AH HM MFI 策略
摘要
AH HM MFI 策略结合 Money Flow Index(MFI)指标来交易锤头(Hammer)与上吊线(Hanging Man)形态。当市场在短期下跌后出现锤头且 MFI 低于超卖阈值时,策略开多单;当上涨行情中形成上吊线且 MFI 高于超买阈值时,策略开空单。MFI 穿越预设的上、下限时会触发离场。
核心逻辑
- 订阅指定周期的 K 线,并计算两个指标:
- Money Flow Index,可调周期(默认 47)。
- 简单移动平均线(SMA),用于模拟原始 MQL 策略中的趋势过滤器(默认周期 5)。
- 识别 锤头 与 上吊线 形态:
- K 线实体位于全长的上三分之一。
- 下影线相对实体较长。
- 与前一根 K 线相比存在顺势跳空。
- 使用前一根 K 线的中点与移动平均线对比来确认趋势方向。
- 利用 MFI 阈值确认进场:
- 当检测到锤头且 MFI 小于等于设定的超卖阈值(默认 40)时买入。
- 当出现上吊线且 MFI 大于等于设定的超买阈值(默认 60)时卖出。
- 根据 MFI 穿越情况管理持仓:
- MFI 向上突破下限或上限(默认 30、70)时平掉空单。
- MFI 向上突破上限或向下跌破下限时平掉多单。
- 启动内置的
StartProtection风险保护,处理异常情况。
参数
| 名称 | 说明 | 默认值 |
|---|---|---|
CandleType |
用于形态识别的 K 线类型与周期。 | 30 分钟 K 线 |
MfiPeriod |
MFI 指标的计算周期。 | 47 |
MaPeriod |
用于趋势过滤的 SMA 周期。 | 5 |
HammerEntryThreshold |
锤头进场允许的最大 MFI 值。 | 40 |
HangingEntryThreshold |
上吊线进场需要的最小 MFI 值。 | 60 |
MfiUpperExitLevel |
MFI 上限,向上突破时关闭仓位。 | 70 |
MfiLowerExitLevel |
MFI 下限:向下突破时平多,向上突破时平空。 | 30 |
说明
- 策略只处理已完成的 K 线,避免对未收盘数据做出决策。
- 对锤头与上吊线的判定较为严格,需要长下影线与贴近最高价的实体,从而减少噪声。
- SMA 代替原始 MetaTrader 5 专家顾问中的
CloseAvg过滤器,确保信号顺应主要趋势。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// Hammer/Hanging Man + MFI strategy.
/// Buys on hammer with low MFI (oversold), sells on hanging man with high MFI (overbought).
/// </summary>
public class AhHmMfiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _mfiPeriod;
private readonly StrategyParam<decimal> _mfiLow;
private readonly StrategyParam<decimal> _mfiHigh;
private readonly StrategyParam<int> _signalCooldownCandles;
private int _candlesSinceTrade;
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 int SignalCooldownCandles { get => _signalCooldownCandles.Value; set => _signalCooldownCandles.Value = value; }
public AhHmMfiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_mfiPeriod = Param(nameof(MfiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("MFI Period", "MFI period", "Indicators");
_mfiLow = Param(nameof(MfiLow), 35m)
.SetDisplay("MFI Low", "MFI oversold threshold for buy", "Signals");
_mfiHigh = Param(nameof(MfiHigh), 65m)
.SetDisplay("MFI High", "MFI overbought threshold for sell", "Signals");
_signalCooldownCandles = Param(nameof(SignalCooldownCandles), 8)
.SetGreaterThanZero()
.SetDisplay("Signal Cooldown", "Bars to wait between trades", "Trading");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_candlesSinceTrade = SignalCooldownCandles;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candlesSinceTrade = SignalCooldownCandles;
var rsi = new RelativeStrengthIndex { Length = MfiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(rsi, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal mfiValue)
{
if (candle.State != CandleStates.Finished) return;
if (_candlesSinceTrade < SignalCooldownCandles)
_candlesSinceTrade++;
var body = Math.Abs(candle.ClosePrice - candle.OpenPrice);
var range = candle.HighPrice - candle.LowPrice;
if (range <= 0 || body <= 0) return;
var upperShadow = candle.HighPrice - Math.Max(candle.OpenPrice, candle.ClosePrice);
var lowerShadow = Math.Min(candle.OpenPrice, candle.ClosePrice) - candle.LowPrice;
var isHammer = lowerShadow > body * 2.5m && upperShadow < body * 0.5m;
var isHangingMan = upperShadow > body * 2.5m && lowerShadow < body * 0.5m;
if (isHammer && mfiValue < MfiLow && Position <= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
BuyMarket();
_candlesSinceTrade = 0;
}
else if (isHangingMan && mfiValue > MfiHigh && Position >= 0 && _candlesSinceTrade >= SignalCooldownCandles)
{
SellMarket();
_candlesSinceTrade = 0;
}
}
}
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 RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class ah_hm_mfi_strategy(Strategy):
def __init__(self):
super(ah_hm_mfi_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60)))
self._mfi_period = self.Param("MfiPeriod", 14)
self._mfi_low = self.Param("MfiLow", 35.0)
self._mfi_high = self.Param("MfiHigh", 65.0)
self._signal_cooldown_candles = self.Param("SignalCooldownCandles", 8)
self._candles_since_trade = 8
@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
@property
def SignalCooldownCandles(self):
return self._signal_cooldown_candles.Value
@SignalCooldownCandles.setter
def SignalCooldownCandles(self, value):
self._signal_cooldown_candles.Value = value
def OnReseted(self):
super(ah_hm_mfi_strategy, self).OnReseted()
self._candles_since_trade = self.SignalCooldownCandles
def OnStarted2(self, time):
super(ah_hm_mfi_strategy, self).OnStarted2(time)
self._candles_since_trade = self.SignalCooldownCandles
rsi = RelativeStrengthIndex()
rsi.Length = self.MfiPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, self._process_candle).Start()
def _process_candle(self, candle, mfi_value):
if candle.State != CandleStates.Finished:
return
if self._candles_since_trade < self.SignalCooldownCandles:
self._candles_since_trade += 1
mfi_val = float(mfi_value)
body = abs(float(candle.ClosePrice) - float(candle.OpenPrice))
rng = float(candle.HighPrice) - float(candle.LowPrice)
if rng <= 0 or body <= 0:
return
upper_shadow = float(candle.HighPrice) - max(float(candle.OpenPrice), float(candle.ClosePrice))
lower_shadow = min(float(candle.OpenPrice), float(candle.ClosePrice)) - float(candle.LowPrice)
is_hammer = lower_shadow > body * 2.5 and upper_shadow < body * 0.5
is_hanging_man = upper_shadow > body * 2.5 and lower_shadow < body * 0.5
if is_hammer and mfi_val < self.MfiLow and self.Position <= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.BuyMarket()
self._candles_since_trade = 0
elif is_hanging_man and mfi_val > self.MfiHigh and self.Position >= 0 and self._candles_since_trade >= self.SignalCooldownCandles:
self.SellMarket()
self._candles_since_trade = 0
def CreateClone(self):
return ah_hm_mfi_strategy()