To The Moon

Kevin Warsh’s debut as Federal Reserve chair sent an unmistakable signal: the easy-money era is over. The central bank held its benchmark rate steady at 3.5% to 3.75%, but the updated projections told a different story. Nine officials now see at least one rate hike this year, a sharp pivot from earlier expectations of cuts. Sticky inflation, hovering near 3.6% on core PCE measures, driven by resilient growth, energy pressures, and lingering geopolitical tensions, has forced even patient policymakers to reconsider. I have followed monetary policy long enough to respect this shift. Warsh, known for his hawkish leanings, is confronting an economy that refuses to cool on schedule. Higher-for-longer rates or potentially higher rates raise the cost of capital across the board. That matters profo

No, AI won't fully offset higher rates. Warsh's Fed held rates at 3.5-3.75% but shifted dots toward hikes amid sticky inflation (~3.6% PCE forecast) from energy/geopolitics and resilient growth. AI drives record highs via massive capex ($500B+ in 2026 for hyperscalers) and earnings in tech/semiconductors, powering S&P concentration. Yet higher rates raise borrowing costs, pressure valuations, and risk a pullback if productivity/ROI lags. Markets are resilient but vulnerable to rotation or correction if AI hype meets reality. Diversify; expect volatility.

The AI boom has driven extraordinary gains in a small group of mega-cap technology stocks, often referred to as the Magnificent 7. These companies have dominated major indices like the S&P 500, accounting for a disproportionate share of recent market returns through investments in chips, data centers, cloud computing, and AI infrastructure. While the long-term potential of artificial intelligence remains significant, elevated valuations, high concentration risk, and uncertainty around the pace of real-world monetization have many investors concerned about a possible correction or sharp unwind in the "AI trade." If your portfolio relies heavily on broad market ETFs such as those tracking the S&P 500, you may have unintended overexposure to these AI leaders. In such a scenario, an AI

It's a dip worth buying on weakness, not a falling knife. This pullback tests support but doesn't break the structural bull case: central bank buying, geopolitical risks, and long-term forecasts from JPM (~$6,000+ by end-2026) remain intact. DBS's new tokenized physical gold (1g tokens, redeemable, vaulted in Singapore, launching H2 2026) improves accessibility and signals institutional confidence in sustained demand For long-term holders/investors: Accumulate on dips near $4,000 support. Short-term traders should wait for stabilization. Gold's history shows sharp corrections often precede new highs.

As 2026 unfolds, SpaceX, OpenAI, and Anthropic are poised for massive public debuts—potentially the biggest IPO wave in tech history. These companies promise transformative technologies: reusable rockets and Starlink broadband from SpaceX, and frontier AI models from OpenAI and Anthropic. But they face enormous capital demands for scaling compute clusters, energy infrastructure, data centers, and global operations. The central questions are how they will scale efficiently, monetize their products sustainably, and achieve genuine profitability—or whether they will need to dramatically raise subscription prices. History offers a warning: venture capital-fueled price suppression can mask underlying economics until the music stops. Scaling Challenges: Capital Intensity on Steroids All three co

As a keen student of both AI systems and capital markets, I've watched the shift from traditional software economics to the token economy with fascination. What once looked like a straightforward SaaS evolution has become something far more fundamental: a new operating system for monetizing intelligence itself. The implications for investors are profound and many are still pricing AI companies through an outdated subscription lens. In classic SaaS, you paid a monthly fee for access. Revenue was predictable, gross margins were high once the product was built, and success showed up in net revenue retention and low churn. Generative AI upended that. The dominant model is now token-based pricing—paying for every chunk of computation consumed. A token is roughly three-quarters of a word, but th

You’ve hit on the exact tension I’ve been mulling over lately. It’s that classic late-stage technology buildout dilemma: the staggering gap between capital consumed today and actual cash generated tomorrow. We are living through the largest infrastructure sprint in human history. The aggregate 2026 capital expenditure (CapEx) for just the top tech giants is tracking toward $660 billion to $690 billion, on its way to a global $1 trillion cloud buildout. The market has funded this on absolute faith, pricing in pristine margins and flawless execution. But while the infrastructure layer is raking it in, the actual software and enterprise AI revenue moving the needle is just a fraction of that spend. If enterprise adoption hits even a minor speed bump, that massive CapEx turns into a heavy depr

We’ve officially crossed the Rubicon into Bitcoin’s corporate era, and I’m having a hard time deciding whether to pop champagne or brace for impact. Don't get me wrong—watching Wall Street eat its own words after a decade of calling Bitcoin "rat poison" is deeply satisfying. The fact that MicroStrategy (or Strategy, as they’re calling themselves now) is sitting on over 840,000 BTC, and the spot ETFs have swallowed up another 1.2 million coins, is wild. It completely validates the scarcity thesis. But let's be real: this level of supply concentration is turning Bitcoin into something very different from the sovereign, cypherpunk asset we started with. When you have a handful of giant entities controlling 10% to 18% of the liquid supply, the market mechanics change. We’re already seeing it.

$NVDA 20260605 200.0 PUT$ full premium at expiry 

As a seasoned investor , I have learned that markets rarely hand out clear signals. But every so often, the tape speaks with unmistakable clarity. We are witnessing a major shift in risk right now. The Nasdaq dropped 4.77% in a single session while the VIX the market’s premier fear gauge—surged nearly 40%. At the same time, bonds faced heavy selling pressure, driving yields higher and dragging precious metals below their key 200-day moving averages. This is not random noise. It is a coordinated repricing of risk across asset classes, and it suggests that many of the comfortable assumptions investors have relied upon for years are coming unhinged. What the Numbers Are Telling A nearly 5% drubbing in the Nasdaq, home to the world's most expensive growth stocks, paired with a violent VIX spik