Estrategia RSI Reversion
Estrategia basada en la reversión a la media del RSI
Las pruebas indican un rendimiento anual promedio de aproximadamente 115%. Funciona mejor en el mercado de acciones.
RSI Reversion asume que el precio revertirá después de alcanzar valores extremos del RSI. Cuando el RSI cae por debajo del umbral inferior, compra; cuando está por encima del umbral superior, vende. Las posiciones se cierran cuando el RSI regresa hacia niveles neutros.
Los extremos pueden calibrarse para adaptarse a varios mercados. Usar filtros adicionales como la dirección de la tendencia ayuda a evitar desvanecerse ante movimientos fuertes demasiado pronto.
Detalles
- Criterios de entrada: Señales basadas en RSI.
- Largo/Corto: Ambos direcciones.
- Criterios de salida: Señal opuesta o stop.
- Stops: Sí.
- Valores predeterminados:
RsiPeriod= 14OversoldThreshold= 30mOverboughtThreshold= 70mExitLevel= 50mStopLossPercent= 2mCandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Reversión a la media
- Dirección: Ambos
- Indicadores: RSI
- Stops: Sí
- Complejidad: Básico
- Marco temporal: Intradía (5m)
- 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>
/// Strategy based on RSI mean reversion.
/// Buys when RSI enters the oversold zone, sells when it enters the overbought zone.
/// Exits at the neutral level and uses native actual-fill percent protection.
/// </summary>
public class RsiReversionStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _oversoldThreshold;
private readonly StrategyParam<decimal> _overboughtThreshold;
private readonly StrategyParam<decimal> _exitLevel;
private readonly StrategyParam<decimal> _stopLossPercent;
private decimal _prevRsi;
private bool _hasPrevValues;
private Order _pendingOrder;
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public decimal OversoldThreshold { get => _oversoldThreshold.Value; set => _oversoldThreshold.Value = value; }
public decimal OverboughtThreshold { get => _overboughtThreshold.Value; set => _overboughtThreshold.Value = value; }
public decimal ExitLevel { get => _exitLevel.Value; set => _exitLevel.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
/// <summary>
/// Initializes a new instance of the <see cref="RsiReversionStrategy"/>.
/// </summary>
public RsiReversionStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14).SetGreaterThanZero()
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
.SetOptimize(10, 20, 2);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_oversoldThreshold = Param(nameof(OversoldThreshold), 30m).SetRange(0m, 100m)
.SetDisplay("Oversold Threshold", "Enter long on a strict downward crossing.", "Indicators");
_overboughtThreshold = Param(nameof(OverboughtThreshold), 70m).SetRange(0m, 100m)
.SetDisplay("Overbought Threshold", "Enter short on a strict upward crossing.", "Indicators");
_exitLevel = Param(nameof(ExitLevel), 50m).SetRange(0m, 100m)
.SetDisplay("Exit Level", "Close on return to the neutral level.", "Indicators");
_stopLossPercent = Param(nameof(StopLossPercent), 2m).SetNotNegative()
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection");
OrderRegistering += order => _pendingOrder = order;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType), (Security, DataType.Level1)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = default;
_hasPrevValues = default;
_pendingOrder = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
if (!(OversoldThreshold < ExitLevel && ExitLevel < OverboughtThreshold))
throw new InvalidOperationException("OversoldThreshold must be below ExitLevel, which must be below OverboughtThreshold.");
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);
foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
{
var quotes = new Subscription(DataType.Level1, Security);
quotes.MarketData.BuildField = field;
SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
}
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
private void ObserveProtectionQuote(Level1ChangeMessage quote)
{
// Native protection runs before the callback, including between finished candles.
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevRsi = rsiValue;
return;
}
if (_pendingOrder is not null && _pendingOrder.State is not (OrderStates.Done or OrderStates.Failed))
{
_prevRsi = rsiValue;
return;
}
// Fade entry INTO each extreme; this is not a crossing out of the extreme zone.
if (_prevRsi >= OversoldThreshold && rsiValue < OversoldThreshold && Position <= 0m)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
}
else if (_prevRsi <= OverboughtThreshold && rsiValue > OverboughtThreshold && Position >= 0m)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
}
else if (Position > 0m && rsiValue >= ExitLevel)
SellMarket(Position);
else if (Position < 0m && rsiValue <= ExitLevel)
BuyMarket(Math.Abs(Position));
_prevRsi = rsiValue;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal, Math
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, OrderStates, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
class rsi_reversion_strategy(Strategy):
"""
Strategy based on RSI mean reversion.
Buys when RSI enters oversold, sells when it enters overbought, exits at neutral.
"""
def __init__(self):
super(rsi_reversion_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14).SetGreaterThanZero() \
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._oversold_threshold = self.Param("OversoldThreshold", 30.0).SetRange(0.0, 100.0) \
.SetDisplay("Oversold Threshold", "Enter long on a strict downward crossing.", "Indicators")
self._overbought_threshold = self.Param("OverboughtThreshold", 70.0).SetRange(0.0, 100.0) \
.SetDisplay("Overbought Threshold", "Enter short on a strict upward crossing.", "Indicators")
self._exit_level = self.Param("ExitLevel", 50.0).SetRange(0.0, 100.0) \
.SetDisplay("Exit Level", "Close on return to the neutral level.", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative() \
.SetDisplay("Stop Loss (%)", "Actual-fill percent stop; zero disables it.", "Protection")
self._prev_rsi = Decimal.Zero
self._has_prev_values = False
self._pending_order = None
self.OrderRegistering += self._track_pending
def GetWorkingSecurities(self):
return [(self.Security, self.candle_type), (self.Security, DataType.Level1)]
def _track_pending(self, order):
self._pending_order = order
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_reversion_strategy, self).OnReseted()
self._prev_rsi = Decimal.Zero
self._has_prev_values = False
self._pending_order = None
def OnStarted2(self, time):
super(rsi_reversion_strategy, self).OnStarted2(time)
if not (self._oversold_threshold.Value < self._exit_level.Value < self._overbought_threshold.Value):
raise ValueError("OversoldThreshold must be below ExitLevel, which must be below OverboughtThreshold.")
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawOwnTrades(area)
def _observe_protection_quote(self, quote):
# Native protection runs before this callback, including between signal bars.
pass
def _process_candle(self, candle, rsi_value):
if candle.State != CandleStates.Finished or not self.IsFormedAndOnlineAndAllowTrading():
return
rv = rsi_value
if not self._has_prev_values:
self._has_prev_values = True
self._prev_rsi = rv
return
if self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed):
self._prev_rsi = rv
return
if self._prev_rsi >= Decimal(self._oversold_threshold.Value) and rv < Decimal(self._oversold_threshold.Value) and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif self._prev_rsi <= Decimal(self._overbought_threshold.Value) and rv > Decimal(self._overbought_threshold.Value) and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
elif self.Position > 0 and rv >= Decimal(self._exit_level.Value):
self.SellMarket(self.Position)
elif self.Position < 0 and rv <= Decimal(self._exit_level.Value):
self.BuyMarket(Math.Abs(self.Position))
self._prev_rsi = rv
def CreateClone(self):
return rsi_reversion_strategy()