Visible Range Support and Resistance [BigBeluga]🔵 OVERVIEW
Visible Range Support and Resistance is a dynamic support/resistance tool that analyzes price structure only within the visible range of your chart. It detects key levels based on clustered pivots inside a binned vertical range and highlights zones where price has historically reacted. The tool adjusts in real-time as you pan or zoom, offering adaptive precision at any scale.
🔵 CONCEPTS
Pivot Clustering: Price highs/lows are collected into horizontal "bins" across the visible chart range. If multiple pivots align within a bin, that area is marked as a potential support or resistance zone.
Visible Range Only: Calculations are limited strictly to the bars currently visible on the chart. Zooming or panning changes the result.
Bin System: The visible high-to-low range is divided into 100 horizontal zones (bins) to group pivots and detect confluence.
Multi-Threshold Detection: Users can enable two separate S/R detection levels with different pivot count thresholds for more nuanced signals. The more pivot points a level has, the thicker and richer the color.
Directional Context: Labels include arrows (▲ or ▼) to show whether the current price is above (support) or below (resistance) each zone.
Range Boundaries: The top and bottom of the visible range are marked with dashed lines and labeled as Top Range and Bottom Range .
🔵 FEATURES
Detects S/R zones based on the number of pivots found within each price bin.
100 horizontal bins divide the visible price range, allowing high resolution detection.
Only uses data from visible bars—zooming out recalculates the indicator for more data.
Customizable number of pivot confirmations (e.g., 2, 3, 4, 5) before a level is shown.
5 Pivots
Dual-level detection lets you show stronger and weaker zones separately.
Automatically colors support (green) and resistance (blue) with dynamic intensity.
Labels show pivot count and direction (support/resistance).
Automatic cleanup of overlapping levels for visual clarity.
Dashed top/bottom range markers help define the visible scope.
Session SMA calculates from the visible range start (from the chart edge)
Visible range bars count
🔵 HOW TO USE
Zoom in for precise intra-range support and resistance zones based on current structure.
Zoom out to load more pivot data and identify long-term levels.
Use the pivot threshold (e.g., 3 or 4) to control signal strength—higher = stronger levels.
Watch for price reactions or breakouts around high-pivot zones to identify key areas.
Combine with trend, volume, or order flow tools to confirm the relevance of each S/R zone.
Adjust line and label colors for better contrast with your chart theme.
🔵 CONCLUSION
Visible Range Support and Resistance is a smart, range-sensitive tool for mapping meaningful horizontal levels. By scanning only what you see on the screen, it provides an adaptive edge to traders focused on real-time price action. Whether you’re scalping short-term zones or zooming out for macro structure, this tool flexes with your view to keep the most relevant levels front and center. Indicator
Elaris Absorption Zones ProElaris Absorption Zones Pro
Elaris Absorption Zones Pro is an advanced price-action and volume analysis indicator designed to identify potential absorption events where aggressive market orders are absorbed by opposing passive liquidity.
The indicator focuses on situations where price attempts to break an important level but fails to continue, suggesting that significant limit orders may be absorbing the incoming buying or selling pressure.
Unlike traditional breakout indicators that look for continuation, this tool is designed to highlight failed auctions, rejection events, and potential liquidity absorption zones that may lead to reversals, pullbacks, or reduced directional momentum.
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What Is Absorption?
Absorption occurs when aggressive participants repeatedly attempt to push price through a level using market orders, but opposing limit orders absorb that pressure and prevent further movement.
Examples include:
• Buyers aggressively pushing above resistance but failing to achieve continuation.
• Sellers aggressively pushing below support but failing to achieve continuation.
• Large rejection wicks appearing after a breakout attempt.
• High volume with limited price progress (Effort vs Result imbalance).
These conditions can indicate the presence of significant liquidity providers defending a price area.
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How The Indicator Works
The indicator combines multiple confirmation layers:
Market Structure Analysis
The script monitors:
• Confirmed swing highs and swing lows
• Recent trading ranges
• Failed breakout attempts
Price must first attempt to break an important structural level before absorption conditions can be evaluated.
Rejection Analysis
The indicator evaluates:
• Upper wick size
• Lower wick size
• Body-to-range relationship
Large rejection wicks combined with small candle bodies may indicate strong opposing liquidity.
Volume Confirmation
Volume is evaluated using:
• Relative volume
• Volume moving averages
• Optional volume Z-score analysis
This helps identify situations where participation is elevated compared to normal market activity.
Effort vs Result Model
One of the core components of the indicator is Effort vs Result analysis.
High volume combined with poor directional progress can indicate that incoming orders are being absorbed rather than successfully moving the market.
Absorption Scoring
Every detected signal receives a strength score based on:
• Rejection quality
• Relative volume
• Candle efficiency
Higher scores generally indicate stronger absorption characteristics.
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Features
✔ Bullish absorption detection
✔ Bearish absorption detection
✔ Failed breakout recognition
✔ Confirmed swing structure analysis
✔ Range breakout absorption detection
✔ Relative volume filters
✔ Volume Z-score filtering
✔ Effort vs Result analysis
✔ Absorption strength scoring
✔ Optional absorption zones
✔ Zone retest detection
✔ Dashboard with live metrics
✔ Alert conditions
✔ Non-repainting confirmation mode
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Bullish Absorption
Bullish absorption may occur when:
1. Price breaks below support.
2. Sellers attempt continuation.
3. Price quickly returns above the level.
4. A strong lower rejection wick forms.
5. Volume confirms elevated participation.
This may suggest that passive buyers absorbed the selling pressure.
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Bearish Absorption
Bearish absorption may occur when:
1. Price breaks above resistance.
2. Buyers attempt continuation.
3. Price closes back below the level.
4. A strong upper rejection wick forms.
5. Volume confirms elevated participation.
This may suggest that passive sellers absorbed the buying pressure.
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How To Use
Many traders use absorption signals as:
• Early reversal warnings
• Liquidity sweep confirmations
• Support and resistance confirmation
• Market structure confirmation
• Trade management tools
For best results, consider combining absorption signals with:
• Trend analysis
• Market structure
• Higher timeframe context
• Risk management rules
• Additional confirmation tools
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Non-Repainting
When "Confirm Only After Candle Close" is enabled, signals are generated only after a candle has fully closed.
Confirmed swing levels are based on completed pivot structures.
This helps reduce signal instability and prevents intrabar repainting behavior.
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Important Notes
This indicator does not use Level II, order book, footprint, or exchange matching engine data.
Because PulseWire Pine Script does not have direct access to actual market order flow, absorption is estimated using a combination of price action, rejection behavior, volume analysis, and structural breakout failure characteristics.
As with all trading tools, signals should be used as part of a complete trading plan and not as standalone buy or sell recommendations.
Indicator
Volume Profile Composite, Naked POC & Value-AreaVolume Profile — Composite, Naked POC & Value-Area
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WHAT IT IS
A volume-at-price profile built for depth and decisions. It measures where trade
actually concentrated across the loaded history, distils that distribution into
the levels traders use — Point of Control (POC), Value Area (VAH/VAL), High and
Low Volume Nodes (HVN/LVN), and untested "naked" prior-session POCs — and then
converts those levels into a plain-language read of where price sits in the
auction (premium, discount, or inside value; balancing or migrating).
It is a study for chart analysis and education. It plots levels and context; it
does not place orders and does not output buy/sell signals.
HOW IT WORKS (ENGINE)
Volume is accumulated bar by bar into a price-keyed map on a fine grid (the
symbol's minimum tick multiplied by a user factor), then re-aggregated to the
chosen number of display rows. Because the engine uses a map rather than a fixed
lookback array, the profile can span every loaded bar instead of only a recent
window, and it is not limited by the historical bar-reference ceiling.
