Signal Projection ExplorerMany traders focus on building full strategies right away — combining entries, exits, stop-losses, take-profits, filters, and position sizing.
But there is a problem with that approach:
👉 It often hides the true quality of the underlying signal.
When multiple layers are added on top (risk management, opposite signals, overlays), it becomes very difficult to answer a simple but critical question:
“Is this signal actually good on its own?”
🎯 What this indicator does
This tool is designed to analyze raw signals in isolation.
Instead of jumping straight into a full strategy, it lets you explore:
👉 What tends to happen to the price after a signal occurs?
🔍 How it works
The script detects signals in historical data (Golder Cross in this script).
It collects all occurrences of those signals.
For each signal, it tracks price performance over the next X bars.
It then builds a distribution of outcomes and projects it forward from the current price.
📈 What you see on the chart
Instead of a single prediction, you get a range of historical outcomes:
🔴 Worst P&L → maximum adverse move after the signal
🟢 Best P&L → best-case outcome
🔵 25th percentile → lower bound of typical outcomes
🟠 75th percentile → upper bound of typical outcomes
⚪ Mean → average path
🟣 Median → typical (robust) path
All of these are projected forward from the current price, giving you an intuitive view of possible scenarios.
📋 Stats Table
The table summarizes key metrics at the selected projection horizon:
Number of signals used
Final P&L for each line (Worst / Best / Percentiles / Mean / Median)
Distribution metrics like Spread and IQR
This gives you a quick read on:
Expected return
Risk range
Outcome dispersion
🧠 Why this matters
This tool helps you:
Separate signal quality from strategy complexity
Understand risk vs reward before adding filters
Avoid overfitting strategies on weak signals
Build better systems from strong foundations
⚠️ Important note
This is not a prediction tool.
It shows historical tendencies based on past signals — not guaranteed future outcomes.
Always use it as:
a research tool
a context layer
not a standalone trading system
🚀 Final thought
Before optimizing entries, exits, and risk…
👉 Make sure your signal itself has an edge.
This indicator helps you see that clearly.
Indicator
BTC Valuation Cycle [Alpha Extract]A sophisticated multi-metric Bitcoin valuation framework that synthesizes on-chain analytics including SOPR, MVRV, Price-to-Realized, and Mayer Multiple into a unified 0-100 cycle oscillator with six-tier zone classification for market cycle identification. Utilizing logistic transformation with configurable weighting and z-score normalization, this indicator delivers institutional-grade Bitcoin-specific valuation assessment with pivot-based extreme detection and comprehensive alert system. The system's weighted composite architecture combined with adaptive curve intensity enables precise calibration of cycle sensitivity while maintaining statistical validity across Bitcoin's multi-year market cycles.
🔶 Advanced Multi-Metric Synthesis Engine
Implements sophisticated composite calculation combining four distinct Bitcoin valuation metrics with configurable weighting and normalization framework. The system retrieves SOPR (Spent Output Profit Ratio), MVRV (Market Value to Realized Value), Price-to-Realized ratio, and Mayer Multiple from on-chain sources, applies z-score normalization to each metric over configurable periods, transforms via logistic function for 0-100 scaling, and generates weighted average creating unified cycle score.
// Component Score Calculation
SOPR_Centered = SOPR - 1.0
SOPR_Z = z_score(SOPR_Centered, Normalization_Length)
SOPR_Score = logistic_100(SOPR_Z, Curve_Intensity)
Price_to_Realized_Z = z_score(Price / Realized_Price, Normalization_Length)
PR_Score = logistic_100(Price_to_Realized_Z, Curve_Intensity)
MVRV_Z = z_score(Market_Cap / Realized_Cap, Normalization_Length)
MVRV_Score = logistic_100(MVRV_Z, Curve_Intensity)
Mayer_Z = z_score(Mayer_Multiple, Normalization_Length)
Mayer_Score = logistic_100(Mayer_Z, Curve_Intensity)
// Weighted Composite
Cycle = (SOPR_Score × W_SOPR + PR_Score × W_PR + MVRV_Score × W_MVRV + Mayer_Score × W_Mayer) / (W_SOPR + W_PR + W_MVRV + W_Mayer)
🔶 Understanding Bitcoin Valuation Metrics
SOPR (Spent Output Profit Ratio) measures the degree of profit for coins moved on-chain, calculated as value sold divided by value paid. Values above 1.0 indicate profitable selling (distribution), below 1.0 indicate loss-taking (capitulation). The system centers SOPR around 1.0 for normalization.
MVRV (Market Value to Realized Value) compares current market cap to realized cap (aggregate cost basis). High MVRV signals overvaluation as price exceeds average acquisition cost; low
MVRV suggests undervaluation. The system offers Ratio mode (raw MVRV), Z-Score mode (statistical deviation), or Blend mode (average of both).
Price-to-Realized Ratio directly compares current BTC price to realized price (realized cap divided by circulating supply), providing cleaner valuation signal than MVRV by removing market cap distortions.
Mayer Multiple measures price relative to 200-day moving average. Values above 2.4 historically mark tops; values near or below 1.0 mark bottoms. The system normalizes this classic technical indicator alongside on-chain metrics.
🔶 Logistic Transformation Framework
Features sophisticated logistic function application converting unbounded z-scores into bounded 0-100 range with configurable curve intensity controlling sensitivity. The system applies formula: 100 / (1 + exp(-z × k)) where z is z-score and k is curve intensity (default 0.90), creates S-curve transformation preserving relative relationships while preventing extreme outliers, and enables smooth gradient visualization across entire cycle range.
🔶 Six-Tier Cycle Zone Classification
Implements comprehensive market cycle framework dividing 0-100 range into six distinct zones with configurable thresholds representing Bitcoin's characteristic bubble and bust patterns. The system defines Bottom Extreme (default <10, accumulation zone), Cold Zone (10-25, early recovery), Lower Mid (25-40, neutral to bullish), Upper Mid (40-60, bullish), Hot Zone (60-75, late bull market), and Top Extreme (>75, euphoria/distribution) with dynamic color coding.
🔶 Pivot-Based Extreme Detection System
Provides intelligent local extreme identification using pivot high/low detection with zone threshold filtering and visual capsule markers. The system detects pivot highs above Hot Zone threshold and pivot lows below Cold Zone threshold using configurable left/right bars, creates horizontal capsule visualizations at exact extreme values with color-coded centers (red for tops, cyan for bottoms), and maintains rolling array limited to maximum capsule count for clean chart presentation.
🔶 MVRV Calculation Mode Selection
Offers three distinct MVRV calculation approaches optimizing for different market conditions and analytical preferences. Ratio mode uses raw Market Cap / Realized Cap for direct valuation comparison, Z-Score mode applies statistical normalization emphasizing deviations from historical mean, and Blend mode (default) averages both approaches balancing absolute valuation with statistical context for robust signal generation.
🔶 Configurable Metric Weighting System
Features flexible weight allocation enabling traders to emphasize preferred metrics or disable unreliable components during specific market regimes. The system accepts 0.0-N weight values for each metric (default 1.0 all equal), automatically handles missing data by excluding NA metrics from composite, recalculates weighted average dynamically, and enables custom cycle calibration based on trader's confidence in different on-chain signals.
🔶 Confirmed HTF Data Integration
Implements rigorous anti-repaint methodology using confirmed higher-timeframe values with offset preventing live bar distortion. The system retrieves all on-chain metrics from daily timeframe with 1-bar offset ensuring only completed daily candle data influences cycle score, applies identical offset to Mayer Multiple calculation, and maintains signal stability across real-time updates preventing false extreme alerts.
🔶 Comprehensive Alert Framework
Provides five distinct alert conditions covering critical cycle events and threshold breaches with descriptive messages. The system triggers Top Extreme alert on crossover above top threshold (default 90), Bottom Extreme alert on crossunder below bottom threshold (default 10), Hot Rejection alert when cycle falls from Hot Zone, Cold Reclaim alert when cycle rises from Cold Zone, and Mayer Threshold breach alert for traditional technical confirmation.
🔶 Gradient Zone Visualization Architecture
Creates intuitive color-coded area plot with six distinct color zones reflecting current cycle position through visual spectrum from cyan (extreme bottom) through purple/orange to red (extreme top). The system applies dynamic zone coloring to both area fill and cycle value display, implements configurable area transparency (default opaque), and maintains consistent color scheme across oscillator pane, table values, and capsule markers.
🔶 Real-Time Diagnostics System
Features comprehensive data availability monitoring with missing metric labels and detailed value table showing all component metrics. The system detects NA values in SOPR, Realized Price, MVRV, or Mayer Multiple, displays warning label listing unavailable metrics, and provides table overlay showing current values for Cycle score, all four components, MVRV-Z, Mayer MA, and threshold with color-coded formatting.
🔶 Performance Optimization Framework
Employs efficient calculation methods with null-safe division functions, optimized array management for capsule storage, and conditional plotting minimizing unnecessary rendering. The system includes streamlined weighted average calculation skipping NA metrics, smart capsule cleanup maintaining maximum limit through oldest-first deletion, and minimal recalculation overhead through var declarations and confirmed bar logic.
This indicator delivers sophisticated Bitcoin-specific valuation analysis through multi-metric on-chain synthesis unavailable in traditional technical indicators. By combining SOPR (profit/loss behavior), MVRV (cost basis valuation), Price-to-Realized (pure valuation), and Mayer Multiple (technical context) into unified cycle framework with statistical normalization, it provides comprehensive market cycle assessment grounded in blockchain fundamentals. The six-tier zone system maps directly to Bitcoin's characteristic 4-year halving cycles with Bottom Extreme zones historically marking generational buying opportunities and Top Extreme zones marking distribution phases. Perfect for long-term Bitcoin investors seeking data-driven cycle timing, position sizing based on valuation extremes (increase allocation in Cold/Bottom zones, reduce in Hot/Top zones), and objective framework for navigating Bitcoin's volatile multi-year cycles with alerts providing advance warning of major cycle transitions requiring portfolio reassessment. Indicator
Rolling Midpoint Engine [AGPro Series]Rolling Midpoint Engine
### Overview
Rolling Midpoint Engine is an on-chart study that converts the geometric midpoint of the last N bars' high-low range into a living control line. The midline is tracked through three behavioral states — Accepted Above, Accepted Below, and Fight — and a fourth modifier (Strong) highlights high-conviction acceptance beyond an ATR threshold. The goal is to surface how price behaves around a single dominant reference level, not to predict direction or issue trade signals.
### Unique Edge
Most midpoint tools plot a static line and let the user eyeball whether price accepts or rejects it. Rolling Midpoint Engine formalises that observation into a finite state machine that requires consecutive body-closes on one side of the midline before declaring acceptance. This filters single-bar noise and distinguishes casual tags from genuine commitment. The ATR-based Strong modifier adds a second axis of information — how firmly the current side is being held — without multiplying states or cluttering the chart with additional lines.
### Methodology
The midline is computed as the average of the highest high and the lowest low over a user-defined rolling window. Optional light EMA smoothing reduces visual jitter without materially shifting the level; a Strict Reset mode disables smoothing for pure rolling output.
Acceptance is evaluated through two streak counters tracking consecutive closes (or full bars, if the user prefers a stricter rule) on each side of the midline. When a streak reaches the Acceptance Bars threshold, the state transitions to Accepted Above or Accepted Below. If the running streak is positive but below threshold, the state is Fight. A Strong flag activates whenever the current distance from the midline exceeds a configurable ATR multiple.
All logic uses confirmed bar closes. The script does not repaint historical states once a bar has closed.
### States & Alerts
States:
- Fight — price is oscillating around the midline without sustained commitment
- Accepted Above — body-closes above the midline for the required number of bars
- Accepted Below — body-closes below the midline for the required number of bars
- Strong (modifier) — current Accepted state is held beyond the ATR threshold
Alerts:
- Midline Crossed Up / Down — raw price cross of the midline
- Accepted Above / Below — state transitions into acceptance
- Midline Rejection — state flip between Accepted Above and Accepted Below, or collapse from an Accepted state back to Fight
### Key Inputs
- Rolling Length — number of bars defining the range window
- Strict Reset Mode — toggle between pure rolling midline and lightly smoothed output
- Acceptance Bars — consecutive body-closes required for acceptance
- Use Body Close vs. Full Bar — strictness of the side-determination rule
- Strong Threshold — ATR multiple that qualifies an accepted side as Strong
- Label Style / Size — Edge Only, Edge + Transitions, or Off
- Panel Location / Theme / Font Size — four corners plus Middle Right, Dark / Light / Auto themes
- Color Midline by State — toggle state-coloring on the dominant line
### How to Use
Apply the indicator to any symbol and timeframe. The midline acts as a rolling control level; the state label on the right edge summarises the current behavior. Treat Accepted Above / Below as evidence that the midline is holding as support or resistance on the corresponding side. A transition into Strong indicates the holding is well beyond routine noise. A rejection event — the state flipping or collapsing back to Fight — suggests the prior control has been compromised.
This is a contextual reading tool. It does not produce entries, exits, targets, or stops, and should not be read as a recommendation to transact.
### Limitations & Transparency
The midline reflects past price data only and will adapt as new highs or lows enter the rolling window. On illiquid or very low-timeframe charts, the streak-based acceptance logic can feel slow; increasing Acceptance Bars on noisier instruments or lowering it on cleaner ones is expected tuning. The Strong Threshold is volatility-relative via ATR but still an arbitrary cut — defaults are calibrated for typical liquid markets and may need adjustment for thinly traded symbols.
The script uses confirmed closes and does not alter historical state once a bar has closed. Intrabar, the displayed state can update in line with current price, as with any live indicator.
### Risk Disclosure
This indicator is an analytical study. It is not a strategy, not a signal service, and not financial advice. It does not forecast future prices and does not guarantee any outcome. Past behavior of price around the midline does not imply future behavior. Every trading decision is the sole responsibility of the user. Use appropriate risk management and test the tool in a non-committed environment before incorporating it into any workflow. Indicator
Adaptive Volume Concentration Levels + Volume-Price Shift BoxDescription
Adaptive Volume Concentration Levels + Volume-Price Shift Box combines two powerful market analysis concepts into one streamlined tool: adaptive volume-based support and resistance mapping, and a real-time volume-price flow dashboard.
The script identifies the most meaningful price zones based on where volume has concentrated over a chosen lookback range, helping highlight areas where the market has shown strong interest. At the same time, it displays a compact shift box that evaluates price, volume, VWAP, OBV, A/D behavior, and momentum to estimate whether market pressure is currently bullish, bearish, or neutral.
This makes the script useful for traders who want both structural levels and contextual order-flow style bias in a single indicator.
How It Works
The script has two main components:
-Adaptive Volume Concentration Levels
It scans historical price action over a customizable lookback period.
Price is divided into bins, and volume is accumulated into those bins.
The script then selects the highest-volume zones and converts them into horizontal support/resistance levels.
A higher timeframe option and smoothing feature can be used to reduce noise and reveal more stable levels.
Levels can be displayed with custom colors, line styles, transparency, and optional percentage labels.
- Volume-Price Shift Box
The dashboard evaluates several internal conditions:
VWAP trend and price distance from VWAP
OBV trend and OBV acceleration
A/D line trend
Relative volume versus average volume
Price momentum
Weighted bullish and bearish scores are calculated from these components.
The final shift score determines whether the current state is:
Bullish
Bearish
Neutral
The box then displays key readings such as shift strength, volume vs average, VWAP distance, shift duration, and OBV state.
Key Features
Adaptive volume-based support and resistance detection
Dual SR logic for identifying important high-volume price zones
Optional higher timeframe processing for cleaner structure
Price smoothing to reduce noise in level calculation
Customizable level count, bin density, transparency, labels, and styling
Real-time shift box with bullish, bearish, or neutral bias
Weighted scoring model using VWAP, OBV, A/D, volume, and momentum
Shift strength readout for quick bias confirmation
Shift duration tracking to show how long the current condition has persisted
Clean visual layout that combines structure and flow into one script
How to Use
Start by applying the indicator to your chart and adjusting the level settings based on your trading style.
For the volume concentration levels:
Increase the lookback if you want broader, more established levels.
Increase the number of bins for finer price granularity.
Use the minimum volume filter to remove weaker levels.
Turn on the higher timeframe option if you want more stable zones from a broader market perspective.
For the shift box:
Use the default settings first, then adjust sensitivity and component weights to better match your market and timeframe.
Watch for bullish or bearish shifts when price approaches one of the plotted volume levels.
Use the strength reading to judge whether the bias is weak or decisive.
Monitor duration to see whether the current directional pressure is fresh or extended.
A practical workflow is:
Use the horizontal levels as reaction zones
Use the box to judge whether current pressure supports continuation or rejection from those zones
Combine both with your existing entry and risk management rules
How It Helps
How It Helps
This script helps simplify decision-making by combining where price is likely to react with how price and volume are behaving right now.
The volume concentration levels help traders identify:
likely support and resistance
potential reaction zones
areas of prior market agreement or interest
The shift box helps traders evaluate:
whether buyers or sellers currently have control
whether momentum and volume are aligned
whether market pressure is strengthening or fading
Used together, the tool can help with:
trade location
directional confirmation
filtering weak setups
improving timing around important price zones
It is especially useful for traders who want a clearer view of both market structure and current flow conditions without cluttering the chart with multiple separate indicators.
Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, trading recommendations, or an offer or solicitation to buy or sell any financial instrument.
All indicator outputs, classifications (including bullish, bearish, or neutral states), and visual elements are derived from historical market data using user-defined parameters. These outputs are interpretive in nature and do not predict future market performance or guarantee any specific result.
Trading financial instruments involves substantial risk, including the risk of loss exceeding initial capital. Market conditions may change rapidly due to factors outside the scope of this indicator, including but not limited to economic events, news releases, liquidity conditions, execution quality, and slippage.
