{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fe7a8ee6-b48c-4e85-b86b-681cf4f9a192",
   "metadata": {
    "lines_to_next_cell": 1
   },
   "source": [
    "<img src=\"https://5264302.fs1.hubspotusercontent-na1.net/hubfs/5264302/Demo%20Asset%20Resources/CM-Demo-mdf-exchange-volume-Cover.png\" width=1100 margin-left='auto' margin-right='auto'/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "212a48bc-3203-41c9-87ea-f8c8238bdb15",
   "metadata": {},
   "source": [
    "Though decentralized finance has garnered significant attention in recent years, centralized exchanges remain a crucial cornerstone of the crypto asset industry. These trading venues serve as some of the deepest pools of liquidity for the top crypto assets, and facilitate the onboarding and offboarding of millions of users by sitting at the intersection of digital assets and fiat currencies. Coin Metrics collects a wide variety of data from a universe of 39+ top crypto exchanges, allowing our users to easily assess exchange dominance, asset trading volumes, and even the composition of trading patterns in specific markets.\n",
    "\n",
    "## Resources\n",
    "This notebook demonstrates basic functionality offered by the Coin Metrics Python API Client and Market Data Feed.\n",
    "\n",
    "Coin Metrics offers a vast assortment of data for hundreds of cryptoassets. The Python API Client allows for easy access to this data using Python without needing to create your own wrappers using `requests` and other such libraries.\n",
    "\n",
    "To understand the data that Coin Metrics offers, feel free to peruse the resources below.\n",
    "\n",
    "- The [Coin Metrics API v4](https://docs.coinmetrics.io/api/v4) website contains the full set of endpoints and data offered by Coin Metrics.\n",
    "- The [Coin Metrics Product Documentation](https://docs.coinmetrics.io/info) gives detailed, conceptual explanations of the data that Coin Metrics offers.\n",
    "- The [API Spec](https://docs.coinmetrics.io/python-api-client/reference) contains a full list of functions."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d767e5cb-9c6a-48ca-850c-ef5938b18241",
   "metadata": {},
   "source": [
    "## Notebook Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "198a43a2-405f-4e3d-88bc-97f576ad30ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "from os import environ\n",
    "import sys\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import logging\n",
    "from datetime import date, datetime, timedelta\n",
    "from coinmetrics.api_client import CoinMetricsClient\n",
    "import json\n",
    "import logging\n",
    "import matplotlib.pyplot as plt\n",
    "# import plotly.express as px\n",
    "# import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "233d7d17-77cf-4da0-b586-3ad688832897",
   "metadata": {},
   "outputs": [],
   "source": [
    "logging.basicConfig(\n",
    "    format='%(asctime)s %(levelname)-8s %(message)s',\n",
    "    level=logging.INFO,\n",
    "    datefmt='%Y-%m-%d %H:%M:%S'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d4cc4b8c-57e9-4170-bef2-470bebd4ff23",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-07 12:48:33 INFO     Using API key found in environment\n"
     ]
    }
   ],
   "source": [
    "# We recommend privately storing your API key in your local environment.\n",
    "try:\n",
    "    api_key = environ[\"CM_API_KEY\"]\n",
    "    logging.info(\"Using API key found in environment\")\n",
    "except KeyError:\n",
    "    api_key = \"\"\n",
    "    logging.info(\"API key not found. Using community client\")\n",
    "client = CoinMetricsClient(api_key)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45b8adef-a3b4-49ac-83ab-1603fa1a3f13",
   "metadata": {},
   "source": [
    "## Daily Exchange Volumes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ca4072f-52a9-41a1-bcf6-c9012b8c03f8",
   "metadata": {},
   "source": [
    "Coin Metrics creates aggregated metrics to allow users to easily compare the total trading volume of dominant centralized exchanges. By leveraging the *timeseries/exchange-metrics* endpoint, we can retrieve the daily reported spot trading volume for a single trading venue or a list of exchanges."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3c51e908-b668-4ebe-aa50-dbafb62f412f",
   "metadata": {},
   "outputs": [],
   "source": [
    "end = pd.to_datetime(datetime.now())\n",
    "start = end - timedelta(days=28)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "95d4c640-9d4d-48fb-afdd-3832131f89a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "exchange_list = [\n",
    "    e['exchange'] for e in client.get_snapshots_of_asset_metric_constituents(\n",
    "        'volume_trusted_spot_usd_1d', at_time=end\n",
    "    ).to_list()\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ee29b0f7-1b29-49a7-9c78-7de2fac8219c",
   "metadata": {},
   "outputs": [],
   "source": [
    "volumes = client.get_exchange_metrics(\n",
    "    exchanges=exchange_list,\n",
    "    metrics='volume_reported_spot_usd_1d',\n",
    "    frequency='1d',\n",
    "    start_time=start,\n",
    "    end_time=end\n",
    ").to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "5ba63878-15e5-476f-9e66-ce6edcf827ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "top_volumes = volumes.groupby('exchange')['volume_reported_spot_usd_1d'].sum().sort_values(ascending=False)\n",
    "volumes['exchange'] = np.where(volumes['exchange'].isin(top_volumes[:8].index), volumes['exchange'], 'other')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "002d4228-a771-4afa-b3d0-422f632c72cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "volumes = volumes.groupby(['exchange', 'time'])[['volume_reported_spot_usd_1d']].sum().reset_index()\n",
    "exchange_list_truncated = list(volumes.exchange.unique())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "10715f82-ec62-48ce-9695-bbde0f9b8f9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pivot_volumes = volumes.pivot(\n",
    "    index=\"time\",\n",
    "    columns=\"exchange\",\n",
    "    values=\"volume_reported_spot_usd_1d\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "4dbeb4bb-2358-4330-8784-f4d23e93822c",
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       "exchange                              binance           bullish  \\\n",
       "time                                                              \n",
       "2024-09-10 00:00:00+00:00    9714347717.47266   1264837837.1639   \n",
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       "\n",
       "exchange                              bybit          coinbase  \\\n",
       "time                                                            \n",
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       "2024-09-14 00:00:00+00:00  2230639306.76154   1137971743.1438   \n",
       "\n",
       "exchange                         crypto.com           gate.io  \\\n",
       "time                                                            \n",
       "2024-09-10 00:00:00+00:00  4694543620.14163  845127903.462162   \n",
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       "\n",
       "exchange                              huobi              okex  \\\n",
       "time                                                            \n",
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       "\n",
       "exchange                               other  \n",
       "time                                          \n",
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     "metadata": {},
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    "pivot_volumes.head()"
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       "      <td>2025256403.67754</td>\n",
       "      <td>2131259660.134958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-19 00:00:00+00:00</th>\n",
       "      <td>15765392190.692499</td>\n",
       "      <td>1319652147.96947</td>\n",
       "      <td>5525980769.22584</td>\n",
       "      <td>2541879532.52425</td>\n",
       "      <td>5235187763.93785</td>\n",
       "      <td>1887336656.8817</td>\n",
       "      <td>1975000649.30877</td>\n",
       "      <td>2390932500.79671</td>\n",
       "      <td>2569561724.497508</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-20 00:00:00+00:00</th>\n",
       "      <td>15637079381.6693</td>\n",
       "      <td>1265080412.99704</td>\n",
       "      <td>4627547221.99959</td>\n",
       "      <td>1976169614.44787</td>\n",
       "      <td>5064003012.65921</td>\n",
       "      <td>1629840500.88359</td>\n",
       "      <td>1700075845.88566</td>\n",
       "      <td>2139950015.81174</td>\n",
       "      <td>2114986008.292456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-21 00:00:00+00:00</th>\n",
       "      <td>7239200803.06984</td>\n",
       "      <td>459895539.058303</td>\n",
       "      <td>2482619303.48854</td>\n",
       "      <td>742642406.840901</td>\n",
       "      <td>2411519153.63723</td>\n",
       "      <td>833998109.245123</td>\n",
       "      <td>1087714374.93748</td>\n",
       "      <td>952109526.988626</td>\n",
       "      <td>991526560.843603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-22 00:00:00+00:00</th>\n",
       "      <td>9068630508.16427</td>\n",
       "      <td>802099932.54548</td>\n",
       "      <td>3151837904.3863</td>\n",
       "      <td>963747563.989523</td>\n",
       "      <td>3502445418.96481</td>\n",
       "      <td>1052501821.18361</td>\n",
       "      <td>1171972957.83752</td>\n",
       "      <td>1286837506.19408</td>\n",
       "      <td>1177308035.41588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-23 00:00:00+00:00</th>\n",
       "      <td>14119038812.017599</td>\n",
       "      <td>1329762723.44272</td>\n",
