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Decoding Decentralized Finance: The Evolution of Tokens, Liquidity Pools, and Vaults
Author: Andrew Hong Source: cryptodatabytes Translation: Shan Ouba, Golden Finance
Today, many people, including BlackRock CEO Larry Fink and Robinhood CEO Vlad Tenev, believe that everything can be tokenized. Although this statement may seem exaggerated and easy to overlook, the logic behind it is that on-chain assets can provide far greater liquidity, flow, and return rates than off-chain.
But if you do not truly understand the underlying logic of cryptocurrencies (instead of just staying on the surface of tokens), you may feel that the new wave of application fever is driven only by homogeneous stablecoins and yields from unknown sources. Even though all information on blockchain technology is transparent and traceable, it is still difficult to see the underlying patterns and strategies behind it; you might also mistakenly believe that aggressive token incentives are still driving industry growth. But in fact, the era from 2020 to 2023, which relied solely on mining arbitrage and capital rotation, has basically come to an end.
Decentralized Finance (DeFi) is constantly evolving in each round of the crypto cycle, condensing hundreds of years of experience in traditional finance and economics into on-chain protocols — these protocols are more efficient, trustless, and permissionless than their off-chain counterparts. Initially, assets were packaged into tokens, then tokens were pooled together to support lending and trading, and now it combines funding pools with portfolio management and complex structured products through treasury-like protocols.
The concept of the profit margin logic from the source of income is quite simple: you can deposit multiple tokens into a liquidity pool and vault, earning returns through aggregation. Whenever users conduct financial transactions using these tokens, you can earn transaction fees:
This type of interest rate differential has actually existed in traditional finance for a long time, but it is only open to large intermediary institutions (banks, funds), and ordinary users can only earn a negligible 1 cent in their Chase Bank accounts. In the cryptocurrency space, these earnings belong directly to the users/liquidity providers.
In the past five years, the opportunities and complexities of DeFi have grown exponentially — next, I will break down the core logic for you one by one. If you want to establish yourself in the DeFi space, you must understand these foundational concepts and their connections:
This article will focus on the business logic behind these concepts (what and why), rather than the technical details at the code level (how). The three mentioned operate through smart contracts, with multiple sets of smart contracts working in collaboration to form a protocol.
Understanding the Token Flywheel
Tokens are essentially smart contracts that follow specific standards (ERC20, ERC721, ERC1155). For stablecoins and assets aiming to become blue-chip tokens, there are two core objectives:
Any token that can achieve these two goals will ultimately form a powerful growth flywheel:
It should be noted that the “flywheel” here does not refer to inflating the market value to 1 billion dollars through means such as being listed on centralized exchanges or digital asset treasury, but rather to the actual application scale of the token within the DeFi ecosystem reaching this level.
Due to the need for tokens to circulate among numerous ever-changing protocols, most people view tokens as a single asset, only focusing on superficial trading discussions — this understanding is flawed.
Let's start with the issuance and redemption management of tokens. Tokens backed by actual collateral are usually managed through a code module that delegates the minting and burning functions to another contract or a whitelisted address.
The following are the main categories of stablecoins (including issuer / deployment time):
1. Fiat-collateralized stablecoin
2. Over-collateralized Stablecoin
3. Algorithmic Stablecoin
4. Delta-Neutral Stablecoin
Overall, the evolution trend of tokens is: the types of collateral are becoming more diversified, and the over-collateralization rate is gradually decreasing. For example, the collateralization rate of delta-neutral strategies like Ethena is only 101%, while the collateralization rate of DAI is about 270%. Due to the high unpredictability of complex economic models, the era of algorithmic stablecoins has officially ended.
Next, let's talk about wrapped tokens and their role in the flywheel. The most typical wrapped token is WETH, which converts the native Ethereum asset ETH into an ERC20 token. This conversion is essential because most contracts are built on the ERC20 standard, and WETH simplifies the interaction logic. You can unwrap WETH back to ETH at any time to redeem the underlying asset; the amount of ETH is only linked to the amount of WETH and is unrelated to the wallet that initially performed the wrapping operation.
Protocols can achieve various functions through wrapped tokens, such as:
Each function mentioned above only provides one protocol example, but these are common patterns used by hundreds of protocols on Ethereum.
Since wrapped tokens follow the ERC standard, they are often reusable in other protocols. Taking USDe as an example (which is a typical case of the current strongest token flywheel, with a market value of 12 billion dollars as of October 22, 2025):
sUSDe - (Splitting)
You can view all these wrapped tokens as extensions of the underlying USDe token – they possess additional value and functionalities that the underlying token does not have. When analyzing a token, it is necessary to sort through all its associated wrapped tokens to fully understand its value and growth potential (although this is easier said than done).
The Operating Mechanism and Profit Model of the Capital Pool
In the above case, the returned wrapped tokens represent a share of the “funding pool,” which is the contract that receives deposits of underlying tokens. Nowadays, the “funding pool” has become a general term referring to any contract that can hold deposits of tokens from multiple users simultaneously and is convenient for other users to call. It is a peer-to-peer (P2P) system managed by protocols responsible for all ownership records, calculation logic, and order matching rules. The core purpose of the funding pool has always been to maximize capital efficiency for a series of financial orders/operations and to allow users to profit through the acquisition of usage fees.
