Estrategia RSI Laguerre
Estrategia basada en el RSI Laguerre
Las pruebas indican un rendimiento anual promedio de aproximadamente 109%. Funciona mejor en el mercado de criptomonedas.
El RSI Laguerre suaviza el RSI estándar para reducir el ruido. La estrategia compra cuando el valor Laguerre cruza hacia arriba desde la zona de sobreventa y vende cuando cruza hacia abajo desde la sobrecompra, saliendo cuando regresa a niveles medios.
El filtrado Laguerre ayuda a evitar condiciones agitadas que afectan las señales del RSI regular. El método es popular para capturar oscilaciones en gráficos intradía ignorando las fluctuaciones menores.
Detalles
- Criterios de entrada: Señales basadas en RSI.
- Largo/Corto: Ambos direcciones.
- Criterios de salida: Señal opuesta o stop.
- Stops: Sí.
- Valores predeterminados:
Gamma= 0.7mStopLossPercent= 2mCandleType= TimeSpan.FromMinutes(5)
- Filtros:
- Categoría: Tendencia
- 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>
/// Native four-stage Laguerre RSI crossings with midpoint exits and actual-fill percent protection.
/// </summary>
public class LaguerreRsiStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<decimal> _gamma;
private readonly StrategyParam<decimal> _stopLossPercent;
private decimal _prevRsi;
private bool _hasPrevValues;
private Order _pendingOrder;
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public decimal Gamma { get => _gamma.Value; set => _gamma.Value = value; }
public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
/// <summary>
/// Initializes a new instance of the <see cref="LaguerreRsiStrategy"/>.
/// </summary>
public LaguerreRsiStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_gamma = Param(nameof(Gamma), 0.7m).SetRange(0.000001m, 0.999999m)
.SetDisplay("Gamma", "Four-stage Laguerre smoothing coefficient.", "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);
var rsi = new LaguerreRSI { Gamma = Gamma };
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;
}
// RSI crosses up from oversold (30) - buy
if (_prevRsi < 30 && rsiValue >= 30 && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
}
// RSI crosses down from overbought (70) - sell
else if (_prevRsi > 70 && rsiValue <= 70 && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
}
else if (Position > 0m && rsiValue >= 50m)
SellMarket(Position);
else if (Position < 0m && rsiValue <= 50m)
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 LaguerreRSI
from StockSharp.Algo.Strategies import Strategy
class laguerre_rsi_strategy(Strategy):
"""
Native four-stage Laguerre RSI with midpoint exits and actual-fill percent protection.
"""
def __init__(self):
super(laguerre_rsi_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Timeframe", "General")
self._gamma = self.Param("Gamma", 0.7).SetRange(0.000001, 0.999999) \
.SetDisplay("Gamma", "Four-stage Laguerre smoothing coefficient.", "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 = 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(laguerre_rsi_strategy, self).OnReseted()
self._prev_rsi = Decimal.Zero
self._has_prev = False
self._pending_order = None
def OnStarted2(self, time):
super(laguerre_rsi_strategy, self).OnStarted2(time)
rsi = LaguerreRSI()
rsi.Gamma = Decimal(self._gamma.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_val):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
rsi = rsi_val
if not self._has_prev:
self._has_prev = True
self._prev_rsi = rsi
return
if self._pending_order is not None and self._pending_order.State not in (OrderStates.Done, OrderStates.Failed):
self._prev_rsi = rsi
return
if self._prev_rsi < 30 and rsi >= 30 and self.Position <= 0:
self.BuyMarket(self.Volume + Math.Abs(self.Position))
elif self._prev_rsi > 70 and rsi <= 70 and self.Position >= 0:
self.SellMarket(self.Volume + Math.Abs(self.Position))
elif self.Position > 0 and rsi >= 50:
self.SellMarket(self.Position)
elif self.Position < 0 and rsi <= 50:
self.BuyMarket(Math.Abs(self.Position))
self._prev_rsi = rsi
def CreateClone(self):
return laguerre_rsi_strategy()