       "      <td>4669434414.70167</td>\n",
       "      <td>1776058068.84826</td>\n",
       "      <td>5796920448.02394</td>\n",
       "      <td>1604826350.38627</td>\n",
       "      <td>1572446737.44742</td>\n",
       "      <td>1883576140.48251</td>\n",
       "      <td>2059560504.183348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-24 00:00:00+00:00</th>\n",
       "      <td>13803897941.4459</td>\n",
       "      <td>1233617827.37224</td>\n",
       "      <td>4623955823.48951</td>\n",
       "      <td>1889015003.75608</td>\n",
       "      <td>4560270564.10611</td>\n",
       "      <td>1531245791.35488</td>\n",
       "      <td>1499667822.70557</td>\n",
       "      <td>2074103404.06031</td>\n",
       "      <td>2043368536.120572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-25 00:00:00+00:00</th>\n",
       "      <td>11243478001.8234</td>\n",
       "      <td>1056276031.71222</td>\n",
       "      <td>4504151719.14296</td>\n",
       "      <td>1543860513.03847</td>\n",
       "      <td>3791679743.58698</td>\n",
       "      <td>1510723332.35641</td>\n",
       "      <td>1492906823.75684</td>\n",
       "      <td>1894745371.91</td>\n",
       "      <td>1621159844.139992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-26 00:00:00+00:00</th>\n",
       "      <td>15599762219.3771</td>\n",
       "      <td>1610121770.7868</td>\n",
       "      <td>5623746968.56271</td>\n",
       "      <td>2281290095.10416</td>\n",
       "      <td>6042193867.25463</td>\n",
       "      <td>1884280762.68463</td>\n",
       "      <td>1716777384.93289</td>\n",
       "      <td>2384946966.64538</td>\n",
       "      <td>2319230690.451392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-27 00:00:00+00:00</th>\n",
       "      <td>14116726844.818899</td>\n",
       "      <td>1069480100.13979</td>\n",
       "      <td>5160096066.06245</td>\n",
       "      <td>2558606461.87492</td>\n",
       "      <td>5638677750.91947</td>\n",
       "      <td>1018072023.28832</td>\n",
       "      <td>1716844603.36935</td>\n",
       "      <td>2342997486.18092</td>\n",
       "      <td>2064558204.748724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-28 00:00:00+00:00</th>\n",
       "      <td>8159304277.82764</td>\n",
       "      <td>502782942.654992</td>\n",
       "      <td>2694065736.76692</td>\n",
       "      <td>964628082.625474</td>\n",
       "      <td>2081725893.72908</td>\n",
       "      <td>677192203.169288</td>\n",
       "      <td>1195274976.603</td>\n",
       "      <td>1451311955.47487</td>\n",
       "      <td>941584508.956109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-29 00:00:00+00:00</th>\n",
       "      <td>8921640553.12451</td>\n",
       "      <td>539803911.632983</td>\n",
       "      <td>2538588361.13329</td>\n",
       "      <td>1024493096.08131</td>\n",
       "      <td>2706231391.93362</td>\n",
       "      <td>900547717.914862</td>\n",
       "      <td>1067935423.38093</td>\n",
       "      <td>1460065096.9441</td>\n",
       "      <td>1018404267.377896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-30 00:00:00+00:00</th>\n",
       "      <td>15202552937.998301</td>\n",
       "      <td>1342394442.65625</td>\n",
       "      <td>4937717476.11833</td>\n",
       "      <td>2111602915.23605</td>\n",
       "      <td>6422163849.5578</td>\n",
       "      <td>1370536947.44636</td>\n",
       "      <td>1595747524.90984</td>\n",
       "      <td>2388331950.3912</td>\n",
       "      <td>2037584661.361227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01 00:00:00+00:00</th>\n",
       "      <td>23240548408.584702</td>\n",
       "      <td>3184757131.55157</td>\n",
       "      <td>7759540621.79189</td>\n",
       "      <td>3415548316.38006</td>\n",
       "      <td>8959183206.512569</td>\n",
       "      <td>2137805079.14537</td>\n",
       "      <td>1908358048.62952</td>\n",
       "      <td>3470705407.36197</td>\n",
       "      <td>2871101695.353822</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-02 00:00:00+00:00</th>\n",
       "      <td>17437229519.513699</td>\n",
       "      <td>1603025104.85705</td>\n",
       "      <td>5526619243.09343</td>\n",
       "      <td>2352353661.75056</td>\n",
       "      <td>8743651625.525089</td>\n",
       "      <td>1815221539.44225</td>\n",
       "      <td>1956203879.59561</td>\n",
       "      <td>2356068415.41375</td>\n",
       "      <td>2205618738.858672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-03 00:00:00+00:00</th>\n",
       "      <td>14999111682.6152</td>\n",
       "      <td>1605418668.37504</td>\n",
       "      <td>5120501662.45691</td>\n",
       "      <td>1930904616.17741</td>\n",
       "      <td>8193532164.49563</td>\n",
       "      <td>1538014044.673</td>\n",
       "      <td>1771828990.69422</td>\n",
       "      <td>2116511967.71281</td>\n",
       "      <td>1889111631.496463</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04 00:00:00+00:00</th>\n",
       "      <td>12876175910.416201</td>\n",
       "      <td>1332886726.35117</td>\n",
       "      <td>4279900711.68787</td>\n",
       "      <td>1918812943.46179</td>\n",
       "      <td>5759795028.96788</td>\n",
       "      <td>1280488009.44946</td>\n",
       "      <td>1437592080.67671</td>\n",
       "      <td>1697775201.17512</td>\n",
       "      <td>1770689490.345348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-05 00:00:00+00:00</th>\n",
       "      <td>6532364228.97254</td>\n",
       "      <td>392462635.006691</td>\n",
       "      <td>2126069409.03706</td>\n",
       "      <td>608167606.66407</td>\n",
       "      <td>1872894569.02638</td>\n",
       "      <td>594321770.03637</td>\n",
       "      <td>965511857.476451</td>\n",
       "      <td>815970303.962524</td>\n",
       "      <td>705386770.661552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-06 00:00:00+00:00</th>\n",
       "      <td>6930843434.83285</td>\n",
       "      <td>444045828.210464</td>\n",
       "      <td>2046183278.08736</td>\n",
       "      <td>679562882.140494</td>\n",
       "      <td>2229413627.75299</td>\n",
       "      <td>661460021.074824</td>\n",
       "      <td>882202743.119424</td>\n",
       "      <td>951842866.408241</td>\n",
       "      <td>823568622.1757</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "exchange                              binance           bullish  \\\n",
       "time                                                              \n",
       "2024-09-10 00:00:00+00:00    9714347717.47266   1264837837.1639   \n",
       "2024-09-11 00:00:00+00:00  12274439317.785299  1102465276.62474   \n",
       "2024-09-12 00:00:00+00:00  11296654011.844999  1071014247.32579   \n",
       "2024-09-13 00:00:00+00:00  11925481195.452999  1073344439.24967   \n",
       "2024-09-14 00:00:00+00:00    6374474955.75626  391985441.722983   \n",
       "2024-09-15 00:00:00+00:00    7361704730.28157  562957320.711511   \n",
       "2024-09-16 00:00:00+00:00    12134299152.8419  1060106347.58518   \n",
       "2024-09-17 00:00:00+00:00    12784370854.8181  1370902890.66798   \n",
       "2024-09-18 00:00:00+00:00  13949094048.295601  1509743657.16933   \n",
       "2024-09-19 00:00:00+00:00  15765392190.692499  1319652147.96947   \n",
       "2024-09-20 00:00:00+00:00    15637079381.6693  1265080412.99704   \n",
       "2024-09-21 00:00:00+00:00    7239200803.06984  459895539.058303   \n",
       "2024-09-22 00:00:00+00:00    9068630508.16427   802099932.54548   \n",
       "2024-09-23 00:00:00+00:00  14119038812.017599  1329762723.44272   \n",
       "2024-09-24 00:00:00+00:00    13803897941.4459  1233617827.37224   \n",
       "2024-09-25 00:00:00+00:00    11243478001.8234  1056276031.71222   \n",
       "2024-09-26 00:00:00+00:00    15599762219.3771   1610121770.7868   \n",
       "2024-09-27 00:00:00+00:00  14116726844.818899  1069480100.13979   \n",
       "2024-09-28 00:00:00+00:00    8159304277.82764  502782942.654992   \n",
       "2024-09-29 00:00:00+00:00    8921640553.12451  539803911.632983   \n",
       "2024-09-30 00:00:00+00:00  15202552937.998301  1342394442.65625   \n",
       "2024-10-01 00:00:00+00:00  23240548408.584702  3184757131.55157   \n",
       "2024-10-02 00:00:00+00:00  17437229519.513699  1603025104.85705   \n",
       "2024-10-03 00:00:00+00:00    14999111682.6152  1605418668.37504   \n",
       "2024-10-04 00:00:00+00:00  12876175910.416201  1332886726.35117   \n",
       "2024-10-05 00:00:00+00:00    6532364228.97254  392462635.006691   \n",
       "2024-10-06 00:00:00+00:00    6930843434.83285  444045828.210464   \n",
       "\n",
       "exchange                              bybit          coinbase  \\\n",
       "time                                                            \n",
       "2024-09-10 00:00:00+00:00  3667152874.20169  1323434212.37803   \n",
       "2024-09-11 00:00:00+00:00  4522846470.92285  1706654989.73028   \n",
       "2024-09-12 00:00:00+00:00  4144560926.66379    1781063003.281   \n",
       "2024-09-13 00:00:00+00:00  4164462938.08954  1832416834.75893   \n",
       "2024-09-14 00:00:00+00:00  2230639306.76154   1137971743.1438   \n",
       "2024-09-15 00:00:00+00:00  2590884166.76392  832798774.766878   \n",
       "2024-09-16 00:00:00+00:00    4165725283.318  1361649870.77583   \n",
       "2024-09-17 00:00:00+00:00   4599028084.1107   1783827256.9648   \n",
       "2024-09-18 00:00:00+00:00  5191983189.97371  1812085945.13132   \n",
       "2024-09-19 00:00:00+00:00  5525980769.22584  2541879532.52425   \n",
       "2024-09-20 00:00:00+00:00  4627547221.99959  1976169614.44787   \n",
       "2024-09-21 00:00:00+00:00  2482619303.48854  742642406.840901   \n",
       "2024-09-22 00:00:00+00:00   3151837904.3863  963747563.989523   \n",
