Zcash Price Slides 40% as Market Sell-Off and Regulatory Pressure Mount

TheNewsCryptoPubblicato 2026-02-05Pubblicato ultima volta 2026-02-05

Introduzione

Zcash (ZEC) price has declined for 8 consecutive days, dropping approximately 40% and currently at $245. This represents a 53% decrease over the past month and a 65% drop from its November high of $699. The decline is attributed to three main factors: a broader crypto market sell-off that liquidated over $1.6 billion, the resignation of the Electric Coin Company's main development team raising concerns about the project's future, and increased global regulatory scrutiny on privacy coins. Recently, Dubai's financial regulator banned Zcash from all licensed exchanges and financial institutions within the Dubai International Financial Centre. Technical analysis indicates ZEC is nearing a critical support breakdown, which could signal further bearish control.

The price of Zcash slipped for the 8th consecutive day, going down around 40% in the period. At the time of writing, Zcash was trading at $245, and the price of the token is 53% lower than in the last month and around 65% lower than its November high, which hit $699.

Mainly, there are three significant reasons why the price of Zcash fell this week. Initially, Zcash stumbled upon a broader crypto risk-off phase where BTC, the bellwether asset, dropped towards the $70,000 psychological support, setting more than $1.6 billion in liquidations over the market.

ZEC didn’t perform well at this sell-off in tandem, having the major portion of the top privacy coins, like Monero, Dash and Horizen, which went through double-digit losses in one week as the hype surrounding privacy solutions dissolved.

After this, the confidence of investors in Zcash becomes fragile after the mass resignation of the Electric Coin Company’s main development team at the start of January. As the development team has confirmed its commitment to back Zcash.

This quick change has made a projection of unpredictability concerning the future roadmap of the protocol. The last reason is attributed to prolonged global scrutiny of privacy coins, comprising proposed bans in some jurisdictions such as Russia and escalated AML checks in India, which carries on to weigh on investor sentiment for assets such as ZEC and Monero.

The Clampdown

The recent clampdown comes from the financial regulator of Dubai, which lately put a ban on the use of Zcash on all licensed crypto exchanges and financial institutions working within the Dubai International Financial Centre.

The daily chart shows that the price of Zcash is near to a breakdown from a descending line that has been acting as a prominent support level where bulls have mostly entered to defend the price.

A fall below this level would indicate that sellers have captured control of the market and, at the same time, bulls are giving the signs of exhaustion.

Highlighted Crypto News Today:

Coinbase Premium Gap Hits Yearly Low, Signals Institutional Selling

Domande pertinenti

QWhat are the three main reasons for the recent price decline of Zcash?

AThe three main reasons are: 1) A broader crypto market sell-off, led by Bitcoin's drop, which caused over $1.6 billion in liquidations. 2) Fragile investor confidence following the mass resignation of the Electric Coin Company's main development team. 3) Prolonged global regulatory scrutiny and proposed bans on privacy coins in jurisdictions like Russia and India.

QWhat was the price of Zcash at the time of writing and how does it compare to its November high?

AAt the time of writing, Zcash was trading at $245. This price is approximately 65% lower than its November high of $699.

QWhich financial regulator recently banned the use of Zcash, and where was this ban implemented?

AThe financial regulator of Dubai recently banned the use of Zcash. The ban applies to all licensed crypto exchanges and financial institutions operating within the Dubai International Financial Centre.

QHow did other major privacy coins, like Monero and Dash, perform during the market sell-off?

AOther major privacy coins, including Monero, Dash, and Horizen, also performed poorly, experiencing double-digit losses in one week as the hype around privacy solutions dissolved.

QWhat does a breakdown from the descending support line on the Zcash chart indicate?

AA breakdown from the descending support line would indicate that sellers have taken control of the market and that the bulls, who were previously defending that price level, are showing signs of exhaustion.

Letture associate

CLARITY Act: Banking Trade Groups Push For Yield Agreement Revision – Details

US banking trade groups are urging revisions to the stablecoin yield compromise in the upcoming CLARITY Act ahead of a key committee markup. The Act currently aims to ban all passive, deposit-like interest on stablecoins to prevent competition with traditional bank savings, while allowing rewards tied to active uses like staking or transactions. In a letter, groups including the American Banking Association and Bank Policy Institute proposed stricter language to eliminate perceived loopholes for passive yield and prevent deposit flight from banks. However, these efforts are reportedly viewed as minor by some lawmakers. The Senate Banking Committee is scheduled to mark up the bill on May 14, a critical step before it can advance through Congress.

bitcoinist7 h fa

CLARITY Act: Banking Trade Groups Push For Yield Agreement Revision – Details

bitcoinist7 h fa

This Finance CEO Picks Solana Instead Of Bitcoin — Here’s Why

Finance CEO Raoul Pal prefers Solana over Bitcoin, citing its high throughput and low transaction costs as better suited for the future crypto-AI era. He believes Solana is ideal for machine-to-machine microtransactions and AI-driven DeFi activity, predicting AI agents will soon dominate DeFi users. While Bitcoin serves as a store of value, Pal sees higher growth in networks built for mass, automated transactions. This view was highlighted at Consensus 2026, where AI integration and crypto infrastructure were key themes.

bitcoinist7 h fa

This Finance CEO Picks Solana Instead Of Bitcoin — Here’s Why

bitcoinist7 h fa

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit8 h fa

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit8 h fa

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit9 h fa

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit9 h fa

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit10 h fa

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit10 h fa

Trading

Spot

Futures