The developer assumes no responsibility or liability for any trading decisions, losses, or damages arising directly or indirectly from the use of this indicator. Users are solely responsible for evaluating the suitability of this tool for their own trading objectives, risk tolerance, and market conditions.
Past performance, indicator behavior, or historical alignment of signals does not guarantee future results. Use of this indicator constitutes acceptance of these terms.
Indicator
AG Pro Daily Open Acceptance Map [AGPro Series]AG PRO DAILY OPEN ACCEPTANCE MAP
OVERVIEW
AG Pro Daily Open Acceptance Map is an intraday overlay built to track how price behaves around the current daily open and to present that behavior in a clean, rules-based structure. Instead of treating the daily open as a passive reference line, this script evaluates whether price is being accepted above it, accepted below it, or repeatedly failing around it.
The core design goal is clarity. Many traders use the daily open as a contextual anchor, but in practice it is often shown as only a simple line with no structured interpretation. This script is designed to go one step further by turning that level into a mapped decision framework. The result is a chart that helps users read whether the market is holding one side of the daily open with acceptance, drifting into indecision, or failing to maintain directional control.
This tool is intentionally narrow in scope. It is not built as a full market structure engine, a session model, a prior high/low dashboard, a VWAP tool, or a moving average framework. Its role is much more specific: to organize the behavior of price around the daily open and to express that behavior through a compact state model, visual reference lines, and confirmed state transitions.
Because the daily open resets every trading day, the script also produces a recurring intraday reference that can be reused across many symbols and market conditions. This makes it useful for users who prefer repeatable visual anchors instead of highly discretionary chart interpretation.
WHAT IT DOES
This script identifies the current daily open and treats it as the primary intraday reference level. From there, it evaluates whether price is holding above the level, holding below the level, or still testing the area without confirmation. It also tracks the first reclaim event when enabled, allowing users to see whether the market has recovered one side of the level after losing it earlier in the day.
The overlay is structured so the current daily open remains the main visual anchor, while the previous daily open can be shown as a lighter secondary context level. Acceptance areas and state mapping are kept as supporting elements rather than replacing the open itself. This keeps the chart readable while still preserving a visual record of how the market behaved around the level throughout the session.
In practical terms, the script helps answer a simple but important question: is price truly holding one side of the daily open, or is it only rotating around it without meaningful acceptance?
HOW THIS DIFFERS FROM OTHER AG PRO TOOLS
This script is intentionally separated from the logic families used in other AG Pro tools.
It does not rely on VWAP behavior.
It does not build decisions from EMA or moving average relationships.
It does not classify price by prior day or prior week high/low structures.
It does not depend on sweep, stop hunt, liquidity trap, or session-kill-zone logic.
It does not function as a structure label, breakout, or order-flow style engine.
The purpose here is much more focused. AG Pro Daily Open Acceptance Map is a daily-open behavior tool. Its main question is not whether a breakout happened, whether liquidity was taken, or whether a trend indicator flipped. Its main question is whether the market is accepting or rejecting one side of the current daily open.
That narrow positioning is deliberate. It helps keep the chart logic cleaner, the visual language simpler, and the use case easier to understand.
UNIQUE EDGE
The unique edge of this script is not the presence of a daily open line by itself. Many tools can plot a daily open. The distinctive part of this indicator is the state framework built around that line.
Instead of only drawing the level, the script evaluates market behavior around it and converts that into a practical overlay language. The chart can therefore communicate whether the market is in bullish acceptance, bearish acceptance, or unresolved testing, rather than forcing the user to interpret every interaction manually.
The script also separates the current daily open from the previous daily open in a clear visual hierarchy. The current open is treated as the primary live anchor, while the previous open is optional secondary context. This helps users compare the active intraday reference against the prior session without turning the chart into a multi-level dashboard.
Another advantage is that the visual model remains compact. The script is designed to offer information density without becoming visually noisy, which is especially important on publish screenshots and on charts where traders prefer a clean price-first layout.
METHODOLOGY
The script starts by identifying the current daily open and, when enabled, the previous daily open. The current daily open becomes the main reference for all live state calculations.
From there, the script measures whether price is sustaining closes above the level, sustaining closes below the level, or remaining in a testing state around the level. The filter mode can be adjusted to make the interpretation more responsive or more selective. In more permissive settings, state shifts can appear earlier. In stricter settings, price generally needs cleaner confirmation before a state is recognized.
When reclaim logic is enabled, the script also monitors whether one side of the daily open is recovered after being lost earlier in the day. This is not treated as a separate prediction model. It is simply an additional contextual event that can help users understand whether the market is recovering control around the open after temporary failure.
The acceptance area, open zone, and state ribbon are visual support layers. They are not intended to replace price or overwhelm the chart. Their purpose is to make the interpretation easier to read while keeping the current daily open as the main anchor.
SIGNALS AND ALERTS
The script supports confirmed-bar style logic so that state changes can be tracked in a more stable way. Depending on the enabled settings, users can monitor:
Bullish acceptance conditions
Bearish acceptance conditions
Testing or unresolved behavior around the daily open
First reclaim context when enabled
General state transitions when the market changes side or loses control
These alerts and visual states are intended for chart organization and condition awareness. They should not be interpreted as guaranteed trade outcomes, guaranteed continuation signals, or automated execution instructions.
KEY INPUTS
FILTER MODE
Users can switch between stricter and more responsive behavior depending on how selective they want the state model to be.
HOLD / CONFIRMATION SETTINGS
These controls affect how much sustained price behavior is required before the script recognizes an accepted state.
TOLERANCE AND OPEN ZONE SETTINGS
These help define how tightly or loosely the script interprets price behavior around the daily open area.
FIRST RECLAIM SETTINGS
These controls determine whether reclaim events are tracked as part of the daily open behavior model.
DISPLAY SETTINGS
Users can control whether the current daily open, previous daily open, acceptance area, ribbon, labels, and panel elements are shown.
VISUAL SIZE SETTINGS
Panel and label sizing can be adjusted depending on symbol volatility, screen resolution, and chart density preferences.
LIMITATIONS AND TRANSPARENCY
This script is not a forecasting engine. It does not predict where price must go next. It evaluates how price is behaving relative to the current daily open and displays that information in a structured way.
It is also not a substitute for complete market analysis. It does not include broader trend context, liquidity analysis, volume profile logic, macro structure interpretation, news impact, or instrument-specific catalysts unless the user applies those separately.
Different symbols and timeframes can also produce different daily open behavior. In some instruments the daily open may act as a very strong intraday reference, while in others price may rotate around it more loosely. Because of that, the script should be interpreted as a contextual decision aid rather than a universal standalone solution.
The previous daily open is included only as optional secondary context. It does not drive the main state model. The main live logic is built around the current daily open.
RISK DISCLOSURE
This script is provided for market analysis, chart organization, and educational use. It does not provide financial advice, investment advice, or guaranteed trade signals. No indicator can remove market risk, and no visual state model can ensure a profitable result.
Traders should use their own judgment, position sizing rules, and risk management process before making any decision. This tool can help structure chart interpretation, but execution responsibility always remains with the user.
Indicator
Confluence Matrix [JOAT]Confluence Matrix
Introduction
Every component in a professional trading system should serve a purpose, and ideally, no single component should bear the entire weight of decision-making alone. The best entries occur when multiple independent analytical methods all point in the same direction simultaneously — a confluence event that dramatically raises the probability that the observed setup reflects genuine market structure rather than random noise. The Confluence Matrix is built around this philosophy, integrating six distinct analytical modules into a single, cohesive overlay indicator with a unified seven-point scoring framework that gates every trade entry.
The six integrated modules are: HEMA regime analysis (three-layer Hull-EMA Hybrid with two-bar confirmation), Break of Structure and Change of Character market structure (swing pivot-based BOS and CHoCH detection), a triple-smoothed Fibonacci channel (0.618, 1.618, and 2.618 bands around a triple-EMA basis), an ATR compression detection engine (volatility squeeze state), Z-score cumulative impulse detection (statistically significant momentum streaks), and an OLS linear regression combined with cumulative delta proxy and volume RSI. Each module contributes one integer point to a directional score. Entries require a minimum score threshold — meaning price must be supported by a configurable number of simultaneously aligned modules before a position is opened.
Beyond signal generation, the indicator includes a simulated position tracking system that monitors open virtual positions with defined entry prices, take-profit levels, stop-loss levels, and a trailing stop mechanism. This system does not execute real trades — it visualizes what a rule-based system following the indicator's own signals would have done, providing an educational and contextual layer that helps users understand how the signals sequence in live trading conditions. All trade signals are confirmed-bar only, with no look-ahead repainting. The fifteen-row dashboard, ten alert conditions, and extensive visual customization options make this the most comprehensive single-overlay indicator in the JOAT suite.
Core Concepts
1. HEMA Three-Layer Regime with Two-Bar Confirmation
The HEMA (Hull-EMA Hybrid) forms the structural backbone of the regime assessment. Three independent HEMA instances at periods 20, 50, and 100 represent the fast, mid, and slow trend layers. Full bull regime requires ascending order of all three (fast above mid above slow). Full bear regime requires descending order. The two-bar confirmation state machine requires two consecutive bars of raw alignment before the confirmed regime variable updates — preventing rapid back-and-forth flipping on borderline crossovers.
f_hema(src, len) =>
ta.ema(2 * ta.ema(src, len / 2) - ta.ema(src, len), math.round(math.sqrt(len)))
hema1 = f_hema(close, 20)
hema2 = f_hema(close, 50)
hema3 = f_hema(close, 100)
rawBull = hema1 > hema2 and hema2 > hema3
rawBear = hema1 < hema2 and hema2 < hema3
confBull = rawBull and rawBull
confBear = rawBear and rawBear
The CHoCH (Change of Character) logic builds directly from this: a bullish BOS that occurs while confBear is true represents structural bullish momentum emerging from within a confirmed bear regime — the first evidence of potential regime reversal.
2. BOS and CHoCH with Visual Lines
Break of Structure detection uses ta.pivothigh and ta.pivotlow to track prior swing levels. BOS events draw labeled lines on the chart: teal/red for standard BOS continuation, violet-dashed for CHoCH. All line drawing uses line.new() with fixed coordinates on confirmed bars, and extends the right endpoint to the next BOS event for visual continuity across the chart.
chochUp = bosUp and confBear
chochDn = bosDn and confBull
lineStyle = (chochUp or chochDn) ? line.style_dashed : line.style_solid
lineColor = chochUp ? color.purple : bosUp ? color.teal : chochDn ? color.purple : color.red
3. Triple-Smoothed Fibonacci Channel
The Fibonacci channel applies the same triple-EMA smoothing used in the FVC indicator to produce a noise-resistant basis line, then projects Fibonacci-ratio bands (0.618, 1.618, 2.618) both above and below using ATR or standard deviation as the volatility measure. Within the Confluence Matrix, the channel serves a dual purpose: its own slope defines the "fib trend" score contribution, and its band levels serve as reference zones for proximity analysis.
basis = ta.ema(ta.ema(ta.ema(hlc3, basisLen), basisLen), basisLen)
fibTrend = basis > basis ? 1 : basis < basis ? -1 : 0
The 0.618 and 1.618 inner bands are filled with a gradient between basis and inner band, with the fill opacity tied to the confirmed regime — teal fills in bull regime, red fills in bear regime, gray in neutral.
4. ATR Squeeze Detection
The ATR squeeze module uses the same compression ratio logic as the VSO indicator: comparing a short-term EMA-smoothed ATR against a longer baseline to determine whether volatility is contracting or expanding. When volatility is contracting (squeezing), the squeeze score contribution is zero — the market is not yet expressing directional energy. When volatility is expanding, the module contributes to the appropriate directional score.
atrShort = ta.ema(ta.tr(true), sqzLen)
atrLong = ta.ema(atrShort, sqzLen * 2)
squeezing = atrLong > atrShort
sqzOK = not squeezing
5. Z-Score Cumulative Impulse
The Z-score impulse module tracks separate cumulative bull and bear momentum streaks, normalizes them against rolling sma/stdev, and marks statistically significant events with diamond markers (◆) plotted above and below the price bars. These markers are displayed at confirmed bars only. The Z-score values for both directions are shown in the dashboard and contribute one point each to the long and short scores when their respective thresholds are exceeded.
cumBull := close > close ? nz(cumBull ) + (close - close ) : 0
cumBear := close < close ? nz(cumBear ) + (close - close) : 0
zBull = (cumBull - ta.sma(cumBull, zLen)) / ta.stdev(cumBull, zLen)
zBear = (cumBear - ta.sma(cumBear, zLen)) / ta.stdev(cumBear, zLen)
6. OLS Regression, Delta Proxy, and Volume RSI
The sixth analytical layer combines three sub-components. The OLS linear regression (using the same manual implementation as the ARO indicator) provides the Pearson R correlation quality metric and theta angle, which together determine whether the regression score contributes. The cumulative delta proxy (bar-range-based buying/selling pressure estimate) determines the delta directional score. Volume RSI (RSI applied to volume series) provides the volume quality gate. All three sub-components are evaluated in the context of long or short scoring.
regressionScore = pearsonR > minR and math.abs(theta) > minTheta ? (theta > 0 ? 1 : -1) : 0
deltaScore = deltaPos ? 1 : -1
volumeScore = highVol ? (localBull ? 1 : -1) : 0
7. Seven-Point Confluence Scoring
Each of the six modules contributes one integer point to either the long score or the short score (some modules contribute to both). The seven scoring variables (ls1 through ls7 for long, ss1 through ss7 for short) are summed individually so each module's contribution is transparent and auditable. The minimum score threshold (default: 5 of 7) gates entry conditions.
ls1 = confBull ? 1 : 0 // HEMA regime
ls2 = lastBOSDir == 1 ? 1 : 0 // Last BOS direction
ls3 = fibTrend == 1 ? 1 : 0 // Fibonacci channel trend
ls4 = sqzOK ? 1 : 0 // Squeeze OK (not compressing)
ls5 = regressionScore == 1 ? 1 : 0 // Regression + Pearson
ls6 = deltaPos ? 1 : 0 // Delta proxy bullish
ls7 = highVol and localBull ? 1 : 0 // Volume RSI + local trend
longScore = ls1 + ls2 + ls3 + ls4 + ls5 + ls6 + ls7
8. Simulated Position Tracking with Trailing Stop
The position tracker uses persistent var variables to track open trade state. Entry occurs when a BOS trigger or HEMA crossover fires, the score meets the minimum threshold, the bar is confirmed, and no position is currently open in that direction. Stop-loss is set at ATR below the entry for longs (above for shorts). Take-profit is set at a multiple of ATR from entry. The trailing stop mechanism moves the SL to breakeven once the position has moved one ATR in the favorable direction — locking in capital protection once momentum is confirmed.
var int posDir = 0
var float openTP = na
var float openSL = na
var float entryPx = na
longEntry = (bosUp or hemaXover) and longScore >= minScore and barstate.isconfirmed and posDir <= 0
if longEntry
posDir := 1
entryPx := close
openTP := close + atr14 * tpMult
openSL := close - atr14 * slMult
// Trailing stop to breakeven
if posDir == 1 and high - entryPx > atr14
openSL := math.max(openSL, entryPx)
Exits occur on TP hit, SL hit, or confirmed regime flip opposing the position direction (confBear while long, confBull while short).
9. Proximity-Gradient Bar Coloring
Bar colors are driven by the distance between the current close and the HEMA mid layer (hema2), normalized by the range between the fast and slow HEMA layers. This produces a bar coloring scheme that reflects not just direction but the degree of extension relative to the HEMA structure's own internal spread — a more dynamically calibrated proximity measure than a fixed ATR reference.
hemaRange = math.abs(hema1 - hema3)
hemaDist = hemaRange > 0 ? math.abs(close - hema2) / hemaRange : 0
hemaProxAlpha = math.min(math.round(hemaDist * 60), 75)
Features
Six Integrated Modules: HEMA regime, BOS+CHoCH structure, Fibonacci channel, ATR squeeze, Z-score impulse, and OLS regression+delta+volume all active simultaneously.
Seven-Point Scoring System: Each module contributes one point to a transparent, auditable confluence score with configurable minimum threshold for entry.
Two-Bar HEMA Confirmation: Prevents false regime transitions on single-bar HEMA crossovers.
CHoCH Detection: BOS events opposing the confirmed regime are classified as Change of Character and drawn with violet dashed lines.
Z-Score Diamond Markers: Statistically significant momentum streak markers displayed as ◆ above and below bars on confirmed events.
Triple-Smoothed Fibonacci Channel: 0.618, 1.618, and 2.618 bands with regime-conditional gradient fills.
Simulated Position Tracking: Virtual positions with TP, SL, and trailing stop to breakeven — visualizing the signal system in action.
Proximity-Gradient Bar Coloring: HEMA-internal-range-normalized distance drives bar color alpha for structure-relative visual encoding.
BOS Lines: Teal/red for continuation BOS, violet dashed for CHoCH — drawn at confirmed bars with horizontal extensions.
Fifteen-Row Dashboard: Position direction, regime, last BOS, CHoCH state, fib trend, volatility, Pearson R, theta, bull Z, bear Z, volume RSI, delta proxy, long score, short score, and minimum score threshold.
Ten Alert Conditions: Long entry, short entry, long exit, short exit, CHoCH up, CHoCH down, bull impulse, bear impulse, BOS up, BOS down — all as constant string alerts.
