MB Black Zero

Learning Crypto & Forex Trading 📈 in public 💕 Scalping • Discipline • Daily lessons.
Target: mastery by end of 2026 🎯”

[MB Black Zero @kingtrader3ki]

January 1st - I am Starting My Crypto & Forex Trading 📈 Journey as a beginner today. No Shortcuts 😊 From Noob to Pro by 31 Dec 2026 .I will thank myself 💕 after 1 year for starting now.

[DAN KOE @thedankoe]

https://t.co/7l7Jef99QZ

[Claude @claudeai]

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use.

Its capabilities exceed those of any model we’ve ever made generally available.

[Manish Kumar @manishkhosiya]

BREAKING: Claude can now run Stock Market research like a top consulting firm (for free).

Here are 10 Claude prompts that replace $100K/year stock analysts (Save for later)

[懂币猫 @dongbimao]

#纳指 #美股

昨晚纳指最高跌了4个多点，太舒服了，太兴奋咯

这是CPI提前泄露了
已经提前跌出了安全垫？

好多强势个股根本没跌，加入自选重点关注，纳指反攻时他们翻倍翻倍的涨

[Arya Deniz @Arya__Deniz]

Then there was the vaunted Soros self-confidence.

When Soros believed he was right about an investment, nothing could stop him. No investment position was too large. Holding back was for wimps. The worst error in Soros's book was not being too bold, but too conservative. "Why so little?" was one of his favorite questions.

Soros: The World's Most Influential Investor - Robert Slater

[Ray Dalio @RayDalio]

https://t.co/WTy8hynCmb

[逍遥XTony（恩师张雪峰） @xtony1314]

托尼老师从来不瞎喊单，65580平所有空，67100开回空单，说吃了2%差价空单继续开回，就开回。

这次总仓位只有600W刀，还有100W刀在另一个账号里。

让我们为暴跌窒息！！！😋😋😋

[狮国游民 @SgLittlesmart]

这 1 小时采访，值得反复听。
受访者是一位顶级数学家投资人，
创造了 1000 亿美元以上财富，
平均回报率高达 66%。

很多人认为，
他的认知深度甚至超过巴菲特、索罗斯和达利奥。
里面的投资知识， 比 20 万美元 MBA 还值钱。

先收藏，再书签。 无论如何，听完它。

[CBB @Cbb0fe]

If you stayed bullish on crypto after 10/10, it may be time for a brain scan.

[Brandon Hong @brandank_cr]

Every billionaire fund manager I know told me not to post this.

This is the only video online that gives every detail of my positions & trading system that has publicly generated 9 figures in returns this year

And anyone can replicate it.

The industry standard has always been to gatekeep alpha, but I believe in returning the same value that I've been given by mentors over the years

The AI trade is too generational for me not to help as many as possible achieve insane wealth

[0xDipper @Dipper_pol]

Nassim Taleb on a bet most people would take: 70% chance to win $1, 30% chance to lose $1 - should you bet?

His answer: in most cases no. Not because of risk aversion. Because it's a bad strategy in multi-period reality

Same Kelly Criterion math that powers Shannon's information theory - there's a sweet spot, and most behavioral finance papers ignore it

Bet too much and the law of large numbers ruins you. Bet too little and you leave returns on the table

this is what every quant learns before they touch capital

[Milk Road AI @MilkRoadAI]

The man who turned $225 million into $13.7 billion told you something most people still haven’t absorbed (Save this).

And this video is from before any of it played out the way he said it would.

GPT-2 was released in 2019, a model so brittle that OpenAI withheld it for months out of concern, and that could barely hold a coherent paragraph before veering into nonsense.

Four years later, GPT-4 arrived and scored in the top 10% of bar exam takers, passed the medical licensing exam and performed at expert level across standardized tests that GPT-3.5 barely cleared at median.

That is a preschooler to smart-high schooler jump in four years and Aschenbrenner’s entire thesis is that another jump of exactly that magnitude, on the same timeline, gets you to AGI.

The part of the clip that is both funny and devastating is the $20/month observation.

Aschenbrenner calls out Ross Douthat, one of the most prominent opinion writers in the country for complaining that ChatGPT couldn’t pronounce his name, then using that as evidence that the singularity wasn’t imminent.

What Douthat had used was the free tier. GPT-3.5, the little green icon, not GPT-4.

The deeper point is not funny at all, the most influential voices in culture were forming their entire worldview on AI’s capabilities off a degraded, rate-limited product that was already two generations behind what researchers were actually working with inside the labs.

The benchmarks now fully vindicate the trajectory Aschenbrenner was describing.

