MarS
Financial market simulation engine powered by generative underlying models
Product Details
MarS is a financial market simulation engine driven by a generative base model (LMM) that can dynamically generate order sequences based on historical financial market data in response to various conditions, including user-injected interactive orders, vague target scenario descriptions, and current/recent market data. MarS matches the generated order sequences and user interactive orders in real-time in the simulated clearing house to generate fine-grained simulated market trajectories. The flexibility of MarS enables it to support a variety of downstream applications such as predictions, detection systems, analytics platforms, and agent training environments.
Main Features
How to Use
Target Users
The target audience is financial analysts, traders, market regulators, and researchers who need to conduct market simulations and forecasts. MarS is suitable for them because it provides a platform that can simulate real market conditions, helping them understand market dynamics, optimize trading strategies, and detect potential market manipulation.
Examples
Financial analysts use MarS to simulate market trends to predict future market movements.
Traders use MarS to conduct 'What IF' analysis to assess the market impact of different trading strategies.
Market regulators use MarS to detect market manipulation and maintain market stability.
Quick Access
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