Polymarket Trading Bot: Automated Polymarket Trading Strategies for Crypto Prediction Markets
In February 2026, Polymarket continues to be one of the most active crypto prediction markets, running on the Polygon blockchain network.
Thousands of traders use Polymarket trading to speculate on:
- Crypto price movements
- Political outcomes
- Global events
- Sports results
However, manual Polymarket trading is slow. Opportunities in prediction markets can appear and disappear in seconds.
To solve this, I built a high-performance Polymarket trading bot designed to automatically monitor markets, detect profitable opportunities, and execute trades in real time.
The project is fully open source and designed for crypto traders, developers, and quantitative strategy builders.
Polymarket Trading Bot (Open Source)
I created a Polymarket trading bot in Python that automates prediction market strategies using real-time market data.
The bot continuously scans up to Polymarket crypto markets simultaneously and executes trades based on configurable trading strategies.
The project is open source under the MIT license.
GitHub Repository
https://github.com/Gabagool2-2/polymarket-trading-bot-python
If the project helps you, a star ⭐ or fork greatly helps the project grow.
Why Use a Polymarket Trading Bot?
Automated Polymarket trading bots give traders a significant advantage over manual trading.
Key benefits include:
1. Real-Time Market Monitoring
The bot tracks 1,500+ prediction markets through WebSocket streams and detects opportunities instantly.
2. Faster Trade Execution
Automated execution allows trades to occur in milliseconds — critical for crypto trading strategies where pricing inefficiencies disappear quickly.
3. Strategy Automation
Instead of manually analyzing markets, the bot executes algorithmic Polymarket trading strategies automatically.
4. Arbitrage Opportunities
The bot identifies price mismatches between YES and NO tokens in Polymarket markets.
5. Data-Driven Trading
All decisions are based on quantitative trading logic, not emotion.
Polymarket Trading Bot Architecture
This Polymarket bot is built for low-latency crypto trading automation.
Async Architecture
The system uses:
- Python asyncio
- aiohttp
- Polymarket's py-clob-client
This allows fast concurrent execution across hundreds of markets.
WebSocket Data Feeds
The bot runs 6 parallel WebSocket connections to Polymarket data streams.
This enables:
- Sub-second market updates
- Real-time order book monitoring
- Instant trade signals
Gasless Trading
Polymarket uses a relayer system, allowing trades without direct gas payments after token approval.
Modular Strategy System
Trading strategies are separated into modules, allowing developers to easily add:
- Arbitrage strategies
- Momentum trading strategies
- Market-making strategies
- Custom crypto strategies
Integrated Dashboard
The bot includes a built-in web dashboard displaying:
- Active trades
- Positions
- Profit & loss
- Strategy performance
Key Features of the Polymarket Trading Bot
Automated Arbitrage Detection
The bot detects when:
YES price + NO price < $1
Example:
YES = $0.48
NO = $0.49
Total = $0.97
Buying both sides results in guaranteed $1 payout after market resolution.
This creates a risk-free arbitrage opportunity.
Hybrid Momentum Trading Strategy
The bot also implements a momentum + mean-reversion strategy.
Example workflow:
- Detect undervalued side (YES or NO)
- Execute aggressive buy orders
- Push price toward fair value
- Capture profit when retail traders react
This strategy works well in high-liquidity Polymarket crypto markets.
Market Filters
The bot only trades markets that meet specific criteria:
- Minimum liquidity: $10,000+
- Minimum profit threshold
- Valid resolution timeframe
This reduces exposure to low-volume markets.
Built-In Safety Features
The bot includes safeguards to prevent unwanted trades.
Safety systems include:
- 10-second order timeout
- Automatic cancellation of stale orders
- Dry-run simulation mode
- Position limits
Real-Time Notifications
The bot sends Slack notifications for:
- Trade execution
- Order fills
- Strategy triggers
How to Run the Polymarket Trading Bot
Setup takes about 10 minutes.
Requirements
- Python 3.10+
- Polygon RPC (Alchemy / Infura)
- USDC on Polygon
Install the Bot
# Clone repository
git clone https://github.com/Gabagool2-2/polymarket-trading-bot-python
cd polymarket-trading-bot
# Install dependencies
pip install -e .
Configure Environment
cp .env.example .env
Add:
- PRIVATE_KEY
- WALLET_ADDRESS
- POLYGON_RPC_URL
Optional:
- SOCKS5 proxy
- Slack webhook
- Dashboard authentication
Generate Polymarket API Credentials
from py_clob_client.client import ClobClient
import os
client = ClobClient(
host="https://clob.polymarket.com",
key=os.getenv("PRIVATE_KEY"),
chain_id=137
)
creds = client.create_or_derive_api_creds()
print(creds)
Add these credentials to .env.
Approve USDC Spending
python scripts/approve_usdc.py
This requires a small Polygon gas fee.
Run the Bot in Test Mode
rarb run --dry-run --realtime
No real trades will be executed.
