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Major Historical S&R ZonesMajor Historical Support & Resistance Zones Major Historical Support & Resistance Zones is designed to objectively identify and rank the most significant historical support and resistance areas on any market or timeframe. Rather than relying on manually drawn horizontal lines, the indicator automatically analyses historical price action, groups significant reactions into zones, and scores each zone based on its historical importance. The indicator looks for meaningful pivot highs and lows, measures the strength of the subsequent price reaction using ATR (Average True Range), evaluates rejection quality through wick analysis, and clusters nearby reactions into a single support or resistance zone. When multiple significant reactions occur around the same price level, the zone becomes stronger and receives a higher score. Unlike traditional support and resistance indicators that simply draw every swing high and low, this indicator attempts to filter out market noise and highlight only the price areas that have repeatedly influenced market direction. Features * Automatically detects major historical support and resistance zones. * Clusters multiple historical reactions into a single zone. * Scores each zone based on reaction quality and historical significance. * Counts the number of independent reactions ("Hits") at each level. * Identifies Support/Resistance Flip zones where price has historically acted as both support and resistance. * Adjustable ATR sensitivity and clustering distance. * Built-in colour and scoring guide that can be enabled or disabled from the settings. Colour Guide 🟩 Green Zone * Price is currently above the zone. * The zone is acting as historical support. 🟥 Red Zone * Price is currently below the zone. * The zone is acting as historical resistance. 🟨 Orange Zone * Price is currently trading inside the historical zone. * This represents a decision area where the market is testing historical support or resistance. Understanding the Score Each zone receives a strength score based on: * Size of the historical reaction. * Quality of price rejection (wick analysis). * Number of independent reactions. * Support/Resistance Flip bonus. General interpretation: * 0–3 = Weak * 3–5 = Minor * 5–7 = Good * 7–10 = Strong * 10–15 = Very Strong * 15+ = Exceptional Higher scores indicate areas where price has historically shown stronger reactions. Understanding Hits Hits represent the number of separate significant reactions that occurred within the zone. General guide: * 1 = Single historical reaction * 2 = Confirmed level * 3 = Strong level * 4–5 = Very strong level * 6+ = Major historical level More hits generally indicate greater historical recognition of that price area. S/R Flip When a zone displays S/R Flip, it means that the same price area has historically acted as both: * Support * Resistance These zones often represent some of the strongest historical price levels because market participants have repeatedly recognised them from both directions. Suggested Workflow For the best results: 1. Open the Weekly chart to identify the strongest long-term support and resistance zones. 2. Switch to the Daily chart to refine those major levels. 3. Use the 4H, 8H, or 12H chart for additional precision. 4. Execute trades using your preferred lower timeframe confirmation. This top-down approach helps maintain focus on the most significant historical levels before refining entries. Inputs The indicator provides several adjustable settings: * Pivot Strength – Controls how significant a swing must be before it is considered. * ATR Length – Used to normalise reaction size across different markets. * Minimum Reaction ATR – Filters out weak reactions. * Cluster Distance ATR – Controls how close reactions must be before they are grouped together. * Zone Width ATR – Determines the thickness of each support/resistance zone. * Minimum Hits – Minimum number of reactions required before displaying a zone. * Minimum Score – Minimum strength score required before displaying a zone. * Display Options – Toggle labels and the built-in legend on or off. Best Practices This indicator is designed to identify historically important price zones, not generate buy or sell signals. The strongest trading opportunities often occur when: * High-scoring zones align with your own market structure analysis. * Higher timeframe zones overlap with lower timeframe confirmations. * Price shows clear rejection or acceptance at the identified historical levels. As with all technical analysis tools, this indicator should be used alongside sound risk management and your broader trading methodology rather than in isolation.
Indicateur
par dharamvyas
Edo Liquidity SweepsEdo Liquidity Sweeps — Detects Liquidity Sweeps of Swing Highs and Lows and Tracks Each One Through Detected, Confirmed and Faded States Markets move toward liquidity. Above every relevant swing high rests buy-side liquidity — the stops of short positions and the breakout buy orders waiting there. Below every relevant swing low rests sell-side liquidity — the stops of longs and the breakout sells. Those order clusters act as magnets: very often price travels precisely to reach them. A liquidity sweep is the moment that happens and is rejected — price wicks beyond the level to take the resting liquidity, then closes back on the other side, the classic trap that leaves breakout traders offside and frequently turns price around. Edo Liquidity Sweeps isolates that single event and, crucially, tracks what happens next. It marks each sweep on the chart and follows it through three clear states — Detected, Confirmed and Faded — so you can separate the sweeps that