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My RSI Fib Range Cloud//SOLO900q99This is basically the close price, optionally “stepped” if you set Bars Per Sample > 1. 2. Central Threshold Band (colored line) • This is an EMA of the resampled price (default length 34). • It turns: • Green when RSI is in bullish fib zones, • Pink when RSI is in bearish fib zones, • Grey when RSI is in the middle/neutral area. 3. Sigma Range High (green line) and Sigma Range Low (pink line) • These are an upper and lower band around price. • The distance from price is based on how much price has been moving recently (average change).
อินดิเคเตอร์ Pine Script®
โดย hussainimranali0987
Delta Grid Delta Grid H/L/C (Approx) Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart. Instead of guessing what happened inside a candle, this indicator shows you: Delta High – the maximum aggressive buying reached within the bar Delta Low – the maximum aggressive selling reached within the bar Delta Final – where delta closed when the candle finished All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior. How It Works This indicator approximates intrabar delta by: Aggregating lower-timeframe volume Classifying volume direction based on price movement Tracking the running delta inside each candle Recording the highest, lowest, and final delta values per bar A heat-mapped background is applied to the Final Delta column: Green shades = net aggressive buying Red shades = net aggressive selling Brighter colors = stronger imbalance relative to recent bars Key Features Stand-alone Delta Grid panel below the chart Per-bar Delta High / Delta Low / Delta Final Heat-mapped Final Delta for fast visual interpretation Optional time column for precise bar reference Adjustable lookback and scaling settings Clean layout designed for futures, crypto, and index trading How Traders Use It This tool is ideal for: Spotting absorption at highs and lows Identifying failed breakouts and traps Confirming trend strength or exhaustion Reading order-flow shifts without footprint charts Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure Important Notes This is an approximate delta calculation due to TradingView data limitations. It does not use true bid/ask volume. For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required. Recommended Settings Use a lower timeframe (1s–15s if available) for better intrabar accuracy Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
อินดิเคเตอร์ Pine Script®
โดย forsakenSwift63419
Universe_Super MA [MTF & Multi-Type]**Overview** "Universe_Super MA" is a comprehensive trend analysis tool designed to overcome indicator limits. Instead of adding 4 separate moving averages, this script allows you to monitor 4 distinct Moving Averages within a single indicator slot. It features full **Multi-Timeframe (MTF)** capabilities, meaning you can view higher timeframe trends (e.g., Daily 200 SMA) while trading on lower timeframes (e.g., 15-minute chart). **Default Configuration (Institutional Setup)** The indicator comes pre-loaded with a powerful institutional trend setup: 1. **50 Period (Green):** Short-term trend and dynamic support. 2. **99 Period (Orange):** Medium-term trend filter. 3. **200 Period (Red):** The classic institutional dividing line between Bull and Bear markets. 4. **389 Period (Blue):** A long-term "Deep Trend" baseline used to identify major market cycles and heavy support/resistance levels. **Key Features** * **fully Customizable:** You can change the Length, Color, and Width of each line. * **Multi-Timeframe (MTF):** Select any timeframe for any MA. (e.g., Keep MA1 on the "Chart" timeframe, but lock MA4 to the "Daily" timeframe). * **6 MA Types:** Choose between SMA, EMA, WMA, HMA (Hull), RMA, and VWMA for each line independently. * **Clean Interface:** Toggle any line On/Off via settings without removing the indicator. **Usage & Interpretation** * **Trend Identification:** The 200 (Red) and 389 (Blue) lines are designed to visualize the long-term market bias. In technical analysis, price action sustaining above these levels is generally considered a bullish context, while price below suggests a bearish context. * **Crossover Monitoring:** The script facilitates the observation of interactions between short-term and long-term averages (e.g., the 50 crossing the 200), allowing users to easily spot common technical patterns like the "Golden Cross". * **Dynamic Levels:** The 99 and 200-period lines act as dynamic levels that may align with technical support or resistance zones during market retracements. **Settings** * **Timeframe:** Leave empty to use the current chart's timeframe, or select a specific one (e.g., "1D" or "4H"). * **Type:** Select your preferred calculation method (SMA is default). **Disclaimer** This tool is for educational purposes and trend visualization only. Always manage your risk.
