hodler

22 May 2026, 08:26

Mark Cuban slashes BTC holdings by 80% as gold climbs 11%

🚨 Mark Cuban sold 80% of his BTC amid sharp price drops. Gold surged 11% in six months, while BTC fell 17%. 🟡 Critical data: Cuban doubts in $BTC as “digital gold” intensified after gold hit $5,000. Continue Reading: Mark Cuban slashes BTC holdings by 80% as gold climbs 11% The post Mark Cuban slashes BTC holdings by 80% as gold climbs 11% appeared first on COINTURK NEWS .

22 May 2026, 08:24

Bitcoin implied volatility drops to 7 month low despite macro risks

BTC's implied volatility is a picture of calm even as financial headlines warn of macro risks.

22 May 2026, 08:21

Privacy and ZK Altcoins: Why the Market Is Repricing Confidential Finance

Crypto markets are re-rating a corner of the industry that many wrote off after high-profile enforcement actions: privacy and zero-knowledge (ZK) assets. Rather than a simple risk-on bounce, the shift reflects structural changes in costs, compliance, and real-world demand for selective confidentiality. This article unpacks why confidential finance is back in focus, where ZK altcoins fit in, and how to evaluate opportunities and risks without getting caught in narratives that don’t match reality. If you’re weighing exposure to privacy or ZK tokens, use the checklists, comparisons, and red flags below to pressure-test your thesis before committing capital. PointDetails Repricing driver Lower proof costs, compliance-aware designs, and private UX needs are broadening use cases for ZK and privacy assets. Not one market Payments privacy, programmable privacy, and ZK-scaling tokens have distinct risks, revenue models, and regulatory profiles. Valuation anchors Sequencer fees, proving incentives, gas burn/sinks, and protocol take rates provide more tangible value accrual than hype cycles. Regulatory reality Sanctions and AML rules still bite; selective disclosure and view keys are becoming differentiators over mixer-style anonymity. Key diligence Check proof system maturity, trusted setup, upgradability powers, audits, liquidity venues, and unlock schedules before entry. Risk spectrum From de-anonymization and smart-contract bugs to bridge risk and delistings, tail risks remain elevated in this segment. What ‘Repricing’ Means for Privacy and ZK Tokens When investors say the market is repricing privacy and ZK altcoins, they usually mean two things. First, multiples are being reset as projects demonstrate clearer value capture—rather than being treated as perpetual research bets. Second, regulatory and infrastructure shifts are narrowing the gap between “useful privacy” and “forbidden anonymity,” allowing some projects to be bucketed as investable infrastructure instead of enforcement risks. Unlike prior waves, the current interest is less about one-off privacy coins and more about the role of zero-knowledge proofs across the stack: payments, identity, rollups, compliance, and application privacy. That breadth creates more potential revenue paths—and more ways to misprice risk if you assume everything labeled “ZK” behaves the same. Catalysts: From Compliance-Ready Privacy to Cheaper Proofs Several developments are nudging confidential finance from niche to necessary: Cheaper verification on Ethereum: With EIP‑4844 lowering data availability costs for rollups, ZK systems can batch more proofs per unit cost, improving UX and economics for privacy-preserving apps. Selective disclosure becomes practical: View keys, spend authorization proofs, and attestations let users prove compliance facts (e.g., age, residency, source-of-funds checks) without revealing full transaction graphs. Zcash has long supported view keys; newer systems generalize the pattern to smart contracts. Institutions need confidentiality: Trading desks, market makers, and enterprises want to protect strategies and counterparties while meeting audit requirements. ZK proofs can reconcile these goals better than mixer-style tools. Account abstraction and better wallets: More flexible signing and session keys make it realistic to embed privacy defaults or compliance proofs at the wallet layer, reducing friction for end users. Rollup revenue clarity: Sequencer fees, MEV capture policies, and shared-prover networks provide clearer cash-flow narratives that equity-like investors can underwrite. These tailwinds don’t erase risk. Enforcement actions against mixer contracts and exchange delistings for privacy coins have shown regulators will act. The difference now is a spectrum of designs ranging from compliance-amenable to high-privacy systems, letting markets assign different risk premiums instead of one blanket discount. Mapping the Landscape: Payments, Rollups, and Private DeFi “Privacy” and “ZK” capture multiple sub-markets. Understanding which bucket a token belongs to is step one for pricing it correctly. Category What it does Representative projects (non-exhaustive) Notes on risk/fit Payments privacy Conceals sender/receiver/amounts and balances Zcash , Monero Higher regulatory scrutiny; Zcash supports view keys and selective disclosure; Monero prioritizes default privacy via ring signatures and stealth addresses. ZK rollups (scaling) Scale general computation, may add privacy at app level Starknet , zkSync , Polygon zkEVM Token value often tied to sequencing, governance, and ecosystem growth; base stack is compliance-friendly by default. Programmable privacy L1/L2 Private smart contracts or shielded app logic Mina , Manta Network , Aztec Stronger privacy capabilities; designs vary (trusted setup, proof types, compatibility). Regulatory path depends on disclosure tooling. Privacy rails on existing chains Shielded transfers within EVM or cross-chain Railgun and similar protocols Smart-contract risk on host chain; users depend on wallet hygiene to avoid metadata leaks. Pro tip: If a token’s branding leans on “ZK” but the protocol is primarily a scalability play, scrutinize whether the token actually captures any privacy premium—or if privacy is optional and app-level only. Valuation Lenses for ZK Altcoins Valuing privacy and ZK assets requires moving past speculative narratives and mapping tokens to specific value accrual paths. Consider the following lenses: 1) Sequencer and network fees For rollups, sequencing revenue is the most direct line item. Key questions: Who controls the sequencer today, and what is the roadmap to decentralize it? Does the token gate sequencer participation or revenue sharing, or is it governance-only? How are MEV and ordering rights handled—burned, shared, or privatized? 