Each bar's volume is distributed across that bar's high-low range over a capped
number of samples, and tagged buy or sell by bar direction, producing a two-tone
histogram and a per-level delta. Where intrabar (lower-timeframe) data is
available, recent history can optionally be refined from it; older bars fall back
to the bar-range method. The Value Area is grown outward from the POC bin until
the chosen percentage of total volume is captured. Prior-day, prior-week and
full-history composite levels reuse the same value-area routine on their own maps.
The heavy redraw runs on bar open/close rather than on every realtime tick, to
keep live charts responsive.
WHY THESE COMPONENTS ARE COMBINED (MASHUP JUSTIFICATION)
This is one volume-profile engine, not a stack of independent indicators. Every
layer is computed FROM THE SAME accumulated volume map, and each one exists to
remove a specific blind spot of the raw histogram. A bare histogram only answers
"where did volume happen"; it cannot tell you whether price is rich or cheap,
which level matters next, or whether the market is balancing or trending. The
combined layers answer those questions, and they work together as follows:
- POC and Value Area transform the raw distribution into a fair-value frame, so
every other reading can be expressed as premium, discount, or inside value.
- HVN and LVN classify each price level produced by that same distribution as
acceptance (a volume shelf where reactions are more likely) or a thin gap
(where price tends to move quickly). This tells you how a level is likely to
behave, which the POC/Value Area alone do not.
- Naked prior-session POCs carry acceptance forward in time: they are POCs from
earlier sessions that price has not yet traded back through, derived from the
same per-session maps, and they act as revisit references.
- Value migration is simply the sequence of those session POCs read as a
direction, turning the profile history into a balancing-versus-trending read.
- The composite overlay keeps the full-history POC and Value Area in view while
you work a shorter, more legible recent window, so context is never lost.
- VWAP, Initial Balance, an expected-move band, and cumulative-volume-delta
divergence are confluence layers. They are optional and each degrades
gracefully if its data is absent. They are included because volume-profile
levels are used in context: VWAP gives the session's volume-weighted mean,
Initial Balance gives the opening reference, the expected-move band frames a
realistic day's range, and CVD-versus-price flags exhaustion. Each one answers
"does independent volume/price information agree with what the profile shows
here?", which is exactly how these levels are traded in practice.
- The Auto-Read is the synthesis step: it does not add new data, it ranks the
levels the engine already produced by distance to price and states the auction
context in words.
In short, the histogram is the raw material and every other element is a
transformation of that same data into a level, a classification, a confluence
check, or a written read. That shared derivation is the reason they belong in a
single script rather than as separate indicators.
WHAT IT PLOTS
- Buy/sell two-tone histogram, drawn in the clear space to the right of price so
candles stay visible.
- POC, Value Area (VAH/VAL, adjustable percentage), HVN/LVN nodes.
- Naked daily POCs, with a creation-time check that skips levels already traded
through and an optional age-out so the list stays meaningful.
- Polarity flip: a prior-day Value Area edge that price closes decisively beyond
and holds changes role (broken VAH becomes support; broken VAL becomes
resistance) and feeds the support/resistance read.
- Prior-day and prior-week POC/Value Area, full-history composite overlay,
developing POC.
- VWAP with standard-deviation bands, Initial Balance, expected-move band,
cumulative-volume-delta divergence, buy/sell imbalance shelves, poor highs/lows,
single-print gaps.
- Higher-timeframe POC bias (a light proxy — see Limitations).
- Auto-Read dashboard (full or compact), one-line headline, and an on-chart
identity strip showing the script name, symbol and timeframe.
HOW TO USE
1. Choose a scope: Rolling (default), Composite (all history), From date, or
Fixed range. The composite overlay keeps the big-picture levels visible.
2. Read location first from the headline or dashboard: inside value, premium, or
discount, and whether value is migrating up, down, or flat.
3. Treat the levels as a map, not a signal. POC acts as a mean-revert magnet;
Value Area edges are balance boundaries; HVN suggests stalls; LVN suggests
fast moves; a naked POC is a revisit reference.
4. Look for confluence with VWAP, Initial Balance, and prior-session levels, and
treat CVD divergence as a caution flag.
5. Detail presets (Simple / Standard / Pro) gate how much is shown. A compact
dashboard toggle trims the table to the key decision fields.
WHAT MAKES IT ORIGINAL
- Full-history depth via the price-keyed map, beyond a fixed lookback window.
- A built-in, past-only calibration of the profile's own claims: it logs
value-edge and POC-stretch reversion events against the prior-day Value Area
(which exists on every bar, so the measurement backfills over history), waits a
fixed horizon, and reports the realised hit-rate with a 95% confidence
interval. This is descriptive of past behaviour on the specific instrument; it
is explicitly not a backtest and not a forecast.
- A decision-ordered, plain-language Auto-Read derived entirely from the engine's
own levels.
DATA SOURCE AND ANY-MARKET USE
The volume source is user-selectable (Settings > Data source), so the profile can
be built from the symbol's own volume or from any other series your feed
provides. For symbols that report no native volume (some cash indices and FX
feeds), an optional "borrow volume" field lets you supply a volume-bearing proxy
for the same instrument; it only activates when the charted symbol genuinely has
no volume. The volatility-index symbol for the expected-move band is also
user-set and falls back to a daily-ATR band when left blank. An optional
asset-class auto-tune adapts the grid and node percentiles to the detected class.
All of these are blank or off by default, so nothing is tied to one market.
CALIBRATION NOTE
The calibration panel is descriptive only. It reports how often, in the past, on
the current symbol, price followed through after the logged events. Small samples
are flagged. It is not a probability of future results.
LIMITATIONS (HONEST)
- This uses a BAR-RANGE volume distribution (optionally refined by lower-timeframe
bars). It approximates where volume traded within each bar. It is NOT exchange
price-by-price volume, tick data, or order-flow/footprint, and it cannot see
bid/ask.
- It needs real volume. Cash indices often report none — use the matching future
or continuous contract, or the borrow-volume field.
- The higher-timeframe POC is a light single-bar proxy (the price of the
highest-volume higher-timeframe bar over a lookback), not a full higher-
timeframe profile.
- All readings are probabilistic context, not predictions.
DISCLAIMER
This script is a study/indicator for chart analysis and education only. It is NOT
a strategy, NOT a recommendation, and NOT financial advice. It places no orders
and guarantees no result. Trading involves substantial risk; a level's past
behaviour does not assure future behaviour. Do your own research and manage your
own risk.
Indicator
Elaris Auto Trend Fibonacci ProElaris Auto Trend Fibonacci Pro
Overview
Elaris Auto Trend Fibonacci Pro is an advanced market structure and Fibonacci analysis tool designed to automatically identify directional trends, detect significant swing points, and project professional-grade Fibonacci retracement and extension levels directly on the chart.
Unlike manual Fibonacci drawing tools that require traders to constantly adjust anchor points, this indicator continuously analyzes confirmed swing structure and automatically maps the most relevant Fibonacci framework based on the current market trend.
The goal is to help traders quickly identify potential pullback zones, trend continuation areas, profit targets, and key reaction levels without manually redrawing Fibonacci levels throughout the trading session.
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How The Indicator Works
1. Swing Structure Detection
The indicator first identifies confirmed swing highs and swing lows using a configurable pivot confirmation algorithm.
A swing is only considered valid after confirmation, which helps eliminate many false or premature swing points that often appear during volatile market conditions.
The minimum swing size can also be filtered using ATR-based validation, ensuring that insignificant market fluctuations are ignored.
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2. Trend Identification
After detecting valid market structure, the indicator determines the dominant directional trend.
