bbgo_origin/pkg/strategy/bollmaker/strategy.go

package bollmaker

import (
	"context"
	"fmt"
	"math"
	"sync"
	"time"

	"github.com/c9s/bbgo/pkg/indicator"

	"github.com/pkg/errors"
	"github.com/sirupsen/logrus"

	"github.com/c9s/bbgo/pkg/bbgo"
	"github.com/c9s/bbgo/pkg/exchange/max"
	"github.com/c9s/bbgo/pkg/fixedpoint"
	"github.com/c9s/bbgo/pkg/service"
	"github.com/c9s/bbgo/pkg/types"
)

const ID = "bollmaker"

const stateKey = "state-v1"

var one = fixedpoint.NewFromFloat(1.0)

var defaultFeeRate = fixedpoint.NewFromFloat(0.001)

var log = logrus.WithField("strategy", ID)

func init() {
	bbgo.RegisterStrategy(ID, &Strategy{})
}

type State struct {
	Position    *types.Position  `json:"position,omitempty"`
	ProfitStats bbgo.ProfitStats `json:"profitStats,omitempty"`
}

type BollingerSetting struct {
	types.IntervalWindow
	BandWidth float64 `json:"bandWidth"`
}

type Strategy struct {
	*bbgo.Graceful
	*bbgo.Notifiability
	*bbgo.Persistence

	StandardIndicatorSet *bbgo.StandardIndicatorSet

	// Symbol is the market symbol you want to trade
	Symbol string `json:"symbol"`

	// Interval is how long do you want to update your order price and quantity
	Interval types.Interval `json:"interval"`

	// Quantity is the base order quantity for your buy/sell order.
	Quantity fixedpoint.Value `json:"quantity"`

	// 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
	Spread fixedpoint.Value `json:"spread"`

	// 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))
	MinProfitSpread fixedpoint.Value `json:"minProfitSpread"`

	// 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.
	UseTickerPrice bool `json:"useTickerPrice"`

	// 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"`

	// DisableShort means you can don't want short position during the market making
	// Set to true if you want to hold more spot during market making.
	DisableShort bool `json:"disableShort"`

	DefaultBollinger *BollingerSetting `json:"defaultBollinger"`

	// NeutralBollinger is the smaller range of the bollinger band
	// If price is in this band, it usually means the price is oscillating.
	NeutralBollinger *BollingerSetting `json:"neutralBollinger"`

	// StrongDowntrendSkew is the order quantity skew for strong downtrend band.
	// when the bollinger band detect a strong downtrend, what's the order quantity skew we want to use.
	// 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
	StrongDowntrendSkew fixedpoint.Value `json:"strongDowntrendSkew"`

	// StrongUptrendSkew is the order quantity skew for strong uptrend band.
	// when the bollinger band detect a strong uptrend, what's the order quantity skew we want to use.
	// 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
	StrongUptrendSkew fixedpoint.Value `json:"strongUptrendSkew"`

	// 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
	UptrendSkew fixedpoint.Value `json:"uptrendSkew"`

	session *bbgo.ExchangeSession
	book    *types.StreamOrderBook
	market  types.Market

	state *State

	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
}

func (s *Strategy) ID() string {
	return ID
}

func (s *Strategy) Subscribe(session *bbgo.ExchangeSession) {
	// session.Subscribe(types.BookChannel, s.Symbol, types.SubscribeOptions{})
	session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
		Interval: string(s.Interval),
	})

	if s.DefaultBollinger != nil && s.DefaultBollinger.Interval != "" {
		session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
			Interval: string(s.DefaultBollinger.Interval),
		})
	}

	if s.NeutralBollinger != nil && s.NeutralBollinger.Interval != "" {
		session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
			Interval: string(s.NeutralBollinger.Interval),
		})
	}
}

func (s *Strategy) Validate() error {
	if len(s.Symbol) == 0 {
		return errors.New("symbol is required")
	}

	return nil
}

func (s *Strategy) CurrentPosition() *types.Position {
	return s.state.Position
}

func (s *Strategy) ClosePosition(ctx context.Context, percentage float64) error {
	base := s.state.Position.GetBase()
	if base == 0 {
		return fmt.Errorf("no opened %s position", s.state.Position.Symbol)
	}

