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Perp Imbalance Zones • Pro (clean)USD Premium (perp vs spot) → (Perp − Spot) / Spot. Imbalance (z-score of that premium) → how extreme the current premium is relative to its own history over lenPrem bars. Hysteresis state machine → flips to a SHORT bias when perp-long pressure is extreme; flips to LONG bias when perp-short pressure is extreme. It exits only after the imbalance cools (prevents whipsaw). Price stretch filter (±σ) → optional Bollinger check so signals only fire when price is already stretched. HTF confirmation (optional) → require higher-timeframe imbalance to agree with the current-TF bias. Gradient visuals → line + background tint deepen as |z| grows (more extreme pressure). What you see on the pane A single line (z): Above 0 = perp richer than spot (perp longs pressing). Below 0 = perp cheaper than spot (perp shorts pressing). Guides: dotted levels at ±enterZ (entry) and ±exitZ (cool-off/exit). Background tint: Red when state = SHORT bias (perp longs heavy). Blue when state = LONG bias (perp shorts heavy). Tint intensity scales with |z| (via hotZ). Labels (optional): prints when bias flips. Alerts (optional): “Enter SHORT/LONG bias” and “Exit bias”. How to use it (playbook) Attach & set symbols Put the script on your chart. Set Spot symbol and Perp symbol to the venue you trade (e.g., BINANCE:BTCUSDT + BINANCE:BTCUSDTPERP). Read the bias SHORT bias (red background): perp longs over-extended. Look for short entries if price is at resistance, σ-stretched, or your PA system agrees. LONG bias (blue background): perp shorts over-extended. Look for long entries at support/σ-stretched down. Entries Use the bias flip as a context/confirm. Combine with your structure trigger (OB/level sweep, rejection wick, micro-break in market structure, etc.). If useSigma=true, only trade when price is already ≥ upper band (shorts) or ≤ lower band (longs). Exits Bias auto-exits when |z| falls below exitZ. You can also take profits at your levels or when the line fades back toward 0 while price mean-reverts to the middle band. Tuning (what each knob does) enterZ / exitZ (signal strictness + hysteresis) Higher enterZ → fewer, cleaner signals (e.g., 1.8–2.2). exitZ should be lower than enterZ (e.g., 0.6–1.0) to prevent flicker. lenPrem (context window for z) Larger (50–100) = steadier baseline, fewer signals. Smaller (20–30) = more reactive, more signals. smoothLen (EMA on z) 2–3 = snappier; 5–7 = smoother/laggier but cleaner. useSigma, bbLen, bbK (price-stretch filter) On filters chop. Try bbLen=100, bbK=1.0–1.5. Off if you want more frequent signals or you already gate with your own σ/Keltner. useHTF, htfTF, htfZmin (trend/confirmation) Turn on to require higher-TF imbalance agreement (e.g., trading 1H → confirm with 4H htfTF=240, htfZmin≈0.6–1.0). hotZ (visual intensity) Lower (2.0–2.5) heats up faster; higher (4.0) is more subtle. Ready-made presets Conservative swing (fewer, higher-conviction): enterZ=2.0, exitZ=1.0, lenPrem=60–80, smoothLen=5, useSigma=true, bbK=1.5, useHTF=true (240/0.8). Balanced intraday (default feel): enterZ=1.6–1.8, exitZ=0.8–1.0, lenPrem=50, smoothLen=3–4, useSigma=true, bbK=1.0–1.25, useHTF=false/true depending on trendiness. Aggressive scalping (more signals): enterZ=1.2–1.4, exitZ=0.6–0.8, lenPrem=20–30, smoothLen=2–3, useSigma=false, useHTF=false. Practical tips Don’t trade the line in isolation. Use it to time trades into your levels: VWAP bands, Monday high/low, prior POC/VAH/VAL, order blocks, etc. Perp-led reversals often snap—be ready to scale out quickly back to mid-bands. Venue matters. Keep spot & perp from the same exchange family to avoid cross-venue quirks. Alerts: enable after you’ve tuned thresholds for your timeframe so you only get high-quality pings.
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Engulfing Candles Tarama// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © dipavcisi0007 //@version=5 indicator('Engulfing Candles Tarama', overlay=true) longer = ta.sma(close, 50) short = ta.sma(close, 20) length1 = input(14) price = close length = input.int(20, minval=1) ad = close == high and close == low or high == low ? 0 : (close - open) / (high - low) * volume //ad = close==high and close==low or high==low ? 0 : ((2*close-low-high)/(high-low))*volume mf = math.sum(ad, length) / math.sum(volume, length) crsis = mf openBarCurrent1 = open closeBarCurrent1 = close highBarCurrent1 = high lowBarCurrent1 = low volumeBarCurrent1 = volume topvolumeBarCurrent1 = math.sum(volume , 50) / 50 BarOran1 = (closeBarCurrent1 - openBarCurrent1) / (highBarCurrent1 - lowBarCurrent1) //BarOran1=(2*closeBarCurrent1-lowBarCurrent1-highBarCurrent1)/(highBarCurrent1-lowBarCurrent1) openBarCurrent2 = open closeBarCurrent2 = close highBarCurrent2 = high lowBarCurrent2 = low volumeBarCurrent2 = volume topvolumeBarCurrent2 = math.sum(volume , 50) / 50 BarOran2 = (closeBarCurrent2 - openBarCurrent2) / (highBarCurrent2 - lowBarCurrent2) //BarOran2=(2*closeBarCurrent2-lowBarCurrent2-highBarCurrent2)/(highBarCurrent2-lowBarCurrent2) openBarCurrent3 = open closeBarCurrent3 = close highBarCurrent3 = high lowBarCurrent3 = low volumeBarCurrent3 = volume topvolumeBarCurrent3 = math.sum(volume , 50) / 50 BarOran3 = (closeBarCurrent3 - openBarCurrent3) / (highBarCurrent3 - lowBarCurrent3) //BarOran3=(2*closeBarCurrent3-lowBarCurrent3-highBarCurrent3)/(highBarCurrent3-lowBarCurrent3) cmi = 0.15 oran = 0.90 katsayi = 1.05 stoporan = 1 length2 = input(14) price1 = close vrsi = ta.rsi(price1, length2) //If current bar open is less than equal to the previous bar close AND current bar open is less than previous bar open AND current bar close is greater than previous bar open THEN True bullishEngulfing1 = BarOran1 > oran and BarOran1 * volumeBarCurrent1 > topvolumeBarCurrent1 * katsayi and crsis > cmi and close > highBarCurrent1 //If current bar open is greater than equal to previous bar close AND current bar open is greater than previous bar open AND current bar close is less than previous bar open THEN True bullishEngulfing2 = BarOran2 > oran and BarOran2 * volumeBarCurrent2 > topvolumeBarCurrent2 * katsayi and crsis > cmi and close > highBarCurrent2 //If current bar open is greater than equal to previous bar close AND current bar open is greater than previous bar open AND current bar close is less than previous bar open THEN True bullishEngulfing3 = BarOran3 > oran and BarOran3 * volumeBarCurrent3 > topvolumeBarCurrent3 * katsayi and crsis > cmi and close > highBarCurrent3 var K1 = 0.0 res = input.timeframe(title='Time Frame', defval='D') if bullishEngulfing1 K1 := lowBarCurrent1 else if bullishEngulfing2 K1 := lowBarCurrent2 else if bullishEngulfing3 K1 := lowBarCurrent3 plot(K1, linewidth=2, color=color.new(color.purple, 0), title='TSL') //bullishEngulfing/bearishEngulfing return a value of 1 or 0; if 1 then plot on chart, if 0 then don't plot plotshape(bullishEngulfing1 or bullishEngulfing2 or bullishEngulfing3, style=shape.triangleup, location=location.belowbar, color=color.new(#43A047, 0), size=size.tiny) //////////////////////// grupSec = input.string(defval='1', options= , group='Taraması yapılacak 40\'arlı gruplardan birini seçin', title='Grup seç') per = input.timeframe(defval='', title='PERİYOT',group = "Tarama yapmak istediğiniz periyotu seçin") func() => cond = bullishEngulfing1 or bullishEngulfing2 or bullishEngulfing3 //GRUP VE TARANACAK HİSSE SAYISINI AYNI ŞEKİLDE DİLEDİĞİNİZ GİBİ ARTIRABİLİRSİNİZ. a01 = grupSec == '1' ? 'BIST:A1CAP' : grupSec == '2' ? 'BIST:ANSGR' : grupSec == '3' ? 'BIST:BEYAZ' : grupSec == '4' ? 'BIST:CEMZY' : grupSec == '5' ? 'BIST:DURKN' : grupSec == '6' ? 'BIST:EUYO' : grupSec == '7' ? 'BIST:HALKB' : grupSec == '8' ? 'BIST:ISGYO' : grupSec == '9' ? 'BIST:KOPOL' : grupSec == '10' ? 'BIST:MARKA' : grupSec == '11' ? 'BIST:ONCSM' : grupSec == '12' ? 'BIST:POLTK' : grupSec == '13' ? 'BIST:SISE' : grupSec == '14' ? 'BIST:TOASO' : grupSec == '15' ? 'BIST:YBTAS' : na a02 = grupSec == '1' ? 'BIST:ACSEL' : grupSec == '2' ? 'BIST:ARASE' : grupSec == '3' ? 'BIST:BFREN' : grupSec == '4' ? 'BIST:CEOEM' : grupSec == '5' ? 'BIST:DYOBY' : grupSec == '6' ? 'BIST:EYGYO' : grupSec == '7' ? 'BIST:HATEK' : grupSec == '8' ? 'BIST:ISKPL' : grupSec == '9' ? 'BIST:KORDS' : grupSec == '10' ? 'BIST:MARTI' : grupSec == '11' ? 'BIST:ONRYT' : grupSec == '12' ? 'BIST:PRDGS' : grupSec == '13' ? 'BIST:SKBNK' : grupSec == '14' ? 'BIST:TRCAS' : grupSec == '15' ? 'BIST:YEOTK' : na a03 = grupSec == '1' ? 'BIST:ADEL' : grupSec == '2' ? 'BIST:ARCLK' : grupSec == '3' ? 'BIST:BIENY' : grupSec == '4' ? 'BIST:CIMSA' : grupSec == '5' ? 'BIST:DZGYO' : grupSec == '6' ? 'BIST:FADE' : grupSec == '7' ? 'BIST:HATSN' : grupSec == '8' ? 'BIST:ISKUR' : grupSec == '9' ? 'BIST:KOTON' : grupSec == '10' ? 'BIST:MAVI' : grupSec == '11' ? 'BIST:ORCAY' : grupSec == '12' ? 'BIST:PRKAB' : grupSec == '13' ? 'BIST:SKTAS' : grupSec == '14' ? 'BIST:TRGYO' : grupSec == '15' ? 'BIST:YESIL' : na a04 = grupSec == '1' ? 'BIST:ADESE' : grupSec == '2' ? 'BIST:ARDYZ' : grupSec == '3' ? 'BIST:BIGCH' : grupSec == '4' ? 'BIST:CLEBI' : grupSec == '5' ? 'BIST:EBEBK' : grupSec == '6' ? 'BIST:FENER' : grupSec == '7' ? 'BIST:HDFGS' : grupSec == '8' ? 'BIST:ISMEN' : grupSec == '9' ? 'BIST:KOZAA' : grupSec == '10' ? 'BIST:MEDTR' : grupSec == '11' ? 'BIST:ORGE' : grupSec == '12' ? 'BIST:PRKME' : grupSec == '13' ? 'BIST:SKYLP' : grupSec == '14' ? 'BIST:TRILC' : grupSec == '15' ? 'BIST:YGGYO' : na a05 = grupSec == '1' ? 'BIST:ADGYO' : grupSec == '2' ? 'BIST:ARENA' : grupSec == '3' ? 'BIST:BIMAS' : grupSec == '4' ? 'BIST:CMBTN' : grupSec == '5' ? 'BIST:ECILC' : grupSec == '6' ? 'BIST:FLAP' : grupSec == '7' ? 'BIST:HEDEF' : grupSec == '8' ? 'BIST:ISSEN' : grupSec == '9' ? 'BIST:KOZAL' : grupSec == '10' ? 'BIST:MEGAP' : grupSec == '11' ? 'BIST:ORMA' : grupSec == '12' ? 'BIST:PRZMA' : grupSec == '13' ? 'BIST:SKYMD' : grupSec == '14' ? 'BIST:TSGYO' : grupSec == '15' ? 'BIST:YGYO' : na a06 = grupSec == '1' ? 'BIST:AEFES' : grupSec == '2' ? 'BIST:ARSAN' : grupSec == '3' ? 'BIST:BINBN' : grupSec == '4' ? 'BIST:CMENT' : grupSec == '5' ? 'BIST:ECZYT' : grupSec == '6' ? 'BIST:FMIZP' : grupSec == '7' ? 'BIST:HEKTS' : grupSec == '8' ? 'BIST:ISYAT' : grupSec == '9' ? 'BIST:KRDMA' : grupSec == '10' ? 'BIST:MEGMT' : grupSec == '11' ? 'BIST:OSMEN' : grupSec == '12' ? 'BIST:PSDTC' : grupSec == '13' ? 'BIST:SMART' : grupSec == '14' ? 'BIST:TSKB' : grupSec == '15' ? 'BIST:YIGIT' : na a07 = grupSec == '1' ? 'BIST:AFYON' : grupSec == '2' ? 'BIST:ARTMS' : grupSec == '3' ? 'BIST:BINHO' : grupSec == '4' ? 'BIST:CONSE' : grupSec == '5' ? 'BIST:EDATA' : grupSec == '6' ? 'BIST:FONET' : grupSec == '7' ? 'BIST:HKTM' : grupSec == '8' ? 'BIST:IZENR' : grupSec == '9' ? 'BIST:KRDMB' : grupSec == '10' ? 'BIST:MEKAG' : grupSec == '11' ? 'BIST:OSTIM' : grupSec == '12' ? 'BIST:PSGYO' : grupSec == '13' ? 'BIST:SMRTG' : grupSec == '14' ? 'BIST:TSPOR' : grupSec == '15' ? 'BIST:YKBNK' : na a08 = grupSec == '1' ? 'BIST:AGESA' : grupSec == '2' ? 'BIST:ARZUM' : grupSec == '3' ? 'BIST:BIOEN' : grupSec == '4' ? 