VR ZVER-Strategie
Übersicht
Die VR ZVER-Strategie ist ein Trendfolge-System, das drei Bestätigungsschichten kombiniert: ein schnelles/langsames/sehr langsames EMA-Stack, den Stochastischen Oszillator und den Relative Strength Index (RSI). Alle aktiven Filter müssen übereinstimmen, bevor eine Position eröffnet wird, was dabei hilft, Trades während turbulenter und widersprüchlicher Marktphasen zu vermeiden. Die Konvertierung behält die ursprüngliche Break-Even- und Schutzlogik bei, während die High-Level-API von StockSharp verwendet wird.
Marktregime-Erkennung
- EMA-Struktur – Die Standardkonfiguration verwendet exponentielle gleitende Durchschnitte mit den Perioden 3, 5 und 7. Ein Long-Bias erfordert, dass der schnelle EMA über dem langsamen EMA liegt und der langsame EMA über dem sehr langsamen EMA bleibt. Ein Short-Bias kehrt diese Beziehung um.
- Stochastischer Oszillator – Das %K/%D-Paar wird sowohl auf Richtung als auch auf Niveau geprüft. Long-Trades erfordern, dass %K unter dem unteren Band und über %D liegt, was einen überverkauften Abprall signalisiert. Short-Trades erfordern, dass %K über dem oberen Band und unter %D liegt, was auf eine überkaufte Umkehr hindeutet.
- RSI-Filter – Der RSI muss unter dem unteren Schwellenwert liegen, um Long-Einstiege zu erlauben, oder über dem oberen Schwellenwert, um Short-Trades zu ermöglichen.
Nur wenn jeder aktivierte Filter übereinstimmt, sendet die Strategie eine Marktorder mit dem konfigurierten Volumen.
Risikomanagement
- Stop Loss – Jeder Einstieg projiziert einen preisbasierten Stop mit der
StopLossPips-Einstellung multipliziert mit der Pip-Größe des Instruments. Long-Positionen gehen aus, wenn das Kerzentief den Stop durchsticht, während Short-Positionen schließen, wenn das Kerzenhoch ihren Stop erreicht. - Take Profit – Ein symmetrisches Take-Profit-Niveau wird angewendet. Wenn die aktuelle Kerze das Ziel zugunsten des Trades erreicht, wird die Position sofort geschlossen.
- Breakeven-Schutz – Nachdem der Preis die
BreakevenPips-Distanz vorangeschritten ist, wird ein Breakeven-Modus aktiviert. Jede Rückbewegung zum Einstiegspreis wird die Position abflachen, um Kapital zu erhalten. - Order-Bereinigung – Alle aktiven Orders werden vor dem Eröffnen eines neuen Trades storniert, um unbeabsichtigtes Stapeln zu vermeiden.
Parameter
| Parameter | Beschreibung |
|---|---|
CandleType |
Für Berechnungen verwendete Kerzenserie. |
UseMovingAverage |
Aktiviert oder deaktiviert den EMA-Trendfilter. |
FastMaPeriod, SlowMaPeriod, VerySlowMaPeriod |
Perioden für schnelle, langsame und sehr langsame EMAs. |
UseStochastic |
Schaltet die stochastische Bestätigungsschicht um. |
StochasticKPeriod, StochasticDPeriod, StochasticSlowing |
Periodeneinstellungen für den Stochastischen Oszillator. |
StochasticUpperLevel, StochasticLowerLevel |
Überkauft- und Überverkauft-Schwellenwerte für %K. |
UseRsi |
Aktiviert oder deaktiviert die RSI-Bestätigungsschicht. |
RsiPeriod |
RSI-Mittelungsperiode. |
RsiUpperLevel, RsiLowerLevel |
RSI-Schwellenwerte, die Überkauft-/Überverkauft-Bereiche definieren. |
StopLossPips, TakeProfitPips |
Distanzen (in Pips) für Stop-Loss- und Take-Profit-Platzierung. |
BreakevenPips |
Preisfortschritt, der vor dem Aktivieren des Breakeven-Schutzes erforderlich ist. |
Volume |
Menge für jede Marktorder. |
Implementierungshinweise
- Die Pip-Größe wird aus dem Preisschritt des Instruments und der Anzahl der Dezimalstellen abgeleitet. Instrumente mit 3 oder 5 Dezimalstellen wenden automatisch die Standard-10x-Anpassung an, die in der ursprünglichen MQL-Version verwendet wird.
