Estrategia de Scalping Inteligente PRO Mejorada v2 para NAS100 y Oro
La estrategia hace scalping de movimientos a corto plazo usando EMA9 y VWAP como guías dinámicas, RSI para el momentum y ATR para la gestión del riesgo. Un filtro de tendencia EMA200 de 15 minutos mantiene las operaciones en la dirección de la tendencia predominante, mientras que un filtro de volumen pico busca velas fuertes. El tamaño de posición se calcula por riesgo y se admiten trailing stops opcionales y períodos de enfriamiento entre operaciones.
Detalles
Criterios de entrada: señal de indicador
Largo/Corto: Ambos
Criterios de salida: stop-loss, take-profit o señal opuesta
Stops: Sí, basados en ATR
Valores predeterminados:
CandleType = 1 minute
RiskPercent = 1%
AtrMultiplierSl = 1
AtrMultiplierTp = 2
CooldownMins = 30
StartHour = 13
EndHour = 20
Filtros:
Categoría: Scalping
Dirección: Ambos
Indicadores: EMA, VWAP, RSI, ATR, EMA200
Stops: Sí
Complejidad: Intermedio
Marco temporal: Intradía
Estacionalidad: No
Redes neuronales: No
Divergencia: No
Nivel de riesgo: Medio
using System;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
public class Nas100AndGoldSmartScalpingProEnhancedV2Strategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public Nas100AndGoldSmartScalpingProEnhancedV2Strategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame());
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fast = new ExponentialMovingAverage { Length = 12 };
var slow = new ExponentialMovingAverage { Length = 34 };
var rsi = new RelativeStrengthIndex { Length = 14 };
var prevF = 0m; var prevS = 0m; var init = false;
var lastSignal = DateTimeOffset.MinValue;
var cooldown = TimeSpan.FromMinutes(120);
var sub = SubscribeCandles(CandleType);
sub.Bind(fast, slow, rsi, (c, f, s, r) =>
{
if (c.State != CandleStates.Finished || !fast.IsFormed || !slow.IsFormed || !rsi.IsFormed) return;
if (!init) { prevF = f; prevS = s; init = true; return; }
if (c.OpenTime - lastSignal >= cooldown)
{
if (prevF <= prevS && f > s && r > 50 && Position <= 0) { BuyMarket(); lastSignal = c.OpenTime; }
else if (prevF >= prevS && f < s && r < 50 && Position > 0) { SellMarket(); lastSignal = c.OpenTime; }
}
prevF = f; prevS = s;
}).Start();
var area = CreateChartArea();
if (area != null) { DrawCandles(area, sub); DrawIndicator(area, fast); DrawIndicator(area, slow); DrawOwnTrades(area); }
}
}
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
from StockSharp.Algo.Indicators import ExponentialMovingAverage, RelativeStrengthIndex
from StockSharp.Algo.Strategies import Strategy
from datatype_extensions import *
from indicator_extensions import *
class nas100_and_gold_smart_scalping_pro_enhanced_v2_strategy(Strategy):
def __init__(self):
super(nas100_and_gold_smart_scalping_pro_enhanced_v2_strategy, self).__init__()
self._candle_type = self.Param("CandleType", tf(5)) \
.SetDisplay("Candle type", "Primary timeframe.", "General")
@property
def CandleType(self):
return self._candle_type.Value
@CandleType.setter
def CandleType(self, value):
self._candle_type.Value = value
def OnReseted(self):
super(nas100_and_gold_smart_scalping_pro_enhanced_v2_strategy, self).OnReseted()
self._prev_f = 0
self._prev_s = 0
self._init = False
self._last_signal = None
self._cooldown = TimeSpan.FromMinutes(120)
def OnStarted2(self, time):
super(nas100_and_gold_smart_scalping_pro_enhanced_v2_strategy, self).OnStarted2(time)
self._prev_f = 0
self._prev_s = 0
self._init = False
self._last_signal = None
self._cooldown = TimeSpan.FromMinutes(120)
fast = ExponentialMovingAverage()
fast.Length = 12
slow = ExponentialMovingAverage()
slow.Length = 34
rsi = RelativeStrengthIndex()
rsi.Length = 14
sub = self.SubscribeCandles(self.CandleType)
sub.Bind(fast, slow, rsi, self.OnProcess).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, sub)
self.DrawIndicator(area, fast)
self.DrawIndicator(area, slow)
self.DrawOwnTrades(area)
def OnProcess(self, candle, f, s, r):
if candle.State != CandleStates.Finished:
return
if not self._init:
self._prev_f = f
self._prev_s = s
self._init = True
return
if self._last_signal is not None and (candle.OpenTime - self._last_signal) < self._cooldown:
pass
else:
if self._prev_f <= self._prev_s and f > s and r > 50 and self.Position <= 0:
self.BuyMarket()
self._last_signal = candle.OpenTime
elif self._prev_f >= self._prev_s and f < s and r < 50 and self.Position > 0:
self.SellMarket()
self._last_signal = candle.OpenTime
self._prev_f = f
self._prev_s = s
def CreateClone(self):
return nas100_and_gold_smart_scalping_pro_enhanced_v2_strategy()