bbgo_origin/pkg/strategy/bollmaker/strategy.go

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package bollmaker
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import (
"context"
"fmt"
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"math"
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"sync"
"github.com/c9s/bbgo/pkg/indicator"
"github.com/c9s/bbgo/pkg/util"
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"github.com/pkg/errors"
"github.com/sirupsen/logrus"
"github.com/c9s/bbgo/pkg/bbgo"
"github.com/c9s/bbgo/pkg/fixedpoint"
"github.com/c9s/bbgo/pkg/types"
)
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// TODO:
// 1) add option for placing orders only when in neutral band
// 2) add option for only placing buy orders when price is below the SMA line
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const ID = "bollmaker"
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const stateKey = "state-v1"
var defaultFeeRate = fixedpoint.NewFromFloat(0.001)
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var notionModifier = fixedpoint.NewFromFloat(1.1)
var two = fixedpoint.NewFromInt(2)
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var log = logrus.WithField("strategy", ID)
func init() {
bbgo.RegisterStrategy(ID, &Strategy{})
}
// Deprecated: State is deprecated, please use the persistence tag
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type State struct {
// Deprecated: Position is deprecated, please define the Position field in the strategy struct directly.
Position *types.Position `json:"position,omitempty"`
// Deprecated: ProfitStats is deprecated, please define the ProfitStats field in the strategy struct directly.
ProfitStats types.ProfitStats `json:"profitStats,omitempty"`
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}
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type PositionStack struct {
Enabled bool `json:"enabled,omitempty"`
PushThreshold fixedpoint.Value `json:"pushThreshold,omitempty"`
PopThreshold fixedpoint.Value `json:"popThreshold,omitempty"`
}
type BollingerSetting struct {
types.IntervalWindow
BandWidth float64 `json:"bandWidth"`
}
type DynamicSpreadSettings struct {
Enabled bool `json:"enabled"`
// Window is the window of the SMAs of spreads
Window int `json:"window"`
// 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
}
// Update dynamic spreads
func (ds *DynamicSpreadSettings) Update(kline types.KLine) {
if !ds.Enabled {
return
}
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)
}
}
// GetAskSpread returns current ask spread
func (ds *DynamicSpreadSettings) GetAskSpread() (askSpread float64, err error) {
if !ds.Enabled {
return 0, errors.New("dynamic spread is not enabled")
}
if ds.AskSpreadScale != nil && ds.DynamicAskSpread.Length() >= ds.Window {
askSpread, err = ds.AskSpreadScale.Scale(ds.DynamicAskSpread.Last())
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")
}
// GetBidSpread returns current dynamic bid spread
func (ds *DynamicSpreadSettings) GetBidSpread() (bidSpread float64, err error) {
if !ds.Enabled {
return 0, errors.New("dynamic spread is not enabled")
}
if ds.BidSpreadScale != nil && ds.DynamicBidSpread.Length() >= ds.Window {
bidSpread, err = ds.BidSpreadScale.Scale(ds.DynamicBidSpread.Last())
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")
}
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type Strategy struct {
*bbgo.Graceful
*bbgo.Notifiability
*bbgo.Persistence
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Environment *bbgo.Environment
StandardIndicatorSet *bbgo.StandardIndicatorSet
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Market types.Market
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// Symbol is the market symbol you want to trade
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Symbol string `json:"symbol"`
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// Interval is how long do you want to update your order price and quantity
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Interval types.Interval `json:"interval"`
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bbgo.QuantityOrAmount
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// Spread is the price spread from the middle price.
// For ask orders, the ask price is ((bestAsk + bestBid) / 2 * (1.0 + spread))
// For bid orders, the bid price is ((bestAsk + bestBid) / 2 * (1.0 - spread))
// Spread can be set by percentage or floating number. e.g., 0.1% or 0.001
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Spread fixedpoint.Value `json:"spread"`
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// BidSpread overrides the spread setting, this spread will be used for the buy order
BidSpread fixedpoint.Value `json:"bidSpread,omitempty"`
// AskSpread overrides the spread setting, this spread will be used for the sell order
AskSpread fixedpoint.Value `json:"askSpread,omitempty"`
// DynamicSpread enables the automatic adjustment to bid and ask spread.
