Cryptocurrency price analysis using Artificial Intelligence

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Ch.Sai Chand; K.Prasanna; G.Nikitha

Cryptocurrency price analysis using Artificial Intelligence

Authors: Ch.Sai Chand, K.Prasanna, G.Nikitha

Unique Paper ID: 162988
Volume: 10
Issue: 11
PageNo: 569-578

Keywords: AI Crypto currency ANN LSTM.

Abstract:
Cryptocurrency is playing an increasingly important role in reshaping the financial system due to its growing popular appeal and merchant acceptance. While many people are making investments in Cryptocurrency , the dynamical features, uncertainty, the predictability of Cryptocurrency are still mostly unknown, which dramatically risk the investments . It is a matter to try to understand the factors that influence the value formation. In this study, we use advanced artificial intelligence frameworks of fully connected Artificial Neural Network(ANN) and Long Short-Term Memory (LSTM) Recurrent Neural Network to analysis the price dynamics of Bitcoin, Ethereum, and Ripple. We find that ANN tends to rely more on long-term history while LSTM tends to rely more on short-term dynamics, which indicate the efficiency of LSTM to utilize useful information hidden in historical memory is stronger than ANN . However, given enough historical information ANN can achieve a similar accuracy, compared with LSTM. This study provides a unique demonstration that Cryptocurrency market price is predictable. However, the explanation of the predictability could vary depending on the nature of the involved machine-learning model

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ISSN: 2349-6002
Volume: 10
Issue: 11
PageNo: 569-578

Cryptocurrency price analysis using Artificial Intelligence

Available:https://ijirt.org/article?manuscript=162988

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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