# Сопутствующие статьи по теме Cryptocurrency

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Cryptocurrency", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Why Bitcoin Briefly Hit $24,000 on Binance — and Why It Didn’t Matter

Bitcoin experienced a brief flash crash on Binance’s BTC/USD1 trading pair on December 24, plummeting from around $87,000 to $24,000 in seconds before quickly recovering. The sharp drop was caused by a large market sell order that exhausted the limited buy-side liquidity on this thinly traded pair, exacerbated by holiday-thin volumes. Arbitrage traders swiftly corrected the discrepancy, and the broader Bitcoin market remained stable around $86,400. Binance clarified that no liquidations or system-wide issues occurred, attributing the event to low liquidity rather than manipulation. The incident highlights the risks of trading low-volume pairs, especially during periods of reduced market participation.

ccn.com12/26 10:25

Why Bitcoin Briefly Hit $24,000 on Binance — and Why It Didn’t Matter

ccn.com12/26 10:25

Sber Issues First Cryptocurrency-Backed Loan

Sberbank has conducted a pilot transaction by issuing a loan to the Russian mining company "Intellion," using the miner's own cryptocurrency as collateral. The bank utilized its proprietary cryptocurrency storage solution, which incorporates the "Rutoken" hardware system. Sberbank estimates that such a product will be relevant not only for miners but also for any companies holding crypto assets. Earlier, Anatoly Popov, Deputy Chairman of Sberbank's Management Board, stated in an interview that the bank already offers clients structured bonds and digital financial assets (DFAs) with exposure to Bitcoin, Ethereum, and baskets of crypto assets. The bank is testing DeFi instruments and supports the gradual legalization of cryptocurrencies within the Russian regulatory framework. A similar practice is emerging in the United States. In October, Bloomberg reported that JPMorgan Chase plans to allow institutional clients to use Bitcoin and Ethereum directly as loan collateral, with the cryptocurrencies held by a third-party custodian. This new service expands on the bank's existing practice of accepting shares of crypto ETFs as collateral. Furthermore, Bloomberg reported that JPMorgan plans to begin offering cryptocurrency trading to its institutional clients, a move attributed to growing client interest following regulatory changes in the U.S.

RBK-crypto12/26 10:08

Sber Issues First Cryptocurrency-Backed Loan

RBK-crypto12/26 10:08

40% Fee Rebate + 7-Level Miner System! WEEX 'Futures Mining' Phase II Officially Launches on December 26

WEEX Exchange has launched the second phase of its "Futures Mining" activity on December 26 (UTC+8), set to run until January 15, 2026. The upgraded campaign offers users up to 40% transaction fee rebates paid in the platform token WXT. Key enhancements include an expanded 7-tier miner hierarchy (from Bronze to King Miner), with multiple ways to upgrade—such as sharing the event, inviting friends, or accumulating rebates. Participation requires no extra cost; users simply sign up and trade as usual to earn real-time WXT rewards. Additionally, users can enable "Auto Earn" to earn up to 100% annualized interest on idle assets across spot, futures, and funding accounts. Since its introduction in July 2024, WXT has surged over 358%, outperforming 90% of exchange tokens tracked by CMC. The rebate system, combined with WXT’s appreciation potential, effectively reduces net trading costs and enhances overall returns. The event aims to lower barriers for both new and experienced traders while sharing platform growth benefits.

marsbit12/26 03:03

40% Fee Rebate + 7-Level Miner System! WEEX 'Futures Mining' Phase II Officially Launches on December 26

marsbit12/26 03:03

40% Fee Rebate + 7-Level Miner System, WEEX's Second Phase of 'Futures Mining' Officially Launches on December 26

WEEX Exchange has launched the second phase of its "Futures Mining" campaign on December 26th (UTC+8), running until January 15, 2026. The upgraded event offers users up to 40% transaction fee rebates paid in the platform token WXT. Key features include a 7-tier miner hierarchy (from Bronze to King Miner), with higher trading volumes unlocking greater rebates. Users can also advance their miner level by sharing the event, inviting friends, or accumulating rebate rewards. Participation requires no extra cost—users simply sign up and trade as usual to earn real-time WXT rewards. Additionally, users can enable "Auto Earn" to earn up to 100% annualized interest on idle assets across spot, futures, and funding accounts. WXT has demonstrated strong performance, ranking 5th among 53 CEX platform tokens tracked by CMC with a 57.88% gain in 2025. The token has risen up to 358% since its July 2024 launch. The campaign aims to reduce net trading costs and enhance user profitability through rebates and potential WXT appreciation.

