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Parameter Optimization

Fine-tune your protocol’s risk controls to strike the optimal balance between revenue and market risk exposure

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Parameter-Tuning At The Protocol Level

Parameter Recommendations PortalAsset RecommendationsSimulations

Features

Simulation Framework

Our simulation framework is innovative and industry-leading. At the core of our methodology is a high-fidelity agent-based simulation platform, which we use to simulate on-chain debt and liquidation behaviors.  We conduct hundreds of thousands of simulations using different price trajectories to measure critical variables such as Value at Risk and Borrow Usage at statistically significant confidence levels.  This approach gives us an unparalleled view of the various configurations of assets and chains, identifying the optimal parameters to protect protocols from potential bad debt, irrespective of market conditions.

Transparent Approach

We are committed to transparency, which is integral to our risk management solution. By transparently providing clear and concise information, we enable the protocols to make data-driven decisions that optimize portfolio performance while minimizing the potential for loss.  We continuously open our tools and methodologies to the broader DeFi community, enabling anyone to explore our simulations, analyze the results, and understand the potential consequences of different parameter configurations.  This approach promotes accountability, trust, and community education, facilitating more informed decision-making and driving the growth and success of the DeFi ecosystem.

Mechanism design is central to GMX's innovation and success. As we embarked on developing V2, securing top-tier expertise was imperative. Chaos Labs, with their proven track record in mechanism design, stood out. Our collaboration was remarkable; they meticulously mapped out risk scenarios, edge cases, and market attack models, ensuring we were well-equipped and confident for the mainnet launch.

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Mechanism Design

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