Brokers Await Clarifications

cryptonews.ruPublished on 2026-08-12Last updated on 2026-08-12

Abstract

Brokers in Russia are awaiting clarifications from the Central Bank (CBR) regarding the rules for trading cryptocurrencies on local exchanges. Starting August 11, the CBR will permit the buying and selling of Bitcoin, Ethereum, and USDT under a new framework. Qualified investors will face no limits, while others will have an annual cap of 300,000 rubles. All participants must first pass a test on investment risks. The new law treats cryptocurrency primarily as an investment. Analysts note the timing is unfavorable due to a bearish market trend, expecting initially low demand. The isolation of the Russian crypto exchange from global platforms will depend on remaining access channels; a closed system could lead to price discrepancies, as seen in South Korea. A key transitional phase begins September 1, with the CBR launching a registry for licensed market participants (exchanges, depositaries, banks, brokers). Major changes are set for July 2027, when Russian banks must block client transactions funding crypto wallets on foreign platforms and reject ruble inflows from such sales. While the CBR selected high-capitalization assets, doubts persist about USDT's reliability and its vulnerability to sanctions, as noted by officials and bankers. However, experts argue excluding USDT is impractical, as it processes more transactions than Visa and Mastercard combined and is essential for the crypto market. The law eases restrictions for foreign trade using crypto, but major banks ar...

Brokers are awaiting clarifications from the Central Bank regarding cryptocurrency trading on Russian exchanges. On August 11th, it became known that officially permitted trading of Bitcoin, Ethereum, and $USDT will be allowed. Qualified investors will be able to do this without restrictions, while limits of 300 thousand rubles per year will be set for others. However, to begin with, everyone will have to undergo testing and familiarize themselves with all the risks, as reported by the Bank of Russia.

Under the new law, cryptocurrency is primarily an investment. Participants are left with little to do: buy and wait for the price to rise. Although, as experts interviewed by "Kommersant FM" believe, the timing is not very fortunate: the market is in a bearish trend. So, at least initially, demand on the exchange will be low. Whether it will be as isolated from the external world as Russia's stock market depends on what access to foreign platforms remains, notes Nikita Zuborev, senior analyst at Bestchange.ru:

"The example of South Korean crypto exchanges shows that a problem arises because only South Korean citizens can trade on them. Therefore, the rate there was noticeably higher than the market average, and there was no ability to quickly arbitrage the price difference. At least for now, it is stated that there will be an opportunity to withdraw this cryptocurrency further. How this will be implemented in practice will become clear when brokers and banks launch all the necessary tools."

September 1st is the starting point for the transition period: from this moment, the Central Bank's registry for market participants requiring permits and licenses will launch: exchangers, depositories, banks, brokers, and investors. Key changes will come in mid-2027, says Andrey Tugarin, Managing Partner of GMT Legal law firm:

"The most interesting thing is that from July 1, 2027, Russian banks will have to refuse clients' requests to replenish cryptocurrency wallets on foreign platforms through them. Furthermore, banks will not be able to directly accept rubles from such platforms if a client of a Russian bank sold cryptocurrency there for rubles and withdrew the funds to Russia."

For the nascent Russian crypto exchange, the Central Bank has chosen the highest-capitalization assets. However, Anton Gorelkin, First Deputy Chairman of the State Duma Committee on Information Policy, Information Technologies and Communications, expressed doubts about the reliability of $USDT. The Chairman of PSB, Petr Fradkov, spoke about the same thing. Large investors indeed have something to fear, says Dmitry Alexandrov, Deputy General Director of Renaissance Capital:

"$USDT is a quasi-dollar, relevant both for settlements and as a bet on the American currency. There is a certain vulnerability to new sanctions.

All these things will be trackable, because trading will one way or another lead to centralization, and that, probably, main effect of anonymity, for which cryptocurrencies are valued, will fade."

Nevertheless, abandoning the asset would be unfair, believes Andrey Tugarin, Managing Partner of GMT Legal law firm:

"$USDT is the most sanction-dangerous asset: you could wake up and find all your thousands or millions of $USDT frozen. No court decision is required for this—the issuer's decision is enough. But how can one manage without $USDT at all? In the world of cryptocurrencies, it is irreplaceable: by transaction volume per year, it has already surpassed Visa and Mastercard combined.

Therefore, not including $USDT in the Russian circuit is essentially the same as abandoning the entire crypto market."

At the same time, the Law on Digital Currencies exempts foreign economic trade from most restrictions. It would seem like good news for business. However, as media learned, large banks are already asking for explanations regarding the economic sense of operations to purchase stablecoins. This was confirmed to "Kommersant FM," including by Sovcombank.

Angela Goplevskaya

Trending Cryptos

Related Questions

QWhat is the main topic of the article?

