陈少杰 0cd40a9bab feat: integrate TradingOrchestrator with 5-level signal dashboard ... - Merge orchestrator module (Quant+LLM dual-track signal fusion) - Replace ANALYSIS_SCRIPT_TEMPLATE to use TradingOrchestrator.get_combined_signal() - Extend signal levels: BUY/OVERWEIGHT/HOLD/UNDERWEIGHT/SELL (direction × confidence≥0.7) - Backend: parse SIGNAL_DETAIL: stdout line, populate quant_signal/llm_signal/confidence fields - Backend: update _extract_decision() regex for 5-level signals - Backend: add OVERWEIGHT/UNDERWEIGHT colors to PDF export - Frontend: DecisionBadge classMap for all 5 signal levels - Frontend: index.css color tokens --overweight/--underweight - Frontend: AnalysisMonitor shows LLM signal, Quant signal, confidence% on completion - Add orchestrator/cache/ to .gitignore Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>		2026-04-10 01:59:43 +08:00
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__init__.py	chore(release): v0.1.0 – initial public release of TradingAgents	2025-06-05 04:27:57 -07:00
conditional_logic.py	refactor: standardize portfolio manager, five-tier rating scale, fix analyst status tracking	2026-03-22 23:30:29 +00:00
propagation.py	feat: integrate TradingOrchestrator with 5-level signal dashboard	2026-04-10 01:59:43 +08:00
reflection.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
setup.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
signal_processing.py	refactor: remove stale imports, use configurable results path (#499)	2026-04-04 07:35:35 +00:00
trading_graph.py	feat: integrate TradingOrchestrator with 5-level signal dashboard	2026-04-10 01:59:43 +08:00