The machine (or deep) learning support of the developed proprietary simulation engine with full-depth ("L3 MBO") order-book reconstruction allows optimality for several kinds of (even multivariate) trading strategies, especially at ultra-high frequency. The SaaS system known as AlgoStakes® also allows for best execution and analysis. Core services provided include (1) market making at both centralized and de-centralized exchanges, (2) best available execution of large position changes, and (3) dynamic automatized fund optimization with detailed reporting (PDF). These services and infrastructure may be licensed from RR or its collaborative quantitative teams.
RR are seeking great people to join or collaborate. Currently seeking talent in:
1. (BUSINESS) Individuals highly motivated to scale up the project, especially with significant digital asset background and understanding of technology.2. (RESEARCH) Quantitative researchers interested in developing trading algorithms using the platform in collaboration. Scala, Py, R, C++.
3. (FRONTEND) Skilled and well-communicating individuals to rewrite the platform frontend in collaboration with UX designers.