BTCC Exchange Wins Best Centralized Exchange (Community Choice) at BeInCrypto 100 Awards 2025

TheNewsCryptoОпубліковано о 2025-12-12Востаннє оновлено о 2025-12-12

Анотація

BTCC, the world's longest-serving cryptocurrency exchange, has been awarded Best Centralized Exchange (Community Choice) at the BeInCrypto 100 Awards 2025. This award, determined by user votes, recognizes BTCC's 14-year commitment to security, transparency. The exchange serves over 10 million global users and achieved a record $1.15 trillion in trading volume in Q3 2025. To celebrate, BTCC is launching a trading competition with a 10 million USDT prize pool and a special giveaway for its community.

Vilnius, Lithuania, December 12th, 2025, Chainwire

BTCC, the world’s longest-serving cryptocurrency exchange, has been named Best Centralized Exchange in the Community Choice category at The BeInCrypto 100 Awards 2025. The award was announced during a live virtual ceremony on December 10, 2025.

The BeInCrypto 100 Awards is an annual event celebrating the leaders, products, and initiatives shaping the future of Web3, organized by BeInCrypto, a reputable independent news and media platform, in partnership with Binance Square. In the “Best Centralized Exchanges” category, BTCC received the highest number of votes from global cryptocurrency users.

“Winning the community vote for ‘Best Centralized Exchange’ is incredibly meaningful,” said Aaryn Ling, Head of Branding at BTCC. “This award reflects the trust that our 10 million users place in BTCC every day. It validates our 14-year commitment to transparency, security, and putting our community first.”

A Track Record That Speaks for Itself

BTCC’s recognition is supported by strong operational metrics throughout 2025. The platform now offers over 400 futures trading pairs and more than 460 spot trading pairs, providing comprehensive access to the latest and most popular markets for over 10 million global users. In Q3 2025 alone, BTCC achieved a record of $1.15 trillion in both futures and spot trading volume, marking 20% quarter-over-quarter growth.

Underpinning these achievements is BTCC’s 14-year security record. Since its founding in 2011, the exchange has maintained a zero-incident track record with no security breaches, a rare distinction in an industry where trust and security are paramount.

The BeInCrypto award caps a year of industry recognition for BTCC. The exchange earned triple honors from FXEmpire in 2025 as the Lowest Fee Crypto Exchange, Best Fiat-to-Crypto Trading Platform, and Best Crypto Exchange in the USA. BTCC’s growing mainstream presence is further reflected in its partnership with NBA All-Star Jaren Jackson Jr., the 2023 Defensive Player of the Year, as global brand ambassador, connecting the mass public audience with crypto accessibility.

Community Celebration: 10M USDT Flagship Campaign and Giveaway

To mark the occasion, BTCC is launching a trading competition featuring a 10 million USDT prize pool, among the larger offerings in recent exchange-led events. The competition is open to global participants. Additional details will be provided on BTCC’s official X account.

Additionally, BTCC is thanking the community with a special giveaway for their continued support, offering 1,000 USDT to 10 winners. Full details are now available on BTCC’s X account (@BTCCexchange).

Looking ahead to 2026, BTCC plans to expand its spot and futures offerings, introduce additional platform features, and increase engagement with global communities, continuing its development strategy following this year’s activities.

About BTCC

Founded in 2011, BTCC is a leading global cryptocurrency exchange serving over 10 million users across 100+ countries. Partnered with 2023 Defensive Player of the Year and 2x NBA All-Star Jaren Jackson Jr. as global brand ambassador, BTCC delivers secure, accessible crypto trading services with an unmatched user experience.

Official website: https://www.btcc.com/en-US

X: https://x.com/BTCCexchange

Contact

Aaryn Ling
press@btcc.com

Пов'язані матеріали

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbit54 хв тому

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbit54 хв тому

Intel CEO Liwu Chen's First Podcast Interview: Our Goal is '10x in 5-10 Years', Betting on Advanced Packaging, Glass Substrate, and Synthetic Diamond

Intel CEO Chen Liwu outlines a bold vision for the company's transformation in a podcast interview, targeting a "10x return in 5-10 years." He emphasizes a strategic shift beyond traditional process node scaling, focusing on advanced packaging (like EMIB), new materials (glass substrates, GaN, SiC, InP, synthetic diamond), and system-level integration. Key to this is Intel's foundry business, where he prioritizes building trust through superior yield, defect density, and cycle times. Chen sees strong CPU demand resurgence driven by agent AI and inference workloads. He details the Terafab collaboration with Elon Musk to address semiconductor infrastructure gaps and stresses the strategic importance of U.S.-based advanced manufacturing. Acknowledging Intel is still in the "crawl" phase of his crawl-walk-run framework, Chen believes the company's full potential—extending from its PC base into edge computing and physical AI—will become apparent by 2030-2032.

marsbit59 хв тому

Intel CEO Liwu Chen's First Podcast Interview: Our Goal is '10x in 5-10 Years', Betting on Advanced Packaging, Glass Substrate, and Synthetic Diamond

marsbit59 хв тому

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit1 год тому

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit1 год тому

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit3 год тому

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit3 год тому

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit3 год тому

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit3 год тому

Торгівля

Спот
Ф'ючерси
活动图片