Name: Finance Subreddits
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Finance Subreddits

Context

Interested in text data about financial topics? That's the dataset for you! In this dataset, I've group posts from the major finance subreddits (r/investing, r/finance, r/options, ...)

Content

Reddit posts from various subreddits, downloaded using praw (The Python Reddit API Wrapper) and the pushshift API.

Inspiration

How can I use all this data?

Perform sentiment analysis, such as detecting fear or hype in the market
Topic modeling
Follow the trends
and all kind of other tasks related to NLP

Tables

Algotrading Subreddit

@kaggle.paolodelia_finance_subreddits.algotrading_subreddit

7.02 MB
21,098 rows
8 columns

CREATE TABLE algotrading_subreddit (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" BIGINT,
  "score" BIGINT,
  "num_comments" BIGINT,
  "selftext" VARCHAR
);

Finance Subreddit

@kaggle.paolodelia_finance_subreddits.finance_subreddit

28.05 MB
216,865 rows
8 columns

CREATE TABLE finance_subreddit (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" DOUBLE,
  "score" DOUBLE,
  "num_comments" DOUBLE,
  "selftext" VARCHAR
);

Investing Subreddit

@kaggle.paolodelia_finance_subreddits.investing_subreddit

80.61 MB
219,504 rows
8 columns

CREATE TABLE investing_subreddit (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" DOUBLE,
  "score" DOUBLE,
  "num_comments" DOUBLE,
  "selftext" VARCHAR
);

Options Subreddit

@kaggle.paolodelia_finance_subreddits.options_subreddit

18.66 MB
59,273 rows
8 columns

CREATE TABLE options_subreddit (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" BIGINT,
  "score" BIGINT,
  "num_comments" BIGINT,
  "selftext" VARCHAR
);

Stockmarket Subreddit

@kaggle.paolodelia_finance_subreddits.stockmarket_subreddit

27.08 MB
72,620 rows
8 columns

CREATE TABLE stockmarket_subreddit (
  "unnamed_0" BIGINT  -- Unnamed: 0,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" BIGINT,
  "score" BIGINT,
  "num_comments" BIGINT,
  "selftext" VARCHAR
);