2) Proving markets and incentives Zero-knowledge systems need provers. Some networks use permissioned provers, others open marketplaces. Token economics may compensate provers or require staking for quality-of-service. Analyze whether proving rewards are sustainable and what happens if proof costs change materially. 3) Privacy as a paid feature Programmable privacy chains or rails can charge for shielded set interactions, relayer services, or compliance attestations. Look for an explicit take rate: who pays, who earns, and whether the fee is denominated in native tokens or an external asset like ETH. 4) Monetary policy and dilution Many ZK projects launched with sizable ecosystem allocations and long vesting schedules. Map unlocks, emissions, and foundation grants. A strong product can still see price pressure if circulating supply is expanding faster than organic demand. 5) Ecosystem stickiness Does the network offer tooling that materially lowers developer time-to-market for private features? Documentation, SDKs, audit availability, and EVM compatibility all influence whether activity concentrates on a chain—and whether token demand scales with it. Pro tip: Separate the chain’s technical moat from the token’s economic moat. A brilliant proof system does not guarantee token value capture if fees accrue elsewhere. Due Diligence Checklist: What to Verify Before You Buy Use this list to structure research across privacy and ZK assets: Proof system specifics: Is it zk-SNARK, zk-STARK, or hybrid? Does it require a trusted setup? How often are ceremonies repeated? Audits and formal verification: Are core circuits and contracts audited by reputable firms? Have issues been remediated? Upgradability and governance keys: Can the foundation pause contracts or update circuits? Centralized control can be useful early but raises censorship risk. Disclosure tooling: Are view keys, compliance attestations, or selective reveal features natively supported for institutional use? Bridge dependencies: If assets move cross-chain, what bridge or messaging layer is used? What happens during a bridge halt? Economic design: Who pays for proofs, and in which asset? Is there a sustainable fee sink or only emissions? Liquidity and venues: Which centralized exchanges and DEXs list the asset? Are there historical delistings in certain jurisdictions? Release schedule: Map cliffs and linear unlocks. Avoid entering just before heavy supply expansion. User privacy hygiene: Do wallets support best practices (decoy addresses, coin control, gas obfuscation), or do defaults leak metadata? Pro tip: Read the project’s threat model. If it doesn’t explicitly discuss metadata leakage, timing analysis, or counterparty risk, treat marketing claims with caution. Regulatory Friction and Practical Privacy Risks Compliance pressure is the defining risk for this segment. Sanctions on mixer contracts by U.S. authorities, combined with travel-rule enforcement in multiple regions, means that exchanges often err on the side of caution. Some venues have reduced support for anonymity-enhancing coins, especially in Europe and other tightly regulated markets. That said, compliance-friendly privacy is not an oxymoron. Systems that enable selective disclosure, audit trails, or third-party attestations can align with AML requirements better than black-box mixers. Zcash’s viewing keys, for example, allow holders to share transaction details with auditors while keeping data private by default. The presence of such tools does not eliminate regulatory risk, but it can change the conversation from prohibition to risk-based controls. Beyond policy, users face technical pitfalls: De-anonymization via metadata: IP leaks, timing correlations, and reused addresses can link activity even if amounts are shielded. Smart-contract bugs: Private DeFi relies on complex circuits; subtle bugs may not surface until edge-case interactions occur. Bridge failures: Cross-chain privacy adds another failure domain. A paused or exploited bridge can strand users. Small anonymity sets: New or thinly used systems provide weaker plausible deniability than mature networks with large user bases. Risk reminder: None of these assets are “safe.” Prices remain volatile, regulatory treatment varies by jurisdiction, and protocol changes can materially alter token economics. Case Notes: How Leading Projects Approach Confidentiality Below are brief, non-exhaustive notes to illustrate different design choices. Always consult primary documentation for current details. Zcash (ZEC) Zcash pioneered zk-SNARK-based shielded transactions. It supports view keys for selective disclosure and has iterated proof systems to reduce computational overhead. Not all wallets default to shielded transfers, and a significant share of activity can remain transparent, which affects user privacy outcomes. Official site: z.cash . Monero (XMR) Monero opts for default privacy using ring signatures, stealth addresses, and confidential transactions (with zero-knowledge range proofs). It does not rely on a trusted setup. While robust at the protocol level, users still need good wallet hygiene to prevent leaks. Official site: getmonero.org . Starknet (STRK) A general-purpose