Handle None values returned from find_best_price_with_size() to prevent arithmetic operations on NoneType. Added null checks for: - Mid price calculation - Token2 price transformations (1-x operations) - Bid/ask sum calculations 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
Poly-Maker
A market making bot for Polymarket prediction markets. This bot automates the process of providing liquidity to markets on Polymarket by maintaining orders on both sides of the book with configurable parameters. A summary of my experience running this bot is available here
Overview
Poly-Maker is a comprehensive solution for automated market making on Polymarket. It includes:
- Real-time order book monitoring via WebSockets
- Position management with risk controls
- Customizable trade parameters fetched from Google Sheets
- Automated position merging functionality
- Sophisticated spread and price management
Structure
The repository consists of several interconnected modules:
poly_data: Core data management and market making logicpoly_merger: Utility for merging positions (based on open-source Polymarket code)poly_stats: Account statistics trackingpoly_utils: Shared utility functionsdata_updater: Separate module for collecting market information
Requirements
- Python 3.9 with latest setuptools
- Node.js (for poly_merger)
- Google Sheets API credentials
- Polymarket account and API credentials
Installation
- Clone the repository:
git clone https://github.com/yourusername/poly-maker.git
cd poly-maker
- Install Python dependencies:
pip install -r requirements.txt
- Install Node.js dependencies for the merger:
cd poly_merger
npm install
cd ..
- Set up environment variables:
cp .env.example .env
- Configure your credentials in
.env:
PK: Your private key for PolymarketBROWSER_ADDRESS: Your wallet address
Make sure your wallet has done at least one trade thru the UI so that the permissions are proper.
-
Set up Google Sheets integration:
- Create a Google Service Account and download credentials to the main directory
- Copy the sample Google Sheet
- Add your Google service account to the sheet with edit permissions
- Update
SPREADSHEET_URLin your.envfile
-
Update market data:
- Run
python update_markets.pyto fetch all available markets - This should run continuously in the background (preferably on a different IP than your trading bot)
- Add markets you want to trade to the "Selected Markets" sheet. You'd wanna select markets from the "Volatility Markets" sheet.
- Configure corresponding parameters in the "Hyperparameters" sheet. Default parameters that worked well in November are there.
- Run
-
Start the market making bot:
python main.py
Configuration
The bot is configured via a Google Spreadsheet with several worksheets:
- Selected Markets: Markets you want to trade
- All Markets: Database of all markets on Polymarket
- Hyperparameters: Configuration parameters for the trading logic
Usage
Data Collection
Before running the main bot, you need to gather market data:
cd data_updater
python find_markets.py
This will populate your Google Sheet with available markets.
Running the Bot
Start the market maker:
python main.py
The bot will:
- Connect to Polymarket API
- Subscribe to market data via WebSockets
- Place and manage orders according to your configuration
- Monitor and merge positions when beneficial
Notes on poly_merger
The poly_merger module is a particularly powerful utility that handles position merging on Polymarket. It's built on open-source Polymarket code and provides a smooth way to consolidate positions, reducing gas fees and improving capital efficiency.
Important Notes
- This code interacts with real markets and can potentially lose real money
- Test thoroughly with small amounts before deploying with significant capital
- The
data_updateris technically a separate repository but is included here for convenience - The
find_markets.pyscript in the data_updater is essential for the bot to get market information
License
MIT