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> |
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| .. | ||
| __init__.py | ||
| alpha_vantage.py | ||
| alpha_vantage_common.py | ||
| alpha_vantage_fundamentals.py | ||
| alpha_vantage_indicator.py | ||
| alpha_vantage_news.py | ||
| alpha_vantage_stock.py | ||
| config.py | ||
| interface.py | ||
| stockstats_utils.py | ||
| utils.py | ||
| y_finance.py | ||
| yfinance_news.py | ||