Mulakan

Imbalance

Order Flow Imbalance Recovery Planner [AGPro Series]Order Flow Imbalance Recovery Planner 🧠 Core Idea Can a high-volume displacement pocket recover with enough absorption and follow-through to become actionable chart context? 📌 Overview / What it does Order Flow Imbalance Recovery Planner maps high-volume displacement candles, converts them into practical imbalance recovery pockets, and evaluates whether price can recover that pocket with measurable response. The script produces imbalance pockets, recovery rails, continuation corridors, invalidation shelves, target reference rails, event labels, and a compact AG Pro dashboard with a 0-100 recovery score. This script does not read live order book data, footprint data, bid/ask tape, or true exchange-level order flow. It uses chart-available volume, relative volume, candle displacement, wick response, and recovery behavior as a practical visual proxy. 🎯 Purpose & Design Philosophy The script was built for traders who want a structured way to study volume imbalance recovery instead of reacting to every large candle. Many displacement candles look important at first, but the useful question is whether price can return to the pocket, absorb pressure, and recover the key rail. The design supports a context-first workflow: identify the imbalance, observe the test, evaluate the recovery quality, and then read the current state. ⚡ Why This Script Is Different Most tools mark volume spikes or wide candles as isolated events. This script does NOT treat every high-volume candle as a signal. Instead, it builds a recovery pocket, scores the reaction around that pocket, separates test conditions from READY conditions, and keeps invalidation visible. ⚙️ Methodology 1. Context Detection The script searches for directional displacement candles with elevated relative volume, meaningful candle range, and sufficient body commitment. 2. Reference Mapping When a valid imbalance is found, the script maps a recovery pocket and a recovery rail around the displacement body. 3. Reaction Evaluation Price interaction with the pocket is evaluated through retest behavior, close location, wick response, relative volume, freshness, and failure distance. 4. Visual Output The script displays the active pocket, recovery rail, target rails, invalidation shelf, event labels, bar state color, and dashboard state. 🗺️ How to Read the Chart Zones represent the active imbalance recovery pocket. The recovery rail marks the key level price needs to reclaim or lose before the context improves. Labels highlight new imbalance pockets, pocket tests, ready recovery events, invalidations, and expirations. Colors: • Teal = bullish recovery context • Pink = bearish recovery context or failed context • Gold = neutral or wait state • Indigo = monitor or reference state The panel summarizes imbalance state, recovery score, flow response, risk, and action. 🚦 Signals & States • Bull Imbalance → a bullish high-volume displacement pocket has been mapped • Bear Imbalance → a bearish high-volume displacement pocket has been mapped • Pocket Test → price is interacting with the active imbalance pocket • Ready Recovery → the recovery score has reached the required threshold • Invalidated → price has moved beyond the active failure edge • Expired → the imbalance pocket is too old to remain active 🔔 Alerts Logic Alerts can trigger when a new imbalance pocket is locked, when price tests the active pocket, when recovery reaches READY status, or when the context is invalidated. Alerts are attention markers only. They are not trade instructions and do not guarantee future price behavior. 🧩 Confluence Logic The context becomes stronger when high relative volume, large displacement, clean pocket retest, wick absorption, and recovery close align around the same pocket. 📊 When to Use • After high-volume displacement candles • During pullback and recovery phases • Around breakout continuation attempts • When studying absorption after aggressive movement • On liquid symbols with reliable volume data ⚠️ When NOT to Use • Very low-liquidity markets • Symbols with unreliable volume data • Extremely noisy sideways sessions • News-driven spikes with unstable spreads • Markets where chart volume does not represent meaningful participation 🎛️ Key Inputs • Minimum Displacement Range → controls how large a candle must be relative to ATR • Minimum Body Ratio → filters weak candles with too much wick noise • Minimum Relative Volume → controls how much volume confirmation is required • Minimum Ready Score → controls how strict the READY state is • Projection Bars → controls how far active pockets and rails extend • Visual Settings → control labels, zones, right-side tags, panel, font size, and bar colors 🖥️ Interface & Visual Design The dashboard is designed as a quick decision-support panel, not a separate oscillator. The chart uses a clear hierarchy: pocket first, recovery rail second, labels third, and targets only after recovery context becomes relevant. The goal is to keep the chart premium, readable, and useful at first glance. 🧪 Practical Usage Workflow 1. Read the panel state 2. Locate the active imbalance pocket 3. Check whether price is testing or recovering the pocket 4. Review the recovery score and risk 5. Compare the output with broader market structure 🔍 Interpretation Guidelines A READY state means the script has detected enough recovery behavior around the imbalance pocket to mark the context as worth attention. It does not mean price must continue. Use the output as structured context together with trend, liquidity, volatility, and higher-timeframe conditions. 🚫 What This Script Is NOT This script is not a prediction engine. It is not a true order book, footprint, or bid/ask delta tool. It is not an automated trading system. It does not provide guaranteed signals. It is not financial advice. ⚠️ Limitations & Transparency The script uses chart-available data only. Volume quality differs between markets, brokers, exchanges, and asset classes. Timeframe changes may alter the appearance and timing of imbalance pockets. Extreme volatility may produce rapid invalidation or repeated displacement events. 🧠 Market Context Notes Order-flow style interpretation should always consider liquidity, volatility, structure, and session context. A strong recovery pocket in a clean trend may carry more practical meaning than the same pocket inside a noisy range. 🧾 Use Case Examples When price creates a high-volume bullish displacement candle and later retests the pocket, the script evaluates whether the retest shows enough absorption and recovery strength to become a READY context. When price loses the recovery edge, the script marks invalidation rather than keeping the setup visually alive. 🧱 System Philosophy AGPro Series tools are designed as decision-support engines. The goal is not to simplify markets into blind signals, but to organize complex price behavior into readable structure, state, and risk context. 🔐 Non-Promise Statement No script can provide certainty. No signal guarantees continuation, reversal, or profit. Outputs should be interpreted as analytical context only. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk management, and trade execution. This script is for educational and analytical purposes only and does not provide financial advice. 📚 Educational Note Use this tool to study how volume displacement, imbalance pockets, absorption, and recovery behavior interact across different markets and timeframes.
Penunjuk Pine Script®
oleh AGProLabs
Fair Value Gap Reclaim Planner [AGPro Series]Fair Value Gap Reclaim Planner 🧠 Core Idea Has price returned into a fair value gap and reclaimed the imbalance midpoint with enough quality? 📌 Overview / What it does Fair Value Gap Reclaim Planner is an imbalance-focused price action tool built around three-candle fair value gap structure. The script detects bullish and bearish FVG zones, tracks fill progress, maps the midpoint, evaluates reclaim quality, and displays a structured 0-100 readiness score. It also projects an active reclaim corridor, invalidation shelf, target rails, labels, and a clean AG Pro dashboard. It does not predict future price movement, automate entries, or provide guaranteed signals. It is a visual framework for reading fair value gap reclaim behavior. 🎯 Purpose & Design Philosophy This script was built for traders who study imbalance zones but want a cleaner way to separate meaningful reclaim behavior from ordinary gap interaction. Fair value gaps can attract attention, but not every touch matters. The planner focuses on whether price fills, reacts, and reclaims a meaningful reference level inside the imbalance. The design supports patient analysis: identify the zone, measure the fill, wait for reclaim, then evaluate context. ⚡ Why This Script Is Different Most FVG tools highlight many imbalance zones and leave the user to interpret the rest manually. This script does NOT flood the chart with every historical imbalance. Instead, it focuses on the active FVG context, tracks fill progress, evaluates midpoint or full-edge reclaim, and converts the reaction into a clear score and action state. ⚙️ Methodology 1. Context Detection The script detects bullish and bearish three-candle fair value gaps using a minimum ATR-based size filter. 2. Reference Mapping It maps the FVG top, bottom, midpoint, fill area, and invalidation boundary. 3. Reaction Evaluation When price interacts with the active FVG, the script evaluates fill progress, reclaim distance, wick response, body quality, relative volume, gap quality, and freshness. 4. Visual Output Qualified reclaim events are shown with labels, projected zones, target rails, right-side level tags, and a compact panel. 🗺️ How to Read the Chart FVG Zone shows the active imbalance area. Midline marks the primary reclaim reference when Midline mode is selected. Fill Progress shows how deeply price has returned into the imbalance. READY FVG RECLAIM labels mark reclaim events that meet the selected score threshold. Invalidation Shelf marks the area where the reclaim context weakens or fails. The AG Pro panel summarizes Gap State, Reclaim Score, Fill Progress, Risk, and Action. 🚦 Signals & States • BULL FVG → bullish fair value gap detected and locked. • BEAR FVG → bearish fair value gap detected and locked. • READY FVG RECLAIM → price reclaimed the selected FVG reference with enough quality. • FVG TOUCH → price interacted with the active FVG zone. • INVALIDATED → the active reclaim context lost the opposite FVG edge. • READY → a qualified reclaim event is active. • MONITOR → the active FVG is being tested or a reclaim context remains open. • WAIT → no qualified reclaim event is active. 🔔 Alerts Logic Bullish FVG Reclaim Ready triggers when price reclaims the selected FVG reference upward with enough score quality. Bearish FVG Reclaim Ready triggers when price reclaims the selected FVG reference downward with enough score quality. FVG Touch triggers when price interacts with the active imbalance zone. FVG Reclaim Invalidated triggers when the active reclaim context loses the opposite FVG edge. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The strongest reclaim contexts appear when fill progress, wick response, close quality, relative volume, gap size, and freshness align. When price returns into the imbalance, respects the zone, and reclaims the midpoint or edge with clean reaction quality, the score improves. 📊 When to Use • Markets with visible imbalance behavior • Breakout pullbacks into fair value gaps • Trend continuation reviews • Reclaim attempts after partial FVG fills • Intraday or swing contexts where FVG zones remain meaningful ⚠️ When NOT to Use • Very low liquidity markets • Extremely noisy or illiquid symbols • Markets with unreliable candles or volume • Wide-spread conditions where small gaps are misleading • News spikes where imbalance zones can be invalidated quickly 🎛️ Key Inputs • Minimum FVG Size ATR → filters out tiny imbalance zones. • Maximum FVG Age Bars → controls how long an FVG can remain active. • Reclaim Reference → chooses midpoint reclaim or full-edge reclaim. • Touch Lookback Bars → controls how recent the FVG interaction must be. • Invalidation Buffer ATR → controls the risk shelf beyond the FVG edge. • Minimum Ready Score → sets how strict READY events should be. • Target Rails → control projected T1 and T2 levels. • Label Settings → control label density, size, and spacing. • Panel Settings → control panel visibility, location, theme, and font size. 🖥️ Interface & Visual Design The interface is designed to show the active imbalance context without filling the chart with excessive historical zones. The FVG zone, midline, fill meter, invalidation shelf, target rails, and panel are visually separated so the chart remains readable. The goal is a premium first-glance layout: zone first, reclaim second, action state third. 🧪 Practical Usage Workflow 1. Check the panel for active Gap State. 2. Locate the FVG zone and midpoint. 3. Watch how deeply price fills the imbalance. 4. Evaluate READY FVG RECLAIM labels and score quality. 5. Compare price with the invalidation shelf and target rails. 6. Confirm broader structure before making decisions. 🔍 Interpretation Guidelines A high reclaim score means the reaction is cleaner according to the script's rules. A lower score means the reclaim may be weaker, late, noisy, or incomplete. Fill progress is not a signal by itself. It becomes more meaningful when combined with reclaim quality and broader market context. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It does not guarantee entries, exits, profits, or outcomes. ⚠️ Limitations & Transparency Fair value gap interpretation can vary across markets, sessions, and timeframes. Some markets create many small gaps that may not carry meaningful context. Volatility changes can make an active FVG less relevant over time. No rule-based script can fully account for news, liquidity shocks, or sudden market structure shifts. 🧠 Market Context Notes Fair value gaps often represent fast price displacement and temporary imbalance. The reclaim of a midpoint or edge can help traders study whether the market is accepting or rejecting the imbalance area. The script works best when combined with structure, liquidity, volatility, and trend context. 🧾 Use Case Examples When a bullish FVG forms after displacement, price returns into the zone, partially fills it, and then reclaims the midpoint, the script may mark a bullish reclaim context. When a bearish FVG forms after downside displacement, price retraces into the imbalance and then rejects back below the midpoint, the script may mark a bearish reclaim context. 🧱 System Philosophy Fair Value Gap Reclaim Planner follows the AG Pro Series approach: turn a popular market concept into a structured decision map with context, score, risk reference, and clean visuals. It is designed to support judgment, not replace it. 🔐 Non-Promise Statement No script can provide certainty. No signal should be treated as guaranteed. Outputs should always be interpreted with independent analysis and responsible risk control. 📉 Risk Disclosure Trading involves risk. Market conditions can change quickly. Users are responsible for their own decisions, risk management, and trade execution. This script is for educational and analytical purposes only and does not provide financial advice. 📚 Educational Note This script is designed to help traders study how fair value gap fills, midpoint reclaims, and imbalance reactions behave across different market conditions.
