ChartsCryptocompareAlphavantage.ipynb

gistfile1.txt

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     "text": [
      "The nb_black extension is already loaded. To reload it, use:\n",
      "  %reload_ext nb_black\n",
      "Downloading day trading data for ETH USD from CCCAGG\n",
      "Filtering 0 empty datapoints\n",
      "Saving data to ETH_USD_CCCAGG_day_2020-03-15.csv\n",
      "Reading data from ETH_USD_CCCAGG_day_2020-03-15.csv\n",
      "(51, 6)\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 6;\n",
       "                var nbb_unformatted_code = \"%load_ext nb_black\\nfrom_symbol = \\\"ETH\\\"\\nto_symbol = \\\"USD\\\"\\nexchange = \\\"CCCAGG\\\"\\ndatetime_interval = \\\"day\\\"\\nimport pandas as pd\\nimport requests\\nfrom datetime import datetime\\n\\n\\ndef get_filename(from_symbol, to_symbol, exchange, datetime_interval, download_date):\\n    return \\\"%s_%s_%s_%s_%s.csv\\\" % (\\n        from_symbol,\\n        to_symbol,\\n        exchange,\\n        datetime_interval,\\n        download_date,\\n    )\\n\\n\\ndef download_data(from_symbol, to_symbol, exchange, datetime_interval):\\n    supported_intervals = {\\\"minute\\\", \\\"hour\\\", \\\"day\\\"}\\n    assert datetime_interval in supported_intervals, (\\n        \\\"datetime_interval should be one of %s\\\" % supported_intervals\\n    )\\n    print(\\n        \\\"Downloading %s trading data for %s %s from %s\\\"\\n        % (datetime_interval, from_symbol, to_symbol, exchange)\\n    )\\n    base_url = \\\"https://min-api.cryptocompare.com/data/histo\\\"\\n    url = \\\"%s%s\\\" % (base_url, datetime_interval)\\n    params = {\\n        \\\"fsym\\\": from_symbol,\\n        \\\"tsym\\\": to_symbol,\\n        \\\"limit\\\": 50,\\n        \\\"aggregate\\\": 1,\\n        \\\"e\\\": exchange,\\n    }\\n    request = requests.get(url, params=params)\\n    data = request.json()\\n    return data\\n\\n\\ndef convert_to_dataframe(data):\\n    df = pd.io.json.json_normalize(data, [\\\"Data\\\"])\\n    df[\\\"datetime\\\"] = pd.to_datetime(df.time, unit=\\\"s\\\")\\n    df = df[[\\\"datetime\\\", \\\"low\\\", \\\"high\\\", \\\"open\\\", \\\"close\\\", \\\"volumefrom\\\", \\\"volumeto\\\"]]\\n    return df\\n\\n\\ndef filter_empty_datapoints(df):\\n    indices = df[df.sum(axis=1) == 0].index\\n    print(\\\"Filtering %d empty datapoints\\\" % indices.shape[0])\\n    df = df.drop(indices)\\n    return df\\n\\n\\ndata = download_data(from_symbol, to_symbol, exchange, datetime_interval)\\ndf = convert_to_dataframe(data)\\ndf = filter_empty_datapoints(df)\\ncurrent_datetime = datetime.now().date().isoformat()\\nfilename = get_filename(\\n    from_symbol, to_symbol, exchange, datetime_interval, current_datetime\\n)\\nprint(\\\"Saving data to %s\\\" % filename)\\ndf.to_csv(filename, index=False)\\n\\nimport pandas as pd\\n\\n\\ndef read_dataset(filename):\\n    print(\\\"Reading data from %s\\\" % filename)\\n    df = pd.read_csv(filename)\\n    # change type from object to datetime\\n    df.datetime = pd.to_datetime(df.datetime)\\n    df = df.set_index(\\\"datetime\\\")\\n    df = df.sort_index()  # sort by datetime\\n    print(df.shape)\\n    return df\\n\\n\\ndf9 = read_dataset(filename)\";\n",
       "                var nbb_formatted_code = \"%load_ext nb_black\\nfrom_symbol = \\\"ETH\\\"\\nto_symbol = \\\"USD\\\"\\nexchange = \\\"CCCAGG\\\"\\ndatetime_interval = \\\"day\\\"\\nimport pandas as pd\\nimport requests\\nfrom datetime import datetime\\n\\n\\ndef get_filename(from_symbol, to_symbol, exchange, datetime_interval, download_date):\\n    return \\\"%s_%s_%s_%s_%s.csv\\\" % (\\n        from_symbol,\\n        to_symbol,\\n        exchange,\\n        datetime_interval,\\n        download_date,\\n    )\\n\\n\\ndef download_data(from_symbol, to_symbol, exchange, datetime_interval):\\n    supported_intervals = {\\\"minute\\\", \\\"hour\\\", \\\"day\\\"}\\n    assert datetime_interval in supported_intervals, (\\n        \\\"datetime_interval should be one