https://www.tradingview.com/x/VOzPCqIh/Alıntı:
Originally Posted by @yörük@
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https://www.tradingview.com/x/VOzPCqIh/Alıntı:
Originally Posted by @yörük@
https://www.tradingview.com/x/fJpJ4tjW/
2.sar değeri....saatlik için....kısada....stop olarak düşünülebilir....
https://www.tradingview.com/x/WD4HVSR4/ saatlikteki trend 3 değeri.....bilinen macd değeridir.....
https://www.tradingview.com/x/mE2C5VA6/ bu değer...günlükte ise......trend 1 değerine....yakındır ki.....
trend 1 değeri....3-3-1 hesaplanan....hızlı macd değeridir......
düzeltmeler....hesaba katılsa dahi..... günlükte hedef......pembe sar değeri... yarın için 9904 civarında olacaktır...
https://www.tradingview.com/x/XMd1D3C8/ haftalık ise....hızlı macd...yavaşı kesmek üzereki.....
15 mayıs perşembe...x100....9900 üzeri kapanış yaparak....günlükteki....pembe..3. döngü sarda...onay verme ihtimali olur....
https://tr.tradingview.com/script/OO...ds-ChartPrime/
görüntü....
https://www.tradingview.com/x/MxoX4HzB/
https://www.tradingview.com/x/u7w54Rqz/
hesaplamada 15 olan değer 5 olarak kullanılmıştır...
https://tr.tradingview.com/script/5t...00-Osbrah-CRG/
50-100-200 ema ve
200 emanın h4-h1 ve 15 dakkalık mtf si....
kesişim alarm sinyalli.....basit ve sade....
görüntüler...
https://www.tradingview.com/x/0Kqp6awt/
https://www.tradingview.com/x/eM7B9Uld/
https://www.tradingview.com/x/0Qu3LfQM/
https://www.tradingview.com/x/2nQNyodL/
200 ema mtf görmek...https://www.tradingview.com/x/HknqECOW/
https://tr.tradingview.com/script/ZW...-by-Chaitu50c/
https://tr.tradingview.com/script/WL...st-SMA-Finder/
ve 2206 mesajdaki triple 200 mtf ile beraber kombine edilecek....
kodu...eklenecek....( sma trend olarak, gapcluster kanal,destek direnç, triple mtf ise sinyal üretme olarak tasarlanacak)
x100....15likten haftalığa....
https://www.tradingview.com/x/l74VZlct/
https://www.tradingview.com/x/A2Ru5IWs/
https://www.tradingview.com/x/DhpfqMSY/
https://www.tradingview.com/x/ZadiPDZ4/
https://www.tradingview.com/x/qMh1WhBl/
https://www.tradingview.com/x/Z1HzuDsx/
https://www.tradingview.com/x/Sk6Ndfsb/
arkadaşlar , tradingview kullandığınız için sorumu bilebileceğinizi düşünerek yazıyorum. https://tr.tradingview.com/chart/esHW0Bw5/ grafiklerinin altında düne kadar borsa şirketlerinin kodları çıkıyor ve filtreleme ile takip yapabiliyordum,dünden itibaren hisse senetleri yerine kripto kodları çıkmaya başladı.Bunu tekrar hisse kodlarına çevirmenin bir yolunu biliyormusunuz acaba?
pc den google oturumunu aç.....grafiğin geri yüklenir....ayarlarıyla beraber....Alıntı:
Originally Posted by ozbek
gelen olmamış...onay olmamış....Alıntı:
Originally Posted by @yörük@
bugün...bunu kombine edelim...Alıntı:
Originally Posted by @yörük@
kodlama bilmeyenler kombine ederek.....birden fazla kodu....tek kod içinde kullanmak istiyorlarsa....
ilk yapmaları gereken....belirlediği kodlar içinde en fazla kod satırı olanı....kopyalayarak başlasınlar....
bu yüzden....https://tr.tradingview.com/v/WLSrG7cX/ sma bulucu kodu kopyalıp...başlayacağız....
gap cluster kodunu kopyalayıp,....sma içine yapıştırıp.....
gap culuster kodunun....indicator diye başlayan satırını siliyom.....
ve değerini 1 olarak ayarlıyorum....
https://www.tradingview.com/x/UOJKtL5R/
PHP Code:// @ Julien_Eche
//@version=6
indicator(title = 'Best SMA Finder', overlay = true, max_bars_back = 1100)
strategy_type = input.string(defval = 'Long Only', title = 'Strategy Type', options = ['Buy & Sell', 'Long Only'])
min_trades = input.int(defval = 100, title = 'Minimum Trades to Consider', minval = 1)
show_table = input.bool(true, title = 'Show Stats Table')
f_robustness(pf, trades, win_rate, min_trades) =>
trades >= min_trades and not na(pf) and pf >= 0 and not na(win_rate) ? pf * math.log(trades) * math.sqrt(win_rate) : -1e10
backtest(ma_len) =>
xMA = ta.sma(close, ma_len)
var float entry_price_long = na
var float entry_price_short = na
var int total_trades = 0
var int winning_trades = 0
var float total_profit = 0.0
var float total_loss = 0.0
long_condition = ta.crossover(close, xMA)
short_condition = ta.crossunder(close, xMA)
float trade_profit = na
if strategy_type == 'Buy & Sell'
if long_condition and na(entry_price_long) and na(entry_price_short)
entry_price_long := close
total_trades := total_trades + 1
total_trades
else
if short_condition and not na(entry_price_long)
trade_profit := close - entry_price_long
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
winning_trades
else
total_loss := total_loss - trade_profit
total_loss
entry_price_long := na
entry_price_short := close
total_trades := total_trades + 1
total_trades
else
if short_condition and na(entry_price_short) and na(entry_price_long)
entry_price_short := close
total_trades := total_trades + 1
total_trades
else
if long_condition and not na(entry_price_short)
trade_profit := entry_price_short - close
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
winning_trades
else
total_loss := total_loss - trade_profit
total_loss
entry_price_short := na
entry_price_long := close
total_trades := total_trades + 1
total_trades
else
if long_condition and na(entry_price_long)
entry_price_long := close
total_trades := total_trades + 1
total_trades
else if short_condition and not na(entry_price_long)
trade_profit := close - entry_price_long
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
winning_trades
else
total_loss := total_loss - trade_profit
total_loss
entry_price_long := na
entry_price_long
float profit_factor = total_loss > 0 ? total_profit / total_loss : total_profit > 0 ? 10000.0 : 0
float win_rate = total_trades > 0 ? winning_trades / total_trades : 0.0
float robustness = f_robustness(profit_factor, total_trades, win_rate, min_trades)
[total_trades, profit_factor, win_rate, robustness]
[tt10, pf10, wr10, r10] = backtest(10)
[tt20, pf20, wr20, r20] = backtest(20)
[tt30, pf30, wr30, r30] = backtest(30)
[tt40, pf40, wr40, r40] = backtest(40)
[tt50, pf50, wr50, r50] = backtest(50)
[tt60, pf60, wr60, r60] = backtest(60)
[tt70, pf70, wr70, r70] = backtest(70)
[tt80, pf80, wr80, r80] = backtest(80)
[tt90, pf90, wr90, r90] = backtest(90)
[tt100, pf100, wr100, r100] = backtest(100)
[tt110, pf110, wr110, r110] = backtest(110)
[tt120, pf120, wr120, r120] = backtest(120)
[tt130, pf130, wr130, r130] = backtest(130)
[tt140, pf140, wr140, r140] = backtest(140)
[tt150, pf150, wr150, r150] = backtest(150)
[tt160, pf160, wr160, r160] = backtest(160)
[tt170, pf170, wr170, r170] = backtest(170)
[tt180, pf180, wr180, r180] = backtest(180)
[tt190, pf190, wr190, r190] = backtest(190)
[tt200, pf200, wr200, r200] = backtest(200)
[tt210, pf210, wr210, r210] = backtest(210)
[tt220, pf220, wr220, r220] = backtest(220)
[tt230, pf230, wr230, r230] = backtest(230)
[tt240, pf240, wr240, r240] = backtest(240)
[tt250, pf250, wr250, r250] = backtest(250)
[tt260, pf260, wr260, r260] = backtest(260)
[tt270, pf270, wr270, r270] = backtest(270)
[tt280, pf280, wr280, r280] = backtest(280)
[tt290, pf290, wr290, r290] = backtest(290)
[tt300, pf300, wr300, r300] = backtest(300)
[tt310, pf310, wr310, r310] = backtest(310)
[tt320, pf320, wr320, r320] = backtest(320)
[tt330, pf330, wr330, r330] = backtest(330)
[tt340, pf340, wr340, r340] = backtest(340)
[tt350, pf350, wr350, r350] = backtest(350)
[tt360, pf360, wr360, r360] = backtest(360)
[tt370, pf370, wr370, r370] = backtest(370)
[tt380, pf380, wr380, r380] = backtest(380)
[tt390, pf390, wr390, r390] = backtest(390)
[tt400, pf400, wr400, r400] = backtest(400)
[tt410, pf410, wr410, r410] = backtest(410)
[tt420, pf420, wr420, r420] = backtest(420)
[tt430, pf430, wr430, r430] = backtest(430)
[tt440, pf440, wr440, r440] = backtest(440)
[tt450, pf450, wr450, r450] = backtest(450)
[tt460, pf460, wr460, r460] = backtest(460)
[tt470, pf470, wr470, r470] = backtest(470)
[tt480, pf480, wr480, r480] = backtest(480)
[tt490, pf490, wr490, r490] = backtest(490)
[tt500, pf500, wr500, r500] = backtest(500)
[tt510, pf510, wr510, r510] = backtest(510)
[tt520, pf520, wr520, r520] = backtest(520)
[tt530, pf530, wr530, r530] = backtest(530)
[tt540, pf540, wr540, r540] = backtest(540)
[tt550, pf550, wr550, r550] = backtest(550)
[tt560, pf560, wr560, r560] = backtest(560)
[tt570, pf570, wr570, r570] = backtest(570)
[tt580, pf580, wr580, r580] = backtest(580)
[tt590, pf590, wr590, r590] = backtest(590)
[tt600, pf600, wr600, r600] = backtest(600)
[tt610, pf610, wr610, r610] = backtest(610)
[tt620, pf620, wr620, r620] = backtest(620)
[tt630, pf630, wr630, r630] = backtest(630)
[tt640, pf640, wr640, r640] = backtest(640)
[tt650, pf650, wr650, r650] = backtest(650)
[tt660, pf660, wr660, r660] = backtest(660)
[tt670, pf670, wr670, r670] = backtest(670)
[tt680, pf680, wr680, r680] = backtest(680)
[tt690, pf690, wr690, r690] = backtest(690)
[tt700, pf700, wr700, r700] = backtest(700)
[tt710, pf710, wr710, r710] = backtest(710)
[tt720, pf720, wr720, r720] = backtest(720)
[tt730, pf730, wr730, r730] = backtest(730)
[tt740, pf740, wr740, r740] = backtest(740)
[tt750, pf750, wr750, r750] = backtest(750)
[tt760, pf760, wr760, r760] = backtest(760)
[tt770, pf770, wr770, r770] = backtest(770)
[tt780, pf780, wr780, r780] = backtest(780)
[tt790, pf790, wr790, r790] = backtest(790)
[tt800, pf800, wr800, r800] = backtest(800)
[tt810, pf810, wr810, r810] = backtest(810)
[tt820, pf820, wr820, r820] = backtest(820)
[tt830, pf830, wr830, r830] = backtest(830)
[tt840, pf840, wr840, r840] = backtest(840)
[tt850, pf850, wr850, r850] = backtest(850)
[tt860, pf860, wr860, r860] = backtest(860)
[tt870, pf870, wr870, r870] = backtest(870)
[tt880, pf880, wr880, r880] = backtest(880)
[tt890, pf890, wr890, r890] = backtest(890)
[tt900, pf900, wr900, r900] = backtest(900)
[tt910, pf910, wr910, r910] = backtest(910)
[tt920, pf920, wr920, r920] = backtest(920)
[tt930, pf930, wr930, r930] = backtest(930)
[tt940, pf940, wr940, r940] = backtest(940)
[tt950, pf950, wr950, r950] = backtest(950)
[tt960, pf960, wr960, r960] = backtest(960)
[tt970, pf970, wr970, r970] = backtest(970)
[tt980, pf980, wr980, r980] = backtest(980)
[tt990, pf990, wr990, r990] = backtest(990)
[tt1000, pf1000, wr1000, r1000] = backtest(1000)
var float best_score = -1e10
var int best_len = na
var int best_trades = na
var float best_pf = na
var float best_wr = na
if not na(r10) and r10 > best_score
best_score := r10
best_len := 10
best_trades := tt10
best_pf := pf10
best_wr := wr10
best_wr
if not na(r20) and r20 > best_score
best_score := r20
best_len := 20
best_trades := tt20
best_pf := pf20
best_wr := wr20
best_wr
if not na(r30) and r30 > best_score
best_score := r30
best_len := 30
best_trades := tt30
best_pf := pf30
best_wr := wr30
best_wr
if not na(r40) and r40 > best_score
best_score := r40
best_len := 40
best_trades := tt40
best_pf := pf40
best_wr := wr40
best_wr
if not na(r50) and r50 > best_score
best_score := r50
best_len := 50
best_trades := tt50
best_pf := pf50
best_wr := wr50
best_wr
if not na(r60) and r60 > best_score
best_score := r60
best_len := 60
best_trades := tt60
best_pf := pf60
best_wr := wr60
best_wr
if not na(r70) and r70 > best_score
best_score := r70
best_len := 70
best_trades := tt70
best_pf := pf70
best_wr := wr70
best_wr
if not na(r80) and r80 > best_score
best_score := r80
best_len := 80
best_trades := tt80
best_pf := pf80
best_wr := wr80
best_wr
if not na(r90) and r90 > best_score
best_score := r90
best_len := 90
best_trades := tt90
best_pf := pf90
best_wr := wr90
best_wr
if not na(r100) and r100 > best_score
best_score := r100
