Volume Participation Shock Map [AGPro Series]Volume Participation Shock Map
🧠 Core Idea
Did the volume shock bring real participation, or did the move get absorbed after the first impulse?
📌 Overview / What it does
Volume Participation Shock Map is a volume-flow interpretation tool designed to study what happens after a major participation candle appears.
The script identifies high-quality volume shocks by combining relative volume, candle body participation, ATR-adjusted range expansion, and close location. It then projects the active shock zone, tracks follow-through, detects absorption risk, highlights thin continuation attempts, and summarizes the current participation state in an AG Pro panel.
It does not predict price direction, automate trades, or claim that every high-volume candle will continue. It is a structured visualization tool for reading participation quality after volume events.
🎯 Purpose & Design Philosophy
Many volume tools stop at the first spike.
This script was built to answer the next question:
Did the market continue to participate after the shock, or was the impulse absorbed?
The design goal is to help traders separate meaningful volume expansion from one-bar excitement, thin breakouts, and failed participation.
⚡ Why This Script Is Different
Most tools focus on volume spikes, climax candles, or simple high-volume alerts.
This script does NOT treat high volume as automatically bullish or bearish.
Instead, it checks whether the candle had real body participation, whether price followed through beyond the shock zone, whether the move was absorbed back through the zone, and whether later breakouts happened with weak participation.
⚙️ Methodology
1. Shock Detection
The script compares current volume with recent average volume, checks candle body share, evaluates ATR-adjusted range expansion, and scores close location.
2. Shock Zone Mapping
When a qualified shock appears, the candle range becomes an active participation shock zone.
3. Follow-Through Evaluation
After the shock, the script watches whether price accepts beyond the shock high or low with enough relative volume.
4. Absorption Evaluation
If price closes back through the shock zone after the impulse, the script can mark absorption risk.
5. Visual Output
The chart displays the active shock zone, midpoint participation rail, event labels, right-side context tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Participation Shock Zone = the active high-volume candle range being evaluated.
Participation Rail = the midpoint of the shock zone.
BULL VOLUME SHOCK = a bullish shock candle with strong volume, body participation, and range expansion.
BEAR VOLUME SHOCK = a bearish shock candle with strong volume, body participation, and range expansion.
REAL FLOW CONTINUATION = price followed through beyond the shock zone with acceptable participation.
ABSORPTION RISK = price moved back through the shock zone after the initial impulse.
THIN MOVE = price moved beyond the shock edge without enough relative volume. This appears in Detailed label mode.
Panel = summarizes participation state, quality score, shock type, relative volume, body participation, follow-through, absorption risk, and next context.
🚦 Signals & States
• BULL VOLUME SHOCK → bullish high-participation impulse appeared.
• BEAR VOLUME SHOCK → bearish high-participation impulse appeared.
• REAL FLOW UP → bullish shock followed through with acceptable participation.
• REAL FLOW DOWN → bearish shock followed through with acceptable participation.
• BULL SHOCK ABSORBED → bullish shock lost participation back through the zone.
• BEAR SHOCK ABSORBED → bearish shock lost participation back through the zone.
• SHOCK WATCH → an active shock is still being evaluated.
• QUIET FLOW → no active participation shock is currently dominant.
🔔 Alerts Logic
Alerts trigger when a major participation state appears.
• Volume Participation Shock → a high-quality volume shock appears.
• Real-Flow Continuation → price follows through beyond the active shock zone with acceptable participation.
• Absorption Risk → price closes back through the active shock zone after the shock.
• Thin Move → price moves beyond the shock edge without enough relative volume.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• Relative volume is clearly above normal
• Candle body participation is strong
• Candle range expands versus ATR
• Price closes near the directional side of the candle
• Follow-through appears before the evaluation window expires
• The panel state agrees with the chart label
If these elements do not align, the script avoids treating volume as automatic conviction.
📊 When to Use
• Breakout participation review
• Trend continuation validation
• Reversal impulse analysis
• High-volume candle interpretation
• Futures, stocks, forex, crypto, and liquid markets
• 15m, 30m, 1H, 4H, and 1D charts where volume data is meaningful
⚠️ When NOT to Use
• Symbols with unreliable or missing volume data
• Very low-liquidity markets
• Extremely noisy micro timeframes
• News spikes where volume behavior may be abnormal
• Markets where candle volume does not represent real participation well
• Situations where a single volume event should not be over-interpreted
🎛️ Key Inputs
• Relative Volume Length → defines the volume baseline.
• Shock Relative Volume → sets how strong volume must be before a shock can qualify.
• Minimum Body Participation % → controls how much candle body commitment is required.
• Minimum Range ATR → filters out small candles with high volume.
• Shock Quality Threshold → controls how selective the main shock labels are.
• Follow-Through Window → defines how long after a shock the script watches for continuation or absorption.
• Minimum Follow Relative Volume → defines whether continuation has enough participation.
• Absorption Midline Threshold % → controls how deeply price must return into the shock zone before absorption risk is marked.
• Event Label Mode → Premium focuses on major shock, continuation, and absorption events. Detailed also allows thin-move labels.
🖥️ Interface & Visual Design
The visual hierarchy is built around the active shock zone.
The zone shows the high-volume impulse range.
The midpoint rail helps judge acceptance versus absorption.
Event labels highlight the most important participation behavior.
Right-side tags keep the current shock context visible.
The AG Pro panel compresses the current state into a fast, readable decision-support summary.
🧪 Practical Usage Workflow
1. Read the panel participation state.
2. Check whether an active shock zone is present.
3. Watch whether price accepts beyond the shock high or low.
4. Evaluate whether follow-through has enough relative volume.
5. Watch for absorption back through the shock zone.
6. Confirm the chart context with structure, trend, liquidity, and risk planning.
🔍 Interpretation Guidelines
A volume shock is not automatically a valid trade signal.
Continuation is stronger when price accepts beyond the shock zone with participation.
Absorption matters when the first impulse cannot hold its zone.
Thin moves can warn that price is extending without enough participation.
The script is best used as a participation-reading layer, not as a standalone decision 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 volume spike alert.
⚠️ Limitations & Transparency
Volume quality depends on the symbol and market.
Crypto, futures, stocks, and forex may represent volume differently.
High volatility can create sudden shock labels that need broader context.
Low-liquidity assets may produce misleading relative volume readings.
Different timeframes may show different participation behavior.
🧠 Market Context Notes
Volume can be useful only when it is read together with price behavior.
A strong candle with high volume may show participation.
But if price cannot follow through, that same candle may become an absorption reference.
This script is designed to make that difference easier to see.
🧾 Use Case Examples
If a strong bullish candle appears with high relative volume, large body participation, and range expansion, the script may mark BULL VOLUME SHOCK.
If price later closes above the shock high with enough participation, the script may mark REAL FLOW CONTINUATION.
If price closes back through the shock zone after the impulse, the script may mark ABSORPTION RISK.
If price breaks beyond the shock edge with weak relative volume, Detailed mode may mark THIN MOVE.
🧱 System Philosophy
The goal is not to make volume louder.
The goal is to make volume behavior more interpretable.
This script treats participation as a sequence:
shock → acceptance → follow-through → absorption or continuation.
🔐 Non-Promise Statement
No script can guarantee market direction.
No volume event guarantees continuation.
No absorption 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 how markets behave after high-participation candles.
The most important question is not only whether volume appeared.
The better question is whether price continued to accept that participation afterward.
Indicator
Squeeze Bollinger Bands Tracker [MarkitTick]💡 This institutional-grade analysis suite provides a sophisticated volatility-tracking environment designed to identify market compression phases and high-conviction breakouts. By integrating Bollinger Band standard deviation logic with Z-Score normalization and a non-linear sigmoid volatility engine, the script transforms raw price action into a multi-dimensional heatmap. This approach allows traders to distinguish between low-volatility "coiling" phases and institutional-driven momentum expansions, providing a clear visual representation of market energy.
● ✨ Originality and Utility
The Squeeze Bollinger Bands Tracker distinguishes itself through the implementation of a proprietary "Signal Engine" and a non-linear volatility grading system. Unlike standard Bollinger Band indicators that merely plot static lines, this tool actively monitors the rate of change in channel width relative to its own historical standard deviation.
• Dynamic Volatility Normalization
Most indicators rely on linear calculations that fail to account for the exponential nature of market expansion. This script utilizes a Z-Score calculation to determine how extreme a volatility move is compared to its history, then maps that value through a sigmoid function. This creates a "Heatmap" effect on the candles that reflects institutional participation levels rather than simple price movement.
• Institutional Breakout Grading
The utility is further enhanced by an automated grading system (Grades A, B, and C). By cross-referencing price spread (the distance between open and close) with actual volume metrics during a breakout, the script provides an objective measure of signal quality, helping traders filter out "fakeouts" that lack volume support.
● 🔬 Methodology and Concepts
The logic flow is divided into three core analytical pillars: Compression Detection, Momentum Normalization, and Signal Verification.
• Compression Detection (The Squeeze)
The script calculates the percentage-based width of the Bollinger Bands. When the current width falls below its SMA-based average, the market is classified as being in a "Squeeze" state. This signifies a period where market energy is being stored, often preceding a significant directional expansion.
• Sigmoid-Mapped Z-Score Volatility
To provide the neon heatmap coloring, the script calculates the Z-Score of the channel width. This tells us how many standard deviations the current volatility is from the mean. This Z-Score is then processed through a Sigmoid Function: 100 / (1 + exp(-Z-Score)). This mathematical transformation squashes the infinite Z-Score range into a 0–100 scale, creating a smooth gradient for the "True Institutional Heatmap."
• Breakout Validation Engine
Signals are not generated simply on a price cross. The Signal Engine (a custom User-Defined Type) calculates real-time Entry, Stop Loss (based on the previous basis line), and Take Profit levels. During the moment of crossover, the "calcGrade" method evaluates if the current bar's spread and volume are at least 150% of their historical averages to assign a Grade A "Institutional" breakout.
● 🎨 Visual Guide
The visual interface is designed with a high-contrast "3D Neon" aesthetic to ensure critical data points are immediately recognizable during fast-moving market conditions.
• The 3D Neon Channels
Upper Core & Glow: The upper Bollinger Band is rendered in Cyan (#00FFFF). It features three layers: a 2-pixel core for precision and two wider "Glow" layers with varying transparency (60% and 85%) to create a neon effect.
Lower Core & Glow: The lower band is rendered in Magenta (#FF00FF), following the same three-layer glow architecture to signify the support boundary.
Basis Core: The central moving average is rendered in Yellow (#FFFF00), acting as the dynamic mean and the primary stop-loss anchor.
• True Institutional Heatmap Candles
The candle colors are not fixed; they represent a gradient based on the Sigmoid Volatility score.
Bullish State: Transitions from a deep "Cold" Forest Green (#004D40) during low-volatility rises to a "Hot" Neon Green (#00FF00) during high-momentum surges.
Bearish State: Transitions from a deep "Cold" Purple (#4A148C) during low-volatility drops to a "Hot" Neon Red (#FF0000) during aggressive sell-offs.
Neutral State: Gray (#808080) candles appear when no definitive trend state is identified by the Signal Engine.
• Analytical Dashboard and Labels
Buy/Sell Labels: When a breakout occurs, a Cyan or Magenta label appears. It displays the signal Grade (A, B, or C) and the calculated E (Entry), TP (Take Profit), and SL (Stop Loss) values.
Institutional Analytics Dashboard: Located in the top-right, this table provides real-time data on Trend Maturity (in bars), Volatility State (Squeeze vs. Expanding), and the percentage proximity to the upper and lower breakout levels.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The indicator is built upon the foundation of Statistical Process Control and Information Theory. By treating price movement as a signal-to-noise problem, the script uses the following frameworks:
• Standard Deviation and Gaussian Distribution
The core of the Bollinger Band calculation relies on the assumption that price spends approximately 95% of its time within two standard deviations of the mean. The "Squeeze" logic identifies periods where the distribution is abnormally tight, suggesting an imminent return to the mean or a "Fat Tail" event (a breakout).
• Z-Score Normalization
In statistics, the Z-Score is used to compare observations from different data sets or time periods. By applying Z-Score logic to the width of the bands, the indicator removes the "unit" of price and focuses purely on the intensity of the volatility, allowing for a standardized comparison across different assets (e.g., Bitcoin vs. Apple).
