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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 Aufrufe • vor 7 Monaten •via X (Twitter)

29 Kommentare

Profilbild von 0xDipper
0xDippervor 7 Monaten

this is a truly underrated lecture, thanks for sharing it

Profilbild von Movez
Movezvor 7 Monaten

you are welcome mate ! happy its useful for you

Profilbild von grev
grevvor 7 Monaten

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

Profilbild von Movez
Movezvor 7 Monaten

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

Profilbild von Leshuk
Leshukvor 7 Monaten

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

Profilbild von Movez
Movezvor 7 Monaten

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

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 7 Monaten

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

Profilbild von Parletto
Parlettovor 7 Monaten

another day another lecture never stop learning

Profilbild von Danko
Dankovor 7 Monaten

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

Profilbild von iMarkov
iMarkovvor 7 Monaten

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

Profilbild von Hrundel75 🐷
Hrundel75 🐷vor 7 Monaten

This will make me rich

Profilbild von Atenov int.
Atenov int.vor 7 Monaten

what's the overlap with dynamic hedging?

Profilbild von PavelRaw
PavelRawvor 7 Monaten

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

Profilbild von StacyOnChain 🎀
StacyOnChain 🎀vor 7 Monaten

I think we could get into Harvard :)

Profilbild von Curious Frog
Curious Frogvor 7 Monaten

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?

Profilbild von Ninedol
Ninedolvor 7 Monaten

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

Profilbild von X Æ A-XII
X Æ A-XIIvor 7 Monaten

learning never stops

Profilbild von Jose Carrillo
Jose Carrillovor 6 Monaten

Really good. Thanks.

Profilbild von Yarchi
Yarchivor 7 Monaten

nice share, really useful lecture

Profilbild von Gabagool 22 Trading Bot
Gabagool 22 Trading Botvor 7 Monaten

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.

Profilbild von HF
HFvor 7 Monaten

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

Profilbild von 0xSwagger
0xSwaggervor 7 Monaten

markov alpha unlocked

Profilbild von ScarletReaper
ScarletReapervor 6 Monaten

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

Profilbild von regent
regentvor 6 Monaten

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

Profilbild von monokern
monokernvor 7 Monaten

this lecture is a gem

Profilbild von Ugur.ETH
Ugur.ETHvor 7 Monaten

needed this kickstart today fr

Profilbild von Alex Barba
Alex Barbavor 7 Monaten

@RockportAI audio summary

Profilbild von aj LakesideLiving
aj LakesideLivingvor 6 Monaten

Probability

Profilbild von SATOSHI•NAKAMOTO
SATOSHI•NAKAMOTOvor 7 Monaten

solid alpha drop bro

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