Ethereum Price Levels Signal Massive Liquidation Risk: $1.022B in Long Liquidations Below $2,800 and $843M in Short Liquidations Above $3,000 on Major CEXs
Former Alameda Research CEO Caroline Ellison has been moved from Danbury FCI to community confinement after serving 11 months of her two‑year sentence, a shift the Bureau of Prisons confirmed without disclosing her location. Ellison Moved to Halfway House Caroline Ellison, the former CEO of the defunct venture capital firm Alameda Research and key witness
Michael Saylor tossed a compact bit of Bitcoin game theory onto X on Tuesday and it set off the predictable kind of fight: technical details colliding with ideology. “The Bitcoin Quantum Leap: Quantum computing won’t break Bitcoin—it will harden it,” Saylor wrote , adding: “The network upgrades, active coins migrate, lost coins stay frozen. Security goes up. Supply comes down. Bitcoin grows stronger.” Short version: if quantum ever becomes real enough to threaten today’s signature schemes , Bitcoin can upgrade. Coins that are actively managed move to new, quantum-resistant output types. Coins that aren’t—because the keys are lost, the owner is gone, or the UTXOs are simply abandoned—should effectively get stuck.Frozen. Bitcoin Developers And Community React That’s the part people latched onto, because it’s not just a technical question. It’s a social one. Who gets to decide which coins are “lost” versus “just old”? Jameson Lopp, one of the loudest voices pushing for practical quantum-readiness, basically said : yes, and welcome aboard. “I agree, lost coins should stay frozen. Glad to hear you’ll support my BIP!” Then the counterpunch arrived fast. “We have no right to freeze another man’s bitcoin,” wrote Wicked (@w_s_bitcoin), arguing any attempt to lock legacy coins could spark a contentious chain split. He also floated a more narrative-friendly twist: what if Satoshi left early keys exposed as a “bounty” for quantum computers? Lopp’s answer wasn’t sentimental. It was node-level realism. “On the flip side, every node runner has the right to refuse to accept coins they believe are most likely to have been stolen by a quantum attacker,” he wrote, framing it less as confiscation and more as a defensive filter to preserve the integrity of circulating supply. Later, he conceded the uncomfortable core: “Correct, the best you can do is come up with an extremely lengthy migration window.” That “migration window” is doing a lot of work here. The draft proposal described by Lopp and co-authors (Christian Papathanasiou, Ian Smith, Joe Ross, Steve Vaile, Pierre-Luc Dallaire-Demers) sketches a three-phase path: first a soft fork that nudges (or forces) new sends into proposed quantum-resistant outputs, then a later rule change that makes legacy ECDSA/Schnorr spends invalid after a long deadline, and an optional third phase to recover unmigrated coins if the rightful owner can prove control through some new mechanism. It sounds orderly on paper. It never is in practice. Because you can’t prove theft in Bitcoin’s older UTXOs. Wicked hammered that point: there’s “no way to prove whether older coins were stolen or just forgotten and then moved later by the rightful owner.” The fear, in his view, is basically supply paranoia dressed up as security. Lopp didn’t deny the incentives. He leaned into them. “I can assure you that many entities in the industry care about supply shocks causing the value of their coins to plummet; businesses still use dollars as their unit of account.” And then, in a line that reads like a homework assignment for anyone who thinks this ends cleanly: “Your homework is to figure out the power dynamics…” Outside the Bitcoin-only trench fight, other corners of crypto mostly reacted with a raised eyebrow. Nic Carter, a founding partner at Castle Island Ventures, demanded specifics: “Explain in detail how all of those things will happen Which core devs has microstrategy funded to work on the multiple hard and soft forks that will be required for this plan? Which quantum researchers?” BitMEX Research pushed back on the “hardfork” framing. “What makes you think we need a hardfork?” it asked, arguing the transition could be painful without literally being a hard fork. Another account summed up the mood: “You can freeze coins with a soft fork.” Then again—soft fork or not—getting broad social consensus to lock unmoved coins is its own nightmare. “The idea that there would be social consensus over locking unmoved coins is crazy,” one user wrote. “In 1,000 realities that doesn’t happen once.” And, quietly, a reminder from Willem Schroe (Botanix CEO): “Yes, there are quantum developments but nothing remotely close to a breakthrough. That said, our current cryptographic solutions are not even remotely close to ready or battletested so quantum resistance work is definitely worth it. Very small risk but would have a big impact.” So overall, none of this is about quantum tomorrow . It’s about Bitcoin deciding what it is when faced with a threat that can’t be patched with vibes. The tech path is hard. The politics might be harder. At press time, Bitcoin traded at $86,761.