- Alle Indikatordaten werden über
BindExabgerufen, wodurch sichergestellt wird, dass die Strategie nur auf abgeschlossene Kerzen mit finalisierten Indikatorwerten reagiert. - Die Strategie ist standardmäßig flat; Positionen werden niemals umgekehrt, ohne die bestehende Exposure zuerst zu schließen.
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>
/// Multi-indicator strategy that combines EMA, Stochastic, and RSI confirmations.
/// </summary>
public class VrZverStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<bool> _useMovingAverage;
private readonly StrategyParam<int> _fastMaPeriod;
private readonly StrategyParam<int> _slowMaPeriod;
private readonly StrategyParam<int> _verySlowMaPeriod;
private readonly StrategyParam<bool> _useStochastic;
private readonly StrategyParam<int> _stochasticKPeriod;
private readonly StrategyParam<int> _stochasticDPeriod;
private readonly StrategyParam<int> _stochasticSlowing;
private readonly StrategyParam<int> _stochasticUpperLevel;
private readonly StrategyParam<int> _stochasticLowerLevel;
private readonly StrategyParam<bool> _useRsi;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _rsiUpperLevel;
private readonly StrategyParam<int> _rsiLowerLevel;
private readonly StrategyParam<int> _stopLossPips;
private readonly StrategyParam<int> _takeProfitPips;
private readonly StrategyParam<int> _breakevenPips;
private ExponentialMovingAverage _fastMa = null!;
private ExponentialMovingAverage _slowMa = null!;
private ExponentialMovingAverage _verySlowMa = null!;
private StochasticOscillator _stochastic = null!;
private RelativeStrengthIndex _rsi = null!;
private decimal _pipSize;
private decimal? _longEntryPrice;
private decimal? _shortEntryPrice;
private decimal? _longStopPrice;
private decimal? _shortStopPrice;
private decimal? _longTakePrice;
private decimal? _shortTakePrice;
private decimal? _longBreakevenTrigger;
private decimal? _shortBreakevenTrigger;
private bool _longBreakevenArmed;
private bool _shortBreakevenArmed;
/// <summary>
/// Candle type used for calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Enable moving average confirmation.
/// </summary>
public bool UseMovingAverage
{
get => _useMovingAverage.Value;
set => _useMovingAverage.Value = value;
}
/// <summary>
/// Fast EMA period.
/// </summary>
public int FastMaPeriod
{
get => _fastMaPeriod.Value;
set => _fastMaPeriod.Value = value;
}
/// <summary>
/// Slow EMA period.
/// </summary>
public int SlowMaPeriod
{
get => _slowMaPeriod.Value;
set => _slowMaPeriod.Value = value;
}
/// <summary>
/// Very slow EMA period.
/// </summary>
public int VerySlowMaPeriod
{
get => _verySlowMaPeriod.Value;
set => _verySlowMaPeriod.Value = value;
}
/// <summary>
/// Enable Stochastic confirmation.
/// </summary>
public bool UseStochastic
{
get => _useStochastic.Value;
set => _useStochastic.Value = value;
}
/// <summary>
/// Stochastic oscillator %K period.
/// </summary>
public int StochasticKPeriod
{
get => _stochasticKPeriod.Value;
set => _stochasticKPeriod.Value = value;
}
/// <summary>
/// Stochastic %D smoothing period.
