Zcash Price Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 103,
   "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": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Price</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Vol.</th>\n",
       "      <th>Change %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>29-Oct-16</td>\n",
       "      <td>1,900.00</td>\n",
       "      <td>5,000.00</td>\n",
       "      <td>9,000.00</td>\n",
       "      <td>1,900.00</td>\n",
       "      <td>0.01K</td>\n",
       "      <td>-62.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>30-Oct-16</td>\n",
       "      <td>604.39001</td>\n",
       "      <td>1,900.00</td>\n",
       "      <td>2,400.00</td>\n",
       "      <td>404.85001</td>\n",
       "      <td>0.02K</td>\n",
       "      <td>-68.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>31-Oct-16</td>\n",
       "      <td>1,644.62</td>\n",
       "      <td>604.39001</td>\n",
       "      <td>2,502.78</td>\n",
       "      <td>404.85001</td>\n",
       "      <td>0.05K</td>\n",
       "      <td>172.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>1-Nov-16</td>\n",
       "      <td>1,373.00</td>\n",
       "      <td>1,644.62</td>\n",
       "      <td>2,080.88</td>\n",
       "      <td>1,047.45</td>\n",
       "      <td>0.06K</td>\n",
       "      <td>-16.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>2-Nov-16</td>\n",
       "      <td>975.52002</td>\n",
       "      <td>1,373.00</td>\n",
       "      <td>1,500.00</td>\n",
       "      <td>851</td>\n",
       "      <td>0.08K</td>\n",
       "      <td>-28.95</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date      Price       Open      High        Low   Vol.  Change %\n",
       "466  29-Oct-16   1,900.00   5,000.00  9,000.00   1,900.00  0.01K    -62.00\n",
       "465  30-Oct-16  604.39001   1,900.00  2,400.00  404.85001  0.02K    -68.19\n",
       "464  31-Oct-16   1,644.62  604.39001  2,502.78  404.85001  0.05K    172.11\n",
       "463   1-Nov-16   1,373.00   1,644.62  2,080.88   1,047.45  0.06K    -16.52\n",
       "462   2-Nov-16  975.52002   1,373.00  1,500.00        851  0.08K    -28.95"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "zcash=pd.read_csv('zcash.csv')\n",
    "zcash=zcash[::-1]\n",
    "zcash.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>Price</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Vol.</th>\n",
       "      <th>Change %</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9-Jan-18</td>\n",
       "      <td>664</td>\n",
       "      <td>686.66711</td>\n",
       "      <td>720.34412</td>\n",
       "      <td>630.09998</td>\n",
       "      <td>6.89K</td>\n",
       "      <td>-4.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>10-Jan-18</td>\n",
       "      <td>714</td>\n",
       "      <td>660.00146</td>\n",
       "      <td>720</td>\n",
       "      <td>613.33301</td>\n",
       "      <td>5.78K</td>\n",
       "      <td>7.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>11-Jan-18</td>\n",
       "      <td>642</td>\n",
       "      <td>711.00684</td>\n",
       "      <td>729</td>\n",
       "      <td>585</td>\n",
       "      <td>7.26K</td>\n",
       "      <td>-10.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>12-Jan-18</td>\n",
       "      <td>692.27698</td>\n",
       "      <td>643</td>\n",
       "      <td>711.98834</td>\n",
       "      <td>608</td>\n",
       "      <td>4.95K</td>\n",
       "      <td>7.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>13-Jan-18</td>\n",
       "      <td>693.92859</td>\n",
       "      <td>698.14001</td>\n",
       "      <td>720</td>\n",
       "      <td>682.37695</td>\n",
       "      <td>4.01K</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>14-Jan-18</td>\n",
       "      <td>662</td>\n",
       "      <td>693.92859</td>\n",
       "      <td>714.95001</td>\n",
       "      <td>631.23425</td>\n",
       "      <td>4.51K</td>\n",
       "      <td>-4.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>15-Jan-18</td>\n",
       "      <td>620</td>\n",
       "      <td>662</td>\n",
       "      <td>685</td>\n",
       "      <td>620</td>\n",
       "      <td>2.89K</td>\n",
       "      <td>-6.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>16-Jan-18</td>\n",
       "      <td>502</td>\n",
       "      <td>620</td>\n",
       "      <td>679.84998</td>\n",