• Non-Linear Sigmoid Mapping
The use of the Sigmoid function (common in Neural Network activation) serves to eliminate outliers in volatility data. This ensures that the candle heatmap provides meaningful color variations even during extreme "Black Swan" events, preventing the visual output from becoming saturated or unreadable.
● 📖 How to Use
Traders should focus on the transition between market states as displayed by the Analytics Dashboard and the Heatmap.
• Step 1: Identify the Squeeze
Monitor the "Volatility State" in the dashboard. When it displays "⚠️ SQUEEZE" in Neon Orange, the market is coiling. This is the preparation phase where no trades should be taken.
• Step 2: Evaluate the Breakout Grade
Wait for a "BUY" or "SELL" label to appear. Priority should be given to "Grade A" signals, as these indicate that both price spread and volume have significantly exceeded their 20-period averages, confirming institutional intent.
• Step 3: Execution and Risk Management
Upon a valid signal, the script provides an automated trade plan. The Stop Loss is set at the Basis (Yellow) line from the previous bar to allow for minor breathing room, while the Take Profit is projected at a 1:1 ratio relative to the width of the band at the time of entry.
● ⚙️ Inputs and Settings
The script provides granular control over the analytical engine and the visual experience.
• Channel Settings
Channel Length: Controls the SMA window for the Bollinger Bands (Default: 20).
Standard Deviation Multiplier: Adjusts the width of the neon boundaries (Default: 2.0).
• Analytics Settings
Squeeze/Z-Score Length: Determines the lookback period used to define what constitutes "average" volatility (Default: 50).
Quality SMA Length: Defines the window for the Grade A/B/C volume and spread verification (Default: 20).
• Color and Heatmap Settings
Users can fully customize the Neon Upper/Lower colors, the Dashboard background transparency, and the specific "Cold" and "Hot" thresholds for the candle gradient engine to match their preferred dark or light chart theme.
⚠️ 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
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Indicator
Indicator
Hungpixi MACD Enhanced MTF with Signal Filter & Anti-SidewayDescription:
This is an enhanced multi-timeframe (MTF) MACD strategy for PulseWire, built with signal filters, anti-sideway logic, and a detailed stats table. It identifies buy/sell opportunities with trend-following or counter-trend signals and provides Bybit-ready JSON alerts for automated trading.
Key Features:
Multiple signal modes: Buy Trend, Buy Counter, Sell Trend, Sell Counter, Strong Buy, Strong Sell. Toggle each signal type to suit your testing needs.
Anti-Sideway Filter: EMA 34 & 89 on 30-min chart plus ATR filter to eliminate sideways market noise.
Multi-Timeframe Analysis (MTF): Automatically calculates signals from higher timeframes and combines with current timeframe for more reliable entries.
Dynamic ATR Stop Loss: Stop-loss levels adapt to market volatility using ATR.
Visual Stats Table: Tracks Equity, Net %, Closed Trades, Win Rate, Profit, and Max Drawdown directly on the chart.
Bybit JSON Alerts: Fully formatted alerts for direct use with trading bots or alert systems.
Customizable Parameters:
- MACD Fast/Slow/Signal lengths
- Cross Score, Indicator Direction Score, Histogram Score
- ATR Stop Multiplier & Period
- EMA Periods, ATR Filter, Minimum ATR for entries
How to Use:
- Import the script into PulseWire (Pine Script v6).
- Enable/disable the signal modes as needed.
- Set up JSON alerts to connect with Bybit or your trading bot.
- Monitor the stats table to evaluate strategy performance over time.
Notes:
Works on all PulseWire symbols, especially crypto, forex, and stock markets. Always backtest thoroughly before trading live. Give feedback on adjustments for better performance in different markets or timeframes. Telegram contact: @hungpixi Strategy
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
Trend Exhaustion Snapback Planner [AGPro Series]Trend Exhaustion Snapback Planner
🧠 Core Idea
Is the current trend stretch becoming snapback-ready, or is momentum still supported enough to avoid calling exhaustion too early?
📌 Overview / What it does
Trend Exhaustion Snapback Planner is a rule-based trend exhaustion and mean-reversion planning tool. It measures how far price has stretched away from its trend mean, then evaluates whether that stretch is supported by pressure, efficiency loss, wick behavior, and room back toward value.
The script produces an exhaustion pocket, snapback rail, failure rail, room reference, event labels, right-side tags, optional bar coloring, and a compact AG Pro dashboard with a 0-100 Snapback Score.
It does not predict reversals. It helps organize trend stretch, exhaustion quality, snapback reclaim behavior, failure risk, and next-action state.
🎯 Purpose & Design Philosophy
Strong trends can stay stretched for longer than expected. At the same time, many reversals begin only after a trend becomes inefficient and price starts moving back toward value.
This script was built to help traders review that transition without relying on a simple overbought or oversold reading.
It supports a patient workflow: identify stretch, wait for reclaim behavior, evaluate room, then interpret the active state within broader market context.
⚡ Why This Script Is Different
Most exhaustion tools focus on RSI extremes, distance from a moving average, or isolated reversal candles.
This script does NOT treat every stretched move as a reversal.
Instead, it maps a live exhaustion pocket, scores stretch quality, tracks snapback reclaim behavior, defines where the idea fails, and shows whether there is room back toward the trend mean.
⚙️ Methodology
1. Trend Stretch Detection
The script measures price distance from a trend mean using ATR normalization.
2. Pressure Evaluation
RSI pressure, wick behavior, and trend-efficiency loss are reviewed to decide whether the extension is weakening.
3. Snapback Rail Mapping
Once a valid exhaustion pocket appears, the snapback rail becomes the first reclaim threshold.
4. Risk / Room Structure
The failure rail marks continuation risk, while the room rail shows the value or structure reference that price may test after reclaim.
5. Visual Output
The chart receives the exhaustion pocket, trend mean, snapback rail, failure rail, room rail, event labels, right-side tags, optional bar coloring, and dashboard panel.
🗺️ How to Read the Chart
The exhaustion pocket marks the stretch area created after price moves far away from its trend mean.
The snapback rail shows the reclaim level that improves the snapback context.
The failure rail marks where continuation risk invalidates the active snapback idea.
The room rail shows the next value or structure reference after the snapback begins.
Labels highlight stretch pockets, snapback reclaim, pocket pressure, room tests, and failed snapbacks.
Colors represent context:
• Teal → bullish snapback context
• Pink → bearish snapback context or failure
• Gold → room, waiting, or neutral review
• Indigo → pocket pressure or monitoring context
The panel summarizes:
• Pocket
• Snapback Score
• Stretch
• Room
• Action
🚦 Signals & States
• Bull Snapback Pocket → downside trend stretch with bullish snapback context
• Bear Snapback Pocket → upside trend stretch with bearish snapback context
• Snapback Reclaim → price reclaimed the active snapback rail
• Pocket Pressure → price is testing the exhaustion pocket without clean reclaim
• Room Test → price reached the active room reference
• Failed → price crossed the failure rail
• READY → reclaim and score quality are strong enough to monitor
• MONITOR → snapback context is active but not fully ready
• WAIT RECLAIM → pocket exists but reclaim has not confirmed
• EXPIRED → the pocket is too old to remain active
🔔 Alerts Logic
Alerts can trigger when a bullish or bearish snapback pocket appears, when price reclaims the snapback rail, when the READY state appears, when pocket pressure appears, when the room rail is reached, or when the context fails.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when ATR stretch, RSI pressure, wick behavior, efficiency loss, snapback reclaim, and room back toward value align.
No single condition is treated as enough by itself.
📊 When to Use
• Mature directional moves
• Strong extensions away from trend mean
• Markets with visible impulse and reaction structure
• 1H, 4H, and 1D review where exhaustion context matters
• Crypto, indices, forex, and liquid stocks
⚠️ When NOT to Use
• Extremely illiquid symbols
• Very low-volume periods
• News shock candles with abnormal gaps
• Very tight ranges with no meaningful trend stretch
• Markets where spreads or wicks dominate the structure
🎛️ Key Inputs
• ATR Length → normalizes trend stretch and rail distances
• Trend Mean Length → controls the main value reference
• Minimum Stretch ATR → controls how stretched price must be before a pocket appears
• RSI Pressure → controls pressure thresholds for extended conditions
• Efficiency Length → controls how trend efficiency loss is measured
• Minimum Ready Score → controls how strict READY classification is
• Projection Bars → controls how far rails and zones extend
• Visual settings → control labels, tags, panel location, theme, and font size
🖥️ Interface & Visual Design
The panel is designed as a compact decision dashboard, not a large data table.
The first row uses a merged AG Pro header. The remaining rows show the pocket state, score, stretch context, room, and action.
The visual hierarchy is built so traders can read the active plan quickly without losing chart structure.
🧪 Practical Usage Workflow
1. Read the panel.
2. Check whether an exhaustion pocket is active.
3. Watch the snapback rail for reclaim behavior.
4. Review failure risk and room back toward value.
5. Interpret labels as context markers, not trade commands.
🔍 Interpretation Guidelines
A high score means the active stretch has multiple snapback conditions aligned.
A snapback reclaim improves the context, but it does not guarantee continuation toward the room rail.
A failed state means price crossed the continuation-risk boundary for that active pocket.
Use the script to organize the question, not to outsource the answer.
🚫 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 reversal timing, target reach, or profitability.
⚠️ Limitations & Transparency
Trend exhaustion can remain extended for long periods.
Different timeframes may show different exhaustion and snapback contexts.
Volatility spikes can distort ATR-normalized distance.
Low liquidity can create false stretch pockets or unreliable wick behavior.
The script is rule-based and should be interpreted within broader market context.
🧠 Market Context Notes
Trend exhaustion is not the same as trend reversal.
The most useful snapback contexts often appear when price stretches away from value, momentum efficiency weakens, and reclaim behavior begins before the failure rail breaks.
The strongest readings usually come from alignment between structure, volatility, and reaction quality.
🧾 Use Case Examples
When price stretches far above the trend mean, RSI pressure rises, and the candle begins reclaiming back through the snapback rail, the bearish snapback context may become more meaningful.
When price stretches below the trend mean but cannot reclaim the snapback rail, the script may remain in WAIT RECLAIM or PRESSURE instead of READY.
When price reaches the room rail after reclaim, the context shifts into room review rather than fresh entry signaling.
🧱 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 trend stretch, momentum pressure, efficiency loss, and snapback behavior interact across different markets and timeframes.
Indicator
ATR Fibonacci Trend Envelopes [BigBeluga]ATR Fibonacci Trend Envelopes is a professional-grade trend-following and mean-reversion framework. It combines the volatility-filtering power of Average True Range (ATR) with the mathematical precision of the Fibonacci Golden Ratio to define high-probability "buy/sell pockets" within an established trend.
Equipped with a live Multi-Timeframe (MTF) dashboard, this indicator allows traders to monitor trend alignment across four different time horizons simultaneously, ensuring that local entries are always supported by the broader market structure.
🔵 THE DUAL-ENGINE FRAMEWORK
Volatility-Adjusted Trend Engine: The indicator uses a customizable Moving Average (SMA, EMA, HMA, etc.) combined with an ATR multiplier to create dynamic envelopes. This filters out market noise and only signals a trend change when price decisively breaks the volatility boundary.
Dynamic Golden Pocket (0.618 - 0.786): Unlike static retracements, these Fibonacci levels are calculated relative to the current ATR envelope. The "Pocket" acts as a high-interest zone where price is expected to find support (in uptrends) or resistance (in downtrends).
Predictive Slope Projections: Using the current rate of change, the script projects the trend and Fibonacci levels into the future. This allows traders to visualize where "Value" will be in the coming bars, facilitating better trade planning and order placement.
🔵 CORE ARCHITECTURE
MTF Alignment Dashboard: A real-time table tracks the trend status and "Pocket" proximity across four timeframes. A "BULL" status combined with an "INSIDE" pocket signal across multiple timeframes indicates a high-confluence institutional setup.
Dynamic Transparency Feedback: The visual intensity of the Golden Pocket adapts based on price proximity. As price approaches the mid-point of the pocket, the colors become more saturated, providing an intuitive visual cue that the market is entering a high-probability reversal zone.
Momentum-Driven Basis: The trend baseline (1.0 level) acts as the ultimate anchor. As long as price remains above this volatility-adjusted line in a bullish regime, the trend is considered structurally sound.
🔵 FEATURES
Multi-MA Versatility: Choose from 5 different moving average types to calculate your trend basis, allowing the indicator to be tuned for slow-moving macro trends or fast-moving scalping setups.
