Aeron JJN 突破策略
该策略重现原始 Aeron JJN EA 的逻辑。观察到强烈反转蜡烛后,在最后一个相反方向蜡烛的开盘价放置止损单。止损和止盈设置在一个 ATR 之外,可选的跟踪止损保护持仓。
测试表明该方法在主要外汇对上使用 1 分钟周期效果最好。
当上一根蜡烛为实体大于 DojiDiff1 的看跌蜡烛,而当前蜡烛看涨且收盘价低于最后一个显著看跌开盘价时,放置买入止损单。卖出止损单使用相反条件。未成交的挂单在 ResetTime 分钟后取消。
细节
- 入场条件:
- 多头:上一根蜡烛看跌,当前蜡烛看涨并收于最后看跌开盘价下方。
- 空头:上一根蜡烛看涨,当前蜡烛看跌并收于最后看涨开盘价上方。
- 方向:多空双向。
- 出场条件:
- 基于 ATR 的止损和止盈。
- 可选的按点数跟踪止损。
- 止损:是,初始止损与目标基于 ATR,并可启用跟踪。
- 过滤器:
- 挂单在设定时间后过期。
参数
AtrPeriod– ATR 计算周期。DojiDiff1– 前一根蜡烛实体阈值。DojiDiff2– 搜索最后一个相反蜡烛的实体阈值。TrailSl– 是否启用跟踪止损。TrailPips– 跟踪止损的点数距离。ResetTime– 取消挂单前的分钟数。CandleType– 使用的时间框架。
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>
/// Aeron JJN breakout strategy.
/// Buys when candle reverses from bearish to bullish with body confirmation.
/// Sells when candle reverses from bullish to bearish.
/// </summary>
public class AeronJjnStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevOpen;
private decimal _prevClose;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public AeronJjnStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA trend filter", "Indicator");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevOpen = 0;
_prevClose = 0;
_hasPrev = false;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ema = new ExponentialMovingAverage { Length = EmaPeriod };
SubscribeCandles(CandleType)
.Bind(ema, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal emaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (_hasPrev)
{
var prevBull = _prevClose > _prevOpen;
var prevBear = _prevClose < _prevOpen;
var currBull = candle.ClosePrice > candle.OpenPrice;
var currBear = candle.ClosePrice < candle.OpenPrice;
// Buy: bearish to bullish reversal with price above EMA
if (prevBear && currBull && candle.ClosePrice > emaValue && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Sell: bullish to bearish reversal with price below EMA
else if (prevBull && currBear && candle.ClosePrice < emaValue && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
}
_prevOpen = candle.OpenPrice;
_prevClose = candle.ClosePrice;
_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, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class aeron_jjn_strategy(Strategy):
def __init__(self):
super(aeron_jjn_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA trend filter", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._prev_open = 0.0
self._prev_close = 0.0
self._has_prev = False
@property
def EmaPeriod(self):
return self._ema_period.Value
@EmaPeriod.setter
def EmaPeriod(self, value):
self._ema_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(aeron_jjn_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.EmaPeriod
self.SubscribeCandles(self.CandleType) \
.Bind(ema, self.ProcessCandle) \
.Start()
def ProcessCandle(self, candle, ema_value):
if candle.State != CandleStates.Finished:
return
ema_val = float(ema_value)
if self._has_prev:
prev_bull = self._prev_close > self._prev_open
prev_bear = self._prev_close < self._prev_open
curr_bull = float(candle.ClosePrice) > float(candle.OpenPrice)
curr_bear = float(candle.ClosePrice) < float(candle.OpenPrice)
if prev_bear and curr_bull and float(candle.ClosePrice) > ema_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif prev_bull and curr_bear and float(candle.ClosePrice) < ema_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_open = float(candle.OpenPrice)
self._prev_close = float(candle.ClosePrice)
self._has_prev = True
def OnReseted(self):
super(aeron_jjn_strategy, self).OnReseted()
self._prev_open = 0.0
self._prev_close = 0.0
self._has_prev = False
def CreateClone(self):
return aeron_jjn_strategy()