TopStonks: Social Buzz and Sentiment from the Most Popular Stock and Crypto Trading Forums

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)

搜集汇总

背景与挑战

背景概述

该数据集汇总了自2019年以来Reddit的r/wallstreetbets和4Chan的/biz论坛中关于股票和加密货币交易的社交讨论数据，包含帖子与评论的全文、元数据及基于深度学习的情感分析。数据规模达10GB，存储于PostgreSQL数据库，已被《华尔街日报》等媒体引用，并为机构客户提供API服务。