{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c1edbfac-6157-4d49-a573-8d784df55a9d",
   "metadata": {},
   "source": [
    "<img src=\"https://5264302.fs1.hubspotusercontent-na1.net/hubfs/5264302/Demo%20Asset%20Resources/Demo%20Covers/CM-Demo-pool_tvl-Cover.png\" width=1100 margin-left='auto' margin-right='auto'/>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6aa5d60c-0609-4eea-830e-582ffaa9cb31",
   "metadata": {},
   "source": [
    "Automated Market Makers (AMMs) are an innovative new class of smart contracts introduced in decentralized exchange protocols like Uniswap, allowing users to permissionlessly provision liquidity for digital asset trading activity without needing a traditional central order book. However, an important aspect of providing users of these pools is understanding how the total USD value of the assets allocated to the contract can fluctuate over time, leading to impermanent loss for liquidity providers. In this notebook, we explore how Coin Metrics DEX market metadata can be combined with Reference Rates and ATLAS search engine capabilities to construct a timeseries representation pool TVL, allowing market participants to make more informed decisions about DEX market making and trading.\n",
    "\n",
    "## Resources\n",
    "This notebook demonstrates basic functionality offered by the Coin Metrics Python API Client, ATLAS blockchain search engine, and DEX Market Data.\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.\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "06f11e93-8756-4fc3-807d-51cf05ae27b0",
   "metadata": {},
   "source": [
    "## Notebook Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "12778469-daeb-431d-b305-2bfb93937474",
   "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 plotly.graph_objs as go\n",
    "import logging\n",
    "from pytz import timezone as timezone_conv\n",
    "from datetime import timezone as timezone_info\n",
    "from dateutil.relativedelta import relativedelta\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "95f2e9ab-fdd6-44f4-87e3-55a620f76d7a",
   "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": 30,
   "id": "0e1ba4ea-4583-4807-bdfe-b6fd1b9ac8e9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-09 14:36:29 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",
    "client = CoinMetricsClient(api_key)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14b8e7c7-f0f9-4c57-8814-ab1897b91bfa",
   "metadata": {},
   "source": [
    "# DEX Market Reference Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9dd0d8df-dd37-4acb-9972-7b48b909c3b9",
   "metadata": {},
   "source": [
    "The *reference-data/markets* endpoint returns a list of available markets meeting specified criteria. Users can pass in a list of markets, exchanges, or market types (spot, futures, options). For DEX markets, the endpoint also returns key liquidity pool metadata, such as fee tier and pool contract address. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9f7e1c13-ab3d-43a3-8085-bbcf0fe0f858",
   "metadata": {},
   "outputs": [],
   "source": [
    "uni_v3_markets = client.reference_data_markets(\n",
    "    exchange = 'uniswap_v3_eth'\n",
    ").to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "f32a5a18-3ddf-4e81-912e-07e3328bb47d",
   "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>exchange</th>\n",
       "      <th>base</th>\n",
       "      <th>quote</th>\n",
       "      <th>pair</th>\n",
       "      <th>symbol</th>\n",
       "      <th>type</th>\n",
       "      <th>size_asset</th>\n",
       "      <th>margin_asset</th>\n",
       "      <th>strike</th>\n",
       "      <th>...</th>\n",
       "      <th>order_price_increment</th>\n",
       "      <th>order_price_min</th>\n",
       "      <th>order_price_max</th>\n",
       "      <th>order_size_min</th>\n",
       "      <th>order_taker_fee</th>\n",
       "      <th>order_maker_fee</th>\n",
       "      <th>margin_trading_enabled</th>\n",
       "      <th>experimental</th>\n",
       "      <th>base_native</th>\n",
       "      <th>quote_native</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>uniswap_v3_eth-1-1inch-dai-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>1inch</td>\n",
       "      <td>dai</td>\n",
       "      <td>1inch-dai</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>uniswap_v3_eth-1-1inch-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>1inch</td>\n",
       "      <td>usdc</td>\n",
       "      <td>1inch-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>uniswap_v3_eth-1-1inch-weth-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>1inch</td>\n",
       "      <td>weth</td>\n",
       "      <td>1inch-weth</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>uniswap_v3_eth-1-ageur_eth-eurcv_eth-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>ageur_eth</td>\n",
       "      <td>eurcv_eth</td>\n",
       "      <td>ageur_eth-eurcv_eth</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>uniswap_v3_eth-1-ageur_eth-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>ageur_eth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>ageur_eth-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</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>1638</th>\n",
       "      <td>uniswap_v3_eth-agg-yfi-cvx-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>yfi</td>\n",
       "      <td>cvx</td>\n",
       "      <td>yfi-cvx</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1639</th>\n",
       "      <td>uniswap_v3_eth-agg-yfi-link-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>yfi</td>\n",
       "      <td>link</td>\n",
       "      <td>yfi-link</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1640</th>\n",
       "      <td>uniswap_v3_eth-agg-yfi-usdc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>yfi</td>\n",
       "      <td>usdc</td>\n",
       "      <td>yfi-usdc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1641</th>\n",
       "      <td>uniswap_v3_eth-agg-yfi-wbtc-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>yfi</td>\n",
       "      <td>wbtc</td>\n",
       "      <td>yfi-wbtc</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1642</th>\n",
       "      <td>uniswap_v3_eth-agg-yfi-weth-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>yfi</td>\n",
       "      <td>weth</td>\n",
       "      <td>yfi-weth</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1643 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         market        exchange       base  \\\n",
       "0               uniswap_v3_eth-1-1inch-dai-spot  uniswap_v3_eth      1inch   \n",
       "1              uniswap_v3_eth-1-1inch-usdc-spot  uniswap_v3_eth      1inch   \n",
       "2              uniswap_v3_eth-1-1inch-weth-spot  uniswap_v3_eth      1inch   \n",
       "3     uniswap_v3_eth-1-ageur_eth-eurcv_eth-spot  uniswap_v3_eth  ageur_eth   \n",
       "4          uniswap_v3_eth-1-ageur_eth-usdc-spot  uniswap_v3_eth  ageur_eth   \n",
       "...                                         ...             ...        ...   \n",
       "1638            uniswap_v3_eth-agg-yfi-cvx-spot  uniswap_v3_eth        yfi   \n",
