Stock.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import os\n",
    "\n",
    "import io\n",
    "from datetime import datetime\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100100</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100200</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100300</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100400</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100500</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100600</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100700</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100800</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100900</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101000</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101100</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101200</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101300</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101400</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101500</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101600</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101700</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101800</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101900</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102000</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102100</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102200</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102300</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102400</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102500</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102600</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102700</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102800</td>\n",
       "      <td>1051.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102900</td>\n",
       "      <td>1055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>20150105</td>\n",
       "      <td>103000</td>\n",
       "      <td>1055.0</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>262078</th>\n",
       "      <td>131512</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181300</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262079</th>\n",
       "      <td>131513</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181400</td>\n",
       "      <td>1246.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262080</th>\n",
       "      <td>131514</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181500</td>\n",
       "      <td>1245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262081</th>\n",
       "      <td>131515</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181600</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262082</th>\n",
       "      <td>131516</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181700</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262083</th>\n",
       "      <td>131517</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181800</td>\n",
       "      <td>1245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262084</th>\n",
       "      <td>131518</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181900</td>\n",
       "      <td>1245.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262085</th>\n",
       "      <td>131519</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182000</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262086</th>\n",
       "      <td>131520</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182100</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262087</th>\n",
       "      <td>131521</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182200</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262088</th>\n",
       "      <td>131522</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182300</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262089</th>\n",
       "      <td>131523</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182400</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262090</th>\n",
       "      <td>131524</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182500</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262091</th>\n",
       "      <td>131525</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182600</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262092</th>\n",
       "      <td>131526</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182700</td>\n",
       "      <td>1245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262093</th>\n",
       "      <td>131527</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182800</td>\n",
       "      <td>1246.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262094</th>\n",
       "      <td>131528</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182900</td>\n",
       "      <td>1249.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262095</th>\n",
       "      <td>131529</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183000</td>\n",
       "      <td>1249.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262096</th>\n",
       "      <td>131530</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183100</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262097</th>\n",
       "      <td>131531</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183200</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262098</th>\n",
       "      <td>131532</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183300</td>\n",
       "      <td>1249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262099</th>\n",
       "      <td>131533</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183400</td>\n",
       "      <td>1249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262100</th>\n",
       "      <td>131534</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183500</td>\n",
       "      <td>1249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262101</th>\n",
       "      <td>131535</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183600</td>\n",
       "      <td>1245.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262102</th>\n",
       "      <td>131536</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183700</td>\n",
       "      <td>1246.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262103</th>\n",
       "      <td>131537</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183800</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262104</th>\n",
       "      <td>131538</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183900</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262105</th>\n",
       "      <td>131539</td>\n",
       "      <td>20161230</td>\n",
       "      <td>184000</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262106</th>\n",
       "      <td>131540</td>\n",
       "      <td>20161230</td>\n",
       "      <td>184600</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262107</th>\n",
       "      <td>131541</td>\n",
       "      <td>20161230</td>\n",
       "      <td>184900</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>262108 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0      date    time   price\n",
       "0                0  20150105  100100  1064.0\n",
       "1                1  20150105  100200  1064.0\n",
       "2                2  20150105  100300  1064.0\n",
       "3                3  20150105  100400  1064.0\n",
       "4                4  20150105  100500  1064.0\n",
       "5                5  20150105  100600  1064.0\n",
       "6                6  20150105  100700  1064.0\n",
       "7                7  20150105  100800  1064.0\n",
       "8                8  20150105  100900  1064.0\n",
       "9                9  20150105  101000  1064.0\n",
       "10              10  20150105  101100  1064.0\n",
       "11              11  20150105  101200  1064.0\n",
       "12              12  20150105  101300  1064.0\n",
       "13              13  20150105  101400  1064.0\n",
       "14              14  20150105  101500  1064.0\n",
       "15              15  20150105  101600  1064.0\n",
       "16              16  20150105  101700  1064.0\n",
       "17              17  20150105  101800  1064.0\n",
       "18              18  20150105  101900  1064.0\n",
       "19              19  20150105  102000  1064.0\n",
       "20              20  20150105  102100  1064.0\n",
       "21              21  20150105  102200  1064.0\n",
       "22              22  20150105  102300  1064.0\n",
       "23              23  20150105  102400  1064.0\n",
       "24              24  20150105  102500  1064.0\n",
       "25              25  20150105  102600  1064.0\n",
       "26              26  20150105  102700  1064.0\n",
       "27              27  20150105  102800  1051.0\n",
       "28              28  20150105  102900  1055.0\n",
       "29              29  20150105  103000  1055.0\n",
       "...            ...       ...     ...     ...\n",
       "262078      131512  20161230  181300  1248.0\n",
       "262079      131513  20161230  181400  1246.5\n",
       "262080      131514  20161230  181500  1245.0\n",
       "262081      131515  20161230  181600  1248.0\n",
       "262082      131516  20161230  181700  1248.0\n",
       "262083      131517  20161230  181800  1245.0\n",
       "262084      131518  20161230  181900  1245.5\n",
       "262085      131519  20161230  182000  1247.5\n",
       "262086      131520  20161230  182100  1247.5\n",
       "262087      131521  20161230  182200  1247.5\n",
       "262088      131522  20161230  182300  1248.0\n",
       "262089      131523  20161230  182400  1248.0\n",
       "262090      131524  20161230  182500  1248.0\n",
       "262091      131525  20161230  182600  1248.0\n",
       "262092      131526  20161230  182700  1245.0\n",
       "262093      131527  20161230  182800  1246.0\n",
       "262094      131528  20161230  182900  1249.5\n",
       "262095      131529  20161230  183000  1249.5\n",
       "262096      131530  20161230  183100  1247.5\n",
       "262097      131531  20161230  183200  1248.5\n",
       "262098      131532  20161230  183300  1249.0\n",
       "262099      131533  20161230  183400  1249.0\n",
       "262100      131534  20161230  183500  1249.0\n",
       "262101      131535  20161230  183600  1245.5\n",
       "262102      131536  20161230  183700  1246.0\n",
       "262103      131537  20161230  183800  1248.5\n",
       "262104      131538  20161230  183900  1248.5\n",
       "262105      131539  20161230  184000  1248.5\n",
       "262106      131540  20161230  184600  1247.5\n",
       "262107      131541  20161230  184900  1247.5\n",
       "\n",
       "[262108 rows x 4 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('new.csv')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['date'] = df['date'].astype(str)\n",
    "df['time'] = df['time'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>price</th>\n",
       "      <th>date2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100100</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100200</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100300</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100400</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100500</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100600</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100700</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100800</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>20150105</td>\n",
       "      <td>100900</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 100900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101000</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101100</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101200</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101300</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101400</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101500</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101600</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101700</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101800</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>20150105</td>\n",
       "      <td>101900</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 101900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102000</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102100</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102200</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102300</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102400</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102500</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102600</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102700</td>\n",
       "      <td>1064.0</td>\n",
       "      <td>20150105 102700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102800</td>\n",
       "      <td>1051.0</td>\n",
       "      <td>20150105 102800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>20150105</td>\n",
       "      <td>102900</td>\n",
       "      <td>1055.0</td>\n",
       "      <td>20150105 102900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>20150105</td>\n",
       "      <td>103000</td>\n",
       "      <td>1055.0</td>\n",
       "      <td>20150105 103000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262078</th>\n",
       "      <td>131512</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181300</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>20161230 181300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262079</th>\n",
       "      <td>131513</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181400</td>\n",
       "      <td>1246.5</td>\n",
       "      <td>20161230 181400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262080</th>\n",
       "      <td>131514</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181500</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>20161230 181500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262081</th>\n",
       "      <td>131515</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181600</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>20161230 181600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262082</th>\n",
       "      <td>131516</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181700</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>20161230 181700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262083</th>\n",