Penunjuk Pine Script®
oleh AGProLabs
Liquidity Cartography [JOAT]JOAT Liquidity Cartography Introduction JOAT Liquidity Cartography is an open-source liquidity mapping overlay built to organize where price has swept obvious pools, where imbalance still exists, and where repricing blocks remain active. It combines prior-day and prior-week references, equal-high and equal-low clustering, sweep-state persistence, displacement logic, imbalance arrays, repricing block arrays, and confluence scoring. The problem it solves is fragmented liquidity analysis. Many traders watch prior highs and lows separately from fair value gaps, separately from equal highs and lows, and separately from displacement. This script turns those references into one coordinated chart map. That makes it easier to judge whether the market is merely tapping a level, actually sweeping it, or accepting away from it with structure and participation. The script is useful because it tracks the sequence, not just the level. A prior-day low by itself is only a reference. A sweep below it is more informative. A sweep followed by displacement and structure recovery is a different condition again. Liquidity Cartography is built around those transitions. The box system is managed over time. Zones are extended, aged, and deleted when invalidated or expired. That keeps the chart focused on currently relevant liquidity rather than permanent drawings. Core Concepts 1. Daily and Weekly Reference Liquidity The script tracks PDH, PDL, PWH, and PWL. These are the major reference pools used to judge whether price is probing obvious liquidity. = request.security(syminfo.tickerid, "D", [high , low ], lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid, "W", [high , low ], lookahead = barmerge.lookahead_on) 2. Equal-High and Equal-Low Tracking Confirmed pivots are compared in ATR terms to identify clustered highs and lows. 3. Sweep-State Persistence Sweeps remain active for a configurable confirmation window. That allows follow-through logic to validate the narrative. 4. Displacement Validation The script checks whether the reaction away from a pool is meaningful through body expansion and gap behavior. 5. Imbalance Management Imbalance zones are stored and extended as long as they remain active. 6. Repricing Block Management Order-block style repricing areas are created after structural breaks and managed over time. 7. Filter Stack Trend, RVOL, RSI, and session filters can refine signal quality. 8. Confluence Scoring The indicator counts alignment across the active liquidity narrative. Features Prior-day and prior-week levels: major reference pools are tracked Equilibrium levels: daily and weekly range centers are shown Equal-high / equal-low detection: clustered pools are identified Sweep persistence: active sweep context remains available for confirmation Displacement checks: strong rejection is separated from weak noise Imbalance boxes: active FVG-style zones extend until mitigation or expiry Repricing blocks: revisit zones are stored and managed Filter stack: trend, RVOL, RSI, and session alignment are available Confluence scoring: current liquidity alignment is summarized Dashboard: active pool, trend, confluence, and signal state are displayed Input Parameters Reference Levels: Show Prior Day Levels Show Prior Week Levels Show Equilibrium Track Weekly Sweeps Sweep / Zone Logic: Structure Length Sweep Reset Bars Zone Extension Equal Pool Tolerance ATR Zone Max Age History Limits Validation: Require Displacement Displacement Multiplier Use Trend Filter Use RVOL Filter Use RSI Filter Use Session Filter How to Use This Indicator Step 1: Identify the active daily or weekly liquidity pool. Step 2: Check whether price only touched the pool or actually swept it. Step 3: Look for displacement and structure response after the sweep. Step 4: Watch active imbalances and repricing blocks for later revisits. Step 5: Use the confluence count to separate weak narratives from stronger ones. Indicator Limitations Obvious liquidity pools can be tapped or swept multiple times before direction resolves Object-heavy overlays may appear dense on low timeframes if many zones remain active Pivot-based pool detection confirms after the swing completes, which is intentional non-repainting behavior Zones are analytical references, not guarantees of reversal or continuation Originality Statement This script is original in how it combines sweep persistence, equal-pool detection, imbalance inventory, repricing blocks, and confluence scoring into one coordinated liquidity framework. The components are integrated because they all describe the same process: price probing liquidity, taking it, and either failing or accepting beyond it. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Liquidity reactions can fail. Sweeps can repeat. No level or zone guarantees a directional outcome. Always use independent judgment and risk management. Best Use Cases Mapping where obvious daily and weekly liquidity is likely resting Studying how price behaves after a confirmed sweep Tracking whether displacement and imbalance support the sweep narrative Marking revisit zones after structural repricing Interpretation Notes A sweep by itself is only the beginning of the story. The more useful sequence is sweep, displacement, structural response, and active zone support. Equal-high and equal-low references are helpful because they often identify where liquidity may accumulate before the sweep occurs. The confluence score should be interpreted as a narrative-strength read, not a promise of reversal. Publication Notes This script is intended to be published with a clean chart that clearly shows the active liquidity pool, the current sweep state, and one or two relevant active zones. Do not overload the publication chart with unrelated drawings. The value of the visual example should come from clarity rather than chart decoration. -Made with passion by jackofalltrades Chart Reading Framework 1. Start with the active daily or weekly pool. 2. Determine whether price only touched or truly swept the pool. 3. Check displacement, break state, and confluence. 4. Review active imbalances and repricing blocks for the next revisit path. 5. Use the dashboard to verify whether the liquidity narrative is strengthening or fading. Why This Matters Liquidity logic becomes much more useful when it is organized as a process instead of a list of disconnected levels. This indicator is meant to help the user see that process clearly. Open-Source Notes This script is published open source so users can inspect how sweep persistence, imbalance management, and zone aging are handled. Who This Is For This indicator is for traders who want a structured liquidity map rather than isolated levels. It is especially useful for users who think in terms of sweeps, repricing, and revisit zones. Summary JOAT Liquidity Cartography turns scattered liquidity references into one organized live framework. Its main value is clarity. Additional Notes The strongest use of this script comes from following the sequence of events rather than reacting to a single box or line in isolation. Clean publication images should make that sequence obvious.
Penunjuk Pine Script®
oleh officialjackofalltrades
Meridian Imbalance Ledger [JOAT]Meridian Imbalance Ledger Introduction Meridian Imbalance Ledger is an open-source imbalance mapping tool that tracks confirmed chart-timeframe, higher-timeframe, and micro-structure fair value gaps inside one coordinated framework. The script is designed to answer three practical questions: where imbalance was created, whether that imbalance is still active, and how price is behaving when it returns to those zones. The indicator solves a context problem. Many imbalance tools only mark a gap once and leave the trader to manually judge whether it remains relevant. Meridian instead maintains a living ledger of active zones, inversion status, fill progress, age, and structural pressure so the chart shows which imbalances still matter and which ones have been consumed. Core Concepts 1. Multi-source imbalance detection Meridian separates imbalance generation into three sources: Chart timeframe imbalances Higher-timeframe imbalances requested with non-repainting offset logic Optional micro-structure imbalance scans from lower-timeframe data This allows a trader to see whether current price is interacting with local inefficiency, inherited higher-timeframe inefficiency, or smaller sub-bar displacement inside the current bar structure. 2. Fill progress and retirement logic Each zone remains active until its fill rule is satisfied. The script supports configurable retirement behavior so zones can be treated as mitigated on a simple touch, midpoint interaction, or deeper body-based invalidation depending on the chosen rule set. 3. Inversion tracking If price meaningfully breaches an imbalance, the zone can be treated as structurally altered rather than simply forgotten. Meridian keeps inversion state so prior bullish inefficiency can become resistance context and prior bearish inefficiency can become support context. 4. Age and pressure weighting Not all zones deserve equal weight. Meridian tracks zone age and active count to create a pressure ratio that helps communicate whether bullish or bearish imbalance structure is dominating the chart right now. Features Chart, HTF, and micro imbalance layers: Multiple imbalance sources displayed in one coordinated ledger Non-repainting HTF requests: Higher-timeframe data requested using historical offsets for safer confirmed context Fill-progress tracking: Zones remain active until their configured retirement condition is met Inversion state handling: Breached imbalances can remain visible as flipped structural context Age-aware zone fading: Older zones visually decay to reduce clutter while retaining context Pressure ratio and active counts: Quick read on whether bullish or bearish imbalance pressure is leading Compact top-right dashboard: Displays counts, inversion totals, micro scan status, and bias ratio Confirmed-bar alerts: New imbalance, inversion, and state transitions only trigger on confirmed bars How to Use This Indicator Step 1: Identify whether current price is trading inside fresh chart-timeframe imbalance or approaching older inherited imbalance from a higher timeframe. Step 2: Use the dashboard counts and bias ratio to judge whether current imbalance structure is skewed toward support or resistance. Step 3: Monitor inversion states. A previously bullish zone that has failed cleanly may become useful resistance context on retests. Step 4: Treat micro imbalance scans as execution detail, not a standalone trend signal. The broader chart and HTF layers should carry more decision weight. Limitations Micro-structure scans depend on lower-timeframe availability and plan limits HTF imbalances are intentionally delayed by one completed HTF bar to reduce repaint risk An imbalance zone is contextual, not a guarantee of reversal or continuation Originality Statement Meridian Imbalance Ledger is original in the way it combines confirmed chart imbalances, non-repainting higher-timeframe imbalance inheritance, optional micro scans, and zone lifecycle management into one stateful framework. The script is intended as a structured market context layer, not a one-click entry signal. Disclaimer This indicator is provided for educational and informational purposes only. It does not provide financial advice or trade recommendations. Imbalance reactions can fail, invert, or be ignored entirely by the market. Always use independent confirmation and risk management.
Penunjuk Pine Script®
oleh officialjackofalltrades
Ultimate FVG/NWOG By FreedomByChartsUltimate FVG/NWOG By FreedomByCharts A clean, no-bloat FVG and NWOG indicator built around how I actually trade: chart timeframe + three independent higher timeframes + the New Week Opening Gap, all in one global colour scheme with sensible defaults and granular per-source control. Why this one Most FVG indicators on TV fall into one of two camps. Either they're stripped down to the bare chart-timeframe pattern with a single fill colour and a hardcoded mitigation rule, or they're bloated with theme presets, IPDA modes, half-finished features and ten settings groups you'll never use. This one is built the other way round: deep where it matters (mitigation logic, NWOG accuracy, display control), and stripped of everything that doesn't earn its place on the chart. What's actually different: Four mitigation modes, not one. Wick Filled (full), Body Filled (full), Wick 50%, Body 50%. Pick what matches your model — strict body close beyond the far side, or a partial wick into the midpoint, or anything between. Independent box and line visibility per source. Box on, lines off. Lines on, box off. Top + bottom only, no middle. Mid line dotted, top and bottom solid. Whatever you want — five sources, each independent. Mitigated FVGs become iFVGs. When an FVG gets mitigated its label flips from e.g. `1H` to `1H iFVG`, marking the zone as an inverted FVG — the same level can now act in the opposite direction. NWOG labels stay as `NWOG` since the inversion concept doesn't apply. Mitigated zones can drop their lines automatically. Per-source toggle: keep the grey box for context, lose the line clutter. Active zones stay fully drawn. Three HTFs at once, plus chart TF, plus NWOG. Run 1H, 4H, 1D simultaneously while the chart-TF FVGs print on whatever you're looking at. Each fully configurable. No request.security guesswork — the HTF tracking is explicit and aligned to the chart bars where each HTF period's high and low actually occurred. NWOG done properly, including holiday weeks. The NWOG anchors to the close of the last 1H bar before the weekend (Friday on a normal week, Thursday on Easter / Good Friday week) and the open of Sunday's first 1H bar. No stale Friday-only state, no wrong-priced boxes anchored at the wrong bar after holiday closes. Single global colour scheme. One bullish colour, one bearish colour, one mitigated grey. Applied uniformly across every source for a clean, professional look. NWOG can override its own bull/bear colours if you want it to stand out. No display caps you have to work around. Set the unfilled count and mitigated count per source to whatever you actually want to see. Old zones get pruned automatically as new ones form. What it draws Chart FVGs — current timeframe, both bullish and bearish. HTF1, HTF2, HTF3 — three configurable higher timeframes (defaults: 1H, 4H, 1D), all rendered on the current chart. NWOG — the body gap between the close of the last 1H trading bar before the weekend and the open of Sunday's first 1H bar. For each zone you get an optional coloured box (transparency adjustable), an optional top line, mid line, bot line (each with independent show/hide and Solid/Dashed/Dotted style), and an optional label showing the timeframe (auto-formatted as "1H", "4H", "1D", "NWOG", etc). When a zone is mitigated, the box recolours to grey, the lines either go grey or hide entirely depending on the per-source toggle, and the label flips to show iFVG status (e.g. `1H` becomes `1H iFVG` — NWOGs keep their `NWOG` label). Mitigated zones stay visible for as many slots as you allow, then get pruned. Mitigation methods explained For a bullish FVG (zone below price), the chosen method tests whether price has come back down into the zone: Wick Filled (full) — bar's low has reached the bottom of the zone. Default. Body Filled (full) — bar's close has reached the bottom of the zone. Wick 50% — bar's low has reached the midpoint. Body 50% — bar's close has reached the midpoint. Bearish zones (above price) test the opposite direction. Mitigation triggers an alert if you've enabled it for that source. Alerts Two alert flags per source: entry (price first touches the zone) and mitigation (price meets the mitigation criterion). Alert text identifies the source timeframe, direction (bull or bear) and the price. Settings, top to bottom Appearance — bull / bear / mitigated colours, box transparency, mitigated box transparency, line width, right-edge extension (default 0 = right edge sits at the current bar; raise it to extend further right), label text colour. Mitigation — single global mitigation method dropdown. Chart — enable, box / line visibility, line styles, unfilled and mitigated counts, mitigated-lines toggle, label settings, alerts. HTF 1, HTF 2, HTF 3 — same controls as Chart plus a timeframe input. NWOG — same controls as the others, plus optional NWOG-specific bull/bear colour overrides. Notes on usage For NWOG live detection use a 1H or smaller intraday chart. On 4H+ charts the bar boundaries don't land on the 18:00 NY moment cleanly so new NWOGs won't form. HTF FVGs appear on the chart at the bar where their HTF period closed, anchored back to the chart bars where the relevant HTF candle highs and lows occurred — this gives a clean "stepped" visual at the zone's left edge that shows how it formed. The right edge of every zone tracks the current bar in real time. Set "Extend right beyond current bar" higher if you prefer a fixed runway. TradingView caps total drawn objects at 500 lines / 500 boxes / 500 labels. With three lines per zone enabled across many sources at high display caps, you can hit those limits — drop the mid line first (it's off by default for that reason) and you double your headroom. Built specifically for the way I trade GC futures on the 1H. Sharing because I haven't seen another FVG indicator that handles all three of these together: holiday-week NWOGs, four mitigation modes, and independent box/line control per source. Feedback welcome.
Penunjuk Pine Script®
oleh FreedomByCharts
Ranked FVG Imbalance Zones (Zeiierman)█ Overview Ranked FVG Imbalance Zones (Zeiierman) is a next-generation Fair Value Gap tool that transforms how imbalances are evaluated by ranking them in real time using structured data and Pine Script’s latest UDT collection sorting capabilities. Instead of plotting every detected gap equally, the script stores each FVG as a structured object, evaluates its quality using multiple factors, and dynamically ranks all active zones. The result is a cleaner, more actionable view of only the highest-priority imbalances. This approach reduces noise and shifts focus toward the zones that matter most under current market conditions. █ How It Works ⚪ Structured FVG Objects (UDT Engine) Each detected FVG is stored as a user-defined type (UDT), containing: Price range (top and bottom) Direction (bullish or bearish) Size and age Mitigation state Volume and trend alignment Bullish and bearish strength components Final quality score This allows every imbalance to behave like a data object rather than a simple drawn box. ⚪ Multi-Factor Quality Scoring Each FVG is assigned a dynamic quality score based on: Gap size relative to volatility Volume expansion vs average Trend alignment (EMA-based) Candle strength and displacement Mitigation progress and age decay This converts raw imbalances into comparable signals with measurable strength. ⚪ UDT Collection Sorting (New Pine Feature) All FVG objects are stored inside an array and sorted using: fvgs.sort(order.descending, sort_field = "qualityScore") This uses TradingView’s new ability to sort collections of user-defined types directly by a field. Instead of manually filtering or iterating through values, the script ranks all zones instantly and efficiently using native sorting. ⚪ Ranked Output (Signal Prioritization) After sorting, only the highest-ranked FVGs are displayed. Lower-quality zones remain stored internally but are hidden from view. This creates a priority-based map of imbalances, where the chart highlights only the most relevant opportunities. ⚪ Strength Distribution (Internal Pressure View) Each FVG is split into bullish and bearish strength components. These are displayed as internal bars within the zone, showing: Who controlled the move Whether the imbalance is stable or weak If opposing pressure exists inside the gap █ Why This Approach Is Different ⚪ Ranking vs Filtering Traditional FVG tools rely on fixed rules (size thresholds, simple conditions). This tool instead ranks all zones relative to each other, adapting dynamically to market conditions. ⚪ Native Sorting Advantage Using Pine’s new UDT sorting: Eliminates complex manual ranking logic Improves performance and scalability Allows real-time reordering as conditions change Enables true “top N” selection of signals This was not efficiently possible before UDT collection sorting. ⚪ Noise Reduction By showing only the top-ranked zones: Chart clutter is reduced Focus shifts to high-quality setups Decision-making becomes clearer █ How to Use ⚪ Focus on Top Zones Only the highest-ranked FVGs are shown. These represent the strongest imbalances based on current conditions. ⚪ Read Strength Internals Higher directional strength → stronger continuation potential Mixed strength → weaker or more reactive zone Opposing strength dominance → higher chance of failure or fill █ Settings Show Top Zones: Controls how many of the highest-ranked FVGs are displayed. Max Stored FVGs: Controls how many zones are tracked internally. Volume Length: Defines the baseline for volume comparison. Trend Length: Defines the EMA used for trend alignment scoring. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Penunjuk Pine Script®
oleh Zeiierman
16
Fair Value GapsFair Value Gaps (FVG) auto-detects bullish (+FVG) and bearish (-FVG) three-candle imbalances on any chart, any timeframe. Tracks each gap's state through its lifecycle and shows a real-time dashboard with active gap counts, nearest gap distance, and exact zone prices. WHAT IS A FAIR VALUE GAP An FVG is a three-candle pattern where the middle candle moves so aggressively that it leaves a gap between the wick of the prior candle and the wick of the following candle. Price often returns to fill these gaps before continuing — making them useful as targets, entry zones, or invalidation levels. A bullish (+FVG) forms when the low of the current candle is above the high of two candles ago, with a bullish middle candle. A bearish (-FVG) is the inverse. FEATURES Auto-detects pip size for JPY pairs, other forex, metals, indices, and crypto — no manual configuration needed Tracks up to 10 active FVGs per side with configurable minimum size filter to ignore noise Auto-removes filled FVGs OR keeps them on chart greyed out (your choice) Optional midline marker (50% mitigation level) Configurable label limit so only your most recent active gaps are annotated — prevents chart clutter Dashboard shows active count, distance to nearest gap, and exact zone prices Cells highlight amber when price is currently inside a gap (mid-mitigation) Movable dashboard position (six options) so it coexists with other indicators Built-in alerts for new bullish and bearish FVG formations HOW TO USE Use FVGs as targets when price has left an unfilled gap behind — markets often return to fill them. Use them as entry zones when price retraces into a gap in the direction of the higher-timeframe trend. Use them as invalidation when price closes through a gap that should have held as support or resistance. Particularly useful for SMC and ICT traders watching for liquidity sweeps followed by displacement into a fair value gap, then a retracement entry. Pairs cleanly with the Key Swing Levels (KSL) indicator from the same author — KSL's dashboard defaults to top-right, FVG's to bottom-left, no overlap. Open-source. Feedback and forks welcome.
