Bitcoin Price Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 89,
   "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": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
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       "      <th>Close Price</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>7/18/10 0:00</td>\n",
       "      <td>0.09</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7/19/10 0:00</td>\n",
       "      <td>0.08</td>\n",
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       "      <th>2</th>\n",
       "      <td>7/20/10 0:00</td>\n",
       "      <td>0.07</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7/21/10 0:00</td>\n",
       "      <td>0.08</td>\n",
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       "      <th>4</th>\n",
       "      <td>7/22/10 0:00</td>\n",
       "      <td>0.05</td>\n",
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       "      <th>5</th>\n",
       "      <td>7/23/10 0:00</td>\n",
       "      <td>0.06</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7/24/10 0:00</td>\n",
       "      <td>0.05</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7/25/10 0:00</td>\n",
       "      <td>0.05</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7/26/10 0:00</td>\n",
       "      <td>0.06</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7/27/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>7/28/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7/29/10 0:00</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>7/30/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>7/31/10 0:00</td>\n",
       "      <td>0.07</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>8/1/10 0:00</td>\n",
       "      <td>0.06</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>8/2/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8/3/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>8/4/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>8/5/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>8/6/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8/7/10 0:00</td>\n",
       "      <td>0.06</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>8/8/10 0:00</td>\n",
       "      <td>0.06</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8/9/10 0:00</td>\n",
       "      <td>0.07</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>8/10/10 0:00</td>\n",
       "      <td>0.07</td>\n",
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       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>8/11/10 0:00</td>\n",
       "      <td>0.07</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>8/12/10 0:00</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>8/13/10 0:00</td>\n",
       "      <td>0.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8/14/10 0:00</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>8/15/10 0:00</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>8/16/10 0:00</td>\n",
       "      <td>0.07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "            Date  Close Price\n",
       "0   7/18/10 0:00         0.09\n",
       "1   7/19/10 0:00         0.08\n",
       "2   7/20/10 0:00         0.07\n",
       "3   7/21/10 0:00         0.08\n",
       "4   7/22/10 0:00         0.05\n",
       "5   7/23/10 0:00         0.06\n",
       "6   7/24/10 0:00         0.05\n",
       "7   7/25/10 0:00         0.05\n",
       "8   7/26/10 0:00         0.06\n",
       "9   7/27/10 0:00         0.06\n",
       "10  7/28/10 0:00         0.06\n",
       "11  7/29/10 0:00         0.07\n",
       "12  7/30/10 0:00         0.06\n",
       "13  7/31/10 0:00         0.07\n",
       "14   8/1/10 0:00         0.06\n",
       "15   8/2/10 0:00         0.06\n",
       "16   8/3/10 0:00         0.06\n",
       "17   8/4/10 0:00         0.06\n",
       "18   8/5/10 0:00         0.06\n",
       "19   8/6/10 0:00         0.06\n",
       "20   8/7/10 0:00         0.06\n",
       "21   8/8/10 0:00         0.06\n",
       "22   8/9/10 0:00         0.07\n",
       "23  8/10/10 0:00         0.07\n",
       "24  8/11/10 0:00         0.07\n",
       "25  8/12/10 0:00         0.07\n",
       "26  8/13/10 0:00         0.06\n",
       "27  8/14/10 0:00         0.07\n",
       "28  8/15/10 0:00         0.07\n",
       "29  8/16/10 0:00         0.07"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "bitcoin=pd.read_csv('bitcoin_close.csv')\n",
    "\n",
    "bitcoin.head(30)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Close Price</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>2731</th>\n",
       "      <td>1/8/18 0:00</td>\n",
       "      <td>14970.36</td>\n",
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       "      <th>2732</th>\n",
       "      <td>1/9/18 0:00</td>\n",
       "      <td>14439.47</td>\n",
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       "      <th>2733</th>\n",
       "      <td>1/10/18 0:00</td>\n",
       "      <td>14890.72</td>\n",
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       "    <tr>\n",
       "      <th>2734</th>\n",
       "      <td>1/11/18 0:00</td>\n",
       "      <td>13287.26</td>\n",
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       "    <tr>\n",
       "      <th>2735</th>\n",
       "      <td>1/12/18 0:00</td>\n",
       "      <td>13812.71</td>\n",
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       "    <tr>\n",
       "      <th>2736</th>\n",
       "      <td>1/13/18 0:00</td>\n",
       "      <td>14188.78</td>\n",
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       "    <tr>\n",
       "      <th>2737</th>\n",
       "      <td>1/14/18 0:00</td>\n",
