newsaboutcrypto

Geopolitical developments in the Middle East have once again become a major focus for global financial markets. Reports circulating on social media claim that the United States is considering a significant military response following the deaths of two U.S. service members. Some posts have also referenced inflammatory language allegedly used during internal discussions. At the time of writing, these specific claims remain unverified, and investors should rely on official government statements rather than online speculation.
Even without confirmation, markets often react to uncertainty before facts are fully established. Rising geopolitical risks typically increase demand for safe-haven assets while putting pressure on risk-sensitive markets. Oil prices become the first major indicator to watch, as any disruption to shipping routes or regional energy infrastructure could tighten global supply. Gold and silver also tend to attract investors seeking protection during periods of heightened uncertainty.
For the cryptocurrency market, the impact is less predictable. Bitcoin has increasingly been viewed by some investors as a digital store of value, yet crypto markets have historically experienced sharp volatility during geopolitical crises. Short-term price swings are often driven by liquidity, leverage, and investor sentiment rather than long-term fundamentals.
Traders should also monitor broader macroeconomic developments. A sustained rise in oil prices could increase inflationary pressure, influencing central bank policy and interest rate expectations. Those changes may affect equities, commodities, foreign exchange, and digital assets simultaneously.
Until official information becomes available, disciplined risk management remains the most important strategy. Avoid making trading decisions based solely on unverified reports circulating on social media. Instead, follow confirmed announcements from credible sources and prepare for elevated volatility across global markets.
Whether this situation develops into a broader regional conflict or de-escalates through diplomacy, one thing is certain: geopolitical events will continue to play a critical role in shaping market sentiment over the coming days.
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#NewsAboutCrypto #Market_Update #BREAKING

Prominent angel investor and early Uber backer Jason Calacanis has argued that Bitcoin's biggest challenge is no longer the asset itself, but the growing influence of Strategy (formerly MicroStrategy) and its outspoken co-founder Michael Saylor.
"The challenge for $BTC is that one person is causing chaos ($MSTR ), while retail is more interested in bets on world-changing products (SpaceX, OpenAI, Anthropic)," Calacanis wrote on X.
A major problem
Calacanis has become one of the most vocal critics of Strategy's Bitcoin-centric corporate model. His argument is not that Bitcoin itself is fundamentally flawed, but that Strategy has become so dominant that it distorts the market narrative.
The company has transformed itself into what it calls a "Bitcoin treasury company," financing ever-larger $BTC purchases through repeated equity offerings, convertible debt, and preferred stock issuance. As a result, Strategy has become the world's largest corporate Bitcoin holder, and its stock is widely viewed as a leveraged proxy for Bitcoin.
Strategy increasingly dominates institutional discussions about Bitcoin. Meanwhile, MSTR often attracts speculative capital that might otherwise flow directly into spot BTC or Bitcoin ETFs.
Calacanis has long been skeptical
Calacanis has expressed doubts about Bitcoin for years, despite investing early in numerous technology companies.
In 2022, following the collapse of FTX, he argued that much of the crypto industry had become dominated by speculation and poor governance, calling for stronger regulation while distinguishing between blockchain technology and speculative tokens.
More recently, he has repeatedly criticized Strategy's financing model. During previous market selloffs, he urged investors to "sell MSTR and buy bitcoin directly," describing the company's structure as resembling a "stunning pyramid scheme."
#NewsAboutCrypto #news