best_len := 100
best_trades := tt100
best_pf := pf100
best_wr := wr100
best_wr
if not na(r110) and r110 > best_score
best_score := r110
best_len := 110
best_trades := tt110
best_pf := pf110
best_wr := wr110
best_wr
if not na(r120) and r120 > best_score
best_score := r120
best_len := 120
best_trades := tt120
best_pf := pf120
best_wr := wr120
best_wr
if not na(r130) and r130 > best_score
best_score := r130
best_len := 130
best_trades := tt130
best_pf := pf130
best_wr := wr130
best_wr
if not na(r140) and r140 > best_score
best_score := r140
best_len := 140
best_trades := tt140
best_pf := pf140
best_wr := wr140
best_wr
if not na(r150) and r150 > best_score
best_score := r150
best_len := 150
best_trades := tt150
best_pf := pf150
best_wr := wr150
best_wr
if not na(r160) and r160 > best_score
best_score := r160
best_len := 160
best_trades := tt160
best_pf := pf160
best_wr := wr160
best_wr
if not na(r170) and r170 > best_score
best_score := r170
best_len := 170
best_trades := tt170
best_pf := pf170
best_wr := wr170
best_wr
if not na(r180) and r180 > best_score
best_score := r180
best_len := 180
best_trades := tt180
best_pf := pf180
best_wr := wr180
best_wr
if not na(r190) and r190 > best_score
best_score := r190
best_len := 190
best_trades := tt190
best_pf := pf190
best_wr := wr190
best_wr
if not na(r200) and r200 > best_score
best_score := r200
best_len := 200
best_trades := tt200
best_pf := pf200
best_wr := wr200
best_wr
if not na(r210) and r210 > best_score
best_score := r210
best_len := 210
best_trades := tt210
best_pf := pf210
best_wr := wr210
best_wr
if not na(r220) and r220 > best_score
best_score := r220
best_len := 220
best_trades := tt220
best_pf := pf220
best_wr := wr220
best_wr
if not na(r230) and r230 > best_score
best_score := r230
best_len := 230
best_trades := tt230
best_pf := pf230
best_wr := wr230
best_wr
if not na(r240) and r240 > best_score
best_score := r240
best_len := 240
best_trades := tt240
best_pf := pf240
best_wr := wr240
best_wr
if not na(r250) and r250 > best_score
best_score := r250
best_len := 250
best_trades := tt250
best_pf := pf250
best_wr := wr250
best_wr
if not na(r260) and r260 > best_score
best_score := r260
best_len := 260
best_trades := tt260
best_pf := pf260
best_wr := wr260
best_wr
if not na(r270) and r270 > best_score
best_score := r270
best_len := 270
best_trades := tt270
best_pf := pf270
best_wr := wr270
best_wr
if not na(r280) and r280 > best_score
best_score := r280
best_len := 280
best_trades := tt280
best_pf := pf280
best_wr := wr280
best_wr
if not na(r290) and r290 > best_score
best_score := r290
best_len := 290
best_trades := tt290
best_pf := pf290
best_wr := wr290
best_wr
if not na(r300) and r300 > best_score
best_score := r300
best_len := 300
best_trades := tt300
best_pf := pf300
best_wr := wr300
best_wr
if not na(r310) and r310 > best_score
best_score := r310
best_len := 310
best_trades := tt310
best_pf := pf310
best_wr := wr310
best_wr
if not na(r320) and r320 > best_score
best_score := r320
best_len := 320
best_trades := tt320
best_pf := pf320
best_wr := wr320
best_wr
if not na(r330) and r330 > best_score
best_score := r330
best_len := 330
best_trades := tt330
best_pf := pf330
best_wr := wr330
best_wr
if not na(r340) and r340 > best_score
best_score := r340
best_len := 340
best_trades := tt340
best_pf := pf340
best_wr := wr340
best_wr
if not na(r350) and r350 > best_score
best_score := r350
best_len := 350
best_trades := tt350
best_pf := pf350
best_wr := wr350
best_wr
if not na(r360) and r360 > best_score
best_score := r360
best_len := 360
best_trades := tt360
best_pf := pf360
best_wr := wr360
best_wr
if not na(r370) and r370 > best_score
best_score := r370
best_len := 370
best_trades := tt370
best_pf := pf370
best_wr := wr370
best_wr
if not na(r380) and r380 > best_score
best_score := r380
best_len := 380
best_trades := tt380
best_pf := pf380
best_wr := wr380
best_wr
if not na(r390) and r390 > best_score
best_score := r390
best_len := 390
best_trades := tt390
best_pf := pf390
best_wr := wr390
best_wr
if not na(r400) and r400 > best_score
best_score := r400
best_len := 400
best_trades := tt400
best_pf := pf400
best_wr := wr400
best_wr
if not na(r410) and r410 > best_score
best_score := r410
best_len := 410
best_trades := tt410
best_pf := pf410
best_wr := wr410
best_wr
if not na(r420) and r420 > best_score
best_score := r420
best_len := 420
best_trades := tt420
best_pf := pf420
best_wr := wr420
best_wr
if not na(r430) and r430 > best_score
best_score := r430
best_len := 430
best_trades := tt430
best_pf := pf430
best_wr := wr430
best_wr
if not na(r440) and r440 > best_score
best_score := r440
best_len := 440
best_trades := tt440
best_pf := pf440
best_wr := wr440
best_wr
if not na(r450) and r450 > best_score
best_score := r450
best_len := 450
best_trades := tt450
best_pf := pf450
best_wr := wr450
best_wr
if not na(r460) and r460 > best_score
best_score := r460
best_len := 460
best_trades := tt460
best_pf := pf460
best_wr := wr460
best_wr
if not na(r470) and r470 > best_score
best_score := r470
best_len := 470
best_trades := tt470
best_pf := pf470
best_wr := wr470
best_wr
if not na(r480) and r480 > best_score
best_score := r480
best_len := 480
best_trades := tt480
best_pf := pf480
best_wr := wr480
best_wr
if not na(r490) and r490 > best_score
best_score := r490
best_len := 490
best_trades := tt490
best_pf := pf490
best_wr := wr490
best_wr
if not na(r500) and r500 > best_score
best_score := r500
best_len := 500
best_trades := tt500
best_pf := pf500
best_wr := wr500
best_wr
if not na(r510) and r510 > best_score
best_score := r510
best_len := 510
best_trades := tt510
best_pf := pf510
best_wr := wr510
best_wr
if not na(r520) and r520 > best_score
best_score := r520
best_len := 520
best_trades := tt520
best_pf := pf520
best_wr := wr520
best_wr
if not na(r530) and r530 > best_score
best_score := r530
best_len := 530
best_trades := tt530
best_pf := pf530
best_wr := wr530
best_wr
if not na(r540) and r540 > best_score
best_score := r540
best_len := 540
best_trades := tt540
best_pf := pf540
best_wr := wr540
best_wr
if not na(r550) and r550 > best_score
best_score := r550
best_len := 550
best_trades := tt550
best_pf := pf550
best_wr := wr550
best_wr
if not na(r560) and r560 > best_score
best_score := r560
best_len := 560
best_trades := tt560
best_pf := pf560
best_wr := wr560
best_wr
if not na(r570) and r570 > best_score
best_score := r570
best_len := 570
best_trades := tt570
best_pf := pf570
best_wr := wr570
best_wr
if not na(r580) and r580 > best_score
best_score := r580
best_len := 580
best_trades := tt580
best_pf := pf580
best_wr := wr580
best_wr
if not na(r590) and r590 > best_score
best_score := r590
best_len := 590
best_trades := tt590
best_pf := pf590
best_wr := wr590
best_wr
if not na(r600) and r600 > best_score
best_score := r600
best_len := 600
best_trades := tt600
best_pf := pf600
best_wr := wr600
best_wr
if not na(r610) and r610 > best_score
best_score := r610
best_len := 610
best_trades := tt610
best_pf := pf610
best_wr := wr610
best_wr
if not na(r620) and r620 > best_score
best_score := r620
best_len := 620
best_trades := tt620
best_pf := pf620
best_wr := wr620
best_wr
if not na(r630) and r630 > best_score
best_score := r630
best_len := 630
best_trades := tt630
best_pf := pf630
best_wr := wr630
best_wr
if not na(r640) and r640 > best_score
best_score := r640
best_len := 640
best_trades := tt640
best_pf := pf640
best_wr := wr640
best_wr
if not na(r650) and r650 > best_score
best_score := r650
best_len := 650
best_trades := tt650
best_pf := pf650
best_wr := wr650
best_wr
if not na(r660) and r660 > best_score
best_score := r660
best_len := 660
best_trades := tt660
best_pf := pf660
best_wr := wr660
best_wr
if not na(r670) and r670 > best_score
best_score := r670
best_len := 670
best_trades := tt670
best_pf := pf670
best_wr := wr670
best_wr
if not na(r680) and r680 > best_score
best_score := r680
best_len := 680
best_trades := tt680
best_pf := pf680
best_wr := wr680
best_wr
if not na(r690) and r690 > best_score
best_score := r690
best_len := 690
best_trades := tt690
best_pf := pf690
best_wr := wr690
best_wr
if not na(r700) and r700 > best_score
best_score := r700
best_len := 700
best_trades := tt700
best_pf := pf700
best_wr := wr700
best_wr
if not na(r710) and r710 > best_score
best_score := r710
best_len := 710
best_trades := tt710
best_pf := pf710
best_wr := wr710
best_wr
if not na(r720) and r720 > best_score
best_score := r720
best_len := 720
best_trades := tt720
best_pf := pf720
best_wr := wr720
best_wr
if not na(r730) and r730 > best_score
best_score := r730
best_len := 730
best_trades := tt730
best_pf := pf730
best_wr := wr730
best_wr
if not na(r740) and r740 > best_score
best_score := r740
best_len := 740
best_trades := tt740
best_pf := pf740
best_wr := wr740
best_wr
if not na(r750) and r750 > best_score
best_score := r750
best_len := 750
best_trades := tt750
best_pf := pf750
best_wr := wr750
best_wr
if not na(r760) and r760 > best_score
best_score := r760
best_len := 760
best_trades := tt760
best_pf := pf760
best_wr := wr760
best_wr
if not na(r770) and r770 > best_score
best_score := r770
best_len := 770
best_trades := tt770
best_pf := pf770
best_wr := wr770
best_wr
if not na(r780) and r780 > best_score
best_score := r780
best_len := 780
best_trades := tt780
best_pf := pf780
best_wr := wr780
best_wr
if not na(r790) and r790 > best_score
best_score := r790
best_len := 790
best_trades := tt790
best_pf := pf790
best_wr := wr790
best_wr
if not na(r800) and r800 > best_score
best_score := r800
best_len := 800
best_trades := tt800
best_pf := pf800
best_wr := wr800
best_wr
if not na(r810) and r810 > best_score
best_score := r810
best_len := 810
best_trades := tt810
best_pf := pf810
best_wr := wr810
best_wr
if not na(r820) and r820 > best_score
best_score := r820
best_len := 820
best_trades := tt820
best_pf := pf820
best_wr := wr820
best_wr
if not na(r830) and r830 > best_score
best_score := r830
best_len := 830
best_trades := tt830
best_pf := pf830
best_wr := wr830
best_wr
if not na(r840) and r840 > best_score
best_score := r840
best_len := 840
best_trades := tt840
best_pf := pf840
best_wr := wr840
best_wr
if not na(r850) and r850 > best_score
best_score := r850
best_len := 850
best_trades := tt850
best_pf := pf850
best_wr := wr850
best_wr
if not na(r860) and r860 > best_score
best_score := r860
best_len := 860
best_trades := tt860
best_pf := pf860
best_wr := wr860
best_wr
if not na(r870) and r870 > best_score
best_score := r870
best_len := 870
best_trades := tt870
best_pf := pf870
best_wr := wr870
best_wr
if not na(r880) and r880 > best_score
best_score := r880
best_len := 880
best_trades := tt880
best_pf := pf880
best_wr := wr880
best_wr
if not na(r890) and r890 > best_score
best_score := r890
best_len := 890
best_trades := tt890
best_pf := pf890
best_wr := wr890
best_wr
if not na(r900) and r900 > best_score
best_score := r900
best_len := 900
best_trades := tt900
best_pf := pf900
best_wr := wr900
best_wr
if not na(r910) and r910 > best_score
best_score := r910
best_len := 910
best_trades := tt910
best_pf := pf910
best_wr := wr910
best_wr
if not na(r920) and r920 > best_score
best_score := r920
best_len := 920
best_trades := tt920
best_pf := pf920
best_wr := wr920
best_wr
if not na(r930) and r930 > best_score
best_score := r930
best_len := 930
best_trades := tt930
best_pf := pf930
best_wr := wr930
best_wr
if not na(r940) and r940 > best_score
best_score := r940
best_len := 940
best_trades := tt940
best_pf := pf940
