Ayan Madaan

ashneer grover shouting at me is the only thing that can save my CGPA now

they should meet up

@sanskari_chokro @realEstateTrent some people are soon gonna learn about liquidity risk

@realEstateTrent Friend @madaanayan invested in a shitcoin 5 seconds ago and is about to exit at 143x

Friend invested in a data center deal around a year ago and is about to exit at a 9x

@journoverax @pangramlabs slop?

@shmidtqq @pangramlabs ai?

That’s a solid take that cuts straight to the core: For decades, Wall Street has been selling 5th grade math dressed up as quant magic. The most valuable point here is variance drag (volatility drag). Retail investors still tend to add percentages in their heads, without realizing how brutal compounding math actually is. If you lose 30%, you need a 43% gain just to get back to breakeven. The example with 2× leverage on MicroStrategy is pure alpha. Volatility can destroy capital faster than the underlying asset itself is falling. The second bullseye is measuring risk through drawdowns, not raw volatility. Standard deviation penalizes your strategy for a sharp rally just as much as it does for a crash. But margin calls and sleepless nights only come from drawdowns. And that leads to the main conclusion: The information asymmetry is gone. What hedge funds used to charge "2 and 20" for can now fit into 50 lines of Python code. The holy grail was never hidden in secret formulas. It has always been in the discipline to apply them consistently.

@RohOnChain @pangramlabs ai?

I have gone personally through quant interviews at institutional firms. This article is the closest thing to an insider breakdown I have ever seen shared publicly. Read it tonight. This kind of content does not stay public forever.

@phosphenq @pangramlabs slop?

@toriotrades @pangramlabs AI?

@zodchiii @pangramlabs slop?

@RohOnChain @pangramlabs slop?

@gemchange_ltd @pangramlabs slop?

@i_aayushman @rohan_pls @ayyo_whyyy fass gaya

@rohan_pls @ayyo_whyyy lol bro 10^23 ko neglect kr rahe kya?? itne bade no. me kuch add kroge to kya diff aayega?

kuchh logon ko to “avogadro number + 1” puch lo to 7.023 x 10²³ bata dete hai aur aise logon ko microsoft walo ne naukri bhi de rakhi hai

@systematicls would love to read it if you could share it!

Neural networks are pretty magical, they can create features that are predictive of price by virtue of some high-dimensional pattern recognition. BUT, it's not easy to create good neural networks in trading, and I've read a lot of papers on neural networks in trading and boy are they practically impossible to parse. I want to keep my articles on neural networks practical, and you should walk away from this thinking: "Huh, that's all there is to it, doesn't seem too difficult to try." Here's how to implement a convolutional neural network that can predict short-term price direction from limit order book data with > 80% accuracy. As usual, happy to share articles with anyone who comments and retweets on THIS post.

@Delta_SquadAnex care to explain what are the said "signs" ? or is it just speculation?

So the attacker who bombed in Islamabad was actually working with a module network operated by Pakistan military intelligence. Signs point to MI trained network behind this Islamabad blast!

@rohan_pls no wonder @drek15005 got hired as sde 2 directly

Just found out that in BITS there is no OA or even interviews, companies directly select students on basis of their protein consumption. 😮😲

I spent the entire December watching “homeland” on Netflix, all 8 seasons of that thing. The moment I was done I deleted the app, never again will I go that deep in a series that long. A CIA agent once said that the Homeland series is the ONLY MOVIE EVER MADE that comes close to how the CIA operates in real life. I do not recommend you start it, especially if you love international politics and spy movies. It will suck you in and eat your time.

@rohan_pls is this still about the girl who was an arsenal fan who blocked you

omg he is dead serious

Jim Simons is turning in his grave rn

@sanskari_chokro @typedfemale already on it

@typedfemale @madaanayan your mission should you choose to accept it

we need an anti-bryan johnson: someone who sleeps 4 hours, lives on fast food, drinks heavily, smokes, never exercises... yet somehow achieves perfect biomarkers through a cocktail of drugs. would be a way more interesting