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
Combines multi-scale architectures (TemporalHybridNet, PTFT+Variational SSM, Diffusion, Graph) with a complete data pipeline supporting tushare/akshare/yfinance ingestion, automatic feature engineering (log returns, macro/sentiment exogenous variables, stock embeddings), and per-symbol normalization. Provides unified PyTorch training with 10+ model variants, automatic evaluation metrics (RMSE, MAPE, quantile coverage, VaR), and consistent inference workflows with serialized normalization parameters.
357 stars.
Stars
357
Forks
86
Language
Python
License
GPL-3.0
Category
Last pushed
Oct 20, 2025
Commits (30d)
0
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