SAR RSI MTS Strategie
Überblick
Die SAR RSI MTS Strategie ist eine direkte Übersetzung des ursprünglichen MetaTrader 5-Expertenberaters "SAR RSI MTS" in die StockSharp High-Level-API. Das System folgt der Richtung des Parabolic SAR-Indikators und bestätigt Einstiege mit dem Relative Strength Index (RSI). Es arbeitet nur auf abgeschlossenen Kerzen (Standard-Zeitrahmen 1 Stunde) und respektiert ein konfigurierbares Maximum für die Netto-Positionsgröße.
Indikatoren und Daten
- Parabolic SAR (
Acceleration = SarStep, AccelerationStep = SarStep, AccelerationMax = SarMax).
- Relative Strength Index mit anpassbarer Periode und neutralem Niveau (Standard 50).
- Kerzen werden von
CandleType geliefert, das standardmäßig stündliche Zeitrahmen-Daten verwendet.
Intern berechnet die Strategie einen Pip-Wert aus den Sicherheits-Metadaten. Wenn das Symbol 3 oder 5 Dezimalstellen hat, multipliziert es den Preisschritt mit 10, was der Pip-Verarbeitung des ursprünglichen MQL-Programms entspricht.
Einstiegslogik
Ein neuer Trade wird beim Schließen jeder fertigen Kerze ausgewertet, sobald beide Indikatoren gültige Werte produziert haben:
Long-Setup
- Der Parabolic SAR-Wert der vorherigen Bar liegt unter dem aktuellen Schlusskurs und der aktuelle SAR hat sich gegenüber dem vorherigen Wert erhöht.
- RSI liegt über dem neutralen Schwellenwert und steigt im Vergleich zur vorherigen Ablesung.
- Wenn das Konto bereits netto short ist, kauft die Strategie zunächst genug Volumen, um die Position umzukehren, und eröffnet dann einen neuen Long entsprechend dem
Volume-Parameter unter Einhaltung des MaxPosition-Limits.
Short-Setup
- Der vorherige Parabolic SAR-Wert liegt über dem aktuellen Schlusskurs und der aktuelle SAR hat sich verringert.
- RSI liegt unter dem neutralen Schwellenwert und fällt im Vergleich zum vorherigen Wert.
- Bestehende Long-Positionen werden abgebaut, bevor der neue Short eröffnet wird. Weitere Shorts sind erlaubt, bis die absolute Position
MaxPosition erreicht.
Alle Vergleiche verwenden die Instrumentgenauigkeit, damit Gleichheitstests dem ursprünglichen CompareDoubles-Helper aus MQL entsprechen.
Ausstieg und Risikomanagement
Risikokontrollen werden vor der Prüfung neuer Einstiege bei jeder fertigen Kerze ausgewertet:
- Fester Stop-Loss in Pips, umgerechnet in Preiseinheiten und auf den durchschnittlichen Einstiegspreis der aktuellen Netto-Position angewendet.
- Fester Take-Profit in Pips, symmetrisch zum Stop-Loss behandelt.
- Trailing Stop, der erst aktiv wird, nachdem der unrealisierte Gewinn
TrailingStop + TrailingStep überschreitet. Der Stop wird in diskreten Schritten verschoben und ahmt die "Trailing"-Routine der MQL-Strategie nach.
- Wenn keines der oben genannten zutrifft, wird der Trailing-Zustand zurückgesetzt, sobald die Position flach wird.
Alle Ausstiege schließen die gesamte Netto-Position (Long oder Short). Wenn eine Schutzregel ausgelöst wird, überspringt die Strategie die Signalauswertung für dieselbe Bar und spiegelt das Verhalten von broker-seitigen Stop-Orders in der ursprünglichen Implementierung wider.