       "2024-09-23 00:00:00+00:00  4669434414.70167  1776058068.84826   \n",
       "2024-09-24 00:00:00+00:00  4623955823.48951  1889015003.75608   \n",
       "2024-09-25 00:00:00+00:00  4504151719.14296  1543860513.03847   \n",
       "2024-09-26 00:00:00+00:00  5623746968.56271  2281290095.10416   \n",
       "2024-09-27 00:00:00+00:00  5160096066.06245  2558606461.87492   \n",
       "2024-09-28 00:00:00+00:00  2694065736.76692  964628082.625474   \n",
       "2024-09-29 00:00:00+00:00  2538588361.13329  1024493096.08131   \n",
       "2024-09-30 00:00:00+00:00  4937717476.11833  2111602915.23605   \n",
       "2024-10-01 00:00:00+00:00  7759540621.79189  3415548316.38006   \n",
       "2024-10-02 00:00:00+00:00  5526619243.09343  2352353661.75056   \n",
       "2024-10-03 00:00:00+00:00  5120501662.45691  1930904616.17741   \n",
       "2024-10-04 00:00:00+00:00  4279900711.68787  1918812943.46179   \n",
       "2024-10-05 00:00:00+00:00  2126069409.03706   608167606.66407   \n",
       "2024-10-06 00:00:00+00:00  2046183278.08736  679562882.140494   \n",
       "\n",
       "exchange                          crypto.com           gate.io  \\\n",
       "time                                                             \n",
       "2024-09-10 00:00:00+00:00   4694543620.14163  845127903.462162   \n",
       "2024-09-11 00:00:00+00:00   7265287964.56301  1116958520.42675   \n",
       "2024-09-12 00:00:00+00:00   4845335792.93472  1035902360.91803   \n",
       "2024-09-13 00:00:00+00:00   4559652705.02926  1060397918.39275   \n",
       "2024-09-14 00:00:00+00:00   1992728998.68231  587007576.028109   \n",
       "2024-09-15 00:00:00+00:00   2931984212.55974  760804668.552838   \n",
       "2024-09-16 00:00:00+00:00   4722670462.41982  1191365703.76154   \n",
       "2024-09-17 00:00:00+00:00   4323879290.27791  1164978755.28512   \n",
       "2024-09-18 00:00:00+00:00   6524939071.87054  1588197115.85748   \n",
       "2024-09-19 00:00:00+00:00   5235187763.93785   1887336656.8817   \n",
       "2024-09-20 00:00:00+00:00   5064003012.65921  1629840500.88359   \n",
       "2024-09-21 00:00:00+00:00   2411519153.63723  833998109.245123   \n",
       "2024-09-22 00:00:00+00:00   3502445418.96481  1052501821.18361   \n",
       "2024-09-23 00:00:00+00:00   5796920448.02394  1604826350.38627   \n",
       "2024-09-24 00:00:00+00:00   4560270564.10611  1531245791.35488   \n",
       "2024-09-25 00:00:00+00:00   3791679743.58698  1510723332.35641   \n",
       "2024-09-26 00:00:00+00:00   6042193867.25463  1884280762.68463   \n",
       "2024-09-27 00:00:00+00:00   5638677750.91947  1018072023.28832   \n",
       "2024-09-28 00:00:00+00:00   2081725893.72908  677192203.169288   \n",
       "2024-09-29 00:00:00+00:00   2706231391.93362  900547717.914862   \n",
       "2024-09-30 00:00:00+00:00    6422163849.5578  1370536947.44636   \n",
       "2024-10-01 00:00:00+00:00  8959183206.512569  2137805079.14537   \n",
       "2024-10-02 00:00:00+00:00  8743651625.525089  1815221539.44225   \n",
       "2024-10-03 00:00:00+00:00   8193532164.49563    1538014044.673   \n",
       "2024-10-04 00:00:00+00:00   5759795028.96788  1280488009.44946   \n",
       "2024-10-05 00:00:00+00:00   1872894569.02638   594321770.03637   \n",
       "2024-10-06 00:00:00+00:00   2229413627.75299  661460021.074824   \n",
       "\n",
       "exchange                              huobi              okex  \\\n",
       "time                                                            \n",
       "2024-09-10 00:00:00+00:00  1605960239.92127  1293157356.51002   \n",
       "2024-09-11 00:00:00+00:00  1758439622.21422  1589552806.98192   \n",
       "2024-09-12 00:00:00+00:00  1640974256.92128   1418484926.0031   \n",
       "2024-09-13 00:00:00+00:00   1602703737.9729  1544920512.39772   \n",
       "2024-09-14 00:00:00+00:00  1267693924.07889   961073483.60885   \n",
       "2024-09-15 00:00:00+00:00  1124162599.40243  997351542.148314   \n",
       "2024-09-16 00:00:00+00:00  1583872653.47973  1593737943.29678   \n",
       "2024-09-17 00:00:00+00:00  1572931912.75403  1735321786.52275   \n",
       "2024-09-18 00:00:00+00:00  1677643847.70291  2025256403.67754   \n",
       "2024-09-19 00:00:00+00:00  1975000649.30877  2390932500.79671   \n",
       "2024-09-20 00:00:00+00:00  1700075845.88566  2139950015.81174   \n",
       "2024-09-21 00:00:00+00:00  1087714374.93748  952109526.988626   \n",
       "2024-09-22 00:00:00+00:00  1171972957.83752  1286837506.19408   \n",
       "2024-09-23 00:00:00+00:00  1572446737.44742  1883576140.48251   \n",
       "2024-09-24 00:00:00+00:00  1499667822.70557  2074103404.06031   \n",
       "2024-09-25 00:00:00+00:00  1492906823.75684     1894745371.91   \n",
       "2024-09-26 00:00:00+00:00  1716777384.93289  2384946966.64538   \n",
       "2024-09-27 00:00:00+00:00  1716844603.36935  2342997486.18092   \n",
       "2024-09-28 00:00:00+00:00    1195274976.603  1451311955.47487   \n",
       "2024-09-29 00:00:00+00:00  1067935423.38093   1460065096.9441   \n",
       "2024-09-30 00:00:00+00:00  1595747524.90984   2388331950.3912   \n",
       "2024-10-01 00:00:00+00:00  1908358048.62952  3470705407.36197   \n",
       "2024-10-02 00:00:00+00:00  1956203879.59561  2356068415.41375   \n",
       "2024-10-03 00:00:00+00:00  1771828990.69422  2116511967.71281   \n",
       "2024-10-04 00:00:00+00:00  1437592080.67671  1697775201.17512   \n",
       "2024-10-05 00:00:00+00:00  965511857.476451  815970303.962524   \n",
       "2024-10-06 00:00:00+00:00  882202743.119424  951842866.408241   \n",
       "\n",
       "exchange                               other  \n",
       "time                                          \n",
       "2024-09-10 00:00:00+00:00  1340992725.680607  \n",
       "2024-09-11 00:00:00+00:00  1766919607.712266  \n",
       "2024-09-12 00:00:00+00:00  1631462282.025268  \n",
       "2024-09-13 00:00:00+00:00  1847874572.934688  \n",
       "2024-09-14 00:00:00+00:00   870317615.504417  \n",
       "2024-09-15 00:00:00+00:00  1032771425.499747  \n",
       "2024-09-16 00:00:00+00:00  1535830455.197682  \n",
       "2024-09-17 00:00:00+00:00  1939514486.618056  \n",
       "2024-09-18 00:00:00+00:00  2131259660.134958  \n",
       "2024-09-19 00:00:00+00:00  2569561724.497508  \n",
       "2024-09-20 00:00:00+00:00  2114986008.292456  \n",
       "2024-09-21 00:00:00+00:00   991526560.843603  \n",
       "2024-09-22 00:00:00+00:00   1177308035.41588  \n",
       "2024-09-23 00:00:00+00:00  2059560504.183348  \n",
       "2024-09-24 00:00:00+00:00  2043368536.120572  \n",
       "2024-09-25 00:00:00+00:00  1621159844.139992  \n",
       "2024-09-26 00:00:00+00:00  2319230690.451392  \n",
       "2024-09-27 00:00:00+00:00  2064558204.748724  \n",
       "2024-09-28 00:00:00+00:00   941584508.956109  \n",
       "2024-09-29 00:00:00+00:00  1018404267.377896  \n",
       "2024-09-30 00:00:00+00:00  2037584661.361227  \n",
       "2024-10-01 00:00:00+00:00  2871101695.353822  \n",
       "2024-10-02 00:00:00+00:00  2205618738.858672  \n",
       "2024-10-03 00:00:00+00:00  1889111631.496463  \n",
       "2024-10-04 00:00:00+00:00  1770689490.345348  \n",
       "2024-10-05 00:00:00+00:00   705386770.661552  \n",
       "2024-10-06 00:00:00+00:00     823568622.1757  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot_volumes[exchange_list_truncated]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f4fd643f-9d8f-4319-ba76-53405df5e5f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19976.0, 20002.0)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def format_ticks_usd(y, pos):\n",
    "    if y >= 1_000_000_000_000:\n",
    "        return '${:.1f}T'.format(y/1000000000000)\n",
    "    elif y >= 1_000_000_000:\n",
    "        return '${:.1f}B'.format(y/1000000000)\n",
    "    elif y >= 1000000:\n",
    "        return '${:.1f}M'.format(y/1000000)\n",
    "    elif y >= 1000:\n",
    "        return '${:.1f}K'.format(y/1000)\n",
    "    else:\n",
    "        return '${:.1f}'.format(y)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "\n",
    "ax.stackplot(\n",
    "    pivot_volumes.index,\n",
    "    [pivot_volumes[exchange].astype(float) for exchange in exchange_list_truncated],\n",
    "    labels=exchange_list_truncated,\n",
    ")\n",
    "ax.set_title(\"Total Exchange Volume\")\n",
    "ax.yaxis.set_major_formatter(format_ticks_usd)\n",
    "ax.yaxis.grid(visible=True, which='major', linestyle='--', alpha=0.5)\n",
    "ax.legend(loc='lower right', bbox_to_anchor=(1.25, 0), title=\"Exchange\")\n",
    "ax.tick_params(axis='x', labelrotation=45)\n",
    "ax.xaxis.set_major_locator(plt.MaxNLocator(4))\n",
    "ax.set_xlim(volumes.time.min(), volumes.time.max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2d6fbcae-ee57-4b1e-ac58-a820c379e297",
   "metadata": {},
   "outputs": [],
   "source": [
    "pivot_volume_share = 100*pivot_volumes[exchange_list_truncated].div(pivot_volumes[exchange_list_truncated].sum(axis=1), axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0213b120-9c32-43f0-a7dc-4b55c9394ff1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 100.0)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.ticker as mtick\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "\n",
    "ax.stackplot(\n",
    "    pivot_volume_share.index,\n",
    "    [pivot_volume_share[exchange].astype(float) for exchange in exchange_list_truncated],\n",
    "    labels=exchange_list_truncated,\n",
    ")\n",
    "ax.set_title(\"Exchange Volume Share\")\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.yaxis.grid(visible=True, which='major', linestyle='--', alpha=0.5)\n",
    "ax.legend(loc='lower right', bbox_to_anchor=(1.25, 0), title=\"Exchange\")\n",
    "ax.tick_params(axis='x', labelrotation=45)\n",
