exp moving average, renaming moving average to simple moving average.
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88
exp_moving_average_series.go
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88
exp_moving_average_series.go
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package chart
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const (
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// DefaultExponentialMovingAverageSigma is the default exponential smoothing factor.
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DefaultExponentialMovingAverageSigma = 0.25
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)
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// ExponentialMovingAverageSeries is a computed series.
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type ExponentialMovingAverageSeries struct {
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Name string
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Style Style
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YAxis YAxisType
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// Sigma is the 'smoothing factor' parameter.
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Sigma float64
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InnerSeries ValueProvider
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valueBuffer []float64
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}
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// GetName returns the name of the time series.
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func (mas ExponentialMovingAverageSeries) GetName() string {
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return mas.Name
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}
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// GetStyle returns the line style.
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func (mas ExponentialMovingAverageSeries) GetStyle() Style {
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return mas.Style
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}
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// GetYAxis returns which YAxis the series draws on.
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func (mas ExponentialMovingAverageSeries) GetYAxis() YAxisType {
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return mas.YAxis
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}
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// Len returns the number of elements in the series.
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func (mas *ExponentialMovingAverageSeries) Len() int {
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return mas.InnerSeries.Len()
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}
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// GetSigma returns the smoothing factor for the serise.
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func (mas ExponentialMovingAverageSeries) GetSigma(defaults ...float64) float64 {
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if mas.Sigma == 0 {
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if len(defaults) > 0 {
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return defaults[0]
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}
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return DefaultExponentialMovingAverageSigma
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}
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return mas.Sigma
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}
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// GetValue gets a value at a given index.
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func (mas *ExponentialMovingAverageSeries) GetValue(index int) (x float64, y float64) {
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if mas.InnerSeries == nil {
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return
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}
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if mas.valueBuffer == nil || index == 0 {
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mas.valueBuffer = make([]float64, mas.InnerSeries.Len())
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}
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vx, vy := mas.InnerSeries.GetValue(index)
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x = vx
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if index == 0 {
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mas.valueBuffer[0] = vy
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y = vy
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return
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}
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sig := mas.GetSigma()
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mas.valueBuffer[index] = sig*vy + ((1.0 - sig) * mas.valueBuffer[index-1])
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y = mas.valueBuffer[index]
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return
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}
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// GetLastValue computes the last moving average value but walking back window size samples,
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// and recomputing the last moving average chunk.
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func (mas ExponentialMovingAverageSeries) GetLastValue() (x float64, y float64) {
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if mas.InnerSeries == nil {
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return
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}
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return 0.0, 0.0 //this one is going to be a bitch.
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}
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// Render renders the series.
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func (mas *ExponentialMovingAverageSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) {
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style := mas.Style.WithDefaultsFrom(defaults)
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DrawLineSeries(r, canvasBox, xrange, yrange, style, mas)
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}
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31
exp_moving_average_series_test.go
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31
exp_moving_average_series_test.go
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@ -0,0 +1,31 @@
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package chart
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import (
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"math"
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"testing"
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"github.com/blendlabs/go-assert"
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)
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func TestExponentialMovingAverageSeries(t *testing.T) {
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assert := assert.New(t)
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mockSeries := mockValueProvider{
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Seq(1.0, 10.0),
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Seq(10, 1.0),
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}
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assert.Equal(10, mockSeries.Len())
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mas := &ExponentialMovingAverageSeries{
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InnerSeries: mockSeries,
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}
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var yvalues []float64
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for x := 0; x < mas.Len(); x++ {
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_, y := mas.GetValue(x)
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yvalues = append(yvalues, y)
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}
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assert.Equal(10.0, yvalues[0])
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assert.True(math.Abs(yvalues[9]-3.77) < 0.01)
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}
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@ -5,8 +5,8 @@ const (
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DefaultMovingAverageWindowSize = 5
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DefaultMovingAverageWindowSize = 5
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)
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)
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// MovingAverageSeries is a computed series.
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// SimpleMovingAverageSeries is a computed series.
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type MovingAverageSeries struct {
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type SimpleMovingAverageSeries struct {
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Name string
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Name string
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Style Style
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Style Style
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YAxis YAxisType
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YAxis YAxisType
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@ -18,27 +18,27 @@ type MovingAverageSeries struct {
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}
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}
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// GetName returns the name of the time series.
