2022-05-31 09:43:30 +00:00
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package indicator
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import (
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"math"
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"time"
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2022-07-13 16:41:20 +00:00
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"github.com/sirupsen/logrus"
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2022-08-25 09:31:42 +00:00
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"github.com/c9s/bbgo/pkg/datatype/floats"
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2022-05-31 09:43:30 +00:00
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"github.com/c9s/bbgo/pkg/types"
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)
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2022-06-15 04:23:41 +00:00
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var logst = logrus.WithField("indicator", "supertrend")
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2022-12-13 05:02:38 +00:00
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// The Super Trend is a technical analysis indicator that is used to identify potential buy and sell signals in a security's price. It is
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// calculated by combining the exponential moving average (EMA) and the average true range (ATR) of the security's price, and then plotting
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// the resulting value on the price chart as a line. The Super Trend line is typically used to identify potential entry and exit points
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// for trades, and can be used to confirm other technical analysis signals. It is typically more responsive to changes in the underlying
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// data than other trend-following indicators, but may be less reliable in trending markets. It is important to note that the Super Trend is a
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// lagging indicator, which means that it may not always provide accurate or timely signals.
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//
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// To use Super Trend, identify potential entry and exit points for trades by looking for crossovers or divergences between the Super Trend line
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// and the security's price. For example, a buy signal may be generated when the Super Trend line crosses above the security's price, while a sell
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// signal may be generated when the Super Trend line crosses below the security's price.
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2022-05-31 09:43:30 +00:00
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//go:generate callbackgen -type Supertrend
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type Supertrend struct {
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types.SeriesBase
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types.IntervalWindow
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ATRMultiplier float64 `json:"atrMultiplier"`
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AverageTrueRange *ATR
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2023-01-14 15:13:10 +00:00
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trendPrices floats.Slice // Value of the trend line (buy or sell)
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supportLine floats.Slice // The support line in an uptrend (green)
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resistanceLine floats.Slice // The resistance line in a downtrend (red)
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closePrice float64
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previousClosePrice float64
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uptrendPrice float64
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previousUptrendPrice float64
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downtrendPrice float64
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previousDowntrendPrice float64
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trend types.Direction
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previousTrend types.Direction
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tradeSignal types.Direction
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EndTime time.Time
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UpdateCallbacks []func(value float64)
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}
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2023-05-31 11:35:44 +00:00
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func (inc *Supertrend) Last(i int) float64 {
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return inc.trendPrices.Last(i)
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}
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func (inc *Supertrend) Index(i int) float64 {
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return inc.Last(i)
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}
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func (inc *Supertrend) Length() int {
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return len(inc.trendPrices)
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}
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2022-05-31 09:43:30 +00:00
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func (inc *Supertrend) Update(highPrice, lowPrice, closePrice float64) {
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if inc.Window <= 0 {
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panic("window must be greater than 0")
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}
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2022-06-29 12:49:02 +00:00
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if inc.AverageTrueRange == nil {
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inc.SeriesBase.Series = inc
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}
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2022-05-31 09:43:30 +00:00
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// Start with DirectionUp
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if inc.trend != types.DirectionUp && inc.trend != types.DirectionDown {
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inc.trend = types.DirectionUp
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}
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// Update ATR
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inc.AverageTrueRange.Update(highPrice, lowPrice, closePrice)
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// Update last prices
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inc.previousUptrendPrice = inc.uptrendPrice
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inc.previousDowntrendPrice = inc.downtrendPrice
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inc.previousClosePrice = inc.closePrice
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inc.previousTrend = inc.trend
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inc.closePrice = closePrice
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src := (highPrice + lowPrice) / 2
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// Update uptrend
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inc.uptrendPrice = src - inc.AverageTrueRange.Last(0)*inc.ATRMultiplier
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if inc.previousClosePrice > inc.previousUptrendPrice {
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inc.uptrendPrice = math.Max(inc.uptrendPrice, inc.previousUptrendPrice)
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}
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// Update downtrend
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inc.downtrendPrice = src + inc.AverageTrueRange.Last(0)*inc.ATRMultiplier
