布林回归
该策略在价格收于布林带外时逆势入场,待价格回到带内或触及止损后离场。布林带作为标准差通道揭示过度延伸,期望利用价格回归中轨的过程获利。
测试表明年均收益约为 118%,该策略在股票市场表现最佳。
详情
- 入场条件: 基于 RSI、ATR、Bollinger 的信号
- 多空方向: 双向
- 退出条件: 反向信号或止损
- 止损: 是
- 默认值:
BollingerPeriod= 20BollingerDeviation= 2mAtrMultiplier= 2mCandleType= TimeSpan.FromMinutes(5)
- 过滤器:
- 类型: 均值回归
- 方向: 双向
- 指标: RSI, ATR, Bollinger
- 止损: 是
- 复杂度: 基础
- 时间框架: 日内 (5m)
- 季节性: 无
- 神经网络: 无
- 背离: 无
- 风险等级: 中
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>
/// Strategy based on Bollinger Bands mean reversion.
/// Enters when price touches bands, exits when price returns to middle.
/// </summary>
public class BollingerReversionStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<int> _maxHoldBars;
private int _cooldown;
private int _holdBars;
/// <summary>
/// Bollinger Bands period.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Bollinger Bands deviation multiplier.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Maximum bars to hold position before forced exit.
/// </summary>
public int MaxHoldBars
{
get => _maxHoldBars.Value;
set => _maxHoldBars.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="BollingerReversionStrategy"/>.
/// </summary>
public BollingerReversionStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetRange(5, 50)
.SetDisplay("Bollinger Period", "Period for Bollinger Bands calculation", "Indicators")
;
_bollingerDeviation = Param(nameof(BollingerDeviation), 2.0m)
.SetRange(0.5m, 4m)
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier for Bollinger Bands", "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", "Number of bars to wait between trades", "General");
_maxHoldBars = Param(nameof(MaxHoldBars), 300)
.SetRange(1, 1000)
.SetDisplay("Max Hold Bars", "Maximum bars to hold a position", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_cooldown = default;
_holdBars = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_cooldown = 0;
_holdBars = 0;
var bollingerBands = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bollingerBands, ProcessCandle)
.Start();
// Setup chart visualization
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollingerBands);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!bollingerValue.IsFormed)
return;
// Track hold duration
if (Position != 0)
_holdBars++;
else
_holdBars = 0;
if (_cooldown > 0)
{
_cooldown--;
return;
}
var bb = (BollingerBandsValue)bollingerValue;
if (bb.UpBand is not decimal upper ||
bb.LowBand is not decimal lower ||
bb.MovingAverage is not decimal middle)
return;
var close = candle.ClosePrice;
// Exit logic: revert to middle or time-based forced exit
if (Position > 0 && (close >= middle || _holdBars >= MaxHoldBars))
{
SellMarket();
_cooldown = CooldownBars;
_holdBars = 0;
return;
}
if (Position < 0 && (close <= middle || _holdBars >= MaxHoldBars))
{
BuyMarket();
_cooldown = CooldownBars;
_holdBars = 0;
return;
}
// Entry logic - buy below lower band, sell above upper band
if (Position == 0 && close < lower)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && close > upper)
{
SellMarket();
_cooldown = CooldownBars;
}
}
}
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 BollingerBands
from StockSharp.Algo.Strategies import Strategy
class bollinger_reversion_strategy(Strategy):
"""
Bollinger Bands mean reversion strategy.
Enters when price touches bands, exits when price returns to middle.
"""
def __init__(self):
super(bollinger_reversion_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20).SetDisplay("Bollinger Period", "Period for Bollinger Bands calculation", "Indicators")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0).SetDisplay("Bollinger Deviation", "Standard deviation multiplier for Bollinger Bands", "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", "Number of bars to wait between trades", "General")
self._max_hold_bars = self.Param("MaxHoldBars", 300).SetDisplay("Max Hold Bars", "Maximum bars to hold a position", "General")
self._cooldown = 0
self._hold_bars = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bollinger_reversion_strategy, self).OnReseted()
self._cooldown = 0
self._hold_bars = 0
def OnStarted2(self, time):
super(bollinger_reversion_strategy, self).OnStarted2(time)
self._cooldown = 0
self._hold_bars = 0
bb = BollingerBands()
bb.Length = self._bollinger_period.Value
bb.Width = self._bollinger_deviation.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(bb, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bb)
self.DrawOwnTrades(area)
def _process_candle(self, candle, bb_val):
if candle.State != CandleStates.Finished:
return
if not bb_val.IsFormed:
return
# Track hold duration
if self.Position != 0:
self._hold_bars += 1
else:
self._hold_bars = 0
if self._cooldown > 0:
self._cooldown -= 1
return
if bb_val.UpBand is None or bb_val.LowBand is None or bb_val.MovingAverage is None:
return
upper = float(bb_val.UpBand)
lower = float(bb_val.LowBand)
middle = float(bb_val.MovingAverage)
close = float(candle.ClosePrice)
max_hold = self._max_hold_bars.Value
cd = self._cooldown_bars.Value
# Exit logic: revert to middle or time-based forced exit
if self.Position > 0 and (close >= middle or self._hold_bars >= max_hold):
self.SellMarket()
self._cooldown = cd
self._hold_bars = 0
return
if self.Position < 0 and (close <= middle or self._hold_bars >= max_hold):
self.BuyMarket()
self._cooldown = cd
self._hold_bars = 0
return
# Entry logic
if self.Position == 0 and close < lower:
self.BuyMarket()
self._cooldown = cd
elif self.Position == 0 and close > upper:
self.SellMarket()
self._cooldown = cd
def CreateClone(self):
return bollinger_reversion_strategy()