อินดิเคเตอร์ Pine Script®
โดย Fib_Universe
SMAHiLO- 2 EMA/SMA can be used for trend following default value is 50 and 200 - green box and red box incorporated to chart for visual representation for Week ,Daily, H4, H2,H1 - blue line representation for opening candle, previous low and previous high and by clicking prev. close open alert at setting it will alert if prev. low or high are reach and current opening candle is breakdown or breakout settings: - engulfing alert it will alert bullish engulfing entry if 50 is above 200 vise versa - harami alert it will alert bullish harami if 50 is above 200 vise versa - pullback alert it will alert bullish pullback if 50 is above 200 or bearish pullback if 50 below 200 - mcd ob/os alert it will display green circle above candle if macd getting weaker from bearish to bullish vise versa - spot play alert most of the time buy alert only no sell alert. - engul/harami alert it will alert if harami or engulfing is met unlike on engulfing alert and harami alert it will follow the trend if 50 above 200 vise versa.
อินดิเคเตอร์ Pine Script®
โดย marjemvic18
NSE Swing Breadth NSE Swing Breadth – Market Health Dashboard (0–200, % from Neutral) Overview NSE Swing Breadth – Market Health Dashboard is a market-wide health and regime indicator designed to track internal strength and participation across Large-, Mid-, and Small-cap indices in the Indian equity market. Instead of focusing on price alone, this tool measures how strongly each segment is behaving relative to its own swing trend, normalizes those movements, and combines them into a single Market Health score. The result is a clean, objective dashboard that helps traders identify Risk-On, Caution, and Risk-Off regimes. This indicator is best used for position sizing, exposure control, and timing aggressiveness, rather than individual stock entries. Data Used The indicator internally tracks three broad NSE indices: Large Caps → NIFTY100EQUALWEIGHT Mid Caps → NIFTYMIDCAP150 Small Caps → NIFTYSMLCAP250 Using equal-weighted and broad indices ensures the signal reflects true market participation, not just index heavyweights. Core Logic 1. Swing Strength Model For each index, the script calculates normalized swing strength: Price is compared to its EMA swing baseline The deviation from the EMA is normalized using the EMA of absolute deviations This creates a volatility-adjusted strength value, allowing fair comparison across market regimes This answers the question: Is this segment pushing meaningfully above or below its recent trend? 2. Strength Converted to % from Neutral (Baseline = 100) Each segment’s strength is converted into percentage-style points around a neutral baseline of 100: 100 = Neutral +15 = +15% strength above neutral –20 = –20% weakness below neutral These values are plotted as three smooth lines: Blue → Large Caps Orange → Mid Caps Purple → Small Caps This makes relative leadership and divergence immediately visible. 3. Market Health Score (0–100) The indicator combines all three segments into a single Market Health score: Large Caps → 40% weight Mid Caps → 35% weight Small Caps → 25% weight Extreme values are clamped to avoid distortion, and the final score is normalized to a 0–100 scale: 70–100 → Strong, broad participation 40–69 → Mixed / unstable participation 0–39 → Weak, risk-off conditions Visual Components 📊 Market Health Histogram A vertical histogram displays Market Health (0–100) with enhanced visibility: 🟢 Green (≥ 70) → Strong Risk-On regime 🟠 Orange (40–69) → Caution / Transition 🔴 Red (< 40) → Risk-Off regime The histogram is visually compact and designed to reflect true market health, not exaggerated spikes. 📈 Strength Lines (Baseline = 100) Three strength lines show % deviation from neutral: Above 100 → Positive internal strength Below 100 → Internal weakness These lines help identify: Leadership (which segment is driving the market) Early deterioration (small/mid caps weakening first) Broad confirmation (all segments rising together) Dashboard Tables 📌 Market Regime Table (Bottom-Left) Displays the current market regime: 🟢 RISK ON 🟡 CAUTION 🔴 RISK OFF Along with the exact Market Health score (0–100). 📌 Strength Table (Top-Right) Shows Large / Mid / Small cap strength as % from neutral, for example: +18% → 18% above neutral –12% → 12% below neutral This avoids misleading interpretations and keeps values intuitive and actionable. How to Use This Indicator Risk-On (Green) Favor full position sizes, trend-following strategies, and broader participation trades. Caution (Orange) Reduce leverage, tighten stops, and be selective. Expect choppiness. Risk-Off (Red) Prioritize capital protection, reduce exposure, and avoid aggressive longs. This indicator is not an entry signal — it is a market environment filter. ⚠️ Important Style Setting (Required) For correct visualization: Settings → Style → Uncheck “Labels on price scale” This prevents the indicator’s internal 0–200 model scale from interfering with the chart’s price scale and keeps the pane clean and readable. Summary NSE Swing Breadth – Market Health Dashboard provides a clear, objective view of market internals, helping traders align their risk with the true underlying condition of the market — not just price movement. It is especially effective for: Market regime identification Exposure management Avoiding false breakouts in weak breadth environments
อินดิเคเตอร์ Pine Script®
โดย vikram_bains
Day of WeekDay of Week is an indicator that runs in a separate panel and colors the panel background according to the day of the week. Main Features Colors the background of the lower panel based on the day of the week Includes all days, from Monday to Sunday Customizable colors Time Offset Correction TradingView calculates the day of the week using the exchange’s timezone, which can cause visual inconsistencies on certain symbols. To address this, the indicator includes a configurable time offset that allows the user to synchronize the calculated day with the day displayed on the chart. By simply adjusting the Time Offset (hours) parameter, the background will align correctly with the visible chart calendar.