While the market remains in the shadow of investors who missed out on Dogecoin’s meteoric rise, focus is shifting to a new wave of blockchain projects with a balance of genuine utility in the DeFi crypto space and swift adoption. A new crypto coin called Mutuum Finance (MUTM) with a price of a mere $0.035 has quickly escalated in its presale, with over 18,500 unique holders and cumulative sales over $19.5 million in total, with Phase 6 nearing a complete sale before an expected price jump. The project’s radically transparent presale format with qualitative milestones such as a V1 protocol launch on the Sepolia TestNet in sight has amply excited investors. Given Dogecoin’s recent community-led explosion into prominence, a new wave of fascinating performances in the crypto space can be expected in support of the DeFi crypto coin with a potent future. Dogecoin Tests Crucial Weekly Support While Traders Look for a Relief Rally Dogecoin (DOGE) is currently operating very close to a major support level on a weekly chart at $0.135, which has previously seen very strong demand and a marked rebound. Although it is being constrained below a strong downtrend line, the speed of the bearish pressure has started to slow, with reduced volumes indicating a possible exhaustion of bears in this critical area. Once this support level is maintained, a relief rebound towards $0.18-$0.20 can be expected, with a stronger resistance level existing higher up at $0.30. But a strong break below this support level will nullify this trading scenario and provoke a stronger downtrend for this token. Moments such as these, when old coins are at a critical point in their evolution, tend to make investors focus on new crypto projects which are in a nascent stage of development, thus paving the way for attention to be drawn towards Mutuum Finance (MUTM), a rising DeFi crypto. MUTM Presale Approaches Full Subscription Mutuum Finance (MUTM) is quickly carving a niche in being a leading project of 2025 in the realm of DeFi crypto. Presale stage 6 is soon to reach full capacity with over 18,500 participants contributing in excess of $19.5 million. The tokens can be bought for $0.035, which is undoubtedly one of the last chances before presale stage 7, which will see an increase of 20% in price to $0.04. The fact that the presale performance is so strong reinforces the attractiveness of MUTM as the new crypto with good prospects for growth as well as usability in DeFi. As compared to most other altcoins, which basically revolve around trade, Mutuum Finance focuses on real-world usability. Its focus on ensuring a transparent system with a lending structure in addition to utility token economics classifies MUTM as a DeFi crypto with bright prospects. Effective Collateral Management and Risk Protection Mutuum Finance operates rigorous safety systems to protect both the protocol and clients. Collateralization targets are set and a lending and deposit cap is put in place to achieve this. To maintain systemic soundness, a liquidation of under-collateralized positions is conducted with enforcement of penalties and liquidation guarantees. Collateral efficiency can thus be achieved by ensuring proper LTV ratio management, with a focus on heavily collateralized lending. Reserve provisioning is also used to hedge against abnormal market situations by distributing excess reserves to assets with high volatilities in order to smooth out any volatility that may arise. Such practices work to improve the safety, stability, and efficiency of the Mutuum Finance platform. The Next DeFi Crypto Wave Missed out on Dogecoin? Here’s your chance with Mutuum Finance (MUTM). Phase 6 of the presale is nearly at capacity with over 18,500 holders and $19.5 million in total raised with a price of $0.035, which will jump to $0.04 in Phase 7. With a dual lending model, excellent risk management, and a V1 Sepolia TestNet launch imminent, MUTM is a utility-oriented DeFi crypto asset with massive nascent growth potential. Lock in your spot today and join the next crop of market leaders in new crypto. For more information about Mutuum Finance (MUTM) visit the links below: Website: https://mutuum.com/ Linktree: https://linktr.ee/mutuumfinance
Bitcoin slipped overnight, dragging the broader crypto market lower as traders remained cautious with few external cues to provide direction.