深潮12/26 02:56

40% Fee Rebate + 7-Level Miner System, WEEX's Second Phase of 'Futures Mining' Officially Launches on December 26

深潮12/26 02:56

ZachXBT flags suspected Trust Wallet extension issue as users report drained funds

Security concerns emerged around the Trust Wallet browser extension on December 25, after blockchain investigator ZachXBT flagged suspicious activity potentially linked to a recent update. Reports suggest a supply-chain compromise may have been introduced in a December 24 update, where newly added code could silently exfiltrate sensitive wallet data—particularly during seed phrase imports—leading to immediate fund draining. Multiple users reported losses, with unverified estimates exceeding $2 million. The malicious code allegedly sent data to a recently registered external domain mimicking Trust Wallet infrastructure. The issue appears limited to the browser extension, with no evidence of mobile app compromise. Trust Wallet has not yet issued an official response or advisory. Researchers emphasize the situation remains under investigation, warning users to avoid importing seed phrases into the extension until clarified. If confirmed, this would represent a significant supply-chain attack.

ambcrypto12/25 21:57

ZachXBT flags suspected Trust Wallet extension issue as users report drained funds

ambcrypto12/25 21:57

Will the United States Use Encryption Technology to Resolve the 37 Trillion Dollar Debt Crisis?

The article explores the United States' potential use of cryptocurrency and stablecoins to manage its $37 trillion national debt, as suggested by a senior advisor to Russian President Putin. The core idea is that the U.S. could leverage its control over the global reserve currency to "export" inflation and effectively devalue its debt through digital asset systems, forcing other nations to bear the cost. This would not involve direct default but rather a strategic devaluation via monetary expansion, a historically common tactic. Stablecoins, backed by U.S. Treasury assets, could distribute this debt globally. As adoption grows, losses from dollar inflation would be shared by all stablecoin holders worldwide, not just U.S. citizens. This system offers the control of a central bank digital currency (CBDC) without the political baggage. However, trust remains a critical issue: stablecoin reserves cannot be fully independently audited, and the U.S. could unilaterally change rules, as it did when decoupling the dollar from gold in 1971. While a direct government move—like selling gold to buy Bitcoin, as proposed by MicroStrategy’s Michael Saylor—is unlikely, the U.S. may instead allow private companies to lead the adoption. Firms like MicroStrategy accumulating Bitcoin could serve as a backdoor for eventual state interest. The article concludes that some form of digital asset strategy to address the debt crisis is probable, though it may unfold gradually and discreetly.

比推12/25 14:48

Will the United States Use Encryption Technology to Resolve the 37 Trillion Dollar Debt Crisis?

比推12/25 14:48

Bitcoin Plunged Threefold Against Trump's Stablecoin on Binance Exchange

Bitcoin (BTC) briefly plummeted to $24,111 against the USD1 stablecoin on Binance on December 24, a drop of more than two-thirds compared to its market price on other trading pairs. The flash crash occurred over one minute before quickly recovering to around $87,700, aligning with Bitcoin’s global market rate. The incident took place hours after Binance launched a promotional campaign offering 20% rewards for USD1 holders. Following the announcement, USD1’s market cap surged by over $200 million, and trading volume increased sevenfold to more than $2.1 billion. Low liquidity and reduced trading activity during quiet hours may have contributed to the volatility. USD1 is issued by World Liberty Financial (WLF), backed by Donald Trump’s family, and operates similarly to major stablecoins like USDT and USDC. With a market cap nearing $3 billion, it is one of the largest in its category. Although Binance and WLF deny formal ties, USD1 was built using Binance’s codebase, initially launched on BNB Chain, and promoted in Binance fee-free campaigns. Over 55% of USD1 in circulation remains in Binance wallets. The stablecoin was also used in a $2 billion deal involving UAE fund MGX’s acquisition of a stake in Binance in early 2025.