       "      <td>131517</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181800</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>20161230 181800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262084</th>\n",
       "      <td>131518</td>\n",
       "      <td>20161230</td>\n",
       "      <td>181900</td>\n",
       "      <td>1245.5</td>\n",
       "      <td>20161230 181900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262085</th>\n",
       "      <td>131519</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182000</td>\n",
       "      <td>1247.5</td>\n",
       "      <td>20161230 182000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262086</th>\n",
       "      <td>131520</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182100</td>\n",
       "      <td>1247.5</td>\n",
       "      <td>20161230 182100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262087</th>\n",
       "      <td>131521</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182200</td>\n",
       "      <td>1247.5</td>\n",
       "      <td>20161230 182200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262088</th>\n",
       "      <td>131522</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182300</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>20161230 182300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262089</th>\n",
       "      <td>131523</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182400</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>20161230 182400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262090</th>\n",
       "      <td>131524</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182500</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>20161230 182500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262091</th>\n",
       "      <td>131525</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182600</td>\n",
       "      <td>1248.0</td>\n",
       "      <td>20161230 182600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262092</th>\n",
       "      <td>131526</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182700</td>\n",
       "      <td>1245.0</td>\n",
       "      <td>20161230 182700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262093</th>\n",
       "      <td>131527</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182800</td>\n",
       "      <td>1246.0</td>\n",
       "      <td>20161230 182800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262094</th>\n",
       "      <td>131528</td>\n",
       "      <td>20161230</td>\n",
       "      <td>182900</td>\n",
       "      <td>1249.5</td>\n",
       "      <td>20161230 182900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262095</th>\n",
       "      <td>131529</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183000</td>\n",
       "      <td>1249.5</td>\n",
       "      <td>20161230 183000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262096</th>\n",
       "      <td>131530</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183100</td>\n",
       "      <td>1247.5</td>\n",
       "      <td>20161230 183100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262097</th>\n",
       "      <td>131531</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183200</td>\n",
       "      <td>1248.5</td>\n",
       "      <td>20161230 183200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262098</th>\n",
       "      <td>131532</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183300</td>\n",
       "      <td>1249.0</td>\n",
       "      <td>20161230 183300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262099</th>\n",
       "      <td>131533</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183400</td>\n",
       "      <td>1249.0</td>\n",
       "      <td>20161230 183400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262100</th>\n",
       "      <td>131534</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183500</td>\n",
       "      <td>1249.0</td>\n",
       "      <td>20161230 183500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262101</th>\n",
       "      <td>131535</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183600</td>\n",
       "      <td>1245.5</td>\n",
       "      <td>20161230 183600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262102</th>\n",
       "      <td>131536</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183700</td>\n",
       "      <td>1246.0</td>\n",
       "      <td>20161230 183700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262103</th>\n",
       "      <td>131537</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183800</td>\n",
       "      <td>1248.5</td>\n",
       "      <td>20161230 183800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262104</th>\n",
       "      <td>131538</td>\n",
       "      <td>20161230</td>\n",
       "      <td>183900</td>\n",
       "      <td>1248.5</td>\n",
       "      <td>20161230 183900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262105</th>\n",
       "      <td>131539</td>\n",
       "      <td>20161230</td>\n",
       "      <td>184000</td>\n",
       "      <td>1248.5</td>\n",
       "      <td>20161230 184000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262106</th>\n",
       "      <td>131540</td>\n",
       "      <td>20161230</td>\n",
       "      <td>184600</td>\n",
       "      <td>1247.5</td>\n",
       "      <td>20161230 184600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262107</th>\n",
       "      <td>131541</td>\n",
       "      <td>20161230</td>\n",
       "      <td>184900</td>\n",
       "      <td>1247.5</td>\n",
       "      <td>20161230 184900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>262108 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0      date    time   price            date2\n",
       "0                0  20150105  100100  1064.0  20150105 100100\n",
       "1                1  20150105  100200  1064.0  20150105 100200\n",
       "2                2  20150105  100300  1064.0  20150105 100300\n",
       "3                3  20150105  100400  1064.0  20150105 100400\n",
       "4                4  20150105  100500  1064.0  20150105 100500\n",
       "5                5  20150105  100600  1064.0  20150105 100600\n",
       "6                6  20150105  100700  1064.0  20150105 100700\n",
       "7                7  20150105  100800  1064.0  20150105 100800\n",
       "8                8  20150105  100900  1064.0  20150105 100900\n",
       "9                9  20150105  101000  1064.0  20150105 101000\n",
       "10              10  20150105  101100  1064.0  20150105 101100\n",
       "11              11  20150105  101200  1064.0  20150105 101200\n",
       "12              12  20150105  101300  1064.0  20150105 101300\n",
       "13              13  20150105  101400  1064.0  20150105 101400\n",
       "14              14  20150105  101500  1064.0  20150105 101500\n",
       "15              15  20150105  101600  1064.0  20150105 101600\n",
       "16              16  20150105  101700  1064.0  20150105 101700\n",
       "17              17  20150105  101800  1064.0  20150105 101800\n",
       "18              18  20150105  101900  1064.0  20150105 101900\n",
       "19              19  20150105  102000  1064.0  20150105 102000\n",
       "20              20  20150105  102100  1064.0  20150105 102100\n",
       "21              21  20150105  102200  1064.0  20150105 102200\n",
       "22              22  20150105  102300  1064.0  20150105 102300\n",
       "23              23  20150105  102400  1064.0  20150105 102400\n",
       "24              24  20150105  102500  1064.0  20150105 102500\n",
       "25              25  20150105  102600  1064.0  20150105 102600\n",
       "26              26  20150105  102700  1064.0  20150105 102700\n",
       "27              27  20150105  102800  1051.0  20150105 102800\n",
       "28              28  20150105  102900  1055.0  20150105 102900\n",
       "29              29  20150105  103000  1055.0  20150105 103000\n",
       "...            ...       ...     ...     ...              ...\n",
       "262078      131512  20161230  181300  1248.0  20161230 181300\n",
       "262079      131513  20161230  181400  1246.5  20161230 181400\n",
       "262080      131514  20161230  181500  1245.0  20161230 181500\n",
       "262081      131515  20161230  181600  1248.0  20161230 181600\n",
       "262082      131516  20161230  181700  1248.0  20161230 181700\n",
       "262083      131517  20161230  181800  1245.0  20161230 181800\n",
       "262084      131518  20161230  181900  1245.5  20161230 181900\n",
       "262085      131519  20161230  182000  1247.5  20161230 182000\n",
       "262086      131520  20161230  182100  1247.5  20161230 182100\n",
       "262087      131521  20161230  182200  1247.5  20161230 182200\n",
       "262088      131522  20161230  182300  1248.0  20161230 182300\n",
       "262089      131523  20161230  182400  1248.0  20161230 182400\n",
       "262090      131524  20161230  182500  1248.0  20161230 182500\n",
       "262091      131525  20161230  182600  1248.0  20161230 182600\n",
       "262092      131526  20161230  182700  1245.0  20161230 182700\n",
       "262093      131527  20161230  182800  1246.0  20161230 182800\n",
       "262094      131528  20161230  182900  1249.5  20161230 182900\n",
       "262095      131529  20161230  183000  1249.5  20161230 183000\n",
       "262096      131530  20161230  183100  1247.5  20161230 183100\n",
       "262097      131531  20161230  183200  1248.5  20161230 183200\n",
       "262098      131532  20161230  183300  1249.0  20161230 183300\n",
       "262099      131533  20161230  183400  1249.0  20161230 183400\n",
       "262100      131534  20161230  183500  1249.0  20161230 183500\n",
       "262101      131535  20161230  183600  1245.5  20161230 183600\n",
       "262102      131536  20161230  183700  1246.0  20161230 183700\n",
       "262103      131537  20161230  183800  1248.5  20161230 183800\n",
       "262104      131538  20161230  183900  1248.5  20161230 183900\n",
       "262105      131539  20161230  184000  1248.5  20161230 184000\n",
       "262106      131540  20161230  184600  1247.5  20161230 184600\n",
       "262107      131541  20161230  184900  1247.5  20161230 184900\n",
       "\n",
       "[262108 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['date2'] = df['date'] + ' ' + df['time']\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['datetime'] = pd.to_datetime(df.date2, format='%Y%m%d %H%M%S')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[['datetime', 'price']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>datetime</th>\n",
       "      <th>price</th>\n",
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       "      <th>0</th>\n",
       "      <td>2015-01-05 10:01:00</td>\n",
       "      <td>1064.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>2015-01-05 10:02:00</td>\n",
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       "      <td>2015-01-05 10:03:00</td>\n",
       "      <td>1064.0</td>\n",
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       "      <td>2015-01-05 10:04:00</td>\n",
       "      <td>1064.0</td>\n",
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       "      <td>2015-01-05 10:05:00</td>\n",
       "      <td>1064.0</td>\n",
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       "      <th>5</th>\n",
       "      <td>2015-01-05 10:06:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2015-01-05 10:07:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2015-01-05 10:08:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2015-01-05 10:09:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2015-01-05 10:10:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2015-01-05 10:11:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2015-01-05 10:12:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2015-01-05 10:13:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2015-01-05 10:14:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2015-01-05 10:15:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2015-01-05 10:16:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2015-01-05 10:17:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2015-01-05 10:18:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2015-01-05 10:19:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2015-01-05 10:20:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2015-01-05 10:21:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2015-01-05 10:22:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2015-01-05 10:23:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2015-01-05 10:24:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2015-01-05 10:25:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015-01-05 10:26:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2015-01-05 10:27:00</td>\n",
       "      <td>1064.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2015-01-05 10:28:00</td>\n",
       "      <td>1051.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2015-01-05 10:29:00</td>\n",
       "      <td>1055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2015-01-05 10:30:00</td>\n",
       "      <td>1055.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262078</th>\n",
       "      <td>2016-12-30 18:13:00</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262079</th>\n",
       "      <td>2016-12-30 18:14:00</td>\n",
       "      <td>1246.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262080</th>\n",
       "      <td>2016-12-30 18:15:00</td>\n",
       "      <td>1245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262081</th>\n",
       "      <td>2016-12-30 18:16:00</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262082</th>\n",
       "      <td>2016-12-30 18:17:00</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262083</th>\n",
       "      <td>2016-12-30 18:18:00</td>\n",
       "      <td>1245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262084</th>\n",
       "      <td>2016-12-30 18:19:00</td>\n",
       "      <td>1245.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262085</th>\n",
       "      <td>2016-12-30 18:20:00</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262086</th>\n",
       "      <td>2016-12-30 18:21:00</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262087</th>\n",
       "      <td>2016-12-30 18:22:00</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262088</th>\n",
       "      <td>2016-12-30 18:23:00</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262089</th>\n",
       "      <td>2016-12-30 18:24:00</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262090</th>\n",
       "      <td>2016-12-30 18:25:00</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262091</th>\n",
