Continuation

Gap Continuation Planner [AGPro Series]TITLE Gap Continuation Planner 🧠 Core Idea Is the active gap being accepted for continuation, or is it losing the structure needed for a clean plan? 📌 Overview / What it does Gap Continuation Planner is a chart-first gap planning tool built to evaluate what happens after a gap appears. Instead of treating every gap as an automatic fill candidate, it asks whether price is accepting the gap edge, following through away from the gap, and preserving a measurable defense line. The script produces a gap defense zone, a continuation corridor, an acceptance edge, a defense line, a target guide, compact labels, alerts, and a clean AGPro decision panel. The panel converts the live context into a 0-100 continuation score, fill-risk reading, and next-action state. It does not predict future price, automate trades, or tell the user to buy or sell. It organizes observable gap behavior into a more disciplined continuation-planning framework. 🎯 Purpose & Design Philosophy This script was built for traders who do not want to reduce every gap to a simple fill-or-fade idea. Many gaps initially look strong, but the important question is whether the market continues to accept the gap after the first reaction. Gap Continuation Planner focuses on that middle layer: gap acceptance, follow-through, volatility load, defense quality, fill pressure, and forward room. The design supports a planner mindset. The goal is to slow the decision process down and review whether the structure is valid enough to deserve attention. ⚡ Why This Script Is Different Most gap tools focus on gap detection, gap fill percentage, or historical gap zones. This script does NOT work as a generic gap-fill reaction tool, support/resistance map, imbalance catalog, or automatic signal generator. Instead, it treats the latest gap as a continuation planning object. The model studies whether price is accepting the continuation side of the gap, whether follow-through is developing, whether the defense line remains intact, whether fill risk is rising, and whether there is enough forward room for the plan to remain clean. ⚙️ Methodology 1. Context Detection The script detects classic opening gaps, wick gaps, body-separation gaps, and controlled continuation launch windows when adaptive mode is enabled. 2. Reference Mapping Each accepted gap creates a gap defense zone, an acceptance edge, a defense line, and a target guide. 3. Reaction Evaluation The engine scores gap size, open acceptance, follow-through, volatility load, fill risk, and forward room. 4. Visual Output The chart displays a centered gap-zone label, a centered continuation-corridor label, event labels, planner lines, and a compact AGPro panel. 🗺️ How to Read the Chart Zones = the detected gap defense area. Continuation corridor = the forward planning area between the accepted gap edge and target guide. Acceptance edge = the side of the gap that price should hold for continuation structure to remain stronger. Defense line = an ATR-buffered invalidation reference beyond the far side of the gap. Labels = state changes such as new gap, acceptance watch, continuation ready, defense review, or failed acceptance. Colors = bullish continuation context uses teal, bearish continuation context uses pink, watch states use indigo, and caution states use amber. Panel = summarizes gap state, continuation score, defense line, fill risk, and next action. 🚦 Signals & States • New Gap → a fresh gap continuation window has been detected. • Acceptance Watch → price is holding the continuation side of the gap, but follow-through still needs confirmation. • Continuation Ready → the gap has stronger acceptance, follow-through, room, and risk structure. • Defense Test → price is retesting the gap edge or defense area. • Fill Risk → the gap is being penetrated enough to reduce continuation quality. • Gap Failed → the active gap has lost continuation acceptance. 🔔 Alerts Logic Alerts trigger when a new gap continuation window appears, when the gap reaches READY state, when acceptance watch begins, when defense review becomes relevant, or when gap acceptance is lost. Alerts are attention markers. They are not trade instructions and do not guarantee that continuation will occur. 🧩 Confluence Logic The strongest continuation context appears when gap size, gap-edge acceptance, follow-through distance, stable volatility, low fill pressure, and enough forward room align. When these elements align, the continuation score improves. When fill pressure rises or volatility becomes too hot, the score weakens. 📊 When to Use • After opening gaps in stocks, indices, futures, or session-based markets • During continuation attempts after a strong gap • When reviewing whether a gap is holding acceptance or losing structure • Around breakout continuation sessions where risk and target references need to be visible ⚠️ When NOT to Use • Extremely low-liquidity markets • Very noisy or overlapping session opens • News-driven gaps with unstable spreads • Markets where volume and session structure behave unusually • Environments where price is already far beyond a reasonable risk reference 🎛️ Key Inputs • Sensitivity → adjusts how strict the gap and score requirements are. • Gap Mode → controls whether the script reads classic gaps only or adaptive continuation windows. • Acceptance Bars → changes how many bars must hold the continuation side of the gap. • Follow-Through ATR → controls the preferred travel away from the gap edge. • Defense Buffer → sets the ATR spacing for the defense line. • Forward Room Lookback → helps estimate whether nearby structure limits continuation room. • Minimum Continuation Score → sets the READY threshold. • Visual settings → control zones, corridors, lines, labels, object limits, and panel appearance. • Show Failed / Stale Objects → controls whether old failed corridors remain visible. It is disabled by default for a cleaner publication view. 🖥️ Interface & Visual Design The interface is built for quick planner-style review. The chart carries the structural map, while the panel provides the decision summary. The first panel row follows the AGPro merged blue header standard. The remaining rows focus only on the practical planning fields: state, score, defense, fill risk, and action. The visual hierarchy is intentionally restrained so the gap, corridor, and labels are readable without turning the chart into a crowded signal map. By default, failed or stale gap objects are hidden after they lose live planning value. Event labels remain available so the chart keeps context without carrying too many old failed boxes. 🧪 Practical Usage Workflow 1. Read the panel state and continuation score. 2. Check whether price is holding the gap acceptance edge. 3. Review the continuation corridor and target guide. 4. Compare fill risk against the defense line. 5. Use alerts as review markers, not execution commands. 6. Confirm the context with broader market structure, liquidity, and personal risk rules. 🔍 Interpretation Guidelines A high continuation score means the active gap has stronger structure inside this model. It does not mean the move must continue. Low fill risk supports continuation structure. Rising fill risk means price is starting to challenge the gap. The defense line is a planning reference. It is not a guaranteed stop level and should not replace the user's own risk process. Continuation corridors are visual planning areas, not promised target zones. 🚫 What This Script Is NOT This script is not a prediction engine. This script is not financial advice. This script is not an auto-trading system. This script does not provide guaranteed signals. This script does not replace independent confirmation, risk management, or execution discipline. ⚠️ Limitations & Transparency Gap behavior varies heavily across asset classes, sessions, and timeframes. Adaptive launch windows can help continuous markets, but they should still be interpreted as structured gap-like planning areas rather than classic exchange-session gaps. High volatility can make defense and target references wider. Low liquidity can distort gap quality, label timing, and fill-risk readings. No rule-based script can fully account for news, slippage, spread changes, or sudden liquidity shifts. 🧠 Market Context Notes Gap continuation is often more meaningful when it aligns with trend pressure, session participation, volatility structure, and clean forward room. A gap is not important simply because it exists. It becomes more useful when price accepts one side of it and maintains a measurable defense structure. 🧾 Use Case Examples When price gaps up, holds above the gap edge, and the continuation score improves, the script can help review whether the gap is being defended. When price gaps down and repeatedly rejects back below the gap edge, the panel can help evaluate bearish continuation structure. When fill risk rises quickly, the script highlights that the gap may be losing acceptance rather than continuing cleanly. 🧱 System Philosophy AGProLabs tools are built around structured interpretation. The goal is not to add more signals to the chart. The goal is to turn market behavior into a cleaner review process. Gap Continuation Planner follows that approach by converting a raw gap into a measurable planning object. 🔐 Non-Promise Statement No indicator can remove uncertainty. No score can guarantee continuation. No planner can replace the trader's responsibility to manage risk. 📉 Risk Disclosure Trading involves risk. This script is provided for educational and analytical use only. It does not provide financial advice, investment advice, trading advice, or guaranteed outcomes. Users remain responsible for their own decisions, risk management, position sizing, and execution. 📚 Educational Note The strongest use of this tool is to study whether a gap is being accepted or rejected as structure develops. It is designed to support review, patience, and disciplined interpretation.

Indicator

Impulse Follow-Through Quality [AGPro Series]Impulse Follow-Through Quality 🧠 Core Idea Did the impulse receive enough follow-through to remain valid? 📌 Overview / What it does Impulse Follow-Through Quality is a chart-first momentum expansion planner built to evaluate what happens after a strong impulse candle appears. Instead of treating every strong candle as a standalone signal, the script starts a follow-through review window and measures whether price extends, pauses constructively, pulls back too deeply, reaches a target-room guide, or crosses a failure rail. These elements are converted into a 0-100 Impulse Quality score and a clear next-action state. The script produces an impulse highlight, follow-through box, failure rail, measured target guide, compact labels, alerts, and a clean AGPro planning panel. It does not predict continuation, automate trades, or guarantee that momentum will continue. 🎯 Purpose & Design Philosophy This script was built for traders who want to separate a meaningful impulse from a candle that only looks strong for one bar. Many momentum tools focus on the impulse itself. The practical question often comes after that candle: does the move attract follow-through, or does it begin to fail? This planner fills that gap by turning the post-impulse phase into a readable decision process. The design supports a patient review mindset: identify the impulse, watch the follow-through window, evaluate pullback depth, check target room, and review the failure rail before reacting. ⚡ Why This Script Is Different Most tools focus on strong candles, volume spikes, momentum bursts, or basic continuation labels. This script does NOT act as a Volume Climax Detector, does NOT rebuild an Institutional Candle Detector, and does NOT reduce the chart to a simple buy/sell momentum signal. Instead, it evaluates what happens after the impulse. The key output is not the candle itself. The key output is the follow-through quality state: IMPULSE, WAIT FT, FT WATCH, VALID FT, PULLBACK RISK, WEAK FT, FAILED, or TARGET REVIEW. ⚙️ Methodology 1. Context Detection The script detects qualified bullish or bearish impulse candles using ATR-normalized range, body efficiency, close location, trend context, and participation. 2. Reference Mapping Once an impulse qualifies, the script maps the impulse origin, follow-through box, failure rail, and target-room guide. 3. Reaction Evaluation The model evaluates follow-through progress, closes beyond the impulse close, retracement depth, participation support, target room, and whether price crosses the failure rail. 4. Visual Output The result is displayed through an impulse highlight, centered follow-through box label, failure rail, target guide, compact labels, deterministic alerts, and a premium AGPro panel. 🗺️ How to Read the Chart Impulse Highlight = the latest qualified impulse leg that starts the review window. Follow-Through Box = the active planning area between the impulse close and the measured target-room guide. Its label is centered inside the box. Failure Rail = the practical invalidation reference behind the impulse. It is an analytical line, not a stop order. Target Guide = a measured target-room reference based on the impulse range. Labels = compact state markers for impulse start, constructive follow-through, weak follow-through, pullback risk, failure rail review, and target review. Colors = teal supports constructive long-side follow-through, pink supports short-side or failure context, amber marks review risk, and indigo marks watch states. Panel = summarizes Impulse Quality, Follow-Through, Pullback Risk, Target Room, and Action. 🚦 Signals & States • IMPULSE → a qualified impulse candle has started a review window. • WAIT FT → the impulse exists, but follow-through is not confirmed yet. • FT WATCH → follow-through conditions are improving but not strong enough for the highest state. • VALID FT → follow-through quality is constructive according to the rule set. • PULLBACK RISK → retracement depth is elevated inside the impulse range. • WEAK FT → the follow-through window is aging without enough progress. • FAILED → price crossed the failure rail behind the impulse. • TARGET REVIEW → price reached the measured target-room guide and context should be reviewed. 🔔 Alerts Logic Alerts can trigger when a new impulse starts, follow-through becomes constructive, follow-through enters watch state, the move weakens, pullback risk rises, price crosses the failure rail, or price reaches the target-room guide. Each alert is an attention marker. Alerts are not trade instructions, entry commands, exit commands, or automated strategy rules. 🧩 Confluence Logic The strongest context appears when a clean impulse candle is followed by measurable progress, multiple closes beyond the impulse close, controlled retracement depth, supportive participation, and readable target room. When these components weaken, the planner can shift toward WAIT FT, FT WATCH, PULLBACK RISK, WEAK FT, or FAILED. 📊 When to Use • After strong momentum candles where continuation quality matters. • During trend continuation attempts that need follow-through review. • After breakout or expansion bars where a one-bar move may be misleading. • On liquid symbols where ATR, candle structure, and volume behavior are readable. • When you want a post-impulse planning map instead of another raw momentum signal. ⚠️ When NOT to Use • Very low-liquidity symbols with unstable candles or unreliable volume. • Extremely noisy micro-timeframes where impulse candles appear too frequently. • News-driven spikes where one-bar expansion can distort the model. • Markets with large gaps that make ATR and failure-rail references less useful. • Situations where the user expects guaranteed continuation or automated trade signals. 🎛️ Key Inputs • Follow-Through Side → controls Auto, Long Follow-Through, or Short Follow-Through mode. • Minimum Impulse ATR → changes how large a candle must be before review begins. • Minimum Body Efficiency → controls how clean the impulse body must be. • Minimum Edge Close → controls how near the candle must close to its directional edge. • Follow-Through Window → controls how many bars are used to judge early continuation. • Required Progress ATR → defines preferred movement after the impulse close. • Maximum Pullback Ratio → controls when retracement depth becomes elevated risk. • Failure Rail Buffer ATR → adjusts the analytical failure rail behind the impulse. • Visual settings → control the impulse highlight, follow-through box, failure rail, target guide, labels, panel visibility, panel location, theme, and font sizes. 🖥️ Interface & Visual Design The interface is designed to stay chart-first. The impulse highlight gives the origin. The follow-through box gives the active planning area. The failure rail and target guide define the practical review frame. The AGPro panel provides a compact decision summary with a merged blue title row, adjustable panel location, adjustable theme, and adjustable font size. 🧪 Practical Usage Workflow 1. Read the panel Impulse Quality score and Action. 2. Check the impulse highlight and the direction of the follow-through box. 3. Review whether price is extending beyond the impulse close. 4. Compare pullback depth with the failure rail. 5. Use the target guide as a context-review reference, not as a guarantee. 6. Treat alerts as attention markers inside broader analysis. 🔍 Interpretation Guidelines Think in terms of follow-through quality, not prediction. A higher score means the impulse has more constructive continuation characteristics according to the script's rule set. A weaker score means the move may be aging, retracing too deeply, lacking progress, or crossing its failure reference. VALID FT does not mean price must continue. FAILED does not mean the market cannot recover later. The states organize the review process. 🚫 What This Script Is NOT • Not a prediction engine. • Not financial advice. • Not an auto-trading system. • Not a guaranteed signal tool. • Not a buy/sell signal service. • Not a Volume Climax Detector. • Not an Institutional Candle Detector. • Not a generic momentum oscillator. ⚠️ Limitations & Transparency The script is rule-based and depends on recent price action, ATR, candle structure, selected inputs, and volume behavior. Different timeframes can produce different impulse and follow-through readings. Volatility spikes can temporarily distort the score. Symbols with unreliable volume may produce weaker participation readings. Outputs should always be interpreted with broader market structure, liquidity, and trader-defined risk controls. 🧠 Market Context Notes Impulse candles are only useful when the market confirms or rejects them through follow-through. A clean impulse that receives controlled extension may deserve more attention than a larger candle that immediately retraces. A smaller impulse can also become meaningful when the follow-through window stays organized. 🧾 Use Case Examples When price prints a strong bullish impulse, closes near the high, then follows through with multiple closes above the impulse close while pullback depth remains controlled, the planner may classify the move as VALID FT. When an impulse appears but price fails to extend, retraces deeply, or crosses the failure rail, the planner may shift toward WEAK FT, PULLBACK RISK, or FAILED. 🧱 System Philosophy AGPro planning tools are designed to help traders evaluate context before reacting. This script follows that philosophy by turning impulse follow-through into a structured planning question: did the move receive enough confirmation, progress, and risk clarity to remain worth reviewing? 🔐 Non-Promise Statement No indicator can guarantee continuation, reversal, breakout success, or outcome. This tool provides structured visual context and rule-based attention markers. It does not provide certainty. 📉 Risk Disclosure Trading involves risk. Market conditions can change quickly, and no script can remove uncertainty. Users are responsible for their own analysis, risk management, position sizing, and trading decisions. This script is for educational and analytical use only and does not provide financial advice. 📚 Educational Note Use the planner to study how strong candles behave after they appear, how follow-through quality changes across timeframes, and how pullback depth affects the readability of momentum continuation.

