Strategy’s Bitcoin Position Is Bear-Proof, Analyst Says

bitcoinistPublished on 2025-11-05Last updated on 2025-11-05

Abstract

According to Bitcoin analyst Willy Woo, Strategy (MSTR) is unlikely to be forced to sell its Bitcoin in the next...

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

According to Bitcoin analyst Willy Woo, Strategy (MSTR) is unlikely to be forced to sell its Bitcoin in the next major market downturn. Strategy holds about 641,205 Bitcoin, a stake worth roughly $64 billion at current prices, according to Saylor Tracker.

Convertible Debt Gives Flexibility

Strategy’s debt is mostly in convertible senior notes that carry a holder put right dated Sept. 15, 2027. Based on Woo’s calculations, Strategy would need its stock to trade above $183 around that date to avoid selling Bitcoin to meet obligations.

That stock level lines up with a Bitcoin price near $91,502, assuming a multiple net-asset-value (mNAV) of 1. The company can settle conversions with cash, common stock, or a mix of both, and that choice gives management breathing room when markets wobble.

Market Moves Put Pressure On Short Timescales

Strategy’s share price closed at $246.99, a seven-month low, down nearly 6.7% on the reported day. Bitcoin was trading at $102,004, down 9% over the past seven days, Coingecko data shows.

Based on reports, some market watchers say it would take a very prolonged and deep decline to force Strategy into selling its Bitcoin. One analyst put it this way: for the firm to liquidate, Bitcoin would need to underperform badly for a long stretch. Those words reflect the view that the company is insulated — but not immune.

Risk Of Partial Sales Looms

Willy Woo did add a warning. He suggested a partial sale could happen if Bitcoin fails to climb quickly during an expected 2028 bull run. Based on reports, that scenario would not be caused by a single bad week, but by a slow recovery that leaves Strategy’s stock weak when debt dates arrive.

Other public forecasts remain far more bullish: ARK Invest’s Cathie Wood and Coinbase CEO Brian Armstrong have both mentioned targets as high as $1,000,000 for BTC by 2030.

BTCUSD trading at $101,849 on the 24-hour chart: TradingView

Debt Structure And Practical Choices

The convertible note setup means the company does not face an automatic margin call that forces an immediate sale. Conversions can be settled with stock, which shifts the pressure onto MSTR’s share price rather than Bitcoin alone.

However, that linkage also ties Strategy’s fate more tightly to investor appetite for a stock that mirrors Bitcoin’s movement.

Short Term Drops, Long Term Tests

Strategy looks broadly protected against a typical bear market. Yet the math shows a clear cut point: about $1 billion in debt comes due by the holder put date mentioned above.

If Bitcoin and MSTR equity both underperform for an extended period, adjustments may be needed. For now, major analysts say liquidation is unlikely in the next downturn, but they also flag 2028 as a critical year for whether any sales become necessary.

Featured image from Outside Bozeman, chart from TradingView

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

Christian, a journalist and editor with leadership roles in Philippine and Canadian media, is fueled by his love for writing and cryptocurrency. Off-screen, he's a cook and cinephile who's constantly intrigued by the size of the universe.

Related Reads

The Veil of Mythos Becomes Anthropic's Lever to Move Trillions

The article discusses Anthropic's reported upcoming $30 billion funding round, which would value the company at over $900 billion. It analyzes how the company has leveraged strategic narratives around its unreleased "Mythos" model, rather than just its publicly available products, to drive this massive valuation. Key points include Google's surprising $40 billion investment in a competitor, suggesting it is buying strategic positioning. Anthropic's "Glasswing" cybersecurity project and the unreleased Mythos model are portrayed not through direct proof, but through carefully crafted narratives of being "too powerful for public release," creating an aura of exclusive, high-level capability. This is bolstered by reports of the White House and NSA seeking access to Claude/Mythos despite previous security concerns, implying indispensable technology. Furthermore, Anthropic's reported rapid revenue growth—from a $1 billion annual run-rate in late 2024 to over $30 billion by April 2026, largely driven by enterprise API and Claude Code—provides a financial story for investors. The article concludes that Anthropic's core business model is effectively converting unverifiable technical potential, government interest, and future revenue projections into a compelling narrative that secures immense capital, using the actions of wealthy investors and powerful institutions as the ultimate validation of its worth.

marsbit36m ago

The Veil of Mythos Becomes Anthropic's Lever to Move Trillions

marsbit36m ago

Google CEO Admits Lagging Behind in Coding

Google CEO Sundar Pichai acknowledged in a recent interview that Google's Gemini AI models are currently "lagging behind" in coding capabilities, particularly for complex, long-horizon tasks requiring advanced developer expertise. He noted the field is advancing at an "unprecedented" pace, where 30-60 days now brings changes equivalent to five years in the past. Pichai expressed that achieving Artificial General Intelligence (AGI) now seems closer than previously imagined due to rapid progress. While highlighting strengths in text, multimodal, and reasoning tasks, Pichai admitted competitors like Anthropic and OpenAI have focused more intently on coding. He emphasized Google's commitment to catching up, citing internal tools like Antigravity 2.0 and the newly released Gemini 3.5 Flash, which aims to address previous shortcomings. Regarding Google Search's AI-driven overhaul, Pichai stated changes will be gradual to align with user needs, not disrupt the core search experience or its advertising model. He addressed public AI anxiety as understandable, given the technology's potential to reshape jobs and society, but remained optimistic about AI augmenting human capabilities and creating new opportunities. Pichai stressed the need for broad societal dialogue and responsible development as AI approaches more advanced, potentially recursive self-improvement stages. He affirmed Google's long-term commitment to leading in AI while navigating its profound implications responsibly.

marsbit2h ago

Google CEO Admits Lagging Behind in Coding

marsbit2h ago

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

The Paradox of Automation: The more powerful AI becomes, the more work humans have to do. This article, based on observations from AI-heavy company Every, argues that while AI agents automate tasks like coding, writing, and customer service, they don't eliminate human jobs. Instead, they transform work and create *more* demand for human expertise. AI commoditizes "yesterday's human capabilities" by cheaply generating code, text, and images from past data. This leads to an abundance of similar, generic outputs. Consequently, what becomes scarce and valuable is human judgment in the present moment: knowing *what* is worth doing, *why*, and *how* to do it well. The article identifies two collaboration models: "Agent employees" for delegated tasks and "human-AI collaboration" within tools like Claude Code for complex work. In both cases, humans are essential to set direction, judge quality, and maintain systems. As AI makes execution cheap, human roles shift from executors to designers, reviewers, and meaning-makers. The author addresses "benchmark anxiety" by explaining that AI excels within specific, human-defined problem "frames." As AI masters one frame (e.g., code rewriting), new, more complex frames emerge (e.g., deciding *when* to rewrite). This creates an ongoing cycle where AI chases the frames, but humans remain the "framers." Even with advanced AGI, this dynamic may persist as long as AI lacks true human-like agency and self-directed purpose. The core paradox holds: automation amplifies the need for the very human judgment it seems to replace.

marsbit3h ago

The Paradox of Automation: The Stronger the AI, the Busier Humans Become

marsbit3h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of S (S) are presented below.

活动图片