actually reversed price from the ones that failed, all validated on closed bars so the indicator does not repaint. It is the sweep specialist of the Edolab structure family, designed to pair with Edo Liquidity Zones, which maps the liquidity pools these sweeps take. LIQUIDITY LEVELS: SWING HIGHS AND LOWS Everything starts from the swings that define where liquidity sits. A swing high is confirmed when a candle has the highest high of its surroundings; a swing low, the lowest low. The size of that surroundings is set by the Swing Profile: Scalper (5 bars each side) tracks short-term liquidity for intraday work, Swing (10 bars, the default) is the balanced setting for 4H and daily, and Long Term (21 bars) watches only the liquidity of the major structures. Each confirmed swing high becomes a buy-side liquidity level to monitor, and each swing low a sell-side one, until price sweeps it. SWEEP DETECTION A sweep is detected, on closed bars only, when price pierces a level with a wick but closes on the opposite side. A bearish sweep: the candle's high takes a swing high (grabbing the buy-side liquidity) but the close stays below that level — price pierced the high and rejected it, an downward reversal is expected. A bullish sweep: the candle's low loses a swing low (grabbing the sell-side liquidity) but the close stays above it — price pierced the low and rejected it, an upward reversal is expected. At detection the indicator draws a dotted line at the swept level with a Sweep ▲ or Sweep ▼ label, and records the high and low of the sweep candle itself, which will later decide whether the sweep confirms or fails. A wick that pierces a level but closes back on the same side generates nothing. THREE STATES: DETECTED, CONFIRMED, FADED A sweep is not a one-candle signal. The indicator follows each one through three states, evaluated on every closed bar against the range of the sweep candle. Detected: the sweep has just happened and it is not yet known whether price will turn — a dotted line. Confirmed: price confirms the reversal by closing beyond the sweep candle's extreme in the expected direction — the line turns solid and bold and the label gains a ✓. Faded: price closes the opposite way, reclaiming the level, so the sweep failed — the line turns dashed and faded grey and the label gains a ✕. For a bullish sweep, confirmation is a close above the sweep candle's high and a fade is a close below its low; for a bearish sweep it is the mirror. This follow-through confirmation is what separates the operative sweeps from the anecdotal ones: a Confirmed sweep has proven the rejection had continuation, while a Faded one warns that the trap did not work and the level has genuinely been broken. INFORMATION PANEL The panel condenses the read into a compact table. It shows the Last Sweep with its direction (Bull ▲ / Bear ▼) and state, and the live count of sweeps in each state: Detected, Confirmed and Faded. The Confirmed-to-Faded ratio gives a quick sense of how reliable sweeps are behaving on that instrument and timeframe. The panel sits in any of the four chart corners (Top Right by default), comes in three sizes (Tiny / Small / Normal) and two themes (Dark / Light), and can be hidden entirely. NO REPAINTING Sweeps are validated on closed bars only and on confirmed pivots, so a level and its sweep never appear or disappear intrabar. A wick that pierces a level but closes back inside generates nothing — the indicator waits for the close. This removes the false signals that clutter tools which mark instantly, at the cost of confirming each sweep once it has completed. There are no higher-timeframe functions: all logic runs on the current chart timeframe. CONFIGURATION The inputs are grouped by block. Detection sets the swing profile and the maximum number of sweeps kept on the chart (12 by default). Style exposes the bullish and bearish sweep colours, the faded colour, the label size and the Dark/Light theme. Panel controls panel visibility, position and size. The defaults are calibrated to work without adjustment on stocks, crypto, forex, indices and futures, on any timeframe — the input most users touch is the Swing Profile, to match the sensitivity of the tracked liquidity to their horizon. ALERTS Five predefined alerts cover the life of a sweep: Bullish Sweep Detected and Bearish Sweep Detected fire the moment a sweep is detected; Bullish Sweep Confirmed and Bearish Sweep Confirmed fire when a sweep confirms its reversal through follow-through; and Sweep Faded fires when a sweep fails and the level is reclaimed. The Detected alerts are the earliest but least confirmed, the Confirmed alerts are more reliable at the cost of arriving later, and the Faded alert is useful to discard a reversal idea. All alerts fire on bar close, consistent with the indicator's anti-repaint validation. HOW TO READ IT Wait for confirmation: a Detected sweep only flags that liquidity was taken and rejected, not that price will turn — waiting for it to become Confirmed reduces false signals at the cost of entering later, and the panel's Confirmed-to-Faded ratio shows how trustworthy sweeps are being. Read the fade as a warning: when a sweep turns Faded, the trap did not work and the level was genuinely broken — recognising a failed sweep in time avoids forcing a reversal idea the market has already rejected. Trade sweeps in confluence: a confirmed sweep that takes liquidity at an important level, a demand zone or a higher-timeframe support is a far more solid reference than an isolated one. And pairing Edo Liquidity Sweeps with Edo Liquidity Zones closes the loop — the zones say where liquidity sits, the sweeps say when it is taken. OPEN SOURCE Edo Liquidity Sweeps is published as a free open source