Input Parameters
HEMA Settings:
Fast/Mid/Slow Lengths: HEMA layer periods (defaults: 20, 50, 100)
Structure Settings:
Swing Length: Pivot lookback for BOS/CHoCH detection (default: 10)
Fibonacci Channel Settings:
Basis Length: Triple-EMA period (default: 20)
Volatility Type: ATR or StDev (default: ATR)
Volatility Length: Period for volatility measure (default: 14)
Z-Score Settings:
Z Lookback: Rolling window for normalization (default: 50)
Z Threshold: Sigma level for impulse trigger (default: 2.0)
Regression Settings:
Regression Length: Bar count for OLS calculation (default: 50)
Min Pearson R: Minimum |R| for regression score contribution (default: 0.6)
Min Theta: Minimum angle for regression score contribution (default: 5)
Entry/Exit Settings:
Minimum Score: Points required for entry (default: 5)
TP Multiplier: ATR multiple for take-profit level (default: 2.0)
SL Multiplier: ATR multiple for stop-loss level (default: 1.0)
Display Settings:
Show HEMA Layers: Toggle individual HEMA line visibility (default: true)
Show Trend Cloud: Toggle HEMA gradient fill (default: true)
Show Fibonacci Channel: Toggle Fibonacci band fills (default: true)
Show BOS Lines: Toggle structural break lines (default: true)
Show Z Markers: Toggle diamond impulse markers (default: true)
Show Position Lines: Toggle TP/SL/entry lines (default: true)
Show Bar Colors: Toggle proximity gradient bar coloring (default: true)
Show Dashboard: Toggle the fifteen-row table (default: true)
How to Use This Indicator
Step 1: Read the Score Before Acting on Any Signal
The most important discipline when using the Confluence Matrix is to check the long score or short score before taking any action on a signal. A BOS up event alone carries one point; it does not guarantee a high-probability setup. A BOS up event accompanied by a score of 6 or 7 — meaning five or six other modules are simultaneously aligned — is a materially different situation. Begin each analysis session by reading the dashboard scores and understanding which modules are contributing and which are not.
Step 2: Use the CHoCH for Regime Change Awareness
CHoCH events are the most important structural signals in the indicator. A CHoCH up (bullish BOS during a confirmed bear regime) does not mean immediately go long — it means the structural assumption of the prior bear regime is being challenged. Wait for the regime confirmation to update, watch for the long score to rise as modules align with the new potential bull regime, and then consider entry on the next confirmed BOS in the bull direction backed by a high score. The sequence matters: CHoCH first, then regime confirmation, then high-score entry.
Step 3: Let the Simulated Position Tracker Teach Pattern Recognition
The position tracker lines (entry, TP, SL) on the chart are an educational tool. Over time, reviewing where simulated positions were opened and closed relative to the subsequent price action reveals patterns about which score thresholds, which module combinations, and which entry triggers produce the cleanest outcomes on the specific instrument you are analyzing. Use this visual feedback to calibrate your own minimum score setting and module weighting preferences.
Step 4: Manage Visual Complexity Through Selective Display
Six integrated modules produce a significant amount of simultaneous chart information. New users should start with all display elements enabled to understand the full system, then progressively toggle off elements they are not actively using for a given analysis. The dashboard always reflects the underlying calculations regardless of display settings — so even with Fibonacci fills and BOS lines hidden, the score, regime, and all module states remain visible in the dashboard.
Indicator Limitations
The simulated position tracking system is a visual and educational tool only. It does not place real orders, cannot account for slippage, spread, or commission costs, and its results should never be used as a basis for financial decisions. Simulated performance and real-world trading performance are categorically different.
The seven-module scoring system assigns equal weight to all contributing modules. In practice, some modules (e.g., HEMA regime) may carry more structural significance than others (e.g., volume RSI). The equal-weight assumption is a simplification.
Six integrated modules means six sets of parameters to configure. The default settings are calibrated for daily and 4-hour chart analysis on liquid instruments. Heavy optimization of all parameters to historical data risks overfitting — the resulting configuration may perform well on history but fail on new data.
The OLS regression component requires sufficient bars to produce stable Pearson R and theta values. In the first regression-length bars of any chart session, these values will be based on very short windows and should not be treated as reliable quality filters.
All modules operate on the chart's native timeframe. The indicator does not incorporate multi-timeframe analysis internally — users seeking MTF context should reference the MCG indicator in combination.
Proximity bar coloring uses the HEMA internal range (hema1 minus hema3) as the normalizer. When all three HEMA layers are closely clustered (flat, sideways market), this range approaches zero, which can cause division instability in the proximity calculation. A guard for this case is included but the coloring will be less informative during flat HEMA conditions.
The trailing stop to breakeven mechanism fires when the position has moved one ATR in the favorable direction. In very high-volatility conditions with large ATR values, this may mean the SL does not move to breakeven until the position is significantly extended, reducing capital protection in fast-moving markets.
Originality Statement
The Confluence Matrix is the most comprehensive indicator in the JOAT suite and represents an original architectural achievement in the design of multi-module overlay indicators.
The seven-point confluence scoring system — where six independent analytical modules each contribute a single integer vote, and entry is gated by a minimum aggregate threshold — is an original framework for combining heterogeneous technical signals into a unified, transparent decision criterion.
The combination of HEMA regime, BOS/CHoCH structure, Fibonacci channel, ATR squeeze, Z-score impulse, and OLS regression+delta+volume in a single non-repainting overlay indicator with no external indicator dependencies is an original integration not replicated by any single publicly available PulseWire indicator.
The simulated position tracking system with trailing stop to breakeven — driven entirely by the indicator's own scoring and signal conditions, visualized directly on the chart — is an original self-contained feedback mechanism for understanding the system's real-time behavior.
The CHoCH classification (BOS event opposing the confirmed two-bar regime, not merely the raw regime) adds a confirmation layer to the standard CHoCH definition that reduces false change-of-character signals during borderline regime periods.
The proximity bar coloring normalized by the internal HEMA range (hema1 minus hema3) rather than by a fixed ATR reference creates a structure-relative alpha calculation that adapts to the current degree of HEMA layer separation — a more contextually aware coloring approach than fixed-reference alternatives.
The use of ten constant-string alert conditions (not dynamic or computed strings) ensures full compatibility with PulseWire's alert system, including webhook delivery and multi-condition alert construction.
Disclaimer
The Confluence Matrix is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. The simulated position tracking feature is for educational visualization only and does not represent actual trade results. No scoring system or multi-indicator confluence framework can guarantee profitable trading outcomes. All trading involves risk, including the potential loss of principal. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity.
-Made with passion by officialjackofalltrades
Indicator
Realtime Non-Repainting EntriesName:
Realtime Non-Repainting Entries
Short title:
RT NP Entries
Summary
Realtime Non-Repainting Entries is a focused entry-only market-structure tool built around a causal transform path and reversal-confirmation logic. It is designed to mark live entry opportunities and preserve confirmed historical entry markers without turning into a full trade-management engine. Its main purpose is to provide a cleaner, more structured entry framework than raw price alone while remaining simpler and more universal than a full operational system.
This script is intentionally narrower than a full transform engine. It does not include exits, split trade management, replay reconstruction, forecast candles, or the broader integrated state logic used in a larger operational engine. Instead, it concentrates on one problem only: producing realtime entry markers from a causal transform path while keeping closed-bar historical signals stable.
How it works
The script first builds a causal transform line from raw price using ATR-scaled adaptive movement. That transform is not meant to be a full hindsight best-fit reconstruction. It is a live-updating, causal path that tries to reduce some raw-price noise while staying responsive enough to expose directional shifts.
From there, the script tracks transform swing state. When transform direction changes, it arms a reversal candidate from the prior swing extreme. That candidate is then evaluated by a small set of confirmation rules, including:
minimum transform movement away from the pivot in ATR terms
optional close-beyond-pivot-close confirmation
optional transform-direction agreement
optional raw-trend agreement
and a cooldown to reduce immediate repeat signals
When those conditions are satisfied on a closed bar, the script prints a confirmed historical entry marker. While the current bar is still forming, it can also show a live candidate marker, which may update until the bar closes. That means the script is causal and historically non-repainting on closed bars, while still being allowed to update on the current live bar.
Important behavior note
This script is best understood as:
historically stable on closed bars
live-updating on the current bar
So “non-repainting” here means confirmed historical entry markers do not rewrite after bar close. It does not mean the current unfinished bar cannot update before confirmation.
Features
causal transform path
realtime regime/state coloring
armed reversal candidates
confirmed historical long and short entries
optional live candidate markers
minimum move-away filter
optional close-beyond-pivot-close filter
optional transform agreement filter
optional raw-trend agreement filter
cooldown filter
long and short alertconditions
compact status table
Strengths
cleaner entry framing than raw-price-only flips
easy to understand and visually inspect
useful as a standalone entry tool
historically stable confirmed markers on closed bars
live candidate visibility before confirmation
simpler and more universal than a full integrated engine
does not require trade-management complexity to be useful
Weaknesses
does not solve the false-pivot problem universally
entry quality will still vary by market and timeframe
no exits, no profit handling, no loss handling
no replay-based trade-state reconstruction
no full forecast/probability layer
some filters may still remove both good and bad signals
current-bar live candidates can update before bar close
Who it’s for
This script is best suited for:
traders who want a cleaner entry-only tool
users looking for realtime directional shift markers
traders who want historically stable confirmed entry markers
users who want a simpler transform-based script
users interested in market-structure style entries without a full operational engine
Who it’s not for
This script is not best suited for:
users wanting full trade management
users expecting exits and complete automation
users expecting universal high-accuracy winner/loser separation
users wanting a full replay/stat engine
users wanting a complete forecast system
users looking for a guaranteed low-false-signal solution
Known limitations
This script is better at:
structuring entries
cleaning up directional state
and showing stable historical entry markers
than it is at:
reliably separating all future winners from losers before entry
It should be viewed as an entry-focused structure tool, not as a complete predictive engine or full trade-management system.
Final note
Realtime Non-Repainting Entries is a focused, entry-only script built around realtime causal entry structure and historically stable confirmed entry markers. It is designed to be useful and clear without turning into a full operational engine. Its value is in structuring entries more cleanly than raw price alone, not in solving the entire trading problem. Indicator
AG Pro Liquidity Heatmap [AGPro Series]AG Pro Liquidity Heatmap
Overview / What it does
AG Pro Liquidity Heatmap is a visual liquidity-mapping tool designed to project areas where resting stop interest is more likely to be concentrated. Instead of focusing on a single pattern or a one-bar signal, this script builds a forward-looking heatmap from clustered pivot behavior and displays that information as persistent horizontal liquidity bands on the chart.
The core idea is simple: repeated reactions around similar price levels often create zones where traders place stops, breakout orders, or defensive exits. When those levels begin to cluster, they can become structurally important. This script converts that clustering behavior into a heat score and renders it as layered Fire / Ice bands so traders can quickly identify where liquidity concentration may be building above or below current price.
The script is not built as a prediction engine, and it does not attempt to claim where price must go next. Its purpose is to help traders organize the chart, monitor the nearest active liquidity bands, and understand which nearby levels appear more saturated, more persistent, or already mitigated. In that sense, it is best used as a market-structure context tool rather than as a standalone entry model.
This script is also intentionally different from traditional support/resistance overlays, breakout detectors, and liquidity sweep labels. It does not merely mark recent highs and lows. It clusters pivot-derived levels, weights them into a dynamic heat score, extends them cleanly to the right side of the chart, and then updates or extinguishes them as price interacts with those zones.
Unique Edge
The unique edge of this script is that it treats liquidity as a developing field rather than a static line. A normal horizontal level script may show one prior high or one prior low. AG Pro Liquidity Heatmap instead tracks repeated pivot concentration, merges nearby levels into composite zones, scores those zones, and then visualizes the result as a layered heat structure.
A second differentiator is the lifecycle logic. Once a band has been interacted with, the script does not leave every level unchanged forever. Depending on the selected behavior, a zone can fade or be removed after liquidity is taken. This helps reduce visual clutter and keeps the chart focused on currently relevant liquidity structures rather than a permanently accumulating archive of old levels.
A third differentiator is presentation. The script is designed to produce a clean forward projection area with right-extending heat bands, readable labels, Fire / Ice theme control, a functional heatmap panel, and an optional EQ Magnet line that tracks the balance area between the nearest active upper and lower liquidity bands. The goal is not only analytical clarity, but also a chart layout that remains readable during live use.
Methodology
1) Pivot detection
The script first identifies pivot highs and pivot lows using user-defined left and right pivot lengths. These pivots are treated as candidate liquidity reference points.
2) Cluster merging
If a new pivot forms close enough to an existing level, based on an ATR-driven merge distance, the script merges that information into the existing zone rather than creating unnecessary duplication. This allows nearby pivots to accumulate into a stronger composite band.
3) Heat scoring
Each zone receives a heat score. Repeated clustering increases that score. When volume weighting is enabled, pivots formed with relatively stronger volume can contribute more heavily to the final score. This does not reveal actual order book liquidity, but it can provide a useful proxy for where market attention and stop concentration may be stronger.
4) Layered rendering
Each active zone is rendered as a multi-layer horizontal band. The band thickness and saturation scale with heat score, which makes stronger zones visually heavier than weaker ones. This helps the chart communicate intensity without requiring the user to read every value manually.
5) Liquidity lifecycle
When price reaches a zone, the script can either fade it or remove it depending on the selected extinguish mode. Optional mitigation tracking can leave a visual reminder of where liquidity was taken. This behavior is important because it keeps the heatmap adaptive rather than static.
6) Balance tracking
When both upper and lower active liquidity bands are available, the script can display an EQ Magnet line between the nearest bands. This is not a target call. It is a contextual balance reference that can help visualize the midpoint of the currently nearest active liquidity field.
States & Visual Elements
- Fire bands represent upper liquidity concentration derived from pivot highs.
- Ice bands represent lower liquidity concentration derived from pivot lows.
- Stronger zones become visually denser and more prominent as heat score rises.
- Zone labels display side, heat score, and price information in either compact or detailed mode.
- The Heatmap Panel summarizes active band count, nearest zones, strongest zones, heat balance, last sweep information, and the current extinguish behavior.
- The EQ Magnet line highlights the midpoint between the nearest active upper and lower bands when enabled.
- Optional mitigation tracks can remain on the chart after liquidity is taken.
How to use it
This script is generally most useful as a context layer.
Many traders may choose to use it in one of three ways:
- to map where price may interact with nearby liquidity concentration,
- to judge whether the closest active field is above or below current price,
- to avoid taking impulsive decisions directly into dense opposing liquidity.
The script can also be useful for chart organization. Traders who already use trend tools, structure tools, or trigger models may use the heatmap as a location filter. For example, a setup forming directly into a strong opposing liquidity band may deserve more caution than a setup developing in cleaner space.
Key Inputs
Pivot Left / Right Bars
Controls how pivots are detected. Smaller values can produce more frequent zones; larger values can make the structure more selective.
Cluster Merge Distance (ATR)
Defines how close pivots must be to merge into the same liquidity band. Lower values keep zones more separated; higher values create broader clustering.
Volume-Weighted Mode
Allows higher-volume pivots to contribute more strongly to heat score. This is a proxy weighting mechanism, not direct order-flow confirmation.
Minimum Heat Score To Show
Filters out weaker zones from the visual display.
Visual Saturation Score
Controls how quickly the visual intensity reaches its maximum appearance.
Base Band Height and Horizontal Band Density
Shape the visual footprint of each zone and determine how rich or minimal the rendered band structure appears.
Label controls
Allow the user to choose label mode, font size, theme, label offsets, and label density.
Panel controls
Allow the user to change panel visibility, location, theme, and font size.
Liquidity Taken Behavior
Determines whether mitigated zones fade or are removed.
Limitations & Transparency
This script does not access order book data, exchange liquidation feeds, or hidden liquidity information. The displayed heatmap is derived from chart-based pivot clustering and optional volume weighting. For that reason, the bands should be understood as technical liquidity proxies rather than direct measurements of real resting orders.
The heat score is also relative to the script's own internal logic. It is a ranking mechanism inside this model, not an absolute market-wide score. A higher score means a zone has accumulated more structural weight within the selected settings; it does not guarantee a reaction.
Like any chart tool based on pivots, the behavior of the script depends on the chosen timeframe, the selected sensitivity inputs, and the structure of the instrument being analyzed. Lower timeframes can create more noise, while higher timeframes can produce fewer but broader zones.
The EQ Magnet line is a contextual midpoint reference only. It should not be interpreted as a fixed target, a required destination, or a directional forecast.
Risk Disclosure
This script is a visual analysis tool for chart study and trade planning. It is not financial advice, not an execution system, and not a promise of future price behavior. Liquidity zones can fail, be overrun, or be ignored by price entirely.
No indicator should be used in isolation. Traders should consider market structure, volatility, risk management, execution quality, and their own process before making trading decisions. Always test settings carefully and use position sizing appropriate to your own risk tolerance.
Indicator
AG Pro HTF Bias Dashboard [AGPro Series]AG Pro HTF Bias Dashboard
Overview / What it does
AG Pro HTF Bias Dashboard is a higher-timeframe context tool built for traders who want a fast, structured view of directional conditions across multiple larger timeframes without crowding the chart with extra signals, zones, or decision noise.
The script summarizes higher-timeframe bias in a compact dashboard and presents each selected row as Bull, Bear, or Neutral, together with a mode-specific status readout. The goal is not to predict the next candle or replace a full trade plan. The goal is to make larger-timeframe context easier to read at a glance.
This indicator is designed to answer a simple but important workflow question: "What is the broader directional environment across the higher timeframes I care about right now?" Instead of forcing the user to manually flip through multiple charts and compare structure or trend conditions one by one, the dashboard keeps that information visible in a single panel.
The script supports multiple bias engines so the same dashboard can be adapted to different styles of chart reading. Users can evaluate higher-timeframe context through EMA Stack alignment, confirmed Swing Structure, SuperTrend direction, or MACD Momentum agreement. This makes the tool flexible enough for trend-following traders, structure-based traders, and users who prefer momentum-style confirmation.
