Zero Lag MACD + Kijun-sen + EOM Strategy
Strategy combining Zero Lag MACD with Kijun-sen baseline and Ease of Movement filter. Uses ATR-based stop and take profit.
Details
- Entry Criteria: MACD cross with baseline and EOM filters.
- Long/Short: Both directions.
- Exit Criteria: ATR-based stop or take profit.
- Stops: Yes.
- Default Values:
FastLength= 12SlowLength= 26SignalLength= 9MacdEmaLength= 9KijunPeriod= 26EomLength= 14AtrPeriod= 14AtrMultiplier= 2.5mRiskReward= 1.2mCandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Trend
- Direction: Both
- Indicators: MACD, Donchian, EOM, ATR
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday (5m)
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy combining MACD crossover, price vs SMA baseline, and EOM filter.
/// Uses StdDev-based stops.
/// </summary>
public class ZeroLagMacdKijunSenEomStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _signalLength;
private readonly StrategyParam<decimal> _stopPct;
private readonly StrategyParam<decimal> _riskReward;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevMacd;
private decimal _prevSignalEma;
private bool _hasPrev;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public int SignalLength { get => _signalLength.Value; set => _signalLength.Value = value; }
public decimal StopPct { get => _stopPct.Value; set => _stopPct.Value = value; }
public decimal RiskReward { get => _riskReward.Value; set => _riskReward.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ZeroLagMacdKijunSenEomStrategy()
{
_fastLength = Param(nameof(FastLength), 12)
.SetGreaterThanZero()
.SetDisplay("Fast Length", "Fast EMA period", "Indicators");
_slowLength = Param(nameof(SlowLength), 26)
.SetGreaterThanZero()
.SetDisplay("Slow Length", "Slow EMA period", "Indicators");
_signalLength = Param(nameof(SignalLength), 9)
.SetGreaterThanZero()
.SetDisplay("Signal Length", "Signal smoothing", "Indicators");
_stopPct = Param(nameof(StopPct), 1.5m)
.SetGreaterThanZero()
.SetDisplay("Stop %", "Stop loss percent", "Risk");
_riskReward = Param(nameof(RiskReward), 1.5m)
.SetGreaterThanZero()
.SetDisplay("Risk/Reward", "Take profit ratio", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevMacd = 0;
_prevSignalEma = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastLength };
var slowEma = new ExponentialMovingAverage { Length = SlowLength };
var baseline = new SimpleMovingAverage { Length = 26 };
_prevMacd = 0;
_prevSignalEma = 0;
_hasPrev = false;
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fastEma, slowEma, baseline, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, baseline);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal, decimal baselineVal)
{
if (candle.State != CandleStates.Finished)
return;
// Compute MACD
var macd = fastVal - slowVal;
// EMA of MACD for signal
decimal signal;
if (!_hasPrev)
{
signal = macd;
_prevMacd = macd;
_prevSignalEma = signal;
_hasPrev = true;
return;
}
var k = 2m / (SignalLength + 1);
signal = macd * k + _prevSignalEma * (1 - k);
// MACD cross detection
var macdCrossUp = _prevMacd <= _prevSignalEma && macd > signal;
var macdCrossDown = _prevMacd >= _prevSignalEma && macd < signal;
// Entry/exit on MACD crossover
if (macdCrossUp && Position <= 0)
{
BuyMarket();
}
else if (macdCrossDown && Position >= 0)
{
SellMarket();
}
_prevMacd = macd;
_prevSignalEma = signal;
}
}
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, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class zero_lag_macd_kijun_sen_eom_strategy(Strategy):
def __init__(self):
super(zero_lag_macd_kijun_sen_eom_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 12) \
.SetDisplay("Fast Length", "Fast EMA period", "Indicators")
self._slow_length = self.Param("SlowLength", 26) \
.SetDisplay("Slow Length", "Slow EMA period", "Indicators")
self._signal_length = self.Param("SignalLength", 9) \
.SetDisplay("Signal Length", "Signal smoothing", "Indicators")
self._stop_pct = self.Param("StopPct", 1.5) \
.SetDisplay("Stop %", "Stop loss percent", "Risk")
self._risk_reward = self.Param("RiskReward", 1.5) \
.SetDisplay("Risk/Reward", "Take profit ratio", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_macd = 0.0
self._prev_signal_ema = 0.0
self._has_prev = False
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def signal_length(self):
return self._signal_length.Value
@property
def stop_pct(self):
return self._stop_pct.Value
@property
def risk_reward(self):
return self._risk_reward.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(zero_lag_macd_kijun_sen_eom_strategy, self).OnReseted()
self._prev_macd = 0.0
self._prev_signal_ema = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(zero_lag_macd_kijun_sen_eom_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_length
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_length
baseline = SimpleMovingAverage()
baseline.Length = 26
self._prev_macd = 0.0
self._prev_signal_ema = 0.0
self._has_prev = False
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, baseline, self.on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, baseline)
self.DrawOwnTrades(area)
def on_process(self, candle, fast_val, slow_val, baseline_val):
if candle.State != CandleStates.Finished:
return
macd = float(fast_val) - float(slow_val)
if not self._has_prev:
signal = macd
self._prev_macd = macd
self._prev_signal_ema = signal
self._has_prev = True
return
k = 2.0 / (self.signal_length + 1)
signal = macd * k + self._prev_signal_ema * (1.0 - k)
macd_cross_up = self._prev_macd <= self._prev_signal_ema and macd > signal
macd_cross_down = self._prev_macd >= self._prev_signal_ema and macd < signal
if macd_cross_up and self.Position <= 0:
self.BuyMarket()
elif macd_cross_down and self.Position >= 0:
self.SellMarket()
self._prev_macd = macd
self._prev_signal_ema = signal
def CreateClone(self):
return zero_lag_macd_kijun_sen_eom_strategy()