Estrategia de negociación de inversión con bandas de Bollinger, RSI, ADX y ATR

El autor:¿ Qué pasa?, Fecha: 2024-02-21 14:13:47
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Resumen general

Esta estrategia integra múltiples indicadores técnicos. Busca oportunidades comerciales de reversión de alta probabilidad cuando el indicador Bollinger Bands genera señales de reversión de precios, combinadas con juicios sobre la estructura del mercado a partir de los indicadores RSI, ADX y ATR.

Estrategia lógica

  1. Utilice bandas de Bollinger de 20 períodos y espere patrones de velas de inversión cuando el precio alcance máximos o mínimos de banda.

  2. El indicador RSI juzga si el mercado está en modo de rango, con RSI por encima de 60 que indica rango alcista y por debajo de 40 rango bajista.

  3. ADX por debajo de 20 sugiere condiciones de mercado variadas, mientras que por encima de 20 sugiere condiciones de tendencia.

  4. El ATR establece el stop loss y el stop loss trasero.

  5. Filtro adicional de las líneas EMA.

Análisis de ventajas

  1. La combinación de múltiples indicadores proporciona señales de negociación de alta probabilidad.

  2. Los parámetros configurables se adaptan a los diferentes entornos del mercado.

  3. Las reglas estrictas de stop loss controlan eficazmente los riesgos.

Análisis de riesgos

  1. La configuración incorrecta de los parámetros puede causar una negociación demasiado frecuente.

  2. Todavía existe la probabilidad de fallo de reversión.

  3. El stop loss de seguimiento puede fallar en ciertos mercados.

Direcciones de optimización

  1. Prueba más combinaciones de indicadores para encontrar mejores configuraciones de parámetros.

  2. Identificar oportunamente las oportunidades de reversión de la continuación después del fallo inicial.

  3. Prueba diferentes métodos de stop loss para hacer que las paradas sean más inteligentes.

Conclusión

Esta estrategia utiliza bandas de Bollinger para las señales comerciales principales, y múltiples indicadores auxiliares forman un sistema de filtrado de alta probabilidad. Las reglas de stop loss también son bastante completas.


/*backtest
start: 2024-01-01 00:00:00
end: 2024-01-31 23:59:59
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
strategy(shorttitle="BB + EMA + RSI + ADX + ATR Reversal", title="Bollinger Bands Reversal", overlay=true)

// Inputs
ema1Input       = input(title = "EMA1 Input",                          defval = 200,   minval = 10,    maxval = 400,   step = 10,                      group = "Indicators")
ema2Input       = input(title = "EMA2 Input",                          defval = 100,   minval = 10,    maxval = 400,   step = 10,                      group = "Indicators")
length          = input(title = "BB Length",                           defval = 20,    minval=1,                                                       group = "Bollinger Band Indicator")
bbsrc           = input(title = "BB Source",                            defval = close,                                                                 group = "Bollinger Band Indicator")
mult            = input(title = "BB Standard Deviation",            type = input.float,     defval = 2.0,   minval=0.001,   maxval=50,                                      group = "Bollinger Band Indicator")
offset          = input(title = "BB Offset",                           defval = 0,     minval = -500,  maxval = 500,                                   group = "Bollinger Band Indicator")  
rsilen          = input(title = "RSI Length",                          defval = 14,    minval=1,                                                       group = "RSI Indicator")
rsisrc          = input(title = "RSI Source",                           defval = close,                                                                 group = "RSI Indicator")
rsiMaxEntry     = input(title = "RSI Maximum Value",                   defval = 60,    minval = 50,    maxval = 100,                                   group = "RSI Indicator")
rsiMinEntry     = input(title = "RSI Minimum Value",                   defval = 40,    minval = 0,     maxval = 50,                                    group = "RSI Indicator")
rsiMaxExit      = input(title = "RSI Max Exit Value",                  defval = 70,    minval = 50,    maxval = 100,                                   group = "RSI Indicator")
rsiMinExit      = input(title = "RSI Min Exit Value",                  defval = 30,    minval = 0,     maxval = 50,                                    group = "RSI Indicator")
atrLength       = input(title = "ATR Length",                          defval = 14,    minval = 1,                                                     group = "ATR Indicator")
useStructure    = input(title = "Use Trailing Stop?",               type = input.bool,      defval = true,                                                                  group = "ATR Indicator")
atrlookback     = input(title = "ATR Lookback Period",                 defval = 7,     minval = 1,                                                     group = "ATR Indicator")
atrMultiplier   = input(title = "ATR Multiplier",                   type = input.float,     defval = 1.0,   minval = 0.1,                                                   group = "ATR Indicator")
sigMaxValue     = input(title = "ADX Max Value",                    type = input.float,     defval = 20.0,  minval = 0,     maxval = 100,   step = 0.1,                     group = "ADX Indicator")
adxlen          = input(title = "ADX Smoothing",                       defval = 14,                                                                    group = "ADX Indicator")
dilen           = input(title = "DI Length",                           defval = 14,                                                                    group = "ADX Indicator")

