ADX 平滑交叉策略
概要
该策略基于双重平滑的平均方向指数 (ADX)。通过比较平滑后的 +DI 和 -DI 线来识别趋势变化。当平滑后的 +DI 向上穿越 -DI 时开多单,反之则开空单。
工作原理
- 使用可配置周期的 ADX 指标。
- 通过 Alpha1 和 Alpha2 参数进行两次指数平滑。
- 当之前的平滑 +DI 低于平滑 -DI 且当前平滑 +DI 高于平滑 -DI 时产生买入信号。
- 当出现相反交叉时产生卖出信号。
- 可选参数允许禁用多头或空头交易,并控制是否在相反信号出现时平仓。
- 内置风险管理在点数上设置止损和止盈。
参数
| 名称 | 说明 |
|---|---|
AdxPeriod |
ADX 计算周期。 |
Alpha1 |
第一次平滑系数 (0-1)。 |
Alpha2 |
第二次平滑系数 (0-1)。 |
StopLoss |
止损点数。 |
TakeProfit |
止盈点数。 |
AllowBuy |
允许做多。 |
AllowSell |
允许做空。 |
AllowCloseBuy |
允许在卖出信号时平掉多单。 |
AllowCloseSell |
允许在买入信号时平掉空单。 |
CandleType |
指标使用的时间框架。 |
说明
- 只处理已完成的 K 线。
- 策略使用带绑定功能的高级 API。
- 止损和止盈通过
StartProtection实现。
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>
/// Smoothed EMA crossover strategy (ADX-inspired directional cross concept).
/// Buys when fast EMA crosses above slow EMA, sells when below.
/// </summary>
public class AdxSmoothedCrossStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevFast;
private decimal? _prevSlow;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public AdxSmoothedCrossStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 25)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = null;
_prevSlow = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
SubscribeCandles(CandleType)
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_prevFast is null || _prevSlow is null)
{
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
var crossUp = _prevFast <= _prevSlow && fastValue > slowValue;
var crossDown = _prevFast >= _prevSlow && fastValue < slowValue;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevFast = fastValue;
_prevSlow = slowValue;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class adx_smoothed_cross_strategy(Strategy):
def __init__(self):
super(adx_smoothed_cross_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10) \
.SetDisplay("Fast Period", "Fast EMA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 25) \
.SetDisplay("Slow Period", "Slow EMA period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_fast = None
self._prev_slow = None
@property
def FastPeriod(self):
return self._fast_period.Value
@FastPeriod.setter
def FastPeriod(self, value):
self._fast_period.Value = value
@property
def SlowPeriod(self):
return self._slow_period.Value
@SlowPeriod.setter
def SlowPeriod(self, value):
self._slow_period.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(adx_smoothed_cross_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.FastPeriod
slow = ExponentialMovingAverage()
slow.Length = self.SlowPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(fast, slow, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if self._prev_fast is None or self._prev_slow is None:
self._prev_fast = fast_val
self._prev_slow = slow_val
return
cross_up = self._prev_fast <= self._prev_slow and fast_val > slow_val
cross_down = self._prev_fast >= self._prev_slow and fast_val < slow_val
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
def OnReseted(self):
super(adx_smoothed_cross_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def CreateClone(self):
return adx_smoothed_cross_strategy()