2023
DOI: 10.1051/e3sconf/202339101112
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A Cryptocurrency Price Prediction Model using Deep Learning

Akila V.,
Nitin M.V.S.,
Prasanth I.
et al.

Abstract: Cryptocurrencies have gained immense popularity in recent years as an emerging asset class, and their prices are known to be highly volatile. Predicting cryptocurrency prices is a difficult task due to their complex nature and the absence of a central authority. In this paper, our proposal is to employ Long Short-Term Memory (LSTM) networks, a type of deep learning technique to forecast the prices of cryptocurrencies. We use historical price data and technical indicators as inputs to the LSTM model, which lear… Show more

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