       "1639           uniswap_v3_eth-agg-yfi-link-spot  uniswap_v3_eth        yfi   \n",
       "1640           uniswap_v3_eth-agg-yfi-usdc-spot  uniswap_v3_eth        yfi   \n",
       "1641           uniswap_v3_eth-agg-yfi-wbtc-spot  uniswap_v3_eth        yfi   \n",
       "1642           uniswap_v3_eth-agg-yfi-weth-spot  uniswap_v3_eth        yfi   \n",
       "\n",
       "          quote                 pair  symbol  type  size_asset  margin_asset  \\\n",
       "0           dai            1inch-dai    <NA>  spot        <NA>          <NA>   \n",
       "1          usdc           1inch-usdc    <NA>  spot        <NA>          <NA>   \n",
       "2          weth           1inch-weth    <NA>  spot        <NA>          <NA>   \n",
       "3     eurcv_eth  ageur_eth-eurcv_eth    <NA>  spot        <NA>          <NA>   \n",
       "4          usdc       ageur_eth-usdc    <NA>  spot        <NA>          <NA>   \n",
       "...         ...                  ...     ...   ...         ...           ...   \n",
       "1638        cvx              yfi-cvx    <NA>  spot        <NA>          <NA>   \n",
       "1639       link             yfi-link    <NA>  spot        <NA>          <NA>   \n",
       "1640       usdc             yfi-usdc    <NA>  spot        <NA>          <NA>   \n",
       "1641       wbtc             yfi-wbtc    <NA>  spot        <NA>          <NA>   \n",
       "1642       weth             yfi-weth    <NA>  spot        <NA>          <NA>   \n",
       "\n",
       "      strike  ...  order_price_increment  order_price_min  order_price_max  \\\n",
       "0       <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "1       <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "2       <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "3       <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "4       <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "...      ...  ...                    ...              ...              ...   \n",
       "1638    <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "1639    <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "1640    <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "1641    <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "1642    <NA>  ...                   <NA>             <NA>             <NA>   \n",
       "\n",
       "      order_size_min  order_taker_fee  order_maker_fee  \\\n",
       "0               <NA>             <NA>             <NA>   \n",
       "1               <NA>             <NA>             <NA>   \n",
       "2               <NA>             <NA>             <NA>   \n",
       "3               <NA>             <NA>             <NA>   \n",
       "4               <NA>             <NA>             <NA>   \n",
       "...              ...              ...              ...   \n",
       "1638            <NA>             <NA>             <NA>   \n",
       "1639            <NA>             <NA>             <NA>   \n",
       "1640            <NA>             <NA>             <NA>   \n",
       "1641            <NA>             <NA>             <NA>   \n",
       "1642            <NA>             <NA>             <NA>   \n",
       "\n",
       "      margin_trading_enabled  experimental  base_native quote_native  \n",
       "0                       <NA>          True         <NA>         <NA>  \n",
       "1                       <NA>          True         <NA>         <NA>  \n",
       "2                       <NA>          True         <NA>         <NA>  \n",
       "3                       <NA>          True         <NA>         <NA>  \n",
       "4                       <NA>          True         <NA>         <NA>  \n",
       "...                      ...           ...          ...          ...  \n",
       "1638                    <NA>          True         <NA>         <NA>  \n",
       "1639                    <NA>          True         <NA>         <NA>  \n",
       "1640                    <NA>          True         <NA>         <NA>  \n",
       "1641                    <NA>          True         <NA>         <NA>  \n",
       "1642                    <NA>          True         <NA>         <NA>  \n",
       "\n",
       "[1643 rows x 39 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uni_v3_markets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a01f9c00-e9c2-47b9-8866-5703d7b12c6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "weth_usdc_markets = uni_v3_markets.loc[(uni_v3_markets['base']=='usdc') & (uni_v3_markets['quote']=='weth')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "aabf4187-bddb-49a8-9f26-65869e4a558a",
   "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>exchange</th>\n",
       "      <th>base</th>\n",
       "      <th>quote</th>\n",
       "      <th>pair</th>\n",
       "      <th>symbol</th>\n",
       "      <th>type</th>\n",
       "      <th>size_asset</th>\n",
       "      <th>margin_asset</th>\n",
       "      <th>strike</th>\n",
       "      <th>...</th>\n",
       "      <th>order_price_increment</th>\n",
       "      <th>order_price_min</th>\n",
       "      <th>order_price_max</th>\n",
       "      <th>order_size_min</th>\n",
       "      <th>order_taker_fee</th>\n",
       "      <th>order_maker_fee</th>\n",
       "      <th>margin_trading_enabled</th>\n",
       "      <th>experimental</th>\n",
       "      <th>base_native</th>\n",
       "      <th>quote_native</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>weth</td>\n",
       "      <td>usdc-weth</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>weth</td>\n",
       "      <td>usdc-weth</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>uniswap_v3_eth-3-usdc-weth-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>weth</td>\n",
       "      <td>usdc-weth</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1045</th>\n",
       "      <td>uniswap_v3_eth-4-usdc-weth-spot</td>\n",
       "      <td>uniswap_v3_eth</td>\n",
       "      <td>usdc</td>\n",
       "      <td>weth</td>\n",
       "      <td>usdc-weth</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>spot</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>...</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>True</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "      <td>&lt;NA&gt;</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                               market        exchange  base quote       pair  \\\n",
       "72    uniswap_v3_eth-1-usdc-weth-spot  uniswap_v3_eth  usdc  weth  usdc-weth   \n",
       "281   uniswap_v3_eth-2-usdc-weth-spot  uniswap_v3_eth  usdc  weth  usdc-weth   \n",
       "650   uniswap_v3_eth-3-usdc-weth-spot  uniswap_v3_eth  usdc  weth  usdc-weth   \n",
       "1045  uniswap_v3_eth-4-usdc-weth-spot  uniswap_v3_eth  usdc  weth  usdc-weth   \n",
       "\n",
       "      symbol  type  size_asset  margin_asset  strike  ...  \\\n",
       "72      <NA>  spot        <NA>          <NA>    <NA>  ...   \n",
       "281     <NA>  spot        <NA>          <NA>    <NA>  ...   \n",
       "650     <NA>  spot        <NA>          <NA>    <NA>  ...   \n",
       "1045    <NA>  spot        <NA>          <NA>    <NA>  ...   \n",
       "\n",