       "      <td>13619.03</td>\n",
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       "    <tr>\n",
       "      <th>2738</th>\n",
       "      <td>1/15/18 0:00</td>\n",
       "      <td>13585.90</td>\n",
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       "    <tr>\n",
       "      <th>2739</th>\n",
       "      <td>1/16/18 0:00</td>\n",
       "      <td>11348.02</td>\n",
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       "    <tr>\n",
       "      <th>2740</th>\n",
       "      <td>1/17/18 0:00</td>\n",
       "      <td>11141.25</td>\n",
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       "    <tr>\n",
       "      <th>2741</th>\n",
       "      <td>1/18/18 0:00</td>\n",
       "      <td>11250.65</td>\n",
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       "    <tr>\n",
       "      <th>2742</th>\n",
       "      <td>1/19/18 0:00</td>\n",
       "      <td>11514.92</td>\n",
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       "    <tr>\n",
       "      <th>2743</th>\n",
       "      <td>1/20/18 0:00</td>\n",
       "      <td>12759.64</td>\n",
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       "      <th>2744</th>\n",
       "      <td>1/21/18 0:00</td>\n",
       "      <td>11522.86</td>\n",
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       "      <th>2745</th>\n",
       "      <td>1/22/18 0:00</td>\n",
       "      <td>10772.15</td>\n",
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       "      <th>2746</th>\n",
       "      <td>1/23/18 0:00</td>\n",
       "      <td>10839.83</td>\n",
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       "    <tr>\n",
       "      <th>2747</th>\n",
       "      <td>1/24/18 0:00</td>\n",
       "      <td>11399.52</td>\n",
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       "    <tr>\n",
       "      <th>2748</th>\n",
       "      <td>1/25/18 0:00</td>\n",
       "      <td>11137.24</td>\n",
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       "    <tr>\n",
       "      <th>2749</th>\n",
       "      <td>1/26/18 0:00</td>\n",
       "      <td>11090.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2750</th>\n",
       "      <td>1/27/18 0:00</td>\n",
       "      <td>11407.15</td>\n",
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       "    <tr>\n",
       "      <th>2751</th>\n",
       "      <td>1/28/18 0:00</td>\n",
       "      <td>11694.47</td>\n",
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       "    <tr>\n",
       "      <th>2752</th>\n",
       "      <td>1/29/18 0:00</td>\n",
       "      <td>11158.39</td>\n",
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       "    <tr>\n",
       "      <th>2753</th>\n",
       "      <td>1/30/18 0:00</td>\n",
       "      <td>10035.00</td>\n",
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       "      <td>1/31/18 0:00</td>\n",
       "      <td>10166.51</td>\n",
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       "      <th>2755</th>\n",
       "      <td>2/1/18 0:00</td>\n",
       "      <td>9052.58</td>\n",
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       "      <th>2756</th>\n",
       "      <td>2/2/18 0:00</td>\n",
       "      <td>8827.63</td>\n",
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       "    <tr>\n",
       "      <th>2757</th>\n",
       "      <td>2/3/18 0:00</td>\n",
       "      <td>9224.39</td>\n",
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       "      <th>2758</th>\n",
       "      <td>2/4/18 0:00</td>\n",
       "      <td>8186.65</td>\n",
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       "      <td>2/5/18 0:00</td>\n",
       "      <td>6914.26</td>\n",
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       "      <th>2760</th>\n",
       "      <td>2/6/18 4:20</td>\n",
       "      <td>6185.64</td>\n",
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       "              Date  Close Price\n",
       "2731   1/8/18 0:00     14970.36\n",
       "2732   1/9/18 0:00     14439.47\n",
       "2733  1/10/18 0:00     14890.72\n",
       "2734  1/11/18 0:00     13287.26\n",
       "2735  1/12/18 0:00     13812.71\n",
       "2736  1/13/18 0:00     14188.78\n",
       "2737  1/14/18 0:00     13619.03\n",
       "2738  1/15/18 0:00     13585.90\n",
       "2739  1/16/18 0:00     11348.02\n",
       "2740  1/17/18 0:00     11141.25\n",
       "2741  1/18/18 0:00     11250.65\n",
       "2742  1/19/18 0:00     11514.92\n",
       "2743  1/20/18 0:00     12759.64\n",
       "2744  1/21/18 0:00     11522.86\n",
       "2745  1/22/18 0:00     10772.15\n",
       "2746  1/23/18 0:00     10839.83\n",
       "2747  1/24/18 0:00     11399.52\n",
       "2748  1/25/18 0:00     11137.24\n",
       "2749  1/26/18 0:00     11090.06\n",
       "2750  1/27/18 0:00     11407.15\n",
       "2751  1/28/18 0:00     11694.47\n",
       "2752  1/29/18 0:00     11158.39\n",
       "2753  1/30/18 0:00     10035.00\n",
       "2754  1/31/18 0:00     10166.51\n",
       "2755   2/1/18 0:00      9052.58\n",
       "2756   2/2/18 0:00      8827.63\n",
       "2757   2/3/18 0:00      9224.39\n",
       "2758   2/4/18 0:00      8186.65\n",
       "2759   2/5/18 0:00      6914.26\n",
       "2760   2/6/18 4:20      6185.64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bitcoin.tail(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
