Indicator
Price Density Clouds [EXCAVO]Continuous Kernel-Density Map of Where Price Has Actually Traded
The Price Density Clouds builds a smooth, continuous probability density of
price over a lookback window and paints it as gradient clouds directly behind
the candles. Dense, saturated clouds mark value zones - the equilibrium levels
where the market has spent the most time and where price tends to stall and
revert. Thin, transparent gaps mark inefficiency zones - levels price travels
through quickly. A dashed POC line marks the single highest-probability price,
and the Value Area High / Low bracket the core of the distribution.
This is not a bin-based volume profile. Instead of chopping price into discrete
buckets, KDE sums a smooth gaussian kernel around every price point, producing a
continuous density curve with no bin-edge artefacts. The bandwidth is set
automatically by Silverman's rule, so the smoothing adapts to the instrument's
own volatility.
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▸ HOW TO USE
Step 1 → Add the indicator. Gradient clouds appear behind the candles
over the lookback window, brightest at the highest-probability
levels and fading out toward thin zones.
Step 2 → Read the clouds. Saturated bands = value / equilibrium where
price tends to stall and mean-revert. Faint gaps = inefficiency
where price moves fast - natural travel targets.
Step 3 → Use the POC. The dashed POC line is the single most-traded
level - a robust magnet and support / resistance anchor. Price
far from POC has a statistical pull back toward it.
Step 4 → Use the Value Area. The dotted Value Area High / Low bracket
the core of the distribution (default 70%). Acceptance inside the
area is balance; rejection outside it is imbalance worth trading.
Step 5 → Check the side profile. The gradient density profile on the
right of the last bar is the same density rotated 90 degrees - a
quick read of the full distribution shape at a glance.
Step 6 → Combine with structure. Clouds are context, not direction.
They pair well with trend, sweep, and breakout tools - a breakout
into a thin zone tends to run; a breakout into a dense zone tends
to stall.
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▸ HOW IT CALCULATES
◆ Gaussian Kernel Density
Every close in the lookback window contributes a gaussian bell curve centred at
its own price. The curves are summed across the price range to produce a single
continuous density function: density(x) = sum over j of exp(-0.5 x ((x - price_j)
/ h)^2). Levels where many bars cluster get tall, overlapping kernels and a high
density; isolated levels get a low density.
◆ Silverman Bandwidth
The kernel width h controls smoothness. It is set automatically by Silverman's
rule of thumb: h = 1.06 x sigma x n^(-1/5), where sigma is the stdev of the
lookback prices and n is the sample size. The Bandwidth Multiplier input scales
this for sharper or smoother clouds. Auto-bandwidth means the same settings
adapt across instruments and timeframes.
◆ Normalisation and POC
The density is evaluated at Resolution levels between the lookback high and low,
then normalised so the peak equals 1.0. That peak level is the POC (Point of
Control) - the single highest-probability price. Cloud opacity and colour are
driven by each level's normalised density.
◆ Value Area
Starting at the POC, the algorithm expands outward, each step absorbing the
denser of the two neighbouring levels, until the enclosed density reaches the
Value Area % of the total (default 70). The price extent reached becomes the
Value Area High and Low.
◆ Gradient Rendering
Each density band of the cloud is drawn as a horizontal box tinted by a
two-colour gradient: the Low Density Color at thin levels through to the High
Density Color at the POC, with opacity ramping in parallel. Adjacent bands tile
continuously, so the cloud reads as a smooth heat-map rather than discrete
blocks. The same gradient drives the right-side density profile, whose width
per level scales with density - at the default resolution the edge reads as a
near-smooth wave while keeping the per-level gradient colour.
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▸ WHAT MAKES IT DIFFERENT
◆ Continuous Density, Not Bins
Standard volume / price profiles split price into discrete bins, so the result
depends heavily on bin size and shows hard edges. KDE produces a smooth
continuous curve - no bin-edge artefacts, no arbitrary bucket count, just the
true shape of where price has traded.
◆ Auto-Adaptive Bandwidth
Silverman's rule sizes the smoothing from the instrument's own volatility and
sample size. The clouds stay meaningful on BTC, EURUSD, gold or an index with
the same default settings.
◆ Value Structure In One View
POC, Value Area High / Low and the full density shape are all on the chart at
once, with a matching side profile - the complete market-profile read without a
separate pane or a session reset.
◆ Premium Gradient Visual
A smooth two-colour density gradient behind the candles with parallel opacity
ramp, a clean dashed POC, dotted value-area lines, and a right-side profile
histogram. The clouds sit behind price as context and never clutter the read.
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▸ DASHBOARD
Real-time panel (top right) with the current value read:
POC - price of the highest-density level
Value Area High - upper bound of the value area
Value Area Low - lower bound of the value area
Price Zone - whether price is Above Value, In Value, or Below Value
Lookback - bars used to build the distribution
Legend table (bottom left) explains every colour. Both panels toggle in the
Dashboard settings.
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▸ SETTINGS
Engine
Lookback Period - 200 (bars used to build the price distribution)
Resolution - 120 (number of horizontal density bands; higher = smoother gradient and profile edge, up to 200)
Bandwidth Multiplier - 1.0 (smoothness; 1.0 = Silverman auto, higher = broader clouds)
Value Area % - 70 (percentage of total density that defines the value area)
Visualization
Low Density Color - blue (thin / inefficiency end of the gradient)
High Density Color - orange (dense / value end of the gradient)
POC Line Color - near-white (high contrast against the dense orange cloud the POC sits in)
Min Cloud Opacity - 8 (opacity of the lowest-density band; keeps empty zones faint)
Max Cloud Opacity - 65 (opacity of the POC band)
Show POC Line - ON
Show Value Area - ON (dotted Value Area High / Low lines)
Value Area Highlight - ON (boosts band opacity inside the value area so the 70% core pops)
Show Side Profile - ON
Profile Outline - ON (thin bright line tracing the right edge of the profile for a crisp silhouette)
Cloud Forward Extend - 10 (bars the clouds extend right of the last bar)
Dashboard
Show Dashboard - ON
Dashboard Position - Top Right
Show Legend - ON
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Best regards,
EXCAVO
Disclaimer
Trading involves significant risk. This indicator is a technical analysis tool
and does not constitute financial advice, investment recommendations, or a
guarantee of future results. Past indicator behavior does not guarantee future
performance. Always use proper risk management and your own judgment.
Indicator
Ichimoku Regime ClassifierIchimoku Regime Classifier is an open-source market regime filter that labels conditions as TREND UP, TREND DOWN, or VOLATILE.
This script is designed to solve a practical problem: many entries fail because traders apply the same setup in all environments.
Its purpose is to classify the current market context first, so strategy rules can be adapted to regime.
Methodology
The classifier uses Daily Ichimoku structure plus ADX trend-strength confirmation:
Bullish regime:
Price above the Kumo
ADX above threshold
Tenkan above Kijun
Chikou-style confirmation (current price vs past price)
Bearish regime:
Price below the Kumo
ADX above threshold
Tenkan below Kijun
Opposite Chikou-style confirmation
Volatile regime:
If neither bullish nor bearish set is fully confirmed
Why this combination
Ichimoku provides structural trend context, while ADX filters weak directional phases.
The combination aims to reduce false directional bias during choppy periods and keep regime logic explicit.
How to use
TREND UP: prioritize long-biased setups
TREND DOWN: prioritize short-biased setups
VOLATILE: reduce risk, be selective, or wait for structure
This indicator is intentionally minimal on-chart (single regime label) to keep output readable and unambiguous.
Limitations
Regime transitions can lag, especially after sharp reversals.
This tool is a context filter, not a standalone entry/exit system.
Open-source notice
Published as open source for transparency, review, and customization.
Educational content only. Not financial advice. Indicator
Custom Session Boundaries with Timezone SupportThis indicator draws two clean vertical lines on your chart — one marking the start of your selected trading session and one marking the end. No clutter, no extra lines between them. Just the two boundaries you care about.
It is designed for traders who want a clear visual reference of their session window directly on the chart, regardless of the timezone their broker or exchange uses.
Features:
Select your Start Hour and End Hour independently (0–23 format)
Full timezone support: UTC, New York, Chicago, London, Berlin, Bucharest, Tokyo, Singapore, Sydney
Separate color control for the start and end line
Choose between Solid, Dashed, or Dotted line style
Adjustable line width (1–4)
Works on all timeframes and all instruments
How to use:
Set your desired session start and end hour in the timezone that matches your setup. The indicator will place one vertical line at the opening of the start hour and one at the opening of the end hour, across your entire chart history.
Works well for marking sessions such as London Open, New York Open, Asian Session, or any custom time window relevant to your strategy. Indicator
Elaris Session Strength Indicator## Elaris Session Breakout Pro
Elaris Session Breakout Pro is a clean and professional session-based trading indicator designed to help traders identify high-probability breakout opportunities during key market sessions such as London and New York.
The indicator automatically tracks the opening range of the selected session and highlights breakout confirmations when price closes above or below the defined session range. This allows traders to quickly spot momentum expansion, liquidity-driven moves, and potential intraday trend continuation setups without manually drawing levels.
Built with a strong focus on clarity, usability, and real-time decision support, the indicator is optimized for scalpers, day traders, and momentum traders across crypto, forex, and index markets.
### Key Features
• Automatic session opening range detection
• Dynamic breakout signals for bullish and bearish moves
• Non-repainting breakout confirmations
• Clean chart visualization with minimal clutter
• Configurable session timings and breakout logic
• Visual breakout labels and session range plotting
• Suitable for crypto, forex, and traditional markets
• Optimized for lower timeframes and intraday trading
### How It Works
The indicator monitors the first candle or opening range of the selected trading session. When price successfully closes above the session high, a bullish breakout signal is generated. When price closes below the session low, a bearish breakout signal is generated.
This approach helps traders identify moments where liquidity and volatility expand during active market hours, often leading to strong directional movement.
### Best Use Cases
• London session breakout trading
• New York open momentum trades
• Crypto volatility expansion setups
• Intraday trend continuation strategies
• Liquidity and range breakout confirmation
### Notes
Like all trading indicators, this tool should be used as part of a complete trading plan with proper risk management and confirmation techniques. Market conditions can vary, and no indicator guarantees profitability or a 100% win rate.
PulseWire session concepts referenced in this script are based on PulseWire’s official Pine Script session documentation.
Indicator
Indicator
Macro Market Health IndexThis comprehensive indicator, Macro Market Health and Dynamic Regime Scoring, is a multi-asset "Risk-ON / Risk-OFF" framework designed to quantify market health by analyzing six specialized macro pillars. Unlike static indicators, this tool features an adaptive weighting engine that calibrates the importance of each macro block based on its real-time relationship with the specific asset currently on your chart
.
The Six Pillars of Market Health
The indicator processes raw data through six "Blocks," each utilizing specific mathematical models to score health from 0 to 1
:
Risk Block (Sentiment): Monitors the VIX (normalized against a baseline of 22), Gold, and the USD/JPY "Carry Trade"
. It calculates a blend of absolute levels (distance from the 200-day EMA) and momentum (9-day ROC of the 21-day EMA) to detect capital flight into safe havens
.