of %s\\\" % supported_intervals\\n    )\\n    print(\\n        \\\"Downloading %s trading data for %s %s from %s\\\"\\n        % (datetime_interval, from_symbol, to_symbol, exchange)\\n    )\\n    base_url = \\\"https://min-api.cryptocompare.com/data/histo\\\"\\n    url = \\\"%s%s\\\" % (base_url, datetime_interval)\\n    params = {\\n        \\\"fsym\\\": from_symbol,\\n        \\\"tsym\\\": to_symbol,\\n        \\\"limit\\\": 50,\\n        \\\"aggregate\\\": 1,\\n        \\\"e\\\": exchange,\\n    }\\n    request = requests.get(url, params=params)\\n    data = request.json()\\n    return data\\n\\n\\ndef convert_to_dataframe(data):\\n    df = pd.io.json.json_normalize(data, [\\\"Data\\\"])\\n    df[\\\"datetime\\\"] = pd.to_datetime(df.time, unit=\\\"s\\\")\\n    df = df[[\\\"datetime\\\", \\\"low\\\", \\\"high\\\", \\\"open\\\", \\\"close\\\", \\\"volumefrom\\\", \\\"volumeto\\\"]]\\n    return df\\n\\n\\ndef filter_empty_datapoints(df):\\n    indices = df[df.sum(axis=1) == 0].index\\n    print(\\\"Filtering %d empty datapoints\\\" % indices.shape[0])\\n    df = df.drop(indices)\\n    return df\\n\\n\\ndata = download_data(from_symbol, to_symbol, exchange, datetime_interval)\\ndf = convert_to_dataframe(data)\\ndf = filter_empty_datapoints(df)\\ncurrent_datetime = datetime.now().date().isoformat()\\nfilename = get_filename(\\n    from_symbol, to_symbol, exchange, datetime_interval, current_datetime\\n)\\nprint(\\\"Saving data to %s\\\" % filename)\\ndf.to_csv(filename, index=False)\\n\\nimport pandas as pd\\n\\n\\ndef read_dataset(filename):\\n    print(\\\"Reading data from %s\\\" % filename)\\n    df = pd.read_csv(filename)\\n    # change type from object to datetime\\n    df.datetime = pd.to_datetime(df.datetime)\\n    df = df.set_index(\\\"datetime\\\")\\n    df = df.sort_index()  # sort by datetime\\n    print(df.shape)\\n    return df\\n\\n\\ndf9 = read_dataset(filename)\";\n",
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       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
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   "source": [
    "%load_ext nb_black\n",
    "from_symbol = \"ETH\"\n",
    "to_symbol = \"USD\"\n",
    "exchange = \"CCCAGG\"\n",
    "datetime_interval = \"day\"\n",
    "import pandas as pd\n",
    "import requests\n",
    "from datetime import datetime\n",
    "\n",
    "\n",
    "def get_filename(from_symbol, to_symbol, exchange, datetime_interval, download_date):\n",
    "    return \"%s_%s_%s_%s_%s.csv\" % (\n",
    "        from_symbol,\n",
    "        to_symbol,\n",
    "        exchange,\n",
    "        datetime_interval,\n",
    "        download_date,\n",
    "    )\n",
    "\n",
    "\n",
    "def download_data(from_symbol, to_symbol, exchange, datetime_interval):\n",
    "    supported_intervals = {\"minute\", \"hour\", \"day\"}\n",
    "    assert datetime_interval in supported_intervals, (\n",
    "        \"datetime_interval should be one of %s\" % supported_intervals\n",
    "    )\n",
    "    print(\n",
    "        \"Downloading %s trading data for %s %s from %s\"\n",
    "        % (datetime_interval, from_symbol, to_symbol, exchange)\n",
    "    )\n",
    "    base_url = \"https://min-api.cryptocompare.com/data/histo\"\n",
    "    url = \"%s%s\" % (base_url, datetime_interval)\n",
    "    params = {\n",
    "        \"fsym\": from_symbol,\n",
    "        \"tsym\": to_symbol,\n",
    "        \"limit\": 50,\n",
    "        \"aggregate\": 1,\n",
    "        \"e\": exchange,\n",
    "    }\n",
    "    request = requests.get(url, params=params)\n",
    "    data = request.json()\n",
    "    return data\n",
    "\n",
    "\n",
    "def convert_to_dataframe(data):\n",
    "    df = pd.io.json.json_normalize(data, [\"Data\"])\n",
    "    df[\"datetime\"] = pd.to_datetime(df.time, unit=\"s\")\n",
    "    df = df[[\"datetime\", \"low\", \"high\", \"open\", \"close\", \"volumefrom\", \"volumeto\"]]\n",
    "    return df\n",
    "\n",
    "\n",
