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ClaritythroughChaos

Chaos Labs transforms data on risk, security, and incentive strategies into powerful tools to guide the evolution of decentralized finance. 

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Industry Leading Risk, Analytics, & Growth

We collaborate with leading teams in DeFi to protect and grow the future of the financial system.

Chaos Labs

Risk Management

Innovate confidently with the assurance of our advanced mechanism design and economic security audits, continuously optimized risk parameters, and dedicated 24/7 support.

Analytics

Achieve total clarity with in-depth analytics, including real-time risk alerts, comprehensive monitoring, and strategic insights tailored to your needs.

Incentive Optimization

Reach sustainable, long-term growth with custom liquidity incentive programs, sybil detection, and advanced portals to track incentives and engagement over time.

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dYdX Chain: End of Season 6 Launch Incentive Analysis
dYdXLiquidity Incentives

dYdX Chain: End of Season 6 Launch Incentive Analysis

Chaos Labs is pleased to provide a comprehensive review of the sixth trading season on the dYdX Chain. This analysis encompasses all facets of exchange performance, emphasizing the impact of the Launch Incentive Program.

Gearbox LT Methodology
GearboxRiskSimulations

Gearbox LT Methodology

This methodology proposes a framework to derive liquidation thresholds (LT) and liquidation bonuses (LB) specifically for LSTs and LRTs on Gearbox, which are assets closely related to ETH. These tokens are fundamentally priced on Gearbox based on their intrinsic value as receipt tokens representing underlying staked or restaked ETH, when withdrawals are enabled. However, during periods of significant market volatility, LSTs and LRTs may temporarily deviate from their fundamental ETH value in the open market due to factors such as liquidity constraints, market sentiment, and liquidation events.

Oracle Risk and Security Standards: Data Replicability (Pt. 4)
Oracles

Oracle Risk and Security Standards: Data Replicability (Pt. 4)

Data replicability is the capacity for third parties to independently recreate an Oracle’s reported prices. This requires transparency into two key components of the Oracle’s system: its data inputs and its aggregation methodology.

Chaos Labs Secures $55M in Series A Funding

Chaos Labs Secures $55M in Series A Funding

We're excited to announce our $55M Series A led by Haun Ventures to accelerate the development of our advanced risk management platform.

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