ZK rollup using STARK proofs. Starknet emphasizes scalability and composability; privacy is typically implemented at the application level rather than by default at the chain level. The STRK token aligns with governance and network incentives as the ecosystem decentralizes. Official portal: starknet.io . zkSync (ZK) An Ethereum-aligned ZK rollup with a focus on developer and user experience. Privacy is possible via application design, not by default. Token economics are oriented around network participation and governance; always check the latest documentation for specifics. Official site: zksync.io . Polygon zkEVM (POL ecosystem) Polygon’s zkEVM brings Ethereum-equivalent semantics with ZK validity proofs. While not a privacy coin, it is part of the ZK infrastructure wave lowering costs and enabling private app modules. See polygon.technology for architecture and token model updates. Mina Protocol (MINA) Mina leverages succinct proofs to keep chain size small and enable private computations through zkApps. Developer tooling centers on writing applications that can attest to facts without revealing raw data. Official site: minaprotocol.com . Manta Network (MANTA) Manta focuses on modular privacy for Web3, including mechanisms to add confidentiality to assets and applications. It targets EVM compatibility and user-friendly privacy flows. Verify current mainnet features and token utility on manta.network . Aztec Aztec has developed privacy-preserving infrastructure for Ethereum and has worked toward a programmable privacy rollup. The roadmap emphasizes private-by-default smart contracts with selective disclosure features. Check aztec.network for the latest status. Railgun Railgun is a smart-contract system that adds shielded transfers and private DeFi interactions to EVM chains. Users must still consider RPC privacy, wallet fingerprinting, and liquidity bridges. Details: railgun.org . Note: Regulatory positions evolve. Projects that offer selective disclosure may be perceived differently from tools designed to obfuscate origins. Always verify your jurisdiction’s rules before interacting with privacy tech. Portfolio Construction: Sizing, Liquidity, and Timing Privacy and ZK tokens can behave like high-beta infrastructure plays during market uptrends and face sharper drawdowns when liquidity tightens. A few pragmatic guidelines: Size small, scale on progress: Start with exploratory positions and add on delivered milestones (e.g., decentralizing sequencers, launching a proving marketplace, or shipping compliance tooling with adoption). Stagger entries around unlocks: Many projects have predictable supply expansions. Position after heavy unlocks if you want to avoid forced sellers. Prefer deep liquidity venues: In stressed markets, delisting or thin books amplify volatility. Assess both CEX and DEX depth. Diversify by design type: Mix scaling-centric ZK with programmable privacy and payments privacy to avoid single-regime bets. Track real usage, not headlines: Monitor developer traction, active addresses in shielded sets, and fee revenue rather than social metrics. Common mistakes to avoid: Conflating “ZK” with guaranteed privacy; many ZK chains are public by default. Ignoring metadata risks and assuming shielded equals anonymous under all conditions. Buying into tokens where the value accrues to an off-chain operator or a different asset. Underestimating the impact of compliance frictions on exchange support and liquidity. Markets are repricing because a subset of projects can now articulate clearer cash flows and credible, compliance-aware privacy stories. Pricing discipline—anchored in token design and real usage—helps separate durable momentum from narrative-only spikes. For ongoing coverage, analysis, and interviews with builders at the frontier of confidential finance, visit Crypto Daily . Frequently Asked Questions Are privacy coins and ZK rollups the same thing? No. Privacy coins focus on concealing transaction details at the protocol level, while many ZK rollups use zero-knowledge proofs for scalability and correctness but leave transaction data public by default. Some rollups and L1s add programmable privacy on top. Why are regulators tougher on mixers than on ZK rollups? Mixers are designed to break transaction traceability, which can obstruct AML efforts. ZK rollups generally prioritize scalability and maintain transparent state, making them easier to supervise. Systems with selective disclosure tools tend to be viewed as more compatible with compliance frameworks. What metrics indicate real adoption for privacy networks? Look for growth in shielded set participation, recurring fee revenue tied to private actions, developer activity in privacy SDKs, and the availability of audited, production-grade wallets supporting private flows. How do trusted setups affect risk? Some zk-SNARK systems require a setup ceremony to generate parameters. If compromised, privacy guarantees could weaken. Modern designs reduce trust through multi-party ceremonies or use proof systems (like some STARKs) that avoid trusted setups. Can I be compliant while using privacy tech? Often yes, if the system supports selective disclosure (e.g., view keys or attestations) and you follow jurisdictional rules. The burden remains on users and institutions to maintain records and provide proofs when required. What’s the main investment risk unique to this segment? Beyond price volatility, regulatory actions can rapidly impact liquidity and exchange support. Technical risks also skew higher due to complex circuits and cryptography. Do ZK proof cost reductions automatically raise token prices? Not automatically. Lower costs can expand use cases, but token performance depends on whether value accrues to the token via fees, staking, or governance—plus supply dynamics and market liquidity. Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

