DeFi
Decentralized finance concepts, mechanisms, and protocols
Key Glossary Terms
Essential vocabulary for this topic
AMM
intermediateAn Automated Market Maker (AMM) is a type of decentralized exchange protocol that relies on a mathematical formula to price assets instead of using a traditional order book. In an AMM, assets are pooled into smart contracts, known as liquidity pools, where traders interact with the pool rather than a counterparty. This infrastructure enables continuous liquidity and automated trade execution, removing the need for intermediaries such as market makers or centralized exchanges in the pricing and settlement process.
DeFi
Arbitrage
advancedArbitrage is the practice of capitalizing on price discrepancies of the same asset across different exchanges or liquidity pools. In the context of blockchain, arbitrageurs monitor various DEXs and CEXs, identifying moments where a token’s price on one platform is lower than on another. By buying low on one platform and selling high on another simultaneously, the arbitrageur profits from the spread, while simultaneously helping to unify and stabilize asset prices across the entire ecosystem.
DeFi
Automated Market Maker
intermediateA decentralized exchange mechanism that prices assets using a liquidity pool and mathematical formula instead of a traditional order book.
Borrowing
intermediateBorrowing in DeFi is the process of acquiring capital by providing collateral to a decentralized lending protocol. Users lock crypto assets into a smart contract to receive a loan in another asset. These protocols are typically over-collateralized, meaning the value of the deposited assets must exceed the value of the borrowed loan. This system allows users to leverage their positions or gain liquidity without having to sell their underlying assets.
DeFi
Collateral
intermediateCollateral refers to the assets that a borrower locks into a smart contract to secure a loan within a decentralized lending platform. Because DeFi protocols lack traditional credit scoring systems, they require assets of significant value to be deposited as security. If the borrower fails to meet the repayment terms or if the value of their collateral drops significantly, the protocol triggers a liquidation process to recover the debt and maintain the protocol's solvency.
DeFi
Collateral Factor
advancedA lending-protocol parameter determining how much borrowing power a supplied asset contributes relative to its market value.
Books
Recommended reading
Research Papers
Academic and industry research
Lido: A Staking Pool for Ethereum 2.0
Vasiliy Shapovalov, Konstantin Lomashuk, Jordan Fish
The Lido whitepaper outlines a protocol designed to solve the liquidity challenges associated with staking on the Ethereum Proof-of-Stake (PoS) network. At the time of its inception, staking required locking up 32 ETH, which resulted in reduced capital liquidity and high barriers to entry for smaller token holders. Lido proposes a liquid staking model where users deposit ETH into a decentralized pool and receive an ERC-20 token (stETH) in return. This derivative represents their stake and accumulated rewards, allowing them to participate in other DeFi protocols while their underlying ETH is being staked by a DAO-governed set of node operators. The paper describes the architecture of the protocol, including the minting of derivative tokens, the governance structure governed by token holders, and the security mechanisms implemented to mitigate slashing risks. By enabling liquid participation in the consensus layer of Ethereum, Lido addresses the opportunity cost of staking, fundamentally changing the economics of PoS validation. The document serves as a blueprint for liquid staking protocols and provides insight into how decentralized governance can manage complex validator sets, maintain asset pegs, and decentralize the staking ecosystem at scale.
EigenLayer: The Restaking Collective
Sreeram Kannan, Calvin Liu, Soubhik Deb
The EigenLayer whitepaper introduces the concept of 'restaking,' a novel primitive that allows Ethereum validators to leverage their already-staked ETH to provide security to additional protocols, referred to as Actively Validated Services (AVSs). By allowing the economic security of Ethereum's consensus layer to be re-hypothecated across multiple external systems, EigenLayer effectively addresses the challenge of 'bootstrapping' security for new blockchain projects. The paper details the mechanism of pooled security, where validators opt-in to stake their assets on secondary services in exchange for additional rewards, while subjecting themselves to additional slashing conditions. The authors discuss the economic and architectural implications, including the potential for increased decentralization of the Ethereum ecosystem by reducing the need for new projects to maintain their own validator sets. However, the paper also addresses the potential risks of re-hypothecation, such as correlation risk and the complexity of managing multi-layer slashing conditions. As a structural evolution in blockchain architecture, EigenLayer represents a shift towards modularizing security, allowing for a more flexible and capital-efficient landscape for the deployment of decentralized applications and infrastructure.
StableSwap - efficient mechanism for Static Coin trading
Michael Egorov
The StableSwap whitepaper introduces a specialized automated market maker (AMM) algorithm designed specifically for assets that maintain stable relative values, such as fiat-pegged stablecoins. Unlike traditional Constant Product Market Makers (like Uniswap's x*y=k) which exhibit high slippage when trading assets with low volatility, StableSwap utilizes a hybrid invariant. This invariant combines the properties of the Constant Product formula and the Constant Sum formula to minimize price impact during large trades between stable assets. The document details the mathematical model behind the 'Amplification Coefficient' (A), a parameter that allows liquidity pools to behave more like a constant sum when assets are in equilibrium, thereby enabling significantly lower slippage compared to existing models. The significance of this paper lies in its contribution to the efficiency of stablecoin liquidity, effectively reducing the cost of arbitrage and enabling more stable pegs across decentralized finance. By optimizing for assets with zero or low volatility, the mechanism set the stage for highly efficient cross-asset trading, which has become a foundational component of modern DeFi liquidity infrastructure.