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Pattern grafici

Marcus Donchian + Volume Divergence — Indicator v2//@version=5 indicator("Marcus Donchian + Volume Divergence — Indicator v2", shorttitle="Marcus DV-Ind v2", overlay=true) // ── Inputs trendTF = input.timeframe("60", "Trend TF for EMA (상위TF)") emaLen = input.int(200, "Trend EMA Length", minval=1) emaSlopeBars = input.int(3, "EMA slope bars (HTF)", minval=1) breakLen = input.int(50, "Donchian Lookback", minval=2) sweepLen = input.int(30, "Sweep lookback (Reversal)", minval=3) atrLen = input.int(14, "ATR Length", minval=1) breakBufATR = input.float(0.30, "ATR buffer for channel (+/−)", step=0.05) useADX = input.bool(true, "Use ADX filter?") adxLen = input.int(14, "ADX Length", minval=1) adxTrendThr = input.int(28, "Trend ADX ≥", minval=1, maxval=100) adxRangeMax = input.int(22, "Range ADX ≤", minval=1, maxval=100) useVolFilter = input.bool(true, "Use volatility filter (ATR%)") atrMinPct = input.float(0.18, "Min ATR% of price", step=0.01) useDivFilter = input.bool(true, "Use Volume Divergence filter/confirm?") pvLen = input.int(5, "Pivot L/R bars (divergence)", minval=2) divConfirmBars = input.int(30, "Divergence confirm window (bars)", minval=5) volLen = input.int(20, "Volume MA length") volExpMult = input.float(1.5, "Volume expansion ×MA", step=0.1) distZLimitBO = input.float(1.5, "Max |Z| for Trend breakout (ATR)", step=0.1) // 과열 돌파 금지 distZRev = input.float(2.0, "Min |Z| for Reversal (ATR)", step=0.1) // 충분한 할인/프리미엄 allowLongs = input.bool(true, "Enable Longs", inline="SIDE") allowShorts = input.bool(true, "Enable Shorts", inline="SIDE") enableTrend = input.bool(true, "Enable Trend (breakout)") enableRev = input.bool(true, "Enable Reversal (sweep+reclaim)") // ── Wilder ADX (ta.adx 미탑재 방어) adxWilder(len) => up = ta.change(high) down = -ta.change(low) plusDM = (up > down and up > 0) ? up : 0.0 minusDM = (down > up and down > 0) ? down : 0.0 tr_ = math.max(high - low, math.max(math.abs(high - close ), math.abs(low - close ))) smTR = ta.rma(tr_, len) smPDM = ta.rma(plusDM, len) smMDM = ta.rma(minusDM, len) plusDI = 100 * smPDM / smTR minusDI = 100 * smMDM / smTR dx = 100 * math.abs(plusDI - minusDI) / math.max(plusDI + minusDI, 1e-10) ta.rma(dx, len) // ── Calculations trendEMA = request.security(syminfo.tickerid, trendTF, ta.ema(close, emaLen)) emaSlope = trendEMA - trendEMA upper = ta.highest(high, breakLen) lower = ta.lowest(low, breakLen) atr = ta.atr(atrLen) buf = atr * breakBufATR atrPct = (atr / close) * 100.0 adxVal = adxWilder(adxLen) Z = (close - trendEMA) / math.max(atr, 1e-10) // ── OBV & Volume expansion obvStep = close > close ? volume : close < close ? -volume : 0.0 obv = ta.cum(obvStep) volMA = ta.sma(volume, volLen) volExp = volume >= volExpMult * volMA // ── Pivot-based divergence (모든 상태변수 단일 선언: 재발 방지) ph = ta.pivothigh(high, pvLen, pvLen) // 확정되면 pvLen 바 전에 찍힘 pl = ta.pivotlow(low, pvLen, pvLen) var float ph_price_last = na var float ph_price_prev = na var float ph_obv_last = na var float ph_obv_prev = na var float pl_price_last = na var float pl_price_prev = na var float pl_obv_last = na var float pl_obv_prev = na if not na(ph) ph_price_prev := ph_price_last ph_obv_prev := ph_obv_last ph_price_last := ph ph_obv_last := obv // 피벗 바의 OBV if not na(pl) pl_price_prev := pl_price_last pl_obv_prev := pl_obv_last pl_price_last := pl pl_obv_last := obv // 다이버전스 정의 bearDiv = not na(ph_price_prev) and not na(ph_price_last) and (ph_price_last > ph_price_prev) and (ph_obv_last < ph_obv_prev) bullDiv = not na(pl_price_prev) and not na(pl_price_last) and (pl_price_last < pl_price_prev) and (pl_obv_last > pl_obv_prev) // 최근 N봉 내 다이버전스 존재? bearDivRecent = not useDivFilter ? true : (nz(ta.barssince(bearDiv), 1e9) <= divConfirmBars) bullDivRecent = not useDivFilter ? true : (nz(ta.barssince(bullDiv), 1e9) <= divConfirmBars) // ── Regime predicates (원자 변수화) trendStrong = (not useADX) or (adxVal >= adxTrendThr) rangeLike = (not useADX) or (adxVal <= adxRangeMax) volOK = (not useVolFilter) or (atrPct >= atrMinPct) slopeUp = emaSlope > 0 slopeDn = emaSlope < 0 // ── Donchian Breakout (Trend) + 과열(Z) + 거래량 확장 + 역다이버전스 차단 boLong_raw = enableTrend and allowLongs and trendStrong and slopeUp and (Z < distZLimitBO) and ta.crossover(close, upper + buf) boShort_raw = enableTrend and allowShorts and trendStrong and slopeDn and (Z > -distZLimitBO) and ta.crossunder(close, lower - buf) boLong = boLong_raw and (not useDivFilter or (volExp and not bearDivRecent)) boShort = boShort_raw and (not useDivFilter or (volExp and not bullDivRecent)) // ── Reversal: sweep & reclaim + Z 임계 + 저 ADX + 다이버전스 확증 sweptLow = low < ta.lowest(low, sweepLen) sweptHigh = high > ta.highest(high, sweepLen) reclaimL = close > (lower + buf) reclaimS = close < (upper - buf) discOK = Z <= -distZRev premOK = Z >= distZRev revLong = enableRev and allowLongs and rangeLike and discOK and sweptLow and reclaimL and (not useDivFilter or bullDivRecent) revShort = enableRev and allowShorts and rangeLike and premOK and sweptHigh and reclaimS and (not useDivFilter or bearDivRecent) // ── Final Signals + 변동성 필터 openLongTrend = volOK and boLong openShortTrend = volOK and boShort openLongRev = volOK and revLong openShortRev = volOK and revShort // ── Alert conditions (웹훅 없음) alertcondition(openLongTrend, "Open Long (Trend)", "Open Long (Trend breakout)") alertcondition(openShortTrend, "Open Short (Trend)", "Open Short (Trend breakout)") alertcondition(openLongRev, "Open Long (Reversal)", "Open Long (Reversal reclaim)") alertcondition(openShortRev, "Open Short (Reversal)","Open Short (Reversal reject)") // ── Plots plot(trendEMA, "Trend EMA (HTF)", color=color.new(color.orange, 0), linewidth=2) plot(upper, "Donchian Upper", color=color.new(color.blue, 0)) plot(lower, "Donchian Lower", color=color.new(color.blue, 0)) plotshape(boLong, title="BO Long", style=shape.triangleup, location=location.belowbar, color=color.new(color.lime,0), size=size.tiny, text="BO L") plotshape(boShort, title="BO Short", style=shape.triangledown, location=location.abovebar, color=color.new(color.red ,0), size=size.tiny, text="BO S") plotshape(revLong, title="REV Long", style=shape.circle, location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="REV L") plotshape(revShort, title="REV Short",style=shape.circle, location=location.abovebar, color=color.new(color.purple,0), size=size.tiny, text="REV S") plotshape(bullDiv, title="Bull Div", style=shape.labelup, location=location.belowbar, color=color.new(color.green,70), size=size.tiny, text="▲Div") plotshape(bearDiv, title="Bear Div", style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 70), size=size.tiny, text="▼Div")
