A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy
Year of publication: |
2022
|
---|---|
Authors: | Baranochnikov, Illia ; Ślepaczuk, Robert |
Publisher: |
Warsaw : University of Warsaw, Faculty of Economic Sciences |
Subject: | deep learning | recurrent neural networks | algorithm | trading strategy | LSTM | GRU | walk-forward process | Neuronale Netze | Neural networks | Algorithmus | Algorithm | Theorie | Theory | Anlageverhalten | Behavioural finance | Portfolio-Management | Portfolio selection | Finanzanalyse | Financial analysis | Künstliche Intelligenz | Artificial intelligence |
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