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vlMHBwcxshNmxu4XxZcUUFSVBIRssAPatHLp7OORycDAzG2F2NLUwIecit9+t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\ndeLgYGZmnTg4mJlZJw4OZmbWyf8Hp+QES8YHWhcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114e66dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bitcoin['Close Price'].plot(title='Bitcoin Historical Close Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>ds</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2701</th>\n",
       "      <td>12/9/17 0:00</td>\n",
       "      <td>14913.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2702</th>\n",
       "      <td>12/10/17 0:00</td>\n",
       "      <td>15036.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2703</th>\n",
       "      <td>12/11/17 0:00</td>\n",
       "      <td>16699.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2704</th>\n",
       "      <td>12/12/17 0:00</td>\n",
       "      <td>17178.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2705</th>\n",
       "      <td>12/13/17 0:00</td>\n",
       "      <td>16407.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2706</th>\n",
       "      <td>12/14/17 0:00</td>\n",
       "      <td>16531.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2707</th>\n",
       "      <td>12/15/17 0:00</td>\n",
       "      <td>17601.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2708</th>\n",
       "      <td>12/16/17 0:00</td>\n",
       "      <td>19343.04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2709</th>\n",
       "      <td>12/17/17 0:00</td>\n",
       "      <td>19086.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2710</th>\n",
       "      <td>12/18/17 0:00</td>\n",
       "      <td>18960.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2711</th>\n",
       "      <td>12/19/17 0:00</td>\n",
       "      <td>17608.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2712</th>\n",
       "      <td>12/20/17 0:00</td>\n",
       "      <td>16454.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2713</th>\n",
       "      <td>12/21/17 0:00</td>\n",
       "      <td>15561.05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2714</th>\n",
       "      <td>12/22/17 0:00</td>\n",
       "      <td>13857.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2715</th>\n",
       "      <td>12/23/17 0:00</td>\n",
       "      <td>14548.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2716</th>\n",
       "      <td>12/24/17 0:00</td>\n",
       "      <td>13975.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2717</th>\n",
       "      <td>12/25/17 0:00</td>\n",
       "      <td>13917.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2718</th>\n",
       "      <td>12/26/17 0:00</td>\n",
       "      <td>15745.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2719</th>\n",
       "      <td>12/27/17 0:00</td>\n",
       "      <td>15378.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2720</th>\n",
       "      <td>12/28/17 0:00</td>\n",
       "      <td>14428.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2721</th>\n",
       "      <td>12/29/17 0:00</td>\n",
       "      <td>14427.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2722</th>\n",
       "      <td>12/30/17 0:00</td>\n",
       "      <td>12629.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2723</th>\n",
       "      <td>12/31/17 0:00</td>\n",
       "      <td>13860.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2724</th>\n",
       "      <td>1/1/18 0:00</td>\n",
       "      <td>13412.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2725</th>\n",
       "      <td>1/2/18 0:00</td>\n",
       "      <td>14740.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2726</th>\n",
       "      <td>1/3/18 0:00</td>\n",
       "      <td>15134.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2727</th>\n",
       "      <td>1/4/18 0:00</td>\n",
       "      <td>15155.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2728</th>\n",
       "      <td>1/5/18 0:00</td>\n",
       "      <td>16937.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2729</th>\n",
       "      <td>1/6/18 0:00</td>\n",
       "      <td>17135.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2730</th>\n",
       "      <td>1/7/18 0:00</td>\n",
       "      <td>16178.49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2731</th>\n",
       "      <td>1/8/18 0:00</td>\n",
       "      <td>14970.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2732</th>\n",
       "      <td>1/9/18 0:00</td>\n",
       "      <td>14439.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2733</th>\n",
       "      <td>1/10/18 0:00</td>\n",
       "      <td>14890.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2734</th>\n",
       "      <td>1/11/18 0:00</td>\n",
       "      <td>13287.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2735</th>\n",
       "      <td>1/12/18 0:00</td>\n",
       "      <td>13812.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2736</th>\n",
       "      <td>1/13/18 0:00</td>\n",
       "      <td>14188.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2737</th>\n",
       "      <td>1/14/18 0:00</td>\n",
       "      <td>13619.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2738</th>\n",
       "      <td>1/15/18 0:00</td>\n",
       "      <td>13585.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2739</th>\n",
       "      <td>1/16/18 0:00</td>\n",
       "      <td>11348.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2740</th>\n",
       "      <td>1/17/18 0:00</td>\n",
       "      <td>11141.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2741</th>\n",
       "      <td>1/18/18 0:00</td>\n",
       "      <td>11250.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2742</th>\n",
       "      <td>1/19/18 0:00</td>\n",
