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MACross 策略
该策略将 MQL/34176/MACross.mq4 专家顾问移植到 StockSharp 高级 API。核心思想仍是双均线交叉开平仓,并保留所有以点数和账户权益表示的风控规则。
交易逻辑
- 在选定的蜡烛类型上计算两条简单移动平均线(SMA):
FastPeriod 用于捕捉快速变化。
SlowPeriod 描述中期趋势。
- 每当一根蜡烛收盘时比较两条均线:
- 当快速均线上穿慢速均线时建立多头仓位,若之前存在空头则先行平仓。
- 当快速均线下穿慢速均线时建立空头仓位,若之前存在多头则先行平仓。
- 所有订单均按
LotSize 指定的基准手数下单,并根据合约限制(VolumeStep、MinVolume、MaxVolume)自动对齐。
- 建仓后策略会同时跟踪两个以点数表示的风险目标。点值首先依据
Security.Decimals 推断,若无法获取则退回使用 PriceStep:
TakeProfitPips 定义了止盈距离,触发后立即平仓锁定利润。
StopLossPips 定义了止损距离,触发后立即平仓限制亏损。
MinEquity 参数用于权益保护。当组合价值低于阈值时,策略继续管理已有仓位,但不再开立新的头寸。
所有判断都只基于已完成的蜡烛,与原始 EA 在新 K 线形成后再执行逻辑的方式完全一致。
可视化
若界面支持图表,策略会绘制:
- 订阅到的蜡烛序列;
- 快速与慢速 SMA;
- 策略自身的成交记录,方便核对交叉信号。
参数
| 名称 |
类型 |
默认值 |
说明 |
FastPeriod |
int |
8 |
快速 SMA 的长度,用于产生入场信号。 |
SlowPeriod |
int |
20 |
慢速 SMA 的长度,代表趋势方向。 |
TakeProfitPips |
decimal |
20 |
止盈距离(点)。点值会根据标的的小数位自动推断。 |
StopLossPips |
decimal |
20 |
止损距离(点)。采用与止盈相同的点值计算方式。 |
LotSize |
decimal |
1 |
基础下单手数,发送订单前会按交易所要求取整。 |
MinEquity |
decimal |
100 |
最低账户权益。权益低于该值时禁止开仓。 |
CandleType |
DataType |
TimeSpan.FromMinutes(1).TimeFrame() |
用于计算 SMA 并触发信号的蜡烛序列。 |
与 MQL 版本的差异
- 原 EA 在
OrderSend 中将止损/止盈参数设为 0。本移植版本改为在每根蜡烛收盘时手动检测价格是否触发止损或止盈。
cekMinEquity 现在读取 Portfolio.CurrentValue 与 Portfolio.BeginValue 来判断权益,逻辑与 AccountEquity() 等价。
- 点值计算遵循
GetPipPoint 的规则:两位或三位小数使用 0.01,四位或五位小数使用 0.0001,其他情况退回到 PriceStep。
这些改动保证策略既忠于原始逻辑,又能充分利用 StockSharp 在可视化与风险控制方面的功能,并支持对所有参数进行优化。
namespace StockSharp.Samples.Strategies;
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.Messages;
/// <summary>
/// MA Cross strategy: SMA crossover.
/// Buys when fast SMA crosses above slow SMA, sells on cross below.
/// </summary>
public class MacrossStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public MacrossStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(60).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast SMA", "Fast SMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("Slow SMA", "Slow SMA period", "Indicators");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
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 fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished) return;
if (_hasPrev)
{
if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
BuyMarket();
else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
SellMarket();
}
else
{
if (fastValue > slowValue && Position <= 0)
BuyMarket();
else if (fastValue < slowValue && Position >= 0)
SellMarket();
}
_prevFast = fastValue;
_prevSlow = slowValue;
_hasPrev = true;
}
}
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 ma_cross_strategy(Strategy):
"""
MA Cross strategy: EMA crossover.
Buys when fast crosses above slow, sells on cross below.
"""
def __init__(self):
super(ma_cross_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10).SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 30).SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(60))).SetDisplay("Candle Type", "Timeframe", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ma_cross_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(ma_cross_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self._fast_period.Value
slow = ExponentialMovingAverage()
slow.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self._process_candle).Start()
def _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
f = float(fast_val)
s = float(slow_val)
if self._has_prev:
if self._prev_fast <= self._prev_slow and f > s and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and f < s and self.Position >= 0:
self.SellMarket()
else:
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_fast = f
self._prev_slow = s
self._has_prev = True
return
if f > s and self.Position <= 0:
self.BuyMarket()
elif f < s and self.Position >= 0:
self.SellMarket()
self._prev_fast = f
self._prev_slow = s
self._has_prev = True
def CreateClone(self):
return ma_cross_strategy()