       "      <td>2016-12-30 18:26:00</td>\n",
       "      <td>1248.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262092</th>\n",
       "      <td>2016-12-30 18:27:00</td>\n",
       "      <td>1245.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262093</th>\n",
       "      <td>2016-12-30 18:28:00</td>\n",
       "      <td>1246.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262094</th>\n",
       "      <td>2016-12-30 18:29:00</td>\n",
       "      <td>1249.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262095</th>\n",
       "      <td>2016-12-30 18:30:00</td>\n",
       "      <td>1249.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262096</th>\n",
       "      <td>2016-12-30 18:31:00</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262097</th>\n",
       "      <td>2016-12-30 18:32:00</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262098</th>\n",
       "      <td>2016-12-30 18:33:00</td>\n",
       "      <td>1249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262099</th>\n",
       "      <td>2016-12-30 18:34:00</td>\n",
       "      <td>1249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262100</th>\n",
       "      <td>2016-12-30 18:35:00</td>\n",
       "      <td>1249.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262101</th>\n",
       "      <td>2016-12-30 18:36:00</td>\n",
       "      <td>1245.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262102</th>\n",
       "      <td>2016-12-30 18:37:00</td>\n",
       "      <td>1246.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262103</th>\n",
       "      <td>2016-12-30 18:38:00</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262104</th>\n",
       "      <td>2016-12-30 18:39:00</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262105</th>\n",
       "      <td>2016-12-30 18:40:00</td>\n",
       "      <td>1248.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262106</th>\n",
       "      <td>2016-12-30 18:46:00</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262107</th>\n",
       "      <td>2016-12-30 18:49:00</td>\n",
       "      <td>1247.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>262108 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  datetime   price\n",
       "0      2015-01-05 10:01:00  1064.0\n",
       "1      2015-01-05 10:02:00  1064.0\n",
       "2      2015-01-05 10:03:00  1064.0\n",
       "3      2015-01-05 10:04:00  1064.0\n",
       "4      2015-01-05 10:05:00  1064.0\n",
       "5      2015-01-05 10:06:00  1064.0\n",
       "6      2015-01-05 10:07:00  1064.0\n",
       "7      2015-01-05 10:08:00  1064.0\n",
       "8      2015-01-05 10:09:00  1064.0\n",
       "9      2015-01-05 10:10:00  1064.0\n",
       "10     2015-01-05 10:11:00  1064.0\n",
       "11     2015-01-05 10:12:00  1064.0\n",
       "12     2015-01-05 10:13:00  1064.0\n",
       "13     2015-01-05 10:14:00  1064.0\n",
       "14     2015-01-05 10:15:00  1064.0\n",
       "15     2015-01-05 10:16:00  1064.0\n",
       "16     2015-01-05 10:17:00  1064.0\n",
       "17     2015-01-05 10:18:00  1064.0\n",
       "18     2015-01-05 10:19:00  1064.0\n",
       "19     2015-01-05 10:20:00  1064.0\n",
       "20     2015-01-05 10:21:00  1064.0\n",
       "21     2015-01-05 10:22:00  1064.0\n",
       "22     2015-01-05 10:23:00  1064.0\n",
       "23     2015-01-05 10:24:00  1064.0\n",
       "24     2015-01-05 10:25:00  1064.0\n",
       "25     2015-01-05 10:26:00  1064.0\n",
       "26     2015-01-05 10:27:00  1064.0\n",
       "27     2015-01-05 10:28:00  1051.0\n",
       "28     2015-01-05 10:29:00  1055.0\n",
       "29     2015-01-05 10:30:00  1055.0\n",
       "...                    ...     ...\n",
       "262078 2016-12-30 18:13:00  1248.0\n",
       "262079 2016-12-30 18:14:00  1246.5\n",
       "262080 2016-12-30 18:15:00  1245.0\n",
       "262081 2016-12-30 18:16:00  1248.0\n",
       "262082 2016-12-30 18:17:00  1248.0\n",
       "262083 2016-12-30 18:18:00  1245.0\n",
       "262084 2016-12-30 18:19:00  1245.5\n",
       "262085 2016-12-30 18:20:00  1247.5\n",
       "262086 2016-12-30 18:21:00  1247.5\n",
       "262087 2016-12-30 18:22:00  1247.5\n",
       "262088 2016-12-30 18:23:00  1248.0\n",
       "262089 2016-12-30 18:24:00  1248.0\n",
       "262090 2016-12-30 18:25:00  1248.0\n",
       "262091 2016-12-30 18:26:00  1248.0\n",
       "262092 2016-12-30 18:27:00  1245.0\n",
       "262093 2016-12-30 18:28:00  1246.0\n",
       "262094 2016-12-30 18:29:00  1249.5\n",
       "262095 2016-12-30 18:30:00  1249.5\n",
       "262096 2016-12-30 18:31:00  1247.5\n",
       "262097 2016-12-30 18:32:00  1248.5\n",
       "262098 2016-12-30 18:33:00  1249.0\n",
       "262099 2016-12-30 18:34:00  1249.0\n",
       "262100 2016-12-30 18:35:00  1249.0\n",
       "262101 2016-12-30 18:36:00  1245.5\n",
       "262102 2016-12-30 18:37:00  1246.0\n",
       "262103 2016-12-30 18:38:00  1248.5\n",
       "262104 2016-12-30 18:39:00  1248.5\n",
       "262105 2016-12-30 18:40:00  1248.5\n",
       "262106 2016-12-30 18:46:00  1247.5\n",
       "262107 2016-12-30 18:49:00  1247.5\n",
       "\n",
       "[262108 rows x 2 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_index('datetime')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Стратегия 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "62640"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.index <= '2015-07-01'].shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "9900"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.index <= '2015-02-01'].shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2 скользящих средних - одна экпоненциальная (31 день), другая - обычная, 182-183 дня"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['ma_31exp'] = df.price.ewm(span=df[df.index <= '2015-02-01'].shape[0], adjust=False).mean()\n",
    "df['ma_182'] = df.price.rolling(window=df[df.index <= '2015-07-01'].shape[0], min_periods=1).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(figsize=(20, 8), grid=True)\n",
    "plt.axvline('2015-07-01', c='r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['diff'] = df['ma_31exp'] - df['ma_182']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "u = np.sign(df['diff'])\n",
    "m = np.flatnonzero(u.diff().abs().eq(2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Индексы смены знака между Exp31 и MA182 (если быстрая МА, пробила медленную => покупать; если при открытом ордере пробила обратно => закрывать)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([   114, 108448, 230240], dtype=int32)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>ma_31exp</th>\n",
       "      <th>ma_182</th>\n",
       "      <th>diff</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-10-30 15:29:00</th>\n",
       "      <td>997.0</td>\n",
       "      <td>851.781106</td>\n",
       "      <td>851.776229</td>\n",
       "      <td>0.004876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-05 18:39:00</th>\n",
       "      <td>1367.0</td>\n",
       "      <td>1366.100919</td>\n",
       "      <td>1366.103456</td>\n",
       "      <td>-0.002537</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      price     ma_31exp       ma_182      diff\n",
       "datetime                                                       \n",
       "2015-10-30 15:29:00   997.0   851.781106   851.776229  0.004876\n",
       "2016-10-05 18:39:00  1367.0  1366.100919  1366.103456 -0.002537"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df.iloc[m][df.iloc[m].index > '2015-07-01']\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "370.0"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profit = df2.loc['2016-10-05 18:39:00', 'price'] - df2.loc['2015-10-30 15:29:00', 'price']\n",
    "profit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Т.е. покупка за 997 и продажа за 1367"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['price', 'ma_31exp', 'ma_182']].plot(figsize=(20, 8), grid=True, zorder=1)\n",
    "plt.axvline('2015-07-01', c='r')\n",
    "plt.scatter('2015-10-30 15:29:00', 997.0, marker='^', s=100, c='r', zorder=2)\n",
    "plt.scatter('2016-10-05 18:39:00', 1367.0, marker='v', s=100, c='r', zorder=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Стратегия 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В задании упоминается, что сделки только купить-продать, а не наоборот"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[['price']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "_cell_guid": "79c7e3d0-c299-4dcb-8224-4455121ee9b0",
    "_uuid": "d629ff2d2480ee46fbb7e2d37f6b5fab8052498a"
   },
   "outputs": [],
   "source": [
    "df['ma_30'] = df.price.rolling(window=df[df.index <= '2015-02-01'].shape[0], min_periods=1).mean()\n",
    "df['ma_273'] = df.price.rolling(window=df[df.index <= '2015-09-01'].shape[0], min_periods=1).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot(figsize=(20, 8), grid=True)\n",
    "plt.axvline('2015-09-01', c='r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "При пробитии медленной МА => покупать\n",
    "\n",
    "При сильном ОБРАТНОМ пробое (70 пунктов) быстрой МА => продавать"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[df.index > '2015-09-01'].plot(figsize=(30, 8), grid=True, zorder=1)\n",
    "# plt.scatter('2015-12-07 15:29:00', 997.0, marker='^', s=100, c='r', zorder=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['diff_ma_price'] = df['ma_30'] - df['price']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df[df.index > '2015-09-01']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df[(df['diff_ma_price'] > 70) & (df['ma_273'] < df['price'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(figsize=(20, 8))\n",
    "plt.plot(df.index, df.price, zorder=1)\n",
    "plt.scatter(df2.index, df2.price, c='r', s=5, zorder=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В области февраля 2016 акции как раз-таки будут куплены (т.к. медленная МА будет пробита ценой, после этого следующий ОБРАТНЫЙ пробой быстрой МА произойдёт в ~ июле 2016)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>price</th>\n",
       "      <th>ma_30</th>\n",
       "      <th>ma_273</th>\n",
       "      <th>diff_ma_price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-12-08 17:45:00</th>\n",
       "      <td>1006.2</td>\n",
       "      <td>1079.792152</td>\n",
       "      <td>903.530893</td>\n",
       "      <td>73.592152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-08 17:46:00</th>\n",
       "      <td>1008.9</td>\n",
       "      <td>1079.788505</td>\n",
       "      <td>903.531347</td>\n",
       "      <td>70.888505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:23:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203949</td>\n",
       "      <td>903.486293</td>\n",
       "      <td>71.203949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:24:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203889</td>\n",
       "      <td>903.485336</td>\n",
       "      <td>71.203889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:25:00</th>\n",
       "      <td>1012.9</td>\n",
       "      <td>1083.203939</td>\n",
       "      <td>903.484388</td>\n",
       "      <td>70.303939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:26:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203899</td>\n",
       "      <td>903.483431</td>\n",
       "      <td>71.203899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:27:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203848</td>\n",
       "      <td>903.482473</td>\n",
       "      <td>71.203848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:28:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203717</td>\n",
       "      <td>903.481516</td>\n",
       "      <td>71.203717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:29:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203646</td>\n",
       "      <td>903.480558</td>\n",
       "      <td>71.203646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:30:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203576</td>\n",
       "      <td>903.479589</td>\n",
       "      <td>71.203576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:31:00</th>\n",
       "      <td>1013.0</td>\n",
       "      <td>1083.203566</td>\n",
       "      <td>903.478631</td>\n",
       "      <td>70.203566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:32:00</th>\n",
       "      <td>1013.0</td>\n",
       "      <td>1083.203626</td>\n",
       "      <td>903.477662</td>\n",
       "      <td>70.203626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:33:00</th>\n",
       "      <td>1013.0</td>\n",
       "      <td>1083.203667</td>\n",
       "      <td>903.476692</td>\n",
       "      <td>70.203667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:34:00</th>\n",
       "      <td>1013.0</td>\n",
       "      <td>1083.203707</td>\n",
       "      <td>903.475723</td>\n",
       "      <td>70.203707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:35:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203646</td>\n",
       "      <td>903.474742</td>\n",
       "      <td>71.203646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:36:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.203434</td>\n",
       "      <td>903.473761</td>\n",
       "      <td>71.203434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:37:00</th>\n",
       "      <td>1012.6</td>\n",
       "      <td>1083.203283</td>\n",
       "      <td>903.472787</td>\n",
       "      <td>70.603283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:38:00</th>\n",
       "      <td>1012.6</td>\n",
       "      <td>1083.203121</td>\n",
       "      <td>903.471802</td>\n",
       "      <td>70.603121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:43:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.202646</td>\n",
       "      <td>903.466866</td>\n",
       "      <td>71.202646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:44:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.202414</td>\n",
       "      <td>903.465874</td>\n",
       "      <td>71.202414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:45:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.202182</td>\n",
       "      <td>903.464869</td>\n",
       "      <td>71.202182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:46:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.201949</td>\n",
       "      <td>903.463865</td>\n",
       "      <td>71.201949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:47:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.201717</td>\n",
       "      <td>903.462861</td>\n",
