XRP is trading at around the $1.06 price level, down more than 4% since yesterday. The setup remains as unstable as it looks. Price is compressing inside a tight range with no clear resolution. Bulls and bears both have a case, and whichever side breaks first could trigger the next meaningful move.

The main near-term narrative remains spot ETF inflows optimism. That expectation has helped support sentiment despite recent price weakness. Meanwhile, price differences across exchanges reflect uneven liquidity rather than a clear market direction.

Speculative forecasts of $5 XRP by late 2025 continue circulating on social media. However, those projections remain opinion, not evidence. For now, traders are paying closer attention to price structure than long-term predictions.

Technically, the key support sits around $1.05. A decisive break below that level could expose the psychological $1.00 area. If buyers continue defending support, the current range may tighten until either ETF developments or a shift in market sentiment forces a breakout.

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Can XRP Price Reclaim $1.20 Before the ETF Decision Lands?

At its current $1.06 price level, XRP is sitting near the lower edge of its recent consolidation range. Recent support around $1.08 to $1.10 has already given way, leaving the near-term structure looking more cautious. Trading volume remains steady rather than explosive, suggesting buyers have not returned with conviction.

The bullish scenario remains straightforward. XRP needs to reclaim $1.10 with strong volume before buyers can target the $1.20 to $1.25 resistance zone. Spot ETF optimism continues supporting sentiment, but traders still need confirmation from price before calling for a sustained breakout.

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The base case still favors consolidation. XRP could continue trading between $1.05 and $1.10 while investors digest macro developments and regulatory headlines. That would leave neither bulls nor bears with a decisive advantage, extending the current period of indecision.

The bearish case begins with a confirmed daily close below $1.05. If that level fails, the next meaningful demand zone sits around $1.00, followed by $0.95 if selling accelerates. Momentum indicators still lack a clear directional signal, making any breakout likely to be sharp once volatility returns.

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Maxi Doge Targets Early Mover Upside as XRP Tests Key Levels

XRP at current levels offers a known asset with a known ceiling. The upside math from $1.06 to even $2.00 is roughly a double, and that requires flawless ETF execution, sustained institutional flows, and cooperative macro. That’s not a bad trade. It’s just not an asymmetric one.

Traders hunting for the kind of outsized return profiles that don’t depend on a $69 billion market cap re-rating tend to look earlier in the cycle. And that’s the structural argument for Maxi Doge ($MAXI), an ERC-20 meme token built around a 240-lb canine mascot and a community culture centered on high-conviction trading.

The project has raised $4.8 million at a current presale price of $0.0002831, with dynamic APY staking already live. The token’s mechanics include holder-only trading competitions with leaderboard rewards, a Maxi Fund treasury managing liquidity and partnerships, and meme-first marketing that’s earned genuine traction in trading communities rather than just ad spend.

The tagline “never skip leg-day, never skip a pump” is stupid in the best possible way, and that’s intentional. For traders sizing a small speculative allocation, research Maxi Doge before the presale window closes.

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The post XRP Price Caught in Volatile Range, With Both Sides Ready For a Violent Coil appeared first on Cryptonews.

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It appears that essentially all relief rallies in the cryptocurrency markets over the past few months have been precisely that, as the firepower is simply not sufficient to provide enough force to change the bearish trend.

The latest such example took place at the beginning of the current business week, as bitcoin was rejected after its push to $65,600 and dropped to a ten-day low of $63,000. Here are some of the potential reasons behind this.

FOMC Uncertainty

Given the timing of this correction, the most obvious first reason appears to be macro, as tomorrow is the next Federal Reserve FOMC meeting. Although the US central bank is widely expected to leave the federal funds rate unchanged at 3.50%-3.75%, this is shaping to be one of the least predictable decisions in recent years.

Markets, experts, and prediction platforms recently assigned roughly a one-in-three chance to a surprise rate increase as policymakers continue to confront persistent inflationary pressures. Although the CPI data for June was a lot lower than expected, the general consensus is that the reading was slightly misleading and perhaps a one-off.

Investors will closely watch and examine Chairman Kevin Warsh’s press conference for clues about the central bank’s approach during the remainder of the year. Bitcoin, altcoins, and other speculative assets tend to struggle when investors are uncertain about the direction of interest rates. Higher borrowing costs and rising real yields make risk-free assets more attractive, and vice versa.

As such, the first reason appears to be investors and traders de-risking before the key economic event.

