bbgo_origin/pkg/indicator/sma.go

123 lines
2.4 KiB
Go
Raw Normal View History

2020-10-28 01:13:57 +00:00
package indicator
import (
2020-12-05 05:04:32 +00:00
"fmt"
2020-10-28 01:13:57 +00:00
"time"
2020-12-05 05:04:32 +00:00
log "github.com/sirupsen/logrus"
2020-10-28 01:13:57 +00:00
"github.com/c9s/bbgo/pkg/types"
)
2021-11-21 14:18:07 +00:00
const MaxNumOfSMA = 5_000
const MaxNumOfSMATruncateSize = 100
2020-10-28 01:13:57 +00:00
var zeroTime time.Time
2020-12-03 08:46:02 +00:00
//go:generate callbackgen -type SMA
2020-10-28 01:13:57 +00:00
type SMA struct {
types.SeriesBase
types.IntervalWindow
2021-05-22 12:20:48 +00:00
Values types.Float64Slice
2022-05-31 07:28:38 +00:00
Cache types.Float64Slice
2020-10-29 09:51:20 +00:00
EndTime time.Time
2020-12-03 08:46:02 +00:00
UpdateCallbacks []func(value float64)
2020-10-28 01:13:57 +00:00
}
func (inc *SMA) Last() float64 {
2021-10-14 06:22:07 +00:00
if len(inc.Values) == 0 {
return 0.0
}
return inc.Values[len(inc.Values)-1]
}
func (inc *SMA) Index(i int) float64 {
length := len(inc.Values)
if length == 0 || length-i-1 < 0 {
return 0.0
}
return inc.Values[length-i-1]
}
func (inc *SMA) Length() int {
return len(inc.Values)
}
var _ types.SeriesExtend = &SMA{}
2022-04-08 09:48:33 +00:00
func (inc *SMA) Update(value float64) {
2022-05-31 07:28:38 +00:00
if len(inc.Cache) < inc.Window {
if len(inc.Cache) == 0 {
inc.SeriesBase.Series = inc
}
2022-05-31 07:28:38 +00:00
inc.Cache = append(inc.Cache, value)
if len(inc.Cache) == inc.Window {
inc.Values = append(inc.Values, types.Mean(&inc.Cache))
}
2022-04-08 09:48:33 +00:00
return
2022-05-31 07:28:38 +00:00
2022-04-08 09:48:33 +00:00
}
2022-05-31 07:28:38 +00:00
length := len(inc.Values)
2022-04-08 09:48:33 +00:00
newVal := (inc.Values[length-1]*float64(inc.Window-1) + value) / float64(inc.Window)
inc.Values = append(inc.Values, newVal)
}
2020-10-28 01:13:57 +00:00
func (inc *SMA) calculateAndUpdate(kLines []types.KLine) {
if len(kLines) < inc.Window {
return
}
var index = len(kLines) - 1
var kline = kLines[index]
if inc.EndTime != zeroTime && kline.EndTime.Before(inc.EndTime) {
return
}
var recentK = kLines[index-(inc.Window-1) : index+1]
2020-12-05 05:04:32 +00:00
2020-12-05 05:32:16 +00:00
sma, err := calculateSMA(recentK, inc.Window, KLineClosePriceMapper)
2020-12-05 05:04:32 +00:00
if err != nil {
log.WithError(err).Error("SMA error")
return
}
2020-10-28 01:43:19 +00:00
inc.Values.Push(sma)
if len(inc.Values) > MaxNumOfSMA {
2021-11-21 18:14:44 +00:00
inc.Values = inc.Values[MaxNumOfSMATruncateSize-1:]
}
inc.EndTime = kLines[index].EndTime.Time()
2020-12-03 08:46:02 +00:00
inc.EmitUpdate(sma)
2020-10-28 01:13:57 +00:00
}
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)
2020-10-28 01:13:57 +00:00
}
2020-12-05 05:32:16 +00:00
func calculateSMA(kLines []types.KLine, window int, priceF KLinePriceMapper) (float64, error) {
2020-10-28 01:13:57 +00:00
length := len(kLines)
2020-12-05 05:04:32 +00:00
if length == 0 || length < window {
return 0.0, fmt.Errorf("insufficient elements for calculating SMA with window = %d", window)
2020-10-28 09:47:43 +00:00
}
sum := 0.0
2020-10-28 01:13:57 +00:00
for _, k := range kLines {
2020-12-05 05:32:16 +00:00
sum += priceF(k)
2020-10-28 01:13:57 +00:00
}
2020-12-05 05:04:32 +00:00
avg := sum / float64(window)
return avg, nil
2020-10-28 01:13:57 +00:00
}