       "      <td>71.201717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:48:00</th>\n",
       "      <td>1013.0</td>\n",
       "      <td>1083.201586</td>\n",
       "      <td>903.461868</td>\n",
       "      <td>70.201586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:49:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.201354</td>\n",
       "      <td>903.460864</td>\n",
       "      <td>71.201354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:50:00</th>\n",
       "      <td>1012.1</td>\n",
       "      <td>1083.201131</td>\n",
       "      <td>903.459861</td>\n",
       "      <td>71.101131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:51:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.200899</td>\n",
       "      <td>903.458856</td>\n",
       "      <td>71.200899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:52:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.200677</td>\n",
       "      <td>903.457852</td>\n",
       "      <td>71.200677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:53:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.200455</td>\n",
       "      <td>903.456848</td>\n",
       "      <td>71.200455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14 15:54:00</th>\n",
       "      <td>1012.0</td>\n",
       "      <td>1083.200232</td>\n",
       "      <td>903.455832</td>\n",
       "      <td>71.200232</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>2016-09-20 15:51:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.796515</td>\n",
       "      <td>1250.118400</td>\n",
       "      <td>70.796515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:52:00</th>\n",
       "      <td>1335.5</td>\n",
       "      <td>1405.785051</td>\n",
       "      <td>1250.121851</td>\n",
       "      <td>70.285051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:53:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.773535</td>\n",
       "      <td>1250.125298</td>\n",
       "      <td>70.773535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:54:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.762020</td>\n",
       "      <td>1250.128744</td>\n",
       "      <td>70.762020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:55:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.750505</td>\n",
       "      <td>1250.132166</td>\n",
       "      <td>70.750505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:56:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.738990</td>\n",
       "      <td>1250.135587</td>\n",
       "      <td>70.738990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:57:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.727475</td>\n",
       "      <td>1250.139030</td>\n",
       "      <td>70.727475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:58:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.715960</td>\n",
       "      <td>1250.142473</td>\n",
       "      <td>70.715960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:59:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.704444</td>\n",
       "      <td>1250.145916</td>\n",
       "      <td>70.704444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:00:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.692929</td>\n",
       "      <td>1250.149358</td>\n",
       "      <td>70.692929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:01:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.681414</td>\n",
       "      <td>1250.152801</td>\n",
       "      <td>70.681414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:02:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.669949</td>\n",
       "      <td>1250.156244</td>\n",
       "      <td>70.669949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:03:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.658485</td>\n",
       "      <td>1250.159687</td>\n",
       "      <td>70.658485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:11:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.568636</td>\n",
       "      <td>1250.187329</td>\n",
       "      <td>72.068636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:12:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.557172</td>\n",
       "      <td>1250.190724</td>\n",
       "      <td>70.557172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:13:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.545556</td>\n",
       "      <td>1250.194092</td>\n",
       "      <td>72.045556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:14:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.533939</td>\n",
       "      <td>1250.197461</td>\n",
       "      <td>72.033939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:15:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.521465</td>\n",
       "      <td>1250.200826</td>\n",
       "      <td>72.021465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:16:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.508990</td>\n",
       "      <td>1250.204183</td>\n",
       "      <td>72.008990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:17:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.496768</td>\n",
       "      <td>1250.207570</td>\n",
       "      <td>70.496768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:18:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.484293</td>\n",
       "      <td>1250.210916</td>\n",
       "      <td>71.984293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:19:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.471970</td>\n",
       "      <td>1250.214271</td>\n",
       "      <td>70.471970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:20:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.459646</td>\n",
       "      <td>1250.217648</td>\n",
       "      <td>70.459646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:21:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.447172</td>\n",
       "      <td>1250.221008</td>\n",
       "      <td>71.947172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:22:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.434646</td>\n",
       "      <td>1250.224371</td>\n",
       "      <td>72.434646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:23:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.422323</td>\n",
       "      <td>1250.227735</td>\n",
       "      <td>72.422323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:24:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.409949</td>\n",
       "      <td>1250.231098</td>\n",
       "      <td>72.409949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:25:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.397727</td>\n",
       "      <td>1250.234461</td>\n",
       "      <td>72.397727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:26:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.385505</td>\n",
       "      <td>1250.237825</td>\n",
       "      <td>72.385505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:09:00</th>\n",
       "      <td>1287.0</td>\n",
       "      <td>1357.301919</td>\n",
       "      <td>1283.752590</td>\n",
       "      <td>70.301919</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7457 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      price        ma_30       ma_273  diff_ma_price\n",
       "datetime                                                            \n",
       "2015-12-08 17:45:00  1006.2  1079.792152   903.530893      73.592152\n",
       "2015-12-08 17:46:00  1008.9  1079.788505   903.531347      70.888505\n",
       "2015-12-14 15:23:00  1012.0  1083.203949   903.486293      71.203949\n",
       "2015-12-14 15:24:00  1012.0  1083.203889   903.485336      71.203889\n",
       "2015-12-14 15:25:00  1012.9  1083.203939   903.484388      70.303939\n",
       "2015-12-14 15:26:00  1012.0  1083.203899   903.483431      71.203899\n",
       "2015-12-14 15:27:00  1012.0  1083.203848   903.482473      71.203848\n",
       "2015-12-14 15:28:00  1012.0  1083.203717   903.481516      71.203717\n",
       "2015-12-14 15:29:00  1012.0  1083.203646   903.480558      71.203646\n",
       "2015-12-14 15:30:00  1012.0  1083.203576   903.479589      71.203576\n",
       "2015-12-14 15:31:00  1013.0  1083.203566   903.478631      70.203566\n",
       "2015-12-14 15:32:00  1013.0  1083.203626   903.477662      70.203626\n",
       "2015-12-14 15:33:00  1013.0  1083.203667   903.476692      70.203667\n",
       "2015-12-14 15:34:00  1013.0  1083.203707   903.475723      70.203707\n",
       "2015-12-14 15:35:00  1012.0  1083.203646   903.474742      71.203646\n",
       "2015-12-14 15:36:00  1012.0  1083.203434   903.473761      71.203434\n",
       "2015-12-14 15:37:00  1012.6  1083.203283   903.472787      70.603283\n",
       "2015-12-14 15:38:00  1012.6  1083.203121   903.471802      70.603121\n",
       "2015-12-14 15:43:00  1012.0  1083.202646   903.466866      71.202646\n",
       "2015-12-14 15:44:00  1012.0  1083.202414   903.465874      71.202414\n",
       "2015-12-14 15:45:00  1012.0  1083.202182   903.464869      71.202182\n",
       "2015-12-14 15:46:00  1012.0  1083.201949   903.463865      71.201949\n",
       "2015-12-14 15:47:00  1012.0  1083.201717   903.462861      71.201717\n",
       "2015-12-14 15:48:00  1013.0  1083.201586   903.461868      70.201586\n",
       "2015-12-14 15:49:00  1012.0  1083.201354   903.460864      71.201354\n",
       "2015-12-14 15:50:00  1012.1  1083.201131   903.459861      71.101131\n",
       "2015-12-14 15:51:00  1012.0  1083.200899   903.458856      71.200899\n",
       "2015-12-14 15:52:00  1012.0  1083.200677   903.457852      71.200677\n",
       "2015-12-14 15:53:00  1012.0  1083.200455   903.456848      71.200455\n",
       "2015-12-14 15:54:00  1012.0  1083.200232   903.455832      71.200232\n",
       "...                     ...          ...          ...            ...\n",
       "2016-09-20 15:51:00  1335.0  1405.796515  1250.118400      70.796515\n",
       "2016-09-20 15:52:00  1335.5  1405.785051  1250.121851      70.285051\n",
       "2016-09-20 15:53:00  1335.0  1405.773535  1250.125298      70.773535\n",
       "2016-09-20 15:54:00  1335.0  1405.762020  1250.128744      70.762020\n",
       "2016-09-20 15:55:00  1335.0  1405.750505  1250.132166      70.750505\n",
       "2016-09-20 15:56:00  1335.0  1405.738990  1250.135587      70.738990\n",
       "2016-09-20 15:57:00  1335.0  1405.727475  1250.139030      70.727475\n",
       "2016-09-20 15:58:00  1335.0  1405.715960  1250.142473      70.715960\n",
       "2016-09-20 15:59:00  1335.0  1405.704444  1250.145916      70.704444\n",
       "2016-09-20 16:00:00  1335.0  1405.692929  1250.149358      70.692929\n",
       "2016-09-20 16:01:00  1335.0  1405.681414  1250.152801      70.681414\n",
       "2016-09-20 16:02:00  1335.0  1405.669949  1250.156244      70.669949\n",
       "2016-09-20 16:03:00  1335.0  1405.658485  1250.159687      70.658485\n",
       "2016-09-20 16:11:00  1333.5  1405.568636  1250.187329      72.068636\n",
       "2016-09-20 16:12:00  1335.0  1405.557172  1250.190724      70.557172\n",
       "2016-09-20 16:13:00  1333.5  1405.545556  1250.194092      72.045556\n",
       "2016-09-20 16:14:00  1333.5  1405.533939  1250.197461      72.033939\n",
       "2016-09-20 16:15:00  1333.5  1405.521465  1250.200826      72.021465\n",
       "2016-09-20 16:16:00  1333.5  1405.508990  1250.204183      72.008990\n",
       "2016-09-20 16:17:00  1335.0  1405.496768  1250.207570      70.496768\n",
       "2016-09-20 16:18:00  1333.5  1405.484293  1250.210916      71.984293\n",
       "2016-09-20 16:19:00  1335.0  1405.471970  1250.214271      70.471970\n",
       "2016-09-20 16:20:00  1335.0  1405.459646  1250.217648      70.459646\n",
       "2016-09-20 16:21:00  1333.5  1405.447172  1250.221008      71.947172\n",
       "2016-09-20 16:22:00  1333.0  1405.434646  1250.224371      72.434646\n",
       "2016-09-20 16:23:00  1333.0  1405.422323  1250.227735      72.422323\n",
       "2016-09-20 16:24:00  1333.0  1405.409949  1250.231098      72.409949\n",
       "2016-09-20 16:25:00  1333.0  1405.397727  1250.234461      72.397727\n",
       "2016-09-20 16:26:00  1333.0  1405.385505  1250.237825      72.385505\n",
       "2016-10-12 18:09:00  1287.0  1357.301919  1283.752590      70.301919\n",
       "\n",
       "[7457 rows x 4 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = df[(df['diff_ma_price'] > 70) & (df['ma_273'] < df['price'])]\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>ma_30</th>\n",
       "      <th>ma_273</th>\n",
       "      <th>diff_ma_price</th>\n",
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       "    <tr>\n",
       "      <th>datetime</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:31:00</th>\n",
       "      <td>883.0</td>\n",
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       "      <td>877.636502</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-27 13:32:00</th>\n",
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       "      <th>2015-10-27 13:33:00</th>\n",
       "      <td>882.0</td>\n",
       "      <td>786.882323</td>\n",
       "      <td>877.633570</td>\n",
       "      <td>-95.117677</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-27 13:34:00</th>\n",
       "      <td>890.0</td>\n",
       "      <td>786.899091</td>\n",
       "      <td>877.632204</td>\n",
       "      <td>-103.100909</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-27 13:35:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>786.915758</td>\n",
       "      <td>877.630826</td>\n",
       "      <td>-102.084242</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-27 13:36:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>786.932424</td>\n",
       "      <td>877.629448</td>\n",
       "      <td>-102.067576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:37:00</th>\n",
       "      <td>887.0</td>\n",
       "      <td>786.948889</td>\n",
       "      <td>877.628047</td>\n",
       "      <td>-100.051111</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-27 13:38:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>786.965556</td>\n",
       "      <td>877.626669</td>\n",
       "      <td>-102.034444</td>\n",
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       "    <tr>\n",
       "      <th>2015-10-27 13:39:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>786.982222</td>\n",
       "      <td>877.625290</td>\n",
       "      <td>-102.017778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:40:00</th>\n",
       "      <td>887.0</td>\n",
       "      <td>786.998586</td>\n",
       "      <td>877.623901</td>\n",