best_wr := wr940
best_wr
if not na(r950) and r950 > best_score
best_score := r950
best_len := 950
best_trades := tt950
best_pf := pf950
best_wr := wr950
best_wr
if not na(r960) and r960 > best_score
best_score := r960
best_len := 960
best_trades := tt960
best_pf := pf960
best_wr := wr960
best_wr
if not na(r970) and r970 > best_score
best_score := r970
best_len := 970
best_trades := tt970
best_pf := pf970
best_wr := wr970
best_wr
if not na(r980) and r980 > best_score
best_score := r980
best_len := 980
best_trades := tt980
best_pf := pf980
best_wr := wr980
best_wr
if not na(r990) and r990 > best_score
best_score := r990
best_len := 990
best_trades := tt990
best_pf := pf990
best_wr := wr990
best_wr
if not na(r1000) and r1000 > best_score
best_score := r1000
best_len := 1000
best_trades := tt1000
best_pf := pf1000
best_wr := wr1000
best_wr
plot(na(best_len) ? na : ta.sma(close, best_len), color = color.new(color.blue, 0), linewidth = 2, title = 'Optimal SMA')
var table stats_table = table.new(position = position.top_right, columns = 2, rows = 5, bgcolor = color.new(color.black, 85), border_width = 1)
if barstate.islast and show_table
if not na(best_len)
table.cell(stats_table, 0, 0, 'Optimal SMA Length', text_color = color.white)
table.cell(stats_table, 1, 0, str.tostring(best_len), text_color = color.white)
table.cell(stats_table, 0, 1, 'Total Trades', text_color = color.white)
table.cell(stats_table, 1, 1, str.tostring(best_trades), text_color = color.white)
table.cell(stats_table, 0, 2, 'Profit Factor', text_color = color.white)
table.cell(stats_table, 1, 2, str.tostring(best_pf, '#.##'), text_color = color.white)
table.cell(stats_table, 0, 3, 'Win Rate (%)', text_color = color.white)
table.cell(stats_table, 1, 3, str.tostring(best_wr * 100, '#.#'), text_color = color.white)
table.cell(stats_table, 0, 4, 'Robustness Score', text_color = color.white)
table.cell(stats_table, 1, 4, str.tostring(best_score, '#.##'), text_color = color.white)
else
table.cell(stats_table, 0, 0, 'Optimal SMA Length', text_color = color.gray)
table.cell(stats_table, 1, 0, 'Calculating...', text_color = color.gray)
table.cell(stats_table, 0, 1, 'Total Trades', text_color = color.gray)
table.cell(stats_table, 1, 1, '--', text_color = color.gray)
table.cell(stats_table, 0, 2, 'Profit Factor', text_color = color.gray)
table.cell(stats_table, 1, 2, '--', text_color = color.gray)
table.cell(stats_table, 0, 3, 'Win Rate (%)', text_color = color.gray)
table.cell(stats_table, 1, 3, '--', text_color = color.gray)
table.cell(stats_table, 0, 4, 'Robustness Score', text_color = color.gray)
table.cell(stats_table, 1, 4, '--', text_color = color.gray)
/////////////////////////////
// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © chaitu50c
//@version=6
// Inputs
gapType = input.string(title = 'Gap Type', defval = 'Open/Close', options = ['Open/Close', 'High/Low'])
bufferPrice = input.float(title = 'Price Buffer (points)', defval = 5.0, step = 0.1)
clusterRangePrice = input.float(title = 'Cluster Range (points)', defval = 100.0, step = 0.1)
lineWidth = input.int(title = 'Line Width', defval = 2, minval = 1)
daysBack = input.int(title = 'Days to include', defval = 1, minval = 1, maxval = 1)
// Color inputs
colorAbove = input.color(title = 'Color for Levels Above Price', defval = color.red)
colorBelow = input.color(title = 'Color for Levels Below Price', defval = color.green)
// Persistent arrays
var array<float> levels = array.new_float()
var array<line> linesArr = array.new_line()
var array<int> levelTimes = array.new_int()
// Session retention cutoff
dayStart = time('D')
retention = dayStart - (daysBack - 1) * 24 * 60 * 60 * 1000
// Purge old lines
if array.size(levelTimes) > 0
int idx = array.size(levelTimes) - 1
while idx >= 0
if array.get(levelTimes, idx) < retention
line.delete(array.get(linesArr, idx))
array.remove(linesArr, idx)
array.remove(levelTimes, idx)
array.remove(levels, idx)
idx := idx - 1
idx
// Gap detection logic
bool isGap = false
float lvl = na
if gapType == 'Open/Close'
bool gapGR = close[1] > open[1] and close < open and math.abs(close[1] - open) <= bufferPrice
bool gapRG = close[1] < open[1] and close > open and math.abs(close[1] - open) <= bufferPrice
isGap := gapGR or gapRG
lvl := gapGR ? close[1] : gapRG ? open : na
lvl
else
bool condColor = close[1] > open[1] and close < open
bool hl1 = condColor and math.abs(high[1] - low) <= bufferPrice
bool hl2 = condColor and math.abs(low[1] - high) <= bufferPrice
bool ll = condColor and math.abs(low[1] - low) <= bufferPrice
bool hh = condColor and math.abs(high[1] - high) <= bufferPrice
isGap := hl1 or hl2 or ll or hh
lvl := hl1 ? high[1] : hl2 ? low : ll ? low[1] : hh ? high : na
lvl
// Plot new clustered line if needed
if isGap and not na(lvl)
// determine color
clr = lvl < close ? colorBelow : colorAbove
if array.size(levels) == 0
array.push(levels, lvl)
array.push(levelTimes, dayStart)
ln = line.new(bar_index, lvl, bar_index + 1, lvl, xloc.bar_index, extend.both, clr, line.style_solid, lineWidth)
array.push(linesArr, ln)
else
bool exists = false
for i = 0 to array.size(levels) - 1 by 1
if math.abs(array.get(levels, i) - lvl) <= clusterRangePrice
exists := true
break
if not exists
array.push(levels, lvl)
array.push(levelTimes, dayStart)
ln = line.new(bar_index, lvl, bar_index + 1, lvl, xloc.bar_index, extend.both, clr, line.style_solid, lineWidth)
array.push(linesArr, ln)
// Dynamically update line colors
if array.size(linesArr) > 0
for i = 0 to array.size(linesArr) - 1 by 1
float level_i = array.get(levels, i)
line ln_i = array.get(linesArr, i)
clr_i = level_i < close ? colorBelow : colorAbove
line.set_color(ln_i, clr_i)
/////////////////////////////////////
triple ema kodundan ise....gereksiz yerleri iptal ediyoruz..... fill doldurma gibi....50-100-200 ema gibi...
kullanmak istediğimiz ema 200 ün saatlik ve 15 dakkalık çizgisini bırakıyoruz....
PHP Code:// @ Julien_Eche
//@version=6
indicator(title = 'Best SMA Finder', overlay = true, max_bars_back = 1100)
strategy_type = input.string(defval = 'Long Only', title = 'Strategy Type', options = ['Buy & Sell', 'Long Only'])
min_trades = input.int(defval = 100, title = 'Minimum Trades to Consider', minval = 1)
show_table = input.bool(true, title = 'Show Stats Table')
f_robustness(pf, trades, win_rate, min_trades) =>
trades >= min_trades and not na(pf) and pf >= 0 and not na(win_rate) ? pf * math.log(trades) * math.sqrt(win_rate) : -1e10
backtest(ma_len) =>
xMA = ta.sma(close, ma_len)
var float entry_price_long = na
var float entry_price_short = na
var int total_trades = 0
var int winning_trades = 0
var float total_profit = 0.0
var float total_loss = 0.0
long_condition = ta.crossover(close, xMA)
short_condition = ta.crossunder(close, xMA)
float trade_profit = na
if strategy_type == 'Buy & Sell'
if long_condition and na(entry_price_long) and na(entry_price_short)
entry_price_long := close
total_trades := total_trades + 1
total_trades
else
if short_condition and not na(entry_price_long)
trade_profit := close - entry_price_long
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
winning_trades
else
total_loss := total_loss - trade_profit
total_loss
entry_price_long := na
entry_price_short := close
total_trades := total_trades + 1
total_trades
else
if short_condition and na(entry_price_short) and na(entry_price_long)
entry_price_short := close
total_trades := total_trades + 1
total_trades
else
if long_condition and not na(entry_price_short)
trade_profit := entry_price_short - close
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
winning_trades
else
total_loss := total_loss - trade_profit
total_loss
entry_price_short := na
entry_price_long := close
total_trades := total_trades + 1
total_trades
else
if long_condition and na(entry_price_long)
entry_price_long := close
total_trades := total_trades + 1
total_trades
else if short_condition and not na(entry_price_long)
trade_profit := close - entry_price_long
if trade_profit > 0
total_profit := total_profit + trade_profit
winning_trades := winning_trades + 1
winning_trades
else
total_loss := total_loss - trade_profit
total_loss
entry_price_long := na
entry_price_long
float profit_factor = total_loss > 0 ? total_profit / total_loss : total_profit > 0 ? 10000.0 : 0
float win_rate = total_trades > 0 ? winning_trades / total_trades : 0.0
float robustness = f_robustness(profit_factor, total_trades, win_rate, min_trades)
[total_trades, profit_factor, win_rate, robustness]
[tt10, pf10, wr10, r10] = backtest(10)
[tt20, pf20, wr20, r20] = backtest(20)
[tt30, pf30, wr30, r30] = backtest(30)
[tt40, pf40, wr40, r40] = backtest(40)
[tt50, pf50, wr50, r50] = backtest(50)
[tt60, pf60, wr60, r60] = backtest(60)
[tt70, pf70, wr70, r70] = backtest(70)
[tt80, pf80, wr80, r80] = backtest(80)
[tt90, pf90, wr90, r90] = backtest(90)
[tt100, pf100, wr100, r100] = backtest(100)
[tt110, pf110, wr110, r110] = backtest(110)
[tt120, pf120, wr120, r120] = backtest(120)
[tt130, pf130, wr130, r130] = backtest(130)
[tt140, pf140, wr140, r140] = backtest(140)
[tt150, pf150, wr150, r150] = backtest(150)
[tt160, pf160, wr160, r160] = backtest(160)
[tt170, pf170, wr170, r170] = backtest(170)
[tt180, pf180, wr180, r180] = backtest(180)
[tt190, pf190, wr190, r190] = backtest(190)
[tt200, pf200, wr200, r200] = backtest(200)
[tt210, pf210, wr210, r210] = backtest(210)
[tt220, pf220, wr220, r220] = backtest(220)
[tt230, pf230, wr230, r230] = backtest(230)
[tt240, pf240, wr240, r240] = backtest(240)
[tt250, pf250, wr250, r250] = backtest(250)
[tt260, pf260, wr260, r260] = backtest(260)
[tt270, pf270, wr270, r270] = backtest(270)
[tt280, pf280, wr280, r280] = backtest(280)
[tt290, pf290, wr290, r290] = backtest(290)
[tt300, pf300, wr300, r300] = backtest(300)
[tt310, pf310, wr310, r310] = backtest(310)
[tt320, pf320, wr320, r320] = backtest(320)
[tt330, pf330, wr330, r330] = backtest(330)
[tt340, pf340, wr340, r340] = backtest(340)
[tt350, pf350, wr350, r350] = backtest(350)
[tt360, pf360, wr360, r360] = backtest(360)
[tt370, pf370, wr370, r370] = backtest(370)
[tt380, pf380, wr380, r380] = backtest(380)
[tt390, pf390, wr390, r390] = backtest(390)
[tt400, pf400, wr400, r400] = backtest(400)
[tt410, pf410, wr410, r410] = backtest(410)
[tt420, pf420, wr420, r420] = backtest(420)
[tt430, pf430, wr430, r430] = backtest(430)
[tt440, pf440, wr440, r440] = backtest(440)
[tt450, pf450, wr450, r450] = backtest(450)
[tt460, pf460, wr460, r460] = backtest(460)
[tt470, pf470, wr470, r470] = backtest(470)
[tt480, pf480, wr480, r480] = backtest(480)
[tt490, pf490, wr490, r490] = backtest(490)
[tt500, pf500, wr500, r500] = backtest(500)
[tt510, pf510, wr510, r510] = backtest(510)
[tt520, pf520, wr520, r520] = backtest(520)
[tt530, pf530, wr530, r530] = backtest(530)
[tt540, pf540, wr540, r540] = backtest(540)
[tt550, pf550, wr550, r550] = backtest(550)
[tt560, pf560, wr560, r560] = backtest(560)
[tt570, pf570, wr570, r570] = backtest(570)
[tt580, pf580, wr580, r580] = backtest(580)
[tt590, pf590, wr590, r590] = backtest(590)
[tt600, pf600, wr600, r600] = backtest(600)
[tt610, pf610, wr610, r610] = backtest(610)
[tt620, pf620, wr620, r620] = backtest(620)
[tt630, pf630, wr630, r630] = backtest(630)
[tt640, pf640, wr640, r640] = backtest(640)
[tt650, pf650, wr650, r650] = backtest(650)
[tt660, pf660, wr660, r660] = backtest(660)
[tt670, pf670, wr670, r670] = backtest(670)
[tt680, pf680, wr680, r680] = backtest(680)
[tt690, pf690, wr690, r690] = backtest(690)
[tt700, pf700, wr700, r700] = backtest(700)
