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On-chain Analyst: Why Are Most Zcash Transactions Still Traceable?

Title: Why Most Zcash Transactions Remain Traceable Zcash, a privacy-focused cryptocurrency launched in 2016, was designed to offer anonymity by hiding transaction details like sender, receiver, and amount using zero-knowledge proof technology (zk-SNARKs). However, in practice, a significant portion of ZEC transactions are still traceable on-chain. The key reason is Zcash's dual-address system. It features transparent addresses (t-addresses), which work like standard Bitcoin addresses with all data public, and shielded addresses (z-addresses) that encrypt transaction details. There are four transaction types with varying privacy levels: fully transparent (t→t), partially shielded (t→z and z→t), and fully private (z→z). Despite its privacy capabilities, most real-world Zcash activity involves transparent addresses, primarily because major exchanges and institutions use them for regulatory compliance. As a result, blockchain analytics platforms like Arkham can track and attribute a substantial volume of Zcash transactions. Arkham reports it has identified entities behind over $420 billion in ZEC transaction volume. Case studies highlight this traceability: the U.S. government holds seized Zcash from a dark web case, visible via its transparent wallet, and individual traders' profitable moves are trackable from purchase to exchange deposit. In conclusion, Zcash's privacy is not inherent but user-dependent. While purely shielded (z→z) transactions remain cryptographically private, the prevalence of transparent address usage makes much of the network's activity traceable. The actual privacy protection offered depends entirely on how users choose to transact.

marsbit05/26 06:04

On-chain Analyst: Why Are Most Zcash Transactions Still Traceable?

marsbit05/26 06:04

CoinQuant Introduces Trading Infrastructure for the Agent Economy

CoinQuant, an AI-powered no-code trading platform with over 15,000 users, is expanding its infrastructure to serve the emerging "agent economy." The company is introducing a unified trading intelligence architecture designed for both human traders and autonomous AI agents. This system acts as a trust layer, ensuring all trading strategies—whether human-created or AI-generated—undergo rigorous validation, backtesting, and risk analysis before live deployment. The core of the platform is an intelligence engine that combines institutional-grade backtesting, structured market data, AI optimization, and a proprietary Domain Expert system. Human traders interact via a natural language interface, while AI agents connect through APIs. Every validated strategy contributes to an anonymized aggregate intelligence layer. CoinQuant plans to launch an automated execution layer on HyperLiquid and is currently raising a $3 million Seed round to scale its product and infrastructure, including the development of HYDRA, a hierarchical multi-agent architecture. The company aims to become the foundational intelligence backbone for algorithmic trading in the agent-driven financial era.

TheNewsCrypto05/26 05:57

CoinQuant Introduces Trading Infrastructure for the Agent Economy

TheNewsCrypto05/26 05:57

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

From Power Grid to Token Economy: The AI Industry's "Seven-Layer Cake" The AI industry is shifting from a "model-centric" paradigm focused on massive training to a "token-centric" industrial era driven by inference demand. This new phase revolves around the production, distribution, scheduling, and consumption of tokens—the units of computation used by AI agents for every interaction and task. The article proposes a "seven-layer cake" framework for the AI economy: 1. **Power**: The foundational energy source, with competition shifting to securing stable, low-cost electricity. 2. **AIDC (AI Data Centers)**: Large-scale "Token factories." A trend toward smaller, modular, and regionally deployed AI Factories is emerging for efficiency and proximity to users. 3. **GPU**: The core production hardware for tokens. While NVIDIA dominates, competition exists from AMD, ASIC makers, and Chinese chipmakers, with a growing focus on inference efficiency. 4. **LLMs**: The "engines" that generate tokens. The competition is evolving beyond model size to prioritize factors like token cost, inference efficiency, and operational synergy with infrastructure. 5. **Token Distribution**: The "grid" that allocates and rents out compute resources, led by cloud giants and specialized AI-native platforms. 6. **Token Optimization & Intelligent Scheduling**: The critical "brain" layer that intelligently routes tasks (e.g., to local, cloud, or edge models) for optimal cost, latency, and privacy—maximizing the value of each token. 7. **AI Agents & Models**: The end consumers of tokens. The vision involves billions of AI agents working and interacting concurrently, consuming vast amounts of tokens. Currently, the industry faces fragmentation and inefficiencies between these layers. The true "mass adoption era" of AI will begin only when this seven-layer infrastructure is fully integrated and operates as a cohesive, intelligent network—transforming AI from a software tool into a global industrial system spanning energy, hardware, and compute logistics.

marsbit05/26 05:43

From Power Infrastructure to Token Economy: The 'Seven-Layer Cake' of the AI Industry Chain

marsbit05/26 05:43

Semiconductors up 78% annually, software down 12% annually: The 'Liquidity Siphon' is playing out within tech stocks

