The U.S. dollar is being steadily debased, and most people feel it before they understand it. Prices for housing, food, energy, and healthcare keep rising faster than wages for many households. This is not primarily the work of greedy corporations or supply-chain accidents. It is the predictable result of persistent fiscal deficits financed by monetary expansion. When governments spend far beyond tax receipts and central banks accommodate the difference, the currency’s purchasing power erodes. History is unambiguous on this point: every fiat currency eventually suffers this fate to varying degrees. The post-1971 dollar is no exception. For a Singapore-based investor, hedging against dollar debasement carries a unique double constraint: The Currency Drag (S$NEER): Because the Monetary Autho

Gold Following a major early-2026 correction back to fair value (~$3,900/oz), gold is positioned for a gradual, upward trajectory through late 2026. Central bank demand, monetary debasement concerns, and ongoing geopolitical risks provide strong structural tailwinds. Tactical volatility remains likely as markets weigh Federal Reserve interest rate expectations. Semis Semis face moderate upside with elevated short-term chop. Hyperscale AI capital expenditures and robust data-center demand supply a solid fundamental floor. However, high valuations, supply-chain normalizations, and potential macro deceleration will keep near-term gains selective, heavily favoring top-tier chipmakers over broader cyclical plays. Stocks Stocks are expected to deliver low-to-moderate single-digit returns fo

 HOOD and IBKR offer contrasting investment cases within the brokerage/fintech space. HOOD is a high-growth, retail-focused disruptor evolving into a financial “super app,” while IBKR is a scaled, automated global platform emphasizing professional trading, low costs, and operating leverage. Both benefit from rising retail and institutional participation, but they differ sharply in valuation, risk profile, growth drivers, and durability. Robinhood (HOOD) Investment Thesis Bull Case   HOOD’s core thesis centers on capturing the next generation of wealth as Millennials and Gen Z enter peak earning years and inherit trillions. Key pillars include: User base and engagement**: 28.4 million funded customers (still growing), with high attach rates for Gold subscriptions (record 4.8

STI recently hit an all-time high near 5,768 (closing) / 5,774 (intraday) in mid-August 2026, now hovering ~5,720–5,736. Banks (DBS, OCBC, UOB; ~57% weight) drove much of the ~24% YTD total return amid strong earnings and wealth inflows. Other majors (e.g., ST Engineering, SGX) also contributed positively. Further upside is possible if earnings growth (~10–12% expected) continues, rates ease, and Singapore’s economy remains resilient (AI, infrastructure, services). Consensus targets and historical patterns after ATHs support moderate gains, though valuations have tightened and profit-taking occurs. Market breadth remains narrow—many non-bank STI stocks lag. Mid-caps (e.g., iEdge Next 50) have underperformed STI YTD (~5–8% vs. 24%), despite rising liquidity, institutional inflows, and SG

Yes, Visa (V) can scale higher. It closed at a new all-time high of ~$382 on Aug 24, 2026. Analysts give a consensus “Strong Buy/Buy” rating with average 12-month targets around $413–$417 (roughly 8–9% upside), and some as high as $450. Drivers include steady double-digit revenue/EPS growth, high margins, share buybacks, and the structural shift to digital payments. Long-term models point to further gains if growth continues. No guarantees—markets fluctuate—but fundamentals support room to run.

Walmart shares took a beating this week after the retail giant posted its slowest U.S. comparable sales growth in six years. Investors weren’t thrilled with the 2.6% comps (ex-fuel) that missed expectations, even though the company beat on revenue and earnings and nudged full-year guidance higher. Management pointed to a couple of culprits: high gas prices tied to the ongoing Iran conflict squeezing lower-income shoppers into trade-offs, and the lingering impact of GLP-1 drugs like Ozempic and Wegovy on how much food people actually buy. The Iran-war-and-fuel story is pretty straightforward. When gas sits above $4 a gallon for months, people notice. Walmart’s CFO basically said you can almost watch the shift in real time once prices cross that psychological line, baskets get tighter. That’

