Youssef Aitousarrah 43bdd6de11 feat: discovery pipeline enhancements with ML signal scanner ... Major additions: - ML win probability scanner: scans ticker universe using trained LightGBM/TabPFN model, surfaces candidates with P(WIN) above threshold - 30-feature engineering pipeline (20 base + 10 interaction features) computed from OHLCV data via stockstats + pandas - Triple-barrier labeling for training data generation - Dataset builder and training script with calibration analysis - Discovery enrichment: confluence scoring, short interest extraction, earnings estimates, options signal normalization, quant pre-score - Configurable prompt logging (log_prompts_console flag) - Enhanced ranker investment thesis (4-6 sentence reasoning) - Typed DiscoveryConfig dataclass for all discovery settings - Console price charts for visual ticker analysis Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>		2026-02-09 22:53:42 -08:00
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plans	feat: discovery pipeline enhancements with ML signal scanner	2026-02-09 22:53:42 -08:00
HISTORICAL_MEMORIES.md	Update	2025-12-02 20:49:42 -08:00
MEMORY_CONFIGURATION_GUIDE.md	Update	2025-12-02 20:49:42 -08:00
STRUCTURED_OUTPUT_GUIDE.md	Update	2025-12-02 20:49:42 -08:00
TOOL_SYSTEM_ARCHITECTURE.md	Update	2025-12-02 20:49:42 -08:00