[tt710, pf710, wr710, r710] = backtest(710)
[tt720, pf720, wr720, r720] = backtest(720)
[tt730, pf730, wr730, r730] = backtest(730)
[tt740, pf740, wr740, r740] = backtest(740)
[tt750, pf750, wr750, r750] = backtest(750)
[tt760, pf760, wr760, r760] = backtest(760)
[tt770, pf770, wr770, r770] = backtest(770)
[tt780, pf780, wr780, r780] = backtest(780)
[tt790, pf790, wr790, r790] = backtest(790)
[tt800, pf800, wr800, r800] = backtest(800)
[tt810, pf810, wr810, r810] = backtest(810)
[tt820, pf820, wr820, r820] = backtest(820)
[tt830, pf830, wr830, r830] = backtest(830)
[tt840, pf840, wr840, r840] = backtest(840)
[tt850, pf850, wr850, r850] = backtest(850)
[tt860, pf860, wr860, r860] = backtest(860)
[tt870, pf870, wr870, r870] = backtest(870)
[tt880, pf880, wr880, r880] = backtest(880)
[tt890, pf890, wr890, r890] = backtest(890)
[tt900, pf900, wr900, r900] = backtest(900)
[tt910, pf910, wr910, r910] = backtest(910)
[tt920, pf920, wr920, r920] = backtest(920)
[tt930, pf930, wr930, r930] = backtest(930)
[tt940, pf940, wr940, r940] = backtest(940)
[tt950, pf950, wr950, r950] = backtest(950)
[tt960, pf960, wr960, r960] = backtest(960)
[tt970, pf970, wr970, r970] = backtest(970)
[tt980, pf980, wr980, r980] = backtest(980)
[tt990, pf990, wr990, r990] = backtest(990)
[tt1000, pf1000, wr1000, r1000] = backtest(1000)
var float best_score = -1e10
var int best_len = na
var int best_trades = na
var float best_pf = na
var float best_wr = na
if not na(r10) and r10 > best_score
best_score := r10
best_len := 10
best_trades := tt10
best_pf := pf10
best_wr := wr10
best_wr
if not na(r20) and r20 > best_score
best_score := r20
best_len := 20
best_trades := tt20
best_pf := pf20
best_wr := wr20
best_wr
if not na(r30) and r30 > best_score
best_score := r30
best_len := 30
best_trades := tt30
best_pf := pf30
best_wr := wr30
best_wr
if not na(r40) and r40 > best_score
best_score := r40
best_len := 40
best_trades := tt40
best_pf := pf40
best_wr := wr40
best_wr
if not na(r50) and r50 > best_score
best_score := r50
best_len := 50
best_trades := tt50
best_pf := pf50
best_wr := wr50
best_wr
if not na(r60) and r60 > best_score
best_score := r60
best_len := 60
best_trades := tt60
best_pf := pf60
best_wr := wr60
best_wr
if not na(r70) and r70 > best_score
best_score := r70
best_len := 70
best_trades := tt70
best_pf := pf70
best_wr := wr70
best_wr
if not na(r80) and r80 > best_score
best_score := r80
best_len := 80
best_trades := tt80
best_pf := pf80
best_wr := wr80
best_wr
if not na(r90) and r90 > best_score
best_score := r90
best_len := 90
best_trades := tt90
best_pf := pf90
best_wr := wr90
best_wr
if not na(r100) and r100 > best_score
best_score := r100
best_len := 100
best_trades := tt100
best_pf := pf100
best_wr := wr100
best_wr
if not na(r110) and r110 > best_score
best_score := r110
best_len := 110
best_trades := tt110
best_pf := pf110
best_wr := wr110
best_wr
if not na(r120) and r120 > best_score
best_score := r120
best_len := 120
best_trades := tt120
best_pf := pf120
best_wr := wr120
best_wr
if not na(r130) and r130 > best_score
best_score := r130
best_len := 130
best_trades := tt130
best_pf := pf130
best_wr := wr130
best_wr
if not na(r140) and r140 > best_score
best_score := r140
best_len := 140
best_trades := tt140
best_pf := pf140
best_wr := wr140
best_wr
if not na(r150) and r150 > best_score
best_score := r150
best_len := 150
best_trades := tt150
best_pf := pf150
best_wr := wr150
best_wr
if not na(r160) and r160 > best_score
best_score := r160
best_len := 160
best_trades := tt160
best_pf := pf160
best_wr := wr160
best_wr
if not na(r170) and r170 > best_score
best_score := r170
best_len := 170
best_trades := tt170
best_pf := pf170
best_wr := wr170
best_wr
if not na(r180) and r180 > best_score
best_score := r180
best_len := 180
best_trades := tt180
best_pf := pf180
best_wr := wr180
best_wr
if not na(r190) and r190 > best_score
best_score := r190
best_len := 190
best_trades := tt190
best_pf := pf190
best_wr := wr190
best_wr
if not na(r200) and r200 > best_score
best_score := r200
best_len := 200
best_trades := tt200
best_pf := pf200
best_wr := wr200
best_wr
if not na(r210) and r210 > best_score
best_score := r210
best_len := 210
best_trades := tt210
best_pf := pf210
best_wr := wr210
best_wr
if not na(r220) and r220 > best_score
best_score := r220
best_len := 220
best_trades := tt220
best_pf := pf220
best_wr := wr220
best_wr
if not na(r230) and r230 > best_score
best_score := r230
best_len := 230
best_trades := tt230
best_pf := pf230
best_wr := wr230
best_wr
if not na(r240) and r240 > best_score
best_score := r240
best_len := 240
best_trades := tt240
best_pf := pf240
best_wr := wr240
best_wr
if not na(r250) and r250 > best_score
best_score := r250
best_len := 250
best_trades := tt250
best_pf := pf250
best_wr := wr250
best_wr
if not na(r260) and r260 > best_score
best_score := r260
best_len := 260
best_trades := tt260
best_pf := pf260
best_wr := wr260
best_wr
if not na(r270) and r270 > best_score
best_score := r270
best_len := 270
best_trades := tt270
best_pf := pf270
best_wr := wr270
best_wr
if not na(r280) and r280 > best_score
best_score := r280
best_len := 280
best_trades := tt280
best_pf := pf280
best_wr := wr280
best_wr
if not na(r290) and r290 > best_score
best_score := r290
best_len := 290
best_trades := tt290
best_pf := pf290
best_wr := wr290
best_wr
if not na(r300) and r300 > best_score
best_score := r300
best_len := 300
best_trades := tt300
best_pf := pf300
best_wr := wr300
best_wr
if not na(r310) and r310 > best_score
best_score := r310
best_len := 310
best_trades := tt310
best_pf := pf310
best_wr := wr310
best_wr
if not na(r320) and r320 > best_score
best_score := r320
best_len := 320
best_trades := tt320
best_pf := pf320
best_wr := wr320
best_wr
if not na(r330) and r330 > best_score
best_score := r330
best_len := 330
best_trades := tt330
best_pf := pf330
best_wr := wr330
best_wr
if not na(r340) and r340 > best_score
best_score := r340
best_len := 340
best_trades := tt340
best_pf := pf340
best_wr := wr340
best_wr
if not na(r350) and r350 > best_score
best_score := r350
best_len := 350
best_trades := tt350
best_pf := pf350
best_wr := wr350
best_wr
if not na(r360) and r360 > best_score
best_score := r360
best_len := 360
best_trades := tt360
best_pf := pf360
best_wr := wr360
best_wr
if not na(r370) and r370 > best_score
best_score := r370
best_len := 370
best_trades := tt370
best_pf := pf370
best_wr := wr370
best_wr
if not na(r380) and r380 > best_score
best_score := r380
best_len := 380
best_trades := tt380
best_pf := pf380
best_wr := wr380
best_wr
if not na(r390) and r390 > best_score
best_score := r390
best_len := 390
best_trades := tt390
best_pf := pf390
best_wr := wr390
best_wr
if not na(r400) and r400 > best_score
best_score := r400
best_len := 400
best_trades := tt400
best_pf := pf400
best_wr := wr400
best_wr
if not na(r410) and r410 > best_score
best_score := r410
best_len := 410
best_trades := tt410
best_pf := pf410
best_wr := wr410
best_wr
if not na(r420) and r420 > best_score
best_score := r420
best_len := 420
best_trades := tt420
best_pf := pf420
best_wr := wr420
best_wr
if not na(r430) and r430 > best_score
best_score := r430
best_len := 430
best_trades := tt430
best_pf := pf430
best_wr := wr430
best_wr
if not na(r440) and r440 > best_score
best_score := r440
best_len := 440
best_trades := tt440
best_pf := pf440
best_wr := wr440
best_wr
if not na(r450) and r450 > best_score
best_score := r450
best_len := 450
best_trades := tt450
best_pf := pf450
best_wr := wr450
best_wr
if not na(r460) and r460 > best_score
best_score := r460
best_len := 460
best_trades := tt460
best_pf := pf460
best_wr := wr460
best_wr
if not na(r470) and r470 > best_score
best_score := r470
best_len := 470
best_trades := tt470
best_pf := pf470
best_wr := wr470
best_wr
if not na(r480) and r480 > best_score
best_score := r480
best_len := 480
best_trades := tt480
best_pf := pf480
best_wr := wr480
best_wr
if not na(r490) and r490 > best_score
best_score := r490
best_len := 490
best_trades := tt490
best_pf := pf490
best_wr := wr490
best_wr
if not na(r500) and r500 > best_score
best_score := r500
best_len := 500
best_trades := tt500
best_pf := pf500
best_wr := wr500
best_wr
if not na(r510) and r510 > best_score
best_score := r510
best_len := 510
best_trades := tt510
best_pf := pf510
best_wr := wr510
best_wr
if not na(r520) and r520 > best_score
best_score := r520
best_len := 520
best_trades := tt520
best_pf := pf520
best_wr := wr520
best_wr
if not na(r530) and r530 > best_score
best_score := r530
best_len := 530
best_trades := tt530
best_pf := pf530
best_wr := wr530
best_wr
if not na(r540) and r540 > best_score
best_score := r540
best_len := 540
best_trades := tt540
best_pf := pf540
best_wr := wr540
best_wr
if not na(r550) and r550 > best_score
best_score := r550
best_len := 550
best_trades := tt550
best_pf := pf550
best_wr := wr550
best_wr
if not na(r560) and r560 > best_score
best_score := r560
best_len := 560
best_trades := tt560
best_pf := pf560
best_wr := wr560
best_wr
if not na(r570) and r570 > best_score
best_score := r570
best_len := 570
best_trades := tt570
best_pf := pf570
best_wr := wr570
best_wr
if not na(r580) and r580 > best_score
best_score := r580
best_len := 580
best_trades := tt580
best_pf := pf580
best_wr := wr580
best_wr
if not na(r590) and r590 > best_score
best_score := r590
best_len := 590
best_trades := tt590
best_pf := pf590
best_wr := wr590
best_wr
if not na(r600) and r600 > best_score
best_score := r600
best_len := 600
best_trades := tt600
best_pf := pf600
best_wr := wr600
best_wr
if not na(r610) and r610 > best_score
best_score := r610
best_len := 610
best_trades := tt610
best_pf := pf610
best_wr := wr610
best_wr
if not na(r620) and r620 > best_score
best_score := r620
best_len := 620
best_trades := tt620
best_pf := pf620
best_wr := wr620
best_wr
if not na(r630) and r630 > best_score
best_score := r630
best_len := 630
best_trades := tt630
best_pf := pf630
best_wr := wr630
best_wr
if not na(r640) and r640 > best_score
best_score := r640
best_len := 640
best_trades := tt640
best_pf := pf640
best_wr := wr640
best_wr
if not na(r650) and r650 > best_score
best_score := r650
best_len := 650
best_trades := tt650
best_pf := pf650
best_wr := wr650
best_wr
if not na(r660) and r660 > best_score
best_score := r660
best_len := 660
best_trades := tt660
best_pf := pf660
best_wr := wr660
best_wr
if not na(r670) and r670 > best_score
best_score := r670
best_len := 670
best_trades := tt670
best_pf := pf670
best_wr := wr670
best_wr
if not na(r680) and r680 > best_score
best_score := r680
best_len := 680
best_trades := tt680
best_pf := pf680
best_wr := wr680
best_wr
if not na(r690) and r690 > best_score
best_score := r690
best_len := 690
best_trades := tt690
best_pf := pf690
best_wr := wr690
best_wr
if not na(r700) and r700 > best_score
best_score := r700
best_len := 700
best_trades := tt700
best_pf := pf700
best_wr := wr700
best_wr
if not na(r710) and r710 > best_score
best_score := r710
best_len := 710
best_trades := tt710
best_pf := pf710
best_wr := wr710
best_wr
if not na(r720) and r720 > best_score
best_score := r720
best_len := 720
best_trades := tt720
best_pf := pf720
best_wr := wr720
best_wr
if not na(r730) and r730 > best_score
best_score := r730
best_len := 730
best_trades := tt730
best_pf := pf730
best_wr := wr730
best_wr
if not na(r740) and r740 > best_score
best_score := r740
best_len := 740
best_trades := tt740
best_pf := pf740
best_wr := wr740
best_wr
if not na(r750) and r750 > best_score
