SIMUDYNE LIMITED

Overview

Agent-based modelling with Simudyne

Simudyne is a simulation technology company that offers organizations a new way to more effectively harness the power of agent-based modeling, AI and machine learning to test drive their decisions and drive growth. Simudyne’s clients include global banks, regulators and exchanges.

Founded by simulation expert Justin Lyon in 2016, Simudyne graduated from the Barclays TechStars programme in 2017 and Mastercard Start Path in 2018. We have since expanded rapidly with a team of first-class talent, including PhDs with a wealth of expertise in financial services and beyond.

SUCCESS STORY

Harnessing the Power of Agent-Based Modeling for Market Simulation and Strategy Testing at HKEX

Simudyne’s agent-based models, powered by AWS’ Accelerated Computing technologies along with Red Hat OpenShift, equip financial institutions and stock exchanges like Hong Kong Exchanges and Clearing Limited (HKEX) to effectively analyze and navigate both market and liquidity risks. These models simulate the interactions and decision-making of individual agents within a market, offering invaluable insights for asset managers, equity trading desks, exchanges, regulators, and risk officers.

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Benefits to working with SIMUDYNE LIMITED

Simudyne Pulse & Simudyne Horizon

SP - Focuses on high-frequency market simulations, capturing millisecond-level interactions to optimize trading strategies and manage liquidity risks.

SH - A multi-asset simulation platform that uses AI and generative models to develop and test trading strategies. Integrated with Red Hat OpenShift, it allows for seamless scalability and operational efficiency.

Strategic Partnership

Collaboration with Red Hat and AWS provides a robust ecosystem for financial institutions, markets, hedge funds, combining cloud scalability with advanced market simulations.

Enhanced Risk Management

Through high-fidelity simulations, institutions can better assess and mitigate risks.

Regulatory Compliance

Ensures compliance with regulations such as MiFID II RTS 6.

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Offerings

Resources

Agent Based Models for FSI with Simudyne.mp4 Agent Based Models for FSI with Simudyne Podcast
AI Meets Finance: Exploring the Impact of Neuro-Symbolic Traders on Market Stability Linkedin post
AWS HPC Blog - Harnessing the power of agent-based modeling for equity market simulation and strategy testing Harnessing the power of agent-based modeling for equity market simulation and strategy testing
Simudyne Horizon - Two Page Introduction Simudyne Horizon - quick overview
Multi-Agent AI for Liquidity Risk: How Red Hat and Simudyne are Powering the Future of Market Simulation RH/Simudyne Coffee Break video
AWS Solution Brief - Simudyne Market Simulator Solution Brief
Agent-based Liquidity Risk Modelling for Financial Markets In this paper, we describe a novel agent-based approach for modelling the transaction cost of buying or selling an asset in financial markets, e.g., to liquidate a large position as a result of a...
Simudyne Pulse - Two Page Introduction Simudyne Pulse overview

FAQs

How does Simudyne enhance regulatory compliance and stress testing?

Simudyne helps financial institutions and enterprises simulate regulatory stress tests, ensuring compliance with industry standards. By modeling systemic risks and market behaviors, organizations can proactively identify vulnerabilities and improve resilience against financial shocks.

What industries use Simudyne’s platform?

Simudyne’s technology is can be used in several industries like government, defense, energy, but is focused on financial services and other sectors that require risk analysis, predictive modeling, and decision support in complex environments.

What is Simudyne?

Simudyne is a simulation and modeling platform that enables businesses and organizations to create large-scale agent-based simulations. It helps users model complex systems, test different scenarios, and make data-driven decisions.

How does Simudyne leverage Red Hat OpenShift AI for scalable simulations?

Simudyne can be deployed on Red Hat OpenShift AI, allowing organizations to run large-scale simulations in a cloud-native environment. This integration ensures scalability, high performance, and seamless orchestration of complex models, making it easier to deploy AI-powered simulations in enterprise environments.

How does Simudyne differ from traditional simulation tools?

Unlike traditional tools, Simudyne focuses on agent-based modeling (ABM), which simulates interactions between autonomous agents (e.g., people, firms, or machines) within a system. This approach provides more realistic insights into complex, dynamic environments compared to simpler statistical or equation-based models.