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if inc.previousClosePrice < inc.previousDowntrendPrice {
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inc.downtrendPrice = math.Min(inc.downtrendPrice, inc.previousDowntrendPrice)
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}
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// Update trend
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if inc.previousTrend == types.DirectionUp && inc.closePrice < inc.previousUptrendPrice {
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inc.trend = types.DirectionDown
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} else if inc.previousTrend == types.DirectionDown && inc.closePrice > inc.previousDowntrendPrice {
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inc.trend = types.DirectionUp
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} else {
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inc.trend = inc.previousTrend
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}
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// Update signal
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if inc.AverageTrueRange.Last(0) <= 0 {
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inc.tradeSignal = types.DirectionNone
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} else if inc.trend == types.DirectionUp && inc.previousTrend == types.DirectionDown {
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inc.tradeSignal = types.DirectionUp
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} else if inc.trend == types.DirectionDown && inc.previousTrend == types.DirectionUp {
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inc.tradeSignal = types.DirectionDown
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} else {
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inc.tradeSignal = types.DirectionNone
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}
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// Update trend price
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if inc.trend == types.DirectionDown {
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inc.trendPrices.Push(inc.downtrendPrice)
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} else {
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inc.trendPrices.Push(inc.uptrendPrice)
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}
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2023-01-14 15:13:10 +00:00
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// Save the trend lines
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inc.supportLine.Push(inc.uptrendPrice)
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inc.resistanceLine.Push(inc.downtrendPrice)
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2022-06-15 04:23:41 +00:00
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logst.Debugf("Update supertrend result: closePrice: %v, uptrendPrice: %v, downtrendPrice: %v, trend: %v,"+
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" tradeSignal: %v, AverageTrueRange.Last(): %v", inc.closePrice, inc.uptrendPrice, inc.downtrendPrice,
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inc.trend, inc.tradeSignal, inc.AverageTrueRange.Last(0))
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}
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2022-06-01 03:37:27 +00:00
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func (inc *Supertrend) GetSignal() types.Direction {
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return inc.tradeSignal
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}
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2023-01-15 09:25:22 +00:00
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// GetDirection return the current trend
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func (inc *Supertrend) Direction() types.Direction {
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return inc.trend
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}
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2023-01-15 09:25:22 +00:00
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// LastSupertrendSupport return the current supertrend support
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func (inc *Supertrend) LastSupertrendSupport() float64 {
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return inc.supportLine.Last(0)
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}
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2023-01-15 09:25:22 +00:00
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// LastSupertrendResistance return the current supertrend resistance
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func (inc *Supertrend) LastSupertrendResistance() float64 {
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return inc.resistanceLine.Last(0)
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}
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2022-06-29 12:49:02 +00:00
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var _ types.SeriesExtend = &Supertrend{}
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2022-07-13 16:41:20 +00:00
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func (inc *Supertrend) PushK(k types.KLine) {
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if inc.EndTime != zeroTime && k.EndTime.Before(inc.EndTime) {
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return
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}
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inc.Update(k.GetHigh().Float64(), k.GetLow().Float64(), k.GetClose().Float64())
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inc.EndTime = k.EndTime.Time()
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inc.EmitUpdate(inc.Last(0))
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}
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func (inc *Supertrend) BindK(target KLineClosedEmitter, symbol string, interval types.Interval) {
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target.OnKLineClosed(types.KLineWith(symbol, interval, inc.PushK))
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}
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func (inc *Supertrend) LoadK(allKLines []types.KLine) {
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for _, k := range allKLines {
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inc.PushK(k)
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}
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}
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func (inc *Supertrend) CalculateAndUpdate(kLines []types.KLine) {
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for _, k := range kLines {
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if inc.EndTime != zeroTime && !k.EndTime.After(inc.EndTime) {
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continue
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}
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inc.PushK(k)
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}
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inc.EmitUpdate(inc.Last(0))
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inc.EndTime = kLines[len(kLines)-1].EndTime.Time()
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}
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func (inc *Supertrend) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) {
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if inc.Interval != interval {
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return
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}
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2022-07-13 16:41:20 +00:00
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inc.CalculateAndUpdate(window)
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}
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func (inc *Supertrend) Bind(updater KLineWindowUpdater) {
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updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate)
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}
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