Core Research

  • Reinforcement Learning
  • Anomaly Detection
  • Financial Embedding
  • Portfolio Optimization
  1. Reinforcement Learning: Reinforcement Learning (RL) is a powerful branch of artificial intelligence that allows our models to make optimal decisions in complex environments. By learning from past actions and their outcomes, our RL algorithms constantly adapt and improve, leading to intelligent systems that can solve sophisticated problems.
  2. Anomaly Detection: Anomaly Detection harnesses the power of AI to identify unusual patterns in data that could signify important events or issues. By flagging these anomalies, we can anticipate and react to market shifts, security threats, and more, ensuring our strategies are resilient and responsive.
  3. Financial Embedding: In the field of Financial Embedding, we use AI to represent financial entities and their relationships in a mathematical space, or ’embedding’. This technology enables us to analyze complex market dynamics, decode hidden patterns, and forecast future trends with unprecedented accuracy.
  4. Portfolio Optimization: Through the use of AI in Portfolio Optimization, we can construct optimal investment portfolios that maximize returns and minimize risk. Our AI models consider a multitude of factors and scenarios, enabling us to make robust, data-driven decisions that align with our investors’ goals and risk tolerance.