PsiPhiTheta/LSTM-Attention
A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
This project helps financial analysts and traders forecast financial time series data, such as stock prices or currency exchange rates. It takes historical market data as input and produces predictions about future price movements. This is designed for quantitative analysts, portfolio managers, and individual traders looking to enhance their market prediction models.
No commits in the last 6 months.
Use this if you are a financial professional or researcher interested in applying and comparing advanced deep learning techniques like LSTMs and attention mechanisms for market forecasting.
Not ideal if you are looking for a plug-and-play trading bot or an out-of-the-box solution without understanding the underlying model complexities.
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Dec 19, 2018
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