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Cryptocurrency Price Prediction Using Deep Learning and Machine Learning

EasyChair Preprint no. 7394

10 pagesDate: January 30, 2022


A cryptocurrencies is a network-based computerized exchange that makes imitation and double-spending pretty much impossible. Many cryptocurrency are built on distributed networks based on blockchain technology, which is a distributed ledger enforced by a network of computers. Thanks to blockchain technology, transactions are secure, transparent, traceable, and immutable. As a result of these traits, cryptocurrency has increased in popularity, especially in the financial industry. This research looks at a few of the most popular and successful deep learning algorithms for predicting bitcoin prices. LSTM and random forest outperform our generalized regression neural architecture benchmarking system in terms of prediction. Bitcoin and Ethereum are the only cryptocurrencies supported. The approach can be used to calculate the value of a number of different cryptocurrencies.

Keyphrases: Bitcoin, Cryptocurrency, Ethereum, Long Short-Term Memory, price prediction, Random Forest

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {D Siddharth and Jitendra Kaushik},
  title = {Cryptocurrency Price Prediction Using Deep Learning and Machine Learning},
  howpublished = {EasyChair Preprint no. 7394},

  year = {EasyChair, 2022}}
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