Unlike many overlays that try to combine entries, exits, alerts, pattern detection, and signal generation inside one study, this script stays focused on one task: higher-timeframe directional context. That single-purpose design is intentional. It keeps the output clean, readable, and easier to integrate into an existing process.
Unique Edge
The main strength of this script is not signal generation. Its edge is structured context compression.
Instead of plotting a large number of higher-timeframe elements directly on the chart, AG Pro HTF Bias Dashboard converts higher-timeframe conditions into a compact visual matrix. This makes it possible to assess multi-timeframe agreement quickly while keeping the chart itself relatively clean.
A second differentiator is the ability to switch the bias engine. The dashboard is not locked to one interpretation framework. Users can work with:
- EMA Stack, for ribbon-style alignment
- Swing Structure, for confirmed HH/HL and LH/LL progression
- SuperTrend, for ATR-based directional trend state
- MACD Momentum, for momentum agreement between line, signal, and histogram
Another important detail is the higher-timeframe validity filter. Rows that are not actually higher than the current chart timeframe are marked as Lower/EQ instead of being treated as valid higher-timeframe context. This helps keep the dashboard aligned with its intended purpose.
The script also includes confluence logic, so the user can see not only the state of each row, but also the dominant higher-timeframe bias and how many valid rows support that direction. In practice, this helps users distinguish between broad directional agreement and mixed conditions.
Methodology
The dashboard can display three to five higher-timeframe rows, depending on user settings. Each row evaluates one selected timeframe and classifies it into Bull, Bear, or Neutral.
Bias Mode options:
1) EMA Stack
This mode evaluates directional alignment using a three-EMA structure. A bullish state requires price and the EMA ribbon to be aligned in bullish order. A bearish state requires the opposite alignment. When the full sequence is not aligned, the row can remain neutral and display a partial status such as 2/3 or 1/3 rather than forcing a directional label.
2) Swing Structure
This mode uses confirmed pivot logic to read higher-timeframe structure. It looks for confirmed higher highs / higher lows or lower highs / lower lows, and then evaluates position relative to the active swing range. Because this logic depends on confirmed pivots, structure changes are naturally more selective and may appear later than faster trend models.
3) SuperTrend
This mode reads directional state using an ATR-based trend framework. It is intended for users who prefer a cleaner directional state model rather than ribbon alignment.
4) MACD Momentum
This mode classifies bias through agreement between the MACD line, signal line, and histogram. It is useful for traders who prefer momentum confirmation over structure or moving-average ordering.
The dashboard then calculates:
- the number of valid bullish rows
- the number of valid bearish rows
- the dominant higher-timeframe state
- the confluence count across valid rows
Optional chart context features are also included. Depending on settings, the script can color candles according to the active chart bias, plot the active EMA ribbon or SuperTrend on the chart, apply a subtle background tint when confluence is strong enough, and show a compact mini context tag on the chart.
States / Context Output
This indicator is a context dashboard, not an alert engine.
It does not generate buy or sell alerts, does not mark trade entries, and does not claim to identify optimal execution points. Its outputs are state-based and contextual:
- Bull
- Bear
- Neutral
- Confluence summary
- Mode-specific status text
The mini chart tag, when enabled, is only a compact summary of dominant higher-timeframe direction and current confluence. It should be read as context, not as a trade instruction.
Key Inputs
Higher Timeframes
Users can select three to five rows and define the exact higher timeframes to monitor.
Bias Mode
Choose between EMA Stack, Swing Structure, SuperTrend, and MACD Momentum.
Engine Parameters
The script exposes relevant inputs for each engine, including EMA lengths, Swing Strength, SuperTrend ATR settings, and MACD settings.
HUD Controls
The panel position and panel scale can be customized so the dashboard can fit different layouts and chart styles.
Style Controls
Users can adjust theme and directional colors for bullish, bearish, and neutral states.
Chart Context Controls
Optional features include candle coloring, active indicator plotting for EMA / SuperTrend, strong-confluence background tinting, mini context tag visibility, tag anchor, tag offset, and tag font size.
Limitations & Transparency
This script is not a prediction model. It summarizes directional context from user-selected higher-timeframe logic.
Higher-timeframe tools can update only when data from those larger intervals updates. Because of that, the dashboard should be understood as a context layer rather than a real-time trigger engine.
Swing Structure mode uses confirmed pivots. That means structure changes may appear later than faster directional methods, because confirmation requires completed pivot information.
Neutral states do not necessarily mean the market is untradeable. They simply indicate that the selected bias engine does not currently show clear directional alignment under the chosen rules.
The confluence count is a summary statistic, not a quality score. A larger number of aligned rows does not automatically mean a better trade. It only means more selected higher-timeframe rows currently point in the same direction.
Rows marked Lower/EQ are excluded from valid higher-timeframe confluence because they are not above the active chart timeframe.
This script is intended to support discretionary analysis and chart organization. It should be combined with the user’s own execution framework, risk model, and market understanding.
Risk Disclosure
This indicator is provided for analysis and educational use. It does not provide financial advice, investment advice, or guaranteed outcomes.
Market conditions can change quickly, and no single indicator or dashboard can remove uncertainty from trading or investing. Users should evaluate higher-timeframe context together with price action, liquidity, volatility, risk management, and their own decision process.
Past behavior, historical alignment, or current confluence does not guarantee future performance.
Indicator
AG Pro Structure Labels [AGPro Series]AG Pro HH HL LH LL Structure Labels
Overview / What it does
AG Pro HH HL LH LL Structure Labels is a clean market-structure reader built to simplify price action without turning the chart into a wall of signals. Its core purpose is straightforward: identify confirmed swing highs and swing lows, classify them as HH, HL, LH, or LL, and connect those points in a visually readable structure path so traders can understand the current sequence of price development at a glance.
Many market structure tools try to do too much at once. They mix structure, signals, zones, pattern scoring, and trade suggestions into a single publication, which can make the chart heavier and the analytical purpose less clear. This script takes the opposite route. It focuses on one job only: making confirmed swing structure easier to read, follow, and interpret in real time as the chart evolves.
That design choice is what gives this script its value. Instead of asking the user to interpret disconnected highs and lows manually, the script builds a visible structure chain from confirmed pivots and labels each important step. The result is a chart that remains visually disciplined while still communicating trend continuation, structural weakening, and flow transitions in a simple and repeatable format.
This script is especially useful for traders who want structure clarity before they bring in any other layer of analysis. It can be used as a standalone structure map, or as a first-pass chart-cleaning tool before applying other concepts such as support and resistance, trend continuation logic, pullback analysis, breakout validation, or discretionary execution rules.
Unique Edge
The unique edge of this script is not that it attempts to predict where price will go next. Its strength is that it organizes confirmed structure in a way that is visually clean, logically consistent, and immediately usable on live charts.
Unlike many AG Pro scripts that are built around event detection, confluence scoring, price-zone visualization, setup quality filtering, or breakout logic, this publication is intentionally narrower and more focused. It is not a BOS/CHoCH event detector. It is not a liquidity-sweep model. It is not an order-block or fair-value-gap engine. It is not a breakout-quality, retest-quality, or pattern-quality scorer. It is also not a fixed reference-level tool such as a prior-day or prior-week high/low mapper. This script is a structure readability tool first and foremost.
That distinction matters.
Previous AG Pro releases often revolve around a specific trading event: a sweep, a break, a retest, a zone reaction, a continuation pattern, or a multi-factor confluence state. This script does not begin from an event. It begins from the swing chain itself. It asks a simpler question: what is the current sequence of confirmed highs and lows, and what does that sequence imply about market flow right now?
Because of that, the script fills a different role in the broader AG Pro library. It is closer to a structural map than a setup engine. It helps answer whether the chart is still printing constructive highs and lows, whether the sequence has started to weaken, or whether the structure is now leaning in the opposite direction. That makes it useful both on its own and as a foundation layer beneath other tools.
Another important differentiator is presentation discipline. The structure path provides continuity between pivots, while the label set communicates classification without unnecessary chart clutter. The compact floating HUD reinforces the current flow state without dominating screen space. Together, these choices make the script visually premium while keeping the chart readable.
Methodology
The script uses a confirmed pivot framework. Swing highs and swing lows are identified using left and right lookback parameters selected by the user. Because pivots require confirmation, labels appear only after the structure point is confirmed by the specified number of bars. This helps reduce noise and keeps the structure map grounded in confirmed rather than speculative swing points.
Once a new pivot high is confirmed, it is compared with the prior confirmed pivot high. If it exceeds the previous confirmed high, it is classified as HH. If it does not, it is classified as LH. The same logic applies on the low side: if a confirmed pivot low is above or equal to the previous confirmed pivot low, it is classified as HL; if it is lower, it is classified as LL.
The script also includes an ATR-based structure filter. This filter is designed to suppress micro-swings that are too small relative to current volatility, which helps maintain visual cleanliness on choppier charts. Instead of drawing every minor fluctuation, the script attempts to keep attention on swings that are more structurally meaningful for the selected sensitivity.
A structure path, shown as a clean zigzag line, connects the confirmed pivots that pass the filter. This gives the user an immediate visual map of the sequence rather than a collection of isolated labels. In practice, this is one of the most useful parts of the script because it turns the market’s swing progression into a readable path.
The floating HUD summarizes the current market-flow bias in a minimalist format. It is not intended to act as a trade signal. Its job is to provide a quick structural read so the user can see whether the recent chain is leaning bullish, bearish, or transitional according to the internal swing logic.
Signals & Alerts
This script is not designed as a one-click entry engine. Its alerts are structural, not predictive.
The publication includes alerts for newly confirmed HH, HL, LH, and LL prints, which can help users monitor structure development without staring at the chart continuously. It also includes alerts for structure-flow transitions when the internal trend state turns bullish or bearish.
These alerts are best understood as workflow alerts. They tell the user that structure has progressed into a new confirmed condition. They do not guarantee continuation, reversal, breakout success, or trade profitability. Their purpose is to improve awareness of structural change, not to replace independent analysis.
Key Inputs
Pivot sensitivity is controlled through left and right lookback values. Higher values usually produce fewer but more mature structure points, while lower values usually produce a faster and denser structure map.
The ATR filter can be enabled to reduce insignificant swings. This can be particularly helpful on lower timeframes or during periods of uneven, noisy price movement.
Users can also control whether the structure path is drawn and can adjust the visual typography for labels and HUD elements. These inputs allow the script to stay visually flexible across different chart styles and screen densities.
How this script differs from other AG Pro scripts
This distinction is central to the publication.
Many AG Pro scripts are built to evaluate the quality of a setup. They may score breakouts, retests, continuation patterns, reversal candles, pressure conditions, or confluence states. Others are built around zones and reactions, such as supply-demand mapping, premium-discount logic, fair value gaps, order blocks, or support-resistance behavior. Others focus on structural events such as BOS/CHoCH changes, liquidity sweeps, inducement traps, or session-specific reactions.
This script does none of those things.
It does not measure the quality of a signal.
It does not score a setup.
It does not project targets.
It does not identify fixed daily or weekly reference levels.
It does not try to map every institutional concept on the chart.
It does not attempt to be an all-in-one decision engine.
Instead, it provides a cleaner foundation: confirmed HH, HL, LH, and LL sequencing with a filtered structural path and a compact market-flow summary.
That is precisely why it is different from the previous AG Pro script as well. If the previous release was anchored to fixed price levels, event detection, or context-specific reactions, this script is anchored to swing continuity. If another AG Pro script answers where price reacted, where a sweep occurred, whether a breakout was strong, or whether a setup deserves a quality score, this one answers a more basic but highly important question: what is the confirmed structure chain doing right now?
In that sense, this script is less about trading events and more about structural readability.
Limitations & Transparency
This script uses confirmed pivots, which means it is not attempting to label unconfirmed structure in advance. As a result, there is an intentional delay equal to the confirmation logic chosen by the user. That delay is not a flaw; it is part of the design tradeoff required to avoid premature structure labels.
Like any pivot-based structure tool, output will vary depending on sensitivity settings, timeframe, market volatility, and symbol behavior. A lower sensitivity may reveal more swing detail but can also make the map denser. A higher sensitivity may create a cleaner structure path but may respond more slowly to local shifts.
The ATR filter is a visual-cleanliness tool, not a universal truth engine. It can help reduce noise, but different traders may prefer different levels of structural compression depending on how aggressively or conservatively they define meaningful swings.
This script should also not be interpreted as a complete trading plan. It does not include position sizing, stop placement, target selection, execution logic, or market-specific risk rules. Users should combine it with their own framework, testing process, and judgment.
Risk Disclosure
This script is for analytical and educational use. It is not financial advice, investment advice, or a recommendation to buy or sell any instrument.
Market structure is an interpretive framework, not a guarantee of future price behavior. A bullish sequence can fail, a bearish sequence can reverse, and a clean structural print can still occur inside a broader context that changes the meaning of the move.
Always use independent judgment, apply appropriate risk management, and evaluate the script in the context of your own market, timeframe, and process.
Summary
AG Pro HH HL LH LL Structure Labels is built for traders who value structural clarity over indicator overload. Its role in the AG Pro catalog is distinct: it is not an event hunter, not a zone engine, and not a quality scorer. It is a clean structure reader designed to make confirmed swing progression easier to see, easier to follow, and easier to integrate into a disciplined chart workflow.
If your goal is to understand whether price is still producing constructive highs and lows, whether that chain is weakening, or whether the flow has shifted into a different structural condition, this script is designed for exactly that task.
Indicator
AG Pro Reversal Pattern Quality Scanner [AGPro Series]AG Pro Reversal Pattern Quality Scanner
Overview / What it does
AG Pro Reversal Pattern Quality Scanner is an overlay tool designed to detect and visualize selected classical reversal structures directly on the chart while adding a structured quality layer to each valid setup. The script focuses on four widely recognized reversal formations: Double Top, Double Bottom, Head & Shoulders, and Inverse Head & Shoulders.
Instead of marking every possible structural resemblance, the script applies a filtered detection workflow based on pivot structure, pattern width, peak or trough equality, pullback depth, neckline logic, and an internal quality model. The goal is not simply to identify a shape, but to highlight formations that display more balanced structure and more usable context.
Each detected pattern can be displayed with a pattern box, a projected neckline, and a quality label that summarizes the pattern type, directional bias, quality score, and grade. This makes the script suitable for traders who want a structured visual map of potential reversal zones rather than a raw pattern-highlighting tool with no ranking logic.
The indicator is built for chart reading and workflow support. It does not attempt to forecast future price movement with certainty, and it should not be interpreted as a standalone trade system. Its role is to help users organize reversal structures, compare them visually, and focus on higher-quality formations when reviewing price action.
Unique Edge
The main distinction of this script is that it does not treat all reversal patterns as equivalent. A detected pattern is further evaluated through a composite quality framework that considers structural symmetry, pullback depth, and volume behavior during formation and break conditions.
For Double Top and Double Bottom structures, the script checks whether the two peaks or troughs remain sufficiently close to each other within a defined tolerance and whether the intermediate pullback is large enough to make the structure meaningful. For Head & Shoulders and Inverse Head & Shoulders structures, the script evaluates shoulder symmetry, time symmetry, and relative positioning of the head against the shoulders.
The volume component is not used as a promise of confirmation. It is used as an additional contextual factor inside the quality score. In general terms, contracting volume during formation and stronger participation during the break candidate can improve the overall score when those conditions are present.
Another important part of the design is visual prioritization. The script does not only draw the structure. It also attempts to keep the chart readable by organizing labels, neckline extensions, and pattern boxes in a way that preserves interpretation. The result is a cleaner reversal-pattern map that aims to be more practical than a simple shape detector.
Methodology
The script begins with swing pivot detection. These pivots act as the structural foundation for all pattern candidates. Once enough pivot highs and lows are available, the script evaluates whether recent pivot sequences fit the requirements of one of the supported reversal structures.
For Double Top detection, the script checks whether two recent highs are similar enough, whether the interim low forms a valid neckline reference, whether the pattern width stays within defined limits, and whether price has broken below the neckline. For Double Bottom detection, the logic is mirrored on the bullish side through two similar lows, an interim high as the neckline reference, and a bullish break condition above that neckline.
For Head & Shoulders detection, the script evaluates a sequence of three pivot highs where the middle high must exceed the two shoulders. It then estimates neckline structure from the lows between those highs and applies symmetry and pullback checks before accepting the setup. Inverse Head & Shoulders applies the same structural concept in reverse using pivot lows.
After a valid break condition is detected, the script calculates a composite quality score. This score is based on user-controlled weights for volume behavior, symmetry, and pullback depth. The final output is normalized into a 1 to 10 quality scale, then translated into a grade label for easier scanning.
Signals & Alerts
The script can generate pattern-based alert conditions for:
- Double Top
- Double Bottom
- Head & Shoulders
- Inverse Head & Shoulders
These alerts are tied to the script’s internal structural conditions and neckline break logic. As with any chart-based alert workflow, users should confirm that the selected settings match their market, timeframe, and execution style.
Visual output can include:
- Pattern boxes
- Neckline lines
- Neckline labels
- Pattern quality labels
- Break candle highlighting
- Information panel with detection statistics
The quality label is intended to summarize the detected structure, not to guarantee outcome quality. A higher score means the pattern aligned more closely with the script’s internal criteria. It does not mean the setup must succeed.
Key Inputs
The script includes adjustable inputs for both detection behavior and presentation. Key controls include:
- Swing Pivot Length
- Peak / Trough Equality tolerance
- Minimum Pullback Between Peaks or Troughs
- Minimum and Maximum Pattern Width
- Minimum Quality to Display
- Weighting of volume, symmetry, and pullback depth inside the quality score
- Box, neckline, and pattern-label visibility
- Global label size
- Panel font size
- Panel position
- Neckline extension length
- Pattern-specific alert toggles
These controls make it possible to adapt the scanner to different chart densities, volatility profiles, and personal visual preferences.