    "def filter_empty_datapoints(df):\n",
    "    indices = df[df.sum(axis=1) == 0].index\n",
    "    print(\"Filtering %d empty datapoints\" % indices.shape[0])\n",
    "    df = df.drop(indices)\n",
    "    return df\n",
    "\n",
    "\n",
    "data = download_data(from_symbol, to_symbol, exchange, datetime_interval)\n",
    "df = convert_to_dataframe(data)\n",
    "df = filter_empty_datapoints(df)\n",
    "current_datetime = datetime.now().date().isoformat()\n",
    "filename = get_filename(\n",
    "    from_symbol, to_symbol, exchange, datetime_interval, current_datetime\n",
    ")\n",
    "print(\"Saving data to %s\" % filename)\n",
    "df.to_csv(filename, index=False)\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "\n",
    "def read_dataset(filename):\n",
    "    print(\"Reading data from %s\" % filename)\n",
    "    df = pd.read_csv(filename)\n",
    "    # change type from object to datetime\n",
    "    df.datetime = pd.to_datetime(df.datetime)\n",
    "    df = df.set_index(\"datetime\")\n",
    "    df = df.sort_index()  # sort by datetime\n",
    "    print(df.shape)\n",
    "    return df\n",
    "\n",
    "\n",
    "df9 = read_dataset(filename)"
   ]
  },
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   "execution_count": 13,
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       "                var nbb_cell_id = 13;\n",
       "                var nbb_unformatted_code = \"P2PB2B = pd.read_csv(\\\"ETH_USD_P2PB2B_day_2020-03-15.csv\\\")\\nBitasset = pd.read_csv(\\\"ETH_USD_bitasset_day_2020-03-15.csv\\\")\\nCCCAGG = pd.read_csv(\\\"ETH_USD_CCCAGG_day_2020-03-15.csv\\\")\\nP2PB2B.set_index(\\\"datetime\\\", inplace=True)\\nBitasset.set_index(\\\"datetime\\\", inplace=True)\\nCCCAGG.set_index(\\\"datetime\\\", inplace=True)\";\n",
       "                var nbb_formatted_code = \"P2PB2B = pd.read_csv(\\\"ETH_USD_P2PB2B_day_2020-03-15.csv\\\")\\nBitasset = pd.read_csv(\\\"ETH_USD_bitasset_day_2020-03-15.csv\\\")\\nCCCAGG = pd.read_csv(\\\"ETH_USD_CCCAGG_day_2020-03-15.csv\\\")\\nP2PB2B.set_index(\\\"datetime\\\", inplace=True)\\nBitasset.set_index(\\\"datetime\\\", inplace=True)\\nCCCAGG.set_index(\\\"datetime\\\", inplace=True)\";\n",
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   "source": [
    "P2PB2B = pd.read_csv(\"ETH_USD_P2PB2B_day_2020-03-15.csv\")\n",
    "Bitasset = pd.read_csv(\"ETH_USD_bitasset_day_2020-03-15.csv\")\n",
    "CCCAGG = pd.read_csv(\"ETH_USD_CCCAGG_day_2020-03-15.csv\")\n",
    "P2PB2B.set_index(\"datetime\", inplace=True)\n",
    "Bitasset.set_index(\"datetime\", inplace=True)\n",
    "CCCAGG.set_index(\"datetime\", inplace=True)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 51,
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    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 51;\n",
       "                var nbb_unformatted_code = \"import matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport matplotlib.dates as mdates\\n\\n# sns.set()\\nplt.figure(figsize=(13, 8))\\nplt.xticks(rotation=60)\\nplt.plot(Bitasset.index, Bitasset[\\\"volumefrom\\\"], label=\\\"Bitasset\\\")\\nplt.plot(P2PB2B.index, P2PB2B[\\\"volumefrom\\\"], label=\\\"P2PB2B\\\")\\nplt.plot(CCCAGG.index, CCCAGG[\\\"volumefrom\\\"], label=\\\"CCCAGG\\\")\\nplt.legend(loc=\\\"upper left\\\")\\nplt.show()\";\n",
       "                var nbb_formatted_code = \"import matplotlib.pyplot as plt\\nimport seaborn as sns\\nimport matplotlib.dates as mdates\\n\\n# sns.set()\\nplt.figure(figsize=(13, 8))\\nplt.xticks(rotation=60)\\nplt.plot(Bitasset.index, Bitasset[\\\"volumefrom\\\"], label=\\\"Bitasset\\\")\\nplt.plot(P2PB2B.index, P2PB2B[\\\"volumefrom\\\"], label=\\\"P2PB2B\\\")\\nplt.plot(CCCAGG.index, CCCAGG[\\\"volumefrom\\\"], label=\\\"CCCAGG\\\")\\nplt.legend(loc=\\\"upper left\\\")\\nplt.show()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "# sns.set()\n",
    "plt.figure(figsize=(13, 8))\n",
    "plt.xticks(rotation=60)\n",
    "plt.plot(Bitasset.index, Bitasset[\"volumefrom\"], label=\"Bitasset\")\n",
