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foxhunt/docs/superpowers/results
jgrusewski a83b4a97f1 results: raw_next fix verdict — training Sharpe +0.19 avg, peak 1.02, WinRate 25%
Root cause: experience collector used raw_next (future price) for P&L,
creating 1-bar action-reward misalignment. 30+ H100 runs couldn't
overcome this. Fix: use raw_close only + trade-level P&L.

Result: WinRate 45%→25% (selective), Sharpe 0→+0.19 avg,
peak 1.02 (3 times), PF 1.09, 67% positive epochs.
First genuine asymmetric trading strategy in the project.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 20:22:27 +02:00
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