Semantic Folding Helps Improve Prediction of Stock Return Correlations

A recent academic study conducted by researchers from Leiden, Ben-Gurion and Toulouse Universities examined the performance of Cortical.io's Compared to the commonly used word-list method, Semantic Folding proved to have greater predictive power. Its other advantages were speed and ease of use. "Like the human brain, our Semantic Folding engine learns a language and understands the meaning of text by making analogies. Like the brain, it is both efficient and accurate. We are thrilled to see these compelling results confirmed by an independent academic study", comments Francisco Webber, inventor and co-founder of Cortical.io.