Тестирование показывает среднегодичную доходность около 115%. Стратегию лучше запускать на фондовом рынке.
RSI Reversion предполагает возврат цены после достижения экстремальных значений RSI. При значении RSI ниже нижнего порога открывается покупка; при превышении верхнего порога — продажа. Позиции закрываются по мере возврата RSI к нейтральным уровням.
Экстремумы можно настроить под разные рынки. Использование дополнительных фильтров, например направления тренда, помогает не входить против сильных движений слишком рано.
Детали
Условия входа: сигналы на основе RSI.
Длинные/короткие: в обе стороны.
Условия выхода: противоположный сигнал или стоп.
Стопы: да.
Значения по умолчанию:
RsiPeriod = 14
OversoldThreshold = 30m
OverboughtThreshold = 70m
ExitLevel = 50m
StopLossPercent = 2m
CandleType = TimeSpan.FromMinutes(5)
Фильтры:
Категория: Mean Reversion
Направление: Оба
Индикаторы: RSI
Стопы: Да
Сложность: Базовая
Таймфрейм: Внутридневной (5м)
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 based on RSI mean reversion.
/// Buys when RSI crosses up from oversold zone, sells when RSI crosses down from overbought.
/// Uses SMA as trend filter.
/// </summary>
public class RsiReversionStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _smaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private bool _hasPrevValues;
private int _cooldown;
/// <summary>
/// RSI period.
/// </summary>
public int RsiPeriod
{
get => _rsiPeriod.Value;
set => _rsiPeriod.Value = value;
}
/// <summary>
/// SMA period for trend filter.
/// </summary>
public int SmaPeriod
{
get => _smaPeriod.Value;
set => _smaPeriod.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of the <see cref="RsiReversionStrategy"/>.
/// </summary>
public RsiReversionStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 14)
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
.SetOptimize(10, 20, 2);
_smaPeriod = Param(nameof(SmaPeriod), 50)
.SetDisplay("SMA Period", "Period for SMA trend filter", "Indicators")
.SetOptimize(30, 70, 10);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).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 = default;
_hasPrevValues = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var sma = new SimpleMovingAverage { Length = SmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (rsiValue == 0 || smaValue == 0)
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevRsi = rsiValue;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevRsi = rsiValue;
return;
}
var price = candle.ClosePrice;
// RSI crosses up from oversold (30) = buy (mean reversion)
if (_prevRsi < 30 && rsiValue >= 30 && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_cooldown = 10;
}
// RSI crosses down from overbought (70) = sell (mean reversion)
else if (_prevRsi > 70 && rsiValue <= 70 && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_cooldown = 10;
}
_prevRsi = rsiValue;
}
}
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 RelativeStrengthIndex, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class rsi_reversion_strategy(Strategy):
"""
Strategy based on RSI mean reversion.
Buys when RSI crosses up from oversold zone, sells when RSI crosses down from overbought.
Uses SMA as trend filter.
"""
def __init__(self):
super(rsi_reversion_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 14) \
.SetDisplay("RSI Period", "Period for RSI calculation", "Indicators")
self._sma_period = self.Param("SmaPeriod", 50) \
.SetDisplay("SMA Period", "Period for SMA trend filter", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_rsi = 0.0
self._has_prev_values = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(rsi_reversion_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._has_prev_values = False
self._cooldown = 0
def OnStarted2(self, time):
super(rsi_reversion_strategy, self).OnStarted2(time)
rsi = RelativeStrengthIndex()
rsi.Length = self._rsi_period.Value
sma = SimpleMovingAverage()
sma.Length = self._sma_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(rsi, sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, rsi)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, rsi_value, sma_value):
if candle.State != CandleStates.Finished:
return
rv = float(rsi_value)
sv = float(sma_value)
if rv == 0 or sv == 0:
return
if not self._has_prev_values:
self._has_prev_values = True
self._prev_rsi = rv
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_rsi = rv
return
if self._prev_rsi < 30 and rv >= 30 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._cooldown = 10
elif self._prev_rsi > 70 and rv <= 70 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._cooldown = 10
self._prev_rsi = rv
def CreateClone(self):
return rsi_reversion_strategy()