🐟 BIGGFISH - Autonomous Stock Trading System

Goal: Turn $100 → $1,000 in 2 months through intelligent paper trading

Overview

BIGGFISH is an AI-powered autonomous trading system that:

• Starts with small cap stocks, gradually transitions to blue chips
• Continuously researches and learns market patterns
• Proposes strategies for approval before execution
• Provides daily performance reports and insights
• Operates on Alpaca paper trading (zero risk)

Architecture

Core Components

1. Trading Engine (src/trading/)

   • Alpaca API integration
   • Order execution
   • Position management
   • Portfolio tracking

2. Research Module (src/research/)

   • Market data analysis
   • Small cap screening
   • News sentiment analysis
   • Pattern recognition
   • Continuous learning

3. Strategy Engine (src/strategies/)

   • Strategy development
   • Backtesting
   • Risk assessment
   • Performance optimization

4. Reporting System (src/reporting/)

   • Daily performance reports
   • Trade logs
   • Strategy proposals
   • Learning insights

Trading Rules

• ✅ Paper trading only (Alpaca)
• ✅ Start with small caps, move to blue chips as portfolio grows
• ✅ All strategies require approval before execution
• ✅ Daily reports and transparency
• ✅ Risk limits enforced programmatically
• ✅ Continuous research and adaptation

Setup

cd /workspace/extra/repos/biggfish
pip install -r requirements.txt
cp config/config.example.json config/config.json
# Add your Alpaca paper trading API keys to config.json
python src/main.py

Goal Timeline

• Week 1-2: Small cap momentum plays ($100 → $200)
• Week 3-4: Diversify into mid caps ($200 → $400)
• Week 5-6: Add blue chip positions ($400 → $700)
• Week 7-8: Balanced portfolio ($700 → $1,000)

Status

🚧 In Development - Building initial components