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AG Pro Value Migration Bands [AGPro Series]AG Pro Value Migration Bands Overview / What it does The "AG Pro Value Migration Bands" script is a chart-first analytical tool designed to visualize how the market's accepted-value region migrates over time. Instead of drawing a single average line, it builds a three-layer band (upper, middle, lower) that represents where price has been most accepted during the rolling lookback window. As this band drifts up, holds flat, or drifts down, the indicator classifies the environment into three structural regimes: Rising Value, Flat Value, and Falling Value. The script's goal is to help traders read structural direction at a glance — not entry signals — by turning the abstract concept of value migration into a single, dominant on-chart geometry. Unique Edge (Why it is not a basic mashup) This script is not a moving average envelope, a Keltner-style ATR band, a Bollinger Band, or a volume profile derivative. It introduces three distinct design choices that work together: First, the band itself is constructed from percentile-window statistics rather than from mean-plus-deviation logic. The upper and lower edges are the linear-interpolation percentiles of a typical-price series over the lookback, which captures the region where price has statistically spent the most time — the structural meaning of "accepted value." Second, the migration classification is ATR-normalized, making the Rising / Flat / Falling regime scale-invariant across assets and timeframes. A 2-bar candidate confirmation layer prevents the regime from flipping on single-bar noise. Third, the visual identity is engineered around a single dominant band with a low-opacity fill. Event markers (Reclaim / Lost) are regime-gated and ATR-distance-gated to prevent label spam, so the chart stays clean even in choppy markets. Methodology (Conceptual Data Flow) 1. Percentile Band Construction: For each bar, the script computes the low-percentile and high-percentile of the typical price (HLC/3) over the user-defined Band Length. The Band Width Mode (Tight / Balanced / Wide) controls which percentile pair is used. 2. Light Smoothing: The raw percentile edges are lightly smoothed with an EMA whose length scales with the Band Length, stabilizing the band visually without introducing structural lag. 3. Strict Value Filter: When the band width collapses below 0.8 ATR, the band is treated as a compressed non-structural zone and the regime is forced to Flat. This eliminates trivial micro-bands. 4. Migration Slope: The slope of the middle line is measured over a rolling window and normalized by ATR, producing a scale-invariant slope coefficient. 5. Regime Classification: The ATR-normalized slope is compared to the user's Sensitivity threshold to produce a candidate regime (Rising / Flat / Falling). A 2-bar persistence check confirms the regime before it commits. 6. Location State: Price is continuously classified as Inside, Above, or Below the band. 7. Event Gating: Reclaim and Lost events are only emitted when the current regime makes that event structurally meaningful (Reclaim only when not Falling; Lost only when not Rising), and only after a minimum ATR-distance from the prior event. Signals and Alerts All alerts are deterministically defined based on strict mathematical conditions. For optimal stability, alerts should be configured to trigger on "Once Per Bar Close." - VMB: Value Band Shifted Up — Triggers when the confirmed regime transitions into Rising Value. - VMB: Value Band Shifted Down — Triggers when the confirmed regime transitions into Falling Value. - VMB: Band Reclaimed — Triggers when price returns into the accepted-value region from below, and the regime is not Falling (regime-gated). - VMB: Band Lost — Triggers when price falls out of the accepted-value region from inside, and the regime is not Rising (regime-gated). Key Inputs - Band Length — Lookback window used to build the rolling accepted-value region. Default 100 is balanced for 1H–4H swing use. - Band Width Mode — Tight / Balanced / Wide. Controls which percentile pair defines the band edges. - Strict Value Filter — When enabled, forces Flat regime during extreme band compression (recommended ON). - Migration Slope Sensitivity — ATR-normalized slope threshold separating Rising / Flat / Falling. - Show Midline, Band Fill, State Label, Event Markers, Info Panel — Individual visual toggles for a configurable display. - Panel Font Size, Label Font Size — Separate font-size controls for the info panel and on-chart labels. - Rising / Falling / Flat Colors, Band Fill Opacity — Full color customization. How to use This indicator is designed as a structural context tool, not an entry system. It is most useful for identifying the dominant value-migration direction and filtering trade ideas against that context. - A persistent Rising Value regime with price repeatedly holding inside or above the band suggests a structurally constructive environment where long-biased setups from other tools carry a contextual tailwind. - A persistent Falling Value regime with price repeatedly losing the band suggests a structurally weak environment where short-biased setups carry a contextual tailwind. - A Flat Value regime with a Tight Band Width is a signal of compression; the indicator makes no directional claim in this state and the user should defer to breakout or range-trading tools. - Reclaim and Lost event markers are reference points for location transitions, not standalone entry signals. They are most useful as confluence with independent structure, liquidity, or volume analysis. - The info panel's four rows (Value State, Migration, Location, Band Width) are designed to be read in roughly two seconds and provide a complete snapshot of the current structural context. Limitations & Transparency The band is built from percentile statistics over a finite lookback window. This means the band will lag in absolute terms after sharp regime changes, and the structure will always re-stabilize only after enough post-shift data has accumulated. The Migration Slope is a historical measurement, not a forecasting tool — it describes what has happened, not what will happen next. The Strict Value Filter uses a fixed 0.8 ATR compression threshold that has been tuned for general crypto and equity behavior; in extremely low-volatility or very thinly-traded markets, users may wish to disable the filter or adjust the lookback. This script does not use request.security() and therefore does not carry any multi-timeframe repainting risk. Regime classification is deterministic and closes-only at the candle-close level, but during live bar development the classification can flicker before the bar closes. For stable reading, always evaluate the regime on closed bars. What It Is Not & Risk Disclosure This indicator is not a standalone trading strategy, not an automated bot, and does not provide buy or sell recommendations. There is no such thing as a guaranteed win rate or a perfect indicator. Not financial advice. Past performance is not indicative of future results. Do your own research and testing before making any trading decisions.
مؤشر Pine Script®
من ‎AGProLabs‎
3
AG Pro Price Vacuum Atlas [AGPro Series]AG Pro Price Vacuum Atlas Overview / What it does The AG Pro Price Vacuum Atlas maps "price vacuums" — horizontal corridors where price travelled fast and spent very little time, leaving low-interaction zones on the chart. Unlike traditional volume or acceptance tools that highlight where price is busy, this indicator inverts the question and visualizes where the market was NOT, producing a clean atlas of empty highways across recent price history. Each corridor is tracked through a lifecycle (Fresh → Entered → Passed / Rejected) so traders can see how price behaves when it revisits these empty bands. Unique Edge This is not a volume profile, not an FVG engine, and not a standard supply/demand tool. It builds a time-per-slice histogram weighted inversely to bar range normalized by ATR, so fast-travelled slices accumulate little "time score" while slow, congested slices dominate. A percentile-based threshold — computed only on visited slices — selects the emptiest corridors, then filters them by minimum visit count and maximum corridor height to keep the atlas focused on genuine fast-travel zones rather than unvisited territory at chart edges. The result is a scarce, high-signal map (typically 1–4 corridors) rather than a heatmap. Methodology - Scan window: a configurable rolling lookback (default 300 bars) is divided into 40 horizontal slices. - Time-per-slice scoring: every bar's range is distributed across the slices it crosses, weighted by 1 / max(bar_range / ATR, 0.25). Slow bars concentrate score in few slices; fast bars spread low score across many slices. - Vacuum detection: a percentile threshold (adjustable via Sensitivity) is computed on visited slices. Contiguous runs of slices whose score sits at or below this threshold become corridor candidates. - Filters: each candidate must meet a minimum visit count and stay below a maximum height fraction of total range, preserving the one-story atlas feel. - Ranking: candidates are scored on emptiness and ATR-normalized height; the top N (default 4) survive. - Merging: a corridor that overlaps more than 40% with a previously tracked one inherits its state history, so lifecycle information is preserved across rebuilds. Signals & Alerts Each corridor evolves through a state machine: - Fresh — corridor is drawn but price has not re-entered it yet. - Entered — price has re-entered the corridor. - Passed — price closed beyond the opposite boundary of entry (the corridor was traversed). - Rejected — price closed back past the entry side by the configured retrace fraction (the corridor turned price away). Three alerts are available, both via alertcondition (dialog) and alert() (built-in): Vacuum Entered, Vacuum Passed, Vacuum Rejected. Each alert fires only on the bar of the state transition. Key Inputs - Scan Length: how many recent bars feed the atlas (default 300). - Vacuum Sensitivity: Strict / Balanced / Loose — controls percentile cut and minimum visits. - Max Corridors Shown: hard cap on how many corridors render at once (default 4). - Max Corridor Height: rejects corridors taller than this fraction of range (default 0.50). - Fresh Corridors Only: hides non-fresh corridors for the cleanest publish view. - Show Route State: toggle Fresh / Entered / Passed / Rejected tags on the right edge. - Fade Resolved Corridors: softens passed/rejected corridors so focus stays on active structure. - Reject Retrace: fraction of corridor depth required for a Reject classification. - Corridor Opacity, Label Size, Panel Size, Corridor Right Extension: visual tuning for different chart styles. How to use - Use active corridors as contextual targets or retest zones rather than standalone entry signals. - Watch for Entered transitions as potential reaction areas; Passed and Rejected outcomes describe how price handled the vacuum historically. - Combine with your own structure, bias, or higher-timeframe context. The atlas answers "where is price likely to travel fast?" — not "what direction should I take?" - On cleaner charts switch Sensitivity to Strict; on consolidating instruments Balanced or Loose surfaces more detail. - For publish-style screenshots, enable Fresh Corridors Only to isolate untouched targets. Limitations & Transparency - The atlas is descriptive, not predictive. A corridor simply records how price travelled in the past within the scan window; it does not forecast how price will behave on revisit. - Detection is sensitive to the chosen Scan Length and Sensitivity. Short windows are more reactive; long windows surface older structural vacuums. - Corridors are recomputed at a modest cadence (every 10 confirmed bars) to control CPU load and reduce flicker. Real-time state transitions are evaluated on every confirmed bar. - Very low-volatility consolidation regimes may produce few or no corridors, which is the intended behaviour — absence of vacuums is information. - The script uses the built-in ATR and price history only; no external data, no higher-timeframe request, no repainting via security lookahead. Risk Disclosure This script is an analytical visualization tool. It is not a strategy, not a signal service, not an automated trading system, and does not provide buy or sell recommendations. There is no guaranteed win rate and no indicator is infallible. Historical behaviour of vacuum corridors does not guarantee future behaviour. Users are solely responsible for their own decisions, position sizing, and risk management. Nothing in this script constitutes financial advice. Past performance is not indicative of future results.
مؤشر Pine Script®
من ‎AGProLabs‎
3
AG Pro Fixed Range Control Box [AGPro Series]AG Pro Fixed Range Control Box ═══════════════════════════════════════════════ Overview / What it does ═══════════════════════════════════════════════ AG Pro Fixed Range Control Box identifies a single high-conviction price range and answers one simple question: who is in control inside it — bulls, bears, or neither? Instead of plotting dozens of support and resistance levels, this tool isolates one structural range (automatically detected or manually set), draws a volume-weighted Control Line inside it, and classifies the current state into four clean categories: Inside, Upper (Bull Control), Lower (Bear Control), or Failed. A compact information panel shows the current side, range age, touch count, and hold quality. The design philosophy is minimalist: one hero box, one story, zero visual clutter. ═══════════════════════════════════════════════ Unique Edge ═══════════════════════════════════════════════ Most range tools show many boxes of equal weight, leaving the user to decide which one matters. This script takes the opposite approach — it commits to exactly one active range at a time and stops redrawing it when the structure breaks. Three properties make this distinctive: 1. VWAP-based Control Line (not a static midpoint). The line is the volume-weighted average price inside the range, so it reflects where participants have actually transacted, not geometric averaging. 2. Edge-aware fallback. If the VWAP collapses to the top or bottom 10% of the range (meaning price has spent most time at one edge), the line automatically falls back to the range midpoint. This keeps the Control Line meaningful in trending conditions. 3. Frozen-on-failure state. When price closes beyond the range, the box freezes at the break bar — it does not keep extending into the future pretending the range is still valid. A cooldown period then elapses before a new range is searched, preventing rapid re-triggers. ═══════════════════════════════════════════════ Methodology ═══════════════════════════════════════════════ Range detection offers four modes: - Auto - Pivot: Uses the last confirmed pivot high and pivot low as range boundaries. A new range is built only when the pivot set changes meaningfully (beyond 10 ticks) and width passes the minimum percentage filter. - Auto - Lookback: Uses the highest high and lowest low over a fixed bar window. Rebuilds on a schedule. - Auto - Compression: Monitors the ratio of short-term ATR to long-term ATR. When compression is detected (ratio below threshold), the current compressed zone is locked as the range. - Manual - Date: User defines a start and end timestamp. The range tracks high/low within that window. Control Line = rolling VWAP from range start to current bar, clamped inside the range with edge-fallback to midpoint. State machine: - Inside: price oscillating within the range, control line not decisively reclaimed. - Upper (Bull Control): price has held above the Control Line for N consecutive bars (N = Reclaim Confirmation, default 2). - Lower (Bear Control): same logic, below the Control Line. - Failed: price closed beyond range_high or range_low. Range is frozen. Quality metrics: - Touch Count: bars in which the candle range contained the Control Line (price interacted with it). - Hold Quality: percentage of bars whose close remained inside the range, capped at 100%. ═══════════════════════════════════════════════ Signals & Alerts ═══════════════════════════════════════════════ Three alert conditions are available: - New Control Box formed: a fresh range has been established. - Control Line reclaimed (Bull or Bear): state transition into Upper or Lower control. - Control Box failed: range boundary breached; box is frozen. All alerts fire once per bar close to reduce noise. ═══════════════════════════════════════════════ Key Inputs ═══════════════════════════════════════════════ - Range Mode: Auto-Pivot / Auto-Lookback / Auto-Compression / Manual. - Pivot Length, Lookback Bars, Compression Window & Ratio: tune the detection sensitivity per market and timeframe. - Min Range Lifespan: minimum bars before a new range can replace the current one. - Min Range Width %: filters out micro-ranges below this percentage width. - Failed Cooldown Bars: enforced wait period after a Failed state before a new range is searched. - Strict Control Logic: requires confirmed close past the Control Line; if disabled, wicks are used. - Reclaim Confirmation: consecutive bars required to confirm a reclaim. - Fade Old Boxes, Max Boxes Kept, Future Projection Bars: visual controls. ═══════════════════════════════════════════════ How to use ═══════════════════════════════════════════════ 1. Start with Auto - Pivot mode on your preferred timeframe. This is the most intuitive detection method for most markets. 2. Watch the State field in the panel. Inside means the range is live and being tested. Upper or Lower means one side has taken control of the Control Line. Failed means the range has structurally broken. 3. Touch Count and Hold Quality give context for how respected the range is. High Hold Quality (above 80%) combined with several touches suggests a well-defined structure. 4. For lower-timeframe or choppy markets, try Auto - Compression to lock onto low-volatility consolidations. For specific event studies, use Manual - Date. ═══════════════════════════════════════════════ Limitations & Transparency ═══════════════════════════════════════════════ - This is an indicator, not a strategy. It does not generate buy or sell signals and should not be treated as one. - Range detection is retrospective. Pivot-based ranges rely on confirmed pivots, which require pivotLen bars of hindsight on each side. The range only finalizes after this delay. - VWAP is computed from bar data (not tick data) and uses nz(volume,1) as a fallback on symbols without volume data. - On symbols with extreme trending behavior, Auto detection may produce wide ranges that do not represent true consolidation. Manual mode is recommended in such cases. - Hold Quality above 95% typically indicates a very tight, well-held range — but it is a historical description, not a prediction of future behavior. ═══════════════════════════════════════════════ Risk Disclosure ═══════════════════════════════════════════════ This script is published for educational and analytical purposes only. It is not financial advice, not a trading recommendation, and not a strategy. Past behavior of any range or control structure does not guarantee future outcomes. All trading decisions are the sole responsibility of the user. Always combine any single tool with your own analysis, risk management, and broader market context. Never risk capital you cannot afford to lose.
