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Estrategia de cantidad con señal estocástica, filtro SMA y stop de pérdida/toma ganancia aleatoria

El autor:¿ Qué pasa?, Fecha: 2024-01-08 16:07:02
Las etiquetas:

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Resumen general

La estrategia se llama DayLight Hunter Quant Strategy con posición bidireccional, señal estocástica y stop loss / take profit aleatorio. La idea principal es generar señales comerciales con el indicador estocástico, filtrar las señales con SMA, implementar la apertura de posición bidireccional y establecer puntos de stop loss y take profit aleatorios para bloquear las ganancias.

Estrategia lógica

La estrategia utiliza el indicador estocástico de 5 días %K y los cruces de la línea %D para generar señales de negociación. Cuando el %K cruza el %D desde abajo, se genera una señal de compra. Cuando el %K cruza por debajo del %D desde arriba, se genera una señal de venta. Para filtrar las señales falsas, se utilizan líneas SMA de 50 días - solo cuando el precio de cierre está por debajo del punto más bajo del SMA, una señal de compra es válida; solo cuando el precio de cierre está por encima del punto más alto del SMA, una señal de venta es válida.

Al recibir una señal de compra, la estrategia abrirá una posición larga con una cantidad fija. Al recibir una señal de venta, si está en modo de negociación unidireccional, cerrará la posición larga anterior y abrirá una posición corta. Si está en modo de cobertura, simplemente abrirá una posición corta adicional para cubrir. Para cada unidad de negociación, se establecen puntos de stop loss y take profit aleatorios basados en un cierto porcentaje del precio actual. Esto permite bloquear las ganancias y controlar los riesgos.

Ventajas

La mayor ventaja de esta estrategia es que utiliza señales estocásticas con filtro SMA para lograr una tasa de señales falsas relativamente baja en el comercio bidireccional. Esto proporciona más oportunidades de ganancia. Además, el mecanismo de stop loss / take profit aleatorio permite obtener ganancias a tiempo después de obtener ganancias, evitando devolver todas las ganancias; y cortar pérdidas en caso de pérdidas enormes, para reducir las pérdidas. En resumen, la estrategia tiene un mayor margen de ganancia y un mejor control de riesgos.

Los riesgos

Los principales riesgos de esta estrategia incluyen señales falsas del indicador estocástico que pueden conducir a pérdidas innecesarias; puntos de stop loss / take profit aleatorios inadecuados pueden ser demasiado agresivos, causando una salida prematura o tardía, lo que afecta a la rentabilidad; la incapacidad de reducir las pérdidas a tiempo en las operaciones de cobertura puede conducir a la amplificación de las pérdidas.

Para reducir los riesgos, los parámetros del filtro SMA se pueden optimizar para filtrar más señales falsas. También considere combinar otros indicadores para determinar las tendencias del mercado para evitar el comercio contra tendencias. Finalmente, se debe establecer un rango de stop loss razonable y se deben utilizar puntos de stop loss independientes para las unidades de cobertura para controlar el riesgo.

Direcciones de optimización

Las estrategias pueden optimizarse en los siguientes aspectos:

  1. Optimizar los parámetros del Estocástico para encontrar la mejor combinación de parámetros para reducir las señales falsas.

  2. Optimizar o añadir otros indicadores técnicos para ayudar a Stochastic a determinar las tendencias, por ejemplo, MACD, KD, etc.

  3. Utilice modelos de aprendizaje automático para estudiar métricas como precisión, tasa de ganancia, etc. de señales estocásticas bajo diferentes parámetros, para encontrar el espacio óptimo de parámetros.

  4. Optimizar los algoritmos aleatorios de stop loss/take profit para hacerlos más inteligentes y dinámicos, por ejemplo, incorporar conceptos como mover los stop loss, dimensionar las posiciones, etc.

  5. Añadir un módulo de dimensionamiento de la posición, permitiendo ajustes dinámicos de la posición basados en el rendimiento, los regímenes de mercado, etc.

Conclusión

La estrategia DayLight Hunter Quant con posición bidireccional, señal estocástica y pérdida / ganancia aleatoria combina señales de cruce estocástica, principio de filtro SMA, comercio bidireccional y método de pérdida / ganancia aleatoria. Tiene ventajas como señales relativamente precisas, abundantes oportunidades de negociación bidireccional, pérdida / ganancia flexible y riesgos dentro de un rango aceptable.