Penunjuk Pine Script®
oleh ajaypercy
Ict Ny MmxmBuilt to map NY session market maker price delivery using First Presented Imbalances, macro windows, and session-based imbalance structure. The script identifies the first fair value gap/imbalance during the AM and PM NY session windows, marks its high, low, midpoint, and optional 4x projection levels. It also tracks the 9:50–10:10 AM macro window and highlights its high, low, midpoint, and first macro imbalance. These levels are extended forward so the trader can see how price interacts with key session structure through the rest of the trading day. The Market Maker section uses the selected expected bias to filter and highlight the most relevant bullish or bearish imbalances after the FPI forms. For bullish bias, the tool focuses on lower imbalance structure that may support a market maker buy model. For bearish bias, it focuses on higher imbalance structure that may support a market maker sell model. This is not just a mashup of separate tools. The purpose is to combine FPI, macro timing, and imbalance selection into one workflow for reading direct intraday NY price delivery. The FPI gives the initial displacement reference for direction - not entry. The macro window gives the timing structure, and the market maker imbalance logic helps define the likely supporting or opposing price zones at extremes. Suggested use: Use the Expected Bias setting first, then review how price reacts to the AM/PM FPI, macro range, midpoint levels, and highlighted imbalance zones. The script is designed for intraday session review, execution planning, and backtesting NY AM/PM market maker models. For the published chart, use a clean chart with only this indicator visible so the FPI boxes, macro levels, and market maker imbalance zones are easy to identify.
Penunjuk Pine Script®
oleh SunovaBeach
2
Displacement Forge [JOAT]Displacement Forge Introduction Displacement Forge is an open-source order block detection engine built on Z-Score impulse analysis. It identifies statistically significant price displacements — moves that exceed a configurable standard deviation threshold relative to recent price change history — and marks the candle immediately preceding each displacement as an Order Block Zone. Order blocks represent the price ranges from which institutional order flow originates. Price regularly returns to these zones to fill remaining orders, and Displacement Forge identifies and tracks each one, monitors for zone reactions, and records cumulative rejection statistics. The problem order block analysis solves is entry precision. A trend bias tells you direction. An order block tells you at what price the institutions that created that trend loaded their positions. Returning to those prices to enter alongside institutional flow — rather than chasing moves already in progress — is the conceptual foundation Displacement Forge is built on. The Z-Score gate ensures only statistically significant displacements qualify, filtering out small impulses caused by normal market noise. Core Concepts 1. Z-Score Displacement Detection Rather than using fixed ATR multiples to define a "significant" move, Displacement Forge computes the Z-Score of each bar's price change relative to the rolling distribution of recent price changes. The Z-Score measures how many standard deviations the current move is from the recent mean: priceChg = close - close avgChg = ta.sma(priceChg, zscoreLen) stdChg = ta.stdev(priceChg, zscoreLen) zscore = stdChg > 0 ? (priceChg - avgChg) / stdChg : 0.0 A positive Z-Score above the threshold with a bullish candle close and a higher close than recent highs — filtered by an EMA and VWAP trend context — constitutes a bullish displacement impulse. A negative Z-Score below the negative threshold with a bearish close and lower-than-recent lows in the opposing trend context constitutes a bearish displacement impulse. 2. Order Block Zone Identification When a displacement impulse is detected, the indicator looks backward through the impulse lookback window for the last candle in the opposite direction — the candle just before the institutional move began. That candle's high and low define the order block zone. This captures the price range where institutional orders were being placed before the displacement candle consumed available liquidity: if bullImpulse for i = 1 to impulseLook if close < open // Last bearish candle before the impulse obLow := low obHigh := high break Each zone is drawn as a box on the chart using the pre-impulse candle's range. Bull order blocks are drawn with a bullish tint (price expected to react bullishly when revisited). Bear order blocks with a bearish tint. 3. EMA and VWAP Trend Filter Two independent trend filters gate displacement qualification. The EMA filter (200-period by default, configurable) requires bull displacements to occur above the EMA and bear displacements below it. The VWAP filter adds an intraday fair-value gate — bull displacements require price to be above the current VWAP, bear displacements require price to be below. Both filters can be independently enabled or disabled: bullImpulse = zscore > threshold and close > open and close > ta.highest(close, impulseLook) and (not useEma or close > ema200) and (not useVwap or close > ta.vwap) 4. Zone Reaction Detection and Rejection Counting Active order block zones are continuously monitored for price reactions. A bullish reaction occurs when the candle low touches or enters the bull zone range with a bullish close. A bearish reaction occurs when the high touches or enters the bear zone range with a bearish close. Each confirmed reaction increments the independent bull and bear rejection counters displayed in the dashboard: if ob.isBull and low <= ob.top and low >= ob.bottom and close > open bullReactionDetected := true totalBullRejections += 1 5. Zone Lifespan and Active Zone Management Each zone carries an age counter that increments bar by bar. Zones exceeding the maximum age (configurable) are automatically removed as inactive. The active zone count and total tested zone count are tracked and displayed in the dashboard, giving a running picture of how many zones are currently relevant versus how many have been tested and absorbed. Features Z-Score impulse gate: Displacement qualification based on standard deviations from the rolling price-change distribution, not arbitrary fixed thresholds Order block zone boxes: Pre-impulse candle ranges drawn as colored boxes on the chart for both bull and bear impulses EMA trend filter: Configurable EMA length gates displacement direction relative to long-term trend VWAP trend filter: Intraday VWAP provides a fair-value gate alongside the EMA for dual confirmation Zone reaction monitoring: Active zones continuously checked for price reactions with independent bull and bear rejection counters Zone age management: Configurable maximum zone age with automatic removal of expired zones Active and tested zone counts: Dashboard tracks how many zones are live versus how many have been tested Bull and bear rejection totals: Cumulative counts of all confirmed zone reactions by direction Displacement markers: Labeled arrows at each confirmed displacement bar (BULL DISP, BEAR DISP) with size and style differentiation Divergence detection: Z-Score divergence against price direction labeled (BULL DIV, BEAR DIV) and hidden divergence (H.BULL, H.BEAR) Institutional dashboard (top right): 13-row table with Z-Score, displacement state, OB reactions, active zone count, tested zone count, EMA and VWAP filter status Fully configurable: Z-Score length and threshold, impulse lookback, EMA length, VWAP toggle, zone max age, and zone visibility independently adjustable Alerts: Separate alertconditions for bullish and bearish displacement impulses Input Parameters Displacement Detection: Z-Score Length: Rolling window for mean and standard deviation calculation (default: 20) Z-Score Threshold: Standard deviation threshold for displacement qualification (default: 1.5) Impulse Lookback: Bars back to search for the pre-impulse order block candle (default: 5) Trend Filters: EMA Length: Trend EMA period (default: 200) Use EMA Filter toggle (default: enabled) Use VWAP Filter toggle (default: enabled) Zone Management: Max Zone Age (Bars): Maximum bar lifespan of active zones before automatic removal (default: 100) Show OB Zones toggle Display: Show Dashboard toggle Show Divergence Labels toggle Bullish and Bearish color inputs How to Use This Indicator Step 1: Identify the Current Z-Score and Displacement State The dashboard shows the live Z-Score value and displacement state (BULL IMPULSE, BEAR IMPULSE, or NEUTRAL). Use the Z-Score value as a real-time gauge of how statistically extreme the current price move is relative to recent history. Step 2: Locate Active Order Block Zones After any displacement, a colored box marks the pre-impulse candle range. These zones are the areas where institutional orders were accumulated before the move. The dashboard's Active Zones row shows how many live zones are currently on the chart. Step 3: Wait for Price to Return to a Zone When price retraces after a displacement and enters an active zone, watch for a reaction candle. A bullish close from within a bull zone or a bearish close from within a bear zone constitutes a zone reaction and increments the dashboard's rejection counter. Step 4: Apply EMA and VWAP Context The EMA filter status (ABOVE/BELOW) and VWAP filter status in the dashboard confirm whether the trend context supports the zone direction. An active bull zone with price above both the EMA and VWAP provides a higher-context long reaction than the same zone in a downtrend. Step 5: Observe Divergence Labels BULL DIV and BEAR DIV labels appear when the Z-Score diverges from price direction — Z-Score momentum and price momentum disagree. H.BULL and H.BEAR mark hidden divergence. These are secondary signals that may precede displacement reversals. Indicator Limitations The Z-Score is computed relative to the rolling price-change distribution of the configured lookback period. During regime changes or low-liquidity periods, the distribution can shift and cause the threshold to misfire Order block identification looks backward from the displacement bar. The pre-impulse candle selection is algorithmic — it finds the last opposite-direction candle within the lookback. In some impulse structures this may not match the manually identified order block Zone reaction detection requires the candle to touch the zone range in the same bar that a directional close occurs. Multi-bar zone entry sequences are not separately tracked The VWAP calculation resets at daily boundaries. On instruments that trade across midnight or on continuous futures contracts, the VWAP reset behavior may differ from expectations This indicator identifies order block zones and reactions. It does not generate trade entry signals, and zone reactions do not guarantee price continuation from the zone Originality Statement Displacement Forge is original in its application of Z-Score analysis to price change distribution as the gate for order block qualification, combined with a dual trend filter and automatic zone reaction monitoring with cumulative statistics. This indicator is published because: Using the rolling Z-Score of bar-by-bar price changes — rather than raw ATR multiples — to define what constitutes a statistically significant displacement provides an adaptive, distribution-aware threshold that adjusts to current volatility rather than using fixed values The pre-impulse candle lookback logic that identifies the order block as the last opposite-direction candle before the displacement provides a specific, repeatable rule for zone placement that eliminates the ambiguity of manual order block selection The dual trend filter combining a configurable EMA with VWAP — both independently togglable — provides layered directional context that single-MA systems do not offer Tracking cumulative bull and bear rejection counts alongside active and tested zone counts provides ongoing statistical feedback on how the order block zones are performing across the chart history Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Order block zones are identified using statistical and structural criteria but do not guarantee any particular price reaction when revisited. Z-Score thresholds are parameters that require adjustment to match specific instruments and timeframes. Past zone reactions do not guarantee future reactions. Always use proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator. -Made with passion by jackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
2
Buy/Sell Pressure Meter [AGPro Series]Buy/Sell Pressure Meter 🔹 Overview Buy/Sell Pressure Meter is a volume-flow analytics tool that quantifies the tug-of-war between buyers and sellers on every bar and on a rolling basis. Unlike traditional volume delta indicators that only plot raw bar-level buy minus sell, this tool layers four complementary lenses into a single oscillator: rolling pressure trend, imbalance streak tracking, intraday pressure shift count, and session-accumulated dominance. A subtle price-pane background tint gives a Bookmap-light read on intraday participation that works across crypto, futures, and liquid equities — without requiring tick-level order flow data. 🔹 Unique Edge Most volume-delta scripts answer the question "which side was bigger on this bar?" This one answers a different, more useful question for intraday traders: "who has been in control, and how stable is that control?" • Rolling Pressure Trend — a moving average of buy and sell pressure separately (dual histogram), so you see structural bias, not just bar-to-bar noise. • Imbalance Streak Tracking — counts consecutive same-side dominant bars and labels only the final length of each significant streak at the moment the streak breaks. No per-bar label spam, one clean marker per event. • Intraday Pressure Shift Count — how many times the rolling dominant side has flipped since session open. High shift count = rotational day. Low shift count = trending day. • Session-Accumulated Net Delta — cumulative bull vs bear contribution since the day began, independent of the rolling window. • Price-Pane Bookmap-Light Tint — a very high-transparency background tint paints the main chart pane when one side is rolling-dominant, so you see control visually without leaving the price chart. These five lenses together are deliberately designed not to overlap with raw volume-delta or cumulative-volume-delta indicators. They describe the character of participation, not just its magnitude. 🔹 Methodology Because standard chart data does not include true tick-level order flow, this script uses a widely-accepted proxy: up-bar volume is attributed to buy pressure, down-bar volume to sell pressure, and doji volume is split evenly. This is explicitly a simulated bias — not real bid/ask flow — and the script labels it as such in the panel. From that proxy: 1. Current-bar bull pressure percentage = buyPressure / (buyPressure + sellPressure) × 100. 2. Rolling pressure = SMA of buy and sell pressure over the user-defined window (default 20 bars). 3. A bar is classified bull-dominant when its bull pressure percent exceeds the dominance threshold (default 55%), and bear-dominant at the mirror level. 4. Streaks count consecutive bars of the same classification and reset when a neutral or opposite bar prints. Peak length is captured at the moment of reset and optionally labelled on chart. 5. Pressure shifts compare the current rolling dominant side against the last confirmed non-neutral dominant side; a change increments the intraday shift counter (only on intraday timeframes). 6. Session delta is the cumulative net delta since the last daily rollover. 🔹 Signals & States • Dual histogram — buy pressure (teal, upward) and sell pressure (pink, downward) plotted as rolling averages. • Net delta center line — accent-colored line showing rolling buy minus sell. • Price-pane background tint — subtle teal or pink when one side is rolling-dominant, gives a Bookmap-light feel without obscuring candles. • Oscillator-pane echo tint — even more subtle tint mirroring the dominant side in the indicator pane. • Shift markers — triangles on the pane when the dominant side flips. • Streak peak labels — plotted only at streak termination, showing final length (e.g. "Bull 7"). • Alerts — pressure shift to bull, pressure shift to bear, bull imbalance streak, bear imbalance streak. 🔹 Key Inputs Calculation: • Rolling Pressure Length — default 20. Higher = smoother, slower reaction. • Minimum Streak To Highlight — default 3. Used for alerts. • Dominance Threshold — default 55%. Share of total pressure needed to classify a bar as dominant. Visuals: • Tint Price Pane On Dominance — toggles the Bookmap-light effect on the main chart. • Show Streak Peak Labels + Minimum Streak Length To Label (default 5) — controls chart cleanliness. • Show Pressure Shift Events — triangle markers on shifts. • Background Tint Transparency — default 94, adjustable 80-99. Panel: • Panel Location, Theme (Dark / Light), Font Size, Label Font Size — all default to Normal and fully configurable. 🔹 How To Use This is an analytical tool, not a standalone trading system. Typical use cases: • Confirmation — when price breaks a structure level while the rolling net delta is strongly in the break direction and a streak is in progress, the break has participation behind it. • Exhaustion — a long bull streak peak followed by a rolling shift to bear, or vice versa, often marks the end of the current impulse. • Regime read — a day with many intraday pressure shifts is rotational; a day with 0-1 shifts is directional. Adjust your playbook accordingly. • Companion to S/R, supply/demand, and volume profile tools — use the streak peak and shift events as a participation filter when price interacts with a zone. Best results on liquid instruments with meaningful bar-to-bar volume variation. Low-volume illiquid tickers produce noisier readings. 🔹 Limitations & Transparency • The buy vs sell attribution is a proxy derived from bar direction and bar volume. It is not real order flow, Level 2, or tick data. Bookmap, CVD from exchange feeds, and footprint tools access information that bar-level scripts structurally cannot replicate. • On instruments or timeframes where many bars close near their open (doji-heavy regimes), proxy-based attribution becomes less informative. • The intraday shift counter is only meaningful on intraday timeframes; on daily-and-above timeframes the panel explicitly shows this as n/a. • The script is non-repainting on closed bars. Intrabar values update in real time and may change until the bar confirms. • Pressure shifts and streaks describe past and current state. They are not predictions of future price. 🔹 Risk Disclosure This script is provided as an analytical tool for educational and research purposes. It does not constitute financial advice, a trading signal, or a recommendation to buy or sell any asset. Past performance of any pattern, streak, or shift event does not guarantee future results. Users are solely responsible for their own trading decisions and risk management. Always combine any indicator with broader market context, position sizing discipline, and your own due diligence.
