KuCoin Extends Support to USD1 as WLFI Stablecoin Climbs the Ladder

TheNewsCryptoPublicado a 2026-02-02Actualizado a 2026-02-02

Resumen

KuCoin has announced support for the USD1 stablecoin issued by World Liberty Financial (WLFI). The token will be available on the AB Core Network, with deposits scheduled to begin on February 02, 2026. This move comes as USD1 rises in market capitalization, recently surpassing PayPal’s PYUSD to reach $4.96 billion. Launched in March 2025, USD1 has grown rapidly but still trails major stablecoins like USDT, USDC, USDe, and DAI. The listing follows a successful points program on Binance that distributed 12 million USD1 tokens, signaling broader adoption potential for the stablecoin.

KuCoin, an exchange platform, has announced its support for USD1. The WLFI stablecoin will be available on a network with deposits expected to commence soon. The move comes at a time when USD1 is moving upward on the list of global stablecoins in terms of market cap.

KuCoin Now Supports USD1

KuCoin, through an X post, has confirmed that it is extending support to the WLFI stablecoin, which is USD1. The token will go live on AB Core Network, with deposits scheduled to commence on February 02, 2026, at 10:00 UTC. Users can access the Deposit page to check the stablecoin. They only have to select USD1-AB Core Network to complete the transaction.

WLFI has confirmed the announcement, saying that it marks a step in the expansion of the global adoption of its stablecoin. World Liberty Financial has also hinted that it would soon bring more utilities for the community. Members have reacted positively to this announcement, by calling it epic, and expressing that they were bullish on USD1.

USD1 on the Stablecoin Chart

The list of global stablecoins is still led by Tether’s USDT with a market cap of $185.23 billion. However, USD1 seems to be making its way forward, considering it just surpassed PayPal’s PYUSD. The market cap of WLFI stablecoin is currently $4.96 billion after briefly recording a number of $5 billion on January 28 ,2026.

Interestingly, USD1 has climbed the ladder in less than 12 months, as it was launched only in March 2025. USD1 still has a long way to go because it is still behind USDC, USDe, and DAI, in the same sequence from the second position. They have a market cap of $70.38 billion, $6.55 billion, and $5.36 billion, respectively.

Earlier Success of WLFI Stablecoin

The earlier success of WLFI stablecoin is linked to Binance, after the platform announced rewarding 12 million tokens through a points program. Members only had to participate in the USD1 Points Program, and they had a chance of earning a share from the token voucher pool.

The program commenced on January 29, 2026, and is scheduled to conclude on February 27, 2026, at 8:30. Acceleration on Binance and support from KuCoin represent that there is potential for a broader adoption of USD1, as underlined by World Liberty Financial in the official announcement.

Highlighted Crypto News Today:

Senator Warren Presses for Probe Into Trump-Linked UAE Crypto Deal

Preguntas relacionadas

QWhat is the name of the stablecoin that KuCoin has announced support for?

AUSD1, which is the WLFI stablecoin.

QOn which network will USD1 be available for deposits on KuCoin, and when are deposits scheduled to begin?

AUSD1 will be available on the AB Core Network, with deposits scheduled to commence on February 02, 2026, at 10:00 UTC.

QWhat is the current market capitalization of the WLFI stablecoin as mentioned in the article?

AThe market cap of the WLFI stablecoin is currently $4.96 billion.

QWhich major exchange previously ran a points program to reward users with USD1 tokens?

ABinance ran a points program to reward 12 million USD1 tokens.

QAccording to the article, which stablecoins currently have a larger market cap than USD1?

AUSDT, USDC, USDe, and DAI all have a larger market cap than USD1.

Lecturas Relacionadas

Bitcoin Liquidation Shakeout Leaves Traders Watching $66K Resistance And $61K Support

Bitcoin's recent volatility triggered a major liquidation event, wiping out roughly $980 million in leveraged positions within 24 hours as price swung from ~$64,100 down to $60,700 and back above $63,000. Traders are now watching key technical levels. Major pivot resistance is identified at $66,247, with reclaimed highs near $64,234 and next resistance at $65,890. Critical support zones lie between $63,127-$63,354, then $62,459, with broader downside targets around $59,150-$60,171. Liquidation heatmaps show significant liquidity clusters above ($63.5K-$66K) and below ($58.5K-$61K) spot price, creating a volatile corridor. The market is in a corrective phase; a clean break above resistance is needed for a bullish shift, while failure to hold low-$63K support risks a move toward lower liquidity zones.

bitcoinistHace 14 min(s)

Bitcoin Liquidation Shakeout Leaves Traders Watching $66K Resistance And $61K Support

bitcoinistHace 14 min(s)

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

U.S. Government Bans Foreign Access to Fable 5, Anthropic Issues Rebuttal On June 12th, the U.S. government ordered AI company Anthropic to immediately suspend all foreign access—including foreign nationals within the U.S. and Anthropic's own foreign employees—to its newly released Fable 5 and Mythos 5 AI models, citing national security concerns. This forced Anthropic to temporarily disable access to both models for all users globally, as it cannot technically differentiate user nationality at scale. The models, released just three days prior, represent Anthropic's highest public capability tier. Fable 5 is the first publicly available model from the advanced "Mythos" family, while Mythos 5 is a less-restricted version for approved cybersecurity and critical infrastructure partners. The government's directive was reportedly triggered by claims from another company that it could "jailbreak" Mythos 5, raising alarm within the Trump administration. Anthropic, in a detailed public statement, strongly challenged this rationale. The company argues the demonstrated "jailbreak" is a narrow, non-generalized technique that merely involves identifying minor, known software vulnerabilities—a capability common to other publicly available models like OpenAI's GPT-5.5 and routinely used by cybersecurity defenders. Anthropic stated it has complied with the order but disagrees with the government's standard, warning that applying it industry-wide would halt all new frontier model deployments. The company criticized the lack of a transparent, fact-based legal process and expressed confidence the situation stems from a misunderstanding. It is working to restore access and will release more technical details within 24 hours. Other Anthropic models remain unaffected.

链捕手Hace 16 min(s)

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

链捕手Hace 16 min(s)

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

Foresight NewsHace 2 hora(s)

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

Foresight NewsHace 2 hora(s)

Solayer Launches Margin Trade to Consolidate Perpetual Multi-Asset Trading on Mainnet

Solayer, a high-performance SVM-compatible Layer 1 blockchain, has launched its Margin Trade platform on mainnet. This unified cross-asset perpetual trading platform merges traditional and digital finance, developed with input from institutional and crypto trading experts. It offers trading for a diverse range of assets, including top cryptocurrencies, commodities like gold and oil, and equities such as the synthetic MT500 index. Key features include cross-margin trading with a unified collateral pool for improved capital efficiency, real-time execution, and full on-chain transparency with non-custodial asset ownership. The launch includes the first perpetual market for Pearl Research ($PRL) with up to 3x leverage. Future plans involve expanding asset listings and adding isolated margin functionality. Built on the high-throughput Solayer network capable of 330,000 TPS, the platform aims to provide the speed required for serious trading. Following successful testnet phases, Margin Trade's mainnet debut marks a significant step in Solayer's goal to unify traditional and crypto markets on-chain with institutional-grade decentralized finance infrastructure.

TheNewsCryptoHace 2 hora(s)

Solayer Launches Margin Trade to Consolidate Perpetual Multi-Asset Trading on Mainnet

TheNewsCryptoHace 2 hora(s)

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

marsbitHace 4 hora(s)

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

marsbitHace 4 hora(s)

Trading

Spot

Futuros