Volatile Intraday Trading$BTC
On Thursday, bitcoin failed to maintain an uptrend that had seen it log significant gains in the prior 48 hours. Market data shows the cryptocurrency gradually retreated from the $65,000 threshold it had surpassed following the release of the U.S. producer price index on July 15. The descent initially halted after bitcoin dropped to just over $64,400.
A subsequent push toward $65,000 stalled near $64,900 around 1:30 a.m. EST, triggering a sharp drop to $63,900 before a brief relief rally nudged the price back above $64,000. By 8:44 a.m., bitcoin plunged to a daily low of $63,808, though a swift rebound soon lifted it back past $64,700.
At the time of writing (1:13 p.m. EST), bitcoin was trading at slightly over $64,200, representing a 1% daily loss. This retreat dragged the cryptocurrency’s market capitalization back below the $1.3 trillion mark.
While the release of U.S. inflation data on Tuesday and Wednesday lifted global markets, a lack of subsequent positive headlines and continuing hostilities in the Middle East demonstrated how investors may have moved too quickly to price in an easier policy path, while overlooking the structural changes reshaping financial markets.
According to Ryan Kirkley, co-founder and CEO of Global Settlement, the June consumer price index (CPI) print might have bought the Federal Reserve time but did not end the inflation fight.
“The Fed has been handed time, not an exit. The case for an immediate rate hike has weakened, but the inflation fight is not over. Anyone pricing a straight line from this CPI report to easier policy is ignoring the geopolitical risk already building beneath the data,” Kirkley said.
The Crypto-Macro Liquidity Link
Turning to bitcoin specifically, Kirkley argued the asset’s reaction was predictable, noting it responded as traders dialled back expectations for a near-term rate hike. In his view, “that is not bitcoin separating from traditional finance. It confirms how closely crypto now trades with the macro liquidity cycle.”
When inflation cools and rate expectations fall, financial conditions loosen, prompting investors to increase risk exposure. Crypto often reacts quickly because it trades continuously, carries significant leverage, and allows capital to move in and out without waiting for traditional market hours.
“The same dynamic works in reverse. When yields rise or the dollar strengthens, leveraged positions unwind and crypto falls faster than more defensive assets,” Kirkley said in a statement shared with Bitcoin.com News.
Institutional participation has reinforced this relationship, as digital assets now respond to the same CPI releases, Treasury moves, oil shocks, and central bank signals as equities and currencies. While institutional capital has brought greater legitimacy, it has also tied crypto more closely to the traditional financial cycle.
“ Crypto is no longer operating on a separate set of rules. It trades with global liquidity, and pretending otherwise does not change that,” Kirkley said.
#BTC #bitcoin #NewsAboutCrypto

The launch of the Newton Mainnet Beta marks an important milestone for @NewtonProtocol and its growing community. Mainnet Beta phases are often where blockchain projects demonstrate not only technical performance but also their ability to support developers, users, and ecosystem partners in real-world conditions.
What makes Newton Protocol interesting is its vision of building a stronger foundation for decentralized applications while focusing on scalability, network efficiency, and long-term ecosystem growth. As more developers explore the network, the Mainnet Beta provides an opportunity to test infrastructure, improve user experience, and prepare for wider adoption.
The role of $NEWT within the ecosystem will be important as the network evolves and new applications are introduced. Community participation, developer engagement, and ecosystem expansion could all contribute to the next stage of growth for Newton Protocol.
The blockchain industry continues to move toward faster, more efficient, and more accessible networks, and it will be exciting to watch how @NewtonProtocol positions itself in this competitive landscape. The Newton Mainnet Beta is only the beginning, and the coming months could reveal new opportunities for builders and users across the ecosystem.
#NewsAboutCrypto wt $NEWT