Stanford’s 2026 AI Index Report found that on SWE-bench Verified, a real software engineering benchmark performance jumped from 60% to near 100% in a single year.

Old benchmarks kept getting retired because frontier models maxed them out faster than new ones could be designed.

The 2025 retrospective on Situational Awareness found his core predictions compute scaling, capability jumps, and the timing of AI displacing knowledge workers had largely tracked ahead of schedule.

Then he put his money behind it in the most direct way possible, and the fund grew from $225 million to $13.7 billion in AUM.

His core bets were on the physical infrastructure layer of AI, power, compute, and the companies building the backbone of the trillion-dollar cluster he described precisely in that video.

Nebius with 684% year over year revenue growth, sold out GPU capacity, and a $17.4 billion Microsoft contract is the clearest pure-play expression of that infrastructure trade in public markets today.

He just filed to disclose a 5.6% stake: 12.4 million shares.

Nebius is a core Milk Road position, and our subscribers are up massively.

Come join Milk Road Pro to get our full thesis, link below!

[Koroush AK @KoroushAK]

I’ve been trading for 9 years.

146 days into 2026 I’ve released 18 of the most comprehensive trading articles I’ve ever written.

They will help you make it as a trader.

(1/19)

↓

[Crypto Tony @CryptoTony__]

Leopold Aschenbrenner is literally giving you insider trading info RIGHT NOW

He turned $225M into $5.5B in less than 12 months

In 2025 he bought:

$BE at $18 & is now $297
$LITE at $59 & is now $935
$SNDK at $42 & is now $1,466

Now in 2026, he’s telling you to buy:

1) Applied Digital $APLD

2) Bloom Energy $BE

3)CleanSpark $CLSK

4)CoreWeave $CRWV

5)Intel $INTC

6) IREN $IREN

7) Keel Infrastructure $KEEL

8) Micron $MU

9) Riot $RIOT

10) Sandisk $SNDK

11) T1 Energy $TE

12) Taiwan Semiconductor $TSM

Don’t miss out on a generational run to early retirement

[swarmik @swarmister]

I checked out the most profitable accounts on Hyperliquid, the ones raking in tens of millions.

Virtually all of them operate the same way: shorting volatility and using delta-neutral options on major currency pairs. That’s all there is to it.

People are making hundreds of millions a year with this basic setup. Just on HL alone.

And here we are, all thinking about strategies. Lol.

[Displacement Trades @iamdisplacement]

This is Bruce Kovner.

He borrowed $3,000 on a credit card and turned it into $80 million in 10 years.

Here's his trading philosophy

[Mike Investing @MrMikeInvesting]

Leopold Aschenbrenner is literally telling you what stocks to buy before they squeeze.

He turned $225M into $5.5B in just 12 months.

In 2025 he called out:
$SNDK at $42 & is now up 3,200%
$BE at $18 & is now up 1,500%
$LITE at $59 & is now up 1,400%

This time around for 2026 he’s bullish on:
1. $TE ~ T1 Energy
2. $IREN ~ Iren Limited
3. $HIVE ~ Hive Digital
4. $CRWV ~ CoreWeave
5. $RIOT ~ Riot Platforms
6. $CLSK ~ CleanSpark

These stocks can easily be the next to 5-10x within months.

Don’t miss out again…

[Сarm1ne @carm1nee]

He invested $25 million and turned it into $4 billion, then the Russian government stole $230 million in taxes his fund had paid

this is him telling the full story at Stanford

it started with $4,000 in Polish stocks that went up 10x in 12 months. he quit Salomon Brothers, started his own fund, was up 800% in 18 months

"clients were inviting me to their yachts. I was in my early 30s. I thought I'd figured it all out"

then Russia defaulted. his $1 billion went to $100 million in one day - "there were no more yacht invitations after that"

[Koroush AK @KoroushAK]

Charlie Munger: "One of my favorite tricks is the inversion process."

Let's apply the inversion process to trading.

How would I garauntee I fail for as long as possible?

1. Never keep a trade journal
2. Blame losses on luck
3. Attribute wins to skill
4. Follow signals groups, rely entirely on influencers
5. Start out trading high time frames so you learn as slow as possible
6. Use max leverage and max position size on every trade
7. Trade alone, no mentors and no community
8. Don't write down your strategy, vibes only
9. Trade all market conditions
10. Pay no attention to your health

[Сarm1ne @carm1nee]

Ken Griffin started the most profitable hedge fund in history with $265k, this is him explaining how he built it into a $67 billion empire

he explains why 90% of hedge funds will die, how he bailed out Amaranth with JP Morgan, reshaped the entire US options market

And what it was like losing $15 million in a single day

"if you're no longer on your game, we don't have room for you on the team. it's like a professional sports team"