Breadth Block (Internal Strength): Uses the S5FI (S&P 500 stocks above their 50-day EMA) and the SPX/RSP Spread
. If the standard S&P 500 is significantly outperforming the equal-weighted version, it signals poor "under the hood" participation
.
Equity Block (Momentum & Volume): Analyzes the S&P 500 using a Gaussian "Sweet Spot" model
. It scores the trend highest when the price is in a healthy range above the 200-day EMA, while also penalizing the score if relative volume trends (21-day vs 251-day EMA) show exhaustion
.
Crypto Block (Risk Appetite): Serves as a high-beta proxy by measuring Bitcoin's distance from its 50, 100, and 200-day EMAs
. These are weighted (45% for 50-day, 32% for 100-day, 23% for 200-day) to capture multi-timeframe risk sentiment
.
Growth Block (Economic Context): Tracks Crude Oil and its 50-day correlation to equities
. It identifies whether energy prices are acting as a growth driver or a risk-off inflationary headwind
.
Credit Block (Fixed Income): Monitors the HYG (High Yield Corporate Bonds) as a leading indicator of credit stress
. It evaluates both the trend level and the rate of change in corporate bond demand
.
Advanced Mathematical Components
To ensure all data is comparable, the script employs several core math engines:
Sigmoid Normalization: Squashes all outputs into a standard 0 to 1 range for easy comparison
.
Z-Score Sigmoids: Normalizes volatility and momentum by measuring how many standard deviations a value is from its mean
.
Gaussian Probability: Uses a bell-curve distribution to score the "Equity Block," rewarding trends that stay within a specific volatility-adjusted distance from the mean
.
Distance/ATR Scaling: All price distances from moving averages are divided by the ATR (Average True Range) to ensure the scores are relative to current market volatility
.
Data-Driven Weighting: Tailored to YOUR Asset
The standout feature is the Weight Engine, which rejects the "one-size-fits-all" approach. It calculates weights against the specific ticker (hlc3) on your chart
:
Asset Correlation: The indicator measures the real-time statistical correlation between each macro block and the specific stock you are trading
. If your stock starts moving in lockstep with Credit or Crypto, those blocks are automatically given more weight
.
Dynamic Volatility Scaling: It calculates the ratio of a block's volatility (CV) to your stock's volatility (CV) to dynamically adjust the lookback period (between 50 and 300 bars)
Adaptive Lookback Engine: The index uses the Coefficient of Variation (CV) (StandardDeviation/Mean) to compare macro environment volatility against your stock's volatility
. This ratio automatically scales the lookback window between 50 bars (for high-volatility responsiveness) and 300 bars (for stable trend smoothing)
.
Weighting & Analytics: Final weights blend asset-specific correlation with Inverse Volatility (1/SD) to prioritize correlated, stable, low-noise signals
.
Signals and Predictive Analytics
Trade Status Overlay: Provides a definitive "TRADE" (Score > 0.58) or "NO TRADE" (Score < 0.45) signal
.
Regime Classification: Categorizes the market into BULL MARKET, EARLY BULL, NEUTRAL, or RISK OFF
.
Swing Probability: Uses a Gaussian Survival Model to estimate the conditional probability that a "Risk-ON" or "Risk-Off" (current identified) regime will last for a user-defined "Swing Duration" (e.g., the next 21 bars)
.
Reliability Index: Based on the number of historical samples collected for that specific asset, it labels the probability data as Adequate, Marginal, or Low
. Indicator
Elaris FVG Inversion ProElaris FVG Inversion Pro
Advanced Fair Value Gap & Inversion Mapping System
Elaris FVG Inversion Pro is a professional-grade market structure and imbalance visualization tool designed to help traders identify fair value gaps (FVGs), inversion fair value gaps (IFVGs), and potential reaction zones directly on the chart.
The indicator focuses on price inefficiencies created by aggressive directional movement and highlights areas where price may revisit, react, continue, or reverse.
Instead of displaying excessive noise, the system uses smart filtering logic, mitigation tracking, and optional trend confirmation to provide a cleaner and more structured view of market imbalance behavior.
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Core Features
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• Bullish & Bearish Fair Value Gap Detection
Automatically identifies three-candle imbalance structures in real time.
• Inversion Fair Value Gaps (IFVG)
Detects when previously established imbalance zones transition into potential reversal zones after invalidation.
• Non-Repainting Confirmed Detection
Signals and zones can be confirmed only after candle close to maintain stable historical plotting.
• Smart Gap Filtering
Optional ATR, volume, and EMA trend filters help reduce low-quality or insignificant zones.
• Dynamic Zone Management
Zones automatically extend forward and can be configured to expire or hide after mitigation.
• Mitigation Tracking
Supports multiple mitigation models including:
* Proximal
* Midpoint (50%)
* Distal
• Quality Scoring System
Each zone is evaluated using volatility and structure-based conditions to help prioritize stronger imbalances.
• Dark & Light Mode Compatible
Designed for clean visibility across different PulseWire chart themes.
• Professional Dashboard
Displays active bullish, bearish, and inversion zones along with trend-state information.
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How It Works
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Bullish FVG:
Forms when price leaves an upside imbalance between candles, potentially creating a future demand area.
Bearish FVG:
Forms when price leaves a downside imbalance, potentially acting as future supply.
IFVG:
Occurs when price invalidates an existing FVG and the zone transitions into a potential reversal area.
The indicator can be used for:
* Trend continuation setups
* Pullback entries
* Liquidity-based reactions
* Market structure analysis
* Confluence with support/resistance or liquidity concepts
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Best Practices
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Higher timeframe FVGs generally produce stronger reactions than lower timeframe gaps.
Using the optional EMA and volume filters may help improve signal quality during volatile or choppy market conditions.
For confirmation-based trading approaches, combine FVG reactions with structure breaks, momentum shifts, or liquidity sweeps.
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Notes
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This indicator is intended for technical analysis and educational purposes.
No indicator guarantees future performance, and traders should always apply proper risk management and independent confirmation before making trading decisions.
Indicator
Cross Exchange Premium Drift Map [AGPro Series]Cross Exchange Premium Drift Map
🧠 Core Idea
Is the active crypto venue drifting away from the exchange basket, or is the market staying aligned across venues?
📌 Overview / What it does
Cross Exchange Premium Drift Map is a crypto market structure tool designed to compare the active chart against a configurable basket of exchange reference symbols.
Instead of reading only the local chart, the script builds a venue basket from multiple exchange feeds and measures whether the active venue is trading at a premium, discount, or neutral alignment versus that basket.
It produces a premium drift path, a dispersion path, a right-side venue premium stack, event labels, strongest/weakest venue context, and a compact panel. It does not predict price direction, automate trading, or claim that a premium will close immediately.
🎯 Purpose & Design Philosophy
This script was built to fill a specific gap in crypto analysis: many traders look at one exchange chart and assume that chart represents the whole market.
Crypto is fragmented across venues. Premiums, discounts, and venue dispersion can appear before important shifts in liquidity, risk appetite, or execution quality.
The purpose of this tool is to make that fragmentation visible in a structured, readable, and non-predictive way.
⚡ Why This Script Is Different
Most tools focus on the active chart alone, or compare futures against spot using a basis model.
This script does NOT operate as a funding, carry, open interest, or perp-versus-spot basis indicator.
Instead, it compares the active venue against a configurable cross-exchange reference basket, then maps premium drift, venue dispersion, strongest venue, weakest venue, and alignment quality into a dedicated visual workflow.
⚙️ Methodology
1. Venue Basket Construction
The script requests multiple user-defined exchange symbols and builds an average reference basket from available venue prices.
2. Premium Drift Detection
The active chart is compared against the venue basket to calculate premium or discount.
3. Dispersion Evaluation
The script measures how far individual venues are spread around the basket.
4. State Classification
Premium, discount, spread expansion, spread compression, and exchange alignment are converted into readable states.
5. Visual Output
The chart displays premium paths, event labels, a right-side venue stack, and a panel summary.
🗺️ How to Read the Chart
The premium drift path shows how the active chart behaves relative to the venue basket.
The dispersion path shows whether exchange prices are widening away from each other or compressing toward alignment.
The right-side venue stack shows the current premium/discount context, basket drift, dispersion, strongest venue, and weakest venue.
Labels mark meaningful changes such as Venue Premium, Venue Discount, Spread Expansion, and Exchange Alignment.
The panel summarizes state, score, premium, drift z-score, velocity, dispersion, direction, grade, and venue count.
🚦 Signals & States
• Venue Premium → the active chart trades meaningfully above the exchange basket
• Venue Discount → the active chart trades meaningfully below the exchange basket
• Spread Expansion → venue dispersion is widening
• Spread Compression → venue prices are moving closer together
• Exchange Alignment → venues are compressed and the active chart is near the basket
• Check Venue Set → selected symbols may not represent the same asset or may be mismatched
🔔 Alerts Logic
Alerts trigger when the script detects a fresh state transition into a meaningful venue condition.
Venue Premium alerts mark active-chart premium pressure versus the basket.
Venue Discount alerts mark active-chart discount pressure versus the basket.
Spread Expansion alerts mark widening cross-exchange dispersion.
Exchange Alignment alerts mark compression toward venue agreement.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest readings occur when premium drift, drift z-score, velocity, dispersion, and persistence align.
When these conditions align, the venue message becomes more meaningful, but it still remains context rather than a prediction.
📊 When to Use
• Crypto spot charts with active multi-exchange liquidity
• BTC, ETH, and major liquid altcoin pairs
• Periods where venue premium, discount, or spread quality matters
• Market structure review before interpreting local price action
• Cross-exchange monitoring during volatile sessions
⚠️ When NOT to Use
• Illiquid symbols with unreliable venue references
• Symbols where the basket does not match the active chart asset
• Extremely noisy low-timeframe conditions
• Markets where one or more venue feeds are missing or stale
• Situations where the user expects guaranteed arbitrage signals
🎛️ Key Inputs
• Venue Symbols → define the exchange reference basket
• Venue Labels → control the short exchange names shown in the visual stack
• Premium Threshold → controls when active-chart premium or discount becomes relevant
• Dispersion Threshold → controls when cross-exchange spread widening matters
• Premium Baseline Length → controls the drift baseline
• Premium Z-Score Length → controls normalization
• Visual Settings → control panel, labels, paths, and venue stack display
🖥️ Interface & Visual Design
The interface is built for quick market reading.
The panel provides compact state information.
The premium stack shows the current venue relationship without using pale or white primary visuals, preserving readability on both dark and light chart backgrounds.
Labels are designed to be visible, premium, and not buried inside candles.
🧪 Practical Usage Workflow
1. Confirm that the venue symbols match the active chart asset.
2. Read the panel state and score.
3. Check whether the active chart is premium, discount, aligned, or mismatched.
4. Inspect the strongest and weakest venue labels.
5. Use the premium and dispersion paths to understand whether the relationship is widening or normalizing.
🔍 Interpretation Guidelines
A venue premium does not automatically mean price must fall.
A venue discount does not automatically mean price must rise.
Spread expansion means exchange prices are becoming less aligned.
Exchange alignment means the active venue is closer to the basket.
