bbgo_origin/pkg/strategy/drift/strategy.go

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package drift
import (
"bytes"
"context"
"errors"
"fmt"
"math"
"os"
"strconv"
"sync"
"time"
"github.com/sirupsen/logrus"
"go.uber.org/multierr"
"github.com/c9s/bbgo/pkg/bbgo"
"github.com/c9s/bbgo/pkg/datatype/floats"
"github.com/c9s/bbgo/pkg/dynamic"
"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/c9s/bbgo/pkg/util"
)
const ID = "drift"
var log = logrus.WithField("strategy", ID)
var Four fixedpoint.Value = fixedpoint.NewFromInt(4)
var Three fixedpoint.Value = fixedpoint.NewFromInt(3)
var Two fixedpoint.Value = fixedpoint.NewFromInt(2)
var Delta fixedpoint.Value = fixedpoint.NewFromFloat(0.01)
var Fee = 0.0008 // taker fee % * 2, for upper bound
func init() {
bbgo.RegisterStrategy(ID, &Strategy{})
}
func filterErrors(errs []error) (es []error) {
for _, e := range errs {
if _, ok := e.(types.ZeroAssetError); ok {
continue
}
if bbgo.ErrExceededSubmitOrderRetryLimit == e {
continue
}
es = append(es, e)
}
return es
}
type Strategy struct {
Symbol string `json:"symbol"`
bbgo.OpenPositionOptions
bbgo.StrategyController
types.Market
types.IntervalWindow
bbgo.SourceSelector
*bbgo.Environment
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*types.Position `persistence:"position"`
*types.ProfitStats `persistence:"profit_stats"`
*types.TradeStats `persistence:"trade_stats"`
MinInterval types.Interval `json:"MinInterval"` // minimum interval referred for doing stoploss/trailing exists and updating highest/lowest
elapsed *types.Queue
priceLines *types.Queue
trendLine types.UpdatableSeriesExtend
ma types.UpdatableSeriesExtend
stdevHigh *indicator.StdDev
stdevLow *indicator.StdDev
drift *DriftMA
atr *indicator.ATR
midPrice fixedpoint.Value // the midPrice is the average of bestBid and bestAsk in public orderbook
lock sync.RWMutex `ignore:"true"` // lock for midPrice
positionLock sync.RWMutex `ignore:"true"` // lock for highest/lowest and p
pendingLock sync.Mutex `ignore:"true"`
startTime time.Time // trading start time
maxCounterBuyCanceled int // the largest counter of the order on the buy side been cancelled. meaning the latest cancelled buy order.
maxCounterSellCanceled int // the largest counter of the order on the sell side been cancelled. meaning the latest cancelled sell order.
orderPendingCounter map[uint64]int // records the timepoint when the orders are created, using the counter at the time.
frameKLine *types.KLine // last kline in Interval
klineMin *types.KLine // last kline in MinInterval
beta float64 // last beta value from trendline's linear regression (previous slope of the trendline)
Debug bool `json:"debug" modifiable:"true"` // to print debug message or not
UseStopLoss bool `json:"useStopLoss" modifiable:"true"` // whether to use stoploss rate to do stoploss
UseAtr bool `json:"useAtr" modifiable:"true"` // use atr as stoploss
StopLoss fixedpoint.Value `json:"stoploss" modifiable:"true"` // stoploss rate
PredictOffset int `json:"predictOffset"` // the lookback length for the prediction using linear regression
HighLowVarianceMultiplier float64 `json:"hlVarianceMultiplier" modifiable:"true"` // modifier to set the limit order price
NoTrailingStopLoss bool `json:"noTrailingStopLoss" modifiable:"true"` // turn off the trailing exit and stoploss
HLRangeWindow int `json:"hlRangeWindow"` // ma window for kline high/low changes
SmootherWindow int `json:"smootherWindow"` // window that controls the smoothness of drift
FisherTransformWindow int `json:"fisherTransformWindow"` // fisher transform window to filter drift's negative signals
ATRWindow int `json:"atrWindow"` // window for atr indicator
PendingMinInterval int `json:"pendingMinInterval" modifiable:"true"` // if order not be traded for pendingMinInterval of time, cancel it.
