using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// EMA slope + CCI filter strategy.
/// Buys when EMA slope is up and CCI is oversold.
/// Sells when EMA slope is down and CCI is overbought.
/// Exits on EMA slope reversal.
/// </summary>
public class SweetSpotExtremeStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<int> _cciPeriod;
private readonly StrategyParam<decimal> _buyCciLevel;
private readonly StrategyParam<decimal> _sellCciLevel;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevEma;
private decimal _prevPrevEma;
private bool _hasPrevEma;
public int EmaPeriod
{
get => _emaPeriod.Value;
set => _emaPeriod.Value = value;
}
public int CciPeriod
{
get => _cciPeriod.Value;
set => _cciPeriod.Value = value;
}
public decimal BuyCciLevel
{
get => _buyCciLevel.Value;
set => _buyCciLevel.Value = value;
}
public decimal SellCciLevel
{
get => _sellCciLevel.Value;
set => _sellCciLevel.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public SweetSpotExtremeStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 50)
.SetDisplay("EMA Period", "Trend EMA period", "Indicators");
_cciPeriod = Param(nameof(CciPeriod), 14)
.SetDisplay("CCI Period", "CCI lookback", "Indicators");
_buyCciLevel = Param(nameof(BuyCciLevel), -50m)
.SetDisplay("Buy CCI", "Oversold CCI level for buy", "Indicators");
_sellCciLevel = Param(nameof(SellCciLevel), 50m)
.SetDisplay("Sell CCI", "Overbought CCI level for sell", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle series", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevEma = 0m;
_prevPrevEma = 0m;
_hasPrevEma = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevEma = 0;
_prevPrevEma = 0;
_hasPrevEma = false;
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var cci = new CommodityChannelIndex { Length = CciPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ema, cci, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue, decimal cciValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hasPrevEma)
{
_prevPrevEma = emaValue;
_prevEma = emaValue;
_hasPrevEma = true;
return;
}
var slopeUp = emaValue > _prevEma && _prevEma > _prevPrevEma;
var slopeDown = emaValue < _prevEma && _prevEma < _prevPrevEma;
// Entry
if (slopeUp && cciValue <= BuyCciLevel && Position <= 0)
{
BuyMarket();
}
else if (slopeDown && cciValue >= SellCciLevel && Position >= 0)
{
SellMarket();
}
// Exit on slope reversal
else if (Position > 0 && emaValue < _prevEma)
{
SellMarket();
}
else if (Position < 0 && emaValue > _prevEma)
{
BuyMarket();
}
_prevPrevEma = _prevEma;
_prevEma = emaValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import CommodityChannelIndex, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class sweet_spot_extreme_strategy(Strategy):
"""EMA slope + CCI filter strategy. Buys when EMA slope is up and CCI is oversold.
Sells when EMA slope is down and CCI is overbought. Exits on EMA slope reversal."""
def __init__(self):
super(sweet_spot_extreme_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 50) \
.SetDisplay("EMA Period", "Trend EMA period", "Indicators")
self._cci_period = self.Param("CciPeriod", 14) \
.SetDisplay("CCI Period", "CCI lookback", "Indicators")
self._buy_cci_level = self.Param("BuyCciLevel", -50.0) \
.SetDisplay("Buy CCI", "Oversold CCI level for buy", "Indicators")
self._sell_cci_level = self.Param("SellCciLevel", 50.0) \
.SetDisplay("Sell CCI", "Overbought CCI level for sell", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle series", "General")
self._prev_ema = 0.0
self._prev_prev_ema = 0.0
self._has_prev_ema = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def EmaPeriod(self):
return self._ema_period.Value
@property
def CciPeriod(self):
return self._cci_period.Value
@property
def BuyCciLevel(self):
return self._buy_cci_level.Value
@property
def SellCciLevel(self):
return self._sell_cci_level.Value
def OnReseted(self):
super(sweet_spot_extreme_strategy, self).OnReseted()
self._prev_ema = 0.0
self._prev_prev_ema = 0.0
self._has_prev_ema = False
def OnStarted2(self, time):
super(sweet_spot_extreme_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.EmaPeriod
cci = CommodityChannelIndex()
cci.Length = self.CciPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(ema, cci, self._process_candle).Start()
def _process_candle(self, candle, ema_value, cci_value):
if candle.State != CandleStates.Finished:
return
ema_val = float(ema_value)
cci_val = float(cci_value)
if not self._has_prev_ema:
self._prev_prev_ema = ema_val
self._prev_ema = ema_val
self._has_prev_ema = True
return
slope_up = ema_val > self._prev_ema and self._prev_ema > self._prev_prev_ema
slope_down = ema_val < self._prev_ema and self._prev_ema < self._prev_prev_ema
buy_cci = float(self.BuyCciLevel)
sell_cci = float(self.SellCciLevel)
# Entry
if slope_up and cci_val <= buy_cci and self.Position <= 0:
self.BuyMarket()
elif slope_down and cci_val >= sell_cci and self.Position >= 0:
self.SellMarket()
# Exit on slope reversal
elif self.Position > 0 and ema_val < self._prev_ema:
self.SellMarket()
elif self.Position < 0 and ema_val > self._prev_ema:
self.BuyMarket()
self._prev_prev_ema = self._prev_ema
self._prev_ema = ema_val
def CreateClone(self):
return sweet_spot_extreme_strategy()