF1mScCUJx3FY\n8MUcKhfM47GX3t5lkDy3fCE/e+w1nJHTIJkgq3UT07KjfPC/d6ez5yuWVPLuG69g6Dq2vSOj7tg2\n9/znLxhxTBnjJ03hn889xZ/u+A8s20aWZU6cfhYzzjqbf7/6fJfndV2Xc845h9tuu20/HDXhSCcC\nZEEQBEHoAwnTZn1TDIkdAafruiyuDvN/FVup2Bok06Nw3H88wVf33YxjJFi+5CsURUUCVM3Dyaec\nyvZQkpa4yalHFeyXUovZs2d3msRmWxavP/cUb6kqZeOP7VRf/K0rvpP+d1VlBY/ceze24+x4Ra6L\naRj89e7f8cSr76T3qyyfy4QTTmajdzD3lUdxJp4PsSC8/UcimxfxbjfjWrxwfrfjtW2bP/7mF0Qi\nQWq3b0vf7tg28z9+l/kfd/doqWNdUFDQ7TZB2JkIkAVBEAShD6yuj7C1NUFeh3ZtD8/bzFNfbUeR\n4LThBXy+sZmF5MLJs+DjR3Fsm1NmnEMyGeeMb16QnqDWENHZ3BKnJNuHX9v7THJ5eTlPPPFEt9ts\ny0oHx5Isd6kvriyfi2kauI6TyjR3uO/iivk8+Ic7mX72udx09SWY/cuQ1ss4Qw2QPfDu/bDq0x6P\nM6+gkNbmpvTPa1ct69XrhFSJRXNz1wl7gtAdESALgiAIwgFm2Q71EYNBuX5UOZX1Xd8U45lF1Zww\nOJdfTD+KYfkZOK7Lr16ez6d8E7IKcT/4C198/B6O67K4YkG6tCAvQ2N1Q5SGqM7kQXko8t5lkmfP\nnt1p8YxdkYBAVjbBhMnyugjrm2IwcirS1KuQa1YhSRL2psWgecHUwZfFM889y0J3IMb3/w4ePy5Q\nuGUuzW/ej2t13+auO5rHy82/uJ27b/95lxUHe0qSJLxer5iYJ/SYCJAFQRAE4QAL66k62vbgeM78\nhdxeEcejqNxx5khKsn1AalLeHy6dyj1vLuANdzLOSd+Bjx4BQE8muO/O3/DzO//A+ElT6Bfw0hjT\n+WxDE5MH5ZLlVXFdkHsYLFu2QzDe/WIlO5M0L1/ln8Ajj+206t8JV6T/qbg2trQjm+0Ca9p/qHgV\ntlbRtHVJj56v3bFTTuLHt/2W8ZOmMH/OR8x5/51e3R9Si4Jcf/31YmKe0CsiQBYEQRCEA6w5ZqC0\nLc1VVVnBL59+D2fEyWgv/JKGkx6mpMOENk2RuWCIyptvv4077mxYMxe2VQGwYmkl1116Lr++614u\nvvpaijK9hJImC7YEKc3xEU6a5Pk1Ah6VHL+GYTtEkiaSJDE4z8/axhi5PpW8DA9Rw2LiNy7ktRef\nxTQMZEVhxKgy1q7cqXzhnJ9il51ORaPDN44upDDDw+kjCqkJJ+mnJPmyyUW3HKpqw8S3r2VjQoPq\nVZCRzcwinXefewwn3NjjY/XNCy+ntaWRM755Qbqkw3VdZt30Ez7/6D2cnTLeO08kbL8NUsHxww8/\nLFbME3pNBMiCIAiCcIDVhnUCntRX7rz55TgjT4YVn+A0bKKyfG6Xjg+V5XNxv/wnDJ8CF90Bz/4U\nWrYDXTs5ZHtV4qbNltY4juvSGDXQlFRNsOu6KJKE7UJ1KEkwkSptkCTI0BR8qswFl12d7scMcPNV\nF2IaOm52P3Iu/y3BQCknD83j/DHFnDmyKD3G48gh2FTPlFHFHUY+MdVZ4sn7sR2H92S5S0DbTpZl\nLvr2dxk1ZjzzP/2IxoY6vnXFNd32Ua4OJ8kfMY6f/+7P/O+dv8R1HDxeLw/85S8sXryYv//97+nV\nCb1eLw8++CDNzc1Mnz5dZI2FvSICZEEQBEE4gFriBlHdpDjLR1VlBRVBDbK8yMvfR9U8TJo6rct9\nJk2dhvfBezFe+AXudx9GOvEK3H/fl95u23a6U4QkSWR6VDI9Xb/Sk5YNLvg0hahukevX8Cip7OoL\ns5/kwd/9Cttx8Hi86QVLHn3hDSrmz+NNz/G0GBIXje7HbTNGIPewY0aotQXHdXHbulsostylzllR\nVX71P39OB8O7W1zEcV1UWSbgUTh+5hW8MnkiqyrLOf3009PB76xZs5g9e3b63yIoFvaV3NdPuG3b\nNk4//XTKysoYM2YMDzzwAAB33nknpaWlTJw4kYkTJ/Lvf/87fZ+7776bESNGMGrUKN5///2+HrIg\nCIIg7BXXdVndECXgVamqrOCmG29kmXcEbKvi1ImjefSFN7rtF9weqP7whz/izGHZSMecStYxJ3ba\nZ3HFfP753FO7fX6fquBr63IR8Kp4VRlJkli26Ese+N2vsCwL13EwDZ3K8rkA9Dt6AiuGnEVtwuXu\nmcdw+5kjexwcQyq41zQPsiyDJDF+8gkcXTZuR9nDTsFxd0zbYUNzjKhuURvWUWWJk4blc+KQXM47\n8zR+85vfdAqCp06dyqOPPsqjjz4qgmNhv+jzAFlVVe677z5WrlzJggULePjhh1m5ciUAP/3pT1my\nZAlLlizh3HPPBWDlypW8+OKLrFixgvfee48f/vCHPZpxKwiCIAgHWzhpEUqYZHpUKsvnYow/F2QF\n3v1f5n68+4TP+ElTmDR1Gr4lb+EE64mc/R/Qf1SnfT559629Gldl+dxO36WyLDNp6jSSls3Nr1Xx\nxcYWvjNpIKcO733f4PGTpvDz3/4BSJWDLF44n7Url6XrhF3HIdTassv710d1muMm/QJekpbDuP7Z\njCjMRFNkBuVloCl9HroIX0N9XmLRv39/+vfvD0BWVhajR4+murp6l/u/+eabXHnllXi9XoYNG8aI\nESOoqKgQZ4iCIAjCIa85ZqC0ZU6D4QiMOhXWfAHRFmxJ7rb+uF1VZQU3X3Uhhp4EbwCu+QuccRM8\n99P0Pj5/Ro+Wdt5ZTl7+jjWYgW9f9yOOnjCJ33+0nm3BJA9dNJYTh+TtxStOWbO8CmcXLdnag/GO\n4oZNzLAxHYd+AS+j+gUwbQfHcSlu6/AhCH3poJ6Gbd68mcWLF3PCCanG53/9618ZP3483//+92lt\nbQWgurqaQYMGpe8zcODA3QbUgiAIgnAoMCyHTS1xsn2p8orn3/8cvBmwLrVCnKJ0DRQ7Si/E4bqQ\njMCCF6D4KEb85FGGjhyFLMt89uG73HzVhVRVVvRqbKHWFiQ5FQLIskxWdjZ3vLuGd1c3cH5Z8T4F\nx0CqcfLON0kSiqryy//5czqgDyZN6qNJYoZNWXGAk4flM3lQLrl+jaKAVwTHwkFz0CbpRaNRLrnk\nEv7yl7+QnZ3NzTffzB133IEkSdxxxx38/Oc/5x//+EevHvPxxx/n8ccfB6Curo6ampoDMfQ+0djY\n85Y4X0fi+HRPHJfdE8dn18Sx6d6+HJeNTTFCUQP8Kq89+w/c4y+DRBi2LkWSJH78qzsYPGQIwaZ6\nABwH5A5pq1Gjy9BUDRNQZIVvjCqiKdekIliKVDARd12qy7ChJ5n78XsMHjKkx2MbNboMj+bBtEw0\nVcMZOI5PNzTz/YmFfHtsTnpMexINdl8qcdqMs3jr5efS7eMuu+Z7ZGZlMXHSFMomHMv26moUSSJp\nOQzK9ZPlU1GTFskkJHv8Kg5t4jPVvcPluByUANk0TS655BKuvvpqLr74YgCKi3e0ibn++us577zz\nACgtLWXbth1rrW/fvp3S0tJuH/eGG25I9zqcPHkyAwYMOFAvoU8c7uM/0MTx6Z44Lrsnjs+uiWPT\nvb05LoblUBVu5KvPn+fTd9+mRcuDCWPgk8fAMjjtrJlcfeNPgNREPheoi+j4VJlMT2oy3UkzzuHR\nF9+ksnwuk6ZOS2ddL3vgLTZNuhAaNsKmSlzXoaR0MLmFxZ3G8M/nnuKTd9/q1E+4XcfHrh94Io9u\nthmS5+cH00bhVXt3cXnn521//MdeervL2CFVdpKfk+qqUZbvp6w4u1fPdzgRn6nuHQ7Hpc8DZNd1\n+cEPfsDo0aP52c9+lr69trY2XZv8+uuvM3bsWAAuuOACvv3tb/Ozn/2Mmpoa1q1bx5Qpvau1EgRB\nEIS+FEyYvPvSMzx453+kbph+HVgmrP4MzeNh1s0/Se9bHU5i2C7FAQ+65RLRLUxbJuBVGT9pSpf6\n4uuO68ftn9XDhXfA8o/gg7/yybtvMeKYMiBVmrFx7RrefeNlABZ8/inbt2zmJ7+5E0jVNr/z6osg\nwahvXM7DS01OHJzLr2eM6HVwvCtVlRWdgmPXdbEdl1DSojjby+h+WYSSJpkeZc8PJggHQZ8HyPPm\nzeOZZ55h3LhxTJw4EYA//OEPvPDCCyxZsgRJkhg6dCiPPfYYAGPGjOHyyy+nrKwMVVV5+OGHURTx\ngRIEQRAOTTHdYmlNiPKP29qVygoccypsrEA2E/zHXfemg97mmEFJlo+oYTGqKEBhwEtUt/hiUwth\n3aJfpgd1p64NZ59yIsEtT3PvB1/gHvctGHsmCz54kK+++21IxrAtA3enCXLPPv5Xpp+d6g51/WUz\nsS0rNabCJAGPwp/PL8Ov7fm71bIdIrpFlk8DIKpbZNoO9RGDATleZEli8