Parameter
| Parameter |
Beschreibung |
StopLossPips |
Stop-Loss-Abstand in Pips. Ein Wert von 0 deaktiviert den Schutz-Stop. |
TakeProfitPips |
Take-Profit-Abstand in Pips. Deaktiviert wenn auf 0 gesetzt. |
TrailingStopPips |
Abstand des Trailing Stops. Deaktiviert wenn auf 0 gesetzt. |
TrailingStepPips |
Mindestpreisverbesserung, die erforderlich ist, bevor der Trailing Stop vorgerückt wird. |
SarStep |
Beschleunigungsschritt für Parabolic SAR; wird auch als anfänglicher Beschleunigungsfaktor verwendet. |
SarMax |
Maximaler Beschleunigungsfaktor für Parabolic SAR. |
RsiPeriod |
Lookback-Periode für den RSI-Indikator. |
RsiNeutralLevel |
RSI-Schwellenwert zur Trennung von bullischer und bärischer Tendenz (Standard 50). |
CandleType |
Für Berechnungen verwendetes Kerzen-Abonnement (Standard 1 Stunde). |
MaxPosition |
Maximal erlaubte absolute Netto-Position der Strategie. |
Zusätzliche Hinweise
- Die Standardkonfiguration reproduziert die ursprünglichen EA-Eingaben: 10 Pip Stop, 40 Pip Ziel, 15/5 Pip Trailing Stop, Parabolic SAR
0.05/0.5 und RSI-Periode 14.
- Das Volumen wird durch die Basis-
Strategy.Volume-Eigenschaft gesteuert. Die Positionsskalierung respektiert MaxPosition und behandelt Umkehrungen automatisch.
- Indikator-Bindungen und Order-Routing stützen sich vollständig auf die StockSharp High-Level-API ohne manuellen Serienzugriff und stellen die Einhaltung der Projektrichtlinien sicher.
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>
/// Parabolic SAR and RSI strategy translated from the original MQL implementation.
/// </summary>
public class SarRsiMtsStrategy : Strategy
{
private readonly StrategyParam<decimal> _stopLossPips;
private readonly StrategyParam<decimal> _takeProfitPips;
private readonly StrategyParam<decimal> _trailingStopPips;
private readonly StrategyParam<decimal> _trailingStepPips;
private readonly StrategyParam<decimal> _sarStep;
private readonly StrategyParam<decimal> _sarMax;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiNeutralLevel;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _maxPosition;
private decimal? _previousSar;
private decimal? _previousRsi;
private decimal? _longTrailingStop;
private decimal? _shortTrailingStop;
private decimal _pipSize;
private decimal _entryPrice;
private DateTimeOffset _lastTradeTime;
/// <summary>
/// Stop loss distance expressed in pips.
/// </summary>
public decimal StopLossPips
{
get => _stopLossPips.Value;
set => _stopLossPips.Value = value;
}
/// <summary>
/// Take profit distance expressed in pips.
/// </summary>
public decimal TakeProfitPips
{
get => _takeProfitPips.Value;
set => _takeProfitPips.Value = value;
}
/// <summary>
/// Trailing stop distance expressed in pips.
/// </summary>
public decimal TrailingStopPips
{
get => _trailingStopPips.Value;
set => _trailingStopPips.Value = value;
}
/// <summary>
/// Trailing step distance expressed in pips.
/// </summary>
public decimal TrailingStepPips
{
get => _trailingStepPips.Value;
set => _trailingStepPips.Value = value;
}
/// <summary>
/// Parabolic SAR acceleration step.
/// </summary>
public decimal SarStep
{
get => _sarStep.Value;
set => _sarStep.Value = value;
}
/// <summary>
/// Parabolic SAR maximum acceleration.
/// </summary>
public decimal SarMax
{
get => _sarMax.Value;
set => _sarMax.Value = value;
}
/// <summary>
/// RSI lookback period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI neutral level used for bullish or bearish confirmation.
/// </summary>
public decimal RsiNeutralLevel
{
get => _rsiNeutralLevel.Value;
set => _rsiNeutralLevel.Value = value;
}
/// <summary>
/// Candle type used for indicator calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Maximum absolute net position allowed by the strategy.