Indicatore Pine Script®
di ljh882
MTF Target Prediction LiteMTF Target Prediction Enhanced Description: MTF Target Prediction Enhanced is an advanced multi-timeframe technical analysis indicator that identifies and clusters target price levels based on trendline breakouts across multiple timeframes. The indicator uses sophisticated clustering algorithms to group similar price targets and provides visual feedback through dynamic arrows, cluster boxes, and detailed statistics. Key Features: Multi-Timeframe Analysis: Simultaneously analyzes up to 8 different timeframes to identify convergence zones Smart Clustering: Groups nearby target prices into clusters with quality scoring Predictive Arrows: Dynamic arrows that track price movement toward cluster targets Grace Period System: Prevents false cluster loss signals with configurable waiting period Enhanced Quality Scoring: 5-component quality assessment (Density, Consistency, Reachability, Size, Momentum) Real-time Statistics: Track performance with win rate, P&L, and success metrics Adaptive Performance Modes: Optimize for speed or accuracy based on your needs How It Works: The indicator identifies pivot points and trendlines on each selected timeframe When a trendline breakout occurs, it calculates a target price based on the measured move Multiple targets from different timeframes are grouped into clusters when they converge Each cluster receives a quality score based on multiple factors High-quality clusters generate prediction arrows showing potential price targets The system tracks whether targets are reached or clusters are lost Settings Guide: ⚡ Performance Performance Mode: Choose between Fast (200 bars), Balanced (500 bars), Full (1000 bars), or Unlimited processing 🎯 Clustering Max Cluster Distance (%): Maximum price difference to group targets (default: 1.5%) Min Cluster Size: Minimum number of targets to form a cluster (default: 2) One Direction per TF: Allow only one direction signal per timeframe Cluster Grace Period: Bars to wait before considering cluster lost (default: 10) ➡️ Prediction Arrows Min Quality for Arrow: Minimum cluster quality to create arrow (0.1-1.0) Quality Weights: Adjust importance of each quality component Close Previous Arrows: Auto-close arrows when new ones appear Use Trend Filter: Create arrows only in trend direction Trend Filter Intensity: Sensitivity of trend detection (High/Medium/Low) 📅 Timeframes Pivot Length: Bars for pivot calculation (default: 3) Timeframes 1-8: Select up to 8 timeframes for analysis Visualize Show Cluster Analysis: Display cluster boxes and labels Show Cluster Boxes: Rectangle visualization around clusters Show TP Lines: Display individual target price lines Show Trend Filter: Visualize trend cloud Show Prediction Arrows: Display directional arrows to targets Show Statistics Table: Performance metrics display Visual Elements: Green/Red Boxes: Cluster zones with transparency based on quality Arrows: Diagonal lines pointing to cluster targets Green/Red: Active and tracking Orange: In grace period Gray: Cluster lost Labels: Detailed cluster information including: Timeframes involved Center price (C) Quality score (Q) Component scores (D,C,R,S,M) Distance from current price Result Markers: ✓ Green: Target reached successfully ✗ Red/Gray: Cluster lost Quality Components Explained: D (Density): How tightly packed the TPs are relative to ATR C (Consistency): How close the timeframes are to each other R (Reachability): Likelihood of reaching target based on distance and trend S (Size): Number of TPs in cluster (with diminishing returns) M (Momentum): Alignment with current price momentum Best Practices: Start with Balanced performance mode and default settings Use higher timeframes (D, W) for more reliable clusters Look for clusters with quality scores above 0.7 Enable trend filter to reduce false signals Adjust grace period based on your timeframe (higher TF = longer grace) Monitor the statistics table to track indicator performance Alerts Available: High-quality cluster formation (UP/DOWN) Target reached notifications Cluster lost warnings RUSSIAN VERSION MTF Target Prediction Enhanced Описание: MTF Target Prediction Enhanced - это продвинутый мультитаймфреймовый индикатор технического анализа, который идентифицирует и кластеризует целевые уровни цен на основе пробоев трендовых линий на нескольких таймфреймах. Индикатор использует сложные алгоритмы кластеризации для группировки схожих ценовых целей и предоставляет визуальную обратную связь через динамические стрелки, кластерные боксы и детальную статистику. Ключевые особенности: Мультитаймфреймовый анализ: Одновременный анализ до 8 различных таймфреймов для определения зон схождения Умная кластеризация: Группировка близких целевых цен в кластеры с оценкой качества Прогнозные стрелки: Динамические стрелки, отслеживающие движение цены к целям кластера Система Grace Period: Предотвращение ложных сигналов потери кластера с настраиваемым периодом ожидания Улучшенная оценка качества: 5-компонентная оценка (Плотность, Согласованность, Достижимость, Размер, Импульс) Статистика в реальном времени: Отслеживание эффективности с винрейтом, P&L и метриками успеха Адаптивные режимы производительности: Оптимизация скорости или точности по вашим потребностям Как это работает: Индикатор определяет опорные точки и трендовые линии на каждом выбранном таймфрейме При пробое трендовой линии рассчитывается целевая цена на основе измеренного движения Множественные цели с разных таймфреймов группируются в кластеры при схождении Каждый кластер получает оценку качества на основе нескольких факторов Высококачественные кластеры генерируют стрелки прогноза, показывающие потенциальные цели Система отслеживает достижение целей или потерю кластеров Руководство по настройкам: ⚡ Производительность Performance Mode: Выбор между Fast (200 баров), Balanced (500), Full (1000) или Unlimited 🎯 Кластеризация Max Cluster Distance (%): Максимальная разница цен для группировки (по умолчанию: 1.5%) Min Cluster Size: Минимальное количество целей для формирования кластера (по умолчанию: 2) One Direction per TF: Разрешить только один сигнал направления на таймфрейм Cluster Grace Period: Бары ожидания перед потерей кластера (по умолчанию: 10) ➡️ Стрелки прогноза Min Quality for Arrow: Минимальное качество кластера для создания стрелки (0.1-1.0) Quality Weights: Настройка важности каждого компонента качества Close Previous Arrows: Автозакрытие стрелок при появлении новых Use Trend Filter: Создавать стрелки только в направлении тренда Trend Filter Intensity: Чувствительность определения тренда (Высокая/Средняя/Низкая) 📅 Таймфреймы Pivot Length: Бары для расчета