22 May 2026, 08:19

Chart Decoder Series – Volume Profile Fixed Range: How This Move Was Built

BTC is under pressure. After repeated rejections from the $80K to $83K region, price has now broken lower and is testing below $78K , right around the monthly open. At the same time, institutional demand is weakening, ETF flows have flipped negative, and macro conditions are shifting risk-off. When structure starts to shift, professional traders no longer ask whether this is a dip, but whether the market is beginning to build value lower. That’s what Volume Profile reveals. Building on the Volume Profile Visible Range indicator that we explained last month, this month we explore Volume Profile Fixed Range , which is a more precise way to see where value is forming inside the current move. Because when you understand where value is building, you’re no longer guessing, you start mastering the game. Quick refresher: What is Volume Profile? Volume Profile shows how much trading happened at each price level. Instead of looking at volume over time, it shows you where the market actually did the most trading. That shift in perspective is important. Because price alone tells you where the market moved. Volume Profile tells you the price levels where it mattered. Each horizontal bar is split into two colours: Yellow = buying volume. Blue = selling volume That’s how you start to see: where the market agreed on value where buyers and sellers were most active where price is more likely to slow down or react At the centre of it all is the Point of Control (POC) , the level with the highest traded volume. This is often the market’s centre of gravity, a level price tends to revisit because that’s where the most agreement took place. Around the POC sits the Value Area , the range where the majority of trading occurred. Think of it as the zone where the market feels most comfortable. When price is inside it, the market is balanced. When price moves away from it, the market is either exploring or repricing. Volume Profile Visible Range vs Volume Profile Fixed Range There are two ways to use Volume Profile, and each answers a different question. Volume Profile Visible Range shows you where the market built value across your entire screen. It gives you context. You see the bigger picture, where price has spent the most time and where the key levels are. Volume Profile Fixed Range zooms in. It lets you isolate a specific move and see exactly where value was built within that move. Visible Range is context. Fixed Range is precision. Used together, they tell you not just where value was, but where it is shifting. How to use Volume Profile Fixed Range The key with Fixed Range is not to draw it everywhere. It only works when you anchor it to the move that actually matters. Start by identifying a clear shift in the market: a rejection from a key level a breakdown or breakout a change in structure, like lower highs forming or support giving way Once you’ve identified that move, draw your Fixed Range from: where the move began to where it ended or started to stabilise Example in Action Let’s look at BTC/USD on the 1-hour chart with VPVR loaded up on May 19th, 2026. Price broke down aggressively after being rejected at $82K, losing support and entering quickly into the ~$76–77K zone. The move was sharp and one-sided, with little resistance on the way down. Since then, price has stabilised and is now consolidating around ~$77K, showing early signs of acceptance at lower levels rather than an immediate reversal. Volume Profile: A large high-volume node (HVN) is now forming around ~$76.8–77.2K, marking the area where the market is starting to build new trading activity after the breakdown. POC (~$77K): Sits within this zone, acting as the new centre of gravity where price is repeatedly trading and finding short-term balance. Above current price: A high volume node at ~$78–79K, reflecting the prior value area where the breakdown originated. This zone now acts as overhead resistance. Below current price: Volume is thinner, indicating that the move down into ~$76K happened quickly, with limited structure built beneath. Volume Profile shows that the market is no longer holding its previous value around ~$78–79K. Instead, it is beginning to establish a new value area lower, around ~$77K. The strong