Uncle
2.7K posts

Uncle
@UncleTrading
NQ futures trader. Tweets are my opinion & not financial advice. Proverbs 13:22. No Coaching/Discord/Telegram. No prop firm affiliations.
Atlanta, GA Katılım Mayıs 2023
402 Takip Edilen265 Takipçiler
Uncle retweetledi

@alexgoingturbo @TradingLucid Take the money and fund your personal brokerage
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I’ve been called to LIVE on @TradingLucid
Should I take the $9,600 from Lucid now and forfeit the rest or go Live?

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@Emmonspired That doctor looks like they sell a course, have a paid Discord membership, and push supplements that earn them affiliate money.
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@UncleTrading There’s hundreds of live recordings.
Don’t ask, just pick any stream and play it back. You can’t fake live trading.
Monday: 0/1
Tuesday: 2/2 green
Wednesday: no stream, office work
Thursday: 2/2 green
Friday: green
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@BrettSimba Prop firms are discovered to be predatory gambling and a source of financial debt for many Americans. It is mentioned by a member of Congress or other government official. @SenOssoff @SenatorWarnock @RepMcCormick @FINRA
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This Wall Street trader said one thing controls the entire S&P.
Not price action. Not order flow. Not the Fed.
One indicator that 90% of retail traders don't even have on their screen.
Here's why he won't trade without it ↓
Dylan trades at a real Wall Street prop firm. Real desk. Real capital.
He's been using this same edge for years.
"If you stripped this away from me, I would have a hard time analyzing the S&P."
That's a Wall Street trader saying he can't do his job without one tool.
Here's what it does:
It shows you where institutions are actually positioned.
Not where they say they are.
Where their money is.
When it moves, the S&P follows.
It's directly tied to the algorithms.
90% of S&P futures volume is algos.
And those algos trigger buy and sell programs based on this one indicator.
Back in February, Dylan saw it hit a key support level on a Thursday.
The S&P had just failed at all-time highs.
And it had sold off four out of the last five Fridays.
He went long with a 15-cent stop.
6 to 1 R. The S&P dropped for weeks after.
He didn't predict the top. He just read what the market was already showing him.
Simple setup. No clutter. Just context most traders never look at.
--
We broke down his whole strategy and compiled real trade examples.
If you want it in your DMs, just reply "ME" 👇
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@aakashgupta Pretty sure this is Matrix-level stuff. Machines will realize human brains are more efficient at compute and humans just lay in suspended states while their brains power the system.
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We’re spending $200B+ a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week.
Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest.
That compression from 18 months to one week tells you everything about where this is going.
Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales.
The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025.
Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples.
The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute.
The question was never “can it run Doom.” The question is what happens when it can run everything else.
Curiosity@CuriosityonX
🚨: A petri dish of human brain cells just learned to play DOOM
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@TradersConf I’ve spent two years trying to fine tune a fully automated trading bot. And yet, market conditions shift so frequently now that it is hard to train the model on something that is fairly consistent.
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@real_mrctrades Should have stayed. I bet you know the market enough to trade 1 hour in a day and consistently make money. No need to be a trading screen zombie.
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Uncle retweetledi

@Emmonspired Also - if an instrument has more capital trading in derivatives vs the underlying. Then one can manipulate the underlying in order to benefit themselves in the derivative market.
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@UncleTrading there is no singular algo running the market. everything going on is the aggregate of all persons and entities acting in their own self interests
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@Emmonspired I never said singular algo. But there are algo players with enough capital to take advantage of weak order books to move price faster and farther than would happen in normal auction.
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