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What next as majors surge 10% to recover war-driven losses

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What next as majors surge 10% to recover war-driven losses

Crypto markets snapped back hard on Sunday after spending Saturday pricing in what looked like the start of a prolonged regional war.

Bitcoin climbed to $66,843, up 5.2% over the past 24 hours, recovering most of the losses from Saturday’s slide below $64,000 after U.S. and Israeli strikes on Iran.

The bounce accelerated after Iranian state TV confirmed the death of Supreme Leader Khamenei, which markets interpreted as raising the odds of a shorter conflict.

Solana led the recovery among majors, surging 10.8% to $86.42. Ether rose 7.5% to reclaim $1,994, putting it back within touching distance of $2,000 for the first time since Thursday. Cardano added 6.7%, dogecoin gained 6.5%, XRP rose 5.6%, and BNB climbed 4.8%.

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The weekly picture is messier, however. Bitcoin is still down 1.6% over seven days, XRP has lost 2%, and dogecoin is off 2.5%. Solana and ether are the only majors that have clawed back into the green on the week, up 1.7% and 1.1% respectively.

The weekend volatility has been enormous but net movement has been small, which captures the broader story of a market whipsawing on global headlines without actually going anywhere.

The bounce looks convincing on a 24-hour chart but fragile in context. Saturday’s sell-off happened on thin weekend liquidity. Sunday’s rally happened on the same thin liquidity, just in the opposite direction.

The real test arrives in hours when equity futures, oil, and bond markets reopen and institutional capital has its first chance to react to Saturday’s events.

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The Polymarket’s ceasefire contract gives a 78% chance of a U.S.-Iran ceasefire by April 30 and 61% by March 31, as reported earlier Sunday.

If that pricing holds once traditional markets digest the weekend, the bounce has legs. However, if oil spikes and equities gap lower on the open, crypto’s Sunday optimism could get faded the same way Wednesday’s push to $70,000 was.

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New cryptocurrency Mutuum Finance advances decentralized lending on Ethereum network

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New cryptocurrency Mutuum Finance advances decentralized lending on Ethereum network

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

Mutuum Finance raises more than $20.6m as it builds a non-custodial lending protocol on Ethereum.

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Summary

  • Mutuum Finance raises $20.6m to expand its Ethereum-based non-custodial lending protocol.
  • Mutuum Finance’s V1 protocol goes live on Sepolia testnet, enabling simulated on-chain lending and borrowing.
  • Mutuum’s Sepolia testnet records over $150m in simulated TVL, signaling strong early engagement.

Mutuum Finance (MUTM), a new cryptocurrency project building decentralized lending infrastructure on Ethereum, continues expanding its protocol development as fundraising surpasses $20.6 million. The non-custodial platform is designed to allow users to lend and borrow digital assets directly through smart contracts, without relying on centralized intermediaries.

The MUTM token is currently priced at $0.04, with more than 19,000 holders participating in the ongoing token distribution. According to project data, the protocol’s Sepolia testnet environment has now exceeded $150 million in simulated total value locked (TVL), reflecting user engagement during the testing phase.

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Mutuum Finance V1 protocol live on testnet

Mutuum Finance’s V1 protocol is currently live on the Sepolia testnet, where users can simulate lending and borrowing by supplying supported assets to liquidity pools for yield or locking collateral to access other tokens. The system executes these functions through smart contracts with predefined risk parameters, allowing users to interact directly with on-chain lending markets in a test environment.

Safe-mode borrow presets introduced

In a recent update shared on X, the team announced the release of Safe-Mode Borrow Presets. The feature introduces one-click borrowing options aligned with predefined Stability Factor targets labeled Safe, Balanced, and Aggressive. The preset system adjusts borrowing capacity automatically based on the selected risk profile.

The team also shared a short demonstration video illustrating how the feature operates within the interface. According to the update, additional releases and protocol improvements are planned in the coming period.

In the current version of the protocol, users can mint testnet assets such as ETH, USDT, LINK, and WBTC. After minting, these assets can be supplied into the platform to participate in lending or borrowing activity, and they can also be used within the staking module available in the test environment.

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When a user deposits an asset such as USDT, the protocol issues a corresponding mtToken, for example, mtUSDT, representing proof of deposit on a 1:1 basis. These mtTokens reflect the user’s position in the liquidity pool. By staking mtTokens, users become eligible to receive MUTM tokens distributed as part of the protocol’s dividend model.

The current release also includes debt tokens, which are minted when a user borrows and track the outstanding principal along with accrued interest. An automated liquidator bot monitors collateral positions and initiates liquidation if required thresholds are breached. In addition, a stability factor metric provides a real-time indicator of how well-collateralized a borrowing position is relative to protocol requirements.

Before the V1 protocol launch, on X, the team announced that the Halborn security audit had been completed. The team stated, “HalbornSecurity has completed the independent audit of Mutuum Finance’s V1 lending & borrowing protocol.”

With fundraising exceeding $20.6 million and the protocol now live on testnet, Mutuum Finance continues to expand its decentralized lending infrastructure on Ethereum. Ongoing feature releases, including risk-based borrowing presets, indicate continued development as the project progresses through its roadmap toward a planned mainnet launch.

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Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.

