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Breakout-failure

Expansion Failure Planner [AGPro Series]Expansion Failure Planner 🧠 Core Idea Did volatility expansion create real travel, or did it fail back inside the prior structure? 📌 Overview / What it does Expansion Failure Planner is a public-free TradingView indicator built to evaluate failed volatility expansion attempts. It detects when price expands beyond a recent range edge, then tracks whether the move produces meaningful travel or quickly loses the edge. The script produces a failed expansion corridor, expansion-edge guide, risk shelf, return-to-range target guide, compact state labels, alerts, and a clean AG Pro planning panel. It does not predict future price direction or automate trade decisions. 🎯 Purpose & Design Philosophy This script was built for traders who do not only want to see that volatility expanded. They want to know whether the expansion still has quality, whether failure risk is rising, and what context should be reviewed next. The design supports a decision-first workflow: identify the expansion attempt, measure failure risk, review target room, and decide whether the context deserves attention. ⚡ Why This Script Is Different Most volatility tools focus on expansion, squeeze release, or breakout continuation. This script does NOT act as a generic breakout signal, generic S/R zone, or continuation-only volatility map. Instead, it focuses on one narrow question: did the expansion fail before producing real travel? ⚙️ Methodology 1. Context Detection The script defines a prior range and watches for a volatility expansion attempt beyond that range edge. 2. Reference Mapping It stores the expansion edge, expansion extreme, prior range midpoint, and return-to-range target area. 3. Reaction Evaluation The planner scores failed travel using ATR expansion, close-back-inside behavior, missing follow-through, volume response, and range re-entry quality. 4. Visual Output It draws the failed expansion corridor, expansion edge, risk shelf, return target, compact labels, and a premium AG Pro panel. 🗺️ How to Read the Chart Zones = the failed expansion corridor between the original edge and the expansion extreme. Labels = expansion attempts, failure-ready states, watch states, hold states, and reset context. Colors = teal for upside expansion attempts, pink for downside expansion attempts, yellow for watch context, and indigo for edge/hold review. Panel = the preferred viewing timeframe, current expansion state, 0-100 failure risk, reclaim status, target room, and next action. 🚦 Signals & States • UP EXP / DN EXP → a volatility expansion attempt has been detected. • UP FAIL / DN FAIL → the expansion failed back inside the prior structure with enough score. • WATCH → failure risk is developing but confirmation is incomplete. • HOLD → expansion is still holding beyond the edge. • RESET / NO FAIL → the active failure window expired or real travel invalidated the failure context. 🔔 Alerts Logic Alerts trigger when expansion failure reaches ready status, when watch context develops, when expansion holds beyond the edge, or when the failure window resets. Alerts are attention markers only. They are not trade instructions. 🧩 Confluence Logic The strongest context appears when ATR expansion, edge loss, missing follow-through, range re-entry, and participation align. When these components agree, the failure risk score increases. 📊 When to Use • After volatility expansion attempts • Around range-edge probes • During breakout failure review • When a move expands but does not travel • When price quickly returns inside prior structure ⚠️ When NOT to Use • Extremely low-liquidity symbols • Very noisy micro ranges • News-driven candles with abnormal gaps • Markets where volume data is unreliable • Charts where the prior range is not structurally meaningful 🎛️ Key Inputs • Sensitivity → changes how strict the failure model is. • Prior Range Lookback → defines the structure used for expansion reference. • Expansion Bar ATR → controls how large a candle must be to qualify. • Required Real Travel ATR → defines how much progress the expansion should produce. • Confirmation Mode → controls close/volume/strict confirmation. • Visual Settings → control corridor, guides, labels, projection, and label size. • Panel Settings → control panel visibility, location, theme, font size, and best-viewed timeframe guidance. 🖥️ Interface & Visual Design The panel is designed as a compact planning cockpit. The first row uses the AGPro merged blue header standard, while the remaining rows show best-viewed timeframe guidance, state, score, reclaim status, target room, and action. The visual hierarchy keeps the chart readable: one active corridor, clear guide lines, and controlled labels. 🧪 Practical Usage Workflow 1. Read the panel state. 2. Check whether price is above or below the expansion edge. 3. Review the failed expansion corridor. 4. Compare failure risk with target room. 5. Use alerts as attention markers, not decisions. 🔍 Interpretation Guidelines Think in terms of failed travel, not prediction. A high score means the script detected stronger failure characteristics. A low score means expansion may still be holding, or failure evidence is not strong enough. 