/// </summary>
public decimal MaxPosition
{
get => _maxPosition.Value;
set => _maxPosition.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="SarRsiMtsStrategy"/> class.
/// </summary>
public SarRsiMtsStrategy()
{
_stopLossPips = Param(nameof(StopLossPips), 10m)
.SetNotNegative()
.SetDisplay("Stop Loss (pips)", "Stop loss distance in pips", "Risk");
_takeProfitPips = Param(nameof(TakeProfitPips), 40m)
.SetNotNegative()
.SetDisplay("Take Profit (pips)", "Take profit distance in pips", "Risk");
_trailingStopPips = Param(nameof(TrailingStopPips), 15m)
.SetNotNegative()
.SetDisplay("Trailing Stop (pips)", "Trailing stop distance in pips", "Risk");
_trailingStepPips = Param(nameof(TrailingStepPips), 5m)
.SetNotNegative()
.SetDisplay("Trailing Step (pips)", "Trailing step distance in pips", "Risk");
_sarStep = Param(nameof(SarStep), 0.05m)
.SetGreaterThanZero()
.SetDisplay("SAR Step", "Parabolic SAR acceleration step", "Indicators");
_sarMax = Param(nameof(SarMax), 0.5m)
.SetGreaterThanZero()
.SetDisplay("SAR Maximum", "Parabolic SAR maximum acceleration", "Indicators");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Lookback period for RSI", "Indicators");
_rsiNeutralLevel = Param(nameof(RsiNeutralLevel), 50m)
.SetDisplay("RSI Neutral", "Neutral RSI threshold separating bullish and bearish bias", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type for indicator calculations", "General");
_maxPosition = Param(nameof(MaxPosition), 5m)
.SetGreaterThanZero()
.SetDisplay("Max Position", "Maximum absolute net position allowed", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_previousSar = null;
_previousRsi = null;
_longTrailingStop = null;
_shortTrailingStop = null;
_pipSize = 0;
_entryPrice = 0;
_lastTradeTime = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_pipSize = CalculatePipSize();
var parabolicSar = new ParabolicSar
{
Acceleration = SarStep,
AccelerationStep = SarStep,
AccelerationMax = SarMax
};
var rsi = new RelativeStrengthIndex
{
Length = RsiPeriod
};
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(parabolicSar, rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, parabolicSar);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal sarValue, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (ManageRisk(candle))
return;
if (sarValue == 0m || rsiValue == 0m)
return;
if (!_previousSar.HasValue || !_previousRsi.HasValue)
{
_previousSar = sarValue;
_previousRsi = rsiValue;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_previousSar = sarValue;
_previousRsi = rsiValue;
return;
}
// Cooldown: skip if a trade was placed within the last ~240 candles (5-min candles = ~1200 min)
if (_lastTradeTime != default && (candle.OpenTime - _lastTradeTime) < TimeSpan.FromMinutes(1200))
{
_previousSar = sarValue;
_previousRsi = rsiValue;
return;
}
var sarPrev = _previousSar.Value;
var rsiPrev = _previousRsi.Value;
var price = candle.ClosePrice;
var buySignal = sarPrev < price
&& !AreClose(sarPrev, price)
&& sarValue > sarPrev
&& rsiValue > RsiNeutralLevel
&& rsiValue > rsiPrev
&& !AreClose(rsiValue, rsiPrev);
if (buySignal)
{
EnterLong(candle);
}
else
{
var sellSignal = sarPrev > price
&& !AreClose(sarPrev, price)
&& sarValue < sarPrev
&& rsiValue < RsiNeutralLevel
&& rsiValue < rsiPrev
&& !AreClose(rsiValue, rsiPrev);
if (sellSignal)
EnterShort(candle);
}
_previousSar = sarValue;
_previousRsi = rsiValue;
}
private void EnterLong(ICandleMessage candle)
{
