{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8b4405f3-ff20-45fc-b83b-8ab976285d28",
   "metadata": {},
   "source": [
    "<img src=\"https://5264302.fs1.hubspotusercontent-na1.net/hubfs/5264302/Demo%20Asset%20Resources/Demo%20Covers/CM-Demo-market_cap_metrics-Cover.png\" width=1100 margin-left='auto' margin-right='auto'/>\n",
    "\n",
    "This notebook demonstrates basic functionality offered by the Coin Metrics Python API Client and Network Data Pro.\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",
    "## Resources\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": "16c3476d-c33a-421e-811e-344b59735ec0",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7fbd2927-9184-41fd-8403-b259146ee1a2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from os import environ\n",
    "import sys\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\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.ticker as mticker\n",
    "from matplotlib.dates import DateFormatter\n",
    "from matplotlib.ticker import FuncFormatter\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "abc14b24-03f4-457c-94aa-0c33ff01c79b",
   "metadata": {
    "tags": []
   },
   "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": 36,
   "id": "f9528cf5-4235-42ba-b7a6-3891a4588009",
   "metadata": {},
   "outputs": [],
   "source": [
    "end_time = datetime.today().date()\n",
    "start_time = end_time - timedelta(days=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26bee468-2e40-425d-ac4b-7ddabd3d2af8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ecbe22c4-ee5a-4130-bc7f-9bf9a61b4bc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-09-16 15:00:54 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",
    "\n",
    "\n",
    "client = CoinMetricsClient(api_key)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32cfcda6-2546-4965-82a6-bdf857ffc251",
   "metadata": {},
   "source": [
    "# Market Cap Based on Verified On-Chain Supply\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3556b1a-9ccc-448a-bd1e-a235388109f9",
   "metadata": {},
   "source": [
    "In order to trustlessly verify market capitalization, Coin Metrics directly indexes the blockchain to independently validate the amount of circulating supply.\n",
    "\n",
    "The **CapMrktCurUSD** metric offers the most reliable measure of asset supply, with the trade-off of slightly limited asset coverage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0b878e09-a6ca-4a85-8bd0-5232fdc480fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_reference_capmkrtcur = client.reference_data_asset_metrics(metrics='CapMrktCurUSD').to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "00470622-eaba-4f79-b105-176ae2d83a55",
   "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>metric</th>\n",
       "      <th>full_name</th>\n",
       "      <th>description</th>\n",
       "      <th>product</th>\n",
       "      <th>category</th>\n",
       "      <th>subcategory</th>\n",
       "      <th>unit</th>\n",
       "      <th>data_type</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CapMrktCurUSD</td>\n",
       "      <td>Capitalization, market, current supply, USD</td>\n",
       "      <td>The sum USD value of the current supply. Also ...</td>\n",
       "      <td>Network Data</td>\n",
       "      <td>Market</td>\n",
       "      <td>Market Capitalization</td>\n",
       "      <td>USD</td>\n",
       "      <td>decimal</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          metric                                    full_name  \\\n",
       "0  CapMrktCurUSD  Capitalization, market, current supply, USD   \n",
       "\n",
       "                                         description       product category  \\\n",
       "0  The sum USD value of the current supply. Also ...  Network Data   Market   \n",
       "\n",
       "             subcategory unit data_type     type  \n",
       "0  Market Capitalization  USD   decimal  Product  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reference_capmkrtcur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b8f9f8e8-2f27-48d4-a118-9aaca95f1e91",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_capmrktcur_assets = [a['asset'] for a in client.catalog_asset_metrics_v2(metrics='CapMrktCurUSD')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "12016d83-6f35-4620-afc5-deb9a0fcff0d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of assets with Market Cap: 153\n"
     ]
    }
   ],
   "source": [
    "print(f\"Number of assets with Market Cap: {len(list_capmrktcur_assets)}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1a8e7976-8cd1-49df-932b-78c53293ea01",
   "metadata": {},
   "outputs": [],
   "source": [
    "capmrktcur = client.get_asset_metrics(\n",
    "    assets=list_capmrktcur_assets,\n",
    "    metrics='CapMrktCurUSD',\n",
    "    start_time=start_time,\n",
    "    end_time=end_time,\n",
    "    page_size=1000\n",
    ").to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "6e77feb3-9ad9-48b3-b203-7d4b655cc9a8",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>asset</th>\n",
       "      <th>time</th>\n",
       "      <th>CapMrktCurUSD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1inch</td>\n",
       "      <td>2024-06-18 00:00:00+00:00</td>\n",
