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AI options trading workflows.

Use AI to turn an options idea into a strategy you can inspect and test. Start with a working LumiBot example and define the rules before connecting a broker.

Read The AI Options Example

An options strategy needs more than a prompt. Define the underlying asset, expiration, strike selection, position size and exit conditions. Those choices determine which contracts the strategy can trade and what data a backtest needs.

LumiBot's AI Iron Condor example shows how an agent's decisions can work alongside Python rules. Read the code and understand the entry and exit logic before adapting it. A generated strategy or a quick build does not establish profitability.

Where to begin.

  1. Write the trading rules in plain language, including when the strategy should stay out of the market.
  2. Inspect the generated code and test it with historical options data that covers the selected contracts.
  3. Review orders, fills and losing periods, then test the broker connection in a paper account.

Looking for AI training for your team? Explore Lumiwealth Training.

Need help with an older course? Contact Lumiwealth.