🚫 What This Script Is NOT • Not a prediction engine • Not financial advice • Not auto trading • Not guaranteed signals • Not a generic breakout indicator • Not a generic support/resistance zone map ⚠️ Limitations & Transparency • Timeframe differences can change expansion and failure structure. • Volatility spikes can distort ATR-based scoring. • Volume quality varies by market. • Fast markets can move beyond the corridor before confirmation. • Outputs should be interpreted within broader market context. 🧠 Market Context Notes Expansion failure often matters when volatility appears strong but cannot create distance. This script focuses on that transition point between momentum attempt and failed travel. 🧾 Use Case Examples When price expands above a range, stalls quickly, closes back inside the edge, and fails to build distance, the planner can mark an upside expansion failure. When price expands below a range, loses downside follow-through, and re-enters the structure, the planner can mark a downside expansion failure. 🧱 System Philosophy AGPro tools are built to reduce chart ambiguity by turning raw market events into structured decision context. 🔐 Non-Promise Statement No indicator can provide certainty. This script provides rule-based context only. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions. This script does not provide financial advice or guaranteed trading outcomes. 📚 Educational Note Use the script as a structured learning and review tool for expansion failure behavior, failed travel, and volatility response.
지표
AGProLabs의
Volatility Stop Run Planner [AGPro Series]Volatility Stop Run Planner 🧠 Core Idea Is the current volatility spike a stop-run review context, or is it behaving more like real expansion? 📌 Overview / What it does Volatility Stop Run Planner is a chart-first volatility risk and execution-readiness tool designed to evaluate sharp ATR expansion around recent range edges. The script studies wick expansion, ATR load, close recovery, range-edge penetration, reclaim quality, and early follow-through. It then converts qualified events into a 0-100 planner score, a clear next-action state, reclaim guides, invalidation guides, target-room references, stop-run review zones, expansion review zones, and a clean AGPro planning panel. It does not predict where price must go next. It does not automate entries or exits. It is built to organize volatile stop-run and expansion contexts so traders can evaluate the event with more structure. 🎯 Purpose & Design Philosophy This script was built for traders who need a practical decision framework during fast volatility spikes. Many charts look most confusing exactly when volatility expands: wicks stretch, stops may be triggered, range edges are breached, and the candle can either reclaim or continue. This planner fills that gap by asking whether the spike is showing stop-run characteristics, real expansion behavior, or a cooldown state that still needs confirmation. The design supports a planning mindset: identify the event, evaluate quality, locate the reclaim level, define invalidation context, estimate target room, and decide what deserves attention next. ⚡ Why This Script Is Different Most stop-run tools focus on liquidity sweeps, stop-hunt zones, or level raids. This script does NOT try to become another liquidity grab detector, stop-hunt map, order block map, or generic sweep marker. Instead, it focuses on the volatility event itself. It evaluates whether a spike around a recent range edge is recovering, rejecting, expanding, or entering a cooldown window. The core output is not a buy or sell signal. It is a planner state that helps the user decide whether the current volatility context deserves review, patience, or no action. ⚙️ Methodology 1. Context Detection The script measures ATR load, candle range relative to ATR, wick dominance, body efficiency, and recent range-edge interaction. 2. Reference Mapping It maps the recent high / low reference range, the reclaim level, the spike extreme, the invalidation guide, and the target-room reference. 3. Reaction Evaluation The model scores stop-run risk, reclaim quality, volatility load, range-edge penetration, and expansion quality. These components are blended into a 0-100 planner score. 4. Visual Output Qualified events are displayed through stop-run review zones, expansion review zones, reclaim lines, active risk / target guides, optional volatility cooldown boxes, premium labels, alerts, and a compact AGPro panel. 🗺️ How to Read the Chart Zones = stop-run or expansion review areas created around qualified volatility spike events. Labels = compact event markers showing the detected context, planner score, score tier, and next-action state. Colors = bullish reclaim contexts use AGPro teal, bearish reclaim contexts use AGPro pink, and expansion / neutral review contexts use controlled accent tones. Panel = the panel summarizes Spike State, Planner Score, Stop-Run Risk, Reclaim Quality, Risk / Target, Volatility Load, and Action. 🚦 Signals & States • Bull Stop-Run → downside spike below the recent range edge followed by reclaim-quality behavior. • Bear Stop-Run → upside spike above the recent range edge followed by rejection-quality behavior. • Expansion Up → volatility spike closes cleanly above the recent range edge with stronger body efficiency. • Expansion Down → volatility spike closes cleanly below the recent range edge with stronger body efficiency. • Spike Watch → volatility is elevated, but the candle has not yet produced enough reclaim or expansion evidence. • Normal Load → no qualified volatility event is currently detected. 