Real-Time Level Labels: Clear, real-time labels (0.5, 0.618, 0.786, 1.0) on the right axis provide exact price targets and stop-loss anchors at a glance.
Customizable Projection Length: Adjust how far the indicator looks into the "future," allowing you to anticipate structural shifts before they occur on the chart.
Adaptive UI Positioning: The dashboard can be moved to any corner of the chart and scaled to match your screen resolution, ensuring it never interferes with your technical analysis.
🔵 STRATEGIC APPLICATION
The "Golden" Pullback: In a confirmed Bull trend (Cyan baseline), wait for price to enter the Dynamic Golden Pocket. Use the saturation of the baseFill color to identify the core of the value zone for a long entry.
MTF Confluence Trading: Only take trades when at least three timeframes on the dashboard show the same trend direction. If the 1H and 4H are "BULL" while the 15m enters the "INSIDE" pocket, you have a high-probability trend-continuation setup.
Volatility Breakouts: Monitor the distance between the baseline and the 0.5 Fib. When the ATR-based envelopes contract, a volatility breakout is imminent. A "⦿" label signal combined with a price cross of the 1.0 level marks the start of a new momentum cycle.
Dynamic Exit Planning: Use the projected 0.5 or 0.618 levels as trailing profit targets. Because these levels adjust for both price and volatility, they represent a mathematically "fair" area to take chips off the table.
ATR Fibonacci Trend Envelopes bridges the gap between classic technical analysis and modern volatility modeling. By combining MTF awareness with the natural pull of the Fibonacci ratios, it provides a clear, actionable map for navigating any market condition. Indicator
Volatility Gated Supertrend [BackQuant]Volatility Gated Supertrend
Overview
Volatility Gated Supertrend is a regime-aware trend-following indicator built around a modified Supertrend engine with an integrated volatility filter . Unlike a traditional Supertrend, which flips direction whenever price crosses its trailing bands, this version introduces a gating mechanism that can block trend reversals during low-volatility conditions .
The purpose of the indicator is simple:
Keep the responsiveness and structure of a Supertrend.
Reduce false flips during sideways or compressed conditions.
Allow trend transitions primarily when volatility is expanding enough to justify participation.
The result is a smoother and more selective trend engine designed to suppress whipsaws while still reacting to meaningful directional movement.
The full source structure for the indicator can be referenced here: :contentReference {index=0}
Core idea
Traditional Supertrend indicators work well during directional markets but struggle in compressed environments:
Price repeatedly crosses the trailing bands.
Trend direction flips too frequently.
False reversals appear during chop.
This indicator attempts to solve that problem by asking:
“Is there enough volatility expansion to justify accepting a new trend?”
Instead of blindly allowing every flip, the indicator measures:
Current volatility,
Baseline volatility,
Relative expansion or compression.
Only when volatility conditions are sufficient does the trend engine allow a directional transition.
What the Supertrend is
The Supertrend is a volatility-based trailing trend indicator built from:
ATR (Average True Range)
A central price source
A directional trailing stop structure
The classic logic:
Upper band = price source + ATR × multiplier
Lower band = price source − ATR × multiplier
These bands trail price dynamically:
In bullish conditions, the lower band ratchets upward.
In bearish conditions, the upper band ratchets downward.
When price crosses one of the bands:
The trend flips direction.
This creates a clean directional regime model.
How this version differs
The major difference is the volatility gate .
A normal Supertrend asks:
“Did price cross the band?”
This indicator asks:
“Did price cross the band, and is volatility strong enough to trust the move?”
That additional filter dramatically changes behavior in sideways conditions.
ATR and volatility structure
The indicator uses two ATR measurements:
Fast ATR → current short-term volatility
Slow ATR → baseline long-term volatility
The core ratio:
Volatility Ratio = Fast ATR / Slow ATR
Interpretation:
Ratio above threshold → volatility expansion
Ratio below threshold → volatility compression
This becomes the gate logic.
Volatility Gate Logic
The gate opens only when:
Fast ATR / Slow ATR ≥ Gate Threshold
If volatility is too compressed:
The gate closes.
Trend flips are blocked.
Importantly:
The Supertrend bands still calculate normally.
Price can still cross them.
But the directional state will not update while the gate is closed.
This distinction matters because it means:
The market may technically trigger a reversal,
But the indicator intentionally ignores it if volatility conditions are weak.
Why this helps
Most trend-following systems fail in chop because:
Small meaningless moves trigger directional flips.
There is insufficient range expansion.
The market lacks trend persistence.
By requiring volatility confirmation:
Weak reversals are filtered out.
Trend state becomes more stable.
Noise is reduced.
This makes the indicator particularly useful during:
Low-volatility consolidations,
Mean-reverting conditions,
Slow drifting ranges.
Band construction
The indicator uses:
hl2 as the central source,
ATR for dynamic width,
A configurable multiplier for sensitivity.
Formulas:
Upper Band = hl2 + ATR × multiplier
Lower Band = hl2 − ATR × multiplier
The trailing logic prevents the bands from moving backward unnecessarily:
Bullish lower band only rises.
Bearish upper band only falls.
This creates the staircase-style trailing structure common in Supertrend systems.
Trend state
Trend direction is binary:
1 = bullish
-1 = bearish
A raw bullish flip occurs when:
Close > trailing upper band
A raw bearish flip occurs when:
Close < trailing lower band
However:
The trend only updates if the volatility gate is open.
This is the defining behavior of the script.
Blocked flips
One of the most important features is the visualization of blocked signals .
When:
Price crosses a band,
But volatility is insufficient,
The script:
Plots an X-cross marker,
Keeps the existing trend state,
Refuses the flip.
This gives traders visibility into:
Potential but unconfirmed reversals,
Areas of weak participation,
Fake breakouts or low-energy transitions.
Visual behavior
Trend band
The active trailing band changes color based on trend direction:
Bullish → bullish color
Bearish → bearish color
Gate closed → gated color (dimmed)
Trend fill
The script fills the space between price and the active band:
Bullish fill during bullish regimes
Bearish fill during bearish regimes
This creates a cleaner directional overlay.
Outer glow
An additional glow layer expands slightly beyond the trend band:
Adds directional emphasis,
Improves trend readability,
Visually reinforces active regime.
When the gate closes:
The band and candles dim.
This visually communicates:
“The trend engine is currently suppressing flips.”
Candle coloring
Candles can optionally inherit the trend state:
Bullish regime → bullish candles
Bearish regime → bearish candles
Gate closed → dimmed neutral appearance
This allows the indicator to function as a full-chart regime overlay.
Signal logic
Bullish signal
Occurs when:
Trend flips from bearish to bullish,
AND the gate is open.
Bearish signal
Occurs when:
Trend flips from bullish to bearish,
AND the gate is open.
Blocked signal
Occurs when:
A raw flip condition appears,
BUT volatility ratio is below threshold.
This distinction is important:
A blocked signal is not ignored information.
It is a rejected transition.
How to interpret the gate
Gate open
Volatility is active.
Market expansion is sufficient.
Trend flips are allowed.
Gate closed
Market is compressed.
Conditions are likely choppy.
Trend reversals are suppressed.
This effectively turns the indicator into a:
Trend-following system during expansion,
Trend-holding system during compression.
Why ATR ratio works well
ATR ratio is a powerful regime detector because it measures:
Current volatility relative to normal volatility.
Not just:
“Is volatility high?”
But:
“Is volatility high relative to its recent baseline?”
This adaptive behavior allows the gate to work across:
Different assets,
Different timeframes,
Different volatility environments.
Input guide
ATR Multiplier
Controls band width:
Higher = wider bands, fewer flips
Lower = tighter bands, more sensitivity
ATR Length
Controls volatility calculation for the Supertrend itself.
Fast ATR
Short-term volatility measure.
Slow ATR
Long-term baseline volatility measure.
Gate Threshold
Controls how strict the gate is:
Lower threshold = more permissive
Higher threshold = more restrictive
Example:
0.6 → allows more flips
1.0 → requires current volatility to match baseline
1.2 → requires expansion regime
Strengths
Reduces Supertrend whipsaws in chop.
Adds regime awareness.
Uses adaptive volatility filtering.
Clean trend visualization.
Blocked-signal logic provides extra context.
Limitations
Can delay reversals during early expansion.
Very high thresholds may suppress legitimate transitions.
Still fundamentally a trend-following system.
Not designed for low-volatility mean reversion trading.
Best use case
Volatility Gated Supertrend works best as:
A directional regime filter,
A swing trend overlay,
A volatility-aware trend confirmation tool,
A way to suppress noise during consolidations.
It is particularly useful for traders who:
Like Supertrend logic,
But dislike how often it flips in sideways markets.
Summary
Volatility Gated Supertrend extends the classic Supertrend framework by introducing a volatility-aware gating engine that blocks trend reversals during compressed market conditions. By comparing fast ATR against slow ATR, the script determines whether enough volatility expansion exists to justify a directional transition. The result is a cleaner, more stable trend system that retains the strengths of Supertrend logic while dramatically reducing whipsaws during low-energy market regimes. Indicator
Post-Breakout Risk Ladder [AGPro Series]Post-Breakout Risk Ladder
🧠 Core Idea
After a breakout happens, is the move still offering clean target room or is pullback risk taking control?
📌 Overview / What it does
Post-Breakout Risk Ladder maps a breakout base, locks the breakout edge, and converts the post-breakout move into a structured R-based risk ladder.
The script displays a breakout base, pullback risk shelf, entry rail, invalidation rail, 1R / 2R / 3R target rails, target defense labels, pullback test labels, and a compact AG Pro dashboard.
It does not predict that a breakout will continue. It helps organize what happens after a breakout: current R, pullback risk, target room, invalidation, and action state.
🎯 Purpose & Design Philosophy
Many breakout tools focus only on the breakout candle.
This script was built for the part that comes next: the risk management phase after the breakout is already visible.
It helps traders read whether the breakout is still structured, whether the pullback is healthy, whether the next target has room, and whether the breakout context has failed.
⚡ Why This Script Is Different
Most breakout indicators highlight the break itself.
This script does NOT treat the breakout as the end of the analysis.
Instead, it builds a post-breakout planning map with a base, entry reference, invalidation shelf, R ladder, pullback risk score, target room, and target defense context.
⚙️ Methodology
1. Breakout Base Detection
The script defines a recent base using completed bars and checks whether price closes beyond the base edge with enough displacement quality.
2. Breakout Lock
When the breakout qualifies, the script locks the base high/low, breakout edge, entry reference, and invalidation edge.
3. Risk Ladder Mapping
Risk is standardized into R units from the breakout entry to invalidation. Target rails are projected as 1R, 2R, and 3R references.
4. Pullback and Defense Evaluation
The script tracks pullback tests into the breakout shelf, current R, target room, and target defense behavior.
🗺️ How to Read the Chart
The breakout base shows the structure that price broke from.
The pullback shelf marks the zone where a retest may remain constructive or become risky.
The entry rail and invalidation rail define the R unit.
The 1R, 2R, and 3R rails show post-breakout target references.
Labels highlight breakout locks, pullback tests, target defense, and invalidation.
The panel summarizes:
• Breakout state
• Current R
• Pullback risk
• Target room
• Action state
🚦 Signals & States
• Bull Breakout → price closed above the breakout base with acceptable quality
• Bear Breakout → price closed below the breakout base with acceptable quality
• Pullback Test → price is testing the post-breakout shelf
• Target Defense → price has reached or interacted with an R target rail
• Invalidated → price lost the active breakout structure
• Expired → the breakout ladder is too old to remain active
🔔 Alerts Logic
Alerts can trigger when a breakout ladder is locked, when the breakout context is READY, when price tests the pullback shelf, when the ladder invalidates, or when target defense appears.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The breakout context becomes stronger when base quality, breakout body strength, relative volume, pullback shelf behavior, and target room align.
The R ladder helps separate structured continuation from late or overextended movement.
📊 When to Use
• After clear range breaks
• During breakout retests
• In trending markets with continuation attempts
• When evaluating post-breakout risk-to-room structure
• On liquid symbols with readable candles and volume
⚠️ When NOT to Use
• Very low-liquidity markets
• Extremely noisy sideways ranges
• Random spike candles without structure
• News candles with unstable spreads
• When no meaningful base exists before the breakout
🎛️ Key Inputs
• Base Lookback Bars → controls how the breakout base is detected
• Break Buffer ATR → controls how far beyond the base price must close
• Minimum Break Body Ratio → filters weak wick-only breaks
• Minimum Relative Volume → filters low-participation breaks
• Retest Shelf ATR → controls the pullback shelf around the broken edge
• Invalidation Buffer ATR → controls where the ladder fails
• Target R Settings → control the 1R / 2R / 3R ladder rails
🖥️ Interface & Visual Design
The visual hierarchy is designed around post-breakout planning.
