Provide new tools ahead of your competitors

Improve your core customer value proposition

Create new revenue streams and provide tools that your competitors don’t by offering your customers a more robust method of estimating transaction costs and ensuring best execution.

With Simudyne, your clients can accurately model market dynamics in the world’s first interactive, simulated market environment. Enable them to generate realistic market conditions calibrated to historical data for backtesting and interactive forecasting, or discover the best parameters for trades and visualize market slippage before going live.

Test and refine new exchange policies and protocols

Gain an innovative and cost-effective way to test and refine new policies and protocols before they go live in the market.

Enable your clients to study pre-trade TCA, including market slippage, optimize order scheduling, prevent delay costs and negate opportunity costs.

Your clients can use the realistic market environment to backtest and benchmark their algos against benchmarks such as VWAP.

Provide your customers with the ability to carry out due diligence on their algos as a compliance check against regulatory standards (e.g. RTS6).

Your customers can discover the best parameters for their trades and assess the impact before going live.

Information

How does market simulation for exchanges work?

Unlike other methods such as historical backtesting or stochastic PDEs, agent-based modeling (ABM) involves modeling multiple heterogenous agents that interact at micro level to produce emergent phenomena experienced in real markets.

ABM offers a more robust method of estimating transaction costs and ensuring execution. As ABMs are a “glassbox”, you can analyze and understand trader interactions at a micro-level.

Our high-fidelity market simulator uses agent-based modeling to simulate trading at high frequency. Your clients can simulate complex trading behaviors including fundamental traders, momentum traders, market makers and noise traders, or inject their own user defined agent into the market simulator to see how the market reacts.

Want to know more? Request a demo.