I leaned back from my screen the other day after checking a few dashboards, and something small kept bothering me. I had been looking at transaction history, wallet activity, and token flows, yet I still couldn't explain why a particular action had been allowed while another one had quietly failed. The blockchain showed me what happened. It stayed strangely silent about why it happened. I realized I had been treating execution records as if they were complete records of decision-making, and maybe they never were.
That thought pulled me toward Newton's Policy Explorer. At first I assumed it was mostly a transparency tool, something developers would open to debug authorization logic or compare policies. Useful, certainly, but not especially important from a market perspective. The longer I sat with the idea, though, the less convinced I became. If a Policy Explorer continuously exposes how authorization rules evolve, how often they succeed or fail, and where policies are repeatedly adjusted, it starts looking less like documentation and more like behavioral data.
I'm beginning to wonder whether that behavioral layer is the real asset.
A policy, in simple terms, is just a structured set of conditions that determines whether an action should be allowed. Instead of saying, "This transaction happened," it asks first, "Should this transaction happen under these circumstances?" That difference feels small until systems begin making thousands of these decisions every hour. Suddenly the interesting information isn't only the successful transactions. It's the pattern of approvals, rejections, revisions, exceptions, and repeated evaluations happening before execution even begins.
Risk has always seemed oddly invisible on-chain. We usually notice it only after something breaks. A bridge gets exploited. A wallet is drained. Liquidity disappears. Then everyone studies the transactions that already settled. But a Policy Explorer might create a different habit. Instead of analyzing failures after the fact, people could start observing how authorization behavior changes before incidents become obvious.
That doesn't automatically create valuable intelligence, of course. Data by itself has a habit of pretending to be insight. Crypto has produced enough dashboards proving that activity isn't the same thing as demand. A protocol can generate millions of interactions simply because incentives exist. Remove the incentives and the charts flatten almost overnight. I don't think policy data escapes that problem automatically.
The question becomes whether people return to this information after the rewards disappear.
If developers keep checking policy histories because previous authorization patterns genuinely reduce future uncertainty, then something different starts happening. The records stop acting like temporary analytics and begin behaving more like reusable infrastructure. Every new application no longer starts from zero. It inherits observations from earlier decisions. That feels economically different from simply storing logs.
I also keep thinking about failed policy checks. Normally failure disappears into the background. We celebrate successful execution and ignore everything that never reached the chain. Yet repeated failures might reveal pressure building inside a system long before users notice visible damage. Maybe certain asset types consistently trigger tighter restrictions. Maybe particular authorization paths require constant manual adjustment. Maybe identical requests are accepted under one policy version but rejected under another.
Those aren't transaction metrics anymore. They're signals about institutional behavior.
There's another distinction I didn't appreciate initially. Proof and disclosure aren't the same thing. A system doesn't necessarily need to reveal every private detail behind an authorization decision. Sometimes it only needs to demonstrate that predefined conditions were satisfied. That's where ideas like selective disclosure or zero-knowledge proofs become practical instead of abstract. Selective disclosure simply means revealing only the information required for a decision, nothing extra. Zero-knowledge proofs go one step further by allowing someone to prove a statement is true without exposing the underlying data itself.
If those verification methods become linked with searchable policy histories, the explorer stops being a window into private information. Instead, it becomes a record of verified decision behavior.
That distinction feels surprisingly important.
Markets rarely reward raw transparency forever. They tend to reward reliable interpretation. Price feeds became valuable because traders trusted their consistency. Credit scores matter because they're reusable across different decisions. Reputation systems work, imperfectly, because past behavior influences future interactions. Policy Explorer data could drift into that same category if it becomes something applications repeatedly depend on rather than something people occasionally inspect.
I'm still cautious about that assumption.
Dependency is much harder to earn than participation. Lots of infrastructure attracts curiosity during its launch phase. Very little becomes part of everyday operational thinking. Developers might browse policy histories today simply because they're new. Institutions might experiment because regulation pushes them toward richer authorization models. None of that guarantees lasting demand.
Yet I can't quite ignore another possibility either. If multiple protocols begin referencing earlier policy behavior before creating new authorization rules, then historical policy data quietly becomes part of future decision-making. The explorer would no longer describe the system from the outside. It would start influencing how the system evolves from within.
Maybe that's where the risk intelligence layer actually appears—not because the explorer predicts failures, but because repeated policy behavior gradually teaches networks which kinds of decisions deserve confidence and which ones deserve another question before execution. I'm not certain Newton reaches that point. I'm not even sure every protocol would want that much inherited judgment. But I keep returning to the same uneasy observation.
Perhaps the next competitive advantage isn't seeing more transactions. Perhaps it's understanding the decisions that almost happened, the rules that quietly changed, and the patterns that kept repeating long before anyone thought to call them market intelligence.
#BinanceTurns9 #NewsAboutCrypto #newscrypto #NEO #NEAR🚀🚀🚀

