Most investors read news after the price has already moved. FinWin.ai's ML-powered sentiment scoring overlays news sentiment directly on your price chart — so you can see the cause and effect in real time.
Every news article is scored by a machine learning model for Bullish, Bearish or Neutral sentiment — with a numerical score from -1 to +1. No human bias, no lag.
Add your own sentiment score to any news item. Combine your qualitative judgment with the ML score to build a richer picture of market mood.
Sentiment scores plotted as a timeline below the price chart — see spikes in bullish or bearish sentiment aligned with price moves. Identify the news that caused each move.
All news filtered to your specific stock — searchable by keyword, with date range control. Each story linked to its sentiment score and the price reaction that followed.
1-minute to daily timeframes with sentiment bars plotted simultaneously. See whether a price drop was sentiment-driven (news) or purely technical (no news).
Navigate to any stock page and click the Sentiment tab. The top panel shows the price chart; below it you'll see the ML-generated and user-assigned sentiment score timeline.
Look for spikes in bullish (blue) or bearish (orange/red) bars aligned with price moves. Each bar represents a news event — hover to see the article and its score.
Identify a sentiment spike and check the price chart at the same timestamp. Did price react immediately? Was the reaction proportional to the sentiment score? This calibrates your model.
Use the keyword search in the News feed to find all articles mentioning specific terms (e.g. 'earnings beat', 'guidance cut', 'CEO departure') and see how each impacted the stock.
For articles you read in full, add a user sentiment score. Over time, compare your judgment vs the ML score — this sharpens both your and the model's edge.