bbgo/pkg/strategy/audacitymaker/orderflow.go

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package audacitymaker
import (
"context"
"git.qtrade.icu/lychiyu/bbgo/pkg/bbgo"
"git.qtrade.icu/lychiyu/bbgo/pkg/datatype/floats"
"git.qtrade.icu/lychiyu/bbgo/pkg/fixedpoint"
"git.qtrade.icu/lychiyu/bbgo/pkg/types"
"gonum.org/v1/gonum/stat"
)
type PerTrade struct {
Symbol string
Market types.Market `json:"-"`
types.IntervalWindow
// MarketOrder is the option to enable market order short.
MarketOrder bool `json:"marketOrder"`
Quantity fixedpoint.Value `json:"quantity"`
orderExecutor *bbgo.GeneralOrderExecutor
session *bbgo.ExchangeSession
activeOrders *bbgo.ActiveOrderBook
StreamBook *types.StreamOrderBook
midPrice fixedpoint.Value
bbgo.QuantityOrAmount
}
func (s *PerTrade) Bind(session *bbgo.ExchangeSession, orderExecutor *bbgo.GeneralOrderExecutor) {
s.session = session
s.orderExecutor = orderExecutor
position := orderExecutor.Position()
symbol := position.Symbol
// ger best bid/ask, not used yet
s.StreamBook = types.NewStreamBook(symbol, session.ExchangeName)
s.StreamBook.BindStream(session.MarketDataStream)
// use queue to do time-series rolling
buyTradeSize := types.NewQueue(200)
sellTradeSize := types.NewQueue(200)
buyTradesNumber := types.NewQueue(200)
sellTradesNumber := types.NewQueue(200)
// [WIP] Order Aggressiveness refers to the percentage of orders that are submitted at market prices, as opposed to limit prices.
// Order flow is the difference between buyer-initiated and seller-initiated trading volume or number of trades.
var orderFlowSize floats.Slice
var orderFlowNumber floats.Slice
var orderFlowSizeMinMax floats.Slice
var orderFlowNumberMinMax floats.Slice
threshold := 3.
session.MarketDataStream.OnMarketTrade(func(trade types.Trade) {
// log.Infof("%s trade @ %f", trade.Side, trade.Price.Float64())
ctx := context.Background()
if trade.Side == types.SideTypeBuy {
// accumulating trading volume from buyer
buyTradeSize.Update(trade.Quantity.Float64())
sellTradeSize.Update(0)
// counting trades of number from seller
buyTradesNumber.Update(1)
sellTradesNumber.Update(0)
} else if trade.Side == types.SideTypeSell {
// accumulating trading volume from buyer
buyTradeSize.Update(0)
sellTradeSize.Update(trade.Quantity.Float64())
// counting trades of number from seller
buyTradesNumber.Update(0)
sellTradesNumber.Update(1)
}
// canceled := s.orderExecutor.GracefulCancel(ctx)
// if canceled != nil {
// _ = s.orderExecutor.GracefulCancel(ctx)
// }
sizeFraction := buyTradeSize.Sum() / sellTradeSize.Sum()
numberFraction := buyTradesNumber.Sum() / sellTradesNumber.Sum()
orderFlowSize.Push(sizeFraction)
if orderFlowSize.Length() > 100 {
// min-max scaling
ofsMax := orderFlowSize.Tail(100).Max()
ofsMin := orderFlowSize.Tail(100).Min()
ofsMinMax := (orderFlowSize.Last(0) - ofsMin) / (ofsMax - ofsMin)
// preserves temporal dependency via polar encoded angles
orderFlowSizeMinMax.Push(ofsMinMax)
}
orderFlowNumber.Push(numberFraction)
if orderFlowNumber.Length() > 100 {
// min-max scaling
ofnMax := orderFlowNumber.Tail(100).Max()
ofnMin := orderFlowNumber.Tail(100).Min()
ofnMinMax := (orderFlowNumber.Last(0) - ofnMin) / (ofnMax - ofnMin)
// preserves temporal dependency via polar encoded angles
orderFlowNumberMinMax.Push(ofnMinMax)
}
if orderFlowSizeMinMax.Length() > 100 && orderFlowNumberMinMax.Length() > 100 {
bid, ask, _ := s.StreamBook.BestBidAndAsk()
if outlier(orderFlowSizeMinMax.Tail(100), threshold) > 0 && outlier(orderFlowNumberMinMax.Tail(100), threshold) > 0 {
_ = s.orderExecutor.GracefulCancel(ctx)
log.Infof("long!!")
// _ = s.placeTrade(ctx, types.SideTypeBuy, s.Quantity, symbol)
_ = s.placeOrder(ctx, types.SideTypeBuy, s.Quantity, bid.Price, symbol)
// _ = s.placeOrder(ctx, types.SideTypeSell, s.Quantity, ask.Price.Mul(fixedpoint.NewFromFloat(1.0005)), symbol)
} else if outlier(orderFlowSizeMinMax.Tail(100), threshold) < 0 && outlier(orderFlowNumberMinMax.Tail(100), threshold) < 0 {
_ = s.orderExecutor.GracefulCancel(ctx)
log.Infof("short!!")
// _ = s.placeTrade(ctx, types.SideTypeSell, s.Quantity, symbol)
_ = s.placeOrder(ctx, types.SideTypeSell, s.Quantity, ask.Price, symbol)
// _ = s.placeOrder(ctx, types.SideTypeBuy, s.Quantity, bid.Price.Mul(fixedpoint.NewFromFloat(0.9995)), symbol)
}
}
})
session.MarketDataStream.OnKLineClosed(types.KLineWith(symbol, s.Interval, func(kline types.KLine) {
log.Info(kline.NumberOfTrades)
}))
if !bbgo.IsBackTesting {
session.MarketDataStream.OnMarketTrade(func(trade types.Trade) {
})
}
}
func (s *PerTrade) placeOrder(
ctx context.Context, side types.SideType, quantity fixedpoint.Value, price fixedpoint.Value, symbol string,
) error {
market, _ := s.session.Market(symbol)
_, err := s.orderExecutor.SubmitOrders(ctx, types.SubmitOrder{
Symbol: symbol,
Market: market,
Side: side,
Type: types.OrderTypeLimitMaker,
Quantity: quantity,
Price: price,
Tag: "audacity-limit",
})
return err
}
func (s *PerTrade) placeTrade(ctx context.Context, side types.SideType, quantity fixedpoint.Value, symbol string) error {
market, _ := s.session.Market(symbol)
_, err := s.orderExecutor.SubmitOrders(ctx, types.SubmitOrder{
Symbol: symbol,
Market: market,
Side: side,
Type: types.OrderTypeMarket,
Quantity: quantity,
Tag: "audacity-market",
})
return err
}
func outlier(fs floats.Slice, multiplier float64) int {
stddev := stat.StdDev(fs, nil)
if fs.Last(0) > fs.Mean()+multiplier*stddev {
return 1
} else if fs.Last(0) < fs.Mean()-multiplier*stddev {
return -1
}
return 0
}