AI Market Sentiment Analyzer

A production-grade sentiment analysis engine that processes thousands of data points per minute to give you an institutional-level market sentiment picture.

Data Sources:

• Twitter/X firehose analysis (keyword + cashtag tracking)
• Reddit r/wallstreetbets, r/cryptocurrency, r/forex monitoring
• Google News, Bloomberg, Reuters headline scanning
• Earnings call transcript analysis
• SEC filing sentiment (10-K, 10-Q, 8-K)
• Telegram and Discord channel monitoring

NLP Pipeline:

• FinBERT fine-tuned model for financial sentiment (94% accuracy)
• GPT-4o for nuanced context understanding
• Entity extraction — maps sentiment to specific tickers
• Sarcasm and irony detection (trained on Reddit data)
• Multi-language support (EN, CN, JP, KR)

Sentiment Scoring:

• Real-time bullish/bearish score per asset (0–100)
• Social volume tracking with anomaly detection
• Sentiment momentum — rate of change in score
• Fear & Greed index per asset class
• Contrarian signals — extreme sentiment as reversal indicator

Alerts & Integration:

• Webhook alerts on sentiment spikes
• Telegram, Discord, Slack notifications
• REST API for integration into trading bots
• Historical sentiment data export
• Correlation analysis: sentiment vs. price action

Dashboard:

• Real-time heatmap of market sentiment
• Per-asset sentiment timeline chart
• Word cloud of trending topics
• Source breakdown (which platform drives sentiment)
• Custom watchlist with personalised alerts

Tech Stack:

• Python 3.11+ with FastAPI
• FinBERT + OpenAI GPT-4o
• Redis Streams for real-time processing
• PostgreSQL + TimescaleDB
• React dashboard with WebSocket updates
• Docker Compose deployment