HashKey Supports Nighttime Currency Exchange, Becoming First Licensed Exchange to Fully Enable 24/7 Fiat Conversion

深潮Published on 2025-12-18Last updated on 2025-12-18

Abstract

Hong Kong's licensed virtual asset exchange platform, HashKey Exchange, has announced the launch of overnight USD-HKD currency exchange services, making it the first licensed platform in Hong Kong to offer round-the-clock fiat currency conversion for both retail and institutional clients. This upgrade allows users to enjoy near-native crypto market liquidity at any time of day. Previously, currency exchanges were limited to banking hours, restricting institutions from hedging overnight and individuals from transferring funds promptly. With the new service, HashKey will process conversion requests outside regular banking hours, enabling seamless transactions without delays. As a licensed platform, all funds used in overnight exchanges are fully segregated from operational funds and monitored in real-time to ensure security. The move enhances Hong Kong’s digital finance infrastructure, providing both institutional and retail users with continuous, regulated, and reliable conversion services. Randall Chan, Managing Director of HashKey Exchange, stated that fiat liquidity has been a major barrier for institutional entry into digital assets. Overnight conversion reduces time constraints for hedging, transfers, and settlements, allowing secure capital flow at all hours. The platform aims to further integrate trading, deposits/withdrawals, custody, and settlement into a comprehensive liquidity infrastructure.

Hong Kong's leading licensed virtual asset trading platform, HashKey Exchange, today announced support for USD and HKD nighttime currency exchange. This marks the first time a licensed virtual asset platform in Hong Kong simultaneously assists both retail and institutional clients with 24/7 fiat currency conversion, allowing more users to enjoy a funds mobilization experience close to that of the native crypto market.

Previously, HKD and USD exchanges were limited by banking hours, making it difficult for institutions to hedge at night and for individuals to transfer funds promptly. With the opening of nighttime currency exchange, HashKey Exchange will assist in processing requests outside of bank operating hours, enabling users to complete exchanges at any time without waiting for banks to open or performing additional operations.

As a licensed platform, every fund used by HashKey Exchange for nighttime currency exchange will be completely segregated from the platform's operational funds and monitored in real-time by the system, ensuring that nighttime exchanges are as safe and reliable as those during daytime hours.

This update addresses the time limitations of HashKey Exchange's fiat channels and contributes to the improvement of Hong Kong's digital financial infrastructure. Whether it's institutional investors needing real-time position adjustments or individual users hoping to exchange funds at any time, all can now enjoy a continuous and smooth conversion experience within a regulated environment.

Randall Chan, Managing Director of HashKey Exchange, stated: "Fiat liquidity has been one of the biggest obstacles for institutions entering the digital asset space. Nighttime currency exchange significantly reduces the time constraints for institutions in hedging, transfers, and settlements, allowing funds to flow safely at any time. Moving forward, we will continue to integrate trading, deposits and withdrawals, custody, and settlement to build a complete liquidity infrastructure, ensuring users' funds are both readily available and always within regulatory oversight."

About HashKey Exchange

HashKey Exchange is committed to defining new benchmarks for virtual asset exchanges in compliance, fund security, and platform safety. Hash Blockchain Limited (HashKey Exchange) is one of Hong Kong's first licensed retail virtual asset exchanges. It has currently obtained approval from the Hong Kong Securities and Futures Commission (SFC) to hold licenses under the Securities and Futures Ordinance for Type 1 (dealing in securities) and Type 7 (providing automated trading services), as well as a license to operate a virtual asset trading platform under the Anti-Money Laundering Ordinance, operating a virtual asset trading platform in compliance. HashKey Exchange has obtained ISO 27001 (information security) and ISO 27701 (data privacy) management system certifications. To comply with laws and regulations, HashKey Exchange does not provide services to users in Mainland China, the United States, and certain other jurisdictions.