🔔 Alerts Logic Alerts trigger when the planner detects a qualified Bull Stop-Run Review, Bear Stop-Run Review, Expansion Up Review, Expansion Down Review, or Spike Watch context. These alerts are attention markers. They are not trade instructions, entry signals, exit signals, or automated strategy commands. 🧩 Confluence Logic The strongest planner states appear when multiple conditions align: ATR spike + wick expansion + range-edge penetration + reclaim quality + clean risk / target context. When the spike reclaims the reference level with strong wick rejection, the stop-run review context becomes stronger. When the candle closes beyond the range edge with strong body efficiency, the expansion review context becomes stronger. 📊 When to Use • Around sudden volatility spikes • Near recent range highs or lows • During breakout or breakdown attempts • After large wick candles that need structured interpretation • When deciding whether a fast move deserves review, patience, or no action ⚠️ When NOT to Use • Extremely low-liquidity symbols • Very noisy micro-timeframes • News-driven candles with abnormal gaps • Markets where ATR is distorted by isolated historical spikes • Situations where the user expects a simple signal-only entry tool 🎛️ Key Inputs • Sensitivity → controls how selective the spike and stop-run planner should be. • Reference Lookback → defines the recent range edge used for spike evaluation. • ATR Length → normalizes volatility, invalidation, target room, and label spacing. • Minimum Planner Score → sets the score required before events are drawn. • Confirmation Mode → controls how strict reclaim or expansion confirmation should be. • Cooldown Bars → defines the post-spike visual review window. • Visual settings → control zones, labels, guides, panel theme, panel location, and font sizes. 🖥️ Interface & Visual Design The interface is designed to stay chart-first. The panel provides the decision summary. The chart zones show where the volatility event happened. The reclaim line identifies the reference level. The risk / target guides frame the active review context without turning the script into a trade command system. The visual hierarchy is intentionally compact, premium, and readable. 🧪 Practical Usage Workflow 1. Read the panel to identify the current Spike State and Planner Score. 2. Check whether the chart is showing a stop-run review, expansion review, or spike watch context. 3. Compare the reclaim line with the candle close and wick behavior. 4. Review the invalidation and target-room guides. 5. Interpret the event within broader market structure and volatility conditions. 🔍 Interpretation Guidelines A high stop-run risk score means the spike has stronger rejection and reclaim characteristics. A high expansion score means the spike is behaving more like continuation through the range edge. A cooldown window means the event needs follow-through review rather than immediate interpretation. No single score should be read in isolation. The strongest use case is to combine the planner state with structure, liquidity, trend, and timeframe context. 🚫 What This Script Is NOT • Not a prediction engine • Not financial advice • Not an auto trading system • Not a guaranteed signal tool • Not a liquidity grab detector • Not a stop-hunt zone map • Not an order block or FVG map ⚠️ Limitations & Transparency Volatility behavior changes across symbols, sessions, and timeframes. ATR can expand sharply during news, low-liquidity gaps, or abnormal market conditions. Some stop-run-looking candles can still continue in the same direction. Some expansion-looking candles can fail quickly. The script provides structured context, not certainty. 🧠 Market Context Notes Stop-run behavior often appears when price briefly trades through visible reference areas and then reclaims them. Expansion behavior often appears when price accepts beyond the reference with stronger body efficiency and less rejection. The planner is designed to help users separate these contexts with a consistent rule-based framework. 🧾 Use Case Examples When price spikes below a recent low, leaves a large lower wick, and closes back above the reference, the script may classify the event as a Bull Stop-Run Review. When price expands above a recent high with a strong body close and limited upper rejection, the script may classify the event as Expansion Up. When volatility spikes but reclaim or expansion evidence is incomplete, the script may show Spike Watch or keep the event in cooldown. 🧱 System Philosophy Volatility Stop Run Planner follows the AGPro Series decision-engine approach: Context first. Risk before reaction. Reclaim before assumption. Expansion quality before excitement. Attention markers instead of promises. 🔐 Non-Promise Statement No indicator can remove uncertainty. No state, score, label, alert, line, or zone should be interpreted as guaranteed market direction. 📉 Risk Disclosure Trading involves risk. Users remain responsible for their own analysis, risk management, and decisions. This script is for educational and analytical purposes only and does not provide financial advice. 📚 Educational Note The script is designed to make volatile candles easier to review by separating stop-run behavior, expansion behavior, and cooldown context into a clean visual planning workflow.
