bbgo_origin/pkg/strategy/supertrend/strategy.go

673 lines
23 KiB
Go

package supertrend
import (
"context"
"fmt"
"os"
"sync"
"github.com/pkg/errors"
"github.com/sirupsen/logrus"
"github.com/c9s/bbgo/pkg/data/tsv"
"github.com/c9s/bbgo/pkg/datatype/floats"
"github.com/c9s/bbgo/pkg/bbgo"
"github.com/c9s/bbgo/pkg/fixedpoint"
"github.com/c9s/bbgo/pkg/indicator"
"github.com/c9s/bbgo/pkg/types"
)
const ID = "supertrend"
var log = logrus.WithField("strategy", ID)
// TODO: limit order for ATR TP
func init() {
// Register the pointer of the strategy struct,
// so that bbgo knows what struct to be used to unmarshal the configs (YAML or JSON)
// Note: built-in strategies need to imported manually in the bbgo cmd package.
bbgo.RegisterStrategy(ID, &Strategy{})
}
// AccumulatedProfitReport For accumulated profit report output
type AccumulatedProfitReport struct {
// AccumulatedProfitMAWindow Accumulated profit SMA window, in number of trades
AccumulatedProfitMAWindow int `json:"accumulatedProfitMAWindow"`
// IntervalWindow interval window, in days
IntervalWindow int `json:"intervalWindow"`
// NumberOfInterval How many intervals to output to TSV
NumberOfInterval int `json:"NumberOfInterval"`
// TsvReportPath The path to output report to
TsvReportPath string `json:"tsvReportPath"`
// AccumulatedDailyProfitWindow The window to sum up the daily profit, in days
AccumulatedDailyProfitWindow int `json:"accumulatedDailyProfitWindow"`
// Accumulated profit
accumulatedProfit fixedpoint.Value
accumulatedProfitPerDay floats.Slice
previousAccumulatedProfit fixedpoint.Value
// Accumulated profit MA
accumulatedProfitMA *indicator.SMA
accumulatedProfitMAPerDay floats.Slice
// Daily profit
dailyProfit floats.Slice
// Accumulated fee
accumulatedFee fixedpoint.Value
accumulatedFeePerDay floats.Slice
// Win ratio
winRatioPerDay floats.Slice
// Profit factor
profitFactorPerDay floats.Slice
// Trade number
dailyTrades floats.Slice
accumulatedTrades int
previousAccumulatedTrades int
}
func (r *AccumulatedProfitReport) Initialize() {
if r.AccumulatedProfitMAWindow <= 0 {
r.AccumulatedProfitMAWindow = 60
}
if r.IntervalWindow <= 0 {
r.IntervalWindow = 7
}
if r.AccumulatedDailyProfitWindow <= 0 {
r.AccumulatedDailyProfitWindow = 7
}
if r.NumberOfInterval <= 0 {
r.NumberOfInterval = 1
}
r.accumulatedProfitMA = &indicator.SMA{IntervalWindow: types.IntervalWindow{Interval: types.Interval1d, Window: r.AccumulatedProfitMAWindow}}
}
func (r *AccumulatedProfitReport) RecordProfit(profit fixedpoint.Value) {
r.accumulatedProfit = r.accumulatedProfit.Add(profit)
}
func (r *AccumulatedProfitReport) RecordTrade(fee fixedpoint.Value) {
r.accumulatedFee = r.accumulatedFee.Add(fee)
r.accumulatedTrades += 1
}
func (r *AccumulatedProfitReport) DailyUpdate(tradeStats *types.TradeStats) {
// Daily profit
r.dailyProfit.Update(r.accumulatedProfit.Sub(r.previousAccumulatedProfit).Float64())
r.previousAccumulatedProfit = r.accumulatedProfit
// Accumulated profit
r.accumulatedProfitPerDay.Update(r.accumulatedProfit.Float64())
// Accumulated profit MA
r.accumulatedProfitMA.Update(r.accumulatedProfit.Float64())
r.accumulatedProfitMAPerDay.Update(r.accumulatedProfitMA.Last())
// Accumulated Fee
r.accumulatedFeePerDay.Update(r.accumulatedFee.Float64())
// Win ratio
r.winRatioPerDay.Update(tradeStats.WinningRatio.Float64())
// Profit factor
r.profitFactorPerDay.Update(tradeStats.ProfitFactor.Float64())
// Daily trades
r.dailyTrades.Update(float64(r.accumulatedTrades - r.previousAccumulatedTrades))
r.previousAccumulatedTrades = r.accumulatedTrades
}
// Output Accumulated profit report to a TSV file
