I know more than one people who can guess betas and correlations visually. Once I met a person (not joking) who guessed the correlation using one data point. So I decided to train my eyes. You can do it too and influence people and win friends.
nearly everything that is a good repeatable trading idea looks like:
"under <some circumstances> this thing is likely to be too cheap/rich because <some people> are being forced or greedy or stupid... so the thing is more likely to go up/down in the future"
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just rt+like/comment, boost the algos and good luck to you? let's speedrun it to 30k
at some point, volatility is going to spike a lot.
and lots of you are going to get rekt cos you didn't have a good plan for what to do, or you didn't stick to it.
i can't have that on my conscience - i got enough already - so pls read this and make a plan.
It *is* linear in the parameters but that's not why it's called linear regression. It's called that because it's linear in the independent variables.
Of course, the independent variables themselves can have arbitrary non-linear dependence on the data, but the model can't discover that, it needs to be put in exogenously.
Unlike nonlinear methods (trees, nets, knn, svm etc) which can discover nonlinear relationships between the independent and dependent variables as part of the fitting process.
Alpha leak of the day: improving beta models is alpha.
Finding signal (alpha) is really hard because it's buried under tons of noise. Beta models are a de-noising technique. A way of saying "this stuff doesn't matter".
Better betas = a better lens to view markets.
I Studied Regressions *Only* for 30 Days So You Don't Have To But You Have To Subscribe
Lowkey-Advanced Ridge Regression (Part I)
as usual giving access to the lucky ones who RT
stolen content from @ryxcommar@AgustinLebron3@JessicaNutt96@negativecnvx