Strategi kuantitatif pembukaan dua arah berdasarkan keuntungan stop loss acak


Tanggal Pembuatan: 2024-01-08 16:07:02 Akhirnya memodifikasi: 2024-01-08 16:07:02
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Strategi kuantitatif pembukaan dua arah berdasarkan keuntungan stop loss acak

Ringkasan

Strategi ini diberi nama DayLight Hunter Binary Options Random Stop Loss Profit Quantitative Strategy. Gagasan utama dari strategi ini adalah menggunakan indikator Stochastic untuk menghasilkan sinyal beli dan jual, digabungkan dengan rata-rata SMA untuk memfilter, mencapai posisi terbuka bidirectional, dan mengatur stop loss stop loss acak, mencapai keuntungan.

Prinsip Strategi

Strategi ini menggunakan garis% K dan garis% D yang bersilang dengan indikator Stochastic 5-day line untuk menghasilkan sinyal perdagangan. Ketika garis% K melintasi garis% D dari bawah ke atas, menghasilkan sinyal beli; Ketika garis% K melintasi garis% D dari atas ke bawah, menghasilkan sinyal jual. Untuk menyaring sinyal palsu, strategi ini juga memperkenalkan garis rata-rata SMA dengan panjang 50, yang hanya menghasilkan sinyal beli ketika harga close out di bawah titik rendah SMA, dan menghasilkan sinyal jual ketika harga close out di atas titik tinggi SMA.

Ketika menerima sinyal beli, strategi akan membuka lebih banyak posisi dengan jumlah tetap; Ketika menerima sinyal jual, jika mode perdagangan satu sisi, akan membuka lebih banyak opsi dan membuka opsi kosong sebelum posisi; Jika mode perlindungan, maka langsung menambahkan opsi kosong untuk melakukan perlindungan. Untuk setiap unit perdagangan, strategi akan mengatur titik stop loss acak. Secara khusus, berdasarkan persentase tertentu dari keuntungan sebagai titik stop loss, persentase tertentu dari kerugian sebagai titik stop loss.

Keunggulan Strategis

Keuntungan terbesar dari strategi ini adalah bahwa menggunakan sinyal indikator Stochastic dengan gelombang SMA untuk mencapai perdagangan dua arah dengan tingkat kesalahan yang lebih rendah. Ini memberikan peluang yang lebih besar untuk keuntungan. Selain itu, mekanisme stop loss acak dari strategi ini dapat dihentikan tepat waktu setelah keuntungan, untuk menghindari keuntungan sepenuhnya menjadi nol; juga dapat berhenti kehilangan, mengurangi kerugian ketika terjadi kerugian besar.

Analisis risiko

Risiko utama dari strategi ini adalah bahwa indikator Stokastik dapat menghasilkan sinyal palsu, yang dapat menyebabkan kerugian yang tidak perlu. Selain itu, titik stop loss yang disetel secara acak dapat menjadi terlalu radikal, menyebabkan stop loss terlalu dini atau terlalu terlambat, yang dapat mempengaruhi keuntungan. Akhirnya, tidak dapat berhenti pada waktu yang tepat dalam perdagangan yang dijaga juga dapat menyebabkan kerugian yang lebih besar.

Untuk mengurangi risiko, disarankan untuk mengoptimalkan parameter rata-rata SMA, memfilter lebih banyak sinyal palsu. Selain itu, dapat dipertimbangkan untuk menilai tren pasar dalam kombinasi dengan indikator lain, menghindari perdagangan berlawanan.

Arah optimasi

Strategi ini dapat dioptimalkan dalam beberapa hal:

  1. Mengoptimalkan parameter Stochastic indicator, mencari kombinasi parameter yang optimal untuk mengurangi sinyal palsu.

  2. Optimalkan atau tambahkan indikator teknis lainnya, membantu Stochastic indikator menilai tren. Misalnya MACD, KD dll.

  3. Menggunakan metode pembelajaran mesin dan lain-lain untuk mempelajari parameter-parameter yang berbeda untuk mencari ruang parameter yang optimal.

  4. Mengoptimalkan algoritma stop loss acak, membuatnya lebih cerdas dan dinamis. Misalnya, menggabungkan stop loss mobile, manajemen saldo dan lain-lain.

  5. Tambahkan modul pengendalian posisi, yang memungkinkan untuk menyesuaikan posisi secara dinamis berdasarkan kinerja strategi, lingkungan pasar, dan faktor-faktor lainnya.

Meringkaskan

DayLight Hunter menggunakan strategi stochastic indicator cross-signal, SMA waves, dua arah untuk membuka posisi dan stop loss secara acak. Ini memiliki keunggulan seperti sinyal yang relatif akurat, banyak peluang perdagangan dua arah, stop loss yang fleksibel, dan risiko yang dapat dikendalikan. Dengan lebih mengoptimalkan parameter pengaturan, indikator dan modul kontrol risiko, strategi ini dapat memperoleh kinerja yang lebih stabil dan lebih baik.

Kode Sumber Strategi
/*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 )