Merge pull request #653 from andycheng123/strategy/supertrend

strategy: add supertrend strategy
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Andy Cheng 2022-06-07 16:25:49 +08:00 committed by GitHub
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6 changed files with 577 additions and 1 deletions

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@ -313,7 +313,9 @@ Check out the strategy directory [strategy](pkg/strategy) for all built-in strat
indicator [bollgrid](pkg/strategy/bollgrid) indicator [bollgrid](pkg/strategy/bollgrid)
- `grid` strategy implements the fixed price band grid strategy [grid](pkg/strategy/grid). See - `grid` strategy implements the fixed price band grid strategy [grid](pkg/strategy/grid). See
[document](./doc/strategy/grid.md). [document](./doc/strategy/grid.md).
- `support` strategy implements the fixed price band grid strategy [support](pkg/strategy/support). See - `supertrend` strategy uses Supertrend indicator as trend, and DEMA indicator as noise filter [supertrend](pkg/strategy/supertrend). See
[document](./doc/strategy/supertrend.md).
- `support` strategy uses K-lines with high volume as support [support](pkg/strategy/support). See
[document](./doc/strategy/support.md). [document](./doc/strategy/support.md).
- `flashcrash` strategy implements a strategy that catches the flashcrash [flashcrash](pkg/strategy/flashcrash) - `flashcrash` strategy implements a strategy that catches the flashcrash [flashcrash](pkg/strategy/flashcrash)

62
config/supertrend.yaml Normal file
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@ -0,0 +1,62 @@
---
persistence:
redis:
host: 127.0.0.1
port: 6379
db: 0
sessions:
binance:
exchange: binance
envVarPrefix: binance
margin: true
isolatedMargin: true
isolatedMarginSymbol: BTCUSDT
backtest:
sessions: [binance]
# for testing max draw down (MDD) at 03-12
# see here for more details
# https://www.investopedia.com/terms/m/maximum-drawdown-mdd.asp
startTime: "2022-04-01"
endTime: "2022-04-30"
symbols:
- BTCUSDT
accounts:
binance:
makerCommission: 10 # 0.15%
takerCommission: 15 # 0.15%
balances:
BTC: 1.0
USDT: 10000.0
exchangeStrategies:
- on: binance
supertrend:
symbol: BTCUSDT
# interval is how long do you want to update your order price and quantity
interval: 1h
# leverage is the leverage of the orders
leverage: 1.0
# fastDEMAWindow and slowDEMAWindow are for filtering super trend noise
fastDEMAWindow: 144
slowDEMAWindow: 169
# Supertrend indicator parameters
superTrend:
# ATR window used by Supertrend
averageTrueRangeWindow: 39
# ATR Multiplier for calculating super trend prices, the higher, the stronger the trends are
averageTrueRangeMultiplier: 3
# TP according to ATR multiple, 0 to disable this
takeProfitMultiplier: 3
# Set SL price to the low of the triggering Kline
stopLossByTriggeringK: true
# TP/SL by reversed signals
tpslBySignal: true

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@ -22,6 +22,7 @@
* [Grid](strategy/grid.md) - Grid Strategy Explanation * [Grid](strategy/grid.md) - Grid Strategy Explanation
* [Interaction](strategy/interaction.md) - Interaction registration for strategies * [Interaction](strategy/interaction.md) - Interaction registration for strategies
* [Price Alert](strategy/pricealert.md) - Send price alert notification on price changes * [Price Alert](strategy/pricealert.md) - Send price alert notification on price changes
* [Supertrend](strategy/supertrend.md) - Supertrend strategy uses Supertrend indicator as trend, and DEMA indicator as noise filter
* [Support](strategy/support.md) - Support strategy that buys on high volume support * [Support](strategy/support.md) - Support strategy that buys on high volume support
### Development ### Development

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@ -0,0 +1,36 @@
### Supertrend Strategy
This strategy uses Supertrend indicator as trend, and DEMA indicator as noise filter.
Supertrend strategy needs margin enabled in order to submit short orders, and you can use `leverage` parameter to limit your risk.