อินดิเคเตอร์ Pine Script®
โดย MarkiStrategy
takeshi MNO_2Step_Screener_MOU_MOUB_KAKU//@version=5 indicator("MNO_2Step_Screener_MOU_MOUB_KAKU", overlay=true, max_labels_count=500, max_lines_count=500) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)", minval=1) emaMLen = input.int(13, "EMA Mid (13)", minval=1) emaLLen = input.int(26, "EMA Long (26)", minval=1) macdFast = input.int(12, "MACD Fast", minval=1) macdSlow = input.int(26, "MACD Slow", minval=1) macdSignal = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volDays = input.int(5, "Volume avg (days equivalent)", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (MOU-B/KAKU)", step=0.1) volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1) wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1) pivotLen = input.int(20, "Resistance lookback", minval=5) pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1) pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1) breakLookbackBars = input.int(5, "Valid bars after break", minval=1) showEMA = input.bool(true, "Plot EMAs") showLabels = input.bool(true, "Show labels (猛/猛B/確)") showShapes = input.bool(true, "Show shapes (猛/猛B/確)") confirmOnClose = input.bool(true, "Signal only on bar close (recommended)") locChoice = input.string("Below", "Label location", options= ) lblLoc = locChoice == "Below" ? location.belowbar : location.abovebar // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5") plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13") plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL goldenOrder = emaS > emaM and emaM > emaL above26_2bars = close > emaL and close > emaL baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2bars // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) macdGC = ta.crossover(macdLine, macdSig) macdUp = macdLine > macdLine macdNearZero = math.abs(macdLine) <= macdZeroTh macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0 macdMouOK = macdGC and macdNearZero and macdUp macdKakuOK = macdGCAboveZero // ========================= // Volume (days -> bars) // ========================= sec = timeframe.in_seconds(timeframe.period) barsPerDay = (sec > 0 and sec < 86400) ? math.round(86400 / sec) : 1 volLookbackBars = math.max(1, volDays * barsPerDay) volMA = ta.sma(volume, volLookbackBars) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = not na(volRatio) and volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = not na(volRatio) and volRatio >= volStrong and volRatio <= volMaxRatio // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low pinbar = (body > 0) and (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) bullEngulf = close > open and close < open and close >= open and open <= close bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) candleOK = pinbar or bullEngulf or bigBull // ========================= // Resistance / Pullback route // ========================= res = ta.highest(high, pivotLen) pullbackPct = res > 0 ? (res - close) / res * 100.0 : na pullbackOK = not na(pullbackPct) and pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Signals (猛 / 猛B / 確) // ========================= mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou_breakout = baseTrendOK and ta.crossover(close, res ) and volumeStrongOK and macdKakuOK cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2bars cond4 = macdKakuOK cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8 = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdKakuOK and volumeStrongOK kaku = all8 and final3 // 確優先（同一足は確だけ出す） confirmed = confirmOnClose ? barstate.isconfirmed : true sigKAKU = kaku and confirmed sigMOU = mou_pullback and not kaku and confirmed sigMOUB = mou_breakout and not kaku and confirmed // ========================= // Visualization // ========================= if showLabels and sigMOU label.new(bar_index, low, "猛", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showLabels and sigMOUB label.new(bar_index, low, "猛B", style=label.style_label_up, color=color.new(color.green, 0), textcolor=color.black) if showLabels and sigKAKU label.new(bar_index, low, "確", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black) plotshape(showShapes and sigMOU, title="MOU", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigMOUB, title="MOUB", style=shape.labelup, text="猛B", color=color.new(color.green, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigKAKU, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(sigMOU, title="MNO_MOU", message="MNO: 猛（押し目）") alertcondition(sigMOUB, title="MNO_MOU_BREAKOUT", message="MNO: 猛B（ブレイク）") alertcondition(sigKAKU, title="MNO_KAKU", message="MNO: 確（最終）") alertcondition(sigMOU or sigMOUB or sigKAKU, title="MNO_ALL", message="MNO: 猛/猛B/確 いずれか")
