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Estrategia de negociación de retroceso de Fibonacci adaptativa con varios plazos

El autor:¿ Qué pasa?, Fecha: 2023-12-25 13:54:39
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Resumen general

La Estrategia Adaptativa de Retracement Fibonacci Multi Timeframe es una estrategia de seguimiento de tendencias que incorpora promedios móviles adaptativos, RSI estocástico y zonas de retracement de Fibonacci. Analiza el movimiento del mercado a través de diferentes marcos de tiempo con varios indicadores para ajustar dinámicamente el tamaño de la posición. La estrategia puede localizar con precisión las zonas de retroceso potenciales para establecer posiciones cuando se está formando una tendencia.

Estrategia lógica

La estrategia de negociación de retroceso de Fibonacci adaptativa de múltiples plazos utiliza las siguientes herramientas y mecanismos técnicos:

Promedio móvil adaptativo (SMA y WMA): Calcula promedios móviles adaptativos de los precios durante diferentes períodos (minuto, hora, día, etc.). Determina la dirección de la tendencia basada en la pendiente de los promedios móviles adaptativos.
RSI estocástico: Calcula el valor estocástico del RSI para determinar si el RSI está sobrecomprado o sobrevendido. Analiza el impulso y la tendencia utilizando la forma de la curva del RSI.
Zonas de retroceso de Fibonacci: Trace las zonas de retroceso de Fibonacci utilizando el Swing High y el Swing Low recientes. Establezca puntos de entrada y salida dentro de estas zonas, que tienden a marcar posibles inversiones de tendencia o retrocesos.
Tamaño de la posición: ajustar dinámicamente el tamaño de la posición en función de la fuerza de las señales del RSI de Stoch y las medias móviles adaptativas.

La estrategia primero determina la dirección de tendencia. Cuando el precio entra en una zona de Fibonacci, los puntos de entrada potenciales se marcan cerca de la zona. Las operaciones se ejecutan cuando el promedio móvil adaptativo y el Stoch RSI emiten señales de entrada alrededor de los puntos potenciales.

Análisis de ventajas

La estrategia de negociación de retroceso de Fibonacci adaptativa de múltiples plazos tiene las siguientes fortalezas:

Análisis de marcos de tiempo múltiples: evalúa simultáneamente múltiples niveles de marcos de tiempo (minutos, horas, días, etc.) para un juicio de tendencia más completo.
Tamaño dinámico de la posición: ajusta el tamaño de la posición dinámicamente de acuerdo con las condiciones del mercado para controlar mejor los riesgos.
Objetivo de retroceso preciso: las zonas de Fibonacci se pueden usar para detectar reversiones a corto plazo durante las tendencias.
Stop Loss estricto: el stop loss basado en las zonas de retroceso evita efectivamente pérdidas enormes.
Filtración de señales: solo entra en operaciones alrededor de los puntos de entrada marcados, evitando falsos breakouts.
Alta optimización: múltiples parámetros de entrada ajustables que se pueden ajustar para optimizar el rendimiento de la estrategia por mercado.

Análisis de riesgos

Los principales riesgos asociados a esta estrategia son:

Riesgo de zona inválida: el no llegar a zonas o zonas inválidas resulta en entradas perdidas.
El riesgo de seguimiento de pérdidas de parada estática puede ser alcanzado prematuramente.
Riesgo de señal falsa: el promedio móvil adaptativo y el RSI de Stoch pueden dar ocasionalmente señales falsas, causando operaciones innecesarias. Las señales pueden filtrarse para reducir la tasa de señal falsa.
Riesgos de alta complejidad: la combinación de múltiples parámetros e indicadores aumenta la complejidad de la estrategia, lo que dificulta la optimización y las pruebas.

Oportunidades de mejora

Esta estrategia puede optimizarse aún más de las siguientes maneras:

Prueba en más acciones y productos de divisas para evaluar la robustez.
Añadir mecanismos de filtración de señales para reducir la tasa de señales falsas y aumentar la relación señal-ruido.
Prueba y comparación de parámetros de diferentes tipos de medias móviles.
Evaluar las mejoras derivadas de la sustitución de la pérdida de parada fija por pérdida de parada posterior o pérdida de parada de zona.
Experimentar con señales de ruptura o mecanismos de seguimiento de tendencias para diseñar enfoques de obtención de beneficios a largo plazo.

