我还在玩Guy Yollins quantstrat示例。在这个例子中，当他超过10天MA时，他购买了1000股SPY。既然我们定义了初始股权，是否有可能总是购买整个投资组合金额而不仅仅是900股？ 'all'不适用于输入，只是退出..
if (!exists('.blotter')) .blotter <- new.env()
if (!exists('.strategy')) .strategy <- new.env()
if (!exists('.instrument')) .instrument <- new.env()
currency("USD")
stock("SPY",currency="USD",multiplier=1)
ls(envir=FinancialInstrument:::.instrument)
initDate <- '1997-12-31'
startDate <- '1998-01-01'
endDate <- '2013-07-31'
initEq <- 1e6
Sys.setenv(TZ="UTC")
getSymbols('SPY', from=startDate, to=endDate, adjust=T)
SPY=to.monthly(SPY, indexAt='endof')
SPY$SMA10m <- SMA(Cl(SPY), 10)
# inz portfolio, account
qs.strategy <- "qsFaber"
rm.strat(qs.strategy) # remove strategy etc. if this is a re-run
initPortf(qs.strategy,'SPY', initDate=initDate)
initAcct(qs.strategy,portfolios=qs.strategy, initDate=initDate, initEq=initEq)
initOrders(portfolio=qs.strategy,initDate=initDate)
# instantiate a new strategy object
strategy(qs.strategy,store=TRUE)
add.indicator(strategy = qs.strategy, name = "SMA",
arguments = list(x = quote(Cl(mktdata)), n=10), label="SMA10")
add.signal(qs.strategy,name="sigCrossover",
arguments = list(columns=c("Close","SMA10"),relationship="gt"),
label="Cl.gt.SMA")
add.signal(qs.strategy,name="sigCrossover",
arguments = list(columns=c("Close","SMA10"),relationship="lt"),
label="Cl.lt.SMA")
add.rule(qs.strategy, name='ruleSignal',
arguments = list(sigcol="Cl.gt.SMA", sigval=TRUE, orderqty=900,
ordertype='market', orderside='long', pricemethod='market'),
type='enter', path.dep=TRUE)
add.rule(qs.strategy, name='ruleSignal',
arguments = list(sigcol="Cl.lt.SMA", sigval=TRUE, orderqty='all',
ordertype='market', orderside='long', pricemethod='market'),
type='exit', path.dep=TRUE)
out <- applyStrategy(strategy=qs.strategy , portfolios=qs.strategy)
updatePortf(qs.strategy)
updateAcct(qs.strategy)
updateEndEq(qs.strategy)
myTheme<-chart_theme()
myTheme$col$dn.col<-'lightblue'
myTheme$col$dn.border <- 'lightgray'
myTheme$col$up.border <- 'lightgray'
# plot performance
chart.Posn(qs.strategy, Symbol = 'SPY', Dates = '1998::',theme=myTheme)
plot(add_SMA(n=10,col=4, on=1, lwd=2))
答案 0 :(得分：3)
您无法在条目上使用orderqty="all"，因为"all"指的是当前的位置大小（即，当您想要退出整个位置时）。
可以购买相当于总可用组合权益的金额，但您必须定义自定义订单大小调整功能。而且该功能必须标记该书（使用updatePortf）以确定可用权益金额。
答案 1 :(得分：0)
我知道很久以前就发布了这个问题，但请查看包“IKTrading”和订单大小调整功能“osMaxDollar”。这是关于该主题的博客文章;当您使用此订单大小调整功能时，您可以设置每笔交易的美元价值和总头寸。
答案 2 :(得分：0)
这是一个玩具示例，可以实现您想要的。
您需要引入订单大小调整功能。
看看函数ruleSignal的参数（例如formals(ruleSignal)和?ruleSignal）。
您会看到有一个参数osFUN，在这里您可以编写自定义函数来确定订购大小的方式。
您可以在add.rule中修改适当的参数以引入定单大小（在开仓交易中）。
osFUN_all_eq <- function (data, timestamp, orderqty, ordertype, orderside, equity, portfolio, symbol, ruletype, ..., initEq) {
datePos <- format(timestamp,"%Y-%m-%d")
updatePortf(Portfolio = portfolio, Symbol = symbol, Dates = paste0(start(data), "/", datePos))
trading_pl <- sum(.getPortfolio(portfolio)$summary$Net.Trading.PL)
