ADX MACD Deev 策略
概述
ADX MACD Deev Strategy 是原版 MetaTrader 智能交易系统的 StockSharp 版本。它通过 Average Directional Index (ADX) 衡量趋势强度,并结合 Moving Average Convergence Divergence (MACD) 的动量信号。当两个指标同时确认方向时才开仓,并可选用移动止损和分批止盈来保护利润。
工作原理
- 指标准备
- ADX 使用可配置的周期计算,策略保存最近的 ADX 数值,并要求在指定的条数内持续上升(做多)或持续下降(做空)。
- MACD 使用可配置的快慢 EMA 和信号线。只有当 MACD 柱状图与信号线在指定的条数内同步移动时才认为出现有效趋势。
- 入场逻辑
- 做多:MACD 柱状图大于
MACD Minimum (pips)阈值,柱状图与信号线连续上升,同时 ADX 高于最小值并继续上升。 - 做空:MACD 柱状图低于负阈值,柱状图与信号线连续下降,同时 ADX 高于最小值并持续下降。
- 策略一次仅持有一笔仓位。
- 做多:MACD 柱状图大于
- 风险管理
- 初始止损与止盈使用
PriceStep换算成价格差距,距离由参数中的 pips 指定。 - 启用移动止损后,当价格推进
Trailing Stop + Trailing Steppips 时,止损会向盈利方向移动。 - 开启
Take Half Profit后,在触发止盈价位时会平掉当前仓位的一半,剩余部分继续由移动止损管理。
- 初始止损与止盈使用
参数
| 分组 | 名称 | 说明 |
|---|---|---|
| Trading | Order Volume | 每次市价单的交易量。 |
| Risk | Stop Loss (pips) | 初始止损距离。 |
| Risk | Take Profit (pips) | 初始止盈距离。 |
| Risk | Trailing Stop (pips) | 移动止损距离,为 0 时禁用。 |
| Risk | Trailing Step (pips) | 每次调整移动止损前需要的额外价格变化。 |
| Risk | Take Half Profit | 是否在止盈时分批平仓。 |
| Indicators | ADX Period | ADX 平滑周期。 |
| Indicators | ADX Bars Interval | 要求 ADX 同方向变化的最近条数。 |
| Indicators | ADX Minimum | 允许入场的最低 ADX 值。 |
| Indicators | MACD Fast EMA | MACD 快速 EMA 周期。 |
| Indicators | MACD Slow EMA | MACD 慢速 EMA 周期。 |
| Indicators | MACD Signal EMA | MACD 信号线周期。 |
| Indicators | MACD Bars Interval | MACD 需要连续同向的条数。 |
| Indicators | MACD Minimum (pips) | MACD 最小强度,按 pips 表示。 |
| General | Candle Type | 用于计算的 K 线类型或周期。 |
使用提示
- 请确保标的的
PriceStep不为零,否则基于 pips 的阈值会退化为直接比较原始 MACD 数值。 - 分批止盈时的数量会根据
VolumeStep进行向下取整。 - 移动止损仅在 K 线收盘后评估。
- 策略使用高层 API 绑定 (
SubscribeCandles().BindEx(...)),无需手动获取指标缓存。
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;
public class AdxMacdDeevStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private ExponentialMovingAverage _fast;
private ExponentialMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StopLossPoints { get => _stopLossPoints.Value; set => _stopLossPoints.Value = value; }
public int TakeProfitPoints { get => _takeProfitPoints.Value; set => _takeProfitPoints.Value = value; }
public AdxMacdDeevStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 12).SetGreaterThanZero().SetDisplay("Fast Period", "Fast EMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 50).SetGreaterThanZero().SetDisplay("Slow Period", "Slow EMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit in price steps", "Risk");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnReseted()
{
base.OnReseted();
_fast = null; _slow = null;
_prevFast = 0; _prevSlow = 0; _entryPrice = 0; _cooldown = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new ExponentialMovingAverage { Length = FastPeriod };
_slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(TimeSpan.FromMinutes(5).TimeFrame());
subscription.Bind(_fast, _slow, ProcessCandle);
subscription.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (!_fast.IsFormed || !_slow.IsFormed) { _prevFast = fastValue; _prevSlow = slowValue; return; }
if (_cooldown > 0) { _cooldown--; _prevFast = fastValue; _prevSlow = slowValue; return; }
var close = candle.ClosePrice;
var step = Security?.PriceStep ?? 1m;
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step) { SellMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step) { BuyMarket(); _entryPrice = 0; _cooldown = 100; _prevFast = fastValue; _prevSlow = slowValue; return; }
}
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{ if (Position < 0) BuyMarket(); BuyMarket(); _entryPrice = close; _cooldown = 100; }
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{ if (Position > 0) SellMarket(); SellMarket(); _entryPrice = close; _cooldown = 100; }
_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
from StockSharp.Messages import CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class adx_macd_deev_strategy(Strategy):
"""
ADX MACD Deev: dual EMA crossover with stop-loss/take-profit in price steps.
"""
def __init__(self):
super(adx_macd_deev_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 12) \
.SetGreaterThanZero() \
.SetDisplay("Fast Period", "Fast EMA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 50) \
.SetGreaterThanZero() \
.SetDisplay("Slow Period", "Slow EMA period", "Indicator")
self._stop_loss_points = self.Param("StopLossPoints", 200) \
.SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400) \
.SetDisplay("Take Profit", "Take-profit in price steps", "Risk")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@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 StopLossPoints(self):
return self._stop_loss_points.Value
@StopLossPoints.setter
def StopLossPoints(self, value):
self._stop_loss_points.Value = value
@property
def TakeProfitPoints(self):
return self._take_profit_points.Value
@TakeProfitPoints.setter
def TakeProfitPoints(self, value):
self._take_profit_points.Value = value
def OnReseted(self):
super(adx_macd_deev_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(adx_macd_deev_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.FastPeriod
slow = ExponentialMovingAverage()
slow.Length = self.SlowPeriod
subscription = self.SubscribeCandles(tf(5))
subscription.Bind(fast, slow, self.ProcessCandle).Start()
def ProcessCandle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast_value
self._prev_slow = slow_value
return
close = float(candle.ClosePrice)
step = 1.0
if self.Position > 0 and self._entry_price > 0:
if self.StopLossPoints > 0 and close <= self._entry_price - self.StopLossPoints * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_value
self._prev_slow = slow_value
return
if self.TakeProfitPoints > 0 and close >= self._entry_price + self.TakeProfitPoints * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_value
self._prev_slow = slow_value
return
elif self.Position < 0 and self._entry_price > 0:
if self.StopLossPoints > 0 and close >= self._entry_price + self.StopLossPoints * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_value
self._prev_slow = slow_value
return
if self.TakeProfitPoints > 0 and close <= self._entry_price - self.TakeProfitPoints * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast_value
self._prev_slow = slow_value
return
if self._prev_fast <= self._prev_slow and fast_value > slow_value and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 100
elif self._prev_fast >= self._prev_slow and fast_value < slow_value and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast_value
self._prev_slow = slow_value
def CreateClone(self):
"""!! REQUIRED!! Creates a new instance of the strategy."""
return adx_macd_deev_strategy()