ZcLueXqizBNA03TuOvv\nrzB64mTaC5NHFQXwqDJFAe++HGZBOKD6PECeNm1alyUhgXRbt+7cfvvt3H777QdyWIIgCIKwz0w7\nteSyLEl849wL+PKLT2HIRMjIhVVzcGybNStSy0YnTRufpjBpYA4J0yHgVZAkiRy/RllxAAlYWR+l\nOOBJ9xBud8U13+XoYxbyX6/Op1YtgrN+gtW+sXETbFuWKmq2TTCTOHXreGPeUsJN9dj5Q0Dzwlm3\nQt1aTvDW4tdO2eNrCyYMmmImQ/L8RHULCcjyqWxpTdA/20dDVMey4bPPP8M0DBzHxgSql3/FeTOm\nk+tXsRw33ZdZEA5lYiU9QRAEQdhPGqM6rQmT4oCXi6++lvlzPmKONjY1OW9TZWqnthxRxLAYV5KN\nqshk7ZQlHl6QCUBD1CBpOd1md4+dfAK/lyRuuvZqzPEzkTQvzugzIG8AFA3rsv9bDpB/DFxzWuoG\n24S37yH3om/t9jW5bqrsw3HhmH4BRhdnobWtxldTY1CqZdM/24dHkWmK6URmnMErj92PaYLX4+Hy\n88/mmOJAL46iIBx8IkAWBEEQhP3AcVw2tybI6rDk84lX3cKcKhMWvgyOhaJqzLz0SpKmjUdRKAx4\ndvuY/QJevtwWpDTHi0/tPvN60gkn0NiwnG9dcQ2lI3KZ/dc/sXBTIwTroN9wcjM8KEOPo2X7Btys\nQpBVyCmGqvdRjQgzL7lyl89v2Q5h3SLgVRldnEWuX+u0XZIkRvXLSv88MDeDa84/k2Effcync+Yw\n44zTxboFwmFJBMiCIAiCsI9sx2VJdYhw0qIoc0fQuyCWTUBt5syhXpRh32PmJVcyftIUGmM6E/pn\n491F0NtuQI6Xk9U8llaH8QTkTks+V1VWcOMV52MaBgCrli3h13fdy40//RVLrroQ09BxNjQSBFj2\nRafHlSSJ0846l1n/+69dLjJi2Q4NMYMcn8rE0pwe1Si3O/nkkzj55JN6vL8gHGpEgCwIgiAI+8B1\nXdY1xmiM6dSuXsq/2ro3xC2XzzckOatU4z9vuTe9f3PMQEIiL2P32WMAr6pQmuMnlDSpCSY73Se1\nkIiZ/tmxbe75z19wypnnMPW0M2isr2PF0kWdVszbQWLMhON2GRzbjktrwqKsOMDwgswuNdCCcKQT\nAbIgCIIg7KWoblG5PUhUt6hbs5QffTvVvUFRFJyjT8E561Y+fvA2Lh++Y/U4G5g8MKdXk9X6Z/nY\n0pLodNvOy0UD2LbNnPffAUBRNRRFxbZMdra7VfyiukUwaVIc8DE4L0MEx8LX0kFdaloQBEEQDleu\n67ItmMCwHEqyfCxeMA/TNHBsG9OVsKdcDsFa7O0rqSyfC4DluHhkicLMPWePO8rxaRRmemiMGenb\nOi4X3R3HtrjwimsYM2FSp9tlWe603HNHlu0QN22OHZDDiUPz0BQRJghfT+KdLwiCIAi9sLYhSmNU\nZ97mVtY2RMn2pi7GTpo6DU3zIMsy0oRzIbc/fJjq3d+erU0YNoWZXdu27YksS0wamEtRpoe6iI7j\nukyaOg2Px4uiKGgeD9PPnomi7phEp2oeZl56JT+/8w94fX5kWUZRVX79+/u6rKzXLpi0GFGYyeD8\njL07OIJwhBAlFoIgCILQQ5btsL45htsEPk1mYK4/vW38pClcce0NPPP4X3HHn5PqRbx9GWg7glbd\ndijaQ+eKXZFliWP6BZCkVPu38ZOm8OgLb6RXrAMoKOxHc1MDBUX90hMCgU77dZc5dlyXmG7j4jKo\nw2sShK8rESALgiAIQg/UhpLURXUkoDir6ypwVZUVPPd/D+P2H53KHi94CVwXx7apLJ/LmGOPx3FT\n5RJ7K9OrMnFADnM3tRA37PRS1FWVFdx81YVtq9d5ePSFNzoFwt0tWd1RU9wg4FEZV5QtFvIQBESJ\nhSAIgtADccPa805HsEjSYklNiIaITqan+wDynddexEaGk69JLQyydh6SJKFqHiZNnUZTzKCsOECm\nd99yU7IsMX5ANlHDQrdSS0qnOlqk6p8t00jXPO+JaTuEkiZZHpWThuZTKrLHggCIAFkQBEHYBdtx\nSZg2LXGDeZtaCSdNovrXK1B2XZe4YbG4OkiGplCY6SHT0zXAraqs4K2Xn4PTfgADx8AXT4OlI0kS\nP//tHyibOBmfKjM4b/8EoLl+jYkDckiYNnWRJEcfdwKKklqqWu5Q87wnjTED24Fx/bNRZNGtQhDa\niRILQRAEoVuLtwdpiBpoikzctFhcHcJxXKaPKPzatP7aHkyyNNSMLEudFgDZWWX5XMyMAhh/Nix6\nC5Z/mN4Wam0hZtqUZHv363Hrn+MjP1OjMaqzvqrz48YNGwDDcjAdB9cFRZaIGBYBTcVxXTRFJuBR\nOXFoXq8WARGErwORQRaOOK7rYtnOwR6GIBzWmmMGDVGDwkwPmizRP8sHLiQth6T19fh8NUV1tgYT\nFGZ6dhscA3hyCuHsW1N9ib96HVmWkWUZzeNl0tRp6JZDSbZvv4/RqyoMzM1g67IKbNvGba95XjiP\nqG7RkjCI6BaO62LaLkcVZNIcN0haDrURnSF5fhEcC0I3RAZZOGKEEiZLakL4VIW4YTEoz8/w/Exk\ncdlQEHqlNpRkcU2IHL+KIktk+VJfFQGvSsKyWV4bZmJpzhHbI9dxXOojSZbUhMnyqnssPXBdl1da\n8qE4Az59HDneykVXfZeS0oFMmjqNwWUTyfJq5Pn3fnLenlwy8ywevf9PGIaBx+PhrDNOx3Rcjh2Q\ng1dTyPVrWI6DJsvYjktBhobjQl7GgRuTIBzORIAsHBGiusWi6hCKBJGkiVdVWNsQQ0ZieGHmwR6e\nIBw2kqZNVW2IfL/WbQBcmOGhKWayrilKWXH2QRjhgbepJcaq+igFGR7iyd0Hx5bt8OLSGra7Oajl\nT+Iu/wDV42XmpTtarDXGDEYXZx3QspSTTjqJjz/+mDlz5jB9+nSOn3ICLnT6HSpyKlM8ujjrgI1D\nEI4UIkAWDnum7VCxNQi4ZHo12q+EelSZlQ1RbNdlZFHgoI5REA4HSdNmXWMUB3aZHZYkicJMjS0t\nSYblZx5Rl+eTps26phhbWxP0C3hRZIn4bvbXLYebX1tGVW2YPLOFcfkWRVfN6tR/2HVdJNxddr7Y\nn6ZOncrUqVMP+PMIwteBCJCFw5rjuKxrjGHZDgU71QiqskRxwMOG5hiDcv2it+d+0F7bHTVscnzq\n12ai1tfFtmCCdc1xcvbQhkySJCTJpTVu4M85ctqCLasNE0yY9At4kPfw3l5WG+Z/PlrHxuY48vxn\naa18m8/NBJrHy8xLrkzv15ow6RfwilIvQTjMHJkFZMLXxrqmGJtb4+Tvoo5OliQkJNY0REmadh+P\n7sgS0y3mbGhm3uYW5qxvoiFq0BTVcV33YA9N2E+2h5IUZ3rI7UGtbIamsKw2QjBh9sHIDhzHcWmJ\nGyypDtEQNcjP2HNwXB1K8qN/LqcxajBOqsdd+AqYCYBOPYh1K9U9Ymz/I7MURRCOZCKDLBy2DMth\nS0ucwgzPbjOZuX6Nza1xTNth8uC8PhzhkSFh2mwLJtjSEkeTZSzbJcenUlUTJmpYjCvJoiVhMqoo\nQM4BnIQkHFiG5ZA0HbJ7uAxypkdFwmZZbZhThhcc4NH1XrxtEY28jO5fT9K00S2Hjc0x6iI6miyR\n69/9V6LtuPzxk/W8vryOgEfhuW8fS9N6hRv/qmEaBkB6URDXdWmM6pSVZB2xkxkF4UgmAmThsGQ5\nLpuaY7iwxxnmqiwxMMdPY1THsBw8qviy6o2aUIKVdRH6Z3lR277oXdclqtv0z/KyrimGIkksr4sw\ncUA2siwdtLpUy3ZoTZjYjkvUsDiqIFOUgfSA66YWBOntocrwKDREDZKmfdBLmFzXRZIkggmTppjB\npuYYuuWSl6HiUxVaEyb5fg0Hl5IsH5tb4gSTJhISJd0sG72zpGnz4NxNvL68jpOH5nHDiUMYkONj\nwKQpPPbS27zz6osgka4/Tpg2Jdk+Mf9BEA5TIkAWDkvrGqIkfSqFe+hN2pGLRNSwyFd7fp+vu2DC\nZG1jjJIOwTGkalDbW3/1C6SCi6aYQeX2EJJEn2cU25dBDiVMFlWHsBxQZAgmUrePKcmiIaKDLcpB\nurOiLsLahij5e9HxRcIlnLQOeoC8pDqE7UI4aRE1LLI9KpoHYrqN7bhkeVXqojqm5dAYNfCpfagB\n4gAAIABJREFUcqq3cw9UVCzkl583E1WzKMuV+Mu3xnQ58Wpv6dY+OS9u2Iwo3P99jwVB6BsiQD7I\nDMuhJW7QHDfxq6nVqgDyD/K4DmXhpElrwmRY0Z6zPh15FImV9VFOGJwrLnn20IamGBma0qPjVZCh\nsTWYwK8pbGuNMzDXf8Cyt67r0hA1yPIqeBSZ5bURWuImHlXGpypkehQUWSKmpy6zV2xtJZK0KJaT\n9DPtI6rzwv7QENXxdOh3DKljvHBrkAVbWvlkfRMzRhbyo5OHoe