sentiment-analysis

To quantify market sentiment, this skill integrates the fear-greed index, Put-Call Ratio, financing signals, northbound fund flows, and social sentiment into a standardized 0-100 scoring model with clear action mappings and risk notes.

Combining social-media sentiment with northbound fund flows provides a multi-dimension analysis that normalizes data into a unified sentiment level, supporting intraday trading decisions, strategy backtesting, and asset allocation for A-share markets.

Yes, this market sentiment analysis applies across crypto, A-share markets, and global equities. It uses a multi-source data approach to generate scenario-based interpretations for each market environment.

To start monitoring financing signals and market mood fluctuations, provide the current market sentiment dashboard. The skill outputs a brief interpretation with a standardized sentiment level and trend for intraday trading.

The sentiment scoring model provides both a general mood level and specific trading actions. It normalizes each dimension to a 0-100 scale, providing clear action mappings alongside risk management notes for traders.

A standardized 0-100 sentiment score provides actionable quantification for risk management, but it should be used as a sentiment reference. Market mood fluctuations are highly dynamic, so always consider the included risk notes before finalizing asset allocation.