La Banque de Russie limite la part des cryptomonnaies dans le portefeuille des courtiers de marché à 25 %

cryptonews.ruPublished on 2026-08-18Last updated on 2026-08-18

Abstract

La Banque centrale de Russie (Banque de Russie) a publié un nouveau projet de règlement qui limite la part des crypto-actifs dans les portefeuilles des intermédiaires de marché professionnels. Selon cette réglementation, les courtiers, gestionnaires fiduciaires, négociants sur le marché des changes et plateformes d'échange de crypto-monnaies devront inclure ces actifs dans le calcul de leurs fonds propres. Leur valeur ne pourra pas dépasser 25% de la valeur totale des fonds propres déclarés de l'entreprise. Pour être comptabilisés, les crypto-actifs doivent être négociés sur des bourses et enregistrés dans des dépôts cryptographiques agréés, permettant ainsi à l'État d'en vérifier l'existence. L'objectif de ces règles est de mieux prendre en compte les risques de crédit et de marché liés aux cryptomonnaies et de garantir la capacité financière des entreprises à couvrir d'éventuelles pertes. La Banque de Russie estime que cette approche renforcera la stabilité financière des intermédiaires opérant avec ces actifs. Cette initiative s'inscrit dans un processus plus large de légalisation encadrée des cryptomonnaies en Russie. Elle fait suite à l'adoption par la Douma d'une réglementation globale autorisant les investisseurs, qualifiés et non qualifiés, à négocier des cryptomonnaies, avec toutefois une limite annuelle d'environ 3 800 dollars pour ces derniers. L'utilisation des cryptomonnaies pour les paiements domestiques reste interdite, tandis que leur emploi pour les règleme...

La Banque de Russie a publié un nouveau projet de règlement définissant les exigences que les participants professionnels du marché doivent suivre pour inclure des actifs cryptographiques dans leurs bilans.

Selon le nouveau règlement, les participants professionnels du marché, tels que les courtiers, les gestionnaires de patrimoine, les dealers sur le marché des changes et les plateformes d'échange de cryptomonnaies, devront prendre en compte les actifs cryptographiques dans le calcul de leurs fonds propres. Ces crypto-actifs, qui peuvent être inclus au bilan s'ils sont admis à la négociation sur les bourses, peuvent atteindre une limite prudentielle de 25 % de la valeur totale déclarée des fonds propres.

En outre, pour être inclus dans ces calculs, les actifs cryptographiques doivent être enregistrés dans des dépositaires de cryptomonnaies, ce qui permettra à l'État de confirmer leur existence.

Concernant l'objectif de cet ensemble de règles, la banque a expliqué que ce ratio sera pris en compte dans l'évaluation des risques de crédit et de marché et garantira la capacité de ces entreprises à couvrir les pertes potentielles.

« Grâce à cette nouvelle approche, ces ratios prendront en compte les risques liés aux cryptomonnaies et aideront à assurer la résilience financière des intermédiaires lors de la conduite d'opérations avec des cryptomonnaies », a conclu la banque.

Cette mesure est considérée comme une continuation du processus de légalisation des cryptomonnaies en Russie, offrant aux utilisateurs la possibilité d'évaluer la fiabilité des participants réglementés du marché sur la base de leurs actifs cryptographiques, mais marque également le début d'une ère de surveillance étatique plus approfondie, renforçant le contrôle sur les opérations cryptographiques internes des opérateurs et maintenant une participation limitée des actifs cryptographiques dans l'économie russe.

Ce projet de règlement fait suite à l'approbation par la Douma d'État d'une réglementation globale des cryptomonnaies, autorisant à la fois les investisseurs qualifiés et non qualifiés à négocier des cryptomonnaies dans le pays, mais limitant ces derniers à des achats d'une valeur maximale de 300 000 roubles (environ 3 800 dollars) par an.

Néanmoins, l'utilisation des cryptomonnaies comme moyen de règlement interne est interdite, tandis que les exportateurs et importateurs peuvent toujours les utiliser sans restriction dans les règlements transfrontaliers, ce qui leur permet d'utiliser légalement des stablecoins et d'autres actifs numériques pour contourner les risques de sanctions secondaires.

end-content

Trending Cryptos

Related Questions

QQuelle est la nouvelle limitation imposée par la Banque de Russie sur les actifs cryptographiques dans les portefeuilles des participants au marché ?

ALa Banque de Russie a limité la part des actifs cryptographiques à 25% de la valeur totale des capitaux propres déclarés pour les participants professionnels au marché tels que les courtiers, les gestionnaires de fortune, les concessionnaires du marché Forex et les plateformes d'échange de cryptomonnaies.

QQuelles sont les conditions pour qu'un actif cryptographique soit inclus dans les calculs des fonds propres des participants au marché ?

