Predictive  Analytics for Cryptocurrency Market Trends Using LSTM  Models

Shefali Madan,Sanjay,Amisha Bathla ,Mahaveer Prasad Sharma

Predictive Analytics for Cryptocurrency Market Trends Using LSTM Models

Authors

Shefali Madan,Sanjay,Amisha Bathla ,Mahaveer Prasad Sharma

Keywords:

Abstract

This study presents a predictive analytics framework for forecastingcryptocurrency market trends using Long Short-Term Memory (LSTM) networks.Leveraging historical price data, trading volumes, and market indicators, the LSTM model captures

References

Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System

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Published

2024-04-15

How to Cite

Shefali Madan,Sanjay,Amisha Bathla ,Mahaveer Prasad Sharma. (2024). Predictive Analytics for Cryptocurrency Market Trends Using LSTM Models . Journal of Computational Analysis and Applications (JoCAAA), 33(4), 994–1012. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4387