🎓 Educational Research Project
Production-Ready
Reinforcement Learning
Trading System
Built with Domain-Driven Design | PPO, A2C, SAC Algorithms | Systematic Risk Management
628.09%
Top Performer (NEM)
76.4%
Average Win Rate
20
Profitable Symbols
Key Features
A sophisticated trading research platform combining cutting-edge ML with production engineering
Performance Highlights
Backtest results from 2025-01-01 to 2025-09-30
Aggressive risk profile (50-75% positions) • Educational data only
| Rank | Symbol | Return | Sharpe | Win Rate | Trades |
|---|---|---|---|---|---|
| #1 | NEM | +628.09% | 3.62 | 85.7% | 28 |
| #2 | ORCL | +489.33% | 3.06 | 87.1% | 31 |
| #3 | AVGO | +400.42% | 3.28 | 80.6% | 36 |
| #4 | ACN | +270.49% | 2.35 | 95.2% | 21 |
| #5 | ADBE | +216.06% | 2.85 | 90.9% | 22 |
126.2%
Avg Return
2.147
Avg Sharpe
76.4%
Avg Win Rate
100%
Profitable
System Architecture
Built with modern software engineering principles and production best practices
Frontend
Landing Page
Next.js + Vercel
Next.js + Vercel
Dashboard
React + Vite
React + Vite
Backend
REST API
FastAPI
FastAPI
RL Engine
PPO/A2C/SAC
PPO/A2C/SAC
Risk Management
Domain Layer
Domain Layer
Infrastructure
Railway
Deployment
Deployment
Market Data
Tiingo API
Tiingo API
Storage
Filesystem
Filesystem
Backend Technologies
- FastAPI - High-performance async Python framework
- Stable-Baselines3 - RL algorithm implementations
- PyTorch - Neural network policy architectures
- Pandas/NumPy - Data processing and technical indicators
Frontend Technologies
- Next.js 15 - React framework with App Router
- React 18 - Dashboard with real-time updates
- Tailwind CSS - Utility-first styling system
- Recharts - Performance visualization charts
Live API Demo
Try the RL prediction API with real-time symbol analysis
Quick select:
Enter a stock symbol and click "Get Prediction" to see the AI analysis
Ready to Explore?
Review the complete backtest results, explore the system architecture, or dive into the source code.