지표
AGProLabs의
Breakout Failure Recovery [AGPro Series]Breakout Failure Recovery 🧠 Core Idea After a failed breakout, is price recovering through the reclaim level or confirming the failure? 📌 Overview / What it does Breakout Failure Recovery is a chart-first failed-breakout lifecycle planner built to evaluate what happens after price probes outside a recent range and closes back inside. The script maps a failure box, reclaim trigger, risk shelf, recovery/rejection labels, and a compact AGPro panel. It converts close-back-inside behavior, reclaim speed, retest response, volume behavior, and time decay into a 0-100 Recovery Score with a clear next-action state. It does not predict the next move, automate execution, or act as a generic failed-break signal. Its purpose is to organize the post-failure decision context. 🎯 Purpose & Design Philosophy This script was built for traders who do not want to treat every failed breakout the same way. Some failed breaks recover quickly through the original breakout level. Others reject the boundary, lose time, and confirm that the attempt has failed. This tool focuses on that decision window. The design supports a planner mindset: identify the failure, measure the reclaim attempt, locate the risk shelf, and decide whether the context deserves review or should be downgraded. ⚡ Why This Script Is Different Most tools mark a failed break as a single event. This script does NOT stop at the failed-break label, does not clone a Swing Failure Pattern engine, and does not become a generic breakout-failure signal board. Instead, it evaluates the recovery path after the failure. The main output is a recovery state: Recovery Active, Recovery Watch, Failure Confirmed, Reclaim Pending, Window Decaying, or No Active Failure. ⚙️ Methodology 1. Context Detection The script builds a recent range from prior bars and checks whether price probes beyond the upper or lower boundary before closing back inside. 2. Reference Mapping When a failed break appears, it maps the failure box, reclaim trigger, and risk shelf around the failed boundary. 3. Reaction Evaluation The model scores close-back-inside quality, reclaim speed, retest response, volume behavior, and time decay. 4. Visual Output The result is shown through centered failure-box text, a centered risk-shelf label, reclaim/reject labels, alert conditions, and a clean AGPro planning panel. 🗺️ How to Read the Chart Failure Box = the failed-break excursion outside the recent range. Reclaim Trigger = the level that shows the original breakout attempt is trying to recover. Risk Shelf = the boundary zone where retest response should be reviewed. Labels = compact markers for failed break, reclaim, reject, decay, and watch context. Colors = teal highlights constructive recovery context, pink highlights failure or rejection pressure, amber highlights shelf review, and indigo highlights watch states. Panel = summarizes Failure State, Recovery Score, Reclaim Level, Risk Zone, and Action. 🚦 Signals & States • Failed Breakout Detected → price probed outside the recent range and closed back inside. • Recovery Watch → recovery conditions are developing, but reclaim confirmation is incomplete. • Recovery Active → reclaim behavior and the Recovery Score have reached stronger review context. • Failure Confirmed → price rejects the failed boundary or moves deeper back into the range. • Reclaim Pending → an active failure exists, but recovery conditions are not strong enough yet. • Window Decaying → the failed-break context is getting old and should carry less weight. 🔔 Alerts Logic Alerts trigger when a failed breakout is detected, when Recovery Watch appears, when Recovery Active appears, or when Failure Confirmed appears. Alerts are attention markers only. They are not trade instructions, entry commands, exit commands, or automated strategy rules. 🧩 Confluence Logic The strongest recovery context appears when price closes back inside the range, reclaims the failed boundary quickly, shows a constructive retest response, receives supportive volume, and does not lose too much time after the failed break. When these components weaken, the script can shift toward Reclaim Pending, Window Decaying, or Failure Confirmed. 