TTM Squeeze-Strategie
Die TTM Squeeze-Strategie sucht nach Perioden der Preisverdichtung, wenn Bollinger Bands innerhalb von Keltner Channels kontrahieren. Dieser "Squeeze" signalisiert eine potenzielle Volatilitätsexpansion. Während des Squeeze überwacht die Strategie einen linearen Regressions-Momentum-Oszillator und RSI, um die Richtung einzuschätzen. Wenn der Squeeze nachlässt und das Momentum dreht, werden Positionen in Richtung der Bewegung eingegangen.
Die Methode sucht nach explosiven Ausbrüchen aus ruhigen Ranges. Trades werden so gefiltert, dass Long-Setups steigende Momentum-Werte unterhalb von null mit RSI über 30 benötigen, während Short-Setups fallendes Momentum aus positivem Bereich mit RSI unter 70 erfordern. Ein optionaler Take-Profit-Parameter kann Trades bei einem vordefinierten Gewinn automatisch schließen.
Details
- Einstiegskriterien:
- Squeeze aus (Bollinger Bands außerhalb der Keltner Channels).
- Long: Momentum < 0 und steigend, RSI > 30.
- Short: Momentum > 0 und fallend, RSI < 70.
- Long/Short: Beide Seiten.
- Ausstiegskriterien:
- Entgegengesetztes Signal oder Take-Profit, wenn aktiviert.
- Stops: Standardmäßig keine, optionaler Take-Profit.
- Standardwerte:
SqueezeLength= 20RsiLength= 14UseTP= FalseTpPercent= 1.2
- Filter:
- Kategorie: Volatilitäts-Ausbruch
- Richtung: Beide
- Indikatoren: Bollinger Bands, Keltner Channels, RSI, Lineare Regression
- Stops: Optional
- Komplexität: Mittel
- Zeitrahmen: Beliebig
- Saisonalität: Nein
- Neuronale Netze: Nein
- Divergenz: Nein
- Risikolevel: Mittel
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// TTM Squeeze Strategy.
/// Detects volatility squeeze using BB width narrowing, then trades breakouts.
/// Uses RSI for momentum confirmation.
/// Buys when BB width expands from narrow and RSI > 50.
/// Sells when BB width expands from narrow and RSI less than 50.
/// </summary>
public class TtmSqueezeStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _bbLength;
private readonly StrategyParam<int> _rsiLength;
private readonly StrategyParam<int> _cooldownBars;
private BollingerBands _bb;
private RelativeStrengthIndex _rsi;
private ExponentialMovingAverage _ema;
private decimal _prevBbWidth;
private decimal _minBbWidth;
private int _narrowBars;
private int _cooldownRemaining;
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public int BbLength
{
get => _bbLength.Value;
set => _bbLength.Value = value;
}
public int RsiLength
{
get => _rsiLength.Value;
set => _rsiLength.Value = value;
}
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
public TtmSqueezeStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_bbLength = Param(nameof(BbLength), 20)
.SetGreaterThanZero()
.SetDisplay("BB Length", "Bollinger Bands period", "Indicators");
_rsiLength = Param(nameof(RsiLength), 14)
.SetGreaterThanZero()
.SetDisplay("RSI Length", "RSI period", "Indicators");
_cooldownBars = Param(nameof(CooldownBars), 15)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_bb = null;
_rsi = null;
_ema = null;
_prevBbWidth = 0;
_minBbWidth = decimal.MaxValue;
_narrowBars = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_bb = new BollingerBands { Length = BbLength, Width = 2.0m };
_rsi = new RelativeStrengthIndex { Length = RsiLength };
_ema = new ExponentialMovingAverage { Length = BbLength };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(_bb, _rsi, _ema, OnProcess)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _bb);
DrawOwnTrades(area);
}
}
private void OnProcess(ICandleMessage candle, IIndicatorValue bbValue, IIndicatorValue rsiValue, IIndicatorValue emaValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_bb.IsFormed || !_rsi.IsFormed || !_ema.IsFormed)
return;
if (bbValue.IsEmpty || rsiValue.IsEmpty || emaValue.IsEmpty)
return;
var bb = (BollingerBandsValue)bbValue;
if (bb.UpBand is not decimal upper || bb.LowBand is not decimal lower || bb.MovingAverage is not decimal mid)
return;
var rsiVal = rsiValue.ToDecimal();
var emaVal = emaValue.ToDecimal();
// Calculate BB width as percentage
var bbWidth = mid > 0 ? (upper - lower) / mid * 100 : 0;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevBbWidth = bbWidth;
_minBbWidth = Math.Min(_minBbWidth, bbWidth);
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevBbWidth = bbWidth;
_minBbWidth = Math.Min(_minBbWidth, bbWidth);
return;
}
if (_prevBbWidth == 0)
{
_prevBbWidth = bbWidth;
_minBbWidth = bbWidth;
return;
}
// Track narrow BB (squeeze)