APour être inclus dans les calculs, les actifs cryptographiques doivent être admis à la négociation sur des plateformes d'échange et être enregistrés dans des dépositaires de cryptomonnaies, permettant ainsi à l'État de confirmer leur existence.

QQuel est l'objectif principal du nouveau règlement de la Banque de Russie concernant les cryptomonnaies ?

AL'objectif principal est d'évaluer les risques de crédit et de marché liés aux cryptomonnaies, et de garantir la capacité des entreprises à couvrir les pertes potentielles, assurant ainsi leur stabilité financière.

QComment les utilisateurs peuvent-ils désormais évaluer la fiabilité des participants réglementés sur le marché russe des cryptomonnaies ?

ALes utilisateurs peuvent désormais évaluer la fiabilité des participants réglementés en se basant sur la part de leurs actifs cryptographiques, dans le cadre d'une légalisation plus poussée, mais également d'une surveillance étatique accrue.

QQuelle est la réglementation concernant l'utilisation des cryptomonnaies pour les paiements transfrontaliers en Russie ?

AL'utilisation des cryptomonnaies pour les règlements intérieurs est interdite, mais les exportateurs et importateurs peuvent les utiliser sans restriction pour les paiements transfrontaliers, notamment pour contourner les risques de sanctions secondaires via des stablecoins ou d'autres actifs numériques.

Related Reads

Token Economy Surges, Have Ordinary People Got a Slice of the Pie?

Token Frenzy: Is the Average Person Getting a Piece of the Pie? As AI adoption soars in China, daily Token consumption—the basic unit for AI text processing—has skyrocketed, exceeding 140 trillion. This "Token economy" is often measured like GDP, touted as a sign of progress. However, this metric primarily reflects supply-side activities: corporate investment, infrastructure scaling, and platform revenues. The crucial question of whether this growth translates into tangible benefits for ordinary citizens—higher wages, better jobs, improved public services, or increased leisure—remains largely unanswered. The article argues there's a fundamental mismatch. Policy, exemplified by subsidies in Beijing's Yizhuang district, often stimulates "demand" by incentivizing companies to consume more Tokens (an intermediate business cost), rather than by boosting household income or final consumer spending. This creates a closed loop where growth in Token usage justifies further production capacity expansion, without necessarily extending value to the broader population. Several disconnects are highlighted. High Token usage doesn't equal completed tasks, increased profits, or macroeconomic productivity gains. Even when corporate efficiency improves, the benefits may not trickle down due to existing economic structures favoring investment over household consumption. The risk is that AI, a genuinely productive technology, becomes another tool for supply-side expansion within a system adept at measuring output (like server capacity and call volumes) but less focused on distributing the gains widely. Drawing a parallel to Henry Ford's assembly line, the piece notes that Ford's revolution combined ruthless production efficiency with a social compact (higher wages, stability) that enabled mass consumption. Today's "Token economy" narrative enthusiastically champions the first part—process re-engineering and cost reduction—but lacks a credible mechanism for the second: ensuring that productivity gains lead to broader societal welfare. The ultimate challenge is not whether Tokens have value, but whether their economic benefits can escape a system that excels at building supply but struggles to cultivate its own demand.

marsbit5m ago

Token Economy Surges, Have Ordinary People Got a Slice of the Pie?

marsbit5m ago

Overnight Global Shock: Why Did AI Stocks Plunge Across the Board?

Overnight, U.S. AI-related stocks fell sharply, with the Nasdaq down 1.33% and the Philadelphia Semiconductor Index plunging nearly 5%. Panic spread globally, dragging down Asia-Pacific markets. Key negative drivers included: 1. **Geopolitical Tension & Macro Pressure:** Escalating U.S.-Iran tensions pushed oil prices higher, fueling inflation fears and expectations of prolonged high interest rates. Rising bond yields pressured high-valuation, capital-intensive AI stocks, especially as soaring AI infrastructure financing costs became evident. 2. **AI Commercialization Concerns:** OpenAI's Q2 results showed slowing revenue growth and widening losses, dampening market optimism about near-term AI application profitability. This shifted investor focus from pure capital expenditure narratives to actual commercial returns. 3. **Supply Chain Uncertainty:** U.S.-South Korea semiconductor investment disputes intensified. Market fears that Korean memory giants (Samsung, SK Hynix) face a dilemma—either divert capital to costly U.S. production or risk trade barriers—disrupted the critical HBM memory sector, amplifying sell-offs via leveraged ETFs. While long-term AI demand remains, the market is now scrutinizing real profitability, financing costs, and supply chain stability rather than paying premiums for unchecked growth stories. For markets like China's A-shares, the impact is primarily sentiment-driven, requiring distinction between short-term panic and fundamental deterioration.

