Estrategia de negociación combinada de múltiples factores

El autor:¿ Qué pasa?, Fecha: 2023-09-12 16:05:10
Las etiquetas:

Esta estrategia combina múltiples indicadores técnicos en un sistema cuantitativo integrado, aprovechando las fortalezas de diferentes factores para mejorar la precisión de las decisiones comerciales.

Estrategia lógica:

  1. Calcular el indicador de reversión 123 para identificar posibles reversiones de 3 días.

  2. Calcula el poder del oso mayor para condiciones de sobreventa.

  3. Ir largo cuando ambos indicadores dan señales de compra, y corto cuando ambos dan señales de venta.

  4. Requerir la verificación de factores reduce las operaciones de señales falsas.

  5. La combinación de diferentes tipos de indicadores mejora la conciencia de la situación.

Ventajas:

  1. La verificación de múltiples factores reduce la probabilidad de malas operaciones.

  2. Mejora el reconocimiento de condiciones de mercado complejas.

  3. La dificultad de optimización da ventaja sobre las estrategias individuales.

Riesgos:

  1. Lleva mucho tiempo optimizar los parámetros para la combinación ideal.

  2. Posibilidad de conflictos de señales entre indicadores.

  3. La estabilidad general es inferior a la de las estrategias de indicadores únicos.

En resumen, esta estrategia tiene como objetivo mejorar la precisión mediante la combinación de múltiples factores, pero requiere ajustar los indicadores para que coincidan adecuadamente para un rendimiento superior constante.


/*backtest
start: 2022-09-05 00:00:00
end: 2023-02-03 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 27/05/2020
// This is combo strategies for get a cumulative signal. 
//
// First strategy
// This System was created from the Book "How I Tripled My Money In The 
// Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
// The strategy buys at market, if close price is higher than the previous close 
// during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. 
// The strategy sells at market, if close price is lower than the previous close price 
// during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
//
// Second strategy
// Developed by Dr Alexander Elder, the Elder-ray indicator measures buying 
// and selling pressure in the market. The Elder-ray is often used as part 
// of the Triple Screen trading system but may also be used on its own.
// Dr Elder uses a 13-day exponential moving average (EMA) to indicate the 
// market consensus of value. Bull Power measures the ability of buyers to 
// drive prices above the consensus of value. Bear Power reflects the ability 
// of sellers to drive prices below the average consensus of value.
// Bull Power is calculated by subtracting the 13-day EMA from the day's High. 
// Bear power subtracts the 13-day EMA from the day's Low.
// You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
//
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
Reversal123(Length, KSmoothing, DLength, Level) =>
    vFast = sma(stoch(close, high, low, Length), KSmoothing) 
    vSlow = sma(vFast, DLength)
    pos = 0.0
    pos := iff(close[2] < close[1] and close > close[1] and vFast < vSlow and vFast > Level, 1,
	         iff(close[2] > close[1] and close < close[1] and vFast > vSlow and vFast < Level, -1, nz(pos[1], 0))) 
	pos

BP(Trigger,Length) =>
    pos = 0
    DayHigh = 0.0
    xPrice = close
    xMA = ema(xPrice,Length)
    DayHigh := iff(dayofmonth != dayofmonth[1], high, max(high, nz(DayHigh[1])))
    nRes = DayHigh - xMA
    pos := iff(nRes > Trigger, 1,
    	     iff(nRes < Trigger, -1, nz(pos[1], 0))) 
    pos

strategy(title="Combo Backtest 123 Reversal & Elder Ray (Bear Power) ", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
LengthBP = input(13, minval=1)
Trigger = input(0)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posBP = BP(Trigger,LengthBP)
pos = iff(posReversal123 == 1 and posBP == 1 , 1,
	   iff(posReversal123 == -1 and posBP == -1, -1, 0)) 
possig = iff(reverse and pos == 1, -1,
          iff(reverse and pos == -1 , 1, pos))	   
if (possig == 1) 
    strategy.entry("Long", strategy.long)
if (possig == -1)
    strategy.entry("Short", strategy.short)	 
if (possig == 0) 
    strategy.close_all()
barcolor(possig == -1 ? #b50404: possig == 1 ? #079605 : #0536b3 )

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