Breakout Participation Gate [AGPro Series]Breakout Participation Gate
🧠 Core Idea
Does the breakout have enough participation and structure to deserve attention?
📌 Overview / What it does
Breakout Participation Gate is a breakout validation tool built to separate structured breakouts from weak breaks and fakeout-prone moves.
The script builds upper and lower breakout gate levels from recent structure, evaluates breakout candle quality, checks relative volume, body commitment, close location, trend context, retest behavior, expansion potential, and fakeout risk.
It does not predict price direction, automate trades, or claim that a gate-open event must continue. It is a structured visualization and decision-support tool for breakout participation review.
🎯 Purpose & Design Philosophy
Breakouts are among the most searched and most misunderstood market events.
Many tools mark every move above resistance or below support.
This script was built to ask a stricter question:
Did the breakout pass the participation gate?
The design goal is to help traders avoid treating every structural break as equally meaningful.
⚡ Why This Script Is Different
Most breakout tools focus on the break itself.
This script does NOT mark every breakout as valid.
Instead, it checks whether the breakout had enough relative volume, body commitment, close location, range expansion, trend context, and retest behavior. It also keeps the active gate visible so users can watch whether the breakout holds, expands, or fails back inside the structure.
⚙️ Methodology
1. Context Detection
The script identifies recent upper and lower gate levels using a structure lookback.
2. Breakout Qualification
When price closes beyond a gate, the script scores participation through volume, candle body, close location, range expansion, and trend context.
3. Gate Classification
High-quality breakouts can become GATE OPEN events. Lower-quality breaks can be classified as WEAK BREAK.
4. Retest Evaluation
After a gate opens, the script projects a retest shelf and watches whether price defends the shelf.
5. Fakeout and Expansion Review
The script tracks whether price closes back inside the gate shelf or expands beyond the active gate with acceptable participation.
6. Visual Output
The chart displays breakout gate lines, retest shelf, event labels, right-side tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Upper Gate = recent upper structure level that price must break to start an upside gate evaluation.
Lower Gate = recent lower structure level that price must break to start a downside gate evaluation.
Breakout Retest Shelf = the active zone around the gate where retest behavior is evaluated.
GATE OPEN = breakout passed the participation gate.
WEAK BREAK = price broke the gate but participation quality was not strong enough.
RETEST HOLD = price defended the active retest shelf after the breakout.
FAKEOUT RISK = price closed back inside the gate shelf after the breakout.
EXPANSION READY = price expanded beyond the gate while participation remained acceptable.
Panel = summarizes gate status, quality score, direction, relative volume, body commitment, retest health, fakeout risk, and next context.
🚦 Signals & States
• GATE OPEN → breakout passed the participation gate.
• WEAK BREAK → price broke structure but did not show enough participation quality.
• GATE WATCH → active gate is being monitored after a breakout.
• RETEST HOLD → active retest shelf was defended.
• FAKEOUT RISK → price closed back through the gate shelf.
• EXPANSION READY → price expanded beyond the gate with acceptable participation.
• WAIT BREAKOUT → no active gate has been triggered.
🔔 Alerts Logic
Alerts trigger when a major breakout-gate state appears.
• Breakout Gate Open → breakout passed the participation gate.
• Weak Breakout → price broke a gate level without enough participation quality.
• Breakout Retest Hold → active retest shelf was defended.
• Breakout Fakeout Risk → price closed back inside the gate shelf after the breakout.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• Price closes beyond a defined structure gate
• Relative volume is above normal
• Candle body commitment is strong
• Close location supports the breakout direction
• Range expands versus ATR
• The breakout direction agrees with trend context
• Retest behavior respects the active gate shelf
When these elements do not align, the script avoids treating the breakout as automatically valid.
📊 When to Use
• Breakout validation
• Failed breakout review
• Retest planning
• Trend continuation review
• Crypto, stocks, futures, forex, and liquid markets
• 15m, 30m, 1H, 4H, and 1D charts
⚠️ When NOT to Use
• Very low-liquidity assets
• Extremely noisy micro timeframes
• Symbols with unreliable volume
• News-driven spikes where structure can be distorted
• Markets where every wick break is being over-interpreted
• Situations where a single breakout label is expected to act as a guaranteed signal
🎛️ Key Inputs
• Gate Structure Lookback → defines the recent structure window used for upper and lower gates.
• Breakout Close Buffer ATR → controls how far beyond the gate price must close.
• Minimum Breakout Relative Volume → defines how much participation is required for strong volume credit.
• Minimum Body Commitment % → controls how much candle body participation is required.
• Gate Quality Threshold → separates gate-open breakouts from weak breaks.
• Retest Evaluation Window → defines how long the active gate shelf remains under review.
• Retest Shelf Width ATR → controls the thickness of the retest shelf around the active gate.
• Expansion Ready Distance ATR → defines when a breakout has expanded far enough to be monitored as continuation-ready.
• Event Label Mode → Premium focuses on higher-quality gate states. Detailed allows more weak-break labels.
🖥️ Interface & Visual Design
The visual hierarchy is built around the gate:
Gate lines define the structure.
The retest shelf shows where the breakout should hold.
Event labels mark gate-open, weak-break, retest-hold, fakeout-risk, and expansion-ready states.
Right-side tags keep the active gate context visible.
The AG Pro panel compresses the current breakout context into a fast, readable summary.
🧪 Practical Usage Workflow
1. Read the panel gate status.
2. Check whether price has broken the upper or lower gate.
3. Compare quality score with the event label.
4. Watch the active retest shelf.
5. Check whether price holds, expands, or fails back inside the gate.
6. Confirm with broader market structure, liquidity, volume, and risk planning.
🔍 Interpretation Guidelines
A gate-open label does not guarantee continuation.
A weak-break label does not guarantee reversal.
A retest-hold label means the active shelf was defended according to the script's rules.
A fakeout-risk label means the breakout structure weakened.
The script is best used as a breakout-quality layer, not as a standalone trading system.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a simple support/resistance breakout marker.
⚠️ Limitations & Transparency
Breakout quality depends on market structure and liquidity.
Volume behavior can differ across crypto, futures, stocks, and forex.
Choppy ranges can create repeated weak-break and fakeout states.
Different timeframes may show different gate behavior.
Highly volatile news events can distort breakout quality.
🧠 Market Context Notes
Breakouts are strongest when structure, candle commitment, participation, and retest behavior align.
The first break is only one part of the story.
The active gate shelf helps users watch whether the market accepts the breakout after the first impulse.
🧾 Use Case Examples
If price closes above the upper gate with strong participation, the script may mark GATE OPEN.
If price breaks a gate but quality is weak, the script may mark WEAK BREAK.
If price returns to the active shelf and defends it, the script may mark RETEST HOLD.
If price closes back through the shelf, the script may mark FAKEOUT RISK.
🧱 System Philosophy
The goal is not to chase every breakout.
The goal is to filter breakout attention.
This script treats breakout quality as a sequence:
structure break → participation gate → retest shelf → expansion or failure.
🔐 Non-Promise Statement
No breakout label guarantees continuation.
No weak-break label guarantees reversal.
No retest label guarantees a successful trend move.
All outputs should be interpreted as analytical context.
📉 Risk Disclosure
Trading involves risk.
This script is for educational and analytical purposes only.
It does not provide financial advice, investment advice, or guaranteed trading outcomes.
Users are fully responsible for their own decisions, risk management, and trade execution.
📚 Educational Note
Use the script to study which breakouts attract real participation and which breaks fail to hold their gate.
The most useful question is not only whether price broke structure.
The better question is whether the breakout deserved attention after the break.
Indicator
Trend Maturity Ladder [AGPro Series]Trend Maturity Ladder
🧠 Core Idea
Is the trend still early, healthy, mature, stretched, or vulnerable to exhaustion?
📌 Overview / What it does
Trend Maturity Ladder is a trend lifecycle visualization tool built to classify the stage of an active trend.
The script builds a staged trend ladder, maps a healthy pullback shelf, marks an invalidation shelf, tracks maturity score, evaluates extension, identifies exhaustion risk, and summarizes the current lifecycle state in an AG Pro panel.
It does not predict price direction, automate trades, or claim that a mature trend must reverse. It is a structured decision-support tool for reading trend stage, pullback quality, and late-trend risk.
🎯 Purpose & Design Philosophy
Many trend tools answer only one question:
Is price trending?
This script was built to answer a more useful question:
Where is the trend in its lifecycle?
The design goal is to help traders separate early trend development, healthy continuation, mature structure, stretched extension, and invalidation pressure.
⚡ Why This Script Is Different
Most trend tools focus on moving average direction, ribbon color, or generic trend strength.
This script does NOT act as another trend-strength meter or moving-average ribbon.
Instead, it models the trend as a ladder with stages: early trend, active trend, mature trend, stretched trend, exhaustion watch, and invalidation pressure. It combines trend alignment, slope, ADX, distance from the slow trend reference, trend age, pullback depth, and momentum risk into one visual lifecycle map.
⚙️ Methodology
1. Context Detection
The script checks fast, slow, and anchor trend alignment to determine whether the market has a bullish trend, bearish trend, or mixed structure.
2. Maturity Scoring
It scores trend age, ATR-adjusted extension, slope, ADX, and moving-average alignment to estimate how mature the trend is.
3. Pullback Evaluation
It builds a healthy pullback shelf around the trend references and checks whether price is pulling back without breaking the broader ladder.
4. Exhaustion and Invalidation Review
It identifies late-trend extension risk and invalidation pressure when price closes through the trend shelf.
5. Visual Output
The chart displays maturity ladder zones, pullback shelves, invalidation shelves, trend rails, event labels, right-side tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Trend Maturity Ladder = the active lifecycle zone around the current trend.
Healthy Pullback Shelf = the area where pullbacks can remain structurally constructive.
Invalidation Shelf = the area where the trend ladder becomes vulnerable.
Trend Rails = fast, slow, and anchor trend references.
EARLY TREND = trend alignment is fresh.
ACTIVE TREND = trend structure is aligned and still developing.
MATURE TREND = trend has aged and expanded meaningfully.
STRETCHED TREND = the trend is extended relative to its slow reference.
EXHAUSTION WATCH = maturity, extension, and momentum conditions suggest late-trend risk.
INVALIDATION PRESSURE = price has closed through the invalidation shelf.
Panel = summarizes trend stage, maturity score, direction, pullback health, exhaustion risk, age, extension, and next context.
🚦 Signals & States
• EARLY TREND → trend alignment is fresh and still developing.
• ACTIVE TREND → trend is aligned and not yet deeply mature.
• MATURE TREND → trend has aged and expanded.
• STRETCHED TREND → price is extended from the slow trend reference.
• HEALTHY PULLBACK → price has pulled into the trend shelf without invalidating it.
• EXHAUSTION RISK → maturity, extension, and momentum risk are aligned.
• INVALIDATION PRESSURE → price has closed through the invalidation shelf.
• NO CLEAR TREND → fast, slow, and anchor references are not aligned.
🔔 Alerts Logic
Alerts trigger when a major trend lifecycle state appears.
• Trend Maturity Transition → the active trend stage changes.
• Healthy Trend Pullback → price pulls into the healthy trend shelf without invalidating the ladder.
• Trend Exhaustion Risk → maturity, extension, and momentum conditions align.
• Trend Invalidation Pressure → price closes through the invalidation shelf.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• Fast, slow, and anchor trend references align
• The slow reference has directional slope
• ADX supports directional structure
• Pullbacks respect the healthy shelf
• Extension is not excessively stretched
• The panel state agrees with the chart label
Late-trend caution increases when maturity, extension, and RSI pressure align.
📊 When to Use
• Trend-following review
• Pullback continuation planning
• Late-trend risk monitoring
• Crypto, stocks, futures, forex, and liquid markets
• 30m, 1H, 4H, 1D, and 1W charts
• Markets where trend structure is visible
⚠️ When NOT to Use
• Very choppy, non-directional markets
• Low-liquidity assets
• Extremely noisy micro timeframes
• Markets with frequent gaps that distort trend references
• Situations where a single trend score should not be over-interpreted
• When the user wants guaranteed entries or exits
🎛️ Key Inputs
• Fast Trend Length → controls short-term trend pressure.
• Slow Trend Length → controls the main maturity reference.
• Anchor Trend Length → filters weak or mixed trend regimes.
• ATR Length → controls ladder spacing, extension scoring, and label offsets.
• Early Trend Max Age → defines how long a fresh trend can remain early.
• Mature Trend Age → defines when age contributes strongly to maturity.
• Stretched Distance ATR → defines when trend extension becomes stretched.
• Healthy Pullback Width ATR → controls the pullback shelf thickness.
• Invalidation Shelf ATR → controls the distance of the invalidation shelf.
• Exhaustion RSI Level → adds momentum pressure to exhaustion-risk logic.
🖥️ Interface & Visual Design
The visual hierarchy is built around the trend lifecycle:
The ladder shows the active maturity zone.
The pullback shelf shows where continuation can be evaluated.
The invalidation shelf shows where the trend becomes vulnerable.
Event labels mark lifecycle transitions and risk states.
Right-side tags keep the current trend stage visible.
The AG Pro panel compresses the current trend lifecycle into a fast, readable summary.
🧪 Practical Usage Workflow
1. Read the panel trend stage.
2. Check whether trend direction is aligned.
3. Locate the healthy pullback shelf.
4. Watch whether price respects or breaks the shelf.
5. Check maturity score and exhaustion risk.
6. Confirm with market structure, liquidity, volume, and risk planning.
🔍 Interpretation Guidelines
An early trend does not guarantee continuation.
A mature trend does not guarantee reversal.
Exhaustion risk does not mean price must immediately turn.
Invalidation pressure means the current ladder structure has weakened.
The script is best used to understand trend lifecycle context, not to replace independent analysis.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a moving-average ribbon or a simple trend-strength meter.
⚠️ Limitations & Transparency
Trend stages depend on timeframe.
Choppy markets can create frequent stage changes.
Strong news moves can stretch trend references quickly.
Low-liquidity markets may create unreliable trend readings.
Different assets may require different trend lengths.
🧠 Market Context Notes
Trends often move through recognizable phases:
alignment → expansion → maturity → extension → pullback or invalidation.
This script visualizes that sequence so the user can avoid treating every trend as equally fresh.
🧾 Use Case Examples
If trend references align shortly after a transition, the script may classify EARLY TREND.
If price pulls into the shelf while the ladder remains intact, the script may mark HEALTHY PULLBACK.
If the trend becomes aged and extended while RSI is stretched, the script may mark EXHAUSTION RISK.
If price closes through the invalidation shelf, the script may mark INVALIDATION PRESSURE.
🧱 System Philosophy
The goal is not to chase trend strength.
The goal is to understand trend timing.
This script treats trend as a lifecycle:
early → active → mature → stretched → vulnerable.
🔐 Non-Promise Statement
No trend stage guarantees future price direction.
No pullback shelf guarantees continuation.
No exhaustion label guarantees reversal.
All outputs should be interpreted as analytical context.
📉 Risk Disclosure
Trading involves risk.
This script is for educational and analytical purposes only.
It does not provide financial advice, investment advice, or guaranteed trading outcomes.
Users are fully responsible for their own decisions, risk management, and trade execution.
📚 Educational Note
Use the script to study where trends tend to age, stretch, reset, or fail.
The most important question is not only whether a market is trending.
The better question is whether the trend is still fresh enough to deserve attention.
Indicator
Liquidity Timeframe Stack Map [AGPro Series]Liquidity Timeframe Stack Map
🧠 Core Idea
Are lower-timeframe liquidity sweeps aligned with the higher-timeframe liquidity shelf, or are they fighting the broader structure?
📌 Overview / What it does
Liquidity Timeframe Stack Map is a multi-timeframe liquidity context tool built to compare current-chart sweep behavior with higher-timeframe liquidity shelves.
The script maps the latest confirmed higher-timeframe upper and lower liquidity shelves, detects local buy-side and sell-side sweeps, evaluates wick-based reaction quality, and converts the result into a readable stack state.
It does not predict price direction, automate trades, or claim that every sweep will create a reversal. It is designed as a structured market context and visualization tool.
🎯 Purpose & Design Philosophy
This script was built to solve a common liquidity-reading problem:
A lower-timeframe sweep can look important by itself, but its meaning changes when it happens near a higher-timeframe shelf.
The goal is to help traders separate aligned liquidity reactions from isolated local noise. The script supports a context-first mindset: read the shelf, read the sweep, then judge whether the reaction is aligned or conflicting.
⚡ Why This Script Is Different
Most liquidity tools focus on detecting a sweep, stop run, equal high, or equal low.
This script does NOT treat every sweep as equally important.
Instead, it compares the local sweep against a higher-timeframe liquidity framework and classifies whether the move is a stack alignment, a stack conflict, or a neutral shelf interaction.
⚙️ Methodology
1. Higher-Timeframe Shelf Detection
The script reads confirmed pivot structure from the selected higher timeframe and builds active upper and lower liquidity shelf zones.
2. Local Sweep Detection
The chart timeframe is used as the lower-timeframe layer. Local buy-side and sell-side sweeps are detected when price takes a recent pivot level and closes back through it.
3. Reaction Evaluation
The script evaluates wick reaction quality after the sweep. Stronger wick rejection or reclaim behavior produces a higher reaction quality score.
4. Stack Classification
The script checks whether the local sweep occurred near the relevant higher-timeframe shelf. If the sweep and shelf context align, the script marks an HTF Buy Stack or HTF Sell Stack. If the sweep fights the broader shelf context, it marks a Stack Conflict.
5. Visual Output
The result is displayed through HTF shelf zones, sweep markers, stack labels, right-side tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Upper HTF Liquidity Shelf = the active higher-timeframe upper liquidity reference.
