KittenCN/stock_prediction

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks

55
/ 100
Established

This project helps financial analysts, traders, and quantitative researchers predict stock prices by taking raw market data from sources like Yahoo Finance or Akshare. It then processes this data, creates advanced features, and trains various machine learning models to forecast future stock movements. The output includes predicted stock prices, performance charts, and evaluation metrics.

357 stars.

Use this if you need to build, train, and evaluate sophisticated stock prediction models using a wide range of machine learning techniques without writing all the data plumbing from scratch.

Not ideal if you are looking for ready-to-use trading signals or a simple, off-the-shelf prediction tool that doesn't require any technical setup.

stock-trading financial-forecasting quantitative-finance market-analysis algorithmic-trading
No Package No Dependents
Maintenance 6 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

How are scores calculated?

Stars

357

Forks

86

Language

Python

License

GPL-3.0

Last pushed

Oct 20, 2025

Commits (30d)

0

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