Deepstack/env.production.example at main · eddiebelaval/Deepstack · GitHub

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# DeepStack Production Environment Variables
# Copy this to Railway/Render environment settings

# Required: API Keys
ANTHROPIC_API_KEY=sk-ant-xxx  # Required for AI analysis
ALPACA_API_KEY=xxx            # Required for market data
ALPACA_SECRET_KEY=xxx         # Required for market data

# Alpaca Configuration
# Use https://paper-api.alpaca.markets for paper trading
# Use https://api.alpaca.markets for live trading
ALPACA_BASE_URL=https://paper-api.alpaca.markets

# Optional: Alpha Vantage for additional data
ALPHA_VANTAGE_API_KEY=xxx

# Trading Configuration
TRADING_MODE=paper            # 'paper' or 'live'
MAX_POSITION_SIZE=0.05        # Max 5% of portfolio per position
MAX_PORTFOLIO_HEAT=0.15       # Max 15% total portfolio risk
DAILY_LOSS_LIMIT=0.02         # Max 2% daily loss

# Server Configuration (Railway sets PORT automatically)
# API_HOST=0.0.0.0           # Default
# API_PORT=8000              # Railway overrides with $PORT

# CORS Configuration
CORS_ORIGINS=https://your-vercel-app.vercel.app,http://localhost:3000

# Logging
LOG_LEVEL=INFO

# Feature Flags
ENABLE_LIVE_TRADING=false     # Set to true to enable live trading
ENABLE_OPTIONS=true           # Enable options analysis
ENABLE_EMOTIONAL_FIREWALL=true # Enable trading psychology features