Indicator

Cup and Handle Quality [AGPro Series]Cup and Handle Quality 🧩 OVERVIEW Cup and Handle Quality is a visual pattern-quality overlay for one of the most recognized continuation structures in technical analysis: the cup and handle. The script is designed to map the full pattern lifecycle instead of only marking a breakout candle. It studies the left cup rim, the cup base, the right rim recovery, the controlled handle pullback, the breakout behavior, and the measured projection context. The goal is to make cup and handle structures easier to recognize, compare, and explain directly on the chart. The final visual output is intentionally clear. The detected cup and handle candle ranges are framed with subtle boxes, while thick curved outlines make the formation readable at a glance. The rim line, target line, DEPTH arrow, and MOVE arrow help users understand how the structure is measured, not just where the label appears. ✅ WHAT MAKES IT DIFFERENT Most public cup and handle tools focus on one of two things: either they draw a simple breakout marker, or they scan aggressively and leave the chart crowded with low-context shapes. Cup and Handle Quality takes a narrower approach. It combines three layers: - Structure recognition: left rim, cup base, right rim, and handle low - Quality scoring: cup symmetry, handle depth, and breakout quality - Visual education: cup box, handle box, thick pattern outline, rim line, target line, and measurement arrows This makes the script more than a pattern detector. It is also a visual explanation tool. The chart shows where the cup was detected, where the handle formed, how deep the cup is, and where the measured projection line comes from. 🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS This script has its own lane inside the AGPro Series. It is not a flag scanner, wedge detector, triangle breakout module, inside-bar breakout tool, Donchian breakout validator, double-top detector, head-and-shoulders detector, generic support-resistance map, or supply-demand zone script. Its lane is specifically: Cup rim recovery -> controlled handle depth -> breakout participation -> measured projection line. The script focuses on the complete cup and handle lifecycle. It does not try to replace broader breakout engines, market-structure tools, support-resistance tools, liquidity tools, or trend dashboards. The defining feature is the combination of a recognizable cup-and-handle drawing with a quality panel that grades the actual pattern components. ⚙️ METHODOLOGY The engine builds the pattern from pivot structure. A qualified setup begins with a left rim, moves into a cup low, recovers into a right rim, and then forms a handle pullback after the right rim. The quality model evaluates: 1. Cup Symmetry The script compares the two rim areas and measures how balanced the cup is over time. A cleaner return from the cup base into the right rim area produces a stronger symmetry reading. 2. Handle Depth The handle is measured as a percentage of cup depth. A useful handle should create structure without pulling so deeply that the cup profile loses strength. The input range allows the user to control how strict or flexible the handle requirement should be. 3. Breakout Quality Breakout quality is calculated from candle behavior and participation context. The script checks distance beyond the rim, candle body efficiency, close location, and relative volume against a configurable baseline. 4. Final Score The final score combines the structure score and breakout behavior into a compact quality reading. Developing setups can be shown before breakout confirmation, while confirmed breakouts require the breakout quality gate. 📊 PANEL The AGPro panel displays the main quality dimensions in a compact format: - Cup Symmetry - Handle Depth - Breakout Quality - Score The first row follows the AGPro standard with a merged blue title row. Panel location, panel theme, panel font size, and label font size are adjustable from settings. 🎛️ KEY INPUTS - Pivot Span controls structural sensitivity. - Minimum Cup Bars defines the shortest accepted cup duration. - Maximum Cup Bars defines the longest accepted cup duration. - Maximum Rim Variance % controls how closely the left and right rims must align. - Minimum Cup Depth ATR filters shallow structures. - Minimum Handle Depth % filters handles that are too shallow. - Maximum Handle Depth % filters handles that are too deep. - Breakout Volume Baseline controls the relative volume comparison. - Minimum Setup Score controls developing setup visibility. - Minimum Breakout Quality controls confirmed breakout strictness. - Minimum Pattern Score controls the final quality gate. - Show Developing Setup controls pre-breakout visualization. - Show Cup Path controls the curved cup drawing and cup candle box. - Show Handle Box controls the detected handle range. - Show Target Line controls the measured projection line. - Show Measurement Arrows controls the DEPTH and MOVE explanation arrows. - Pattern Stroke Width controls the thickness of the cup and handle outlines. - Target Projection Bars controls how far the measured target line extends. 🔍 HOW TO READ IT Start with the rim line. This is the reference level the structure must recover into and eventually move beyond. Then read the cup. The subtle cup box marks the detected candle range, while the thick curved outline helps the formation read visually as a cup instead of a simple V-shaped swing. Next read the handle. The handle box marks the controlled pullback area after the right rim. The curved handle outline makes the handle easier to recognize without turning it into a generic rectangle pattern. The DEPTH arrow shows the measured cup depth. The MOVE arrow transfers that depth upward from the rim area. The TARGET line shows the forward measured projection level. The panel summarizes the same structure numerically. Stronger Cup Symmetry, disciplined Handle Depth, and stronger Breakout Quality combine into the final Score. 🧩 BEST USE CASES Cup and Handle Quality is best used on liquid symbols and timeframes where swing structure has enough room to develop. It is especially useful for users who want a clean visual map of a classic continuation pattern without filling the chart with unrelated pattern families. The default settings are tuned for active discovery. Users who want fewer patterns can raise pivot sensitivity or score thresholds. Users who want a more reactive view can lower the score thresholds, while still using the chart visuals to review pattern quality. 🧠 VISUAL DESIGN PHILOSOPHY The design philosophy is simple: make the pattern understandable without making the chart noisy. The cup and handle are drawn with thick curved lines because this pattern is visual by nature. Newer users should be able to see the shape immediately. At the same time, the candle boxes keep the drawing grounded in the actual detected structure. The target is shown as a line rather than a large zone, keeping the projection clean. The DEPTH and MOVE arrows explain the measurement logic without turning the indicator into a crowded education panel. Labels are compact, and the panel is restrained so the chart remains the main focus. 🔔 ALERTS The script includes an alert condition for confirmed cup and handle breakouts. Alert name: Cup and Handle Quality Breakout Alert message: Cup and Handle Quality : high-quality cup and handle breakout confirmed on {{ticker}} at {{close}}. Alerts are tied to confirmed breakout logic, which means the structure, breakout quality, and pattern score must pass the configured gates. 🔹 LIMITATIONS AND TRANSPARENCY Cup and handle structures are pattern-based and depend on pivot interpretation. Different sensitivity settings can produce different structures on the same chart. Very noisy markets, illiquid symbols, extreme gaps, and unusually compressed price action can reduce pattern readability. Lower thresholds may produce more setups, but visual review remains important when using any chart-pattern tool. The thick cup and handle lines are designed as visual guides. The subtle candle boxes identify the detected structure ranges, while the curved outlines make the pattern easier to understand on the chart. ✅ IDEAL USER This script is built for traders and analysts who want a clean, visual, and structured way to study cup and handle formations. It is especially useful for: - Users who want classic chart patterns with a modern quality layer - Price-action traders who care about structure, handle depth, and breakout behavior - Chart reviewers who want a clear visual explanation of the setup - Newer users who benefit from seeing the cup, handle, depth, move, and target drawn directly on the chart - AGPro users who want a focused cup-and-handle tool that does not overlap with broader breakout or market-structure scripts

Indicator

Chandelier Exit Flip Zones [AGPro Series]Chandelier Exit Flip Zones Chandelier Exit Flip Zones is a premium ATR trailing-stop and exit-state engine built for traders who want more than a simple stop line on the chart. The script takes the classic Chandelier Exit concept and turns it into a structured decision layer: Chandelier trail -> trail-side flip -> flip quality -> continuation state -> exit-pressure awareness The result is a clean public-free tool for reading trend continuation, trailing-stop pressure, and Chandelier flip transitions without turning the chart into a crowded signal board. 📌 Why This Script Exists Chandelier Exit is one of the most practical and searched trailing-stop concepts because it connects trend direction with volatility. Many traders use it to trail positions, judge when momentum is still holding, or identify when price is starting to lose distance from its active stop area. Most Chandelier tools stop at the line. This script adds the missing context: - Which side of the Chandelier trail is active? - How far is price from the trail in ATR terms? - Was the latest trail flip strong or weak? - Is the market still in continuation mode? - Is price compressing back into an exit-watch area? - Did the transition create a clean forward flip zone? That extra layer is what makes the script more useful than a standard ATR trailing-stop overlay. ⚡ What Makes It Different From Standard Chandelier Exit Indicators Most public Chandelier Exit indicators are visually simple. They usually plot a long stop, a short stop, and sometimes a basic flip marker. Chandelier Exit Flip Zones is built around a stronger reading model. It evaluates each trail flip through a quality score that combines: - Trail-break strength - EMA trend agreement - Range expansion - Candle close location - Optional volume participation This means the script does not treat every flip equally. A weak flip inside chop is not presented with the same weight as a cleaner transition with better structure, stronger expansion, and better directional agreement. The script also uses quality-filtered Flip Zones. These boxes are not generic support and resistance areas. They are drawn around the Chandelier transition area where price breaks the previous trail and establishes a new active side. The purpose is to mark the actual trail-flip area, not to fill the chart with unrelated levels. 🧭 How It Is Different From Other AGProLabs Scripts This script was intentionally kept in a narrow Chandelier Exit lane so it does not overlap with other AGProLabs public releases. It is not a SuperTrend script. SuperTrend logic is built around a different volatility-band mechanism, while this tool is built around Chandelier high/low structure anchors and ATR trail distance. It is not an ATR compression or ATR breakout script. Those concepts focus on volatility contraction, breakout pressure, or expansion behavior. This script focuses on the active trailing-stop side, distance from the Chandelier trail, and exit-state awareness. It is not a generic trend dashboard. The panel is compact and centered on trail side, ATR multiple, distance, flip quality, and continuation or exit-watch state. It is not a support/resistance zone engine. The only zones are concept-native Flip Zones created from qualified Chandelier trail transitions. This keeps the script differentiated, practical, and publication-safe inside the AGPro Series catalog. ✅ Core Features - Chandelier Exit trail based on ATR distance and recent structure anchors - Long-side and short-side trail state - Bullish and bearish trail-flip detection - Flip quality score from 0 to 100 - Prime, qualified, and developing flip classifications - ATR distance from the active trail - Percentage distance from the active trail - Continuation, control, and exit-watch state logic - Quality-filtered forward Flip Zones - Optional exit-watch labels, disabled by default for a cleaner public view - Label cooldown and maximum label controls - Maximum visible zone control - Adjustable label font size - Adjustable panel font size - Adjustable panel location - Dark, light, and auto panel theme options - AGPro-style panel with a single merged blue header row - Alerts for bullish flips, bearish flips, prime flips, and exit-watch conditions 📊 Panel Readout The panel is designed to give a fast read without visual overload: Trail Side Shows whether the active Chandelier trail is currently long-side or short-side. ATR Multiple Shows the volatility multiple used by the current trail. Distance Shows how far price is from the active trail in both ATR and percentage terms. Flip Quality Displays the most recent flip score and classification. State Classifies the current condition as continuation, control, or exit watch. 🎯 How To Read It A strong Chandelier flip means price has crossed the prior active trail with enough quality to deserve attention. The score helps separate cleaner transitions from weaker flips in noisy conditions. A continuation state means price has moved far enough from the active trail and still has trend agreement behind it. This is the cleaner trend-following condition. A control state means price is on one side of the trail, but the continuation profile is not yet strong enough to classify as a high-conviction continuation read. An exit-watch state means price has compressed back toward the active Chandelier trail. This does not make the script a prediction tool. It simply highlights that the active trend has less distance from its trailing-stop structure and deserves closer attention. 💎 Why Traders May Like It The script is useful because it keeps the original simplicity of Chandelier Exit while adding the context traders usually have to judge manually. It can help users read: - Trend-following continuation quality - ATR trailing-stop distance - Trail-side transitions - Cleaner Chandelier flip zones - Exit-pressure areas near the active trail - Strong versus weak flip behavior The default view is intentionally restrained. Exit-watch labels are available, but disabled by default so the first chart impression stays cleaner. Flip labels and zones are also filtered by score so the chart does not get flooded during sideways periods. 🛠 Suggested Use Cases - Trend-following exit management - Swing-trading trail awareness - Crypto trend continuation tracking - Forex and index trailing-stop context - Stock trend-state monitoring - Identifying stronger Chandelier trail transitions - Monitoring when price compresses back toward the active trail ⚙️ Recommended Default Style The defaults are tuned for a public-free premium view: - ATR Length: 22 - Structure Lookback: 22 - ATR Multiple: 3.0 - Flip Zones: enabled - Minimum Zone Score: 50 - Minimum Flip Label Score: 45 - Exit Labels: disabled by default - Label Font Size: Normal - Panel Font Size: Normal - Panel Theme: Dark These settings keep the tool immediately usable while preserving a clean chart presentation. 🔹 In One Sentence Chandelier Exit Flip Zones turns a classic ATR trailing stop into a cleaner Chandelier trail, flip-quality, continuation-state, and exit-pressure map built for serious chart reading without unnecessary clutter.