var tradeVolume = Volume;
if (tradeVolume <= 0m)
return;
var maxPosition = MaxPosition;
if (maxPosition <= 0m)
return;
var current = Position;
var target = current < 0 ? Math.Min(maxPosition, tradeVolume) : Math.Min(maxPosition, current + tradeVolume);
var required = target - current;
if (required <= 0m)
return;
BuyMarket(required);
_longTrailingStop = null;
_shortTrailingStop = null;
_lastTradeTime = candle.OpenTime;
}
private void EnterShort(ICandleMessage candle)
{
var tradeVolume = Volume;
if (tradeVolume <= 0m)
return;
var maxPosition = MaxPosition;
if (maxPosition <= 0m)
return;
var current = Position;
var target = current > 0 ? -Math.Min(maxPosition, tradeVolume) : Math.Max(-maxPosition, current - tradeVolume);
var required = current - target;
if (required <= 0m)
return;
SellMarket(required);
_longTrailingStop = null;
_shortTrailingStop = null;
_lastTradeTime = candle.OpenTime;
}
private bool ManageRisk(ICandleMessage candle)
{
if (Position > 0m)
{
var entryPrice = _entryPrice;
if (entryPrice <= 0m)
return false;
var trailingTriggered = UpdateLongTrailing(candle, entryPrice);
if (trailingTriggered)
return true;
var stopDistance = GetPriceOffset(StopLossPips);
if (stopDistance > 0m)
{
var stopPrice = entryPrice - stopDistance;
if (candle.LowPrice <= stopPrice)
{
SellMarket(Position);
ResetTrailing();
return true;
}
}
var takeDistance = GetPriceOffset(TakeProfitPips);
if (takeDistance > 0m)
{
var takePrice = entryPrice + takeDistance;
if (candle.HighPrice >= takePrice)
{
SellMarket(Position);
ResetTrailing();
return true;
}
}
}
else if (Position < 0m)
{
var entryPrice = _entryPrice;
if (entryPrice <= 0m)
return false;
var trailingTriggered = UpdateShortTrailing(candle, entryPrice);
if (trailingTriggered)
return true;
var stopDistance = GetPriceOffset(StopLossPips);
if (stopDistance > 0m)
{
var stopPrice = entryPrice + stopDistance;
if (candle.HighPrice >= stopPrice)
{
BuyMarket(Math.Abs(Position));
ResetTrailing();
return true;
}
}
var takeDistance = GetPriceOffset(TakeProfitPips);
if (takeDistance > 0m)
{
var takePrice = entryPrice - takeDistance;
if (candle.LowPrice <= takePrice)
{
BuyMarket(Math.Abs(Position));
ResetTrailing();
return true;
}
}
}
else
{
ResetTrailing();
}
return false;
}
private bool UpdateLongTrailing(ICandleMessage candle, decimal entryPrice)
{
var trailingDistance = GetPriceOffset(TrailingStopPips);
if (trailingDistance <= 0m)
{
_longTrailingStop = null;
return false;
}
var trailingStep = GetPriceOffset(TrailingStepPips);
var profit = candle.ClosePrice - entryPrice;
if (profit >= trailingDistance + trailingStep)
{
var candidate = candle.ClosePrice - trailingDistance;
var threshold = candle.ClosePrice - (trailingDistance + trailingStep);
if (!_longTrailingStop.HasValue || _longTrailingStop.Value < threshold)
_longTrailingStop = candidate;
}
if (_longTrailingStop.HasValue && candle.LowPrice <= _longTrailingStop.Value)
{
SellMarket(Position);
ResetTrailing();
return true;
}
return false;
}
private bool UpdateShortTrailing(ICandleMessage candle, decimal entryPrice)
{
var trailingDistance = GetPriceOffset(TrailingStopPips);
if (trailingDistance <= 0m)
{
_shortTrailingStop = null;
return false;
}
var trailingStep = GetPriceOffset(TrailingStepPips);
var profit = entryPrice - candle.ClosePrice;
if (profit >= trailingDistance + trailingStep)
{
var candidate = candle.ClosePrice + trailingDistance;
var threshold = candle.ClosePrice + (trailingDistance + trailingStep);
