What problem does it solve? It turns open-ended stock screening questions into a traceable research workflow that defines the universe, retrieves live financial data, verifies business relevance with public disclosures, and delivers explainable candidate groupings instead of black-box rankings. ## Core Features & Use Cases - Multi-anchor screening: Handles direct condition filters, industry screening, theme/concept screening, supply-chain segment screening, strategy-style screening, stock comparison, and leader identification across A-share, HK, and US markets. - Evidence-based verification: Combines structured financial data (quotes, valuation, financials, index constituents) with public disclosures, exchange replies, and broker research to validate whether candidates genuinely benefit from a theme. - Transparent reporting: Produces formal reports with candidate tables, market/valuation comparison tables, key company deep-dives, visualizations, cited sources, and fixed risk disclaimers, delivered as Feishu documents. - Use Case: Ask "find the leading companies in the humanoid robot supply chain" and receive a scoped background analysis, a verified candidate pool grouped by evidence strength, multi-window price and valuation comparisons, and sourced conclusions without hidden scores. ## Quick Start Ask the assistant to screen stocks for a theme, industry, or strategy, for example: screen A-share semiconductor materials companies and identify the leaders with supporting evidence.
