EMA/ADX/VOL: el asesino de las criptomonedas
Fecha de creación:
2023-12-05 11:03:37
Última modificación:
2023-12-05 11:03:37
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Utiliza el sistema de EMA para determinar la dirección de la tendencia, el indicador ADX para determinar la fuerza de la tendencia y una estrategia de negociación cuantitativa para ingresar a la bolsa junto con el filtro de volumen de transacción
El principio
La estrategia utiliza primero los cinco EMA promedio de diferentes períodos para determinar la dirección de la tendencia de los precios. Cuando los cinco EMA promedio suben todos, se determina la formación de una tendencia de más cabeza, y cuando los cinco EMA promedio bajan todos, se determina la formación de una tendencia de cabeza.
El indicador ADX se utiliza para evaluar la fuerza y la debilidad de la tendencia, y se juzga como un movimiento de múltiples cabezas cuando la línea DI + es superior a la línea DI y el ADX supera el umbral establecido, y como un movimiento de cabeza vacía cuando la línea DI es superior a la línea DI + y el ADX supera el umbral establecido.
Al mismo tiempo, aprovechar la ruptura del volumen de transacciones para realizar una confirmación adicional, requiere que el volumen de transacciones de la línea K actual sea mayor que el múltiplo de la media de un determinado período, para evitar la entrada errónea en posiciones de bajo volumen.
La combinación de la dirección de la tendencia, la intensidad de la tendencia y el volumen de transacciones, forma la lógica de apertura de posiciones de múltiples y vacíos de la estrategia.
Las ventajas
El uso de un sistema de medias EMA para determinar la dirección de la tendencia es más fiable que el uso de una sola medias EMA.
Utiliza el indicador ADX para determinar la fuerza de la tendencia y evitar entradas erróneas cuando no hay una tendencia clara.
El mecanismo de filtración de volumen de transacciones garantiza un adecuado apoyo de volumen de transacciones y mejora la fiabilidad de la estrategia.
En la mayoría de los casos, las señales de apertura son más precisas y confiables.
La estrategia tiene más parámetros, y se puede mejorar la eficacia de la estrategia a través de la optimización de los parámetros.
Riesgos y soluciones
En situaciones de crisis, los juicios de EMA, ADX, etc. pueden emitir señales erróneas, lo que genera pérdidas innecesarias. Se pueden ajustar los parámetros adecuadamente o agregar otros indicadores para un juicio auxiliar.
Las condiciones de filtración de volumen de transacciones son demasiado estrictas y pueden perder oportunidades de mercado, por lo que se puede reducir adecuadamente el parámetro de filtración de volumen de transacciones.
La estrategia puede generar una mayor frecuencia de operaciones, por lo que se debe prestar atención a la administración de fondos y controlar adecuadamente el tamaño de las posiciones individuales.
Dirección de optimización
Prueba diferentes combinaciones de parámetros para encontrar los mejores y mejorar la eficacia de la estrategia.
Añadir otros indicadores, como MACD, KDJ y otros en combinación con EMA y ADX, para formar un juicio de apertura de posición más sólido.
Añadir estrategias de stop loss para controlar aún más el riesgo.
Optimizar las estrategias de gestión de posiciones para lograr una gestión de fondos más científica.
Resumir
La estrategia toma en cuenta la dirección de la tendencia del precio, la intensidad de la tendencia y la información sobre el volumen de operaciones, forma una regla de apertura de posición, evita en cierta medida las trampas comunes de error y tiene una mayor fiabilidad. Sin embargo, aún se necesita mejorar el sistema de estrategia mediante la optimización de los parámetros, la selección de indicadores y el control de riesgos para mejorar aún más la eficacia. En general, el marco de la estrategia tiene un gran potencial de expansión y espacio para la optimización.