CALENDAR
June CPI Inflation data - TuesdayJune PPI Inflation data - WednesdayJune Retail Sales data - ThursdayJuly Philly Fed Manufacturing Index - ThursdayJuly MI Inflation Expectations data - FridayJuly MI Consumer Sentiment data - Friday~10% of S&P 500 Companies Report Earnings
MAIN NEWS
Oil prices climbed to a one-month high after President Trump reinstated a naval blockade on Iranian ports following a weekend of heavy U.S.-Iran airstrikes, raising supply concerns around the Strait of Hormuz. Brent crude neared $85 a barrel while WTI rose to approximately $79.79, stoking fears of systemic inflation if energy supply disruptions persist.The S&P 500 dropped 0.79% to 7,515.47 and the Nasdaq fell 1.55% to 25,873.18 on Monday, with tech shares posting the steepest sector losses. Energy was the lone bright spot among the S&P 500's 11 sectors, benefiting directly from the oil price surge.Semiconductor shares were hit hard on Monday, with Intel, AMD, and Applied Materials each falling roughly 4%, weighed down by both the oil price spike and a sharp rout in SK Hynix shares. The selloff reflected broader investor concern over rising input costs and a risk-off shift driven by geopolitical instability.Bitcoin is trading at approximately $62,611, up 0.57% on the day, though it remains down 32.9% year-to-date and roughly 52% below its October 2025 peak of $126,080. Bitwise Asset Management frames the extended nine-month downturn as a potential setup for recovery, citing Bitcoin's dominant 64.2% crypto market share and historically strong July seasonality averaging a 10.7% gain.The U.S. dollar traded little changed against major currencies on Tuesday as investors positioned ahead of the June CPI inflation report and Federal Reserve Chair Kevin Warsh's congressional testimony. June CPI is expected to show headline inflation easing to 3.8% year-on-year from 4.2% in May, though the recent reversal in energy prices may complicate the outlook.
#NewsAboutCrypto #MarketSentimentToday #S&P500

The Evolution of Pre-Settlement Security: A Deep Dive into Newton Mainnet BetaAs institutional capital and automated agents aggressively scale their on-chain footprints, Web3 is forced to confront a massive vulnerability: traditional post-execution security is no longer fast enough. Enter @NewtonProtocol , an authorization-before-execution layer built explicitly to transition decentralized ecosystems from passive transaction networks into highly secure, permission-aware environments.
Redefining On-Chain AuthorizationThe recently launched Newton Mainnet Beta completely flips the traditional blockchain model on its head. Instead of allowing a transaction to sign, execute, and settle before assessing potential risks or exploits, the protocol injects a pre-settlement authorization layer. This mechanism evaluates user intent, security compliance, and asset restrictions before a transaction ever reaches final block settlement.VaultKit Integration: Live on both Base and Ethereum, Newton’s new VaultKit framework provides developers with programmable tools to enforce complex on-chain rules directly.Modular Ecosystem Compliance: By pulling risk data from leading verification entities like Chainalysis, Hexagate, and RedStone, operators can seamlessly curate specialized compliance rules for decentralized finance vaults.Verifiable Execution Layer: Running on top of EigenLayer operators, Newton utilizes Zero-Knowledge Proofs (ZKPs) to guarantee that all policy evaluations remain fully private, auditable, and secure from end to end.
The Strategic Utility of $NEWTAt the foundation of this decentralized infrastructure is the utility token, $NEWT. Far from a speculative asset, $NEWT functions as the core economic fuel driving the entire framework. It is specifically used for:Compliance Compute Payments: Users or applications utilize the token to cover computation fees associated with pre-transaction policy checks.Network Operator Staking: Validators and operators stake tokens to ensure honest and verifiable cryptographic validation.Ecosystem Governance: Token holders actively participate in determining platform upgrades, rule registries, and treasury distributions.The shift toward pre-execution safety is a necessary step for enterprise-grade adoption. The Newton Mainnet Beta marks an architectural evolution where on-chain execution moves from "blindly signing keys" to "verifying allowed actions"
#newt #NewsAboutCrypto

The financial market has just welcomed one of the most important economic data releases of the month: the U.S. CPI index was published below expectations. This is seen as a positive signal for risk assets such as stocks and cryptocurrencies.
Notable points
The biggest positive is:
The monthly CPI fell by 0.4%, the first decline in many years, mainly thanks to lower oil prices during a period of easing tensions in the Middle East.

As predicted in my previous post
Bitcoin has seen a corrective move exactly as in the risk scenario that many of the brothers were worried about. However, the important question right now is not “How much has BTC dropped?” but:
Is this the bottom already, or is it only the first leg of a decline before the market completes the process of shaking out weak hands?
1. The cash flow is still leaning toward the selling side
Whales are still net selling.
The average investor has started bottom-fishing.

