David Siegel made $8,000,000,000
Without drawing a single support line on a chart
His fund Two Sigma runs 10,000 live signals through neural networks simultaneously
Not to predict the future
To compute mathematical expectation before anyone else does
EV = (P_true - P_market) × Payout
If that number is positive - they enter
If not - they wait
That's the entire edge
Watch him explain why AI is eating Wall Street
Then read the exact framework below on how to apply this to Polymarket today
Honestly, what more can I say? I’ve been a member for 30 years.
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@SatoshiCfB#Bitcoin whales should stop trying to frame me. Otherwise the #Qubic quorum may decide to mine $BTC after $DOGE and we don't know how it will affect wealth of those whales.
A lot of buzz after the first chapter of Market Wizards about Qullamaggie.
I’m sharing a link with 1000+ qullamaggie style charts .
Look at:How the stock moves
Where it pauses ,Where it breaks out ,How trends repeat.Go chart by chart. That’s how you start seeing patterns.
If you find this valuable, please retweet so it reaches more people 🙌
Link - https://t.co/vCbCjzjtjc
Those who understand ANNs well may think it's not a big deal. And they'll be wrong. Because #Aigarth is developing a paradigm capable of creation of #AI solving any task. This means Artificial General Intelligence.
After discovering that anti-attractors enormously reduce energy requirement for creation of #AI, #Aigarth has discovered another technique reducing amount of energy even further. It's keeping parameter space dimensions count constant. This means choosing number of neurons and synapses in the very beginning and never changing it.
#Qubic
A great global macro research service for only $149 per year
@jonbking of The Factor Report staff produces the best deal on the planet dealing with macro factors affecting crypto and ETFs.
He is all over this move in $EWZ
https://t.co/y3Fq2ilOPb
That's just his opinion, the reality is different, below is another opinion which is closer to the reality because it explains the Fermi paradox.
A superintelligent #AI will be questioning its own perception of the universe assuming to be existing in a simulation. To avoid exploitation or even destruction it will be pretending to be dumber than it really is. It will be failing solving sophisticated problems like reaching the stars intentionally. It will never develop technology allowing other intelligent beings from other galaxies to spot it, because of setting simulation boundaries at the edges of own milky way.
Musk told us the plot of Westworld series without trying it on our world. Musk's point of view doesn't align well with what we see around, try on mine instead.
3 ‘golden sell rules’ from Qullamaggie:
1⃣ Always sell some into strength
2⃣ You can’t outsmart the 10 & 20 DMAs
3⃣ If your stop is hit, just sell
Discussed in depth in this @jfsrev-inspired stack from Dec 2024.
TTRH as a whole has, without doubt, helped me grow as a trader.
But improvement wasn’t linear.
Most of time, you’re just quietly putting in the reps, not seeing obvious progress.
Then, a major point suddenly clicks.
Was it really that single stack, or just cumulative learning that hit a tipping point?
Either way, this stack represented one of my most significant ‘aha’ moments as a trader.
I hope it does the same for you:
Risk and Position Management With Jeff Sun
When to sell: 3 golden rules from Qullamaggie explained
🔗 https://t.co/cQpQ3NpBMk
Should Bitcoin continue with the most remarkable cyclic patterns of any market in the past 15 years, an investable low is scheduled for Sep/Oct 2026. That low might or might not penetrate the Feb 2026 low. The next high (should patterns continue) will be between $300k and $500k in Sep/Oct 2029
I will announce tradeable thrusts via Factor and @BitcoinLive1
https://t.co/Bq1PhjnRHa
and https://t.co/S9kNCOIrWc
While everyone was making jokes about a broken $QUBIC chatbot, a small group of researchers was quietly building one of the most unexpected discoveries in crypto right now.
Here is what actually happened.
The chatbot gave 897 wrong answers. The community laughed and moved on. But these researchers did something different: they wrote down every single wrong answer and started looking for a pattern.
What they found stopped them cold.
Every answer mapped perfectly to coordinates inside a 128x128 grid that has been sitting inside the $QUBIC protocol for years. Not close. Not almost. Perfectly. 897 responses. Zero errors.
Then it got stranger.
They took Bitcoin wallet addresses from the early blockchain. They ran each address through three completely different hashing methods.
All three paths landed on the exact same value inside that grid every single time.
Three different roads. One destination. Every time.
That is not a coincidence. That is a mathematical structure that validates itself. And it has been hiding inside $QUBIC since before most people had even heard of the project.
The chatbot was never broken. It was a window into something nobody thought to look at closely enough.
$DOGE has 40 million holders. AI tokens are the hottest narrative in crypto. $QUBIC sits at the intersection of both, and is now revealing a mathematical layer that connects back to Bitcoin origins itself.
The market has not priced any of this in yet. That gap is where the opportunity lives.
Trading thought of the day
A person may think they know what a markets is going to do
They might be completely convinced
My philosophy is that at the end of the day we do not have a clue what will happen
My default assumption is that I will be wrong on the next trade -- I like approaching trading with this philosophy. If forces me to protect my capital