       "      <td>601806926.332868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1inch</td>\n",
       "      <td>2024-06-19 00:00:00+00:00</td>\n",
       "      <td>669292018.418909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1inch</td>\n",
       "      <td>2024-06-20 00:00:00+00:00</td>\n",
       "      <td>638964090.844949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1inch</td>\n",
       "      <td>2024-06-21 00:00:00+00:00</td>\n",
       "      <td>602574091.306198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1inch</td>\n",
       "      <td>2024-06-22 00:00:00+00:00</td>\n",
       "      <td>614578628.290457</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   asset                      time     CapMrktCurUSD\n",
       "0  1inch 2024-06-18 00:00:00+00:00  601806926.332868\n",
       "1  1inch 2024-06-19 00:00:00+00:00  669292018.418909\n",
       "2  1inch 2024-06-20 00:00:00+00:00  638964090.844949\n",
       "3  1inch 2024-06-21 00:00:00+00:00  602574091.306198\n",
       "4  1inch 2024-06-22 00:00:00+00:00  614578628.290457"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "capmrktcur.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "d1550b1b-7435-4965-b3fb-aadbe5b8b545",
   "metadata": {},
   "outputs": [],
   "source": [
    "capmrktcur_pivot = capmrktcur.pivot(index='time',columns='asset',values='CapMrktCurUSD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "e8dcb1d2-cdf7-4f8c-aab6-1a46f4df4a09",
   "metadata": {},
   "outputs": [],
   "source": [
    "capmrktcur_pivot['Total Cap'] = capmrktcur_pivot.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8d8d1514-4c16-419d-8cfa-080261311539",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>asset</th>\n",
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       "      <th>...</th>\n",
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       "      <th>zec</th>\n",
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       "      <th>Total Cap</th>\n",
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       "      <th>2024-06-18 00:00:00+00:00</th>\n",
       "      <td>601806926.332868</td>\n",
       "      <td>1306437999.295638</td>\n",
       "      <td>13424730961.241064</td>\n",
       "      <td>8832610.158148</td>\n",
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       "      <td>80619082.899196</td>\n",
       "      <td>352010549.615121</td>\n",
       "      <td>2388322499.746325</td>\n",
       "      <td>12838611730.911514</td>\n",
       "      <td>713309094.675862</td>\n",
       "      <td>...</td>\n",
       "      <td>126980953.174033</td>\n",
       "      <td>9610695086.9286</td>\n",
       "      <td>3054203115.691232</td>\n",
       "      <td>49052418232.612778</td>\n",
       "      <td>6724446390.59112</td>\n",
       "      <td>212203308.017145</td>\n",
       "      <td>311270858.886043</td>\n",
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       "      <td>669292018.418909</td>\n",
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       "      <td>13423644078.574947</td>\n",
       "      <td>9099450.288229</td>\n",
       "      <td>1382363720.84246</td>\n",
       "      <td>81094309.783218</td>\n",
       "      <td>356082846.868479</td>\n",
       "      <td>2414215130.39066</td>\n",
       "      <td>12984873845.978542</td>\n",
       "      <td>721319158.751801</td>\n",
       "      <td>...</td>\n",
       "      <td>126674840.822162</td>\n",
       "      <td>9820585062.035196</td>\n",
       "      <td>3020726381.652565</td>\n",
       "      <td>49268483622.64537</td>\n",
       "      <td>6829094885.807176</td>\n",
       "      <td>217383791.66592</td>\n",
       "      <td>303049562.236562</td>\n",
       "      <td>2343771.624651</td>\n",
       "      <td>353937035.765548</td>\n",
       "      <td>2.237127e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-20 00:00:00+00:00</th>\n",
       "      <td>638964090.844949</td>\n",
       "      <td>1358825403.114587</td>\n",
       "      <td>13453912813.410269</td>\n",
       "      <td>9227041.800181</td>\n",
       "      <td>1383256522.94337</td>\n",
       "      <td>84522774.743021</td>\n",
       "      <td>350618174.842791</td>\n",
       "      <td>2471190230.800348</td>\n",
       "      <td>13321331442.85092</td>\n",
       "      <td>739621942.386422</td>\n",
       "      <td>...</td>\n",
       "      <td>132373773.581515</td>\n",
       "      <td>9896582194.97669</td>\n",
       "      <td>3046146822.064857</td>\n",
       "      <td>48866370533.68499</td>\n",
       "      <td>6940480158.50313</td>\n",
       "      <td>216572442.484699</td>\n",
       "      <td>303519008.658101</td>\n",
       "      <td>2350164.716928</td>\n",
       "      <td>360417663.325525</td>\n",
       "      <td>2.231134e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-21 00:00:00+00:00</th>\n",
       "      <td>602574091.306198</td>\n",
       "      <td>1310711198.734895</td>\n",
       "      <td>13174182377.372046</td>\n",
       "      <td>9316984.240167</td>\n",
       "      <td>1391489499.4855</td>\n",
       "      <td>82641066.611264</td>\n",
       "      <td>353348338.081292</td>\n",
       "      <td>2456046637.217133</td>\n",
       "      <td>13261561451.744013</td>\n",
       "      <td>738741018.612855</td>\n",
       "      <td>...</td>\n",