func (r *AccumulatedProfitReport) Output(symbol string) {
if r.TsvReportPath != "" {
tsvwiter, err := tsv.AppendWriterFile(r.TsvReportPath)
if err != nil {
panic(err)
}
defer tsvwiter.Close()
// Output symbol, total acc. profit, acc. profit 60MA, interval acc. profit, fee, win rate, profit factor
_ = tsvwiter.Write([]string{"#", "Symbol", "accumulatedProfit", "accumulatedProfitMA", fmt.Sprintf("%dd profit", r.AccumulatedDailyProfitWindow), "accumulatedFee", "winRatio", "profitFactor", "60D trades"})
for i := 0; i <= r.NumberOfInterval-1; i++ {
accumulatedProfit := r.accumulatedProfitPerDay.Index(r.IntervalWindow * i)
accumulatedProfitStr := fmt.Sprintf("%f", accumulatedProfit)
accumulatedProfitMA := r.accumulatedProfitMAPerDay.Index(r.IntervalWindow * i)
accumulatedProfitMAStr := fmt.Sprintf("%f", accumulatedProfitMA)
intervalAccumulatedProfit := r.dailyProfit.Tail(r.AccumulatedDailyProfitWindow+r.IntervalWindow*i).Sum() - r.dailyProfit.Tail(r.IntervalWindow*i).Sum()
intervalAccumulatedProfitStr := fmt.Sprintf("%f", intervalAccumulatedProfit)
accumulatedFee := fmt.Sprintf("%f", r.accumulatedFeePerDay.Index(r.IntervalWindow*i))
winRatio := fmt.Sprintf("%f", r.winRatioPerDay.Index(r.IntervalWindow*i))
profitFactor := fmt.Sprintf("%f", r.profitFactorPerDay.Index(r.IntervalWindow*i))
trades := r.dailyTrades.Tail(60+r.IntervalWindow*i).Sum() - r.dailyTrades.Tail(r.IntervalWindow*i).Sum()
tradesStr := fmt.Sprintf("%f", trades)
_ = tsvwiter.Write([]string{fmt.Sprintf("%d", i+1), symbol, accumulatedProfitStr, accumulatedProfitMAStr, intervalAccumulatedProfitStr, accumulatedFee, winRatio, profitFactor, tradesStr})
}
}
}
type Strategy struct {
Environment *bbgo.Environment
Market types.Market
// persistence fields
Position *types.Position `persistence:"position"`
ProfitStats *types.ProfitStats `persistence:"profit_stats"`
TradeStats *types.TradeStats `persistence:"trade_stats"`
// Symbol is the market symbol you want to trade
Symbol string `json:"symbol"`
types.IntervalWindow
// Double DEMA
doubleDema *DoubleDema
// FastDEMAWindow DEMA window for checking breakout
FastDEMAWindow int `json:"fastDEMAWindow"`
// SlowDEMAWindow DEMA window for checking breakout
SlowDEMAWindow int `json:"slowDEMAWindow"`
// SuperTrend indicator
Supertrend *indicator.Supertrend
// SupertrendMultiplier ATR multiplier for calculation of supertrend
SupertrendMultiplier float64 `json:"supertrendMultiplier"`
// LinearRegression Use linear regression as trend confirmation
LinearRegression *LinReg `json:"linearRegression,omitempty"`
// Leverage uses the account net value to calculate the order qty
Leverage fixedpoint.Value `json:"leverage"`
// Quantity sets the fixed order qty, takes precedence over Leverage
Quantity fixedpoint.Value `json:"quantity"`
AccountValueCalculator *bbgo.AccountValueCalculator
// TakeProfitAtrMultiplier TP according to ATR multiple, 0 to disable this
TakeProfitAtrMultiplier float64 `json:"takeProfitAtrMultiplier"`
// StopLossByTriggeringK Set SL price to the low/high of the triggering Kline
StopLossByTriggeringK bool `json:"stopLossByTriggeringK"`
// StopByReversedSupertrend TP/SL by reversed supertrend signal
StopByReversedSupertrend bool `json:"stopByReversedSupertrend"`
// StopByReversedDema TP/SL by reversed DEMA signal
StopByReversedDema bool `json:"stopByReversedDema"`
// StopByReversedLinGre TP/SL by reversed linear regression signal
StopByReversedLinGre bool `json:"stopByReversedLinGre"`
// ExitMethods Exit methods
ExitMethods bbgo.ExitMethodSet `json:"exits"`
// whether to draw graph or not by the end of backtest
DrawGraph bool `json:"drawGraph"`
GraphPNLPath string `json:"graphPNLPath"`