Lower HTF Liquidity Shelf = the active higher-timeframe lower liquidity reference.
Buy-Side Sweep marker = price swept a local upper liquidity reference and closed back below it.
Sell-Side Sweep marker = price swept a local lower liquidity reference and closed back above it.
HTF Buy Stack label = a sell-side sweep reacted near the lower HTF shelf with enough reaction quality.
HTF Sell Stack label = a buy-side sweep reacted near the upper HTF shelf with enough reaction quality.
Stack Conflict label = the local sweep behavior is not cleanly aligned with the broader HTF shelf context.
Panel = summarizes stack state, stack score, HTF shelves, LTF sweep state, reaction quality, next context, and invalidation reference.
🚦 Signals & States
• HTF BUY STACK → sell-side liquidity was swept near the lower higher-timeframe shelf with a qualifying reaction.
• HTF SELL STACK → buy-side liquidity was swept near the upper higher-timeframe shelf with a qualifying reaction.
• STACK CONFLICT → local sweep behavior is fighting or confusing the broader shelf context.
• LOWER SHELF → price is interacting with the lower HTF shelf area, but no full stack event is active.
• UPPER SHELF → price is interacting with the upper HTF shelf area, but no full stack event is active.
• NEUTRAL → no active shelf alignment or conflict is detected.
🔔 Alerts Logic
Alerts trigger when a new major stack condition appears.
• HTF Buy Stack Alignment → a sell-side sweep aligns with the lower higher-timeframe liquidity shelf.
• HTF Sell Stack Alignment → a buy-side sweep aligns with the upper higher-timeframe liquidity shelf.
• Liquidity Stack Conflict → the local sweep direction conflicts with the broader higher-timeframe shelf context.
• HTF Liquidity Shelf Touch → price enters either active higher-timeframe shelf zone.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when these elements align:
• Price is near an active higher-timeframe shelf
• Local liquidity is swept
• The candle closes back through the swept level
• Wick reaction quality is strong
• The panel state and chart label agree
When these elements do not align, the script treats the context as neutral or conflicting instead of forcing a directional interpretation.
📊 When to Use
• Multi-timeframe liquidity analysis
• Swing and intraday market preparation
• Smart-money-style structure review
• Sweep and reclaim evaluation
• Context checks before interpreting local reactions
• Markets where higher-timeframe levels matter
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely noisy lower timeframes
• Markets with unreliable wick structure
• Situations where the selected higher timeframe is not meaningful
• Assets with large gaps or inconsistent session data
• Moments when a single local candle should not be over-interpreted
🎛️ Key Inputs
• Higher Timeframe Shelf → selects the timeframe used to build the broad liquidity shelves.
• HTF Shelf Pivot Length → controls how strict the higher-timeframe shelf structure is.
• LTF Sweep Pivot Length → controls how local sweep references are detected.
• Shelf Zone Width ATR → adjusts the visual thickness of HTF shelf zones.
• Max Shelf Width % Range → caps shelf thickness relative to the distance between the upper and lower HTF shelves, keeping the visual structure clean on wide timeframes.
• Near Shelf Distance ATR → controls how close a sweep must be to a shelf to count as aligned.
• Reaction Quality Threshold → sets the minimum wick reaction required for a strong stack event.
• Stack Score Smoothing → smooths the panel score for cleaner interpretation.
• Visual settings → control shelves, equilibrium line, sweep markers, event labels, right-side tags, and font sizes.
• Show Sweep Marker Letters → adds optional BS / SS text to local sweep markers. The default publication view keeps this disabled for a cleaner chart.
• Event Label Mode → Premium labels only strong HTF stack alignments. Detailed also labels stack conflicts.
• Adaptive Label Layout → automatically shortens and separates shelf labels when higher timeframes compress the HTF shelf cluster.
• Event Label Offset ATR → moves stack event labels farther from candles and shelf-center labels. HTF Sell Stack labels are pushed above the upper shelf zone, while HTF Buy Stack labels are pushed below the lower shelf zone to reduce overlap on publication screenshots.
• Right-side tags use adaptive positioning so the STACK tag avoids crowding the HTF UPPER and HTF LOWER tags when price is near a shelf.
🖥️ Interface & Visual Design
The interface is built around a clear visual hierarchy:
HTF shelves show the broader liquidity map.
Sweep markers show local liquidity events.
Stack labels show important alignment or conflict moments.
The AG Pro panel compresses the current state into a fast, readable decision-support summary.
🧪 Practical Usage Workflow
1. Start with the panel state.
2. Check where price is relative to the HTF upper and lower shelves.
3. Look for a recent buy-side or sell-side sweep marker.
4. Read the event label only if the sweep happened near the relevant shelf.
5. Use Reaction Q and Stack Score to judge whether the context is clean or weak.
6. Interpret the result inside the broader market structure.
🔍 Interpretation Guidelines
HTF Buy Stack does not mean price must go up. It means a sell-side sweep reacted near a lower higher-timeframe shelf with enough quality to deserve attention.
HTF Sell Stack does not mean price must go down. It means a buy-side sweep reacted near an upper higher-timeframe shelf with enough quality to deserve attention.
Stack Conflict is often more useful as a warning than as a signal. It tells the trader that the local sweep and broader shelf context are not cleanly aligned.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It does not claim that every liquidity sweep will reverse.
⚠️ Limitations & Transparency
Higher-timeframe pivot shelves are confirmed after structure develops, so they are not instant future levels.
Different chart timeframes may create different local sweep readings.
Very volatile markets may generate fast shelf touches without clean reactions.
Low-liquidity symbols may produce misleading wick behavior.
The selected higher timeframe should match the trader’s actual analysis horizon.
🧠 Market Context Notes
Liquidity analysis is strongest when local behavior is interpreted inside a broader structure.
A sweep near a meaningful higher-timeframe shelf can carry more information than a random sweep in the middle of a range.
This script is designed to make that distinction visible.
🧾 Use Case Examples
When price sweeps local sell-side liquidity near the lower HTF shelf and closes back above the swept level, the script may mark HTF BUY STACK if reaction quality is strong enough.
When price sweeps local buy-side liquidity near the upper HTF shelf and closes back below the swept level, the script may mark HTF SELL STACK if reaction quality is strong enough.
When a local sweep appears away from the relevant higher-timeframe shelf, the script may classify the move as neutral or conflicting.
🧱 System Philosophy
The script follows a context-first AGPro approach:
Structure first.
Liquidity second.
Reaction third.
Decision support last.
It is designed to reduce isolated signal thinking and encourage multi-timeframe interpretation.
🔐 Non-Promise Statement
No script can guarantee outcomes.
No shelf, sweep, score, or label should be treated as certainty.
The output should always be combined with broader market context and personal risk rules.
📉 Risk Disclosure
Trading involves risk.
Markets can move against any interpretation.
This script is for educational and analytical purposes only.
Users are fully responsible for their own decisions.
📚 Educational Note
Use this script to study how lower-timeframe liquidity behavior changes when it is read against higher-timeframe structure.
Indicator
Crypto Dominance Rotation Map [AGPro Series]Crypto Dominance Rotation Map
🧠 Core Idea
Is crypto capital rotating toward Bitcoin, Ethereum, altcoins, or defensive stablecoin exposure?
📌 Overview / What it does
Crypto Dominance Rotation Map is a crypto market regime tool built to read capital rotation through Bitcoin dominance, Ethereum dominance, broad altcoin participation, and stablecoin defensive pressure.
The script produces a four-lane rotation map, a 0-100 Risk Participation Score, curated regime labels, right-side lane tags, alert conditions, and an AG Pro panel that summarizes the active crypto capital-flow state.
It does not predict price direction, automate trades, or claim that dominance rotation will always lead to a specific outcome. It is designed as a structured market context and visualization tool.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between single-symbol price indicators and broader crypto market context.
Many crypto traders watch BTC dominance, ETH dominance, altcoin market capitalization, and stablecoin dominance separately. This script brings those references into one readable rotation map so the trader can understand the current capital-flow environment faster.
The mindset is context-first: identify where attention and capital may be concentrating before interpreting individual chart setups.
⚡ Why This Script Is Different
Most tools focus on the active chart symbol or on a basket of crypto assets.
This script does NOT try to call buys or sells on one coin.
Instead, it maps dominance rotation across Bitcoin, Ethereum, altcoins, and stablecoin defense so the trader can read the broader crypto regime behind the chart.
⚙️ Methodology
1. Dominance Mapping
The script reads Bitcoin dominance, Ethereum dominance, altcoin market-cap participation, and stablecoin dominance.
2. Rotation Scoring
Each reference is converted into a normalized 0-100 lane score using configurable momentum and smoothing.
3. Regime Classification
The model classifies the active state as BTC Lead, ETH Lead, Alt Risk-On, Defensive, Rotation Watch, or Neutral.
4. Visual Output
The script plots four rotation lanes, a Risk Participation Score, event labels, right-side tags, and a compact panel.
🗺️ How to Read the Chart
BTC Lane shows whether Bitcoin dominance is gaining leadership.
ETH Lane shows whether Ethereum dominance is improving versus the broader crypto market.
Altcoin Lane shows whether broad non-Bitcoin participation is improving.
Stable Lane shows whether stablecoin dominance is rising, which may reflect defensive positioning.
The Risk Participation Score summarizes whether crypto rotation is constructive, defensive, or undecided.
🚦 Signals & States
• BTC LEAD → Bitcoin dominance is the active leadership lane.
• ETH LEAD → Ethereum dominance is leading rotation.
• ALT RISK-ON → altcoin participation is constructive and broad risk appetite is stronger.
• DEFENSIVE → stablecoin dominance pressure is elevated.
• ROTATION WATCH → no clean leader yet, but participation is improving.
• NEUTRAL → no strong capital-flow leader is confirmed.
🔔 Alerts Logic
Alerts trigger when the active rotation state changes into a major regime.
Available alert states:
• BTC Dominance Leadership
• ETH Dominance Leadership
• Altcoin Risk-On Rotation
• Defensive Stablecoin Rotation
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
Context becomes stronger when the active rotation state aligns with the trader’s chart setup.
For example, an altcoin breakout may carry stronger context when the map shows Alt Risk-On. A defensive state may encourage more caution around aggressive long setups.
📊 When to Use
• Crypto market regime review
• Altcoin season / Bitcoin dominance monitoring
• Risk-on and risk-off context checks
• Higher-timeframe crypto market preparation
• Comparing individual setups with broader market rotation
⚠️ When NOT to Use
• Very low-liquidity crypto assets
• Symbols that do not respond to broader crypto conditions
• Extremely short-term scalping where dominance data is too slow
• Periods where dominance symbols are unavailable or delayed
🎛️ Key Inputs
• BTC Dominance Symbol → Bitcoin dominance reference.
• ETH Dominance Symbol → Ethereum dominance reference.
• Altcoin Market Cap Symbol → broad altcoin participation proxy.
• Stablecoin Dominance Symbol → defensive crypto positioning proxy.
• Rotation Momentum Length → how far back rotation pressure is measured.
• Rotation Smoothing → how smooth or reactive the lane map becomes.
• Risk-On / Defensive Thresholds → state classification sensitivity.
🖥️ Interface & Visual Design
The interface is designed around a four-lane map. Each lane has a clear role: BTC, ETH, ALT, and STABLE.
Event labels highlight regime changes without turning the chart into a signal board.
The panel summarizes state, risk score, lane values, dominance readings, next context, and timeframe.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check which lane is leading.
3. Compare the Risk Participation Score with the active chart idea.
4. Use labels and alerts as context markers.
5. Confirm with price structure, volume, and your own risk plan.
🔍 Interpretation Guidelines
The script should be interpreted as market context.
BTC leadership may indicate capital concentration in Bitcoin. Alt Risk-On may suggest broader participation. Defensive stablecoin rotation may indicate caution.
No state is automatically bullish or bearish for every asset.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed signals.
⚠️ Limitations & Transparency
Dominance symbols may update differently from exchange-traded instruments.
Timeframe selection can materially change the rotation read.
Crypto market conditions can shift quickly during volatility events.
The script depends on the availability and quality of the selected reference symbols.
🧠 Market Context Notes
Dominance rotation is often more useful as a background regime filter than as a direct entry signal.
The strongest use case is comparing an individual crypto setup against the broader flow of capital across Bitcoin, Ethereum, altcoins, and defensive stable exposure.
🧾 Use Case Examples
When an altcoin setup appears while the map shows Alt Risk-On, the broader participation context may be more supportive.
When Bitcoin dominance leads while altcoin participation weakens, altcoin setups may require more selectivity.
When stablecoin dominance becomes defensive, aggressive risk-on interpretations should be handled more carefully.
🔐 Non-Promise Statement
No script can provide certainty.
This tool provides structured context, not guaranteed outcomes.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions.
This script does not provide financial advice.
📚 Educational Note
Use this script to study how crypto capital rotation changes across market regimes and how that context interacts with individual chart setups.
Indicator
Indicator
Indicator
Crypto Market Breadth Risk Planner [AGPro Series]Crypto Market Breadth Risk Planner
🧠 Core Idea
Is the crypto market showing broad risk-on participation, weakening rotation, or a risk-off breadth environment?
📌 Overview / What it does
Crypto Market Breadth Risk Planner is a chart-first market breadth tool built to evaluate whether a selected crypto basket is participating broadly or weakening internally.
Instead of reading only the active chart symbol, the script reviews a configurable basket of major crypto pairs. It measures how many symbols are trading above their trend baseline, how many have positive momentum, how many have rising trend structure, and how much volatility stress is present across the basket.
The script produces a 0-100 Breadth Risk Score, a colored breadth risk corridor on the active chart, event labels, right-side tags, alerts, and a compact AG Pro panel. It does not predict price direction, automate execution, or claim that breadth alone is enough to trade.
🎯 Purpose & Design Philosophy
This script was built because single-chart analysis can look strong while the broader crypto market is quietly weakening, or look weak while breadth is beginning to rotate back into strength.
The purpose is to help traders read market participation before treating an individual setup as clean. Strong setups usually have a better context when the broader basket is aligned, while weaker breadth can warn that a chart may be more exposed to false follow-through.
The design supports traders who want broader market context without opening ten charts manually. It turns cross-market participation into a simple decision-support layer that can be read directly on the current chart.
⚡ Why This Script Is Different
Most crypto tools focus on the active symbol, a single benchmark, a simple correlation reading, or a raw relative-strength line.
This script does NOT act as a benchmark correlation meter, a relative-strength rotation map, a volume spike detector, or a generic trend dashboard.
Instead, it evaluates breadth across a user-defined crypto basket and converts that participation into a risk-readiness framework. The goal is not to say which coin to buy or sell. The goal is to show whether the broader crypto environment is supportive, mixed, stressed, or risk-off.
⚙️ Methodology
1. Context Detection
The script requests data from a configurable crypto basket and evaluates each symbol on the selected breadth timeframe.
2. Reference Mapping
Each symbol is compared against its own trend baseline, momentum reading, trend slope, and ATR-based volatility stress condition.
3. Reaction Evaluation
The script combines trend participation, momentum participation, slope confirmation, and volatility stress into a single Breadth Risk Score.
4. Visual Output
The final output includes a colored breadth risk corridor, centered corridor text, event labels, right-side tags, optional bar coloring, alerts, and an AG Pro panel.
🗺️ How to Read the Chart
Zones:
The breadth risk corridor is a visual context zone around price. Its color reflects the current breadth regime rather than a direct support or resistance level.
Labels:
Labels mark important breadth state transitions such as Risk-On, Rotation Watch, Risk-Off, Stress Review, and Cooling.
Colors:
Teal represents broad constructive participation.
Pink represents risk-off breadth or weak participation.
Gold represents stress or caution.
Indigo represents improving rotation or transitional breadth.
Panel:
The panel summarizes breadth participation, Breadth Risk Score, momentum, stress, regime, and action state.
🚦 Signals & States
• Risk-On Ready → Broad participation and momentum are strong enough to support risk-on review.
• Rotation Watch → Breadth is improving, but not yet strong enough for full risk-on classification.
• Stress Review → Volatility stress is elevated while breadth quality remains weak.
• Risk-Off → Basket participation is weak or deteriorating.
• Cooling → Stress is easing while breadth quality begins to improve.
• Wait Breadth → No strong breadth regime is currently active.
🔔 Alerts Logic
Alerts can trigger when the basket shifts into Risk-On, Rotation Watch, Risk-Off, Stress Review, or Cooling.
Alerts are attention markers only. They highlight changes in the breadth model. They are not trade instructions, automated entries, or guaranteed market calls.
🧩 Confluence Logic
The context becomes stronger when multiple breadth layers align together.
For example, a high Breadth Risk Score with many symbols above their trend baselines, positive momentum participation, rising trend slopes, and low stress suggests a cleaner risk-on environment than a rally led by only one or two symbols.
Likewise, weak participation combined with elevated stress can warn that individual bullish setups may need stricter review.
📊 When to Use
• Crypto market context review
• BTC, ETH, altcoin, and sector-style crypto watchlists
• 1H, 4H, and 1D market participation analysis
• Before treating individual setups as risk-on
• When the trader wants to know whether the broader crypto basket supports the active chart
⚠️ When NOT to Use
• Markets where selected symbols have unreliable data
• Very small or illiquid crypto pairs with distorted candles
• Situations where the basket does not match the user's trading universe
• Low-timeframe scalping where external-symbol breadth may be too slow
• News-driven events where correlation and breadth can change abruptly
🎛️ Key Inputs
• Crypto Basket Symbols → define the assets used in the breadth model
• Breadth Timeframe → controls whether the basket is evaluated on chart timeframe, 1H, 4H, or 1D
• Trend Baseline Length → controls the EMA reference used for participation
• Momentum Length → controls the ROC window used for positive or negative participation
• ATR Stress Threshold → controls when basket volatility begins to count as stress
• Minimum Risk-On Score → controls how selective the risk-on state should be
• Visual Settings → control corridor, labels, right-side tags, panel location, theme, and font size
🖥️ Interface & Visual Design
The interface is designed to make broad crypto participation readable without turning the chart into a large dashboard.
