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Meme project NUDES on Robinhood Chain has surpassed $14 million in market capitalization, surging more than 250% in the past 24 hours.

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Per GMGN market data, Robinhood Chain meme project NUDES currently has a market capitalization of roughly $14.27 million, with its token trading at $0.0142, a 257.5% gain in the past 24 hours, and a 38.72% rise over the last six hours. The token’s market cap once touched a historical peak of about $15.94 million, and has now retreated to around $14.27 million.

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Robinhood Chain’s data hits a new record, with daily on-chain revenue surpassing $4 million, topping the public blockchain sector.

According to DeFiLlama data, Robinhood Chain’s 24-hour DEX trading volume hit approximately $1.851 billion, marking the sixth consecutive day it has set a new all-time high. Currently, this volume ranks second among all blockchains, trailing only Solana (around $2.531 billion) and outpacing Ethereum (around $1.32 billion), BSC (around $1.181 billion), and Base (around $800 million). Over the same period, Robinhood Chain’s on-chain fees stood at roughly $4.45 million, while its on-chain revenue reached about $4.01 million—both ranking first in DeFiLlama’s chain metrics. Breaking down the figures: Robinhood Chain’s 24-hour Chain Fees totaled around $4.45 million, while the combined fees of Solana, BSC, Ethereum, and Base came to roughly $1.49 million. In terms of revenue, Robinhood Chain’s 24-hour network layer revenue hit approximately $4.01 million, compared to just $288,000 in combined revenue from Base, Solana, Ethereum, and BSC. This means Robinhood Chain’s single-chain daily revenue is roughly 13.9 times the combined total of these four chains. Furthermore, the surging trading activity on Robinhood Chain has caught the attention of wallet projects. OKX Wallet announced today that users trading Robinhood Chain tokens via OKX’s built-in DEX will receive a limited-time full gas fee subsidy. Binance Wallet also announced the launch of a 20% fee reduction promotion for Robinhood Chain today.

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BonkGuy’s holdings have surged by over $9.8 million in the past month, with PONS, USELESS, and MARSCOIN contributing the bulk of its unrealized gains.

According to Lookonchain’s monitoring, trader BonkGuy (Unipcs) has seen his portfolio value surge by over $9.8 million in the past month. His current holdings boast unrealized gains of roughly $5.63 million from PONS, $1.57 million from USELESS, and $1.43 million from MarsCoin, earning him the title of the top-ranked trader on the Fomo platform.

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Meme project token Index hits a new all-time high market cap of $64.92 million before pulling back, surging more than 65% in the past 24 hours.

According to GMGN market data, the Robinhood Chain Meme project Index hit an all-time high market capitalization of $64.92 million before pulling back, with its current market cap standing at approximately $59.33 million. It has rallied 65.7% over the past 24 hours, with a trading volume of roughly $9 million.

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Standard Chartered Expands Crypto Footprint: Launches Institutional-Grade Bitcoin and Ethereum Spot Trading Services in UAE

Standard Chartered has become the first global systemically important bank (G-SIB) to offer Bitcoin (BTC) and Ethereum (ETH) spot trading services in the United Arab Emirates (UAE) for institutional clients, according to a Reuters report. The new service allows eligible institutional clients to conduct deliverable BTC and ETH spot trades via the bank’s existing electronic trading channels, with access to its foreign exchange interface for crypto asset transactions. This expansion builds on Standard Chartered’s digital asset custody operations: the lender launched digital asset custody services in the UAE in September 2024, and first rolled out BTC and ETH spot trading for institutional clients via its UK branch in July 2025. Clients may select custodians—including Standard Chartered’s own digital asset custody solution—for trade settlement.

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Hyperliquid: Permissionless deployment pushes HIP-4 prediction market trading volume nearly threefold, with market access remaining a key limitation.

Hyperliquid Research Collective (HRC) released a report noting that after Hyperliquid opened third-party permissionless deployment for its HIP-4 prediction market layer on August 29, the platform’s trading volume grew rapidly. The average daily trading volume of HIP-4 in the first 28 days of August was around $545,000; following the deployment opening, single-day volume hit $1.97 million on August 31, with a 24-hour trading volume reaching $2.75 million, and the number of active traders rose from 1,256 to 1,841. The report points out that prediction market project Outcome has been the main beneficiary, currently accounting for nearly 85% of HIP-4’s total trading volume, and its $1 million trading incentive program further boosted liquidity growth. HRC attributes Hyperliquid’s core advantage to its unified account system: prediction markets can share the same account environment as perpetual contracts and HIP-3 assets, allowing users to hedge perpetual positions via prediction market contracts—an experience not currently offered by platforms like Kalshi and Polymarket. Sports prediction markets may become HIP-4’s largest growth area. During the recent World Cup, HIP-4-related markets recorded a cumulative trading volume of $189.5 million, accounting for around 3% of the global World Cup prediction market trading volume. However, HRC states that HIP-4’s current main limitation is not on-chain deployment, but regulatory access. The U.S. market involves regulatory frameworks from the CFTC, SEC, and other bodies, with sports prediction markets in particular likely triggering gambling-related regulatory scrutiny. HIP-4 has proven that permissionless deployment can rapidly expand trading scale, but whether it can further grow its market share will depend on the regulatory environment, recovery of the sports market, and future governance votes.

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DeepSWE Swaps Top Spot Twice Overnight: Gemini Just Claimed First Place, Meta Notches 75.4%

Beating AI Express: Right after Gemini 3.8 Flash launched, Google scored 73.7% on DeepSWE v1.1. The DeepSWE official leaderboard now lists the model at 74%±1%, placing it ahead of Claude Opus 5 and GPT-5.6 Sol. Just hours later, Meta unveiled Muse Spark 1.3, which notched a 75.4% score on the same DeepSWE benchmark, pushing the public benchmark score up by an additional 1.7 percentage points. The test tasks agents to independently complete long-cycle software engineering tasks from 113 real codebases. Both Google and Meta used the mini-swe-agent framework: Google ran the high inference profile, while Meta used the max profile. Meta's previous-generation Spark 1.2 only scored 55.0%, marking a 20.4 percentage point jump this time around. However, Meta's 75.4% score has not yet been added to the official DeepSWE leaderboard. On Artificial Analysis's Coding Agent Index, the limited-preview Spark 1.3 max scored 68 points, second only to Claude Opus 5; the currently publicly available xhigh version of the model scored 64 points.

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