Indicator

Heikin Ashi Trend Zones [AGPro Series]Heikin Ashi Trend Zones Heikin Ashi Trend Zones is a clean overlay built for traders who like the smoothing behavior of Heikin Ashi but still want to keep the original market candles visible. Instead of repainting the chart with synthetic candles, the script reads the internal Heikin Ashi state in the background and converts it into a focused trend-state layer. The engine follows four core ideas: 1. Internal HA Side The script calculates the active Heikin Ashi side from synthetic HA open and close values, then filters weak neutral bodies so the state does not flip on every small candle. 2. HA Streak Quality The panel tracks how long the current HA side has been active. This helps separate early state changes from mature continuation phases. 3. Optional Transition Zones When the HA side changes with enough body strength, wick cleanliness, close location, ATR pressure, and prior-state maturity, the script can project a compact rectangular transition zone. This layer is disabled by default so the public chart view stays clean, but it remains available for traders who want to inspect HA changeover corridors. 4. Continuation Quality Once a HA streak matures, the script scores continuation quality using body strength, wick cleanliness, close location, smoothed HA slope, streak depth, and ATR context. Labels appear only when the continuation score is strong enough and the cooldown rules allow a clean chart presentation. What makes this script different - It does not replace real candles with Heikin Ashi candles. - It does not behave like a generic trend-following dashboard. - It focuses on HA state transitions, HA streak maturity, and continuation quality. - Optional transition boxes are concept-native HA corridors, not broad horizontal support/resistance zones. - Label density is capped with cooldown and maximum visible label controls. - The panel exposes HA side, streak, transition quality, continuation quality, and ATR context in a compact AGPro layout. Visual design The overlay stays restrained: - A slim trend-state ribbon follows the smoothed HA path. - Optional transition zones can extend forward as compact rectangles when enabled. - Continuation labels are offset from candles with ATR spacing. - Panel location, panel theme, panel font size, and label font size are adjustable. Suggested usage Use the script to study whether Heikin Ashi structure is shifting, stabilizing, or continuing while the original candles remain visible. The strongest reads usually come from alignment between a clean HA side, a growing streak, strong continuation quality, and an ATR context that supports the current state. Default settings are tuned for a balanced public chart view with a clean ribbon and selective continuation labels. Faster traders can reduce smoothing and cooldown values. Swing traders can enable transition zones, increase transition projection, and require higher continuation quality for fewer labels.

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Opening Range Failure Zones [AGPro Series]📌 Bollinger Walk Quality Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail? Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, directional pressure around the outer lane, pullback quality inside the band structure, and the point where the walk begins to lose control. The goal is to make Bollinger Band continuation easier to read directly on the chart. Instead of treating every band touch as meaningful, the script scores whether price is staying in the correct outer lane, whether the Bollinger basis supports the active direction, whether pressure is persisting across multiple bars, and whether a pullback is holding in a healthy continuation pocket. 🧭 What The Script Measures 1. Walk Side The panel identifies whether the active environment is an Upper Walk, Lower Walk, Cooling Walk, or Neutral state. Upper Walk means price is persistently operating near the upper Bollinger lane while the basis supports upward continuation pressure. Lower Walk means price is persistently operating near the lower Bollinger lane while the basis supports downward continuation pressure. Cooling states appear when a recent walk is no longer fully active, but the script is still monitoring pullback quality and failure risk for a limited memory window. 2. Band Pressure Band Pressure is a quality score for the active or developing walk. It combines outer-lane position, persistence, band contact behavior, basis slope support, and candle direction. A higher score means the walk has stronger structural pressure. A lower score means price is no longer showing durable outer-band control. This keeps the script focused on continuation quality instead of simple band interaction. The chart can show a band touch, but the panel helps separate a weak touch from a real band-walk environment. 3. Pullback Quality Healthy band walks often reset toward the middle of the Bollinger structure before continuing. Bollinger Walk Quality tracks that reset through a concept-native pullback pocket. The pullback pocket is not a generic support or resistance rectangle. It is projected from the current Bollinger structure and represents the area where a band walk can cool off while still keeping its continuation profile intact. The panel can show states such as Awaiting Pullback, Testing Pocket, Clean Hold, or Weak Reset. This helps distinguish a controlled continuation reset from a walk that is losing quality. 4. Failure Risk Failure Risk is designed to catch the moment when an active or recently active band walk starts to break down. It rises when price loses the outer lane, pressure falls, the basis slope weakens, or price begins to threaten the Bollinger basis. The failure label is intentionally restrained. It appears only on fresh failure events, so the chart remains clean and readable instead of filling with repeated warnings. 🎯 Core Features - Outer-band walk detection for upper and lower Bollinger continuation phases - Band pressure scoring based on lane position, persistence, slope support, and band contact behavior - Pullback-to-band quality state for continuation resets - Projected pullback pockets that show where a healthy walk can reset without losing structure - Failure warning labels when the active walk loses pressure or threatens the basis - Clean AG Pro panel with walk side, band pressure, pullback quality, and failure risk - Adjustable panel location, theme, font sizes, label spacing, label clearance, zone projection, and visual density 📊 Visual Design The default view is designed for a clean public PulseWire chart. The script displays Bollinger Bands, highlights the active walk track, projects a limited number of pullback zones, and uses event labels with spacing controls. Labels are anchored outside the local candle envelope so they do not disappear inside candles or cover important price action. The chart remains active enough to be visually informative, but the object count and label density are controlled by default. This keeps the indicator suitable for repeated use across different symbols and timeframes. 🧩 Panel The AG Pro panel summarizes the current state in four compact rows: - Walk Side - Band Pressure - Pullback Quality - Failure Risk Panel location, panel theme, panel font size, label font size, label spacing, label clearance, zone projection, zone opacity, and object limits are all adjustable from the settings menu. 🔎 How This Is Different Bollinger Walk Quality is not a squeeze map and does not rely on compression logic. It does not use Keltner confirmation, volatility percentile ranking, or width contraction states. Its lane is continuation after expansion: - Is price walking the band? - Which side controls the walk? - Is the walk supported by pressure and basis slope? - Is the pullback still healthy? - Is the walk beginning to fail? That makes it a separate Bollinger Band workflow from squeeze-focused tools. It is designed for traders who want to evaluate trend continuation rhythm, pullback behavior, and outer-band pressure in a more structured way. ✅ Best Use Cases - Studying Bollinger Band walk continuation - Reviewing trend pressure after expansion - Identifying controlled pullbacks inside active band-walk environments - Monitoring when a walk is cooling or losing quality - Comparing upper-band and lower-band pressure across market phases - Keeping Bollinger Band continuation analysis clean and visual ⚙️ Settings Overview Engine settings control the Bollinger length, multiplier, source, basis slope lookback, and ATR normalization. Band Walk Logic settings control the outer-lane depth, minimum walk persistence, minimum walk score, pullback memory, and failure warning threshold. Visual settings control Bollinger Bands, walk highlight, pullback zones, event labels, label spacing, label count, label offset, label clearance, and label font size. Pullback Zone settings control zone projection length, maximum visible zones, and opacity. Panel settings control the information panel, location, theme, and font size. 🏁 Design Intent Bollinger Walk Quality is designed to make Bollinger Band continuation more readable without turning the chart into a crowded signal dashboard. The script focuses on structure, persistence, pullback quality, and failure behavior. It gives the chart a clear visual rhythm while keeping the panel concise and the labels controlled. This makes the script useful as a premium public Bollinger continuation tool and keeps it clearly differentiated from Bollinger squeeze, compression, and volatility expansion maps.

Indicator

Bollinger Walk Quality [AGPro Series]📌 Bollinger Walk Quality Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail? Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, directional pressure around the outer lane, pullback quality inside the band structure, and the point where the walk begins to lose control. The goal is to make Bollinger Band continuation easier to read directly on the chart. Instead of treating every band touch as meaningful, the script scores whether price is staying in the correct outer lane, whether the Bollinger basis supports the active direction, whether pressure is persisting across multiple bars, and whether a pullback is holding in a healthy continuation pocket. 🧭 What The Script Measures 1. Walk Side The panel identifies whether the active environment is an Upper Walk, Lower Walk, Cooling Walk, or Neutral state. Upper Walk means price is persistently operating near the upper Bollinger lane while the basis supports upward continuation pressure. Lower Walk means price is persistently operating near the lower Bollinger lane while the basis supports downward continuation pressure. Cooling states appear when a recent walk is no longer fully active, but the script is still monitoring pullback quality and failure risk for a limited memory window. 2. Band Pressure Band Pressure is a quality score for the active or developing walk. It combines outer-lane position, persistence, band contact behavior, basis slope support, and candle direction. A higher score means the walk has stronger structural pressure. A lower score means price is no longer showing durable outer-band control. This keeps the script focused on continuation quality instead of simple band interaction. The chart can show a band touch, but the panel helps separate a weak touch from a real band-walk environment. 3. Pullback Quality Healthy band walks often reset toward the middle of the Bollinger structure before continuing. Bollinger Walk Quality tracks that reset through a concept-native pullback pocket. The pullback pocket is not a generic support or resistance rectangle. It is projected from the current Bollinger structure and represents the area where a band walk can cool off while still keeping its continuation profile intact. The panel can show states such as Awaiting Pullback, Testing Pocket, Clean Hold, or Weak Reset. This helps distinguish a controlled continuation reset from a walk that is losing quality. 4. Failure Risk Failure Risk is designed to catch the moment when an active or recently active band walk starts to break down. It rises when price loses the outer lane, pressure falls, the basis slope weakens, or price begins to threaten the Bollinger basis. The failure label is intentionally restrained. It appears only on fresh failure events, so the chart remains clean and readable instead of filling with repeated warnings. 🎯 Core Features - Outer-band walk detection for upper and lower Bollinger continuation phases - Band pressure scoring based on lane position, persistence, slope support, and band contact behavior - Pullback-to-band quality state for continuation resets - Projected pullback pockets that show where a healthy walk can reset without losing structure - Failure warning labels when the active walk loses pressure or threatens the basis - Clean AG Pro panel with walk side, band pressure, pullback quality, and failure risk - Adjustable panel location, theme, font sizes, label spacing, label clearance, zone projection, and visual density 📊 Visual Design The default view is designed for a clean public PulseWire chart. The script displays Bollinger Bands, highlights the active walk track, projects a limited number of pullback zones, and uses event labels with spacing controls. Labels are anchored outside the local candle envelope so they do not disappear inside candles or cover important price action. The chart remains active enough to be visually informative, but the object count and label density are controlled by default. This keeps the indicator suitable for repeated use across different symbols and timeframes. 🧩 Panel The AG Pro panel summarizes the current state in four compact rows: - Walk Side - Band Pressure - Pullback Quality - Failure Risk Panel location, panel theme, panel font size, label font size, label spacing, label clearance, zone projection, zone opacity, and object limits are all adjustable from the settings menu. 🔎 How This Is Different Bollinger Walk Quality is not a squeeze map and does not rely on compression logic. It does not use Keltner confirmation, volatility percentile ranking, or width contraction states. Its lane is continuation after expansion: - Is price walking the band? - Which side controls the walk? - Is the walk supported by pressure and basis slope? - Is the pullback still healthy? - Is the walk beginning to fail? That makes it a separate Bollinger Band workflow from squeeze-focused tools. It is designed for traders who want to evaluate trend continuation rhythm, pullback behavior, and outer-band pressure in a more structured way. ✅ Best Use Cases - Studying Bollinger Band walk continuation - Reviewing trend pressure after expansion - Identifying controlled pullbacks inside active band-walk environments - Monitoring when a walk is cooling or losing quality - Comparing upper-band and lower-band pressure across market phases - Keeping Bollinger Band continuation analysis clean and visual ⚙️ Settings Overview Engine settings control the Bollinger length, multiplier, source, basis slope lookback, and ATR normalization. Band Walk Logic settings control the outer-lane depth, minimum walk persistence, minimum walk score, pullback memory, and failure warning threshold. Visual settings control Bollinger Bands, walk highlight, pullback zones, event labels, label spacing, label count, label offset, label clearance, and label font size. Pullback Zone settings control zone projection length, maximum visible zones, and opacity. Panel settings control the information panel, location, theme, and font size. 🏁 Design Intent Bollinger Walk Quality is designed to make Bollinger Band continuation more readable without turning the chart into a crowded signal dashboard. The script focuses on structure, persistence, pullback quality, and failure behavior. It gives the chart a clear visual rhythm while keeping the panel concise and the labels controlled. This makes the script useful as a premium public Bollinger continuation tool and keeps it clearly differentiated from Bollinger squeeze, compression, and volatility expansion maps.

Indicator

Flag Continuation Zones [AGPro Series]🔷 Flag Continuation Zones Flag Continuation Zones is a premium bull flag and bear flag continuation engine designed to identify clean continuation structures without turning the chart into a generic breakout scanner. The script focuses on a classic, highly recognizable price-action sequence: impulse pole → controlled flag compression → qualified breakout → forward continuation zone Instead of marking every small consolidation as a flag, the engine validates the structure through pole strength, travel efficiency, flag depth, channel compression, trend alignment, breakout distance, and optional volume participation. 🔷 What Makes This Different Most flag indicators are visually simple but structurally loose. They often label shallow pauses, random pullbacks, or broad ranges as flags. Flag Continuation Zones takes a stricter route. It first requires a validated impulse pole. The move must be large enough relative to ATR and efficient enough to show directional commitment. After that, the script waits for a controlled counter-trend flag window. The flag must remain compact, avoid excessive retracement, and preserve continuation structure before any breakout is accepted. This creates a chart experience that is more selective, cleaner, and easier to trust visually. 🔷 How The Engine Works The script evaluates four core stages: 1. Pole Validation The prior impulse is measured by ATR multiple and path efficiency. This helps separate real directional movement from noisy grinding price action. 2. Flag Compression After the pole, the script studies the consolidation window. A valid flag must remain inside an acceptable depth and range relative to the pole. 3. Breakout Confirmation A continuation event is accepted only when price clears the flag boundary with an ATR buffer and, when available, enough volume participation. 4. Continuation Mapping Accepted structures create a forward rectangular zone, an impulse pole line, a breakout label, and an optional measured-move projection line. 🔷 Visual Design The visual language is intentionally restrained: - clean bull and bear flag labels - rectangular continuation zones - impulse pole reference lines - optional measured-move target line - trend EMA context - compact AG Pro status panel - adjustable panel location - dark and light panel themes - adjustable label and panel font sizes The goal is to make the pattern visible and premium without crowding the chart. 🔷 How This Is Different From Other AGPro Tools This script is not a generic Trend Continuation Quality tool. It is not an abstract continuation scorecard. It is specifically built around the flag pattern family: - impulse pole quality - flag channel compression - breakout through the flag boundary - measured-move continuation context It also avoids overlapping with triangle, consolidation breakout, Donchian breakout, inside-bar breakout, and trendline tools by staying focused on the pole-and-flag structure itself. 🔷 Best Fit This script is useful for traders who want to scan for cleaner bull flag and bear flag continuation patterns across crypto, forex, stocks, indices, and futures. It is especially suitable for: - continuation traders - breakout traders who want stricter structure - price-action traders who follow classic chart patterns - users who prefer rectangular zones and measured-move context - traders who want fewer but higher-quality labels 🔷 Key Inputs Important controls include: - Pole Lookback - Flag Window - Minimum Flag Bars - Minimum Pole ATR Multiple - Minimum Pole Efficiency - Maximum Flag Depth - Maximum Flag Range - Breakout Buffer - Volume Confirmation - Signal Cooldown - Zone Forward Bars - Label Font Size - Panel Location - Panel Theme - Panel Font Size 🔷 In One Sentence Flag Continuation Zones turns the classic bull flag and bear flag pattern into a cleaner, scored, zone-based continuation map built for premium public chart presentation.

