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 with CCI confirmation and ATR based stop distance.
/// </summary>
public class Ma2CciEmaStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastMaPeriod;
private readonly StrategyParam<int> _slowMaPeriod;
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _riskPercent;
private readonly StrategyParam<int> _minStopPoints;
private ExponentialMovingAverage _fastMa = null!;
private ExponentialMovingAverage _slowMa = null!;
private CommodityChannelIndex _cci = null!;
private AverageTrueRange _atr = null!;
private decimal _previousFast;
private decimal _previousSlow;
private decimal _previousCci;
private bool _hasPreviousValues;
private decimal? _stopPrice;
/// <summary>
/// Candle type used to receive market data.
/// </summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastMaPeriod { get => _fastMaPeriod.Value; set => _fastMaPeriod.Value = value; }
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowMaPeriod { get => _slowMaPeriod.Value; set => _slowMaPeriod.Value = value; }
/// <summary>
/// CCI calculation period.
/// </summary>
public int CciPeriod { get => _cciPeriod.Value; set => _cciPeriod.Value = value; }
/// <summary>
/// ATR period for volatility based stops.
/// </summary>
public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
/// <summary>
/// Percentage of portfolio equity risked per trade.
/// </summary>
public decimal RiskPercent { get => _riskPercent.Value; set => _riskPercent.Value = value; }
/// <summary>
/// Minimum stop distance expressed in price steps.
/// </summary>
public int MinStopPoints { get => _minStopPoints.Value; set => _minStopPoints.Value = value; }
/// <summary>
/// Initializes a new instance of the <see cref="Ma2CciEmaStrategy"/> class.
/// </summary>
public Ma2CciEmaStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles used for calculations", "General");
_fastMaPeriod = Param(nameof(FastMaPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowMaPeriod = Param(nameof(SlowMaPeriod), 37)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_cciPeriod = Param(nameof(CciPeriod), 39)
.SetGreaterThanZero()
.SetDisplay("CCI Period", "CCI length", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "ATR length for stop calculation", "Risk Management");
_riskPercent = Param(nameof(RiskPercent), 2m)
.SetDisplay("Risk %", "Portfolio percentage risked per entry", "Risk Management");
_minStopPoints = Param(nameof(MinStopPoints), 15)
.SetGreaterThanZero()
.SetDisplay("Min Stop Points", "Minimum stop distance in price steps", "Risk Management");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_previousFast = 0m;
_previousSlow = 0m;
_previousCci = 0m;
_hasPreviousValues = false;
_stopPrice = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fastMa = new EMA { Length = FastMaPeriod };
_slowMa = new EMA { Length = SlowMaPeriod };
_cci = new CommodityChannelIndex { Length = CciPeriod };
_atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_fastMa, _slowMa, _cci, _atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _fastMa);
DrawIndicator(area, _slowMa);
DrawIndicator(area, _cci);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue, decimal cciValue, decimal atrValue)
{
// Process only finished candles to avoid intrabar noise.
if (candle.State != CandleStates.Finished)
return;
// Wait until all indicators are fully initialized before trading.
if (!_fastMa.IsFormed || !_slowMa.IsFormed || !_cci.IsFormed || !_atr.IsFormed)
return;
// removed IFOAAT for backtesting
if (!_hasPreviousValues)
{
_previousFast = fastValue;
_previousSlow = slowValue;
_previousCci = cciValue;
_hasPreviousValues = true;
return;
}
var fastCrossUp = _previousFast <= _previousSlow && fastValue > slowValue;
var fastCrossDown = _previousFast >= _previousSlow && fastValue < slowValue;
var cciCrossUp = _previousCci <= 0m && cciValue > 0m;
var cciCrossDown = _previousCci >= 0m && cciValue < 0m;
var stopDistance = Math.Max(atrValue, GetMinStopDistance());
if (Position != 0m)
{
var exitTriggered = false;
if (Position > 0m)
{
// Close long positions on stop hit or bearish crossover.
if (_stopPrice.HasValue && candle.LowPrice <= _stopPrice.Value)
{
SellMarket();
exitTriggered = true;
}
else if (fastCrossDown)
{
SellMarket();
exitTriggered = true;
}
}
else if (Position < 0m)
{
// Close short positions on stop hit or bullish crossover.
if (_stopPrice.HasValue && candle.HighPrice >= _stopPrice.Value)
{
BuyMarket();
exitTriggered = true;
}
else if (fastCrossUp)
{
BuyMarket();
exitTriggered = true;
}
}
if (exitTriggered)
{
_stopPrice = null;
_previousFast = fastValue;
_previousSlow = slowValue;
_previousCci = cciValue;
return;
}
}
else
{
// Enter long when EMA and CCI confirm bullish momentum.
if (fastCrossUp && cciCrossUp)
{
var volume = CalculateVolume(stopDistance);
if (volume > 0m)
{
BuyMarket();
_stopPrice = NormalizePrice(candle.ClosePrice - stopDistance);
}
}
// Enter short when EMA and CCI confirm bearish momentum.
