Shadow version of Wyckoff with range/spring/breakout parameters calibrated by CUDA brute force and OOS-validated per asset.
Wyckoff Evolved keeps the existing Wyckoff strategy and replaces hardcoded values with GPU-calibrated parameters. The 2026-05-15 run tested 100k combinations per asset on 1y Binance 5m OHLCV, then validated the top 2000 on the 30% OOS split. Assets that fail robustness filters keep parent defaults.
Strategy designed by CUDA RTX 4080 SUPER optimizer
Same Wyckoff logic: trading range, spring, confirmed breakout, volume filter and SL/TP management. Parameters are loaded from wyckoff_evolved_params.json only for OOS-robust assets.
Trading range, spring, breakout, volume z-score, per-asset optimized thresholds.
High
Data-driven calibration, 70/30 OOS validation, automatic parent-Wyckoff fallback when an asset fails filters.
Shadow mode: live results must be monitored before activation. The run validates mainly COMP/INJ/PUMP; FLOKI and BNB remain fallback.
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