Blau Ergodic MDI Strategy
Overview
The Blau Ergodic Market Directional Indicator (MDI) strategy reproduces the behaviour of the MetaTrader expert advisor Exp_BlauErgodicMDI. The algorithm operates on a higher timeframe candle stream (default 4H) and applies a triple smoothing pipeline to the selected price input in order to build a momentum histogram and a signal line. Trading decisions are derived from that histogram using one of three configurable entry modes:
- Breakdown – trades when the histogram crosses the zero line.
- Twist – reacts to reversals in the histogram slope (momentum changing direction).
- CloudTwist – acts on histogram / signal-line crossovers.
Every signal can optionally close opposing positions and/or open new trades depending on the permission flags provided by the user.
Indicator logic
- Smooth the chosen applied price with the configured moving average type and
PrimaryLengthto obtain the baseline price. - Calculate the momentum difference
(price - baseline) / point_value. - Smooth that momentum with
FirstSmoothingLengthandSecondSmoothingLengthto build the histogram. - Smooth the histogram once more with
SignalLengthto obtain the signal line. - Buffer historical values according to
SignalBarShiftso that signals can be confirmed on closed candles.
Supported smoothing families are EMA, SMA, SMMA/RMA, and WMA. The applied price selection mirrors the MetaTrader implementation (close, open, high, low, median, typical, weighted, simple, quarter, trend-following variants).
Parameters
| Name | Description |
|---|---|
Volume |
Order size used when opening positions. |
StopLossPoints |
Stop loss distance in instrument points (0 disables). |
TakeProfitPoints |
Take profit distance in instrument points (0 disables). |
SlippagePoints |
Maximum price slippage in points applied to market orders. |
AllowLongEntries / AllowShortEntries |
Allow opening positions in the respective direction. |
AllowLongExits / AllowShortExits |
Allow closing existing positions on opposite signals. |
Mode |
Entry mode (Breakdown / Twist / CloudTwist). |
CandleType |
Timeframe of candles used for calculations (default 4H). |
SmoothingMethods |
Moving average family used in all smoothing steps. |
PrimaryLength |
Baseline smoothing length for the applied price. |
FirstSmoothingLength |
First smoothing length applied to momentum. |
SecondSmoothingLength |
Second smoothing length forming the histogram. |
SignalLength |
Smoothing length of the histogram to create the signal line. |
AppliedPrices |
Price source used in indicator calculations. |
SignalBarShift |
Number of closed bars to look back when evaluating signals. |
Phase |
Reserved parameter kept for compatibility (not used in the current implementation). |
Signal conditions
- Breakdown
- Long: histogram at
SignalBarShiftis positive while the previous bar is not. - Short: histogram at
SignalBarShiftis negative while the previous bar is not.
- Long: histogram at
- Twist
- Long: histogram at
SignalBarShiftis rising after a falling period (previous < latest and two-bars-back > previous). - Short: histogram at
SignalBarShiftis falling after a rising period (previous > latest and two-bars-back < previous).
- Long: histogram at
- CloudTwist
- Long: histogram crosses above the signal line (latest histogram > latest signal, previous histogram <= previous signal).
- Short: histogram crosses below the signal line.
Each signal can both flatten the opposite exposure (if exits are allowed) and open a new trade with the configured volume.
Risk management
StartProtection is initialised with the specified stop loss and take profit distances (converted from points to price units using the instrument's tick size). If either distance is zero the respective protection is omitted. Slippage is also converted to price units using the same tick size.
Notes
- Signals are processed only on finished candles to mirror the original MetaTrader behaviour.
SignalBarShiftallows delaying trade confirmation to avoid acting on the most recent bar.- The
Phaseparameter is retained for completeness but has no effect when using the supported smoothing methods. - All code comments are provided in English to simplify future maintenance.
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>
/// Blau Ergodic Market Directional Indicator strategy converted from MetaTrader.
/// Uses a triple-smoothed momentum histogram with configurable entry confirmation modes.
