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A gold reinforcement learning bot hit 60% out-of-sample returns, so I stress tested it to find out whether it found a real edge or just got lucky. This video walks through the full build-and-test logic behind the agent, from the reward function to the sliding-window evaluation setup. I also show why a model with 86% training returns can still ...
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