The QuantQuote Social Sentiment API captures the pulse of social media discussions around publicly traded stocks. By aggregating and scoring mentions across major social platforms, this endpoint provides a quantitative measure of both the volume and tone of retail investor conversations. Social sentiment has become an increasingly important signal for understanding short-term price movements and identifying stocks with unusual retail interest.
Each data point includes a timestamp, an activity rank relative to all tracked tickers, a raw activity score, and a sentiment score indicating the overall bullish or bearish tone. The data is updated regularly and is available for all major US-listed equities via a simple REST endpoint in JSON or CSV format.
Fetch social sentiment data for AAPL.
Click Generate JSON to fetch AAPL social sentiment data.
Each record in the sentiment_data array contains the following fields.
| Field | Name | Description |
|---|---|---|
| timestamp | Timestamp | The date and time at which the social sentiment data was recorded or aggregated. |
| activity_rank | Activity Rank | A numerical ranking of the stock's social media activity relative to other tickers, with lower numbers indicating higher activity. |
| activity | Activity | A raw measure of the volume of social media mentions and discussions about the stock during the given period. |
| sentiment | Sentiment | A numerical score representing the overall tone of social media discussions, where positive values indicate bullish sentiment and negative values indicate bearish sentiment. |