Parabolic SAR и дивергенция RSI
Стратегия Parabolic SAR RSI Divergence торгует сигналы Parabolic SAR, когда RSI расходится с ценой. Сигналы формируются, когда Parabolic подтверждает настройки дивергенции на внутридневных данных (5м). Такой подход подходит активным трейдерам. Стопы рассчитываются исходя из кратных ATR и параметров SarAccelerationFactor, SarMaxAccelerationFactor. Значения можно изменять для баланса риска и прибыли.
Тестирование показывает среднегодичную доходность около 103%. Стратегию лучше запускать на фондовом рынке.
Подробности
- Условия входа: см. реализацию для условий по индикаторам.
- Длинные/короткие позиции: обе стороны.
- Условия выхода: обратный сигнал или логика стопов.
- Стопы: да, вычисляются на основе индикаторов.
- Значения по умолчанию:
SarAccelerationFactor = 0.02mSarMaxAccelerationFactor = 0.2mRsiPeriod = 14CandleType = TimeSpan.FromMinutes(5).TimeFrame()
- Фильтры:
- Категория: Следование за трендом
- Направление: Оба
- Индикаторы: Parabolic, Divergence
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Внутридневной (5m)
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Да
- Уровень риска: Средний
using System;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy that trades Parabolic SAR trend direction with RSI divergence-style reversals.
/// </summary>
public class ParabolicSarRsiDivergenceStrategy : Strategy
{
private readonly StrategyParam<decimal> _sarAccelerationFactor;
private readonly StrategyParam<decimal> _sarMaxAccelerationFactor;
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<decimal> _rsiOversold;
private readonly StrategyParam<decimal> _rsiOverbought;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private decimal _prevPrice;
private bool _hasPrevValues;
private int _cooldownRemaining;
/// <summary>
/// Strategy parameter: Parabolic SAR acceleration factor.
/// </summary>
public decimal SarAccelerationFactor
{
get => _sarAccelerationFactor.Value;
set => _sarAccelerationFactor.Value = value;
}
/// <summary>
/// Strategy parameter: Parabolic SAR maximum acceleration factor.
/// </summary>
public decimal SarMaxAccelerationFactor
{
get => _sarMaxAccelerationFactor.Value;
set => _sarMaxAccelerationFactor.Value = value;
}
/// <summary>
/// Strategy parameter: RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// Strategy parameter: RSI oversold level.
/// </summary>
public decimal RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
/// <summary>
/// Strategy parameter: RSI overbought level.
/// </summary>
public decimal RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
/// <summary>
/// Strategy parameter: Number of closed candles between position changes.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Strategy parameter: Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public ParabolicSarRsiDivergenceStrategy()
{
_sarAccelerationFactor = Param(nameof(SarAccelerationFactor), 0.02m)
.SetRange(0.01m, 0.25m)
.SetDisplay("SAR Acceleration Factor", "Initial acceleration factor for Parabolic SAR", "Indicator Settings");
_sarMaxAccelerationFactor = Param(nameof(SarMaxAccelerationFactor), 0.2m)
.SetRange(0.1m, 0.5m)
.SetDisplay("SAR Max Acceleration Factor", "Maximum acceleration factor for Parabolic SAR", "Indicator Settings");
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicator Settings");
_rsiOversold = Param(nameof(RsiOversold), 30m)
.SetDisplay("RSI Oversold", "RSI oversold level for bullish reversal detection", "Indicator Settings");
_rsiOverbought = Param(nameof(RsiOverbought), 70m)
.SetDisplay("RSI Overbought", "RSI overbought level for bearish reversal detection", "Indicator Settings");
_cooldownBars = Param(nameof(CooldownBars), 24)
.SetNotNegative()
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "Trading");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(2).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 OnReseted()
{
base.OnReseted();
_prevRsi = 0;
_prevPrice = 0;
_hasPrevValues = false;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex
{
Length = RsiPeriod
};
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
var rsiArea = CreateChartArea();
if (rsiArea != null)
DrawIndicator(rsiArea, rsi);
}
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (!_hasPrevValues)
{
StoreState(candle.ClosePrice, rsiValue);
return;
}
if (_cooldownRemaining > 0)
_cooldownRemaining--;
var bullishDivergence = candle.ClosePrice < _prevPrice && rsiValue > _prevRsi;
var bearishDivergence = candle.ClosePrice > _prevPrice && rsiValue < _prevRsi;
var bullishReversal = _prevRsi < RsiOversold && rsiValue >= RsiOversold;
var bearishReversal = _prevRsi > RsiOverbought && rsiValue <= RsiOverbought;
var canTrade = _cooldownRemaining == 0;
if (canTrade && (bullishDivergence || bullishReversal) && Position <= 0)
{
BuyMarket(Volume + (Position < 0 ? Math.Abs(Position) : 0m));
_cooldownRemaining = CooldownBars;
}
else if (canTrade && (bearishDivergence || bearishReversal) && Position >= 0)
{
SellMarket(Volume + (Position > 0 ? Math.Abs(Position) : 0m));
_cooldownRemaining = CooldownBars;
}
StoreState(candle.ClosePrice, rsiValue);
}
private void StoreState(decimal price, decimal rsi)
{
_prevPrice = price;
_prevRsi = rsi;
_hasPrevValues = true;
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class parabolic_sar_rsi_divergence_strategy(Strategy):
"""
Strategy that trades Parabolic SAR trend direction with RSI divergence-style reversals.