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Hidden Divergence Continuation Zones [AGPro Series]Hidden Divergence Continuation Zones 🟦 Overview Hidden Divergence Continuation Zones is a focused trend-continuation indicator built around one specific market behavior: hidden divergence that forms during a structured pullback inside an existing directional move. Most divergence tools are built to search for reversals. They scan regular bullish and bearish divergence, print many labels, and often mix every oscillator event into the same visual map. This script intentionally takes a narrower lane. It does not try to be a general divergence scanner. It looks only for hidden bullish and hidden bearish divergence, because hidden divergence is most useful when the question is not "is the trend ending?" but "is the trend trying to continue after a controlled pullback?" The result is a cleaner continuation framework: - confirmed price swing structure - RSI momentum displacement - EMA and DMI trend filtering - ATR-normalized quality scoring - lower-intensity HDC Watch labels - forward continuation pockets - swing connectors - trigger labels - compact AGPro dashboard The purpose is to make hidden continuation structure visible without filling the chart with every possible divergence mark. 🔹 What Makes This Different This script is separated from both common public divergence tools and our existing AGPro divergence family by design. It is not a multi-oscillator regular divergence stack. It does not score RSI, MACD, CCI, MFI, and OBV together. That lane is already covered by broader stack-style divergence tools. It is not an OBV pressure divergence map. It does not study price-versus-participation disagreement through cumulative volume pressure. It is not a trend dashboard with divergence added as a side feature. Hidden Divergence Continuation Zones focuses on a single continuation workflow: 1. Confirm that the market has an active directional side. 2. Wait for a valid pullback swing. 3. Compare the new swing against the previous swing. 4. Accept only hidden divergence that supports continuation. 5. Draw a forward pocket from the continuation pivot. 6. Track whether price later triggers from that structure. That narrow scope is the edge. The script is designed to avoid visual noise and avoid conceptual overlap. 🧭 Core Logic Bullish hidden continuation: - the trend filter must support a bullish continuation environment - price must form a confirmed higher low - RSI must form a lower low against that higher price low - the two compared swings must be separated by enough bars - the structure must be large enough relative to ATR - the RSI displacement must clear the minimum threshold - the final continuation score must pass the display threshold Bearish hidden continuation: - the trend filter must support a bearish continuation environment - price must form a confirmed lower high - RSI must form a higher high against that lower price high - the two compared swings must be separated by enough bars - the structure must be large enough relative to ATR - the RSI displacement must clear the minimum threshold - the final continuation score must pass the display threshold The script uses confirmed pivots, so events appear only after the pivot is structurally available. This keeps the logic stable and prevents premature labels from appearing on incomplete swings. 📐 Continuation Score Each qualified setup is graded with a 0 to 100 continuation score. The score combines: - ADX strength above the selected minimum - ATR-normalized distance between the compared swings - RSI displacement between the two pivot points - whether the pullback sits in a continuation-relevant EMA area - whether the fast and slow EMA structure remains aligned The default thresholds are designed to keep the chart selective. Normal qualified events are shown as HDC+ or HDC-. Stronger events are shown as PRIME HDC+ or PRIME HDC-. Lower-intensity confirmed hidden divergence candidates can also be displayed as HDC WATCH labels. These marks are intentionally softer: they add visual context and keep the chart informative, but they do not create continuation pockets or trigger tracking unless the full continuation threshold is reached. 🧩 Continuation Pockets When a hidden continuation event qualifies, the script projects a forward pocket from the pivot area. These pockets are not generic support and resistance boxes. They are continuation context zones tied directly to the hidden divergence pivot. Their job is to preserve the important pullback area on the chart after the label appears, so the user can see where the continuation structure was created. Pocket height is ATR-based, which helps the zones adapt across symbols and timeframes. The number of visible pockets is capped, so older structures are automatically removed and the chart remains clean. 🎯 Trigger Labels After a hidden divergence pocket is created, the script monitors a limited trigger window. For bullish continuation, a trigger is printed only when price confirms above the pivot candle reference with the selected ATR buffer. For bearish continuation, a trigger is printed only when price confirms below the pivot candle reference with the selected ATR buffer. This keeps the workflow organized: - hidden divergence creates the continuation pocket - the pocket defines the structure - the trigger label marks follow-through from that structure ⚙️ Dashboard The AGPro panel is built for quick reading: - Oscillator: current RSI value - Trend Side: bullish continuation, bearish continuation, or neutral - Swing Quality: none, building, qualified, or prime - Continuation Score: latest event score - Active Pocket: current pocket state and freshness The first panel row follows the AGPro standard: one merged blue header row with only the script title. Panel location, panel theme, label font size, and panel font size are all adjustable from settings. 🧪 Practical Reading A clean bullish continuation sequence usually looks like this: 1. Trend Side shows Bull Continuation. 2. Price pulls back and forms a confirmed higher low. 3. RSI makes a lower low at that swing. 4. A continuation pocket appears below/around the pullback area. 5. A trigger label appears only if price follows through during the trigger window. A clean bearish continuation sequence usually looks like this: 1. Trend Side shows Bear Continuation. 2. Price pulls back and forms a confirmed lower high. 3. RSI makes a higher high at that swing. 4. A continuation pocket appears above/around the pullback area. 5. A trigger label appears only if price follows through during the trigger window. The best use case is structured trend continuation study, especially when a trader wants to separate controlled pullbacks from random oscillator divergence noise. 🔍 Key Inputs Trend Continuation Filter: - Fast EMA Length - Slow EMA Length - EMA Slope Lookback - DMI Length - ADX Smoothing - Minimum ADX Hidden Divergence Engine: - RSI Length - Confirmed Pivot Length - Minimum Pivot Separation - Minimum Price Swing (ATR) - Minimum RSI Displacement - Minimum Continuation Score - Prime Score Threshold - Show HDC Watch Labels - Watch Label Score Continuation Pockets: - Show Continuation Pockets - Pocket Extension Bars - Pocket Height (ATR) - Maximum Visible Pockets - Trigger Window Bars - Trigger Buffer (ATR) Visual Layout: - EMA Backbone - Swing Connectors - Event Labels - Same-Side Label Cooldown - Label Offset - Label Font Size - Maximum Visible Labels - Maximum Visible Connectors Panel: - Show Panel - Panel Location - Panel Theme - Panel Font Size 🟣 Design Notes The visual design is intentionally restrained: - no regular divergence clutter - no multi-oscillator table overload - no unnecessary signal spam - no permanent background wash - no oversized dashboard - no generic zone engine detached from the core concept The chart should stay readable while still feeling active and premium. Swing connectors explain where the hidden divergence came from. Pockets preserve the continuation area. Labels are offset from candles and controlled by cooldown settings. ✨ Summary Hidden Divergence Continuation Zones is built for traders who want a cleaner way to study trend continuation through hidden divergence. Instead of asking whether every oscillator disagreement matters, this tool asks a more specific question: Is there a confirmed hidden divergence pullback inside a real trend, and did that structure create a continuation pocket worth tracking? That focused question is what keeps the script distinct, lightweight, and visually clean.

Indicator

Low Volume Pullback Zones [AGPro Series]Low Volume Pullback Zones 🔷 Overview Low Volume Pullback Zones is a trend-continuation overlay built for one very specific market behavior: a trend is already established, price retraces in a controlled way, volume dries up during that retracement, and the market later reclaims a continuation trigger. The default profile is tuned for daily swing charts, where low-volume retracements usually form cleaner structural pockets and the chart has enough space for the boxes to read properly. A 4H Active preset is included for traders who want more frequent mapping, while Custom mode exposes the raw controls. Many pullback tools focus only on price touching a moving average, a SuperTrend line, or a generic support/resistance area. This script is intentionally narrower. It looks for the quieter part of a trend: the moment where participation contracts during a retracement, the pullback stays shallow relative to the prior impulse, and a clean continuation pocket can be mapped with a visible invalidation boundary. The goal is not to mark every trend candle. The goal is to isolate the cleaner pauses inside trend conditions where the pullback behaves like controlled absorption instead of aggressive reversal pressure. 🟩 What The Script Detects The engine combines five layers: 1. Trend Side The script first checks whether the market has a clean bullish or bearish trend profile using EMA alignment, EMA slope, DI direction, and ADX strength. If the trend is flat or mixed, the script avoids mapping low-quality pullbacks. 2. Low RVOL Retracement During a pullback, the script measures relative volume against a rolling volume baseline. A stronger dry-up score means the retracement is happening with lighter participation, which often creates a cleaner continuation context than high-volume countertrend pressure. 3. Shallow Pullback Depth The pullback is measured against the prior impulse reference range. Controlled retracements receive higher scores, while deep retracements move toward failure risk. 4. Continuation Trigger The script waits for price to reclaim beyond the pullback pocket boundary with a small ATR buffer and relative-volume recovery. This prevents the chart from filling with premature pullback labels before the structure actually confirms. 5. Invalidation Boundary Every active dry-up pocket has a structural boundary beyond the deepest pullback extreme. If price breaks that boundary, the pocket is treated as invalid rather than leaving an old setup on the chart. 🟦 Chart Visuals The main visual layer is the Dry-Up Pullback Pocket. When a valid pullback begins, the script draws a compact rectangular pocket around the retracement range. If the pocket confirms, the script projects a tighter functional retest/hold zone instead of extending the entire historical pullback range. This makes the zone easier to use: bullish zones focus on the reclaimed upper pocket area, bearish zones focus on the reclaimed lower pocket area, and the dotted invalidation boundary remains beyond the failed side of the structure. Dry-Up Watch labels can appear before final confirmation when the pullback already has strong volume contraction and acceptable structure. Rejected context boxes are optional and disabled by default because they are diagnostic, not actionable hold zones. Trigger labels remain compact and controlled by cooldown logic. The default behavior keeps the chart active enough to be useful without making it feel crowded or noisy. 🟨 Info Panel The panel summarizes the current state: Trend Side - bullish trend, bearish trend, or no clean trend. Dry-Up Score - how strongly volume contracted inside the active or most recent pocket. Pullback Depth - retracement depth relative to the prior impulse. Trigger State - mapping, triggered, expired, boundary lost, trend lost, or waiting. Failure Risk - a compact risk read based on depth, volume behavior, and pullback duration. The panel location, panel theme, panel font size, and label font size are configurable from settings. The first panel row follows the AGPro Series standard format with a single merged blue header row. 🟪 What Makes This Different This script is not a generic trend meter. It is not a SuperTrend reaction tool. It is not a broad continuation score dashboard. It is not a volume spike or climax detector. Low Volume Pullback Zones is focused on the relationship between trend continuation and volume contraction during the retracement itself. That makes the script different from tools that only measure trend strength, moving-average reclaim, breakout quality, support/resistance reactions, or high-volume pressure events. The core question is: Did the pullback become quiet enough, shallow enough, and controlled enough to justify a mapped continuation pocket? That narrow question is what gives the script its identity. 🧭 How To Read It Bullish dry-up pocket: The trend filter is bullish, price retraces into the EMA lane, average RVOL contracts, depth remains controlled, and price reclaims the upper pocket boundary. Bearish dry-up pocket: The trend filter is bearish, price retraces upward into the EMA lane, average RVOL contracts, depth remains controlled, and price reclaims the lower pocket boundary. Failure risk: Failure risk rises when the pullback becomes too deep, too long, or too active in volume terms. A higher failure risk means the retracement is no longer behaving like a quiet continuation pause. Invalidation boundary: The dotted boundary marks the structural area where the active pocket is no longer considered valid. ⚙ Key Settings Engine Preset: Daily Swing is the default and is designed for cleaner publication-grade structure. 4H Active keeps more frequent lower-timeframe pockets. Custom uses the direct input values. Fast / Mid / Slow EMA Lengths: Control the trend structure used by the pullback engine. Minimum ADX and Minimum EMA Slope: Help the script avoid mapping dry-up pockets in flat conditions. Relative Volume Length: Defines the baseline used to measure volume dry-up. Preferred Pullback RVOL: Controls how quiet the pullback should be to receive full dry-up credit. Preferred Max Depth: Defines the ideal shallow retracement threshold. Trigger Buffer: Adds a small ATR-based confirmation buffer beyond the pullback pocket. Pocket Projection Bars: Controls how far completed pockets extend to the right. Functional Zone Width: Controls how much of the original pullback range is projected after confirmation. Smaller values create a tighter retest/hold pocket; larger values keep more of the original pullback structure. Label Cooldown and Max Structures: Keep the overlay readable and publication-clean. 📌 Best Use This indicator is best used on markets that already show directional structure. It is designed for traders who study trend continuation, relative volume behavior, pullback quality, and invalidation-based chart structure. It can be used across crypto, forex, indices, equities, and commodities, but the most useful results generally appear when the market has enough trend strength for low-volume retracements to matter. 🟧 Design Philosophy Low Volume Pullback Zones was built to keep the chart premium and readable: Clean pocket boxes instead of noisy background clutter. Restrained watch and trigger labels instead of constant marker spam. Visible invalidation boundaries instead of ambiguous zones. Professional RVOL and depth scoring instead of simple moving-average touches. Configurable panel and label sizing for different chart layouts. The script is intentionally selective. Its strongest value comes from filtering out ordinary pullbacks and highlighting the ones where trend, volume dry-up, shallow depth, and continuation confirmation align.

