Bitcoin is trading above the $112,000 level, but its momentum is faltering as selling pressure intensifies. Analysts are divided on what comes next, with some calling for another correction and others suggesting that BTC may continue consolidating before any decisive move. The uncertainty highlights the fragile balance between bullish optimism and market caution. Related Reading: Bitmine Adds Another $65.3M In Ethereum – Details Top analyst Darkfost shared insights that bring back a long-running debate: Does Bitcoin’s traditional cycle structure still hold? While opinions vary, one factor remains consistent across cycles—the influence of long-term holders. Dormant BTC, when moved, often unleashes powerful selling pressure, a dynamic still capable of shaking the market. This cycle has already confirmed that pattern. As BTC climbed to its all-time high earlier this year, Coin Days Destroyed (CDD)—a key on-chain metric tracking the movement of older coins—spiked noticeably. Historically, such spikes have aligned with tops and significant corrections, showing that long-term holders continue to play a decisive role in shaping market direction. Value Days Destroyed Signals Potential Relief For Bitcoin According to Darkfost, the Value Days Destroyed (VDD) metric is offering crucial insights into Bitcoin’s current market structure. Much like Coin Days Destroyed (CDD), VDD tracks the movement of older coins, but it adds another layer by weighting this activity according to price. This adjustment introduces the concept of “value destruction,” giving more weight to long-term holders selling when BTC prices are higher, and less when they are lower. As a result, VDD provides a more nuanced picture of the influence older coins exert on the market. Recently, VDD reached a level of 2.4, a threshold historically associated with significant selling pressure. In past cycles, spikes to this range have often marked moments when long-term holders locked in profits, contributing to local tops or sharp corrections. The latest spike aligned with Bitcoin’s push to its all-time high, reflecting the familiar pattern of dormant supply resurfacing at peak prices. However, VDD has since been declining, now approaching levels similar to those seen during prior correction phases. This suggests that the intensity of selling from long-term holders is easing. If this trend continues, the market may find relief from one of its most persistent sources of supply pressure. Ultimately, easing VDD levels could set the stage for renewed upward momentum, but the key factor will be demand. Without strong inflows and renewed conviction from buyers, the reduction in selling pressure alone may not be enough to spark a sustainable rally. Still, the moderation of long-term holder activity is a promising sign that Bitcoin could stabilize and prepare for another attempt higher in the coming weeks. Related Reading: Bitcoin Market Base Turns Neutral-Bearish As Flows Stay Weak Price Action Details: Pushing Above $110K Bitcoin is currently trading at $112,286, showing a slight recovery after weeks of selling pressure that pulled the price down from its recent all-time high near $123,217. The chart reveals that BTC is still consolidating within a corrective structure, testing the mid-range between support and resistance levels. The 50-day moving average (blue line) is trending above the current price, acting as near-term resistance around $115K, while the 100-day moving average (green line) sits close to current levels, providing a short-term pivot point. The 200-day moving average (red line) is much lower at $101K, serving as a deeper structural support if bearish pressure intensifies. Related Reading: Bitcoin And Ethereum Exchange Inflows Overshadow Stablecoin Demand – Details BTC is forming higher lows after its recent dip to the $110K area, signaling that buyers are cautiously stepping back in. However, momentum remains limited, and the chart shows the market has yet to reclaim any major resistance levels. A breakout above $115K would be needed to shift sentiment and open the way toward retesting the $120K–$123K zone. Featured image from Dall-E, chart from TradingView
Whales are losing millions of dollars on the decline of the Trump-linked WLFI token, but most of the pre-sale participants are still holding the coin.
"It is the weirdest company I have ever dealt with," a commodity executive told Financial Times about Tether.
Citizenship and residency via crypto are now possible in countries like Vanuatu, El Salvador and Portugal, with investment requirements ranging from $100,000 to $1 million.
Discover the top Ether holders in 2025, from staking contracts and ETF giants to public companies and early whales.
A 24/7 trading cycle would create new opportunities and risks for traditional financial markets that do not operate on nights and weekends.
Bitwise's move to register an Avalanche ETF could diversify crypto investment options, potentially increasing institutional interest in AVAX.