       "      <td>129064560.654881</td>\n",
       "      <td>9697203679.229527</td>\n",
       "      <td>2863904454.917198</td>\n",
       "      <td>48889782361.155952</td>\n",
       "      <td>6827462838.701295</td>\n",
       "      <td>213908822.241556</td>\n",
       "      <td>304438515.678476</td>\n",
       "      <td>2329727.25247</td>\n",
       "      <td>359650229.244396</td>\n",
       "      <td>2.214003e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-06-22 00:00:00+00:00</th>\n",
       "      <td>614578628.290457</td>\n",
       "      <td>1303628383.546602</td>\n",
       "      <td>13475267480.649416</td>\n",
       "      <td>9080680.725316</td>\n",
       "      <td>1339705315.54913</td>\n",
       "      <td>81442254.171929</td>\n",
       "      <td>351060582.670069</td>\n",
       "      <td>2342337218.532271</td>\n",
       "      <td>12381600154.273886</td>\n",
       "      <td>639220357.617559</td>\n",
       "      <td>...</td>\n",
       "      <td>129465576.97741</td>\n",
       "      <td>9581669381.902111</td>\n",
       "      <td>2995259845.285223</td>\n",
       "      <td>48655540991.974068</td>\n",
       "      <td>7013277883.554922</td>\n",
       "      <td>214667247.899236</td>\n",
       "      <td>304854610.414748</td>\n",
       "      <td>2373452.370937</td>\n",
       "      <td>359377609.401009</td>\n",
       "      <td>2.213118e+12</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",
       "      <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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-11 00:00:00+00:00</th>\n",
       "      <td>370795675.998745</td>\n",
       "      <td>2394157493.994128</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>7086282.571463</td>\n",
       "      <td>1272138738.08548</td>\n",
       "      <td>55696931.758843</td>\n",
       "      <td>236080888.610476</td>\n",
       "      <td>2381194755.211256</td>\n",
       "      <td>11102231898.578779</td>\n",
       "      <td>561574500.581236</td>\n",
       "      <td>...</td>\n",
       "      <td>150087591.429489</td>\n",
       "      <td>9790016731.104605</td>\n",
       "      <td>3120199983.171181</td>\n",
       "      <td>53527147783.98262</td>\n",
       "      <td>6095473842.098846</td>\n",
       "      <td>178156431.46414</td>\n",
       "      <td>459255827.96882</td>\n",
       "      <td>1810381.365383</td>\n",
       "      <td>277605159.385683</td>\n",
       "      <td>1.915254e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-12 00:00:00+00:00</th>\n",
       "      <td>384232522.92621</td>\n",
       "      <td>2327005794.360288</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>7371122.985217</td>\n",
       "      <td>1299855257.21774</td>\n",
       "      <td>57785093.830921</td>\n",
       "      <td>236071341.779449</td>\n",
       "      <td>2452806790.290408</td>\n",
       "      <td>11431048630.015509</td>\n",
       "      <td>578191291.778559</td>\n",
       "      <td>...</td>\n",
       "      <td>154361726.733294</td>\n",
       "      <td>9997934147.338022</td>\n",
       "      <td>3105706133.057552</td>\n",
       "      <td>56215867452.010078</td>\n",
       "      <td>6267860632.323607</td>\n",
       "      <td>178663216.244342</td>\n",
       "      <td>454920192.594087</td>\n",
       "      <td>1848757.475975</td>\n",
       "      <td>287032283.247654</td>\n",
       "      <td>1.939759e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-13 00:00:00+00:00</th>\n",
       "      <td>400557336.250521</td>\n",
       "      <td>2311665536.23392</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>7832592.091806</td>\n",
       "      <td>1330044901.28941</td>\n",
       "      <td>58858736.968168</td>\n",
       "      <td>240512223.869399</td>\n",
       "      <td>2545118411.801699</td>\n",
       "      <td>11866069991.509184</td>\n",
       "      <td>600182210.371027</td>\n",
       "      <td>...</td>\n",
       "      <td>157141907.013232</td>\n",
       "      <td>10153491708.845804</td>\n",
       "      <td>3064948299.210351</td>\n",
       "      <td>57221528978.257057</td>\n",
       "      <td>6405467690.943713</td>\n",
       "      <td>179478034.544076</td>\n",
       "      <td>473244206.395726</td>\n",
       "      <td>1885345.54056</td>\n",
       "      <td>297832199.512269</td>\n",
       "      <td>2.004984e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-14 00:00:00+00:00</th>\n",
       "      <td>393157001.05276</td>\n",
       "      <td>2244118799.251264</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>7425554.562711</td>\n",
       "      <td>1312275710.52702</td>\n",
       "      <td>59357434.029832</td>\n",
       "      <td>241324187.737431</td>\n",
       "      <td>2585622436.498027</td>\n",
       "      <td>12055268780.843508</td>\n",
       "      <td>609742449.013718</td>\n",
       "      <td>...</td>\n",
       "      <td>163021038.424844</td>\n",
       "      <td>10239633535.133228</td>\n",
       "      <td>3044883873.886052</td>\n",
       "      <td>59683009523.175056</td>\n",
       "      <td>6404671209.191757</td>\n",
       "      <td>180551959.332886</td>\n",
       "      <td>474742175.553408</td>\n",
       "      <td>1876469.594495</td>\n",
       "      <td>293961123.7075</td>\n",