'BIST:COSMO' : grupSec == '5' ? 'BIST:EDIP' : grupSec == '6' ? 'BIST:FORMT' : grupSec == '7' ? 'BIST:HLGYO' : grupSec == '8' ? 'BIST:IZFAS' : grupSec == '9' ? 'BIST:KRDMD' : grupSec == '10' ? 'BIST:MEPET' : grupSec == '11' ? 'BIST:OTKAR' : grupSec == '12' ? 'BIST:QNBFK' : grupSec == '13' ? 'BIST:SNGYO' : grupSec == '14' ? 'BIST:TTKOM' : grupSec == '15' ? 'BIST:YKSLN' : na a09 = grupSec == '1' ? 'BIST:AGHOL' : grupSec == '2' ? 'BIST:ASELS' : grupSec == '3' ? 'BIST:BIZIM' : grupSec == '4' ? 'BIST:CRDFA' : grupSec == '5' ? 'BIST:EFORC' : grupSec == '6' ? 'BIST:FORTE' : grupSec == '7' ? 'BIST:HOROZ' : grupSec == '8' ? 'BIST:IZINV' : grupSec == '9' ? 'BIST:KRGYO' : grupSec == '10' ? 'BIST:MERCN' : grupSec == '11' ? 'BIST:OTTO' : grupSec == '12' ? 'BIST:QNBTR' : grupSec == '13' ? 'BIST:SNICA' : grupSec == '14' ? 'BIST:TTRAK' : grupSec == '15' ? 'BIST:YONGA' : na a10 = grupSec == '1' ? 'BIST:AGROT' : grupSec == '2' ? 'BIST:ASGYO' : grupSec == '3' ? 'BIST:BJKAS' : grupSec == '4' ? 'BIST:CRFSA' : grupSec == '5' ? 'BIST:EGEEN' : grupSec == '6' ? 'BIST:FRIGO' : grupSec == '7' ? 'BIST:HRKET' : grupSec == '8' ? 'BIST:IZMDC' : grupSec == '9' ? 'BIST:KRONT' : grupSec == '10' ? 'BIST:MERIT' : grupSec == '11' ? 'BIST:OYAKC' : grupSec == '12' ? 'BIST:QUAGR' : grupSec == '13' ? 'BIST:SNKRN' : grupSec == '14' ? 'BIST:TUCLK' : grupSec == '15' ? 'BIST:YUNSA' : na a11 = grupSec == '1' ? 'BIST:AGYO' : grupSec == '2' ? 'BIST:ASTOR' : grupSec == '3' ? 'BIST:BLCYT' : grupSec == '4' ? 'BIST:CUSAN' : grupSec == '5' ? 'BIST:EGEPO' : grupSec == '6' ? 'BIST:FROTO' : grupSec == '7' ? 'BIST:HTTBT' : grupSec == '8' ? 'BIST:JANTS' : grupSec == '9' ? 'BIST:KRPLS' : grupSec == '10' ? 'BIST:MERKO' : grupSec == '11' ? 'BIST:OYAYO' : grupSec == '12' ? 'BIST:RALYH' : grupSec == '13' ? 'BIST:SNPAM' : grupSec == '14' ? 'BIST:TUKAS' : grupSec == '15' ? 'BIST:YYAPI' : na a12 = grupSec == '1' ? 'BIST:AHGAZ' : grupSec == '2' ? 'BIST:ASUZU' : grupSec == '3' ? 'BIST:BMSCH' : grupSec == '4' ? 'BIST:CVKMD' : grupSec == '5' ? 'BIST:EGGUB' : grupSec == '6' ? 'BIST:FZLGY' : grupSec == '7' ? 'BIST:HUBVC' : grupSec == '8' ? 'BIST:KAPLM' : grupSec == '9' ? 'BIST:KRSTL' : grupSec == '10' ? 'BIST:METRO' : grupSec == '11' ? 'BIST:OYLUM' : grupSec == '12' ? 'BIST:RAYSG' : grupSec == '13' ? 'BIST:SODSN' : grupSec == '14' ? 'BIST:TUPRS' : grupSec == '15' ? 'BIST:YYLGD' : na a13 = grupSec == '1' ? 'BIST:AHSGY' : grupSec == '2' ? 'BIST:ATAGY' : grupSec == '3' ? 'BIST:BMSTL' : grupSec == '4' ? 'BIST:CWENE' : grupSec == '5' ? 'BIST:EGPRO' : grupSec == '6' ? 'BIST:GARAN' : grupSec == '7' ? 'BIST:HUNER' : grupSec == '8' ? 'BIST:KAREL' : grupSec == '9' ? 'BIST:KRTEK' : grupSec == '10' ? 'BIST:METUR' : grupSec == '11' ? 'BIST:OYYAT' : grupSec == '12' ? 'BIST:REEDR' : grupSec == '13' ? 'BIST:SOKE' : grupSec == '14' ? 'BIST:TUREX' : grupSec == '15' ? 'BIST:ZEDUR' : na a14 = grupSec == '1' ? 'BIST:AKBNK' : grupSec == '2' ? 'BIST:ATAKP' : grupSec == '3' ? 'BIST:BNTAS' : grupSec == '4' ? 'BIST:DAGHL' : grupSec == '5' ? 'BIST:EGSER' : grupSec == '6' ? 'BIST:GARFA' : grupSec == '7' ? 'BIST:HURGZ' : grupSec == '8' ? 'BIST:KARSN' : grupSec == '9' ? 'BIST:KRVGD' : grupSec == '10' ? 'BIST:MGROS' : grupSec == '11' ? 'BIST:OZATD' : grupSec == '12' ? 'BIST:RGYAS' : grupSec == '13' ? 'BIST:SOKM' : grupSec == '14' ? 'BIST:TURGG' : grupSec == '15' ? 'BIST:ZOREN' : na a15 = grupSec == '1' ? 'BIST:AKCNS' : grupSec == '2' ? 'BIST:ATATP' : grupSec == '3' ? 'BIST:BOBET' : grupSec == '4' ? 'BIST:DAGI' : grupSec == '5' ? 'BIST:EKGYO' : grupSec == '6' ? 'BIST:GEDIK' : grupSec == '7' ? 'BIST:ICBCT' : grupSec == '8' ? 'BIST:KARTN' : grupSec == '9' ? 'BIST:KSTUR' : grupSec == '10' ? 'BIST:MHRGY' : grupSec == '11' ? 'BIST:OZGYO' : grupSec == '12' ? 'BIST:RNPOL' : grupSec == '13' ? 'BIST:SONME' : grupSec == '14' ? 'BIST:TURSG' : grupSec == '15' ? 'BIST:ZRGYO' : na a16 = grupSec == '1' ? 'BIST:AKENR' : grupSec == '2' ? 'BIST:ATEKS' : grupSec == '3' ? 'BIST:BORLS' : grupSec == '4' ? 'BIST:DAPGM' : grupSec == '5' ? 'BIST:EKIZ' : grupSec == '6' ? 'BIST:GEDZA' : grupSec == '7' ? 'BIST:ICUGS' : grupSec == '8' ? 'BIST:KARYE' : grupSec == '9' ? 'BIST:KTLEV' : grupSec == '10' ? 'BIST:MIATK' : grupSec == '11' ? 'BIST:OZKGY' : grupSec == '12' ? 'BIST:RODRG' : grupSec == '13' ? 'BIST:SRVGY' : grupSec == '14' ? 'BIST:UFUK' : grupSec == '15' ? 'BIST:AKFIS' :na a17 = grupSec == '1' ? 'BIST:AKFGY' : grupSec == '2' ? 'BIST:ATLAS' : grupSec == '3' ? 'BIST:BORSK' : grupSec == '4' ? 'BIST:DARDL' : grupSec == '5' ? 'BIST:EKOS' : grupSec == '6' ? 'BIST:GENIL' : grupSec == '7' ? 'BIST:IDGYO' : grupSec == '8' ? 'BIST:KATMR' : grupSec == '9' ? 'BIST:KTSKR' : grupSec == '10' ? 'BIST:MMCAS' : grupSec == '11' ? 'BIST:OZRDN' : grupSec == '12' ? 'BIST:ROYAL' : grupSec == '13' ? 'BIST:SUMAS' : grupSec == '14' ? 'BIST:ULAS' : grupSec == '15' ? 'BIST:ARMGD': na a18 = grupSec == '1' ? 'BIST:AKFYE' : grupSec == '2' ? 'BIST:ATSYH' : grupSec == '3' ? 'BIST:BOSSA' : grupSec == '4' ? 'BIST:DCTTR' : grupSec == '5' ? 'BIST:EKSUN' : grupSec == '6' ? 'BIST:GENTS' : grupSec == '7' ? 'BIST:IEYHO' : grupSec == '8' ? 'BIST:KAYSE' : grupSec == '9' ? 'BIST:KUTPO' : grupSec == '10' ? 'BIST:MNDRS' : grupSec == '11' ? 'BIST:OZSUB' : grupSec == '12' ? 'BIST:RTALB' : grupSec == '13' ? 'BIST:SUNTK' : grupSec == '14' ? 'BIST:ULKER' : grupSec == '15' ? 'BIST:BALSU': na a19 = grupSec == '1' ? 'BIST:AKGRT' : grupSec == '2' ? 'BIST:AVGYO' : grupSec == '3' ? 'BIST:BRISA' : grupSec == '4' ? 'BIST:DENGE' : grupSec == '5' ? 'BIST:ELITE' : grupSec == '6' ? 'BIST:GEREL' : grupSec == '7' ? 'BIST:IHAAS' : grupSec == '8' ? 'BIST:KBORU' : grupSec == '9' ? 'BIST:KUVVA' : grupSec == '10' ? 'BIST:MNDTR' : grupSec == '11' ? 'BIST:OZYSR' : grupSec == '12' ? 'BIST:RUBNS' : grupSec == '13' ? 'BIST:SURGY' : grupSec == '14' ? 'BIST:ULUFA' : grupSec == '15' ? 'BIST:BESLR':na a20 = grupSec == '1' ? 'BIST:AKMGY' : grupSec == '2' ? 'BIST:AVHOL' : grupSec == '3' ? 'BIST:BRKO' : grupSec == '4' ? 'BIST:DERHL' : grupSec == '5' ? 'BIST:EMKEL' : grupSec == '6' ? 'BIST:GESAN' : grupSec == '7' ? 'BIST:IHEVA' : grupSec == '8' ? 'BIST:KCAER' : grupSec == '9' ? 'BIST:KUYAS' : grupSec == '10' ? 'BIST:MOBTL' : grupSec == '11' ? 'BIST:PAGYO' : grupSec == '12' ? 'BIST:RYGYO' : grupSec == '13' ? 'BIST:SUWEN' : grupSec == '14' ? 'BIST:ULUSE' : grupSec == '15' ? 'BIST:DSTKF': na a21 = grupSec == '1' ? 'BIST:AKSA' : grupSec == '2' ? 'BIST:AVOD' : grupSec == '3' ? 'BIST:BRKSN' : grupSec == '4' ? 'BIST:DERIM' : grupSec == '5' ? 'BIST:EMNIS' : grupSec == '6' ? 'BIST:GIPTA' : grupSec == '7' ? 'BIST:IHGZT' : grupSec == '8' ? 'BIST:KCHOL' : grupSec == '9' ? 'BIST:KZBGY' : grupSec == '10' ? 'BIST:MOGAN' : grupSec == '11' ? 'BIST:PAMEL' : grupSec == '12' ? 'BIST:RYSAS' : grupSec == '13' ? 'BIST:TABGD' : grupSec == '14' ? 'BIST:ULUUN' : grupSec == '15' ? 'BIST:GLRMK': na a22 = grupSec == '1' ? 'BIST:AKSEN' : grupSec == '2' ? 'BIST:AVPGY' : grupSec == '3' ? 'BIST:BRKVY' : grupSec == '4' ? 'BIST:DESA' : grupSec == '5' ? 'BIST:ENERY' : grupSec == '6' ? 'BIST:GLBMD' : grupSec == '7' ? 'BIST:IHLAS' : grupSec == '8' ? 'BIST:KENT' : grupSec == '9' ? 'BIST:KZGYO' : grupSec == '10' ? 'BIST:MPARK' : grupSec == '11' ? 'BIST:PAPIL' : grupSec == '12' ? 'BIST:SAFKR' : grupSec == '13' ? 'BIST:TARKM' : grupSec == '14' ? 'BIST:UMPAS' : grupSec == '15' ? 'BIST:KLYPV': na a23 = grupSec == '1' ? 'BIST:AKSGY' : grupSec == '2' ? 'BIST:AVTUR' : grupSec == '3' ? 'BIST:BRLSM' : grupSec == '4' ? 'BIST:DESPC' : grupSec == '5' ? 'BIST:ENJSA' : grupSec == '6' ? 'BIST:GLCVY' : grupSec == '7' ? 'BIST:IHLGM' : grupSec == '8' ? 'BIST:KERVN' : grupSec == '9' ? 'BIST:LIDER' : grupSec == '10' ? 'BIST:MRGYO' : grupSec == '11' ? 'BIST:PARSN' : grupSec == '12' ? 'BIST:SAHOL' : grupSec == '13' ? 'BIST:TATEN' : grupSec == '14' ? 'BIST:UNLU' :grupSec == '15' ? 'BIST:MOPAS': na a24 = grupSec == '1' ? 'BIST:AKSUE' : grupSec == '2' ? 'BIST:AYCES' : grupSec == '3' ? 'BIST:BRMEN' : grupSec == '4' ? 'BIST:DEVA' : grupSec == '5' ? 'BIST:ENKAI' : grupSec == '6' ? 'BIST:GLRYH' : grupSec == '7' ? 'BIST:IHYAY' : grupSec == '8' ? 'BIST:LIDFA' : grupSec == '10' ? 'BIST:MRSHL' : grupSec == '11' ? 'BIST:PASEU' : grupSec == '12' ? 'BIST:SAMAT' : grupSec == '13' ? 'BIST:TATGD' : grupSec == '14' ? 'BIST:USAK' : grupSec == '15' ? 'BIST:A1YEN': na a25 = grupSec == '1' ? 'BIST:AKYHO' : grupSec == '2' ? 'BIST:AYDEM' : grupSec == '3' ? 'BIST:BRSAN' : grupSec == '4' ? 'BIST:DGATE' : grupSec == '5' ? 'BIST:ENSRI' : grupSec == '6' ? 'BIST:GLYHO' : grupSec == '7' ? 'BIST:IMASM' : grupSec == '8' ? 'BIST:KFEIN' : grupSec == '9' ? 'BIST:LILAK' : grupSec == '10' ? 'BIST:MSGYO' : grupSec == '11' ? 'BIST:PATEK' : grupSec == '12' ? 'BIST:SANEL' : grupSec == '13' ? 'BIST:TAVHL' : grupSec == '14' ? 'BIST:VAKBN' : grupSec == '15' ? 'BIST:BIGEN': na a26 = grupSec == '1' ? 'BIST:ALARK' : grupSec == '2' ? 'BIST:AYEN' : grupSec == '3' ? 'BIST:BRYAT' : grupSec == '4' ? 'BIST:DGGYO' : grupSec == '5' ? 'BIST:ENTRA' : grupSec == '6' ? 'BIST:GMTAS' : grupSec == '7' ? 'BIST:INDES' : grupSec == '8' ? 'BIST:KGYO' : grupSec == '9' ? 'BIST:LINK' : grupSec == '10' ? 'BIST:MTRKS' : grupSec == '11' ? 'BIST:PCILT' : grupSec == '12' ? 'BIST:SANFM' : grupSec == '13' ? 'BIST:TBORG' : grupSec == '14' ? 'BIST:VAKFN' : grupSec == '15' ? 'BIST:BULGS': na a27 = grupSec == '1' ? 'BIST:ALBRK' : grupSec == '2' ? 'BIST:AYES' : grupSec == '3' ? 'BIST:BSOKE' : grupSec == '4' ? 'BIST:DGNMO' : grupSec == '5' ? 'BIST:EPLAS' : grupSec == '6' ? 'BIST:GOKNR' : grupSec == '7' ? 'BIST:INFO' : grupSec == '8' ? 'BIST:KIMMR' : grupSec == '9' ? 'BIST:LKMNH' : grupSec == '10' ? 'BIST:MTRYO' : grupSec == '11' ? 'BIST:PEHOL' : grupSec == '12' ? 'BIST:SANKO' : grupSec == '13' ? 'BIST:TCELL' : grupSec == '14' ? 'BIST:VAKKO' : grupSec == '15' ? 'BIST:CGCAM': na a28 = grupSec == '1' ? 'BIST:ALCAR' : grupSec == '2' ? 'BIST:AYGAZ' : grupSec == '3' ? 'BIST:BTCIM' : grupSec == '4' ? 'BIST:DIRIT' : grupSec == '5' ? 'BIST:ERBOS' : grupSec == '6' ? 'BIST:GOLTS' : grupSec == '7' ? 'BIST:INGRM' : grupSec == '8' ? 'BIST:KLGYO' : grupSec == '9' ? 'BIST:LMKDC' : grupSec == '10' ? 'BIST:MZHLD' : grupSec == '11' ? 'BIST:PEKGY' : grupSec == '12' ? 'BIST:SARKY' : grupSec == '13' ? 'BIST:TCKRC' : grupSec == '14' ? 'BIST:VANGD' : grupSec == '15' ? 'BIST:EGEGY': na a29 = grupSec == '1' ? 'BIST:ALCTL' : grupSec == '2' ? 'BIST:AZTEK' : grupSec == '3' ? 'BIST:BUCIM' : grupSec == '4' ? 'BIST:DITAS' : grupSec == '5' ? 'BIST:ERCB' : grupSec == '6' ? 'BIST:GOODY' : grupSec == '7' ? 'BIST:INTEK' : grupSec == '8' ? 'BIST:KLKIM' : grupSec == '9' ? 'BIST:LOGO' : grupSec == '10' ? 'BIST:NATEN' : grupSec == '11' ? 'BIST:PENGD' : grupSec == '12' ? 'BIST:SASA' : grupSec == '13' ? 'BIST:TDGYO' : grupSec == '14' ? 'BIST:VBTYZ' : grupSec == '15' ? 'BIST:ENDAE':na a30 = grupSec == '1' ? 'BIST:ALFAS' : grupSec == '2' ? 'BIST:BAGFS' : grupSec == '3' ? 'BIST:BURCE' : grupSec == '4' ? 'BIST:DMRGD' : grupSec == '5' ? 'BIST:EREGL' : grupSec == '6' ? 'BIST:GOZDE' : grupSec == '7' ? 'BIST:INTEM' : grupSec == '8' ? 'BIST:KLMSN' : grupSec == '9' ? 'BIST:LRSHO' : grupSec == '10' ? 'BIST:NETAS' : grupSec == '11' ? 'BIST:PENTA' : grupSec == '12' ? 