Broader Market Crash

Bitcoin is not isolated from the other markets, especially those also considered risk-on. As such, whenever there are big moves in those, it tends to follow along (or sometimes lead). The past 24-36 hours have been quite painful for Asian stocks, for example. South Korea’s KOSPI has plummeted by double digits, going down from 6,767 to 6,023.

Japan’s Nikkei 225 has slipped by over 4% within the same timeframe, dipping from 64,800 to 62,365. The situation in the US was not much more positive. Although the actual big indexes remained flat, some of the most prominent names, such as Nvidia and Micron, posted painful losses of up to 5%.

Last but not least was gold. The precious metal peaked at almost $4,120 yesterday, but it was rejected and dumped by just over $100 in hours.

ETF Outflows

We will list this as the third and last major reason because the actual outflow value was not as significant as it used to be during the June crash, for example. Yes, Monday was another day in the red, but the net outflows remained at under $12 million. This is essentially nothing compared to the $100 million+ withdrawals investors made regularly last month.

Nevertheless, it still continued a red streak that began last Thursday when the funds lost $225 million and on Friday when the outflows topped $240 million.

What’s Next?

Ali Martinez warned earlier today that the Bitcoin 3-day Bollinger bands have squeezed tightly, which generally precedes major price moves. The last few months have been quite dull in terms of volatility, and he noted that such periods are “often followed by a major price expansion.”

Ted Pillows believes the next big support for BTC remains at $62,000, which, if broken to the downside, will lead to a very dark future and perhaps another leg down to under $60,000.

On the more positive side, CW added that certain whales are “rapidly recovering their selling volume following the decline,” which could lead to a short-term bounce off. Additionally, the analyst claimed that there are no major sell walls on bitcoin’s path forward if it indeed rebounds soon.

These technical tools will definitely be used to watch, but the most important factor remains tomorrow’s FOMC meeting. BTC is likely to experience some heightened short-term volatility, no matter what the decision is.

The post 3 Reasons Why Bitcoin Crashed to a 10-Day Low Today and What’s Next appeared first on CryptoPotato.

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Ethereum has paused after its recent recovery, with the price action compressing beneath a key resistance area while still holding above higher lows. The current structure suggests that the market is approaching an inflection point where the next breakout or breakdown could determine the short-term direction.

Ethereum Price Analysis: The Daily Chart

On the daily timeframe, ETH remains below the long-term resistance zone between $2K and $2.15K, where the 100-day moving average continues to reinforce selling pressure. Although buyers managed to recover strongly from the June lows, the latest rejection near the 100-day MA highlights that the broader bearish structure has not yet been invalidated.

The recent pullback has brought the asset back into the $1.88K to $1.91K support zone, which now serves as the first line of defense for buyers. Holding above this area could allow another attempt toward the $2K to $2.15K resistance region, while losing it would expose the next demand zone around $1.75K to $1.8K. A deeper correction could eventually extend toward the stronger support around $1.56K to $1.65K.

ETH/USDT 4-Hour Chart

The 4-hour chart shows Ethereum consolidating inside a narrowing range between the white ascending trendline, acting as dynamic support, and the yellow descending trendline overhead. This compression reflects increasing indecision as buyers and sellers battle near the $1.88K to $1.91K supply zone.

As long as the price remains confined between these two trendlines, short-term volatility may stay limited. However, a breakdown below the white ascending trendline would invalidate the series of higher lows and likely trigger a decline toward the $1.75K to $1.8K demand zone. If that support also fails, the next downside target would be the broader demand area around $1.56K to $1.65K.

Conversely, a decisive breakout above the yellow trendline and the nearby supply zone would improve the short-term outlook and increase the probability of another move toward the major daily resistance overhead.

Sentiment Analysis

The Spot Average Order Size metric shows that large spot orders from whale-sized participants have become increasingly active during Ethereum’s recent recovery. Given that ETH is still trading relatively close to its yearly lows, this behavior is more consistent with accumulation than aggressive distribution.

Historically, increased participation from large spot buyers near depressed price levels has often reflected long-term positioning rather than short-term speculation. While this does not guarantee an immediate trend reversal, it suggests that larger market participants are gradually accumulating exposure as Ethereum trades well below its previous cycle highs.

The post ETH Price Analysis: What Does the $2K Rejection Mean for Ethereum’s Future? appeared first on CryptoPotato.

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Silver prices have regained strong upward momentum, climbing toward multi-year highs as investors return to safe-haven assets amid renewed geopolitical tensions. The precious metal recently surged more than 3% to around $58.92 per ounce, reversing an earlier pullback and moving back within striking distance of the key $60 psychological level.

