在 GitHub 上查看
Expert AML MFI 策略
概述
Expert AML MFI Strategy 使用 StockSharp 高级 API 复刻 MetaTrader 5 顾问程序 “Expert_AML_MFI”。策略聚焦于 Meeting Lines(相遇线)K 线形态,并通过 资金流量指数(MFI) 对每次入场信号进行确认。系统自动维护最近的 K 线统计数据,识别多空反转形态,并在 MFI 穿越超买 / 超卖阈值时管理持仓。
交易逻辑
- 数据准备:订阅所选周期(默认 1 小时),保存最近两根完整 K 线以及烛身长度的移动平均。烛身平均值采用
SimpleMovingAverage 对 |开盘价 - 收盘价| 进行计算,与 MT5 原始算法一致。
- 形态识别:辅助方法检测 Bullish Meeting Lines 与 Bearish Meeting Lines:
- 多头形态:一根长阴线之后出现一根长阳线,且收盘价与前一根收盘价相差不超过平均烛身的 10%。
- 空头形态:一根长阳线之后出现一根长阴线,且两根 K 线的收盘价几乎相同。
- MFI 确认:前一根 K 线的 MFI 必须低于多头入场阈值(默认 40)或高于空头入场阈值(默认 60)。
- 仓位管理:保存最近两个 MFI 数值,以监控 30(超卖)和 70(超买)水平的穿越:
- 当 MFI 向上穿越 30 或 70 时平掉空头仓位。
- 当 MFI 向下穿越 30 或向上穿越 70 时平掉多头仓位。
- 订单执行:在形态和 MFI 同时满足时,策略先平掉反向仓位,再按照设定基础手数以市价开仓。
参数
| 名称 |
说明 |
默认值 |
CandleType |
订阅的 K 线周期。 |
1 小时 |
MfiPeriod |
MFI 指标周期。 |
12 |
BodyAveragePeriod |
计算烛身均值所用的 K 线数量。 |
4 |
BullishEntryLevel |
多头入场允许的最大 MFI 值。 |
40 |
BearishEntryLevel |
空头入场所需的最小 MFI 值。 |
60 |
OversoldLevel |
判定超卖退出的阈值。 |
30 |
OverboughtLevel |
判定超买退出的阈值。 |
70 |
TradeVolume |
新开仓的基础手数。 |
1 |
所有参数均通过 StrategyParam 定义,可在 StockSharp Designer 中直接参与优化。
指标与图表
- Money Flow Index:绑定在 K 线订阅上,用于信号确认,并在存在图表区域时进行展示。
- 烛身移动平均:内部使用的
SimpleMovingAverage,用于判断烛身是否足够长。
补充说明
StartProtection() 在启动时调用一次,以启用内置仓位保护机制。
BuyMarket 与 SellMarket 在开新仓前会先平掉反向仓位,保持与 MT5 版本一致的执行方式。
- 按照仓库要求,本策略暂未提供 Python 版本。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Meeting Lines + MFI strategy.
/// Buys on bullish meeting lines with low MFI, sells on bearish meeting lines with high MFI.
