Introduction: The Underlying Logic of Liquidity Games

In financial markets, retail investors are often seen as the "bag holders" for institutional investors when they exit liquidity—when institutions need to sell off large amounts, retail investors often passively take on the assets that are losing value. This asymmetry is further amplified in the cryptocurrency space, where the market maker mechanisms of centralized exchanges (CEX) and dark pool trading exacerbate this information gap. However, with the evolution of decentralized exchanges (DEX), new order book DEXs represented by dYdX and Antarctic are reconstructing the distribution of liquidity power through innovative mechanisms. This article will analyze how excellent DEXs achieve physical separation of liquidity between retail and institutional investors through technical architecture, incentive mechanisms, and governance models.

Liquidity Layering: From Passive Assumption to Power Reconstruction

The Liquidity Dilemma of Traditional DEXs

In the early AMM (Automated Market Maker) models, the liquidity provision (LP) behavior of retail investors faced significant adverse selection risks. Taking Uniswap V3 as an example, although its concentrated liquidity design improved capital efficiency, data shows that the average position of retail LPs is only $29,000, primarily distributed in small pools with daily trading volumes below $100,000; meanwhile, professional institutions dominate large trading pools with an average position of $3.7 million, with institutions accounting for 70-80% of pools with daily trading volumes exceeding $10 million. Under this structure, when institutions execute large sell-offs, retail liquidity pools become the first to bear the brunt of price declines, forming a typical "exit liquidity trap."

The Necessity of Liquidity Layering

Research from the Bank for International Settlements (BIS) reveals that the DEX market has shown significant specialization layering: although retail investors account for 93% of the total number of liquidity providers, 65-85% of actual liquidity is provided by a small number of institutions. This layering is not coincidental but rather an inevitable result of market efficiency optimization. Excellent DEXs need to design mechanisms to manage the "long-tail liquidity" of retail investors separately from the "core liquidity" of institutions. For example, the MegaVault mechanism launched by dYdX Unlimited allocates USDC deposited by retail investors to institution-led sub-pools through algorithms, ensuring liquidity depth while avoiding direct exposure of retail investors to large trading impacts.

Technical Mechanisms: Building a Liquidity Firewall

Innovation in Order Book Models

DEXs that adopt order book models can construct multi-layered liquidity protection mechanisms through technological innovation, with the core goal of physically isolating the liquidity needs of retail investors from the large trading behaviors of institutions, preventing retail investors from passively becoming "sacrifices" to market volatility. The design of liquidity firewalls needs to balance efficiency, transparency, and risk isolation capabilities. The core lies in a hybrid architecture that coordinates on-chain and off-chain operations, safeguarding user asset autonomy while resisting market fluctuations and malicious operations that impact liquidity pools.

The hybrid model processes high-frequency operations such as order matching off-chain, leveraging the low latency and high throughput characteristics of off-chain servers to significantly enhance trading execution speed and avoid slippage issues caused by blockchain network congestion. Meanwhile, on-chain settlement ensures the security and transparency of self-custodied assets. For instance, DEXs like dYdX v3, Aevo, and Antarctic match trades through off-chain order books and complete final settlements on-chain, retaining the core advantages of decentralization while achieving trading efficiency close to that of CEXs.

At the same time, the privacy of off-chain order books reduces the pre-exposure of trading information, effectively suppressing MEV behaviors such as front-running and sandwich attacks. For example, projects like Paradex have reduced the market manipulation risks associated with transparent on-chain order books through hybrid models. The hybrid model allows for the integration of professional algorithms from traditional market makers, providing tighter bid-ask spreads and depth through flexible management of off-chain liquidity pools. Perpetual Protocol employs a virtual automated market maker (vAMM) model, combined with off-chain liquidity supplementation mechanisms, to alleviate the high slippage issues of purely on-chain AMMs.