The latest rally has been fueled by escalating tensions between the United States and Iran, while investors are also preparing for fresh US inflation data and comments from Federal Reserve officials. Together, these developments could determine whether silver extends its rally or pauses after one of its strongest advances in recent weeks.

Geopolitical Tensions Lift Silver Back Toward Multi-Year Highs

Silver rallied sharply after reports of renewed instability surrounding the US-Iran conflict increased demand for defensive assets. Spot prices climbed above $59 after briefly falling to around $58 earlier in the week, highlighting how quickly sentiment shifted back in favor of precious metals.

The rebound places silver comfortably above the important $58 to $56 support zone, an area that has become increasingly significant from a technical standpoint. Holding above this range suggests buyers remain active despite heightened volatility across financial markets.

Concerns surrounding the Strait of Hormuz and rising oil prices have also supported precious metals. As geopolitical uncertainty increases, investors often seek assets that can preserve value during periods of market stress, and silver has benefited alongside gold.

Although industrial demand continues to play an important role in silver’s long-term outlook, the latest gains have largely been driven by safe-haven buying. If geopolitical tensions continue to escalate, the metal could make another attempt to break above the recent highs near $61.

CoinCodex Silver Price Prediction

According to the latest CoinCodex Silver price prediction, the precious metal could transition from its current period of strength into a prolonged correction throughout late 2026 and 2027.

The forecast remains relatively constructive in July 2026, with prices projected to fluctuate between $45.84 and $57.67 and average levels near $51.75. While that would represent only a modest decline from current prices, the model suggests downside pressure gradually builds as the year progresses.

Momentum is expected to weaken considerably during the second half of 2026. Average prices are projected to fall into the mid-$40 range in August before declining toward roughly $35 in September. October and November continue that trend, with forecasts pointing to average prices around $32 as bearish momentum strengthens.

The outlook becomes even more cautious during 2027. CoinCodex projects average prices falling below $26 in January before slipping toward the low-$20 range during the spring months. By June and July 2027, the model forecasts average prices between approximately $15 and $17, making it the weakest period of the entire projection.

The post Silver Price Prediction: Can Safe-Haven Demand Push Silver Above $60? appeared first on BeInCrypto.

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Changpeng Zhao (CZ Binance) publicly backed a crypto license passporting system across ASEAN at the ASEAN Tech Summit Manila 2026 on July 28, arguing that firms already licensed in one member state should face only a streamlined approval process, not a full re-application, to operate across the rest of the bloc.

The proposal, if adopted, would materially reduce compliance overhead for crypto and stablecoin service providers targeting Southeast Asia’s fragmented regulatory landscape.

Speaking during the “One ASEAN, One Digital Economy” fireside chat alongside FinTech Alliance PH founding chair Lito Villanueva, CZ endorsed Villanueva’s idea of license portability across the region.

Regulators would retain the right to review applicants entering their jurisdiction, but the threshold would be fundamentally lower than starting from scratch in every market.

“I think that’s mostly a political problem,” Zhao said of cross-border regulatory coordination, adding that the underlying technology posed no meaningful obstacle.

He argued that allowing more licensed platforms to compete regionally would improve services and reduce costs for consumers, a straightforward pro-competition case that sidesteps the harder question of how to get nine politically distinct regulators to agree on mutual recognition standards.

Bitcoin News: Why Regulatory Fragmentation Is a Real Cost for ASEAN Crypto Firms

The problem Zhao is identifying is structural. Southeast Asia currently has no bloc-wide passport for crypto companies – each ASEAN member state runs its own digital asset licensing regime, with separate AML requirements, conduct rules, and capital standards.

A firm seeking a genuine regional presence must run parallel licensing processes across multiple jurisdictions simultaneously, which scales compliance costs in a way that disadvantages smaller, well-regulated operators relative to larger incumbents.

The regulatory framework Zhao described mirrors the EU’s MiCA model directly. Under the Markets in Crypto-Assets Regulation, a crypto-asset service provider authorized in one EU member state can passport its services across all 27 member states by notifying its home regulator of the countries and services involved, no fresh application required.

CZ referenced the MiCA architecture as the functional template for what ASEAN could build, and the comparison is structurally apt even if the political dynamics differ substantially between a treaty-based union and a looser regional grouping.
The ESMA implementation timeline for the Markets in Crypto-Assets Regulation (MiCA).

The argument around Crypto regulation fragmentation being primarily political rather than technical carries weight here. Brad Garlinghouse has made a parallel case in the US context, framing regulatory incoherence as the primary drag on institutional crypto adoption, a problem of legislative will, not technical incapacity.