Bullish trends are identified when recent confirmed swing lows lead into higher confirmed swing highs.
Bearish trends are identified when recent confirmed swing highs lead into lower confirmed swing lows.
An optional EMA trend filter can be enabled to require alignment between price structure and moving average direction.
This additional layer helps reduce counter-trend Fibonacci projections.
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3. Automatic Fibonacci Mapping
Once a valid trend is detected, Fibonacci levels are automatically projected between the most relevant confirmed swing points.
The indicator plots:
• 0.236 Retracement
• 0.382 Retracement
• 0.500 Midpoint
• 0.618 Golden Ratio
• 0.786 Deep Retracement
• 1.000 Retracement
These levels represent areas where pullbacks, reactions, trend continuations, or reversals may occur.
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4. Golden Zone Highlighting
The area between the 50% and 61.8% retracement levels is automatically highlighted as the Golden Zone.
Many traders monitor this region because it often represents an area where institutional participants may re-enter an existing trend after a pullback.
The highlighted zone provides a quick visual reference for potential trend continuation opportunities.
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5. Extension Targets
The indicator can optionally project Fibonacci extension levels beyond the current trend.
Available extension targets include:
• 1.272 Extension
• 1.618 Extension
• 2.000 Extension
These levels can be used as potential profit-taking areas, trend continuation objectives, or future reaction zones.
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6. Trend Dashboard
A built-in dashboard provides real-time information including:
• Current trend direction
• Swing strength relative to ATR
• Fibonacci anchor direction
• Golden zone status
• Indicator operating mode
The dashboard helps traders evaluate current market conditions without needing additional analysis tools.
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How To Use
Trend Continuation
1. Wait for a confirmed bullish or bearish trend.
2. Allow price to retrace toward the highlighted Fibonacci levels.
3. Monitor the Golden Zone for potential continuation setups.
4. Use extension levels as potential target areas.
Pullback Analysis
The 38.2%, 50%, and 61.8% retracement levels can help identify areas where temporary corrections may end and the primary trend may resume.
Target Projection
The Fibonacci extensions can be used to estimate possible future trend objectives after a successful continuation move.
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Important Notes
• The indicator uses confirmed swing points and does not rely on future-looking calculations after confirmation.
• Fibonacci levels automatically update when a new confirmed market structure is established.
• The indicator is designed for trending markets and may generate fewer meaningful projections during prolonged ranging conditions.
• This tool is intended for technical analysis and should not be used as a standalone trading system.
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Best Markets
The indicator can be applied to:
• Cryptocurrency Markets
• Forex Markets
• Stock Markets
• Index Markets
• Commodity Markets
It is particularly effective on higher liquidity instruments where market structure tends to be more consistent.
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Best Timeframes
Recommended timeframes:
• 15 Minutes
• 1 Hour
• 4 Hours
• Daily
Higher timeframes generally produce more reliable market structure and Fibonacci projections.
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Alerts
The indicator includes alerts for:
• Trend direction changes
• Golden Zone interactions
• Key Fibonacci level breaks
These alerts can be integrated into trading workflows for additional monitoring and confirmation.
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Thank you for using Elaris Auto Trend Fibonacci Pro.
Indicator
Smart Gap & Support and Resistance Breakout [MarkitTick]💡 This technical analysis script provides a highly sophisticated framework for market structure mapping, gap categorization, and breakout validation. By tracking structural pivot points and combining them with algorithmic gap analysis, the indicator systematically identifies areas of significant price imbalance and evaluates their impact on subsequent price action. The tool dynamically maps historical and developing support and resistance levels across multiple timeframes, integrating volume analysis and time-decay functions to ensure only the most relevant structural levels remain active. Designed for robust technical evaluation, it utilizes a strict non-repainting architecture for its multi-timeframe data retrieval, ensuring historical integrity during retrospective analysis.
✨ Originality and Utility
While many indicators plot basic support and resistance levels or highlight price gaps, this tool introduces a high degree of originality through its algorithmic synthesis and mashup methodology. The combination of structural pivot tracking and gap categorization is a deliberate and logical confluence. Gaps inherently represent sudden shifts in supply and demand, frequently acting as hidden support or resistance zones. By merging gap analysis with traditional pivot-based market structure, the script provides a unified view of market geometry.
Furthermore, the script distinguishes itself by categorizing gaps dynamically into three distinct types: Breakaway, Runaway, and Exhaustion. Rather than treating all price voids equally, it applies contextual logic—such as trend maturity and volume confirmation—to evaluate the probabilistic nature of the gap. The utility is further enhanced by an advanced multi-timeframe engine that overlays macro structural levels onto the active chart without introducing lookahead bias, providing traders with a pristine, top-down analytical perspective within a single pane.
🔬 Methodology and Concepts
● Structural Pivot Detection
The foundation of the script relies on identifying Swing Highs and Swing Lows.
A Pivot High is established when a specific high price is preceded and followed by a defined number of lower highs.
A Pivot Low is established when a specific low price is preceded and followed by a defined number of higher lows.
These points act as the empirical anchors for drawing support and resistance lines.
● Gap Categorization Engine
The script continuously scans for bullish and bearish price gaps (defined as a strict price void between the current low/high and the high/low of two bars prior, combined with directional candle confirmation). Once a gap exceeds the minimum size threshold, it is classified using the following methodology:
Breakaway Gaps (BW): Identified if the gap's occurrence coincides with the breaking of the most recently established structural pivot level. This signifies a forceful escape from a prior consolidation or trend phase.
Exhaustion Gaps (EX): Identified if the gap occurs after a prolonged trend duration (trend maturity) and is accompanied by a significant volume spike. This logic assumes that late-stage acceleration coupled with extreme volume often represents climatic buying or selling.
Runaway Gaps (RW): Any valid gap that does not meet the strict criteria for Breakaway or Exhaustion is classified as Runaway, representing standard trend continuation.
● Non-Repainting Multi-Timeframe Integration
To map higher timeframe (HTF) levels onto the lower timeframe (LTF) chart safely, the script employs a strict index-offset methodology. When fetching HTF pivot data, the script references the previous bar's calculated state while utilizing a lookahead parameter. This architectural design explicitly prevents future data leakage (lookahead bias), ensuring that historical backtesting and real-time execution behave identically.
● Breakout and Time-Decay Logic
Support and resistance lines are evaluated for breakouts based on closing prices. A breakout is only considered valid if the closing price decisively crosses the level and, if volume confirmation is enabled, the breakout bar's volume exceeds the defined moving average threshold. To maintain a clean visual workspace, levels can be subjected to a time-decay function, removing them from the chart after a user-defined number of bars.
🎨 Visual Guide
● Support and Resistance Lines
Green Lines: Represent active support levels derived from current timeframe pivot lows.
Red Lines: Represent active resistance levels derived from current timeframe pivot highs.
Thick Light Blue Lines: Highlight major support levels from the higher timeframe.
Thick Orange Lines: Highlight major resistance levels from the higher timeframe.
● Market Structure Labels
Red "HH" / "LH" Labels: Denote Higher Highs or Lower Highs at resistance pivots.
Blue/Green "LL" / "HL" Labels: Denote Lower Lows or Higher Lows at support pivots.
Purple "EH" / "EL" Labels: Indicate Equal Highs or Equal Lows.
● Gap Visualization Boxes
Blue Boxes: Highlight Breakaway Gaps (BW).
Orange Boxes: Highlight Runaway Gaps (RW).
Red Boxes: Highlight Exhaustion Gaps (EX).
Dotted Mid-Lines: Each gap box contains a dotted line calculating the exact mathematical midpoint of the gap, often acting as a highly reactive micro-level.