GraphCumPNLPath string `json:"graphCumPNLPath"`
// for position
buyPrice float64 `persistence:"buy_price"`
sellPrice float64 `persistence:"sell_price"`
highestPrice float64 `persistence:"highest_price"`
lowestPrice float64 `persistence:"lowest_price"`
session *bbgo.ExchangeSession
orderExecutor *bbgo.GeneralOrderExecutor
currentTakeProfitPrice fixedpoint.Value
currentStopLossPrice fixedpoint.Value
// StrategyController
bbgo.StrategyController
// Accumulated profit report
AccumulatedProfitReport *AccumulatedProfitReport `json:"accumulatedProfitReport"`
}
func (s *Strategy) ID() string {
return ID
}
func (s *Strategy) InstanceID() string {
return fmt.Sprintf("%s:%s", ID, s.Symbol)
}
func (s *Strategy) Validate() error {
if len(s.Symbol) == 0 {
return errors.New("symbol is required")
}
if len(s.Interval) == 0 {
return errors.New("interval is required")
}
return nil
}
func (s *Strategy) Subscribe(session *bbgo.ExchangeSession) {
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{Interval: s.Interval})
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{Interval: s.LinearRegression.Interval})
s.ExitMethods.SetAndSubscribe(session, s)
// Accumulated profit report
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{Interval: types.Interval1d})
}
// Position control
func (s *Strategy) CurrentPosition() *types.Position {
return s.Position
}
func (s *Strategy) ClosePosition(ctx context.Context, percentage fixedpoint.Value) error {
base := s.Position.GetBase()
if base.IsZero() {
return fmt.Errorf("no opened %s position", s.Position.Symbol)
}
// make it negative
quantity := base.Mul(percentage).Abs()
side := types.SideTypeBuy
if base.Sign() > 0 {
side = types.SideTypeSell
}
if quantity.Compare(s.Market.MinQuantity) < 0 {
return fmt.Errorf("%s order quantity %v is too small, less than %v", s.Symbol, quantity, s.Market.MinQuantity)
}
orderForm := s.generateOrderForm(side, quantity, types.SideEffectTypeAutoRepay)
bbgo.Notify("submitting %s %s order to close position by %v", s.Symbol, side.String(), percentage, orderForm)
_, err := s.orderExecutor.SubmitOrders(ctx, orderForm)
if err != nil {
log.WithError(err).Errorf("can not place %s position close order", s.Symbol)
bbgo.Notify("can not place %s position close order", s.Symbol)
}
return err
}
// setupIndicators initializes indicators
func (s *Strategy) setupIndicators() {
// K-line store for indicators
kLineStore, _ := s.session.MarketDataStore(s.Symbol)
// Double DEMA
s.doubleDema = newDoubleDema(kLineStore, s.Interval, s.FastDEMAWindow, s.SlowDEMAWindow)
// Supertrend
if s.Window == 0 {
s.Window = 39
}
if s.SupertrendMultiplier == 0 {
s.SupertrendMultiplier = 3
}
s.Supertrend = &indicator.Supertrend{IntervalWindow: types.IntervalWindow{Window: s.Window, Interval: s.Interval}, ATRMultiplier: s.SupertrendMultiplier}
s.Supertrend.AverageTrueRange = &indicator.ATR{IntervalWindow: types.IntervalWindow{Window: s.Window, Interval: s.Interval}}
s.Supertrend.BindK(s.session.MarketDataStream, s.Symbol, s.Supertrend.Interval)
if klines, ok := kLineStore.KLinesOfInterval(s.Supertrend.Interval); ok {
s.Supertrend.LoadK((*klines)[0:])
}
// Linear Regression
if s.LinearRegression != nil {
if s.LinearRegression.Window == 0 {
s.LinearRegression = nil
} else if s.LinearRegression.Interval == "" {
s.LinearRegression = nil
} else {
s.LinearRegression.BindK(s.session.MarketDataStream, s.Symbol, s.LinearRegression.Interval)
if klines, ok := kLineStore.KLinesOfInterval(s.LinearRegression.Interval); ok {
s.LinearRegression.LoadK((*klines)[0:])
}
}
}
}
func (s *Strategy) shouldStop(kline types.KLine, stSignal types.Direction, demaSignal types.Direction, lgSignal types.Direction) bool {