/// </summary>
public class BlauErgodicMdiStrategy : Strategy
{
private readonly StrategyParam<int> _stopLossPoints;
private readonly StrategyParam<int> _takeProfitPoints;
private readonly StrategyParam<int> _slippagePoints;
private readonly StrategyParam<bool> _allowLongEntries;
private readonly StrategyParam<bool> _allowShortEntries;
private readonly StrategyParam<bool> _allowLongExits;
private readonly StrategyParam<bool> _allowShortExits;
private readonly StrategyParam<EntryModes> _entryMode;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<SmoothingMethods> _smoothingMethod;
private readonly StrategyParam<int> _primaryLength;
private readonly StrategyParam<int> _firstSmoothingLength;
private readonly StrategyParam<int> _secondSmoothingLength;
private readonly StrategyParam<int> _signalLength;
private readonly StrategyParam<AppliedPrices> _appliedPrice;
private readonly StrategyParam<int> _signalBarShift;
private readonly StrategyParam<int> _phase;
private IIndicator _priceAverage = null!;
private IIndicator _firstSmoothing = null!;
private IIndicator _secondSmoothing = null!;
private IIndicator _signalSmoothing = null!;
private decimal[] _histogramBuffer = Array.Empty<decimal>();
private decimal[] _signalBuffer = Array.Empty<decimal>();
private int _bufferIndex;
private int _bufferFilled;
private decimal _pointValue = 1m;
private decimal _entryPrice;
private decimal? _stopPrice;
private decimal? _takePrice;
/// <summary>
/// Initializes a new instance of <see cref="BlauErgodicMdiStrategy"/>.
/// </summary>
public BlauErgodicMdiStrategy()
{
_stopLossPoints = Param(nameof(StopLossPoints), 1000)
.SetNotNegative()
.SetDisplay("Stop Loss", "Stop loss in points", "Risk");
_takeProfitPoints = Param(nameof(TakeProfitPoints), 2000)
.SetNotNegative()
.SetDisplay("Take Profit", "Take profit in points", "Risk");
_slippagePoints = Param(nameof(SlippagePoints), 10)
.SetNotNegative()
.SetDisplay("Slippage", "Maximum slippage in points", "Risk");
_allowLongEntries = Param(nameof(AllowLongEntries), true)
.SetDisplay("Allow Long Entries", "Enable opening long positions", "Permissions");
_allowShortEntries = Param(nameof(AllowShortEntries), true)
.SetDisplay("Allow Short Entries", "Enable opening short positions", "Permissions");
_allowLongExits = Param(nameof(AllowLongExits), true)
.SetDisplay("Allow Long Exits", "Enable closing long positions", "Permissions");
_allowShortExits = Param(nameof(AllowShortExits), true)
.SetDisplay("Allow Short Exits", "Enable closing short positions", "Permissions");
_entryMode = Param(nameof(Mode), EntryModes.Twist)
.SetDisplay("Entry Mode", "Signal interpretation mode", "Strategy");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Indicator Timeframe", "Timeframe used for calculations", "Data");
_smoothingMethod = Param(nameof(SmoothingMethod), SmoothingMethods.Exponential)
.SetDisplay("Smoothing Method", "Type of moving average", "Indicator");
_primaryLength = Param(nameof(PrimaryLength), 20)
.SetGreaterThanZero()
.SetDisplay("Primary Length", "Base smoothing length", "Indicator")
.SetOptimize(5, 60, 1);
_firstSmoothingLength = Param(nameof(FirstSmoothingLength), 5)
.SetGreaterThanZero()
.SetDisplay("Momentum Smoothing", "First smoothing length", "Indicator")
.SetOptimize(2, 20, 1);
_secondSmoothingLength = Param(nameof(SecondSmoothingLength), 3)
.SetGreaterThanZero()
.SetDisplay("Histogram Smoothing", "Second smoothing length", "Indicator")
.SetOptimize(2, 20, 1);
_signalLength = Param(nameof(SignalLength), 8)
.SetGreaterThanZero()
.SetDisplay("Signal Length", "Signal line smoothing", "Indicator")
.SetOptimize(2, 30, 1);
_appliedPrice = Param(nameof(AppliedPrice), AppliedPrices.Close)
.SetDisplay("Applied Price", "Price source for calculations", "Indicator");
_signalBarShift = Param(nameof(SignalBarShift), 1)
.SetNotNegative()
.SetDisplay("Signal Bar", "Shift of the bar used for signals", "Strategy");
_phase = Param(nameof(Phase), 15)
.SetDisplay("Phase", "Reserved smoothing phase parameter", "Indicator");
}
/// <summary>
/// Stop loss distance expressed in instrument points.
