Esta estrategia busca patrones de doble fondo y doble techo comparando mínimos y máximos recientes. Un doble fondo ocurre cuando el mínimo más bajo se alcanza dos veces dentro de una ventana de retrospectiva más amplia, mientras que el doble techo utiliza el máximo más alto. Las posiciones largas y cortas se abren en consecuencia y se cierran cuando el precio rompe el extremo opuesto tras formarse un nuevo extremo.
Detalles
Criterios de entrada:
Largo: Doble fondo detectado.
Corto: Doble techo detectado.
Largo/Corto: Ambas direcciones.
Criterios de salida:
Largo: Nuevo máximo por encima del máximo anterior con el precio cayendo por debajo del mínimo anterior.
Corto: Nuevo mínimo por debajo del mínimo anterior con el precio subiendo por encima del máximo anterior.
Stops: Ninguno.
Valores predeterminados:
Length = 100
Lookback = 100
Filtros:
Categoría: Patrón
Dirección: Ambos
Indicadores: Highest, Lowest
Stops: No
Complejidad: Básico
Marco temporal: Intradía
Estacionalidad: No
Redes neuronales: No
Divergencia: No
Nivel de riesgo: Bajo
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>
/// DoubleBottomAndTopHunterStrategy using EMA crossover for trend timing.
/// Enters long on golden cross, short on death cross.
/// </summary>
public class DoubleBottomAndTopHunterStrategy : 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 DoubleBottomAndTopHunterStrategy()
{
_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");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFastEma = 0m;
_prevSlowEma = 0m;
}
/// <inheritdoc />
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 double_bottom_and_top_hunter_strategy(Strategy):
"""
Double Bottom and Top Hunter strategy using EMA crossover.
Enters long on golden cross, short on death cross.
"""
def __init__(self):
super(double_bottom_and_top_hunter_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", "Candle type for strategy", "General")
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(double_bottom_and_top_hunter_strategy, self).OnReseted()
self._prev_fast_ema = 0.0
self._prev_slow_ema = 0.0
def OnStarted2(self, time):
super(double_bottom_and_top_hunter_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.on_process).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 on_process(self, candle, fast_val, slow_val):
if candle.State != CandleStates.Finished:
return
fast_v = float(fast_val)
slow_v = float(slow_val)
if self._prev_fast_ema == 0.0 or self._prev_slow_ema == 0.0:
self._prev_fast_ema = fast_v
self._prev_slow_ema = slow_v
return
if self._prev_fast_ema <= self._prev_slow_ema and fast_v > slow_v and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast_ema >= self._prev_slow_ema and fast_v < slow_v and self.Position >= 0:
self.SellMarket()
self._prev_fast_ema = fast_v
self._prev_slow_ema = slow_v
def CreateClone(self):
return double_bottom_and_top_hunter_strategy()