DynamicSpread DynamicSpreadSettings `json:"dynamicSpread,omitempty"`
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// MinProfitSpread is the minimal order price spread from the current average cost.
// For long position, you will only place sell order above the price (= average cost * (1 + minProfitSpread))
// For short position, you will only place buy order below the price (= average cost * (1 - minProfitSpread))
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MinProfitSpread fixedpoint.Value `json:"minProfitSpread"`
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// UseTickerPrice use the ticker api to get the mid price instead of the closed kline price.
// The back-test engine is kline-based, so the ticker price api is not supported.
// Turn this on if you want to do real trading.
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UseTickerPrice bool `json:"useTickerPrice"`
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// MaxExposurePosition is the maximum position you can hold
// +10 means you can hold 10 ETH long position by maximum
// -10 means you can hold -10 ETH short position by maximum
MaxExposurePosition fixedpoint.Value `json:"maxExposurePosition"`
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// DynamicExposurePositionScale is used to define the exposure position range with the given percentage
// when DynamicExposurePositionScale is set,
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// your MaxExposurePosition will be calculated dynamically according to the bollinger band you set.
DynamicExposurePositionScale *bbgo.PercentageScale `json:"dynamicExposurePositionScale"`
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// Long means your position will be long position
// Currently not used yet
Long *bool `json:"long,omitempty"`
// Short means your position will be long position
// Currently not used yet
Short *bool `json:"short,omitempty"`
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// DisableShort means you can don't want short position during the market making
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// Set to true if you want to hold more spot during market making.
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DisableShort bool `json:"disableShort"`
// BuyBelowNeutralSMA if true, the market maker will only place buy order when the current price is below the neutral band SMA.
BuyBelowNeutralSMA bool `json:"buyBelowNeutralSMA"`
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// NeutralBollinger is the smaller range of the bollinger band
// If price is in this band, it usually means the price is oscillating.
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// If price goes out of this band, we tend to not place sell orders or buy orders
NeutralBollinger *BollingerSetting `json:"neutralBollinger"`
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// DefaultBollinger is the wide range of the bollinger band
// for controlling your exposure position
DefaultBollinger *BollingerSetting `json:"defaultBollinger"`
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// DowntrendSkew is the order quantity skew for normal downtrend band.
// The price is still in the default bollinger band.
// greater than 1.0 means when placing buy order, place sell order with less quantity
// less than 1.0 means when placing sell order, place buy order with less quantity
DowntrendSkew fixedpoint.Value `json:"downtrendSkew"`
// UptrendSkew is the order quantity skew for normal uptrend band.
// The price is still in the default bollinger band.
// greater than 1.0 means when placing buy order, place sell order with less quantity
// less than 1.0 means when placing sell order, place buy order with less quantity
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UptrendSkew fixedpoint.Value `json:"uptrendSkew"`
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// TradeInBand
// When this is on, places orders only when the current price is in the bollinger band.
TradeInBand bool `json:"tradeInBand"`
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// ShadowProtection is used to avoid placing bid order when price goes down strongly (without shadow)
ShadowProtection bool `json:"shadowProtection"`
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ShadowProtectionRatio fixedpoint.Value `json:"shadowProtectionRatio"`
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bbgo.SmartStops
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session *bbgo.ExchangeSession
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book *types.StreamOrderBook
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state *State
PositionStack PositionStack
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// persistence fields
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Position *types.PositionStack `json:"position,omitempty" persistence:"position"`
ProfitStats *types.ProfitStats `json:"profitStats,omitempty" persistence:"profit_stats"`
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activeMakerOrders *bbgo.LocalActiveOrderBook
orderStore *bbgo.OrderStore
tradeCollector *bbgo.TradeCollector
groupID uint32
stopC chan struct{}
// defaultBoll is the BOLLINGER indicator we used for predicting the price.