/// </summary>
public int StopLossPoints
{
get => _stopLossPoints.Value;
set => _stopLossPoints.Value = value;
}
/// <summary>
/// Take profit distance expressed in instrument points.
/// </summary>
public int TakeProfitPoints
{
get => _takeProfitPoints.Value;
set => _takeProfitPoints.Value = value;
}
/// <summary>
/// Allowed price slippage in points.
/// </summary>
public int SlippagePoints
{
get => _slippagePoints.Value;
set => _slippagePoints.Value = value;
}
/// <summary>
/// Enables opening long positions.
/// </summary>
public bool AllowLongEntries
{
get => _allowLongEntries.Value;
set => _allowLongEntries.Value = value;
}
/// <summary>
/// Enables opening short positions.
/// </summary>
public bool AllowShortEntries
{
get => _allowShortEntries.Value;
set => _allowShortEntries.Value = value;
}
/// <summary>
/// Enables closing existing long positions on opposite signals.
/// </summary>
public bool AllowLongExits
{
get => _allowLongExits.Value;
set => _allowLongExits.Value = value;
}
/// <summary>
/// Enables closing existing short positions on opposite signals.
/// </summary>
public bool AllowShortExits
{
get => _allowShortExits.Value;
set => _allowShortExits.Value = value;
}
/// <summary>
/// Selected entry confirmation mode.
/// </summary>
public EntryModes Mode
{
get => _entryMode.Value;
set => _entryMode.Value = value;
}
/// <summary>
/// Candle type used for indicator calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Moving average family used for smoothing steps.
/// </summary>
public SmoothingMethods SmoothingMethod
{
get => _smoothingMethod.Value;
set => _smoothingMethod.Value = value;
}
/// <summary>
/// Length for the initial smoothing of price.
/// </summary>
public int PrimaryLength
{
get => _primaryLength.Value;
set => _primaryLength.Value = value;
}
/// <summary>
/// Length of the first smoothing applied to momentum.
/// </summary>
public int FirstSmoothingLength
{
get => _firstSmoothingLength.Value;
set => _firstSmoothingLength.Value = value;
}
/// <summary>
/// Length of the second smoothing forming the histogram.
/// </summary>
public int SecondSmoothingLength
{
get => _secondSmoothingLength.Value;
set => _secondSmoothingLength.Value = value;
}
/// <summary>
/// Length of the signal line smoothing.
/// </summary>
public int SignalLength
{
get => _signalLength.Value;
set => _signalLength.Value = value;
}
/// <summary>
/// Applied price selection for calculations.
/// </summary>
public AppliedPrices AppliedPrice
{
get => _appliedPrice.Value;
set => _appliedPrice.Value = value;
}
/// <summary>
/// Offset of the bar used for signal confirmation.
/// </summary>
public int SignalBarShift
{
get => _signalBarShift.Value;
set => _signalBarShift.Value = value;
}
/// <summary>
/// Reserved phase parameter kept for compatibility with the original script.
/// </summary>
public int Phase
{
get => _phase.Value;
set => _phase.Value = value;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_histogramBuffer = Array.Empty<decimal>();
_signalBuffer = Array.Empty<decimal>();
_bufferIndex = 0;
_bufferFilled = 0;
_entryPrice = 0m;
_stopPrice = null;
_takePrice = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_pointValue = Security?.PriceStep ?? 1m;
if (_pointValue <= 0m)
_pointValue = 1m;
_priceAverage = CreateMovingAverage(SmoothingMethod, PrimaryLength);
_firstSmoothing = CreateMovingAverage(SmoothingMethod, FirstSmoothingLength);
_secondSmoothing = CreateMovingAverage(SmoothingMethod, SecondSmoothingLength);
_signalSmoothing = CreateMovingAverage(SmoothingMethod, SignalLength);
InitializeBuffers();
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
ApplyRiskManagement(candle);
var price = SelectPrice(candle);
var time = candle.CloseTime;
// Smooth the selected price to match the indicator baseline.
var baseValue = _priceAverage.Process(new DecimalIndicatorValue(_priceAverage, price, time) { IsFinal = true });
if (!baseValue.IsFormed)
return;
var basePrice = baseValue.ToDecimal();
var momentum = _pointValue != 0m ? (price - basePrice) / _pointValue : 0m;
// Apply the first momentum smoothing stage.
