A sample strategy demonstrating how to trade using the direction changes of a smoothed median price. The original MQL expert used the Volatility Quality indicator; this implementation approximates it with a simple moving average of the median price.
Strategy Logic
Calculate the median price of each candle (High + Low) / 2.
Smooth the median price with a Simple Moving Average (SMA).
Determine the indicator color: rising values are treated as up (color 0) and falling values as down (color 1).
When the color switches from up to down, the strategy closes any short position and opens a long position.
When the color switches from down to up, the strategy closes any long position and opens a short position.
Basic risk management is applied via fixed stop loss and take profit levels.
Parameters
Name
Description
Length
Smoothing period for the SMA applied to median price.
Candle Type
Timeframe of candles used for calculations.
Disclaimer
This example is provided for educational purposes. It simplifies the original algorithm and may behave differently from the MQL version. Use at your own risk.
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()