ADX趋势策略
该策略通过平均方向指数(ADX)衡量市场趋势强度。当ADX高于阈值且价格位于均线的有利一侧时顺势进场;当ADX走弱或出现反向信号时退出。止损通常基于ATR倍数,以适应不同的波动性。
测试表明年均收益约为 46%,该策略在股票市场表现最佳。
详情
- 入场条件: 基于 MA、ADX 和 ATR 的信号
- 多空方向: 双向
- 退出条件: 反向信号或止损
- 止损: 是
- 默认值:
AdxPeriod= 14MaPeriod= 50AtrMultiplier= 2mAdxExitThreshold= 20CandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类型: 趋势
- 方向: 双向
- 指标: MA, ADX, ATR
- 止损: 是
- 复杂度: 基础
- 时间框架: 日内 (5m)
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险等级: 中
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 Average Directional Index (ADX) trend.
/// While ADX is above 25 it holds a long position when the close is above the moving average and a short one when it is below.
/// The position closes when ADX falls below the exit threshold or the close crosses the ATR stop set at entry,
/// and reverses when the opposite setup appears.
/// </summary>
public class AdxTrendStrategy : Strategy
{
/// <summary>
/// ADX level above which the trend counts as established.
/// </summary>
public const decimal AdxEntryThreshold = 25m;
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<decimal> _atrMultiplier;
private readonly StrategyParam<int> _adxExitThreshold;
private readonly StrategyParam<DataType> _candleType;
private decimal _stopPrice;
/// <summary>
/// ADX period, also used for the ATR of the stop.
/// </summary>
public int AdxPeriod
{
get => _adxPeriod.Value;
set => _adxPeriod.Value = value;
}
/// <summary>
/// Moving Average period.
/// </summary>
public int MaPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Stop distance in ATR multiples, fixed at entry.
/// </summary>
public decimal AtrMultiplier
{
get => _atrMultiplier.Value;
set => _atrMultiplier.Value = value;
}
/// <summary>
/// ADX level below which the position is closed.
/// </summary>
public int AdxExitThreshold
{
get => _adxExitThreshold.Value;
set => _adxExitThreshold.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize the ADX Trend strategy.
/// </summary>
public AdxTrendStrategy()
{
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ADX Period", "Period for the ADX and the ATR of the stop", "Indicators")
.SetOptimize(10, 30, 2);
_maPeriod = Param(nameof(MaPeriod), 50)
.SetGreaterThanZero()
.SetDisplay("MA Period", "Period for calculating Moving Average", "Indicators")
.SetOptimize(20, 100, 10);
_atrMultiplier = Param(nameof(AtrMultiplier), 2m)
.SetGreaterThanZero()
.SetDisplay("ATR Multiplier", "Stop distance in entry ATR multiples", "Risk parameters")
.SetOptimize(1, 3, 0.5m);
_adxExitThreshold = Param(nameof(AdxExitThreshold), 20)
.SetRange(0, 100)
.SetDisplay("ADX Exit Threshold", "ADX level below which to exit position", "Exit parameters")
.SetOptimize(15, 25, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_stopPrice = 0m;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
var atr = new AverageTrueRange { Length = AdxPeriod };
var ma = new SMA { Length = MaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(adx, atr, ma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, adx);
DrawIndicator(area, ma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue adxValue, IIndicatorValue atrValue, IIndicatorValue maValue)
{
if (candle.State != CandleStates.Finished || !adxValue.IsFormed || !atrValue.IsFormed || !maValue.IsFormed)
return;
if (adxValue is not AverageDirectionalIndexValue { MovingAverage: decimal adx })
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
var ma = maValue.GetValue<decimal>();
var atr = atrValue.GetValue<decimal>();
var trending = adx > AdxEntryThreshold;
var longSetup = trending && close > ma;
var shortSetup = trending && close < ma;
if (Position > 0)
{
if (shortSetup)
{
SellMarket(Volume + Position);
_stopPrice = close + AtrMultiplier * atr;
}
else if (adx < AdxExitThreshold || close <= _stopPrice)
{
SellMarket(Position);
_stopPrice = 0m;
}
}
else if (Position < 0)
{
if (longSetup)
{
BuyMarket(Volume - Position);
_stopPrice = close - AtrMultiplier * atr;
}
else if (adx < AdxExitThreshold || close >= _stopPrice)
{
BuyMarket(-Position);
_stopPrice = 0m;
}
}
else if (longSetup)
{
BuyMarket(Volume);
_stopPrice = close - AtrMultiplier * atr;
}
else if (shortSetup)
{
SellMarket(Volume);
_stopPrice = close + AtrMultiplier * atr;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import AverageDirectionalIndex, AverageTrueRange, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