/*backtest
start: 2023-12-31 00:00:00
end: 2024-01-07 00:00:00
period: 15m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
var int slippage = 0
strategy("X48 - DayLight Hunter | Strategy | V.01.01", overlay=true, calc_on_order_fills = true, initial_capital = 50,default_qty_type = strategy.fixed, default_qty_value = 1, commission_type = strategy.commission.percent, commission_value = 0, currency = currency.USD, slippage = 0)

var bool hedge_mode = false
var int sto_buy = 0
var int sto_sell = 0

Trade_Mode = input.string(defval = "Hedge", title = "⚖️ Mode For Trade [Oneway / Hedge]", options = ["Oneway", "Hedge"], group = "Mode Trade", tooltip = "Oneway = Switching Position Type With Signal\nHedge Mode = Not Switching Position Type Unitl TP or SL")
Risk_Mode = input.string(defval = "Low Risk", title = "⚖️ Risk Signal Mode [Low / Medium / High]", options = ["Low Risk", "Medium Risk", "High Risk"], group = "Mode Trade", tooltip = "[[Signal Form Stochastic]]\nLow Risk is >= 80 and <= 20\nMedium Risk is >= 70 and <= 30\nHigh Risk is >= 50 and <=50")

if Trade_Mode == "Oneway"
    hedge_mode := false
else
    hedge_mode := true

if Risk_Mode == "Low Risk"
    sto_buy := 20
    sto_sell := 80
else if Risk_Mode == "Medium Risk"
    sto_buy := 30
    sto_sell := 70
else if Risk_Mode == "High Risk"
    sto_buy := 50
    sto_sell := 50

periodK = input.int(15, title="%K Length", minval=1, group = "Stochastic Setting", inline = "Sto0")
smoothK = input.int(3, title="%K Smoothing", minval=1, group = "Stochastic Setting", inline = "Sto0")
periodD = input.int(3, title="%D Smoothing", minval=1, group = "Stochastic Setting", inline = "Sto0")

SMA_Mode = input.bool(defval = true, title = "SMA High and Low Filter Mode", group = "SMA Filter Mode", tooltip = "Sell Signal With Open >= SMA High\nBuy Signal With Close <= SMA Low")
SMA_High = input.int(defval = 50, title = "SMA High", group = "SMA Filter Mode", inline = "SMA1")
SMA_Low = input.int(defval = 50, title = "SMA Low", group = "SMA Filter Mode", inline = "SMA1")

k = ta.sma(ta.stoch(close, high, low, periodK), smoothK)
d = ta.sma(k, periodD)
high_line = ta.sma(high, SMA_High)
low_line = ta.sma(low, SMA_Low)
plot(SMA_Mode ? high_line : na, "H-Line", color = color.yellow, linewidth = 2)
plot(SMA_Mode ? low_line : na, "L-Line", color = color.blue, linewidth = 2)

entrybuyprice = strategy.position_avg_price

var bool longcondition = na
var bool shortcondition = na

if SMA_Mode == true
    longcondition := ta.crossover(k,d) and d <= sto_buy and close < low_line and open < low_line// or ta.crossover(k, 20)// and close <= low_line
    shortcondition := ta.crossunder(k,d) and d >= sto_sell and close > high_line and open > high_line// or ta.crossunder(k, 80)// and close >= high_line
else
    longcondition := ta.crossover(k,d) and d <= sto_buy
    shortcondition := ta.crossunder(k,d) and d >= sto_sell
//longcondition_double = ta.crossover(d,20) and close < low_line// and strategy.position_size > 0
//shortcondition_double = ta.crossunder(d,80) and close > high_line// and strategy.position_size < 0

//=============== TAKE PROFIT and STOP LOSS by % =================

tpsl(percent) =>
    strategy.position_avg_price * percent / 100 / syminfo.mintick
GR4 = "=====🆘🆘🆘 TAKE PROFIT & STOP LOSS BY [%] 🆘🆘🆘====="
mode= input.bool(title="🆘 Take Profit & Stop Loss By Percent (%)", defval=true, group=GR4, tooltip = "Take Profit & Stop Loss by % Change\n0 = Disable")
tp_l = tpsl(input.float(0, title='🆘 TP [LONG] % >> [Oneway Only]', group=GR4, tooltip = "0 = Disable"))
tp_s = tpsl(input.float(0, title='🆘 TP [SHORT] % >> [Oneway Only]', group=GR4, tooltip = "0 = Disable"))
sl = tpsl(input.float(0, title='🆘 Stop Loss %', group=GR4, tooltip = "0 = Disable"))
tp_pnl = input.float(defval = 1, title = "🆘 TP by PNL $ eg. (0.1 = 0.1$)", group = GR4)
spread_size = input.float(defval = 0.350, title = "🆘 Spread Point Size(Eg. 35 Point or 350 Point From Your Broker Digits)", tooltip = "Spread Point Form Your Broker \nEg. 1920.124 - 1920.135 or 1920.12 - 1920.13\nPlease Check From Your Broker", group = GR4)