    "ax.xaxis.set_major_locator(plt.MaxNLocator(4))\n",
    "ax.set_xlim(volumes.time.min(), volumes.time.max())\n",
    "ax.set_ylim(0, 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6df4c2e5-fffc-4406-93f1-07004d813fa9",
   "metadata": {},
   "source": [
    "## Asset Share\n",
    "\n",
    "In addition to retrieving aggregated trading volumes for all markets on an exchange, we can also utilize the *timeseries/market-candles* to obtain the USD trading volume of individual markets on a particular exchange."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "1bec2ffa-0be9-4b53-bd22-4ca128049766",
   "metadata": {},
   "outputs": [],
   "source": [
    "# The wildcard parameter (*) enables users to retrieve all markets matching the designated format\n",
    "exchange = 'coinbase'\n",
    "markets=f\"{exchange}-*-spot\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "d0858a45-2545-4a5c-863a-84b2d7cd6f9b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exporting to dataframe type:  79%|███████████████████████████████████████▎          | 22/28 [00:02<00:00, 10.38it/s]2024-10-07 12:48:38 INFO     no data to export\n",
      "Exporting to dataframe type: 100%|██████████████████████████████████████████████████| 28/28 [00:02<00:00,  9.86it/s]\n"
     ]
    }
   ],
   "source": [
    "df = client.get_market_candles(\n",
    "    markets=markets,\n",
    "    start_time=start,\n",
    "    end_time=end,\n",
    "    frequency='1d',\n",
    "    page_size=10000\n",
    ").parallel(time_increment=timedelta(days=1)).to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "69b6c4e5-ee4e-41b5-a6c0-d06ed07f8f5a",
   "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>market</th>\n",
       "      <th>time</th>\n",
       "      <th>price_open</th>\n",
       "      <th>price_close</th>\n",
       "      <th>price_high</th>\n",
       "      <th>price_low</th>\n",
       "      <th>vwap</th>\n",
       "      <th>volume</th>\n",
       "      <th>candle_usd_volume</th>\n",
       "      <th>candle_trades_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>coinbase-00-usd-spot</td>\n",
       "      <td>2024-09-10 00:00:00+00:00</td>\n",
       "      <td>0.0369</td>\n",
       "      <td>0.0361</td>\n",
       "      <td>0.0393</td>\n",
       "      <td>0.036</td>\n",
       "      <td>0.037349</td>\n",
       "      <td>4538849.98</td>\n",
       "      <td>169520.073709</td>\n",
       "      <td>1586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>coinbase-1inch-btc-spot</td>\n",
       "      <td>2024-09-10 00:00:00+00:00</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>14287.41</td>\n",
       "      <td>3720.280159</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>coinbase-1inch-eur-spot</td>\n",
       "      <td>2024-09-10 00:00:00+00:00</td>\n",
       "      <td>0.238</td>\n",
       "      <td>0.237</td>\n",
       "      <td>0.239</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.236182</td>\n",
       "      <td>616552.97</td>\n",
       "      <td>160541.151569</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>coinbase-1inch-gbp-spot</td>\n",
       "      <td>2024-09-10 00:00:00+00:00</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.199</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.196</td>\n",
       "      <td>0.199207</td>\n",
       "      <td>358978.94</td>\n",
       "      <td>93500.859211</td>\n",
       "      <td>194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>coinbase-1inch-usd-spot</td>\n",
       "      <td>2024-09-10 00:00:00+00:00</td>\n",
       "      <td>0.263</td>\n",
       "      <td>0.26</td>\n",
       "      <td>0.264</td>\n",
       "      <td>0.256</td>\n",
       "      <td>0.259755</td>\n",
       "      <td>3483735.74</td>\n",
       "      <td>904916.71491</td>\n",
       "      <td>2772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11027</th>\n",
       "      <td>coinbase-zen-usd-spot</td>\n",
       "      <td>2024-10-06 00:00:00+00:00</td>\n",
       "      <td>7.49</td>\n",
       "      <td>8.01</td>\n",
       "      <td>8.04</td>\n",
       "      <td>7.49</td>\n",
       "      <td>7.726637</td>\n",
       "      <td>3059.792</td>\n",
       "      <td>23641.90321</td>\n",
       "      <td>243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11028</th>\n",
       "      <td>coinbase-zeta-usd-spot</td>\n",
       "      <td>2024-10-06 00:00:00+00:00</td>\n",
       "      <td>0.5964</td>\n",
       "      <td>0.6084</td>\n",
       "      <td>0.6121</td>\n",
       "      <td>0.5815</td>\n",
       "      <td>0.59916</td>\n",
       "      <td>666852.1</td>\n",
       "      <td>399550.77625</td>\n",
       "      <td>3258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11029</th>\n",
       "      <td>coinbase-zk-usd-spot</td>\n",
       "      <td>2024-10-06 00:00:00+00:00</td>\n",
       "      <td>0.12432</td>\n",
       "      <td>0.12904</td>\n",
       "      <td>0.13047</td>\n",
       "      <td>0.12409</td>\n",
       "      <td>0.126848</td>\n",
       "      <td>562305.1</td>\n",
       "      <td>71327.114648</td>\n",
       "      <td>462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11030</th>\n",
       "      <td>coinbase-zro-usd-spot</td>\n",
       "      <td>2024-10-06 00:00:00+00:00</td>\n",
       "      <td>4.109</td>\n",
       "      <td>4.236</td>\n",
       "      <td>4.253</td>\n",
       "      <td>4.067</td>\n",
       "      <td>4.162722</td>\n",
       "      <td>119387.31</td>\n",
       "      <td>496976.15616</td>\n",
       "      <td>1341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11031</th>\n",
       "      <td>coinbase-zrx-usd-spot</td>\n",
       "      <td>2024-10-06 00:00:00+00:00</td>\n",
       "      <td>0.309497</td>\n",
       "      <td>0.323902</td>\n",
       "      <td>0.323902</td>\n",
       "      <td>0.307255</td>\n",
       "      <td>0.317242</td>\n",
       "      <td>599437.77086</td>\n",
       "      <td>190166.885533</td>\n",
       "      <td>1235</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11032 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        market                      time  price_open  \\\n",
       "0         coinbase-00-usd-spot 2024-09-10 00:00:00+00:00      0.0369   \n",
       "1      coinbase-1inch-btc-spot 2024-09-10 00:00:00+00:00    0.000005   \n",
       "2      coinbase-1inch-eur-spot 2024-09-10 00:00:00+00:00       0.238   \n",
       "3      coinbase-1inch-gbp-spot 2024-09-10 00:00:00+00:00       0.201   \n",
       "4      coinbase-1inch-usd-spot 2024-09-10 00:00:00+00:00       0.263   \n",
       "...                        ...                       ...         ...   \n",
       "11027    coinbase-zen-usd-spot 2024-10-06 00:00:00+00:00        7.49   \n",
       "11028   coinbase-zeta-usd-spot 2024-10-06 00:00:00+00:00      0.5964   \n",
       "11029     coinbase-zk-usd-spot 2024-10-06 00:00:00+00:00     0.12432   \n",
       "11030    coinbase-zro-usd-spot 2024-10-06 00:00:00+00:00       4.109   \n",
       "11031    coinbase-zrx-usd-spot 2024-10-06 00:00:00+00:00    0.309497   \n",
       "\n",
       "       price_close  price_high  price_low      vwap        volume  \\\n",
       "0           0.0361      0.0393      0.036  0.037349    4538849.98   \n",
       "1         0.000005    0.000005   0.000005  0.000005      14287.41   \n",
       "2            0.237       0.239      0.232  0.236182     616552.97   \n",
       "3            0.199       0.201      0.196  0.199207     358978.94   \n",
       "4             0.26       0.264      0.256  0.259755    3483735.74   \n",
       "...            ...         ...        ...       ...           ...   \n",
       "11027         8.01        8.04       7.49  7.726637      3059.792   \n",
       "11028       0.6084      0.6121     0.5815   0.59916      666852.1   \n",
       "11029      0.12904     0.13047    0.12409  0.126848      562305.1   \n",
       "11030        4.236       4.253      4.067  4.162722     119387.31   \n",
       "11031     0.323902    0.323902   0.307255  0.317242  599437.77086   \n",
       "\n",
       "       candle_usd_volume  candle_trades_count  \n",
       "0          169520.073709                 1586  \n",
       "1            3720.280159                   21  \n",
       "2          160541.151569                  271  \n",
       "3           93500.859211                  194  \n",
       "4           904916.71491                 2772  \n",
       "...                  ...                  ...  \n",
       "11027        23641.90321                  243  \n",
       "11028       399550.77625                 3258  \n",
       "11029       71327.114648                  462  \n",
       "11030       496976.15616                 1341  \n",
       "11031      190166.885533                 1235  \n",
       "\n",
       "[11032 rows x 10 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "26117964-bc74-4e13-90b0-5f05a808bc2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"candle_usd_volume\"] = df.candle_usd_volume.astype(float)\n",
    "df[\"time\"] = pd.to_datetime(df.time)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3cc81ae0-7e9e-4aea-9a2b-98b3bb977f02",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.sort_values([\"market\",\"time\"],inplace=True)\n",
    "    \n",
    "# Create Addt. Cols\n",
    "df['exchange'] = df.market.apply(lambda x: x.split(\"-\")[0])\n",
    "df['exchange-base'] = df.market.apply(lambda x: x.split(\"-\")[0]+\"-\"+x.split(\"-\")[1])\n",
    "df['market_type'] = df.market.apply(lambda x: x.split(\"-\")[-1])\n",
    "df['base'] = df.market.apply(lambda x: x.split(\"-\")[1])\n",
    "df['quote'] = df.market.apply(lambda x: x.split(\"-\")[2])\n",
    "\n",
    "# Get volume by base asset by day\n",
    "\n",