AThe article discusses the new regulations in Russia for trading cryptocurrencies like Bitcoin and USDT on Russian exchanges, including limits for retail investors and the upcoming implementation timeline.

QWhat restrictions are being placed on retail (non-qualified) investors in Russia regarding cryptocurrency purchases?

ANon-qualified retail investors will be subject to an annual purchase limit of 300,000 rubles.

QAccording to the article, what is a key concern raised about the inclusion of USDT (Tether) on Russian crypto exchanges?

AKey concerns about USDT include its vulnerability to potential sanctions and the risk that the issuer could freeze users' assets unilaterally, without a court order.

QWhat significant change is scheduled to happen from July 1, 2027, according to the article?

AFrom July 1, 2027, Russian banks will be required to refuse clients who try to use them to top up cryptocurrency wallets on foreign platforms and will not be able to directly accept rubles transferred from such platforms.

QWhy do experts in the article believe that excluding USDT from the Russian market would be a significant problem?

AExperts argue that USDT is indispensable in the global crypto world because its annual transaction volume has surpassed that of Visa and Mastercard combined. Excluding it would essentially mean abandoning the entire cryptocurrency market.

Related Reads

IPO Imminent, OpenAI Faces Major Personnel Upheaval

OpenAI, preparing for a potential IPO, is experiencing significant leadership turmoil. In mid-August 2026, longtime "GPU geek" Scott Gray quietly left, and within three days, Chief Operating Officer Brad Lightcap (8-year veteran) and Chief Revenue Officer Denise Dresser (8-month tenure) departed. This follows a broader exodus of at least 10 senior executives in 2026, including heads of product, safety, and ethics. Analysts view this as a strategic "surgery" to transform from a research lab into a sales-driven enterprise company before going public. Revenue now tilts toward enterprise clients, surpassing consumer income sooner than expected, with annualized revenue reaching $40 billion. The new CRO, Dali Rajic, is a veteran enterprise sales leader. Concurrently, OpenAI has disbanded independent safety teams like "Preparedness," which assessed catastrophic risks, integrating their functions into core research. Critics warn this removes dedicated "brakes" on AI development. The leadership vacuum raises questions about who is the clear second-in-command after former apps CEO Fidji Simo moved to an advisory role. Co-founder Greg Brockman appears to be consolidating power. As OpenAI races against rival Anthropic ($47B annualized revenue), it faces the dual challenge of commercial execution while managing the departure of foundational technical talent and ensuring responsible AI development remains a priority.

marsbit35m ago

IPO Imminent, OpenAI Faces Major Personnel Upheaval

marsbit35m ago

AI Can 'Have Moods Too'! New Research from USTC: Confusion and Anxiety Make AI Work Better

The article discusses research from the University of Science and Technology of China and Oxford, revealing that allowing AI to recognize and act upon simulated "internal emotions" can significantly improve its performance. The study demonstrates a coherent pairing between specific emotional states in AI agents and their subsequent skill choices. For instance, an agent feeling curious and desirous will search for products, while one feeling confused and tense will rephrase queries. This mirrors human decision-making influenced by emotions. Statistical validation showed a 76.5% semantic consistency in these pairings. Crucially, the research challenges the traditional view of AI errors as flaws to be eliminated. It found that "bad" emotions like confusion, tension, or frustration serve as useful metacognitive signals, indicating a mismatch between the current strategy and the environment. By responding to these signals, AI can proactively adjust before a failure occurs. This is particularly effective in complex tasks prone to failure. For example, in tasks like "heating an item" and "picking up two items," success rates surged from 9.6% to 56.9% and 4.4% to 31.3%, respectively, when using the emotion-driven skill selection method (EMOTION2SKILL). The AI's "nervous" state about a closed microwave, for instance, prompted it to check and open it first, preventing failure. The article also mentions related work from Tianjin University, which embeds emotional prediction into world models (Large Emotional World Model, LEWM), significantly improving prediction accuracy in human-centric environments. Removing emotional data was found to degrade performance even in unrelated logical reasoning tasks. These studies build on earlier findings, like those from Anthropic, that identifiable emotional representations exist within large language models (LLMs). The focus is shifting from philosophical debate about AI emotion to practically harnessing these internal states as functional signals to enhance AI robustness and capability.

marsbit1h ago

AI Can 'Have Moods Too'! New Research from USTC: Confusion and Anxiety Make AI Work Better

marsbit1h 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 personalised 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. Personalisation 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 conceptualisation 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 emphasises these areas, aiming to shift the burden of routine tasks while enhancing security frameworks through predictive analytics. Personalised 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.

385 Total ViewsPublished 2024.04.06Updated 2024.12.03

What is $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