# ADX level above which the trend counts as established.
ADX_ENTRY_THRESHOLD = Decimal(25)
class adx_trend_strategy(Strategy):
"""
Strategy based on Average Directional Index (ADX) trend.
While ADX is above 25 it holds a long position when the close is above the moving average and a short one when it is below.
The position closes when ADX falls below the exit threshold or the close crosses the ATR stop set at entry,
and reverses when the opposite setup appears.
"""
def __init__(self):
super(adx_trend_strategy, self).__init__()
self._adx_period = self.Param("AdxPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("ADX Period", "Period for the ADX and the ATR of the stop", "Indicators") \
.SetOptimize(10, 30, 2)
self._ma_period = self.Param("MaPeriod", 50) \
.SetGreaterThanZero() \
.SetDisplay("MA Period", "Period for calculating Moving Average", "Indicators") \
.SetOptimize(20, 100, 10)
self._atr_multiplier = self.Param("AtrMultiplier", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("ATR Multiplier", "Stop distance in entry ATR multiples", "Risk parameters") \
.SetOptimize(1.0, 3.0, 0.5)
self._adx_exit_threshold = self.Param("AdxExitThreshold", 20) \
.SetRange(0, 100) \
.SetDisplay("ADX Exit Threshold", "ADX level below which to exit position", "Exit parameters") \
.SetOptimize(15, 25, 1)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._stop_price = Decimal(0)
def OnReseted(self):
super(adx_trend_strategy, self).OnReseted()
self._stop_price = Decimal(0)
def OnStarted2(self, time):
super(adx_trend_strategy, self).OnStarted2(time)
adx = AverageDirectionalIndex()
adx.Length = self._adx_period.Value
atr = AverageTrueRange()
atr.Length = self._adx_period.Value
ma = SimpleMovingAverage()
ma.Length = self._ma_period.Value
subscription = self.SubscribeCandles(self._candle_type.Value)
subscription.BindEx(adx, atr, ma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, adx)
self.DrawIndicator(area, ma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, adx_value, atr_value, ma_value):
if candle.State != CandleStates.Finished or not adx_value.IsFormed or not atr_value.IsFormed or not ma_value.IsFormed:
return
if adx_value.MovingAverage is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
adx = adx_value.MovingAverage
close = candle.ClosePrice
ma = ma_value.GetValue[Decimal](None)
atr = atr_value.GetValue[Decimal](None)
offset = Decimal(self._atr_multiplier.Value) * atr
exit_level = Decimal(self._adx_exit_threshold.Value)
trending = adx > ADX_ENTRY_THRESHOLD
long_setup = trending and close > ma
short_setup = trending and close < ma
position = self.Position
if position > 0:
if short_setup:
self.SellMarket(self.Volume + position)
self._stop_price = close + offset
elif adx < exit_level or close <= self._stop_price:
self.SellMarket(position)
self._stop_price = Decimal(0)
elif position < 0:
if long_setup:
self.BuyMarket(self.Volume - position)
self._stop_price = close - offset
elif adx < exit_level or close >= self._stop_price:
self.BuyMarket(-position)
self._stop_price = Decimal(0)
elif long_setup:
self.BuyMarket(self.Volume)
self._stop_price = close - offset
elif short_setup:
self.SellMarket(self.Volume)
self._stop_price = close + offset
def CreateClone(self):
return adx_trend_strategy()