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74 lines
1.8 KiB
Go
74 lines
1.8 KiB
Go
package supertrend
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import (
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"github.com/c9s/bbgo/pkg/bbgo"
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"github.com/c9s/bbgo/pkg/indicator"
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"github.com/c9s/bbgo/pkg/types"
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)
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// LinGre is Linear Regression baseline
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type LinGre struct {
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types.IntervalWindow
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baseLineSlope float64
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}
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// Update Linear Regression baseline slope
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func (lg *LinGre) Update(klines []types.KLine) {
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if len(klines) < lg.Window {
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lg.baseLineSlope = 0
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return
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}
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var sumX, sumY, sumXSqr, sumXY float64 = 0, 0, 0, 0
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end := len(klines) - 1 // The last kline
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for i := end; i >= end-lg.Window+1; i-- {
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val := klines[i].GetClose().Float64()
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per := float64(end - i + 1)
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sumX += per
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sumY += val
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sumXSqr += per * per
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sumXY += val * per
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}
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length := float64(lg.Window)
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slope := (length*sumXY - sumX*sumY) / (length*sumXSqr - sumX*sumX)
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average := sumY / length
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endPrice := average - slope*sumX/length + slope
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startPrice := endPrice + slope*(length-1)
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lg.baseLineSlope = (length - 1) / (endPrice - startPrice)
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log.Debugf("linear regression baseline slope: %f", lg.baseLineSlope)
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}
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func (lg *LinGre) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
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if lg.Interval != interval {
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return
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}
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lg.Update(window)
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}
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func (lg *LinGre) Bind(updater indicator.KLineWindowUpdater) {
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updater.OnKLineWindowUpdate(lg.handleKLineWindowUpdate)
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}
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// GetSignal get linear regression signal
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func (lg *LinGre) GetSignal() types.Direction {
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var lgSignal types.Direction = types.DirectionNone
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switch {
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case lg.baseLineSlope > 0:
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lgSignal = types.DirectionUp
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case lg.baseLineSlope < 0:
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lgSignal = types.DirectionDown
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}
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return lgSignal
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}
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// preloadLinGre preloads linear regression indicator
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func (lg *LinGre) preload(kLineStore *bbgo.MarketDataStore) {
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if klines, ok := kLineStore.KLinesOfInterval(lg.Interval); ok {
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lg.Update((*klines)[0:])
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}
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}
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