       "      <td>11514.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2743</th>\n",
       "      <td>1/20/18 0:00</td>\n",
       "      <td>12759.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2744</th>\n",
       "      <td>1/21/18 0:00</td>\n",
       "      <td>11522.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2745</th>\n",
       "      <td>1/22/18 0:00</td>\n",
       "      <td>10772.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2746</th>\n",
       "      <td>1/23/18 0:00</td>\n",
       "      <td>10839.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2747</th>\n",
       "      <td>1/24/18 0:00</td>\n",
       "      <td>11399.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2748</th>\n",
       "      <td>1/25/18 0:00</td>\n",
       "      <td>11137.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2749</th>\n",
       "      <td>1/26/18 0:00</td>\n",
       "      <td>11090.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2750</th>\n",
       "      <td>1/27/18 0:00</td>\n",
       "      <td>11407.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2751</th>\n",
       "      <td>1/28/18 0:00</td>\n",
       "      <td>11694.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2752</th>\n",
       "      <td>1/29/18 0:00</td>\n",
       "      <td>11158.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2753</th>\n",
       "      <td>1/30/18 0:00</td>\n",
       "      <td>10035.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2754</th>\n",
       "      <td>1/31/18 0:00</td>\n",
       "      <td>10166.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2755</th>\n",
       "      <td>2/1/18 0:00</td>\n",
       "      <td>9052.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2756</th>\n",
       "      <td>2/2/18 0:00</td>\n",
       "      <td>8827.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2757</th>\n",
       "      <td>2/3/18 0:00</td>\n",
       "      <td>9224.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2758</th>\n",
       "      <td>2/4/18 0:00</td>\n",
       "      <td>8186.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2759</th>\n",
       "      <td>2/5/18 0:00</td>\n",
       "      <td>6914.26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2760</th>\n",
       "      <td>2/6/18 4:20</td>\n",
       "      <td>6185.64</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 ds         y\n",
       "2701   12/9/17 0:00  14913.40\n",
       "2702  12/10/17 0:00  15036.96\n",
       "2703  12/11/17 0:00  16699.68\n",
       "2704  12/12/17 0:00  17178.10\n",
       "2705  12/13/17 0:00  16407.20\n",
       "2706  12/14/17 0:00  16531.08\n",
       "2707  12/15/17 0:00  17601.94\n",
       "2708  12/16/17 0:00  19343.04\n",
       "2709  12/17/17 0:00  19086.64\n",
       "2710  12/18/17 0:00  18960.52\n",
       "2711  12/19/17 0:00  17608.35\n",
       "2712  12/20/17 0:00  16454.72\n",
       "2713  12/21/17 0:00  15561.05\n",
       "2714  12/22/17 0:00  13857.14\n",
       "2715  12/23/17 0:00  14548.71\n",
       "2716  12/24/17 0:00  13975.44\n",
       "2717  12/25/17 0:00  13917.03\n",
       "2718  12/26/17 0:00  15745.26\n",
       "2719  12/27/17 0:00  15378.28\n",
       "2720  12/28/17 0:00  14428.76\n",
       "2721  12/29/17 0:00  14427.87\n",
       "2722  12/30/17 0:00  12629.81\n",
       "2723  12/31/17 0:00  13860.14\n",
       "2724    1/1/18 0:00  13412.44\n",
       "2725    1/2/18 0:00  14740.76\n",
       "2726    1/3/18 0:00  15134.65\n",
       "2727    1/4/18 0:00  15155.23\n",
       "2728    1/5/18 0:00  16937.17\n",
       "2729    1/6/18 0:00  17135.84\n",
       "2730    1/7/18 0:00  16178.49\n",
       "2731    1/8/18 0:00  14970.36\n",
       "2732    1/9/18 0:00  14439.47\n",
       "2733   1/10/18 0:00  14890.72\n",
       "2734   1/11/18 0:00  13287.26\n",
       "2735   1/12/18 0:00  13812.71\n",
       "2736   1/13/18 0:00  14188.78\n",
       "2737   1/14/18 0:00  13619.03\n",
       "2738   1/15/18 0:00  13585.90\n",
       "2739   1/16/18 0:00  11348.02\n",
       "2740   1/17/18 0:00  11141.25\n",
       "2741   1/18/18 0:00  11250.65\n",
       "2742   1/19/18 0:00  11514.92\n",
       "2743   1/20/18 0:00  12759.64\n",
       "2744   1/21/18 0:00  11522.86\n",
       "2745   1/22/18 0:00  10772.15\n",
       "2746   1/23/18 0:00  10839.83\n",
       "2747   1/24/18 0:00  11399.52\n",
       "2748   1/25/18 0:00  11137.24\n",
       "2749   1/26/18 0:00  11090.06\n",
       "2750   1/27/18 0:00  11407.15\n",
       "2751   1/28/18 0:00  11694.47\n",
       "2752   1/29/18 0:00  11158.39\n",
       "2753   1/30/18 0:00  10035.00\n",
       "2754   1/31/18 0:00  10166.51\n",
       "2755    2/1/18 0:00   9052.58\n",
       "2756    2/2/18 0:00   8827.63\n",
       "2757    2/3/18 0:00   9224.39\n",
       "2758    2/4/18 0:00   8186.65\n",
       "2759    2/5/18 0:00   6914.26\n",
       "2760    2/6/18 4:20   6185.64"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "bitcoin.rename(columns={'Date':'ds','Close Price':'y'},inplace=True)\n",