Conclusión

La Estrategia de Negociación de Retracementos de Fibonacci Adaptive Multi Timeframe utiliza varias herramientas analíticas para identificar las condiciones de la tendencia y desplegar posiciones durante los retracements. Mecanismos estrictos de control de riesgos y stop loss ayudan a optimizar las ganancias dentro de las tendencias principales.

/*backtest
start: 2023-12-17 00:00:00
end: 2023-12-24 00:00:00
period: 1m
basePeriod: 1m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © imal_max

//@version=5
strategy(title="Auto Fib Golden Pocket Band - Autofib Moving Average", shorttitle="Auto Fib Golden Pocket Band", overlay=true, pyramiding=15, process_orders_on_close=true, calc_on_every_tick=true, initial_capital=10000, currency = currency.USD, default_qty_value=100, default_qty_type=strategy.percent_of_equity, commission_type=strategy.commission.percent, commission_value=0.05, slippage=2)

//indicator("Auto Fib Golden Pocket Band - Autofib Moving Average", overlay=true, shorttitle="Auto Fib Golden Pocket Band", timeframe""")


// Fibs


// auto fib ranges

// fib band Strong Trend                                                                                                                                           
enable_StrongBand_Bull = input.bool(title='enable Upper Bullish Band . . . Fib Level', defval=true, group='══════ Strong Trend Levels ══════', inline="0")
select_StrongBand_Fib_Bull = input.float(0.236, title="     ", options=[-0.272, 0, 0.236, 0.382, 0.5, 0.618, 0.702, 0.71, 0.786, 0.83, 0.886, 1, 1.272], group='══════ Strong Trend Levels ══════', inline="0")


enable_StrongBand_Bear = input.bool(title='enable Lower Bearish Band . . . Fib Level', defval=false, group='══════ Strong Trend Levels ══════', inline="1")
select_StrongBand_Fib_Bear = input.float(0.382, '', options=[-0.272, 0, 0.236, 0.382, 0.5, 0.618, 0.702, 0.71, 0.786, 0.83, 0.886, 1, 1.272], group='══════ Strong Trend Levels ══════', inline="1")

StrongBand_Lookback = input.int(title='Pivot Look Back', minval=1, defval=400, group='══════ Strong Trend Levels ══════', inline="2")
StrongBand_EmaLen = input.int(title='Fib EMA Length', minval=1, defval=120, group='══════ Strong Trend Levels ══════', inline="2")


// fib middle Band regular Trend
enable_MiddleBand_Bull = input.bool(title='enable Middle Bullish Band . . . Fib Level', defval=true, group='══════ Regular Trend Levels ══════', inline="0")
select_MiddleBand_Fib_Bull = input.float(0.618, '', options=[-0.272, 0, 0.236, 0.382, 0.5, 0.6, 0.618, 0.702, 0.71, 0.786, 0.83, 0.886, 1, 1.272], group='══════ Regular Trend Levels ══════', inline="0")


enable_MiddleBand_Bear = input.bool(title='enable Middle Bearish Band . . . Fib Level', defval=true, group='══════ Regular Trend Levels ══════', inline="1")
select_MiddleBand_Fib_Bear = input.float(0.382, '', options=[-0.272, 0, 0.236, 0.382, 0.5, 0.618, 0.702, 0.71, 0.786, 0.83, 0.886, 1, 1.272], group='══════ Regular Trend Levels ══════', inline="1")

MiddleBand_Lookback = input.int(title='Pivot Look Back', minval=1, defval=900, group='══════ Regular Trend Levels ══════', inline="2")
MiddleBand_EmaLen = input.int(title='Fib EMA Length', minval=1, defval=400, group='══════ Regular Trend Levels ══════', inline="2")


// fib Sideways Band
enable_SidewaysBand_Bull = input.bool(title='enable Lower Bullish Band . . . Fib Level', defval=true, group='══════ Sideways Trend Levels ══════', inline="0")
select_SidewaysBand_Fib_Bull = input.float(0.6, '', options=[-0.272, 0, 0.236, 0.382, 0.5, 0.6, 0.618, 0.702, 0.71, 0.786, 0.83, 0.886, 1, 1.272], group='══════ Sideways Trend Levels ══════', inline="0")


enable_SidewaysBand_Bear = input.bool(title='enable Upper Bearish Band . . . Fib Level', defval=true, group='══════ Sideways Trend Levels ══════', inline="1")
select_SidewaysBand_Fib_Bear = input.float(0.5, '', options=[-0.272, 0, 0.236, 0.382, 0.5, 0.618, 0.702, 0.71, 0.786, 0.83, 0.886, 1, 1.272], group='══════ Sideways Trend Levels ══════', inline="1")

