Artificial Intelligence

    

An Approach to Identify Machine Learning and Deep Learning Methods and Data to Understand Common Time Variant Models That Can Forecast Both Crypto Currencies and Equities

Authors: Sanath Shenoy

Cryptocurrencies and Equity markets have been the most attractive investment in the modernworld. While these are very attractive, they have been subject to a lot of volatility in their behaviour due to multiple reasons, such as macroeconomic conditions and regulation in various economic activities within countries and the world as a whole. There has been minimal research in this area to use Machine learning and deep learning approach to help predict the price of cryptocurrency and equities and other behaviours. There has also been very minimal research to understand the relationship on whether the change in the value of equities has an effect on the value of cryptocurrencies and vice versa. These effects are due to correlational causal or any other kind of relationship between the values of both the investment asset classes. This research aims to identify models based on Machine learning and deep learning that can predict the price or value of cryptocurrencies and equities.

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[v1] 2026-02-03 20:52:10

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