อินดิเคเตอร์ Pine Script®
โดย morishima0ut6b
SHAP-Aligned BUY Signal (Daily, Edge-Triggered)Based on the XGBoost + SHAP interpretation report, I'll explain which indicators to monitor for buying NVO. However, I must emphasize that this model performed poorly (47.5% accuracy) and should NOT be used for actual trading! That said, here's what the model learned (for educational purposes): 📊 Top Indicators to Monitor for BUY Signals 1. Days_Since_Low (Most Important - 1.264) Direction: BULLISH ↑ Interpretation: Higher values → UP prediction What to monitor: Track how many days since the stock hit its recent low Buy signal: When the stock has been recovering for an extended period (e.g., 100+ days from low) Why it matters: The model learned that stocks in long-term recovery tend to continue rising 2. SMA_50 (50-day Moving Average) (0.413) Direction: BULLISH ↑ Interpretation: Higher absolute SMA_50 values → UP prediction What to monitor: The 50-day simple moving average price level Buy signal: When SMA_50 is at higher levels (e.g., above $80-90) Why it matters: Higher moving averages indicate stronger long-term trends 3. SMA_200 (200-day Moving Average) (0.274) Direction: BULLISH ↑ Interpretation: Higher SMA_200 → UP prediction What to monitor: The 200-day simple moving average Buy signal: When SMA_200 is trending upward and at elevated levels Why it matters: Long-term trend indicator; golden cross (SMA_50 > SMA_200) is traditionally bullish 4. BB_Width (Bollinger Band Width) (0.199) Direction: BULLISH ↑ Interpretation: WIDER Bollinger Bands → UP prediction What to monitor: The distance between upper and lower Bollinger Bands Buy signal: When BB_Width is expanding (increasing volatility often precedes trend moves) Why it matters: Widening bands can signal the start of a new trend 5. Price_SMA_50_Ratio (0.158) Direction: BULLISH ↑ Interpretation: When price is ABOVE the 50-day MA → UP prediction What to monitor: Current price ÷ SMA_50 Buy signal: When ratio > 1.0 (price is above the 50-day average) Why it matters: Price above moving averages indicates uptrend 6. Momentum_21D (21-day Momentum) (0.152) Direction: BULLISH ↑ Interpretation: Positive 21-day momentum → UP prediction What to monitor: 21-day rate of change Buy signal: When momentum is positive and increasing Why it matters: Positive momentum suggests continuation 7. Stoch_K (Stochastic Oscillator) (0.142) Direction: BULLISH ↑ Interpretation: Higher Stochastic K → UP prediction What to monitor: Stochastic oscillator (0-100 scale) Buy signal: When Stoch_K is rising from oversold (<20) or in mid-range (40-60) Why it matters: Measures momentum and overbought/oversold conditions
อินดิเคเตอร์ Pine Script®
โดย yellowpierid
Relative Strength Index_YJ//@version=5 indicator(title="MACD_YJ", shorttitle="MACD_YJ",format=format.price, precision=2) source = close useCurrentRes = input.bool(true, title="Use Current Chart Resolution?") resCustom = input.timeframe("60", title="Use Different Timeframe? Uncheck Box Above") smd = input.bool(true, title="Show MacD & Signal Line? Also Turn Off Dots Below") sd = input.bool(false, title="Show Dots When MacD Crosses Signal Line?") sh = input.bool(true, title="Show Histogram?") macd_colorChange = input.bool(true, title="Change MacD Line Color-Signal Line Cross?") hist_colorChange = input.bool(true, title="MacD Histogram 4 Colors?") // === Divergence inputs === grpDiv = "Divergence" calculateDivergence = input.bool(true, title="Calculate Divergence", group=grpDiv, tooltip="피벗 기반 정/역배 다이버전스 탐지 및 알람 사용") lookbackRight = input.int(5, "Lookback Right", group=grpDiv, minval=1) lookbackLeft = input.int(5, "Lookback