stopNow := false
base := s.Position.GetBase()
baseSign := base.Sign()
if s.StopLossByTriggeringK && !s.currentStopLossPrice.IsZero() && ((baseSign < 0 && kline.GetClose().Compare(s.currentStopLossPrice) > 0) || (baseSign > 0 && kline.GetClose().Compare(s.currentStopLossPrice) < 0)) {
// SL by triggering Kline low/high
bbgo.Notify("%s stop loss by triggering the kline low/high", s.Symbol)
stopNow = true
} else if s.TakeProfitAtrMultiplier > 0 && !s.currentTakeProfitPrice.IsZero() && ((baseSign < 0 && kline.GetClose().Compare(s.currentTakeProfitPrice) < 0) || (baseSign > 0 && kline.GetClose().Compare(s.currentTakeProfitPrice) > 0)) {
// TP by multiple of ATR
bbgo.Notify("%s take profit by multiple of ATR", s.Symbol)
stopNow = true
} else if s.StopByReversedSupertrend && ((baseSign < 0 && stSignal == types.DirectionUp) || (baseSign > 0 && stSignal == types.DirectionDown)) {
// Use supertrend signal to TP/SL
bbgo.Notify("%s stop by the reversed signal of Supertrend", s.Symbol)
stopNow = true
} else if s.StopByReversedDema && ((baseSign < 0 && demaSignal == types.DirectionUp) || (baseSign > 0 && demaSignal == types.DirectionDown)) {
// Use DEMA signal to TP/SL
bbgo.Notify("%s stop by the reversed signal of DEMA", s.Symbol)
stopNow = true
} else if s.StopByReversedLinGre && ((baseSign < 0 && lgSignal == types.DirectionUp) || (baseSign > 0 && lgSignal == types.DirectionDown)) {
// Use linear regression signal to TP/SL
bbgo.Notify("%s stop by the reversed signal of linear regression", s.Symbol)
stopNow = true
}
return stopNow
}
func (s *Strategy) getSide(stSignal types.Direction, demaSignal types.Direction, lgSignal types.Direction) types.SideType {
var side types.SideType
if stSignal == types.DirectionUp && demaSignal == types.DirectionUp && (s.LinearRegression == nil || lgSignal == types.DirectionUp) {
side = types.SideTypeBuy
} else if stSignal == types.DirectionDown && demaSignal == types.DirectionDown && (s.LinearRegression == nil || lgSignal == types.DirectionDown) {
side = types.SideTypeSell
}
return side
}
func (s *Strategy) generateOrderForm(side types.SideType, quantity fixedpoint.Value, marginOrderSideEffect types.MarginOrderSideEffectType) types.SubmitOrder {
orderForm := types.SubmitOrder{
Symbol: s.Symbol,
Market: s.Market,
Side: side,
Type: types.OrderTypeMarket,
Quantity: quantity,
MarginSideEffect: marginOrderSideEffect,
}
return orderForm
}
// calculateQuantity returns leveraged quantity
func (s *Strategy) calculateQuantity(ctx context.Context, currentPrice fixedpoint.Value, side types.SideType) fixedpoint.Value {
// Quantity takes precedence
if !s.Quantity.IsZero() {
return s.Quantity
}
usingLeverage := s.session.Margin || s.session.IsolatedMargin || s.session.Futures || s.session.IsolatedFutures
if bbgo.IsBackTesting { // Backtesting
balance, ok := s.session.GetAccount().Balance(s.Market.QuoteCurrency)
if !ok {
log.Errorf("can not update %s quote balance from exchange", s.Symbol)
return fixedpoint.Zero
}
return balance.Available.Mul(fixedpoint.Min(s.Leverage, fixedpoint.One)).Div(currentPrice)
} else if !usingLeverage && side == types.SideTypeSell { // Spot sell
balance, ok := s.session.GetAccount().Balance(s.Market.BaseCurrency)
if !ok {
log.Errorf("can not update %s base balance from exchange", s.Symbol)
return fixedpoint.Zero
}
return balance.Available.Mul(fixedpoint.Min(s.Leverage, fixedpoint.One))
} else { // Using leverage or spot buy
quoteQty, err := bbgo.CalculateQuoteQuantity(ctx, s.session, s.Market.QuoteCurrency, s.Leverage)
if err != nil {
log.WithError(err).Errorf("can not update %s quote balance from exchange", s.Symbol)
