RIDE is currently involved with a few projects. Find out more about them below.
Semantic Completions: Unifying the wave and the Particle Views of Information
The main contribution from RIDE to this project is the extension of the theory of algorithmic complexity to probability-free prediction.
Market manipulation and abuse in cryptocurrencies and other electronic markets
The main contribution from RIDE to this project is the definition of market manipulation in a way that can be tested using empirical data. The goal is infer the extent to which electronic markets are prone to illegal practices such as spoofing.
Online Machine Learning for Effective Market Making Pricing and Risk Management Hedging Strategies
This is a joint project with Algolabs: see http://algolabs.com/PhD.htm.