AI trading research: build a workflow you can challenge
Use models for bounded research while preserving evidence, point-in-time data, testing discipline, and review.
A bounded role for AI in research
Use this collection to think about what a model may propose and what a system is authorized to do. The research guide emphasizes traceable evidence, data availability, meaningful baselines, and reviewable code. The architecture guide covers freshness, pre-trade controls, order state, and uncertain outcomes. Both are educational, not investment advice. Model-generated confidence, a persuasive narrative, or a successful simulation does not establish future profitability or permission to deploy.
Explore the topic hubUse models for bounded research while preserving evidence, point-in-time data, testing discipline, and review.
Explore market-data freshness, pre-trade controls, order state, reconciliation, and independent stop mechanisms.