'BIST:SAYAS' : grupSec == '13' ? 'BIST:TEKTU' : grupSec == '14' ? 'BIST:VERTU' : grupSec == '15' ? 'BIST:RUZYE': na a31 = grupSec == '1' ? 'BIST:ALGYO' : grupSec == '2' ? 'BIST:BAHKM' : grupSec == '3' ? 'BIST:BURVA' : grupSec == '4' ? 'BIST:DMSAS' : grupSec == '5' ? 'BIST:ERSU' : grupSec == '6' ? 'BIST:GRNYO' : grupSec == '7' ? 'BIST:INVEO' : grupSec == '8' ? 'BIST:KLNMA' : grupSec == '9' ? 'BIST:LUKSK' : grupSec == '10' ? 'BIST:NIBAS' : grupSec == '11' ? 'BIST:PETKM' : grupSec == '12' ? 'BIST:SDTTR' : grupSec == '13' ? 'BIST:TERA' : grupSec == '14' ? 'BIST:VERUS' : grupSec == '15' ? 'BIST:SERNT': na a32 = grupSec == '1' ? 'BIST:ALKA' : grupSec == '2' ? 'BIST:BAKAB' : grupSec == '3' ? 'BIST:BVSAN' : grupSec == '4' ? 'BIST:DNISI' : grupSec == '5' ? 'BIST:ESCAR' : grupSec == '6' ? 'BIST:GRSEL' : grupSec == '7' ? 'BIST:INVES' : grupSec == '8' ? 'BIST:KLRHO' : grupSec == '9' ? 'BIST:LYDHO' : grupSec == '10' ? 'BIST:NTGAZ' : grupSec == '11' ? 'BIST:PETUN' : grupSec == '12' ? 'BIST:SEGMN' : grupSec == '13' ? 'BIST:TEZOL' : grupSec == '14' ? 'BIST:VESBE' : grupSec == '15' ? 'BIST:SMRVA':na a33 = grupSec == '1' ? 'BIST:ALKIM' : grupSec == '2' ? 'BIST:BALAT' : grupSec == '3' ? 'BIST:BYDNR' : grupSec == '4' ? 'BIST:DOAS' : grupSec == '5' ? 'BIST:ESCOM' : grupSec == '6' ? 'BIST:GRTHO' : grupSec == '7' ? 'BIST:IPEKE' : grupSec == '8' ? 'BIST:KLSER' : grupSec == '9' ? 'BIST:LYDYE' : grupSec == '10' ? 'BIST:NTHOL' : grupSec == '11' ? 'BIST:PGSUS' : grupSec == '12' ? 'BIST:SEGYO' : grupSec == '13' ? 'BIST:TGSAS' : grupSec == '14' ? 'BIST:VESTL' : grupSec == '15' ? 'BIST:VSNMD':na a34 = grupSec == '1' ? 'BIST:ALKLC' : grupSec == '2' ? 'BIST:BANVT' : grupSec == '3' ? 'BIST:CANTE' : grupSec == '4' ? 'BIST:DOBUR' : grupSec == '5' ? 'BIST:ESEN' : grupSec == '6' ? 'BIST:GSDDE' : grupSec == '7' ? 'BIST:ISATR' : grupSec == '8' ? 'BIST:KLSYN' : grupSec == '9' ? 'BIST:MAALT' : grupSec == '10' ? 'BIST:NUGYO' : grupSec == '11' ? 'BIST:PINSU' : grupSec == '12' ? 'BIST:SEKFK' : grupSec == '13' ? 'BIST:THYAO' : grupSec == '14' ? 'BIST:VKFYO' : na a35 = grupSec == '1' ? 'BIST:ALMAD' : grupSec == '2' ? 'BIST:BARMA' : grupSec == '3' ? 'BIST:CASA' : grupSec == '4' ? 'BIST:DOCO' : grupSec == '5' ? 'BIST:ETILR' : grupSec == '6' ? 'BIST:GSDHO' : grupSec == '7' ? 'BIST:ISBIR' : grupSec == '8' ? 'BIST:KMPUR' : grupSec == '9' ? 'BIST:MACKO' : grupSec == '10' ? 'BIST:NUHCM' : grupSec == '11' ? 'BIST:PKART' : grupSec == '12' ? 'BIST:SEKUR' : grupSec == '13' ? 'BIST:TKFEN' : grupSec == '14' ? 'BIST:VKGYO' : na a36 = grupSec == '1' ? 'BIST:ALTNY' : grupSec == '2' ? 'BIST:BASCM' : grupSec == '3' ? 'BIST:CATES' : grupSec == '4' ? 'BIST:DOFER' : grupSec == '5' ? 'BIST:ETYAT' : grupSec == '6' ? 'BIST:GSRAY' : grupSec == '7' ? 'BIST:ISBTR' : grupSec == '8' ? 'BIST:KNFRT' : grupSec == '9' ? 'BIST:MAGEN' : grupSec == '10' ? 'BIST:OBAMS' : grupSec == '11' ? 'BIST:PKENT' : grupSec == '12' ? 'BIST:SELEC' : grupSec == '13' ? 'BIST:TKNSA' : grupSec == '14' ? 'BIST:VKING' : na a37 = grupSec == '1' ? 'BIST:ALVES' : grupSec == '2' ? 'BIST:BASGZ' : grupSec == '3' ? 'BIST:CCOLA' : grupSec == '4' ? 'BIST:DOGUB' : grupSec == '5' ? 'BIST:EUHOL' : grupSec == '6' ? 'BIST:GUBRF' : grupSec == '7' ? 'BIST:ISCTR' : grupSec == '8' ? 'BIST:KOCMT' : grupSec == '9' ? 'BIST:MAKIM' : grupSec == '10' ? 'BIST:OBASE' : grupSec == '11' ? 'BIST:PLTUR' : grupSec == '12' ? 'BIST:SELGD' : grupSec == '13' ? 'BIST:TLMAN' : grupSec == '14' ? 'BIST:VRGYO' : na a38 = grupSec == '1' ? 'BIST:ANELE' : grupSec == '2' ? 'BIST:BAYRK' : grupSec == '3' ? 'BIST:CELHA' : grupSec == '4' ? 'BIST:DOHOL' : grupSec == '5' ? 'BIST:EUKYO' : grupSec == '6' ? 'BIST:GUNDG' : grupSec == '7' ? 'BIST:ISDMR' : grupSec == '8' ? 'BIST:KONKA' : grupSec == '9' ? 'BIST:MAKTK' : grupSec == '10' ? 'BIST:ODAS' : grupSec == '11' ? 'BIST:PNLSN' : grupSec == '12' ? 'BIST:SELVA' : grupSec == '13' ? 'BIST:TMPOL' : grupSec == '14' ? 'BIST:YAPRK' : na a39 = grupSec == '1' ? 'BIST:ANGEN' : grupSec == '2' ? 'BIST:BEGYO' : grupSec == '3' ? 'BIST:CEMAS' : grupSec == '4' ? 'BIST:DOKTA' : grupSec == '5' ? 'BIST:EUPWR' : grupSec == '6' ? 'BIST:GWIND' : grupSec == '7' ? 'BIST:ISFIN' : grupSec == '8' ? 'BIST:KONTR' : grupSec == '9' ? 'BIST:MANAS' : grupSec == '10' ? 'BIST:ODINE' : grupSec == '11' ? 'BIST:PNSUT' : grupSec == '12' ? 'BIST:SEYKM' : grupSec == '13' ? 'BIST:TMSN' : grupSec == '14' ? 'BIST:YATAS' : na a40 = grupSec == '1' ? 'BIST:ANHYT' : grupSec == '2' ? 'BIST:BERA' : grupSec == '3' ? 'BIST:CEMTS' : grupSec == '4' ? 'BIST:DURDO' : grupSec == '5' ? 'BIST:EUREN' : grupSec == '6' ? 'BIST:GZNMI' : grupSec == '7' ? 'BIST:ISGSY' : grupSec == '8' ? 'BIST:KONYA' : grupSec == '9' ? 'BIST:MARBL' : grupSec == '10' ? 'BIST:OFSYM' : grupSec == '11' ? 'BIST:POLHO' : grupSec == '12' ? 'BIST:SILVR' : grupSec == '13' ? 'BIST:TNZTP' : grupSec == '14' ? 'BIST:YAYLA' : na = request.security(a01, per, func()) = request.security(a02, per, func()) = request.security(a03, per, func()) = request.security(a04, per, func()) = request.security(a05, per, func()) = request.security(a06, per, func()) = request.security(a07, per, func()) = request.security(a08, per, func()) = request.security(a09, per, func()) = request.security(a10, per, func()) = request.security(a11, per, func()) = request.security(a12, per, func()) = request.security(a13, per, func()) = request.security(a14, per, func()) = request.security(a15, per, func()) = request.security(a16, per, func()) = request.security(a17, per, func()) = request.security(a18, per, func()) = request.security(a19, per, func()) = request.security(a20, per, func()) = request.security(a21, per, func()) = request.security(a22, per, func()) = request.security(a23, per, func()) = request.security(a24, per, func()) = request.security(a25, per, func()) = request.security(a26, per, func()) = request.security(a27, per, func()) = request.security(a28, per, func()) = request.security(a29, per, func()) = request.security(a30, per, func()) = request.security(a31, per, func()) = request.security(a32, per, func()) = request.security(a33, per, func()) = request.security(a34, per, func()) = request.security(a35, per, func()) = request.security(a36, per, func()) = request.security(a37, per, func()) = request.security(a38, per, func()) = request.security(a39, per, func()) = request.security(a40, per, func()) roundn(x, n) => mult = 1 if n != 0 for i = 1 to math.abs(n) by 1 mult *= 10 mult n >= 0 ? math.round(x * mult) / mult : math.round(x / mult) * mult scr_label = 'TARAMA\n' scr_label := s1 ? scr_label + syminfo.ticker(a01) + ' ' + str.tostring(roundn(v1, 2)) + '\n' : scr_label scr_label := s2 ? scr_label + syminfo.ticker(a02) + ' ' + str.tostring(roundn(v2, 2)) + '\n' : scr_label scr_label := s3 ? scr_label + syminfo.ticker(a03) + ' ' + str.tostring(roundn(v3, 2)) + '\n' : scr_label scr_label := s4 ? scr_label + syminfo.ticker(a04) + ' ' + str.tostring(roundn(v4, 2)) + '\n' : scr_label scr_label := s5 ? scr_label + syminfo.ticker(a05) + ' ' + str.tostring(roundn(v5, 2)) + '\n' : scr_label scr_label := s6 ? scr_label + syminfo.ticker(a06) + ' ' + str.tostring(roundn(v6, 2)) + '\n' : scr_label scr_label := s7 ? scr_label + syminfo.ticker(a07) + ' ' + str.tostring(roundn(v7, 2)) + '\n' : scr_label scr_label := s8 ? scr_label + syminfo.ticker(a08) + ' ' + str.tostring(roundn(v8, 2)) + '\n' : scr_label scr_label := s9 ? scr_label + syminfo.ticker(a09) + ' ' + str.tostring(roundn(v9, 2)) + '\n' : scr_label scr_label := s10 ? scr_label + syminfo.ticker(a10) + ' ' + str.tostring(roundn(v10, 2)) + '\n' : scr_label scr_label := s11 ? scr_label + syminfo.ticker(a11) + ' ' + str.tostring(roundn(v11, 2)) + '\n' : scr_label scr_label := s12 ? scr_label + syminfo.ticker(a12) + ' ' + str.tostring(roundn(v12, 2)) + '\n' : scr_label scr_label := s13 ? scr_label + syminfo.ticker(a13) + ' ' + str.tostring(roundn(v13, 2)) + '\n' : scr_label scr_label := s14 ? scr_label + syminfo.ticker(a14) + ' ' + str.tostring(roundn(v14, 2)) + '\n' : scr_label scr_label := s15 ? scr_label + syminfo.ticker(a15) + ' ' + str.tostring(roundn(v15, 2)) + '\n' : scr_label scr_label := s16 ? scr_label + syminfo.ticker(a16) + ' ' + str.tostring(roundn(v16, 2)) + '\n' : scr_label scr_label := s17 ? scr_label + syminfo.ticker(a17) + ' ' + str.tostring(roundn(v17, 2)) + '\n' : scr_label scr_label := s18 ? scr_label + syminfo.ticker(a18) + ' ' + str.tostring(roundn(v18, 2)) + '\n' : scr_label scr_label := s19 ? scr_label + syminfo.ticker(a19) + ' ' + str.tostring(roundn(v19, 2)) + '\n' : scr_label scr_label := s20 ? scr_label + syminfo.ticker(a20) + ' ' + str.tostring(roundn(v20, 2)) + '\n' : scr_label scr_label := s21 ? scr_label + syminfo.ticker(a21) + ' ' + str.tostring(roundn(v21, 2)) + '\n' : scr_label scr_label := s22 ? scr_label + syminfo.ticker(a22) + ' ' + str.tostring(roundn(v22, 2)) + '\n' : scr_label scr_label := s23 ? scr_label + syminfo.ticker(a23) + ' ' + str.tostring(roundn(v23, 2)) + '\n' : scr_label scr_label := s24 ? scr_label + syminfo.ticker(a24) + ' ' + str.tostring(roundn(v24, 2)) + '\n' : scr_label scr_label := s25 ? scr_label + syminfo.ticker(a25) + ' ' + str.tostring(roundn(v25, 2)) + '\n' : scr_label scr_label := s26 ? scr_label + syminfo.ticker(a26) + ' ' + str.tostring(roundn(v26, 2)) + '\n' : scr_label scr_label := s27 ? scr_label + syminfo.ticker(a27) + ' ' + str.tostring(roundn(v27, 2)) + '\n' : scr_label scr_label := s28 ? scr_label + syminfo.ticker(a28) + ' ' + str.tostring(roundn(v28, 2)) + '\n' : scr_label scr_label := s29 ? scr_label + syminfo.ticker(a29) + ' ' + str.tostring(roundn(v29, 2)) + '\n' : scr_label scr_label := s30 ? scr_label + syminfo.ticker(a30) + ' ' + str.tostring(roundn(v30, 2)) + '\n' : scr_label scr_label := s31 ? scr_label + syminfo.ticker(a31) + ' ' + str.tostring(roundn(v31, 2)) + '\n' : scr_label scr_label := s32 ? scr_label + syminfo.ticker(a32) + ' ' + str.tostring(roundn(v32, 2)) + '\n' : scr_label scr_label := s33 ? scr_label + syminfo.ticker(a33) + ' ' + str.tostring(roundn(v33, 2)) + '\n' : scr_label scr_label := s34 ? scr_label + syminfo.ticker(a34) + ' ' + str.tostring(roundn(v34, 2)) + '\n' : scr_label scr_label := s35 ? scr_label + syminfo.ticker(a35) + ' ' + str.tostring(roundn(v35, 2)) + '\n' : scr_label scr_label := s36 ? scr_label + syminfo.ticker(a36) + ' ' + str.tostring(roundn(v36, 2)) + '\n' : scr_label scr_label := s37 ? scr_label + syminfo.ticker(a37) + ' ' + str.tostring(roundn(v37, 2)) + '\n' : scr_label scr_label := s38 ? scr_label + syminfo.ticker(a38) + ' ' + str.tostring(roundn(v38, 2)) + '\n' : scr_label scr_label := s39 ? scr_label + syminfo.ticker(a39) + ' ' + str.tostring(roundn(v39, 2)) + '\n' : scr_label scr_label := s40 ? scr_label + syminfo.ticker(a40) + ' ' + str.tostring(roundn(v40, 2)) + '\n' : scr_label var panel =table.new(position = position.top_right,columns = 10,rows=10,bgcolor = color.green,frame_color = color.black,border_color = color.red) //lab_1 = label.new(bar_index + loc,50, scr_label, color=color.green, textcolor=color.white, style=label.style_label_center) //label.delete(lab_1 ) if barstate.islast table.cell(panel,0,0,text = str.tostring(scr_label)) if str.length(scr_label) > 8 alert(scr_label,alert.freq_once_per_bar_close) //------------------------------------------------------
