Dinger
2e9c7cd69e
Core changes: - Refactor FastAnalysisService: single LLM multi-factor analysis replaces 7-agent pipeline; add multi-timeframe consensus, threshold calibration, confidence calibration, multi-model ensemble voting - Add RAG memory injection and reflection validation (analysis_memory + reflection worker) - Simplify billing config: remove unused strategy_run/backtest/portfolio_monitor, add ai_code_gen separate billing (different token consumption scale) - Settings hot-reload after save, no backend restart needed Frontend: - Global dark theme overhaul: pure black palette replacing blue-tinted colors across sidebar/header/dashboard/analysis/K-line/user-manage/profile/settings/billing - Fix USDT payment modal dark theme (portal rendering broke CSS selectors) - Refactor position modal: direction + quantity + entry price, remove add/reduce logic, show raw DB values on re-open, save exactly what user inputs - Fix Polymarket prediction market dark text - i18n for position modal title Backend: - Position management: one record per symbol (DELETE+INSERT replacing ON CONFLICT with side), fixes PnL showing 0 when switching long/short - MarketDataCollector data fetching optimization - portfolio_monitor scheduled monitoring improvements - env.example reorganized: common config first, advanced config last Documentation: - README architecture diagram updated to FastAnalysisService flow - Add virtual position, AI tuning config, billing items documentation - Add INDICATOR_DEFINITIONS_CN.md, FRONTEND_FAST_ANALYSIS.md Made-with: Cursor
36 lines
1.0 KiB
Python
36 lines
1.0 KiB
Python
#!/usr/bin/env python3
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"""
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Run AI calibration manually (e.g. via cron).
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Usage:
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python scripts/run_calibration.py
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AI_CALIBRATION_MARKET=Crypto python scripts/run_calibration.py
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AI_CALIBRATION_MARKETS=Crypto,USStock python scripts/run_calibration.py
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"""
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import sys
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import os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
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from app.services.ai_calibration import AICalibrationService
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def main():
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markets = (os.getenv("AI_CALIBRATION_MARKETS") or os.getenv("AI_CALIBRATION_MARKET") or "Crypto").strip().split(",")
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for m in markets:
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m = m.strip()
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if not m:
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continue
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print(f"Calibrating market: {m}")
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svc = AICalibrationService()
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r = svc.calibrate_market(market=m, validate_before=True)
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if r:
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print(f" OK: accuracy={r.best_accuracy:.1f}% threshold=±{r.buy_threshold:.1f} samples={r.sample_count}")
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else:
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print(" SKIP: not enough validated samples")
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print("Done.")
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if __name__ == "__main__":
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main()
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