NoRebalance bool `json:"noRebalance" modifiable:"true"` // 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" modifiable:"true"` // beta filter on the Linear Regression of trendLine
TrailingCallbackRate []float64 `json:"trailingCallbackRate" modifiable:"true"`
TrailingActivationRatio []float64 `json:"trailingActivationRatio" modifiable:"true"`
buyPrice float64 `persistence:"buy_price"` // price when a long position is opened
sellPrice float64 `persistence:"sell_price"` // price when a short position is opened
highestPrice float64 `persistence:"highest_price"` // highestPrice when the position is opened
lowestPrice float64 `persistence:"lowest_price"` // lowestPrice when the position is opened
// This is not related to trade but for statistics graph generation
// Will deduct fee in percentage from every trade
GraphPNLDeductFee bool `json:"graphPNLDeductFee"`
CanvasPath string `json:"canvasPath"` // backtest related. the path to store the indicator graph
GraphPNLPath string `json:"graphPNLPath"` // backtest related. the path to store the pnl % graph per trade graph.
GraphCumPNLPath string `json:"graphCumPNLPath"` // backtest related. the path to store the asset changes in graph
GraphElapsedPath string `json:"graphElapsedPath"` // the path to store the elapsed time in ms
GenerateGraph bool `json:"generateGraph"` // whether to generate graph when shutdown
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ExitMethods bbgo.ExitMethodSet `json:"exits"`
Session *bbgo.ExchangeSession
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*bbgo.FastOrderExecutor
getLastPrice func() fixedpoint.Value
}
func (s *Strategy) ID() string {
return ID
}
func (s *Strategy) InstanceID() string {
return fmt.Sprintf("%s:%s:%v", ID, s.Symbol, bbgo.IsBackTesting)
}
func (s *Strategy) Subscribe(session *bbgo.ExchangeSession) {
// by default, bbgo only pre-subscribe 1000 klines.
// this is not enough if we're subscribing 30m intervals using SerialMarketDataStore
if !bbgo.IsBackTesting {
session.Subscribe(types.BookTickerChannel, s.Symbol, types.SubscribeOptions{})
session.Subscribe(types.MarketTradeChannel, s.Symbol, types.SubscribeOptions{})
// able to preload
if s.MinInterval.Milliseconds() >= types.Interval1s.Milliseconds() && s.MinInterval.Milliseconds()%types.Interval1s.Milliseconds() == 0 {
maxWindow := (s.Window + s.SmootherWindow + s.FisherTransformWindow) * (s.Interval.Milliseconds() / s.MinInterval.Milliseconds())
bbgo.KLinePreloadLimit = int64((maxWindow/1000 + 1) * 1000)
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
Interval: s.MinInterval,
})
} else {
bbgo.KLinePreloadLimit = 0
}
} else {
maxWindow := (s.Window + s.SmootherWindow + s.FisherTransformWindow) * (s.Interval.Milliseconds() / s.MinInterval.Milliseconds())
bbgo.KLinePreloadLimit = int64((maxWindow/1000 + 1) * 1000)
// gave up preload
if s.Interval.Milliseconds() < s.MinInterval.Milliseconds() {
bbgo.KLinePreloadLimit = 0
}
log.Errorf("set kLinePreloadLimit to %d, %d %d", bbgo.KLinePreloadLimit, s.Interval.Milliseconds()/s.MinInterval.Milliseconds(), maxWindow)
if bbgo.KLinePreloadLimit > 0 {
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{
Interval: s.MinInterval,
})
}
}
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s.ExitMethods.SetAndSubscribe(session, s)
}
func (s *Strategy) CurrentPosition() *types.Position {
return s.Position
}
func (s *Strategy) SubmitOrder(ctx context.Context, submitOrder types.SubmitOrder) (*types.Order, error) {
formattedOrder, err := s.Session.FormatOrder(submitOrder)
if err != nil {
return nil, err
}
createdOrders, errIdx, err := bbgo.BatchPlaceOrder(ctx, s.Session.Exchange, nil, formattedOrder)
if len(errIdx) > 0 {
return nil, err
}
return &createdOrders[0], err
}
const closeOrderRetryLimit = 5
func (s *Strategy) ClosePosition(ctx context.Context, percentage fixedpoint.Value) error {
