The Efficient Market Hypothesis for Bitcoin in the context of neural networks

@article{Kraehenbuehl2022TheEM,
  title={The Efficient Market Hypothesis for Bitcoin in the context of neural networks},
  author={Mike Kraehenbuehl and Joerg Osterrieder},
  journal={ArXiv},
  year={2022},
  volume={abs/2208.07254}
}
This study examines the weak form of the efficient market hypothesis for Bitcoin using a feedforward neural network. Due to the increasing popularity of cryptocurrencies in recent years, the question has arisen, as to whether market inefficiencies could be exploited in Bitcoin. Several studies we refer to here discuss this topic in the context of Bitcoin using either statistical tests or machine learning methods, mostly relying exclusively on data from Bitcoin itself. Results regarding market ef… 

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