Simulated real-time cryptocurrency sentiment analysis using advanced NLP and social media monitoring facsimiles. Analyzes 10,000+ synthetic posts inspired by Twitter, Reddit, and Telegram activity to provide market sentiment scores, fear/greed indicators, and predictive signal prototypes for Bitcoin, Ethereum, and altcoins.
Reuse the scenario engine, synthetic data seeds, and hooks that power this experience.
Real-time NLP scoring with social velocity, fear/greed normalization, and alerting.
Twitter API v2: Streams crypto hashtag velocity and engagement metadata.
useRealTimeData: Normalizes websocket payloads into ticker-keyed sentiment objects.
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