مؤشر Pine Script®
من ‎AGProLabs‎
3
Auction Intelligence█ AUCTION INTELLIGENCE Auction Market Theory Overlay An Auction Market Theory (AMT) overlay that analyzes market structure through volume profile analysis. It detects profile shape (D/P/b/DD), identifies balance vs. imbalance states, and tracks value migration — giving you the same auction-based framework used by institutional traders to understand market behavior. Free and Open Source. █ THE CONCEPT: WHY AUCTION MARKET THEORY MATTERS Standard indicators tell you what happened. AMT tells you why . Markets are continuous two-sided auctions where buyers and sellers negotiate fair value: Balance — Price rotates within an accepted value area. Expect mean-reversion and range-bound trading. Imbalance — Price breaks away from the value area. One side dominates. Expect continuation. Profile Shape — The distribution of volume tells you who is in control and what to expect next. Value Migration — The direction where the POC and Value Area are shifting reveals the underlying trend. █ CORE FEATURES 1. Volume Profile Engine Distributes each bar's volume proportionally across price rows, building a volume-at-price distribution: POC (Point of Control) — Highest volume row = strongest S/R level VAH (Value Area High) — Upper boundary of the 70% value area = resistance VAL (Value Area Low) — Lower boundary of the 70% value area = support 2. Profile Shape Detection Automatically classifies the volume distribution into four distinct shapes: D-shape — Balanced. Volume evenly distributed, POC near center. Expect rotation. P-shape — Bullish. Volume concentrated in upper half. Buyers in control. b-shape — Bearish. Volume concentrated in lower half. Sellers in control. DD (Double Distribution) — Two distinct volume clusters. Market transitioning between value areas. 3. Balance vs. Imbalance Recognition Three-factor analysis combining price position, VA width dynamics, and trend strength. The chart background colors automatically when imbalance is detected (cyan = bullish discovery, red = bearish discovery). 4. Value Migration Tracker Monitors how the POC and Value Area midpoint shift over time: Bullish Migration ▲ — POC and VA migrating higher = institutional buying Bearish Migration ▼ — POC and VA migrating lower = institutional selling Neutral ─ — No significant migration = consolidation █ AUTO-TIMEFRAME ADAPTATION All parameters automatically adjust based on the chart timeframe: 1-5 min → Lookback 30, 18 Rows, Migration Len 5 15-30 min → Lookback 40, 20 Rows, Migration Len 8 1 Hour → Lookback 50, 24 Rows, Migration Len 10 4 Hour → Lookback 70, 28 Rows, Migration Len 15 Daily → Lookback 100, 32 Rows, Migration Len 20 Weekly+ → Lookback 150, 40 Rows, Migration Len 30 Disable Auto-TF to use manual settings for full control. █ DASHBOARD A compact, dark-themed info panel displaying: State — Current AMT state (BALANCE / IMBALANCE) with context Shape — Detected profile shape (D / P / b / DD) with description Migration — Value migration direction and strength Position — Current price position relative to Value Area POC / VAH / VAL — Key volume-based levels █ ALERTS (4 CONDITIONS) Balance → Imbalance — Market leaving the value area Imbalance → Balance — Market returning to the value area Profile Shape Changed — Volume distribution pattern shift Value Migration Shift — Directional bias change in POC/VA migration █ PRO VERSION The PRO version (Auction Intelligence PRO v2.0) adds: Initial Balance Range — IB Tracking + IB Extension Detection Failed Auction Detection — VA Breakout Failures Excess & Poor High/Low — Wick analysis at session extremes Auction Rotation Factor — POC-cross frequency as market efficiency measure Day Type Classification — Trend/Normal/Normal Var./Neutral/Double Dist. (Dalton) Previous Day Value Area — PDPOC/PDVAH/PDVAL as reference levels Enhanced Confluence Score — 0-12 scale with A+ to D grading 13 Alert Conditions █ NON-REPAINTING The volume profile is calculated from confirmed bar data only. The rolling lookback window recalculates on each confirmed bar using historical high/low/volume — no future data is used. No repainting. █ WORKS ON Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly. █ DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
مؤشر Pine Script®
من ‎alphachart_tv‎
AG Pro Equal High / Equal Low Sweep Engine [AGPro Series]AG Pro Equal High / Equal Low Sweep Engine Overview / What it does AG Pro Equal High / Equal Low Sweep Engine is a price-action overlay designed to detect equal highs (EQH) and equal lows (EQL), track the liquidity pools that form around those levels, and highlight sweep events when price briefly trades through them and then closes back with confirmation. The script focuses on one specific market behavior: clustered highs and lows that tend to attract liquidity, followed by rejection-style sweeps that can mark failed continuation attempts, trap conditions, or local reaction points. Instead of treating every wick through a prior level as equally important, the script separates untouched pools from already swept pools, applies a configurable tolerance model for defining EQH/EQL structures, and adds close-based confirmation logic so users can filter out weaker events. Short liquidity lines, band-style zones, trap labels, and a compact summary panel are used to keep the information visible without turning the chart into a large box-based map. This tool is built for traders who want a structured view of repeated highs/lows and the liquidity behavior around them. It is not intended to label every possible swing event on the chart. Its purpose is narrower and more deliberate: identify equal-high / equal-low liquidity pools, monitor whether they remain intact or get swept, and display the sweep in a visually organized way. Unique Edge The main distinction of this script is that it does not attempt to map all forms of stop runs or all types of liquidity events. It concentrates specifically on EQH/EQL liquidity pools and the sweep lifecycle around those pools. That narrower scope allows the chart objects to remain more readable while still showing useful structure. The script also distinguishes between untouched and swept states. This matters because a fresh liquidity pool and a previously swept pool do not represent the same chart condition. Untouched pools can still act as active draw-on-liquidity zones, while swept pools become part of recent context and may be interpreted differently depending on the user's framework. A second differentiator is the combination of equal-pool detection, close confirmation, and optional quality scoring. Equal highs and equal lows are first identified using pivot logic and a user-defined tolerance percentage. Then, when price trades through the pool, the script can require either any wick, a reclaim close, or a stronger rejection close before confirming the sweep. An optional quality bonus can further weight events when relative volume and rejection characteristics are more supportive. The visual model is also intentionally selective. Instead of using large generalized rectangles across the whole chart, the script uses shorter liquidity lines and band zones tied directly to the detected pool. This keeps the visuals anchored to the detected structure rather than creating broad areas that may overstate precision. Methodology 1) Equal High / Equal Low Detection The script uses pivot highs and pivot lows to build candidate swing points. When two highs or two lows form within the user-defined tolerance threshold and within the required bar spacing, they are treated as an equal-high or equal-low liquidity pool. Multiple nearby pools can optionally be merged into a cleaner combined structure. 2) Liquidity Pool Lifecycle Once a pool is created, it is tracked as active until one of two things happens: it is swept by price, or it expires after its configured lifetime. The script maintains state so pools can be shown as untouched, swept, or removed when they are no longer relevant. 3) Sweep Confirmation A sweep is not limited to price piercing the level. The script can require: - Any Wick: any trade-through qualifies. - Reclaim Close: price must close back through the level after the sweep. - Strong Rejection: a stricter close-position filter is applied. This helps users decide how sensitive or selective they want the engine to be. 4) Quality Logic When enabled, the script calculates a quality score using rejection characteristics, close position, relative volume behavior, pool freshness, and pivot clustering. This is not a predictive score or a probability model. It is a contextual ranking layer intended to help compare sweeps on the same chart. 5) Visual Presentation The script can draw: - short horizontal liquidity lines - band-style EQH/EQL zones - optional reaction boxes after selected sweeps - trap labels on confirmed events - a summary panel showing current pool and sweep status Signals & Alerts The script includes alert conditions for: - new EQH pool detected - new EQL pool detected - EQH sweep confirmed - EQL sweep confirmed - any sweep confirmed These alerts are event-based and depend on the current settings used for confirmation and filtering. If stricter filters are selected, the number of confirmed events will naturally decrease. Key Inputs Pivot Strength Controls how swing highs and lows are confirmed. Higher values usually produce fewer, more structurally significant pools. EQH / EQL Tolerance % Defines how close two highs or lows must be to qualify as equal. Lower values make the script stricter. Higher values allow broader matching. Min / Max Bars Between Pivots Controls the acceptable spacing between the two pivots that define a pool. Sweep Close Filter Lets the user choose between wick-only behavior and more selective reclaim/rejection confirmation. Quality Bonus Adds an optional scoring bonus when the sweep also shows stronger contextual characteristics. Liquidity Line / Zone Length Controls how far the liquidity structures extend on the chart. Panel and Visual Settings Allow the user to tune panel position, label size, color theme, and display density for different chart styles and timeframes. Limitations & Transparency This script identifies equal highs and equal lows using pivot-based rules and a configurable tolerance model. Because of that, results depend on the chosen settings, the symbol, the timeframe, and the chart's volatility profile. A confirmed sweep should not be interpreted as a guaranteed reversal or a complete trade setup by itself. In some market conditions, price can sweep a pool and continue in the same direction. In other conditions, a sweep may mark only a short-lived reaction. The script highlights structural events; it does not forecast outcome. The quality score is a contextual ranking aid, not a performance promise, win-rate estimate, or statistical edge claim. Different users may prefer different thresholds depending on market regime and execution model. Band zones and reaction areas are visual approximations derived from the detected pool and post-sweep behavior. They are designed to improve chart readability, not to define exact institutional order blocks or guaranteed execution zones. Risk Disclosure This script is an analytical charting tool for studying equal-high / equal-low liquidity behavior and sweep confirmation. It does not provide financial advice, investment advice, or trade recommendations. All trading decisions remain the user's responsibility. Like any technical tool, it should be used with broader market context, risk management, and independent judgment. No indicator can eliminate uncertainty, and past chart behavior does not guarantee future results.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro Stop Hunt Map Engine [AGPro Series]AG Pro Stop Hunt Map Engine Overview / What it does AG Pro Stop Hunt Map Engine is a price-action overlay designed to map potential trap zones after liquidity sweeps. The script focuses on moments where price briefly moves beyond an important reference level, rejects that move, and then closes back through the swept area. In practical terms, this helps traders visualize where a failed breakout or failed breakdown may have left trapped positioning behind. The engine can work with pivot-based liquidity references, previous day high / previous day low references, or both at the same time. This makes it useful for traders who want a structured way to monitor classic stop-hunt behavior without relying on a single interpretation of liquidity. Instead of treating every wick beyond a level as meaningful, the script applies reclaim logic and filtering rules so that only sweeps with stronger reversal characteristics are highlighted. The core goal is not to predict every reversal. The goal is to organize sweep events into a readable map: where the sweep happened, which side may be trapped, which zones remain active, and which levels are still relevant as price moves forward. That is why the script is built as a map engine rather than a simple marker tool. This publication is especially suited to traders who study rejection structure, failed continuation, stop runs, and liquidity-driven reversals. It can be used as a visual context layer inside a broader workflow that may already include structure, trend, momentum, or higher-timeframe bias analysis. Unique Edge Many liquidity-sweep tools only mark a wick beyond a prior level and stop there. This script takes a more selective approach. It requires a reclaim condition, supports wick-to-body quality filtering, allows optional fake-sweep filtering, and maintains the resulting event as an actionable mapped zone rather than a one-bar marker. Its main differentiation is the emphasis on post-sweep structure. Once a sweep qualifies, the script builds and extends a zone so the trader can continue monitoring that area after the original event. This provides a cleaner framework for seeing whether the market is respecting that trap region, moving away from it, or invalidating it. Another important distinction is the visual hierarchy. The script is designed to separate nearest relevant zones from older or weaker context. This helps keep the chart readable while still preserving useful background information. Instead of cluttering the screen with every historical event at equal importance, the engine highlights what is currently closest and most relevant. Methodology The script first defines the liquidity source. Users can choose pivot highs and lows, previous day high and previous day low, or a combined mode that monitors both. For a bullish trap scenario, price must sweep below a valid downside reference and then reclaim it according to the selected conditions. For a bearish trap scenario, price must sweep above a valid upside reference and then reclaim it. This creates two independent directional engines: one for bullish recovery after downside liquidity is taken, and one for bearish rejection after upside liquidity is taken. The detection logic is built around several layers: 1. Sweep source selection The engine checks whether price has moved beyond a chosen pivot or previous-day level. 2. Wick / body filter The script can require a minimum wick-to-body relationship so that weak or low-conviction candles are filtered out. 3. Reclaim close requirement The user can require price to close back through the swept level before the event is accepted. 4. Fake sweep filter An optional penetration filter limits how deep price can move beyond the level before the event is treated as lower quality. 5. Zone persistence Qualified sweep-and-reclaim events are not left as isolated markers. They are stored and extended forward as zones so the trader can monitor their ongoing relevance. 6. Nearest-zone emphasis The display engine highlights the nearest bull and bear trap zones so current context is easier to read. The result is a framework that treats sweep events as evolving market context rather than isolated historical dots. Signals & Alerts The script identifies two primary event types: Bull Trap Reclaim This appears when price sweeps below a valid reference level and then closes back above it, suggesting that downside liquidity may have been taken and rejected. Bear Trap Reclaim This appears when price sweeps above a valid reference level and then closes back below it, suggesting that upside liquidity may have been taken and rejected. Visual elements can include: - Sweep zones - Trap labels - Right-edge state tags - Nearest-zone emphasis - Origin markers on qualifying sweep bars - A summary panel showing current state and nearest bull / bear trap information Alert conditions are included for: - Bullish trap reclaim events - Bearish trap reclaim events These alerts are event-based. They identify when a qualifying reclaim occurs according to the active settings. Key Inputs Sweep Source Choose whether the engine uses pivots, previous day levels, or both. Pivot Strength Controls how strict the pivot reference detection should be. Require Reclaim Close Requires price to close back through the swept level before a zone is created. Min Wick / Body Ratio Filters low-quality sweeps by requiring stronger rejection candles. Use Fake Sweep Filter Enables an additional penetration-depth filter to reduce weaker events. Max Penetration (ATR Multiple) Sets the maximum allowed overshoot beyond the swept level when fake-sweep filtering is enabled. Chart Mode Allows a cleaner publish-style view or a more detailed analysis-style view. Label Mode Controls how aggressively labels are shown on the chart. Highlight Nearest Bull / Bear Zones Emphasizes the closest active zones for faster visual interpretation. Summary Panel Shows the current trap state, active bull and bear zone counts, nearest trap levels, and the last detected events. Limitations & Transparency This script is not a prediction engine and does not guarantee reversals. A sweep-and-reclaim event can still fail, especially in strong directional environments where price continues expanding after a temporary rejection. Reference choice matters. Pivot-based detection and previous-day level detection describe different types of liquidity behavior. Depending on the instrument, timeframe, and volatility regime, one source may be more relevant than the other. Filtering also changes behavior significantly. Tight wick/body requirements or stricter fake-sweep settings will reduce signal frequency. Looser settings will create more events but may also admit weaker structures. Zones are contextual tools, not standalone trade instructions. Many traders may still want to combine the script with higher-timeframe structure, trend bias, volatility context, or execution rules before making decisions. As with any chart overlay, visual cleanliness depends on timeframe, market conditions, and user configuration. Different settings may be appropriate for intraday charts versus higher-timeframe swing charts. Risk Disclosure This script is for chart analysis and market structure visualization only. It does not provide financial advice, trade recommendations, or guaranteed outcomes. Markets can remain irrational longer than a trap setup appears logical, and any liquidity sweep signal can fail. Always apply independent judgment, position sizing discipline, and risk management. No single indicator should be used in isolation for live trading decisions.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro Liquidity Heatmap [AGPro Series]AG Pro Liquidity Heatmap Overview / What it does AG Pro Liquidity Heatmap is a visual liquidity-mapping tool designed to project areas where resting stop interest is more likely to be concentrated. Instead of focusing on a single pattern or a one-bar signal, this script builds a forward-looking heatmap from clustered pivot behavior and displays that information as persistent horizontal liquidity bands on the chart. The core idea is simple: repeated reactions around similar price levels often create zones where traders place stops, breakout orders, or defensive exits. When those levels begin to cluster, they can become structurally important. This script converts that clustering behavior into a heat score and renders it as layered Fire / Ice bands so traders can quickly identify where liquidity concentration may be building above or below current price. The script is not built as a prediction engine, and it does not attempt to claim where price must go next. Its purpose is to help traders organize the chart, monitor the nearest active liquidity bands, and understand which nearby levels appear more saturated, more persistent, or already mitigated. In that sense, it is best used as a market-structure context tool rather than as a standalone entry model. This script is also intentionally different from traditional support/resistance overlays, breakout detectors, and liquidity sweep labels. It does not merely mark recent highs and lows. It clusters pivot-derived levels, weights them into a dynamic heat score, extends them cleanly to the right side of the chart, and then updates or extinguishes them as price interacts with those zones. Unique Edge The unique edge of this script is that it treats liquidity as a developing field rather than a static line. A normal horizontal level script may show one prior high or one prior low. AG Pro Liquidity Heatmap instead tracks repeated pivot concentration, merges nearby levels into composite zones, scores those zones, and then visualizes the result as a layered heat structure. A second differentiator is the lifecycle logic. Once a band has been interacted with, the script does not leave every level unchanged forever. Depending on the selected behavior, a zone can fade or be removed after liquidity is taken. This helps reduce visual clutter and keeps the chart focused on currently relevant liquidity structures rather than a permanently accumulating archive of old levels. A third differentiator is presentation. The script is designed to produce a clean forward projection area with right-extending heat bands, readable labels, Fire / Ice theme control, a functional heatmap panel, and an optional EQ Magnet line that tracks the balance area between the nearest active upper and lower liquidity bands. The goal is not only analytical clarity, but also a chart layout that remains readable during live use. Methodology 1) Pivot detection The script first identifies pivot highs and pivot lows using user-defined left and right pivot lengths. These pivots are treated as candidate liquidity reference points. 2) Cluster merging If a new pivot forms close enough to an existing level, based on an ATR-driven merge distance, the script merges that information into the existing zone rather than creating unnecessary duplication. This allows nearby pivots to accumulate into a stronger composite band. 3) Heat scoring Each zone receives a heat score. Repeated clustering increases that score. When volume weighting is enabled, pivots formed with relatively stronger volume can contribute more heavily to the final score. This does not reveal actual order book liquidity, but it can provide a useful proxy for where market attention and stop concentration may be stronger. 4) Layered rendering Each active zone is rendered as a multi-layer horizontal band. The band thickness and saturation scale with heat score, which makes stronger zones visually heavier than weaker ones. This helps the chart communicate intensity without requiring the user to read every value manually. 5) Liquidity lifecycle When price reaches a zone, the script can either fade it or remove it depending on the selected extinguish mode. Optional mitigation tracking can leave a visual reminder of where liquidity was taken. This behavior is important because it keeps the heatmap adaptive rather than static. 6) Balance tracking When both upper and lower active liquidity bands are available, the script can display an EQ Magnet line between the nearest bands. This is not a target call. It is a contextual balance reference that can help visualize the midpoint of the currently nearest active liquidity field. States & Visual Elements - Fire bands represent upper liquidity concentration derived from pivot highs. - Ice bands represent lower liquidity concentration derived from pivot lows. - Stronger zones become visually denser and more prominent as heat score rises. - Zone labels display side, heat score, and price information in either compact or detailed mode. - The Heatmap Panel summarizes active band count, nearest zones, strongest zones, heat balance, last sweep information, and the current extinguish behavior. - The EQ Magnet line highlights the midpoint between the nearest active upper and lower bands when enabled. - Optional mitigation tracks can remain on the chart after liquidity is taken. How to use it This script is generally most useful as a context layer. Many traders may choose to use it in one of three ways: - to map where price may interact with nearby liquidity concentration, - to judge whether the closest active field is above or below current price, - to avoid taking impulsive decisions directly into dense opposing liquidity. The script can also be useful for chart organization. Traders who already use trend tools, structure tools, or trigger models may use the heatmap as a location filter. For example, a setup forming directly into a strong opposing liquidity band may deserve more caution than a setup developing in cleaner space. Key Inputs Pivot Left / Right Bars Controls how pivots are detected. Smaller values can produce more frequent zones; larger values can make the structure more selective. Cluster Merge Distance (ATR) Defines how close pivots must be to merge into the same liquidity band. Lower values keep zones more separated; higher values create broader clustering. Volume-Weighted Mode Allows higher-volume pivots to contribute more strongly to heat score. This is a proxy weighting mechanism, not direct order-flow confirmation. Minimum Heat Score To Show Filters out weaker zones from the visual display. Visual Saturation Score Controls how quickly the visual intensity reaches its maximum appearance. Base Band Height and Horizontal Band Density Shape the visual footprint of each zone and determine how rich or minimal the rendered band structure appears. Label controls Allow the user to choose label mode, font size, theme, label offsets, and label density. Panel controls Allow the user to change panel visibility, location, theme, and font size. Liquidity Taken Behavior Determines whether mitigated zones fade or are removed. Limitations & Transparency This script does not access order book data, exchange liquidation feeds, or hidden liquidity information. The displayed heatmap is derived from chart-based pivot clustering and optional volume weighting. For that reason, the bands should be understood as technical liquidity proxies rather than direct measurements of real resting orders. The heat score is also relative to the script's own internal logic. It is a ranking mechanism inside this model, not an absolute market-wide score. A higher score means a zone has accumulated more structural weight within the selected settings; it does not guarantee a reaction. Like any chart tool based on pivots, the behavior of the script depends on the chosen timeframe, the selected sensitivity inputs, and the structure of the instrument being analyzed. Lower timeframes can create more noise, while higher timeframes can produce fewer but broader zones. The EQ Magnet line is a contextual midpoint reference only. It should not be interpreted as a fixed target, a required destination, or a directional forecast. Risk Disclosure This script is a visual analysis tool for chart study and trade planning. It is not financial advice, not an execution system, and not a promise of future price behavior. Liquidity zones can fail, be overrun, or be ignored by price entirely. No indicator should be used in isolation. Traders should consider market structure, volatility, risk management, execution quality, and their own process before making trading decisions. Always test settings carefully and use position sizing appropriate to your own risk tolerance.
