Strategy based on the MACD indicator that supports four different entry modes:
Breakdown: open trades when MACD crosses the zero line.
MacdTwist: react to a change in MACD direction from falling to rising or vice versa.
SignalTwist: use turning points of the signal line as triggers.
MacdDisposition: trade on crossovers between MACD and its signal line.
The strategy subscribes to 4-hour candles and calculates a classic MACD (EMA 12/26 with a 9-period signal). It can both open and close positions on opposite signals. Risk is managed through optional stop loss and take profit expressed as percentages of the entry price.
Details
Entry Criteria: MACD-based signals depending on selected mode.
Long/Short: Both directions.
Exit Criteria: Opposite signal or stop.
Stops: Yes.
Default Values:
FastEmaPeriod = 12
SlowEmaPeriod = 26
SignalPeriod = 9
CandleType = TimeSpan.FromHours(4)
Mode = MacdDisposition
StopLossPercent = 2m
TakeProfitPercent = 4m
Filters:
Category: Trend
Direction: Both
Indicators: MACD
Stops: Yes
Complexity: Intermediate
Timeframe: Swing (4h)
Seasonality: No
Neural Networks: No
Divergence: No
Risk Level: Medium
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>
/// EMA crossover strategy (MACD-style).
/// </summary>
public class XmacdModesStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public XmacdModesStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 12)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 26)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "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 fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
SubscribeCandles(CandleType)
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fastVal;
_prevSlow = slowVal;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevFast = fastVal;
_prevSlow = slowVal;
}
}