BitcoinWorld Monad (MON) Staking Now Live on Bybit On-Chain Earn DUBAI, UAE , Dec. 17, 2025 /PRNewswire/ — Bybit , the world’s second-largest cryptocurrency exchange by trading volume, is pleased to announce that Bybit On-Chain Earn now supports Monad (MON) staking , effective December 11, 2025. This integration enables users to participate in on-chain MON staking with competitive APR rates all within the Bybit app. Monad is a high-performance Layer 1 blockchain engineered for speed without sacrificing security or decentralization, all while maintaining full compatibility with the existing Ethereum ecosystem. MON serves as the network’s native token, facilitating gas fee payments, securing the chain through staking mechanisms, and aligning validators, developers, and users around protocol growth. To access potential APR opportunities, eligible Bybit users may simply log in to their Bybit account and stake MON on Bybit On-Chain Earn , which currently offers one of the highest dynamic APRs within the product. MON Staking on Bybit: Competitive Returns: Participants can access enhanced APR through on-chain staking infrastructure. Streamlined On-Chain Staking: Bybit handles the technical complexities of on-chain staking, providing a simplified user experience. Supporting the Network: Staking participants contribute to blockchain security while earning rewards. Flexibility: Bybit Earn offers flexible staking and redemption options that support blockchain decentralization. Once successfully enrolled, staking rewards begin accruing approximately 5.5 hours after on-chain transaction confirmation. MON earnings compound automatically and are distributed upon redemption. Interest accrual ceases once a redemption request is submitted. Monad has demonstrated strong momentum in recent weeks, with the blockchain’s integration of major infrastructure providers strengthening its ecosystem. As MON prices stabilize, Monad has implemented technical upgrades focused on security and performance, including encryption protocols and enhanced RPC methods for instant transaction confirmations. Terms and conditions apply. For details on qualification rules and eligibility, users may visit: Bybit On-Chain Earn: Monad (MON) Now Supported! #Bybit / #CryptoArk / #IMakeIt About Bybit Bybit is the world’s second-largest cryptocurrency exchange by trading volume, serving a global community of over 70 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com . For more details about Bybit, please visit Bybit Press For media inquiries, please contact: media@bybit.com For updates, please follow: Bybit’s Communities and Social Media Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube This post Monad (MON) Staking Now Live on Bybit On-Chain Earn first appeared on BitcoinWorld .
Miami, USA, Florida, December 17th, 2025, Chainwire Fhenix has released Fhenix402, a one-day experimental build that marks the first-ever private version of Base’s emerging x402 payment protocol. Built using Fhenix’s CoFHE technology, the prototype demonstrates how fully encrypted transactions can make onchain micropayments private, composable, and usable — without revealing amounts to observers or block explorers. These two announcements together highlight a turning point for Web3 privacy infrastructure: the need for a universally accepted taxonomy and the emergence of practical, real-world applications built on advanced cryptography. Why Privacy Standards Matter Now As Ethereum scaling matures and transaction costs fall, the industry’s bottleneck has shifted from throughput to privacy. Enterprises across payments, healthcare, AI, and finance require encrypted computation and confidential settlement — yet the ecosystem still lacks a clear way to assess competing solutions. Borrowing from the impact of rollup stages on Layer-2 development, Fhenix’s Privacy Stages framework introduces a shared vocabulary and testable methodology to answer one core question: Who can decrypt your data? “Progress accelerates when we share benchmarks,” said Guy Zyskind, MIT PhD in Cryptography and Founder of Fhenix. “Privacy Stages give developers, enterprises, and regulators the first objective way to evaluate blockchain privacy — and a roadmap to achieve true global confidentiality.” The Four Privacy Stages The framework categorizes privacy systems according to their cryptographic guarantees and real-world resilience: Stage 0 — TEE-Only (“Trust the Box”) Fast, but privacy collapses if the enclave is compromised. Stage 1 — Pure Cryptography With Training Wheels FHE/MPC improves security, but trust assumptions remain fragile without decentralized operators or additional safeguards. Stage 2 — Blocking Quorum + Defense-in-Depth The practical gold standard: distributed key generation, independent operators, optional TEEs, permissionless participation, and economic incentives. Breaking privacy requires either a major cryptographic failure or massive collusion. Stage ℵ (Aleph) — Indistinguishable Obfuscation A theoretical end-state where programs themselves become vaults. Not yet practical, but a north star