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AI Stochastic 14/3 + EMA 50📊 Stochastic 14/3 + EMA 50 — Signal Tracker with Full Dashboard This indicator generates LONG and SHORT signals based on Stochastic %K/%D crossover in extreme zones, filtered by EMA 50 trend direction. Every signal is tracked with automatic TP and SL levels, and a comprehensive performance dashboard shows real-time stats across multiple time periods. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 STRATEGY LOGIC LONG Entry: • Stochastic %K was below 20 (oversold) • %K crosses above %D • Price is above EMA 50 (uptrend confirmed) SHORT Entry: • Stochastic %K was above 80 (overbought) • %K crosses below %D • Price is below EMA 50 (downtrend confirmed) Trade Management: • SL: 0.5% opposite side (adjustable) • TP: 1.5% favour side (adjustable) • Risk:Reward = 1:3 • No new trade while one is active ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 DASHBOARD (Top Right) Live performance table with 4 columns: • ALL — Full history stats • 30D — Last 30 days • 90D — Last 90 days • 180D — Last 6 months Each column tracks: ✅ Total Trades ✅ TP Wins / SL Losses ✅ Win Rate % ✅ Net PnL % ✅ Max Consecutive Losses ✅ 7x Consecutive Loss Counter Color coded: • Win Rate: Green (≥25%) / Red (<25%) • PnL: Green (positive) / Red (negative) • Max C.Loss: Green (<7) / Orange (7-9) / Red (10+) • 7x Loss: Green (0 hit) / Red (1+ hit) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 VISUAL FEATURES 📌 LONG / SHORT labels on entry 📌 TP / SL labels with price levels 📌 Green TP line + Red SL line + White entry line 📌 Consecutive streak counter (SL — 2, SL — 3, TP — 2, etc.) 📌 Only shows streaks when back-to-back same result ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 SETTINGS • SL % — Stop loss percentage (default: 0.5%) • TP % — Take profit percentage (default: 1.5%) • Both adjustable in indicator settings ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 BEST USED ON • Timeframe: 15min • Pairs: BTC, ETH, BNB, ADA, SOL, AVAX, XRP • Market: Crypto perpetual futures • Works on any pair — check the dashboard for each pair's performance before trading ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔹 ALERTS Built-in alert conditions: • "Long Signal" — fires on confirmed LONG entry • "Short Signal" — fires on confirmed SHORT entry • "TP Hit" — fires when take profit is reached • "SL Hit" — fires when stop loss is reached Supports webhook for automated trading. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ DISCLAIMER This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always manage your risk and never trade with money you cannot afford to lose. The author is not responsible for any financial losses.
지표
tanjironohara의
RS55 - Relative Strength vs Benchmark (for US Stocks)RS55 (or RS 55) is a powerful momentum indicator used in swing trading to identify stocks that are outperforming (or underperforming) a benchmark index over the past 55 trading days. It is not the same as the Relative Strength Index (RSI). RSI measures internal price momentum (overbought/oversold on a 0-100 scale). RS55 measures external relative strength — how a stock is performing compared to the broader market (e.g., Nifty 50 in India or S&P 500 in the US). ### Why RS55 is powerful (the "Power of RS 55") - When RS55 is positive (above the zero line, usually colored green), the stock has outperformed the benchmark over the last 55 days. - When RS55 is negative (below the zero line, usually colored red), the stock has underperformed. - Back testing shows that stocks turning RS55 positive often continue strong momentum, especially when combined with other confirmations like RSI(14) > 50 and an up trending price. This is why it's called the "Power of RS 55" — it filters for true market leaders with high conviction. ### Mathematical calculation of RS55 The formula is straightforward and compares percentage performance over exactly 55 bars (usually daily): - Multiply by 100 to show as percentage outperformance. - RS55 > 0 → Stock outperformed the benchmark in the last 55 days (green/strong). - RS55 < 0 → Stock underperformed (red/weak). This is plotted as a line or histogram in a separate pane below the price chart, with a clear zero line.