50xSbTo7K0Jswpw/MPSpAcSVqs\nrI/QFDOQSF0xKt3FghwFfg3TcXv1+//X/KX8Zd4WKDka3r6H1VsqWTbuTQDeefVFmpsamPfpR9i2\nhaZ5ePSFNxhz7PHYrku/HmSmBUE4NIkAuY9ZtoNLapJHzLBoihmEEiYg0f69I8sScTdBZp4pajq7\n0RQ19jiJpju5fo2GmE5TVKf/ITTz3rAcHNfFclwCe+ge0JdW1oepDeuUZPUs4y5JEoNz/WxuTfDV\n9hAeRab4AKwcBhDRLRZtD7ZNwgTDccj3e3BdF5+24xgGvCoBL7TGU++Z7cEk4c0tnDq8QJwktakP\nJ9EtB/9Obcj+XrGNv5VvASDPr/FMZTWvLK3lb5eOZ2zJjj66GR6FmGnREjcYsJefK9d12RZMUJrj\n32PJVDvLdojoFlW1YSzbxa/J5Ph2//dSVWTUXsTwK+oiPLDBA/2Pgc/+Aevm4QA3X/ktdD3ZdUyk\nJuiVHjORowozD6nPsyAIvSM+vX1sdUOU2rBOwrRw3NRM8AHZPiRJwnJSl3+Tps2qbVEMf4QxxQEU\nWSJ7D3/4v07qozp+rWtwE237shyQ7SNpORzTr2vtX5ZHZWNL/JAIkBsiSVriJvURPXWDBCcPze9U\nynCwbGtNsKk5QUnW7idA7kySJAZk+3BclxX1UQoyPfv19SRMG8Ny2BZM4DguGV6FDI+C1Pbcu5KX\n4UlNyGq0CTiwcEsrxw/OxdubaOkIlDTt1Ip5Po1Eh3jv/TUNPLFgC5MH5nDrKcMY1S/Ac4uqeerL\nbdzzyXpmXzWx0/HO8qqsrI+Sn+HpdRbZdlw2t8RZXhtmW2sCByjK9JCfoVGY6SVh2qiKhCbLqeSB\nYeFTFb7aFiKiW9iuu8dloPfGsx+W8/CyOBg6/ONGSEbT27oLjgEkWWbCCScjSRJD8g7+3xhBEPae\nCJD7SENEx6vKVIeSZHoUcv2+LlnQ9kuXAa/KwFwfkaTF3E0tZHlVpo8oPBjDPuTEDYvWhIl3p6Ar\nmDC57uWlbG5NpG+7+aQh/GDK4E77+TWFhqhOOGnu00lHVLdY2xilOOAlZtj0y/KS5VUxbQfTdjtd\nqu7Ish0cFxpjOkuqw1iOg+W45Po0IrrFZxuayfFpHFWYscvZ9weS7bjols2K+jCFmb0Ljtt52yZB\nhnWdBVtaGdc/e6+uhNiOm/q/61IXThLRLRpjBq4LumVTnOXt1fi8qkz/bC+5GRotcYPV9VGOKswk\n06N8LSfyua7LiroImizhVWXaPzn1EZ3//nAdQ/IzuPPsUekJbN+ZNJCAR+H3H6/nH19u6/TZ8qkK\nUd1meyjBiMKeT0qrCyfZ1BKnNqKney/LwJrGGLKUCpRjhk3AqxIzLLyqQlS36JflpTWR6hqxN1eT\n9uSJp5/jsab+EGqAT5/oFBzvzojRYyk9ZiLDC/xf+5MvQTjciQD5ANvcEkeRYHldBNcFvyb3uP6t\nX1u7pYaYQXUoVduZfxCCpkOF7bhU1YbxqTJuh+/ElfURbnp1GXHT5tLx/RmU62fe5hYenb+FppjB\nL6cf1SkAytAUVtRFOGFwXq+b90d1i+aYwfqmGK7rUh/Rieo2OX6NkiwPoaRF3LCZMjgXx02d9NRF\ndPL8GnHTZk1DlExPaka9X1XI8al4VRlZksj0KBi2Q0Q3WbCllfwMjWNLc/us64bjuFRuC2K7LhJS\nl1rT3sr3azTFDFbVR5jSw2NtWA6SBFta42xojuORZRzXRbccfJqMKknojkOef++C93Z5fo3toSQ1\n4SReVSbgVTmmX+Brc6UmkrRYUhMinDQp2Wmi2iPzN+O6Ln+5YEyX7g4XjClhcU2YR+dvYUienzNH\nFqW35fo1NrUkGJaf2aMyiepggiU1YRQZ+ge8nd7nA3MULNuhOZGamxHVLbyqTEy38CoyLTGDwkwP\nrgv7e/2N1z9dwGPrgYAJL90GiVCP73v2JVcjSxIFmaL2WBAOdyJAPsA2NMcwLRdZgsLA3v3RzFBl\nFm0PoUgS4/pnkePXyPJ+vVYxM22HTc3x1KpUmV6CbQkdx3W566N1ZHkV7rugjOMH5QJwXlk/fv/R\nOl5ZWsuE/tmcc0y/9GMFvCoNUZ1NLTGO6kW2qyVusHBLK64LHkVOZ3jz/A4xw6Y2nCr9cF1YXB0i\nbthoioxuOahKqlY205PKtA3opjZXU+R0XWw2qYlTNaEkskyvajP3VnPcoCGq47hul6Bpb2iKTP9s\nHw1RnTkbmjh+UN4uM+txwyKStKgOJ4kZNlHdSrXkclOLLRR1WNlsfzTNkqRUa6+4kVo8JmHYVG4P\nMbYki6huMTgvA8N2jtjJfKsaIsQNmzx/5xPuJdUh3lnVwHcnD2RATtf3gCJL/PYbR7OmIcrf5m9h\nxojC9N8hVZawbIfqYILB+Rm7ff6YblFVG6EwQ9tlCY6qyBTv9Dezy+9jP38kllSHuHupDnml8O/7\nOgXHiqLwq7vuZf6nH7Fm5TIARo0Zx+BhI1i1fClTz5zJD2+6kX5ZXnJ28T4XBOHwIT7F+1l9OEnA\nq1IdStIQ1UmaNjk+Dd8+ZAFTE41ULMdleV0Ex4XBeT6KMr0UZnqoiyQpyPRitV3aN20nHUz0JKhy\nXRfDdjpdErRsB0mSDnhQ1lNLq0M0xAwKd8qg/3tVA2sbY/zPOaPSwTFAjk/jnpmjuWR2JS8sruHs\nUUWdTigKMjysa4oxKDdjjxla13UJJS2+3NpKtlftUmOpKTK5/h2PockOLQmT/tk+kpbdpRVdT8sl\ns30qVbVhHNclaTkMzcsgadl7zHLWh5Nk+VQyPD3/eCdMmw1NMbJ9Kpm7uF/cSC0YkpeROkHr+ZWQ\nVCCaKrfIIsurYrS9RwNelZpQgpqwTihp4bgOEhIBj5oOnA5kBj2jw8S0pphO5bYQCctmc2sC3XSY\nPCiHloRJrk+lJW6R51fJy/CgyhIutNU+pyYNHsrZZ9d1cVywHIfK7UFaYqn3Z0f1UZMfv7Oekiwv\n3zt+0C4fS5ElrjluIL/7cC1VtREmDNixSly+X2NZXRjDcXZZalEdTBBKWigyh0S9PaSOzwuLa3hg\n7iYCsk340e9BIpzeLkkSv7rrXi6++louvvraTveNGzaGnbryUZLtPaTfB4Ig9JwIkPejYMLky21B\nfJpCwrTJz9AoDvSuTnJ3VFmiX8CL47rUhJJsbU2S7VVojBn4tVS7q/EDsllcHcajSHhUmWP6BVjf\nGEstxSyBX021v7Ls1AQnjyITTpqsa4pRmOmhf7aPunCS+ohOaY6fo7uZ6NbXYm21pztnk77cFuR/\nPlzLMf0CnD2qqMv9JEniO8eV8vuP1/P0V9u5tsOXviJLuC5sCyYYmOvbZb1gY1RncXUIs231uJ5M\nQPKocvrStG8f6hB9qkJpjoLjuqxvjFEX1okaFkcXBcjyKBRn+7AdN12C4FVlTNtheW0ERYKRRZms\nb4rh11Jtz3J8GgNyfOkste2kFofwqTLzN7UQ1S0G5nY/sagpZvCDl5dSHUpNTsrP0Hjk4nEkTZuy\nkqw91oFmeFKvY9H2EKosYTgOmiyjKRLhpIVHlYnpNn4tVSd8MBRkeEiYqWx13LBRPQrzNrekj5dh\nOanfp+TiUxUsx0WVJTI8CsGExYQB2SgSFOxl7fb+1Bo3yPVrbGyOI0sStZEkpu0AqTKhDE/X9+Wz\ny5txHHjs0vF77L5wxsgC7v1M4Z5P1vPklRPTdeeqIlOU6WVFXYRQ2zHpGAQ3RJJ8tS2ILEtdPs/7\n4p/PPcWbLz2Dx5sK+uuqt+Pz+7nq+zd1CWirKiuoLJ/LpKnTAJgzv4LwwON4Y4tNfzVJ4r2HOwfH\nssxtv7+vy+MAhJImrQmL6UcVkJ+hHfTfuyAI+48IkPejra1xMjwKqizhU7V9Co52R5YkCjO96cBo\nYI4fl1R/4IqtrWR7NRzXJapbLNzSikeRCSVNJMByXVxXAsmF1P/ABd12aIgYNEYNYoaFR5HZFkxg\nOS5lHVo69aWEae/INu30xeO6Lvd9toH+2T4evnjsLgO0C8eWULE1yEPzNjN5UG6n9lQuqTZOzTGD\nKUO6X4J6bWOUTE3Bl3HwLrXLkkSOTyWsWxT4NdY2RFFkiaFJi+2hBB5ZImrYSEC0JYg/rxCfN9Wb\nNs+vYdoOzTGbzS0JNrfEGVkUYGtrgv7ZXja2xDm6MBPDdrq9pA7wj4qtPDJ/C35N5tvHllIf1fls\nQzNXPrsovc9JQ/K4e+Yxu8w+w44rIUnLJoCKbtl4VYXMLAXbhcIMz0G9YiFJUjpw3PHf1AlD0rJR\nJYmk5ZDhUUiaDpomISOhmw66ZbNgc0tbWYCHcQOy+3SSlmWnynzqIkn8qsKyugijiwOsaYwiAVpb\nFwjTdrotn0mYNnM2RzhrVD9Kd/E+6CjTo/K7s0fxi7dX8taKOi6bMCC9TZElSgJe6iM6m1viFAa8\nuK5LbVinPqJTGPDs09/GqsqKTqvWrV+9kj/c9tPOOykaDJ7AH/50Lw8/+RzD8jwcNXIUo8aM5093\n34UVDcLo0+GYU2HIRNhio9aspPal34DrpB9GVhRu/fV/dRsc207qys7kgTkiOBaEI5AIkPejmGHj\nbVuooC/IUuclffMzPJ2WUu5N7re9pKI2kqQo04tXldkeSlAbTh6UADmYMKkJJVnTGCHXp6Uy4B2s\nakqyvinOf545cre9TyVJ4j+/MZKKbUGe/mobfz6vLL2tIMOD5aQWammNG2hKagJlXThJcZaXYMIk\nnLTSK8UdTD5NSWev28e2qSWOLEHUcunXFoQocY3sTC+qLHUJVv2aQlPMYGlNiISV6iGrWw7LaiNk\ne9VuTzKW14Z5ZP4WxvfP4tZThqcvp8/d1MILi6sZkO1jSU2I+Vta+e37a7lp6hBG7GE1tvbPh7dD\n6cT++kO0YEsrG5vj1IaTDMnzc+KQPDI9yj53BGkfc6AtG9oxA+sh9Vpc10VVZFriBstqwgxtq8Pd\n27kHPRU3LBZvDxE1bMJJi4BXwafKrKyPku1VdnvSAqmTzd99sJaE5fKtscU9ft7ThudTVhzg9eWd\nA2RIZZJz/Cor6iKoShSJVEmKR5HJVvf+t11VWcGNV5yPaaQ6WLz27JN4fR0C+hFTYcqlkF0EGamS\nqxCwpH4DSzQ/NA6A657s/KDbV8Dqz7BWftIpOAa46MpZzLzkik63Oa5LU8zAsBxGl2QxZA/11oIg\nHJ5EgHyE2dt6zfbLoAM79AcemOOnIWrsc0u07iTMVMbTJVXD51VTM9M3tsQpzNTY0ppEliRKs7tO\nTosZFn+cV0eWV+XMkXtuf5fpUTmvrJiXltQQTJjktrUcU2UJVVaIyzblm1uRJBiSl8HW1gS1kSTV\nwSTZh+hkm9xu2qZJkoQss8vuE+2T5izboTluEtZNhuT6SZhOt6Ujq+oj/OSNFeT4VB66aFynoHDa\nsHymDdux3uP/LdzK4wu2MH9zC49fNqFTpv5Ai+oW//v5RtY0RFnTGOuyXVMkvjWmhGsmle6XCX7d\nSb1HU8c9P8NDc8ygMRZEQmLyoBy8qkLAmzp++zvTuLI+StJy8Gsy+Rn+9IlO7h7u127e5lY+WtfE\n9ycWMHFATo+fV5Ikzh7Vj/s/38jmlnj6hKCdT1UoyfbtczeUjt557cV0cNxOTyahZCSc81PIHwiW\nDqF6qHwD8gaCxw9Hn5y6LRmFmlWQkQNL34OmzdC8LXWfnaiaxsxLr+x0W9ywCSVNRhRlUpLlI7Ob\nUhVBEI4Mh+a3/9eE7bh8ur6JqGFTH9GZNiyf4QUZ+zShb3/L0GTmbWrhmH4BhhXsPjPYU6n+zql+\nvzHDRrcdFAlAIturUB8xKMrc9eX2Jyu2URs1efyyPddKtju/rJgXFlfzuw/Xcv8FYzpta2+dZ9oO\n65qiuC40x6A0x3dEXjZVFZnirFTGuWNZQUeW43Lbv1eT4VG4Z+bobvfp6LoTBnPuMf247pWl3P7v\n1Txw4ZguAdP+plsOd320lndXNwIQ8CicX1bM6SMKyPVprG+OEUyYvLm8nleranlvdQOPfHMQuX3Q\nUrygbSZmY0xn4dZWFEkiP9ND0nQYWZRJOGkxJM+fPjFpiCTJ8Ws9LsuIJC2Slk1VTZikZe9T15GX\nltTQL+Dh8rLeL3B/9qgiHpm3mcfKt3D3zNFdtu/P4Pifzz3F688/3flGXxYcex5MnAm2BSs+hrmz\nydYgHGztsF8AkjHaisr26Oiycfz69/cyftIUgk31tMaNtl7Mqc40g3P9vZoEKwjC4Ud8wg+CzS1x\nHpm/mXVNMbYFd6zI9MTCrQCUFQf4/rhcTi1wD0gT/N4ItHUrWNUQpSGqc3RRYK8vVxtWaga9Ikmp\niUPhJLl+jZJA50lNu5sIZ1gOry+v45TBAY4t7Xm2a0RhJj88aSgPzdvMou0hjhvY9b5a2wQjjyId\nkYHxznb3Gt9b3cD2UJL7zi9jTA+zwQNyfPzstOHc9s5qfvDyUp6/+jiKs/Z/eUEkafHQvE18samF\nhqjB8YNyOHtUPy4cW9Jpv/Ft5SAXjS1hRX2UX72zillvbmbywFbuPb+sT5YBLmrrh9sSN6iP6GRo\nCou2h4jqFgAFGRq2C19uDTKiMJOBuX4M2yFp2ukuEx1/Twkz1QJv0fYQspQq9ejuakJPraqPUL6l\nlRtPHNxtMBszLAzLwXJSoWVBhtbpxLUw08P3pgzib+VbmLGusVNf5N5IddJxqQknsR23S5lOVWUF\nd9/+c1ynrQRCkmHocXDO/wN/NsSC8M87mT5pDLOefZHxk6ZQVVnBX+/+HYsr5ne70MegIcNRPRqa\n5sE0DTTNg+bx8K0rrulUc2w5Lpbt0NgSZ+rQfLK8vesQIwjC4Ul8yvtQS9zgro/W8fnGFgBy/So3\nTR1CfobG0LwMPlrXSES3eHd1I7+oj3L6pgR/Om/0QQ/W2rtebAsmMW2XacMLenX/mG6xrilGU8yg\nJW6S7VMoyvSS59d6PSnrX6vqCSUtzhvZ0wvIO1x57ACe/mo7b66o6zZAhs51sQfSstow/1pZz4Kt\nQQAmDMjGdlyuP2HwAc+87sm8TS38ec4GyooDnDK8c1axqrKC2Y8+yJZN6xkyfASzbvoJ4ydNSW8/\nc2QRR83K5MpnF/G38i381zdG7rf3b9yw+dOn6/nXqgYAsr0qvzz9KC7fqf51Z3kZHqYNy+fpKyfy\nylcbeX1NkEue/orfzBjJaUf17r28t/L8GpbjpjtimBmpDhObWsB1IeBR236OY7sutu0yIMdHrl9j\nQLaPrcEEIwozWbC5BcNOdc/Y1/kO24MJbnl9OTk+lSsnlmJHmzttd12XiG4xqijQ1jvcYG1jlKJM\nT6eTi+8dP4gP1jby94XbOvVF7qmYYfHLf61iYdtnAUCLNoKRwLP6EzKCWzHqNqSC44xc6D8Kys6A\nkVMBKFjwJMXxbVz481s7BbbjJ03hiVffSU/qa25qIBRsxdD1LkHw7iRNm9IiH0PzZQbm+A6Z1nSC\nIBxYkuu6PbvmdJiZPHkyX331VZ8+Z/nmFhzX7fKlFdUtXllayxsr6qiP6Izvn81NU4fsMkhbsKWV\nf1Vt5b0NYQoyNK6cWMr3puy6L2lfcNr6qDbFDMqKe1ZuoVupSUPrm2K0xAyyfCqaLO91nfSi7SF+\n/MZyRhZmcv+MEvKKSna5b3sLrp397oO1fLK+iXd+MGWvM4hJ0+bezzaysi6CYTuMH5CNd9sSVpd/\nzLHD+rN143q2bFqPpnmIhEMYuo7H66W4dCD1pSfSnDMcI6cUZAUcB8lK4np2BMWeRCunxyq44qIL\nOgWfPRFsqie3sOtEq/bWVpFwmMoFX2AaJpFwahGErOyc9DiV7EKazv0v5HiQwJxH8OutnbY3N9Z3\neeyComI8Xm+n/RInfJv40aejtm4n//OHKC1MndDUVW/v9Jw7P3/HxwHwFQ0iFighNHIGRlYxrqyg\nBmvI2DiXksZlu7zfrh7TtW3MSRfTPPw0UFTyvvgbhYlaoqHWPY6lL7aVlA5k+MhRnHPRFZSMmoDt\nuqiyjNXWp9xyHbI86n7Jfv+/N1ewuDrE3y+fwIjCTIJN9WzdsiXdAi1qWKyuXMA1F36TqVOnkjRt\n3v/0cx7/x1Ns3bCW5rqa9GuoLygjdPzVFHx0LwVWa49eeyAnn63jLkcfMBYAz7YlGIlYqrF0bn/I\nKkqVRgA0b4WcElB3XL0aFVvD1aeM5dxTT9znY7Erlu2wtbqGs44btVfLpX8d1NTUMGDA7k9Sv67E\nsenewT4uPY0PD5sA+b333uPWW2/Ftm2uu+46fv3rX+92/0MhQLYdlw/XNnL/5xtpjpt4FIn/PmdU\njy5DNjfU8WG1zQdrG6mqjTCuJItfnn4Uo4sPTsu1dmHdJJSwGJrvx3ZchuZnpustO9oeTLC6IYpp\nO/hVZZcrqPWU47pcPrsS03b5+xUTUBOtXQJB13VpiZttM/lVXNwuHShWN0T5zvOLOX9MMXec2TW7\n2Z5t2rh+DcGW5k5Z0tmzn+GJTQqJnLaTFSe1ChtyhxOieChVB7nmc1C9qS97fzYcdSKMOSO1jx6H\nurXw4UOp7eFG0LyQ0x+mXALDp0A8CBsryF/9PoV5PQ+2wq3NmJbdJWBtaW7ccXl6VyQZZtwM48+G\nJ2+G1upe/Ia6PBiM+wacfj20VMMbd0G0qWd39WXBmBmQXwpjv5EalxGHaAvMfx7Wzt2HcbXxZMC1\nD0OgIHX83/hvaNpKT2tU+8KgIcMxLRPTMPZ7QB4eOInYSd+jYN1HeBa/AaRKOWq2bUk/vyRJtH89\njBw5kkgkQl1dXfeD9fjhxqdTE95euR3MZPf7tcsdAOfcCgNGw5ovYNmHsHVJ531yimH4CTB2Rmpl\nu+qVqe4UlW9y+cUX8cvvX97bQ9orrutSHzUolqJMHn3UAX2uw9nBDnYOZeLYdO9gH5cjKkC2bZuj\njz6aDz/8kIEDB3L88cfzwgsvUFZWtsv79HWAXF5ezq9/exdbN61H8/pp9hYRHToVY+jxAGQvepmM\nDXPJzsrq9suru0xXdl4+4UiE5pNvxBwwBtlMkFX5Mt7GdeRq7sHLdHk8eAPZRCMhVEkiNzeXUCiE\naxloXi+52TnUN7ciS5Cdk7tfxuKOOoW6CVeQW/4k/ULruwSCwWAQJPj/7d15dF31dejx7xnuPGie\nZVuebdmyjQfABDOGhJBAmgCZoOUV8khWzaNpFuGlzQrhNY/lpIumaVdaVmnakInwGiAJhCQkIcW4\nicNgYwO2MYMtT5I1WcO9uuM55/f+OJKQrCtZw5V0bfbnH5AlnXvOvvrdu+/v7N/+lQw8nmNl0EwP\ngXCUZKwPNG3omD0rryHZdA21u76Pevv5ocfr6mjPOUMK4Gu8hPTFf+7e4j28C175lfuG7VhQvcxN\ngtd+AKqWgG+M2fW3dkLPSXjuIcZNxBZugM2fclfm97bBL7/hrryfaVfdAU3vg/3/Bb/6h/wcc9P1\nsOUWyKbh0S9D6+u5f66kzu0scMVnoaLhnX8/+goc2QNv/gF6WvJzToNCpbD8Yjj/Rvexu47CL/8B\nMsn8P1YhWfVeeP+d0H7IfU5Ssfwcd+l74Nr/DS/9BJ77ztg/5wm4H078EXjll7D9P8Y/rm66HyTt\nLAB/9tm/5M6/uTc/5zyGnlSW/rTNkoogxXZckpxxzHWyU8gkNrnNdVzOqQR5586d3HvvvTz99NMA\nbNu2DYC//uu/HvN3ZjNB3rlzJ5dccgmWZrrN5y/8mDszBbD7CXjhUXdGcDpK6uCmv3dnvgDe3Al7\nfwnHXnG/Ht6/U9PdW5GaDlbGnd3J15vgXFh8AVz7Rehrh4e2uknpdOgG/I9/cWPy8F1n/vmqJfCp\n+yHRBzsegv2/G//nV17mvvn7ghAoglPHoLt19AzZmZx3rTsDC26SfPC/z3ztuuHWaHY0Q6QMettz\ntrAaZf5auOGr8OLj7jXmjeYe+313QLQS+rvh+GvQ3QJtb8HyLbD4fPAMdGHo73af510/c///xH5m\nfFa3dqU7U718izuTP6ijGU4edG/t+0IQ64STb7qzmJ1H3LH1+nPu2BtI3gqaNwCr3wcXfcqN/aNf\nHtX3d9re/5duS7UH/xzSo1vuUdcIl33aHVM/+gK0Hsx5mMrqWgzTHPHhOdcCupnSHk+zvr6YyrCX\n1tZWSXLGMdfJTiGT2OQ213GZaH54VizSO3HiBPPmvVODW19fz/PPPz/q5x588EEefPBBAE6ePElL\ny+zMAj3xxBNY3jB86G6od+vpePlJd+br0Iv5eZDuE/Dt/+nOKr53q7tAZelmd2Zu8E29p9Vd8VMy\n8IenHHc2bHBGM9ELR/e6b5SxTvfW8tt/hIqFblISrXSPsfxiOPYaNO/O/xvoZHkC7vW2H4LH7pl+\ncgxuacTuJ+CKz8CKS+H17WP/7PJL4LLb3GTtoa3urf4zOfAsALXzFuBYWTIDfVu7h92yHv49r9dH\nMBIhEesjk8lwqmugFOHlJ90PQO/7X/CBz7szvK8+7T43h19yn2el3JIMf9gtafDnKMHpOubO6h3d\n416HY1NeWY1p6Dimn/jFt5GoaULva6Pi8LOElq0YOpfh5wYaFdU1zF+0mIalKzny5gGOHHqbjpMt\ngDbiGkZcU/9xTv3sPjfhr2hwE9FBdhYMD/7mFyDeReTNZ4l41NDj6fPm03r86Ki4jffvOX8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YH7Wlgc8JC2HPweg87+NEvKwxzpTpC2HEoCHuqKz57uMkKIs48kyDNIKUVbPEPWdvvHLiwLTer3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\nEGKY/w+sU6cfg8xOjAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bcb8a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m=Prophet(yearly_seasonality=True)\n",
    "m.fit(ETH)\n",
    "future=m.make_future_dataframe(periods=90,freq='D')\n",
    "forecast=m.predict(future)\n",
    "plt.figure(figsize=(30,10))\n",
    "fig=m.plot(forecast)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>ETH Value</th>\n",
       "      <th>Lower</th>\n",
       "      <th>Upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>919</th>\n",
       "      <td>2018-02-06</td>\n",
       "      <td>1036.788635</td>\n",
       "      <td>974.999296</td>\n",
       "      <td>1100.797428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>920</th>\n",
       "      <td>2018-02-07</td>\n",
       "      <td>1042.415943</td>\n",
       "      <td>977.160313</td>\n",
       "      <td>1105.012838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>921</th>\n",
       "      <td>2018-02-08</td>\n",
       "      <td>1045.578995</td>\n",
       "      <td>982.239530</td>\n",
       "      <td>1105.769335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>922</th>\n",
       "      <td>2018-02-09</td>\n",
       "      <td>1053.407217</td>\n",
       "      <td>990.544030</td>\n",
       "      <td>1120.034639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>923</th>\n",
       "      <td>2018-02-10</td>\n",
       "      <td>1063.336691</td>\n",
       "      <td>1001.488289</td>\n",
       "      <td>1126.068298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924</th>\n",
       "      <td>2018-02-11</td>\n",
       "      <td>1070.868566</td>\n",
       "      <td>1008.040774</td>\n",
       "      <td>1139.468439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>2018-02-12</td>\n",
       "      <td>1076.800803</td>\n",
       "      <td>1011.860750</td>\n",
       "      <td>1138.774499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>2018-02-13</td>\n",
       "      <td>1088.863831</td>\n",
       "      <td>1023.736040</td>\n",
       "      <td>1156.157147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>2018-02-14</td>\n",
       "      <td>1098.271131</td>\n",
       "      <td>1029.779213</td>\n",
       "      <td>1167.779667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>928</th>\n",
       "      <td>2018-02-15</td>\n",
       "      <td>1104.789570</td>\n",
       "      <td>1039.372260</td>\n",
       "      <td>1173.823499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>2018-02-16</td>\n",
       "      <td>1115.493726</td>\n",
       "      <td>1050.836263</td>\n",
