Strategie Tweezer Top
Der Tweezer Top spiegelt die Bodenversion, erscheint aber nach einem Aufschwung. Zwei Kerzen teilen nahezu dasselbe Hoch und zeigen, dass Käufer nicht über ein bestimmtes Niveau hinaus drücken konnten.
Tests zeigen eine durchschnittliche jährliche Rendite von etwa 187%. Die Strategie funktioniert am besten am Aktienmarkt.
Die Strategie eröffnet eine Short-Position, sobald die zweite Kerze die Decke bestätigt, und erwartet einen Rückzug, wenn der bullische Schwung ins Stocken gerät.
Ein enger Stop oberhalb der Doppelhochs hält das Risiko in Schach, und der Trade wird beendet, wenn der Preis wieder über diesen Widerstand klettert.
Details
- Einstiegskriterien: Mustererkennung
- Long/Short: Beide
- Ausstiegskriterien: Stop-Loss oder entgegengesetztes Signal
- Stops: Ja, prozentbasiert
- Standardwerte:
CandleType= 15 MinutenStopLoss= 2%
- 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>
/// Tweezer Top strategy.
/// Enters short on Tweezer Top (bullish then bearish with matching highs).
/// Enters long on Tweezer Bottom (bearish then bullish with matching lows).
/// Uses SMA for exit confirmation.
/// Uses cooldown to control trade frequency.
/// </summary>
public class TweezerTopStrategy : Strategy
{
private readonly StrategyParam<decimal> _tolerancePercent;
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private ICandleMessage _prevCandle;
private int _cooldown;
/// <summary>
/// Tolerance for matching highs/lows.
/// </summary>
public decimal TolerancePercent
{
get => _tolerancePercent.Value;
set => _tolerancePercent.Value = value;
}
/// <summary>
/// MA period for exit.
/// </summary>
public int MaLength
{
get => _maLength.Value;
set => _maLength.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Constructor.
/// </summary>
public TweezerTopStrategy()
{
_tolerancePercent = Param(nameof(TolerancePercent), 0.1m)
.SetRange(0.05m, 1m)
.SetDisplay("Tolerance %", "Max diff between highs/lows", "Pattern");
_maLength = Param(nameof(MaLength), 20)
.SetRange(10, 50)
.SetDisplay("MA Length", "Period of SMA for exit", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevCandle = null;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevCandle = null;
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MaLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_prevCandle == null)
{
_prevCandle = candle;
return;
}
if (_cooldown > 0)
{
_cooldown--;
_prevCandle = candle;
return;
}
var highTolerance = _prevCandle.HighPrice * (TolerancePercent / 100m);
var lowTolerance = _prevCandle.LowPrice * (TolerancePercent / 100m);
// Tweezer Top: prev bullish, current bearish, matching highs
var isTweezerTop =
_prevCandle.ClosePrice > _prevCandle.OpenPrice &&
candle.ClosePrice < candle.OpenPrice &&
Math.Abs(_prevCandle.HighPrice - candle.HighPrice) <= highTolerance;
// Tweezer Bottom: prev bearish, current bullish, matching lows
var isTweezerBottom =
_prevCandle.ClosePrice < _prevCandle.OpenPrice &&
candle.ClosePrice > candle.OpenPrice &&
Math.Abs(_prevCandle.LowPrice - candle.LowPrice) <= lowTolerance;
if (Position == 0 && isTweezerTop)
{
SellMarket();
_cooldown = CooldownBars;
}
else if (Position == 0 && isTweezerBottom)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position < 0 && candle.ClosePrice > smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (Position > 0 && candle.ClosePrice < smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
_prevCandle = candle;
}
}
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
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class tweezer_top_strategy(Strategy):
"""
Tweezer Top strategy.
Enters short on Tweezer Top (bullish then bearish with matching highs).
Enters long on Tweezer Bottom (bearish then bullish with matching lows).
Uses SMA for exit confirmation.
"""
def __init__(self):
super(tweezer_top_strategy, self).__init__()
self._tolerance_percent = self.Param("TolerancePercent", 0.1).SetDisplay("Tolerance %", "Max diff between highs/lows", "Pattern")
self._ma_length = self.Param("MaLength", 20).SetDisplay("MA Length", "Period of SMA for exit", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._prev_candle = None
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(tweezer_top_strategy, self).OnReseted()
self._prev_candle = None
self._cooldown = 0
def OnStarted2(self, time):
super(tweezer_top_strategy, self).OnStarted2(time)
self._prev_candle = None
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_val):
if candle.State != CandleStates.Finished:
return
if self._prev_candle is None:
self._prev_candle = candle
return
if self._cooldown > 0:
self._cooldown -= 1
self._prev_candle = candle
return
tol = self._tolerance_percent.Value
high_tolerance = float(self._prev_candle.HighPrice) * (tol / 100.0)
low_tolerance = float(self._prev_candle.LowPrice) * (tol / 100.0)
cd = self._cooldown_bars.Value
sv = float(sma_val)
# Tweezer Top: prev bullish, current bearish, matching highs
is_tweezer_top = (
self._prev_candle.ClosePrice > self._prev_candle.OpenPrice and
candle.ClosePrice < candle.OpenPrice and
abs(float(self._prev_candle.HighPrice) - float(candle.HighPrice)) <= high_tolerance
)
# Tweezer Bottom: prev bearish, current bullish, matching lows
is_tweezer_bottom = (
self._prev_candle.ClosePrice < self._prev_candle.OpenPrice and
candle.ClosePrice > candle.OpenPrice and
abs(float(self._prev_candle.LowPrice) - float(candle.LowPrice)) <= low_tolerance
)
if self.Position == 0 and is_tweezer_top:
self.SellMarket()
self._cooldown = cd
elif self.Position == 0 and is_tweezer_bottom:
self.BuyMarket()
self._cooldown = cd
elif self.Position < 0 and float(candle.ClosePrice) > sv:
self.BuyMarket()
self._cooldown = cd
elif self.Position > 0 and float(candle.ClosePrice) < sv:
self.SellMarket()
self._cooldown = cd
self._prev_candle = candle
def CreateClone(self):
return tweezer_top_strategy()