       "      <td>-100.001414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:41:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>787.015152</td>\n",
       "      <td>877.622534</td>\n",
       "      <td>-101.984848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:42:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>787.031717</td>\n",
       "      <td>877.621168</td>\n",
       "      <td>-101.968283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:43:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>787.048283</td>\n",
       "      <td>877.619802</td>\n",
       "      <td>-101.951717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:44:00</th>\n",
       "      <td>886.0</td>\n",
       "      <td>787.064545</td>\n",
       "      <td>877.618424</td>\n",
       "      <td>-98.935455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:45:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>787.081313</td>\n",
       "      <td>877.617081</td>\n",
       "      <td>-101.918687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:46:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>787.098081</td>\n",
       "      <td>877.615738</td>\n",
       "      <td>-101.901919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:47:00</th>\n",
       "      <td>886.0</td>\n",
       "      <td>787.114545</td>\n",
       "      <td>877.614360</td>\n",
       "      <td>-98.885455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:48:00</th>\n",
       "      <td>885.0</td>\n",
       "      <td>787.130909</td>\n",
       "      <td>877.612970</td>\n",
       "      <td>-97.869091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:49:00</th>\n",
       "      <td>884.0</td>\n",
       "      <td>787.147071</td>\n",
       "      <td>877.611557</td>\n",
       "      <td>-96.852929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:50:00</th>\n",
       "      <td>882.0</td>\n",
       "      <td>787.163030</td>\n",
       "      <td>877.610120</td>\n",
       "      <td>-94.836970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:51:00</th>\n",
       "      <td>883.0</td>\n",
       "      <td>787.179091</td>\n",
       "      <td>877.608696</td>\n",
       "      <td>-95.820909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:52:00</th>\n",
       "      <td>881.0</td>\n",
       "      <td>787.194848</td>\n",
       "      <td>877.607248</td>\n",
       "      <td>-93.805152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:53:00</th>\n",
       "      <td>882.0</td>\n",
       "      <td>787.210707</td>\n",
       "      <td>877.605811</td>\n",
       "      <td>-94.789293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:54:00</th>\n",
       "      <td>882.0</td>\n",
       "      <td>787.226566</td>\n",
       "      <td>877.604375</td>\n",
       "      <td>-94.773434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:55:00</th>\n",
       "      <td>882.0</td>\n",
       "      <td>787.242424</td>\n",
       "      <td>877.602938</td>\n",
       "      <td>-94.757576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:56:00</th>\n",
       "      <td>882.0</td>\n",
       "      <td>787.258283</td>\n",
       "      <td>877.601502</td>\n",
       "      <td>-94.741717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:57:00</th>\n",
       "      <td>882.0</td>\n",
       "      <td>787.274141</td>\n",
       "      <td>877.600065</td>\n",
       "      <td>-94.725859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:58:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>787.290707</td>\n",
       "      <td>877.598711</td>\n",
       "      <td>-101.709293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 13:59:00</th>\n",
       "      <td>889.0</td>\n",
       "      <td>787.307475</td>\n",
       "      <td>877.597356</td>\n",
       "      <td>-101.692525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-27 14:00:00</th>\n",
       "      <td>890.0</td>\n",
       "      <td>787.324141</td>\n",
       "      <td>877.596013</td>\n",
       "      <td>-102.675859</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>2016-10-12 18:22:00</th>\n",
       "      <td>1292.0</td>\n",
       "      <td>1357.263485</td>\n",
       "      <td>1283.788413</td>\n",
       "      <td>65.263485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:23:00</th>\n",
       "      <td>1292.0</td>\n",
       "      <td>1357.260859</td>\n",
       "      <td>1283.791175</td>\n",
       "      <td>65.260859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:24:00</th>\n",
       "      <td>1293.0</td>\n",
       "      <td>1357.258384</td>\n",
       "      <td>1283.793966</td>\n",
       "      <td>64.258384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:25:00</th>\n",
       "      <td>1292.5</td>\n",
       "      <td>1357.255606</td>\n",
       "      <td>1283.796751</td>\n",
       "      <td>64.755606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:26:00</th>\n",
       "      <td>1291.5</td>\n",
       "      <td>1357.252727</td>\n",
       "      <td>1283.799519</td>\n",
       "      <td>65.752727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:27:00</th>\n",
       "      <td>1290.0</td>\n",
       "      <td>1357.249697</td>\n",
       "      <td>1283.802269</td>\n",
       "      <td>67.249697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:28:00</th>\n",
       "      <td>1291.0</td>\n",
       "      <td>1357.246465</td>\n",
       "      <td>1283.805031</td>\n",
       "      <td>66.246465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:29:00</th>\n",
       "      <td>1290.5</td>\n",
       "      <td>1357.243384</td>\n",
       "      <td>1283.807781</td>\n",
       "      <td>66.743384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:30:00</th>\n",
       "      <td>1291.0</td>\n",
       "      <td>1357.240253</td>\n",
       "      <td>1283.810537</td>\n",
       "      <td>66.240253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:31:00</th>\n",
       "      <td>1291.0</td>\n",
       "      <td>1357.236818</td>\n",
       "      <td>1283.813293</td>\n",
       "      <td>66.236818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:32:00</th>\n",
       "      <td>1291.5</td>\n",
       "      <td>1357.233788</td>\n",
       "      <td>1283.816055</td>\n",
       "      <td>65.733788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:33:00</th>\n",
       "      <td>1292.5</td>\n",
       "      <td>1357.231061</td>\n",
       "      <td>1283.818823</td>\n",
       "      <td>64.731061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:34:00</th>\n",
       "      <td>1293.0</td>\n",
       "      <td>1357.227475</td>\n",
       "      <td>1283.821579</td>\n",
       "      <td>64.227475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:35:00</th>\n",
       "      <td>1296.5</td>\n",
       "      <td>1357.224495</td>\n",
       "      <td>1283.824382</td>\n",
       "      <td>60.724495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:36:00</th>\n",
       "      <td>1296.0</td>\n",
       "      <td>1357.220505</td>\n",
       "      <td>1283.827179</td>\n",
       "      <td>61.220505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:37:00</th>\n",
       "      <td>1295.0</td>\n",
       "      <td>1357.217424</td>\n",
       "      <td>1283.829964</td>\n",
       "      <td>62.217424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:38:00</th>\n",
       "      <td>1293.5</td>\n",
       "      <td>1357.214141</td>\n",
       "      <td>1283.832732</td>\n",
       "      <td>63.714141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:39:00</th>\n",
       "      <td>1292.0</td>\n",
       "      <td>1357.210707</td>\n",
       "      <td>1283.835476</td>\n",
       "      <td>65.210707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:40:00</th>\n",
       "      <td>1291.5</td>\n",
       "      <td>1357.207374</td>\n",
       "      <td>1283.838197</td>\n",
       "      <td>65.707374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:46:00</th>\n",
       "      <td>1290.0</td>\n",
       "      <td>1357.203687</td>\n",
       "      <td>1283.840907</td>\n",
       "      <td>67.203687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:47:00</th>\n",
       "      <td>1290.0</td>\n",
       "      <td>1357.200000</td>\n",
       "      <td>1283.843604</td>\n",
       "      <td>67.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:48:00</th>\n",
       "      <td>1290.0</td>\n",
       "      <td>1357.196313</td>\n",
       "      <td>1283.846290</td>\n",
       "      <td>67.196313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:49:00</th>\n",
       "      <td>1290.0</td>\n",
       "      <td>1357.192626</td>\n",
       "      <td>1283.848976</td>\n",
       "      <td>67.192626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-13 16:22:00</th>\n",
       "      <td>1287.5</td>\n",
       "      <td>1354.980909</td>\n",
       "      <td>1285.033844</td>\n",
       "      <td>67.480909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-13 16:23:00</th>\n",
       "      <td>1288.0</td>\n",
       "      <td>1354.976111</td>\n",
       "      <td>1285.037149</td>\n",
       "      <td>66.976111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-13 16:24:00</th>\n",
       "      <td>1287.0</td>\n",
       "      <td>1354.971212</td>\n",
       "      <td>1285.040442</td>\n",
       "      <td>67.971212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-13 16:25:00</th>\n",
       "      <td>1287.0</td>\n",
       "      <td>1354.966162</td>\n",
       "      <td>1285.043735</td>\n",
       "      <td>67.966162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-13 16:26:00</th>\n",
       "      <td>1287.0</td>\n",
       "      <td>1354.961515</td>\n",
       "      <td>1285.047028</td>\n",
       "      <td>67.961515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-13 16:27:00</th>\n",
       "      <td>1288.0</td>\n",
       "      <td>1354.957071</td>\n",
       "      <td>1285.050333</td>\n",
       "      <td>66.957071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-13 16:28:00</th>\n",
       "      <td>1287.5</td>\n",
       "      <td>1354.952879</td>\n",
       "      <td>1285.053633</td>\n",
       "      <td>67.452879</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>126072 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      price        ma_30       ma_273  diff_ma_price\n",
       "datetime                                                            \n",
       "2015-10-27 13:31:00   883.0   786.850707   877.636502     -96.149293\n",
       "2015-10-27 13:32:00   881.0   786.866465   877.635030     -94.133535\n",
       "2015-10-27 13:33:00   882.0   786.882323   877.633570     -95.117677\n",
       "2015-10-27 13:34:00   890.0   786.899091   877.632204    -103.100909\n",
       "2015-10-27 13:35:00   889.0   786.915758   877.630826    -102.084242\n",
       "2015-10-27 13:36:00   889.0   786.932424   877.629448    -102.067576\n",
       "2015-10-27 13:37:00   887.0   786.948889   877.628047    -100.051111\n",
       "2015-10-27 13:38:00   889.0   786.965556   877.626669    -102.034444\n",
       "2015-10-27 13:39:00   889.0   786.982222   877.625290    -102.017778\n",
       "2015-10-27 13:40:00   887.0   786.998586   877.623901    -100.001414\n",
       "2015-10-27 13:41:00   889.0   787.015152   877.622534    -101.984848\n",
       "2015-10-27 13:42:00   889.0   787.031717   877.621168    -101.968283\n",
       "2015-10-27 13:43:00   889.0   787.048283   877.619802    -101.951717\n",
       "2015-10-27 13:44:00   886.0   787.064545   877.618424     -98.935455\n",
       "2015-10-27 13:45:00   889.0   787.081313   877.617081    -101.918687\n",
       "2015-10-27 13:46:00   889.0   787.098081   877.615738    -101.901919\n",
       "2015-10-27 13:47:00   886.0   787.114545   877.614360     -98.885455\n",
       "2015-10-27 13:48:00   885.0   787.130909   877.612970     -97.869091\n",
       "2015-10-27 13:49:00   884.0   787.147071   877.611557     -96.852929\n",
       "2015-10-27 13:50:00   882.0   787.163030   877.610120     -94.836970\n",
       "2015-10-27 13:51:00   883.0   787.179091   877.608696     -95.820909\n",
       "2015-10-27 13:52:00   881.0   787.194848   877.607248     -93.805152\n",
       "2015-10-27 13:53:00   882.0   787.210707   877.605811     -94.789293\n",
       "2015-10-27 13:54:00   882.0   787.226566   877.604375     -94.773434\n",
       "2015-10-27 13:55:00   882.0   787.242424   877.602938     -94.757576\n",
       "2015-10-27 13:56:00   882.0   787.258283   877.601502     -94.741717\n",
       "2015-10-27 13:57:00   882.0   787.274141   877.600065     -94.725859\n",
       "2015-10-27 13:58:00   889.0   787.290707   877.598711    -101.709293\n",
       "2015-10-27 13:59:00   889.0   787.307475   877.597356    -101.692525\n",
       "2015-10-27 14:00:00   890.0   787.324141   877.596013    -102.675859\n",
       "...                     ...          ...          ...            ...\n",
       "2016-10-12 18:22:00  1292.0  1357.263485  1283.788413      65.263485\n",
       "2016-10-12 18:23:00  1292.0  1357.260859  1283.791175      65.260859\n",
       "2016-10-12 18:24:00  1293.0  1357.258384  1283.793966      64.258384\n",
       "2016-10-12 18:25:00  1292.5  1357.255606  1283.796751      64.755606\n",
       "2016-10-12 18:26:00  1291.5  1357.252727  1283.799519      65.752727\n",
       "2016-10-12 18:27:00  1290.0  1357.249697  1283.802269      67.249697\n",
       "2016-10-12 18:28:00  1291.0  1357.246465  1283.805031      66.246465\n",
       "2016-10-12 18:29:00  1290.5  1357.243384  1283.807781      66.743384\n",
       "2016-10-12 18:30:00  1291.0  1357.240253  1283.810537      66.240253\n",
       "2016-10-12 18:31:00  1291.0  1357.236818  1283.813293      66.236818\n",
       "2016-10-12 18:32:00  1291.5  1357.233788  1283.816055      65.733788\n",
       "2016-10-12 18:33:00  1292.5  1357.231061  1283.818823      64.731061\n",
       "2016-10-12 18:34:00  1293.0  1357.227475  1283.821579      64.227475\n",
       "2016-10-12 18:35:00  1296.5  1357.224495  1283.824382      60.724495\n",
       "2016-10-12 18:36:00  1296.0  1357.220505  1283.827179      61.220505\n",
       "2016-10-12 18:37:00  1295.0  1357.217424  1283.829964      62.217424\n",
       "2016-10-12 18:38:00  1293.5  1357.214141  1283.832732      63.714141\n",
       "2016-10-12 18:39:00  1292.0  1357.210707  1283.835476      65.210707\n",
       "2016-10-12 18:40:00  1291.5  1357.207374  1283.838197      65.707374\n",
       "2016-10-12 18:46:00  1290.0  1357.203687  1283.840907      67.203687\n",
       "2016-10-12 18:47:00  1290.0  1357.200000  1283.843604      67.200000\n",