**Please note, using leverage higher than 1 is highly risky.**
#### Parameters
- `symbol`
- The trading pair symbol, e.g., `BTCUSDT`, `ETHUSDT`
- `interval`
- The K-line interval, e.g., `5m`, `1h`
- `leverage`
- The leverage of the orders.
- `fastDEMAWindow`
- The MA window of the fast DEMA.
- `slowDEMAWindow`
- The MA window of the slow DEMA.
- `superTrend`
- Supertrend indicator for deciding current trend.
- `averageTrueRangeWindow`
- The MA window of the ATR indicator used by Supertrend.
- `averageTrueRangeMultiplier`
- Multiplier for calculating upper and lower bond prices, the higher, the stronger the trends are, but also makes it less sensitive.
- `takeProfitMultiplier`
- TP according to ATR multiple, 0 to disable this.
- `stopLossByTriggeringK`
- Set SL price to the low of the triggering Kline.
- `tpslBySignal`
- TP/SL by reversed signals.
#### Examples
See [supertrend.yaml](../../config/supertrend.yaml)

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@ -20,6 +20,7 @@ import (
_ "github.com/c9s/bbgo/pkg/strategy/rebalance" _ "github.com/c9s/bbgo/pkg/strategy/rebalance"
_ "github.com/c9s/bbgo/pkg/strategy/schedule" _ "github.com/c9s/bbgo/pkg/strategy/schedule"
_ "github.com/c9s/bbgo/pkg/strategy/skeleton" _ "github.com/c9s/bbgo/pkg/strategy/skeleton"
_ "github.com/c9s/bbgo/pkg/strategy/supertrend"
_ "github.com/c9s/bbgo/pkg/strategy/support" _ "github.com/c9s/bbgo/pkg/strategy/support"
_ "github.com/c9s/bbgo/pkg/strategy/swing" _ "github.com/c9s/bbgo/pkg/strategy/swing"
_ "github.com/c9s/bbgo/pkg/strategy/techsignal" _ "github.com/c9s/bbgo/pkg/strategy/techsignal"

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@ -0,0 +1,474 @@
package supertrend
import (
"context"
"fmt"
"github.com/c9s/bbgo/pkg/bbgo"
"github.com/c9s/bbgo/pkg/fixedpoint"
"github.com/c9s/bbgo/pkg/indicator"
"github.com/c9s/bbgo/pkg/types"
"github.com/pkg/errors"
"github.com/sirupsen/logrus"
"math"
"sync"
)
const ID = "supertrend"
const stateKey = "state-v1"
var log = logrus.WithField("strategy", ID)
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{})
}
type SuperTrend struct {
// AverageTrueRangeWindow ATR window for calculation of supertrend
AverageTrueRangeWindow int `json:"averageTrueRangeWindow"`
// AverageTrueRangeMultiplier ATR multiplier for calculation of supertrend
AverageTrueRangeMultiplier float64 `json:"averageTrueRangeMultiplier"`
averageTrueRange *indicator.ATR
closePrice float64
lastClosePrice float64
uptrendPrice float64
lastUptrendPrice float64
downtrendPrice float64
lastDowntrendPrice float64
trend types.Direction
lastTrend types.Direction
tradeSignal types.Direction
}
// update SuperTrend indicator
func (st *SuperTrend) update(kline types.KLine) {
highPrice := kline.GetHigh().Float64()
lowPrice := kline.GetLow().Float64()
closePrice := kline.GetClose().Float64()
// Update ATR
st.averageTrueRange.Update(highPrice, lowPrice, closePrice)
// Update last prices
st.lastUptrendPrice = st.uptrendPrice
st.lastDowntrendPrice = st.downtrendPrice
st.lastClosePrice = st.closePrice
st.lastTrend = st.trend
st.closePrice = closePrice
src := (highPrice + lowPrice) / 2
// Update uptrend
st.uptrendPrice = src - st.averageTrueRange.Last()*st.AverageTrueRangeMultiplier