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AI agents are simple to describe and complex to serve: observe → decide → act → learn. Each loop depends on fresh, reliable, permissionless data. In Web2, you can rent this from a few platforms. In Web3, data lives across dozens of heterogeneous chains, node stacks, indexers, and off-chain oracles – each with its own quirks of latency, finality, semantics, and failure modes. The result: agents are hungry; the pantry is chaotic. Let’s understand the problem, public signals, and outline what an AI-ready data layer must look like to unlock the agentic economy for DeFi and beyond. AI is rapidly penetrating Web3, but the bottleneck remains data. Prominent builders are increasingly agreeing that AI and crypto are complementary: AI brings generative capability and autonomy, while crypto brings ownership, provenance, and open markets for compute and data. Chris Dixon has argued that AI systems need blockchain-enabled computing to reopen the internet and align incentives for data and model access. Vitalik Buterin categorizes crypto×AI touchpoints: AI as interface, player, target of economic guarantees and stresses careful incentive design, i.e., you can’t bolt AI onto adversarial markets without thinking through data quality and safety. On the execution side, DeFi itself is moving towards intent-based designs (i.e., you state an outcome; solvers compete to fulfil it), precisely because raw, on-chain data flows are hostile to good UX under latency and MEV. Uniswap Labs and Across proposed ERC-7683 , a cross-chain intents standard, as a shared rail for this pattern. Takeaway: agents are arriving; markets are adapting; data remains the constraint. The Ugly Truth: What AI developers in Web3 run into Heterogeneity. Every chain has its own RPC behaviour, logs, event schemas, reorg patterns, and finality assumptions. Basic queries (e.g., “positions across Base+Solana+Polygon”) turn into N bespoke indexers. Staleness vs. cost. You can get cheap, slow data, or fast, expensive data (custom stream indexers, managed mirrors). Choosing both is nontrivial. Semantics. Blocks are facts; insights are models. Converting logs into entities (pools, positions, P&L) involves constant ETL and re-computation, per protocol and per chain. Reliability under load. Network congestion and oracle lag create precisely the tail risks that autonomous agents are least able to mask. Indexing providers and docs agree on the fundamentals: direct chain queries are complex and slow; you need subgraphs or equivalent mirrors for performance, then you still must solve cross-chain streaming and schema normalization. “Actionable data” defined and why Web3 is short of it Call data is actionable when an agent can decide and execute within a bounded jitter budget while preserving correctness. Concretely: Normalized semantics: tokens, pools, positions, transfers, prices with consistent types/units across chains. Freshness & determinism: p95/p99 latency SLOs, plus finality-aware freshness (soft vs. brutal finality). Verifiability: cryptographic provenance or replayable derivation (subgraph versions, mirror checksums). Compute-near-data: scoring, anomaly detection, route simulation, co-located with the streams. Streaming + time-travel: append-only event streams plus indexed snapshots for “what changed?” queries. Today’s Web3 stack gives you fragments of this (subgraphs, RPCs, analytics APIs), but not the cohesive, cross-chain, low-latency fabric that production agents demand. Even The Graph’s own materials and third-party guides frame direct chain access as complex, pushing developers to indexing/mirroring systems for practicality. Lessons from real incidents: when latency and fragmentation bite Here are a few recent AI×Web3 products that have closed, been shelved, or effectively ceased operating : Planet Mojo’s “WWA” platform for AI gaming agents: shut down on July 1, 2025 alongside the studio’s flagship game Mojo Melee, citing shifting market realities. Brian (AI → onchain transaction builder) : a Web3 “text-to-transaction” assistant that started at ETHPrague 2023; the team announced termination of operations on May 26, 2025 after losing first-mover advantage as agentic executors proliferated. TradeAI / Stakx (AI-trading schemes using NFTs & “algos”) : took in hundreds of millions, then froze withdrawals and stopped operating; now the subject of a U.S. class-action lawsuit alleging unregistered securities and misrepresentations. (A clear cautionary tale of “AI” claims in crypto.) BitAI (“hands-free” AI crypto autotrader) : went offline in March 2024 after promising AI automated profits; Regulatory halts intersecting AI & Web3: While not a permanent failure, Worldcoin (World Network) saw operations temporarily suspended in Indonesia in May 2025, illustrating how compliance risk can abruptly derail AI-adjacent Web3 rollouts. Patterns we observed Latency + data fragmentation kills agents in production. Teams that promised “natural-language to onchain” often struggled with multichain freshness/finality and brittle indexing, leading to misses or costly infra band-aids. Hype-to-ROI gap: Analyst firms expect a high cancellation rate for “agentic AI” projects