The script should be read as market context, not as a buy or sell system.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an arbitrage execution tool.
It is not an auto-trading system.
It does not guarantee that premiums, discounts, or spreads will normalize.
⚠️ Limitations & Transparency
Cross-exchange readings depend on symbol quality, venue availability, quote currency differences, and PulseWire data access.
USD and USDT references may behave slightly differently.
Low-liquidity assets can produce unstable readings.
Timeframe differences and exchange data behavior can affect how states appear.
🧠 Market Context Notes
Crypto markets are fragmented.
The same asset can trade differently across exchanges because of liquidity, regional flow, quote currency differences, venue-specific demand, and execution conditions.
This script attempts to make that fragmentation easier to see.
🧾 Use Case Examples
When the active chart trades above the basket while dispersion expands, the market may be showing venue-specific premium pressure.
When the active chart trades below the basket while dispersion expands, the market may be showing local venue weakness.
When premium and dispersion compress together, the market may be returning toward exchange alignment.
🧱 System Philosophy
Cross Exchange Premium Drift Map follows the AGProLabs design principle of building decision-support maps rather than prediction tools.
The goal is to improve context, visual structure, and trader awareness.
🔐 Non-Promise Statement
No signal in this script guarantees a future price move.
No premium or discount reading guarantees convergence.
All outputs require broader market interpretation.
📉 Risk Disclosure
Trading involves risk.
Users are fully responsible for their own decisions.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
This tool is designed for educational and analytical use. It helps traders study cross-exchange price behavior, venue alignment, and premium drift as part of a broader market structure workflow.
Indicator
Crypto Beta Leadership Ladder [AGPro Series]Crypto Beta Leadership Ladder
🧠 Core Idea
When crypto risk appetite changes, who is actually leading the move: BTC, ETH, broad alt beta, or the active chart itself?
📌 Overview / What it does
Crypto Beta Leadership Ladder is a market leadership and relative beta map for crypto traders.
The script compares BTC, ETH, broad altcoin market-cap behavior, high-beta altcoin breadth, BTC dominance, ETH dominance, and the active chart into a single leadership framework.
It produces a right-side leadership ladder, a live leadership path, selective transition labels, optional compact markers, and an AG Pro dashboard panel. It does not predict price, automate trades, or tell users what to buy or sell.
🎯 Purpose & Design Philosophy
This script was built to solve a common crypto-market problem: price may move, but leadership often rotates underneath the move.
Sometimes BTC is leading defensively. Sometimes ETH begins to participate. Sometimes broad alt beta expands. Sometimes the active chart is outperforming the market. These are different market conditions, and they should not be interpreted the same way.
The goal is to help traders read crypto leadership quality instead of reacting only to candle direction.
⚡ Why This Script Is Different
Most tools focus on one symbol, one moving average, one dominance chart, or one relative-strength line.
This script does NOT draw liquidation zones, funding stress maps, stablecoin liquidity pulses, basis corridors, or open-interest commitment zones.
Instead, it builds a leadership ladder from multiple crypto-market proxies and ranks BTC, ETH, alt beta, and chart beta as a live market hierarchy.
⚙️ Methodology
1. Context Detection
The script reads BTC, ETH, TOTAL2, TOTAL3, BTC dominance, and ETH dominance sources.
2. Relative Beta Mapping
It compares performance, dominance change, chart beta versus BTC, and altcoin breadth versus BTC.
3. Leadership Ranking
BTC, ETH, ALT, and CHART scores are ranked into a leadership stack. The gap between the first and second rank controls whether leadership is clear or split.
4. Visual Output
The script displays a right-side rank ladder, a leadership path, selective event labels, optional rank markers, and a compact dashboard.
🗺️ How to Read the Chart
The top ladder rail shows the current leadership rank.
The middle rail shows the second rank and whether leadership is close or split.
The lower rail shows the third rank and the active beta spread context.
The leadership path moves with the market and changes color by active leadership state.
Event labels highlight major transitions such as BTC Shield Lead, ETH Leadership, Alt Beta Lead, Chart Beta Expansion, or Split Leadership.
The panel summarizes leader, score, edge, BTC relative change, ETH relative change, alt beta, chart beta, dominance shift, persistence, state, and grade.
🚦 Signals & States
• BTC Leadership → BTC is leading defensively versus the broader crypto market
• ETH Leadership → ETH participation is stronger than BTC and broad alt context
• Alt Beta Lead → high-beta altcoin breadth is leading the crypto market
• Chart Beta Expansion → the active chart is outperforming BTC with expanding beta
• Split Leadership → leadership is mixed and no single group has clear control
• Balanced Leadership → leadership is present but not strong enough to be dominant
• Data Missing → one or more reference sources are unavailable
🔔 Alerts Logic
Alerts can be enabled for BTC Leadership, ETH Leadership, Alt Beta Leadership, Chart Beta Expansion, and Split Leadership.
Alerts trigger when the relevant state becomes active and the leadership state changes.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The ladder becomes more meaningful when rank edge, dominance shift, chart trend, and persistence align.
For example, an Alt Beta Lead state with positive chart beta and falling BTC dominance suggests a stronger risk-on leadership environment than a single isolated altcoin move.
📊 When to Use
• Crypto market rotation analysis
• BTC versus altcoin leadership checks
• ETH participation monitoring
• Altcoin beta expansion environments
• Market regime comparison across timeframes
⚠️ When NOT to Use
• Symbols with poor liquidity
• Very low timeframes with noisy dominance behavior
• Markets where reference symbols are unavailable
• During extreme news shocks without broader context
🎛️ Key Inputs
• Leadership Momentum Length → controls the main comparison window
• Leadership Baseline Length → controls slower leadership context
• Leadership Edge Threshold → controls how strong rank separation must be
• Beta Expansion Threshold → controls chart outperformance sensitivity
• Ladder Projection Bars → controls right-side ladder length
• Label Font Size / Panel Font Size → controls visual readability
🖥️ Interface & Visual Design
The interface is designed as a leadership stack rather than a zone map.
The ladder avoids white or pale-gray primary visuals so it remains visible on both dark and light chart backgrounds.
The panel uses the AG Pro blue header with a single merged title row and a compact information hierarchy.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check which asset group leads the ladder.
3. Compare edge and persistence.
4. Read the leadership path color.
5. Use event labels as attention markers, not trade signals.
🔍 Interpretation Guidelines
Clear leadership means one group is controlling relative market behavior.
Split leadership means the market may be rotating, pausing, or lacking conviction.
Chart Beta Expansion means the active symbol is outperforming BTC, but it still requires broader confirmation.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not a financial-advice tool.
It is not an automated trading system.
It does not guarantee that leadership will continue.
It does not replace risk management or broader market analysis.
⚠️ Limitations & Transparency
Reference-symbol availability may vary by exchange, region, and PulseWire data feed.
Dominance data may behave differently from exchange-traded pairs on lower timeframes.
Leadership can rotate quickly during volatile crypto sessions.
Different timeframes may show different leadership states.
🧠 Market Context Notes
BTC leadership often reflects defensive crypto behavior.
ETH leadership can suggest higher participation in major smart-contract assets.
Alt beta leadership can suggest broader risk appetite, but it may also be more volatile.
Split leadership often appears during transitions, pauses, or uncertain market regimes.
🧾 Use Case Examples
When BTC leads while BTC dominance rises, the market may be defensive even if price is moving.
When alt beta leads while BTC dominance falls, broader risk appetite may be improving.
When the active chart expands versus BTC while rank edge improves, that symbol may deserve closer attention.
🧱 System Philosophy
Crypto markets are not led by one chart all the time.
This script treats leadership as a rotating hierarchy and visualizes that hierarchy directly on the chart.
🔐 Non-Promise Statement
No script can guarantee future price behavior.
This tool maps leadership context; it does not provide certainty.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions.
This script is provided for educational and analytical purposes only and does not constitute financial advice.
📚 Educational Note
Use the ladder to study how crypto leadership rotates between BTC, ETH, alt beta, and the active chart across different market regimes.
Indicator
Stablecoin Liquidity Pulse Map [AGPro Series]Stablecoin Liquidity Pulse Map
🧠 Core Idea
Is stablecoin liquidity expanding into the market, parking defensively on the sidelines, or drying up before risk appetite weakens?
📌 Overview / What it does
Stablecoin Liquidity Pulse Map is a crypto market-context tool that maps stablecoin liquidity flow, stablecoin dominance pressure, and risk-appetite behavior into a clean visual pulse framework.
The script reads USDT and USDC market-cap sources, optionally includes DAI, compares stablecoin flow against broader crypto market-cap context, and converts those inputs into liquidity pulse states.
It produces a right-side liquidity pulse ribbon, pulse tracks, selective event labels, optional compact markers, and an AG Pro dashboard panel. It does not predict price, automate trades, or claim that stablecoin growth must immediately create a bullish market.
🎯 Purpose & Design Philosophy
Stablecoins are one of the most important liquidity layers in crypto.
When stablecoin supply expands, capital may be entering or preparing to rotate. When stablecoin dominance rises while price weakens, capital may be parking defensively. When stablecoin flow contracts, risk liquidity can become thinner.
This script was built to turn that macro liquidity layer into a practical chart-reading tool without pretending that liquidity alone is a complete trading system.
⚡ Why This Script Is Different
Most tools focus on price, trend, volatility, or exchange-specific derivatives data.
This script does NOT focus on funding, open interest, basis, leverage reset, liquidation levels, or ordinary trend signals.
Instead, it studies the stablecoin liquidity layer behind the market. It asks whether stablecoin flow, dominance pressure, and price behavior are aligned with expansion, defensive parking, dry liquidity, or early rotation.
⚙️ Methodology
1. Stablecoin Flow Detection
The script reads USDT and USDC market-cap data, with optional DAI inclusion.
2. Dominance Pressure Mapping
It compares stablecoin value against total crypto market-cap context when available.
3. Risk-Appetite Evaluation
It evaluates whether price is behaving constructively or defensively relative to a baseline.
4. Pulse Classification
The script combines flow, velocity, dominance pressure, parking risk, dry-liquidity behavior, and rotation context into a single liquidity pulse state.
🗺️ How to Read the Chart
The right-side pulse ribbon is the main visual object.
The center ribbon shows the active liquidity pulse state.
The upper ribbon tracks stablecoin flow and expansion pressure.
The lower ribbon helps identify parking or dry-liquidity pressure.
The vertical needle shows where the current pulse sits inside the active liquidity range.
Event labels identify important state changes such as Liquidity Inflow, Risk-Off Parking, Dry Liquidity, or Rotation Ready.
The panel summarizes state, pulse, stable flow, velocity, dominance, dominance change, direction, grade, risk parking, dry score, and data-source availability.
🚦 Signals & States
• Liquidity Expansion → stablecoin flow is improving while dominance pressure is not defensive
• Risk-Off Parking → stablecoin dominance pressure is rising while market appetite weakens
• Dry Liquidity → stablecoin flow is contracting and liquidity conditions may be thinner
• Rotation Ready → stablecoin flow improves while market behavior begins to recover
• Neutral Pulse → no strong stablecoin liquidity state is active
• Data Missing → selected stablecoin sources are unavailable
🔔 Alerts Logic
Alerts can be enabled for Liquidity Expansion, Risk-Off Parking, Dry Liquidity, and Rotation Ready.
