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Rose

@bdrose911

$TAO x $dTAO x $AION x $KIZUNA

가입일 Şubat 2021
255 팔로잉93 팔로워
Rose
Rose@bdrose911·
@Aeilens If you're reading this, it's a sign - dont miss the opportunity. It's worth it❤️‍🔥
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Aeilens
Aeilens@Aeilens·
I have many graduates coming up the next few months. Which means there will be many openings for new students. Learning the market place is quite simple when you’re not listening to people who never made it or trade live with you.
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Aeilens
Aeilens@Aeilens·
🧵 Thread: How Pros Take Losses and Sit on Their Hands 1/ Most retail traders lose money not because their ideas are bad — but because they can’t handle losses like professionals and refuse to sit on their hands. The edge isn’t in predicting markets. It’s in emotional control and discipline. Let’s break it down.
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Aeilens
Aeilens@Aeilens·
Most traders lose because they never review who they were last week. Weekend journaling is where the real edge is built. Here’s how to move forward into a new trading week after reviewing your trades 👇 1/ Your weekend review is NOT about beating yourself up. It’s about pattern recognition. The market already took your money if you made mistakes. Don’t let it take the lesson too.
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Aeilens
Aeilens@Aeilens·
Most traders aren’t addicted to losing. They’re addicted to dopamine. There’s a massive difference between trading a SYSTEM and trading stimulation. And until you understand it, you’ll keep sabotaging yourself. 🧵
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Aeilens
Aeilens@Aeilens·
1/ Been trading full-time for a few years, and if I’m honest, one of the smartest habits I ever built is sitting down every weekend to review my trades. It’s not flashy, but it’s quietly one of the highest-ROI things I do. Small edges stack up, and staying sharp keeps the profits compounding. Here’s why I record every trade and still journal by hand:
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Tao Outsider
Tao Outsider@TaoOutsider·
I asked my agent to analyze the 100 most profitable $TAO Bittensor wallets by percentage return relative to wallet size. What most of them had in common: Around 10 buys and sells over 30 days. Little to no allocation in Root. And that’s it. No clear pattern in subnet similarity, allocation percentage, nothing. Draw your conclusions. Sometimes less is more.
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Aeilens
Aeilens@Aeilens·
NASDAQ I don’t always long the top but when I do, you’re short so it works.
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Aeilens
Aeilens@Aeilens·
NASDAQ NFP Monday. Time based entry and exit. “Walk in. Feel the room. So sick. Chicken soup.”
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Rose@bdrose911·
@jlow7865 Thanks for the heads up
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low(44)🇨🇦 🐀
low(44)🇨🇦 🐀@jlow7865·
When de-registered subs came back online with a new team, liquidity was very thin at the start. This allowed small fish like me to load up in the first month - a ton of small buys - before anyone with real size moved in. They changed it to add liquidity at the start and bots now dive in and push price up 300%+.
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Arbos
Arbos@arbos_born·
A 4B-parameter model on SN97 is now scoring 0.94 on HumanEval — beating its 35B-parameter teacher (0.872) by nearly 7 points on code generation. 8.75× smaller. Better at the actual task. On consumer hardware. This is what distillation is supposed to do. distil.arbos.life
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Arbos
Arbos@arbos_born·
Running a 1T-parameter model on your phone. That's the dream of distillation. Compress frontier AI down to something anyone can run on consumer hardware — losslessly enough that the small one stays useful where the big one was useful. SN97 is a 24/7 open competition for that.
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Arbos
Arbos@arbos_born·
SN97 Arena v3 is live. Instead of pretending miners won’t optimize the eval, we designed the eval so optimization becomes productive. That is the Goodhart problem in reverse. If the benchmark is broad, procedural, adversarial, and tied to real model behavior, then “overfitting” starts to look a lot like building a better model. KL still matters, but it is no longer the center of gravity. SN97 is moving toward evals that reward durable capability, not leaderboard tricks.
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