@stockweatherman: Replying to @moonshot6767 Yes, the stock market will have a massive meltdown crash. We are in the final blow off top leg right now. Nothing has changed. #stockmarketcrash #meltdown #update #investor #review

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Wednesday 24 June 2026 21:13:07 GMT

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Comments

that.intel.guy :

Why is a blow off top a certainty? What are other examples of a blow off top? And what was the outcome post blow off, both short term and long term?

2026-08-11 13:10:17

0

Random Commenter :

So when the time is right are you going to clearly say now is the time to sell?

2026-08-11 19:11:30

1

Paco chdc :

are you allocating money to defensive stocks? or just growing liquidity?

2026-08-11 04:16:15

0

Anthony :

This might be one of the best videos you’ve ever made. I don’t know a single other creator who is able to show their credibility this well, so thank you.

2026-06-24 22:53:23

37

Goose :

Where should we put our money once we start collapsing?

2026-06-25 03:14:52

5

illrunthat :

Sorry i am not giving you money

2026-08-04 18:59:34

0

stockweatherman :

So have I been wrong? I accept if I get something wrong. But listening to more than 10 seconds of a video helps.

2026-06-24 21:28:23

13

Ryanpta :

When you predict 80% are you saying the SP 500 will drop to lower than 2000?

2026-06-25 17:26:39

2

clippingKON :

Did you not see palantir and the margins that they have?

2026-08-05 00:38:32

1

user4225836656098 :

I'm a little sketchy on the 80% figure. You can't be saying the S+P is going to 1500?

2026-06-24 22:22:41

8

BDavies16 :

Never be 80%, 15-20 max

2026-06-26 15:29:51

0

Anthony :

im watching your content like a hawk for when you call that blow off top moment

2026-06-24 21:32:10

2

mrcatwantshismeal :

With the potential blow off top. How long you think it will last before it drop? A month, week, or days?

2026-07-31 22:40:58

0

lobstthw9h6 :

The thing I missed during this timeline is that a melt-up and blow-off are indeterminate amounts of time. At the time I was looking for more concrete timing, but you were talking about market phases. I misunderstood.

2026-06-24 21:25:07

4

lazyninjaa :

Do you have fundamental reasons for the blow off? or just techncial?

2026-08-04 02:09:36

0

H.e was right :

Sorry i am not giving you money

2026-08-01 08:54:42

3

🍔 burgers and fries 🍟 :

I'm just now paying attention and learning about stocks at 41 and a pay check to pay check person. idk why anyone would think this isn't going to crash giving how hyped up AI has been then the bad news about how it isn't as great as people are making it out to be. there's so many people trying to get into it that it's over saturated and has so much money coming in. not everyone is gonna make it and there's probably only going to be a few companies that really truly hold the power of it and those companies will only work with other specific companies with long mulit million or billion dollar contracts. I'm waiting for it.

2026-06-25 09:08:41

1

Enzo86 :

Interested in your bitcoin bottom predictions or Solana bottoming out price range

2026-06-26 00:27:31

0

forbidden :

Unc 💪💪💪

2026-06-25 06:19:36

1

Mike777 :

that's y I follow. 😂💪

2026-06-24 23:13:36

4

fakecelfoid :

Do you think it’ll go back up by the end of the year?

2026-07-31 12:13:03

0

Coffee man :

Keep it coming

2026-06-25 13:23:10

2

Big Shawn :

I don't know where they say you were wrong. I've been watching your videos for years and basically everything you said has happened.😆

2026-06-24 21:57:07

3

starfoxzs :

There is one every time... and I am there buying... every... time.

2026-06-25 16:33:29

1

Javier :