Each alert triggers when the selected state becomes active. Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The strongest reads happen when stablecoin flow, velocity, dominance behavior, and price context align.
For example, rising stablecoin flow with falling defensive dominance pressure can support a constructive liquidity read.
Rising stablecoin dominance while price weakens can suggest defensive parking rather than active risk appetite.
📊 When to Use
• Crypto market-cycle analysis
• BTC and ETH context checks
• Stablecoin liquidity monitoring
• Risk-on / risk-off environment review
• Macro crypto liquidity dashboards
• 1D and 1W chart analysis
⚠️ When NOT to Use
• Very low liquidity altcoins as the only decision source
• Symbols where stablecoin market-cap data does not load
• Extremely noisy intraday charts
• Situations requiring exact exchange order flow
• Any workflow that expects a standalone buy/sell signal
🎛️ Key Inputs
• USDT Market Cap Symbol → primary stablecoin source
• USDC Market Cap Symbol → secondary stablecoin source
• Include DAI Source → optional additional stablecoin component
• Total Crypto Market Cap Symbol → used for dominance pressure
• Liquidity Flow Length → controls stablecoin flow measurement
• Pulse Baseline Length → controls slower liquidity and trend context
• Inflow / Outflow Thresholds → control state sensitivity
• Dominance Pressure Threshold → controls risk-off parking sensitivity
• Visual settings → control ribbon, event labels, tracks, markers, panel, and font sizes
🖥️ Interface & Visual Design
The design is intentionally different from derivatives-focused maps.
It avoids large projected zones, liquidation paths, reset ladders, and basis meters.
The right-side pulse ribbon keeps the visual focused on liquidity context rather than exact price levels. Colors remain visible on both dark and white chart backgrounds, and the panel follows the AG Pro merged-header format.
🧪 Practical Usage Workflow
1. Read the panel state first.
2. Confirm USDT and USDC sources are active.
3. Check stable flow and dominance change.
4. Review the right-side pulse ribbon.
5. Compare the state with price structure and broader market trend.
6. Use alerts as attention markers, not trade instructions.
🔍 Interpretation Guidelines
Liquidity Expansion does not guarantee upside.
Risk-Off Parking does not guarantee downside.
Dry Liquidity does not guarantee immediate volatility.
Rotation Ready means conditions are improving, not that a rotation must occur.
Use the script as a market-context layer alongside structure, trend, volatility, and disciplined risk management.
🚫 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 is not an exact order-flow tool.
It does not guarantee market direction.
⚠️ Limitations & Transparency
Stablecoin market-cap symbols depend on PulseWire data availability.
Total crypto market-cap data may not be available in every environment.
Stablecoin supply changes can lag market behavior.
Different timeframes can produce different interpretations.
Extreme events, exchange stress, depegs, or abnormal data conditions can affect readings.
🧠 Market Context Notes
Stablecoin liquidity is not automatically bullish or bearish.
The meaning depends on context. Stablecoins can represent incoming buying power, defensive parking, cash rotation, or liquidity withdrawal.
This script focuses on interpreting that context more clearly.
🧾 Use Case Examples
When stablecoin flow rises and defensive dominance pressure is low, the script may show Liquidity Expansion.
When stablecoin dominance rises while price weakens, it may show Risk-Off Parking.
When stablecoin flow contracts and market appetite is weak, it may show Dry Liquidity.
When stablecoin flow improves with early market recovery, it may show Rotation Ready.
🧱 System Philosophy
AGProLabs scripts are built as structured decision-support tools.
The goal is to make hidden market context easier to read, not to replace judgment with certainty.
🔐 Non-Promise Statement
No liquidity model can remove uncertainty.
No state should be treated as certainty.
No visual element should replace trader judgment.
📉 Risk Disclosure
Trading involves risk.
Crypto markets can be highly volatile and liquidity conditions can change quickly.
This script is for educational and analytical purposes only.
Nothing in this script should be interpreted as financial advice, investment advice, or a guaranteed trading outcome.
Users remain fully responsible for their own decisions.
📚 Educational Note
Use this script to study how stablecoin supply, stablecoin dominance, and risk appetite interact across crypto market cycles.
Indicator
Indicator
Reaction Quality Heat Zones [AGPro Series]Reaction Quality Heat Zones
🧠 Core Idea
Is price reacting with clean quality, or is the zone only producing weak noise and failure pressure?
📌 Overview / What it does
Reaction Quality Heat Zones is a premium PulseWire overlay that evaluates the quality of price reactions around a live reference zone. It studies wick rejection, close location, participation, follow-through, and failed-reaction pressure to determine whether the current reaction area deserves attention.
The script produces a forward-projected heat zone, centered zone label, compact event labels, right-side state tags, and an AGPro-style panel. It is designed to show whether a reaction is clean, weak, absorbing pressure, failing, or producing follow-through.
It does not predict price direction, automate trading, or provide guaranteed entries. It is a visual context tool for reading reaction quality.
🎯 Purpose & Design Philosophy
This script was built because many traders can see a reaction after it happens, but struggle to judge the quality of that reaction in real time.
Reaction Quality Heat Zones helps traders evaluate whether a level, area, or market response is actually meaningful, or whether price is only producing low-quality movement around noise.
The mindset is quality-first: not every bounce, rejection, or reaction deserves the same weight.
⚡ Why This Script Is Different
Most tools mark support, resistance, or candle reactions as isolated events.
This script does NOT treat every wick or bounce as equally important.
Instead, it evaluates reaction quality as a combined structure: wick quality, close behavior, participation, follow-through, and failure pressure are all interpreted together.
⚙️ Methodology
1. Context Detection
The script identifies the dominant reaction side by comparing bullish and bearish reaction quality.
2. Reference Mapping
It builds a heat zone around the most relevant recent reaction boundary.
3. Reaction Evaluation
It scores the zone using wick rejection, close quality, participation, follow-through, and distance from the reaction boundary.
4. Visual Output
It displays a projected heat zone, event labels, state tags, and a structured panel.
🗺️ How to Read the Chart
Zones represent areas where reaction quality is being evaluated.
The centered zone label shows the active reaction heat score.
Labels mark clean reactions, weak reactions, absorption risk, failed reactions, and follow-through events.
Colors represent state context:
• Green = clean or follow-through reaction
• Pink = failed reaction pressure
• Yellow = absorption risk
• Indigo = weak or building reaction
The panel summarizes reaction state, direction, heat score, failure pressure, wick quality, follow-through, and next context.
🚦 Signals & States
• CLEAN REACTION → reaction quality is strong and failure pressure is controlled
• FOLLOW-THROUGH → reaction quality is strong and continuation is visible
• WEAK REACTION → reaction quality is not strong enough yet
• ABSORPTION RISK → quality exists, but failure pressure is also elevated
• FAILED REACTION → failure pressure dominates the reaction area
• REACTION BUILD → no decisive reaction state is confirmed
🔔 Alerts Logic
Alerts trigger when a new clean reaction, follow-through reaction, failed reaction, absorption risk, or weak reaction is detected.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The strongest reaction context appears when wick rejection, close quality, participation, and follow-through align.
The weakest reaction context appears when reaction quality is low and failure pressure increases.
📊 When to Use
• Support and resistance reactions
• Breakout retests
• Range boundary reactions
• Pullback reaction checks
• Intraday and swing market-structure review
⚠️ When NOT to Use
• Very low-liquidity symbols
• Random chop without clear reaction areas
• News-driven spikes
• Charts where spreads or data quality distort candles
🎛️ Key Inputs
• Reaction Lookback → controls the recent window used to build the heat zone
• Follow-Through Length → controls continuation evaluation after reaction
• Heat Threshold → defines how strong a reaction must be to qualify
• Failure Threshold → defines when failure pressure becomes important
• Zone Projection Bars → keeps all zone edges visible for publication screenshots
• Panel and label settings → control readability and layout
🖥️ Interface & Visual Design
The interface is built for fast visual interpretation.
The heat zone carries the main story, while the panel provides structured confirmation. Right-side tags keep the current state readable without burying the candles.
The visual design is intentionally premium, compact, and publication-ready.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check the active heat zone.
3. Compare heat score with failure pressure.
4. Look for clean reaction or follow-through confirmation.
5. Interpret the result within broader market structure.
🔍 Interpretation Guidelines
High heat with controlled failure pressure suggests a cleaner reaction.
High heat with high failure pressure suggests absorption risk.
Low heat suggests the reaction may not be meaningful yet.
Failed reaction pressure does not guarantee reversal. It shows that the reaction area is losing quality.
🚫 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 provide guaranteed buy or sell signals.
It does not replace risk management.
⚠️ Limitations & Transparency
Reaction quality can change quickly.
Different timeframes may show different reaction behavior.
Volatility, liquidity, market sessions, and sudden news can affect how zones behave.
Outputs should always be interpreted with broader market context.
🧠 Market Context Notes
A good reaction is not only a wick.
It also needs close quality, participation, and follow-through. This script is designed to make that difference visible.
🧾 Use Case Examples
When price reacts from a zone with strong wick quality, strong close behavior, and follow-through, the heat score can confirm a cleaner reaction.
When price reacts but failure pressure rises, the zone may be vulnerable.
When price stays inside the zone without quality, the script may show weak reaction or reaction build context.
🧱 System Philosophy
AGPro Series scripts are designed to make complex market context easier to read without reducing the market to simplistic signals.
This script follows that philosophy by focusing on reaction quality instead of generic support or resistance marks.
🔐 Non-Promise Statement
No script can guarantee future price movement.
This tool provides structured context, not certainty.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions, position sizing, and risk management.
This script does not provide financial advice or guaranteed trading outcomes.
📚 Educational Note
Use this script to study how price reacts around important areas and to compare clean reactions with weak or failed reactions across different market conditions.
Indicator
Exhaustion Fuel Gauge [AGPro Series]Exhaustion Fuel Gauge
🧠 Core Idea
Is the current move still powered by real participation, or is the trend running on exhausted fuel?
📌 Overview / What it does
Exhaustion Fuel Gauge is a premium PulseWire overlay that evaluates trend fuel, participation strength, extension pressure, wick reaction, and momentum efficiency to map whether a directional move is still active, fading, or entering exhaustion territory.
The script produces a forward-projected fuel zone, compact state labels, current context tags, and an AGPro-style panel that summarizes the active gauge state. It is designed to help users read whether a move has enough internal fuel to continue or whether the chart is showing signs of weakening participation and exhaustion risk.
It does not predict price direction, automate trades, or provide guaranteed signals. It is a visual decision-support map for market context.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between simple momentum indicators and real chart context. Many tools show whether price is moving fast, but they do not clearly explain whether the move still has fuel or whether the movement is becoming fragile.
Exhaustion Fuel Gauge helps discretionary traders, swing traders, intraday traders, and market-structure readers evaluate the quality of a move before overreacting to a single candle.
The design philosophy is simple: trend continuation should be judged by fuel, participation, efficiency, and reaction quality together.
⚡ Why This Script Is Different
Most tools focus on overbought or oversold readings.