indicator. The full Pine Script is publicly accessible on TradingView for study, adaptation and integration into any workflow. Part of the Edolab Markets free tools ecosystem alongside Edo Liquidity Zones, Edo Smart Money Map, Edo Order Blocks, Edo ZigZag Auto Fib SR and more available on TradingView. This indicator is a technical analysis tool for educational and informational purposes only. It does not generate automatic buy or sell signals and should not be considered financial advice. Trading financial markets involves significant risk of capital loss. Past performance does not guarantee future results. Always use proper risk management. TAGS LiquiditySweep SmartMoneyConcepts Liquidity MarketStructure PriceAction StopHunt SwingHighLow SupplyDemand Reversal Overlay Indicator OpenSource Edolab EdolabMarkets Stocks Crypto Forex Indices CATEGORIES (TradingView dropdowns) — Direction: Both — Market category: All markets (Stocks / Crypto / Forex / Indices) — Analysis type: Trend Analysis / Chart patterns / Support and Resistance
Indicateur
par EdoLab-Markets
Profitable Key Levels Trading System (v6 - Full Custom) v.2▲ ALTO (Prezzo) │ │ <-- Livello Rosa (Debole) │ ▲ o <-- CERCHIO GIALLO (Rimbalzo con Volumi Alti) │ ╱ ╲ ╱ │ ╱ ╲ ╱ │ ╱ ▼ ╱ │ ╱ ────────────▼───────────────────── <-- Livello Celeste (Forte!) │╱ ▲ │ │ <-- FRECCIA VERDE "BUY" (Segnale d'Ingresso) │ │ ~~~~~~~~~~~~~~~~~ EMA 200 (Filtro Trend Arancione) ~~~~~~~~~~~~~~~~~ │ │ (Sotto la EMA cercheremo solo frecce rosse "SELL", sopra solo frecce verdi "BUY") │ ▼ BASSO (Tempo) Questo strumento trasforma il tuo grafico da una "foresta di candele confuse" a una mappa operativa chiara, dicendoti dove, quando e in che direzione aprire un'operazione. 1. Trova le "Zone Calde" del Prezzo (I Livelli) Invece di tracciare linee a caso, l'algoritmo analizza fino a 1000 giorni di storico, raggruppa i punti di inversione più importanti e assegna loro uno Score (punteggio). Livelli Rosa: Zone di rimbalzo recenti o minori. Livelli Celesti: Fortezze storiche dove il prezzo ha reagito molte volte. 2. Svela le Tracce delle "Mani Forti" (I Cerchi Gialli) Un livello grafico è utile, ma diventa potentissimo se sai che è stato difeso con grandi volumi. L'indicatore mette un cerchio colorato (es. giallo) esattamente sulla candela in cui i grandi istituzionali sono entrati al mercato, filtrando via il "rumore" dei piccoli trader. 3. Ti tiene dalla parte giusta del mercato (La Media Mobile) La media mobile personalizzabile (EMA o SMA) funge da guardiano del trend. Se il mercato sale (prezzo sopra la linea arancione), l'indicatore ti mostra solo segnali di acquisto. Se il mercato scende (prezzo sotto la linea arancione), ti mostra solo segnali di vendita. In questo modo eviti di metterti contro i trend più forti. 4. Ti dà il "Trigger" d'Ingresso (Le Frecce) Non devi più indovinare il momento esatto. Quando il prezzo tocca un livello chiave, fa un rimbalzo volumetrico (cerchio) e si allinea al trend di fondo, l'indicatore stampa una Freccia Verde (BUY) o una Freccia Rossa (SELL) e ti invia un Alert sul telefono. 🎯 Come usarlo operativamente: Attendi il segnale: Aspetta che compaia una freccia (es. Verde / BUY). Imposta la protezione (Stop Loss): Posiziona il tuo stop appena sotto il minimo della candela con la freccia. Punta al target (Take Profit): Chiudi l'operazione quando il prezzo raggiunge il livello chiave successivo (la linea colorata più vicina). traduci in inglese: ▲ ALTO (Prezzo) │ │ <-- Livello Rosa (Debole) │ ▲ o <-- CERCHIO GIALLO (Rimbalzo con Volumi Alti) │ ╱ ╲ ╱ │ ╱ ╲ ╱ │ ╱ ▼ ╱ │ ╱ ────────────▼───────────────────── <-- Livello Celeste (Forte!) │╱ ▲ │ │ <-- FRECCIA VERDE "BUY" (Segnale d'Ingresso) │ │ ~~~~~~~~~~~~~~~~~ EMA 200 (Filtro Trend Arancione) ~~~~~~~~~~~~~~~~~ │ │ (Sotto la EMA cercheremo solo frecce rosse "SELL", sopra solo frecce verdi "BUY") │ ▼ BASSO (Tempo) Questo strumento trasforma il tuo grafico da una "foresta di candele confuse" a una mappa operativa chiara, dicendoti dove, quando e in che direzione aprire un'operazione. 1. Trova le "Zone Calde" del Prezzo (I Livelli) Invece di tracciare linee a caso, l'algoritmo analizza fino a 1000 giorni di storico, raggruppa i punti di inversione più importanti e assegna loro uno Score (punteggio). Livelli Rosa: Zone di rimbalzo recenti o minori. Livelli Celesti: Fortezze storiche dove il prezzo ha reagito molte volte. 2. Svela le Tracce delle "Mani Forti" (I Cerchi Gialli) Un livello grafico è utile, ma diventa potentissimo se sai che è stato difeso con grandi volumi. L'indicatore mette un cerchio colorato (es. giallo) esattamente sulla candela in cui i grandi istituzionali sono entrati al mercato, filtrando via il "rumore" dei piccoli trader. 3. Ti tiene dalla parte giusta del mercato (La Media Mobile) La media mobile personalizzabile (EMA o SMA) funge da guardiano del trend. Se il mercato sale (prezzo sopra la linea arancione), l'indicatore ti mostra solo segnali di acquisto. Se il mercato scende (prezzo sotto la linea arancione), ti mostra solo segnali di vendita. In questo modo eviti di metterti contro i trend più forti. 4. Ti dà il "Trigger" d'Ingresso (Le Frecce) Non devi più indovinare il momento esatto. Quando il prezzo tocca un livello chiave, fa un rimbalzo volumetrico (cerchio) e si allinea al trend di fondo, l'indicatore stampa una Freccia Verde (BUY) o una Freccia Rossa (SELL) e ti invia un Alert sul telefono. 🎯 Come usarlo operativamente: Attendi il segnale: Aspetta che compaia una freccia (es. Verde / BUY). Imposta la protezione (Stop Loss): Posiziona il tuo stop appena sotto il minimo della candela con la freccia. Punta al target (Take Profit): Chiudi l'operazione quando il prezzo raggiunge il livello chiave successivo (la linea colorata più vicina).
