BrakeExp通道策略
该策略基于 BrakeExp 指标进行交易,该指标在价格周围构建指数通道。当价格突破动态通道边界时,指标在多空模式之间切换并生成买入或卖出信号。
工作原理
- 指标维护一条跟随价格的指数曲线。
- 当曲线位于价格下方(上升趋势)时,策略寻找买入信号。
- 当曲线位于价格上方(下降趋势)时,策略寻找卖出信号。
- 从一个模式切换到另一个模式时,会在新方向生成入场信号并平掉相反头寸。
参数
Candle Type– 处理的K线周期。Volume– 市价单的下单量。A、B– 决定BrakeExp曲线形状的参数。Buy Open/Sell Open– 是否允许开多或开空。Buy Close/Sell Close– 是否允许平空或平多。
说明
本实现仅关注BrakeExp指标的核心逻辑,不包含止损或止盈管理。如有需要,可增加额外的风险控制。
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>
/// Channel breakout strategy using EMA and price crossover.
/// </summary>
public class BrakeExpChannelStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaPeriod;
private decimal _prevClose;
private decimal _prevEma;
private bool _hasPrev;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
public BrakeExpChannelStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
_emaPeriod = Param(nameof(EmaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Period", "EMA period", "Indicators");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_prevClose = 0;
_prevEma = 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 close = candle.ClosePrice;
if (!_hasPrev)
{
_prevClose = close;
_prevEma = emaVal;
_hasPrev = true;
return;
}
var crossUp = _prevClose <= _prevEma && close > emaVal;
var crossDown = _prevClose >= _prevEma && close < emaVal;
if (crossUp && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
else if (crossDown && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_prevClose = close;
_prevEma = emaVal;
}
}
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 brake_exp_channel_strategy(Strategy):
def __init__(self):
super(brake_exp_channel_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._ema_period = self.Param("EmaPeriod", 20) \
.SetDisplay("EMA Period", "EMA period", "Indicators")
self._prev_close = 0.0
self._prev_ema = 0.0
self._has_prev = False
@property
def candle_type(self):
return self._candle_type.Value
@property
def ema_period(self):
return self._ema_period.Value
def OnReseted(self):
super(brake_exp_channel_strategy, self).OnReseted()
self._prev_close = 0.0
self._prev_ema = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(brake_exp_channel_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
close = float(candle.ClosePrice)
ev = float(ema_val)
if not self._has_prev:
self._prev_close = close
self._prev_ema = ev
self._has_prev = True
return
cross_up = self._prev_close <= self._prev_ema and close > ev
cross_down = self._prev_close >= self._prev_ema and close < ev
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_close = close
self._prev_ema = ev
def CreateClone(self):
return brake_exp_channel_strategy()