package indicator import ( "time" log "github.com/sirupsen/logrus" "github.com/c9s/bbgo/pkg/types" ) /* vwma implements the volume weighted moving average (VWMA) indicator: Calculation: pv = element-wise multiplication of close prices and volumes VWMA = SMA(pv, window) / SMA(volumes, window) Volume Weighted Moving Average - https://www.motivewave.com/studies/volume_weighted_moving_average.htm */ //go:generate callbackgen -type VWMA type VWMA struct { types.SeriesBase types.IntervalWindow Values types.Float64Slice EndTime time.Time UpdateCallbacks []func(value float64) } func (inc *VWMA) Last() float64 { if len(inc.Values) == 0 { return 0.0 } return inc.Values[len(inc.Values)-1] } func (inc *VWMA) Index(i int) float64 { length := len(inc.Values) if length == 0 || length-i-1 < 0 { return 0 } return inc.Values[length-i-1] } func (inc *VWMA) Length() int { return len(inc.Values) } var _ types.SeriesExtend = &VWMA{} func (inc *VWMA) CalculateAndUpdate(allKLines []types.KLine) { if len(allKLines) < inc.Window { return } var index = len(allKLines) - 1 var kline = allKLines[index] if inc.EndTime != zeroTime && kline.EndTime.Before(inc.EndTime) { return } var recentK = allKLines[index-(inc.Window-1) : index+1] pv, err := calculateSMA(recentK, inc.Window, KLinePriceVolumeMapper) if err != nil { log.WithError(err).Error("price x volume SMA error") return } v, err := calculateSMA(recentK, inc.Window, KLineVolumeMapper) if err != nil { log.WithError(err).Error("volume SMA error") return } if len(inc.Values) == 0 { inc.SeriesBase.Series = inc } vwma := pv / v inc.Values.Push(vwma) if len(inc.Values) > MaxNumOfSMA { inc.Values = inc.Values[MaxNumOfSMATruncateSize-1:] } inc.EndTime = allKLines[index].EndTime.Time() inc.EmitUpdate(vwma) } func (inc *VWMA) handleKLineWindowUpdate(interval types.Interval, window types.KLineWindow) { if inc.Interval != interval { return } inc.CalculateAndUpdate(window) } func (inc *VWMA) Bind(updater KLineWindowUpdater) { updater.OnKLineWindowUpdate(inc.handleKLineWindowUpdate) }