for the industry. This classification provides measurable criteria for builders, investors, and enterprises evaluating privacy tech — a step toward aligning ecosystem development and raising the bar for security. Fhenix402: A Private Version of x402 Built in Just One Day To test the boundaries of its CoFHE technology and FHERC20 token standard, Fhenix’s engineering team built Fhenix402 — a private version of Base’s emerging x402 micropayment protocol. x402 introduces a long-awaited web primitive: HTTP 402 “Payment Required” as a real, universal micropayment layer. But in its current form, every payment is public. Using CoFHE, Fhenix added privacy. In just one day, the team deployed Fhenix402 on Base Sepolia, demonstrating payments where no one — not users, not block explorers — can see the real transaction amounts. Only encrypted values appear onchain, while wallets show directional updates without revealing specifics. Two real transactions ($0.10 and $4.02) appear identical on Base Sepolia — indistinguishable to observers. “You can’t tell which is which — and that’s exactly the point,” said Zyskind. “We built something that wasn’t supposed to be possible yet: private payments that are fast, composable, and intuitive.” What Private Micropayments Unlock The impact extends far beyond content access: Confidential subscriptions Private tip jars and donations Sealed-bid auctions Anonymous pay-per-use APIs Enterprise-grade private business intelligence Fraud detection on encrypted data Privacy-preserving AI and agentic workflows This combination — programmability (Ethereum), access (Base), and confidentiality (FHE) — represents the missing layer of Web3 payments. A Glimpse Into the Future of Encrypted Finance The Fhenix402 experiment revealed gaps in today’s privacy infrastructure, including encrypted approvals, gas-efficient FHE operations, and user-friendly interfaces. Fhenix is actively addressing these gaps inside its CoFHE sandbox, building tools and standards to operationalize private onchain computation at scale. “We’re at a true inflection point,” said Zyskind. “Circle, Stripe, and global enterprises are moving into blockchain payments. Privacy isn’t optional anymore — it’s the requirement that will make open payments viable.” About Fhenix Fhenix is a research and development company pioneering encrypted smart contracts with fully homomorphic encryption (FHE). Starting with a laser focus on Private DeFi, Fhenix is building the infrastructure to bring FHE everywhere — empowering developers, institutions, and users to create and use financial applications without sacrificing confidentiality or composability. Users can learn more at www.fhenix.io . ContactHead of MarketingAnzhelika HrokholskaFhenix.iopress@fhenix.ioTG: @anzhelika_ua Disclaimer: This is a sponsored press release and is for informational purposes only. It does not reflect the views of Crypto Daily, nor is it intended to be used as legal, tax, investment, or financial advice.
Previously we have written about how we adopted the React Native New Architecture as one way to boost our performance. Before we dive into how we detect regressions, let’s first explain how we define performance. Mobile performance vitals In browsers there is already an industry standard set of metrics to measure performance in the Core Web Vitals , and while they are by no means perfect, they focus on the actual impact on the user experience. We wanted to have something similar but for apps, so we adopted App Render Complete and Navigation Total Blocking Time as our two most important metrics. App Render Complete is the time it takes to open the cold boot the app for an authenticated user, to it being fully loaded and interactive, roughly equivalent to Time To Interactive in the browser. Navigation Total Blocking Time is the time the application is blocked from processing code during the 2 second window after a navigation. It’s a proxy for overall responsiveness in lieu of something better like Interaction to Next Paint . We still collect a slew of other metrics – such as render times, bundle sizes, network requests, frozen frames, memory usage etc. – but they are indicators to tell us why something went wrong rather than how our users perceive our apps. Their advantage over the more holistic ARC/NTBT metrics is that they are more granular and deterministic. For example, it’s much easier to reliably impact and detect that bundle size increased or that total bandwidth usage decreased, but it doesn’t automatically translate to a noticeable difference for our users. Collecting metrics In the end, what we care about is how our apps run on our users’ actual physical devices, but we also want to know how an app performs before we ship it. For this we leverage the Performance API (via react-native-performance ) that we pipe to Sentry for Real User Monitoring, and in development this is supported out of the box by Rozenite . But we also wanted a reliable way to benchmark and compare two different builds to know whether our optimizations move the needle or new features regress performance. Since