Estrategia RSI + 1200
La Estrategia RSI + 1200 busca capturar reversiones de tendencia confirmadas por
fuerza relativa y un filtro de tendencia de marco temporal superior. Combina un Relative
Strength Index clásico de 14 períodos con una Media Móvil Exponencial calculada
sobre una serie de 120 minutos en múltiples marcos temporales ("1200" hace referencia al marco
temporal superior en el concepto original). Las señales de trading solo se toman cuando
el momentum y el filtro de tendencia se alinean.
Las pruebas retroactivas en pares de criptomonedas líquidas muestran que el método funciona mejor
en mercados direccionales sostenidos. Los períodos volátiles o de rango pueden producir señales
falsas, por lo que la estrategia incluye un pequeño margen de precio alrededor de la EMA y un
stop‑loss basado en porcentaje para ayudar a gestionar el riesgo.
Se abre una operación larga cuando RSI cruza hacia arriba desde territorio sobrevendido y
el precio está dentro del uno por ciento por encima de la EMA del marco temporal superior. La
configuración corta es la condición especular. Las posiciones se cierran cuando RSI alcanza el
extremo opuesto, señalando el agotamiento del movimiento. Un stop protector también se coloca a
stopLossPercent por ciento desde el precio de entrada.
Detalles
- Condiciones de entrada
- Largo: RSI cruza por encima de
rsiOversold y el cierre es <= 1% por encima de la EMA.
- Corto: RSI cruza por debajo de
rsiOverbought y el cierre es >= 1% por debajo de la EMA.
- Condiciones de salida
- Largo: RSI sube por encima de
rsiOverbought.
- Corto: RSI cae por debajo de
rsiOversold.
- Stops: Stop‑loss porcentual opcional via
stopLossPercent.
- Parámetros predeterminados
rsiLength = 14
rsiOverbought = 72
rsiOversold = 28
emaLength = 150
mtfTimeframe = 120 minutos
stopLossPercent = 0.10 (10%)
- Filtros
- Categoría: Seguimiento de tendencia
- Dirección: Ambos
- Indicadores: RSI, EMA
- Stops: Sí
- Complejidad: Medio
- Marco temporal: Intradía / multi‑marco temporal
- Estacionalidad: No
- Redes neuronales: No
- Divergencia: No
- Nivel de riesgo: Moderado
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// RSI + 1200 Strategy.
/// Uses RSI crossover signals with EMA trend filter.
/// Buys when RSI crosses above oversold level while price is above EMA.
/// Sells when RSI crosses below overbought level while price is below EMA.
/// </summary>
public class RsiPlus1200Strategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _rsiOverbought;
private readonly StrategyParam<int> _rsiOversold;
private readonly StrategyParam<int> _emaLength;
private readonly StrategyParam<int> _cooldownBars;
private RelativeStrengthIndex _rsi;
private ExponentialMovingAverage _ema;
private decimal _prevRsi;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
public int RsiOverbought
{
get => _rsiOverbought.Value;
set => _rsiOverbought.Value = value;
}
public int RsiOversold
{
get => _rsiOversold.Value;
set => _rsiOversold.Value = value;
}
public int EmaLength
{
get => _emaLength.Value;
set => _emaLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public RsiPlus1200Strategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI calculation length", "RSI");
_rsiOverbought = Param(nameof(RsiOverbought), 70)
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI");
_rsiOversold = Param(nameof(RsiOversold), 30)
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI");
_emaLength = Param(nameof(EmaLength), 100)
.SetGreaterThanZero()
.SetDisplay("EMA Length", "EMA period for trend filter", "Moving Average");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_rsi = null;
_ema = null;
_prevRsi = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_rsi = new RelativeStrengthIndex { Length = RsiLength };
_ema = new ExponentialMovingAverage { Length = EmaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_rsi, _ema, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _ema);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, decimal rsiVal, decimal emaVal)
{
if (candle.State != CandleStates.Finished)
return;
if (!_rsi.IsFormed || !_ema.IsFormed)
{
_prevRsi = rsiVal;
return;
}
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevRsi = rsiVal;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevRsi = rsiVal;
return;
}
if (_prevRsi == 0)
{
_prevRsi = rsiVal;
return;
}
// RSI crossovers
var rsiCrossUpOversold = rsiVal > RsiOversold && _prevRsi <= RsiOversold;
var rsiCrossDownOverbought = rsiVal < RsiOverbought && _prevRsi >= RsiOverbought;
// Buy: RSI crosses above oversold + price above EMA (uptrend)
if (rsiCrossUpOversold && candle.ClosePrice > emaVal && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Sell: RSI crosses below overbought + price below EMA (downtrend)
else if (rsiCrossDownOverbought && candle.ClosePrice < emaVal && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
// Exit long: RSI overbought
else if (Position > 0 && rsiVal > RsiOverbought)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
// Exit short: RSI oversold
else if (Position < 0 && rsiVal < RsiOversold)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_prevRsi = rsiVal;
}
}
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
from StockSharp.Algo.Indicators import RelativeStrengthIndex, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class rsi_plus_1200_strategy(Strategy):
"""RSI + 1200 Strategy."""
def __init__(self):
super(rsi_plus_1200_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._rsi_length = self.Param("RsiLength", 14) \
.SetDisplay("RSI Length", "RSI calculation length", "RSI")
self._rsi_overbought = self.Param("RsiOverbought", 70) \
.SetDisplay("RSI Overbought", "RSI overbought level", "RSI")
self._rsi_oversold = self.Param("RsiOversold", 30) \
.SetDisplay("RSI Oversold", "RSI oversold level", "RSI")
self._ema_length = self.Param("EmaLength", 100) \
.SetDisplay("EMA Length", "EMA period for trend filter", "Moving Average")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._rsi = None
self._ema = None
self._prev_rsi = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_plus_1200_strategy, self).OnReseted()
self._rsi = None
self._ema = None
self._prev_rsi = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(rsi_plus_1200_strategy, self).OnStarted2(time)
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
self._ema = ExponentialMovingAverage()
self._ema.Length = int(self._ema_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._rsi, self._ema, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, rsi_val, ema_val):
if candle.State != CandleStates.Finished:
return
if not self._rsi.IsFormed or not self._ema.IsFormed:
self._prev_rsi = float(rsi_val)
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_rsi = float(rsi_val)
return
rsi = float(rsi_val)
ema = float(ema_val)
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_rsi = rsi
return
if self._prev_rsi == 0.0:
self._prev_rsi = rsi
return
rsi_ob = int(self._rsi_overbought.Value)
rsi_os = int(self._rsi_oversold.Value)
cooldown = int(self._cooldown_bars.Value)
close = float(candle.ClosePrice)
rsi_cross_up_oversold = rsi > rsi_os and self._prev_rsi <= rsi_os
rsi_cross_down_overbought = rsi < rsi_ob and self._prev_rsi >= rsi_ob
if rsi_cross_up_oversold and close > ema and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif rsi_cross_down_overbought and close < ema and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
elif self.Position > 0 and rsi > rsi_ob:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and rsi < rsi_os:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._prev_rsi = rsi
def CreateClone(self):
return rsi_plus_1200_strategy()