DODO vs Uniswap: From PMM active market making to AMM automated market making, how do different liquidity schemes affect slippage and capital efficiency?

Decentralized exchanges (DEXs) are core infrastructure of the DeFi ecosystem, and liquidity market-making models determine a DEX’s trading efficiency, capital utilization, and user experience. In today’s DEX sector, Uniswap and DODO represent two distinctly different technical paths: Uniswap relies on a constant-product automatic market maker (AMM) model, and its simplicity and universality have made it an industry benchmark; DODO, on the other hand, uses its own proactive market maker (PMM) algorithm, aiming to build differentiated advantages in capital efficiency and professional-liquidity scenarios.

According to Gate market data, as of July 14, 2026, Uniswap (UNI) is priced at $3.570, with a 24-hour increase of 1.25%, a market cap of about $2.22B, a 7-day increase of 11.77%, and a 30-day increase of 37.65%; DODO (DODO) is priced at $0.02180, with a 24-hour decrease of 10.21%, a market cap of about $21.80 million, a 7-day increase of 17.38%, and a 30-day increase of 32.86%. The two differ by about 100x in market-cap scale, but in terms of price elasticity, both show a high correlation with the overall market trend—over the past 30 days, they rose 37.65% and 32.86% respectively, reflecting a broad recovery trend in the DEX sector from the end of Q2 2026 to the beginning of Q3.

The design-philosophy differences between these two liquidity models not only affect each protocol’s trading depth and slippage performance, but also determine their suitability across different trading scenarios. This article will provide a systematic comparison between DODO’s PMM model and Uniswap’s AMM model across five dimensions: algorithm principles, capital efficiency, slippage control, impermanent-loss management, and application scenarios.

Algorithm principles: proactive pricing and passive formulas

The constant-product market making model (x·y=k) adopted in Uniswap’s early versions is the classic paradigm of AMMs. In this model, liquidity providers deposit two tokens into a pool in fixed proportions, and the trading price is automatically determined by the formula that the product of the quantities of the two tokens in the pool remains constant. The larger the trading volume, the farther the price deviates from the equilibrium point, causing slippage to grow non-linearly. Uniswap V3 builds on this by introducing the concept of concentrated liquidity, allowing liquidity providers to concentrate funds within specific price ranges, thereby improving capital efficiency within the specified interval. Uniswap V4, which officially launched the mainnet in January 2025, further introduces a singleton architecture and programmable Hook mechanism, upgrading the protocol from a fixed-function DEX to a programmable liquidity infrastructure. By mid-2026, more than 3,200 Hook implementations have been deployed.

DODO takes a completely different technical route. Its PMM (Proactive Market Maker) algorithm introduces the external market price as a reference baseline, actively managing liquidity distribution by dynamically adjusting the pool’s quotes. Specifically, when the amount of an asset in the pool decreases, the PMM algorithm automatically raises that asset’s bid/quote to anticipate the external market’s replenishment demand. This mechanism simulates the operating logic of professional market makers in traditional centralized exchanges—efficiently managing positions through proactive repricing. The core goal of the PMM algorithm is to concentrate liquidity around the current market price, rather than distributing liquidity evenly across the entire price range from zero to infinity as in traditional AMMs.

From an algorithmic-philosophy perspective, the fundamental difference is this: AMM is a “passive response” mechanism—price is determined by the formula, and the protocol does not actively intervene; PMM is an “active management” mechanism—the protocol uses algorithms to actively direct liquidity toward price zones where trades are most likely to occur. This difference runs through performance in capital efficiency, slippage behavior, and application scenarios.

Capital efficiency: orders-of-magnitude difference in capital utilization

Capital efficiency is one of the core metrics for evaluating liquidity-model quality. In traditional AMM models, liquidity is distributed evenly across the entire price range from zero to positive infinity, but in reality trading occurs only within a narrow interval near the market price. This means a large amount of capital is “idle” and is not truly serving trading demand.

Uniswap V3 partly solves this issue through concentrated liquidity—liquidity providers can customize the price range for their funds, concentrating liquidity within the range where trading is expected to occur. This innovation significantly improves utilization efficiency per unit of capital, enabling Uniswap V3 to provide greater trading depth than V2 under the same locked amount.

DODO’s PMM model pushes capital efficiency even further. By proactively aggregating liquidity around the market price, the PMM algorithm can deliver better trading depth under the same locked capital. According to relevant data analysis, under the same trading pair and similar locked-liquidity conditions, the PMM model’s capital utilization can reach dozens of times, or even over a hundred times, that of traditional AMM. Taking the WBTC-ETH pair as an example, the daily turnover rate on Uniswap is about 10%, while the daily turnover rate of a pool using the PMM model can reach 100x that of the AMM. Even for ETH-USDT pairs with relatively good liquidity on Uniswap, with a daily turnover rate of about 40%, the PMM turnover rate can still reach 25x.