    "plt.plot(P2PB2B.index, P2PB2B[\"volumefrom\"], label=\"P2PB2B\")\n",
    "plt.plot(CCCAGG.index, CCCAGG[\"volumefrom\"], label=\"CCCAGG\")\n",
    "plt.legend(loc=\"upper left\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 53;\n",
       "                var nbb_unformatted_code = \"plt.figure(figsize=(13, 8))\\nplt.xticks(rotation=60)\\nplt.plot(Bitasset.index, Bitasset[\\\"close\\\"], label=\\\"Bitasset\\\")\\nplt.plot(P2PB2B.index, P2PB2B[\\\"close\\\"], label=\\\"P2PB2B\\\")\\nplt.plot(CCCAGG.index, CCCAGG[\\\"close\\\"], label=\\\"CCCAGG\\\")\\nplt.legend(loc=\\\"upper left\\\")\\nplt.show()\";\n",
       "                var nbb_formatted_code = \"plt.figure(figsize=(13, 8))\\nplt.xticks(rotation=60)\\nplt.plot(Bitasset.index, Bitasset[\\\"close\\\"], label=\\\"Bitasset\\\")\\nplt.plot(P2PB2B.index, P2PB2B[\\\"close\\\"], label=\\\"P2PB2B\\\")\\nplt.plot(CCCAGG.index, CCCAGG[\\\"close\\\"], label=\\\"CCCAGG\\\")\\nplt.legend(loc=\\\"upper left\\\")\\nplt.show()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(13, 8))\n",
    "plt.xticks(rotation=60)\n",
    "plt.plot(Bitasset.index, Bitasset[\"close\"], label=\"Bitasset\")\n",
    "plt.plot(P2PB2B.index, P2PB2B[\"close\"], label=\"P2PB2B\")\n",
    "plt.plot(CCCAGG.index, CCCAGG[\"close\"], label=\"CCCAGG\")\n",
    "plt.legend(loc=\"upper left\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "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>date</th>\n",
       "      <th>5. volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-01-25</td>\n",
       "      <td>2.199217e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-01-26</td>\n",
       "      <td>2.515826e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-01-27</td>\n",
       "      <td>3.658948e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-01-28</td>\n",
       "      <td>4.734339e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-01-29</td>\n",
       "      <td>3.173829e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2020-01-30</td>\n",
       "      <td>4.777217e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2020-01-31</td>\n",
       "      <td>3.855965e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020-02-01</td>\n",
       "      <td>2.593701e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2020-02-02</td>\n",
       "      <td>5.526211e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2020-02-03</td>\n",
       "      <td>4.171760e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2020-02-04</td>\n",
       "      <td>3.663897e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2020-02-05</td>\n",
       "      <td>5.509421e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2020-02-06</td>\n",
       "      <td>6.082402e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2020-02-07</td>\n",
       "      <td>6.293612e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2020-02-08</td>\n",
       "      <td>5.485519e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2020-02-09</td>\n",
       "      <td>3.503362e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>2020-02-10</td>\n",
       "      <td>5.104155e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>2020-02-11</td>\n",
       "      <td>5.955769e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2020-02-12</td>\n",
       "      <td>1.038074e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2020-02-13</td>\n",
       "      <td>1.089679e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020-02-14</td>\n",
       "      <td>7.349443e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2020-02-15</td>\n",
       "      <td>8.608131e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020-02-16</td>\n",
       "      <td>1.110118e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020-02-17</td>\n",
       "      <td>1.110371e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2020-02-18</td>\n",
