WeChat Stock Influencer Style Distillation

Problem It Solves

Stock reviews often collapse into one generic answer, but short-term trend, industry-chain, value, and pure technical traders focus on different signals. This skill distills public-account stock writers into structured profiles, simulating their analytical frameworks rather than issuing buy/sell advice.

How It Works

• Six-dimension profile: loads a writer's profile around trading system, market judgment, expression style, content depth, interaction patterns, and hot-topic map.
• Real-time data: market data must come from user input or WebSearch; the model must not fabricate. Items such as limit-up/limit-down counts, turnover, and northbound flows require cross-source verification and source-domain labels.
• Multiple modes: supports single-writer analysis, multi-writer comparison, sector funnel, short-term screening, portfolio review, earnings notes, and daily review.
• Quality audit: output is checked against surface style and reasoning structure, and claims are downgraded when data confidence is A, B, or C graded.

Boundaries

It is useful for learning analytical frameworks, reviewing market sentiment, and comparing styled viewpoints. The output is a style simulation and not investment advice; if latest articles have not been synced, profiles may lag, so real data should be supplied before regenerating.