if (!_shortTrailingStop.HasValue || _shortTrailingStop.Value > threshold)
_shortTrailingStop = candidate;
}
if (_shortTrailingStop.HasValue && candle.HighPrice >= _shortTrailingStop.Value)
{
BuyMarket(Math.Abs(Position));
ResetTrailing();
return true;
}
return false;
}
private decimal GetPriceOffset(decimal pips)
{
if (pips <= 0m)
return 0m;
var pip = _pipSize;
if (pip <= 0m)
pip = Security?.PriceStep ?? 1m;
return pip * pips;
}
private decimal CalculatePipSize()
{
var priceStep = Security?.PriceStep ?? 0m;
if (priceStep <= 0m)
priceStep = 1m;
var decimals = Security?.Decimals;
var adjust = decimals == 3 || decimals == 5 ? 10m : 1m;
return priceStep * adjust;
}
private void ResetTrailing()
{
_longTrailingStop = null;
_shortTrailingStop = null;
}
/// <inheritdoc />
protected override void OnOwnTradeReceived(MyTrade trade)
{
base.OnOwnTradeReceived(trade);
if (trade?.Trade == null) return;
if (Position != 0 && _entryPrice == 0m)
_entryPrice = trade.Trade.Price;
if (Position == 0)
_entryPrice = 0m;
}
private bool AreClose(decimal value1, decimal value2)
{
var decimals = Security?.Decimals ?? 4;
return Math.Round(value1 - value2, decimals) == 0m;
}
}
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
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ParabolicSar, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class sar_rsi_mts_strategy(Strategy):
def __init__(self):
super(sar_rsi_mts_strategy, self).__init__()
self._sl_pips = self.Param("StopLossPips", 10.0).SetNotNegative().SetDisplay("Stop Loss (pips)", "SL distance", "Risk")
self._tp_pips = self.Param("TakeProfitPips", 40.0).SetNotNegative().SetDisplay("Take Profit (pips)", "TP distance", "Risk")
self._trailing_pips = self.Param("TrailingStopPips", 15.0).SetNotNegative().SetDisplay("Trailing Stop (pips)", "Trailing stop distance", "Risk")
self._trailing_step_pips = self.Param("TrailingStepPips", 5.0).SetNotNegative().SetDisplay("Trailing Step (pips)", "Trailing step distance", "Risk")
self._sar_step = self.Param("SarStep", 0.05).SetGreaterThanZero().SetDisplay("SAR Step", "Parabolic SAR acceleration step", "Indicators")
self._sar_max = self.Param("SarMax", 0.5).SetGreaterThanZero().SetDisplay("SAR Maximum", "Parabolic SAR maximum acceleration", "Indicators")
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero().SetDisplay("RSI Period", "Lookback period for RSI", "Indicators")
self._rsi_neutral = self.Param("RsiNeutralLevel", 50.0).SetDisplay("RSI Neutral", "Neutral RSI threshold", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Candle type", "General")
@property
def CandleType(self): return self._candle_type.Value
@CandleType.setter
def CandleType(self, value): self._candle_type.Value = value
def OnReseted(self):
super(sar_rsi_mts_strategy, self).OnReseted()
self._prev_sar = None
self._prev_rsi = None
self._entry_price = 0
self._long_trailing = None
self._short_trailing = None
def OnStarted2(self, time):
super(sar_rsi_mts_strategy, self).OnStarted2(time)
self._prev_sar = None
self._prev_rsi = None
self._entry_price = 0
self._long_trailing = None
self._short_trailing = None
self._pip_size = 1.0
if self.Security is not None and self.Security.PriceStep is not None and self.Security.PriceStep > 0:
self._pip_size = float(self.Security.PriceStep)
sar = ParabolicSar()
sar.Acceleration = self._sar_step.Value
sar.AccelerationStep = self._sar_step.Value
sar.AccelerationMax = self._sar_max.Value