       "      <td>1.115523e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2020-02-19</td>\n",
       "      <td>7.059737e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2020-02-20</td>\n",
       "      <td>9.729697e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2020-02-21</td>\n",
       "      <td>5.258279e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2020-02-22</td>\n",
       "      <td>3.130625e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2020-02-23</td>\n",
       "      <td>4.447408e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2020-02-24</td>\n",
       "      <td>6.965917e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2020-02-25</td>\n",
       "      <td>7.747910e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2020-02-26</td>\n",
       "      <td>1.395879e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2020-02-27</td>\n",
       "      <td>1.273793e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2020-02-28</td>\n",
       "      <td>1.054995e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2020-02-29</td>\n",
       "      <td>5.468667e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2020-03-01</td>\n",
       "      <td>7.150160e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2020-03-02</td>\n",
       "      <td>8.100515e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2020-03-03</td>\n",
       "      <td>7.414985e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>4.437803e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2020-03-05</td>\n",
       "      <td>6.014799e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2020-03-06</td>\n",
       "      <td>6.281473e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2020-03-07</td>\n",
       "      <td>6.337489e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2020-03-08</td>\n",
       "      <td>1.278974e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2020-03-09</td>\n",
       "      <td>1.661332e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2020-03-10</td>\n",
       "      <td>1.020260e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>1.079825e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2020-03-12</td>\n",
       "      <td>3.814533e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2020-03-13</td>\n",
       "      <td>4.663240e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2020-03-14</td>\n",
       "      <td>1.237675e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2020-03-15</td>\n",
       "      <td>3.825853e+04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date     5. volume\n",
       "0  2020-01-25  2.199217e+05\n",
       "1  2020-01-26  2.515826e+05\n",
       "2  2020-01-27  3.658948e+05\n",
       "3  2020-01-28  4.734339e+05\n",
       "4  2020-01-29  3.173829e+05\n",
       "5  2020-01-30  4.777217e+05\n",
       "6  2020-01-31  3.855965e+05\n",
       "7  2020-02-01  2.593701e+05\n",
       "8  2020-02-02  5.526211e+05\n",
       "9  2020-02-03  4.171760e+05\n",
       "10 2020-02-04  3.663897e+05\n",
       "11 2020-02-05  5.509421e+05\n",
       "12 2020-02-06  6.082402e+05\n",
       "13 2020-02-07  6.293612e+05\n",
       "14 2020-02-08  5.485519e+05\n",
       "15 2020-02-09  3.503362e+05\n",
       "16 2020-02-10  5.104155e+05\n",
       "17 2020-02-11  5.955769e+05\n",
       "18 2020-02-12  1.038074e+06\n",
       "19 2020-02-13  1.089679e+06\n",
       "20 2020-02-14  7.349443e+05\n",
       "21 2020-02-15  8.608131e+05\n",
       "22 2020-02-16  1.110118e+06\n",
       "23 2020-02-17  1.110371e+06\n",
       "24 2020-02-18  1.115523e+06\n",
       "25 2020-02-19  7.059737e+05\n",
       "26 2020-02-20  9.729697e+05\n",
       "27 2020-02-21  5.258279e+05\n",
       "28 2020-02-22  3.130625e+05\n",
       "29 2020-02-23  4.447408e+05\n",
       "30 2020-02-24  6.965917e+05\n",
       "31 2020-02-25  7.747910e+05\n",
       "32 2020-02-26  1.395879e+06\n",
       "33 2020-02-27  1.273793e+06\n",
       "34 2020-02-28  1.054995e+06\n",
