Because we have the largest, most complete data set from the notorious r/wallstreetbets and 4Chan /Biz back to 2019, our data has been regularly featured in the WSJ in stories in the WSJ, Forbes, and other major publications.
This product includes:
-API for institutional clients -Comment counts by crypto ticker -Comment sentiment analysis: deep-learning-trained using advanced ensemble modelsThe latest iteration of our product includes:
Full text and metadata of every post and comment, structured and searchable:
-Time: date and time to the second -Ticker: crypto ticker -Mentions: each time ticker is referenced -Comments: each comment in which ticker is referenced -Posts: posts referencing ticker (highest level)
DATA: 10 GB of comment data STORAGE: Housed in a PostgreSQL database 4CHAN POSTS: Time/Date, comment, number of child comments (if applicable) TWITCH COMMENTS: Time/Date, comment
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Because we have the largest, most complete data set from the notorious r/wallstreetbets and 4Chan /Biz back to 2019, our data has been regularly featured in the WSJ in stories in the WSJ, Forbes, and other major publications.
This product includes:
-API for institutional clients -Comment counts by crypto ticker -Comment sentiment analysis: deep-learning-trained using advanced ensemble modelsThe latest iteration of our product includes:
Full text and metadata of every post and comment, structured and searchable:
-Time: date and time to the second -Ticker: crypto ticker -Mentions: each time ticker is referenced -Comments: each comment in which ticker is referenced -Posts: posts referencing ticker (highest level)
DATA: 10 GB of comment data STORAGE: Housed in a PostgreSQL database 4CHAN POSTS: Time/Date, comment, number of child comments (if applicable) TWITCH COMMENTS: Time/Date, comment