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(sar, rsi, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawIndicator(area, sar)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def OnProcess(self, candle, sar_val, rsi_val):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
# Manage risk first
if self._manage_risk(candle, close):
self._prev_sar = sar_val
self._prev_rsi = rsi_val
return
if self._prev_sar is None or self._prev_rsi is None:
self._prev_sar = sar_val
self._prev_rsi = rsi_val
return
prev_sar = self._prev_sar
prev_rsi = self._prev_rsi
# Buy signal: SAR below price, SAR rising, RSI above neutral and rising
buy_signal = (prev_sar < close
and sar_val > prev_sar
and rsi_val > self._rsi_neutral.Value
and rsi_val > prev_rsi)
if buy_signal:
if self.Position < 0:
self.BuyMarket()
if self.Position <= 0:
self.BuyMarket()
self._entry_price = close
self._long_trailing = None
self._short_trailing = None
else:
# Sell signal: SAR above price, SAR falling, RSI below neutral and falling
sell_signal = (prev_sar > close
and sar_val < prev_sar
and rsi_val < self._rsi_neutral.Value
and rsi_val < prev_rsi)
if sell_signal:
if self.Position > 0:
self.SellMarket()
if self.Position >= 0:
self.SellMarket()
self._entry_price = close
self._long_trailing = None
self._short_trailing = None
self._prev_sar = sar_val
self._prev_rsi = rsi_val
def _manage_risk(self, candle, close):
pip = self._pip_size
if self.Position > 0 and self._entry_price > 0:
# Trailing
trail_dist = self._trailing_pips.Value * pip
trail_step = self._trailing_step_pips.Value * pip
if trail_dist > 0:
profit = close - self._entry_price
if profit >= trail_dist + trail_step:
candidate = close - trail_dist
threshold = close - (trail_dist + trail_step)
if self._long_trailing is None or self._long_trailing < threshold:
self._long_trailing = candidate
if self._long_trailing is not None and float(candle.LowPrice) <= self._long_trailing:
self.SellMarket()
self._reset_trailing()
return True
# Stop loss
sl_dist = self._sl_pips.Value * pip
if sl_dist > 0:
if float(candle.LowPrice) <= self._entry_price - sl_dist:
self.SellMarket()
self._reset_trailing()
return True
# Take profit
tp_dist = self._tp_pips.Value * pip
if tp_dist > 0:
if float(candle.HighPrice) >= self._entry_price + tp_dist:
self.SellMarket()
self._reset_trailing()
return True
elif self.Position < 0 and self._entry_price > 0:
# Trailing
trail_dist = self._trailing_pips.Value * pip
trail_step = self._trailing_step_pips.Value * pip
if trail_dist > 0:
profit = self._entry_price - close
if profit >= trail_dist + trail_step:
candidate = close + trail_dist
threshold = close + (trail_dist + trail_step)
if self._short_trailing is None or self._short_trailing > threshold:
self._short_trailing = candidate
if self._short_trailing is not None and float(candle.HighPrice) >= self._short_trailing:
self.BuyMarket()
self._reset_trailing()
return True
# Stop loss
sl_dist = self._sl_pips.Value * pip
if sl_dist > 0:
if float(candle.HighPrice) >= self._entry_price + sl_dist:
self.BuyMarket()
self._reset_trailing()
return True
# Take profit
tp_dist = self._tp_pips.Value * pip
if tp_dist > 0:
if float(candle.LowPrice) <= self._entry_price - tp_dist:
self.BuyMarket()
self._reset_trailing()
return True
else:
self._reset_trailing()
return False
def _reset_trailing(self):
self._long_trailing = None
self._short_trailing = None
self._entry_price = 0
def CreateClone(self):
return sar_rsi_mts_strategy()