Indicateur
par MatteoSan84
Forza Relativa - Professional Table v2█ OVERVIEW Questo indicatore calcola e mostra la Forza Relativa (Relative Strength) di un asset rispetto a un benchmark di riferimento e al suo settore di appartenenza (se applicabile). Tutti i calcoli sono basati su giorni solari reali ("Calendar Days"), garantendo un confronto preciso e uniforme delle performance su diversi archi temporali: 1g, 7g, 30g, 60g, 90g e 180g. A differenza delle tabelle standard, questa versione è stata interamente ottimizzata per il Tema Scuro (Dark Theme) di TradingView, garantendo una leggibilità nitida e professionale in ogni condizione di mercato. █ CARATTERISTICHE PRINCIPALI • Adattabilità Asset & Crypto: Lo script rileva automaticamente la classe di asset sul grafico. Se l'asset è una Criptovaluta, imposta come benchmark predefinito Bitcoin (BTC) o Ethereum (ETH) a scelta dell'utente. Se l'asset è un'Azione o ETF, utilizza lo S&P500 (SPY) come benchmark e attiva la colonna dedicata al "Settore". • Selezione del Settore: Per il mercato azionario, è possibile selezionare manualmente l'ETF settoriale di riferimento (es. XLK per il Tech, XLF per i Finanziari, ecc.) per monitorare se l'asset sta sovraperformando o sottoperformando il proprio settore di appartenenza. • Calcolo a Giorni Solari (Calendar Days): Le variazioni percentuali non si basano sul semplice conteggio delle candele del grafico corrente (che variano a seconda del timeframe), ma calcolano l'effettiva variazione temporale indietro nel tempo, rendendo l'indicatore ideale sia su grafici Daily che Intraday. █ OTTIMIZZAZIONE GRAFICA & NITIDEZZA (DARK THEME) Per risolvere il classico problema di scarsa leggibilità delle tabelle TradingView su sfondi scuri, sono state introdotte le seguenti migliorie: 1. Contrasto Dinamico: Il testo delle celle utilizza una palette di colori e trasparenze che si adatta allo sfondo per risaltare chiaramente senza affaticare la vista. 2. Palette Colori Soft: Sostituiti i verdi e rossi standard (troppo accesi e fastidiosi su sfondo scuro) con un elegante Verde Smeraldo Soft per i rendimenti positivi e un Rosso Corallo Soft per quelli negativi. 3. Griglia Protetta: La tabella presenta bordi grigio-scuri solidi per separare nettamente i dati e le colonne, rendendo l'interfaccia pulita e moderna. █ PARAMETRI PERSONALIZZABILI (INPUTS) • Crypto Benchmark: Consente di scegliere tra BTCUSDT ed ETHUSDT quando si analizzano le criptovalute. • Dimensione Testo Tabella: Modifica la dimensione della tabella per adattarla a schermi di diverse risoluzioni (Tiny, Small, Normal, Large, Huge). • Posizione Tabella: Permette di posizionare la griglia in qualsiasi angolo del grafico (es. in basso a destra, in alto a sinistra, ecc.) per non coprire i prezzi. • Settore Manuale: Consente di selezionare l'ETF settoriale SPDR di riferimento per l'asset azionario sotto analisi. █ NOTE SUL TIMEFRAME Dato che l'indicatore analizza performance storiche fino a 180 giorni solari fa, si consiglia di utilizzare timeframe come il Giornaliero (1D) o l'Orario (1H/4H). Su timeframe estremamente ridotti (es. 1 o 5 minuti), TradingView potrebbe non avere abbastanza candele storiche caricate per calcolare i periodi più lunghi, mostrando la dicitura "n/a" (non disponibile). Relative Strength vs Benchmark & Sector (Dark Theme) █ OVERVIEW This indicator measures and displays the Relative Strength (RS) of an asset by comparing its performance against a selected benchmark and, when applicable, its sector benchmark. All calculations are based on actual Calendar Days rather than a simple bar count, ensuring consistent and accurate performance comparisons across the following periods: 1D, 7D, 30D, 60D, 90D, and 180D The table has been specifically designed and optimized for the TradingView Dark Theme, providing maximum readability, strong contrast, and a professional appearance under all market conditions. █ KEY FEATURES • Automatic Asset Detection The script automatically identifies the type of asset displayed on the chart: Cryptocurrencies: uses either Bitcoin (BTC) or Ethereum (ETH) as the benchmark, selectable by the user. Stocks and ETFs: uses SPY (S&P 500 ETF) as the benchmark and automatically enables the Sector comparison column. • Sector Comparison For equities, users can manually select the appropriate SPDR sector ETF (XLK, XLF, XLE, XLV, etc.) to determine whether the stock is: Outperforming its sector Underperforming its sector Moving in line with its sector • Calendar-Day Performance Calculation Performance measurements are independent of the chart timeframe. Instead of relying on the number of bars displayed, percentage changes are calculated using actual calendar days, ensuring consistent results across both Daily and Intraday charts. █ DARK THEME VISUAL OPTIMIZATION To improve readability on dark backgrounds, several visual enhancements have been implemented: 1. Dynamic Contrast Text colors and transparency levels have been carefully tuned to provide excellent visibility while minimizing eye strain. 2. Soft Color Palette Standard colors have been replaced with more balanced tones: Soft Emerald Green for positive values Soft Coral Red for negative values This creates a cleaner appearance and improves readability during extended analysis sessions. 3. High-Definition Grid The table uses solid dark-gray borders to clearly separate cells, columns, and headers, resulting in a modern and professional layout. █ CUSTOMIZABLE INPUTS • Crypto Benchmark Select the benchmark used for cryptocurrency analysis: BTCUSDT ETHUSDT • Table Text Size Adjust the table size to fit different screen resolutions: Tiny Small Normal Large Huge • Table Position Place the table anywhere on the chart: Top Left Top Right Bottom Left Bottom Right • Manual Sector Selection Choose the SPDR sector ETF used as the sector benchmark for relative performance analysis. █ DATA INTERPRETATION Positive values indicate that the asset is outperforming its benchmark or sector. Negative values indicate underperformance, signaling weaker relative strength compared to the benchmark or sector being analyzed. █ TIMEFRAME NOTES Since the indicator analyzes historical performance up to 180 calendar days, the following timeframes are recommended: 1D 4H 1H On very low timeframes (such as 1-minute or 5-minute charts), TradingView may not have enough historical bars loaded to calculate the longest lookback periods. In these cases, some cells may display "n/a" (data not available). Ideal for quickly identifying assets that are demonstrating superior relative strength versus both the broader market and their respective sector, regardless of the chart timeframe being used.