This script does NOT treat exhaustion as a single oscillator value or a generic reversal signal.
Instead, it combines directional persistence, participation strength, range behavior, move efficiency, wick pressure, and extension risk into a clean overlay that explains whether the current move still has usable fuel.
⚙️ Methodology
1. Context Detection
The script identifies the active directional context using recent price movement and trend baseline behavior.
2. Fuel Evaluation
It measures persistence, participation, range expansion, and efficiency to estimate how much usable fuel remains in the move.
3. Exhaustion Risk Mapping
It evaluates extension, fuel fade, wick pressure, and participation fade to estimate whether the move is becoming vulnerable.
4. Visual Output
The script displays a forward-projected fuel zone, event labels, right-side context tags, and a structured AGPro panel.
🗺️ How to Read the Chart
Zones represent the current fuel reference area where the active move should be evaluated.
Labels mark important changes such as fuel activation, fuel fading, exhaustion watch, exhaustion hit, or reset build.
Colors represent state context:
• Green = active fuel
• Pink = exhaustion risk or exhaustion hit
• Yellow = caution / watch state
• Indigo = fading or reset context
The panel summarizes the current gauge state, direction, fuel score, exhaustion risk, participation, extension, and next context.
🚦 Signals & States
• FUEL ACTIVE → directional move still has usable internal fuel
• FUEL FADING → move is still present, but internal support is weakening
• EXHAUSTION WATCH → extension and reaction pressure are elevated
• EXHAUSTION HIT → exhaustion evidence is strong and fuel has weakened
• RESET BUILD → no clean directional fuel is currently confirmed
🔔 Alerts Logic
Alerts trigger when the script detects a new fuel-active state, fuel-fading state, exhaustion-watch state, exhaustion-hit state, or reset-build state.
Alerts are attention markers only. They are not trade instructions and should not be interpreted as guaranteed outcomes.
🧩 Confluence Logic
The strongest exhaustion context appears when extension pressure, participation fade, wick reaction, and weak fuel score align.
The strongest continuation context appears when fuel score remains high while exhaustion risk stays contained.
📊 When to Use
• Trending markets where continuation quality matters
• Extended moves where exhaustion risk needs to be evaluated
• Breakout follow-through analysis
• Swing-trading context review
• Intraday movement quality checks
⚠️ When NOT to Use
• Extremely low-liquidity markets
• Randomly choppy symbols with poor structure
• News spikes where normal participation behavior is distorted
• Very low timeframes with excessive noise
🎛️ Key Inputs
• Trend Length → adjusts the baseline used to define directional context
• Fuel Lookback → controls how many bars are used for fuel evaluation
• Exhaustion Threshold → adjusts how strict exhaustion detection is
• Fuel Fade Threshold → defines when a move is considered fuel-fading
• Zone Projection Bars → keeps the active zone visible for publication screenshots
• Panel and label settings → control visual readability
🖥️ Interface & Visual Design
The interface is built for quick visual interpretation.
The panel provides structured context without dominating the chart. The fuel zone gives the main story visually, while compact labels and right-side tags provide the current state without clutter.
The goal is a premium, publication-ready PulseWire chart.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether fuel is active, fading, or exhausted.
3. Observe the active fuel zone and current right-side tags.
4. Compare exhaustion risk with participation and extension.
5. Use broader market structure before making any decision.
🔍 Interpretation Guidelines
High fuel with low exhaustion risk suggests the move still has internal support.
High exhaustion risk with weak fuel suggests the move may be vulnerable to reaction or reset.
Fuel fading does not mean reversal. It means continuation quality is weakening.
Exhaustion hit does not guarantee a top or bottom. It marks a context that deserves caution.
🚫 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 provide guaranteed buy or sell signals.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
The script is rule-based and depends on market conditions.
Different timeframes may produce different readings.
Volatility, liquidity, gaps, and news-driven moves may affect signal quality.
Outputs should always be interpreted with broader market context.
🧠 Market Context Notes
Exhaustion is not only about price distance.
It also depends on whether participation remains strong, whether candles still close efficiently, and whether wick pressure begins to appear against the current direction.
This script is designed to make those conditions easier to read visually.
🧾 Use Case Examples
When price extends strongly but fuel remains high and exhaustion risk is contained, the move may still have continuation quality.
When price extends while participation fades and wick pressure increases, the chart may be entering exhaustion-watch territory.
When exhaustion risk rises while fuel drops, the context becomes more fragile.
🧱 System Philosophy
AGPro Series tools are designed as professional visual maps, not signal machines.
The goal is to make complex market context easier to interpret without reducing it to a simplistic buy or sell label.
🔐 Non-Promise Statement
No script can guarantee future price movement.
This tool provides structured context, not certainty.
📉 Risk Disclosure
Trading involves risk.
Past behavior does not guarantee future results.
Users are responsible for their own decisions, position sizing, and risk management.
This script does not provide financial advice.
📚 Educational Note
Use this script as a learning and analysis tool to better understand momentum quality, trend fuel, and exhaustion behavior across different market conditions.
Indicator
Acceptance Failure Path Map [AGPro Series]Acceptance Failure Path Map
🧠 Core Idea
Did price truly accept beyond a market boundary, or did that acceptance fail and create a new reaction path?
📌 Overview / What it does
Acceptance Failure Path Map is a market-structure visualization tool designed to study acceptance, failed acceptance, reclaim attempts, and continuation behavior around a defined reference range.
The script maps an acceptance band, detects whether price holds above or below that band, and highlights when accepted price fails back through the boundary. It produces compact labels, a centered path zone, right-side state tags, and an AG Pro panel that summarizes the current acceptance context.
It does not predict price direction, automate decisions, or claim that any acceptance event must continue. Its purpose is to make acceptance quality easier to read.
🎯 Purpose & Design Philosophy
This script was built for traders who want to understand whether a move is being accepted by the market or rejected after a temporary push beyond structure.
Many breakout tools mark only the breakout event. This script focuses on what happens after the breakout: acceptance, failure, reclaim pressure, and continuation risk.
The design supports a patient, context-first workflow where the trader reads the path of price around a boundary instead of reacting to a single candle.
⚡ Why This Script Is Different
Most tools focus on breakout signals, support and resistance touches, or simple range breaks.
This script does NOT treat every break as meaningful acceptance.
Instead, it builds a path map around acceptance quality, failure timing, reclaim behavior, and current risk state. The result is a cleaner view of whether price is holding acceptance or losing it.
⚙️ Methodology
1. Context Detection
The script builds a reference range from recent market structure and applies an ATR-based buffer to reduce noise.
2. Reference Mapping
It defines upper and lower acceptance boundaries and tracks whether price closes beyond them for the required number of bars.
3. Reaction Evaluation
After acceptance appears, the script monitors whether price fails back through the boundary, attempts reclaim, or holds continuation.
4. Visual Output
The chart displays an acceptance path zone, event labels, right-side state tags, and a panel summarizing the current condition.
🗺️ How to Read the Chart
Zones show the current acceptance path area around the active boundary.
Labels highlight acceptance above, acceptance below, acceptance failure, reclaim tests, and held acceptance.
Colors separate bullish acceptance, bearish acceptance, neutral failure risk, and reclaim context.
The panel shows the current path state, acceptance side, failure risk, path quality, reference range, active boundary, and next context.
🚦 Signals & States
• ACCEPT ABOVE → Price has accepted above the reference boundary.
• ACCEPT BELOW → Price has accepted below the reference boundary.
• ACCEPT FAIL → Accepted price failed back through the boundary within the failure window.
• RECLAIM TEST → Price is testing reclaim after a failed acceptance event.
• ACCEPT HELD → Acceptance remained valid after the failure window.
🔔 Alerts Logic
Alerts trigger when the script detects acceptance above, acceptance below, acceptance failure, or reclaim testing.
These alerts are attention markers. They are not trade instructions, entry signals, or guaranteed outcomes.
🧩 Confluence Logic
The context becomes stronger when acceptance quality, distance from the reference range, participation, and follow-through direction align.
If acceptance appears without follow-through or quickly returns through the boundary, the failure context becomes more important.
📊 When to Use
• After range breaks
• Around support and resistance transitions
• During breakout retests
• When price is attempting to hold above or below a major boundary
• When evaluating whether market structure is accepted or rejected
⚠️ When NOT to Use
• Extremely illiquid markets
• Very noisy low-timeframe candles
• News-driven spikes with unstable spreads
• Markets with no meaningful reference range
• Situations where a single indicator is being used without broader context
🎛️ Key Inputs
• Reference Range Length → controls how much structure is used to build the acceptance boundary.
• Acceptance Bars → controls how many closes are required before acceptance is recognized.
• Failure Window → controls how quickly accepted price must fail back through the boundary.
• Boundary Buffer ATR → adjusts the buffer around the reference range.
• Label and Panel Font Size → adjust chart readability.
• Visible Band Bars and Band Projection Bars → control how the acceptance zone appears on the chart.
🖥️ Interface & Visual Design
The interface is designed for a premium, clean chart view.
The panel provides the current summary. The acceptance zone carries the main story. Labels are compact and spaced to avoid hiding candles.
The visual hierarchy is intentionally simple: zone first, current state second, event labels third.
🧪 Practical Usage Workflow
1. Read the AG Pro panel to identify the current path state.
2. Check whether price is above, below, or inside the acceptance path zone.
3. Review recent labels to understand whether acceptance held, failed, or reclaimed.
4. Compare the current failure risk and path quality with broader market context.
5. Use alerts only as attention markers for further review.
🔍 Interpretation Guidelines
Acceptance is stronger when price remains outside the boundary with follow-through.
Acceptance failure is more meaningful when price quickly returns through the boundary after appearing accepted.
Reclaim tests should be interpreted as context changes, not automatic reversal signals.
Held acceptance suggests the market is continuing to respect the accepted side, but it still requires confirmation from broader structure.
🚫 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 provide guaranteed buy or sell signals.
It does not replace risk management, market context, or independent analysis.
⚠️ Limitations & Transparency
Acceptance behavior can look different across timeframes.
High volatility can create temporary false readings.
Low-liquidity markets may produce unstable boundary behavior.
The script is rule-based and depends on the selected settings, symbol behavior, and chart timeframe.
🧠 Market Context Notes
Acceptance and failure are closely related to market structure, liquidity reaction, and participant commitment.
When price breaks a boundary but cannot hold it, the failed side may become the more important context.
When price accepts and holds, the market may be showing stronger directional commitment.
🧾 Use Case Examples
When price accepts above a range and holds beyond the failure window, the chart may show an ACCEPT HELD context.
When price accepts above a boundary but quickly closes back below it, the script may mark ACCEPT FAIL.
When price returns back toward a failed boundary, the script may show a RECLAIM TEST state.
🧱 System Philosophy
AGPro Series tools are built to visualize market context without turning analysis into prediction.
The goal is to make structure, risk, and reaction quality easier to observe in real time.
🔐 Non-Promise Statement
No script can guarantee market direction, timing, or outcome.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and position sizing.
This script does not provide financial advice or guaranteed trading results.
