Bollinger Volatility Breakout
策略使用已完成的5分钟K线,等待指标形成并允许交易。所有滚动统计都包含信号K线。C为收盘价,M = SMA(C, 20),D = 总体标准差(C, 20),U = M + 2 × D,L = M − 2 × D,A = ATR(14),采用Wilder平滑真实波幅。
高波动条件为 A >= SMA(A, 14) + 2 × 总体标准差(A, 14)。价格水平对应布林带的上轨、中轨和下轨。
空仓时,高波动条件成立且 C >= U 则买入,成立且 C <= L 则卖出。开仓数量为 Volume。只有冷却期结束且没有待成交订单时才能再次开仓。 开仓要求 A > 0。
k = StopLossMultiplier. 开仓时固定信号K线的收盘价及ATR:多头止损为 C_entry − k × A_entry,空头止损为 C_entry + k × A_entry。每根K线完成后,如果收盘价达到固定止损,多头满足 C <= M,空头满足 C >= M,或高波动条件失效,则用市价单平掉全部实际持仓。
每次下单后的接下来84根完整K线禁止新开仓;冷却期间仍检查全部退出条件。止损在K线收盘时检查,市价单按可成交价格执行。持仓期间止损距离保持固定。不设置止盈或移动止损。
默认参数
BollingerPeriod = 20
BollingerDeviation = 2
AtrPeriod = 14
AtrDeviationMultiplier = 2
StopLossMultiplier = 2
CooldownBars = 84
CandleType = TimeSpan.FromMinutes(5).TimeFrame()
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Breakout strategy that trades Bollinger band breaks only when ATR expands beyond its recent regime.
/// </summary>
public class BollingerVolatilityBreakoutStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<decimal> _atrDeviationMultiplier;
private readonly StrategyParam<decimal> _stopLossMultiplier;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private BollingerBands _bollingerBands;
private AverageTrueRange _atr;
private SimpleMovingAverage _atrSma;
private StandardDeviation _atrStdDev;
private decimal _stopPrice;
private Order _pendingOrder;
private int _cooldown;
/// <summary>
/// Period for Bollinger bands calculation.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier for Bollinger bands.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Period for ATR calculation.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// ATR standard deviation multiplier used for volatility confirmation.
/// </summary>
public decimal AtrDeviationMultiplier
{
get => _atrDeviationMultiplier.Value;
set => _atrDeviationMultiplier.Value = value;
}
/// <summary>
/// ATR multiplier used for stop distance.
/// </summary>
public decimal StopLossMultiplier
{
get => _stopLossMultiplier.Value;
set => _stopLossMultiplier.Value = value;
}
/// <summary>
/// Bars to wait after each order.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public BollingerVolatilityBreakoutStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetRange(5, 100)
.SetDisplay("Bollinger Period", "Period for Bollinger band calculation", "Indicators");
_bollingerDeviation = Param(nameof(BollingerDeviation), 2m)
.SetRange(0.5m, 5m)
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier for Bollinger bands", "Indicators");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetRange(5, 50)
.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators");
_atrDeviationMultiplier = Param(nameof(AtrDeviationMultiplier), 2m)
.SetRange(0.1m, 5m)
.SetDisplay("ATR Deviation Multiplier", "ATR regime threshold multiplier", "Signals");
_stopLossMultiplier = Param(nameof(StopLossMultiplier), 2m)
.SetRange(0.5m, 10m)
.SetDisplay("Stop Loss Multiplier", "ATR multiplier used for stop distance", "Risk");
_cooldownBars = Param(nameof(CooldownBars), 84)
.SetRange(1, 500)
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for the strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
if (Security != null)
yield return (Security, CandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_bollingerBands = null;
_atr = null;
_atrSma = null;
_atrStdDev = null;
_stopPrice = 0m;
_pendingOrder = null;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (Security == null)
throw new InvalidOperationException("Security is not specified.");
_bollingerBands = new BollingerBands
{
Length = BollingerPeriod,
Width = BollingerDeviation,
};
_atr = new AverageTrueRange { Length = AtrPeriod };
_atrSma = new SimpleMovingAverage { Length = AtrPeriod };
_atrStdDev = new StandardDeviation { Length = AtrPeriod };
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_bollingerBands, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _bollingerBands);
DrawIndicator(area, _atr);
DrawOwnTrades(area);
}
}
private bool IsOrderPending => _pendingOrder is not null && _pendingOrder.State is not (OrderStates.Done or OrderStates.Failed);
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue)
{
if (candle.State != CandleStates.Finished)
return;
var typedBands = (BollingerBandsValue)bollingerValue;
if (typedBands.UpBand is not decimal upperBand ||
typedBands.LowBand is not decimal lowerBand ||
typedBands.MovingAverage is not decimal middleBand)
return;
var atrValue = _atr.Process(candle).ToDecimal();
var atrAverageValue = _atrSma.Process(atrValue, candle.OpenTime, true).ToDecimal();
var atrStdDevValue = _atrStdDev.Process(atrValue, candle.OpenTime, true).ToDecimal();
if (!_bollingerBands.IsFormed || !_atr.IsFormed || !_atrSma.IsFormed || !_atrStdDev.IsFormed)
return;
var isCoolingDown = _cooldown > 0;
if (isCoolingDown)
_cooldown--;
if (!IsFormedAndOnlineAndAllowTrading() || IsOrderPending)
return;
var volatilityThreshold = atrAverageValue + AtrDeviationMultiplier * atrStdDevValue;
var isHighVolatility = atrValue >= volatilityThreshold;
var price = candle.ClosePrice;
if (Position == 0)
{
if (isCoolingDown || !isHighVolatility || atrValue <= 0m)
return;
if (price >= upperBand)
{
_stopPrice = price - atrValue * StopLossMultiplier;
_pendingOrder = BuyMarket();
_cooldown = CooldownBars;
}
else if (price <= lowerBand)
{
_stopPrice = price + atrValue * StopLossMultiplier;
_pendingOrder = SellMarket();
_cooldown = CooldownBars;
}
return;
}
if (Position > 0)
{
if (price <= middleBand || !isHighVolatility || price <= _stopPrice)
{
_pendingOrder = SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
if (price >= middleBand || !isHighVolatility || price >= _stopPrice)
{
_pendingOrder = BuyMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates, OrderStates
from StockSharp.Algo.Indicators import BollingerBands, AverageTrueRange, SimpleMovingAverage, StandardDeviation, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class bollinger_volatility_breakout_strategy(Strategy):
"""
Breakout strategy that trades Bollinger band breaks only when ATR expands
beyond its recent regime.
