qbtrade/pkg/indicator/drift.go

143 lines
3.8 KiB
Go
Raw Normal View History

2024-06-27 14:42:38 +00:00
package indicator
import (
"math"
"git.qtrade.icu/lychiyu/qbtrade/pkg/datatype/floats"
"git.qtrade.icu/lychiyu/qbtrade/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
//
// In the context of Brownian motion, drift can be measured by calculating the simple moving average (SMA) of the logarithm
// of the price changes of a security over a specified period of time. This SMA can be used to identify the long-term trend
// or bias in the random movement of the security's price. A security with a positive drift is said to be trending upwards,
// while a security with a negative drift is said to be trending downwards. Drift can be used by traders to identify potential
// entry and exit points for trades, or to confirm other technical analysis signals.
// It is typically used in conjunction with other indicators to provide a more comprehensive view of the security's price.
//go:generate callbackgen -type Drift
type Drift struct {
types.SeriesBase
types.IntervalWindow
chng *types.Queue
Values floats.Slice
MA types.UpdatableSeriesExtend
LastValue float64
UpdateCallbacks []func(value float64)
}
func (inc *Drift) Update(value float64) {
if inc.chng == nil {
inc.SeriesBase.Series = inc
if inc.MA == nil {
inc.MA = &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.MA.Update(chng)
inc.chng.Update(chng)
if inc.chng.Length() >= inc.Window {
stdev := types.Stdev(inc.chng, inc.Window)
drift := inc.MA.Last(0) - stdev*stdev*0.5
inc.Values.Push(drift)
}
}
// Assume that MA is SMA
func (inc *Drift) ZeroPoint() float64 {
window := float64(inc.Window)
stdev := types.Stdev(inc.chng, inc.Window)
chng := inc.chng.Index(inc.Window - 1)
/*b := -2 * inc.MA.Last() - 2
c := window * stdev * stdev - chng * chng + 2 * chng * (inc.MA.Last() + 1) - 2 * inc.MA.Last() * window
root := math.Sqrt(b*b - 4*c)
K1 := (-b + root)/2
K2 := (-b - root)/2
N1 := math.Exp(K1) * inc.LastValue
N2 := math.Exp(K2) * inc.LastValue
if math.Abs(inc.LastValue-N1) < math.Abs(inc.LastValue-N2) {
return N1
} else {
return N2
}*/
return inc.LastValue * math.Exp(window*(0.5*stdev*stdev)+chng-inc.MA.Last(0)*window)
}
func (inc *Drift) Clone() (out *Drift) {
out = &Drift{
IntervalWindow: inc.IntervalWindow,
chng: inc.chng.Clone(),
Values: inc.Values[:],
MA: types.Clone(inc.MA),
LastValue: inc.LastValue,
}
out.SeriesBase.Series = out
return out
}
func (inc *Drift) TestUpdate(value float64) *Drift {
out := inc.Clone()
out.Update(value)
return out
}
func (inc *Drift) Index(i int) float64 {
return inc.Last(i)
}
func (inc *Drift) Last(i int) float64 {
return inc.Values.Last(i)
}
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(0))
}
} else {
k := allKLines[len(allKLines)-1]
inc.PushK(k)
inc.EmitUpdate(inc.Last(0))
}
}
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)
}