    "# Get top 10 assets by volume\n",
    "total_vol_by_base = df.groupby('base',as_index=False).candle_usd_volume.sum()\n",
    "total_vol_by_base.sort_values(by=\"candle_usd_volume\",inplace=True)\n",
    "base_top_list = total_vol_by_base.tail(10).base.tolist()\n",
    "df[\"base2\"] = np.where(df.base.isin(base_top_list),df.base,f\"{len(total_vol_by_base)-10} others\")\n",
    "\n",
    "# Get sum by base asset by day\n",
    "df_vol_by_base = df.groupby([\"time\",\"base2\"],as_index=False).candle_usd_volume.sum()\n",
    "df_vol_by_base['total_vol'] = df_vol_by_base.groupby(\"time\").candle_usd_volume.transform(sum)\n",
    "df_vol_by_base.columns=[\"time\",\"base_asset\",\"vol\",\"total_vol\"]\n",
    "df_vol_by_base[\"vol_pct\"]=(df_vol_by_base.vol/df_vol_by_base.total_vol)*100\n",
    "df_vol_by_base.sort_values([\"base_asset\",\"time\"],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "b033db9e-aada-4988-9fc3-e8fdd3babffd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time</th>\n",
       "      <th>base_asset</th>\n",
       "      <th>vol</th>\n",
       "      <th>total_vol</th>\n",
       "      <th>vol_pct</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2024-09-10 00:00:00+00:00</td>\n",
       "      <td>248 others</td>\n",
       "      <td>2.285934e+08</td>\n",
       "      <td>1.325089e+09</td>\n",
       "      <td>17.251175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024-09-11 00:00:00+00:00</td>\n",
       "      <td>248 others</td>\n",
       "      <td>2.546721e+08</td>\n",
       "      <td>1.708684e+09</td>\n",
       "      <td>14.904575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2024-09-12 00:00:00+00:00</td>\n",
       "      <td>248 others</td>\n",
       "      <td>2.478359e+08</td>\n",
       "      <td>1.783317e+09</td>\n",
       "      <td>13.897469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2024-09-13 00:00:00+00:00</td>\n",
       "      <td>248 others</td>\n",
       "      <td>2.823741e+08</td>\n",
       "      <td>1.834706e+09</td>\n",
       "      <td>15.390699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2024-09-14 00:00:00+00:00</td>\n",
       "      <td>248 others</td>\n",
       "      <td>1.710470e+08</td>\n",
       "      <td>1.139076e+09</td>\n",
       "      <td>15.016301</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>252</th>\n",
       "      <td>2024-10-02 00:00:00+00:00</td>\n",
       "      <td>xrp</td>\n",
       "      <td>1.025636e+08</td>\n",
       "      <td>2.355545e+09</td>\n",
       "      <td>4.354134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>2024-10-03 00:00:00+00:00</td>\n",
       "      <td>xrp</td>\n",
       "      <td>8.681132e+07</td>\n",
       "      <td>1.934456e+09</td>\n",
       "      <td>4.487634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>2024-10-04 00:00:00+00:00</td>\n",
       "      <td>xrp</td>\n",
       "      <td>4.813218e+07</td>\n",
       "      <td>1.924832e+09</td>\n",
       "      <td>2.500591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>2024-10-05 00:00:00+00:00</td>\n",
       "      <td>xrp</td>\n",
       "      <td>1.525881e+07</td>\n",
       "      <td>6.100742e+08</td>\n",
       "      <td>2.501140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>2024-10-06 00:00:00+00:00</td>\n",
       "      <td>xrp</td>\n",
       "      <td>1.258580e+07</td>\n",
       "      <td>6.807883e+08</td>\n",
       "      <td>1.848710</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>297 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         time  base_asset           vol     total_vol  \\\n",
       "0   2024-09-10 00:00:00+00:00  248 others  2.285934e+08  1.325089e+09   \n",
       "11  2024-09-11 00:00:00+00:00  248 others  2.546721e+08  1.708684e+09   \n",
       "22  2024-09-12 00:00:00+00:00  248 others  2.478359e+08  1.783317e+09   \n",
       "33  2024-09-13 00:00:00+00:00  248 others  2.823741e+08  1.834706e+09   \n",
       "44  2024-09-14 00:00:00+00:00  248 others  1.710470e+08  1.139076e+09   \n",
       "..                        ...         ...           ...           ...   \n",
       "252 2024-10-02 00:00:00+00:00         xrp  1.025636e+08  2.355545e+09   \n",
       "263 2024-10-03 00:00:00+00:00         xrp  8.681132e+07  1.934456e+09   \n",
       "274 2024-10-04 00:00:00+00:00         xrp  4.813218e+07  1.924832e+09   \n",
       "285 2024-10-05 00:00:00+00:00         xrp  1.525881e+07  6.100742e+08   \n",
       "296 2024-10-06 00:00:00+00:00         xrp  1.258580e+07  6.807883e+08   \n",
       "\n",
       "       vol_pct  \n",
       "0    17.251175  \n",
       "11   14.904575  \n",
       "22   13.897469  \n",
       "33   15.390699  \n",
       "44   15.016301  \n",
       "..         ...  \n",
       "252   4.354134  \n",
       "263   4.487634  \n",
       "274   2.500591  \n",
       "285   2.501140  \n",
       "296   1.848710  \n",
       "\n",
       "[297 rows x 5 columns]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vol_by_base"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "4e13e41a-830d-4ce4-8321-91f8432965a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_assets = len(total_vol_by_base)\n",
    "top_assets  = df_vol_by_base[~df_vol_by_base.base_asset.isin([\"btc\",\"eth\",f\"{num_assets-10} others\"])].groupby(\"base_asset\").vol.sum().sort_values(ascending=False).index.tolist()\n",
    "top_assets  = [\"btc\",\"eth\",f\"{num_assets-10} others\"] + top_assets\n",
    "\n",
    "# Pivot back to assets in columns\n",
    "df_vol_pivot = df_vol_by_base.pivot(index='time',\n",
    "                             columns=\"base_asset\",\n",
    "                             values=\"vol_pct\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0cbaa993-1e71-4081-9b5e-e26d73f90407",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>base_asset</th>\n",
       "      <th>btc</th>\n",
       "      <th>eth</th>\n",
       "      <th>248 others</th>\n",
       "      <th>usdt</th>\n",
       "      <th>sol</th>\n",
       "      <th>sui</th>\n",
       "      <th>xrp</th>\n",
       "      <th>bonk</th>\n",
       "      <th>doge</th>\n",
       "      <th>shib</th>\n",
       "      <th>fet</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-09-10 00:00:00+00:00</th>\n",
       "      <td>30.972149</td>\n",
       "      <td>13.067446</td>\n",
       "      <td>17.251175</td>\n",
       "      <td>24.945950</td>\n",
       "      <td>6.146731</td>\n",
       "      <td>1.292479</td>\n",
       "      <td>1.117807</td>\n",
       "      <td>1.095419</td>\n",
       "      <td>1.176307</td>\n",
       "      <td>0.505209</td>\n",
       "      <td>2.429329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-11 00:00:00+00:00</th>\n",
       "      <td>42.533098</td>\n",
       "      <td>14.601279</td>\n",
       "      <td>14.904575</td>\n",
       "      <td>16.508054</td>\n",
       "      <td>5.409347</td>\n",
       "      <td>0.986693</td>\n",
       "      <td>0.859503</td>\n",
       "      <td>0.918263</td>\n",
       "      <td>1.086848</td>\n",
       "      <td>0.510467</td>\n",
       "      <td>1.681872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-12 00:00:00+00:00</th>\n",
       "      <td>36.055903</td>\n",
       "      <td>11.246405</td>\n",
       "      <td>13.897469</td>\n",
       "      <td>24.472115</td>\n",
       "      <td>5.432146</td>\n",
       "      <td>2.323582</td>\n",
       "      <td>2.768770</td>\n",
       "      <td>0.686577</td>\n",
       "      <td>0.897056</td>\n",
       "      <td>0.317287</td>\n",
       "      <td>1.902690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-13 00:00:00+00:00</th>\n",
       "      <td>41.600482</td>\n",
       "      <td>12.469632</td>\n",
       "      <td>15.390699</td>\n",
       "      <td>17.687048</td>\n",
       "      <td>5.396664</td>\n",
       "      <td>1.283156</td>\n",
       "      <td>1.744660</td>\n",
       "      <td>0.639577</td>\n",
       "      <td>2.029411</td>\n",
       "      <td>0.438210</td>\n",
       "      <td>1.320460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-14 00:00:00+00:00</th>\n",
       "      <td>18.104549</td>\n",
       "      <td>7.169948</td>\n",
       "      <td>15.016301</td>\n",
       "      <td>46.855937</td>\n",
       "      <td>4.118700</td>\n",
       "      <td>1.842687</td>\n",
       "      <td>3.210786</td>\n",
       "      <td>0.853040</td>\n",
       "      <td>1.347843</td>\n",
       "      <td>0.469507</td>\n",
       "      <td>1.010702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-15 00:00:00+00:00</th>\n",
       "      <td>31.125051</td>\n",
       "      <td>16.348491</td>\n",
       "      <td>22.996837</td>\n",
       "      <td>10.391716</td>\n",
       "      <td>7.648190</td>\n",
       "      <td>3.747606</td>\n",
       "      <td>2.454636</td>\n",
       "      <td>1.244448</td>\n",
       "      <td>1.527748</td>\n",
       "      <td>0.543500</td>\n",
       "      <td>1.971777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-16 00:00:00+00:00</th>\n",
       "      <td>37.193874</td>\n",
       "      <td>17.206186</td>\n",
       "      <td>14.866560</td>\n",
       "      <td>17.164195</td>\n",
       "      <td>5.416218</td>\n",
       "      <td>2.069775</td>\n",
       "      <td>2.074828</td>\n",
       "      <td>0.735451</td>\n",
       "      <td>1.292425</td>\n",
       "      <td>0.482445</td>\n",
       "      <td>1.498044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-17 00:00:00+00:00</th>\n",
       "      <td>43.462805</td>\n",
       "      <td>13.122193</td>\n",
       "      <td>14.039608</td>\n",
       "      <td>16.877017</td>\n",
       "      <td>4.806221</td>\n",
       "      <td>2.639338</td>\n",