    "bitcoin.tail(60)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114d049e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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DbsgC8kMPPdSn7frrrz/m9WvXrmXt2rV92ktKSnj99df7tKelpfGb3/zmww1SREREJEUF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8/zJ8b51oEhfnV/D2uysXldS9UPoxQlx6Qt6bB1lT+ci8aTAHkFOjlZpiPlntNcXdc0WhM2TTGb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\nKjHLuKTj4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EIIIYQQ00iALIQQQgghxDQSIAshhBBCCDGNBMhCCCGEEEJMIwGyEEIIIYQQ\n00iALIQQQgghxDQSIAshhBBCCDGNBMhCCCGEEEJMIwGyEEIIIYQQ00iALIQQQgghxDQSIAshhBBC\nCDGNBMhCCCGEEEJMoyml1FJfxGJqaWlh/fr1S30ZS2JwcJDW1talvozLgqzV7MlazZ6s1ezJWs2O\nrNPsyVrN3kpeq97eXoaGhi7691ZdgLya7du3j6effnqpL+OyIGs1e7JWsydrNXuyVrMj6zR7slaz\nJ2slKRZCCCGEEEKcQQJkIYQQQgghpjE+85nPfGapL0IsnmuuuWapL+GyIWs1e7JWsydrNXuyVrMj\n6zR7slazt9rXSnKQhRBCCCGEmEZSLIQQQgghhJhGAmQhhBBCCCGmkQD5MtbX18fNN9/M9u3b2bFj\nB1/4whcAGBkZ4bbbbmPz5s3cdtttjI6OAjA8PMzNN99MMpnkox/96Bnf64EHHqCnp4dkMrno97EY\nGrVWxWKRd77znWzbto0dO3bwqU99aknuZyE18nX1jne8g927d7Njxw4+9KEPEQTBot/PQmrkWtXd\nfvvtXHXVVYt2D4ulkWt10003sXXrVvbs2cOePXsYGBhY9PtZKI1cp2q1yn333ceWLVvYtm0bjz32\n2KLfz0Jq1FpNTk5OvZb27NlDS0sLH/vYx5bknhZKI19XjzzyCDt37mTXrl284x3vmFVP4cuSEpet\nEydOqGeeeUYppdTExITavHmzeumll9QnP/lJ9eCDDyqllHrwwQfVb/7mbyqllMrn8+rJJ59UDz30\nkPrIRz5yxvf60Y9+pE6cOKESicTi3sQiadRaFQoF9Z3vfEcppVSlUlHXX3+9+sY3vrHId7OwGvm6\nGh8fV0opFYahuvPOO9UjjzyyiHey8Bq5Vkop9dhjj6kPfOADaseOHYt3E4ukkWt14403qp/+9KeL\newOLpJHr9Lu/+7vqgQceUEopFQSBGhwcXMQ7WXiN/v2r27t3r/re97638DewiBq1Vp7nqdbW1qnX\n0ic/+Un1e7/3e4t7M4tEdpAvY52dnezduxeAVCrFlVdeyfHjx/nqV7/KPffcA8A999zD448/DkAi\nkeD666/Hdd1zvteb3/xmOjs7F+/iF1mj1ioej3PzzTcDYNs2e/fu5dixY4t4Jwuvka+rdDoNgO/7\nVKtVNE1bpLtYHI1cq3w+zx//8R/z6U9/evFuYBE1cq1Wskau01/8xV/w27/92wDouk5LS8si3cXi\nWIjX1IEDBxgYGOCGG25Y+BtYRI1aK6UUSikKhQJKKSYmJujq6lrcm1kkEiCvEL29vTz33HNce+21\nnDp1airY7ejo4NSpU0t8dctLo9ZqbGyMr33ta9x6660LdalLrhFr9Qu/8Au0tbWRSqV473vfu5CX\nu6Quda1+53d+h49//OPE4/GFvtQl14jX1T333MOePXv47Gc/i1qhzZguZZ3GxsaA6HW1d+9e7r77\n7hX9WdCo9/VHH32U973vfSvuYX66S1kry7J46KGH2LlzJ11dXbz88svce++9i3HZi04C5BUgn89z\n11138fnPf35qx65O07QV/Ys+V41aK9/3+cAHPsD999/Phg0bFuJSl1yj1uqb3/wm/f39VCoVvvOd\n7yzEpS65S12r559/noMHD/Ke97xnIS9zWWjE6+qv//qveemll3jyySd58skn+au/+quFutwlc6nr\n5Ps+x44d4y1veQvPPvss1113HZ/4xCcW8pKXTCM/Ax999FE+8IEPNPoSl41LXSvP83jooYd47rnn\nOHHiBLt27eLBBx9cyEteMhIgX+Y8z+Ouu+7igx/8IHfeeScA7e3t9Pf3A9Df309bW9tSXuKy0ci1\nuu+++9i8efOKK+Soa/TrynVd7rjjDr761a8uyPUupUas1Y9+9COefvpp1q9fz/XXX8+BAwe46aab\nFvrSF12jXlfd3d1AdFT8y7/8y/zkJz9ZuIteAo1Yp+bmZuLx+NTX33333Tz77LMLe+FLoJHvVS+8\n8AK+76/YARmNWKvnn38egI0bN6JpGr/0S7/EU089tbAXvkQkQL6MKaW49957ufLKK/mN3/iNqf9+\n++238/DDDwPw8MMPc8cddyzVJS4bjVyrT3/604yPj/P5z39+wa53KTVqrfL5/NQbr+/7PPHEE2zb\ntm3hLnwJNGqtPvzhD3PixAl6e3v5wQ9+wJYtW/jud7+7kJe+6Bq1Vr7vT1XNe57H17/+9RXV9aNR\n66RpGu9+97unXkff/va32b59+4Jd91Jo9GfgI488smJ3jxu1Vt3d3bz88ssMDg4C8K1vfYsrr7xy\n4S58KS1NbaBohCeffFIBaufOnWr37t1q9+7d6oknnlBDQ0PqlltuUZs2bVK33nqrGh4envqadevW\nqVwupxKJhOru7lYvvfSSUiqqRO3u7laapqnu7u4VV5XaqLXq6+tTgNq2bdvU9/nSl760hHfWeI1a\nq5MnT6p9+/apnTt3qh07dqiPfvSjyvO8Jbyzxmvk72Dd4cOHV2QXi0atVT6fV3v37lU7d+5U27dv\nV/fff7/yfX8J76yxGvma6u3tVTfccIPauXOnuuWWW9SRI0eW6rYWRKN//6644gr1yiuvLMWtLLhG\nrtVDDz2ktm3bpnbu3Kne9a53qaGhoaW6rQUlo6aFEEIIIYSYRlIshBBCCCGEmEYCZCGEEEIIIaaR\nAFkIIYQQQohpJEAWQgghhBBiGgmQhRBCCCGEmEYCZCGEWCU+85nP8Ed/9EdLfRlCCLHsSYAshBBC\nCCHENBIgCyHECvb7v//7bNmyheuvv57XXnsNgD/90z9l+/bt7Nq1i/e///1LfIVCCLH8mEt9AUII\nIRbGM888w6OPPsrzzz+P7/vs3buXa665hj/4gz/g8OHDOI7D2NjYUl+mEEIsO7KDLIQQK9STTz7J\ne97zHuLxOOl0mttvvx2AXbt28cEPfpAvf/nLmKbskwghxNkkQBZCiFXmiSee4CMf+QjPPvss+/fv\nx/f9pb4kIYRYViRAFkKIFeptb3sbjz/+OKVSicnJSb72ta8RhiF9fX3cfPPNfO5zn2N8fJx8Pr/U\nlyqEEMuKnK0JIcQKtXfvXt73vvexe/du2tra2L9/P5qm8Su/8iuMj4+jlOL+++8nm80u9aUKIcSy\noiml1FJfhBBCCCGEEMuFpFgIIYQQQggxjQTIQgghhBBCTCMBshBCCCGEENNIgCyEEEIIIcQ0EiAL\nIYQQQggxjQTIQgghhBBCTCMBshBCCCGEENP8/0K8/psUV/9xAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x114d04390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m=Prophet(yearly_seasonality=True)\n",
    "m.fit(bitcoin)\n",
    "future=m.make_future_dataframe(periods=90,freq='D')\n",
    "forecast=m.predict(future)\n",
    "plt.figure(figsize=(90,30))\n",
    "fig=m.plot(forecast)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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>bitcoin close Value</th>\n",
       "      <th>Lower</th>\n",
       "      <th>Upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2761</th>\n",
       "      <td>2018-02-07 04:20:00</td>\n",
       "      <td>8533.407460</td>\n",
       "      <td>6972.203254</td>\n",
       "      <td>9972.030142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2762</th>\n",
       "      <td>2018-02-08 04:20:00</td>\n",
       "      <td>8533.380638</td>\n",
       "      <td>7076.238943</td>\n",
       "      <td>9890.212991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2763</th>\n",
       "      <td>2018-02-09 04:20:00</td>\n",
       "      <td>8539.536495</td>\n",
       "      <td>7032.556904</td>\n",
       "      <td>10108.535868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2764</th>\n",
       "      <td>2018-02-10 04:20:00</td>\n",
       "      <td>8553.919969</td>\n",
       "      <td>7080.099947</td>\n",
       "      <td>9963.663536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2765</th>\n",
       "      <td>2018-02-11 04:20:00</td>\n",
       "      <td>8557.227612</td>\n",
       "      <td>7009.643855</td>\n",
       "      <td>10095.872499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2766</th>\n",
       "      <td>2018-02-12 04:20:00</td>\n",
       "      <td>8569.244141</td>\n",
       "      <td>7079.657939</td>\n",
       "      <td>10060.276068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2767</th>\n",
       "      <td>2018-02-13 04:20:00</td>\n",
       "      <td>8578.828377</td>\n",
       "      <td>7080.473426</td>\n",
       "      <td>10147.527092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2768</th>\n",
       "      <td>2018-02-14 04:20:00</td>\n",
       "      <td>8607.147279</td>\n",
       "      <td>7031.228165</td>\n",
       "      <td>10091.351968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2769</th>\n",
       "      <td>2018-02-15 04:20:00</td>\n",