Indicateur
par MatteoSan84
4 Flags Whale Pattern PRO pawan4 Flags Whale Pattern PRO This indicator detects a unique 4-candle alternating pattern where candle colors alternate (Bull-Bear-Bull-Bear or Bear-Bull-Bear-Bull) and all candle bodies have similar sizes based on a user-defined tolerance. Features: • Multi-Timeframe Alerts (M3, M5, M6, M15) • Whale Pattern Detection • Adjustable Body Size Tolerance • Real-Time Alerts • Dashboard for Multiple Timeframes • No Repaint Alert Logic • Rectangle Highlight on Pattern Detection • Designed for BTC and other volatile markets. Best used for intraday trading with additional trend confirmation.
Indicateur
par kumarpawan93971
ATK/DEF KDJ Rewind ContextRewind KDJ Context is a visual KDJ analysis indicator designed to provide a clearer understanding of momentum structure through the relationship between the K, D, and J lines. Traditional KDJ analysis often focuses on fixed overbough and oversol levels. This indicator expands the interpretation by analyzing the interaction between KDJ components, including line arrangement, directional changes, momentum development, and structural transitions. The script transforms KDJ movement into different context states, helping users observe how momentum conditions develop, slow down, weaken, and recover over time. Instead of treating K, D, and J as isolated values, Rewind KDJ Context focuses on the relationship between the three components and presents their current condition through a structured visual approach. KDJ Context Framework ▶️ Momentum Push Identifies conditions where K, D, and J show coordinated upward momentum development. This context represents a phase where KDJ structure is aligned with increasing momentum activity and stronger directional movement. ⏸️ Momentum Pause Highlights situations where momentum remains active but begins to slow or entr a temporary balance condition. This state focuses on changes in momentum speed and the relationship between K, D, and J during a slowing phase. ⏪ Reversal Context Highlights changes in KDJ structure where J-line movement and the relationship between K and D indicate a possible transition in short-term momentum conditions. This context focuses on structural changes rather than predicting future pric direction. ⬇️ Weakness Context Displays conditions where KDJ structure shows reduced momentum strength and weaker directional movement. This state helps visualize when previous momentum conditions begin losing strength. 🔄 Recovery Context Highlights situations where KDJ structure begins improving after a weaker phase. This context observes changes in J-line behavior and KDJ alignment during potential momentum recovery conditions. ⚪ Neutral Context Represents situations where K, D, and J do not form a strong directional structure and momentum remains relatively balanced. Main Features • Customizable KDJ calculation parameters • Dynamic K, D, and J value visualization • KDJ line relationship and structure analysis • Momentum context classification • Historical context table display • Recent bar comparison • Visual markers for important KDJ transitions • KDJ arrangement monitoring • Adjustable display range and historical reference position How It Works Rewind KDJ Context uses the traditional KDJ calculation method based on RSV, followed by smoothing calculations for the K and D lines. The J line is derived from the relationship between K and D: • K line represents the smoothed RSV movement • D line represents the smoothed K line movement • J line represents an extended momentum relationship between K and D The indicator evaluates several aspects of KDJ behavior, including: • Relative position between K, D, and J • Directional movement of each component • Changes in momentum expansion and contraction • KDJ structural transitions • Recent historical context These calculations are organized into visual context states to make KDJ behavior easier to interpret. Intended Use Rewind KDJ Context is designed as a technical analysis tool for observing momentum conditions and KDJ structure. It can be used together with price action analysis, trend evaluation, support and resistance analysis, volatility analysis, and other technical methods to build a broader market view. The indicator is intended to provide additional context about momentum behavior rather than replace complete market analysis. Notes Rewind KDJ Context is based on mathemat calculations derived from historical pric data. The displayed context states represent current and historical KDJ conditions based on the selected settings and market data available on the chart. Different assets, timeframes, and market environments may produce different interpretations of the same indicator behavior. Disclaimer Rewind KDJ Context is provided for informational and technical analysis purposes only. This indicator does not provide finacl advice, personalized recommendations, autm trading decisions, or guaranteed results. The displayed KDJ context states, momentum conditions, and visual markers are generated from mathematical calculations and should not be interpreted as predictions of future pric movements. Users are responsible for conducting their own analysis, making their own decisions, and applying appropriate risk management methods. Past market behavior and technical indicator performance do not guaran future outcomes.