Left", group=grpDiv, minval=1) rangeUpper = input.int(60, "Bars Range Upper", group=grpDiv, minval=1) rangeLower = input.int(5, "Bars Range Lower", group=grpDiv, minval=1) bullColor = input.color(color.new(#4CAF50, 0), "Bull Color", group=grpDiv) bearColor = input.color(color.new(#F23645, 0), "Bear Color", group=grpDiv) textColor = color.white noneColor = color.new(color.white, 100) res = useCurrentRes ? timeframe.period : resCustom fastLength = input.int(12, minval=1) slowLength = input.int(26, minval=1) signalLength= input.int(9, minval=1) fastMA = ta.ema(source, fastLength) slowMA = ta.ema(source, slowLength) macd = fastMA - slowMA signal = ta.sma(macd, signalLength) hist = macd - signal outMacD = request.security(syminfo.tickerid, res, macd) outSignal = request.security(syminfo.tickerid, res, signal) outHist = request.security(syminfo.tickerid, res, hist) // 가격도 같은 res로 hi_res = request.security(syminfo.tickerid, res, high) lo_res = request.security(syminfo.tickerid, res, low) // ── Histogram 색 histA_IsUp = outHist > outHist and outHist > 0 histA_IsDown = outHist < outHist and outHist > 0 histB_IsDown = outHist < outHist and outHist <= 0 histB_IsUp = outHist > outHist and outHist <= 0 macd_IsAbove = outMacD >= outSignal plot_color = hist_colorChange ? (histA_IsUp ? color.new(#00FF00, 0) : histA_IsDown ? color.new(#006900, 0) : histB_IsDown ? color.new(#FF0000, 0) : histB_IsUp ? color.new(#670000, 0) : color.yellow) : color.gray macd_color = macd_colorChange ? color.new(#00ffff, 0) : color.new(#00ffff, 0) signal_color = color.rgb(240, 232, 166) circleYPosition = outSignal // 골든/데드 크로스 (경고 해결: 먼저 계산) isBullCross = ta.crossover(outMacD, outSignal) isBearCross = ta.crossunder(outMacD, outSignal) cross_color = isBullCross ? color.new(#00FF00, 0) : isBearCross ? color.new(#FF0000, 0) : na // ── 플롯 plot(sh and outHist ? outHist : na, title="Histogram", color=plot_color, style=plot.style_histogram, linewidth=5) plot(smd and outMacD ? outMacD : na, title="MACD", color=macd_color, linewidth=1) plot(smd and outSignal? outSignal: na, title="Signal Line", color=signal_color, style=plot.style_line, linewidth=1) plot(sd and (isBullCross or isBearCross) ? circleYPosition : na, title="Cross", style=plot.style_circles, linewidth=3, color=cross_color) hline(0, "0 Line", linestyle=hline.style_dotted, color=color.white) // ===================== // Divergence (정배/역배) - 피벗 비교 // ===================== _inRange(cond) => bars = ta.barssince(cond) rangeLower <= bars and bars <= rangeUpper plFound = false phFound = false bullCond = false bearCond = false macdLBR = outMacD if calculateDivergence // 정배: 가격 LL, MACD HL plFound := not na(ta.pivotlow(outMacD, lookbackLeft, lookbackRight)) macdHL = macdLBR > ta.valuewhen(plFound, macdLBR, 1) and _inRange(plFound ) lowLBR = lo_res priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1) bullCond := priceLL and macdHL and plFound // 역배: 가격 HH, MACD LH phFound := not na(ta.pivothigh(outMacD, lookbackLeft, lookbackRight)) macdLH = macdLBR < ta.valuewhen(phFound, macdLBR, 1) and _inRange(phFound ) highLBR = hi_res priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1) bearCond := priceHH and macdLH and phFound // 시각화 (editable 파라미터 삭제) plot(plFound ? macdLBR : na, offset=-lookbackRight, title="Regular Bullish (MACD)", linewidth=2, color=(bullCond ? bullColor : noneColor), display=display.pane) plotshape(bullCond ? macdLBR : na, offset=-lookbackRight, title="Bullish Label", text=" Bull ", style=shape.labelup, location=location.absolute, color=bullColor, textcolor=textColor, display=display.pane) plot(phFound ? macdLBR : na, offset=-lookbackRight, title="Regular Bearish (MACD)", linewidth=2, color=(bearCond ? bearColor : noneColor), display=display.pane) plotshape(bearCond ? macdLBR : na, offset=-lookbackRight, title="Bearish Label", text=" Bear ", style=shape.labeldown, location=location.absolute, color=bearColor, textcolor=textColor, display=display.pane) // 알람 alertcondition(bullCond, title="MACD Regular Bullish Divergence", message="MACD 정배 다이버전스 발견: 현재 봉에서 lookbackRight 만큼 좌측.") alertcondition(bearCond, title="MACD Regular Bearish Divergence", message="MACD 역배 다이버전스 발견: 현재 봉에서 lookbackRight 만큼 좌측.")