       "      <td>445</td>\n",
       "      <td>15.35K</td>\n",
       "      <td>-19.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>17-Jan-18</td>\n",
       "      <td>493</td>\n",
       "      <td>502</td>\n",
       "      <td>529</td>\n",
       "      <td>395.85001</td>\n",
       "      <td>7.70K</td>\n",
       "      <td>-1.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>18-Jan-18</td>\n",
       "      <td>481.99969</td>\n",
       "      <td>493</td>\n",
       "      <td>534.99939</td>\n",
       "      <td>469.5</td>\n",
       "      <td>5.21K</td>\n",
       "      <td>-2.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19-Jan-18</td>\n",
       "      <td>519.19495</td>\n",
       "      <td>481.99969</td>\n",
       "      <td>549</td>\n",
       "      <td>466.63156</td>\n",
       "      <td>4.37K</td>\n",
       "      <td>7.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20-Jan-18</td>\n",
       "      <td>555.9325</td>\n",
       "      <td>519.19495</td>\n",
       "      <td>563.04773</td>\n",
       "      <td>511.2178</td>\n",
       "      <td>4.78K</td>\n",
       "      <td>7.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>21-Jan-18</td>\n",
       "      <td>483.46948</td>\n",
       "      <td>555.9325</td>\n",
       "      <td>556.80341</td>\n",
       "      <td>469</td>\n",
       "      <td>2.30K</td>\n",
       "      <td>-13.03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>22-Jan-18</td>\n",
       "      <td>441.7785</td>\n",
       "      <td>483.46948</td>\n",
       "      <td>506.99948</td>\n",
       "      <td>405.70001</td>\n",
       "      <td>2.35K</td>\n",
       "      <td>-8.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>23-Jan-18</td>\n",
       "      <td>439.56</td>\n",
       "      <td>441.7785</td>\n",
       "      <td>467</td>\n",
       "      <td>401.12</td>\n",
       "      <td>3.40K</td>\n",
       "      <td>-0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>24-Jan-18</td>\n",
       "      <td>456</td>\n",
       "      <td>439.56</td>\n",
       "      <td>466.42999</td>\n",
       "      <td>422</td>\n",
       "      <td>1.49K</td>\n",
       "      <td>3.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>25-Jan-18</td>\n",
       "      <td>465.13889</td>\n",
       "      <td>456</td>\n",
       "      <td>476.60681</td>\n",
       "      <td>446.48041</td>\n",
       "      <td>1.65K</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>26-Jan-18</td>\n",
       "      <td>453.23651</td>\n",
       "      <td>465.13889</td>\n",
       "      <td>491.12286</td>\n",
       "      <td>423.47</td>\n",
       "      <td>3.42K</td>\n",
       "      <td>-2.56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>27-Jan-18</td>\n",
       "      <td>452.10001</td>\n",
       "      <td>453.23651</td>\n",
       "      <td>464.27817</td>\n",
       "      <td>433.04837</td>\n",
       "      <td>1.43K</td>\n",
       "      <td>-0.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>28-Jan-18</td>\n",
       "      <td>477</td>\n",
       "      <td>452.10001</td>\n",
       "      <td>485.51999</td>\n",
       "      <td>452.10001</td>\n",
       "      <td>3.36K</td>\n",
       "      <td>5.51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>29-Jan-18</td>\n",
       "      <td>449.20001</td>\n",
       "      <td>477</td>\n",
       "      <td>481.01196</td>\n",
       "      <td>443.34323</td>\n",
       "      <td>1.73K</td>\n",
       "      <td>-5.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>30-Jan-18</td>\n",
       "      <td>380.888</td>\n",
       "      <td>449.20001</td>\n",
       "      <td>449.20001</td>\n",
       "      <td>380</td>\n",
       "      <td>2.79K</td>\n",
       "      <td>-15.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>31-Jan-18</td>\n",
       "      <td>398.97</td>\n",
       "      <td>380.888</td>\n",
       "      <td>400</td>\n",
       "      <td>362.75</td>\n",
       "      <td>2.69K</td>\n",
       "      <td>4.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1-Feb-18</td>\n",
       "      <td>403</td>\n",
       "      <td>398.97</td>\n",
       "      <td>420</td>\n",
       "      <td>371.12451</td>\n",
       "      <td>4.93K</td>\n",
       "      <td>1.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2-Feb-18</td>\n",
       "      <td>383</td>\n",
       "      <td>403</td>\n",
       "      <td>405.50009</td>\n",
