Concordia Documentation
  • A Modular Adaptive Risk Layer for All of DeFi
  • Platform Spec
    • Portfolios
    • Risk Framework
      • Market Risk
      • Rebalancing (Liquidation)
      • Preventing Bad Debt
    • Composite Operations
    • Pricing Engine
  • Future Roadmap
    • Diversification Risk
    • Concentration Risk
    • Event Risk
  • Developer API
    • JSON API
  • Use cases
    • Margin trading
    • Cross-chain money market
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  • The Limitations of Static Risk Models in DeFi
  • Concordia: A Hub for DeFi Innovation Fueled by Adaptive Risk Management

A Modular Adaptive Risk Layer for All of DeFi

Concordia delivers a scalable modular Adaptive Risk Layer that mitigates market risk and paves the way for mass adoption.

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Last updated 1 year ago

The Limitations of Static Risk Models in DeFi

Static risk models, currently prevalent in Decentralized Finance (DeFi), pose a significant and multifaceted threat to the ecosystem's financial and developmental stability. Akin to the models employed before the 1987 stock market crash, these static models are vulnerable to systemic failures. One of the most poignant examples of this fundamental design flaw was the USDC depeg event, where instead of dynamically increasing LTVs, the static models allowed users to borrow more USDC, which could have fallen further. These vulnerabilities sometimes translate to substantial economic losses for users, with the Curve Aave, Mango markets, and Solend attacks totaling more than a quarter of a billion dollars in losses. These exploits ultimately hinder overall stability and trust within the DeFi ecosystem and render it susceptible to systemic risk, failing to capitalize on the learnings that traditional finance ("TradFi") gleaned over the past three decades.

Furthermore, the inability of static models to adapt to the dynamic nature of DeFi significantly hinders the creation of novel, composable DeFi primitives. This directly impacts the potential for a modular defense strategy in the future, ultimately stifling the growth and mass adoption of DeFi by limiting its functionality and versatility.

Static risk models are a barrier to innovation, hindering DeFi's full potential to revolutionize financial landscapes.

  • Billions of Dollars Lost: Systemic failure threats from static risk models still linger in DeFi, exposing billions in user funds due to potential model shortcomings.

  • Prevents Innovation & Adoption: Current inferior models limit the creation of new, composable DeFi primitives, stifling growth and mass adoption by hindering the development of a truly versatile and user-friendly DeFi ecosystem.

Concordia: A Hub for DeFi Innovation Fueled by Adaptive Risk Management

Concordia serves as a catalyst for unlocking DeFi's true potential by addressing core challenges and facilitating mass adoption. Through its modular Adaptive Risk Layer, developers can create groundbreaking applications, leveraging dynamic, AI-powered risk management for composable innovation. This proactive approach enhances resilience against systemic risks, safeguarding users and fostering trust.

As a result, Concordia empowers a new era of institutional adoption, forging a path towards a secure, scalable, and inclusive DeFi future. Its innovative framework cultivates a robust ecosystem, encouraging widespread participation and driving DeFi towards its full potential.

Functioning as a central hub for the next generation of DeFi innovation, Concordia's Adaptive Risk Layer offers unparalleled flexibility and adaptability. This enables builders to construct leading-edge projects within the ecosystem, promoting collaboration and pushing the boundaries of DeFi possibilities. Concordia's risk model creates a fertile ground for incubating cutting-edge DeFi protocols such as Superposition (), paving the way for a wave of groundbreaking advancements yet to come. Each new protocol built upon Concordia further strengthens the AI engine, fueling its continuous learning and improvement through a powerful flywheel effect.

Superposition OnePager (Public)
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