📚 Educational Note
Use this script as a learning and analysis tool for studying acceptance, failed acceptance, reclaim pressure, and continuation behavior around market boundaries.
Indicator
Macro Risk Proxy Switchboard [AGPro Series]Macro Risk Proxy Switchboard
🧠 Core Idea
Are macro risk proxies supporting risk appetite, warning of defense, or sending a mixed signal?
📌 Overview / What it does
Macro Risk Proxy Switchboard is a macro context tool that compares multiple external risk proxies and converts them into a clean risk-on / risk-off switchboard.
The script uses configurable proxy symbols such as dollar pressure, yield pressure, volatility pressure, and credit appetite. It normalizes their recent movement, evaluates agreement, detects shock or divergence behavior, and displays the current macro regime directly on the chart.
It produces a macro risk rail, compact alignment labels, right-side regime tags, and a structured AG Pro panel. It does not predict price direction, automate decisions, or claim that macro proxies must control the chart.
🎯 Purpose & Design Philosophy
This script was built to solve a common context problem: traders often watch several macro proxies, but the information is scattered across different charts.
Macro Risk Proxy Switchboard compresses that context into one visual layer. It helps traders understand whether external risk conditions are supportive, defensive, mixed, or shocked.
The mindset is simple: price action matters first, but macro pressure can change the quality of breakouts, pullbacks, risk appetite, and continuation attempts.
⚡ Why This Script Is Different
Most tools focus only on the charted symbol.
This script does NOT treat macro data as a prediction engine.
Instead, it reads a configurable basket of risk proxies and asks whether those proxies agree, diverge, or create an external pressure warning.
The result is not a buy or sell signal. It is a compact macro context layer designed to improve situational awareness.
⚙️ Methodology
1. Proxy Selection
The script reads four configurable proxies: dollar pressure, yield pressure, volatility pressure, and credit appetite.
2. Proxy Normalization
Each proxy is measured by recent momentum and normalized against its own historical behavior so the readings can be compared.
3. Composite Evaluation
The script combines proxy pressure into a composite risk score and measures how many proxies agree with the current regime.
4. Visual Output
The output is displayed through a macro risk rail, event labels, right-side regime tags, and a clean AG Pro panel.
🗺️ How to Read the Chart
The macro rail represents the current external risk context.
Labels show important macro events such as risk-on alignment, risk-off alignment, proxy shock, or macro divergence.
Colors separate supportive, defensive, neutral, and shock-style behavior.
The panel shows macro regime, risk direction, composite pressure, agreement count, dominant proxy, individual proxy pressure, credit pressure, quality score, and next context.
🚦 Signals & States
• RISK-ON ALIGN → macro proxies are broadly supportive of risk appetite
• RISK-OFF ALIGN → macro proxies are broadly defensive or risk restrictive
• MIXED PROXIES → proxy agreement is weak or divided
• PROXY SHOCK → at least one proxy shows unusually strong pressure
• NEUTRAL BOARD → no clear macro tilt is active
🔔 Alerts Logic
Alerts trigger when the script detects risk-on alignment, risk-off alignment, proxy shock, or macro proxy divergence.
These alerts are attention markers only. They highlight a change in macro context, not a trading instruction.
🧩 Confluence Logic
The strongest macro context appears when multiple proxies point in the same direction and the composite score is strong.
When price structure, market trend, and macro proxy alignment agree, the context becomes more coherent.
When price action and macro pressure disagree, the chart should be interpreted with more caution.
📊 When to Use
• Crypto risk-on / risk-off evaluation
• Equity index context
• Breakout quality review
• Pullback environment analysis
• Volatility expansion periods
• Comparing price behavior against external macro pressure
⚠️ When NOT to Use
• When proxy symbols are unavailable on the selected PulseWire data plan
• During market holidays where proxy data may be stale
• On very low-liquidity symbols where local behavior dominates
• When using macro context as a standalone trade trigger
• When ignoring the chart’s own structure, liquidity, and volatility
🎛️ Key Inputs
• Dollar Pressure Proxy → default DXY-style risk pressure input
• Yield Pressure Proxy → default 10-year yield-style pressure input
• Volatility Proxy → default VIX-style defensive pressure input
• Credit Appetite Proxy → default HYG-style risk appetite input
• Proxy Momentum Length → controls how recent proxy movement is measured
• Proxy Rank Length → controls normalization stability
• Agreement Threshold → controls how strict risk-on/risk-off classification is
• Visual settings → control panel, rail, labels, and readability
🖥️ Interface & Visual Design
The interface is designed as a switchboard, not a traditional oscillator.
The panel carries the macro logic, while the chart displays only the most important regime rail and event labels.
This keeps the chart clean while still giving the viewer a premium first-glance macro context.
🧪 Practical Usage Workflow
1. Read the panel macro regime
2. Check risk direction and composite score
3. Review agreement count and dominant proxy
4. Compare macro rail with current price structure
5. Treat divergence or proxy shock as context requiring extra caution
🔍 Interpretation Guidelines
A risk-on reading does not guarantee upside.
A risk-off reading does not guarantee downside.
A proxy shock means external pressure is elevated and should be reviewed.
A mixed board means macro proxies are not giving a clean message.
The best use is to combine this switchboard with price action, structure, volatility, liquidity, and timeframe 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 buy or sell signals.
It does not claim that macro proxies always lead price.
⚠️ Limitations & Transparency
Proxy symbols may behave differently across asset classes.
Some symbols may have delayed or unavailable data depending on the user’s PulseWire access.
Macro relationships can change over time.
Short-term price action can diverge from macro context for long periods.
Users should always interpret the switchboard within broader market conditions.
🧠 Market Context Notes
Macro context is most useful when it helps explain the quality of risk appetite.
Dollar pressure, yield pressure, volatility pressure, and credit appetite can all influence how traders interpret continuation, rejection, and acceptance behavior.
The script is built to simplify that context, not to replace the chart.
🧾 Use Case Examples
When price attempts a breakout while the switchboard shows risk-on alignment, the trader can evaluate whether external conditions support the move.
When price is holding support but the switchboard prints proxy shock, the trader can watch for defensive pressure.
When price trends strongly while macro proxies remain mixed, the trader can treat the move as less confirmed by external context.
🧱 System Philosophy
Macro Risk Proxy Switchboard follows the AGPro Series philosophy: clean decision-support tools that turn complex market context into readable, premium visual structure.
The script focuses on interpretation quality, not prediction claims.
🔐 Non-Promise Statement
No proxy basket can know the future.
No macro signal guarantees price direction.
This tool provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
All decisions remain the responsibility of the user.
This script does not provide financial advice or guaranteed trading outcomes.
📚 Educational Note
Use this script as an educational and analytical companion for studying macro pressure, risk appetite, defensive conditions, and cross-market context.
Indicator
Candle Intent Map [AGPro Series]Candle Intent Map
🧠 Core Idea
Does this candle show initiative, absorption, rejection, indecision, or a real shift in intent?
📌 Overview / What it does
Candle Intent Map is a candle behavior and market reaction tool designed to read the internal message of price candles beyond simple bullish or bearish color.
The script evaluates body pressure, wick reaction, close location, volume context, short follow-through, and recent intent changes to classify whether the market is showing initiative, absorption, rejection, indecision, or an intent shift.
It produces compact labels, a visible intent pressure zone, right-side context tags, and a clean AG Pro panel. It does not predict price, automate decisions, or promise that a candle pattern will continue.
🎯 Purpose & Design Philosophy
This script was built because many candlestick tools stop at basic pattern recognition.
A candle is not only a shape. It is a relationship between body commitment, wick reaction, volume participation, close location, and what happens immediately after that candle forms.
Candle Intent Map helps traders who want to read candle quality, initiative pressure, reaction zones, and follow-through context without turning the chart into a crowded pattern scanner.
⚡ Why This Script Is Different
Most candle tools focus on named formations such as engulfing candles, pin bars, doji candles, or simple color changes.
This script does NOT treat every candle pattern as an automatic signal.
Instead, it studies whether the candle has enough internal pressure, reaction quality, volume context, and follow-through to deserve attention.
The goal is not to label more candles. The goal is to label the candles that tell a clearer market story.
⚙️ Methodology
1. Context Detection
The script measures body-to-range ratio, upper wick pressure, lower wick pressure, close location, and relative volume participation.
2. Intent Classification
Candles are classified into initiative, absorption, rejection, indecision, or intent shift conditions based on body pressure, wick behavior, and directional commitment.
3. Reaction Evaluation
The script builds a reaction-quality score using body strength, wick reaction, close placement, volume context, and short follow-through behavior.
4. Visual Output
The strongest current candle intent context is mapped as a visible intent zone, compact event labels, right-side state tags, and a structured AG Pro panel.
🗺️ How to Read the Chart
Zones represent the most recent candle intent pressure area.
Labels show important candle intent events such as bullish intent, bearish intent, absorption, rejection, indecision, or intent shift.
Colors separate constructive pressure, defensive pressure, neutral reaction, and absorption-style behavior.
The panel summarizes current intent, direction, body pressure, wick reaction, follow-through, quality score, and next context.
🚦 Signals & States
• BULL INTENT → bullish body pressure with meaningful close location and participation
• BEAR INTENT → bearish body pressure with meaningful close location and participation
• ABSORPTION → strong reaction behavior with compressed body and meaningful volume
• LOWER REJECT → lower wick reaction suggesting downside rejection
• UPPER REJECT → upper wick reaction suggesting upside rejection
• INDECISION → low body commitment with balanced wick behavior
• INTENT SHIFT → recent candle intent changes direction with enough pressure to matter
🔔 Alerts Logic
Alerts trigger when the script detects bullish candle intent, bearish candle intent, candle absorption, or candle intent shift.
These alerts are attention markers only. They highlight a candle context that may deserve review, not a trade instruction.
🧩 Confluence Logic
The strongest context appears when candle body pressure, wick reaction, close location, volume participation, and follow-through point in the same direction.
When these components align, the candle intent quality score becomes stronger.
📊 When to Use
• During active trend continuation phases
• Around reaction zones and pullback areas
• Near support, resistance, VWAP, or liquidity references
• When evaluating whether a candle has real participation behind it
• When comparing initiative candles against absorption or rejection candles
⚠️ When NOT to Use
• Extremely illiquid markets
• Very noisy low-timeframe environments
• News-driven candles with abnormal spreads
• Symbols with unreliable volume data
• Situations where broader market context is ignored
🎛️ Key Inputs
• Volume Context Length → controls the relative volume comparison window
• Follow-Through Length → controls how short-term continuation is measured
• Initiative Body Ratio → changes how strict the initiative candle filter is
• Reaction Wick Ratio → changes how strict wick-based rejection and absorption filters are
• Visible Zone Bars → controls how much of the recent chart the intent zone covers
• Label and Panel Font Size → controls visual readability
🖥️ Interface & Visual Design
The interface is designed to stay clean, readable, and publication-friendly.
The chart focuses on one main intent zone, compact event labels, right-side context tags, and a structured panel.
The visual hierarchy is intentional: zone first, current state second, historical intent events third.