Semiconductor ETFs like SOXX have surged 78.5% year-to-date, while software ETFs like IGV have dropped 12.5%, creating a record performance gap exceeding 90 percentage points. This reflects a major "liquidity suction" within tech stocks, with capital flooding into semiconductors as software faces selling pressure. Driving the semiconductor boom are staggering capital expenditure plans from hyperscalers like Microsoft, Alphabet, Amazon, and Meta, whose combined 2026 capex is projected near $700 billion. This fuels demand for chips, with companies like SanDisk (up 426%), Intel (up 222%), and Micron (up 154%) leading the S&P 500. In contrast, major software firms like Microsoft, Adobe, and Salesforce are all down over 17% year-to-date. The software sector faces a dual challenge: capital is being redirected to semiconductors, and the rise of AI agents like Claude Code threatens traditional SaaS business models, triggering a narrative of AI displacement. Key unanswered questions remain: How long can hyperscalers sustain their massive capex, given potential free cash flow pressures? And will capital eventually rotate back into the deeply oversold software sector? While some analysts warn of a potential semiconductor bubble akin to the dot-com era, the sector's powerful momentum continues, making market timing exceptionally difficult.

marsbit05/26 05:43

Semiconductors up 78% annually, software down 12% annually: The 'Liquidity Siphon' is playing out within tech stocks

marsbit05/26 05:43

What Are The 1% Cardano Investors Doing? Crypto Pundit Breaks It Down

Despite market volatility and Cardano's price dropping below $0.25, analysis reveals significant activity from the top 1% of ADA investors. Crypto pundit Cheeky Crypto notes that while retail investors capitulate, wealthy whales are aggressively accumulating ADA, likely anticipating overlooked institutional infrastructure developments. This coincides with strong network growth: Total Value Locked (TVL) has risen roughly 42% since mid-September 2025, and weekly DEX volume is up nearly 40%. Furthermore, the Cardano network recently achieved a new milestone, surpassing 121 million lifetime transactions, indicating sustained investor confidence and increasing network activity.

bitcoinist05/26 05:31

What Are The 1% Cardano Investors Doing? Crypto Pundit Breaks It Down

bitcoinist05/26 05:31

BTC Thrice Rejected at $80,000 Threshold, HYPE Reaches New Highs Signaling Opportunity | Guest Analysis

**Bitcoin (BTC) Struggles at $80k; HYPE Reaches New Highs | Key Analysis & Strategy** Bitcoin faces continued resistance in the $78.5k - $79.5k zone after failing to sustain a break above its daily chart rising channel. It has retreated to the channel's midline. A failure to hold here could see a test of the $73.5k - $75k support area. The 4-hour chart shows a complex corrective structure. The strategy is neutral for mid-term positions. For short-term trading, two scenarios are outlined: **A)** Selling on a failed rally into the $78.5k-$79.5k resistance, and **B)** Selling on a confirmed breakdown below the $73.5k-$75k support, both with tight risk management. Meanwhile, **HYPE** has posted consecutive highs. The 4-hour chart indicates its current uptrend may be weakening near $65, with models showing potential bearish divergence. The view is that a short-term top could be forming. The strategy advises against chasing the rally and instead looking for a potential long entry on a pullback to the $47.5 - $50 support zone, provided clear reversal signals appear. Last week, a disciplined short BTC trade based on model signals yielded a 2.78% profit. The article emphasizes that all analysis is for informational purposes only and not investment advice, highlighting the importance of strict stop-loss discipline and dynamic position management in a volatile market. *(Note: The text references proprietary models like the "Price Difference Trading Model" and "Momentum Quantification Model" for generating trade signals.)*

marsbit05/26 04:49

BTC Thrice Rejected at $80,000 Threshold, HYPE Reaches New Highs Signaling Opportunity | Guest Analysis

marsbit05/26 04:49

Tether's New Business: Helping Small Countries Issue Stablecoins

Tether has announced a partnership with the Georgian government to issue GEL₮, a Lari-pegged stablecoin, aiming to reduce costs, accelerate settlements, and promote cross-border payments. This move is part of Tether's broader strategy to establish a replicable, standardized business of issuing sovereign currency-backed stablecoins for smaller nations, alongside its flagship USDT and other regional offerings like MXNT (Mexican Peso) and CNHT (Offshore Yuan). Georgia represents an ideal test case due to its high reliance on remittances (~15% of GDP), established digital asset regulatory framework aligned with U.S. standards, and prior engagement with Tether. The country gains accelerated internationalization of its currency by accessing Tether's global distribution network and liquidity pools, where GEL₮ can be swapped directly with assets like USDT. For Tether, the immediate financial gain from Georgia's small market is minimal. The true value lies in creating a template. Successfully navigating the compliance, reserve, and redemption processes for GEL₮ allows Tether to replicate this model swiftly for other nations with similar profiles, such as Azerbaijan or Nigeria. The deeper strategy involves subtly integrating these national currencies into an informal USDT-anchored dollar system, positioning Tether as the essential routing infrastructure. This partnership highlights a potential new model: the outsourcing of sovereign currency globalization to private stablecoin issuers. It offers smaller states a faster path to digital currency integration than developing a Central Bank Digital Currency (CBDC). However, it raises significant questions about monetary sovereignty, financial stability risks, and increased dependency on a private entity. If more countries adopt this model in the coming year, Tether could evolve from a stablecoin issuer into a unique, cross-sovereign financial infrastructure service provider.