var firstValue = _firstSmoothing.Process(new DecimalIndicatorValue(_firstSmoothing, momentum, time) { IsFinal = true });
if (!firstValue.IsFormed)
return;
var first = firstValue.ToDecimal();
// Build the histogram with the second smoothing stage.
var secondValue = _secondSmoothing.Process(new DecimalIndicatorValue(_secondSmoothing, first, time) { IsFinal = true });
if (!secondValue.IsFormed)
return;
var histogram = secondValue.ToDecimal();
// Smooth the histogram to generate the signal line.
var signalValue = _signalSmoothing.Process(new DecimalIndicatorValue(_signalSmoothing, histogram, time) { IsFinal = true });
if (!signalValue.IsFormed)
return;
var signal = signalValue.ToDecimal();
// Store values so that shifted comparisons work like in the MQL version.
AddToBuffer(histogram, signal);
if (!TryGetHist(SignalBarShift, out var latestHist) || !TryGetHist(SignalBarShift + 1, out var previousHist))
return;
var currentPosition = Position;
var buySignal = false;
var sellSignal = false;
switch (Mode)
{
case EntryModes.Breakdown:
{
buySignal = latestHist > 0m && previousHist <= 0m;
sellSignal = latestHist < 0m && previousHist >= 0m;
break;
}
case EntryModes.Twist:
{
if (!TryGetHist(SignalBarShift + 2, out var olderHist))
return;
buySignal = previousHist < latestHist && olderHist > previousHist;
sellSignal = previousHist > latestHist && olderHist < previousHist;
break;
}
case EntryModes.CloudTwist:
{
if (!TryGetSignal(SignalBarShift, out var latestSignal) || !TryGetSignal(SignalBarShift + 1, out var previousSignal))
return;
buySignal = latestHist > latestSignal && previousHist <= previousSignal;
sellSignal = latestHist < latestSignal && previousHist >= previousSignal;
break;
}
}
if (buySignal)
{
ExecuteBuy(currentPosition, candle.ClosePrice);
}
else if (sellSignal)
{
ExecuteSell(currentPosition, candle.ClosePrice);
}
}
private void ExecuteBuy(decimal currentPosition, decimal price)
{
var volume = 0m;
if (AllowShortExits && currentPosition < 0m)
volume += Math.Abs(currentPosition);
if (AllowLongEntries && (currentPosition <= 0m || (AllowShortExits && currentPosition < 0m)))
volume += Volume;
if (volume > 0m)
{
BuyMarket(volume);
_entryPrice = price;
var slDist = StopLossPoints > 0 ? StopLossPoints * _pointValue : 0m;
var tpDist = TakeProfitPoints > 0 ? TakeProfitPoints * _pointValue : 0m;
_stopPrice = slDist > 0m ? price - slDist : null;
_takePrice = tpDist > 0m ? price + tpDist : null;
}
}
private void ExecuteSell(decimal currentPosition, decimal price)
{
var volume = 0m;
if (AllowLongExits && currentPosition > 0m)
volume += Math.Abs(currentPosition);
if (AllowShortEntries && (currentPosition >= 0m || (AllowLongExits && currentPosition > 0m)))
volume += Volume;
if (volume > 0m)
{
SellMarket(volume);
_entryPrice = price;
var slDist = StopLossPoints > 0 ? StopLossPoints * _pointValue : 0m;
var tpDist = TakeProfitPoints > 0 ? TakeProfitPoints * _pointValue : 0m;
_stopPrice = slDist > 0m ? price + slDist : null;
_takePrice = tpDist > 0m ? price - tpDist : null;
}
}
private void ApplyRiskManagement(ICandleMessage candle)
{
if (Position > 0)
{
if (_stopPrice.HasValue && candle.LowPrice <= _stopPrice.Value)
{
SellMarket(Position);
ResetTargets();
return;
}
if (_takePrice.HasValue && candle.HighPrice >= _takePrice.Value)
{
SellMarket(Position);
ResetTargets();
}
}
else if (Position < 0)
{
if (_stopPrice.HasValue && candle.HighPrice >= _stopPrice.Value)
{
BuyMarket(Math.Abs(Position));
ResetTargets();
return;
}
if (_takePrice.HasValue && candle.LowPrice <= _takePrice.Value)