Indicator

Mean Reversion Corridors [AGPro Series]Mean Reversion Corridors 🔹 Overview Mean Reversion Corridors is a volatility-adaptive deviation framework that maps how far price has stretched from a chosen fair-value center and classifies that stretch into two actionable zones. An inner corridor marks the early reversion band where price is meaningfully extended but not yet extreme; an outer corridor marks statistical exhaustion where continuation becomes less probable under normal conditions. A higher-timeframe trend filter separates controlled mean reversion from failure-continuation expansions, so traders can tell fading the edge from respecting a real break — all from a single clean overlay. 🔸 Unique Edge Most band systems (Bollinger, Keltner, ATR channels) offer a single width engine and a single band pair, leaving the trader to guess whether a tag is an exhaustion or a breakout. Mean Reversion Corridors is built around three ideas that work together: - A dual-engine width unit that linearly blends ATR (range-based) and Standard Deviation (dispersion-based) so the corridor is stable on both gap-heavy and low-dispersion regimes. - A two-layer corridor with distinct roles — inner for early stretch, outer for exhaustion — rendered as transparent zones you can read at a glance. - A regime-aware state machine that uses a higher-timeframe trend filter to reclassify outer tags as either reversion candidates or failure-continuation, tracked as explicit REV and FAIL states with a bounded confirmation window. 🧠 Methodology - Center Model — user choice of EMA, VWMA (volume-aware, default) or HMA (responsive), calculated on chart closes. - Width Unit — the current volatility unit is a linear blend: (1 − blend) × ATR + blend × StDev, protected against empty volatility periods. - Corridors — inner band at ±(width × inner multiplier), outer band at ±(width × outer multiplier). Stretch is reported in width-unit sigma. - Trend Filter — the same center model is evaluated on a higher-timeframe via request.security with lookahead off, and its slope is normalized by ATR so the "strong" threshold is volatility-aware, not symbol-specific. - State Machine — tracks the most recent outer-band extreme with a rolling 20-bar confirmation window. A reversion is confirmed only when price closes back inside the inner corridor and the trend filter is not strongly aligned with the original stretch. When the trend is strongly aligned, the outer break is reclassified as corridor failure (continuation). - All conditions evaluate on confirmed bars to avoid repainting behavior. ⚡ Signals & Alerts On-chart markers: - REV — reversion confirmed back through the inner band after an outer extreme, trend-filtered. - FAIL — corridor failure / trend-aligned continuation beyond the outer band. Six bar-close alert conditions: - Inner corridor entered — upside stretch - Inner corridor entered — downside stretch - Outer corridor hit — upside exhaustion - Outer corridor hit — downside exhaustion - Reversion confirmed - Corridor failure (continuation) ⚙️ Key Inputs - Center Model — EMA / VWMA / Hull - Center Length and Volatility Length — independent lookbacks - ATR ↔ StDev Blend — balance between range and dispersion engines - Inner Corridor Width and Outer Corridor Width — in volatility units - Trend Filter — enable, timeframe, length, strength threshold - Visuals — outer-only mode, center line, fills, edge tags, state labels, label size - Info Panel — show/hide, position (six options), font size - Alerts — individually toggleable for each of the six events 📖 How to Use - Start with the defaults on your main chart timeframe. The 34-period VWMA center, balanced blend and 1.0 / 2.2 inner/outer multipliers are chosen to work as a neutral starting point across liquid markets. - Inner corridor tags are early stretch cues — they flag that price is extended, not that a turn is due. Use them as context for setups, not as standalone signals. - Outer corridor tags with the trend filter neutral or opposed are the primary mean reversion setup; wait for a REV confirmation back inside the inner band before acting. - When FAIL appears, the stretch is trend-aligned; treat the outer band as continuation, not resistance. This is the signal to stop fading. - Use the Info Panel to read current state, reversion bias, trend regime and stretch magnitude in sigma at a glance. ⚠️ Limitations & Transparency - This is an analytical tool, not a trading strategy or financial advice. It does not predict future price. - Band-based classification assumes statistical behavior; during shocks, news events or illiquid sessions the width engine can lag. - The trend filter uses a higher-timeframe slope — it reacts slower than short-term momentum by design, which is the intended behavior. - Signals are evaluated on confirmed bars; intrabar crosses are not counted as events. - Past behavior of any indicator does not guarantee future results. Always apply your own risk management.

Indicator

CCI Stoic Continuation - Crossing Signals Description The CCI Stoic Continuation is a refined take on the classic Commodity Channel Index, designed specifically for traders who prioritize clarity and trend persistence over chasing volatile swings. Instead of viewing the CCI as a simple overbought/oversold oscillator, this indicator treats it as a momentum thermometer . By utilizing a multi-layered threshold system, the indicator helps traders distinguish between a nascent trend (Early Momentum) and a confirmed, high-velocity move (Strong Momentum). How It Works The script visualizes four distinct phases of price action based on the relationship between the CCI and key threshold levels ($10$ and $80$): 1 Early Bullish (Teal) : CCI crosses above $+10$. This suggests momentum is beginning to shift upward. 2 Strong Bullish (Cyan) : CCI crosses above $+80$. This indicates high-velocity trend continuation. 3 Early Bearish (Light Orange) : CCI crosses below $-10$. The first sign of downside pressure. 4 Strong Bearish (Red) : CCI crosses below $-80$. Indicates significant conviction in the downward move. Key Features • Heat Fills : The background of the indicator pane is shaded to provide an immediate psychological "feel" for the current market environment. • Bar Coloring : Trend colors are applied directly to your price bars, allowing you to stay focused on the price action while monitoring momentum shifts. • Transition Markers : Vertical dashed lines appear in the indicator pane whenever a momentum state changes, highlighting the exact moment a "Stoic" entry or exit might be considered. • Precision Alerts : Built-in alert logic for both "Early" and "Strong" signals in both directions. Usage Tips • Trend Alignment (CRITICAL) : Do not take every signal. Only execute entries aligned with the higher-timeframe trend or overall market bias. This indicator is designed for continuation, not reversals. • The Stoic Entry : Use the "Early" signal to prepare, and look for "Strong" confirmation to enter once the trend is clearly established. • The Zero Line : The yellow zero line acts as the "Neutral Zone." Price action staying consistently above or below this line validates the broader trend bias. • Timeframes : While optimized for standard settings, it performs exceptionally well on the 15m, 1h, and 4h timeframes. Technical Settings • CCI Length : Default 20 (Adjustable for sensitivity). • Early Level: 10 (Customizable for tighter or looser entries). • Strong Level: 80 (The threshold for confirmed momentum). Author : Konstantinos Trovas Version : 6.0 (Pine Script)

Indicator

by kostastrovas

AG Pro Trend Continuation Quality [AGPro Series]AG Pro Trend Continuation Quality Overview / What it does AG Pro Trend Continuation Quality is an overlay built to evaluate whether a pullback is behaving like a healthy retracement inside an active trend, or whether the move is losing structural quality before continuation can develop. Instead of treating every dip in an uptrend or every pop in a downtrend as equally important, the script isolates pullback sequences and scores them through a continuation-quality framework. The goal is not to predict every next candle. The goal is to help traders judge whether the market is showing disciplined retracement behavior that often precedes trend continuation. The model combines trend alignment, pullback depth, pullback duration, relative volume behavior during the retracement, and the strength of the bounce candle that attempts to resume the trend. These conditions are translated into a compact quality score so the user can quickly separate cleaner continuation structures from weaker ones. On the chart, the script highlights pullback zones, tracks the retracement box, displays a continuation-quality label, and maintains an information panel that summarizes trend state, recent quality readings, best quality, average quality, and internal distribution data. The result is a workflow-oriented continuation map rather than a simple trend-following overlay. Unique Edge The distinctive part of this script is that it does not label trend continuation from trend direction alone. A bullish EMA stack or bearish EMA stack is not enough by itself. The script specifically evaluates the quality of the retracement before the continuation attempt is scored. That makes it meaningfully different from basic EMA trend tools, pullback highlighters, or single-condition continuation signals. Many tools can say that price is above or below an average. Fewer tools attempt to measure whether the internal anatomy of the pullback remains constructive for continuation. The scoring engine focuses on five practical questions: 1. Is the broader trend aligned? 2. Is the pullback still structurally controlled rather than excessively deep? 3. Did the retracement last a reasonable number of bars? 4. Did volume contract during the pullback instead of expanding aggressively against trend? 5. Did the bounce show enough intent to suggest renewed directional participation? This creates a cleaner framework for evaluating continuation setups in a way that is visual, systematic, and easier to compare across multiple pullbacks on the same chart. Methodology The script first determines directional context using EMA alignment and, when needed, swing-structure logic. This creates a working trend state that frames whether the script should be looking for bullish or bearish pullback behavior. Once a directional leg is active, the script begins tracking a pullback when price retraces against that trend. During the retracement, it measures: - how far the pullback travels relative to the prior trend leg, - how many bars the pullback lasts, - how pullback volume compares with the prior expansion leg, - and whether the bounce candle shows convincing re-engagement. These components are translated into a 0 to 10 quality score. Higher scores represent more orderly and structurally coherent pullbacks. Lower scores represent weaker or more suspect retracements. The visual output is designed to make those evaluations easier to read in real time: - pullback boxes frame the retracement zone, - optional fib-depth line shows the deepest retracement point tracked inside the pullback, - labels display score, quality grade, depth, duration, and relative volume, - panel metrics summarize the current continuation environment. Signals & Alerts The script is designed as a quality-mapping tool, not as an automatic trade system. Its event logic revolves around the completion of a pullback and the appearance of a bounce candle that attempts to resume the trend. When that bounce qualifies, the script calculates the final continuation-quality score and can display the setup if it meets the user-defined minimum score threshold. Available workflow signals include: - active bullish or bearish trend state, - pullback in progress, - completed pullback with scored continuation attempt, - high-quality continuation events when the score reaches stronger thresholds. Optional alerts can be used for: - high-quality continuation conditions, - or any scored pullback event, depending on user preference. Because alerts are tied to the script’s scoring and confirmation logic, they are intended to support chart review and decision-making rather than act as guaranteed execution instructions. Key Inputs EMA Fast Length / EMA Mid Length / EMA Slow Length These define the trend stack used to frame directional bias. Swing Pivot Length Controls the swing-structure sensitivity used in secondary trend detection. Max Pullback Depth (%) Defines how strict the script is when assessing whether a retracement remains healthy relative to the prior trend leg. Min Pullback Bars / Max Pullback Bars Controls the acceptable pullback duration window. Volume Decline Ratio Helps determine whether the retracement is occurring on lighter activity relative to the prior directional leg. Minimum Score to Display Filters weaker continuation events from the chart. Label Size / Label Offset / Reduce Label Overlap Lets the user adapt chart readability to their own zoom level and instrument volatility. Panel Position / Panel Font Size / Panel Theme Allows the continuation dashboard to be integrated into different chart layouts without dominating screen space. Limitations & Transparency This script does not know future market intent. It evaluates observable price and volume behavior after conditions form on the chart. A high score does not guarantee continuation. It only indicates that the completed pullback meets the script’s internal definition of stronger continuation quality relative to other pullbacks. The model is also sensitive to market regime. Trend continuation behavior tends to be clearer in directional markets and less reliable in highly compressed, erratic, or news-driven conditions. Volume behavior can vary across instruments and data feeds. On some assets, especially where volume data is synthetic, limited, or structurally uneven, the volume component should be interpreted with caution. Like other structure-based tools, this script can produce different practical usefulness depending on timeframe, instrument, volatility regime, and chart cleanliness. Users should calibrate inputs based on the market they are studying rather than treating defaults as universal settings. This script should not be viewed as: - a prediction engine, - a standalone trade system, - a replacement for risk management, - or a guarantee that a bounce will develop into a full continuation leg. Risk Disclosure This script is for chart analysis and educational use. It is designed to help users study pullback quality inside established trends, not to provide financial, investment, or trading advice. All trading and investing involve risk. Market conditions can change quickly, and even high-quality continuation structures can fail. Users should apply their own confirmation process, position sizing rules, and risk controls before acting on any market observation. Use the script as a structured continuation framework, not as certainty.

Indicator

AG Pro Supertrend Pullback Quality [AGPro Series]AG Pro Supertrend Pullback Quality OVERVIEW AG Pro Supertrend Pullback Quality is an overlay indicator built to evaluate the quality of pullbacks that occur inside an already established Supertrend direction. This script is not designed as a simple Supertrend flip tool. Instead of focusing on every direction change, it studies whether a pullback into the active Supertrend structure is orderly, controlled, and potentially supportive of trend continuation. The goal is to help users distinguish between clean retracement behavior and weaker pullbacks that may reflect noise, instability, or reduced trend quality. The indicator combines Supertrend context with a structured quality model. When price interacts with the active trend line and surrounding touch zone, the script evaluates that event using several internal dimensions such as pullback depth, line acceptance, rejection behavior, recovery efficiency, and local noise conditions. The result is summarized into a class-based readout so the chart remains visual and practical. Because of this design, the script is better understood as a continuation-quality classifier than as a traditional signal generator. It does not attempt to predict every reversal, and it does not assume that all pullbacks within trend are equal. Its main purpose is to organize pullback structure into a clearer analytical framework. UNIQUE EDGE The core difference of this script is its emphasis on pullback quality rather than trend flips. Many Supertrend-based tools are centered around directional transitions. That approach can be useful, but it also tends to compress several different market behaviors into a single yes/no event. In practice, not every trend pullback carries the same structural character. Some are shallow and noisy, some are too deep, and some interact with the trend line in a more orderly way before continuation attempts develop. AG Pro Supertrend Pullback Quality focuses on that middle layer. It studies what happens after a trend is already active and asks a more specific question: is the current pullback behaving like a controlled retracement, or is it showing weaker continuation quality? This creates a more workflow-oriented reading model. Instead of using Supertrend only as a directional switch, the script uses it as a live structural reference and grades the quality of pullback interaction around that reference. That makes the tool different from standard flip scripts, entry-only markers, and pure trend state displays. METHODOLOGY The script begins with the native Supertrend framework to define active directional context. Once a bullish or bearish state is established, a touch zone is formed around the relevant Supertrend line using ATR-based spacing. This zone is not meant to represent a guaranteed support or resistance region. It is a structured interaction area used to evaluate how price behaves during retracement. From there, the script evaluates pullback quality through several components: 1) Trend State and Age A newly flipped trend often behaves differently from a more established one. For that reason, the script includes a stabilization concept and tracks how mature the current trend leg is before weighting pullback quality. 2) Pullback Depth The retracement is measured relative to ATR and recent price structure. Pullbacks that are too shallow may carry limited informational value, while pullbacks that are too deep may indicate reduced continuation quality. The script scores depth inside a preferred operating range rather than treating all pullbacks equally. 3) Acceptance Relative to the Supertrend Line A pullback is not evaluated only by whether price touches the zone. The script also checks whether price remains positioned in a way that supports the active trend state. This helps separate cleaner acceptance behavior from weaker interaction. 4) Rejection Character When price reaches the pullback area, candle behavior matters. The script looks at rejection-style characteristics within the touch and recovery window to estimate whether price is responding constructively to the active trend reference. 5) Recovery Efficiency After contact with the zone, the script measures whether the market recovers with enough directional efficiency. Fast and orderly recovery behavior is treated differently from hesitant or weak re-expansion. 6) Noise Filter Frequent directional churn and inefficient travel can reduce the usefulness of pullback classification. The script includes a noise component so that structurally weaker environments do not receive the same quality treatment as cleaner trend conditions. These components are combined into a final score, which is then mapped into a simple class output. This makes the visual output easier to read without hiding the fact that pullback quality is multi-factor by nature. QUALITY CLASSES The final result is summarized into four broad classes: A-Class Represents the strongest pullback quality readings among the currently evaluated conditions. B-Class Represents constructive pullback quality, but with less strength than the highest tier. C-Class Represents acceptable but weaker pullback structure. Weak Represents pullback conditions that do not meet the stronger quality profile. These classes are meant to organize chart behavior, not to forecast a required outcome. They should be interpreted within broader market context, timeframe behavior, and the user’s own process. CHART ELEMENTS The script includes several visual layers: - Supertrend line for directional context - ATR-based touch zone around the active Supertrend reference - Pullback quality labels for qualified events - Compact information panel showing trend state, depth, acceptance, rejection, recovery, noise, and final status The visual design is intentionally restrained so that price remains readable. The goal is to keep the chart informative without turning the overlay into a dense signal map. SIGNALS AND ALERTS The script can generate alerts for the following event types: - Bullish Pullback Quality Ready - Bearish Pullback Quality Ready - Bullish Pullback Confirmed - Bearish Pullback Confirmed - Bullish Pullback Invalidated - Bearish Pullback Invalidated In general terms, Ready events indicate that the recent pullback has achieved the minimum quality conditions defined by the model. Confirmed events require stronger follow-through logic. Invalidated events help flag cases where a previously qualified pullback context is no longer aligned with the prior state. These alerts are designed as structured workflow checkpoints rather than standalone instructions. KEY INPUTS ATR Length Controls the ATR foundation used by the Supertrend and zone logic. Supertrend Factor Adjusts the spacing and sensitivity of the Supertrend calculation. Pullback Lookback Defines the local structure window used during pullback evaluation. Stabilization Bars After Flip Helps reduce the weight of very early post-flip behavior. Recovery Window Defines how long the script should monitor post-touch recovery behavior. Touch Zone Size and Max Line Penetration Control how the script defines valid interaction around the Supertrend line. Depth Range Inputs Allow users to define what the script should consider a more optimal pullback depth range. Ready and Confirmed Score Thresholds Allow the strictness of class qualification and alert generation to be tuned. LIMITATIONS AND TRANSPARENCY This script is an analytical classification tool. It does not know future price action, and it does not guarantee continuation after a qualified pullback. Like other trend-following frameworks, Supertrend-based structure can become less reliable during choppy or highly unstable market phases. The inclusion of a noise filter helps address that issue, but it does not remove it. The quality model is also sensitive to volatility, timeframe selection, and the interaction between ATR-based spacing and local structure. A pullback that appears constructive on one timeframe may not behave the same way on another. Users should test settings carefully and interpret results in context. Labels and classes summarize a model output. They are not a substitute for broader chart reading, risk planning, liquidity awareness, or execution discipline. RISK DISCLOSURE This script is provided for technical analysis and chart study only. It does not provide financial, investment, legal, or tax advice. Trading and investing involve risk. Past behavior, structural classification, and indicator output do not guarantee future results. Users are responsible for their own decisions, testing process, and risk management framework.