over the next couple of years-costs, unclear value, and risk controls are the common failure modes. “AI trading” claims = red flag category. Regulators and watchdogs repeatedly flag “proprietary AI bot” pitches as high-risk; many go dark or morph after a marketing blitz. “Data fragmentation is the biggest barrier for AI agents in Web3: too many chains, schemas, and brittle APIs force agents to choose between stale signals or endless stitching. Latency, freshness gaps, and complex on-chain execution turn good strategies into missed trades, while inconsistent formats cause grounding errors, model drift, and brittle behavior. The solution is a unified, real-time semantic data layer with normalized schemas, streaming indexers, canonical events, and deterministic fallbacks, so agents focus on strategy, not plumbing. At Elsa, we’re building this agentic layer with cross-chain liquidity, data endpoints, and real-time RAG (WIP), turning fragmented chaos into reliable autonomous execution.” –Dhawal Shah, Founder and CEO at HeyElsa Patterns that work: solutions around today’s incapabilities Intent rails, not raw calls. Shift from “do X at address Y” to “achieve outcome Z,” then let solvers compete, hedging MEV/latency at the meta-layer Finality-aware freshness. Expose “freshness + confidence” to agents (e.g., soft finality at N confirmations vs. brutal finality after epoch), so policies can adapt. Compute-to-data. Move scoring/simulation to the stream edge to avoid fan-out latency. Proofs & fallbacks. Two independent sources for critical signals (e.g., price) plus explainable derivations to help agents learn from misses. Human-in-the-loop gates. For high-impact actions, require explicit sign-off or bounded policy budgets. NewsBTC analyzed major intent rails and indexing providers, and gathered insights on today’s challenges from a recently launched AI×Web3 product. “AI agents don’t fail on logic, they fail on inputs. Blockchains emit raw, inconsistent log fragments without context. Until we have a neutral layer that normalises and verifies this data in real time, agents in Web3 are operating blind. The challenge isn’t building more intelligent AI. It’s giving them clean, reliable signals to act on.” –Nasim Akthar, CTO at Igris.bot What an AI-ready data layer should look like – spec, not hype Think of it as Programmable, Verifiable, Real-Time, Cross-Chain: Ingestion & normalization: Multi-chain connectors → canonical schemas (tokens, pools, positions, prices, routes) with explicit units and decimals. Streaming + snapshots: Kafka-like streams for events; OLAP snapshots for time-travel and joins. Mirrors with provenance: Deterministic mirrors of subgraphs or equivalent, with versioned transforms and integrity checks so agents can reason about data lineage. On-stream compute: Built-ins for volatility, liquidity depth, route simulation, slippage/risk scores co-located with streams to meet p95 targets. Finality-aware freshness API: Every read returns : freshness_ms, confirmations, finality_level so policies can gate actions. Intent hooks: First-class bindings to intent rails (CoW, 7683, Across) so “decide → act” is one call, with simulation receipts, Safety & audit: Rate limits, kill-switches, replay logs, and post-trade proofs for continuous learning. Future of AI × Web3: markets of agents, paying for provable data With the right data layer, the frontier expands: Agent MM & risk: autonomous market-making that prices data freshness & finality into quotes. Governance copilots: agents that read proposals, simulate outcomes, and stake opinions with cryptographic attestations. Cross-chain portfolio policies: “End with 2 ETH on Base if weekly variance > X,” routed by intent rails under bounded latency. Data markets for models: provenance-aware datasets and inference services with on-chain payment & usage proofs Safety layers: Vitalik’s caution stands – interfaces and policies must be designed to mitigate scams and misalignment. Build rails that bias toward correctness, not just speed. Closing: architecture is destiny If agents are the next user layer, your architecture becomes your product. Teams that continually patch RPC calls and cron ETLs will struggle to keep up with multi-chain, real-time, adversarial markets. Teams that stand up an AI-ready data layer – normalised, mirrored, computable, finality-aware, and wired to intent rails, will ship agents that observe, decide, act, and learn at production speed. Give agents the data fabric they deserve. They’re hungry, and the market won’t wait.
Ether’s exchange flux metric turned negative for the first time in history, signaling a shift in investor behavior and Ether’s potential to resume its uptrend.
Spot Bitcoin and Ethereum ETFs posted significant outflows of nearly $400 million on Sept. 4, extending the asset class’s week of uneven performance. According to SoSoValue data, Bitcoin ETFs reversed a two-day streak of inflows and closed with $227 million in net outflows. Investor pullback was most evident across flagship products, as Fidelity’s FBTC saw […]
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The following article is adapted from The Block’s newsletter, The Daily, which comes out on weekday afternoons.
