Dusk: Blockchain vytvořený pro věci, které kryptoměna vyhýbala
@Dusk začíná nepříjemnou předpokladem, kterým se většina blockchainů vyhýbá: finanční systém nezhroutí nedostatek decentralizace, ale když se neshodují soukromí, odpovědnost a konečnost účtování. Zatímco se většina kryptoměny věnovala po celá léta spekulacím a kompozici, Dusk tiše navrhl svůj systém podle realit regulovaného kapitálu, kde každá transakce musí být zároveň zavazující i zabezpečená. Toto není řetězec, který honí uživatele. Je to řetězec připravený pro instituce, které ještě nejsou úplně připraveny.
Walrus: Úložná vrstva, kterou obchodníci špatně ocenili
@Walrus 🦭/acc se nehlásí hlasitě, a právě proto většina trhu čte jeho význam špatně. Na první pohled se lidé snaží zařadit ho do známých příběhů: dezentralizované úložiště, dostupnost dat, další investice do infrastruktury. Ale Walrus nekonkuruje o pozornost způsobem, kterým to dělají většina protokolů. Umísťuje se pod chování, nikoli nad něj, tichounce se vnořuje do způsobu, jakým se bude hodnota skutečně pohybovat v dalším cyklu. Walrus vstupuje na trh v okamžiku, kdy blockchajny už vyhrály válku o provádění, ale ztrácejí válku o data. Řetězce mohou uzavírat obchody v milisekundách, avšak aktiva, média, modely a stav, na které tyto obchody závisí, stále zůstávají nevhodně mimo řetězec, rozdělené a ekonomicky neslučitelné. Walrus se nesnaží nahradit blockchajny. Snaží se učinit blockchajny ekonomicky upřímnými vůči datům, na které závisí.
Walrus: The Silent Infrastructure Shaping Web3’s Data Economy
@Walrus 🦭/acc is emerging as a foundational protocol where storage itself becomes a tradable, economically disciplined asset. Unlike typical DeFi tokens, WAL’s utility is inseparable from network performance: every stored fragment is tied to verifiable proofs, and those proofs dictate reward distribution, creating a real-time feedback loop between operator reliability and capital efficiency. Traders discounting this overlook how operational economics now drive liquidity behavior.
The protocol’s integration with Sui introduces subtle but powerful composability. Storage objects behave like programmable on-chain assets, enabling conditional access, automated lifecycle enforcement, and even derivative-style market interactions. This transforms passive storage into a vector for dynamic financial signaling: stakers and delegators now face incentives akin to structured credit, where risk is embedded directly into availability.
On-chain adoption metrics hint at emerging concentration: a small subset of nodes captures most rewards, creating latent systemic dependencies. As more applications embed Walrus for NFT content, AI datasets, and dApp state, these dependencies will shape both long-term token velocity and network resilience, offering a rare early glimpse into the hidden mechanics of decentralized infrastructure economics.
@Walrus 🦭/acc is quietly turning storage into a measurable market signal, not just a technical utility. On-chain, availability proofs act as a performance oracle, aligning economic incentives with operational reliability. Traders ignoring this miss the subtle liquidity flows: staked WAL isn’t passive, it’s bonded to measurable uptime, creating friction that constrains speculative rotation and stabilizes token velocity in ways raw supply data never captures.
The protocol’s erasure coding doesn’t just reduce costs it reshapes counterparty risk. Nodes that fail to deliver fragments aren’t just unreliable; they carry slashing risk that flows directly into delegator decisions, effectively creating a real-time credit market embedded in storage behavior. On-chain metrics already hint at emerging concentration: a small set of high-performance operators is capturing outsized yield, signaling potential systemic exposure if adoption scales faster than decentralization.
In practice, Walrus is teaching a new form of capital allocation: efficiency, accountability, and economic resilience now matter as much as liquidity. Traders overlooking this are blind to the subtle forces governing token and network durability.
Selective transparency is quietly redefining how capital moves on-chain, and Dusk’s architecture exposes a rarely discussed asymmetry: institutions can shift significant tokenized assets without triggering typical DeFi volatility. The chain’s confidential contract layer fragments observable liquidity, meaning market pricing often lags underlying economic flows. Traders who treat on-chain metrics at face value are systematically misreading risk and opportunity.