Indicador Pine Script®
por ugurkorkmaztr
buy sell ultra systemWhat it is EMA-POC Momentum System Ultra combines a proven trend stack (EMA 20/50/238), a price-of-control layer (POC via Bar-POC or VWAP alternative), and a momentum trigger (RSI) to surface higher-quality entries only when multiple, independent conditions align. This is not a cosmetic mashup; each component gates the others. How components work together Trend (EMA 20/50/238): Defines short/medium/long bias and filters counter-trend signals. POC (Bar-POC or Alt-POC/VWAP): Locates the most-traded/weighted price area; a neutral band around POC helps avoid chop. Control background: Above POC → buyers likely in control; below → sellers. Momentum (RSI): Entry arrows print only when RSI confirms with trend and price location vs POC; optional “cross 50” requirement reduces noise. Optional HTF trend: Confluence with a higher-timeframe EMA stack for stricter filtering. Why it’s original/useful Signals require confluence of (1) EMA trend stack, (2) POC location and neutral-zone filtering, (3) momentum confirmation, (4) optional slope and distance-to-POC checks, and (5) optional HTF trend. This reduces false positives compared with using any layer in isolation. How to use Markets/TFs: Built for XAUUSD (Gold) and US30. Works 1m–1h for intraday; 2h–4h for swing. Entries: Long: EMA stack bullish, price above POC, not in neutral band, RSI condition true → “Buy” arrow. Short: Opposite conditions → “Sell” arrow. Stops/Targets (suggested): Initial stop beyond POC/neutral band or recent swing. First target around 1R; trail with EMA20/50 or structure breaks. Settings to tune: POC Mode: Bar-POC (highest-volume bar’s close over lookback) or Alt-POC (VWAP). Neutral Band %: 0.10–0.35 typical intraday. Min distance from POC: 0.10–0.50% helps avoid low-RR entries right at POC. RSI: Choose “cross 50” for stricter triggers or simple >/< 50 for more signals. HTF trend: Turn on for extra confluence. Alerts: Buy Signal and Sell Signal (separate), or one Combined Buy/Sell alert. Set to “Once per bar close” if you want only confirmed arrows. Repainting / limitations Shapes can move until bar close (standard Pine behavior) when using intrabar conditions; final confirmation at close. No system guarantees profitability—forward test and adapt to your market/instrument. Clean chart The published chart contains only this script so outputs are easy to identify. Versions / updates Use Publish → Update for minor changes; do not create new publications for small tweaks. If you fork to preserve older behavior, explain why and how your fork differs. Changelog v1.1 – Tuning for Gold/US30, neutral-band & distance filters, optional HTF trend, combined alert. v1.0 – Initial public release (EMA stack + POC modes + RSI + alerts). License & credits Open-source for learning and improvement. Please credit on forks and explain modifications in your description.
Indicador Pine Script®
por toondc
Daily Volume Ratio Bands (20MA) Daily Volume Ratio Bands (20MA) — by CryptoDaily This indicator normalizes daily trading volume against the recent 20-day moving average (20MA) and plots it as a volume ratio. It allows traders to quickly identify whether current volume is strong, weak, or within a normal range compared to historical averages. Key Features Normalized volume ratio with 20-day average = baseline (1.0) Clear bands for easy interpretation (1.0 ~ 1.3 = normal, above = overheated, below = weak) Intuitive color coding: 🟨 Yellow: Normal range (1.0 ~ 1.3) 🔵 Blue: Above 1.3× average (high/strong volume, breakout confirmation) ⚪️ Gray: Below average (low volume) 🔴 Red: At or below 0.7× (extremely low volume / lack of interest) How to Use Breakouts with strong volume (Blue) → higher confidence in trend continuation Gray/Red during consolidation → signal of weak momentum or sideways phase Quickly assess whether the market is in overheated or low-activity conditions Notes Designed for Daily timeframe (1D) only. It will not function properly on intraday charts. For educational purposes only. This is not financial advice. Author CryptoDaily (YouTube & TradingView) YouTube channel: cryptodaily_tv
Indicador Pine Script®
por myjjou1006
EMA20 Cross Strategy with countertrades and signalsEMA20 Cross Strategy Documentation Overview The EMA20 Cross Strategy with Counter-Trades and Instant Signals is a Pine Script (version 6) trading strategy designed for the TradingView platform. It implements an Exponential Moving Average (EMA) crossover system to generate buy and sell signals, with optional trend filtering, session-based trading, instant signal processing, and visual/statistical feedback. The strategy supports counter-trades (closing opposing positions before entering new ones) and operates with a fixed trade size in EUR. Features EMA Crossover Mechanism: Uses a short-term EMA (configurable length, default: 1) and a long-term EMA (default: 20) to detect crossovers. A buy signal is generated when the short EMA crosses above the long EMA. A sell signal is generated when the short EMA crosses below the long EMA. Instant Signals: If enabled (useInstantSignals), signals are based on the current price crossing the short EMA, rather than waiting for the candle close. This allows faster trade execution but may increase sensitivity to price fluctuations. Trend Filter: Optionally filters trades based on the trend direction (useTrendFilter). Long trades are allowed only when the short EMA (or price, for instant signals) is above the long EMA. Short trades are allowed only when the short EMA (or price) is below the long EMA. Session Filter: Restricts trading to specific market hours (sessionStart, default: 09:00–17:00) if enabled (useSessionFilter). Ensures trades occur only during active market sessions, reducing exposure to low-liquidity periods. Customizable Timeframe: The EMA calculations can use a higher timeframe (e.g., 5m, 15m, 1H, 4H, 1D, default: 1H) via request.security. This allows the strategy to base signals on longer-term trends while operating on a shorter-term chart. Trade Management: Fixed trade size of €100,000 per trade (tradeAmount), with a maximum quantity cap (maxQty = 10,000) to prevent oversized trades. Counter-trades: Closes short positions before entering a long position and vice versa. Trades are executed with a minimum quantity of 1 to ensure valid orders. Visualization: EMA Lines: The short EMA is colored based on the last signal (green for buy, red for sell, gray for neutral), and the long EMA is orange. Signal Markers: Displays buy/sell signals as arrows (triangles) above/below candles if enabled (showSignalShapes). Background/Candle Coloring: Optionally colors the chart background or candles green (bullish) or red (bearish) based on the trend (useColoredBars). Statistics Display: If enabled (useStats), a label on the chart shows: Total closed trades Open trades Win rate (%) Number of winning/losing trades Profit factor (gross profit / gross loss) Net profit Maximum drawdown Configuration Inputs EMA Short Length (emaLength): Length of the short-term EMA (default: 1). Trend EMA Length (trendLength): Length of the long-term EMA (default: 20). Enable Trend Filter (useTrendFilter): Toggles trend-based filtering (default: true). Color Candles (useColoredBars): Colors candles instead of the background (default: true). Enable Session Filter (useSessionFilter): Restricts trading to specified hours (default: false). Trading Session (sessionStart): Defines trading hours (default: 09:00–17:00). Show Statistics (useStats): Displays performance stats on the chart (default: true). Show Signal Arrows (showSignalShapes): Displays buy/sell signals as arrows (default: true). Use Instant Signals (useInstantSignals): Generates signals based on live price action (default: false). EMA Timeframe (emaTimeframe): Timeframe for EMA calculations (options: 5m, 15m, 1H, 4H, 1D; default: 1H). Strategy Logic Signal Generation: Standard Mode: Signals are based on EMA crossovers (short EMA crossing long EMA) at candle close. Instant Mode: Signals are based on the current price crossing the short EMA, enabling faster reactions. Trade Execution: On a buy signal, closes any short position and opens a long position. On a sell signal, closes any long position and opens a short position. Position size is calculated as the minimum of €100,000 or available equity, divided by the current price, capped at 10,000 units. Filters: Trend Filter: Ensures trades align with the trend direction (if enabled). Session Filter: Restricts trades to user-defined market hours (if enabled). Visual Feedback EMA Lines: Provide a clear view of the short and long EMAs, with the short EMA’s color reflecting the latest signal. Signal Arrows: Large green triangles (buy) below candles or red triangles (sell) above candles for easy signal identification. Chart Coloring: Highlights bullish (green) or bearish (red) trends via background or candle colors. Statistics Label: Displays key performance metrics in a label above the chart for quick reference. Usage Notes Initial Capital: €100,000 (configurable via initial_capital). Currency: EUR (set via currency). Order Processing: Orders are processed at candle close (process_orders_on_close=true) unless instant signals are enabled. Dynamic Requests: Allows dynamic timeframe adjustments for EMA calculations (dynamic_requests=true). Platform: Designed for TradingView, compatible with any market supported by the platform (e.g., stocks, forex, crypto). Example Use Case Scenario: Trading on a 5-minute chart with a 1-hour EMA timeframe, trend filter enabled, and session filter set to 09:00–17:00. Behavior: The strategy will: Calculate EMAs on the 1-hour timeframe. Generate buy signals when the short EMA crosses above the long EMA (and price is above the long EMA). Generate sell signals when the short EMA crosses below the long EMA (and price is below the long EMA). Execute trades only during 09:00–17:00. Display green/red candles and performance stats on the chart. Limitations Instant Signals: May lead to more frequent signals, increasing the risk of false positives in volatile markets. Fixed Trade Size: Does not adjust dynamically based on market conditions beyond equity and max quantity limits. Session Filter: Simplified and may not account for complex session rules or holidays. Statistics: Displayed on-chart, which may clutter the view in smaller charts. Customization Adjust emaLength and trendLength to suit different market conditions (e.g., shorter for scalping, longer for swing trading). Toggle useInstantSignals for faster or more stable signal generation. Modify sessionStart to align with specific market hours. Disable useStats or showSignalShapes for a cleaner chart. This strategy is versatile for both manual and automated trading, offering flexibility for various markets and trading styles while providing clear visual and statistical feedback.
