AI Stock Options Trading Bot
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
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.
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.
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