GR5 = "===💮💮💮 Hedge Mode 💮💮💮==="
//hedge_mode = input.bool(defval = true, title = "⚖️ Hedge Mode", group = GR5)
hedge_point = input.int(defval = 500, title = "💯 Hedge Point Range", group = GR5, tooltip = "After Entry Last Position And Current Price More Than Point Range Are Open New Hedge Position")
hedge_gale = input.float(defval = 2.0, title = "✳️ Martingale For Hedge Multiply [default = 2]", tooltip = "Martingale For Multiply Hedge Order", group = GR5)
hedge_point_size = hedge_point/100

calcStopLossPrice(OffsetPts) =>
    if strategy.position_size > 0
        strategy.position_avg_price - OffsetPts * syminfo.mintick
    else if strategy.position_size < 0
        strategy.position_avg_price + OffsetPts * syminfo.mintick
    else
        na

calcStopLossL_AlertPrice(OffsetPts) =>
    strategy.position_avg_price - OffsetPts * syminfo.mintick
calcStopLossS_AlertPrice(OffsetPts) =>
    strategy.position_avg_price + OffsetPts * syminfo.mintick

calcTakeProfitPrice(OffsetPts) =>
    if strategy.position_size > 0
        strategy.position_avg_price + OffsetPts * syminfo.mintick
    else if strategy.position_size < 0
        strategy.position_avg_price - OffsetPts * syminfo.mintick
    else
        na

calcTakeProfitL_AlertPrice(OffsetPts) =>
    strategy.position_avg_price + OffsetPts * syminfo.mintick
calcTakeProfitS_AlertPrice(OffsetPts) =>
    strategy.position_avg_price - OffsetPts * syminfo.mintick

var stoploss = 0.
var stoploss_l = 0.
var stoploss_s = 0.
var takeprofit = 0.
var takeprofit_l = 0.
var takeprofit_s = 0.
var takeprofit_ll = 0.
var takeprofit_ss = 0.

if mode == true
    if (strategy.position_size > 0)
        if sl > 0
            stoploss := calcStopLossPrice(sl)
            stoploss_l := stoploss
        else if sl <= 0
            stoploss := na
        if tp_l > 0
            takeprofit := tp_l
            takeprofit_ll := close + ((close/100)*tp_l)
            //takeprofit_s := na
        else if tp_l <= 0
            takeprofit := na
    if (strategy.position_size < 0)
        if sl > 0
            stoploss := calcStopLossPrice(sl)
            stoploss_s := stoploss
        else if sl <= 0
            stoploss := na
        if tp_s > 0
            takeprofit := tp_s
            takeprofit_ss := close - ((close/100)*tp_s)
            //takeprofit_l := na
        else if tp_s <= 0
            takeprofit := na
    else if strategy.position_size == 0
        stoploss := na
        takeprofit := na
        //takeprofit_l := calcTakeProfitL_AlertPrice(tp_l)
        //takeprofit_s := calcTakeProfitS_AlertPrice(tp_s)
        //stoploss_l := calcStopLossL_AlertPrice(sl)
        //stoploss_s := calcStopLossS_AlertPrice(sl)

