Стратегия Traffic Light
Трендовая стратегия, использующая набор скользящих средних, окрашенных как светофор, для определения направления торговли.
Сначала цена должна находиться в определённой зоне, после чего проверяется порядок средних для входа в позицию.
Подробности
- Зона входа:
- По умолчанию: цена должна быть между красной (медленной) и жёлтой (средней) SMA.
- При включённом
UseBlueRange: цена должна быть между верхней и нижней линиями синего канала EMA.
- Условия входа:
- Длинная:
green EMA > blueHigh EMA > yellow SMA > red SMA и price > green EMA.
- Короткая:
green EMA < blueLow EMA < yellow SMA < red SMA и price < green EMA.
- Условия выхода:
- Опционально: при включённом
CloseOnCross позиция закрывается, когда зелёная EMA пересекает жёлтую SMA в противоположном направлении.
- Стопы: опциональные тейк-профит и стоп-лосс в шагах цены.
- Long/Short: оба направления.
- Параметры по умолчанию:
RedMaPeriod = 120
YellowMaPeriod = 55
GreenMaPeriod = 5
BlueMaPeriod = 24
CandleType = TimeSpan.FromMinutes(5).TimeFrame()
TakeProfitTicks = 120
StopLossTicks = 60
UseBlueRange = false
CloseOnCross = true
- Фильтры:
- Категория: Trend following
- Направление: Оба
- Индикаторы: Скользящие средние
- Стопы: Опционально
- Сложность: Средняя
- Таймфрейм: Внутридневной
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Trend following strategy using multiple moving averages similar to a traffic light.
/// Enter long when fast average is above slower ones, short when below.
/// </summary>
public class TrafficLightStrategy : Strategy
{
private readonly StrategyParam<int> _redMaPeriod;
private readonly StrategyParam<int> _yellowMaPeriod;
private readonly StrategyParam<int> _greenMaPeriod;
private readonly StrategyParam<DataType> _candleType;
public int RedMaPeriod { get => _redMaPeriod.Value; set => _redMaPeriod.Value = value; }
public int YellowMaPeriod { get => _yellowMaPeriod.Value; set => _yellowMaPeriod.Value = value; }
public int GreenMaPeriod { get => _greenMaPeriod.Value; set => _greenMaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public TrafficLightStrategy()
{
_redMaPeriod = Param(nameof(RedMaPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("Red MA", "EMA period representing the slow trend", "Parameters");
_yellowMaPeriod = Param(nameof(YellowMaPeriod), 25)
.SetGreaterThanZero()
.SetDisplay("Yellow MA", "EMA period representing the medium trend", "Parameters");
_greenMaPeriod = Param(nameof(GreenMaPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("Green MA", "EMA period representing the fast trend", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for calculations", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var redMa = new ExponentialMovingAverage { Length = RedMaPeriod };
var yellowMa = new ExponentialMovingAverage { Length = YellowMaPeriod };
var greenMa = new ExponentialMovingAverage { Length = GreenMaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(redMa, yellowMa, greenMa, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal red, decimal yellow, decimal green)
{
if (candle.State != CandleStates.Finished)
return;
var price = candle.ClosePrice;
// Long: green > yellow > red and price above green
if (green > yellow && yellow > red && price > green && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Short: green < yellow < red and price below green
else if (green < yellow && yellow < red && price < green && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
// Close on cross
else if (Position > 0 && green < yellow)
{
SellMarket();
}
else if (Position < 0 && green > yellow)
{
BuyMarket();
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class traffic_light_strategy(Strategy):
def __init__(self):
super(traffic_light_strategy, self).__init__()
self._red_ma_period = self.Param("RedMaPeriod", 50) \
.SetDisplay("Red MA", "EMA period representing the slow trend", "Parameters")
self._yellow_ma_period = self.Param("YellowMaPeriod", 25) \
.SetDisplay("Yellow MA", "EMA period representing the medium trend", "Parameters")
self._green_ma_period = self.Param("GreenMaPeriod", 5) \
.SetDisplay("Green MA", "EMA period representing the fast trend", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe for calculations", "General")
@property
def RedMaPeriod(self):
return self._red_ma_period.Value
@RedMaPeriod.setter
def RedMaPeriod(self, value):
self._red_ma_period.Value = value
@property
def YellowMaPeriod(self):
return self._yellow_ma_period.Value
@YellowMaPeriod.setter
def YellowMaPeriod(self, value):
self._yellow_ma_period.Value = value
@property
def GreenMaPeriod(self):
return self._green_ma_period.Value
@GreenMaPeriod.setter
def GreenMaPeriod(self, value):
self._green_ma_period.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(traffic_light_strategy, self).OnStarted2(time)
red_ma = ExponentialMovingAverage()
red_ma.Length = self.RedMaPeriod
yellow_ma = ExponentialMovingAverage()
yellow_ma.Length = self.YellowMaPeriod
green_ma = ExponentialMovingAverage()
green_ma.Length = self.GreenMaPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(red_ma, yellow_ma, green_ma, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, red, yellow, green):
if candle.State != CandleStates.Finished:
return
red_f = float(red)
yellow_f = float(yellow)
green_f = float(green)
price = float(candle.ClosePrice)
if green_f > yellow_f and yellow_f > red_f and price > green_f and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif green_f < yellow_f and yellow_f < red_f and price < green_f and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
elif self.Position > 0 and green_f < yellow_f:
self.SellMarket()
elif self.Position < 0 and green_f > yellow_f:
self.BuyMarket()
def OnReseted(self):
super(traffic_light_strategy, self).OnReseted()
def CreateClone(self):
return traffic_light_strategy()