gonzalopezgil/xlstm-ts
Optimised Extended LSTM for time-series forecasting
This project helps financial analysts and traders predict short-term stock market trends using historical stock price data. It takes daily or hourly price series for a stock or index (like S&P 500 or EWZ) and outputs forecasts for future price movements. This is designed for professionals who need to anticipate market direction for investment decisions.
No commits in the last 6 months.
Use this if you need to forecast short-term stock market trends and want to leverage advanced deep learning models, including a specialized Extended LSTM, alongside wavelet denoising for improved accuracy.
Not ideal if you are looking for long-term investment strategies or require predictions for asset classes other than stocks and indices.
Stars
40
Forks
14
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 16, 2024
Commits (30d)
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