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Estratégia Vwap Stochastic

Estratégia que combina os indicadores VWAP e Stochastic. Compra quando o preço está abaixo do VWAP e o Stochastic está sobrevendido. Vende quando o preço está acima do VWAP e o Stochastic está sobrecomprado.

Os testes indicam um retorno anual médio de aproximadamente 187%. Funciona melhor no mercado de ações.

O VWAP marca o nível médio de negociação e o Stochastic mostra condições de sobrecompra ou sobrevenda. Os comprados são acionados abaixo do VWAP com um oscilador em alta, os vendidos acima do VWAP com um em queda.

Traders intradiários que observam níveis de valor intradiário podem se beneficiar deste estilo. Os stops são colocados a uma porcentagem fixa do preço de entrada.

Detalhes

  • Critérios de entrada:
    • Comprado: Close < VWAP && StochK < OversoldLevel
    • Vendido: Close > VWAP && StochK > OverboughtLevel
  • Comprado/Vendido: Ambos
  • Critérios de saída:
    • Comprado: Close > VWAP
    • Vendido: Close < VWAP
  • Stops: Baseado em percentual usando StopLossPercent
  • Valores padrão:
    • StochPeriod = 14
    • StochKPeriod = 3
    • OverboughtLevel = 80m
    • OversoldLevel = 20m
    • StopLossPercent = 2m
    • CandleType = TimeSpan.FromMinutes(5).TimeFrame() O mercado negocia 24 horas, por isso o VWAP da sessão reinicia a cada dia UTC e pondera o preço típico de cada candle pelo seu volume. StochK nas regras é o %K: o estocástico de StochPeriod candles suavizado em StochKPeriod candles; o %D não participa, por isso não tem ajuste. Um sinal de entrada contra uma posição aberta a inverte.
  • Filtros:
    • Categoria: Reversão à média
    • Direção: Ambos
    • Indicadores: VWAP, Stochastic Oscillator
    • Stops: Sim
    • Complexidade: Intermediário
    • Período: Médio prazo
    • Sazonalidade: Não
    • Redes neurais: Não
    • Divergência: Não
    • Nível de risco: Médio
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>
/// VWAP Stochastic strategy.
/// The market trades around the clock, so the session VWAP restarts with each UTC day and weighs each candle's typical price by its volume.
/// A close below VWAP with %K below OversoldLevel goes long and a close above VWAP with %K above OverboughtLevel goes short, reversing
/// an opposite position; %K is the stochastic over StochPeriod candles smoothed over StochKPeriod candles. A long closes above VWAP
/// and a short below it, and a percent stop limits the loss.
/// </summary>
public class VwapStochasticStrategy : Strategy
{
	private readonly StrategyParam<int> _stochPeriod;
	private readonly StrategyParam<int> _stochKPeriod;
	private readonly StrategyParam<decimal> _overboughtLevel;
	private readonly StrategyParam<decimal> _oversoldLevel;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<DataType> _candleType;

	private DateTime? _day;
	private decimal _cumulativePriceVolume;
	private decimal _cumulativeVolume;

	/// <summary>
	/// Lookback period of the raw stochastic.
	/// </summary>
	public int StochPeriod
	{
		get => _stochPeriod.Value;
		set => _stochPeriod.Value = value;
	}

	/// <summary>
	/// Smoothing period of %K.
	/// </summary>
	public int StochKPeriod
	{
		get => _stochKPeriod.Value;
		set => _stochKPeriod.Value = value;
	}

	/// <summary>
	/// %K level for shorts.
	/// </summary>
	public decimal OverboughtLevel
	{
		get => _overboughtLevel.Value;
		set => _overboughtLevel.Value = value;
	}

	/// <summary>
	/// %K level for longs.
	/// </summary>
	public decimal OversoldLevel
	{
		get => _oversoldLevel.Value;
		set => _oversoldLevel.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 VwapStochasticStrategy()
	{
		_stochPeriod = Param(nameof(StochPeriod), 14)
			.SetGreaterThanZero()
			.SetDisplay("Stochastic Period", "Lookback period of the raw stochastic", "Stochastic");

		_stochKPeriod = Param(nameof(StochKPeriod), 3)
			.SetGreaterThanZero()
			.SetDisplay("Stochastic %K", "Smoothing period of %K", "Stochastic");

		_overboughtLevel = Param(nameof(OverboughtLevel), 80m)
			.SetDisplay("Overbought Level", "%K level for shorts", "Stochastic");

		_oversoldLevel = Param(nameof(OversoldLevel), 20m)
			.SetDisplay("Oversold Level", "%K level for longs", "Stochastic");

		_stopLossPercent = Param(nameof(StopLossPercent), 2m)
			.SetNotNegative()
			.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "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();
		_day = null;
		_cumulativePriceVolume = 0;
		_cumulativeVolume = 0;
	}

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

		_day = null;
		_cumulativePriceVolume = 0;
		_cumulativeVolume = 0;

		// The D line of the core oscillator is the smoothed %K.
		var stochastic = new StochasticOscillator
		{
			K = { Length = StochPeriod },
			D = { Length = StochKPeriod },
		};

		var subscription = SubscribeCandles(CandleType);
		subscription
			.BindEx(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);
			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 stochasticValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		var day = candle.OpenTime.Date;

		if (_day != day)
		{
			_day = day;
			_cumulativePriceVolume = 0;
			_cumulativeVolume = 0;
		}

		var typicalPrice = (candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 3;
		_cumulativePriceVolume += typicalPrice * candle.TotalVolume;
		_cumulativeVolume += candle.TotalVolume;

		if (!stochasticValue.IsFormed || _cumulativeVolume <= 0)
			return;

		if (stochasticValue is not IStochasticOscillatorValue { D: decimal k })
			return;

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		var vwap = _cumulativePriceVolume / _cumulativeVolume;
		var close = candle.ClosePrice;

		if (close < vwap && k < OversoldLevel && Position <= 0)
			BuyMarket(Volume + Math.Abs(Position));
		else if (close > vwap && k > OverboughtLevel && Position >= 0)
			SellMarket(Volume + Math.Abs(Position));
		else if (Position > 0 && close > vwap)
			SellMarket(Position);
		else if (Position < 0 && close < vwap)
			BuyMarket(-Position);
	}
}