       "      <td>1.991043e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-15 00:00:00+00:00</th>\n",
       "      <td>368561790.184033</td>\n",
       "      <td>2297900163.986864</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>7423784.032991</td>\n",
       "      <td>1265330435.59742</td>\n",
       "      <td>56307463.023177</td>\n",
       "      <td>237024036.656687</td>\n",
       "      <td>2436809618.506954</td>\n",
       "      <td>11348207028.418108</td>\n",
       "      <td>574093158.696821</td>\n",
       "      <td>...</td>\n",
       "      <td>160791667.882743</td>\n",
       "      <td>10027244938.128235</td>\n",
       "      <td>3063351773.476915</td>\n",
       "      <td>57120501674.456192</td>\n",
       "      <td>6073655509.257232</td>\n",
       "      <td>179087880.508707</td>\n",
       "      <td>453729407.723865</td>\n",
       "      <td>1816117.52146</td>\n",
       "      <td>286316863.361929</td>\n",
       "      <td>1.950918e+12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 137 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "asset                             1inch              aave       \\\n",
       "time                                                             \n",
       "2024-06-18 00:00:00+00:00  601806926.332868  1306437999.295638   \n",
       "2024-06-19 00:00:00+00:00  669292018.418909  1400637382.569757   \n",
       "2024-06-20 00:00:00+00:00  638964090.844949  1358825403.114587   \n",
       "2024-06-21 00:00:00+00:00  602574091.306198  1310711198.734895   \n",
       "2024-06-22 00:00:00+00:00  614578628.290457  1303628383.546602   \n",
       "...                                     ...                ...   \n",
       "2024-09-11 00:00:00+00:00  370795675.998745  2394157493.994128   \n",
       "2024-09-12 00:00:00+00:00   384232522.92621  2327005794.360288   \n",
       "2024-09-13 00:00:00+00:00  400557336.250521   2311665536.23392   \n",
       "2024-09-14 00:00:00+00:00   393157001.05276  2244118799.251264   \n",
       "2024-09-15 00:00:00+00:00  368561790.184033  2297900163.986864   \n",
       "\n",
       "asset                               ada             ae_eth     \\\n",
       "time                                                            \n",
       "2024-06-18 00:00:00+00:00  13424730961.241064  8832610.158148   \n",
       "2024-06-19 00:00:00+00:00  13423644078.574947  9099450.288229   \n",
       "2024-06-20 00:00:00+00:00  13453912813.410269  9227041.800181   \n",
       "2024-06-21 00:00:00+00:00  13174182377.372046  9316984.240167   \n",
       "2024-06-22 00:00:00+00:00  13475267480.649416  9080680.725316   \n",
       "...                                       ...             ...   \n",
       "2024-09-11 00:00:00+00:00                <NA>  7086282.571463   \n",
       "2024-09-12 00:00:00+00:00                <NA>  7371122.985217   \n",
       "2024-09-13 00:00:00+00:00                <NA>  7832592.091806   \n",
       "2024-09-14 00:00:00+00:00                <NA>  7425554.562711   \n",
       "2024-09-15 00:00:00+00:00                <NA>  7423784.032991   \n",
       "\n",
       "asset                             algo             alpha      \\\n",
       "time                                                           \n",
       "2024-06-18 00:00:00+00:00  1339360258.68476  80619082.899196   \n",
       "2024-06-19 00:00:00+00:00  1382363720.84246  81094309.783218   \n",
       "2024-06-20 00:00:00+00:00  1383256522.94337  84522774.743021   \n",
       "2024-06-21 00:00:00+00:00   1391489499.4855  82641066.611264   \n",
       "2024-06-22 00:00:00+00:00  1339705315.54913  81442254.171929   \n",
       "...                                     ...              ...   \n",
       "2024-09-11 00:00:00+00:00  1272138738.08548  55696931.758843   \n",
       "2024-09-12 00:00:00+00:00  1299855257.21774  57785093.830921   \n",
       "2024-09-13 00:00:00+00:00  1330044901.28941  58858736.968168   \n",
       "2024-09-14 00:00:00+00:00  1312275710.52702  59357434.029832   \n",
       "2024-09-15 00:00:00+00:00  1265330435.59742  56307463.023177   \n",
       "\n",
       "asset                             ant                avaxc      \\\n",
       "time                                                             \n",
       "2024-06-18 00:00:00+00:00  352010549.615121  2388322499.746325   \n",
       "2024-06-19 00:00:00+00:00  356082846.868479   2414215130.39066   \n",
       "2024-06-20 00:00:00+00:00  350618174.842791  2471190230.800348   \n",
       "2024-06-21 00:00:00+00:00  353348338.081292  2456046637.217133   \n",
       "2024-06-22 00:00:00+00:00  351060582.670069  2342337218.532271   \n",
       "...                                     ...                ...   \n",
       "2024-09-11 00:00:00+00:00  236080888.610476  2381194755.211256   \n",
       "2024-09-12 00:00:00+00:00  236071341.779449  2452806790.290408   \n",
       "2024-09-13 00:00:00+00:00  240512223.869399  2545118411.801699   \n",
       "2024-09-14 00:00:00+00:00  241324187.737431  2585622436.498027   \n",
       "2024-09-15 00:00:00+00:00  237024036.656687  2436809618.506954   \n",
       "\n",
       "asset                               avaxp             avaxx      ...  \\\n",
       "time                                                             ...   \n",
       "2024-06-18 00:00:00+00:00  12838611730.911514  713309094.675862  ...   \n",
