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我在 R 中回测布林带策略时遇到了麻烦。逻辑是，如果收盘价高于上限，我想做空头寸，然后在它穿过平均线时平仓。如果收盘价低于下限，我也想持有多头头寸，并在它穿过平均线时平仓。到目前为止，这就是我所拥有的：

bbands <- BBands(stock$Close, n=20,sd=2)

sig1 <- Lag(ifelse((stock$Close >bbands$up),-1,0))

sig2 <- Lag(ifelse((stock$Close <bbands$dn),1,0))

sig3 <- Lag(ifelse((stock$Close > bbands$mavg),1,-1))

sig <- sig1 + sig2

...这是我卡住的地方，我如何使用sig3来获得预期的结果？

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1 回答 1

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library(quantmod)

getSymbols("SPY", src="yahoo", from="2013-01-01", to="2013-08-01")
x <- na.omit(merge(SPY, BBands(Cl(SPY))))

x$sig <- NA

# Flat where Close crossed the mavg
x$sig[c(FALSE, diff(sign(Cl(x) - x$mavg), na.pad=FALSE) != 0)] <- 0
x$sig[Cl(x) > x$up] <- -1 # short when Close is above up
x$sig[Cl(x) < x$dn] <- 1 # long when Close is below dn
x$sig[1] <- 0 # flat on the first day
x$sig[nrow(x)] <- 0 # flat on the last day

# Fill in the signal for other times
x$sig <- na.locf(x$sig) # wherever sig is NA, copy previous value to next row

# Now Lag your signal to reflect that you can't trade on the same bar that 
# your signal fires
x$sig <- Lag(x$sig)
x$sig[1] <- 0 # replace NA with zero position on first row

现在，sig是你的位置。如果你有你的头寸，你可以计算其他的东西，比如交易数量、盈亏等。

sum(abs(diff(x$sig, na.pad=FALSE))) # number of trades

sum(diff(Cl(x)) * x$sig, na.rm=TRUE) # PnL of 1 share
cumsum(diff(Cl(x), na.pad=FALSE) * x$sig[-1]) # equity over time

sum(ROC(Cl(x)) * x$sig, na.rm=TRUE) # Return of fully invested account
cumsum(ROC(Cl(x), na.pad=FALSE) * x$sig[-1]) # cumulative return
于 2013-08-20T21:40:45.343 回答