if (bbWidth <= _minBbWidth * 1.1m)
{
_narrowBars++;
_minBbWidth = Math.Min(_minBbWidth, bbWidth);
}
else if (bbWidth > _prevBbWidth && _narrowBars >= 3)
{
// BB is expanding after squeeze - breakout
if (rsiVal > 50 && candle.ClosePrice > emaVal && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
_narrowBars = 0;
_minBbWidth = bbWidth;
}
else if (rsiVal < 50 && candle.ClosePrice < emaVal && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
_narrowBars = 0;
_minBbWidth = bbWidth;
}
else
{
_narrowBars = 0;
_minBbWidth = bbWidth;
}
}
else
{
_narrowBars = 0;
_minBbWidth = bbWidth;
}
// Exit long: price falls below lower BB
if (Position > 0 && candle.ClosePrice < lower)
{
SellMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
// Exit short: price rises above upper BB
else if (Position < 0 && candle.ClosePrice > upper)
{
BuyMarket(Math.Abs(Position));
_cooldownRemaining = CooldownBars;
}
_prevBbWidth = bbWidth;
}
}
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.Indicators import BollingerBands, RelativeStrengthIndex, ExponentialMovingAverage, IndicatorHelper
from StockSharp.Algo.Strategies import Strategy
import sys
class ttm_squeeze_strategy(Strategy):
"""TTM Squeeze Strategy."""
def __init__(self):
super(ttm_squeeze_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._bb_length = self.Param("BbLength", 20) \
.SetDisplay("BB Length", "Bollinger Bands period", "Indicators")
self._rsi_length = self.Param("RsiLength", 14) \
.SetDisplay("RSI Length", "RSI period", "Indicators")
self._cooldown_bars = self.Param("CooldownBars", 15) \
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "Risk")
self._bb = None
self._rsi = None
self._ema = None
self._prev_bb_width = 0.0
self._min_bb_width = float(sys.maxsize)
self._narrow_bars = 0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(ttm_squeeze_strategy, self).OnReseted()
self._bb = None
self._rsi = None
self._ema = None
self._prev_bb_width = 0.0
self._min_bb_width = float(sys.maxsize)
self._narrow_bars = 0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(ttm_squeeze_strategy, self).OnStarted2(time)
bb_len = int(self._bb_length.Value)
self._bb = BollingerBands()
self._bb.Length = bb_len
self._bb.Width = 2.0
self._rsi = RelativeStrengthIndex()
self._rsi.Length = int(self._rsi_length.Value)
self._ema = ExponentialMovingAverage()
self._ema.Length = bb_len
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(self._bb, self._rsi, self._ema, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._bb)
self.DrawOwnTrades(area)
def _on_process(self, candle, bb_value, rsi_value, ema_value):
if candle.State != CandleStates.Finished:
return
if not self._bb.IsFormed or not self._rsi.IsFormed or not self._ema.IsFormed:
return
if bb_value.IsEmpty or rsi_value.IsEmpty or ema_value.IsEmpty:
return
if bb_value.UpBand is None or bb_value.LowBand is None or bb_value.MovingAverage is None:
return
upper = float(bb_value.UpBand)
lower = float(bb_value.LowBand)
mid = float(bb_value.MovingAverage)
rsi_val = float(IndicatorHelper.ToDecimal(rsi_value))
ema_val = float(IndicatorHelper.ToDecimal(ema_value))
bb_width = (upper - lower) / mid * 100 if mid > 0 else 0.0
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_bb_width = bb_width
self._min_bb_width = min(self._min_bb_width, bb_width)
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_bb_width = bb_width
self._min_bb_width = min(self._min_bb_width, bb_width)
return
if self._prev_bb_width == 0.0:
self._prev_bb_width = bb_width
self._min_bb_width = bb_width
return
close = float(candle.ClosePrice)
cooldown = int(self._cooldown_bars.Value)
if bb_width <= self._min_bb_width * 1.1:
self._narrow_bars += 1
self._min_bb_width = min(self._min_bb_width, bb_width)
elif bb_width > self._prev_bb_width and self._narrow_bars >= 3:
if rsi_val > 50 and close > ema_val and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
self._narrow_bars = 0
self._min_bb_width = bb_width
elif rsi_val < 50 and close < ema_val and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._narrow_bars = 0
self._min_bb_width = bb_width
else:
self._narrow_bars = 0
self._min_bb_width = bb_width
else:
self._narrow_bars = 0
self._min_bb_width = bb_width
if self.Position > 0 and close < lower:
self.SellMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
elif self.Position < 0 and close > upper:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown_remaining = cooldown
self._prev_bb_width = bb_width
def CreateClone(self):
return ttm_squeeze_strategy()