What few appreciate is how regulatory-aligned incentives shape behavior. Stakers and custodians operate with time horizons and exit conditions unlike speculative traders. When a new issuance or confidential contract is activated, capital rotation occurs off-book, creating episodic liquidity shocks rather than steady volume. These flows are subtle but consequential: they can compress spreads, induce sudden repricing, or temporarily decouple staking yields from market signals.
The chain’s growth is also a function of operational friction. Legal, custodial, and selective disclosure overheads act as natural dampeners on adoption, concentrating value in fewer, deeper positions. For those tracking Dusk, understanding the interplay between regulatory mechanics and on-chain opacity is more predictive than any price chart.
The market consistently undervalues the operational friction embedded in privacy focused Layer-1s, and Dusk is a prime example. Its selective disclosure model creates a structural incentive mismatch: compliance-heavy token flows naturally segment liquidity, discouraging speculative capital while attracting slow-moving, regulated institutions. The result is a low-turnover network where price action is decoupled from on-chain activity in ways traders rarely account for.
What matters for active participants isn’t the headline TPS or contract counts.it’s the asymmetry between visible staking yields and the hidden capital locked in confidential contracts. Traders observing open order books see only a fraction of the chain’s economic layer; the remainder moves in opaque corridors. This opacity subtly suppresses volatility under normal conditions but seeds abrupt repricing whenever regulatory-aligned participants adjust exposure. The effect is a market that appears inert until a few large actors shift positions, at which point liquidity snaps tighter than typical DeFi models predict.
Current volatility regimes amplify this dynamic. With capital rotation favoring higher-yielding Layer-1s with composable public DeFi, Dusk becomes a deliberate, patience driven play. On-chain signals, like confidential contract deployments or selective staking inflows, offer leading indicators of institutional positioning rather than retail sentiment. Understanding this distinction is critical: Dusk’s price discovery is not continuous, it’s episodic, dictated by the cadence of regulated capital rather than market chatter.
Walrus: Decentralized Storage That Could Rewire the Web3 Economy
If Bitcoin codified trustless value and Ethereum codified programmable logic, then Walrus is quietly codifying the storage layer for Web3 the often-overlooked infrastructure that determines whether decentralized applications, AI datasets, and NFT ecosystems can actually persist. Most blockchain conversations focus on speed, yield, or consensus, but few consider the economics of keeping large files alive, verifiable, and resilient at scale. Walrus tackles exactly that problem, combining cryptography, economic incentives, and smart contract integration in a way that most observers still underestimate. At its core, Walrus is not just a storage network; it is a performance-driven marketplace for data persistence. Its use of advanced erasure coding a system that shards, encodes, and distributes files across multiple nodes allows enormous datasets to survive node failures without bloating costs. Unlike networks that rely on full replication, Walrus treats storage as a dynamic, reconstructible mosaic. Large AI model weights, 4K video archives, and blockchain snapshots can exist in the network with fault-tolerance guarantees that are mathematically optimized rather than purely redundant. This is an architectural choice that carries profound economic implications: storage efficiency becomes directly tied to operator performance and network reliability. The $WAL token is more than a payment mechanism; it is the engine of accountability. Node operators must stake WAL to participate, and rewards are distributed based on availability proofs rather than mere uptime. Failures carry real economic penalties, creating a market discipline unseen in most decentralized storage networks. Delegators, developers, and even dApp builders have a stake in network performance not abstractly, but through financial exposure. This alignment of incentives ensures that data persistence is not theoretical, but enforceable and economically rational. Walrus’s integration with Sui blockchain amplifies these dynamics. Each storage object becomes a first-class citizen on-chain: metadata, proofs, and access policies are all programmable, allowing developers to create smart contracts that interact with storage directly. Imagine NFT platforms where content is automatically verifiable and retrievable, AI pipelines that enforce data lifecycle rules, or decentralized games that store evolving world states in a way that is both secure and composable. Storage is no longer a passive backend; it is a programmable, tokenized, and accountable component of decentralized systems. This architecture also has macroeconomic effects. Because storing large datasets consumes network resources and WAL tokens, high network adoption could create deflationary or locking pressure, reshaping token dynamics in ways few blockchains have experienced. Beyond its utility, Walrus acts as a feedback loop: as storage demand grows, the economic ecosystem tightens, aligning developer adoption, token value, and long-term network resilience. Walrus emerges at a pivotal moment. The Web3 economy is moving from a token-centric paradigm to a data-centric one. NFTs require persistent metadata, AI models demand verifiable datasets, and dApps need scalable storage that doesn’t rely on centralized cloud providers. If permanence, accountability, and verifiability become competitive advantages, then protocols like Walrus could quietly anchor the next generation of Web3 infrastructure not as a flashy DeFi token,but as the backbone upon which complex decentralized systems reliably operate. This is not hype. Walrus is redefining how we think about digital permanence and accountability. It is a protocol built for the long view: where storage, incentives, and composability converge to enable applications that simply could not exist otherwise. The real test won’t be price charts, but adoption: how many developers embed Walrus into production, how effectively operators uphold economic commitments, and how resilient the network proves under real-world stress. In the unfolding Web3 landscape, Walrus isn’t just storing files it is storing the infrastructure of the future.