{
BuyMarket(Math.Abs(Position));
ResetTargets();
}
}
}
private void ResetTargets()
{
_entryPrice = 0m;
_stopPrice = null;
_takePrice = null;
}
private void InitializeBuffers()
{
var size = Math.Max(3, SignalBarShift + 3);
_histogramBuffer = new decimal[size];
_signalBuffer = new decimal[size];
_bufferIndex = 0;
_bufferFilled = 0;
}
private void AddToBuffer(decimal histogram, decimal signal)
{
if (_histogramBuffer.Length == 0)
return;
_histogramBuffer[_bufferIndex] = histogram;
_signalBuffer[_bufferIndex] = signal;
_bufferIndex = (_bufferIndex + 1) % _histogramBuffer.Length;
if (_bufferFilled < _histogramBuffer.Length)
_bufferFilled++;
}
private bool TryGetHist(int shift, out decimal value)
{
return TryGetBufferedValue(_histogramBuffer, shift, out value);
}
private bool TryGetSignal(int shift, out decimal value)
{
return TryGetBufferedValue(_signalBuffer, shift, out value);
}
private bool TryGetBufferedValue(decimal[] buffer, int shift, out decimal value)
{
value = default;
if (shift < 0 || shift >= _bufferFilled)
return false;
var index = _bufferIndex - 1 - shift;
if (index < 0)
index += buffer.Length;
value = buffer[index];
return true;
}
private decimal SelectPrice(ICandleMessage candle)
{
return AppliedPrice switch
{
AppliedPrices.Open => candle.OpenPrice,
AppliedPrices.High => candle.HighPrice,
AppliedPrices.Low => candle.LowPrice,
AppliedPrices.Median => (candle.HighPrice + candle.LowPrice) / 2m,
AppliedPrices.Typical => (candle.ClosePrice + candle.HighPrice + candle.LowPrice) / 3m,
AppliedPrices.Weighted => (2m * candle.ClosePrice + candle.HighPrice + candle.LowPrice) / 4m,
AppliedPrices.Simple => (candle.OpenPrice + candle.ClosePrice) / 2m,
AppliedPrices.Quarter => (candle.OpenPrice + candle.HighPrice + candle.LowPrice + candle.ClosePrice) / 4m,
AppliedPrices.TrendFollow0 => candle.ClosePrice > candle.OpenPrice ? candle.HighPrice : candle.ClosePrice < candle.OpenPrice ? candle.LowPrice : candle.ClosePrice,
AppliedPrices.TrendFollow1 => candle.ClosePrice > candle.OpenPrice ? (candle.HighPrice + candle.ClosePrice) / 2m : candle.ClosePrice < candle.OpenPrice ? (candle.LowPrice + candle.ClosePrice) / 2m : candle.ClosePrice,
_ => candle.ClosePrice,
};
}
private static IIndicator CreateMovingAverage(SmoothingMethods method, int length)
{
return method switch
{
SmoothingMethods.Simple => new SimpleMovingAverage { Length = length },
SmoothingMethods.Smoothed => new SmoothedMovingAverage { Length = length },
SmoothingMethods.Weighted => new WeightedMovingAverage { Length = length },
_ => new ExponentialMovingAverage { Length = length },
};
}
/// <summary>
/// Entry confirmation modes replicated from the original expert advisor.
/// </summary>
public enum EntryModes
{
/// <summary>
/// Histogram breaks above or below the zero line.
/// </summary>
Breakdown,
/// <summary>
/// Histogram changes slope direction.
/// </summary>
Twist,
/// <summary>
/// Histogram crosses the signal line.
/// </summary>
CloudTwist
}
/// <summary>
/// Supported smoothing families.
/// </summary>
public enum SmoothingMethods
{
/// <summary>
/// Exponential moving average.
/// </summary>
Exponential,
/// <summary>
/// Simple moving average.
/// </summary>
Simple,
/// <summary>
/// Smoothed (RMA) moving average.
/// </summary>
Smoothed,
/// <summary>
/// Weighted moving average.
/// </summary>
Weighted
}
/// <summary>
/// Applied price sources identical to the MetaTrader version.
/// </summary>
public enum AppliedPrices
{
/// <summary>
/// Close price.
