Bollinger Stochastic 戦略
Bollinger Stochastic は、ボリンジャーバンドとストキャスティクスオシレーターを組み合わせて、過度に伸び切った動きを識別します。 オシレーターが極端なゾーンにある状態で価格が外側のバンドに触れると、反発の可能性が示唆されます。
テストでは平均年間リターンは約133%を示しています。暗号資産市場で最も良いパフォーマンスを発揮します。
このシステムはそれらの極端な状況に逆張りし、ストキャスティクスが売られすぎの状態で価格が下側バンドに触れたときにロング、上側バンドでストキャスティクスが買われすぎの状態でショートします。
平均回帰が起こらない場合のリスクを、パーセントベースのストップで制限します。
詳細
- エントリー条件: インジケーターシグナル
- ロング/ショート: 両方
- エグジット条件: ストップロスまたは反対シグナル
- ストップ: はい、パーセントベース
- デフォルト値:
CandleType= 15 minuteStopLossPercent= 2BollingerPeriod= 20BollingerDeviation= 2StochPeriod= 14StochDPeriod= 3StochOversold= 20StochOverbought= 80 安値が下側バンドに触れ、ストキャスティクス%KがStochOversold未満なら買い、高値が上側バンドに触れ、%KがStochOverboughtを超えれば売ります。反対シグナルでドテンします。
- 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, Stochastic
- ストップ: はい
- 複雑さ: 中級
- 時間軸: イントラデイ
- 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 Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Bollinger Stochastic strategy.
/// A candle that touches the lower band while stochastic %K is below StochOversold goes long; a candle that touches the upper band
/// while %K is above StochOverbought goes short. An opposite signal reverses the position, and a percent stop limits the loss.
/// </summary>
public class BollingerStochasticStrategy : Strategy
{
private readonly StrategyParam<int> _bollingerPeriod;
private readonly StrategyParam<decimal> _bollingerDeviation;
private readonly StrategyParam<int> _stochPeriod;
private readonly StrategyParam<int> _stochDPeriod;
private readonly StrategyParam<decimal> _stochOversold;
private readonly StrategyParam<decimal> _stochOverbought;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
/// <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>
/// Lookback period of stochastic %K.
/// </summary>
public int StochPeriod
{
get => _stochPeriod.Value;
set => _stochPeriod.Value = value;
}
/// <summary>
/// Smoothing period of stochastic %D.
/// </summary>
public int StochDPeriod
{
get => _stochDPeriod.Value;
set => _stochDPeriod.Value = value;
}
/// <summary>
/// Stochastic level for longs.
/// </summary>
public decimal StochOversold
{
get => _stochOversold.Value;
set => _stochOversold.Value = value;
}
/// <summary>
/// Stochastic level for shorts.
/// </summary>
public decimal StochOverbought
{
get => _stochOverbought.Value;
set => _stochOverbought.Value = value;
}
/// <summary>
/// Stop loss percentage from entry price.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public BollingerStochasticStrategy()
{
_bollingerPeriod = Param(nameof(BollingerPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("BB Period", "Period of the Bollinger Bands", "Bollinger");
_bollingerDeviation = Param(nameof(BollingerDeviation), 2m)
.SetGreaterThanZero()
.SetDisplay("BB Deviation", "Standard deviation multiplier of the bands", "Bollinger");
_stochPeriod = Param(nameof(StochPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("Stochastic Period", "Lookback period of stochastic %K", "Stochastic");
_stochDPeriod = Param(nameof(StochDPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("Stochastic %D", "Smoothing period of stochastic %D", "Stochastic");
_stochOversold = Param(nameof(StochOversold), 20m)
.SetDisplay("Oversold Level", "Stochastic level for longs", "Stochastic");
_stochOverbought = Param(nameof(StochOverbought), 80m)
.SetDisplay("Overbought Level", "Stochastic level for shorts", "Stochastic");
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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 OnStarted2(DateTime time)
{
base.OnStarted2(time);
var bollinger = new BollingerBands { Length = BollingerPeriod, Width = BollingerDeviation };
var stochastic = new StochasticOscillator
{
K = { Length = StochPeriod },
D = { Length = StochDPeriod },
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(bollinger, stochastic, ProcessCandle)
.Start();
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
// The stop has to see prices between candles, not only at their close.
