a structured approach to power markets

decision tree builds human-in-the-loop trading systems for power markets, combining data engineering, market structure, machine teaching, analytics, trade selection, and disciplined execution.

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these markets are not solved by prediction alone. they are navigated through structure. we build systems that turn fragmented information, weather divergence, operational constraints, historical context, and real-time signals into clearer decision pathways. the goal is not full automation for its own sake. the goal is better judgment at scale.