README.md

metadata

language:
  - en
license: other
task_categories:
  - tabular-regression
features:
  - name: symbols
    dtype: string
  - name: datetime
    dtype: string
  - name: title
    dtype: string
  - name: url
    dtype: string
  - name: authors
    dtype: string
  - name: summary
    dtype: string
  - name: source
    dtype: string
  - name: topics
    dtype: string
  - name: sentiment
    dtype: string
  - name: symbol_sentiment
    dtype: string
extra_gated_prompt: >-
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Dataset Information

This dataset includes daily rates data for various bonds.

Instruments Included

Stocks, ETFs, Forex, Cryptocurrencies, Commodities and more.

Dataset Columns

• symbols: The symbols in the news, typically representing stock tickers or other financial instruments mentioned in the article.
• datetime: The date and time when the news article was published, formatted as a string.
• title: The title of the news article, providing a brief and descriptive summary of the content.
• url: The web address (URL) where the news article is hosted, allowing for direct access to the full text.
• authors: The names of the authors who wrote the article, often listed as a comma-separated string if there are multiple authors.
• summary: A brief summary or abstract of the article's content, capturing the main points discussed in the news.
• source: The name of the media outlet or organization that published the news article, indicating the origin of the information.
• topics: The key topics or themes covered in the article, often represented as a comma-separated string of keywords.
• sentiment: The overall sentiment of the article's content, typically categorized as positive, negative, or neutral, indicating the tone of the news.
• symbol_sentiment: The sentiment associated specifically with the symbols mentioned in the article, reflecting the sentiment toward those financial instruments.

Data Splits

The data is split into a training set.

Dataset Maintenance

The dataset is updated on a monthly basis by Papers With Backtest.