What are the challenges and limitations of using machine learning in crypto trading?

1 answers

• Anrik GaborMay 16, 2021 · 4 years ago
  At BYDFi, we recognize the challenges and limitations of using machine learning in crypto trading. While machine learning can provide valuable insights and improve trading strategies, it is not a magic solution. One of the main challenges is the lack of interpretability. Machine learning models often work as black boxes, making it difficult to understand how they arrive at their predictions. This can be a concern for traders who want to have a clear understanding of the underlying factors driving their trading decisions. Additionally, machine learning models require continuous monitoring and fine-tuning to adapt to changing market conditions. This can be time-consuming and require a significant investment in computational resources. Lastly, machine learning models are not foolproof and can still make incorrect predictions. Therefore, it is important to use machine learning as a tool in combination with human expertise and other analytical methods to mitigate the risks and limitations associated with its use in crypto trading.
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