市场情绪 分析: AI 社交媒体 and 新闻 处理 for Trading Signals

Social media and news sentiment can move markets. Our NLP models at AI-Stock-Predictions.com process millions of posts and articles daily to generate sentiment signals that complement fundamental and technical analysis.

Data Sources

We ingest data from financial Twitter/X, Reddit (WallStreetBets, investing), StockTwits, financial news wires, earnings call transcripts, and SEC filings. Each source is weighted by historical predictive power.

Sentiment Scoring

Fine-tuned transformer models trained on financial text produce granular sentiment scores — not just positive/negative, but dimensions like conviction, uncertainty, and urgency.

Contrarian Signals

Extreme sentiment often signals reversals. When retail sentiment reaches euphoric or panic levels, our models generate contrarian signals that have historically preceded mean reversion.

Sentiment Dashboard

Track real-time market sentiment at AI-Stock-Predictions.com.