AI4Finance-Foundation / FinNLP

Democratizing Internet-scale financial data.
https://ai4finance.org
MIT License
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FinNLP: Internet-scale Financial Data

Downloads Downloads Python 3.8 PyPI License

FinNLP provides a playground for all people interested in LLMs and NLP in Finance. Here we provide full pipelines for LLM training and finetuning in the field of finance.

Visitors

Ⅰ. How to Use

1. News

2. Social Media

3. Company Announcement

Ⅱ. Data Sources

1. News

Platform Data Type Related Market Specified Company Range Type Limits Support
Yahoo Financial News US Stocks Date Range N/A
Reuters General News US Stocks × Date Range N/A Soon
Seeking Alpha Financial News US Stocks Streaming N/A
Sina Financial News CN Stocks × Date Range N/A
Eastmoney Financial News CN Stocks Date Range N/A
Yicai Financial News CN Stocks Date Range N/A Soon
CCTV General News CN Stocks × Date Range N/A
US Mainstream Media Financial News US Stocks Date Range Account (Free)
CN Mainstream Media Financial News CN Stocks × Date Range Account (¥500/year)

2. Social Media

Platform Data Type Related Market Specified Company Range Type Source Type Limits Support
Twitter Tweets US Stocks Date Range Official N/A
Twitter Sentiment US Stocks Date Range Third Party N/A
StockTwits Tweets US Stocks Lastest Official N/A
Reddit (wallstreetbets) Threads US Stocks × Lastest Official N/A
Reddit Sentiment US Stocks Date Range Third Party N/A
Weibo Tweets CN Stocks Date Range Official Cookies
Weibo Tweets CN Stocks Lastest Official N/A

3. Company Announcement

Platform Data Type Related Market Specified Company Range Type Source Type Limits Support
Juchao (Official Website) Text CN Stocks Date Range Official N/A
SEC (Official Website) Text US Stocks Date Range Official N/A
Sina Text CN Stocks Lastest Third Party N/A

4. Data Sets

Data Source Type Stocks Dates Available
AShare News 3680 2018-07-01 to 2021-11-30
stocknet-dataset Tweets 87 2014-01-02 to 2015-12-30
CHRNN Tweets 38 2017-01-03 to 2017-12-28

Ⅲ. Large Language Models (LLMs)

LICENSE

MIT License

Disclaimer: We are sharing codes for academic purposes under the MIT education license. Nothing herein is financial advice, and NOT a recommendation to trade real money. Please use common sense and always first consult a professional before trading or investing.