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maunishq의
Daily Bias - ICT Logic [LliterH]█  OVERVIEW The Daily Bias ICT Next Day Model LliterH is a specialized institutional tool designed to automate the "Next Day Model" of price action narrative. By analyzing the relationship between the daily close and Previous Day liquidity levels (PDH/PDL), this indicator projects a high-probability directional bias for the upcoming session. █  THE LOGIC: 4 MARKET SCENARIOS This script identifies the exact closing conditions of the daily candle to define the following states: Bullish Continuation: Triggered when the daily candle closes above the Previous Day High (PDH). Bearish Continuation: Triggered when the daily candle closes below the Previous Day Low (PDL). Bullish Reversal: Occurs when price sweeps the PDL but fails to close below it, closing back inside the range. Bearish Reversal: Occurs when price sweeps the PDH but fails to close above it, closing back inside the range. Consolidation: Identified when price remains trapped within the previous range without expansion or a sweep, resulting in a Neutral bias. █  TIMEFRAME ALIGNMENT (HOW TO USE) For high-probability results, Lliter H recommends a strict top-down "Timeframe Alignment" approach: Daily Chart (The Narrative): Identify the projected Daily Bias. This is your directional "North Star." 1-Hour Chart (The POI): Locate a clear Point of Interest (POI), such as a Fair Value Gap (FVG) or Order Block, that aligns with your bias. 15m or 5m Chart (The Execution): Once price reaches the 1H POI, zoom into the 15-minute or 5-minute charts to find a market structure shift or entry trigger. █  THE CREATOR'S EDGE: FILTERS POI Confluence : Reversal signals are significantly more valid when they occur within a higher-timeframe POI. [* ]Candle Formation (OHLC/OLHC): Bullish Bias: Watch for the OLHC model (Open, Low-sweep, expansion High, Close). Bearish Bias: Watch for the OHLC model (Open, High-sweep, expansion Low, Close). Consolidation Avoidance: Staying sidelined during Neutral bias periods is a hallmark of professional risk management. █ FEATURES Automated PDH/PDL Mapping: High-definition tracking of institutional liquidity levels. Bias Dashboard : Real-time UI indicating the current session narrative. Historical Backtesting Labels : Automatically plots historical bias labels on the daily chart for deep statistical study. Non-Repainting Logic : Uses optimized request.security to ensure data remains fixed once the daily candle is closed. █  COMPLIANCE & RECOMMENDATION This script follows all TradingView professional publication requirements. It is a tool for directional projection, not a standalone signal generator. Professional results require the application of the Timeframe Alignment strategy mentioned above. █  DISCLAIMER Past performance is not indicative of future results. Trading involves a significant risk of loss. The "Next Day Model" is a probabilistic projection of market behavior. This script is provided for educational and technical analysis purposes only. Perform your own due diligence before any live execution.
지표
LliterH의
MTF Pressure Confluence This indicator analyzes buying and selling pressure inside each candle, normalizes it with volume, and evaluates who is in control of price. It then expands this logic across multiple timeframes to detect when market pressure aligns, providing clear visual signals and a structured decision framework. ⚙️ How It Works The script measures: Buying Pressure → strength of closes off the low Selling Pressure → strength of closes off the high Force → net difference between buyers and sellers Each value is: normalized using EMA weighted by volume smoothed to reduce noise From this, the script determines: momentum direction strength of participation whether pressure is increasing or fading 🧠 Multi-Timeframe Logic The indicator evaluates pressure conditions on: 1 Minute 3 Minute 5 Minute Each timeframe is classified as: Bullish Bearish Neutral Fresh Crossover (early signal) A signal is only generated when: ✔ all selected timeframes align ✔ momentum confirms (force + slope) ✔ optional filters (EMA / VWAP) are satisfied 📊 Dashboard Table The built-in table provides a full breakdown of market conditions: State → BULL / BEAR / X-UP / X-DN Buy Slope → whether buying pressure is increasing Sell Slope → whether selling pressure is increasing Force → net directional bias (+ / -) Alignment → BUY / SELL when all timeframes agree This allows traders to quickly assess trend strength, timing, and structure. 