if st.lastClosePrice > st.lastUptrendPrice {
st.uptrendPrice = math.Max(st.uptrendPrice, st.lastUptrendPrice)
}
// Update downtrend
st.downtrendPrice = src + st.averageTrueRange.Last()*st.AverageTrueRangeMultiplier
if st.lastClosePrice < st.lastDowntrendPrice {
st.downtrendPrice = math.Min(st.downtrendPrice, st.lastDowntrendPrice)
}
// Update trend
if st.lastTrend == types.DirectionUp && st.closePrice < st.lastUptrendPrice {
st.trend = types.DirectionDown
} else if st.lastTrend == types.DirectionDown && st.closePrice > st.lastDowntrendPrice {
st.trend = types.DirectionUp
} else {
st.trend = st.lastTrend
}
// Update signal
if st.trend == types.DirectionUp && st.lastTrend == types.DirectionDown {
st.tradeSignal = types.DirectionUp
} else if st.trend == types.DirectionDown && st.lastTrend == types.DirectionUp {
st.tradeSignal = types.DirectionDown
} else {
st.tradeSignal = types.DirectionNone
}
}
// getSignal returns SuperTrend signal
func (st *SuperTrend) getSignal() types.Direction {
return st.tradeSignal
}
type Strategy struct {
*bbgo.Graceful
*bbgo.Notifiability
*bbgo.Persistence
Environment *bbgo.Environment
session *bbgo.ExchangeSession
Market types.Market
// persistence fields
Position *types.Position `json:"position,omitempty" persistence:"position"`
ProfitStats *types.ProfitStats `json:"profitStats,omitempty" persistence:"profit_stats"`
// Order and trade
orderStore *bbgo.OrderStore
tradeCollector *bbgo.TradeCollector
// groupID is the group ID used for the strategy instance for canceling orders
groupID uint32
stopC chan struct{}
// 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"`
// FastDEMAWindow DEMA window for checking breakout
FastDEMAWindow int `json:"fastDEMAWindow"`
// SlowDEMAWindow DEMA window for checking breakout
SlowDEMAWindow int `json:"slowDEMAWindow"`
fastDEMA *indicator.DEMA
slowDEMA *indicator.DEMA
// SuperTrend indicator
SuperTrend SuperTrend `json:"superTrend"`
// Leverage
Leverage float64 `json:"leverage"`
// TakeProfitMultiplier TP according to ATR multiple, 0 to disable this
TakeProfitMultiplier float64 `json:"takeProfitMultiplier"`
// StopLossByTriggeringK Set SL price to the low of the triggering Kline
StopLossByTriggeringK bool `json:"stopLossByTriggeringK"`
// TPSLBySignal TP/SL by reversed signals
TPSLBySignal bool `json:"tpslBySignal"`
currentTakeProfitPrice fixedpoint.Value
currentStopLossPrice fixedpoint.Value
// StrategyController
bbgo.StrategyController
}
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")
}
if s.Leverage == 0.0 {
return errors.New("leverage is required")
}
return nil
}
func (s *Strategy) Subscribe(session *bbgo.ExchangeSession) {
session.Subscribe(types.KLineChannel, s.Symbol, types.SubscribeOptions{Interval: s.Interval})
}
// 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("order quantity %v is too small, less than %v", quantity, s.Market.MinQuantity)
}
orderForm := s.generateOrderForm(side, quantity, types.SideEffectTypeAutoRepay)
s.Notify("Submitting %s %s order to close position by %v", s.Symbol, side.String(), percentage, orderForm)
createdOrders, err := s.session.Exchange.SubmitOrders(ctx, orderForm)
if err != nil {
log.WithError(err).Errorf("can not place position close order")
}
s.orderStore.Add(createdOrders...)