       "      <td>1181.271074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>2018-02-17</td>\n",
       "      <td>1127.778057</td>\n",
       "      <td>1060.638004</td>\n",
       "      <td>1188.246767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>1137.116043</td>\n",
       "      <td>1075.451795</td>\n",
       "      <td>1204.872031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>932</th>\n",
       "      <td>2018-02-19</td>\n",
       "      <td>1144.292302</td>\n",
       "      <td>1076.548939</td>\n",
       "      <td>1207.010575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>933</th>\n",
       "      <td>2018-02-20</td>\n",
       "      <td>1157.038233</td>\n",
       "      <td>1089.719173</td>\n",
       "      <td>1218.882958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>2018-02-21</td>\n",
       "      <td>1166.582217</td>\n",
       "      <td>1098.234365</td>\n",
       "      <td>1231.490018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>2018-02-22</td>\n",
       "      <td>1172.719219</td>\n",
       "      <td>1106.980870</td>\n",
       "      <td>1237.755125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>2018-02-23</td>\n",
       "      <td>1182.564034</td>\n",
       "      <td>1114.621770</td>\n",
       "      <td>1245.813213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>2018-02-24</td>\n",
       "      <td>1193.562085</td>\n",
       "      <td>1125.433193</td>\n",
       "      <td>1257.851832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>938</th>\n",
       "      <td>2018-02-25</td>\n",
       "      <td>1201.246937</td>\n",
       "      <td>1135.756463</td>\n",
       "      <td>1271.966232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>939</th>\n",
       "      <td>2018-02-26</td>\n",
       "      <td>1206.470560</td>\n",
       "      <td>1136.789102</td>\n",
       "      <td>1273.693149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940</th>\n",
       "      <td>2018-02-27</td>\n",
       "      <td>1217.036973</td>\n",
       "      <td>1152.968499</td>\n",
       "      <td>1284.936326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941</th>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>1224.250336</td>\n",
       "      <td>1156.062698</td>\n",
       "      <td>1285.933358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>1227.982393</td>\n",
       "      <td>1161.300154</td>\n",
       "      <td>1293.271720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>943</th>\n",
       "      <td>2018-03-02</td>\n",
       "      <td>1235.423584</td>\n",
       "      <td>1163.931378</td>\n",
       "      <td>1303.754897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>944</th>\n",
       "      <td>2018-03-03</td>\n",
       "      <td>1244.091776</td>\n",
       "      <td>1175.598774</td>\n",
       "      <td>1317.607066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>945</th>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>1249.587840</td>\n",
       "      <td>1183.675705</td>\n",
       "      <td>1317.923112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>946</th>\n",
       "      <td>2018-03-05</td>\n",
       "      <td>1252.824163</td>\n",
       "      <td>1184.299208</td>\n",
       "      <td>1316.854380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>2018-03-06</td>\n",
       "      <td>1261.656754</td>\n",
       "      <td>1195.621121</td>\n",
       "      <td>1327.421544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>2018-03-07</td>\n",
       "      <td>1267.432084</td>\n",
       "      <td>1200.710177</td>\n",
       "      <td>1339.095673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>2018-04-07</td>\n",
       "      <td>1479.749526</td>\n",
       "      <td>1386.686687</td>\n",
       "      <td>1569.138149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>2018-04-08</td>\n",
       "      <td>1483.912578</td>\n",
       "      <td>1397.990983</td>\n",
       "      <td>1571.320088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>2018-04-09</td>\n",
       "      <td>1485.845898</td>\n",
       "      <td>1395.010188</td>\n",
       "      <td>1577.041076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>2018-04-10</td>\n",
       "      <td>1493.398783</td>\n",
       "      <td>1406.519662</td>\n",
       "      <td>1587.197650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>2018-04-11</td>\n",
       "      <td>1497.911726</td>\n",
       "      <td>1402.953837</td>\n",