Estratégia Pine Script®
por osterhansi_
SMC Analysis - Fair Value Gaps (Enhanced)SMC Analysis - Fair Value Gaps (Enhanced) Script Summary Overview The "SMC Analysis - Fair Value Gaps (Enhanced)" script, written in Pine Script (version 6), is a technical analysis indicator designed for TradingView to identify and visualize Fair Value Gaps (FVGs) on a price chart. It supports both the main timeframe and multiple higher timeframes (MTF) for comprehensive market analysis. FVGs are price gaps formed by a three-candle pattern, indicating potential areas of market inefficiency where price may return to fill the gap. Key Features FVG Detection: Identifies bullish FVGs: Occur when the high of a candle two bars prior is lower than the low of the current candle, with the middle candle being bullish (close > open). Identifies bearish FVGs: Occur when the low of a candle two bars prior is higher than the high of the current candle, with the middle candle being bearish (close < open). Visualizes FVGs as colored boxes on the chart (green for bullish, red for bearish). Mitigation Tracking: Tracks when FVGs are touched (price overlaps the gap range) or mitigated (price fully closes the gap). Strict Mode: Marks an FVG as mitigated when price touches the gap range. Normal Mode: Requires a full breakthrough (price crossing the gap’s bottom for bullish FVGs or top for bearish FVGs) for mitigation. Optionally converts FVG box borders to dashed lines and increases transparency when partially touched. Multi-Timeframe (MTF) Support: Analyzes FVGs on three user-defined higher timeframes (default: 15m, 60m, 240m). Displays MTF FVGs with distinct labels and slightly more transparent colors. Ensures no duplicate processing of MTF bars to maintain performance. Customization Options: FVG Length: Adjustable duration for how long FVGs are displayed (default: 20 bars). Show/Hide FVGs: Toggle visibility for main timeframe and each MTF. Color Customization: User-defined colors for bullish and bearish FVGs (default: green and red). Display Options: Toggle for showing dashed lines after partial touches and strict mitigation mode. Performance Optimization: Limits the number of displayed boxes (50 for main timeframe, 20 per MTF) to prevent performance issues. Automatically removes older boxes to maintain a clean chart. Functionality Visualization: Draws boxes around detected FVGs, with customizable colors and text labels ("FVG" for main timeframe, "FVG " for MTF). Dynamic Updates: Extends or terminates FVG boxes based on mitigation status and user settings. Efficient Storage: Uses arrays to manage FVG data (boxes, tops, bottoms, indices, mitigation status, and touch status) separately for main and MTF analyses. Use Case This indicator is designed for traders using Smart Money Concepts (SMC) to identify areas of market inefficiency (FVGs) for potential price reversals or continuations. The MTF support allows analysis across different timeframes, aiding in confirming trends or spotting higher-timeframe support/resistance zones.
Indicador Pine Script®
por osterhansi_
Optimized ADX DI CCI Strategy### Key Features: - Combines ADX, DI+/-, CCI, and RSI for signal generation. - Supports customizable timeframes for indicators. - Offers multiple exit conditions (Moving Average cross, ADX change, performance-based stop-loss). - Tracks and displays trade statistics (e.g., win rate, capital growth, profit factor). - Visualizes trades with labels and optional background coloring. - Allows countertrading (opening an opposite trade after closing one). 1. **Indicator Calculation**: - **ADX and DI+/-**: Calculated using the `ta.dmi` function with user-defined lengths for DI and ADX smoothing. - **CCI**: Computed using the `ta.cci` function with a configurable source (default: `hlc3`) and length. - **RSI (optional)**: Calculated using the `ta.rsi` function to filter overbought/oversold conditions. - **Moving Averages**: Used for CCI signal smoothing and trade exits, with support for SMA, EMA, SMMA (RMA), WMA, and VWMA. 2. **Signal Generation**: - **Buy Signal**: Triggered when DI+ > DI- (or DI+ crosses over DI-), CCI > MA (or CCI crosses over MA), and optional ADX/RSI filters are satisfied. - **Sell Signal**: Triggered when DI+ < DI- (or DI- crosses over DI+), CCI < MA (or CCI crosses under MA), and optional ADX/RSI filters are satisfied. 3. **Trade Execution**: - **Entry**: Long or short trades are opened using `strategy.entry` when signals are detected, provided trading is allowed (`allow_long`/`allow_short`) and equity is positive. - **Exit**: Trades can be closed based on: - Opposite signal (if no other exit conditions are used). - MA cross (price crossing below/above the exit MA for long/short trades). - ADX percentage change exceeding a threshold. - Performance-based stop-loss (trade loss exceeding a percentage). - **Countertrading**: If enabled, closing a trade triggers an opposite trade (e.g., closing a long opens a short). 4. **Visualization**: - Labels are plotted at trade entries/exits (e.g., "BUY," "SELL," arrows). - Optional background coloring highlights open trades (green for long, red for short). - A statistics table displays real-time metrics (e.g., capital, win rates). 5. **Trade Tracking**: - Tracks the number of long/short trades, wins, and overall performance. - Monitors equity to prevent trading if it falls to zero. ### 2.3 Key Components - **Indicator Calculations**: Uses `request.security` to fetch indicator data for the specified timeframe. - **MA Function**: A custom `ma_func` handles different MA types for CCI and exit conditions. - **Signal Logic**: Combines crossover/under checks with recent bar windows for flexibility. - **Exit Conditions**: Multiple configurable exit strategies for risk management. - **Statistics Table**: Updates dynamically with trade and capital metrics. ## 3. Configuration Options The script provides extensive customization through input parameters, grouped for clarity in the TradingView settings panel. Below is a detailed breakdown of each setting and its impact. ### 3.1 Strategy Settings (Global) - **Initial Capital**: Default `10000`. Sets the starting capital for backtesting. - **Effect**: Determines the base equity for calculating position sizes and performance metrics. - **Default Quantity Type**: `strategy.percent_of_equity` (50% of equity). - **Effect**: Controls the size of each trade as a percentage of available equity. - **Pyramiding**: Default `2`. Allows up to 2 simultaneous trades in the same direction. - **Effect**: Enables multiple entries if conditions are met, increasing exposure. - **Commission**: 0.2% per trade. - **Effect**: Simulates trading fees, reducing net profit in backtesting. - **Margin**: 100% for long and short trades. - **Effect**: Assumes no leverage; adjust for margin trading simulations. - **Calc on Every Tick**: `true`. - **Effect**: Ensures real-time signal updates for precise execution. ### 3.2 Indicator Settings - **Indicator Timeframe** (`indicator_timeframe`): - **Options**: `""` (chart timeframe), `1`, `5`, `15`, `30`, `60`, `240`, `D`, `W`. - **Default**: `""` (uses chart timeframe). - **Effect**: Determines the timeframe for ADX, DI, CCI, and RSI calculations. A higher timeframe reduces noise but may delay signals. ### 3.3 ADX & DI Settings - **DI Length** (`adx_di_len`): - **Default**: `30`. - **Range**: Minimum `1`. - **Effect**: Sets the period for calculating DI+ and DI-. Longer periods smooth trends but reduce sensitivity. - **ADX Smoothing Length** (`adx_smooth_len`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Smooths the ADX calculation. Longer periods produce smoother ADX values. - **Use ADX Filter** (`use_adx_filter`): - **Default**: `false`. - **Effect**: If `true`, requires ADX to exceed the threshold for signals to be valid, filtering out weak trends. - **ADX Threshold** (`adx_threshold`): - **Default**: `25`. - **Range**: Minimum `0`. - **Effect**: Sets the minimum ADX value for valid signals when the filter is enabled. Higher values restrict trades to stronger trends. ### 3.4 CCI Settings - **CCI Length** (`cci_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for CCI calculation. Longer periods reduce noise but may lag. - **CCI Source** (`cci_src`): - **Default**: `hlc3` (average of high, low, close). - **Effect**: Defines the price data for CCI. `hlc3` is standard, but users can choose other sources (e.g., `close`). - **CCI MA Type** (`ma_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the moving average type for CCI signal smoothing. EMA is more responsive; VWMA weights by volume. - **CCI MA Length** (`ma_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the CCI MA. Longer periods smooth the MA but may delay signals. ### 3.5 RSI Filter Settings - **Use RSI Filter** (`use_rsi_filter`): - **Default**: `false`. - **Effect**: If `true`, applies RSI-based overbought/oversold filters to signals. - **RSI Length** (`rsi_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for RSI calculation. Longer periods reduce sensitivity. - **RSI Lower Limit** (`rsi_lower_limit`): - **Default**: `30`. - **Range**: `0` to `100`. - **Effect**: Defines the oversold threshold for buy signals. Lower values allow trades in more extreme conditions. - **RSI Upper Limit** (`rsi_upper_limit`): - **Default**: `70`. - **Range**: `0` to `100`. - **Effect**: Defines the overbought threshold for sell signals. Higher values allow trades in more extreme conditions. ### 3.6 Signal Settings - **Cross Window** (`cross_window`): - **Default**: `0`. - **Range**: `0` to `5` bars. - **Effect**: Specifies the lookback period for detecting DI+/- or CCI crosses. `0` requires crosses on the current bar; higher values allow recent crosses, increasing signal frequency. - **Allow Long Trades** (`allow_long`): - **Default**: `true`. - **Effect**: Enables/disables new long trades. If `false`, only closing existing longs is allowed. - **Allow Short Trades** (`allow_short`): - **Default**: `true`. - **Effect**: Enables/disables new short trades. If `false`, only closing existing shorts is allowed. - **Require DI+/DI- Cross for Buy** (`buy_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI+ crossover DI- for buy signals; if `false`, DI+ > DI- is sufficient. - **Require CCI Cross for Buy** (`buy_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossover MA for buy signals; if `false`, CCI > MA is sufficient. - **Require DI+/DI- Cross for Sell** (`sell_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI- crossover DI+ for sell signals; if `false`, DI+ < DI- is sufficient. - **Require CCI Cross for Sell** (`sell_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossunder MA for sell signals; if `false`, CCI < MA is sufficient. - **Countertrade** (`countertrade`): - **Default**: `true`. - **Effect**: If `true`, closing a trade triggers an opposite trade (e.g., close long, open short) if allowed. - **Color Background for Open Trades** (`color_background`): - **Default**: `true`. - **Effect**: If `true`, colors the chart background green for long trades and red for short trades. ### 3.7 Exit Settings - **Use MA Cross for Exit** (`use_ma_exit`): - **Default**: `true`. - **Effect**: If `true`, closes trades when the price crosses the exit MA (below for long, above for short). - **MA Length for Exit** (`ma_exit_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the exit MA. Longer periods delay exits. - **MA Type for Exit** (`ma_exit_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the MA type for exit signals. EMA is more responsive; VWMA weights by volume. - **Use ADX Change Stop-Loss** (`use_adx_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the ADX changes by a specified percentage. - **ADX % Change for Stop-Loss** (`adx_change_percent`): - **Default**: `5.0`. - **Range**: Minimum `0.0`, step `0.1`. - **Effect**: Specifies the percentage change in ADX (vs. previous bar) that triggers a stop-loss. Higher values reduce premature exits. - **Use Performance Stop-Loss** (`use_perf_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the loss exceeds a percentage threshold. - **Performance Stop-Loss (%)** (`perf_stop_percent`): - **Default**: `-10.0`. - **Range**: `-100.0` to `0.0`, step `0.1`. - **Effect**: Specifies the loss percentage that triggers a stop-loss. More negative values allow larger losses before exiting. ## 4. Visual and Statistical Output - **Labels**: Displayed at trade entries/exits with arrows (↑ for buy, ↓ for sell) and text ("BUY," "SELL"). A "No Equity" label appears if equity is zero. - **Background Coloring**: Optionally colors the chart background (green for long, red for short) to indicate open trades. - **Statistics Table**: Displayed at the top center of the chart, updated on timeframe changes or trade events. Includes: - **Capital Metrics**: Initial capital, current capital, capital growth (%). - **Trade Metrics**: Total trades, long/short trades, win rate, long/short win rates, profit factor. - **Open Trade Status**: Indicates if a long, short, or no trade is open. ## 5. Alerts - **Buy Signal Alert**: Triggered when `buy_signal` is true ("Cross Buy Signal"). - **Sell Signal Alert**: Triggered when `sell_signal` is true ("Cross Sell Signal"). - **Usage**: Users can set up TradingView alerts to receive notifications for trade signals.
