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Explore how we think about AI, market data, signal detection, model limitations, and the methods behind our research.
Latest research
Practical research notes without the hype. We focus on what the models can do, where they fail, and what we learn from both.
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Markets generate enormous amounts of data every second. This article explores how AI can transform that data into structured insights while accounting for noise, uncertainty, and changing market conditions.
A practical look at how AI models process financial market data, identify patterns, and deal with noisy signals.

Learn how automated trading systems use algorithms, data, and AI to analyze markets, reduce repetitive manual work, improve consistency, and help people make more structured, data-informed decisions—while understanding their limitations and risks.
Take the conversation further with the AAT AI Assistant. Explore concepts, ask questions, and learn how AI approaches financial market data.