🎯 Signals The script provides multiple signal layers: Cross Dots Aqua → bullish pressure crossover Orange → bearish pressure crossover Pane Signals Visual confirmation of alignment in the indicator window Main Chart Arrows BUY / SELL labels plotted directly on price Trigger only when full multi-timeframe confluence is reached 📈 Best Use Cases Intraday trading (1m–5m scalping) Momentum continuation setups Identifying early trend shifts Filtering out weak or conflicting signals ⚠️ Notes This indicator is based on price action and volume, not true bid/ask order flow Designed as a pressure-based momentum model, not a footprint replacement Best used alongside key levels, VWAP, or structure 🚀 Key Advantage Unlike traditional indicators, this tool combines: price structure volume weighting momentum expansion trend filtering multi-timeframe alignment ➡️ Delivering a clear, structured view of market control and timing
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XZoni의
MTF Ultimate Market State DashboardOverview The MTF Ultimate Market State Dashboard is a comprehensive visual tool designed to provide a bird's-eye view of market conditions across multiple timeframes (Current, 1H, 4H, and Daily). Instead of flipping through charts, this dashboard aggregates trend, momentum, and volatility data into a single, clean interface. Why this Mashup? Trading in isolation on a single timeframe often leads to "noise" traps. This script combines four core technical pillars to confirm high-probability setups: RSI & MA Synergy: Detects if the relative strength is trending above its average. Stochastic RSI: Identifies momentum shifts and overbought/oversold exhaustion. Money Flow Index (MFI): Integrates volume-weighted momentum to ensure price moves are backed by liquidity. ATR Volatility: Monitors if the current price action is expanding or contracting relative to historical norms. How it Works (The Logic) The dashboard calculates data from higher timeframes using request.security. RSI MA Trend: Signals a 'BUY' if the RSI Moving Average is below 50 but sloping upwards (recovery phase), and 'SELL' if above 50 but sloping downwards (distribution phase). RSI vs MA: A direct comparison. If RSI > MA and rising, it indicates bullish dominance. Final Signal: This is a confluence logic. A 'BUY' signal is triggered only when the RSI Trend, RSI vs MA, and Stoch RSI are all bullish AND the Money Flow Index is above 50. Repaint Protection: Users can toggle Allow Repaint. When off, it uses closed-bar data (lookahead_off) to ensure signals are stable and reliable for live trading. How to Use Trend Alignment: Look for columns where multiple timeframes show the same color (Confluence). Scalping: Use the 'Current TF' row for quick entries while ensuring the '4H' or '1D' trend is in your favor. Volatility Filter: Use the 'Volatility' row to avoid trading in "dead" markets where ATR is significantly below its average.
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AlgoRTM의
Long/Short Signals for Trend Identification (15-Minute Chart)This is a Pine Script for long and short signals, visualized to help confirm the trends of the stocks I am considering. This chart combines the current price position based on LRL (280, 85, 33) with Bollinger Bands (30, 1.4). The key idea in using this chart is: When long or short signals are first detected, it may indicate a potential trend reversal. When signals continue to appear consecutively, it suggests a strong ongoing price trend. Periods with no signals can be interpreted as sideways movement, and it may be better to stay on the sidelines during these phases. I hope this can be even slightly helpful in your trading.
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hoonidada의
XAUUSD Quant SMC (10Min)Estrategia XAUUSD: Convergencia de Estructura y Optimización de Descuento (SMC) Esta estrategia automatizada para Pine Script v5 implementa un modelo de ejecución basado en Smart Money Concepts (SMC), priorizando la preservación de capital mediante un control de riesgo algorítmico y filtros de tendencia de alta jerarquía. Fundamentos Teóricos El sistema opera bajo la premisa de que el precio se mueve de forma fractal, buscando liquidez tras quiebres de estructura confirmados. Se enfoca exclusivamente en el mercado del Oro (XAUUSD) debido a su alta volatilidad y profundidad de mercado, factores necesarios para la validación de zonas de oferta y demanda. 1. Filtros de Direccionalidad de Alta Jerarquía La estrategia no busca reversiones. Utiliza un motor de análisis multi-timeframe (MTF) para asegurar que la ejecución en micro-tendencias (10Min) esté alineada con el flujo de órdenes institucional de marcos temporales mayores: Contexto Diario (1 Semana): Define el sesgo direccional a largo plazo. Estructura de 4 Horas (4H): Actúa como filtro de impulso para evitar periodos de distribución o acumulación lateral. 