What problem does it solve? It answers whether a Chinese A-share sector, concept, or theme is currently hot, why it moved, and whether the momentum is sustainable, using verifiable market data instead of guesses. ## Core Features & Use Cases - Dual-Track Heat Scoring: Scores information heat and market heat separately (1-5 each), combines them into a composite score, and detects divergences such as news-driven versus capital-driven moves. - Strict Data Discipline: All quotes, turnover, and PE(TTM) figures must come from seed_finance_search with evidence registration in facts.json; derived metrics are computed by scripts and enforced by lint gates. - Two-Stage Delivery: Produces a validated chat report first, then renders a Feishu (Lark) document via doc.md and lark-doc XML only when the user requests it. - Use Case: Ask whether the innovative drug sector is worth chasing after a rebound; the skill collects sector and 10 representative stocks' data, attributes catalysts, classifies volume-price divergence groups, and outputs a structured analysis with signals and risks. ## Quick Start Ask the assistant to analyze whether a specific sector or concept is hot right now and whether it is worth chasing.
