Social media has become the primary channel for market-moving information. From retail investor coordination on Reddit to crypto whale alerts on Telegram, the signals are there — if you know how to extract them.
The Pipeline
Our financial signal detection system processes social media posts through multiple stages:
Entity Recognition. We identify ticker symbols, company names, cryptocurrency addresses, and financial instrument mentions using a combination of pattern matching and context-aware disambiguation.
Event Classification. Posts are classified into financial event categories: earnings discussion, regulatory news, product launches, insider activity, whale movements, and market sentiment.
Signal Scoring. Each detected signal receives a confidence score based on source credibility, post engagement, cross-platform corroboration, and historical accuracy.
Coverage
The system currently covers:
- Stock tickers (NYSE, NASDAQ)
- Cryptocurrencies (BTC, ETH, SOL, and 500+ altcoins)
- Macroeconomic indicators
- Regulatory announcements
- DeFi protocol events
Use Cases
Quantitative Researchers. Augment price data with social sentiment signals for alpha generation.
Risk Analysts. Monitor social media for early warning signs of reputational crises or coordinated market manipulation.
Trading Firms. Integrate real-time signal feeds into execution algorithms.
Accuracy Metrics
After three months of production deployment:
- 87% precision on stock-related signal detection
- 92% recall on major crypto event detection
- Average latency under 30 seconds from post to signal
— Heshan Sanjuka, Founder