For this demonstration, we will use random walk data as it can easily be generated. Note that the price series associated with a specific asset should be organized along a row. Here we do replication generation.
library(finmodtk) price_series <- t(sapply(1:15, function(i) cumsum(rnorm(100))+1000)) norm_series <- t(apply(price_series, 1, price_norm)) synth <- pedroso_synthesis(price_series, theta = 1, extra = 0, repl = TRUE) par(mfrow = c(1,2)) matplot(t(norm_series), type = "l", lty = 1, main = "Original") matplot(t(synth$synth_prices), type = "l", lty = 1, main = "Original")
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