	// make it negative
	quantity := base.MulFloat64(percentage).Abs()
	side := types.SideTypeBuy
	if base > 0 {
		side = types.SideTypeSell
	}

	if quantity.Float64() < s.market.MinQuantity {
		return fmt.Errorf("order quantity %f is too small, less than %f", quantity.Float64(), s.market.MinQuantity)
	}

	submitOrder := types.SubmitOrder{
		Symbol:   s.Symbol,
		Side:     side,
		Type:     types.OrderTypeMarket,
		Quantity: quantity.Float64(),
		Market:   s.market,
	}

	s.Notify("Submitting %s %s order to close position by %f", s.Symbol, side.String(), percentage, submitOrder)

	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
}

func (s *Strategy) SaveState() error {
	if err := s.Persistence.Save(s.state, ID, s.Symbol, stateKey); err != nil {
		return err
	} else {
		log.Infof("state is saved => %+v", s.state)
	}
	return nil
}

func (s *Strategy) LoadState() error {
	var state State

	// load position
	if err := s.Persistence.Load(&state, ID, s.Symbol, stateKey); err != nil {
		if err != service.ErrPersistenceNotExists {
			return err
		}

		s.state = &State{}
	} else {
		s.state = &state
		log.Infof("state is restored: %+v", s.state)
	}

	// if position is nil, we need to allocate a new position for calculation
	if s.state.Position == nil {
		s.state.Position = types.NewPositionFromMarket(s.market)
	}

	// init profit states
	s.state.ProfitStats.Symbol = s.market.Symbol
	s.state.ProfitStats.BaseCurrency = s.market.BaseCurrency
	s.state.ProfitStats.QuoteCurrency = s.market.QuoteCurrency
	if s.state.ProfitStats.AccumulatedSince == 0 {
		s.state.ProfitStats.AccumulatedSince = time.Now().Unix()
	}

	return nil
}

// cancelOrders cancels the orders gracefully
func (s *Strategy) cancelOrders(ctx context.Context) {
	if err := s.session.Exchange.CancelOrders(ctx, s.activeMakerOrders.Orders()...); err != nil {
		log.WithError(err).Errorf("can not cancel %s orders", s.Symbol)
	}

	for s.activeMakerOrders.NumOfOrders() > 0 {
		orders := s.activeMakerOrders.Orders()
		log.Warnf("%d orders are not cancelled yet:", len(orders))
		s.activeMakerOrders.Print()

		if err := s.session.Exchange.CancelOrders(ctx, s.activeMakerOrders.Orders()...); err != nil {
			log.WithError(err).Errorf("can not cancel %s orders", s.Symbol)
			continue
		}

		log.Infof("waiting for orders to be cancelled...")

		select {
		case <-time.After(3 * time.Second):

		case <-ctx.Done():
			break

		}

		// verify the current open orders via the RESTful API
		if s.activeMakerOrders.NumOfOrders() > 0 {
			log.Warnf("there are orders not cancelled, using REStful API to verify...")
			openOrders, err := s.session.Exchange.QueryOpenOrders(ctx, s.Symbol)
			if err != nil {
				log.WithError(err).Errorf("can not query %s open orders", s.Symbol)
				continue
			}

			openOrderStore := bbgo.NewOrderStore(s.Symbol)
			openOrderStore.Add(openOrders...)

			for _, o := range s.activeMakerOrders.Orders() {
				// if it does not exist, we should remove it
				if !openOrderStore.Exists(o.OrderID) {
					s.activeMakerOrders.Remove(o)
				}
			}
		}
	}
}

func (s *Strategy) placeOrders(ctx context.Context, orderExecutor bbgo.OrderExecutor, midPrice fixedpoint.Value) {
	askPrice := midPrice.Mul(one + s.Spread)
	bidPrice := midPrice.Mul(one - s.Spread)
	base := s.state.Position.GetBase()
	balances := s.session.Account.Balances()

	log.Infof("mid price:%f spread: %s ask:%f bid: %f position: %s",
		midPrice.Float64(),
		s.Spread.Percentage(),
		askPrice.Float64(),
		bidPrice.Float64(),
		s.state.Position.String(),
	)

	quantity := s.Quantity
	sellOrder := types.SubmitOrder{
		Symbol:   s.Symbol,
		Side:     types.SideTypeSell,
		Type:     types.OrderTypeLimitMaker,
		Quantity: quantity.Float64(),
		Price:    askPrice.Float64(),
		Market:   s.market,
		GroupID:  s.groupID,
	}
	buyOrder := types.SubmitOrder{
		Symbol:   s.Symbol,
		Side:     types.SideTypeBuy,
		Type:     types.OrderTypeLimitMaker,
		Quantity: quantity.Float64(),
		Price:    bidPrice.Float64(),
		Market:   s.market,
		GroupID:  s.groupID,
	}

