Diese Strategie implementiert das MultiTrend Signal KVN-Konzept. Sie erstellt einen adaptiven Preiskanal mithilfe des Average Directional Index (ADX), um das Rückblickfenster zu bestimmen. Wenn der Preis oberhalb des Kanals schließt, eröffnet die Strategie eine Long-Position. Wenn der Preis unterhalb des Kanals schließt, wird eine Short-Position eröffnet.
Die Kanalbreite wird durch den Parameter K als Prozentsatz der Schwankung zwischen den jüngsten Hochs und Tiefs definiert. KPeriod legt die Basis-Anzahl der Balken für die Berechnungen fest, während der ADX-Wert das tatsächliche Fenster skaliert. KStop multipliziert die durchschnittliche Spanne und wird zu Ausbruchsgeschäften addiert, um den Stop-Abstand zu bestimmen.
Die Strategie ist sowohl für Long- als auch für Short-Handel ausgelegt und verwendet standardmäßig den 4-Stunden-Zeitrahmen. Es werden keine expliziten Stop-Loss- oder Take-Profit-Werte vorgegeben; der Schutz kann über die Plattform aktiviert werden.
Details
Einstiegskriterien:
Long: Der Schlusskurs bricht über das obere adaptive Band.
Short: Der Schlusskurs bricht unter das untere adaptive Band.
Long/Short: Beide Seiten.
Ausstiegskriterien:
Umgekehrtes Signal in der entgegengesetzten Richtung.
Stops: Optional über den Strategie-Schutz.
Standardwerte:
K = 48
KStop = 0.5
KPeriod = 150
AdxPeriod = 14
Kerzentyp = 4-Stunden-Kerzen
Filter:
Kategorie: Trendfolge
Richtung: Beide
Indikatoren: ADX, SMA, Max/Min
Stops: Optional
Komplexität: Moderat
Zeitrahmen: Mittelfristig
Saisonalität: Nein
Neuronale Netze: Nein
Divergenz: Nein
Risikolevel: Moderat
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>
/// Strategy based on the MultiTrend Signal indicator.
/// Builds an adaptive channel using Highest/Lowest and trades breakouts.
/// </summary>
public class ExpMultitrendSignalKvnStrategy : Strategy
{
private readonly StrategyParam<decimal> _k;
private readonly StrategyParam<int> _kPeriod;
private readonly StrategyParam<decimal> _stopLossPct;
private readonly StrategyParam<decimal> _takeProfitPct;
private readonly StrategyParam<DataType> _candleType;
private Highest _maxHigh;
private Lowest _minLow;
private int _trend;
public decimal K
{
get => _k.Value;
set => _k.Value = value;
}
public int KPeriod
{
get => _kPeriod.Value;
set => _kPeriod.Value = value;
}
public decimal StopLossPct
{
get => _stopLossPct.Value;
set => _stopLossPct.Value = value;
}
public decimal TakeProfitPct
{
get => _takeProfitPct.Value;
set => _takeProfitPct.Value = value;
}
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
public ExpMultitrendSignalKvnStrategy()
{
_k = Param(nameof(K), 10m)
.SetDisplay("K", "Percent of swing used for channel width", "Indicator");
_kPeriod = Param(nameof(KPeriod), 20)
.SetDisplay("K Period", "Base period for swing calculation", "Indicator")
.SetGreaterThanZero();
_stopLossPct = Param(nameof(StopLossPct), 2m)
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk");
_takeProfitPct = Param(nameof(TakeProfitPct), 3m)
.SetDisplay("Take Profit %", "Take profit percentage", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for calculation", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_maxHigh = default;
_minLow = default;
_trend = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_maxHigh = new Highest { Length = KPeriod };
_minLow = new Lowest { Length = KPeriod };
Indicators.Add(_maxHigh);
Indicators.Add(_minLow);
var subscription = SubscribeCandles(CandleType);
subscription.Bind(ProcessCandle).Start();
StartProtection(
takeProfit: new Unit(TakeProfitPct, UnitTypes.Percent),
stopLoss: new Unit(StopLossPct, UnitTypes.Percent),
useMarketOrders: true);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var maxResult = _maxHigh.Process(candle);
var minResult = _minLow.Process(candle);
if (!maxResult.IsFormed || !minResult.IsFormed)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var ssMax = maxResult.ToDecimal();
var ssMin = minResult.ToDecimal();
var swing = (ssMax - ssMin) * K / 100m;
var smin = ssMin + swing;
var smax = ssMax - swing;
if (candle.ClosePrice > smax)
{
if (_trend <= 0 && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
_trend = 1;
}
else if (candle.ClosePrice < smin)
{
if (_trend >= 0 && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
_trend = -1;
}
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import Highest, Lowest, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class exp_multitrend_signal_kvn_strategy(Strategy):
def __init__(self):
super(exp_multitrend_signal_kvn_strategy, self).__init__()
self._k = self.Param("K", 10.0) \
.SetDisplay("K", "Percent of swing used for channel width", "Indicator")
self._k_period = self.Param("KPeriod", 20) \
.SetDisplay("K Period", "Base period for swing calculation", "Indicator")
self._stop_loss_pct = self.Param("StopLossPct", 2.0) \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk")
self._take_profit_pct = self.Param("TakeProfitPct", 3.0) \
.SetDisplay("Take Profit %", "Take profit percentage", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles for calculation", "General")
self._max_high = None
self._min_low = None
self._trend = 0
@property
def k(self):
return self._k.Value
@property
def k_period(self):
return self._k_period.Value
@property
def stop_loss_pct(self):
return self._stop_loss_pct.Value
@property
def take_profit_pct(self):
return self._take_profit_pct.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(exp_multitrend_signal_kvn_strategy, self).OnReseted()
self._max_high = None
self._min_low = None
self._trend = 0
def OnStarted2(self, time):
super(exp_multitrend_signal_kvn_strategy, self).OnStarted2(time)
self._max_high = Highest()
self._max_high.Length = self.k_period
self._min_low = Lowest()
self._min_low.Length = self.k_period
self.Indicators.Add(self._max_high)
self.Indicators.Add(self._min_low)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self.process_candle).Start()
self.StartProtection(
takeProfit=Unit(self.take_profit_pct, UnitTypes.Percent),
stopLoss=Unit(self.stop_loss_pct, UnitTypes.Percent),
useMarketOrders=True)
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
cv1 = CandleIndicatorValue(self._max_high, candle)
max_result = self._max_high.Process(cv1)
cv2 = CandleIndicatorValue(self._min_low, candle)
min_result = self._min_low.Process(cv2)
if not max_result.IsFormed or not min_result.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
ss_max = float(max_result)
ss_min = float(min_result)
swing = (ss_max - ss_min) * float(self.k) / 100.0
smin = ss_min + swing
smax = ss_max - swing
close = float(candle.ClosePrice)
if close > smax:
if self._trend <= 0 and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._trend = 1
elif close < smin:
if self._trend >= 0 and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
self._trend = -1
def CreateClone(self):
return exp_multitrend_signal_kvn_strategy()