Limitations & Transparency
This indicator is a rule-based pattern scanner. It is not a predictive engine, and it does not claim that all detected formations will lead to continuation or reversal. Classical chart structures can fail, invalidate, or behave differently depending on volatility, trend strength, liquidity conditions, timeframe, and broader market context.
Pattern recognition on live charts is inherently sensitive to pivot settings and bar structure. Small changes in pivot length, equality tolerance, or minimum pullback can materially change how many formations appear. Because of that, users should treat the script as a configurable analytical framework rather than a universal template.
The quality score is an internal ranking model built from the script’s own criteria. It is meant to help compare setups inside the same framework. It should not be interpreted as an objective probability model, a performance promise, or a substitute for independent trade management.
Volume analysis also depends on the reliability and characteristics of the symbol’s reported data. On some instruments, volume may be less informative or behave differently than expected. Users should evaluate this in the context of their own market.
Risk Disclosure
This script is provided for chart analysis, workflow organization, and educational use. It does not provide financial advice, investment advice, or guaranteed trade signals. All trading and investment decisions remain the sole responsibility of the user.
Reversal patterns can fail even when they appear clean and well-structured. Breaks can reverse, neckline moves can trap participants, and high-scoring formations can still underperform. Risk management, confirmation process, position sizing, and overall strategy design remain essential.
Use this tool as a structured visual aid inside a broader decision-making process, not as a standalone reason to enter or exit a position. Indicator
Stage 2 Trend Qualifier 8-Criteria Trend Template with RS scoreA compact on-chart dashboard that evaluates whether a stock qualifies as a Stage 2 uptrend using an 8-criteria trend template based on moving average alignment and price position relative to key benchmarks. Includes relative strength scoring, outperformance day tracking, and RS line analysis.
█ WHAT IT DOES
This indicator runs 8 mechanical checks on every bar and displays pass/fail status in a clean overlay table:
1. Price above 150-day SMA
2. Price above 200-day SMA
3. 50-day SMA above 150-day SMA
4. 50-day SMA above 200-day SMA
5. 200-day SMA trending up for at least 1 month
6. Price at least 25% above its 52-week low
7. Price within 25% of its 52-week high
8. Price not more than 10% below the 50-day SMA
When all 8 pass → STAGE 2 (confirmed uptrend). Otherwise the indicator classifies the stock as Stage 1 (basing), Stage 3 (topping), or Stage 4 (decline) based on moving average relationships.
█ RS SCORE (1–99)
Relative strength versus a user-selected benchmark (default: SPY) displayed as a normalized score from 1 to 99 across four timeframes: 1M, 3M, 6M, and 12M.
50 = matching the benchmark. Above 50 = outperforming. Below 50 = underperforming. Each timeframe uses a calibrated scale so scores are comparable across periods.
Color coding:
≥80 → bright green (strong leader)
60–79 → green (outperformer)
40–59 → gray (average)
<40 → red (laggard)
█ RS DAYS
Counts how many trading days the stock outperformed the benchmark over rolling windows of 15, 30, and 60 days. Displayed as: count (win-rate%). For example, "9 (60%)" means the stock beat the benchmark on 9 out of 15 days.
A high RS Score with a low RS Days % means the stock had a few big winning days but isn't consistently leading — less reliable strength. Consistent outperformance (>60%) across all windows is the strongest signal.
█ RS LINE STATUS
Evaluates the relative strength line (stock price ÷ benchmark price) versus its own 52-week high:
NEW HIGH → RS line at its 52-week peak. Strongest relative performance in a year. Often leads price breakouts.
NEAR HIGH → Within 3% of 52-week high. Relative strength building toward leadership.
NEUTRAL → 3–15% below 52-week high. Average relative performance, no clear edge.
WEAK → More than 15% below 52-week high. Relative strength deteriorating. Market rotating away.
█ ALERTS
Three built-in alert conditions:
- Stage 2 Qualified — stock transitions from <8/8 to 8/8 criteria met
- Stage 2 Lost — stock drops from 8/8 to fewer criteria met
- RS Line New High — relative strength line hits a new 52-week high
█ SETTINGS
- Toggle sections: Trend Template, RS Score & Days (on/off independently)
- Table position: any corner or middle edge
- Text size: tiny, small, normal
- Theme: Dark or Light (match your chart background)
- Benchmark symbol: default SPY, changeable to any index or ETF
█ USAGE NOTES
- Designed for the DAILY timeframe. On intraday or weekly charts, the bar-based lookbacks (252 bars for 52-week, 21 bars for 1 month) represent chart bars, not calendar days.
- Stage 2 identification is mechanically precise — all 8 criteria must pass. Stages 1, 3, and 4 use approximate moving average relationship logic.
- RS Score normalizes relative performance to a 1–99 scale. This is NOT a percentile rank across a stock universe — it measures magnitude of outperformance vs your selected benchmark.
- This indicator is an educational and analytical tool. It does not generate buy or sell signals. Indicator
AG Pro Pin Bar Quality Filter [AGPro Series]AG Pro Pin Bar Quality Filter
Overview / What it does
AG Pro Pin Bar Quality Filter is a price-action overlay built to detect pin bar candles and then separate higher-quality rejection candles from weaker or noisier ones.
The script does not treat every long-wick candle as equally meaningful. Instead, it evaluates the internal candle structure first, then applies a compact quality framework around volume, recent momentum, and local support/resistance context. The result is a filtered pin bar workflow designed for traders who want cleaner chart annotation rather than a raw pattern dump.
This tool focuses on one specific job: identifying rejection candles with a measurable structure and presenting them with a readable quality label directly on the chart. It is intended to help users inspect potential reaction points, not to replace broader market context or execution rules.
The visual design is intentionally simple at the core: pin bar body highlighting, wick emphasis, directional markers, and compact quality labels. This makes the script suitable for traders who want candle-based context without converting the chart into a full market-structure dashboard.
Unique Edge
The distinctive feature of this script is that it does not stop at pattern detection.
A standard pin bar script often marks candles only because they have a long wick. This script goes further by checking whether the wick is large enough relative to the body, whether the body itself is small enough relative to the full candle range, and whether one wick clearly dominates the other. That combination helps reduce ambiguous candles that visually resemble pin bars but do not express clean rejection.
After the structural test, the script applies a three-part quality model:
- volume confirmation
- momentum context
- support/resistance proximity
This creates a practical quality hierarchy rather than a binary pattern label. In other words, the script is not only asking “Is this a pin bar?” but also “How much contextual support does this pin bar have?”
An optional piercing check is also available for users who want stricter validation. This adds another layer of selectivity by requiring the candle body to show stronger positional behavior relative to the prior bar.
Methodology
The script starts by measuring the current candle:
- candle body size
- full candle range
- upper wick length
- lower wick length
- dominant wick versus body ratio
A raw pin bar candidate requires:
- a minimum wick/body ratio
- a maximum body percentage of full range
- directional wick dominance
This helps define whether the candle is a legitimate bullish or bearish rejection structure.
Bullish pin logic is based on lower-wick dominance.
Bearish pin logic is based on upper-wick dominance.
Once a raw pin bar is detected, the script evaluates three contextual filters.
1) Volume filter
The current volume can be compared against a moving average of volume. This helps identify candles that form with relatively stronger participation.
2) Momentum confirmation
The script can check whether recent candles were moving in the opposite direction of the current pin bar. For example, a bullish pin bar becomes more meaningful when it forms after short-term downward pressure, while a bearish pin bar becomes more meaningful after short-term upward pressure.
3) Support / resistance proximity
The script tracks pivot-based reference levels and checks whether the pin bar forms close to a recent local support or resistance area, using an ATR-based distance threshold.
Each passed filter contributes to the final quality score. This produces a compact tiered output instead of a single undifferentiated signal stream.
Signals & Alerts
The script can identify:
- bullish pin bars
- bearish pin bars
- higher-quality pin bars based on the selected minimum score
Visual elements may include:
- body highlighting on detected pin bars
- wick emphasis
- directional arrow markers
- quality labels with contextual details
- an information panel summarizing the active state
The quality label can display the signal tier and relevant confirmations such as:
- wick/body ratio
- volume confirmation
- momentum confirmation
- support/resistance proximity
Alert conditions are available for:
- bullish pin bars
- bearish pin bars
- prime-quality pin bars
- any valid pin bar that meets the selected score threshold
This allows users to align alerts with their own strictness settings rather than monitoring every possible candle manually.
Key Inputs
Important user controls include:
- minimum wick/body ratio
- maximum body percentage of full range
- wick dominance threshold
- optional piercing requirement
- volume filter enable/disable
- momentum filter enable/disable
- support/resistance filter enable/disable
- minimum quality score
- label size
- panel display
- maximum number of displayed signals
These settings make the script adaptable across different instruments and chart styles. Users who prefer a broader scan can lower the strictness, while users who want fewer but cleaner signals can raise the thresholds.
Limitations & Transparency
This script is a rule-based candle-quality filter. It is not a market prediction engine, and it does not attempt to classify broader trend structure, liquidity behavior, or macro regime by itself.
A pin bar can still fail even when all filters pass. A visually strong rejection candle is not automatically a durable reversal. Context such as higher-timeframe structure, trend state, volatility regime, session behavior, and instrument-specific character still matters.
Support and resistance detection in this script is pivot-based and proximity-based. It is designed as a practical contextual filter, not as a complete structural mapping model.
Volume behavior also varies by asset and market type. On some instruments, especially where centralized volume data is limited or interpreted differently, the volume filter should be treated as a supplementary input rather than a universal truth test.
The momentum check is intentionally compact and local. It is meant to improve candle context, not to replace broader directional analysis.
For these reasons, the script is best used as a chart-reading assistant within a larger process, not as a standalone decision framework.
Risk Disclosure
This script is provided for technical analysis and chart annotation purposes only.
It highlights selected pin bar conditions based on user-defined structural and contextual rules. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend continuation can invalidate rejection candles, and false positives can occur in all timeframes and asset classes.
Users should validate the script on their own instruments, timeframes, and risk models before relying on it in live conditions. Position sizing, stop placement, execution discipline, and overall trade management remain the responsibility of the user.
In summary, AG Pro Pin Bar Quality Filter is designed to help traders study rejection candles with more structure, more selectivity, and cleaner on-chart presentation than a basic pin bar marker, while remaining transparent about what the script does and does not do.
Indicator
AG Pro Engulfing Candle Quality [AGPro Series]AG Pro Engulfing Candle Quality
Overview / What it does
AG Pro Engulfing Candle Quality is a price action overlay designed to detect bullish and bearish engulfing candles and then grade them through a structured quality framework instead of treating every engulfing event as equally important.
Rather than marking all engulfing candles with the same visual weight, this script evaluates whether the candle shows characteristics that may make the event more meaningful in context. The goal is to reduce low-value pattern noise and help the user focus on engulfing candles that display stronger internal structure and better surrounding conditions.
The script can color qualifying candles, display score labels directly on the chart, add optional background emphasis, and summarize recent signal state through an information panel. This makes it suitable for traders who want a cleaner way to review engulfing behavior without turning the chart into a generic pattern map.
In practical use, the script is not intended to predict direction on its own. It is designed as a filtering and chart-reading aid for users who already work with structure, liquidity, support/resistance, trend context, or discretionary execution rules.
Unique Edge
Many engulfing tools stop at pattern detection. This script takes a different approach by treating engulfing candles as a quality event rather than a binary event.
Its core difference is the scoring model. Each qualifying candle is evaluated through a multi-factor framework that can include relative volume behavior, body-to-range efficiency, prior directional context, engulf strength, and optional support/resistance proximity. This creates a 1-10 quality score that helps separate weaker engulfing events from stronger ones.
The result is a more selective workflow:
- detect the pattern,
- evaluate the candle quality,
- display only the events that meet the user’s threshold,
- and keep the chart focused on higher-interest formations.
This makes the script different from simple engulfing markers, basic candlestick libraries, or broad pattern collections. Its purpose is not to label everything. Its purpose is to rank and filter.
Methodology
The script identifies bullish and bearish engulfing conditions using configurable detection logic. Users can choose a stricter close-based interpretation or a broader wick-based interpretation depending on how selective they want the pattern engine to be.
Once an engulfing candle is detected, the script evaluates the event with a weighted quality framework. The conceptual components include:
1. Relative volume
The candle is compared against a moving average of volume. A candle that forms with stronger-than-normal participation can receive a higher quality contribution than one forming on ordinary or weak activity.
2. Body efficiency
The candle body is evaluated relative to the full range. A larger, more decisive body may indicate stronger commitment than a candle with excessive wick noise and a relatively small real body.
3. Prior directional context
The script reviews recent directional pressure over a user-defined lookback window. This helps distinguish engulfing candles that appear after a more meaningful opposing move from those that form in flatter or less informative conditions.
4. Engulf strength
The script can incorporate how convincingly the current candle overtakes the prior candle structure, adding another layer beyond simple pattern recognition.
5. Optional support/resistance proximity
Users can enable an additional contextual bonus when the engulfing event forms near pivot-derived support or resistance areas.
These components are normalized into a score from 1 to 10. The score is then used for chart display, filtering, and alerts. This means the script is not simply asking whether an engulfing candle exists. It is asking whether the engulfing candle appears to have enough internal and contextual quality to deserve attention.
Signals & Alerts
The script can display:
- bullish engulfing events,
- bearish engulfing events,
- candle coloring for qualified signals,
- optional score labels,
- optional background highlights,
- and a chart panel summarizing recent signal state.
Alerts are deterministic and based on confirmed rule conditions inside the script. Users can create alerts for:
- bullish engulfing events,
- bearish engulfing events,
- high-quality bullish engulfing events,
- high-quality bearish engulfing events,
- or any engulfing event that meets the selected minimum score threshold.
As with any chart tool, users should understand that alerts reflect the script’s rules, not an outcome guarantee. An alert means the selected condition has been satisfied according to the methodology. It does not imply that the next market move will be favorable.
Key Inputs
The script includes several controls so users can adapt the tool to different symbols and timeframes.
Important inputs include:
- minimum score required for display,
- label cooldown to reduce visual clustering,
- trend-strength lookback,
- strict close-based or broader wick-based engulf logic,
- bullish and bearish visibility toggles,
- optional support/resistance bonus,
- support/resistance pivot length,
- ATR-based proximity setting,
- scoring weights for volume, body efficiency, trend context, and engulf strength,
- volume average threshold,
- body/range threshold,
- color controls for bullish, bearish, and score states,
- label size,
- background highlight toggle,
- candle-coloring toggle,
- score label visibility,
- panel visibility, position, font size, and theme,
- and minimum score required for alerts.
These inputs allow the user to keep the script conservative and selective, or make it more permissive when reviewing more active charts.
Limitations & Transparency
This script is a rule-based visual analysis tool. It does not know future price action, and it does not confirm trade quality on its own.
Several points are important:
- An engulfing candle is still a local pattern. It can fail, especially in noisy or low-liquidity environments.
- Strong scores do not guarantee continuation or reversal.
- The support/resistance context is approximate and derived from pivot logic, not from a universal market map.
- Volume behavior can vary across markets and data feeds.
- Different timeframes can produce very different signal density and quality distribution.
- The script is designed for confirmation and filtering, not for fully automated decision-making.
Users should treat the score as a structured quality estimate, not as a promise. In many workflows, the script is most useful when combined with broader context such as market structure, trend bias, higher-timeframe levels, session behavior, or risk management rules.
Risk Disclosure
This script is provided for chart analysis and educational use. It is not financial advice, not an execution system, and not a guarantee of performance.
All trading and investing involve risk. Market conditions can change quickly, and any pattern, score, or alert can fail. Users are responsible for their own analysis, entries, exits, and risk controls.
Use the script as a decision-support tool, not as a substitute for judgment.
Indicator
AG Pro Premium Discount Zone Engine [AGPro Series]AG Pro Premium Discount Zone Engine
Overview / What it does
AG Pro Premium Discount Zone Engine is a dealing-range and retracement context overlay built to map relative value inside a selected swing. Instead of treating price as a sequence of isolated candles, the script frames current price location against an active high-low range and highlights where price is trading relative to equilibrium, premium, discount, and the OTE area.
The core purpose of this tool is organizational. It is designed to help traders read where price is positioned inside a live swing and how price reacts when it moves into higher-value or lower-value retracement zones. This is especially useful when a chart is moving inside a pullback, when trend continuation is being evaluated, or when users want to distinguish between shallow retracements and deeper repricing within an existing range.
The script supports multiple ways to define the active range. Users can work with an automatically detected swing, a higher-timeframe dealing range, or a manual-lite anchor mode based on bar offsets. Once a valid range is identified, the script projects premium and discount territory, marks the 50% equilibrium, and highlights the OTE area using the 61.8, 70.5, and 78.6 retracement levels.
The output is intentionally visual, structured, and restrained. Premium and discount zones are shown as clean value blocks. The OTE area is treated as the main focus zone rather than a minor detail. The panel summarizes the active bias, current location, zone state, equilibrium level, and OTE boundaries so that users can read the chart quickly without relying on aggressive signal language.
Unique Edge
What makes this script different is that it is not built as a market-structure detector, imbalance mapper, liquidity event scanner, or order-block locator. Its job is narrower and more specific: it organizes relative price location inside a defined dealing range.
That distinction matters. Many overlays attempt to explain everything on the chart at once. This script does not. It does not try to label breaks of structure, detect fair value gaps, mark liquidity sweeps, or classify institutional zones. Instead, it answers a more focused question: where is price trading inside the current swing, and how is it behaving as it enters or leaves important retracement territory?
