Monero, Zcash, And Dash Prohibited In India Amid Money-Laundering Crackdown

bitcoinistPublicado em 2026-01-24Última atualização em 2026-01-24

Resumo

India's Financial Intelligence Unit (FIU-IND) has prohibited privacy-focused cryptocurrencies Monero (XMR), Zcash (ZEC), and Dash (DASH) in a new anti-money laundering crackdown. The directive orders all registered crypto exchanges in the country to immediately suspend deposits, withdrawals, and trading for these assets, citing their advanced cryptographic features that obscure transaction details and user identities. Regulators argue these privacy tools hinder compliance with KYC and anti-money laundering obligations, posing elevated risks for illicit financing. While the three coins showed short-term price gains following the announcement, they remain significantly down over the past week. This action is part of India's broader regulatory effort, which previously targeted unregistered offshore exchanges.

India’s Financial Intelligence Unit (FIU‐IND) has launched a fresh anti‐money‐laundering crackdown aimed at privacy‐focused cryptocurrencies. The move targets Monero (XMR), Zcash (ZEC), and Dash (DASH), which together represent the largest and most widely used privacy coins globally.

India Tightens Crypto Oversight

Details of the action were shared on Friday by market analyst MartyParty on social media platform X (previously Twitter), who notes that FIU‐IND has issued a directive to crypto exchanges registered in India, instructing them to immediately suspend deposits, withdrawals, and trading activity for Monero, Zcash, and Dash.

At the heart of the regulator’s concerns is the technology underpinning these assets. Privacy coins rely on advanced cryptographic techniques designed to obscure transaction details, wallet balances, and user identities.

Monero uses ring signatures to hide the sender and receiver, Zcash allows shielded transactions that conceal transaction data, and Dash offers optional privacy features.

While these tools are valued by users seeking confidentiality, regulators argue they make it difficult for exchanges to meet know‐your‐customer (KYC) and transaction‐monitoring obligations. The regulator views these features as posing elevated risks related to money laundering, terrorist financing, and sanctions evasion.

The latest directive applies to all cryptocurrency exchanges registed in the country, which currently includes crypto platforms operating in compliance with Indian regulations. They have been instructed to stop supporting the assets, including delisting, blocking all deposits and withdrawals, and disabling any associated trading pairs.

Monero, Zcash, And Dash Show Mixed Market Reaction

The latest action builds on a broader regulatory push by Indian authorities. In October 2025, FIU‐IND ordered internet service providers to block access to 25 offshore crypto exchanges that failed to register.

By contrast, only a handful of exchanges currently remain fully registered and compliant in the country. Binance, Mudrex, Coinbase, CoinSwitch (CoinSwitch Kuber), and ZebPay continue to operate legally in India.

Despite the regulatory pressure, market prices for the targeted privacy coins showed short‐term resilience. Over the past 24 hours, all three assets posted gains after recovering from sharp losses earlier in the week.

Monero was trading at $524 at the time of writing, up 3.5% on the day. Zcash also rebounded modestly, rising 2.2% to trade at $372. Dash recorded the strongest daily performance, jumping 11.6% during the same period.

However, the broader trend remains negative. According to CoinGecko data, Monero, Zcash, and Dash are still down sharply on a weekly basis, with losses of approximately 21%, 8%, and 20% respectively over the past seven days.

The 1D chart shows XMR’s volatility witnessed over the past week, with short-term support at $500. Source: XRMUSDT on TradingView.com

Featured image from DALL-E, chart from TradingView.com

Criptomoedas em alta

Perguntas relacionadas

QWhich specific cryptocurrencies are targeted by India's Financial Intelligence Unit (FIU-IND) in its latest anti-money-laundering crackdown?

AMonero (XMR), Zcash (ZEC), and Dash (DASH).

QWhat is the primary regulatory concern that led to the prohibition of these privacy coins in India?

AThe advanced cryptographic techniques that obscure transaction details, wallet balances, and user identities, making it difficult for exchanges to meet KYC and transaction-monitoring obligations, posing elevated risks for money laundering, terrorist financing, and sanctions evasion.

QWhat actions have Indian crypto exchanges been instructed to take regarding these assets?

AThey have been instructed to immediately suspend deposits, withdrawals, and trading activity, including delisting the coins and disabling any associated trading pairs.

QDespite the ban, what was the short-term market reaction for Monero, Zcash, and Dash?

AAll three assets posted gains over the 24 hours following the news, with Monero up 3.5%, Zcash up 2.2%, and Dash recording the strongest performance with an 11.6% jump.

QWhich major crypto exchanges are named as being fully registered and compliant to operate legally in India?

ABinance, Mudrex, Coinbase, CoinSwitch (CoinSwitch Kuber), and ZebPay.

Leituras Relacionadas

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbitHá 2m

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbitHá 2m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbitHá 7m

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbitHá 7m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbitHá 7m

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbitHá 7m

Trading

Spot

Artigos em Destaque

Como comprar DASH

Bem-vindo à HTX.com!Tornámos a compra de DASH (DASH) simples e conveniente.Segue o nosso guia passo a passo para iniciar a tua jornada no mundo das criptos.Passo 1: cria a tua conta HTXUtiliza o teu e-mail ou número de telefone para te inscreveres numa conta gratuita na HTX.Desfruta de um processo de inscrição sem complicações e desbloqueia todas as funcionalidades.Obter a minha contaPasso 2: vai para Comprar Cripto e escolhe o teu método de pagamentoCartão de crédito/débito: usa o teu visa ou mastercard para comprar DASH (DASH) instantaneamente.Saldo: usa os fundos da tua conta HTX para transacionar sem problemas.Terceiros: adicionamos métodos de pagamento populares, como Google Pay e Apple Pay, para aumentar a conveniência.P2P: transaciona diretamente com outros utilizadores na HTX.Mercado de balcão (OTC): oferecemos serviços personalizados e taxas de câmbio competitivas para os traders.Passo 3: armazena teu DASH (DASH)Depois de comprar o teu DASH (DASH), armazena-o na tua conta HTX.Alternativamente, podes enviá-lo para outro lugar através de transferência blockchain ou usá-lo para transacionar outras criptomoedas.Passo 4: transaciona DASH (DASH)Transaciona facilmente DASH (DASH) no mercado à vista da HTX.Acede simplesmente à tua conta, seleciona o teu par de trading, executa as tuas transações e monitoriza em tempo real.Oferecemos uma experiência de fácil utilização tanto para principiantes como para traders experientes.

302 Visualizações TotaisPublicado em {updateTime}Atualizado em 2026.06.02

Como comprar DASH

Discussões

Bem-vindo à Comunidade HTX. Aqui, pode manter-se informado sobre os mais recentes desenvolvimentos da plataforma e obter acesso a análises profissionais de mercado. As opiniões dos utilizadores sobre o preço de DASH (DASH) são apresentadas abaixo.

活动图片