Core Insights - Bitget, the world's largest panoramic exchange (UEX), has launched Gracy AI, the first animated digital human in the cryptocurrency sector, aimed at integrating real leadership thinking into one-on-one user interactions [2][3] - Gracy AI is built on the practical experience and decision-making thought process of Bitget's CEO, Gracy Chen, focusing on market cycles, strategies, and cognitive patterns rather than just chart analysis and short-term signals [2][3] - The launch signifies a shift in how the exchange applies AI, emphasizing contextual understanding and user engagement over mere data analysis [2][4] Company Strategy - Gracy AI is a key component of Bitget's overall AI roadmap, representing a more human-centered approach in its strategy, where technology serves understanding rather than just execution [3][4] - The AI aims to provide personalized, timely, and practical interactions, moving beyond transactional exchanges to foster user learning and growth [3][4] Market Position - Bitget serves over 125 million users and supports trading of over 2 million cryptocurrency tokens, more than 100 tokenized stocks, ETFs, commodities, forex, and precious metals [5] - The company is committed to reducing trading friction and enhancing decision quality through AI-driven market insights and intelligent trading tools [4][5] - Bitget is leading the tokenized TradFi market and offers the lowest fees and highest liquidity across 150 global regions [5]

As Bitcoin (BTC) continues sliding, Bitget CEO Gracy Chen thinks the recent weakness has less to do with deteriorating fundamentals and more to do with a structural liquidity shock that hit the crypto market on Oct. 10 last year. Speaking with TheStreet Roundtable host Jackson Hinkle, Chen argued that crypto’s macro backdrop remains constructive despite the ongoing price slump. “The fundamentals still look pretty good for crypto or for Bitcoin in general to go up,” Chen said. Interest rates are going do ...

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RT BSCN (@BSCNews)🎙EXCLUSIVE: 30-MINUTES WITH BITGET'S CMOWe sat down with @ignaciobitget, Chief Marketing Officer (CMO) at the industry-leading @Bitget exchange.Bitget recorded more than $8 trillion in derivatives volume in 2025, and an average daily volume of over $25 billion.Watch now, and learn from one of blockchain's leading executives... ⬇️Timestamps:(1:46) Will the rest of 2026 be as bearish as the start?(3:48) Has retail interest in crypto collapsed entirely?(5:58) How is Bitget adapting to bearish ...

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RT dream temple (@dreamtemple_)Archive pieces with @CryptoHayes, @SmokeyTheBera, and @GracyBitget.New chapter with @waifusweeper × @YGG_Play.Dream Temple live at Gallery HBX.Appreciate the feature, @Hypebeast.#DreamTemple #KnowThyself #WardrobeIRL ...

Maximize shareholder value v.s. maximize token holder value.tek1z (@tek1zz):@Aster_DEX You surpassed OKX and Bitget in market cap. Congrats 🎉 https://t.co/1l7BZn4qiS ...

We'll keep building & shipping."Early signals of what’s next are already emerging: wallets like Bitget Wallet have already rolled out QR-based stablecoin payments ... crypto-native settlement could potentially bypass legacy issuers entirely."Job's not finished.Jay Yu 🐟 (@0xfishylosopher):https://t.co/CUVPOihevV ...

Group 1 - Current AI trading bots rely on limited historical data, making them ill-equipped to handle unprecedented market events like significant liquidations and severe selloffs [1] - Human intervention is deemed necessary for effective trading, as AI models struggle with unfamiliar market conditions [1] - Bitget CEO Gracy Chen likened current AI bots to interns, indicating they require supervision despite being faster and cheaper [2] Group 2 - The technology behind large language models (LLMs) and machine learning in trading is rapidly advancing, but many believe human oversight remains crucial, especially during volatile market conditions [3] - Saad Naj, CEO of PiP World, highlighted that 90% of day traders and retail investors incur losses, emphasizing the risks associated with current trading technologies [3] - Naj also noted that human emotions can hinder trading performance, suggesting that AI solutions may outperform human traders [4]

Core Insights - Bitget, the world's largest Universal Exchange (UEX), has released a joint research report with blockchain security firm BlockSec titled "The UEX Security Standard: From Proof to Protection," outlining a system-level security framework for exchanges operating in a unified account environment [2][3] Group 1: Security Framework - The UEX Security Standard establishes five core benchmarks for the security of next-generation exchanges: verifiable solvency, multi-asset risk isolation, data security and privacy protection, AI-driven dynamic monitoring, and resilient application and infrastructure defense systems [3] - These standards aim to ensure controllable risks, verifiable accuracy, and build trust that can scale with increasing platform complexity [3] Group 2: Industry Shift - The transition to a Universal Exchange changes the nature of security risks, necessitating security measures that operate at a system level to ensure early risk identification and isolation through design [3] - The report reflects a broader industry shift towards integrated security architectures, emphasizing the need for platforms to demonstrate asset transparency and ensure pricing integrity [3] Group 3: Comprehensive Security Model - The report highlights that transparency, emergency response preparedness, and user education are crucial components of a comprehensive security model [3] - It positions security as a dynamic operational norm rather than a static function, which must evolve with market structures and product complexities [3][4] Group 4: Company Overview - Bitget serves over 125 million users and supports trading of more than 2 million cryptocurrencies, over 100 tokenized stocks, ETFs, commodities, forex, and precious metals [5] - The company is committed to enhancing cryptocurrency adoption through strategic partnerships, including collaborations with La Liga and MotoGP, and aims to provide blockchain education support to 1.1 million people by 2027 in partnership with UNICEF [5]