Dusk: The Blockchain That Quietly Exposes Crypto’s Biggest Lie
@Dusk does not begin with a promise. It begins with an accusation. The accusation is simple: most blockchains were never designed for real finance, only for speculation pretending to be infrastructure. From its first block, Dusk positions itself not as a faster chain or a cheaper chain, but as a system that assumes regulators exist, institutions behave rationally, and capital cares more about settlement certainty than Twitter narratives. The market often frames privacy and compliance as enemies. Dusk treats that framing as a category error. In real financial systems, privacy is not optional, it is structural. Banks do not publish balance sheets in real time. Clearing houses do not expose counterparty positions to the public. Dusk’s core insight is that transparency was never the value proposition of finance; auditability was. Those are not the same thing, and confusing them has distorted most crypto design decisions over the last decade. Dusk’s architecture reflects this distinction in a way few chains dare to attempt. Privacy is not an application layer feature bolted on with mixers or zk-wrappers. It is embedded into the transaction logic itself, where data can remain confidential while still being provably correct. This is not privacy as camouflage. It is privacy as accounting discipline. The result is a system where regulators can verify rule adherence without broadcasting sensitive financial behavior to the entire market, a subtle but radical shift in how on-chain trust is constructed. Most traders underestimate how deeply regulation shapes capital flow. Institutional money does not avoid crypto because yields are insufficient. It avoids crypto because uncertainty compounds faster than returns. Dusk’s real innovation is not cryptographic elegance but economic predictability. Deterministic finality, controlled disclosure, and identity-aware execution reduce the hidden tail risks that make compliance departments veto entire asset classes. If you were watching on-chain data during recent RWA pilots, you would notice volume clustering not around yield but around settlement reliability. That is the signal Dusk is tuned to. The modular structure is not about scalability in the retail sense of more users clicking buttons. It is about isolating financial risk domains. Settlement logic remains conservative, execution layers can evolve, and privacy circuits can be audited independently. This mirrors how real financial infrastructure separates clearing, trading, and custody, a design choice that sacrifices narrative simplicity for institutional survivability. When stress hits markets, monolithic systems fail first. Dusk is built for stress, not hype cycles. There is also an uncomfortable truth Dusk exposes: most DeFi liquidity is not capital, it is momentum. It flows where incentives are loud, not where systems are resilient. Dusk is structurally unattractive to mercenary liquidity because it does not reward reflexive leverage games. That may look like a weakness on charts today, but historically, the chains that outlive cycles are the ones that bored speculators early. Watch wallet behavior, not token velocity, and you will see a different story forming. Tokenized real-world assets are often marketed as a narrative bridge between TradFi and crypto. In practice, they fail because legal enforceability and on-chain logic rarely align. Dusk addresses this mismatch by encoding compliance conditions directly into asset behavior, not through off-chain promises. A bond on Dusk behaves like a bond because it cannot behave otherwise. This subtle constraint changes issuer incentives, reduces operational overhead, and quietly removes entire classes of legal ambiguity. That is not exciting, but it is transformative. The long-term bet Dusk is making is that the next phase of crypto adoption will not be driven by users but by balance sheets. When that shift happens, privacy will not be debated on social media, it will be assumed in system design. Compliance will not be an afterthought, it will be the entry condition. Dusk is positioning itself not for the next bull market, but for the moment crypto stops asking for permission and starts being used by entities that never needed permission in the first place. If you were to overlay regulatory clarity timelines, institutional custody adoption, and on-chain settlement experiments on a single chart, you would notice convergence rather than divergence. Dusk lives in that convergence. Quietly, deliberately, and without asking the market to like it. That may be why most people are still looking elsewhere. And that is usually when infrastructure is being built.
