sentiment-analysis

To combine fear and greed indicators with put-call ratios for crypto trading, this skill calculates normalized thresholds for each indicator and generates a weighted composite score. This structured signal helps you map market sentiment directly to specific position sizing and contrarian hedging actions.

Tracking northbound capital flows and margin trading extremes for A-share market sentiment is done by monitoring financing balance trends and inflow or outflow streaks. This skill highlights these leverage guardrails to signal market overheating or capitulation, guiding risk-aware positioning.

You can use social media sentiment analysis to guide contrarian trading by gathering chatter and sentiment intensity. This skill integrates social media data with fear-greed indexes and leverage trends to produce a composite score, aligning your moves with the broader market mood cycle.

Market sentiment analysis works for both crypto and A-share markets by applying fear-greed indexes, put-call ratios, and northbound capital flows. The skill quantifies subjective greed and fear narratives into structured signals, helping traders avoid emotional overreactions across both asset classes.

To normalize leverage trends and financing balances into actionable trading signals, the skill reports normalized thresholds for each indicator. It evaluates financing balance trends and margin trading extremes to surface contrarian cues, allowing operators to map signals to specific position sizing.

Using a composite sentiment score instead of individual fear and greed indicators prevents emotional overreactions by providing a weighted overall market mood. This skill combines PCR, leverage trends, northbound flows, and social sentiment into a single score for risk-aware positioning.