sentiment-analysis

Quantify market sentiment by aggregating Fear and Greed indices, Put-Call Ratios, leverage data, capital flows, and social media metrics into actionable trading signals. This framework maps sentiment scores to specific portfolio weightings and risk management actions to support financial decision-making.

Mapping fear and greed indices to portfolio allocation involves converting multi-dimensional sentiment scores into specific recommended weightings and trading operations. By evaluating leverage data and foreign capital flows alongside these indices, you can execute targeted risk management actions for your portfolio.

Market sentiment analysis works with real-time volatility and social media metrics by requiring integration with market data APIs. This integration processes real-time leverage, volatility, and social discourse data to generate a comprehensive evaluation across five key sentiment pillars.

Validating extreme market fear requires analyzing multi-dimensional sentiment indicators to distinguish fundamental issues from temporary panic. By aggregating Put-Call Ratios, leverage data, and capital flows, you can decide whether to initiate a contrarian buy position based on structured quantitative analysis.

You can use this sentiment analysis framework for the A-share market to generate a comprehensive market sentiment report. It processes available real-time data, including foreign capital flows and social media discourse, to map sentiment scores to portfolio allocation strategies specifically for A-share trading.

Decoding trading signals using Put-Call Ratios and capital flow data requires integration with market data APIs to process real-time volatility, leverage, and social media metrics. This input aggregates five key pillars to convert subjective market emotions into structured, actionable quantitative indicators.