Estrategia PROphet
La estrategia PROphet evalúa los rangos de precios de las últimas tres velas completadas para generar señales durante horas de trading especificadas. Una función personalizada combina los rangos con coeficientes definidos por el usuario. Si la función es positiva, la estrategia abre una posición en la dirección correspondiente.
Las operaciones largas usan los coeficientes X1..X4 y un trailing stop definido por BuyStopPoints. Las operaciones cortas usan los coeficientes Y1..Y4 y SellStopPoints. Los stops siguen el precio cuando este se mueve a favor de la posición en más del spread más el doble de la distancia del stop. Las posiciones se cierran después de las 18:00 o cuando el trailing stop es alcanzado.
Detalles
- Criterios de entrada
- Largo:
Qu(X1,X2,X3,X4) > 0y la hora actual entre las 10 y las 18. - Corto:
Qu(Y1,Y2,Y3,Y4) > 0y la hora actual entre las 10 y las 18.
- Largo:
- Criterios de salida
- Largo: Hora > 18 o el mejor precio de compra cae por debajo del trailing stop.
- Corto: Hora > 18 o el mejor precio de venta sube por encima del trailing stop.
- Parámetros
EnableBuy– permitir abrir posiciones largas.EnableSell– permitir abrir posiciones cortas.X1, X2, X3, X4– coeficientes para la función de señal larga.Y1, Y2, Y3, Y4– coeficientes para la función de señal corta.BuyStopPoints– distancia del trailing stop en puntos para operaciones largas.SellStopPoints– distancia del trailing stop en puntos para operaciones cortas.CandleType– tipo de vela para los cálculos (por defecto 5 minutos).
- Filtros
- Categoría: Intradía
- Dirección: Ambos
- Indicadores: Ninguno
- Stops: Trailing stop
- Complejidad: Moderado
- Marco temporal: Corto plazo
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// PROphet strategy translated from MQL.
/// Uses price ranges of previous candles to generate signals
/// and applies trailing stops.
/// </summary>
public class PROphetStrategy : Strategy
{
private readonly StrategyParam<int> _x1;
private readonly StrategyParam<int> _x2;
private readonly StrategyParam<int> _x3;
private readonly StrategyParam<int> _x4;
private readonly StrategyParam<int> _y1;
private readonly StrategyParam<int> _y2;
private readonly StrategyParam<int> _y3;
private readonly StrategyParam<int> _y4;
private readonly StrategyParam<decimal> _stopMultiplier;
private readonly StrategyParam<DataType> _candleType;
private decimal _stopPrice;
private decimal _prevHigh1;
private decimal _prevLow1;
private decimal _prevHigh2;
private decimal _prevLow2;
private decimal _prevHigh3;
private decimal _prevLow3;
private int _historyCount;
/// <summary>First coefficient for the buy signal.</summary>
public int X1 { get => _x1.Value; set => _x1.Value = value; }
/// <summary>Second coefficient for the buy signal.</summary>
public int X2 { get => _x2.Value; set => _x2.Value = value; }
/// <summary>Third coefficient for the buy signal.</summary>
public int X3 { get => _x3.Value; set => _x3.Value = value; }
/// <summary>Fourth coefficient for the buy signal.</summary>
public int X4 { get => _x4.Value; set => _x4.Value = value; }
/// <summary>First coefficient for the sell signal.</summary>
public int Y1 { get => _y1.Value; set => _y1.Value = value; }
/// <summary>Second coefficient for the sell signal.</summary>
public int Y2 { get => _y2.Value; set => _y2.Value = value; }
/// <summary>Third coefficient for the sell signal.</summary>
public int Y3 { get => _y3.Value; set => _y3.Value = value; }
/// <summary>Fourth coefficient for the sell signal.</summary>
public int Y4 { get => _y4.Value; set => _y4.Value = value; }
/// <summary>Stop loss multiplier.</summary>
public decimal StopMultiplier { get => _stopMultiplier.Value; set => _stopMultiplier.Value = value; }
/// <summary>The candle type.</summary>
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
/// <summary>
/// Constructor.