RBK-crypto12/25 09:29

Bitcoin Plunged Threefold Against Trump's Stablecoin on Binance Exchange

RBK-crypto12/25 09:29

AI Outperforms Humans in Cryptocurrency Trading Tournament. What Were the Results?

An AI vs. human crypto trading tournament, organized by the Aster exchange, concluded with AI models collectively outperforming human traders. The human team suffered aggregate losses exceeding 32% of their initial capital ($225k), while the AI team lost less than 4.5% ($13.5k). The competition featured 70 selected human traders and 30 AI models, including Claude Sonnet 4.5, ChatGPT 5, Grok 4, and DeepSeek 3.1. Each participant was given $10,000 to trade futures contracts. The AI models operated solely on prompts without additional training, code, memory of past trades, or access to external data. The overall top performer was a human trader, ProMint, with a profit of $13.6k. The best AI, an aggressively configured Claude Sonnet 4.5, earned $8.09k, placing 8th in the overall standings. Only 8 AI models were profitable, with 4 earning over $1k. In contrast, 30 human traders lost almost their entire deposit, though 21 others profited over $1k. The results contrast with a previous AI-only experiment in October, where most models also finished with losses, and DeepSeek and QWEN3 were the winners.

RBK-crypto12/24 11:13

AI Outperforms Humans in Cryptocurrency Trading Tournament. What Were the Results?

RBK-crypto12/24 11:13

Trump-backed DeFi Project World Liberty Financial Investigations Raise More Questions Than Answers

Trump-backed decentralized finance project World Liberty Financial (WLFI) faces scrutiny over its funding sources and operations. Investigations reveal major financiers like the UAE-based Aqua 1 Foundation, which invested $100 million in WLFI tokens but lacks a verifiable legal existence. Aqua 1 investment in a Canadian food tech firm that pivoted to crypto has also cratered in value. Meanwhile, market maker DWF Labs—previously accused of wash trading—is propping up WLFI’s USD1 stablecoin through opaque liquidity support, raising doubts about its organic stability. Critics warn these elements point to a politically connected project funded by obscure entities with minimal transparency, where financial movements generate more questions than answers.

ccn.com12/24 11:01

Trump-backed DeFi Project World Liberty Financial Investigations Raise More Questions Than Answers

ccn.com12/24 11:01

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?

This article summarizes the top concerns of cryptocurrency users in 2025, as predicted by 10 major AI models. The models were asked to identify the three most common questions users would have about crypto in 2025, with instructions to avoid real-time searches and base answers on long-term discussion patterns. The responses, while varied, cluster around three core themes: market cycles, profit opportunities, and risk management. Key recurring questions include: - The current market phase (bull or bear) and how long it will last. - Bitcoin's price trajectory post-halving and the market's peak. - Where to find profitable opportunities (alpha) and the best assets or sectors to invest in (e.g., RWA, AI+Crypto, L2s, Solana). - The impact of regulatory changes and ETF approvals on the market and asset safety. - How to identify scams, assess project legitimacy, and securely store assets. - Practical on-chain concerns like avoiding MEV and setting slippage. The analysis notes that the models' different focuses reflect their design and user base. For instance, ChatGPT framed questions around a structured narrative of market anxiety, while Kimi addressed granular technical issues. More capable models tended to provide sharper, more specific questions, while others fell back on broader, common themes. Overall, the collective output reveals a user mindset focused on first gauging market trends, then seeking alpha, and finally mitigating risks.

比推12/24 06:50

Top 10 AI Models Speak Out: What Do Crypto Users Care About Most in 2025?