bbgo_origin/pkg/strategy/oneliner/strategy.go

package oneliner

import (
	"bytes"
	"context"
	"errors"
	"fmt"
	"os"
	"sync"
	"time"

	"github.com/c9s/bbgo/pkg/bbgo"
	"github.com/c9s/bbgo/pkg/datatype/floats"
	"github.com/c9s/bbgo/pkg/fixedpoint"
	"github.com/c9s/bbgo/pkg/indicator"
	"github.com/c9s/bbgo/pkg/interact"
	"github.com/c9s/bbgo/pkg/types"

	"github.com/sirupsen/logrus"
	"github.com/wcharczuk/go-chart/v2"
)

const ID = "oneliner"

var one = fixedpoint.One
var zero = fixedpoint.Zero
var Fee = 0.0008 // taker fee % * 2, for upper bound

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

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

type IntervalWindowSetting struct {
	types.IntervalWindow
}

type Strategy struct {
	Environment *bbgo.Environment
	Symbol      string `json:"symbol"`
	Market      types.Market

	types.IntervalWindow

	// persistence fields
	Position    *types.Position    `persistence:"position"`
	ProfitStats *types.ProfitStats `persistence:"profit_stats"`
	TradeStats  *types.TradeStats  `persistence:"trade_stats"`

	activeOrders *bbgo.ActiveOrderBook

	ExitMethods bbgo.ExitMethodSet `json:"exits"`

	session       *bbgo.ExchangeSession
	orderExecutor *bbgo.GeneralOrderExecutor

	bbgo.QuantityOrAmount
	nrr *NRR

	// StrategyController
	bbgo.StrategyController

	// plotting
	bbgo.SourceSelector
	alpha               *NRR
	priceLines          *types.Queue
	trendLine           types.UpdatableSeriesExtend
	ma                  types.UpdatableSeriesExtend
	stdevHigh           *indicator.StdDev
	stdevLow            *indicator.StdDev
	atr                 *indicator.ATR
	midPrice            fixedpoint.Value
	lock                sync.RWMutex `ignore:"true"`
	positionLock        sync.RWMutex `ignore:"true"`
	startTime           time.Time
	minutesCounter      int
	orderPendingCounter map[uint64]int
	frameKLine          *types.KLine
	kline1m             *types.KLine

	beta float64

	StopLoss                  fixedpoint.Value `json:"stoploss"`
	CanvasPath                string           `json:"canvasPath"`
	PredictOffset             int              `json:"predictOffset"`
	HighLowVarianceMultiplier float64          `json:"hlVarianceMultiplier"`
	NoTrailingStopLoss        bool             `json:"noTrailingStopLoss"`
	TrailingStopLossType      string           `json:"trailingStopLossType"` // trailing stop sources. Possible options are `kline` for 1m kline and `realtime` from order updates
	HLRangeWindow             int              `json:"hlRangeWindow"`
	Window1m                  int              `json:"window1m"`
	FisherTransformWindow1m   int              `json:"fisherTransformWindow1m"`
	SmootherWindow1m          int              `json:"smootherWindow1m"`
	SmootherWindow            int              `json:"smootherWindow"`
	FisherTransformWindow     int              `json:"fisherTransformWindow"`
	ATRWindow                 int              `json:"atrWindow"`
	PendingMinutes            int              `json:"pendingMinutes"`  // if order not be traded for pendingMinutes of time, cancel it.
	NoRebalance               bool             `json:"noRebalance"`     // disable rebalance
	TrendWindow               int              `json:"trendWindow"`     // trendLine is used for rebalancing the position. When trendLine goes up, hold base, otherwise hold quote
	RebalanceFilter           float64          `json:"rebalanceFilter"` // beta filter on the Linear Regression of trendLine
	TrailingCallbackRate      []float64        `json:"trailingCallbackRate"`
	TrailingActivationRatio   []float64        `json:"trailingActivationRatio"`

	DriftFilterNeg  float64 `json:"driftFilterNeg"`
	DriftFilterPos  float64 `json:"driftFilterPos"`
	DDriftFilterNeg float64 `json:"ddriftFilterNeg"`
	DDriftFilterPos float64 `json:"ddriftFilterPos"`

	buyPrice     float64 `persistence:"buy_price"`
	sellPrice    float64 `persistence:"sell_price"`
	highestPrice float64 `persistence:"highest_price"`
	lowestPrice  float64 `persistence:"lowest_price"`