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// GetName returns the name of the time series.
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func (mas MovingAverageSeries) GetName() string {
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func (mas SimpleMovingAverageSeries) GetName() string {
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return mas.Name
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return mas.Name
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}
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}
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// GetStyle returns the line style.
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// GetStyle returns the line style.
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func (mas MovingAverageSeries) GetStyle() Style {
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func (mas SimpleMovingAverageSeries) GetStyle() Style {
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return mas.Style
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return mas.Style
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}
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}
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// GetYAxis returns which YAxis the series draws on.
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// GetYAxis returns which YAxis the series draws on.
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func (mas MovingAverageSeries) GetYAxis() YAxisType {
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func (mas SimpleMovingAverageSeries) GetYAxis() YAxisType {
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return mas.YAxis
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return mas.YAxis
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}
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}
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// Len returns the number of elements in the series.
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// Len returns the number of elements in the series.
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func (mas *MovingAverageSeries) Len() int {
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func (mas *SimpleMovingAverageSeries) Len() int {
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return mas.InnerSeries.Len()
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return mas.InnerSeries.Len()
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}
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}
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// GetValue gets a value at a given index.
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// GetValue gets a value at a given index.
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func (mas *MovingAverageSeries) GetValue(index int) (x float64, y float64) {
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func (mas *SimpleMovingAverageSeries) GetValue(index int) (x float64, y float64) {
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if mas.InnerSeries == nil {
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if mas.InnerSeries == nil {
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return
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return
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}
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}
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@ -57,7 +57,7 @@ func (mas *MovingAverageSeries) GetValue(index int) (x float64, y float64) {
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// GetLastValue computes the last moving average value but walking back window size samples,
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// GetLastValue computes the last moving average value but walking back window size samples,
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// and recomputing the last moving average chunk.
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// and recomputing the last moving average chunk.
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func (mas MovingAverageSeries) GetLastValue() (x float64, y float64) {
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func (mas SimpleMovingAverageSeries) GetLastValue() (x float64, y float64) {
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if mas.InnerSeries == nil {
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if mas.InnerSeries == nil {
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return
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return
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}
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}
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@ -78,7 +78,7 @@ func (mas MovingAverageSeries) GetLastValue() (x float64, y float64) {
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}
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}
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// GetWindowSize returns the window size.
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// GetWindowSize returns the window size.
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func (mas MovingAverageSeries) GetWindowSize(defaults ...int) int {
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func (mas SimpleMovingAverageSeries) GetWindowSize(defaults ...int) int {
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if mas.WindowSize == 0 {
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if mas.WindowSize == 0 {
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if len(defaults) > 0 {
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if len(defaults) > 0 {
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return defaults[0]
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return defaults[0]
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@ -88,7 +88,7 @@ func (mas MovingAverageSeries) GetWindowSize(defaults ...int) int {
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return mas.WindowSize
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return mas.WindowSize
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}
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}
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func (mas MovingAverageSeries) getAverage(valueBuffer *RingBuffer) float64 {
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func (mas SimpleMovingAverageSeries) getAverage(valueBuffer *RingBuffer) float64 {
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var accum float64
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var accum float64
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valueBuffer.Each(func(v interface{}) {
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valueBuffer.Each(func(v interface{}) {
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if typed, isTyped := v.(float64); isTyped {
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if typed, isTyped := v.(float64); isTyped {
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@ -99,7 +99,7 @@ func (mas MovingAverageSeries) getAverage(valueBuffer *RingBuffer) float64 {
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}
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}
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// Render renders the series.
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// Render renders the series.