/// </summary>
public int StochasticDPeriod
{
get => _stochasticDPeriod.Value;
set => _stochasticDPeriod.Value = value;
}
/// <summary>
/// Stochastic %K smoothing period.
/// </summary>
public int StochasticSlowing
{
get => _stochasticSlowing.Value;
set => _stochasticSlowing.Value = value;
}
/// <summary>
/// Upper threshold for Stochastic %K.
/// </summary>
public int StochasticUpperLevel
{
get => _stochasticUpperLevel.Value;
set => _stochasticUpperLevel.Value = value;
}
/// <summary>
/// Lower threshold for Stochastic %K.
/// </summary>
public int StochasticLowerLevel
{
get => _stochasticLowerLevel.Value;
set => _stochasticLowerLevel.Value = value;
}
/// <summary>
/// Enable RSI confirmation.
/// </summary>
public bool UseRsi
{
get => _useRsi.Value;
set => _useRsi.Value = value;
}
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI upper threshold.
/// </summary>
public int RsiUpperLevel
{
get => _rsiUpperLevel.Value;
set => _rsiUpperLevel.Value = value;
}
/// <summary>
/// RSI lower threshold.
/// </summary>
public int RsiLowerLevel
{
get => _rsiLowerLevel.Value;
set => _rsiLowerLevel.Value = value;
}
/// <summary>
/// Stop loss distance in pips.
/// </summary>
public int StopLossPips
{
get => _stopLossPips.Value;
set => _stopLossPips.Value = value;
}
/// <summary>
/// Take profit distance in pips.
/// </summary>
public int TakeProfitPips
{
get => _takeProfitPips.Value;
set => _takeProfitPips.Value = value;
}
/// <summary>
/// Breakeven activation distance in pips.
/// </summary>
public int BreakevenPips
{
get => _breakevenPips.Value;
set => _breakevenPips.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="VrZverStrategy"/>.
/// </summary>
public VrZverStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_useMovingAverage = Param(nameof(UseMovingAverage), true)
.SetDisplay("Use EMA", "Enable EMA trend filter", "Signals");
_fastMaPeriod = Param(nameof(FastMaPeriod), 3)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Signals");
_slowMaPeriod = Param(nameof(SlowMaPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Signals");
_verySlowMaPeriod = Param(nameof(VerySlowMaPeriod), 7)
.SetGreaterThanZero()
.SetDisplay("Very Slow EMA", "Very slow EMA period", "Signals");
_useStochastic = Param(nameof(UseStochastic), true)
.SetDisplay("Use Stochastic", "Enable stochastic confirmation", "Signals");
_stochasticKPeriod = Param(nameof(StochasticKPeriod), 42)
.SetGreaterThanZero()
.SetDisplay("Stoch %K", "Stochastic %K period", "Signals");
_stochasticDPeriod = Param(nameof(StochasticDPeriod), 5)
.SetGreaterThanZero()
.SetDisplay("Stoch %D", "Stochastic %D period", "Signals");
_stochasticSlowing = Param(nameof(StochasticSlowing), 7)
.SetGreaterThanZero()
.SetDisplay("Stoch Smoothing", "Stochastic %K smoothing", "Signals");
_stochasticUpperLevel = Param(nameof(StochasticUpperLevel), 55)
.SetDisplay("Stoch Upper", "Upper stochastic threshold", "Signals");
_stochasticLowerLevel = Param(nameof(StochasticLowerLevel), 50)
.SetDisplay("Stoch Lower", "Lower stochastic threshold", "Signals");
_useRsi = Param(nameof(UseRsi), true)
.SetDisplay("Use RSI", "Enable RSI confirmation", "Signals");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "RSI averaging period", "Signals");
_rsiUpperLevel = Param(nameof(RsiUpperLevel), 55)
.SetDisplay("RSI Upper", "Upper RSI threshold", "Signals");
_rsiLowerLevel = Param(nameof(RsiLowerLevel), 50)
.SetDisplay("RSI Lower", "Lower RSI threshold", "Signals");
_stopLossPips = Param(nameof(StopLossPips), 50)
.SetNotNegative()
.SetDisplay("Stop Loss", "Stop loss distance in pips", "Risk");
_takeProfitPips = Param(nameof(TakeProfitPips), 70)