/// </summary>
public class ExpertAmlMfiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _mfiPeriod;
private readonly StrategyParam<decimal> _mfiLow;
private readonly StrategyParam<decimal> _mfiHigh;
private ICandleMessage _prevCandle;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int MfiPeriod { get => _mfiPeriod.Value; set => _mfiPeriod.Value = value; }
public decimal MfiLow { get => _mfiLow.Value; set => _mfiLow.Value = value; }
public decimal MfiHigh { get => _mfiHigh.Value; set => _mfiHigh.Value = value; }
public ExpertAmlMfiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_mfiPeriod = Param(nameof(MfiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("MFI Period", "MFI period", "Indicators");
_mfiLow = Param(nameof(MfiLow), 40m)
.SetDisplay("MFI Low", "MFI level for bullish entry", "Signals");
_mfiHigh = Param(nameof(MfiHigh), 60m)
.SetDisplay("MFI High", "MFI level for bearish entry", "Signals");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevCandle = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevCandle = null;
var mfi = new MoneyFlowIndex { Length = MfiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(mfi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal mfiValue)
{
if (candle.State != CandleStates.Finished) return;
if (_prevCandle != null)
{
var avgBody = (Math.Abs(candle.ClosePrice - candle.OpenPrice) +
Math.Abs(_prevCandle.ClosePrice - _prevCandle.OpenPrice)) / 2m;
if (avgBody > 0)
{
var prevBearish = _prevCandle.OpenPrice > _prevCandle.ClosePrice;
var currBullish = candle.ClosePrice > candle.OpenPrice;
var closesNear = Math.Abs(candle.ClosePrice - _prevCandle.ClosePrice) < avgBody * 0.3m;
if (prevBearish && currBullish && closesNear && mfiValue < MfiLow && Position <= 0)
BuyMarket();
var prevBullish = _prevCandle.ClosePrice > _prevCandle.OpenPrice;
var currBearish = candle.OpenPrice > candle.ClosePrice;
var closesNear2 = Math.Abs(candle.ClosePrice - _prevCandle.ClosePrice) < avgBody * 0.3m;
if (prevBullish && currBearish && closesNear2 && mfiValue > MfiHigh && Position >= 0)
SellMarket();
}
}
_prevCandle = candle;
}
}
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 MoneyFlowIndex
from StockSharp.Algo.Strategies import Strategy
class expert_aml_mfi_strategy(Strategy):
def __init__(self):
super(expert_aml_mfi_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._mfi_period = self.Param("MfiPeriod", 14)
self._mfi_low = self.Param("MfiLow", 40.0)
self._mfi_high = self.Param("MfiHigh", 60.0)
self._prev_candle = None
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def MfiPeriod(self):
return self._mfi_period.Value
@MfiPeriod.setter
def MfiPeriod(self, value):
self._mfi_period.Value = value
@property
def MfiLow(self):
return self._mfi_low.Value
@MfiLow.setter
def MfiLow(self, value):
self._mfi_low.Value = value
@property
def MfiHigh(self):
return self._mfi_high.Value
@MfiHigh.setter
def MfiHigh(self, value):
self._mfi_high.Value = value
def OnReseted(self):
super(expert_aml_mfi_strategy, self).OnReseted()
self._prev_candle = None
def OnStarted2(self, time):
super(expert_aml_mfi_strategy, self).OnStarted2(time)
self._prev_candle = None
mfi = MoneyFlowIndex()
mfi.Length = self.MfiPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(mfi, self._process_candle).Start()
def _process_candle(self, candle, mfi_value):
if candle.State != CandleStates.Finished:
return
mfi_val = float(mfi_value)
if self._prev_candle is not None:
avg_body = (abs(float(candle.ClosePrice) - float(candle.OpenPrice))
+ abs(float(self._prev_candle.ClosePrice) - float(self._prev_candle.OpenPrice))) / 2.0
if avg_body > 0:
prev_bearish = float(self._prev_candle.OpenPrice) > float(self._prev_candle.ClosePrice)
curr_bullish = float(candle.ClosePrice) > float(candle.OpenPrice)
closes_near = abs(float(candle.ClosePrice) - float(self._prev_candle.ClosePrice)) < avg_body * 0.3
if prev_bearish and curr_bullish and closes_near and mfi_val < self.MfiLow and self.Position <= 0:
self.BuyMarket()
prev_bullish = float(self._prev_candle.ClosePrice) > float(self._prev_candle.OpenPrice)
curr_bearish = float(candle.OpenPrice) > float(candle.ClosePrice)
closes_near2 = abs(float(candle.ClosePrice) - float(self._prev_candle.ClosePrice)) < avg_body * 0.3
if prev_bullish and curr_bearish and closes_near2 and mfi_val > self.MfiHigh and self.Position >= 0:
self.SellMarket()
self._prev_candle = candle
def CreateClone(self):
return expert_aml_mfi_strategy()