Стратегия Ichimoku RSI MACD
Трендовая стратегия, комбинирующая облако Ишимоку, RSI и сигналы пересечения MACD.
Детали
- Условия входа: Цена выше/ниже облака Ишимоку с фильтром RSI и пересечением линий MACD.
- Длинные/Короткие: Оба направления.
- Условия выхода: Обратное пересечение MACD.
- Стопы: Нет.
- Значения по умолчанию:
TenkanPeriod= 9KijunPeriod= 26SenkouSpanBPeriod= 52RsiLength= 14RsiOverbought= 70RsiOversold= 30MacdFast= 12MacdSlow= 26MacdSignal= 9CandleType= TimeSpan.FromHours(1)
- Фильтры:
- Категория: Trend Following
- Направление: Оба
- Индикаторы: Ichimoku, RSI, MACD
- Стопы: Нет
- Сложность: Начальная
- Таймфрейм: Внутридневной (1ч)
- 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;
public class IchimokuRsiMacdStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaPeriod;
private readonly StrategyParam<int> _slowEmaPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFastEma;
private decimal _prevSlowEma;
public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public IchimokuRsiMacdStrategy()
{
_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
protected override void OnReseted()
{
base.OnReseted();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
var subscription = SubscribeCandles(CandleType);
subscription.Bind(fastEma, slowEma, ProcessCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
{
if (candle.State != CandleStates.Finished) return;
if (_prevFastEma == 0m || _prevSlowEma == 0m)
{
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
return;
}
if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
BuyMarket();
else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
SellMarket();
_prevFastEma = fastEmaValue;
_prevSlowEma = slowEmaValue;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class ichimoku_rsi_macd_strategy(Strategy):
"""
EMA crossover strategy. Buys when fast EMA crosses above slow EMA,
sells when fast EMA crosses below slow EMA.
"""
def __init__(self):
super(ichimoku_rsi_macd_strategy, self).__init__()
self._fast_ema_period = self.Param("FastEmaPeriod", 120) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_ema_period = self.Param("SlowEmaPeriod", 450) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ichimoku_rsi_macd_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(ichimoku_rsi_macd_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self._fast_ema_period.Value
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self._slow_ema_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def _process_candle(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast = float(fast_val)
slow = float(slow_val)
if self._prev_fast == 0.0 or self._prev_slow == 0.0:
self._prev_fast = fast
self._prev_slow = slow
return
if self._prev_fast <= self._prev_slow and fast > slow and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast < slow and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return ichimoku_rsi_macd_strategy()