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Bitcoin Q1 2026 Posts Third-Worst Quarterly Loss Since 2013 as Ethereum Slides 32%

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TLDR:

  • Bitcoin’s Q1 2026 return of -23.21% is the third-worst since 2013, trailing only Q1 2018 and Q1 2014 losses.
  • Ethereum recorded a -32.17% Q1 2026 return, falling well below its historical quarterly average of +66.45%.
  • Bitcoin’s Q1 average of +45.90% is heavily skewed by extreme years like 2013’s record gain of +539.96%.
  • Around $1.8 billion in sell orders hit derivatives books in one hour, linked to rising US-Iran geopolitical tension.

Bitcoin Q1 2026 return has dropped to -23.21%, marking one of the weakest first-quarter performances since 2013.

Ethereum also recorded a -32.17% decline during the same period. Data from CoinGlass shows both assets are trading well below their historical quarterly averages.

The numbers reflect broader stress across digital asset markets, driven by macro pressure and rising geopolitical tensions that have rattled investor confidence heading into the second quarter.

Bitcoin Falls to Third-Worst Q1 Since 2013

Bitcoin’s Q1 2026 return stands at -23.21%, placing it among the worst quarterly performances on record. Only Q1 2018 and Q1 2014 recorded steeper losses, at -49.7% and -37.42% respectively.

Both of those periods played out during confirmed bear-market cycles. The current result sits far below the historical Q1 average of +45.90%.

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That average, however, is skewed by extreme years like 2013, when Bitcoin gained +539.96% in the first quarter. The 2021 Q1 also returned +103.17%, further pulling the average higher.

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Source: Coinglass

The historical Q1 median sits at -2.26%, meaning negative quarters are not unusual. Still, a -23.21% return points to conditions well outside normal seasonal weakness.

The data suggests the market is dealing with more than routine volatility. Liquidity contraction and macro risk repricing appear to be key factors.

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These are patterns typically seen during post-cycle deleveraging phases. Investors are not showing signs of early-cycle accumulation at this stage.

Ethereum’s Q1 performance tells a similar story, though the losses run deeper. Its -32.17% return is the third-worst Q1 since 2016. This is well below its historical Q1 average of +66.45% and median of +4.37%.

Derivatives Market Shows Signs of Forced Selling

Ethereum’s higher beta relative to Bitcoin means it tends to fall harder during risk-off periods. The Q1 2026 data is consistent with that pattern.

Capital rotation away from higher-volatility assets has been visible across the market. Together, Bitcoin and Ethereum’s performance points to a defensive macro posture rather than recovery.

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Market analyst CryptoTice flagged a sharp spike in selling pressure through derivatives. The analyst noted that roughly $1.8 billion in aggressive market sell orders hit the books within a single hour.

Rising US-Iran tensions were cited as the catalyst behind the move. The analyst described it as urgency-driven selling rather than a rotation.

When derivatives lead price action, leverage tends to unwind quickly. Liquidations can cascade, and volatility expands rapidly as a result.

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CryptoTice pointed to funding rates, open interest, and liquidity gaps as key areas to monitor. Stress in the derivatives market often shows up before spot prices fully react.

The combined picture across spot and derivatives markets reflects a cautious environment. Both retail and institutional participants appear to be reducing exposure rather than adding risk.

Geopolitical factors have added a layer of uncertainty that is difficult to price. Until clarity returns, volatility is likely to remain elevated across the crypto market.

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US Military Used Anthropic AI in Iran Strike Despite Trump Ban: Report

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US Military Used Anthropic AI in Iran Strike Despite Trump Ban: Report

The US military reportedly used Anthropic during a major air strike on Iran, only hours after President Donald Trump ordered federal agencies to halt use of the company’s systems.

Military commands, including US Central Command (CENTCOM) in the Middle East, used Anthropic’s Claude AI model for operational support, according to people familiar with the matter cited by The Wall Street Journal. The tool has reportedly assisted with intelligence analysis, identifying potential targets and running battlefield simulations.

The incident shows how deeply advanced AI systems have become embedded in defense operations. Even as the administration moved to sever ties with the company, Claude remained integrated into military workflows.

On Friday, the Trump administration instructed agencies to stop working with the company and directed the Defense Department to treat it as a potential security risk. The order came after contract talks broke down, with Anthropic refusing to grant unrestricted military use of its AI for any lawful scenario requested by defense officials.

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Related: Crypto VC Paradigm expands into AI, robotics with $1.5B fund: WSJ

Anthropic’s Claude AI used for classified operations

Anthropic had previously secured a multiyear Pentagon contract worth up to $200 million alongside several major AI labs. Through partnerships involving Palantir and Amazon Web Services, Claude became approved for classified intelligence and operational workflows. The system was reportedly also involved in earlier operations, including a January mission in Venezuela that resulted in the capture of President Nicolás Maduro.

Tensions intensified after Defense Secretary Pete Hegseth demanded the company permit unrestricted military use of its models. Anthropic CEO Dario Amodei rejected the request, describing certain applications as ethical boundaries the company would not cross, even if it meant losing government business.

In response, the Pentagon began lining up replacement providers, reaching an agreement with OpenAI to deploy its AI models on classified military networks.

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OpenAI faces backlash after reaching deal with US military. Source: Sreemoy Talukdar

Related: Pantera, Franklin Templeton join Sentient Arena to test AI agents

Anthropic CEO pushes back on Pentagon ban

During an interview on Saturday, Anthropic CEO Dario Amodei said the company opposes the use of its AI models for mass domestic surveillance and fully autonomous weapons, responding to a US government directive that labeled the firm a defense “supply chain risk” and barred contractors from using its products.

He argued that certain applications cross fundamental boundaries, emphasizing that military decisions should remain under human control rather than be delegated entirely to machines.

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