📊 When to Use • After a breakout attempt closes back inside a recent range • During range-bound markets with frequent boundary tests • Around failed expansion attempts where reclaim quality matters • When deciding whether a failed breakout deserves continued monitoring • On liquid symbols where range, volume, and candle behavior are readable ⚠️ When NOT to Use • Very low-liquidity symbols with unstable candles • Extremely noisy micro-timeframes • News-driven spikes where levels lose structure quickly • Markets with unreliable volume data • Situations where the user expects a direct signal-only tool 🎛️ Key Inputs • Failure Range Lookback → controls the recent range used to detect failed breaks. • Failure Probe ATR → defines how far price must probe beyond the range boundary. • Recovery Window Bars → controls how long the failed-break recovery window stays relevant. • Retest / Shelf ATR → controls risk shelf thickness and boundary response tolerance. • Recovery Active Threshold → sets the minimum score for the strongest recovery state. • Label and Panel Font Size → controls chart labels, centered zone text, and panel readability. 🖥️ Interface & Visual Design The interface is designed to stay chart-first. The failure box gives the visual story. The reclaim trigger and risk shelf define the practical review frame. Labels remain compact and controlled so the chart stays active without becoming crowded. The AGPro panel uses a merged blue title row and a compact decision layout for fast reading. 🧪 Practical Usage Workflow 1. Read the panel state and Recovery Score. 2. Check the failure box and failed boundary. 3. Compare price behavior against the reclaim trigger. 4. Review the risk shelf and rejection response. 5. Treat alerts as attention markers, then evaluate broader market context. 🔍 Interpretation Guidelines Think in terms of failed-break lifecycle, not prediction. A stronger Recovery Score means the failed breakout is attempting to reclaim quickly with better response and participation. A weaker score means the failure may be aging, rejecting, or losing structural quality. Failure Confirmed does not mean the market must continue in one direction. It means the failed-break attempt is not recovering cleanly within the current rule set. 🚫 What This Script Is NOT • Not a prediction engine • Not financial advice • Not auto trading • Not guaranteed signals • Not a generic failed-break signal • Not a Swing Failure Pattern clone ⚠️ Limitations & Transparency The script is rule-based and depends on recent price, volatility, range, volume, and candle behavior. Different timeframes can change how failure and recovery appear. Volatility spikes can temporarily distort boundary behavior. Symbols with unreliable volume may produce weaker participation readings. Outputs should always be interpreted with broader market structure, liquidity, and risk context. 🧠 Market Context Notes Failed breakouts are most useful when the boundary is readable and the follow-up reaction is clear. A quick reclaim can show that the failed attempt is recovering. A weak retest, slow response, or deep move back into the range can show that the failed break is confirming instead. 🧾 Use Case Examples When price probes above a range, closes back inside, then quickly reclaims the upper boundary with supportive volume, the planner may classify the context as Recovery Active. When price probes above a range, closes back inside, retests the boundary from below, and rejects again, the planner may classify the context as Failure Confirmed. 🧱 System Philosophy AGPro planning tools are designed to help traders evaluate context before reacting. This script follows that philosophy by turning failed breakouts into a structured decision question: is the attempt recovering, aging, or confirming failure? 🔐 Non-Promise Statement No indicator can provide certainty. This tool provides structured visual context and rule-based attention markers. It does not guarantee continuation, reversal, recovery, or rejection. 📉 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, and decisions. This script is for educational and analytical use only and does not provide financial advice. 📚 Educational Note Use the planner to study how failed breakouts behave after the first rejection, how reclaim speed affects context, and how risk shelves help organize post-failure review.