"""
def __init__(self):
super(bollinger_volatility_breakout_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20) \
.SetDisplay("Bollinger Period", "Period for Bollinger band calculation", "Indicators")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0) \
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier for Bollinger bands", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14) \
.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators")
self._atr_deviation_multiplier = self.Param("AtrDeviationMultiplier", 2.0) \
.SetDisplay("ATR Deviation Multiplier", "ATR regime threshold multiplier", "Signals")
self._stop_loss_multiplier = self.Param("StopLossMultiplier", 2.0) \
.SetDisplay("Stop Loss Multiplier", "ATR multiplier used for stop distance", "Risk")
self._cooldown_bars = self.Param("CooldownBars", 84) \
.SetDisplay("Cooldown Bars", "Bars to wait after each order", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles for the strategy", "General")
self._bollinger_bands = None
self._atr = None
self._atr_sma = None
self._atr_std_dev = None
self._stop_price = 0.0
self._pending_order = None
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(bollinger_volatility_breakout_strategy, self).OnReseted()
self._bollinger_bands = None
self._atr = None
self._atr_sma = None
self._atr_std_dev = None
self._stop_price = 0.0
self._pending_order = None
self._cooldown = 0
def OnStarted2(self, time):
super(bollinger_volatility_breakout_strategy, self).OnStarted2(time)
atr_period = int(self._atr_period.Value)
self._bollinger_bands = BollingerBands()
self._bollinger_bands.Length = int(self._bollinger_period.Value)
self._bollinger_bands.Width = Decimal(self._bollinger_deviation.Value)
self._atr = AverageTrueRange()
self._atr.Length = atr_period
self._atr_sma = SimpleMovingAverage()
self._atr_sma.Length = atr_period
self._atr_std_dev = StandardDeviation()
self._atr_std_dev.Length = atr_period
self._cooldown = 0
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._bollinger_bands, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._bollinger_bands)
self.DrawIndicator(area, self._atr)
self.DrawOwnTrades(area)
@property
def _is_order_pending(self):
return self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed)
def _process_candle(self, candle, bollinger_value):
if candle.State != CandleStates.Finished:
return
up_band = bollinger_value.UpBand
low_band = bollinger_value.LowBand
moving_avg = bollinger_value.MovingAverage
if up_band is None or low_band is None or moving_avg is None:
return
upper_band = float(up_band)
lower_band = float(low_band)
middle_band = float(moving_avg)
atr_result = self._atr.Process(CandleIndicatorValue(self._atr, candle))
atr_value = float(atr_result)
atr_average_value = float(process_float(self._atr_sma, Decimal(atr_value), candle.OpenTime, True))
atr_std_dev_value = float(process_float(self._atr_std_dev, Decimal(atr_value), candle.OpenTime, True))
if not self._bollinger_bands.IsFormed or not self._atr.IsFormed or not self._atr_sma.IsFormed or not self._atr_std_dev.IsFormed:
return
is_cooling_down = self._cooldown > 0
if is_cooling_down:
self._cooldown -= 1
if not self.IsFormedAndOnlineAndAllowTrading() or self._is_order_pending:
return
adm = float(self._atr_deviation_multiplier.Value)
volatility_threshold = atr_average_value + adm * atr_std_dev_value
is_high_volatility = atr_value >= volatility_threshold
price = float(candle.ClosePrice)
cd = int(self._cooldown_bars.Value)
slm = float(self._stop_loss_multiplier.Value)
if self.Position == 0:
if is_cooling_down or not is_high_volatility or atr_value <= 0:
return
if price >= upper_band:
self._stop_price = price - atr_value * slm
self._pending_order = self.BuyMarket()
self._cooldown = cd
elif price <= lower_band:
self._stop_price = price + atr_value * slm
self._pending_order = self.SellMarket()
self._cooldown = cd
return
if self.Position > 0:
if price <= middle_band or not is_high_volatility or price <= self._stop_price:
self._pending_order = self.SellMarket(Math.Abs(self.Position))
self._cooldown = cd
elif self.Position < 0:
if price >= middle_band or not is_high_volatility or price >= self._stop_price:
self._pending_order = self.BuyMarket(Math.Abs(self.Position))
self._cooldown = cd
def CreateClone(self):
return bollinger_volatility_breakout_strategy()