       "      <td>1590.248334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>2018-04-12</td>\n",
       "      <td>1499.283207</td>\n",
       "      <td>1404.381262</td>\n",
       "      <td>1597.935560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>2018-04-13</td>\n",
       "      <td>1504.720408</td>\n",
       "      <td>1404.783632</td>\n",
       "      <td>1606.973519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>2018-04-14</td>\n",
       "      <td>1511.747806</td>\n",
       "      <td>1414.788416</td>\n",
       "      <td>1613.590696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>2018-04-15</td>\n",
       "      <td>1515.962880</td>\n",
       "      <td>1427.450599</td>\n",
       "      <td>1618.086112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>2018-04-16</td>\n",
       "      <td>1518.265018</td>\n",
       "      <td>1415.679664</td>\n",
       "      <td>1616.438211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>2018-04-17</td>\n",
       "      <td>1526.488278</td>\n",
       "      <td>1420.960407</td>\n",
       "      <td>1626.209318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>2018-04-18</td>\n",
       "      <td>1531.949094</td>\n",
       "      <td>1422.628326</td>\n",
       "      <td>1637.290208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>2018-04-19</td>\n",
       "      <td>1534.513843</td>\n",
       "      <td>1432.325536</td>\n",
       "      <td>1637.901024</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>2018-04-20</td>\n",
       "      <td>1541.350586</td>\n",
       "      <td>1432.592709</td>\n",
       "      <td>1642.110607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>2018-04-21</td>\n",
       "      <td>1549.938894</td>\n",
       "      <td>1448.485719</td>\n",
       "      <td>1655.905750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>2018-04-22</td>\n",
       "      <td>1555.826968</td>\n",
       "      <td>1442.751480</td>\n",
       "      <td>1669.760593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>2018-04-23</td>\n",
       "      <td>1559.862095</td>\n",
       "      <td>1448.258278</td>\n",
       "      <td>1671.917577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>2018-04-24</td>\n",
       "      <td>1569.825035</td>\n",
       "      <td>1455.509861</td>\n",
       "      <td>1684.161138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>2018-04-25</td>\n",
       "      <td>1576.979401</td>\n",
       "      <td>1465.938913</td>\n",
       "      <td>1693.048527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>2018-04-26</td>\n",
       "      <td>1581.140884</td>\n",
       "      <td>1473.835417</td>\n",
       "      <td>1695.031077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>2018-04-27</td>\n",
       "      <td>1589.430584</td>\n",
       "      <td>1472.017657</td>\n",
       "      <td>1709.584210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>2018-04-28</td>\n",
       "      <td>1599.286319</td>\n",
       "      <td>1483.806346</td>\n",
       "      <td>1712.906084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>2018-04-29</td>\n",
       "      <td>1606.221081</td>\n",
       "      <td>1488.127733</td>\n",
       "      <td>1715.570653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>2018-04-30</td>\n",
       "      <td>1611.054607</td>\n",
       "      <td>1489.734430</td>\n",
       "      <td>1732.471758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>2018-05-01</td>\n",
       "      <td>1621.548681</td>\n",
       "      <td>1497.448765</td>\n",
       "      <td>1742.868729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>2018-05-02</td>\n",
       "      <td>1628.957144</td>\n",
       "      <td>1496.503380</td>\n",
       "      <td>1754.393961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>2018-05-03</td>\n",
       "      <td>1633.095486</td>\n",
       "      <td>1513.840183</td>\n",
       "      <td>1751.912266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006</th>\n",
       "      <td>2018-05-04</td>\n",
       "      <td>1641.094243</td>\n",
       "      <td>1510.218858</td>\n",
       "      <td>1770.410933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007</th>\n",
       "      <td>2018-05-05</td>\n",
       "      <td>1650.410089</td>\n",
       "      <td>1521.107539</td>\n",
       "      <td>1772.120787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1008</th>\n",
       "      <td>2018-05-06</td>\n",
       "      <td>1656.583764</td>\n",
       "      <td>1532.531600</td>\n",