● Breakout Markers
Green Upward Triangles (▲): Plotted below the price to indicate a confirmed breakout of a resistance level. The number indicates how many distinct resistance levels were broken on that bar.
Red Downward Triangles (▼): Plotted above the price to indicate a confirmed breakdown of a support level.
Cyan/Orange Triangles: Represent breakouts of higher timeframe (HTF) levels.
📖 How to Use
● Interpreting Gap Signals
Breakaway Gaps: When a blue Breakaway gap forms, it suggests the initiation of a new directional phase. Traders typically monitor the borders of this gap to act as strong support or resistance upon any subsequent retests.
Runaway Gaps: The appearance of an orange Runaway gap confirms underlying trend strength. The midpoint of these gaps (the dotted line) is often used to gauge short-term trend health.
Exhaustion Gaps: A red Exhaustion gap serves as a cautionary signal. Because it indicates mature trend fatigue coupled with high volume, it suggests that the current directional momentum may be nearing a terminal phase or sharp retracement.
● Trading Support and Resistance Breakouts
Structural Mapping: Use the dynamically drawn S/R lines to identify the boundaries of the current market range.
Volume Confirmation: When the indicator plots a breakout triangle, ensure that it aligns with your broader directional bias. If the volume confirmation setting is active, the triangle inherently signifies that the breakout possessed above-average participation, increasing the mathematical probability of continuation.
Multi-Timeframe Confluence: Pay special attention when current timeframe price action interacts with the thicker HTF lines. A breakout that fractures both a LTF and HTF resistance level simultaneously carries significantly more structural weight.
⚙️ Inputs and Settings
● Swing Logic
Left Bars / Right Bars: Determines the number of bars required on either side of a candle to confirm a structural pivot. Higher values yield longer-term, more significant levels.
Max Stored Levels: Controls how many historical S/R lines remain active on the chart to prevent visual clutter.
Max Break Labels: Limits the number of historical breakout triangle markers displayed.
● Usability and Time Decay
Multi-Timeframe: Allows overriding the base timeframe for calculations.
Enable Time Decay: When activated, S/R levels that remain untested or unbroken will automatically expire and be removed from the chart.
Decay Period (Bars): The specific threshold of bars after which an untested level is deleted.
● Higher Timeframe (HTF) Levels
Enable HTF Levels: Toggles the calculation and plotting of macro S/R lines.
HTF Timeframe: The target timeframe for macro structural analysis (e.g., Daily, Weekly).
Hide Current TF When HTF Active: A visual filter to isolate only macro levels when desired.
● Algorithmic Filters and Analysis
Volume Confirmation: When true, breakouts are only validated if the bar's volume exceeds a moving average.
Min Gap Size (Points): Establishes a raw point threshold that a price void must exceed to be classified as a gap, filtering out negligible price skips.
Volume Spike Multiplier: The factor by which current volume must exceed the average to trigger Exhaustion gap logic.
Trend Maturity (Bars): The minimum number of bars a trend must have persisted from the last major pivot to allow for an Exhaustion gap classification.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory and Liquidity Voids
The gap categorization matrix within this script is deeply rooted in Auction Market Theory (AMT). In AMT, price discovery is a continuous auction searching for liquidity. A gap represents a structural liquidity void—a pricing zone where no double-sided auction occurred due to extreme urgency from either buyers or sellers. The script's identification of Breakaway gaps mathematically isolates moments where this urgency successfully overcomes historical supply or demand nodes (the pivots). The dotted midpoint lines inside the gap boxes serve as theoretical "Fair Value" approximations for the void, representing the mean reversion target if the market attempts to repair the inefficient auction.
● Volume Spread Analysis (VSA) Integration
The Exhaustion gap classification heavily relies on principles derived from Volume Spread Analysis. In VSA, volume represents the effort of market participants, while price spread represents the result. The script mathematically quantifies an anomaly: when an extended trend (measured by the Trend Maturity parameter) produces a sudden gap on extreme volume (measured by the Volume Spike Multiplier), it implies climactic transfer of inventory from strong hands to weak hands. The algorithmic detection of these specific variables provides a quantifiable method for identifying trend exhaustion without relying on lagging, bounded oscillators.
● Fractal Market Geometry
By rendering both LTF and HTF structural pivots within the same visual plane, the script operationalizes the concept of fractal market geometry. Financial time series exhibit self-similarity across different scales. A pivot high on a 15-minute chart is formed by the same behavioral mechanics as a pivot high on a Daily chart, but they carry vastly different liquidity weights. The script's strict index-offset MTF architecture ensures that the geometric relationship between these distinct fractal layers is evaluated with absolute temporal accuracy, providing a mathematically sound representation of macro supply and demand overlaying micro price action.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Pivot Breakout Retest Signals [algo_aakash]Overview
Pivot Breakout Retest Signals is a price action indicator that helps traders identify potential bullish and bearish retest opportunities around Classic Pivot Point levels.
The indicator calculates pivot levels from a selected higher timeframe (Daily, Weekly, or Monthly) and monitors price for breakout events followed by retests of those levels. When a valid retest is confirmed within the specified window, the script displays a Bullish or Bearish signal on the chart.
Features
• Classic Pivot Point calculation
• Daily, Weekly, or Monthly pivot timeframe selection
• Automatic breakout detection
• Retest confirmation logic
• Bullish and Bearish signal visualization
• Configurable retest window
• Alert support for signal events
How It Works
Bullish Conditions
1. Price breaks above a Pivot, R1, or R2 level.
2. The breakout is recorded.
3. Price retests the broken level within the user-defined retest window.
4. If price closes back above the level after the retest, a Bullish signal is generated.
Bearish Conditions
1. Price breaks below a Pivot, S1, or S2 level.
2. The breakdown is recorded.
3. Price retests the broken level within the user-defined retest window.
4. If price closes back below the level after the retest, a Bearish signal is generated.
Inputs
Pivot Timeframe
Select the timeframe used to calculate pivot levels:
• Daily
• Weekly
• Monthly
Retest Window
Determines how many candles are allowed between the breakout and the retest confirmation.
Alerts
The script includes built-in alert conditions:
• Bullish Alert
• Bearish Alert
Alerts can be used with PulseWire's notification system or connected to external workflows.
Notes
• Pivot levels are calculated using completed higher-timeframe data.
• Signals are generated only after both breakout and retest conditions are satisfied.
• The indicator is intended as an analytical tool and may be combined with other forms of technical analysis.
Limitations
• Signals can occur during ranging or volatile market conditions.
• Not every breakout or retest will lead to sustained price movement.
• Additional confirmation methods may be useful depending on the market and trading style. Indicator
Structure & Trend ContextStructure & Trend Context is a clean overlay that visualises market structure and trend direction without cluttering the chart. It is built as a context tool to support your own analysis, not as a signal system.
What it shows
- Trend filter: a fast and a slow EMA define the prevailing direction. The slow EMA is colour-coded by bias (up / down / neutral).
- Volatility band: an ATR band around the fast EMA gives a sense of normal price travel and dynamic over-/under-extension.
- Swing structure: the most recent confirmed swing high and swing low are tracked and drawn as reference levels.
- Structure breaks (BoS): a marker appears only when price closes beyond the prior swing by an ATR buffer while in trend. Each level is locked after it breaks, so markers stay rare and meaningful rather than firing on every minor poke.
- Context panel: a compact top-right table showing current trend bias, last higher high and last lower low.
How to use it
Read the chart first. Use the trend filter and band for context, the swing levels for reference, and treat a structure break as one piece of confluence, not a standalone trigger. Raise "Swing sensitivity" on higher timeframes or noisy assets to keep only the larger structure.
Inputs
Every layer (band, swing levels, structure markers, raw pivots, panel, bar tint) has its own toggle, and the EMA, ATR and pivot lengths are fully adjustable.