Off-chain processing of complex calculations (such as dynamic funding rate adjustments and high-frequency trading matching) reduces on-chain gas consumption, with on-chain only needing to handle key settlement steps. The singleton contract architecture of Uniswap V4 merges multiple pool operations into a single contract, further reducing gas costs by 99%, providing a technical foundation for the scalability of hybrid models. The hybrid model supports deep integration with DeFi components such as oracles and lending protocols. GMX utilizes Chainlink oracles to obtain off-chain price data, combined with on-chain liquidation mechanisms, to achieve complex functionalities in derivatives trading.

Building Liquidity Firewall Strategies that Meet Market Needs

The liquidity firewall aims to maintain the stability of liquidity pools through technical means, preventing systemic risks triggered by malicious operations and market fluctuations. Common practices include introducing time locks (such as a 24-hour delay, up to a maximum of 7 days) when LPs exit, preventing liquidity from being instantly depleted due to high-frequency withdrawals. During periods of severe market volatility, time locks can buffer panic withdrawals, protecting the returns of long-term LPs while ensuring fairness through transparent recording of lock-up periods via smart contracts.

Based on real-time monitoring of liquidity pool asset ratios through oracles, exchanges can also set dynamic thresholds to trigger risk control mechanisms. When the proportion of a certain asset in the pool exceeds a preset limit, related trading can be paused or automatic rebalancing algorithms can be invoked to prevent impermanent loss from expanding. Additionally, tiered rewards can be designed based on the lock-up duration and contribution of LPs. LPs who lock assets for longer periods can enjoy higher fee-sharing or governance token incentives, thereby encouraging stability. The Hooks feature of Uniswap V4 allows developers to customize LP incentive rules (such as automatic reinvestment of fees), enhancing stickiness.

Deploying real-time monitoring systems off-chain can identify abnormal trading patterns (such as large arbitrage attacks) and trigger on-chain circuit breaker mechanisms. Specific trading pairs can be paused or large orders can be restricted, similar to traditional financial "circuit breaker" mechanisms. Formal verification and third-party audits ensure the security of liquidity pool contracts, while modular designs support emergency upgrades. Introducing a proxy contract model allows for fixing vulnerabilities without migrating liquidity, avoiding a repeat of incidents like The DAO.

Case Studies

dYdX v4—A Fully Decentralized Practice of Order Book Models

dYdX v4 maintains its order book off-chain, forming a hybrid architecture of off-chain order books and on-chain settlements. A decentralized network composed of 60 validating nodes matches trades in real-time, with final settlements completed on an application chain built using the Cosmos SDK only after trades are executed. This design isolates the impact of high-frequency trading on retail liquidity off-chain, with on-chain only processing results, preventing retail LPs from being directly exposed to price fluctuations caused by large cancellations. The gas-free trading model charges fees proportionally only after successful trades, avoiding high gas costs for retail investors due to high-frequency cancellations, thus reducing the risk of passively becoming "exit liquidity."

When retail investors stake DYDX tokens, they can earn a 15% APR in USDC stablecoin returns (from trading fee sharing), while institutions must stake tokens to become validating nodes, participating in the maintenance of the off-chain order book and earning higher returns. This layered design separates the earnings of retail investors from the functions of institutional nodes, reducing conflicts of interest. Permissionless token listing and liquidity isolation allocate USDC provided by retail investors to different sub-pools through algorithms, preventing a single asset pool from being penetrated by large trades. Token holders decide on fee distribution ratios, new trading pairs, and other parameters through on-chain voting, preventing institutions from unilaterally modifying rules to harm retail interests.

Ethena—A Liquidity Moat for Stablecoins

When users collateralize ETH to generate the delta-neutral stablecoin USDe, the Ethena protocol automatically opens an equivalent ETH perpetual contract short position on a CEX to achieve hedging. Retail investors holding USDe only bear the ETH staking returns and funding rate differentials, avoiding direct exposure to spot price fluctuations. When the price of USDe deviates from $1, arbitrageurs must redeem collateral through on-chain contracts, triggering dynamic adjustment mechanisms to prevent institutions from manipulating prices through concentrated sell-offs.