Indicateur
par ATTDEFS
Premium/Discount ML Zones [PickMyTrade]What does it do? Builds a Premium / Equilibrium / Discount map from a higher-timeframe dealing range, then runs an online logistic regression over every price level inside that map to detect the exact band where the model currently reads a directional edge. Because the range is read from one anchor timeframe, the zones sit at the same prices whether you view the 5m, 1h or Daily chart. ──────────────────────────────────── The intellectual problem Premium/Discount is a location framework: above the 50% equilibrium of a dealing range price is expensive, below it price is cheap. Two problems show up the moment you try to automate it. First — the range is usually drawn on whatever chart you are looking at. A 5-minute chart finds 5-minute swings, so it anchors to a micro-range that may be a few points wide. The Daily chart finds a range a hundred times larger. The same price is then simultaneously "premium" on one timeframe and "discount" on another, and the label stops meaning anything. The conventional discipline is to define the range on a higher timeframe and drop down only to execute — never to redraw the range on the execution chart. Second — location alone is not an edge. Knowing price is in the lower half of a range tells you it is cheap relative to that range. It does not tell you whether cheapness is currently being rewarded. In a strong downtrend every discount print keeps getting cheaper. Location is a filter; something else has to decide whether the location is worth acting on. This indicator separates those two jobs. The dealing range and its three zones are the map , anchored once on a higher timeframe. A logistic regression trained on the chart's own history is the decision , and it is what marks the actionable band inside the map. ──────────────────────────────────── How the dealing range is anchored The range is built from confirmed swing highs and lows read from the Dealing Range Timeframe (default Daily) via request.security(..., lookahead=barmerge.lookahead_off) . Each side re-anchors to its most recent confirmed swing, with guards that keep the pair coherent: if not na(ph) and (na(swingLow) or ph > swingLow) swingHigh := ph if not na(pl) and (na(swingHigh) or pl < swingHigh) swingLow := pl Those guards are what make the range track the current leg rather than a fixed lookback window. In an uptrend each new higher low pulls the low side up with price, instead of leaving equilibrium pinned to an ancient low that price has long since left behind. From that range: Equilibrium — the exact 50% midpoint, (rangeHigh + rangeLow) / 2 Equilibrium band — a neutral fair-value zone of ± Equilibrium Band × range around the midpoint (default ±10%, i.e. the middle 20%). No signals fire inside it. Premium — everything above the band. Discount — everything below it. Break of structure — when price closes beyond the anchored range, the old range is stale until a new swing confirms. A bearish BOS blocks longs and a bullish BOS blocks shorts, so the model does not fade a breakout while waiting for the range to re-anchor. ──────────────────────────────────── How the logistic regression works Step 1 — Three z-score normalised features All three are standardised over the Z-Score Window (default 50) so the model is scale-invariant across instruments and timeframes. F1 — Position in range : where the close sits between the range low and high, clamped to 0–1. This is the premium/discount coordinate itself. F2 — Dwell time : a rolling time-at-price measure — the fraction of the last N bars that closed within one price band of the current close. High dwell means price has spent real time here; a level touched once in a spike scores low. F3 — Momentum : rate of change over the momentum length, normalised. Distinguishes a discount that is stabilising from one that is still falling. Step 2 — Online gradient descent with L2 regularization There is no fixed training window and no retraining pass. Each confirmed bar is labelled from its forward return over the Label Horizon, and the weights take one gradient step per bar, always evaluated on the previous bar's features so no current-bar information leaks into the update: _pred = f_sigmoid(w0 + w1f1 + w2f2 + w3*f3 ) _label = label_bull ? 1.0 : 0.0 _err = _label - _pred w1 := w1 + i_learn_rate * (_err * f1 - i_l2_lambda * w1) The - i_l2_lambda * w1 term is weight decay: it pulls weights back toward zero each step, which stops any single feature from running away to an extreme value on a stretch of trending data. The bias term w0 is deliberately left unregularized — it carries the base rate, not a feature relationship. Step 3 — Posterior post_bull = f_sigmoid(w0 + w1f1 + w2f2 + w3*f3) post_bear = 1.0 - post_bull Step 4 — The ML entry zone (what the model detects) This is the part that does the work. Rather than only scoring the bar in front of it, the model scores every price level inside the discount half and the premium half — sweeping the position feature across the zone while holding dwell and momentum at their current values — and marks the contiguous band where its probability clears the Entry Threshold: for j = 0 to i_nbins float p = rangeLow + (eq_bot - rangeLow) * j / i_nbins float f1p = ((p - rangeLow) / range_size - pos_mean) / pos_std float pbup = f_sigmoid(base + w1 * f1p) if pbup >= i_posterior_thresh ml_long_lo := na(ml_long_lo) ? p : math.min(ml_long_lo, p) ml_long_hi := na(ml_long_hi) ? p : math.max(ml_long_hi, p) That band is the ML Buy / Sell Zone drawn on the chart. It is the exact price range in which a signal would fire right now — visible before price arrives there. Its thickness is meaningful: a thin band means only a sliver of the zone clears the threshold, a thick band means the model reads an edge across most of the zone. When nothing clears the threshold, the band disappears entirely rather