This also separates the script from other AG Pro tools. Some AG Pro overlays are built around structure transitions, some around imbalance behavior, some around reaction quality, and some around event detection. AG Pro Premium Discount Zone Engine is built around valuation context. It does not compete with those tools directly. It complements them by adding a relative-value map around a selected range.
Another difference is the zone-state logic. The script does not stop at drawing premium and discount blocks. It also tracks how price interacts with the OTE area and classifies that interaction using a simple state model such as Fresh, First tap, Retested, Rejected, Accepted, and Invalidated. This creates a more contextual read than a static retracement overlay.
Methodology
The script begins by identifying an active swing range. In Auto Swing mode, it uses pivot-based range detection. In HTF Swing mode, it builds the range from a higher-timeframe high-low window. In Manual-Lite Swing mode, it uses bar-offset anchors to let the user define a practical swing reference without requiring manual drawing tools.
Once the active range is available, the script calculates the internal value map:
- Swing High
- Swing Low
- 50% Equilibrium
- Premium territory above equilibrium
- Discount territory below equilibrium
- OTE zone using 61.8, 70.5, and 78.6 retracement levels
The script then monitors how price behaves around those levels. This produces context states rather than directional promises. For example, price entering the OTE area is not treated the same as price rejecting from it, accepting beyond it, or invalidating the active range. These are intentionally different events because they describe different chart conditions.
The equilibrium level is included as a centerline reference, while the OTE band is given stronger visual emphasis. This helps distinguish broad valuation territory from the narrower retracement pocket that many users monitor more closely.
Signals & Alerts
The signals in this script are event-based and deterministic. They are not designed as standalone trade instructions. They are designed to describe interaction with the active range.
Available event logic includes:
- OTE Test
- OTE Reject
- OTE Accept
- Discount Reaction
- Premium Rejection
- Equilibrium Cross
- Range Invalidated
- OTE Failure
These events are intended to provide chart context. For example, an OTE Test simply means price entered the active OTE zone. A Premium Rejection means price traded into the premium side and closed back below the local premium threshold used by the script. A Discount Reaction means price interacted with the discount side and responded upward under the script's rules. These are context events, not guarantees of continuation.
Alerts follow the same philosophy. They are defined in a rules-based way so users can monitor range interaction without needing to watch the chart continuously. The alert layer is most useful when the script is used as a location filter inside a broader workflow.
Key Inputs
Swing mode
Lets the user choose between Auto Swing, HTF Swing, and Manual-Lite Swing depending on whether the goal is reactive automation, higher-timeframe framing, or a more controlled local range definition.
Auto pivot length
Controls how sensitive the pivot-based swing detection is in Auto mode.
HTF timeframe and HTF lookback
Used to define the broader dealing range in higher-timeframe mode.
Manual high bars back / manual low bars back
Used to create a manual-lite range by referencing earlier bars as anchors.
Render bars back / render bars forward
Controls how far the active range projection extends on the chart.
Zone opacity and theme
Used to refine the visual balance between premium, discount, and OTE areas.
Label controls
Used to reduce visual noise by controlling label cooldown, label render window, and maximum visible labels.
Panel controls
Allow the user to reposition the panel and adjust its text size to fit different chart layouts.
Limitations & Transparency
This script does not predict direction. It does not forecast reversals. It does not decide whether a chart should trend, break, or fail. It maps relative value inside a selected range and reports interaction events inside that framework.
The quality of the output depends on the quality of the active swing. If the selected or detected range is not meaningful for the user's workflow, the valuation map will also be less meaningful. This is especially important in highly compressed, extremely noisy, or structurally unclear conditions.
Auto Swing mode is practical, but like any automated swing model, it depends on pivot confirmation and may update as newer pivots become available. HTF mode provides broader context but may feel less reactive on smaller charts. Manual-Lite mode gives more control but still depends on the user choosing sensible anchor distances.
OTE logic is range-relative. It does not incorporate unrelated concepts such as order blocks, liquidity pools, fair value gaps, session models, or external structure classifications unless the user combines those ideas manually in a separate workflow.
This script is best understood as a valuation-context overlay. It is not a complete strategy, not a full decision engine, and not a substitute for risk management.
How this differs from other AG Pro scripts
AG Pro Premium Discount Zone Engine is intentionally not a structure-break tool, not a CHoCH/BOS detector, not a liquidity sweep scanner, not an FVG engine, and not an order-block mapper.
Its role inside the AG Pro family is to answer a different question:
Where is price trading inside the active dealing range, and what is the quality of its interaction with that value map?
That makes it particularly useful for users who already understand direction from another process and want cleaner execution context. In other words, some tools focus on structural change, some focus on imbalance, and some focus on reaction events. This one focuses on valuation location.
Risk Disclosure
This script is for chart analysis and educational use only. It does not provide financial advice, investment advice, or guaranteed trade signals. Any use of this tool should be combined with independent analysis, risk controls, position management, and market-specific judgment.
The presence of an alert, label, premium zone, discount zone, or OTE interaction does not imply that price must react in a specific way. Markets can continue, reverse, compress, or invalidate a range without warning. Users should treat this script as a context tool, not as a promise of outcome.
Indicator
AG Pro Relative Volume Pressure Map [AGPro Series]AG Pro Relative Volume Pressure Map
Overview / What it does
AG Pro Relative Volume Pressure Map is designed to evaluate whether relative volume is translating into efficient bullish pressure, efficient bearish pressure, inefficient two-way absorption, or possible climax behavior.
Instead of treating relative volume as a standalone “high volume” condition, this script maps how that volume is interacting with candle structure, close location, wick behavior, and short-term pressure efficiency. The result is a rules-based pressure framework built to help organize active price-volume interaction directly on the chart.
This script is not built as a basic RVOL meter, a generic volume spike detector, or a standalone entry engine. Its purpose is to classify whether elevated relative volume is being accepted as directional pressure, being absorbed into unstable churn, or appearing late enough to justify caution.
The visual design is intentionally chart-facing. Pressure events, backdrop zones, memory trails, and the summary panel are meant to help traders read whether volume is supporting directional intent or fading into friction. It is a decision-support map, not a prediction model.
Unique Edge
The main difference of this script is simple:
It does not ask only whether volume is above average.
It asks whether above-average volume is producing usable directional pressure.
That distinction matters.
Many relative volume tools stop at “volume is elevated.” This script goes further and evaluates whether that elevated participation is accompanied by efficient body structure, strong close positioning, limited opposing wick pressure, and acceptable short-horizon follow-through context. In other words, it attempts to separate meaningful pressure from noisy activity.
This also makes the script materially different from several other AG Pro tools:
- It is not a Volume Profile framework. It does not map acceptance, rejection, POC interaction, or value-area structure.
- It is not a VWMA extension tool. It does not measure dislocation from a volume-weighted moving anchor.
- It is not a money-flow proxy. It does not attempt to infer broader accumulation or distribution from flow-style formulas.
- It is not a breakout-quality map. It does not judge level breaks, retests, or structural invalidation around support/resistance rails.
- It is not a trend regime meter. It focuses on active pressure quality around current bars rather than broad market-state classification.
Its niche inside the AG Pro lineup is more specific:
AG Pro Relative Volume Pressure Map focuses on whether current relative volume is being converted into directional pressure efficiently, inefficiently, or excessively.
Methodology
The script starts with relative volume. Current volume is compared against its recent average so the tool can determine whether participation is dry, normal, elevated, or extreme.
From there, the script evaluates how price is behaving inside the same bar:
- Body efficiency: how much of the total range is being expressed through the real body.
- Close location: whether the bar is closing with directional conviction or fading into the middle of its range.
- Opposing wick pressure: whether the active side is being challenged by rejection.
- Stretch versus ATR: whether the move is becoming extended relative to recent volatility.
- Optional one-bar follow-through filter: whether short-horizon continuation is present when pressure is classified.
These components are combined into a pressure logic model that classifies price-volume behavior into five chart states:
1. Bull Pressure
Elevated relative volume is aligned with an efficient bullish body, strong close placement, limited upper-wick resistance, and acceptable follow-through context.
2. Bear Pressure
Elevated relative volume is aligned with an efficient bearish body, strong close placement, limited lower-wick resistance, and acceptable follow-through context.
3. Absorption
Relative volume is elevated, but directional efficiency is weak, conflicted, or unstable. This often reflects churn, friction, or two-way participation where raw activity does not cleanly convert into directional pressure.
4. Climax Risk
Relative volume is extreme and the bar is stretched enough to justify caution. The script uses this state to identify situations where pressure may be arriving in a late or inefficient form rather than in a fresh, clean expansion phase.
5. Passive
No major pressure condition is active. Participation is comparatively dry, mixed, or below the threshold required for the more expressive states above.
States / Alerts
This script is organized around states rather than trade commands.
Available state logic includes:
- Bull Pressure
- Bear Pressure
- Absorption
- Climax Risk
- Pressure State Change
These alerts are intended to reflect changes in price-volume character, not guaranteed opportunity. They can be used as workflow events, review prompts, or contextual filters inside a broader chart process.
The panel summarizes the active environment through fields such as:
- RVOL state
- Current pressure state
- Pressure side
- Quality
- Strength
- Efficiency
- Absorption risk and short-horizon bias
The chart layer complements this with event labels, backdrop zones, and pressure memory trails so the user can see not only what state is active now, but how recent pressure has evolved across the visible structure.
Why this is different from the other AG Pro scripts
AG Pro Relative Volume Pressure Map was intentionally designed to avoid overlap with the existing AG Pro publication line.
Where some AG Pro tools are built around breakout structure, moving-average displacement, equilibrium logic, profile interaction, or directional survival around a specific technical framework, this script stays centered on one narrower question:
Is current relative volume producing efficient pressure, inefficient absorption, or late-stage risk?
That makes it different in both concept and use case.
For example:
- A breakout-quality tool is asking whether a level event is structurally convincing.
- A profile-based tool is asking whether price is accepting or rejecting volume-defined areas.
- A reclaim/dislocation tool is asking whether price is stretching away from or reclaiming a known reference.
- This script is asking whether participation itself is translating into directional pressure cleanly enough to matter.
So even when the chart user applies multiple AG Pro tools together, this one is not meant to duplicate them. It fills a different layer of analysis: active pressure efficiency around relative volume.
Key Inputs
Relative Volume Length
Controls the lookback used to normalize current volume versus its recent baseline.
ATR Length
Used for stretch evaluation and several visual placement rules.
Pressure Smoothing
Smooths the relative volume component to reduce one-bar noise.
Use 1-Bar Follow-Through Filter
Adds a simple continuation requirement so pressure states can be made more selective.
Elevated RVOL Threshold
Defines the point at which participation becomes meaningfully above normal.
Extreme RVOL Threshold
Defines the threshold used for more exceptional activity and climax-style conditions.
Minimum Body Efficiency
Controls how much real-body participation is required before a pressure bar is considered efficient.
Strong Close Location
Controls how strongly price must close toward the active side of the range.
Opposing Wick Ceiling
Limits how much opposing rejection can be present before directional pressure quality degrades.
Climax Stretch vs ATR
Controls how extended a bar must be, relative to ATR, before the script considers late-stage risk more seriously.
Visual controls are also included for panel visibility, panel theme, panel font size, label density, candle coloring, backdrop display, and pressure-trail presentation.
Limitations & Transparency
This script does not predict future direction.
It does not identify hidden order flow.
It does not classify fundamental volume intent.
It does not replace execution rules, risk management, or higher-timeframe context.
Relative volume can expand for many reasons, and elevated participation does not guarantee continuation. In the same way, absorption or climax-style behavior can persist longer than expected before price resolves clearly.
All state classifications in this tool are rules-based interpretations of chart behavior. They are useful as structured context, but they are still abstractions built from price and volume features. Users should expect false positives, missed events, and market-specific variation depending on volatility regime, instrument behavior, and timeframe selection.
This script should be treated as an analytical overlay. It is designed to improve chart organization and pressure reading, not to promise outcomes.
Risk Disclosure
This script is provided for educational and informational purposes only.
It is not financial advice, not investment advice, and not a solicitation to buy or sell any instrument.
Trading and investing involve risk. Losses can exceed expectations, especially in volatile markets. Any decision made using this script should be confirmed with independent analysis, sound risk controls, and a workflow appropriate to the user’s own objectives and experience.
This tool is best used as one layer inside a broader decision process, not as a standalone reason to enter, exit, or size a position.
Indicator
AG Pro Moving Average Ribbon Stress Meter [AGPro Series]AG Pro Moving Average Ribbon Stress Meter
Overview / What It Does
This indicator is designed to read the internal condition of a moving-average ribbon rather than treating the ribbon as a simple trend overlay. Instead of asking only whether the ribbon is bullish or bearish, it asks a different question: is the ribbon structurally calm, starting to load, becoming strained, or losing internal order.
The script builds a six-line moving-average ribbon, measures how those averages interact with each other, and converts that interaction into a stress framework. The result is a visual map that helps show whether the ribbon is organized, stretched, unstable, or resetting after stress.
In practical terms, the script is built to help users evaluate ribbon quality, internal synchronization, and the degree of structural pressure inside the moving-average stack. It is not intended to forecast future prices, call tops or bottoms, or replace broader market analysis. Its purpose is to organize what the ribbon is doing now and how stable or unstable that structure appears to be.
The chart output combines multiple layers: the ribbon itself, a central stress spine, edge bands, optional stress aura, event labels, and a compact status panel. Together, these elements aim to make the ribbon easier to interpret without requiring the user to manually inspect every moving average line on every bar.
Unique Edge
Many ribbon-style tools focus on directional bias, crossovers, or broad expansion and contraction. This script focuses on internal ribbon stress.
Its main distinction is that it does not treat all ribbon trends as equal. A ribbon can be rising while still carrying internal disagreement. A ribbon can also look compressed or visually clean while underlying alignment, slope behavior, width dynamics, or price stretch are beginning to deteriorate. This script is built to surface those conditions.
The goal is not to reduce the market to a single signal. The goal is to provide a structured visual read on whether the moving-average stack is operating in a calm state, a loaded state, a strained state, or a more unstable condition. That makes it more useful as a workflow tool than as a simple trend-colour overlay.
Another point of differentiation is presentation. The script uses a ribbon-focused visual design so that the user can read internal condition directly from the chart. Focus modes, theme presets, stress spine layering, and a compact panel are included to keep the display informative without turning the chart into a dense dashboard.
Methodology
The script evaluates ribbon condition through five stress components.
1) Order Stress
This measures whether the moving averages are stacked cleanly or whether their order is becoming mixed. Lower stress suggests cleaner structural order. Higher stress suggests more internal disorder.
2) Slope Dispersion Stress
This evaluates how consistently the moving averages are sloping together. When the ribbon lines are moving with similar directional agreement, synchronization is stronger. When their slopes diverge, internal stress rises.
3) Width Instability Stress
This tracks whether the ribbon width is behaving in a stable or unstable way. A ribbon can widen in an orderly way or in a more erratic way. This component attempts to distinguish between those conditions.
4) Curvature Stress
This evaluates bending in the ribbon core. Strong changes in ribbon curvature may indicate increasing internal pressure or transition.
5) Price Stretch Stress
This measures how far price is moving from the ribbon core relative to ribbon width and ATR-based normalization. This is not a directional claim. It is a structure-based distance measure.
These components are weighted and blended into a smoothed Stress Score. That score then feeds the state engine.
Primary states include Calm, Loaded, Strained, Critical, Fractured, and Recovery. The panel and visual styling use those states to summarize the ribbon condition at the current bar.
Signals & Alerts
This script is built around state transitions and structural events rather than buy/sell promises.
Depending on settings, users may see event labels and alerts such as:
Stress Build
Shows that stress has crossed into an early loading phase.
Strained
Shows that the ribbon has moved into a more stressed internal state.
Critical Load
Highlights a higher-pressure condition where instability has become more meaningful.
Ribbon Fracture
Marks a stronger structural failure condition when stress and ribbon order deterioration align.
Stress Reset
Shows that a previously elevated stress condition has cooled enough to register recovery.
Order Restored
Highlights improvement in ribbon order after disorder had been present.
These events are not trade instructions. They are context markers intended to help users track shifts in ribbon condition. Alerts should be interpreted together with market structure, timeframe context, volatility, and personal risk management.
Key Inputs
Source and MA Type
The ribbon can be built from different moving-average types and data sources.
Ribbon Lengths
Users can define the six ribbon lengths to fit their preferred structure and timeframe.
Stress Engine Inputs
ATR length, slope lookback, width lookback, curvature lookback, smoothing, and component references allow users to calibrate how sensitive the stress model should be.
Weights
The script includes separate weights for order stress, slope dispersion, width instability, curvature stress, and price stretch stress.
Thresholds
Loaded, Strained, Critical, and Fracture thresholds can be adjusted for tighter or looser state transitions.
Theme Presets and Focus Mode
Theme presets and focus modes allow the ribbon to be displayed in different visual styles while preserving the same logic.
Events and Panel
Users can control label density, label spacing, marker visibility, and panel position.
Limitations & Transparency
This script is an interpretation framework built around moving-average relationships. It does not know future price movement, and it does not claim certainty. Like any model built on smoothed market data, it will react more slowly in some environments and may produce fewer useful transitions in others.
Different assets and timeframes can produce different ribbon personalities. A threshold or weight set that feels balanced on one market may feel too sensitive or too quiet on another. Users should expect to adapt settings if they move between instruments with very different volatility or trend behavior.
The stress model is also deliberately selective. It does not try to label every fluctuation or classify every candle. Its purpose is to organize ribbon condition, not to describe every possible market state.
This indicator should also not be confused with a complete trading plan. It does not define entries, exits, position sizing, or account risk. It is best used as a structural context tool inside a broader workflow.
