Bitcoin underperforms SPX, yet Saylor doubles down – Here’s why

ambcryptoОпубликовано 2025-12-21Обновлено 2025-12-21

Введение

Despite Bitcoin's significant underperformance compared to the S&P 500, with BTC down 22% QTD while SPX gained 2.18%, Michael Saylor and MicroStrategy remain strongly committed. The company added 31,000 BTC this quarter, emphasizing a focus on Bitcoin's long-term fundamentals rather than short-term price swings. Saylor positions BTC as a next-generation store of value, driven by growing tokenization and improving regulatory clarity. The market cap of wrapped Bitcoin has quintupled since 2023, strengthening its DeFi presence. This institutional confidence suggests Bitcoin's fundamentals are strengthening, potentially marking a new era where core value, not FUD, drives market behavior.

This cycle has really put fundamentals back in the spotlight.

On the price side, the crypto market has been all over the place.

The result? The Fear and Greed Index showed market confidence rattling, swinging continuously between “extreme fear” and the broader fear zone.

Notably, that shake-up has created a clear divergence.

On the charts, Bitcoin [BTC] showed a loss of strength versus risk-on and legacy assets. For instance, the S&P500 [SPX] was up 2.18% QTD, while BTC sat at -22%, only 7% away from erasing last quarter’s gains.

In this setup, Michael Saylor’s take starts to click.

In a recent interview, he said Bitcoin’s “fundamentals are strong this year.” According to AMBCrypto, that’s a big deal.

It showed the heavy hitters were still backing BTC, not for its short-term swings, but for the fundamentals.

Notably, MicroStrategy (MSTR) has added 31k BTC this quarter, staying firm on its stance. Could this mark a new era in how the market handles FUD, with Bitcoin’s fundamentals becoming the true driver of its value?

Saylor positions Bitcoin as the next-gen store of value

Looking ahead, MSTR’s Bitcoin roadmap is clearly future-focused.

From Artificial Intelligence (AI)-driven financial models and upgraded digital gold plans to regulatory easing and quantum FUD, Saylor sees the company snapping up 5-7% of BTC supply over the next few years.

Notably, the core of this conviction rests on two key factors: Bitcoin’s growing tokenization and regulatory clarity. Saylor sees these as the main drivers likely to push BTC’s institutional adoption to new highs.

The 2025 Coin Metrics report backs this thesis.

Looking at the chart above, the market cap of wrapped Bitcoin across chains has quintupled since January 2023. In fact, the two largest tokens (WBTC and cbBTC) now account for a combined 172,130 BTC.

In other words, tokenized Bitcoin has surged this year, strengthening its DeFi footprint by tapping into the power of other L1 blockchains. Given this trend, Michael Saylor’s Bitcoin strategy starts to make complete sense.

As a result, with fundamentals getting stronger, institutional appetite for BTC could just be kicking off, and MicroStrategy’s bold moves may set the tone for other Bitcoin heavyweights to follow.

Final Thoughts

Despite market volatility, Michael Saylor and MicroStrategy continue to back Bitcoin based on fundamentals, adding 31k BTC this quarter.
With tokenized Bitcoin surging and regulatory clarity improving, Bitcoin’s fundamentals are strengthening, setting the stage for broader institutional participation.

Связанные с этим вопросы

QAccording to the article, how did Bitcoin's performance compare to the S&P 500 (SPX) recently?

ABitcoin significantly underperformed the S&P 500. The S&P 500 was up 2.18% quarter-to-date (QTD), while Bitcoin was down 22%.

QWhat is Michael Saylor's view on Bitcoin fundamentals, as stated in the article?

AMichael Saylor stated that Bitcoin's 'fundamentals are strong this year,' indicating his conviction is based on long-term value drivers rather than short-term price swings.

QHow much Bitcoin did MicroStrategy add to its holdings in the quarter discussed in the article?

AMicroStrategy added 31,000 BTC to its holdings in that quarter.

QWhat two key factors does the article cite as the core of Saylor's conviction for Bitcoin's future?

AThe two key factors are Bitcoin's growing tokenization and improving regulatory clarity.

QWhat does the 2025 Coin Metrics report, mentioned in the article, say about the market cap of wrapped Bitcoin?

AThe report states that the market cap of wrapped Bitcoin across various blockchains has quintupled since January 2023.

Похожее

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit1 мин. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit1 мин. назад

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit6 мин. назад

marsbit6 мин. назад

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit12 мин. назад

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit12 мин. назад

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit12 мин. назад

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit12 мин. назад

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

In today's TechFlow Intelligence Briefing, several major tech stories highlight a growing theme of trust and credibility gaps across AI, crypto, and finance. AI company Anthropic has publicly called for a global pause in AI development, citing risks from Claude's "recursive self-improvement." Ironically, this coincides with reports the company is preparing for a massive IPO targeting a near $1 trillion valuation. This perceived hypocrisy, coupled with widespread user complaints about Claude's declining performance, is sparking debate over whether the safety warning is genuine or a competitive tactic. Meanwhile, in a substantive security move, Anthropic open-sourced a framework for AI-powered vulnerability discovery. In the crypto market, Bitcoin's price drop below $61,000 triggered over $1.16 billion in liquidations, flipping the market into a state where more BTC is held at a loss than at a profit, a historical bearish signal. On the corporate front, SpaceX's highly anticipated IPO is generating immense Wall Street excitement, with Goldman Sachs projecting 100x revenue growth by 2030. However, the S&P 500 has refused to fast-track the company's inclusion post-IPO, potentially limiting immediate institutional demand. Separately, ByteDance's AI app Doubao lost over 6 million monthly active users after introducing a subscription model, highlighting the challenges of AI monetization. Other notable developments include Nvidia certifying HBM4 memory from Samsung, SK Hynix, and Micron; Cloudflare's acquisition of front-end tooling company VoidZero; and its CEO warning that bot traffic now exceeds human traffic online. The underlying narrative connects these events: a trust crisis. From AI firms' contradictory actions and crypto volatility to the clash between SpaceX's hyped narrative and institutional rules, a pattern is emerging where stated intentions and actual practices are increasingly misaligned.

marsbit28 мин. назад

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

marsbit28 мин. назад

Торговля

Спот

Фьючерсы

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на S (S) представлены ниже.

Bitcoin underperforms SPX, yet Saylor doubles down – Here’s why

Введение

Saylor positions Bitcoin as the next-gen store of value

Final Thoughts

Связанные с этим вопросы

Похожее

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Token Inefficient, Economy Tokenless

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

Торговля

Популярные статьи

Как купить S

Sonic: Обновления под руководством Андре Кронье – новая звезда Layer-1 на фоне спада рынка

HTX Learn: Пройдите обучение по "Sonic" и разделите 1000 USDT

Обсуждения

Топ вопросы

Популярные категории

Популярные теги