       "2016-10-12 18:48:00  1290.0  1357.196313  1283.846290      67.196313\n",
       "2016-10-12 18:49:00  1290.0  1357.192626  1283.848976      67.192626\n",
       "2016-10-13 16:22:00  1287.5  1354.980909  1285.033844      67.480909\n",
       "2016-10-13 16:23:00  1288.0  1354.976111  1285.037149      66.976111\n",
       "2016-10-13 16:24:00  1287.0  1354.971212  1285.040442      67.971212\n",
       "2016-10-13 16:25:00  1287.0  1354.966162  1285.043735      67.966162\n",
       "2016-10-13 16:26:00  1287.0  1354.961515  1285.047028      67.961515\n",
       "2016-10-13 16:27:00  1288.0  1354.957071  1285.050333      66.957071\n",
       "2016-10-13 16:28:00  1287.5  1354.952879  1285.053633      67.452879\n",
       "\n",
       "[126072 rows x 4 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = df[(df['ma_273'] < df['price'])]\n",
    "df3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первая транзакция"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['price', 'ma_30', 'ma_273']][df.index > '2015-09-01'].plot(figsize=(30, 8), grid=True, zorder=1)\n",
    "plt.scatter(df3.index[0], df3.price[0], marker='^', s=100, c='r', zorder=2)\n",
    "plt.scatter(df2.index[0], df2.price[0], marker='v', s=100, c='r', zorder=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "123.20000000000005"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profit2 = df2.price[0] - df3.price[0]\n",
    "profit2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Вторая транзакция"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>ma_30</th>\n",
       "      <th>ma_273</th>\n",
       "      <th>diff_ma_price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:24:00</th>\n",
       "      <td>1327.5</td>\n",
       "      <td>1399.052222</td>\n",
       "      <td>1116.208549</td>\n",
       "      <td>71.552222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:26:00</th>\n",
       "      <td>1326.0</td>\n",
       "      <td>1399.053485</td>\n",
       "      <td>1116.217698</td>\n",
       "      <td>73.053485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:27:00</th>\n",
       "      <td>1327.0</td>\n",
       "      <td>1399.053939</td>\n",
       "      <td>1116.222265</td>\n",
       "      <td>72.053939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:28:00</th>\n",
       "      <td>1321.5</td>\n",
       "      <td>1399.053838</td>\n",
       "      <td>1116.226802</td>\n",
       "      <td>77.553838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:29:00</th>\n",
       "      <td>1321.0</td>\n",
       "      <td>1399.053687</td>\n",
       "      <td>1116.231391</td>\n",
       "      <td>78.053687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:30:00</th>\n",
       "      <td>1320.5</td>\n",
       "      <td>1399.053485</td>\n",
       "      <td>1116.235975</td>\n",
       "      <td>78.553485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:31:00</th>\n",
       "      <td>1320.0</td>\n",
       "      <td>1399.053232</td>\n",
       "      <td>1116.240553</td>\n",
       "      <td>79.053232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:32:00</th>\n",
       "      <td>1316.5</td>\n",
       "      <td>1399.052626</td>\n",
       "      <td>1116.245102</td>\n",
       "      <td>82.552626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:33:00</th>\n",
       "      <td>1316.5</td>\n",
       "      <td>1399.052020</td>\n",
       "      <td>1116.249674</td>\n",
       "      <td>82.552020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:34:00</th>\n",
       "      <td>1312.5</td>\n",
       "      <td>1399.051010</td>\n",
       "      <td>1116.254234</td>\n",
       "      <td>86.551010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:35:00</th>\n",
       "      <td>1313.0</td>\n",
       "      <td>1399.050051</td>\n",
       "      <td>1116.258800</td>\n",
       "      <td>86.050051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:36:00</th>\n",
       "      <td>1315.5</td>\n",
       "      <td>1399.049343</td>\n",
       "      <td>1116.263396</td>\n",
       "      <td>83.549343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:37:00</th>\n",
       "      <td>1315.5</td>\n",
       "      <td>1399.048889</td>\n",
       "      <td>1116.267991</td>\n",
       "      <td>83.548889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:38:00</th>\n",
       "      <td>1313.5</td>\n",
       "      <td>1399.048232</td>\n",
       "      <td>1116.272621</td>\n",
       "      <td>85.548232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:39:00</th>\n",
       "      <td>1314.0</td>\n",
       "      <td>1399.047626</td>\n",
       "      <td>1116.277269</td>\n",
       "      <td>85.047626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:40:00</th>\n",
       "      <td>1313.0</td>\n",
       "      <td>1399.046919</td>\n",
       "      <td>1116.281871</td>\n",
       "      <td>86.046919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:41:00</th>\n",
       "      <td>1313.0</td>\n",
       "      <td>1399.046263</td>\n",
       "      <td>1116.286460</td>\n",
       "      <td>86.046263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:42:00</th>\n",
       "      <td>1311.5</td>\n",
       "      <td>1399.045455</td>\n",
       "      <td>1116.291044</td>\n",
       "      <td>87.545455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:43:00</th>\n",
       "      <td>1310.0</td>\n",
       "      <td>1399.044495</td>\n",
       "      <td>1116.295610</td>\n",
       "      <td>89.044495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:44:00</th>\n",
       "      <td>1307.5</td>\n",
       "      <td>1399.043283</td>\n",
       "      <td>1116.300135</td>\n",
       "      <td>91.543283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:45:00</th>\n",
       "      <td>1308.0</td>\n",
       "      <td>1399.042121</td>\n",
       "      <td>1116.304643</td>\n",
       "      <td>91.042121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:46:00</th>\n",
       "      <td>1305.5</td>\n",
       "      <td>1399.040707</td>\n",
       "      <td>1116.309052</td>\n",
       "      <td>93.540707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:47:00</th>\n",
       "      <td>1309.0</td>\n",
       "      <td>1399.039646</td>\n",
       "      <td>1116.313513</td>\n",
       "      <td>90.039646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:48:00</th>\n",
       "      <td>1305.5</td>\n",
       "      <td>1399.038232</td>\n",
       "      <td>1116.317933</td>\n",
       "      <td>93.538232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:49:00</th>\n",
       "      <td>1305.0</td>\n",
       "      <td>1399.036768</td>\n",
       "      <td>1116.322359</td>\n",
       "      <td>94.036768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:50:00</th>\n",
       "      <td>1302.0</td>\n",
       "      <td>1399.035000</td>\n",
       "      <td>1116.326750</td>\n",
       "      <td>97.035000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:51:00</th>\n",
       "      <td>1301.0</td>\n",
       "      <td>1399.033131</td>\n",
       "      <td>1116.331106</td>\n",
       "      <td>98.033131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:52:00</th>\n",
       "      <td>1299.0</td>\n",
       "      <td>1399.031061</td>\n",
       "      <td>1116.335427</td>\n",
       "      <td>100.031061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:53:00</th>\n",
       "      <td>1297.5</td>\n",
       "      <td>1399.028838</td>\n",
       "      <td>1116.339766</td>\n",
       "      <td>101.528838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-06-27 17:54:00</th>\n",
       "      <td>1297.0</td>\n",
       "      <td>1399.026566</td>\n",
       "      <td>1116.344087</td>\n",
       "      <td>102.026566</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>2016-09-20 15:51:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.796515</td>\n",
       "      <td>1250.118400</td>\n",
       "      <td>70.796515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:52:00</th>\n",
       "      <td>1335.5</td>\n",
       "      <td>1405.785051</td>\n",
       "      <td>1250.121851</td>\n",
       "      <td>70.285051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:53:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.773535</td>\n",
       "      <td>1250.125298</td>\n",
       "      <td>70.773535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:54:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.762020</td>\n",
       "      <td>1250.128744</td>\n",
       "      <td>70.762020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:55:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.750505</td>\n",
       "      <td>1250.132166</td>\n",
       "      <td>70.750505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:56:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.738990</td>\n",
       "      <td>1250.135587</td>\n",
       "      <td>70.738990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:57:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.727475</td>\n",
       "      <td>1250.139030</td>\n",
       "      <td>70.727475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:58:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.715960</td>\n",
       "      <td>1250.142473</td>\n",
       "      <td>70.715960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 15:59:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.704444</td>\n",
       "      <td>1250.145916</td>\n",
       "      <td>70.704444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:00:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.692929</td>\n",
       "      <td>1250.149358</td>\n",
       "      <td>70.692929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:01:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.681414</td>\n",
       "      <td>1250.152801</td>\n",
       "      <td>70.681414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:02:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.669949</td>\n",
       "      <td>1250.156244</td>\n",
       "      <td>70.669949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:03:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.658485</td>\n",
       "      <td>1250.159687</td>\n",
       "      <td>70.658485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:11:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.568636</td>\n",
       "      <td>1250.187329</td>\n",
       "      <td>72.068636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:12:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.557172</td>\n",
       "      <td>1250.190724</td>\n",
       "      <td>70.557172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:13:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.545556</td>\n",
       "      <td>1250.194092</td>\n",
       "      <td>72.045556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:14:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.533939</td>\n",
       "      <td>1250.197461</td>\n",
       "      <td>72.033939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:15:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.521465</td>\n",
       "      <td>1250.200826</td>\n",
       "      <td>72.021465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:16:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.508990</td>\n",
       "      <td>1250.204183</td>\n",
       "      <td>72.008990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:17:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.496768</td>\n",
       "      <td>1250.207570</td>\n",
       "      <td>70.496768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:18:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.484293</td>\n",
       "      <td>1250.210916</td>\n",
       "      <td>71.984293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:19:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.471970</td>\n",
       "      <td>1250.214271</td>\n",
       "      <td>70.471970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:20:00</th>\n",
       "      <td>1335.0</td>\n",
       "      <td>1405.459646</td>\n",
       "      <td>1250.217648</td>\n",
       "      <td>70.459646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:21:00</th>\n",
       "      <td>1333.5</td>\n",
       "      <td>1405.447172</td>\n",
       "      <td>1250.221008</td>\n",
       "      <td>71.947172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:22:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.434646</td>\n",
       "      <td>1250.224371</td>\n",
       "      <td>72.434646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:23:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.422323</td>\n",
       "      <td>1250.227735</td>\n",
       "      <td>72.422323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:24:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.409949</td>\n",
       "      <td>1250.231098</td>\n",
       "      <td>72.409949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:25:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.397727</td>\n",
       "      <td>1250.234461</td>\n",
       "      <td>72.397727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-20 16:26:00</th>\n",
       "      <td>1333.0</td>\n",
       "      <td>1405.385505</td>\n",
       "      <td>1250.237825</td>\n",
       "      <td>72.385505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-10-12 18:09:00</th>\n",
       "      <td>1287.0</td>\n",
       "      <td>1357.301919</td>\n",
       "      <td>1283.752590</td>\n",
       "      <td>70.301919</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3455 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      price        ma_30       ma_273  diff_ma_price\n",
       "datetime                                                            \n",
       "2016-06-27 17:24:00  1327.5  1399.052222  1116.208549      71.552222\n",
       "2016-06-27 17:26:00  1326.0  1399.053485  1116.217698      73.053485\n",
       "2016-06-27 17:27:00  1327.0  1399.053939  1116.222265      72.053939\n",
       "2016-06-27 17:28:00  1321.5  1399.053838  1116.226802      77.553838\n",
       "2016-06-27 17:29:00  1321.0  1399.053687  1116.231391      78.053687\n",
       "2016-06-27 17:30:00  1320.5  1399.053485  1116.235975      78.553485\n",
       "2016-06-27 17:31:00  1320.0  1399.053232  1116.240553      79.053232\n",
       "2016-06-27 17:32:00  1316.5  1399.052626  1116.245102      82.552626\n",
       "2016-06-27 17:33:00  1316.5  1399.052020  1116.249674      82.552020\n",
       "2016-06-27 17:34:00  1312.5  1399.051010  1116.254234      86.551010\n",