	// This is not related to trade but for statistics graph generation
	// Will deduct fee in percentage from every trade
	GraphPNLDeductFee bool   `json:"graphPNLDeductFee"`
	GraphPNLPath      string `json:"graphPNLPath"`
	GraphCumPNLPath   string `json:"graphCumPNLPath"`
	// Whether to generate graph when shutdown
	GenerateGraph bool `json:"generateGraph"`
}

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

	if !bbgo.IsBackTesting {
		session.Subscribe(types.MarketTradeChannel, s.Symbol, types.SubscribeOptions{})
	}

	s.ExitMethods.SetAndSubscribe(session, s)
}

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

func (s *Strategy) InstanceID() string {
	return fmt.Sprintf("%s:%s", ID, s.Symbol)
}

func (s *Strategy) Run(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) error {
	var instanceID = s.InstanceID()

	if s.Position == nil {
		s.Position = types.NewPositionFromMarket(s.Market)
	}

	if s.ProfitStats == nil {
		s.ProfitStats = types.NewProfitStats(s.Market)
	}

	if s.TradeStats == nil {
		s.TradeStats = types.NewTradeStats(s.Symbol)
	}

	// StrategyController
	s.Status = types.StrategyStatusRunning

	s.OnSuspend(func() {
		// Cancel active orders
		_ = s.orderExecutor.GracefulCancel(ctx)
	})

	s.OnEmergencyStop(func() {
		// Cancel active orders
		_ = s.orderExecutor.GracefulCancel(ctx)
		// Close 100% position
		//_ = s.ClosePosition(ctx, fixedpoint.One)
	})

	// initial required information
	s.session = session

	s.orderExecutor = bbgo.NewGeneralOrderExecutor(session, s.Symbol, ID, instanceID, s.Position)
	s.orderExecutor.BindEnvironment(s.Environment)
	s.orderExecutor.BindProfitStats(s.ProfitStats)
	s.orderExecutor.BindTradeStats(s.TradeStats)

	//modify := func(p float64) float64 {
	//	return p
	//}
	//if s.GraphPNLDeductFee {
	//	modify = func(p float64) float64 {
	//		return p * (1. - Fee)
	//	}
	//}
	profit := floats.Slice{1., 1.}
	price, _ := s.session.LastPrice(s.Symbol)
	initAsset := s.CalcAssetValue(price).Float64()
	cumProfit := floats.Slice{initAsset, initAsset}
	s.orderExecutor.TradeCollector().OnTrade(func(trade types.Trade, _profit, netProfit fixedpoint.Value) {
		profit.Update(netProfit.Float64())
		cumProfit.Update(s.CalcAssetValue(trade.Price).Float64())
	})
	s.orderExecutor.TradeCollector().OnPositionUpdate(func(position *types.Position) {
		bbgo.Sync(s)
	})
	s.orderExecutor.Bind()
	s.activeOrders = bbgo.NewActiveOrderBook(s.Symbol)

	for _, method := range s.ExitMethods {
		method.Bind(session, s.orderExecutor)
	}

	store, _ := session.MarketDataStore(s.Symbol)
	s.nrr = &NRR{IntervalWindow: types.IntervalWindow{Window: 2, Interval: s.Interval}, RankingWindow: s.Window}
	s.nrr.Bind(store)

	//startTime := s.Environment.StartTime()
	//s.TradeStats.SetIntervalProfitCollector(types.NewIntervalProfitCollector(types.Interval1h, startTime))

	// queued first signal as its initial process
	//alphaLst := types.NewQueue(2)

	s.session.MarketDataStream.OnKLineClosed(types.KLineWith(s.Symbol, s.Interval, func(kline types.KLine) {

		// transformed to [0~1] which divided equally
		//alpha := s.nrr.RankedValues.Last()

		// alpha-weighted assets (inventory and capital)
		targetBase := s.QuantityOrAmount.CalculateQuantity(kline.Close).Mul(fixedpoint.NewFromFloat(s.nrr.RankedValues.Index(1)))
		diffQty := targetBase.Sub(s.Position.Base)

		log.Infof("decision alpah: %f, ranked negative return: %f, current position: %f, target position diff: %f", s.nrr.RankedValues.Index(1), s.nrr.RankedValues.Last(), s.Position.Base.Float64(), diffQty.Float64())

