go-chart/macd_series.go
2016-07-17 01:42:31 -07:00

111 lines
2.6 KiB
Go

package chart
const (
// DefaultMACDWindowPrimary is the long window.
DefaultMACDWindowPrimary = 26
// DefaultMACDWindowSecondary is the short window.
DefaultMACDWindowSecondary = 12
)
// MACDSeries (or Moving Average Convergence Divergence) is a special type of series that
// computes the difference between two different EMA values for a given index, as denoted by WindowPrimary(26) and WindowSecondary(12).
type MACDSeries struct {
Name string
Style Style
YAxis YAxisType
InnerSeries ValueProvider
WindowPrimary int
WindowSecondary int
Sigma float64
}
// GetWindows returns the primary and secondary window sizes.
func (macd MACDSeries) GetWindows() (w1, w2 int) {
if macd.WindowPrimary == 0 {
w1 = DefaultMACDWindowPrimary
} else {
w1 = macd.WindowPrimary
}
if macd.WindowSecondary == 0 {
w2 = DefaultMACDWindowSecondary
} else {
w2 = macd.WindowSecondary
}
return
}
// GetSigma returns the smoothing factor for the serise.
func (macd MACDSeries) GetSigma(defaults ...float64) float64 {
if macd.Sigma == 0 {
if len(defaults) > 0 {
return defaults[0]
}
return DefaultExponentialMovingAverageSigma
}
return macd.Sigma
}
// GetName returns the name of the time series.
func (macd MACDSeries) GetName() string {
return macd.Name
}
// GetStyle returns the line style.
func (macd MACDSeries) GetStyle() Style {
return macd.Style
}
// GetYAxis returns which YAxis the series draws on.
func (macd MACDSeries) GetYAxis() YAxisType {
return macd.YAxis
}
// Len returns the number of elements in the series.
func (macd MACDSeries) Len() int {
if macd.InnerSeries == nil {
return 0
}
w1, _ := macd.GetWindows()
innerLen := macd.InnerSeries.Len()
if innerLen > w1 {
return innerLen - w1
}
return 0
}
// GetValue gets a value at a given index.
func (macd MACDSeries) GetValue(index int) (x float64, y float64) {
if macd.InnerSeries == nil {
return
}
w1, w2 := macd.GetWindows()
effectiveIndex := index + w1
x, _ = macd.InnerSeries.GetValue(effectiveIndex)
ema1 := macd.computeEMA(w1, effectiveIndex)
ema2 := macd.computeEMA(w2, effectiveIndex)
y = ema1 - ema2
return
}
func (macd MACDSeries) computeEMA(windowSize int, index int) float64 {
_, v := macd.InnerSeries.GetValue(index)
if windowSize == 1 {
return v
}
sig := macd.GetSigma()
return sig*v + ((1.0 - sig) * macd.computeEMA(windowSize-1, index-1))
}
// Render renders the series.
func (macd MACDSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) {
style := macd.Style.WithDefaultsFrom(defaults)
DrawLineSeries(r, canvasBox, xrange, yrange, style, macd)
}