- [ ] PROD, rolling mean of X * Y: 1/window * sum(x*y) - [ ] COV, rolling covariance of X, Y, PROD - mean(X) * mean(Y) - [ ] CORR, rolling correlation of X, Y, COV / (std(X) * std(Y)) - [ ] SLOPE, rolling estimation of slope of regression: y = inteception + slope * x + \epsilon, COV / var(X) - [ ] INTERCEPT, rolling estimation of intercept of regression: y = inteception + slope * x + \epsilon, ... - [ ] BETA, rolling estimation of y = \beta * x + \epsilon