Maestro was already used for our End to End test suite, we simply extended that to also collect performance benchmarks in certain key flows. To adjust for flukes we ran the same flow many times on different devices in our CI and calculated statistical significance for each metric. We were now able to compare each Pull Request to our main branch and see how they fared performance wise. Surely, performance regressions were a thing of the past. Reality check In practice, this didn’t have the outcomes we had hoped for a few reasons. First we saw that the automated benchmarks were mainly used when developers wanted validation that their optimizations had an effect – which in itself is important and highly valuable – but this was typically after we had seen a regression in Real User Monitoring, not before. To address this we started running benchmarks between release branches to see how they fared. While this did catch regressions, they were typically hard to address as there was a full week of changes to go through – something our release managers simply weren’t able to do in every instance. Even if they found the cause, simply reverting often wasn’t a possibility. On top of that, the App Render Complete metric was network-dependent and non-deterministic, so if the servers had extra load that hour or if a feature flag turned on, it would affect the benchmarks even if the code didn’t change, invalidating the statistical significance calculation. Precision, specificity and variance We had to go back to the drawing board and reconsider our strategy. We had three major challenges: Precision : Even if we could detect that a regression had occurred, it was not clear to us what change caused it. Specificity : We wanted to detect regressions caused by changes to our mobile codebase. While user impacting regressions in production for whatever reason is crucial in production, the opposite is true for pre-production where we want to isolate as much as possible. Variance: For reasons mentioned above, our benchmarks simply weren’t stable enough between each run to confidently say that one build was faster than another. The solution to the precision problem was simple; we just needed to run the benchmarks for every merge, that way we could see on a time series graph when things changed. This was mainly an infrastructure problem, but thanks to optimized pipelines, build process and caching we were able to cut down the total time to about 8 minutes from merge to benchmarks ready. When it comes to specificity, we needed to cut out as many confounding factors as possible, with the backend being the main one. To achieve this we first record the network traffic, and then replay it during the benchmarks, including API requests, feature flags and websocket data. Additionally the runs were spread out across even more devices. Together, these changes also contributed to solving the variance problem, in part by reducing it, but also by increasing the sample size by orders of magnitude. Just like in production, a single sample never tells the whole story, but by looking at all of them over time it was easy to see trend shifts that we could attribute to a range of 1-5 commits. Alerting As mentioned above, simply having the metrics isn’t enough, as any regression needs to be actioned quickly, so we needed an automated way to alert us. At the same time, if we alerted too often or incorrectly due to inherent variance, it would go ignored. After trialing more esoteric models like Bayesian online changepoint, we settled on a much simpler moving average. When a metric regresses more than 10% for at least two consecutive runs we fire an alert. Next steps While detecting and fixing regressions before a release branch is cut is fantastic, the holy grail is to prevent them from getting merged in the first place. What’s stopping us from doing this at the moment is twofold: on one hand running this for every commit in every branch requires even more capacity in our pipelines, and on the other hand having enough statistical power to tell if there was an effect or not. The two are antagonistic, meaning that given that we have the same budget to spend, running more benchmarks across fewer devices would reduce statistical power. The trick we intend to apply is to spend our resources smarter – since effect can vary, so can our sample size. Essentially, for changes with big impact, we can do fewer runs, and for changes with smaller impact we do more runs. Making mobile performance regressions observable and actionable By combining Maestro-based benchmarks, tighter control over variance, and pragmatic alerting, we have moved performance regression detection from a reactive exercise to a systematic, near-real-time signal. While there is still work to do to stop regressions before they are merged, this approach has already made performance a first-class, continuously monitored concern – helping us ship faster without getting slower. Explore open engineering roles at Kraken The post Preventing mobile performance regressions with Maestro appeared first on Kraken Blog .
