EdgeBlog and Research
Introducing: Artificial Financial Intelligence
AFI represents years of AI development at Chaos Labs. Our journey began with Agent-Based Monte Carlo simulations that set a new standard for real-time value-at-risk assessment in DeFi.
Omer Goldberg
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Introducing Edge: The Next Generation Oracle Protocol
At Chaos Labs, we've always believed that robust risk management and reliable data are the foundations of a thriving DeFi ecosystem. With Edge, we're putting that belief into action, providing a solution that doesn't just report prices but actively contributes to the security and efficiency of on-chain finance.
Omer Goldberg
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Aave Integrates Chaos Labs’ Edge Risk Oracles
Following community discussions and voting, Chaos Labs, the industry-leader in onchain risk management, received approval from the Aave DAO to deploy its Edge Risk Oracles to the WETH on v3 Lido Ethereum.
Omer Goldberg
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Dynamic Price Impact on GMX Powered by Edge Risk Oracles
Decentralized derivatives exchanges (DDEXs) like GMX face unique challenges in delivering a seamless user experience while maintaining robust risk management. By integrating Chaos Labs' Edge Risk Oracles, GMX has taken a significant step toward bridging the gap with centralized exchanges (CEXs). Edge Oracles enable real-time pricing adjustments, automate critical risk parameters, and support advanced features like dynamic price impact, offering GMX users tighter spreads, reduced slippage, and enhanced platform security.
Omer Goldberg
|Introducing: Artificial Financial Intelligence
AFI represents years of AI development at Chaos Labs. Our journey began with Agent-Based Monte Carlo simulations that set a new standard for real-time value-at-risk assessment in DeFi.
Omer Goldberg
|
Chaos Labs: How We Work
The most interesting problems don't come with instruction manuals. In 3 years, we went from 0 to managing hundreds of billions in on-chain value. Not through fancy pitch decks or advertising. Through relentless execution and an uncompromising culture.
Omer Goldberg
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AVS Risk Assessment Methodology
This model quantifies maximum slashing risk, referred to here as Value at Risk (VaR), by analyzing slashing behavior across multiple node operators and AVSs. Notably, slashing one operator on a particular AVS does not guarantee that others will be slashed simultaneously, nor does slashing on one AVS imply slashing on all AVSs secured by the same operator.
Omer Goldberg
|Dynamic Price Impact on GMX Powered by Edge Risk Oracles
Decentralized derivatives exchanges (DDEXs) like GMX face unique challenges in delivering a seamless user experience while maintaining robust risk management. By integrating Chaos Labs' Edge Risk Oracles, GMX has taken a significant step toward bridging the gap with centralized exchanges (CEXs). Edge Oracles enable real-time pricing adjustments, automate critical risk parameters, and support advanced features like dynamic price impact, offering GMX users tighter spreads, reduced slippage, and enhanced platform security.
Omer Goldberg
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Corn Network Integrates Edge Price Oracles
Corn Network, an Ethereum Layer 2 protocol redefining Bitcoin’s role in DeFi, has integrated Edge Price Oracles. With over $60 billion in secured volume, Edge delivers intelligent, context-aware price data to the Corn Network, significantly boosting Corn’s resilience and operational efficiency in dynamic market conditions.
Omer Goldberg
|Aave Integrates Chaos Labs’ Edge Risk Oracles
Following community discussions and voting, Chaos Labs, the industry-leader in onchain risk management, received approval from the Aave DAO to deploy its Edge Risk Oracles to the WETH on v3 Lido Ethereum.
Omer Goldberg
|
dydx Re-launch Rewards Explainers
Market makers and traders can earn dydx rewards based on their activity and contributions, with traders earning points through taker fees and market makers earning points by fulfilling orders and providing liquidity. Points are weighted differently across markets, and rewards are distributed proportionally based on a 7-day TWAP of the dydx price.
Omer Goldberg
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