Dataset

retail-trader-sentiment

Indicators of retail investor mood and posting activity are drawn directly from the StockTwits community.

Dataset card

StockTwits retail trader sentiment is a commercial-licensed dataset from StockTwits that captures retail investor sentiment, message volume, and retail flow signals. It is tagged for sentiment analysis and retail flow tracking on a social trading platform.

What this dataset contains

The dataset is published by StockTwits, a social network oriented around retail traders who discuss individual equities and other instruments. It is positioned as a sentiment and retail-flow product, with tags indicating coverage of sentiment scores and message volume activity. No row counts, sample rows, or download statistics are provided in the source material.

Structure and fields

The source facts do not enumerate the column schema. Available metadata is limited to descriptive tags such as retail-flow, sentiment, and message-volume, without confirmed field names, data types, or split definitions. Analysts should request a current schema document from the publisher before integrating the data.

How analysts use it

If the underlying fields support ticker-level message volume and sentiment, the dataset could be used by long-short equity managers to track retail positioning, by event-driven funds to flag unusual chatter ahead of earnings, and by quantitative desks to construct sentiment or attention factors. These use cases are conditional on the schema actually exposing per-ticker sentiment and volume columns, which the provided facts do not confirm.

Documentation & references 2