A major crypto investor has suffered losses exceeding $20 million after a large bet on AI agent tokens unraveled, according to on-chain data. Blockchain analytics firm Lookonchain reported that the whale initially deployed roughly $23 million across several AI-focused tokens. Visit Website
Key takeaways: Our ARB predictions anticipate a high of $0.82 in 2025. In 2027, the range is expected to be between $1.01 and $1.22, with an average price of $1.04. In 2030, it will range between $2.98 and $3.51, with an average price of $3.08. Layer 2s have generated considerable buzz over the last few months due to their high network activity. Arbitrum led the Layer 2 pack with a total value locked ( TVL ) of $2.93 billion. Arbitrum is an Optimistic Rollup solution that shifts network operations away from the Ethereum mainnet while maintaining Ethereum-level security. Is Arbitrum a good investment? Will it go up? Where will it be in 5 years? Let’s answer these questions and more in our Arbitrum price prediction. Overview Cryprocurrency Arbitrum Ticker ARB Current Arbitrum price $0.1950 Market cap $1.09B Trading volume $110.11M Circulating supply 5.61B All-time high $2.40 on Jan 12, 2024 All-time low $0.136 on Oct 11, 2025 24-hour high $0.2033 24-hour low $0.1948 Arbitrum price prediction: Technical analysis Metric Value Volatility (30-day variation) 4.77% 50-day SMA $0.2402 200-day SMA $0.3760 Sentiment Bearish Green days 12/30 (40%) Fear and Greed Index 16 (Extreme Greed) Arbitrum price analysis On December 17, Arbitrum’s price dropped by 1.26% in 24 hours to $0.1955, continuing the month-long bearish trend. Over the last 30 days, ARB lost 18.31% in value. The drop was accompanied by rising trading volumes (32.43%) as more long positions were liquidated. In October, ARB registered its lowest price (ATL) since launch at $0.136. ARB 1-day chart analysis ARBUSD chart by TradingView ARB has support at $0.19 after breaking below key 23.60% Fibonacci levels at $0.2712, which triggered a new ATL last month. The coin now trades below all major SMA and EMA levels, signaling poor performance. The MACD histogram (0.0009) confirms little market momentum, while the RSI (39.25) is in neutral territory. It is oversold when the value drops below 30. Arbitrum price 4-hour chart price analysis ARBUSD chart by TradingView ARB registers negative momentum on the 4-hour chart. The chart has formed a three-black-crows candlestick pattern associated with bearish continuation trends. The William Alligator trendlines indicate rising volatility, while the RSI (38.27) sits in neutral territory. Arbitrum technical indicators Daily simple moving average (SMA) Period Value ($) Action SMA 3 0.3042 SELL SMA 5 0.2691 SELL SMA 10 0.2565 SELL SMA 21 0.2228 SELL SMA 50 0.2402 SELL SMA 100 0.3254 SELL SMA 200 0.3760 SELL Daily exponential moving average (EMA) Period Value ($) Action EMA 3 0.2218 SELL EMA 5 0.2465 SELL EMA 10 0.3066 SELL EMA 21 0.3782 SELL EMA 50 0.4173 SELL EMA 100 0.4154 SELL EMA 200 0.4407 SELL What to expect from the ARB price analysis next? ARB is caught in a broader risk-off rotation. The recent correction is a result of exhaustion from selling pressure. The $0.19 support level remains critical to ARB’s trajectory. Why is ARB down? ARB’s 14-day RSI hit 39.25 – nearing oversold territory (sub-30) – signaling exhaustion in recent selling pressure. The price stabilized above the $0.19 pivot point, triggering short-term bullish momentum. Recent news Analysts argue ARB is undervalued given its ecosystem growth (TVL at all-time highs, $4B+ stablecoin liquidity). However, the token’s 70% price drop since September 2025 highlights persistent supply overhang. Does Arbitrum have a future? A high adoption rate is crucial for any blockchain’s long-term success and sustainability. Arbitrum’s performance in this regard is a positive sign of its future performance despite the price declines. Is Arbitrum good to buy? Arbitrum is trading at its lowest range this year, with the charts showing it is just above the oversold region. At current prices, ARB is undervalued and is likely to recover if market sentiment changes. On the other hand, the Arbitrum ecosystem’s total value locked has crossed above $2.5 billion, indicating solid utility in decentralized finance. Is Arbitrum a good investment? SkyEcosystem’s Risk Analysis has launched USDS stablecoin on Arbitrum, expanding Arbitrum’s utility, which will