SidewaysBand_Lookback = input.int(title='Pivot Look Back', minval=1, defval=4000, group='══════ Sideways Trend Levels ══════', inline="2")
SidewaysBand_EmaLen = input.int(title='Fib EMA Length', minval=1, defval=150, group='══════ Sideways Trend Levels ══════', inline="2")




// Strong Band
isBelow_StrongBand_Bull = true
isBelow_StrongBand_Bear = true
StrongBand_Price_of_Low = float(na)
StrongBand_Price_of_High = float(na)

StrongBand_Bear_Fib_Price = float(na)
StrongBand_Bull_Fib_Price = float(na)

/// Middle Band
isBelow_MiddleBand_Bull = true
isBelow_MiddleBand_Bear = true
MiddleBand_Price_of_Low = float(na)
MiddleBand_Price_of_High = float(na)

MiddleBand_Bear_Fib_Price = float(na)
MiddleBand_Bull_Fib_Price = float(na)


// Sideways Band
isBelow_SidewaysBand_Bull = true
isBelow_SidewaysBand_Bear = true
SidewaysBand_Price_of_Low = float(na)
SidewaysBand_Price_of_High = float(na)

SidewaysBand_Bear_Fib_Price = float(na)
SidewaysBand_Bull_Fib_Price = float(na)


// get Fib Levels
if enable_StrongBand_Bull
    StrongBand_Price_of_High := ta.highest(high, StrongBand_Lookback)
    StrongBand_Price_of_Low := ta.lowest(low, StrongBand_Lookback)
    StrongBand_Bull_Fib_Price := (StrongBand_Price_of_High - StrongBand_Price_of_Low) * (1 - select_StrongBand_Fib_Bull) + StrongBand_Price_of_Low //+ fibbullHighDivi
    isBelow_StrongBand_Bull := StrongBand_Bull_Fib_Price > ta.lowest(low, 2) or not enable_StrongBand_Bull

if enable_StrongBand_Bear
    StrongBand_Price_of_High := ta.highest(high, StrongBand_Lookback)
    StrongBand_Price_of_Low := ta.lowest(low, StrongBand_Lookback)
    StrongBand_Bear_Fib_Price := (StrongBand_Price_of_High - StrongBand_Price_of_Low) * (1 - select_StrongBand_Fib_Bear) + StrongBand_Price_of_Low// + fibbullLowhDivi
    isBelow_StrongBand_Bear := StrongBand_Bear_Fib_Price < ta.highest(low, 2) or not enable_StrongBand_Bear

if enable_MiddleBand_Bull
    MiddleBand_Price_of_High := ta.highest(high, MiddleBand_Lookback)
    MiddleBand_Price_of_Low := ta.lowest(low, MiddleBand_Lookback)
    MiddleBand_Bull_Fib_Price := (MiddleBand_Price_of_High - MiddleBand_Price_of_Low) * (1 - select_MiddleBand_Fib_Bull) + MiddleBand_Price_of_Low //+ fibbullHighDivi
    isBelow_MiddleBand_Bull := MiddleBand_Bull_Fib_Price > ta.lowest(low, 2) or not enable_MiddleBand_Bull

if enable_MiddleBand_Bear
    MiddleBand_Price_of_High := ta.highest(high, MiddleBand_Lookback)
    MiddleBand_Price_of_Low := ta.lowest(low, MiddleBand_Lookback)
    MiddleBand_Bear_Fib_Price := (MiddleBand_Price_of_High - MiddleBand_Price_of_Low) * (1 - select_MiddleBand_Fib_Bear) + MiddleBand_Price_of_Low// + fibbullLowhDivi
    isBelow_MiddleBand_Bear := MiddleBand_Bear_Fib_Price < ta.highest(low, 2) or not enable_MiddleBand_Bear

if enable_SidewaysBand_Bull
    SidewaysBand_Price_of_High := ta.highest(high, SidewaysBand_Lookback)
    SidewaysBand_Price_of_Low := ta.lowest(low, SidewaysBand_Lookback)
    SidewaysBand_Bull_Fib_Price := (SidewaysBand_Price_of_High - SidewaysBand_Price_of_Low) * (1 - select_SidewaysBand_Fib_Bull) + SidewaysBand_Price_of_Low //+ fibbullHighDivi
    isBelow_SidewaysBand_Bull := SidewaysBand_Bull_Fib_Price > ta.lowest(low, 2) or not enable_SidewaysBand_Bull

