Articlediamond2021

Using A Feed Forward Neural Network Algorithm to Predict Prices of Multiple Cryptocurrencies

31 citations0/0 files storedEuropean Journal of Business Management and Research

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Stock Market Forecasting Methods Blockchain Technology Applications and Security Forecasting Techniques and Applications

Abstract

This paper initially presents a nontechnical overview of cryptocurrency, its history, and the technicalities of its usage as a means of exchange. Bitcoin’s working methodology and mathematical baseline is further presented in more depth. For the remaining majority of the paper, recent cryptocurrency price data of Bitcoin, Ethereum, Tether, Dogecoin, and Binance coin was used to train a machine learning model of Feed Forward Neural Networks to predict future prices for each of the datasets. Further and in conclusion, the results are discussed, and the efficiency and accuracy of these models are evaluated.

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References

2003Modeling and Forecasting Realized Volatility 2021US-China Tariff War: A Gravity Approach

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2022Cryptocurrency Price Prediction with Neural Networks of LSTM and Bayesian Optimization

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