       "2016-06-27 17:35:00  1313.0  1399.050051  1116.258800      86.050051\n",
       "2016-06-27 17:36:00  1315.5  1399.049343  1116.263396      83.549343\n",
       "2016-06-27 17:37:00  1315.5  1399.048889  1116.267991      83.548889\n",
       "2016-06-27 17:38:00  1313.5  1399.048232  1116.272621      85.548232\n",
       "2016-06-27 17:39:00  1314.0  1399.047626  1116.277269      85.047626\n",
       "2016-06-27 17:40:00  1313.0  1399.046919  1116.281871      86.046919\n",
       "2016-06-27 17:41:00  1313.0  1399.046263  1116.286460      86.046263\n",
       "2016-06-27 17:42:00  1311.5  1399.045455  1116.291044      87.545455\n",
       "2016-06-27 17:43:00  1310.0  1399.044495  1116.295610      89.044495\n",
       "2016-06-27 17:44:00  1307.5  1399.043283  1116.300135      91.543283\n",
       "2016-06-27 17:45:00  1308.0  1399.042121  1116.304643      91.042121\n",
       "2016-06-27 17:46:00  1305.5  1399.040707  1116.309052      93.540707\n",
       "2016-06-27 17:47:00  1309.0  1399.039646  1116.313513      90.039646\n",
       "2016-06-27 17:48:00  1305.5  1399.038232  1116.317933      93.538232\n",
       "2016-06-27 17:49:00  1305.0  1399.036768  1116.322359      94.036768\n",
       "2016-06-27 17:50:00  1302.0  1399.035000  1116.326750      97.035000\n",
       "2016-06-27 17:51:00  1301.0  1399.033131  1116.331106      98.033131\n",
       "2016-06-27 17:52:00  1299.0  1399.031061  1116.335427     100.031061\n",
       "2016-06-27 17:53:00  1297.5  1399.028838  1116.339766     101.528838\n",
       "2016-06-27 17:54:00  1297.0  1399.026566  1116.344087     102.026566\n",
       "...                     ...          ...          ...            ...\n",
       "2016-09-20 15:51:00  1335.0  1405.796515  1250.118400      70.796515\n",
       "2016-09-20 15:52:00  1335.5  1405.785051  1250.121851      70.285051\n",
       "2016-09-20 15:53:00  1335.0  1405.773535  1250.125298      70.773535\n",
       "2016-09-20 15:54:00  1335.0  1405.762020  1250.128744      70.762020\n",
       "2016-09-20 15:55:00  1335.0  1405.750505  1250.132166      70.750505\n",
       "2016-09-20 15:56:00  1335.0  1405.738990  1250.135587      70.738990\n",
       "2016-09-20 15:57:00  1335.0  1405.727475  1250.139030      70.727475\n",
       "2016-09-20 15:58:00  1335.0  1405.715960  1250.142473      70.715960\n",
       "2016-09-20 15:59:00  1335.0  1405.704444  1250.145916      70.704444\n",
       "2016-09-20 16:00:00  1335.0  1405.692929  1250.149358      70.692929\n",
       "2016-09-20 16:01:00  1335.0  1405.681414  1250.152801      70.681414\n",
       "2016-09-20 16:02:00  1335.0  1405.669949  1250.156244      70.669949\n",
       "2016-09-20 16:03:00  1335.0  1405.658485  1250.159687      70.658485\n",
       "2016-09-20 16:11:00  1333.5  1405.568636  1250.187329      72.068636\n",
       "2016-09-20 16:12:00  1335.0  1405.557172  1250.190724      70.557172\n",
       "2016-09-20 16:13:00  1333.5  1405.545556  1250.194092      72.045556\n",
       "2016-09-20 16:14:00  1333.5  1405.533939  1250.197461      72.033939\n",
       "2016-09-20 16:15:00  1333.5  1405.521465  1250.200826      72.021465\n",
       "2016-09-20 16:16:00  1333.5  1405.508990  1250.204183      72.008990\n",
       "2016-09-20 16:17:00  1335.0  1405.496768  1250.207570      70.496768\n",
       "2016-09-20 16:18:00  1333.5  1405.484293  1250.210916      71.984293\n",
       "2016-09-20 16:19:00  1335.0  1405.471970  1250.214271      70.471970\n",
       "2016-09-20 16:20:00  1335.0  1405.459646  1250.217648      70.459646\n",
       "2016-09-20 16:21:00  1333.5  1405.447172  1250.221008      71.947172\n",
       "2016-09-20 16:22:00  1333.0  1405.434646  1250.224371      72.434646\n",
       "2016-09-20 16:23:00  1333.0  1405.422323  1250.227735      72.422323\n",
       "2016-09-20 16:24:00  1333.0  1405.409949  1250.231098      72.409949\n",
       "2016-09-20 16:25:00  1333.0  1405.397727  1250.234461      72.397727\n",
       "2016-09-20 16:26:00  1333.0  1405.385505  1250.237825      72.385505\n",
       "2016-10-12 18:09:00  1287.0  1357.301919  1283.752590      70.301919\n",
       "\n",
       "[3455 rows x 4 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5 = df2[df2.index > '2016-05']\n",
    "df5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
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       "      <th>2016-01-20 18:02:00</th>\n",
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       "      <th>2016-01-20 18:03:00</th>\n",
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       "      <th>2016-01-20 18:05:00</th>\n",
       "      <td>906.2</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:06:00</th>\n",
       "      <td>908.6</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:07:00</th>\n",
       "      <td>910.0</td>\n",
       "      <td>1061.468879</td>\n",
       "      <td>914.432519</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:08:00</th>\n",
       "      <td>910.0</td>\n",
       "      <td>1061.451657</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:09:00</th>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:10:00</th>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:11:00</th>\n",
       "      <td>909.9</td>\n",
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       "      <td>914.431608</td>\n",
       "      <td>151.499545</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:12:00</th>\n",
       "      <td>908.0</td>\n",
       "      <td>1061.382667</td>\n",
       "      <td>914.431340</td>\n",
       "      <td>153.382667</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:13:00</th>\n",
       "      <td>906.0</td>\n",
       "      <td>1061.365586</td>\n",
       "      <td>914.431048</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:14:00</th>\n",
       "      <td>906.0</td>\n",
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       "      <td>914.430756</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:15:00</th>\n",
       "      <td>909.3</td>\n",
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       "      <td>914.430444</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:16:00</th>\n",
       "      <td>909.6</td>\n",
       "      <td>1061.312263</td>\n",
       "      <td>914.430136</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:17:00</th>\n",
       "      <td>911.5</td>\n",
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       "      <td>914.429885</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:18:00</th>\n",
       "      <td>910.9</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:19:00</th>\n",
       "      <td>910.4</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:20:00</th>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:22:00</th>\n",
       "      <td>910.0</td>\n",
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       "      <td>914.428772</td>\n",
       "      <td>151.206283</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:23:00</th>\n",
       "      <td>910.1</td>\n",
       "      <td>1061.188616</td>\n",
       "      <td>914.428539</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:24:00</th>\n",
       "      <td>909.0</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:25:00</th>\n",
       "      <td>910.8</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:26:00</th>\n",
       "      <td>912.1</td>\n",
       "      <td>1061.135182</td>\n",
       "      <td>914.427779</td>\n",
       "      <td>149.035182</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-20 18:27:00</th>\n",
       "      <td>912.1</td>\n",
       "      <td>1061.117465</td>\n",
       "      <td>914.427512</td>\n",
       "      <td>149.017465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-20 18:30:00</th>\n",
       "      <td>913.5</td>\n",
       "      <td>1061.065101</td>\n",
       "      <td>914.426809</td>\n",
       "      <td>147.565101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-20 18:36:00</th>\n",
       "      <td>913.8</td>\n",
       "      <td>1060.958960</td>\n",
       "      <td>914.425398</td>\n",
       "      <td>147.158960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-20 18:46:00</th>\n",
       "      <td>912.5</td>\n",
       "      <td>1060.870848</td>\n",
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      ],
      "text/plain": [
       "                     price        ma_30      ma_273  diff_ma_price\n",
       "datetime                                                          \n",
       "2016-01-20 18:02:00  910.1  1061.554101  914.433630     151.454101\n",
       "2016-01-20 18:03:00  910.1  1061.537071  914.433433     151.437071\n",
       "2016-01-20 18:04:00  909.0  1061.520010  914.433222     152.520010\n",
       "2016-01-20 18:05:00  906.2  1061.502909  914.432956     155.302909\n",
       "2016-01-20 18:06:00  908.6  1061.486101  914.432730     152.886101\n",
       "2016-01-20 18:07:00  910.0  1061.468879  914.432519     151.468879\n",
       "2016-01-20 18:08:00  910.0  1061.451657  914.432309     151.451657\n",
       "2016-01-20 18:09:00  911.0  1061.434677  914.432111     150.434677\n",
       "2016-01-20 18:10:00  909.1  1061.417727  914.431855     152.317727\n",
       "2016-01-20 18:11:00  909.9  1061.399545  914.431608     151.499545\n",
       "2016-01-20 18:12:00  908.0  1061.382667  914.431340     153.382667\n",
       "2016-01-20 18:13:00  906.0  1061.365586  914.431048     155.365586\n",
       "2016-01-20 18:14:00  906.0  1061.348505  914.430756     155.348505\n",
       "2016-01-20 18:15:00  909.3  1061.330747  914.430444     152.030747\n",
       "2016-01-20 18:16:00  909.6  1061.312263  914.430136     151.712263\n",
       "2016-01-20 18:17:00  911.5  1061.294717  914.429885     149.794717\n",
       "2016-01-20 18:18:00  910.9  1061.277111  914.429627     150.377111\n",
       "2016-01-20 18:19:00  910.4  1061.259455  914.429398     150.859455\n",
       "2016-01-20 18:20:00  910.9  1061.241848  914.429175     150.341848\n",
       "2016-01-20 18:22:00  910.0  1061.206283  914.428772     151.206283\n",
       "2016-01-20 18:23:00  910.1  1061.188616  914.428539     151.088616\n",
       "2016-01-20 18:24:00  909.0  1061.170667  914.428282     152.170667\n",
       "2016-01-20 18:25:00  910.8  1061.152899  914.428047     150.352899\n",
       "2016-01-20 18:26:00  912.1  1061.135182  914.427779     149.035182\n",
       "2016-01-20 18:27:00  912.1  1061.117465  914.427512     149.017465\n",
       "2016-01-20 18:30:00  913.5  1061.065101  914.426809     147.565101\n",
       "2016-01-20 18:36:00  913.8  1060.958960  914.425398     147.158960\n",
       "2016-01-20 18:46:00  912.5  1060.870848  914.424248     148.370848"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4 = df[(df['ma_273'] > df['price']) & (df.index > '2016-01-20') & (df.index < '2016-01-21')]\n",
    "df4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Беру последний индекс пока цена держится ниже МА"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2016-01-20 18:46:00')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.index[-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>price</th>\n",
       "      <th>ma_30</th>\n",
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       "      <th>datetime</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-20 18:46:00</th>\n",
       "      <td>912.5</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:01:00</th>\n",
       "      <td>936.9</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:02:00</th>\n",
       "      <td>930.4</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:03:00</th>\n",
       "      <td>930.7</td>\n",
       "      <td>1060.823505</td>\n",
       "      <td>914.424166</td>\n",
       "      <td>130.123505</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:04:00</th>\n",
       "      <td>935.0</td>\n",
       "      <td>1060.808121</td>\n",
       "      <td>914.424166</td>\n",
       "      <td>125.808121</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:05:00</th>\n",
       "      <td>945.5</td>\n",
       "      <td>1060.793778</td>\n",
       "      <td>914.424289</td>\n",
       "      <td>115.293778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:06:00</th>\n",
       "      <td>940.9</td>\n",
       "      <td>1060.779091</td>\n",
       "      <td>914.424357</td>\n",
       "      <td>119.879091</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:07:00</th>\n",
       "      <td>949.9</td>\n",
       "      <td>1060.765283</td>\n",
       "      <td>914.424543</td>\n",
       "      <td>110.865283</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:08:00</th>\n",
       "      <td>947.0</td>\n",
       "      <td>1060.751182</td>\n",
       "      <td>914.424695</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:09:00</th>\n",
       "      <td>947.0</td>\n",
       "      <td>1060.737081</td>\n",
       "      <td>914.424847</td>\n",
       "      <td>113.737081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:10:00</th>\n",
       "      <td>947.1</td>\n",
       "      <td>1060.722990</td>\n",
       "      <td>914.425000</td>\n",
       "      <td>113.622990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:11:00</th>\n",
       "      <td>947.0</td>\n",
       "      <td>1060.708889</td>\n",
       "      <td>914.425152</td>\n",
       "      <td>113.708889</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:12:00</th>\n",
       "      <td>946.8</td>\n",
       "      <td>1060.694768</td>\n",
       "      <td>914.425301</td>\n",
       "      <td>113.894768</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:13:00</th>\n",
       "      <td>946.8</td>\n",
       "      <td>1060.680646</td>\n",
       "      <td>914.425450</td>\n",
       "      <td>113.880646</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-21 10:14:00</th>\n",
       "      <td>947.1</td>\n",
       "      <td>1060.666556</td>\n",
       "      <td>914.425603</td>\n",
       "      <td>113.566556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:15:00</th>\n",
       "      <td>944.2</td>\n",
       "      <td>1060.652172</td>\n",
       "      <td>914.425723</td>\n",
       "      <td>116.452172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:16:00</th>\n",
       "      <td>949.5</td>\n",
       "      <td>1060.638323</td>\n",
       "      <td>914.425904</td>\n",
       "      <td>111.138323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:17:00</th>\n",
       "      <td>949.5</td>\n",
       "      <td>1060.624475</td>\n",
       "      <td>914.426073</td>\n",
       "      <td>111.124475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:18:00</th>\n",
       "      <td>947.8</td>\n",
