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MA MACD Position Averaging
该策略忠实移植自 MetaTrader 专家顾问 “MA MACD Position averaging”。它使用加权移动平均线与 MACD 比值过滤信号,并在行情对持仓不利时按设定的点数间隔执行“金字塔式”加仓。所有风险参数均以点(pip)为单位配置,并根据 StockSharp 提供的品种属性自动换算为价格偏移量。
交易逻辑
- 指标准备
- 在每根完成的 K 线上计算可配置的移动平均线(
MaPeriod、MaMethod、MaAppliedPrice)。SignalBar 与 MaShift 参数复刻了 MetaTrader 读取历史柱线和水平偏移指标的能力。
- 同时计算 MACD(
MacdFastPeriod、MacdSlowPeriod、MacdSignalPeriod、MacdAppliedPrice),并把主线与信号线值存入循环缓冲,以便随时读取历史值而无需直接访问指标接口。
- 入场条件
- 做多:MACD 主线与信号线均小于零,
MACDmain / MACDsignal 比值不低于 MacdRatio,收盘价位于移动平均线上方,并且价格与均线的距离不少于 IndentPips 点。
- 做空:MACD 两条线均大于零,比值高于
MacdRatio,收盘价低于均线且距离不少于 IndentPips 点。
- 只有在当前无持仓时才会触发新的方向性入场;一旦进入加仓循环,就只执行平均加仓规则。
- 加仓模块
- 若存在多头腿且价格自最佳(最低)买入价下跌至少
StepLossingPips 点,则按“上一腿成交量 × LotCoefficient”的手数再买入一笔(按照品种的最小交易步长向下取整)。
- 若存在空头腿且价格自最佳(最高)卖出价上升至少
StepLossingPips 点,则按相同公式追加空头。
- 如果意外出现多空同时存在的情况,策略会立即平掉所有腿以保持状态一致。
- 风控与出场
- 每条腿拥有独立的止损/止盈水平(
StopLossPips、TakeProfitPips)。在每根完成的 K 线上检测蜡烛最高价/最低价是否触及这些水平,若触及则通过市价单平仓。
- 可选的追踪止损(
TrailingStopPips、TrailingStepPips)在浮盈超过 TrailingStopPips + TrailingStepPips 点后启动,并将止损向盈利方向移动 TrailingStopPips 点;只有在价格继续前进至少 TrailingStepPips 点时才会再次移动。
- 辅助规则
- 所有下单量都会按合约的最小成交单位对齐,并限制在允许的最小/最大范围内。策略仅在
CandleStates.Finished 状态下处理数据,避免重复触发。
参数
| 参数 |
类型 |
默认值 |
说明 |
CandleType |
DataType |
TimeSpan.FromHours(1).TimeFrame() |
指标计算所用的时间框架。 |
OrderVolume |
decimal |
0.1 |
首次入场的基础手数。 |
StopLossPips |
int |
50 |
止损距离(点),0 表示禁用。 |
TakeProfitPips |
int |
50 |
止盈距离(点),0 表示禁用。 |
TrailingStopPips |
int |
5 |
追踪止损与价格之间的距离(点)。启用追踪时必须大于 0。 |
TrailingStepPips |
int |
5 |
追踪止损每次前移所需的额外利润(点)。 |
StepLossingPips |
int |
30 |
触发加仓所需的反向波动幅度(点)。 |
LotCoefficient |
decimal |
2.0 |
每次加仓的成交量系数。 |
SignalBar |
int |
0 |
指标采样向前回看的完成柱数量。 |
MaPeriod |
int |
15 |
移动平均线长度。 |
MaShift |
int |
0 |
移动平均线的水平偏移(柱数)。 |
MaMethod |
MovingAverageMethod |
Weighted |
移动平均的平滑方式(简单、指数、平滑、加权)。 |
MaAppliedPrice |
AppliedPriceType |
Weighted |
输入到移动平均线的价格类型。 |
IndentPips |
int |
4 |
入场时价格与均线的最小间隔(点)。 |
MacdFastPeriod |
int |
12 |
MACD 快速 EMA 周期。 |
MacdSlowPeriod |
int |
26 |
MACD 慢速 EMA 周期。 |
MacdSignalPeriod |
int |
9 |
MACD 信号线周期。 |
MacdAppliedPrice |
AppliedPriceType |
Weighted |
MACD 使用的价格类型。 |
MacdRatio |
decimal |
0.9 |
MACD 主线/信号线的最低允许比值。 |
点值换算
StopLossPips、TakeProfitPips、TrailingStopPips、TrailingStepPips、StepLossingPips、IndentPips 等参数会乘以品种的 PriceStep。若报价保留 3 或 5 位小数,则额外乘以 10 以匹配 MetaTrader 对“pip”的定义;若缺少步长信息,则使用 0.0001 作为默认值。
实现细节
- 由于 StockSharp 使用净持仓模式,策略在内部维护一个腿列表,每条腿都记录入场价、止损和止盈,以复现 MetaTrader 中逐单管理的行为。
- 止损/止盈通过软件模拟实现:当蜡烛触碰到相应水平时,在同一根蜡烛上用市价单平仓。
- 当
StepLossingPips 为 0 时自动停用加仓逻辑;否则新腿的手数等于上一腿手数乘以 LotCoefficient,并按交易单位向下取整。
- 追踪止损以蜡烛收盘价作为当前价格参考,只会向盈利方向移动,且必须等到收益超过
TrailingStopPips + TrailingStepPips 点才会启动。
- 指标缓冲遵循
SignalBar 与 MaShift 设置,因此决策所使用的数据与原始 MetaTrader 指标缓冲保持一致。
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>
/// MA MACD strategy using WMA crossover with SL/TP management.
