AI Stock Options Trading Bot

I want to fast-track the build of an AI-powered trading bot for US stock options, with Claude / Claude Code (or a comparable LLM) helping to accelerate coding and ongoing optimisation. The first live connection must be Interactive Brokers. Once authenticated, the system should pull real-time market data, scan the option chain across multiple tickers simultaneously, and act automatically on a technical-indicator-driven strategy. I already have the indicator logic drafted, so your task is to translate it into clean, test-covered code, wire it to the IB API, and wrap it with solid risk controls—stop-loss, position-sizing rules, and a hard kill switch I can trigger instantly. Key workflow 1. Backtesting: run historical simulations against my rule set and output detailed metrics. 2. Paper trading: mirror live conditions without capital at risk. 3. Live trading: route orders to Interactive Brokers once tests pass. I need a web dashboard (simple React or similar is fine) that shows current positions, running P&L, and an execution log in real time. Logs should be stored so I can audit fills later. Acceptance criteria • Strategy executes end-to-end in backtest, paper, and live modes with identical logic. • Dashboard updates within one second of any fill. • Emergency kill switch cancels all open orders and halts new ones instantly. • All config (API keys, thresholds, position limits) lives in an encrypted .env or secret store. If you’ve built option-focused bots before—especially around Interactive Brokers—and are comfortable leveraging AI tools to speed iteration, let’s talk.