/// </summary>
Close,
/// <summary>
/// Open price.
/// </summary>
Open,
/// <summary>
/// High price.
/// </summary>
High,
/// <summary>
/// Low price.
/// </summary>
Low,
/// <summary>
/// Median price (high + low) / 2.
/// </summary>
Median,
/// <summary>
/// Typical price (close + high + low) / 3.
/// </summary>
Typical,
/// <summary>
/// Weighted price (2 * close + high + low) / 4.
/// </summary>
Weighted,
/// <summary>
/// Simple price (open + close) / 2.
/// </summary>
Simple,
/// <summary>
/// Quarted price (open + high + low + close) / 4.
/// </summary>
Quarter,
/// <summary>
/// Trend-following price using candle extremes.
/// </summary>
TrendFollow0,
/// <summary>
/// Half-trend-following price.
/// </summary>
TrendFollow1
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import (
SimpleMovingAverage,
ExponentialMovingAverage,
SmoothedMovingAverage,
WeightedMovingAverage,
)
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class blau_ergodic_mdi_strategy(Strategy):
MODE_BREAKDOWN = 0
MODE_TWIST = 1
MODE_CLOUD_TWIST = 2
SMOOTH_EMA = 0
SMOOTH_SMA = 1
SMOOTH_SMMA = 2
SMOOTH_WMA = 3
AP_CLOSE = 0
AP_OPEN = 1
AP_HIGH = 2
AP_LOW = 3
AP_MEDIAN = 4
AP_TYPICAL = 5
AP_WEIGHTED = 6
AP_SIMPLE = 7
AP_QUARTER = 8
AP_TREND0 = 9
AP_TREND1 = 10
def __init__(self):
super(blau_ergodic_mdi_strategy, self).__init__()
self._stop_loss_points = self.Param("StopLossPoints", 1000)
self._take_profit_points = self.Param("TakeProfitPoints", 2000)
self._slippage_points = self.Param("SlippagePoints", 10)
self._allow_long_entries = self.Param("AllowLongEntries", True)
self._allow_short_entries = self.Param("AllowShortEntries", True)
self._allow_long_exits = self.Param("AllowLongExits", True)
self._allow_short_exits = self.Param("AllowShortExits", True)
self._entry_mode = self.Param("Mode", self.MODE_TWIST)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4)))
self._smoothing_method = self.Param("SmoothingMethod", self.SMOOTH_EMA)
self._primary_length = self.Param("PrimaryLength", 20)
self._first_smoothing_length = self.Param("FirstSmoothingLength", 5)
self._second_smoothing_length = self.Param("SecondSmoothingLength", 3)
self._signal_length = self.Param("SignalLength", 8)
self._applied_price = self.Param("AppliedPrice", self.AP_CLOSE)
self._signal_bar_shift = self.Param("SignalBarShift", 1)
self._phase = self.Param("Phase", 15)
self._price_average = None
self._first_smoothing = None
self._second_smoothing = None
self._signal_smoothing = None
self._histogram_buffer = []
self._signal_buffer = []
self._buffer_index = 0
self._buffer_filled = 0
self._point_value = 1.0
self._entry_price = 0.0
self._stop_price = None
self._take_price = None
@property
def StopLossPoints(self):
return self._stop_loss_points.Value
@property
def TakeProfitPoints(self):
return self._take_profit_points.Value
@property
def AllowLongEntries(self):
return self._allow_long_entries.Value
@property
def AllowShortEntries(self):
return self._allow_short_entries.Value
@property
def AllowLongExits(self):
return self._allow_long_exits.Value
@property
def AllowShortExits(self):
return self._allow_short_exits.Value
@property
def Mode(self):
return self._entry_mode.Value
@property
def CandleType(self):
return self._candle_type.Value
@property
def SmoothingMethod(self):
return self._smoothing_method.Value
@property
def PrimaryLength(self):
return self._primary_length.Value
@property
def FirstSmoothingLength(self):
return self._first_smoothing_length.Value
@property
def SecondSmoothingLength(self):
return self._second_smoothing_length.Value
@property
def SignalLength(self):
return self._signal_length.Value
@property
def AppliedPrice(self):
return self._applied_price.Value
@property
def SignalBarShift(self):