order := s.Position.NewMarketCloseOrder(percentage)
if order == nil {
return nil
}
order.Tag = "close"
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order.TimeInForce = ""
order.MarginSideEffect = types.SideEffectTypeAutoRepay
for i := 0; i < closeOrderRetryLimit; i++ {
price := s.getLastPrice()
balances := s.Session.GetAccount().Balances()
baseBalance := balances[s.Market.BaseCurrency].Total()
if order.Side == types.SideTypeBuy {
quoteAmount := balances[s.Market.QuoteCurrency].Total().Div(price)
if order.Quantity.Compare(quoteAmount) > 0 {
order.Quantity = quoteAmount
}
} else if order.Side == types.SideTypeSell && order.Quantity.Compare(baseBalance) > 0 {
order.Quantity = baseBalance
}
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if s.Market.IsDustQuantity(order.Quantity, price) {
return nil
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}
o, err := s.SubmitOrder(ctx, *order)
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if err != nil {
order.Quantity = order.Quantity.Mul(fixedpoint.One.Sub(Delta))
continue
}
if o != nil {
if o.Status == types.OrderStatusNew || o.Status == types.OrderStatusPartiallyFilled {
log.Errorf("created Order when Close: %v", o)
}
}
return nil
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}
return errors.New("exceed retry limit")
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}
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.drift = &DriftMA{
drift: &indicator.WeightedDrift{
MA: &indicator.SMA{IntervalWindow: s.IntervalWindow},
IntervalWindow: s.IntervalWindow,
},
ma1: &indicator.EWMA{
IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.SmootherWindow},
},
ma2: &indicator.FisherTransform{
IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.FisherTransformWindow},
},
}
s.drift.SeriesBase.Series = s.drift
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}}
if bbgo.KLinePreloadLimit == 0 {
return nil
}
klines, ok := store.KLinesOfInterval(s.Interval)
klinesLength := len(*klines)
if !ok || klinesLength == 0 {
return errors.New("klines not exists")
}
log.Infof("loaded %d klines", klinesLength)
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(0))
s.stdevLow.Update(s.ma.Last(0) - low)
s.drift.Update(source, kline.Volume.Abs().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(s.MinInterval)
klinesLength = len(*klines)
if !ok || klinesLength == 0 {
return errors.New("klines not exists")
}
log.Infof("loaded %d klines%s", klinesLength, s.MinInterval)
if s.klineMin != nil && klines != nil {
s.klineMin.Set(&(*klines)[len(*klines)-1])
}
return nil
}
func (s *Strategy) smartCancel(ctx context.Context, pricef, atr float64, syscounter int) (int, error) {
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nonTraded := s.FastOrderExecutor.ActiveMakerOrders().Orders()
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if len(nonTraded) > 0 {
if len(nonTraded) > 1 {
log.Errorf("should only have one order to cancel, got %d", len(nonTraded))
}
toCancel := false
for _, order := range nonTraded {
if order.Status != types.OrderStatusNew && order.Status != types.OrderStatusPartiallyFilled {
continue
}
s.pendingLock.Lock()
counter := s.orderPendingCounter[order.OrderID]
s.pendingLock.Unlock()
log.Warnf("%v | counter: %d, system: %d", order, counter, syscounter)
if syscounter-counter > s.PendingMinInterval {
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toCancel = true
} else if order.Side == types.SideTypeBuy {
// 75% of the probability
if order.Price.Float64()+atr*2 <= pricef {
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toCancel = true
}
} else if order.Side == types.SideTypeSell {
// 75% of the probability
if order.Price.Float64()-atr*2 >= pricef {
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toCancel = true
}
