Стратегия Adx Bollinger
Стратегия использует индикаторы ADX и полосы Боллинджера. Длинная позиция открывается, когда ADX > 25 и цена пробивает верхнюю полосу Боллинджера. Короткая — когда ADX > 25 и цена пробивает нижнюю полосу.
Тестирование показывает среднегодичную доходность около 115%. Стратегию лучше запускать на фондовом рынке.
Фильтр в виде ADX подтверждает, что пробой происходит с усилием. Торговля ведется в направлении пробоя.
Подходит для высоковолатильных условий. Стоп на базе ATR снижает риск убытков.
Подробности
- Условия входа:
- Длинная:
Close < LowerBand && ADX > 25 - Короткая:
Close > UpperBand && ADX > 25
- Длинная:
- Long/Short: Оба
- Условия выхода: возврат цены к средней полосе
- Стопы: на основе ATR через
AtrMultiplier - Параметры по умолчанию:
AdxPeriod= 14BollingerPeriod= 20BollingerDeviation= 2.0mAtrPeriod= 14AtrMultiplier= 2.0mCandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Фильтры:
- Категория: Mean reversion
- Направление: Оба
- Индикаторы: ADX, Bollinger Bands
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Среднесрочный
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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>
/// Strategy based on ADX and Bollinger Bands indicators.
/// Enters long when ADX > 25 and price breaks above upper Bollinger band
/// Enters short when ADX > 25 and price breaks below lower Bollinger band
/// </summary>
public class AdxBollingerStrategy : Strategy
{
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<DataType> _candleType;
/// <summary>
/// ADX period
/// </summary>
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
/// <summary>
/// Bollinger Bands period
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Bollinger Bands deviation
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// ATR period for stop-loss calculation
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// ATR multiplier for stop-loss
/// </summary>
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
/// <summary>
/// Candle type for strategy calculation
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor
/// </summary>
public AdxBollingerStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ADX Period", "Period for ADX indicator", "Indicators")
.SetOptimize(10, 20, 2);
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Bollinger Period", "Period for Bollinger Bands", "Indicators")
.SetOptimize(15, 30, 5);
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetGreaterThanZero()
.SetDisplay("Bollinger Deviation", "Deviation multiplier for Bollinger Bands", "Indicators")
.SetOptimize(1.5m, 2.5m, 0.5m);
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period for ATR indicator for stop-loss", "Risk Management")
.SetOptimize(10, 20, 2);
_atrMultiplier = Param(nameof(AtrMultiplier), 2.0m)
.SetGreaterThanZero()
.SetDisplay("ATR Multiplier", "Multiplier for ATR-based stop-loss", "Risk Management")
.SetOptimize(1.5m, 3.0m, 0.5m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create indicators
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
var bollinger = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation
};
var atr = new AverageTrueRange { Length = AtrPeriod };
// Subscribe to candles and bind indicators
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(adx, bollinger, atr, ProcessCandle)
.Start();
// Setup chart visualization if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollinger);
// Create a separate area for ADX
var adxArea = CreateChartArea();
if (adxArea != null)
{
DrawIndicator(adxArea, adx);
}
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue, IIndicatorValue bollingerValue, IIndicatorValue atrValue)
{
// Skip unfinished candles
if (candle.State != CandleStates.Finished)
return;
// Check if strategy is ready to trade
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Get additional values from Bollinger Bands
var bollingerValueTyped = (BollingerBandsValue)bollingerValue;
var upperBand = bollingerValueTyped.UpBand;
var lowerBand = bollingerValueTyped.LowBand;
var middleBand = (upperBand - lowerBand) / 2 + lowerBand;
// Current price (close of the candle)
var price = candle.ClosePrice;
// Stop-loss size based on ATR
var stopSize = atrValue.ToDecimal() * AtrMultiplier;
var adxValueTyped = (AverageDirectionalIndexValue)adxValue;
// Trading logic
if (adxValueTyped.MovingAverage > 25) // Strong trend
