Simudyne Horizon is an AI-native, multi-asset market simulator that empowers financial institutions to model, train, and test advanced trading strategies and risk frameworks across extended timeframes and complex asset classes
AI-Powered Trading
Simudyne Horizon is the most advanced simulation platform for capital markets professionals seeking to integrate AI with multi-asset strategy development. Built for asset managers, quant hedge funds, and brokers, Horizon supports modelling multiple asset classes, over timeframes spanning days to months. Seamlessly integrating with reinforcement learning and generative AI models, it provides a hyper-realistic, adaptive environment where agents can safely train and optimise strategies without risking capital. Horizon produces synthetic data that mirrors real-world market dynamics, making it ideal for risk modelling, hedging, compliance stress testing, and exploratory algorithmic development. By combining scalable cloud integration with Red Hat OpenShift and direct access to LSEG’s tick data, Simudyne Horizon is more than a simulation tool—it’s a catalyst for innovation in institutional finance
AI-Driven Multi-Asset Simulation
Model and test complex, cross-asset strategies over extended horizons using adaptive AI and realistic synthetic data.
Built for Quant Innovation
From RL agents to GPT-style models, Horizon offers a rich training ground where AI thrives under real-world market conditions.
Stress Test with Confidence
Simulate market shocks and regulatory scenarios at scale—without risking capital, and with full control over variables.
Frictionless Data Access
Leverage direct integration with LSEG’s tick data via AWS to accelerate modelling, testing, and deployment from day one.