EMA交叉信号策略
该策略基于两条指数移动平均线(EMA)的交叉进行交易。根据选定的K线序列计算快速EMA和慢速EMA。当快速EMA上穿慢速EMA时,策略可以平掉当前的空头并在需要时开多头;当快速EMA下穿慢速EMA时,策略可以平掉多头并在需要时开空头。
在建立新头寸后,策略可根据设置的距离自动挂出止盈和止损单,距离以跳动点数计。每次新入场时,这些保护性订单都会被取消并重新挂出。
策略提供开多、开空以及分别关闭多头或空头的开关,用户可独立启用或禁用每个方向。所有计算仅在收盘完成的K线上执行。
参数
- 快速周期 – 快速EMA的长度。
- 慢速周期 – 慢速EMA的长度。
- K线类型 – 用于计算的时间框架。
- 允许开多 – 当快速EMA上穿慢速EMA时开多。
- 允许开空 – 当快速EMA下穿慢速EMA时开空。
- 允许平多 – 当快速EMA下穿慢速EMA时平多。
- 允许平空 – 当快速EMA上穿慢速EMA时平空。
- 止盈跳数 – 入场价到止盈价的跳动点数。
- 止损跳数 – 入场价到止损价的跳动点数。
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>
/// Trades EMA crossovers with optional separate entry and exit permissions for long and short positions.
/// </summary>
public class EmaCrossoverSignalStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private bool _isInitialized;
private bool _wasFastAboveSlow;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public EmaCrossoverSignalStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("Fast Period", "Length of the fast EMA", "EMA");
_slowPeriod = Param(nameof(SlowPeriod), 13)
.SetGreaterThanZero()
.SetDisplay("Slow Period", "Length of the slow EMA", "EMA");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for calculations", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_isInitialized = default;
_wasFastAboveSlow = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, Process)
.Start();
}
private void Process(ICandleMessage candle, decimal fastValue, decimal slowValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_isInitialized)
{
_wasFastAboveSlow = fastValue > slowValue;
_isInitialized = true;
return;
}
var isFastAboveSlow = fastValue > slowValue;
if (_wasFastAboveSlow != isFastAboveSlow)
{
if (isFastAboveSlow)
{
// Upward crossover - buy signal
if (Position < 0)
BuyMarket();
if (Position <= 0)
BuyMarket();
}
else
{
// Downward crossover - sell signal
if (Position > 0)
SellMarket();
if (Position >= 0)
SellMarket();
}
_wasFastAboveSlow = isFastAboveSlow;
}
}
}
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_crossover_signal_strategy(Strategy):
def __init__(self):
super(ema_crossover_signal_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 5) \
.SetDisplay("Fast Period", "Length of the fast EMA", "EMA")
self._slow_period = self.Param("SlowPeriod", 13) \
.SetDisplay("Slow Period", "Length of the slow EMA", "EMA")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe for calculations", "General")
self._is_initialized = False
self._was_fast_above_slow = False
@property
def FastPeriod(self):
return self._fast_period.Value
@FastPeriod.setter
def FastPeriod(self, value):
self._fast_period.Value = value
@property
def SlowPeriod(self):
return self._slow_period.Value
@SlowPeriod.setter
def SlowPeriod(self, value):
self._slow_period.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(ema_crossover_signal_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.FastPeriod
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.SlowPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(fast_ema, slow_ema, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, fast_value, slow_value):
if candle.State != CandleStates.Finished:
return
fast = float(fast_value)
slow = float(slow_value)
if not self._is_initialized:
self._was_fast_above_slow = fast > slow
self._is_initialized = True
return
is_fast_above_slow = fast > slow
if self._was_fast_above_slow != is_fast_above_slow:
if is_fast_above_slow:
if self.Position < 0:
self.BuyMarket()
if self.Position <= 0:
self.BuyMarket()
else:
if self.Position > 0:
self.SellMarket()
if self.Position >= 0:
self.SellMarket()
self._was_fast_above_slow = is_fast_above_slow
def OnReseted(self):
super(ema_crossover_signal_strategy, self).OnReseted()
self._is_initialized = False
self._was_fast_above_slow = False
def CreateClone(self):
return ema_crossover_signal_strategy()