s.tradeCollector.Process()
_ = s.Persistence.Sync(s)
return err
}
// setupIndicators initializes indicators
func (s *Strategy) setupIndicators() {
if s.FastDEMAWindow == 0 {
s.FastDEMAWindow = 144
}
s.fastDEMA = &indicator.DEMA{IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.FastDEMAWindow}}
if s.SlowDEMAWindow == 0 {
s.SlowDEMAWindow = 169
}
s.slowDEMA = &indicator.DEMA{IntervalWindow: types.IntervalWindow{Interval: s.Interval, Window: s.SlowDEMAWindow}}
if s.SuperTrend.AverageTrueRangeWindow == 0 {
s.SuperTrend.AverageTrueRangeWindow = 39
}
s.SuperTrend.averageTrueRange = &indicator.ATR{IntervalWindow: types.IntervalWindow{Window: s.SuperTrend.AverageTrueRangeWindow, Interval: s.Interval}}
s.SuperTrend.trend = types.DirectionUp
if s.SuperTrend.AverageTrueRangeMultiplier == 0 {
s.SuperTrend.AverageTrueRangeMultiplier = 3
}
}
// updateIndicators updates indicators
func (s *Strategy) updateIndicators(kline types.KLine) {
closePrice := kline.GetClose().Float64()
// Update indicators
if kline.Interval == s.fastDEMA.Interval {
s.fastDEMA.Update(closePrice)
}
if kline.Interval == s.slowDEMA.Interval {
s.slowDEMA.Update(closePrice)
}
if kline.Interval == s.SuperTrend.averageTrueRange.Interval {
s.SuperTrend.update(kline)
}
}
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(currentPrice fixedpoint.Value) fixedpoint.Value {
balance, ok := s.session.GetAccount().Balance(s.Market.QuoteCurrency)
if !ok {
log.Error("can not update balance from exchange")
return fixedpoint.Zero
}
amountAvailable := balance.Available.Mul(fixedpoint.NewFromFloat(s.Leverage))
quantity := amountAvailable.Div(currentPrice)
return quantity
}
func (s *Strategy) Run(ctx context.Context, orderExecutor bbgo.OrderExecutor, session *bbgo.ExchangeSession) error {
s.session = session
// 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()
s.stopC = make(chan struct{})
// Profit
if s.ProfitStats == nil {
s.ProfitStats = types.NewProfitStats(s.Market)
}
s.orderStore = bbgo.NewOrderStore(s.Symbol)
s.orderStore.BindStream(session.UserDataStream)
// StrategyController
s.Status = types.StrategyStatusRunning
s.OnSuspend(func() {
_ = s.Persistence.Sync(s)
})
s.OnEmergencyStop(func() {
// Close 100% position
if err := s.ClosePosition(ctx, fixedpoint.One); err != nil {
s.Notify("can not close position")
}
})
// Setup indicators
s.setupIndicators()
s.currentStopLossPrice = fixedpoint.Zero
s.currentTakeProfitPrice = fixedpoint.Zero
session.MarketDataStream.OnKLineClosed(func(kline types.KLine) {
// StrategyController
if s.Status != types.StrategyStatusRunning {
return
}
// skip k-lines from other symbols or other intervals
if kline.Symbol != s.Symbol || kline.Interval != s.Interval {
return
}
// Update indicators
s.updateIndicators(kline)
// Get signals
closePrice := kline.GetClose().Float64()
openPrice := kline.GetOpen().Float64()
stSignal := s.SuperTrend.getSignal()
var demaSignal types.Direction
if closePrice > s.fastDEMA.Last() && closePrice > s.slowDEMA.Last() && !(openPrice > s.fastDEMA.Last() && openPrice > s.slowDEMA.Last()) {
demaSignal = types.DirectionUp
} else if closePrice < s.fastDEMA.Last() && closePrice < s.slowDEMA.Last() && !(openPrice < s.fastDEMA.Last() && openPrice < s.slowDEMA.Last()) {
demaSignal = types.DirectionDown
} else {
demaSignal = types.DirectionNone
}
base := s.Position.GetBase()
baseSign := base.Sign()
// TP/SL if there's non-dust position
if !s.Market.IsDustQuantity(base.Abs(), kline.GetClose()) {
