this is why I don't trust any ML
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Replying to @nope_its_lily @ONAN_OUS
every time you fit a parameter in a backtest you are doing ML, just really slowly and inefficiently
1 reply 0 retweets 16 likes -
You've clearly worked in marketing
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Replying to @choffstein @macrocephalopod and
Do you disagree with Prado that much of ML is just modern statistics? Ie, like any other statistical tool like linear regression (which I think is ML as well), it's useful if you dont use it irresponsibly, right?
1 reply 0 retweets 1 like -
Replying to @M1tchRosenthal @macrocephalopod and
I'm not sure he owns that view. That's what most people have been saying for the last 5+ years
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Replying to @choffstein @macrocephalopod and
Good pt, just mentioned him bc that's who I heard that opinion from. Still curious whether you agree w him
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Replying to @M1tchRosenthal @choffstein and
I strongly believe all of (a) ML is overhyped in finance (b) ML is useful in finance if you are careful about how/when you use it (c) Lopez de Prado has an ego bigger than the fucking Vatican and the world would be better off if he never wrote another paper.
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Replying to @macrocephalopod @choffstein and
haha I see, where do you get that from? Ive just found his texts on ML useful
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Replying to @M1tchRosenthal @choffstein and
Almost everything he says is correct, but it’s also very widely known (and has been for years) and he tries to spin it as if he’s the first person who has ever thought that overfitting a backtest might be a bad idea and hey maybe we should do something about that.
2 replies 0 retweets 8 likes -
Replying to @macrocephalopod @M1tchRosenthal and
Reminds me of this: https://www.youtube.com/watch?v=_9W1zTEuKLY … Mostly naming things people have done for years...
1 reply 0 retweets 1 like
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