R quantmod addTA函数改变颜色
R quantmod addTA function change color
首先,我使用 TTR 包中的 stoch 函数来计算慢随机,然后使用 addTA 函数将其添加到 chartSeries 函数的绘图中,但是,绘图中的这两行是黑色的,我想把它们换成不同的颜色。
Input:
chartSeries(df, subset='last 3 years', TA = NULL, theme = "white", up.col = "green", dn.col = "red")
slow.stoc <- stoch(na.omit(HLC(df)), 25, 25, 9, 'SMA')[,2:3]
addTA(slow.stoc)
我尝试使用:
lines(slow.stoc[2], col="red", lty="solid")
addLines(slow.stoc[2], col = "red")
但是两者都不起作用。请指教。谢谢。
试试这个:
chartSeries(df, subset='last 3 years', TA = NULL, theme = "white", up.col = "green", dn.col = "red")
slow.stoc <- stoch(na.omit(HLC(df)), 25, 25, 9, 'SMA')[,2:3]
addTA(slow.stoc, col = c("red", "green"))
或者,我建议使用增强的 chart_Series
:
library(quantmod)
# optional, set up bar colours as in your question, for chart_Series:
getSymbols("GOOG")
myTheme<-chart_theme()
myTheme$col$up.col<-'darkgreen'
myTheme$col$dn.col<-'darkred'
myTheme$col$dn.border <- 'black'
myTheme$col$up.border <- 'black'
myTheme$rylab <- FALSE
myTheme$col$grid <- "lightgrey"
# get your desired result
df <- GOOG
slow.stoc <- stoch(na.omit(HLC(df)), 25, 25, 9, 'SMA')[,2:3]
chart_Series(df, subset='2017', theme = myTheme)
add_TA(slow.stoc["2017", 1], col = "purple", lty = "dashed")
add_TA(slow.stoc["2017", 2], col = "red", lty = 3, on = 2)
首先,我使用 TTR 包中的 stoch 函数来计算慢随机,然后使用 addTA 函数将其添加到 chartSeries 函数的绘图中,但是,绘图中的这两行是黑色的,我想把它们换成不同的颜色。
Input:
chartSeries(df, subset='last 3 years', TA = NULL, theme = "white", up.col = "green", dn.col = "red")
slow.stoc <- stoch(na.omit(HLC(df)), 25, 25, 9, 'SMA')[,2:3]
addTA(slow.stoc)
我尝试使用:
lines(slow.stoc[2], col="red", lty="solid")
addLines(slow.stoc[2], col = "red")
但是两者都不起作用。请指教。谢谢。
试试这个:
chartSeries(df, subset='last 3 years', TA = NULL, theme = "white", up.col = "green", dn.col = "red")
slow.stoc <- stoch(na.omit(HLC(df)), 25, 25, 9, 'SMA')[,2:3]
addTA(slow.stoc, col = c("red", "green"))
或者,我建议使用增强的 chart_Series
:
library(quantmod)
# optional, set up bar colours as in your question, for chart_Series:
getSymbols("GOOG")
myTheme<-chart_theme()
myTheme$col$up.col<-'darkgreen'
myTheme$col$dn.col<-'darkred'
myTheme$col$dn.border <- 'black'
myTheme$col$up.border <- 'black'
myTheme$rylab <- FALSE
myTheme$col$grid <- "lightgrey"
# get your desired result
df <- GOOG
slow.stoc <- stoch(na.omit(HLC(df)), 25, 25, 9, 'SMA')[,2:3]
chart_Series(df, subset='2017', theme = myTheme)
add_TA(slow.stoc["2017", 1], col = "purple", lty = "dashed")
add_TA(slow.stoc["2017", 2], col = "red", lty = 3, on = 2)