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>
/// EMA crossover strategy with trailing stop logic converted from the MQL5 "Intersection 2 iMA" expert advisor.
/// The strategy opens trades on moving average crossovers and maintains a stepped trailing stop.
/// </summary>
public class EmaCrossoverTrailingStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<decimal> _trailingStopPoints;
private readonly StrategyParam<decimal> _trailingStepPoints;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _tradeVolume;
private ExponentialMovingAverage _fastEma = null!;
private ExponentialMovingAverage _slowEma = null!;
private decimal? _previousFastValue;
private decimal? _previousSlowValue;
private decimal? _longStopPrice;
private decimal? _shortStopPrice;
private decimal _stopDistance;
private decimal _stepDistance;
/// <summary>
/// Initializes <see cref="EmaCrossoverTrailingStrategy"/>.
/// </summary>
public EmaCrossoverTrailingStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 4)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Period of the fast exponential moving average", "Moving Averages")
.SetOptimize(2, 20, 1);
_slowPeriod = Param(nameof(SlowPeriod), 18)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Period of the slow exponential moving average", "Moving Averages")
.SetOptimize(10, 60, 2);
_trailingStopPoints = Param(nameof(TrailingStopPoints), 20m)
.SetNotNegative()
.SetDisplay("Trailing Stop (points)", "Distance from price to trailing stop expressed in price steps", "Risk Management")
.SetOptimize(5m, 40m, 5m);
_trailingStepPoints = Param(nameof(TrailingStepPoints), 5m)
.SetNotNegative()
.SetDisplay("Trailing Step (points)", "Minimum price advancement before the trailing stop is moved", "Risk Management")
.SetOptimize(1m, 10m, 1m);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles used for calculations", "General");
_tradeVolume = Param(nameof(TradeVolume), 1m)
.SetGreaterThanZero()
.SetDisplay("Volume", "Order volume used for entries", "General");
}
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Trailing stop distance expressed in price steps.
/// </summary>
public decimal TrailingStopPoints
{
get => _trailingStopPoints.Value;
set => _trailingStopPoints.Value = value;
}
/// <summary>
/// Minimum move required before shifting the trailing stop.
/// </summary>
public decimal TrailingStepPoints
{
get => _trailingStepPoints.Value;
set => _trailingStepPoints.Value = value;
}
/// <summary>
/// Candle type used for analysis.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Volume used for market orders.
/// </summary>
public decimal TradeVolume
{
get => _tradeVolume.Value;
set => _tradeVolume.Value = value;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
Volume = TradeVolume;
_previousFastValue = null;
_previousSlowValue = null;
_longStopPrice = null;
_shortStopPrice = null;
_fastEma = null!;
_slowEma = null!;
_stopDistance = 0m;
_stepDistance = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
Volume = TradeVolume;
_fastEma = new EMA { Length = FastPeriod };
_slowEma = new EMA { Length = SlowPeriod };
_stopDistance = CalculateDistance(TrailingStopPoints);
_stepDistance = CalculateDistance(TrailingStepPoints);
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_fastEma, _slowEma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _fastEma);
DrawIndicator(area, _slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
_stopDistance = CalculateDistance(TrailingStopPoints);
_stepDistance = CalculateDistance(TrailingStepPoints);
UpdateTrailingStops(candle);
if (!_fastEma.IsFormed || !_slowEma.IsFormed)
{
_previousFastValue = fastValue;
_previousSlowValue = slowValue;
return;
}
// indicators bound via .Bind()
if (_previousFastValue is null || _previousSlowValue is null)
{
_previousFastValue = fastValue;
_previousSlowValue = slowValue;
return;
}
var fastPrev = _previousFastValue.Value;
var slowPrev = _previousSlowValue.Value;
var crossedUp = fastPrev <= slowPrev && fastValue > slowValue;
var crossedDown = fastPrev >= slowPrev && fastValue < slowValue;
if (crossedUp && Position <= 0)
{
var volumeToBuy = TradeVolume;
if (Position < 0)
volumeToBuy += Math.Abs(Position);
if (volumeToBuy > 0)
{
BuyMarket();
InitializeLongTrailing(candle.ClosePrice);
}
}
else if (crossedDown && Position >= 0)
{
var volumeToSell = TradeVolume;
if (Position > 0)
volumeToSell += Math.Abs(Position);
if (volumeToSell > 0)
{
SellMarket();
InitializeShortTrailing(candle.ClosePrice);
}
}
_previousFastValue = fastValue;
_previousSlowValue = slowValue;
}
private decimal CalculateDistance(decimal points)
{
if (points <= 0m)
return 0m;
var priceStep = Security?.PriceStep ?? 0m;
if (priceStep <= 0m)
priceStep = 1m;
return points * priceStep;
}
private void InitializeLongTrailing(decimal price)
{
if (_stopDistance <= 0m)
{
_longStopPrice = null;
return;
}
_longStopPrice = price - _stopDistance;
_shortStopPrice = null;
}
private void InitializeShortTrailing(decimal price)
{
if (_stopDistance <= 0m)
{
_shortStopPrice = null;
return;
}
_shortStopPrice = price + _stopDistance;
_longStopPrice = null;
}
private void UpdateTrailingStops(ICandleMessage candle)
{
if (_stopDistance <= 0m)
{
_longStopPrice = null;
_shortStopPrice = null;
return;
}
if (Position > 0)
{
if (_longStopPrice is null)
{
InitializeLongTrailing(candle.ClosePrice);
}
else
{
var newStop = candle.ClosePrice - _stopDistance;
if (newStop - _longStopPrice.Value >= _stepDistance)
_longStopPrice = newStop;
if (candle.LowPrice <= _longStopPrice.Value)
{
SellMarket();
_longStopPrice = null;
}
}
}
else if (Position < 0)
{
if (_shortStopPrice is null)
{
InitializeShortTrailing(candle.ClosePrice);
}
else
{
var newStop = candle.ClosePrice + _stopDistance;
if (_shortStopPrice.Value - newStop >= _stepDistance)
_shortStopPrice = newStop;
if (candle.HighPrice >= _shortStopPrice.Value)
{
BuyMarket();
_shortStopPrice = null;
}
}
}
else
{
_longStopPrice = null;
_shortStopPrice = null;
}
}
}
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.Strategies import Strategy
from StockSharp.Algo.Indicators import ExponentialMovingAverage
class ema_crossover_trailing_strategy(Strategy):
"""EMA crossover strategy with stepped trailing stop."""
