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.
JOURNAL / CATEGORY
Trading systems.
Research with evidence. Execute only with controls.
These educational guides separate AI-assisted investigation from the authority to change positions or submit orders. One examines freshness, risk checks, order state, and recovery. The other examines point-in-time evidence, research baselines, code review, and the assumptions behind a backtest. Neither provides trading signals, investment recommendations, brokerage access, or a promise of returns. Keep research conclusions and operating-system approval as distinct decisions.
Explore the trading research boundaryTrading systems field notes
2 guides
HFT API architecture: keep research outside the execution path
Explore market-data freshness, pre-trade controls, order state, reconciliation, and independent stop mechanisms.