       "35 2020-02-29  5.468667e+05\n",
       "36 2020-03-01  7.150160e+05\n",
       "37 2020-03-02  8.100515e+05\n",
       "38 2020-03-03  7.414985e+05\n",
       "39 2020-03-04  4.437803e+05\n",
       "40 2020-03-05  6.014799e+05\n",
       "41 2020-03-06  6.281473e+05\n",
       "42 2020-03-07  6.337489e+05\n",
       "43 2020-03-08  1.278974e+06\n",
       "44 2020-03-09  1.661332e+06\n",
       "45 2020-03-10  1.020260e+06\n",
       "46 2020-03-11  1.079825e+06\n",
       "47 2020-03-12  3.814533e+06\n",
       "48 2020-03-13  4.663240e+06\n",
       "49 2020-03-14  1.237675e+06\n",
       "50 2020-03-15  3.825853e+04"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 56;\n",
       "                var nbb_unformatted_code = \"from alpha_vantage.cryptocurrencies import CryptoCurrencies\\nimport matplotlib.pyplot as plt\\n\\ncc = CryptoCurrencies(key=\\\"E5HWGIFOEQHWS72Z\\\", output_format=\\\"pandas\\\")\\ndata, meta_data = cc.get_digital_currency_daily(symbol=\\\"ETH\\\", market=\\\"USD\\\")\\nimport pandas as pd\\n\\ndf2 = pd.DataFrame(data.tail(51)[\\\"5. volume\\\"]).reset_index()\\ndf2[\\\"date\\\"] = pd.to_datetime(df2[\\\"date\\\"])\\ndf2\";\n",
       "                var nbb_formatted_code = \"from alpha_vantage.cryptocurrencies import CryptoCurrencies\\nimport matplotlib.pyplot as plt\\n\\ncc = CryptoCurrencies(key=\\\"E5HWGIFOEQHWS72Z\\\", output_format=\\\"pandas\\\")\\ndata, meta_data = cc.get_digital_currency_daily(symbol=\\\"ETH\\\", market=\\\"USD\\\")\\nimport pandas as pd\\n\\ndf2 = pd.DataFrame(data.tail(51)[\\\"5. volume\\\"]).reset_index()\\ndf2[\\\"date\\\"] = pd.to_datetime(df2[\\\"date\\\"])\\ndf2\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from alpha_vantage.cryptocurrencies import CryptoCurrencies\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "cc = CryptoCurrencies(key=\"YOURAPIKEY\", output_format=\"pandas\")\n",
    "data, meta_data = cc.get_digital_currency_daily(symbol=\"ETH\", market=\"USD\")\n",
    "import pandas as pd\n",
    "\n",
    "df2 = pd.DataFrame(data.tail(51)[\"5. volume\"]).reset_index()\n",
    "df2[\"date\"] = pd.to_datetime(df2[\"date\"])\n",
    "df2.set_index('date',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 936x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "            setTimeout(function() {\n",
       "                var nbb_cell_id = 58;\n",
       "                var nbb_unformatted_code = \"plt.figure(figsize=(13, 8))\\nplt.xticks(rotation=60)\\nplt.plot(df2.index, df2[\\\"5. volume\\\"], label=\\\"AlphaVantage\\\")\\nplt.plot(CCCAGG.index, CCCAGG[\\\"volumefrom\\\"], label=\\\"CCCAGG\\\")\\nplt.legend(loc=\\\"upper left\\\")\\nplt.show()\";\n",
       "                var nbb_formatted_code = \"plt.figure(figsize=(13, 8))\\nplt.xticks(rotation=60)\\nplt.plot(df2.index, df2[\\\"5. volume\\\"], label=\\\"AlphaVantage\\\")\\nplt.plot(CCCAGG.index, CCCAGG[\\\"volumefrom\\\"], label=\\\"CCCAGG\\\")\\nplt.legend(loc=\\\"upper left\\\")\\nplt.show()\";\n",
       "                var nbb_cells = Jupyter.notebook.get_cells();\n",
       "                for (var i = 0; i < nbb_cells.length; ++i) {\n",
       "                    if (nbb_cells[i].input_prompt_number == nbb_cell_id) {\n",
       "                        if (nbb_cells[i].get_text() == nbb_unformatted_code) {\n",
       "                             nbb_cells[i].set_text(nbb_formatted_code);\n",
       "                        }\n",
       "                        break;\n",
       "                    }\n",
       "                }\n",
       "            }, 500);\n",
       "            "
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(13, 8))\n",
    "plt.xticks(rotation=60)\n",
    "plt.plot(df2.index, df2[\"5. volume\"], label=\"AlphaVantage\")\n",
    "plt.plot(CCCAGG.index, CCCAGG[\"volumefrom\"], label=\"CCCAGG\")\n",
    "plt.legend(loc=\"upper left\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:root] *",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}