       "      <td>1.338655</td>\n",
       "      <td>0.617046</td>\n",
       "      <td>1.527054</td>\n",
       "      <td>0.304794</td>\n",
       "      <td>1.265270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-18 00:00:00+00:00</th>\n",
       "      <td>42.578945</td>\n",
       "      <td>14.389160</td>\n",
       "      <td>16.363534</td>\n",
       "      <td>10.759089</td>\n",
       "      <td>6.367782</td>\n",
       "      <td>4.161422</td>\n",
       "      <td>1.541983</td>\n",
       "      <td>0.689565</td>\n",
       "      <td>1.025603</td>\n",
       "      <td>0.504158</td>\n",
       "      <td>1.618760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-19 00:00:00+00:00</th>\n",
       "      <td>40.554355</td>\n",
       "      <td>11.913760</td>\n",
       "      <td>16.697873</td>\n",
       "      <td>13.990523</td>\n",
       "      <td>7.922874</td>\n",
       "      <td>3.051438</td>\n",
       "      <td>1.419195</td>\n",
       "      <td>1.071619</td>\n",
       "      <td>1.016350</td>\n",
       "      <td>0.619502</td>\n",
       "      <td>1.742510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-20 00:00:00+00:00</th>\n",
       "      <td>37.449647</td>\n",
       "      <td>13.966163</td>\n",
       "      <td>17.361613</td>\n",
       "      <td>13.270193</td>\n",
       "      <td>8.267577</td>\n",
       "      <td>3.294778</td>\n",
       "      <td>1.693500</td>\n",
       "      <td>1.156477</td>\n",
       "      <td>1.183191</td>\n",
       "      <td>0.508040</td>\n",
       "      <td>1.848821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-21 00:00:00+00:00</th>\n",
       "      <td>18.083126</td>\n",
       "      <td>17.647521</td>\n",
       "      <td>28.822949</td>\n",
       "      <td>11.717905</td>\n",
       "      <td>7.503045</td>\n",
       "      <td>4.002590</td>\n",
       "      <td>3.399164</td>\n",
       "      <td>1.988337</td>\n",
       "      <td>2.762844</td>\n",
       "      <td>1.646701</td>\n",
       "      <td>2.425818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-22 00:00:00+00:00</th>\n",
       "      <td>21.307804</td>\n",
       "      <td>12.658318</td>\n",
       "      <td>26.451636</td>\n",
       "      <td>17.494754</td>\n",
       "      <td>7.398947</td>\n",
       "      <td>7.118906</td>\n",
       "      <td>2.268850</td>\n",
       "      <td>1.122223</td>\n",
       "      <td>1.443169</td>\n",
       "      <td>1.173459</td>\n",
       "      <td>1.561934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-23 00:00:00+00:00</th>\n",
       "      <td>28.062013</td>\n",
       "      <td>17.667165</td>\n",
       "      <td>23.868440</td>\n",
       "      <td>13.861710</td>\n",
       "      <td>6.594981</td>\n",
       "      <td>4.093083</td>\n",
       "      <td>1.568748</td>\n",
       "      <td>0.654969</td>\n",
       "      <td>1.279564</td>\n",
       "      <td>0.547387</td>\n",
       "      <td>1.801941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-24 00:00:00+00:00</th>\n",
       "      <td>33.094029</td>\n",
       "      <td>16.229860</td>\n",
       "      <td>21.218012</td>\n",
       "      <td>10.361613</td>\n",
       "      <td>8.680876</td>\n",
       "      <td>4.290091</td>\n",
       "      <td>1.515116</td>\n",
       "      <td>0.933201</td>\n",
       "      <td>1.290790</td>\n",
       "      <td>0.589167</td>\n",
       "      <td>1.797243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-25 00:00:00+00:00</th>\n",
       "      <td>27.404906</td>\n",
       "      <td>14.144505</td>\n",
       "      <td>24.530905</td>\n",
       "      <td>14.985292</td>\n",
       "      <td>6.672537</td>\n",
       "      <td>4.867293</td>\n",
       "      <td>1.458899</td>\n",
       "      <td>1.815678</td>\n",
       "      <td>1.218182</td>\n",
       "      <td>1.596375</td>\n",
       "      <td>1.305427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-26 00:00:00+00:00</th>\n",
       "      <td>39.177160</td>\n",
       "      <td>9.940609</td>\n",
       "      <td>19.496714</td>\n",
       "      <td>11.109452</td>\n",
       "      <td>6.368470</td>\n",
       "      <td>3.448674</td>\n",
       "      <td>1.442450</td>\n",
       "      <td>1.690203</td>\n",
       "      <td>2.378929</td>\n",
       "      <td>4.152833</td>\n",
       "      <td>0.794507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-27 00:00:00+00:00</th>\n",
       "      <td>26.766935</td>\n",
       "      <td>11.660842</td>\n",
       "      <td>17.983374</td>\n",
       "      <td>23.777946</td>\n",
       "      <td>5.385791</td>\n",
       "      <td>2.343162</td>\n",
       "      <td>1.394474</td>\n",
       "      <td>2.964885</td>\n",
       "      <td>2.609585</td>\n",
       "      <td>4.088519</td>\n",
       "      <td>1.024488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-28 00:00:00+00:00</th>\n",
       "      <td>20.230763</td>\n",
       "      <td>8.003782</td>\n",
       "      <td>28.134525</td>\n",
       "      <td>9.949252</td>\n",
       "      <td>5.924345</td>\n",
       "      <td>2.526298</td>\n",
       "      <td>5.794979</td>\n",
       "      <td>5.232725</td>\n",
       "      <td>5.858864</td>\n",
       "      <td>6.783351</td>\n",
       "      <td>1.561114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-29 00:00:00+00:00</th>\n",
       "      <td>18.938614</td>\n",
       "      <td>8.169610</td>\n",
       "      <td>25.586889</td>\n",
       "      <td>12.172558</td>\n",
       "      <td>8.480627</td>\n",
       "      <td>6.501959</td>\n",
       "      <td>7.499683</td>\n",
       "      <td>4.049526</td>\n",
       "      <td>3.323746</td>\n",
       "      <td>4.029056</td>\n",
       "      <td>1.247732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-30 00:00:00+00:00</th>\n",
       "      <td>35.243463</td>\n",
       "      <td>10.555167</td>\n",
       "      <td>17.243217</td>\n",
       "      <td>15.949195</td>\n",
       "      <td>5.059958</td>\n",
       "      <td>3.853798</td>\n",
       "      <td>2.801514</td>\n",
       "      <td>3.926700</td>\n",
       "      <td>2.007723</td>\n",
       "      <td>2.283844</td>\n",
       "      <td>1.075420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-01 00:00:00+00:00</th>\n",
       "      <td>31.632666</td>\n",
       "      <td>12.956976</td>\n",
       "      <td>15.578165</td>\n",
       "      <td>19.152425</td>\n",
       "      <td>6.907327</td>\n",
       "      <td>4.017289</td>\n",
       "      <td>2.204173</td>\n",
       "      <td>3.274045</td>\n",
       "      <td>1.561403</td>\n",
       "      <td>1.602777</td>\n",
       "      <td>1.112754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-02 00:00:00+00:00</th>\n",
       "      <td>25.281508</td>\n",
       "      <td>11.474000</td>\n",
       "      <td>16.978840</td>\n",
       "      <td>20.736372</td>\n",
       "      <td>7.466111</td>\n",
       "      <td>5.570698</td>\n",
       "      <td>4.354134</td>\n",
       "      <td>3.818578</td>\n",
       "      <td>1.535713</td>\n",
       "      <td>1.664415</td>\n",
       "      <td>1.119630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-03 00:00:00+00:00</th>\n",
       "      <td>27.779234</td>\n",
       "      <td>10.982394</td>\n",
       "      <td>19.681539</td>\n",
       "      <td>13.232334</td>\n",
       "      <td>7.575048</td>\n",
       "      <td>8.686570</td>\n",
       "      <td>4.487634</td>\n",
       "      <td>3.914550</td>\n",
       "      <td>1.509132</td>\n",
       "      <td>1.266215</td>\n",
       "      <td>0.885351</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-04 00:00:00+00:00</th>\n",
       "      <td>27.744248</td>\n",
       "      <td>9.435388</td>\n",
       "      <td>18.426154</td>\n",
       "      <td>22.715653</td>\n",
       "      <td>6.293791</td>\n",
       "      <td>5.623055</td>\n",
       "      <td>2.500591</td>\n",
       "      <td>2.882626</td>\n",
       "      <td>1.619108</td>\n",
       "      <td>1.761227</td>\n",
       "      <td>0.998159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-05 00:00:00+00:00</th>\n",
       "      <td>19.659108</td>\n",
       "      <td>8.427409</td>\n",
       "      <td>29.770955</td>\n",
       "      <td>14.614917</td>\n",
       "      <td>6.718545</td>\n",
       "      <td>6.955554</td>\n",
       "      <td>2.501140</td>\n",
       "      <td>3.304475</td>\n",
       "      <td>2.228612</td>\n",
       "      <td>3.536127</td>\n",
       "      <td>2.283157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-06 00:00:00+00:00</th>\n",
       "      <td>20.993449</td>\n",
       "      <td>7.617764</td>\n",
       "      <td>28.486867</td>\n",
       "      <td>14.267944</td>\n",
       "      <td>6.844585</td>\n",
       "      <td>8.255616</td>\n",
       "      <td>1.848710</td>\n",
       "      <td>3.945631</td>\n",
       "      <td>2.145486</td>\n",
       "      <td>4.223452</td>\n",
       "      <td>1.370494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "base_asset                       btc        eth  248 others       usdt  \\\n",
       "time                                                                     \n",
       "2024-09-10 00:00:00+00:00  30.972149  13.067446   17.251175  24.945950   \n",
       "2024-09-11 00:00:00+00:00  42.533098  14.601279   14.904575  16.508054   \n",
       "2024-09-12 00:00:00+00:00  36.055903  11.246405   13.897469  24.472115   \n",
       "2024-09-13 00:00:00+00:00  41.600482  12.469632   15.390699  17.687048   \n",
       "2024-09-14 00:00:00+00:00  18.104549   7.169948   15.016301  46.855937   \n",
       "2024-09-15 00:00:00+00:00  31.125051  16.348491   22.996837  10.391716   \n",