The corridor gives a fast visual state directly on the chart. The panel provides the structured readout. Labels mark only important transitions, while cooldown and memory controls keep historical events from overwhelming the chart.
The visual intent is premium, clean, and publication-friendly.
🧪 Practical Usage Workflow
1. Read the panel to identify the current breadth regime.
2. Check the Breadth Risk Score and participation percentage.
3. Review whether momentum and stress support or conflict with the active chart setup.
4. Use the corridor color as a market-context layer, not as a direct entry zone.
5. Combine breadth context with price structure, volatility, liquidity, and personal risk rules.
🔍 Interpretation Guidelines
A strong score means the selected crypto basket is broadly aligned according to the script's rules.
A Rotation Watch state means breadth is improving, but the market has not fully confirmed broad risk-on participation.
A Stress Review state means volatility pressure is elevated while breadth remains weak or mixed.
A Risk-Off state means the selected basket is not supporting broad participation under the current settings.
🚫 What This Script Is NOT
This script is not a prediction engine.
This script is not financial advice.
This script is not an automated trading system.
This script does not place orders.
This script does not guarantee market direction, continuation, reversal, or profitability.
⚠️ Limitations & Transparency
This script depends on the selected symbols, selected timeframe, and PulseWire data availability.
Different baskets can produce different breadth readings. A BTC-heavy basket may behave differently from an altcoin-heavy basket. External symbol data may also load differently depending on market, exchange, and PulseWire availability.
The script should be interpreted as market context, not as a standalone execution model.
🧠 Market Context Notes
Crypto often moves through participation waves. Sometimes BTC leads while altcoins lag. Sometimes the whole market rotates together. Sometimes volatility rises while breadth deteriorates, creating a more fragile environment.
This script is designed to make that internal participation easier to observe directly from the active chart.
🧾 Use Case Examples
Example 1:
BTC is breaking higher, but the panel shows weak breadth and high stress. The trader may decide that the move needs extra confirmation before treating it as broad risk-on.
Example 2:
ETH is consolidating, but the basket shifts into Rotation Watch with improving momentum. The trader can monitor whether the active chart begins to align with the broader rotation.
Example 3:
The basket prints Risk-Off while an individual altcoin setup looks technically clean. The script warns that the broader market backdrop is not supportive under the current model.
🧱 System Philosophy
AGPro Series tools are built as decision-support frameworks, not signal vending machines.
This script follows that philosophy by turning broad market participation into a structured context layer: define the basket, score the breadth, map the state, and show the next action clearly.
🔐 Non-Promise Statement
This script does not promise certainty.
It does not promise that a risk-on breadth state will produce gains, or that a risk-off state will produce losses. It only organizes participation context so the user can evaluate the broader market with more clarity.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly, and breadth models can fail or become less useful during sudden volatility, exchange-specific moves, or news-driven repricing. Users remain responsible for their own decisions, execution, and risk management.
This script is for educational and analytical purposes only. It does not provide financial advice.
📚 Educational Note
Use this tool to study how crypto breadth changes before, during, and after major market moves.
Its strongest value comes from comparing the active chart with the broader basket context rather than reading any single label in isolation.
Indicator
Range Equilibrium Rotation Planner [AGPro Series]Range Equilibrium Rotation Planner
🧠 Core Idea
Is price rotating cleanly away from range equilibrium toward an edge, or is the midpoint still controlling the auction?
📌 Overview / What it does
Range Equilibrium Rotation Planner maps mature range structure and focuses on the midpoint equilibrium area instead of treating every range as a breakout setup.
The script displays the active range box, equilibrium band, edge rails, rotation room rail, failure rail, event labels, right-side tags, optional bar coloring, and a compact AG Pro dashboard with a 0-100 Rotation Score.
It does not predict range breaks. It helps organize range balance, midpoint control, directional rotation, edge room, failure risk, and next-action state.
🎯 Purpose & Design Philosophy
Many range tools focus on support, resistance, or breakout alerts.
This script was built for a different question: what happens inside the range before price reaches the edge?
It helps traders review whether price is still trapped around equilibrium or beginning a clean rotation from the midpoint toward the upper or lower edge.
⚡ Why This Script Is Different
Most range indicators draw a box and wait for a breakout.
This script does NOT center the workflow on range escape.
Instead, it evaluates range maturity, midpoint control, rotation quality, edge room, and failure back through equilibrium. The goal is rotation planning, not breakout prediction.
⚙️ Methodology
1. Range Maturity Detection
The script builds a rolling range using recent high and low structure, then checks whether the height and edge interactions are meaningful.
2. Equilibrium Mapping
The midpoint band is calculated around the center of the range and becomes the key control zone.
3. Rotation Evaluation
Price must move away from equilibrium with enough buffer before directional rotation is considered active.
4. Risk / Room Structure
The active edge becomes the room reference, while the opposite side of equilibrium becomes the failure area.
5. Visual Output
The chart receives a range box, equilibrium band, edge rails, room rail, failure rail, labels, right-side tags, optional bar coloring, and dashboard panel.
🗺️ How to Read the Chart
The range box marks the current high-to-low structure.
The equilibrium band shows the midpoint area where rotation control is evaluated.
The upper and lower rails mark the active range edges.
The room rail marks the edge being targeted by the active rotation.
The failure rail marks where rotation has moved back through the wrong side of equilibrium.
Labels highlight mature ranges, rotations from midpoint, equilibrium holds, edge reviews, and failed rotations.
Colors represent context:
• Teal → bullish rotation
• Pink → bearish rotation or failure
• Gold → equilibrium, room, or edge review
• Indigo → range structure or waiting context
The panel summarizes:
• Range
• Rotation Score
• Balance
• Room
• Action
🚦 Signals & States
• Range Ready → a mature range structure is available
• Bull Rotation → price rotated upward from equilibrium
• Bear Rotation → price rotated downward from equilibrium
• Midpoint Hold → price remains controlled by the equilibrium band
• Edge Review → price reached the active range edge
• Failed → rotation moved back through the failure rail
• READY → rotation quality and room are strong enough to monitor
• MONITOR → rotation is active but not fully ready
• WAIT RANGE → no mature range exists
• WAIT ROTATION → range exists but no clean rotation has started
🔔 Alerts Logic
Alerts can trigger when a mature range appears, when bullish or bearish rotation begins, when READY state appears, when midpoint hold appears, when an edge is reached, or when the rotation fails.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when range maturity, balanced edge interaction, midpoint departure, edge room, and failure distance align.
The script avoids treating midpoint noise as a clean rotation without confirmation.
📊 When to Use
• Sideways markets with visible range structure
• Crypto, forex, indices, and liquid stocks
• 1H, 4H, and 1D market structure review
• Mean-reversion planning inside a range
• Range edge preparation without waiting for breakout-only logic
⚠️ When NOT to Use
• Strong one-directional trends with no range structure
• Thin symbols with unreliable highs and lows
• News-driven candles that distort range boundaries
• Very small ranges where spread or tick noise dominates
• Markets with unstable data or irregular sessions
🎛️ Key Inputs
• Range Lookback → controls the structure used to build the range
• Minimum / Maximum Range Height ATR → filters ranges that are too small or too wide
• Edge Touch Tolerance → controls how edge interactions are counted
• Equilibrium Band ATR → controls midpoint band width
• Rotation Break Buffer → controls how far price must move beyond equilibrium
• Minimum Ready Score → controls READY strictness
• Projection Bars → controls how far boxes, rails, and tags extend
• Visual settings → control labels, tags, panel location, theme, and font size
🖥️ Interface & Visual Design
The panel is designed to show the range state, rotation quality, balance, room, and action without overloading the chart.
The first row uses a merged AG Pro header. The chart layer keeps the range and equilibrium structure visible while leaving room for price action.
Labels are controlled with cooldown and maximum count settings to preserve a premium screenshot style.
🧪 Practical Usage Workflow
1. Read the panel.
2. Confirm a mature range exists.
3. Check whether price is still at equilibrium or rotating away.
4. Review room to the active edge.
5. Watch the failure rail if rotation loses control.
🔍 Interpretation Guidelines
A high score means range maturity, midpoint departure, and edge room are aligned.
A midpoint hold means equilibrium is still controlling the auction.
An edge review means the rotation has reached the active range edge and should be interpreted as context, not as an automatic exit.
A failed state means the active rotation moved back through its failure boundary.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not place orders.
It does not guarantee edge reach, reversal, breakout, or profitability.
⚠️ Limitations & Transparency
Range boundaries can shift as new highs or lows appear.
Different timeframes may show different range structures.
Large volatility events can temporarily distort range height and edge touch quality.
Low liquidity may create unreliable equilibrium or edge behavior.
The script is rule-based and should be interpreted within broader market context.
🧠 Market Context Notes
Equilibrium is often where the market decides whether price will rotate toward an edge or remain balanced.
The strongest rotation contexts usually appear when price leaves midpoint with room, while failure remains clearly defined.
This script is designed to make that inside-range decision point easier to read.
🧾 Use Case Examples
When price holds near midpoint and then closes above the equilibrium band, the script can begin tracking bullish rotation toward the upper range edge.
When price rotates downward from equilibrium and reaches the lower edge, the context shifts into edge review rather than fresh entry signaling.
When price moves back through the failure rail, the active rotation context fails.
🧱 System Philosophy
AGPro Series tools are built as decision-support systems.
They aim to convert market structure into readable context: what is active, what improves the plan, what invalidates it, and what should be reviewed next.
🔐 Non-Promise Statement
No script can provide certainty.
No signal guarantees outcome.
This tool provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Markets can move quickly and unexpectedly.
Users are responsible for their own analysis, risk management, and decisions.
This script does not provide financial advice.
📚 Educational Note
Use this tool to study how range equilibrium, midpoint control, rotation quality, and edge room interact across different symbols and timeframes.
Indicator
Prior Close Reclaim Planner [AGPro Series]Prior Close Reclaim Planner
🧠 Core Idea
Is the prior close being reclaimed, rejected, or treated as a live magnet by the current market?
📌 Overview / What it does
Prior Close Reclaim Planner maps the completed prior close as a live support/resistance reference and evaluates how price reacts around that level.
The script displays a prior-close rail, an ATR-based reclaim pocket, reclaim labels, rejection labels, magnet-zone labels, right-side reference tags, and a compact AG Pro dashboard with a 0-100 reclaim score.
It does not predict where price will go next. It helps organize the reaction around the previous close: reclaim quality, rejection pressure, magnet risk, rail state, and action context.
🎯 Purpose & Design Philosophy
The previous close is one of the simplest reference levels on a chart, but it is often read too casually.
This script was built to turn that reference into a structured planning map. It helps traders see whether the prior close is acting as support, resistance, a magnet, or a failed reclaim zone.
The design supports a patient decision-support mindset: read the rail, evaluate the reaction, check the score, and place the output inside broader market context.
⚡ Why This Script Is Different
Most tools draw a prior close line and stop there.
This script does NOT treat the prior close as a passive horizontal level.
Instead, it builds an active reclaim planner with a pocket, reaction labels, magnet context, relative-volume support, volatility fit, a readiness score, and a clear action state.
⚙️ Methodology
1. Prior Close Detection
The script sources the completed prior close from the selected reference timeframe. Daily is the default setting for previous-session analysis.
2. Reclaim Pocket Mapping
An ATR-based pocket is created above and below the prior close. This pocket is used to avoid overreacting to tiny ticks around the rail.
3. Reaction Evaluation
The script evaluates close location, wick response, relative volume, distance from the rail, and volatility fit.
4. Visual Output
The chart receives the rail, pocket, labels, right-side tags, bar coloring if enabled, and a dashboard panel summarizing the current state.
🗺️ How to Read the Chart
The central rail shows the completed prior close.
The pocket around the rail shows where reclaim and rejection behavior is evaluated.
Labels highlight bullish reclaim, bearish reclaim, rail defense, rail rejection, magnet-zone entries, and failed reclaim behavior.
Colors represent context:
• Teal → bullish reclaim or defense
• Pink → bearish reclaim or rejection
• Gold → neutral or waiting context
• Indigo → magnet or monitoring context
The panel summarizes:
• Prior Close
• Reclaim Score
• Magnet Risk
• Rail State
• Action
🚦 Signals & States
• Bull Prior Close Reclaim → price closed above the reclaim pocket
• Bear Prior Close Reclaim → price closed below the reclaim pocket
• Rail Defense → price tested the pocket and closed back above it
• Rail Rejection → price tested the pocket and closed back below it
• Magnet Zone → price is close enough to the prior close to treat the rail as active
• Invalidated → a reclaim attempt failed back through the prior-close rail
• READY → reclaim/rejection quality is strong enough to monitor
• MONITOR → price is near the rail, but conditions are not fully ready
• WAIT → no strong prior-close reaction is active
🔔 Alerts Logic
Alerts can trigger when price reclaims the prior close pocket, rejects the pocket, enters the magnet zone, reaches READY conditions, or invalidates a reclaim attempt.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The prior-close context becomes stronger when close location, wick response, relative volume, volatility fit, and distance from the rail align.
For example, a reclaim with strong close quality, acceptable volume, and controlled distance from the rail is more structured than a weak close far from the reference.
📊 When to Use
• Intraday trading around the previous session close
• Session reclaim or rejection analysis
• Support/resistance reaction planning
• Trending markets that retest the prior close
• Range conditions where the prior close acts as a magnet
• Liquid symbols with readable candles and stable spreads
⚠️ When NOT to Use
• Very low-liquidity markets
• Symbols with unreliable session structure
• Extremely noisy chop around the rail
• News candles with unstable spreads
• Markets where the selected reference timeframe is not meaningful
🎛️ Key Inputs
• Reference Timeframe → controls where the completed prior close comes from
• Reclaim Pocket ATR → controls the width of the reaction pocket around the rail
• Magnet Distance ATR → controls when price is treated as close enough to the rail
• Minimum Ready Score → controls the score required for READY state
• Relative Volume Length → controls participation comparison
• Confirmation Mode → controls how strict reclaim/rejection evaluation should be
• Visual settings → control rails, pockets, labels, tags, bar colors, and dashboard behavior
🖥️ Interface & Visual Design
The interface is built for fast chart reading.
The prior close rail creates the main reference, the pocket defines the active reaction area, labels mark important events, and the panel compresses the state into a clean decision-support dashboard.
The goal is a premium, readable chart without turning the prior close into a cluttered signal board.
🧪 Practical Usage Workflow
1. Read the panel action state
2. Check whether price is above, below, or inside the prior-close pocket
3. Evaluate reclaim or rejection labels
4. Compare score quality with magnet risk
5. Confirm the context with broader structure, volume, and timeframe alignment
🔍 Interpretation Guidelines
A READY state means the prior-close reaction has enough structure to monitor.
Magnet risk means price is still close enough to the rail for the prior close to matter.
A reclaim label means the market crossed beyond the pocket, not that continuation is guaranteed.
A rejection or defense label means price reacted at the rail, but the broader trend and volatility context still matter.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a guaranteed prior-close trading system.
It is not an automated trading tool.
It does not provide financial advice.
It does not guarantee continuation, reversal, profit, or a specific target.
⚠️ Limitations & Transparency
Prior-close behavior depends on market structure, volatility, liquidity, session design, and timeframe.
Different symbols may treat the previous close differently.
Very noisy markets can trigger frequent pocket interactions.
The score is a rule-based context score, not a certainty model.
🧠 Market Context Notes
The prior close often acts as a memory level.
When price reclaims it with participation, the rail may become a useful support/resistance reference.
When price repeatedly returns to it without follow-through, the rail may behave more like a magnet than a directional level.
🧾 Use Case Examples
When price opens below the prior close and later reclaims the pocket, the script marks the reclaim and scores the quality of the reaction.
When price tests the prior close from above and closes back above the pocket, the script can mark rail defense.
When price stays close to the rail without clean displacement, the panel can shift toward MONITOR instead of forcing a directional read.
🧱 System Philosophy
This script follows the AGPro Series approach: turn a familiar chart reference into a structured decision-support map.
The focus is not prediction. The focus is context, quality, invalidation awareness, and visual clarity.
🔐 Non-Promise Statement
No script can remove uncertainty from markets.
This tool does not promise accuracy, profitability, or future price movement.
Its purpose is to organize prior-close context so the user can interpret the chart more clearly.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly, and any analytical output can fail.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use the prior close as a reference, not as an automatic decision.
The best reads usually come when the rail reaction aligns with structure, liquidity, volume, and the broader market environment.
Indicator
Indicator
AlphaQuant Statistical Intelligence█ ALPHAQUANT STATISTICAL INTELLIGENCE (QSI)
Quantitative Market Quality Analysis
A quantitative market analysis tool that measures the statistical "quality" of market conditions using three core modules: Hurst Regime Engine , Shannon Entropy Flow , and Price Efficiency Ratio . These combine into a single QSI Composite Score (0-100) that rates whether current conditions are favorable for trading or not.
Free and Open Source.
█ THE CONCEPT: WHY STATISTICAL MARKET QUALITY MATTERS
Most indicators answer "which direction?" — QSI answers a different question: "Should I be trading right now?"
Markets alternate between regimes: trending, mean-reverting, chaotic, and efficient. QSI identifies these regimes in real-time so you can adapt your strategy accordingly. A trending Hurst regime favors breakout strategies. A mean-reverting regime favors fading. High entropy means the market is chaotic — reduce size. High efficiency means clean directional moves — increase conviction.
