#' Chart to analyse walk.forward() objective function
#'
#' @param audit.filename name of .audit environment file as produced by walk.forward()
#'
#' @export
chart.forward.training <- function(audit.filename)
{
if(!require(xtsExtra, quietly=TRUE)) stop('The "xtsExtra" package is required to use this function')
.audit <- NULL
load(audit.filename)
# extract all portfolio names from the audit environment
portfolios.st = ls(name=.audit, pattern='portfolio.*')
n <- length(portfolios.st)
# calculate Net.Trading.PL for each portfolio, one xts col per portfolio
PL.xts <- xts()
for(portfolio.st in portfolios.st)
{
p <- getPortfolio(portfolio.st, envir=.audit)
from <- index(p$summary[2])
#R <- cumsum(p$summary['2004-01-01/','Net.Trading.PL'])
R <- cumsum(p$summary[paste(from, '/', sep=''),'Net.Trading.PL'])
names(R) <- portfolio.st
PL.xts <- cbind(PL.xts, R)
}
# add a column for the chosen portfolio, doubling it
chosen.one <- .audit$param.combo.nr
chosen.portfolio.st = ls(name=.audit, pattern=glob2rx(paste('portfolio', '*', chosen.one, sep='.')))
R <- PL.xts[,chosen.portfolio.st]
PL.xts <- cbind(PL.xts, R)
PL.xts <- na.locf(PL.xts)
# add drawdown columns for all portfolio columns
CumMax <- cummax(PL.xts)
Drawdowns.xts <- -(CumMax - PL.xts)
data.to.plot <- as.xts(cbind(PL.xts, Drawdowns.xts))
# now plot it
dev.new()
plot.xts(
data.to.plot,
screens=rep(1:2,each=n+1),
col=c(rep('grey',n), 'blue'),
minor.ticks=FALSE,
main=NA
)
title(
main='Walk Forward Analysis',
sub=audit.filename
)
.audit <- NULL
}
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