مؤشر Pine Script®
من ‎AGProLabs‎
3
AG Pro Structure Labels [AGPro Series]AG Pro HH HL LH LL Structure Labels Overview / What it does AG Pro HH HL LH LL Structure Labels is a clean market-structure reader built to simplify price action without turning the chart into a wall of signals. Its core purpose is straightforward: identify confirmed swing highs and swing lows, classify them as HH, HL, LH, or LL, and connect those points in a visually readable structure path so traders can understand the current sequence of price development at a glance. Many market structure tools try to do too much at once. They mix structure, signals, zones, pattern scoring, and trade suggestions into a single publication, which can make the chart heavier and the analytical purpose less clear. This script takes the opposite route. It focuses on one job only: making confirmed swing structure easier to read, follow, and interpret in real time as the chart evolves. That design choice is what gives this script its value. Instead of asking the user to interpret disconnected highs and lows manually, the script builds a visible structure chain from confirmed pivots and labels each important step. The result is a chart that remains visually disciplined while still communicating trend continuation, structural weakening, and flow transitions in a simple and repeatable format. This script is especially useful for traders who want structure clarity before they bring in any other layer of analysis. It can be used as a standalone structure map, or as a first-pass chart-cleaning tool before applying other concepts such as support and resistance, trend continuation logic, pullback analysis, breakout validation, or discretionary execution rules. Unique Edge The unique edge of this script is not that it attempts to predict where price will go next. Its strength is that it organizes confirmed structure in a way that is visually clean, logically consistent, and immediately usable on live charts. Unlike many AG Pro scripts that are built around event detection, confluence scoring, price-zone visualization, setup quality filtering, or breakout logic, this publication is intentionally narrower and more focused. It is not a BOS/CHoCH event detector. It is not a liquidity-sweep model. It is not an order-block or fair-value-gap engine. It is not a breakout-quality, retest-quality, or pattern-quality scorer. It is also not a fixed reference-level tool such as a prior-day or prior-week high/low mapper. This script is a structure readability tool first and foremost. That distinction matters. Previous AG Pro releases often revolve around a specific trading event: a sweep, a break, a retest, a zone reaction, a continuation pattern, or a multi-factor confluence state. This script does not begin from an event. It begins from the swing chain itself. It asks a simpler question: what is the current sequence of confirmed highs and lows, and what does that sequence imply about market flow right now? Because of that, the script fills a different role in the broader AG Pro library. It is closer to a structural map than a setup engine. It helps answer whether the chart is still printing constructive highs and lows, whether the sequence has started to weaken, or whether the structure is now leaning in the opposite direction. That makes it useful both on its own and as a foundation layer beneath other tools. Another important differentiator is presentation discipline. The structure path provides continuity between pivots, while the label set communicates classification without unnecessary chart clutter. The compact floating HUD reinforces the current flow state without dominating screen space. Together, these choices make the script visually premium while keeping the chart readable. Methodology The script uses a confirmed pivot framework. Swing highs and swing lows are identified using left and right lookback parameters selected by the user. Because pivots require confirmation, labels appear only after the structure point is confirmed by the specified number of bars. This helps reduce noise and keeps the structure map grounded in confirmed rather than speculative swing points. Once a new pivot high is confirmed, it is compared with the prior confirmed pivot high. If it exceeds the previous confirmed high, it is classified as HH. If it does not, it is classified as LH. The same logic applies on the low side: if a confirmed pivot low is above or equal to the previous confirmed pivot low, it is classified as HL; if it is lower, it is classified as LL. The script also includes an ATR-based structure filter. This filter is designed to suppress micro-swings that are too small relative to current volatility, which helps maintain visual cleanliness on choppier charts. Instead of drawing every minor fluctuation, the script attempts to keep attention on swings that are more structurally meaningful for the selected sensitivity. A structure path, shown as a clean zigzag line, connects the confirmed pivots that pass the filter. This gives the user an immediate visual map of the sequence rather than a collection of isolated labels. In practice, this is one of the most useful parts of the script because it turns the market’s swing progression into a readable path. The floating HUD summarizes the current market-flow bias in a minimalist format. It is not intended to act as a trade signal. Its job is to provide a quick structural read so the user can see whether the recent chain is leaning bullish, bearish, or transitional according to the internal swing logic. Signals & Alerts This script is not designed as a one-click entry engine. Its alerts are structural, not predictive. The publication includes alerts for newly confirmed HH, HL, LH, and LL prints, which can help users monitor structure development without staring at the chart continuously. It also includes alerts for structure-flow transitions when the internal trend state turns bullish or bearish. These alerts are best understood as workflow alerts. They tell the user that structure has progressed into a new confirmed condition. They do not guarantee continuation, reversal, breakout success, or trade profitability. Their purpose is to improve awareness of structural change, not to replace independent analysis. Key Inputs Pivot sensitivity is controlled through left and right lookback values. Higher values usually produce fewer but more mature structure points, while lower values usually produce a faster and denser structure map. The ATR filter can be enabled to reduce insignificant swings. This can be particularly helpful on lower timeframes or during periods of uneven, noisy price movement. Users can also control whether the structure path is drawn and can adjust the visual typography for labels and HUD elements. These inputs allow the script to stay visually flexible across different chart styles and screen densities. How this script differs from other AG Pro scripts This distinction is central to the publication. Many AG Pro scripts are built to evaluate the quality of a setup. They may score breakouts, retests, continuation patterns, reversal candles, pressure conditions, or confluence states. Others are built around zones and reactions, such as supply-demand mapping, premium-discount logic, fair value gaps, order blocks, or support-resistance behavior. Others focus on structural events such as BOS/CHoCH changes, liquidity sweeps, inducement traps, or session-specific reactions. This script does none of those things. It does not measure the quality of a signal. It does not score a setup. It does not project targets. It does not identify fixed daily or weekly reference levels. It does not try to map every institutional concept on the chart. It does not attempt to be an all-in-one decision engine. Instead, it provides a cleaner foundation: confirmed HH, HL, LH, and LL sequencing with a filtered structural path and a compact market-flow summary. That is precisely why it is different from the previous AG Pro script as well. If the previous release was anchored to fixed price levels, event detection, or context-specific reactions, this script is anchored to swing continuity. If another AG Pro script answers where price reacted, where a sweep occurred, whether a breakout was strong, or whether a setup deserves a quality score, this one answers a more basic but highly important question: what is the confirmed structure chain doing right now? In that sense, this script is less about trading events and more about structural readability. Limitations & Transparency This script uses confirmed pivots, which means it is not attempting to label unconfirmed structure in advance. As a result, there is an intentional delay equal to the confirmation logic chosen by the user. That delay is not a flaw; it is part of the design tradeoff required to avoid premature structure labels. Like any pivot-based structure tool, output will vary depending on sensitivity settings, timeframe, market volatility, and symbol behavior. A lower sensitivity may reveal more swing detail but can also make the map denser. A higher sensitivity may create a cleaner structure path but may respond more slowly to local shifts. The ATR filter is a visual-cleanliness tool, not a universal truth engine. It can help reduce noise, but different traders may prefer different levels of structural compression depending on how aggressively or conservatively they define meaningful swings. This script should also not be interpreted as a complete trading plan. It does not include position sizing, stop placement, target selection, execution logic, or market-specific risk rules. Users should combine it with their own framework, testing process, and judgment. Risk Disclosure This script is for analytical and educational use. It is not financial advice, investment advice, or a recommendation to buy or sell any instrument. Market structure is an interpretive framework, not a guarantee of future price behavior. A bullish sequence can fail, a bearish sequence can reverse, and a clean structural print can still occur inside a broader context that changes the meaning of the move. Always use independent judgment, apply appropriate risk management, and evaluate the script in the context of your own market, timeframe, and process. Summary AG Pro HH HL LH LL Structure Labels is built for traders who value structural clarity over indicator overload. Its role in the AG Pro catalog is distinct: it is not an event hunter, not a zone engine, and not a quality scorer. It is a clean structure reader designed to make confirmed swing progression easier to see, easier to follow, and easier to integrate into a disciplined chart workflow. If your goal is to understand whether price is still producing constructive highs and lows, whether that chain is weakening, or whether the flow has shifted into a different structural condition, this script is designed for exactly that task.