       "      order_price_increment  order_price_min  order_price_max  order_size_min  \\\n",
       "72                     <NA>             <NA>             <NA>            <NA>   \n",
       "281                    <NA>             <NA>             <NA>            <NA>   \n",
       "650                    <NA>             <NA>             <NA>            <NA>   \n",
       "1045                   <NA>             <NA>             <NA>            <NA>   \n",
       "\n",
       "      order_taker_fee  order_maker_fee  margin_trading_enabled  experimental  \\\n",
       "72               <NA>             <NA>                    <NA>          True   \n",
       "281              <NA>             <NA>                    <NA>          True   \n",
       "650              <NA>             <NA>                    <NA>          True   \n",
       "1045             <NA>             <NA>                    <NA>          True   \n",
       "\n",
       "      base_native quote_native  \n",
       "72           <NA>         <NA>  \n",
       "281          <NA>         <NA>  \n",
       "650          <NA>         <NA>  \n",
       "1045         <NA>         <NA>  \n",
       "\n",
       "[4 rows x 39 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weth_usdc_pools = weth_usdc_markets.dropna(subset=['contract_address'])\n",
    "weth_usdc_pools"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bc921e9-ce2d-40ac-aee1-15e549f724c2",
   "metadata": {},
   "source": [
    "## Fetch contract balances over time with ATLAS\n",
    "Now that we have a list of target liquidity pool contracts, we can use ATLAS blockchain search engine to query for balance updates in the pool for each asset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c7c0db6d-649f-421a-a1d0-3c6e2974fb3d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exporting to dataframe type: 100%|█████████████████████████████████████████████████████████████| 31/31 [00:28<00:00,  1.09it/s]\n",
      "Exporting to dataframe type: 100%|█████████████████████████████████████████████████████████████| 31/31 [00:41<00:00,  1.34s/it]\n"
     ]
    }
   ],
   "source": [
    "assets = ['usdc','weth']\n",
    "pools = weth_usdc_pools['contract_address'].to_list()\n",
    "pools_tvl = pd.DataFrame()\n",
    "start = datetime.now() - timedelta(days=30)\n",
    "\n",
    "for asset in assets:\n",
    "    tvl = client.get_list_of_balance_updates_v2(\n",
    "        asset=asset,\n",
    "        accounts=pools,\n",
    "        start_time = start\n",
    "    ).parallel(max_workers=10,time_increment=relativedelta(days=1)).to_dataframe()\n",
    "    \n",
    "    # Add the asset name to a new 'asset' column\n",
    "    tvl['asset'] = asset\n",
    "    pools_tvl = pd.concat([pools_tvl, tvl], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7af2976f-7745-4bd6-a1a1-6ae545d8ba37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "contract_address\n",
       "e0554a476a092703abdb3ef35c80e0d76d32939f    uniswap_v3_eth-1-usdc-weth-spot\n",
       "88e6a0c2ddd26feeb64f039a2c41296fcb3f5640    uniswap_v3_eth-2-usdc-weth-spot\n",
       "8ad599c3a0ff1de082011efddc58f1908eb6e6d8    uniswap_v3_eth-3-usdc-weth-spot\n",
       "7bea39867e4169dbe237d55c8242a8f2fcdcc387    uniswap_v3_eth-4-usdc-weth-spot\n",
       "Name: market, dtype: string"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a mapping from contract_address to market\n",
    "contract_to_market = weth_usdc_pools.set_index('contract_address')['market']\n",
    "contract_to_market"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "225d13d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "pools_tvl['market'] = pools_tvl['account'].map(contract_to_market)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2d97229a",
   "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>chain_sequence_number</th>\n",
       "      <th>account</th>\n",
       "      <th>account_creation_height</th>\n",
       "      <th>change</th>\n",
       "      <th>previous_balance</th>\n",
       "      <th>new_balance</th>\n",
       "      <th>transaction_sequence_number</th>\n",
       "      <th>n_debits</th>\n",
       "      <th>n_credits</th>\n",
       "      <th>block_hash</th>\n",
       "      <th>...</th>\n",
       "      <th>consensus_time</th>\n",
       "      <th>credit</th>\n",
       "      <th>total_received</th>\n",
       "      <th>total_sent</th>\n",
       "      <th>previous_debit_height</th>\n",
       "      <th>previous_credit_height</th>\n",
       "      <th>previous_chain_sequence_number</th>\n",
       "      <th>txid</th>\n",
       "      <th>asset</th>\n",
       "      <th>market</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>88964646899286016</td>\n",
       "      <td>88e6a0c2ddd26feeb64f039a2c41296fcb3f5640</td>\n",
       "      <td>12376729</td>\n",
       "      <td>-60426.466497</td>\n",
       "      <td>72674047.982769</td>\n",
       "      <td>72613621.516272</td>\n",
       "      <td>0</td>\n",
       "      <td>4019999</td>\n",
       "      <td>3619510</td>\n",
       "      <td>96131a3e3702feb38e1ce25c71773962cdf6ed8beb5ee2...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-09-09 14:37:23+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>738732040663.426392</td>\n",
       "      <td>738659427041.910034</td>\n",
       "      <td>20713695</td>\n",
       "      <td>20713694</td>\n",
       "      <td>88964642604318722</td>\n",
       "      <td>a8f5e44bb9ae9f93a3d1b11b5fce58fe2bcad8ba73561f...</td>\n",
       "      <td>usdc</td>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>88964646899286022</td>\n",
       "      <td>88e6a0c2ddd26feeb64f039a2c41296fcb3f5640</td>\n",
       "      <td>12376729</td>\n",
       "      <td>-551.745218</td>\n",
       "      <td>72613621.516272</td>\n",
       "      <td>72613069.771054</td>\n",
       "      <td>0</td>\n",
       "      <td>4020000</td>\n",
       "      <td>3619510</td>\n",
       "      <td>96131a3e3702feb38e1ce25c71773962cdf6ed8beb5ee2...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-09-09 14:37:23+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>738732040663.426392</td>\n",
       "      <td>738659427593.655396</td>\n",
       "      <td>20713696</td>\n",
       "      <td>20713694</td>\n",
       "      <td>88964646899286016</td>\n",
       "      <td>3072cd48442d1e61b7232590812737dabdd52d60ed2181...</td>\n",
       "      <td>usdc</td>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>88964651194253318</td>\n",
       "      <td>88e6a0c2ddd26feeb64f039a2c41296fcb3f5640</td>\n",
       "      <td>12376729</td>\n",
       "      <td>-1189.382003</td>\n",
       "      <td>72613069.771054</td>\n",
       "      <td>72611880.389051</td>\n",
       "      <td>0</td>\n",
       "      <td>4020001</td>\n",
       "      <td>3619510</td>\n",
       "      <td>d1b93582ac0242d6c4d78a2e15fa7a14cb8f23cdd315a7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-09-09 14:37:35+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>738732040663.426392</td>\n",
       "      <td>738659428783.037231</td>\n",
       "      <td>20713696</td>\n",
       "      <td>20713694</td>\n",
       "      <td>88964646899286022</td>\n",