clustering at current levels suggests acceptance, while the heavier volume above signals supply that price has yet to reclaim. This means that price is now trading within newly formed value, not returning to prior acceptance. For intraday traders using the 1-hour chart, if price holds above the ~$77K POC, it suggests continued consolidation and potential rotation higher toward ~$78–79K. If price fails to hold this level, it reinforces the idea that the breakdown is still in play, with the market likely to continue building value lower. Now let’s add Volume Profile Fixed Range To get a clearer read on what’s actually controlling price right now, we isolate the most recent move. In this case, we draw Volume Profile Fixed Range from the last major rejection area (~$80.3K) to the recent low (~$76k) Why this section? Because this is the move that shifted market structure . It’s where price was rejected from prior value, buyers lost control, and the market broke down into a lower trading range. If we want to understand what’s happening now, this is the move that matters. Fixed Range POC (~$77K): Sits at the same level as the broader Visible Range POC, marking a shared centre of gravity. Within this range: Volume clusters tightly around the ~$77K region, showing where the market has stabilised after the breakdown and is now building acceptance. Above this range: Volume remains heavier into the ~$78–80K region, reflecting prior activity and the area price has yet to reclaim. This is the key shift: the market has already established a new value area around ~$77K . The fact that the Fixed Range POC and Visible Range POC align at the same level tells us: this new value is being accepted across both the most recent move and the broader structure. Rather than being in transition, the market is currently in equilibrium at a lower level . Bonus Read: 4H Timeframe Context Zooming out to the 4-hour chart adds perspective. Price pushed into the ~$81–82K region multiple times before reversing sharply and breaking lower, trading down into the ~$76–77K zone. Volume Profile: Visible Range (broader context): A large high-volume node (HVN) sits around ~$80–81K, marking the area where the market previously built the most trading activity. Fixed Range POC (~$77K): Sits well below the prior value area, accumulating volume and marks the centre of gravity for the most recent move. This shows that the market has moved away from its previous equilibrium and is now accepting lower prices . Price is not just pulling back. It has repriced and stabilised at a lower level . Above current price (~$79–81K): Heavy volume from prior value, now acting as resistance At current price (~$77K): New acceptance zone, where the market is balancing Below (~$75–76K): Thinner volume, meaning a break lower could move quickly Holding around ~$77K keeps the market balanced within this new value area. Unless buyers can push price back above ~$79–81K and hold it, the structure stays weak. That means price is more likely to continue lower, especially since there’s not much volume support below ~$75–76K. Try it on Bitfinex Open any trading pair Add “Volume Profile Visible Range” Then apply “Volume Profile Fixed Range” to isolate a move Leverage Bitfinex’s zero trading fees to implement your strategies with zero trading costs See Volume Profile in action Bitfinex. Master Your Universe. Explore the full Chart Decoder library: SMA vs EMA for trend direction MACD for momentum shifts RSI for overbought/oversold zones Bollinger Bands for volatility and price extremes Stochastic Oscillator for timing reversals VWAP for fair price detection Volume + OBV for spotting smart money flow ATR for volatility-based risk management Fibonacci Retracements for market pullbacks StochRSI for precision timing Ichimoku Cloud Part 1 for understanding the 5 components of the cloud Ichimoku Cloud Part 2 for mastering Cloud components & powerful indicator pairings Accumulation/Distribution for detecting institutional buying and selling Money Flow Index for tracking the strength of buying and selling pressure Chaikin Money Flow for confirming real capital flow Volume Profile Visible Range for broader market value zones The post Chart Decoder Series – Volume Profile Fixed Range: How This Move Was Built appeared first on Bitfinex blog .

