
Strategi ini dinamakan DayLight Hunter. Strategi ini menggunakan indikator Stochastic untuk menghasilkan isyarat membeli dan menjual, disaring dengan garis rata SMA, untuk membuka posisi dua hala, dan menetapkan titik berhenti kehilangan secara rawak, untuk mendapatkan keuntungan.
Strategi ini menggunakan garis% K dan garis% D yang bersilang dengan garis Stochastic 5 hari untuk menghasilkan isyarat perdagangan. Apabila garis% K melintasi garis% D dari bawah ke atas, ia menghasilkan isyarat beli; Apabila garis% K melintasi garis% D dari atas ke bawah, ia menghasilkan isyarat jual.
Apabila menerima isyarat membeli, strategi akan membuka lebih banyak dengan jumlah tetap; Apabila menerima isyarat menjual, jika mod dagangan satu sisi, ia akan melonggarkan banyak sekali dan membuka surat kosong sebelum; Jika mod perlindungan, ia akan menambahkan surat kosong secara langsung. Untuk setiap unit perdagangan, strategi akan menetapkan titik berhenti rugi secara rawak.
Kelebihan terbesar strategi ini adalah menggunakan isyarat indikator Stochastic dan gelombang SMA untuk mencapai perdagangan dua hala dengan kadar kesalahan yang lebih rendah. Ini memberikan peluang yang lebih besar untuk keuntungan. Di samping itu, mekanisme stop loss strategi secara rawak dapat dihentikan tepat pada masanya setelah keuntungan, untuk mengelakkan keuntungan sepenuhnya menjadi sifar; juga boleh berhenti kehilangan, mengurangkan kerugian apabila terdapat kerugian yang lebih besar.
Risiko utama strategi ini adalah bahawa indikator Stochastic mungkin menghasilkan isyarat palsu, yang boleh menyebabkan kerugian yang tidak perlu. Di samping itu, titik berhenti dan kehilangan yang ditetapkan secara rawak mungkin terlalu radikal, menyebabkan berhenti dan berhenti terlalu awal atau terlambat, yang akan menjejaskan keuntungan.
Untuk mengurangkan risiko, disarankan untuk mengoptimumkan parameter rata-rata SMA, menyaring lebih banyak isyarat palsu. Selain itu, anda boleh mempertimbangkan untuk menilai trend pasaran dalam kombinasi dengan petunjuk lain, untuk mengelakkan perdagangan berlawanan. Akhirnya, anda perlu menetapkan julat hentian yang munasabah, dan menetapkan titik hentian yang bebas untuk unit perlindungan, untuk mengawal risiko.
Strategi ini boleh dioptimumkan dalam beberapa aspek:
Mengoptimumkan parameter Stochastic untuk mencari kombinasi parameter terbaik untuk mengurangkan isyarat palsu.
Mengoptimumkan atau menambah petunjuk teknikal lain, membantu Stochastic indikator menilai trend. Contohnya MACD, KD dan sebagainya.
Menggunakan kaedah pembelajaran mesin dan lain-lain untuk mengkaji parameter seperti kadar kebenaran dan kemenangan isyarat Stochastic dengan parameter yang berbeza untuk mencari ruang parameter yang optimum.
Mengoptimumkan algoritma hentian hentian secara rawak, menjadikannya lebih pintar dan dinamik. Contohnya, menggabungkan hentian bergerak, pengurusan baki dan lain-lain.
Tambah modul kawalan kedudukan yang membolehkan anda menyesuaikan kedudukan secara dinamik berdasarkan prestasi strategi, keadaan pasaran dan lain-lain.
DayLight Hunter strategi kuantitatif untuk membuka posisi secara rawak, menghentikan kerugian dan keuntungan secara komprehensif menggunakan penunjuk Stochastic, asas gelombang SMA, pemikiran pembukaan posisi dua arah dan kaedah berhenti rugi secara rawak. Ia mempunyai kelebihan seperti isyarat yang agak tepat, banyak peluang perdagangan dua arah, dan kelenturan berhenti rugi, dan risikonya juga dalam jangkauan yang terkawal. Dengan lebih mengoptimumkan penetapan parameter, kombinasi indikator dan modul kawalan risiko, strategi ini dapat memperoleh prestasi yang lebih stabil dan cemerlang. Ia memberikan contoh yang sangat berharga untuk amalan perdagangan kuantitatif.
/*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 )