EMA SAR Bulls Bears戦略
この戦略は、高速・低速の指数移動平均線(EMA)、Parabolic SAR、Bulls/Bears Powerインジケーターを組み合わせます。設定されたイントラデイウィンドウ内でのみ取引し、シンプルな利益・損失保護を使用します。
EMA3がEMA34を下回り、Parabolic SARがローソク足の高値の上にあり、Bears Powerが負だが上昇しているときにショートポジションを開きます。EMA3がEMA34を上回り、SARがローソク足の安値の下にあり、Bulls Powerが正だが下降しているときにロングポジションを開きます。
詳細
- エントリー条件:
- ロング: EMA3がEMA34を上回り、SARがローソク足の安値を下回り、Bulls Power > 0かつ減少中。
- ショート: EMA3がEMA34を下回り、SARがローソク足の高値を上回り、Bears Power < 0かつ増加中。
- ロング/ショート: 両方。
- エグジット条件: 逆シグナルまたはストップ/テイクの発動。
- ストップ: あり、絶対的なテイクプロフィット(400ポイント)とストップロス(2000ポイント)。
- フィルター:
- 09:00から17:00の間のみ取引。
- 15分ローソク足で動作。
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>
/// Strategy combining EMA crossover, Parabolic SAR, and Bulls/Bears Power indicators.
/// </summary>
public class EmaSarBullsBearsStrategy : Strategy
{
private readonly StrategyParam<int> _shortEmaPeriod;
private readonly StrategyParam<int> _longEmaPeriod;
private readonly StrategyParam<int> _bearsBullsPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevBears;
private decimal _prevBulls;
private bool _hasPrev;
public int ShortEmaPeriod { get => _shortEmaPeriod.Value; set => _shortEmaPeriod.Value = value; }
public int LongEmaPeriod { get => _longEmaPeriod.Value; set => _longEmaPeriod.Value = value; }
public int BearsBullsPeriod { get => _bearsBullsPeriod.Value; set => _bearsBullsPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public EmaSarBullsBearsStrategy()
{
_shortEmaPeriod = Param(nameof(ShortEmaPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("Short EMA", "Short EMA period", "Indicators");
_longEmaPeriod = Param(nameof(LongEmaPeriod), 34)
.SetGreaterThanZero()
.SetDisplay("Long EMA", "Long EMA period", "Indicators");
_bearsBullsPeriod = Param(nameof(BearsBullsPeriod), 13)
.SetGreaterThanZero()
.SetDisplay("Bulls/Bears Period", "Period for Bulls and Bears Power", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle series type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevBears = 0;
_prevBulls = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var shortEma = new ExponentialMovingAverage { Length = ShortEmaPeriod };
var longEma = new ExponentialMovingAverage { Length = LongEmaPeriod };
var sar = new ParabolicSar();
var bearsPower = new BearPower { Length = BearsBullsPeriod };
var bullsPower = new BullPower { Length = BearsBullsPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(shortEma, longEma, sar, bearsPower, bullsPower, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, shortEma);
DrawIndicator(area, longEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal shortEma, decimal longEma, decimal sarValue, decimal bearsPower, decimal bullsPower)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrev)
{
_prevBears = bearsPower;
_prevBulls = bullsPower;
_hasPrev = true;
return;
}
var shortSignal = shortEma < longEma && sarValue > candle.HighPrice && bearsPower < 0m &&
bearsPower > _prevBears;
var longSignal = shortEma > longEma && sarValue < candle.LowPrice && bullsPower > 0m &&
bullsPower < _prevBulls;
if (shortSignal && Position >= 0)
SellMarket();
else if (longSignal && Position <= 0)
BuyMarket();
_prevBears = bearsPower;
_prevBulls = bullsPower;
}
}
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, ParabolicSar, BearPower, BullPower
from StockSharp.Algo.Strategies import Strategy
class ema_sar_bulls_bears_strategy(Strategy):
def __init__(self):
super(ema_sar_bulls_bears_strategy, self).__init__()
self._short_ema_period = self.Param("ShortEmaPeriod", 3) \
.SetDisplay("Short EMA", "Short EMA period", "Indicators")
self._long_ema_period = self.Param("LongEmaPeriod", 34) \
.SetDisplay("Long EMA", "Long EMA period", "Indicators")
self._bears_bulls_period = self.Param("BearsBullsPeriod", 13) \
.SetDisplay("Bulls/Bears Period", "Period for Bulls and Bears Power", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle series type", "General")
self._prev_bears = 0.0
self._prev_bulls = 0.0
self._has_prev = False
@property
def short_ema_period(self):
return self._short_ema_period.Value
@property
def long_ema_period(self):
return self._long_ema_period.Value
@property
def bears_bulls_period(self):
return self._bears_bulls_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ema_sar_bulls_bears_strategy, self).OnReseted()
self._prev_bears = 0.0
self._prev_bulls = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(ema_sar_bulls_bears_strategy, self).OnStarted2(time)
short_ema = ExponentialMovingAverage()
short_ema.Length = self.short_ema_period
long_ema = ExponentialMovingAverage()
long_ema.Length = self.long_ema_period
sar = ParabolicSar()
bears_power = BearPower()
bears_power.Length = self.bears_bulls_period
bulls_power = BullPower()
bulls_power.Length = self.bears_bulls_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(short_ema, long_ema, sar, bears_power, bulls_power, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, short_ema)
self.DrawIndicator(area, long_ema)
self.DrawOwnTrades(area)
def on_process(self, candle, short_ema, long_ema, sar_value, bears_power, bulls_power):
if candle.State != CandleStates.Finished:
return
if not self._has_prev:
self._prev_bears = bears_power
self._prev_bulls = bulls_power
self._has_prev = True
return
short_signal = (short_ema < long_ema and sar_value > candle.HighPrice and bears_power < 0 and
bears_power > self._prev_bears)
long_signal = (short_ema > long_ema and sar_value < candle.LowPrice and bulls_power > 0 and
bulls_power < self._prev_bulls)
if short_signal and self.Position >= 0:
self.SellMarket()
elif long_signal and self.Position <= 0:
self.BuyMarket()
self._prev_bears = bears_power
self._prev_bulls = bulls_power
def CreateClone(self):
return ema_sar_bulls_bears_strategy()