       "      <td>1060.610455</td>\n",
       "      <td>914.426222</td>\n",
       "      <td>112.810455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:19:00</th>\n",
       "      <td>947.8</td>\n",
       "      <td>1060.596434</td>\n",
       "      <td>914.426372</td>\n",
       "      <td>112.796434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:20:00</th>\n",
       "      <td>947.2</td>\n",
       "      <td>1060.582354</td>\n",
       "      <td>914.426514</td>\n",
       "      <td>113.382354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:21:00</th>\n",
       "      <td>946.8</td>\n",
       "      <td>1060.568232</td>\n",
       "      <td>914.426652</td>\n",
       "      <td>113.768232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:22:00</th>\n",
       "      <td>946.8</td>\n",
       "      <td>1060.554111</td>\n",
       "      <td>914.426790</td>\n",
       "      <td>113.754111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:23:00</th>\n",
       "      <td>946.8</td>\n",
       "      <td>1060.539990</td>\n",
       "      <td>914.426928</td>\n",
       "      <td>113.739990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:24:00</th>\n",
       "      <td>946.9</td>\n",
       "      <td>1060.525879</td>\n",
       "      <td>914.427067</td>\n",
       "      <td>113.625879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:25:00</th>\n",
       "      <td>946.9</td>\n",
       "      <td>1060.511768</td>\n",
       "      <td>914.427229</td>\n",
       "      <td>113.611768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:26:00</th>\n",
       "      <td>947.9</td>\n",
       "      <td>1060.497758</td>\n",
       "      <td>914.427403</td>\n",
       "      <td>112.597758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:27:00</th>\n",
       "      <td>948.2</td>\n",
       "      <td>1060.483778</td>\n",
       "      <td>914.427557</td>\n",
       "      <td>112.283778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:28:00</th>\n",
       "      <td>948.8</td>\n",
       "      <td>1060.469859</td>\n",
       "      <td>914.427718</td>\n",
       "      <td>111.669859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-21 10:29:00</th>\n",
       "      <td>949.0</td>\n",
       "      <td>1060.455646</td>\n",
       "      <td>914.427894</td>\n",
       "      <td>111.455646</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>2016-12-30 18:13:00</th>\n",
       "      <td>1248.0</td>\n",
       "      <td>1251.911364</td>\n",
       "      <td>1334.510540</td>\n",
       "      <td>3.911364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:14:00</th>\n",
       "      <td>1246.5</td>\n",
       "      <td>1251.916313</td>\n",
       "      <td>1334.510143</td>\n",
       "      <td>5.416313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:15:00</th>\n",
       "      <td>1245.0</td>\n",
       "      <td>1251.921111</td>\n",
       "      <td>1334.509728</td>\n",
       "      <td>6.921111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:16:00</th>\n",
       "      <td>1248.0</td>\n",
       "      <td>1251.926212</td>\n",
       "      <td>1334.509331</td>\n",
       "      <td>3.926212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:17:00</th>\n",
       "      <td>1248.0</td>\n",
       "      <td>1251.931212</td>\n",
       "      <td>1334.508957</td>\n",
       "      <td>3.931212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:18:00</th>\n",
       "      <td>1245.0</td>\n",
       "      <td>1251.935808</td>\n",
       "      <td>1334.508543</td>\n",
       "      <td>6.935808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:19:00</th>\n",
       "      <td>1245.5</td>\n",
       "      <td>1251.940404</td>\n",
       "      <td>1334.508140</td>\n",
       "      <td>6.440404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:20:00</th>\n",
       "      <td>1247.5</td>\n",
       "      <td>1251.945253</td>\n",
       "      <td>1334.507807</td>\n",
       "      <td>4.445253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:21:00</th>\n",
       "      <td>1247.5</td>\n",
       "      <td>1251.950101</td>\n",
       "      <td>1334.507474</td>\n",
       "      <td>4.450101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:22:00</th>\n",
       "      <td>1247.5</td>\n",
       "      <td>1251.954949</td>\n",
       "      <td>1334.507112</td>\n",
       "      <td>4.454949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:23:00</th>\n",
       "      <td>1248.0</td>\n",
       "      <td>1251.959848</td>\n",
       "      <td>1334.506733</td>\n",
       "      <td>3.959848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:24:00</th>\n",
       "      <td>1248.0</td>\n",
       "      <td>1251.964899</td>\n",
       "      <td>1334.506371</td>\n",
       "      <td>3.964899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:25:00</th>\n",
       "      <td>1248.0</td>\n",
       "      <td>1251.969899</td>\n",
       "      <td>1334.506008</td>\n",
       "      <td>3.969899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:26:00</th>\n",
       "      <td>1248.0</td>\n",
       "      <td>1251.974747</td>\n",
       "      <td>1334.505646</td>\n",
       "      <td>3.974747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:27:00</th>\n",
       "      <td>1245.0</td>\n",
       "      <td>1251.979293</td>\n",
       "      <td>1334.505273</td>\n",
       "      <td>6.979293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:28:00</th>\n",
       "      <td>1246.0</td>\n",
       "      <td>1251.984040</td>\n",
       "      <td>1334.504911</td>\n",
       "      <td>5.984040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:29:00</th>\n",
       "      <td>1249.5</td>\n",
       "      <td>1251.989091</td>\n",
       "      <td>1334.504590</td>\n",
       "      <td>2.489091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:30:00</th>\n",
       "      <td>1249.5</td>\n",
       "      <td>1251.993889</td>\n",
       "      <td>1334.504268</td>\n",
       "      <td>2.493889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:31:00</th>\n",
       "      <td>1247.5</td>\n",
       "      <td>1251.998788</td>\n",
       "      <td>1334.503924</td>\n",
       "      <td>4.498788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:32:00</th>\n",
       "      <td>1248.5</td>\n",
       "      <td>1252.003788</td>\n",
       "      <td>1334.503591</td>\n",
       "      <td>3.503788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:33:00</th>\n",
       "      <td>1249.0</td>\n",
       "      <td>1252.006919</td>\n",
       "      <td>1334.503270</td>\n",
       "      <td>3.006919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:34:00</th>\n",
       "      <td>1249.0</td>\n",
       "      <td>1252.010101</td>\n",
       "      <td>1334.502949</td>\n",
       "      <td>3.010101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:35:00</th>\n",
       "      <td>1249.0</td>\n",
       "      <td>1252.013283</td>\n",
       "      <td>1334.502616</td>\n",
       "      <td>3.013283</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:36:00</th>\n",
       "      <td>1245.5</td>\n",
       "      <td>1252.015960</td>\n",
       "      <td>1334.502242</td>\n",
       "      <td>6.515960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:37:00</th>\n",
       "      <td>1246.0</td>\n",
       "      <td>1252.018687</td>\n",
       "      <td>1334.501874</td>\n",
       "      <td>6.018687</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:38:00</th>\n",
       "      <td>1248.5</td>\n",
       "      <td>1252.021768</td>\n",
       "      <td>1334.501536</td>\n",
       "      <td>3.521768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:39:00</th>\n",
       "      <td>1248.5</td>\n",
       "      <td>1252.024798</td>\n",
       "      <td>1334.501168</td>\n",
       "      <td>3.524798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:40:00</th>\n",
       "      <td>1248.5</td>\n",
       "      <td>1252.028131</td>\n",
       "      <td>1334.500800</td>\n",
       "      <td>3.528131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:46:00</th>\n",
       "      <td>1247.5</td>\n",
       "      <td>1252.031364</td>\n",
       "      <td>1334.500444</td>\n",
       "      <td>4.531364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-12-30 18:49:00</th>\n",
       "      <td>1247.5</td>\n",
       "      <td>1252.034545</td>\n",
       "      <td>1334.500105</td>\n",
       "      <td>4.534545</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>125793 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      price        ma_30       ma_273  diff_ma_price\n",
       "datetime                                                            \n",
       "2016-01-20 18:46:00   912.5  1060.870848   914.424248     148.370848\n",
       "2016-01-21 10:01:00   936.9  1060.855495   914.424270     123.955495\n",
       "2016-01-21 10:02:00   930.4  1060.839485   914.424216     130.439485\n",
       "2016-01-21 10:03:00   930.7  1060.823505   914.424166     130.123505\n",
       "2016-01-21 10:04:00   935.0  1060.808121   914.424166     125.808121\n",
       "2016-01-21 10:05:00   945.5  1060.793778   914.424289     115.293778\n",
       "2016-01-21 10:06:00   940.9  1060.779091   914.424357     119.879091\n",
       "2016-01-21 10:07:00   949.9  1060.765283   914.424543     110.865283\n",
       "2016-01-21 10:08:00   947.0  1060.751182   914.424695     113.751182\n",
       "2016-01-21 10:09:00   947.0  1060.737081   914.424847     113.737081\n",
       "2016-01-21 10:10:00   947.1  1060.722990   914.425000     113.622990\n",
       "2016-01-21 10:11:00   947.0  1060.708889   914.425152     113.708889\n",
       "2016-01-21 10:12:00   946.8  1060.694768   914.425301     113.894768\n",
       "2016-01-21 10:13:00   946.8  1060.680646   914.425450     113.880646\n",
       "2016-01-21 10:14:00   947.1  1060.666556   914.425603     113.566556\n",
       "2016-01-21 10:15:00   944.2  1060.652172   914.425723     116.452172\n",
       "2016-01-21 10:16:00   949.5  1060.638323   914.425904     111.138323\n",
       "2016-01-21 10:17:00   949.5  1060.624475   914.426073     111.124475\n",
       "2016-01-21 10:18:00   947.8  1060.610455   914.426222     112.810455\n",
       "2016-01-21 10:19:00   947.8  1060.596434   914.426372     112.796434\n",
       "2016-01-21 10:20:00   947.2  1060.582354   914.426514     113.382354\n",
       "2016-01-21 10:21:00   946.8  1060.568232   914.426652     113.768232\n",
       "2016-01-21 10:22:00   946.8  1060.554111   914.426790     113.754111\n",
       "2016-01-21 10:23:00   946.8  1060.539990   914.426928     113.739990\n",
       "2016-01-21 10:24:00   946.9  1060.525879   914.427067     113.625879\n",
       "2016-01-21 10:25:00   946.9  1060.511768   914.427229     113.611768\n",
       "2016-01-21 10:26:00   947.9  1060.497758   914.427403     112.597758\n",
       "2016-01-21 10:27:00   948.2  1060.483778   914.427557     112.283778\n",
       "2016-01-21 10:28:00   948.8  1060.469859   914.427718     111.669859\n",
       "2016-01-21 10:29:00   949.0  1060.455646   914.427894     111.455646\n",
       "...                     ...          ...          ...            ...\n",
       "2016-12-30 18:13:00  1248.0  1251.911364  1334.510540       3.911364\n",
       "2016-12-30 18:14:00  1246.5  1251.916313  1334.510143       5.416313\n",
       "2016-12-30 18:15:00  1245.0  1251.921111  1334.509728       6.921111\n",
       "2016-12-30 18:16:00  1248.0  1251.926212  1334.509331       3.926212\n",
       "2016-12-30 18:17:00  1248.0  1251.931212  1334.508957       3.931212\n",
       "2016-12-30 18:18:00  1245.0  1251.935808  1334.508543       6.935808\n",
       "2016-12-30 18:19:00  1245.5  1251.940404  1334.508140       6.440404\n",
       "2016-12-30 18:20:00  1247.5  1251.945253  1334.507807       4.445253\n",
       "2016-12-30 18:21:00  1247.5  1251.950101  1334.507474       4.450101\n",
       "2016-12-30 18:22:00  1247.5  1251.954949  1334.507112       4.454949\n",
       "2016-12-30 18:23:00  1248.0  1251.959848  1334.506733       3.959848\n",
       "2016-12-30 18:24:00  1248.0  1251.964899  1334.506371       3.964899\n",
       "2016-12-30 18:25:00  1248.0  1251.969899  1334.506008       3.969899\n",
       "2016-12-30 18:26:00  1248.0  1251.974747  1334.505646       3.974747\n",
       "2016-12-30 18:27:00  1245.0  1251.979293  1334.505273       6.979293\n",
       "2016-12-30 18:28:00  1246.0  1251.984040  1334.504911       5.984040\n",
       "2016-12-30 18:29:00  1249.5  1251.989091  1334.504590       2.489091\n",
       "2016-12-30 18:30:00  1249.5  1251.993889  1334.504268       2.493889\n",
       "2016-12-30 18:31:00  1247.5  1251.998788  1334.503924       4.498788\n",
       "2016-12-30 18:32:00  1248.5  1252.003788  1334.503591       3.503788\n",
       "2016-12-30 18:33:00  1249.0  1252.006919  1334.503270       3.006919\n",
       "2016-12-30 18:34:00  1249.0  1252.010101  1334.502949       3.010101\n",
       "2016-12-30 18:35:00  1249.0  1252.013283  1334.502616       3.013283\n",
       "2016-12-30 18:36:00  1245.5  1252.015960  1334.502242       6.515960\n",
       "2016-12-30 18:37:00  1246.0  1252.018687  1334.501874       6.018687\n",
       "2016-12-30 18:38:00  1248.5  1252.021768  1334.501536       3.521768\n",
       "2016-12-30 18:39:00  1248.5  1252.024798  1334.501168       3.524798\n",
       "2016-12-30 18:40:00  1248.5  1252.028131  1334.500800       3.528131\n",
       "2016-12-30 18:46:00  1247.5  1252.031364  1334.500444       4.531364\n",
       "2016-12-30 18:49:00  1247.5  1252.034545  1334.500105       4.534545\n",
       "\n",
       "[125793 rows x 4 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[df4.index[-1]:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видно, что цена в 2016-01-21 10:01:00 пробивает МА"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df[['price', 'ma_30', 'ma_273']][df.index > '2015-09-01'].plot(figsize=(30, 8), grid=True, zorder=1)\n",
    "plt.scatter(df3.index[0], df3.price[0], marker='^', s=100, c='r', zorder=2)\n",
    "plt.scatter(df2.index[0], df2.price[0], marker='v', s=100, c='r', zorder=2)\n",
    "plt.scatter(df.loc[df4.index[-1]:].index[1], df.loc[df4.index[-1]:].price[1], marker='^', s=100, c='r', zorder=2)\n",
    "plt.scatter(df5.index[0], df5.price[0], marker='v', s=100, c='r', zorder=2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "profit2 += (df5.price[0] - df.loc[df4.index[-1]:].price[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "513.8000000000001"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profit2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}