		// use kline direction to prevent reversing position too soon
		if diffQty.Sign() > 0 { // && kline.Direction() >= 0
			s.orderExecutor.OpenPosition(context.Background(), bbgo.OpenPositionOptions{Quantity: diffQty.Abs(), Long: true, MarketOrder: true})
		} else if diffQty.Sign() < 0 { // && kline.Direction() <= 0
			s.orderExecutor.OpenPosition(context.Background(), bbgo.OpenPositionOptions{Quantity: diffQty.Abs(), Short: true, MarketOrder: true})
		}

		// important: delayed signal in order to submit order at current kline close (a.k.a. next open while in production)
		// instead of right in current kline open
		//alphaLst.Update(alpha)
	}))

	bbgo.RegisterCommand("/draw", "Draw Indicators", func(reply interact.Reply) {
		canvas := s.DrawIndicators(s.frameKLine.StartTime)
		var buffer bytes.Buffer
		if err := canvas.Render(chart.PNG, &buffer); err != nil {
			log.WithError(err).Errorf("cannot render indicators in oneliner")
			reply.Message(fmt.Sprintf("[error] cannot render indicators in drift: %v", err))
			return
		}
		bbgo.SendPhoto(&buffer)
	})

	bbgo.RegisterCommand("/pnl", "Draw PNL(%) per trade", func(reply interact.Reply) {
		canvas := s.DrawPNL(&profit)
		var buffer bytes.Buffer
		if err := canvas.Render(chart.PNG, &buffer); err != nil {
			log.WithError(err).Errorf("cannot render pnl in oneliner")
			reply.Message(fmt.Sprintf("[error] cannot render pnl in drift: %v", err))
			return
		}
		bbgo.SendPhoto(&buffer)
	})

	bbgo.RegisterCommand("/cumpnl", "Draw Cumulative PNL(Quote)", func(reply interact.Reply) {
		canvas := s.DrawCumPNL(&cumProfit)
		var buffer bytes.Buffer
		if err := canvas.Render(chart.PNG, &buffer); err != nil {
			log.WithError(err).Errorf("cannot render cumpnl in oneliner")
			reply.Message(fmt.Sprintf("[error] canot render cumpnl in drift: %v", err))
			return
		}
		bbgo.SendPhoto(&buffer)
	})

	bbgo.OnShutdown(func(ctx context.Context, wg *sync.WaitGroup) {
		defer wg.Done()

		_, _ = fmt.Fprintln(os.Stderr, s.TradeStats.String())
		_ = s.orderExecutor.GracefulCancel(ctx)
	})

	return nil
}

func (s *Strategy) CalcAssetValue(price fixedpoint.Value) fixedpoint.Value {
	balances := s.session.GetAccount().Balances()
	return balances[s.Market.BaseCurrency].Total().Mul(price).Add(balances[s.Market.QuoteCurrency].Total())
}

func (s *Strategy) DrawPNL(profit types.Series) *types.Canvas {
	canvas := types.NewCanvas(s.InstanceID())
	//log.Errorf("pnl Highest: %f, Lowest: %f", types.Highest(profit, profit.Length()), types.Lowest(profit, profit.Length()))
	length := profit.Length()
	if s.GraphPNLDeductFee {
		canvas.PlotRaw("pnl (with Fee Deducted)", profit, length)
	} else {
		canvas.PlotRaw("pnl", profit, length)
	}
	canvas.YAxis = chart.YAxis{
		ValueFormatter: func(v interface{}) string {
			if vf, isFloat := v.(float64); isFloat {
				return fmt.Sprintf("%.4f", vf)
			}
			return ""
		},
	}
	canvas.PlotRaw("1", types.NumberSeries(1), length)
	return canvas
}

func (s *Strategy) DrawCumPNL(cumProfit types.Series) *types.Canvas {
	canvas := types.NewCanvas(s.InstanceID())
	canvas.PlotRaw("cumulative pnl", cumProfit, cumProfit.Length())
	canvas.YAxis = chart.YAxis{
		ValueFormatter: func(v interface{}) string {
			if vf, isFloat := v.(float64); isFloat {
				return fmt.Sprintf("%.4f", vf)
			}
			return ""
		},
	}
	return canvas
}