These orders-of-magnitude differences come from the two models’ different answers to the question of “where liquidity should be placed.” AMM’s logic is “provide liquidity at all prices,” while PMM’s logic is “provide the deepest liquidity at the prices where trading is most concentrated.” For professional market makers and institutional investors seeking efficient use of capital, the latter is clearly more attractive.

Slippage control: cost differences for large trades

Slippage refers to the deviation between the execution price and the expected price; it is a key indicator for measuring trading costs. For large trades, the slippage cost may far exceed the trading fee itself, becoming a core variable in whether a trading strategy is feasible.

In AMM models, slippage has a non-linear relationship with trade size. Because the price curve is relatively steep (especially when far from the equilibrium price), large trades can cause significant price impact. For large investors, executing large trades in an AMM pool may incur slippage costs of up to tens of basis points, which in some cases can make arbitrage strategies infeasible.

By concentrating liquidity near the market price, the PMM model makes the price curve flatter in the most trade-dense region. This means that, at the same trading size, the slippage generated by a PMM pool is lower than that of a traditional AMM. The DODO team claims that because its PMM algorithm produces a flatter price curve, it can provide better pricing than AMM competitors.

It’s worth noting that the significance of slippage advantages depends on the specific trading pair and market conditions. In deeply liquid mainstream pairs such as ETH-USDT, Uniswap V3’s concentrated liquidity already keeps slippage at relatively low levels, so the PMM advantage may be less pronounced in comparison. But for pairs with relatively weak liquidity, the PMM model’s slippage advantage becomes more evident.

Impermanent loss: single-sided LP and risk management

Impermanent loss is one of the core risks liquidity providers face in AMM pools—when the relative prices of the two tokens in the pool change, the LP’s actual position value ends up lower than simply holding the two tokens outright. The difference is the impermanent loss.

In traditional AMM models, impermanent loss is unavoidable. The greater the deviation in price, the more severe the impermanent loss. While Uniswap V3’s concentrated liquidity improves capital efficiency, it also amplifies impermanent-loss risk—when the market price moves outside the price range set by the LP, the LP’s entire funds may be converted into a single asset, and the impermanent loss could far exceed that of the V2 model.

DODO’s PMM model offers a different solution for impermanent-loss management. PMM supports providing liquidity with a single token—LPs can deposit only one token rather than being required to deposit both tokens in proportion. This mechanism allows LPs to selectively bear single-sided risk based on their own risk preferences and market judgments, instead of passively taking impermanent losses caused by relative price volatility between two tokens.

In addition, DODO also offers a Private Pool (DPP) product, allowing professional market makers to flexibly adjust trading fee rates based on market conditions to optimize returns and respond to volatility. This flexibility is relatively limited in Uniswap V3—its fee parameters are more fixed.

From a risk-management perspective, the PMM model provides LPs with more proactive management tools, while the AMM model is closer to a “passive holding” strategy. The former suits professional participants with market judgment ability, while the latter is more suitable for everyday users who want simple operations.

Application scenarios: broad adaptability and professional focus

Differences in the design goals of the two liquidity models determine their different emphasis across application scenarios.

As a representative of the AMM model, Uniswap’s core goal is to “simplify asset trading”—enabling any user to conveniently swap between any token pairs. This design philosophy makes Uniswap one of the most general-purpose DEX protocols in the DeFi ecosystem, supporting a wide range of trading needs from mainstream assets to long-tail tokens. Uniswap V4’s Hook mechanism further expands the protocol’s programmability, allowing developers to implement customized logic such as limit orders and dynamic fees on top of the concentrated-liquidity model. This enables Uniswap to evolve from a “general-purpose swap tool” toward “programmable liquidity infrastructure.”

DODO’s PMM model is more focused on “professional liquidity scenarios.” Its Private Pool (DPP) product is designed specifically for professional market makers, offering greater flexibility in its fee structure and cost efficiency. DODO’s multi-chain deployment strategy (already covering 14 major networks including Ethereum, BNB Chain, Polygon, and Arbitrum) also enables it to serve professional liquidity needs across different ecosystems.

From a user-profile perspective, Uniswap is better suited for retail traders and broad swap demand, while DODO is more appealing to professional market makers, institutional investors, and project teams that need fine-grained liquidity management. The two are not simply in a competitive relationship; they play different functional roles within the DEX ecosystem.

Market performance and data as evidence

As of July 14, 2026, the native tokens of the two protocols show different performance characteristics in the market.

