Using A Feed Forward Neural Network Algorithm to Predict Prices of Multiple Cryptocurrencies
Sina E. Charandabi, Kamyar Kamyar
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.
Topics & Concepts
CryptocurrencyComputer scienceArtificial neural networkArtificial intelligenceMachine learningEconometricsAlgorithmData miningEconomicsComputer securityBlockchain Technology Applications and SecurityStock Market Forecasting MethodsComplex Systems and Time Series Analysis