I’m tracking $XAG after a short liquidation near $86.173, showing shorts were forced out during a volatility expansion move. EP: $85.4 – $86.6 TP1: $88.2 TP2: $90.9 TP3: $94.8 SL: $84.6 Holding above $85.4 keeps trend continuation favored for $XAG
Sleduji $CC , který následuje dlouhou likvidaci kolem 0,13966 USD, což odráží pozdější dlouhé pozice do slabé struktury. EP: 0,137 USD – 0,141 USD TP1: 0,146 USD TP2: 0,154 USD TP3: 0,166 USD SL: 0,133 USD Stabilní základ nad 0,137 USD udržuje možnost obnovy pro $CC
Sleduji $ETH po dlouhém likvidaci blízko $3126,82, což ukazuje, že zajištěné dlouhé pozice byly vypuzeny během korektivního ústupu. EP: $3095 – $3135 TP1: $3185 TP2: $3260 TP3: $3375 SL: $3058 Obnovení $3135 by přesunulo dynamiku zpět ve prospěch nákupních sil na $ETH
Sleduji $PLAY sledování krátké likvidace kolem 0,06059, kdy se prodavači ocitli v pasti během pohybu s nízkou likviditou. EP: 0,0595 – 0,0612 TP1: 0,0648 TP2: 0,0695 TP3: 0,0762 SL: 0,0579 Pokud cena zůstane nad 0,0595, zůstává výhodný nárůst pro $PLAY
I’m watching $XMR after a short liquidation near $596.46, signaling shorts were squeezed as price pushed through a key intraday level. EP: $590 – $598 TP1: $612 TP2: $628 TP3: $655 SL: $582 Holding above $590 keeps bullish continuation in play for $XMR
Dusk — The Quiet Rebuild of Financial Infrastructure Nobody Is Trading Yet
@Dusk did not emerge from the usual crypto impulse to move fast and capture attention. It was built with a different instinct: assume the market will eventually demand constraints, and design for that future before anyone asks. While most Layer 1s optimized for throughput, composability, or narrative velocity, Dusk optimized for something traders rarely price correctly until it is missing legal finality with privacy intact. That choice has kept it out of the spotlight, but it has also insulated it from many of the structural dead ends the market is now running into. The uncomfortable truth is that public blockchains solved transparency before they understood finance. Radical openness works for memes and speculation, but it collapses when real balance sheets arrive. Funds cannot expose positions in real time. Issuers cannot leak cap tables. Market makers cannot operate when every hedge is visible. Dusk’s core insight is that privacy is not an ideological feature, it is a market primitive. Without it, sophisticated capital simply does not participate, no matter how good the yield looks on paper. What makes Dusk interesting is not that it uses zero-knowledge techniques many chains do but how deeply those techniques are wired into transaction logic. Privacy on Dusk is not a side channel or a special mode. It is part of how value moves, how ownership is proven, and how compliance is enforced without turning the ledger into a surveillance device. The system assumes that regulators, auditors, and counterparties all need different slices of truth, and it structures transactions so those slices can coexist without breaking consensus. That design reflects real institutional workflows, not crypto ideals. This is where most market commentary misses the point. People talk about “compliant DeFi” as if it were a watered-down version of real DeFi. In practice, it is a different product entirely. Dusk is not trying to onboard retail users chasing yield. It is building rails for assets that already exist, already generate cash flows, and already live under legal frameworks. The chain’s role is not to replace law, but to compress it into code where it can reduce friction without removing accountability. If you look at on-chain behavior through that lens, Dusk’s architecture starts to make more sense. Deterministic finality matters more than peak transactions per second when you are settling regulated instruments. The cost of reversal is not an inconvenience, it is a legal event. Fast settlement is not about trading speed, it is about balance sheet certainty. This is why Dusk’s consensus design prioritizes predictability over spectacle. It is optimized for markets that care about when a trade is truly done, not just when it looks done on a block explorer. Another overlooked angle is how Dusk reframes identity. Most chains treat identity as an external problem, handled by front ends or off-chain providers. Dusk treats it as an on-chain resource that can be proven without being revealed. That changes how access control works. Instead of walls, you get filters. Instead of whitelists, you get conditions. A user does not need to announce who they are, only that they satisfy the rules of the instrument they are interacting with. This subtle shift is critical for scaling regulated markets without recreating the inefficiencies of traditional intermediaries. From a market perspective, this positions Dusk in an odd place. It does not benefit from speculative reflexivity in the same way other Layer 1s do. Its success is tied to slow, often invisible adoption by institutions, pilots, and regulatory sandboxes. That makes it easy to ignore during hype cycles. But it also means its progress, when it happens, is harder to unwind. Infrastructure adopted for compliance reasons tends to stick, because switching costs are political and legal, not just technical. There is also a timing element that is easy to underestimate. Tokenization of real-world assets is no longer a theoretical future. It is happening in fragments across jurisdictions, often in constrained environments. The biggest bottleneck is not issuance, it is secondary market structure. How do you trade assets that cannot be globally permissionless, but also cannot be trapped inside legacy systems? Dusk’s answer is to make