       "      <td>313</td>\n",
       "      <td>9.02K</td>\n",
       "      <td>-4.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3-Feb-18</td>\n",
       "      <td>385.21521</td>\n",
       "      <td>383</td>\n",
       "      <td>406.26117</td>\n",
       "      <td>344.87531</td>\n",
       "      <td>2.85K</td>\n",
       "      <td>0.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4-Feb-18</td>\n",
       "      <td>337.59225</td>\n",
       "      <td>385.21521</td>\n",
       "      <td>403.23499</td>\n",
       "      <td>328.04001</td>\n",
       "      <td>1.82K</td>\n",
       "      <td>-12.36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5-Feb-18</td>\n",
       "      <td>307.23126</td>\n",
       "      <td>337.59225</td>\n",
       "      <td>349.3786</td>\n",
       "      <td>280</td>\n",
       "      <td>5.85K</td>\n",
       "      <td>-8.99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6-Feb-18</td>\n",
       "      <td>367.89453</td>\n",
       "      <td>307.23126</td>\n",
       "      <td>379.98001</td>\n",
       "      <td>258.96927</td>\n",
       "      <td>13.22K</td>\n",
       "      <td>19.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7-Feb-18</td>\n",
       "      <td>370.61002</td>\n",
       "      <td>367.89453</td>\n",
       "      <td>395.73032</td>\n",
       "      <td>325.0083</td>\n",
       "      <td>7.75K</td>\n",
       "      <td>0.74</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date      Price       Open       High        Low    Vol.  Change %\n",
       "29   9-Jan-18        664  686.66711  720.34412  630.09998   6.89K     -4.27\n",
       "28  10-Jan-18        714  660.00146        720  613.33301   5.78K      7.53\n",
       "27  11-Jan-18        642  711.00684        729        585   7.26K    -10.08\n",
       "26  12-Jan-18  692.27698        643  711.98834        608   4.95K      7.83\n",
       "25  13-Jan-18  693.92859  698.14001        720  682.37695   4.01K      0.24\n",
       "24  14-Jan-18        662  693.92859  714.95001  631.23425   4.51K     -4.60\n",
       "23  15-Jan-18        620        662        685        620   2.89K     -6.34\n",
       "22  16-Jan-18        502        620  679.84998        445  15.35K    -19.03\n",
       "21  17-Jan-18        493        502        529  395.85001   7.70K     -1.79\n",
       "20  18-Jan-18  481.99969        493  534.99939      469.5   5.21K     -2.23\n",
       "19  19-Jan-18  519.19495  481.99969        549  466.63156   4.37K      7.72\n",
       "18  20-Jan-18   555.9325  519.19495  563.04773   511.2178   4.78K      7.08\n",
       "17  21-Jan-18  483.46948   555.9325  556.80341        469   2.30K    -13.03\n",
       "16  22-Jan-18   441.7785  483.46948  506.99948  405.70001   2.35K     -8.62\n",
       "15  23-Jan-18     439.56   441.7785        467     401.12   3.40K     -0.50\n",
       "14  24-Jan-18        456     439.56  466.42999        422   1.49K      3.74\n",
       "13  25-Jan-18  465.13889        456  476.60681  446.48041   1.65K      2.00\n",
       "12  26-Jan-18  453.23651  465.13889  491.12286     423.47   3.42K     -2.56\n",
       "11  27-Jan-18  452.10001  453.23651  464.27817  433.04837   1.43K     -0.25\n",
       "10  28-Jan-18        477  452.10001  485.51999  452.10001   3.36K      5.51\n",
       "9   29-Jan-18  449.20001        477  481.01196  443.34323   1.73K     -5.83\n",
       "8   30-Jan-18    380.888  449.20001  449.20001        380   2.79K    -15.21\n",
       "7   31-Jan-18     398.97    380.888        400     362.75   2.69K      4.75\n",
       "6    1-Feb-18        403     398.97        420  371.12451   4.93K      1.01\n",
       "5    2-Feb-18        383        403  405.50009        313   9.02K     -4.96\n",
       "4    3-Feb-18  385.21521        383  406.26117  344.87531   2.85K      0.58\n",
       "3    4-Feb-18  337.59225  385.21521  403.23499  328.04001   1.82K    -12.36\n",
       "2    5-Feb-18  307.23126  337.59225   349.3786        280   5.85K     -8.99\n",
       "1    6-Feb-18  367.89453  307.23126  379.98001  258.96927  13.22K     19.75\n",
       "0    7-Feb-18  370.61002  367.89453  395.73032   325.0083   7.75K      0.74"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zcash.tail(30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 467 entries, 466 to 0\n",
      "Data columns (total 7 columns):\n",
      "Date        467 non-null object\n",
      "Price       467 non-null object\n",