The base defines context, the shelf defines pullback risk, the rails define R structure, and the panel provides a quick state read.
The goal is to keep the chart useful, structured, and premium without turning it into a cluttered signal board.
🧪 Practical Usage Workflow
1. Check whether a breakout ladder is active
2. Read current R in the panel
3. Inspect the pullback shelf
4. Compare target room with pullback risk
5. Watch invalidation and target defense labels
🔍 Interpretation Guidelines
A READY state means the breakout ladder has enough structure to monitor.
Current R helps measure how far price has moved from the breakout reference.
Pullback risk helps evaluate whether price is still respecting the breakout shelf.
Target room helps avoid treating late moves the same as early moves.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a guaranteed breakout system.
It is not an automated trading tool.
It does not provide financial advice.
It does not guarantee continuation, reversal, targets, or profit.
⚠️ Limitations & Transparency
Breakout quality depends on market structure, volatility, liquidity, and timeframe.
Some breakouts may fail quickly.
Some slow breakouts may not trigger if candle quality or volume is too weak.
R levels are planning references, not guaranteed destinations.
🧠 Market Context Notes
Breakouts are often strongest when structure, participation, and follow-through align.
A breakout with clean target room and controlled pullback risk is different from a late breakout already pressing into extension.
Use the ladder as context, not certainty.
🧾 Use Case Examples
When price breaks above a recent base, the script locks the breakout edge and projects 1R / 2R / 3R references.
If price later pulls back into the shelf, the script marks pullback risk so the user can evaluate whether the structure remains intact.
If price reaches a target rail, target defense labels help identify where the move may need confirmation.
🧱 System Philosophy
AGPro Series tools are built as decision-support engines.
The purpose is to organize market behavior into structure, score, state, and risk context rather than providing blind buy or sell calls.
🔐 Non-Promise Statement
No breakout is certain.
No target rail is guaranteed.
No script can remove risk.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, decisions, risk management, and execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use this tool to study how breakout bases, retests, invalidation, current R, and target room interact across different markets and timeframes.
Indicator
Anchored VWAP Risk Ladder [AGPro Series]Anchored VWAP Risk Ladder
🧠 Core Idea
After an important market event, is price trading close to fair value or becoming extended relative to the anchored VWAP?
📌 Overview / What it does
Anchored VWAP Risk Ladder builds a volume-weighted average price from a selected anchor event and turns the distance from that anchor into a structured risk ladder.
The script displays anchored VWAP, volume-weighted deviation bands, right-side ladder tags, reclaim and lose labels, extension context, and a compact AG Pro panel with distance, score, risk ladder, and action state.
It does not predict price direction, automate trades, or claim that anchored VWAP will hold as support or resistance. It organizes event-based volume-weighted context into a readable chart framework.
🎯 Purpose & Design Philosophy
Anchored VWAP is often useful after a meaningful event, but raw AVWAP alone can be difficult to interpret without context.
This script was built to answer a practical question: how far is price from the anchored value area, and is that distance becoming useful, balanced, or risky?
The design supports traders who think in terms of anchored fair value, risk distance, reclaim behavior, and extension zones.
⚡ Why This Script Is Different
Most VWAP tools show a line and leave interpretation fully manual.
This script does NOT stop at plotting anchored VWAP.
Instead, it builds a complete risk ladder around the anchor, adds deviation context, scores reclaim or lose behavior, and summarizes the current state in a clean dashboard.
⚙️ Methodology
1. Anchor Detection
The script can anchor from manual time, high-volume events, swing pivots, session open, week open, or month open.
2. AVWAP Calculation
From the active anchor, the script accumulates volume-weighted price and volume-weighted variance to calculate anchored VWAP and deviation bands.
3. Risk Ladder Mapping
Distance from anchored VWAP is measured in ATR and deviation terms to classify whether price is near value, inside Band 1, inside Band 2, or extended.
4. Visual Output
The script plots AVWAP, upper/lower deviation bands, ladder fills, event labels, right-side tags, bar state color, and a dashboard.
🗺️ How to Read the Chart
The AVWAP rail represents the volume-weighted average price from the active anchor.
Deviation bands represent the ladder around anchored value.
Labels mark anchor events, AVWAP reclaim events, AVWAP lose events, and optional extension-risk conditions.
The panel shows:
• Anchor → current anchor type and age
• Distance → price distance from AVWAP in ATR
• Risk Ladder → current ladder zone and risk score
• Score → current context score and direction state
• Action → READY / MONITOR / WAIT / BLOCKED
🚦 Signals & States
• Anchor Locked → a new event anchor has been selected
• Ready Reclaim → price has reclaimed anchored VWAP with enough context score
• Ready Lose → price has lost anchored VWAP with enough context score
• Near AVWAP → price is close to anchored value
• Band 1 / Band 2 → price is moving away from anchored value
• Extended → distance from AVWAP is elevated
🔔 Alerts Logic
Alerts can trigger when a new anchor is locked, when price reclaims AVWAP, when price loses AVWAP, or when extension-risk conditions appear.
Alerts are attention markers only. They do not represent trade instructions or guaranteed outcomes.
🧩 Confluence Logic
The context becomes stronger when anchored VWAP reclaim or lose behavior aligns with relative volume, acceptable distance, and a clear ladder state.
The risk ladder helps separate balanced conditions from extension conditions.
📊 When to Use
• After high-volume market events
• Around earnings, news, breakout, or liquidation-style candles
• During trend continuation pullbacks
• When studying institutional average price context
• On liquid symbols with meaningful volume data
⚠️ When NOT to Use
• Very low-liquidity symbols
• Markets with unreliable or synthetic volume
• Extremely choppy conditions where anchors reset too often
• Situations where the selected anchor is not meaningful
• When using AVWAP as a standalone trading signal
🎛️ Key Inputs
• Anchor Mode → controls how AVWAP is anchored
• Manual Anchor Time → user-defined anchor timestamp
• High Volume Anchor Threshold → controls automatic high-volume anchors
• Deviation Band 1 / 2 → controls ladder width
• Extension Risk ATR → controls when distance becomes elevated
• Minimum Ready Score → controls reclaim or lose strictness
• Visual Settings → control bands, labels, tags, panel, and bar colors
🖥️ Interface & Visual Design
The interface is built for fast visual hierarchy.
AVWAP is the central reference, deviation bands define the risk ladder, right-side tags make the ladder readable, and the panel summarizes state without forcing the user to inspect every line manually.
🧪 Practical Usage Workflow
1. Choose the anchor mode
2. Read the active anchor and distance in the panel
3. Check whether price is near AVWAP or extended
4. Watch reclaim or lose labels around AVWAP
5. Use broader structure and risk context before making any decision
🔍 Interpretation Guidelines
Price near AVWAP often represents a balanced value area relative to the anchor.
Price far from AVWAP may represent stronger trend behavior, but it may also carry extension risk.
READY states mark meaningful reclaim or lose behavior, not certainty.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not an automated trading system.
It does not guarantee support, resistance, continuation, reversal, or profit.
It is not financial advice.
⚠️ Limitations & Transparency
Anchored VWAP quality depends heavily on anchor selection.
Different timeframes may produce different anchor timing and visual structure.
Volume data quality may vary between symbols, brokers, and exchanges.
Deviation bands are statistical references, not fixed market boundaries.
🧠 Market Context Notes
Anchored VWAP works best when the anchor represents a meaningful market event.
High-volume displacement, swing pivots, session opens, weekly opens, and monthly opens may each tell a different story.
The user should choose the anchor mode that best fits the market question.
🧾 Use Case Examples
When a high-volume candle creates a new anchor, the script tracks whether price remains near the anchored value area or begins to extend away from it.
When price reclaims AVWAP with enough score, the script marks a READY reclaim context.
When price loses AVWAP with enough score, the script marks a READY lose context.
🧱 System Philosophy
AGPro Series tools are built as decision-support engines.
The purpose is to structure market context into readable zones, states, scores, and risk references without turning analysis into blind signal-following.
🔐 Non-Promise Statement
No script can provide certainty.
No AVWAP level guarantees a reaction.
No signal guarantees continuation, reversal, or profit.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, decisions, risk management, and execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use this tool to study how anchored value, volume-weighted distance, deviation bands, reclaim behavior, and extension risk interact across different market conditions.
Indicator
Order Flow Imbalance Recovery Planner [AGPro Series]Order Flow Imbalance Recovery Planner
🧠 Core Idea
Can a high-volume displacement pocket recover with enough absorption and follow-through to become actionable chart context?
📌 Overview / What it does
Order Flow Imbalance Recovery Planner maps high-volume displacement candles, converts them into practical imbalance recovery pockets, and evaluates whether price can recover that pocket with measurable response.
The script produces imbalance pockets, recovery rails, continuation corridors, invalidation shelves, target reference rails, event labels, and a compact AG Pro dashboard with a 0-100 recovery score.
This script does not read live order book data, footprint data, bid/ask tape, or true exchange-level order flow. It uses chart-available volume, relative volume, candle displacement, wick response, and recovery behavior as a practical visual proxy.
🎯 Purpose & Design Philosophy
The script was built for traders who want a structured way to study volume imbalance recovery instead of reacting to every large candle.
Many displacement candles look important at first, but the useful question is whether price can return to the pocket, absorb pressure, and recover the key rail.
The design supports a context-first workflow: identify the imbalance, observe the test, evaluate the recovery quality, and then read the current state.
⚡ Why This Script Is Different
Most tools mark volume spikes or wide candles as isolated events.
This script does NOT treat every high-volume candle as a signal.
Instead, it builds a recovery pocket, scores the reaction around that pocket, separates test conditions from READY conditions, and keeps invalidation visible.
⚙️ Methodology
1. Context Detection
The script searches for directional displacement candles with elevated relative volume, meaningful candle range, and sufficient body commitment.
2. Reference Mapping
When a valid imbalance is found, the script maps a recovery pocket and a recovery rail around the displacement body.
3. Reaction Evaluation
Price interaction with the pocket is evaluated through retest behavior, close location, wick response, relative volume, freshness, and failure distance.
4. Visual Output
The script displays the active pocket, recovery rail, target rails, invalidation shelf, event labels, bar state color, and dashboard state.
🗺️ How to Read the Chart
Zones represent the active imbalance recovery pocket.
The recovery rail marks the key level price needs to reclaim or lose before the context improves.
Labels highlight new imbalance pockets, pocket tests, ready recovery events, invalidations, and expirations.
Colors:
• Teal = bullish recovery context
• Pink = bearish recovery context or failed context
• Gold = neutral or wait state
• Indigo = monitor or reference state
The panel summarizes imbalance state, recovery score, flow response, risk, and action.
🚦 Signals & States
• Bull Imbalance → a bullish high-volume displacement pocket has been mapped
• Bear Imbalance → a bearish high-volume displacement pocket has been mapped
• Pocket Test → price is interacting with the active imbalance pocket
• Ready Recovery → the recovery score has reached the required threshold
• Invalidated → price has moved beyond the active failure edge
• Expired → the imbalance pocket is too old to remain active
🔔 Alerts Logic
Alerts can trigger when a new imbalance pocket is locked, when price tests the active pocket, when recovery reaches READY status, or when the context is invalidated.
Alerts are attention markers only. They are not trade instructions and do not guarantee future price behavior.
🧩 Confluence Logic
The context becomes stronger when high relative volume, large displacement, clean pocket retest, wick absorption, and recovery close align around the same pocket.
📊 When to Use
• After high-volume displacement candles
• During pullback and recovery phases
• Around breakout continuation attempts
• When studying absorption after aggressive movement
• On liquid symbols with reliable volume data
⚠️ When NOT to Use
• Very low-liquidity markets
• Symbols with unreliable volume data
• Extremely noisy sideways sessions
• News-driven spikes with unstable spreads
• Markets where chart volume does not represent meaningful participation
🎛️ Key Inputs
• Minimum Displacement Range → controls how large a candle must be relative to ATR
• Minimum Body Ratio → filters weak candles with too much wick noise
• Minimum Relative Volume → controls how much volume confirmation is required
• Minimum Ready Score → controls how strict the READY state is
• Projection Bars → controls how far active pockets and rails extend
• Visual Settings → control labels, zones, right-side tags, panel, font size, and bar colors
🖥️ Interface & Visual Design
The dashboard is designed as a quick decision-support panel, not a separate oscillator.
