如何使用 quantmod 在新图中叠加多个 TA? [英] How to overlay multiple TA in new plot using quantmod?

问题描述

我们可以使用图表系列函数绘制蜡烛图chartSeries(Cl(PSEC)) 我创建了一些自定义值 (I1,I2> 和 I3)，我想在烛条图案之外一起绘制(叠加).为此，我使用了 addTA()

We can plot candle stick chart using chart series function chartSeries(Cl(PSEC)) I have created some custom values (I1,I2 and I3) which I want to plot together(overlay) outside the candle stick pattern. I have used addTA() for this purpose

chartSeries(Cl(PSEC)), TA="addTA(I1,col=2);addTA(I2,col=3);addTA(I3,col=4)")

问题是它分别为 Cl(PSEC),I1,I2 和 I3 绘制了四个图，而不是我想要的两个图 Cl(PSEC) 和 (I1,I2,I3)

The problem is that it plots four plots for Cl(PSEC),I1,I2 and I3 separately instead of two plots which I want Cl(PSEC) and (I1,I2,I3)

已编辑

为了清楚起见，我给出了一个示例代码，其中包含为此目的创建的 I1、I2 和 I3 变量

For clarity I am giving a sample code with I1, I2 and I3 variable created for this purpose

library(quantmod)
PSEC=getSymbols("PSEC",auto.assign=F)
price=Cl(PSEC)
I1=SMA(price,3)
I2=SMA(price,10)
I3=SMA(price,15)
chartSeries(price, TA="addTA(I1,col=2);addTA(I2,col=3);addTA(I3,col=4)")

推荐答案

这里有一个选项可以在很大程度上保留您的原始代码.您可以在第一个之后使用选项 on=2 为每个 TA 获得所需的结果:

Here is an option which preserves largely your original code. You can obtain the desired result using the option on=2 for each TA after the first:

library(quantmod)
getSymbols("PSEC")
price <- Cl(PSEC)
I1 <- SMA(price,3)
I2 <- SMA(price,10)
I3 <- SMA(price,15)
chartSeries(price, TA=list("addTA(I1, col=2)", "addTA(I2, col=4, on=2)",
                           "addTA(I3, col=5, on=2)"), subset = "last 6 months")

如果您想在一张图表中叠加价格和 SMA，您可以为每个 TA 使用选项 on=1.

If you want to overlay the price and the SMAs in one chart, you can use the option on=1 for each TA.

感谢@hvollmeier，他的回答让我意识到我在之前版本的回答中误解了您的问题.

Thanks to @hvollmeier who made me realize with his answer that I had misunderstood your question in the previous version of my answer.

PS:请注意，?addSMA() 中描述了几个选项，包括 with.col 可用于选择时间序列的特定列(Cl是默认列).

PS: Note that several options are described in ?addSMA(), including with.col which can be used to select a specific column of the time series (Cl is the default column).

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