🧪 Practical Usage Workflow
1. Read the panel to understand the current candle intent state
2. Check the intent zone and its position relative to price
3. Review recent labels to understand whether initiative, absorption, or rejection has dominated
4. Compare the quality score with current follow-through
5. Interpret the output inside broader market context
🔍 Interpretation Guidelines
A strong intent label does not mean price must continue.
A rejection label does not mean reversal is guaranteed.
An absorption label means the candle structure showed reaction and participation, but confirmation still depends on the following market behavior.
The best interpretation comes from combining candle intent with structure, liquidity, volatility, and timeframe 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 buy or sell signals.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Candlestick interpretation changes across timeframes.
Volume quality may differ between markets and exchanges.
Fast volatility expansion can make recent candle intent less stable.
Low-liquidity conditions may create misleading wick or body readings.
Users should always interpret outputs within broader market context.
🧠 Market Context Notes
Candle intent is most useful when combined with structure, liquidity, trend quality, volatility, and acceptance behavior.
One candle rarely tells the whole story. The value comes from understanding whether candle pressure is supported or rejected by what comes next.
🧾 Use Case Examples
When price reaches a known support area and the script prints a lower rejection label with improving quality, the trader can study whether downside pressure is being rejected.
When a strong body candle prints with high quality and follow-through, the trader can evaluate whether initiative pressure is entering the market.
When absorption appears inside a range, the trader can watch whether trapped pressure develops or fades.
🧱 System Philosophy
Candle Intent Map is part of the AGPro Series approach: clean visual tools that focus on market context, reaction quality, and decision support rather than prediction claims.
The script is designed to make candle behavior easier to read while keeping the trader responsible for interpretation.
🔐 Non-Promise Statement
No script can know the future.
No candle label guarantees continuation or reversal.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
All decisions remain the responsibility of the user.
This script does not provide financial advice or guaranteed trading outcomes.
📚 Educational Note
Use this script as an educational and analytical companion for studying candle behavior, reaction quality, and short-term intent context.
Indicator
Volatility Compression Release Map [AGPro Series]Volatility Compression Release Map
🧠 Core Idea
Is the market quietly building expansion energy, or has the release already failed back into the shelf?
📌 Overview / What it does
Volatility Compression Release Map is a volatility regime and compression shelf visualization tool built to identify quiet range contraction, release attempts, fake releases, and expansion quality.
The script maps a projected compression shelf when volatility rank and range size contract together. It then tracks whether price releases away from that shelf, returns back inside it, or continues to hold expansion pressure.
This script does not predict future price direction, automate trades, or produce guaranteed buy/sell signals. It is designed as a structured chart-reading layer for volatility compression, release quality, and contextual risk.
🎯 Purpose & Design Philosophy
The script was built for traders who care about the transition between quiet markets and expansion phases.
Many charts look calm before movement starts. The challenge is not simply seeing a tight range, but understanding whether that range is still building energy, whether the release is active, or whether the move has already failed back into the shelf.
The design philosophy is simple: reduce volatility noise into a readable map, preserve the important shelf story, and make the current regime understandable at first glance.
⚡ Why This Script Is Different
Most tools focus on breakout arrows, squeeze dots, or raw volatility bands.
This script does NOT treat every contraction as an immediate trade signal and does NOT frame every expansion candle as confirmation.
Instead, it builds a full compression-to-release map: the shelf, volatility rank, range size, release direction, fake-release risk, quality score, right-side state labels, and a compact AG Pro panel all work together.
⚙️ Methodology
1. Context Detection
The script evaluates ATR rank, recent range size, and whether price is still inside a quiet shelf.
2. Shelf Mapping
When compression conditions align, the active range is stored and projected forward as a compression shelf.
3. Release Evaluation
The script checks whether price leaves the shelf with enough candle body expansion to qualify as a release attempt.
4. Failure Tracking
If price quickly returns into the shelf during the fake-release window, the state changes to fake release.
5. Visual Output
The chart displays a projected shelf, dotted rails, a centered shelf-quality label, event labels, right-side state tags, and a compact AG Pro panel.
🗺️ How to Read the Chart
Zones represent the active compression shelf.
The shelf label shows the current shelf quality score using a compact `SHELF | Q` format.
Green/teal visual states generally indicate constructive expansion or defended release behavior.
Pink visual states highlight failed release or adverse volatility behavior.
Indigo/accent visuals represent compression and neutral shelf structure.
The panel summarizes compression state, release direction, volatility rank, range size, quality score, shelf range, and next context.
🚦 Signals & States
• COMPRESSION BUILD → a quiet shelf is forming and volatility is compressed
• RELEASE ACTIVE → price has moved away from the shelf with sufficient body expansion
• FAKE RELEASE → price returned back into the shelf after a release attempt
• SHELF WATCH → a shelf exists but the market has not produced a clean active release
• WAIT COMPRESSION → no valid compression shelf is currently active
🔔 Alerts Logic
Compression Build alert triggers when a new volatility compression shelf is detected.
Compression Release alert triggers when price releases from the active shelf with enough candle body expansion.
Fake Release alert triggers when price returns back into the shelf within the defined fake-release window.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when low volatility rank, compact range size, a visible shelf, and a strong release candle align.
The context becomes weaker when price fails back into the shelf shortly after release.
📊 When to Use
• Before potential expansion phases
• During quiet range compression
• Around breakout preparation zones
• When evaluating whether a move is expanding or failing
• On liquid markets where volatility structure is meaningful
⚠️ When NOT to Use
• Extremely illiquid symbols
• Very noisy low-timeframe charts
• News shock environments where volatility structure changes suddenly
• Markets with unreliable volume or large gaps
• Situations where a single indicator is being used without broader context
🎛️ Key Inputs
• Compression Lookback → controls the range window used to detect the shelf
• Volatility Rank Lookback → controls how ATR rank is measured
• Compression Rank Max → changes how selective compression detection is
• Range ATR Max → limits how wide a valid shelf can be
• Release Body ATR Min → defines how strong a release candle must be
• Fake Release Window → controls how quickly a release failure is detected
• Visual settings → control shelf projection, labels, panel, theme, and font sizes
🖥️ Interface & Visual Design
The interface is designed to look clean, premium, and publication-ready.
The shelf is the main visual anchor. Event labels are intentionally limited so the chart does not become crowded.
The AG Pro panel uses a merged blue header row and summarizes the state without covering the main chart story.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Locate the active compression shelf.
3. Check whether price is inside, releasing, or failing back into the shelf.
4. Compare the quality score with the visual structure.
5. Use broader market context before making any decision.
🔍 Interpretation Guidelines
Compression is not direction.
A shelf shows where volatility has contracted.
A release shows that price moved away from the shelf with expansion pressure.
A fake release shows that the market rejected the expansion and returned to the compression area.
The strongest interpretations come from combining the shelf, state, quality score, and surrounding market structure.
🚫 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 profitable trades.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Timeframe differences can change how compression and release behavior appears.
High volatility news events may reduce the usefulness of shelf-based interpretation.
Low-liquidity markets can produce misleading shelves and sudden false releases.
The script is rule-based and should always be interpreted within broader market context.
🧠 Market Context Notes
Volatility often contracts before expansion, but compression alone does not define direction.
The shelf helps identify where the market has stored recent range energy.
Release quality helps separate stronger expansion attempts from weak movement outside the range.
🧾 Use Case Examples
When price remains inside a shelf while volatility rank is low, the market may still be building energy.
When price leaves the shelf with strong body expansion, the script marks release behavior.
When price returns into the shelf quickly, the script flags a fake-release context.
🧱 System Philosophy
AGPro Series tools are built to turn complex market behavior into structured visual maps.
The goal is not to simplify markets into certainty, but to make important context easier to read.
🔐 Non-Promise Statement
No script can know the future.
No signal is certain.
No visual state should be treated as a guaranteed outcome.
📉 Risk Disclosure
Trading involves risk.
Markets can move unexpectedly.
Users are responsible for their own decisions, risk management, and trade execution.
This script does not provide financial advice.
📚 Educational Note
This tool is intended for educational and analytical use. It can help traders study volatility compression, release behavior, fake-release risk, and shelf-based market context.
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Failed Continuation Trap Map [AGPro Series]Failed Continuation Trap Map
🧠 Core Idea
Did a continuation attempt fail strongly enough to trap traders and create pressure in the opposite direction?
📌 Overview / What it does
Failed Continuation Trap Map is a rule-based price-action and market-structure visualization tool designed to study failed continuation attempts.
The script identifies trend-aligned continuation attempts, maps the attempted breakout zone, evaluates whether the move fails back through that zone, and highlights when trapped longs or trapped shorts may create opposite pressure.
It does not predict reversals, automate trades, or guarantee that a failed continuation will produce follow-through. It is a structured decision-support map for continuation failure, trap behavior, and opposite-pressure context.
🎯 Purpose & Design Philosophy
Many breakout and continuation tools focus on whether price moved beyond a level.
This script was built to answer a more selective question:
Did the continuation attempt fail in a way that changes the market narrative?
The design goal is to help traders read failed continuation as a trap context instead of treating every rejection as a reversal signal.
⚡ Why This Script Is Different
Most tools focus on breakouts, pullbacks, continuation signals, or reversal labels.
This script does NOT label every failed move as a trap.
Instead, it waits for a trend-aligned continuation attempt, tracks the attempt zone, evaluates failure quality, maps the trap pocket, and checks whether opposite pressure confirms after trapped participants are created.
⚙️ Methodology
1. Continuation Bias Detection
The script uses fast and slow EMAs to define the active continuation bias.
2. Attempt Mapping
When price attempts continuation beyond recent structure, the script records the attempt level and builds an attempt zone.
3. Failure Evaluation
After the attempt, the script watches a defined failure window to detect rejection back through the attempt level.
4. Trap and Pressure Scoring
Trap quality uses rejection wick behavior, relative volume, and failure timing.
5. Visual Output
The chart displays the attempt zone, trap pocket, opposite-pressure rail, centered trap label, event labels, right-side tags, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Attempt Zone = the area around the continuation level where breakout or continuation participants may enter.
Trap Pocket = the area where failed continuation can create trapped participants.
Opposite-Pressure Rail = the level used to read whether the failed continuation is turning into stronger pressure against the attempt.
Centered Trap Label = the main visual anchor inside the active trap pocket.
Event Labels = compact labels for attempts, long traps, short traps, and pressure confirmation.
Right-Side Tags = current trap state, attempt level, and pressure quality.
Panel = summarizes trap state, attempt type, trapped side, trap quality, pressure quality, next context, and timeframe.
🚦 Signals & States
• ATTEMPT ACTIVE → price attempted continuation and is still inside the failure evaluation window.
• TRAP ACTIVE → the continuation attempt failed back through the attempt level.
• OPPOSITE PRESSURE → price confirmed pressure away from the failed continuation attempt.
• CONTINUATION HOLD → the attempt is holding beyond the continuation zone.
• ATTEMPT EXPIRED → the attempt did not create a timely failure or pressure signal.
• WAIT ATTEMPT → no valid continuation attempt is active.
🔔 Alerts Logic
Alerts trigger when a major continuation-failure state appears.
• Continuation Attempt → price attempted continuation beyond recent structure.
• Failed Continuation Trap → continuation attempt failed back through the attempt zone with trap quality.
