Bitcoin Price Predictive Modeling Using Expert Correction
@article{Pavlyshenko2019BitcoinPP, title={Bitcoin Price Predictive Modeling Using Expert Correction}, author={Bohdan M. Pavlyshenko}, journal={2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT)}, year={2019}, pages={163-167} }
The paper describes the linear model for Bitcoin price which includes regression features based on Bitcoin currency statistics, mining processes, Google search trends and Wikipedia pages visits. The pattern of deviation of regression model prediction from real prices is simpler comparing to price time series. It is assumed that this pattern can be predicted by an experienced expert. In such a way, using the combination of the regression model and expert correction, one can receive better…
One Citation
Analytics of Business Time Series Using Machine Learning and Bayesian Inference
- Computer ScienceArXiv
- 2022
It is shown that Bayesian approach makes it possible to utilize the probabilistic approach using distributions with fat tails and take into account the outliers in Bitcoin price time series.
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