stock-sentiment-analysis

Analyze market sentiment across different stock markets by applying a reusable emotion-cycle framework to interpret expectation gaps and crowding from evidence. This framework supports A-shares, Japanese stocks, and US indexes consistently.

Expectation gap analysis in stock trading structures the comparison between what the market already expected and what actually landed, tying the divergence to subsequent price acceptance or rejection.

Classify the emotion cycle of a stock market move by labeling early-cycle versus late-cycle behavior, distinguishing main-line leaders from followers, and identifying defensive alternatives.

You can use this sentiment analysis framework without private data or API keys because it enforces public-safe usage by avoiding proprietary RAG materials, private folders, and account info.

Synthesize forum heat and price volume for stock sentiment by applying evidence priority rules, validating confirmed catalysts and market structure against peer behavior and tape acceptance.

You need to gather move reasons before analyzing market sentiment, as this framework interprets evidence collected by other market skills to classify the current risk-on or risk-off context.