Das Bullish Harami ist ein Zwei-Kerzen-Muster, bei dem ein kleiner Körper innerhalb des Bereichs der vorherigen bärischen Kerze liegt. Es deutet darauf hin, dass der Verkaufsschwung gestoppt hat und Käufer möglicherweise wieder einsteigen.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 40%. Die Strategie funktioniert am besten am Kryptomarkt.
Diese Strategie steigt long ein, sobald die zweite Kerze innerhalb der ersten schließt, und erwartet eine Fortsetzung nach oben auf dem nächsten Balken.
Ein prozentualer Stop unterhalb des Musters bietet Schutz, und der Trade wird beendet, wenn der Preis wieder unter das Setup fällt.
Details
Einstiegskriterien: Mustererkennung
Long/Short: Beide
Ausstiegskriterien: Stop-Loss oder entgegengesetztes Signal
Stops: Ja, prozentbasiert
Standardwerte:
CandleType = 15 Minuten
StopLossPercent = 2
Die Strategie kauft nur. Der Stop liegt StopLossPercent unter dem tiefsten Tief des Musters, und die Position schließt, wenn eine Kerze darunter schließt.
Filter:
Kategorie: Muster
Richtung: Beide
Indikatoren: Candlestick
Stops: Ja
Komplexität: Mittel
Zeitrahmen: Intraday
Saisonalität: Nein
Neuronale Netze: Nein
Divergenz: Nein
Risikolevel: Mittel
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()