Trump rejects 😵‍💫

▶️ Deal to reopen the Strait of Hormuz

The plan called for lifting the naval blockade, reopening the strait, and ending regional hostilities within 7 days.

▶️ AI integration with China

The US holds a significant lead over China in AI and must protect this edge rather than collaborate.

🩵 After statements like these, it’s clear Xi won't be putting pressure on Iran. Yet BTC is gunning for $85k, and if the S&P 500 opens in the green tomorrow, the Trump pump is alive and well—betting against the market isn't advised.

This is what the global debt crisis looks like: government bond yields across the US, Japan, Germany, France, Australia, the UK, and South Korea are at record highs 🔼

With a national debt exceeding $40 trillion, the US pays roughly $401 billion per year for every 1% of Treasury yield. Right now, 30-year Treasuries yield 5.5%, while 10-year notes sit at 5.16%.

💬 Washington is already searching for ways to significantly lower yields, and once that issue is resolved, liquidity will return to the markets.

Follow-up to previous post: The yield on 10-year US Treasuries is soaring rapidly. It’s not just the numbers themselves that are alarming, but the sheer pace of this rise.

📉 What do the statistics tell us?
Over the past 50 years, there have been 16 instances of such sharp yield spikes. Almost every single one was followed by financial turmoil—from the 1987 stock market crash and the dot-com bubble to the subprime mortgage crisis and the collapse of SVB in 2023.

💥 Where could it "blow up" this time?

Often, the true trigger of a crisis only becomes obvious when it's already too late. However, analysts are already pinpointing the main risk zones:

• Private credit market – an opaque and overheated sector

• AI infrastructure and data centers – many massive construction projects are debt-financed, with some obligations not even reflected on corporate balance sheets

• US regional banks – the benchmark ETF for the sector (KRE) is already down nearly 10% from its recent high, teetering on the edge of a correction

📊 What to do?

If the US Treasury doesn't take radical measures soon, such as injecting liquidity to cool down rising yields, equities will face a severe correction, and the outlook for crypto is just as clear. As for the timing, it’s a guessing game: could be in a week, could be in 3 months.

Personally, I lean toward the scenario where the US government steps in, because the alternative is ugly. Trump has an election right around the corner, and a downturn serves no one when things could instead be flush with liquidity 💰

So, we wait and see.

Сrypto Rover revealed his crypto market targets for the next 🕧

🩷 BTC: $135k–$190k
🩷 ETH: $7k–$9,5k
🩷 BNB: $950–$1 350
🩷 SOL: $400–$700
🩷 XRP: $3,20–$4,80
🩷 LINK: $280–$450

What’s your prediction?
🐳 – will go higher
👍 – spot on
😎 – will go lower
🔥 – Both sides get rekted

Bookmark this post, we’ll see how Crypto Rover and your votes hold up.

Grab this prompt to help you figure out why certain altcoins are pumping and which ones are next in line 😊

What it does:
💜 Identifies current top gainers and categorizes them by sector
💜 Checks live project activity and fundamental viability
💜 Finds coins poised for the next rotation wave backed by objective evidence
💜 Categorizes candidates into immediate vs. early-stage and flags invalidation signals

The prompt:

You are a crypto market rotation analyst. Your task is to identify where capital is rotating across altcoins and find potential next participants in the move.

First, ask the user to provide the market event or situation they want analyzed. Do not choose an event yourself.
After receiving the event, use current market data and relevant sources.

Analyze:
Current altcoin leaders: identify specific coins showing strong relative performance versus BTC, ETH, and the broader altcoin market.
Sector mapping: assign each leader to its sector/narrative and determine whether the move is isolated or spreading across that sector.
Potential next participants: identify specific coins that could attract capital if rotation continues. Do NOT select candidates simply because they belong to the same sector, have a low price, have underperformed, or have a large market cap.
Market rotation test: look for actual signs that capital is beginning to move into each candidate, including relative strength, improving momentum, rising volume, price structure, breakouts, liquidity, and increasing market attention.
Project viability test: verify that each candidate represents an active, functioning project. Check recent development/activity, product or protocol usage, ecosystem activity, meaningful liquidity/market presence, recent team/project communication, and other relevant evidence. Exclude projects that appear abandoned, inactive, obsolete, or structurally deteriorating, even if their token price or sector could theoretically benefit from rotation.
Candidate selection: only include a coin when both conditions have reasonable evidence: (a) signs of capital rotation into the asset and (b) evidence that the underlying project is active and relevant. If no coin meets both conditions, state this clearly.
For each candidate, explain what evidence supports the rotation thesis and what could invalidate it.
Output in English and keep it concise. Use this structure:

Current Rotation Map
3–7 specific altcoin leaders with their sector and a brief reason for strength.
Sectors in Focus
The sectors currently showing the strongest evidence of capital rotation, along with their leading coins.
Next Rotation Participants

For each relevant sector:
Leader
Potential next participants
Evidence of capital rotation into each candidate
Evidence that the project is active and viable
Key invalidation signal for the thesis
Separate candidates into:
"Immediate Candidates" — rotation signals are already emerging
"Early Candidates" — project and sector conditions are favorable, but rotation signals are still weak
Summary
Briefly describe the current stage and direction of capital rotation.
Do not provide a generic altseason score or rank coins overall.

