Bitcoin Price Prediction

This work aims to assess the ability of machine learning to predict Bitcoin price direction based on time series. Although manystudies look at time series forecasting with machine learning, only a few are dedicated to Bitcoin. Due to the fact that Bitcoin isgoing through a key stage and majorly fluctuates when compared to the US dollar, its prediction is not easy. Because Bitcoin hasled the way in four of the last five years, predicting its future has become very valuable to people. Previously, researchers havefound that models run on GPUs are much faster than those run on CPUs. This research studies this area by comparing the training performance of RNNs and LSTMs using GPUs and CPUs. The research uses a Random Forest model to see how differentindependent variables help predict where Bitcoin’s price will move. A reliable forecast of Bitcoin’s movement may assist traders in finding positive trading chances.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-21
DOI
https://doi.org/10.5281/zenodo.15482305
Primary Topic
Powder Metallurgy Techniques and Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Bitcoin Price Prediction

Zenodo (CERN European Organization for Nuclear Research)
Powder Metallurgy Techniques and Materials
article

Bitcoin Price Prediction

article en

Abstract

This work aims to assess the ability of machine learning to predict Bitcoin price direction based on time series. Although manystudies look at time series forecasting with machine learning, only a few are dedicated to Bitcoin. Due to the fact that Bitcoin isgoing through a key stage and majorly fluctuates when compared to the US dollar, its prediction is not easy. Because Bitcoin hasled the way in four of the last five years, predicting its future has become very valuable to people. Previously, researchers havefound that models run on GPUs are much faster than those run on CPUs. This research studies this area by comparing the training performance of RNNs and LSTMs using GPUs and CPUs. The research uses a Random Forest model to see how differentindependent variables help predict where Bitcoin’s price will move. A reliable forecast of Bitcoin’s movement may assist traders in finding positive trading chances.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Powder Metallurgy Techniques and Materials
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