Connect with us
DAPA Banner

Crypto World

Bitcoin Believers Who Lasted 16 Months Just Sold Every Coin to Survive

Published

on

Genius Group (GNS) sold its entire Bitcoin (BTC) treasury of 84.15 BTC on April 1, 2026, fully repaying $8.5 million in debt and leaving the company with zero BTC on its balance sheet.

The Singapore-based AI-powered education company adopted its Bitcoin-first strategy on November 12, 2024, just days after the US presidential election, committing to hold 90% or more of its reserves in BTC.

Genius Group Moves From 440 BTC to Zero

The exit marks the end of a 16-month run as one of the earliest post-election corporate BTC treasury adopters.

Genius Group’s BTC accumulation peaked at approximately 440 BTC by early 2025. Based on current rankings, this would place the firm among the top 70 public companies holding BTC.

Top Public Companies Holding BTC
Top Public Companies Holding BTC. Source: Bitcoin Treasuries

The company tied its treasury strategy directly to its identity as an AI-powered education group. They framed BTC as its primary reserve asset alongside workforce training and experiential learning programs.

The unraveling began when a US court order blocked the company from raising capital or issuing new shares.

That legal constraint removed the company’s ability to fund operations without tapping its BTC holdings. Sales proceeded in stages rather than in a single transaction.

By February 6, 2026, Genius Group held exactly 84.15 BTC after selling approximately 96 BTC between late December 2025 and early February 2026.

Advertisement

The partial sales reduced a BTC-backed loan from roughly $8.5 million to around $3.3 million before the final liquidation cleared the balance entirely.

Debt Pressure Forces the Exit

The final BTC sale occurred during Q1 2026 and was completed before March 31. The company announced zero holdings on April 1 alongside its Q1 results, confirming the full debt repayment.

The exit came at a loss. Genius Group’s average BTC cost basis sat near $102,000 per coin from earlier accumulation. Meanwhile, prices during the Q1 sale period ran softer, around $66,500.

Despite the treasury wipeout, the company’s core operations showed growth. Q1 2026 operational revenue reached $3.3 million, up 171% from $1.2 million in Q1 2025.

Advertisement

Gross profit grew 228% to $2.0 million, and gross margin improved to 62% from 52% a year earlier. Adjusted EBITDA from operations turned positive at $600,000, compared to negative $400,000 in Q1 2025.

CEO Roger Hamilton attributed the operational improvement to a strategic focus on higher-margin education programs across Genius School, Genius Academy, and Genius Resorts.

“Our first quarter marks a significant milestone for Genius Group. It shows that our focus on three revenue drivers – Genius School, Genius Academy, and Genius Resorts – is paying off, with our operational revenue getting close to tripling year-on-year,” read an excerpt in the announcement, citing founder and CEO Roger

A Pause, Not an Exit

Genius Group framed the BTC liquidation as a temporary measure rather than a permanent reversal of strategy.

The company stated it will recommence building its Bitcoin treasury when it believes market conditions are more favorable.

Advertisement

Hamilton has accumulated 5.5 million company shares since 2024, a signal management cited as a sign of confidence in the company’s longer-term direction.

The company also pointed to continued expansion of its Genius City project in Bali, a combined education and residential hub, as part of its broader Southeast Asia growth plan.

Whether the company can rebuild a BTC treasury position without the fundraising constraints that forced the selldown will depend on the resolution of its ongoing legal proceedings and BTC price conditions at the time of any renewed accumulation.

The post Bitcoin Believers Who Lasted 16 Months Just Sold Every Coin to Survive appeared first on BeInCrypto.

Advertisement

Source link

Continue Reading
Click to comment

You must be logged in to post a comment Login

Leave a Reply

Crypto World

DeFi Is Optimizing For gas, Not For Markets

Published

on

DeFi Is Optimizing For gas, Not For Markets

Opinion by: João Garcia, DevReal lead at Cartesi.

Decentralized finance presents itself as a transparent alternative to Wall Street. Yet, what it has largely reconstructed is a simplified version of finance, engineered less around market resilience than around the constraints of gas fees. That trade-off, once treated as a technical footnote, is increasingly shaping the limits of what DeFi can become.

So long as computational minimalism remains the overriding priority, financial robustness will remain secondary, and periods of market stress will continue to expose that imbalance.

When markets move faster than the virtual machine

DeFi has rebuilt the familiar architecture of finance, including exchanges, lending markets, derivatives and stablecoins. However, the way these systems function reveals how tightly they are bound by their execution environments.