مؤشر Pine Script®
من ‎AGProLabs‎
3
SENTINEL SHIFT ViprasolOverview The Sentinel Shift is an original market structure and trend analysis indicator that combines Kaufman Adaptive Moving Average (KAMA) for trend detection with Break of Structure (BOS) and Change of Character (CHoCH) identification for institutional market structure shifts. It is designed for traders seeking clear trend confirmation on all timeframes, from scalping to swing trading. How It Works Core Trend Engine (KAMA) Sentinel Shift uses Kaufman Adaptive Moving Average (KAMA) as its foundation. KAMA is a self-adjusting moving average that measures directional efficiency: ER = abs(close - close ) / sum(abs(close - close ), n) fastSC = 2.0 / (fast + 1) slowSC = 2.0 / (slow + 1) SC = (ER * (fastSC - slowSC) + slowSC)^2 KAMA = KAMA + SC * (close - KAMA ) KAMA responds dynamically to market conditions: - When price moves efficiently (trending), the efficiency ratio approaches 1.0, causing KAMA to use faster smoothing constants and hug price more closely - When price chops (ranging), the efficiency ratio approaches 0.0, causing KAMA to use slower smoothing and filter noise Trend Detection The current trend is determined by comparing close to KAMA: - BULLISH: close > KAMA - BEARISH: close < KAMA Preset Configurations (Fast / Default / Smooth) Three built-in presets auto-tune KAMA parameters for different timeframes: Fast Preset (optimized for 1-15 minute scalping): KAMA Length: 6 Fast Smoothing: 2 Slow Smoothing: 20 Default Preset (balanced for swing trading): KAMA Length: 10 Fast Smoothing: 2 Slow Smoothing: 30 Smooth Preset (optimized for position/daily trading): KAMA Length: 16 Fast Smoothing: 2 Slow Smoothing: 40 Pivot Detection The indicator detects swing highs and lows using configurable lookback periods (pivLeft and pivRight): pivHigh = ta.pivothigh(high, pivLeft, pivRight) pivLow = ta.pivotlow(low, pivLeft, pivRight) These pivot points form the reference levels for structure breaks. Market Structure Tracking Sentinel Shift maintains a continuous market structure state (bullish, bearish, or forming) by tracking the most recent swing high and swing low. A structure variable records the current directional bias: structTrend = 1 (bullish), -1 (bearish), or 0 (neutral) Break of Structure (BOS) A BOS is a directional continuation that breaks a recent swing level within the same trend: Bullish BOS: price closes above the most recent swing high while structTrend >= 0 Bearish BOS: price closes below the most recent swing low while structTrend <= 0 When a BOS fires, the indicator draws a dashed line at the structural level with a "BOS" label, and the signal is available as an alert condition. Change of Character (CHoCH) — Trend Reversal A CHoCH signals a reversal of trend direction — price breaks through the opposing structure level. To filter false signals, CHoCH requires a configurable number of BOS events to have fired first in the previous trend direction (BOS Required Before CHoCH Flip). For example, setting this to 1 requires at least one BOS in the prior trend before a CHoCH can flip the structure. When a CHoCH fires, the indicator: - Draws a solid line at the structural level with a "CHoCH" label - Updates structTrend to the new direction - Resets BOS counters for the new trend - Generates a trend reversal signal (triangular plotshape at KAMA +/- 0.5 ATR) Visualization KAMA Line and Cloud Fill - The KAMA line is plotted in the current trend color (bullish green / bearish red) - A cloud fill extends between close and KAMA, providing visual depth of the trend Bar Coloring - All candles are colored by the trend (bullish green / bearish red), making trend direction immediately obvious Target Pivot Lines - The most recent swing high and low are drawn as horizontal lines (default gray) - When price closes above/below these levels, the lines change color and stop extending forward Dashboard A real-time table displays: - Trend (BULLISH / BEARISH indicator) - Price vs KAMA (ABOVE / BELOW) - Market Structure (BULL STRUCT / BEAR STRUCT / FORMING) - BOS status (last event flagged) - CHoCH status (last event flagged) - Signal status (BUY / SELL / NONE from the trend reversal detection) - Color Mode (CLASSIC / CUSTOM) - Version The dashboard is repositionable (Top Right, Top Left, Bottom Right, Bottom Left) and resizable (Tiny, Small, Normal). Key Features - Kaufman Adaptive Moving Average (KAMA) with self-adjusting smoothing based on directional efficiency - Three preset timeframe configurations (Fast, Default, Smooth) for quick adaptation to scalping, swing, or position trading - Market structure detection with configurable pivot lookback periods (pivLeft, pivRight) - Break of Structure (BOS) identification with dashed level lines and labels - Change of Character (CHoCH) detection with solid level lines and trend reversal signals - Configurable BOS requirement before CHoCH flip (filters false reversals) - KAMA-anchored pivot target lines with color change on break-through - Cloud fill between close and KAMA for visual trend depth - Bar coloring by trend direction - Trend reversal signal (dual-layer triangular plotshape at location.absolute) - Real-time dashboard with trend, structure, BOS, CHoCH, signal status, and preset mode - Color preset selection (Classic green/red or Custom via color pickers) - Four alert conditions (Bullish Reversal, Bearish Reversal, Bull BOS, Bear BOS) with dynamic ticker/interval insertion - Full input groups with comprehensive tooltips for all parameters How to Use 1. Apply to a standard candlestick chart 2. Select a Preset (Fast for scalping, Default for swing, Smooth for position trading) 3. Adjust Pivot Left/Right bars for structure sensitivity (lower = more structures, higher = fewer/stronger) 4. Configure the BOS Required Before CHoCH Flip to filter whipsaw (default 0 = immediate reversal possible) 5. Watch for KAMA trend direction and monitor the dashboard for current structure state 6. Trade BOS events within-trend continuation 7. Trade CHoCH events as trend reversals 8. Use the pivot target lines as reference levels for price reversits Settings Calculation Parameters - Preset: Default, Fast, or Smooth — controls KAMA parameters for the selected timeframe - KAMA Length: efficiency ratio lookback (controls KAMA responsiveness) - Fast Period: KAMA fast smoothing constant (lower = faster KAMA in trends) - Slow Period: KAMA slow smoothing constant (higher = slower KAMA in ranges) Structure Settings - Pivot Left Bars: bars to the left for swing high/low detection - Pivot Right Bars: bars to the right for swing high/low detection - Show BOS: toggle BOS level lines and labels - Show CHoCH: toggle CHoCH level lines and labels - Show Trend Reversal Signal: toggle triangular reversal markers - Max Structure Levels: maximum number of BOS/CHoCH lines retained on chart - BOS Required Before CHoCH Flip: number of BOS events required before trend can reverse via CHoCH Target Lines - Show Pivot Lines: toggle last swing high/low reference lines - Pivot Line Color: color of the target lines - Pivot Line Width: line thickness (1 = thin, 2 = medium, 3 = thick) - Pivot Line Style: Solid, Dashed, or Dotted Visualization Settings - Color Preset: Classic (green/red) or Custom (enables color pickers) - Show Cloud Fill: toggle the cloud between close and KAMA - Color Candles: toggle bar coloring by trend - Show KAMA Line: toggle the KAMA plot - Bull Color: custom bullish color picker (if preset is Custom) - Bear Color: custom bearish color picker (if preset is Custom) Dashboard Settings - Show Dashboard: toggle the dashboard table - Position: Top Right, Top Left, Bottom Right, or Bottom Left - Size: Tiny, Small, or Normal Alerts Four alert conditions with dynamic message insertion ({{ticker}}, {{exchange}}, {{interval}}): 1. SS — Long: Bullish CHoCH reversal signal 2. SS — Short: Bearish CHoCH reversal signal 3. SS — Bull BOS: Break of structure in bullish direction 4. SS — Bear BOS: Break of structure in bearish direction Limitations & Disclaimer - Sentinel Shift is an analytical tool, not a trading system. Always use proper risk management - KAMA and pivot detection work on historical data; intra-bar updates may vary - Structure detection depends on accurate pivot identification — results vary with timeframe and pivot sensitivity settings - This indicator is best used on liquid instruments (stocks, forex, crypto, indices) where order flow is reliable - Past performance does not guarantee future results. This is not financial advice. Credits & Attribution Sentinel Shift is an original indicator created by Viprasol. All logic — KAMA adaptive engine, pivot detection, BOS/CHoCH classification, structure tracking with configurable BOS requirement, reversal signal generation, dashboard layout, and alert conditions — is original work developed specifically for multi-timeframe market structure analysis.
مؤشر Pine Script®
من ‎viprasol‎
AG Pro ICT Confluence Score Dashboard [AGPro Series]AG Pro ICT Confluence Score Dashboard Overview / What it does AG Pro ICT Confluence Score Dashboard is a panel-first decision support tool built to evaluate whether multiple ICT-style conditions are aligning at the same time. Instead of focusing on a single event in isolation, the script converts several contextual factors into a structured confluence model so traders can quickly assess whether the current environment is weak, building, or high-conviction. The dashboard tracks a stack of evidence that includes sweep activity, imbalance interaction, block retests, structure shifts, premium/discount location, trap context, session context, higher-timeframe alignment, freshness, and conflict. Those components are summarized into core and effective scores, then translated into a clean bias/state panel. An optional chart layer can display signal tags and a lightweight halo only when stronger threshold conditions are met. This script is designed for traders who prefer structured context over isolated triggers. It does not attempt to replace discretion, and it is not presented as a one-click signal engine. Its purpose is to help users evaluate whether multiple factors are working together in the same direction, or whether the current picture is mixed and should be treated more cautiously. What makes the script practical is that it reduces chart-reading friction. A trader can still inspect sweeps, gaps, blocks, structure, and location manually, but the dashboard helps organize that information into a readable hierarchy. This makes it easier to separate random activity from environments where several pieces of evidence are beginning to align. Unique Edge The distinctive feature of this script is not that it detects one ICT concept better than every other tool. Its edge comes from treating multiple ICT-style events as parts of a single evidence framework. The dashboard does not simply list conditions; it scores them, weighs context, and highlights whether the active side remains clean or is facing meaningful opposition. That means the script is less about finding a single pattern and more about measuring alignment quality. A sweep without supportive structure is different from a sweep followed by structure, location support, and a fresh contextual trigger. A gap touch inside a neutral area is different from a gap touch that appears inside a stronger directional stack. By organizing these relationships into a dashboard, the script gives the user a more structured read on what is happening now. This also separates it from single-purpose tools. AG Pro ICT Confluence Score Dashboard is not a standalone liquidity sweep script, not a standalone FVG script, not a standalone order block script, and not a standalone session indicator. It is a meta-layer built to evaluate whether several pieces of market evidence are converging into a more coherent setup environment. Methodology The model begins with a set of factor states derived from recent chart structure. Confirmed pivot swings are used to define recent highs and lows. From there, the engine evaluates conditions such as sweep events, structure breaks, imbalance zones, block interaction, premium/discount location, and trap-style sequences. Each factor can become active for a limited validity window instead of remaining relevant indefinitely. The script then builds a core score for bullish and bearish context separately. Session logic can add a directional bonus when the active side is aligned with the configured session window. After that, contextual adjustments are applied through higher-timeframe alignment, freshness, and conflict logic. This produces an effective score that attempts to reflect not only how many factors are present, but whether they are present in a cleaner and more supportive sequence. The dashboard then translates that information into a readable structure: Bull/Bear core values, effective score, net bias, score bar, conflict read, Why Now summary, Sequence summary, and factor-by-factor status rows. The idea is to help the user see both the headline state and the underlying reasons behind it. Signals & Alerts The optional chart signals are intentionally restrained. They are meant to mark stronger score states rather than call every minor condition. Signal tags can appear when the configured score threshold is reached, and the visual layer can be limited so the chart stays readable. Available alert logic is based on state transitions rather than promotional claims. The script can notify when bullish or bearish confluence crosses the configured threshold, when high confluence is entered, and when that state is lost. This keeps the alert structure deterministic and easier to interpret in a workflow. Key Inputs Swing Length controls the pivot sensitivity used by the structure engine. Factor Validity Window defines how long a detected event can continue to contribute to the stack. Trap Confirmation Window controls how tightly sweep and structure events must cluster to qualify as trap context. Freshness Window helps determine whether the active side is still recent enough to deserve extra weight. Conflict Penalty Threshold defines when opposing evidence becomes meaningful enough to reduce the active side. Alert Threshold sets the effective score level required for stronger signal conditions. HTF Timeframe and HTF EMA Length define the higher-timeframe directional filter. Session controls allow users to enable or disable London, New York, and Asia windows. Dashboard and visual controls manage panel position, theme, text size, signal tags, and halo behavior. Limitations & Transparency This script is a context model, not a prediction model. A high score does not guarantee continuation or reversal, and a low score does not mean price cannot move aggressively. The dashboard only summarizes the relationship between the conditions it measures. Some components rely on confirmed pivot logic. Because pivot confirmation needs bars on both sides, certain structure-related states become available only after that confirmation exists. This is a design choice intended to keep the model structured, but it also means some events are inherently delayed relative to raw price movement. The script is also selective by design. It does not attempt to represent every possible ICT interpretation, and it does not replace chart reading, risk control, or execution planning. Users should treat it as a decision-support framework that helps organize evidence, not as a substitute for a full trading process. Risk Disclosure This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a solicitation to buy or sell any financial instrument. Trading involves risk, and users should rely on their own analysis, risk management, and judgment before making decisions.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro BOS & CHoCH Auto Detector [AGPro Series]AG Pro BOS & CHoCH Auto Detector OVERVIEW / WHAT IT DOES AG Pro BOS & CHoCH Auto Detector is a market structure overlay designed to organize swing-based price action into a more readable workflow. Instead of leaving the chart covered with disconnected pivot labels or generic break markers, this script tracks structural swing progression, identifies when prior highs or lows are broken, and classifies those breaks as either BOS (Break of Structure) or CHoCH (Change of Character). The goal is not to predict the next move, but to help traders read whether price is continuing an existing structure or beginning to challenge it. The script monitors HH, HL, LH, and LL development using pivot logic, then uses those reference points to detect structural breaks. A break in the direction of the active structure is treated as BOS, while the first meaningful break against the prior directional structure is treated as CHoCH. This distinction matters because many charts show every break in the same visual language, even though continuation and character shift do not carry the same analytical meaning. Here, those events are separated clearly. A second layer of usefulness comes from presentation discipline. This script is built to keep structural information visible without turning the chart into a wall of labels. Swing density can be reduced, major structures can be emphasized, and the higher timeframe overlay can remain active in the background to keep local execution aligned with broader structure. The result is a structure map that stays informative without becoming visually noisy. This tool is intended for traders who already use price structure as part of their chart reading and want a cleaner way to monitor continuation versus transition. It can support discretionary workflows around trend continuation, pullback analysis, structure failure, and higher timeframe context, while still remaining transparent about how its signals are formed. UNIQUE EDGE Many market structure tools stop at plotting swing points or printing BOS / CHoCH text when a level is crossed. AG Pro BOS & CHoCH Auto Detector is built around a more organized structure engine approach. Its edge is not based on trying to forecast direction or force trade entries. Its edge is based on classification, hierarchy, and chart readability: - It separates continuation breaks from character-change breaks instead of treating all structural violations as equivalent. - It preserves the swing chain context behind each event, so BOS and CHoCH are not isolated labels detached from surrounding structure. - It allows confirmation mode selection, so the user can decide whether structure breaks require close confirmation or can react to intrabar violations. - It includes higher timeframe structure context directly on the chart rather than forcing the user to reconstruct that context manually. - It includes swing-density controls so the visual output can be kept clean even when structure is active. This makes the script less like a simple labeling utility and more like a workflow layer for structure-based chart reading. METHODOLOGY 1) Swing Structure Detection The script uses pivot-based highs and lows to identify structural reference points. Those pivots are then classified into HH, HL, LH, and LL sequences, allowing the chart to reflect whether structure is strengthening, weakening, or transitioning. 2) BOS Logic When price breaks a prior structural level in the direction of the active trend, the event is labeled as BOS. In practical terms, this represents structural continuation rather than directional reversal. 3) CHoCH Logic When price breaks against the previously established directional structure, the event is labeled as CHoCH. This is treated as a possible character shift, not as a guaranteed reversal. It highlights that the prior structure has been challenged. 4) Confirmation Mode Users can choose whether structure breaks are confirmed by candle close or by intrabar price action. Close mode is more conservative and can reduce noise. Intrabar mode is more responsive and may show earlier breaks. 5) Higher Timeframe Overlay An optional MTF layer allows the script to bring higher timeframe structure context onto the active chart. This can help users avoid reading local swings in isolation when broader structure is still dominant. 6) Visual Hierarchy The script uses horizontal structure levels, event labels, optional arrows, controlled swing density, and a compact information panel to keep key structure events readable. The design priority is to preserve analytical clarity. SIGNALS & ALERTS This script can generate structure-based alerts for the following event types: - Bullish BOS - Bearish BOS - Bullish CHoCH - Bearish CHoCH - Any structure break These alerts are event-driven and tied to the script's structural logic. They are intended to notify the user when a relevant break occurs according to the selected confirmation mode. They are not trade instructions and should be interpreted within the user's broader process. KEY INPUTS Swing Pivot Length Controls pivot sensitivity. Lower values detect swings faster but may produce more noise. Higher values are more selective. Confirmation Mode Choose between Close and Intrabar logic for structure break confirmation. Max Structures to Show Limits how many structural events remain plotted on the chart. Swing Label Density Lets users choose between fuller swing annotation and a cleaner major-structure view. Max Swing Labels on Chart Helps prevent excessive label build-up in active market conditions. Enable MTF Overlay Adds higher timeframe structure context to the active chart. MTF Timeframe Defines which higher timeframe structure layer is projected onto the chart. Label Size / Panel Font Size / Line Settings Allow visual tuning without changing structural logic. LIMITATIONS & TRANSPARENCY This script uses pivot-based structure logic. That means swing points are confirmed only after the required pivot bars are completed. Because of this, the tool is confirmation-based by design and does not attempt to label unfinished pivots as confirmed structure. BOS and CHoCH are structural events, not certainty statements. A CHoCH may signal that the prior directional structure is being challenged, but it does not guarantee a lasting reversal. Likewise, a BOS indicates continuation within the script's structural framework, but not guaranteed follow-through. The higher timeframe overlay is designed to add context, not to replace direct higher timeframe chart review. Users should still interpret local and higher timeframe structure together rather than relying on a single signal state. This script is best used as a structure-mapping tool within a broader analytical framework. It is not a standalone trading system, not a predictor, and not a substitute for risk management. RISK DISCLOSURE This indicator is for chart analysis and educational use. It does not provide financial advice, does not guarantee outcomes, and should not be treated as a complete trading methodology on its own. Market structure tools can help organize price action, but all trading decisions remain the responsibility of the user.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro Order Block Reaction Quality [AGPro Series]AG Pro Order Block Reaction Quality OVERVIEW / WHAT IT DOES AG Pro Order Block Reaction Quality is an overlay tool designed to organize how price interacts with displacement-origin order block zones. The script identifies the last opposite candle before a strong impulsive move, projects that candle as a bullish or bearish order block, and then tracks whether price later respects, reacts to, or invalidates that zone. The goal is not to treat every order block as equally important. Instead, the script focuses on reaction quality. When price revisits a tracked zone, the script evaluates the behavior around that revisit and converts the response into a structured quality score. This helps separate zones that produce cleaner reactions from zones that fail, weaken, or transition into breaker behavior. The indicator is built as a chart-organization tool, not as a prediction engine. It is intended to help users study where impulsive moves originated, how later revisits behaved, and whether those revisits showed clean rejection, weak response, or invalidation. In that sense, the script is less about drawing boxes and more about mapping reaction structure around previously important displacement areas. Because order block concepts are often displayed in a highly subjective way, this script uses deterministic conditions to reduce ambiguity. Impulse detection, order block selection, reaction-window scoring, and breaker conversion all follow rules-based logic. The objective is to make price interaction around those zones easier to inspect, compare, and review across different market conditions. UNIQUE EDGE Many order block tools focus mainly on detection. They draw a bullish or bearish block, then leave the interpretation to the user. This script adds an evaluation layer on top of that detection process. Rather than only asking where an order block exists, it also asks how convincingly price reacted when that zone was revisited. That difference matters. Two zones may look similar at first glance, but the quality of the revisit can be very different. One revisit may reject cleanly and preserve the zone, while another may penetrate deeply, stall, or fully invalidate. By assigning reaction scores and grade-style labels, the script helps organize those differences visually. The script also distinguishes active order blocks from breaker behavior. If a previously tracked zone is invalidated, the visualization shifts from standard order block context into breaker context. This adds structural continuity to the chart and helps users see when an old reaction area has lost its original character. In practical use, the unique edge is the combination of three layers: impulsive-origin zone detection, revisit-based reaction scoring, and breaker-state continuity. Together, those layers aim to give traders a cleaner framework for studying order block behavior than a simple box-drawing approach. METHODOLOGY 1) Impulse detection The script first searches for strong directional candles whose range is large relative to ATR and whose move exceeds a recent breakout threshold. This is used as a rules-based approximation of displacement or impulsive participation. 2) Order block definition Once an impulsive move is detected, the script searches backward for the last opposite candle inside a configurable lookback window. That candle becomes the source order block. Depending on settings, the zone can be projected using the full candle range or the candle body only. 3) Zone persistence and revisit tracking After a zone is created, the script tracks whether price later trades back into it. That first interaction is important because it provides the data needed to evaluate how the revisit behaved. 