best_score := r750
best_len := 750
best_trades := tt750
best_pf := pf750
best_wr := wr750
best_wr
if not na(r760) and r760 > best_score
best_score := r760
best_len := 760
best_trades := tt760
best_pf := pf760
best_wr := wr760
best_wr
if not na(r770) and r770 > best_score
best_score := r770
best_len := 770
best_trades := tt770
best_pf := pf770
best_wr := wr770
best_wr
if not na(r780) and r780 > best_score
best_score := r780
best_len := 780
best_trades := tt780
best_pf := pf780
best_wr := wr780
best_wr
if not na(r790) and r790 > best_score
best_score := r790
best_len := 790
best_trades := tt790
best_pf := pf790
best_wr := wr790
best_wr
if not na(r800) and r800 > best_score
best_score := r800
best_len := 800
best_trades := tt800
best_pf := pf800
best_wr := wr800
best_wr
if not na(r810) and r810 > best_score
best_score := r810
best_len := 810
best_trades := tt810
best_pf := pf810
best_wr := wr810
best_wr
if not na(r820) and r820 > best_score
best_score := r820
best_len := 820
best_trades := tt820
best_pf := pf820
best_wr := wr820
best_wr
if not na(r830) and r830 > best_score
best_score := r830
best_len := 830
best_trades := tt830
best_pf := pf830
best_wr := wr830
best_wr
if not na(r840) and r840 > best_score
best_score := r840
best_len := 840
best_trades := tt840
best_pf := pf840
best_wr := wr840
best_wr
if not na(r850) and r850 > best_score
best_score := r850
best_len := 850
best_trades := tt850
best_pf := pf850
best_wr := wr850
best_wr
if not na(r860) and r860 > best_score
best_score := r860
best_len := 860
best_trades := tt860
best_pf := pf860
best_wr := wr860
best_wr
if not na(r870) and r870 > best_score
best_score := r870
best_len := 870
best_trades := tt870
best_pf := pf870
best_wr := wr870
best_wr
if not na(r880) and r880 > best_score
best_score := r880
best_len := 880
best_trades := tt880
best_pf := pf880
best_wr := wr880
best_wr
if not na(r890) and r890 > best_score
best_score := r890
best_len := 890
best_trades := tt890
best_pf := pf890
best_wr := wr890
best_wr
if not na(r900) and r900 > best_score
best_score := r900
best_len := 900
best_trades := tt900
best_pf := pf900
best_wr := wr900
best_wr
if not na(r910) and r910 > best_score
best_score := r910
best_len := 910
best_trades := tt910
best_pf := pf910
best_wr := wr910
best_wr
if not na(r920) and r920 > best_score
best_score := r920
best_len := 920
best_trades := tt920
best_pf := pf920
best_wr := wr920
best_wr
if not na(r930) and r930 > best_score
best_score := r930
best_len := 930
best_trades := tt930
best_pf := pf930
best_wr := wr930
best_wr
if not na(r940) and r940 > best_score
best_score := r940
best_len := 940
best_trades := tt940
best_pf := pf940
best_wr := wr940
best_wr
if not na(r950) and r950 > best_score
best_score := r950
best_len := 950
best_trades := tt950
best_pf := pf950
best_wr := wr950
best_wr
if not na(r960) and r960 > best_score
best_score := r960
best_len := 960
best_trades := tt960
best_pf := pf960
best_wr := wr960
best_wr
if not na(r970) and r970 > best_score
best_score := r970
best_len := 970
best_trades := tt970
best_pf := pf970
best_wr := wr970
best_wr
if not na(r980) and r980 > best_score
best_score := r980
best_len := 980
best_trades := tt980
best_pf := pf980
best_wr := wr980
best_wr
if not na(r990) and r990 > best_score
best_score := r990
best_len := 990
best_trades := tt990
best_pf := pf990
best_wr := wr990
best_wr
if not na(r1000) and r1000 > best_score
best_score := r1000
best_len := 1000
best_trades := tt1000
best_pf := pf1000
best_wr := wr1000
best_wr
plot(na(best_len) ? na : ta.sma(close, best_len), color = color.new(color.blue, 0), linewidth = 2, title = 'Optimal SMA')
var table stats_table = table.new(position = position.top_right, columns = 2, rows = 5, bgcolor = color.new(color.black, 85), border_width = 1)
if barstate.islast and show_table
if not na(best_len)
table.cell(stats_table, 0, 0, 'Optimal SMA Length', text_color = color.white)
table.cell(stats_table, 1, 0, str.tostring(best_len), text_color = color.white)
table.cell(stats_table, 0, 1, 'Total Trades', text_color = color.white)
table.cell(stats_table, 1, 1, str.tostring(best_trades), text_color = color.white)
table.cell(stats_table, 0, 2, 'Profit Factor', text_color = color.white)
table.cell(stats_table, 1, 2, str.tostring(best_pf, '#.##'), text_color = color.white)
table.cell(stats_table, 0, 3, 'Win Rate (%)', text_color = color.white)
table.cell(stats_table, 1, 3, str.tostring(best_wr * 100, '#.#'), text_color = color.white)
table.cell(stats_table, 0, 4, 'Robustness Score', text_color = color.white)
table.cell(stats_table, 1, 4, str.tostring(best_score, '#.##'), text_color = color.white)
else
table.cell(stats_table, 0, 0, 'Optimal SMA Length', text_color = color.gray)
table.cell(stats_table, 1, 0, 'Calculating...', text_color = color.gray)
table.cell(stats_table, 0, 1, 'Total Trades', text_color = color.gray)
table.cell(stats_table, 1, 1, '--', text_color = color.gray)
table.cell(stats_table, 0, 2, 'Profit Factor', text_color = color.gray)
table.cell(stats_table, 1, 2, '--', text_color = color.gray)
table.cell(stats_table, 0, 3, 'Win Rate (%)', text_color = color.gray)
table.cell(stats_table, 1, 3, '--', text_color = color.gray)
table.cell(stats_table, 0, 4, 'Robustness Score', text_color = color.gray)
table.cell(stats_table, 1, 4, '--', text_color = color.gray)
/////////////////////////////
// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © chaitu50c
//@version=6
// Inputs
gapType = input.string(title = 'Gap Type', defval = 'Open/Close', options = ['Open/Close', 'High/Low'])
bufferPrice = input.float(title = 'Price Buffer (points)', defval = 5.0, step = 0.1)
clusterRangePrice = input.float(title = 'Cluster Range (points)', defval = 100.0, step = 0.1)
lineWidth = input.int(title = 'Line Width', defval = 2, minval = 1)
daysBack = input.int(title = 'Days to include', defval = 1, minval = 1, maxval = 1)
// Color inputs
colorAbove = input.color(title = 'Color for Levels Above Price', defval = color.red)
colorBelow = input.color(title = 'Color for Levels Below Price', defval = color.green)
// Persistent arrays
var array<float> levels = array.new_float()
var array<line> linesArr = array.new_line()
var array<int> levelTimes = array.new_int()
// Session retention cutoff
dayStart = time('D')
retention = dayStart - (daysBack - 1) * 24 * 60 * 60 * 1000
// Purge old lines
if array.size(levelTimes) > 0
int idx = array.size(levelTimes) - 1
while idx >= 0
if array.get(levelTimes, idx) < retention
line.delete(array.get(linesArr, idx))
array.remove(linesArr, idx)
array.remove(levelTimes, idx)
array.remove(levels, idx)
idx := idx - 1
idx
// Gap detection logic
bool isGap = false
float lvl = na
if gapType == 'Open/Close'
bool gapGR = close[1] > open[1] and close < open and math.abs(close[1] - open) <= bufferPrice
bool gapRG = close[1] < open[1] and close > open and math.abs(close[1] - open) <= bufferPrice
isGap := gapGR or gapRG
lvl := gapGR ? close[1] : gapRG ? open : na
lvl
else
bool condColor = close[1] > open[1] and close < open
bool hl1 = condColor and math.abs(high[1] - low) <= bufferPrice
bool hl2 = condColor and math.abs(low[1] - high) <= bufferPrice
bool ll = condColor and math.abs(low[1] - low) <= bufferPrice
bool hh = condColor and math.abs(high[1] - high) <= bufferPrice
isGap := hl1 or hl2 or ll or hh
lvl := hl1 ? high[1] : hl2 ? low : ll ? low[1] : hh ? high : na
lvl
// Plot new clustered line if needed
if isGap and not na(lvl)
// determine color
clr = lvl < close ? colorBelow : colorAbove
if array.size(levels) == 0
array.push(levels, lvl)
array.push(levelTimes, dayStart)
ln = line.new(bar_index, lvl, bar_index + 1, lvl, xloc.bar_index, extend.both, clr, line.style_solid, lineWidth)
array.push(linesArr, ln)
else
bool exists = false
for i = 0 to array.size(levels) - 1 by 1
if math.abs(array.get(levels, i) - lvl) <= clusterRangePrice
exists := true
break
if not exists
array.push(levels, lvl)
array.push(levelTimes, dayStart)
ln = line.new(bar_index, lvl, bar_index + 1, lvl, xloc.bar_index, extend.both, clr, line.style_solid, lineWidth)
array.push(linesArr, ln)
// Dynamically update line colors
if array.size(linesArr) > 0
for i = 0 to array.size(linesArr) - 1 by 1
float level_i = array.get(levels, i)
line ln_i = array.get(linesArr, i)
clr_i = level_i < close ? colorBelow : colorAbove
line.set_color(ln_i, clr_i)
/////////////////////////////////////
//@version=5
// --- EMA sur le timeframe courant ---
ema50 = ta.ema(close, 50)
ema100 = ta.ema(close, 100)
ema200 = ta.ema(close, 200)
//ema50_plot = plot(ema50, color=color.gray, linewidth=2, title="EMA 50")
//ema100_plot = plot(ema100, color=color.navy, linewidth=2, title="EMA 100")
//ema200_plot = plot(ema200, color=color.black, linewidth=2, title="EMA 200")
// --- Filling entre les EMA du timeframe courant ---
//fill(ema50_plot, ema100_plot, color=color.new(color.blue, 90), title="Filling EMA50-EMA100")
//fill(ema100_plot, ema200_plot, color=color.new(color.purple, 90), title="Filling EMA100-EMA200")
// --- EMA200 sur H4 ---
ema200_h4 = request.security(syminfo.tickerid, "240", ta.ema(close, 200))
//plot(ema200_h4, color=color.new(color.black, 0), linewidth=2, style=plot.style_linebr, title="EMA200 H4")
// --- EMA200 sur H1 ---
ema200_h1 = request.security(syminfo.tickerid, "60", ta.ema(close, 200))
plot(ema200_h1, color=color.new(color.green, 0), linewidth=2, style=plot.style_linebr, title="EMA200 H1")
// --- EMA200 sur M15 ---
ema200_m15 = request.security(syminfo.tickerid, "15", ta.ema(close, 200))
plot(ema200_m15, color=color.new(color.orange, 0), linewidth=2, style=plot.style_linebr, title="EMA200 M15")
// --- Condition : prix touche EMA200 H4 ---
touch_ema200_h4 = (low <= ema200_h4 and high >= ema200_h4)
// --- Condition : prix touche EMA200 H1 ---
touch_ema200_h1 = (low <= ema200_h1 and high >= ema200_h1)
// --- Condition : prix touche EMA200 M15 ---
touch_ema200_m15 = (low <= ema200_m15 and high >= ema200_m15)
// --- Conditions de croisement EMA100/EMA200 ---
cross_up = ta.crossover(ema100, ema200)
cross_down = ta.crossunder(ema100, ema200)
// --- Alertes instantanées (tick par tick) ---
if touch_ema200_h4
alert("Le prix touche l'EMA200 H4 sur " + syminfo.ticker + " (" + timeframe.period + ")", alert.freq_all)
if touch_ema200_h1
alert("Le prix touche l'EMA200 H1 sur " + syminfo.ticker + " (" + timeframe.period + ")", alert.freq_all)
if touch_ema200_m15
alert("Le prix touche l'EMA200 M15 sur " + syminfo.ticker + " (" + timeframe.period + ")", alert.freq_all)
if cross_up
alert("EMA100 croise au-dessus EMA200 sur " + syminfo.ticker + " (" + timeframe.period + ")", alert.freq_all)
if cross_down
alert("EMA100 croise en-dessous EMA200 sur " + syminfo.ticker + " (" + timeframe.period + ")", alert.freq_all)
// --- Alertes classiques pour compatibilité (optionnel) ---
alertcondition(cross_up, title="EMA100 croise au-dessus EMA200", message="EMA100 croise au-dessus EMA200 sur {{ticker}} ({{interval}})")
alertcondition(cross_down, title="EMA100 croise en-dessous EMA200", message="EMA100 croise en-dessous EMA200 sur {{ticker}} ({{interval}})")
alertcondition(touch_ema200_h4, title="Prix touche EMA200 H4", message="Le prix touche l'EMA200 H4 sur {{ticker}} ({{interval}})")
alertcondition(touch_ema200_h1, title="Prix touche EMA200 H1", message="Le prix touche l'EMA200 H1 sur {{ticker}} ({{interval}})")
alertcondition(touch_ema200_m15, title="Prix touche EMA200 M15", message="Le prix touche l'EMA200 M15 sur {{ticker}} ({{interval}})")
böylece....ilk kod hariç...