       "      <td>8625.752317</td>\n",
       "      <td>7149.512842</td>\n",
       "      <td>10124.489645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2770</th>\n",
       "      <td>2018-02-16 04:20:00</td>\n",
       "      <td>8649.279180</td>\n",
       "      <td>7215.583125</td>\n",
       "      <td>10154.606552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2771</th>\n",
       "      <td>2018-02-17 04:20:00</td>\n",
       "      <td>8679.492422</td>\n",
       "      <td>7155.466060</td>\n",
       "      <td>10299.167029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2772</th>\n",
       "      <td>2018-02-18 04:20:00</td>\n",
       "      <td>8696.847591</td>\n",
       "      <td>7198.925490</td>\n",
       "      <td>10100.431947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2773</th>\n",
       "      <td>2018-02-19 04:20:00</td>\n",
       "      <td>8720.933100</td>\n",
       "      <td>7354.366014</td>\n",
       "      <td>10202.557167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2774</th>\n",
       "      <td>2018-02-20 04:20:00</td>\n",
       "      <td>8740.460251</td>\n",
       "      <td>7193.057095</td>\n",
       "      <td>10262.900400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2775</th>\n",
       "      <td>2018-02-21 04:20:00</td>\n",
       "      <td>8776.500036</td>\n",
       "      <td>7353.302649</td>\n",
       "      <td>10264.954077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2776</th>\n",
       "      <td>2018-02-22 04:20:00</td>\n",
       "      <td>8800.560880</td>\n",
       "      <td>7309.081592</td>\n",
       "      <td>10224.347710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2777</th>\n",
       "      <td>2018-02-23 04:20:00</td>\n",
       "      <td>8827.288332</td>\n",
       "      <td>7324.251548</td>\n",
       "      <td>10317.353242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2778</th>\n",
       "      <td>2018-02-24 04:20:00</td>\n",
       "      <td>8858.508309</td>\n",
       "      <td>7432.010905</td>\n",
       "      <td>10350.419272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2779</th>\n",
       "      <td>2018-02-25 04:20:00</td>\n",
       "      <td>8874.786500</td>\n",
       "      <td>7466.500648</td>\n",
       "      <td>10544.752209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2780</th>\n",
       "      <td>2018-02-26 04:20:00</td>\n",
       "      <td>8895.866305</td>\n",
       "      <td>7402.488356</td>\n",
       "      <td>10316.554484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2781</th>\n",
       "      <td>2018-02-27 04:20:00</td>\n",
       "      <td>8910.653818</td>\n",
       "      <td>7513.178574</td>\n",
       "      <td>10412.638874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2782</th>\n",
       "      <td>2018-02-28 04:20:00</td>\n",
       "      <td>8940.448651</td>\n",
       "      <td>7357.853096</td>\n",
       "      <td>10352.278679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2783</th>\n",
       "      <td>2018-03-01 04:20:00</td>\n",
       "      <td>8957.014939</td>\n",
       "      <td>7506.034014</td>\n",
       "      <td>10458.516531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2784</th>\n",
       "      <td>2018-03-02 04:20:00</td>\n",
       "      <td>8975.273729</td>\n",
       "      <td>7474.312321</td>\n",
       "      <td>10458.359376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2785</th>\n",
       "      <td>2018-03-03 04:20:00</td>\n",
       "      <td>8997.338562</td>\n",
       "      <td>7601.862020</td>\n",
       "      <td>10516.484962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2786</th>\n",
       "      <td>2018-03-04 04:20:00</td>\n",
       "      <td>9004.067085</td>\n",
       "      <td>7503.406377</td>\n",
       "      <td>10437.379019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2787</th>\n",
       "      <td>2018-03-05 04:20:00</td>\n",
       "      <td>9015.491269</td>\n",
       "      <td>7497.755756</td>\n",
       "      <td>10475.010678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2788</th>\n",
       "      <td>2018-03-06 04:20:00</td>\n",
       "      <td>9020.794953</td>\n",
       "      <td>7522.703428</td>\n",
       "      <td>10585.470920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2789</th>\n",
       "      <td>2018-03-07 04:20:00</td>\n",
       "      <td>9041.537726</td>\n",
       "      <td>7650.203041</td>\n",
       "      <td>10512.010807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2790</th>\n",
       "      <td>2018-03-08 04:20:00</td>\n",
       "      <td>9049.719646</td>\n",
       "      <td>7664.631223</td>\n",
       "      <td>10598.448683</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>2821</th>\n",
       "      <td>2018-04-08 04:20:00</td>\n",
       "      <td>9511.454128</td>\n",
       "      <td>8094.981614</td>\n",
       "      <td>11028.105634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2822</th>\n",
       "      <td>2018-04-09 04:20:00</td>\n",
       "      <td>9524.677610</td>\n",
       "      <td>7973.343275</td>\n",
       "      <td>11021.378233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2823</th>\n",
       "      <td>2018-04-10 04:20:00</td>\n",
       "      <td>9532.500782</td>\n",
       "      <td>7980.149830</td>\n",
       "      <td>10992.705442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2824</th>\n",
       "      <td>2018-04-11 04:20:00</td>\n",
       "      <td>9556.404552</td>\n",
       "      <td>8107.513667</td>\n",
       "      <td>11022.422858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2825</th>\n",