	var submitOrders []types.SubmitOrder

	minQuantity := fixedpoint.NewFromFloat(s.market.MinQuantity)
	baseBalance, hasBaseBalance := balances[s.market.BaseCurrency]
	quoteBalance, hasQuoteBalance := balances[s.market.QuoteCurrency]
	canBuy := hasQuoteBalance && quoteBalance.Available > s.Quantity.Mul(midPrice) && (s.MaxExposurePosition > 0 && base < s.MaxExposurePosition)
	canSell := hasBaseBalance && baseBalance.Available > s.Quantity && (s.MaxExposurePosition > 0 && base > -s.MaxExposurePosition)

	// adjust quantity for closing position if we over sold or over bought
	if s.MaxExposurePosition > 0 && base.Abs() > s.MaxExposurePosition {
		scale := &bbgo.ExponentialScale{
			Domain: [2]float64{0, s.MaxExposurePosition.Float64()},
			Range:  [2]float64{quantity.Float64(), base.Abs().Float64()},
		}
		if err := scale.Solve(); err != nil {
			log.WithError(err).Errorf("scale solving error")
			return
		}

		qf := scale.Call(base.Abs().Float64())
		_ = qf
		if base > minQuantity {
			// sellOrder.Quantity = qf
		} else if base < -minQuantity {
			// buyOrder.Quantity = qf
		}
	}

	if midPrice.Float64() > s.neutralBoll.LastDownBand() && midPrice.Float64() < s.neutralBoll.LastUpBand() {
		// we don't have position yet
		if base == 0 || base.Abs() < minQuantity {
			// place orders on both side if it's in oscillating band
			if canBuy {
				submitOrders = append(submitOrders, buyOrder)
			}
			if !s.DisableShort && canSell {
				submitOrders = append(submitOrders, sellOrder)
			}
		}
	} else if midPrice.Float64() > s.defaultBoll.LastDownBand() && midPrice.Float64() < s.neutralBoll.LastDownBand() { // downtrend, might bounce back

		skew := s.DowntrendSkew.Float64()
		ratio := 1.0 / skew
		sellOrder.Quantity = math.Max(s.market.MinQuantity, buyOrder.Quantity*ratio)

	} else if midPrice.Float64() < s.defaultBoll.LastUpBand() && midPrice.Float64() > s.neutralBoll.LastUpBand() { // uptrend, might bounce back

		skew := s.UptrendSkew.Float64()
		buyOrder.Quantity = math.Max(s.market.MinQuantity, sellOrder.Quantity*skew)

	} else if midPrice.Float64() < s.defaultBoll.LastDownBand() { // strong downtrend

		skew := s.StrongDowntrendSkew.Float64()
		ratio := 1.0 / skew
		sellOrder.Quantity = math.Max(s.market.MinQuantity, buyOrder.Quantity*ratio)

	} else if midPrice.Float64() > s.defaultBoll.LastUpBand() { // strong uptrend

		skew := s.StrongUptrendSkew.Float64()
		buyOrder.Quantity = math.Max(s.market.MinQuantity, sellOrder.Quantity*skew)

	}

	if midPrice > s.state.Position.AverageCost.MulFloat64(1.0+s.MinProfitSpread.Float64()) && canSell {
		if !(s.DisableShort && (base.Float64()-sellOrder.Quantity < 0)) {
			submitOrders = append(submitOrders, sellOrder)
		}
	}

	if midPrice < s.state.Position.AverageCost.MulFloat64(1.0-s.MinProfitSpread.Float64()) && canBuy {
		// submitOrders = append(submitOrders, buyOrder)
	}
	if canBuy {
		submitOrders = append(submitOrders, buyOrder)
	}

	if len(submitOrders) == 0 {
		return
	}

	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...)
}

func (s *Strategy) Run(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) error {
	if s.MinProfitSpread == 0 {
		s.MinProfitSpread = fixedpoint.NewFromFloat(0.001)
	}

	if s.StrongUptrendSkew == 0 {
		s.StrongUptrendSkew = fixedpoint.NewFromFloat(1.0 / 2.0)
	}

	if s.StrongDowntrendSkew == 0 {
		s.StrongDowntrendSkew = fixedpoint.NewFromFloat(2.0)
	}

	if s.UptrendSkew == 0 {
		s.UptrendSkew = fixedpoint.NewFromFloat(1.0 / 1.2)
	}

	if s.DowntrendSkew == 0 {
		s.DowntrendSkew = fixedpoint.NewFromFloat(1.2)
	}

	// initial required information
	s.session = session

	market, ok := session.Market(s.Symbol)
	if !ok {
		return fmt.Errorf("market %s not found", s.Symbol)
	}
	s.market = market

	s.neutralBoll = s.StandardIndicatorSet.BOLL(s.NeutralBollinger.IntervalWindow, s.NeutralBollinger.BandWidth)
	s.defaultBoll = s.StandardIndicatorSet.BOLL(s.DefaultBollinger.IntervalWindow, s.DefaultBollinger.BandWidth)