Retail investors staking USDe receive sUSDe (yield tokens), with returns coming from ETH staking rewards and funding rates; institutions provide on-chain liquidity through market making to earn additional incentives, physically isolating the sources of returns for the two roles. Reward tokens are injected into USDe pools on DEXs like Curve, ensuring that retail investors can exchange with low slippage, avoiding being forced to bear institutional selling pressure due to insufficient liquidity. Future plans include using governance token ETA to control the types of collateral for USDe and the hedging ratios, allowing the community to vote to restrict excessive leverage operations by institutions.

ApeX Protocol—Elastic Market Making and Protocol-Controlled Value

ApeX Protocol has migrated from StarkEx to zkLink X, constructing an efficient order book contract trading model with off-chain matching and on-chain settlement. User assets adopt a self-custody mechanism, with all assets stored in on-chain smart contracts, ensuring that the platform cannot misappropriate funds; even if the platform ceases operations, users can still force withdrawals to ensure safety. The ApeX Omni contract supports seamless deposits and withdrawals of multi-chain assets and employs a no-KYC design, allowing users to trade simply by connecting their wallets or social accounts, while also eliminating gas fees to significantly reduce trading costs. Additionally, ApeX's spot trading innovatively supports one-click buying and selling of multi-chain assets with USDT, eliminating the cumbersome processes and extra costs associated with cross-chain bridging, making it particularly suitable for efficient trading of multi-chain meme coins.

ApeX's core competitiveness stems from the groundbreaking design of its underlying infrastructure, zkLink X. zkLink X addresses the liquidity fragmentation, high trading costs, and cross-chain complexities faced by traditional DEXs through zero-knowledge proofs (ZKP) and aggregated rollup architecture. Its multi-chain liquidity aggregation capability unifies assets scattered across Ethereum, Arbitrum, and other L1/L2 networks into deep liquidity pools, allowing users to obtain the best trading prices without cross-chain transactions. Meanwhile, zk-Rollup technology enables off-chain batch processing of transactions, combined with recursive proofs to optimize verification efficiency, making the throughput of ApeX Omni close to CEX levels, with trading costs being only a small fraction of similar platforms. Compared to single-chain optimized DEXs like Hyperliquid, ApeX offers users a more flexible and low-threshold trading experience due to its cross-chain interoperability and unified asset listing mechanism.

Antarctic Exchange—A Revolution of Privacy and Efficiency Based on ZK Rollup

Antarctic Exchange employs Zero Knowledge technology, combining the privacy attributes of Zk-SNARKs with the liquidity depth of order books. Users can anonymously verify the validity of transactions (such as margin sufficiency) without exposing position details, preventing MEV attacks and information leaks, successfully solving the industry's dilemma of "transparency versus privacy." By aggregating thousands of transaction hashes into a single root hash on-chain through Merkle Trees, it greatly compresses on-chain storage costs and gas consumption. The coupling of Merkle Trees with on-chain verification provides retail investors with a "no-compromise solution" that offers CEX-level experience and DEX-level security.

In the design of LP pools, Antarctic adopts a hybrid LP model, seamlessly connecting users' stablecoins with LP Token (AMLP/AHLP) exchange operations through smart contracts, balancing the advantages of on-chain transparency and off-chain efficiency. When users attempt to exit the liquidity pool, a delay is introduced to prevent market liquidity supply instability caused by frequent entry and exit. This mechanism can reduce price slippage risks, enhance the stability of liquidity pools, and protect the interests of long-term liquidity providers, preventing market manipulators and opportunistic traders from profiting from market fluctuations.

In traditional CEXs, large capital clients need to rely on the liquidity of all users in the order book to exit liquidity, which can easily lead to a stampede and price crashes. However, Antarctic's hedging market-making mechanism can effectively balance the supply of liquidity, ensuring that institutional investors' exits do not overly depend on retail funds, allowing retail investors to avoid taking on excessive risks. This is more suitable for professional traders who prefer high leverage, low slippage, and are averse to market manipulation.

