信号機戦略
信号機のように色付けされた移動平均のセットを使用してトレード方向を決定するトレンドフォローアプローチです。 戦略は価格が所定のゾーン内にあるのを待ち、市場に参入する前に平均の順序を確認します。
詳細
- エントリーゾーン:
- デフォルト: 価格は赤(遅い)SMA と黄(中間)SMA の間にある必要があります。
UseBlueRangeが有効な場合: 価格は青い EMA チャンネルの高値ラインと安値ラインの間にある必要があります。
- エントリー条件:
- ロング:
green EMA > blueHigh EMA > yellow SMA > red SMAかつprice > green EMA。 - ショート:
green EMA < blueLow EMA < yellow SMA < red SMAかつprice < green EMA。
- ロング:
- エグジット条件:
- オプション:
CloseOnCrossが有効な場合、緑の EMA が黄の SMA を反対方向にクロスしたときポジションをクローズします。
- オプション:
- ストップ: 価格ステップで測定されるオプションのテイクプロフィットとストップロス。
- ロング/ショート: 両方。
- デフォルト値:
RedMaPeriod= 120YellowMaPeriod= 55GreenMaPeriod= 5BlueMaPeriod= 24CandleType= TimeSpan.FromMinutes(5).TimeFrame()TakeProfitTicks= 120StopLossTicks= 60UseBlueRange= falseCloseOnCross= true
- フィルター:
- カテゴリ: トレンドフォロー
- 方向: 両方
- インジケーター: 移動平均
- ストップ: オプション
- 複雑さ: 中級
- 時間軸: イントラデイ
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中程度
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()