Penunjuk Pine Script®
oleh AGProLabs
2
Fair Value Gap Auto-Fill Tracker [DefinedEdge]This indicator detects Fair Value Gaps (3-candle imbalances) and automatically tracks whether they get filled — replacing guesswork with hard data. A built-in dashboard shows fill rate, average fill speed, and active gap count in real time. Most FVG indicators just draw boxes. This one tells you how reliable those gaps actually are on your chart. How It Works: A bullish FVG forms when the current candle's low is above the candle-two-bars-ago's high, creating an upside imbalance. Bearish is the mirror. Each gap is sized as a percentage of price and filtered by min/max thresholds to remove noise and news spikes. Gaps that overlap older active gaps replace them to keep the chart clean. Once detected, every gap is tracked bar-by-bar until one of three things happens: it gets filled, it expires, or it stays active. Fill Modes: Touch (Wick) — counts as filled when price touches the gap edge CE / 50% — filled when price reaches the Consequent Encroachment (midpoint), the standard ICT target Full (100%) — only counts when the entire gap is closed Switch between modes to see how fill behavior changes on your chart. Features Fill Rate Dashboard — live bull/bear/total fill %, avg fill speed in bars, active count CE Midline — dashed line at the gap midpoint TP Projections — 1x and 2x gap-height targets from the gap edge Gradient Intensity — larger gaps are more opaque for visual weight Gap % Label — imbalance size printed inside each zone Session Filter — only detect FVGs during a specific session window State Lifecycle — Active (bright, solid border) → Filled (faded, dashed) → Expired (gray, dotted) Overlap Dedup — newer gaps that overlap older ones clean up automatically Recommended Settings Swing (4H/Daily): Min 0.3%, Max 8%, Expire 200 bars, CE mode Intraday (15m/1H): Min 0.1%, Max 5%, Expire 100 bars, CE mode Scalping (1m/5m): Min 0.05%, Max 3%, Expire 50 bars, Touch mode Works on any asset and any timeframe.
Penunjuk Pine Script®
oleh DefinedEdge
Price Void Atlas [AGPro Series]Price Void Atlas 🗺️ OVERVIEW Price Void Atlas maps the chart's low-interaction price corridors — zones where price travelled fast and spent very little time — and tracks how price behaves when it returns. Unlike volume-based profiles that highlight crowded price levels, this indicator surfaces the opposite: the empty highways of the chart. Every corridor carries a live state (Fresh, Entered, Passed, Rejected) so you can read return behavior at a glance. 🧭 UNIQUE EDGE Most volume profile and imbalance tools show where price concentrated. Price Void Atlas inverts the question: where did price refuse to concentrate? The detection engine is purely time-weighted and ATR-normalized, so it works identically on instruments without reliable volume data (forex, many altcoins, CFDs). The state machine adds a second layer — it does not just detect voids, it follows their return stories. This combination (time-based emptiness detection + entry-side-aware state tracking) is the core differentiator. 🔬 METHODOLOGY The Scan Length window is sliced into 40 horizontal price bands. For each historical bar in the window, every band it intersects receives an ATR-normalized time weight. Bands that accumulate weight below a sensitivity-driven percentile threshold are flagged as empty. Contiguous empty bands form a corridor. Height is capped at 50% of total range to keep corridors structurally meaningful. Candidates are scored on a 65/35 weighted blend of emptiness intensity and ATR-normalized height, then the top N survivors are kept. Optional vertical proximity merging (0.3×ATR) consolidates nearby corridors into larger atlas-feel zones. The state machine then observes price behavior per corridor: - Fresh → never touched since birth - Entered → price crossed inside; entry side is locked (top or bottom) - Passed → close crossed beyond the far boundary (clean traversal) - Rejected → close reversed beyond entry side by 35% of corridor depth 🔔 SIGNALS & ALERTS Three independent alert channels: - Void Entered — price re-enters an active corridor - Void Passed — price closes through the far boundary - Void Rejected — price reverses past its entry side Each alert fires once per bar on confirmed close. Corridors are drawn as persistent ATR-aware rectangles with state-colored borders and labels. A dominant corridor (highest rank score) gets a thicker border as a visual hierarchy cue. 🎛️ KEY INPUTS Core Engine - Scan Length (100–1000): window of bars analyzed - Sensitivity (Strict / Balanced / Loose): emptiness threshold - Max Voids (1–6): hard cap on simultaneous corridors - Hide Resolved Voids: removes Passed/Rejected for a clean view - Merge Vertically Close Voids: atlas consolidation Visual - Panel Location (5 positions), Panel Theme (Dark / Light) - Panel Font Size, Label Font Size (tiny → large, default normal) - Show Entry Side Hint (↑ / ↓ arrows on Entered labels) Alerts - Individual toggles for Entered / Passed / Rejected 🎯 HOW TO USE 1. Apply on a chart with enough history (200+ bars recommended for 300 Scan Length) 2. Fresh amber zones are untouched voids — potential re-interaction targets 3. When price approaches a Fresh zone, the corridor turns indigo (Entered) 4. Observe whether the interaction resolves as a traversal (Passed, teal) or a turn-away (Rejected, pink) 5. Use corridor boundaries as structural reference points alongside your own system 6. The dominant corridor (thickest border) represents the cleanest void by rank score 7. Works across all timeframes; adaptive rebuild cadence keeps performance consistent ⚠️ LIMITATIONS & TRANSPARENCY - This is an analysis aid, not a trading strategy. It does not generate buy or sell signals. - Corridor detection requires at least Scan Length bars of history; newly loaded charts render progressively as history accumulates. - The time-weighted emptiness metric depends on ATR stability; very low-volatility environments may produce fewer meaningful voids. - State transitions are evaluated on confirmed bar closes to prevent intrabar repainting. - Corridors persist across bars but are rebuilt on an adaptive cadence (5–25 bars depending on timeframe) for CPU efficiency. - All visuals are computed from the visible historical data on the current chart; extending the lookback will refresh the atlas. 🛡️ RISK DISCLOSURE This indicator is provided for educational and analytical purposes only. It does not predict future price movement, does not generate trade recommendations, and does not constitute financial advice. Trading involves substantial risk of loss. Past corridor interactions do not guarantee future behavior. Always conduct your own research and risk management.
Penunjuk Pine Script®
oleh AGProLabs
[Gadatas]-Ichimoku CandyBox ZonesThis indicator identifies supply and demand zones based on a custom Ichimoku Kumo structure called the “Candy Box”. A Candy Box forms when a short-lived cloud segment appears between two opposite Senkou Span A/B crossovers and remains structurally valid during its formation. Zones are built from the highest and lowest values of Senkou Span A and B within each cloud segment and are projected forward until price touches them. ⸻ Key Features * Detects compact Ichimoku cloud segments (Candy Boxes) * Differentiates supply (above price) and demand (below price) zones * Two invalidation modes: * Standard (any touch invalidates) * Full Cloud Fill (only full candle crossover invalidates) * Dynamic visibility filter to hide zones far from current price * Zones are preserved internally and reappear when price returns ⸻ Notes * Not all Kumo twists produce valid zones * Designed to highlight clean, untouched imbalance areas * Works best in ranging or transitional market conditions
Penunjuk Pine Script®
oleh gadatas
Pure Order Blocks by ShadowQuant TraderPure Order Blocks This indicator marks four types of order blocks directly from candle structure: Bullish OB Bearish OB Bullish Wick OB Bearish Wick OB A Bullish OB is identified when 3 consecutive candles form a valid bullish imbalance: C1 is the first candle C2 must not break the low of C1 C3 low must remain above the high of C1 If those conditions are satisfied, C1 is marked as a Bullish Order Block. A Bearish OB is identified when 3 consecutive candles form a valid bearish imbalance: B1 is the first candle B2 must not break the high of B1 B3 high must remain below the low of B1 If those conditions are satisfied, B1 is marked as a Bearish Order Block. A Bullish Wick OB is identified when a candle sweeps the prior candle’s low with its wick only: the prior candle must not be an inside bar the wick candle itself must not be an inside bar if any later candle touches the wick high, the Bullish Wick OB becomes invalid A Bearish Wick OB is identified when a candle sweeps the prior candle’s high with its wick only: the prior candle must not be an inside bar the wick candle itself must not be an inside bar if any later candle touches the wick low, the Bearish Wick OB becomes invalid Important logic: Full candle OB has priority over Wick OB on the same candle Inside bars are allowed for full OBs if all full OB rules are satisfied Inside bars are not allowed for Wick OBs OBs remain visible only until price touches them Wick OBs highlight only the wick area, not the full candle This tool is built for traders who want a clean visual way to track untouched order blocks based purely on candle behavior and imbalance structure. The Originator of this Indicator is - ShadowQuant Trader by Finweal Finance Credits to : Prajyot Mahajan.
Penunjuk Pine Script®
oleh ShadowQuantTrader
BAEMFX - Vortex FVG: Deep Mitigation EngineHere is a clear and professional description in English that you can use for the public release on TradingView. It explains the logic simply so that other traders understand the value of the BAEMFX system. Description The BAEMFX - Vortex FVG: Deep Mitigation Engine is a high-precision trading tool designed for Smart Money Concepts (SMC) and Price Action traders. It identifies Fair Value Gaps (FVG) on higher timeframes and projects them onto your current chart to find accurate entry zones. Unlike standard FVG indicators that disappear as soon as they are touched, this engine uses a Dual-Stage Mitigation Logic to provide better visual context for entries. Key Features Multi-Timeframe Analysis: Scan for gaps on H4, Daily, or any higher timeframe and trade them on lower timeframes like M1 or M5 with perfect time-alignment. Dual-Stage Visuals: Entry Trigger (50%): When price reaches the Mean Threshold (50%) of the FVG, the box changes color instantly to signal an active entry zone. Full Mitigation (100%): The box remains on your chart until the gap is completely filled, allowing you to see how price reacts to the zone multiple times. ATR Proximity Filter: Automatically hides gaps that are too far from the current price, keeping your chart clean and focused only on actionable setups. Dynamic Extension: Boxes automatically extend to the right in real-time until they are mitigated, ensuring you never miss a retest. How to Use Set Analysis TF: Choose your higher timeframe (e.g., Daily or 4H) in the settings. Monitor the Zone: Wait for the price to enter the box. The Signal: Once the price touches the dashed midline (50%), the box color deepens. This is your BAEMFX Entry Zone. Exit/Invalidation: The box will delete itself only once the price has traded completely through the FVG (100% fill). Settings Timeframe of Analysis: The HTF you want to scan. Proximity Filter: Multiplier based on ATR to filter out distant gaps. Max FVG Active: Limits the number of displayed boxes to prevent chart clutter.
Penunjuk Pine Script®
oleh baemfx
Multi-Timeframe HTF FVG + MidpointsAn open-source multi-timeframe Fair Value Gap indicator with midpoints and mitigation logic. Detects and displays higher-timeframe FVGs (hourly to daily), draws stable fixed-width gap boxes, and plots midpoint levels with clean labels. Built specifically to solve common MTF rendering issues — FVGs remain persistent and properly aligned across timeframe changes. Features: - Bullish & bearish HTF FVG detection (1H, 2H, 3H, 4H, 1D) - Persistent boxes across timeframe intervals - Midpoint lines and labels - Multi-timeframe structure display - Mitigation tracking - Optional mitigated-zone visibility Notes: • For charting and study purposes only • Not financial advice • Open source by design — modify and adapt as needed
Penunjuk Pine Script®
oleh maggiejohnson
AG Pro Fair Value Gap Engine [AGPro Series]AG Pro Fair Value Gap Engine OVERVIEW / WHAT IT DOES AG Pro Fair Value Gap Engine is a rules-based overlay built to detect 3-bar fair value gap structures and organize them as a living imbalance map on the chart. The script identifies bullish fair value gaps when the current low is above the high from two bars earlier, and bearish fair value gaps when the current high is below the low from two bars earlier. Once detected, each zone is stored, rendered, tracked through time, and updated as price interacts with it. Instead of stopping at basic FVG detection, this script continues to follow the structure after creation. It monitors whether the gap remains active, whether price returns into it, whether mitigation occurs, how old the structure has become, and how strong or weak that mitigation event appears relative to the gap itself. The result is not just a visual list of imbalances. It is an FVG lifecycle model designed to help traders distinguish between fresh gaps, aging gaps, mitigated gaps, and higher-quality mitigation events. UNIQUE EDGE Many fair value gap tools simply highlight every detected gap and leave the user to interpret the rest. This script is built around a different idea: not all FVGs deserve the same attention, and not every mitigation event carries the same informational value. AG Pro Fair Value Gap Engine separates itself by combining detection, aging, prioritization, mitigation tracking, and scoring in a single structured workflow. Gaps are not treated as static rectangles. They are treated as evolving chart objects with a lifecycle. Within the AG Pro Series, this script is also distinct from breakout-quality, reclaim, rotation, pressure, or acceptance-style overlays. Those models focus on trend behavior, reclaim behavior, structural confirmation, momentum pressure, or price acceptance around a reference. This one is centered on imbalance structure itself: where the 3-bar gap formed, how long it stayed relevant, whether price returned, and how credible that mitigation looked once interaction happened. In practical terms, the script is designed to answer questions such as: Which FVGs are still active? Which ones are becoming stale? Which mitigation events happened with better quality? Which visible zones are worth keeping in focus, and which are just legacy context? That is the core difference. This is not a generic FVG highlighter. It is an imbalance-ranking and mitigation-quality engine. METHODOLOGY 1) Detection Logic The script scans for standard 3-bar fair value gap structures. Bullish FVG: current low > high from two bars back Bearish FVG: current high < low from two bars back A minimum size filter relative to ATR is applied so that very small gaps can be ignored when desired. 2) Structure Tracking After detection, each FVG is stored and tracked over time. The script keeps the zone on the chart, extends active zones forward when enabled, and updates their visual state as the market evolves. This allows the chart to preserve the structural memory of imbalance zones instead of treating every new gap as an isolated event. 3) Aging and Visual Decay Older gaps gradually lose visual priority through fade logic. This helps newer or more relevant structures stay readable while old zones move into the background. Optional controls can also suppress distant legacy zones when they become both old and far from current price. 4) Mitigation Logic The script monitors how deeply price returns into each gap. When the user-defined mitigation threshold is reached, the FVG is marked as mitigated. Mitigated zones can remain visible as context or be hidden for a cleaner chart, depending on preference. 5) Quality Scoring Mitigation is not treated as a simple yes/no event. The script evaluates mitigation quality using a weighted model that includes: - Gap size relative to ATR - Speed of return into the zone - Relative volume during the mitigation event - Return strength after contact with the gap This produces a normalized score intended to help separate weaker fills from stronger, better-formed mitigation behavior. 6) Focus and Prioritization To reduce chart noise, the script includes focused labeling, active-zone prioritization, top-zone filtering, and legacy suppression logic. This means the visual output can be tuned away from “show everything” and toward “show what matters most.” SIGNALS & ALERTS This script provides alert conditions for: - Newly detected bullish fair value gaps - Newly detected bearish fair value gaps - Bullish fair value gaps reaching mitigation - Bearish fair value gaps reaching mitigation These alerts are event-based and rules-based. They are not forecasts, predictions, or trade instructions. The labels and panel are designed to summarize state, not to replace the user’s broader market process. KEY INPUTS Core Settings - Minimum FVG Size (ATR) - Mitigation Threshold (%) - Maximum Tracked FVG Count - Age Fade Length - Extend Active FVG Boxes Scoring Engine - Speed Score Reference - Volume Score SMA Length - Volume Score Max Ratio - Size Score Max ATR Visual Settings - Show FVG Labels - Focused Label Mode - Focused Label Minimum Score - Active / Mitigated Label Age Limits - Highlight Score Threshold - Theme Preset - Show Mitigated Zones - Show Mitigated Zone Labels - Label Horizontal Offset - Hide Distant Legacy FVGs - Legacy Hide Age - Legacy Hide Distance - Show Only Top Active Zones - Top Active Zones Count - Label Stack Spacing Panel Settings - Show Panel - Panel Position - Panel Font Size These controls allow the same logic to be used in a more information-dense mode or in a much cleaner presentation mode, depending on the charting style of the user. LIMITATIONS & TRANSPARENCY This script detects and organizes 3-bar imbalance structures. It does not claim to identify every meaningful liquidity event, order-flow shift, or broader smart money context factor on its own. A fair value gap can remain open for a long time, fail quickly, or be revisited multiple times. A high score does not guarantee a directional outcome. A low score does not automatically invalidate the zone as context. The mitigation score is a structured ranking model, not an objective truth about future price behavior. It is designed to help compare events inside the framework of this script. Because chart structure, volatility, timeframe, and instrument behavior vary, users should expect different FVG densities and different score distributions across markets. This tool is best used as a market-organization layer for imbalance analysis, not as a standalone execution system. RISK DISCLOSURE AG Pro Fair Value Gap Engine is an analytical charting tool for educational and informational use. It does not provide financial advice, does not promise outcomes, and should not be interpreted as a standalone buy or sell system. Fair value gaps, mitigation events, and score readings should be evaluated together with market structure, volatility, timeframe context, liquidity conditions, and the user’s own risk framework. Trading involves risk. Past chart behavior does not guarantee future results.