Risk Disclosure
This script is for chart analysis and educational use. It is not financial advice, investment advice, or a promise of outcome.
No indicator can guarantee performance, remove risk, or eliminate false readings. Market conditions change, correlations shift, and trend behavior can weaken or reverse without warning. Any decision taken from this script should be made within a broader framework that includes price structure, liquidity, volatility, timeframe alignment, and risk control.
Users are responsible for testing settings, understanding the limitations of moving-average tools, and deciding whether the information produced by the script fits their own process.
Indicator
AG Pro Chaikin Money Flow Pressure [AGPro Series]AG Pro Chaikin Money Flow Pressure
Overview / What it does
AG Pro Chaikin Money Flow Pressure is a chart-overlay indicator built to translate Chaikin Money Flow behavior into a more structured view of buying and selling pressure on the price chart itself. Instead of presenting CMF only as a standalone oscillator around a zero line, this script converts money-flow behavior into visible pressure zones, a backbone line, selective event labels, and a compact decision panel. The goal is to make pressure conditions easier to read in context with price rather than in a separate pane.
The script is designed to help users judge whether positive or negative money-flow pressure is merely appearing, becoming more persistent, expanding with price support, or losing quality. In practical terms, it focuses on how pressure behaves through time, not only on whether CMF is above or below zero on a single bar. This distinction is important because many CMF readings are technically positive or negative while still being structurally weak, transitional, or unstable.
This publication is an indicator, not a strategy. It does not place orders, does not simulate broker execution, and does not claim to predict future price direction. Its purpose is to organize CMF-derived pressure information into a chart-readable framework that can be used for analysis, filtering, or confluence with a user’s existing process.
Unique Edge
The distinctive design choice in this script is that it treats Chaikin Money Flow as a pressure-structure input rather than as a simple zero-cross oscillator. The script evaluates pressure using a combination of directional bias, persistence, slope behavior, and exhaustion characteristics, then maps those conditions into an overlay format.
That makes it materially different from tools that focus primarily on:
- classic CMF zero-line interpretation,
- MFI-style overbought/oversold framing,
- OBV-style cumulative flow interpretation,
- divergence-first logic,
- or trend/momentum tools that derive most of their signal from price structure rather than money-flow persistence.
Within the broader AG Pro catalog, some scripts are centered on momentum, reaction quality, divergence behavior, or trend-state interpretation. This one is specifically built around CMF-derived pressure persistence. In other words, it is less about identifying a single trigger event and more about showing whether accumulation or distribution pressure is building, holding, fading, or reverting toward balance.
Methodology
The script begins with the standard Chaikin Money Flow foundation: money flow is derived from the close’s location within the bar range and weighted by volume across the selected CMF lookback. That raw series can then be smoothed to reduce short-term noise.
From there, the script classifies pressure through several layers:
1) Bias
Positive and negative CMF conditions establish the directional pressure side. This is the base layer, but it is not used alone.
2) Persistence
The script tracks how long positive or negative pressure has been maintained. Short-lived readings are treated differently from more persistent runs.
3) Expansion
The slope of the smoothed CMF series helps distinguish strengthening pressure from flatter or compressing conditions.
4) Exhaustion risk
When pressure remains extended but begins to weaken internally, the script can shift into a fading or exhaustion-sensitive interpretation instead of treating every positive or negative reading as equally strong.
These components are then summarized into:
- a state,
- a phase,
- a pressure score,
- a backbone-based pressure map,
- and selective event labels.
The overlay uses an EMA backbone and ATR-scaled zones to visualize where pressure is concentrated around price. Outer and core zones help separate broad pressure environment from tighter pressure concentration. A lightweight bridge effect is used to connect confirmed pressure conditions to price in a restrained way so the visual hierarchy remains readable.
Signals & Alerts
The script uses a state/condition framework rather than a direct buy/sell promise.
Core states include:
- Accumulation
- Distribution
- Balanced
- Exhaustion Risk
Phase interpretation includes:
- Building
- Holding
- Fading
- Neutral
Selective chart labels are intentionally limited to higher-quality transitions such as:
- ACCUM
- DIST
- FADE
- FLIP
Available alert conditions are designed around pressure behavior, not outcome guarantees:
- Pressure Building
- Pressure Holding
- Pressure Weakening
- Pressure Flip Risk
- Accumulation Regime Confirmed
- Distribution Regime Confirmed
These alerts are best understood as structural notifications about pressure behavior. They are not instructions to enter or exit positions by themselves.
Key Inputs
Important settings include:
- CMF Length: controls the main money-flow lookback.
- CMF Smoothing: reduces noise in the base CMF series.
- Neutral Band: defines when pressure is treated as balanced rather than directional.
- Strong Pressure Band: helps scale the pressure score and zone intensity.
- Exhaustion Band: helps identify stretched but weakening pressure conditions.
- Persistence Confirmation Bars: sets how long pressure should persist before confirmation.
- Backbone EMA Length: controls the central overlay structure.
- ATR settings: control the width of the pressure zones.
- Label filters and cooldowns: reduce repeated labels and keep the chart cleaner.
These inputs allow users to make the script more responsive or more selective depending on timeframe, asset behavior, and chart density.
Limitations & Transparency
This script does not measure real order-book flow, exchange-specific footprint data, or trade-by-trade delta. It is a CMF-based analytical model built from OHLCV data available on PulseWire. As with any derived indicator, its output depends on the quality and characteristics of the underlying market data.
The pressure score is not a prediction score and should not be interpreted as a probability of success. It is a normalized summary of current pressure quality based on the script’s internal framework. A higher score means the current pressure structure is stronger by the script’s rules; it does not mean the next move is guaranteed.
Like other pressure or flow-based tools, this script can become less reliable in choppy, thin, or event-driven conditions where pressure quickly alternates and persistence breaks down. It should also be expected that different assets and timeframes will respond differently to the same parameter set. Users should evaluate settings in the market context where they intend to use the indicator.
This publication is meant to explain what the script measures and how it organizes that information. It is not presented as a black-box promise, and it is not intended to replace independent chart reading, risk control, or broader market context.
Risk Disclosure
This script is provided for educational and analytical use. It does not constitute financial advice, investment advice, or a solicitation to buy or sell any financial instrument. No indicator can remove uncertainty from markets, and no visual state, score, zone, or alert should be treated as a guarantee of future results.
Users should make their own decisions, test their own process, and apply appropriate risk management. This tool is best used as a structured market-reading aid and as part of a broader analytical framework rather than as a standalone decision engine. Indicator
AG Pro Aroon Trend Freshness [AGPro Series]AG Pro Aroon Trend Freshness
OVERVIEW / WHAT IT DOES
AG Pro Aroon Trend Freshness is an overlay indicator designed to map the lifecycle of a trend through the lens of Aroon recency. Instead of treating Aroon as a simple crossover oscillator, this script reorganizes Aroon behavior into a freshness framework that helps users distinguish between newly refreshed trends, still-active trends, aging trends, and reset or neutral phases.
The core idea is straightforward: Aroon is naturally linked to recency because it measures how recently the market printed its highest high or lowest low within a selected lookback window. This script uses that characteristic to answer a more practical charting question: is the current directional structure still fresh, or is it starting to age?
To make that information easier to read directly on price, the script plots a trend backbone on the chart and classifies the current state into lifecycle phases such as Ignition, Fresh Trend, Mature Trend, Aging, and Reset / Neutral. The result is not a buy/sell engine. It is a context layer designed to help users assess whether a directional move is still renewing itself or gradually losing freshness.
This script is intended for traders and analysts who want a cleaner way to read trend recency without relying only on momentum, volatility, or moving-average distance. It can be used as a directional context tool, a state filter, or an additional confirmation layer when studying structure, pullbacks, continuation attempts, or exhaustion behavior.
UNIQUE EDGE
Most Aroon-based tools stop at directional interpretation, threshold crossings, or oscillator-style reading. AG Pro Aroon Trend Freshness takes a different path. It does not focus on standard crossover events as the primary message. Instead, it translates Aroon behavior into a trend-age map.
That distinction matters. Two trends can both remain directional while having very different freshness profiles. One may still be regularly refreshing with new structural extremes, while the other may be drifting forward without meaningful renewal. This script is built to highlight that difference.
The indicator is therefore not trying to measure everything at once. It does not attempt to replace trend strength tools, volume tools, volatility tools, market breadth tools, or correlation tools. Its job is narrower and more specific: to visualize whether directional structure is being refreshed, maintained, aged, or reset.
METHODOLOGY
The script starts from classic Aroon logic, which evaluates how recently the highest high and lowest low occurred within a user-defined lookback. From there, the script derives a directional bias and a freshness profile.
The directional side of the model evaluates which side currently dominates the lookback structure. The freshness side evaluates how recent and how persistent that dominance is, whether it is accelerating, stabilizing, or decaying, and whether the market is showing signs of reset rather than continuation.
To make the output easier to interpret on a live chart, the script organizes that information into lifecycle states:
- Ignition: a newly refreshed directional phase where recency improves sharply.
- Fresh Trend: an active directional state with strong freshness characteristics.
- Mature Trend: a still-valid trend state where freshness remains constructive but is no longer in its earliest phase.
- Aging: a state where directional structure may still exist, but freshness has started to decay.
- Reset / Neutral: a state where the previous directional freshness has weakened enough that the structure becomes less directional or less renewed.
The backbone and glow are visual aids, not forecasts. They are designed to make state transitions easier to see without forcing the user to inspect raw oscillator values. Panel statistics such as Trend Age Score, Refresh Pulse, Reset Risk, and Last Refresh Bars Ago are also contextual measures. They help summarize the current lifecycle condition, but they should not be interpreted as guarantees or as standalone trade instructions.
SIGNALS & ALERTS
The script can be used to monitor lifecycle transitions rather than raw directional triggers.
In practical use, users may watch for situations such as:
- a move entering Ignition after a reset phase,
- a trend remaining in Fresh Trend while structure continues to refresh,
- a shift from Fresh or Mature conditions into Aging,
- an increase in reset risk after an extended directional phase.
These state changes can be useful when analyzing pullback quality, continuation attempts, or exhaustion risk. However, the script is not intended to predict future price movement on its own. Alerts should be treated as structured notifications about state changes, not as automatic trade commands.
KEY INPUTS
- Aroon Length: controls the recency lookback window used by the freshness model.
- Confirmation / Filtering Settings: help reduce noise and make state transitions more selective.
- Label and Visual Settings: allow users to manage the amount of chart annotation.
- Panel Settings: control how lifecycle information is displayed on the chart.
Shorter settings generally make the model more reactive, while longer settings usually make it more selective and smoother. Users should adapt these inputs to the symbol, timeframe, and charting style they are working with.
LIMITATIONS & TRANSPARENCY
This script does not measure profitability, expectancy, or trade performance. It does not know position size, account risk, execution quality, slippage, spread, or portfolio context. It also does not replace market structure analysis, support/resistance work, volume interpretation, or higher-timeframe review.
Because the model is built on recency logic, it can react differently across instruments and regimes. Choppy markets may produce frequent state shifts. Strong trends may remain constructive longer than expected. Very low-volatility or highly erratic symbols may also affect how smoothly lifecycle states appear.
Users should understand that this indicator is designed to classify trend freshness, not to promise reversals, continuations, or outcomes. It is best used as a chart-reading framework that complements a broader process.
RISK DISCLOSURE
This indicator is for chart analysis and educational use. It is not financial advice and it does not provide guaranteed signals or future performance expectations. All trading and investing decisions involve risk. Users should evaluate markets with their own judgment, risk controls, and testing process before acting on any chart-based observation.
Indicator
AG Pro Volume Profile Acceptance Ladder [AGPro Series]AG Pro Volume Profile Acceptance Ladder
Overview / What it does
AG Pro Volume Profile Acceptance Ladder is a volume-structure indicator designed to monitor whether price is building acceptance, holding acceptance, or losing acceptance inside a rolling volume-defined band. Instead of treating volume profile as a static reference snapshot, this script tracks acceptance as a progressive process. The goal is not to predict where price must go next, but to help the user read whether the market is spending enough time and participation inside a value zone to justify calling that area accepted.
The script builds a rolling profile window, estimates the active acceptance band, and then classifies current behavior into states such as Probe, Build, Accept, Shift Watch, Shift Confirmed, and Fail. This creates a ladder-style framework for reading when the market is stabilizing within one value region and when that acceptance may be migrating toward another region. In practice, that makes it useful for users who want a structured way to distinguish temporary interaction from more durable volume-based acceptance.
A key design goal of this script is to separate acceptance progression from simple attraction-to-level logic. Some tools are built around whether price is pulled back toward a reference such as a POC or another central level. This script focuses on a different question: is the market actually building and holding acceptance inside a rolling value zone, and is that acceptance stable enough to be treated as an active auction area rather than a temporary touch.
Because of that framing, the indicator is best read as a market-structure context tool. It maps an evolving acceptance zone, estimates a directional ladder bias, and provides state transitions that can be used to organize chart reading, scenario planning, or alert workflows. It is not an execution engine, not a broker-grade order book product, and not a substitute for independent trade management.
Unique Edge
The distinguishing feature of this script is that it treats acceptance as a staged process rather than a single level event. The output is not limited to a profile center or a value-area drawing. Instead, the script evaluates how price behaves relative to a rolling volume-defined band and converts that behavior into a progression model.
That matters because a market can interact with a value area in very different ways. It can briefly probe it, begin building around it, hold it in a more stable manner, shift acceptance upward or downward, or fail to maintain acceptance altogether. By organizing those conditions into a ladder of states, the script attempts to make the auction process easier to read in real time.
This also makes the indicator materially different from a standard POC-centered interpretation. The emphasis here is not on magnetic pull toward one volume reference. The emphasis is on whether acceptance is forming, strengthening, or migrating. In that sense, the script is better understood as an acceptance progression map than as a simple volume anchor display.
Methodology
The script uses a rolling lookback window and distributes bar-based volume across a defined number of bins in order to approximate a local volume profile. From that rolling profile it derives the active central reference, the current acceptance band, and the relative participation of that band within the profile window.
Using those profile components, the script calculates several internal measures. These include how often price remains inside the band over a recent hold window, how often price re-enters the band after leaving it, how stable the band center is relative to recent values, and whether the active center appears to be migrating in a meaningful way. These measures are then blended into an aggregate acceptance score and a ladder bias.
The state engine uses those components to classify behavior into the following progression states:
- Reject
- Probe
- Build
- Accept
- Shift Watch
- Shift Confirmed
- Fail
These states should not be read as guarantees of continuation or reversal. They are condition labels describing how the script currently interprets interaction with the active acceptance band.
Signals & Alerts
The script includes deterministic state-based alerts so users can build workflows around changes in acceptance conditions.
Available alert events:
- Acceptance Building
- Acceptance Confirmed
- Upward Ladder Migration Confirmed
- Downward Ladder Migration Confirmed
- Acceptance Failed
- Acceptance Lost
These alerts are designed to reflect state transitions inside the indicator logic. They do not imply expected profitability, win rate, or directional certainty.
Key Inputs
- Profile Window: Defines the rolling lookback used for the local profile estimate.
- Bin Count: Controls the profile resolution.
- Value Area %: Defines how much of the rolling profile volume is used to construct the active acceptance band.
- Migration Sensitivity: Controls how easily the script classifies center shifts as migration activity.
- Probe Band Multiplier: Expands the outer interaction zone around the active acceptance band.
- Hold Lookback: Defines the window used for hold and re-entry style calculations.
- Theme / Panel Location / Panel Font Size / Label Font Size: Presentation controls for chart readability.
- Show Previous Acceptance Band / Show State Markers / Forward Extension Bars: Visual controls for context and labeling.
Limitations & Transparency
This script does not use exchange-native tick-by-tick volume profile data. It uses a bar-based approximation built from the information available to Pine Script on the chart. As a result, the acceptance band and profile structure shown by the indicator should be interpreted as a model of local volume distribution, not as a perfect reconstruction of exchange-level auction detail.
The ladder states are also model outputs, not objective market facts. Small changes in lookback, resolution, or volatility regime can influence how the script classifies the same area. Users should therefore treat the states as structured analytical context rather than as standalone instructions.
The indicator is also not intended to replace broader market analysis. Trend structure, liquidity conditions, volatility regime, higher-timeframe context, and instrument-specific behavior can all affect how useful an acceptance reading is in practice.
Risk Disclosure
This script is for chart analysis and educational use only. It does not provide financial advice, investment advice, or trade recommendations. All markets involve risk, and no indicator can guarantee outcome, timing, or future performance. Users should apply independent judgment, test settings carefully, and use risk management appropriate to their own methodology.
What this script is not
- It is not a promise of continuation or reversal.
- It is not a broker-grade volume profile engine.
- It is not a substitute for execution planning or risk control.
- It is not a claim that acceptance automatically leads to trend persistence. Indicator
AG Pro Correlation Breakdown Map [AGPro Series]AG Pro Correlation Breakdown Map
Overview / What it does
AG Pro Correlation Breakdown Map is an overlay indicator designed to monitor whether a chart symbol is maintaining, weakening, breaking, or repairing its relationship with a benchmark symbol.
The default benchmark in this version is Bitcoin via BINANCE:BTCUSDT, which makes the tool especially useful for crypto traders who want to understand whether an altcoin is still moving in line with BTC or beginning to decouple from it.
This script does not attempt to answer whether correlation is simply high or low in isolation. Its purpose is more specific: it first checks whether a meaningful benchmark relationship existed, then evaluates whether that relationship is starting to deteriorate, whether the deterioration is becoming a confirmed breakdown, and whether the relationship is later stabilizing again.
The result is a regime-style map that helps users read benchmark dependency through distinct states such as coupled, strained, breaking, broken, repairing, and recoupled. This makes the script useful for contextual analysis, benchmark-relative behavior studies, and chart review workflows where users want more than a single rolling-correlation number.