/// Buys when fast WMA crosses above slow WMA, sells on reverse cross.
/// </summary>
public class MaMacdPositionAveragingStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private WeightedMovingAverage _fast;
private WeightedMovingAverage _slow;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldown;
/// <summary>
/// Fast WMA period.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow WMA period.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Stop-loss distance in price steps.
/// </summary>
public int StopLossPoints
{
get => _stopLossPoints.Value;
set => _stopLossPoints.Value = value;
}
/// <summary>
/// Take-profit distance in price steps.
/// </summary>
public int TakeProfitPoints
{
get => _takeProfitPoints.Value;
set => _takeProfitPoints.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public MaMacdPositionAveragingStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 15)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Fast WMA period", "Indicator");
_slowPeriod = Param(nameof(SlowPeriod), 100)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Slow WMA period", "Indicator");
_stopLossPoints = Param(nameof(StopLossPoints), 200)
.SetNotNegative()
.SetDisplay("Stop Loss", "Stop-loss distance in price steps", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 400)
.SetNotNegative()
.SetDisplay("Take Profit", "Take-profit distance in price steps", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
yield return (Security, TimeSpan.FromMinutes(5).TimeFrame());
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_fast = null;
_slow = null;
_prevFast = 0;
_prevSlow = 0;
_entryPrice = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fast = new WeightedMovingAverage { Length = FastPeriod };
_slow = new WeightedMovingAverage { 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;
// Check SL/TP
if (Position > 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close <= _entryPrice - StopLossPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close >= _entryPrice + TakeProfitPoints * step)
{
SellMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
else if (Position < 0 && _entryPrice > 0)
{
if (StopLossPoints > 0 && close >= _entryPrice + StopLossPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
if (TakeProfitPoints > 0 && close <= _entryPrice - TakeProfitPoints * step)
{
BuyMarket();
_entryPrice = 0;
_cooldown = 80;
_prevFast = fastValue;
_prevSlow = slowValue;
return;
}
}
// WMA crossover
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
_entryPrice = close;
_cooldown = 80;
}
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
_entryPrice = close;
_cooldown = 80;
}
_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 DataType, CandleStates
from StockSharp.Algo.Indicators import WeightedMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ma_macd_position_averaging_strategy(Strategy):
"""
WMA crossover with SL/TP in price steps.
"""
def __init__(self):
super(ma_macd_position_averaging_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 15).SetDisplay("Fast WMA", "Fast WMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 100).SetDisplay("Slow WMA", "Slow WMA period", "Indicators")
self._sl_points = self.Param("StopLossPoints", 200).SetDisplay("Stop Loss", "SL in price steps", "Risk")
self._tp_points = self.Param("TakeProfitPoints", 400).SetDisplay("Take Profit", "TP in price steps", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ma_macd_position_averaging_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(ma_macd_position_averaging_strategy, self).OnStarted2(time)
fast = WeightedMovingAverage()
fast.Length = self._fast_period.Value
slow = WeightedMovingAverage()
slow.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self._process_candle).Start()
def _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
f = float(fast_val)
s = float(slow_val)
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = f
self._prev_slow = s
return
close = float(candle.ClosePrice)
sec = self.Security
step = float(sec.PriceStep) if sec is not None and sec.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self._sl_points.Value > 0 and close <= self._entry_price - self._sl_points.Value * step:
self.SellMarket()
self._entry_price = 0
self._cooldown = 80
self._prev_fast = f
self._prev_slow = s
return
if self._tp_points.Value > 0 and close >= self._entry_price + self._tp_points.Value * step:
self.SellMarket()
self._entry_price = 0
self._cooldown = 80
self._prev_fast = f
self._prev_slow = s
return
elif self.Position < 0 and self._entry_price > 0:
if self._sl_points.Value > 0 and close >= self._entry_price + self._sl_points.Value * step:
self.BuyMarket()
self._entry_price = 0
self._cooldown = 80
self._prev_fast = f
self._prev_slow = s
return
if self._tp_points.Value > 0 and close <= self._entry_price - self._tp_points.Value * step:
self.BuyMarket()
self._entry_price = 0
self._cooldown = 80
self._prev_fast = f
self._prev_slow = s
return
if self._prev_fast <= self._prev_slow and f > s and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._entry_price = close
self._cooldown = 80
elif self._prev_fast >= self._prev_slow and f < s and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 80
self._prev_fast = f
self._prev_slow = s
def CreateClone(self):
return ma_macd_position_averaging_strategy()