Estratégia Pine Script®
por osterhansi_
PulseMA Oscillator Normalized v2█ OVERVIEW PulseMA Oscillator Normalized v2 is a technical indicator designed for the TradingView platform, assisting traders in identifying potential trend reversal points based on price dynamics derived from moving averages. The indicator is normalized for easier interpretation across various market conditions, and its visual presentation with gradients and signals facilitates quick decision-making. █ CONCEPTS The core idea of the indicator is to analyze trend dynamics by calculating an oscillator based on a moving average (EMA), which is then normalized and smoothed. It provides insights into trend strength, overbought/oversold levels, and reversal signals, enhanced by gradient visualizations. Why use it? Identifying reversal points: The indicator detects overbought and oversold levels, generating buy/sell signals at their crossovers. Price dynamics analysis: Based on moving averages, it measures how long the price stays above or below the EMA, incorporating trend slope. Visual clarity: Gradients, fills, and colored lines enable quick chart analysis. Flexibility: Configurable parameters, such as moving average lengths or normalization period, allow adaptation to various strategies and markets. How it works? Trend detection: Calculates a base exponential moving average (EMA with PulseMA Length) and measures how long the price stays above or below it, multiplied by the slope for the oscillator. Normalization: The oscillator is normalized based on the minimum and maximum values over a lookback period (default 150 bars), scaling it to a range from -100 to 100: (oscillator - min) / (max - min) * 200 - 100. This ensures values are comparable across different instruments and timeframes. Smoothing: The main line (PulseMA) is the normalized oscillator (oscillatorNorm). The PulseMA MA line is a smoothed version of PulseMA, calculated using an SMA with the PulseMA MA length. As PulseMA MA is smoothed, it reacts more slowly and can be used as a noise filter. Signals: Generates buy signals when crossing the oversold level upward and sell signals when crossing the overbought level downward. Signals are stronger when PulseMA MA is in the overbought or oversold zone (exceeding the respective thresholds for PulseMA MA). Visualization: Draws lines with gradients for PulseMA and PulseMA MA, levels with gradients, gradient fill to the zero line, and signals as triangles. Alerts: Built-in alerts for buy and sell signals. Settings and customization PulseMA Length: Length of the base EMA (default 20). PulseMA MA: Length of the SMA for smoothing PulseMA MA (default 20). Normalization Lookback Period: Normalization period (default 150, minimum 10). Overbought/Oversold Levels: Levels for the main line (default 100/-100) and thresholds for PulseMA MA, indicating zones where PulseMA MA exceeds set values (default 50/-50). Colors and gradients: Customize colors for lines, gradients, and levels; options to enable/disable gradients and fills. Visualizations: Show PulseMA MA, gradients for overbought/oversold/zero levels, and fills. █ OTHER SECTIONS Usage examples Trend analysis: Observe PulseMA above 0 for an uptrend or below 0 for a downtrend. Use different values for PulseMA Length and PulseMA MA to gain a clearer trend picture. PulseMA MA, being smoothed, reacts more slowly and can serve as a noise filter to confirm trend direction. Reversal signals: Look for buy triangles when PulseMA crosses the oversold level, especially when PulseMA MA is in the oversold zone. Similarly, look for sell triangles when crossing the overbought level with PulseMA MA in the overbought zone. Such confirmation increases signal reliability. Customization: Test different values for PulseMA Length and PulseMA MA on a given instrument and timeframe to minimize false signals and tailor the indicator to market specifics. Notes for users Combine with other tools, such as support/resistance levels or other oscillators, for greater accuracy. Test different settings for PulseMA Length and PulseMA MA on the chosen instrument and timeframe to find optimal values.
Indicador Pine Script®
por Uncle_the_shooter
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP) Originality & Innovation The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout. Technical Methodology Core Algorithm: Distributes volume across user-defined bins (20-200) over a lookback period Calculates volume-weighted price levels for each bin Applies percentile-based zone classification to the price range (not volume ranking) Zone B (extreme zones): Outer percentile tails representing potential rejection areas Zone A (significant zones): Secondary percentile bands indicating strong interest levels Center Zone: Bulk trading range where most price discovery occurs Mathematical Foundation: The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading. Key Calculations: POC (Point of Control): Price level with maximum volume accumulation Volume-weighted mean price: Total volume × price / total volume Median price: Geometric center of the price range Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter Trading Applications Zone Interpretation: Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points. Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones. Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions. Strategic Usage: Reversal Trading: Look for rejection signals when price enters Zone B areas Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts Support/Resistance: Zone A boundaries often provide reliable entry/exit levels Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines Unique Value Proposition EZVP addresses three key limitations of traditional volume profiles: Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance. Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic. Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility. Configuration Guide Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading. Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes. Zone Percentages: Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance) Zone A: Significant threshold (default 14% = ~1σ statistical significance) Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style. Technical Requirements Pine Script v6 compatible Maximum bars back: 5000 (ensures sufficient historical data) Maximum boxes: 500 (supports high-resolution bin counts) Maximum lines: 50 (accommodates all zone and reference lines) This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
Indicador Pine Script®
por NateRichmond
1
Volume Heat ZoneVolume Zones Indicator This Pine Script creates a volume-based zone analysis tool for TradingView. Function: Divides the price range (high to low) into 20 levels over a 100-candle lookback period Measures volume activity at each price level Draws boxes at levels with above-average volume (1.5x threshold) Key Settings: Lookback Period (100): Number of candles analyzed Price Levels (20): Price range subdivisions Volume Threshold (1.5): Minimum volume multiplier for zones Candle Offset (1): Excludes current candle from analysis Projection Bars (10): Extends boxes 10 bars into the future How it works: The indicator identifies price levels where significant trading volume occurred historically, highlighting potential support/resistance zones. Boxes are redrawn on each confirmed candle, showing dynamic volume concentration areas that traders can use for entry/exit decisions.
Indicador Pine Script®
por trading_zone42
Volatility Forecast/*============================================================================== Volatility Forecast — Publishable Documentation Author: @BB_9791 License: Mozilla Public License 2.0 WHAT THIS INDICATOR SHOWS - A daily volatility estimate in percent points, called sigma_day. - A slow volatility anchor, the 10-year EMA of sigma_day. - A blended volatility series in percent points: sigma_blend = (1 − p) * sigma_day + p * EMA_10y(sigma_day) where p is the Slow weight %, default 30. - Optional annualization by multiplying by 16, this is a daily-to-annual conversion used by Robert Carver in his writings. METHODOLOGY, CREDIT The estimator follows the approach popularized by Robert Carver ("Systematic Trading", "Advanced Futures Trading Strategies", blog qoppac). Current daily volatility is computed as an exponentially weighted standard deviation of daily percent returns, with alpha = 2 / (span + 1). The slow leg is a long EMA of that volatility series, about 10 years. The blend uses fixed weights. This keeps the slow leg meaningful through large price level changes, since the blend is done in percent space first. MATH DETAILS Let r_t be daily percent return: r_t = 100 * (Close_t / Close_{t−1} − 1) EWMA mean and variance: m_t = α * r_t + (1 − α) * m_{t−1} v_t = α * (r_t − m_t)^2 + (1 − α) * v_{t−1} where α = 2 / (span_current + 1) Current daily sigma in percent points: sigma_day = sqrt(v_t) Slow leg: sigma_10y = EMA(sigma_day, span_long) Blend: sigma_blend = (1 − p) * sigma_day + p * sigma_10y Annualized option: sigma_ann = 16 * sigma_blend INPUTS - Threshold (percent points): horizontal guide level on the chart. - Short term span (days): EW stdev span for sigma_day. - Long term span (days): EMA span for the slow leg, choose about 2500 for 10 years. - Slow weight %: p in the blend. - Annualize (x16): plot daily or annualized values. - Show components: toggles Current and 10y EMA lines. - The script uses the chart symbol by default. PLOTS - Blended σ% as the main line. - Optional Current σ% and 10y EMA σ%. - Editable horizontal threshold line in the same units as the plot (percent points per day or per year). - Optional EMA 9 and EMA 20 cloud on the blended series, green for uptrend when EMA 9 is above EMA 20, red otherwise. Opacity is configurable. HOW TO READ - Values are percent points of movement per day when not annualized, for example 1.2 means about 1.2% typical daily move. - With annualize checked, values are percent points per year, for example 18 means about 18% annualized volatility. - Use the threshold and the EMA cloud to mark high or low volatility regimes. NOTES - All calculations use daily data via request.security at the chart symbol. - The blend is done in percent space, then optionally annualized, which avoids bias from the price level. - This script does not produce trading signals by itself, it is a risk and regime indicator. CREDITS Volatility forecasting method and scaling convention credited to Robert Carver. See his books and blog for background and parameter choices. VERSION v1.0 Initial public release. ==============================================================================*/
Indicador Pine Script®
por BB_9791
Radial Basis Kernel RSI for LoopRadial Basis Kernel RSI for Loop What it is An RSI-style oscillator that uses a radial basis function (RBF) kernel to compute a similarity-weighted average of gains and losses across many lookback lengths and kernel widths (γ). By averaging dozens of RSI estimates—each built with different parameters—it aims to deliver a smoother, more robust momentum signal that adapts to changing market conditions. How it works The script measures up/down price changes from your chosen Source (default: close). For each combination of RSI length and Gamma (γ) in your ranges, it builds an RSI where recent bars that look most similar (by price behavior) get more weight via an RBF kernel. It averages all those RSIs into a single value, then smooths it with your selected Moving Average type (SMA, EMA, WMA, HMA, DEMA) and a light regression-based filter for stability. Inputs you can tune Min/Max RSI Kernel Length & Step: Range of RSI lookbacks to include in the ensemble (e.g., 20→40 by 1) or (e.g., 30→50 by 1). Min/Max Gamma & Step: Controls the RBF “width.” Lower γ = broader similarity (smoother); higher γ = more selective (snappier). Source: Price series to analyze. Overbought / Oversold levels: Defaults 70 / 30, with a midline at 50. Shaded regions help visualize extremes. MA Type & Period (Confluence): Final smoothing on the averaged RSI line (e.g., DEMA(44) by default). Red “OB” labels when the line crosses down from extreme highs (~80) → potential overbought fade/exit areas. Green “OS” labels when the line crosses up from extreme lows (~20) → potential oversold bounce/entry areas. How to use it Treat it like RSI, but expect fewer whipsaws thanks to the ensemble and kernel weighting. Common approaches: Look for crosses back inside the bands (e.g., down from >70 or up from <30). Use the 50 midline for directional bias (above = bullish momentum tilt; below = bearish). Combine with trend filters (e.g., your chart MA) for higher-probability signals. Performance note: This is really heavy and depending on how much time your subscription allows you could experience this timing out. Increasing the step size is the easiest way to reduce the load time. Works on any symbol or timeframe. Like any oscillator, best used alongside price action and risk management rather than in isolation.
Indicador Pine Script®
por Cmo22
Session Based Liquidity# Session Based Liquidity Indicator - Educational Open Source ## 📊 Overview The Session Based Liquidity indicator is a comprehensive educational tool designed to help traders understand and visualize liquidity concepts across major trading sessions. This indicator identifies Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) levels created during Asia, London, and New York trading sessions, providing insights into institutional order flow and potential market reversal zones. ## 🎯 Key Features ### 📈 Multi-Session Tracking - **Asia Session**: Tokyo/Sydney overlap (20:00-02:00 EST) - **London Session**: European markets (03:00-07:30 EST) - **New York Session**: US markets (09:30-16:00 EST) - Individual session toggle controls for focused analysis ### 💧 Liquidity Level Detection - **Buy-Side Liquidity (BSL)**: Identifies stop losses above swing highs where short positions get stopped out - **Sell-Side Liquidity (SSL)**: Identifies stop losses below swing lows where long positions get stopped out - Advanced filtering algorithm to identify only significant liquidity zones - Configurable pivot strength for sensitivity adjustment ### 🎨 Visual Management System - **Unclaimed Levels**: Active liquidity zones that haven't been hit (default: black lines) - **Claimed Levels**: Swept liquidity zones showing historical interaction (default: red lines) - Customizable line styles, colors, and widths for both states - Dynamic label system showing session origin and level significance - Real-time line extension and label positioning ### ⚙️ Advanced Configuration - **Pivot Strength**: Adjust sensitivity (1-20) for liquidity detection - **Max Levels Per Side**: Control number of tracked levels (1-10) per session - **Label Offset**: Customize label positioning - **Style Customization**: Full control over visual appearance ## 📚 Educational Value ### Core Concepts Explained - **Liquidity Pools**: Areas where stop losses and pending orders cluster - **Liquidity Sweeps**: When price moves through levels to trigger stops, then reverses - **Session-Based Analysis**: How different market sessions create distinct liquidity characteristics - **Institutional Order Flow**: Understanding how large players interact with retail liquidity ### Trading Applications - Identify high-probability reversal zones after liquidity sweeps - Understand where stop losses are likely clustered - Avoid trading into obvious liquidity traps - Use session context for timing entries and exits - Recognize institutional accumulation and distribution patterns ### Code Learning Opportunities - **Pine Script v6 Best Practices**: Modern syntax and efficient coding patterns - **Object-Oriented Design**: Custom types and methods for clean code organization - **Array Management**: Dynamic data structure handling for performance - **Visual Programming**: Line, label, and styling management - **Session Detection**: Time-based filtering and timezone handling ## 🔧 Technical Implementation ### Performance Optimized - Efficient memory management with automatic cleanup - Limited historical level tracking to maintain responsiveness - Optimized array operations for smooth real-time updates - Smart filtering to reduce noise and focus on significant levels ### Code Architecture - **Modular Design**: Clean separation of concerns with dedicated methods - **Type Safety**: Custom SessionLiquidity type for organized data management - **Extensible Structure**: Easy to modify and enhance for specific needs - **Educational Comments**: Comprehensive documentation throughout ## 💡 Usage Guide ### Basic Setup 1. Add indicator to chart 2. Configure session times for your timezone 3. Adjust pivot strength based on timeframe (higher for lower timeframes) 4. Enable/disable sessions based on your trading focus ### Interpretation - **Unclaimed levels**: Watch for price interaction and potential reversals - **Claimed levels**: Use as potential support/resistance after sweep - **External levels**: Beyond session range, higher significance - **Internal levels**: Within session range, may indicate ranging conditions ### Best Practices - Use higher timeframes (15m+) for cleaner signals - Combine with price action analysis for confirmation - Consider session overlap periods for increased significance - Monitor multiple sessions for comprehensive market view ## 🎓 Educational Goals This open-source project aims to: - Demystify liquidity concepts for retail traders - Provide practical coding examples in Pine Script v6 - Encourage understanding of institutional trading behavior - Foster community learning and collaboration - Bridge the gap between theory and practical application ## 📄 License & Usage Released under Mozilla Public License 2.0 - free for educational and commercial use with proper attribution. ## 🤝 Contributing As an open-source educational tool, contributions are welcome! Whether it's bug fixes, feature enhancements, or educational improvements, your input helps the trading community learn and grow. ## ⚠️ Disclaimer This indicator is for educational purposes only. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. --- *By studying and using this indicator, traders can develop a deeper understanding of market microstructure and improve their ability to read institutional order flow patterns.*
