Research on Strategy Discovery and Optimisation of an Intelligent Option Trading System

Abstract

'Blue Ocean' is a term that refers to an unexploited or uncontested market space. AI, machine learning and Big Data has presented a range of technologies for exploring Blue Ocean market spaces. For example, in the world of financial technology (fintech) introducing new investment strategies could have an impact on investment opportunities. Professor Chien-Feng Huang, Department of Computer Science and Information Engineering, National University of Kaohsiung, Taiwan, conducts novel research to discover and optimise an intelligent option trading system. In one line of research, he is working to solve the problem of combining different strategies to generate generalised models to tackle various financial circumstances while investing. A feasible way to do this, according to the studies of Huang and his team, is to utilise AI-based optimisation methodologies. Through their studies, the researchers are seeking to advance the research and applications of fintech and discover more efficient and effective investment models to create blue ocean strategies within finance. Huang is also working on autonomous self-evolving forecasting models for price movement in high frequency trading (HFT). He and his team have developed novel AI-based models for forecasting price movement in HFT and found that their proposed methods can increase the prediction accuracy for HFT price movement and advance the current state of HFT research. Huang has had encouraging results so far with the stock selection models, pairs-trading models and options-trading models developed and deployed in the market proving viable.