       "      <td>785845bb01a0c4c95a4fce1a5b684b607eff59db5e35a0...</td>\n",
       "      <td>usdc</td>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>88964651194253320</td>\n",
       "      <td>e0554a476a092703abdb3ef35c80e0d76d32939f</td>\n",
       "      <td>13616454</td>\n",
       "      <td>-1185.605465</td>\n",
       "      <td>601863.20449</td>\n",
       "      <td>600677.599025</td>\n",
       "      <td>1</td>\n",
       "      <td>231967</td>\n",
       "      <td>225267</td>\n",
       "      <td>d1b93582ac0242d6c4d78a2e15fa7a14cb8f23cdd315a7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-09-09 14:37:35+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>5991391248.046802</td>\n",
       "      <td>5990790570.447777</td>\n",
       "      <td>20713695</td>\n",
       "      <td>20713695</td>\n",
       "      <td>88964642604318733</td>\n",
       "      <td>785845bb01a0c4c95a4fce1a5b684b607eff59db5e35a0...</td>\n",
       "      <td>usdc</td>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>88964651194253338</td>\n",
       "      <td>88e6a0c2ddd26feeb64f039a2c41296fcb3f5640</td>\n",
       "      <td>12376729</td>\n",
       "      <td>-1178.099514</td>\n",
       "      <td>72611880.389051</td>\n",
       "      <td>72610702.289537</td>\n",
       "      <td>0</td>\n",
       "      <td>4020002</td>\n",
       "      <td>3619510</td>\n",
       "      <td>d1b93582ac0242d6c4d78a2e15fa7a14cb8f23cdd315a7...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-09-09 14:37:35+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>738732040663.426392</td>\n",
       "      <td>738659429961.136841</td>\n",
       "      <td>20713697</td>\n",
       "      <td>20713694</td>\n",
       "      <td>88964651194253318</td>\n",
       "      <td>e8c9bf688ee4d41f22d95f34936a425edb4f61244318b7...</td>\n",
       "      <td>usdc</td>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</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>273787</th>\n",
       "      <td>89893038440054825</td>\n",
       "      <td>e0554a476a092703abdb3ef35c80e0d76d32939f</td>\n",
       "      <td>13616454</td>\n",
       "      <td>11.45984</td>\n",
       "      <td>2397.232798</td>\n",
       "      <td>2408.692638</td>\n",
       "      <td>1</td>\n",
       "      <td>292522</td>\n",
       "      <td>301912</td>\n",
       "      <td>de4360d0ae6f824e4ca7525da2268497de62906fec744c...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-10-09 18:33:11+00:00</td>\n",
       "      <td>True</td>\n",
       "      <td>4128265.590843</td>\n",
       "      <td>4125856.898204</td>\n",
       "      <td>20929853</td>\n",
       "      <td>20929850</td>\n",
       "      <td>89893034145087672</td>\n",
       "      <td>aefc38b1fa84766bb2e50b8565d7e6b23031d98a28ccd8...</td>\n",
       "      <td>weth</td>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273788</th>\n",
       "      <td>89893038440054892</td>\n",
       "      <td>e0554a476a092703abdb3ef35c80e0d76d32939f</td>\n",
       "      <td>13616454</td>\n",
       "      <td>-0.015523</td>\n",
       "      <td>2408.692638</td>\n",
       "      <td>2408.677115</td>\n",
       "      <td>0</td>\n",
       "      <td>292523</td>\n",
       "      <td>301912</td>\n",
       "      <td>de4360d0ae6f824e4ca7525da2268497de62906fec744c...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-10-09 18:33:11+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>4128265.590843</td>\n",
       "      <td>4125856.913727</td>\n",
       "      <td>20929853</td>\n",
       "      <td>20929854</td>\n",
       "      <td>89893038440054825</td>\n",
       "      <td>9b83a0daab76cd6db6aedbafc5f1e61adc0f5d31e72e47...</td>\n",
       "      <td>weth</td>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273789</th>\n",
       "      <td>89893038440054968</td>\n",
       "      <td>88e6a0c2ddd26feeb64f039a2c41296fcb3f5640</td>\n",
       "      <td>12376729</td>\n",
       "      <td>-2.123209</td>\n",
       "      <td>27357.193086</td>\n",
       "      <td>27355.069877</td>\n",
       "      <td>0</td>\n",
       "      <td>3685872</td>\n",
       "      <td>4078043</td>\n",
       "      <td>de4360d0ae6f824e4ca7525da2268497de62906fec744c...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-10-09 18:33:11+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>378530260.402821</td>\n",
       "      <td>378502905.332944</td>\n",
       "      <td>20929852</td>\n",
       "      <td>20929854</td>\n",
       "      <td>89893038440054823</td>\n",
       "      <td>e79fe9981166fccb9fb15b872da4ee5f8ea4f581a86e0d...</td>\n",
       "      <td>weth</td>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273790</th>\n",
       "      <td>89893051324956808</td>\n",
       "      <td>88e6a0c2ddd26feeb64f039a2c41296fcb3f5640</td>\n",
       "      <td>12376729</td>\n",
       "      <td>-0.119392</td>\n",
       "      <td>27355.069877</td>\n",
       "      <td>27354.950485</td>\n",
       "      <td>0</td>\n",
       "      <td>3685873</td>\n",
       "      <td>4078043</td>\n",
       "      <td>2823efc897ab6e43f4382e7670f1cfa4aa621571e79d9d...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-10-09 18:33:47+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>378530260.402821</td>\n",
       "      <td>378502905.452336</td>\n",
       "      <td>20929854</td>\n",
       "      <td>20929854</td>\n",
       "      <td>89893038440054968</td>\n",
       "      <td>a46cab246dea451a42d4b26c79994c5fc06ce1a10a53a7...</td>\n",
       "      <td>weth</td>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273791</th>\n",
       "      <td>89893051324956894</td>\n",
       "      <td>88e6a0c2ddd26feeb64f039a2c41296fcb3f5640</td>\n",
       "      <td>12376729</td>\n",
       "      <td>-0.825174</td>\n",
       "      <td>27354.950485</td>\n",
       "      <td>27354.125311</td>\n",
       "      <td>0</td>\n",
       "      <td>3685874</td>\n",
       "      <td>4078043</td>\n",
       "      <td>2823efc897ab6e43f4382e7670f1cfa4aa621571e79d9d...</td>\n",
       "      <td>...</td>\n",
       "      <td>2024-10-09 18:33:47+00:00</td>\n",
       "      <td>False</td>\n",
       "      <td>378530260.402821</td>\n",
       "      <td>378502906.27751</td>\n",
       "      <td>20929857</td>\n",
       "      <td>20929854</td>\n",
       "      <td>89893051324956808</td>\n",
       "      <td>3004b50008190b1b36f5cdf602b63b9f9792267d89f2fe...</td>\n",
       "      <td>weth</td>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>547648 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        chain_sequence_number                                   account  \\\n",
       "0           88964646899286016  88e6a0c2ddd26feeb64f039a2c41296fcb3f5640   \n",
       "1           88964646899286022  88e6a0c2ddd26feeb64f039a2c41296fcb3f5640   \n",
       "2           88964651194253318  88e6a0c2ddd26feeb64f039a2c41296fcb3f5640   \n",
       "3           88964651194253320  e0554a476a092703abdb3ef35c80e0d76d32939f   \n",
       "4           88964651194253338  88e6a0c2ddd26feeb64f039a2c41296fcb3f5640   \n",
       "...                       ...                                       ...   \n",