return fixedpoint.Zero
}
return quoteQty.Div(currentPrice)
}
}
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) Run(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) error {
s.session = session
s.currentStopLossPrice = fixedpoint.Zero
s.currentTakeProfitPrice = fixedpoint.Zero
// calculate group id for orders
instanceID := s.InstanceID()
// If position is nil, we need to allocate a new position for calculation
if s.Position == nil {
s.Position = types.NewPositionFromMarket(s.Market)
}
// Always update the position fields
s.Position.Strategy = ID
s.Position.StrategyInstanceID = s.InstanceID()
// Profit stats
if s.ProfitStats == nil {
s.ProfitStats = types.NewProfitStats(s.Market)
}
if s.TradeStats == nil {
s.TradeStats = types.NewTradeStats(s.Symbol)
}
// Interval profit report
if bbgo.IsBackTesting {
startTime := s.Environment.StartTime()
s.TradeStats.SetIntervalProfitCollector(types.NewIntervalProfitCollector(types.Interval1d, startTime))
s.TradeStats.SetIntervalProfitCollector(types.NewIntervalProfitCollector(types.Interval1w, startTime))
s.TradeStats.SetIntervalProfitCollector(types.NewIntervalProfitCollector(types.Interval1mo, startTime))
}
// Set fee rate
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,
})
}
// Setup order executor
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)
s.orderExecutor.Bind()
// AccountValueCalculator
s.AccountValueCalculator = bbgo.NewAccountValueCalculator(s.session, s.Market.QuoteCurrency)
// Accumulated profit report
if bbgo.IsBackTesting {
if s.AccumulatedProfitReport == nil {
s.AccumulatedProfitReport = &AccumulatedProfitReport{}
}
s.AccumulatedProfitReport.Initialize()
s.orderExecutor.TradeCollector().OnProfit(func(trade types.Trade, profit *types.Profit) {
if profit == nil {
return
}
s.AccumulatedProfitReport.RecordProfit(profit.Profit)
})
// s.orderExecutor.TradeCollector().OnTrade(func(trade types.Trade, profit fixedpoint.Value, netProfit fixedpoint.Value) {
// s.AccumulatedProfitReport.RecordTrade(trade.Fee)
// })
session.MarketDataStream.OnKLineClosed(types.KLineWith(s.Symbol, types.Interval1d, func(kline types.KLine) {
s.AccumulatedProfitReport.DailyUpdate(s.TradeStats)
}))
}
// For drawing
profitSlice := floats.Slice{1., 1.}
price, _ := session.LastPrice(s.Symbol)
initAsset := s.CalcAssetValue(price).Float64()
cumProfitSlice := floats.Slice{initAsset, initAsset}
s.orderExecutor.TradeCollector().OnTrade(func(trade types.Trade, profit fixedpoint.Value, netProfit fixedpoint.Value) {
if bbgo.IsBackTesting {
s.AccumulatedProfitReport.RecordTrade(trade.Fee)
}
// For drawing/charting
price := trade.Price.Float64()
if s.buyPrice > 0 {
profitSlice.Update(price / s.buyPrice)
cumProfitSlice.Update(s.CalcAssetValue(trade.Price).Float64())
} else if s.sellPrice > 0 {
profitSlice.Update(s.sellPrice / price)
cumProfitSlice.Update(s.CalcAssetValue(trade.Price).Float64())
}
if s.Position.IsDust(trade.Price) {
s.buyPrice = 0
s.sellPrice = 0
s.highestPrice = 0
s.lowestPrice = 0
} else if s.Position.IsLong() {
s.buyPrice = price
s.sellPrice = 0
s.highestPrice = s.buyPrice
s.lowestPrice = 0
} else {
s.sellPrice = price
s.buyPrice = 0
s.highestPrice = 0
s.lowestPrice = s.sellPrice
}
})
s.InitDrawCommands(&profitSlice, &cumProfitSlice)
// Sync position to redis on trade
s.orderExecutor.TradeCollector().OnPositionUpdate(func(position *types.Position) {
bbgo.Sync(ctx, s)
})
// StrategyController
s.Status = types.StrategyStatusRunning
s.OnSuspend(func() {
_ = s.orderExecutor.GracefulCancel(ctx)
bbgo.Sync(ctx, s)
})
s.OnEmergencyStop(func() {
_ = s.orderExecutor.GracefulCancel(ctx)