Código Fuente de la Estrategia
/*backtest
start: 2022-11-28 00:00:00
end: 2023-12-04 00:00:00
period: 1d
basePeriod: 1h
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/
// © BabehDyo
//@version=4
strategy("EMA/ADX/VOL-CRYPTO KILLER [15M]", overlay = true, pyramiding=1,initial_capital = 10000, default_qty_type= strategy.percent_of_equity, default_qty_value = 100, calc_on_order_fills=false, slippage=0,commission_type=strategy.commission.percent,commission_value=0.03)
//SOURCE =============================================================================================================================================================================================================================================================================================================
src = input(open, title=" Source")
// Inputs ========================================================================================================================================================================================================================================================================================================
//ADX --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
ADX_options = input("MASANAKAMURA", title=" Adx Type", options = ["CLASSIC", "MASANAKAMURA"], group="ADX")
ADX_len = input(21, title=" Adx Length", type=input.integer, minval = 1, group="ADX")
th = input(20, title=" Adx Treshold", type=input.float, minval = 0, step = 0.5, group="ADX")
//EMA--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Length_ema1 = input(8, title=" 1-EMA Length", minval=1)
Length_ema2 = input(13, title=" 2-EMA Length", minval=1)
Length_ema3 = input(21, title=" 3-EMA Length", minval=1)
Length_ema4 = input(34, title=" 4-EMA Length", minval=1)
Length_ema5 = input(55, title=" 5-EMA Length", minval=1)
// Range Filter ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
per_ = input(15, title=" Period", minval=1, group = "Range Filter")
mult = input(2.6, title=" mult.", minval=0.1, step = 0.1, group = "Range Filter")
// Volume ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
volume_f = input(3.2, title=" Volume mult.", minval = 0, step = 0.1, group="Volume")
sma_length = input(20, title=" Volume lenght", minval = 1, group="Volume")
volume_f1 = input(1.9, title=" Volume mult. 1", minval = 0, step = 0.1, group="Volume")
sma_length1 = input(22, title=" Volume lenght 1", minval = 1, group="Volume")
//TP PLOTSHAPE -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
tp_long0 = input(0.9, title=" % TP Long", type = input.float, minval = 0, step = 0.1, group="Target Point")
tp_short0 = input(0.9, title=" % TP Short", type = input.float, minval = 0, step = 0.1, group="Target Point")
// SL PLOTSHAPE ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
sl0 = input(4.2, title=" % Stop loss", type = input.float, minval = 0, step = 0.1, group="Stop Loss")
//INDICATORS =======================================================================================================================================================================================================================================================================================================
//ADX-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
calcADX(_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)
sum = _plus + _minus
_adx = 100 * rma(abs(_plus - _minus) / (sum == 0 ? 1 : sum), _len)
[_plus,_minus,_adx]
calcADX_Masanakamura(_len) =>
SmoothedTrueRange = 0.0
SmoothedDirectionalMovementPlus = 0.0
SmoothedDirectionalMovementMinus = 0.0
TrueRange = max(max(high - low, abs(high - nz(close[1]))), abs(low - nz(close[1])))
DirectionalMovementPlus = high - nz(high[1]) > nz(low[1]) - low ? max(high - nz(high[1]), 0) : 0
DirectionalMovementMinus = nz(low[1]) - low > high - nz(high[1]) ? max(nz(low[1]) - low, 0) : 0
SmoothedTrueRange := nz(SmoothedTrueRange[1]) - (nz(SmoothedTrueRange[1]) /_len) + TrueRange
SmoothedDirectionalMovementPlus := nz(SmoothedDirectionalMovementPlus[1]) - (nz(SmoothedDirectionalMovementPlus[1]) / _len) + DirectionalMovementPlus
SmoothedDirectionalMovementMinus := nz(SmoothedDirectionalMovementMinus[1]) - (nz(SmoothedDirectionalMovementMinus[1]) / _len) + DirectionalMovementMinus
DIP = SmoothedDirectionalMovementPlus / SmoothedTrueRange * 100
DIM = SmoothedDirectionalMovementMinus / SmoothedTrueRange * 100
DX = abs(DIP-DIM) / (DIP+DIM)*100
adx = sma(DX, _len)
[DIP,DIM,adx]
[DIPlusC,DIMinusC,ADXC] = calcADX(ADX_len)
[DIPlusM,DIMinusM,ADXM] = calcADX_Masanakamura(ADX_len)
DIPlus = ADX_options == "CLASSIC" ? DIPlusC : DIPlusM
DIMinus = ADX_options == "CLASSIC" ? DIMinusC : DIMinusM
ADX = ADX_options == "CLASSIC" ? ADXC : ADXM
L_adx = DIPlus > DIMinus and ADX > th
S_adx = DIPlus < DIMinus and ADX > th
//EMA-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
xPrice = close
EMA1 = ema(xPrice, Length_ema1)
EMA2 = ema(xPrice, Length_ema2)
EMA3 = ema(xPrice, Length_ema3)
EMA4 = ema(xPrice, Length_ema4)
EMA5 = ema(xPrice, Length_ema5)
L_ema = EMA1 < close and EMA2 < close and EMA3 < close and EMA4 < close and EMA5 < close