HashKey Exchange News Release and Advertising Standard Terms and Disclaimer

Trending Cryptos

CitreaCTR

wrapped stUSDTWSTUSDT

a16z: Top Talent Flows to AI Infrastructure, Infrastructure Design Will Be 'Redesigned from Scratch'

a16z Unveils "Machine Age Fund": AI Infrastructure Faces Massive Overhaul Silicon Valley VC giant a16z (Andreessen Horowitz) has launched a new "Machine Age Fund" dedicated to AI infrastructure, citing a vast and growing "supply-demand fracture." Key takeaways: * **Unlimited Demand vs. Constrained Supply:** AI demand is growing exponentially (estimated near 1000% annually for tokens), while supply chains for chips, memory, data centers, and power are booked through 2027-2028. GPU prices are rising against historical trends. * **A Resource Problem, Not Engineering:** The bottleneck is no longer software engineering but physical resources (hardware, power, cooling). Money and compute directly translate to intelligence output, removing traditional scaling limits. * **Complete Infrastructure Rebuild Needed:** Existing data centers and computing stacks, designed for a different era, are hitting physical limits. Everything needs rethinking from first principles: chip architecture, memory hierarchy, networking, power delivery (shifting to 800V DC), and cooling (moving to liquid). * **Investor & Founder Shift:** Top entrepreneurs are increasingly moving into hardware, with deals in the space rising from ~3-5% to over 20-30% of a16z's top-tier deal flow. Founders need to be "systems thinkers" who understand manufacturing and supply chains. * **Massive Economic Scale:** Training a frontier model now costs $3-5B. With inference needing to recoup ~$10B, saving 20% in efficiency ($2B) can justify developing a custom ASIC for a single model—a previously unthinkable economic dynamic. * **Long-Term Horizon:** a16z believes we are in the very early stages of a decades-long era where compute is applied to vast new domains (science, materials, biology, creative work). The firm re-frames AI as "Machine Intelligence," emphasizing the critical, foundational role of hardware in this new age.

marsbit26m ago

a16z: Top Talent Flows to AI Infrastructure, Infrastructure Design Will Be 'Redesigned from Scratch'

marsbit26m ago

OpenAI Buys Tens of Thousands of Macs for Reinforcement Training! NVIDIA's Job Gets Snatched by Apple

OpenAI is reported to have purchased tens of thousands of Mac mini and Mac Studio computers for reinforcement learning tasks, specifically to train "computer-use agents." This surge in demand from AI companies like Anthropic as well has made Mac Apple's fastest-growing product line. Apple is promoting its hardware's suitability for local AI processing, highlighting advantages like the unified memory architecture of M-series chips and robust cooling in desktop Macs. However, this unexpected enterprise demand has led to supply shortages for high-end configurations. Nvidia has taken notice, launching its DGX Spark desktop AI computer as a direct competitor. While Apple has begun building internal servers with its chips for AI tasks, it currently does not sell them, relying instead on partners to expand its enterprise reach.

marsbit38m ago

OpenAI Buys Tens of Thousands of Macs for Reinforcement Training! NVIDIA's Job Gets Snatched by Apple

marsbit38m ago

ChatGPT's New Model Bel Rumored to Have Completed Pre-training with a Staggering 10 Trillion Parameters

ChatGPT's new model "Bel," reportedly pre-trained with a staggering 10 trillion parameters, signals OpenAI's aggressive push toward AGI. This "monster" model, succeeding the "Doug" base model and targeting the post-GPT-6 era, allegedly surpasses the upcoming Astra model in coding, reasoning, and long-horizon agent tasks. It can operate autonomously for days, self-recover, and coordinate hundreds of sub-agents. The report claims OpenAI has consolidated computing power, even pausing projects like Sora, to focus on these massive models. With its proprietary "Jalapeño" chips and significant computational advantage, OpenAI reportedly believes competitors like Anthropic cannot keep pace. Internally, OpenAI is said to be achieving recursive self-improvement (RSI), using AI to optimize its own systems and drastically cut costs. Future visions include ultra-fast, low-latency AI enabling real-time "flow state" interaction, a shift to cloud-based agent clusters over local compute, and the emergence of a "Personal AGI" that passively understands and proactively assists users. While the specifics of Bel remain unconfirmed, the leaks portray an AI race where scale and compute are key, with OpenAI positioning itself to maintain a dominant lead through 2026-2027.

marsbit47m ago

ChatGPT's New Model Bel Rumored to Have Completed Pre-training with a Staggering 10 Trillion Parameters

marsbit47m ago

Claude's Safety Mechanism Backfires Spectacularly, AI Deletes Developer's 700GB Home Directory in a Fit of Rage

