This is f*cking insane when you think about it.

Claude & GPT are literally losing up to $13,800 per subscription per month.

This is the Uber model: Start cheap, get everyone hooked, then hike prices.

You literally have access to the same AI tools as the billionaires.

But it won't last long. So use it while you can.

The stock market bubble won't pop because of real estate, rates, or a bank collapse.

Everyone's watching the public stuff. Nvidia earnings. The Fed. AI capex.

But you can't see the crack forming, because it's not in public markets. It's private.

Private credit is now a $2.3 trillion market. 10x the size of 2009.

A market with no regulator, that has never been through a real downturn.

Meanwhile (see image below), SoftBank just asked banks for $6B against its OpenAI stock to keep funding OpenAI. And hey said no.

The AI flywheel needs borrowed money to keep spinning. And the cracks are already starting to show.

Dudes who got laid off because of AI recently realizing they still haven't even met the dangerous AI yet but already got replaced

“So you bought gold at $5.5k few months ago because you thought it could reach $8k?”

“Yes, Dave.”

“And now you want to sell it at $4.1k to buy the SpaceX IPO at a $1.77 trillion valuation because you think it can 10x?”

“That’s correct, Dave.”

Yeah yeah go ahead dave .

When party ?

Dudes with a $50 portfolio explaining why a SpaceX IPO would be overvalued (they will FOMO buy if it goes higher)

Brace yourselves, it’s SpaceX IPO day.

How neobrother crushes weather markets on Polymarket (Temperature Laddering + Multi-layer low-price entries + Automation)

I went through thousands of his closed positions on Parity - the picture is clear and highly disciplined

At first glance it looks like spamming cheap Yes across a bunch of neighboring buckets. But once you see the pattern - it’s a well-thought-out system that fully exploits the probability range

1. Laddering across the probability range

Instead of betting on just one "most likely" bucket, he buys Yes on 5–8 neighboring temperatures at once (for example, 29°C, 30°C, 31°C, 32°C, 33°C+ in Buenos Aires). All at very low prices - 0.2–15¢

If the temperature lands anywhere in that corridor (which it usually does), one or two buckets explode in tens or hundreds of percent and cover the entire ladder with solid profit

2. Low average entry + strong asymmetry

Most positions are entered at 0.7–3¢. Even if half of them go to zero - one successful bucket going from 0.7¢ to $1 gives +14,000% and easily covers the whole ladder with extra profit on top

3. High frequency across many cities

Buenos Aires, Miami, Ankara, Chicago, New York and many more. Thousands of trades. No human is doing this manually - it’s clearly an automated system that scans forecasts every day and builds these ladders

4. Exploiting the market’s distribution error

The market often overprices one central bucket and heavily underprices the neighboring ones. neobrother simply takes the entire probable range and collects the mispricing across the full width

> What we can say about his system:

• Uses solid forecasts (ECMWF/GFS + possible bias correction) 
• Automatically builds a ladder across the probability corridor 
• Strict focus on low-price entries with broad bucket coverage 
• No huge single bets - all the power is in range coverage and math

neobrother isn’t trying to guess the exact temperature better than everyone else

He built a machine that reliably captures the full probable range and squeezes the maximum out of the market’s structure

That’s why even with a moderate win rate on individual buckets, the overall result stays consistently profitable - one good day easily covers several bad ones

A classic example of how a good understanding of probability distribution + automation creates an edge that’s very hard to replicate manually

View a trader's detailed statistics 👇

predictparity.com/traders/p/@neobrother

Every IPO in history follows the same script: SpaceX won't be different

#WTI/USD H2 #Indicator #Signal #Trading #GlobalOneAI

Dudes who rejected a job at SpaceX to keep making McCafé coffees reading this

I think a lot of people are still underestimating what's happening with $AMPG.

The AI era is already arriving.

And I don't just mean chatbots.

I mean AI controlling the physical world.

You don't want it to be $ERIC or $NOK.

