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

Because we have the largest, most complete data set from the notorious r/wallstreetbets (and 4Chan's /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 ticker -Cryptocurrencies -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:

-User: u/user on Reddit (with upvotes) -Time: date and time to the second -Ticker: stock 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 REDDIT POSTS: User, Time/Date, Number of comments, type of post, text, score REDDIT COMMENTS: Reddit u/ of the comment/post, date/time, text/body, the comment score, the post that the comment was linked to, and all the associated relational data 4CHAN POSTS: Time/Date, comment, number of child comments (if applicable)

Because we have the largest, most complete data set from the notorious r/wallstreetbets (and 4Chan's /Biz) back to 2019, our data has been regularly featured in the WSJ in stories in the WSJ, Forbes, and other major publications. The latest iteration of our product includes:

-API for institutional clients -Crypto -Sentiment analysis: deep-learning-trained using advanced ensemble models

Full text and metadata of every post and comment, structured and searchable:

-User: u/user on Reddit (with upvotes) -Time: date and time to the second -Text: full body of comment/post -Ticker: stock 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 REDDIT POSTS: User, Time/Date, Number of comments, type of post, text, score REDDIT COMMENTS: Reddit u/ of the comment/post, date/time, text/body, the comment score, the post that the comment was linked to, and all the associated relational data 4CHAN POSTS: Time/Date, comment, number of child comments (if applicable)