def __init__(self):
super(ema_crossover_trailing_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 4) \
.SetGreaterThanZero() \
.SetDisplay("Fast EMA", "Period of the fast EMA", "Moving Averages")
self._slow_period = self.Param("SlowPeriod", 18) \
.SetGreaterThanZero() \
.SetDisplay("Slow EMA", "Period of the slow EMA", "Moving Averages")
self._trailing_stop_points = self.Param("TrailingStopPoints", 20.0) \
.SetDisplay("Trailing Stop (points)", "Distance from price to trailing stop in price steps", "Risk")
self._trailing_step_points = self.Param("TrailingStepPoints", 5.0) \
.SetDisplay("Trailing Step (points)", "Minimum advancement before moving stop", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles used", "General")
self._trade_volume = self.Param("TradeVolume", 1.0) \
.SetGreaterThanZero() \
.SetDisplay("Volume", "Order volume for entries", "General")
self._fast_ema = None
self._slow_ema = None
self._prev_fast = None
self._prev_slow = None
self._long_stop = None
self._short_stop = None
self._stop_dist = 0.0
self._step_dist = 0.0
@property
def FastPeriod(self):
return self._fast_period.Value
@property
def SlowPeriod(self):
return self._slow_period.Value
@property
def TrailingStopPoints(self):
return self._trailing_stop_points.Value
@property
def TrailingStepPoints(self):
return self._trailing_step_points.Value
@property
def CandleType(self):
return self._candle_type.Value
@property
def TradeVolume(self):
return self._trade_volume.Value
def _calc_distance(self, points):
if points <= 0:
return 0.0
sec = self.Security
step = 1.0
if sec is not None and sec.PriceStep is not None and float(sec.PriceStep) > 0:
step = float(sec.PriceStep)
return float(points) * step
def OnStarted2(self, time):
super(ema_crossover_trailing_strategy, self).OnStarted2(time)
self.Volume = self.TradeVolume
self._fast_ema = ExponentialMovingAverage()
self._fast_ema.Length = self.FastPeriod
self._slow_ema = ExponentialMovingAverage()
self._slow_ema.Length = self.SlowPeriod
self._stop_dist = self._calc_distance(self.TrailingStopPoints)
self._step_dist = self._calc_distance(self.TrailingStepPoints)
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._fast_ema, self._slow_ema, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._fast_ema)
self.DrawIndicator(area, self._slow_ema)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fv = float(fast_val)
sv = float(slow_val)
self._stop_dist = self._calc_distance(self.TrailingStopPoints)
self._step_dist = self._calc_distance(self.TrailingStepPoints)
self._update_trailing(candle)
if not self._fast_ema.IsFormed or not self._slow_ema.IsFormed:
self._prev_fast = fv
self._prev_slow = sv
return
if self._prev_fast is None or self._prev_slow is None:
self._prev_fast = fv
self._prev_slow = sv
return
crossed_up = self._prev_fast <= self._prev_slow and fv > sv
crossed_down = self._prev_fast >= self._prev_slow and fv < sv
if crossed_up and self.Position <= 0:
self.BuyMarket()
self._init_long_trailing(float(candle.ClosePrice))
elif crossed_down and self.Position >= 0:
self.SellMarket()
self._init_short_trailing(float(candle.ClosePrice))
self._prev_fast = fv
self._prev_slow = sv
def _init_long_trailing(self, price):
if self._stop_dist <= 0:
self._long_stop = None
return
self._long_stop = price - self._stop_dist
self._short_stop = None
def _init_short_trailing(self, price):
if self._stop_dist <= 0:
self._short_stop = None
return
self._short_stop = price + self._stop_dist
self._long_stop = None
def _update_trailing(self, candle):
if self._stop_dist <= 0:
self._long_stop = None
self._short_stop = None
return
close = float(candle.ClosePrice)
if self.Position > 0:
if self._long_stop is None:
self._init_long_trailing(close)
else:
new_stop = close - self._stop_dist
if new_stop - self._long_stop >= self._step_dist:
self._long_stop = new_stop
if float(candle.LowPrice) <= self._long_stop:
self.SellMarket()
self._long_stop = None
elif self.Position < 0:
if self._short_stop is None:
self._init_short_trailing(close)
else:
new_stop = close + self._stop_dist
if self._short_stop - new_stop >= self._step_dist:
self._short_stop = new_stop
if float(candle.HighPrice) >= self._short_stop:
self.BuyMarket()
self._short_stop = None
else:
self._long_stop = None
self._short_stop = None
def OnReseted(self):
super(ema_crossover_trailing_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
self._long_stop = None
self._short_stop = None
self._fast_ema = None
self._slow_ema = None
def CreateClone(self):
return ema_crossover_trailing_strategy()