if s.StopLossByTriggeringK && !s.currentStopLossPrice.IsZero() && ((baseSign < 0 && kline.GetClose().Compare(s.currentStopLossPrice) > 0) || (baseSign > 0 && kline.GetClose().Compare(s.currentStopLossPrice) < 0)) {
// SL by triggered Kline low
if err := s.ClosePosition(ctx, fixedpoint.One); err != nil {
s.Notify("can not place SL order")
} else {
s.currentStopLossPrice = fixedpoint.Zero
s.currentTakeProfitPrice = fixedpoint.Zero
}
} else if s.TakeProfitMultiplier > 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
if err := s.ClosePosition(ctx, fixedpoint.One); err != nil {
s.Notify("can not place TP order")
} else {
s.currentStopLossPrice = fixedpoint.Zero
s.currentTakeProfitPrice = fixedpoint.Zero
}
} else if s.TPSLBySignal {
// Use signals to TP/SL
if (baseSign < 0 && (stSignal == types.DirectionUp || demaSignal == types.DirectionUp)) || (baseSign > 0 && (stSignal == types.DirectionDown || demaSignal == types.DirectionDown)) {
if err := s.ClosePosition(ctx, fixedpoint.One); err != nil {
s.Notify("can not place TP/SL order")
} else {
s.currentStopLossPrice = fixedpoint.Zero
s.currentTakeProfitPrice = fixedpoint.Zero
}
}
}
}
// Open position
var side types.SideType
if stSignal == types.DirectionUp && demaSignal == types.DirectionUp {
side = types.SideTypeBuy
if s.StopLossByTriggeringK {
s.currentStopLossPrice = kline.GetLow()
}
if s.TakeProfitMultiplier > 0 {
s.currentTakeProfitPrice = kline.GetClose().Add(fixedpoint.NewFromFloat(s.SuperTrend.averageTrueRange.Last() * s.TakeProfitMultiplier))
}
} else if stSignal == types.DirectionDown && demaSignal == types.DirectionDown {
side = types.SideTypeSell
if s.StopLossByTriggeringK {
s.currentStopLossPrice = kline.GetHigh()
}
if s.TakeProfitMultiplier > 0 {
s.currentTakeProfitPrice = kline.GetClose().Sub(fixedpoint.NewFromFloat(s.SuperTrend.averageTrueRange.Last() * s.TakeProfitMultiplier))
}
}
if side == types.SideTypeSell || side == types.SideTypeBuy {
// Close opposite position if any
if !s.Market.IsDustQuantity(base.Abs(), kline.GetClose()) && ((side == types.SideTypeSell && baseSign > 0) || (side == types.SideTypeBuy && baseSign < 0)) {
if err := s.ClosePosition(ctx, fixedpoint.One); err != nil {
s.Notify("can not place close position order")
}
}
orderForm := s.generateOrderForm(side, s.calculateQuantity(kline.GetClose()), types.SideEffectTypeMarginBuy)
log.Infof("submit open position order %v", orderForm)
order, err := orderExecutor.SubmitOrders(ctx, orderForm)
if err != nil {
log.WithError(err).Errorf("can not place open position order")
s.Notify("can not place open position order")
} else {
s.orderStore.Add(order...)
}
s.tradeCollector.Process()
_ = s.Persistence.Sync(s)
}
})
s.tradeCollector = bbgo.NewTradeCollector(s.Symbol, s.Position, s.orderStore)
// Record profits
s.tradeCollector.OnTrade(func(trade types.Trade, profit, netProfit fixedpoint.Value) {
s.Notifiability.Notify(trade)
s.ProfitStats.AddTrade(trade)
if profit.Compare(fixedpoint.Zero) == 0 {
s.Environment.RecordPosition(s.Position, trade, nil)
} else {
log.Infof("%s generated profit: %v", s.Symbol, profit)
p := s.Position.NewProfit(trade, profit, netProfit)
p.Strategy = ID
p.StrategyInstanceID = s.InstanceID()
s.Notify(&p)
s.ProfitStats.AddProfit(p)
s.Notify(&s.ProfitStats)
s.Environment.RecordPosition(s.Position, trade, &p)
}
})
s.tradeCollector.BindStream(session.UserDataStream)
// Graceful shutdown
s.Graceful.OnShutdown(func(ctx context.Context, wg *sync.WaitGroup) {
defer wg.Done()
close(s.stopC)
s.tradeCollector.Process()
})
return nil
}