The following are the main types of liquidity pools you need to understand, arranged in the order of their development and popularity in the ecosystem:
1. Lending Fund Pool (Money Market)
2. Trading Fund Pool (Liquidity Pool)
There are many controversies regarding the order matching mechanisms of trading pairs (such as AMM, Central Limit Order Book (CLOB), Intentional Market Makers, Perpetual Contract DEX, etc.), but these differences are not closely related to the core theme of this article and can be discussed separately later.
3. Staking Fund Pool (Insurance Fund)
4. Incentive Fund Pool (Meter)
5. Strategy Fund Pool (Vault)
6. Structured Fund Pool (Structured Finance)
Vault Management and Revenue Strategy
From a protocol perspective, the yields of many liquidity pools are independent of each other, but they are interconnected through wrapped tokens. How can users easily manage all these wrapped tokens and liquidity pools to optimize their yields? The answer lies in “strategies.”
From 2019 to 2022, users had to manually discover and manage strategies across tokens and liquidity pools. Some popular strategies include “leverage stacking”—for example, depositing $100 worth of ETH in a lending pool, borrowing $80 in USDC, converting the USDC back to ETH and depositing it again for additional returns. This strategy carries the risk of liquidation if the ETH price falls below the LTV threshold, but as long as the USDC borrowing rate is lower than the ETH deposit rate, it can be profitable. Entering various mining vaults usually requires completing multiple cross-transaction conversions/deposits/staking operations. To address this issue, Solidity developers aggregate these function calls into a single contract, allowing users to establish a position with just one transaction—this mechanism is known as “zap” (first seen in DeFi Zap). Subsequently, products like Zapper, Instadapp, and Defisaver developed numerous zap contracts for each newly launched protocol, akin to “whack-a-mole” in response to rapid iteration. Given the security risks, deploying such contracts is also extremely challenging—you can glimpse their complexity by understanding the architecture of Defisaver. As expected, no single team can keep pace with all new DeFi protocols/versions/vaults. Today, products aimed at retail investors (such as the aforementioned leverage management tools, or combination/ETF management tools like Reserve and Glider.fi) have improved user experience by tenfold compared to 2020.
Therefore, allowing users to deposit assets into the “self-managed various zaps” vaults (and referring to zaps as “strategies”) becomes a natural choice. Currently, most vaults follow the ERC4626 standard, which includes the following core elements:
Like all ERC standards, numerous extension standards (such as ERC7540) have been derived from the basic standard of ERC4626. Some extensions have not formed a unified standard but are specific to protocols, such as the adapters in Morpho Vault V2.
The current vault strategies are quite similar: the vault deposits tokens into a set of lending/liquidity pools, with most strategies not using or only using a small amount of leverage. The best case for manually managed vaults is Morpho—managers implement strategies by controlling the limits and capital flow across different markets; Yearn and Lagoon are also quality examples. In addition, there are automated vaults like Sommelier and Beefy, as well as products like the Hyperliquid vault that support trading strategies. The industry is currently in an exploratory phase, with teams dedicated to creating flexible vaults that “cover the most capital pools/tokens and can execute and manage strategies within them.”
Taking the Morpho vault as an example, the yield structure for users (depositors) is as follows:
Morpho treasury's “native fees” come from the utilization rate sharing of underlying lending pools in different configurations; MORPHO and SEAM tokens are additional incentive emissions; the treasury manager collects a high performance commission of 15%.
There are transparency issues with the current vault: users often cannot understand the actual strategies being executed underneath. The Herd team is working to address this issue and will launch relevant features in the future. Please exercise caution when depositing into high-yield vaults.
Combining the content learned earlier, taking the Ethena stablecoin USDe as an example, all elements in the token flywheel can be linked together to form the following flowchart:
Every liquidity pool, wrapped token, and vault adds value to the underlying USDe token; as Ethena evolves, the ecosystem will drive the creation of more complex liquidity pools and vaults. All of this will generate more demand for the minting of USDe.
Clearly, the token issuers want to control the profits generated by this flywheel as much as possible. Therefore, it has become increasingly common for issuers to launch their own treasury, such as Perena and Midas (whose security remains to be seen, and is currently mentioned only sporadically).
Summary Thoughts
If you can read this, first, thank you for your willingness to engage in deep reading in the AI era — you should now have a clearer understanding of the development history and core logic of DeFi. In the future, when you hear others discussing tokens or liquidity pools, you will know how to organize the relevant connections between tokens, liquidity pools, and vaults, and engage in more in-depth discussions.
It should be noted that this article does not cover many underlying concepts and details related to the risks associated with tokens, liquidity pools, and treasury operations. These risks are often related to cross-protocol token pricing and oracle issues (aggregating off-chain price data / calculation results as a reliable source for on-chain token pricing) — it is recommended that you refer to relevant materials to understand existing oracle mechanisms. Additionally, attention should also be paid to the issue of maximum extractable value (MEV) and front-running bots.