EMA 2-35 交叉策略
该策略基于两条指数移动平均线的交叉。长度为2的快速EMA对价格变动非常敏感,长度为35的慢速EMA代表长期趋势。当快速EMA自下而上穿越慢速EMA时建立多头头寸;反向穿越时建立空头头寸。
风险控制通过以价格步长表示的固定止损和止盈实现,同时使用追踪止损在行情有利时保护盈利。
细节
- 入场条件:
- 多头:EMA(2) 上穿 EMA(35)。
- 空头:EMA(2) 下穿 EMA(35)。
- 方向:双向。
- 出场条件:
- 反向交叉。
- 触发止损或止盈。
- 触发追踪止损。
- 止损:固定止损、止盈和追踪止损(价格步长)。
- 默认值:
FastLength= 2SlowLength= 35StopLoss= 50TakeProfit= 150TrailingStop= 50
- 过滤器:
- 类别:趋势跟随
- 方向:双向
- 指标:移动平均线
- 止损:有
- 复杂度:简单
- 时间框架:短期
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// EMA(2) / EMA(35) crossover strategy.
/// </summary>
public class Ema235CrossStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastLength { get => _fastLength.Value; set => _fastLength.Value = value; }
public int SlowLength { get => _slowLength.Value; set => _slowLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public Ema235CrossStrategy()
{
_fastLength = Param(nameof(FastLength), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA length", "Parameters");
_slowLength = Param(nameof(SlowLength), 35)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA length", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = FastLength };
var slow = new ExponentialMovingAverage { Length = SlowLength };
SubscribeCandles(CandleType)
.Bind(fast, slow, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal fastVal, decimal slowVal)
{
if (candle.State != CandleStates.Finished) return;
if (!_hasPrev)
{
_prevFast = fastVal;
_prevSlow = slowVal;
_hasPrev = true;
return;
}
var crossUp = _prevFast <= _prevSlow && fastVal > slowVal;
var crossDown = _prevFast >= _prevSlow && fastVal < slowVal;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevFast = fastVal;
_prevSlow = slowVal;
}
}
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 ema_2_35_cross_strategy(Strategy):
def __init__(self):
super(ema_2_35_cross_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 10) \
.SetDisplay("Fast EMA", "Fast EMA length", "Parameters")
self._slow_length = self.Param("SlowLength", 35) \
.SetDisplay("Slow EMA", "Slow EMA length", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ema_2_35_cross_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(ema_2_35_cross_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self.fast_length
slow = ExponentialMovingAverage()
slow.Length = self.slow_length
self.SubscribeCandles(self.candle_type) \
.Bind(fast, slow, self.process_candle) \
.Start()
def process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast_val = float(fast_val)
slow_val = float(slow_val)
if not self._has_prev:
self._prev_fast = fast_val
self._prev_slow = slow_val
self._has_prev = True
return
cross_up = self._prev_fast <= self._prev_slow and fast_val > slow_val
cross_down = self._prev_fast >= self._prev_slow and fast_val < slow_val
if cross_up and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif cross_down and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return ema_2_35_cross_strategy()