return self._signal_bar_shift.Value
@property
def Phase(self):
return self._phase.Value
def OnStarted2(self, time):
super(blau_ergodic_mdi_strategy, self).OnStarted2(time)
sec = self.Security
self._point_value = float(sec.PriceStep) if sec is not None and sec.PriceStep is not None and float(sec.PriceStep) > 0 else 1.0
self._price_average = self._create_ma(self.SmoothingMethod, self.PrimaryLength)
self._first_smoothing = self._create_ma(self.SmoothingMethod, self.FirstSmoothingLength)
self._second_smoothing = self._create_ma(self.SmoothingMethod, self.SecondSmoothingLength)
self._signal_smoothing = self._create_ma(self.SmoothingMethod, self.SignalLength)
self._initialize_buffers()
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
self._apply_risk_management(candle)
price = self._select_price(candle)
t = candle.ServerTime
base_val = process_float(self._price_average, Decimal(float(price)), t, True)
if not self._price_average.IsFormed:
return
base_price = float(base_val.Value)
momentum = (float(price) - base_price) / self._point_value if self._point_value != 0 else 0.0
first_val = process_float(self._first_smoothing, Decimal(momentum), t, True)
if not self._first_smoothing.IsFormed:
return
second_val = process_float(self._second_smoothing, Decimal(float(first_val.Value)), t, True)
if not self._second_smoothing.IsFormed:
return
histogram = float(second_val.Value)
signal_val = process_float(self._signal_smoothing, Decimal(histogram), t, True)
if not self._signal_smoothing.IsFormed:
return
signal = float(signal_val.Value)
self._add_to_buffer(histogram, signal)
shift = self.SignalBarShift
latest_hist = self._try_get_hist(shift)
prev_hist = self._try_get_hist(shift + 1)
if latest_hist is None or prev_hist is None:
return
pos = float(self.Position)
buy_signal = False
sell_signal = False
mode = self.Mode
if mode == self.MODE_BREAKDOWN:
buy_signal = latest_hist > 0 and prev_hist <= 0
sell_signal = latest_hist < 0 and prev_hist >= 0
elif mode == self.MODE_TWIST:
older_hist = self._try_get_hist(shift + 2)
if older_hist is None:
return
buy_signal = prev_hist < latest_hist and older_hist > prev_hist
sell_signal = prev_hist > latest_hist and older_hist < prev_hist
elif mode == self.MODE_CLOUD_TWIST:
latest_sig = self._try_get_signal(shift)
prev_sig = self._try_get_signal(shift + 1)
if latest_sig is None or prev_sig is None:
return
buy_signal = latest_hist > latest_sig and prev_hist <= prev_sig
sell_signal = latest_hist < latest_sig and prev_hist >= prev_sig
if buy_signal:
self._execute_buy(pos, float(candle.ClosePrice))
elif sell_signal:
self._execute_sell(pos, float(candle.ClosePrice))
def _execute_buy(self, current_pos, price):
volume = 0.0
if self.AllowShortExits and current_pos < 0:
volume += abs(current_pos)
if self.AllowLongEntries and (current_pos <= 0 or (self.AllowShortExits and current_pos < 0)):
volume += float(self.Volume)
if volume > 0:
self.BuyMarket(volume)
self._entry_price = price
sl_dist = self.StopLossPoints * self._point_value if self.StopLossPoints > 0 else 0.0
tp_dist = self.TakeProfitPoints * self._point_value if self.TakeProfitPoints > 0 else 0.0
self._stop_price = price - sl_dist if sl_dist > 0 else None
self._take_price = price + tp_dist if tp_dist > 0 else None
def _execute_sell(self, current_pos, price):
volume = 0.0
if self.AllowLongExits and current_pos > 0:
volume += abs(current_pos)
if self.AllowShortEntries and (current_pos >= 0 or (self.AllowLongExits and current_pos > 0)):
volume += float(self.Volume)
if volume > 0:
self.SellMarket(volume)
self._entry_price = price
sl_dist = self.StopLossPoints * self._point_value if self.StopLossPoints > 0 else 0.0
tp_dist = self.TakeProfitPoints * self._point_value if self.TakeProfitPoints > 0 else 0.0