attract liquidity to the network. This integration could increase ARB usage, potentially boosting its price. Will Arbitrum reach $10? According to Cryptopolitan price predictions, ARB is unlikely to reach $10 before 2031. Can Arbitrum reach 100 dollars? According to Cryptopolitan price predictions, it is unlikely that ARB will trade at $100 by the end of 2031. Will Arbitrum reach $1,000? According to Cryptopolitan price predictions, it is unlikely that ARB will trade at $1,000 by the end of 2031. Does Arbitrum have a good long-term future? A high adoption rate is crucial for any blockchain’s long-term success and sustainability. Arbitrum’s performance in this regard is a positive sign of its future performance despite the price declines. ARB price prediction December 2025 The Arbitrum price forecast for December is a maximum price of $0.3834 and a minimum price of $0.1821. The average price for the month will be $0.2409. Month Potential low ($) Potential average ($) Potential high ($) December 0.1821 0.2409 0.3834 Arbitrum price prediction 2025 For 2025, ARB’s price will range between $0.155 and $0.820. The average price for the period will be $0.490. Year Potential low ($) Potential average ($) Potential high ($) 2025 0.1550 0.4900 0.8200 Arbitrum price prediction 2026 – 2031 Year Potential low ($) Potential average ($) Potential high ($) 2026 0.3984 0.7260 0.95 2027 1.0100 1.0400 1.22 2028 1.4400 1.4900 1.75 2029 2.0300 2.1000 2.47 2030 2.9800 3.0800 3.51 2031 4.3700 4.5200 5.14 Arbitrum ARB price prediction 2026 The year 2026 will also be bullish. Our analysis estimates that the price range will be between $0.398 and $1.726, with an average price of $1.726. Arbitrum price prediction 2027 Arbitrum market price prediction climbs even higher into 2027. According to the prediction, ARB’s price will range between $1.01 and $1.22, with an average price of $1.04. Arbitrum coin price prediction 2028 Our analysis indicates a further acceleration in ARB’s price. It will trade between $1.44 and $1.75 and an average price of $1.49. Arbitrum price prediction 2029 According to the 2029 ARB price prediction, the price of ARB will range between $2.03 and $2.47, with an average price of $2.10. ARB price prediction 2030 The ARB price prediction for 2030 indicates an expected price range of $2.98 and $3.51, with an average of $3.08. Arbitrum price prediction 2031 The Arbitrum price forecast for 2031 is a high of $5.14. It will reach a minimum price of $4.37 and an average price of $4.52. Arbitrum price prediction 2025-2031 ARB market price prediction: Analysts’ ARB price forecast Platform 2025 2026 2027 Digitalcoinprice $0.42 $0.50 $0.70 Coincodex $0.17 $0.26 $0.32 Gate.com $0.20 $0.25 $0.29 Cryptopolitan’s ARB price prediction Our predictions indicate that ARB will reach a high of $0.82 in 2025. In 2027, the range is expected to be between $1.01 and $1.22, with an average of $1.04. In 2030, the range is likely to be between $2.98 and $3.51, with an average of $3.08. Note that the predictions are not investment advice. Seek independent professional consultation or do your research. Arbitrum historic price sentiment Arbitrum price history by CoinGecko The Arbitrum airdrop snapshot occurred on Feb 6, 2023, and eligible participants started claiming on Mar 23, 2023. The claiming period ended on Sep 24, 2023. The airdrop granted 11.5% of the total supply to eligible users, 1.1% to DAOs operating in the Arbitrum ecosystem, and 44% to employees and Offchain Labs investors. The 44% is subject to lock-up periods and a vesting schedule. The rest was sent to the Arbitrum DAO treasury. On Sep 11, 2023, it fell to its all-time low at $0.7453. Bitcoin halving and crypto ETF hype helped the coin recover from October. By the end of the year, it had risen to $1.4. The run continued into 2024. On Jan 12, it reached its all-time high at $2.40. Per CoinMarketCap data, ARB broke below its listing price in June 2024. On August 5, 2024, it registered a new all-time low of $0.4317 It then recovered in September, reaching a high of $0.67. The bullish run continued into November, reaching as high as $1.12 in December. The coin crossed into 2025, trading at $0.72 when it assumed a bear run, falling to as low as $0.40 in February. It recovered later and crossed into October, trading at $0.45. The trend later reversed, and on date 11, it registered its lowest price at $0.136. In December, it traded at $0.20.