█ CORE MODULES
1. Hurst Regime Engine
Calculates the Hurst Exponent via Rescaled Range (R/S) analysis — a robust statistical method from hydrology adapted for financial markets.
H > 0.55 — Trending regime. Price has "memory" — breakout/trend-following strategies work well.
H = 0.50 — Random Walk. No statistical edge — the market is coin-flipping. Reduce size.
H < 0.45 — Mean-Reverting regime. Price has "anti-memory" — fade strategies work well.
2. Shannon Entropy Flow
Measures the information entropy of the return distribution using the Shannon Entropy formula from information theory.
High Entropy (>70) — Returns spread across many bins = chaotic, unpredictable. Reduce exposure.
Low Entropy (<30) — Returns cluster in few bins = ordered, predictable. Good for systematic strategies.
3. Price Efficiency Ratio
Measures directional efficiency by comparing net price movement to gross price movement over N bars.
High Efficiency (>30%) — Price moving cleanly in one direction. Trend-following conditions.
Low Efficiency (<10%) — Price chopping with no net progress. Avoid or use range strategies.
█ QSI COMPOSITE SCORE
The three modules combine into a single 0-100 score with fixed weights:
Hurst Edge: 40% — How strong is the regime signal?
Inverse Entropy: 35% — How ordered is the market?
Efficiency: 25% — How clean are the price moves?
Score interpretation:
> 70 — PRIME — Optimal conditions, full conviction
55-70 — FAVORABLE — Good conditions, normal sizing
40-55 — NEUTRAL — Mixed signals, proceed with caution
25-40 — CAUTION — Poor conditions, reduce size
< 25 — AVOID — Worst conditions, stay out
█ DASHBOARD
A compact, dark-themed info panel displaying:
QSI INDEX — Current composite value with regime label
HURST — Current Hurst exponent with regime classification
ENTROPY — Current entropy score with regime classification
EFFICIENCY — Current efficiency ratio with regime classification
WEIGHTS — Module weight distribution (H:40 E:35 F:25)
█ ALERTS (8 CONDITIONS)
QSI: PRIME Conditions — Composite entered prime zone (>70)
QSI: AVOID Conditions — Composite dropped to avoid zone (<25)
QSI: Conditions Improving — Composite crossed above 55
QSI: Conditions Deteriorating — Composite dropped below 40
QSI: Hurst → Trending — Hurst crossed above 0.55
QSI: Hurst → Mean-Reversion — Hurst crossed below 0.45
QSI: Entropy → Chaos — Entropy spiked above 70
QSI: Entropy → Order — Entropy dropped below 30
█ PRO VERSION
The PRO version adds:
Markov Transition Probabilities — Statistical prediction of next-bar direction
Correlation Intelligence — Auto-benchmark correlation with breakdown detection
Fractal Dimension — Higuchi fractal complexity analysis
Absorption Detection — High volume + low range = institutional activity
Trading Style Presets — Auto/Scalping/Daytrading/Swing/Position
Asset Auto-Optimization — Automatic parameter tuning per asset class
Profile-Adaptive Weighting — Dynamic composite weights based on style + asset
█ NON-REPAINTING
All calculations use confirmed bar data only. The Hurst Exponent is calculated from historical log-returns. Shannon Entropy uses a rolling window of past data. Price Efficiency uses closed bars only. No future data leakage. No repainting.
█ WORKS ON
Crypto, Forex, Stocks, Futures, Indices — any timeframe from 1 minute to Monthly.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and manage your risk. Past performance does not guarantee future results. Trading involves substantial risk of loss.
Indicator
Market Regime Classifier [EXCAVO]Four-State Probabilistic Regime Detection Using a Hidden Markov Model
The Market Regime Classifier applies a four-state Hidden Markov Model (HMM)
to classify the current market environment as Bullish, Bearish, Volatile, or Sideways.
Rather than using fixed thresholds on ADX or moving average slopes, the model maintains
and continuously updates a probability distribution across all four states on every bar,
producing smooth, low-noise regime identification.
This is not a threshold-based classifier. State probabilities update through Bayesian
forward inference, so regime transitions emerge from the data rather than arbitrary
cutoff values.
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▸ HOW TO USE
Step 1 → Add the indicator to a new pane. The confidence histogram
appears immediately, colored by the current regime.
Step 2 → Read the regime from the histogram color and the dashboard
panel. Blue = Bullish, Red = Bearish, Orange = Volatile,
Gray = Sideways.
Step 3 → Monitor the confidence level. Above 80%, the model has high
conviction. Below 60%, the market is transitioning and both
adjacent states have similar probabilities.
Step 4 → Set up alerts for regime transitions. Each state change fires
on a closed bar only, eliminating repainting.
Step 5 → Check the dashboard for individual state probabilities. When
two states have close values, the market is ambiguous - this is
visible in the dashboard before a formal regime change occurs.
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▸ HOW IT CALCULATES
◆ Data Conditioning
Each bar computes the log return: ln(close / close ). The mean and standard
deviation of log returns are calculated over the lookback period. Both are then
normalized: norm_ret = (log_ret - mean) / stdev, and norm_vol = stdev /
sma(stdev, lookback). This standardization makes the model asset-agnostic,
producing consistent behavior across equities, crypto, and forex without
requiring parameter adjustments per instrument.
◆ Gaussian Emission Likelihoods
Each of the four states has a Gaussian emission function that evaluates how
well the current normalized volatility and return match that state's expected
profile. The emission formula is exp(-(x - center)^2 / width), where x is the
normalized observation, center is the expected value for that state, and width
controls the response range:
Bullish: norm_vol = 1.1, norm_ret = +0.8 (moderate volatility, positive drift)
Bearish: norm_vol = 1.1, norm_ret = -0.8 (moderate volatility, negative drift)
Sideways: norm_vol = 0.7, norm_ret = 0.0 (low volatility, no directional bias)
Volatile: norm_vol = 1.6 x sensitivity (elevated volatility, direction-agnostic)
A state's emission is high when the current bar's profile closely matches its center
and decreases exponentially as the observation diverges.
◆ Bayesian Forward Update
The model maintains four state probabilities (p_bull, p_bear, p_side, p_vola)
initialized at 0.25 each. On every bar, unnormalized posteriors are computed:
un_state = emission(state) x (p_state x 0.9 + sum_others x 0.033). The 0.9
self-transition coefficient gives the model inertia - it stays in the current
state unless emissions consistently support a different one. The 0.033
cross-transition coefficient (approximately (1 - 0.9) / 3) keeps all states
reachable. Posteriors are then normalized to sum to 1.0. The smoothing factor
controls how aggressively each bar's emission result shifts the running
probability, acting as an exponential moving average over the posterior series.
◆ State Classification and Confidence
The active regime is the state with the highest posterior probability (argmax).
Confidence equals this maximum probability expressed as a percentage. A regime
change is detected when the dominant state changes on a confirmed (closed) bar,
which fires all alerts. The dashboard shows all four probabilities simultaneously,
making it possible to observe when the market is approaching a state boundary
before the formal regime label changes.
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▸ WHAT MAKES IT DIFFERENT
◆ Probabilistic State Engine
Most regime classifiers use fixed thresholds: if ADX > 25 then trending, otherwise
ranging. This produces abrupt, oscillating switches at the boundary and gives no
information about conviction. The HMM produces a smooth probability distribution
across all four states simultaneously, with conviction visible at every bar as
an explicit confidence percentage.
◆ Four-State Classification
Two-state models (trending vs. ranging) conflate Volatile markets with trending ones
and miss the distinction between low-activity consolidation and trend exhaustion.
Four states allow separate identification of sustained directional moves
(Bullish/Bearish), low-activity accumulation ranges (Sideways), and high-volatility
uncertainty (Volatile) - conditions that require different position sizing and
strategy selection.
◆ Adaptive Volatility Threshold
The Volatile state's emission center scales with the Volatility Sensitivity input.
This makes the model configurable across asset classes: crypto spends more time at
elevated volatility levels and may benefit from a higher sensitivity value than
equities or forex.
◆ Transition Memory (Inertia)
The self-transition coefficient (0.9) gives the model inertia - a single anomalous
bar cannot flip the regime. The classifier requires consistent evidence across
multiple bars to overcome the self-transition bias. This reduces false transitions
during brief volatility spikes or one-bar outliers.
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▸ DASHBOARD
Real-time panel showing the current model state:
Regime - active state (BULLISH / BEARISH / VOLATILE / SIDEWAYS), colored by type
Confidence - highest state probability as a percentage; highlighted orange above 80%
Bullish - current Bullish state probability
Bearish - current Bearish state probability
Volatile - current Volatile state probability
Sideways - current Sideways state probability
Norm Volatility - normalized volatility ratio; highlighted orange above 1.5 x sensitivity
Smoothing - active smoothing factor (informational)
Legend table (bottom left) explains histogram colors. Both panels toggle in Dashboard settings.
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▸ SETTINGS
HMM Engine
Statistical Lookback - 50 bars (period for log-return mean and stdev; higher = more stable but slower to adapt)
Decision Smoothing - 0.40 (exponential smoothing factor; lower = more stable, higher = more reactive)
Volatility Sensitivity - 1.2 (scales the Volatile state emission center; increase for crypto, decrease for equities)
Visualization
Bullish Color - default blue (histogram and ribbon color during Bullish regime)
Bearish Color - default red (histogram and ribbon color during Bearish regime)
Volatile Color - default orange (histogram and ribbon color during Volatile regime)
Show Regime Ribbon - OFF (colored markers at pane bottom showing regime history)
Background Highlight - ON (subtle tint matching the active regime)
Alerts
JSON Alerts - OFF (enable for bot integration via 3Commas, Wunderbit, etc.)
Dashboard
Dashboard Position - Top Right
Show Dashboard - ON
Show Legend - ON
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▸ ALERTS
Bullish Regime - dominant state changed to Bullish on bar close
Bearish Regime - dominant state changed to Bearish on bar close
Volatile Regime - dominant state changed to Volatile on bar close
Sideways Regime - dominant state changed to Sideways on bar close
Regime Change - any state transition detected on bar close
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Best regards,
EXCAVO
Disclaimer
Trading involves significant risk. This indicator is a technical analysis tool
and does not constitute financial advice, investment recommendations, or a
guarantee of future results. Past indicator behavior does not guarantee future
performance. Always use proper risk management and your own judgment.
Indicator
Volatility Cooldown Planner [AGPro Series]Volatility Cooldown Planner
🧠 Core Idea
Has volatility cooled down enough to read the chart again?
📌 Overview / What it does
Volatility Cooldown Planner is a chart-first volatility risk and readiness tool built for the period after a sharp ATR spike, wide-range candle, or large wick event.
Instead of printing another directional signal, the script asks whether the market is still unstable, cooling, ready for review, or readable again. It produces a spike box, a forward cooldown band, spike rails, unsafe volatility warnings, readiness labels, alerts, and a clean AGPro planning panel.
The script does not predict news events, identify hidden catalysts, automate decisions, or tell users what to buy or sell. Its role is to organize post-spike volatility context into a readable decision workflow.
🎯 Purpose & Design Philosophy
This script was built for traders who often face the same problem after sudden volatility: the chart is active, but not always readable.
Many tools focus on volatility expansion, squeeze release, regime classification, or breakout confirmation. Those can be useful, but they do not always answer the practical question that appears after a spike: should the trader keep reading this structure now, or wait until volatility load normalizes?
The design philosophy is simple: after unstable volatility, the first decision is not direction. The first decision is whether the chart is clean enough to evaluate.
⚡ Why This Script Is Different
Most volatility tools focus on detecting expansion, squeeze release, high ATR regimes, or dramatic candles.
This script does NOT try to detect news events, does not clone a volatility expansion planner, does not act as a stop-run model, and does not classify broad volatility cycles.
Instead, it studies the cooling process after the spike. The main output is a 0-100 Cooldown Score and a next-action state that separates UNSAFE, TOO EARLY, COOLING, READINESS REVIEW, and CHART READABLE conditions.
⚙️ Methodology
1. Spike Detection
The engine identifies spike context using ATR Load, single-bar range expansion, and dominant wick size.
2. Cooldown Mapping
When a spike appears, the script draws a spike box and a forward cooldown band. The band becomes the active review area for post-spike readability.
3. Readiness Evaluation
The model scores ATR load normalization, range contraction, time decay, close-to-close stability, and wick pressure.
4. Visual Output
The planner displays the active state through labels, rails, band color, alert conditions, and a compact AGPro panel.
🗺️ How to Read the Chart
Spike Box = the original volatility shock area.
Cooldown Band = the forward review window where the script evaluates whether volatility is becoming readable again.
Spike Rails = the upper and lower reference boundaries from the spike event. They are volatility context rails, not entry or stop instructions.
Readability Trail = an optional lightweight dot layer for users who want extra chart presence between major labels. It is disabled by default for a cleaner publication preset.
Unsafe Label = volatility has reloaded before cooldown completed.
Ready / Readable Labels = the cooldown score has reached a stronger review state.
Panel = a compact decision view showing Spike State, Cooldown Score, Volatility Load, Readiness, Action, and Best View.
🚦 Signals & States
• SPIKE → a new volatility shock has been registered.
• UNSAFE → volatility reloaded before the cooldown process became stable.
• TOO EARLY → not enough bars have passed after the spike.
• COOLING → volatility is improving, but readiness is not strong enough yet.
• READINESS REVIEW → conditions are strong enough to review the chart again.
• CHART READABLE → ATR load has normalized and the cooldown score is strong.
🔔 Alerts Logic
Volatility Spike Registered triggers when ATR load, range expansion, or wick pressure qualifies as a spike event.
Unsafe Volatility Reload triggers when volatility expands again during the active cooldown window.
Cooldown Readiness Review triggers when the cooldown score reaches the readiness threshold.
Chart Readable After Cooldown triggers when volatility load and cooldown quality both reach the strongest readable state.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest cooldown state appears when multiple conditions align:
ATR load falls toward the target area, recent ranges contract, close-to-close movement stabilizes, wick pressure fades, and enough time has passed after the spike.
When these conditions align, the chart becomes more readable under the script's rules. This does not create certainty or directional prediction.
📊 When to Use
• After sharp ATR spikes
• After wide-range candles
• After large wick events
• After fast liquidation-style movement
• During post-event stabilization
• When the chart feels too unstable to interpret cleanly
• Best visual fit: 4H charts and intraday-swing volatility review
• Daily charts can work for broader context, but they may look more sparse because fewer cooldown events appear
⚠️ When NOT to Use
• Very low-liquidity markets
• Illiquid sessions with unreliable candle structure
• Extreme news volatility where conditions keep changing quickly
• Symbols with irregular gaps or poor feed quality
• As a standalone directional entry system
🎛️ Key Inputs
• Sensitivity → controls how demanding spike detection is.
• ATR Length → normalizes spike size and label offsets.
• ATR Baseline Length → defines the local volatility baseline.
• Cooldown Review Window → controls how long the spike remains under review.
• Cooldown Target ATR Load → defines the internal volatility load target for readability.
• Readiness Score Threshold → defines when the panel can mark readiness review.
• Visual settings → control spike boxes, cooldown bands, rails, markers, and background warnings.
• Readability Trail → optional subtle chart presence during active cooldown or elevated volatility.
• Label and Panel Font Size → control chart labels and panel readability.
🖥️ Interface & Visual Design
The interface is designed to stay chart-first.
The spike box explains where the instability started. The cooldown band shows the active review window. The centered band label gives the current state without forcing the user into a lower-pane dashboard.
The default visual preset keeps the chart calmer by hiding standalone spike event labels, sparse context labels, label scores, readable-upgrade follow-up labels, and the optional readability trail. Users can enable those layers when they want a denser visual review.
The AGPro panel follows the public-release standard with one merged blue header row containing only the panel title. The remaining rows focus on decision context rather than raw data overload, including a Best View row that points users toward the 4H chart when needed.
🧪 Practical Usage Workflow
1. Read the panel Readiness and Action fields.
2. Start with a 4H chart when preparing a visual review or publication screenshot.
3. Check whether the chart is still inside an active cooldown band.
4. Watch Volatility Load and Cooldown Score.
5. Treat UNSAFE as a warning that the chart may still be unstable.
6. Treat READINESS REVIEW or CHART READABLE as a prompt to evaluate broader structure, not as an automatic trade command.
🔍 Interpretation Guidelines
A high cooldown score means volatility has normalized under the script's rule set.
It does not mean price must continue, reverse, or respect the spike rails.
The best use is as a readability filter after unstable movement. It helps the trader decide whether the market is still too hot, cooling, or clean enough to study again.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a news-event detector
• Not a volatility expansion breakout tool
• Not a stop-run or liquidity-sweep model
⚠️ Limitations & Transparency
This script uses standard PulseWire OHLCV data and ATR-based measurements.
It cannot identify the real-world cause of volatility. It cannot know whether a spike came from news, liquidation, session flow, thin liquidity, or normal order flow.
Timeframe selection, symbol liquidity, session structure, and volatility regime can affect how quickly cooldown states appear. The default preset is visually best suited to 4H charts; lower timeframes may require stricter inputs, while Daily charts may naturally show fewer events.
🧠 Market Context Notes
Volatility often becomes hardest to interpret immediately after a sharp event.
Some spikes create clean follow-through. Others create unstable noise, whipsaw, or delayed normalization.
This planner focuses on the cooling process, not the directional outcome.
🧾 Use Case Examples
When a wide candle appears and the panel shows UNSAFE, the trader can wait for volatility load to normalize before interpreting follow-through.
When a spike box remains active but the score rises into READINESS REVIEW, the trader can compare the cooldown band with broader structure, trend, liquidity, and personal execution rules.