       "2024-06-19 00:00:00+00:00  12984873845.978542  721319158.751801  ...   \n",
       "2024-06-20 00:00:00+00:00   13321331442.85092  739621942.386422  ...   \n",
       "2024-06-21 00:00:00+00:00  13261561451.744013  738741018.612855  ...   \n",
       "2024-06-22 00:00:00+00:00  12381600154.273886  639220357.617559  ...   \n",
       "...                                       ...               ...  ...   \n",
       "2024-09-11 00:00:00+00:00  11102231898.578779  561574500.581236  ...   \n",
       "2024-09-12 00:00:00+00:00  11431048630.015509  578191291.778559  ...   \n",
       "2024-09-13 00:00:00+00:00  11866069991.509184  600182210.371027  ...   \n",
       "2024-09-14 00:00:00+00:00  12055268780.843508  609742449.013718  ...   \n",
       "2024-09-15 00:00:00+00:00  11348207028.418108  574093158.696821  ...   \n",
       "\n",
       "asset                             xem                 xlm        \\\n",
       "time                                                              \n",
       "2024-06-18 00:00:00+00:00  126980953.174033     9610695086.9286   \n",
       "2024-06-19 00:00:00+00:00  126674840.822162   9820585062.035196   \n",
       "2024-06-20 00:00:00+00:00  132373773.581515    9896582194.97669   \n",
       "2024-06-21 00:00:00+00:00  129064560.654881   9697203679.229527   \n",
       "2024-06-22 00:00:00+00:00   129465576.97741   9581669381.902111   \n",
       "...                                     ...                 ...   \n",
       "2024-09-11 00:00:00+00:00  150087591.429489   9790016731.104605   \n",
       "2024-09-12 00:00:00+00:00  154361726.733294   9997934147.338022   \n",
       "2024-09-13 00:00:00+00:00  157141907.013232  10153491708.845804   \n",
       "2024-09-14 00:00:00+00:00  163021038.424844  10239633535.133228   \n",
       "2024-09-15 00:00:00+00:00  160791667.882743  10027244938.128235   \n",
       "\n",
       "asset                              xmr                 xrp        \\\n",
       "time                                                               \n",
       "2024-06-18 00:00:00+00:00  3054203115.691232  49052418232.612778   \n",
       "2024-06-19 00:00:00+00:00  3020726381.652565   49268483622.64537   \n",
       "2024-06-20 00:00:00+00:00  3046146822.064857   48866370533.68499   \n",
       "2024-06-21 00:00:00+00:00  2863904454.917198  48889782361.155952   \n",
       "2024-06-22 00:00:00+00:00  2995259845.285223  48655540991.974068   \n",
       "...                                      ...                 ...   \n",
       "2024-09-11 00:00:00+00:00  3120199983.171181   53527147783.98262   \n",
       "2024-09-12 00:00:00+00:00  3105706133.057552  56215867452.010078   \n",
       "2024-09-13 00:00:00+00:00  3064948299.210351  57221528978.257057   \n",
       "2024-09-14 00:00:00+00:00  3044883873.886052  59683009523.175056   \n",
       "2024-09-15 00:00:00+00:00  3063351773.476915  57120501674.456192   \n",
       "\n",
       "asset                              xvg               yfi        \\\n",
       "time                                                             \n",
       "2024-06-18 00:00:00+00:00   6724446390.59112  212203308.017145   \n",
       "2024-06-19 00:00:00+00:00  6829094885.807176   217383791.66592   \n",
       "2024-06-20 00:00:00+00:00   6940480158.50313  216572442.484699   \n",
       "2024-06-21 00:00:00+00:00  6827462838.701295  213908822.241556   \n",
       "2024-06-22 00:00:00+00:00  7013277883.554922  214667247.899236   \n",
       "...                                      ...               ...   \n",
       "2024-09-11 00:00:00+00:00  6095473842.098846   178156431.46414   \n",
       "2024-09-12 00:00:00+00:00  6267860632.323607  178663216.244342   \n",
       "2024-09-13 00:00:00+00:00  6405467690.943713  179478034.544076   \n",
       "2024-09-14 00:00:00+00:00  6404671209.191757  180551959.332886   \n",
       "2024-09-15 00:00:00+00:00  6073655509.257232  179087880.508707   \n",
       "\n",
       "asset                             zec             zil_eth           zrx        \\\n",
       "time                                                                            \n",
       "2024-06-18 00:00:00+00:00  311270858.886043  2305684.889749   336195840.86146   \n",
       "2024-06-19 00:00:00+00:00  303049562.236562  2343771.624651  353937035.765548   \n",
       "2024-06-20 00:00:00+00:00  303519008.658101  2350164.716928  360417663.325525   \n",
       "2024-06-21 00:00:00+00:00  304438515.678476   2329727.25247  359650229.244396   \n",
       "2024-06-22 00:00:00+00:00  304854610.414748  2373452.370937  359377609.401009   \n",
       "...                                     ...             ...               ...   \n",
       "2024-09-11 00:00:00+00:00   459255827.96882  1810381.365383  277605159.385683   \n",
       "2024-09-12 00:00:00+00:00  454920192.594087  1848757.475975  287032283.247654   \n",
       "2024-09-13 00:00:00+00:00  473244206.395726   1885345.54056  297832199.512269   \n",
       "2024-09-14 00:00:00+00:00  474742175.553408  1876469.594495    293961123.7075   \n",
       "2024-09-15 00:00:00+00:00  453729407.723865   1816117.52146  286316863.361929   \n",
       "\n",
       "asset                         Total Cap  \n",
       "time                                     \n",
       "2024-06-18 00:00:00+00:00  2.229542e+12  \n",
