Machine learning for cryptocurrency market prediction and trading
Year of publication: |
2022
|
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Authors: | Jaquart, Patrick ; Köpke, Sven ; Weinhardt, Christof |
Published in: |
The Journal of finance and data science : JFDS. - Amsterdam [u.a.] : Elsevier, ISSN 2405-9188, ZDB-ID 2837532-4. - Vol. 8.2022, p. 331-352
|
Subject: | Financial market prediction | Gradient boosting | GRU | LSTM | Machine learning | Market efficiency | Neural network | Random forest | Statistical arbitrage | Temporal convolutional neural network | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Künstliche Intelligenz | Artificial intelligence | Effizienzmarkthypothese | Efficient market hypothesis |
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