Esta estrategia opera en largo cuando se forma un patrón harmónico Gartley 222 alcista.
El patrón se detecta utilizando pivotes altos y bajos validados por razones de Fibonacci.
Se abre una posición larga PivotLength barras después de la confirmación cuando el precio cierra por encima del punto C.
La protección cierra la posición en un objetivo de extensión de Fibonacci o en un stop-loss porcentual fijo.
Detalles
Criterios de entrada:
Patrón Gartley 222 alcista confirmado
Entrada retrasada PivotLength barras
Largo/Corto: Solo largos
Criterios de salida:
Stop-loss o take profit
Stops:
Stop Loss % por debajo de la entrada
TP Fib Extension por encima de la entrada
Valores predeterminados:
Pivot Length = 5
Fib Tolerance = 0.05
TP Fib Extension = 1.27
Stop Loss % = 2
Filtros:
Categoría: Patrón
Dirección: Solo largos
Indicadores: Pivot points, Fibonacci
Stops: Sí
Complejidad: Intermedio
Marco temporal: Medio plazo
Estacionalidad: No
Redes neuronales: No
Divergencia: No
Nivel de riesgo: Medio
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 Gartley222Strategy : 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 Gartley222Strategy()
{
_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 gartley_222_strategy(Strategy):
"""
Gartley222: EMA crossover strategy.
Buys when fast EMA crosses above slow EMA, sells on reverse.
"""
def __init__(self):
super(gartley_222_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 120) .SetDisplay("Fast EMA", "Fast EMA period", "Indicator")
self._slow_period = self.Param("SlowPeriod", 450) .SetDisplay("Slow EMA", "Slow EMA period", "Indicator")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))) .SetDisplay("Candle Type", "Time frame for candles", "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(gartley_222_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
def OnStarted2(self, time):
super(gartley_222_strategy, self).OnStarted2(time)
fast = ExponentialMovingAverage()
fast.Length = self._fast_period.Value
slow = ExponentialMovingAverage()
slow.Length = self._slow_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast, slow, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def _process_candle(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 <= self._prev_slow and fast_val > slow_val and self.Position <= 0:
self.BuyMarket()
elif self._prev_fast >= self._prev_slow and fast_val < slow_val and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast_val
self._prev_slow = slow_val
def CreateClone(self):
return gartley_222_strategy()