Data Design Engineering

Traditional methods in predictive analysis rely mostly on fixed influencers that are related to the target’s field. However, we have found the traditional analysis methodologies inaccurate and unreliable. Through extensive feature extraction processes using massive volumes of data, we found and developed real-time influence mapping with unfixed influencers and tracing models to power predictive analysis. Our approach detects and predicts future direction and movement of each target with high accuracy and speed.

Stock & Index Prediction Platform

Unsatisfied with traditional stock analysis methodology that rely heavily on fixed influences, such as exchange rate and related industrial and financial indexes, DDE has developed an AI-based stock and index prediction platform. Proven by its successful prediction rates in Korea, China and Singapore, our stock and index prediction platforms employ a new analysis model based on real-time influence mapping with unfixed influencers with tracing model technologies to predict trading direction of target stocks.

Sports Prediction Platform

DDE's sports prediction platform employs our new analysis and prediction model based on real-time influence mapping with unfixed influencers with tracing model technologies to predict match results. The prediction platform, now available for Korean and European soccer leagues, gives users access to predicted match outcomes based on auto-updated influencers including player conditions and performances. The users can select players for each team to customise the matches they wish to predict the outcome of as well.