Uniswap (UNI) is currently priced at $3.570, with an estimated 24-hour trading volume of about $151.85 million. Over the last 7 days it rose 11.77%, and over the last 30 days it rose 37.65%, showing strong market momentum. Its market cap is about $2.22B, ranking 48th among all crypto assets, with a market share of 0.11%.

DODO (DODO) is currently priced at $0.02180, with an estimated 24-hour trading volume of about $12.3261 million. Over the last 7 days it rose 17.38%, and over the last 30 days it rose 32.86%, with price elasticity similar to UNI. Its market cap is about $21.80 million, ranking 754th, with a market share of 0.00073%. DODO’s all-time high was $8.51 in February 2021, and its all-time low was $0.01283 in February 2026.

In terms of market cap scale, Uniswap is about 100x DODO, reflecting a significant gap between the two in ecosystem size and market recognition. But in terms of recent price performance, both benefited from the overall recovery of the DEX sector—both saw 30-day gains exceeding 30%. Notably, DODO outperformed UNI over the last 7 days (+17.38%) and the last 90 days (+24.22%) (UNI: last 7 days +11.77%, last 90 days +10.63%), showing higher price elasticity given its smaller market-cap base.

In 24-hour trading volume, UNI is about $152 million and DODO about $12.32 million—roughly a 12x difference. Considering the market-cap gap (100x), DODO’s trading volume relative to its market-cap size is not low, reflecting that its token has a certain level of trading activity.

Conclusion

DODO’s proactive market making (PMM) and Uniswap’s automatic market making (AMM) represent two directions in the evolution of DEX liquidity models. AMM is strong in simplicity and universality, achieving permissionless automated market making through the constant-product formula, making it a foundational layer of the DeFi ecosystem. PMM, meanwhile, breaks through with proactive management and capital efficiency—by introducing external price references and dynamic repricing mechanisms, it builds differentiated advantages in professional liquidity scenarios.

From a capital-efficiency perspective, the PMM model can concentrate liquidity near the market price, with capital utilization reaching dozens to over a hundred times that of traditional AMM. From slippage control, the PMM price curve is flatter in trade-dense regions, making execution costs for large trades relatively lower. From impermanent-loss management, PMM supports single-sided LPs, providing liquidity providers with more risk-management tools. From application scenarios, Uniswap’s broad adaptability and DODO’s professional focus form a complementary rather than substitutive relationship.

For traders, choosing which protocol to use depends on specific needs: if you prioritize a wide asset selection and convenient swap experience, Uniswap remains the preferred choice; if you focus on slippage costs for large trades or need fine-grained liquidity management, DODO’s PMM model offers a differentiated value proposition. The coexistence and competition between the two models together drive the DEX sector’s ongoing evolution in areas such as capital efficiency, user experience, and programmability.

FAQ

Q: What is the most core difference between DODO’s PMM model and Uniswap’s AMM model?

PMM introduces external market price as a reference, and through an algorithm it proactively concentrates liquidity near the market price, which is “active-management”-style market making. AMM relies on the constant-product formula to passively determine prices, which is “formula-driven”-style market making. The former has higher capital efficiency, while the latter is more universal.

Q: Which protocol has lower slippage in large trades?

Typically, DODO’s PMM model has lower slippage. Because PMM concentrates liquidity near the market price, the price curve is flatter, and for the same trade size the price impact is smaller than with a traditional AMM. But in deeply liquid mainstream pairs, the gap between the two may not be significant.

Q: As a liquidity provider, should I choose DODO or Uniswap?

It depends on your risk preference and ability to manage operations. Uniswap V3’s concentrated liquidity improves capital efficiency while also amplifying impermanent-loss risk; DODO supports single-sided LPs, allowing you to deposit only one token, making your risk exposure more controllable. Professional participants with market judgment ability may be better suited to DODO, while everyday users who want simple operations may be better suited to Uniswap.

Q: Does Uniswap V4’s Hook mechanism narrow the gap with DODO?

Uniswap V4’s Hook mechanism upgrades the protocol from a fixed-function DEX to programmable liquidity infrastructure, enabling developers to implement customized logic such as limit orders and dynamic fees on top of the concentrated liquidity model. This does narrow the gap with DODO in flexibility, but the two still differ fundamentally in underlying algorithm philosophy—AMM remains passive formula-driven, while PMM remains active price management.

Q: What roles do the native tokens of DODO and Uniswap play, respectively?

UNI is Uniswap’s governance token, and holders can participate in protocol governance voting. DODO, beyond governance functions, is deeply integrated into the protocol ecosystem and plays roles in areas such as liquidity incentives and trading fee discounts. The two differ in their token-economics models and practical use cases.