4) Reaction quality scoring When price revisits the zone, the script measures the behavior inside a reaction window. The score is based on factors such as entry precision into the zone, the magnitude of rejection away from the zone, structural integrity of the zone during the test, and the strength of the originating impulse. Those components are combined into a normalized score. 5) Grade translation The raw score is then translated into a visual grade tier. This is meant to improve chart readability and allow faster comparison between zones that produced stronger versus weaker reactions. 6) Breaker conversion If price invalidates a zone after it has been engaged, the script can treat that structure as a breaker block. This keeps prior structural context on the chart instead of simply removing it. 7) Visual organization Bullish zones, bearish zones, and breaker structures are displayed with separate color families so users can distinguish standard order block context from post-invalidation context more quickly. SIGNALS & ALERTS The script includes alerts for newly detected bullish and bearish order blocks. These alerts are event-based and are intended to mark when a new candidate zone has been identified according to the script’s internal impulse and source-candle rules. In addition, the visual state of the chart provides three broad categories of information: - Active bullish or bearish order blocks that remain structurally valid. - Breaker blocks that represent previously tracked zones after invalidation. - Quality-scored reactions that help compare the strength of revisits. These states should be interpreted as structural context, not as standalone trade instructions. A bullish order block on the chart does not guarantee a long setup, and a bearish order block does not guarantee a short setup. The script is designed to help users study reaction behavior around important zones, not to replace execution rules, risk management, or broader market context. KEY INPUTS ATR Length Controls the volatility baseline used in impulse sizing and reaction calculations. Impulse Size (x ATR) Defines how large a move must be, relative to ATR, before it is treated as an impulsive displacement event. OB Search Bars Back Controls how far back the script looks for the last opposite candle that becomes the source order block. Zone Mode Lets the user choose whether zones are based on the full candle range or the candle body only. Max Zones Tracked Limits how many zones remain in memory and on the chart. Zone Max Age (Bars) Removes older zones after a defined number of bars so the chart does not grow indefinitely cluttered. Reaction Window (Bars) Defines the number of bars used to evaluate how price behaves after a zone is revisited. Zone Extend (Bars) Controls how far zones project into the future for chart visualization. Show 50% Midline Displays an internal midpoint inside the zone for users who want an additional internal reference. Show Impulse Markers Shows or hides impulse-origin markers on the chart. Label Size Controls the size of chart labels. Panel Theme / Panel Font Size / Panel Position These settings control the visual appearance and placement of the information panel. LIMITATIONS & TRANSPARENCY Order block analysis is inherently interpretive, and any script that formalizes it must impose strict rules. That means the script’s logic is intentionally selective. It will not match every discretionary order block definition used by every trader. The script uses a specific rules-based approximation of impulse, source candle selection, revisit handling, and reaction scoring. As a result, some zones that a discretionary analyst might manually highlight will not appear, while some zones shown by the script may not align with every subjective framework. Reaction quality is also dependent on the configured reaction window and the selected volatility context. Changing settings can change how aggressive or conservative the script becomes. For that reason, the indicator should be treated as a structured analytical model rather than an objective statement of market truth. Breaker behavior shown by the script reflects the script’s invalidation logic only. It does not imply that a breaker block will necessarily act as support or resistance in the future. It simply preserves structural history after the original order block state is lost. This indicator does not use volume profile, order flow, DOM data, or external market microstructure feeds. All calculations are derived from chart data available inside Pine Script. RISK DISCLOSURE This script is for chart analysis, research, and educational use. It does not provide financial advice, investment recommendations, or guaranteed outcomes. No indicator can reliably predict future price movement on its own. Order block reactions may fail, clean-looking zones may break, and high scores do not ensure continuation or reversal. Market context, liquidity conditions, volatility regime, timeframe selection, and execution quality all matter. Users should test settings carefully, apply independent judgment, and use appropriate risk management. This script should be treated as a decision-support tool for studying price interaction around displacement-origin zones, not as a standalone trading system.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro ORB Quality [AGPro Series]AG Pro Opening Range Breakout Quality OVERVIEW / WHAT IT DOES AG Pro Opening Range Breakout Quality is a session-structure indicator built to evaluate how price behaves around the Opening Range rather than treating every early breakout as equally meaningful. The script defines an Opening Range from a user-selected session window, locks that range when the session window ends, and then tracks whether price breaks above or below that range with constructive follow-through, delayed expansion, weak continuation, retest acceptance, or failure back into the range. Instead of acting like a simple breakout marker, this tool is designed to help organize the sequence that often matters most after the range is formed: range construction, first directional break, follow-through quality, retest behavior, acceptance, and failed continuation. This makes it more useful for traders who want a structured way to study whether the market is truly accepting price outside the Opening Range, or only probing beyond it temporarily. UNIQUE EDGE Most Opening Range tools focus mainly on drawing the range and marking the first break. This script is designed to go one step further by grading the quality of that break and the quality of post-break behavior. Its main edge is not the box itself. Its edge is the attempt to classify whether the move is: clean, good but delayed, weak, accepted after retest, or rejected back into the range. That makes the script conceptually different from a generic breakout overlay and also different from a broad market-structure or break-retest map. This indicator is specifically anchored to the Opening Range and to the behavior that follows that range. METHODOLOGY 1) Opening Range Construction The script builds an Opening Range from the chosen session window and stores: - range high - range low - optional midpoint 2) Break Detection After the range is locked, the script scans for the first qualified directional break within a defined search window. 3) Quality Engine Once a break appears, the script evaluates it using a rules-based scoring framework. The score can incorporate factors such as: - displacement beyond the range - body efficiency versus wick behavior - timing of the break relative to the range lock - optional relative volume context - directional alignment versus a moving average reference - post-break extension quality - retest depth and retest acceptance 4) State Transition Logic The script then maps price behavior into structured states such as: - Building Range - Watching Break - Bull Break Detected - Bear Break Detected - Bull Acceptance - Bear Acceptance - Failed Back In - Range Expired 5) Visual Organization The chart can display the Opening Range, the active acceptance zone, and projected target levels so that the user can visually compare the range location, the active accepted area, and nearby expansion references. SIGNALS & ALERTS The script can generate alerts for: - break events - acceptance events - failure events These alerts are intended to notify the user when a defined state transition occurs under the script's internal rules. They should be treated as workflow events, not as standalone trading instructions. KEY INPUTS Opening Range - Session Label - Opening Range Session - Timezone - Engine Timeframe - Range Extension Bars - Show Midline Quality Engine - Late Break Threshold - Acceptance Confirmation Bars - Break Search Window - Failure Tolerance - Relative Volume Length - Use Volume in Score Projected Targets - Show Targets - T1 / T2 / T3 - Target Multipliers - Target Ray Width - Target Label Style Style - Theme - State Labels - Background Tint - Label Size - Label Mode - Hero OR display - Acceptance Ribbon - Minimal OR Tag - Right-side layout controls Panel - Panel Position - Panel Font Size - Score Meter HOW THIS SCRIPT IS DIFFERENT This script is not meant to be a general-purpose support/resistance map, and it is not meant to be a broad break-retest engine applied to every chart structure. Its scope is narrower by design. The entire logic is centered on the Opening Range and what happens immediately after that range is established. Because of that, the script is more session-specific and more sequence-specific than many broader structure tools. It is also not a plain "Opening Range breakout = signal" overlay. A break can still be weak, late, accepted after retest, or rejected back into the range. That distinction is the core of the script. LIMITATIONS & TRANSPARENCY This is a rules-based interpretation tool, not a predictive model. The score is an internal quality estimate derived from the script's selected factors and thresholds. It should not be treated as an objective market truth. Opening Range behavior can vary significantly by instrument, volatility regime, session participation, and timeframe. A configuration that is useful on one symbol may not behave the same way on another. Projected targets are reference expansions based on the script's range logic. They are not guarantees, forecasts, or required destinations. Retest and acceptance behavior are also dependent on the selected engine timeframe. Lower engine timeframes may capture more detail, while higher ones may smooth some intrabar behavior. Users should review settings carefully and test the script on the instruments and sessions they actually follow. WHAT IT IS NOT This script is not: - a guarantee of breakout continuation - a promise that every accepted break will trend - a substitute for independent risk management - a standalone reason to enter or exit a trade - financial advice RISK DISCLOSURE This indicator is provided for educational and analytical use. All trading involves risk. Markets can reverse quickly, fail to follow through, or invalidate a setup even when a breakout initially looks constructive. Use the script as a structured chart-reading aid, not as a certainty engine. Position sizing, stop placement, execution quality, liquidity conditions, and broader market context remain the user's responsibility. If you use alerts, projected targets, or the quality score in a workflow, they should be interpreted within a broader decision process rather than in isolation.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro Moving Average Ribbon Stress Meter [AGPro Series]AG Pro Moving Average Ribbon Stress Meter Overview / What It Does This indicator is designed to read the internal condition of a moving-average ribbon rather than treating the ribbon as a simple trend overlay. Instead of asking only whether the ribbon is bullish or bearish, it asks a different question: is the ribbon structurally calm, starting to load, becoming strained, or losing internal order. The script builds a six-line moving-average ribbon, measures how those averages interact with each other, and converts that interaction into a stress framework. The result is a visual map that helps show whether the ribbon is organized, stretched, unstable, or resetting after stress. In practical terms, the script is built to help users evaluate ribbon quality, internal synchronization, and the degree of structural pressure inside the moving-average stack. It is not intended to forecast future prices, call tops or bottoms, or replace broader market analysis. Its purpose is to organize what the ribbon is doing now and how stable or unstable that structure appears to be. The chart output combines multiple layers: the ribbon itself, a central stress spine, edge bands, optional stress aura, event labels, and a compact status panel. Together, these elements aim to make the ribbon easier to interpret without requiring the user to manually inspect every moving average line on every bar. Unique Edge Many ribbon-style tools focus on directional bias, crossovers, or broad expansion and contraction. This script focuses on internal ribbon stress. Its main distinction is that it does not treat all ribbon trends as equal. A ribbon can be rising while still carrying internal disagreement. A ribbon can also look compressed or visually clean while underlying alignment, slope behavior, width dynamics, or price stretch are beginning to deteriorate. This script is built to surface those conditions. The goal is not to reduce the market to a single signal. The goal is to provide a structured visual read on whether the moving-average stack is operating in a calm state, a loaded state, a strained state, or a more unstable condition. That makes it more useful as a workflow tool than as a simple trend-colour overlay. Another point of differentiation is presentation. The script uses a ribbon-focused visual design so that the user can read internal condition directly from the chart. Focus modes, theme presets, stress spine layering, and a compact panel are included to keep the display informative without turning the chart into a dense dashboard. Methodology The script evaluates ribbon condition through five stress components. 1) Order Stress This measures whether the moving averages are stacked cleanly or whether their order is becoming mixed. Lower stress suggests cleaner structural order. Higher stress suggests more internal disorder. 2) Slope Dispersion Stress This evaluates how consistently the moving averages are sloping together. When the ribbon lines are moving with similar directional agreement, synchronization is stronger. When their slopes diverge, internal stress rises. 3) Width Instability Stress This tracks whether the ribbon width is behaving in a stable or unstable way. A ribbon can widen in an orderly way or in a more erratic way. This component attempts to distinguish between those conditions. 4) Curvature Stress This evaluates bending in the ribbon core. Strong changes in ribbon curvature may indicate increasing internal pressure or transition. 5) Price Stretch Stress This measures how far price is moving from the ribbon core relative to ribbon width and ATR-based normalization. This is not a directional claim. It is a structure-based distance measure. These components are weighted and blended into a smoothed Stress Score. That score then feeds the state engine. Primary states include Calm, Loaded, Strained, Critical, Fractured, and Recovery. The panel and visual styling use those states to summarize the ribbon condition at the current bar. Signals & Alerts This script is built around state transitions and structural events rather than buy/sell promises. Depending on settings, users may see event labels and alerts such as: Stress Build Shows that stress has crossed into an early loading phase. Strained Shows that the ribbon has moved into a more stressed internal state. Critical Load Highlights a higher-pressure condition where instability has become more meaningful. Ribbon Fracture Marks a stronger structural failure condition when stress and ribbon order deterioration align. Stress Reset Shows that a previously elevated stress condition has cooled enough to register recovery. Order Restored Highlights improvement in ribbon order after disorder had been present. These events are not trade instructions. They are context markers intended to help users track shifts in ribbon condition. Alerts should be interpreted together with market structure, timeframe context, volatility, and personal risk management. Key Inputs Source and MA Type The ribbon can be built from different moving-average types and data sources. Ribbon Lengths Users can define the six ribbon lengths to fit their preferred structure and timeframe. Stress Engine Inputs ATR length, slope lookback, width lookback, curvature lookback, smoothing, and component references allow users to calibrate how sensitive the stress model should be. Weights The script includes separate weights for order stress, slope dispersion, width instability, curvature stress, and price stretch stress. Thresholds Loaded, Strained, Critical, and Fracture thresholds can be adjusted for tighter or looser state transitions. Theme Presets and Focus Mode Theme presets and focus modes allow the ribbon to be displayed in different visual styles while preserving the same logic. Events and Panel Users can control label density, label spacing, marker visibility, and panel position. Limitations & Transparency This script is an interpretation framework built around moving-average relationships. It does not know future price movement, and it does not claim certainty. Like any model built on smoothed market data, it will react more slowly in some environments and may produce fewer useful transitions in others. Different assets and timeframes can produce different ribbon personalities. A threshold or weight set that feels balanced on one market may feel too sensitive or too quiet on another. Users should expect to adapt settings if they move between instruments with very different volatility or trend behavior. The stress model is also deliberately selective. It does not try to label every fluctuation or classify every candle. Its purpose is to organize ribbon condition, not to describe every possible market state. This indicator should also not be confused with a complete trading plan. It does not define entries, exits, position sizing, or account risk. It is best used as a structural context tool inside a broader workflow. Risk Disclosure This script is for chart analysis and educational use. It is not financial advice, investment advice, or a promise of outcome. No indicator can guarantee performance, remove risk, or eliminate false readings. Market conditions change, correlations shift, and trend behavior can weaken or reverse without warning. Any decision taken from this script should be made within a broader framework that includes price structure, liquidity, volatility, timeframe alignment, and risk control. Users are responsible for testing settings, understanding the limitations of moving-average tools, and deciding whether the information produced by the script fits their own process.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro Chaikin Money Flow Pressure [AGPro Series]AG Pro Chaikin Money Flow Pressure Overview / What it does AG Pro Chaikin Money Flow Pressure is a chart-overlay indicator built to translate Chaikin Money Flow behavior into a more structured view of buying and selling pressure on the price chart itself. Instead of presenting CMF only as a standalone oscillator around a zero line, this script converts money-flow behavior into visible pressure zones, a backbone line, selective event labels, and a compact decision panel. The goal is to make pressure conditions easier to read in context with price rather than in a separate pane. The script is designed to help users judge whether positive or negative money-flow pressure is merely appearing, becoming more persistent, expanding with price support, or losing quality. In practical terms, it focuses on how pressure behaves through time, not only on whether CMF is above or below zero on a single bar. This distinction is important because many CMF readings are technically positive or negative while still being structurally weak, transitional, or unstable. This publication is an indicator, not a strategy. It does not place orders, does not simulate broker execution, and does not claim to predict future price direction. Its purpose is to organize CMF-derived pressure information into a chart-readable framework that can be used for analysis, filtering, or confluence with a user’s existing process. Unique Edge The distinctive design choice in this script is that it treats Chaikin Money Flow as a pressure-structure input rather than as a simple zero-cross oscillator. The script evaluates pressure using a combination of directional bias, persistence, slope behavior, and exhaustion characteristics, then maps those conditions into an overlay format. That makes it materially different from tools that focus primarily on: - classic CMF zero-line interpretation, - MFI-style overbought/oversold framing, - OBV-style cumulative flow interpretation, - divergence-first logic, - or trend/momentum tools that derive most of their signal from price structure rather than money-flow persistence. Within the broader AG Pro catalog, some scripts are centered on momentum, reaction quality, divergence behavior, or trend-state interpretation. This one is specifically built around CMF-derived pressure persistence. In other words, it is less about identifying a single trigger event and more about showing whether accumulation or distribution pressure is building, holding, fading, or reverting toward balance. Methodology The script begins with the standard Chaikin Money Flow foundation: money flow is derived from the close’s location within the bar range and weighted by volume across the selected CMF lookback. That raw series can then be smoothed to reduce short-term noise. From there, the script classifies pressure through several layers: 1) Bias Positive and negative CMF conditions establish the directional pressure side. This is the base layer, but it is not used alone. 2) Persistence The script tracks how long positive or negative pressure has been maintained. Short-lived readings are treated differently from more persistent runs. 3) Expansion The slope of the smoothed CMF series helps distinguish strengthening pressure from flatter or compressing conditions. 4) Exhaustion risk When pressure remains extended but begins to weaken internally, the script can shift into a fading or exhaustion-sensitive interpretation instead of treating every positive or negative reading as equally strong. These components are then summarized into: - a state, - a phase, - a pressure score, - a backbone-based pressure map, - and selective event labels. The overlay uses an EMA backbone and ATR-scaled zones to visualize where pressure is concentrated around price. Outer and core zones help separate broad pressure environment from tighter pressure concentration. A lightweight bridge effect is used to connect confirmed pressure conditions to price in a restrained way so the visual hierarchy remains readable. Signals & Alerts The script uses a state/condition framework rather than a direct buy/sell promise. Core states include: - Accumulation - Distribution - Balanced - Exhaustion Risk Phase interpretation includes: - Building - Holding - Fading - Neutral Selective chart labels are intentionally limited to higher-quality transitions such as: - ACCUM - DIST - FADE - FLIP Available alert conditions are designed around pressure behavior, not outcome guarantees: - Pressure Building - Pressure Holding - Pressure Weakening - Pressure Flip Risk - Accumulation Regime Confirmed - Distribution Regime Confirmed These alerts are best understood as structural notifications about pressure behavior. They are not instructions to enter or exit positions by themselves. Key Inputs Important settings include: - CMF Length: controls the main money-flow lookback. - CMF Smoothing: reduces noise in the base CMF series. - Neutral Band: defines when pressure is treated as balanced rather than directional. - Strong Pressure Band: helps scale the pressure score and zone intensity. - Exhaustion Band: helps identify stretched but weakening pressure conditions. - Persistence Confirmation Bars: sets how long pressure should persist before confirmation. - Backbone EMA Length: controls the central overlay structure. - ATR settings: control the width of the pressure zones. - Label filters and cooldowns: reduce repeated labels and keep the chart cleaner. These inputs allow users to make the script more responsive or more selective depending on timeframe, asset behavior, and chart density. Limitations & Transparency This script does not measure real order-book flow, exchange-specific footprint data, or trade-by-trade delta. It is a CMF-based analytical model built from OHLCV data available on TradingView. As with any derived indicator, its output depends on the quality and characteristics of the underlying market data. The pressure score is not a prediction score and should not be interpreted as a probability of success. It is a normalized summary of current pressure quality based on the script’s internal framework. A higher score means the current pressure structure is stronger by the script’s rules; it does not mean the next move is guaranteed. Like other pressure or flow-based tools, this script can become less reliable in choppy, thin, or event-driven conditions where pressure quickly alternates and persistence breaks down. It should also be expected that different assets and timeframes will respond differently to the same parameter set. Users should evaluate settings in the market context where they intend to use the indicator. This publication is meant to explain what the script measures and how it organizes that information. It is not presented as a black-box promise, and it is not intended to replace independent chart reading, risk control, or broader market context. Risk Disclosure This script is provided for educational and analytical use. It does not constitute financial advice, investment advice, or a solicitation to buy or sell any financial instrument. No indicator can remove uncertainty from markets, and no visual state, score, zone, or alert should be treated as a guarantee of future results. Users should make their own decisions, test their own process, and apply appropriate risk management. This tool is best used as a structured market-reading aid and as part of a broader analytical framework rather than as a standalone decision engine.