       "2024-06-19 00:00:00+00:00  2.237127e+12  \n",
       "2024-06-20 00:00:00+00:00  2.231134e+12  \n",
       "2024-06-21 00:00:00+00:00  2.214003e+12  \n",
       "2024-06-22 00:00:00+00:00  2.213118e+12  \n",
       "...                                 ...  \n",
       "2024-09-11 00:00:00+00:00  1.915254e+12  \n",
       "2024-09-12 00:00:00+00:00  1.939759e+12  \n",
       "2024-09-13 00:00:00+00:00  2.004984e+12  \n",
       "2024-09-14 00:00:00+00:00  1.991043e+12  \n",
       "2024-09-15 00:00:00+00:00  1.950918e+12  \n",
       "\n",
       "[90 rows x 137 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "capmrktcur_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "38044bb2-deec-47b6-b961-2015c5ae6126",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current Market Cap based on verified on-chain supply: $1,950,918,193,666.17\n"
     ]
    }
   ],
   "source": [
    "current_market_cap_last = capmrktcur_pivot['Total Cap'][-1]\n",
    "\n",
    "formatted_market_cap = '${:,.2f}'.format(current_market_cap_last)\n",
    "\n",
    "print('Current Market Cap based on verified on-chain supply: ' + formatted_market_cap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "08665c76-4b08-4fcd-8741-07167c7b3700",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "capmrktcur_pivot['Total Cap'].plot(kind='area', stacked=True)\n",
    "\n",
    "# Set the title and labels\n",
    "plt.title('Total Crypto Market Cap \\n(CapMrktCurUSD)\\n',fontsize=16)\n",
    "plt.xlabel('') \n",
    "plt.ylabel('Market Cap (USD)',fontsize=14)\n",
    "plt.grid(True, alpha=0.3, linestyle='--')\n",
    "formatter = mticker.FuncFormatter(lambda x, pos: '${:,.2f}T'.format(x/1000000000000))\n",
    "plt.gca().yaxis.set_major_formatter(formatter)\n",
    "\n",
    "plt.savefig(\"ndp_capmrktcurusd.png\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "250347f4-d720-4c89-bec1-099adb3e21e5",
   "metadata": {},
   "source": [
    "![CapMrktCurUSD](ndp_capmrktcurusd.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "576b5819-366a-4616-9969-236c6b23a8f0",
   "metadata": {},
   "source": [
    "# Estimated Market Cap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91cc5743-2b33-4992-a303-a8d1665709ab",
   "metadata": {},
   "source": [
    "Due to the complexity of running blockchain nodes, some assets pose additional challenges in directly verifying supply data. Coin Metrics partners with CoinGecko to offer a \"estimated supply\" metric, sourced from a variety of third-party sources like token projects or blockchain explorers.\n",
    "\n",
    "The **CapMrktEstUSD** metric offers slightly wider asset coverage, with the trade-off of leveraging more \"trusted\" sources for supply."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a6be5dca-8c63-4c2c-b878-51ef740a7a99",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_reference_capmrktest = client.reference_data_asset_metrics(metrics='CapMrktEstUSD').to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a9c8cdc3-9fe1-4c9c-a00d-91a238e2fd99",
   "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>metric</th>\n",
       "      <th>full_name</th>\n",
       "      <th>description</th>\n",
       "      <th>product</th>\n",
       "      <th>category</th>\n",
       "      <th>subcategory</th>\n",
       "      <th>unit</th>\n",
       "      <th>data_type</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CapMrktEstUSD</td>\n",
       "      <td>Capitalization, market, estimated supply, USD</td>\n",
       "      <td>The sum USD value of the estimated supply in c...</td>\n",
       "      <td>Network Data</td>\n",
       "      <td>Market</td>\n",
       "      <td>Market Capitalization</td>\n",
       "      <td>USD</td>\n",
       "      <td>decimal</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          metric                                      full_name  \\\n",
       "0  CapMrktEstUSD  Capitalization, market, estimated supply, USD   \n",
       "\n",
       "                                         description       product category  \\\n",
       "0  The sum USD value of the estimated supply in c...  Network Data   Market   \n",
       "\n",
       "             subcategory unit data_type     type  \n",
       "0  Market Capitalization  USD   decimal  Product  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reference_capmrktest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "36164358-f0dc-43ef-b685-d0d878f6a5eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "list_capmrktest_assets = [a['asset'] for a in client.catalog_asset_metrics_v2(metrics='CapMrktEstUSD')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "1298cce8-371b-408e-9826-1f8cf2556d3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "capmrktest = client.get_asset_metrics(\n",
    "    assets=list_capmrktest_assets,\n",
    "    metrics='CapMrktEstUSD',\n",
    "    start_time=start_time,\n",
    "    end_time=end_time,\n",
    "    page_size=10000\n",
    ").to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "f152bea8-5464-4607-868a-53c952ba079e",
   "metadata": {},
   "outputs": [],
   "source": [