When the panel reaches CHART READABLE, the market is no longer classified as overheated by the script, but the user still needs independent context.
🧱 System Philosophy
AGPro tools are designed to convert market structure into decision context.
This script follows that philosophy by turning post-spike volatility into a readable workflow: identify the shock, monitor the cooldown, evaluate the readiness state, and avoid treating every fast move as immediately actionable.
🔐 Non-Promise Statement
No script can remove uncertainty.
No cooldown state guarantees that the next move will be clean.
The output is a structured analytical context, not certainty.
📉 Risk Disclosure
Trading involves risk.
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 volatility behaves after spikes, how long different symbols take to normalize, and how readability changes across timeframes.
Indicator
Failed Reclaim Planner [AGPro Series]Failed Reclaim Planner
🧠 Core Idea
Did price lose a visible swing shelf, retest it, and fail to reclaim that level with enough rejection quality, risk clarity, and continuation room to matter?
📌 Overview / What it does
Failed Reclaim Planner is a chart-first failed reclaim decision engine built around visible swing shelves.
The script identifies when price breaks a confirmed swing high or swing low shelf, watches the retest of that broken level, and evaluates whether the reclaim attempt fails with enough rejection quality to become meaningful context.
It produces visible shelf zones, failed reclaim pockets, BULL / BEAR quality labels, planning room bands, risk / target guides, and a compact AGPro panel with a 0-100 failure score, rejection quality, room, and next-action state.
This script does not predict price direction or automate execution. It is designed to organize reclaim-failure context so traders can review structure, risk, and room more clearly.
🎯 Purpose & Design Philosophy
The script was built for traders who want more than another signal marker.
Most reclaim tools show whether price crossed a level. Failed Reclaim Planner focuses on the decision process after a visible shelf breaks: was the retest valid, did the reclaim fail, how strong was the rejection, where is invalidation, and is there enough room for the idea to matter?
The design supports a planning mindset: identify the broken shelf, wait for the retest, evaluate the failed reclaim, check room, and then decide whether the context deserves attention.
⚡ Why This Script Is Different
Most tools focus on fixed references such as VWAP, moving averages, prior-day levels, or broad support/resistance zones.
This script does NOT act as a generic S/R scanner, VWAP reclaim indicator, EMA reclaim map, previous-day sweep tool, or liquidity sweep engine.
Instead, it focuses on one narrow workflow: failed reclaim planning after a visible swing shelf breaks. The reference level is visible on the chart, the failure pocket is mapped, the rejection is scored, and the panel summarizes the next action.
⚙️ Methodology
1. Swing Shelf Detection
The script confirms visible swing highs and swing lows using left/right pivot structure.
2. Shelf Break Activation
When price closes beyond a confirmed shelf with enough ATR-adjusted separation, that shelf becomes an active reclaim reference.
3. Retest and Failure Evaluation
During the retest window, the script checks whether price returns into the shelf area and then rejects the reclaim. The failure score evaluates retest depth, close rejection, wick quality, volume participation, follow-through, and continuation room.
4. Planning Output
Qualified events create a scored BULL / BEAR label, a failed reclaim pocket, planning room band, invalidation guide, target-room guide, and panel state.
🗺️ How to Read the Chart
Shelf Zones = visible broken swing shelves that price may attempt to reclaim.
Failure Pockets = highlighted reclaim-failure areas where the retest rejected the broken shelf.
Planning Room Bands = projected continuation room after a qualified failed reclaim. These are planning references, not targets or promises.
Score Labels = compact BULL / BEAR labels showing the failure quality score.
Risk / Target Guides = dashed and dotted reference lines that help locate invalidation and continuation room.
Panel = the decision layer showing Reclaim State, Failure Score, Rejection Quality, Room, and Action.
🚦 Signals & States
• UP SHELF → a visible swing high was broken and is now monitored as a reclaim shelf.
• DN SHELF → a visible swing low was broken and is now monitored as a reclaim shelf.
• Bear Failure Active → bearish failed reclaim context is active after a broken shelf retest.
• Bull Failure Active → bullish failed reclaim context is active after a broken shelf retest.
• Failure Score → 0-100 quality score for the reclaim failure.
• Rejection Quality → how cleanly price rejected the reclaim attempt.
• Room → ATR-based continuation space available from the failure context.
• Action → the current planning state shown in plain language.
🔔 Alerts Logic
Alerts are available for:
• Bearish Failed Reclaim
• Bullish Failed Reclaim
• New Broken Shelf
• Shelf Recovered
Alerts are attention markers. They are not trade instructions, automation signals, or guaranteed outcomes.
🧩 Confluence Logic
The context becomes stronger when several conditions align:
• A visible swing shelf has already broken
• Price retests the broken shelf
• The reclaim attempt fails with wick and close rejection
• Participation is not weak
• There is still continuation room beyond the failed reclaim
When these elements align, the script treats the event as a stronger planning context.
📊 When to Use
• After clear swing highs or swing lows have broken
• During retests of broken structure
• In trending or transitioning markets where reclaim failure can matter
• When you want risk, invalidation, and room mapped visually
• When you prefer decision support over raw signal spam
⚠️ When NOT to Use
• Very low-liquidity charts
• Extremely noisy sideways chop
• News-driven spikes where ATR behavior becomes distorted
• Markets with poor swing structure
• Situations where you specifically need VWAP, session, or moving-average reclaim logic
🎛️ Key Inputs
• Sensitivity → adjusts how quickly the script reacts to shelf breaks and failures.
• Swing Left Bars / Swing Right Bars → define how visible swing shelves are confirmed.
• Retest Window Bars → controls how long a broken shelf remains active for reclaim evaluation.
• Minimum Failure Score → sets the quality threshold for confirmed failed reclaim events.
• Shelf Buffer ATR → controls the thickness of the reclaim shelf zone.
• Target Room ATR Multiple → controls fallback room projection when nearby structure is limited.
• Show Planning Room Band → displays the continuation room corridor after qualified failed reclaim events.
• Visual Memory Bars → controls how long historical zones, labels, and guide objects remain visible.
• Panel / Label Settings → control panel location, theme, visibility, and font size.
🖥️ Interface & Visual Design
The interface is designed to look like a planning tool, not a crowded signal overlay.
The chart carries the core story: shelf break, retest, failed reclaim pocket, score label, planning room, and risk / target references.
The panel uses the AGPro public-release standard: one merged blue header row containing only the script name. The rest of the panel summarizes the current decision state without covering the chart.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether a visible shelf is active or already failed.
3. Review the failed reclaim pocket and BULL / BEAR score label.
4. Compare the rejection quality with the planning room band.
5. Use risk / target guides as context references.
6. Interpret the output within broader market structure.
🔍 Interpretation Guidelines
A higher Failure Score means the reclaim failure is cleaner under the script's rules. It does not guarantee continuation.
Rejection Quality helps distinguish weak shelf touches from stronger failed reclaim behavior.
Room shows whether there is enough practical continuation space for the context to matter.
The Action row is the main planning summary. It is designed to guide review, not replace trader judgment.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a VWAP reclaim tool
• Not an EMA reclaim map
• Not a previous-day sweep reclaim script
• Not a generic support/resistance scanner
⚠️ Limitations & Transparency
Different timeframes can produce different shelves because swing structure changes with timeframe.
Volatility changes can affect shelf width, label spacing, and room projections.
Low-volume conditions may weaken the reliability of wick and participation components.
Sideways markets may create repeated shelf tests that require extra discretion.
🧠 Market Context Notes
Failed reclaim behavior often becomes important when price loses a visible structural shelf and cannot regain that area on the retest.
This is different from a successful reclaim, liquidity sweep, VWAP reclaim, or moving-average retest. The script is intentionally narrow so the chart remains focused on one decision workflow.
🧾 Use Case Examples
Example 1:
Price breaks below a confirmed swing low, retests that shelf from underneath, leaves rejection, and fails to reclaim. A BEAR score label appears with a failure pocket and planning room.
Example 2:
Price breaks above a confirmed swing high, retests the broken shelf, holds above it, and rejects back upward. A BULL score label appears with risk and room context.
🧱 System Philosophy
Failed Reclaim Planner follows the AGPro decision-engine approach:
Do not just show another signal.
Show the reference.
Score the failure.
Map the risk.
Map the room.
Summarize the next action.
🔐 Non-Promise Statement
No script provides certainty.
No failed reclaim guarantees continuation.
Outputs should be interpreted as structured analytical context, not as a promise of future price behavior.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, position sizing, execution, and risk management.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use this script to study how broken swing shelves behave when price attempts to reclaim them. The strongest value comes from comparing the shelf zone, failure pocket, score label, planning room, and panel state with broader market structure and your own rules.
Indicator
Market Structure Recovery Planner [AGPro Series]Market Structure Recovery Planner
🧠 Core Idea
Did damaged market structure recover with enough acceptance, risk clarity, and target room to deserve attention?
📌 Overview / What it does
Market Structure Recovery Planner is a chart-first planning tool for evaluating what happens after clean swing structure gets damaged and price attempts to repair the damaged rail.
The default design is strongest on 4H swing-structure charts, where the damage / recovery / repair-room sequence has enough space to be readable without becoming too sparse or too noisy.
The script maps a damaged structure rail, recovery pocket, risk edge, repair-room corridor, 0-100 recovery score, acceptance state, and a clear next-action panel. It does not try to predict price or automate decisions.
It is designed to make structure recovery easier to review: what broke, what was recovered, whether acceptance is building, where the plan becomes invalid, and whether enough structural room remains.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between generic structure labels and full break-retest systems.
Many tools show a BOS, CHOCH, or support/resistance touch. Market Structure Recovery Planner focuses on the recovery phase after damage: the moment where structure may be repairing but still needs proof.
It supports traders who want a decision-engine workflow instead of another raw signal marker.
⚡ Why This Script Is Different
Most tools focus on detecting a structure break or plotting broad support and resistance zones.
This script does NOT clone BOS / CHOCH scanners, Structure Retest Planner, Reclaim Breakout Planner, or generic S/R maps.
Instead, it studies damaged swing structure and asks whether the damaged rail has been recovered with acceptance, participation, risk clarity, and enough room to matter.
⚙️ Methodology
1. Context Detection
The script confirms swing structure using higher-high / higher-low or lower-high / lower-low behavior.
2. Damage Mapping
When clean structure loses its prior swing rail, the script records the damaged rail and the damage extreme.
3. Recovery Evaluation
Price must reclaim the damaged rail. The 0-100 score weighs damage depth, recovery close, acceptance hold, volume response, and room to target.
4. Visual Output
The chart shows the recovery pocket, risk edge, repair-room corridor, event labels, and a compact AG Pro panel.
🗺️ How to Read the Chart
Recovery Pocket = the area around the damaged structure rail where repair quality is evaluated.
Risk Edge = the level where the active recovery plan should be reviewed as failed or invalidated.
Repair Room = the available structural space between the recovered rail and the next room reference.
Labels = compact state markers for damage, recovery, ready state, thin room, or failed recovery.
Panel = structure state, recovery score, acceptance, risk edge, and next action.
🚦 Signals & States
• Structure Damage Detected → a clean swing structure rail has been broken.
• Structure Recovery Detected → price recovered the damaged rail.
• Recovery Planner Ready → score, acceptance, and repair room meet the configured threshold.
• Repair Room Thin → recovery exists but available room is limited.
• Recovery Failed → price crossed the active risk edge.
🔔 Alerts Logic
Alerts trigger when structure damage appears, recovery is detected, planner-ready state begins, repair room becomes thin, or the active recovery fails.
Alerts are attention markers only. They are not trade instructions and do not imply guaranteed outcomes.
🧩 Confluence Logic
The recovery context becomes stronger when structure damage is repairable, price closes back through the damaged rail, acceptance holds for several bars, volume participation improves, and room to the next structural reference remains open.
📊 When to Use
• 4H swing-structure review
• After a clean swing structure loses a key rail
• During trend repair attempts
• Around failed breakdown or failed breakout behavior
• When a trader needs risk / target / invalidation context after structural damage
⚠️ When NOT to Use
• Very low timeframes where structure damage appears too often
• Very high timeframes where recovery states can stay expired for long periods
• Extremely low-liquidity markets
• Very noisy chop where swing structure changes constantly
• Major news candles with abnormal displacement
• Markets where volume data is unreliable and structure is too compressed
🎛️ Key Inputs
• Structure Swing Length → controls how selective the swing structure model is.
• Sensitivity → adjusts damage and recovery rail strictness.
• Timely Recovery Window → controls how long a damaged rail remains relevant.
• Planner Ready Score → sets the required quality threshold.
• Panel / Label Settings → control location, theme, size, and visual density.
🖥️ Interface & Visual Design
The interface is designed around a compact premium panel and clean chart-first visuals.
The first panel row uses the AG Pro title format. Zones are restrained and centered, labels are offset away from candles, and the chart remains readable while still showing enough state markers to avoid an empty look.
🧪 Practical Usage Workflow
1. Read the panel structure state.
2. Check whether the damaged rail has a recovery pocket.
3. Review recovery score and acceptance.
4. Compare risk edge with repair room.
5. Treat the action row as a review state, not as an instruction.
🔍 Interpretation Guidelines
Think in stages: damage, recovery, acceptance, room, and failure.
A high score means the recovery context is cleaner according to the script rules. A low score means the repair is weak, late, thin, or poorly supported.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a generic BOS / CHOCH scanner
• Not a generic support / resistance zone map
⚠️ Limitations & Transparency
Swing confirmation depends on the selected timeframe and pivot length.
Volatility can widen recovery pockets and change the quality score.
Market conditions can shift quickly, especially during news, low liquidity, or abnormal volume.
🧠 Market Context Notes
Structure recovery is most useful when the trader already understands the broader trend, liquidity environment, and volatility regime.
The script gives a structured review of damaged structure, not certainty about future price movement.
🧾 Use Case Examples
When bullish structure loses a higher-low rail and later closes back above that rail with acceptance, the script can mark a bullish recovery review.
When bearish structure loses a lower-high rail and later closes back below that rail, the script can mark a bearish recovery review.
🧱 System Philosophy
Market Structure Recovery Planner follows the AGPro Series approach: clear structure, rule-based scoring, readable visuals, and decision support without outcome promises.
🔐 Non-Promise Statement
No script can guarantee market direction, trade success, or certainty.
This tool provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, risk management, and decisions.
This script does not provide financial advice.
📚 Educational Note
Use the script to study how structure damage and recovery behave across different symbols, sessions, and timeframes.
For public chart examples, 4H is the recommended default because it shows the structure-repair workflow most clearly.
Indicator
Sortino Ratio Oscillator [MarkitTick]💡 The Sortino Ratio Oscillator introduces a sophisticated, risk-adjusted performance metric typically reserved for portfolio analysis, adapting it into a highly responsive momentum oscillator. By strictly penalizing downside volatility while rewarding upside momentum, it provides a much clearer picture of market strength compared to traditional oscillators that treat all volatility equally.
✨ Originality and Utility
Standard momentum indicators measure the velocity of price movement based on general variance. However, traditional models penalize both upside and downside volatility. A massive bullish breakout creates "high volatility," which standard indicators often misinterpret as an overextended or risky market condition.
This script resolves that inherent flaw by migrating the academic Sortino Ratio into a technical trading framework. It isolates "bad" volatility (price drops) from "good" volatility (price gains). The utility here is immense: traders can identify trends where the price action is genuinely supported by positive risk-adjusted returns, filtering out noisy markets where the downside deviation is too high. Furthermore, this tool features an integrated divergence detection engine, dynamic histogram coloring, and built-in webhook alert formatting, making it a comprehensive suite for algorithmic and discretionary traders alike.
🔬 Methodology and Concepts
The core engine of this indicator relies on continuously assessing the bar-to-bar percentage return of the asset.
First, it calculates the raw percentage return between the current close and the previous close.
Next, it isolates the downside returns. If a return is positive, it is ignored for the risk calculation (treated as zero). If it is negative, it is squared to emphasize larger drawdowns, following standard variance practices.
The script then computes the Simple Moving Average of these squared negative returns over a user-defined lookback window, calculating the square root to determine the final Downside Deviation.
Simultaneously, the Simple Moving Average of the raw returns is calculated to find the mean return over the same period.
The final Sortino Ratio is produced by dividing the mean return by the downside deviation.
To smooth the output and generate actionable crossovers, a secondary Signal Line is derived by applying an average to the raw Sortino Ratio.
To enhance the analytical depth, the script incorporates a robust divergence engine that scans for pivot highs and lows over a customizable lookback window. By comparing price action pivots with the oscillator's momentum peaks and troughs, it systematically maps out both regular and hidden divergences.
🎨 Visual Guide
The visual presentation is meticulously structured to provide instant clarity on risk-adjusted momentum states.
• The Sortino Histogram
The core oscillator is plotted as a multi-colored histogram. It utilizes a four-state coloring system to indicate momentum shifts:
Solid Bull Color: The ratio is above zero and rising, indicating accelerating positive risk-adjusted returns.
Transparent Bull Color: The ratio is above zero but falling, suggesting positive momentum is decelerating.
Solid Bear Color: The ratio is below zero and falling, indicating accelerating downside risk.
Transparent Bear Color: The ratio is below zero but rising, showing that downside risk is waning.
• Signal Line and Cloud Fill
A highlighted Signal Line tracks the moving average of the Sortino Ratio. The space between the Sortino histogram and the Signal Line is filled with a dynamic cloud, helping traders easily spot shifts in immediate trend strength.
• Threshold Lines
Dashed lines represent the Overbought and Oversold thresholds. A solid gray line marks the Zero Level, acting as the primary baseline for positive versus negative risk-adjusted states.
