aulekator

aulekator / Polymarket-BTC-15-Minute-Trading-Bot

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A production-grade algorithmic trading bot for Polymarket's 15-minute BTC price prediction markets. Built with a 7-phase architecture combining multiple signal sources, professional risk management, and self-learning capabilities.

bot btc polymarket-arbitrage-trading-bot python trading
50
19
69% credibility
Found Feb 20, 2026 at 16 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A ready-to-run bot that automates trades on Bitcoin price prediction markets using smart signals, strict $1 limits per trade, simulation testing, and live dashboards.

How It Works

1
🔍 Discover the smart trader

You find a helpful tool that automatically trades Bitcoin predictions on a popular market site.

2
📥 Get it ready

Download the files and prepare the basic everyday tools it needs, like a simple database helper.

3
🔗 Link your account

Safely connect your prediction market account so it can see prices and place trades.

4
🧪 Practice first

Start with pretend money to watch it make smart trades every 15 minutes without any risk.

5
📈 Watch the magic

Check the colorful dashboard to see signals, trades, wins, and growing pretend profits.

6
Ready for real?
🔄
More practice

Run more test trades to build confidence.

💰
Go live small

Start with $1 trades to see real results.

🚀 Smart trading on autopilot

Your helper now spots opportunities, trades wisely with built-in safety nets, and grows your account while you relax.

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Star Growth

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AI-Generated Review

What is Polymarket-BTC-15-Minute-Trading-Bot?

This Python bot automates trades on Polymarket's 15-minute BTC price prediction markets, pulling signals from price spikes, sentiment shifts, and spot divergences across exchanges like Coinbase and Binance. It fuses them via a 7-phase algorithmic architecture with built-in risk management—capping trades at $1, enforcing 30% stops and 20% profits—then executes via Polymarket API. Users get live/sim modes toggleable via Redis CLI without restarts, plus Grafana dashboards for real-time monitoring.

Why is it gaining traction?

Unlike basic scripts, it offers production-grade reliability with auto-recovery, self-optimizing signal weights, and paper trading for safe backtests showing ~75% win rates. The hook is dead-simple setup (pip install, env vars, python run_bot.py), dual-mode switching (redis_control.py sim/live), and NautilusTrader integration for pro-level execution—perfect for devs eyeing agentic AI trading without rebuilding from scratch.

Who should use this?

Quant devs experimenting with prediction markets, crypto traders automating BTC bets on Polymarket, or algo enthusiasts testing multi-signal fusion on 15-minute windows. Ideal for those with basic Python/Redis setup wanting to prototype low-risk ($10-20 start) live trading after sim validation.

Verdict

Solid starter for Polymarket automation—clone, test in sim mode, and iterate—but low stars (15) and 0.699999988079071% credibility score signal early-stage maturity; expect tweaks for production. Great docs and tests make it fork-worthy now.

(198 words)

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