пивота (по умолчанию: 3) Timeframes 1-8: Выбор до 8 таймфреймов для анализа Визуализация Show Cluster Analysis: Отображение боксов и меток кластеров Show Cluster Boxes: Визуализация прямоугольников вокруг кластеров Show TP Lines: Отображение линий целевых цен Show Trend Filter: Визуализация облака тренда Show Prediction Arrows: Отображение направленных стрелок к целям Show Statistics Table: Отображение метрик эффективности Визуальные элементы: Зеленые/Красные боксы: Зоны кластеров с прозрачностью на основе качества Стрелки: Диагональные линии, указывающие на цели кластера Зеленые/Красные: Активные и отслеживающие Оранжевые: В периоде ожидания Серые: Кластер потерян Метки: Детальная информация о кластере: Задействованные таймфреймы Центральная цена (C) Оценка качества (Q) Оценки компонентов (D,C,R,S,M) Расстояние от текущей цены Маркеры результата: ✓ Зеленый: Цель успешно достигнута ✗ Красный/Серый: Кластер потерян Объяснение компонентов качества: D (Density/Плотность): Насколько плотно расположены TP относительно ATR C (Consistency/Согласованность): Насколько близки таймфреймы друг к другу R (Reachability/Достижимость): Вероятность достижения цели с учетом расстояния и тренда S (Size/Размер): Количество TP в кластере (с убывающей отдачей) M (Momentum/Импульс): Соответствие текущему импульсу цены Лучшие практики: Начните с режима Balanced и настроек по умолчанию Используйте старшие таймфреймы (D, W) для более надежных кластеров Ищите кластеры с оценкой качества выше 0.7 Включите фильтр тренда для уменьшения ложных сигналов Настройте grace period в зависимости от вашего таймфрейма (старший TF = дольше grace) Следите за таблицей статистики для отслеживания эффективности индикатора Доступные алерты: Формирование высококачественного кластера (ВВЕРХ/ВНИЗ) Уведомления о достижении цели Предупреждения о потере кластера Disclaimer / Отказ от ответственности: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management. Данный индикатор предназначен только для образовательных и информационных целей. Прошлые результаты не гарантируют будущих результатов. Всегда проводите собственный анализ и управление рисками.
Indicatore Pine Script®
di rulphru
MTF Target Prediction LiteMTF Target Prediction Enhanced Lite Description: MTF Target Prediction Enhanced is an advanced multi-timeframe technical analysis indicator that identifies and clusters target price levels based on trendline breakouts across multiple timeframes. The indicator uses sophisticated clustering algorithms to group similar price targets and provides visual feedback through dynamic arrows, cluster boxes, and detailed statistics. Key Features: Multi-Timeframe Analysis: Simultaneously analyzes up to 8 different timeframes to identify convergence zones Smart Clustering: Groups nearby target prices into clusters with quality scoring Predictive Arrows: Dynamic arrows that track price movement toward cluster targets Grace Period System: Prevents false cluster loss signals with configurable waiting period Enhanced Quality Scoring: 5-component quality assessment (Density, Consistency, Reachability, Size, Momentum) Real-time Statistics: Track performance with win rate, P&L, and success metrics Adaptive Performance Modes: Optimize for speed or accuracy based on your needs How It Works: The indicator identifies pivot points and trendlines on each selected timeframe When a trendline breakout occurs, it calculates a target price based on the measured move Multiple targets from different timeframes are grouped into clusters when they converge Each cluster receives a quality score based on multiple factors High-quality clusters generate prediction arrows showing potential price targets The system tracks whether targets are reached or clusters are lost Settings Guide: ⚡ Performance Performance Mode: Choose between Fast (200 bars), Balanced (500 bars), Full (1000 bars), or Unlimited processing 🎯 Clustering Max Cluster Distance (%): Maximum price difference to group targets (default: 1.5%) Min Cluster Size: Minimum number of targets to form a cluster (default: 2) One Direction per TF: Allow only one direction signal per timeframe Cluster Grace Period: Bars to wait before considering cluster lost (default: 10) ➡️ Prediction Arrows Min Quality for Arrow: Minimum cluster quality to create arrow (0.1-1.0) Quality Weights: Adjust importance of each quality component Close Previous Arrows: Auto-close arrows when new ones appear Use Trend Filter: Create arrows only in trend direction Trend Filter Intensity: Sensitivity of trend detection (High/Medium/Low) 📅 Timeframes Pivot Length: Bars for pivot calculation (default: 3) Timeframes 1-8: Select up to 8 timeframes for analysis Visualize Show Cluster Analysis: Display cluster boxes and labels Show Cluster Boxes: Rectangle visualization around clusters Show TP Lines: Display individual target price lines Show Trend Filter: Visualize trend cloud Show Prediction Arrows: Display directional arrows to targets Show Statistics Table: Performance metrics display Visual Elements: Green/Red Boxes: Cluster zones with transparency based on quality Arrows: Diagonal lines pointing to cluster targets Green/Red: Active and tracking Orange: In grace period Gray: Cluster lost Labels: Detailed cluster information including: Timeframes involved Center price (C) Quality score (Q) Component scores (D,C,R,S,M) Distance from current price Result Markers: ✓ Green: Target reached successfully ✗ Red/Gray: Cluster lost Quality Components Explained: D (Density): How tightly packed the TPs are relative to ATR C (Consistency): How close the timeframes are to each other R (Reachability): Likelihood of reaching target based on distance and trend S (Size): Number of TPs in cluster (with diminishing returns) M (Momentum): Alignment with current price momentum Best Practices: Start with Balanced performance mode and default settings Use higher timeframes (D, W) for more reliable clusters Look for clusters with quality scores above 0.7 Enable trend filter to reduce false signals Adjust grace period based on your timeframe (higher TF = longer grace) Monitor the statistics table to track indicator performance Alerts Available: High-quality cluster formation (UP/DOWN) Target reached notifications Cluster lost warnings ------------------------------------------------------------------------------------------------------------------ MTF Target Prediction Enhanced Lite Описание: MTF Target Prediction Enhanced - это продвинутый мультитаймфреймовый индикатор технического анализа, который идентифицирует и кластеризует целевые уровни цен на основе пробоев трендовых линий на нескольких таймфреймах. Индикатор использует сложные алгоритмы