      "Open        467 non-null object\n",
      "High        467 non-null object\n",
      "Low         467 non-null object\n",
      "Vol.        467 non-null object\n",
      "Change %    467 non-null float64\n",
      "dtypes: float64(1), object(6)\n",
      "memory usage: 25.6+ KB\n"
     ]
    }
   ],
   "source": [
    "zcash['Price']=zcash['Price'].str.replace(',','')\n",
    "zcash.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 467 entries, 2016-10-29 to 2018-02-07\n",
      "Data columns (total 6 columns):\n",
      "Price       467 non-null float64\n",
      "Open        467 non-null object\n",
      "High        467 non-null object\n",
      "Low         467 non-null object\n",
      "Vol.        467 non-null object\n",
      "Change %    467 non-null float64\n",
      "dtypes: float64(2), object(4)\n",
      "memory usage: 25.5+ KB\n"
     ]
    }
   ],
   "source": [
    "zcash['Price']=zcash['Price'].astype(float)\n",
    "zcash['Date']=pd.to_datetime(zcash['Date'])\n",
    "zcash.set_index('Date',inplace=True)\n",
    "zcash.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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6XdXdGdNba/PLD3ufHNfxb6YFU4a1vj5/5ki2FFWxrejI6oZwUlbTSGX9oR9T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\nIGZBwBhjBrH/Dx51JVhjk2iGAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a20733400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a207332e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "zcash['Price'].plot(title='Zcash Historical Price')\n",
    "plt.figure(figsize=(50,20))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "zcash.reset_index(inplace=True)\n",
    "zcash.rename(columns={'Date':'ds','Price':'y'},inplace=True)\n",
    "zcash=zcash[['ds','y']]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a20711828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EzlCu59OTyJAXCmCO0VHR+VaQWMrF83z6Ehk8z6elP5XT5xhaOR5aDZ/ItccHTfwRioiI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YQQRycB8ggqzEPOZrM8dM9dvPzi84c8T9c0PrJ4fH6xSsb2WNucoDd74Ev1a09u4eZfvzqg4Ui/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\n3juIoggAgBFkAAAYQQYAgAlcmur5WXAwdAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1a206fd9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m=Prophet(yearly_seasonality=True)\n",
    "m.fit(zcash)\n",
    "future=m.make_future_dataframe(periods=180,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": 111,
   "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>zcash price</th>\n",
       "      <th>Lower</th>\n",
       "      <th>Upper</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>2018-02-08</td>\n",
       "      <td>482.838663</td>\n",
       "      <td>350.932101</td>\n",
       "      <td>612.118295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>2018-02-09</td>\n",
       "      <td>483.262424</td>\n",
       "      <td>358.822748</td>\n",
       "      <td>615.446582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>2018-02-10</td>\n",
       "      <td>507.802673</td>\n",
       "      <td>373.250197</td>\n",
       "      <td>647.138122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>2018-02-11</td>\n",
       "      <td>492.589531</td>\n",
       "      <td>358.315629</td>\n",
       "      <td>629.275929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>2018-02-12</td>\n",
       "      <td>512.735798</td>\n",
       "      <td>384.940479</td>\n",
       "      <td>636.882208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>2018-02-13</td>\n",
       "      <td>518.934664</td>\n",
       "      <td>387.001398</td>\n",
       "      <td>647.353109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>2018-02-14</td>\n",
       "      <td>524.134481</td>\n",
       "      <td>384.631632</td>\n",
       "      <td>651.104549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>2018-02-15</td>\n",
       "      <td>529.433169</td>\n",
       "      <td>399.096383</td>\n",
       "      <td>653.270899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>2018-02-16</td>\n",
       "      <td>530.013191</td>\n",
       "      <td>404.108582</td>\n",
       "      <td>670.973675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>2018-02-17</td>\n",
       "      <td>553.692571</td>\n",
       "      <td>416.841695</td>\n",
       "      <td>694.716945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>2018-02-18</td>\n",