    "capmrktest_pivot = capmrktest.pivot(index='time',columns='asset',values='CapMrktEstUSD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "0491dee7-f932-45f9-a760-1b143ca75bd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "capmrktest_pivot['Total Cap'] = capmrktest_pivot.sum(axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "2982c912-d7b3-42f7-b565-89b029128aac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimated Market Cap based on estimated supply (3rd-party sources): $2,084,782,376,216.38\n"
     ]
    }
   ],
   "source": [
    "est_market_cap_last = capmrktest_pivot['Total Cap'][-1]\n",
    "\n",
    "formatted_est_market_cap = '${:,.2f}'.format(est_market_cap_last)\n",
    "\n",
    "print('Estimated Market Cap based on estimated supply (3rd-party sources): ' + formatted_est_market_cap)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c5cea50a-a60b-4453-b897-b04ca452c3cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "\n",
    "capmrktest_pivot['Total Cap'].plot(kind='area', stacked=True, color='green')\n",
    "plt.title('Total Crypto Market Cap \\n(CapMrktEstUSD)\\n',fontsize=16)\n",
    "plt.xlabel('') \n",
    "plt.ylabel('Market Cap (USD)',fontsize=14)\n",
    "plt.grid(True, alpha=0.3, linestyle='--')\n",
    "\n",
    "formatter = mticker.FuncFormatter(lambda x, pos: '${:,.2f}T'.format(x/1000000000000))\n",
    "plt.gca().yaxis.set_major_formatter(formatter)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b0ecfb2-8954-4230-b54e-9a658b94ee2d",
   "metadata": {},
   "source": [
    "# Free Float Market Cap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d0f04a1-214c-4c61-8d18-0de3890ecb2b",
   "metadata": {},
   "source": [
    "While traditional market capitalization metrics rely on circulating supply to quantify the aggregate value of an asset, circulating supply may not necessarily be the appropriate metric for measuring the liquid, readily-available count of units available on the markert.\n",
    "\n",
    "Free Float Market Capitalization, or **CapMrktFFUSD**, is a measure of the market value of an asset’s supply that is issued and available to market participants. This excludes supply that is held by insiders (i.e. protocol treasuries), controlling investors, and long term strategic holders (units with 5+ years of inactivity)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "f380d1ea-2c50-4914-a2aa-e82f2ccd4c51",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_reference_capmrktffusd = client.reference_data_asset_metrics(metrics='CapMrktFFUSD').to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "164eb79b-699c-4adc-baa8-49648610c873",
   "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>metric</th>\n",
       "      <th>full_name</th>\n",
       "      <th>description</th>\n",
       "      <th>product</th>\n",
       "      <th>category</th>\n",
       "      <th>subcategory</th>\n",
       "      <th>unit</th>\n",
       "      <th>data_type</th>\n",
       "      <th>type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CapMrktFFUSD</td>\n",
       "      <td>Capitalization, market, free float, USD</td>\n",
       "      <td>The sum USD value of the current free float su...</td>\n",
       "      <td>Network Data</td>\n",
       "      <td>Market</td>\n",
       "      <td>Market Capitalization</td>\n",
       "      <td>USD</td>\n",
       "      <td>decimal</td>\n",
       "      <td>Product</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         metric                                full_name  \\\n",
       "0  CapMrktFFUSD  Capitalization, market, free float, USD   \n",
       "\n",
       "                                         description       product category  \\\n",
       "0  The sum USD value of the current free float su...  Network Data   Market   \n",
       "\n",
       "             subcategory unit data_type     type  \n",
       "0  Market Capitalization  USD   decimal  Product  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_reference_capmrktffusd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "e931a589-be35-4d78-af69-4db620df9886",
   "metadata": {},
   "outputs": [],
   "source": [
    "catalog_ff = client.catalog_asset_metrics_v2(metrics='CapMrktFFUSD').to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "bb416702-3cb0-4605-8518-c7cee94e36cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[{'asset': '1inch',\n",
       "  'metrics': [{'metric': 'CapMrktFFUSD',\n",
       "    'frequencies': [{'frequency': '1d',\n",
       "      'min_time': '2020-12-26T00:00:00.000000000Z',\n",
       "      'max_time': '2024-09-15T00:00:00.000000000Z',\n",
       "      'community': True}]}]},\n",
       " {'asset': 'aave',\n",
       "  'metrics': [{'metric': 'CapMrktFFUSD',\n",
       "    'frequencies': [{'frequency': '1d',\n",
       "      'min_time': '2020-10-10T00:00:00.000000000Z',\n",
       "      'max_time': '2024-09-15T00:00:00.000000000Z',\n",
       "      'community': True}]}]},\n",
       " {'asset': 'ada',\n",
       "  'metrics': [{'metric': 'CapMrktFFUSD',\n",
       "    'frequencies': [{'frequency': '1d',\n",
       "      'min_time': '2017-12-01T00:00:00.000000000Z',\n",
       "      'max_time': '2024-09-08T00:00:00.000000000Z',\n",
       "      'community': True}]}]},\n",
       " {'asset': 'aion_eth',\n",
       "  'metrics': [{'metric': 'CapMrktFFUSD',\n",
       "    'frequencies': [{'frequency': '1d',\n",
       "      'min_time': '2017-12-22T00:00:00.000000000Z',\n",
       "      'max_time': '2023-03-03T00:00:00.000000000Z',\n",