Future Directions: The Possibility of Liquidity Democratization

The future design of DEX liquidity may develop along two different branches: Global Liquidity Networks: Cross-chain interoperability technologies break down silos, maximizing capital efficiency, allowing retail investors to achieve optimal trading experiences through "seamless cross-chain" interactions; Co-governance Ecosystem: Through innovative mechanism design, DAO governance shifts from "capital power" to "contribution rights," forming a dynamic balance between retail and institutional players in the game.

Cross-Chain Liquidity Aggregation: From Fragmentation to Global Liquidity Networks

This path employs cross-chain communication protocols (such as IBC, LayerZero, Wormhole) to build underlying infrastructure, achieving real-time data synchronization and asset transfer between multiple chains, eliminating reliance on centralized bridging. By utilizing zero-knowledge proofs (ZKP) or light node verification technologies, the security and immediacy of cross-chain transactions are ensured.

Combining AI predictive models with on-chain data analysis, intelligent routing will automatically select the optimal liquidity pool on the best chain. For example, when a sell-off of ETH on the Ethereum mainnet leads to increased slippage, the system can instantaneously disassemble liquidity from low-slippage pools on Polygon or Solana and complete cross-chain hedging through atomic swaps, reducing the impact costs on retail pools.

Alternatively, a unified liquidity layer design can develop cross-chain liquidity aggregation protocols (like the Thorchain model), allowing users to access multiple chain liquidity pools from a single point. The liquidity pool adopts a "Liquidity as a Service" (LaaS) model, allocating resources to different chains as needed, and automatically balancing price differences between chains through arbitrage bots to maximize capital efficiency. Additionally, cross-chain insurance pools and dynamic rate models can be introduced to adjust premiums based on the frequency of liquidity usage and security levels of different chains.

DAO Governance Game Balance: From Whale Monopoly to Pluralistic Checks and Balances

Unlike the previous path, DAO governance dynamically adjusts voting weights. The voting weight of governance tokens increases with holding time (such as the veToken model), incentivizing DAO members to participate in community governance long-term and suppressing short-term manipulation. By dynamically adjusting weights based on on-chain behaviors (such as liquidity provision duration and trading volume), power concentration caused by large token hoarding is avoided.

In conjunction with the existing dual-track system, core decisions involving liquidity allocation must simultaneously meet the criteria of "majority of total votes" and "majority of retail addresses" to prevent unilateral control by whales. Retail investors can delegate their voting rights to reputation-verified "governance nodes," which must stake tokens and undergo transparent audits; abuse of power results in the forfeiture of staked funds. Additional rewards are given to liquidity providers (LPs) participating in governance, but if voting behavior deviates from community consensus, rewards are proportionally reduced.

NFTs can play an important role in DAO governance as a medium for transferring and trading labor relationships. For instance, the rebate relationships common to all exchanges can be directly tied to NFTs; when an NFT is traded, the corresponding rebate relationship and customer resources will also transfer, and the value of this NFT can be directly quantified by the quantity of resources. Some DEXs have already made corresponding attempts, allowing NFTs to flow quickly to users who are genuinely willing to promote the DEX through transactions on OpenSea. Over 90% of the performance of the entire operations department comes from NFT rebates. The anonymity of NFTs can also help DAOs better manage their business development departments, preventing user loss due to the departure of a specific business developer.

Conclusion: The Paradigm Shift of Liquidity Power

Excellent DEXs fundamentally reconstruct the distribution of financial power through technological architecture. Practices from dYdX, Antarctic, and others indicate that when liquidity provision mechanisms shift from "passive acceptance" to "active management," and when trade matching upgrades from "price priority" to "risk isolation," retail investors will no longer be the victims of institutional exits but rather equal participants in ecological co-construction. This transformation is not only about technological efficiency but also embodies the core spirit of DeFi—returning finance to its essence of service rather than a battlefield of zero-sum games.

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