• Divergence Mapping
Regular Bullish (RB): Displayed as a solid line connecting price lows to oscillator lows, complete with a label below the candle.
Hidden Bullish (HB): Displayed as a dashed line, indicating trend continuation.
Regular Bearish (RD): Displayed as a solid line connecting price highs to oscillator highs.
Hidden Bearish (HD): Displayed as a dashed line.
• Candle Coloring
When enabled, the price chart's candles are painted to match the four-state color logic of the Sortino Histogram, linking the oscillator's data directly to the price action on the main chart.
📖 How to Use
Traders can interpret the Sortino Ratio Oscillator through several distinct frameworks depending on their trading style.
• Zero-Line Crossovers
A baseline shift occurs when the histogram crosses the zero line. A cross into positive territory confirms that the average returns now outweigh the downside deviation, signaling a structurally sound bullish environment. Conversely, a drop below zero warns that downside volatility is dominating the asset's behavior.
• Signal Line Interactions
Watch for the histogram to cross the Signal Line. When the Sortino Ratio spikes above its signal line, momentum is expanding. When it crosses below, it often precedes a consolidation or a reversal, as highlighted by the cloud fill changing colors.
• Extremes and Reversals
The Overbought and Oversold threshold lines act as exhaustion markers. An asset sustaining a Sortino Ratio above the Overbought level is exhibiting unusually high, unpenalized upside movement. While strong, traders should watch for the histogram to peak and cross back below the Signal Line as an early warning of a pullback.
• Trading Divergences
Divergences are perhaps the most powerful signals generated by this tool. Look for Regular Bullish Divergences when the price makes a lower low, but the Sortino Ratio makes a higher low. This indicates that despite the price drop, the underlying downside volatility is shrinking relative to the mean return, hinting at a bottom. Hidden Divergences are excellent for trading pullbacks in the direction of the macro trend.
⚙️ Inputs and Settings
• Sortino Settings
Lookback Length: Defines the period used to calculate the mean return and downside deviation. A shorter length is highly reactive, while a longer length provides macroscopic trend stability.
Signal Length: Adjusts the smoothness of the Signal Line.
Overbought / Oversold Levels: Customizes the threshold lines for extreme readings.
• Candle Coloring
A simple toggle to enable or disable the dynamic coloring of the main chart price candles based on the oscillator's state.
• Divergence Settings
Enable Divergence: Master toggle for the divergence engine.
Show Regular / Hidden: Independent toggles to filter specific divergence types.
Pivot Lookback Left / Right: Determines the strictness of the pivot point detection. Higher values require more significant peaks and troughs to form a valid pivot, filtering out noise.
• Webhook Action Names
Customizable string inputs allowing algorithmic traders to map specific script events directly to JSON payloads for automated execution platforms.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The Sortino Ratio, developed by Dr. Frank A. Sortino, is a vital modification of the Sharpe Ratio. In Modern Portfolio Theory, the Sharpe Ratio evaluates the performance of an investment by adjusting for its risk, defined universally as the standard deviation of its returns. However, standard deviation measures total volatility, treating an unexpected positive gain exactly the same as a negative loss.
This oscillator resolves that mathematical paradox by isolating downside deviation. The scientific framework dictates that a minimum acceptable return—in this script's case, zero—must be established. Only returns falling strictly below this threshold are aggregated and squared to calculate the downside variance. By exclusively measuring the standard deviation of negative asset returns, the formula effectively removes the penalty for upside volatility.
In a purely academic sense, a high Sortino Ratio mathematically proves that the asset is generating its returns without suffering significant, erratic drawdowns. Translated into technical analysis, when the indicator rises, it mathematically proves that the ratio of upward momentum relative to downward variance is expanding. This makes it an incredibly robust statistical measure, completely immune to the standard look-around bias of typical mathematical oscillators that collapse under the weight of sudden, positive price shocks.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Market PressureMarket Pressure — Description & Usage
Market Pressure is a normalized oscillator designed to characterize whether buying or selling pressure is dominating the market, and how persistent that pressure is over time. It does not attempt to predict price or generate signals. Instead, it measures the consistency of directional behavior by combining where price closes within each bar, the strength of the candle body, the level of volume participation, and alignment with trend. These components are smoothed and scaled into a range between -100 and +100, allowing the user to quickly assess who is in control and how strong that control is relative to recent conditions.
Values above zero indicate net buying pressure, while values below zero indicate net selling pressure. The most important region is the neutral zone around zero, defined by the user, which represents a balanced market where neither side has clear control. When the histogram remains within this neutral range, price action is typically rotational and prone to false moves. When the indicator moves and sustains itself outside of that range, it reflects a shift toward directional control. Strong readings toward the extremes suggest persistent and coordinated pressure, often associated with trend continuation rather than random movement.
This indicator is best used as a contextual filter rather than an entry tool. When Market Pressure is positive and holding above the neutral boundary, it suggests focusing only on long opportunities and avoiding shorts. When it is negative and holding below the neutral boundary, the opposite applies. When it is inside the neutral zone, the most effective action is often to stand aside, as the market lacks a dominant participant. The behavior of the histogram also provides insight into the quality of a move. Expanding values indicate strengthening pressure, while contracting values suggest that the dominant side may be losing control.
Because the indicator is normalized using a rolling lookback window, all readings are relative to recent history rather than fixed absolute levels. This allows it to adapt across different markets and timeframes, but also means that extremes represent the strongest pressure observed within that window, not an absolute threshold. The result is a flexible tool that highlights when the market is trending with conviction, when it is losing momentum, and when conditions are best avoided altogether. Indicator
Aura Breadth Thrust Oscillator [Pineify]Aura Breadth Thrust Oscillator
Aura Breadth Thrust Oscillator measures market participation by dividing advancing issues by total advancing plus declining issues, then smoothing the ratio with a 10-period EMA. It borrows from Zweig breadth thrust analysis, but its signals are threshold crosses, not the full classic timed thrust rule.
Key Features
Requests NYSE or NASDAQ advance/decline data when available.
Uses a rolling price-action proxy when breadth symbols are unavailable.
Shows a gradient oscillator, zones, markers, alerts, and source table.
How It Works
For NYSE, the script requests NYSE: USI:ADV and NYSE:$DEC. For NASDAQ, it requests NASDAQ: INDEX:ADVQ and NASDAQ:$DECQ. It builds a breadth ratio from 0 to 100, then applies a 10-period EMA.
Advancing issues are compared with total advancing plus declining issues.
The smoothed ratio becomes the Aura Breadth oscillator.
Crosses above 61.5 mark bullish participation. Crosses below 40 mark breadth weakness.
If external breadth is missing, proxy mode counts up candles as advancing and down candles as declining. Proxy readings are useful context, but they are not exchange-wide breadth.
How the Components Work Together
The ratio supplies participation context, the EMA filters noise, and the thresholds define zones. The table matters because external signals describe broad participation, while proxy signals only describe the current chart.
Trading Ideas and Insights
A cross above 61.5 may be useful after a weak range, especially if price is reclaiming structure.
A move below 40 may show selling pressure or exhaustion; waiting for stabilization can reduce whipsaw risk.
If price rises while breadth fails near the midline, participation may be narrowing.
This is a context tool, not a complete system. Breadth can lag during fast reversals, and proxy mode is approximate.
Unique Aspects
External breadth is preferred automatically, with proxy mode used only when feeds are invalid.
The active data source is shown directly in the pane.
How to Use
Choose NYSE or NASDAQ, then check the table's active source.
Watch crosses around 61.5 and 40, using 50 as a midpoint.
Use the built-in alerts for bullish thrust or breadth breakdown crosses.
Customization
Market Data Exchange (default: NYSE) - Selects the breadth universe.
Proxy Lookback Period (default: 20) - Higher values smooth proxy mode.
Bullish Thrust Level (default: 61.5) - Adjusts the bullish threshold.
Oversold Level (default: 40.0) - Adjusts the weakness threshold.
Conclusion
Aura Breadth Thrust Oscillator gives a compact read on participation behind index moves, breakouts, and reversals. Read each signal with the active data source. Indicator
Weekly Open Reaction Map [AGPro Series]Weekly Open Reaction Map
🔹 OVERVIEW
Weekly Open Reaction Map is a focused weekly open overlay built for traders who use the current weekly open as a higher-timeframe anchor.
The weekly open is one of the simplest and most widely watched reference levels on a chart. Many traders mark it manually, but a plain horizontal line does not show whether price is accepting above it, losing it, reclaiming it, or repeatedly reacting through the same area. This script turns the weekly open into a structured reaction map.
The script plots the current weekly open, builds an adaptive reaction band around it, detects accepted behavior above or below the level, marks selective reclaim and loss events, and summarizes the active state in a compact dashboard.
The goal is clarity:
How is price reacting around the current weekly open?
This is not a broad level engine. It is not a full weekly range dashboard. It is not a prior high or prior low tool. It is not a session-open model. It is a single-anchor weekly open reaction framework designed to keep the chart clean while adding practical context.
🔹 WHAT MAKES IT DIFFERENT
Weekly Open Reaction Map is built around one level only: the current weekly open.
Instead of plotting a large set of reference prices, the script focuses all of its logic on the active weekly open and asks whether price is above it, below it, reclaiming it, losing it, or still testing the reaction area.
Key differentiators:
• Single-anchor design centered only on the current weekly open
• Adaptive reaction band instead of a fragile one-tick line
• Acceptance-side model using sustained closes beyond the band
• Reclaim and loss labels designed to stay selective by default
• Concept-native rectangular reaction zones around confirmed weekly open behavior
• Compact panel showing distance, acceptance side, active-week reaction count, weekly bias, and last event
• Cleaner default visual mode tuned for 1H, 4H, and 1D public-chart presentation
• Optional initial acceptance events for users who want more context
The script is intentionally restrained. It does not try to become a full market structure suite. Its value comes from making one simple, popular, and highly searchable level more readable.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script was designed to stay separate from existing AGPro public concepts.
It does not overlap with Daily Open Acceptance Map because this script does not reset around the daily open. The weekly open carries context across several trading days, so the logic is built around a multi-day weekly anchor rather than an intraday daily reference.
It does not overlap with Reference Price Operating Map because this script does not compare multiple reference prices. There is no multi-reference framework here. The weekly open is the only operating level.
It does not overlap with Session Reaction Map because this script does not evaluate Asia, London, New York, or session-start behavior. It continuously follows the active week and reads how price behaves around the weekly open over time.
It does not overlap with PDH PDL PWH PWL Engine because this script does not plot previous day highs, previous day lows, previous week highs, previous week lows, or active range corridors. It avoids becoming a prior-period high/low engine.
It does not overlap with generic support and resistance scripts because its boxes are not derived from swing pivots, historical ranges, or broad supply-demand zones. The reaction zones exist only when weekly open behavior is confirmed.
The scope is narrow by design:
Current weekly open.
Acceptance.
Reclaim.
Loss.
Reaction zones.
Weekly bias.
⚙️ METHODOLOGY
The script reads the current weekly open from the weekly timeframe and projects it onto the active chart.
Around that weekly open, it builds a reaction band. This prevents the script from treating the weekly open as an unrealistically perfect single price. The band can be sized by:
• ATR for volatility-adjusted behavior
• Percent for proportional market structure
• Ticks for fixed instrument precision
The acceptance model checks whether price can sustain closes beyond the reaction band. A single close is not enough by default. The user can define how many consecutive closes are required before the script recognizes accepted behavior.
The engine then tracks which side of the weekly open has been established during the active week.
A weekly open reclaim is detected when price had already traded below the weekly open context and then confirms acceptance back above the level after a recent band interaction.
A weekly open loss is detected when price had already traded above the weekly open context and then confirms acceptance below the level after a recent band interaction.
Optional initial acceptance events can also be enabled. These show which side of the weekly open became dominant first after a new week begins. They are disabled by default so the public chart remains cleaner and more focused on reclaim/loss transitions.
Confirmed events can create rectangular reaction zones. These zones preserve the weekly open area where the reaction was confirmed and project it forward for context. They are concept-native zones, not generic support/resistance boxes.
📊 PANEL
The panel gives a fast read of the active weekly open condition.
Distance
Shows how far current price is from the weekly open, including a percent reading.
Acceptance Side
Shows whether price is accepted above the weekly open, accepted below it, or still testing the weekly open band.
Reaction Count
Counts confirmed weekly open reactions for the active week. The panel uses active-week logic, while visual label limits keep historical charts clean.
Weekly Bias
Summarizes the current weekly open state as Bullish Control, Bearish Control, or Neutral Test.
Last Event
Shows the latest confirmed weekly open event, such as WO Reclaim, WO Loss, WO Accept +, or WO Accept -.
The panel includes adjustable location, theme, and font size controls. The first panel row follows the AGPro standard: a single merged blue header row containing only the script name.
🎛️ KEY INPUTS
Show Weekly Open Line
Controls whether the current weekly open line is displayed.
Weekly Open Line Width
Controls the visual weight of the weekly open reference line.
Reaction Band Width Mode
Choose ATR, Percent, or Ticks to define the width of the weekly open reaction area.
ATR Width Multiplier
Controls volatility-adjusted band width when ATR mode is selected.
Percent Width
Controls proportional band width when Percent mode is selected.
Tick Width
Controls fixed band width when Ticks mode is selected.
Acceptance Confirmation Bars
Defines how many consecutive closes are required before price is treated as accepted above or below the weekly open band.
Recent Touch Window
Requires confirmed events to occur near a recent weekly open band interaction.
Show Active Weekly Open Band
Displays the live weekly open reaction corridor.
Show Confirmed Reaction Zones
Draws extended boxes around confirmed weekly open reclaim, loss, or optional initial acceptance behavior.
Reaction Zone Extension Bars
Controls how far confirmed weekly open reaction zones project forward.
Maximum Reaction Zones
Limits the number of historical zones shown on the chart.
Show Reclaim / Loss Labels
Displays selective weekly open reclaim and loss labels.
Show Initial Acceptance Events
Allows first-side weekly open acceptance events to create labels and zones. Disabled by default for a cleaner public view.
Minimum Bars Between Labels
Controls cross-week spacing between event labels, helping avoid historical label clusters.
Maximum Event Labels
Limits visible historical event labels for a cleaner chart.
Label Offset ATR
Moves labels away from candles so they stay readable.
Label Font Size
Controls event label size. Normal is the default.
Panel Location
Moves the dashboard to the preferred chart location.
Panel Theme
Selects Dark, Light, or Auto panel styling.
Panel Font Size
Controls dashboard text size. Normal is the default.
🔍 HOW TO READ IT
Start with the weekly open line.
If price is above the line and the panel shows Above WO, the market is currently accepting above the weekly open band.
If price is below the line and the panel shows Below WO, the market is currently accepting below the weekly open band.
If the panel shows Testing WO, price is still close enough to the reaction band that the weekly open has not resolved clearly.
WO Reclaim
This label means price previously moved below the weekly open context and later confirmed acceptance back above it.
WO Loss
This label means price previously held above the weekly open context and later confirmed acceptance below it.
Reaction Zones
These boxes highlight the weekly open area where a confirmed reaction occurred. They can act as visual memory zones for later retests, pauses, or renewed pressure around the same weekly anchor.
Weekly Bias
The bias reading is not a standalone trade call. It is a context label that tells whether the active week is currently being controlled above the weekly open, below the weekly open, or still near the test area.
Reaction Count
This helps identify whether the week has been clean and directional or has already produced several confirmed weekly open reactions.
🧩 BEST USE CASES
Weekly open context
Use the script to understand whether the active week is being accepted above or below its opening level.
Reclaim tracking
Use WO Reclaim labels to identify when price regains the weekly open after trading below it.
Loss tracking
Use WO Loss labels to identify when price gives up the weekly open after previously holding above it.
Multi-timeframe planning
Use the weekly open as a higher-timeframe anchor while viewing 1H, 4H, or 1D charts.
Clean chart workflow
Use the script when you want one important weekly reference instead of a crowded stack of levels.
Reaction-zone review
Use projected boxes to remember where meaningful weekly open reactions were confirmed.
Public chart publishing
Use the default settings for cleaner PulseWire screenshots and a more premium chart layout.
🧠 VISUAL DESIGN PHILOSOPHY
The design philosophy is premium restraint.
The weekly open should be easy to identify, but it should not dominate the chart. Labels should be useful, but not constant. Zones should preserve meaningful reaction areas, but not turn the screen into a grid of boxes.
The default settings are intentionally cleaner:
• Initial acceptance events are off by default
• Reclaim and loss behavior remains the primary visible story
• Label spacing works across weeks, not only inside one week
• Historical label and zone limits are conservative
• The panel uses a compact AGPro dashboard style
• The active weekly open band is visible without overwhelming candles
This helps the script remain practical on 1H, 4H, and 1D views while still giving the chart enough structure to feel complete.
🔔 ALERTS
The script includes alert conditions for key weekly open events:
Weekly Open Reclaim
Triggers when price confirms a reclaim of the weekly open after previously trading below the weekly open context.
Weekly Open Loss
Triggers when price confirms a loss of the weekly open after previously trading above the weekly open context.
Weekly Open Accepted Above
Triggers when price confirms acceptance above the weekly open band.
Weekly Open Accepted Below
Triggers when price confirms acceptance below the weekly open band.
These alerts are designed for context awareness around the weekly open. They are not intended to replace a complete trading plan or broader market review.
🔹 LIMITATIONS AND TRANSPARENCY
Weekly Open Reaction Map is intentionally focused on one reference level. It does not attempt to map every support/resistance area on the chart.
The script does not include previous day highs, previous day lows, previous week highs, previous week lows, session opens, daily opens, volume profile levels, swing pivots, or order-flow data.
