Hong Kong Grants Crypto License to Victory Fintech, Expands Regulated Digital Asset Market

TheNewsCryptoPublished on 2026-02-17Last updated on 2026-02-17

Abstract

Hong Kong's Securities and Futures Commission (SFC) has granted a cryptocurrency trading license to Victory Fintech, a publicly listed financial services company. This marks the first such license issued since June 2025, bringing the total number of licensed crypto trading platforms in Hong Kong to 12. The city introduced a strict crypto licensing regime in 2023, requiring all virtual asset trading platforms to obtain SFC approval. Due to stringent compliance requirements, major global exchanges like OKX and Bybit withdrew their applications in 2024. Unlicensed operations have been treated as a criminal offense since June 2024. Regulators are gradually expanding permitted crypto services, now allowing licensed brokers to offer virtual asset margin financing—initially only with BTC and ETH as collateral—and perpetual contracts to professional investors under strict guidelines. Hong Kong aims to balance innovation with investor protection, maintaining a tightly controlled regulatory environment. Future plans include introducing draft legislation in 2026 to regulate crypto advisory services. Currently, no stablecoin issuers have been approved by the Hong Kong Monetary Authority.

Hong Kong’s Securities and Futures Commission (SFC) has approved a license to a cryptocurrency trading platform for Victory Fintech, which is a publicly listed financial service company. Since June 2025, this was the first license issued by SFC, with a total of 12 licensed crypto trading platforms in Hong Kong.

Strict Crypto Rules of Hong Kong

Hong Kong introduced its crypto licensing regime in 2023. Under this framework, all the virtual asset trading platforms must obtain formal approval from the SFC to operate, which makes this system one of the strictest among other global hubs. Major global exchanges like OKX and Bybit withdrew their applications in 2024 due to the strict compliance requirements, and since June 2024, the unlicensed crypto platform in Hong Kong has been treated as a criminal offense.

The approval for Victory Fintech came right after the Hong Kong regulators gradually expanded permitted crypto services. Recently, SFC announced that the licensed brokers can now offer virtual asset margin financing, and only BTC and ETH are initially approved as collateral. Now platforms can also offer perpetual contracts to professional investors under strict guidelines. This shows that Hong Kong is carefully broadening the crypto products in the market under tight control.

Future regulation plans

Hong Kong regulators are planning to implement more rules. In January, Christopher Hui, who was the Financial Services and Treasury secretary, announced that authorities are planning to introduce draft legislation in 2026 to regulate the firms offering crypto advisory services. However, right now, Hong Kong’s Monetary Authority has not yet approved any stablecoin issuers.

Hong Kong aims to balance innovations with strong investor protection by approving a license to Victory Fintech. Hong Kong remains with strict but structured crypto regulations, with only fully compliant firms allowed to operate.

Highlighted Crypto News:

Trezor and Ledger Users Targeted by Fraudulent Physical Mail Scams

TagsDigital AssetHong KongMarket

Related Questions

QWhat is the significance of Victory Fintech receiving a crypto license from Hong Kong's SFC?

AVictory Fintech is the first company to receive a crypto trading license from Hong Kong's Securities and Futures Commission (SFC) since June 2025, bringing the total number of licensed platforms to 12, which expands the regulated digital asset market in the region.

QWhy did major global exchanges like OKX and Bybit withdraw their applications in Hong Kong?

AOKX and Bybit withdrew their applications due to the strict compliance requirements of Hong Kong's crypto licensing regime, which mandates formal SFC approval for all virtual asset trading platforms to operate legally.

QWhat new services can licensed brokers in Hong Kong now offer according to recent SFC announcements?

ALicensed brokers can now offer virtual asset margin financing with BTC and ETH initially approved as collateral, and they can also provide perpetual contracts to professional investors under strict guidelines.

QWhat future regulatory plans did Christopher Hui announce for Hong Kong's crypto market?

AChristopher Hui, the Financial Services and Treasury secretary, announced that authorities plan to introduce draft legislation in 2026 to regulate firms offering crypto advisory services.

QHow does Hong Kong's approach to crypto regulation balance innovation and investor protection?

AHong Kong aims to balance innovation with strong investor protection by maintaining strict, structured crypto regulations that allow only fully compliant firms, like Victory Fintech, to operate in the market.

Related Reads

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit50m ago

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit50m ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2h ago

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit2h ago

Trading

Spot
活动图片