2. Confirmación de Estructura (BOS) La validación de la entrada requiere un Break of Structure (BOS) en la temporalidad de 15 minutos. Este evento técnico confirma que el mercado ha superado un punto de pivot relevante, validando la continuación del movimiento previo y estableciendo un nuevo rango de negociación. 3. Ejecución en Zona de Descuento Una vez detectado el BOS, el algoritmo proyecta niveles de retroceso de Fibonacci. La entrada se programa en el nivel 0.618, buscando optimizar la relación Riesgo/Beneficio (RR). Este nivel representa la "zona de descuento" (en compras) o "zona premium" (en ventas), donde la probabilidad de continuación es estadísticamente superior tras la toma de liquidez interna. Protocolo de Gestión de Riesgo Cuantitativo El núcleo de la estrategia es su gestión de riesgo inflexible, diseñada para mitigar el impacto de las rachas de pérdidas y evitar el sobre-apalancamiento. Riesgo Fijo: 1% del valor actual del capital por cada operación. El lotaje se recalcula dinámicamente en cada señal en función de la distancia al Stop Loss. Ventana Operativa: Limitada de 07:00 a 13:00 (GMT+1). Este rango captura la volatilidad de apertura de Londres y el solapamiento inicial con Nueva York, periodos donde los BOS tienen mayor validez. Límites de Pérdida (Circuit Breakers): Diario: -1% (Límite de un trade por día). Semanal: -3% acumulado. Mensual: -6% acumulado. Objetivo Semanal (Safe Exit): Alcanzado un beneficio del +3% en la semana, el script cesa la actividad operativa para asegurar el rendimiento y evitar el riesgo de mercado innecesario. Especificaciones Técnicas y Configuración Activo: XAUUSD. Temporalidad de ejecución: 10Min (Análisis en 1 Semana, 4H, 15M). Versión de Script: Pine Script v5 (Sin Lookahead Bias). Nivel de Entrada: 0.618 Fibonacci. Stop Loss: Colocado en el origen del impulso (inicio del rango de Fibonacci). Notas de Implementación Para obtener resultados de backtesting realistas, se recomienda configurar un deslizamiento (Slippage) de 3 a 5 ticks y aplicar comisiones equivalentes a las de una cuenta ECN (Raw Spread). El script utiliza funciones de seguridad para solicitar datos de otras temporalidades solo al cierre de cada vela, eliminando cualquier sesgo de anticipación de datos futuros.
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kelvinibarey의
SMA and Day ATP(Variable)**Why Variable Anchored VWAP (ATP 2D, 3D, etc.) Changes the Way You Read Price** Most traders stick to fixed anchors like Daily, Weekly, or Monthly VWAP. That works—but it also locks you into rigid cycles that don’t always match how the market is actually moving. **Variable Anchored VWAP (2D, 3D, 5D…) introduces flexibility.** Instead of forcing price into calendar-based structure, you define the accumulation window. --- ### 🔹 What this logic really does * Aggregates price × volume over a **custom multi-day block** * Resets after a defined number of sessions (e.g., every 2 or 3 days) * Tracks the **average participation price across that block** This creates a **mid-frequency structure** between Daily and Weekly. 🔹 Key benefits **1. Captures short-term institutional positioning** Daily VWAP is too reactive. Weekly VWAP is too slow. 👉 2D/3D VWAP sits in between—often aligning with **real accumulation/distribution phases**. **2. Filters intraday noise** Single-day VWAP is sensitive to: * Opening volatility * News spikes * Low liquidity moves 👉 Multi-day anchoring smooths this out, giving a **cleaner directional bias**. **3. Improves trend clarity** When price holds above a 2D/3D VWAP: * It reflects **sustained buying across sessions**, not just intraday strength Same logic applies for bearish structure. **4. Early trend detection vs Weekly VWAP** Weekly VWAP reacts late. 👉 A 2D or 3D anchor often shifts direction **before weekly confirmation**, helping you catch moves earlier without dropping to noisy lower timeframes. **5. Better pullback zones** Variable VWAP acts as a **dynamic support/resistance band**: * Rising VWAP → pullbacks into it often get bought * Falling VWAP → rallies into it often get sold Because it represents **multi-session average cost**, not just one day. 🔹 Practical structure * **Daily VWAP → execution** * **2D / 3D VWAP → short swing bias** * **Weekly VWAP → dominant trend** When these align, probability improves significantly. 🔹 Important distinction This is **not a rolling VWAP**. ✔ Fixed block logic: Day 1–2 → reset Day 3–4 → reset It reflects **discrete accumulation phases**, not continuous averaging. 🔹 Final thought Markets don’t move in neat calendar units. They move in **phases of accumulation and expansion**. Variable Anchored VWAP helps you track those phases more realistically—bridging the gap between noise and structure.