func (s *Strategy) initIndicators(store *bbgo.SerialMarketDataStore) error {
	s.ma = &indicator.SMA{IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.HLRangeWindow}}
	s.stdevHigh = &indicator.StdDev{IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.HLRangeWindow}}
	s.stdevLow = &indicator.StdDev{IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.HLRangeWindow}}
	s.alpha = &NRR{
		IntervalWindow: types.IntervalWindow{Window: 2, Interval: s.Interval},
	}
	s.alpha.SeriesBase.Series = s.alpha
	s.atr = &indicator.ATR{IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.ATRWindow}}
	s.trendLine = &indicator.EWMA{IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.TrendWindow}}

	klines, ok := store.KLinesOfInterval(s.Interval)
	klinesLength := len(*klines)
	if !ok || klinesLength == 0 {
		return errors.New("klines not exists")
	}
	for _, kline := range *klines {
		source := s.GetSource(&kline).Float64()
		high := kline.High.Float64()
		low := kline.Low.Float64()
		s.ma.Update(source)
		s.stdevHigh.Update(high - s.ma.Last())
		s.stdevLow.Update(s.ma.Last() - low)
		s.alpha.Update(kline.Close.Float64())
		s.trendLine.Update(source)
		s.atr.PushK(kline)
		s.priceLines.Update(source)
	}
	if s.frameKLine != nil && klines != nil {
		s.frameKLine.Set(&(*klines)[len(*klines)-1])
	}
	klines, ok = store.KLinesOfInterval(types.Interval1m)
	klinesLength = len(*klines)
	if !ok || klinesLength == 0 {
		return errors.New("klines not exists")
	}
	if s.kline1m != nil && klines != nil {
		s.kline1m.Set(&(*klines)[len(*klines)-1])
	}
	s.startTime = s.kline1m.StartTime.Time().Add(s.kline1m.Interval.Duration())
	return nil
}

func (s *Strategy) DrawIndicators(time types.Time) *types.Canvas {
	canvas := types.NewCanvas(s.InstanceID(), s.Interval)
	Length := s.priceLines.Length()
	if Length > 300 {
		Length = 300
	}
	log.Infof("draw indicators with %d data", Length)
	mean := s.priceLines.Mean(Length)
	highestPrice := s.priceLines.Minus(mean).Abs().Highest(Length)
	highestDrift := s.alpha.Abs().Highest(Length)
	hi := s.alpha.Abs().Highest(Length)
	ratio := highestPrice / highestDrift

	canvas.Plot("upband", s.ma.Add(s.stdevHigh), time, Length)
	canvas.Plot("ma", s.ma, time, Length)
	canvas.Plot("downband", s.ma.Minus(s.stdevLow), time, Length)
	canvas.Plot("drift", s.alpha.Mul(ratio).Add(mean), time, Length)
	canvas.Plot("driftOrig", s.alpha.Mul(highestPrice/hi).Add(mean), time, Length)
	canvas.Plot("zero", types.NumberSeries(mean), time, Length)
	canvas.Plot("price", s.priceLines, time, Length)
	return canvas
}

func (s *Strategy) Draw(time types.Time, profit types.Series, cumProfit types.Series) {
	canvas := s.DrawIndicators(time)
	f, err := os.Create(s.CanvasPath)
	if err != nil {
		log.WithError(err).Errorf("cannot create on %s", s.CanvasPath)
		return
	}
	defer f.Close()
	if err := canvas.Render(chart.PNG, f); err != nil {
		log.WithError(err).Errorf("cannot render in drift")
	}

	canvas = s.DrawPNL(profit)
	f, err = os.Create(s.GraphPNLPath)
	if err != nil {
		log.WithError(err).Errorf("open pnl")
		return
	}
	defer f.Close()
	if err := canvas.Render(chart.PNG, f); err != nil {
		log.WithError(err).Errorf("render pnl")
	}

	canvas = s.DrawCumPNL(cumProfit)
	f, err = os.Create(s.GraphCumPNLPath)
	if err != nil {
		log.WithError(err).Errorf("open cumpnl")
		return
	}
	defer f.Close()
	if err := canvas.Render(chart.PNG, f); err != nil {
		log.WithError(err).Errorf("render cumpnl")
	}
}