Stochastic Hook Reversal 戦略
Stochastic Hook Reversal戦略は、%Kラインが買われすぎまたは売られすぎの領域からフックする動きを監視します。極端な水準に達した後、オシレーターはしばしば戻るように曲がり、モメンタムが弱まっていることを示します。
テストでは平均年間リターンが約166%であることが示されています。株式市場で最もパフォーマンスが優れています。
%Kが20以下から上向きに転じ、価格が新安値を押す場合にロングエントリーします。価格が最後の上昇を見せている間に%Kが80以上から下向きにフックする場合にショートエントリーします。
ポジションは小さなパーセントストップを使用し、ストキャスティクスが反対方向にフックするかストップに達したときにクローズします。
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逆シグナル
- ストップ: はい、パーセントベース
- デフォルト値:
CandleType= 15分KPeriod= 14DPeriod= 3OversoldLevel= 20OverboughtLevel= 80StopLossPercent= 2
- フィルター:
- カテゴリ: リバーサル
- 方向: 両方
- インジケーター: 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>
/// Stochastic Hook Reversal strategy.
/// A long opens when %K was below the oversold level on the previous candle and turns up while the low makes a new low
/// against the previous candle; a short opens when it was above the overbought level and turns down while the high makes a new high.
/// The position closes when %K turns the other way, reversing on the opposite signal, and a percent stop limits the loss.
/// </summary>
public class StochasticHookReversalStrategy : Strategy
{
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<int> _oversoldLevel;
private readonly StrategyParam<int> _overboughtLevel;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevValue;
private decimal _prevHigh;
private decimal _prevLow;
/// <summary>
/// Period for %K.
/// </summary>
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
/// <summary>
/// Period for %D.
/// </summary>
public int DPeriod
{
get => _dPeriod.Value;
set => _dPeriod.Value = value;
}
/// <summary>
/// %K level of the oversold zone.
/// </summary>
public int OversoldLevel
{
get => _oversoldLevel.Value;
set => _oversoldLevel.Value = value;
}
/// <summary>
/// %K level of the overbought zone.
/// </summary>
public int OverboughtLevel
{
get => _overboughtLevel.Value;
set => _overboughtLevel.Value = value;
}
/// <summary>
/// Stop-loss percentage.
/// </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 StochasticHookReversalStrategy()
{
_kPeriod = Param(nameof(KPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("K Period", "Period for %K", "Indicators");
_dPeriod = Param(nameof(DPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("D Period", "Period for %D", "Indicators");
_oversoldLevel = Param(nameof(OversoldLevel), 20)
.SetDisplay("Oversold Level", "%K level of the oversold zone", "Levels");
_overboughtLevel = Param(nameof(OverboughtLevel), 80)
.SetDisplay("Overbought Level", "%K level of the overbought zone", "Levels");
_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 OnReseted()
{
base.OnReseted();
_prevValue = null;
_prevHigh = default;
_prevLow = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevValue = null;
_prevHigh = default;
_prevLow = default;
var oscillator = new StochasticOscillator
{
K = { Length = KPeriod },
D = { Length = DPeriod },
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(oscillator, 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, oscillator);
DrawOwnTrades(area);
}
}
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 value)
{
if (candle.State != CandleStates.Finished || !value.IsFormed || value.IsEmpty || value is not IStochasticOscillatorValue { K: decimal k })
return;
var current = k;
var previous = _prevValue;
var prevHigh = _prevHigh;
var prevLow = _prevLow;
_prevValue = current;
_prevHigh = candle.HighPrice;
_prevLow = candle.LowPrice;
if (previous is not decimal last || !IsFormedAndOnlineAndAllowTrading())
return;
var hooksUp = current > last;
var hooksDown = current < last;
var longSignal = last < OversoldLevel && hooksUp && candle.LowPrice < prevLow;
var shortSignal = last > OverboughtLevel && hooksDown && candle.HighPrice > prevHigh;
if (Position > 0)
{
if (hooksDown)
SellMarket(shortSignal ? Volume + Position : Position);
}
else if (Position < 0)
{
if (hooksUp)
BuyMarket(longSignal ? Volume - Position : -Position);
}
else if (longSignal)
{
BuyMarket(Volume);
}
else if (shortSignal)
{
SellMarket(Volume);
}
}
}
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 StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class stochastic_hook_reversal_strategy(Strategy):
"""
Stochastic Hook Reversal strategy.
A long opens when %K was below the oversold level on the previous candle and turns up while the low makes a new low
against the previous candle; a short opens when it was above the overbought level and turns down while the high makes a new high.
The position closes when %K turns the other way, reversing on the opposite signal, and a percent stop limits the loss.
"""
def __init__(self):
super(stochastic_hook_reversal_strategy, self).__init__()
self._k_period = self.Param("KPeriod", 14).SetGreaterThanZero().SetDisplay("K Period", "Period for %K", "Indicators")
self._d_period = self.Param("DPeriod", 3).SetGreaterThanZero().SetDisplay("D Period", "Period for %D", "Indicators")
self._oversold_level = self.Param("OversoldLevel", 20).SetDisplay("Oversold Level", "%K level of the oversold zone", "Levels")
self._overbought_level = self.Param("OverboughtLevel", 80).SetDisplay("Overbought Level", "%K level of the overbought zone", "Levels")
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")
self._prev_value = None
self._prev_high = Decimal(0)
self._prev_low = Decimal(0)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(stochastic_hook_reversal_strategy, self).OnReseted()
self._prev_value = None
self._prev_high = Decimal(0)
self._prev_low = Decimal(0)
def OnStarted2(self, time):
super(stochastic_hook_reversal_strategy, self).OnStarted2(time)
self._prev_value = None
self._prev_high = Decimal(0)
self._prev_low = Decimal(0)
oscillator = StochasticOscillator()
oscillator.K.Length = self._k_period.Value
oscillator.D.Length = self._d_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(oscillator, 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, oscillator)
self.DrawOwnTrades(area)
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, value):
if candle.State != CandleStates.Finished or not value.IsFormed or value.IsEmpty or value.K is None:
return
current = value.K
previous = self._prev_value
prev_high = self._prev_high
prev_low = self._prev_low
self._prev_value = current
self._prev_high = candle.HighPrice
self._prev_low = candle.LowPrice
if previous is None or not self.IsFormedAndOnlineAndAllowTrading():
return
hooks_up = current > previous
hooks_down = current < previous
long_signal = previous < Decimal(self._oversold_level.Value) and hooks_up and candle.LowPrice < prev_low
short_signal = previous > Decimal(self._overbought_level.Value) and hooks_down and candle.HighPrice > prev_high
if self.Position > 0:
if hooks_down:
self.SellMarket(self.Volume + self.Position if short_signal else self.Position)
elif self.Position < 0:
if hooks_up:
self.BuyMarket(self.Volume - self.Position if long_signal else -self.Position)
elif long_signal:
self.BuyMarket(self.Volume)
elif short_signal:
self.SellMarket(self.Volume)
def CreateClone(self):
return stochastic_hook_reversal_strategy()