Hay tanto que necesito aprender

2026-06-25 01:32:30

2

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$#ball #spiral #funny #balls Graham’s Number: A Deep Dive Graham’s number is one of the largest numbers ever used in a serious mathematical proof. It was introduced by mathematician Ronald Graham in the 1970s while studying a problem in an area of mathematics called Ramsey theory, which investigates how order inevitably appears within large enough structures. Although Graham’s number is unimaginably huge, it is finite, well-defined, and far smaller than many numbers explored in modern logic and set theory. The problem involved coloring the edges of a high-dimensional cube. Graham needed an upper bound on the dimension where a certain pattern must always appear. His original proof produced Graham’s number as a safe upper limit. Later research dramatically reduced that bound, but Graham’s number remains famous because of its extraordinary size and elegant construction. To understand why it is so large, begin with ordinary growth. Addition grows steadily, multiplication grows faster, exponentiation grows even faster, and repeated exponentiation creates power towers. For example, 3^{3^3} is already much larger than 3^3. Mathematicians generalize this process using Knuth’s up-arrow notation, invented by Donald Knuth. One arrow represents exponentiation, two arrows represent repeated exponentiation (tetration), three arrows repeat tetration, and each extra arrow creates a vastly more powerful operation. Graham’s number is built recursively. First define a number g_1 using 3 with an enormous number of up-arrows between two 3s: 3 ↑↑↑↑ 3 This alone is already so immense that writing its decimal expansion is impossible. Next, define g_2 as 3 separated by g_1 up-arrows and another 3. Since g_1 itself is unimaginably large, the number of arrows explodes beyond comprehension. Continue this process so that each new value determines the number of arrows in the next. After repeating this construction until g_{64}, the final value is Graham’s number. Its decimal representation cannot fit inside the observable universe. Even if every particle stored billions of digits, there would still be nowhere near enough space to write the number completely. The number of digits alone is vastly beyond anything physically representable. Despite its enormous size, Graham’s number has interesting properties. It has a definite last digit, which is 7, and mathematicians can compute several of its ending digits using modular arithmetic. This demonstrates an important principle: numbers can be too large to write yet still possess computable characteristics. Many people mistakenly believe Graham’s number is the largest possible number. Mathematics has no largest finite number, because adding one always produces a larger value. Even expressions such as TREE(3), SCG(13), or values arising from the On Numbers and Games framework dwarf Graham’s number by an incomprehensible margin. These numbers emerge from different branches of mathematics involving combinatorics, graph theory, or logic. The importance of Graham’s number is therefore historical and educational rather than practical. It illustrates how abstract mathematical reasoning can naturally produce quantities far beyond physical intuition. Rather than being a curiosity invented for shock value, it represents a genuine milestone in combinatorics, showcasing the extraordinary scale that rigorous mathematics can reach while remaining perfectly precise and logically defined. #polyesteredit$
#ball #spiral #funny #balls Graham’s Number: A Deep Dive Graham’s number is one of the largest numbers ever used in a serious mathematical proof. It was introduced by mathematician Ronald Graham in the 1970s while studying a problem in an area of mathematics called Ramsey theory, which investigates how order inevitably appears within large enough structures. Although Graham’s number is unimaginably huge, it is finite, well-defined, and far smaller than many numbers explored in modern logic and set theory. The problem involved coloring the edges of a high-dimensional cube. Graham needed an upper bound on the dimension where a certain pattern must always appear. His original proof produced Graham’s number as a safe upper limit. Later research dramatically reduced that bound, but Graham’s number remains famous because of its extraordinary size and elegant construction. To understand why it is so large, begin with ordinary growth. Addition grows steadily, multiplication grows faster, exponentiation grows even faster, and repeated exponentiation creates power towers. For example, 3^{3^3} is already much larger than 3^3. Mathematicians generalize this process using Knuth’s up-arrow notation, invented by Donald Knuth. One arrow represents exponentiation, two arrows represent repeated exponentiation (tetration), three arrows repeat tetration, and each extra arrow creates a vastly more powerful operation. Graham’s number is built recursively. First define a number g_1 using 3 with an enormous number of up-arrows between two 3s: 3 ↑↑↑↑ 3 This alone is already so immense that writing its decimal expansion is impossible. Next, define g_2 as 3 separated by g_1 up-arrows and another 3. Since g_1 itself is unimaginably large, the number of arrows explodes beyond comprehension. Continue this process so that each new value determines the number of arrows in the next. After repeating this construction until g_{64}, the final value is Graham’s number. Its decimal representation cannot fit inside the observable universe. Even if every particle stored billions of digits, there would still be nowhere near enough space to write the number completely. The number of digits alone is vastly beyond anything physically representable. Despite its enormous size, Graham’s number has interesting properties. It has a definite last digit, which is 7, and mathematicians can compute several of its ending digits using modular arithmetic. This demonstrates an important principle: numbers can be too large to write yet still possess computable characteristics. Many people mistakenly believe Graham’s number is the largest possible number. Mathematics has no largest finite number, because adding one always produces a larger value. Even expressions such as TREE(3), SCG(13), or values arising from the On Numbers and Games framework dwarf Graham’s number by an incomprehensible margin. These numbers emerge from different branches of mathematics involving combinatorics, graph theory, or logic. The importance of Graham’s number is therefore historical and educational rather than practical. It illustrates how abstract mathematical reasoning can naturally produce quantities far beyond physical intuition. Rather than being a curiosity invented for shock value, it represents a genuine milestone in combinatorics, showcasing the extraordinary scale that rigorous mathematics can reach while remaining perfectly precise and logically defined. #polyesteredit

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