"""
def __init__(self):
super(parabolic_sar_rsi_divergence_strategy, self).__init__()
self._sar_acceleration_factor = self.Param("SarAccelerationFactor", 0.02) \
.SetDisplay("SAR Acceleration Factor", "Initial acceleration factor for Parabolic SAR", "Indicator Settings")
self._sar_max_acceleration_factor = self.Param("SarMaxAccelerationFactor", 0.2) \
.SetDisplay("SAR Max Acceleration Factor", "Maximum acceleration factor for Parabolic SAR", "Indicator Settings")
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicator Settings")
self._rsi_oversold = self.Param("RsiOversold", 30.0) \
.SetDisplay("RSI Oversold", "RSI oversold level for bullish reversal detection", "Indicator Settings")
self._rsi_overbought = self.Param("RsiOverbought", 70.0) \
.SetDisplay("RSI Overbought", "RSI overbought level for bearish reversal detection", "Indicator Settings")
self._cooldown_bars = self.Param("CooldownBars", 24) \
.SetDisplay("Cooldown Bars", "Closed candles to wait before another position change", "Trading")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(2))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_rsi = 0.0
self._prev_price = 0.0
self._has_prev_values = False
self._cooldown_remaining = 0
@property
def SarAccelerationFactor(self):
return self._sar_acceleration_factor.Value
@SarAccelerationFactor.setter
def SarAccelerationFactor(self, value):
self._sar_acceleration_factor.Value = value
@property
def SarMaxAccelerationFactor(self):
return self._sar_max_acceleration_factor.Value
@SarMaxAccelerationFactor.setter
def SarMaxAccelerationFactor(self, value):
self._sar_max_acceleration_factor.Value = value
@property
def RsiPeriod(self):
return self._rsi_period.Value
@RsiPeriod.setter
def RsiPeriod(self, value):
self._rsi_period.Value = value
@property
def RsiOversold(self):
return self._rsi_oversold.Value
@RsiOversold.setter
def RsiOversold(self, value):
self._rsi_oversold.Value = value
@property
def RsiOverbought(self):
return self._rsi_overbought.Value
@RsiOverbought.setter
def RsiOverbought(self, value):
self._rsi_overbought.Value = value
@property
def CooldownBars(self):
return self._cooldown_bars.Value
@CooldownBars.setter
def CooldownBars(self, value):
self._cooldown_bars.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def GetWorkingSecurities(self):
return [(self.Security, self.CandleType)]
def OnReseted(self):
super(parabolic_sar_rsi_divergence_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._prev_price = 0.0
self._has_prev_values = False
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(parabolic_sar_rsi_divergence_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self.RsiPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, self.ProcessCandle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
rsi_area = self.CreateChartArea()
if rsi_area is not None:
self.DrawIndicator(rsi_area, rsi)
self.StartProtection(
takeProfit=Unit(2, UnitTypes.Percent),
stopLoss=Unit(1, UnitTypes.Percent)
)
def ProcessCandle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
rsi_val = float(rsi_value)
close_price = float(candle.ClosePrice)
if not self._has_prev_values:
self._prev_price = close_price
self._prev_rsi = rsi_val
self._has_prev_values = True
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
bullish_divergence = close_price < self._prev_price and rsi_val > self._prev_rsi
bearish_divergence = close_price > self._prev_price and rsi_val < self._prev_rsi
bullish_reversal = self._prev_rsi < self.RsiOversold and rsi_val >= self.RsiOversold
bearish_reversal = self._prev_rsi > self.RsiOverbought and rsi_val <= self.RsiOverbought
can_trade = self._cooldown_remaining == 0
if can_trade and (bullish_divergence or bullish_reversal) and self.Position <= 0:
vol = self.Volume
if self.Position < 0:
vol = self.Volume + abs(self.Position)
self.BuyMarket(vol)
self._cooldown_remaining = self.CooldownBars
elif can_trade and (bearish_divergence or bearish_reversal) and self.Position >= 0:
vol = self.Volume
if self.Position > 0:
vol = self.Volume + abs(self.Position)
self.SellMarket(vol)
self._cooldown_remaining = self.CooldownBars
self._prev_price = close_price
self._prev_rsi = rsi_val
def CreateClone(self):
return parabolic_sar_rsi_divergence_strategy()