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OBV スロープ・ブレイクアウト戦略

OBV スロープ・ブレイクアウト戦略は、OBVの変化率を監視します。異常に急な傾きは、新しいトレンドが形成されつつあることを示唆します。

テストによると、年平均リターンは約154%です。株式市場で最もよく機能します。

傾きが標準偏差の倍数だけ典型的なレベルを超えたときにエントリーし、加速の方向にトレードを行い、保護的なストップを設定します。

早期のトレンド参入を求めるアクティブなトレーダーに向いています。傾きが通常の水準に戻ったときにポジションを手仕舞います。デフォルト LookbackPeriod = 20。

詳細

  • エントリー条件: インジケーターが偏差乗数分だけ平均を超える。
  • ロング/ショート: 両方向。
  • エグジット条件: インジケーターが平均に戻る。
  • ストップ: はい。
  • デフォルト値:
    • LookbackPeriod = 20
    • SlopeLength = 5
    • Multiplier = 2m
    • StopLoss = 2m
    • CandleType = TimeSpan.FromMinutes(5)
  • フィルター:
    • カテゴリ: ブレイクアウト
    • 方向: 両方
    • インジケーター: OBV
    • ストップ: はい
    • 複雑さ: 中級
    • 時間軸: 短期
    • 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 Ecng.Common;

using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Strategy based on OBV slope breakout with EMA direction filter.
/// Opens positions when OBV slope deviates from its recent average and price confirms the direction relative to EMA.
/// </summary>
public class ObvSlopeBreakoutStrategy : Strategy
{
	private readonly StrategyParam<int> _lookbackPeriod;
	private readonly StrategyParam<decimal> _multiplier;
	private readonly StrategyParam<decimal> _stopLoss;
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _emaPeriod;
	private readonly StrategyParam<int> _cooldownBars;

	private OnBalanceVolume _obv;
	private ExponentialMovingAverage _ema;
	private decimal _prevObvValue;
	private decimal _currentSlope;
	private decimal _avgSlope;
	private decimal _stdDevSlope;
	private decimal[] _slopes;
	private int _currentIndex;
	private int _filledCount;
	private int _cooldown;
	private bool _isInitialized;

	/// <summary>
	/// Lookback period for slope statistics calculation.
	/// </summary>
	public int LookbackPeriod
	{
		get => _lookbackPeriod.Value;
		set => _lookbackPeriod.Value = value;
	}

	/// <summary>
	/// Standard deviation multiplier for breakout detection.
	/// </summary>
	public decimal Multiplier
	{
		get => _multiplier.Value;
		set => _multiplier.Value = value;
	}

	/// <summary>
	/// Stop-loss as a percentage of entry price.
	/// </summary>
	public decimal StopLoss
	{
		get => _stopLoss.Value;
		set => _stopLoss.Value = value;
	}

	/// <summary>
	/// Type of candles to use in the strategy.
	/// </summary>
	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	/// <summary>
	/// EMA period for trend confirmation.
	/// </summary>
	public int EmaPeriod
	{
		get => _emaPeriod.Value;
		set => _emaPeriod.Value = value;
	}

	/// <summary>
	/// Cooldown bars between orders.
	/// </summary>
	public int CooldownBars
	{
		get => _cooldownBars.Value;
		set => _cooldownBars.Value = value;
	}

	/// <summary>
	/// Initializes a new instance of <see cref="ObvSlopeBreakoutStrategy"/>.
	/// </summary>
	public ObvSlopeBreakoutStrategy()
	{
		_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("Lookback Period", "Period for calculating average and standard deviation of OBV slope", "Strategy Parameters")
			.SetOptimize(10, 50, 5);

		_multiplier = Param(nameof(Multiplier), 1.5m)
			.SetGreaterThanZero()
			.SetDisplay("Std Dev Multiplier", "Multiplier for standard deviation to determine breakout threshold", "Strategy Parameters")
			.SetOptimize(1m, 3m, 0.5m);

