Биржа BingX представила первый индекс для отслеживания альткоинов

investing.ruОпубліковано о 2024-12-27Востаннє оновлено о 2024-12-27

Happycoin.club - Сингапурская криптобиржа BingX представила первый в мире фьючерсный индекс для отслеживания альткоинов. В индекс ALTCOIN вошли сразу несколько самых популярных и крупных альткоинов по рыночной капитализации: ETH, XRP, SOL, BNB, DOGE, ADA, TRX, AVAX, SHIB.

Новый индекс от BingX позволит криптовалютным трейдерам напрямую «отслеживать тенденции и оценивать рынок, используя многоуровневые варианты кредитного плеча и конкурентоспособные ставки», говорится в заявлении криптобиржи. У пользователей площадки не будет необходимости управлять несколькими позициями одновременно. Это предоставит возможность снизить риски и диверсифицировать активы.

Наш новый индекс призван помочь нашим менее опытным пользователям в достижении их торговых целей, особенно когда они не уверены, какой цифровой актив выбрать, и просто хотят торговать ведущими альткоинами с кредитным плечом, — сказала директор по продуктам биржи Вивьен Лин.

Она также сообщила, что состав индекса ALTCOIN будет обновляться каждый квартал в зависимости от рыночных тенденций.

В октябре BingX представила свою новую функцию безопасности — брандмауэр для криптокошелька, которая предназначена для защиты платформы от внешних угроз. Необходимость в этой разработке возникла после крупной хакерской атаки, которой биржа подверглась в сентябре и в результате которой потеряла более $43 млн.

Читайте оригинальную статью на сайте Happycoin.club

Пов'язані матеріали

How a $10B Ethereum bet puts BitMine in focus ahead of NYSE listing

BitMine is preparing for its NYSE listing with a significant $10.2 billion Ethereum (ETH) position, making up the majority of its $11.4 billion portfolio. This move is seen as a strategic bet on a potential ETH supply squeeze, driven by declining exchange reserves and a record 38.8 million ETH staked, reducing readily available supply. While ETH's price has shown modest gains with higher lows, technical indicators like RSI remain neutral and capital inflows are weak. Despite rising open interest and positive funding rates, there is a risk of market crowding. The company's heavy ETH allocation underscores its belief in Ethereum's long-term value amid shifting market dynamics.

ambcrypto4 хв тому

How a $10B Ethereum bet puts BitMine in focus ahead of NYSE listing

ambcrypto4 хв тому

The Small-Town Youth Labeling AI Giants

In China's hinterland cities like Datong, Shanxi, thousands of young people are working as data annotators—the invisible workforce behind AI development. They perform repetitive tasks like drawing bounding boxes on images or rating AI-generated responses, earning piece-rate wages as low as a few cents per task. These workers, mostly from rural areas or small towns, endure intense labor conditions: strict monitoring, high error tolerance thresholds, and mental exhaustion. Despite the cognitive nature of their work, they are often paid meager salaries, with some earning as little as ¥30 ($4) for a day’s work. As AI industry evolves, even highly educated workers—including master’s graduates—are being drawn into similar precarious freelance roles, evaluating complex AI outputs under vague and shifting standards. Yet the industry is structured through layers of outsourcing, where most profits flow to tech giants like OpenAI and Microsoft, while annotators see dwindling incomes. Worse, as AI models become more self-sufficient, the demand for human annotators is declining. Companies like Li Auto have slashed annotation costs by using AI-powered tools that complete in hours what used to take humans years. These annotators, who helped train the very systems now replacing them, face an uncertain future—a stark contrast to the booming valuations and optimistic narratives of the global AI industry. No one seems to see a problem with any of this.

marsbit29 хв тому

marsbit29 хв тому

Starting at $5, Decided in Hours: DeriW Trading Competition Edge Hour Officially Launches

DeriW has launched Edge Hour, a competitive trading product designed to offer a fast-paced, skill-based challenge for crypto traders. With a low entry fee starting at just $5 and multiple time options (1-8 hours), participants trade with 10,000 USDT in virtual funds, aiming to hit a profit target without breaching a maximum drawdown limit. Successful challenges yield rewards of 2-10x the entry fee, while losses are limited to the initial cost. The platform emphasizes fairness by eliminating the advantage of large capital, ensuring outcomes depend on trading skill and risk management. Rules such as minimum trade duration (60 seconds), trade count requirements, and caps on single-trade profits prevent gambling-like behavior. All transactions and settlements occur on-chain via DeriW Chain, ensuring transparency and efficiency with high throughput and zero gas fees. Edge Hour addresses a gap in the market by offering a prop trading-like experience with shorter cycles and lower barriers, appealing to traders seeking to validate strategies quickly. It combines competitive trading with social features, allowing users to invite friends for extra benefits. This innovation reflects a shift toward more interactive, gamified, and skill-centric trading experiences in the crypto ecosystem.

Odaily星球日报54 хв тому

Starting at $5, Decided in Hours: DeriW Trading Competition Edge Hour Officially Launches

Odaily星球日报54 хв тому

Meeting at the Pinnacle of Generalist: 30 Billion in 30 Days, What Did Qianxun AI Do Right?

Qianxun Intelligence, a Chinese embodied AI and robotics startup, completed two major funding rounds totaling 3 billion RMB within 30 days in early 2026, backed by prominent investors including Shunwei Capital (Lei Jun) and Yunfeng Capital (Jack Ma). Founded in January 2024 by a team with expertise in robotics, AI, and commercialization, the company focuses on developing general-purpose embodied AI models. Its open-source model, Spirit v1.5, surpassed competitors in performance benchmarks, demonstrating strong zero-shot generalization capabilities for complex tasks. The company follows a scaling law approach similar to large language models (LLMs), leveraging massive diverse datasets—including internet videos, wearable device data, and teleoperation data—to train its Vision-Language-Action (VLA) model. Qianxun employs a multi-source data engine, collecting over 200,000 hours of real-world interaction data, with plans to reach 1 million hours by 2026. It uses low-cost wearable devices for efficient data acquisition and emphasizes real-world deployment for continuous data feedback. The company has deployed robots like "Xiao Mo" in industrial settings (e.g., battery production lines for CATL) and commercial scenarios (e.g., as baristas in JD.com malls), using operational data to refine its models. This "commercialize while iterating" strategy supports both revenue generation and model improvement, positioning Qianxun to compete globally in embodied AI.

marsbit1 год тому

Meeting at the Pinnacle of Generalist: 30 Billion in 30 Days, What Did Qianxun AI Do Right?

marsbit1 год тому

Expert Explains What Strategy’s 89,599 BTC Buy In Q1 Means For The Bitcoin Price

Expert Adam Livingston analyzes the significance of Strategy's purchase of 89,599 BTC in Q1 2026—its second-largest quarterly accumulation—amid a downtrend and negative market sentiment. He emphasizes that this pace, if sustained for three years, could push Strategy's holdings to 1.84 million BTC by 2029, significantly reducing market supply. Notably, Strategy bought more aggressively at higher prices, with 39% of purchases in the $90k-$110k range. Livingston argues that even conservative projections point to substantial upside for both Strategy’s valuation and Bitcoin’s long-term price, especially if BTC reverts toward its $360k power-law trend by 2028.

bitcoinist1 год тому

Expert Explains What Strategy’s 89,599 BTC Buy In Q1 Means For The Bitcoin Price

bitcoinist1 год тому

Торгівля

Спот

Ф'ючерси