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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 просмотров • 7 месяцев назад •via X (Twitter)

Комментарии: 29

Фото профиля 0xDipper
0xDipper7 месяцев назад

this is a truly underrated lecture, thanks for sharing it

Фото профиля Movez
Movez7 месяцев назад

you are welcome mate ! happy its useful for you

Фото профиля grev
grev7 месяцев назад

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

Фото профиля Movez
Movez7 месяцев назад

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

Фото профиля Leshuk
Leshuk7 месяцев назад

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

Фото профиля Movez
Movez7 месяцев назад

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

Фото профиля Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBack7 месяцев назад

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

Фото профиля Parletto
Parletto7 месяцев назад

another day another lecture never stop learning

Фото профиля Danko
Danko7 месяцев назад

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

Фото профиля iMarkov
iMarkov7 месяцев назад

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

Фото профиля Hrundel75 🐷
Hrundel75 🐷7 месяцев назад

This will make me rich

Фото профиля Atenov int.
Atenov int.7 месяцев назад

what's the overlap with dynamic hedging?

Фото профиля PavelRaw
PavelRaw7 месяцев назад

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

Фото профиля StacyOnChain 🎀
StacyOnChain 🎀7 месяцев назад

I think we could get into Harvard :)

Фото профиля Curious Frog
Curious Frog7 месяцев назад

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?

Фото профиля Ninedol
Ninedol7 месяцев назад

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

Фото профиля X Æ A-XII
X Æ A-XII7 месяцев назад

learning never stops

Фото профиля Jose Carrillo
Jose Carrillo6 месяцев назад

Really good. Thanks.

Фото профиля Yarchi
Yarchi7 месяцев назад

nice share, really useful lecture

Фото профиля Gabagool 22 Trading Bot
Gabagool 22 Trading Bot7 месяцев назад

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.

Фото профиля HF
HF7 месяцев назад

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

Фото профиля 0xSwagger
0xSwagger7 месяцев назад

markov alpha unlocked

Фото профиля ScarletReaper
ScarletReaper7 месяцев назад

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

Фото профиля regent
regent6 месяцев назад

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

Фото профиля monokern
monokern7 месяцев назад

this lecture is a gem

Фото профиля Ugur.ETH
Ugur.ETH7 месяцев назад

needed this kickstart today fr

Фото профиля Alex Barba
Alex Barba7 месяцев назад

@RockportAI audio summary

Фото профиля aj LakesideLiving
aj LakesideLiving6 месяцев назад

Probability

Фото профиля SATOSHI•NAKAMOTO
SATOSHI•NAKAMOTO7 месяцев назад

solid alpha drop bro

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