} else {
panic("not supported side for the order")
}
}
if toCancel {
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err := s.FastOrderExecutor.Cancel(ctx)
s.pendingLock.Lock()
counters := s.orderPendingCounter
s.orderPendingCounter = make(map[uint64]int)
s.pendingLock.Unlock()
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// TODO: clean orderPendingCounter on cancel/trade
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for _, order := range nonTraded {
counter := counters[order.OrderID]
if order.Side == types.SideTypeSell {
if s.maxCounterSellCanceled < counter {
s.maxCounterSellCanceled = counter
}
} else {
if s.maxCounterBuyCanceled < counter {
s.maxCounterBuyCanceled = counter
}
}
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}
log.Warnf("cancel all %v", err)
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return 0, err
}
}
return len(nonTraded), nil
}
func (s *Strategy) trailingCheck(price float64, direction string) bool {
if s.highestPrice > 0 && s.highestPrice < price {
s.highestPrice = price
}
if s.lowestPrice > 0 && s.lowestPrice > price {
s.lowestPrice = price
}
isShort := direction == "short"
if isShort && s.sellPrice == 0 || !isShort && s.buyPrice == 0 {
return false
}
for i := len(s.TrailingCallbackRate) - 1; i >= 0; i-- {
trailingCallbackRate := s.TrailingCallbackRate[i]
trailingActivationRatio := s.TrailingActivationRatio[i]
if isShort {
if (s.sellPrice-s.lowestPrice)/s.lowestPrice > trailingActivationRatio {
return (price-s.lowestPrice)/s.lowestPrice > trailingCallbackRate
}
} else {
if (s.highestPrice-s.buyPrice)/s.buyPrice > trailingActivationRatio {
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return (s.highestPrice-price)/s.buyPrice > trailingCallbackRate
}
}
}
return false
}
func (s *Strategy) initTickerFunctions(ctx context.Context) {
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if s.IsBackTesting() {
s.getLastPrice = func() fixedpoint.Value {
lastPrice, ok := s.Session.LastPrice(s.Symbol)
if !ok {
log.Error("cannot get lastprice")
}
return lastPrice
}
} else {
s.Session.MarketDataStream.OnBookTickerUpdate(func(ticker types.BookTicker) {
bestBid := ticker.Buy
bestAsk := ticker.Sell
if !util.TryLock(&s.lock) {
return
}
if !bestAsk.IsZero() && !bestBid.IsZero() {
s.midPrice = bestAsk.Add(bestBid).Div(Two)
} else if !bestAsk.IsZero() {
s.midPrice = bestAsk
} else {
s.midPrice = bestBid
}
s.lock.Unlock()
// we removed realtime stoploss and trailingStop.
})
s.getLastPrice = func() (lastPrice fixedpoint.Value) {
var ok bool
s.lock.RLock()
defer s.lock.RUnlock()
if s.midPrice.IsZero() {
lastPrice, ok = s.Session.LastPrice(s.Symbol)
if !ok {
log.Error("cannot get lastprice")
return lastPrice
}
} else {
lastPrice = s.midPrice
}
return lastPrice
}
}
}
// Sending new rebalance orders cost too much.
// Modify the position instead to expect the strategy itself rebalance on Close
func (s *Strategy) Rebalance(ctx context.Context) {
price := s.getLastPrice()
_, beta := types.LinearRegression(s.trendLine, 3)
if math.Abs(beta) > s.RebalanceFilter && math.Abs(s.beta) > s.RebalanceFilter || math.Abs(s.beta) < s.RebalanceFilter && math.Abs(beta) < s.RebalanceFilter {
return
}
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balances := s.FastOrderExecutor.Session().GetAccount().Balances()
baseBalance := balances[s.Market.BaseCurrency].Total()
quoteBalance := balances[s.Market.QuoteCurrency].Total()
total := baseBalance.Add(quoteBalance.Div(price))
percentage := fixedpoint.One.Sub(Delta)
log.Infof("rebalance beta %f %v", beta, s.Position)
if beta > s.RebalanceFilter {
if total.Mul(percentage).Compare(baseBalance) > 0 {
q := total.Mul(percentage).Sub(baseBalance)
s.Position.Lock()
defer s.Position.Unlock()
s.Position.Base = q.Neg()
s.Position.Quote = q.Mul(price)
s.Position.AverageCost = price
}
