🎯 TradeSight
June 23, 2026 · View on GitHub
🎯 TradeSight — Python Algorithmic Trading & Backtesting Strategy Lab
Build, test, and evolve trading strategies with AI — entirely on your own machine. No cloud subscription. No data leaks. No monthly fees.
TradeSight is a self-hosted Python app that runs AI-powered strategy tournaments overnight, backtests technical indicators, and executes paper trades via Alpaca — all from a local web dashboard.
Public proof snapshot: https://rentry.co/tradesight-public-credibility-proof-20260620
TradeSight is for research, backtesting, and paper trading. It is not financial advice, and it does not guarantee income, returns, accuracy, or live-trading performance.
🤔 Who Is This For?
- Algorithmic trading hobbyists who want to test strategies without risking real money
- Python developers exploring quantitative finance and AI-driven decision systems
- Privacy-conscious traders who don't want their strategies on someone else's server
- Makers building autonomous financial agents
✨ Features
| Feature | Description |
|---|---|
| 🧬 AI Strategy Tournaments | Automated overnight evolution of trading strategies — the best wins, rest are retired |
| 🛡️ Safer Optimizer Promotion Gates | Family-aware RSI/MACD/Momentum tuning with OOS, walk-forward, regime, Monte Carlo, and overfit checks before any parameter promotion |
| 📊 15+ Technical Indicators | MACD, RSI, Bollinger Bands, EMA crossovers, ATR, volume analysis, and more |
| 💸 Paper Trading | Connect an Alpaca paper account — trade with simulated funds and track paper-only P&L |
| 🔍 Multi-Market Scanner | Scan stocks + Polymarket prediction markets for signals simultaneously |
| 🌐 Web Dashboard | Real-time Flask interface — positions, signals, tournament results, logs |
| ⏰ Cron Automation | Overnight strategy improvement runs automatically — wake up to new results |
| 🔒 100% Local | Runs on your machine. Your strategies stay yours. |
🚀 Quick Start
Requirements
- Python 3.11+
- macOS or Linux (Windows via WSL)
- Alpaca paper trading account (free, optional — demo mode works without it)
Install
macOS (Homebrew):
brew tap rmbell09-lang/tradesight
brew install tradesight
From source:
git clone https://github.com/rmbell09-lang/tradesight.git
cd tradesight
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Run
python3 START_TRADESIGHT.py
Dashboard opens at http://localhost:5000
Demo Mode (No API Keys Required)
TradeSight runs fully in demo mode with simulated market data — no Alpaca account needed to explore.
Alpaca Paper Trading (Optional)
- Create a free Alpaca paper account
- Export your paper-trading API keys before launching:
export ALPACA_API_KEY="YOUR_KEY"
export ALPACA_SECRET_KEY="YOUR_SECRET"
python3 START_TRADESIGHT.py
📸 Dashboard
┌─────────────────────────────────────────────────┐
│ TradeSight Dashboard [Localhost:5000] │
├──────────┬──────────┬───────────┬───────────────┤
│ Markets │Tournaments│ Trading │ Settings │
├──────────┴──────────┴───────────┴───────────────┤
│ Active Signals: 3 Open Positions: 2 │
│ Best Strategy: MACD Crossover (score: 0.72) │
│ Paper P&L: -\$113.96 (initial RSI strategy) │
│ Next Tournament: Tonight @ 2:00 AM │
└─────────────────────────────────────────────────┘
🧪 Test Results
282/282 tests passing ✅
python -m pytest tests/ -v
🏗️ Architecture
tradesight/
├── src/
│ ├── scanner.py # Multi-market signal scanner
│ ├── strategy_lab/ # AI tournament engine
│ ├── trading/ # Alpaca paper trade executor
│ ├── indicators/ # 15+ technical indicators
│ └── automation/ # Overnight cron jobs
├── web/ # Flask dashboard
├── config/ # API keys + settings
├── data/ # Price history cache
└── tests/ # 169 unit tests
📈 Public Proof & Paper-Trading Notes
TradeSight includes an Alpaca paper-trading workflow for testing strategy automation with simulated funds. It is designed for local research, backtesting, and paper-trading experiments before any real-money decision.
Current public proof snapshot: https://rentry.co/tradesight-public-credibility-proof-20260620
Important limits:
- Paper-trading results are simulated and may not match live-market execution.
- Backtests and historical paper-trading snapshots are not predictions.
- TradeSight is not financial advice.
- No income, return, win-rate, or live-trading performance is promised.
🗺️ Roadmap
- Multi-indicator technical analysis (15+ indicators)
- AI strategy tournament engine
- Alpaca paper trading integration
- Real-time web dashboard
- Overnight automation (cron)
- Family-aware optimizer validation with OOS, walk-forward, regime, and overfit gates
- Phase 1: Active stop-loss + take-profit execution
- Phase 1: Trailing stop with high-water mark
- Phase 2: Confluence strategy (multi-indicator entry gates)
- Phase 2: Market regime detection (bull/bear/sideways filter)
- Phase 3: Monte Carlo simulation for strategy validation
💰 Support Development
TradeSight is MIT-licensed and free to use. If it saved you time or you want the packaged strategy lab with setup guide and pre-tuned parameters:
Get TradeSight Strategy Lab on Gumroad → — $49 one-time
Includes: packaged download, setup walkthrough, pre-configured Alpaca integration, and strategy parameter reference.
🔗 Related Projects & Alternatives
TradeSight is similar to — but different from — these popular Python trading tools:
| Project | What It Does | How TradeSight Differs |
|---|---|---|
| backtrader | Python backtesting framework | TradeSight adds AI strategy evolution + live paper trading web dashboard |
| freqtrade | Crypto trading bot | TradeSight focuses on stocks (Alpaca API) with overnight strategy tournaments |
| vectorbt | Vectorized backtesting in notebooks | TradeSight is a self-hosted web app — no notebook required |
| zipline-reloaded | Algorithmic trading library | TradeSight is a full app, not a library — no Python trading experience needed |
| Jesse | Crypto strategy framework | TradeSight is for stocks + prediction markets, not crypto |
| nautilus_trader | High-performance trading platform | TradeSight is simpler, self-hosted, built for hobbyists not HFT |
| BillingWatch | Self-hosted billing anomaly detection | Same maker — catch Stripe issues before they cost you |
Also useful for: python trading bot · algorithmic trading python · paper trading software · free backtesting · stock trading python · quantitative finance · algo trading strategy tester · self-hosted trading platform · automated trading system · backtesting framework
📄 License
MIT — free to use, modify, and build on.
⭐ If This Helped You
Star the repo — it helps other Python traders find it.
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