Indicador Pine Script®
por Omarqqq
1
Signal Hunter Pro - GKDXLSignal Hunter Pro - GKDXL combines four powerful technical indicators with trend strength filtering and volume confirmation to generate reliable BUY/SELL signals. This indicator is perfect for traders who want a systematic approach to market analysis without the noise of conflicting signals. 🔧 Core Features 📈 Multi-Indicator Signal System Moving Averages: EMA 20, EMA 50, and SMA 200 for trend analysis Bollinger Bands: Dynamic support/resistance with price momentum detection RSI: Enhanced RSI logic with smoothing and multi-zone analysis MACD: Traditional MACD with signal line crossovers and zero-line analysis 🎛️ Advanced Filtering System ADX Trend Strength Filter: Only signals when trend strength exceeds threshold Volume Confirmation: Ensures signals occur with adequate volume participation Multi-Timeframe Logic: Works on any timeframe from 1m to 1D and beyond 🚨 Intelligent Signal Generation Requires 3 out of 4 indicators to align for signal confirmation Separate bullish and bearish signal conditions Real-time signal strength scoring (1/4 to 4/4) Built-in alert system for automated notifications ⚙️ Customizable Parameters 📊 Technical Settings Moving Averages: Adjustable EMA and SMA periods Bollinger Bands: Configurable length and multiplier RSI: Customizable length, smoothing, and overbought/oversold levels MACD: Flexible fast, slow, and signal line settings 🎯 Risk Management Risk Percentage: Set your risk per trade (0.1% to 10%) Reward Ratio: Configure risk-to-reward ratios (1:1 to 1:5) ADX Threshold: Control minimum trend strength requirements 🖥️ Display Options Indicator Visibility: Toggle individual indicators on/off Information Table: Optional detailed status table (off by default) Volume Analysis: Real-time volume vs. average comparison 🎨 Visual Elements 📈 Chart Indicators EMA Lines: Blue (20) and Orange (50) exponential moving averages SMA 200: Gray long-term trend line Bollinger Bands: Upper/lower bands with semi-transparent fill Clean Interface: Minimal visual clutter for clear analysis 📋 Information Table (Optional) Real-time indicator status with ✓/✗/— symbols Current signal strength and direction ADX trend strength measurement Volume confirmation status No-signal reasons when conditions aren't met 🔔 Alert System 📢 Three Alert Types BUY Signal: Triggered when 3+ indicators align bullishly SELL Signal: Triggered when 3+ indicators align bearishly General Alert: Any signal detection for broader monitoring 📱 Alert Messages Clear, actionable alert text Includes indicator name for easy identification Compatible with webhook integrations 🎯 How It Works 📊 Signal Logic Indicator Assessment: Each of the 4 indicators is evaluated as Bullish/Bearish/Neutral Consensus Building: Counts aligned indicators (minimum 3 required) Filter Application: Applies trend strength and volume filters Signal Generation: Generates BUY/SELL when all conditions are met 🔍 Indicator States Moving Averages: Price position, EMA alignment, and crossovers Bollinger Bands: Price relative to bands and momentum shifts RSI: Multi-zone analysis with momentum and crossover detection MACD: Signal line crossovers and zero-line positioning 🎉 Why Choose Signal Hunter Pro? ✅ Multi-Indicator Confirmation reduces false signals ✅ Trend Strength Filtering improves win rate ✅ Volume Confirmation ensures market participation ✅ Customizable Parameters adapt to any trading style ✅ Clean Visual Design doesn't clutter your charts ✅ Professional Alert System for automated trading ✅ No Repainting - reliable historical signals ✅ Works on All Timeframes from scalping to investing
Indicador Pine Script®
por gkdxlceo
Setup Cripto EMA + Volume//@version=5 indicator("Sinais Multi-Cripto – EMA+Volume (BTC/ETH/BNB/SOL/XRP)", overlay=false) // Inputs emaFast = input.int(50, "EMA Curta") emaSlow = input.int(200, "EMA Longa") emaPull = input.int(20, "EMA Pullback") volLen = input.int(20, "Média Volume") symBTC = input.symbol(defval="BINANCE:BTCUSDT", title="BTC") symETH = input.symbol(defval="BINANCE:ETHUSDT", title="ETH") symBNB = input.symbol(defval="BINANCE:BNBUSDT", title="BNB") symSOL = input.symbol(defval="BINANCE:SOLUSDT", title="SOL") symXRP = input.symbol(defval="BINANCE:XRPUSDT", title="XRP") f_sig(sym) => c = request.security(sym, timeframe.period, close) v = request.security(sym, timeframe.period, volume) e50 = ta.ema(c, emaFast) e200 = ta.ema(c, emaSlow) e20 = ta.ema(c, emaPull) vma = ta.sma(v, volLen) long = (e50 > e200) and (c > e20) and (v > vma) short = (e50 < e200) and (c < e20) and (v > vma) = f_sig(symBTC) = f_sig(symETH) = f_sig(symBNB) = f_sig(symSOL) = f_sig(symXRP) // Exibição plotchar(btcL, title="BTC Long", char="▲", location=location.top) plotchar(btcS, title="BTC Short", char="▼", location=location.bottom) plotchar(ethL, title="ETH Long", char="▲", location=location.top) plotchar(ethS, title="ETH Short", char="▼", location=location.bottom) plotchar(bnbL, title="BNB Long", char="▲", location=location.top) plotchar(bnbS, title="BNB Short", char="▼", location=location.bottom) plotchar(solL, title="SOL Long", char="▲", location=location.top) plotchar(solS, title="SOL Short", char="▼", location=location.bottom) plotchar(xrpL, title="XRP Long", char="▲", location=location.top) plotchar(xrpS, title="XRP Short", char="▼", location=location.bottom)
Estratégia Pine Script®
por noemecastro
Low Volatility Breakout in Trend █ OVERVIEW "Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment. █ CONCEPTS The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions. Why Use It? * Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments. * Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter. * Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis. * Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets. How It Works * Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor). * Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility). * Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend). * Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows. * Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications. Settings and Customization * Volatility Window: Length of the period for calculating the average candle body size (default: 20). * Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2). * Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10). * SMA Length for Trend: Period of the SMA for trend detection (default: 100). * Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA. * Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles). * Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels. █ OTHER SECTIONS Usage Examples * Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high. * Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones. Notes for Users * On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead. * Adjust parameters to suit the market's characteristics to minimize noise. * Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Indicador Pine Script®
por Uncle_the_shooter
Instant Breakout Strategy with RSI & VWAPInstant Breakout Strategy with RSI & VWAP This TradingView strategy (Pine Script v6) trades breakouts using pivot points, with optional filters for volume, momentum, RSI, and VWAP. It’s optimized for the 1-second timeframe. Overview The strategy identifies breakouts when price crosses above resistance (pivot highs) or below support (pivot lows). It can use basic pivot breakouts or add filters for stronger signals. Take-profit and stop-loss levels are set using ATR, and signals are shown on the chart. Inputs Left/Right Pivot Bars: Bars to detect pivots (default: 3). Lower values increase sensitivity. Volume Surge Multiplier: Volume threshold vs. 20-period average (default: 1.5). Momentum Threshold: Minimum % price change from bar open (default: 1%). Take-Profit ATR Multiplier: ATR multiplier for take-profit (default: 9.0). Stop-Loss ATR Multiplier: ATR multiplier for stop-loss (default: 1.0). Use Filters: Enable/disable volume, momentum, RSI, and VWAP filters (default: off). How It Works 1. Pivot Detection Finds pivot highs (resistance) and lows (support) using ta.pivothigh and ta.pivotlow. Tracks the latest pivot levels. 2. Volume Surge Compares current volume to a 20-period volume average. A surge occurs if volume exceeds the average times the multiplier. 3. Momentum Measures price change from the bar’s open. Bullish: Price rises >1% from open. Bearish: Price falls >1% from open. 4. RSI and VWAP RSI: 3-period RSI. Above 50 is bullish; below 50 is bearish. VWAP: Price above VWAP is bullish; below is bearish. 5. ATR 14-period ATR sets take-profit (close ± atr * 9.0) and stop-loss (close ± atr * 1.0). Trading Rules Breakout Conditions Bullish Breakout: Price crosses above the latest pivot high. With filters: Volume surge, bullish momentum, RSI > 50, price > VWAP. Without filters: Only the crossover is needed. Bearish Breakout: Price crosses below the latest pivot low. With filters: Volume surge, bearish momentum, RSI < 50, price < VWAP. Without filters: Only the crossunder is needed. Entries and Exits Long: Enter on bullish breakout. Set take-profit and stop-loss. Close any short position. Short: Enter on bearish breakout. Set take-profit and stop-loss. Close any long position. Visuals Signals: Green triangles (bullish) below bars, red triangles (bearish) above bars. Pivot Levels: Green line (resistance), red line (support). Indicators: RSI (blue, separate pane), VWAP (purple, on chart). How to Use Apply to a 1-second chart in TradingView for best results. Adjust inputs (e.g., pivot bars, multipliers). Enable filters for stricter signals. Watch for buy/sell triangles and monitor RSI/VWAP. Use ATR-based take-profit/stop-loss for risk management. Notes Best on 1-second timeframe due to fast RSI and responsiveness. Disable filters for more signals (less confirmation). Backtest before live trading to check performance. This strategy uses pivots, volume, momentum, RSI, and VWAP for clear breakout trades on the 1-second timeframe.
Estratégia Pine Script®
por thetraderlodge
2
Master Candle# Master Candle Indicator ## Overview The Master Candle Indicator identifies and highlights significant price consolidation patterns where multiple candles trade within the high-low range of a single "master" candle. This technical analysis tool helps traders spot potential breakout zones and key support/resistance levels. ## What is a Master Candle? A Master Candle is a candlestick that contains 4 or more subsequent candles completely within its high-low range. These formations often indicate: - Market consolidation phases - Potential breakout areas - Strong support and resistance levels - Areas of price compression before significant moves ## Features ✅ **Automatic Detection**: Scans historical data to identify Master Candle patterns ✅ **Visual Highlighting**: Draws colored boxes around detected Master Candles ✅ **Customizable Parameters**: Adjust minimum candles required (2-20) ✅ **Candle Counter**: Shows exact number of candles contained within each Master Candle ✅ **Performance Optimized**: Efficient lookback system with memory management ✅ **Clean Interface**: Non-intrusive visual design that doesn't clutter charts ## How to Use 1. Add the indicator to your chart 2. Adjust the "Minimum candles inside" parameter (default: 4) 3. Set the lookback period for historical scanning (default: 50) 4. Master Candles will be automatically highlighted with colored boxes 5. Use these levels as potential support/resistance zones for your trading strategy ## Settings - **Minimum candles inside**: Set how many candles must be contained (2-20) - **Lookback period**: How far back to scan for patterns (10-200 bars) ## Educational Purpose This indicator is designed for educational and analysis purposes. It helps traders: - Understand market consolidation patterns - Identify potential breakout zones - Recognize key support and resistance areas - Improve market structure analysis skills ## Technical Details - Compatible with all timeframes - Works on any trading instrument - Optimized for performance with automatic memory management - Uses historical data analysis for pattern detection ## Important Notes - This indicator is for educational and analytical purposes only - Past patterns do not guarantee future results - Always combine with other analysis tools - Practice proper risk management in your trading - Not financial advice - for educational use only
Indicador Pine Script®
por sabinaGM
FlowStateTrader FlowState Trader - Advanced Time-Filtered Strategy ## Overview FlowState Trader is a sophisticated algorithmic trading strategy that combines precision entry signals with intelligent time-based filtering and adaptive risk management. Built for traders seeking to achieve their optimal performance state, FlowState identifies high-probability trading opportunities within user-defined time windows while employing dynamic trailing stops and partial position management. ## Core Strategy Philosophy FlowState Trader operates on the principle that peak trading performance occurs when three elements align: **Focus** (precise entry signals), **Flow** (optimal time windows), and **State** (intelligent position management). This strategy excels at finding reversal opportunities at key support and resistance levels while filtering out suboptimal trading periods to keep traders in their optimal flow state. ## Key Features ### 🎯 Focus Entry System **Support/Resistance Zone Trading**: - Dynamic identification of key price levels using configurable lookback periods - Entry signals triggered when price interacts with these critical zones - Volume confirmation ensures genuine breakout/reversal momentum - Trend filter alignment prevents counter-trend disasters **Entry Conditions**: - **Long Signals**: Price closes above support buffer, touches support level, with above-average volume - **Short Signals**: Price closes below resistance buffer, touches resistance level, with above-average volume - Optional trend filter using EMA or SMA for directional bias confirmation ### ⏰ FlowState Time Filtering System **Comprehensive Time Controls**: - **12-Hour Format Trading Windows**: User-friendly AM/PM time selection - **Multi-Timezone Support**: UTC, EST, PST, CST with automatic conversion - **Day-of-Week Filtering**: Trade only weekdays, weekends, or both - **Lunch Hour Avoidance**: Automatically skips low-volume lunch periods (12-1 PM) - **Visual Time Indicators**: Background coloring shows active/inactive trading periods **Smart Time Features**: - Handles overnight trading sessions seamlessly - Prevents trades during historically poor performance periods - Customizable trading hours for different market sessions - Real-time trading window status in dashboard ### 🛡️ Adaptive Risk Management **Multi-Level Take Profit System**: - **TP1**: First profit target with optional partial position closure - **TP2**: Final profit target for remaining position - **Flexible Scaling**: Choose number of contracts to close at each level **Dynamic Trailing Stop Technology**: - **Three Operating Modes**: - **Conservative**: Earlier activation, tighter trailing (protect profits) - **Balanced**: Optimal risk/reward balance (recommended) - **Aggressive**: Later activation, wider trailing (let winners run) - **ATR-Based Calculations**: Adapts to current market volatility - **Automatic Activation**: Engages when position reaches profitability threshold ### 📊 Intelligent Position Sizing **Contract-Based Management**: - Configurable entry quantity (1-1000 contracts) - Partial close quantities for profit-taking - Clear position tracking and P&L monitoring - Real-time position status updates ### 🎨 Professional Visualization **Enhanced Chart Elements**: - **Entry Zone Highlighting**: Clear visual identification of trading opportunities - **Dynamic Risk/Reward Lines**: Real-time TP and SL levels with price labels - **Trailing Stop Visualization**: Live tracking of adaptive stop levels - **Support/Resistance Lines**: Key level identification - **Time Window Background**: Visual confirmation of active trading periods **Dual Dashboard System**: - **Strategy Dashboard**: Real-time position info, settings status, and current levels - **Performance Scorecard**: Live P&L tracking, win rates, and trade statistics - **Customizable Sizing**: Small, Medium, or Large display options ### ⚙️ Comprehensive Customization **Core Strategy Settings**: - **Lookback Period**: Support/resistance calculation period (5-100 bars) - **ATR Configuration**: Period and multipliers for stops/targets - **Reward-to-Risk Ratios**: Customizable profit target calculations - **Trend Filter Options**: EMA/SMA selection with adjustable periods **Time Filter Controls**: - **Trading Hours**: Start/end times in 12-hour format - **Timezone Selection**: Four major timezone options - **Day Restrictions**: Weekend-only, weekday-only, or unrestricted - **Session Management**: Lunch hour avoidance and custom periods **Risk Management Options**: - **Trailing Stop Modes**: Conservative/Balanced/Aggressive presets - **Partial Close Settings**: Enable/disable with custom quantities - **Alert System**: Comprehensive notifications for all trade events ### 📈 Performance Tracking **Real-Time Metrics**: - Net profit/loss calculation - Win rate percentage - Profit factor analysis - Maximum drawdown tracking - Total trade count and breakdown - Current position P&L **Trade Analytics**: - Winner/loser ratio tracking - Real-time performance scorecard - Strategy effectiveness monitoring - Risk-adjusted return metrics ### 🔔 Alert System **Comprehensive Notifications**: - Entry signal alerts with price and quantity - Take profit level hits (TP1 and TP2) - Stop loss activations - Trailing stop engagements - Position closure notifications ## Strategy Logic Deep Dive ### Entry Signal Generation The strategy identifies high-probability reversal points by combining multiple confirmation factors: 1. **Price Action**: Looks for price interaction with key support/resistance levels 2. **Volume Confirmation**: Ensures sufficient market interest and liquidity 3. **Trend Alignment**: Optional filter prevents counter-trend positions 4. **Time Validation**: Only trades during user-defined optimal periods 5. **Zone Analysis**: Entry occurs within calculated buffer zones around key levels ### Risk Management Philosophy FlowState Trader employs a three-tier risk management approach: 1. **Initial Protection**: ATR-based stop losses set at strategy entry 2. **Profit Preservation**: Trailing stops activate once position becomes profitable 3. **Scaled Exit**: Partial profit-taking allows for both security and potential ### Time-Based Edge The time filtering system recognizes that not all trading hours are equal: - Avoids low-volume, high-spread periods - Focuses on optimal liquidity windows - Prevents trading during news events (lunch hours) - Allows customization for different market sessions ## Best Practices and Optimization ### Recommended Settings **For Scalping (1-5 minute charts)**: - Lookback Period: 10-20 - ATR Period: 14 - Trailing Stop: Conservative mode - Time Filter: Major session hours only **For Day Trading (15-60 minute charts)**: - Lookback Period: 20-30 - ATR Period: 14-21 - Trailing Stop: Balanced mode - Time Filter: Extended trading hours **For Swing Trading (4H+ charts)**: - Lookback Period: 30-50 - ATR Period: 21+ - Trailing Stop: Aggressive mode - Time Filter: Disabled or very broad ### Market Compatibility - **Forex**: Excellent for major pairs during active sessions - **Stocks**: Ideal for liquid stocks during market hours - **Futures**: Perfect for index and commodity futures - **Crypto**: Effective on major cryptocurrencies (24/7 capability) ### Risk Considerations - **Market Conditions**: Performance varies with volatility regimes - **Timeframe Selection**: Lower timeframes require tighter risk management - **Position Sizing**: Never risk more than 1-2% of account per trade - **Backtesting**: Always test on historical data before live implementation ## Educational Value FlowState serves as an excellent learning tool for: - Understanding support/resistance trading - Learning proper time-based filtering - Mastering trailing stop techniques - Developing systematic trading approaches - Risk management best practices ## Disclaimer This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Users should thoroughly backtest the strategy and understand all risks before live trading. Always use proper position sizing and never risk more than you can afford to lose. --- *FlowState Trader represents the evolution of systematic trading - combining classical technical analysis with modern risk management and intelligent time filtering to help traders achieve their optimal performance state through systematic, disciplined execution.*
Estratégia Pine Script®
por TradeManager_PRO
1
Smarter Money Concepts - Wyckoff Springs & Upthrusts [PhenLabs]📊Smarter Money Concepts - Wyckoff Springs & Upthrusts Version: PineScript™v6 📌Description Discover institutional manipulation in real-time with this advanced Wyckoff indicator that detects Springs (accumulation phases) and Upthrusts (distribution phases). It identifies when price tests support or resistance on high volume, followed by a strong recovery, signaling potential reversals where smart money accumulates or distributes positions. This tool solves the common problem of missing these subtle phase transitions, helping traders anticipate trend changes and avoid traps in volatile markets. By combining volume spike detection, ATR-normalized recovery strength, and a sigmoid probability model, it filters out weak signals and highlights only high-confidence setups. Whether you’re swing trading or day trading, this indicator provides clear visual cues to align with institutional flows, improving entry timing and risk management. 🚀Points of Innovation Sigmoid-based probability threshold for signal filtering, ensuring only statistically significant Wyckoff patterns trigger alerts ATR-normalized recovery measurement that adapts to market volatility, unlike static recovery checks in traditional indicators Customizable volume spike multiplier to distinguish institutional volume from retail noise Integrated dashboard legend with position and size options for personalized chart visualization Hidden probability plots for advanced users to analyze underlying math without chart clutter 🔧Core Components Support/Resistance Calculator: Scans a user-defined lookback period to establish dynamic levels for Spring and Upthrust detection Volume Spike Detector: Compares current volume to a 10-period SMA, multiplied by a configurable factor to identify significant surges Recovery Strength Analyzer: Uses ATR to measure price recovery after breaks, normalizing for different market conditions Probability Model: Applies sigmoid function to combine volume and recovery data, generating a confidence score for each potential signal 🔥Key Features Spring Detection: Spots accumulation when price dips below support but recovers strongly, helping traders enter longs at potential bottoms Upthrust Detection: Identifies distribution when price spikes above resistance but falls back, alerting to possible short opportunities at tops Customizable Inputs: Adjust lookback, volume multiplier, ATR period, and probability threshold to match your trading style and market Visual Signals: Clear + (green) and - (red) labels on charts for instant recognition of accumulation and distribution phases Alert System: Triggers notifications for signals and probability thresholds, keeping you informed without constant monitoring 🎨Visualization Spring Signal: Green upward label (+) below the bar, indicating strong recovery after support break for accumulation Upthrust Signal: Red downward label (-) above the bar, showing failed breakout above resistance for distribution Dashboard Legend: Customizable table explaining signals, positioned anywhere on the chart for quick reference 📖Usage Guidelines Core Settings Support/Resistance Lookback Default: 20 Range: 5-50 Description: Sets bars back for S/R levels; lower for recent sensitivity, higher for stable long-term zones – ideal for spotting Wyckoff phases Volume Spike Multiplier Default: 1.5 Range: 1.0-3.0 Description: Multiplies 10-period volume SMA; higher values filter to significant spikes, confirming institutional involvement in patterns ATR for Recovery Measurement Default: 5 Range: 2-20 Description: ATR period for recovery strength; shorter for volatile markets, longer for smoother analysis of post-break recoveries Phase Transition Probability Threshold Default: 0.9 Range: 0.5-0.99 Description: Minimum sigmoid probability for signals; higher for strict filtering, ensuring only high-confidence Wyckoff setups Display Settings Dashboard Position Default: Top Right Range: Various positions Description: Places legend table on chart; choose based on layout to avoid overlapping price action Dashboard Text Size Default: Normal Range: Auto to Huge Description: Adjusts legend text; larger for visibility, smaller for minimal space use ✅Best Use Cases Swing Trading: Identify Springs for long entries in downtrends turning to accumulation Day Trading: Catch Upthrusts for short scalps during intraday distribution at resistance Trend Reversal Confirmation: Use in conjunction with other indicators to validate phase shifts in ranging markets Volatility Plays: Spot signals in high-volume environments like news events for quick reversals ⚠️Limitations May produce false signals in low-volume or sideways markets where volume spikes are unreliable Depends on historical data, so performance varies in unprecedented market conditions or gaps Probability model is statistical, not predictive, and cannot account for external factors like news 💡What Makes This Unique Probability-Driven Filtering: Sigmoid model combines multiple factors for superior signal quality over basic Wyckoff detectors Adaptive Recovery: ATR normalization ensures reliability across assets and timeframes, unlike fixed-threshold tools User-Centric Design: Tooltips, customizable dashboard, and alerts make it accessible yet powerful for all trader levels 🔬How It Works Calculate S/R Levels: Uses the highest high and the lowest low over the lookback period to set dynamic zones Establishes baseline for detecting breaks in Wyckoff patterns Detect Breaks and Recovery: Checks for price breaking support/resistance, then recovering on volume Measures recovery strength via ATR for volatility adjustment Apply Probability Model: Combines volume spike and recovery into a sigmoid function for confidence score Triggers signal only if above threshold, plotting visuals and alerts 💡Note: For optimal results, combine with price action analysis and test settings on historical charts. Remember, Wyckoff patterns are most effective in trending markets – use lower probability thresholds for practice, then increase for live trading to focus on high-quality setups.
Indicador Pine Script®
por PhenLabs
2
Range Percent Histogram📌 Range Percent Histogram – Indicator Description The Range Percent Histogram is a custom indicator that behaves like a traditional volume histogram, but instead of showing traded volume it displays the percentage range of each candle. In other words, the height of each bar represents how much the price moved (in percentage terms) within that candle, from its low to its high. 🔧 What it shows The indicator has two main components: Component Description Histogram Bars Columns plotted in red or green depending on the candle direction (green = bullish candle, red = bearish). The height of each bar = (high - low) / low * 100. That means a candle that moved, for example, 1 % from its lowest point to its highest point will show a bar with 1 % height. Moving Average (optional) A 20-period Simple Moving Average applied directly to the bar values. It can be turned ON/OFF via a checkbox and helps you detect whether current range activity is above or below the average range of the past candles. ⚙️ How it works Every time a new candle closes, the indicator calculates its range and converts it into a percentage. This value is drawn as a column under the chart. If the closing price is above the opening price → the bar is green (bullish range). If the closing price is below the opening price → the bar is red (bearish range). When the Show Moving Average option is enabled, a smooth line is plotted on top of the histogram representing the average percentage range of the last 20 candles. 📈 How to use it This indicator is very helpful for detecting moments of range expansion or contraction. One powerful way to use it is similar to a volume exhaustion / low-volume pattern: Situation Interpretation Consecutive bars with very low height Price is in a period of low volatility → possible accumulation or "pause" phase. A sudden large bar after a series of small ones Indicates a strong pickup in volatility → often marks the start of a new impulse in the direction of the breakout.
Indicador Pine Script®
por BullBearSR
RRG Relative Strength# RRG Relative Strength (RRG RS) Compare any symbol to a benchmark using two RRG-style lines: **RS-Ratio** (trend of relative strength) and **RS-Momentum** (momentum of that trend). Both are centered at **100**: - **RS-Ratio > 100** → outperforming the benchmark - **RS-Ratio < 100** → underperforming - **RS-Momentum** often **leads** RS-Ratio (crosses 100 earlier) # How it works 1) Relative Strength (RS): RS = Close(symbol) / Close(benchmark) 2) Normalize around 100: smooth RS with EMA and divide RS by that EMA 3) RS-Ratio: EMA( RS / EMA(RS, Length), LenSmooth ) * 100 4) RS-Momentum: RS-Ratio / EMA(RS-Ratio, LenSmooth) * 100 # Inputs - Length (default 14): normalization window for RS - Length Smooth (default 20): smoothing window for RS-Ratio & RS-Momentum # Benchmark (auto) - US: SP:SPX (S&P 500) - Vietnam: HOSE:VNINDEX - Crypto: INDEX:BTCUSD (Modify the mapping if needed, or replace with your own input.symbol().) # How to read - Improving: RS-Momentum crosses above 100 while RS-Ratio turns up - Leading: RS-Ratio > 100 with RS-Momentum ≥ 100 - Weakening: RS-Momentum drops below 100; RS-Ratio often follows # Timeframes & presets - Works on Daily and Weekly charts - Daily (fast): 14 / 20 - Approx. weekly behavior on Daily: 50 / 60 Note: Values usually hover near 100 (e.g., ~90–110) but are not strictly bounded. Ensure your symbol and benchmark trade in comparable sessions/currencies.
Indicador Pine Script®
por huynhphan89
2
Market Internal Strength (Nasdaq/S&P 500)### Summary This indicator is a versatile tool designed to measure the "internal health" or "market breadth" of a major stock index. Instead of just looking at the index's price, it analyzes the percentage of its constituent stocks that are participating in the trend. Users can easily switch between the **Nasdaq 100** and the **S&P 500** directly from the settings. The data is displayed as an oscillator (scaled 0-100), similar to the RSI, making it intuitive to identify broad market **Overbought** and **Oversold** conditions and spot potential **Divergences** against the index price. --- ### What does it measure? The indicator plots three lines based on the selected index's market breadth data: * **% > 20D MA (Blue Line):** The percentage of stocks trading above their 20-day moving average (short-term trend). * **% > 50D MA (Orange Line):** The percentage of stocks trading above their 50-day moving average (medium-term trend). * **% > 200D MA (Red Line):** The percentage of stocks trading above their 200-day moving average (long-term trend). --- ### How to Use and Interpret **1. Overbought / Oversold Conditions:** * **Approaching the Overbought Zone (Value > 80):** This indicates that a very high number of stocks are in an uptrend, suggesting the market may be overheated or in a state of "Greed." This can signal a potential pullback or consolidation ahead. * **Approaching the Oversold Zone (Value < 20):** This indicates that a large number of stocks have been sold off heavily, suggesting the market may be in a state of "Extreme Fear." This could present an opportunity for a technical rebound. **2. Trend Confirmation:** * When an index (e.g., QQQ or SPY) is making new highs and the **% > 200D MA** line is also rising, it confirms that the uptrend is healthy and broadly supported by the majority of stocks. **3. Divergence Signals:** * **Bearish Divergence:** If the index price reaches a new high but the indicator (especially the 50D and 200D lines) forms a lower high, it's a warning sign. This suggests that fewer stocks are participating in the rally and the trend's foundation is weakening, which could precede a reversal. * **Bullish Divergence:** Conversely, if the index price makes a new low but the indicator forms a higher low, it signals that selling pressure is exhausting. Fewer stocks are making new lows, which could be an early sign of a potential bottom and a reversal to the upside. --- ### Settings * **Index:** Choose between the "Nasdaq 100" and "S&P 500" as your data source. * **Timeframe:** Allows you to select the data's timeframe (Daily "D" is recommended as the minimum). * **Overbought/Oversold Level:** Lets you customize the threshold for the OB/OS zones. * **Line Visibility:** You can toggle the visibility of each of the three lines.
Indicador Pine Script®
por waranyutrkm