} else if beta <= -s.RebalanceFilter {
if total.Mul(percentage).Compare(quoteBalance.Div(price)) > 0 {
q := total.Mul(percentage).Sub(quoteBalance.Div(price))
s.Position.Lock()
defer s.Position.Unlock()
s.Position.Base = q
s.Position.Quote = q.Mul(price).Neg()
s.Position.AverageCost = price
}
} else {
if total.Div(Two).Compare(quoteBalance.Div(price)) > 0 {
q := total.Div(Two).Sub(quoteBalance.Div(price))
s.Position.Lock()
defer s.Position.Unlock()
s.Position.Base = q
s.Position.Quote = q.Mul(price).Neg()
s.Position.AverageCost = price
} else if total.Div(Two).Compare(baseBalance) > 0 {
q := total.Div(Two).Sub(baseBalance)
s.Position.Lock()
defer s.Position.Unlock()
s.Position.Base = q.Neg()
s.Position.Quote = q.Mul(price)
s.Position.AverageCost = price
} else {
s.Position.Lock()
defer s.Position.Unlock()
s.Position.Reset()
}
}
log.Infof("rebalanceafter %v %v %v", baseBalance, quoteBalance, s.Position)
s.beta = beta
}
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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) klineHandlerMin(ctx context.Context, kline types.KLine, counter int) {
s.klineMin.Set(&kline)
if s.Status != types.StrategyStatusRunning {
return
}
// for doing the trailing stoploss during backtesting
atr := s.atr.Last(0)
price := s.getLastPrice()
pricef := price.Float64()
lowf := math.Min(kline.Low.Float64(), pricef)
highf := math.Max(kline.High.Float64(), pricef)
s.positionLock.Lock()
if s.lowestPrice > 0 && lowf < s.lowestPrice {
s.lowestPrice = lowf
}
if s.highestPrice > 0 && highf > s.highestPrice {
s.highestPrice = highf
}
s.positionLock.Unlock()
numPending := 0
var err error
if numPending, err = s.smartCancel(ctx, pricef, atr, counter); err != nil {
log.WithError(err).Errorf("cannot cancel orders")
return
}
if numPending > 0 {
return
}
if s.NoTrailingStopLoss {
return
}
exitCondition := s.CheckStopLoss() || s.trailingCheck(highf, "short") || s.trailingCheck(lowf, "long")
if exitCondition {
_ = s.ClosePosition(ctx, fixedpoint.One)
}
}
func (s *Strategy) klineHandler(ctx context.Context, kline types.KLine, counter int) {
start := time.Now()
defer func() {
end := time.Now()
elapsed := end.Sub(start)
s.elapsed.Update(float64(elapsed) / 1000000)
}()
s.frameKLine.Set(&kline)
source := s.GetSource(&kline)
sourcef := source.Float64()
s.priceLines.Update(sourcef)
s.ma.Update(sourcef)
s.trendLine.Update(sourcef)
s.drift.Update(sourcef, kline.Volume.Abs().Float64())
s.atr.PushK(kline)
atr := s.atr.Last(0)
price := kline.Close // s.getLastPrice()
pricef := price.Float64()
lowf := math.Min(kline.Low.Float64(), pricef)
highf := math.Max(kline.High.Float64(), pricef)
lowdiff := pricef - lowf
s.stdevLow.Update(lowdiff)
highdiff := highf - pricef
s.stdevHigh.Update(highdiff)
drift := s.drift.Array(2)
if len(drift) < 2 || len(drift) < s.PredictOffset {
return
}
ddrift := s.drift.drift.Array(2)
if len(ddrift) < 2 || len(ddrift) < s.PredictOffset {
return
}
if s.Status != types.StrategyStatusRunning {
return
}
log.Infof("highdiff: %3.2f open: %8v, close: %8v, high: %8v, low: %8v, time: %v %v", s.stdevHigh.Last(0), kline.Open, kline.Close, kline.High, kline.Low, kline.StartTime, kline.EndTime)
s.positionLock.Lock()
if s.lowestPrice > 0 && lowf < s.lowestPrice {
s.lowestPrice = lowf
}
if s.highestPrice > 0 && highf > s.highestPrice {
s.highestPrice = highf
}
s.positionLock.Unlock()
if !s.NoRebalance {
s.Rebalance(ctx)
}
if s.Debug {
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balances := s.FastOrderExecutor.Session().GetAccount().Balances()
bbgo.Notify("source: %.4f, price: %.4f, drift[0]: %.4f, ddrift[0]: %.4f, lowf %.4f, highf: %.4f lowest: %.4f highest: %.4f sp %.4f bp %.4f",
sourcef, pricef, drift[0], ddrift[0], atr, lowf, highf, s.lowestPrice, s.highestPrice, s.sellPrice, s.buyPrice)
// Notify will parse args to strings and process separately