defaultBoll *indicator.BOLL
// neutralBoll is the neutral price section
neutralBoll *indicator.BOLL
// StrategyController
bbgo.StrategyController
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}
func (s *Strategy) ID() string {
return ID
}
func (s *Strategy) InstanceID() string {
return fmt.Sprintf("%s:%s", ID, s.Symbol)
}
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func (s *Strategy) Initialize() error {
return s.SmartStops.InitializeStopControllers(s.Symbol)
}
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func (s *Strategy) Subscribe(session *bbgo.ExchangeSession) {
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
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Interval: s.Interval,
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})
if s.DefaultBollinger != nil && s.DefaultBollinger.Interval != "" {
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
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Interval: s.DefaultBollinger.Interval,
})
}
if s.NeutralBollinger != nil && s.NeutralBollinger.Interval != "" {
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
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Interval: s.NeutralBollinger.Interval,
})
}
s.SmartStops.Subscribe(session)
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}
func (s *Strategy) Validate() error {
if len(s.Symbol) == 0 {
return errors.New("symbol is required")
}
return nil
}
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func (s *Strategy) CurrentPosition() *types.PositionStack {
return s.Position
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}
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func (s *Strategy) ClosePosition(ctx context.Context, percentage fixedpoint.Value) error {
base := s.Position.GetBase()
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if base.IsZero() {
return fmt.Errorf("no opened %s position", s.Position.Symbol)
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}
// make it negative
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quantity := base.Mul(percentage).Abs()
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side := types.SideTypeBuy
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if base.Sign() > 0 {
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side = types.SideTypeSell
}
if quantity.Compare(s.Market.MinQuantity) < 0 {
return fmt.Errorf("order quantity %v is too small, less than %v", quantity, s.Market.MinQuantity)
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}
submitOrder := types.SubmitOrder{
Symbol: s.Symbol,
Side: side,
Type: types.OrderTypeMarket,
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Quantity: quantity,
Market: s.Market,
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}
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s.Notify("Submitting %s %s order to close position by %v", s.Symbol, side.String(), percentage, submitOrder)
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createdOrders, err := s.session.Exchange.SubmitOrders(ctx, submitOrder)
if err != nil {
log.WithError(err).Errorf("can not place position close order")
}
s.orderStore.Add(createdOrders...)
s.activeMakerOrders.Add(createdOrders...)
return err
}
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// Deprecated: LoadState method is migrated to the persistence struct tag.
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func (s *Strategy) LoadState() error {
var state State
// load position
if err := s.Persistence.Load(&state, ID, s.Symbol, stateKey); err == nil {
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s.state = &state
}
return nil
}
func (s *Strategy) getCurrentAllowedExposurePosition(bandPercentage float64) (fixedpoint.Value, error) {
if s.DynamicExposurePositionScale != nil {
v, err := s.DynamicExposurePositionScale.Scale(bandPercentage)
if err != nil {
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return fixedpoint.Zero, err
}
return fixedpoint.NewFromFloat(v), nil
}
return s.MaxExposurePosition, nil
}
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func (s *Strategy) placeOrders(ctx context.Context, orderExecutor bbgo.OrderExecutor, midPrice fixedpoint.Value, kline *types.KLine) {
bidSpread := s.Spread
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if s.BidSpread.Sign() > 0 {
bidSpread = s.BidSpread
}
askSpread := s.Spread
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if s.AskSpread.Sign() > 0 {
askSpread = s.AskSpread
}
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askPrice := midPrice.Mul(fixedpoint.One.Add(askSpread))
bidPrice := midPrice.Mul(fixedpoint.One.Sub(bidSpread))
base := s.Position.GetBase()
balances := s.session.GetAccount().Balances()
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log.Infof("mid price:%v spread: %s ask:%v bid: %v position: %s",
midPrice,
s.Spread.Percentage(),
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askPrice,
bidPrice,
s.Position,
)
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sellQuantity := s.QuantityOrAmount.CalculateQuantity(askPrice)
buyQuantity := s.QuantityOrAmount.CalculateQuantity(bidPrice)
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sellOrder := types.SubmitOrder{
Symbol: s.Symbol,
Side: types.SideTypeSell,
Type: types.OrderTypeLimitMaker,
Quantity: sellQuantity,
Price: askPrice,
Market: s.Market,
GroupID: s.groupID,
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}
buyOrder := types.SubmitOrder{
Symbol: s.Symbol,
Side: types.SideTypeBuy,