The chart uses a clear hierarchy: pocket first, recovery rail second, labels third, and targets only after recovery context becomes relevant.
The goal is to keep the chart premium, readable, and useful at first glance.
🧪 Practical Usage Workflow
1. Read the panel state
2. Locate the active imbalance pocket
3. Check whether price is testing or recovering the pocket
4. Review the recovery score and risk
5. Compare the output with broader market structure
🔍 Interpretation Guidelines
A READY state means the script has detected enough recovery behavior around the imbalance pocket to mark the context as worth attention.
It does not mean price must continue.
Use the output as structured context together with trend, liquidity, volatility, and higher-timeframe conditions.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a true order book, footprint, or bid/ask delta tool.
It is not an automated trading system.
It does not provide guaranteed signals.
It is not financial advice.
⚠️ Limitations & Transparency
The script uses chart-available data only.
Volume quality differs between markets, brokers, exchanges, and asset classes.
Timeframe changes may alter the appearance and timing of imbalance pockets.
Extreme volatility may produce rapid invalidation or repeated displacement events.
🧠 Market Context Notes
Order-flow style interpretation should always consider liquidity, volatility, structure, and session context.
A strong recovery pocket in a clean trend may carry more practical meaning than the same pocket inside a noisy range.
🧾 Use Case Examples
When price creates a high-volume bullish displacement candle and later retests the pocket, the script evaluates whether the retest shows enough absorption and recovery strength to become a READY context.
When price loses the recovery edge, the script marks invalidation rather than keeping the setup visually alive.
🧱 System Philosophy
AGPro Series tools are designed as decision-support engines.
The goal is not to simplify markets into blind signals, but to organize complex price behavior into readable structure, state, and risk context.
🔐 Non-Promise Statement
No script can provide certainty.
No signal guarantees continuation, reversal, or profit.
Outputs should be interpreted as analytical context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
Use this tool to study how volume displacement, imbalance pockets, absorption, and recovery behavior interact across different markets and timeframes.
Indicator
Supply Demand Flip Planner [AGPro Series]Supply Demand Flip Planner
🧠 Core Idea
Has an old supply or demand zone changed role and started acting as the opposite side of the market?
📌 Overview / What it does
Supply Demand Flip Planner is a role-change price action tool designed to identify when a prior supply zone turns into demand, or when a prior demand zone turns into supply.
The script detects pivot-based supply and demand zones, monitors breaks through those zones, maps the active flip zone, evaluates retest acceptance, and displays a structured 0-100 score. It also shows invalidation shelves, target rails, centered zone text, labels, and a compact AG Pro dashboard.
It does not predict future price movement, automate trades, or provide guaranteed buy/sell signals. It is a visual decision-support framework for reading supply-demand flip behavior.
🎯 Purpose & Design Philosophy
This script was built for traders who watch support/resistance role reversal but want a cleaner way to separate meaningful flips from ordinary breaks.
Many zones break and never matter again. Some zones break, retest, and start acting as the opposite side of the market. This planner focuses on that role-change moment.
The design supports a structured workflow: map supply and demand, wait for break, monitor retest, evaluate acceptance, then track invalidation.
⚡ Why This Script Is Different
Most supply and demand tools draw zones and leave interpretation fully manual.
This script does NOT simply flood the chart with historical zones.
Instead, it focuses on the active role-change zone, measures retest quality, scores acceptance, and presents the result through a clear READY / MONITOR / WAIT / INVALIDATED framework.
⚙️ Methodology
1. Context Detection
The script detects pivot-based supply and demand zones using configurable left/right pivot confirmation.
2. Reference Mapping
It maps source supply and demand shelves, then converts a broken zone into an active flip zone.
3. Reaction Evaluation
When price retests the flip zone, the script evaluates break strength, retest depth, wick response, body quality, source-zone quality, freshness, and relative volume.
4. Visual Output
The active flip zone is shown with centered text, invalidation shelf, target rails, right-side tags, labels, and an AG Pro panel.
🗺️ How to Read the Chart
Supply zones represent pivot-based resistance shelves.
Demand zones represent pivot-based support shelves.
Demand Flip means old supply has been broken and is being evaluated as new demand.
Supply Flip means old demand has been broken and is being evaluated as new supply.
READY FLIP labels mark retests that pass the selected acceptance score.
Invalidation shelf marks where the flip context weakens or fails.
The AG Pro panel summarizes Flip State, Acceptance, Retest, Failure Risk, and Action.
🚦 Signals & States
• DEMAND → pivot-based demand zone mapped.
• SUPPLY → pivot-based supply zone mapped.
• DEMAND FLIP → old supply was broken and is being watched as new demand.
• SUPPLY FLIP → old demand was broken and is being watched as new supply.
• FLIP RETEST → price is interacting with the active flip zone.
• READY FLIP → retest acceptance reached the required score threshold.
• INVALIDATED → the active flip lost its invalidation edge.
• READY → qualified flip acceptance is active.
• MONITOR → the flip zone is active or retesting.
• WAIT → no qualified flip acceptance is active.
🔔 Alerts Logic
Demand Flip Locked triggers when price breaks above a prior supply zone.
Supply Flip Locked triggers when price breaks below a prior demand zone.
Demand Flip Acceptance Ready triggers when a bullish flip retest reaches the score threshold.
Supply Flip Acceptance Ready triggers when a bearish flip retest reaches the score threshold.
Supply Demand Flip Retest triggers when price interacts with the active flip zone.
Supply Demand Flip Invalidated triggers when the flip loses its invalidation shelf.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest flip contexts appear when break strength, retest depth, wick response, close quality, source-zone quality, freshness, and relative volume align.
When a broken zone is retested cleanly and accepted from the opposite side, the score improves and the panel shifts toward a stronger action state.
📊 When to Use
• Support/resistance role reversal
• Breakout retests
• Trend continuation after zone breaks
• Failed range boundaries that become new reaction zones
• Markets with clear swing structure
⚠️ When NOT to Use
• Extremely noisy markets with weak pivot structure
• Very low liquidity symbols
• Markets with large spread or unreliable candles
• News spikes where zones break and fail too quickly
• Timeframes where pivot zones are too dense or too sparse
🎛️ Key Inputs
• Pivot Left / Right Bars → control how strict the source zone detection is.
• Zone Depth ATR → controls the thickness of supply and demand shelves.
• Break Buffer ATR → requires price to break beyond the source zone by a volatility-adjusted amount.
• Retest Window Bars → controls how long the flip remains relevant.
• Acceptance Buffer ATR → defines how much confirmation is required after retest.
• Invalidation Buffer ATR → controls the failure shelf beyond the flip zone.
• Minimum Ready Score → sets how strict READY labels should be.
• Visual Settings → control zones, labels, centered zone text, target rails, and right-side tags.
• Panel Settings → control panel visibility, location, theme, and font size.
🖥️ Interface & Visual Design
The interface is designed to make role-change structure readable without overwhelming the chart.
The active flip zone uses centered text so the purpose of the zone is immediately visible. Source zones are subtle, while READY labels and target rails stand out only when a valid acceptance context appears.
The panel gives a quick summary of the current flip state and risk context.
🧪 Practical Usage Workflow
1. Identify the latest supply and demand zones.
2. Wait for a zone to break and become a flip candidate.
3. Watch for retest interaction inside the flip zone.
4. Check the READY FLIP label and acceptance score.
5. Compare price with invalidation shelf and target rails.
6. Confirm broader trend, volatility, and liquidity before making decisions.
🔍 Interpretation Guidelines
A high acceptance score means the role-change reaction is cleaner according to the script's rules.
A pending retest means price has returned to the zone but has not yet shown enough acceptance.
A failed flip means price lost the invalidation edge and the role-change context should be treated as weakened.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not guarantee entries, exits, profits, or outcomes.
⚠️ Limitations & Transparency
Pivot-based zones are confirmed after the selected right-side bars, so source zones appear after confirmation.
Different timeframes can create very different supply and demand structures.
High volatility can cause quick break-and-fail behavior around zones.
No rule-based script can fully account for news, liquidity shocks, or sudden market structure changes.
🧠 Market Context Notes
Supply-demand flips are a form of role reversal.
Old resistance can become new support after acceptance. Old support can become new resistance after acceptance.
The script is strongest when used with broader market structure, trend context, liquidity, and volatility analysis.
🧾 Use Case Examples
When price breaks above a supply zone, returns to the zone, and holds above it with clean reaction quality, the script may mark a Demand Flip acceptance.
When price breaks below a demand zone, retests it from below, and rejects cleanly, the script may mark a Supply Flip acceptance.
🧱 System Philosophy
Supply Demand Flip Planner follows the AG Pro Series approach: transform a common market concept into a structured decision map with context, score, risk reference, and clean visuals.
The goal is not to replace judgment. The goal is to make role-change analysis easier to read.
🔐 Non-Promise Statement
No script can provide certainty.
No signal should be treated as guaranteed.
Outputs should always be interpreted with independent analysis and responsible risk control.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
This script is designed to help traders study how supply zones, demand zones, breakout retests, and role-change acceptance behave across different market conditions.
Indicator
Fair Value Gap Reclaim Planner [AGPro Series]Fair Value Gap Reclaim Planner
🧠 Core Idea
Has price returned into a fair value gap and reclaimed the imbalance midpoint with enough quality?
📌 Overview / What it does
Fair Value Gap Reclaim Planner is an imbalance-focused price action tool built around three-candle fair value gap structure.
The script detects bullish and bearish FVG zones, tracks fill progress, maps the midpoint, evaluates reclaim quality, and displays a structured 0-100 readiness score. It also projects an active reclaim corridor, invalidation shelf, target rails, labels, and a clean AG Pro dashboard.
It does not predict future price movement, automate entries, or provide guaranteed signals. It is a visual framework for reading fair value gap reclaim behavior.
🎯 Purpose & Design Philosophy
This script was built for traders who study imbalance zones but want a cleaner way to separate meaningful reclaim behavior from ordinary gap interaction.
Fair value gaps can attract attention, but not every touch matters. The planner focuses on whether price fills, reacts, and reclaims a meaningful reference level inside the imbalance.
The design supports patient analysis: identify the zone, measure the fill, wait for reclaim, then evaluate context.
⚡ Why This Script Is Different
Most FVG tools highlight many imbalance zones and leave the user to interpret the rest manually.
This script does NOT flood the chart with every historical imbalance.
Instead, it focuses on the active FVG context, tracks fill progress, evaluates midpoint or full-edge reclaim, and converts the reaction into a clear score and action state.
⚙️ Methodology
1. Context Detection
The script detects bullish and bearish three-candle fair value gaps using a minimum ATR-based size filter.
2. Reference Mapping
It maps the FVG top, bottom, midpoint, fill area, and invalidation boundary.
3. Reaction Evaluation
When price interacts with the active FVG, the script evaluates fill progress, reclaim distance, wick response, body quality, relative volume, gap quality, and freshness.
4. Visual Output
Qualified reclaim events are shown with labels, projected zones, target rails, right-side level tags, and a compact panel.
🗺️ How to Read the Chart
FVG Zone shows the active imbalance area.
Midline marks the primary reclaim reference when Midline mode is selected.
Fill Progress shows how deeply price has returned into the imbalance.
READY FVG RECLAIM labels mark reclaim events that meet the selected score threshold.
Invalidation Shelf marks the area where the reclaim context weakens or fails.
The AG Pro panel summarizes Gap State, Reclaim Score, Fill Progress, Risk, and Action.
🚦 Signals & States
• BULL FVG → bullish fair value gap detected and locked.
• BEAR FVG → bearish fair value gap detected and locked.
• READY FVG RECLAIM → price reclaimed the selected FVG reference with enough quality.
• FVG TOUCH → price interacted with the active FVG zone.
• INVALIDATED → the active reclaim context lost the opposite FVG edge.
• READY → a qualified reclaim event is active.
• MONITOR → the active FVG is being tested or a reclaim context remains open.
• WAIT → no qualified reclaim event is active.
🔔 Alerts Logic
Bullish FVG Reclaim Ready triggers when price reclaims the selected FVG reference upward with enough score quality.
