ZihanChen1995/ChatGPT-GNN-StockPredict

This repository houses the datasets/resources used in paper "ChatGPT Informed Graph Neural Network for Stock Movement Prediction". Dive in to find the datasets, code samples, and more!

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This project provides datasets for predicting stock price movements and constructing investment portfolios. It leverages financial news, processed by ChatGPT for insights into affected companies and sentiment, to train and evaluate Graph Neural Networks. Investment analysts, portfolio managers, and quantitative traders can use this to inform their stock selection and portfolio strategies.

No commits in the last 6 months.

Use this if you are a quantitative researcher or financial analyst looking for structured datasets to develop or test AI models for stock market prediction and portfolio optimization.

Not ideal if you are a retail investor seeking a ready-to-use application for making investment decisions without any programming or model building.

quantitative-finance stock-prediction portfolio-management financial-news-sentiment algorithmic-trading
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 15 / 25

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50

Forks

8

Language

Jupyter Notebook

License

MIT

Last pushed

Sep 18, 2023

Commits (30d)

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