.SetNotNegative()
.SetDisplay("Take Profit", "Take profit distance in pips", "Risk");
_breakevenPips = Param(nameof(BreakevenPips), 20)
.SetNotNegative()
.SetDisplay("Breakeven", "Breakeven activation distance", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_pipSize = 0m;
ResetPositionState();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_fastMa = new ExponentialMovingAverage { Length = FastMaPeriod };
_slowMa = new ExponentialMovingAverage { Length = SlowMaPeriod };
_verySlowMa = new ExponentialMovingAverage { Length = VerySlowMaPeriod };
_stochastic = new StochasticOscillator
{
K = { Length = StochasticKPeriod },
D = { Length = StochasticDPeriod },
};
_rsi = new RelativeStrengthIndex { Length = RsiPeriod };
_pipSize = CalculatePipSize();
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_fastMa, _slowMa, _verySlowMa, _stochastic, _rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _fastMa);
DrawIndicator(area, _slowMa);
DrawIndicator(area, _verySlowMa);
DrawIndicator(area, _stochastic);
DrawIndicator(area, _rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(
ICandleMessage candle,
IIndicatorValue fastValue,
IIndicatorValue slowValue,
IIndicatorValue verySlowValue,
IIndicatorValue stochasticValue,
IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!fastValue.IsFinal || !slowValue.IsFinal || !verySlowValue.IsFinal || !stochasticValue.IsFinal || !rsiValue.IsFinal)
return;
// Extract indicator outputs for the completed candle.
var fast = fastValue.GetValue<decimal>();
var slow = slowValue.GetValue<decimal>();
var verySlow = verySlowValue.GetValue<decimal>();
var stochastic = (StochasticOscillatorValue)stochasticValue;
if (stochastic.K is not decimal stochK || stochastic.D is not decimal stochD)
return;
var rsi = rsiValue.GetValue<decimal>();
var longClosed = HandleLongPosition(candle);
if (!longClosed && Position > 0)
return;
var shortClosed = HandleShortPosition(candle);
if (!shortClosed && Position < 0)
return;
if (Position == 0)
ResetPositionState();
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position != 0)
return;
if (!UseMovingAverage && !UseStochastic && !UseRsi)
return;
// All enabled filters must align to confirm the long scenario.
var longSignal = (!UseMovingAverage || fast > slow && slow > verySlow)
&& (!UseStochastic || stochD < stochK && stochK < StochasticLowerLevel)
&& (!UseRsi || rsi < RsiLowerLevel);
var shortSignal = (!UseMovingAverage || verySlow > slow && slow > fast)
&& (!UseStochastic || stochD > stochK && stochK > StochasticUpperLevel)
&& (!UseRsi || rsi > RsiUpperLevel);
if (longSignal && Volume > 0)
{
EnterLong(candle.ClosePrice);
}
else if (shortSignal && Volume > 0)
{
EnterShort(candle.ClosePrice);
}
}
private void EnterLong(decimal price)
{
BuyMarket();
_longEntryPrice = price;
_longStopPrice = StopLossPips > 0 ? price - StopLossPips * _pipSize : null;
_longTakePrice = TakeProfitPips > 0 ? price + TakeProfitPips * _pipSize : null;
_longBreakevenTrigger = BreakevenPips > 0 ? price + BreakevenPips * _pipSize : null;
_longBreakevenArmed = false;
}
private void EnterShort(decimal price)
{
SellMarket();
_shortEntryPrice = price;
_shortStopPrice = StopLossPips > 0 ? price + StopLossPips * _pipSize : null;
_shortTakePrice = TakeProfitPips > 0 ? price - TakeProfitPips * _pipSize : null;
_shortBreakevenTrigger = BreakevenPips > 0 ? price - BreakevenPips * _pipSize : null;
_shortBreakevenArmed = false;
}
private bool HandleLongPosition(ICandleMessage candle)
{
if (Position <= 0 || _longEntryPrice is null)
return false;
// Exit the long trade if the protective stop is touched within the candle range.