Unless you're European, obviously.

Traffic.

Streetlights.

The power grid.

Cars.

Factories.

Hospitals.

Real-time systems, deciding in milliseconds, out at the edge of the network.

And at the same time, another wave is coming:

Quantum computing.

Machines so powerful they could one day break the encryption that protects almost everything today, banks, defense, communications.

Put those two together and ask yourself:

What do you want that infrastructure to run on?

Because once AI controls the streetlights and quantum can crack the locks, the question stops being "which network is cheapest?" and becomes "who can I trust to build the foundation?"

And the answer can't be Europe.

It can't be China.

It has to be your own.

Domestic.

Auditable.

Trusted.

This is exactly what almost no one is pricing in yet:

$AMPG is the only American company that designs and commercializes the 64T64R Massive MIMO O-RAN radio, the physical layer AI-RAN runs on.

Inside Open6G, the DoD-funded hub.

Already defense-qualified (Lockheed, Northrop, L3Harris, Boeing).

On the quantum side, it's also the only American maker of the cryogenic amplifiers that superconducting quantum computers need to function.

The radio of the future.

The ears of quantum.

Both waves.

One American company.

When AI controls everything and quantum can hack everything, you do not want your foundation built by another country.

That's why this is still underestimated.

Still a sub $1B company.

Not financial advice. I'm long $AMPG. DYOR. 📡

Elon Musk just rang the opening bell for the stock market today at the Nasdaq

Private markets are still pouring capital into robotics.

Simultaneously, many of China’s leading robotics companies are lining up for IPOs.

This is not exhaustive. These are major and recent IPO signals; many more, especially in the supporting stack, are also preparing.

For context, Bloomberg data recently put Hong Kong’s robotics IPO pipeline at 46 companies.

30 Strongest Industry Groups At 1-Month RS (Sorted)

$PEJ — Leisure & Travel
$PPH — Large-Cap Pharmaceuticals
$ITB — Homebuilders
$XHB — Homebuilders (Equal Weight)
$XRT — Retail
$XTN — Trucking
$BETZ — Sports Betting
$KRE — Regional Banks
$KBE — Large-Cap Banking
$XHS — Healthcare Facilities & Services
$IYT — Transportation
$XAR — Aerospace & Defense (Equal Weight)
$ARGT — Argentinian Equities
$ITA — Aerospace & Defense
$PBE — Dynamic Biotechnology
$XPH — Pharmaceuticals (Equal Weight)
$SMH — Semiconductor Giants
$SOXX — Broad Semiconductors
$IHF — Health Care Providers
$JETS — Airlines
$DRAM — Memory
$CNBS — Cannabis
$IBUY — Global E-Commerce
$XHE — Health Care Equipment & Devices
$KIE — Insurance
$FFTY — IBD 50
$ARKG — ARK Genomics
$EWY — South Korea Equities
$QTUM — Quantum Computing & AI
$CIBR — Cybersecurity

The Iran war “ended” the day before the biggest IPO in history, Trump’s birthday, and a UFC card at the White House.

What a coincidence. What timing. Wow.

Elon Musk and SpaceX in 10 years from now

$GRML recently announced plans to acquire the Sarfartoq rare earth project, expanding beyond precious metals into the fast-growing magnet metals market.

The project adds exposure to neodymium and praseodymium (NdPr), key materials used in:
⚡ EV motors
🤖 Robotics
🌬️ Wind turbines
🛰️ Defense technologies

#GRML #RareEarths #EV #CriticalMetal

Why $GRML Is a Story About Timing, Not Just Resources

Large deposits are common. Well-timed strategic assets are not.

$GRML sits at the intersection of rising demand for palladium, gold, and critical metals—plus increasing geopolitical focus on secure supply chains.

The setup is early, but the narrative is building.

#GRML #MiningStocks #ResourceInvesting #EnergyTransition

#GRML/USD H2 #Indicator #Signal #Trading #GlobalOneAI