مؤشر Pine Script®
من ‎AGProLabs‎
1
AG Pro Aroon Trend Freshness [AGPro Series]AG Pro Aroon Trend Freshness OVERVIEW / WHAT IT DOES AG Pro Aroon Trend Freshness is an overlay indicator designed to map the lifecycle of a trend through the lens of Aroon recency. Instead of treating Aroon as a simple crossover oscillator, this script reorganizes Aroon behavior into a freshness framework that helps users distinguish between newly refreshed trends, still-active trends, aging trends, and reset or neutral phases. The core idea is straightforward: Aroon is naturally linked to recency because it measures how recently the market printed its highest high or lowest low within a selected lookback window. This script uses that characteristic to answer a more practical charting question: is the current directional structure still fresh, or is it starting to age? To make that information easier to read directly on price, the script plots a trend backbone on the chart and classifies the current state into lifecycle phases such as Ignition, Fresh Trend, Mature Trend, Aging, and Reset / Neutral. The result is not a buy/sell engine. It is a context layer designed to help users assess whether a directional move is still renewing itself or gradually losing freshness. This script is intended for traders and analysts who want a cleaner way to read trend recency without relying only on momentum, volatility, or moving-average distance. It can be used as a directional context tool, a state filter, or an additional confirmation layer when studying structure, pullbacks, continuation attempts, or exhaustion behavior. UNIQUE EDGE Most Aroon-based tools stop at directional interpretation, threshold crossings, or oscillator-style reading. AG Pro Aroon Trend Freshness takes a different path. It does not focus on standard crossover events as the primary message. Instead, it translates Aroon behavior into a trend-age map. That distinction matters. Two trends can both remain directional while having very different freshness profiles. One may still be regularly refreshing with new structural extremes, while the other may be drifting forward without meaningful renewal. This script is built to highlight that difference. The indicator is therefore not trying to measure everything at once. It does not attempt to replace trend strength tools, volume tools, volatility tools, market breadth tools, or correlation tools. Its job is narrower and more specific: to visualize whether directional structure is being refreshed, maintained, aged, or reset. METHODOLOGY The script starts from classic Aroon logic, which evaluates how recently the highest high and lowest low occurred within a user-defined lookback. From there, the script derives a directional bias and a freshness profile. The directional side of the model evaluates which side currently dominates the lookback structure. The freshness side evaluates how recent and how persistent that dominance is, whether it is accelerating, stabilizing, or decaying, and whether the market is showing signs of reset rather than continuation. To make the output easier to interpret on a live chart, the script organizes that information into lifecycle states: - Ignition: a newly refreshed directional phase where recency improves sharply. - Fresh Trend: an active directional state with strong freshness characteristics. - Mature Trend: a still-valid trend state where freshness remains constructive but is no longer in its earliest phase. - Aging: a state where directional structure may still exist, but freshness has started to decay. - Reset / Neutral: a state where the previous directional freshness has weakened enough that the structure becomes less directional or less renewed. The backbone and glow are visual aids, not forecasts. They are designed to make state transitions easier to see without forcing the user to inspect raw oscillator values. Panel statistics such as Trend Age Score, Refresh Pulse, Reset Risk, and Last Refresh Bars Ago are also contextual measures. They help summarize the current lifecycle condition, but they should not be interpreted as guarantees or as standalone trade instructions. SIGNALS & ALERTS The script can be used to monitor lifecycle transitions rather than raw directional triggers. In practical use, users may watch for situations such as: - a move entering Ignition after a reset phase, - a trend remaining in Fresh Trend while structure continues to refresh, - a shift from Fresh or Mature conditions into Aging, - an increase in reset risk after an extended directional phase. These state changes can be useful when analyzing pullback quality, continuation attempts, or exhaustion risk. However, the script is not intended to predict future price movement on its own. Alerts should be treated as structured notifications about state changes, not as automatic trade commands. KEY INPUTS - Aroon Length: controls the recency lookback window used by the freshness model. - Confirmation / Filtering Settings: help reduce noise and make state transitions more selective. - Label and Visual Settings: allow users to manage the amount of chart annotation. - Panel Settings: control how lifecycle information is displayed on the chart. Shorter settings generally make the model more reactive, while longer settings usually make it more selective and smoother. Users should adapt these inputs to the symbol, timeframe, and charting style they are working with. LIMITATIONS & TRANSPARENCY This script does not measure profitability, expectancy, or trade performance. It does not know position size, account risk, execution quality, slippage, spread, or portfolio context. It also does not replace market structure analysis, support/resistance work, volume interpretation, or higher-timeframe review. Because the model is built on recency logic, it can react differently across instruments and regimes. Choppy markets may produce frequent state shifts. Strong trends may remain constructive longer than expected. Very low-volatility or highly erratic symbols may also affect how smoothly lifecycle states appear. Users should understand that this indicator is designed to classify trend freshness, not to promise reversals, continuations, or outcomes. It is best used as a chart-reading framework that complements a broader process. RISK DISCLOSURE This indicator is for chart analysis and educational use. It is not financial advice and it does not provide guaranteed signals or future performance expectations. All trading and investing decisions involve risk. Users should evaluate markets with their own judgment, risk controls, and testing process before acting on any chart-based observation.
مؤشر Pine Script®
من ‎AGProLabs‎
1
AG Pro Volume Profile Acceptance Ladder [AGPro Series]AG Pro Volume Profile Acceptance Ladder Overview / What it does AG Pro Volume Profile Acceptance Ladder is a volume-structure indicator designed to monitor whether price is building acceptance, holding acceptance, or losing acceptance inside a rolling volume-defined band. Instead of treating volume profile as a static reference snapshot, this script tracks acceptance as a progressive process. The goal is not to predict where price must go next, but to help the user read whether the market is spending enough time and participation inside a value zone to justify calling that area accepted. The script builds a rolling profile window, estimates the active acceptance band, and then classifies current behavior into states such as Probe, Build, Accept, Shift Watch, Shift Confirmed, and Fail. This creates a ladder-style framework for reading when the market is stabilizing within one value region and when that acceptance may be migrating toward another region. In practice, that makes it useful for users who want a structured way to distinguish temporary interaction from more durable volume-based acceptance. A key design goal of this script is to separate acceptance progression from simple attraction-to-level logic. Some tools are built around whether price is pulled back toward a reference such as a POC or another central level. This script focuses on a different question: is the market actually building and holding acceptance inside a rolling value zone, and is that acceptance stable enough to be treated as an active auction area rather than a temporary touch. Because of that framing, the indicator is best read as a market-structure context tool. It maps an evolving acceptance zone, estimates a directional ladder bias, and provides state transitions that can be used to organize chart reading, scenario planning, or alert workflows. It is not an execution engine, not a broker-grade order book product, and not a substitute for independent trade management. Unique Edge The distinguishing feature of this script is that it treats acceptance as a staged process rather than a single level event. The output is not limited to a profile center or a value-area drawing. Instead, the script evaluates how price behaves relative to a rolling volume-defined band and converts that behavior into a progression model. That matters because a market can interact with a value area in very different ways. It can briefly probe it, begin building around it, hold it in a more stable manner, shift acceptance upward or downward, or fail to maintain acceptance altogether. By organizing those conditions into a ladder of states, the script attempts to make the auction process easier to read in real time. This also makes the indicator materially different from a standard POC-centered interpretation. The emphasis here is not on magnetic pull toward one volume reference. The emphasis is on whether acceptance is forming, strengthening, or migrating. In that sense, the script is better understood as an acceptance progression map than as a simple volume anchor display. Methodology The script uses a rolling lookback window and distributes bar-based volume across a defined number of bins in order to approximate a local volume profile. From that rolling profile it derives the active central reference, the current acceptance band, and the relative participation of that band within the profile window. Using those profile components, the script calculates several internal measures. These include how often price remains inside the band over a recent hold window, how often price re-enters the band after leaving it, how stable the band center is relative to recent values, and whether the active center appears to be migrating in a meaningful way. These measures are then blended into an aggregate acceptance score and a ladder bias. The state engine uses those components to classify behavior into the following progression states: - Reject - Probe - Build - Accept - Shift Watch - Shift Confirmed - Fail These states should not be read as guarantees of continuation or reversal. They are condition labels describing how the script currently interprets interaction with the active acceptance band. Signals & Alerts The script includes deterministic state-based alerts so users can build workflows around changes in acceptance conditions. Available alert events: - Acceptance Building - Acceptance Confirmed - Upward Ladder Migration Confirmed - Downward Ladder Migration Confirmed - Acceptance Failed - Acceptance Lost These alerts are designed to reflect state transitions inside the indicator logic. They do not imply expected profitability, win rate, or directional certainty. Key Inputs - Profile Window: Defines the rolling lookback used for the local profile estimate. - Bin Count: Controls the profile resolution. - Value Area %: Defines how much of the rolling profile volume is used to construct the active acceptance band. - Migration Sensitivity: Controls how easily the script classifies center shifts as migration activity. - Probe Band Multiplier: Expands the outer interaction zone around the active acceptance band. - Hold Lookback: Defines the window used for hold and re-entry style calculations. - Theme / Panel Location / Panel Font Size / Label Font Size: Presentation controls for chart readability. - Show Previous Acceptance Band / Show State Markers / Forward Extension Bars: Visual controls for context and labeling. Limitations & Transparency This script does not use exchange-native tick-by-tick volume profile data. It uses a bar-based approximation built from the information available to Pine Script on the chart. As a result, the acceptance band and profile structure shown by the indicator should be interpreted as a model of local volume distribution, not as a perfect reconstruction of exchange-level auction detail. The ladder states are also model outputs, not objective market facts. Small changes in lookback, resolution, or volatility regime can influence how the script classifies the same area. Users should therefore treat the states as structured analytical context rather than as standalone instructions. The indicator is also not intended to replace broader market analysis. Trend structure, liquidity conditions, volatility regime, higher-timeframe context, and instrument-specific behavior can all affect how useful an acceptance reading is in practice. Risk Disclosure This script is for chart analysis and educational use only. It does not provide financial advice, investment advice, or trade recommendations. All markets involve risk, and no indicator can guarantee outcome, timing, or future performance. Users should apply independent judgment, test settings carefully, and use risk management appropriate to their own methodology. What this script is not - It is not a promise of continuation or reversal. - It is not a broker-grade volume profile engine. - It is not a substitute for execution planning or risk control. - It is not a claim that acceptance automatically leads to trend persistence.
مؤشر Pine Script®
من ‎AGProLabs‎
1
AG Pro Pivot Cluster Survival Map [AGPro Series]AG Pro Pivot Cluster Survival Map Overview / What it does AG Pro Pivot Cluster Survival Map is an overlay tool that evaluates the durability of nearby pivot clusters rather than focusing on a single pivot reaction. The script groups Daily, Weekly, and Monthly Classic Pivot levels when they compress into the same price neighborhood, then measures how well that cluster has held up under repeated interaction. The goal is not to label every pivot touch as strong or weak. The goal is to show whether a pivot-derived zone has continued to absorb pressure, remain structurally relevant, or lose stability over time. This makes the script suitable for users who want to monitor confluence-based pivot structure instead of isolated one-bar reactions. The visual model is intentionally compact. The script highlights the nearest upper cluster and the nearest lower cluster, assigns a survival score to each side, and displays a pressure readout for the dominant active zone. The result is a map of pivot-cluster durability, not a generic support/resistance overlay and not a simple reaction detector. Unique Edge The distinguishing feature of this script is its focus on pivot-cluster survival. Many pivot tools concentrate on one level at a time. Many reaction tools classify the immediate response after a touch, reclaim, or rejection. This script approaches the problem differently. It asks whether multiple pivot levels from different higher timeframes are compressing into the same zone, and whether that zone is still surviving repeated market interaction. That difference matters. This script does not score a single bounce. It does not try to predict a reversal from one isolated pivot event. It evaluates whether a pivot cluster remains durable after tests, inside-zone pressure, breaches, and time spent without structural failure. Within the AG Pro catalog, this script is materially different from AG Pro Pivot Points Reaction Map. Pivot Points Reaction Map is centered on reaction quality at pivot levels. Pivot Cluster Survival Map is centered on cluster durability, confluence density, and survival under pressure. In other words, one evaluates the response; the other evaluates the staying power of the pivot cluster itself. It is also different from broader level-survival or support/resistance tools because the source engine here is explicitly pivot-derived. The script is built around Daily, Weekly, and Monthly Classic Pivot families, then transformed into a confluence-survival framework. Methodology The current version uses Classic Pivot calculations from higher timeframes. 1. Daily, Weekly, and Monthly pivot levels are collected. 2. Nearby pivot levels are grouped into clusters when they fall within the active cluster width. 3. The script selects the nearest upper cluster and the nearest lower cluster relative to current price. 4. Each selected cluster is evaluated with a survival model. The survival model is based on factors such as: - cluster density - higher-timeframe participation - repeated tests - rejection behavior - inside-zone pressure - breach frequency - time since structural failure A higher survival score suggests that the cluster has remained more durable under recent interaction. A higher pressure reading suggests that the cluster is experiencing more structural stress. The chart display is intentionally selective. Instead of plotting every pivot line independently, the script concentrates on the nearest relevant clusters and presents them as zones with a backbone line and state label. This is designed to keep the structure readable. States / Signals The script uses state-based interpretation rather than directional promises. Typical state classifications include: - Stable - Strengthening - Balanced - Under Stress - Fragile - Failed These states are derived from the relationship between survival and pressure. They are meant to describe the condition of the cluster, not to issue a guaranteed trading outcome. The panel summarizes: - nearest upper cluster - nearest lower cluster - dominant survival side - cluster pressure - pivot mix currently included in the model The script can also generate alert conditions for: - cluster strengthening - cluster failure - cluster reclaim behavior These alerts are deterministic conditions derived from the script logic. They are informational and should be interpreted within a broader market workflow. Key Inputs Pivot Formula This version is intentionally limited to Classic Pivots in order to keep the clustering and scoring model consistent. Include Daily / Weekly / Monthly These settings control which higher-timeframe pivot families are included in the cluster engine. Cluster ATR Width Controls how aggressively nearby pivot levels are merged into the same cluster using ATR-based spacing. Cluster Percent Width Adds a percentage-based width floor so clusters remain practical across different price scales. Minimum Levels Per Cluster Controls how many pivot levels are required before a true cluster is recognized. Survival Lookback Defines the observation window used for the durability calculations. Visual Controls The script includes settings for cluster visibility, labels, backbone lines, panel location, and font sizes. Limitations & Transparency This script is a structural reading tool. It is not a prediction engine. A high survival score does not guarantee that price will reverse, hold, or trend from that area. A low survival score does not guarantee immediate failure. The values should be read as condition metrics for pivot-derived zones. Because the script groups pivot levels into clusters, output can vary depending on volatility, symbol characteristics, and timeframe context. On some symbols, one side may show a stronger cluster than the other. On some charts, one side may temporarily rely on a weaker fallback anchor when cluster density is limited. This script does not attempt to replace market structure analysis, higher-timeframe context, liquidity analysis, or risk management. It is intended to organize pivot confluence into a readable survival framework. What this script is not: - not a buy/sell signal engine - not a guarantee of support or resistance - not a standalone trade system - not a future-price prediction model Risk Disclosure This script is for chart analysis and decision support only. It does not provide financial, investment, or trading advice. Markets can move unpredictably, and no indicator can eliminate risk. Users should evaluate signals, states, and cluster conditions together with their own process, timeframe alignment, and risk controls before making any decision.
