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均线交叉策略
概述
该策略复刻了原始 MQL 移动平均线交叉专家顾问,使用 StockSharp 的高级 API 监控两条简单移动平均线。策略在每根完成的K线后更新指标,当快线从慢线下方穿越到上方时产生做多信号,反向穿越时产生做空信号,并可选择在出现反向信号时立即平掉当前持仓。
交易逻辑
- 订阅用户配置的K线类型,并在每根完成的K线上计算快慢 SMA。
- 当快线从下向上穿越慢线且没有持仓时,以设定的手数开多。
- 当快线从上向下穿越慢线且没有持仓时,以设定的手数开空。
- 如果开启“反向信号平仓”选项,在检测到反向交叉时立即平掉当前持仓。
风险控制
- 为每次开仓设置固定的止损和止盈,单位为品种的点值,开仓后重新计算价格位置。
- 当浮盈达到设定的触发点数后,将止损移动到保本价,并可额外保留一定点数作为锁定收益。
- 当利润达到设定的起始点数后启用移动止损,始终沿着最有利的价格调整止损,且不会逆向移动。
参数说明
- Fast MA Period – 快速SMA的周期。
- Slow MA Period – 慢速SMA的周期。
- Trade Volume – 下单手数。
- Stop Loss (points) – 初始止损的点数距离。
- Take Profit (points) – 初始止盈的点数距离。
- Break-even Trigger – 触发保本止损所需的利润点数。
- Break-even Offset – 保本后额外保留的利润点数。
- Trailing Start – 启动移动止损所需的利润点数。
- Trailing Distance – 移动止损与价格之间保持的点数距离。
- Close On Opposite – 是否在出现反向交叉时平仓。
- Candle Type – 用于计算指标的K线类型。
使用提示
- 请确保交易品种具备有效的
PriceStep。若缺失,则默认使用 1 作为点值。
- 保本和移动止损基于完成的K线进行计算,与原始 EA 在收盘价处理逻辑一致。
- 建议根据不同市场或时间框架对均线周期和风险参数进行优化。
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Moving Averages Crossover strategy: EMA crossover.
/// Buys when fast EMA crosses above slow EMA. Sells on cross below.
/// </summary>
public class MovingAveragesCrossoverStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
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 MovingAveragesCrossoverStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Candle timeframe", "General");
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastPeriod };
var slow = new ExponentialMovingAverage { Length = SlowPeriod };
decimal? prevFast = null;
decimal? prevSlow = null;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fast, slow, (candle, fastVal, slowVal) =>
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (prevFast.HasValue && prevSlow.HasValue)
{
var crossUp = prevFast.Value <= prevSlow.Value && fastVal > slowVal;
var crossDown = prevFast.Value >= prevSlow.Value && fastVal < slowVal;
if (crossUp && Position <= 0)
BuyMarket();
else if (crossDown && Position >= 0)
SellMarket();
}
prevFast = fastVal;
prevSlow = slowVal;
})
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fast);
DrawIndicator(area, slow);
DrawOwnTrades(area);
}
}
}
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 moving_averages_crossover_strategy(Strategy):
def __init__(self):
super(moving_averages_crossover_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle Type", "Candle timeframe", "General")
self._fast_period = self.Param("FastPeriod", 10) \
.SetGreaterThanZero() \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 30) \
.SetGreaterThanZero() \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._prev_fast = None
self._prev_slow = None
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(moving_averages_crossover_strategy, self).OnReseted()
self._prev_fast = None
self._prev_slow = None
def OnStarted2(self, time):
super(moving_averages_crossover_strategy, self).OnStarted2(time)
self._fast_ind = ExponentialMovingAverage()
self._fast_ind.Length = self._fast_period.Value
self._slow_ind = ExponentialMovingAverage()
self._slow_ind.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._fast_ind, self._slow_ind, self._process_candle).Start()
def _process_candle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
fast_val = float(fast_value)
slow_val = float(slow_value)
if self._prev_fast is not None and self._prev_slow is not None:
if self._prev_fast <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return moving_averages_crossover_strategy()