TSMC is still winning the bulk of foundry orders because “having the technology” is only half the battle—execution, trust, yields, scale, and business model matter just as much (or more). TSMC holds roughly 70-73% of global pure-play foundry revenue while Samsung sits at ~6.5-7%. That gap has actually widened in recent quarters despite Samsung’s push on 2nm GAA and some high-profile wins (Tesla AI chips, some Nvidia/Broadcom work, HBM-related logic, etc.). Here’s why the big customers (Apple, Nvidia, AMD, Qualcomm, Broadcom, etc.) keep pouring most of their leading-edge volume into TSMC: 1. Yields and process maturity Samsung has competitive process tech and was earlier with GAA at 3nm, but yields on advanced nodes have lagged. Reports put Samsung’s 2nm around the mid-50s to low-60s perce

I have been watching the Treasury market closely these past few weeks, and the latest move feels like a quiet admission that things are getting uncomfortable at the long end of the curve. Treasury just doubled the size of its liquidity-support buybacks in the 10-to-20-year and 20-to-30-year sectors to at least $4 billion per operation. This comes right after the 30-year yield pushed toward levels we haven’t seen in nearly two decades and the 10-year settled in the mid-4.6% range. On paper, these buybacks are still framed as liquidity tools helping dealers offload older, less-traded bonds. In practice, the timing and the sudden upsizing tell a different story. When yields keep rising even on the day of a scheduled buyback, and Treasury responds by expanding the program off-calendar, it look

Hedge funds pile into the next frontier of AI compute and orbital infrastructure The latest batch of 13F filings, covering the second quarter of 2026, reveals an unusual degree of consensus among the industry’s most closely watched managers. Across multi-strategy giants, long-short equity specialists and concentrated growth funds, a clear thematic tilt has emerged: a decisive pivot towards the physical infrastructure required to sustain the artificial intelligence boom, alongside a fresh embrace of newly public space and advanced semiconductor plays. Citadel Advisors, whose equity book swelled to $875bn, disclosed fresh stakes in SpaceX (now trading as SPCX following its mid-year IPO), Cerebras Systems (CBRS) and Quantinuum. Coatue Management, Altimeter Capital, Point72 and Appaloosa all s

Most retail investors think Warren Buffett got rich purely by picking good stocks. They miss the actual engine under the hood: a stacked leverage model. Its a simple setup, but it compounds viciously when done right. Stack 1: Businesses That Are Short Fiat Currency Buffett’s favorite core holdings—like Coca-Cola or Apple—don't just make profits; they act as a natural hedge against money printing. These companies possess: Pricing power: When inflation hits, they raise prices overnight without losing sales. Low capital intensity: They don't need to sink millions into new factories or heavy machinery just to maintain their size. High returns on capital: They generate massive free cash flow that can be re-invested or handed back to shareholders. Because these assets outpace inflation and requi

Michael Burry has doubled down on his shorts against Micron, Oracle, and Nebius, placing a high-profile bet that the artificial intelligence boom is barreling toward a cliff. His thesis rests on a familiar macro-accounting stick: if tech companies depreciate GPUs over five to six years when the hardware actually becomes obsolete in two or three, the entire neocloud sector is sitting on paper-thin profits. In Burry’s eyes, this is the dot-com bubble all over again, stretched out by creative accounting.   The problem with applying a classic short seller’s lens to this cycle is that it misses the physical realities of the current infrastructure squeeze. Earnings updates from Nebius and CoreWeave highlight pricing dynamics, contract terms, and credit underwriting that directly contra

Most stocks look fantastic when the narrative is hot, but very few actually hold up over a decade. Before committing capital to any company, running it through a strict set of quantitative and qualitative filters helps separate true long-term compounders from expensive hype. 1. Identify a Clear, Structural Moat A company must possess a genuine competitive advantage—whether that comes from high switching costs, network effects, patents, scale, or a structural cost edge. Without a clear moat, long-term returns eventually decay toward the cost of capital. 2. Look for the Moat in Gross Margins If a moat is real, it will show up directly in pricing power and gross margin stability. High and durable gross margins prove that a business can pass inflationary pressures onto customers rather than ab

$NVDA 20260807 260.0 CALL$ buy

Gold prices are trading between $4,170 and $4,230 per troy ounce, rebounding 2% to 3% following a consolidation phase. After reaching historical highs above $5,300 to $5,600 earlier in 2026, the precious metal has settled into a 52-week trading band of roughly $3,300 to $5,600. Despite mid-year volatility, gold maintains a strong year-over-year gain of 22% to 25%, anchored by institutional demand, central bank reserve diversification, and broader structural shifts in the global financial architecture. For Singapore-based investors evaluating gold for portfolio preservation or inflation hedging, understanding both macro demand drivers and local exchange-traded fund (ETF) vehicles is critical for efficient deployment. Macro Fundamentals: Structural Drivers vs. Cyclical Pressures Data from th

