我已经在几个平台上对这个策略进行了回溯测试,但我是R的新手。逻辑是正确的,因为它与其他软件一起使用但是它不适用于R.
如果rsi(2)< 10`和收盘价sma(10),策略会走多远 你能帮帮我吗?我附上了代码。getSymbols("spy",from ="1995-01-01", to="2016-05-13")
rsi <- RSI(Cl(SPY),2)
smashort<-SMA(Cl(SPY),10)
signal<-ifelse(Cl(SPY)<smashort &rsi<10,1,ifelse(Lag(signal,1)>0 & Cl(SPY)<smashort, 1,0))
signal<-lag(signal,1)
signal[is.na(signal)] <- 0
ret <- ROC(Cl(SPY))
ret[1] <- 0
equity<-exp(cumsum(ret*signal))
plot(equity)
答案 0 :(得分:0)
在这里做了很多猜测,因为你没有解释你想要做什么:
library(quantmod)
getSymbols("spy",from ="1995-01-01", to="2016-05-13")
rsi <- RSI(Cl(SPY),2)
closes <- Cl(SPY)
smashort <- SMA(closes,10)
signal <- ifelse((rsi < 10) & (closes <= smashort), 1, 0)
length(signal[signal == 1])
# 535 buy signals where rsi is less than 10
# and SPY close is less than the 10 period moving average