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4 SMA 策略
概述
4 SMA 策略复刻了 MetaTrader 专家顾问 4 SMA.mq4。策略在使用中值价(最高价与最低价的平均值)计算的 30 分钟K线上运行,并比较 5、20、40、60 四条简单移动平均线来捕捉动量突破。StockSharp 版本保持了原始程序一次只持有一个方向仓位的行为,并使用高层 API 来完成下单与风控。
交易逻辑
- 对每根收盘完成的K线计算中值价
(high + low) / 2,并将该值送入四条 SMA 指标。
- 做多开仓 条件:快线 SMA 高于中线 SMA,中线 SMA 高于慢线 SMA,慢线 SMA 至少高于超慢线一个最小价格步长,同时上一根K线的慢线 SMA 小于或等于超慢线。仅在没有持仓或持有空单时才会入场做多。
- 做空开仓 条件与之相反:快线 SMA 低于中线 SMA,中线 SMA 低于慢线 SMA,超慢线至少高于慢线一个价格步长,并且上一根K线的慢线 SMA 大于或等于超慢线。仅在没有持仓或持有多单时才会入场做空。
仓位管理
- 当慢线下穿超慢线时平掉多单;当慢线上穿超慢线时平掉空单。
- 入场后预先计算止损和止盈价格,距离以点数表示并乘以标的的最小价格步长,与原程序保持一致。
- 价格走出设定的跟踪距离后启动移动止损,每根K线根据收盘价向有利方向平移,且不会回撤。
参数
| 名称 |
说明 |
默认值 |
| CandleType |
计算所用的K线序列,默认 30 分钟。 |
M30 时间框架 |
| TakeProfit |
止盈点数距离。 |
50 |
| StopLoss |
止损点数距离。 |
50 |
| TrailingStop |
移动止损点数距离。 |
11 |
| FastLength |
快线 SMA 长度。 |
5 |
| MediumLength |
中线 SMA 长度。 |
20 |
| SlowLength |
慢线 SMA 长度。 |
40 |
| VerySlowLength |
超慢线 SMA 长度。 |
60 |
所有数值型参数都暴露在 StockSharp 参数界面中,可用于优化。
与 MQL 版本的差异
- 原始版本通过修改 MT4 订单的止损来实现移动止损,本移植版改为计算价格并在触发时发送市价单离场。
- 使用价格步长保证策略可在非外汇品种上运行。
- StockSharp 实现依赖
SubscribeCandles 等高层 API,并采用参数系统来配置策略,更符合框架最佳实践。
using System;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class FourSmaStrategy : 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 FourSmaStrategy()
{
_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 four_sma_strategy(Strategy):
def __init__(self):
super(four_sma_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(four_sma_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(four_sma_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 four_sma_strategy()