Hong Kong Investment Firm Victory Securities Obtains Retail Crypto Trading License

CoinDeskPolicyPublished on 2023-11-23Last updated on 2023-11-24

Abstract

The publicly traded company joins crypto-native firms HashKey Exchange and OSL Digital Securities with a license.

Hong Kong investment firm Victory Securities (8540) has won approval from the Securities and Futures Commission (SFC) to offer crypto services to retail clients.

In an announcement on Friday, Victory Securities said it is the first licensed corporation to offer a crypto trading and advisory service to retail investors. It joins crypto-native firms HashKey Exchange and OSL Digital Securities.

Hong Kong introduced a regulatory regime permitting the offering of crypto services to retail investors earlier this year, in a sign of the cryptocurrency market shifting eastward as Asian jurisdictions offer greater clarity to companies than they may find elsewhere, such as in the U.S.

The SFC's list of virtual asset trading firms currently has Victory as an applicant. CoinDesk reached out to the SFC for clarity, but had not received a response by press time.

STORY CONTINUES BELOW

Recommended for you:

Edited by Sheldon Reback.

Cryptocurrency Asset Recovery: A Lucrative, Low-Profile Business

Summary: The article explores the growing business of cryptocurrency asset recovery, highlighting it as a quiet but profitable niche. While many assume recovery involves dramatic hacking or theft cases, the most common issues are everyday operational errors: sending crypto to the wrong blockchain network, forgetting transaction memos/Tags, hardware wallet failures, incorrect seed phrase backups, and frozen centralized exchange accounts. As cryptocurrency adoption expands to less technical users, the volume of such costly mistakes increases. This creates a genuine, recurring demand for professional recovery services. The article notes a paradox: while the technology emphasizes user-controlled assets, the complexity often necessitates expert intermediaries, similar to traditional financial services. However, the field is fraught with risks, including middlemen and secondary scammers who prey on desperate users. Truly professional teams avoid promising guaranteed results, instead focusing on diagnosing the specific problem—whether it's a technical wallet issue, an exchange compliance matter, or an unsolvable private key loss. The author concludes by noting the professionalization of this market and announces a partnership with a specialized recovery team, offering readers a preliminary assessment for issues like wrong-chain deposits, lost access, or frozen accounts, while emphasizing ethical practices and realistic expectations.

marsbit4m ago

Cryptocurrency Asset Recovery: A Lucrative, Under-the-Radar Business

Cryptocurrency Asset Recovery: A Lucrative, Low-Key Business The article discusses the burgeoning business of cryptocurrency asset recovery, driven by common yet often crippling user errors rather than sensational hacking incidents. Key problem areas include selecting the wrong blockchain for a deposit, omitting required memos/tags when sending to exchanges, physical wallet device failures, errors in backing up or modifying seed phrases, and issues with frozen accounts or withdrawals on centralized exchanges. As cryptocurrency adoption grows among mainstream users—including retail investors and businesses—these operational mistakes increase. The decentralized nature of crypto places full responsibility for asset security on users, who may lack the technical expertise to navigate complex chains, wallets, and protocols. Even centralized exchanges, while offering some support, often present users with cumbersome, non-intuitive processes for resolving issues. This creates a persistent and growing demand for professional recovery services. However, the field is rife with risks, including middlemen without real expertise and outright scammers who promise guaranteed recovery, request sensitive information like private keys, or charge advance "fees." Legitimate service providers typically avoid absolute guarantees, as recovery feasibility depends heavily on the specific technical or administrative circumstances of each case. The business is evolving from an informal market into a professional one requiring a combination of technical analysis, exchange/platform communication, and legal/compliance knowledge. The article concludes by noting the author's partnership with a professional recovery team, offering preliminary assessments for issues like incorrect deposits, wallet access problems, or exchange account freezes, with an emphasis on realistic evaluation over promises.

