104 lines
2.8 KiB
Go
104 lines
2.8 KiB
Go
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package indicator
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import (
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"git.qtrade.icu/lychiyu/qbtrade/pkg/datatype/floats"
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"git.qtrade.icu/lychiyu/qbtrade/pkg/types"
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)
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// Refer: Double Exponential Moving Average
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// Refer URL: https://investopedia.com/terms/d/double-exponential-moving-average.asp
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//
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// The Double Exponential Moving Average (DEMA) is a technical analysis indicator that is used to smooth price data and reduce the lag
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// associated with traditional moving averages. It is calculated by taking the exponentially weighted moving average of the input data,
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// and then taking the exponentially weighted moving average of that result. This double-smoothing process helps to eliminate much of the noise
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// in the original data and provides a more accurate representation of the underlying trend. The DEMA line is then plotted on the price chart,
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// which can be used to make predictions about future price movements. The DEMA is typically more responsive to changes in the underlying data
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// than a simple moving average, but may be less reliable in trending markets.
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//go:generate callbackgen -type DEMA
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type DEMA struct {
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types.IntervalWindow
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types.SeriesBase
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Values floats.Slice
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a1 *EWMA
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a2 *EWMA
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UpdateCallbacks []func(value float64)
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}
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func (inc *DEMA) Clone() *DEMA {
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out := &DEMA{
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IntervalWindow: inc.IntervalWindow,
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Values: inc.Values[:],
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a1: inc.a1.Clone(),
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a2: inc.a2.Clone(),
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}
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out.SeriesBase.Series = out
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return out
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}
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func (inc *DEMA) TestUpdate(value float64) *DEMA {
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out := inc.Clone()
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out.Update(value)
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return out
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}
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func (inc *DEMA) Update(value float64) {
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if len(inc.Values) == 0 {
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inc.SeriesBase.Series = inc
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inc.a1 = &EWMA{IntervalWindow: inc.IntervalWindow}
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inc.a2 = &EWMA{IntervalWindow: inc.IntervalWindow}
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}
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inc.a1.Update(value)
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inc.a2.Update(inc.a1.Last(0))
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inc.Values.Push(2*inc.a1.Last(0) - inc.a2.Last(0))
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if len(inc.Values) > MaxNumOfEWMA {
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inc.Values = inc.Values[MaxNumOfEWMATruncateSize-1:]
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}
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}
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func (inc *DEMA) Last(i int) float64 {
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return inc.Values.Last(i)
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}
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func (inc *DEMA) Index(i int) float64 {
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return inc.Last(i)
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}
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func (inc *DEMA) Length() int {
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return len(inc.Values)
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}
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var _ types.SeriesExtend = &DEMA{}
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func (inc *DEMA) PushK(k types.KLine) {
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inc.Update(k.Close.Float64())
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}
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func (inc *DEMA) CalculateAndUpdate(allKLines []types.KLine) {
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if inc.a1 == nil {
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for _, k := range allKLines {
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inc.PushK(k)
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inc.EmitUpdate(inc.Last(0))
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}
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} else {
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// last k
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k := allKLines[len(allKLines)-1]
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inc.PushK(k)
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inc.EmitUpdate(inc.Last(0))
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}
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}
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func (inc *DEMA) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
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if inc.Interval != interval {
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return
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}
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inc.CalculateAndUpdate(window)
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}
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func (inc *DEMA) Bind(updater KLineWindowUpdater) {
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updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate)
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}
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