**Polymarket Trading Bots: My Recent Open-Source Projects for Automated Prediction Market Trading**

Polymarket Trading Bots: My Recent Open-Source Projects for Automated Prediction Market Trading

Exploring real-time automation, copy trading, and market-making on Polymarket — now with 319 stars on GitHub

As someone deeply immersed in prediction markets and DeFi automation, I've spent the past months building tools to make trading on Polymarket more efficient, programmable, and — when used carefully — potentially profitable.

Today, I'm thrilled to share my most comprehensive open-source project yet: a full suite of Polymarket trading bots written primarily in Python. The repo — Gabagool2-2/polymarket-trading-bot-python — has already garnered 319 stars and 237 forks (as of March 2025), with active community interest and recent updates (last commit just yesterday!).

Whether you're a quant developer, a Polymarket power user, or someone curious about bridging crypto prediction markets with algorithmic trading, this project offers production-grade starting points.

Why Polymarket? And Why Build These Bots?

Polymarket has become one of the most exciting platforms in crypto: real-money prediction markets on everything from crypto prices to elections, with high liquidity in short-term crypto up/down markets (especially the fast 5-minute epochs for BTC, ETH, SOL, XRP).

But manual trading is slow and error-prone. High-frequency opportunities vanish in seconds, top traders' moves are worth copying, and there's always arbitrage-like spread in YES/NO pairs.

I wanted tools that:

Run real-time with WebSocket feeds
Handle gasless execution on Polygon L2 via Builder relayer
Include risk controls, dry-run modes, and full automation
Cover directional, copy, and neutral strategies

The result is three modular bots in one repo.

1. Endcycle Sniper Bot — High-Speed 5-Minute Market Trading

This is the flagship: a real-time sniper for Polymarket's 5-minute crypto up/down markets.

Core Idea
Monitor orderbook + spot prices → generate UP/DOWN signals → execute (or simulate) trades near epoch end → auto-redeem winners gaslessly.

Two Main Strategies:

Buy-Above (Momentum): Enter when YES price spikes above a threshold (e.g., >0.95), betting momentum continues.
Buy-Opposite (Mean-Reversion): When one side hits extreme (e.g., >0.98), buy the opposite — capitalizing on overreactions.

Tech Highlights:

Polymarket Gamma API for market discovery
CLOB WebSocket for live orderbook
Coinbase/Binance spot feeds for reference prices
YAML config + env overrides (e.g., POLYBOT5M_DRY_RUN=true)
Risk: stop-loss, position caps, hedging options
Auto-redeem via Builder relayer

Beginner workflow is included: clone → venv → pip install → dry-run pipeline → add keys → go live with tiny sizes.

Try the Telegram trial bot for a quick feel: https://t.me/benjamin_polymarket_trading_bot

2. Copy Trading Bot — Mirror Top Traders Automatically

Want to follow proven Polymarket traders without watching 24/7?

This bot does exactly that:

Monitor selected wallets via Polymarket API (polls activity, positions)
Store pending trades in MongoDB
Executor copies buys/sells/merges to your wallet(s)
Flexible sizing: percentage of their order or fixed USD
Multi-wallet support
Preview/dry-run mode + PnL dashboard (npm run check-copy-pnl)

It's fully local — your keys, no custody.

Architecture separates monitor and executor so you can scale independently.

Great for learning from top performers while keeping control.

3. Ladder Trading Bot — Neutral Market-Making & Spread Capture

My favorite low-risk strategy: provide liquidity by selling YES + NO pairs when their combined price > $1 (e.g., 1.03–1.10).

No directional bet — you split USDC into YES/NO, sell both at premium, redeem winner.

Workflow:

Split USDC → YES + NO tokens
Sell pairs sequentially (limit orders above best bid + spread)
Monitor resolution
Auto-redeem

Configurable: portfolio allocation, min pair sum, spread offset, timeouts.

Perfect complement to directional plays — consistent edge from liquidity inefficiencies.

[Insert video embed here: e.g., "Polymarket-ladder-trading-bot-video.mp4"]

Technical Stack & Getting Started

Languages: Python core (CLI, engines, execution), some TypeScript/Node for copy bot
Key Integrations: Polymarket Gamma API, CLOB WebSocket, Builder relayer (gasless), spot price oracles
Safety First: Dry-run everywhere, risk limits, small-size testing mandatory

Setup (quick version):

git clone https://github.com/Gabagool2-2/polymarket-trading-bot-python.git
cd polymarket-trading-bot-python
python -m venv .venv
source .venv/bin/activate
pip install -e .
# Add .env with keys
# Then: polybot5m run --dry-run   or   python scripts/run_5m_core.py --dry-run

Full README has detailed configs, step-by-step scripts, and warnings.

Important Disclaimer
These are powerful tools, but trading prediction markets carries significant risk. Start in dry-run/paper mode only. No strategy guarantees profits — slippage, resolution risks, market changes, and bugs can lead to losses. Use small amounts, understand the code, and never risk what you can't afford to lose. Past performance ≠ future results.

What's Next? Community & Contributions

The repo is actively maintained — I just updated the README yesterday. I'm open to:

Pull requests (new signals, integrations, bug fixes)
Feature requests (e.g., more assets, advanced ML signals)
Collaborations

Feel free to star/fork the repo — it helps visibility!
https://github.com/Gabagool2-2/polymarket-trading-bot-python

Reach out anytime for a live demo, customization help, or just to chat prediction markets.

📧 benjamin.bigdev@gmail.com
Telegram: @BenjaminCup
X: @benjaminccup

Happy (and safe) trading! 🚀

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