A Quantstrat to Build On
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THIS IS NOT INVESTMENT ADVICE. PLEASE DO NOT TRADE THIS SYSTEM AS IT CAN LOSE SIGNIFICANT AMOUNTS OF MONEY. YOU ARE RESPONSIBLE FOR YOUR OWN GAINS AND LOSSES.
Some R finance powerhouses have been banging away on the quantstrat package for quite a while now with some very impressive results. For my first quantstrat, I wanted to use some sort of really easy, but non-prebuilt ttr technical indicator, so I could learn some of the quantstrat intricacies. I chose to enter and exit based on a sum of up (1) and down (-1) weeks over a rolling period, which I call CUD. This specific example uses 20 weeks as the rolling period, and buys when this sum exceeds 0 and exits when the sum goes below 0. I plan to adapt, refine, and extend this example to a much more workable system and example of quantstrat, but for now I want to put it out there for comments and criticisms as the end of the day approaches.
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| From TimelyPortfolio |
R code:
#thanks so much to the developers of quantstrat
#99% of this code comes from the demos in the quantstrat package
#now let's define our silly countupdown function
CUD <- function(price,n) {
#CUD takes the n-period sum of 1 (up days) and -1 (down days)
temp<-runSum(ifelse(ROC(price,1,type="discrete") > 0,1,-1),n)
colnames(temp) <- "CUD"
temp
}
try(rm("order_book.CUD",pos=.strategy),silent=TRUE)
try(rm("account.CUD","portfolio.CUD",pos=.blotter),silent=TRUE)
try(rm("account.st","portfolio.st","stock.str","stratCUD","initDate","initEq",'start_t','end_t'),silent=TRUE)
# Initialize a strategy object
stratCUD <- strategy("CUD")
# Add an indicator
stratCUD <- add.indicator(strategy = stratCUD, name = "CUD", arguments = list(price = quote(Cl(mktdata)),n=20), label="CUD")
# enter when CUD > 0
stratCUD <- add.signal(strategy = stratCUD, name="sigThreshold",arguments = list(threshold=-0.5, column="CUD",relationship="gt", cross=TRUE),label="CUD.gteq.0")
# exit when CUD < 0
stratCUD <- add.signal(strategy = stratCUD, name="sigThreshold",arguments = list(threshold=-0.5, column="CUD",relationship="lt",cross=TRUE),label="CUD.lt.0")
stratCUD <- add.rule(strategy = stratCUD, name='ruleSignal', arguments = list(sigcol="CUD.gteq.0", sigval=TRUE, orderqty=1000, ordertype='market', orderside='long', pricemethod='market', replace=FALSE), type='enter', path.dep=TRUE)
stratCUD <- add.rule(strategy = stratCUD, name='ruleSignal', arguments = list(sigcol="CUD.lt.0", sigval=TRUE, orderqty='all', ordertype='market', orderside='long', pricemethod='market', replace=FALSE), type='exit', path.dep=TRUE)
currency("USD")
symbol = "GSPC"
stock(symbol, currency="USD",multiplier=1)
#use paste with ^ to get index data
getSymbols(paste("^",symbol,sep=""),adjust=T,from="1900-12-31")
#I use weekly but comment this out if you want to use daily
GSPC<-to.weekly(GSPC)
initDate='1950-12-31'
initEq=100000
port.st<-'CUD' #use a string here for easier changing of parameters and re-trying
initPortf(port.st, symbols=symbol, initDate=initDate)
initAcct(port.st, portfolios=port.st, initDate=initDate)
initOrders(portfolio=port.st, initDate=initDate)
print("setup completed")
# Process the indicators and generate trades
start_t<-Sys.time()
out<-try(applyStrategy(strategy=stratCUD , portfolios=port.st ) )
end_t<-Sys.time()
print("Strategy Loop:")
print(end_t-start_t)
start_t<-Sys.time()
updatePortf(Portfolio=port.st,Dates=paste('::',as.Date(Sys.time()),sep=''))
end_t<-Sys.time()
print("trade blotter portfolio update:")
print(end_t-start_t)
# hack for new quantmod graphics, remove later
themelist<-chart_theme()
themelist$col$up.col<-'lightgreen'
themelist$col$dn.col<-'pink'
chart.Posn(Portfolio=port.st,Symbol=symbol,theme=themelist,log=TRUE)
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