       "      <td>536.659523</td>\n",
       "      <td>400.743343</td>\n",
       "      <td>670.700619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>2018-02-19</td>\n",
       "      <td>554.108651</td>\n",
       "      <td>414.342654</td>\n",
       "      <td>688.021012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>2018-02-20</td>\n",
       "      <td>556.836080</td>\n",
       "      <td>412.308657</td>\n",
       "      <td>690.123891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>2018-02-21</td>\n",
       "      <td>557.911089</td>\n",
       "      <td>421.037820</td>\n",
       "      <td>686.477284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>2018-02-22</td>\n",
       "      <td>558.566921</td>\n",
       "      <td>431.873008</td>\n",
       "      <td>691.173095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>2018-02-23</td>\n",
       "      <td>554.131813</td>\n",
       "      <td>411.075739</td>\n",
       "      <td>690.861952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>2018-02-24</td>\n",
       "      <td>572.575823</td>\n",
       "      <td>441.602584</td>\n",
       "      <td>694.531174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>2018-02-25</td>\n",
       "      <td>550.241156</td>\n",
       "      <td>414.406940</td>\n",
       "      <td>687.694284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>2018-02-26</td>\n",
       "      <td>562.474061</td>\n",
       "      <td>424.311743</td>\n",
       "      <td>689.195167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>2018-02-27</td>\n",
       "      <td>560.215781</td>\n",
       "      <td>422.489240</td>\n",
       "      <td>699.660554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>2018-02-28</td>\n",
       "      <td>556.670251</td>\n",
       "      <td>417.312319</td>\n",
       "      <td>679.940142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>2018-03-01</td>\n",
       "      <td>553.191326</td>\n",
       "      <td>412.380180</td>\n",
       "      <td>685.517979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>2018-03-02</td>\n",
       "      <td>545.210668</td>\n",
       "      <td>415.966417</td>\n",
       "      <td>684.629059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>2018-03-03</td>\n",
       "      <td>560.781977</td>\n",
       "      <td>417.542087</td>\n",
       "      <td>688.939864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>2018-03-04</td>\n",
       "      <td>536.309310</td>\n",
       "      <td>394.842115</td>\n",
       "      <td>670.511947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>2018-03-05</td>\n",
       "      <td>547.177631</td>\n",
       "      <td>408.743355</td>\n",
       "      <td>675.349951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>2018-03-06</td>\n",
       "      <td>544.343094</td>\n",
       "      <td>416.616494</td>\n",
       "      <td>678.819862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>2018-03-07</td>\n",
       "      <td>541.000775</td>\n",
       "      <td>397.482027</td>\n",
       "      <td>674.089380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>2018-03-08</td>\n",
       "      <td>538.472606</td>\n",
       "      <td>401.467763</td>\n",
       "      <td>668.653437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>2018-03-09</td>\n",
       "      <td>532.136641</td>\n",
       "      <td>400.933981</td>\n",
       "      <td>667.477427</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>617</th>\n",
       "      <td>2018-07-08</td>\n",
       "      <td>749.919853</td>\n",
       "      <td>458.697879</td>\n",
       "      <td>1016.496911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>2018-07-09</td>\n",
       "      <td>756.281806</td>\n",
       "      <td>473.192037</td>\n",
       "      <td>1056.787629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>619</th>\n",
       "      <td>2018-07-10</td>\n",
       "      <td>748.771702</td>\n",
       "      <td>469.120474</td>\n",
       "      <td>1037.528654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>2018-07-11</td>\n",
       "      <td>740.515924</td>\n",
       "      <td>448.962682</td>\n",
       "      <td>1017.304579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>2018-07-12</td>\n",
       "      <td>732.784229</td>\n",
       "      <td>439.256682</td>\n",
       "      <td>1027.945424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>2018-07-13</td>\n",