//////////// INPUT BACKTEST RANGE ////////////////////////////////////////////////////
var string BTR1         = '════════⌚⌚ INPUT BACKTEST TIME RANGE ⌚⌚════════'
i_startTime             = input(defval = timestamp("01 Jan 1945 00:00 +0000"), title = "Start", inline="timestart", group=BTR1, tooltip = 'Start Backtest YYYY/MM/DD')
i_endTime               = input(defval = timestamp("01 Jan 2074 23:59 +0000"), title = "End", inline="timeend", group=BTR1, tooltip = 'End Backtest YYYY/MM/DD')
//////////////// Strategy Alert For X4815162342 BOT //////////////////////
Text_Alert_Future = '{{strategy.order.alert_message}}'
copy_Fu = input( defval= Text_Alert_Future ,    title="Alert Message for BOT", inline = '00'  ,group = '═ Bot Setting ═ \n >> If You Dont Use Bot Just Pass It' ,tooltip = 'Alert For X48-BOT > Copy and Paste To Alert Function')
TimeFrame_input = input(defval= 'Input Your TimeFrame [1m, 15m, 1h, 4h, 1d ,1w]' ,    title="TimeFrame Text Alert", inline = '00'  ,group = '═ Bot Setting ═ \n >> If You Dont Use Bot Just Pass It')
string Alert_EntryL = '🪙 Asset : {{ticker}} \n💱 Status : {{strategy.market_position}}\n🕛 TimeFrame : '+str.tostring(TimeFrame_input)+'\n💸 Price : {{strategy.order.price}} $\n✅ TP : '+str.tostring(takeprofit_ll)+' $\n❌ SL : '+str.tostring(stoploss_l)+' $\n⏰ Time : {{timenow}}'
string Alert_EntryS = '🪙 Asset : {{ticker}} \n💱 Status : {{strategy.market_position}}\n🕛 TimeFrame : '+str.tostring(TimeFrame_input)+'\n💸 Price : {{strategy.order.price}} $\n✅ TP : '+str.tostring(takeprofit_ss)+' $\n❌ SL : '+str.tostring(stoploss_s)+' $\n⏰ Time : {{timenow}}'
string Alert_TPSL = '🪙 Asset : {{ticker}}\n🕛 TimeFrame : '+str.tostring(TimeFrame_input)+'\n💹 {{strategy.order.comment}}\n💸 Price : {{strategy.order.price}} $\n⏰ Time : {{timenow}}'

if true
    if longcondition
        strategy.entry("Long", strategy.long, comment = "🌙", alert_message = Alert_EntryL)
    //if longcondition_double
    //    //strategy.cancel_all()
    //    strategy.entry("Long2", strategy.long, comment = "🌙🌙")
    //    //strategy.exit("Exit",'Long', qty_percent = 100 , profit = takeprofit, stop = stoploss, comment_profit = "TP💚L", comment_loss = "SL💚L")
    if shortcondition
        strategy.entry("Short", strategy.short, comment = "👻", alert_message = Alert_EntryS)
        //strategy.exit("Exit",'Short', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP❤️️S", comment_loss = "SL❤️️S")
    //if shortcondition_double
    //    //strategy.cancel_all()
    //    strategy.entry("Short2", strategy.short, comment = "👻👻")

if strategy.position_size > 0 and strategy.opentrades >= 1 and hedge_mode == true
    entrypricel = strategy.opentrades.entry_price(strategy.opentrades - 1)
    callpointsize =  entrypricel - close
    lastsize = strategy.position_size
    if callpointsize >= hedge_point_size and longcondition
        strategy.order("Long2", strategy.long, qty = lastsize * hedge_gale, comment = "🌙⌛", alert_message = Alert_EntryL)

else if strategy.position_size < 0 and strategy.opentrades >= 1 and hedge_mode == true
    entryprices = strategy.opentrades.entry_price(strategy.opentrades - 1)
    callpointsize = (entryprices - close)* -1
    lastsize = (strategy.position_size) * -1
    if callpointsize >= hedge_point_size and shortcondition
        strategy.order("Short2", strategy.short, qty = lastsize * hedge_gale, comment = "👻⌛", alert_message = Alert_EntryS)

last_price_l = (strategy.opentrades.entry_price(strategy.opentrades - 1) + (strategy.opentrades.entry_price(strategy.opentrades - 1)/100) * takeprofit) + spread_size
last_price_s = (strategy.opentrades.entry_price(strategy.opentrades - 1) - (strategy.opentrades.entry_price(strategy.opentrades - 1)/100) * takeprofit) - spread_size 
current_price = request.security(syminfo.tickerid, "1", close)
current_pricel = request.security(syminfo.tickerid, "1", close) + spread_size
current_prices = request.security(syminfo.tickerid, "1", close) - spread_size
//if mode == true
if strategy.position_size > 0 and strategy.openprofit >= tp_pnl and mode == true and hedge_mode == true
    lastsize = strategy.position_size
    lastprofitorder = strategy.openprofit
    //if lastprofitorder >= 0.07
    //strategy.close('Long', qty = lastsize, comment = "TP💚L", alert_message = Alert_TPSL, immediately = true)
    strategy.cancel_all()
    strategy.close_all(comment = "TP💚PNL", alert_message = Alert_TPSL, immediately = true)
    //strategy.close_all(comment = "TP💚LH", alert_message = Alert_TPSL)
    //strategy.exit("Exit",'Long2', qty_percent = 100, profit = last_price_l, stop = stoploss, comment_profit = "TP💚LH", comment_loss = "SL💚LH", alert_message = Alert_TPSL)
    //strategy.exit("Exit",'Long', qty_percent = 100, profit = last_price_l, stop = stoploss, comment_profit = "TP💚L", comment_loss = "SL💚L", alert_message = Alert_TPSL)
else if strategy.position_size > 0 and strategy.openprofit < tp_pnl and mode == true and hedge_mode == true
    strategy.exit("Exit",'Long', qty_percent = 100, stop = stoploss, comment_loss = "SL💚%L", alert_message = Alert_TPSL)

