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>
/// MACD-based strategy adapted from Yury Reshetov's MACDSimple expert advisor.
/// </summary>
public class MacdSimpleReshetovStrategy : Strategy
{
private readonly StrategyParam<int> _df;
private readonly StrategyParam<int> _ds;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<DataType> _candleType;
private MovingAverageConvergenceDivergenceSignal _macd;
public int Df { get => _df.Value; set => _df.Value = value; }
public int Ds { get => _ds.Value; set => _ds.Value = value; }
public int SignalPeriod { get => _signalPeriod.Value; set => _signalPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MacdSimpleReshetovStrategy()
{
_df = Param(nameof(Df), 1)
.SetNotNegative()
.SetDisplay("DF", "Offset for the fast EMA", "Indicators");
_ds = Param(nameof(Ds), 2)
.SetNotNegative()
.SetDisplay("DS", "Offset for the slow EMA", "Indicators");
_signalPeriod = Param(nameof(SignalPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Signal Period", "Signal line 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()
{
return [(Security, CandleType)];
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// The MQL version derives MACD periods from the signal period with DF and DS offsets.
var fastPeriod = SignalPeriod + Df;
var slowPeriod = SignalPeriod + Ds + Df;
_macd = new MovingAverageConvergenceDivergenceSignal
{
Macd = { ShortMa = { Length = fastPeriod }, LongMa = { Length = slowPeriod } },
SignalMa = { Length = SignalPeriod }
};
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var result = _macd.Process(candle);
if (!_macd.IsFormed)
return;
var macdValue = result as MovingAverageConvergenceDivergenceSignalValue;
if (macdValue == null)
return;
var macdLine = macdValue.Macd ?? 0m;
var signalLine = macdValue.Signal ?? 0m;
// Manage existing positions before evaluating new signals.
if (Position > 0)
{
if (macdLine < 0m)
SellMarket(Position);
return;
}
if (Position < 0)
{
if (macdLine > 0m)
BuyMarket(-Position);
return;
}
// Enter only when MACD and signal lines share the same sign.
if (macdLine * signalLine <= 0m)
return;
if (macdLine > 0m && macdLine > signalLine)
{
BuyMarket(Volume);
}
else if (macdLine < 0m && macdLine < signalLine)
{
SellMarket(Volume);
}
}
}
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 MovingAverageConvergenceDivergenceSignal, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class macd_simple_reshetov_strategy(Strategy):
def __init__(self):
super(macd_simple_reshetov_strategy, self).__init__()
self._df = self.Param("Df", 1)
self._ds = self.Param("Ds", 2)
self._signal_period = self.Param("SignalPeriod", 10)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4)))
self._macd = None
@property
def Df(self):
return self._df.Value
@property
def Ds(self):
return self._ds.Value
@property
def SignalPeriod(self):
return self._signal_period.Value
@property
def CandleType(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(macd_simple_reshetov_strategy, self).OnStarted2(time)
fast_period = self.SignalPeriod + self.Df
slow_period = self.SignalPeriod + self.Ds + self.Df
self._macd = MovingAverageConvergenceDivergenceSignal()
self._macd.Macd.ShortMa.Length = fast_period
self._macd.Macd.LongMa.Length = slow_period
self._macd.SignalMa.Length = self.SignalPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._process_candle).Start()
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
civ = CandleIndicatorValue(self._macd, candle)
civ.IsFinal = True
result = self._macd.Process(civ)
if not self._macd.IsFormed:
return
try:
macd_line = float(result.Macd) if result.Macd is not None else 0.0
signal_line = float(result.Signal) if result.Signal is not None else 0.0
except:
return
pos = float(self.Position)
if pos > 0:
if macd_line < 0:
self.SellMarket(pos)
return
if pos < 0:
if macd_line > 0:
self.BuyMarket(abs(pos))
return
if macd_line * signal_line <= 0:
return
if macd_line > 0 and macd_line > signal_line:
self.BuyMarket(float(self.Volume))
elif macd_line < 0 and macd_line < signal_line:
self.SellMarket(float(self.Volume))
def OnReseted(self):
super(macd_simple_reshetov_strategy, self).OnReseted()
self._macd = None
def CreateClone(self):
return macd_simple_reshetov_strategy()