The decentralized finance (DeFi) ecosystem is witnessing a transformative shift with the official launch of the Newton Mainnet Beta. As the industry moves toward more complex financial structures, the need for a reliable, native authorization layer has become paramount. @NewtonProtocol (https://www.binance.com/en/square/profile/newtonprotocol) is addressing this head-on by introducing an advanced on-chain licensing framework that bridges the gap between traditional regulatory requirements and decentralized execution.
​Why Newton Mainnet Beta is a Game-Changer
Historically, DeFi protocols have relied on post-transaction monitoring, which often leaves users and institutional capital exposed to risks that could have been mitigated beforehand. Newton Protocol changes this paradigm by enabling "pre-transaction inspection." By evaluating transaction intent against customizable, programmable policies—such as sanction lists, KYC verification, and risk threshold checks—Newton ensures that compliance is baked into the transaction itself, rather than added as an afterthought.
​Technology Built for Institutional DeFi
The protocol leverages high-end infrastructure, including RedStone price feeds for accurate, real-time data and privacy-preserving computation through Trusted Execution Environments (TEEs) and Zero-Knowledge Proofs (ZKPs). This architecture allows for verifiable, automated tasks on-chain without compromising user privacy or sacrificing the transparency required by institutional auditors. It creates a robust "compliance-as-code" standard that developers can seamlessly integrate into their own dApps.
​The Utility of $NEWT
The $NEWT token is the functional core of this ecosystem. It serves as the primary asset for governance, but more importantly, it powers the computational engine of the protocol. Users and operators utilize $NEWT to pay for authorization services, stake for network security, and collateralize the model registry. As the Newton ecosystem grows, the demand for $NEWT will likely scale alongside the increasing volume of verified, compliant on-chain activity.
​For developers and investors looking for the next evolution in Web3 security, Newton Protocol offers the foundational architecture needed to build production-ready applications. The future of DeFi is not just about decentralization; it is about secure, compliant, and intelligent automation.
​#NewsAboutCrypto wt $NEWT

The official launch of the Newton Mainnet Beta is bringing a lot of interest to the crypto market. It introduces a powerful on-chain authorization network that focuses on making Web3 environments much safer for users. By verifying specific rules before transactions are finalized, it acts as a reliable protection mechanism against smart contract risks and potential vulnerabilities. This is exactly what the DeFi ecosystem needs right now to build better user trust and protect valuable assets from unauthorized interactions. As decentralized apps continue to scale globally, protocols focused on deep security layers will be essential for real-world utility and mass adoption. It is exciting to watch how this ecosystem develops further.
@NewtonProtocol $NEWT #NewsAboutCrypto wt