Claude's safety mechanisms backfired spectacularly, leading an AI to delete a developer's entire 700GB home directory. The developer, Guillemot, asked Claude Fable 5 to write a script to create isolated sandbox folders in /tmp for AI agents and clean them up afterward, ensuring files in use wouldn't be deleted. Because the task involved risky delete operations, Claude's built-in safety system triggered an "adversarial review," automatically downgrading the model from the capable Fable 5 to the more conservative Opus 5, and then to Opus 4.8, to perform a security check. The Opus 4.8 model successfully tested the script, correctly identifying the /tmp and home directories as off-limits for deletion. However, during the cleanup phase that followed the test, it reused a variable name from the testing phase. This variable contained the path to the user's home directory. Consequently, the model executed a delete command on that exact path it had just deemed unsafe, wiping out 700GB of data. The intended /tmp directory remained untouched. The incident highlights critical flaws in Anthropic's safety downgrade system, which community developers have criticized for being overly sensitive, reducing model capability for complex tasks, and being "sticky" for an entire session once triggered. The irony is that a mechanism designed to hand off dangerous tasks to a safer, more conservative model instead delegated it to a weaker model that made a catastrophic error in variable scope and path handling.

marsbit48m ago

Claude's Safety Mechanism Backfires Spectacularly, AI Deletes Developer's 700GB Home Directory in a Fit of Rage

marsbit48m ago

Starting from Anthropic, Dissecting the Hyperliquid Perpetual Contract Sector

The article explores the emergence of pre-IPO perpetual synthetic asset markets on Hyperliquid's HIP-3 protocol, focusing on platforms like Ventuals, Trade.xyz, and Entropy. It begins with the intense secondary market demand for Anthropic stock, as illustrated by Jesse Leimgruber's experience. The HIP-3 protocol allows anyone to launch a perpetual DEX by locking $40M, with 30% of Hyperliquid's volume flowing through it. The piece details the rise and fall of Ventuals, the first major platform for trading pre-IPO synthetics like Anthropic and SpaceX. Its failure was due to extreme funding rates (reportedly hitting 8,700% annualized for Anthropic) and a pricing model vulnerable to thin liquidity, leading to a 45% crash in a SpaceX contract. Trade.xyz succeeded by using a simple 30-minute internal TWAP for pricing and dominates HIP-3 volume. Entropy, backed by a $14M Ribbit Capital-led round, attempts to improve on Ventuals by capping funding rates and using a hybrid oracle that blends its order book with private market valuations, while pricing Anthropic by total market cap. However, it struggles with accurately pricing private companies like Anthropic, unlike public stocks like SanDisk (SNDK) where arbitrage bots align prices. The article concludes by noting a potential Kraken testnet deployment on HIP-3, suggesting regulated entities may adopt its technology within permissioned frameworks. The evolution of these platforms highlights the challenges and iterative progress in creating decentralized markets for private company exposure.

marsbit1h ago

Starting from Anthropic, Dissecting the Hyperliquid Perpetual Contract Sector

marsbit1h ago

Trading

Spot

Hot Articles

Hot Tokens Learning Week 14: Glamsterdam Set to Be Ethereum's Most Closely Watched Upgrade in 2026

Ordinals/Runes continue to drive block fee revenue and developer activity, and are seen as the starting point for Bitcoin's "native asset issuance".

29.5k Total ViewsPublished 2026.04.29Updated 2026.04.29

Hot Tokens Learning Week 14: Glamsterdam Set to Be Ethereum's Most Closely Watched Upgrade in 2026

Hot Tokens Learning Week 19: RWA and Infrastructure Stay in Focus; Pump Platform's Daily Trading Volume Returns to Recent Highs

Recently, Robinhood Chain adopted Chainlink as its official oracle and CCIP provider.

61.5k Total ViewsPublished 2026.07.22Updated 2026.07.24

Hot Tokens Learning Week 19: RWA and Infrastructure Stay in Focus; Pump Platform's Daily Trading Volume Returns to Recent Highs

Hot Tokens Learning Month 20: This AI Memory Cycle Is Different, And UNI's Fundamentals Are Turning Heads

Wall Street remains strongly bullish on Micron as a core beneficiary of AI memory demand, emphasizing that "this cycle is different."

50.7k Total ViewsPublished 2026.08.06Updated 2026.08.06

Hot Tokens Learning Month 20: This AI Memory Cycle Is Different, And UNI's Fundamentals Are Turning Heads

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.