Type: types.OrderTypeLimitMaker,
Quantity: buyQuantity,
Price: bidPrice,
Market: s.Market,
GroupID: s.groupID,
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}
var submitOrders []types.SubmitOrder
baseBalance, hasBaseBalance := balances[s.Market.BaseCurrency]
quoteBalance, hasQuoteBalance := balances[s.Market.QuoteCurrency]
downBand := s.defaultBoll.LastDownBand()
upBand := s.defaultBoll.LastUpBand()
sma := s.defaultBoll.LastSMA()
log.Infof("bollinger band: up %f sma %f down %f", upBand, sma, downBand)
bandPercentage := calculateBandPercentage(upBand, downBand, sma, midPrice.Float64())
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log.Infof("mid price band percentage: %v", bandPercentage)
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maxExposurePosition, err := s.getCurrentAllowedExposurePosition(bandPercentage)
if err != nil {
log.WithError(err).Errorf("can not calculate CurrentAllowedExposurePosition")
return
}
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log.Infof("calculated max exposure position: %v", maxExposurePosition)
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canSell := true
canBuy := true
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if maxExposurePosition.Sign() > 0 && base.Compare(maxExposurePosition) > 0 {
canBuy = false
}
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if maxExposurePosition.Sign() > 0 {
if s.Long != nil && *s.Long && base.Sign() < 0 {
canSell = false
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} else if base.Compare(maxExposurePosition.Neg()) < 0 {
canSell = false
}
}
if s.ShadowProtection && kline != nil {
switch kline.Direction() {
case types.DirectionDown:
shadowHeight := kline.GetLowerShadowHeight()
shadowRatio := kline.GetLowerShadowRatio()
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if shadowHeight.IsZero() && shadowRatio.Compare(s.ShadowProtectionRatio) < 0 {
log.Infof("%s shadow protection enabled, lower shadow ratio %v < %v", s.Symbol, shadowRatio, s.ShadowProtectionRatio)
canBuy = false
}
case types.DirectionUp:
shadowHeight := kline.GetUpperShadowHeight()
shadowRatio := kline.GetUpperShadowRatio()
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if shadowHeight.IsZero() || shadowRatio.Compare(s.ShadowProtectionRatio) < 0 {
log.Infof("%s shadow protection enabled, upper shadow ratio %v < %v", s.Symbol, shadowRatio, s.ShadowProtectionRatio)
canSell = false
}
}
}
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// Apply quantity skew
// CASE #1:
// WHEN: price is in the neutral bollginer band (window 1) == neutral
// THEN: we don't apply skew
// CASE #2:
// WHEN: price is in the upper band (window 2 > price > window 1) == upTrend
// THEN: we apply upTrend skew
// CASE #3:
// WHEN: price is in the lower band (window 2 < price < window 1) == downTrend
// THEN: we apply downTrend skew
// CASE #4:
// WHEN: price breaks the lower band (price < window 2) == strongDownTrend
// THEN: we apply strongDownTrend skew
// CASE #5:
// WHEN: price breaks the upper band (price > window 2) == strongUpTrend
// THEN: we apply strongUpTrend skew
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if s.TradeInBand {
if !inBetween(midPrice.Float64(), s.neutralBoll.LastDownBand(), s.neutralBoll.LastUpBand()) {
log.Infof("tradeInBand is set, skip placing orders when the price is outside of the band")
return
}
}
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trend := s.detectPriceTrend(s.neutralBoll, midPrice.Float64())
switch trend {
case NeutralTrend:
// do nothing
case UpTrend:
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skew := s.UptrendSkew
buyOrder.Quantity = fixedpoint.Max(s.Market.MinQuantity, sellOrder.Quantity.Mul(skew))
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case DownTrend:
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skew := s.DowntrendSkew
ratio := fixedpoint.One.Div(skew)
sellOrder.Quantity = fixedpoint.Max(s.Market.MinQuantity, buyOrder.Quantity.Mul(ratio))
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}
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if !hasQuoteBalance || buyOrder.Quantity.Mul(buyOrder.Price).Compare(quoteBalance.Available) > 0 {
canBuy = false
}
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if !hasBaseBalance || sellOrder.Quantity.Compare(baseBalance.Available) > 0 {
canSell = false
}
if midPrice.Compare(s.Position.AverageCost.Mul(fixedpoint.One.Add(s.MinProfitSpread))) < 0 {
canSell = false
}
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if s.Long != nil && *s.Long && base.Sub(sellOrder.Quantity).Sign() < 0 {
canSell = false
}
if s.BuyBelowNeutralSMA && midPrice.Float64() > s.neutralBoll.LastSMA() {
canBuy = false
}
if canSell {
submitOrders = append(submitOrders, sellOrder)
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}
if canBuy {
submitOrders = append(submitOrders, buyOrder)
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}
// condition for lower the average cost
/*
if midPrice < s.Position.AverageCost.MulFloat64(1.0-s.MinProfitSpread.Float64()) && canBuy {
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submitOrders = append(submitOrders, buyOrder)
}
*/
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if len(submitOrders) == 0 {
return
}
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for i := range submitOrders {
submitOrders[i] = s.adjustOrderQuantity(submitOrders[i])
}
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createdOrders, err := orderExecutor.SubmitOrders(ctx, submitOrders...)
