bbgo_origin/pkg/strategy/bollmaker/dynamic_spread.go

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package bollmaker
import (
"github.com/pkg/errors"
"math"
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"github.com/c9s/bbgo/pkg/bbgo"
"github.com/c9s/bbgo/pkg/indicator"
"github.com/c9s/bbgo/pkg/types"
)
type DynamicSpreadSettings struct {
AmpSpreadSettings *DynamicSpreadAmpSettings `json:"amplitude"`
WeightedBollWidthRatioSpreadSettings *DynamicSpreadBollWidthRatioSettings `json:"weightedBollWidth"`
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// deprecated
Enabled *bool `json:"enabled"`
// deprecated
types.IntervalWindow
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// deprecated. AskSpreadScale is used to define the ask spread range with the given percentage.
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AskSpreadScale *bbgo.PercentageScale `json:"askSpreadScale"`
// deprecated. BidSpreadScale is used to define the bid spread range with the given percentage.
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BidSpreadScale *bbgo.PercentageScale `json:"bidSpreadScale"`
}
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// Initialize dynamic spreads and preload SMAs
func (ds *DynamicSpreadSettings) Initialize(symbol string, session *bbgo.ExchangeSession, neutralBoll, defaultBoll *indicator.BOLL) {
switch {
case ds.Enabled != nil && !*ds.Enabled:
// do nothing
case ds.AmpSpreadSettings != nil:
ds.AmpSpreadSettings.initialize(symbol, session)
case ds.WeightedBollWidthRatioSpreadSettings != nil:
ds.WeightedBollWidthRatioSpreadSettings.initialize(neutralBoll, defaultBoll)
}
}
func (ds *DynamicSpreadSettings) IsEnabled() bool {
return ds.AmpSpreadSettings != nil || ds.WeightedBollWidthRatioSpreadSettings != nil
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}
// Update dynamic spreads
func (ds *DynamicSpreadSettings) Update(kline types.KLine) {
switch {
case ds.AmpSpreadSettings != nil:
ds.AmpSpreadSettings.update(kline)
case ds.WeightedBollWidthRatioSpreadSettings != nil:
// Boll bands are updated outside of settings. Do nothing.
default:
// Disabled. Do nothing.
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}
}
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// GetAskSpread returns current ask spread
func (ds *DynamicSpreadSettings) GetAskSpread() (askSpread float64, err error) {
switch {
case ds.AmpSpreadSettings != nil:
return ds.AmpSpreadSettings.getAskSpread()
case ds.WeightedBollWidthRatioSpreadSettings != nil:
return ds.WeightedBollWidthRatioSpreadSettings.getAskSpread()
default:
return 0, errors.New("dynamic spread is not enabled")
}
}
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// GetBidSpread returns current dynamic bid spread
func (ds *DynamicSpreadSettings) GetBidSpread() (bidSpread float64, err error) {
switch {
case ds.AmpSpreadSettings != nil:
return ds.AmpSpreadSettings.getBidSpread()
case ds.WeightedBollWidthRatioSpreadSettings != nil:
return ds.WeightedBollWidthRatioSpreadSettings.getBidSpread()
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default:
return 0, errors.New("dynamic spread is not enabled")
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}
}
type DynamicSpreadAmpSettings struct {
types.IntervalWindow
// AskSpreadScale is used to define the ask spread range with the given percentage.
AskSpreadScale *bbgo.PercentageScale `json:"askSpreadScale"`
// BidSpreadScale is used to define the bid spread range with the given percentage.
BidSpreadScale *bbgo.PercentageScale `json:"bidSpreadScale"`
dynamicAskSpread *indicator.SMA
dynamicBidSpread *indicator.SMA
}
func (ds *DynamicSpreadAmpSettings) initialize(symbol string, session *bbgo.ExchangeSession) {
ds.dynamicBidSpread = &indicator.SMA{IntervalWindow: types.IntervalWindow{Interval: ds.Interval, Window: ds.Window}}
ds.dynamicAskSpread = &indicator.SMA{IntervalWindow: types.IntervalWindow{Interval: ds.Interval, Window: ds.Window}}
kLineStore, _ := session.MarketDataStore(symbol)
if klines, ok := kLineStore.KLinesOfInterval(ds.Interval); ok {
for i := 0; i < len(*klines); i++ {
ds.update((*klines)[i])
}
}
}
func (ds *DynamicSpreadAmpSettings) update(kline types.KLine) {
ampl := (kline.GetHigh().Float64() - kline.GetLow().Float64()) / kline.GetOpen().Float64()
switch kline.Direction() {
case types.DirectionUp:
ds.dynamicAskSpread.Update(ampl)
ds.dynamicBidSpread.Update(0)
case types.DirectionDown:
ds.dynamicBidSpread.Update(ampl)
ds.dynamicAskSpread.Update(0)
default:
ds.dynamicAskSpread.Update(0)
ds.dynamicBidSpread.Update(0)
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}
}
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func (ds *DynamicSpreadAmpSettings) getAskSpread() (askSpread float64, err error) {
if ds.AskSpreadScale != nil && ds.dynamicAskSpread.Length() >= ds.Window {
askSpread, err = ds.AskSpreadScale.Scale(ds.dynamicAskSpread.Last())
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if err != nil {
log.WithError(err).Errorf("can not calculate dynamicAskSpread")
return 0, err
}
return askSpread, nil
}
return 0, errors.New("incomplete dynamic spread settings or not enough data yet")
}
func (ds *DynamicSpreadAmpSettings) getBidSpread() (bidSpread float64, err error) {
if ds.BidSpreadScale != nil && ds.dynamicBidSpread.Length() >= ds.Window {
bidSpread, err = ds.BidSpreadScale.Scale(ds.dynamicBidSpread.Last())
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if err != nil {
log.WithError(err).Errorf("can not calculate dynamicBidSpread")
return 0, err
}
return bidSpread, nil
}
return 0, errors.New("incomplete dynamic spread settings or not enough data yet")
}
type DynamicSpreadBollWidthRatioSettings struct {
// AskSpreadScale is used to define the ask spread range with the given percentage.
