6 Commits

Author	SHA1	Message	Date
dtarkent2-sys	7ad9e1d1ce	feat: rebuild as structured Pydantic equity ranking engine ... Replace generic LLM debate system with a tiered, macro-aware equity ranking pipeline where every agent returns Pydantic structured output and scoring is deterministic Python — no prose drives downstream decisions. Architecture: Validation → Tier 1 (Macro+Liquidity parallel) → Tier 2 (8 agents parallel) → Scoring (Archetype+MasterScore) → Tier 3 (Bull/Bear debate + Risk + FinalDecision) → END Master Score: 25% business_quality + 20% macro + 15% institutional_flow + 10% valuation + 10% entry_timing + 10% earnings_revisions + 5% backlog + 5% crowding. Hard veto gates, confidence penalties, position role assignment all computed deterministically. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-09 21:30:46 +00:00
dtarkent2-sys	3cd0c19b35	Parallelize research & risk debate stages for ~25% faster analysis ... Run Bull+Bear researchers concurrently and all 3 risk analysts (Aggressive/Conservative/Neutral) concurrently instead of sequentially. With max_debate_rounds=1, there's no back-and-forth so parallel execution is safe. Sequential mode is completely unchanged. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-20 14:45:59 +00:00
dtarkent2-sys	223879bc04	feat: parallelize analyst agents for ~3x speedup ... Run all 4 analysts (Market, Social, News, Fundamentals) concurrently using asyncio.gather instead of sequentially. Each analyst gets its own isolated message state and tool-calling loop. Cuts analyst phase from ~8-9 min to ~2-3 min (total analysis from ~11 min to ~4-5 min). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-02-20 11:13:16 +00:00
Yijia Xiao	50961b2477	refactor: rename risky/safe agents to aggressive/conservative	2026-02-03 22:27:20 +00:00
luohy15	a6734d71bc	WIP	2025-09-26 16:17:50 +08:00
Yijia-Xiao	cc97cb6d5d	chore(release): v0.1.0 – initial public release of TradingAgents	2025-06-05 04:27:57 -07:00