package harmonic 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/interact" "github.com/c9s/bbgo/pkg/types" "github.com/sirupsen/logrus" "github.com/wcharczuk/go-chart/v2" ) const ID = "harmonic" var log = logrus.WithField("strategy", ID) func init() { bbgo.RegisterStrategy(ID, &Strategy{}) } type Strategy struct { Environment *bbgo.Environment Symbol string `json:"symbol"` Market types.Market types.IntervalWindow //bbgo.OpenPositionOptions // persistence fields Position *types.Position `persistence:"position"` ProfitStats *types.ProfitStats `persistence:"profit_stats"` TradeStats *types.TradeStats `persistence:"trade_stats"` ExitMethods bbgo.ExitMethodSet `json:"exits"` session *bbgo.ExchangeSession orderExecutor *bbgo.GeneralOrderExecutor bbgo.QuantityOrAmount // StrategyController bbgo.StrategyController shark *SHARK // plotting bbgo.SourceSelector priceLines *types.Queue midPrice fixedpoint.Value lock sync.RWMutex `ignore:"true"` positionLock sync.RWMutex `ignore:"true"` startTime time.Time minutesCounter int frameKLine *types.KLine kline1m *types.KLine CanvasPath string `json:"canvasPath"` HLRangeWindow int `json:"hlRangeWindow"` Window1m int `json:"window1m"` // 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) }) 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) 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() for _, method := range s.ExitMethods { method.Bind(session, s.orderExecutor) } kLineStore, _ := s.session.MarketDataStore(s.Symbol) s.shark = &SHARK{IntervalWindow: types.IntervalWindow{Window: s.Window, Interval: s.Interval}} s.shark.BindK(s.session.MarketDataStream, s.Symbol, s.shark.Interval) if klines, ok := kLineStore.KLinesOfInterval(s.shark.Interval); ok { s.shark.LoadK((*klines)[0:]) } s.session.MarketDataStream.OnKLineClosed(types.KLineWith(s.Symbol, s.Interval, func(kline types.KLine) { log.Infof("Shark Score: %f, Current Price: %f", s.shark.Last(), kline.Close.Float64()) //previousRegime := s.shark.Values.Tail(10).Mean() //zeroThreshold := 5. if s.shark.Rank(s.Window).Last()/float64(s.Window) > 0.99 { // && ((previousRegime < zeroThreshold && previousRegime > -zeroThreshold) || s.shark.Index(1) < 0) if s.Position.IsShort() { _ = s.orderExecutor.GracefulCancel(ctx) s.orderExecutor.ClosePosition(ctx, fixedpoint.One, "close short position") } _, err := s.orderExecutor.SubmitOrders(ctx, types.SubmitOrder{ Symbol: s.Symbol, Side: types.SideTypeBuy, Quantity: s.Quantity, Type: types.OrderTypeMarket, Tag: "shark long: buy in", }) if err == nil { _, err = s.orderExecutor.SubmitOrders(ctx, types.SubmitOrder{ Symbol: s.Symbol, Side: types.SideTypeSell, Quantity: s.Quantity, Price: fixedpoint.NewFromFloat(s.shark.Highs.Tail(100).Max()), Type: types.OrderTypeLimit, Tag: "shark long: sell back", }) } if err != nil { log.Errorln(err) } } else if s.shark.Rank(s.Window).Last()/float64(s.Window) < 0.01 { // && ((previousRegime < zeroThreshold && previousRegime > -zeroThreshold) || s.shark.Index(1) > 0) if s.Position.IsLong() { _ = s.orderExecutor.GracefulCancel(ctx) s.orderExecutor.ClosePosition(ctx, fixedpoint.One, "close long position") } _, err := s.orderExecutor.SubmitOrders(ctx, types.SubmitOrder{ Symbol: s.Symbol, Side: types.SideTypeSell, Quantity: s.Quantity, Type: types.OrderTypeMarket, Tag: "shark short: sell in", }) if err == nil { _, err = s.orderExecutor.SubmitOrders(ctx, types.SubmitOrder{ Symbol: s.Symbol, Side: types.SideTypeBuy, Quantity: s.Quantity, Price: fixedpoint.NewFromFloat(s.shark.Lows.Tail(100).Min()), Type: types.OrderTypeLimit, Tag: "shark short: buy back", }) } if err != nil { log.Errorln(err) } } })) 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 harmonic: %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 harmonic: %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 harmonic: %v", err)) return } bbgo.SendPhoto(&buffer) }) bbgo.OnShutdown(ctx, 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 { klines, ok := store.KLinesOfInterval(s.Interval) klinesLength := len(*klines) if !ok || klinesLength == 0 { return errors.New("klines not exists") } 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) 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 harmonic") } 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") } }