кластеризации для группировки схожих ценовых целей и предоставляет визуальную обратную связь через динамические стрелки, кластерные боксы и детальную статистику. Ключевые особенности: Мультитаймфреймовый анализ: Одновременный анализ до 8 различных таймфреймов для определения зон схождения Умная кластеризация: Группировка близких целевых цен в кластеры с оценкой качества Прогнозные стрелки: Динамические стрелки, отслеживающие движение цены к целям кластера Система Grace Period: Предотвращение ложных сигналов потери кластера с настраиваемым периодом ожидания Улучшенная оценка качества: 5-компонентная оценка (Плотность, Согласованность, Достижимость, Размер, Импульс) Статистика в реальном времени: Отслеживание эффективности с винрейтом, P&L и метриками успеха Адаптивные режимы производительности: Оптимизация скорости или точности по вашим потребностям Как это работает: Индикатор определяет опорные точки и трендовые линии на каждом выбранном таймфрейме При пробое трендовой линии рассчитывается целевая цена на основе измеренного движения Множественные цели с разных таймфреймов группируются в кластеры при схождении Каждый кластер получает оценку качества на основе нескольких факторов Высококачественные кластеры генерируют стрелки прогноза, показывающие потенциальные цели Система отслеживает достижение целей или потерю кластеров Руководство по настройкам: ⚡ Производительность Performance Mode: Выбор между Fast (200 баров), Balanced (500), Full (1000) или Unlimited 🎯 Кластеризация Max Cluster Distance (%): Максимальная разница цен для группировки (по умолчанию: 1.5%) Min Cluster Size: Минимальное количество целей для формирования кластера (по умолчанию: 2) One Direction per TF: Разрешить только один сигнал направления на таймфрейм Cluster Grace Period: Бары ожидания перед потерей кластера (по умолчанию: 10) ➡️ Стрелки прогноза Min Quality for Arrow: Минимальное качество кластера для создания стрелки (0.1-1.0) Quality Weights: Настройка важности каждого компонента качества Close Previous Arrows: Автозакрытие стрелок при появлении новых Use Trend Filter: Создавать стрелки только в направлении тренда Trend Filter Intensity: Чувствительность определения тренда (Высокая/Средняя/Низкая) 📅 Таймфреймы Pivot Length: Бары для расчета пивота (по умолчанию: 3) Timeframes 1-8: Выбор до 8 таймфреймов для анализа Визуализация Show Cluster Analysis: Отображение боксов и меток кластеров Show Cluster Boxes: Визуализация прямоугольников вокруг кластеров Show TP Lines: Отображение линий целевых цен Show Trend Filter: Визуализация облака тренда Show Prediction Arrows: Отображение направленных стрелок к целям Show Statistics Table: Отображение метрик эффективности Визуальные элементы: Зеленые/Красные боксы: Зоны кластеров с прозрачностью на основе качества Стрелки: Диагональные линии, указывающие на цели кластера Зеленые/Красные: Активные и отслеживающие Оранжевые: В периоде ожидания Серые: Кластер потерян Метки: Детальная информация о кластере: Задействованные таймфреймы Центральная цена (C) Оценка качества (Q) Оценки компонентов (D,C,R,S,M) Расстояние от текущей цены Маркеры результата: ✓ Зеленый: Цель успешно достигнута ✗ Красный/Серый: Кластер потерян Объяснение компонентов качества: D (Density/Плотность): Насколько плотно расположены TP относительно ATR C (Consistency/Согласованность): Насколько близки таймфреймы друг к другу R (Reachability/Достижимость): Вероятность достижения цели с учетом расстояния и тренда S (Size/Размер): Количество TP в кластере (с убывающей отдачей) M (Momentum/Импульс): Соответствие текущему импульсу цены Лучшие практики: Начните с режима Balanced и настроек по умолчанию Используйте старшие таймфреймы (D, W) для более надежных кластеров Ищите кластеры с оценкой качества выше 0.7 Включите фильтр тренда для уменьшения ложных сигналов Настройте grace period в зависимости от вашего таймфрейма (старший TF = дольше grace) Следите за таблицей статистики для отслеживания эффективности индикатора Доступные алерты: Формирование высококачественного кластера (ВВЕРХ/ВНИЗ) Уведомления о достижении цели Предупреждения о потере кластера Disclaimer / Отказ от ответственности: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own analysis and risk management. Данный индикатор предназначен только для образовательных и информационных целей. Прошлые результаты не гарантируют будущих результатов. Всегда проводите собственный анализ и управление рисками.
Indicatore Pine Script®
di rulphru
Support Resistance By VIPIN(30D • MTF • Safe v4)This script automatically detects and plots strong Support & Resistance levels based on pivot highs/lows within a custom lookback period. Key features: • Lookback window (days): Select how many past days to scan for pivots. • Pivot strength: Adjustable left/right bars to filter minor vs. strong swings. • Clustering: Nearby levels are merged using either ATR-based proximity or percentage proximity. • Touches count: Each level records how many times it has been tested/retested. • Ranking: Top N strongest support and resistance levels are highlighted. • Multi-Timeframe (MTF): Option to detect levels from a higher timeframe while viewing a lower chart. • Labels: Show price, touch count, and timeframe (optional), with ability to shift labels to the right of current price action. • Custom styling: Colors, line width, and label placement are fully configurable. This tool is designed for traders who want to quickly identify key zones of market reaction. It is not a buy/sell signal generator, but an analytical aid to help you make better decisions alongside your own strategy. ⸻ 🔹 How to use 1. Apply on your desired symbol and timeframe. 2. Adjust pivot length and lookback to control sensitivity. 3. Use ATR or % proximity for clustering based on market volatility. 4. Combine levels with your own price action, volume, or strategy confirmation. This script is created for educational purposes to help traders understand how Support and Resistance zones are formed in the market. It shows how price reacts to certain levels by: • Identifying pivots (swing highs and lows). • Merging nearby levels into zones using ATR or percentage-based proximity. • Counting how many times a level has been tested or touched. • Highlighting the most relevant zones with labels. By studying these zones, traders can learn: • How markets often respect previously tested levels. • Why certain levels act as barriers (support or resistance). • How different timeframes can show different key levels. ⚠️ Note: This indicator is intended as a learning & analysis tool only. It does not provide buy/sell signals or guarantee results. Always combine it with your own knowledge, analysis, and risk management.