Unique Edge
The main difference of this script is that it is not a generic correlation line, not a spread-trading engine, and not a simple benchmark overlay.
Its focus is the structure of relationship failure.
Instead of only plotting short-term correlation, the script combines four layers:
1. prior relationship validation,
2. short-vs-long correlation deterioration,
3. independent price behavior,
4. persistence and repair logic.
That combination is what separates a temporary wobble from a more meaningful benchmark breakdown event.
This also makes the script distinct from tools that measure correlation pressure or synchronized stress. Correlation Breakdown Map is built around the question: “A relationship existed before, but is it now failing, and if so, how cleanly?”
Methodology
The script starts by selecting a benchmark series and transforming price data into returns. Users can choose between log returns and percent returns.
A short correlation window and a long correlation window are then calculated between the chart symbol and the benchmark. The long window is used to judge whether a stable benchmark relationship has existed, while the short window is used to detect more recent deterioration.
The model then evaluates the gap between long and short correlation, along with short-correlation slope behavior. A benchmark relationship is considered more vulnerable when the short window weakens materially relative to the long window and the short-correlation slope also softens.
To avoid treating every statistical wobble as a true event, the script also checks for independent price behavior. This layer measures whether the chart symbol is beginning to move in a way that is meaningfully different from the benchmark over a configurable lookback period.
Finally, persistence and repair conditions are applied. This allows the script to separate brief instability from a more durable breakdown state, and later identify whether the relationship is beginning to normalize again.
Signals & Alerts / States
This script is primarily a state-mapping tool rather than a directional buy/sell engine.
The core states are:
Coupled
The chart symbol remains meaningfully aligned with the benchmark relationship structure.
Strained
The prior relationship still exists, but weakness is starting to appear.
Breaking
The relationship is under active deterioration and may be transitioning into a more meaningful failure.
Broken
The chart symbol is behaving as if benchmark linkage has materially weakened.
Repairing
The breakdown is no longer cleanly expanding, and the relationship may be stabilizing.
Recoupled
The benchmark relationship has improved enough to suggest that the prior structure is functioning again.
The Breakdown Score is used as a compact summary value. It is not intended to be interpreted as a trade signal on its own. It is a regime-strength readout that helps users compare the current condition of the relationship with the underlying state labels.
Key Inputs
Benchmark Symbol
Sets the comparison symbol. The default is BINANCE:BTCUSDT.
Benchmark Timeframe
Allows users to keep the benchmark on chart timeframe or compare against another timeframe.
Source
Selects Close, HLC3, or OHLC4 for the benchmark study.
Short Correlation Length / Long Correlation Length
Define the fast and slow windows used to evaluate current deterioration versus prior relationship structure.
Stable Relationship Threshold
Controls how strong the historical relationship must be before the script treats later weakness as a true breakdown candidate.
Breakdown Threshold / Repair Threshold
Control how strict the transition logic is for deterioration and recovery.
Min Long/Short Correlation Gap
Requires a meaningful difference between longer-term and shorter-term correlation before escalation.
Independent Move Threshold
Defines how much benchmark-relative price independence is required before the script treats the event as more than a statistical fluctuation.
Breakdown Confirmation Bars / Repair Confirmation Bars
Control persistence and confirmation sensitivity.
Visual Settings
Users can customize theme, visual intensity, panel font size, panel position, event visibility, trail visibility, and chart context density.
Limitations & Transparency
Correlation is a descriptive relationship metric, not a causal model.
A relationship breakdown does not automatically imply immediate continuation, reversal, trend acceleration, or trade opportunity. It only means the chart symbol is no longer behaving as consistently relative to the selected benchmark under the current settings.
Different assets, timeframes, and volatility regimes can produce different correlation behavior. A benchmark relationship that looks stable on one timeframe may be much less stable on another.
Short lookbacks can react faster but may create more noise. Longer lookbacks can be more stable but slower to react.
This script should be interpreted in the context of market structure, volatility, liquidity, and the chosen benchmark. It is a framework for reading relationship quality, not a guarantee engine.
Risk Disclosure
This indicator is for analytical and educational use.
It does not provide financial advice, does not predict future price direction, and should not be used in isolation for trading decisions. Users should perform their own analysis, validate settings on the markets they follow, and apply appropriate risk management. Indicator
AG Pro Volume Delta Imbalance Map [AGPro Series]AG Pro Volume Delta Imbalance Map
OVERVIEW / WHAT IT DOES
AG Pro Volume Delta Imbalance Map is an overlay-style volume pressure tool designed to visualize directional participation asymmetry directly on the price chart. Instead of presenting volume as a standalone histogram or reducing the analysis to a single cumulative line, this script maps estimated directional imbalance into a chart-native structure built around a basis line, a flow spine, and an adaptive ribbon. The result is a cleaner view of whether recent participation is leaning bullish, bearish, or balanced, while keeping the analysis anchored to actual price movement.
The script is built for traders who want a more visual interpretation of directional volume pressure without relying on a separate lower-pane oscillator. The main purpose is not to predict tops, bottoms, or reversals in isolation. Its role is to help users read where directional pressure is expanding, where it is fading, and where the current state remains neutral or low-conviction. By placing the analysis directly on the chart, the script aims to make flow conditions easier to compare with market structure, pullbacks, trend continuation attempts, and local regime shifts.
A key design objective of this script is practical readability. Many volume-based tools either become too abstract for quick chart work or too visually dense to remain useful during live decision-making. Here, the imbalance model is translated into a compact overlay with a smoothed directional spine, a ribbon that adapts to pressure intensity, optional burst labels, optional zone-start labels, and a summary panel that reports the current state, bias, strength, persistence, label mode, and exhaustion condition. This keeps the output interpretable across multiple markets and timeframes without forcing the user to decode a complicated dashboard.
This script should be understood as a directional-volume map, not as a trade automation engine. It is intended to support chart reading, context building, and workflow discipline. It can help highlight when directional participation is broadening, when pressure alignment is improving, or when a previously strong move begins to lose quality. Those observations can then be combined with price structure, support and resistance, volatility context, and the user’s own execution framework.
UNIQUE EDGE
The main differentiator of this script is that it does not approach volume pressure in the same way as classic cumulative-flow or oscillator-style tools. Traditional cumulative tools such as OBV compress volume behavior into a running line, while money-flow oscillators often frame the analysis around momentum-style expansion and contraction in a lower pane. AG Pro Volume Delta Imbalance Map takes a different route: it transforms estimated directional pressure into an on-chart flow structure that is designed to be read alongside candles, pullbacks, transitions, and continuation attempts.
Another differentiating element is the emphasis on flow state rather than raw volume magnitude alone. The script is not simply asking whether volume is high or low. It is asking whether directional participation is leaning to one side strongly enough to create an interpretable imbalance state, whether that pressure is stabilizing or intensifying, and whether that condition is durable enough to remain relevant across several bars. This creates a more structural view of participation rather than a purely reactive one.
The visual architecture is also intentionally distinct. The flow ribbon is not only cosmetic. It is designed to express directional pressure breadth around the spine, while the spine itself provides a simpler anchor for the prevailing flow direction. Optional labels then mark either stronger burst moments or the beginning of a new directional zone, depending on user preference. This allows the script to serve different chart-reading styles without changing the core methodology.
Finally, transparency matters. This script does not claim to be a true bid/ask footprint, a tape-reading engine, or an exact institutional order-flow detector. It uses an estimated directional-volume proxy derived from price-location and candle-structure behavior. That distinction is important. The objective is to provide a disciplined, readable directional-pressure framework within the constraints of standard chart data, not to imply access to information the script does not use.
METHODOLOGY
The model begins with a directional-pressure proxy built from three components: close location within the bar, candle body dominance relative to the full range, and directional sign reinforcement from candle structure. These inputs are blended into a bounded hybrid bias value intended to estimate whether recent volume participation was more likely to have leaned bullish or bearish within the bar. That estimate is then scaled by the bar’s volume to produce directional volume estimates and a delta-style imbalance reading.
The raw imbalance is normalized using a volume baseline so that the output remains more comparable across changing participation environments. The normalized value is then smoothed to reduce excessive noise and to create a more usable state engine. From there, bullish, bearish, and balanced conditions are determined through explicit thresholds. This means the displayed state is not arbitrary. It is driven by a consistent threshold structure that helps separate neutral conditions from more meaningful directional pressure.
The chart overlay is built around three visual elements. First, a basis line offers a stable reference. Second, the flow spine tracks the smoothed imbalance state translated onto price space. Third, an adaptive ribbon expands or contracts around the spine based on imbalance strength, which helps communicate whether directional participation is broadening or losing intensity. Together, these components aim to make flow conditions visible without overwhelming the chart.
The script also tracks persistence and a simplified exhaustion heuristic. Persistence reflects how long the current directional state has remained in force, while exhaustion attempts to highlight cases where imbalance remains strong but starts to weaken while price response underperforms. This is not a reversal guarantee. It is a contextual warning that a previously forceful participation state may be losing efficiency.
SIGNALS & ALERTS
The script can label directional events in two different styles. In Burst Labels mode, labels are reserved for stronger acceleration moments inside an existing directional condition. In Zone Start Labels mode, labels are printed when a new directional zone begins. This distinction matters because some traders prefer confirmation after pressure expansion, while others prefer earlier visual markers at the start of a state change.
Bullish and bearish imbalance burst alerts are available for users who want notification when directional pressure expands beyond the relevant threshold. These alerts are best interpreted as flow acceleration events, not standalone entry signals. In practice, many users will prefer to combine them with local structure, pullback quality, reclaim behavior, or continuation context.
The script also includes bias reversal alerts and imbalance strength expansion alerts. These are useful for monitoring whether a previously balanced or opposing environment is transitioning into a new directional condition, or whether an already active imbalance is strengthening enough to deserve attention. The summary panel helps reinforce these changes by showing state, bias, strength, persistence, label mode, and exhaustion status in a compact format.
A separate exhaustion-risk alert is provided for conditions where the model detects that a strong imbalance may be fading in quality. This should be interpreted as a caution flag, not as a direct call to reverse or exit automatically. In many workflows, it is more useful as a prompt to reassess the context, tighten risk discipline, or watch for weakening continuation quality.
KEY INPUTS
Normalization Lookback controls the volume baseline used in the imbalance normalization process. Larger values can stabilize the model, while smaller values can make the output more reactive. Imbalance Smoothing influences how quickly the directional state responds to changing pressure. Shorter smoothing reacts faster but may increase noise, while longer smoothing can improve stability at the cost of responsiveness.
Map Basis EMA Length affects the visual anchor used for the overlay. ATR Length and Spine ATR Multiplier influence how the spine is translated into price space and how the ribbon behaves around it. Flow Ribbon Width controls the breadth of the visible pressure corridor, while Bull Flow Width Boost allows the bullish side to be widened slightly for visual emphasis when appropriate.
Bullish and Bearish Imbalance Thresholds define when the script considers directional pressure strong enough to move out of the balanced state. Burst Threshold determines when the model treats a move as a more meaningful acceleration event. Extreme Threshold contributes to the exhaustion logic and strength classification. Users can also choose whether labels represent burst moments or zone starts, depending on how early or selective they want the chart annotations to be.
Visual controls allow users to show or hide the basis line, flow ribbon, spine glow, backdrop, burst labels, exhaustion labels, spine tag, and panel. Panel position, panel theme, text sizing, label sizing, and offset controls are included so that the script can be adapted to different chart layouts and personal reading preferences without changing the underlying methodology.
LIMITATIONS & TRANSPARENCY
This script uses an estimated directional-volume model. It does not use order-book data, footprint data, bid/ask tape data, or exchange-level aggressor classification. As a result, the displayed imbalance should be understood as a chart-based directional proxy, not as an exact measurement of true traded delta.
Because the model relies on price-location and candle-structure inputs, the output can behave differently across instruments with different volatility profiles, gap behavior, liquidity conditions, and session structures. It is normal for a setting that looks well balanced on one asset or timeframe to require refinement on another. Users should expect to tune thresholds and visual parameters when moving between markets.
Signals and labels are contextual. A bullish label inside a weak range environment does not carry the same meaning as a bullish label that appears after a reclaim, a pullback stabilization, or a clean continuation structure. Likewise, a bearish label during highly erratic volatility may be less reliable than a similar reading inside a smoother directional sequence. The script is designed to assist interpretation, not to replace it.
No single output from this script should be treated as a guaranteed trade trigger, reversal call, or risk-management rule. The panel, ribbon, spine, and labels are tools for reading participation conditions. They are most useful when integrated with broader chart context, including trend structure, invalidation logic, nearby levels, liquidity conditions, and the user’s own process.
RISK DISCLOSURE
This script is for chart analysis and educational use. It does not provide financial advice, portfolio advice, or guaranteed trade outcomes. All trading and investing involve risk, including the risk of loss. Past market behavior and prior indicator responses do not guarantee future results.
Users remain fully responsible for how they interpret and apply the script. Any signal, label, or state reading should be evaluated within a complete decision process that includes market context, risk definition, and position management. This script should not be used as the sole basis for entering, exiting, or sizing a trade.
If you use this tool in live market conditions, it is sensible to test it across different assets and timeframes and to confirm that its behavior matches your own execution logic before relying on it in a real-money workflow. Indicator
AG Pro Relative Strength Rotation Map [AGPro Series]AG Pro Relative Strength Rotation Map
OVERVIEW / WHAT IT DOES
AG Pro Relative Strength Rotation Map is a relative leadership framework designed to evaluate how the active symbol is behaving versus a user-defined reference symbol. Instead of focusing only on absolute price movement, this script studies whether the active market is strengthening, weakening, stabilizing, or rotating relative to its benchmark.
The script builds a smoothed relative-strength backbone, measures rotation pressure through fast-versus-slow internal comparison, and classifies the current environment into clear structural states. The goal is not to predict future price, but to help the user read whether relative leadership is improving, fading, or losing quality.
This makes the script useful when the question is not simply “is price going up or down?” but rather:
- Is this symbol outperforming or underperforming a chosen benchmark?
- Is leadership gaining traction or fading?
- Is the current rotation constructive, weak, or at risk of deterioration?
Because of that, the script can be used across multiple workflows, including:
- crypto asset vs BTC or another reference asset
- stock vs index benchmark
- sector ETF vs broader market ETF
- instrument vs instrument relative comparison
UNIQUE EDGE
This script is not a simple ratio line, not a screener, and not a classic momentum oscillator.
Its main distinction is that it separates relative-strength behavior into a structured rotation model built from:
- relative-strength bias
- rotation pressure
- persistence
- state transitions
In other words, it does not stop at showing whether one asset is stronger than another. It also attempts to show whether that leadership is building, stable, fading, or structurally vulnerable.
Compared with many standard relative-strength tools, this script is designed to be more state-driven and map-oriented rather than just line-oriented.
Compared with other AG Pro scripts, this one addresses a different problem set:
- it does not grade breakout quality
- it does not analyze reclaim behavior around a single moving average or level
- it does not map exhaustion or pressure inside one symbol in isolation
- it does not classify broad market regime
- it does not function as a multi-symbol screener
Instead, it focuses on one specific task:
reading relative leadership rotation between the active chart and a chosen benchmark.
That makes it structurally different from the rest of the AG Pro catalog and useful as a complementary layer rather than an overlapping one.
METHODOLOGY
The script starts by building a relative-strength ratio between the active symbol and the selected reference symbol. That ratio is then normalized around its own baseline and smoothed into an RS backbone so that the user can observe directional leadership more clearly.
A rotation-pressure engine is then derived from the relationship between faster and slower internal measures of that backbone. This helps estimate whether relative movement is gaining traction, losing traction, or transitioning.
A persistence component is also included so short-lived fluctuations are not treated the same way as more durable relative-strength behavior.
Using those building blocks, the script classifies market structure into states such as:
- Leadership Rising
- Leadership Stable
- Rotation Building
- Leadership Fading
- Breakdown Risk
- Neutral / Mixed
This is intended as a decision-support framework for context reading, not a standalone execution model.
SIGNALS & ALERTS
The script can mark structural events such as:
- Leadership Reclaim
- Rotation Build
- Leadership Fade
- Breakdown Risk Rising
- State Changed
These events are derived from the internal relative-strength and rotation conditions of the model. They are intended to help the user notice structural changes in leadership behavior, not to serve as guaranteed entry or exit instructions.
KEY INPUTS
Important controls include:
- Reference Symbol
- Timeframe source selection
- RS Baseline Length
- Backbone Smoothing
- Pressure Fast Length
- Pressure Slow Length
- Threshold Length
- Persistence Length
- Signal Sensitivity
- Zone visibility
- Histogram visibility
- Event label visibility
- Panel position and style controls
These inputs allow the user to adapt the script to different symbols, volatility profiles, and chart-reading preferences.
LIMITATIONS & TRANSPARENCY
This script does not measure intrinsic value, fundamentals, liquidity quality, or macro context. It only evaluates relative-strength behavior through its own internal model.
Like any state-based framework, it can produce transitions that later reverse, especially in noisy or low-conviction market conditions. Relative-strength leadership can also change quickly when the benchmark itself becomes unstable or when both assets move in the same direction with changing intensity.
This script should therefore be used as a contextual and comparative tool, not as a promise of continuation, reversal, or future performance.
It is also important to understand what this script is not:
- not a prediction engine
- not a full portfolio allocator
- not a complete trading system
- not a substitute for confirmation, risk management, or broader market context
RISK DISCLOSURE
This script is for chart analysis and research support only. It does not provide financial, investment, legal, or tax advice. Markets involve risk, and no indicator can guarantee performance or prevent loss. Decisions involving real capital should be made only with appropriate risk controls and independent judgment.
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