Stock-LSTM-Forecasting

Stock-LSTM-Forecasting

AmirhosseinHonardoust

Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with early stopping, and evaluation with RMSE/MAE/MAPE. Includes visualizations of training loss, predicted vs actual prices, and short-horizon forecasts.

40 Stars
0 Forks
40 Watchers
Python Language
mit License
100 SrcLog Score
Cost to Build
$11.6K
Market Value
$18.7K

Growth over time

1 data points  ·  2026-04-08 → 2026-04-08
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What is the AmirhosseinHonardoust/Stock-LSTM-Forecasting GitHub project? Description: "Predict stock prices using LSTM networks in PyTorch. This project covers data preprocessing, sliding window creation, model training with early stopping, and evaluation with RMSE/MAE/MAPE. Includes visualizations of training loss, predicted vs actual prices, and short-horizon forecasts.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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