MACD 1 MIN SCALPER 策略
该策略是 MetaTrader 专家顾问 “MACD 1 MIN SCALPER” 的 C# 移植版本。它在进场前联合使用加权移动平均线、多周期 MACD 过滤以及动量强度检测,目的是当多个周期的趋势一致并且价格动能充足时顺势交易。
交易逻辑
- 基础周期 – 可配置,默认 M1。利用两个周期分别为 50 与 200 的加权移动平均线(WMA),按典型价
(高+低+收)/3计算,用于判定短期趋势。 - 高周期趋势过滤 – 在 H1 周期上计算相同参数的 WMA。做多需要两个高周期 WMA 均在慢线之上,做空则需要位于下方。如果工作周期已是 H1,则直接复用基础 WMA。
- MACD 确认 – MACD(12,26,9) 的主线必须同时在基础周期、H1 周期以及约 43200 分钟的月度周期上位于信号线之上才允许做多。做空则要求三组 MACD 均位于信号线下方。
- 动量过滤 – 动量指标周期为 14,运行在根据 MetaTrader 规则推导的更高周期上(例如 M1→M15,M5→M30 等)。最近三个已完成柱中至少有一个的动量绝对偏离 100 的数值需大于设定阈值。
- 入场规则 – 当所有做多条件满足且当前没有多头敞口时买入。做空采用镜像条件。若存在反向持仓,订单数量会自动包含平仓所需的手数。
- 风险控制 – 可选的止损/止盈距离以点数(pip)表示,在启动时转换为交易品种的最小价格波动单位。原始脚本中的移动止损、保本与资金管理模块在该高阶版本中未实现。
参数说明
| 参数 | 说明 |
|---|---|
CandleType |
基础指标所使用的周期。 |
OrderVolume |
每次市价单使用的手数,同时用于反向翻仓。 |
FastMaPeriod / SlowMaPeriod |
快慢加权移动平均的长度。 |
MacdFastPeriod / MacdSlowPeriod / MacdSignalPeriod |
MACD 的快速、慢速与信号 EMA 周期。 |
MomentumPeriod |
动量指标的周期。 |
MomentumThreshold |
动量绝对偏离 100 的最小阈值。 |
TakeProfitPips / StopLossPips |
可选的止盈 / 止损距离(点数)。 |
实现细节
- 策略完全依赖 StockSharp 的高级蜡烛订阅(
SubscribeCandles)与指标绑定(Bind/BindEx),不手动保存历史或自行计算指标。 - 动量使用的周期来源于 MetaTrader 常见周期序列
[1,5,15,30,60,240,1440,10080,43200]。若基础周期不在列表中,则退回为原周期的四倍。 - 仅当止损或止盈大于零时才会启动
StartProtection。当前版本不包含移动止损实现。 - 为了便于调试,默认会在图表上绘制基础蜡烛、两条 WMA 以及 MACD。
使用建议
- 根据交易品种的最小交易单位设置
OrderVolume。策略会自动将下单手数调整到合规的步长范围内。 - 确保数据源提供 H1 与月度蜡烛,否则由于缺少确认信号策略不会开仓。
MomentumThreshold越高,需要的动量越强,信号越少;阈值越低则更频繁地产生交易。
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 Macd1MinScalperStrategy : 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 Macd1MinScalperStrategy()
{
_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 DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class macd_1_min_scalper_strategy(Strategy):
def __init__(self):
super(macd_1_min_scalper_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).SetNotNegative().SetDisplay("Stop Loss", "Stop-loss in price steps", "Risk")
self._take_profit_points = self.Param("TakeProfitPoints", 400).SetNotNegative().SetDisplay("Take Profit", "Take-profit 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(macd_1_min_scalper_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(macd_1_min_scalper_strategy, self).OnStarted2(time)
self._fast_ind = ExponentialMovingAverage()
self._fast_ind.Length = self._fast_period.Value
self._slow_ind = ExponentialMovingAverage()
self._slow_ind.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast_ind, self._slow_ind, self._process_candle).Start()
def _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
if not self._fast_ind.IsFormed or not self._slow_ind.IsFormed:
self._prev_fast = fast
self._prev_slow = slow
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_fast = fast
self._prev_slow = slow
return
close = float(candle.ClosePrice)
step = float(self.Security.PriceStep) if self.Security is not None and self.Security.PriceStep is not None else 1.0
if self.Position > 0 and self._entry_price > 0:
if self._stop_loss_points.Value > 0 and close <= self._entry_price - self._stop_loss_points.Value * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast
self._prev_slow = slow
return
if self._take_profit_points.Value > 0 and close >= self._entry_price + self._take_profit_points.Value * step:
self.SellMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast
self._prev_slow = slow
return
elif self.Position < 0 and self._entry_price > 0:
if self._stop_loss_points.Value > 0 and close >= self._entry_price + self._stop_loss_points.Value * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast
self._prev_slow = slow
return
if self._take_profit_points.Value > 0 and close <= self._entry_price - self._take_profit_points.Value * step:
self.BuyMarket()
self._entry_price = 0.0
self._cooldown = 100
self._prev_fast = fast
self._prev_slow = slow
return
if self._prev_fast <= self._prev_slow and fast > slow 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 < slow and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._entry_price = close
self._cooldown = 100
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return macd_1_min_scalper_strategy()