El Harami Alcista es un patrón de dos velas donde un cuerpo pequeño está contenido dentro del rango de la vela bajista anterior. Indica que el impulso vendedor se ha detenido y los compradores pueden volver a entrar.
Las pruebas indican un rendimiento anual promedio de aproximadamente 40%. Funciona mejor en el mercado de criptomonedas.
Esta estrategia entra largo una vez que la segunda vela cierra dentro de la primera, esperando continuación al alza en la siguiente barra.
Un stop porcentual por debajo del patrón proporciona protección, y la operación se cierra si el precio cae de vuelta por debajo del setup.
Detalles
Criterios de entrada: coincidencia de patrón
Largo/Corto: Ambos
Criterios de salida: stop-loss o señal opuesta
Stops: Sí, basado en porcentaje
Valores predeterminados:
CandleType = 15 minutos
StopLossPercent = 2
La estrategia solo compra. El stop se coloca StopLossPercent por debajo del mínimo más bajo del patrón y la posición se cierra cuando una vela cierra por debajo.
Filtros:
Categoría: Patrón
Dirección: Ambos
Indicadores: Candlestick
Stops: Sí
Complejidad: Intermedio
Marco temporal: Intradía
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;
/// <summary>
/// Bullish Harami strategy.
/// While flat it buys after a bearish candle followed by a candle whose smaller body lies within the first candle's range.
/// The stop lies StopLossPercent below the pattern's lowest low, and a close beyond it closes the position.
/// </summary>
public class HaramiBullishStrategy : Strategy
{
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly List<ICandleMessage> _candles = [];
private decimal _stopPrice;
/// <summary>
/// Distance of the stop beyond the pattern, in percent.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public HaramiBullishStrategy()
{
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Distance of the stop beyond the pattern, in percent", "Risk");
_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();
_candles.Clear();
_stopPrice = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_candles.Clear();
_stopPrice = default;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
_candles.Add(candle);
if (_candles.Count > 2)
_candles.RemoveAt(0);
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (Position > 0)
{
if (candle.ClosePrice <= _stopPrice)
SellMarket(Position);
return;
}
if (Position != 0 || _candles.Count < 2)
return;
var c0 = _candles[0];
var c1 = _candles[1];
if (!(c0.ClosePrice < c0.OpenPrice && Math.Abs(c1.ClosePrice - c1.OpenPrice) < c0.OpenPrice - c0.ClosePrice && Math.Min(c1.OpenPrice, c1.ClosePrice) >= c0.LowPrice && Math.Max(c1.OpenPrice, c1.ClosePrice) <= c0.HighPrice))
return;
BuyMarket(Volume);
_stopPrice = Math.Min(c0.LowPrice, c1.LowPrice) * (1 - StopLossPercent / 100m);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math, Decimal
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Strategies import Strategy
class harami_bullish_strategy(Strategy):
"""
Bullish Harami strategy.
While flat it buys after a bearish candle followed by a candle whose smaller body lies within the first candle's range.
The stop lies StopLossPercent below the pattern's lowest low, and a close beyond it closes the position.
"""
def __init__(self):
super(harami_bullish_strategy, self).__init__()
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Distance of the stop beyond the pattern, in percent", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._candles = []
self._stop_price = Decimal(0)
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(harami_bullish_strategy, self).OnReseted()
self._candles = []
self._stop_price = Decimal(0)
def OnStarted2(self, time):
super(harami_bullish_strategy, self).OnStarted2(time)
self._candles = []
self._stop_price = Decimal(0)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
self._candles.append(candle)
if len(self._candles) > 2:
self._candles.pop(0)
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self.Position > 0:
if candle.ClosePrice <= self._stop_price:
self.SellMarket(self.Position)
return
if self.Position != 0 or len(self._candles) < 2:
return
c0, c1 = self._candles
if not (c0.ClosePrice < c0.OpenPrice and Math.Abs(c1.ClosePrice - c1.OpenPrice) < c0.OpenPrice - c0.ClosePrice and Math.Min(c1.OpenPrice, c1.ClosePrice) >= c0.LowPrice and Math.Max(c1.OpenPrice, c1.ClosePrice) <= c0.HighPrice):
return
self.BuyMarket(self.Volume)
self._stop_price = min(c0.LowPrice, c1.LowPrice) * (Decimal(1) - Decimal(self._stop_loss_percent.Value) / Decimal(100))
def CreateClone(self):
return harami_bullish_strategy()