Indicatore Pine Script®
di VipinTraders
Consecutive Candle Body Expansion with VolumeConsecutive Candle Body Expansion with Volume This tool is designed to help traders identify moments of strong directional momentum in the market. It highlights potential buy and sell opportunities by combining candlestick behavior with volume confirmation. ✨ Key Features Detects when the market shows consistent momentum in one direction. Filters signals with volume confirmation, avoiding low-activity noise. Highlights possible continuation signals for both bullish and bearish moves. Works on any asset and any timeframe — from scalping to swing trading. 🛠 How to Use Green labels suggest potential buying opportunities. Red labels suggest potential selling opportunities. Best used in combination with your own risk management rules and other indicators (like support/resistance or moving averages). ⚠️ Note: This is not financial advice. Always backtest before applying in live trading.
Indicatore Pine Script®
di Delta-Ex-research
1
Near New High ScreenerA simple indicator intended to be used in a pinescript scanner to find stocks that are re reaching highs after a pullback or base formation. To use add it as a favourite indicator so it can be selected in a pinescript scanner. In the settings you can select whether to use the highest high or highest close for the previous high (defaults to close) and whether to use the all time high or the high from the last X days (defaults to 252 days). Once opened in a pine scanner apply to a watchlist and scan. Stocks with a positive % have broken out from a previous high today, those with a negative % are that % away from the previous high. You can sort by the “Pct from Prev High%” column or use the scanner filter to filter for stocks between two values, for example between 0 and -5% to find stocks near a new high, or >0 to find stocks that have broken out today.
Indicatore Pine Script®
di ldnandrew
Gold Buy Sell Signals V2* This custom **30-minute breakout indicator** is designed especially for **Gold (XAUUSD) traders**. It highlights three key candles of the day (IST 5:30 AM, 1:30 PM, and 6:30 PM), marking their **high and low levels** as support and resistance zones. 👉 By following this structured breakout strategy, traders can consistently capture **40–50 pips** in Gold with high accuracy, while keeping trading decisions simple and rule-based. ---
Indicatore Pine Script®
di prabhdeepstoor
Unicorn Model[Pro++]by TriummWhat is the Unicorn Model? The Unicorn Model is an intraday trading setup taught by ICT that combines: Liquidity raids (stop hunts) Market structure shift (BOS/CHOCH) Fair Value Gap (FVG) entry Key time & session context It’s called the “Unicorn” because it’s a rare but high-probability model that delivers very clean moves when it sets up correctly. 🔹 Core Components of the Unicorn Model Liquidity Grab (Sweep) Market first raids a key level (previous day’s high/low, session high/low, Asian range). This removes liquidity and traps traders. Market Structure Shift (MSS / CHoCH) After the sweep, price breaks structure in the opposite direction. This signals a shift in order flow. Fair Value Gap (FVG) or Order Block Entry Wait for price to retrace into the imbalance (FVG) or OB formed by the move. Entry is taken here in line with the new direction. Time & Session Context Usually forms around London or New York Killzones (ICT emphasizes time of day). Often tied to daily bias (using daily open, previous day high/low, etc.). Target Opposite liquidity pool (e.g., if raid was above → target below). Often uses ADR levels, previous session lows, or equal lows/highs. 🔹 Example Flow (Bearish Unicorn) Price trades above Asia High (liquidity sweep). Then forms a market structure shift (BOS to downside). A bearish FVG is left behind. Price retraces into that FVG. Entry short → target Asia Low or previous day low. 🔹 Why It’s Powerful Filters fake breakouts → wait for liquidity + structure shift. Adds precision → entry only on FVG retracement. Works best when aligned with daily bias (discount/premium model). 🔹 Key Confluences for Unicorn Session killzones (London Open, NY AM/PM). Daily bias (above/below daily open). Liquidity sweep (old highs/lows). Fair Value Gap retracement. Targets = liquidity pools. ✅ In short: The ICT Unicorn Model = A “liquidity sweep + market structure shift + FVG retracement” setup, best taken in London/NY sessions, targeting opposite liquidity. It’s one of ICT’s cleanest intraday models for precision entries.
Indicatore Pine Script®
di Triumm4_Living
ict key level Pro++What Are ICT Key Levels? ICT Key Levels are specific price reference points that institutions, market makers, and smart money use to set liquidity pools and trading ranges. They aren’t random – they’re based on time, liquidity, and symmetry of price delivery. Think of them like "road signs" in the market where big decisions happen (stop hunts, reversals, or continuations). 🔹 Major ICT Key Levels Here are the most common ones: 1. Daily / Weekly / Monthly Highs & Lows Previous day’s high/low Previous week’s high/low Previous month’s high/low 📌 Why important? → These act as liquidity pools. Stops gather here. Price often sweeps them before reversing. 2. Midpoint Levels (50% Equilibrium) 50% of the daily/weekly/monthly range. ICT calls this equilibrium. 📌 Why important? → Above 50% = premium (expensive for buys, good for sells). → Below 50% = discount (cheap for buys, bad for sells). 3. Opening Price Levels Daily Open → sets intraday bias. Weekly Open → sets weekly bias. Midnight Open (00:00 NY Time) → ICT uses this as a daily anchor. 📌 Why important? → If price stays above the daily/weekly open → bullish bias. → If below → bearish bias. 4. Session Highs & Lows Asia Range High/Low London Session High/Low New York Session High/Low 📌 Why important? → Asia range often acts as liquidity for London to raid. → London high/low often becomes setup for NY session moves. 5. Yearly & Quarterly Highs/Lows The yearly high/low is a massive liquidity pool. Quarterly levels (Q1, Q2, Q3, Q4) also attract institutional activity. 📌 Why important? → Acts as long-term magnets for swing trading. 6. Figures & Round Numbers (Big Figures) 00.00, 50.00, 25.00, 75.00 levels. Example: EURUSD → 1.1000, 1.1050, 1.1100. 📌 Why important? → Institutions like clean, even levels for orders. 🔹 How ICT Uses Key Levels Liquidity Concept Price raids old highs/lows to grab stops. After liquidity grab → reversal or continuation. Bias Filter Above daily open? → bullish bias. Below daily open? → bearish bias. Confluence with Setups Order blocks + Fair Value Gaps (FVGs) + Key Levels = high probability. 🔹 Example Trading Scenarios London Judas Swing → Price raids Asian high (key level) then reverses for London trend. Daily Bias → If price trades above daily open & rejects previous day’s low = bullish bias. Weekly Expansion
Indicatore Pine Script®
di Triumm4_Living
Ict kill zone Pro++What is Season High / Low? A Seasonal High/Low refers to price levels (highs or lows) that tend to form during specific times of the year (or season). It’s based on the idea that markets have repeating cycles influenced by: Economic reports (quarterly earnings, GDP releases, crop harvest cycles, etc.) Institutional flows (quarterly rebalancing, end-of-year tax moves) Natural/commodity cycles (oil demand in winter, crop harvest in fall, etc.) 🔹 Types of Seasonal Highs & Lows Annual Season High/Low Highest and lowest price of the year. Example: EURUSD 2023 high/low. Useful for long-term key levels. Quarterly Season High/Low Highs & lows of each 3-month quarter. Institutions rebalance portfolios each quarter → causing strong moves. Monthly Season High/Low Highs & lows formed within each calendar month. Often used for swing trading. 🔹 Why Season High/Low Matters Liquidity Pools → Old highs/lows attract stop hunts (smart money loves to raid seasonal levels). Bias Reference → If price is above yearly low but below yearly high → you know the market is “inside the yearly range.” Institutional Targets → Many funds benchmark against yearly/quarterly levels. Confluence → Combining OBs, FVGs, ADR, and seasonal highs/lows = stronger zones. 🔹 Example (ICT style use) If price trades near the yearly low, expect either: ✅ A liquidity sweep (false break) before rally, or ✅ A breakdown continuation if institutions want discount pricing. If price trades near the quarterly high, it’s often used as a “draw on liquidity” target. 🔹 How Traders Use Them Mark Yearly High & Low (from January – December). Mark Quarterly Highs/Lows (Q1, Q2, Q3, Q4). Watch how price reacts when approaching these zones: Liquidity sweeps Reversals Breakouts ✅ In short: Season Highs & Lows = Key reference points from specific time periods (yearly, quarterly, monthly). They act as institutional liquidity magnets and are critical for identifying long-term bias, liquidity raids, and market cycle transitions.
