About this Research Topic
Improving our understanding of the cryptocurrency markets and performing successful cryptocurrency investments takes a considerable amount of time and skill. With the recent emergence of many artificial intelligence (AI) and machine learning (ML) tools, investors and traders are increasingly looking to develop more efficient mechanisms of investing. Both AI and ML are proving to be efficient in crypto markets as crypto investing is adopted by further institutional and individual investors.
Since cryptocurrencies are based on blockchain technology, both AI and ML can work alongside blockchain to tackle many of the existing challenges in the digital markets. One way in which AI and ML can be used for cryptocurrency investing includes improving the accuracy of trading forecasts by overcoming some of the uncertainty of cryptocurrency investing. Given the recent technological developments, investors are able to predict significant events in the cryptocurrency markets and make better-informed investment decisions. Nowadays researchers collect large sets of data which in turn provides valuable insights into many digital assets.
Researchers, developers, and investors use AI and ML to develop efficient forecasting models to analyze 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 inclusion of both AI and ML in blockchain technology makes 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 anything of value. Since blockchain technology enables data to be kept and shared in a secure way, AI and ML can be implemented as a tool to analyze and generate insights from historical and real-time cryptocurrency data to generate value. Many blockchain transactions can also indicate behavioral patterns to help determine the drivers in the cryptocurrency markets.
This Research Topic aims to highlight new advancements in AI and ML for cryptocurrency forecasting so that institutional and individual investors will then be able to generate more accurate forecasts on cryptocurrencies.
Topics of interest include:
• Forecasting cryptocurrency markets by using traditional econometric techniques.
• Forecasting cryptocurrency markets by using AI and ML.
• Comparison of the predictive abilities of traditional econometric techniques and AI and ML tools.
• Using cryptocurrency markets to predict the future of the crypto industry.
• Using AI and ML to forecast volatility in digital markets.
• Forecasting cryptocurrency fluctuations based on user posts and comments.
Since cryptocurrencies are based on blockchain technology, both AI and ML can work alongside blockchain to tackle many of the existing challenges in the digital markets. One way in which AI and ML can be used for cryptocurrency investing includes improving the accuracy of trading forecasts by overcoming some of the uncertainty of cryptocurrency investing. Given the recent technological developments, investors are able to predict significant events in the cryptocurrency markets and make better-informed investment decisions. Nowadays researchers collect large sets of data which in turn provides valuable insights into many digital assets.
Researchers, developers, and investors use AI and ML to develop efficient forecasting models to analyze 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 inclusion of both AI and ML in blockchain technology makes 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 anything of value. Since blockchain technology enables data to be kept and shared in a secure way, AI and ML can be implemented as a tool to analyze and generate insights from historical and real-time cryptocurrency data to generate value. Many blockchain transactions can also indicate behavioral patterns to help determine the drivers in the cryptocurrency markets.
This Research Topic aims to highlight new advancements in AI and ML for cryptocurrency forecasting so that institutional and individual investors will then be able to generate more accurate forecasts on cryptocurrencies.
Topics of interest include:
• Forecasting cryptocurrency markets by using traditional econometric techniques.
• Forecasting cryptocurrency markets by using AI and ML.
• Comparison of the predictive abilities of traditional econometric techniques and AI and ML tools.
• Using cryptocurrency markets to predict the future of the crypto industry.
• Using AI and ML to forecast volatility in digital markets.
• Forecasting cryptocurrency fluctuations based on user posts and comments.
Keywords: cryptocurrency forecasting, econometric forecasting, artificial intelligence, machine learning, cryptocurrency markets
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
