• Corpus ID: 14217274

Automated Bitcoin Trading via Machine Learning Algorithms

@inproceedings{Madan2014AutomatedBT,
  title={Automated Bitcoin Trading via Machine Learning Algorithms},
  author={Isaac Madan},
  year={2014}
}
In this project, we attempt to apply machine-learning algorithms to predict Bitcoin price. For the first phase of our investigation, we aimed to understand and better identify daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price. Our data set consists of over 25 features relating to the Bitcoin price and payment network over the course of five years, recorded daily. Using this information we were able to predict the sign of the daily price… 
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References

Bayesian regression and Bitcoin
  • D. Shah, Kang Zhang
  • Computer Science, Mathematics
    2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)
  • 2014
TLDR
The method of Bayesian regression and its efficacy for predicting price variation of Bitcoin, a recently popularized virtual, cryptographic currency, is discussed and a simple strategy for trading Bitcoin is devised.