Penunjuk Pine Script®
oleh AGProLabs
2
AG Pro Volume Delta Imbalance Map [AGPro Series]AG Pro Volume Delta Imbalance Map OVERVIEW / WHAT IT DOES AG Pro Volume Delta Imbalance Map is an overlay-style volume pressure tool designed to visualize directional participation asymmetry directly on the price chart. Instead of presenting volume as a standalone histogram or reducing the analysis to a single cumulative line, this script maps estimated directional imbalance into a chart-native structure built around a basis line, a flow spine, and an adaptive ribbon. The result is a cleaner view of whether recent participation is leaning bullish, bearish, or balanced, while keeping the analysis anchored to actual price movement. The script is built for traders who want a more visual interpretation of directional volume pressure without relying on a separate lower-pane oscillator. The main purpose is not to predict tops, bottoms, or reversals in isolation. Its role is to help users read where directional pressure is expanding, where it is fading, and where the current state remains neutral or low-conviction. By placing the analysis directly on the chart, the script aims to make flow conditions easier to compare with market structure, pullbacks, trend continuation attempts, and local regime shifts. A key design objective of this script is practical readability. Many volume-based tools either become too abstract for quick chart work or too visually dense to remain useful during live decision-making. Here, the imbalance model is translated into a compact overlay with a smoothed directional spine, a ribbon that adapts to pressure intensity, optional burst labels, optional zone-start labels, and a summary panel that reports the current state, bias, strength, persistence, label mode, and exhaustion condition. This keeps the output interpretable across multiple markets and timeframes without forcing the user to decode a complicated dashboard. This script should be understood as a directional-volume map, not as a trade automation engine. It is intended to support chart reading, context building, and workflow discipline. It can help highlight when directional participation is broadening, when pressure alignment is improving, or when a previously strong move begins to lose quality. Those observations can then be combined with price structure, support and resistance, volatility context, and the user’s own execution framework. UNIQUE EDGE The main differentiator of this script is that it does not approach volume pressure in the same way as classic cumulative-flow or oscillator-style tools. Traditional cumulative tools such as OBV compress volume behavior into a running line, while money-flow oscillators often frame the analysis around momentum-style expansion and contraction in a lower pane. AG Pro Volume Delta Imbalance Map takes a different route: it transforms estimated directional pressure into an on-chart flow structure that is designed to be read alongside candles, pullbacks, transitions, and continuation attempts. Another differentiating element is the emphasis on flow state rather than raw volume magnitude alone. The script is not simply asking whether volume is high or low. It is asking whether directional participation is leaning to one side strongly enough to create an interpretable imbalance state, whether that pressure is stabilizing or intensifying, and whether that condition is durable enough to remain relevant across several bars. This creates a more structural view of participation rather than a purely reactive one. The visual architecture is also intentionally distinct. The flow ribbon is not only cosmetic. It is designed to express directional pressure breadth around the spine, while the spine itself provides a simpler anchor for the prevailing flow direction. Optional labels then mark either stronger burst moments or the beginning of a new directional zone, depending on user preference. This allows the script to serve different chart-reading styles without changing the core methodology. Finally, transparency matters. This script does not claim to be a true bid/ask footprint, a tape-reading engine, or an exact institutional order-flow detector. It uses an estimated directional-volume proxy derived from price-location and candle-structure behavior. That distinction is important. The objective is to provide a disciplined, readable directional-pressure framework within the constraints of standard chart data, not to imply access to information the script does not use. METHODOLOGY The model begins with a directional-pressure proxy built from three components: close location within the bar, candle body dominance relative to the full range, and directional sign reinforcement from candle structure. These inputs are blended into a bounded hybrid bias value intended to estimate whether recent volume participation was more likely to have leaned bullish or bearish within the bar. That estimate is then scaled by the bar’s volume to produce directional volume estimates and a delta-style imbalance reading. The raw imbalance is normalized using a volume baseline so that the output remains more comparable across changing participation environments. The normalized value is then smoothed to reduce excessive noise and to create a more usable state engine. From there, bullish, bearish, and balanced conditions are determined through explicit thresholds. This means the displayed state is not arbitrary. It is driven by a consistent threshold structure that helps separate neutral conditions from more meaningful directional pressure. The chart overlay is built around three visual elements. First, a basis line offers a stable reference. Second, the flow spine tracks the smoothed imbalance state translated onto price space. Third, an adaptive ribbon expands or contracts around the spine based on imbalance strength, which helps communicate whether directional participation is broadening or losing intensity. Together, these components aim to make flow conditions visible without overwhelming the chart. The script also tracks persistence and a simplified exhaustion heuristic. Persistence reflects how long the current directional state has remained in force, while exhaustion attempts to highlight cases where imbalance remains strong but starts to weaken while price response underperforms. This is not a reversal guarantee. It is a contextual warning that a previously forceful participation state may be losing efficiency. SIGNALS & ALERTS The script can label directional events in two different styles. In Burst Labels mode, labels are reserved for stronger acceleration moments inside an existing directional condition. In Zone Start Labels mode, labels are printed when a new directional zone begins. This distinction matters because some traders prefer confirmation after pressure expansion, while others prefer earlier visual markers at the start of a state change. Bullish and bearish imbalance burst alerts are available for users who want notification when directional pressure expands beyond the relevant threshold. These alerts are best interpreted as flow acceleration events, not standalone entry signals. In practice, many users will prefer to combine them with local structure, pullback quality, reclaim behavior, or continuation context. The script also includes bias reversal alerts and imbalance strength expansion alerts. These are useful for monitoring whether a previously balanced or opposing environment is transitioning into a new directional condition, or whether an already active imbalance is strengthening enough to deserve attention. The summary panel helps reinforce these changes by showing state, bias, strength, persistence, label mode, and exhaustion status in a compact format. A separate exhaustion-risk alert is provided for conditions where the model detects that a strong imbalance may be fading in quality. This should be interpreted as a caution flag, not as a direct call to reverse or exit automatically. In many workflows, it is more useful as a prompt to reassess the context, tighten risk discipline, or watch for weakening continuation quality. KEY INPUTS Normalization Lookback controls the volume baseline used in the imbalance normalization process. Larger values can stabilize the model, while smaller values can make the output more reactive. Imbalance Smoothing influences how quickly the directional state responds to changing pressure. Shorter smoothing reacts faster but may increase noise, while longer smoothing can improve stability at the cost of responsiveness. Map Basis EMA Length affects the visual anchor used for the overlay. ATR Length and Spine ATR Multiplier influence how the spine is translated into price space and how the ribbon behaves around it. Flow Ribbon Width controls the breadth of the visible pressure corridor, while Bull Flow Width Boost allows the bullish side to be widened slightly for visual emphasis when appropriate. Bullish and Bearish Imbalance Thresholds define when the script considers directional pressure strong enough to move out of the balanced state. Burst Threshold determines when the model treats a move as a more meaningful acceleration event. Extreme Threshold contributes to the exhaustion logic and strength classification. Users can also choose whether labels represent burst moments or zone starts, depending on how early or selective they want the chart annotations to be. Visual controls allow users to show or hide the basis line, flow ribbon, spine glow, backdrop, burst labels, exhaustion labels, spine tag, and panel. Panel position, panel theme, text sizing, label sizing, and offset controls are included so that the script can be adapted to different chart layouts and personal reading preferences without changing the underlying methodology. LIMITATIONS & TRANSPARENCY This script uses an estimated directional-volume model. It does not use order-book data, footprint data, bid/ask tape data, or exchange-level aggressor classification. As a result, the displayed imbalance should be understood as a chart-based directional proxy, not as an exact measurement of true traded delta. Because the model relies on price-location and candle-structure inputs, the output can behave differently across instruments with different volatility profiles, gap behavior, liquidity conditions, and session structures. It is normal for a setting that looks well balanced on one asset or timeframe to require refinement on another. Users should expect to tune thresholds and visual parameters when moving between markets. Signals and labels are contextual. A bullish label inside a weak range environment does not carry the same meaning as a bullish label that appears after a reclaim, a pullback stabilization, or a clean continuation structure. Likewise, a bearish label during highly erratic volatility may be less reliable than a similar reading inside a smoother directional sequence. The script is designed to assist interpretation, not to replace it. No single output from this script should be treated as a guaranteed trade trigger, reversal call, or risk-management rule. The panel, ribbon, spine, and labels are tools for reading participation conditions. They are most useful when integrated with broader chart context, including trend structure, invalidation logic, nearby levels, liquidity conditions, and the user’s own process. RISK DISCLOSURE This script is for chart analysis and educational use. It does not provide financial advice, portfolio advice, or guaranteed trade outcomes. All trading and investing involve risk, including the risk of loss. Past market behavior and prior indicator responses do not guarantee future results. Users remain fully responsible for how they interpret and apply the script. Any signal, label, or state reading should be evaluated within a complete decision process that includes market context, risk definition, and position management. This script should not be used as the sole basis for entering, exiting, or sizing a trade. If you use this tool in live market conditions, it is sensible to test it across different assets and timeframes and to confirm that its behavior matches your own execution logic before relying on it in a real-money workflow.