       "2024-09-16 00:00:00+00:00  37.193874  17.206186   14.866560  17.164195   \n",
       "2024-09-17 00:00:00+00:00  43.462805  13.122193   14.039608  16.877017   \n",
       "2024-09-18 00:00:00+00:00  42.578945  14.389160   16.363534  10.759089   \n",
       "2024-09-19 00:00:00+00:00  40.554355  11.913760   16.697873  13.990523   \n",
       "2024-09-20 00:00:00+00:00  37.449647  13.966163   17.361613  13.270193   \n",
       "2024-09-21 00:00:00+00:00  18.083126  17.647521   28.822949  11.717905   \n",
       "2024-09-22 00:00:00+00:00  21.307804  12.658318   26.451636  17.494754   \n",
       "2024-09-23 00:00:00+00:00  28.062013  17.667165   23.868440  13.861710   \n",
       "2024-09-24 00:00:00+00:00  33.094029  16.229860   21.218012  10.361613   \n",
       "2024-09-25 00:00:00+00:00  27.404906  14.144505   24.530905  14.985292   \n",
       "2024-09-26 00:00:00+00:00  39.177160   9.940609   19.496714  11.109452   \n",
       "2024-09-27 00:00:00+00:00  26.766935  11.660842   17.983374  23.777946   \n",
       "2024-09-28 00:00:00+00:00  20.230763   8.003782   28.134525   9.949252   \n",
       "2024-09-29 00:00:00+00:00  18.938614   8.169610   25.586889  12.172558   \n",
       "2024-09-30 00:00:00+00:00  35.243463  10.555167   17.243217  15.949195   \n",
       "2024-10-01 00:00:00+00:00  31.632666  12.956976   15.578165  19.152425   \n",
       "2024-10-02 00:00:00+00:00  25.281508  11.474000   16.978840  20.736372   \n",
       "2024-10-03 00:00:00+00:00  27.779234  10.982394   19.681539  13.232334   \n",
       "2024-10-04 00:00:00+00:00  27.744248   9.435388   18.426154  22.715653   \n",
       "2024-10-05 00:00:00+00:00  19.659108   8.427409   29.770955  14.614917   \n",
       "2024-10-06 00:00:00+00:00  20.993449   7.617764   28.486867  14.267944   \n",
       "\n",
       "base_asset                      sol       sui       xrp      bonk      doge  \\\n",
       "time                                                                          \n",
       "2024-09-10 00:00:00+00:00  6.146731  1.292479  1.117807  1.095419  1.176307   \n",
       "2024-09-11 00:00:00+00:00  5.409347  0.986693  0.859503  0.918263  1.086848   \n",
       "2024-09-12 00:00:00+00:00  5.432146  2.323582  2.768770  0.686577  0.897056   \n",
       "2024-09-13 00:00:00+00:00  5.396664  1.283156  1.744660  0.639577  2.029411   \n",
       "2024-09-14 00:00:00+00:00  4.118700  1.842687  3.210786  0.853040  1.347843   \n",
       "2024-09-15 00:00:00+00:00  7.648190  3.747606  2.454636  1.244448  1.527748   \n",
       "2024-09-16 00:00:00+00:00  5.416218  2.069775  2.074828  0.735451  1.292425   \n",
       "2024-09-17 00:00:00+00:00  4.806221  2.639338  1.338655  0.617046  1.527054   \n",
       "2024-09-18 00:00:00+00:00  6.367782  4.161422  1.541983  0.689565  1.025603   \n",
       "2024-09-19 00:00:00+00:00  7.922874  3.051438  1.419195  1.071619  1.016350   \n",
       "2024-09-20 00:00:00+00:00  8.267577  3.294778  1.693500  1.156477  1.183191   \n",
       "2024-09-21 00:00:00+00:00  7.503045  4.002590  3.399164  1.988337  2.762844   \n",
       "2024-09-22 00:00:00+00:00  7.398947  7.118906  2.268850  1.122223  1.443169   \n",
       "2024-09-23 00:00:00+00:00  6.594981  4.093083  1.568748  0.654969  1.279564   \n",
       "2024-09-24 00:00:00+00:00  8.680876  4.290091  1.515116  0.933201  1.290790   \n",
       "2024-09-25 00:00:00+00:00  6.672537  4.867293  1.458899  1.815678  1.218182   \n",
       "2024-09-26 00:00:00+00:00  6.368470  3.448674  1.442450  1.690203  2.378929   \n",
       "2024-09-27 00:00:00+00:00  5.385791  2.343162  1.394474  2.964885  2.609585   \n",
       "2024-09-28 00:00:00+00:00  5.924345  2.526298  5.794979  5.232725  5.858864   \n",
       "2024-09-29 00:00:00+00:00  8.480627  6.501959  7.499683  4.049526  3.323746   \n",
       "2024-09-30 00:00:00+00:00  5.059958  3.853798  2.801514  3.926700  2.007723   \n",
       "2024-10-01 00:00:00+00:00  6.907327  4.017289  2.204173  3.274045  1.561403   \n",
       "2024-10-02 00:00:00+00:00  7.466111  5.570698  4.354134  3.818578  1.535713   \n",
       "2024-10-03 00:00:00+00:00  7.575048  8.686570  4.487634  3.914550  1.509132   \n",
       "2024-10-04 00:00:00+00:00  6.293791  5.623055  2.500591  2.882626  1.619108   \n",
       "2024-10-05 00:00:00+00:00  6.718545  6.955554  2.501140  3.304475  2.228612   \n",
       "2024-10-06 00:00:00+00:00  6.844585  8.255616  1.848710  3.945631  2.145486   \n",
       "\n",
       "base_asset                     shib       fet  \n",
       "time                                           \n",
       "2024-09-10 00:00:00+00:00  0.505209  2.429329  \n",
       "2024-09-11 00:00:00+00:00  0.510467  1.681872  \n",
       "2024-09-12 00:00:00+00:00  0.317287  1.902690  \n",
       "2024-09-13 00:00:00+00:00  0.438210  1.320460  \n",
       "2024-09-14 00:00:00+00:00  0.469507  1.010702  \n",
       "2024-09-15 00:00:00+00:00  0.543500  1.971777  \n",
       "2024-09-16 00:00:00+00:00  0.482445  1.498044  \n",
       "2024-09-17 00:00:00+00:00  0.304794  1.265270  \n",
       "2024-09-18 00:00:00+00:00  0.504158  1.618760  \n",
       "2024-09-19 00:00:00+00:00  0.619502  1.742510  \n",
       "2024-09-20 00:00:00+00:00  0.508040  1.848821  \n",
       "2024-09-21 00:00:00+00:00  1.646701  2.425818  \n",
       "2024-09-22 00:00:00+00:00  1.173459  1.561934  \n",
       "2024-09-23 00:00:00+00:00  0.547387  1.801941  \n",
       "2024-09-24 00:00:00+00:00  0.589167  1.797243  \n",
       "2024-09-25 00:00:00+00:00  1.596375  1.305427  \n",
       "2024-09-26 00:00:00+00:00  4.152833  0.794507  \n",
       "2024-09-27 00:00:00+00:00  4.088519  1.024488  \n",
       "2024-09-28 00:00:00+00:00  6.783351  1.561114  \n",
       "2024-09-29 00:00:00+00:00  4.029056  1.247732  \n",
       "2024-09-30 00:00:00+00:00  2.283844  1.075420  \n",
       "2024-10-01 00:00:00+00:00  1.602777  1.112754  \n",
       "2024-10-02 00:00:00+00:00  1.664415  1.119630  \n",
       "2024-10-03 00:00:00+00:00  1.266215  0.885351  \n",
       "2024-10-04 00:00:00+00:00  1.761227  0.998159  \n",
       "2024-10-05 00:00:00+00:00  3.536127  2.283157  \n",
       "2024-10-06 00:00:00+00:00  4.223452  1.370494  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vol_pivot = df_vol_pivot[top_assets]\n",
    "df_vol_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "884b7514-bcd8-4a34-9b8c-80647b02a650",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 100.0)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(8,6))\n",
    "\n",
    "ax.stackplot(\n",
    "    df_vol_pivot.index,\n",
    "    [df_vol_pivot[asset].astype(float) for asset in df_vol_by_base.base_asset.unique()],\n",
    "    labels=df_vol_by_base.base_asset.unique(),\n",
    ")\n",
    "ax.set_title(\"Asset Volume Share\")\n",
    "ax.yaxis.set_major_formatter(mtick.PercentFormatter())\n",
    "ax.yaxis.grid(visible=True, which='major', linestyle='--', alpha=0.5)\n",
    "ax.legend(loc='lower right', bbox_to_anchor=(1.25, 0), title=\"Asset\")\n",
    "ax.tick_params(axis='x', labelrotation=45)\n",
    "ax.xaxis.set_major_locator(plt.MaxNLocator(4))\n",
    "ax.set_xlim(volumes.time.min(), volumes.time.max())\n",
    "ax.set_ylim(0, 100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ccb5f318-b59d-4a3d-bc0e-b77eba621cf5",
   "metadata": {},
   "source": [
    "## Retrieve Trade Sizes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c0a7597-2079-4052-9fbb-3f094a1e653d",
   "metadata": {},
   "source": [
    "Trade size is a useful metric for understanding the composition of an exchange's trading patterns. Is the platform more popular for retail traders, or large institutions? Which assets are driven by whale trades vs. small buys? These patterns are especially relevant for venues like Coinbase, where fee revenue is determined by trade size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "ea24a871",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_trade_size_stats(start,end,market):\n",
    "    \"\"\" \n",
    "    For a given date and market, get stats on number of trades and dist of trade sizes \n",
    "        Returns a df with:\n",
    "             Number of trades\n",
    "             Volume (USD/Native)\n",
    "             Number of trades by size groupings\n",
    "             Volume derived from trades of various size groupings\n",
    "    \"\"\"\n",
    "    \n",
    "    #Call api\n",
    "    df_trades = client.get_market_trades(\n",
    "        markets=market,\n",
    "        start_time=start,\n",
    "        end_time=end,\n",
    "        page_size=10000\n",
    "    ).parallel(time_increment=timedelta(hours=1)).to_dataframe()\n",
    "    #Prep data\n",
    "    df_trades[\"amount_usd\"] = df_trades.amount*df_trades.price\n",
    "    df_trades[\"amount_usd_groups\"] = pd.cut(df_trades[\"amount_usd\"],bins=[0,1e3,1e4,1e5,1e6,1e7,1e100])\n",
    "    print(df_trades.time.min())\n",
    "    print(df_trades.time.max())\n",
    "\n",
    "    #Get stats by group\n",
    "    sum_count_by_size = df_trades.groupby(\"amount_usd_groups\").agg({\"amount_usd\":['count',sum]})\n",
    "    \n",
    "    #Collect into a df\n",
    "    df_day = pd.DataFrame()\n",
    "\n",
    "    df_day.loc[start,\"NumTrades\"] = len(df_trades)\n",
    "    df_day.loc[start,\"VolUSD\"] = df_trades.amount_usd.sum()\n",
    "    df_day.loc[start,\"VolNTV\"] = df_trades.amount.sum()\n",
    "\n",
    "    df_day.loc[start,\"AvgSizeUSD\"] = df_trades.amount_usd.mean()\n",
    "    df_day.loc[start,\"MedSizeUSD\"] = df_trades.amount_usd.median()\n",
    "    df_day.loc[start,\"MaxSizeUSD\"] = df_trades.amount_usd.max()\n",
    "\n",
    "    df_day.loc[start,\"NumTrades_0-1K\"]      = sum_count_by_size.iloc[0,0]\n",
    "    df_day.loc[start,\"NumTrades_1K-10K\"]    = sum_count_by_size.iloc[1,0]\n",