Indicator

AG Pro MACD Drift Filter [AGPro Series]AG Pro MACD Drift Filter Overview AG Pro MACD Drift Filter is a rules-based momentum quality indicator built around MACD structure, persistence, and decay behavior. The script is not designed to treat every MACD expansion, crossover, or positive histogram print as equally meaningful. Its purpose is to help users evaluate whether current momentum is sustaining cleanly, weakening internally, or drifting into lower-quality continuation. In many charts, the difficult part is not detecting that momentum exists. The difficult part is deciding whether that momentum is stable enough to respect, fragile enough to fade, or already starting to lose transmission quality before price fully reflects the slowdown. This indicator is built for that specific problem. Rather than framing MACD as a simple signal engine, AG Pro MACD Drift Filter uses a structured state model to organize momentum into practical categories such as bullish drift, bearish drift, neutral or unstable conditions, and decay-prone phases. The output is intended to improve chart interpretation, not to replace broader market context. What the script does The script studies the relationship between the MACD line, the signal line, the histogram, and zero-line behavior in order to classify the current momentum environment. Its main objective is to answer questions such as: - Is current momentum expanding with acceptable continuity? - Is the histogram improving in a way that supports follow-through, or only producing a temporary burst? - Is MACD maintaining stable directional structure, or repeatedly slipping back toward unstable conditions? - Is separation between MACD and signal line supporting continuation, or beginning to compress? - Is the current move still carrying directional quality, or transitioning into decay? The result is a compact momentum-quality framework that can be used as a continuation filter, a caution filter, or a chart-organization layer. Why this script is different This script is not presented as a generic MACD crossover tool. Its focus is not on counting crosses or highlighting every histogram color shift. Instead, it is built around the idea that momentum quality matters more than raw momentum presence. A move can remain above zero and still lose internal quality. A histogram can expand and still produce weak follow-through. A crossover can occur inside unstable conditions and carry less analytical value than its appearance suggests. AG Pro MACD Drift Filter attempts to separate those cases by combining several dimensions of MACD behavior into a rules-based drift model. In practical terms, the script attempts to distinguish between: - sustained directional drift - fragile continuation - internal weakening - contraction and decay risk - unstable zero-line behavior This makes it more suitable as a momentum filter than as a standalone trigger engine. Core methodology The model evaluates momentum quality through multiple components rather than a single event. 1) Expansion quality The script evaluates whether histogram magnitude is expanding with enough consistency to support the idea of directional development. A simple increase in histogram size is not treated as sufficient on its own. The model also looks at whether that expansion is steady enough to qualify as usable drift. 2) Zero-line persistence Momentum states near the zero line can be more fragile and more prone to whipsaw. For that reason, the script evaluates whether MACD is maintaining enough distance and persistence relative to the zero area, or whether it is repeatedly slipping back toward instability. 3) Signal-line separation quality The distance between MACD and signal line is part of the script's continuation logic. Expanding separation can support the case for cleaner momentum conditions, while compressing separation can indicate that the move is losing internal pressure even if price has not fully reacted yet. 4) Continuity The script tracks whether directional alignment is being maintained across bars. The goal is to reduce the analytical weight of fragmented or inconsistent momentum states and give more weight to cleaner persistence. 5) Decay pressure The model also monitors conditions that can reduce the quality of current drift. Compression, weakening histogram behavior, increased instability, and loss of directional efficiency contribute to decay risk. These components are combined into a structured quality score and a state engine. Main outputs State The State row summarizes the current momentum regime. Depending on conditions, the script can classify the environment as bullish drift, bearish drift, neutral or unstable, or other transition states derived from the internal logic. Quality The Quality value summarizes the current momentum-quality condition on a 0 to 100 scale. It is not intended as a standalone trade score. It is a compact way to express whether the underlying drift structure is currently weak, fragile, usable, or stronger relative to the script's framework. Persistence Persistence reflects whether directional conditions are being maintained with enough stability to be respected. This value is particularly useful when users want to distinguish between brief impulses and cleaner continuation behavior. Decay Risk Decay Risk estimates whether the move is beginning to lose quality internally. Higher decay risk does not automatically imply reversal. It means the current directional structure is carrying less internal efficiency and may deserve more caution. Zero-Line This field summarizes whether MACD is operating above zero, below zero, or in a more unstable zone. It is included because zero-line persistence often changes the interpretive quality of otherwise similar MACD readings. Separation This row describes whether MACD and signal line are expanding apart, remaining relatively stable, or compressing. It can help users identify whether momentum is gaining transmission strength or narrowing. Phase The script groups behavior into broad phases such as expansion, plateau, or contraction. This helps users interpret whether the current environment is still developing or beginning to cool. Bias Bias is not a buy or sell instruction. It is a compact interpretation layer that summarizes whether the current structure is more consistent with continuation, caution, or weaker follow-through. Mode The script includes a mode framework so users can run the tool with a more balanced or more selective posture, depending on how strict they want the state engine to be. How to read the indicator One practical way to use the script is to treat it as a continuation-quality filter. For example, a bullish chart condition may look more structurally convincing when: - the state remains in a bullish drift condition - the quality score is improving or holding at healthier levels - persistence remains stable - separation is not compressing aggressively - decay risk is contained On the other hand, users may choose to become more cautious when: - price still appears constructive, but quality is fading - separation compresses while continuation expectations remain elevated - the state returns to neutral or unstable conditions - decay risk rises without meaningful renewal in quality - the move remains active on price, but internal MACD structure begins to deteriorate This script can also be used alongside support and resistance analysis, broader trend context, structural breaks, pullback logic, or other risk-management frameworks. Alerts The script includes alert conditions tied to meaningful state changes rather than arbitrary noise. Examples include: - Bullish Drift Confirmed - Bearish Drift Confirmed - Bullish Drift Weakening - Bearish Drift Weakening - Momentum Decay Warning - Neutral Reset - High-Quality Drift Detected - Low-Quality Expansion Detected These alerts are intended to help users monitor changes in momentum quality, not to function as guaranteed trading signals. Key inputs Core settings include the source series and standard MACD lengths. Engine settings allow users to control the quality lookback, persistence window, decay sensitivity, instability penalty, zero-line stability filtering, and strictness. Display settings manage panel visibility, panel position, theme handling, label size, label density, and optional visual styling. Because different symbols and timeframes can produce different rhythm characteristics, users may want to experiment with persistence and sensitivity settings rather than assuming one configuration fits all market conditions. Suggested interpretation The strongest use case for this tool is not signal substitution, but signal qualification. In other words, many users may find it more useful to ask: "Does this move deserve continuation bias?" instead of asking: "Did MACD cross?" That distinction is central to the script. The script does not assume that every positive histogram bar is actionable. It does not assume that every crossover deserves equal analytical weight. It attempts to organize momentum conditions into a more structured framework so users can better judge whether current directional pressure is persistent, fragile, or fading. Limitations and transparency This indicator does not predict future price movement. It does not guarantee continuation, reversal, breakout success, or trade performance. It does not replace broader chart context, volatility analysis, liquidity considerations, or risk management. Like other momentum-based tools, it can still produce less useful readings in highly choppy environments, low-volatility compression regimes, or sudden event-driven price conditions. Users should interpret the output in context and validate whether the script's settings fit the instrument and timeframe they are studying. The state engine is designed to organize information, not to remove uncertainty from market behavior. Risk disclosure This script is for educational and analytical use. It should not be treated as financial advice, investment advice, or a promise of outcome. Users remain responsible for their own decision-making, trade planning, and risk control.