than showing a level the model does not support. ──────────────────────────────────── Reading the indicator PREMIUM box (orange) — upper region of the HTF range. Shorts are considered here only. EQUILIBRIUM box (grey) — the fair-value band around the 50% midpoint. Nothing fires here by design. DISCOUNT box (blue) — lower region. Longs are considered here only. ML BUY / SELL ZONE (bright band) — the model-detected band inside the discount/premium region, labelled with the peak probability found in that band. ● circle (blue) — high-conviction long: P(Bull) ≥ 0.85. ▲ triangle (blue) — standard long: P(Bull) ≥ threshold. ● circle (orange) — high-conviction short: P(Bear) ≥ 0.85. ▼ triangle (orange) — standard short: P(Bear) ≥ threshold. Dashed equilibrium line — the exact 50% midpoint. Dashed SL / TP lines — reference levels from the range extreme at ATR × multiplier and the Risk:Reward ratio. Only the first bar of each signal cluster fires — if conditions stay true for several bars, only the transition bar is marked. Info table (top-right) ● LIVE (green) — the model has taken ≥ Training Samples Needed gradient steps. ● WARMUP (yellow) — still accumulating; signals suppressed. Zone — Premium / Equilibrium / Discount, or BOS ↑ / BOS ↓ (yellow) when price has broken the range. P(Bull) / P(Bear) — live posterior at the current bar. N Trained — total gradient updates taken. ──────────────────────────────────── Inputs Dealing Range Dealing Range Timeframe — whose swings define the map (default D). Set it equal to or higher than your execution chart. This is the input that makes the zones identical across timeframes. Swing Left / Right Bars — swing definition on the anchor timeframe (default 3/3). Right Bars is the confirmation delay: the range re-anchors that many anchor-timeframe bars after a swing forms. Equilibrium Band — half-width of the neutral zone as a fraction of range (default 0.10). Set 0 to collapse it to a single line. Dwell-Time Feature Scan / Dwell Bands (default 20) — price resolution for the entry-zone scan and the dwell band width. Dwell Lookback (default 50). Logistic Regression Training Samples Needed — gradient updates before signals activate (default 80). Entry Threshold — minimum probability to fire a signal and to light the ML zone (default 0.65). Learning Rate — gradient step size (default 0.05). Higher adapts faster but noisier. L2 Regularization — weight decay (default 0.001). 0 disables it. Label Horizon (default 5), Momentum Length (default 14), Z-Score Window (default 50). Signal Levels Show SL/TP Lines, ATR Period, SL ATR Buffer (default 1.2), Risk:Reward (default 1.8). Visual / Display Show Premium/Discount Map, Show ML Entry Zone, Zone Left Extent / Forward Extend, Show Equilibrium Line, Regime Background, zone colours. Zen Mode — hides SL/TP lines and the table; map and ML zone remain. ──────────────────────────────────── Three alerts included PD ML - Long — discount long fired PD ML - Short — premium short fired PD ML - Any Signal — either direction ──────────────────────────────────── Technical notes Swing detection on the anchor timeframe needs Swing Right Bars of that timeframe to confirm. With the Daily default that is a three-day confirmation delay before the range re-anchors. This is inherent to non-repainting swing detection, not a tunable away. request.security uses lookahead_off , so historical bars use only confirmed anchor-timeframe values. The developing anchor bar updates in real time, which is expected behaviour for a live higher-timeframe reference. The dwell feature counts closes within one band of the current close over the lookback — a bar-based proxy for time-at-price. It does not use tick or volume-profile data. The entry-zone scan holds dwell and momentum fixed while sweeping position. It answers "if price were at level X, with today's momentum and dwell, what would the model read?" — a counterfactual across location, not a forecast of the path. Logistic regression assumes a monotonic relationship between each feature and the log-odds. Real price behaviour is not always monotonic in position-within-range; the model captures the dominant direction of that relationship, not its curvature. ──────────────────────────────────── Requirements and limitations The model needs Training Samples Needed gradient steps before signals activate; on short-history charts the table shows WARMUP and nothing fires. Weights are learned per chart and per timeframe — switching symbol or timeframe restarts the learning from zero. Probabilities are the model's read of patterns in its own training history. They are not a probability of profit, and patterns that historically preceded a directional move may not repeat. The equilibrium band is deliberately dead space. If you want signals nearer the midpoint, reduce the band toward 0 — but the closer to fair value you trade, the less the premium/discount premise is contributing. If the Dealing Range Timeframe is left blank or set below your chart's timeframe, the range is computed on the chart timeframe and the cross-timeframe consistency is lost. That is the failure mode this indicator exists to avoid. The three zones describe location within one dealing range. They carry no information about ranges above them — a Daily discount can sit inside a Weekly premium. ──────────────────────────────────── Risk disclosure Nothing here forecasts price. The zones describe where price sits inside a measured range; the classifier reports what its training history associates with that location. Use with your own position sizing and risk management. Not financial advice. Built natively in Pine Script® v6. Online logistic regression trained by per-bar gradient descent with L2 weight decay, a rolling dwell-time feature, and a higher-timeframe swing-anchored dealing range. No external libraries, no data feeds. Open source — Mozilla Public License 2.0.