지표
AGProLabs의
False Break Trap Planner [AGPro Series]False Break Trap Planner 🧠 Core Idea Is a breakout still holding, or is it turning into a false-break trap that deserves caution? 📌 Overview / What it does False Break Trap Planner is a chart-first breakout failure planner built to evaluate range-edge break attempts after price moves beyond a recent high or low boundary. Instead of only marking that a breakout happened, the script studies whether the move is holding beyond the edge, being reclaimed back into the range, or becoming a confirmed trap-risk context. It produces a 0-100 Trap Risk score, a reclaim state, a break-quality reading, a failure-room estimate, false-break zones, reclaim rails, and target-back guides. This script does not predict price direction, automate execution, or claim that a failed break must reverse. It organizes the anatomy of a potential false break so traders can review the setup with cleaner context. 🎯 Purpose & Design Philosophy This script was built for traders who need a practical decision layer around breakout failure, not another generic signal marker. The gap it fills is the space between a clean breakout tool and a liquidity sweep tool. Many chart tools mark a level break, a wick, or a reclaim. This planner asks what the trader should review next: is the break holding, is reclaim pressure developing, is the failure fast enough to matter, and is there room back inside the range? The design mindset is structured caution. The script helps users slow down around breakout traps, separate active risk from confirmed failure, and keep risk / target / invalidation context visible. ⚡ Why This Script Is Different Most tools focus on breakout confirmation, sweep labels, or generic failed-break signals. This script does NOT try to become a stop-hunt map, liquidity sweep engine, support/resistance zone scanner, or broad breakout system. Instead, it focuses on one specific workflow: a prior range edge is broken, the break either holds or gets reclaimed, and the planner scores whether that behavior deserves trap-risk review. ⚙️ Methodology 1. Context Detection The script maps a recent range high and range low from previous bars, then watches for an ATR-normalized break beyond either edge. 2. Reference Mapping When a break attempt appears, the planner freezes the range edge, opposite edge, midpoint, and false-break extreme so the event can be evaluated consistently. 3. Reaction Evaluation The model scores breakout failure speed, reclaim strength, wick size, volume spike, and whether price closes back inside the range. 4. Visual Output The script displays a false-break box, reclaim or fail rail, target-back line, trap confirmation labels, reclaim-watch labels, and a premium AG Pro panel. 🗺️ How to Read the Chart Zones = the active false-break box between the broken range edge and the failed extension. Labels = compact state markers such as Upper Break Watch, Lower Break Watch, Reclaim Watch, Upper Trap, Lower Trap, or Break Accepted. Colors = teal for lower-break trap recovery context, pink for upper-break trap risk, yellow for watch states, indigo for accepted/holding context, and red for confirmed trap-risk pressure. Panel = a compact decision panel showing Trap Risk, Reclaim State, Break Quality, Failure Room, and Action. 🚦 Signals & States • Upper Break Watch → price has moved beyond the upper range edge and the break is under review. • Lower Break Watch → price has moved beyond the lower range edge and the break is under review. • Reclaim Watch → price is testing back toward or inside the broken edge, but confirmation is not complete. • Trap Confirmed → the break has closed back inside the range with enough trap-risk score. • Break Holding → the break is still outside the range and has not reclaimed. • Break Accepted → the break has held beyond the acceptance window and should not be treated as an active trap by default. 🔔 Alerts Logic Alerts trigger when the planner detects confirmed upper or lower trap context, upper or lower reclaim-watch context, or break acceptance. Each alert is an attention marker. It highlights a state transition that may deserve review. It is not a trade instruction and should not be treated as an automated entry or exit signal. 🧩 Confluence Logic The strongest trap-risk context appears when several factors align: • Fast failure after the break • Close back inside the prior range • Strong wick rejection • Volume spike during the failed extension • Clean room back toward the range midpoint When these align, the panel score rises and the state becomes easier to interpret. 📊 When to Use • Breakout and breakdown attempts around a recent range • Markets where false breaks and failed continuations are common • Intraday or swing charts where range edges are visually relevant • Review workflows that need caution before chasing a break • Breakout traders who want a structured invalidation and failure-room layer ⚠️ When NOT to Use • Extremely low-liquidity instruments • Very noisy micro timeframes with unreliable candles • Markets with poor or synthetic volume data • News-driven volatility where single-bar extremes distort ATR and volume • Charts where the selected lookback does not represent a meaningful range 🎛️ Key Inputs • Range Edge Lookback → controls the prior range used for break attempts. • Minimum Break ATR → defines how far price must move beyond the edge before the planner starts tracking. • Fast Reclaim Window → controls how many bars can pass before a reclaim becomes less meaningful. • Trap Confirmed Score → minimum 0-100 score required for a confirmed trap label. • Break Acceptance Bars → defines when a break should be treated as holding rather than still failing. • Visual settings → control boxes, rails, target-back lines, label density, panel location, theme, and font sizes. 