       "      <td>720.921620</td>\n",
       "      <td>443.886048</td>\n",
       "      <td>1019.150854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>2018-07-14</td>\n",
       "      <td>732.896431</td>\n",
       "      <td>417.762199</td>\n",
       "      <td>1033.321765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>2018-07-15</td>\n",
       "      <td>705.032270</td>\n",
       "      <td>405.485988</td>\n",
       "      <td>1016.936519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>2018-07-16</td>\n",
       "      <td>712.641829</td>\n",
       "      <td>402.888846</td>\n",
       "      <td>1023.565328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>2018-07-17</td>\n",
       "      <td>706.619973</td>\n",
       "      <td>418.452666</td>\n",
       "      <td>996.434006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>2018-07-18</td>\n",
       "      <td>700.113736</td>\n",
       "      <td>406.944872</td>\n",
       "      <td>1005.598231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>2018-07-19</td>\n",
       "      <td>694.411929</td>\n",
       "      <td>411.841946</td>\n",
       "      <td>1001.691328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>2018-07-20</td>\n",
       "      <td>684.875426</td>\n",
       "      <td>388.501364</td>\n",
       "      <td>988.414337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>2018-07-21</td>\n",
       "      <td>699.483734</td>\n",
       "      <td>382.695592</td>\n",
       "      <td>994.410604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>2018-07-22</td>\n",
       "      <td>674.565539</td>\n",
       "      <td>369.322798</td>\n",
       "      <td>977.561315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>632</th>\n",
       "      <td>2018-07-23</td>\n",
       "      <td>685.431311</td>\n",
       "      <td>356.163470</td>\n",
       "      <td>996.536745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>2018-07-24</td>\n",
       "      <td>682.965418</td>\n",
       "      <td>339.737160</td>\n",
       "      <td>1005.537360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>2018-07-25</td>\n",
       "      <td>680.295434</td>\n",
       "      <td>355.848709</td>\n",
       "      <td>1022.922722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>2018-07-26</td>\n",
       "      <td>678.681362</td>\n",
       "      <td>362.484600</td>\n",
       "      <td>999.373487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>2018-07-27</td>\n",
       "      <td>673.445884</td>\n",
       "      <td>355.393260</td>\n",
       "      <td>1005.987808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>2018-07-28</td>\n",
       "      <td>692.521236</td>\n",
       "      <td>366.120264</td>\n",
       "      <td>1031.187966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>2018-07-29</td>\n",
       "      <td>672.180414</td>\n",
       "      <td>342.557347</td>\n",
       "      <td>1001.742328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>2018-07-30</td>\n",
       "      <td>687.670780</td>\n",
       "      <td>359.915022</td>\n",
       "      <td>1017.956972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>2018-07-31</td>\n",
       "      <td>689.807488</td>\n",
       "      <td>347.672246</td>\n",
       "      <td>1034.321312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>2018-08-01</td>\n",
       "      <td>691.644382</td>\n",
       "      <td>358.820371</td>\n",
       "      <td>1036.430369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>2018-08-02</td>\n",
       "      <td>694.365053</td>\n",
       "      <td>346.004777</td>\n",
       "      <td>1022.044998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>2018-08-03</td>\n",
       "      <td>693.215093</td>\n",
       "      <td>338.271296</td>\n",
       "      <td>1027.308743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>2018-08-04</td>\n",
       "      <td>716.051100</td>\n",
       "      <td>374.484787</td>\n",
       "      <td>1065.225776</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>2018-08-05</td>\n",
       "      <td>699.074065</td>\n",
       "      <td>334.627751</td>\n",
       "      <td>1069.291192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>2018-08-06</td>\n",
       "      <td>717.465135</td>\n",
       "      <td>354.162183</td>\n",