       "      <td>1784.929810</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date    ETH Value        Lower        Upper\n",
       "919  2018-02-06  1036.788635   974.999296  1100.797428\n",
       "920  2018-02-07  1042.415943   977.160313  1105.012838\n",
       "921  2018-02-08  1045.578995   982.239530  1105.769335\n",
       "922  2018-02-09  1053.407217   990.544030  1120.034639\n",
       "923  2018-02-10  1063.336691  1001.488289  1126.068298\n",
       "924  2018-02-11  1070.868566  1008.040774  1139.468439\n",
       "925  2018-02-12  1076.800803  1011.860750  1138.774499\n",
       "926  2018-02-13  1088.863831  1023.736040  1156.157147\n",
       "927  2018-02-14  1098.271131  1029.779213  1167.779667\n",
       "928  2018-02-15  1104.789570  1039.372260  1173.823499\n",
       "929  2018-02-16  1115.493726  1050.836263  1181.271074\n",
       "930  2018-02-17  1127.778057  1060.638004  1188.246767\n",
       "931  2018-02-18  1137.116043  1075.451795  1204.872031\n",
       "932  2018-02-19  1144.292302  1076.548939  1207.010575\n",
       "933  2018-02-20  1157.038233  1089.719173  1218.882958\n",
       "934  2018-02-21  1166.582217  1098.234365  1231.490018\n",
       "935  2018-02-22  1172.719219  1106.980870  1237.755125\n",
       "936  2018-02-23  1182.564034  1114.621770  1245.813213\n",
       "937  2018-02-24  1193.562085  1125.433193  1257.851832\n",
       "938  2018-02-25  1201.246937  1135.756463  1271.966232\n",
       "939  2018-02-26  1206.470560  1136.789102  1273.693149\n",
       "940  2018-02-27  1217.036973  1152.968499  1284.936326\n",
       "941  2018-02-28  1224.250336  1156.062698  1285.933358\n",
       "942  2018-03-01  1227.982393  1161.300154  1293.271720\n",
       "943  2018-03-02  1235.423584  1163.931378  1303.754897\n",
       "944  2018-03-03  1244.091776  1175.598774  1317.607066\n",
       "945  2018-03-04  1249.587840  1183.675705  1317.923112\n",
       "946  2018-03-05  1252.824163  1184.299208  1316.854380\n",
       "947  2018-03-06  1261.656754  1195.621121  1327.421544\n",
       "948  2018-03-07  1267.432084  1200.710177  1339.095673\n",
       "...         ...          ...          ...          ...\n",
       "979  2018-04-07  1479.749526  1386.686687  1569.138149\n",
       "980  2018-04-08  1483.912578  1397.990983  1571.320088\n",
       "981  2018-04-09  1485.845898  1395.010188  1577.041076\n",
       "982  2018-04-10  1493.398783  1406.519662  1587.197650\n",
       "983  2018-04-11  1497.911726  1402.953837  1590.248334\n",
       "984  2018-04-12  1499.283207  1404.381262  1597.935560\n",
       "985  2018-04-13  1504.720408  1404.783632  1606.973519\n",
       "986  2018-04-14  1511.747806  1414.788416  1613.590696\n",
       "987  2018-04-15  1515.962880  1427.450599  1618.086112\n",
       "988  2018-04-16  1518.265018  1415.679664  1616.438211\n",
       "989  2018-04-17  1526.488278  1420.960407  1626.209318\n",
       "990  2018-04-18  1531.949094  1422.628326  1637.290208\n",
       "991  2018-04-19  1534.513843  1432.325536  1637.901024\n",
       "992  2018-04-20  1541.350586  1432.592709  1642.110607\n",
       "993  2018-04-21  1549.938894  1448.485719  1655.905750\n",
       "994  2018-04-22  1555.826968  1442.751480  1669.760593\n",
       "995  2018-04-23  1559.862095  1448.258278  1671.917577\n",
       "996  2018-04-24  1569.825035  1455.509861  1684.161138\n",
       "997  2018-04-25  1576.979401  1465.938913  1693.048527\n",
       "998  2018-04-26  1581.140884  1473.835417  1695.031077\n",
       "999  2018-04-27  1589.430584  1472.017657  1709.584210\n",
       "1000 2018-04-28  1599.286319  1483.806346  1712.906084\n",
       "1001 2018-04-29  1606.221081  1488.127733  1715.570653\n",
       "1002 2018-04-30  1611.054607  1489.734430  1732.471758\n",
       "1003 2018-05-01  1621.548681  1497.448765  1742.868729\n",
       "1004 2018-05-02  1628.957144  1496.503380  1754.393961\n",
       "1005 2018-05-03  1633.095486  1513.840183  1751.912266\n",
       "1006 2018-05-04  1641.094243  1510.218858  1770.410933\n",
       "1007 2018-05-05  1650.410089  1521.107539  1772.120787\n",
       "1008 2018-05-06  1656.583764  1532.531600  1784.929810\n",
       "\n",
       "[90 rows x 4 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next_90=forecast.iloc[-90:,:][['ds','yhat','yhat_lower','yhat_upper']]\n",
    "next_90.rename(columns={'ds':'Date','yhat':'ETH Value','yhat_lower':'Lower','yhat_upper':'Upper'},inplace=True)\n",
    "next_90\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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