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func (mas *MovingAverageSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) {
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func (mas *SimpleMovingAverageSeries) Render(r Renderer, canvasBox Box, xrange, yrange Range, defaults Style) {
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style := mas.Style.WithDefaultsFrom(defaults)
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style := mas.Style.WithDefaultsFrom(defaults)
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DrawLineSeries(r, canvasBox, xrange, yrange, style, mas)
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DrawLineSeries(r, canvasBox, xrange, yrange, style, mas)
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}
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}
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@ -21,7 +21,7 @@ func (m mockValueProvider) GetValue(index int) (x, y float64) {
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return
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return
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}
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}
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func TestMovingAverageSeriesGetValue(t *testing.T) {
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func TestSimpleMovingAverageSeriesGetValue(t *testing.T) {
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assert := assert.New(t)
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assert := assert.New(t)
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mockSeries := mockValueProvider{
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mockSeries := mockValueProvider{
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@ -30,7 +30,7 @@ func TestMovingAverageSeriesGetValue(t *testing.T) {
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}
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}
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assert.Equal(10, mockSeries.Len())
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assert.Equal(10, mockSeries.Len())
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mas := &MovingAverageSeries{
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mas := &SimpleMovingAverageSeries{
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InnerSeries: mockSeries,
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InnerSeries: mockSeries,
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WindowSize: 10,
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WindowSize: 10,
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}
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}
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@ -52,7 +52,7 @@ func TestMovingAverageSeriesGetValue(t *testing.T) {
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assert.Equal(6.0, yvalues[8])
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assert.Equal(6.0, yvalues[8])
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}
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}
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func TestMovingAverageSeriesGetLastValueWindowOverlap(t *testing.T) {
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func TestSimpleMovingAverageSeriesGetLastValueWindowOverlap(t *testing.T) {
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assert := assert.New(t)
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assert := assert.New(t)
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mockSeries := mockValueProvider{
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mockSeries := mockValueProvider{
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@ -61,7 +61,7 @@ func TestMovingAverageSeriesGetLastValueWindowOverlap(t *testing.T) {
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}
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}
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assert.Equal(10, mockSeries.Len())
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assert.Equal(10, mockSeries.Len())
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mas := &MovingAverageSeries{
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mas := &SimpleMovingAverageSeries{
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InnerSeries: mockSeries,
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InnerSeries: mockSeries,
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WindowSize: 15,
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WindowSize: 15,
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}
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}
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@ -78,7 +78,7 @@ func TestMovingAverageSeriesGetLastValueWindowOverlap(t *testing.T) {
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assert.Equal(yvalues[len(yvalues)-1], ly)
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assert.Equal(yvalues[len(yvalues)-1], ly)
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}
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}
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func TestMovingAverageSeriesGetLastValue(t *testing.T) {
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func TestSimpleMovingAverageSeriesGetLastValue(t *testing.T) {
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assert := assert.New(t)
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assert := assert.New(t)
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mockSeries := mockValueProvider{
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mockSeries := mockValueProvider{
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@ -87,7 +87,7 @@ func TestMovingAverageSeriesGetLastValue(t *testing.T) {
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}
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}
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assert.Equal(100, mockSeries.Len())
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assert.Equal(100, mockSeries.Len())
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mas := &MovingAverageSeries{
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mas := &SimpleMovingAverageSeries{
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InnerSeries: mockSeries,
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InnerSeries: mockSeries,
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WindowSize: 10,
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WindowSize: 10,
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}
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}
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@ -60,7 +60,7 @@ func chartHandler(rc *web.RequestContext) web.ControllerResult {
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},
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},
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}
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}
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s1ma := &chart.BollingerBandsSeries{
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s1bb := &chart.BollingerBandsSeries{
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Name: "BBS",
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Name: "BBS",
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Style: chart.Style{
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Style: chart.Style{
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Show: true,
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Show: true,
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@ -72,6 +72,24 @@ func chartHandler(rc *web.RequestContext) web.ControllerResult {
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InnerSeries: s1,
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InnerSeries: s1,
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}
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}
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s1sma := &chart.SimpleMovingAverageSeries{
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Style: chart.Style{
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Show: true,
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StrokeColor: drawing.ColorRed,
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StrokeDashArray: []float64{5.0, 5.0},
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},
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InnerSeries: s1,
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}
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s1ema := &chart.ExponentialMovingAverageSeries{
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Style: chart.Style{
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Show: true,
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StrokeColor: drawing.ColorBlue,
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StrokeDashArray: []float64{5.0, 5.0},
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},
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InnerSeries: s1,
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}
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c := chart.Chart{
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c := chart.Chart{
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Title: "A Test Chart",
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Title: "A Test Chart",
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TitleStyle: chart.Style{
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TitleStyle: chart.Style{
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@ -102,9 +120,11 @@ func chartHandler(rc *web.RequestContext) web.ControllerResult {
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},
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},
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},
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},
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Series: []chart.Series{
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Series: []chart.Series{
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s1bb,
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s1,
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s1,
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s1ma,
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s1lv,
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s1lv,
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s1sma,
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s1ema,
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},
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},
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}
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}
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