rmbell09-lang

rmbell09-lang / tradesight

Public

Self-hosted AI trading strategy lab — paper trading, overnight strategy tournaments, 15+ technical indicators

rmbell09-lang.github.iotradesight ai algorithmic-trading alpaca alpaca-api backtesting
25
2
89% credibility
Found Mar 30, 2026 at 29 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

TradeSight is a local app that runs AI tournaments to evolve and backtest trading strategies overnight, simulates paper trades, and displays results on a web dashboard.

How It Works

1
🔍 Discover TradeSight

You find TradeSight on GitHub, a free tool that helps hobbyists build and improve trading ideas right on your own computer.

2
📥 Download and Start

Download the files and double-click the starter to launch your personal trading lab—no complicated setup needed.

3
Connect Paper Trading?
✅
Connect Account

Add your free practice account details so it can track pretend trades.

⏭️
Demo Mode

Jump straight in with built-in examples to see how it works.

4
🖥️ Open Your Dashboard

Your web dashboard appears in your browser, showing markets, strategies, and live updates.

5
🤖 AI Evolves Strategies Overnight

Set it to run while you sleep—the AI tests and improves trading ideas automatically, retiring the weak ones.

6
📊 Review Winners and Trades

Wake up to see the top strategies, pretend trade results, and new opportunities spotted.

🎉 Smarter Trading Ideas

You now have better trading strategies tested safely, ready to explore without risking real money.

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Star Growth

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AI-Generated Review

What is tradesight?

TradeSight is a self-hosted AI trading platform built in Python that lets you run paper trading simulations, backtest strategies with 15+ technical indicators like RSI and MACD, and host overnight AI tournaments to evolve the best performers—all from a local Flask web dashboard at localhost:5000. It solves the pain of cloud-based trading tools by keeping everything on your machine with no subscriptions, data leaks, or fees, using Alpaca for optional paper trades and cron jobs for automation. Quick start: clone, pip install, run one Python command for demo mode without API keys.

Why is it gaining traction?

Unlike cloud trading bots that charge monthly and expose strategies, TradeSight runs fully self-hosted as an AI trading bot with zero vendor lock-in, auto-evolving strategies overnight via tournaments and delivering real-time P&L tracking in your browser. Developers dig the privacy focus, seamless Alpaca paper integration, and battle-tested setup with 169/169 passing tests. The hook: wake up to improved strategies without writing code.

Who should use this?

Algo trading hobbyists testing ideas risk-free via paper trading. Python devs dipping into quant finance who want a self-hosted trading journal and backtester. Privacy-focused traders avoiding SaaS platforms like TradingView alternatives.

Verdict

Solid early pick for self-hosted trading bots (25 stars, 0.90% credibility score) with excellent test coverage and clear docs—install and experiment today, but expect to tweak for production as it's pre-1.0. Worth starring if you're building autonomous agents.

(198 words)

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