What problem does it solve? Manually filtering thousands of stocks across valuation, momentum, technical, and capital-flow dimensions is slow and error-prone. This Skill turns natural language or structured conditions into executable DSL queries against the QuantDB factor store, returning a matched stock pool with quantitative metrics in seconds. ## Core Features & Use Cases - Three Query Modes: Parse free-text requests (e.g. "market cap over 50B and ROE above 15%"), structured numeric/trend/composite conditions, or raw DSL like SELECT symbol WHERE pe < 15 via the QuantMind backend API. - Rich Factor Coverage: Screens across 150+ fields from QuantDB tables including valuation (PE/PB/market cap), technical indicators (MA/RSI/KDJ/MACD), L1 factors (momentum, capital flow, concept heat), sentiment, and margin data. - Multi-Market Support: Query A-shares (SH/SZ/BJ), Hong Kong, US, and crypto markets, with summary statistics like match rate and candidate totals. - Use Case: Ask "find low-valuation blue chips with PE under 15, market cap over 50 billion, and ROE above 10%" and receive a filtered stock pool with per-stock metrics, ready for downstream news analysis, model inference scoring, or factor mining. ## Quick Start Ask the assistant to select A-share stocks where PE is below 15 and ROE is above 10 percent using the smart strategy stock picking skill.