• Opposite Pressure Confirmed → opposite pressure confirmed after a failed continuation attempt.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• Continuation bias is clear
• Price attempts continuation beyond recent structure
• The attempt fails back through the zone quickly
• Rejection wick quality is strong
• Relative volume supports participation
• Opposite-pressure rail confirms after the trap
• The panel state agrees with the chart labels
If these elements do not align, the script avoids forcing a trap interpretation.
📊 When to Use
• Breakout failure analysis
• Failed continuation review
• Trend continuation trap studies
• Intraday and swing market-structure analysis
• Crypto, forex, stocks, and index markets
• 1H, 4H, and daily charts
• Markets where continuation attempts are common and readable
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely sideways markets with no continuation bias
• News-driven candles that distort rejection quality
• Ultra-low timeframes with excessive noise
• Markets where recent structure is too compressed to define a clean attempt zone
• Situations where a single failed attempt should not be treated as a standalone decision
🎛️ Key Inputs
• Fast EMA Length → defines the faster continuation-bias component.
• Slow EMA Length → confirms the broader continuation direction.
• ATR Length → normalizes attempt zones, trap pockets, labels, and failure levels.
• Continuation Breakout Lookback → defines recent structure used to identify continuation attempts.
• Failure Evaluation Window → controls how long after an attempt the script can classify failure.
• Attempt Zone ATR → controls the thickness of the continuation attempt zone.
• Trap Wick Threshold → defines how much rejection quality is needed before a failure becomes trap context.
• Use Volume Confirmation → adds relative volume to trap-quality scoring.
• Projection Bars → controls how far zones, rails, and right-side tags project.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the failed-continuation story.
The attempt zone shows where continuation was attempted.
The trap pocket shows where trapped participants may become part of the next narrative.
The opposite-pressure rail gives a clean reference for pressure confirmation.
The centered badge keeps the active trap context readable at first glance.
The AG Pro panel summarizes the current trap state without forcing the user to decode every element manually.
🧪 Practical Usage Workflow
1. Let the script identify the active continuation bias.
2. Watch for an attempt beyond recent structure.
3. Check whether the attempt holds or fails back through the zone.
4. If trap context appears, watch the opposite-pressure rail.
5. Use the panel to confirm trap state, trapped side, and quality scores.
6. Interpret the output inside broader trend, liquidity, volatility, and support/resistance context.
🔍 Interpretation Guidelines
A continuation attempt does not guarantee follow-through. It means price attempted to move beyond recent structure in the trend direction.
A trap active state does not guarantee reversal. It means the continuation attempt failed back through the attempt zone with enough quality to deserve attention.
Opposite pressure does not guarantee trend change. It means trapped participants may be adding pressure against the attempted continuation.
The strongest readings occur when trap state, pressure rail, and broader market context align.
🚫 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 generic breakout indicator.
It is not a simple reversal marker.
⚠️ Limitations & Transparency
EMA bias can lag during fast reversals.
Failure windows may miss slow-developing traps.
Low-liquidity markets can produce misleading wick behavior.
High volatility can make attempt zones wider or less stable.
Timeframe differences can change how continuation attempts appear.
The script is designed for structured interpretation, not certainty.
🧠 Market Context Notes
Failed continuation traps often matter most when traders are leaning heavily in one direction and price fails to reward that pressure.
The same failed attempt can have different meaning in a strong trend, range, liquidity sweep, or volatility shock.
The script should be read together with broader structure, volume, liquidity, and trend context.
🧾 Use Case Examples
• If price attempts upside continuation and then closes back below the attempt level with a strong upper wick, the script may show long-trap context.
• If price attempts downside continuation and then rejects back above the attempt level, the script may show short-trap context.
• If price continues beyond the pressure rail after a trap, the script may show opposite-pressure confirmation.
🧱 System Philosophy
Failed Continuation Trap Map is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders see when continuation logic breaks, without turning every failure into a forced reversal signal.
🔐 Non-Promise Statement
No script can know the future.
No failed continuation guarantees reversal.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how continuation attempts fail and how trapped participants can affect the next phase of market behavior.
The value is not only in the trap label. The value is in learning when a continuation narrative is accepted, rejected, or converted into opposite pressure.
Indicator
Session Bias Relay Map [AGPro Series]Session Bias Relay Map
🧠 Core Idea
Did Asia, London, and New York pass the same bias forward, or did the next session reject the market narrative?
📌 Overview / What it does
Session Bias Relay Map is an intraday session-structure tool built to visualize how directional bias moves from one major trading session to the next.
The script tracks Asia, London, and New York session ranges, scores each session's directional bias, and classifies whether the active session confirms, conflicts with, or reverses the previous session's narrative.
It does not predict price direction, automate trades, or claim that a session handoff must continue. It is a structured visualization and decision-support map for session bias, market narrative, and intraday context.
🎯 Purpose & Design Philosophy
Many session tools draw boxes, highs, lows, or kill zones.
This script was built to answer a more contextual question:
Did the next major session accept the prior session's directional story, or did it break the handoff?
The design goal is to help traders read sessions as a relay of market intent instead of isolated time windows. It supports discretionary market reading, session review, and intraday structure analysis.
⚡ Why This Script Is Different
Most session indicators focus on time blocks, session highs, and session lows.
This script does NOT stop at drawing session boxes.
Instead, it evaluates how each session behaves relative to the prior session. It scores bias strength, detects handoff confirmation, identifies conflict, and highlights reversal pressure when the active session builds a strong opposite narrative.
⚙️ Methodology
1. Session Detection
The script tracks configurable Asia, London, and New York session windows using the chart symbol's exchange timezone.
2. Session Range Mapping
For each session, it records open, high, low, close, midpoint, bar count, and live range behavior.
3. Bias Scoring
Session bias is scored using body pressure, close location inside the session range, and optional relative volume confirmation.
4. Relay Evaluation
London is compared against the completed Asia bias.
New York is compared against the completed London bias.
5. Visual Output
The chart displays session boxes, midpoint rails, centered session labels, relay event labels, right-side tags, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Session Boxes = the active session range built from each configured time window.
Centered Labels = the session name, current bias, relay state, and quality score.
Midpoint Rails = the middle of each session range, useful for reading control and balance.
Relay Event Labels = confirmation, conflict, or reversal events when a later session responds to the prior session.
Right-Side Tags = the current relay state and active session bias.
Panel = summarizes active session, relay state, bias score, prior session, session quality scores, next context, and timeframe scope.
🚦 Signals & States
• RELAY CONFIRMED → the active session supports the previous session's directional bias.
• RELAY REVERSAL → the active session builds strong bias opposite to the previous session.
• BIAS CONFLICT → the active session does not clearly confirm the previous session.
• FIRST LEG → Asia is building the first session bias for the daily relay.
• WAIT HANDOFF → the active handoff does not yet have enough evidence.
• BULLISH → the session is closing with bullish range pressure.
• BEARISH → the session is closing with bearish range pressure.
• NEUTRAL → the session does not have enough directional pressure.
🔔 Alerts Logic
Alerts trigger when a major relay state appears.
• Session Bias Relay Confirmed → the active session confirmed the directional bias passed from the previous session.
• Session Bias Conflict → the active session failed to confirm the previous session and is showing conflict.
• Session Bias Reversal → the active session built strong bias opposite to the previous session.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The previous session has a clear directional bias
• The active session has enough bars to evaluate
• The active session bias score is above the confirmation threshold
• Price closes with clear range position
• Relative volume supports participation
• The relay label and panel state agree
If these elements do not align, the script avoids forcing a strong directional interpretation.
📊 When to Use
• Intraday session analysis
• Forex, crypto, index futures, and liquid stock index products
• Asia-to-London handoff review
• London-to-New-York handoff review
• Market narrative tracking
• Session range and bias studies
• 15m, 30m, 1H, and 2H charts
⚠️ When NOT to Use
• Daily, weekly, or monthly charts
• Very low-liquidity symbols
• Markets with irregular or meaningless session windows
• Extremely noisy conditions where session closes do not carry useful information
• Situations where a single session should not be over-interpreted
• Symbols where the chart exchange timezone does not match the intended session model
🎛️ Key Inputs
• Asia Session → defines the first session window used to build the initial bias.
• London Session → defines the second session window used to evaluate the Asia handoff.
• New York Session → defines the third session window used to evaluate the London handoff.
• Max Chart TF Minutes → limits the largest timeframe that should build the relay map.
• Bias Confirmation Threshold → controls how strong a session must be before it can confirm a relay.
• Conflict Threshold → controls when a session is treated as weak or conflicted.
• Minimum Handoff Bars → prevents early-session noise from printing premature relay labels.
• Use Volume Confirmation → adds relative volume pressure to the bias score.
• Show Session Boxes → controls the main visual range boxes.
• Show Relay Event Labels → controls confirmation, conflict, and reversal labels.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the session relay story.
Session boxes define the time windows.
Centered labels make each session readable without hunting through the chart.
Relay labels highlight the important handoff moments.
Right-side tags keep the current state visible.
The AG Pro panel summarizes the active session context in a clean, compact format.
🧪 Practical Usage Workflow
1. Choose session windows that match the market being studied.
2. Let Asia build the first bias leg.
3. Watch whether London confirms, conflicts with, or reverses Asia.
4. Watch whether New York confirms, conflicts with, or reverses London.
5. Use the panel to check relay state, active bias, quality score, and timeframe scope.
6. Interpret the result inside broader market structure, liquidity, and volatility context.
🔍 Interpretation Guidelines
A relay confirmation does not guarantee continuation. It means the active session is supporting the prior session's directional bias according to the script's rule set.
A relay reversal does not guarantee a full trend reversal. It means the active session is building strong opposite pressure relative to the previous session.
A bias conflict is not a failure. It is useful information that the market narrative is not clean.
The best use is contextual: combine the relay state with support, resistance, liquidity, volume, and higher-timeframe structure.
🚫 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 generic session box indicator.
It is not a kill-zone strategy.
⚠️ Limitations & Transparency
Session settings matter. Poorly selected session windows can produce weak or misleading context.
Timeframe differences can affect how session handoffs appear.
Low-liquidity markets can distort bias scores.
Markets with irregular trading hours may need custom session inputs.
Relative volume can help, but it does not guarantee better interpretation in every market.
🧠 Market Context Notes
Session behavior is often shaped by liquidity, regional participation, volatility expansion, and macro timing.
The same relay state can mean different things depending on whether the market is trending, ranging, or reacting to news.
The script is strongest when used as a narrative map, not as a standalone decision machine.
🧾 Use Case Examples
• If Asia builds a bullish range and London also closes with strong bullish pressure, the relay may show confirmation.
• If Asia builds bullish pressure but London quickly forms strong bearish pressure, the relay may show reversal.
• If London begins with weak movement and no clear range pressure, the relay may show conflict or wait for more evidence.
🧱 System Philosophy
Session Bias Relay Map is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders see market context faster without turning analysis into signal spam.
🔐 Non-Promise Statement
No script can know the future.
No session handoff is guaranteed.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how market participation changes across sessions.
The value is not only in the label. The value is in learning how the session narrative develops, confirms, conflicts, or reverses over time.
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