if err != nil {
log.WithError(err).Errorf("can not place ping pong orders")
}
s.orderStore.Add(createdOrders...)
s.activeMakerOrders.Add(createdOrders...)
}
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type PriceTrend string
const (
NeutralTrend PriceTrend = "neutral"
UpTrend PriceTrend = "upTrend"
DownTrend PriceTrend = "downTrend"
UnknownTrend PriceTrend = "unknown"
)
func (s *Strategy) detectPriceTrend(inc *indicator.BOLL, price float64) PriceTrend {
if inBetween(price, inc.LastDownBand(), inc.LastUpBand()) {
return NeutralTrend
}
if price < inc.LastDownBand() {
return DownTrend
}
if price > inc.LastUpBand() {
return UpTrend
}
return UnknownTrend
}
func (s *Strategy) adjustOrderQuantity(submitOrder types.SubmitOrder) types.SubmitOrder {
if submitOrder.Quantity.Mul(submitOrder.Price).Compare(s.Market.MinNotional) < 0 {
submitOrder.Quantity = bbgo.AdjustFloatQuantityByMinAmount(submitOrder.Quantity, submitOrder.Price, s.Market.MinNotional.Mul(notionModifier))
}
if submitOrder.Quantity.Compare(s.Market.MinQuantity) < 0 {
submitOrder.Quantity = fixedpoint.Max(submitOrder.Quantity, s.Market.MinQuantity)
}
return submitOrder
}
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func (s *Strategy) Run(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) error {
// StrategyController
s.Status = types.StrategyStatusRunning
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// Setup dynamic spread
if s.DynamicSpread.Enabled {
s.DynamicSpread.DynamicBidSpread = &indicator.SMA{IntervalWindow: types.IntervalWindow{s.Interval, s.DynamicSpread.Window}}
s.DynamicSpread.DynamicAskSpread = &indicator.SMA{IntervalWindow: types.IntervalWindow{s.Interval, s.DynamicSpread.Window}}
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}
s.OnSuspend(func() {
s.Status = types.StrategyStatusStopped
// Cancel all order
if err := s.activeMakerOrders.GracefulCancel(ctx, s.session.Exchange); err != nil {
log.WithError(err).Errorf("graceful cancel order error")
s.Notify("graceful cancel order error")
} else {
s.Notify("All orders are cancelled.")