marsbit6m ago

Overnight Global Shock: Why Did AI Stocks Plunge Across the Board?

marsbit6m ago

Q2 Wall Street Institutional Crypto Holdings: Most Institutions Increased Positions Against the Trend, ETH Exposure Outperformed BTC Across the Board

In Q2 2024, despite a roughly 14.2% decline in Bitcoin's price, many Wall Street institutions increased their crypto holdings, revealing a divergence from ETF flow trends. Overall institutional Bitcoin exposure grew by 7.5% to ~536k BTC, while aggregate spot Bitcoin ETF holdings declined. Notably, exposure concentration increased, with fewer reporting institutions holding larger positions. A key trend was the significant outperformance of Ethereum (ETH) exposure growth over Bitcoin (BTC) among major banks. For instance, JPMorgan's ETH exposure surged 67.3% versus 12.2% for BTC, and Morgan Stanley's ETH exposure grew 18.6% versus 3.7%. Individual bank holdings of Ethereum ETFs like ETHA saw dramatic increases, even as the overall Ethereum ETF market experienced net outflows during the quarter. Trading firms like Jane Street significantly rebuilt its iShares Bitcoin Trust (IBIT) position, while several hedge funds, including Brevan Howard and Graham Capital, reduced spot ETF holdings but added substantial option positions (both calls and puts), indicating more complex strategies. Institutions showed diverging views on crypto-related equities: some sold shares of MicroStrategy (MSTR) after its announced Bitcoin sales, while others like Renaissance Technologies and BlackRock were buyers. New entrants like Spain's Santander Bank disclosed initial crypto ETF positions. Meanwhile, long-term holders like Abu Dhabi's sovereign wealth funds paused their accumulation, and Harvard's endowment maintained a flat Bitcoin position. Key signals include the deepening institutionalization of crypto assets, a clear institutional preference for accumulating Ethereum, and growing divergence in views on crypto equities. This institutional buying in Q2 preceded a price recovery and renewed inflows into Ethereum ETFs in July and August.

marsbit25m ago

Q2 Wall Street Institutional Crypto Holdings: Most Institutions Increased Positions Against the Trend, ETH Exposure Outperformed BTC Across the Board

marsbit25m ago

TSMC, Another Winning Bet

TSMC Gains Another Strategic Advantage as Samsung Delays 1.4nm Process Samsung Foundry has adjusted its advanced process roadmap, postponing the mass production timeline for its 1.4nm process from 2027 to 2029. This two-year delay signals a strategic shift from aggressively pursuing the next node to focusing on maturing and scaling its 2nm platform. Samsung plans to extend the commercial lifespan of its 2nm technology through derivative versions optimized for different applications, including those incorporating backside power delivery for AI and HPC chips. A notable aspect of this shift is Samsung's cautious approach toward High-NA EUV lithography. The company views it as essential for 1nm-class nodes and beyond but not as an immediate necessity for 1.4nm, opting instead to refine its existing Low-NA EUV-based processes. This highlights a broader industry trend where the competition is evolving beyond simply reaching the next node. Success now depends on achieving high yield, managing soaring costs, integrating new transistor architectures like GAA, and delivering a compelling overall package of performance, power efficiency, and area (PPA) at a viable cost. While Samsung consolidates its 2nm efforts, TSMC continues its advance. Its N2 node is in production, and the A16 node (post-2nm, ~1.6nm) is scheduled for mass production in the second half of 2026. A16 introduces TSMC's Super Power Rail backside power delivery technology, which is expected to deliver significant performance and power efficiency gains. TSMC's previously stated cautious stance on High-NA EUV appears validated by Samsung's roadmap adjustment. The delay underscores that the competition in leading-edge semiconductor manufacturing is entering a new phase. It is no longer just a race to smaller node numbers but a multifaceted contest involving process maturity, yield, cost, design-technology co-optimization (DTCO), and advanced packaging. Samsung aims to solidify its 2nm platform over the next three years. However, as it targets 1.4nm for 2029, the industry will be watching how far ahead TSMC and Intel have moved by then.