Notes
This indicator is a visualisation aid for discretionary analysis. It does not predict price, does not generate buy or sell recommendations, and is not financial advice. Markers are confirmed on bar close and do not repaint. Open-source — adapt it to your own workflow. Indicator
Indicator
ORB WindowsA clean, fully configurable Opening Range Breakout indicator with up to three simultaneous time windows. This script lets you define your own windows. Set them to whatever your session or strategy calls for.
Three configurable windows
Each window tracks its own high and low independently. Window 1 defaults to 5 minutes, Window 2 to 15 minutes, Window 3 to 60 minutes (hidden by default). Set any window to whatever range you want. Lines are visually differentiated: W1 is solid, W2 is dashed, W3 is dotted.
Break and confirm markers
Two signals per level, per window:
Small triangle — price ticked through the level (break)
Larger triangle — candle closed through the level (confirmation)
Filtering on close confirmation reduces noise from wicks and fakeouts.
Range label
When each window locks in, a label shows the high, low, and range size in both points and percentage. Useful for quickly assessing whether the ORB is tight or wide before deciding how to trade the break.
Formation window highlight
A subtle background color marks the W1 formation period so you can see exactly which candles built the range.
12 alert conditions
Four per window: break above, break below, close above, close below. Wire them up however your workflow calls for.
Settings
ORB Windows: set the duration (in minutes) for each of the three windows
Visibility: toggle each window, markers, range label, and formation highlight independently
Colors: fully customizable per window
Designed for intraday use. Works on any liquid instrument with a defined regular session. Indicator
Advanced Support & Resistance - Volume Zones**Advanced Support & Resistance - Volume Zones**
This indicator identifies potential support and resistance areas by detecting high-volume pivot points and converting them into visual price zones. Zones are created when unusual volume appears near local highs or lows, helping highlight areas where buying or selling pressure may have previously been significant.
The script includes automatic zone tuning that adjusts volume sensitivity, merge range, zone age, and visual zone thickness based on current market conditions and chart timeframe. This helps keep the zones proportional across very small timeframes, such as 1-second charts, as well as larger timeframes, including daily charts.
Key features include:
* High-volume support and resistance zone detection
* Automatic zone-setting adjustment based on market activity
* Automatic zone-appearance scaling by chart timeframe
* Optional volume-based zone widths
* Zone role reversal when price breaks through support or resistance
* Optional price-action swing lines for important pivot highs and lows that do not already have nearby volume zones
* Current bar volume status table showing volume, average volume, relative volume, and volume condition
* Customizable zone colors, opacity, borders, label size, and swing-line appearance
This script is designed to provide a cleaner view of meaningful support and resistance areas by combining volume activity with price structure. It can be useful for identifying possible reaction zones, breakout areas, retest levels, and areas of market interest.
As always, this indicator is intended as a visual analysis tool and should be used alongside your own trading plan, risk management, and confirmation methods.
Refinement assistance: Blue Finch
Indicator
Bollinger Band [scoopup]Overview
A Bollinger Bands–based indicator that shows trend direction (up/down) through the basis line color, displays band width (volatility) as a percentage, and marks the most recent meaningful lows (demand zones) on the weekly and daily timeframes as boxes. It lets you view statistical volatility and the real low zones where buying previously stepped in — all on a single chart.
Default settings are Length 21 and StdDev 1.618, based on the Fibonacci number (21) and the golden ratio (1.618).
Components
1. Bollinger Bands (Upper / Basis / Lower)
Defaults: Length 21, StdDev 1.618
Upper band, basis (middle), and lower band. The bands widen and narrow with volatility.
2. Basis Line Trend Color (Daily-based)
The color of the middle basis line indicates trend direction.
Logic: over a set lookback, it compares the cumulative size of the "close-to-lower" area (red) versus the "upper-to-close" area (green).
Red area dominant → uptrend → basis line GREEN
Green area dominant → downtrend → basis line RED
The longer the close stays near the lower band (larger red area), the more it is read as base-building before a move higher.
This color is always calculated from Daily data, regardless of the chart timeframe. Whether you view it on the 15m, 1h, or 4h chart, the daily trend color stays consistent.
3. Fill
Upper band ↔ close: semi-transparent green
Close ↔ lower band: semi-transparent red
Lets you quickly read where the close sits within the bands.
4. Band Width (%)
Formula: (Upper − Lower) / Basis × 100
Displays the current band width in a corner table as Band Width: X.XX%.
Lower = volatility contraction (squeeze) → often precedes a large move; higher = volatility expansion.
The Data Window also shows band width % and band width (price difference), including on historical bars.
5. Recent Lows
Weekly recent low = yellow box / Daily recent low = red box
Shows only the most recent pivot (swing) low that sits below the current close. (Lows above the close are skipped; if the latest low is above the close, the prior low is used instead.)
Box height spans the low ↔ the close at that point, and extends to the right to show a still-valid support/demand zone.
How to Read It
Basis green + close near the lower band → watch for a potential bounce after base-building.
Basis red + close near the upper band → watch for overextension/pullback risk.
Band Width % contracting (squeeze) → watch for an upcoming volatility expansion.
Recent low boxes (yellow/red) act as first support candidates on a pullback. A close below the box signals support failure.
Key Settings
Bollinger Bands: Source, Length (default 21), StdDev (default 1.618), Band Color / Width / Style
Basis Line: Show Basis, Basis Width, Ratio Length, Up / Down Color
Fill: Show Fill, Upper / Lower Fill Transparency
Band Width: Show Band Width %, Table Position, Text Size
Recent Lows: weekly/daily toggles, Pivot Length, Box Color
Tips
This is a supporting tool for reading trend direction + volatility + support zones together, not a standalone trade signal.
Reliability increases when the daily trend color and a recent low box line up in the same area.
Adjust StdDev and Ratio Length to fit each instrument's volatility.
Disclaimer
This indicator is for reference only and does not guarantee trading profits. All trading decisions and responsibility rest solely with the user. Indicator
Indicator
Indicator
Price Density Clouds [EXCAVO]Continuous Kernel-Density Map of Where Price Has Actually Traded
The Price Density Clouds builds a smooth, continuous probability density of
price over a lookback window and paints it as gradient clouds directly behind
the candles. Dense, saturated clouds mark value zones - the equilibrium levels
where the market has spent the most time and where price tends to stall and
revert. Thin, transparent gaps mark inefficiency zones - levels price travels
through quickly. A dashed POC line marks the single highest-probability price,
and the Value Area High / Low bracket the core of the distribution.
This is not a bin-based volume profile. Instead of chopping price into discrete
buckets, KDE sums a smooth gaussian kernel around every price point, producing a
continuous density curve with no bin-edge artefacts. The bandwidth is set
automatically by Silverman's rule, so the smoothing adapts to the instrument's
own volatility.
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▸ HOW TO USE
Step 1 → Add the indicator. Gradient clouds appear behind the candles
over the lookback window, brightest at the highest-probability
levels and fading out toward thin zones.
Step 2 → Read the clouds. Saturated bands = value / equilibrium where
price tends to stall and mean-revert. Faint gaps = inefficiency
where price moves fast - natural travel targets.
Step 3 → Use the POC. The dashed POC line is the single most-traded
level - a robust magnet and support / resistance anchor. Price
far from POC has a statistical pull back toward it.
Step 4 → Use the Value Area. The dotted Value Area High / Low bracket
the core of the distribution (default 70%). Acceptance inside the
area is balance; rejection outside it is imbalance worth trading.
Step 5 → Check the side profile. The gradient density profile on the
right of the last bar is the same density rotated 90 degrees - a
quick read of the full distribution shape at a glance.