if (_longStopPrice is decimal stop && candle.LowPrice <= stop)
{
SellMarket();
ResetPositionState();
return true;
}
// Take profit when the upper target is reached.
if (_longTakePrice is decimal take && candle.HighPrice >= take)
{
SellMarket();
ResetPositionState();
return true;
}
if (!_longBreakevenArmed && _longBreakevenTrigger is decimal trigger && candle.HighPrice >= trigger)
_longBreakevenArmed = true;
// Once breakeven is armed, protect the entry price if momentum fades.
if (_longBreakevenArmed && candle.LowPrice <= _longEntryPrice.Value)
{
SellMarket();
ResetPositionState();
return true;
}
return false;
}
private bool HandleShortPosition(ICandleMessage candle)
{
if (Position >= 0 || _shortEntryPrice is null)
return false;
// Cover the short trade if the stop level is breached.
if (_shortStopPrice is decimal stop && candle.HighPrice >= stop)
{
BuyMarket();
ResetPositionState();
return true;
}
// Lock in profits if the target is met on the downside move.
if (_shortTakePrice is decimal take && candle.LowPrice <= take)
{
BuyMarket();
ResetPositionState();
return true;
}
if (!_shortBreakevenArmed && _shortBreakevenTrigger is decimal trigger && candle.LowPrice <= trigger)
_shortBreakevenArmed = true;
// Breakeven logic mirrors the long side to guard against reversals.
if (_shortBreakevenArmed && candle.HighPrice >= _shortEntryPrice.Value)
{
BuyMarket();
ResetPositionState();
return true;
}
return false;
}
private void ResetPositionState()
{
_longEntryPrice = null;
_shortEntryPrice = null;
_longStopPrice = null;
_shortStopPrice = null;
_longTakePrice = null;
_shortTakePrice = null;
_longBreakevenTrigger = null;
_shortBreakevenTrigger = null;
_longBreakevenArmed = false;
_shortBreakevenArmed = false;
}
private decimal CalculatePipSize()
{
var step = Security?.PriceStep ?? 0.0001m;
if (step <= 0)
step = 0.0001m;
var decimals = Security?.Decimals ?? 0;
return decimals is 3 or 5 ? step * 10m : step;
}
}
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
from StockSharp.Algo.Indicators import (
ExponentialMovingAverage, StochasticOscillator, RelativeStrengthIndex
)
from StockSharp.Algo.Strategies import Strategy
class vr_zver_strategy(Strategy):
def __init__(self):
super(vr_zver_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4)))
self._use_moving_average = self.Param("UseMovingAverage", True)
self._fast_ma_period = self.Param("FastMaPeriod", 3)
self._slow_ma_period = self.Param("SlowMaPeriod", 5)
self._very_slow_ma_period = self.Param("VerySlowMaPeriod", 7)
self._use_stochastic = self.Param("UseStochastic", True)
self._stochastic_k_period = self.Param("StochasticKPeriod", 42)
self._stochastic_d_period = self.Param("StochasticDPeriod", 5)
self._stochastic_slowing = self.Param("StochasticSlowing", 7)
self._stochastic_upper_level = self.Param("StochasticUpperLevel", 55)
self._stochastic_lower_level = self.Param("StochasticLowerLevel", 50)
self._use_rsi = self.Param("UseRsi", True)
self._rsi_period = self.Param("RsiPeriod", 14)
self._rsi_upper_level = self.Param("RsiUpperLevel", 55)
self._rsi_lower_level = self.Param("RsiLowerLevel", 50)
self._stop_loss_pips = self.Param("StopLossPips", 50)
self._take_profit_pips = self.Param("TakeProfitPips", 70)
self._breakeven_pips = self.Param("BreakevenPips", 20)
self._fast_ma = None
self._slow_ma = None
self._very_slow_ma = None
self._stochastic = None
self._rsi = None
self._pip_size = 0.0
self._long_entry_price = None
self._short_entry_price = None