marsbit05/26 04:44

Tether's New Business: Helping Small Countries Issue Stablecoins

marsbit05/26 04:44

Notion CEO: AI companies should be a 'Jazz Band,' and I am a 'Refounder'

Notion CEO Ivan Zhao, in a recent podcast, shared his journey of twice rebuilding the company from near-collapse and now applying the same "Refounder" mindset to reshape the 1000-person organization in the AI era. He argues that AI has commoditized technical capability (Capability). True talent now hinges on Taste (judgment/values) and Agency (proactive drive), necessitating a shift in hiring—e.g., hiring more juniors for curiosity and having sales candidates demonstrate work upfront. Zhao envisions the company as a "Jazz Band"—agile and improvisational—versus a rigid "Marching Band." This is reflected in an engineering "dumbbell" structure (super juniors + top-tier seniors, with middle layers compressed), dissolving the CMO role to let teams operate directly, and integrating entrepreneurs via acquisitions to lead their expertise areas. Notion has abandoned traditional long-term product roadmaps, planning only conservatively for finances while adopting a week-by-week, improvisational approach to product strategy, as longer plans proved futile during rapid AI shifts. He concludes that while human nature and roles remain constants, companies must rewrite their approaches to hiring (valuing Taste/Agency over Capability), organizational design (reducing roles focused on coordination/execution), and planning (embracing flexibility). Modern knowledge work, being only ~150 years old, is ripe for reinvention.

marsbit05/26 04:43

Notion CEO: AI companies should be a 'Jazz Band,' and I am a 'Refounder'

marsbit05/26 04:43

BTC Faces Triple Resistance at $80,000 Milestone, HYPE Hits New Highs Signaling Potential | Invited Analysis

This weekly analysis maintains a structured framework, focusing on Bitcoin (BTC) and HYPE, dissecting their multi-timeframe price action to identify key support and resistance zones and formulate actionable trading plans. The previous week's short position on BTC yielded a 2.78% gain, reinforcing the "signal-driven, disciplined" approach. For Bitcoin, the core scenario revolves around the battle between the 78,500–79,500 USD resistance zone and the 73,500–75,000 USD support area. The daily chart shows BTC within a rising channel; a failure to hold support at the channel's midline could lead to a test of the lower boundary. The 4-hour chart details an 8-segment corrective structure from the 82,850 USD high. Two short-term strategies are proposed: (A) Selling on a failed rally into the 78.5k-79.5k zone, with a stop above 80,600, or (B) Selling a confirmed breakdown below the 73.5k-75k support, with a stop above 76,500. Medium-term positioning remains neutral. For HYPE, the 4-hour chart indicates a five-wave advance from the May 14th low, now showing potential exhaustion and a top warning signal near 65 USD. The core view is to watch for a potential short-term peak formation. The recommended strategy is to avoid chasing the rally and instead look for a long setup upon a pullback to the 47.5–50 USD support zone, provided clear stabilization and model confirmation signals appear. The report concludes with a detailed review of the prior BTC short trade, executed based on model signals and candlestick patterns, and reiterates strict risk management rules, including immediate stop-loss placement and trailing stops to protect profits. All analysis is presented as a personal trading log, not investment advice.

Odaily星球日报05/26 04:34

BTC Faces Triple Resistance at $80,000 Milestone, HYPE Hits New Highs Signaling Potential | Invited Analysis

Odaily星球日报05/26 04:34

Bitcoin Bulls Are Back In Action And They’re Looking To Close This CME Gap

Bitcoin bulls have reignited their push, testing a critical resistance level around $77,400 after breaking out of a descending channel pattern observed on the 4-hour chart. This price has been rejected twice, making a sustained close above it essential for confirming bullish momentum. If successful, the next key target is to fill the upper CME gap around $79,000, with a specific focus on the $79,450 level where significant selling pressure is anticipated. Conversely, a failure to hold above $77,400 could see Bitcoin fall back into the channel, shifting attention to the lower CME gap from the recent Friday close at $75,535. Further support levels lie at $75,000 and $73,700.

bitcoinist05/26 04:32