XRP has taken the lead in crypto sentiment, surpassing both Bitcoin and Ethereum in the latest report shared by Paul Barron. The report, which tracks 56 major crypto assets, placed XRP at the top with a sentiment score of 86 out of 100. Its overall composite score reached 87, ahead of Bitcoin and Ethereum, both …
The debate over whether XRP could surpass Bitcoin has gained intensity in this cycle, and many analysts and commentators have weighed in on the possibility. A recent video posted on X by crypto analyst and commentator CryptoSensei touched on this discussion, where he made the bold claim that developments in interoperability, regulation, and tokenized real-world assets could eventually put XRP ahead of Bitcoin. The Pundit’s Claim: XRP In Front Of Bitcoin Although Bitcoin is currently the largest cryptocurrency, XRP’s positioning this cycle has increased discussions of a shift in dominance. Interestingly, XRP has overtaken many cryptocurrencies in the past few months and is now on the heels of Ethereum in terms of market cap. Related Reading: Real Vision CEO Raoul Pal Calls ‘Full Port’ Into XRP, Ethereum In his video, CryptoSensei focused on the broader trajectory of blockchain adoption over the next decade, which is going to include the integration of real-world assets like stocks, bonds, derivatives, and real estate into digital systems. He noted that only a small fraction of these markets are currently on-chain, and he predicted that this figure will perhaps rise just five to ten percent in the next ten years. The pace of this growth will be determined by global regulatory cooperation, where working groups from the G7 and G20 align laws to allow value to move seamlessly across borders. Interoperability of blockchains would be essential in this process. As such, CryptoSensei highlighted the role of companies like Chainlink, Ripple, and others that are connecting real-world assets to blockchain platforms, and he specifically called out XRP as having the potential to rise to the top. “Obviously, we would love to see XRP number one in front of Bitcoin,” he said, adding that the combination of regulation, interoperability, and tokenization could make this outcome possible. The Altcoin To Surpass Bitcoin? Ripple and its cryptocurrency XRP have long been recognized for their strong ties with banks, payment providers, and financial institutions worldwide. According to Ripple, XRP was designed with a focus on real-world utility in cross-border payments and settlement. Related Reading: XRP Price Holds Macro Consolidation Zone, Wave 3 Surge Could Send Price To $5 This institutional integration distinguishes XRP from Bitcoin, and many analysts have argued adoption by financial institutions is the only way XRP can beat Bitcoin to become the number one cryptocurrency. Crypto analyst BarriC suggested that the adoption of XRP by institutions could see its price settle well above $1,000. Another important factor that might cause XRP to overtake Bitcoin lies in the growing use of the XRP Ledger for tokenization. Real-World Asset (RWA) tokenization has grown massively in the past few weeks on the XRP Ledger, with the network growing as the platform for creating and managing tokenized assets. Tokenization of real-world assets is viewed by many as one of the largest growth opportunities for blockchain technology, with trillions of dollars in value expected to migrate on-chain in the next few decades. This will undoubtedly bode well for the XRP price if the XRP Ledger can capitalize well on the tokenization trend. Featured image from iStock, chart from Tradingview.com
Bitcoin (BTC) recorded a higher volatility on Friday, September 5. The flagship coin led the wider crypto market in higher volatility after the Bureau of Labor Statistics released key data on employment. According to market data from TradingView, the BTC/USD pair surged during the late London session and reached its range peak of about $113k …
The spot bitcoin ETFs saw $284 millions of inflows over the same period, signaling a stark divergence in investor sentiment.
A surge in staking demand has flipped Ethereum’s validator queues, easing fears of a mass sell-off and reinforcing confidence in long-term ETH staking.
Resistance has formed at the $2.38 level with support in the $2.23-$2.24 range.
Weak job numbers heighten recession fears, potentially leading to cautious Fed rate cuts and increased market volatility across sectors.
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Hyperliquid is preparing a governance-driven launch of its native stablecoin, USDH, in its next network upgrade, according to a Sept. 5 update on the DEX Discord channel. The protocol described USDH as a “Hyperliquid-first and compliant” dollar-pegged asset, but unlike conventional launches, it is opening the process to competition among development teams. According to the […]
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The investor, who originally acquired 1 million ETH during the 2014 ICO for $310,000, still holds 105,000 ETH valued at $451 million in two wallets.
The 684.4 million Cronos tokens that the Trump-backed company bought are worth about $178 million at current prices.