		_stopLoss = Param(nameof(StopLoss), 2m)
			.SetGreaterThanZero()
			.SetDisplay("Stop Loss %", "Stop-loss as a percentage of entry price", "Risk Management");

		_emaPeriod = Param(nameof(EmaPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("EMA Period", "Period for EMA trend confirmation", "Indicator Parameters");

		_cooldownBars = Param(nameof(CooldownBars), 1200)
			.SetRange(1, 5000)
			.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management");

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use in the strategy", "General");
	}

	/// <inheritdoc />
	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
	{
		return [(Security, CandleType)];
	}

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_obv = null;
		_ema = null;
		_prevObvValue = default;
		_currentSlope = default;
		_avgSlope = default;
		_stdDevSlope = default;
		_currentIndex = default;
		_filledCount = default;
		_cooldown = default;
		_isInitialized = default;
		_slopes = new decimal[LookbackPeriod];
	}

	/// <inheritdoc />
	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		_obv = new OnBalanceVolume();
		_ema = new ExponentialMovingAverage { Length = EmaPeriod };
		_slopes = new decimal[LookbackPeriod];
		_cooldown = 0;

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(_obv, _ema, ProcessObv)
			.Start();

		StartProtection(new(), new Unit(StopLoss, UnitTypes.Percent));

		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawIndicator(area, _ema);
			DrawIndicator(area, _obv);
			DrawOwnTrades(area);
		}
	}

	private void ProcessObv(ICandleMessage candle, decimal obvValue, decimal emaValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		if (!_obv.IsFormed || !_ema.IsFormed)
			return;

		if (!_isInitialized)
		{
			_prevObvValue = obvValue;
			_isInitialized = true;
			return;
		}

		_currentSlope = obvValue - _prevObvValue;
		_prevObvValue = obvValue;

		_slopes[_currentIndex] = _currentSlope;
		_currentIndex = (_currentIndex + 1) % LookbackPeriod;

		if (_filledCount < LookbackPeriod)
			_filledCount++;

		if (_filledCount < LookbackPeriod)
			return;

		CalculateStatistics();

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		if (_stdDevSlope <= 0)
			return;

		if (_cooldown > 0)
		{
			_cooldown--;
			return;
		}

		var upperThreshold = _avgSlope + Multiplier * _stdDevSlope;
		var lowerThreshold = _avgSlope - Multiplier * _stdDevSlope;
		var closePrice = candle.ClosePrice;
		var priceAboveEma = closePrice > emaValue;
		var priceBelowEma = closePrice < emaValue;

		if (Position == 0)
		{
			if (_currentSlope > upperThreshold && priceAboveEma)
			{
				BuyMarket();
				_cooldown = CooldownBars;
			}
			else if (_currentSlope < lowerThreshold && priceBelowEma)
			{
				SellMarket();
				_cooldown = CooldownBars;
			}
		}
		else if (Position > 0)
		{
			if (_currentSlope <= _avgSlope || priceBelowEma)
			{
				SellMarket(Math.Abs(Position));
				_cooldown = CooldownBars;
			}
		}
		else if (Position < 0)
		{
			if (_currentSlope >= _avgSlope || priceAboveEma)
			{
				BuyMarket(Math.Abs(Position));
				_cooldown = CooldownBars;
			}
		}
	}

	private void CalculateStatistics()
	{
		_avgSlope = 0;
		var sumSquaredDiffs = 0m;

		for (var i = 0; i < LookbackPeriod; i++)
			_avgSlope += _slopes[i];

		_avgSlope /= LookbackPeriod;

		for (var i = 0; i < LookbackPeriod; i++)
		{
			var diff = _slopes[i] - _avgSlope;
			sumSquaredDiffs += diff * diff;
		}

		_stdDevSlope = (decimal)Math.Sqrt((double)(sumSquaredDiffs / LookbackPeriod));
	}
}