self._long_stop_price = None
self._short_stop_price = None
self._long_take_price = None
self._short_take_price = None
self._long_breakeven_trigger = None
self._short_breakeven_trigger = None
self._long_breakeven_armed = False
self._short_breakeven_armed = False
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
@property
def UseMovingAverage(self):
return self._use_moving_average.Value
@property
def FastMaPeriod(self):
return self._fast_ma_period.Value
@property
def SlowMaPeriod(self):
return self._slow_ma_period.Value
@property
def VerySlowMaPeriod(self):
return self._very_slow_ma_period.Value
@property
def UseStochastic(self):
return self._use_stochastic.Value
@property
def StochasticKPeriod(self):
return self._stochastic_k_period.Value
@property
def StochasticDPeriod(self):
return self._stochastic_d_period.Value
@property
def StochasticUpperLevel(self):
return self._stochastic_upper_level.Value
@property
def StochasticLowerLevel(self):
return self._stochastic_lower_level.Value
@property
def UseRsi(self):
return self._use_rsi.Value
@property
def RsiPeriod(self):
return self._rsi_period.Value
@property
def RsiUpperLevel(self):
return self._rsi_upper_level.Value
@property
def RsiLowerLevel(self):
return self._rsi_lower_level.Value
@property
def StopLossPips(self):
return self._stop_loss_pips.Value
@property
def TakeProfitPips(self):
return self._take_profit_pips.Value
@property
def BreakevenPips(self):
return self._breakeven_pips.Value
def OnStarted2(self, time):
super(vr_zver_strategy, self).OnStarted2(time)
self._fast_ma = ExponentialMovingAverage()
self._fast_ma.Length = self.FastMaPeriod
self._slow_ma = ExponentialMovingAverage()
self._slow_ma.Length = self.SlowMaPeriod
self._very_slow_ma = ExponentialMovingAverage()
self._very_slow_ma.Length = self.VerySlowMaPeriod
self._stochastic = StochasticOscillator()
self._stochastic.K.Length = self.StochasticKPeriod
self._stochastic.D.Length = self.StochasticDPeriod
self._rsi = RelativeStrengthIndex()
self._rsi.Length = self.RsiPeriod
self._pip_size = self._calculate_pip_size()
subscription = self.SubscribeCandles(self.CandleType)
subscription.BindEx(self._fast_ma, self._slow_ma, self._very_slow_ma, self._stochastic, self._rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._fast_ma)
self.DrawIndicator(area, self._slow_ma)
self.DrawIndicator(area, self._very_slow_ma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, fast_v, slow_v, vs_v, stoch_v, rsi_v):
if candle.State != CandleStates.Finished:
return
if not fast_v.IsFinal or not slow_v.IsFinal or not vs_v.IsFinal or not stoch_v.IsFinal or not rsi_v.IsFinal:
return
fast = float(fast_v.Value)
slow = float(slow_v.Value)
very_slow = float(vs_v.Value)
stoch_k = stoch_v.K
stoch_d = stoch_v.D
if stoch_k is None or stoch_d is None:
return
stoch_k = float(stoch_k)
stoch_d = float(stoch_d)
rsi = float(rsi_v.Value)
long_closed = self._handle_long(candle)
if not long_closed and self.Position > 0:
return
short_closed = self._handle_short(candle)
if not short_closed and self.Position < 0:
return
if self.Position == 0:
self._reset_state()
if self.Position != 0:
return
if not self.UseMovingAverage and not self.UseStochastic and not self.UseRsi:
return
long_signal = (
(not self.UseMovingAverage or (fast > slow and slow > very_slow))
and (not self.UseStochastic or (stoch_d < stoch_k and stoch_k < self.StochasticLowerLevel))
and (not self.UseRsi or rsi < self.RsiLowerLevel)
)
short_signal = (
