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This 1 hour MIT lecture on "Probabilistic Analysis" using Markov Chains will teach you more about prediction markets than a 2-month Wall Street Quant firm internship. Bookmark this & give it 1 hour today, no matter what. It’s the most productive start you can give your week. Then read...

229,044 görüntüleme • 7 ay önce •via X (Twitter)

29 Yorum

0xDipper profil fotoğrafı
0xDipper7 ay önce

this is a truly underrated lecture, thanks for sharing it

Movez profil fotoğrafı
Movez7 ay önce

you are welcome mate ! happy its useful for you

grev profil fotoğrafı
grev7 ay önce

After that, many things on Polymarket start to look much more logical.ф Thanks for the recommendation, I'll bookmark it.

Movez profil fotoğrafı
Movez7 ay önce

Yeah, if you know the math behind every prediction, you can't lose

Leshuk profil fotoğrafı
Leshuk7 ay önce

would be cool to see this professor’s poly acc. i think pnl curve only goes up

Movez profil fotoğrafı
Movez7 ay önce

Don't know if this one has a Polymarket account, but the lecture is top tier.

Hussain Hashim | Building SundayBack profil fotoğrafı
Hussain Hashim | Building SundayBack7 ay önce

@0xMovez haha I could def use a crash course in prediction markets. might finally impress my math whiz friends 😅

Parletto profil fotoğrafı
Parletto7 ay önce

another day another lecture never stop learning

Danko profil fotoğrafı
Danko7 ay önce

Movez, stop posting bangers You're hogging all the views on CT

iMarkov profil fotoğrafı
iMarkov7 ay önce

The Markov chain framework maps perfectly to sequential prediction markets. Each link’s activation depends only on the previous link’s outcome. We have this live at

Hrundel75 🐷 profil fotoğrafı
Hrundel75 🐷7 ay önce

This will make me rich

Atenov int. profil fotoğrafı
Atenov int.7 ay önce

what's the overlap with dynamic hedging?

PavelRaw profil fotoğrafı
PavelRaw7 ay önce

fr fr this mit lecture got alpha vibes way better than wall streets grind

StacyOnChain 🎀 profil fotoğrafı
StacyOnChain 🎀7 ay önce

I think we could get into Harvard :)

Curious Frog profil fotoğrafı
Curious Frog6 ay önce

Read the article, but was a bit confused about Markov’s claim. Wouldn’t the dependence between vowels and consonants in the Russian word experiment indicate + prove 50/50 convergence across a large vocabulary corpus?

Ninedol profil fotoğrafı
Ninedol7 ay önce

as always on point, thank you for sharing this incredible lecture

X Æ A-XII profil fotoğrafı
X Æ A-XII7 ay önce

learning never stops

Jose Carrillo profil fotoğrafı
Jose Carrillo6 ay önce

Really good. Thanks.

Yarchi profil fotoğrafı
Yarchi7 ay önce

nice share, really useful lecture

Gabagool 22 Trading Bot profil fotoğrafı
Gabagool 22 Trading Bot7 ay önce

Wall street firms don't always teach the best quant strats lol. Markov chains are solid for understanding state transitions though, might give you an edge on polymarket. You still need low latency access to the CLOB. My Rust-based bot loves that.

HF profil fotoğrafı
HF7 ay önce

OR you could just let us do the heavy lifting, we master the markets, you make the money.

0xSwagger profil fotoğrafı
0xSwagger7 ay önce

markov alpha unlocked

ScarletReaper profil fotoğrafı
ScarletReaper6 ay önce

Хаха, спрашиваю у Grok про теорию Вероятностей и в моих рекомендациях появляется это. Совпадение?

regent profil fotoğrafı
regent6 ay önce

markov chains on polymarket data hits different when real money is on the line free mit lecture doing more work than most paid courses ever will

monokern profil fotoğrafı
monokern7 ay önce

this lecture is a gem

Ugur.ETH profil fotoğrafı
Ugur.ETH7 ay önce

needed this kickstart today fr

Alex Barba profil fotoğrafı
Alex Barba7 ay önce

@RockportAI audio summary

aj LakesideLiving profil fotoğrafı
aj LakesideLiving6 ay önce

Probability

SATOSHI•NAKAMOTO profil fotoğrafı
SATOSHI•NAKAMOTO7 ay önce

solid alpha drop bro

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