if enable_SidewaysBand_Bear
    SidewaysBand_Price_of_High := ta.highest(high, SidewaysBand_Lookback)
    SidewaysBand_Price_of_Low := ta.lowest(low, SidewaysBand_Lookback)
    SidewaysBand_Bear_Fib_Price := (SidewaysBand_Price_of_High - SidewaysBand_Price_of_Low) * (1 - select_SidewaysBand_Fib_Bear) + SidewaysBand_Price_of_Low// + fibbullLowhDivi
    isBelow_SidewaysBand_Bear := SidewaysBand_Bear_Fib_Price < ta.highest(low, 2) or not enable_SidewaysBand_Bear



// Fib EMAs


// fib ema Strong Trend
StrongBand_current_Trend_EMA = float(na)

StrongBand_Bull_EMA = ta.ema(StrongBand_Bull_Fib_Price, StrongBand_EmaLen)
StrongBand_Bear_EMA = ta.ema(StrongBand_Bear_Fib_Price, StrongBand_EmaLen)


StrongBand_Ema_in_Uptrend = ta.change(StrongBand_Bull_EMA) > 0 or ta.change(StrongBand_Bear_EMA) > 0
StrongBand_Ema_Sideways = ta.change(StrongBand_Bull_EMA) == 0 or ta.change(StrongBand_Bear_EMA) == 0
StrongBand_Ema_in_Downtrend = ta.change(StrongBand_Bull_EMA) < 0 or ta.change(StrongBand_Bear_EMA) < 0


if StrongBand_Ema_in_Uptrend or StrongBand_Ema_Sideways
    StrongBand_current_Trend_EMA := StrongBand_Bull_EMA
if StrongBand_Ema_in_Downtrend 
    StrongBand_current_Trend_EMA := StrongBand_Bear_EMA



// fib ema Normal Trend
MiddleBand_current_Trend_EMA = float(na)

MiddleBand_Bull_EMA = ta.ema(MiddleBand_Bull_Fib_Price, MiddleBand_EmaLen)
MiddleBand_Bear_EMA = ta.ema(MiddleBand_Bear_Fib_Price, MiddleBand_EmaLen)


MiddleBand_Ema_in_Uptrend = ta.change(MiddleBand_Bull_EMA) > 0 or ta.change(MiddleBand_Bear_EMA) > 0
MiddleBand_Ema_Sideways = ta.change(MiddleBand_Bull_EMA) == 0 or ta.change(MiddleBand_Bear_EMA) == 0
MiddleBand_Ema_in_Downtrend = ta.change(MiddleBand_Bull_EMA) < 0 or ta.change(MiddleBand_Bear_EMA) < 0


if MiddleBand_Ema_in_Uptrend or MiddleBand_Ema_Sideways
    MiddleBand_current_Trend_EMA := MiddleBand_Bull_EMA
if MiddleBand_Ema_in_Downtrend 
    MiddleBand_current_Trend_EMA := MiddleBand_Bear_EMA


// fib ema Sideways Trend
SidewaysBand_current_Trend_EMA = float(na)

SidewaysBand_Bull_EMA = ta.ema(SidewaysBand_Bull_Fib_Price, SidewaysBand_EmaLen)
SidewaysBand_Bear_EMA = ta.ema(SidewaysBand_Bear_Fib_Price, SidewaysBand_EmaLen)


SidewaysBand_Ema_in_Uptrend = ta.change(SidewaysBand_Bull_EMA) > 0 or ta.change(SidewaysBand_Bear_EMA) > 0
SidewaysBand_Ema_Sideways = ta.change(SidewaysBand_Bull_EMA) == 0 or ta.change(SidewaysBand_Bear_EMA) == 0
SidewaysBand_Ema_in_Downtrend = ta.change(SidewaysBand_Bull_EMA) < 0 or ta.change(SidewaysBand_Bear_EMA) < 0


if SidewaysBand_Ema_in_Uptrend or SidewaysBand_Ema_Sideways
    SidewaysBand_current_Trend_EMA := SidewaysBand_Bull_EMA
if SidewaysBand_Ema_in_Downtrend 
    SidewaysBand_current_Trend_EMA := SidewaysBand_Bear_EMA