I keep thinking about something that feels almost too ordinary to notice. Every time I approve something online, whether it's a payment, a login, or even a software update, the approval disappears the moment it's happens. We rarely care how the decision was made. We only care that it worked. But lately I've started wondering if that assumption has quietly shaped the way we think about DeFi as well.
When I look at Newton Protocol, I don't immediately see another attempt to make transactions faster. At least, I don't think that's the interesting part. What keeps pulling my attention back is the idea that the decision behind a transaction might become just as important as the transaction itself. Maybe even more important over time.
At first I thought policy attestations were simply another way of proving that a rule had been checked before execution. That sounded useful, but not especially different from other verification systems. Then I caught myself simplifying it too much. An attestation isn't really about proving the outcome. It seems more like preserving the reasoning that allowed the outcome to exist in the first place.
That distinction feels small until I imagine DeFi operating under pressure instead of during normal conditions.
Today, trust inside DeFi often comes from visible history. Wallet age. Transaction volume. Liquidation records. Repayment behavior. Audit reports. Reputation builds indirectly because people observe enough activity to form assumptions. None of these things actually explain why a decision was considered acceptable at the moment it happened. They mostly describe what happened afterward.
Maybe that's the gap Newton is trying to explore.
If policy attestations become portable records instead of temporary checks, then trust starts moving away from raw activity and toward decision quality. Not "this wallet traded a thousand times," but "this wallet repeatedly satisfied a consistent set of policies across different environments."
I'm not completely convinced that's automatically better, though.
The more I think about trust scores, the more they begin to resemble compressed stories. They reduce complicated human behavior into numbers that systems can process quickly. Credit scores did something similar. Reputation systems across marketplaces do it too. They're useful because complexity is expensive.
But compression always throws something away.
That's where I start wondering whether policy attestations eventually create another simplified picture of trust rather than trust itself. They might accurately describe compliance with a framework while still missing context that only appears outside the framework.
Although maybe that's true for every trust system we've ever built.
Another part that keeps bothering me is incentives.
Suppose protocols begin accepting policy attestations as signals of reliability. Suddenly there is value attached to producing high-quality attestations, maintaining recognized policies, and protecting the credibility of whoever authored those policies. The market stops rewarding only liquidity providers and validators. It may begin rewarding people who consistently define useful decision rules.
That almost feels like an entirely different economy sitting beside DeFi instead of inside it.
Policy authors become visible.
Auditors become visible.
Organizations that produce reliable authorization logic become visible.
The transaction still happens on-chain, but trust starts accumulating before execution instead of after settlement.
That's an unusual shift.
Then again, trust scores have a habit of becoming targets rather than measurements.
The moment a score influences borrowing rates, collateral requirements, insurance costs, or protocol permissions, people naturally begin optimizing for the score itself. That's not necessarily fraud. It's just how incentives work. Markets rarely optimize for ideals. They optimize for whatever gets rewarded.
So I wonder what happens if policy attestations become valuable enough to farm.
Not fake exactly. Just engineered.
Perfectly compliant behavior designed only to generate stronger trust signals.
We've seen similar patterns with governance participation, staking rewards, transaction mining, and social reputation systems. Once incentives become measurable, behavior quietly reshapes around the measurement.
Maybe Newton already anticipates that. Maybe evolving policies and continuous attestations reduce that risk.
I'm just not sure they remove it.
There's another angle that feels even more interesting.
If policy attestations become reusable across applications, trust itself begins behaving differently. Right now every protocol spends enormous effort rebuilding confidence from scratch. Every platform asks essentially the same question in isolation.
Can I trust this participant?
Imagine if the answer no longer depended entirely on local history but also arrived with portable evidence describing how previous decisions were evaluated elsewhere.
Not identity.
Not reputation in the social sense.
Decision history.
That almost feels like moving trust from application infrastructure into network infrastructure.
It's subtle, but the implications seem larger than they first appear.
Developers might spend less time rebuilding authorization logic.
Institutions might spend less time repeating compliance work.
Users might carry decision credibility without exposing every detail behind it.
Or maybe I'm overstating it.
Because portability creates another problem. Different protocols rarely agree on risk tolerance. A policy considered conservative in one environment might feel dangerously permissive somewhere else. Trust doesn't always transfer cleanly because incentives don't transfer cleanly either.
So perhaps policy attestations never become universal trust scores.
Maybe they become contextual trust layers instead.
That sounds less ambitious, but honestly it also sounds more believable.
The more I think about Newton Protocol, the less I see it trying to replace trust. I think it's asking whether trust can become something that systems exchange before they exchange value. That's a very different question from simply making transactions safer.
Whether DeFi actually behaves that way once incentives, competition, and human shortcuts start interacting with those attestations... I don't think anyone really knows yet. On paper the logic feels surprisingly coherent. In real markets, trust has a habit of changing shape the moment people discover it has economic value.
#NewsAboutCrypto #NEW #newscrypto #NOT

@NewtonProtocol is becoming one of the more interesting infrastructure stories in crypto because Newton Mainnet Beta is focused on a real problem: how to apply policy, risk checks, and programmable permissions before an onchain transaction settles. That matters because DeFi has grown fast, but many systems still rely on reacting after exposure happens. Newton’s approach moves the conversation toward pre-transaction authorization, which feels much closer to what serious onchain finance needs.

What stands out to me is that Newton Mainnet Beta is not just presenting a theory. It is showing how vaults, automation, and institutional-style workflows can use verifiable rules for security, compliance, identity, and risk management directly in live environments. If this model gains adoption, it could help make onchain capital movement more trustworthy, especially for users and builders who want stronger controls without giving up the advantages of blockchain. I’ll be watching how @NewtonProtocol develops this vision and how $NEWT fits into the broader ecosystem as the network matures. #NewsAboutCrypto