Run the Bot Live
rarb run --live --realtime --dashboard
Dashboard:
http://localhost:8080
Example Polymarket Trading Strategies
Strategy 1 — Pure Arbitrage
YES = 0.48
NO = 0.49
Total cost = 0.97
Final payout = 1.00
Profit ≈ 3% ROI
Strategy 2 — Momentum Trading
Example:
YES price = 0.60
NO price = 0.40
Strategy:
- Buy undervalued side
- Trigger momentum
- Sell when price overshoots
This works well when retail traders follow price movements.
Risks of Polymarket Trading
Prediction markets can be profitable but also risky.
Important considerations:
- Markets may move quickly
- Liquidity can disappear
- Some regions restrict access to Polymarket
Always test with dry-run mode first.
Future Development Roadmap
Planned improvements include:
- Built-in backtesting engine
- Event-driven strategies
- Telegram alerts
- Discord notifications
- Multi-wallet support
Try the Polymarket Trading Bot
You can also test a Telegram demo version of the bot.
Telegram Bot
https://t.me/benjamincup_polymarket_bot
Video Demo
https://www.youtube.com/watch?v=4cklMPZs0y8
Contributing
Contributions are welcome.
Submit ideas, pull requests, or issues on GitHub.
https://github.com/Gabagool2-2/polymarket-trading-bot-python
Continuous Updates & Development
This Polymarket trading bot is actively maintained and continuously updated to adapt to new Polymarket trading opportunities, crypto market conditions, and strategy improvements.
New features, optimizations, and trading strategy enhancements are released regularly to improve performance, stability, and profitability.
If you're interested in:
Polymarket trading automation
crypto trading strategies
prediction market bots
or contributing to the project
feel free to stay in touch.
If you'd like to see the system in action, I can arrange a live Google Meeting demonstration to showcase the bot running in real time and explain how the trading strategies operate.
I'm always happy to connect with developers, traders, and researchers working in the Polymarket and crypto ecosystem.
Contact
Email
benjamin.bigdev@gmail.com
Telegram
https://t.me/BenjaminCup
If you're building in:
- Polymarket trading
- Crypto automation
- Prediction market strategies
- Algorithmic trading bots
this project can be a strong foundation.
Happy trading and coding in 2026 🚀📊
Top comments (16)
Very impressive work!
Are you planning to add backtesting for Polymarket trading strategies in future updates? That could make this one of the most complete Polymarket trading bot frameworks available.
Thanks for your interesting, you can check and refer my new posts for the polymarket trading Strategy. Please give me good feedback.
Really interesting project. Automated Polymarket trading bots are becoming essential because manual trading simply can’t compete with real-time opportunity detection.
Especially, i am very glad to test with telegram bot . i am happy and confident about that test result with profit.
Plz keep in touch.
And I wish you continued success with the development of the project.
Thank you for your kind words! I’m glad to hear you had a positive experience testing the Telegram bot and that it was profitable.
Please feel free to check out my latest posts on Polymarket trading strategies, and I’d really appreciate any feedback you have.
Looking forward to keeping in touch and sharing more updates as the project develops.
This is a great analysis of the system. Using an asynchronous architecture to run multiple WebSocket connections is a robust approach for low-latency monitoring across multiple markets. It would also be interesting to incorporate order book depth or liquidity filters to further refine arbitrage detection and prevent slippage in illiquid markets. I always appreciate your feedback and experience with Polymarket. Thank you for sharing.
Thanks again.I hope you give me good feedback like this.
Hello thank you for your publish
I am going to ask a question
If this is profitable really, you can share video that shows proof of work.
that will be big
I hope to see that video.
If you don't mind, i hope to discuss in telegram.
My Telegram id is @BenjaminCup.
Let's connect.
This trading bot is complete, live, and profitable.
I’d love thoughtful feedback from other builders—on architecture, strategy assumptions, or edge sustainability. Happy to exchange notes and learn from different perspectives.
Love seeing more open-source tools around Polymarket trading. The architecture and strategy modularity make this a great starting point for quant developers.
This is one of the most well-structured Polymarket trading bot implementations I’ve seen so far. The async architecture, WebSocket market scanning, and automated arbitrage detection make it very powerful for real-time Polymarket trading strategies.
Open-source tools like this can really help developers experiment with prediction market automation and build new quantitative trading strategies. Great work!
First, you entrust your private keys to an obscure developer, and then you wonder where all my money is.?? The developer of Benjamin-cup has a completely different address on github and there is no bot aka gabagool in his repository)))) All you will get is a drainer who will take all your money. Remember once and for all - free cheese is only in a mousetrap.
This is just for education purpose. you can get some code structure and template for the development bot.
The profitable bot version is private.
Thanks for your looking around.
This is awesome. Prediction markets are still under-explored in algorithmic trading, and tools like this make it much easier for developers to experiment. Thanks for open-sourcing it.
Thanks! The bot is still evolving and I'm continuously improving the strategies and execution layer. Happy to hear feedback from other developers.
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