From 9d56aba3ecee73352b03889d0b52104ef0043cd6 Mon Sep 17 00:00:00 2001 From: mattmcd Date: Sun, 10 May 2020 16:07:21 +0100 Subject: [PATCH] Investigate Uniswap pool trade events --- uniswap_pools.ipynb | 183 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 183 insertions(+) create mode 100644 uniswap_pools.ipynb diff --git a/uniswap_pools.ipynb b/uniswap_pools.ipynb new file mode 100644 index 0000000..2cc991b --- /dev/null +++ b/uniswap_pools.ipynb @@ -0,0 +1,183 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from itertools import chain\n", + "from functools import partial\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from infmon.io import (get_contract_abi, get_event_interface, \n", + " get_current_block, get_contract_events)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "uniswap_pools = {\n", + " 'ETH-DAI': '0x2a1530c4c41db0b0b2bb646cb5eb1a67b7158667',\n", + " 'ETH-USDC': '0x97dec872013f6b5fb443861090ad931542878126',\n", + " 'ETH-RPL': '0x3fb2f18065926ddb33e7571475c509541d15da0e',\n", + " 'ETH-BAT': '0x2e642b8d59b45a1d8c5aef716a84ff44ea665914'\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [], + "source": [ + "token_pair = 'ETH-RPL'\n", + "token_address = uniswap_pools[token_pair]\n", + "token_abi = get_contract_abi(token_address)\n", + "token_interface = get_event_interface(token_abi)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "trade_buy= get_contract_events(\n", + " token_address,\n", + " from_block=get_current_block() - 50000,\n", + " topics=[token_interface['TokenPurchase']['topic']])\n", + "\n", + "trade_sell= get_contract_events(\n", + " token_address,\n", + " from_block=get_current_block() - 50000,\n", + " topics=[token_interface['EthPurchase']['topic']])" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [], + "source": [ + "def create_trade_dataframe(token_pair, trade_buy, trade_sell):\n", + " # Buy token for ETH\n", + " token_buys = [token_interface['TokenPurchase']['decode'](t) for t in trade_buy]\n", + " df_b = pd.DataFrame(token_buys\n", + " ).rename(\n", + " columns={'tokens_bought': 'tokens', 'eth_sold': 'eth'}\n", + " ).assign(\n", + " ETHTOK=lambda x: (x['tokens'] / x['eth']).astype(float),\n", + " side='BUY', \n", + " tok=token_pair.replace('ETH-', '')\n", + " )\n", + " df_b['block_number'] = [int(t['blockNumber'], 16) for t in trade_buy]\n", + " df_b['tokens'] = df_b['tokens'].astype(float) / 10**18\n", + " df_b['eth'] = df_b['eth'].astype(float) / 10**18\n", + "\n", + " # Sell token for ETH\n", + " token_sells = [token_interface['EthPurchase']['decode'](t) for t in trade_sell]\n", + " df_s = pd.DataFrame(\n", + " token_sells\n", + " ).rename(\n", + " columns={'tokens_sold': 'tokens', 'eth_bought': 'eth'}\n", + " ).assign(\n", + " ETHTOK=lambda x: (x['tokens'] / x['eth']).astype(float),\n", + " side='SEL',\n", + " tok=token_pair.replace('ETH-', '')\n", + " )\n", + " df_s['block_number'] = [int(t['blockNumber'], 16) for t in trade_sell]\n", + " df_s['tokens'] = df_s['tokens'].astype(float) / 10**18\n", + " df_s['eth'] = df_s['eth'].astype(float) / 10**18\n", + "\n", + " # Aggregate trades in each block by side \n", + " df = pd.pivot_table(\n", + " pd.concat([df_b, df_s], axis=0, sort=False), \n", + " index=['block_number','side', 'tok'], \n", + " values=['eth', 'tokens', 'ETHTOK'], \n", + " aggfunc={\n", + " 'eth': 'sum', 'tokens': 'sum', # Could use to calculate VWAP ETHTOK\n", + " 'ETHTOK': 'mean' # This is mean ETHTOK over number of trades \n", + " }\n", + " ).reset_index()\n", + " return df" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [], + "source": [ + "df = create_trade_dataframe(token_pair, trade_buy=trade_buy, trade_sell=trade_sell)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "f = plt.figure(figsize=(10,8))\n", + "ax = f.gca()\n", + "_ = df.pivot_table(\n", + " index='block_number', columns='side', values='ETHTOK'\n", + ").plot(y=['BUY', 'SEL'], linestyle='none', marker='.', ax=ax, alpha=0.5)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}