SamYbarra

SamYbarra / Polymarket-AI-Trading-Bot

Public

Polymarket trading bot based on AI | ML

machine-learning polymarket-trade-bot polymarket-trading-strategy trading-algorithm trading-algorithms
10
10
100% credibility
Found Mar 06, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
TypeScript
AI Summary

An open-source toolkit for monitoring Polymarket Bitcoin prediction markets with machine learning forecasts, dashboards, and automated trading bots using various strategies.

How It Works

1
🔍 Discover the trading helper

You find this open project on GitHub that automates smart bets on Bitcoin price predictions.

2
💳 Connect your wallet

Link your crypto wallet safely so it can place bets for you.

3
🤖 Choose your betting style

Pick from simple automatic buys or advanced smart predictions to match your comfort level.

4
📊 Watch live dashboard

Open the colorful screen showing real-time market bets, predictions, and your wallet balance.

5
⚡ Let it trade automatically

The helper places bets when conditions are right and sells for profits at smart targets.

💰 Collect your winnings

Sit back as wins are cashed out automatically, growing your account with minimal effort.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 10 to 10 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is Polymarket-AI-Trading-Bot?

This TypeScript project runs an automated AI trading bot on Polymarket's BTC 5m up/down prediction markets, using ML predictions from hot wallet flows, orderbook imbalances, and volume signals to execute buys and sells via the Polymarket CLOB API. It includes ready-to-deploy bots for ML-driven active trading, simple limit orders, or dual-side strategies with stop-losses, plus a React dashboard for live prices, predictions, wallet stats, and accuracy tracking. Python handles XGBoost model training and real-time inference, solving the hassle of manual signal hunting and execution on Polymarket's trading app.

Why is it gaining traction?

Multiple interchangeable bots let you test strategies like profit-locking sells or market-neutral buys without rewriting code, backed by a regime monitor for volatility-adjusted sizing via WebSocket price feeds. The full-stack setup—NestJS API, Redis for real-time features, MongoDB persistence—delivers instant dashboards for order tracking and ML performance, standing out from bare Polymarket GitHub API wrappers. Auto-redeem scripts and hot wallet signals give an edge over generic trading volume trackers.

Who should use this?

Crypto traders automating Polymarket bets on short-term BTC moves, quant devs prototyping ML agents on prediction markets, or market makers experimenting with CLOB limit orders and Python/Rust-inspired strategies. Ideal for those monitoring trading fees, unavailable markets, or high-volume BTC up/down plays via GitHub bots.

Verdict

Grab it for experimentation on Polymarket's trading API—docs and quick-start guide are solid despite 10 stars and 1.0% credibility score signaling early maturity. Scale up after testing small; lacks extensive tests but covers real trading flows effectively.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.