# The total equity in the strategy for this symbol (and this symbol only in isolation always, as this is how quantstrat by default works with applyStrategy)
equity <- initEq + trading_pl
ClosePrice <- getPrice(data, prefer = "Close")[datePos]
UnitSize <- as.numeric(trunc(equity / ClosePrice))
UnitSize <- osMaxPos(data, timestamp, UnitSize, ordertype, orderside, portfolio, symbol, ruletype, digits=0)
UnitSize
}
library(quantstrat)
currency("USD")
stock("SPY",currency="USD",multiplier=1)
initDate <- '1997-12-31'
startDate <- '1998-01-01'
endDate <- '2013-07-31'
initEq <- 1e6
Sys.setenv(TZ="UTC")
getSymbols('SPY', from=startDate, to=endDate, adjust=T)
SPY=to.monthly(SPY, indexAt='endof')
SPY$SMA10m <- SMA(Cl(SPY), 10)
qs.strategy <- "qsFaber"
rm.strat(qs.strategy) # remove strategy etc. if this is a re-run
initPortf(qs.strategy,'SPY', initDate=initDate)
initAcct(qs.strategy,portfolios=qs.strategy, initDate=initDate, initEq=initEq)
initOrders(portfolio=qs.strategy,initDate=initDate)
# instantiate a new strategy object
strategy(qs.strategy,store=TRUE)
# Specify the max quantity you could hold in the SPY instrument. Here we simply assume 1e5 units. You could reduce this number to limit the exposure
max_qty_traded <- 1e5
addPosLimit(qs.strategy, "SPY", timestamp = startDate, maxpos = max_qty_traded)
add.indicator(strategy = qs.strategy, name = "SMA",
arguments = list(x = quote(Cl(mktdata)), n=10), label="SMA10")
add.signal(qs.strategy,name="sigCrossover",
arguments = list(columns=c("Close","SMA10"),relationship="gt"),
label="Cl.gt.SMA")
add.signal(qs.strategy,name="sigCrossover",
arguments = list(columns=c("Close","SMA10"),relationship="lt"),
label="Cl.lt.SMA")
add.rule(qs.strategy, name='ruleSignal',
arguments = list(sigcol="Cl.gt.SMA",
sigval=TRUE,
orderqty = 1, # the acutal orderqty size becomes redundant when supplying a function to the argument `osFUN`
osFUN = osFUN_all_eq,
ordertype='market', orderside='long', pricemethod='market'),
type='enter', path.dep=TRUE)
add.rule(qs.strategy, name='ruleSignal',
arguments = list(sigcol="Cl.lt.SMA",
sigval=TRUE,
orderqty='all', # flatten all open long positions
ordertype='market',
orderside='long',
pricemethod='market'),
type='exit',
path.dep=TRUE)
# supply initEq parameter and its value, which pass through to `osFUN`
out <- applyStrategy(strategy=qs.strategy , portfolios=qs.strategy, initEq=initEq)
updatePortf(qs.strategy)
updateAcct(qs.strategy)
updateEndEq(qs.strategy)
myTheme<-chart_theme()
myTheme$col$dn.col<-'lightblue'
myTheme$col$dn.border <- 'lightgray'
myTheme$col$up.border <- 'lightgray'
# plot performance
chart.Posn(qs.strategy, Symbol = 'SPY', Dates = '1998::',theme=myTheme)
plot(add_SMA(n=10,col=4, on=1, lwd=2))
在定单功能中，您应该考虑以下几点：
1）如果您已经有未平仓合约，您是否要允许“堆叠” /金字塔化特定面的仓位？例如，如果您只想保留一个职位，而无需进一步贡献，则可以在osFUN中加入getPosQty(qs.strategy, "SPY", timestamp)，如果当前职位不为0，则返回0。
2）您想要最大交易量吗？可以使用addPosLimit()处理此操作，如上面的示例所示。