       "      <td>1077.206255</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Date  zcash price       Lower        Upper\n",
       "467 2018-02-08   482.838663  350.932101   612.118295\n",
       "468 2018-02-09   483.262424  358.822748   615.446582\n",
       "469 2018-02-10   507.802673  373.250197   647.138122\n",
       "470 2018-02-11   492.589531  358.315629   629.275929\n",
       "471 2018-02-12   512.735798  384.940479   636.882208\n",
       "472 2018-02-13   518.934664  387.001398   647.353109\n",
       "473 2018-02-14   524.134481  384.631632   651.104549\n",
       "474 2018-02-15   529.433169  399.096383   653.270899\n",
       "475 2018-02-16   530.013191  404.108582   670.973675\n",
       "476 2018-02-17   553.692571  416.841695   694.716945\n",
       "477 2018-02-18   536.659523  400.743343   670.700619\n",
       "478 2018-02-19   554.108651  414.342654   688.021012\n",
       "479 2018-02-20   556.836080  412.308657   690.123891\n",
       "480 2018-02-21   557.911089  421.037820   686.477284\n",
       "481 2018-02-22   558.566921  431.873008   691.173095\n",
       "482 2018-02-23   554.131813  411.075739   690.861952\n",
       "483 2018-02-24   572.575823  441.602584   694.531174\n",
       "484 2018-02-25   550.241156  414.406940   687.694284\n",
       "485 2018-02-26   562.474061  424.311743   689.195167\n",
       "486 2018-02-27   560.215781  422.489240   699.660554\n",
       "487 2018-02-28   556.670251  417.312319   679.940142\n",
       "488 2018-03-01   553.191326  412.380180   685.517979\n",
       "489 2018-03-02   545.210668  415.966417   684.629059\n",
       "490 2018-03-03   560.781977  417.542087   688.939864\n",
       "491 2018-03-04   536.309310  394.842115   670.511947\n",
       "492 2018-03-05   547.177631  408.743355   675.349951\n",
       "493 2018-03-06   544.343094  416.616494   678.819862\n",
       "494 2018-03-07   541.000775  397.482027   674.089380\n",
       "495 2018-03-08   538.472606  401.467763   668.653437\n",
       "496 2018-03-09   532.136641  400.933981   667.477427\n",
       "..         ...          ...         ...          ...\n",
       "617 2018-07-08   749.919853  458.697879  1016.496911\n",
       "618 2018-07-09   756.281806  473.192037  1056.787629\n",
       "619 2018-07-10   748.771702  469.120474  1037.528654\n",
       "620 2018-07-11   740.515924  448.962682  1017.304579\n",
       "621 2018-07-12   732.784229  439.256682  1027.945424\n",
       "622 2018-07-13   720.921620  443.886048  1019.150854\n",
       "623 2018-07-14   732.896431  417.762199  1033.321765\n",
       "624 2018-07-15   705.032270  405.485988  1016.936519\n",
       "625 2018-07-16   712.641829  402.888846  1023.565328\n",
       "626 2018-07-17   706.619973  418.452666   996.434006\n",
       "627 2018-07-18   700.113736  406.944872  1005.598231\n",
       "628 2018-07-19   694.411929  411.841946  1001.691328\n",
       "629 2018-07-20   684.875426  388.501364   988.414337\n",
       "630 2018-07-21   699.483734  382.695592   994.410604\n",
       "631 2018-07-22   674.565539  369.322798   977.561315\n",
       "632 2018-07-23   685.431311  356.163470   996.536745\n",
       "633 2018-07-24   682.965418  339.737160  1005.537360\n",
       "634 2018-07-25   680.295434  355.848709  1022.922722\n",
       "635 2018-07-26   678.681362  362.484600   999.373487\n",
       "636 2018-07-27   673.445884  355.393260  1005.987808\n",
       "637 2018-07-28   692.521236  366.120264  1031.187966\n",
       "638 2018-07-29   672.180414  342.557347  1001.742328\n",
       "639 2018-07-30   687.670780  359.915022  1017.956972\n",
       "640 2018-07-31   689.807488  347.672246  1034.321312\n",
       "641 2018-08-01   691.644382  358.820371  1036.430369\n",
       "642 2018-08-02   694.365053  346.004777  1022.044998\n",
       "643 2018-08-03   693.215093  338.271296  1027.308743\n",
       "644 2018-08-04   716.051100  374.484787  1065.225776\n",
       "645 2018-08-05   699.074065  334.627751  1069.291192\n",
       "646 2018-08-06   717.465135  354.162183  1077.206255\n",
       "\n",
       "[180 rows x 4 columns]"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "next_180=forecast.iloc[-180:,:][['ds','yhat','yhat_lower','yhat_upper']]\n",
    "next_180.rename(columns={'ds':'Date','yhat':'zcash price','yhat_lower':'Lower','yhat_upper':'Upper'},inplace=True)\n",
    "next_180\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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