Bollinger Volume 戦略
出来高確認を伴うボリンジャーバンドのブレイクアウトを利用する戦略。 出来高が増加した状態でボリンジャーバンドを上/下に価格がブレイクしたときにポジションを取ります。
テストでは年平均リターン約178%を示しています。株式市場で最もパフォーマンスが高いです。
ボリンジャーバンドはボラティリティの拡大を示し、出来高がブレイクアウトを確認します。強い活動を伴ってバンドの外側でポジションが取られます。
継続を期待するブレイクアウトトレーダーに適しています。ATRベースのストップで損失を管理可能に保ちます。
詳細
- エントリー条件:
- ロング:
Close > UpperBand && Volume > AvgVolume * VolumeMultiplier - ショート:
Close < LowerBand && Volume > AvgVolume * VolumeMultiplier
- ロング:
- ロング/ショート: 両方
- エグジット条件:
- 価格が中央バンドに戻る
- ストップ:
StopLossAtrを使用したATRベース - デフォルト値:
BollingerPeriod= 20BollingerDeviation= 2.0mVolumePeriod= 20VolumeMultiplier= 1.5mStopLossAtr= 2.0mAtrPeriod= 14CandleType= TimeSpan.FromMinutes(5).TimeFrame() AvgVolumeは直前VolumePeriod本の平均出来高です。保有ポジションと逆方向のエントリーシグナルはドテンになります。ストップはエントリー時の終値からStopLossAtr倍のATRの位置にあり、足の終値で判定します。
- フィルター:
- カテゴリ: 平均回帰
- 方向: 両方
- インジケーター: Bollinger Bands, Volume
- ストップ: はい
- 複雑さ: 中級
- 時間軸: 中期
- 季節性: いいえ
- ニューラルネットワーク: いいえ
- ダイバージェンス: いいえ
- リスクレベル: 中
using System;
using System.Collections.Generic;
using System.Linq;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Bollinger Volume strategy.
/// A close above the upper band on a candle whose volume exceeds VolumeMultiplier times the average of the previous VolumePeriod candles
/// goes long, a close below the lower band on such volume goes short, reversing an opposite position. A long closes once price returns
/// to the middle band and a short likewise. The stop lies StopLossAtr ATR from the entry close and is checked on candle closes.
/// </summary>
public class BollingerVolumeStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<int> _volumePeriod;
private readonly StrategyParam<decimal> _volumeMultiplier;
private readonly StrategyParam<decimal> _stopLossAtr;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly List<decimal> _volumes = [];
private decimal _stopPrice;
/// <summary>
/// Period of the Bollinger Bands.
/// </summary>
public int BollingerPeriod
{
get => _bollingerPeriod.Value;
set => _bollingerPeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier of the bands.
/// </summary>
public decimal BollingerDeviation
{
get => _bollingerDeviation.Value;
set => _bollingerDeviation.Value = value;
}
/// <summary>
/// Previous candles the volume is averaged over.
/// </summary>
public int VolumePeriod
{
get => _volumePeriod.Value;
set => _volumePeriod.Value = value;
}
/// <summary>
/// How many times the average volume a candle must exceed.
/// </summary>
public decimal VolumeMultiplier
{
get => _volumeMultiplier.Value;
set => _volumeMultiplier.Value = value;
}
/// <summary>
/// Stop distance from the entry in ATRs.
/// </summary>
public decimal StopLossAtr
{
get => _stopLossAtr.Value;
set => _stopLossAtr.Value = value;
}
/// <summary>
/// Period of the stop ATR.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public BollingerVolumeStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Bollinger Period", "Period of the Bollinger Bands", "Indicators");
_bollingerDeviation = Param(nameof(BollingerDeviation), 2m)
.SetGreaterThanZero()
.SetDisplay("Bollinger Deviation", "Standard deviation multiplier of the bands", "Indicators");
_volumePeriod = Param(nameof(VolumePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Volume Period", "Previous candles the volume is averaged over", "Indicators");
_volumeMultiplier = Param(nameof(VolumeMultiplier), 1.5m)
.SetGreaterThanZero()
.SetDisplay("Volume Multiplier", "How many times the average volume a candle must exceed", "Indicators");
_stopLossAtr = Param(nameof(StopLossAtr), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss ATR", "Stop distance from the entry in ATRs", "Risk");
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Period", "Period of the stop ATR", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_volumes.Clear();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_volumes.Clear();
_stopPrice = default;
var bollinger = new BollingerBands { Length = BollingerPeriod, Width = BollingerDeviation };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bollinger, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollinger);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue, IIndicatorValue atrValue)
{
if (candle.State != CandleStates.Finished)
return;
// Volume is compared with the candles before this one.
