Стратегия Exp RSIOMA
Стратегия Exp RSIOMA использует индикатор RSI of moving average (RSIOMA) для торговли на разворотах и пробоях. Значения RSI сглаживаются дополнительной скользящей средней, образуя сигнальную линию и гистограмму. Стратегия поддерживает четыре режима:
- Breakdown – вход при пересечении RSI заданных уровней.
- HistTwist – вход при изменении направления гистограммы.
- SignalTwist – вход при изменении направления сигнальной линии.
- HistDisposition – вход при пересечении гистограммы и сигнальной линии.
Позиции на покупку и продажу можно открывать и закрывать независимо.
Детали
- Условия входа: зависит от
Mode - Лонг/шорт: оба направления
- Условия выхода: противоположный сигнал
- Стопы: нет
- Значения по умолчанию:
CandleType= 4 часаRsiPeriod= 14SignalPeriod= 21HighLevel= 20LowLevel= -20
- Фильтры:
- Категория: Тренд
- Направление: Оба
- Индикаторы: RSI
- Стопы: Нет
- Сложность: Средняя
- Таймфрейм: Внутридневной
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// Strategy based on the RSI crossover with an EMA of RSI (RSIOMA style).
/// Buys when RSI crosses above its EMA and sells when RSI crosses below.
/// </summary>
public class ExpRsiomaStrategy : Strategy
{
private readonly StrategyParam<int> _rsiPeriod;
private readonly StrategyParam<int> _emaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevRsi;
private decimal _prevEma;
private bool _hasPrev;
/// <summary>RSI calculation length.</summary>
public int RsiPeriod { get => _rsiPeriod.Value; set => _rsiPeriod.Value = value; }
/// <summary>EMA smoothing period.</summary>
public int EmaPeriod { get => _emaPeriod.Value; set => _emaPeriod.Value = value; }
/// <summary>Candle type.</summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public ExpRsiomaStrategy()
{
_rsiPeriod = Param(nameof(RsiPeriod), 21)
.SetDisplay("RSI Period", "RSI calculation length", "Parameters")
.SetGreaterThanZero();
_emaPeriod = Param(nameof(EmaPeriod), 14)
.SetDisplay("EMA Period", "EMA smoothing period", "Parameters")
.SetGreaterThanZero();
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Timeframe for candles", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevRsi = 0m;
_prevEma = 0m;
_hasPrev = false;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hasPrev = false;
var rsi = new RelativeStrengthIndex { Length = RsiPeriod };
var rsiEma = new ExponentialMovingAverage { Length = EmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(rsi, (candle, rsiValue) =>
{
if (candle.State != CandleStates.Finished)
return;
var emaResult = rsiEma.Process(new DecimalIndicatorValue(rsiEma, rsiValue, candle.ServerTime) { IsFinal = true });
if (!rsiEma.IsFormed)
return;
var emaValue = emaResult.ToDecimal();
if (_hasPrev)
{
var crossUp = _prevRsi <= _prevEma && rsiValue > emaValue;
var crossDown = _prevRsi >= _prevEma && rsiValue < emaValue;
if (crossUp && Position == 0)
BuyMarket();
else if (crossDown && Position == 0)
SellMarket();
}
_prevRsi = rsiValue;
_prevEma = emaValue;
_hasPrev = true;
})
.Start();
StartProtection(
takeProfit: new Unit(2, UnitTypes.Percent),
stopLoss: new Unit(1, UnitTypes.Percent)
);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, rsi);
DrawOwnTrades(area);
}
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import RelativeStrengthIndex, ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class exp_rsioma_strategy(Strategy):
def __init__(self):
super(exp_rsioma_strategy, self).__init__()
self._rsi_period = self.Param("RsiPeriod", 21)
self._ema_period = self.Param("EmaPeriod", 14)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._prev_rsi = 0.0
self._prev_ema = 0.0
self._has_prev = False
self._rsi_ema = None
@property
def RsiPeriod(self):
return self._rsi_period.Value
@RsiPeriod.setter
def RsiPeriod(self, value):
self._rsi_period.Value = value
@property
def EmaPeriod(self):
return self._ema_period.Value
@EmaPeriod.setter
def EmaPeriod(self, value):
self._ema_period.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(exp_rsioma_strategy, self).OnStarted2(time)
self._has_prev = False
self._prev_rsi = 0.0
self._prev_ema = 0.0
self._rsi_ema = ExponentialMovingAverage()
self._rsi_ema.Length = self.EmaPeriod
rsi = RelativeStrengthIndex()
rsi.Length = self.RsiPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(rsi, self.ProcessCandle).Start()
self.StartProtection(
Unit(2.0, UnitTypes.Percent),
Unit(1.0, UnitTypes.Percent))
def ProcessCandle(self, candle, rsi_value):
if candle.State != CandleStates.Finished:
return
rsi_val = float(rsi_value)
ema_result = process_float(self._rsi_ema, rsi_val, candle.OpenTime, True)
if not self._rsi_ema.IsFormed:
return
ema_val = float(ema_result)
if self._has_prev:
cross_up = self._prev_rsi <= self._prev_ema and rsi_val > ema_val
cross_down = self._prev_rsi >= self._prev_ema and rsi_val < ema_val
if cross_up and self.Position == 0:
self.BuyMarket()
elif cross_down and self.Position == 0:
self.SellMarket()
self._prev_rsi = rsi_val
self._prev_ema = ema_val
self._has_prev = True
def OnReseted(self):
super(exp_rsioma_strategy, self).OnReseted()
self._prev_rsi = 0.0
self._prev_ema = 0.0
self._has_prev = False
self._rsi_ema = None
def CreateClone(self):
return exp_rsioma_strategy()