marsbit30m ago

TSMC, Another Winning Bet

marsbit30m ago

Trading

Spot

Hot Articles

What is $BANK

Bank AI: A Revolutionary Step in the Future of Banking Introduction In an era marked by rapid advancements in technology, Bank AI stands at the intersection of artificial intelligence (AI) and banking services. This innovative project seeks to redefine the financial landscape, enhancing operational efficiency, security measures, and customer experiences through the power of AI. As we embark on this exploration of Bank AI, we will delve into what the project entails, its operational dynamics, its historical context, and significant milestones. What is Bank AI? At its core, Bank AI represents a transformative initiative aimed at integrating artificial intelligence into various banking operations. This project harnesses the capabilities of AI to automate processes, improve risk management protocols, and enhance customer interaction through personalized services. The primary objectives of Bank AI include: Automation of Banking Functions: By leveraging AI technologies, Bank AI aims to automate routine tasks, reducing the burden on human resources and enhancing efficiency. Enhanced Risk Management: The project utilises AI algorithms to predict and identify risks, thereby fortifying security measures against fraud and other threats. Personalization of Banking Services: Bank AI focuses on offering tailored financial products and services by analysing customer data and behaviours. Improving Customer Experience: The implementation of AI-driven solutions, such as chatbots and virtual assistants, aims to provide users with more human-like interactions, revolutionising the way customers engage with banks. With these goals, Bank AI positions itself as a crucial player in rendering banking more efficient, secure, and user-centric. Who is the Creator of Bank AI? Details regarding the creator of Bank AI remain unknown. As such, no specific individual or organisation has been identified in the available information. The anonymity surrounding the project's inception raises questions but does not detract from its ambitious vision and objectives. Who are the Investors of Bank AI? Similar to the project's creator, specific information regarding the investors or supporting organisations of Bank AI has not been disclosed. Without this information, it is challenging to outline the financial backing and institutional support that might be propelling the project forward. Nevertheless, the importance of having a robust investment foundation is pivotal for sustaining development in such an innovative field. How Does Bank AI Work? Bank AI operates on several innovative fronts, focusing on unique factors that differentiate it from traditional banking frameworks. Below are key operational features: Automation: By applying machine learning algorithms, Bank AI automates various manual processes within banks. This results in reduced operational costs and allows human workers to redirect their efforts towards more strategic activities. Advanced Risk Management: The integration of AI into risk management practices equips banks with tools to accurately predict potential threats such as fraud, ensuring that customer information and assets remain secure. Tailored Financial Recommendations: Through continuous learning from customer interactions, the AI systems develop a nuanced understanding of user needs, enabling them to offer tailored advice on financial decisions. Enhanced Customer Interactions: Utilizing chatbots and virtual assistants powered by AI, Bank AI enables a more engaging customer experience, allowing users to have their queries resolved quickly, thus reducing wait times and improving satisfaction levels. Together, these operational features position Bank AI as a pioneer in the banking sector, establishing new benchmarks for service delivery and operational excellence. Timeline of Bank AI Understanding the trajectory of Bank AI requires a look at its historical context. Below is a timeline highlighting important milestones and developments: Early 2010s: The conceptualization of AI integration into banking services began to gain attention as banking institutions recognised the potential benefits. 2018: A marked increase in the implementation of AI technologies occurred when banks started using AI tools like chatbots for basic customer service and risk management systems for improved security handling. 2023: The sophistication of AI continued to advance, with generative AI being introduced for more complex tasks such as document processing and real-time investment analysis. This year marked a significant leap in the capabilities afforded to banks by AI technology. 2024-Current Status: As of this year, Bank AI is on an upward trajectory, with ongoing research and developments poised to further enhance capabilities in banking operations. Continued exploration of AI applications hints at exciting developments yet to come. Key Points About Bank AI Integration of AI in Banking: Bank AI focuses on adopting artificial intelligence to streamline banking processes and improve user experiences. Automation and Risk Management Focus: The project strongly emphasizes these areas, aiming to shift the burden of routine tasks while enhancing security frameworks through predictive analytics. Personalized Banking Solutions: By harnessing customer data, Bank AI enables tailored banking services that cater to individual user needs. Commitment to Development: Bank AI remains committed to ongoing research and development efforts, ensuring its adaptability and ongoing relevance as technology continues to evolve. Conclusion In summary, Bank AI exemplifies a crucial step forward in the banking industry, leveraging artificial intelligence to reshape operational paradigms, enhance security, and promote customer satisfaction. Despite gaps in information surrounding the creator and investors, the clear objectives and functional mechanisms of Bank AI provide a strong foundation for its ongoing evolution. As AI technology continues to advance and merge with the banking sector, Bank AI is well-positioned to significantly impact the future of financial services, enhancing the way we understand and interact with banking.

1.8k Total ViewsPublished 2024.04.05Updated 2024.12.03

What is $BANK

How to Buy BANK

Welcome to HTX.com! We've made purchasing Lorenzo Protocol (BANK) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Lorenzo Protocol (BANK) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Lorenzo Protocol (BANK)After purchasing your Lorenzo Protocol (BANK), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Lorenzo Protocol (BANK)Easily trade Lorenzo Protocol (BANK) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

6.6k Total ViewsPublished 2025.05.09Updated 2026.06.02

How to Buy BANK

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 BANK (BANK) are presented below.

活动图片