E TurboFx 策略
基于 MQL5 专家顾问“e-TurboFx”的 StockSharp 实现。策略监控同方向蜡烛实体逐渐增大的序列。当出现多根实体不断增大的阴线时买入,预期价格反转;当出现多根实体不断增大的阳线时卖出。止损和止盈以价格点数形式设置,可选。
细节
- 入场条件:
- 多头:连续
N根阴线且每根实体都大于前一根 - 空头:连续
N根阳线且每根实体都大于前一根
- 多头:连续
- 多空方向:双向
- 离场条件:止损或止盈
- 止损/止盈:通过
StartProtection以点数设置 - 默认值:
BarsCount= 3StopLossPoints= 700TakeProfitPoints= 1200CandleType= TimeSpan.FromMinutes(1).TimeFrame()
- 过滤器:
- 分类:Price Action
- 方向:双向
- 指标:无
- 止损:有
- 复杂度:基础
- 时间框架:日内
- 季节性:无
- 神经网络:无
- 背离:无
- 风险水平:中等
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>
/// Reversal candle pattern strategy with EMA filter.
/// </summary>
public class ETurboFxStrategy : Strategy
{
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private int _bearCount;
private int _bullCount;
private decimal _prevBody;
private bool _hasPrev;
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ETurboFxStrategy()
{
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA trend filter period", "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();
_bearCount = 0;
_bullCount = 0;
_prevBody = 0;
_hasPrev = false;
}
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 emaVal)
{
if (candle.State != CandleStates.Finished) return;
var body = Math.Abs(candle.ClosePrice - candle.OpenPrice);
if (candle.ClosePrice < candle.OpenPrice)
{
_bearCount++;
if (_hasPrev && body > _prevBody)
_bearCount = Math.Min(_bearCount, 10);
else
_bearCount = 1;
_bullCount = 0;
}
else if (candle.ClosePrice > candle.OpenPrice)
{
_bullCount++;
if (_hasPrev && body > _prevBody)
_bullCount = Math.Min(_bullCount, 10);
else
_bullCount = 1;
_bearCount = 0;
}
else
{
_bearCount = 0;
_bullCount = 0;
}
_prevBody = body;
_hasPrev = true;
// Buy reversal after 3 bearish candles when price above EMA
if (_bearCount >= 3 && candle.ClosePrice > emaVal && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
// Sell reversal after 3 bullish candles when price below EMA
else if (_bullCount >= 3 && candle.ClosePrice < emaVal && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
}
}
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 e_turbo_fx_strategy(Strategy):
def __init__(self):
super(e_turbo_fx_strategy, self).__init__()
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA trend filter period", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._bear_count = 0
self._bull_count = 0
self._prev_body = 0.0
self._has_prev = False
@property
def ema_period(self):
return self._ema_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(e_turbo_fx_strategy, self).OnReseted()
self._bear_count = 0
self._bull_count = 0
self._prev_body = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(e_turbo_fx_strategy, self).OnStarted2(time)
ema = ExponentialMovingAverage()
ema.Length = self.ema_period
self.SubscribeCandles(self.candle_type).Bind(ema, self.process_candle).Start()
def process_candle(self, candle, ema_val):
if candle.State != CandleStates.Finished:
return
body = abs(float(candle.ClosePrice) - float(candle.OpenPrice))
if float(candle.ClosePrice) < float(candle.OpenPrice):
self._bear_count += 1
if self._has_prev and body > self._prev_body:
self._bear_count = min(self._bear_count, 10)
else:
self._bear_count = 1
self._bull_count = 0
elif float(candle.ClosePrice) > float(candle.OpenPrice):
self._bull_count += 1
if self._has_prev and body > self._prev_body:
self._bull_count = min(self._bull_count, 10)
else:
self._bull_count = 1
self._bear_count = 0
else:
self._bear_count = 0
self._bull_count = 0
self._prev_body = body
self._has_prev = True
ev = float(ema_val)
close = float(candle.ClosePrice)
if self._bear_count >= 3 and close > ev and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
elif self._bull_count >= 3 and close < ev and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
def CreateClone(self):
return e_turbo_fx_strategy()