if strategy.position_size > 0 and mode == true and hedge_mode == false
    //strategy.close_all(comment = "TP💚LH", alert_message = Alert_TPSL, immediately = true)
    strategy.exit("Exit",'Long', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP💚%L", comment_loss = "SL💚%L", alert_message = Alert_TPSL)
    //strategy.exit("Exit",'Long', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP💚LL", comment_loss = "SL💚L", alert_message = Alert_TPSL)

//else if strategy.position_size > 0 and strategy.opentrades > 1
//    lastsize = strategy.position_size
//    lastprofitorder = strategy.openprofit
//    if lastprofitorder >= 0.07
//        strategy.close_all(comment = "TP💚LL", alert_message = Alert_TPSL)
if strategy.position_size < 0 and strategy.openprofit >= tp_pnl and mode == true and hedge_mode == true
    lastsize = (strategy.position_size) * -1
    lastprofitorder = strategy.openprofit
    //if lastprofitorder >= 0.07
    //strategy.close('Short', qty = lastsize, comment = "TP❤️️S", alert_message = Alert_TPSL, immediately = true)
    strategy.cancel_all()
    strategy.close_all(comment = "TP❤️️PNL", alert_message = Alert_TPSL, immediately = true)
    //strategy.close_all(comment = "TP❤️️SH", alert_message = Alert_TPSL)
    //strategy.exit("Exit",'Short2', qty_percent = 100, profit = last_price_s, stop = stoploss, comment_profit = "TP❤️️SH", comment_loss = "SL❤️️SH", alert_message = Alert_TPSL)
    //strategy.exit("Exit",'Short', qty_percent = 100, profit = last_price_s, stop = stoploss, comment_profit = "TP❤️️S", comment_loss = "SL❤️️S", alert_message = Alert_TPSL)
else if strategy.position_size < 0 and strategy.openprofit < tp_pnl and mode == true and hedge_mode == true
    strategy.exit("Exit",'Short', qty_percent = 100, stop = stoploss, comment_loss = "SL❤️️%S", alert_message = Alert_TPSL)
if strategy.position_size < 0 and mode == true and hedge_mode == false
    //strategy.close_all(comment = "TP❤️️SH", alert_message = Alert_TPSL, immediately = true)
    strategy.exit("Exit",'Short', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP❤️️%S", comment_loss = "SL❤️️%S", alert_message = Alert_TPSL)
    //strategy.exit("Exit",'Short', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP❤️️S", comment_loss = "SL❤️️S", alert_message = Alert_TPSL)

//else if strategy.position_size < 0 and strategy.opentrades > 1
//    lastsize = (strategy.position_size) * -1
//    lastprofitorder = strategy.openprofit
//    if lastprofitorder >= 0.07
//        strategy.close_all(comment = "TP❤️️SS", alert_message = Alert_TPSL)

//===================== เรียกใช้  library =========================
import X4815162342/X48_LibaryStrategyStatus/2 as fuLi 
//แสดงผล Backtest

show_Net = input.bool(true,'Monitor Profit&Loss', inline = 'Lnet', group = '= PNL MONITOR SETTING =')
position_ = input.string('bottom_center','Position', options = ['top_right','middle_right','bottom_right','top_center','middle_center','bottom_center','middle_left','bottom_left'] , inline = 'Lnet')
size_i = input.string('auto','size', options = ['auto','tiny','small','normal'] , inline = 'Lnet') 
color_Net = input.color(color.blue,"" , inline = 'Lnet')
// fuLi.NetProfit_Show(show_Net , position_ , size_i,  color_Net )


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