US Fundamentals Data - Social Sentiment
The Social Sentiment dataset is a snapshot of activity across major social platforms. Ticker discussons are aggregated across multiple platforms including Reddit, X, StockTwits and then scored. Each record reports a ticker's activity (mention volume), as well as an rank for the top 100 tickers by activity.
This dataset is updated every three hours.
Access the data set by downloading Excel-comapitable csv files, or use the API for more granular queries :
Historical Social Sentiment (by Ticker)
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Response Fields
| Field | Name | Description |
|---|---|---|
| timestamp | Timestamp | When the sentiment reading was recorded. |
| activity_rank | Activity Rank | Ranking against other tickers (lower = more activity). |
| activity | Activity | Raw measure of social mention volume. |
Latest Social Sentiment (All Tickers)
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Response Fields
Each item carries the same field set as the per-ticker endpoint above, plus a ticker field identifying the symbol.
Common Use Cases
- Retail-flow tracking — surface tickers spiking in mention volume before they move on price.
- Sentiment overlays — combine with price/volume signals to filter out bullish chatter that the tape isn't confirming.
- Risk monitoring — alert on a sharp negative shift in sentiment for names in a portfolio.
- Meme-stock screens — rank the universe by activity rank to find what retail is talking about today.