the blockchain itself the compliance layer, rather than wrapping compliance around it like duct tape. If this model proves workable at scale, it becomes a template others will struggle to retrofit. Critically, Dusk is not betting on maximal adoption. It is betting on inevitability. The assumption is that as crypto matures, it will collide with regulation not as an enemy but as a constraint that must be engineered around. Chains that cannot express legal nuance at the protocol level will remain peripheral to serious capital. Chains that can will not need to chase users; users will be routed to them by necessity. The market today still prices attention more than architecture. But if you look at where capital is trying to go not where it is speculating, but where it wants to settle the demand signal is clear. Privacy that regulators can tolerate. Transparency that traders can survive. Finality that courts can recognize. Dusk sits at that intersection, quietly building for a phase of the market that has not fully arrived, but is already unavoidable. The irony is that when this phase becomes obvious, Dusk may no longer feel early. It will feel boring, infrastructural, and essential. That is usually how real financial systems succeed.
Walrus: The Quiet Data Layer That Crypto Traders Are Still Mispricing
@Walrus 🦭/acc doesn’t announce itself like a revolution, and that’s exactly why most of the market is missing it. Walrus enters the conversation not as a token chasing attention, but as an infrastructure layer quietly redefining how capital, data, and incentives actually move beneath modern blockchains. In a cycle obsessed with narratives, Walrus is building mechanics and mechanics always outlive narratives. Most people frame Walrus as decentralized storage on Sui.That description is technically correct and strategically useless. What Walrus really introduces is a shift in how blockchains externalize weight. Blockchains are not limited by transactions anymore; they are limited by data gravity. Every NFT image, AI dataset, rollup proof, and application state snapshot competes for persistence. Walrus doesn’t just store data cheaply it reframes data as a staked economic object with uptime guarantees enforced by capital, not trust. The key insight most miss is that Walrus is not optimizing for users, it is optimizing for operators. Erasure-coded blobs are not just a compression trick; they are an incentive design. By lowering replication overhead while increasing reconstruction thresholds, Walrus forces storage nodes to behave like disciplined capital allocators. Nodes are no longer rewarded for hoarding disks but for maintaining reliability under probabilistic failure. This changes the cost curve of decentralized storage from brute force redundancy to capital-weighted responsibility. That distinction matters because it scales. Building on Sui is not a branding choice; it’s a structural one. Sui’s object-centric execution model allows Walrus blobs to exist as programmable entities rather than passive files. This means storage availability can be reasoned about inside smart contracts without oracle theater. In practical terms, a DeFi protocol can condition liquidity, rewards, or even liquidations on the verifiable availability of off-chain data. That’s not storage as a service that’s storage as a primitive. Market behavior already reflects this shift, even if commentary hasn’t caught up. Capital is rotating away from pure execution chains toward infrastructure that reduces long-term operating costs. You can see it in validator economics, in rollup design, in how AI-native crypto projects are choosing data backends. Walrus sits directly in that flow. When developers optimize for survival instead of hype, storage costs become existential. Walrus is priced like a feature while being used like a dependency. There’s also an uncomfortable truth here for token speculators. WAL is not designed to pump easily. Its value accrues through delegated stake, service demand, and governance relevance, not narrative velocity. That’s why short-term traders often underestimate it. But structurally, WAL behaves more like infrastructure equity than a meme asset. Storage demand compounds quietly. Governance relevance compounds slowly. And both are brutally hard to replace once embedded. The most overlooked angle is how Walrus reshapes censorship resistance. Not through ideology, but through economics. By fragmenting data across nodes with partial reconstruction thresholds, censorship becomes expensive rather than impossible. That’s a stronger guarantee. It aligns with how real-world systems fail: through cost escalation, not binary collapse. Traders who lived through cloud outages and RPC blackouts understand why this matters more than slogans. If you were to chart Walrus properly, you wouldn’t start with price. You’d start with stored blob growth, average reconstruction thresholds, delegated stake concentration, and node churn during network stress. Those metrics tell you whether the system is becoming antifragile or decorative. Early signs suggest the former, which is why enterprise-grade protocols are already experimenting quietly rather than announcing loudly. The long-term implication is simple and uncomfortable. As crypto matures, execution becomes commoditized, but data persistence becomes strategic. Walrus is positioning itself exactly at that fault line. Not loud enough for tourists. Not simple enough for casual narratives. But structurally placed where future blockchains offload their weight. That’s not a story you trade in a week. It’s a system you wake up inside one day and realize you can’t easily leave.