Bearish FVG Reclaim Ready triggers when price reclaims the selected FVG reference downward with enough score quality.
FVG Touch triggers when price interacts with the active imbalance zone.
FVG Reclaim Invalidated triggers when the active reclaim context loses the opposite FVG edge.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest reclaim contexts appear when fill progress, wick response, close quality, relative volume, gap size, and freshness align.
When price returns into the imbalance, respects the zone, and reclaims the midpoint or edge with clean reaction quality, the score improves.
📊 When to Use
• Markets with visible imbalance behavior
• Breakout pullbacks into fair value gaps
• Trend continuation reviews
• Reclaim attempts after partial FVG fills
• Intraday or swing contexts where FVG zones remain meaningful
⚠️ When NOT to Use
• Very low liquidity markets
• Extremely noisy or illiquid symbols
• Markets with unreliable candles or volume
• Wide-spread conditions where small gaps are misleading
• News spikes where imbalance zones can be invalidated quickly
🎛️ Key Inputs
• Minimum FVG Size ATR → filters out tiny imbalance zones.
• Maximum FVG Age Bars → controls how long an FVG can remain active.
• Reclaim Reference → chooses midpoint reclaim or full-edge reclaim.
• Touch Lookback Bars → controls how recent the FVG interaction must be.
• Invalidation Buffer ATR → controls the risk shelf beyond the FVG edge.
• Minimum Ready Score → sets how strict READY events should be.
• Target Rails → control projected T1 and T2 levels.
• Label Settings → control label density, size, and spacing.
• Panel Settings → control panel visibility, location, theme, and font size.
🖥️ Interface & Visual Design
The interface is designed to show the active imbalance context without filling the chart with excessive historical zones.
The FVG zone, midline, fill meter, invalidation shelf, target rails, and panel are visually separated so the chart remains readable.
The goal is a premium first-glance layout: zone first, reclaim second, action state third.
🧪 Practical Usage Workflow
1. Check the panel for active Gap State.
2. Locate the FVG zone and midpoint.
3. Watch how deeply price fills the imbalance.
4. Evaluate READY FVG RECLAIM labels and score quality.
5. Compare price with the invalidation shelf and target rails.
6. Confirm broader structure before making decisions.
🔍 Interpretation Guidelines
A high reclaim score means the reaction is cleaner according to the script's rules.
A lower score means the reclaim may be weaker, late, noisy, or incomplete.
Fill progress is not a signal by itself. It becomes more meaningful when combined with reclaim quality and broader market context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not guarantee entries, exits, profits, or outcomes.
⚠️ Limitations & Transparency
Fair value gap interpretation can vary across markets, sessions, and timeframes.
Some markets create many small gaps that may not carry meaningful context.
Volatility changes can make an active FVG less relevant over time.
No rule-based script can fully account for news, liquidity shocks, or sudden market structure shifts.
🧠 Market Context Notes
Fair value gaps often represent fast price displacement and temporary imbalance.
The reclaim of a midpoint or edge can help traders study whether the market is accepting or rejecting the imbalance area.
The script works best when combined with structure, liquidity, volatility, and trend context.
🧾 Use Case Examples
When a bullish FVG forms after displacement, price returns into the zone, partially fills it, and then reclaims the midpoint, the script may mark a bullish reclaim context.
When a bearish FVG forms after downside displacement, price retraces into the imbalance and then rejects back below the midpoint, the script may mark a bearish reclaim context.
🧱 System Philosophy
Fair Value Gap Reclaim Planner follows the AG Pro Series approach: turn a popular market concept into a structured decision map with context, score, risk reference, and clean visuals.
It is designed to support judgment, not replace it.
🔐 Non-Promise Statement
No script can provide certainty.
No signal should be treated as guaranteed.
Outputs should always be interpreted with independent analysis and responsible risk control.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
This script is designed to help traders study how fair value gap fills, midpoint reclaims, and imbalance reactions behave across different market conditions.
Indicator
VWAP Pullback Reclaim Planner [AGPro Series]VWAP Pullback Reclaim Planner
🧠 Core Idea
Has price pulled back into VWAP and reclaimed it with enough quality to deserve attention?
📌 Overview / What it does
VWAP Pullback Reclaim Planner is a volume-weighted price action tool designed to evaluate pullbacks around VWAP and highlight reclaim conditions with a structured readiness score.
The script maps VWAP, a pullback pocket, reclaim corridors, invalidation shelves, target rails, labels, and a compact AG Pro dashboard. It focuses on whether price has moved away from VWAP, reacted, and returned through the reference with enough quality.
It does not predict future price movement, automate trading, or provide buy/sell commands. It is a visual decision-support framework for reading VWAP reclaim context.
🎯 Purpose & Design Philosophy
This script was built for traders who use VWAP as a live market reference but need more structure than a single line on the chart.
Many VWAP tools show the average price only. This planner adds context: pullback depth, reclaim quality, reaction strength, room, invalidation, and next-action state.
The design philosophy is simple: make VWAP reclaim situations easier to read without turning them into mechanical signals.
⚡ Why This Script Is Different
Most tools focus on plotting VWAP as a static benchmark.
This script does NOT treat every VWAP touch as meaningful.
Instead, it waits for a pullback, checks reclaim behavior, scores the reaction, and then presents the result through zones, labels, target rails, and a clear READY / MONITOR / WAIT / INVALIDATED state.
⚙️ Methodology
1. Context Detection
The script builds an anchored VWAP from the selected anchor mode and monitors price distance from that volume-weighted reference.
2. Reference Mapping
It creates a VWAP pullback pocket using ATR depth so the zone adapts to current volatility.
3. Reaction Evaluation
When price reclaims VWAP after a pullback, the script evaluates close distance, wick response, body quality, relative volume, VWAP slope alignment, and freshness.
4. Visual Output
Qualified events are shown with reclaim labels, a reclaim corridor, invalidation shelf, target rails, right-side tags, and a panel summary.
🗺️ How to Read the Chart
VWAP line shows the active volume-weighted reference.
The shaded pocket around VWAP marks the pullback area where reaction quality is evaluated.
READY RECLAIM labels highlight reclaim events that pass the selected score threshold.
The reclaim corridor shows the active continuation area after a valid reclaim.
The invalidation shelf marks where the reclaim context weakens.
The AG Pro panel summarizes VWAP State, Reclaim Score, Pullback Quality, Room, and Action.
🚦 Signals & States
• READY RECLAIM → price reclaimed VWAP after a pullback with enough quality.
• VWAP PULLBACK → price is inside or beyond the pullback pocket and may deserve monitoring.
• INVALIDATED → an active reclaim context lost its invalidation shelf.
• READY → a qualified reclaim event is active.
• MONITOR → a reclaim or pullback context is active but not a fresh ready event.
• WAIT → no actionable VWAP reclaim context is active.
• BLOCKED → VWAP or volatility context is not valid enough for evaluation.
🔔 Alerts Logic
Bullish VWAP Reclaim Ready triggers when price reclaims VWAP upward after a valid pullback and score threshold is met.
Bearish VWAP Reclaim Ready triggers when price reclaims VWAP downward after a valid pullback and score threshold is met.
VWAP Pullback Watch triggers when price enters the pullback evaluation area.
VWAP Reclaim Invalidated triggers when an active reclaim loses its invalidation shelf.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest contexts appear when pullback freshness, VWAP reclaim, wick response, close strength, relative volume, and VWAP slope alignment support the same direction.
When these factors align, the score improves and the panel shifts toward a clearer action state.
📊 When to Use
• Intraday sessions where VWAP is actively watched
• Trend pullbacks around a volume-weighted mean
• Post-move reclaim attempts after sharp reactions
• Markets with enough liquidity for VWAP to be meaningful
• Breakout continuation and mean-reclaim review
⚠️ When NOT to Use
• Very low liquidity markets
• Extremely noisy symbols with unreliable volume
• Markets with wide spread or thin candles
• News-driven spikes where VWAP context can change too quickly
• Symbols where volume data is missing or distorted
🎛️ Key Inputs
• Anchor Mode → controls whether VWAP resets by session, week, or month.
• Pullback Pocket Depth → changes how wide the VWAP pullback area becomes.
• Reclaim Buffer → requires price to reclaim beyond VWAP by a volatility-adjusted amount.
• Invalidation Shelf → controls the risk shelf after reclaim.
• Minimum Ready Score → sets how strict READY labels should be.
• Target Rails → control the projected T1 and T2 reference levels.
• Label Settings → control density, size, spacing, and visual clarity.
• Panel Settings → control panel visibility, location, theme, and font size.
🖥️ Interface & Visual Design
The interface is designed to keep the chart readable while still feeling premium and informative.
The panel provides the current state at a glance. Labels mark important reclaim events. Zones and rails show context without overwhelming the candles.
The visual hierarchy is built around VWAP first, reclaim quality second, and action state third.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether price is near the VWAP pullback pocket.
3. Look for READY RECLAIM labels and score quality.
4. Compare price with the reclaim corridor, invalidation shelf, and target rails.
5. Confirm the broader market structure before making any decision.
🔍 Interpretation Guidelines
A high score means the reclaim structure is cleaner according to the script's rules.
A low or missing score means the reclaim context is incomplete, weak, or not currently active.
The script is best interpreted with trend, liquidity, volatility, and higher-timeframe structure.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a financial advisor.
It is not an automated trading system.
It does not guarantee entries, exits, profits, or outcomes.
⚠️ Limitations & Transparency
VWAP behavior can differ across symbols, sessions, and timeframes.
Volume quality matters. If volume data is unreliable, VWAP interpretation may weaken.
Fast volatility expansion can invalidate reclaim context quickly.
No rule-based tool can fully account for market news, liquidity shocks, or sudden structural changes.
🧠 Market Context Notes
VWAP often acts as a live reference for institutional positioning, intraday fairness, and reaction quality.
However, VWAP should not be read alone. The best use comes from combining VWAP reclaim structure with liquidity, trend, volatility, and support/resistance context.
🧾 Use Case Examples
When price pulls below VWAP, rejects lower prices, and reclaims VWAP with strong close quality, the script may mark a bullish reclaim context.
When price pushes above VWAP, fails to hold, and reclaims downward with strong reaction quality, the script may mark a bearish reclaim context.
🧱 System Philosophy
VWAP Pullback Reclaim Planner follows the AG Pro Series approach: convert a market concept into a structured decision map with context, score, risk reference, and visual clarity.
The goal is not to replace judgment. The goal is to make judgment easier.
🔐 Non-Promise Statement
No script can provide certainty.
No signal should be treated as guaranteed.
Outputs should always be interpreted with independent analysis and risk control.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
Users are responsible for their own decisions, risk management, and trade execution.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
This script is designed to help traders study how VWAP pullbacks, reclaim attempts, and reaction quality behave across different market conditions.
Indicator
Donchian Retest Readiness [AGPro Series]# Donchian Retest Readiness
🧠 Core Idea
After price breaks a Donchian Channel boundary, is the broken edge ready to act as a clean retest and continuation reference?
📌 Overview / What it does
Donchian Retest Readiness is a breakout-boundary decision-support script built around Donchian Channels.
The script maps the rolling Donchian high, low, and midpoint, detects channel breaks, builds a retest pocket around the broken edge, scores retest quality from 0 to 100, and projects continuation lanes with target rails.
It does not predict price direction, automate trades, or provide guaranteed signals. It organizes Donchian break context, retest quality, channel edge, risk, and action state into a clean visual workflow.
🎯 Purpose & Design Philosophy
Many breakout tools mark the moment price leaves a range, but the difficult part often comes after the break: deciding whether the broken edge is being respected.
This script was built for traders who want to evaluate Donchian breakout retests without treating every new high or new low as a complete trading idea.
The design supports structured observation: break first, retest pocket second, hold quality third.
⚡ Why This Script Is Different
Most Donchian tools focus on channel highs and lows.
This script does NOT stop at drawing the Donchian Channel.
Instead, it converts the broken channel edge into a decision zone, evaluates whether price returns to that area, measures hold quality, and summarizes readiness with a clear 0-100 score.
⚙️ Methodology
1. Donchian Channel Mapping
2. Breakout Boundary Detection
3. Retest Pocket Construction
4. Hold / Failure Evaluation
5. 0-100 Retest Readiness Score
6. Panel And Alert Output
🗺️ How to Read the Chart
The Donchian Channel shows the rolling high, low, and midpoint.
The retest pocket appears around the broken channel edge after a breakout.