Step 6 → Combine with structure. Clouds are context, not direction.
They pair well with trend, sweep, and breakout tools - a breakout
into a thin zone tends to run; a breakout into a dense zone tends
to stall.
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▸ HOW IT CALCULATES
◆ Gaussian Kernel Density
Every close in the lookback window contributes a gaussian bell curve centred at
its own price. The curves are summed across the price range to produce a single
continuous density function: density(x) = sum over j of exp(-0.5 x ((x - price_j)
/ h)^2). Levels where many bars cluster get tall, overlapping kernels and a high
density; isolated levels get a low density.
◆ Silverman Bandwidth
The kernel width h controls smoothness. It is set automatically by Silverman's
rule of thumb: h = 1.06 x sigma x n^(-1/5), where sigma is the stdev of the
lookback prices and n is the sample size. The Bandwidth Multiplier input scales
this for sharper or smoother clouds. Auto-bandwidth means the same settings
adapt across instruments and timeframes.
◆ Normalisation and POC
The density is evaluated at Resolution levels between the lookback high and low,
then normalised so the peak equals 1.0. That peak level is the POC (Point of
Control) - the single highest-probability price. Cloud opacity and colour are
driven by each level's normalised density.
◆ Value Area
Starting at the POC, the algorithm expands outward, each step absorbing the
denser of the two neighbouring levels, until the enclosed density reaches the
Value Area % of the total (default 70). The price extent reached becomes the
Value Area High and Low.
◆ Gradient Rendering
Each density band of the cloud is drawn as a horizontal box tinted by a
two-colour gradient: the Low Density Color at thin levels through to the High
Density Color at the POC, with opacity ramping in parallel. Adjacent bands tile
continuously, so the cloud reads as a smooth heat-map rather than discrete
blocks. The same gradient drives the right-side density profile, whose width
per level scales with density - at the default resolution the edge reads as a
near-smooth wave while keeping the per-level gradient colour.
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▸ WHAT MAKES IT DIFFERENT
◆ Continuous Density, Not Bins
Standard volume / price profiles split price into discrete bins, so the result
depends heavily on bin size and shows hard edges. KDE produces a smooth
continuous curve - no bin-edge artefacts, no arbitrary bucket count, just the
true shape of where price has traded.
◆ Auto-Adaptive Bandwidth
Silverman's rule sizes the smoothing from the instrument's own volatility and
sample size. The clouds stay meaningful on BTC, EURUSD, gold or an index with
the same default settings.
◆ Value Structure In One View
POC, Value Area High / Low and the full density shape are all on the chart at
once, with a matching side profile - the complete market-profile read without a
separate pane or a session reset.
◆ Premium Gradient Visual
A smooth two-colour density gradient behind the candles with parallel opacity
ramp, a clean dashed POC, dotted value-area lines, and a right-side profile
histogram. The clouds sit behind price as context and never clutter the read.
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▸ DASHBOARD
Real-time panel (top right) with the current value read:
POC - price of the highest-density level
Value Area High - upper bound of the value area
Value Area Low - lower bound of the value area
Price Zone - whether price is Above Value, In Value, or Below Value
Lookback - bars used to build the distribution
Legend table (bottom left) explains every colour. Both panels toggle in the
Dashboard settings.
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▸ SETTINGS
Engine
Lookback Period - 200 (bars used to build the price distribution)
Resolution - 120 (number of horizontal density bands; higher = smoother gradient and profile edge, up to 200)
Bandwidth Multiplier - 1.0 (smoothness; 1.0 = Silverman auto, higher = broader clouds)
Value Area % - 70 (percentage of total density that defines the value area)
Visualization
Low Density Color - blue (thin / inefficiency end of the gradient)
High Density Color - orange (dense / value end of the gradient)
POC Line Color - near-white (high contrast against the dense orange cloud the POC sits in)
Min Cloud Opacity - 8 (opacity of the lowest-density band; keeps empty zones faint)
Max Cloud Opacity - 65 (opacity of the POC band)
Show POC Line - ON
Show Value Area - ON (dotted Value Area High / Low lines)
Value Area Highlight - ON (boosts band opacity inside the value area so the 70% core pops)
Show Side Profile - ON
Profile Outline - ON (thin bright line tracing the right edge of the profile for a crisp silhouette)
Cloud Forward Extend - 10 (bars the clouds extend right of the last bar)
Dashboard
Show Dashboard - ON
Dashboard Position - Top Right
Show Legend - ON
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Best regards,
EXCAVO
Disclaimer
Trading involves significant risk. This indicator is a technical analysis tool
and does not constitute financial advice, investment recommendations, or a
guarantee of future results. Past indicator behavior does not guarantee future
performance. Always use proper risk management and your own judgment.
Indicator
Confluence Zone Engine [CZE]# Confluence Zone Engine
A structural analysis indicator that identifies support and resistance zones by clustering Anchored VWAPs and Anchored Volume Profile levels across the chart timeframe and up to three higher timeframes. Each zone is rated 1 to 5 stars based on how many independent sources cluster at the level and how diverse those sources are.
This is a structural analysis tool. It marks where multiple independent technical references agree at a price. It does not place trades or suggest entries, exits, targets, stops, or position sizes.
---
## What this script does
The engine runs a six-stage pipeline on every confirmed bar:
**Stage 1 — Pivot detection.** Detects pivot highs and pivot lows at Fibonacci-spaced lengths (3, 5, 8, 13, 21, 34, 55, 89). Each pivot becomes an "anchor" point. Default enabled tiers are 8, 21, and 34 — selected to give fast / medium / slow coverage without redundancy. The full Fibonacci set is configurable.
**Stage 2 — Per-anchor calculations.** For every anchor, the engine maintains:
- An Anchored VWAP (volume-weighted average price since the anchor bar)
- An Anchored Volume Profile, which produces a Point of Control (POC = most-traded price since anchor) and a Value Area (VAH and VAL = upper and lower edges of the 70% volume zone)
So a single pivot generates up to 4 contributor levels: AVWAP, POC, VAH, VAL.
**Stage 3 — Higher-timeframe replication.** The same pipeline (stages 1 and 2) re-runs on up to three configurable higher timeframes via non-repainting `request.security` calls. This produces a multi-timeframe view of structural anchors — pivots and AVWAPs from a 1H chart inform what the 5m engine treats as a higher-timeframe reference.
**Stage 4 — Cluster building.** All contributor levels from all enabled timeframes are collected. The cluster builder walks them in price order, merging any that fall within a configurable tolerance (default 0.08% of current price; preset-adjusted per asset class). A cluster with at least the minimum-count threshold becomes a candidate zone.
**Stage 5 — Star rating.** Each zone is rated 1 to 5 stars based on:
- Total contributor count
- Source-type diversity (how many of the 4 source categories — PH-AVWAPs, PL-AVWAPs, POCs, VAH/VAL — are present)
- HTF agreement (whether contributors from multiple timeframes align)
A "Premium" tier flag fires when top stars combine with HTF agreement.
**Stage 6 — State machine.** Each zone is tracked through a lifecycle:
- **Active** (forming, amber): the zone is currently accumulating contributors
- **Pending** (blue): contributor activity has paused; waiting for price to resolve the level
- **Resolved Support** (green), **Resistance** (red), or **Chop** (gray): determined by whether price moved decisively up, decisively down, or stayed range-bound after the zone activated
- **Tested** (dashed border): price entered the resolved zone but has not closed past the defending edge
- **Broken** (dashed orange + "Broken" label): price has closed past the defending edge
- **Flipped**: if a Broken state confirms over multiple closes past a threshold, the zone repaints to the opposite role (broken Resistance becomes Support, broken Support becomes Resistance)
---
## Why this indicator is original (not a simple mashup)
This is not "AVWAP indicator + Volume Profile indicator + multi-timeframe wrapper." Three design choices distinguish it from existing public indicators:
**1. Anchored at every Fibonacci pivot, not at a single user-selected point.** Standard AVWAP indicators require the user to manually click an anchor point. Standard Volume Profile indicators use either a fixed session or a single anchor. This engine automatically detects pivots at multiple Fibonacci lengths and runs an AVWAP + Volume Profile from each one. The number of active anchors at any time is typically 6 to 20, generating 24 to 80 contributor levels — far more than a manually-anchored tool can produce.