مؤشر Pine Script®
من ‎AGProLabs‎
1
AG Pro Correlation Breakdown Map [AGPro Series]AG Pro Correlation Breakdown Map Overview / What it does AG Pro Correlation Breakdown Map is an overlay indicator designed to monitor whether a chart symbol is maintaining, weakening, breaking, or repairing its relationship with a benchmark symbol. The default benchmark in this version is Bitcoin via BINANCE:BTCUSDT, which makes the tool especially useful for crypto traders who want to understand whether an altcoin is still moving in line with BTC or beginning to decouple from it. This script does not attempt to answer whether correlation is simply high or low in isolation. Its purpose is more specific: it first checks whether a meaningful benchmark relationship existed, then evaluates whether that relationship is starting to deteriorate, whether the deterioration is becoming a confirmed breakdown, and whether the relationship is later stabilizing again. The result is a regime-style map that helps users read benchmark dependency through distinct states such as coupled, strained, breaking, broken, repairing, and recoupled. This makes the script useful for contextual analysis, benchmark-relative behavior studies, and chart review workflows where users want more than a single rolling-correlation number. Unique Edge The main difference of this script is that it is not a generic correlation line, not a spread-trading engine, and not a simple benchmark overlay. Its focus is the structure of relationship failure. Instead of only plotting short-term correlation, the script combines four layers: 1. prior relationship validation, 2. short-vs-long correlation deterioration, 3. independent price behavior, 4. persistence and repair logic. That combination is what separates a temporary wobble from a more meaningful benchmark breakdown event. This also makes the script distinct from tools that measure correlation pressure or synchronized stress. Correlation Breakdown Map is built around the question: “A relationship existed before, but is it now failing, and if so, how cleanly?” Methodology The script starts by selecting a benchmark series and transforming price data into returns. Users can choose between log returns and percent returns. A short correlation window and a long correlation window are then calculated between the chart symbol and the benchmark. The long window is used to judge whether a stable benchmark relationship has existed, while the short window is used to detect more recent deterioration. The model then evaluates the gap between long and short correlation, along with short-correlation slope behavior. A benchmark relationship is considered more vulnerable when the short window weakens materially relative to the long window and the short-correlation slope also softens. To avoid treating every statistical wobble as a true event, the script also checks for independent price behavior. This layer measures whether the chart symbol is beginning to move in a way that is meaningfully different from the benchmark over a configurable lookback period. Finally, persistence and repair conditions are applied. This allows the script to separate brief instability from a more durable breakdown state, and later identify whether the relationship is beginning to normalize again. Signals & Alerts / States This script is primarily a state-mapping tool rather than a directional buy/sell engine. The core states are: Coupled The chart symbol remains meaningfully aligned with the benchmark relationship structure. Strained The prior relationship still exists, but weakness is starting to appear. Breaking The relationship is under active deterioration and may be transitioning into a more meaningful failure. Broken The chart symbol is behaving as if benchmark linkage has materially weakened. Repairing The breakdown is no longer cleanly expanding, and the relationship may be stabilizing. Recoupled The benchmark relationship has improved enough to suggest that the prior structure is functioning again. The Breakdown Score is used as a compact summary value. It is not intended to be interpreted as a trade signal on its own. It is a regime-strength readout that helps users compare the current condition of the relationship with the underlying state labels. Key Inputs Benchmark Symbol Sets the comparison symbol. The default is BINANCE:BTCUSDT. Benchmark Timeframe Allows users to keep the benchmark on chart timeframe or compare against another timeframe. Source Selects Close, HLC3, or OHLC4 for the benchmark study. Short Correlation Length / Long Correlation Length Define the fast and slow windows used to evaluate current deterioration versus prior relationship structure. Stable Relationship Threshold Controls how strong the historical relationship must be before the script treats later weakness as a true breakdown candidate. Breakdown Threshold / Repair Threshold Control how strict the transition logic is for deterioration and recovery. Min Long/Short Correlation Gap Requires a meaningful difference between longer-term and shorter-term correlation before escalation. Independent Move Threshold Defines how much benchmark-relative price independence is required before the script treats the event as more than a statistical fluctuation. Breakdown Confirmation Bars / Repair Confirmation Bars Control persistence and confirmation sensitivity. Visual Settings Users can customize theme, visual intensity, panel font size, panel position, event visibility, trail visibility, and chart context density. Limitations & Transparency Correlation is a descriptive relationship metric, not a causal model. A relationship breakdown does not automatically imply immediate continuation, reversal, trend acceleration, or trade opportunity. It only means the chart symbol is no longer behaving as consistently relative to the selected benchmark under the current settings. Different assets, timeframes, and volatility regimes can produce different correlation behavior. A benchmark relationship that looks stable on one timeframe may be much less stable on another. Short lookbacks can react faster but may create more noise. Longer lookbacks can be more stable but slower to react. This script should be interpreted in the context of market structure, volatility, liquidity, and the chosen benchmark. It is a framework for reading relationship quality, not a guarantee engine. Risk Disclosure This indicator is for analytical and educational use. It does not provide financial advice, does not predict future price direction, and should not be used in isolation for trading decisions. Users should perform their own analysis, validate settings on the markets they follow, and apply appropriate risk management.
مؤشر Pine Script®
من ‎AGProLabs‎
1
AG Pro Support Resistance Reaction Map [AGPro Series]AG Pro Support Resistance Reaction Map Overview / What it does This indicator maps horizontal support and resistance zones from confirmed price structure, then evaluates how price reacts when it returns to those zones. Instead of treating every level touch as equally important, the script focuses on whether the interaction looks constructive, weak, or potentially broken. The core objective is to make structural reactions easier to read on-chart. Confirmed pivot highs and lows are converted into zones, nearby levels are merged, older levels can expire, and the chart prioritizes the most relevant active zones on each side of price. When price re-enters a zone, the script grades the reaction and can display labels such as Clean Hold, Sharp Reject, Soft Bounce, or Break Confirmed. This publication is designed as an indicator, not as an execution engine. It does not place trades, predict future returns, or guarantee that a level will hold. Its purpose is to help traders organize structural context and evaluate reaction quality in a more systematic way. Unique Edge Support and resistance is a classic concept, so the difference here is not the concept itself but the workflow built around it. This script is not a generic auto-drawing tool that tries to plot every possible line. It is a reaction map. The emphasis is on how price behaves inside a structural zone, not on covering the chart with as many levels as possible. The script differs from tools that are primarily centered on pivot formulas, breakout-retest grading, moving-average reclaim logic, or channel structure. Here, the focus is horizontal structural memory and the quality of the live interaction with that memory. In practice, that means the script is trying to answer questions such as: - Is this support still reacting constructively? - Is this resistance rejecting cleanly or absorbing pressure? - Is the latest touch just noise, or is it a more meaningful retest? - Which nearby intact levels still deserve attention right now? Another important distinction is the panel logic. The compact panel does not attempt to summarize all historical levels. It highlights the nearest intact support below price and the nearest intact resistance above price, along with their state, raw versus qualified touch count, and the latest recorded reaction. Methodology 1) Structural level detection Confirmed pivot highs and lows are used to create horizontal support and resistance zones. The script waits for confirmation rather than guessing unfinished pivots. 2) Zone construction Each level is converted into a zone using an ATR-based width. This keeps the plotted area adaptable instead of forcing the same fixed width on all markets and all volatility environments. 3) Merge logic Nearby levels of the same type can be merged when they fall within the selected merge distance. This helps reduce duplication and keeps the map cleaner. 4) Age and visibility control Older levels can expire, broken levels can be hidden or faded, and the script visually prioritizes the nearest intact zones. This is intended to improve readability rather than preserve every historical level forever. 5) Reaction scoring When price newly enters a live zone, the script evaluates the interaction using factors such as penetration depth, close location inside or outside the zone, candle body bias, impulse, and whether the touch is the first qualified retest. The result is translated into a reaction label and a quality score. 6) Touch accounting The script tracks both Raw and Qualified touches. Raw touches represent zone entries. Qualified touches are stricter and require a fresh entry plus cooldown spacing, which helps avoid counting clustered bars as repeated independent retests. Signals & Alerts The script can generate labels and alerts around the most important structural interactions. Main reaction labels: - Clean Hold - Sharp Reject - Soft Bounce - Break Confirmed - Failure Risk Main alert conditions: - Bullish Level Reaction - Bearish Level Reaction - Level Break Confirmed These labels and alerts are descriptive, not predictive. They summarize the current structural interaction detected by the script. They are not trade instructions and should not be interpreted as a promise of continuation or reversal. Key Inputs Levels - Pivot Strength - Maximum Active Levels - Zone Width (ATR Multiplier) - Merge Distance (ATR Multiplier) - Level Expiry (bars) Reaction Engine - Retest Cooldown (bars) - First-Touch Bonus - Keep Broken Levels Visible Visuals - Show Reaction Labels - Show Compact Panel - Visible Zones Per Side - Emphasize Nearest Levels - Show Soft Bounce Labels - Minimum Label Score - Minimum Bars Between Side Labels - Label Stagger (bars) - Broken Level Fade - Base Zone Opacity - Label Offset (ATR) - Label Size - Panel Text Size Panel - Panel Location - Panel Theme (Dark / Light) Limitations & Transparency - Pivot-based levels are confirmed after the selected pivot strength completes, so the script is intentionally reactive rather than anticipatory. - Zone width is ATR-based, which means the visual footprint of levels will change with volatility. - Raw and Qualified touch counts are intentionally different. Qualified touches are filtered by entry logic and cooldown, so they will usually be lower than raw counts. - The compact panel is selective. It shows the nearest intact support and the nearest intact resistance, not a full inventory of every level on the chart. - Visibility controls are designed to keep the chart readable. As a result, some valid but lower-priority levels may be de-emphasized or hidden from the main view. - Support and resistance remains interpretive by nature. No horizontal level works in isolation across all symbols, timeframes, or market regimes. Risk Disclosure This indicator is a chart-analysis tool. It is not a broker, a signal service, or an automated trading system. It does not provide investment advice and it does not guarantee that any level will hold, reject, or break in a particular way. All markets involve risk. Price can invalidate a structural zone quickly, especially during news events, regime shifts, or low-liquidity conditions. Use the script as one part of a broader decision process that includes market context, liquidity conditions, timeframe alignment, and risk management.
مؤشر Pine Script®
من ‎AGProLabs‎
1
AG Pro Correlation Stress Meter [AGPro Series]AG Pro Correlation Stress Meter Overview / What it does AG Pro Correlation Stress Meter is an overlay indicator designed to estimate when an instrument is becoming increasingly synchronized with a selected benchmark and whether that relationship is developing into a higher-stress market condition. Instead of treating correlation as a standalone number, this script converts multiple correlation-related components into a structured stress framework. The goal is not to predict direction. The goal is to help the user judge whether market behavior is becoming more tightly linked, more fragile, and potentially less independent than usual. The script combines smoothed rolling correlation, short-term correlation acceleration, persistence of elevated correlation, and a simple fragility layer based on price behavior versus an internal backbone EMA. The result is a normalized stress score and a state model that classifies conditions as Stable, Building, Pressured, Stressed, or Critical. Because the script is plotted directly on price, it is intended to function as a context layer. It can be used to evaluate whether a chart is trading in a relatively independent manner or whether it is increasingly behaving like a benchmark-driven instrument. Unique Edge The main difference in this script is that it does not treat correlation as a single readout. It treats correlation as a pressure structure. Many correlation tools stop at the raw coefficient. This script goes further by asking four separate questions: 1. How strong is the current relationship? 2. Is that relationship tightening or loosening? 3. Has elevated correlation persisted for long enough to matter? 4. Is price behavior becoming fragile at the same time? That combination is what makes this script different from many standard overlays, matrix-style correlation displays, or simple coefficient dashboards. It is also different from several other AG Pro scripts in the catalog. Some AG Pro tools focus on trend quality, pullback quality, squeeze behavior, reclaim structure, momentum pressure, or reaction mapping around known reference levels. This script does not focus on any of those themes. Its job is narrower and more diagnostic: it measures how much benchmark-linked stress is building inside the chart. In other words, it is less about trend or structure classification, and more about whether the instrument is becoming increasingly dependent on external benchmark behavior. Methodology The script starts with log returns for both the chart symbol and the selected benchmark symbol. A rolling correlation is then calculated over the chosen correlation window and smoothed to reduce noise. From there, the model evaluates four components: 1. Correlation strength This is the normalized level of the smoothed rolling correlation. Higher positive correlation generally contributes more to the final stress score. 2. Correlation velocity This measures how much the smoothed correlation has changed over a short lookback. A rising relationship can matter even when the absolute coefficient is not yet extreme. 3. Correlation persistence This evaluates how consistently correlation has remained above a user-defined threshold over a recent window. Short spikes and sustained linkage should not be treated as the same condition, so persistence is included as a separate layer. 4. Fragility layer This component looks at whether price is trading below the internal backbone EMA, whether short-term rate of change is weak, how stretched price is relative to the EMA, and whether ATR percentage is elevated. The purpose of this layer is not to predict reversals. Its purpose is to distinguish a calm, orderly correlation regime from a more fragile one. These components are weighted into a composite stress score, then mapped into five states: - Stable - Building - Pressured - Stressed - Critical The script also provides a backdrop layer, optional event labels, a backbone EMA for context, and a compact information panel. Signals & Alerts This script is primarily a state-classification and context tool. It is not a direct entry system and should not be interpreted as a standalone buy or sell engine. Available alert logic includes: - Stress Building - Stress Pressured - Stress Stressed - Stress Critical - Stress Cooling These alerts are designed to notify the user when the internal state model changes. They can be used to monitor regime transitions, benchmark sensitivity changes, or shifts in how tightly a symbol is tracking the selected benchmark. Practical interpretation examples: - Building may suggest that correlation-linked influence is starting to develop. - Pressured may suggest that the relationship is no longer background noise and is becoming relevant to decision-making. - Stressed may suggest that the symbol is trading with notable benchmark dependency. - Critical may suggest that benchmark-linked pressure is unusually elevated relative to the script’s internal framework. - Cooling may suggest that the prior stress state is easing. These are contextual interpretations, not trade instructions. Key Inputs Benchmark Symbol Selects the reference instrument used for the correlation calculation. Benchmark Timeframe Allows the benchmark series to follow the chart timeframe or use a different one. Correlation Length Defines the rolling window used for correlation. Correlation Smoothing Smooths the raw correlation series. Velocity Lookback Controls how quickly changes in correlation are measured. Persistence Window Defines how far back the script checks for sustained elevated correlation. Persistence Threshold Defines what the script considers “elevated” for persistence purposes. Fragility EMA Length Controls the internal backbone EMA used in the fragility layer and optional overlay line. Fragility ROC Length Defines the short-term price change measurement inside the fragility model. ATR Length Controls the volatility input used in the fragility model. Label Trigger State Sets the minimum state required before labels can appear. Minimum Bars Between Labels Reduces label clustering. Background From State Sets the minimum state required before the stress backdrop is shown. Label ATR Offset Controls how far event labels are plotted from price. Panel / Visual Inputs Allow control over panel visibility, panel position, panel theme, panel font size, label size, backdrop visibility, backbone visibility, and backbone label visibility. Limitations & Transparency This script is a contextual model, not a statement of causality. A high reading does not prove that the benchmark is causing the move. It only indicates that the symbol is trading in a way that is more tightly aligned with the selected benchmark according to the model inputs. Correlation is also regime-dependent. A symbol may appear highly linked during one period and much less linked during another. Different benchmarks, timeframes, and windows can produce different readings. The fragility layer is intentionally simple. It is included to refine the stress framework, not to replace full market structure analysis. Users who rely on this script should still examine trend structure, volatility context, liquidity conditions, and the behavior of the benchmark itself. This script also does not claim to identify tops, bottoms, crashes, breakouts, or future returns. It measures an internal definition of correlation-linked stress and presents that information visually. Risk Disclosure This indicator is for analytical and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes. No indicator can remove market risk. Correlation regimes can change quickly, benchmark relationships can decouple without warning, and any model based on historical data can fail in live conditions. This tool should be used as one part of a broader chart review process, not as a substitute for independent judgment, risk management, or position sizing discipline.
