Стратегия Parabolic SAR RSI
Стратегия сочетает индикатор Parabolic SAR для определения направления тренда и RSI для подтверждения входа на уровнях перепроданности или перекупленности.
Тестирование показывает среднегодичную доходность около 166%. Стратегию лучше запускать на фондовом рынке.
Parabolic SAR обозначает текущий тренд, а RSI показывает степень его истощения. Сделки открываются, когда оба индикатора указывают в одну сторону.
Такое сочетание подходит тем, кто предпочитает трейлинг-стопы, поскольку SAR также задаёт динамический выход. Стоп-лосс перемещается вдоль кривой SAR.
Подробности
- Условия входа:
- Лонг:
Close > SAR && RSI < RsiOversold - Шорт:
Close < SAR && RSI > RsiOverbought
- Лонг:
- Длинные/короткие: обе стороны
- Условия выхода:
- Лонг:
Close < SAR - Шорт:
Close > SAR
- Лонг:
- Стопы: используется Parabolic SAR в качестве трейлинг-стопа
- Значения по умолчанию:
SarAf= 0.02mSarMaxAf= 0.2mRsiPeriod= 14RsiOversold= 30mRsiOverbought= 70mCandleType= TimeSpan.FromMinutes(5).TimeFrame()
- Фильтры:
- Категория: Средняя обратная
- Направление: Оба
- Индикаторы: Parabolic SAR, RSI
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Среднесрочный
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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>
/// Strategy combining Parabolic SAR for trend direction
/// and RSI for entry confirmation.
/// </summary>
public class ParabolicSarRsiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<int> _cooldownBars;
private decimal _sarValue;
private int _cooldown;
/// <summary>
/// Candle type for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// RSI oversold level.
/// </summary>
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
/// <summary>
/// RSI overbought level.
/// </summary>
public decimal RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Strategy constructor.
/// </summary>
public ParabolicSarRsiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetRange(7, 21)
.SetDisplay("RSI Period", "Period of the RSI indicator", "Indicators");
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetDisplay("RSI Oversold", "RSI oversold level", "Indicators");
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetDisplay("RSI Overbought", "RSI overbought level", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 130)
.SetDisplay("Cooldown Bars", "Bars between trades", "General")
.SetRange(5, 500);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_sarValue = 0;
_cooldown = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var parabolicSar = new ParabolicSar();
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var subscription = SubscribeCandles(CandleType);
// ParabolicSar takes candle input - use BindEx
subscription.BindEx(parabolicSar, OnSar);
// RSI for main logic
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, parabolicSar);
DrawOwnTrades(area);
var rsiArea = CreateChartArea();
if (rsiArea != null)
DrawIndicator(rsiArea, rsi);
}
}
private void OnSar(ICandleMessage candle, IIndicatorValue sarValue)
{
if (sarValue.IsFormed)
_sarValue = sarValue.ToDecimal();
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_sarValue == 0)
return;
var close = candle.ClosePrice;
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Long: price above SAR + RSI not overbought
if (close > _sarValue && rsiValue < RsiOverbought && Position == 0)
{
BuyMarket();
_cooldown = CooldownBars;
}
// Short: price below SAR + RSI not oversold
else if (close < _sarValue && rsiValue > RsiOversold && Position == 0)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit long: SAR flips above price
if (Position > 0 && close < _sarValue)
{
SellMarket();
_cooldown = CooldownBars;
}
// Exit short: SAR flips below price
else if (Position < 0 && close > _sarValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
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 ParabolicSar, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
class parabolic_sar_rsi_strategy(Strategy):
"""
Strategy combining Parabolic SAR for trend direction
and RSI for entry confirmation.
"""
def __init__(self):
super(parabolic_sar_rsi_strategy, self).__init__()
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetRange(7, 21) \
.SetDisplay("RSI Period", "Period of the RSI indicator", "Indicators")
self._rsi_oversold = self.Param("RsiOversold", 30.0) \
.SetDisplay("RSI Oversold", "RSI oversold level", "Indicators")
self._rsi_overbought = self.Param("RsiOverbought", 70.0) \
.SetDisplay("RSI Overbought", "RSI overbought level", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 130) \
.SetDisplay("Cooldown Bars", "Bars between trades", "General") \
.SetRange(5, 500)
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
@candle_type.setter
def candle_type(self, value):
self._candle_type.Value = value
@property
def rsi_period(self):
return self._rsi_period.Value
@rsi_period.setter
def rsi_period(self, value):
self._rsi_period.Value = value
@property
def rsi_oversold(self):
return self._rsi_oversold.Value
@rsi_oversold.setter
def rsi_oversold(self, value):
self._rsi_oversold.Value = value
@property
def rsi_overbought(self):
return self._rsi_overbought.Value
@rsi_overbought.setter
def rsi_overbought(self, value):
self._rsi_overbought.Value = value
@property
def cooldown_bars(self):
return self._cooldown_bars.Value
@cooldown_bars.setter
def cooldown_bars(self, value):
self._cooldown_bars.Value = value
def OnStarted2(self, time):
super(parabolic_sar_rsi_strategy, self).OnStarted2(time)
self._cooldown = 0
self._sar_value = 0
parabolic_sar = ParabolicSar()
rsi = RelativeStrengthIndex()
rsi.Length = self.rsi_period
subscription = self.SubscribeCandles(self.candle_type)
# ParabolicSar takes candle input - use BindEx
subscription.BindEx(parabolic_sar, self.OnSar)
# RSI for main logic
subscription.Bind(rsi, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, parabolic_sar)
self.DrawOwnTrades(area)
rsi_area = self.CreateChartArea()
if rsi_area is not None:
self.DrawIndicator(rsi_area, rsi)
def OnSar(self, candle, sar_value):
if sar_value.IsFormed:
self._sar_value = float(sar_value)
def ProcessCandle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
sv = self._sar_value
if sv == 0:
return
if self._cooldown > 0:
self._cooldown -= 1
return
# Long: price above SAR + RSI not overbought
if close > sv and rsi_value < self.rsi_overbought and self.Position == 0:
self.BuyMarket()
self._cooldown = self.cooldown_bars
# Short: price below SAR + RSI not oversold
elif close < sv and rsi_value > self.rsi_oversold and self.Position == 0:
self.SellMarket()
self._cooldown = self.cooldown_bars
# Exit long: SAR flips above price
if self.Position > 0 and close < sv:
self.SellMarket()
self._cooldown = self.cooldown_bars
# Exit short: SAR flips below price
elif self.Position < 0 and close > sv:
self.BuyMarket()
self._cooldown = self.cooldown_bars
def OnReseted(self):
super(parabolic_sar_rsi_strategy, self).OnReseted()
self._cooldown = 0
self._sar_value = 0
def CreateClone(self):
return parabolic_sar_rsi_strategy()