Indicatore Pine Script®
di Triumm4_Living
session High/Low (Triumm)// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © Triummm //@version=6 indicator("Trading session High/Low (Triumm)", overlay=true) //──────── Fixed timezone (NY clock = UTC‑4) ──────── sessTz = "Etc/GMT+4" //──────── Toggle for swept-dot feature ───────────── useSweepDots = input.bool(true, "Dot swept lines", tooltip="If ON, a level turns dotted once price sweeps it AFTER the session closes") //──────── Session inputs ──────────────────────────────────────────────────── // Asia showAsia = input.bool(true, "Show Asia", group="Asia Session") asiaRange = input.session("1800-0300", "Asia Time (UTC‑4) 24h", group="Asia Session") asiaCol = input.color(color.rgb(243, 33, 33), "Color", group="Asia Session") asiaW = input.int(1, "Width", minval=1, maxval=5, group="Asia Session") asiaStyleStr = input.string("Solid", "Line Style", options= , group="Asia Session") asiaTransp = input.int(0, "Transparency (%)", minval=0, maxval=100, group="Asia Session") // London showLon = input.bool(true, "Show London", group="London Session") lonRange = input.session("0300-0930", "London Time (UTC‑4) 24h", group="London Session") lonCol = input.color(color.rgb(76, 153, 255), "Color", group="London Session") lonW = input.int(1, "Width", minval=1, maxval=5, group="London Session") lonStyleStr = input.string("Solid", "Line Style", options= , group="London Session") lonTransp = input.int(0, "Transparency (%)", minval=0, maxval=100, group="London Session") // New York showNY = input.bool(true, "Show NY", group="NY Session") nyRange = input.session("0930-1600", "NY Time (UTC‑4) 24h", group="NY Session") nyCol = input.color(color.rgb(11, 173, 125), "Color", group="NY Session") nyW = input.int(1, "Width", minval=1, maxval=5, group="NY Session") nyStyleStr = input.string("Solid", "Line Style", options= , group="NY Session") nyTransp = input.int(0, "Transparency (%)", minval=0, maxval=100, group="NY Session") //──────── Helpers ─────────────────────────────────────────────────────────── styleFromStr(s) => s == "Dashed" ? line.style_dashed : s == "Dotted" ? line.style_dotted :line.style_solid resetStyleIfNeeded(l, baseStyle) => if not na(l) line.set_style(l, baseStyle) // map styles asiaStyle = styleFromStr(asiaStyleStr) lonStyle = styleFromStr(lonStyleStr) nyStyle = styleFromStr(nyStyleStr) //──────── Asia state ──────────────────────────────────────────────────────── var float asia_hi = na var float asia_lo = na var int asia_hi_bi = na var int asia_lo_bi = na var line asia_hL = na var line asia_lL = na var bool asia_hi_sw = false var bool asia_lo_sw = false inAsia = not na(time(timeframe.period, asiaRange, sessTz)) newAsia = inAsia and not inAsia if newAsia line.delete(asia_hL), line.delete(asia_lL) asia_hi := high, asia_lo := low asia_hi_bi := na, asia_lo_bi := na asia_hi_sw := false, asia_lo_sw := false if showAsia and inAsia if (na(asia_hi_bi) and bar_index > bar_index ) or high > asia_hi asia_hi := high, asia_hi_bi := bar_index, asia_hi_sw := false if na(asia_hL) asia_hL := line.new(asia_hi_bi, asia_hi, asia_hi_bi + 1, asia_hi, xloc.bar_index, extend.right,color.new(asiaCol, asiaTransp), asiaStyle, asiaW) else line.set_xy1(asia_hL, asia_hi_bi, asia_hi) line.set_xy2(asia_hL, asia_hi_bi + 1, asia_hi) line.set_style(asia_hL, asiaStyle) if (na(asia_lo_bi) and bar_index > bar_index ) or low < asia_lo asia_lo := low, asia_lo_bi := bar_index, asia_lo_sw := false if na(asia_lL) asia_lL := line.new(asia_lo_bi, asia_lo, asia_lo_bi + 1, asia_lo, xloc.bar_index, extend.right,color.new(asiaCol, asiaTransp), asiaStyle, asiaW) else line.set_xy1(asia_lL, asia_lo_bi, asia_lo) line.set_xy2(asia_lL, asia_lo_bi + 1, asia_lo) line.set_style(asia_lL, asiaStyle) // sweep detection AFTER session canSweepAsia = useSweepDots and not inAsia if showAsia if canSweepAsia if not asia_hi_sw and not na(asia_hi_bi) and high > asia_hi // strict break line.set_style(asia_hL, line.style_dotted), asia_hi_sw := true if not asia_lo_sw and not na(asia_lo_bi) and low < asia_lo // strict break line.set_style(asia_lL, line.style_dotted), asia_lo_sw := true else resetStyleIfNeeded(asia_hL, asiaStyle) resetStyleIfNeeded(asia_lL, asiaStyle) if not showAsia line.delete(asia_hL), line.delete(asia_lL) asia_hL := na, asia_lL := na //──────── London state ───────────────────────────────────────────────────── var float lon_hi = na var float lon_lo = na var int lon_hi_bi = na var int lon_lo_bi = na var line lon_hL = na var line lon_lL = na var bool lon_hi_sw = false var bool lon_lo_sw = false inLon = not na(time(timeframe.period, lonRange, sessTz)) newLon = inLon and not inLon if newLon line.delete(lon_hL), line.delete(lon_lL) lon_hi := high, lon_lo := low lon_hi_bi := na, lon_lo_bi := na lon_hi_sw := false, lon_lo_sw := false if showLon and inLon if (na(lon_hi_bi) and bar_index > bar_index ) or high > lon_hi lon_hi := high, lon_hi_bi := bar_index, lon_hi_sw := false if na(lon_hL) lon_hL := line.new(lon_hi_bi, lon_hi, lon_hi_bi + 1, lon_hi, xloc.bar_index, extend.right, color.new(lonCol, lonTransp), lonStyle, lonW) else line.set_xy1(lon_hL, lon_hi_bi, lon_hi) line.set_xy2(lon_hL, lon_hi_bi + 1, lon_hi) line.set_style(lon_hL, lonStyle) if (na(lon_lo_bi) and bar_index > bar_index ) or low < lon_lo lon_lo := low, lon_lo_bi := bar_index, lon_lo_sw := false if na(lon_lL) lon_lL := line.new(lon_lo_bi, lon_lo, lon_lo_bi + 1, lon_lo, xloc.bar_index, extend.right, color.new(lonCol, lonTransp), lonStyle, lonW) else line.set_xy1(lon_lL, lon_lo_bi, lon_lo) line.set_xy2(lon_lL, lon_lo_bi + 1, lon_lo) line.set_style(lon_lL, lonStyle) // sweep detection AFTER session canSweepLon = useSweepDots and not inLon if showLon if canSweepLon if not lon_hi_sw and not na(lon_hi_bi) and high > lon_hi line.set_style(lon_hL, line.style_dotted), lon_hi_sw := true if not lon_lo_sw and not na(lon_lo_bi) and low < lon_lo line.set_style(lon_lL, line.style_dotted), lon_lo_sw := true else resetStyleIfNeeded(lon_hL, lonStyle) resetStyleIfNeeded(lon_lL, lonStyle) if not showLon line.delete(lon_hL), line.delete(lon_lL) lon_hL := na, lon_lL := na //──────── New York state ─────────────────────────────────────────────────── var float ny_hi = na var float ny_lo = na var int ny_hi_bi = na var int ny_lo_bi = na var line ny_hL = na var line ny_lL = na var bool ny_hi_sw = false var bool ny_lo_sw = false inNY = not na(time(timeframe.period, nyRange, sessTz)) newNY = inNY and not inNY if newNY line.delete(ny_hL), line.delete(ny_lL) ny_hi := high, ny_lo := low ny_hi_bi := na, ny_lo_bi := na ny_hi_sw := false, ny_lo_sw := false if showNY and inNY if (na(ny_hi_bi) and bar_index > bar_index ) or high > ny_hi ny_hi := high, ny_hi_bi := bar_index, ny_hi_sw := false if na(ny_hL) ny_hL := line.new(ny_hi_bi, ny_hi, ny_hi_bi + 1, ny_hi, xloc.bar_index, extend.right, color.new(nyCol, nyTransp), nyStyle, nyW) else line.set_xy1(ny_hL, ny_hi_bi, ny_hi) line.set_xy2(ny_hL, ny_hi_bi + 1, ny_hi) line.set_style(ny_hL, nyStyle) if (na(ny_lo_bi) and bar_index > bar_index ) or low < ny_lo ny_lo := low, ny_lo_bi := bar_index, ny_lo_sw := false if na(ny_lL) ny_lL := line.new(ny_lo_bi, ny_lo, ny_lo_bi + 1, ny_lo, xloc.bar_index, extend.right, color.new(nyCol, nyTransp), nyStyle, nyW) else line.set_xy1(ny_lL, ny_lo_bi, ny_lo) line.set_xy2(ny_lL, ny_lo_bi + 1, ny_lo) line.set_style(ny_lL, nyStyle) // sweep detection AFTER session canSweepNY = useSweepDots and not inNY if showNY if canSweepNY if not ny_hi_sw and not na(ny_hi_bi) and high > ny_hi line.set_style(ny_hL, line.style_dotted), ny_hi_sw := true if not ny_lo_sw and not na(ny_lo_bi) and low < ny_lo line.set_style(ny_lL, line.style_dotted), ny_lo_sw := true else resetStyleIfNeeded(ny_hL, nyStyle) resetStyleIfNeeded(ny_lL, nyStyle) if not showNY line.delete(ny_hL), line.delete(ny_lL) ny_hL := na, ny_lL := na
Indicatore Pine Script®
di Triumm4_Living
OB old version by triummWhat is an Order Block? In Smart Money Concepts (SMC), an order block (OB) is the last bullish or bearish candle before a strong impulsive move that breaks structure. A Bullish OB → the last down candle before price moves strongly up. A Bearish OB → the last up candle before price moves strongly down. Order blocks represent areas where institutions or “smart money” placed large buy/sell orders. 🔹 What is a Volume Order Block? A Volume Order Block adds a volume filter to standard order blocks. Instead of just marking any OB, it highlights only those that are confirmed by abnormally high trading volume. 📌 Logic: When banks/institutions create OBs, they usually inject big volume into the market. Regular OBs may appear everywhere, but volume-based OBs filter out weak ones. 🔹 How to Identify a Volume Order Block Find the OB normally (last opposite candle before strong move). Check volume of that OB candle: If volume is above average → strong OB (institutions active). If volume is low/normal → weak OB (likely to fail). 🔹 Why Volume OB is Better Filters fake OBs → many OBs form, but not all are institutional. Higher probability zones → when price revisits that OB, it’s more likely to respect it. Confluence with liquidity → strong OB + high volume often means liquidity grab + institutional entry. 🔹 Example (Bullish Volume OB) Price is in a downtrend. A bearish candle with unusually high volume forms. Immediately after, price pushes up strongly, breaking structure. That bearish candle is now a bullish volume order block. When price returns to that level → strong buy reaction expected. 🔹 How Traders Use Volume OBs Entries → wait for price to revisit the OB + volume support. Stop Loss → usually below (bullish OB) or above (bearish OB). Target → next liquidity pool, FVG, or imbalance. Filtering → ignore OBs with low volume → less clutter on chart. ✅ In short: A Volume Order Block = A normal OB + confirmed by unusually high volume. It gives you higher quality supply & demand zones backed by institutional activity.