READY RETEST labels appear when price interacts with the broken edge and holds with enough quality.
Continuation lanes and target rails show the projected area beyond the accepted retest context.
The panel summarizes Break State, Retest Score, Channel Edge, Risk, and Action.
🚦 Signals & States
• READY → A qualified Donchian retest has formed.
• MONITOR → A Donchian break is active and retest behavior is being evaluated.
• WAIT → The channel is valid, but no active break / retest context is present.
• INVALIDATED → Price failed back through the broken channel edge.
• BLOCKED → The Donchian channel is not suitable for evaluation under current settings.
🔔 Alerts Logic
Bullish Donchian Retest Ready triggers when price breaks above the Donchian high, returns to the broken edge, and holds with enough score quality.
Bearish Donchian Retest Ready triggers when price breaks below the Donchian low, returns to the broken edge, and holds with enough score quality.
Donchian Break Watch alerts mark the first boundary break when enabled.
Donchian Retest Invalidated triggers when price fails back through the broken edge.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The retest score combines wick response, close pressure beyond the broken edge, proximity to the retest pocket, breakout impulse, relative volume, and channel width quality.
When several of these conditions align, the retest context becomes stronger.
📊 When to Use
• Breakout markets
• Trend continuation setups
• Pullbacks after new highs or new lows
• Donchian Channel structure analysis
• Intraday or swing contexts where retest behavior matters
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely noisy chop
• Abnormal spread conditions
• News spikes where retest behavior is unstable
• Markets where every boundary break immediately reverses
🎛️ Key Inputs
• Donchian Length → controls the rolling channel high and low.
• ATR Length → controls retest pocket depth, buffers, targets, and label spacing.
• Minimum Channel Width → blocks weak channels that are too narrow.
• Retest Pocket ATR → controls how wide the broken-edge retest pocket is.
• Minimum Ready Score → controls how selective READY states are.
• Projection Bars → controls how far pockets and targets extend.
• Visual settings → control channel, fill, pocket, lane, labels, tags, and panel.
🖥️ Interface & Visual Design
The script uses a clean AG Pro panel to summarize the current Donchian context.
The visual hierarchy is designed to keep the channel visible while making the active retest pocket and READY label easy to see.
Default settings keep failed and early watch labels off so publication screenshots remain clean.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check the Donchian channel boundary.
3. Wait for a break and retest pocket.
4. Evaluate whether price holds the broken edge.
5. Review target rails and failure risk.
🔍 Interpretation Guidelines
A READY retest means the broken Donchian edge is being respected according to the script rules.
It does not mean price must continue.
An invalidated retest means price failed back through the broken edge and the breakout context lost quality.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a buy or sell signal generator.
It is not an automated trading system.
It does not guarantee breakouts, continuation, or reversals.
⚠️ Limitations & Transparency
Donchian behavior can vary by symbol, timeframe, volatility, and liquidity.
Shorter timeframes may produce more noise.
Longer Donchian lengths may react more slowly.
The script should be interpreted within broader structure, market regime, and risk context.
🧠 Market Context Notes
Donchian edges often become meaningful when market participants react to new highs, new lows, and breakout continuation attempts.
The strongest contexts usually combine a clean boundary break, controlled retest, and enough continuation room.
🧾 Use Case Examples
When price breaks above the Donchian high and later retests the broken edge without closing back through it, the script may mark a bullish READY RETEST.
When price breaks below the Donchian low and retests the edge from below with enough quality, the script may mark a bearish READY RETEST.
When price breaks out and then closes back through the broken edge, the retest can become invalidated.
🧱 System Philosophy
This script follows the AGPro Series approach: structured context, practical scoring, clean visuals, and decision-support states instead of noisy prediction claims.
🔐 Non-Promise Statement
No script can provide certainty.
No output should be treated as guaranteed.
All states are rule-based analytical markers.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and position sizing.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
The purpose of this script is to help users study Donchian Channel breakout and retest behavior through a structured visual framework.
Indicator
Keltner Squeeze Release Planner [AGPro Series]# Keltner Squeeze Release Planner
🧠 Core Idea
Is volatility compression turning into a clean Keltner Channel release, or is price still trapped inside the squeeze?
📌 Overview / What it does
Keltner Squeeze Release Planner is a volatility compression and expansion decision-support script built around Keltner Channels.
The script detects compressed Keltner width, evaluates whether price releases beyond the channel with enough expansion quality, scores the release from 0 to 100, and maps an expansion corridor with target rails and failure context.
It does not predict price direction, automate trading, or provide guaranteed signals. It organizes squeeze, release quality, volatility rank, direction bias, and action state into a cleaner workflow.
🎯 Purpose & Design Philosophy
Many traders can see a breakout after it happens, but the difficult part is separating real volatility expansion from a weak push outside the channel.
This script was built for traders who want a structured way to read Keltner squeeze behavior, release strength, and early failure risk.
The design supports patience during compression and cleaner observation when price finally leaves the channel.
⚡ Why This Script Is Different
Most Keltner tools draw the channel and leave interpretation to the user.
This script does NOT treat every channel break as meaningful.
Instead, it evaluates compression depth, expansion ratio, close pressure, candle body quality, relative volume, and basis slope before marking a release as READY.
⚙️ Methodology
1. Keltner Channel Mapping
2. Compression Detection
3. Release Edge Evaluation
4. Expansion Quality Scoring
5. Corridor And Failure Mapping
6. Panel And Alert Output
🗺️ How to Read the Chart
The Keltner Channel shows the active volatility envelope around price.
Compression shading marks periods where channel width is low relative to recent history.
BULL RELEASE and BEAR RELEASE labels appear when price leaves the channel with enough release quality.
The release corridor projects possible expansion space after a qualified release.
The panel summarizes Squeeze, Release Score, Volatility, Direction Bias, and Action.
🚦 Signals & States
• READY → A qualified Keltner squeeze release has formed.
• MONITOR → A release context is active and should be observed.
• WAIT → Compression may exist, but release quality is not confirmed.
• INVALIDATED → A release failed back into the channel context.
• BLOCKED → The script cannot define a valid Keltner context.
🔔 Alerts Logic
Bullish Keltner Squeeze Release Ready triggers when price releases above the upper Keltner Channel after compression with enough score quality.
Bearish Keltner Squeeze Release Ready triggers when price releases below the lower Keltner Channel after compression with enough score quality.
Keltner Compression Active triggers when channel width is low enough to qualify as squeeze context.
Keltner Squeeze Release Failed triggers when an active release loses quality and moves back into the failure area.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The release score combines compression depth, expansion ratio, close pressure beyond the channel, candle body quality, relative volume, and basis slope.
When these conditions align, the release context becomes stronger.
📊 When to Use
• Markets moving from low volatility to expansion
• Breakout environments
• Consolidation-to-trend transitions
• Intraday or swing contexts where volatility contraction matters
⚠️ When NOT to Use
• Extremely illiquid symbols
• Random high-noise chop
• News spikes with unstable spreads
• Symbols where Keltner width is distorted by abnormal candles
🎛️ Key Inputs
• Keltner Basis Length → controls the EMA basis of the channel.
• ATR Length → controls channel width and volatility normalization.
• Keltner ATR Multiplier → adjusts how wide the channel is.
• Squeeze Threshold → defines how deep compression must be.
• Minimum Ready Score → controls how selective READY releases are.
• Projection Bars → controls how far the corridor extends.
• Visual settings → control labels, channels, zones, panel, and chart density.
🖥️ Interface & Visual Design
The script uses a compact AG Pro panel to make the current state readable at a glance.
The visual hierarchy is designed to keep the chart clean: channel context first, release label second, corridor and targets third.
Default settings are tuned for readable publication screenshots without hiding the core volatility story.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether compression is active.
3. Wait for a qualified release label.
4. Review the corridor and target rails.
5. Watch whether price holds or fails back into the channel.
🔍 Interpretation Guidelines
A READY release means volatility expansion conditions aligned according to the script rules.
It does not mean price must continue.
A weak or failed release means the channel break lost quality and should be interpreted within broader market context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a buy or sell signal generator.
It is not an automated trading system.
It does not guarantee breakouts, continuation, or reversals.
⚠️ Limitations & Transparency
Keltner behavior can change across symbols, sessions, and timeframes.
Compression may last longer than expected.
Strong news events can create release signals that behave differently from normal volatility expansion.
The script should be used with broader structure, liquidity, and risk context.
🧠 Market Context Notes
Keltner squeeze behavior is most useful when volatility has contracted enough to create a visible transition point.
The best contexts often combine compression, clean channel release, participation, and enough room for expansion.
🧾 Use Case Examples
When price compresses inside the Keltner Channel and then closes beyond the upper band with strong expansion, the script may mark a bullish release.
When price breaks below the lower band after compression and the release score is strong enough, the script may mark a bearish release.
When price breaks out but quickly moves back into the channel, the release can lose quality.
🧱 System Philosophy
This script is part of the AGPro Series approach: clean visual context, practical scoring, and decision-support states instead of noisy prediction labels.
🔐 Non-Promise Statement
No script can provide certainty.
No signal should be treated as guaranteed.
All outputs are rule-based analytical markers.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and position sizing.
This script is for educational and analytical purposes only and does not provide financial advice.
📚 Educational Note
The purpose of this script is to help users study volatility compression and release behavior through a structured Keltner Channel framework.
Indicator
Weekly Range Break Planner [AGPro Series]# Weekly Range Break Planner
🧠 Core Idea
Is the weekly range break strong enough to monitor, or is price likely to fail back inside the range?
📌 Overview / What it does
Weekly Range Break Planner is a weekly range decision-support script built to evaluate whether price is breaking beyond the previous week's high or low with enough structural quality.
The script maps the previous weekly high, low, and midpoint, detects bullish or bearish breaks, builds a retest shelf around the broken boundary, scores the break from 0 to 100, and summarizes the current state inside a compact AG Pro panel.
It does not predict price direction, automate trades, or provide guaranteed signals. It is designed to organize weekly range context, break quality, retest behavior, target room, and invalidation risk into a clean visual workflow.
🎯 Purpose & Design Philosophy
Weekly highs and weekly lows are widely watched reference points, but not every break beyond them is meaningful.
This script was built for traders who want to separate a clean weekly range break from a weak expansion, failed breakout, or noisy return back into the prior range.
The design supports structured observation: range first, break quality second, retest behavior third, and action state last.
⚡ Why This Script Is Different
Most tools mark weekly highs and lows or show simple breakout signals.
This script does NOT stop at drawing weekly levels.
Instead, it evaluates what happens after price breaks the range: whether the break has enough close quality, whether the retest shelf is respected, whether target room remains, and whether the context is still valid.
⚙️ Methodology
1. Previous Weekly Range Mapping
2. Break Boundary Detection
3. Retest Shelf Construction
4. Break Quality Scoring
5. Target Room Evaluation
6. Invalidation And Expiration Handling
7. Panel And Alert Output
🗺️ How to Read the Chart
The weekly range box marks the previous week's high-low structure.
The high and low rails show the main break boundaries.
The midpoint line helps users understand where price is relative to the prior weekly balance.
The retest shelf appears around the broken boundary after a weekly range break.
READY BREAK labels appear when the break context meets the required score threshold.
Target rails show projected continuation references after a qualified break.
The panel summarizes Range State, Break Score, Retest, Room, and Action.
🚦 Signals & States
• READY → A qualified weekly range break has formed.
• MONITOR → Price has broken a weekly boundary and the script is evaluating quality.
• WAIT → The previous weekly range is valid, but no active break context is present.
• INVALIDATED → Price failed back inside the weekly range after a break.
• EXPIRED → The break window closed without a qualified context.
• BLOCKED → The previous weekly range is not suitable for evaluation.
🔔 Alerts Logic
Bullish Weekly Range Break Ready triggers when price breaks above the previous weekly high with enough quality.
Bearish Weekly Range Break Ready triggers when price breaks below the previous weekly low with enough quality.
Weekly Range Break Invalidated triggers when price fails back inside the prior weekly range after a break.
Weekly Range Break Expired triggers when the evaluation window closes without a qualified break state.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The break score combines weekly range fit, close distance beyond the boundary, retest shelf behavior, time quality, relative volume, and available target room.
When these elements align, the context becomes stronger.
When they do not align, the script remains in WAIT, MONITOR, INVALIDATED, EXPIRED, or BLOCKED state.
