Artificial Intelligence (AI) approaches have been increasingly used in financial markets as
technology advances. In this research paper, we conduct a Systematic Literature Review …

Abstract Machine learning on blockchain graphs is an emerging field with many applications
such as ransomware payment tracking, price manipulation analysis, and money laundering …

Recently, various methods to predict the future price of financial assets have emerged. One
promising approach is to combine the historic price with sentiment scores derived via …

Purpose This paper aims to investigate the role of price-based information from major
cryptocurrencies, foreign exchange, equity markets and key commodities in predicting the …

A virtual currency known as cryptocurrencies holds all business online. It's virtual money that
wouldn't materialize like complicated conventional paper currency. Thus, this study …

This paper identifies hidden patterns between trading volumes and the market value of an
asset. Based on open market data, we try to improve the existing corpus of research using …

The rapid growth of the stock market has attracted many investors due to its potential for
significant profits. However, predicting stock prices accurately is difficult because financial …

The decentralised nature of cryptocurrency, coupled with its potential for significant financial
returns, has elevated its status as a sought-after investment opportunity on a global scale …

Despite their recent inception, cryptocurrencies have become globally recognized for their
dispersal, diversity, and high market capitalization. This volatility developed into a challenge …

Neural networks (NNs) are well established and widely used in time series forecasting due
to their frequent dominance over other linear and nonlinear models. Thus, this paper does …