Uniswap (UNI) v4 Captures About 50% of Quarterly DEX Volume

UNI

UNI/USDT

$4.103
-4.89%
24h Volume

$159,992,770.91

24h H/L

$4.378 / $4.03

Change: $0.3480 (8.64%)

Long/Short
62.3%
Long: 62.3%Short: 37.7%
Funding Rate

+0.0071%

Longs pay

Data provided by COINOTAG DATALive data
Uniswap
Uniswap
Daily

$4.122

-5.24%

Volume (24h): -

Resistance Levels
Resistance 3$5.0648
Resistance 2$4.477
Resistance 1$4.2821
Price$4.122
Support 1$4.1073
Support 2$3.847
Support 3$3.5948
Pivot (PP):$4.382
Trend:Uptrend
RSI (14):62.1
(02:19 PM UTC)
4 min read
AI SummaryAI
  • Uniswap v4 handled roughly half of quarterly DEX volume about 18 months after launch, according to on-chain data.
  • UNI rose 18.26% to $4.43 in the prior weekly window after protocol fee activation.
  • Protocol fees were activated on Ethereum, Base, Arbitrum, Optimism, BNB Chain, Polygon, and Robinhood Chain.
  • Protocol fees accumulate in TokenJar contracts and may feed a UNI burn mechanism.

This summary was AI-generated, AI-reviewed and published under COINOTAG editorial oversight.

UNI News

Uniswap (UNI) v4 has moved to the center of decentralized exchange activity, with on-chain data showing the latest automated market maker version handled roughly half of quarterly DEX volume about 18 months after launch. The figure, drawn from quarterly swap-flow tracking, indicates that traders and routing aggregators are concentrating execution in v4 pools rather than older versions or rival venues. For Uniswap, the shift matters because quarterly volume is a broad measure of usage, not a single-day spike, and it reflects sustained order flow through different market conditions, including bear market phases. In practical terms, an AMM that commands about 50% of sector volume becomes a primary liquidity layer for wallets, aggregators, and applications that need token swaps. That position can reinforce network effects: deeper pools can reduce price impact, tighter pricing can attract more flow, and more flow can deepen pools further. Because the metric is volume-based, it captures actual executed swaps rather than advertised liquidity, making it a cleaner gauge of venue preference than token price alone. The data point does not specify net revenue, user counts, or individual chain breakdown, so the reading is strictly an execution-share milestone. Still, the 18-month adoption window is notable because DEX liquidity tends to fragment across chains, interfaces, and incentive programs. A single protocol version capturing about half of quarterly volume suggests that integrators have standardized around v4’s pool design and routing paths. For UNI holders, the relevance is indirect at this stage: volume share alone does not change token supply, but it establishes the usage base that later protocol-parameter decisions can monetize. Our desk treats the metric as a confirmed activity signal, not a valuation promise, because quarterly DEX volume can rise with broader market turnover even if a protocol’s competitive position is unchanged. The next confirmation would be whether v4 maintains roughly 50% share across multiple quarters and whether that share persists when total sector volume contracts.

UNI’s second catalyst was a repricing tied to the protocol’s fee framework. Market data from the prior weekly window showed UNI up 18.26% at $4.43, a move that traders linked to expectations that newly enabled protocol fees could eventually be converted into token burns. The mechanism was activated through on-chain governance execution across several networks, including Ethereum, Base, Arbitrum, Optimism, BNB Chain, Polygon, and Robinhood Chain. Under that design, protocol fees are directed to a TokenJar on each chain, creating an on-chain reservoir that can later feed a UNI burn process. The important market distinction is between liquidity-provider rewards and protocol revenue: Uniswap founder Hayden Adams publicly clarified that the fee switch is additive, meaning a pool set to 30 basis points still pays 30 basis points to liquidity providers while the protocol layer can collect a separate fee. That clarification aimed to counter concern that LP returns would be diluted. For an altcoin market that often reacts quickly to supply-side narratives, the burn expectation became the dominant short-term driver. The event also underscores how governance parameters can reshape token economics without altering core swap execution. The claim is not that burns have already reduced supply by a disclosed amount; available data do not provide a burn total. The confirmed facts are fee activation, fee accumulation in TokenJar contracts, and the stated intent to use those assets for UNI burns. The weekly percentage move is more useful when paired with the governance timeline: the fee activation created a specific on-chain path from protocol usage to token-burn expectations. Our reading is that the market priced a forward-looking cash-flow-to-token link, while leaving the size, timing, and frequency of any burn undefined. Traders should separate the narrative from the mechanic: fee activation is on-chain and verifiable, while the valuation impact depends on future volume, fee rates, and governance decisions.

COINOTAG’s proprietary 42-indicator composite S/R scoring engine frames UNI at $4.1180 after a 4.87% daily decline as an uptrend testing support. The $4.0967 support scores 75/100, driven by Ichimoku Tenkan and MACD Cross confluence, while first resistance at $4.5440 scores 64/100 from R1 and Donchian Upper. A hold above $4.0967 keeps the bullish path toward $4.5440 open; losing it would shift focus to $3.8470. Derivatives show 0.0071% funding, $140.3 million open interest, and a 1.65 long-short ratio, indicating crowded longs despite a Fear reading of 27. A break below $3.8470 invalidates the near-term bullish thesis.

COINOTAG does not provide financial advisory services. This content is for informational purposes only and should not be considered investment advice. Cryptocurrency investments involve high risk.

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James Mitchell

James Mitchell

COINOTAG author

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AI-AssistedSenior Technical Analyst·James Mitchell is a senior technical analyst with over six years of dedicated cryptocurrency market analysis experience.

AI-generated, AI-reviewed, under COINOTAG editorial oversight.

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