// Date input
fromMonth       = input(defval = 1,    title = "From Month",           minval = 1,     maxval = 12,    group = "Backtest Date Range")
fromDay         = input(defval = 1,    title = "From Day",             minval = 1,     maxval = 31,    group = "Backtest Date Range")
fromYear        = input(defval = 2000, title = "From Year",            minval = 1970,                  group = "Backtest Date Range")
thruMonth       = input(defval = 1,    title = "Thru Month",           minval = 1,     maxval = 12,    group = "Backtest Date Range")
thruDay         = input(defval = 1,    title = "Thru Day",             minval = 1,     maxval = 31,    group = "Backtest Date Range")
thruYear        = input(defval = 2099, title = "Thru Year",            minval = 1970,                  group = "Backtest Date Range")
inDataRange     = true

// Built in Bollinger Band
basis           = sma(bbsrc, length)
dev             = mult * stdev(bbsrc, length)
upper           = basis + dev
lower           = basis - dev
// Built in RSI
up              = rma(max(change(rsisrc), 0), rsilen)
down            = rma(-min(change(rsisrc), 0), rsilen)
rsi             = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
// Built in ADX
dirmov(len) =>
	up = change(high)
	down = -change(low)
	plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
	minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
	truerange = rma(tr, len)
	plus = fixnan(100 * rma(plusDM, len) / truerange)
	minus = fixnan(100 * rma(minusDM, len) / truerange)
	[plus, minus]
adx(dilen, adxlen) =>
	[plus, minus] = dirmov(dilen)
	sum = plus + minus
	adx = 100 * rma(abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
sig = adx(dilen, adxlen)

// Custom variables
ema1 = ema(close, ema1Input)
ema2 = ema(close, ema2Input)
atr = atr(atrLength)

// Entry and exit signals
CrossLongEntry  = (close <= lower or close[1] <= lower[1]) and close > open and close[1] < open[1] and close > ema1 and close > ema2 and strategy.position_size == 0 and inDataRange and rsi > rsiMinEntry and rsi < rsiMaxEntry and sig < sigMaxValue
CrossShortEntry = (close >= upper or close[1] >= upper[1]) and close < open and close[1] > open[1] and close < ema1 and close < ema2 and strategy.position_size == 0 and inDataRange and rsi > rsiMinEntry and rsi < rsiMaxEntry and sig < sigMaxValue

CrossLongExit   = (close >= upper or close[1] >= upper[1]) and close < open and close[1] > open[1] and strategy.position_size > 0 and inDataRange or rsi < rsiMinExit or rsi > rsiMaxExit
CrossShortExit  = (close <= lower or close[1] <= lower[1]) and close > open and close[1] < open[1] and strategy.position_size < 0 and inDataRange or rsi < rsiMinExit or rsi > rsiMaxExit

// Determining the stop loss based on ATR
StopLossLong    = (useStructure ? lowest(low, atrlookback) : close) - atr * atrMultiplier
StopLossShort   = (useStructure ? highest(high, atrlookback) : close) + atr * atrMultiplier

// Custom variables used to store the stoploss value
var StopLong    = 0.0
var StopShort   = 0.0
// Telling my script to store the stoploss value in the corresponding variables
if CrossLongEntry
    StopLong := StopLossLong
if CrossShortEntry
    StopShort := StopLossShort

// Strategy
strategy.entry("Entry Long", strategy.long, when = CrossLongEntry, comment = "Entry Long")
strategy.close("Entry Long", when = CrossLongExit or close < StopLong, comment = "Long Exit")

strategy.entry("Entry Short", strategy.short, when = CrossShortEntry, comment = "Entry Short")
strategy.close("Entry Short", when = CrossShortExit or close > StopShort, comment = "Short Exit")

// Plots the Bollinger Band
plot(basis, "Basis", color=#872323, offset = offset)
p1 = plot(upper, "Upper", color=color.teal, offset = offset)
p2 = plot(lower, "Lower", color=color.teal, offset = offset)
fill(p1, p2, title = "Background", color=#198787, transp=95)

// Use this if you want to see the stoploss visualised, be aware though plotting these can be confusing
// plot(StopLong)
// plot(StopShort)

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