🖥️ Interface & Visual Design The panel is designed as a clean AG Pro planning cockpit. The first row uses the standard merged blue AGPro header row, followed by five decision rows. The chart visuals are intentionally focused: one active false-break box, a reclaim rail, a soft fail rail, a target-back line, and controlled labels. The goal is premium readability without turning the chart into a generic level map. 🧪 Practical Usage Workflow 1. Read the panel and check the current Reclaim State. 2. Review the false-break box and identify which edge was broken. 3. Check whether price is holding beyond the edge or closing back inside. 4. Compare Trap Risk with Break Quality. 5. Use the target-back line and failure-room reading as context, not as a forecast. 🔍 Interpretation Guidelines Think in states, not predictions. A high Trap Risk score means the attempted break has characteristics often associated with failed continuation. It does not mean the next move is guaranteed. A strong Break Quality score means the break is still showing participation and close-through behavior. In that context, early fading can be premature. The cleanest reading appears when Trap Risk is high, Break Quality is weak, and price has closed back inside the range. 🚫 What This Script Is NOT • Not a prediction engine • Not financial advice • Not auto trading • Not guaranteed signals • Not a stop-hunt map • Not a liquidity sweep scanner • Not a support/resistance zone system • Not a replacement for risk planning ⚠️ Limitations & Transparency The active range depends on the selected lookback. A different lookback can produce different edges. ATR and volume conditions can change quickly during high-volatility periods, which may affect scoring. Breakout behavior differs across symbols, sessions, and timeframes. A trap-like structure on one market may not behave the same way on another. The script is rule-based and does not know external news, order flow, or hidden liquidity. 🧠 Market Context Notes False breaks often become more relevant near visible range edges, crowded breakout levels, and late-stage expansion attempts. The planner is most useful when combined with broader market context, liquidity conditions, volatility regime, and the trader's own risk rules. 🧾 Use Case Examples When price breaks above a recent range but closes back inside with a long upper wick and strong volume, the planner may mark Upper Trap context. When price breaks below a range but quickly reclaims the lower edge, the planner may shift into Lower Trap context. When price breaks and keeps closing beyond the edge after the acceptance window, the planner may mark Break Accepted instead of forcing a trap interpretation. 🧱 System Philosophy False Break Trap Planner follows the AGPro Series decision-engine direction: score the setup, identify the state, show the risk reference, show the target-back context, and make the next review step clear. The script is built to help traders make a structured chart-reading decision, not to add another isolated signal. 🔐 Non-Promise Statement No script can confirm certainty. No trap score guarantees reversal, continuation, or profitability. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk controls, and market interpretation. This script is for educational and analytical use only and does not provide financial advice or guaranteed trading outcomes. 📚 Educational Note Use the planner as a structured review layer around breakout failure behavior. The best value comes from comparing state, score, failure room, and broader market context together.
지표
AGProLabs의
AG Pro Liquidity Sweep Quality [AGPro Series]AG Pro Liquidity Sweep Quality OVERVIEW / WHAT IT DOES AG Pro Liquidity Sweep Quality is a pivot-based overlay designed to map bullish and bearish liquidity sweep events around confirmed swing highs and swing lows. Instead of only flagging whether price traded beyond a prior level, the script evaluates whether that move behaved like a meaningful rejection or a weak sweep. The result is a structured liquidity sweep indicator that focuses on sweep quality, not only sweep detection. In practical terms, the script looks for price moving above a prior swing high or below a prior swing low and then closing back through that level on the same bar or, if enabled, on the next bar. This behavior is commonly associated with stop hunts, failed breakout attempts, failed breakdown attempts, and short-term rejection events around visible liquidity. The script then ranks the event using a multi-factor quality model so the chart does not treat every sweep as equally important. This makes the tool relevant for traders studying liquidity sweep behavior, smart money concepts, ICT-style chart reading, rejection anatomy, wick-driven reversals, sweep confirmation, and swing-based context. It is not built to predict direction on its own. It is built to organize sweep events so users can distinguish weaker noise from stronger rejection structures. UNIQUE EDGE The main objective of this script is not to publish another generic liquidity grab marker. Its edge comes from the fact that it scores each confirmed sweep using a quality framework. That framework combines how deeply price traded through the level, how decisively it closed back beyond the level, the wick-to-body relationship of the sweep bar, relative volume behavior, swing freshness, nearby swing crowding, and optional higher-timeframe bias alignment. This matters because many sweep-style tools stop at a binary answer: sweep happened / sweep did not happen. This script asks a more useful follow-up question: how good was that sweep? That distinction is important on real charts. Some liquidity sweeps show strong rejection, clean close-back behavior, fresh structure, and supportive context. Others are simply noisy level violations inside a crowded area. By assigning a quality score, the script is designed to help users compare sweep events with more nuance. Another distinguishing feature is that the script separates watch conditions from qualified conditions. A level can first be challenged, then either reclaim cleanly or fail to reclaim. This helps reduce the tendency to treat every level breach as a reversal event. METHODOLOGY 1) SWING DETECTION The script uses confirmed pivot highs and confirmed pivot lows as its structural reference points. These pivots are not assumed in advance. They become available only after the user-defined Pivot Strength confirmation process is complete. 