지표
akghuf19ag24의
1
Quantum Smart OB ProWelcome to the Quantum Smart OB Pro, the ultimate evolution in Smart Money Concepts trading. Most SMC indicators flood your chart with weak Order Blocks that fail constantly. This system changes the game by introducing the "Powerful Trade Zone" logic. It actively filters out market noise by hiding standard Order Blocks by default, only revealing the highest probability zones where a Break of Structure (BOS) is accompanied by a massive Fair Value Gap (FVG). Key Features: Dynamic Filtering: Hides weak setups and highlights massive "OB+FVG" convergence zones. Wick to Wick Precision: Built-in "Wick to Wick" drawing method ensures you don't miss entries when price only taps the extreme of the block. Liquidity Sweeps & BOS: Tracks structural shifts and smart money stop-hunts with clean, non-intrusive lines. Customizable: Want to see everything? You can easily toggle standard OBs and individual FVG boxes back on in the settings. Designed to keep your charts completely uncluttered while pointing you exactly where the institutional volume is stepping in.
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sohaibnori의
Nifty Institutional Trend Rider omHow this manages your "Big Lots" and "Cutting": High Conviction Entry: It only enters CE when the RSI is above 60. This means you aren't just guessing; you are entering when momentum is already strong. The "VWAP" Guard: Big players (FIIs/DIIs) use VWAP. By staying on the same side as VWAP, you avoid being "trapped" by big institutional sell-offs. Automatic "Cutting" (Trailing SL): The red line that appears on your chart when you are in a trade is your Trailing Stop Loss. As Nifty moves in your favor, this line moves up. If Nifty reverses by 0.5% (you can change this in settings), the script will signal to "Cut" the trade immediately. This protects your capital on big lot sizes. Long Term Trend: By using the 15-minute timeframe instead of 5-min, you will catch the moves that last for 2–3 hours (or even until the 3:30 PM close), which is where the real money is made in Nifty options.
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sojiritesh2003의
EMA-RSI-ATR Strategy (AXSUSDT - D)Estrategia EMA-RSI-ATR (AXSUSDT - Diario) Esta es una estrategia cuantitativa de seguimiento de tendencia (Trend Following) diseñada para operar en los mercados de criptomonedas de alta y media capitalización. El sistema utiliza una combinación de filtros de tendencia, fuerza relativa y volatilidad para identificar entradas de alta probabilidad en activos volátiles. 🎯 Filosofía del Sistema El objetivo es capturar el "cuerpo" de los movimientos direccionales fuertes. La estrategia está programada para ignorar mercados en consolidación (laterales) y solo ejecutar órdenes cuando el momentum y la volatilidad confirman que un movimiento tiene altas probabilidades de continuación. 🛠️ Configuración de Indicadores (El "Core") Estructura de Tendencia (Doble EMA): Utilizamos la EMA 21 (rápida) y la EMA 89 (lenta). Solo se permiten compras si la EMA 21 está por encima de la EMA 89 y el precio cierra por encima de la media rápida. Esto garantiza que operamos a favor del flujo institucional. Filtro de Momentum (RSI de 14 periodos): Rango Operativo: 55 - 75. Este filtro es crítico: el valor de 55 asegura que hay fuerza compradora real, mientras que el límite de 75 nos protege de entrar en "clímax" de compras donde el riesgo de retroceso es máximo. Filtro de Volatilidad (ATR): Comparamos el ATR actual contra su media móvil de 20 periodos. Si el mercado no tiene volatilidad (está plano), la estrategia no opera. Esto evita el "desgaste" de la cuenta por señales falsas en rangos estrechos. 🛡️ Gestión de Riesgo y Salidas La estrategia prioriza la supervivencia del capital mediante niveles dinámicos basados en la volatilidad del activo: Stop Loss Técnico: Situado a 2.5x ATR del precio de entrada. Esto permite que cada criptomoneda "respire" según su propia volatilidad. Take Profit: Situado a 4.0x ATR. Buscamos un ratio riesgo/beneficio positivo superior a 1:1.5. Costes de Operación: El script ya descuenta automáticamente un 0.075% de comisión y aplica 2 ticks de slippage para reflejar resultados de trading real en exchanges como Binance, Bybit o OKX. 📈 Recomendaciones de Uso Activos: Ideal para BTC, ETH, SOL y otras Altcoins con volumen. Temporalidad: Optimizado para 4H y 1D. Gestión: El tamaño de posición por defecto es el 40% del equity, lo que permite una gestión de riesgo profesional (aprox. 1.5% - 2% de riesgo real sobre la cuenta por trade). 📝 Instrucciones de Instalación Copie el código en su Pine Editor. Añádalo al gráfico. En la pestaña de "Configuración", puede ajustar los multiplicadores de ATR y los niveles de RSI para adaptarlos a la volatilidad específica del par que esté analizando. Descargo de responsabilidad: Los resultados pasados no garantizan beneficios futuros. Realice su propio backtesting antes de operar con capital real. 💡 Un último consejo para tu publicación: Cuando estés publicando, en la sección de "Categoría", asegúrate de marcar: Trend Analysis (Análisis de tendencia) Momentum Volatilidad
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kelvinibarey의