Indicator

LOWESS Reversal & Continuation [UAlgo]LOWESS Reversal & Continuation is a trend sensitive signal indicator built around a local LOWESS style smoothing engine that adapts to both price structure and volatility. Its core objective is to separate meaningful directional shifts from routine market noise by combining smoothed trend estimation, ATR normalized slope analysis, acceleration filtering, and disciplined signal gating. Instead of relying on a conventional moving average crossover model, the script fits a locally weighted regression over a rolling window of recent bars. This produces a smoother and more context aware estimate of price direction, while still reacting fast enough to identify emerging reversals and pullback continuation opportunities. Because the estimate is local and weighted, recent bars have greater influence than distant bars, which helps the line remain relevant to current market conditions. The indicator classifies signals into two practical categories. Reversal signals aim to identify transitions where directional pressure flips from negative to positive, or from positive to negative. Continuation signals aim to identify pullback resumption behavior inside an already established directional regime. This makes the script suitable for traders who want a single tool that can highlight both early trend change candidates and trend following re entry points. To improve robustness, the script also supports optional robust weighting passes. These passes reduce the influence of outlier bars on the LOWESS fit, which is especially useful during abnormal spikes, illiquid conditions, or isolated volatility shocks. In addition, all slope readings are normalized by ATR, allowing the trend filter to scale more consistently across instruments, timeframes, and volatility regimes. From a workflow perspective, the script is designed for clean chart usage. It colors the LOWESS line according to directional bias, draws an adaptive ATR based band around the curve, supports optional signal labels, limits on chart label clutter through an internal object manager, and provides alert conditions for all signal classes. The result is a visually compact but analytically rich framework for tracking trend reversals and continuation setups in real time. 🔹 Features 🔸 LOWESS Style Local Trend Estimation The heart of the script is a locally weighted linear regression model applied over a rolling lookback window. Each bar inside the window receives a distance based weight, meaning bars closer to the current bar have a larger impact on the estimate. This produces a smooth trend line that is more adaptive than many standard moving average techniques and better suited for identifying subtle turning points. 🔸 Optional Robust Regression Passes The indicator can apply additional robust weighting iterations after the initial fit. Residuals are measured relative to the first regression pass, and bars with unusually large residuals receive progressively lower influence in later passes. This reduces distortion from extreme candles and helps the LOWESS curve remain stable during irregular price events. 🔸 ATR Normalized Slope Filter The script does not use raw slope in isolation. Instead, the LOWESS slope is divided by ATR, creating a volatility adjusted slope metric. This makes the directional threshold more portable across markets and timeframes. A slope that may be meaningful on a slow instrument can be very different on a high volatility asset, so ATR normalization creates a more balanced regime filter. 🔸 Reversal Signal Detection Bullish and bearish reversal signals are triggered when the ATR normalized slope crosses the zero line and is confirmed by directional acceleration and price location relative to the LOWESS line. In other words, the script looks for a meaningful change in smoothed directional pressure, not simply a visual bend in the curve. This makes reversal signals more selective and better aligned with structural momentum shifts. 🔸 Continuation Signal Detection Continuation logic is designed to capture trend resumption after a pullback. The script first requires an established directional regime, then checks whether price recently interacted with the LOWESS line, and finally waits for price to reclaim the trend direction with positive confirming acceleration. This helps distinguish genuine continuation behavior from random sideways oscillation around the curve. 🔸 Pullback Validation Window A dedicated pullback lookback parameter ensures that continuation signals only occur when price has interacted with the LOWESS line within a recent number of bars. This prevents stale continuation triggers and keeps the setup focused on recent retracement behavior rather than distant historical interactions. 🔸 Close Confirmation Option Signals can be gated so they only become valid after bar close. This is useful for traders who want to avoid intrabar flicker and premature triggers on live candles. When disabled, the script can respond more aggressively in real time, which may suit faster execution styles. 🔸 Signal Cooldown Logic To reduce repetitive clustering, the indicator tracks the last occurrence of each signal type and imposes a cooldown period before another signal of the same class can be printed. Separate cooldown tracking is maintained for bullish reversals, bearish reversals, bullish continuations, and bearish continuations. 🔸 Adaptive ATR Band An optional ATR based band can be plotted around the LOWESS line. This band provides a visual sense of dynamic range around the smoothed path and can help contextualize whether price is moving in a relatively stretched or balanced position around the trend estimate. 🔸 Directional Visual Coloring The LOWESS curve changes color according to directional bias derived from the ATR normalized slope. This gives the user an immediate visual read on whether the smoothed trend pressure is currently positive, negative, or unavailable due to insufficient historical data. 🔸 Lightweight Label Management When signal labels are enabled, the script uses an internal label book to store and manage plotted objects. Older labels are automatically deleted once the configured maximum is exceeded, helping keep the chart readable and preventing uncontrolled label buildup. 🔸 Full Alert Support Alert conditions are included for all four event classes: Bullish LOWESS Reversal Bearish LOWESS Reversal Bullish LOWESS Continuation Bearish LOWESS Continuation This allows the script to be used not only as a visual analysis tool, but also as an event driven signal framework for scanning and real time notification workflows. 🔹 Calculations 1) Rolling LOWESS Window Construction For every bar, the script loads the most recent length values of the selected source into an internal rolling window. This window becomes the data sample used for the local regression fit. method loadWindow(LowessEngine this, float seriesValue) => for i = 0 to this.length - 1 array.set(this.y, i, seriesValue ) Interpretation: The regression is always fit on the latest rolling block of data. The rightmost point in the window corresponds to the current estimation point. This makes the smoothing local rather than global. 2) Distance Based LOWESS Weights The script uses a tricube kernel to assign weights based on each point’s distance from the current bar inside the regression window. Bars nearer to the most recent observation receive a larger weight, while distant bars contribute less. method buildDistanceWeights(LowessEngine this, int spanBars) => int x0 = this.length - 1 float bandwidth = math.max(spanBars, 1) for i = 0 to this.length - 1 float u = math.abs(i - x0) / bandwidth float w = u < 1 ? math.pow(1 - math.pow(u, 3), 3) : 0.0 array.set(this.baseW, i, w) Interpretation of the conditions: x0 is the current evaluation point inside the rolling window. u is normalized distance from each historical point to the current point. The tricube weight decays smoothly as distance increases. Bars outside the effective span receive zero weight. This is what gives the LOWESS fit its local character and helps it stay focused on recent structure. 3) Weighted Local Linear Regression After weights are built, the script solves a weighted linear regression over the local window. The output is a local intercept and local slope. The final LOWESS estimate is the fitted value at the most recent point in the sample. method solveWeightedLinear(LowessEngine this, array weights) => float s0 = 0.0 float s1 = 0.0 float s2 = 0.0 float t0 = 0.0 float t1 = 0.0 for i = 0 to this.length - 1 float w = array.get(weights, i) float x = array.get(this.x, i) float y = array.get(this.y, i) s0 += w s1 += w * x s2 += w * x * x t0 += w * y t1 += w * x * y float den = s0 * s2 - s1 * s1 if s0 <= 1e-10 or math.abs(den) <= 1e-10 this.slope := 0.0 this.intercept := array.get(this.y, this.length - 1) else this.slope := (s0 * t1 - s1 * t0) / den this.intercept := (t0 - this.slope * s1) / s0 float x0 = this.length - 1 this.yhat := this.intercept + this.slope * x0 Interpretation: this.slope measures the local directional gradient of the LOWESS fit. this.yhat is the current LOWESS value plotted on the chart. If the weighted regression becomes numerically unstable, the script falls back to a flat slope and uses the latest source value as intercept. 4) Robust Reweighting Passes To reduce the impact of outliers, the script can run additional robust passes after the initial fit. It first calculates the absolute residual of each point relative to the fitted line, then computes a median based scale estimate, and finally applies a bisquare style robust weighting function. method updateRobustWeights(LowessEngine this) => for i = 0 to this.length - 1 float xi = array.get(this.x, i) float yi = array.get(this.y, i) float fit = this.intercept + this.slope * xi array.set(this.residualAbs, i, math.abs(yi - fit)) float med = this.residualAbs.median() float scale = med * 6.0 if na(scale) or scale <= 1e-10 for i = 0 to this.length - 1 array.set(this.robustW, i, 1.0) else for i = 0 to this.length - 1 float u = array.get(this.residualAbs, i) / scale float rw = u < 1 ? math.pow(1 - math.pow(u, 2), 2) : 0.0 array.set(this.robustW, i, rw) Interpretation: Large residual bars are treated as less trustworthy observations. The median residual acts as a robust scale anchor. Higher residuals receive smaller robust weights in subsequent fits. This improves stability during abnormal spikes and irregular candles. 5) ATR Normalized Slope and Acceleration Once the LOWESS fit is complete, the script converts raw slope into a volatility aware slope by dividing it by ATR. It also computes a first-difference style acceleration term to measure whether directional pressure is strengthening or weakening. float slopeAtr = not na(slope) and atr > 0 ? slope / atr : na float accelAtr = slopeAtr - nz(slopeAtr ) Interpretation: slopeAtr expresses trend slope in ATR units. accelAtr measures change in normalized slope from one bar to the next. Positive acceleration supports bullish developments. Negative acceleration supports bearish developments. This combination helps the script distinguish a genuine regime shift from a weak or decaying slope condition. 6) Directional Regime Classification The script uses a user defined ATR normalized threshold to determine whether the current smoothed state qualifies as a bullish or bearish directional regime. bool upRegime = not na(slopeAtr) and slopeAtr > slopeThreshold bool downRegime = not na(slopeAtr) and slopeAtr < -slopeThreshold Interpretation: A positive but very small slope is not automatically treated as a valid uptrend. A negative but very small slope is not automatically treated as a valid downtrend. The threshold acts as a noise filter that requires the trend estimate to have enough magnitude before continuation logic becomes eligible. 7) Pullback Detection Relative to LOWESS Continuation signals depend on recent interaction with the LOWESS line. The script checks how many bars have passed since price moved through the LOWESS curve in the opposite direction of the active regime. int bullPbBars = int(nz(ta.barssince(low < lowess), 100000)) int bearPbBars = int(nz(ta.barssince(high > lowess), 100000)) bool bullPullbackRecent = bullPbBars <= pullbackLookback bool bearPullbackRecent = bearPbBars <= pullbackLookback Interpretation: In a bullish regime, price must have recently dipped below the LOWESS line to qualify as a pullback. In a bearish regime, price must have recently pushed above the LOWESS line to qualify as a pullback. The pullbackLookback parameter controls how recent that interaction must be. 8) Reversal Signal Logic Bullish and bearish reversal signals are built from zero line slope crossings, directional acceleration, and price confirmation relative to the LOWESS curve. bool slopeCrossUp = ta.crossover(slopeAtr, 0) bool slopeCrossDown = ta.crossunder(slopeAtr, 0) bool bullRevRaw = enoughBars and slopeCrossUp and accelAtr > 0 and close > lowess bool bearRevRaw = enoughBars and slopeCrossDown and accelAtr < 0 and close < lowess Interpretation of the bullish reversal conditions: slopeCrossUp means the normalized LOWESS slope has crossed from negative to positive. accelAtr > 0 means the slope is improving, not merely touching zero. close > lowess confirms that price is positioned above the smoothed trend estimate. Interpretation of the bearish reversal conditions: slopeCrossDown means the normalized LOWESS slope has crossed from positive to negative. accelAtr < 0 confirms weakening trend pressure. close < lowess confirms price is positioned below the LOWESS line. This makes reversal signals more selective than a simple moving average crossover style event. 9) Continuation Signal Logic Continuation signals are only allowed when a directional regime already exists, a recent pullback has occurred, price crosses back through the LOWESS line in trend direction, and acceleration confirms that the move is regaining strength. bool priceCrossUp = ta.crossover(close, lowess) bool priceCrossDown = ta.crossunder(close, lowess) bool bullContRaw = enoughBars and upRegime and bullPullbackRecent and priceCrossUp and accelAtr > 0 and not bullRevRaw bool bearContRaw = enoughBars and downRegime and bearPullbackRecent and priceCrossDown and accelAtr < 0 and not bearRevRaw Interpretation of the bullish continuation conditions: The LOWESS slope must already define an uptrend regime. Price must have recently pulled back below the LOWESS line. Price must cross back above the LOWESS line. Acceleration must be positive. A reversal signal takes priority, so continuation does not print if the same bar qualifies as a bullish reversal. Interpretation of the bearish continuation conditions is the exact inverse. 10) Close Confirmation and Cooldown Control The final signal is gated by an optional bar close confirmation and a per-signal cooldown filter. bool gate = confirmClose ? barstate.isconfirmed : true bool bullRev = gate and bullRevRaw and canBullRev(signalState, cooldownBars) bool bearRev = gate and bearRevRaw and canBearRev(signalState, cooldownBars) bool bullCont = gate and bullContRaw and canBullCont(signalState, cooldownBars) bool bearCont = gate and bearContRaw and canBearCont(signalState, cooldownBars) Interpretation: When close confirmation is enabled, signals only become valid after the candle is closed. Cooldown logic prevents repeated printing of the same signal class within a short number of bars. This reduces visual clutter and avoids excessive re-triggering during choppy conditions. 11) Adaptive Band Construction The script can draw an ATR-based envelope around the LOWESS line to provide volatility context. float upperBand = showBand and not na(lowess) ? lowess + atr * bandAtrMult : na float lowerBand = showBand and not na(lowess) ? lowess - atr * bandAtrMult : na Interpretation: The band expands and contracts with ATR. This creates a dynamic visual frame around the LOWESS estimate. It is not a signal by itself, but it helps contextualize the distance between current price and the smoothed trend path. 12) Visual Output and Alerts The LOWESS line changes color according to slope direction, optional labels mark reversal and continuation events, and alert conditions are available for all four signal types. alertcondition(bullRev, "Bullish LOWESS Reversal", "Bullish LOWESS reversal on {{ticker}}") alertcondition(bearRev, "Bearish LOWESS Reversal", "Bearish LOWESS reversal on {{ticker}}") alertcondition(bullCont, "Bullish LOWESS Continuation", "Bullish LOWESS continuation on {{ticker}}") alertcondition(bearCont, "Bearish LOWESS Continuation", "Bearish LOWESS continuation on {{ticker}}") In practical terms, this means the indicator can serve both as a visual discretionary analysis tool and as an alert driven framework for identifying smoothed trend reversals and pullback continuation opportunities with a volatility aware filter structure.

Indicator

ZenAlgo - ABC This indicator identifies a three-point price structure (X, A, B) and projects proportional price levels forward from point B. It uses either automatically detected swing points or manually selected anchors and then builds a forward projection framework based on the relative movement between X and A. 1. Anchor Point Selection (X, A, B) The script first determines three key price points that define the reference movement. Automatic mode When manual anchors are disabled, the indicator scans historical bars to detect local highs and lows using a fixed number of bars on the left and right side. A pivot high is confirmed only after enough future bars exist, and the same applies to pivot lows. This avoids using information that is not yet available in real time. Detected pivots are stored in sequence: The previous confirmed pivot becomes X The next confirmed pivot becomes A The most recent confirmed pivot becomes B To avoid repeatedly using the same type of pivot, the script alternates between highs and lows. This ensures that X, A, and B always represent a swing structure instead of a flat sequence. Manual mode When manual anchors are enabled, the user defines three timestamps. The script captures the price and bar index at those times. After all three points are collected, the script adjusts them to represent true extremes inside their bars. Depending on direction, it replaces closes with highs or lows so that X and A form a valid swing, and B represents a corrective endpoint. If manual anchors are incomplete, the script falls back to the automatic pivots. 2. Validation and Direction Detection After anchors are collected, the script checks whether all three points are available. If any of them is missing, no projection is drawn. When X, A, and B exist, the script determines the directional context: If A is above X, the structure is treated as bullish If A is below X, the structure is treated as bearish The vertical distance between X and A defines the reference movement. This distance is treated as the base unit for all further projections. This approach assumes that the impulse move from X to A represents the dominant directional leg, and that B represents a retracement or pause within that structure. 3. Projection Calculation All projected levels are derived from the difference between X and A and are applied starting from point B. For each predefined ratio: In bullish structures, the distance from X to A is added upward from B In bearish structures, the distance is subtracted downward from B This produces a set of horizontal price levels that are proportional to the initial impulse. No fixed price values are used. All levels scale automatically with market volatility and with the size of the X–A movement. 4. Configurable Levels and Naming The indicator defines a list of projection ratios that represent retracement, extension, and continuation zones. Each level can be enabled or disabled and has an adjustable color and transparency. Each level may be displayed in two ways: As a descriptive name combined with the ratio As a numeric ratio combined with the projected price The naming system maps specific ratios to semantic labels such as base, entry, intermediate targets, main target, and extended continuation levels. These names are fixed in the script and reflect their relative position in the projection structure. 5. Visual Construction On the most recent bar, the script clears all previously drawn elements and rebuilds the full structure. It then draws: A dashed line from X to A and from A to B to visualize the underlying swing Labels at X, A, and B with direction-aware placement Horizontal lines from B into the future for each enabled level Text labels at the end of each level line All level lines extend a configurable number of bars to the right of the current bar, creating a forward projection area. Transparency values are fixed to maintain visual consistency and to avoid obscuring price action. 6. Zone Construction In addition to individual lines, the script can draw shaded zones between selected pairs of levels. These zones include: A retracement zone between two closely spaced mid-range ratios A target zone between the main extension levels An extended continuation zone above or below the main target Zones are drawn as semi-transparent rectangles from point B to the right extension limit. Their vertical boundaries are defined by the corresponding projected levels. These zones highlight areas where price interaction with multiple proportional levels is expected. 7. Display and Update Logic The drawing process runs only on the most recent bar. This prevents excessive historical objects and ensures that projections always reflect the latest confirmed X, A, and B. All graphical objects are stored internally and deleted before redrawing. This avoids overlap and keeps the chart synchronized with the current structure. 8. Interpretation of Levels The projected levels represent proportional price distances derived from the prior impulse. They should be interpreted as: Reference zones for potential reactions Areas of interest for continuation or exhaustion Context for managing existing positions Lower ratios correspond to shallow projections near B. Higher ratios correspond to extended moves away from B. No level represents a guaranteed support or resistance. All values are conditional on the validity of the underlying X–A–B structure. 9. Practical Usage Typical usage follows this workflow: Wait for the script to confirm X, A, and B Observe whether the structure is bullish or bearish Use projected levels as reference for planning entries, exits, and risk placement Re-evaluate when a new pivot replaces X, A, or B Manual anchors can be used when the user wants to enforce a specific structure that differs from the automatic pivot logic. The indicator is designed for contextual analysis rather than standalone signal generation. 10. Limitations and Disclaimers This indicator depends on confirmed pivots. In fast or highly volatile markets, pivot confirmation can lag, which delays projections. Structures may be invalidated when: Price forms new extremes before a pivot is confirmed Market conditions change abruptly Range-bound markets produce frequent small pivots In such conditions, projected levels may shift frequently or lose relevance. The method assumes that past impulse size is a meaningful reference for future movement. This assumption does not hold in all market regimes. The indicator does not incorporate volume, order flow, trend filters, or volatility regimes. It should therefore be combined with additional analysis. 11. Relationship to Manual Fibonacci and ABC Tools Unlike standard manual Fibonacci retracement or projection tools, this indicator does not rely on subjective anchor placement. In automatic mode, swing points are selected using a fixed pivot detection process, which enforces consistent structural rules. Anchor points are derived from confirmed price pivots instead of manual selection The X–A–B structure is maintained automatically as new swings form All projection levels and zones are recalculated and redrawn dynamically This removes the need for repeated manual adjustments when market structure changes. Compared to typical ABC projection tools, the script formalizes the entire workflow. The selection of reference points, the construction of proportional levels, and the management of graphical objects are handled programmatically. This prevents inconsistent anchor choices, reduces user interpretation bias, and ensures that projections always reflect the most recent validated structure. The integrated zone construction further extends standard projection methods by grouping related levels into continuous price regions, rather than displaying only isolated horizontal lines. Summary This script identifies swing-based X–A–B structures using confirmed pivots or manual anchors, measures the impulse between X and A, and projects proportional levels from B. All displayed lines and zones are derived from this single reference movement and update dynamically as new pivots appear. The indicator provides a structured projection framework based on historical price geometry rather than predictive signals.

