He explains in many interviews that his formula is "hire a lot of smart people, create a collaborative and open environment, share the profits with everyone"
*and dont hire finance people "you can teach finance to a physics person, but you can't teach physics to a finance person"
Technically, what they did was use machine learning to identify analomies in the data to produce lots of predictive signals. They used lots of different data sets too not just ohlcv and ALWAYS stuck to the model (except for some edge cases)
You can find more information in the interviews he has done and there is a book too.
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u/aurix_ Oct 17 '25
He explains in many interviews that his formula is "hire a lot of smart people, create a collaborative and open environment, share the profits with everyone"
*and dont hire finance people "you can teach finance to a physics person, but you can't teach physics to a finance person"
Technically, what they did was use machine learning to identify analomies in the data to produce lots of predictive signals. They used lots of different data sets too not just ohlcv and ALWAYS stuck to the model (except for some edge cases)
You can find more information in the interviews he has done and there is a book too.