Der Average Directional Index misst die Trendstärke. Wenn der ADX zu sinken beginnt, signalisiert dies oft, dass die aktuelle Bewegung an Schwung verliert. Dieses System handelt gegen diesen sich abschwächenden Trend, wenn der Preis auf der entgegengesetzten Seite eines einfachen gleitenden Durchschnitts liegt.
Tests zeigen eine durchschnittliche Jahresrendite von etwa 136%. Am besten funktioniert die Strategie am Aktienmarkt.
Für jeden Balken berechnet die Strategie ADX und eine MA. Wenn ADX im Vergleich zum vorherigen Wert sinkt und der Preis über der MA liegt, wird ein Long-Einstieg gesetzt. Fällt ADX, während der Preis unter der MA liegt, wird Short gegangen. Ein fester Stop-Loss schützt die Position.
Da der Ansatz eine Verlangsamung und keine vollständige Umkehr erwartet, werden Trades in der Regel nur gehalten, bis ADX wieder zu steigen beginnt oder der Stop erreicht wird.
Details
Einstiegskriterien: ADX niedriger als der vorherige Wert und Preis relativ zur MA.
Long/Short: Beide.
Ausstiegskriterien: Stop-Loss.
Stops: Ja, prozentbasiert.
Standardwerte:
AdxPeriod = 14
MaPeriod = 20
StopLoss = 2%
CandleType = 15 minute
Filter:
Kategorie: Trendfolge
Richtung: Beide
Indikatoren: ADX, MA
Stops: Ja
Komplexität: Grundlegend
Zeitrahmen: Intraday
Saisonalität: Nein
Neuronale Netze: Nein
Divergenz: Nein
Risikolevel: Mittel
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>
/// ADX Weakening strategy.
/// Enters when ADX is decreasing (trend weakening) using price vs SMA for direction.
/// ADX weakening + price above SMA = buy (reversal up expected).
/// ADX weakening + price below SMA = sell (reversal down expected).
/// Exits on SMA cross.
/// </summary>
public class AdxWeakeningStrategy : Strategy
{
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevAdx;
private int _cooldown;
/// <summary>
/// ADX period.
/// </summary>
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
/// <summary>
/// MA Period.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public AdxWeakeningStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetRange(7, 28)
.SetDisplay("ADX Period", "Period for ADX", "Indicators");
_maPeriod = Param(nameof(MAPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for SMA", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevAdx = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevAdx = 0;
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MAPeriod };
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(sma, adx, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawIndicator(area, adx);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue smaIv, IIndicatorValue adxIv)
{
if (candle.State != CandleStates.Finished)
return;
if (!adxIv.IsFormed || !smaIv.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var smaValue = smaIv.ToDecimal();
var adxTyped = (AverageDirectionalIndexValue)adxIv;
if (adxTyped.MovingAverage is not decimal adxValue)
return;
if (_prevAdx == 0)
{
_prevAdx = adxValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevAdx = adxValue;
return;
}
var isWeakening = adxValue < _prevAdx;
if (Position == 0 && isWeakening && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && isWeakening && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevAdx = adxValue;
}
}
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 SimpleMovingAverage, AverageDirectionalIndex
from StockSharp.Algo.Strategies import Strategy
class adx_weakening_strategy(Strategy):
"""
ADX Weakening strategy.
Enters when ADX is decreasing (trend weakening) using price vs SMA for direction.
ADX weakening + price above SMA = buy.
ADX weakening + price below SMA = sell.
Exits on SMA cross.
"""
def __init__(self):
super(adx_weakening_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 14).SetDisplay("ADX Period", "Period for ADX", "Indicators")
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for SMA", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_adx = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(adx_weakening_strategy, self).OnReseted()
self._prev_adx = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(adx_weakening_strategy, self).OnStarted2(time)
self._prev_adx = 0.0
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
adx = AverageDirectionalIndex()
adx.Length = self._adx_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(sma, adx, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawIndicator(area, adx)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_iv, adx_iv):
if candle.State != CandleStates.Finished:
return
if not adx_iv.IsFormed or not sma_iv.IsFormed:
return
sma_value = float(sma_iv.Value)
adx_ma = adx_iv.MovingAverage
if adx_ma is None:
return
adx_value = float(adx_ma)
if self._prev_adx == 0:
self._prev_adx = adx_value
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_adx = adx_value
return
is_weakening = adx_value < self._prev_adx
close = float(candle.ClosePrice)
cd = self._cooldown_bars.Value
if self.Position == 0 and is_weakening and close > sma_value:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and is_weakening and close < sma_value:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close < sma_value:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close > sma_value:
self.BuyMarket()
self._cooldown = cd
self._prev_adx = adx_value
def CreateClone(self):
return adx_weakening_strategy()