Indicator

by ZenAlgo_Official

StO Price Action - Impulse Candle Short Summary - Highlights impulse candles based on relative momentum - Compares current or previous closed candles against prior price movement - Uses a configurable momentum factor to filter significant impulses - Designed to make strong directional candles visually stand out Full Description Overview - Identifies impulse candles with strong momentum - Focuses on candle-to-candle expansion rather than trend or structure - Intended to visually emphasize moments of acceleration in price - Works as a complementary tool to price action and volatility analysis Impulse Candle Logic - Impulse candles are detected by comparing the current candle range to previous candles - A candle is considered an impulse when its range exceeds prior movement by a defined factor - The comparison basis can be (current forming Candle, previous fully closed Candle) Momentum Factor - The momentum factor defines how much stronger a candle must be compared to earlier candles - Higher values filter out smaller moves and highlight only extreme impulses - Lower values allow more frequent impulse detection - Helps adapt the indicator to different instruments and volatility regimes Range Calculation - Two range calculation modes are available: - Open / Close (Body range): - Measures body-based momentum - Focuses on directional conviction - High / Low (Candle range): - Measures full volatility expansion - Includes wicks and intrabar extremes Visualization - Impulse candles are highlighted using a customizable bar color - Designed to remain minimal and unobtrusive Alerts - Optional alert can be enabled after detected impulse candles - Useful for monitoring momentum shifts without constant screen time Usage - Suitable for breakout detection and momentum confirmation - Helps identify volatility expansion phases - Can be used for entry timing or trade management Notes - This indicator does not predict direction on its own - Impulse candles may occur in both trending and ranging markets - Best used in combination with structure, levels or higher-timeframe context - Momentum thresholds should be adjusted per market and timeframe

Indicator

Strict EMA Wick Pullback Trend Continuation This script is a strict EMA pullback entry model designed exclusively for trend continuation traders. It does NOT attempt to predict tops or bottoms. It waits for established trends and enters only on shallow pullbacks with defined risk. OVERVIEW This strategy is built for disciplined trend continuation trading. It looks for shallow pullbacks into a fast EMA during established uptrends and exits when trend structure breaks. There is no counter-trend logic and no optimization for win rate. ENTRY LOGIC A long entry is triggered when: • Price pulls back into the fast EMA area (wick touch) • The pullback remains above the slow EMA (trend integrity) • The candle closes bullish • Optional: slow EMA is rising (trend filter) RISK MANAGEMENT • A dynamic stop is placed just below the fast EMA • The stop only tightens — it never loosens • Losses are small and predefined • The system is designed to be scaled via position sizing EXIT LOGIC • Positions are closed when the fast EMA crosses below the slow EMA • This represents a breakdown of trend continuation structure WHAT THIS STRATEGY IS • A trend continuation entry module • Risk-first by design • Low win-rate, high payoff profile • Designed for trending markets WHAT THIS STRATEGY IS NOT • Not a reversal system • Not a scalping strategy • Not a signal service • Not optimized for ranging markets • Not a promise of profitability IMPORTANT NOTES • Long-only by design (BTC context) • No repainting logic • Best used with higher-timeframe trend confirmation • This is a tool, not financial advice Recommended markets: BTCUSD / BTCUSDT Timeframe: 1D Trend filter: ON Risk: fixed % per trade (user-defined)

Strategy

by SystemsOverFeelings

Ultimate Scalping Indicator Overview The Confluence Signal Indicator is a precision-built scalping tool designed to identify high-probability reversal points in the market. It combines three core technical elements: Trend Mean reversion Momentum into a single, efficient system. By filtering out weak RSI signals and focusing only on setups that align with trend direction and recent momentum shifts, this indicator delivers cleaner and more accurate short-term trade signals. Core Components 200-Period Moving Average (MA200, 5-Minute Timeframe) The MA200 is always calculated from the 5-minute chart, regardless of your current timeframe. It defines the macro trend direction and ensures that all trades align with the prevailing momentum. Session VWAP (Volume-Weighted Average Price) The VWAP tracks the real-time average price weighted by volume for the current trading session. It acts as a dynamic mean-reversion level and helps identify key areas of institutional activity and short-term balance. RSI (Relative Strength Index) The indicator uses a standard 14-period RSI to detect overbought and oversold market conditions. A “recency filter” is added to ensure signals only appear when RSI has recently transitioned from strength to weakness or vice versa, reducing false signals in trending markets. Signal Logic Bullish Signal (Green Arrow) A bullish reversal signal is plotted below a candle when: Price is above both the 5-minute MA200 and the Session VWAP. RSI is oversold (below 30). The last time RSI was above 50 occurred within the last 10 candles before going oversold. This ensures that the dip is a fresh pullback within an uptrend, not a prolonged oversold condition. Bearish Signal (Red Arrow) A bearish reversal signal is plotted above a candle when: Price is below both the 5-minute MA200 and the Session VWAP. RSI is overbought (above 70). The last time RSI was below 50 occurred within the last 10 candles before going overbought. This ensures that the overbought reading follows a recent move from weakness, identifying potential short entries in a downtrend. Recommended Usage This is a scalping-focused indicator, intended for use on timeframes of 5 minutes or lower. Therefore I would highly recommend to use it on Equity futures trading, such as NQ!, ES!, GC! and so on. It performs best when combined with additional tools such as support and resistance zones, order blocks, or liquidity levels for context. Avoid counter-trend signals unless confirmed by price structure or volume behavior.

Indicator

Continuation Suite v1 — 5m/15m Continuation Suite v1 — 5m/15m (Non-Repainting, S/R + Trend Continuation) What it does Continuation Suite v1 is a practical intraday toolkit that combines non-repainting trend-continuation signals with auto-built Support/Resistance (S/R) from confirmed pivots. It’s designed for fast, liquid names on 5m charts with an optional 15m higher-timeframe (HTF) overlay. You get: stacked-EMA bias, disciplined pullback+reclaim entries, optional volume/volatility gates, a “Strong” signal tier, solid S/R lines or zones, and a compact dashboard for fast reads. ⸻ Why traders use it • Clear bias using fast/mid/slow EMA stacking. • Actionable entries that require a pullback, a reclaim, and (optionally) a minor break of prior extremes. • Signal quality gates (volume vs SMA, ATR%, ADX/DI alignment, EMA spacing, slope). • Non-repainting logic when “Confirm on Close” = ON. Intrabar previews show what’s forming, but confirmed signals only print on bar close. • S/R that matters: confirmed-pivot lines or ATR-sized zones, optional HTF overlay, and auto de-dup to avoid clutter. ⸻ Signal construction (no magic, just rules) Bullish continuation (base): 1. Trend: EMA fast > EMA mid > EMA slow 2. Pullback: price pulls into the stack (lowest low or close vs EMA fast/mid over a lookback) 3. Reclaim: close > EMA fast and close > open 4. Break filter (optional): current bar takes out the prior bar’s high 5. Filters: volume > SMA (if enabled) and ATR% ≤ max (if enabled) 6. Cooldown: a minimum bar gap between signals Bearish continuation (base): mirror of the above. Strong signals: base conditions plus ADX ≥ threshold, DI alignment (DI+>DI- for longs; DI->DI+ for shorts), minimum EMA-spacing %, and minimum fast-EMA slope. Reference stops: • Longs: lowest low over the pullback lookback • Shorts: highest high over the pullback lookback Alerts are included for: Bullish Continuation, Bearish Continuation, STRONG Bullish, STRONG Bearish. ⸻ S/R engine (current TF + optional HTF) • Builds S/R from confirmed pivots only (left/right bars). • Choose Lines (midlines) or Zones (ATR-sized). • Zones merge when a new pivot lands near an existing zone’s mid (ATR-scaled epsilon). • Touches counter tracks significance; you can require a minimum to draw. • HTF overlay (default 15m) draws separate lines/zones with tiny TF tags on the right. • De-dup option hides current-TF zones that sit too close to HTF zones (ATR-scaled), reducing overlap. • Freeze on Close (optional) keeps arrays stable intrabar; snapshots show levels immediately as bars open. ⸻ Presets • Auto: Detects QQQ-like tickers (QQQ, QLD, QID) or SoFi; else defaults to Custom. • QQQ: Tighter ATR% and EMA settings geared to index-ETF behavior. • SoFi: Wider ATR allowances and longer mid/slow for single-name behavior. • Custom: Expose all key inputs to tune for your product. ⸻ Dashboard (top-right) • Preset in use • Bias (Bullish CONT / Bearish CONT / Neutral) • Strong (Yes/No) • Volatility (ATR% bucket) • Trend (ADX bucket) • HTF timeframe tag • Volume (bucket or “off”) • Signals mode (Close-Confirmed vs Intrabar) ⸻ Inputs you’ll actually adjust Trend/Signals • Fast/Mid/Slow EMA lengths • Pullback lookback, Min bars between signals • Volume filter (vol > SMA N) • ATR% max filter (cap excessive volatility) • Require break of prior bar’s high/low • “Strong” gates: min EMA slope, min EMA spacing %, ADX length & threshold Support/Resistance • Lines vs Zones • Pivot left/right bars • Extend left/right (bars) • Max pivots kept (current & HTF) • Zone width (× ATR), Merge epsilon (× ATR), Min gap (× ATR) • Min touches, Max zones per side near price • De-dup current TF vs HTF (× ATR) Repainting control • Confirm on Close: when ON, signals/SR finalize on bar close (non-repainting) • Freeze on Close: freeze S/R intrabar with snapshot updates • Show previews: translucent intrabar labels for what’s forming ⸻ How to use it (straightforward) 1. Load on 5-minute chart (baseline). Keep Confirm on Close ON if you hate repainting. 2. Use Bias + Strong + S/R context. If a long prints into HTF resistance, you have information. 3. Manage risk off the reference stop (pullback extreme). If ATR% reads “Great,” widen expectations; if “Poor,” size down or pass. 4. Alerts: wire the four alert types to your workflow. ⸻ Notes and constraints • Designed for liquid symbols. Thin books and synthetic “volume” will degrade the volume gate. • S/R is pivot-based. On very choppy tape, touch counts help. Increase min touches or switch to Lines to declutter. • If your chart timeframe isn’t 5m, behavior changes because lengths are in bars, not minutes. Tune lengths accordingly. ⸻ Disclaimers This is a research tool. No signals are guaranteed. Markets change, outliers happen, slippage is real. Nothing here is financial advice—use your own judgment and risk management. ⸻ Author: DaddyScruff License: MPL-2.0 (Mozilla Public License 2.0)

Indicator

Tristan's Three Line Strike Pattern Three Line Strike Indicator (5-Minute Timeframe) This indicator highlights Three Line Strike candlestick patterns on a 5-minute chart . The Three Line Strike is a rare four-candle formation that often signals trend continuation rather than reversal. Bullish Three Line Strike (green “3LS long” above the candle): Three strong bullish candles in a row are followed by a large bearish candle that completely engulfs the prior three. Despite looking bearish, this setup often indicates strength in the uptrend. Bearish Three Line Strike (red “3LS sell” below the candle): Three consecutive bearish candles are followed by a large bullish engulfing candle. Although it looks like a reversal, the downtrend commonly resumes. How to use on the 5-min chart: Watch for the labels marking the pattern. A bullish signal suggests that the upward move is likely to continue after the engulfing candle. A bearish signal suggests that the downtrend is likely to continue after the engulfing candle. These signals are not entry/exit triggers on their own—I suggest you combine them with trend confirmation (e.g., moving averages, momentum indicators, or volume analysis) before acting. Use good risk management, and don't buy / sell based on these indicators alone.

Indicator

POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV) Version: PineScript™v6 📌Description The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss. POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously. The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities. 🚀Points of Innovation Micro-POC calculation using advanced OHLC-based volume distribution estimation Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency Persistence scoring system that quantifies directional consistency over multiple periods Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts Dynamic color-coded visualization system with intensity-based feedback Comprehensive customization options for resolution, periods, and thresholds 🔧Core Components POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships 🔥Key Features Real-time POC calculation with 10-100 configurable price bands for optimal precision Velocity tracking with customizable lookback periods from 5 to 50 bars Acceleration measurement for detecting momentum changes in POC movement Persistence scoring to validate signal strength and filter false signals Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps Adjustable information table displaying real-time metrics and current signals Heat ribbon visualization showing price-POC relationship intensity Multiple threshold settings for customizing signal sensitivity Export capability for use with separate panel indicators 🎨Visualization POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity Signal Markers: Clear exhaustion top/bottom signals with labeled shapes Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions 📖Usage Guidelines POC Calculation Settings POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise Velocity Settings Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals Persistence Settings Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals Visual Settings Show POC Connecting Lines: Toggle display of colored lines connecting POC levels Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon Alert Settings Enable Continuation Alerts: Toggle alerts for continuation pattern detection Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection Enable POC Gap Alerts: Toggle alerts for significant POC gaps Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts ✅Best Use Cases Identifying trend continuation opportunities when POC velocity aligns with price direction Spotting potential reversal points through exhaustion pattern detection Confirming breakout validity by monitoring POC gap behavior Adding volume-based context to traditional technical analysis Managing position sizing based on POC-price basis strength ⚠️Limitations POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution Effectiveness may vary in low-volume or highly volatile market conditions Requires complementary analysis tools for complete trading decisions Signal frequency may be lower in ranging markets compared to trending conditions Performance optimization needed for very short timeframes below 1-minute 💡What Makes This Unique Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions Persistence Validation: Unique scoring system to filter signals based on directional consistency 🔬How It Works Volume Distribution Estimation: Divides each bar into configurable price bands for volume analysis Applies sophisticated weighting based on OHLC relationships and proximity to close Identifies the price level with maximum estimated volume as the POC Velocity and Acceleration Calculation: Measures POC rate of change over specified lookback periods Normalizes values using ATR for consistent cross-market performance Calculates acceleration as the rate of change of velocity Signal Generation Process: Combines trend direction analysis using EMA crossovers Applies velocity and persistence thresholds to filter signals Generates continuation, exhaustion, and gap alerts based on specific criteria 💡Note: This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.

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