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, bollinger);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, stochastic);
}
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// The high-level handler activates native protection before this callback, also between signal bars.
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue, IIndicatorValue stochasticValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!bollingerValue.IsFormed || !stochasticValue.IsFormed)
return;
var bands = (BollingerBandsValue)bollingerValue;
var stoch = (IStochasticOscillatorValue)stochasticValue;
if (bands.UpBand is not decimal upper || bands.LowBand is not decimal lower || stoch.K is not decimal k)
return;
var signal = 0;
if (candle.LowPrice <= lower && k < StochOversold)
signal = 1;
else if (candle.HighPrice >= upper && k > StochOverbought)
signal = -1;
if (signal == 0 || !IsFormedAndOnlineAndAllowTrading())
return;
if (signal > 0 && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (signal < 0 && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
}
}
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, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import BollingerBands, StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class bollinger_stochastic_strategy(Strategy):
"""
Bollinger Stochastic strategy.
A candle that touches the lower band while stochastic %K is below StochOversold goes long; a candle that touches the upper band
while %K is above StochOverbought goes short. An opposite signal reverses the position, and a percent stop limits the loss.
"""
def __init__(self):
super(bollinger_stochastic_strategy, self).__init__()
self._bollinger_period = self.Param("BollingerPeriod", 20).SetGreaterThanZero().SetDisplay("BB Period", "Period of the Bollinger Bands", "Bollinger")
self._bollinger_deviation = self.Param("BollingerDeviation", 2.0).SetGreaterThanZero().SetDisplay("BB Deviation", "Standard deviation multiplier of the bands", "Bollinger")
self._stoch_period = self.Param("StochPeriod", 14).SetGreaterThanZero().SetDisplay("Stochastic Period", "Lookback period of stochastic %K", "Stochastic")
self._stoch_d_period = self.Param("StochDPeriod", 3).SetGreaterThanZero().SetDisplay("Stochastic %D", "Smoothing period of stochastic %D", "Stochastic")
self._stoch_oversold = self.Param("StochOversold", 20.0).SetDisplay("Oversold Level", "Stochastic level for longs", "Stochastic")
self._stoch_overbought = self.Param("StochOverbought", 80.0).SetDisplay("Overbought Level", "Stochastic level for shorts", "Stochastic")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(bollinger_stochastic_strategy, self).OnStarted2(time)
bollinger = BollingerBands()
bollinger.Length = self._bollinger_period.Value
bollinger.Width = Decimal(self._bollinger_deviation.Value)
stochastic = StochasticOscillator()
stochastic.K.Length = self._stoch_period.Value
stochastic.D.Length = self._stoch_d_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(bollinger, stochastic, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, bollinger)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, stochastic)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, bollinger_value, stochastic_value):
if candle.State != CandleStates.Finished:
return
if not bollinger_value.IsFormed or not stochastic_value.IsFormed:
return
if bollinger_value.UpBand is None or bollinger_value.LowBand is None or stochastic_value.K is None:
return
upper = bollinger_value.UpBand
lower = bollinger_value.LowBand
k = stochastic_value.K
signal = 0
if candle.LowPrice <= lower and k < Decimal(self._stoch_oversold.Value):
signal = 1
elif candle.HighPrice >= upper and k > Decimal(self._stoch_overbought.Value):
signal = -1
if signal == 0 or not self.IsFormedAndOnlineAndAllowTrading():
return
if signal > 0 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif signal < 0 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
def CreateClone(self):
return bollinger_stochastic_strategy()