Risk parameters tend to remain static, and although collateral thresholds can adjust, they typically do so slowly, through governance processes rather than automatic recalibration. Liquidation engines currently rely on fixed formulas rather than adaptive portfolio models that account for shifting volatility or correlations. What appears as a design preference is often a concession to computational limits.

Advertisement

On Ethereum and similar chains, floating-point arithmetic is absent or emulated, iterative simulations are expensive, and continuously recomputing cross-asset exposure can quickly become impractical. The outcome is that financial logic is compressed into forms that are deterministic and affordable to execute, even if that compression strips away nuance.

This architecture performs adequately in stable conditions, but volatility has a way of testing its edges. During MakerDAO’s “Black Thursday” event in March 2020, vaults were liquidated at effectively zero bids, as auction mechanics struggled under collapsing prices and network congestion. 

In later downturns, protocols such as Aave and Compound leaned on mass liquidations triggered by fixed collateral ratios, rather than dynamic portfolio recalculations. When Curve’s pools were destabilized in 2023 following a smart contract exploit, the stress radiated outward into lending protocols that treated LP tokens as static collateral, compounding systemic risk.

In each instance, decentralization itself was not the breaking point. Rather, rigid financial logic operated inside an execution layer that could not continuously recompute risk as conditions deteriorated.

Advertisement

Traditional markets evolved in the opposite direction. Banks and clearinghouses simulate thousands of stress scenarios, recalculating exposure as correlations shift and volatility regimes change. Margin requirements respond dynamically to market conditions, and the response is led by substantial computational infrastructure and mature numerical tooling. Public blockchains, by contrast, were not designed with that degree of iterative financial processing in mind.

The illusion of simplicity

Constraining computational complexity reduces certain attack surfaces. Simplicity at the protocol layer, however, does not dissolve complexity in the financial system. It merely pushes it elsewhere.

When risk cannot be modeled and recomputed transparently on-chain, it migrates off-chain into dashboards, analytics teams, discretionary parameter adjustments and emergency governance coordination. The blockchain may remain the settlement layer, but the adaptive intelligence that stabilizes the system increasingly operates outside it. During volatility spikes, protocols often depend on rapid human coordination to adjust parameters, while oracles and large token holders acquire disproportionate influence over outcomes.

The system retains its decentralized base, yet its capacity to respond flexibly depends on actors operating beyond deterministic execution. What appears structurally simple at the smart contract level can conceal a more complex and less transparent operational reality.

Advertisement

DeFi did not converge on simplified finance because static ratios and deterministic curves were proven superior. It converged there because richer computational models were prohibitively expensive to run. As markets deepen, leverage increases, and instruments grow more interdependent, that compromise becomes harder to ignore. Fixed thresholds and blunt liquidation engines, initially safeguards, can begin to function as amplifiers of stress.

Computation as a missing primitive

The deeper constraint, more than decentralization, is execution design.

If verifiable execution environments begin to approximate general-purpose computing systems, the financial design space expands. Native floating-point assistance, iterative algorithms and access to established numerical libraries would allow models to be expressed directly rather than translated into simplified approximations. 

Related: Wall Street will eventually submit to the rules of DeFi

Advertisement

This change would allow lending protocols to incorporate scenario-based stress testing instead of relying primarily on fixed collateral ratios. Margin requirements may also adjust in response to observed volatility rather than governance cadence. It could also see credit systems recompute multivariable risk scores transparently, replacing binary heuristics with more granular assessments.

The aim is not to introduce complexity for its own sake. It is to keep financial intelligence inside the protocol, where it remains visible and enforceable, rather than externalizing it into operational layers that users cannot easily audit. This underscores the broader point that the limitations confronting DeFi are largely architectural choices, not inevitabilities of decentralization.

A credibility ceiling

DeFi now stands at a structural crossroads. One direction preserves gas-optimized minimalism, keeping base-layer execution clean while allowing increasingly sophisticated financial logic to migrate off-chain. That path may maintain clarity at the smart contract level, but it constrains how far decentralized finance can responsibly scale.

The alternative is to treat computation itself as a first-class primitive and to accept more capable execution environments in exchange for systems that can adapt, recompute and stress-test transparently. If complex risk logic cannot live on-chain, DeFi will continue to project simplicity in code while relying on discretion in practice.

Advertisement

Markets will not moderate their complexity to accommodate virtual machine constraints. If decentralized finance intends to operate at a meaningful scale, its computational foundations will have to evolve alongside the financial ambitions built on top of them.

Opinion by: João Garcia, DevReal lead at Cartesi.