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) }