       "273787      89893038440054825  e0554a476a092703abdb3ef35c80e0d76d32939f   \n",
       "273788      89893038440054892  e0554a476a092703abdb3ef35c80e0d76d32939f   \n",
       "273789      89893038440054968  88e6a0c2ddd26feeb64f039a2c41296fcb3f5640   \n",
       "273790      89893051324956808  88e6a0c2ddd26feeb64f039a2c41296fcb3f5640   \n",
       "273791      89893051324956894  88e6a0c2ddd26feeb64f039a2c41296fcb3f5640   \n",
       "\n",
       "        account_creation_height        change  previous_balance  \\\n",
       "0                      12376729 -60426.466497   72674047.982769   \n",
       "1                      12376729   -551.745218   72613621.516272   \n",
       "2                      12376729  -1189.382003   72613069.771054   \n",
       "3                      13616454  -1185.605465      601863.20449   \n",
       "4                      12376729  -1178.099514   72611880.389051   \n",
       "...                         ...           ...               ...   \n",
       "273787                 13616454      11.45984       2397.232798   \n",
       "273788                 13616454     -0.015523       2408.692638   \n",
       "273789                 12376729     -2.123209      27357.193086   \n",
       "273790                 12376729     -0.119392      27355.069877   \n",
       "273791                 12376729     -0.825174      27354.950485   \n",
       "\n",
       "            new_balance  transaction_sequence_number  n_debits  n_credits  \\\n",
       "0       72613621.516272                            0   4019999    3619510   \n",
       "1       72613069.771054                            0   4020000    3619510   \n",
       "2       72611880.389051                            0   4020001    3619510   \n",
       "3         600677.599025                            1    231967     225267   \n",
       "4       72610702.289537                            0   4020002    3619510   \n",
       "...                 ...                          ...       ...        ...   \n",
       "273787      2408.692638                            1    292522     301912   \n",
       "273788      2408.677115                            0    292523     301912   \n",
       "273789     27355.069877                            0   3685872    4078043   \n",
       "273790     27354.950485                            0   3685873    4078043   \n",
       "273791     27354.125311                            0   3685874    4078043   \n",
       "\n",
       "                                               block_hash  ...  \\\n",
       "0       96131a3e3702feb38e1ce25c71773962cdf6ed8beb5ee2...  ...   \n",
       "1       96131a3e3702feb38e1ce25c71773962cdf6ed8beb5ee2...  ...   \n",
       "2       d1b93582ac0242d6c4d78a2e15fa7a14cb8f23cdd315a7...  ...   \n",
       "3       d1b93582ac0242d6c4d78a2e15fa7a14cb8f23cdd315a7...  ...   \n",
       "4       d1b93582ac0242d6c4d78a2e15fa7a14cb8f23cdd315a7...  ...   \n",
       "...                                                   ...  ...   \n",
       "273787  de4360d0ae6f824e4ca7525da2268497de62906fec744c...  ...   \n",
       "273788  de4360d0ae6f824e4ca7525da2268497de62906fec744c...  ...   \n",
       "273789  de4360d0ae6f824e4ca7525da2268497de62906fec744c...  ...   \n",
       "273790  2823efc897ab6e43f4382e7670f1cfa4aa621571e79d9d...  ...   \n",
       "273791  2823efc897ab6e43f4382e7670f1cfa4aa621571e79d9d...  ...   \n",
       "\n",
       "                  consensus_time credit       total_received  \\\n",
       "0      2024-09-09 14:37:23+00:00  False  738732040663.426392   \n",
       "1      2024-09-09 14:37:23+00:00  False  738732040663.426392   \n",
       "2      2024-09-09 14:37:35+00:00  False  738732040663.426392   \n",
       "3      2024-09-09 14:37:35+00:00  False    5991391248.046802   \n",
       "4      2024-09-09 14:37:35+00:00  False  738732040663.426392   \n",
       "...                          ...    ...                  ...   \n",
       "273787 2024-10-09 18:33:11+00:00   True       4128265.590843   \n",
       "273788 2024-10-09 18:33:11+00:00  False       4128265.590843   \n",
       "273789 2024-10-09 18:33:11+00:00  False     378530260.402821   \n",
       "273790 2024-10-09 18:33:47+00:00  False     378530260.402821   \n",
       "273791 2024-10-09 18:33:47+00:00  False     378530260.402821   \n",
       "\n",
       "                 total_sent  previous_debit_height  previous_credit_height  \\\n",
       "0       738659427041.910034               20713695                20713694   \n",
       "1       738659427593.655396               20713696                20713694   \n",
       "2       738659428783.037231               20713696                20713694   \n",
       "3         5990790570.447777               20713695                20713695   \n",
       "4       738659429961.136841               20713697                20713694   \n",
       "...                     ...                    ...                     ...   \n",
       "273787       4125856.898204               20929853                20929850   \n",
       "273788       4125856.913727               20929853                20929854   \n",
       "273789     378502905.332944               20929852                20929854   \n",
       "273790     378502905.452336               20929854                20929854   \n",
       "273791      378502906.27751               20929857                20929854   \n",
       "\n",
       "        previous_chain_sequence_number  \\\n",
       "0                    88964642604318722   \n",
       "1                    88964646899286016   \n",
       "2                    88964646899286022   \n",
       "3                    88964642604318733   \n",
       "4                    88964651194253318   \n",
       "...                                ...   \n",
       "273787               89893034145087672   \n",
       "273788               89893038440054825   \n",
       "273789               89893038440054823   \n",
       "273790               89893038440054968   \n",
       "273791               89893051324956808   \n",
       "\n",
       "                                                     txid asset  \\\n",
       "0       a8f5e44bb9ae9f93a3d1b11b5fce58fe2bcad8ba73561f...  usdc   \n",
       "1       3072cd48442d1e61b7232590812737dabdd52d60ed2181...  usdc   \n",
       "2       785845bb01a0c4c95a4fce1a5b684b607eff59db5e35a0...  usdc   \n",
       "3       785845bb01a0c4c95a4fce1a5b684b607eff59db5e35a0...  usdc   \n",
       "4       e8c9bf688ee4d41f22d95f34936a425edb4f61244318b7...  usdc   \n",
       "...                                                   ...   ...   \n",
       "273787  aefc38b1fa84766bb2e50b8565d7e6b23031d98a28ccd8...  weth   \n",
       "273788  9b83a0daab76cd6db6aedbafc5f1e61adc0f5d31e72e47...  weth   \n",
       "273789  e79fe9981166fccb9fb15b872da4ee5f8ea4f581a86e0d...  weth   \n",
       "273790  a46cab246dea451a42d4b26c79994c5fc06ce1a10a53a7...  weth   \n",
       "273791  3004b50008190b1b36f5cdf602b63b9f9792267d89f2fe...  weth   \n",
       "\n",
       "                                 market  \n",
       "0       uniswap_v3_eth-2-usdc-weth-spot  \n",
       "1       uniswap_v3_eth-2-usdc-weth-spot  \n",