**2. Cross-timeframe clustering, not separate per-timeframe overlays.** The engine does not draw 5 separate AVWAPs from a 1H chart, plus 5 from a 4H, plus 5 from a daily. Instead, levels from all timeframes are collected into one pool and clustered in price space. A 1H AVWAP at 23,720 and a daily POC at 23,718 merge into a single zone marked as "two contributors from two timeframes." This produces structural information neither timeframe shows alone.
**3. Compositional bias from the contributor mix.** The cluster builder records *which type* of contributor formed each zone — pivot-high AVWAPs (trapped sellers' breakevens), pivot-low AVWAPs (trapped buyers' breakevens), POCs (acceptance), VAH or VAL (fair-value edges). The directional implication of each type is summed into a "compositional bias" score. A zone built mostly from PL-AVWAPs and VAL contributions leans support; one built from PH-AVWAPs and VAH contributions leans resistance. This is an analytical lens not present in standard S/R indicators, which generally treat all levels as direction-agnostic.
---
## Mashup justification — how the components work together
The four classes of technical analysis used (pivots, AVWAP, Volume Profile, multi-timeframe analysis) are not chosen arbitrarily. Each contributes a dimension the others do not, and the value comes from how they interact:
**Pivots provide the anchors.** Without pivots, AVWAP needs a manual anchor and Volume Profile needs an arbitrary session. Pivots at multiple Fibonacci lengths give the engine *automatic structural anchors* spanning timescales — short-term swings, intraday swings, session-level swings. The Fibonacci spacing (3, 5, 8, 13, 21, 34, 55, 89) ensures the anchors are non-redundant: each tier has a different bar requirement and catches different swings.
**AVWAP measures participant breakeven from each anchor.** This is the "where might trapped participants defend" dimension. An AVWAP from a pivot high is the volume-weighted breakeven for everyone who entered after that high (mostly net-short positions). An AVWAP from a pivot low is the breakeven for everyone who entered after that low (mostly net-long). When price returns to one of these AVWAPs, structurally those participants are at breakeven and have incentive to act.
**Volume Profile measures acceptance from each anchor.** This is the "what price has been most-accepted by volume" dimension. POC is the most-traded price; VAH/VAL are the edges of the 70%-volume range. AVWAP and POC measure different things — average price vs most-accepted price — and frequently disagree. When they *do* agree at a level, that's two independent signals saying "this price matters."
**Multi-timeframe replication tests for structural agreement.** A zone that exists only on the chart timeframe is one-timeframe noise. A zone where chart-TF contributors *agree with* higher-TF contributors at the same price is structural — the same level shows up no matter which timescale you measure from. The engine treats HTF agreement as a primary input to the star rating: HTF-aligned zones can earn an extra star (capped to prevent inflation).
**The clustering is where the value emerges.** Individually, none of these components produce reliable levels. AVWAP gets broken constantly. POC migrates. Pivot levels get violated. But when the engine sees that the 21-pivot AVWAP, the 34-pivot POC, the 8-pivot VAL, and a 1H AVWAP all land within 0.08% of each other at the same price, that's a confluence of independent references measuring different things — and that *coincidence* is what produces structural significance. The star rating quantifies how much agreement is present.
This is the mashup's purpose: not to combine indicators for their own sake, but to use convergence as a filter that turns individually noisy components into a rated structural signal.
---
## How to use the indicator
**Step 1: Apply to any chart timeframe.** All settings have sensible defaults. The asset-class preset (NSE Index Futures, NSE Stock, US Future, US ETF, US Stock, Commodity, Crypto, or Custom) auto-adjusts cluster tolerance and pivot defaults. Auto-selected higher timeframes scale with the chart — a 5m chart defaults to 15m/60m/240m HTFs, while a daily chart defaults to weekly/monthly HTFs.
**Step 2: Read the status panel (bottom-right).** This is the actionable summary:
- "Sup" row: nearest resolved Support below current price, with point distance
- "Res" row: nearest resolved Resistance above current price, with point distance
- "Top zone": the highest-rated zone overall
- "Data": indicator health (OK / Degraded / Critical) — if the underlying volume data is sparse, ratings are capped
**Step 3: Scan the chart for "Broken" labels.** Any zone in dashed orange with a "Broken" label is currently being violated. Watch for either recovery (border returns solid) or polarity flip confirmation (zone repaints to opposite role).
**Step 4: Find the active amber zone.** This is the current forming confluence. Look at the triangle shape: ▲ means the composition leans support, ▼ means it leans resistance, ◆ means neutral. The number next to the triangle is the star rating. A premium "★" prefix means HTF agreement is present.
**Step 5: Use the Major S/R lines as forward references.** Bold horizontal lines mark the top 2 strongest support levels below current price and top 2 strongest resistance levels above. Labels show price, stars, and distance.
**Step 6: Use the Range band as context.** The translucent aqua band marks the recent trading envelope (default last 50 bars). A narrow band means consolidation; a wide band means trending.
**Step 7: Hover any element for the full breakdown.** Every box, triangle, and line has a tooltip showing total contributors, type counts, HTF alignment, state, and history.
---
## How NOT to use the indicator
- **Do not treat the bias arrow as a trade signal.** It is a compositional description of contributors, not a directional forecast. A zone with a ▲ bias can still resolve as resistance.
- **Do not treat a "Broken" label as a trade trigger.** It tells you a known level is failing — not that you should enter a position in either direction.
- **Do not assume higher stars mean higher profit probability.** Stars measure the diversity and density of contributors, not historical performance or expected return.
- **Do not rely on it for low-volume instruments.** If the data-health badge shows "Degraded" or "Critical," the engine has capped ratings and may suppress zones entirely. This is a feature; the indicator is most accurate on liquid, volume-rich instruments (index futures, large-cap stocks, major crypto).
---
## How to read the star rating
Stars are a descriptive summary of confluence quality. They are not a probability of profit.
- 1 to 2 stars: minimum cluster; one or two source types. Background context.
- 3 stars: at least 5 contributors with 2 or more source types. Recurring intraday levels.
- 4 stars: at least 7 contributors with 3 or more source types, OR 3-star with HTF agreement.
- 5 stars: at least 10 contributors with all 4 source types present. Often boosted by HTF alignment.
By default, only 4-star and 5-star zones get triangle markers and qualify for Top-N or Major S/R lines. This is adjustable.
---
## Visual primitives
- **Confluence zones** — colored boxes marking each cluster. Boxes recolor as zones resolve. Border style indicates compromised state.
- **Triangle markers** — ▲ ▼ ◆ at each formation bar. Shape encodes direction. Color encodes lifecycle state.
- **Top-N S/R lines** — top 4 resolved zones by strength and recency project forward.
- **HTF confluence bands** — semi-transparent bands per higher timeframe (cyan, purple, orange).
- **Major S/R lines** — bold lines for top 2 supports below and top 2 resistances above current price.
- **Range band** — translucent band marking recent trading range with HI / LO labels.
- **Current price line** — thin dotted line at current price.
- **Status panel** — bottom-right summary.