2) SWEEP TRIGGER A bearish sweep scenario begins when price trades above a stored swing high. A bullish sweep scenario begins when price trades below a stored swing low. 3) QUALIFICATION A sweep is considered qualified when price closes back through the swept level. By default, the script can evaluate same-bar reclaim behavior and, optionally, next-bar reclaim behavior. 4) QUALITY MODEL Each qualified sweep is scored using multiple factors, including: - penetration relative to ATR - rejection distance back through the level - wick-to-body ratio - relative volume versus a recent baseline - freshness of the swing level - nearby level crowding penalty - optional higher-timeframe trend alignment bonus The final output is normalized into a simple 1 to 10 quality score so chart reading remains fast and visually clean. 5) VISUAL MAPPING Qualified sweeps can display: - direction label - quality score label - sweep zone box - dashed memory line at the swept level - optional chart background tint - compact minor markers for lower-priority qualified sweeps This allows the chart to remain informative without forcing every event to carry the same visual weight. SIGNALS & ALERTS The script includes deterministic alert conditions for: - Bull Sweep Trigger - Bear Sweep Trigger - Bull Sweep Qualified - Bear Sweep Qualified - High Quality Bull Sweep - High Quality Bear Sweep A trigger means price challenged the stored liquidity level. A qualified sweep means price also reclaimed the level according to the script rules. A high-quality sweep means the final score exceeded the selected threshold. These states are intended to help users organize workflow and review price behavior. They are not instructions to buy or sell. KEY INPUTS Pivot Strength Controls how swings are confirmed. Higher values generally reduce noise but also make structural detection slower and more selective. Max Swing Age Limits how long old swing levels remain eligible. This helps keep the liquidity map focused on fresher structure. Allow Next-Bar Reclaim Allows the script to qualify a sweep when the reclaim happens on the next bar instead of only the sweep bar itself. ATR Length Used in the quality engine to normalize sweep depth and rejection distance. Relative Volume Length Defines the baseline used for volume comparison. Crowding Width (ATR) Helps penalize sweeps occurring in dense structural clusters, where nearby levels can reduce interpretive clarity. Higher Timeframe and HTF EMA Length Used to build an optional bias filter so aligned sweeps can receive a context bonus. Min Score For Full Labels Lets users keep high-information labels on stronger sweeps while weaker qualified sweeps can remain as compact markers. Same-Side Full Label Cooldown Reduces repeated full labels in the same direction over a short span, improving chart readability. LIMITATIONS & TRANSPARENCY This script is a chart-organization tool, not a stand-alone decision engine. Because the logic is pivot-based, swing levels are only confirmed after the chosen Pivot Strength delay. That means the structural reference points are confirmed swings, not instantly-known highs or lows. A liquidity sweep on one market, timeframe, or volatility regime may not behave the same way on another. The scoring framework is designed to rank events relative to the script's own rules, not to certify that a sweep will lead to reversal or continuation. Higher relative volume may improve context, but volume confirmation does not guarantee outcome quality. The higher-timeframe alignment feature is a contextual filter. It should not be interpreted as a macro trend forecast. Like any visual overlay, this tool can produce signals in choppy or highly reactive conditions that later prove less useful than they first appeared. Parameter selection matters. WHAT THIS SCRIPT IS NOT This script is not a promise of reversal. It is not a complete smart money framework. It is not a substitute for execution planning, risk management, or broader market context. It does not claim to detect institutional intent. It does not classify every level break as tradable. Instead, it focuses on one specific chart behavior: sweep-and-reclaim quality around confirmed swing liquidity. RISK DISCLOSURE This indicator is for analytical and educational use only. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend aggressively, or ignore local sweep signals for extended periods. Users should validate any chart workflow with their own process, risk controls, and market understanding before acting on any signal or alert. If you use this tool, it is generally best treated as a structural filter inside a broader workflow rather than as a stand-alone trigger. AGPro Series note: This publication is designed to emphasize structured chart reading, deterministic event definitions, and transparent methodology over promotional claims or outcome promises.
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