S_ema = EMA1 > close and EMA2 > close and EMA3 > close and EMA4 > close and EMA5 > close
// Range Filter ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var bool L_RF = na, var bool S_RF = na
Range_filter(_src, _per_, _mult)=>
var float _upward = 0.0
var float _downward = 0.0
wper = (_per_*2) - 1
avrng = ema(abs(_src - _src[1]), _per_)
_smoothrng = ema(avrng, wper)*_mult
_filt = _src
_filt := _src > nz(_filt[1]) ? ((_src-_smoothrng) < nz(_filt[1]) ? nz(_filt[1]) : (_src-_smoothrng)) : ((_src+_smoothrng) > nz(_filt[1]) ? nz(_filt[1]) : (_src+_smoothrng))
_upward := _filt > _filt[1] ? nz(_upward[1]) + 1 : _filt < _filt[1] ? 0 : nz(_upward[1])
_downward := _filt < _filt[1] ? nz(_downward[1]) + 1 : _filt > _filt[1] ? 0 : nz(_downward[1])
[_smoothrng,_filt,_upward,_downward]
[smoothrng, filt, upward, downward] = Range_filter(src, per_, mult)
hband = filt + smoothrng
lband = filt - smoothrng
L_RF := high > hband and upward > 0
S_RF := low < lband and downward > 0
// Volume -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Volume_condt = volume > sma(volume,sma_length)*volume_f
Volume_condt1 = volume > sma(volume,sma_length1)*volume_f1
//STRATEGY ==========================================================================================================================================================================================================================================================================================================
var bool longCond = na, var bool shortCond = na
var int CondIni_long = 0, var int CondIni_short = 0
var bool _Final_longCondition = na, var bool _Final_shortCondition = na
var float last_open_longCondition = na, var float last_open_shortCondition = na
var int last_longCondition = na, var int last_shortCondition = na
var int last_Final_longCondition = na, var int last_Final_shortCondition = na
var int nLongs = na, var int nShorts = na
L_1 = L_adx and Volume_condt and L_RF and L_ema
S_1 = S_adx and Volume_condt and S_RF and S_ema
L_2 = L_adx and L_RF and L_ema and Volume_condt1
S_2 = S_adx and S_RF and S_ema and Volume_condt1
L_basic_condt = L_1 or L_2
S_basic_condt = S_1 or S_2
longCond := L_basic_condt
shortCond := S_basic_condt
CondIni_long := longCond[1] ? 1 : shortCond[1] ? -1 : nz(CondIni_long[1] )
CondIni_short := longCond[1] ? 1 : shortCond[1] ? -1 : nz(CondIni_short[1] )
longCondition = (longCond[1] and nz(CondIni_long[1]) == -1 )
shortCondition = (shortCond[1] and nz(CondIni_short[1]) == 1 )
//POSITION PRICE-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var float sum_long = 0.0, var float sum_short = 0.0
var float Position_Price = 0.0
last_open_longCondition := longCondition ? close[1] : nz(last_open_longCondition[1] )
last_open_shortCondition := shortCondition ? close[1] : nz(last_open_shortCondition[1] )
last_longCondition := longCondition ? time : nz(last_longCondition[1] )
last_shortCondition := shortCondition ? time : nz(last_shortCondition[1] )
in_longCondition = last_longCondition > last_shortCondition
in_shortCondition = last_shortCondition > last_longCondition
last_Final_longCondition := longCondition ? time : nz(last_Final_longCondition[1] )
last_Final_shortCondition := shortCondition ? time : nz(last_Final_shortCondition[1] )
nLongs := nz(nLongs[1] )
nShorts := nz(nShorts[1] )
if longCondition
nLongs := nLongs + 1
nShorts := 0
sum_long := nz(last_open_longCondition) + nz(sum_long[1])
sum_short := 0.0
if shortCondition
nLongs := 0
nShorts := nShorts + 1
sum_short := nz(last_open_shortCondition)+ nz(sum_short[1])
sum_long := 0.0
Position_Price := nz(Position_Price[1])
Position_Price := longCondition ? sum_long/nLongs : shortCondition ? sum_short/nShorts : na
//TP---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
var bool long_tp = na, var bool short_tp = na
var int last_long_tp = na, var int last_short_tp = na
var bool Final_Long_tp = na, var bool Final_Short_tp = na
var bool Final_Long_sl0 = na, var bool Final_Short_sl0 = na
var bool Final_Long_sl = na, var bool Final_Short_sl = na
var int last_long_sl = na, var int last_short_sl = na
tp_long = ((nLongs > 1) ? tp_long0 / nLongs : tp_long0) / 100
tp_short = ((nShorts > 1) ? tp_short0 / nShorts : tp_short0) / 100
long_tp := high > (fixnan(Position_Price) * (1 + tp_long)) and in_longCondition
short_tp := low < (fixnan(Position_Price) * (1 - tp_short)) and in_shortCondition
last_long_tp := long_tp ? time : nz(last_long_tp[1])
last_short_tp := short_tp ? time : nz(last_short_tp[1])
Final_Long_tp := (long_tp and last_longCondition > nz(last_long_tp[1]) and last_longCondition > nz(last_long_sl[1]))
Final_Short_tp := (short_tp and last_shortCondition > nz(last_short_tp[1]) and last_shortCondition > nz(last_short_sl[1]))
L_tp = iff(Final_Long_tp, fixnan(Position_Price) * (1 + tp_long) , na)
S_tp = iff(Final_Short_tp, fixnan(Position_Price) * (1 - tp_short) , na)
//TP SIGNALS--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
tplLevel = (in_longCondition and
(last_longCondition > nz(last_long_tp[1])) and
(last_longCondition > nz(last_long_sl[1])) and not Final_Long_sl[1]) ?
