Commit Graph

5 Commits

Author SHA1 Message Date
TPTBusiness d2037a475a fix(loop): compress old experiment history in proposal prompt to reduce context size
- Summarize all but the 2 most recent experiments to compact bullet lines
  (factor name, PASS/FAIL, IC value, 120-char observation snippet) instead
  of including full verbatim traces; reduces prompt from ~121k to ~40-60k tokens
- Fix _evaluate_factor_directly and _save_factor_values to look for result.h5
  and factor.py in sub_workspace_list instead of experiment_workspace
- Fix Series.to_parquet() → Series.to_frame().to_parquet() in _save_factor_values
- Update factor_data_template README: correct bars-per-day (1440, not 96)
- Update prompts to accept 2024-only debug dataset output as valid factor result
- Fix factor_coder prompts: allow 2024 debug data in date-range instruction

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-25 09:10:39 +02:00
TPTBusiness 7e7e40b041 feat: Fix 1min data integration and centralize all prompts
- Fix daily/1min contradiction in factor_experiment_loader prompts
- Rename daily_pv.h5 to intraday_pv.h5 (generate.py, utils.py, README)
- Fix FactorDatetimeDailyEvaluator to accept 1min bars as correct
- Add _write_run_log() to log every factor attempt to results/logs/
- Add _ensure_results_dirs() to create all result directories
- Extract all 44 prompt YAML files to prompts/ centralized directory
- Add prompts/INDEX.md for navigation

Tests: 93 passed
2026-04-04 08:20:58 +02:00
TPTBusiness b95bbf5900 feat: EURUSD Trading-Verbesserungen implementiert (Phase 1)
Neue Module für quantitatives EURUSD-Trading:

1. Hurst Exponent Regime Detection (eurusd_regime.py)
   - Erkennt Marktregime: MEAN_REVERSION, NEUTRAL, TRENDING
   - R/S-Analyse für 1min EURUSD-Daten optimiert
   - Trading-Empfehlungen pro Regime

2. BM25 Memory-System (eurusd_memory.py)
   - Speichert vergangene Trades mit Situation/Ergebnis
   - Findet ähnliche Setups via BM25-Ähnlichkeit
   - Persistente JSON-Speicherung
   - Historische Win-Rate Analyse

3. Volatility-Adjusted Position Sizing (eurusd_risk.py)
   - ATR-basierte Volatilitätsmessung
   - Positionsgröße nach Volatilitäts-Percentile (0.4x-1.5x)
   - Regime-Adjustierung (MEAN_REVERSION/TRENDING/NEUTRAL)
   - Korrelations-Adjustierung für Forex-Paare

4. Multi-Provider LLM Fallback (eurusd_llm.py)
   - Automatische Fallback-Kette bei API-Ausfällen
   - Provider: Qwen3.5 → DeepSeek → Gemini → Ollama
   - Provider-Statistiken für Monitoring
   - JSON-Modus für strukturierte Outputs

Daten-Pipeline verbessert:
- 1-Minuten-Daten korrekt in Qlib integriert
- Prompts von 15min auf 1min aktualisiert
- generate.py für 1min EURUSD-Daten angepasst

Alle Module einzeln und im Integrationstest bestanden.
2026-03-30 19:56:26 +02:00
you-n-g e3d6361ae9 fix: Set default value for 'entry' parameter in Env.run method (#643) 2025-02-26 16:51:38 +08:00
Xu Yang 0933eb2948 build factor source data (price and volumns) from qlib if no source data is provided by the user (#168) 2024-08-05 21:01:59 +08:00