Una estrategia de muestra que demuestra cómo operar usando los cambios de dirección de un precio mediano suavizado. El experto MQL original usaba el indicador Volatility Quality; esta implementación lo aproxima con una media móvil simple del precio mediano.
Lógica de la estrategia
Calcular el precio mediano de cada vela (High + Low) / 2.
Suavizar el precio mediano con una Media Móvil Simple (SMA).
Determinar el color del indicador: los valores en ascenso se tratan como arriba (color 0) y los valores en descenso como abajo (color 1).
Cuando el color cambia de arriba a abajo, la estrategia cierra cualquier posición corta y abre una posición larga.
Cuando el color cambia de abajo a arriba, la estrategia cierra cualquier posición larga y abre una posición corta.
Se aplica gestión de riesgo básica mediante niveles fijos de stop loss y take profit.
Parámetros
Nombre
Descripción
Length
Período de suavizado para la SMA aplicada al precio mediano.
Candle Type
Marco temporal de las velas utilizadas para los cálculos.
Aviso legal
Este ejemplo se proporciona con fines educativos. Simplifica el algoritmo original y puede comportarse de manera diferente a la versión MQL. Úselo bajo su propia responsabilidad.
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Volatility Quality strategy. Trades when smoothed median price slope changes direction.
/// </summary>
public class VolatilityQualityStrategy : Strategy
{
private readonly StrategyParam<int> _lengthParam;
private readonly StrategyParam<DataType> _candleTypeParam;
private ExponentialMovingAverage _sma;
private decimal _prevSma;
private int _prevColor;
/// <summary>
/// Smoothing period for median price.
/// </summary>
public int Length
{
get => _lengthParam.Value;
set => _lengthParam.Value = value;
}
/// <summary>
/// Candle type used for analysis.
/// </summary>
public DataType CandleType
{
get => _candleTypeParam.Value;
set => _candleTypeParam.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="VolatilityQualityStrategy"/> class.
/// </summary>
public VolatilityQualityStrategy()
{
_lengthParam = Param(nameof(Length), 5)
.SetGreaterThanZero()
.SetDisplay("Length", "Smoothing period for median price", "Parameters")
.SetOptimize(5, 30, 5);
_candleTypeParam = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for strategy", "Common");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_sma = null;
_prevSma = 0m;
_prevColor = -1;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
// Create indicator for smoothed median price
_sma = new ExponentialMovingAverage { Length = Length };
// Subscribe to candle series and bind indicator
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_sma, ProcessCandle)
.Start();
// Draw chart elements if available
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _sma);
DrawOwnTrades(area);
}
// Basic position protection
StartProtection(
takeProfit: new Unit(2m, UnitTypes.Percent),
stopLoss: new Unit(1m, UnitTypes.Percent));
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
// Determine indicator color based on slope
int color;
if (_prevSma == 0m)
{
_prevSma = smaValue;
_prevColor = -1;
return;
}
if (smaValue > _prevSma)
color = 0; // rising line
else if (smaValue < _prevSma)
color = 1; // falling line
else
color = _prevColor; // unchanged
// Check for color change and trade accordingly
if (_prevColor == 1 && color == 0 && Position <= 0)
{
// Slope turned up - buy
if (Position < 0)
BuyMarket();
BuyMarket();
}
else if (_prevColor == 0 && color == 1 && Position >= 0)
{
// Slope turned down - sell
if (Position > 0)
SellMarket();
SellMarket();
}
_prevSma = smaValue;
_prevColor = color;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes
from StockSharp.Algo.Indicators import ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class volatility_quality_strategy(Strategy):
def __init__(self):
super(volatility_quality_strategy, self).__init__()
self._length = self.Param("Length", 5) \
.SetDisplay("Length", "Smoothing period for median price", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Timeframe for strategy", "Common")
self._sma = None
self._prev_sma = 0.0
self._prev_color = -1
@property
def length(self):
return self._length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(volatility_quality_strategy, self).OnReseted()
self._sma = None
self._prev_sma = 0.0
self._prev_color = -1
def OnStarted2(self, time):
super(volatility_quality_strategy, self).OnStarted2(time)
self._sma = ExponentialMovingAverage()
self._sma.Length = self.length
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._sma, self.process_candle).Start()
self.StartProtection(
takeProfit=Unit(2.0, UnitTypes.Percent),
stopLoss=Unit(1.0, UnitTypes.Percent))
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._sma)
self.DrawOwnTrades(area)
def process_candle(self, candle, sma_value):
if candle.State != CandleStates.Finished:
return
sma_value = float(sma_value)
if self._prev_sma == 0.0:
self._prev_sma = sma_value
self._prev_color = -1
return
if sma_value > self._prev_sma:
color = 0 # rising
elif sma_value < self._prev_sma:
color = 1 # falling
else:
color = self._prev_color
# Slope turned up - buy
if self._prev_color == 1 and color == 0 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
# Slope turned down - sell
elif self._prev_color == 0 and color == 1 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._prev_sma = sma_value
self._prev_color = color
def CreateClone(self):
return volatility_quality_strategy()