Estrategia Parabolic Sar Rsi
Estrategia que combina el Parabolic SAR para la dirección de la tendencia y el RSI para la confirmación de entrada con condiciones de sobreventa/sobrecompra.
Las pruebas indican un retorno anual promedio de aproximadamente 166%. Funciona mejor en el mercado de acciones.
Aquí el Parabolic SAR define la tendencia predominante y el RSI mide el agotamiento. Las operaciones se abren una vez que ambos indicadores señalan la misma dirección.
La combinación es atractiva para quienes prefieren stops móviles, ya que el SAR también proporciona una salida dinámica. La colocación del stop sigue la curva del SAR.
Detalles
- Criterios de entrada:
- Largo:
Close > SAR && RSI < RsiOversold
- Corto:
Close < SAR && RSI > RsiOverbought
- Largo/Corto: Ambos
- Criterios de salida:
- Largo:
Close < SAR
- Corto:
Close > SAR
- Stops: Utiliza el Parabolic SAR como stop móvil
- Valores predeterminados:
SarAf = 0.02m
SarMaxAf = 0.2m
RsiPeriod = 14
RsiOversold = 30m
RsiOverbought = 70m
CandleType = TimeSpan.FromMinutes(5).TimeFrame()
Una señal de entrada contra una posición abierta la invierte.
- Filtros:
- Categoría: Reversión a la media
- Dirección: Ambos
- Indicadores: Parabolic SAR, Parabolic SAR, RSI
- Stops: Sí
- Complejidad: Intermedio
- Marco temporal: Medio plazo
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Medio
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>
/// Parabolic SAR RSI strategy.
/// A close above the Parabolic SAR with RSI below RsiOversold goes long and a close below the SAR with RSI above RsiOverbought goes short,
/// reversing an opposite position. The SAR is the trailing stop: a long closes when price closes below it and a short when price closes above it.
/// </summary>
public class ParabolicSarRsiStrategy : Strategy
{
private readonly StrategyParam<decimal> _sarAf;
private readonly StrategyParam<decimal> _sarMaxAf;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<DataType> _candleType;
/// <summary>
/// Initial acceleration factor of the SAR.
/// </summary>
public decimal SarAf
{
get => _sarAf.Value;
set => _sarAf.Value = value;
}
/// <summary>
/// Maximum acceleration factor of the SAR.
/// </summary>
public decimal SarMaxAf
{
get => _sarMaxAf.Value;
set => _sarMaxAf.Value = value;
}
/// <summary>
/// Period of RSI.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI level for longs.
/// </summary>
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
/// <summary>
/// RSI level for shorts.
/// </summary>
public decimal RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public ParabolicSarRsiStrategy()
{
_sarAf = Param(nameof(SarAf), 0.02m)
.SetGreaterThanZero()
.SetDisplay("SAR Acceleration", "Initial acceleration factor of the SAR", "SAR");
_sarMaxAf = Param(nameof(SarMaxAf), 0.2m)
.SetGreaterThanZero()
.SetDisplay("SAR Max Acceleration", "Maximum acceleration factor of the SAR", "SAR");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period of RSI", "RSI");
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetDisplay("RSI Oversold", "RSI level for longs", "RSI");
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetDisplay("RSI Overbought", "RSI level for shorts", "RSI");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var sar = new ParabolicSar
{
Acceleration = SarAf,
AccelerationMax = SarMaxAf,
};
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(sar, rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sar);
DrawOwnTrades(area);
var oscillators = CreateChartArea();
if (oscillators != null)
{
DrawIndicator(oscillators, rsi);
}
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue sarValue, IIndicatorValue rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
// The first SAR value is formed but empty.
if (!sarValue.IsFormed || sarValue.IsEmpty || !rsiValue.IsFormed)
return;
var sar = sarValue.GetValue<decimal>();
var rsi = rsiValue.GetValue<decimal>();
var close = candle.ClosePrice;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (close > sar && rsi < RsiOversold && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (close < sar && rsi > RsiOverbought && Position >= 0)
SellMarket(Volume + Math.Abs(Position));
else if (Position > 0 && close < sar)
SellMarket(Position);
else if (Position < 0 && close > sar)
BuyMarket(-Position);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ParabolicSar, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class parabolic_sar_rsi_strategy(Strategy):
"""
Parabolic SAR RSI strategy.
A close above the Parabolic SAR with RSI below RsiOversold goes long and a close below the SAR with RSI above RsiOverbought goes short,
reversing an opposite position. The SAR is the trailing stop: a long closes when price closes below it and a short when price closes above it.
"""
def __init__(self):
super(parabolic_sar_rsi_strategy, self).__init__()
self._sar_af = self.Param("SarAf", 0.02).SetGreaterThanZero().SetDisplay("SAR Acceleration", "Initial acceleration factor of the SAR", "SAR")
self._sar_max_af = self.Param("SarMaxAf", 0.2).SetGreaterThanZero().SetDisplay("SAR Max Acceleration", "Maximum acceleration factor of the SAR", "SAR")
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero().SetDisplay("RSI Period", "Period of RSI", "RSI")
self._rsi_oversold = self.Param("RsiOversold", 30.0).SetDisplay("RSI Oversold", "RSI level for longs", "RSI")
self._rsi_overbought = self.Param("RsiOverbought", 70.0).SetDisplay("RSI Overbought", "RSI level for shorts", "RSI")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(parabolic_sar_rsi_strategy, self).OnStarted2(time)
sar = ParabolicSar()
sar.Acceleration = Decimal(self._sar_af.Value)
sar.AccelerationMax = Decimal(self._sar_max_af.Value)
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(sar, rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sar)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, rsi)
def _process_candle(self, candle, sar_value, rsi_value):
if candle.State != CandleStates.Finished:
return
# The first SAR value is formed but empty.
if not sar_value.IsFormed or sar_value.IsEmpty or not rsi_value.IsFormed:
return
sar = sar_value.GetValue[Decimal](None)
rsi = rsi_value.GetValue[Decimal](None)
close = candle.ClosePrice
if not self.IsFormedAndOnlineAndAllowTrading():
return
if close > sar and rsi < Decimal(self._rsi_oversold.Value) and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif close < sar and rsi > Decimal(self._rsi_overbought.Value) and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and close < sar:
self.SellMarket(self.Position)
elif self.Position < 0 and close > sar:
self.BuyMarket(-self.Position)
def CreateClone(self):
return parabolic_sar_rsi_strategy()