Handling a Large Universe of Stock Price Data in R: Profiling with profvis
Recently, we wrote about calculating mean rolling pairwise correlations between the constituent stocks of an ETF. The tidyverse tools dplyr and slider solve this somewhat painful data wrangling operation about as elegantly and intuitively as possible. Why did you want to do that? We’re building a statistical arbitrage strategy that relies on indexation-driven trading in … Continue reading Handling a Large Universe of Stock Price Data in R: Profiling with profvis
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