self._stop_price = price + sl_dist if sl_dist > 0 else None
self._take_price = price - tp_dist if tp_dist > 0 else None
def _apply_risk_management(self, candle):
pos = float(self.Position)
if pos > 0:
if self._stop_price is not None and float(candle.LowPrice) <= self._stop_price:
self.SellMarket(pos)
self._reset_targets()
return
if self._take_price is not None and float(candle.HighPrice) >= self._take_price:
self.SellMarket(pos)
self._reset_targets()
elif pos < 0:
if self._stop_price is not None and float(candle.HighPrice) >= self._stop_price:
self.BuyMarket(abs(pos))
self._reset_targets()
return
if self._take_price is not None and float(candle.LowPrice) <= self._take_price:
self.BuyMarket(abs(pos))
self._reset_targets()
def _reset_targets(self):
self._entry_price = 0.0
self._stop_price = None
self._take_price = None
def _initialize_buffers(self):
size = max(3, self.SignalBarShift + 3)
self._histogram_buffer = [0.0] * size
self._signal_buffer = [0.0] * size
self._buffer_index = 0
self._buffer_filled = 0
def _add_to_buffer(self, histogram, signal):
if len(self._histogram_buffer) == 0:
return
self._histogram_buffer[self._buffer_index] = histogram
self._signal_buffer[self._buffer_index] = signal
self._buffer_index = (self._buffer_index + 1) % len(self._histogram_buffer)
if self._buffer_filled < len(self._histogram_buffer):
self._buffer_filled += 1
def _try_get_hist(self, shift):
return self._try_get_buffered(self._histogram_buffer, shift)
def _try_get_signal(self, shift):
return self._try_get_buffered(self._signal_buffer, shift)
def _try_get_buffered(self, buf, shift):
if shift < 0 or shift >= self._buffer_filled:
return None
idx = self._buffer_index - 1 - shift
if idx < 0:
idx += len(buf)
return buf[idx]
def _select_price(self, candle):
ap = self.AppliedPrice
if ap == self.AP_OPEN:
return candle.OpenPrice
elif ap == self.AP_HIGH:
return candle.HighPrice
elif ap == self.AP_LOW:
return candle.LowPrice
elif ap == self.AP_MEDIAN:
return (float(candle.HighPrice) + float(candle.LowPrice)) / 2.0
elif ap == self.AP_TYPICAL:
return (float(candle.ClosePrice) + float(candle.HighPrice) + float(candle.LowPrice)) / 3.0
elif ap == self.AP_WEIGHTED:
return (2.0 * float(candle.ClosePrice) + float(candle.HighPrice) + float(candle.LowPrice)) / 4.0
elif ap == self.AP_SIMPLE:
return (float(candle.OpenPrice) + float(candle.ClosePrice)) / 2.0
elif ap == self.AP_QUARTER:
return (float(candle.OpenPrice) + float(candle.HighPrice) + float(candle.LowPrice) + float(candle.ClosePrice)) / 4.0
elif ap == self.AP_TREND0:
if float(candle.ClosePrice) > float(candle.OpenPrice):
return candle.HighPrice
elif float(candle.ClosePrice) < float(candle.OpenPrice):
return candle.LowPrice
else:
return candle.ClosePrice
elif ap == self.AP_TREND1:
if float(candle.ClosePrice) > float(candle.OpenPrice):
return (float(candle.HighPrice) + float(candle.ClosePrice)) / 2.0
elif float(candle.ClosePrice) < float(candle.OpenPrice):
return (float(candle.LowPrice) + float(candle.ClosePrice)) / 2.0
else:
return candle.ClosePrice
else:
return candle.ClosePrice
def _create_ma(self, method, length):
if method == self.SMOOTH_SMA:
ma = SimpleMovingAverage()
ma.Length = length
return ma
elif method == self.SMOOTH_SMMA:
ma = SmoothedMovingAverage()
ma.Length = length
return ma
elif method == self.SMOOTH_WMA:
ma = WeightedMovingAverage()
ma.Length = length
return ma
else:
ma = ExponentialMovingAverage()
ma.Length = length
return ma
def OnReseted(self):
super(blau_ergodic_mdi_strategy, self).OnReseted()
self._histogram_buffer = []
self._signal_buffer = []
self._buffer_index = 0
self._buffer_filled = 0
self._entry_price = 0.0
self._stop_price = None
self._take_price = None
def CreateClone(self):
return blau_ergodic_mdi_strategy()