Recent Computational Techniques to Forecast Cryptocurrency Markets

Dear Colleagues,

Gaining a better understanding of the cryptocurrency markets and making successful cryptocurrency investments requires considerable time and skills. With the recent emergence of more advanced artificial intelligence (AI) and machine learning (ML) tools, investors and traders are increasingly seeking to develop more efficient investment mechanisms. Both AI and ML are proving to be efficient in crypto markets, as an increasing number of institutional and individual investors are adopting crypto investing.

Since cryptocurrencies are based on blockchain technology, AI and ML can work in tandem with blockchain to address numerous challenges in the digital market. One way in which AI and ML can be utilised for cryptocurrency investing by both institutional and individual investors is to provide more accurate trading forecasts.

Both AI and ML can help mitigate the uncertainty associated with cryptocurrency investing. Given recent technological developments, investors can now predict significant events in the cryptocurrency market and make more informed investment decisions. Currently, researchers collect large datasets, which in turn provide valuable insights into various digital assets.

Researchers, developers, and investors utilise both AI and ML to develop efficient forecasting models that analyse historical cryptocurrency market data and generate more accurate predictions related to a particular cryptocurrency's price at any given date and time in the future.

Moreover, the integration of both AI and ML into blockchain technology creates an even more powerful combination for cryptocurrency market forecasting. It is a well-known fact that blockchain keeps a digital record of not only transactions but also of anything of value. Since blockchain technology enables data to be kept and shared securely, AI and ML can be implemented as tools to analyse and generate insights from historical and real-time cryptocurrency data, thereby generating value. Many blockchain transactions can also indicate behavioural patterns to help determine the drivers in the cryptocurrency markets. Consequently, institutional and individual Investors will then be able to generate more accurate forecasts on cryptocurrencies.

Dr. Viktor Manahov
Guest Editor

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• cryptocurrencies
• blockchain
• artificial intelligence
• machine learning