// trend states and colors

all_Fib_Emas_Trending = StrongBand_Ema_in_Uptrend and MiddleBand_Ema_in_Uptrend and SidewaysBand_Ema_in_Uptrend
all_Fib_Emas_Downtrend = MiddleBand_Ema_in_Downtrend and StrongBand_Ema_in_Downtrend and SidewaysBand_Ema_in_Downtrend
all_Fib_Emas_Sideways = MiddleBand_Ema_Sideways and StrongBand_Ema_Sideways and SidewaysBand_Ema_Sideways
all_Fib_Emas_Trend_or_Sideways = (MiddleBand_Ema_Sideways or StrongBand_Ema_Sideways or SidewaysBand_Ema_Sideways) or (StrongBand_Ema_in_Uptrend or MiddleBand_Ema_in_Uptrend or SidewaysBand_Ema_in_Uptrend) and not (MiddleBand_Ema_in_Downtrend or StrongBand_Ema_in_Downtrend or SidewaysBand_Ema_in_Downtrend)
allFibsUpAndDownTrend = (MiddleBand_Ema_in_Downtrend or StrongBand_Ema_in_Downtrend or SidewaysBand_Ema_in_Downtrend) and (MiddleBand_Ema_Sideways or SidewaysBand_Ema_Sideways or StrongBand_Ema_Sideways or StrongBand_Ema_in_Uptrend or MiddleBand_Ema_in_Uptrend or SidewaysBand_Ema_in_Uptrend)

Middle_and_Sideways_Emas_Trending = MiddleBand_Ema_in_Uptrend and SidewaysBand_Ema_in_Uptrend
Middle_and_Sideways_Fib_Emas_Downtrend = MiddleBand_Ema_in_Downtrend and SidewaysBand_Ema_in_Downtrend
Middle_and_Sideways_Fib_Emas_Sideways = MiddleBand_Ema_Sideways and SidewaysBand_Ema_Sideways
Middle_and_Sideways_Fib_Emas_Trend_or_Sideways = (MiddleBand_Ema_Sideways or SidewaysBand_Ema_Sideways) or (MiddleBand_Ema_in_Uptrend or SidewaysBand_Ema_in_Uptrend) and not (MiddleBand_Ema_in_Downtrend or SidewaysBand_Ema_in_Downtrend)
Middle_and_Sideways_UpAndDownTrend = (MiddleBand_Ema_in_Downtrend or SidewaysBand_Ema_in_Downtrend) and (MiddleBand_Ema_Sideways or SidewaysBand_Ema_Sideways or MiddleBand_Ema_in_Uptrend or SidewaysBand_Ema_in_Uptrend)




UpperBand_Ema_Color = all_Fib_Emas_Trend_or_Sideways ? color.lime : all_Fib_Emas_Downtrend ? color.red : allFibsUpAndDownTrend ? color.white : na
MiddleBand_Ema_Color = Middle_and_Sideways_Fib_Emas_Trend_or_Sideways ? color.lime : Middle_and_Sideways_Fib_Emas_Downtrend ? color.red : Middle_and_Sideways_UpAndDownTrend ? color.white : na
SidewaysBand_Ema_Color = SidewaysBand_Ema_in_Uptrend ? color.lime : SidewaysBand_Ema_in_Downtrend ? color.red : (SidewaysBand_Ema_in_Downtrend and (SidewaysBand_Ema_Sideways or SidewaysBand_Ema_in_Uptrend)) ? color.white : na


plotStrong_Ema = plot(StrongBand_current_Trend_EMA, color=UpperBand_Ema_Color, title="Strong Trend")
plotMiddle_Ema = plot(MiddleBand_current_Trend_EMA, color=MiddleBand_Ema_Color, title="Normal Trend")
plotSideways_Ema = plot(SidewaysBand_current_Trend_EMA, color=SidewaysBand_Ema_Color, title="Sidewaysd")



Strong_Middle_fillcolor = color.new(color.green, 90)

if all_Fib_Emas_Trend_or_Sideways
    Strong_Middle_fillcolor := color.new(color.green, 90)
if all_Fib_Emas_Downtrend
    Strong_Middle_fillcolor := color.new(color.red, 90)
    
if allFibsUpAndDownTrend
    Strong_Middle_fillcolor := color.new(color.white, 90)


Middle_Sideways_fillcolor = color.new(color.green, 90)

if Middle_and_Sideways_Fib_Emas_Trend_or_Sideways
    Middle_Sideways_fillcolor := color.new(color.green, 90)
if Middle_and_Sideways_Fib_Emas_Downtrend
    Middle_Sideways_fillcolor := color.new(color.red, 90)
    
if Middle_and_Sideways_UpAndDownTrend
    Middle_Sideways_fillcolor := color.new(color.white, 90)


fill(plotStrong_Ema, plotMiddle_Ema, color=Strong_Middle_fillcolor, title="fib band background")
fill(plotMiddle_Ema, plotSideways_Ema, color=Middle_Sideways_fillcolor, title="fib band background")