(not self.UseMovingAverage or (very_slow > slow and slow > fast))
and (not self.UseStochastic or (stoch_d > stoch_k and stoch_k > self.StochasticUpperLevel))
and (not self.UseRsi or rsi > self.RsiUpperLevel)
)
if long_signal and self.Volume > 0:
self._enter_long(float(candle.ClosePrice))
elif short_signal and self.Volume > 0:
self._enter_short(float(candle.ClosePrice))
def _enter_long(self, price):
self.BuyMarket()
self._long_entry_price = price
self._long_stop_price = price - self.StopLossPips * self._pip_size if self.StopLossPips > 0 else None
self._long_take_price = price + self.TakeProfitPips * self._pip_size if self.TakeProfitPips > 0 else None
self._long_breakeven_trigger = price + self.BreakevenPips * self._pip_size if self.BreakevenPips > 0 else None
self._long_breakeven_armed = False
def _enter_short(self, price):
self.SellMarket()
self._short_entry_price = price
self._short_stop_price = price + self.StopLossPips * self._pip_size if self.StopLossPips > 0 else None
self._short_take_price = price - self.TakeProfitPips * self._pip_size if self.TakeProfitPips > 0 else None
self._short_breakeven_trigger = price - self.BreakevenPips * self._pip_size if self.BreakevenPips > 0 else None
self._short_breakeven_armed = False
def _handle_long(self, candle):
if self.Position <= 0 or self._long_entry_price is None:
return False
if self._long_stop_price is not None and float(candle.LowPrice) <= self._long_stop_price:
self.SellMarket(); self._reset_state(); return True
if self._long_take_price is not None and float(candle.HighPrice) >= self._long_take_price:
self.SellMarket(); self._reset_state(); return True
if not self._long_breakeven_armed and self._long_breakeven_trigger is not None and float(candle.HighPrice) >= self._long_breakeven_trigger:
self._long_breakeven_armed = True
if self._long_breakeven_armed and float(candle.LowPrice) <= self._long_entry_price:
self.SellMarket(); self._reset_state(); return True
return False
def _handle_short(self, candle):
if self.Position >= 0 or self._short_entry_price is None:
return False
if self._short_stop_price is not None and float(candle.HighPrice) >= self._short_stop_price:
self.BuyMarket(); self._reset_state(); return True
if self._short_take_price is not None and float(candle.LowPrice) <= self._short_take_price:
self.BuyMarket(); self._reset_state(); return True
if not self._short_breakeven_armed and self._short_breakeven_trigger is not None and float(candle.LowPrice) <= self._short_breakeven_trigger:
self._short_breakeven_armed = True
if self._short_breakeven_armed and float(candle.HighPrice) >= self._short_entry_price:
self.BuyMarket(); self._reset_state(); return True
return False
def _reset_state(self):
self._long_entry_price = None
self._short_entry_price = None
self._long_stop_price = None
self._short_stop_price = None
self._long_take_price = None
self._short_take_price = None
self._long_breakeven_trigger = None
self._short_breakeven_trigger = None
self._long_breakeven_armed = False
self._short_breakeven_armed = False
def _calculate_pip_size(self):
sec = self.Security
step = float(sec.PriceStep) if sec is not None and sec.PriceStep is not None else 0.0001
if step <= 0:
step = 0.0001
decimals = sec.Decimals if sec is not None and sec.Decimals is not None else 0
return step * 10.0 if (decimals == 3 or decimals == 5) else step
def OnReseted(self):
super(vr_zver_strategy, self).OnReseted()
self._pip_size = 0.0
self._reset_state()
def CreateClone(self):
return vr_zver_strategy()