       "      <td>2018-04-12 04:20:00</td>\n",
       "      <td>9568.302468</td>\n",
       "      <td>8135.669956</td>\n",
       "      <td>11036.560178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2826</th>\n",
       "      <td>2018-04-13 04:20:00</td>\n",
       "      <td>9583.230294</td>\n",
       "      <td>8114.182673</td>\n",
       "      <td>10986.184245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2827</th>\n",
       "      <td>2018-04-14 04:20:00</td>\n",
       "      <td>9603.379711</td>\n",
       "      <td>8068.027584</td>\n",
       "      <td>11172.115009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2828</th>\n",
       "      <td>2018-04-15 04:20:00</td>\n",
       "      <td>9609.648977</td>\n",
       "      <td>8068.099414</td>\n",
       "      <td>11161.068381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2829</th>\n",
       "      <td>2018-04-16 04:20:00</td>\n",
       "      <td>9622.073177</td>\n",
       "      <td>8189.607435</td>\n",
       "      <td>11116.157579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2830</th>\n",
       "      <td>2018-04-17 04:20:00</td>\n",
       "      <td>9629.802777</td>\n",
       "      <td>8244.421190</td>\n",
       "      <td>11145.078418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2831</th>\n",
       "      <td>2018-04-18 04:20:00</td>\n",
       "      <td>9654.329426</td>\n",
       "      <td>8229.358711</td>\n",
       "      <td>11181.269807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2832</th>\n",
       "      <td>2018-04-19 04:20:00</td>\n",
       "      <td>9667.553489</td>\n",
       "      <td>8165.546575</td>\n",
       "      <td>11192.122507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2833</th>\n",
       "      <td>2018-04-20 04:20:00</td>\n",
       "      <td>9684.474574</td>\n",
       "      <td>8212.595039</td>\n",
       "      <td>11138.100311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2834</th>\n",
       "      <td>2018-04-21 04:20:00</td>\n",
       "      <td>9707.226903</td>\n",
       "      <td>8112.311734</td>\n",
       "      <td>11200.717530</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2835</th>\n",
       "      <td>2018-04-22 04:20:00</td>\n",
       "      <td>9716.632334</td>\n",
       "      <td>8258.979634</td>\n",
       "      <td>11183.038739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2836</th>\n",
       "      <td>2018-04-23 04:20:00</td>\n",
       "      <td>9732.633540</td>\n",
       "      <td>8235.747170</td>\n",
       "      <td>11146.657417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2837</th>\n",
       "      <td>2018-04-24 04:20:00</td>\n",
       "      <td>9744.275980</td>\n",
       "      <td>8270.684742</td>\n",
       "      <td>11260.171593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2838</th>\n",
       "      <td>2018-04-25 04:20:00</td>\n",
       "      <td>9772.937484</td>\n",
       "      <td>8272.503199</td>\n",
       "      <td>11241.142162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2839</th>\n",
       "      <td>2018-04-26 04:20:00</td>\n",
       "      <td>9790.399793</td>\n",
       "      <td>8298.699038</td>\n",
       "      <td>11282.319563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2840</th>\n",
       "      <td>2018-04-27 04:20:00</td>\n",
       "      <td>9811.543198</td>\n",
       "      <td>8339.306761</td>\n",
       "      <td>11227.972598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2841</th>\n",
       "      <td>2018-04-28 04:20:00</td>\n",
       "      <td>9838.385985</td>\n",
       "      <td>8363.401964</td>\n",
       "      <td>11376.777031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2842</th>\n",
       "      <td>2018-04-29 04:20:00</td>\n",
       "      <td>9851.641357</td>\n",
       "      <td>8275.069690</td>\n",
       "      <td>11354.551002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2843</th>\n",
       "      <td>2018-04-30 04:20:00</td>\n",
       "      <td>9871.154227</td>\n",
       "      <td>8330.880777</td>\n",
       "      <td>11350.018551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2844</th>\n",
       "      <td>2018-05-01 04:20:00</td>\n",
       "      <td>9885.886372</td>\n",
       "      <td>8557.997045</td>\n",
       "      <td>11375.856692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2845</th>\n",
       "      <td>2018-05-02 04:20:00</td>\n",
       "      <td>9917.148703</td>\n",
       "      <td>8434.395166</td>\n",
       "      <td>11342.384012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2846</th>\n",
       "      <td>2018-05-03 04:20:00</td>\n",
       "      <td>9936.674888</td>\n",
       "      <td>8383.954625</td>\n",
       "      <td>11471.030476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2847</th>\n",
       "      <td>2018-05-04 04:20:00</td>\n",
       "      <td>9959.317405</td>\n",
       "      <td>8510.831774</td>\n",
       "      <td>11434.000708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2848</th>\n",
       "      <td>2018-05-05 04:20:00</td>\n",
       "      <td>9987.087708</td>\n",
       "      <td>8391.212987</td>\n",
       "      <td>11405.820287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2849</th>\n",
       "      <td>2018-05-06 04:20:00</td>\n",
       "      <td>10000.713143</td>\n",
       "      <td>8536.790208</td>\n",
       "      <td>11543.805329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2850</th>\n",
       "      <td>2018-05-07 04:20:00</td>\n",
       "      <td>10020.073013</td>\n",
       "      <td>8655.286790</td>\n",