Penunjuk Pine Script®
oleh AGProLabs
1
Sovereign Execution [JOAT]Sovereign Execution Introduction Sovereign Execution is an open-source multi-layer trading strategy that synthesizes five independent analytical engines into a unified execution framework. Rather than relying on a single indicator or a simple crossover, this strategy requires alignment across regime classification, momentum displacement, session timing, imbalance confluence, and multi-timeframe bias scoring before any trade is taken. The result is a highly selective system that filters out low-conviction setups and only enters when multiple independent analytical dimensions agree. The strategy uses ATR-based adaptive stop-losses, configurable risk-reward ratio targets, optional trailing stops, and multiple exit conditions including regime flips and opposite displacement detection. It is designed for traders who want a systematic, rules-based approach to execution with full transparency into every decision the system makes. Why This Strategy Exists Most trading strategies suffer from one of two problems: they are either too simple (single-indicator entries that generate excessive noise) or too complex (dozens of conditions that are impossible to understand or debug). Sovereign Execution occupies the middle ground by using exactly five analytical layers, each addressing a different aspect of market conditions: Regime Cipher: Is the market trending or compressing? Only trade in trending regimes. Displacement Lens: Is there institutional momentum right now? Only enter on confirmed displacement. Session Filter: Is the market in an active trading session? Avoid low-liquidity periods. Imbalance Confluence: Is there a Fair Value Gap nearby? Optional confirmation of institutional interest. Confluence Ledger: Do multiple timeframes agree on direction? Only trade when the score exceeds the threshold. Each layer acts as an independent filter. A trade only fires when ALL active filters align simultaneously. This multi-gate approach dramatically reduces false signals compared to single-indicator strategies. Module 1: Regime Cipher — Trend and Volatility Classification The regime engine uses an Outlier-Resistant Moving Average (ORMA) as its foundation. The ORMA applies a square-root transformation to price, calculates a base moving average (configurable: EMA, SMA, RMA, WMA, HMA, DEMA, or TEMA), then applies a volatility-dampening filter using the ratio of full ATR to half-period ATR. This creates a moving average that is responsive to genuine trend changes but resistant to outlier spikes. ATR-based bands are drawn above and below the ORMA. When price closes above the upper band, the regime is classified as Trending Bull. When price closes below the lower band, Trending Bear. The strategy also monitors Bollinger Band width relative to its 50-bar average to detect compression (BB width below 85% of average) and expansion (above 110%). The key rule: the strategy only takes trades when the regime is Trending (not Compressed or Transitional). This single filter eliminates the majority of choppy, range-bound conditions where most strategies bleed money. Module 2: Displacement Lens — Momentum Timing The displacement engine normalizes three momentum oscillators (Bollinger %B, CCI, ROC) to a scale and blends them with a volume-weighted candle body analysis. The composite is smoothed with an EMA and compared against adaptive threshold bands calculated from the signal's own standard deviation. A "strong bull displacement" occurs when the composite exceeds the upper threshold — meaning momentum, volume, and candle structure all confirm bullish institutional activity. Strong bear displacement is the mirror condition. The strategy only enters when displacement confirms the regime direction. Module 3: Session Filter Trading sessions are defined by UTC hour ranges (configurable for Asia, London, and New York). When the session filter is enabled (default), the strategy only takes trades during active sessions. This avoids entries during low-liquidity periods (overnight gaps, holiday hours) where spreads widen and price action is unreliable. The session filter is optional — it can be disabled for instruments that trade 24/7 with consistent liquidity (e.g., major crypto pairs). Module 4: FVG Confluence (Optional) When enabled, the strategy scans the last 10 bars for Fair Value Gaps in the entry direction. A bullish FVG (gap up in price delivery) near the entry confirms institutional buying interest. A bearish FVG confirms selling interest. This filter is optional (default off) because not all valid setups occur near FVGs, but when enabled, it adds an additional layer of institutional confirmation. Module 5: Confluence Score — Multi-Timeframe Bias Gate The strategy calculates a simplified confluence score combining trend alignment, momentum, volatility state, market structure, and volume conviction on the current timeframe, then blends it with a higher timeframe score (default 4H) at a 40/60 weighting (HTF gets more weight). The score is mapped to 0-100. Long entries require the score to exceed the long threshold (default 60). Short entries require the score to be below the short threshold (default 40). This ensures the strategy only trades when multiple analytical dimensions across timeframes agree on direction. Entry Conditions A long entry requires ALL of the following simultaneously: Regime is Trending Bull (price above upper ORMA band, not compressing) Confluence score >= long threshold (default 60) Strong bullish displacement (composite above adaptive threshold) Active session (if session filter enabled) Recent bullish FVG (if FVG filter enabled) Bar is confirmed (barstate.isconfirmed — no intrabar entries) Short entries require the bearish mirror of all conditions. Edge detection ensures each signal fires only once — no repeated entries on the same setup. Risk Management Stop-Loss: ATR-based adaptive stop calculated as ATR(14) multiplied by the stop multiplier (default 1.5). For longs, the stop is placed below the entry price by this distance. For shorts, above. This means the stop automatically adapts to the instrument's current volatility — wider stops in volatile markets, tighter stops in calm markets. Take-Profit: Calculated as the stop distance multiplied by the reward-risk ratio (default 2.0). A 1.5 ATR stop with a 2.0 R:R produces a 3.0 ATR take-profit target. Trailing Stop: When enabled (default), the stop is trailed upward (for longs) or downward (for shorts) using the trail ATR multiplier (default 2.0). The trail only moves in the favorable direction — it never moves against the position. Exit Conditions Beyond the TP/SL levels, the strategy has two additional exit conditions: Regime Flip: If the regime changes from Trending Bull to Trending Bear (or vice versa), or enters Compression, the position is closed immediately. The thesis for the trade no longer holds. Opposite Displacement: If strong displacement fires in the opposite direction of the trade, the position is closed. Institutional momentum has shifted against the position. Default Strategy Properties These are the exact values used in the strategy's Properties dialog: Initial Capital: $100,000 — a realistic account size for the average trader Default Quantity: 5% of equity per trade — conservative position sizing Commission: 0.04% per trade (round-trip 0.08%) — realistic for most exchanges Slippage: 2 ticks per order — accounts for execution delay and spread Pyramiding: 0 — only one position at a time Calc on Every Tick: false — entries only on bar close for realistic execution These settings are intentionally conservative. The commission and slippage values are included to produce realistic backtesting results. Traders should adjust these values to match their specific broker/exchange conditions. Visualization Regime MA: The ORMA line plotted with a glow effect (crisp line + transparent wider line) colored by trend state — teal for bullish, rose for bearish, gray for neutral ATR Bands: Upper and lower bands showing the regime breakout thresholds SL/TP Levels: When a position is active, the stop-loss (red), take-profit (green), and entry price (gray) are plotted as horizontal lines Gradient Candles: Candles colored by the confluence score — transitioning from bearish rose (low score) to bullish teal (high score) Session Background: Subtle amber tint when an active session is in progress 10-Row Dashboard Row 1: Header — "SOVEREIGN EXECUTION" Row 2: Regime — TREND LONG / TREND SHORT / COMPRESSED / TRANSITIONAL Row 3: Displacement — BULL DISP / BEAR DISP / NEUTRAL Row 4: Session — ASIA / LONDON / NEW YORK / OFF-SESSION Row 5: Confluence — Score value + bias classification Row 6: Volatility — EXPANDING / COMPRESSED / NORMAL Row 7: Position — LONG / SHORT / FLAT Row 8: Entry — Entry price when in a trade Row 9: Stop — Current stop-loss level Row 10: Target — Current take-profit level Input Parameters Execution Parameters: Risk Per Trade % (default 1.5) — percentage of equity risked per trade Reward:Risk Ratio (default 2.0) — take-profit as multiple of stop distance ATR Stop Multiplier (default 1.5) — stop distance as ATR multiple Use Trailing Stop (default on), Trail ATR Multiplier (default 2.0) Entry Filters: Confluence Threshold Long (default 60) — minimum score for long entries Confluence Threshold Short (default 40) — maximum score for short entries Require Active Session (default on) Require FVG Confluence (default off) Regime Cipher Parameters: Adaptive MA Length (default 27), ATR Length (default 14), ATR Factor (default 1.05) Base MA type (default EMA, options: RMA/SMA/EMA/WMA/HMA/DEMA/TEMA) Displacement Parameters: BB Length (20), BB Multiplier (2.0), CCI Length (23), ROC Length (50) Displacement Smoothing (default 5) Session Filter (UTC): Asia Start/End (0/8), London Start/End (8/14), NY Start/End (14/21) Strategy Limitations and Compromises Every strategy involves design compromises. Here are the key ones for Sovereign Execution: Selectivity vs Frequency: The multi-gate filter approach produces fewer trades than single-indicator strategies. On some instruments/timeframes, the strategy may go days without a signal. This is by design — it prioritizes quality over quantity — but it means the strategy needs sufficient historical data to produce a meaningful sample size. Regime Lag: The ORMA-based regime classification has inherent lag. It will not catch the exact top or bottom of a trend. The strategy enters after the trend is confirmed, which means it misses the first portion of moves. Session Filter Limitation: The UTC-based session filter works well for forex and indices but may need adjustment for instruments with non-standard trading hours. Crypto traders may want to disable the session filter entirely. Single Timeframe Execution: While the confluence score incorporates HTF data, entries and exits are executed on the chart's timeframe. Very fast timeframes (1m) may produce noisy signals despite the filters. Backtesting Caveats: All backtesting results are historical and do not guarantee future performance. The strategy uses calc_on_every_tick=false and barstate.isconfirmed to produce realistic entries, but real-world execution will always differ from backtesting due to slippage, partial fills, and latency. No Guarantee of Profitability: This strategy is a systematic framework, not a profit guarantee. Market conditions change, and strategies that worked historically may underperform in different regimes. Recommended Usage Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for most reliable signals Test on the 15m to 4H timeframe range — these provide enough bars for the regime and displacement engines while maintaining meaningful session context Ensure the backtest produces at least 100 trades for statistical significance before drawing conclusions Adjust commission and slippage to match your specific broker/exchange Consider the strategy as one component of a broader trading plan, not a standalone system Originality Statement This strategy is original in its multi-layer filter architecture. While individual components (moving averages, momentum oscillators, session filters) are established concepts, this strategy is justified because: It synthesizes five independent analytical engines (regime classification, displacement measurement, session timing, imbalance confluence, multi-TF scoring) into a unified execution framework where ALL must align for entry The ORMA-based regime engine uses a volatility-dampened, outlier-resistant moving average with ATR bands — not a standard MA crossover The displacement engine normalizes three oscillators and blends them with volume-weighted candle body analysis for institutional-grade momentum confirmation The confluence score combines five analytical dimensions with HTF weighting, producing a quantitative bias gate rather than a subjective assessment Multiple exit conditions (regime flip, opposite displacement, trailing stop, TP/SL) provide layered risk management beyond simple stop-loss The strategy uses realistic default settings (commission, slippage, position sizing) and documents all Properties values for transparent backtesting Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Backtesting results shown are historical and do not guarantee future performance. The results of a single backtest run do not constitute proof that the strategy will be profitable in the future. Market conditions change, and strategies that performed well historically may underperform or lose money in different market environments. The default settings (commission 0.04%, slippage 2 ticks, 5% equity per trade, $100,000 initial capital) are designed to produce realistic results. Users should verify these match their trading conditions and adjust accordingly. Always use proper risk management. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this strategy. -Made with passion by officialjackofalltrades
Strategi Pine Script®
oleh officialjackofalltrades
Imbalance Cartograph [JOAT]Imbalance Cartograph Introduction The Imbalance Cartograph is an advanced open-source price imbalance mapping engine that identifies, tracks, and manages Fair Value Gaps (FVGs) and Supply/Demand zones across multiple layers. It goes far beyond basic FVG detection by adding auto-mitigation, volume filtering, transparency fade for aging zones, stacked imbalance detection, confluence highlighting, nearest zone radar, imbalance density scoring, and a comprehensive 15-row dashboard. Every zone is non-repainting and drawn only on confirmed bars. The core idea is simple but powerful: institutional order flow creates imbalances in price delivery. These imbalances — gaps where price moved too fast for the market to fill, and zones where large orders were placed — act as magnets that price tends to revisit. By mapping all active imbalances and tracking their lifecycle, traders can identify high-probability areas where institutional interest exists. Why This Indicator Exists Fair Value Gaps and Supply/Demand zones are among the most discussed concepts in Smart Money methodology, yet most indicators that detect them are simplistic: they draw a box when a gap forms and leave it there indefinitely, with no lifecycle management, no volume confirmation, and no way to assess how many imbalances are clustered near current price. The Imbalance Cartograph solves these problems by treating imbalances as living entities with a full lifecycle: Creation: FVGs are detected using the standard three-candle gap pattern, but filtered by volume (only gaps formed on above-average volume qualify by default). Supply/Demand zones are created at swing pivots using configurable pivot lengths. Aging: Older zones progressively fade in transparency, giving visual priority to fresh zones while keeping historical context visible. Testing: When price returns to a zone, it transitions from "fresh" to "tested" with a color change, indicating the zone has been challenged but not broken. Mitigation: FVGs are automatically deleted when price fills the gap completely. Supply zones broken by price can convert to breaker blocks (polarity flip). Confluence: When an FVG overlaps with a Supply/Demand zone, the overlap area is highlighted as a high-probability confluence zone. Layer 1: Fair Value Gaps FVGs represent gaps in price delivery where the market moved so aggressively that it left unfilled space between candles. The indicator detects both bullish and bearish FVGs: Bullish FVG: Current candle's low is above the candle-two-bars-ago's high, and the middle candle closed above that high. This creates an upward gap in price delivery. Bearish FVG: Current candle's high is below the candle-two-bars-ago's low, and the middle candle closed below that low. This creates a downward gap. Each FVG is drawn as a colored box extending forward (default 50 bars) with optional price labels showing the exact gap range. Volume Filter: When enabled (default), FVGs only qualify if the middle candle's volume exceeds the 20-bar average. This filters out low-conviction gaps that are less likely to act as institutional reference points. Auto-Mitigation: When enabled (default), FVGs are automatically deleted when price fills the gap. For bullish FVGs, this means price's low touches the top of the gap. For bearish FVGs, price's high reaches the bottom. The indicator tracks mitigation counts for the dashboard. Stacked Imbalance Detection: When two or more consecutive FVGs form in the same direction, the indicator marks them as "STACKED" with a count. Stacked FVGs indicate sustained institutional pressure — the market is creating gap after gap in the same direction, which is a strong directional signal. Layer 2: Supply and Demand Zones Supply and Demand zones are created at swing pivot points detected using ta.pivothigh() and ta.pivotlow() with a configurable pivot length (default 10 bars). Supply Zones: Created at swing highs. The zone extends from the swing high candle's high down to the candle body (max of open, close). These represent areas where selling pressure overwhelmed buying. Demand Zones: Created at swing lows. The zone extends from the swing low candle's low up to the candle body (min of open, close). These represent areas where buying pressure overwhelmed selling. Zone Lifecycle: Fresh: Newly created zone, bright color, never tested Tested: Price has returned to the zone but not broken through. Color shifts to indicate the zone has been challenged. Broken/Breaker: When price breaks through a zone completely, it can optionally convert to a "breaker block" — the zone flips polarity (old supply becomes potential demand, and vice versa). This is a key Smart Money concept. Overlap Prevention: New zones are checked against existing zones using an ATR-based threshold. If a new zone would overlap with an existing one, it is not drawn, keeping the chart clean. BOS Lines: When price breaks through a supply or demand zone, a Break of Structure (BOS) line is drawn at the broken level, marking the structural shift. Transparency Fade: When enabled, older zones gradually become more transparent based on their age in bars. This creates a natural visual hierarchy where fresh zones stand out and old zones fade into the background. Advanced Features Imbalance Confluence Detection: The indicator checks whether any active FVG overlaps with any active Supply/Demand zone. When they overlap, the confluence area is highlighted with a gold-colored marker. These confluence zones represent areas where two independent institutional concepts agree — a gap in price delivery coincides with a structural supply or demand level. These are among the highest-probability zones on any chart. Nearest Zone Radar: The indicator continuously calculates the distance from current price to the nearest active zone (supply or demand). The dashboard displays the zone type, distance in ATR multiples, and direction. This gives traders an instant read on how close they are to the next potential reaction area. Imbalance Density: The indicator counts how many active FVGs and S/D zones exist within 3 ATR of current price and produces a density score (0-10). High density means price is surrounded by multiple imbalances — a "thick" area where reactions are likely. Low density means price is in "clean" territory with fewer institutional reference points. 