else if (fastCrossDown && cciCrossDown)
{
var volume = CalculateVolume(stopDistance);
if (volume > 0m)
{
SellMarket();
_stopPrice = NormalizePrice(candle.ClosePrice + stopDistance);
}
}
}
_previousFast = fastValue;
_previousSlow = slowValue;
_previousCci = cciValue;
}
private decimal CalculateVolume(decimal stopDistance)
{
if (stopDistance <= 0m)
return 0m;
var equity = Portfolio?.CurrentValue ?? 0m;
var riskAmount = equity * (RiskPercent / 100m);
if (riskAmount <= 0m)
return NormalizeVolume(GetBaseVolume());
var rawVolume = riskAmount / stopDistance;
if (rawVolume <= 0m)
return NormalizeVolume(GetBaseVolume());
return NormalizeVolume(rawVolume);
}
private decimal GetBaseVolume()
{
var volume = Volume;
if (volume > 0m)
return volume;
var step = Security?.VolumeStep ?? 1m;
var min = Security?.MinVolume ?? step;
return min > 0m ? min : step;
}
private decimal NormalizeVolume(decimal volume)
{
var step = Security?.VolumeStep ?? 1m;
if (step <= 0m)
return Math.Max(volume, 0m);
var normalized = Math.Round(volume / step, MidpointRounding.AwayFromZero) * step;
var min = Security?.MinVolume ?? step;
if (normalized < min)
normalized = min;
var max = Security?.MaxVolume;
if (max.HasValue && max.Value > 0m && normalized > max.Value)
normalized = max.Value;
return Math.Max(normalized, 0m);
}
private decimal NormalizePrice(decimal price)
{
var step = Security?.PriceStep;
if (!step.HasValue || step.Value <= 0m)
return price;
var rounded = Math.Round(price / step.Value, MidpointRounding.AwayFromZero) * step.Value;
return rounded;
}
private decimal GetMinStopDistance()
{
var step = Security?.PriceStep ?? 0m;
return step > 0m ? step * MinStopPoints : MinStopPoints;
}
}
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, CommodityChannelIndex, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class ma2_cci_ema_strategy(Strategy):
"""
EMA crossover with CCI confirmation and ATR-based stop.
"""
def __init__(self):
super(ma2_cci_ema_strategy, self).__init__()
self._fast_period = self.Param("FastMaPeriod", 10).SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowMaPeriod", 37).SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._cci_period = self.Param("CciPeriod", 39).SetDisplay("CCI Period", "CCI length", "Indicators")
self._atr_period = self.Param("AtrPeriod", 3).SetDisplay("ATR Period", "ATR length", "Risk")
self._risk_percent = self.Param("RiskPercent", 2.0)
self._min_stop_points = self.Param("MinStopPoints", 15)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._prev_cci = 0.0
self._has_prev = False
self._stop_price = None
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(ma2_cci_ema_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._prev_cci = 0.0
self._has_prev = False
self._stop_price = None
def OnStarted2(self, time):
super(ma2_cci_ema_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self._fast_period.Value
slow = ExponentialMovingAverage()
slow.Length = self._slow_period.Value
cci = CommodityChannelIndex()
cci.Length = self._cci_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(fast, slow, cci, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _process_candle(self, candle, fast_val, slow_val, cci_val, atr_val):
if candle.State != CandleStates.Finished:
return
f = float(fast_val)
s = float(slow_val)
c = float(cci_val)
a = float(atr_val)
if not self._has_prev:
self._prev_fast = f
self._prev_slow = s
self._prev_cci = c
self._has_prev = True
return
close = float(candle.ClosePrice)
cross_up = self._prev_fast <= self._prev_slow and f > s
cross_down = self._prev_fast >= self._prev_slow and f < s
cci_up = self._prev_cci <= 0 and c > 0
cci_down = self._prev_cci >= 0 and c < 0
min_stop = self._get_min_stop_distance()
stop_dist = max(a, min_stop)
if self.Position != 0:
exit_triggered = False
if self.Position > 0:
if self._stop_price is not None and float(candle.LowPrice) <= self._stop_price:
self.SellMarket()
exit_triggered = True
elif cross_down:
self.SellMarket()
exit_triggered = True
elif self.Position < 0:
if self._stop_price is not None and float(candle.HighPrice) >= self._stop_price:
self.BuyMarket()
exit_triggered = True
elif cross_up:
self.BuyMarket()
exit_triggered = True
if exit_triggered:
self._stop_price = None
self._prev_fast = f
self._prev_slow = s
self._prev_cci = c
return
else:
if cross_up and cci_up:
self.BuyMarket()
self._stop_price = close - stop_dist
elif cross_down and cci_down:
self.SellMarket()
self._stop_price = close + stop_dist
self._prev_fast = f
self._prev_slow = s
self._prev_cci = c
def _get_min_stop_distance(self):
step = 0.0
if self.Security is not None and self.Security.PriceStep is not None:
step = float(self.Security.PriceStep)
pts = int(self._min_stop_points.Value)
return step * pts if step > 0 else float(pts)
def CreateClone(self):
return ma2_cci_ema_strategy()