       "2       uniswap_v3_eth-2-usdc-weth-spot  \n",
       "3       uniswap_v3_eth-1-usdc-weth-spot  \n",
       "4       uniswap_v3_eth-2-usdc-weth-spot  \n",
       "...                                 ...  \n",
       "273787  uniswap_v3_eth-1-usdc-weth-spot  \n",
       "273788  uniswap_v3_eth-1-usdc-weth-spot  \n",
       "273789  uniswap_v3_eth-2-usdc-weth-spot  \n",
       "273790  uniswap_v3_eth-2-usdc-weth-spot  \n",
       "273791  uniswap_v3_eth-2-usdc-weth-spot  \n",
       "\n",
       "[547648 rows x 21 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pools_tvl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a030e3e8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sort by 'consensus_time', 'market', and 'chain_sequence_number'\n",
    "pools_tvl_sorted = pools_tvl.sort_values(by=['consensus_time', 'market', 'chain_sequence_number'], ascending=[True, True, False])\n",
    "\n",
    "# Drop duplicates, keeping only the first occurrence (in this case, the highest 'chain_sequence_number')\n",
    "pools_tvl_deduplicated = pools_tvl_sorted.drop_duplicates(subset=['consensus_time', 'market','asset'], keep='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "755491dd",
   "metadata": {
    "scrolled": true
   },
   "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>consensus_time</th>\n",
       "      <th>asset</th>\n",
       "      <th>new_balance</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "      <td>2024-09-09 14:37:23+00:00</td>\n",
       "      <td>weth</td>\n",
       "      <td>-3.126659e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "      <td>2024-09-09 14:37:23+00:00</td>\n",
       "      <td>usdc</td>\n",
       "      <td>7.261307e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "      <td>2024-09-09 14:37:35+00:00</td>\n",
       "      <td>weth</td>\n",
       "      <td>-4.664425e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "      <td>2024-09-09 14:37:35+00:00</td>\n",
       "      <td>usdc</td>\n",
       "      <td>6.006776e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "      <td>2024-09-09 14:37:35+00:00</td>\n",
       "      <td>weth</td>\n",
       "      <td>-3.126763e+04</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>273850</th>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "      <td>2024-10-09 18:36:11+00:00</td>\n",
       "      <td>usdc</td>\n",
       "      <td>8.006068e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273853</th>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "      <td>2024-10-09 18:36:23+00:00</td>\n",
       "      <td>usdc</td>\n",
       "      <td>2.503766e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273851</th>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "      <td>2024-10-09 18:36:23+00:00</td>\n",
       "      <td>usdc</td>\n",
       "      <td>8.005964e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273854</th>\n",
       "      <td>uniswap_v3_eth-2-usdc-weth-spot</td>\n",
       "      <td>2024-10-09 18:36:47+00:00</td>\n",
       "      <td>usdc</td>\n",
       "      <td>8.005916e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273855</th>\n",
       "      <td>uniswap_v3_eth-1-usdc-weth-spot</td>\n",
       "      <td>2024-10-09 18:36:59+00:00</td>\n",
       "      <td>usdc</td>\n",
       "      <td>2.493272e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>382679 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 market            consensus_time asset  \\\n",
       "1       uniswap_v3_eth-2-usdc-weth-spot 2024-09-09 14:37:23+00:00  weth   \n",
       "1       uniswap_v3_eth-2-usdc-weth-spot 2024-09-09 14:37:23+00:00  usdc   \n",
       "3       uniswap_v3_eth-1-usdc-weth-spot 2024-09-09 14:37:35+00:00  weth   \n",
       "3       uniswap_v3_eth-1-usdc-weth-spot 2024-09-09 14:37:35+00:00  usdc   \n",
       "4       uniswap_v3_eth-2-usdc-weth-spot 2024-09-09 14:37:35+00:00  weth   \n",
       "...                                 ...                       ...   ...   \n",
       "273850  uniswap_v3_eth-2-usdc-weth-spot 2024-10-09 18:36:11+00:00  usdc   \n",
       "273853  uniswap_v3_eth-1-usdc-weth-spot 2024-10-09 18:36:23+00:00  usdc   \n",
       "273851  uniswap_v3_eth-2-usdc-weth-spot 2024-10-09 18:36:23+00:00  usdc   \n",
       "273854  uniswap_v3_eth-2-usdc-weth-spot 2024-10-09 18:36:47+00:00  usdc   \n",
       "273855  uniswap_v3_eth-1-usdc-weth-spot 2024-10-09 18:36:59+00:00  usdc   \n",
       "\n",
       "         new_balance  \n",
       "1      -3.126659e+04  \n",
       "1       7.261307e+07  \n",
       "3      -4.664425e+02  \n",
       "3       6.006776e+05  \n",
       "4      -3.126763e+04  \n",
       "...              ...  \n",
       "273850  8.006068e+07  \n",
       "273853  2.503766e+06  \n",
       "273851  8.005964e+07  \n",
       "273854  8.005916e+07  \n",
       "273855  2.493272e+06  \n",
       "\n",
       "[382679 rows x 4 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pools_tvl_clean = pools_tvl_deduplicated[['market','consensus_time','asset','new_balance']].copy()\n",
    "pools_tvl_clean['new_balance'] = pools_tvl_clean.apply(\n",
    "    lambda row: -row['new_balance'] if row['asset'] == 'weth' else row['new_balance'],\n",
    "    axis=1\n",
    ")\n",
    "pools_tvl_clean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "05ec5a55-738b-4bc2-9411-0c2e0bc4227d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame(pools_tvl_clean)\n",
    "df['consensus_time'] = pd.to_datetime(df['consensus_time'])\n",
    "# Split the DataFrame by market and store in a dictionary\n",
    "market_dfs = {market: group.pivot(index='consensus_time', columns='asset', values='new_balance').ffill()\n",
    "              for market, group in df.groupby('market')}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "10c310d6-6eea-4e00-bb66-f8bbb206d80a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'uniswap_v3_eth-1-usdc-weth-spot': asset                              usdc         weth\n",
       " consensus_time                                      \n",
       " 2024-09-09 14:37:35+00:00  6.006776e+05  -466.442498\n",
       " 2024-09-09 14:37:47+00:00  5.927582e+05  -469.913266\n",
       " 2024-09-09 14:38:11+00:00  5.834235e+05  -474.007791\n",
       " 2024-09-09 14:38:23+00:00  5.852796e+05  -473.193522\n",
       " 2024-09-09 14:38:35+00:00  5.783144e+05  -476.250599\n",
       " ...                                 ...          ...\n",
       " 2024-10-09 18:35:11+00:00  2.504156e+06 -2408.677115\n",
       " 2024-10-09 18:35:35+00:00  2.507156e+06 -2408.677115\n",
       " 2024-10-09 18:36:11+00:00  2.503081e+06 -2408.677115\n",
       " 2024-10-09 18:36:23+00:00  2.503766e+06 -2408.677115\n",
       " 2024-10-09 18:36:59+00:00  2.493272e+06 -2408.677115\n",
       " \n",
       " [93275 rows x 2 columns],\n",
       " 'uniswap_v3_eth-2-usdc-weth-spot': asset                              usdc          weth\n",
       " consensus_time                                       \n",
       " 2024-09-09 14:37:23+00:00  7.261307e+07 -31266.590416\n",
       " 2024-09-09 14:37:35+00:00  7.261070e+07 -31267.627526\n",
       " 2024-09-09 14:37:47+00:00  7.244846e+07 -31338.733700\n",