15-Row Dashboard Rows 1-2: Bull FVG and Bear FVG counts with stacked status Rows 3-4: Supply and Demand zone counts with lifecycle state (Fresh/Tested) Row 5: Breaker block count Row 6: FVG fill rate (percentage of FVGs that have been mitigated) Row 7: Nearest zone type, distance, and direction Row 8: Imbalance density score and classification Row 9: Confluence detection status (active/none) Row 10: Stacked imbalance status Row 11: Zone age (average bars since creation for active zones) Row 12: Supply retest count and demand retest count Row 13: Market bias based on imbalance distribution (more bull FVGs + demand = bullish) Rows 14-15: Total FVG and zone statistics Input Parameters Fair Value Gaps: Show FVGs (default on), FVG Extend bars (default 50), Max FVGs Displayed (default 15) Auto-Mitigate FVGs (default on) — delete when price fills the gap Volume Filter (default on) — only show FVGs with above-average volume Supply / Demand Zones: Show Zones (default on), Pivot Length (default 10), Max Zones (default 15) Show BOS Lines (default on), Convert to Breaker (default on) Fade Old Zones (default on) — transparency increases with age Advanced Features: Show Confluence Zones (default on), Show Stacked Imbalances (default on) Show Price Labels on Zones (default on) How to Use This Indicator Step 1: Identify Active Imbalances Look at the chart for active FVG boxes and S/D zones. Fresh zones (brighter colors) are more likely to produce reactions than tested or faded zones. Step 2: Check Imbalance Density The dashboard's density score tells you whether price is in a zone-rich or zone-poor area. High density (7+) means multiple imbalances are nearby — expect reactions. Low density (0-2) means price is in clean delivery territory. Step 3: Watch for Confluence When the dashboard shows "CONFLUENCE ACTIVE," an FVG overlaps with a S/D zone. These are the highest-probability reaction areas. Consider these zones for entries with tight stops. Step 4: Monitor Stacked FVGs Stacked FVGs (2+ consecutive gaps in the same direction) indicate strong institutional pressure. The market is not pausing to fill gaps — it is aggressively displacing price. Trade in the direction of stacked FVGs. Step 5: Use Nearest Zone for Targets The nearest zone radar tells you how far price is from the next potential reaction. Use this for setting take-profit targets or anticipating where price may stall. Step 6: Track Mitigation Rate The FVG fill rate shows what percentage of gaps have been filled. A high fill rate suggests the market is efficiently filling imbalances (range-bound behavior). A low fill rate suggests strong trending where gaps are being left behind. Limitations FVG detection uses a standard three-candle pattern. Not all gaps are created by institutional activity — news events and low-liquidity periods can create gaps that lack institutional significance. Supply/Demand zones are based on swing pivots, which require a lookback period. The pivot length parameter significantly affects zone placement — shorter lengths create more zones, longer lengths create fewer but more significant zones. Auto-mitigation deletes FVGs when price touches the gap boundary. In some cases, price may wick into a gap without truly filling it. The indicator treats any touch as mitigation. Volume filtering uses the 20-bar volume average. On instruments with irregular volume patterns (e.g., crypto on weekends), this filter may be too aggressive or too lenient. The indicator draws on confirmed bars only (barstate.isconfirmed), so zones appear one bar after the pattern completes. This is intentional to prevent repainting. Imbalance zones show where institutional interest existed historically. They do not guarantee future price reactions. Originality Statement This indicator is original in its comprehensive lifecycle approach to imbalance mapping. While FVG detection and S/D zones exist in other scripts, this indicator is justified because: It treats imbalances as entities with a full lifecycle (creation, aging, testing, mitigation, breaker conversion) rather than static drawings The volume filter ensures only institutionally-significant FVGs are displayed, reducing noise from low-conviction gaps Transparency fade creates a natural visual hierarchy that no static-color indicator provides Stacked imbalance detection identifies consecutive FVGs as a measure of institutional pressure — a concept not available in standard FVG indicators Confluence detection between FVGs and S/D zones creates a cross-layer analysis that identifies the highest-probability reaction areas Nearest zone radar and imbalance density scoring provide quantitative measures of the imbalance environment around current price The combination of FVG lifecycle management, S/D zone tracking with breaker conversion, confluence detection, density scoring, and a comprehensive dashboard creates a unified imbalance analysis system not available in any single existing indicator Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Price imbalances are historical observations about where gaps and zones formed. They do not predict future price movement. While price often revisits imbalances, there is no guarantee that any specific FVG will be filled or that any S/D zone will produce a reaction. Always use proper risk management. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
Displacement Lens [JOAT]Displacement Lens Introduction The Displacement Lens is an advanced open-source momentum analysis indicator that measures real-time displacement intensity by fusing four normalized momentum oscillators with volume-weighted candle body analysis. It produces a composite displacement score displayed as a gradient histogram with adaptive threshold bands, designed to separate institutional displacement candles from retail noise. This is not a simple oscillator mashup — it is a unified displacement measurement engine with institutional-grade features built on top of the core signal. The indicator operates in its own pane (non-overlay) and provides traders with a clear, visual representation of when price is being displaced by institutional force versus when it is drifting on low-conviction retail flow. Why This Indicator Exists Standard momentum oscillators like RSI, CCI, or Bollinger %B each capture only one dimension of market momentum. Traders often flip between multiple oscillators trying to get a complete picture. The Displacement Lens solves this by: Normalizing four independent oscillators (BB %B, CCI, ROC, RSI) to a common scale so they can be meaningfully combined Weighting the composite by volume intensity and candle body ratio — because a large-bodied candle on high volume is institutional displacement, while a small-bodied candle on low volume is noise Adding adaptive threshold bands that adjust to the signal's own volatility, rather than using fixed overbought/oversold levels that fail in different market conditions Layering institutional features on top: decay detection, accumulation phases, divergence scanning, exhaustion markers, and a per-bar institutional candle grade The result is a single composite signal that tells you not just "is momentum bullish or bearish" but "how strong is the institutional displacement right now, and is it accelerating, decaying, or exhausting?" Core Signal Construction The displacement signal is built in three stages: Stage 1: Oscillator Normalization Each of the four oscillators is normalized to a range using methods appropriate to each: Bollinger %B: Measures where price sits within the Bollinger Bands. The raw %B (0 to 1) is remapped to with a soft clamp. When price is above the upper band, the score approaches +1. Below the lower band, it approaches -1. CCI: The Commodity Channel Index is divided by 200 and clamped. CCI values beyond +/-200 saturate at +/-1, while values near zero produce scores near zero. ROC: Rate of Change is normalized using adaptive scaling — it divides by twice its own standard deviation over 50 bars. This means the normalization adapts to the instrument's typical momentum range. RSI: Remapped from the standard 0-100 range to by subtracting 50 and dividing by 50. RSI 70 becomes +0.4, RSI 30 becomes -0.4. Each oscillator can be individually toggled on or off, and the composite averages only the active ones. Stage 2: Volume-Weighted Displacement The oscillator composite is blended with a volume displacement component: float vol_displacement = disp_direction * body_ratio * vol_intensity float raw_signal = osc_composite * (1.0 - vol_weight) + vol_displacement * vol_weight Where: disp_direction is +1 for bullish candles, -1 for bearish body_ratio is the candle body size divided by the full range (high-low) — institutional candles have ratios above 0.7 vol_intensity is current volume relative to the 20-bar average, clamped to vol_weight (default 0.3) controls how much volume influences the final score This means a strong oscillator reading on a small-bodied, low-volume candle gets dampened, while a moderate oscillator reading on a large-bodied, high-volume candle gets amplified. Stage 3: Smoothing and Thresholds The raw signal is smoothed with an EMA (default period 5), and adaptive threshold bands are calculated as the signal's own standard deviation multiplied by a configurable factor (default 1.5x over 100 bars). This creates bands that widen in volatile markets and tighten in calm markets — far more reliable than fixed thresholds. Institutional Features 1. Displacement Impulse Signals When the signal crosses above the upper threshold for the first time (with volume and body confirmation), a bullish impulse label appears. Similarly for bearish. These mark the exact moment institutional displacement begins — not after it has already played out. 2. Momentum Divergence Engine The indicator detects four types of divergence between price pivots and signal pivots: Regular Bearish: Price makes a higher high, but the displacement signal makes a lower high — momentum is weakening despite price advance Regular Bullish: Price makes a lower low, but the signal makes a higher low — selling pressure is fading Hidden Bearish: Price makes a lower high, but the signal makes a higher high — continuation of downtrend likely Hidden Bullish: Price makes a higher low, but the signal makes a lower low — continuation of uptrend likely Divergences are detected using configurable pivot lengths and drawn as labeled markers directly on the histogram. 3. Displacement Decay Zones When the signal was above the upper threshold but starts declining (still positive, but fading), the indicator marks a "decay zone" — a dotted box on the histogram showing where institutional momentum is waning. This is a unique concept: it identifies the transition from impulse to drift before the signal crosses zero. Bear decay zones work identically on the downside. 4. Accumulation Phase Detector When both the signal and signal line are near zero (below half the standard deviation) for a minimum number of bars, the indicator draws a dashed "accumulation" box. These low-displacement consolidation phases often precede the next major impulse move. The concept is borrowed from Wyckoff methodology but applied to displacement scoring rather than price. 5. Institutional Candle Grading Every bar receives a grade from D to A+ based on three factors: Body ratio (how much of the candle is body vs wick) — 33.3% weight Volume intensity (current volume vs 20-bar average) — 33.3% weight Displacement alignment (how far the signal is from the threshold) — 33.4% weight A+ candles (score >= 80) with body ratio > 0.7 and volume > 1.5x average are flagged as true institutional candles. The grade is shown in the dashboard. 6. Velocity Channel The rate of change of the displacement signal itself is plotted as a velocity line with standard deviation bands. When velocity is expanding (accelerating), the displacement move has conviction. When velocity contracts, the move is losing steam. Optional glow effects make the velocity channel visually distinct. 7. Exhaustion Detection Bullish exhaustion fires when the signal was above the threshold for 3 consecutive bars and then declines for 3 consecutive bars. Bearish exhaustion is the mirror. These are rare, high-conviction reversal signals that mark the exact point where institutional displacement has peaked and is reversing. 8. HTF Displacement Bias The indicator calculates the same displacement composite on a higher timeframe (default 4H) using request.security(). When the current timeframe signal aligns with the HTF bias, conviction is higher. The dashboard shows whether HTF is BULLISH, BEARISH, or NEUTRAL and whether it is aligned with the current signal. 9. Displacement Streak Counter Tracks how many consecutive bars the signal has been above the upper threshold (bull streak) or below the lower threshold (bear streak). Longer streaks indicate sustained institutional pressure. Visual Elements Gradient Histogram: The main displacement signal plotted as columns with gradient coloring — bullish bars transition from muted teal to bright teal as strength increases, bearish bars from muted rose to hot rose. Volume spike bars are highlighted in amber. Signal Line: A further-smoothed version of the signal (3x the smoothing period) plotted as a bright lavender line. Crossovers between the signal and signal line generate diamond markers. Adaptive Threshold Bands: Upper and lower threshold lines that expand and contract with signal volatility. Decay Zones: Dotted boxes marking fading institutional momentum. Accumulation Zones: Dashed boxes marking low-displacement consolidation. Velocity Channel: Rate-of-change line with glow bands showing displacement acceleration. 15-Row Dashboard: Comprehensive command center showing Signal value, Phase classification, Candle Grade, HTF Bias, Streak, Velocity, Divergence status, and more. Input Parameters Oscillator Components: BB Length (default 20), BB Multiplier (default 2.0) CCI Length (default 23), ROC Length (default 50), RSI Length (default 14) Individual toggles for each oscillator Displacement Engine: Signal Smoothing (default 5) — EMA period for the final signal Volume Weight (default 0.3) — how much volume influences the score Threshold Lookback (default 100) — period for adaptive threshold calculation Threshold Multiplier (default 1.5) — sensitivity of threshold bands Institutional Features: Toggles for Impulse Signals, Divergences, Decay Zones, Accumulation Phases, Signal Crossovers, Velocity Channel, Exhaustion Markers, HTF Bias HTF Timeframe (default 240 / 4H) Accumulation Min Bars (default 8), Decay Min Bars (default 5) Max Boxes (default 30), Divergence Pivot Length (default 5) How to Use This Indicator Step 1: Read the Phase The dashboard shows the current displacement phase: IMPULSE BULL, IMPULSE BEAR, DRIFT BULL, DRIFT BEAR, DECAY, ACCUMULATION, or FLAT. This tells you the market's current displacement state at a glance. Step 2: Watch for Impulse Signals When the signal crosses the threshold with volume confirmation, an impulse label appears. These are the highest-conviction displacement events — institutional money is moving price. Step 3: Monitor Decay and Exhaustion After an impulse, watch for decay zones forming. If the signal was strong and starts declining, the move is losing institutional backing. Exhaustion markers confirm the reversal point. Step 4: Confirm with HTF Bias Check whether the HTF displacement aligns with the current timeframe. Aligned signals have higher follow-through probability. Step 5: Use Divergences for Reversals Regular divergences warn of potential reversals. Hidden divergences confirm trend continuation. Both are detected automatically. Step 6: Identify Accumulation for Breakout Setups When the indicator marks an accumulation phase (low displacement for extended bars), prepare for the next impulse. The breakout direction is often confirmed by the first impulse signal after accumulation ends. Limitations The indicator measures displacement intensity, not price direction prediction. Strong displacement can occur in both breakouts and fakeouts. Volume data quality varies by instrument and exchange. Forex volume on TradingView represents tick volume, not true volume. HTF bias uses request.security() which may produce different results on different chart types. Divergence detection requires sufficient pivot history — it will not fire on the first few hundred bars of a chart. Exhaustion signals are intentionally rare (require 3 bars above threshold + 3 bars declining). They may not fire in fast-moving markets. The indicator works best on liquid instruments with consistent volume patterns. Past displacement patterns do not guarantee future price movement. Originality Statement This indicator is original in its unified displacement measurement approach. While individual oscillators (BB %B, CCI, ROC, RSI) are well-known, this indicator is justified because: It normalizes four oscillators to a common scale using methods appropriate to each (adaptive scaling for ROC, division-based for CCI, remapping for RSI and BB %B) — not simply averaging raw values The volume-weighted displacement component integrates candle body analysis with volume intensity, creating a measure that distinguishes institutional candles from retail noise Adaptive threshold bands based on the signal's own standard deviation replace unreliable fixed thresholds The Displacement Decay Zone concept — identifying the transition from impulse to drift before the signal crosses zero — is not available in standard oscillators The Accumulation Phase Detector applies Wyckoff-inspired consolidation detection to a composite momentum score rather than price The Institutional Candle Grading system scores every bar on three dimensions simultaneously (body, volume, displacement alignment) The Velocity Channel measures the rate of change of displacement itself — a second derivative that reveals acceleration and deceleration of institutional activity The combination of all these features with a comprehensive dashboard creates a unified displacement analysis system not available in any single existing indicator Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. The displacement signal measures momentum intensity based on mathematical calculations of current and historical market data. It does not predict future price movement. High displacement does not guarantee profitable trades. Past displacement patterns do not guarantee future patterns. Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions. -Made with passion by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades
AG Pro MFI Flow Imbalance [AGPro Series]AG Pro MFI Flow Imbalance Overview AG Pro MFI Flow Imbalance is a directional money-flow study built to evaluate whether buying pressure and selling pressure are developing in a balanced way or becoming meaningfully one-sided. Instead of using the classical Money Flow Index as a simple overbought/oversold gauge, this script reframes money flow as an imbalance problem. The objective is not to predict future price with certainty, and it is not presented as a standalone trading system. Its role is to help traders inspect how strongly flow is leaning to one side, how persistent that imbalance has become, and whether the condition is expanding, stabilizing, fading, or returning toward balance. This publication is designed around a very specific analytical question: is money flow distributed relatively evenly between both sides, or is participation clustering in a way that suggests directional dominance? That is the core problem the script is trying to organize visually. In practical terms, the script separates positive and negative money flow, normalizes the relationship between them, smooths the result for readability, and then classifies the current state using threshold bands, persistence logic, event labels, and a compact summary panel. The result is a tool focused on flow asymmetry rather than on generic oscillator levels. This distinction is important because many money-flow and volume-based studies are ultimately used as broad momentum proxies. That is not the purpose here. AG Pro MFI Flow Imbalance is built to track directional imbalance itself. The central read is not simply “high” or “low”; the central read is whether flow is bullish or bearish, whether that condition is weak or strong, whether it is becoming more one-sided or less one-sided, and whether the move is persistent enough to deserve more attention. Within the AG Pro catalog, this script is intentionally solving a different problem than the other tools. It is not a break-and-retest study, not a reclaim tool, not a trendline or structure-mapping script, not a trend-quality score, not a session-based framework, not a cumulative OBV-style divergence tool, and not an RSI pressure oscillator. Those tools ask different questions. This script focuses on directional flow asymmetry: how unevenly money flow is being allocated between bullish and bearish participation over a rolling window. That difference is deliberate and central to the design. What the script does The script computes a directional money-flow relationship using typical price and volume, then compares positive flow and negative flow over a configurable lookback. That relationship is converted into a normalized imbalance score. A smoothed score line is then used to reduce noise and improve interpretability. The study also tracks whether the current imbalance is inside a neutral band, above a strong threshold, or in an extreme zone. It further evaluates persistence, meaning whether the imbalance has remained outside the neutral band for enough bars to be treated as more than a brief fluctuation. The visual structure is built around several coordinated layers: - a histogram that shows directional imbalance strength, - a signal line for smoother state tracking, - an optional raw score for users who want to inspect unsmoothed swings, - threshold zones that separate neutral, strong, and extreme conditions, - a subtle directional tint to keep the pane readable at a glance, - optional event labels for selected state changes, - and a compact panel summarizing state, bias, imbalance, strength, persistence, flow mode, MFI regime, and threshold status. The script also includes alert conditions for directional starts, strong-threshold transitions, extreme imbalance events, fading conditions, and balance restoration. These events are not promises of future performance. They are structured notifications describing the current state of the internal flow model. Unique edge The unique edge of this script is not that it “improves” MFI by making stronger claims. Its edge is conceptual. Classical MFI is often read primarily as an overbought/oversold oscillator. AG