market sentiment 3.3This code creates a Dynamic Multi-Index Dashboard on your TradingView chart. It is specifically designed to help an intraday or systematic trader (like you) identify momentum and trend direction across different timeframes. Here is the "chota" summary of what the code does: 1. Adaptive Timeframe Logic The table is not static. If you switch your chart from Daily (D) to Weekly (W), the table headers and calculations automatically change to show "Weekly % Chg" or "Day % Chg." It syncs perfectly with whatever timeframe you are viewing. 2. Momentum "Speed" Tracking (hRatio) It calculates a "Speed" score by comparing the current candle's body and volume against the average of the last 20 candles. * Stage 1: High explosive momentum (Great for directional selling). * Stage 2: Normal trending move. * Stage 3: Low volatility/Sideways (Best for eating Theta/Premium decay). 3. Open-to-Close Comparison Unlike standard indicators that compare "Today's Close vs Yesterday's Close," this code calculates the internal strength of the candle by comparing the Open of the period to the Current Price. * This tells you if the Bulls or Bears took control after the market opened. 4. Color-Coded Sentiment It uses a 6-column table to give you a "Heatmap" of the last 7 days (or weeks): * Green/Lime: Strong buying and positive closing. * Red/Orange: Strong selling and negative closing. * Gray: Flat/Sideways action. 5. Quick Decision Tool for 0.3 Delta For your option selling, it acts as a filter: * Don't fight the Speed: If "Speed" is high (Stage 1) and Status is "Positive," avoid selling Calls. * Harvest Theta: If Status is "Flat" and Speed is "Stage 3," it’s the perfect environment for Strangles or range-bound trades. In short: It’s a 7-day historical "health check" of the index that tells you exactly how fast the market is moving and where it stands relative to its opening price.
지표
sudhakar_kb의
OBV with Kalman Filter Improv [TechnicalZen]Reversals, Breakouts & Re-Entries: OBV with Kalman Filter Improv What This Indicator Does This indicator transforms On-Balance Volume into a visual momentum instrument. Raw OBV is normalized to a 0-100 scale, rendered as stair-step candles with a continuous color gradient, and overlaid with a dual Kalman-filtered ribbon that tracks the flow trend with adaptive precision. The result is a single pane that answers three questions at a glance: Is volume flow accumulating or distributing? How strong is the conviction? Where are the reversal, breakout, and re-entry points? No footprint data required. No premium subscription needed. Pure price action and volume. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Why OBV Matters More Than Raw Volume Raw volume bars tell you how much traded. They do not tell you which direction the volume was pushing. A high-volume bar during a selloff looks identical to a high-volume bar during a breakout rally. On-Balance Volume assigns direction. When price closes up, the bar's volume is added. When price closes down, it is subtracted. The running total — OBV — reveals the persistent pressure beneath the surface. Rising OBV with flat price means accumulation. Falling OBV with rising price means distribution. These divergences are invisible on a standard volume histogram. This indicator takes OBV further by normalizing it into a bounded oscillator, smoothing it for clarity, and applying Kalman filtering for adaptive trend detection. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ How It Works The indicator processes OBV through four stages. Stage 1 — Normalize to 0-100 Raw OBV is an unbounded cumulative number that grows indefinitely. This makes it difficult to compare across time periods or instruments. The indicator applies a rolling min-max normalization over a configurable lookback window (default 100 bars), mapping OBV into a 0-100 scale. At 100, OBV is at its highest point within the lookback. At 0, its lowest. At 50, it sits at the midpoint of its recent range. This creates a bounded oscillator from a trending series. Stage 2 — Stair-Step Candles The normalized OBV is rendered as candles where each bar's open equals the previous bar's close. This creates seamless stair-step blocks with no gaps and no overlaps. The candles show the direction and magnitude of each bar's contribution to the flow — a tall green block means a strong volume push upward, a tall red block means aggressive selling pressure. Stage 3 — Position-Based Color Gradient Candle color is determined by where the candle sits in the 0-100 range, not merely whether it went up or down: Bright green (above 70) — strong bullish accumulation zone Yellow-green (50-70) — moderate bullish flow Yellow (around 50) — neutral, transition zone Orange (30-50) — weakening flow, bearish lean Red (below 30) — strong bearish distribution zone This gradient reveals the market's volume state at a glance. Candles clustered at the top in green signal sustained accumulation. Candles dropping through yellow into red signal a regime shift. Stage 4 — Dual Kalman Ribbon Two Kalman-filtered lines track the normalized OBV at different speeds: Short KF (default 20) — responsive to recent flow shifts Long KF (default 80) — tracks the underlying flow trend When the short line is above the long line, the ribbon fills bullish. When below, bearish. The Kalman filter adapts its responsiveness automatically — smoothing through noise while responding quickly to genuine regime changes. This is fundamentally superior to any fixed-length moving average. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Reading the Three Signals Reversals A reversal signal appears when candles have been clustered at one extreme (above 70 or below 30) and begin migrating toward the midline. The color gradient shifts — green fading to yellow, or red fading to orange. The Kalman ribbon begins to narrow as the short line approaches the long line. When the ribbon flips color, the reversal is confirmed by volume flow, not just price action. Breakouts A breakout appears as a large candle that punches through the 70 or 30 threshold line with expanding body size. The Kalman ribbon is already aligned in the breakout direction (short above long for bullish, below for bearish). This confirms that volume flow is supporting the price move — not just a wick or a fake breakout. Re-Entries After a breakout, price often pulls back. During a healthy pullback, the candles dip toward the midline (50) but the Kalman ribbon stays in the trend direction . Candles may turn yellow briefly but do not reach the opposite extreme. When candles resume their original color and move away from the midline, that is the re-entry — volume flow confirms the trend is intact. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Why Kalman Filtering — Not EMA, SMA, or Hull Traditional moving averages apply a fixed smoothing recipe regardless of market conditions. In a quiet market, they lag. In a volatile market, they whipsaw. The trader is forced to manually change the length setting as conditions change. The Kalman filter solves this structurally. It maintains an internal estimate of both the value and its uncertainty . On every bar, it computes a gain that automatically balances between trusting the new data and trusting its prediction. When data is noisy, the gain drops and the filter smooths aggressively. When a genuine shift occurs, the gain rises and the filter responds immediately. Two parameters control this behavior: R (Measurement Noise) — how much noise is expected in each bar's data. Higher values produce smoother output. Q (Process Noise) — how quickly the underlying trend is expected to change. Higher values allow faster adaptation. The dual-line ribbon (short KF vs long KF) combines the adaptive smoothing with trend direction detection. The crossover of two Kalman-filtered lines is more reliable than traditional MA crossovers because the filter has already absorbed the noise before the crossover happens. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Reading the Indicator The Candles Green blocks at top — strong sustained buying pressure. Trend is healthy. Red blocks at bottom — strong sustained selling. Downtrend confirmed by volume. Yellow/orange blocks at midline — indecision. Flow is balanced. Wait for direction. Color transition — the gradient shift (green to yellow, or red to orange) often leads price by several bars. The Kalman Ribbon Green fill (short above long) — volume flow trend is bullish Red fill (short below long) — volume flow trend is bearish Ribbon narrowing — trend weakening, potential flip ahead Ribbon widening — trend conviction increasing The Threshold Lines 70 line — overbought in volume flow terms. Sustained presence above = strong trend, not necessarily a sell signal. 50 line — equilibrium. Transitions through this level signal regime changes. 30 line — oversold in volume flow terms. Sustained presence below = strong downtrend. Line colors match the candle gradient — they shift with the regime. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Key Settings Normalization Lookback (default: 100) Rolling window for min-max scaling. Higher values produce smoother oscillation with fewer extremes. Lower values make the indicator more reactive to recent volume changes. HA Smoothing Passes (default: 1) Number of additional smoothing passes on the normalized OBV. 1 = standard stair-step. 2-3 = smoother candles with less noise. Short KF / Long KF Length (default: 20 / 80) Controls the responsiveness of the two Kalman lines. The gap between them determines how quickly the ribbon detects trend changes. Measurement Noise R (default: 0.01) Higher = smoother Kalman output. Lower = more reactive to each bar. Process Noise Q (default: 0.10) Higher = faster adaptation to regime shifts. Lower = more rigid trend following. Upper / Lower Threshold (default: 70 / 30) Defines the overbought/oversold boundaries for the volume flow oscillator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Divergence — The Most Powerful Signal When price makes a new high but the OBV candles fail to reach the upper zone (or are falling), volume is not confirming the move. This bearish divergence often precedes reversals by several bars. The Kalman ribbon will begin narrowing before the price chart shows any weakness. Conversely, when price makes a new low but OBV candles hold above the lower zone or begin rising, that is bullish divergence — accumulation is happening beneath the surface. The gradient coloring makes these divergences immediately visible. Price may look strong, but if the candles are orange instead of green, the volume story disagrees. