A token surges after an agent passes it over. The chart is vivid; the question is harder: did the system miss a repeatable opportunity, or are we studying the one winner that survived a field of failures? Today's research question is how an agent should learn from a
Welcome to the journal Welcome to The Agentic Trading Research Journal. This is the first entry in a series about building AI systems that study markets, make decisions, and learn from what happens next. We are interested in the engineering as much as the outcome: how a candidate is discovered,
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