// buy condition
StrongBand_Price_was_below_Bull_level = ta.lowest(low, 1) < StrongBand_current_Trend_EMA
StrongBand_Price_is_above_Bull_level =  close > StrongBand_current_Trend_EMA
StronBand_Price_Average_above_Bull_Level = ta.ema(low, 10) > StrongBand_current_Trend_EMA
StrongBand_Low_isnt_toLow = (ta.lowest(StrongBand_current_Trend_EMA, 15) - ta.lowest(low, 15)) < close * 0.005
StronBand_Trend_isnt_fresh = ta.barssince(StrongBand_Ema_in_Downtrend) > 50 or na(ta.barssince(StrongBand_Ema_in_Downtrend))

MiddleBand_Price_was_below_Bull_level = ta.lowest(low, 1) < MiddleBand_current_Trend_EMA
MiddleBand_Price_is_above_Bull_level = close > MiddleBand_current_Trend_EMA
MiddleBand_Price_Average_above_Bull_Level = ta.ema(close, 20) > MiddleBand_current_Trend_EMA
MiddleBand_Low_isnt_toLow = (ta.lowest(MiddleBand_current_Trend_EMA, 10) - ta.lowest(low, 10)) < close * 0.0065
MiddleBand_Trend_isnt_fresh = ta.barssince(MiddleBand_Ema_in_Downtrend) > 50 or na(ta.barssince(MiddleBand_Ema_in_Downtrend))

SidewaysBand_Price_was_below_Bull_level = ta.lowest(low, 1) < SidewaysBand_current_Trend_EMA
SidewaysBand_Price_is_above_Bull_level =  close > SidewaysBand_current_Trend_EMA
SidewaysBand_Price_Average_above_Bull_Level = ta.ema(low, 80) > SidewaysBand_current_Trend_EMA
SidewaysBand_Low_isnt_toLow = (ta.lowest(SidewaysBand_current_Trend_EMA, 150) - ta.lowest(low, 150)) < close * 0.0065
SidewaysBand_Trend_isnt_fresh = ta.barssince(SidewaysBand_Ema_in_Downtrend) > 50 or na(ta.barssince(SidewaysBand_Ema_in_Downtrend))



StrongBand_Buy_Alert = StronBand_Trend_isnt_fresh and StrongBand_Low_isnt_toLow and StronBand_Price_Average_above_Bull_Level and StrongBand_Price_was_below_Bull_level and StrongBand_Price_is_above_Bull_level and all_Fib_Emas_Trend_or_Sideways
MiddleBand_Buy_Alert = MiddleBand_Trend_isnt_fresh and MiddleBand_Low_isnt_toLow and MiddleBand_Price_Average_above_Bull_Level and MiddleBand_Price_was_below_Bull_level and MiddleBand_Price_is_above_Bull_level and Middle_and_Sideways_Fib_Emas_Trend_or_Sideways
SidewaysBand_Buy_Alert = SidewaysBand_Trend_isnt_fresh and SidewaysBand_Low_isnt_toLow and SidewaysBand_Price_Average_above_Bull_Level and SidewaysBand_Price_was_below_Bull_level and SidewaysBand_Price_is_above_Bull_level and (SidewaysBand_Ema_Sideways or SidewaysBand_Ema_in_Uptrend and ( not SidewaysBand_Ema_in_Downtrend))



// Sell condition
StrongBand_Price_was_above_Bear_level = ta.highest(high, 1) > StrongBand_current_Trend_EMA
StrongBand_Price_is_below_Bear_level =  close < StrongBand_current_Trend_EMA
StronBand_Price_Average_below_Bear_Level = ta.sma(high, 10) < StrongBand_current_Trend_EMA
StrongBand_High_isnt_to_High = (ta.highest(high, 15) - ta.highest(StrongBand_current_Trend_EMA, 15)) < close * 0.005
StrongBand_Bear_Trend_isnt_fresh = ta.barssince(StrongBand_Ema_in_Uptrend) > 50

