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FrBestExp02 Maloma Mod 策略
该策略是 MetaTrader 4 智能交易程序 Frbestexp02_1_maloma_mod.mq4 的 C# 版本。它结合了 OsMA 动量、分形反转、勾选成交量确认以及滚动日枢轴过滤器,用于在 15 分钟周期上捕捉过度延伸后的反向机会。
交易逻辑
- 会话枢轴:在可配置窗口内(默认 96 根 M15 蜡烛,约等于一个交易日)计算最高价、最低价和最早的收盘价得到枢轴点。策略只在价格位于枢轴上方时做空,位于枢轴下方时做多。
- 分形形态:等待距当前三根 K 线的确认分形。下分形(摆动低点)触发做空条件,上分形(摆动高点)触发做多条件。
- OsMA 直方图:MACD 直方图(默认快线 12、慢线 26、信号线 9)必须继续向负区间下降才允许做空,而做多时需要继续向正区间上升;上一根柱也必须在相同的零轴一侧。
- 成交量过滤:上一根完结蜡烛的成交量必须高于设定阈值,并且大于两根前的成交量,以复现原始 EA 对成交量突增的要求。
- 下单节奏:两次入场之间必须满足最小时间间隔(默认 20 秒)。
- 风险控制:止损、止盈以及可选的移动止损均以点数设置,并在运行时转换为实际价格,通过
SetStopLoss/SetTakeProfit 自动更新保护单。
参数
| 名称 |
说明 |
默认值 |
Volume |
每次下单的手数。 |
1 |
StopLossPoints |
止损距离(点)。 |
1000 |
TakeProfitPoints |
止盈距离(点)。 |
1000 |
TrailingStopPoints |
可选的移动止损距离(0 表示禁用)。 |
0 |
VolumeThreshold |
触发信号所需的上一根成交量最小值。 |
50 |
OsmaFastPeriod / OsmaSlowPeriod / OsmaSignalPeriod |
计算 OsMA 直方图的 MACD 参数。 |
12 / 26 / 9 |
PivotWindow |
枢轴计算使用的完结蜡烛数量。 |
96 |
MinTradeIntervalSeconds |
两次新开仓之间的最小秒数。 |
20 |
CandleType |
主时间框架(默认 15 分钟蜡烛)。 |
M15 |
与原版 EA 的差异
- 原版代码支持按
kh 倍数对冲加仓并包含复杂的利润回收逻辑。移植版本只维护单一方向仓位,在开新仓前会先平掉或反向。
- 移动止损使用 StockSharp 的
SetStopLoss 辅助方法简化实现,不再逐笔修改订单。
- 省略了利润累计与马丁加仓模块,退出完全依赖止损、止盈或移动止损。
- 指标计算全部基于完结蜡烛事件,没有盘中修改订单的行为。
使用建议
- 若希望成交量过滤器与 MT4 版本一致,请确保标的能够提供勾选成交量数据。
- 推荐保持 15 分钟周期,以匹配原始分形与枢轴设置。
- 不同品种可适当调整
VolumeThreshold 与 OsMA 参数,使其适应波动性与成交量差异。
- 只有在需要更紧凑的退出方式时才开启移动止损,否则保持 0 依赖固定止损/止盈。
该实现遵循 StockSharp 高阶 API 的最佳实践:通过 SubscribeCandles 订阅蜡烛、绑定 MACD 指标,并使用 BuyMarket/SellMarket 下单同时自动配置保护单。
using System;
using System.Collections.Generic;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// FrBestExp02 Maloma Mod strategy - MACD histogram crossover with EMA trend filter.
/// Buys when MACD histogram crosses above zero while price is above EMA.
/// Sells when MACD histogram crosses below zero while price is below EMA.
/// </summary>
public class FrBestExp02MalomaModStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevMacd;
private decimal _prevSignal;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FrBestExp02MalomaModStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetDisplay("EMA Period", "EMA trend filter", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities() => [(Security, CandleType)];
protected override void OnReseted() { base.OnReseted(); _prevMacd = 0m; _prevSignal = 0m; _hasPrev = false; _currentEma = 0m; }
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var macd = new MovingAverageConvergenceDivergenceSignal();
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(macd, ProcessMacd)
.Bind(ema, ProcessEma)
.Start();
}
private decimal _currentEma;
private void ProcessEma(ICandleMessage candle, decimal ema)
{
if (candle.State != CandleStates.Finished)
return;
_currentEma = ema;
}
private void ProcessMacd(ICandleMessage candle, IIndicatorValue value)
{
if (candle.State != CandleStates.Finished)
return;
if (!value.IsFinal || value.IsEmpty)
return;
var macdVal = value as MovingAverageConvergenceDivergenceSignalValue;
if (macdVal == null)
return;
var macdLine = macdVal.Macd;
var signalLine = macdVal.Signal;
if (macdLine == null || signalLine == null)
return;
var histogram = macdLine.Value - signalLine.Value;
if (!_hasPrev)
{
_prevMacd = macdLine.Value;
_prevSignal = signalLine.Value;
_hasPrev = true;
return;
}
var prevHist = _prevMacd - _prevSignal;
var close = candle.ClosePrice;
// Histogram crosses above zero + bullish trend
if (prevHist <= 0 && histogram > 0 && close > _currentEma && Position <= 0)
{
if (Position < 0)
BuyMarket();
BuyMarket();
}
// Histogram crosses below zero + bearish trend
else if (prevHist >= 0 && histogram < 0 && close < _currentEma && Position >= 0)
{
if (Position > 0)
SellMarket();
SellMarket();
}
_prevMacd = macdLine.Value;
_prevSignal = signalLine.Value;
}
}
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 MovingAverageConvergenceDivergenceSignal, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class fr_best_exp02_maloma_mod_strategy(Strategy):
def __init__(self):
super(fr_best_exp02_maloma_mod_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA trend filter", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_macd = 0.0
self._prev_signal = 0.0
self._has_prev = False
self._current_ema = 0.0
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(fr_best_exp02_maloma_mod_strategy, self).OnReseted()
self._prev_macd = 0.0
self._prev_signal = 0.0
self._has_prev = False
self._current_ema = 0.0
def OnStarted2(self, time):
super(fr_best_exp02_maloma_mod_strategy, self).OnStarted2(time)
self._has_prev = False
macd = MovingAverageConvergenceDivergenceSignal()
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
subscription = self.SubscribeCandles(self.candle_type)
subscription \
.BindEx(macd, self.process_macd) \
.Bind(ema, self.process_ema) \
.Start()
def process_ema(self, candle, ema):
if candle.State != CandleStates.Finished:
return
self._current_ema = float(ema)
def process_macd(self, candle, value):
if candle.State != CandleStates.Finished:
return
if not value.IsFinal or value.IsEmpty:
return
if value.Macd is None or value.Signal is None:
return
macd_line = float(value.Macd)
signal_line = float(value.Signal)
histogram = macd_line - signal_line
if not self._has_prev:
self._prev_macd = macd_line
self._prev_signal = signal_line
self._has_prev = True
return
prev_hist = self._prev_macd - self._prev_signal
close = float(candle.ClosePrice)
if prev_hist <= 0 and histogram > 0 and close > self._current_ema and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif prev_hist >= 0 and histogram < 0 and close < self._current_ema and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_macd = macd_line
self._prev_signal = signal_line
def CreateClone(self):
return fr_best_exp02_maloma_mod_strategy()