bbgo_origin/pkg/indicator/drift.go

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package indicator
import (
"math"
"github.com/c9s/bbgo/pkg/types"
)
// Refer: https://tradingview.com/script/aDymGrFx-Drift-Study-Inspired-by-Monte-Carlo-Simulations-with-BM-KL/
// Brownian Motion's drift factor
// could be used in Monte Carlo Simulations
//go:generate callbackgen -type Drift
type Drift struct {
types.SeriesBase
types.IntervalWindow
chng *types.Queue
Values types.Float64Slice
SMA *SMA
LastValue float64
UpdateCallbacks []func(value float64)
}
func (inc *Drift) Update(value float64) {
if inc.chng == nil {
inc.SeriesBase.Series = inc
inc.SMA = &SMA{IntervalWindow: types.IntervalWindow{Interval: inc.Interval, Window: inc.Window}}
inc.chng = types.NewQueue(inc.Window)
inc.LastValue = value
return
}
var chng float64
if value == 0 {
chng = 0
} else {
chng = math.Log(value / inc.LastValue)
inc.LastValue = value
}
inc.SMA.Update(chng)
inc.chng.Update(chng)
if inc.chng.Length() >= inc.Window {
stdev := types.Stdev(inc.chng, inc.Window)
drift := inc.SMA.Last() - stdev*stdev*0.5
inc.Values.Push(drift)
}
}
func (inc *Drift) Index(i int) float64 {
if inc.Values == nil {
return 0
}
return inc.Values.Index(i)
}
func (inc *Drift) Last() float64 {
if inc.Values.Length() == 0 {
return 0
}
return inc.Values.Last()
}
func (inc *Drift) Length() int {
if inc.Values == nil {
return 0
}
return inc.Values.Length()
}
var _ types.SeriesExtend = &Drift{}
func (inc *Drift) PushK(k types.KLine) {
inc.Update(k.Close.Float64())
}
func (inc *Drift) CalculateAndUpdate(allKLines []types.KLine) {
if inc.chng == nil {
for _, k := range allKLines {
inc.PushK(k)
inc.EmitUpdate(inc.Last())
}
} else {
k := allKLines[len(allKLines)-1]
inc.PushK(k)
inc.EmitUpdate(inc.Last())
}
}
func (inc *Drift) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
if inc.Interval != interval {
return
}
inc.CalculateAndUpdate(window)
}
func (inc *Drift) Bind(updater KLineWindowUpdater) {
updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate)
}