Top Tweets for #AIFactor
નવું કોમ્પ્યુટર લેવાનું આયોજન છે? RAM, SSD બાદ હવે હાર્ડ ડ્રાઈવ પણ મોંઘી થઈ
વધુ માહિતી માટે નીચે આપેલ ફોટો પર ક્લિક કરો....
https://t.co/kXtVSM9167
Arya40
#HardDrivePriceHike #ComputerHardware #StoragePrices #TechInflation #AIFactor #FestiveTechDeals #Gvcard
Only AI trained models can give me LIVE returns like this... life changing.

With 90% of microcaps, investor expectations get too high after 2-4 good quarters in a row. The multiple expands from being cheap based on last year to being cheap based on this year, to could be cheap based on 2030 estimates. Value investors sell their stock to growth investors. Growth investors annualize the best quarter in the company history and add 50% per year going forward for 5 years and call it conservative. The excel table says the stock chart should be a smooth escalator ride to heaven. But then the company suffers from growing pains, invests to support growth, last years 50% growth turns into this years 30% growth, and next year's 17%. The stock gets cut in half or more. Growth investors sell to value investors. Time and time again, every year, the pattern persists across hundreds of microcaps.
@RTelford_invest @MicroCapClub Agree 100%!!!
That is why we have best results 3MRel and 3MTotal on #AIFactor Models via @P123Finance and why you have to specialize the universe (to US small caps) in the first place. By the way --> Europe Small caps --> 6Month targets are fine too...
Out of $ANTX > +200% #AIFactor

$VYNE nice, I a have a runner!
By the way this is the second Trade #AIFactor picks on this stock ;-)
Predictor built via @P123Finance

1/5
Introducing "The Allocators Pitch":
A new blog & project to market exclusive, high-powered quant strategies directly to allocators. Built with @P123Finance #AIFactor.
The goal? Change the game for Quants and Allocators!
Tree Based Models #AIFActor @P123Finance
- Each tree contributes a score (log-odds or raw value) toward the final prediction. (in my Hyperparameter config I use 500 - 1000 Trees!)
- The final ranking score is typically an average over all trees.
- So even if one tree still likes the stock (for example based on value), another tree that sees it as overbought can moderate or reverse the final signal.
This multi-perspective logic gives your model robustness and subtlety:
- It doesn't rely on one rigid rule.
- It adjusts dynamically based on context — in for example: rally magnitude vs. valuation.
- Rare but powerful conditions (like a growth stock showing great value) are recognized and weighted appropriately if they’ve appeared in history (minimum 50 samples per tree split due to (for example!) min_child_samples=50).

$SNDL it just keeps pushing... #AIFactor


Sold 60% of the Position #AIFactor


Nous sommes impatients de vous rencontrer sur le salon @VivaTech ! Venez découvrir la technologie des solutions Shift & de l’IA pour la détection de fraude sur le stand Microsoft ! Paris, 16-18 mai #VivaTech #AIforGood #MicrosoftAI #Msft4Startups #AIFactor https://t.co/ETXVm8ayLY

Nous sommes impatients de vous rencontrer sur le salon @VivaTech ! Venez découvrir la technologie des solutions Shift & de l’IA pour la détection de fraude sur le stand Microsoft ! Paris, 16-18 mai #VivaTech #AIforGood #MicrosoftAI #Msft4Startups #AIFactor https://t.co/wbJU7f96bU

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