Pro MFI Flow Imbalance uses MFI-related inputs as a flow framework, but the main output is a directional asymmetry engine. The question is not “is MFI high or low?” The question is “how skewed is money flow, how persistent is that skew, and is the current skew expanding or fading?” That is why the classical MFI layer is treated as secondary context rather than as the primary engine. In this script, the MFI regime is an auxiliary read that can support or fail to support the main imbalance state. The main analytical product remains the normalized imbalance score and the way that score behaves through time. How this differs from other AG Pro scripts This point deserves to be explicit. AG Pro MFI Flow Imbalance is not a structure script. It does not map swing highs, swing lows, break points, reclaim levels, retest quality, support-resistance interaction, or breakout geometry. Users looking for structural confirmation should not expect this tool to replace scripts built for structural analysis. It is not a cumulative pressure-divergence script. It does not frame the market through OBV-style accumulation paths or through price-versus-cumulative-volume disagreement. Its emphasis is current directional flow imbalance over a rolling window, not cumulative divergence logic. It is not an RSI pressure tool. It does not try to express internal price pressure through RSI-derived compression or momentum-pressure logic. The model here is flow allocation, not RSI pressure mapping. It is not a trend-quality or regime-classification tool. While strong one-sided flow can sometimes align with directional trends, this script is not built to classify broad market regimes on its own. It is a flow diagnostic, not a complete regime engine. It is not a dashboard or screener. It is a single-study analytical tool focused on one chart at a time, designed to help interpret the quality and persistence of directional money flow in context. Because of those boundaries, this publication should not be read as a renamed variant of earlier AG Pro concepts. Its design problem, internal framing, visual hierarchy, and interpretation model are distinct. Methodology At a conceptual level, the script begins with typical price and volume to form raw money flow. It then separates that flow into positive and negative components based on directional change. Those components are aggregated over a lookback period and compared through a normalized formulation so the result can be interpreted as a directional imbalance score rather than as a raw cumulative total. That normalized score is then smoothed for readability. Persistence logic is applied to distinguish short-lived pushes from conditions that remain outside the neutral band for multiple bars. The script then classifies the output using three broad layers of interpretation: 1. direction: bullish, bearish, or neutral, 2. strength: neutral, moderate, strong, or extreme, 3. behavior: expanding, fading, stabilizing, or balanced. A secondary classical MFI context layer is also displayed in the panel. This is intentionally subordinate to the main engine. Its purpose is to tell the user whether the classical MFI backdrop is broadly supportive of the current imbalance read, not to replace the imbalance model. How to read it A positive histogram indicates bullish directional flow imbalance. A negative histogram indicates bearish directional flow imbalance. The further the score moves away from the neutral band, the more one-sided the flow condition becomes according to the script’s current settings. The signal line is there to help users judge whether the imbalance is strengthening, flattening, or reversing. The raw score can also be displayed for users who want to compare unsmoothed behavior with the smoothed model. The neutral band is important because it separates relatively balanced participation from meaningful directional skew. Movement beyond the strong threshold suggests a more assertive one-sided condition. Movement into the extreme zone signals a more stretched imbalance state. None of these states should be interpreted in isolation. A strong bullish imbalance is not automatically a bullish trade signal, and a strong bearish imbalance is not automatically a bearish trade signal. They are context states. Persistence is also important. A one-bar excursion outside the neutral band does not carry the same informational weight as an imbalance that has remained active across several bars. That is why the panel includes a persistence read and why the optional event labels are intentionally restricted to selected events rather than every minor fluctuation. Signals and alerts The script includes structured event logic for the following types of conditions: - bullish directional imbalance started, - bearish directional imbalance started, - bullish imbalance strengthening above the strong threshold, - bearish imbalance strengthening above the strong threshold, - bullish extreme imbalance, - bearish extreme imbalance, - imbalance fading, - and balance restored. These alerts describe what the internal model is detecting. They do not guarantee that price will continue in the same direction, reverse, or reach any target. Their function is organizational: they help users identify when the script’s flow state changes materially. Key inputs The main controls are MFI Length, Imbalance Lookback, Smoothing Length, Signal Length, Persistence Bars, Neutral Threshold, Strong Threshold, and Extreme Threshold. These settings alter how sensitive the model is to short-term changes and how quickly it escalates a condition from neutral to strong or extreme. Visual controls allow users to show or hide the histogram, signal line, raw score, threshold zones, bias tint, MFI guides, summary panel, and event labels. Label behavior can also be filtered through event mode, size, spacing, and transparency settings so the pane can remain readable without becoming over-annotated. Practical use This script is generally most useful when the user wants to inspect whether directional participation is broadening or weakening under the surface. For example, a user may observe price moving higher while checking whether the flow imbalance remains supportive, is fading, or never became strong in the first place. Likewise, when price weakens, the script can help distinguish between shallow bearish flow and more persistent bearish dominance. It can also be used as a filter alongside other tools. A trader using structural tools, trend tools, or volatility tools may find it useful to ask whether those reads are accompanied by balanced flow, strengthening directional skew, fading imbalance, or a return toward neutrality. In that role, AG Pro MFI Flow Imbalance functions as a context layer rather than as a one-click decision engine. Limitations and transparency This script does not know market intent, external news, hidden liquidity, or order-book behavior. It works only with the price and volume data available on the chart and the transformations applied to that data inside the model. Different symbols, exchanges, sessions, liquidity profiles, and volatility regimes can all change how the output behaves. The study also does not eliminate the tradeoff between sensitivity and stability. Shorter settings may react faster but can become noisier. Longer settings may produce smoother states but react later. Threshold placement matters as well. If thresholds are too loose, the script may classify too many minor swings as meaningful. If thresholds are too strict, it may ignore useful early changes. Users should also remember that strong imbalance is not inherently bullish or bearish in a simple predictive sense. A strong condition can persist, fade, stall, or reverse depending on context. The script is descriptive and analytical. It is not a guarantee engine. Why it may be useful to traders The usefulness of this publication comes from clarity, not from exaggerated claims. Many traders already work with price structure, trend tools, moving averages, or oscillators. What is often less explicit is whether money flow is becoming more balanced or more one-sided while those other reads are developing. This script offers a structured way to inspect that question and to keep the answer visually organized. By focusing on directional money-flow asymmetry, persistence, threshold behavior, and event transitions, the study provides a clear framework for discussing flow conditions without collapsing everything into a generic overbought/oversold interpretation. Risk disclosure This script is an analytical indicator. It is not financial advice, not a promise of future results, and not a substitute for risk management, market context, or independent judgment. It does not guarantee profitable trades, trend continuation, reversals, or improved performance. Use it as one input among others.
Penunjuk Pine Script®
oleh AGProLabs
1
Stratum Depth Profile [JOAT]Stratum Depth Profile Introduction The Stratum Depth Profile is an open-source volume profile indicator built in Pine Script v6. It calculates and displays a real-time Volume Profile histogram directly on the price chart, identifying the Point of Control (POC), Value Area High (VAH), Value Area Low (VAL), and classifying price zones as High Volume Nodes (HVN) or Low Volume Nodes (LVN). The indicator separates buying and selling volume within each price level, calculates a context score based on where price sits relative to the profile, and detects institutional signals like POC reclaims, Value Area breakouts, absorption events, and delta imbalances. Unlike simple volume bars beneath the chart, this indicator maps volume across price levels to show where the most trading activity occurred. The POC represents the price level with the highest traded volume — a natural magnet for price. The Value Area contains the configurable percentage (default 70%) of total volume, defining the range where most participants agreed on value. Price outside the Value Area is in a statistical extreme and tends to revert or accelerate. Why This Indicator Exists Volume Profile is one of the most powerful tools in institutional trading, but most implementations on TradingView either require paid subscriptions, lack delta separation, or do not provide context scoring. This indicator addresses those gaps: Full Volume Profile Calculation: Bins volume across configurable price levels over a lookback period, producing a true histogram of volume by price Bull/Bear Delta Separation: Each price level's volume is split into buying volume (close > open candles) and selling volume (close < open candles), revealing who controls each level POC / VAH / VAL Detection: Automatically identifies the Point of Control and expands outward to find the Value Area boundaries containing the specified percentage of total volume Context Scoring: A 0-100 score based on price position relative to the profile (above VAH, at POC, below VAL, etc.) combined with SMA alignment, giving a quick read on the current market context Institutional Signal Detection: POC Reclaim, POC Rejection, VA Breakout, Absorption, Delta Imbalance, and Zone Shift events with anti-overlap cooldowns HVN/LVN Classification: Identifies which price levels have concentrated volume (support/resistance) versus thin volume (fast-move zones) How Volume Profile Calculation Works The indicator divides the price range of the lookback period into a configurable number of rows (default 24). For each bar within the lookback, it determines which price bin the bar's activity falls into and accumulates volume. The calculation separates bullish and bearish volume: // For each bar in the lookback, assign volume to the appropriate price bin // Bullish volume: bars where close > open // Bearish volume: bars where close < open // POC = price bin with the highest total volume // Value Area = expand from POC until cumulative volume >= vaPct% of total The POC is the single price level where the most volume was traded — it acts as a magnet because it represents the price at which the most participants found value. The Value Area expands symmetrically from the POC, adding the next-highest adjacent bins until the specified percentage of total volume is captured. Bull/Bear Delta at Each Level What makes this profile unique is the delta separation within each price bin. Instead of just showing total volume, the histogram displays bullish volume (green/teal) and bearish volume (pink/red) side by side at each price level. This reveals: A POC dominated by buying volume suggests buyers control the key level — bullish bias A POC dominated by selling volume suggests distribution — bearish bias VAH with heavy selling indicates resistance with institutional distribution VAL with heavy buying indicates support with institutional accumulation Levels where bull and bear volume are roughly equal indicate genuine two-way auction — balanced market Context Scoring System The context score (0-100) provides an at-a-glance assessment of the current market state relative to the volume profile: Price Zone Component: Where price sits relative to POC, VAH, and VAL. Price above VAH or below VAL scores higher (trending/breakout conditions). Price near POC scores for mean-reversion potential. SMA Alignment Component: Whether the 20, 50, and 200 SMAs are aligned in a trending configuration. Full bull alignment (20 > 50 > 200) or bear alignment adds to the score. POC Proximity: How close price is to the POC level — useful for identifying mean-reversion opportunities or confirming that price is at a key decision point. Delta Direction: Whether the current cumulative delta supports the price direction. Institutional Signals The indicator detects six types of institutional events, each with anti-overlap cooldowns to prevent label stacking: POC Reclaim: Price crosses above the POC after being below it — indicates buyers are reclaiming the most-traded level, often a bullish continuation signal POC Rejection: Price approaches the POC and reverses away — the POC is acting as resistance or support VA Breakout: Price closes outside the Value Area — a statistical extreme that often leads to trend continuation or a sharp reversion Absorption: High volume with small price range (Wyckoff Effort vs Result) — institutional orders are being filled without moving price, often preceding a directional move Delta Imbalance: The buy/sell volume ratio at the current level is heavily skewed, indicating one-sided institutional flow Zone Shift: The Value Area boundaries shift significantly between profile recalculations, indicating a change in the accepted value range Visual Design The indicator uses a "Midnight Neon" color theme with electric blues, hot pinks, neon violets, and lime accents on a dark background: VP Histogram: Horizontal bars drawn as boxes, with bull volume in neon teal and bear volume in hot pink. A sin-based gradient provides smooth color transitions across the histogram. POC Line: Bright electric blue line at the highest-volume price level, with a label showing the exact price VAH/VAL Lines: Neon violet lines marking the Value Area boundaries SMA Lines: 20/50/200 SMAs with neon glow effect for trend context Signal Labels: Color-coded labels for each institutional signal type with cooldown-based anti-overlap Context Score: Displayed in the HUD with color coding (green for high scores, amber for moderate, red for low) HUD Dashboard The real-time HUD displays key metrics: POC price level and proximity state (At POC, Near POC, Away) VAH and VAL price levels with current zone (Above VA, In VA, Below VA) Context Score (0-100) with color coding POC Delta direction (Buyers/Sellers/Balanced) Current Delta value and direction Effort/Result ratio (Wyckoff absorption detection) SMA Alignment state (Bull Aligned, Bear Aligned, Mixed) Volume Ratio (current vs 20-bar average) Imbalance classification Input Parameters Volume Profile: Lookback (bars): Number of bars to calculate the profile over (default: 100) Price Levels: Number of horizontal bins to divide the price range into (default: 24) Value Area %: Percentage of total volume to include in the Value Area (default: 70%) Display: Display Mode: Full (histogram + lines), Minimal (lines only), or Off Histogram Width: How many bars wide the histogram extends (default: 12) Show SMA Lines: Toggle 20/50/200 SMA overlay Show Signals: Toggle institutional signal labels Signal Cooldown: Minimum bars between signals (default: 5) Show HUD Panel: Toggle the information dashboard How to Use This Indicator Step 1: Identify the Value Area The area between VAH and VAL represents where 70% of volume was traded. Price inside this range is in "fair value." Price outside is in a statistical extreme. Step 2: Watch the POC The POC is the strongest magnet on the chart. If price is away from the POC, expect a pull back toward it unless strong momentum keeps price moving. If price is at the POC, watch for a directional break. Step 3: Read the Delta Check whether the POC is buyer-dominated or seller-dominated. A buyer-dominated POC in a bullish SMA alignment is a strong confluence for longs. A seller-dominated POC with bearish alignment favors shorts. Step 4: Use Signals for Timing POC Reclaim and VA Breakout signals provide timing for entries. Absorption signals warn that a move is being loaded. Delta Imbalance confirms directional conviction. Step 5: Context Score for Quick Assessment A context score above 70 suggests strong directional conditions. Below 30 suggests choppy or mean-reverting conditions. Use this to decide whether to trade aggressively or wait. Best Practices Volume Profile is most meaningful on instruments with reliable volume data — major forex pairs, large-cap equities, crypto majors The lookback period should match your trading timeframe. Day traders might use 50-100 bars on a 5-minute chart. Swing traders might use 100-200 bars on a 1-hour chart. More price levels (rows) give finer resolution but can make the histogram harder to read. 20-30 rows is a good balance. The POC is not a guaranteed support/resistance level — it is a probability zone. Use it with other confluence factors. VA Breakouts can be false. Confirm with volume and momentum before trading a breakout above VAH or below VAL. The delta separation is estimated from candle direction (close vs open), which is an approximation. True tick-level delta requires exchange data not available in Pine Script. During low-volume periods, the profile may be less representative of true institutional positioning. Limitations Volume Profile calculation is computationally intensive. Very large lookback periods (500+ bars) with many price levels may slow chart loading. The profile is recalculated on each bar, so the POC and VA boundaries can shift as new volume data arrives. This is by design — the profile reflects the most current volume distribution. Buy/sell volume separation uses candle direction as a proxy, not actual order flow data. This is the standard approximation available in Pine Script. The indicator draws boxes for the histogram, which counts against TradingView's drawing object limits. The max_boxes_count is set to 500. On instruments with inconsistent volume reporting (some forex brokers, illiquid stocks), the profile may not accurately represent true volume distribution. The context score is a heuristic, not a statistical model. It provides a useful summary but should not be the sole basis for trading decisions. Technical Implementation Built with Pine Script v6 using: Custom volume profile calculation with configurable resolution and lookback Bull/bear volume separation at each price bin Value Area expansion algorithm (symmetric outward from POC) Pre-allocated drawing objects updated via set() methods for performance Sin-based gradient coloring for smooth histogram visual transitions barstate.isconfirmed gating on all signal generation Anti-overlap cooldown system for institutional signals SMA alignment scoring integrated with profile-based context Alert conditions for POC Reclaim, VA Breakout, Absorption, Delta Imbalance, and Zone Shift Originality Statement This indicator is original in its integration of volume profile analysis with institutional signal detection and context scoring. While volume profile calculation is a known concept, this indicator is justified because: It combines VP histogram visualization with real-time bull/bear delta separation at each price level, revealing who controls each zone The context scoring system synthesizes price position, SMA alignment, POC proximity, and delta direction into a single actionable metric Institutional signal detection (POC Reclaim, Absorption, Delta Imbalance) is derived directly from the volume profile data rather than being a separate overlay The sin-based gradient coloring and Midnight Neon theme provide clear visual hierarchy without the visual noise common in VP indicators Pre-allocated drawing objects with set() updates provide significantly better performance than creating/deleting objects each bar The HVN/LVN classification helps traders quickly identify where price will find support/resistance versus where it will move quickly Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Volume Profile analysis shows where volume was traded historically — it does not predict where price will go. The POC, VAH, and VAL are probability zones, not certainties. Past volume distributions do not guarantee future price behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made by officialjackofalltrades
Penunjuk Pine Script®
oleh officialjackofalltrades