MiddleBand_Price_was_above_Bear_level = ta.highest(high, 1) > MiddleBand_current_Trend_EMA
MiddleBand_Price_is_below_Bear_level =  close < MiddleBand_current_Trend_EMA
MiddleBand_Price_Average_below_Bear_Level = ta.sma(high, 9) < MiddleBand_current_Trend_EMA
MiddleBand_High_isnt_to_High = (ta.highest(high, 10) - ta.highest(MiddleBand_current_Trend_EMA, 10)) < close * 0.0065
MiddleBand_Bear_Trend_isnt_fresh = ta.barssince(MiddleBand_Ema_in_Uptrend) > 50

SidewaysBand_Price_was_above_Bear_level = ta.highest(high, 1) > SidewaysBand_current_Trend_EMA
SidewaysBand_Price_is_below_Bear_level =  close < SidewaysBand_current_Trend_EMA
SidewaysBand_Price_Average_below_Bear_Level = ta.sma(high, 20) < SidewaysBand_current_Trend_EMA
SidewaysBand_High_isnt_to_High = (ta.highest(high, 20) - ta.highest(SidewaysBand_current_Trend_EMA, 15)) < close * 0.0065
SidewaysBand_Bear_Trend_isnt_fresh = ta.barssince(SidewaysBand_Ema_in_Uptrend) > 50



StrongBand_Sell_Alert = StronBand_Price_Average_below_Bear_Level and StrongBand_High_isnt_to_High and StrongBand_Bear_Trend_isnt_fresh and StrongBand_Price_was_above_Bear_level and StrongBand_Price_is_below_Bear_level and all_Fib_Emas_Downtrend and not all_Fib_Emas_Trend_or_Sideways
MiddleBand_Sell_Alert = MiddleBand_Price_Average_below_Bear_Level and MiddleBand_High_isnt_to_High and MiddleBand_Bear_Trend_isnt_fresh and MiddleBand_Price_was_above_Bear_level and MiddleBand_Price_is_below_Bear_level and Middle_and_Sideways_Fib_Emas_Downtrend and not Middle_and_Sideways_Fib_Emas_Trend_or_Sideways
SidewaysBand_Sell_Alert = SidewaysBand_Price_Average_below_Bear_Level and SidewaysBand_High_isnt_to_High and SidewaysBand_Bear_Trend_isnt_fresh and SidewaysBand_Price_was_above_Bear_level and SidewaysBand_Price_is_below_Bear_level and SidewaysBand_Ema_in_Downtrend and not (SidewaysBand_Ema_Sideways or SidewaysBand_Ema_in_Uptrend and ( not SidewaysBand_Ema_in_Downtrend))

// Backtester


////////////////// Stop Loss

// Stop loss
enableSL =  input.bool(true, title='enable Stop Loss', group='══════════ Stop Loss Settings ══════════')
whichSL =  input.string(defval='low/high as SL', title='SL based on static % or based on the low/high', options=['low/high as SL', 'static % as SL'], group='══════════ Stop Loss Settings ══════════')
whichOffset = input.string(defval='% as offset', title='choose offset from the low/high', options=['$ as offset', '% as offset'], group='Stop Loss at the low/high')
lowPBuffer = input.float(1.4, title='SL Offset from the Low/high in %', group='Stop Loss at the low/high') / 100
lowDBuffer = input.float(100, title='SL Offset from the Low/high in $', group='Stop Loss at the low/high')
SlLowLookback = input.int(title='SL lookback for Low/high', defval=5, minval=1, maxval=50, group='Stop Loss at the low/high')


longSlLow = float(na)
shortSlLow = float(na)

if whichOffset == "% as offset" and whichSL == "low/high as SL" and enableSL
    longSlLow := ta.lowest(low, SlLowLookback) * (1 - lowPBuffer)
    shortSlLow := ta.highest(high, SlLowLookback) * (1 + lowPBuffer)
if whichOffset == "$ as offset" and whichSL == "low/high as SL" and enableSL
    longSlLow := ta.lowest(low, SlLowLookback) - lowDBuffer
    shortSlLow := ta.highest(high, SlLowLookback) + lowDBuffer
//plot(shortSlLow, title="stoploss", color=color.new(#00bcd4, 0))


// long settings - 🔥 uncomment the 6 lines below to disable the alerts and enable the backtester 
longStopLoss = input.float(0.5, title='Long Stop Loss in %', group='static % Stop Loss', inline='Input 1') / 100
// short settings - 🔥 uncomment the 6 lines below to disable the alerts and enable the backtester 
shortStopLoss = input.float(0.5, title='Short Stop Loss in %', group='static % Stop Loss', inline='Input 1') / 100

