AI In A Trading Workflow: Three Examples

AI in a Trading Workflow: Three Examples | Dr Krzysztof Ozimek

Where exactly can AI help in a trading workflow? Three short, non-exhaustive examples of the mechanism, from building code to reading text to reproducing research.

See the page below: (1) strategy coding speed-up, with context, rules, an outline and testing of each phase; (2) scoring documents with a language model, against a free baseline, in search of LLM-based alpha; (3) an agentic system that reproduces a published finance paper, verifies its results and tests it out of sample (OOS), as described by Ken Griffin of Citadel.

Slide titled Where AI can help in a trading workflow with three panels: strategy coding speed-up (context, rules, outline, test), scoring documents for alpha (text, LLM score, free baseline, test) and reproducing papers (read, reproduce, verify, OOS)

Event banner for the Packt live workshop AI-Powered Trading: From Market Analysis to Indicators and Trading Bots, Saturday November 14, 2026, 9:00 AM to 12:00 PM ET, with speaker Chris Tubby and the note I’ll be there from Dr Krzysztof Ozimek

This is the second of three posts around AI-Powered Trading: From Market Analysis to Indicators and Trading Bots, a live, hands-on online Packt masterclass with Chris Tubby, founder of Trading4Tomorrow, on Saturday, November 14, 2026. His principle: "I drive, AI accelerates." The examples on the page complement what Chris will show rather than introduce it: they come from book chapters and an interview, not from his session.

Full details and registration: https://www.eventbrite.co.uk/e/ai-powered-trading-from-market-analysis-to-indicators-and-trading-bots-tickets-2003146017662?discount=OZI40&aff=ozi

Next up: a review with my impressions after the workshop.

Disclosure: I received a complimentary ticket to this event from Packt Publishing. The views above are my own.