唐奇安通道反转策略
唐奇安通道标记给定周期内的最高和最低价。当价格突破这些边界后又回到通道内,往往表明行情衰竭。本策略关注短暂突破后重新收回通道的情况。
测试表明年均收益约为 157%,该策略在加密市场表现最佳。
如果前一根收盘价在下轨之外而当前收盘价重新站回通道,则做多;反之,若前一次收盘在上轨之外而价格跌回通道,则做空。两种情况下风险都由百分比止损控制。
通过仅在突破失败后进场,该方法试图捕捉快速回撤的假突破。
细节
- 入场条件:价格突破上下轨后收回唐奇安通道内。
- 多/空:双向。
- 退出条件:止损。
- 止损:是,按百分比。
- 默认值:
Period= 20StopLoss= 2%CandleType= 15 分钟
- 过滤条件:
- 类别: 反转
- 方向: 双向
- 指标: 唐奇安通道
- 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
- 风险级别: 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>
/// Donchian Reversal strategy.
/// Enters long when price bounces from the lower Donchian Channel band.
/// Enters short when price bounces from the upper Donchian Channel band.
/// Exits at middle band.
/// Uses cooldown to control trade frequency.
/// </summary>
public class DonchianReversalStrategy : Strategy
{
private readonly StrategyParam<int> _period;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevClose;
private int _cooldown;
/// <summary>
/// Donchian period.
/// </summary>
public int Period
{
get => _period.Value;
set => _period.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public DonchianReversalStrategy()
{
_period = Param(nameof(Period), 20)
.SetRange(10, 40)
.SetDisplay("Period", "Period for Donchian Channel", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevClose = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevClose = 0;
_cooldown = 0;
var donchian = new DonchianChannels { Length = Period };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(donchian, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, donchian);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue donchianIv)
{
if (candle.State != CandleStates.Finished)
return;
if (!donchianIv.IsFormed)
return;
var dv = (IDonchianChannelsValue)donchianIv;
if (dv.UpperBand is not decimal upper ||
dv.LowerBand is not decimal lower ||
dv.Middle is not decimal middle)
return;
if (_prevClose == 0)
{
_prevClose = candle.ClosePrice;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevClose = candle.ClosePrice;
return;
}
// Bounce from lower band = bullish
var bouncedFromLower = _prevClose <= lower && candle.ClosePrice > lower;
// Bounce from upper band = bearish
var bouncedFromUpper = _prevClose >= upper && candle.ClosePrice < upper;
if (Position == 0 && bouncedFromLower)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && bouncedFromUpper)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice >= middle && bouncedFromUpper)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice <= middle && bouncedFromLower)
{
BuyMarket();
_cooldown = CooldownBars;
}
_prevClose = candle.ClosePrice;
}
}
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 DonchianChannels
from StockSharp.Algo.Strategies import Strategy
class donchian_reversal_strategy(Strategy):
"""
Donchian Reversal strategy.
Enters long when price bounces from the lower Donchian Channel band.
Enters short when price bounces from the upper Donchian Channel band.
Exits at middle band.
Uses cooldown to control trade frequency.
"""
def __init__(self):
super(donchian_reversal_strategy, self).__init__()
self._period = self.Param("Period", 20).SetDisplay("Period", "Period for Donchian Channel", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_close = 0.0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(donchian_reversal_strategy, self).OnReseted()
self._prev_close = 0.0
self._cooldown = 0
def OnStarted2(self, time):
super(donchian_reversal_strategy, self).OnStarted2(time)
self._prev_close = 0.0
self._cooldown = 0
donchian = DonchianChannels()
donchian.Length = self._period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(donchian, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, donchian)
self.DrawOwnTrades(area)
def _process_candle(self, candle, donchian_iv):
if candle.State != CandleStates.Finished:
return
if not donchian_iv.IsFormed:
return
upper_val = donchian_iv.UpperBand
lower_val = donchian_iv.LowerBand
middle_val = donchian_iv.Middle
if upper_val is None or lower_val is None or middle_val is None:
return
upper = float(upper_val)
lower = float(lower_val)
middle = float(middle_val)
close = float(candle.ClosePrice)
if self._prev_close == 0:
self._prev_close = close
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_close = close
return
cd = self._cooldown_bars.Value
# Bounce from lower band = bullish
bounced_from_lower = self._prev_close <= lower and close > lower
# Bounce from upper band = bearish
bounced_from_upper = self._prev_close >= upper and close < upper
if self.Position == 0 and bounced_from_lower:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and bounced_from_upper:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0 and close >= middle and bounced_from_upper:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0 and close <= middle and bounced_from_lower:
self.BuyMarket()
self._cooldown = cd
self._prev_close = close
def CreateClone(self):
return donchian_reversal_strategy()