อินดิเคเตอร์ Pine Script®
โดย Donggrimon
Momentum Burst Pullback System v66* Detects **momentum “bursts”** using: * **Keltner breakout** (high above upper band for long, low below lower band for short), and/or * **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign). * Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst. * Marks bursts with **K** (Keltner) and **M** (MACD) labels: * Core burst labels use one color, extension labels use a different color. * Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context). * Adds **structure-based invalidation**: * On a new **core burst**, it locks the most recent **confirmed swing** level (pivot): * Long: locks the last confirmed **swing low**. * Short: locks the last confirmed **swing high**. * After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped). * Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars: * Long pullback requires a sequence of **lower highs** and price still below the burst high. * Short pullback requires **higher lows** and price still above the burst low. * Optional background shading highlights pullback bars. * On pullback bars, plots **static TP/SL crosses** using ATR: * Anchor is the pullback bar’s high (long) or low (short). * TP/SL are ± ATR * multiple. * TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme. * Maintains a **state-machine entry + trailing stop**: * Sets a “waiting” trigger on pullback. * Enters when price breaks the trigger (high break for long, low break for short). * Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP. * Optionally draws the trailing stop as horizontal line segments. * Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
อินดิเคเตอร์ Pine Script®
โดย Flatlands1900
Colby Cheese VWAP Setup [v2.0]🔧 Core Refactors • Imbalance function fixed: • Removed invalid usage. • Now uses for past bar references. • Bias checks are handled outside the function with proper series indexing. • Bias alignment: • Added and so CHoCH signals only fire when price change agrees with EMA bias. • Swing reset: • After a valid CHoCH, and reset to so stale levels don’t keep firing. • Line/label management: • CHoCH lines and labels now reuse persistent IDs (, ) instead of spamming new objects every trigger. ✨ New Features • Anticipation mode: • Blue “Anticipate” lines/labels drawn when delta + bias align before CHoCH confirmation. • Helps you see potential setups earlier. • Entry zone lines: • Solid green/red lines drawn at entry levels when is enabled. • Separate from FRVP dashed zones. • Stop‑loss lines: • Orange dotted lines drawn opposite the entry zone when is enabled. • Gives a visual risk marker. 🎨 Visual Consistency • Candle coloring simplified: white candles only when CHoCH triggers. • FRVP zones remain dashed lines with “Enter” labels. • Anticipation zones are blue solid lines. • Entry zones are solid green/red. • Stop‑loss lines are orange dotted.
อินดิเคเตอร์ Pine Script®
โดย dscottmuller
Trading Value RSI (NQ Tuned)The Trading Value RSI (NQ Tuned) is an indicator that applies the RSI calculation to trading value, defined as volume × close, rather than just price. It is specifically tuned for Nasdaq 100 futures (NQ), with a default RSI length of 24, overbought level at 75, and oversold level at 25 to filter out false signals from high volatility. The indicator visually colors the RSI line based on overbought (red), oversold (green), or neutral (blue) conditions. A horizontal midline at 50 helps identify potential trend direction changes or confirm ongoing momentum. This tool allows traders to monitor capital flow intensity, giving insight into when strong buying or selling pressure may drive short-term market moves.
อินดิเคเตอร์ Pine Script®
โดย amkode