/// </summary>
public PROphetStrategy()
{
_x1 = Param(nameof(X1), 9).SetDisplay("X1", "First coefficient for buy", "Buy");
_x2 = Param(nameof(X2), 29).SetDisplay("X2", "Second coefficient for buy", "Buy");
_x3 = Param(nameof(X3), 94).SetDisplay("X3", "Third coefficient for buy", "Buy");
_x4 = Param(nameof(X4), 125).SetDisplay("X4", "Fourth coefficient for buy", "Buy");
_y1 = Param(nameof(Y1), 61).SetDisplay("Y1", "First coefficient for sell", "Sell");
_y2 = Param(nameof(Y2), 100).SetDisplay("Y2", "Second coefficient for sell", "Sell");
_y3 = Param(nameof(Y3), 117).SetDisplay("Y3", "Third coefficient for sell", "Sell");
_y4 = Param(nameof(Y4), 31).SetDisplay("Y4", "Fourth coefficient for sell", "Sell");
_stopMultiplier = Param(nameof(StopMultiplier), 0.005m)
.SetDisplay("Stop Multiplier", "Stop loss as fraction of price", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for calculations", "General");
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_stopPrice = 0m;
_prevHigh1 = 0m;
_prevLow1 = 0m;
_prevHigh2 = 0m;
_prevLow2 = 0m;
_prevHigh3 = 0m;
_prevLow3 = 0m;
_historyCount = 0;
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_historyCount = 0;
_stopPrice = 0;
var atr = new AverageTrueRange { Length = 14 };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, atr);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var close = candle.ClosePrice;
if (_historyCount >= 3)
{
if (Position > 0)
{
// Trailing stop for long
var newStop = close - atrValue * 2;
if (newStop > _stopPrice)
_stopPrice = newStop;
if (close <= _stopPrice)
SellMarket(Math.Abs(Position));
}
else if (Position < 0)
{
// Trailing stop for short
var newStop = close + atrValue * 2;
if (newStop < _stopPrice || _stopPrice == 0)
_stopPrice = newStop;
if (close >= _stopPrice)
BuyMarket(Math.Abs(Position));
}
else
{
var buySignal = Qu(X1, X2, X3, X4);
var sellSignal = Qu(Y1, Y2, Y3, Y4);
if (buySignal > 0 && sellSignal <= 0)
{
_stopPrice = close - atrValue * 2;
BuyMarket();
}
else if (sellSignal > 0 && buySignal <= 0)
{
_stopPrice = close + atrValue * 2;
SellMarket();
}
}
}
UpdateHistory(candle);
}
private void UpdateHistory(ICandleMessage candle)
{
_prevHigh3 = _prevHigh2;
_prevLow3 = _prevLow2;
_prevHigh2 = _prevHigh1;
_prevLow2 = _prevLow1;
_prevHigh1 = candle.HighPrice;
_prevLow1 = candle.LowPrice;
if (_historyCount < 3)
_historyCount++;
}
private decimal Qu(int q1, int q2, int q3, int q4)
{
return (q1 - 100) * Math.Abs(_prevHigh1 - _prevLow2)
+ (q2 - 100) * Math.Abs(_prevHigh3 - _prevLow2)
+ (q3 - 100) * Math.Abs(_prevHigh2 - _prevLow1)
+ (q4 - 100) * Math.Abs(_prevHigh2 - _prevLow3);
}
}
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 AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class pr_ophet_strategy(Strategy):
def __init__(self):
super(pr_ophet_strategy, self).__init__()
self._x1 = self.Param("X1", 9)
self._x2 = self.Param("X2", 29)
self._x3 = self.Param("X3", 94)
self._x4 = self.Param("X4", 125)
self._y1 = self.Param("Y1", 61)
self._y2 = self.Param("Y2", 100)
self._y3 = self.Param("Y3", 117)
self._y4 = self.Param("Y4", 31)
self._stop_multiplier = self.Param("StopMultiplier", 0.005)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(1)))
self._stop_price = 0.0
self._prev_high1 = 0.0
self._prev_low1 = 0.0
self._prev_high2 = 0.0
self._prev_low2 = 0.0
self._prev_high3 = 0.0