مؤشر Pine Script®
من ‎AGProLabs‎
2
AG Pro Volume Profile POC Magnet Map [AGPro Series]AG Pro Volume Profile POC Magnet Map Overview AG Pro Volume Profile POC Magnet Map is a chart-overlay indicator built around one practical question: how strongly is the current Point of Control attracting, holding, or losing price? Instead of trying to replicate a full volume-profile workstation, this script focuses on the behavior of the active POC and the surrounding value area. The goal is to turn a familiar volume-profile concept into a cleaner decision-support map that helps users judge whether price is still interacting with the current fair-value center, rejecting it, reclaiming it, or beginning to establish value elsewhere. The script is designed for users who want a visual framework around POC behavior without covering the chart with heavy histogram structures or overly complex dashboards. It highlights the active POC, the current Value Area High (VAH), the current Value Area Low (VAL), a compact magnet band around the POC, and a small set of reaction labels that describe how price is interacting with that area. In short, this indicator is not trying to tell users what to buy or sell. It is trying to make one specific market reference more readable: the relationship between price and the current POC region. What the script does At a high level, the script does five things: 1) It builds a fixed-lookback volume-distribution map from recent chart data. 2) It derives the active POC, VAH, and VAL from that distribution. 3) It measures how close price is to the current POC and how often price revisits or accepts that region. 4) It converts those observations into a compact Magnet Score and state readout. 5) It marks a small set of price/POC interaction events such as Tag, Reject, and Reclaim. The result is a visual tool that combines reference levels and contextual interpretation in one overlay. Unique edge Many indicators can show a POC. This script is built to answer a more specific question: what is the quality of the current POC as a magnet for price? That difference matters. A raw POC line can be useful, but by itself it does not explain whether price is repeatedly returning to it, drifting away from it, rejecting it, or stabilizing around it. This script adds that missing context by combining the active POC with a behavior layer. The design goal is not “more features.” The design goal is clearer interpretation: - Is price still accepting the current value center? - Is the POC functioning as a pullback magnet? - Is price rejecting the area instead of accepting it? - Is value beginning to migrate? That is the role of the score, the state engine, and the reaction labels. Methodology The script uses a fixed lookback window and divides the recent price range into user-defined bins. It then allocates each bar’s volume to one price bin using the selected bar source, which can be Close or HLC3. From that distribution it identifies: - POC: the highest-volume bin in the lookback window - VAH: the upper boundary of the selected value area percentage - VAL: the lower boundary of the selected value area percentage After the levels are derived, the script evaluates how price is behaving relative to the active POC region. The Magnet Score is built from multiple components: - Distance: how far current price is from the POC, normalized by ATR - Revisit behavior: how often price has returned to the POC region - Acceptance behavior: how often price has closed near the POC region - Stability: whether the POC is relatively stable or drifting quickly - Rejection pressure: whether interactions with the POC region are ending in rejection rather than acceptance These components are combined into a bounded 0-100 score. Higher readings suggest that the current POC remains a stronger center of attraction. Lower readings suggest weaker pull, weaker acceptance, or a market beginning to operate away from the current value center. The script then classifies context into states such as: - Magnet Strong - Magnet Active - POC Tagged - POC Rejected - Accepted Away - Magnet Weakening This state layer is designed to summarize the current context rather than generate automatic trading instructions. How to read the chart POC The POC is the main reference line. It marks the highest-volume price zone inside the selected lookback distribution. If price repeatedly returns to it, reacts from it, or consolidates around it, that line is functioning as an active center of interest. VAH and VAL VAH and VAL define the current value-area boundaries. These help users judge whether price is still operating inside value or beginning to establish acceptance above or below it. Magnet band The magnet band is a narrow region around the POC. It exists to make POC interaction easier to read visually. It is not a claim that every touch is meaningful. It is simply a compact visual tolerance zone around the active POC. Reaction labels The script can display a small set of event labels: - Tag: price reached the current POC region - Reject: price interacted with the area and moved away - Reclaim: price crossed back through the active POC after being on the other side These labels are meant to help describe interaction, not to replace confirmation logic, risk management, or broader market context. Panel The panel summarizes: - Magnet Score - POC Distance - POC Drift - Value Context - Last Reaction - Current POC / VAH / VAL values This gives users a quick status view without needing to inspect every line manually. Typical use cases This indicator may be useful when users want to: - monitor whether pullbacks are still returning to the active POC - judge whether price is still auctioning inside value or beginning to accept away from value - compare different symbols for how “sticky” the current POC region appears to be - add context to an existing structure, trend, or mean-reversion workflow - keep a cleaner chart while still tracking basic volume-profile behavior The script is intended as a context and interpretation layer. It is not a complete trading plan on its own. Key inputs Lookback Bars Controls the size of the historical window used for the profile calculation. A larger value creates a broader context. A smaller value makes the profile more reactive. Rows / Bin Count Controls profile granularity. Higher values create more detailed binning. Lower values produce a smoother, simpler map. Value Area % Defines how much of total lookback volume is included inside the value area used to derive VAH and VAL. Price Source For Bin Allocation Lets users choose whether each bar’s volume is allocated using Close or HLC3. This changes how the profile is distributed across bins. ATR Length Used in normalization and spacing calculations, including the distance component and label positioning. Magnet Band Width (ATR) Controls the thickness of the tolerance zone around the active POC. Distance Ceiling (ATR) Caps how far price can be from the POC before the distance component is treated as maximally weak. Revisit Window and Acceptance Window These affect how the script measures repeated interaction and acceptance around the active POC region. POC Drift Lookback Used to estimate whether the active POC is relatively stable or shifting. Label controls Users can adjust label visibility, density, cooldown behavior, and right-edge line labels to keep the chart cleaner or more descriptive depending on preference. Alerts The script includes alert conditions for: - POC Tag - POC Reject - POC Reclaim - Magnet Strong - Magnet Active - Magnet Weakening - Accepted Away These alerts are event-based notifications tied to the script’s contextual logic. They are not performance claims and they should not be interpreted as guaranteed entry or exit signals. Limitations and transparency This script uses a fixed-lookback, bar-based approximation of volume distribution. It does not reconstruct native exchange-level order flow, bid/ask delta, or true tick-by-tick auction detail. Volume is allocated to bins using a selected bar source rather than full intrabar volume-at-price reconstruction. That means the profile is intentionally simplified so it can remain lightweight and readable inside a standard Pine overlay. Because the script uses a rolling lookback window, the active POC, VAH, and VAL can change as older bars leave the window and newer bars enter it. That is normal behavior for this design. The reaction labels are descriptive, not predictive. A Tag does not imply reversal. A Reject does not guarantee continuation. A Reclaim does not guarantee trend resumption. They are context markers showing how price interacted with the current POC area according to the script’s definitions. This tool should be read in conjunction with price structure, volatility, liquidity conditions, and user-defined execution rules. What this script is not This script is not: - a full session volume-profile suite - an order-flow or footprint tool - a prediction engine - a guaranteed reversal detector - a stand-alone trade system It is a focused overlay for interpreting how price is behaving around the current Point of Control and value-area structure. Practical interpretation notes In many markets, the POC acts like a reference area rather than a directional signal. The more often price returns to it and the more often price stabilizes near it, the more useful that region can become as a working fair-value reference. By contrast, when price begins to hold above VAH or below VAL and stops interacting meaningfully with the POC region, the script may shift toward weaker magnet states or accepted-away context. That does not automatically imply trend continuation, but it does suggest that the current value center may be losing influence. Users may find this especially useful when comparing: - balanced conditions vs. directional conditions - shallow pullbacks vs. deeper value retests - symbols that keep rotating through value vs. symbols that are clearly accepting away from it Risk disclosure This indicator is for chart analysis and market context only. It does not provide investment advice, trading advice, or guaranteed outcomes. All indicators simplify market behavior. This script is no exception. Markets can ignore previously important value references, react differently across symbols and timeframes, and change behavior as volatility regimes shift. Users are responsible for their own confirmation process, execution decisions, and risk management.
مؤشر Pine Script®
من ‎AGProLabs‎
1
AG Pro KAMA Efficiency Zones [AGPro Series]AG Pro KAMA Efficiency Zones Overview KAMA stands for Kaufman’s Adaptive Moving Average. AG Pro KAMA Efficiency Zones is built around KAMA not as a simple trend-following line, but as an adaptive market reference for evaluating how efficiently price is moving. Instead of focusing only on direction, the script is designed to classify the quality of directional travel and separate cleaner movement from noisier, lower-clarity conditions. The core idea is straightforward: markets do not move with the same quality all the time. Some phases show relatively efficient directional travel where price stays organized around an adaptive path. Other phases become mixed, unstable, or reversion-prone, where direction weakens and noise becomes more dominant. This script is designed to map those changes visually through adaptive KAMA-based zones, state labels, and a compact panel that summarizes the current condition. This makes the tool structurally different from a basic moving average overlay. The objective is not to present KAMA as a one-line signal source. The objective is to use KAMA as the center of a state engine that helps users distinguish efficient trend phases from transitional or noisy environments. What this script does AG Pro KAMA Efficiency Zones evaluates price behavior around a Kaufman’s Adaptive Moving Average and organizes that behavior into visual market states. It does this by combining adaptive smoothing, slope behavior, distance from KAMA, and persistence around the KAMA path. The result is a chart framework that can help answer questions such as: • Is price moving in an efficient bullish or bearish path? • Is the market entering a mixed transition phase? • Has movement quality deteriorated into a noisier reversion-prone environment? • Is the adaptive path becoming stronger, weaker, or less stable? By turning those questions into zones and state-based chart feedback, the script aims to improve context rather than replace judgment. Unique edge The distinguishing feature of this script is that it does not treat KAMA as a standard moving average. Instead, it uses KAMA as the center of a layered efficiency model. That model focuses on the quality of movement, not just the existence of movement. Many tools emphasize momentum, volatility, volume pressure, or overbought/oversold conditions. This script is designed for a different purpose. It is a movement-quality map. It attempts to show whether price is traveling in a relatively efficient path or whether that path is degrading into a noisier condition where directional clarity may be weaker. This means the script is less about predicting a move and more about classifying the environment in which a move is taking place. How it works The script begins with KAMA, or Kaufman’s Adaptive Moving Average. KAMA is useful because it adapts its responsiveness according to market behavior. In cleaner directional phases it can respond more quickly, while in noisier phases it can become more conservative. That makes it a practical centerline for an efficiency-based state model. On top of KAMA, the script evaluates several components: 1. Efficiency behavior The script measures how directly price is moving relative to its recent path. This helps estimate whether price action is acting efficiently or becoming more erratic. 2. KAMA slope behavior The slope of KAMA is normalized so that directional angle can be evaluated in a more consistent way. Stronger and more persistent slope behavior supports higher-quality trend classifications. 3. Price-to-KAMA relationship Price position around KAMA helps determine whether movement is aligned with the adaptive path or drifting around it without clear structure. 4. Persistence The script also looks at how consistently price remains on one side of KAMA. That persistence can help distinguish a more stable move from a weaker and less durable one. These components are blended into a composite efficiency model that drives the active state and the corresponding visual zone. States and zones The script classifies market behavior into four main states: Efficient Bull Trend This state reflects a comparatively organized bullish environment where price and adaptive slope are aligned in a cleaner upward path. Efficient Bear Trend This state reflects a comparatively organized bearish environment where price and adaptive slope are aligned in a cleaner downward path. Transition This is a mixed condition. Direction may be weakening, changing, or failing to achieve the quality required for an efficient trend classification. Noise / Reversion This state reflects lower movement quality, weaker slope behavior, or a more unstable relationship between price and the adaptive path. The visual zone structure is designed to reinforce those classifications on the chart. Instead of using only one line, the script builds layered KAMA-centered bands so the user can read not only direction, but also how structured or fragile the current condition may be. How to read the chart The KAMA line is the adaptive spine of the script. The outer and inner bands represent zone structure around that adaptive path. In stronger trend states, the script increases the visual emphasis of the KAMA path and its supporting zone layers. In weaker or more mixed conditions, the script softens those visuals and allows the chart to communicate reduced clarity. State labels appear when the script confirms a meaningful shift in condition. These labels are intended to highlight a change in market state, not to promise a trade outcome. The on-chart panel summarizes the active reading using fields such as State, Efficiency, Score Band, Adaptive Bias, Active Zone, and Stability. This gives the user a compact interpretation layer without requiring every decision to be made directly from raw chart inspection. Key inputs KAMA Efficiency Length Controls the lookback used in the KAMA efficiency logic. Lower values react faster. Higher values smooth more noise. KAMA Fast Response and KAMA Slow Response Define the adaptive responsiveness range of the KAMA engine. ATR Length Used to normalize slope and distance so the tool behaves more consistently across different symbols and volatility conditions. KAMA Slope Lookback Controls how the script measures directional slope over time. Persistence Length Influences how much consistency price must show around KAMA before a move is treated as more structured. Efficient Trend Threshold and Noise Threshold These thresholds help determine when the model classifies a move as higher quality or lower quality. Zone Band ATR Width Adjusts the width of the adaptive visual zone. State Hold Bars Helps reduce rapid state flipping by requiring a condition to persist before the active state changes. Panel Font Size and Label Size Allow visual customization for different chart layouts and monitor sizes. Alerts The script includes state-oriented alerts intended to notify the user when market condition changes. These are designed around state transitions and movement-quality shifts rather than promotional “buy now” style messaging. Examples include bullish and bearish efficiency shifts, transition detection, noise-zone detection, efficiency recovery, efficiency breakdown, and trend strengthening. Alerts should be interpreted as contextual information. They are intended to support review and analysis, not to function as a standalone decision system. What this script is not This script is not a guarantee engine. It does not predict future price with certainty. It does not eliminate risk. It is not a substitute for broader market structure analysis, execution planning, or risk management. It should not be treated as a self-sufficient entry/exit system without additional confirmation and user judgment. Limitations and transparency All adaptive models are sensitive to parameter choices. Changing responsiveness, thresholds, smoothing, or persistence settings can materially affect the way states appear on the chart. Because the script is state-based, some shifts will naturally occur after the earliest turning point in price. That is part of the tradeoff involved in using confirmation and persistence to reduce noise. In highly erratic or news-driven conditions, classification can also become less stable. During those periods, transition or noise-oriented readings may occur more often, and users should interpret the visual output in that context. The script is best viewed as an analytical framework for movement quality and adaptive context, not as a promise of directional success. Practical use cases Users may find the script useful for: • separating cleaner trend phases from mixed or unstable phases • filtering chart environments before applying another workflow • evaluating whether direction is gaining or losing efficiency • adding adaptive context to discretionary analysis • comparing how different symbols behave around a KAMA-centered efficiency structure Risk disclosure This script is for analytical and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes. Market conditions can change quickly, and any indicator can produce false, delayed, or incomplete signals. Users remain responsible for their own decisions, validation process, and risk management. In short, AG Pro KAMA Efficiency Zones is designed to help read the quality of movement, not just the direction of movement. It uses KAMA as an adaptive reference point and converts that reference into a structured zone and state model so users can assess whether price behavior appears efficient, transitional, or noisy.
مؤشر Pine Script®
من ‎AGProLabs‎
1