Tour du monde du SOMMET

The Great Divide: India Sprinting, Tech Soaring, Crypto Finding Its Way

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En résumé

Indian growth, Japanese stock market records, and tech repositioning: a roundup of the week's market benchmarks to understand the economy without jargon.

Imagine a gym. On the treadmill, India sprints at +7.6%. Next to it, Germany walks slowly at +0.2%. Same planet, same week, two paces. That's the common thread of the past seven days: the world doesn't turn at the same speed depending on where you set foot.

This weekly world tour gathers the main market benchmarks — growth, rates, indices, moves by the big funds and cryptos — to help you read economic news without jargon. The data comes notably from the World Bank, the BIS, the IMF, Yahoo Finance, 13F filings submitted to the SEC and CoinGecko.

The treadmill: who sprints, who gasps

Growth is the size of the cake a country makes in a year. The higher the figure, the more activity is running. A bit like the number of customers walking into a store: the more there are, the more the register rings.

  • India: +7.6% — the fastest pace on the board.
  • China: +5.0%, Brazil: +2.3%, United States: +2.2%.
  • Germany: +0.2%, France: +0.8% — the slowest of the major economies tracked.

One detail is intriguing: India sprints, but its stock index, the Nifty 50, is down -7.0% over one year. A fast-moving economy doesn't guarantee a rising stock market. The two gauges are separate, like a car's engine speed and its odometer: they tell two different stories.

To go further: policy rates tell the same story. Policy rates are the price of money set by the central bank — the tap that regulates the cost of credit across an entire country. Brazil holds 15% to curb inflation at 5.2%. Switzerland is at 0%, with inflation at 0.2%. Each central bank sets its thermostat according to the local temperature.

And while some are running, others are watching the clock with concern. To understand how to read these major economic events, the glossary and country profiles of the JARVIS Trading Institut blog are a good starting point.

The weather report: nothing new under the sun

Every week, we expect major figures: inflation, employment, central bank decisions. This time, no major announcement came out. The sky is calm.

Why does it matter anyway? Because markets don't react to the figures themselves, but to the gap between what comes out and what was expected. A figure right on target makes people shrug. A figure that surprises moves the lines. It's the difference between a package delivered at the expected time and a package arriving two days early or late: only the deviation from schedule triggers a reaction.

This week, no surprise. No jolt. We breathe.

As a result, all the attention shifted to the indices.

The podium: a Japan on fire, an Australia lagging behind

A stock index is a basket of several dozen or hundreds of stocks that gives an overall picture of a market. Over one year, here are the extremes.

  • Nikkei 225 (Japan): +45.0% — the biggest gain on the board.
  • Bovespa (Brazil): +26.3%, S&P/TSX (Canada): +20.4%, SMI (Switzerland): +17.4%.
  • Nifty 50 (India): -7.0% — the weakest performance over one year.

This month, the trend reverses a bit. The Bovespa gains +3.4%, the Nikkei +0.1%. Conversely, the Australian ASX 200 loses -4.5% and the Nifty 50 -3.9%.

Concrete translation: out of €100 placed on the Nikkei a year ago, you're looking at around €145 today. On the Nifty, you're looking at roughly €93. Same stake, two very different realities.

These big moves are often driven by the same hands. Which ones?

In the big funds' shopping cart: tech is doing its groceries

The 13F is the receipt that the big investment funds must file each quarter with the SEC, the watchdog of American markets. It shows what they have in their basket, in full transparency.

This week, the picture from the most recent filings gives this:

  • Alphabet in the lead, held by 10 funds.
  • Amazon held by 8 funds.
  • TSMC, Meta and AMD held by 7 funds each.
  • Broadcom held by 6 funds, then Apple, Nvidia, Microsoft, Lam Research, Sea Ltd, Capital One, Reddit and a few ETFs held by 5.

An ETF is a basket of stocks you buy in a single move, like a pre-assembled lot at the supermarket. The funds' basket clearly leans toward technology. A simple image: it's the aisle that attracts the most carts in the store.

The entries/exits comparison will come with the next filing — for now, we're looking at the photo, not the movie. One methodological point: observing what the big funds do is not a buy recommendation. It's one piece of information among others, to be placed back into a context and a personal strategy.

It remains to be seen how these names behave in the shop window.

Zoom on the shop windows: very different journeys

Four stocks stand out from the funds' basket. Their trajectories have nothing in common.

  • AMD: $630.63, at -1% from its 52-week high, and +295.5% over one year. The fastest wagon.
  • TSMC: $450.61, at -6% from the high, and +64.8% over one year.
  • Alphabet: $343.92, at -16% from the high, and +39.5% over one year.
  • Meta: $751.66, at -4% from the high, but only +1.1% over one year.