bbgo.Notify("balances: [Total] %v %s [Base] %s(%v %s) [Quote] %s",
s.CalcAssetValue(price),
s.Market.QuoteCurrency,
balances[s.Market.BaseCurrency].String(),
balances[s.Market.BaseCurrency].Total().Mul(price),
s.Market.QuoteCurrency,
balances[s.Market.QuoteCurrency].String(),
)
}
shortCondition := drift[1] >= 0 && drift[0] <= 0 || (drift[1] >= drift[0] && drift[1] <= 0) || ddrift[1] >= 0 && ddrift[0] <= 0 || (ddrift[1] >= ddrift[0] && ddrift[1] <= 0)
longCondition := drift[1] <= 0 && drift[0] >= 0 || (drift[1] <= drift[0] && drift[1] >= 0) || ddrift[1] <= 0 && ddrift[0] >= 0 || (ddrift[1] <= ddrift[0] && ddrift[1] >= 0)
if shortCondition && longCondition {
if s.priceLines.Index(1) > s.priceLines.Last(0) {
longCondition = false
} else {
shortCondition = false
}
}
exitCondition := !s.NoTrailingStopLoss && (s.CheckStopLoss() || s.trailingCheck(pricef, "short") || s.trailingCheck(pricef, "long"))
if exitCondition || longCondition || shortCondition {
var err error
var hold int
if hold, err = s.smartCancel(ctx, pricef, atr, counter); err != nil {
log.WithError(err).Errorf("cannot cancel orders")
}
if hold > 0 {
return
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}
} else {
if _, err := s.smartCancel(ctx, pricef, atr, counter); err != nil {
log.WithError(err).Errorf("cannot cancel orders")
}
return
}
if exitCondition {
_ = s.ClosePosition(ctx, fixedpoint.One)
return
}
if longCondition {
source = source.Sub(fixedpoint.NewFromFloat(s.stdevLow.Last(0) * s.HighLowVarianceMultiplier))
if source.Compare(price) > 0 {
source = price
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}
opt := s.OpenPositionOptions
opt.Long = true
opt.LimitOrder = true
// force to use market taker
if counter-s.maxCounterBuyCanceled <= s.PendingMinInterval && s.maxCounterBuyCanceled > s.maxCounterSellCanceled {
opt.LimitOrder = false
source = price
}
opt.Price = source
opt.Tags = []string{"long"}
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submitOrder, err := s.FastOrderExecutor.NewOrderFromOpenPosition(ctx, &opt)
if err != nil {
errs := filterErrors(multierr.Errors(err))
if len(errs) > 0 {
log.Errorf("%v", errs)
log.WithError(err).Errorf("cannot place buy order")
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}
return
}
if submitOrder == nil {
return
}
log.Infof("source in long %v %v %f", source, price, s.stdevLow.Last(0))
o, err := s.SubmitOrder(ctx, *submitOrder)
if err != nil {
log.WithError(err).Errorf("cannot place buy order")
return
}
log.Infof("order %v", o)
if o != nil {
if o.Status == types.OrderStatusNew || o.Status == types.OrderStatusPartiallyFilled {
s.pendingLock.Lock()
if _, ok := s.orderPendingCounter[o.OrderID]; !ok {
s.orderPendingCounter[o.OrderID] = counter
}
s.pendingLock.Unlock()
}
}
return
}
if shortCondition {
source = source.Add(fixedpoint.NewFromFloat(s.stdevHigh.Last(0) * s.HighLowVarianceMultiplier))
if source.Compare(price) < 0 {
source = price
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}
log.Infof("source in short: %v %v %f", source, price, s.stdevLow.Last(0))
opt := s.OpenPositionOptions
opt.Short = true
opt.LimitOrder = true
if counter-s.maxCounterSellCanceled <= s.PendingMinInterval && s.maxCounterSellCanceled > s.maxCounterBuyCanceled {
opt.LimitOrder = false
source = price
}
opt.Price = source
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opt.Tags = []string{"short"}
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submitOrder, err := s.FastOrderExecutor.NewOrderFromOpenPosition(ctx, &opt)
if err != nil {
errs := filterErrors(multierr.Errors(err))
if len(errs) > 0 {
log.WithError(err).Errorf("cannot place sell order")
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}
return
}
if submitOrder == nil {
return
}
o, err := s.SubmitOrder(ctx, *submitOrder)
if err != nil {
