MACD EMA SAR Bollinger BullBear 策略
结合 MACD、EMA 交叉、Parabolic SAR、布林带以及 Bulls/Bears Power 指标,仅在活跃时段进行交易。
细节
- 入场条件:
- 多头:MACD < Signal,前两个最高价低于上轨,EMA3 > EMA34,SAR 在价格下方,Bulls Power > 0 且下降。
- 空头:MACD > Signal,EMA3 < EMA34,SAR 在价格上方,Bears Power < 0 且上升。
- 多空方向:双向。
- 出场条件:
- 无固定退出规则;遇到相反信号时平仓。
- 止损:无。
- 默认值:
MACD Fast= 12MACD Slow= 26MACD Signal= 9Fast EMA Period= 3Slow EMA Period= 34Power Period= 13SAR Step= 0.02SAR Max= 0.2Bollinger Period= 20Bollinger Deviation= 2.0Candle Type= 15 分钟Session Start= 09:00Session End= 17:00
- 筛选:
- 类别: Trend Following
- 方向: 双向
- 指标: 多个
- 止损: 无
- 复杂度: 中等
- 时间框架: 日内
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险等级: 中等
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 based on MACD histogram, EMA crossover and Parabolic SAR confirmation.
/// Buys when MACD histogram positive, fast EMA above slow EMA, SAR below price.
/// Sells on opposite conditions.
/// </summary>
public class MacdEmaSarBollingerBullBearStrategy : Strategy
{
private readonly StrategyParam<int> _fastMaPeriod;
private readonly StrategyParam<int> _slowMaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastMaPeriod { get => _fastMaPeriod.Value; set => _fastMaPeriod.Value = value; }
public int SlowMaPeriod { get => _slowMaPeriod.Value; set => _slowMaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MacdEmaSarBollingerBullBearStrategy()
{
_fastMaPeriod = Param(nameof(FastMaPeriod), 8)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowMaPeriod = Param(nameof(SlowMaPeriod), 21)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastMaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowMaPeriod };
var sar = new ParabolicSar();
var macd = new MovingAverageConvergenceDivergence();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, sar, macd, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow, decimal sarVal, decimal macdVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrev)
{
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
return;
}
var close = candle.ClosePrice;
// Buy: EMA crossover up + SAR below
var buySignal = _prevFast <= _prevSlow && fast > slow &&
sarVal < close;
// Sell: EMA crossover down + SAR above
var sellSignal = _prevFast >= _prevSlow && fast < slow &&
sarVal > close;
if (buySignal)
{
if (Position < 0)
BuyMarket();
if (Position <= 0)
BuyMarket();
}
else if (sellSignal)
{
if (Position > 0)
SellMarket();
if (Position >= 0)
SellMarket();
}
_prevFast = fast;
_prevSlow = slow;
}
}
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, MovingAverageConvergenceDivergence, ParabolicSar
from StockSharp.Algo.Strategies import Strategy
class macd_ema_sar_bollinger_bull_bear_strategy(Strategy):
def __init__(self):
super(macd_ema_sar_bollinger_bull_bear_strategy, self).__init__()
self._fast_ma_period = self.Param("FastMaPeriod", 8) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ma_period = self.Param("SlowMaPeriod", 21) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_ma_period(self):
return self._fast_ma_period.Value
@property
def slow_ma_period(self):
return self._slow_ma_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(macd_ema_sar_bollinger_bull_bear_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(macd_ema_sar_bollinger_bull_bear_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_ma_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_ma_period
sar = ParabolicSar()
macd = MovingAverageConvergenceDivergence()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, sar, macd, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def on_process(self, candle, fast, slow, sar_val, macd_val):
if candle.State != CandleStates.Finished:
return
if not self._has_prev:
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
return
close = candle.ClosePrice
# Buy: EMA crossover up + SAR below
buy_signal = (self._prev_fast <= self._prev_slow and fast > slow and
sar_val < close)
# Sell: EMA crossover down + SAR above
sell_signal = (self._prev_fast >= self._prev_slow and fast < slow and
sar_val > close)
if buy_signal:
if self.Position < 0:
self.BuyMarket()
if self.Position <= 0:
self.BuyMarket()
elif sell_signal:
if self.Position > 0:
self.SellMarket()
if self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return macd_ema_sar_bollinger_bull_bear_strategy()