📊 When to Use
• Weekly high and weekly low break analysis
• Breakout-retest workflows
• Intraday monitoring around prior weekly extremes
• Swing context planning
• Trend continuation after a range expansion
⚠️ When NOT to Use
Avoid relying on this script in extremely low-liquidity markets, very noisy symbols, holiday sessions, or conditions where the previous weekly range is not meaningful.
It should not be used as a standalone decision tool without broader market context, risk planning, and independent confirmation.
🎛️ Key Inputs
• Minimum Weekly Range filters weak or compressed prior weekly ranges.
• Break Buffer ATR controls how far price must close beyond the weekly boundary.
• Retest Shelf ATR controls the depth of the shelf around the broken boundary.
• Invalidation Buffer ATR controls how far price must close back inside the range before invalidation.
• Minimum Ready Score controls how strong the score must be before READY appears.
• Target inputs define continuation reference rails from the broken boundary.
• Visual settings control boxes, rails, labels, right-side tags, panel location, and font size.
🖥️ Interface & Visual Design
The interface is designed to make the weekly range context readable at a glance.
The chart shows the prior weekly range, the active break boundary, the retest shelf, and target-room references without turning the screen into a generic breakout overlay.
The AG Pro panel gives compact decision context while preserving chart visibility.
🧪 Practical Usage Workflow
1. Check whether the previous weekly range is valid.
2. Watch for a close beyond the weekly high or low.
3. Observe the retest shelf around the broken boundary.
4. Read the break score, retest state, and room value.
5. Treat READY as an attention state and confirm with broader market context.
🔍 Interpretation Guidelines
A higher break score means the weekly range break is cleaner according to the script logic.
A clean retest shelf response can strengthen the context.
Low remaining room means the move may already be extended relative to the projected target.
READY means the context deserves attention, not that price must continue.
🚫 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.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Weekly range behavior changes across markets, timeframes, volatility regimes, and liquidity conditions.
The score is rule-based and depends on current chart timeframe, ATR normalization, volume behavior, and the previous weekly range.
Different symbols may require different sensitivity settings.
🧠 Market Context Notes
Weekly range breaks can be more meaningful when aligned with trend, liquidity response, volume participation, and clean retest behavior.
Breaks that quickly return inside the prior weekly range often need extra caution.
🔐 Non-Promise Statement
No script can guarantee future price behavior.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions.
This script is for educational and analytical purposes only and does not provide financial advice or guaranteed trading outcomes.
Indicator
Gap Reclaim Readiness [AGPro Series]# Gap Reclaim Readiness
🧠 Core Idea
Can price reclaim a gap edge with enough acceptance to make the structure worth monitoring?
📌 Overview / What it does
Gap Reclaim Readiness is a chart-first gap edge decision-support script built to evaluate whether price has returned to a gap boundary and reclaimed it with enough structural quality.
The script maps active gap zones, identifies the reclaim edge, builds a focused reclaim pocket, scores the reclaim from 0 to 100, and summarizes the current state inside a compact AG Pro panel.
It does not predict price direction, automate trades, or provide guaranteed signals. It is designed to organize gap-edge context, reclaim quality, fill risk, and continuation state into a clean visual workflow.
🎯 Purpose & Design Philosophy
Many gap tools focus only on whether a gap exists or whether it has been filled.
This script was built for the more practical question: after a gap forms, does price respect and reclaim the edge strongly enough to deserve attention?
It helps traders who use price action, gap reactions, continuation structure, and intraday context, while supporting a patient decision-making process instead of impulsive reaction.
⚡ Why This Script Is Different
Most tools focus on detecting gaps or tracking gap fill.
This script does NOT behave like a generic gap fill tracker.
Instead, it focuses on the reclaim edge: whether price returns to the boundary, accepts it, loses it, or fails to develop a clean reclaim context.
⚙️ Methodology
1. Gap Context Detection
2. Reclaim Edge Mapping
3. Reclaim Pocket Construction
4. Reaction And Acceptance Evaluation
5. 0-100 Reclaim Score
6. Fill Risk And Continuation State
7. Visual Output And Panel Summary
🗺️ How to Read the Chart
The gap zone marks the structural area created by a qualifying gap or displacement-style gap event.
The reclaim edge marks the key boundary price must respect to form a valid reclaim context.
The reclaim pocket highlights the area around the edge where reaction quality is evaluated.
READY RECLAIM labels appear when the reclaim context meets the required score threshold.
Target rails show projected continuation references after a qualified reclaim.
The panel summarizes Gap Edge, Reclaim Score, Fill Risk, Continuation, and Action.
🚦 Signals & States
• READY → A qualified gap edge reclaim has formed.
• MONITOR → A gap structure exists and the script is watching for reclaim behavior.
• WAIT → No active reclaim context is currently valid.
• INVALIDATED → Price failed back through the reclaim edge.
• EXPIRED → The reclaim window closed without a qualified reclaim.
🔔 Alerts Logic
Bullish Gap Reclaim Ready triggers when price reclaims a bullish gap edge with enough score.
Bearish Gap Reclaim Ready triggers when price reclaims a bearish gap edge with enough score.
Gap Reclaim Invalidated triggers when price fails back through the reclaim edge.
Gap Reclaim Expired triggers when the reclaim window closes without a qualified reclaim.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The reclaim score combines edge interaction, close acceptance, time quality, relative volume, gap size, and available continuation room.
When several of these conditions align, the context becomes stronger.
When they do not align, the script remains in WAIT, MONITOR, INVALIDATED, or EXPIRED state.
📊 When to Use
• Intraday price action workflows
• Gap reaction analysis
• Breakout and reclaim structures
• Continuation after displacement
• Markets where gap edges or price void boundaries matter
⚠️ When NOT to Use
Avoid relying on this script in extremely illiquid markets, very noisy low-volume symbols, holiday sessions, or conditions where gaps and displacement structures are not meaningful.
It should also not be used as a standalone decision tool without broader market context.
🎛️ Key Inputs
• Gap Mode controls how strict the gap detection logic is.
• Minimum Gap Size filters weak structures.
• Displacement Gap Fallback helps continuous markets where classic open gaps are rare.
• Reclaim Pocket ATR controls the depth of the reclaim pocket.
• Minimum Ready Score controls how strong the reclaim must be before READY appears.
• Fill Risk Threshold controls when a reclaim context becomes too filled or exhausted.
• Visual settings control labels, zones, right-side tags, panel location, and font size.
🖥️ Interface & Visual Design
The interface is designed to keep the chart readable while making the active reclaim structure easy to understand.
The panel uses the AG Pro blue header style and summarizes the current state without covering the whole chart.
Zones, pockets, labels, and target rails are designed to show structure first and avoid unnecessary noise.
🧪 Practical Usage Workflow
1. Identify whether the panel shows an active gap edge.
2. Check the reclaim pocket and nearby price reaction.
3. Read the reclaim score and fill risk.
4. Confirm whether the action state is READY, MONITOR, WAIT, INVALIDATED, or EXPIRED.
5. Combine the output with broader structure, liquidity, trend, and risk context.
🔍 Interpretation Guidelines
A higher reclaim score means the gap edge reaction is cleaner according to the script logic.
A high fill risk means the gap context may already be too consumed.
READY means the reclaim condition deserves attention, not that price must continue.
WAIT means there is no valid active reclaim context.
🚫 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.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Gap behavior changes across markets, timeframes, liquidity conditions, and volatility regimes.
Continuous markets may create fewer classic gaps, so adaptive displacement logic is included to support broader usability.
Different symbols and timeframes may require different sensitivity settings.
🧠 Market Context Notes
Gap reclaim behavior is often stronger when aligned with trend, liquidity response, volume participation, and clean structure.
Weak reclaim attempts can fail quickly when price loses the edge or when the gap becomes fully consumed.
🔐 Non-Promise Statement
No script can guarantee future price behavior.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions.
This script is for educational and analytical purposes only and does not provide financial advice or guaranteed trading outcomes.
Indicator
Opening Range Retest Planner [AGPro Series]# Opening Range Retest Planner
## Core Idea
Did the opening range breakout return to its boundary and hold with enough quality to deserve attention?
## Overview / What It Does
Opening Range Retest Planner is an intraday opening range decision-support script built for traders who want to evaluate the quality of the first meaningful retest after an opening range breakout.
The script builds the opening range, tracks the first bullish or bearish breakout, maps a focused retest pocket around the broken boundary, grades the retest from 0 to 100, and displays a clear action state in a compact AG Pro panel.
It does not predict price direction, automate execution, or provide guaranteed outcomes. Its purpose is to organize structure, acceptance, invalidation, and retest quality in a clean visual workflow.
## Purpose & Design Philosophy
Many opening range tools focus only on the initial break. In practice, the first retest after the break is often where the structure becomes more meaningful.
This script was built for traders who want to separate a clean retest hold from a weak pullback, failed breakout, or expired setup. The design supports structured observation instead of impulsive reaction.
## Why This Script Is Different
Most opening range tools stop at the range or breakout itself.
This script does not stop there.
Instead, it focuses on what happens after the break: whether price returns to the broken boundary, respects it, fails back inside the range, or runs out of time before a qualified retest appears.
## Methodology
1. Opening Range Mapping
2. Breakout Detection
3. Retest Pocket Construction
4. Retest Quality Scoring
5. Acceptance, Invalidation, or Expiration State
6. Panel and Alert Output
## How To Read The Chart
The opening range remains the main session reference.
The retest pocket marks the area where the script evaluates whether the broken boundary is being respected or rejected.
Labels highlight qualified retests, invalidations, and key state changes.
Target rails project possible continuation space after a qualified retest.
The panel summarizes OR state, retest score, acceptance side, failure risk, and current action.
## Signals & States
READY -> A retest touched the pocket, held the broken boundary, and met the minimum quality threshold.
MONITOR -> A breakout occurred and the script is tracking whether a qualified retest develops.
WAIT -> The opening range is still building, has just locked, or is waiting for a valid post-break condition.
INVALIDATED -> Price failed back inside the opening range after the breakout.
EXPIRED -> The retest window closed without a qualified retest.
BLOCKED -> The opening range is not valid enough to evaluate.
## Alerts Logic
Bullish Opening Range Retest Ready triggers when a bullish breakout retest holds the broken range high with enough score.
Bearish Opening Range Retest Ready triggers when a bearish breakout retest holds the broken range low with enough score.
Opening Range Retest Invalidated triggers when price fails back inside the opening range after a breakout.
Opening Range Retest Expired triggers when the retest window expires without a qualified hold.
Alerts are attention markers, not trade instructions.
## Confluence Logic
The retest score combines pocket touch quality, close response, retest timing, relative volume, opening range volatility fit, and available target room.
When these conditions align, the context becomes stronger. When they do not align, the panel remains in MONITOR, WAIT, INVALIDATED, or EXPIRED state.
## When To Use
This script is most useful in liquid intraday markets where the opening range matters and session structure is clear.
It fits breakout-retest workflows, opening drive continuation, failed breakout monitoring, and structured intraday planning.
## When NOT To Use
Avoid relying on this script in very low-liquidity symbols, extremely noisy sessions, holiday trading, or chart conditions where the opening range session cannot be represented cleanly.
## Key Inputs
Opening Range Mode controls whether the script uses an exact session window or the first chart bars of each day.
Auto mode uses session-window logic on lower intraday charts and switches to first-bars-of-day logic on higher timeframes.
Retest Pocket ATR controls the depth of the retest zone around the broken boundary.
Minimum Ready Score controls how strong the 0-100 retest score must be before READY appears.
Panel and label controls let users adjust position, theme, and visual density.
## Interface & Visual Design
The visual design is chart-first.
The opening range stays readable, the active retest pocket becomes the focus area, and the panel provides compact decision context without covering the whole chart.
The first panel row uses the AG Pro blue header style and shows only the script name.
## Practical Usage Workflow
1. Wait for the opening range to lock.
2. Watch for a breakout beyond the range boundary.
3. Observe whether price returns to the retest pocket.
4. Check the retest score and action state.
5. Treat alerts as attention markers and confirm context with your broader process.
## 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 guarantee outcomes.
It does not replace independent risk management or market context.
## Limitations & Transparency
Opening range behavior changes across markets, sessions, liquidity conditions, and timeframes.
The score is rule-based and depends on the configured session, ATR normalization, volume behavior, and retest window.
Different chart timeframes may display session structure differently.
## Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions.
This script is for educational and analytical purposes only and does not provide financial advice or guaranteed trading outcomes.
Indicator