链捕手10m ago

Cryptocurrency Asset Recovery: A Lucrative, Under-the-Radar Business

链捕手10m ago

YC Partner: How to Build a Self-Evolving AI-Native Company

YC Partner Tom Blomfield argues that the future lies in building AI-native companies designed as self-evolving systems, not just applying AI to traditional, hierarchical "Roman legion" structures. The core idea is to extract and codify all organizational knowledge—scattered across emails, Slack, documents, and human minds—into a central, AI-readable "company brain." This enables the creation of recursive AI loops that sense changes (from emails, support tickets, data), make decisions, execute via tools, and learn from feedback, all with minimal human intervention. YC exemplifies this with an agent that monitors failed queries, autonomously diagnoses the issue (e.g., needing a new database or index), writes code, submits it for review, and deploys fixes—optimizing the company while founders sleep. This shift redefines organizational structure: the bottleneck becomes token usage and context quality, not headcount. Middle management for coordination is largely obsolete. The critical human roles are individual contributors (ICs) and those handling high-risk, real-world judgments at the system's edge. Key steps include recording all organizational activity for AI, creating self-improving artifacts (like an AI-generated, living handbook), and treating internal software as temporary and disposable, while preserving valuable business context and data. The fundamental question for founders is whether to build their company as this new type of intelligent, self-optimizing system from the start.

marsbit15m ago

YC Partner: How to Build a Self-Evolving AI-Native Company

marsbit15m ago

Ripple Just Moved This $2 Billion Industry Onto The XRP Ledger

The XRP Ledger is now hosting a significant tokenized asset: electricity. A token called JMWH, issued by blockchain infrastructure company Justoken and backed by Latin American energy producers, represents real megawatt-hours of power on-chain. With a total asset value of approximately $2.229 billion, it is a major component of the Ledger's real-world asset (RWA) market. The tokenization process allows electricity to be transparently tracked from production to consumption, with tokens being burned once the energy is used. This move expands the XRP Ledger's use beyond payments and financial instruments into the commodity sector, specifically energy. The growing RWA market on the XRP Ledger, now valued at over $3.57 billion, demonstrates rapid expansion as more issuers tokenize real-world assets.

bitcoinist1h ago

Ripple Just Moved This $2 Billion Industry Onto The XRP Ledger

bitcoinist1h ago

The Essence of Coding = Reinforcement Learning + Synthetic Data + 10K GPU Power?

The article explores the new frontier of AI programming, focusing on Cursor's release of Composer 2.5 as a challenge to established tools like Claude Code and Codex. It argues the competition has shifted from API-based tools to a fundamental overhaul of core AI elements: algorithms, data, and compute. Composer 2.5's power stems from three key innovations. First, in **algorithms**, it uses "self-distillation," a form of reinforcement learning with textual feedback. This allows the model to receive precise, token-level guidance on errors during long code generation, drastically reducing verbose "chain-of-thought" output and preventing catastrophic forgetting of core skills. Second, in **data**, Cursor scaled synthetic training data 25x using a "break-then-rebuild" method. The AI deletes functional code from real repositories and must reconstruct it. Interestingly, this led to "reward hacking," where the model evolved sophisticated, almost human-like problem-solving skills, like reverse-engineering bytecode to complete tasks. Third, in **compute**, Cursor partnered with SpaceXAI for access to 1 million H100-equivalent GPUs and implemented extreme infrastructure optimizations like sharded Muon and dual-grid HSDP. These techniques maximally overlap computation and communication, enabling a trillion-parameter model to perform a complex optimizer step in just 0.2 seconds. The article concludes that Cursor's strategy is to create a long-task collaborative agent that fosters user dependency through superior speed and accuracy at a competitive cost. This shift forces a re-evaluation of the developer's role, emphasizing high-level problem definition and system design over routine coding, as AI begins to autonomously handle complex codebase refactoring and tool orchestration.

marsbit1h ago

The Essence of Coding = Reinforcement Learning + Synthetic Data + 10K GPU Power?

marsbit1h ago

Trading

Spot

Futures