    "    df_day.loc[start,\"NumTrades_10K-100K\"]  = sum_count_by_size.iloc[2,0]\n",
    "    df_day.loc[start,\"NumTrades_100K-1M\"]   = sum_count_by_size.iloc[3,0]\n",
    "    df_day.loc[start,\"NumTrades_1M-10M\"]    = sum_count_by_size.iloc[4,0]\n",
    "    df_day.loc[start,\"NumTrades_10M-Over\"]  = sum_count_by_size.iloc[5,0]\n",
    "\n",
    "    df_day.loc[start,\"VolUSD_Trades_0-1K\"]     = sum_count_by_size.iloc[0,1]\n",
    "    df_day.loc[start,\"VolUSD_Trades_1K-10K\"]   = sum_count_by_size.iloc[1,1]\n",
    "    df_day.loc[start,\"VolUSD_Trades_10K-100K\"] = sum_count_by_size.iloc[2,1]\n",
    "    df_day.loc[start,\"VolUSD_Trades_100K-1M\"]  = sum_count_by_size.iloc[3,1]\n",
    "    df_day.loc[start,\"VolUSD_Trades_1M-10M\"]   = sum_count_by_size.iloc[4,1]\n",
    "    df_day.loc[start,\"VolUSD_Trades_10M-Over\"] = sum_count_by_size.iloc[5,1]\n",
    "    \n",
    "    return df_day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "bd168105-c17f-4ebe-8ad9-decc4203ec94",
   "metadata": {},
   "outputs": [],
   "source": [
    "start = datetime.today() - timedelta(hours=24)\n",
    "end = datetime.today()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c7244136",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exporting to dataframe type:  44%|██████████████████████                            | 11/25 [00:02<00:02,  6.99it/s]2024-10-07 12:48:43 INFO     no data to export\n",
      "Exporting to dataframe type: 100%|██████████████████████████████████████████████████| 25/25 [00:04<00:00,  5.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024-10-06 12:48:39.766637+00:00\n",
      "2024-10-07 12:48:31.860605+00:00\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df = get_trade_size_stats(start, end,'coinbase-btc-usd-spot')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b0d05a96-6378-47af-8be9-8dd61b29823f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NumTrades</th>\n",
       "      <th>VolUSD</th>\n",
       "      <th>VolNTV</th>\n",
       "      <th>AvgSizeUSD</th>\n",
       "      <th>MedSizeUSD</th>\n",
       "      <th>MaxSizeUSD</th>\n",
       "      <th>NumTrades_0-1K</th>\n",
       "      <th>NumTrades_1K-10K</th>\n",
       "      <th>NumTrades_10K-100K</th>\n",
       "      <th>NumTrades_100K-1M</th>\n",
       "      <th>NumTrades_1M-10M</th>\n",
       "      <th>NumTrades_10M-Over</th>\n",
       "      <th>VolUSD_Trades_0-1K</th>\n",
       "      <th>VolUSD_Trades_1K-10K</th>\n",
       "      <th>VolUSD_Trades_10K-100K</th>\n",
       "      <th>VolUSD_Trades_100K-1M</th>\n",
       "      <th>VolUSD_Trades_1M-10M</th>\n",
       "      <th>VolUSD_Trades_10M-Over</th>\n",
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       "  </thead>\n",
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       "      <th>2024-10-06 12:48:39.638626</th>\n",
       "      <td>233725.0</td>\n",
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       "      <td>1147.434052</td>\n",
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       "      <td>475567.911314</td>\n",
       "      <td>187168.0</td>\n",
       "      <td>41234.0</td>\n",
       "      <td>5278.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1.056560e+08</td>\n",
       "      <td>7.601298e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            NumTrades        VolUSD      VolNTV   AvgSizeUSD  \\\n",
       "2024-10-06 12:48:39.638626   233725.0  2.681840e+08  4249.99384  1147.434052   \n",
       "\n",
       "                            MedSizeUSD     MaxSizeUSD  NumTrades_0-1K  \\\n",
       "2024-10-06 12:48:39.638626   48.436912  475567.911314        187168.0   \n",
       "\n",
       "                            NumTrades_1K-10K  NumTrades_10K-100K  \\\n",
       "2024-10-06 12:48:39.638626           41234.0              5278.0   \n",
       "\n",
       "                            NumTrades_100K-1M  NumTrades_1M-10M  \\\n",
       "2024-10-06 12:48:39.638626               45.0               0.0   \n",
       "\n",
       "                            NumTrades_10M-Over  VolUSD_Trades_0-1K  \\\n",
       "2024-10-06 12:48:39.638626                 0.0        1.983836e+07   \n",
       "\n",
       "                            VolUSD_Trades_1K-10K  VolUSD_Trades_10K-100K  \\\n",
       "2024-10-06 12:48:39.638626          1.350884e+08            1.056560e+08   \n",
       "\n",
       "                            VolUSD_Trades_100K-1M  VolUSD_Trades_1M-10M  \\\n",
       "2024-10-06 12:48:39.638626           7.601298e+06                   0.0   \n",
       "\n",
       "                            VolUSD_Trades_10M-Over  \n",
       "2024-10-06 12:48:39.638626                     0.0  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fded14f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2024-10-06 12:48:39.638626</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>NumTrades</th>\n",
       "      <td>2.337250e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolUSD</th>\n",
       "      <td>2.681840e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolNTV</th>\n",
       "      <td>4.249994e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AvgSizeUSD</th>\n",
       "      <td>1.147434e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MedSizeUSD</th>\n",
       "      <td>4.843691e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MaxSizeUSD</th>\n",
       "      <td>4.755679e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumTrades_0-1K</th>\n",
       "      <td>1.871680e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumTrades_1K-10K</th>\n",
       "      <td>4.123400e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumTrades_10K-100K</th>\n",
       "      <td>5.278000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumTrades_100K-1M</th>\n",
       "      <td>4.500000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumTrades_1M-10M</th>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NumTrades_10M-Over</th>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolUSD_Trades_0-1K</th>\n",
       "      <td>1.983836e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolUSD_Trades_1K-10K</th>\n",
       "      <td>1.350884e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolUSD_Trades_10K-100K</th>\n",
       "      <td>1.056560e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolUSD_Trades_100K-1M</th>\n",
       "      <td>7.601298e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolUSD_Trades_1M-10M</th>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VolUSD_Trades_10M-Over</th>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        2024-10-06 12:48:39.638626\n",
       "NumTrades                             2.337250e+05\n",
       "VolUSD                                2.681840e+08\n",
       "VolNTV                                4.249994e+03\n",
       "AvgSizeUSD                            1.147434e+03\n",
       "MedSizeUSD                            4.843691e+01\n",
       "MaxSizeUSD                            4.755679e+05\n",
       "NumTrades_0-1K                        1.871680e+05\n",
       "NumTrades_1K-10K                      4.123400e+04\n",
       "NumTrades_10K-100K                    5.278000e+03\n",
       "NumTrades_100K-1M                     4.500000e+01\n",
       "NumTrades_1M-10M                      0.000000e+00\n",
       "NumTrades_10M-Over                    0.000000e+00\n",
       "VolUSD_Trades_0-1K                    1.983836e+07\n",
       "VolUSD_Trades_1K-10K                  1.350884e+08\n",
       "VolUSD_Trades_10K-100K                1.056560e+08\n",
       "VolUSD_Trades_100K-1M                 7.601298e+06\n",
       "VolUSD_Trades_1M-10M                  0.000000e+00\n",
       "VolUSD_Trades_10M-Over                0.000000e+00"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.transpose()#.rename_axis('value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0d3065f9-00eb-4f0d-add8-81b80e6c5ba1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0-1K</th>\n",
       "      <th>1K-10K</th>\n",
       "      <th>10K-100K</th>\n",
       "      <th>100K-1M</th>\n",
       "      <th>1M-10M</th>\n",
       "      <th>10M-Over</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-10-06 12:48:39.638626</th>\n",
       "      <td>1.983836e+07</td>\n",
       "      <td>1.350884e+08</td>\n",
       "      <td>1.056560e+08</td>\n",
       "      <td>7.601298e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    0-1K        1K-10K      10K-100K  \\\n",
       "2024-10-06 12:48:39.638626  1.983836e+07  1.350884e+08  1.056560e+08   \n",
       "\n",
       "                                 100K-1M  1M-10M  10M-Over  \n",
       "2024-10-06 12:48:39.638626  7.601298e+06     0.0       0.0  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trade_sizes = df[['VolUSD_Trades_0-1K',\n",
    "                  'VolUSD_Trades_1K-10K',\n",
    "                  'VolUSD_Trades_10K-100K',\n",
    "                  'VolUSD_Trades_100K-1M',\n",
    "                  'VolUSD_Trades_1M-10M',\n",
    "                  'VolUSD_Trades_10M-Over']]\n",
    "\n",
    "trade_sizes = trade_sizes.rename(columns=lambda x: x.split('_')[2])\n",
    "trade_sizes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "cb14afd7-68e4-4efa-a3a4-84e14182becc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.bar(\n",
    "    x=trade_sizes.columns,\n",
    "    height=np.hstack([trade_sizes[c].astype(float) for c in trade_sizes.columns])\n",
    ")\n",
    "\n",
    "ax.set_title(f\"Coinbase Volume by Trade Size \\n{start.isoformat()[:16]} to {end.isoformat()[:16]}\")\n",
    "ax.yaxis.set_major_formatter(format_ticks_usd)\n",
    "ax.yaxis.grid(visible=True, which='major', linestyle='--', alpha=0.5)\n"
   ]
  }
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