VeloAi Labs

296 posts

VeloAi Labs

VeloAi Labs

@VeloAiLabs

I build AI that sells supplements while founders sleep | https://t.co/omI64a21d8

Katılım Kasım 2022
359 Takip Edilen691 Takipçiler
Ethan Young
Ethan Young@young_etha27551·
@VeloAiLabs Yeah, that’s the real flex, fewer dumb inbox pings, more time to actually build. A friend recommended EmailAnalytics for spotting the repeat-question spam and slow reply gaps, which is way more useful than chasing vanity growth metrics.
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Ryan
Ryan@DodgysDD·
$NQ Market Maker Buy Model 1 Minute 6/18/24
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VeloAi Labs
VeloAi Labs@VeloAiLabs·
@SirPickle_ I used to see you riding his meat on every tweet he posted, now your a little sore and start throwing shade. Gay
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Sir Pickle
Sir Pickle@SirPickle_·
Maturing is realizing ICT did not code the “algorithm” Can’t believe I fell for that in the beginning.
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ً@trading_axe·
I was the lead market maker at Jump. I'm no longer under NDA so I can say this, Typically when you see down moves during the weekends like this, it is pure market manipulation. It was one of the tactics I invented during the low volume moments. We would load up and pay attention to Crypto Twitter as a source of sentiment, with specific accounts organized in specific categories. One thing I used to like doing was purposely "nuking" a new 4H candle on BTC and/or ETH, which was an easy trap. "Smart" traders know we'll eventually revisit those wickless candles, so it was good bait for me to set with eager buyers stepping in and the candle continuing lower. They end up capitulating before we reverse. Bottom shorters get comfortable here too. Anyway, I can't give away too much but just know, Most of thos "bad" price action you're seeing is a group of "whales" sitting in a chatroom together and merely oil painting on charts. My alias in Jump was "Vincent van Gogh." And that isn't because I lost my mind [well - that too], But because I painted some of the best looking bear traps. I know an influenced painter copying my work when I see one. Stay safe. Retar Dio.
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VeloAi Labs
VeloAi Labs@VeloAiLabs·
@thebrianstonk Sucks to see bro, you will recover from this. Any trader that claims they have not done similar before is lying. Godspeed
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BrianStonk
BrianStonk@thebrianstonk·
Rough day :/ A dentist cleaning early morning turned into a surprise root canal & crown. 3 hours later, tried to force a quick trade to log a day, DCA into a grind up, and blew my main Apex funded account—the same one recently under investigation. ❌ Guess Apex won. Full Transparency.
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VeloAi Labs
VeloAi Labs@VeloAiLabs·
@thebrianstonk Works great. You can enhance it using the first presentation fvg after 2:00 and 00:00 as well.
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BrianStonk
BrianStonk@thebrianstonk·
I just heard about the 1st presented FVG theory yesterday on stream. It seems to have worked well all week—who’s familiar with it? I’m intrigued to backtest and refine it. 🧠
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VeloAi Labs
VeloAi Labs@VeloAiLabs·
@relentlessADD I also, use the 8:30 price as a reference, if org fails to trade back to that price, more times than not, it never does in that particular session.
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relentlessADD
relentlessADD@relentlessADD·
I've noticed some peculiarities in the 2025 lectures and I'm wondering if anyone else has picked up on them. 1.) In the midnight range presentation (lecture 2) he selects the biggest gap and refers to it as first presentation. Does this logic carry over to other time based ranges (9:30am to 10am)? Rather than "the first" as instructed in 2024 are we to use the "most obvious" which to try to remove subjectivity you could say "the largest?" If that's the logic for first presentation arrays why not say that for a full year? If that is not the logic, why is there different logic for some time based ranges? 2.) Lecture 3 uses open rage gap size as a filter based on points. I find this strange because if you look back to previous years there were times when literally the ADR in NQ would have been smaller than the points based filters. Anyone who's tried to code up algos based on point/pip size has probably noticed this before if using a big enough data set. This is caused by inflation/monetary policy/QE etc so somehow the data has to be normalized. How do we do that? The algo doesn't change but using these filters in 2017 for example won't work - and it likely won't work in 2037. A percent of ADR or a percent of the range makes more sense. It's more static. To clarify I'm not saying the logic itself won't work but rather the points based filters might not be appropriate in the past for backtesting or in the future. How do we compensate? There's a couple other logic questions but I think I'll keep them to myself for now. I also have further commentary but I've been threatened with a ban from charter with my posts here so I'm trying to keep it very objective and plain.
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VeloAi Labs
VeloAi Labs@VeloAiLabs·
@relentlessADD I think like other PD array, you need to treat them subjectively. We know that the ORG are magnets for price, but we don’t rely soley on them, you allign them with narrative. You make some great points, I too was a little confused when he made the comment about ORG and points
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Raid
Raid@Romeotpt·
If the market makers find out who I am and what I know, I will disappear forever.
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Raid
Raid@Romeotpt·
Nobody knows 100% of what’s going on behind these charts except me and maybe ICT. Anyone else who claims to have the holy grail is full of shit.
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Ryan McVay
Ryan McVay@NorcalRyan·
@DodgysDD ICT is your Dad Dave is your crazy uncle Patrick is your jealous brother Tanja is your goody two shoes cousin Reliable is your single friend Hydra is your exchange student One big happy family. Happy Thanksgiving!
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Ryan
Ryan@DodgysDD·
Most liked reply I will buy a 100k evaluation account for from apex Good luck Ends in 24 hours
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Ryan
Ryan@DodgysDD·
Trade recap of every entry and exit called live Tough day after 9:50 If you followed your rules, no matter your p&l, you are green:)
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Nurse Neil
Nurse Neil@neilarora16·
I’m getting the most insane questions in my DM’s right now Retail is here, in case you weren’t sure
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