What caused the gold crash? The chain reaction currently driving gold is: War → Oil up → Inflation risk → Rate cuts delayed → Bond yields & USD up → Gold down Recent reports confirm gold fell sharply because rising oil prices increased inflation fears and reduced expectations for interest-rate cuts, while a stronger USD and higher bond yields made gold less attractive.  There is also another important factor: Liquidity selling. During market stress, investors sometimes sell gold to cover losses elsewhere, so gold can fall even during geopolitical crises.  So this crash is macro-driven, not gold fundamentals collapsing. --- Is this a regime change or just a correction? Important perspective: Gold peaked ~ $5,600 Recently dropped to around $4,100–4,300 That is about a 25% corre

The conflict has shifted from military targets to energy infrastructure, which is extremely serious for global markets. Why oil and gas are surging Several major developments happened: Strikes on oil refineries, gas fields, LNG facilities Threat to close the Strait of Hormuz About 20% of global oil and LNG supply passes through Hormuz Damage to gas infrastructure and LNG exports already reducing supply This is why oil moved above $110 and gas surged. The situation is being described by analysts as the biggest energy disruption since the 1970s oil crisis.  This is not a normal geopolitical event anymore. This is becoming an energy war. --- Macro impact on markets (very important) This situation affects all asset classes: Asset Impact Oil Up Natural Gas Up Inflation Up Interest rates St

1. Clearing the Trash: Investment Pitfalls in 2024 i. Overconfidence in speculative assets. ii. Neglecting diversification. 2. Assets Investors Should Avoid in 2025: i. Overleveraged companies or industries vulnerable to economic downturns. ii. Speculative investments without clear fundamentals or realistic growth prospects. iii. Companies or sectors with declining demand or excessive regulation risks. 3. Investment Plan for 2025 Core Investment Strategies: i. Diversification: Building a balanced portfolio across asset classes, including stocks, bonds, and real estate, to mitigate risks. ii. Low-cost broad market index funds iii. Fixed-income assets: Allocating funds to bonds or treasury securities for stability in a high-interest-rate environment. 4. Emerging Opportunities for 2025: AI an

Owning NVDA can help you grow wealth, but it’s not a guaranteed path to becoming a millionaire. NVIDIA dominates AI and chips, with strong revenue and earnings growth, plus bullish analyst targets—but much of that optimism is already priced in. High valuation, export risks, and market volatility mean overexposure is risky. The smarter route is to include NVDA as part of a diversified portfolio—say 10–20%—while investing consistently in broader assets like ETFs or index funds. Becoming a millionaire depends on your savings rate, time horizon, and risk control, not a single stock. In short: NVDA can accelerate wealth, but discipline and diversification build it sustainably.

You’ve raised an important question — one many investors are asking now: if tech’s leadership is cooling, could “old-giant” sectors really resume the mantle? Below I’ll provide a reasoned, professional take in three parts: what supports a rotation to traditional industries, when that might be a temporary rally versus a broader shift, and which traditional sectors may have the most upside potential this year. --- 1. Is this merely a temporary rally or the start of a broader shift back to classic winners? Support for a broader shift The theory of “sector rotation” says that as the economy (and market) passes through different phases, capital tends to shift from sectors that have run hard into those that were out of favour.  Recent flows and headlines appear consistent with a rotation aw

1. Fundamentals vs Market Reaction AppLovin • AppLovin reported excellent Q4 results: revenue ~US$1.66 billion (+66 % year-on-year) and net income +84 % to ~US$1.10 billion, with adjusted EBITDA up ~82 %. These outcomes beat expectations and point to strong earnings quality and profit margin expansion.  • Management also guided for continued sequential revenue growth in Q1.  • Despite this, the shares fell sharply on earnings day. The decline reflects investor concern rather than lack of operational performance. Palantir • Recent price weakness in PLTR is part of a broader pullback in software and technology stocks. Reuters and market sources have noted Palantir among software names with significant drawdowns as sentiment deteriorated.  Implication: The divergence between st

NVIDIA’s current momentum certainly supports a bullish case toward the $200 mark, though a few key factors deserve consideration. --- 🔹 Bullish Arguments 1. AI Infrastructure Dominance: NVIDIA remains the backbone of AI computing. With Huang emphasizing inference as the next growth engine, the company is poised to capture sustained demand from cloud providers (e.g., Meta, OpenAI, Microsoft) and emerging AI players. 2. Ecosystem Expansion: Partnerships such as CoreWeave’s $14.2B deal with Meta validate NVIDIA’s platform as indispensable in hyperscale AI deployment. The company’s Blackwell architecture and upcoming GB200/GB300 systems may drive another revenue inflection. 3. Technical Strength: The stock’s four-session winning streak signals strong institutional accumulation. If it holds abo

Alphabet’s aggressive capital programme signals one clear message: scale will decide the AI hierarchy. 1. Why borrow when cash is abundant? Alphabet holds substantial liquidity, yet tapping global debt markets achieves several objectives: Locks in long-duration funding before rates potentially reprice higher Preserves cash flexibility for acquisitions and strategic pivots Optimises capital structure while debt remains comparatively cheap The 100-year GBP issuance is particularly strategic. It reflects confidence in long-term cash flow durability from Search, Cloud, and AI infrastructure. 2. What is the $185B funding? Primarily: Data centres and hyperscale expansion Custom silicon such as TPUs AI infrastructure to defend Search and accelerate Cloud Model training and inference capacity This

It is a huge story, but I would treat it as very exciting, not yet fully certain. Reuters reported yesterday that SpaceX is aiming to file its IPO prospectus later this week or next week, citing The Information. Reuters also reported earlier that SpaceX had been weighing a confidential filing that could value it at more than US$1.75 trillion, with the xAI acquisition having lifted the combined valuation to about US$1.25 trillion already.  If the IPO really targets US$75 billion, that would indeed exceed Saudi Aramco’s record IPO size by a very wide margin. Several outlets are reporting that range, but it still appears to be based on reporting and unnamed sources rather than a filed prospectus that investors can read today.  My view: At US$1.75 trillion, I would not “blindly join”

This is actually a very important debate for the entire AI semiconductor supply chain, not just memory stocks like Micron Technology, SanDisk, Western Digital, and Seagate Technology. The key question is simple but very powerful: > Does AI efficiency reduce hardware demand, or does it increase total usage? Historically in tech, the answer is usually the second one. --- What TurboQuant actually affects From what analysts are saying, TurboQuant mainly: Optimises KV cache Improves inference efficiency Reduces memory per query Does NOT reduce training memory Does NOT reduce HBM demand significantly Mostly affects inference VRAM / system memory So Morgan Stanley’s view makes sense: HBM (used in training GPUs) should not be heavily affected. This means companies most exposed to HBM and AI tra