self._prev_low3 = 0.0
self._history_count = 0
@property
def X1(self):
return self._x1.Value
@X1.setter
def X1(self, value):
self._x1.Value = value
@property
def X2(self):
return self._x2.Value
@X2.setter
def X2(self, value):
self._x2.Value = value
@property
def X3(self):
return self._x3.Value
@X3.setter
def X3(self, value):
self._x3.Value = value
@property
def X4(self):
return self._x4.Value
@X4.setter
def X4(self, value):
self._x4.Value = value
@property
def Y1(self):
return self._y1.Value
@Y1.setter
def Y1(self, value):
self._y1.Value = value
@property
def Y2(self):
return self._y2.Value
@Y2.setter
def Y2(self, value):
self._y2.Value = value
@property
def Y3(self):
return self._y3.Value
@Y3.setter
def Y3(self, value):
self._y3.Value = value
@property
def Y4(self):
return self._y4.Value
@Y4.setter
def Y4(self, value):
self._y4.Value = value
@property
def StopMultiplier(self):
return self._stop_multiplier.Value
@StopMultiplier.setter
def StopMultiplier(self, value):
self._stop_multiplier.Value = value
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnStarted2(self, time):
super(pr_ophet_strategy, self).OnStarted2(time)
self._history_count = 0
self._stop_price = 0.0
self._prev_high1 = 0.0
self._prev_low1 = 0.0
self._prev_high2 = 0.0
self._prev_low2 = 0.0
self._prev_high3 = 0.0
self._prev_low3 = 0.0
atr = AverageTrueRange()
atr.Length = 14
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(atr, self.ProcessCandle).Start()
self.StartProtection(
Unit(2000.0, UnitTypes.Absolute),
Unit(1000.0, UnitTypes.Absolute))
def _qu(self, q1, q2, q3, q4):
return ((q1 - 100) * abs(self._prev_high1 - self._prev_low2)
+ (q2 - 100) * abs(self._prev_high3 - self._prev_low2)
+ (q3 - 100) * abs(self._prev_high2 - self._prev_low1)
+ (q4 - 100) * abs(self._prev_high2 - self._prev_low3))
def ProcessCandle(self, candle, atr_value):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
atr_val = float(atr_value)
if self._history_count >= 3:
if self.Position > 0:
new_stop = close - atr_val * 2.0
if new_stop > self._stop_price:
self._stop_price = new_stop
if close <= self._stop_price:
self.SellMarket()
elif self.Position < 0:
new_stop = close + atr_val * 2.0
if new_stop < self._stop_price or self._stop_price == 0.0:
self._stop_price = new_stop
if close >= self._stop_price:
self.BuyMarket()
else:
buy_signal = self._qu(int(self.X1), int(self.X2), int(self.X3), int(self.X4))
sell_signal = self._qu(int(self.Y1), int(self.Y2), int(self.Y3), int(self.Y4))
if buy_signal > 0.0 and sell_signal <= 0.0:
self._stop_price = close - atr_val * 2.0
self.BuyMarket()
elif sell_signal > 0.0 and buy_signal <= 0.0:
self._stop_price = close + atr_val * 2.0
self.SellMarket()
self._update_history(candle)
def _update_history(self, candle):
self._prev_high3 = self._prev_high2
self._prev_low3 = self._prev_low2
self._prev_high2 = self._prev_high1
self._prev_low2 = self._prev_low1
self._prev_high1 = float(candle.HighPrice)
self._prev_low1 = float(candle.LowPrice)
if self._history_count < 3:
self._history_count += 1
def OnReseted(self):
super(pr_ophet_strategy, self).OnReseted()
self._stop_price = 0.0
self._prev_high1 = 0.0
self._prev_low1 = 0.0
self._prev_high2 = 0.0
self._prev_low2 = 0.0
self._prev_high3 = 0.0
self._prev_low3 = 0.0
self._history_count = 0
def CreateClone(self):
return pr_ophet_strategy()