AskSpreadScale *bbgo.PercentageScale `json:"askSpreadScale"`
// BidSpreadScale is used to define the bid spread range with the given percentage.
BidSpreadScale *bbgo.PercentageScale `json:"bidSpreadScale"`
// Sensitivity factor of the weighting function: 1 / (1 + exp(-(x - mid) * sensitivity / width))
// A positive number. The greater factor, the sharper weighting function. Default set to 1.0 .
Sensitivity float64 `json:"sensitivity"`
neutralBoll *indicator.BOLL
defaultBoll *indicator.BOLL
}
func (ds *DynamicSpreadBollWidthRatioSettings) initialize(neutralBoll, defaultBoll *indicator.BOLL) {
ds.neutralBoll = neutralBoll
ds.defaultBoll = defaultBoll
if ds.Sensitivity <= 0. {
ds.Sensitivity = 1.
}
}
func (ds *DynamicSpreadBollWidthRatioSettings) getAskSpread() (askSpread float64, err error) {
askSpread, err = ds.AskSpreadScale.Scale(ds.getWeightedBBWidthRatio(true))
if err != nil {
log.WithError(err).Errorf("can not calculate dynamicAskSpread")
return 0, err
}
return askSpread, nil
}
func (ds *DynamicSpreadBollWidthRatioSettings) getBidSpread() (bidSpread float64, err error) {
bidSpread, err = ds.BidSpreadScale.Scale(ds.getWeightedBBWidthRatio(false))
if err != nil {
log.WithError(err).Errorf("can not calculate dynamicAskSpread")
return 0, err
}
return bidSpread, nil
}
func (ds *DynamicSpreadBollWidthRatioSettings) getWeightedBBWidthRatio(positiveSigmoid bool) float64 {
// Weight the width of Boll bands with sigmoid function and calculate the ratio after integral.
//
// Given the default band: moving average default_BB_mid, band from default_BB_lower to default_BB_upper.
// And the neutral band: from neutral_BB_lower to neutral_BB_upper.
// And a sensitivity factor alpha, which is a positive constant.
//
// width of default BB w = default_BB_upper - default_BB_lower
//
// 1 x - default_BB_mid
// sigmoid weighting function f(y) = ------------- where y = --------------------
// 1 + exp(-y) w / alpha
// Set the sigmoid weighting function:
// - To ask spread, the weighting density function d_weight(x) is sigmoid((x - default_BB_mid) / (w / alpha))
// - To bid spread, the weighting density function d_weight(x) is sigmoid((default_BB_mid - x) / (w / alpha))
// - The higher sensitivity factor alpha, the sharper weighting function.
//
// Then calculate the weighted band width ratio by taking integral of d_weight(x) from neutral_BB_lower to neutral_BB_upper:
// infinite integral of ask spread sigmoid weighting density function F(x) = (w / alpha) * ln(exp(x / (w / alpha)) + exp(default_BB_mid / (w / alpha)))
// infinite integral of bid spread sigmoid weighting density function F(x) = x - (w / alpha) * ln(exp(x / (w / alpha)) + exp(default_BB_mid / (w / alpha)))
// Note that we've rescaled the sigmoid function to fit default BB,
// the weighted default BB width is always calculated by integral(f of x from default_BB_lower to default_BB_upper)
// F(neutral_BB_upper) - F(neutral_BB_lower)
// weighted ratio = -------------------------------------------
// F(default_BB_upper) - F(default_BB_lower)
// - The wider neutral band get greater ratio
// - To ask spread, the higher neutral band get greater ratio
// - To bid spread, the lower neutral band get greater ratio
defaultMid := ds.defaultBoll.SMA.Last()
defaultUpper := ds.defaultBoll.UpBand.Last()
defaultLower := ds.defaultBoll.DownBand.Last()
defaultWidth := defaultUpper - defaultLower
neutralUpper := ds.neutralBoll.UpBand.Last()
neutralLower := ds.neutralBoll.DownBand.Last()
factor := defaultWidth / ds.Sensitivity
var weightedUpper, weightedLower, weightedDivUpper, weightedDivLower float64
if positiveSigmoid {
weightedUpper = factor * math.Log(math.Exp(neutralUpper/factor)+math.Exp(defaultMid/factor))
weightedLower = factor * math.Log(math.Exp(neutralLower/factor)+math.Exp(defaultMid/factor))
weightedDivUpper = factor * math.Log(math.Exp(defaultUpper/factor)+math.Exp(defaultMid/factor))
weightedDivLower = factor * math.Log(math.Exp(defaultLower/factor)+math.Exp(defaultMid/factor))
} else {
weightedUpper = neutralUpper - factor*math.Log(math.Exp(neutralUpper/factor)+math.Exp(defaultMid/factor))
weightedLower = neutralLower - factor*math.Log(math.Exp(neutralLower/factor)+math.Exp(defaultMid/factor))
weightedDivUpper = defaultUpper - factor*math.Log(math.Exp(defaultUpper/factor)+math.Exp(defaultMid/factor))
weightedDivLower = defaultLower - factor*math.Log(math.Exp(defaultLower/factor)+math.Exp(defaultMid/factor))
}
return (weightedUpper - weightedLower) / (weightedDivUpper - weightedDivLower)
}