Seoul National University College of Engineering (Dean Kookheon Char) announced on June 29 that deep trade.co, composed of Professor U Kang's team of the Department of Computer Science and Engineering will have its paper "Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts," being presented at KDD 2021, one of the best international conferences in the field of artificial intelligence.
 
In the paper, DeepTrade proposed a technology that accurately predicts stock price movements using deep learning and showcased world-class performance that is ahead of all existing techniques in predictive accuracy for major stock markets around the world, including for those of the U.S., China, Japan, and the U.K.
 
Predicting stock prices is the most difficult problem in the field of artificial intelligence, and DeepTrade has proposed sophisticated techniques that make up to 13.8% or more of profits a year than conventional techniques by utilizing the correlation of stock prices.
 
This is the first time that a Korean company has presented a paper on stock price prediction at the best international artificial intelligence conference.
 
Meanwhile, through this feat, DeepTrade has been able to publicize the excellence of its research capabilities at home and abroad, and DeepTrade's paper will be presented at the KDD 2021 conference held in August.
 
Deep Trade is a start-up that provides artificial intelligence-based stock services, and has recently completed the development of X Percent, an artificial intelligence-based stock price prediction service, and will soon launch official self-service and collaboration services with security firms and IT companies.