(nLongs > 1) ?
(fixnan(Position_Price) * (1 + tp_long)) : (last_open_longCondition * (1 + tp_long)) : na
tpsLevel = (in_shortCondition and
(last_shortCondition > nz(last_short_tp[1])) and
(last_shortCondition > nz(last_short_sl[1])) and not Final_Short_sl[1]) ?
(nShorts > 1) ?
(fixnan(Position_Price) * (1 - tp_short)) : (last_open_shortCondition * (1 - tp_short)) : na
//SL ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Risk = sl0
Percent_Capital = 99
sl = in_longCondition ? min(sl0,(((Risk) * 100) / (Percent_Capital * max(1, nLongs)))) :
in_shortCondition ? min(sl0,(((Risk) * 100) / (Percent_Capital * max(1, nShorts)))) : sl0
Normal_long_sl = ((in_longCondition and low <= ((1 - (sl / 100)) * (fixnan(Position_Price)))))
Normal_short_sl = ((in_shortCondition and high >= ((1 + (sl / 100)) * (fixnan(Position_Price)))))
last_long_sl := Normal_long_sl ? time : nz(last_long_sl[1])
last_short_sl := Normal_short_sl ? time : nz(last_short_sl[1])
Final_Long_sl := Normal_long_sl and last_longCondition > nz(last_long_sl[1]) and last_longCondition > nz(last_long_tp[1]) and not Final_Long_tp
Final_Short_sl := Normal_short_sl and last_shortCondition > nz(last_short_sl[1]) and last_shortCondition > nz(last_short_tp[1]) and not Final_Short_tp
//RE-ENTRY ON TP-HIT-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
if Final_Long_tp or Final_Long_sl
CondIni_long := -1
sum_long := 0.0
nLongs := na
if Final_Short_tp or Final_Short_sl
CondIni_short := 1
sum_short := 0.0
nShorts := na
// Colors ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Bar_color = in_longCondition ? #009688 : in_shortCondition ? #f06292 : color.orange
barcolor (color = Bar_color)
//PLOTS==============================================================================================================================================================================================================================================================================================================
plot(L_tp, title = "TP_L", style = plot.style_cross, color = color.fuchsia, linewidth = 7 )
plot(S_tp, title = "TP_S", style = plot.style_cross, color = color.fuchsia, linewidth = 7 )
//Price plots ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
plot((nLongs > 1) or (nShorts > 1) ? Position_Price : na, title = "Price", color = in_longCondition ? color.aqua : color.orange, linewidth = 2, style = plot.style_cross)
plot(tplLevel, title="Long TP ", style = plot.style_cross, color=color.fuchsia, linewidth = 1 )
plot(tpsLevel, title="Short TP ", style = plot.style_cross, color=color.fuchsia, linewidth = 1 )
//PLOTSHAPES----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
plotshape(Final_Long_tp, title="TP Long Signal", style = shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny , text="TP", textcolor=color.red, transp = 0 )
plotshape(Final_Short_tp, title="TP Short Signal", style = shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny , text="TP", textcolor=color.green, transp = 0 )
plotshape(longCondition, title="Long", style=shape.triangleup, location=location.belowbar, color=color.blue, size=size.tiny , transp = 0 )
plotshape(shortCondition, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny , transp = 0 )
// Backtest ==================================================================================================================================================================================================================================================================================================================================
if L_basic_condt
strategy.entry ("LONG", strategy.long )
if S_basic_condt
strategy.entry ("SHORT", strategy.short )
strategy.exit("TP_L", "LONG", profit = (abs((last_open_longCondition * (1 + tp_long)) - last_open_longCondition) / syminfo.mintick), limit = nLongs >= 1 ? strategy.position_avg_price * (1 + tp_long) : na, loss = (abs((last_open_longCondition*(1-(sl/100)))-last_open_longCondition)/syminfo.mintick))
strategy.exit("TP_S", "SHORT", profit = (abs((last_open_shortCondition * (1 - tp_short)) - last_open_shortCondition) / syminfo.mintick), limit = nShorts >= 1 ? strategy.position_avg_price*(1-(tp_short)) : na, loss = (abs((last_open_shortCondition*(1+(sl/100)))-last_open_shortCondition)/syminfo.mintick))
//By BabehDyo