diğer birleştireceğimiz kodların...ilk satırı olan....indikatörle başlayan kısmını silerek istediğimiz kadar birleştiriyoruz.....
versiyonların aynı olmasına....
ve kullanmak istediğimiz bölümlere dikkat ediyorruz....
https://www.tradingview.com/x/boJcXtzX/ 1 dakkalık....
görüntüde birleştirdiğimiz kodlar.....
1 dakkalık periyotta en iyi 20 sma çalıştığını....en verimli kazancın 20 sma ile oluştuğunu görüyor....
çünkü bu kod....en verimli sma değerini test ederek bulan kod....
gap culuster ile....kanallamış oluyoruz ki....destek ve direnç gibi düşünüyoz....
triple ema kodunda ise sadece mtf olarak 200 günlüğün 15-60 dakikasını görmüş oluyoruz.....
bundan sonrası ise...
strateji yazmayı gerektirir ki.....biraz koddan anlamak gerekiyor.....
örneğin....
https://www.tradingview.com/x/sM8a0wEq/
çizgileri kaldırdığımızda ve 200 lük mtf saati kaldırdığımızda....
sadece en iyi sma ile 200lüğün 15dakkalık mtf si kalmış oluyor ki.....
basit strateji .....sma nın....200lük mtf kesişimi ile yazılır....
neden....
çünkü....200lük değerimiz sabit ve mtf 15 lik alıyoruz.....
ama sma değeri....kodun çalışma gereği....periyotlarda değişecektir.....
1 dakkalıkta 20 sma
https://www.tradingview.com/x/hbzlCfbY/ 15likte 10 sma....
https://www.tradingview.com/x/Q8giDtVJ/ saatlikte 180 sma....
https://www.tradingview.com/x/ZXESYelh/ 4 saatlikte 50 sma....
https://www.tradingview.com/x/xeXvf0OK/ günlükte 10 sma.... değerini alıyor....
böylece kesişim stratejisinde....
kullanacağımız periyotta.....
hesaplanan en iyi sma değeri....200lük mtf 15 değerini....
yukarı keserse long....
tersi durum....short olarak kodlanmış olacak....
biraz daha ileri götürmek isteyen ise....
stratejiyi seçeceği periyotla ilişkilendirir ki....
örneğin....
1-5-15 dakkalık periyor kullanan kişi....
bu periyotlardan herhangi birindeyken.....
renklendirme kullanarak.....
hangi periyot al hangisi sat görmüş olur ki....
yineleme ile
3 periyor strateji sonucunu...kendi tecrübesiyle teke indirebilirken....
3 nüde görede bilir....
https://www.tradingview.com/x/LcZnPXOQ/
anlatmaya çalıştığım ilk strateji bu.....
https://www.tradingview.com/x/pTGRt5ro/
renklendirme dediğim bu....
sarı 1 dakkalık...
beyaz 5 dakkalık...
https://www.tradingview.com/x/sweK4BB2/
bu da 15 dakkalıktaki görüntü....
istediğiniz kodları nasıl birleştirebileceğiniz....
ve
nsaıl strateji kurabileceğinize dair....
örneklem yapmış olduk....
dikkat....
çok başarılı işlemler için....çok fazla kod kullanılmıyor....
başarılı gözüken kodlar....backtestlere sokulduğunda....sonuçlar beklenen gibi olmuyor....
başarı genellikle sadelikte gizlidir....
yani basit olan...daha kolay ve anlaşılır....
kişi.....
strateji tasarımı yapmadan önce... kullanacağı kodları belirlemeden önce.....
ilk olarak.....
işlem yapacağı....periyotu belirlemelidir....
ikinci olarak.... kullanacağı stratejinin....periyot ilişkilendirmesi... yani döngülemesine dikkat etmelidir....
sonra stratejisini testten geçirmelidir.....
sonrasında kullanacağı kodları.... değiştirmeli....değerleri ile oynamalı...birleştirme yoluna gitmelidir....
teknikteki en yaygın hatalardan biri.....
bir çok kod kullanılıp.....kullandığı kodların çoğu...üç aşağı beş yukarı aynı sonucu verince....
kalabalıktan başka bir şey olmuyor ki....kullanımı zorlaşıyor....
genellikle...
en iyi kullandığı kodu.... yineleyenler....
ve
periyot ilişklendirmesi yapanların....
olasılık sonuçları....daha tutarlı oluyor....
temel kuraldır ki....
evla olanı ararken....bir önceki evla olana kıyas yapılır.....
yazdığımız stratejiyi....
mecburen....önceden kullandığım tasarımlarla kıyaslama yapmam gerekir ki.....
örneğin....
https://www.tradingview.com/x/WGnU1MB5/
https://www.tradingview.com/x/nohx8ROR/
yapıldığında...sonucu a bakıldığında.....
yeni yapılan tasarının....kullanılıp kullanılmayacağına çok rahat karar vermiş olursunuz....
orta-uzun için durgunluk olasılığı göz ardı edilirse....
günlük-haftalık ve aylık görüntüler....
not(kullanılan farklı değerlerdeki üçlü psardır. bkz...https://www.unlumenkul.com/blog/para...ikatoru-nedir/
btcusdt
https://www.tradingview.com/x/yRPaOac6/
https://www.tradingview.com/x/XWapl2E6/
https://www.tradingview.com/x/DRZA112J/
xauusd
https://www.tradingview.com/x/a4R2c2Co/
https://www.tradingview.com/x/TSWLDhzU/
https://www.tradingview.com/x/Ei2DTKy9/
wti
https://www.tradingview.com/x/e5gLC69m/
https://www.tradingview.com/x/uspbxrZb/
https://www.tradingview.com/x/vqoHLZ4L/
usdjpy
https://www.tradingview.com/x/2Tzqz9VK/
https://www.tradingview.com/x/jIFoF6LJ/
https://www.tradingview.com/x/oTlvBK0S/
usdtry
https://www.tradingview.com/x/XoS8W4yx/
https://www.tradingview.com/x/vg98m6J7/
https://www.tradingview.com/x/Jh2k0FGP/
xu100
https://www.tradingview.com/x/vn3BUKUy/
https://www.tradingview.com/x/iECTsjEN/
https://www.tradingview.com/x/rof9EcaV/
xbank
https://www.tradingview.com/x/hnBTZzPC/
https://www.tradingview.com/x/uyQXRyMc/
https://www.tradingview.com/x/cMq7fLui/
kchol
https://www.tradingview.com/x/7qDu9pLZ/
https://www.tradingview.com/x/5O91Sjd2/
https://www.tradingview.com/x/N99rceSY/
ykb
https://www.tradingview.com/x/Uk49eagc/
https://www.tradingview.com/x/bJlL0Ak7/
https://www.tradingview.com/x/Ujuy8NLg/
ereg
https://www.tradingview.com/x/PeJug0Qq/
https://www.tradingview.com/x/1r8sHFXs/
https://www.tradingview.com/x/kyHsN9FX/
https://tr.tradingview.com/script/U1...llinger-Bands/
mtf bolinger kodu.....mtf kalıp için farklı indikatörleri denemek için kullanılabilir....
görüntü...8 değeriyle...g-h-aylık olaraktır ki....
low ve ema lar kapatılmıştır...
https://www.tradingview.com/x/zjfnEAGm/
https://tr.tradingview.com/script/EX...Bitcoin-daily/
bolingerı 20 değeri için...0.1 ve 0.2 hesaplatmış...sonra daralması ve açılmasını renklendirmiş...
siyah aşırı satış....kırmızı satış...sarı normal...alan...
8 değeri uygulanırsa görüntü....https://www.tradingview.com/x/0q45DVC3/
https://tr.tradingview.com/script/9KNKhgYa/
bolingere...atr eklemiş....ihlallere göre... tekrar bolinger içine dönme mantığıyla...strateji var....
görüntü....https://www.tradingview.com/x/g2aY7ZUn/
20 değeri kullanılırsa....https://www.tradingview.com/x/mGjX378o/
8 değeri kullanılırsa.....https://www.tradingview.com/x/JzH5xSMq/
mtf özellik var...
https://tr.tradingview.com/script/vL...erTrend-Entry/
fiyat atryi kesmesine göre bar renklendirilmiş.....otomatik profit hesaplaması var....
https://www.tradingview.com/x/NZ8Cnvyu/
https://tr.tradingview.com/script/uXB6f9Y5-SAR-MACD/
adı üstünde...
tasarlarken...
genellikle en düşük periyotu tercih eder....
bolinger benzeri kanal görmek....
mtf kullanarak....bir indikatörün...diğer periyot değerlerini bilmek.....
ve...
sinyal hesaplattığım değeri....
en yakın değerle kontrol etmek isterim.....
tasarlarken farklı indikatörleri kullanarak değil....
aynı indikatörü...farklı hesaplamalar yaparak kullanılmasını isteyince.....
tw de... indikatörlere bakarken......hesaplamalarını dikkat ederim....
farklı olanlar dikkatimi çeker.....
onları kombine eder....kendi değerimi kullanmaya çalışırım.....