Stellar's explosive volume spikes and resistance breakthrough signal heightened volatility amid growing institutional interest.
Chainlink's native token encountered persistent bearish pressure as BTC, ETH and the broader crypto market consolidated, CoinDesk Research's model shows.
Soft U.S. jobs numbers released Friday cemented the case for an imminent Fed rate cut and provided what turned out to be only a brief jolt higher to crypto markets.
The agencies also floated new policies intended to accelerate the creation of prediction markets, perpetuals markets, and related DeFi protocols in the United States.
Institutional accumulation absorbs selling pressure as ETF speculation and Fed signals drive market sentiment.
Wyoming picks Hedera for state-backed FRNT stablecoin as token crashes in final trading session.
Sun's actions highlight the tension between investor rights and project governance, potentially impacting trust in decentralized finance.
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Ethereum has entered a consolidation phase after losing the $4,500 level, now trading within a tight range above $4,250. The recent pullback has increased uncertainty across the market, with investors weighing whether ETH will break lower or gather enough momentum to attempt another rally. Despite this volatility, Ethereum continues to demonstrate strong underlying fundamentals, supported by consistent whale and institutional accumulation. Related Reading: Bitmine Adds Another $65.3M In Ethereum – Details According to top analyst Darkfost, whale activity on Ethereum remains elevated, with significant outflows recorded from Binance in recent sessions. These withdrawals highlight an important trend: whales are not selling but rather moving their ETH into decentralized finance ecosystems. In fact, several notable transactions were detected this morning, with large holders transferring ETH from Binance to Aave, deploying it for yield opportunities. This ongoing accumulation and redeployment reflect a growing conviction among whales that Ethereum remains one of the most attractive assets in the market. By leveraging ETH in DeFi rather than offloading it, large players are signaling long-term confidence in Ethereum’s value. As the bullish trend quietly unfolds behind the scenes, the market’s consolidation may ultimately serve as a foundation for Ethereum’s next major move. Whale Outflows Underscore Ethereum Strength Ethereum whales have once again demonstrated their conviction with a series of large outflows from Binance. Within just a few minutes, three massive transactions were recorded: the first totaling roughly 23,000 ETH, the second a much larger 64,000 ETH, and the final outflow an extraordinary 83,000 ETH. Altogether, these movements represent nearly $750 million worth of Ethereum withdrawn from the exchange in a single burst of activity. These outflows have had a measurable impact on Binance’s reserves. With this wave of withdrawals, the amount of ETH held on the exchange has fallen to 4.2 million ETH, highlighting a continued decline in centralized exchange balances. Historically, declining reserves have been viewed as a sign of strong demand, as coins are moved off exchanges and into long-term storage or deployed into decentralized finance platforms like Aave for yield. The conviction displayed by whales in this instance sends a powerful signal to the market. Rather than reacting to short-term volatility, these large holders are positioning themselves for the long term, underscoring Ethereum’s resilience even during consolidation phases. This activity also explains why ETH has been outperforming Bitcoin recently—whale demand continues to funnel into Ethereum while Bitcoin faces more muted accumulation trends. The strength of these outflows reflects the growing institutional and whale appetite for Ethereum. With reserves shrinking and demand proving consistent, the market may be setting the stage for Ethereum’s next breakout once broader conditions align. Related Reading: Bitcoin Market Base Turns Neutral-Bearish As Flows Stay Weak Testing Key Supports Amid Sideways Action Ethereum (ETH) is currently trading around $4,381, consolidating after a volatile period that has kept price action capped below the $4,500 resistance zone. The chart shows ETH respecting the $4,300 area, with the 200-period SMA (red line) acting as a key structural support. As long as this level holds, Ethereum avoids a deeper correction. Shorter moving averages provide insight into momentum. The 50 SMA (blue line) is converging with the 100 SMA (green line), reflecting sideways market conditions and a lack of clear direction. ETH has repeatedly tested the $4,450–$4,500 resistance zone over the past two weeks but has failed to close decisively above it, highlighting seller pressure. Related Reading: BNB Chain Surpasses 650M Unique Addresses – Binance Adoption Continues For bulls, reclaiming $4,500 would be a critical step to reestablish momentum toward $4,700 and $5,000. On the downside, losing $4,300 could expose ETH to a retest of $4,200, with further weakness potentially dragging the price closer to $4,000. Featured image from Dall-E, chart from TradingView
Bitcoin price strength disappears despite nonfarm payrolls data cementing Fed rate cut bets, and bulls are nowhere to be seen.