var average = _volumes.Count == VolumePeriod ? _volumes.Average() : (decimal?)null;
_volumes.Add(candle.TotalVolume);
if (_volumes.Count > VolumePeriod)
_volumes.RemoveAt(0);
if (!bollingerValue.IsFormed || !atrValue.IsFormed || average is not decimal avgVolume)
return;
var bands = (BollingerBandsValue)bollingerValue;
if (bands.UpBand is not decimal upper || bands.LowBand is not decimal lower || bands.MovingAverage is not decimal middle)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var atr = atrValue.GetValue<decimal>();
var close = candle.ClosePrice;
var surge = candle.TotalVolume > avgVolume * VolumeMultiplier;
if (close > upper && surge && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
_stopPrice = close - StopLossAtr * atr;
}
else if (close < lower && surge && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
_stopPrice = close + StopLossAtr * atr;
}
else if (Position > 0 && (close <= middle || (StopLossAtr > 0 && close <= _stopPrice)))
{
SellMarket(Position);
}
else if (Position < 0 && (close >= middle || (StopLossAtr > 0 && close >= _stopPrice)))
{
BuyMarket(-Position);
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import BollingerBands, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class bollinger_volume_strategy(Strategy):
"""
Bollinger Volume strategy.
A close above the upper band on a candle whose volume exceeds VolumeMultiplier times the average of the previous VolumePeriod candles
goes long, a close below the lower band on such volume goes short, reversing an opposite position. A long closes once price returns
to the middle band and a short likewise. The stop lies StopLossAtr ATR from the entry close and is checked on candle closes.
"""
def __init__(self):
super(bollinger_volume_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20).SetGreaterThanZero().SetDisplay("Bollinger Period", "Period of the Bollinger Bands", "Indicators")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0).SetGreaterThanZero().SetDisplay("Bollinger Deviation", "Standard deviation multiplier of the bands", "Indicators")
self._volume_period = self.Param("VolumePeriod", 20).SetGreaterThanZero().SetDisplay("Volume Period", "Previous candles the volume is averaged over", "Indicators")
self._volume_multiplier = self.Param("VolumeMultiplier", 1.5).SetGreaterThanZero().SetDisplay("Volume Multiplier", "How many times the average volume a candle must exceed", "Indicators")
self._stop_loss_atr = self.Param("StopLossAtr", 2.0).SetNotNegative().SetDisplay("Stop Loss ATR", "Stop distance from the entry in ATRs", "Risk")
self._atr_period = self.Param("AtrPeriod", 14).SetGreaterThanZero().SetDisplay("ATR Period", "Period of the stop ATR", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._reset_state()
@property
def candle_type(self):
return self._candle_type.Value
def _reset_state(self):
self._volumes = []
self._stop_price = Decimal(0)
def OnReseted(self):
super(bollinger_volume_strategy, self).OnReseted()
self._reset_state()
def OnStarted2(self, time):
super(bollinger_volume_strategy, self).OnStarted2(time)
self._reset_state()
bollinger = BollingerBands()
bollinger.Length = self._bollinger_period.Value
bollinger.Width = Decimal(self._bollinger_deviation.Value)
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(bollinger, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bollinger)
self.DrawOwnTrades(area)
def _process_candle(self, candle, bollinger_value, atr_value):
if candle.State != CandleStates.Finished:
return
# Volume is compared with the candles before this one.
period = self._volume_period.Value
average = None
if len(self._volumes) == period:
total = Decimal(0)
for volume in self._volumes:
total += volume
average = total / Decimal(period)
self._volumes.append(candle.TotalVolume)
if len(self._volumes) > period:
self._volumes.pop(0)
if not bollinger_value.IsFormed or not atr_value.IsFormed or average is None:
return
if bollinger_value.UpBand is None or bollinger_value.LowBand is None or bollinger_value.MovingAverage is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
upper = bollinger_value.UpBand
lower = bollinger_value.LowBand
middle = bollinger_value.MovingAverage
atr = atr_value.GetValue[Decimal](None)
close = candle.ClosePrice
surge = candle.TotalVolume > average * Decimal(self._volume_multiplier.Value)
stop_atr = Decimal(self._stop_loss_atr.Value)
if close > upper and surge and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._stop_price = close - stop_atr * atr
elif close < lower and surge and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._stop_price = close + stop_atr * atr
elif self.Position > 0 and (close <= middle or (stop_atr > 0 and close <= self._stop_price)):
self.SellMarket(self.Position)
elif self.Position < 0 and (close >= middle or (stop_atr > 0 and close >= self._stop_price)):
self.BuyMarket(-self.Position)
def CreateClone(self):
return bollinger_volume_strategy()