[R] Trading Strategy and Bootstrap

[Schiele, Erik]

Hi,

I'm beginning to fool around in R for trading strategy purposes. To keep it simple, I have only played with stock data at this point.

I have created a simple trend following strategy (in blue). Given my statistical background, I am attempting to bootstrap the results and table the same parameters highlighted below with no luck (in green). Any ideas on what I could do differently?

Really Appreciate your help!!! Thanks

library(quantmod)
library(PerformanceAnalytics)

b <- get(getSymbols('SPY'))["2011::"]
s <- get(getSymbols('GLD'))["2011::"]
b$sma1 <- SMA(Cl(s) , 1)
s$sma50 <- SMA(Cl(s) , 50)
s$position <- ifelse(Cl(s) > s$sma50 , 1 , -1)
myReturn <- lag(s$position) * dailyReturn(s)

table.Drawdowns(s$position, top = 5, digits = 1)
table.Stats(s$position, ci = 0.95, digits = 2)
table.SpecificRisk(s$position, b$sma1, Rf = 0, digits = 2)
table.Correlation(s$position, b$sma1)

charts.PerformanceSummary(cbind(dailyReturn(s),myReturn))

N     = 100 # Number of simulations
Loop  = mat.or.vec(N,2,1,1,1)
for (i in 1:N){

  # sample with replacement from return distribution of index
  s.new = (sample(s, length(s), replace = T, prob = NULL))
  # demeaning returns
  s.new = s.new-mean(s)
  # new price series starting at same value as original series
  prices.new = xts(prices[[1]]*exp(cumsum(s.new)))

  # define strategies
  # mean reversion
  s$sma50.new  = SMA(Cl(s.new) , 50)

   # Create buy/sell signals
   # mean reversion
   s$position.new <- ifelse(Cl(s) > s$sma50.new , 1 , -1)

   # replace missing values with zeros
   s$position.new[is.na(s$position.new)]   = 0

   Loop[i,1] = if (mean(s$position.new)  > mean(s$sma50.new)) {1}else{0}
}

#Loop

# plots simulated series
returns.new = cbind(s$sma50.new, cumsum(s$sma50.new))

 chart.CumReturns(returns.new,s$sma50.new,geometric=F)

Erik Schiele
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