目前,我已经修改了在这里找到的一些代码,以读取R中期权的出价/要价,然后我使用calculateImpliedVolatility将这些价格反馈给TWS,以获得隐含波动率。看起来我不需要第二步就可以使用.twsTickType$MODEL_OPTION来获取它们。我试图修改相同的代码,我用于出价/要价,但一直无法让它工作。这是我尝试过的:
eWrapper.data.Opt_Model <- function(n) {
eW <- eWrapper(NULL) # use basic template
eW$assign.Data("data", rep(list(structure(.xts(matrix(rep(NA_real_,8),nc=8),0),
.Dimnames=list(NULL,c("ImpVol","Delta","tv","pvdiv","gamma","vega",'theta','spot')))),n))
eW$tickPrice <- function(curMsg, msg, timestamp, file, ...)
{
tickType = msg[3]
msg <- as.numeric(msg)
id <- msg[2] #as.numeric(msg[2])
data <- eW$get.Data("data") #[[1]] # list position of symbol (by id == msg[2])
attr(data[[id]],"index") <- as.numeric(Sys.time())
nr.data <- NROW(data[[id]])
if(tickType == .twsTickType$MODEL_OPTION) {
data[[id]][nr.data,1:8] <- msg[4:11]
}
#else
# if(tickType == .twsTickType$ASK) {
# data[[id]][nr.data,2] <- msg[4]
# }
eW$assign.Data("data", data)
c(curMsg, msg)
}
return(eW)
}发布于 2020-08-01 03:03:33
它花了一些时间,但我得到了它的工作。
> eWrapper.data.Opt_Model <- function(n) { eW <- eWrapper(NULL) # use
> basic template eW$assign.Data("data",
> rep(list(structure(.xts(matrix(rep(NA_real_,8),nc=8),0),
> .Dimnames=list(NULL,c('modelOption: impVol: ',' delta: ',' modelPrice:
> ',' pvDiv ',' gamma: ',' vega: ',' theta: ',' undPrice: ')))),n))
> eW$tickOptionComputation <- function(curMsg, msg, timestamp, file, ...) {
> tickType = msg[3]
> msg <- as.numeric(msg)
> id <- msg[2] #as.numeric(msg[2])
> data <- eW$get.Data("data") #[[1]] # list position of symbol (by id == msg[2])
> attr(data[[id]],"index") <- as.numeric(Sys.time())
> nr.data <- NROW(data[[id]])
> if(tickType == .twsTickType$MODEL_OPTION) {
> data[[id]][nr.data,1:8] <- msg[4:11]
> }
> #else
> # if(tickType == .twsTickType$ASK) {
> # data[[id]][nr.data,2] <- msg[4]
> # }
> eW$assign.Data("data", data)
> c(curMsg, msg) }
> return(eW) }https://stackoverflow.com/questions/62048512
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