Because the weekly open can behave differently across assets and timeframes, users may need to adjust the reaction band width, confirmation bars, and label spacing for their market.
On very low timeframes, labels can appear more frequently if sensitivity is increased. On higher timeframes, fewer but more meaningful events are expected.
The weekly bias panel is a context tool. It describes the current relationship between price and the weekly open; it does not predict future price movement.
The script is built to stay clean, transparent, and focused. Its strength is not feature volume. Its strength is making one widely used weekly reference level easier to read.
✅ IDEAL USER
This script is ideal for traders who:
• Use the weekly open as a key higher-timeframe reference
• Want a cleaner way to read weekly open acceptance, reclaim, and loss
• Prefer focused tools over crowded multi-level dashboards
• Trade crypto, forex, indices, or liquid stocks where the weekly open is actively watched
• Use 1H, 4H, or 1D charts for market context
• Want reaction zones without turning the chart into a generic support/resistance map
• Publish or review PulseWire charts and need a clean visual presentation
• Prefer structured context over excessive labels and visual noise
Weekly Open Reaction Map is built for traders who want the weekly open to become more than a line. It turns that level into a readable acceptance and reaction framework while keeping the chart professional, restrained, and publication-ready. Indicator
1-2-3 Reversal Map [AGPro Series]1-2-3 Reversal Map
🔹 OVERVIEW
1-2-3 Reversal Map is a focused PulseWire overlay built for traders who want a clean, structured way to follow one of the most recognizable reversal formations in price action: the confirmed 1-2-3 reversal.
This tool maps the full life cycle of a 1-2-3 structure. It identifies the confirmed swing sequence, marks Point 1, Point 2, and Point 3, projects the neckline from Point 2, evaluates the neckline break, and highlights the retest pocket after confirmation. The goal is not to fill the chart with generic reversal signals. The goal is to make the actual 1-2-3 process easier to see, compare, and track.
The script is designed around visual clarity. The latest active structure stays readable through numbered swing labels, restrained guide lines, a clearly identified neckline, and a concept-specific retest pocket. The panel then summarizes the current stage, neckline status, retest status, and reversal score in a compact AG Pro layout.
🔹 WHAT MAKES IT DIFFERENT
Most reversal tools try to do too many things at once. They mix candle patterns, double tops, double bottoms, head and shoulders structures, failed breakouts, generic support and resistance zones, trend filters, and broad reversal markers into one crowded chart.
1-2-3 Reversal Map takes a more disciplined approach. It stays inside one lane: the confirmed 1-2-3 reversal sequence.
The script does not mark every possible turning point. It waits for a defined swing chain:
1. Point 1 establishes the original swing extreme.
2. Point 2 forms the neckline reference.
3. Point 3 confirms that price has created a structurally relevant retracement.
4. The neckline break turns the structure from a setup into a confirmed map.
5. The retest pocket shows where the broken neckline can be evaluated again.
This creates a cleaner workflow than broad reversal scanners. Instead of asking the chart to show everything, the script asks one focused question: has a valid 1-2-3 structure progressed from swing formation to neckline break and retest behavior?
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script was intentionally built to avoid overlapping with other AGPro public tools.
It is not a broad reversal pattern scanner. It does not combine double top, double bottom, head and shoulders, inverse head and shoulders, wedge, or candle-pattern logic. It focuses only on the 1-2-3 reversal sequence.
It is not a Turtle Soup or failed-breakout tool. It does not begin with a failed range break or liquidity sweep. Its starting point is a confirmed three-point swing structure.
It is not a wedge reversal tool. It does not evaluate converging trendlines, compression geometry, or wedge breakout behavior.
It is not a generic support and resistance map. The rectangle is not a general zone engine. It is a neckline retest pocket that appears only after a valid 1-2-3 neckline break.
It is not a breakout dashboard. Breakout logic exists only as one stage inside the 1-2-3 reversal process.
This makes the script narrow enough for a differentiated AGPro release while still being visually useful and searchable for traders who specifically look for 1-2-3 reversal structure, neckline break, and retest confirmation workflows.
⚙️ METHODOLOGY
The script uses confirmed pivot structure to define each 1-2-3 sequence.
For a bullish 1-2-3 structure:
- Point 1 is a confirmed swing low.
- Point 2 is the recovery swing high and neckline reference.
- Point 3 is a higher low that holds above Point 1.
- The neckline break requires price to close beyond Point 2 with a configurable ATR buffer.
- The retest pocket is projected around the broken neckline after confirmation.
For a bearish 1-2-3 structure:
- Point 1 is a confirmed swing high.
- Point 2 is the reaction swing low and neckline reference.
- Point 3 is a lower high that holds below Point 1.
- The neckline break requires price to close beyond Point 2 with a configurable ATR buffer.
- The retest pocket is projected around the broken neckline after confirmation.
The reversal score is structure-native. It evaluates:
- P1-P2 leg size relative to ATR
- Point 3 hold quality
- P3 retracement balance
- Timing symmetry between structure legs
- Break distance beyond the neckline
- Break candle body quality
- Close location inside the break candle
- Optional volume participation
The score is not designed as a prediction model. It is a ranking layer for comparing the quality of structures that meet the script's own rules.
📊 PANEL
The AG Pro panel is built to keep the structure status readable without forcing the user to interpret every chart object manually.
Panel rows:
- Stage: shows whether the structure is waiting, armed, broken, retested, expired, or invalidated.
- Neckline Break: shows whether the neckline has been confirmed.
- Retest: shows whether the retest pocket is inactive, being watched, or held.
- Reversal Score: shows the current 0-100 score and quality grade.
The panel uses the AGPro standard format:
- One merged blue header row
- Only the script name in the first row
- Adjustable panel location
- Adjustable panel theme
- Adjustable panel font size
🎛️ KEY INPUTS
Pivot Left Bars / Pivot Right Bars:
Controls how mature the swing points must be before the 1-2-3 structure can form. Higher values create fewer and cleaner structures. Lower values make the script more responsive.
Minimum P1-P2 Leg ATR:
Filters out small structures by requiring a minimum distance between Point 1 and Point 2.
Minimum Point 3 Hold ATR:
Defines how much Point 3 must hold relative to Point 1. This helps separate valid structural retracements from weak retests of the original extreme.
Minimum / Maximum P3 Retracement:
Controls the acceptable retracement range for Point 3. This prevents both shallow noise and near-failed structures from being accepted too easily.
Neckline Break Buffer ATR:
Adds a configurable buffer beyond the neckline before the break is accepted.
Retest Pocket Width ATR:
Controls the height of the retest pocket around the broken neckline.
Retest Pocket Projection Bars:
Controls how far the pocket is projected forward.
Show Context Tags:
Adds compact labels such as Neckline and Retest Pocket so the visual elements are easier to identify.
Show Recent Structure Traces:
Keeps a small rolling set of recent structure lines and pockets while keeping numbered swing labels focused on the latest active setup.
Label Font Size:
Controls all chart labels, including swing numbers, context tags, and optional event labels.
Panel Font Size:
Controls the AG Pro panel text size separately from chart labels.
🔍 HOW TO READ IT
Start with the numbered swing labels.
Point 1 marks the original structural extreme. Point 2 marks the neckline reference. Point 3 marks the retracement that must hold for the 1-2-3 structure to remain valid.
Next, watch the neckline.
The neckline is the main confirmation level. Before it breaks, the panel shows the structure as armed or waiting. After it breaks, the structure becomes a confirmed 1-2-3 map.
Then watch the retest pocket.
The retest pocket appears around the broken neckline after confirmation. This is the script's key context zone. It helps the user observe whether price can return to the neckline area and hold the structure instead of treating every move after the break as equally important.
Finally, use the panel score as a quality filter.
A high score means the structure has stronger internal balance according to the script's rules. A lower score means the 1-2-3 sequence may still exist, but its structure quality is weaker.
🧩 BEST USE CASES
This script is best suited for:
- Traders who use classic 1-2-3 reversal logic
- Swing traders who want confirmed pivot structure
- Price-action traders who track neckline breaks
- Traders who prefer breakout-retest workflows
- Users who want fewer, clearer chart objects instead of broad reversal scanners
- Multi-timeframe chart review where structure clarity matters
- Public chart sharing where visual cleanliness is important
It can be useful on crypto, forex, indices, equities, and commodities, especially on charts where swing structure and neckline behavior are visually meaningful.
🧠 VISUAL DESIGN PHILOSOPHY
The design goal is clarity through restraint.
The script avoids a crowded signal-board style. It uses numbered labels only for the current active swing structure. It separates the neckline from the retest pocket with distinct visual language. Recent traces are kept limited and softened so they provide context without dominating the chart.
The active neckline is drawn with a stronger accent color. The retest pocket is shown as a clean rectangle around the broken neckline. Structure legs are dotted and restrained, helping the user understand the geometry without overpowering price.
The chart should feel premium, readable, and publication-ready. The indicator is built to support a clean PulseWire screenshot rather than create visual noise.
🔔 ALERTS
The script includes alerts for the main 1-2-3 lifecycle events:
- 1-2-3 structure armed
- Bullish 1-2-3 neckline break
- Bearish 1-2-3 neckline break
- 1-2-3 retest pocket held
- 1-2-3 structure invalidated
These alerts are designed around structure progression, not generic reversal marking.
🔹 LIMITATIONS AND TRANSPARENCY
The script uses confirmed pivots, which means swing points appear only after the required right-side confirmation bars. This is intentional. It prioritizes confirmed structure over instant but unstable markings.
The script does not attempt to identify every possible reversal pattern. It does not evaluate macro trend, fundamentals, order flow, news, or external liquidity conditions.
The reversal score is a structured quality model, not a certainty model. It helps compare 1-2-3 structures inside this script's framework, but it does not forecast outcomes.
Retest pockets are contextual areas around the broken neckline. They are not universal support or resistance zones, and they are not designed to replace broader market analysis.
✅ IDEAL USER
This script is ideal for traders who:
- Understand classic 1-2-3 reversal structure
- Prefer confirmed market structure over early noise
- Want a clean neckline and retest workflow
- Value visual clarity and chart discipline
- Use PulseWire for structured price-action review
- Want a focused public-free AGPro tool that does one concept well
1-2-3 Reversal Map is built for users who want a focused reversal map, not a crowded reversal scanner.
🔹 RELEASE NOTES
- Initial public release of 1-2-3 Reversal Map .
- Added confirmed Point 1, Point 2, and Point 3 swing mapping.
- Added neckline projection with close-based break confirmation.
- Added breakout retest pocket around the broken neckline.
- Added context tags for Neckline and Retest Pocket.
- Added AG Pro panel with Stage, Neckline Break, Retest, and Reversal Score.
- Added adjustable panel location, panel theme, label size, and panel font size.
- Added recent structure traces with softened historical visuals.
- Added alerts for armed structures, neckline breaks, retest holds, and invalidations. Indicator
ABCD Projection Zones [AGPro Series]ABCD Projection Zones
🔹 OVERVIEW
ABCD Projection Zones is a premium price-action projection tool built for traders who want a clean ABCD pattern map without turning the chart into a full harmonic scanner, Auto Fib suite, retracement dashboard, or broad pattern-recognition system.
The script focuses on one specific market-structure idea: a confirmed A-B-C swing sequence can project a forward D completion area when the A-B leg is measured from point C. Instead of plotting a single thin target line, the script converts that measured move into a practical projected completion zone. This makes the result easier to read on real charts where reactions often happen around an area rather than at one exact tick.
The tool detects the structure, measures the leg relationship, projects the completion zone, tracks the distance to that zone, and then follows the reaction lifecycle after price reaches it. The goal is a premium, readable ABCD projection workflow that helps traders understand where the current structure is, how mature it is, and how price is behaving around the projected completion area.
🔹 WHAT MAKES IT DIFFERENT
Many ABCD, projection, and pattern tools try to do too much at once. They combine multiple Fibonacci ratios, harmonic pattern names, extended target ladders, retracement grids, reversal labels, and broad pattern scanning into one chart overlay. That can look busy, but it often makes the active structure harder to understand.
ABCD Projection Zones takes a narrower and cleaner route.
It does not attempt to label every harmonic family.
It does not expose a full Fibonacci framework.
It does not place several competing projection targets on the chart.
It does not turn the layout into a generic support and resistance map.
The difference is the focused lane: confirmed ABCD swing projection, one projected completion zone, one reaction lifecycle, and a concise panel that explains the active setup.
The visual language is also different. The D area is shown as a forward rectangle with centered zone text inside the box. Active and archived zones stay named, labels use consistent sizing, and archived context remains muted so the active projection remains dominant.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script is intentionally separated from other AGPro tools by scope, visual behavior, and analytical purpose.
It is not an Auto Fib Structure tool. It does not publish multiple retracement and extension levels, does not expose a full Fib grid, and does not present itself as a broad Fibonacci framework.
It is not a harmonic scanner. It does not label Gartley, Bat, Butterfly, Crab, Shark, or other harmonic families. It does not rank multiple harmonic candidates or compare pattern families.
It is not a generic support and resistance zone script. The rectangles are not general S/R zones. They are specifically ABCD completion and reaction zones derived from swing-leg symmetry.
It is not a trend dashboard, volatility map, liquidity sweep scanner, or broad price-action suite. Its job is only to map a confirmed A-B-C structure into a projected D completion zone and monitor the reaction state around that zone.
This makes the public release lane clear: a focused ABCD projection and reaction-zone tool for measured-move structure, not a duplicate of existing AGPro zone, Fib, S/R, harmonic, or dashboard concepts.
⚙️ METHODOLOGY
The script starts by detecting confirmed swing highs and lows using pivot-based structure logic. This gives the model cleaner A, B, and C points and helps reduce random candle noise.
After the A-B-C sequence is confirmed, the script measures the A-B leg and the B-C pullback. The B-C pullback is evaluated as a ratio of A-B, but this ratio is used as a structure-quality filter, not as a visible Fibonacci grid.
The projected D area is calculated by applying the A-B leg from point C. This creates an AB=CD style measured-move projection. The projected D price is then expanded into a rectangle using ATR-based padding so the completion area behaves like a practical reaction zone rather than a thin target.
The script then tracks the active projection lifecycle:
- Waiting: price has not yet approached the projected zone.
- Approaching: price is close enough to the zone to matter.
- Completed: price has reached the projected D area.
- Reacting: price is moving away from the zone after contact.
- Overrun: price has moved beyond the zone buffer.
- Expired: the projection window passed without completion.
The scoring model combines impulse quality, pullback quality, and structural alignment into a 0-100 score. This score is not a standalone signal; it is a compact way to summarize the quality of the active ABCD projection structure.
📊 PANEL
The AGPro panel is designed for quick chart reading without forcing the trader to inspect every object manually.
Panel fields:
- Leg Ratio: shows the B-C pullback size relative to A-B.
- Completion Distance: shows the current distance to the projected D zone in price and ATR terms.
- Reaction State: shows the active lifecycle state of the projection.
- Symmetry Quality: classifies the active setup as Weak, Developing, Clean, or Strong with directional context.
- Projection Progress: shows how far price has traveled from point C toward the projected D area.
- Score: summarizes the active setup quality from 0 to 100.
Panel standards:
- The first row is one merged blue AGPro header row.
- The header contains only the panel title.
- Panel location is adjustable.
- Panel theme is adjustable.
- Panel font size is adjustable.
🎛️ KEY INPUTS
Detection:
- Swing Left Strength
- Swing Right Strength
- ATR Length
- Minimum AB Leg Size ATR
- Minimum BC Pullback Ratio
- Maximum BC Pullback Ratio
Projection Zone:
- Projection Length Bars
- Zone Padding ATR
- Approach Distance ATR
- Overrun Buffer ATR
- Zone Fill Transparency
- Archived Zones
- Archived Zone Transparency
- Show Text Inside Zones
Visuals:
- Show ABCD Path
- Show ABCD Labels
- Show Completion Marker
- Label Font Size
- Label Offset ATR
- Completion Marker Offset Bars
Panel:
- Show Panel
- Panel Location
- Panel Theme
- Panel Font Size
🔍 HOW TO READ IT
Start with the A-B-C labels. Point A and point B define the impulse leg. Point C defines the pullback from which the measured-move projection begins.
The dotted projected path shows the C-D measured move. The forward rectangle marks the projected completion zone. If price is still far from that rectangle, the panel will usually show Waiting and a lower Projection Progress value.
As price moves toward the rectangle, Projection Progress increases and the Completion Distance decreases. When price reaches the zone, the script marks D Hit and changes the lifecycle state. After that, the most important reading is whether the zone becomes a Reaction Zone or an Overrun Zone.
Archived zones should be read as context, not as the main decision layer. They show previous projected reaction areas in a muted style so the chart does not feel empty, but the active zone remains the priority.
🧩 BEST USE CASES
This script is best suited for traders who study market structure, measured moves, swing projection, ABCD patterns, and reaction-zone behavior.
Strong use cases include:
- Mapping a clean ABCD completion area after a confirmed A-B-C structure.
- Tracking how close price is to a projected D area.
- Separating developing projections from completed projections.
- Watching for reaction behavior after price reaches a projected completion zone.
- Reviewing recent projected zones without overcrowding the chart.
- Keeping a clean price-action workflow without a full harmonic or Fib suite.
The script can be useful across different markets and timeframes, but it is most readable when swing structure is clear enough for pivot-based detection to identify meaningful A-B-C sequences.
🧠 VISUAL DESIGN PHILOSOPHY
The visual design is built around premium restraint.
The chart should not be empty, but it should also not be overloaded. The active ABCD projection needs to stand out clearly, while archived zones should provide background context without taking attention away from the current structure.
Visual standards used in this script:
- Active completion and reaction zones are drawn as forward rectangles.
- Zone text is written inside the rectangle.
