sentiment-analysis

To aggregate market sentiment, you ingest diverse inputs like fear/greed indices, Put-Call Ratio, financing data, and social media chatter. A multi-factor framework normalizes each sub-indicator to a 0-100 scale to compute a composite sentiment score.

A composite market sentiment score is a standardized 0-100 metric synthesizing cross-asset signals like crypto fear/greed, northbound capital flows, and equity PCR. It normalizes multi-source inputs to generate actionable trading signals and risk cues.

Yes, you can use cross-asset sentiment indicators for crypto and stock markets. The framework applies multi-market context analysis to process on-chain and off-chain data, generating a unified sentiment score for portfolio exposure timing.

You quantify social media chatter and financing margin data by normalizing them into a standardized 0-100 scale alongside other market indicators. This multi-source fusion creates actionable risk cues for adjusting hedges during regime shifts.

Spotting market turning points using the fear and greed index involves aggregating it with northbound capital flows and PCR signals. The multi-factor framework outputs a composite 0-100 score to help identify regime shifts and actionable positioning signals.

To calculate a Put-Call Ratio sentiment score, you need to ingest current PCR, financing, and northbound fund signals. The framework normalizes these specific market sentiment inputs to produce a dashboard-ready 0-100 metric with interpretation guidelines.