// Close 100% position
_ = s.ClosePosition(ctx, fixedpoint.One)
})
// Setup indicators
s.setupIndicators()
// Exit methods
for _, method := range s.ExitMethods {
method.Bind(session, s.orderExecutor)
}
session.MarketDataStream.OnKLineClosed(types.KLineWith(s.Symbol, s.Interval, func(kline types.KLine) {
// StrategyController
if s.Status != types.StrategyStatusRunning {
return
}
closePrice := kline.GetClose()
openPrice := kline.GetOpen()
closePrice64 := closePrice.Float64()
openPrice64 := openPrice.Float64()
// Supertrend signal
stSignal := s.Supertrend.GetSignal()
// DEMA signal
demaSignal := s.doubleDema.getDemaSignal(openPrice64, closePrice64)
// Linear Regression signal
var lgSignal types.Direction
if s.LinearRegression != nil {
lgSignal = s.LinearRegression.GetSignal()
}
// TP/SL if there's non-dust position and meets the criteria
if !s.Market.IsDustQuantity(s.Position.GetBase().Abs(), closePrice) && s.shouldStop(kline, stSignal, demaSignal, lgSignal) {
if err := s.ClosePosition(ctx, fixedpoint.One); err == nil {
s.currentStopLossPrice = fixedpoint.Zero
s.currentTakeProfitPrice = fixedpoint.Zero
}
}
// Get order side
side := s.getSide(stSignal, demaSignal, lgSignal)
// Set TP/SL price if needed
if side == types.SideTypeBuy {
if s.StopLossByTriggeringK {
s.currentStopLossPrice = kline.GetLow()
}
if s.TakeProfitAtrMultiplier > 0 {
s.currentTakeProfitPrice = closePrice.Add(fixedpoint.NewFromFloat(s.Supertrend.AverageTrueRange.Last() * s.TakeProfitAtrMultiplier))
}
} else if side == types.SideTypeSell {
if s.StopLossByTriggeringK {
s.currentStopLossPrice = kline.GetHigh()
}
if s.TakeProfitAtrMultiplier > 0 {
s.currentTakeProfitPrice = closePrice.Sub(fixedpoint.NewFromFloat(s.Supertrend.AverageTrueRange.Last() * s.TakeProfitAtrMultiplier))
}
}
// Open position
// The default value of side is an empty string. Unless side is set by the checks above, the result of the following condition is false
if side == types.SideTypeSell || side == types.SideTypeBuy {
bbgo.Notify("open %s position for signal %v", s.Symbol, side)
amount := s.calculateQuantity(ctx, closePrice, side)
// Add opposite position amount if any
if (side == types.SideTypeSell && s.Position.IsLong()) || (side == types.SideTypeBuy && s.Position.IsShort()) {
if bbgo.IsBackTesting {
_ = s.ClosePosition(ctx, fixedpoint.One)
bbgo.Notify("close existing %s position before open a new position", s.Symbol)
amount = s.calculateQuantity(ctx, closePrice, side)
} else {
bbgo.Notify("add existing opposite position amount %f of %s to the amount %f of open new position order", s.Position.GetQuantity().Float64(), s.Symbol, amount.Float64())
amount = amount.Add(s.Position.GetQuantity())
}
} else if !s.Position.IsDust(closePrice) {
bbgo.Notify("existing %s position has the same direction as the signal", s.Symbol)
return
}
orderForm := s.generateOrderForm(side, amount, types.SideEffectTypeMarginBuy)
log.Infof("submit open position order %v", orderForm)
_, err := s.orderExecutor.SubmitOrders(ctx, orderForm)
if err != nil {
log.WithError(err).Errorf("can not place %s open position order", s.Symbol)
bbgo.Notify("can not place %s open position order", s.Symbol)
}
}
}))
// Graceful shutdown
bbgo.OnShutdown(ctx, func(ctx context.Context, wg *sync.WaitGroup) {
defer wg.Done()
// Output accumulated profit report
if bbgo.IsBackTesting {
defer s.AccumulatedProfitReport.Output(s.Symbol)
if s.DrawGraph {
if err := s.Draw(&profitSlice, &cumProfitSlice); err != nil {
log.WithError(err).Errorf("cannot draw graph")
}
}
}
_ = s.orderExecutor.GracefulCancel(ctx)
_, _ = fmt.Fprintln(os.Stderr, s.TradeStats.String())
})
return nil
}