log.WithError(err).Errorf("cannot place sell order")
return
}
log.Infof("order %v", o)
if o != nil {
if o.Status == types.OrderStatusNew || o.Status == types.OrderStatusPartiallyFilled {
s.pendingLock.Lock()
if _, ok := s.orderPendingCounter[o.OrderID]; !ok {
s.orderPendingCounter[o.OrderID] = counter
}
s.pendingLock.Unlock()
}
}
return
}
}
func (s *Strategy) Run(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) error {
if s.Leverage == fixedpoint.Zero {
s.Leverage = fixedpoint.One
}
instanceID := s.InstanceID()
// Will be set by persistence if there's any from DB
if s.Position == nil {
s.Position = types.NewPositionFromMarket(s.Market)
}
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 {
s.ProfitStats = types.NewProfitStats(s.Market)
}
if s.TradeStats == nil {
s.TradeStats = types.NewTradeStats(s.Symbol)
}
// StrategyController
s.Status = types.StrategyStatusRunning
s.OnSuspend(func() {
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_ = s.FastOrderExecutor.GracefulCancel(ctx)
})
s.OnEmergencyStop(func() {
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_ = s.FastOrderExecutor.GracefulCancel(ctx)
_ = s.ClosePosition(ctx, fixedpoint.One)
})
profitChart := floats.Slice{1., 1.}
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price, _ := s.Session.LastPrice(s.Symbol)
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initAsset := s.CalcAssetValue(price).Float64()
cumProfit := floats.Slice{initAsset, initAsset}
modify := func(p float64) float64 {
return p
}
if s.GraphPNLDeductFee {
modify = func(p float64) float64 {
return p * (1. - Fee)
}
}
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s.FastOrderExecutor = bbgo.NewFastOrderExecutor(session, s.Symbol, ID, instanceID, s.Position)
s.FastOrderExecutor.DisableNotify()
orderStore := s.FastOrderExecutor.OrderStore()
orderStore.AddOrderUpdate = true
orderStore.RemoveCancelled = true
orderStore.RemoveFilled = true
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activeOrders := s.FastOrderExecutor.ActiveMakerOrders()
tradeCollector := s.FastOrderExecutor.TradeCollector()
tradeStore := tradeCollector.TradeStore()
syscounter := 0
// Modify activeOrders to force write order updates
s.Session.UserDataStream.OnOrderUpdate(func(order types.Order) {
hasSymbol := len(activeOrders.Symbol) > 0
if hasSymbol && order.Symbol != activeOrders.Symbol {
return
}
switch order.Status {
case types.OrderStatusFilled:
s.pendingLock.Lock()
s.orderPendingCounter = make(map[uint64]int)
s.pendingLock.Unlock()
// make sure we have the order and we remove it
activeOrders.Remove(order)
case types.OrderStatusPartiallyFilled:
s.pendingLock.Lock()
if _, ok := s.orderPendingCounter[order.OrderID]; !ok {
s.orderPendingCounter[order.OrderID] = syscounter
}
s.pendingLock.Unlock()
activeOrders.Add(order)
case types.OrderStatusNew:
s.pendingLock.Lock()
if _, ok := s.orderPendingCounter[order.OrderID]; !ok {
s.orderPendingCounter[order.OrderID] = syscounter
}
s.pendingLock.Unlock()
activeOrders.Add(order)
case types.OrderStatusCanceled, types.OrderStatusRejected:
log.Debugf("[ActiveOrderBook] order status %s, removing order %s", order.Status, order)
s.pendingLock.Lock()
s.orderPendingCounter = make(map[uint64]int)
s.pendingLock.Unlock()
activeOrders.Remove(order)
default:
log.Errorf("unhandled order status: %s", order.Status)
}
orderStore.HandleOrderUpdate(order)
})
s.Session.UserDataStream.OnTradeUpdate(func(trade types.Trade) {
if trade.Symbol != s.Symbol {
return
}
profit, netProfit, madeProfit := s.Position.AddTrade(trade)
tradeStore.Add(trade)
if madeProfit {
p := s.Position.NewProfit(trade, profit, netProfit)
s.Environment.RecordPosition(s.Position, trade, &p)
s.TradeStats.Add(&p)
s.ProfitStats.AddTrade(trade)
s.ProfitStats.AddProfit(p)
bbgo.Notify(&p)
bbgo.Notify(s.ProfitStats)
}
price := trade.Price.Float64()
