Amous Declares Only Saylor Can Handle MSTR High Leverage, BTC Could Hit $1.6 Million by 2030

Stock News09:13

According to Woofun AI, the Bitcoin treasury management model adopted by Strategy (MSTR.US) (Nasdaq: MSTR) is regarded by economist Saifedean Amous as an unreplicable business singularity.

Speaking on the Cointelegraph "Proof of Thesis" podcast, Amous emphasized that while converting positive cash flow into long-term Bitcoin assets is a sound strategy, only Michael Saylor (MSTR.US) can safely navigate the high-leverage model of borrowing to purchase Bitcoin, as other companies lack the corresponding risk resilience and execution foundation. This uniqueness stems from Strategy's absolute position in the industry, making it an irreplaceable single entity in this space rather than just one of many options.

From a business model deconstruction perspective, Amous strictly distinguishes between two paths: one is utilizing positive cash flow generated from financial reports for long-term asset management, and the other is borrowing against Bitcoin holdings as collateral to make additional purchases. According to data compiled by Woofun AI, Strategy enjoys the lowest borrowing rates due to holding the largest Bitcoin reserve, which constitutes a safety cushion for its high-leverage strategy. Historical data validates the resilience of this model: even during the 77% crash in 2021 and last year's significant market correction, the company never triggered a liquidation mechanism. Amous explicitly stated that this is not an investment recommendation for MSTR (MSTR.US) stock, but rather to clarify why there is no obvious second choice among companies adopting Bitcoin treasury management strategies. The only person who can truly survive and profit in such high-leverage operations is currently Michael Saylor (MSTR.US) alone, and this exclusivity establishes his unique benchmark position in the industry.

Regarding macro drivers, Amous believes short-term Bitcoin price fluctuations are mainly dominated by Federal Reserve policy. During the Fed's last rate hike cycle, Bitcoin's price nearly doubled; after rate cuts began, the price showed a sustained upward trend. Daily volatility is attributed to traders selling cryptocurrencies to meet margin calls on positions in markets such as Nasdaq. From a long-term perspective, Bitcoin's trajectory follows a four-year halving cycle rather than interest rate decisions. Amous predicts that Bitcoin's bottom will appear in June of this year or in the following months, with mid-2026 to mid-2027 being the optimal accumulation window. Notably, the magnitude of declines across cycles has been converging: 85% to 90% after the first halving, 85% in the second, 77% in the third, and only 54% in the current cycle. This narrowing decline makes Bitcoin more attractive to risk-averse institutional investors, who had previously been deterred by fears of an 80% drop. Additionally, while the Trump administration has not directly influenced coin prices, it has reduced operational difficulties by appointing SEC and CFTC officials with lenient attitudes toward altcoins. The anticipated political gridlock after the midterm elections is expected to maintain this situation for approximately two years. As for the quantum computing threat, Amous considers it exaggerated, as Bitcoin's UTXO structure can migrate to quantum-resistant technology before danger emerges.

Based on a power law model, Amous provides a broad range of $200,000 to $1.6 million for Bitcoin's price in 2030. Considering that Bitcoin's recent prices tend to be lower than the model's predictions, he judges that the actual price is more likely to be closer to the lower bound of the range. This prediction not only reflects the statistical patterns of historical data but also implies conservative estimates of market sentiment and institutional adoption speed. Against the dual backdrop of narrowing halving cycle declines and a relatively stable regulatory environment, Bitcoin's long-term value discovery process continues, and the 2030 price floor expectation provides investors with a rational anchor based on a mathematical model.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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