Stock Options Trading Bot Development

I’m looking to build an automated options trading system for U.S. equities that runs daily with strict risk controls, on Fidelity’s Active Trader Pro.

High-level objective:
A systematic options engine that deploys up to $5k–$30k of notional exposure per day, trades intraday only, and seeks to monetize volatility and repricing, not directional prediction. Positions are never held to expiration.

Core characteristics:
• Operates across a predefined universe of stocks (e.g., NVDA, SPY, QQQ, AAPL, MSFT, META)
• Focuses on cheap convex options (OTM calls/puts, short-dated)
• Enters multiple small positions across strikes (synthetic strangles/volatility structures)
• Automatically takes profits on repricing (e.g., 2x–4x option price moves)
• Accepts that most individual trades lose; edge is portfolio-level

Risk constraints (hard rules):
• Max gross exposure at any time: $10,000
• Max per-position risk: configurable (e.g., $250)
• Max daily loss: configurable kill switch (e.g., $300–$500)
• Max net directional delta exposure
• No overnight positions

Execution requirements:
• Fidelity (Active Trader Pro)
• Uses live option chains, Greeks, and underlying price feeds
• Fully automated entry, scaling, and exit
• Logging, alerts, and daily P&L reporting

Technology preferences (flexible):
• Python preferred
• Broker API integration
• VPS-deployable
• No black-box ML required; rules-based is fine

Deliverables:
• Strategy logic
• Risk engine
• Execution layer
• Deployment instructions Show More