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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 次观看 • 7 个月前 •via X (Twitter)

29 条评论

0xDipper 的头像
0xDipper7 个月前

this is a truly underrated lecture, thanks for sharing it

Movez 的头像
Movez7 个月前

you are welcome mate ! happy its useful for you

grev 的头像
grev7 个月前

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

Movez 的头像
Movez7 个月前

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

Leshuk 的头像
Leshuk7 个月前

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

Movez 的头像
Movez7 个月前

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

Hussain Hashim | Building SundayBack 的头像
Hussain Hashim | Building SundayBack7 个月前

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

Parletto 的头像
Parletto7 个月前

another day another lecture never stop learning

Danko 的头像
Danko7 个月前

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

iMarkov 的头像
iMarkov7 个月前

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 🐷 的头像
Hrundel75 🐷7 个月前

This will make me rich

Atenov int. 的头像
Atenov int.7 个月前

what's the overlap with dynamic hedging?

PavelRaw 的头像
PavelRaw7 个月前

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

StacyOnChain 🎀 的头像
StacyOnChain 🎀7 个月前

I think we could get into Harvard :)

Curious Frog 的头像
Curious Frog7 个月前

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 的头像
Ninedol7 个月前

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

X Æ A-XII 的头像
X Æ A-XII7 个月前

learning never stops

Jose Carrillo 的头像
Jose Carrillo6 个月前

Really good. Thanks.

Yarchi 的头像
Yarchi7 个月前

nice share, really useful lecture

Gabagool 22 Trading Bot 的头像
Gabagool 22 Trading Bot7 个月前

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 的头像
HF7 个月前

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

0xSwagger 的头像
0xSwagger7 个月前

markov alpha unlocked

ScarletReaper 的头像
ScarletReaper7 个月前

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

regent 的头像
regent6 个月前

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 的头像
monokern7 个月前

this lecture is a gem

Ugur.ETH 的头像
Ugur.ETH7 个月前

needed this kickstart today fr

Alex Barba 的头像
Alex Barba7 个月前

@RockportAI audio summary

aj LakesideLiving 的头像
aj LakesideLiving6 个月前

Probability

SATOSHI•NAKAMOTO 的头像
SATOSHI•NAKAMOTO7 个月前

solid alpha drop bro

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