White Papers|

Learning-to-Rank (LTR) for Quantitative Investing

Applying Diversity Theory to Quantitative Asset Ranking Models

Learn how AI-powered Learning-to-Rank (LTR) algorithms can optimise quantitative investment strategies.

Chances are you have used an AI-based Learning-to-Rank (LTR) algorithm in the last hour without even knowing about it.

Google Search and most of today’s search engines are equipped with LTR technologies, providing you with accurate results among hundreds of billions of web pages.

In this white paper, we introduce the concept of Learning-to-Rank and see how it can be applied to financial assets, with the end goal of building quantitative investment strategies.