}
s.tradeCollector.Process()
_ = s.Persistence.Sync(s)
})
s.OnEmergencyStop(func() {
// Close 100% position
percentage := fixedpoint.NewFromFloat(1.0)
_ = s.ClosePosition(ctx, percentage)
})
if s.DisableShort {
s.Long = &[]bool{true}[0]
}
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if s.MinProfitSpread.IsZero() {
s.MinProfitSpread = fixedpoint.NewFromFloat(0.001)
}
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if s.UptrendSkew.IsZero() {
s.UptrendSkew = fixedpoint.NewFromFloat(1.0 / 1.2)
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}
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if s.DowntrendSkew.IsZero() {
s.DowntrendSkew = fixedpoint.NewFromFloat(1.2)
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}
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if s.ShadowProtectionRatio.IsZero() {
s.ShadowProtectionRatio = fixedpoint.NewFromFloat(0.01)
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}
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// initial required information
s.session = session
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s.neutralBoll = s.StandardIndicatorSet.BOLL(s.NeutralBollinger.IntervalWindow, s.NeutralBollinger.BandWidth)
s.defaultBoll = s.StandardIndicatorSet.BOLL(s.DefaultBollinger.IntervalWindow, s.DefaultBollinger.BandWidth)
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// calculate group id for orders
instanceID := s.InstanceID()
s.groupID = util.FNV32(instanceID)
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// restore state
if err := s.LoadState(); err != nil {
return err
}
// If position is nil, we need to allocate a new position for calculation
if s.Position == nil {
// fallback to the legacy position struct in the state
if s.state != nil && s.state.Position != nil {
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s.Position.Position = s.state.Position
} else {
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s.Position = types.NewPositionStackFromMarket(s.Market)
}
}
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if s.session.MakerFeeRate.Sign() > 0 || s.session.TakerFeeRate.Sign() > 0 {
s.Position.SetExchangeFeeRate(s.session.ExchangeName, types.ExchangeFee{
MakerFeeRate: s.session.MakerFeeRate,
TakerFeeRate: s.session.TakerFeeRate,
})
}
if s.ProfitStats == nil {
if s.state != nil {
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// copy profit stats
p2 := s.state.ProfitStats
s.ProfitStats = &p2
} else {
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s.ProfitStats = types.NewProfitStats(s.Market)
}
}
// Always update the position fields
s.Position.Strategy = ID
s.Position.StrategyInstanceID = instanceID
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s.stopC = make(chan struct{})
s.activeMakerOrders = bbgo.NewLocalActiveOrderBook(s.Symbol)
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s.activeMakerOrders.BindStream(session.UserDataStream)
s.orderStore = bbgo.NewOrderStore(s.Symbol)
s.orderStore.BindStream(session.UserDataStream)
s.tradeCollector = bbgo.NewTradeCollector(s.Symbol, s.Position, s.orderStore)
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s.tradeCollector.OnTrade(func(trade types.Trade, profit, netProfit fixedpoint.Value) {
// StrategyController
if s.Status != types.StrategyStatusRunning {
return
}
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s.Notifiability.Notify(trade)
s.ProfitStats.AddTrade(trade)
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if profit.Compare(fixedpoint.Zero) == 0 {
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s.Environment.RecordPosition(s.Position.Position, trade, nil)
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} else {
log.Infof("%s generated profit: %v", s.Symbol, profit)
p := s.Position.NewProfit(trade, profit, netProfit)
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p.Strategy = ID
p.StrategyInstanceID = instanceID
s.Notify(&p)
s.ProfitStats.AddProfit(p)
s.Notify(&s.ProfitStats)
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s.Environment.RecordPosition(s.Position.Position, trade, &p)
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}
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})
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s.tradeCollector.OnPositionUpdate(func(position types.AnyPosition) {
log.Infof("position changed: %s", s.Position)
s.Notify(s.Position)
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})
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s.tradeCollector.BindStream(session.UserDataStream)
s.SmartStops.RunStopControllers(ctx, session, s.tradeCollector)
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if s.Environment.IsBackTesting() {
log.Warn("turning of useTickerPrice option in the back-testing environment...")