Indicateur
par PickMyTrade_Official
Overbought/Oversold Split Volume [AloneMask]An indicator that displays volume separately - buy/sell, to make it easy to see whether positive or negative volume prevails. Volume is plotted up from the center line (buy) and down from the center line (sell) and is plotted inside the Bollinger Bands to predict its potential overbought/oversold status. The settings include a large variability in choosing the MA base and the way Bollinger Bands depend on volume. User flexibility in choosing the style and colors is a given. The indicator can be used on any instrument (Index, Stock, Currency pairs, Crypto, etc.)
Indicateur
par AloneMask_prod
RSI(14) MTF Historical Dashboard [GPT] RSI(14) MTF Historical Dashboard displays the current RSI and the previous 13 RSI values for up to eight configurable timeframes. Each row shows: TF | RSI | Instant Movement | Countdown | -1 to -13 Read the historical sequence from right to left to follow RSI progression from the oldest value to the current one. The indicator includes two modes: Current Candle: displays the developing RSI value. Last Closed Candle: displays only confirmed RSI values. The instant movement column shows: ▲ RSI moving upward ▼ RSI moving downward • stable or below the selected threshold Background colors identify configurable RSI zones: Oversold Low Neutral High Overbought Overbought and oversold values can be highlighted separately. Main settings include RSI source, eight timeframes, zone limits and colors, OB/OS highlighting, real-time movement threshold, candle countdown, table position, text size and decimal precision. This dashboard is useful for monitoring RSI evolution, identifying changes in momentum, comparing multiple timeframes and detecting alignment or disagreement between lower and higher timeframes. It is an analytical tool and does not generate automatic buy or sell signals.
Indicateur
par flowsalvador
Forex Sessions Trackerwww.tradingview.com Forex Sessions Tracker is a professional and fully customizable TradingView indicator designed to automatically highlight the most important Forex trading sessions directly on the chart, including the Asia Session, London Session, New York Session, and London Close Session. The indicator draws dynamic boxes that expand in real time as price moves, continuously updating the session high and low so traders can easily visualize volatility, liquidity, and key market reactions during each trading period. A customizable timezone option allows the sessions to match any broker or trading preference, while individual session controls make it possible to show or hide specific sessions according to your strategy. The script also includes optional session labels, adjustable border width, custom colors for each session, and a professional glowing box effect that improves visibility without cluttering the chart. Historical session management keeps only the most recent sessions visible, helping maintain a clean workspace while preserving important market structure. This tool is especially useful for Forex, Gold (XAUUSD), and index traders who rely on session-based analysis, breakout trading, liquidity sweeps, ICT concepts, or intraday price action strategies. By clearly separating the major market sessions, Forex Sessions Tracker helps traders identify when liquidity enters the market, monitor session highs and lows, and focus on the periods where significant price movement is most likely to occur. The indicator is intended as a visual market-session tracking tool and works best when combined with your own trading strategy, risk management, and price action analysis. For more Expert Signals, Market updates & Analysis 👇👇👇 www.tradingview.com
Indicateur
par Michael_Fx_Trader
Calculateur de Lot InteractifBy Yassine Maximize your trading discipline and eliminate manual math with this professional-grade, interactive risk calculator built entirely in Pine Script v6. Stop over-leveraging or guessing your lot sizes. With just two clicks directly on your chart, this indicator instantly calculates your exact position size, projects partial take profits, factors in broker commissions, and runs real-time margin diagnostics. Key Features 🎯 100% Interactive (2-Click Setup): Simply click your Entry Price (EP) and Stop Loss (SL) directly on the screen. Drag the anchor points to adjust your trade in real-time. 📊 Multi-Asset Smart Detection: Automatically detects whether you are trading Forex (Lots), Gold / XAUUSD (Standard MT contracts), Indices/CFDs (Contracts), or Crypto/Stocks (Units), applying the exact contract specifications for flawless math. 💸 Smart Commission Deduction: Enter your broker's commission per lot, and the script automatically downscales your position size. This ensures your maximum loss (SL + Fees) remains strictly at your defined risk percentage (e.g., exactly $500 on a $50k account). 📈 Multi-Stage Take Profits (TP1 & TP2): * TP1: Set a custom RR ratio (e.g., 1:1) and define the % of the position you want to close (e.g., 50% to secure the trade). TP2: Define your final target. The dashboard calculates the exact price levels and potential cash gains for each stage. ⚠️ Margin & Leverage Diagnostic: Enter your account’s maximum leverage. The script checks the nominal value of your trade and flashes a red alert (⚠️ INSUFFICIENT LEVERAGE) if the required margin exceeds your available capital. ⚡ Pine Script v6 Optimized: Clean, modern code using persistent variables to prevent chart lag, flickering, and memory leaks.
Indicateur
par djamayassine