       " 2024-09-09 14:37:59+00:00  7.240161e+07 -31359.275300\n",
       " 2024-09-09 14:38:11+00:00  7.227468e+07 -31414.964479\n",
       " ...                                 ...           ...\n",
       " 2024-10-09 18:34:47+00:00  7.997092e+07 -27354.125311\n",
       " 2024-10-09 18:35:35+00:00  7.998951e+07 -27354.125311\n",
       " 2024-10-09 18:36:11+00:00  8.006068e+07 -27354.125311\n",
       " 2024-10-09 18:36:23+00:00  8.005964e+07 -27354.125311\n",
       " 2024-10-09 18:36:47+00:00  8.005916e+07 -27354.125311\n",
       " \n",
       " [89932 rows x 2 columns],\n",
       " 'uniswap_v3_eth-3-usdc-weth-spot': asset                              usdc          weth\n",
       " consensus_time                                       \n",
       " 2024-09-09 14:40:11+00:00  9.802691e+06 -22517.703981\n",
       " 2024-09-09 15:06:59+00:00  9.815312e+06 -22512.198607\n",
       " 2024-09-09 15:07:11+00:00  9.836937e+06 -22502.771507\n",
       " 2024-09-09 15:13:23+00:00  9.817752e+06 -22511.184829\n",
       " 2024-09-09 15:13:47+00:00  9.797839e+06 -22519.924545\n",
       " ...                                 ...           ...\n",
       " 2024-10-09 18:15:47+00:00  1.306390e+07 -19482.217019\n",
       " 2024-10-09 18:16:59+00:00  1.293324e+07 -19536.165795\n",
       " 2024-10-09 18:17:11+00:00  1.276007e+07 -19607.732168\n",
       " 2024-10-09 18:18:23+00:00  1.255446e+07 -19692.807793\n",
       " 2024-10-09 18:23:47+00:00  1.255437e+07 -19692.792301\n",
       " \n",
       " [7850 rows x 2 columns],\n",
       " 'uniswap_v3_eth-4-usdc-weth-spot': asset                               usdc        weth\n",
       " consensus_time                                      \n",
       " 2024-09-09 15:17:35+00:00  288875.833924 -166.205531\n",
       " 2024-09-09 16:12:35+00:00  291361.212465 -165.137952\n",
       " 2024-09-09 16:56:47+00:00  293088.964462 -164.400079\n",
       " 2024-09-09 17:10:23+00:00  293188.964462 -164.357478\n",
       " 2024-09-09 19:54:35+00:00  293683.964462 -164.146777\n",
       " ...                                  ...         ...\n",
       " 2024-10-08 21:45:59+00:00  311219.129512 -157.116899\n",
       " 2024-10-08 21:56:11+00:00  311402.896623 -157.042040\n",
       " 2024-10-09 01:33:23+00:00  312960.239993 -156.409115\n",
       " 2024-10-09 01:38:11+00:00  314224.468721 -155.897241\n",
       " 2024-10-09 18:30:11+00:00  313919.457241 -156.023085\n",
       " \n",
       " [435 rows x 2 columns]}"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(market_dfs)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0699c34-6da7-449e-9517-c288cc2ee3fb",
   "metadata": {},
   "source": [
    "## Retrieve Reference Rates to calculate the equivalent USD value for TVL\n",
    "\n",
    "To normalize pool TVL into USD-denominated terms, we'll leverage the Coin Metrics Reference Rate, which represents a volume-weighted median price across a subset of the asset's most highly-liquid markets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "cbfcd94f-fcbe-4421-9bda-393b61d49076",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Exporting to dataframe type: 100%|█████████████████████████████████████████████████████████████| 62/62 [00:06<00:00,  8.93it/s]\n"
     ]
    }
   ],
   "source": [
    "ref_rate = client.get_asset_metrics(\n",
    "    assets=['usdc','weth'],\n",
    "    metrics='ReferenceRateUSD',\n",
    "    start_time=start,\n",
    "    frequency='1m'\n",
    ").parallel(max_workers=10,time_increment=relativedelta(days=1)).to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "91f6bfba-902c-4528-8c6a-5e8846595231",
   "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>asset</th>\n",
       "      <th>usdc</th>\n",
       "      <th>weth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:38:00+00:00</th>\n",
       "      <td>1.000228</td>\n",
       "      <td>2281.628477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:39:00+00:00</th>\n",
       "      <td>1.000066</td>\n",
       "      <td>2278.047686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:40:00+00:00</th>\n",
       "      <td>0.99975</td>\n",
       "      <td>2279.877181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:41:00+00:00</th>\n",
       "      <td>0.999917</td>\n",
       "      <td>2278.211943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:42:00+00:00</th>\n",
       "      <td>0.999867</td>\n",
       "      <td>2279.118291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:34:00+00:00</th>\n",
       "      <td>0.999862</td>\n",
       "      <td>2422.199211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:35:00+00:00</th>\n",
       "      <td>0.999822</td>\n",
       "      <td>2418.294121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:36:00+00:00</th>\n",
       "      <td>0.999827</td>\n",
       "      <td>2420.816853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:37:00+00:00</th>\n",
       "      <td>0.999789</td>\n",
       "      <td>2420.182517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:38:00+00:00</th>\n",
       "      <td>0.999873</td>\n",
       "      <td>2421.764058</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>43441 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "asset                          usdc         weth\n",
       "time                                            \n",
       "2024-09-09 14:38:00+00:00  1.000228  2281.628477\n",
       "2024-09-09 14:39:00+00:00  1.000066  2278.047686\n",
       "2024-09-09 14:40:00+00:00   0.99975  2279.877181\n",
       "2024-09-09 14:41:00+00:00  0.999917  2278.211943\n",
       "2024-09-09 14:42:00+00:00  0.999867  2279.118291\n",
       "...                             ...          ...\n",
       "2024-10-09 18:34:00+00:00  0.999862  2422.199211\n",
       "2024-10-09 18:35:00+00:00  0.999822  2418.294121\n",
       "2024-10-09 18:36:00+00:00  0.999827  2420.816853\n",
       "2024-10-09 18:37:00+00:00  0.999789  2420.182517\n",
       "2024-10-09 18:38:00+00:00  0.999873  2421.764058\n",
       "\n",
       "[43441 rows x 2 columns]"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ref_rate = ref_rate.pivot(index='time', columns='asset', values='ReferenceRateUSD')\n",
    "ref_rate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "7b8d870a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Iterate over each market DataFrame\n",
    "for market, df in market_dfs.items():\n",
    "    # Resample the DataFrame to 1-minute intervals\n",
    "    df_resampled = df.resample('min').last().dropna()\n",
    "\n",
    "    # Reindex the market DataFrame to the ref_rate DataFrame's index\n",
    "    aligned_df = df_resampled.reindex(ref_rate.index, method='nearest')\n",
    "\n",
    "    # Multiply the 'usdc' and 'weth' columns by the corresponding rate\n",
    "    aligned_df['usdc'] = aligned_df['usdc'] * ref_rate['usdc']\n",
    "    aligned_df['weth'] = aligned_df['weth'] * ref_rate['weth']\n",
    "\n",
    "    # Replace the original DataFrame in the dictionary with the updated one\n",
    "    market_dfs[market] = aligned_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "03f000d4",
   "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>asset</th>\n",