/////// Take profit

longTakeProfit1 = input.float(4, title='Long Take Profit in %', group='Take Profit', inline='Input 1') / 100


/////// Take profit

shortTakeProfit1 = input.float(1.6, title='Short Take Profit in %', group='Take Profit', inline='Input 1') / 100


////////////////// SL TP END


/////////////////// alerts 


selectalertFreq = input.string(defval='once per bar close', title='Alert Options', options=['once per bar', 'once per bar close', 'all'], group='═══════════ alert settings ═══════════')
BuyAlertMessage = input.string(defval="Bullish Divergence detected, put your SL @", title='Buy Alert Message',  group='═══════════ alert settings ═══════════')
enableSlMessage =  input.bool(true, title='enable Stop Loss Value at the end of "buy Alert message"', group='═══════════ alert settings ═══════════')
AfterSLMessage = input.string(defval="", title='Buy Alert message after SL Value',  group='═══════════ alert settings ═══════════')


 
////////////////// Backtester 

// 🔥 uncomment the all lines below for the backtester and revert for alerts
shortTrading = enable_MiddleBand_Bear or enable_StrongBand_Bear or enable_SidewaysBand_Bear
longTrading = enable_StrongBand_Bull or enable_MiddleBand_Bull or enable_SidewaysBand_Bull

longTP1 = strategy.position_size > 0 ? strategy.position_avg_price * (1 + longTakeProfit1) : strategy.position_size < 0 ? strategy.position_avg_price * (1 - longTakeProfit1) : na
longSL = strategy.position_size > 0 ? strategy.position_avg_price * (1 - longStopLoss) : strategy.position_size < 0 ? strategy.position_avg_price * (1 + longStopLoss) : na

shortTP = strategy.position_size > 0 ? strategy.position_avg_price * (1 + shortTakeProfit1) : strategy.position_size < 0 ? strategy.position_avg_price * (1 - shortTakeProfit1) : na
shortSL = strategy.position_size > 0 ? strategy.position_avg_price * (1 - shortStopLoss) : strategy.position_size < 0 ? strategy.position_avg_price * (1 + shortStopLoss) : na

strategy.risk.allow_entry_in(longTrading == true and shortTrading == true ? strategy.direction.all : longTrading == true ? strategy.direction.long : shortTrading == true ? strategy.direction.short : na)
strategy.entry('Bull', strategy.long, comment='Upper Band Long', when=StrongBand_Buy_Alert)
strategy.entry('Bull', strategy.long, comment='Lower Band Long', when=MiddleBand_Buy_Alert)
strategy.entry('Bull', strategy.long, comment='Lower Band Long', when=SidewaysBand_Buy_Alert)
strategy.entry('Bear', strategy.short, comment='Upper Band Short', when=StrongBand_Sell_Alert)
strategy.entry('Bear', strategy.short, comment='Lower Band Short', when=MiddleBand_Sell_Alert)
strategy.entry('Bear', strategy.short, comment='Lower Band Short', when=SidewaysBand_Sell_Alert)




// check which SL to use
if enableSL and whichSL == 'static % as SL'
    strategy.exit(id='longTP-SL', from_entry='Bull', limit=longTP1, stop=longSL)
    strategy.exit(id='shortTP-SL', from_entry='Bear', limit=shortTP, stop=shortSL)


// get bars since last entry for the SL at low to work
barsSinceLastEntry()=>
    strategy.opentrades > 0 ? (bar_index - strategy.opentrades.entry_bar_index(strategy.opentrades-1)) : na
    
if enableSL and whichSL == 'low/high as SL' and ta.barssince(StrongBand_Buy_Alert or MiddleBand_Buy_Alert or SidewaysBand_Buy_Alert) < 2 and barsSinceLastEntry() < 2
    strategy.exit(id='longTP-SL', from_entry='Bull', limit=longTP1, stop=longSlLow)
if enableSL and whichSL == 'low/high as SL' and ta.barssince(StrongBand_Sell_Alert or MiddleBand_Sell_Alert or SidewaysBand_Sell_Alert) < 2 and barsSinceLastEntry() < 2
    strategy.exit(id='shortTP-SL', from_entry='Bear', limit=shortTP, stop=shortSlLow)


if not enableSL
    strategy.exit(id='longTP-SL', from_entry='Bull', limit=longTP1)
    strategy.exit(id='shortTP-SL', from_entry='Bear', limit=shortTP)

Más.