bbgo_origin/pkg/indicator/sma.go

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package indicator
import (
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"fmt"
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"time"
"github.com/c9s/bbgo/pkg/types"
)
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const MaxNumOfSMA = 5_000
const MaxNumOfSMATruncateSize = 100
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var zeroTime time.Time
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//go:generate callbackgen -type SMA
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type SMA struct {
types.SeriesBase
types.IntervalWindow
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Values types.Float64Slice
Cache *types.Queue
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EndTime time.Time
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UpdateCallbacks []func(value float64)
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}
func (inc *SMA) Last() float64 {
if inc.Values.Length() == 0 {
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return 0.0
}
return inc.Values.Last()
}
func (inc *SMA) Index(i int) float64 {
if i >= inc.Values.Length() {
return 0.0
}
return inc.Values.Index(i)
}
func (inc *SMA) Length() int {
return inc.Values.Length()
}
var _ types.SeriesExtend = &SMA{}
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func (inc *SMA) Update(value float64) {
if inc.Cache == nil {
inc.Cache = types.NewQueue(inc.Window)
inc.SeriesBase.Series = inc
}
inc.Cache.Update(value)
if inc.Cache.Length() < inc.Window {
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return
}
inc.Values.Push(types.Mean(inc.Cache))
if inc.Values.Length() > MaxNumOfSMA {
inc.Values = inc.Values[MaxNumOfSMATruncateSize-1:]
}
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}
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func (inc *SMA) calculateAndUpdate(kLines []types.KLine) {
var index = len(kLines) - 1
var kline = kLines[index]
if inc.EndTime != zeroTime && kline.EndTime.Before(inc.EndTime) {
return
}
if inc.Cache == nil {
for _, k := range kLines {
inc.Update(KLineClosePriceMapper(k))
inc.EndTime = k.EndTime.Time()
inc.EmitUpdate(inc.Values.Last())
}
} else {
inc.Update(KLineClosePriceMapper(kline))
inc.EndTime = kline.EndTime.Time()
inc.EmitUpdate(inc.Values.Last())
}
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}
func (inc *SMA) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
if inc.Interval != interval {
return
}
inc.calculateAndUpdate(window)
}
func (inc *SMA) Bind(updater KLineWindowUpdater) {
updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate)
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}
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func calculateSMA(kLines []types.KLine, window int, priceF KLinePriceMapper) (float64, error) {
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length := len(kLines)
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if length == 0 || length < window {
return 0.0, fmt.Errorf("insufficient elements for calculating SMA with window = %d", window)
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}
sum := 0.0
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for _, k := range kLines {
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sum += priceF(k)
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}
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avg := sum / float64(window)
return avg, nil
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}