       "      <th>usdc</th>\n",
       "      <th>weth</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:38:00+00:00</th>\n",
       "      <td>580007.558512</td>\n",
       "      <td>-1085063.725878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:39:00+00:00</th>\n",
       "      <td>591547.333378</td>\n",
       "      <td>-1071736.155646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:40:00+00:00</th>\n",
       "      <td>591664.869298</td>\n",
       "      <td>-1072292.759274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:41:00+00:00</th>\n",
       "      <td>584444.264977</td>\n",
       "      <td>-1078824.970611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-09-09 14:42:00+00:00</th>\n",
       "      <td>604433.557236</td>\n",
       "      <td>-1059255.13815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:34:00+00:00</th>\n",
       "      <td>2480138.279715</td>\n",
       "      <td>-5834295.808101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:35:00+00:00</th>\n",
       "      <td>2506710.799699</td>\n",
       "      <td>-5824889.708489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:36:00+00:00</th>\n",
       "      <td>2492840.090089</td>\n",
       "      <td>-5830966.153299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:37:00+00:00</th>\n",
       "      <td>2492746.887517</td>\n",
       "      <td>-5829438.242635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-10-09 18:38:00+00:00</th>\n",
       "      <td>2492954.27474</td>\n",
       "      <td>-5833247.665283</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>43441 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "asset                                usdc            weth\n",
       "time                                                     \n",
       "2024-09-09 14:38:00+00:00   580007.558512 -1085063.725878\n",
       "2024-09-09 14:39:00+00:00   591547.333378 -1071736.155646\n",
       "2024-09-09 14:40:00+00:00   591664.869298 -1072292.759274\n",
       "2024-09-09 14:41:00+00:00   584444.264977 -1078824.970611\n",
       "2024-09-09 14:42:00+00:00   604433.557236  -1059255.13815\n",
       "...                                   ...             ...\n",
       "2024-10-09 18:34:00+00:00  2480138.279715 -5834295.808101\n",
       "2024-10-09 18:35:00+00:00  2506710.799699 -5824889.708489\n",
       "2024-10-09 18:36:00+00:00  2492840.090089 -5830966.153299\n",
       "2024-10-09 18:37:00+00:00  2492746.887517 -5829438.242635\n",
       "2024-10-09 18:38:00+00:00   2492954.27474 -5833247.665283\n",
       "\n",
       "[43441 rows x 2 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "first_pool_key = list(market_dfs.keys())[0]\n",
    "first_pool = market_dfs[first_pool_key]  \n",
    "first_pool"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d357f3ef-ed5f-41bc-9567-7a98119bac4a",
   "metadata": {},
   "source": [
    "## Plot USD-denominated TVL for target liquidity pools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "154a3f5c-ec04-417b-abc1-029f99f0fbc7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def generate_area_figure(df, layout, columns, diverging_colors=False):\n",
    "    traces = []\n",
    "    for series in columns:\n",
    "        traces.append(\n",
    "            go.Scatter(\n",
    "                x=df.index,\n",
    "                y=df[series],\n",
    "                name=series,\n",
    "                fill='tozeroy'  # Ensures filling to the zero line on the y-axis\n",
    "            ))\n",
    "    return go.Figure(data=traces, layout=layout)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "1a0524e2-642b-4868-8c1f-4809fc4ea4b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uniswap_v3_eth-1-usdc-weth-spot\n",
      "e0554a476a092703abdb3ef35c80e0d76d32939f\n",
      "USDC: https://atlas.coinmetrics.io/address-details?asset=usdc&address=e0554a476a092703abdb3ef35c80e0d76d32939f\n",
      "WETH: https://atlas.coinmetrics.io/address-details?asset=weth&address=e0554a476a092703abdb3ef35c80e0d76d32939f\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uniswap_v3_eth-2-usdc-weth-spot\n",
      "88e6a0c2ddd26feeb64f039a2c41296fcb3f5640\n",
      "USDC: https://atlas.coinmetrics.io/address-details?asset=usdc&address=88e6a0c2ddd26feeb64f039a2c41296fcb3f5640\n",
      "WETH: https://atlas.coinmetrics.io/address-details?asset=weth&address=88e6a0c2ddd26feeb64f039a2c41296fcb3f5640\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uniswap_v3_eth-3-usdc-weth-spot\n",
      "8ad599c3a0ff1de082011efddc58f1908eb6e6d8\n",
      "USDC: https://atlas.coinmetrics.io/address-details?asset=usdc&address=8ad599c3a0ff1de082011efddc58f1908eb6e6d8\n",
      "WETH: https://atlas.coinmetrics.io/address-details?asset=weth&address=8ad599c3a0ff1de082011efddc58f1908eb6e6d8\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "uniswap_v3_eth-4-usdc-weth-spot\n",
      "7bea39867e4169dbe237d55c8242a8f2fcdcc387\n",
      "USDC: https://atlas.coinmetrics.io/address-details?asset=usdc&address=7bea39867e4169dbe237d55c8242a8f2fcdcc387\n",
      "WETH: https://atlas.coinmetrics.io/address-details?asset=weth&address=7bea39867e4169dbe237d55c8242a8f2fcdcc387\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting for each market using Matplotlib\n",
    "market_to_contract = contract_to_market.reset_index().set_index('market')\n",
    "for market, data in market_dfs.items():\n",
    "    address = market_to_contract.loc[market, 'contract_address']\n",
    "    print(f'{market}')\n",
    "    print(f'{address}')\n",
    "    print(f'USDC: https://atlas.coinmetrics.io/address-details?asset=usdc&address={address}')\n",
    "    print(f'WETH: https://atlas.coinmetrics.io/address-details?asset=weth&address={address}')\n",
    "\n",
    "    # Create the figure and axis\n",
    "    fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "    # Plot the area chart for each series in the data\n",
    "    for column in data.columns:\n",
    "        ax.fill_between(data.index, data[column], label=column)\n",
    "\n",
    "    # Set chart title and labels\n",
    "    ax.set_title(f'{market.upper()}\\nLiquidity Pool TVL', fontsize=16, color='grey')\n",
    "    ax.set_xlabel('', color='grey')\n",
    "    ax.set_ylabel('TVL Value (USD)', color='grey')\n",
    "\n",
    "    # Set grid and background colors\n",
    "    ax.set_facecolor('#49494a')\n",
    "    ax.grid(True, color='white', linestyle='--', linewidth=0.5)\n",
    "\n",
    "    # Customize tick parameters (color and size)\n",
    "    ax.tick_params(axis='x', colors='grey', rotation=45)\n",
    "    ax.tick_params(axis='y', colors='grey')\n",
    "    ax.xaxis.set_major_locator(mdates.DayLocator(interval=4))\n",
    "    ax.set_xlim([data.index.min(), data.index.max()])\n",
    "\n",
    "    # Set legend and its appearance\n",
    "    ax.legend(loc='upper right', fontsize=10)\n",
    "\n",
    "    # Adjust the plot layout\n",
    "    plt.tight_layout()\n",
    "\n",
    "    # Show the plot\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9a065a9b-70e7-4ebe-aca9-97cefe38e60e",
   "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": "3.12.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}