	// calculate group id for orders
	instanceID := fmt.Sprintf("%s-%s", ID, s.Symbol)
	s.groupID = max.GenerateGroupID(instanceID)
	log.Infof("using group id %d from fnv(%s)", s.groupID, instanceID)

	// restore state
	if err := s.LoadState(); err != nil {
		return err
	}

	s.stopC = make(chan struct{})

	s.activeMakerOrders = bbgo.NewLocalActiveOrderBook(s.Symbol)
	s.activeMakerOrders.BindStream(session.UserDataStream)

	s.orderStore = bbgo.NewOrderStore(s.Symbol)
	s.orderStore.BindStream(session.UserDataStream)

	s.tradeCollector = bbgo.NewTradeCollector(s.Symbol, s.state.Position, s.orderStore)
	s.tradeCollector.OnProfit(func(trade types.Trade, profit fixedpoint.Value, netProfit fixedpoint.Value) {
		p := bbgo.Profit{
			Symbol:          s.Symbol,
			Profit:          profit,
			NetProfit:       netProfit,
			TradeAmount:     fixedpoint.NewFromFloat(trade.QuoteQuantity),
			ProfitMargin:    profit.DivFloat64(trade.QuoteQuantity),
			NetProfitMargin: netProfit.DivFloat64(trade.QuoteQuantity),
			QuoteCurrency:   s.state.Position.QuoteCurrency,
			BaseCurrency:    s.state.Position.BaseCurrency,
			Time:            trade.Time.Time(),
		}
		s.state.ProfitStats.AddProfit(p)
		s.Notify(&p)
		s.Notify(&s.state.ProfitStats)
	})

	s.tradeCollector.OnTrade(func(trade types.Trade) {
		log.Infof("trade: %s", trade)
		s.Notifiability.Notify(trade)
		s.state.ProfitStats.AddTrade(trade)
	})

	s.tradeCollector.OnPositionUpdate(func(position *types.Position) {
		log.Infof("position changed: %s", s.state.Position)
		s.Notify(s.state.Position)
	})

	s.tradeCollector.BindStream(session.UserDataStream)

	session.UserDataStream.OnStart(func() {
		if s.UseTickerPrice {
			ticker, err := s.session.Exchange.QueryTicker(ctx, s.Symbol)
			if err != nil {
				return
			}

			midPrice := fixedpoint.NewFromFloat((ticker.Buy + ticker.Sell) / 2)
			s.placeOrders(ctx, orderExecutor, midPrice)
		} else {
			if price, ok := session.LastPrice(s.Symbol); ok {
				s.placeOrders(ctx, orderExecutor, fixedpoint.NewFromFloat(price))
			}
		}
	})

	session.MarketDataStream.OnKLineClosed(func(kline types.KLine) {
		if kline.Symbol != s.Symbol {
			return
		}
		if kline.Interval != s.Interval {
			return
		}

		if err := s.activeMakerOrders.GracefulCancel(ctx, s.session.Exchange); err != nil {
			log.WithError(err).Errorf("graceful cancel order error")
		}

		s.tradeCollector.Process()

		if s.UseTickerPrice {
			ticker, err := s.session.Exchange.QueryTicker(ctx, s.Symbol)
			if err != nil {
				return
			}

			midPrice := fixedpoint.NewFromFloat((ticker.Buy + ticker.Sell) / 2)
			s.placeOrders(ctx, orderExecutor, midPrice)
		} else {
			s.placeOrders(ctx, orderExecutor, fixedpoint.NewFromFloat(kline.Close))
		}
	})

	// s.book = types.NewStreamBook(s.Symbol)
	// s.book.BindStreamForBackground(session.MarketDataStream)

	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")
		}

		if err := s.SaveState(); err != nil {
			log.WithError(err).Errorf("can not save state: %+v", s.state)
		}
	})

	return nil
}