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ASEAN Already Has Passporting Precedents in Adjacent Markets

The idea is not without regional precedent. The ASEAN Capital Markets Forum’s Collective Investment Schemes Framework, operationalized in Malaysia, Singapore, and Thailand in 2014, with the Philippines joining in 2021, allows a fund authorized in its home jurisdiction to be offered in participating host markets through a streamlined authorization process rather than full reregistration.

The ACMF Pass extends a similar fast-track model to investment advisers across participating jurisdictions.

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These frameworks are narrower than those proposed by Zhao and Villanueva and remain subject to host-market requirements, but they establish that ASEAN regulators have already accepted the logic of mutual recognition in principle. Crypto-specific passporting would require agreement on supervision standards and consumer protection floors that don’t yet exist at the bloc level, but the institutional machinery for building them does.

For traders watching Binance’s regulatory trajectory, the Manila remarks fit a broader pattern of the exchange positioning itself in Asia as its primary licensing growth market. Ripple’s multi-jurisdictional expansion strategy illustrates the same operational reality CZ is addressing: operating at scale across Southeast Asia requires either accepting full licensing overhead in every market or pushing regulators toward a lighter mutual-recognition model.

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The post Inside CZ Binance Plan to Turn ASEAN Into Crypto Federation appeared first on Cryptonews.

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Google is no longer racing OpenAI and Anthropic to the same finish line. Its rivals want AI that improves itself. Google wants AI that understands the real world.

The split is easy to miss, because Google still ships models and still makes money. But its newest release landed 10th on one independent ranking.

What Google Has and Has Not Said About the AI Race

Google released Gemini 3.6 Flash on July 21. The pitch was speed and cost, not raw power.

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The model produces 17% fewer tokens than the version before it, Google’s blog said. Tokens are the small chunks of text an AI writes. Fewer tokens means a cheaper answer.

Power is another matter. One published reading of the Artificial Analysis index placed the model 10th. Every other major lab ranked above it.

Google is not standing still. It has begun its biggest training run yet, for Gemini 4. A larger model, Gemini 3.5 Pro, is still in testing with partners.

Sundar Pichai has pointed to a different prize. He has tied the roadmap to personalized agents rather than leaderboard wins.

Investors are less relaxed. Alphabet shares fell 6% in June after two senior researchers left for rivals.

Inside DeepMind’s Bet on World Models

A world model is AI that learns how physical things behave. Gravity, motion, cause and effect. It predicts what happens next in a room, not the next word in a sentence.

DeepMind’s own website shows the bet. It files Genie 3 and Gemini Robotics under a heading for world models and embodied AI, meaning software that controls machines.

In May the lab extended Project Genie to Street View. It also released SIMA 2, an agent that learns by playing inside virtual 3D worlds.

OpenAI and Anthropic are aiming somewhere else entirely. They want recursive self-improvement, shortened to RSI.

In plain terms, that is AI clever enough to build the next, better AI. Then that one builds the one after it.

Writer Alberto Romero argued on Tuesday that Google left this race on purpose.

“Hassabis is betting on something else: world models. Models that can understand and simulate the real world, not just predict the next token,” Alberto Romero wrote in a recent analysis.

Google has said no such thing. Demis Hassabis, who runs Google DeepMind, has never ruled out RSI in public.

Why a Rival Co-Founder Says DeepMind Is the Outlier

The sharpest outside read came from a rival, months earlier.

Jack Clark co-founded Anthropic. On May 4 he published an essay on where AI is heading.

He gave a 60% chance that AI can run its own research by the end of 2028. He put 2027 at 30%.

Clark then asked which labs are chasing that goal. DeepMind, he wrote, “appears to be the most circumspect of the big three.” Circumspect means cautious.

His evidence came from DeepMind itself. He cited its 2025 paper on AI safety, co-written by co-founder Shane Legg.

Anthropic is far bolder. It reported in a recursive self-improvement study that Claude wrote more than 80% of the code it ships by May 2026.

Before February 2025, that share was near zero.

The firm has documented AI building better AI. On one speed test, its models delivered a 52-fold gain in April, against 2.9-fold a year earlier.

A skilled engineer needs four to eight hours to manage a fourfold gain on the same task.

Why Google Might Not Have Quit the AI Race at All

Two facts cut against the whole idea:

• Google leads the test that comes closest to measuring AI research skill.