The "52-week high" is the peak reached over the past twelve months. Being at -1% means walking just under the roof. Being at -16% means having room under your feet — space to breathe, but also a distance to cover to get back to the top.

These levels are to be observed to understand where the market stands, without knowing what tomorrow will bring. That's precisely the stance of an analytical framework: we read the information, we don't turn it into a bet.

And if we left the classic stock market for rougher terrain?

The digital far west: XRP leads the dance

Over seven days, the crypto ranking has an unexpected leader: XRP at +9.1%. Solana follows at +8.6%, Bitcoin at +3.6%.

Conversely, TRON is down -0.2% — almost nothing, but it's the only one on the board in the red for the week.

Watch out for the wide angle. Over one year, the picture changes completely:

  • Bitcoin: $84,161, but -22.8% over 12 months.
  • Ethereum: $2,689, -30.9% over 12 months.
  • XRP: $1.55, -43.0% over 12 months.

A good week doesn't erase a difficult year. Cryptos are the roller coaster: they go up fast, they come down fast. Stablecoins (USDT, USDC), on the other hand, stay glued to $1.00 — that's their job: to stay stable, like a fixed marker on a carousel that keeps turning.

What that changes for you: if you have savings exposed to these assets, the week was gentler than the year. It always depends on the window you're looking through. And it's a truth that few beginners absorb early enough: a 7-day performance says almost nothing about an asset's solidity over time. Looking at a single figure is like judging a movie on a single frame.

To follow these assets within an educational framework — courses, weekly reports, with no buy or sell recommendation — the investment journal on the JARVIS Trading Institut website (section /investir) gathers stocks, ETFs and crypto.

Key takeaways this week

  • India runs the fastest (+7.6%), but its index is down (-7.0% over one year).
  • The Nikkei 225 remains the stock market champion over 12 months (+45.0%).
  • No major macro announcement: a calm week on that front.
  • The big funds keep tech in their cart, Alphabet in the lead.
  • XRP leads crypto over 7 days (+9.1%), despite a year at -43.0%.

The real lesson: read several clocks at once

The most useful lesson of this week isn't a figure. It's a method of reading: the same market can be bullish over one window and bearish over another. India is the perfect example — growth at the top, index at the bottom. Crypto too — XRP gains over 7 days, loses over 12 months.

Our view, assumed and strictly educational: most beginners lose money not because they lack information, but because they look at only one piece at a time. They see "+295% over one year" and forget that the same asset may have seen 30% drawdowns along the way. They see "-43% over one year" and conclude that "it's over," even though the week says the opposite. The uncomfortable truth: no past performance, over any timeframe, predicts the next one. This isn't an opinion, it's a basic rule.

What distinguishes a trader who lasts from a trader who burns out isn't the quality of their information — everyone has access to it. It's discipline: a clear method, risk management defined in advance, a journal that keeps track of every decision. That's exactly the framework offered by the JARVIS METHOD, an educational tool reserved for members. To discover the approach as a whole, the complete and structured training program (with bootcamps, mentoring and events) is the natural entry point.

The trading journal in the members' area — screenshots, results, mini psychological test — lets you turn each market week into a concrete lesson, rather than a simple news read. That's where progress is truly built.

💡 Concrete case

Let's take a numerical example, purely for educational purposes. A trader earns €3,000 per month in gains via a prop firm (a company that lends its capital in exchange for a share of the profits). Depending on their status — sole proprietorship, company, etc. — and after contributions, taxes and any share paid back to the firm, they're left with an order of magnitude of €1,800 to €2,400 net per month. The exact amounts depend on the tax rules in force and the contract with the firm: to be checked case by case. The important thing here isn't the figure, but the reflex: what matters is never the gross gain displayed, it's what's left after everything.

Coming up

The next 13F filing will bring the entries/exits comparison among the big funds. And the next macro announcements will tell whether the calm continues. To miss nothing, the morning market brief and the plan of the day are available via the JARVIS Telegram assistant, and the JARVIS Readings offer in-depth economic analyses every week.

This content is strictly educational and informational. It constitutes neither investment advice, nor a buy or sell recommendation, nor a price forecast. Trading involves a risk of capital loss. Past performance does not predict future performance.

🤖 Rédigé avec l'aide de l'intelligence artificielle, sous la responsabilité éditoriale de Roussel Thermidor (JARVIS Trading Institut). Contenu pédagogique — pas un conseil en investissement.

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