s.UseTickerPrice = false
}
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session.UserDataStream.OnStart(func() {
if s.UseTickerPrice {
ticker, err := s.session.Exchange.QueryTicker(ctx, s.Symbol)
if err != nil {
return
}
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midPrice := ticker.Buy.Add(ticker.Sell).Div(two)
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s.placeOrders(ctx, orderExecutor, midPrice, nil)
} else {
if price, ok := session.LastPrice(s.Symbol); ok {
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s.placeOrders(ctx, orderExecutor, price, nil)
}
}
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})
session.MarketDataStream.OnKLineClosed(func(kline types.KLine) {
// StrategyController
if s.Status != types.StrategyStatusRunning {
return
}
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if kline.Symbol != s.Symbol || kline.Interval != s.Interval {
return
}
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// Update spreads with dynamic spread
if s.DynamicSpread.Enabled {
s.DynamicSpread.Update(kline)
dynamicBidSpread, err := s.DynamicSpread.GetBidSpread()
if err == nil && dynamicBidSpread > 0 {
s.BidSpread = fixedpoint.NewFromFloat(dynamicBidSpread)
log.Infof("new bid spread: %v", s.BidSpread.Percentage())
}
dynamicAskSpread, err := s.DynamicSpread.GetAskSpread()
if err == nil && dynamicAskSpread > 0 {
s.AskSpread = fixedpoint.NewFromFloat(dynamicAskSpread)
log.Infof("new ask spread: %v", s.AskSpread.Percentage())
}
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}
if err := s.activeMakerOrders.GracefulCancel(ctx, s.session.Exchange); err != nil {
log.WithError(err).Errorf("graceful cancel order error")
}
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//log.Error(len(s.Position.Stack), s.Position.AverageCost, kline.Close)
if s.Position.Position.AverageCost.Div(kline.Close).Compare(fixedpoint.One.Add(s.PositionStack.PushThreshold)) > 0 {
log.Infof("push position %s", s.Position)
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s.Position = s.Position.Push(types.NewPositionFromMarket(s.Market))
}
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// make it dust naturally by bollmaker
if len(s.Position.Stack) > 1 && s.Position.Stack[len(s.Position.Stack)-2].AverageCost.Compare(kline.Close) < 0 && s.Market.IsDustQuantity(s.Position.GetBase(), kline.Close) {
log.Infof("pop position %s", s.Position)
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s.Position = s.Position.Pop()
}
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// make it dust by TP
if !s.PositionStack.PopThreshold.IsZero() {
if len(s.Position.Stack) > 1 && s.Position.Stack[len(s.Position.Stack)-2].AverageCost.Compare(kline.Close) < 0 && s.Position.AverageCost.Div(kline.Close).Compare(fixedpoint.One.Sub(s.PositionStack.PopThreshold)) < 0 {
s.ClosePosition(ctx, fixedpoint.One)
log.Infof("pop position %s", s.Position)
log.Error("pop position")
s.Position = s.Position.Pop()
}
}
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//if s.Position.AverageCost.Div(kline.Close).Compare(fixedpoint.One.Sub(s.PopThreshold)) < 0 && && !s.Position.AverageCost.IsZero() {
// //log.Error(len(s.Position.Stack), s.Position.AverageCost, kline.Close)
// log.Errorf("pop")
// s.ClosePosition(ctx, fixedpoint.One)
// s.Position = s.Position.Pop()
//}
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// check if there is a canceled order had partially filled.
s.tradeCollector.Process()
if s.UseTickerPrice {
ticker, err := s.session.Exchange.QueryTicker(ctx, s.Symbol)
if err != nil {
return
}
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midPrice := ticker.Buy.Add(ticker.Sell).Div(two)
log.Infof("using ticker price: bid %v / ask %v, mid price %v", ticker.Buy, ticker.Sell, midPrice)
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s.placeOrders(ctx, orderExecutor, midPrice, &kline)
} else {
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s.placeOrders(ctx, orderExecutor, kline.Close, &kline)
}
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})
// s.book = types.NewStreamBook(s.Symbol)
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// s.book.BindStreamForBackground(session.MarketDataStream)
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s.Graceful.OnShutdown(func(ctx context.Context, wg *sync.WaitGroup) {
defer wg.Done()
close(s.stopC)
if err := s.activeMakerOrders.GracefulCancel(ctx, s.session.Exchange); err != nil {
log.WithError(err).Errorf("graceful cancel order error")
}
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s.tradeCollector.Process()
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})
return nil
}
func calculateBandPercentage(up, down, sma, midPrice float64) float64 {
if midPrice < sma {
// should be negative percentage
return (midPrice - sma) / math.Abs(sma-down)
} else if midPrice > sma {
// should be positive percentage
return (midPrice - sma) / math.Abs(up-sma)
}
return 0.0
}
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func inBetween(x, a, b float64) bool {
return a < x && x < b
}