MLE-Bench asks a model to build machine-learning systems on its own. A Gemini 3 model scored 64.4% in February. That was the best result at the time. Google put 3.6 Flash at 63.9% in July.

Labs that quit a field rarely top its scoreboard.

• Google is nowhere near absent from the market.

Pichai told investors the Gemini app has 950 million monthly users. Google did skip NVIDIA’s open AI alliance this month. So did OpenAI and Anthropic.

Can Google Afford to Wait?

The case for patience is simple. Search ads pay for everything else, so DeepMind can take its time.

Alphabet’s own filing shows that cushion getting thinner.

Revenue reached $119.8 billion in the June quarter, up 24%, according to results filed July 22. Search alone brought in $63.3 billion.

Then comes the spending. Alphabet poured $44.9 billion into data centers and equipment in three months. That is roughly double a year earlier.

The result was negative free cash flow of $5.86 billion. Free cash flow is what is left after the building bills are paid.

That figure was positive $10.1 billion in March. In December it was positive $24.6 billion.

Alphabet covered the gap by selling $49.6 billion of new shares in June. It borrowed another $20.3 billion.

Long-term debt doubled in six months, from $46.5 billion to $98.2 billion.

A line in the accounts covering shared AI research lost $5.79 billion, up from $3.37 billion. Patience now carries a price tag.

What to Watch Over the Next 30 Days

• Whether Gemini 3.5 Pro ships, and how it ranks
• Whether DeepMind shows world-model results tied to Gemini 4
• Whether Alphabet cash flow turns positive again in September
• Whether Hassabis answers the self-improvement question directly

Gemini 4 is the real test. If world models work where coding agents stall, the slow pace will look smart rather than scared.

The next earnings report will show how long Alphabet can keep paying to find out.

The post Why Google May Have Quietly Left the AI Race to OpenAI and Anthropic appeared first on BeInCrypto.

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Crypto figures are warning that government control over what AI systems can know or discuss could create a dangerous precedent, after Erik Voorhees argued on X on July 28 that states should not decide what forms of intelligence are “safe.”

The post landed in the middle of a fresh debate over how much oversight AI companies should accept, a debate that picked back up after Anthropic laid out its own position on open-weights models.

Erik Voorhees Warns Against State Control of AI Knowledge

Voorhees, a longtime Bitcoin advocate and founder of the ShapeShift crypto exchange, posted his comment after Anthropic published a statement from CEO Dario Amodei pushing back on claims that the AI giant was advocating for the banning of Chinese open-weight models.

Amodei insisted that his company has “never advocated a ban on open-weight models” and argued that such systems can provide value for developers, businesses, and researchers when they do not have dangerous capabilities.

According to the executive, Anthropic’s main concerns involved authoritarian governments developing advanced AI for military or surveillance uses, along with the possibility of misuse in cyberattacks or biological threats. The company said it supports restrictions on access to advanced chips and action against industrial-scale distillation, as well as safety testing for highly capable AI systems.

The Information recently reported that the Trump administration was finalizing a framework for AI companies to voluntarily submit their most advanced models to the government for testing.

But Voorhees was not having it, saying that allowing governments to define acceptable AI knowledge could expand beyond its original purpose. In his post, he walked through a hypothetical progression starting from a seemingly reasonable rule against discussing bioweapons, then dangerous weapons generally, then anything contrary to public health and public safety, then anything that undermines financial solvency, and ending with the banning of unapproved encryption and a requirement that AI not obstruct government orders.

“Civilization must not permit the state to determine what manner of intelligence is ‘safe,’” he wrote, adding that only the United States has the cultural character to resist that outcome over time, and if it fails, then “nowhere will it be preserved.”

Ripple CTO Emeritus David Schwartz replied to Voorhees’ post with “Yes, this. Exactly this,” showing support for the argument. XRP community member Bird also responded, asking, “The moment someone gets to decide what knowledge is ‘safe,’ where does it stop?”

AI Safety Debate Expands Beyond Open Models

The same tension over who gets to police AI showed up earlier this month when Google DeepMind CEO Demis Hassabis proposed a federally backed body to test and certify frontier models before release, an idea that OpenAI’s Sam Altman called “thoughtful” and Microsoft’s Satya Nadella welcomed as a way to keep any model from doing serious harm.

However, Coinbase CEO Brian Armstrong rejected the idea, arguing that a new body would just add another approval process on top of existing regulators. “Why design regulation around a hypothetical problem,” he said, pointing to fraud, tort, and consumer protection laws that already exist as being enough cover for any harm that might be caused by a model.

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