ColorMETRO Stochastic Strategy
This strategy is a C# port of the MQL5 expert exp_colormetro_stochastic.mq5. It replaces the original ColorMETRO Stochastic indicator with the built-in StochasticOscillator from StockSharp and trades on crossover events.
Logic
- Subscribes to 8-hour candles by default (configurable).
- Calculates the Stochastic oscillator with parameters:
- %K period (
KPeriod) - %D period (
DPeriod) - Additional smoothing (
Slowing)
- %K period (
- Stores previous %K and %D values to detect crossovers.
- Buy when %K crosses above %D.
- Sell when %K crosses below %D.
- Applies a simple 2% stop-loss and take-profit via
StartProtection.
Parameters
| Name | Description |
|---|---|
KPeriod |
Lookback for %K line (default 5). |
DPeriod |
Smoothing period for %D line (default 3). |
Slowing |
Additional smoothing value (default 3). |
CandleType |
Timeframe of candles, default 8 hours. |
Notes
The original MQL version used a custom ColorMETRO Stochastic indicator with fast and slow step lines. This port approximates its signals using the standard Stochastic oscillator.
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>
/// ColorMETRO Stochastic crossover strategy based on the Stochastic Oscillator.
/// Generates market entries when %K crosses %D.
/// </summary>
public class ColorMetroStochasticStrategy : Strategy
{
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<int> _slowing;
private readonly StrategyParam<DataType> _candleType;
private decimal? _prevK;
private decimal? _prevD;
/// <summary>
/// %K calculation period.
/// </summary>
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
/// <summary>
/// %D smoothing period.
/// </summary>
public int DPeriod
{
get => _dPeriod.Value;
set => _dPeriod.Value = value;
}
/// <summary>
/// Additional smoothing value.
/// </summary>
public int Slowing
{
get => _slowing.Value;
set => _slowing.Value = value;
}
/// <summary>
/// Candle type used for calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the strategy.
/// </summary>
public ColorMetroStochasticStrategy()
{
_kPeriod = Param(nameof(KPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("K Period", "K calculation period", "Indicator")
.SetOptimize(3, 15, 1);
_dPeriod = Param(nameof(DPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("D Period", "D smoothing period", "Indicator")
.SetOptimize(2, 10, 1);
_slowing = Param(nameof(Slowing), 3)
.SetGreaterThanZero()
.SetDisplay("Slowing", "Additional smoothing", "Indicator")
.SetOptimize(1, 5, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Candle Type", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevK = null;
_prevD = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevK = null;
_prevD = null;
var stoch = new StochasticOscillator();
stoch.K.Length = KPeriod;
stoch.D.Length = DPeriod;
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(stoch, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, stoch);
DrawOwnTrades(area);
}
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(2, UnitTypes.Percent));
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var stoch = (IStochasticOscillatorValue)stochValue;
if (stoch.K is not decimal k || stoch.D is not decimal d)
return;
if (_prevK is decimal prevK && _prevD is decimal prevD)
{
// Bullish crossover: %K rises above %D
if (prevK <= prevD && k > d && Position <= 0)
BuyMarket();
// Bearish crossover: %K falls below %D
else if (prevK >= prevD && k < d && Position >= 0)
SellMarket();
}
_prevK = k;
_prevD = d;
}
}
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 StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class color_metro_stochastic_strategy(Strategy):
def __init__(self):
super(color_metro_stochastic_strategy, self).__init__()
self._k_period = self.Param("KPeriod", 5) \
.SetDisplay("K Period", "K calculation period", "Indicator")
self._d_period = self.Param("DPeriod", 3) \
.SetDisplay("D Period", "D smoothing period", "Indicator")
self._slowing = self.Param("Slowing", 3) \
.SetDisplay("Slowing", "Additional smoothing", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Candle Type", "General")
self._prev_k = None
self._prev_d = None
@property
def k_period(self):
return self._k_period.Value
@property
def d_period(self):
return self._d_period.Value
@property
def slowing(self):
return self._slowing.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(color_metro_stochastic_strategy, self).OnReseted()
self._prev_k = None
self._prev_d = None
def OnStarted2(self, time):
super(color_metro_stochastic_strategy, self).OnStarted2(time)
self._prev_k = None
self._prev_d = None
stoch = StochasticOscillator()
stoch.K.Length = self.k_period
stoch.D.Length = self.d_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(stoch, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, stoch)
self.DrawOwnTrades(area)
self.StartProtection(
takeProfit=Unit(2, UnitTypes.Percent),
stopLoss=Unit(2, UnitTypes.Percent))
def process_candle(self, candle, stoch_value):
if candle.State != CandleStates.Finished:
return
k = stoch_value.K
d = stoch_value.D
if k is None or d is None:
return
k = float(k)
d = float(d)
if self._prev_k is not None and self._prev_d is not None:
if self._prev_k <= self._prev_d and k > d and self.Position <= 0:
self.BuyMarket()
elif self._prev_k >= self._prev_d and k < d and self.Position >= 0:
self.SellMarket()
self._prev_k = k
self._prev_d = d
def CreateClone(self):
return color_metro_stochastic_strategy()