Baselight

Finance Subreddits

Collections of posts of the major finance subreddits

@kaggle.paolodelia_finance_subreddits

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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
  • 6.7 MB
  • 21098 rows
  • 8 columns
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CREATE TABLE algotrading_subreddit (
  "unnamed_0" BIGINT,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" BIGINT,
  "score" BIGINT,
  "num_comments" BIGINT,
  "selftext" VARCHAR
);

Finance Subreddit

@kaggle.paolodelia_finance_subreddits.finance_subreddit
  • 26.75 MB
  • 216865 rows
  • 8 columns
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CREATE TABLE finance_subreddit (
  "unnamed_0" BIGINT,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" DOUBLE,
  "score" DOUBLE,
  "num_comments" DOUBLE,
  "selftext" VARCHAR
);

Investing Subreddit

@kaggle.paolodelia_finance_subreddits.investing_subreddit
  • 76.87 MB
  • 219504 rows
  • 8 columns
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CREATE TABLE investing_subreddit (
  "unnamed_0" BIGINT,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" DOUBLE,
  "score" DOUBLE,
  "num_comments" DOUBLE,
  "selftext" VARCHAR
);

Options Subreddit

@kaggle.paolodelia_finance_subreddits.options_subreddit
  • 17.8 MB
  • 59273 rows
  • 8 columns
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CREATE TABLE options_subreddit (
  "unnamed_0" BIGINT,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" BIGINT,
  "score" BIGINT,
  "num_comments" BIGINT,
  "selftext" VARCHAR
);

Stockmarket Subreddit

@kaggle.paolodelia_finance_subreddits.stockmarket_subreddit
  • 25.82 MB
  • 72620 rows
  • 8 columns
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CREATE TABLE stockmarket_subreddit (
  "unnamed_0" BIGINT,
  "id" VARCHAR,
  "title" VARCHAR,
  "url" VARCHAR,
  "created_utc" BIGINT,
  "score" BIGINT,
  "num_comments" BIGINT,
  "selftext" VARCHAR
);

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