       "      'community': True}]}]},\n",
       " {'asset': 'algo',\n",
       "  'metrics': [{'metric': 'CapMrktFFUSD',\n",
       "    'frequencies': [{'frequency': '1d',\n",
       "      'min_time': '2019-06-22T00:00:00.000000000Z',\n",
       "      'max_time': '2024-09-15T00:00:00.000000000Z',\n",
       "      'community': True}]}]}]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "catalog_ff[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f684528-79c8-46ad-b37b-7fcebee52784",
   "metadata": {},
   "source": [
    "### Comparing BTC market capitalization with BTC free float market capitalization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "acffb77a-e075-4057-87e6-9183513cdbc4",
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_ff_and_cur = client.get_asset_metrics(\n",
    "    assets='btc',\n",
    "    metrics=['CapMrktFFUSD','CapMrktCurUSD'],\n",
    "    start_time=start_time,\n",
    "    end_time=end_time\n",
    ").to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "021a37a2-7ceb-454b-92aa-85c6aea11748",
   "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>asset</th>\n",
       "      <th>time</th>\n",
       "      <th>CapMrktCurUSD</th>\n",
       "      <th>CapMrktFFUSD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-06-18 00:00:00+00:00</td>\n",
       "      <td>1283620750458.029053</td>\n",
       "      <td>892930547450.634399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-06-19 00:00:00+00:00</td>\n",
       "      <td>1279047103315.121094</td>\n",
       "      <td>889718923157.247559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-06-20 00:00:00+00:00</td>\n",
       "      <td>1279448394407.814453</td>\n",
       "      <td>889934057173.784424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-06-21 00:00:00+00:00</td>\n",
       "      <td>1263474830674.393311</td>\n",
       "      <td>878772804275.674194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-06-22 00:00:00+00:00</td>\n",
       "      <td>1266898089628.073975</td>\n",
       "      <td>881035407234.292114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-09-11 00:00:00+00:00</td>\n",
       "      <td>1133986205007.474609</td>\n",
       "      <td>785339554938.315308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-09-12 00:00:00+00:00</td>\n",
       "      <td>1148145814023.138916</td>\n",
       "      <td>795139187847.963867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-09-13 00:00:00+00:00</td>\n",
       "      <td>1195818457804.406494</td>\n",
       "      <td>828180803304.224121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-09-14 00:00:00+00:00</td>\n",
       "      <td>1185380845498.997314</td>\n",
       "      <td>820893975766.963257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>btc</td>\n",
       "      <td>2024-09-15 00:00:00+00:00</td>\n",
       "      <td>1168079552742.053711</td>\n",
       "      <td>808927520410.375</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>90 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   asset                      time         CapMrktCurUSD         CapMrktFFUSD\n",
       "0    btc 2024-06-18 00:00:00+00:00  1283620750458.029053  892930547450.634399\n",
       "1    btc 2024-06-19 00:00:00+00:00  1279047103315.121094  889718923157.247559\n",
       "2    btc 2024-06-20 00:00:00+00:00  1279448394407.814453  889934057173.784424\n",
       "3    btc 2024-06-21 00:00:00+00:00  1263474830674.393311  878772804275.674194\n",
       "4    btc 2024-06-22 00:00:00+00:00  1266898089628.073975  881035407234.292114\n",
       "..   ...                       ...                   ...                  ...\n",
       "85   btc 2024-09-11 00:00:00+00:00  1133986205007.474609  785339554938.315308\n",
       "86   btc 2024-09-12 00:00:00+00:00  1148145814023.138916  795139187847.963867\n",
       "87   btc 2024-09-13 00:00:00+00:00  1195818457804.406494  828180803304.224121\n",
       "88   btc 2024-09-14 00:00:00+00:00  1185380845498.997314  820893975766.963257\n",
       "89   btc 2024-09-15 00:00:00+00:00  1168079552742.053711     808927520410.375\n",
       "\n",
       "[90 rows x 4 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "btc_ff_and_cur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "4048e06d-779a-4727-b85d-d07c0d053de2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 6))\n",
    "\n",
    "plt.plot(btc_ff_and_cur['time'], btc_ff_and_cur['CapMrktCurUSD'] / 1e9, label='Market Cap', color='blue')\n",
    "plt.plot(btc_ff_and_cur['time'], btc_ff_and_cur['CapMrktFFUSD'] / 1e9, label='Free Float Market Cap', color='green')\n",
    "\n",
    "plt.title('Bitcoin Market Cap Over Time\\n(Circulating vs. Free Float Supply)\\n', fontsize=16)\n",
    "plt.xlabel('')\n",
    "plt.ylabel('Market Cap (USD)', fontsize=14)\n",
    "plt.grid(True, alpha=0.3, linestyle='--')\n",
    "\n",
    "formatter = mticker.FuncFormatter(lambda x, pos: '${:,.0f}B'.format(x))\n",
    "plt.gca().yaxis.set_major_formatter(formatter)\n",
    "plt.gca().xaxis.set_major_locator(mdates.AutoDateLocator())\n",
    "plt.gca().xaxis.set_major_formatter(mdates.ConciseDateFormatter(mdates.AutoDateLocator()))\n",
    "\n",
    "plt.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8df703c3-b11b-4432-a7e8-08b184497ca2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
