BitMart Research Institute Weekly Highlights: A Comprehensive Market Analysis Amidst the Stalemate in the Middle East and Stagflation Expectations

marsbitPubblicato 2026-03-24Pubblicato ultima volta 2026-03-24

I. Macro Level (Macro)

1. Geopolitics and the Middle East Conflict

Negotiations between Trump and Iran have seen repeated progress and setbacks, with a significant gap remaining between the demands of both sides. It is expected that the situation in the Middle East will likely remain in a state of "fighting while talking" for the next 2 to 4 weeks. From a political motivation perspective, Trump intends to push for a de-escalation of the conflict in the first half of the year to avoid facing both high oil prices and a pressured stock market as the election cycle enters its second half.

2. Federal Reserve Monetary Policy and FOMC Meeting (Hawkish)

Recently, the overall stance of major central banks, including the Federal Reserve, the Bank of England, and the Bank of Japan, has turned more hawkish. The market has even begun to price in the possibility of the Fed "not cutting rates" or even "raising rates again" this year. The latest FOMC meeting was generally hawkish in tone: the dot plot showed an increase in the number of officials supporting only one rate cut this year; meanwhile, the Fed raised its inflation expectations, and Powell downplayed signals of a weakening labor market. Additionally, the previously dovish official Waller also shifted to support holding rates steady, further strengthening market expectations of a hawkish stance.

3. Diverging Risks of Stagflation and Recession

Risk Underestimation Camp: Some argue that the authenticity of the current non-farm payroll data is questionable, and inflation has been consistently above the 2% target for several years. If a significant external shock occurs, the U.S. economy could easily slide into stagflation or even recession, and the market is still not fully pricing in this risk.

Opposing View: Others believe that the U.S. is now a net exporter of energy, with far less dependence on oil imports compared to the 1970s and 1980s. Therefore, high oil prices alone are not enough to drag the U.S. into typical stagflation. The deeper risk of stagflation may instead come from long-term fiscal expansion and the erosion of the Federal Reserve's independence. However, if key Middle Eastern straits are blockaded for an extended period, and the Fed maintains a hawkish stance to suppress inflation, or even raises rates again, the market's main trading logic could shift from "stagflation trade" to "recession trade."

4. Performance of Traditional Financial Assets and Trading Strategies

Gold Plummets: Gold has not recently demonstrated its typical safe-haven attributes; instead, it has seen a significant decline against the backdrop of rising expectations for central bank tightening and liquidity pressure.

Hedging Suggestions: In the face of short-term uncertainty, it is advisable to hold risk assets while appropriately allocating positions related to the VIX (Volatility Index), as well as fertilizer and natural gas stocks that benefit from the logic of natural gas shortages, as defensive hedging tools. If the market can navigate through the volatility of the next 1 to 3 months, risk assets may still present good performance opportunities in the second half of the year.

II. Cryptocurrency Level (Crypto)

1. Market Trends and Sentiment

Amid intensified macro volatility, Bitcoin (BTC) has shown stronger resilience compared to gold, generally maintaining relative stability around $70,000. Recently, BTC rebounded from $76,000 before falling back and entering a consolidation phase. Current spot and futures market trading volumes are relatively low, while the options market is more active. The rise in put option (Put) skew and prices reflects increased market避险 (risk-off) and panic sentiment.

2. Institutional Moves and ETFs

Institutional capital allocation is showing divergence. MicroStrategy's Bitcoin buying intensity has noticeably cooled, dropping from weekly additions of ten to twenty thousand coins in the past to about 1,000 coins. However, other institutions continue to buy Ethereum on a large scale, with weekly purchases of around 60,000 coins. Overall, Bitcoin spot ETFs are still maintaining slight net inflows.

3. On-Chain Data and Bottom Assessment

From on-chain data, the profit level of long-term holders has fallen back to the consolidation range (green zone) corresponding to the bottom of the last bull-bear cycle. This suggests that the most intense phase of the decline may be over, and the market is in a process of gradual bottoming. At the same time, short-term holders exhibited significant profit-taking behavior around $76,000, creating阶段性 (phase-specific) selling pressure.

4. Regulatory Positive (Clarity Act)

On the regulatory front, resistance to further consensus on the Cryptocurrency Clarity Act in the Senate has decreased. The market assesses its probability of passage has increased to 80%-90%. Concurrently, the banking system may gradually relax restrictions, allowing users to participate in yield-bearing products related to stablecoins through indirect means. This is seen as a clear policy positive, potentially opening channels for larger-scale capital from traditional finance to enter the crypto market.

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Anthropic's IPO Launch: Commercial Miracle or Valuation Bubble?

Anthropic has confidentially filed for an IPO, led by Morgan Stanley and Goldman Sachs, potentially going public by October. Following its latest $650 billion funding round, its pre-IPO valuation stands at $965 billion, with projections reaching up to $2 trillion at listing, which would make it the highest-valued private company ever. The article, written by Fu Sheng, addresses skepticism that this represents an AI bubble akin to the 2000 dot-com crash. It argues the current situation differs fundamentally. Unlike the internet bubble era, which relied on speculative narratives with little revenue, Anthropic's valuation is backed by unprecedented, measurable financial performance. Key data points include: * **Revenue Growth:** ARR skyrocketed from $10 billion in early 2025 to $470 billion by May 2026, targeting $100 billion by year-end—a growth curve unmatched in business history. * **Profitability:** It achieved operating profitability in Q2 2026 with an estimated $5.6 billion profit. * **Efficiency:** With ~3,000 employees and ~$470 billion ARR, its revenue per employee exceeds $10 million. Products like Claude Code, launched less than a year ago, already generate $25 billion in annualized revenue. * **Enterprise Adoption:** It boasts a strong enterprise client base, with 8 of the Fortune 10 and over 1,000 large firms spending over $1 million annually on Claude. The valuation is framed using a traditional SaaS model (e.g., a 10x Price-to-Sales multiple on $100 billion revenue). The author contends the core question for analysts has shifted from "How big could this be?" to "How much is it earning and will earn next quarter?" The discussion extends beyond Anthropic to a broader paradigm shift: the transition from a "carbon-based" to a "silicon-based" economy. Companies are increasingly prioritizing investment in compute and AI capabilities over human resources, as these directly scale productivity and competitive advantage. Anthropic's IPO is thus positioned not just as a corporate milestone, but as a price anchor for this new economic era.

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Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

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