if s.buyPrice > 0 {
profitChart.Update(modify(price / s.buyPrice))
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cumProfit.Update(s.CalcAssetValue(trade.Price).Float64())
} else if s.sellPrice > 0 {
profitChart.Update(modify(s.sellPrice / price))
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cumProfit.Update(s.CalcAssetValue(trade.Price).Float64())
}
s.positionLock.Lock()
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 = s.Position.ApproximateAverageCost.Float64()
s.sellPrice = 0
s.highestPrice = math.Max(s.buyPrice, s.highestPrice)
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s.lowestPrice = s.buyPrice
} else if s.Position.IsShort() {
s.sellPrice = s.Position.ApproximateAverageCost.Float64()
s.buyPrice = 0
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s.highestPrice = s.sellPrice
if s.lowestPrice == 0 {
s.lowestPrice = s.sellPrice
} else {
s.lowestPrice = math.Min(s.lowestPrice, s.sellPrice)
}
}
s.positionLock.Unlock()
})
s.orderPendingCounter = make(map[uint64]int)
// Exit methods from config
for _, method := range s.ExitMethods {
method.Bind(session, s.GeneralOrderExecutor)
}
s.frameKLine = &types.KLine{}
s.klineMin = &types.KLine{}
s.priceLines = types.NewQueue(300)
s.elapsed = types.NewQueue(60000)
s.initTickerFunctions(ctx)
s.startTime = s.Environment.StartTime()
s.TradeStats.SetIntervalProfitCollector(types.NewIntervalProfitCollector(types.Interval1d, s.startTime))
s.TradeStats.SetIntervalProfitCollector(types.NewIntervalProfitCollector(types.Interval1w, s.startTime))
s.InitDrawCommands(&profitChart, &cumProfit)
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bbgo.RegisterCommand("/config", "Show latest config", func(reply interact.Reply) {
var buffer bytes.Buffer
s.Print(&buffer, false)
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reply.Message(buffer.String())
})
bbgo.RegisterCommand("/dump", "Dump internal params", func(reply interact.Reply) {
reply.Message("Please enter series output length:")
}).Next(func(length string, reply interact.Reply) {
var buffer bytes.Buffer
l, err := strconv.Atoi(length)
if err != nil {
dynamic.ParamDump(s, &buffer)
} else {
dynamic.ParamDump(s, &buffer, l)
}
reply.Message(buffer.String())
})
bbgo.RegisterModifier(s)
// event trigger order: s.Interval => s.MinInterval
store, ok := session.SerialMarketDataStore(ctx, s.Symbol, []types.Interval{s.Interval, s.MinInterval}, !bbgo.IsBackTesting)
if !ok {
panic("cannot get " + s.MinInterval + " history")
}
if err := s.initIndicators(store); err != nil {
log.WithError(err).Errorf("initIndicator failed")
return nil
}
store.OnKLineClosed(func(kline types.KLine) {
counter := int(kline.StartTime.Time().Add(kline.Interval.Duration()).Sub(s.startTime).Milliseconds()) / s.MinInterval.Milliseconds()
syscounter = counter
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if kline.Interval == s.Interval {
s.klineHandler(ctx, kline, counter)
} else if kline.Interval == s.MinInterval {
s.klineHandlerMin(ctx, kline, counter)
}
})
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bbgo.OnShutdown(ctx, func(ctx context.Context, wg *sync.WaitGroup) {
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if !bbgo.IsBackTesting {
bbgo.Sync(ctx, s)
}
var buffer bytes.Buffer
s.Print(&buffer, true, true)
fmt.Fprintln(&buffer, "--- NonProfitable Dates ---")
for _, daypnl := range s.TradeStats.IntervalProfits[types.Interval1d].GetNonProfitableIntervals() {
fmt.Fprintf(&buffer, "%s\n", daypnl)
}
fmt.Fprintln(&buffer, s.TradeStats.BriefString())
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fmt.Fprintf(&buffer, "%v\n", s.orderPendingCounter)
os.Stdout.Write(buffer.Bytes())
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if s.GenerateGraph {
s.Draw(s.frameKLine.StartTime, &profitChart, &cumProfit)
}
wg.Done()
})
return nil
}