- Zone text is horizontally and vertically centered.
- Zone text uses transparent label-center styling instead of extra external tags.
- Active and archived zone text uses the same label font-size control.
- Swing labels are offset with ATR so they do not sit inside candle bodies.
- The completion marker is compact and shifted away from nearby swing labels.
- The projected C-D path is visible but not visually dominant.
- Archived zones are muted to keep the active projection clean.
The result is a chart that communicates structure, projection, and reaction state without looking like a crowded signal board.
🔔 ALERTS
Included alert conditions:
- New ABCD Projection Zone: triggers when a new qualified ABCD projection is detected.
- ABCD Completion Reached: triggers when price reaches the active projected completion zone.
- ABCD Reaction Confirmed: triggers when price reacts away from the active completion zone.
- ABCD Zone Overrun: triggers when price moves beyond the configured zone buffer.
🔹 LIMITATIONS AND TRANSPARENCY
The script waits for confirmed pivot structure, so A, B, and C labels appear after swing confirmation rather than at the exact live turning point.
The projected D area is based on AB=CD symmetry and ATR-based zone padding. It is designed to map structure and reaction context, not to predict every reversal.
The script intentionally avoids a full harmonic library and full Fibonacci framework. This is a design choice, not a missing feature. The goal is to keep the public tool focused on ABCD projection zones.
During choppy or low-structure conditions, fewer clean setups may appear. Increasing or decreasing swing strength and leg-size filters can make the tool more selective or more responsive depending on the market and timeframe.
✅ IDEAL USER
This script is designed for traders who prefer clean structure tools over crowded all-in-one indicators.
The ideal user:
- Studies price action and swing structure.
- Wants a focused ABCD projection tool.
- Prefers zones over single-line targets.
- Wants reaction-state context after completion.
- Values clean chart presentation.
- Wants adjustable labels, panel location, and visual density.
- Does not want a full harmonic scanner or public Auto Fib suite.
ABCD Projection Zones is built for traders who want one clean projected completion lane: A-B-C structure, measured D zone, reaction state, and a premium AGPro visual presentation. Indicator
Wedge Reversal Detector [AGPro Series]Wedge Reversal Detector
🔷 Overview
Wedge Reversal Detector is a focused chart-pattern engine built for one specific structure: the rising wedge and falling wedge. Instead of scanning every possible reversal pattern, drawing broad support and resistance, or behaving like a generic breakout dashboard, this script studies the geometry of a wedge itself: confirmed pivot boundaries, slope convergence, pattern maturity, reversal break quality, projected reaction zone, and invalidation context.
The goal is to make wedge analysis cleaner and more objective on a live chart. A valid wedge is not treated as just two random trendlines. The script requires a confirmed pivot structure, a meaningful initial width, a narrowing final width, and the correct slope relationship for either a rising wedge or a falling wedge. Once a qualified structure is active, it draws the converging boundaries directly on the chart and waits for a reversal-side break.
The detector also includes two visual preparation layers. The developing-wedge preview layer can draw dashed boundaries before the structure is fully armed. The Wedge Radar layer keeps the latest compression window visible when no confirmed candidate is active. Radar projection is capped so higher-timeframe charts stay clean, and low-compression radar states can remain boundary-only until the structure becomes visually meaningful. Break labels, reaction zones, and invalidation guides remain reserved for stricter confirmed candidates. This keeps the chart visually informative without weakening the actual confirmation logic.
The visual layer includes compact boundary tags that label the upper and lower rails directly on the right side of the structure. These tags are designed as chart annotations, not signal spam: they identify whether the rail is acting as a rejection rail, compression rail, reclaim rail, break rail, or invalidation rail. A single optional compression tag can also summarize the current radar or wedge state.
🔶 Why This Is Different
Many wedge indicators stop at pattern drawing. Others become broad pattern scanners that mix wedges with channels, double tops, double bottoms, triangles, support and resistance zones, and unrelated reversal signals. Wedge Reversal Detector intentionally stays narrower.
Its edge is the sequence:
1. Detect a qualified rising or falling wedge from confirmed pivots.
2. Measure whether the boundaries are genuinely converging.
3. Grade wedge maturity before any break occurs.
4. Confirm the reversal-side break with an optional close-based rule and ATR buffer.
5. Score break quality using maturity, boundary expansion, candle structure, close location, and volume participation.
6. Project a concept-native reaction zone from the wedge width.
7. Display a clean invalidation guide so the structure remains readable after the break.
This makes the script a wedge lifecycle tool, not a general reversal scanner.
💎 Unique Edge
The most important difference is that the script treats a wedge as a living geometric compression structure. It does not simply connect the latest two highs and lows and call the pattern complete. A candidate must pass span, width, convergence, and slope requirements before it becomes active.
For rising wedges, the script looks for rising pivot highs and rising pivot lows where the lower boundary is climbing faster than the upper boundary. This creates upward compression, which is the core geometry behind a rising wedge. For falling wedges, it looks for falling pivot highs and falling pivot lows where the upper boundary is falling faster than the lower boundary. This creates downward compression, which is the core geometry behind a falling wedge.
That difference matters because many weak wedge tools confuse ordinary channels with wedge compression. This script separates those structures by requiring the final width to be materially smaller than the starting width.
🔹 Methodology
The engine begins with confirmed pivot highs and pivot lows. The user controls the pivot confirmation length, which allows the detector to be tuned for intraday, swing, or higher-timeframe charts.
From the latest confirmed swing pair, the script builds two boundary lines:
- Upper boundary from confirmed pivot highs
- Lower boundary from confirmed pivot lows
The detector then evaluates:
- Pattern span in bars
- Initial boundary width measured against ATR
- Final boundary width relative to the starting width
- Upper boundary slope
- Lower boundary slope
- Correct rising-wedge or falling-wedge geometry
Only when those requirements align does the pattern become an active wedge.
🔸 Break Quality Model
A wedge break is scored only after the reversal-side boundary is broken. The break quality score is built from multiple factors:
- Wedge maturity
- Distance beyond the broken boundary
- Candle body participation
- Close location inside the break candle
- Volume ratio versus recent average volume
The score is translated into a simple grade so the chart stays easy to read. This does not claim that a break must continue. It gives the user a structured read of how strong the confirmed break appears under the script's own rules.
🎯 Projected Reaction Zone
After a confirmed wedge reversal break, the script projects a reaction zone using the initial wedge width. This zone is not a generic support/resistance box. It is tied directly to the wedge geometry and appears only after the structure confirms. The goal is to show the next area where price may naturally react after escaping the compression.
The zone width and projection length are configurable, so users can keep the chart compact or allow more forward context depending on timeframe and style.
🧭 Invalidation Context
The script also draws an invalidation guide after a confirmed break. For a bullish falling-wedge break, invalidation is tracked below the opposite wedge boundary with an ATR buffer. For a bearish rising-wedge break, invalidation is tracked above the opposite wedge boundary with an ATR buffer.
This keeps the post-break structure organized without adding trade instructions or turning the script into a strategy.
📊 Panel
The compact AGPro panel summarizes the current wedge lifecycle:
- Wedge Type
- Maturity
- Break Quality
- Target Zone
Panel location, panel theme, and panel font size are adjustable from settings. The first panel row uses the AGPro standard: one merged blue header row containing only the panel title.
⚙️ Key Settings
- Pivot Confirmation Length controls how strict the swing structure is.
- Minimum Wedge Span filters out tiny patterns.
- Maximum Final Width Ratio controls how much convergence is required.
- Developing Wedge Preview Ratio controls how early dashed formation boundaries can appear.
- Wedge Radar controls the latest-window visual radar that prevents panel-only charts while waiting for confirmed wedge geometry.
- Radar Projection Bars limits how far radar boundaries extend into future bars.
- Radar Fill Threshold keeps low-compression radar structures from creating oversized filled areas.
- Boundary Tags add compact right-side rail annotations so the structure is easier to read without covering candles.
- Compression Tag shows one status label for radar compression or armed-wedge maturity.
- Boundary Break Buffer ATR adds confirmation distance beyond the wedge boundary.
- Volume Confirmation Ratio contributes to break quality scoring.
- Projection Length Bars controls how long the reaction zone extends forward.
- Label Font Size and Label Offset ATR help maintain a clean chart presentation.
🧩 How It Differs From Other AGPro Tools
This script is intentionally separate from AGPro channel, breakout, liquidity, and broad reversal tools.
It is not a channel map. Channel tools organize parallel or multi-family structure. Wedge Reversal Detector only studies converging wedge geometry.
It is not a double top or double bottom detector. Those patterns are based on repeated horizontal rejection and neckline behavior. This script is based on converging diagonal boundaries.
It is not a broad reversal scanner. It does not combine every reversal pattern into one dashboard. It stays focused on wedge compression, wedge maturity, reversal break, projected reaction zone, and invalidation.
It is not a generic breakout quality tool. Break quality is evaluated only after a valid rising or falling wedge exists.
🔔 Alerts
The script includes alerts for:
- Bullish falling wedge break
- Bearish rising wedge break
- High quality wedge break
- Wedge invalidation
These alerts are event notifications for the detected structure, not automated trading instructions.
✨ Best Use Case
Wedge Reversal Detector is best suited for traders who already watch chart patterns, market structure, compression, and failed trend continuation. It helps reduce manual drawing by highlighting qualified wedge structures, then keeping the chart organized through the confirmation, projection, and invalidation phases.
The result is a clean, premium, wedge-specific workflow designed for public chart reading: fewer random lines, fewer noisy labels, and a clearer view of whether the wedge structure is still forming, breaking, projecting, or invalidating.
Indicator
Volume Absorption Zones [AGPro Series]Volume Absorption Zones
🔷 Overview
Volume Absorption Zones is a chart-overlay volume analysis tool built around one specific market condition: high effort with limited price result.
Instead of marking every high-volume candle as important, the script looks for candles where participation expands while the candle range stays compressed, the close location shows directional control, and the resulting price area can be tracked as a forward absorption zone.
When a valid event appears, the script draws a rectangular bullish or bearish absorption box, projects it forward, adds an invalidation level, and continues monitoring whether the zone is defended, failed, or left as active context.
The goal is to make absorption visible as a lifecycle on the chart rather than a one-bar marker.
🔹 Core Idea
Absorption is not the same thing as a volume spike.
A volume spike can appear during expansion, exhaustion, liquidation, news reactions, or ordinary session activity. This script focuses on a narrower structure:
- Volume expands relative to its recent baseline.
- Candle spread remains compressed relative to its recent range baseline.
- The close location shows directional control.
- The wick/body structure leaves a usable absorption range.
- The zone remains visible after the event so later defense or failure can be evaluated.
Bullish absorption is modeled as high participation absorbed near the lower side of the candle while the close finishes with upper-side control.
Bearish absorption is modeled as high participation absorbed near the upper side of the candle while the close finishes with lower-side control.
This makes the script an effort-versus-result zone model, not a generic volume highlight.
💎 What Makes This Script Different
Most volume absorption scripts and high-volume tools stop at one of three outputs:
- A candle color.
- A triangle or label.
- A simple high-volume marker.
Volume Absorption Zones goes further by converting the detected event into a managed chart zone.
The script keeps asking questions after the first signal:
- Where is the absorption range?
- Is the zone still active?
- Has price defended the zone?
- Has price closed beyond the invalidation level?
- Is follow-through improving or fading?
- How old is the zone?
- Is the current context bullish absorption, bearish absorption, defended, failed, or mature?
This lifecycle approach is the main design difference. The first event creates the zone; the later candles tell the story.
🧭 Difference From Other AGPro Scripts
This script was designed to sit in a separate lane from existing AGPro volume and price-action tools.
It is not Volume Climax Detector.
Volume Climax Detector focuses on extreme participation and climax-style events. Volume Absorption Zones focuses on compressed effort: elevated volume with limited spread and a forward zone that can later defend or fail.
It is not Relative Volume Pressure Map.
Relative Volume Pressure Map classifies broader relative-volume pressure and pressure efficiency. Volume Absorption Zones does not try to build a broad pressure regime. It isolates concrete absorption ranges and follows their lifecycle.
It is not Volume Delta Imbalance Map.
Volume Delta Imbalance Map is built around flow imbalance behavior. Volume Absorption Zones does not estimate bid/ask delta, CVD, or directional transaction flow. It stays OHLCV-native and uses candle structure plus relative volume effort.
It is not Volume Profile Acceptance Ladder or a POC tool.
This script does not build volume profile bins, value area, POC magnets, acceptance ladders, or auction distribution zones. Its zones come only from absorption-candle conditions.
It is not a general support/resistance drawer.
The boxes are not swing highs, swing lows, pivots, order blocks, or manually projected support/resistance areas. A box appears only when the absorption engine detects high effort, compressed result, close-location control, and sufficient quality.
That separation is important: the script is not a renamed version of another AGPro concept. Its role is absorption-zone lifecycle tracking.
⚙️ How The Engine Works
The script evaluates each candle through a structured sequence:
1. Volume Effort
Current volume is compared with a rolling volume baseline. The event must show elevated participation before any absorption zone can be created.
2. Spread Compression
The candle range is compared with a recent spread baseline. A qualifying event needs limited price travel relative to normal range behavior.
3. Close Location
Bullish absorption requires the close to finish in the upper part of the candle. Bearish absorption requires the close to finish in the lower part of the candle.
4. Absorbed Wick Share
The script checks whether the candle leaves enough absorbed-side structure to define a useful zone.
5. Absorption Quality
Effort, compression, and close-location behavior are blended into a quality score. This helps filter weaker events and keeps the chart focused on stronger absorption structures.
6. Zone Projection
When the event qualifies, the script draws a rectangular zone and extends it forward for the selected number of bars.
7. Invalidation Level
Each zone receives an ATR-buffered invalidation line beyond the absorption range.
8. Defense / Failure Tracking
After the zone is created, the script tracks whether price defends the range or closes beyond invalidation.
📦 Zone States
Active
The zone has been created and remains unresolved.
Defended
Price interacts with the zone and closes back in favor of the zone direction.
Failed
Price closes beyond the ATR-buffered invalidation level.
Mature
The zone remains active beyond the selected age threshold.
These states help the user understand whether an absorption zone is still relevant, has been respected, or has lost its structure.
📊 AGPro Panel
The dashboard summarizes the latest absorption context without requiring the user to inspect every box manually.
Panel fields:
- Absorption Side
- Effort Score
- Spread Compression
- Follow-through
- Zone Status
- Zone Age
The panel follows the AGPro publication layout:
- Single merged blue header row.
- Header contains only the script panel title.
- Adjustable panel location.
- Adjustable panel theme.
- Adjustable panel font size.
🎯 Visual Design
The script is designed to be readable on clean publication charts:
- Bullish zones use the AGPro teal state color.
- Bearish zones use the AGPro pink state color.
- Failed zones shift to the neutral state color.
- Defended zones shift to the accent state color.
- Invalidation lines are dotted and subtle.
- Event labels are offset from candles so they remain visible.
- Label cooldown and maximum-label settings keep density under control.
- Active zone count is capped for performance and readability.
The default visual style is intentionally active, because absorption is easier to understand when the zone lifecycle is visible on the chart.
🔔 Alerts
Included alert conditions:
- Bullish Absorption Zone
- Bearish Absorption Zone
- Absorption Zone Defended
- Absorption Zone Failed
These alerts are tied to the same lifecycle states shown on the chart.
🛠 Key Inputs
Volume Baseline Length
Controls the lookback used to normalize current volume.
High Effort Threshold
Defines how much relative volume expansion is required before a candle can qualify.
Spread Baseline Length
Controls the range baseline used for spread compression.
Maximum Spread Ratio
Defines how compressed the candle must be relative to its baseline.
Strong Close Location
Controls how strongly the candle must close toward the active side.
Minimum Absorbed Wick Share
Requires visible absorbed-side candle structure before a zone can be accepted.
Minimum Absorption Quality
Filters events by the combined effort, compression, and close-location score.
Zone Extension Bars
Controls how far absorption boxes project forward.
Max Active Zones
Caps the number of active boxes retained on the chart.
Invalidation Buffer ATR
Controls the ATR buffer used for each zone's invalidation level.
Mature Zone Age
Defines when an unresolved zone is considered mature.
Max Zone Memory Bars
Removes older zones so the chart remains focused on recent, visible absorption context.
Label Cooldown Bars
Controls spacing between event labels.
Max Event Labels
Controls the maximum number of retained labels.
Label Font Size / Panel Font Size
Both default to Normal and can be adjusted from settings.
🧩 Best Use
Volume Absorption Zones is designed for traders who want to study:
- High-effort, low-result candles.
- Absorption zones that remain visible after the initial event.
- Whether later price action defends or fails those zones.
- Market areas where volume expands but price travel remains compressed.
- Weekly, daily, and intraday absorption structures without needing a lower-pane volume dashboard.
The script can be used across symbols and timeframes where PulseWire volume data is available. The quality of results depends on the instrument, session structure, liquidity, and reliability of the volume feed.
🔍 Limitations & Transparency
This script uses standard PulseWire OHLCV data.
It does not access order book data, bid/ask data, footprint data, true delta, or exchange-native transaction flow.
The absorption model is rule-based. It approximates absorption through relative volume effort, spread compression, close-location behavior, wick/body structure, and later zone interaction.
It does not predict future price movement and it does not issue buy or sell commands. It organizes absorption context on the chart so users can evaluate how price behaves around those zones.
Different instruments and timeframes may require input adjustments. Thin markets, irregular volume feeds, major gaps, and unusual sessions can affect event quality.
✅ Chart Reading Guide
For the clearest view, use a clean chart with only this script loaded. The boxes, labels, dotted invalidation lines, and panel are designed to explain the absorption lifecycle without requiring additional overlays.
Indicator