Bitcoin has always sold itself as digital gold for the masses. Open to anyone. Unstoppable. Owned by the people. Yet look at the numbers and a different picture emerges. Roughly twenty thousand addresses control about sixty-two percent of the supply. The biggest of those often belong to exchanges, ETF custodians, and a handful of corporations. Still, the concentration is real. And that raises an old question Warren Buffett has asked in different words for years: if only a few large holders matter, who is left to buy when they decide to sell? The optimistic case starts with market structure. Bitcoin trades around the clock on dozens of exchanges. Spot volumes still run into the billions most days, even if they have cooled from earlier peaks. Order books on the bigger platforms can absorb mi

It’s an uncomfortable observation, but a necessary one: the idea of an efficient market starts looking shaky when companies valued in the trillions can move 10% to 15% in a single trading session. A double-digit swing in a $2 trillion to $3 trillion company represents hundreds of billions of dollars in market capitalization appearing or vanishing in a few hours—an amount equal to the entire valuation of legacy giants like Disney or Bank of America. It raises a fundamental question: **Is the market actually pricing new information about business fundamentals, or is it responding to the plumbing of modern capital flows?**  1. Context: What Is Actually Driving the Volatility? To understand why mega-caps move like small-cap growth stocks, we have to look at how modern market structure has

In the final days of July 2026, the air went out of one of Wall Street’s hottest stories almost overnight. Situational Awareness, the AI-focused hedge fund built by former OpenAI researcher Leopold Aschenbrenner, found itself staring down margin calls from its lenders. What had been a spectacular runhundreds of percent returns, assets swelling into the tens of billions ended in a frantic overnight scramble. The firm sold the bulk of its public stock holdings in a block trade to Ken Griffin’s Citadel, preserving some private positions but leaving the once-celebrated vehicle a shadow of its former size. Halfway around the world, the same pressure wave crashed over South Korean retail investors. Many had piled into semiconductor names such as SK Hynix and Samsung Electronics, often with borro

Pullbacks suck. One day everything's grinding higher on AI euphoria, the next you're watching the major indexes drop 5-10% while your portfolio takes a beating. I've lived through enough of these—2022, the 2025 wobbles, and now this latest bout of volatility—to know that sitting there frozen isn't a plan. Options can be a powerful tool here, but only if you use them with discipline. They're not lottery tickets. First, Get Your Mindset Right A pullback isn't automatically a crash. Markets can correct on profit-taking, Fed jitters, or rotation out of overvalued names while the economy stays decent. Your goal isn't to call the exact bottom. It's to protect what you have, reduce risk, or position for the bounce without blowing up your account. Practical Options Strategies for Pullbacks 1. Prot

AI Capex Showdown: Why Microsoft Got a Standing Ovation and Meta Took a Hit I've been watching these tech earnings for years, and last night's reports from Microsoft and Meta delivered one of the cleanest case studies in how Wall Street actually prices AI bets. Both companies dropped monster revenue numbers. Both are pouring tens of billions into the same infrastructure gold rush. Yet the market sent MSFT shares up sharply after hours while hammering META down nearly as hard in the other direction. Let's break it down without the hype. The Numbers Side by Side Microsoft's fiscal Q4 (ended June 30, 2026) came in at $90 billion revenue, up 18% year-over-year and ahead of expectations. Adjusted EPS hit $4.74, crushing the street. Azure cloud growth accelerated to 43%, pushing the annual cloud

Google’s Falling P/E Looks Cheap  But Cash Flow Tells a Different Story A dropping price-to-earnings ratio doesn’t automatically make a stock a bargain. In Alphabet’s case, a huge $98 billion non-cash investment gain inflated reported earnings, creating the illusion of a cheaper valuation. Dig deeper and the reality shows earnings that missed expectations, AI-driven spending that pushed free cash flow negative, and weaker cash generation than investors hoped for. This is classic accounting optics versus actual business performance. Non-cash gains can make the income statement look strong while the cash statement reveals the heavy lifting and capital burn happening behind the scenes. It’s likely a temporary distortion. Google’s core business still has real strengths. But moments like t