Тестирование показывает среднегодичную доходность около 112%. Стратегию лучше запускать на рынке Форекс.
Stochastic RSI Cross наблюдает за линиями %K и %D индикатора StochRSI. Бычье пересечение вблизи зоны перепроданности служит сигналом покупки, медвежье пересечение возле перекупленности — сигналом продажи, противоположное пересечение закрывает позицию.
Из-за быстрой осцилляции StochRSI сигналы могут появляться часто. Многие трейдеры требуют, чтобы пересечение происходило возле экстремальных значений, чтобы отфильтровать шум.
Детали
Условия входа: сигналы на основе RSI, Stochastic.
Длинные/короткие: в обе стороны.
Условия выхода: противоположный сигнал или стоп.
Стопы: да.
Значения по умолчанию:
RsiPeriod = 14
StochPeriod = 14
KPeriod = 3
DPeriod = 3
StopLossPercent = 2m
CandleType = TimeSpan.FromMinutes(5)
Фильтры:
Категория: Тренд
Направление: Оба
Индикаторы: RSI, Stochastic
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 Stochastic Oscillator K/D crossover.
/// Buys when %K crosses above %D in oversold zone.
/// Sells when %K crosses below %D in overbought zone.
/// </summary>
public class StochasticRsiCrossStrategy : Strategy
{
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<int> _dPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevK;
private decimal _prevD;
private bool _hasPrevValues;
private int _cooldown;
/// <summary>
/// K period.
/// </summary>
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
/// <summary>
/// D period.
/// </summary>
public int DPeriod
{
get => _dPeriod.Value;
set => _dPeriod.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="StochasticRsiCrossStrategy"/>.
/// </summary>
public StochasticRsiCrossStrategy()
{
_kPeriod = Param(nameof(KPeriod), 14)
.SetDisplay("K Period", "Period for %K line", "Indicators")
.SetOptimize(10, 20, 2);
_dPeriod = Param(nameof(DPeriod), 3)
.SetDisplay("D Period", "Period for %D line", "Indicators")
.SetOptimize(3, 5, 1);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).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();
_prevK = default;
_prevD = default;
_hasPrevValues = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var stoch = new StochasticOscillator
{
K = { Length = KPeriod },
D = { Length = DPeriod }
};
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(stoch, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, stoch);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue stochValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var stoch = (IStochasticOscillatorValue)stochValue;
if (stoch.K is not decimal k || stoch.D is not decimal d)
return;
if (!_hasPrevValues)
{
_hasPrevValues = true;
_prevK = k;
_prevD = d;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevK = k;
_prevD = d;
return;
}
// %K crosses above %D in oversold zone (< 20) - buy
if (_prevK <= _prevD && k > d && k < 20 && Position <= 0)
{
var volume = Volume + Math.Abs(Position);
BuyMarket(volume);
_cooldown = 5;
}
// %K crosses below %D in overbought zone (> 80) - sell
else if (_prevK >= _prevD && k < d && k > 80 && Position >= 0)
{
var volume = Volume + Math.Abs(Position);
SellMarket(volume);
_cooldown = 5;
}
_prevK = k;
_prevD = d;
}
}
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 StochasticOscillator
from StockSharp.Algo.Strategies import Strategy
class stochastic_rsi_cross_strategy(Strategy):
"""
Stochastic K/D crossover strategy.
Buys when %K crosses above %D in oversold zone.
Sells when %K crosses below %D in overbought zone.
"""
def __init__(self):
super(stochastic_rsi_cross_strategy, self).__init__()
self._k_period = self.Param("KPeriod", 14).SetDisplay("K Period", "Period for %K line", "Indicators")
self._d_period = self.Param("DPeriod", 3).SetDisplay("D Period", "Period for %D line", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_k = 0.0
self._prev_d = 0.0
self._has_prev = False
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(stochastic_rsi_cross_strategy, self).OnReseted()
self._prev_k = 0.0
self._prev_d = 0.0
self._has_prev = False
self._cooldown = 0
def OnStarted2(self, time):
super(stochastic_rsi_cross_strategy, self).OnStarted2(time)
stoch = StochasticOscillator()
stoch.K.Length = self._k_period.Value
stoch.D.Length = self._d_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(stoch, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, stoch)
self.DrawOwnTrades(area)
def _process_candle(self, candle, stoch_val):
if candle.State != CandleStates.Finished:
return
if stoch_val.K is None or stoch_val.D is None:
return
k = float(stoch_val.K)
d = float(stoch_val.D)
if not self._has_prev:
self._has_prev = True
self._prev_k = k
self._prev_d = d
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_k = k
self._prev_d = d
return
# %K crosses above %D in oversold zone (< 20)
if self._prev_k <= self._prev_d and k > d and k < 20 and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
self._cooldown = 5
# %K crosses below %D in overbought zone (> 80)
elif self._prev_k >= self._prev_d and k < d and k > 80 and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
self._cooldown = 5
self._prev_k = k
self._prev_d = d
def CreateClone(self):
return stochastic_rsi_cross_strategy()