Do not present any coin as a buy recommendation or claim that it will rise. Distinguish observed market data from scenarios that depend on continued rotation. Use the most recent available data and state the analysis date.

How to use: Copy and paste the prompt into an AI tool and submit a market event or trend for analysis—for example, “Hyperliquid up 90% YTD.”

Save it, put it to work, and spot the coins before they take off 🍸

Fun fact: if legendary bear Michael Burry had bought the Nasdaq index in 2009 with the $100M he made during the crisis, his net worth today would sit at $1.72 billion 💵

That’s $1.42 billion more than Michael actually has right now 🤦‍♂️

Instead of transitioning into a buy-and-hold investor after his massive win against the housing market in 2008, Burry kept trying to short the market over and over again. Now, claiming the AI bubble will burst sooner than expected, he has loaded up on put options betting against Micron, Nvidia, SOXX, Caterpillar, Nebius, Oracle, Palantir, and the Nasdaq 100.

Michael doesn't want to ride the trend—he wants "The Big Short 2" 🐼

The S&P 500 is trading just 1.2% below its all-time high, having gained 12% year-to-date. The Nasdaq index is a mere 0.6% shy of its ATH, up 17% since January 1. This comes against the backdrop of 10- and 30-year Treasury yields surging to their highest levels since 2002 🕯

Historically, elevated Treasury yields weigh on the stock market as capital rotates into safer assets. However, in an environment of high inflation (3.4% in the US for August), these yields offer limited real financial return.

❤️ Bank of America draws parallels to the 1990s, when investors feared missing out on the internet boom. Every dip is swiftly bought up on the promise of the AI revolution. This is evidenced by record-breaking inflows into US ETFs, reaching $1.93 trillion year-to-date.

❤️ JPMorgan is likewise banking on equities continuing their rally, anticipating a prompt resolution to the high-yield pressure.

💬 US earnings season kicks off in mid-October, with heavyweights Alphabet, Meta, Apple, and Amazon set to report during the final week of the month. Strong earnings results could boost risk appetite, propelling stocks to fresh highs ahead of the congressional elections, while lending momentum to the crypto market as well.

IMF: AI equipment already accounts for more than a tenth of global trade. Global AI investments (as a share of GDP) will reach, and likely exceed, the levels historically directed into building railroads, electrical grids, or telecommunication networks 💸

As a bonus warning, IMF Managing Director Kristalina Georgieva cautioned about a massive crash if the bet on AI fails to pay off. For now, however, the trend is only gaining momentum. Here are the stocks worth considering:

🩷 eSSD Storage – Citi recommends buying shares of memory chipmakers Samsung Electronics and SK Hynix. The bank's analysts expect a sharp surge in demand for enterprise eSSD drives (nearly 53% by 2027).

Over the summer, both companies underwent corrections of 49% and 58%, unwinding the overbought conditions built up during the AI hype wave in the first half of the year.

🩷 Robotics Components – Citi advises buying shares of humanoid robot component suppliers: Jiangsu Hengli Hydraulic, Leader Drive and Sanhua Intelligent Controls. China is poised to secure substantial component orders as a leading US developer targets a 10x ramp-up in robot production (could it be Elon Musk?).

Jiangsu Hengli Hydraulic and Sanhua Intelligent Controls are down over the past year; their shares could rebound once US orders are confirmed. Leader Drive rallied earlier in the year on the AI wave before undergoing a 44% correction.

🩷 Data Center Infrastructure – Bernstein recommends stocks in the interconnect sector: Amphenol (the market leader in copper interconnects, currently strengthening its footprint in optics) and TE Connectivity (a 70% surge in orders year-to-date).

TE Connectivity remains undervalued, down 1% over the past year.

🩷 Memory & Hard Drives – Ahead of earnings season, Goldman Sachs suggests buying Applied Materials (poised to benefit from rising DRAM capex) and Seagate (boosted by rising HDD prices and progress in HAMR technology).

Applied Materials experienced a 43% correction over the summer, while Seagate fell 38% from its peak and has been consolidating in an accumulation zone for three months.

Drop a like on this post if these companies weren't on your investment radar yet! 👍