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Five MA Multi-Timeframe 策略
概述
Five MA Multi-Timeframe Strategy 在 StockSharp 平台中复刻 MT4 的 “5matf” 专家顾问。策略在三个时间框架(信号、确认、趋势)上同时计算 5 条简单移动平均线,并结合 Accelerator Oscillator 加速指标来评估多空力量。当所有时间框架都指向同一方向且强度达到阈值时,策略会开仓或平仓。
指标与数据
- 简单移动平均线(SMA):每个时间框架使用周期 5、8、13、21、34。
- Accelerator Oscillator(AC):在信号时间框架和趋势时间框架上应用,用于捕捉动量加速。
- 时间框架:默认设置为 15 分钟(信号)、60 分钟(确认)和 240 分钟(趋势过滤),可通过参数自由调整。
信号逻辑
- 对每条 SMA 比较当前收盘值与上一根完成 K 线的值,判断斜率方向。
- AC 指标使用最近四个数值识别加速上升或下降的形态。
- 将斜率计数与 AC 结果转换成百分比得分,分别对应三个时间框架。
- 当三个时间框架的多头得分同时超过 50% 时生成 BUY 信号;超过 75% 时视为强信号。
- 空头方向使用相同阈值生成 SELL 信号。
- 如果持有仓位,当相反方向的信号超过
CloseLevel 时立即平仓。为了与原版 EA 保持一致,策略只在空仓状态下开新仓位。
参数
| 名称 |
默认值 |
说明 |
CandleType |
15 分钟 K 线 |
生成交易信号的主要时间框架。 |
HigherTimeframe1 |
60 分钟 K 线 |
第一个较高时间框架,用于确认。 |
HigherTimeframe2 |
240 分钟 K 线 |
最慢时间框架,用于趋势过滤。 |
FirstPeriod – FifthPeriod |
5、8、13、21、34 |
各时间框架上使用的 SMA 周期。 |
OpenLevel |
0 |
开仓所需的最小信号等级。 |
CloseLevel |
1 |
平仓所需的反向信号等级。 |
使用提示
- 策略使用市价单,并且不会在同一根 K 线上直接反向开仓,先平仓再等待新信号。
- 请为所有选定的时间框架提供历史数据,保证指标同步计算。
- 在不同品种或波动环境下运行时,可以优化 SMA 周期与阈值来匹配市场特性。
转换说明
该实现完整保留了 MT4 “5matf” 的核心逻辑,并利用 StockSharp 的订阅与绑定机制实现高阶封装。与原始版本相同,AC 指标需要至少四根完成的 K 线才会产生有效信号。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class FiveMaMultiTimeframeStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _cooldownCandles;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private int _cooldownRemaining;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int CooldownCandles { get => _cooldownCandles.Value; set => _cooldownCandles.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public FiveMaMultiTimeframeStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 20).SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 80).SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_cooldownCandles = Param(nameof(CooldownCandles), 100).SetDisplay("Cooldown", "Candles between signals", "General");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame()).SetDisplay("Candle Type", "Candle timeframe", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = default;
_prevSlow = default;
_hasPrev = default;
_cooldownRemaining = default;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
_cooldownRemaining = 0;
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fast, slow, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fast, decimal slow)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev) { _prevFast = fast; _prevSlow = slow; _hasPrev = true; return; }
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevFast = fast;
_prevSlow = slow;
return;
}
if (_prevFast <= _prevSlow && fast > slow && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
_cooldownRemaining = CooldownCandles;
}
else if (_prevFast >= _prevSlow && fast < slow && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
_cooldownRemaining = CooldownCandles;
}
_prevFast = fast;
_prevSlow = slow;
}
}
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 five_ma_multi_timeframe_strategy(Strategy):
def __init__(self):
super(five_ma_multi_timeframe_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 20) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 80) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._cooldown_candles = self.Param("CooldownCandles", 100) \
.SetDisplay("Cooldown", "Candles between signals", "General")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def cooldown_candles(self):
return self._cooldown_candles.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(five_ma_multi_timeframe_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(five_ma_multi_timeframe_strategy, self).OnStarted2(time)
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._cooldown_remaining = 0
fast = ExponentialMovingAverage()
fast.Length = self.fast_period
slow = ExponentialMovingAverage()
slow.Length = self.slow_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self.process_candle).Start()
def process_candle(self, candle, fast, slow):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast)
slow_val = float(slow)
if not self._has_prev:
self._prev_fast = fast_val
self._prev_slow = slow_val
self._has_prev = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_fast = fast_val
self._prev_slow = slow_val
return
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._cooldown_remaining = self.cooldown_candles
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._cooldown_remaining = self.cooldown_candles
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return five_ma_multi_timeframe_strategy()