22 May 2026, 08:12

Bitcoin price record 90-day uptrend 'resembles bull market rally:' New analysis

Bitcoin rallied for 90 days after its dip below $60,000, breaking the record for the longest uptrend within a bear market in BTC price history.

22 May 2026, 08:10

Bitcoin Open Interest on Binance Climbs Above Key Moving Average, Analyst Says Deleveraging Phase Ending

BitcoinWorld Bitcoin Open Interest on Binance Climbs Above Key Moving Average, Analyst Says Deleveraging Phase Ending After months of sustained position unwinding, the Bitcoin futures market on Binance is showing signs of a structural shift. Cryptocurrency analyst Darkfost noted that open interest (OI) has risen above its 180-day moving average, a development that historically signals the end of a deleveraging phase. What the Data Shows In a post on X, Darkfost explained that a deleveraging phase—where traders close leveraged positions and exit the market—is typically characterized by open interest falling below the 180-day moving average. This pattern had been in place since October 10 of last year. The reversal, however, is now underway. According to the analyst’s data, Binance’s Bitcoin open interest has climbed to approximately $8.96 billion, up from a low of around $6.4 billion recorded in March. This recovery suggests that capital is flowing back into futures contracts, potentially indicating renewed trader confidence and risk appetite. Why This Matters Open interest is a key metric for gauging market sentiment and liquidity. A prolonged period of declining OI often reflects fear, uncertainty, or a lack of conviction among traders. The recent uptick, particularly when crossing a long-term moving average, can be interpreted as a shift in market structure. For retail and institutional participants alike, the end of a deleveraging cycle may signal a healthier environment for price discovery and reduced downward pressure from forced liquidations. However, analysts caution that rising open interest alone does not guarantee a bullish outcome—it can also precede increased volatility. Broader Market Context The development comes amid a broader stabilization in cryptocurrency markets after a turbulent period marked by regulatory actions and macroeconomic uncertainty. Bitcoin’s price has remained relatively range-bound in recent weeks, but the recovery in futures activity suggests that traders are positioning for potential directional moves. Binance, as the world’s largest cryptocurrency exchange by volume, remains a bellwether for market trends. The exchange’s Bitcoin OI data is closely watched by traders and analysts for early signs of changing sentiment. Conclusion The crossing of Binance Bitcoin open interest above its 180-day moving average, as highlighted by analyst Darkfost, provides a data-driven indication that the extended deleveraging phase in the futures market may be concluding. While not a definitive predictor of price direction, the metric offers valuable insight into trader behavior and market structure. Investors and analysts will be watching closely to see if this trend holds in the coming weeks. FAQs Q1: What is open interest in Bitcoin futures? Open interest represents the total number of outstanding futures contracts that have not been settled. Rising OI indicates new money entering the market, while falling OI suggests capital is exiting. Q2: Why is the 180-day moving average important? The 180-day moving average is a long-term trend indicator. When open interest crosses above it, it often signals a potential shift from a deleveraging (bearish) phase to a re-leveraging (neutral or bullish) phase in the market. Q3: Does rising open interest mean Bitcoin price will go up? Not necessarily. Rising open interest can precede both upward and downward price movements. It indicates increased activity and conviction, but the direction depends on whether new positions are predominantly long or short. This post Bitcoin Open Interest on Binance Climbs Above Key Moving Average, Analyst Says Deleveraging Phase Ending first appeared on BitcoinWorld .