örnek...
https://www.tradingview.com/x/gj7XO9ht/
görüntüdeki her şey....psar hesaplamasıdır.....
örnek kod.....dilediğiniz değişiklikleri yapabilmeniz için.....PHP Code:// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
// https://creativecommons.org/licenses/by-nc-sa/4.0/
// © BigBeluga
//@version=6
indicator(title="Parabolic SAR Deviation [BigBeluga]", shorttitle="...", overlay=true, max_lines_count = 500, max_labels_count = 500)
// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
float start = input.float(0., step = 0.01, group = "SAR")
float increment = input.float(0.01, step = 0.001, group = "SAR")
int maximum = 1
bool prices = input.bool(true, "Signals", group = "SAR")
color col_up = input.color(color.rgb(202, 245, 8), "", inline = "col", group = "SAR")
color col_dn = input.color(color.rgb(10, 219, 242), "", inline = "col", group = "SAR")
float deviation_size = input.float(1.5, "Deviation", step = 0.1, group = "Deviation Levels")
color color_na = color.new(color.black, 100)
color standart_col = chart.fg_color
// }
// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
out = ta.sar(start, increment, maximum)
deviation_levels(trend)=>
float dist = ta.sma(high-low, 100)*deviation_size
var lines = array.new<line>(4, line(na))
var labels = array.new<label>(4, label(na))
if trend != trend[1]
for i = 1 to 4
y = trend ? close+dist*i : close-dist*i
line1 = line.new(bar_index, y, bar_index, y, color = standart_col)
label1 = label.new(bar_index, y, str.tostring(i), style = label.style_label_right, color = color_na, textcolor = standart_col)
labels.push(label1)
lines.push(line1)
if lines.size() > 4
line.delete(lines.shift())
label.delete(labels.shift())
bool trend = close > out
bool trend_up = ta.crossover(close, out) and barstate.isconfirmed
bool trend_dn = ta.crossunder(close, out) and barstate.isconfirmed
color trend_col = trend ? col_up : col_dn
// }
// ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
if prices
if trend_up
label.new(bar_index, out, "▲\n" + str.tostring(close, "#,###.####"), style=label.style_label_up, textcolor = trend_col, color = color_na)
if trend_dn
label.new(bar_index, out, str.tostring(close, "#,###.####") + "\n▼", style=label.style_label_down, textcolor = trend_col, color = color_na)
deviation_levels(trend)
//pp = plot(hl2, editable = false, display = display.none)
po = plot(trend != trend[1] ? na : out, "SAR", color=trend_col, style = plot.style_linebr, linewidth = 2)
//fill(pp, po, hl2, out, na, color.new(trend_col, 90))
// }
/////////////////////
// This indicator is created under TechnoBlooms - Innovating Trading Indicators and Strategies.
// All rights reserved. Unauthorized copying or distribution is prohibited.
// © TechnoBlooms
//@version=6
//-------------------------------------------------------------------------------------
// Inputs for SAR
//-------------------------------------------------------------------------------------
start1 = input(0.)
increment1 = input(0.01)
maximum1 = input(0.2, "Max Value")
//-------------------------------------------------------------------------------------
// SAR calculation for the chart's main timeframe
//-------------------------------------------------------------------------------------
out1 = ta.sar(start1, increment1, maximum1)
plot_color = close > out1 ? color.rgb(5, 182, 64) : close < out ? color.rgb(169, 7, 7) : na
//-------------------------------------------------------------------------------------
// Table settings
//-------------------------------------------------------------------------------------
show_header = input(false, title="Show header?", group='Table Settings')
dashboard_position = input.string("Middle right", title="Position", options=["Top right", "Bottom right", "Top left", "Bottom left", "Top center", "Bottom center", "Middle right"], group='Table Settings')
text_size = input.string('Normal', title="Size", options=["Tiny", "Small", "Normal", "Large"], group='Table Settings')
text_color = input.color(color.rgb(11, 68, 224), title="Text color", group='Table Settings')
table_color = input.color(color.purple, title="Border color", group='Table Settings')
//uptrend_indicator = input.string("🔵", title="Uptrend indicator", group='Table Settings')
//downtrend_indicator = input.string("🟠", title="Downtrend indicator", group='Table Settings')
uptrend_indicator = "🔵"
downtrend_indicator = "🟠"
//--------------------------------------------------------------------------------------
// Timeframe settings
// User selects 10 different timeframes
//--------------------------------------------------------------------------------------
tf1 = input.timeframe("1", title="Timeframe 1")
tf2 = input.timeframe("3", title="Timeframe 2")
tf3 = input.timeframe("5", title="Timeframe 3")
tf4 = input.timeframe("10", title="Timeframe 4")
tf5 = input.timeframe("15", title="Timeframe 5")
tf6 = input.timeframe("30", title="Timeframe 6")
tf7 = input.timeframe("60", title="Timeframe 7")
tf8 = input.timeframe("120", title="Timeframe 8")
tf9 = input.timeframe("240", title="Timeframe 9")
tf10 = input.timeframe("D", title="Timeframe 10")
//--------------------------------------------------------------------------------------
// Table positioning and sizing
//--------------------------------------------------------------------------------------
var table_position = dashboard_position == 'Top right' ? position.top_right :
dashboard_position == 'Top left' ? position.top_left :
dashboard_position == 'Top center' ? position.top_center :
dashboard_position == 'Bottom right' ? position.bottom_right :
dashboard_position == 'Bottom left' ? position.bottom_left :
dashboard_position == 'Bottom center' ? position.bottom_center :
dashboard_position == 'Middle right' ? position.middle_right : position.middle_right
var table_text_size = text_size == 'Normal' ? size.normal :
text_size == 'Large' ? size.large :
text_size == 'Tiny' ? size.tiny :
text_size == 'Small' ? size.small : size.normal
var t = table.new(position=table_position, columns=3, rows=20, frame_color=#cdcbcb, frame_width=5, border_color=table_color, border_width=1,bgcolor =color.rgb(21, 21, 21) )
//--------------------------------------------------------------------------------------
// Function to determine trend status
//--------------------------------------------------------------------------------------
get_trend_status(trend_value) =>
is_uptrend = close > trend_value
candle_now = is_uptrend ? uptrend_indicator : downtrend_indicator
candle_now
//--------------------------------------------------------------------------------------
// Calculate trend and SAR value for all selected timeframes
//--------------------------------------------------------------------------------------
sar_1 = request.security(syminfo.tickerid, tf1, ta.sar(start, increment, maximum))
sar_2 = request.security(syminfo.tickerid, tf2, ta.sar(start, increment, maximum))
sar_3 = request.security(syminfo.tickerid, tf3, ta.sar(start, increment, maximum))
sar_4 = request.security(syminfo.tickerid, tf4, ta.sar(start, increment, maximum))
sar_5 = request.security(syminfo.tickerid, tf5, ta.sar(start, increment, maximum))
sar_6 = request.security(syminfo.tickerid, tf6, ta.sar(start, increment, maximum))
sar_7 = request.security(syminfo.tickerid, tf7, ta.sar(start, increment, maximum))
sar_8 = request.security(syminfo.tickerid, tf8, ta.sar(start, increment, maximum))
sar_9 = request.security(syminfo.tickerid, tf9, ta.sar(start, increment, maximum))
sar_10 = request.security(syminfo.tickerid, tf10, ta.sar(start, increment, maximum))
trend_indicator_1 = get_trend_status(sar_1)
trend_indicator_2 = get_trend_status(sar_2)
trend_indicator_3 = get_trend_status(sar_3)
trend_indicator_4 = get_trend_status(sar_4)
trend_indicator_5 = get_trend_status(sar_5)
trend_indicator_6 = get_trend_status(sar_6)
trend_indicator_7 = get_trend_status(sar_7)
trend_indicator_8 = get_trend_status(sar_8)
trend_indicator_9 = get_trend_status(sar_9)
trend_indicator_10 = get_trend_status(sar_10)
if tf1 == "60"
tf1 := "1H"
if tf1 == "120"
tf1 := "2H"
if tf1 == "180"
tf1 := "3H"
if tf1 == "240"
tf1 := "4H"
if tf2 == "60"
tf2 := "1H"
if tf2 == "120"
tf2 := "2H"
if tf2 == "180"
tf2 := "3H"
if tf2 == "240"
tf2 := "4H"
if tf3 == "60"
tf3 := "1H"
if tf3 == "120"
tf3 := "2H"
if tf3 == "180"
tf3 := "3H"
if tf3 == "240"
tf3 := "4H"
if tf4 == "60"
tf4 := "1H"
if tf4 == "120"
tf4 := "2H"
if tf4 == "180"
tf4 := "3H"
if tf4 == "240"
tf4 := "4H"
if tf5 == "60"
tf5 := "1H"
if tf5 == "120"
tf5 := "2H"
if tf5 == "180"
tf5 := "3H"
if tf5 == "240"
tf5 := "4H"
if tf6 == "60"
tf6 := "1H"
if tf6 == "120"
tf6 := "2H"
if tf6 == "180"
tf6 := "3H"
if tf6 == "240"
tf6 := "4H"
if tf7 == "60"
tf7 := "1H"
if tf7 == "120"
tf7 := "2H"
if tf7 == "180"
tf7 := "3H"
if tf7 == "240"
tf7 := "4H"
if tf8 == "60"
tf8 := "1H"
if tf8 == "120"
tf8 := "2H"
if tf8 == "180"
tf8 := "3H"
if tf8 == "240"
tf8 := "4H"
if tf9 == "60"
tf9 := "1H"
if tf9 == "120"
tf9 := "2H"
if tf9 == "180"
tf9 := "3H"
if tf9 == "240"
tf9 := "4H"
if tf10 == "60"
tf10 := "1H"
if tf10 == "120"
tf10 := "2H"
if tf10 == "180"
tf10 := "3H"
if tf10 == "240"
tf10 := "4H"
//---------------------------------------------------------------------------------------------
// Update table with trend data
//---------------------------------------------------------------------------------------------
if (barstate.islast)
table.cell(t, 0, 1, tf1, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 1, text="●", text_color=trend_indicator_1==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 1, str.tostring(sar_1, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 2, tf2, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 2, text="●", text_color=trend_indicator_2==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 2, str.tostring(sar_2, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 3, tf3, text_color=color.white, text_size=table_text_size,bgcolor= color.rgb(21, 21, 21))
table.cell(t, 1, 3, text="●", text_color=trend_indicator_3==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 3, str.tostring(sar_3, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 4, tf4, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 4, text="●", text_color=trend_indicator_4==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 4, str.tostring(sar_4, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 5, tf5, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 5, text="●", text_color=trend_indicator_5==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 5, str.tostring(sar_5, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 6, tf6, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 6, text="●", text_color=trend_indicator_6==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 6, str.tostring(sar_6, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 7, tf7, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 7, text="●", text_color=trend_indicator_7==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 7, str.tostring(sar_7, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 8, tf8, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 8, text="●", text_color=trend_indicator_8==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 8, str.tostring(sar_8, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 9, tf9, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 9, text="●", text_color=trend_indicator_9==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 9, str.tostring(sar_9, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 10, tf10, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 10, text="●", text_color=trend_indicator_10==uptrend_indicator?color.rgb(224, 64, 251):#64d9e8,text_size = size.large)
table.cell(t, 2, 10, str.tostring(sar_10, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t,0,0,"T.F",text_color = color.white,bgcolor = color.rgb(21, 21, 21))
table.cell(t,1,0,"TREND",text_color = color.white,bgcolor = color.rgb(21, 21, 21))
table.cell(t,2,0,"PRICE",text_color = color.white,bgcolor = color.rgb(21, 21, 21))
//------------------------------------------------------------------------------------------
// Determine how far back the line should extend
//------------------------------------------------------------------------------------------
lookback = input.int(5, "Line Lookback Period", minval=1)
//------------------------------------------------------------------------------------------
// On each new bar, create or update the line
///////////////////////////
//@version=6
// INPUTS //
//
start3 = input(0.0)
increment3 = input(0.01)
maximum3 = input(0.2)
s1 = ta.sar(start3, increment3, maximum3)
//pc = close < s1 ? color.red : color.green
//plot(s1, style = plot.style_cross, color = pc)
//
lookBack = input(40)
//
multi = input.float(2, title = 'Multiplier', minval = 0.001, maxval = 2)
mean = ta.ema(s1, lookBack)
stddev = multi * ta.stdev(s1, lookBack)
b = mean + stddev
s2 = mean - stddev
meanp = plot(mean, title = 'Mean', color = color.new(color.yellow, 0))
bsign = plot(b, title = 'Upper ', color = color.new(color.green, 0), linewidth = 2)
ssign = plot(s2, title = 'Lower ', color = color.new(color.red, 0), linewidth = 2)
//////////////////////////
stil oynamaları yapıldı....PHP Code:// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
// https://creativecommons.org/licenses/by-nc-sa/4.0/
// © BigBeluga
//@version=6
indicator(title="Parabolic SAR Deviation [BigBeluga]", shorttitle="...", overlay=true, max_lines_count = 500, max_labels_count = 500)
// ＩＮＰＵＴＳ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
float start = input.float(0., step = 0.01, group = "SAR")
float increment = input.float(0.01, step = 0.001, group = "SAR")
int maximum = 1
bool prices = input.bool(true, "Signals", group = "SAR")
color col_up = input.color(color.rgb(202, 245, 8), "", inline = "col", group = "SAR")
color col_dn = input.color(color.rgb(10, 219, 242), "", inline = "col", group = "SAR")
float deviation_size = input.float(1.5, "Deviation", step = 0.1, group = "Deviation Levels")
color color_na = color.new(color.black, 100)
color standart_col = chart.fg_color
// }
// ＣＡＬＣＵＬＡＴＩＯＮＳ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
out = ta.sar(start, increment, maximum)
deviation_levels(trend)=>
float dist = ta.sma(high-low, 100)*deviation_size
var lines = array.new<line>(4, line(na))
var labels = array.new<label>(4, label(na))
if trend != trend[1]
for i = 1 to 4
y = trend ? close+dist*i : close-dist*i
line1 = line.new(bar_index, y, bar_index, y, color = standart_col)
label1 = label.new(bar_index, y, str.tostring(i), style = label.style_label_right, color = color_na, textcolor = standart_col)
labels.push(label1)
lines.push(line1)
if lines.size() > 4
line.delete(lines.shift())
label.delete(labels.shift())
bool trend = close > out
bool trend_up = ta.crossover(close, out) and barstate.isconfirmed
bool trend_dn = ta.crossunder(close, out) and barstate.isconfirmed
color trend_col = trend ? col_up : col_dn
// }
// ＰＬＯＴ ――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――{
if prices
if trend_up
label.new(bar_index, out, "▲\n" + str.tostring(close, "#,###.####"), style=label.style_label_up, textcolor = trend_col, color = color_na)
if trend_dn
label.new(bar_index, out, str.tostring(close, "#,###.####") + "\n▼", style=label.style_label_down, textcolor = trend_col, color = color_na)
deviation_levels(trend)
//pp = plot(hl2, editable = false, display = display.none)
po = plot(trend != trend[1] ? na : out, "SAR-Sinyal", color=trend_col, style = plot.style_linebr, linewidth = 2)
//@version=6
start1 = input(0.)