Indicatore Pine Script®
di Triumm4_Living
Gold Buy-Sell 30 MinHere’s a short, clear **description** you can use for your indicator 👇 **📌 Indicator Brief** This custom **30-minute breakout indicator** is designed especially for **Gold (XAUUSD) Traders**. It highlights three key candles of the day (IST 5:30 AM, 1:30 PM, and 6:30 PM), marking their **high and low levels** as support and resistance zones. 👉 By following this structured breakout strategy, traders can consistently capture **40–50 pips** in Gold with high accuracy, while keeping trading decisions simple and rule-based. ---
Indicatore Pine Script®
di prabhdeepstoor
Chart Patterns – [AlphaGroup.Live] # 📈 Chart Patterns Indicator – Stop guessing. This tool hunts down the **10 most powerful price action patterns** and prints them on your chart exactly where they happen — once. No spam. No noise. ### Patterns Detected: - Ascending / Descending / Symmetrical Triangles - Rising & Falling Wedges - Bull & Bear Flags - Bull & Bear Pennants - Double Tops & Bottoms - Head & Shoulders / Inverse Head & Shoulders ### Why Traders Use It: - **Clean execution**: Labels appear once, exactly where the structure forms. - **No clutter**: Lines are capped, anchored, and never stretch across your entire chart. - **Control**: Adjustable lookback, label spacing, and style. ### How to Apply: - Catch continuation setups before the breakout. - Identify reversal structures before the crowd. - Train your eyes to see what institutions use to move billions. ⚡ Want more? Get **100 battle-tested trading strategies**: 👉 (alphagroup.live) This isn’t theory. It’s structure recognition at scale. Use it — or keep drawing lines by hand and falling behind.
Indicatore Pine Script®
di AlphaGroupLive
BTC vs USDT Dominance + Info//@version=5 indicator("BTC vs USDT Dominance + Info", overlay=false) // Ambil data BTCUSDT (Bybit) btc = request.security("BYBIT:BTCUSDT", timeframe.period, close) // Ambil data USDT Dominance (USDT.D) usdtDom = request.security("CRYPTOCAP:USDT.D", timeframe.period, close) // Normalisasi biar skalanya sama btcNorm = (btc - ta.lowest(btc, 200)) / (ta.highest(btc, 200) - ta.lowest(btc, 200)) * 100 usdtNorm = (usdtDom - ta.lowest(usdtDom, 200)) / (ta.highest(usdtDom, 200) - ta.lowest(usdtDom, 200)) * 100 // Plot garis plot(btcNorm, color=color.green, title="BTC (Normalized)", linewidth=2) plot(usdtNorm, color=color.red, title="USDT Dominance (Normalized)", linewidth=2) // Deteksi arah candle terakhir btcUp = ta.change(btc) > 0 btcDown = ta.change(btc) < 0 // Label info otomatis if btcUp label.new(bar_index, btcNorm, "BTC Naik → USDT Dominance Turun", color=color.green, textcolor=color.white, style=label.style_label_up) if btcDown label.new(bar_index, btcNorm, "BTC Turun → USDT Dominance Naik", color=color.red, textcolor=color.white, style=label.style_label_down)
Indicatore Pine Script®
di KANZAPRO71
Bearish Breakaway Dual Session-FVGInspired by the FVG Concept: This indicator is built on the Fair Value Gap (FVG) concept, with a focus on Consolidated FVG. Unlike traditional FVGs, this version only works within a defined session (e.g., ETH 18:00–17:00 or RTH 09:30–16:00). See the Figure below as an example: Bearish consolidated FVG & Bearish breakaway candle Begins when a new intraday high is printed. After that, the indicator searches for the 1st bearish breakaway candle, which must have its high below the low of the intraday high candle. Any candles in between are part of the consolidated FVG zone. Once the 1st breakaway forms, the indicator will shades the candle’s range (high to low). Then it will use this candle as an anchor to search for the 2nd, 3rd, etc. breakaways until the session ends. Session Reset: Occurs at session close. Repaint Behavior: If a new intraday (or intra-session) high forms, earlier breakaway patterns are wiped, and the system restarts from the new low. Counter: A session-based counter at the top of the chart displays how many bullish consolidated FVGs have formed. Settings • Session Setup: Choose ETH, RTH, or custom session. The indicator is designed for CME futures in New York timezone, but can be adjusted for other markets. If nothing appears on your chart, check if you loaded it during an inactive session (e.g., weekend/Friday night). • Max Zones to Show: Default = 3 (recommended). You can increase, but 3 zones are usually most useful. • Timeframe: Best on 1m, 5m, or 15m. (If session range is big, try higher time frame) Usage: See this figure as an example 1. Avoid Trading in Wrong Direction • No Bearish breakaway = No Short trade. • Prevents the temptation to countertrade in strong uptrends. 2. Catch the Trend Reversal • When a bearish breakaway appears after an intraday high, it signals a potential reversal. • You will need adjust position sizing, watch out liquidity hunt, and place stop loss. • Best entries of your preferred choices: (this is your own trading edge) Retest Breakout Engulf MA cross over Whatever your favorite approach • Reversal signal is the strongest when price stays within/below the breakaway candle’s range. Weak if it breaks above. 3. Higher Timeframe Confirmation • 1m can give false reversals if new lows keep forming. • 5m often provides cleaner signals and avoids premature reversals. Summary This indicator offers 3 main advantages: 1. Prevents wrong-direction trades. 2. Confirms trend entry after reversal signals. 3. Filters false positives using higher timeframes. Failed example: Usually happen if you are countering a strong trend too early and using 1m time frame Last Mention: The indicator is only used for bearish side trading.
Indicatore Pine Script®
di DeLeBlanc
1
RSI Divergence Filtered by ZigZag RatiosRSI Divergence Filtered by ZigZag Ratios This indicator is designed to help traders identify potential trend reversals by finding RSI divergence and then confirming it with a unique filter based on price movements. It draws two ZigZag lines on your chart to visually represent these patterns. Core Functionality The indicator works by doing three main things: Price ZigZag (Blue Line): ZigZag line directly on the price chart. This line connects the significant high and low points of the price action, based on the ZigZag Deviation % you set. It's a way to simplify the trend and clearly see the "legs" or swings of the market. RSI ZigZag (Orange Line): It also draws a separate ZigZag line, colored orange, that follows the movement of the RSI indicator. This helps you visually track the highs and lows of the RSI at the same time as the price. Divergence Detection: The indicator continuously looks for divergence between the price ZigZag and the RSI. The Key Filter: ZigZag Ratio This is what makes the indicator unique. When a potential divergence is found, it doesn't just display a signal immediately. It performs an extra check: It compares the size of the most recent price swing (the "last leg") to the size of the previous swing in the same direction. It then calculates a ratio. If the most recent swing is significantly smaller than the previous one, it confirms the signal and displays a label. This filtering mechanism aims to weed out weak signals and highlight divergences that occur after a period of slowing momentum. Bullish/Bearish Div Labels: When a valid, filtered divergence is found, the indicator will place a green Bullish Div label at the bottom of a low swing or a red Bearish Div label at the top of a high swing. User Inputs ZigZag Deviation %: This is the minimum percentage change required to form a new ZigZag pivot. The default value is set to 0.3618, which is a popular number in technical analysis. A lower value will capture more minor swings, while a higher value will focus only on larger, more significant ones. RSI Length: The number of bars used to calculate the RSI. The default is 6, but you can adjust this to your preference.
Indicatore Pine Script®
di Cmo22