{
if (price > upperBand && Position <= 0)
{
// Buy signal: price above upper Bollinger band with strong trend
BuyMarket(Volume + Math.Abs(Position));
// Set stop-loss
var stopPrice = price - stopSize;
RegisterOrder(CreateOrder(Sides.Sell, stopPrice, Math.Abs(Position + Volume).Max(Volume)));
}
else if (price < lowerBand && Position >= 0)
{
// Sell signal: price below lower Bollinger band with strong trend
SellMarket(Volume + Math.Abs(Position));
// Set stop-loss
var stopPrice = price + stopSize;
RegisterOrder(CreateOrder(Sides.Buy, stopPrice, Math.Abs(Position + Volume).Max(Volume)));
}
}
// Exit conditions
else if (adxValueTyped.MovingAverage < 20)
{
// Trend is weakening - close any position
if (Position > 0)
SellMarket(Position);
else if (Position < 0)
BuyMarket(Math.Abs(Position));
}
// Also exit when price returns to middle band
else if (price < middleBand && Position > 0)
{
// Exit long position when price returns to middle band
SellMarket(Position);
}
else if (price > middleBand && Position < 0)
{
// Exit short position when price returns to middle band
BuyMarket(Math.Abs(Position));
}
}
}
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, Sides
from StockSharp.Algo.Indicators import AverageDirectionalIndex, BollingerBands, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class adx_bollinger_strategy(Strategy):
"""
Strategy based on ADX and Bollinger Bands indicators.
Enters long when ADX > 25 and price breaks above upper Bollinger band
Enters short when ADX > 25 and price breaks below lower Bollinger band
"""
def __init__(self):
super(adx_bollinger_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 14) \
.SetDisplay("ADX Period", "Period for ADX indicator", "Indicators")
self._bollinger_period = self.Param("BollingerPeriod", 20) \
.SetDisplay("Bollinger Period", "Period for Bollinger Bands", "Indicators")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0) \
.SetDisplay("Bollinger Deviation", "Deviation multiplier for Bollinger Bands", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "Period for ATR indicator for stop-loss", "Risk Management")
self._atr_multiplier = self.Param("AtrMultiplier", 2.0) \
.SetDisplay("ATR Multiplier", "Multiplier for ATR-based stop-loss", "Risk Management")
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Timeframe for strategy", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adx_bollinger_strategy, self).OnReseted()
def OnStarted2(self, time):
super(adx_bollinger_strategy, self).OnStarted2(time)
adx = AverageDirectionalIndex()
adx.Length = self._adx_period.Value
bollinger = BollingerBands()
bollinger.Length = self._bollinger_period.Value
bollinger.Width = self._bollinger_deviation.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(adx, bollinger, atr, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bollinger)
adx_area = self.CreateChartArea()
if adx_area is not None:
self.DrawIndicator(adx_area, adx)
self.DrawOwnTrades(area)
def ProcessCandle(self, candle, adx_value, bollinger_value, atr_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
if bollinger_value.UpBand is None or bollinger_value.LowBand is None:
return
adx_ma = adx_value.MovingAverage
if adx_ma is None:
return
adx_ma_f = float(adx_ma)
upper_band = float(bollinger_value.UpBand)
lower_band = float(bollinger_value.LowBand)
middle_band = (upper_band - lower_band) / 2.0 + lower_band
price = float(candle.ClosePrice)
stop_size = float(atr_value) * float(self._atr_multiplier.Value)
# Trading logic
if adx_ma_f > 25: # Strong trend
if price > upper_band and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
stop_price = price - stop_size
stop_vol = max(abs(self.Position + self.Volume), self.Volume)
self.RegisterOrder(self.CreateOrder(Sides.Sell, stop_price, stop_vol))
elif price < lower_band and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
stop_price = price + stop_size
stop_vol = max(abs(self.Position + self.Volume), self.Volume)
self.RegisterOrder(self.CreateOrder(Sides.Buy, stop_price, stop_vol))
elif adx_ma_f < 20:
if self.Position > 0:
self.SellMarket(self.Position)
elif self.Position < 0:
self.BuyMarket(abs(self.Position))
elif price < middle_band and self.Position > 0:
self.SellMarket(self.Position)
elif price > middle_band and self.Position < 0:
self.BuyMarket(abs(self.Position))
def CreateClone(self):
return adx_bollinger_strategy()