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ What This Indicator Is Not It does not generate automated buy or sell signals . It provides visual regime information for the trader to interpret. It does not use footprint or order flow data . It is built on standard OBV which infers direction from price close. For actual bid/ask decomposition, a footprint-based indicator is required. It does not predict future price direction . It reveals the current state and trend of volume flow. What the market does with that flow is never guaranteed. It is not a standalone trading system . It is a confirmation and divergence detection tool designed to complement price action analysis. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, and it does not constitute a recommendation to buy, sell, or hold any financial instrument. All trading involves risk. Past performance of any signal, regime detection system, or volume analysis mechanism does not guarantee future results. The normalized OBV readings, Kalman-filtered trend lines, and color gradient zones represent a computational assessment of publicly available price and volume data. They are not predictions and should not be treated as certainties. On-Balance Volume assigns all of a bar's volume to one direction based solely on whether the close was higher or lower than the previous close. This is an approximation. A bar that closes up by one tick with heavy selling throughout will register as entirely bullish volume in OBV. Traders should be aware of this limitation. The Kalman filter parameters (R and Q) affect responsiveness. Poorly tuned parameters can produce either excessive lag or excessive noise. The default values are designed for general use but may require adjustment for specific instruments or timeframes. No indicator, algorithm, or model can account for all market variables including liquidity events, news-driven gaps, exchange outages, or sudden regime changes. Traders should always use independent risk management, position sizing, and their own judgment before entering any trade. By using this indicator, you acknowledge that you are solely responsible for your own trading decisions and that the authors accept no liability for any losses incurred.
지표
TechnicalZen의
3
Absorption Detector 2.0Detects institutional absorption patterns where large orders defend key price levels. Approximates order flow concepts using standard OHLCV data — no Level 2 or DOM data required. What is Absorption? Absorption occurs when one side of the market (buyers or sellers) aggressively attacks a price level, but price refuses to move. This happens because a large institutional order is sitting at that level, absorbing all incoming market orders. It's one of the strongest signals of institutional defense. Two Types of Absorption: BID Absorption (Bullish) — Sellers are aggressively hitting bids, volume is high, but price won't drop. Buyers are absorbing all selling pressure, defending support. Look for long entries after confirmation. ASK Absorption (Bearish) — Buyers are aggressively hitting asks, volume is high, but price won't rise. Sellers are absorbing all buying pressure, defending resistance. Look for short entries after confirmation. Signal Strength: BID / ASK (small) — Basic absorption detected. Score 1-3. BID🛡️ / ASK🛡️ (medium) — Strong absorption. Score 4. Multiple conditions confirmed. BID🛡️🛡️ / ASK🛡️🛡️ (large) — Extreme absorption. Score 5+. Highest conviction signal. x2+ (triangle) — Multiple tests at the same price level. The more times a level is tested and holds, the stronger the defense. Scoring System (0-6): The indicator scores each bar across five dimensions: volume intensity relative to average, body-to-range ratio (tiny body = tug of war), price stalling with high volume over multiple bars, close position combined with delta direction, and reversal candle confirmation. Info Panel: Real-time display of volume ratio, body/range percentage, candle close position, approximate delta direction, stalling detection, bid/ask absorption scores, and current signal status. How to Use: When you see a BID signal at a support level, it suggests buyers are defending. Wait for the next candle to confirm the bounce before entering long. When you see an ASK signal at resistance, sellers are defending. Wait for confirmation before entering short. Signals with the shield emoji and x2+ multiple tests are highest conviction. Features: - Works on any instrument, any timeframe - Approximates institutional absorption without Level 2 data - Three signal strength levels with scoring system - Multiple test detection at the same price level - Real-time info panel with absorption metrics - Bar coloring and background highlights - Built-in alert conditions for all signal types Note: This indicator approximates absorption using volume and price action. For true absorption confirmation, cross-reference with a DOM or Bookmap if available. Best results on instruments with reliable volume data (futures, stocks). CFD users should lower the Volume Spike Multiplier in settings.
지표
YUHUNGTsai의
1