Natural Language Dataset for Finance

The demos will be shown in ChatGPT for FinTech

Disclaimer: We are sharing codes for academic purpose 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.

Ⅰ. Data sources

1. News

2. Social Media

3. Trends

4. Company Announcement

5. Data Sets

4. Other resources

• [Github] Google Trends Data for automated stock trading using Reinforcement learning.

Ⅱ. Large Language Models (LLM)

• GPT-3
• PaML
• FinBERT

Ⅲ. Files Structure

- demo
- finnlp
    - data_sources
        - _base.py
        - __init__.py
        - news
            - akshare_cctv.py
            - sina_finance.py
            - tushare.py
        - social_media
            - stocktwits.py
            - twitter.py
            - weibo.py
        - trends
            - baidu.py
            - google.py
    - large_language_models
        - __init__.py
        - embeddings
            - bert.py
            - finbert.py
        - sentiment
            - gpt3.py
            - paml.py
- .... 

Ⅳ. Roadmaps

1. Connect to existed News sources (新闻联播/Financial media..)

2. Connect to Google Trends / Baidu Index

3. Connect to Twitter / Weibo