Esta estrategia implementa el concepto MultiTrend Signal KVN. Construye un canal de precios adaptativo utilizando el Average Directional Index (ADX) para determinar la ventana de retroceso. Cuando el precio cierra por encima del canal, la estrategia abre una posición larga. Cuando el precio cierra por debajo del canal, abre una posición corta.
El ancho del canal está definido por el parámetro K como porcentaje del rango entre máximos y mínimos recientes. KPeriod establece el número base de barras utilizadas para los cálculos, mientras que el valor ADX escala la ventana real. KStop multiplica el rango promedio y se añade a las operaciones de ruptura para determinar la distancia del stop.
La estrategia está diseñada para operar tanto en largo como en corto y utiliza el marco temporal de 4 horas por defecto. No se proporcionan stop loss ni take profit explícitos; la protección puede habilitarse a través de la plataforma.
Detalles
Criterios de entrada:
Largo: El precio de cierre rompe por encima de la banda adaptativa superior.
Corto: El precio de cierre rompe por debajo de la banda adaptativa inferior.
Largo/Corto: Ambos lados.
Criterios de salida:
Señal inversa en la dirección opuesta.
Stops: Opcional mediante la protección de la estrategia.
Valores predeterminados:
K = 48
KStop = 0.5
KPeriod = 150
AdxPeriod = 14
Tipo de vela = velas de 4 horas
Filtros:
Categoría: Seguimiento de tendencia
Dirección: Ambos
Indicadores: ADX, SMA, Max/Min
Stops: Opcional
Complejidad: Moderado
Marco temporal: Medio plazo
Estacionalidad: No
Redes neuronales: No
Divergencia: No
Nivel de riesgo: Moderado
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()