sentiment-analysis

You quantify market sentiment by synthesizing fear and greed indices, option ratios, leverage data, and social media trends into actionable trading indicators. This aggregates subjective market signals into a structured sentiment score to guide asset allocation.

The best way to use a fear and greed index for contrarian entries is generating a comprehensive sentiment report when the index shows extreme fear (below 20). This report maps aggregated sentiment scores to specific trading strategies to identify optimal market timing.

Yes, you can convert unstructured social media discussions into measurable heat and sentiment scores. This social media quantization transforms subjective discussions into quantitative metrics, providing a multi-dimensional view of market sentiment for financial decision-making.

Yes, market sentiment analysis requires integration with market data APIs to calculate real-time metrics. These APIs supply the quantitative data for fear and greed indices, put-call ratios, and leverage data needed across crypto and equity markets.

Mapping market sentiment to asset allocation requires quantitative indicators including fear and greed indices, put-call ratios, leverage metrics from margin trading, and foreign capital flows. Aggregating these indicators provides the sentiment scores needed for trading strategies.