Стратегия ALMA Optimized
Стратегия сочетает среднюю ALMA, долгосрочную EMA, ADX, RSI и полосы Боллинджера. Фильтр по ATR обеспечивает достаточную волатильность. Для выхода используются ATR‑множители стоп‑лосса и тейк‑профита, а также необязательный выход по времени.
Детали
- Условия входа:
- Лонг: ATR выше порога, закрытие выше EMA и ALMA, RSI > 30, ADX > 30, цена ниже верхней полосы Боллинджера, выдержан период ожидания.
- Шорт: Цена пересекает снизу быструю EMA при выполнении волатильностного фильтра.
- Условия выхода:
- Стоп‑лосс или тейк‑профит по ATR.
- Опциональный выход по количеству баров.
- Значения по умолчанию:
- Быстрая EMA = 20.
- Период ATR = 14.
- Период EMA = 72.
- Период ADX = 10.
- Период RSI = 14.
- Задержка = 7 баров.
- Множитель Боллинджера = 3.0.
- Множитель стопа ATR = 5.0.
- Множитель цели ATR = 4.0.
- Выход по времени = 0.
- Минимальный ATR = 0.005.
- Фильтры:
- Категория: Тренд + Моментум
- Направление: Обе стороны
- Индикаторы: EMA, ALMA, ADX, RSI, ATR, Полосы Боллинджера
- Стопы: на основе ATR
- Сложность: Средняя
- Таймфрейм: Краткосрочный/среднесрочный
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Риск: Средний
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>
/// ALMA based strategy with EMA crossover.
/// Goes long when ALMA crosses above slow EMA, short when crosses below.
/// </summary>
public class AlmaOptimizedStrategy : Strategy
{
private readonly StrategyParam<int> _almaLength;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private int _barIndex;
private int _lastTradeBar;
private decimal _prevAlma;
private decimal _prevEma;
/// <summary>
/// ALMA period.
/// </summary>
public int AlmaLength
{
get => _almaLength.Value;
set => _almaLength.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type to subscribe.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="AlmaOptimizedStrategy"/>.
/// </summary>
public AlmaOptimizedStrategy()
{
_almaLength = Param(nameof(AlmaLength), 9)
.SetDisplay("ALMA Length", "ALMA period", "Indicator");
_emaLength = Param(nameof(EmaLength), 26)
.SetDisplay("EMA Length", "Slow EMA period", "Indicator");
_cooldownBars = Param(nameof(CooldownBars), 40)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_barIndex = 0;
_lastTradeBar = 0;
_prevAlma = 0;
_prevEma = 0;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var alma = new ArnaudLegouxMovingAverage { Length = AlmaLength, Offset = 0.65m, Sigma = 6 };
var ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(alma, ema, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, alma);
DrawIndicator(area, ema);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal almaValue, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
_barIndex++;
if (_prevAlma == 0 || _prevEma == 0)
{
_prevAlma = almaValue;
_prevEma = emaValue;
return;
}
var cooldownOk = _barIndex - _lastTradeBar > CooldownBars;
// ALMA crosses above EMA -> buy signal
var crossOver = _prevAlma <= _prevEma && almaValue > emaValue;
// ALMA crosses below EMA -> sell signal
var crossUnder = _prevAlma >= _prevEma && almaValue < emaValue;
if (crossOver && Position <= 0 && cooldownOk)
{
BuyMarket();
_lastTradeBar = _barIndex;
}
else if (crossUnder && Position >= 0 && cooldownOk)
{
SellMarket();
_lastTradeBar = _barIndex;
}
_prevAlma = almaValue;
_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
from StockSharp.Messages import CandleStates
from StockSharp.Algo.Indicators import ArnaudLegouxMovingAverage, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class alma_optimized_strategy(Strategy):
"""
ALMA based strategy with EMA crossover.
Goes long when ALMA crosses above slow EMA, short when crosses below.
"""
def __init__(self):
super(alma_optimized_strategy, self).__init__()
self._alma_length = self.Param("AlmaLength", 9) \
.SetDisplay("ALMA Length", "ALMA period", "Indicator")
self._ema_length = self.Param("EmaLength", 26) \
.SetDisplay("EMA Length", "Slow EMA period", "Indicator")
self._cooldown_bars = self.Param("CooldownBars", 40) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Trading")
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._bar_index = 0
self._last_trade_bar = 0
self._prev_alma = 0.0
self._prev_ema = 0.0
@property
def AlmaLength(self): return self._alma_length.Value
@AlmaLength.setter
def AlmaLength(self, v): self._alma_length.Value = v
@property
def EmaLength(self): return self._ema_length.Value
@EmaLength.setter
def EmaLength(self, v): self._ema_length.Value = v
@property
def CooldownBars(self): return self._cooldown_bars.Value
@CooldownBars.setter
def CooldownBars(self, v): self._cooldown_bars.Value = v
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, v): self._candle_type.Value = v
def OnReseted(self):
super(alma_optimized_strategy, self).OnReseted()
self._bar_index = 0
self._last_trade_bar = 0
self._prev_alma = 0.0
self._prev_ema = 0.0
def OnStarted2(self, time):
super(alma_optimized_strategy, self).OnStarted2(time)
alma = ArnaudLegouxMovingAverage()
alma.Length = self.AlmaLength
alma.Offset = 0.65
alma.Sigma = 6
ema = ExponentialMovingAverage()
ema.Length = self.EmaLength
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(alma, ema, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, alma)
self.DrawIndicator(area, ema)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, alma_value, ema_value):
if candle.State != CandleStates.Finished:
return
self._bar_index += 1
if self._prev_alma == 0 or self._prev_ema == 0:
self._prev_alma = alma_value
self._prev_ema = ema_value
return
cooldown_ok = self._bar_index - self._last_trade_bar > self.CooldownBars
cross_over = self._prev_alma <= self._prev_ema and alma_value > ema_value
cross_under = self._prev_alma >= self._prev_ema and alma_value < ema_value
if cross_over and self.Position <= 0 and cooldown_ok:
self.BuyMarket()
self._last_trade_bar = self._bar_index
elif cross_under and self.Position >= 0 and cooldown_ok:
self.SellMarket()
self._last_trade_bar = self._bar_index
self._prev_alma = alma_value
self._prev_ema = ema_value
def CreateClone(self):
"""!! REQUIRED!! Creates a new instance of the strategy."""
return alma_optimized_strategy()