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How Strategy and Metaplanet Bitcoin Singularity Turns Cheap Legacy Capital into an Endless Bitcoin Accumulation Machine

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Nexo Partners with Bakkt for US Crypto Exchange and Yield Programs

TLDR:

  • Strategy and Metaplanet Bitcoin Singularity captures a 6.6% annual spread to fund Bitcoin purchases at zero net cost.
  • STRC perpetual preferreds now yield 11.5%, widening the spread gap since Livingston first outlined the trade in November 2025.
  • Scaling the model to $100 million in raised capital generates up to $6.6 million in free Bitcoin purchases every single year.
  • Any public company with access to low-cost capital can theoretically run this Bitcoin Treasury arbitrage playbook right now.

Strategy and Metaplanet Bitcoin Singularity is reshaping how public companies think about capital deployment and Bitcoin accumulation.

Crypto strategist Adam Livingston recently outlined a model where companies borrow at low rates and park capital into high-yield STRC perpetual preferreds.

The gap between both figures funds Bitcoin purchases at zero net cost. With STRC yields now near 11.5%, the trade is drawing serious attention from institutional observers watching Bitcoin Treasury companies closely.

How Strategy and Metaplanet Bitcoin Singularity Works in Practice

The mechanics behind Strategy and Metaplanet Bitcoin Singularity are built on a simple but powerful spread. A company raises capital at roughly 4.9% and deploys it into STRC perpetual preferreds yielding 11.5%.

The 6.6% difference between those two figures becomes the engine for Bitcoin accumulation. No extra capital is needed to fund the Bitcoin purchases.

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Livingston broke the trade down using a clean $100 illustration. Raising $100 at 4.9% costs $4.90 per year in interest.

Deploying that same $100 into STRC returns $11.50 annually. The remaining $6.60 goes directly into Bitcoin, creating a self-funding accumulation loop.

Livingston posted on X, stating: “Scale it: $10M raised → $660k free Bitcoin per year. $100M raised → $6.6M free Bitcoin per year.” He described the structure as textbook positive-carry arbitrage, Bitcoin-Treasury edition.

Legacy capital flows in cheap, high-yielding paper flows out, and the excess funds Bitcoin at zero net cost.

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The trade operates on a perpetual basis as long as the spread holds. There are no complex derivatives or leveraged instruments involved.

The structure simply captures the gap between borrowing costs and coupon income, then redirects that gap into Bitcoin every single year.

Metaplanet’s Structural Edge Within the Bitcoin Singularity Framework

Metaplanet sits at the center of this conversation for a specific reason. Japan’s ultra-low interest rate environment gives the company access to borrowing costs that most Western companies cannot match.

That structural advantage makes the spread wider and the Bitcoin accumulation rate faster compared to higher-rate markets.

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Livingston was clear that Metaplanet is used as an example, not the exclusive operator of this strategy. Any sophisticated public company with access to low-cost capital could theoretically run the same playbook. The Japan dynamic simply offers one of the most favorable entry points available today.

Livingston first identified this opportunity in November 2025, when Metaplanet was raising at 4.9% and STRC was yielding around 10.5%. Since then, STRC yields have climbed to approximately 11.5%, making the spread even more attractive than when he first outlined it.

The Strategy and Metaplanet Bitcoin Singularity framework turns legacy financial infrastructure into a Bitcoin accumulation machine.

Traditional capital markets, rather than competing with Bitcoin Treasury companies, are effectively funding their growth — without realizing it.

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Crypto World

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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