increment1 = input(0.01)
maximum1 = input(0.2, "Max Value")
//-------------------------------------------------------------------------------------
// SAR calculation for the chart's main timeframe
//-------------------------------------------------------------------------------------
out1 = ta.sar(start1, increment1, maximum1)
plot_color = close > out1 ? color.rgb(5, 182, 64) : close < out ? color.rgb(169, 7, 7) : na
//-------------------------------------------------------------------------------------
// Table settings
//-------------------------------------------------------------------------------------
show_header = input(false, title="Show header?", group='Table Settings')
dashboard_position = input.string("Middle right", title="Position", options=["Top right", "Bottom right", "Top left", "Bottom left", "Top center", "Bottom center", "Middle right"], group='Table Settings')
text_size = input.string('Normal', title="Size", options=["Tiny", "Small", "Normal", "Large"], group='Table Settings')
text_color = input.color(color.rgb(11, 68, 224), title="Text color", group='Table Settings')
table_color = input.color(color.purple, title="Border color", group='Table Settings')
//uptrend_indicator = input.string("🔵", title="Uptrend indicator", group='Table Settings')
//downtrend_indicator = input.string("🟠", title="Downtrend indicator", group='Table Settings')
uptrend_indicator = "🔵"
downtrend_indicator = "🟠"
//--------------------------------------------------------------------------------------
// Timeframe settings
// User selects 10 different timeframes
//--------------------------------------------------------------------------------------
tf1 = input.timeframe("1", title="Timeframe 1")
tf2 = input.timeframe("3", title="Timeframe 2")
tf3 = input.timeframe("5", title="Timeframe 3")
tf4 = input.timeframe("10", title="Timeframe 4")
tf5 = input.timeframe("15", title="Timeframe 5")
tf6 = input.timeframe("30", title="Timeframe 6")
tf7 = input.timeframe("60", title="Timeframe 7")
tf8 = input.timeframe("120", title="Timeframe 8")
tf9 = input.timeframe("240", title="Timeframe 9")
tf10 = input.timeframe("D", title="Timeframe 10")
//--------------------------------------------------------------------------------------
// Table positioning and sizing
//--------------------------------------------------------------------------------------
var table_position = dashboard_position == 'Top right' ? position.top_right :
dashboard_position == 'Top left' ? position.top_left :
dashboard_position == 'Top center' ? position.top_center :
dashboard_position == 'Bottom right' ? position.bottom_right :
dashboard_position == 'Bottom left' ? position.bottom_left :
dashboard_position == 'Bottom center' ? position.bottom_center :
dashboard_position == 'Middle right' ? position.middle_right : position.middle_right
var table_text_size = text_size == 'Normal' ? size.normal :
text_size == 'Large' ? size.large :
text_size == 'Tiny' ? size.tiny :
text_size == 'Small' ? size.small : size.normal
var t = table.new(position=table_position, columns=3, rows=20, frame_color=#cdcbcb, frame_width=5, border_color=table_color, border_width=1,bgcolor =color.rgb(21, 21, 21) )
//--------------------------------------------------------------------------------------
// Function to determine trend status
//--------------------------------------------------------------------------------------
get_trend_status(trend_value) =>
is_uptrend = close > trend_value
candle_now = is_uptrend ? uptrend_indicator : downtrend_indicator
candle_now
//--------------------------------------------------------------------------------------
// Calculate trend and SAR value for all selected timeframes
//--------------------------------------------------------------------------------------
sar_1 = request.security(syminfo.tickerid, tf1, ta.sar(start, increment, maximum))
sar_2 = request.security(syminfo.tickerid, tf2, ta.sar(start, increment, maximum))
sar_3 = request.security(syminfo.tickerid, tf3, ta.sar(start, increment, maximum))
sar_4 = request.security(syminfo.tickerid, tf4, ta.sar(start, increment, maximum))
sar_5 = request.security(syminfo.tickerid, tf5, ta.sar(start, increment, maximum))
sar_6 = request.security(syminfo.tickerid, tf6, ta.sar(start, increment, maximum))
sar_7 = request.security(syminfo.tickerid, tf7, ta.sar(start, increment, maximum))
sar_8 = request.security(syminfo.tickerid, tf8, ta.sar(start, increment, maximum))
sar_9 = request.security(syminfo.tickerid, tf9, ta.sar(start, increment, maximum))
sar_10 = request.security(syminfo.tickerid, tf10, ta.sar(start, increment, maximum))
trend_indicator_1 = get_trend_status(sar_1)
trend_indicator_2 = get_trend_status(sar_2)
trend_indicator_3 = get_trend_status(sar_3)
trend_indicator_4 = get_trend_status(sar_4)
trend_indicator_5 = get_trend_status(sar_5)
trend_indicator_6 = get_trend_status(sar_6)
trend_indicator_7 = get_trend_status(sar_7)
trend_indicator_8 = get_trend_status(sar_8)
trend_indicator_9 = get_trend_status(sar_9)
trend_indicator_10 = get_trend_status(sar_10)
if tf1 == "60"
tf1 := "1H"
if tf1 == "120"
tf1 := "2H"
if tf1 == "180"
tf1 := "3H"
if tf1 == "240"
tf1 := "4H"
if tf2 == "60"
tf2 := "1H"
if tf2 == "120"
tf2 := "2H"
if tf2 == "180"
tf2 := "3H"
if tf2 == "240"
tf2 := "4H"
if tf3 == "60"
tf3 := "1H"
if tf3 == "120"
tf3 := "2H"
if tf3 == "180"
tf3 := "3H"
if tf3 == "240"
tf3 := "4H"
if tf4 == "60"
tf4 := "1H"
if tf4 == "120"
tf4 := "2H"
if tf4 == "180"
tf4 := "3H"
if tf4 == "240"
tf4 := "4H"
if tf5 == "60"
tf5 := "1H"
if tf5 == "120"
tf5 := "2H"
if tf5 == "180"
tf5 := "3H"
if tf5 == "240"
tf5 := "4H"
if tf6 == "60"
tf6 := "1H"
if tf6 == "120"
tf6 := "2H"
if tf6 == "180"
tf6 := "3H"
if tf6 == "240"
tf6 := "4H"
if tf7 == "60"
tf7 := "1H"
if tf7 == "120"
tf7 := "2H"
if tf7 == "180"
tf7 := "3H"
if tf7 == "240"
tf7 := "4H"
if tf8 == "60"
tf8 := "1H"
if tf8 == "120"
tf8 := "2H"
if tf8 == "180"
tf8 := "3H"
if tf8 == "240"
tf8 := "4H"
if tf9 == "60"
tf9 := "1H"
if tf9 == "120"
tf9 := "2H"
if tf9 == "180"
tf9 := "3H"
if tf9 == "240"
tf9 := "4H"
if tf10 == "60"
tf10 := "1H"
if tf10 == "120"
tf10 := "2H"
if tf10 == "180"
tf10 := "3H"
if tf10 == "240"
tf10 := "4H"
//---------------------------------------------------------------------------------------------
// Update table with trend data
//---------------------------------------------------------------------------------------------
if (barstate.islast)
table.cell(t, 0, 1, tf1, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 1, text="●", text_color=trend_indicator_1==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 1, str.tostring(sar_1, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 2, tf2, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 2, text="●", text_color=trend_indicator_2==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 2, str.tostring(sar_2, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 3, tf3, text_color=color.white, text_size=table_text_size,bgcolor= color.rgb(21, 21, 21))
table.cell(t, 1, 3, text="●", text_color=trend_indicator_3==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 3, str.tostring(sar_3, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 4, tf4, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 4, text="●", text_color=trend_indicator_4==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 4, str.tostring(sar_4, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 5, tf5, text_color=color.white, text_size=table_text_size, bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 5, text="●", text_color=trend_indicator_5==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 5, str.tostring(sar_5, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 6, tf6, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 6, text="●", text_color=trend_indicator_6==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 6, str.tostring(sar_6, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 7, tf7, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 7, text="●", text_color=trend_indicator_7==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 7, str.tostring(sar_7, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 8, tf8, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 8, text="●", text_color=trend_indicator_8==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 8, str.tostring(sar_8, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 9, tf9, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 9, text="●", text_color=trend_indicator_9==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 9, str.tostring(sar_9, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 0, 10, tf10, text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t, 1, 10, text="●", text_color=trend_indicator_10==uptrend_indicator?color.lime:color.red,text_size = size.large)
table.cell(t, 2, 10, str.tostring(sar_10, "#.##"), text_color=color.white, text_size=table_text_size,bgcolor = color.rgb(21, 21, 21))
table.cell(t,0,0,"Periyot",text_color = color.white,bgcolor = color.rgb(21, 21, 21))
table.cell(t,1,0,"Trend",text_color = color.white,bgcolor = color.rgb(21, 21, 21))
table.cell(t,2,0,"Fiyat",text_color = color.white,bgcolor = color.rgb(21, 21, 21))
lookback = input.int(5, "Line Lookback Period", minval=1)
//@version=6
start3 = input(0.0)
increment3 = input(0.01)
maximum3 = input(0.2)
s1 = ta.sar(start3, increment3, maximum3)
lookBack1 = input(20)
//
multi = input.float(2, title = 'Multiplier', minval = 0.001, maxval = 2)
mean = ta.ema(s1, lookBack1)
stddev = multi * ta.stdev(s1, lookBack1)
b = mean + stddev
s2 = mean - stddev
meanp = plot(mean, title = 'OrtaKanal', color = color.new(color.fuchsia, 0))
bsign = plot(b, title = 'ÜstKanal ', color = color.new(color.green, 0), linewidth = 2)
ssign = plot(s2, title = 'AltKanal ', color = color.new(color.red, 0), linewidth = 2)
//////////////////////////
son tasarımla beraber...önceki tasarım birleşiminden görüntüler....
btc örnek....
https://www.tradingview.com/x/BzDgH9wN/
https://www.tradingview.com/x/sTk7kCF5/
https://www.tradingview.com/x/d8VLIkwf/
https://www.tradingview.com/x/DDXdapO2/
https://www.tradingview.com/x/drG63HCC/