       "      <td>11456.681146</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Date  bitcoin close Value        Lower         Upper\n",
       "2761 2018-02-07 04:20:00          8533.407460  6972.203254   9972.030142\n",
       "2762 2018-02-08 04:20:00          8533.380638  7076.238943   9890.212991\n",
       "2763 2018-02-09 04:20:00          8539.536495  7032.556904  10108.535868\n",
       "2764 2018-02-10 04:20:00          8553.919969  7080.099947   9963.663536\n",
       "2765 2018-02-11 04:20:00          8557.227612  7009.643855  10095.872499\n",
       "2766 2018-02-12 04:20:00          8569.244141  7079.657939  10060.276068\n",
       "2767 2018-02-13 04:20:00          8578.828377  7080.473426  10147.527092\n",
       "2768 2018-02-14 04:20:00          8607.147279  7031.228165  10091.351968\n",
       "2769 2018-02-15 04:20:00          8625.752317  7149.512842  10124.489645\n",
       "2770 2018-02-16 04:20:00          8649.279180  7215.583125  10154.606552\n",
       "2771 2018-02-17 04:20:00          8679.492422  7155.466060  10299.167029\n",
       "2772 2018-02-18 04:20:00          8696.847591  7198.925490  10100.431947\n",
       "2773 2018-02-19 04:20:00          8720.933100  7354.366014  10202.557167\n",
       "2774 2018-02-20 04:20:00          8740.460251  7193.057095  10262.900400\n",
       "2775 2018-02-21 04:20:00          8776.500036  7353.302649  10264.954077\n",
       "2776 2018-02-22 04:20:00          8800.560880  7309.081592  10224.347710\n",
       "2777 2018-02-23 04:20:00          8827.288332  7324.251548  10317.353242\n",
       "2778 2018-02-24 04:20:00          8858.508309  7432.010905  10350.419272\n",
       "2779 2018-02-25 04:20:00          8874.786500  7466.500648  10544.752209\n",
       "2780 2018-02-26 04:20:00          8895.866305  7402.488356  10316.554484\n",
       "2781 2018-02-27 04:20:00          8910.653818  7513.178574  10412.638874\n",
       "2782 2018-02-28 04:20:00          8940.448651  7357.853096  10352.278679\n",
       "2783 2018-03-01 04:20:00          8957.014939  7506.034014  10458.516531\n",
       "2784 2018-03-02 04:20:00          8975.273729  7474.312321  10458.359376\n",
       "2785 2018-03-03 04:20:00          8997.338562  7601.862020  10516.484962\n",
       "2786 2018-03-04 04:20:00          9004.067085  7503.406377  10437.379019\n",
       "2787 2018-03-05 04:20:00          9015.491269  7497.755756  10475.010678\n",
       "2788 2018-03-06 04:20:00          9020.794953  7522.703428  10585.470920\n",
       "2789 2018-03-07 04:20:00          9041.537726  7650.203041  10512.010807\n",
       "2790 2018-03-08 04:20:00          9049.719646  7664.631223  10598.448683\n",
       "...                  ...                  ...          ...           ...\n",
       "2821 2018-04-08 04:20:00          9511.454128  8094.981614  11028.105634\n",
       "2822 2018-04-09 04:20:00          9524.677610  7973.343275  11021.378233\n",
       "2823 2018-04-10 04:20:00          9532.500782  7980.149830  10992.705442\n",
       "2824 2018-04-11 04:20:00          9556.404552  8107.513667  11022.422858\n",
       "2825 2018-04-12 04:20:00          9568.302468  8135.669956  11036.560178\n",
       "2826 2018-04-13 04:20:00          9583.230294  8114.182673  10986.184245\n",
       "2827 2018-04-14 04:20:00          9603.379711  8068.027584  11172.115009\n",
       "2828 2018-04-15 04:20:00          9609.648977  8068.099414  11161.068381\n",
       "2829 2018-04-16 04:20:00          9622.073177  8189.607435  11116.157579\n",
       "2830 2018-04-17 04:20:00          9629.802777  8244.421190  11145.078418\n",
       "2831 2018-04-18 04:20:00          9654.329426  8229.358711  11181.269807\n",
       "2832 2018-04-19 04:20:00          9667.553489  8165.546575  11192.122507\n",
       "2833 2018-04-20 04:20:00          9684.474574  8212.595039  11138.100311\n",
       "2834 2018-04-21 04:20:00          9707.226903  8112.311734  11200.717530\n",
       "2835 2018-04-22 04:20:00          9716.632334  8258.979634  11183.038739\n",
       "2836 2018-04-23 04:20:00          9732.633540  8235.747170  11146.657417\n",
       "2837 2018-04-24 04:20:00          9744.275980  8270.684742  11260.171593\n",
       "2838 2018-04-25 04:20:00          9772.937484  8272.503199  11241.142162\n",
       "2839 2018-04-26 04:20:00          9790.399793  8298.699038  11282.319563\n",
       "2840 2018-04-27 04:20:00          9811.543198  8339.306761  11227.972598\n",
       "2841 2018-04-28 04:20:00          9838.385985  8363.401964  11376.777031\n",
       "2842 2018-04-29 04:20:00          9851.641357  8275.069690  11354.551002\n",
       "2843 2018-04-30 04:20:00          9871.154227  8330.880777  11350.018551\n",
       "2844 2018-05-01 04:20:00          9885.886372  8557.997045  11375.856692\n",
       "2845 2018-05-02 04:20:00          9917.148703  8434.395166  11342.384012\n",
       "2846 2018-05-03 04:20:00          9936.674888  8383.954625  11471.030476\n",
       "2847 2018-05-04 04:20:00          9959.317405  8510.831774  11434.000708\n",
       "2848 2018-05-05 04:20:00          9987.087708  8391.212987  11405.820287\n",
       "2849 2018-05-06 04:20:00         10000.713143  8536.790208  11543.805329\n",
       "2850 2018-05-07 04:20:00         10020.073013  8655.286790  11456.681146\n",
       "\n",
       "[90 rows x 4 columns]"
      ]
     },
     "execution_count": 95,
     "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':'bitcoin close Value','yhat_lower':'Lower','yhat_upper':'Upper'},inplace=True)\n",
    "next_90\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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