@Dusk Network exposes a subtle but persistent inefficiency: the market punishes transparency for large participants. Its confidential smart contracts aren’t a privacy gimmick they are a structural tool for moving meaningful size without triggering reactive liquidity squeezes.
That creates a paradox: on-chain activity looks thin, yet meaningful capital is quietly cycling, invisible to conventional volume metrics. The overlooked mechanism is how privacy interacts with execution cost. When settlement terms, collateral details, and counterparty exposure are shielded, market makers recalibrate risk asymmetrically. Spreads tighten for deep participants while signaling to momentum traders evaporates. This is why Dusk often appears stagnant despite steadily growing institutional integration liquidity here is purposeful, not performative.
Right now, as volatility contracts and retail-driven momentum retreats, capital is shifting into chains that optimize execution friction, not chart visibility. On-chain metrics underrepresent real usage, and token events provoke muted reactions. Dusk isn’t failing adoption; it’s hiding it. Traders who misread this miss where execution certainty is quietly accruing value.
@Dusk Network forces an uncomfortable realization: markets reward transparency for traders, but institutions pay to avoid it. The protocol’s real bet isn’t privacy as ideology, it’s privacy as execution insurance in a world where on-chain visibility has become a tax on size.
What most miss is how confidential smart contracts reshape incentives upstream. When settlement terms and counterparty exposure are shielded, capital can move without advertising intent. That reduces adverse selection, but it also suppresses the kind of noisy on-chain signals retail traders rely on. The result is a chain that looks quiet on dashboards while still being structurally useful to actors who don’t need social validation.
Right now, as leverage thins and volatility compresses, capital is migrating toward environments where slippage is engineered away, not traded against. You can see it in the muted response to token events and the lack of momentum chasing. Dusk’s challenge isn’t technology or compliance. It’s that invisible liquidity doesn’t pump narratives it settles transactions.
@Dusk Network doesn’t compete for retail attention because it isn’t built for retail reflexes. The chain is engineered to hide what moves, not that something moved, which changes who is willing to deploy size. That distinction matters in a market where visible positions get hunted and thin books punish transparency.
The overlooked mechanic is how confidential smart contracts alter liquidity behavior. When position sizes, collateral terms, or settlement conditions aren’t broadcast, counterparties price risk differently. You get tighter spreads for institutions, but less surface-level activity for chart watchers. That’s why Dusk often looks inactive on raw volume metrics while still progressing at the infrastructure layer.
Right now, the market is mispricing that tradeoff. Capital is rotating back toward structures that reduce execution leakage as volatility compresses and leverage becomes selective. You can see it indirectly in lower variance around unlocks and muted reaction to announcements. Dusk’s friction isn’t technical adoption it’s narrative opacity. Traders chasing visibility miss that some liquidity prefers to stay unseen.
I’m tracking $REZ after a short liquidation near $0.00597, showing sellers were forced out during a micro-range reclaim. EP: $0.00585 – $0.00605 TP1: $0.00635 TP2: $0.00685 TP3: $0.00760 SL: $0.00565 If $0.00585 holds, momentum continuation remains the primary setup for $REZ
Sleduji $WIF , po krátké likvidaci kolem 0,37417, což odráží agresivní krátké pozice do základní úrovně. EP: 0,368 – 0,376 TP1: 0,392 TP2: 0,415 TP3: 0,452 SL: 0,358 Trvalá cenová akce nad 0,368 podporuje další rozšíření pro $WIF
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