You are subscribing to the AI Trading Systems Lab Journal – a curated body of experience-based operating notes derived from running a fully autonomous AI stock trading system under live conditions. The value lies in realities that only emerge under true autonomy: what breaks, what degrades quietly, and what is required to keep an end-to-end system stable without human intervention.

The journal is intentionally non-actionable. We do not provide strategies, signals, instrument commentary, data sources, or performance forecasts. Access is reviewed to ensure the audience remains aligned with this scope and to protect the constraints under which the material is produced.

Material is released on an irregular cadence, driven by relevance and operational significance rather than schedule. Subscribers receive ongoing access to the full online archive and to new issues as they are published.

If you are assessing the operational realities as autonomous trading systems move from research into live operation, the Lab Journal is designed to support that work.