---
## Technical notes
- Pine Script v6
- Non-repainting: all `request.security` calls use `barmerge.lookahead_off`
- Asset-class presets adjust cluster tolerance and pivot defaults
- Built-in data-integrity layer caps ratings when volume data is sparse or stale
- Seven alert conditions: new zone formed, high-quality (4 to 5 star) zone, HTF aligned, price entered support, price entered resistance, data health degraded, polarity flip
---
## Important risk disclosure
This indicator is provided for educational and informational purposes only and is not financial advice. Trading and investing involve substantial risk of loss, including the possible loss of all invested capital. The zones, ratings, bias shapes, and lines are descriptive summaries of structural confluence — they are not predictions of future price movement, indications of profitability, win rate, or expected return.
No backtested or hypothetical performance is claimed or implied. Past zones identified by the indicator are not indicative of future results.
You are solely responsible for any decisions you make. Consult a qualified, licensed financial advisor before trading. Past performance does not guarantee future results.
Indicator
Delta Void Profile [BigBeluga]Delta Void Profile is an advanced order flow and market structure framework engineered to reveal the "negative space" in price action. By contrasting traditional volume accumulation with a unique Inverse Liquidity Void map, this indicator identifies where the market is most anchored and where it is most fragile.
While standard profiles show where the crowd has transacted, the Delta Void Profile simultaneously highlights where the market *failed* to trade, marking the "liquidity vacuums" that often dictate explosive price movements.
🔵 THE DUAL-ENGINE FRAMEWORK
The Normal Profile (Right Side): This is your primary volume distribution. It visualizes the total relative volume transacted at each price bin within the lookback period, providing a clear view of high-interest zones.
The Inverse "Void" Profile (Left Side): This profile measures the "gap" between the maximum volume peak and the current bin. Longer bars on the left signify Volume Voids —areas where price moved too quickly for significant liquidity to build.
Intraday Delta Breakdown: Within the normal profile, the script calculates a granular Buy/Sell Delta . Each bin features a central divider and percentage labels, showing exactly which side of the market dominated that specific price node.
🔵 CORE ARCHITECTURE
Liquidity Vacuum Identification: The indicator automatically highlights the "Deepest Gap"—the price area with the least historical transacted volume relative to the peak. These zones act as magnets or "slip-zones" where price is likely to expand rapidly without resistance.
HVN & Gap Pivot Detection: Depending on your strategy, the tool automatically plots dashed structural lines at either High Volume Nodes (HVN) —representing fair value and heavy support/resistance—or at Volume Gaps —representing liquidity pockets.
Dynamic Gradient Resolution: The profile uses a color-gradient system based on volume density. Brighter, more saturated bins represent institutional interest, while faded bins represent retail noise or transitional zones.
🔵 FEATURES
High-Definition Bins: Customizable vertical resolution (Bin Count) allows you to transition from a macro structural view to a high-definition "micro-scalping" look at order flow.
Delta Efficiency Labels: Real-time percentage labels on the right-hand profile give you an immediate breakdown of supply and demand percentages for every price level.
Void Strength Labels: The inverse profile calculates and prints the "Gap Percentage," explicitly labeling areas where liquidity is significantly missing.
UI Scaling: Fully adjustable global text and label sizes ensure the profile remains readable on any screen resolution or chart layout.
🔵 STRATEGIC APPLICATION
Trading the HVN (High Volume Nodes): Use HVN levels as anchors for your stop-loss or as high-probability entry points. These are prices where the market has historically agreed on "Value".
Exploiting the Voids: When price enters a high-percentage "Gap" zone on the left profile, expect increased volatility. Because there is no "friction" from historical orders, price often "teleports" through these voids until it reaches the next high-volume cluster.
Delta Confirmation: Use the Buy/Sell percentage labels to confirm breakouts. If price is breaking an HVN resistance and the delta shows high Buy dominance, the probability of a successful breakout increases significantly.
Mean Reversion Targets: Voids often act as targets for mean reversion. If price is overextended, look for the nearest "Volume Gap" pivot as a natural magnet for a relief rally or pullback.
Delta Void Profile transforms your chart into a map of institutional activity and structural weakness. By identifying the voids in the market, you can stop trading into the "heavy" areas and start targeting the "light" areas where the real price expansion occurs. Indicator
Volume-Weighted S/R Zones [WillyAlgoTrader]📊 Volume-Weighted S/R Zones is an overlay indicator that automatically detects support and resistance zones from price pivots, scores them by volume and price reaction, tracks breaks and retests, and instantly places a full risk-management plan on the chart with a stop-loss and three take-profits. No manual lines — everything is calculated and drawn automatically.
The core idea: not all levels are equal. A level where price reversed on heavy volume and ran far from it is dozens of times more valuable than a level formed on thin volume with no reaction. The indicator assigns each zone a Strength Score from 0 to 100 , combining volume at the pivot bar, price reaction strength, and touch count — and displays only the zones that actually work.
The indicator is completely free and open-source . Works on any instrument (crypto, forex, stocks, futures, indices) and any timeframe.
🧩 WHY THESE COMPONENTS WORK TOGETHER
A classic pivot indicator draws lines on every local high and low — the chart turns into a mess of dozens of levels, and it's impossible to tell which ones matter. Volume profiles show where heavy trading happened, but don't tie that to specific reversal levels. Pure Price Action gives the right zones, but requires manual markup.
This indicator solves all three problems with one integrated pipeline:
Pivot Detection → Volume Score + Reaction Score → ATR clustering of nearby pivots → Strength Score 0..100 → Age Decay → Break Detection (with filters) → Retest Detection → Zone-Aware SL/TP → Trade Statistics
Each step adds something the previous one cannot. Pivot Detection finds raw reversal points. Volume Score answers the question "was there heavy trading here". Reaction Score answers "did price bounce off the level". ATR clustering merges pivots into a single zone if they sit within N×ATR — giving zone width instead of a thin line. Age Decay gradually reduces the weight of old zones. Break/Retest turn zones into trade signals. Zone-Aware SL places the stop behind the broken zone instead of at an abstract ATR distance. Trade Stats show whether your settings actually work on your instrument.
Remove any component and the system breaks: pivots without scoring are noise, scoring without clustering produces dozens of thin lines, clustering without break/retest gives no signals, signals without zone-aware SL get stopped out on noise.
🔍 WHAT MAKES THIS INDICATOR ORIGINAL
1️⃣ Strength Score 0..100 — three-component zone quality measurement.
Each zone receives a strength score by the formula:
Score = VolScore + ReactionScore + 10 (base bonus), then clamp(0, 100)
Where:
— VolScore (0..40) : computed as min(40, volumeRatio × 20) , where volumeRatio = volume on the pivot bar / average volume over N bars (default 20). On instruments without volume (some forex pairs) a base value of 20 is assigned.
— ReactionScore (0..30) : measured as min(30, max_move / ATR × 10) , where max_move is the maximum price movement AWAY from the pivot in the first N bars after it (default 5). Computed against ATR at the pivot bar, not current ATR — this is the correct normalization.
When the same zone is touched again (a new pivot within ATR × MergeDistance radius, default 0.5), zones merge, the touch counter grows, and a bonus of min(20, √touches × 4) × 0.5 is added to the score. This means: 4 touches give +4, 9 touches +6, 16 touches +8. Logarithmic growth to avoid over-weighting.
Zones are divided into 4 tiers by score: ★ (weak, 0-30), ★★ (medium, 30-60), ★★★ (strong, 60-85), 🔥 (very strong, 85+) . The tier is shown directly on the zone label and affects box transparency — stronger zones are more visually prominent.
2️⃣ Age Decay — old zones lose strength gradually, not abruptly.
Each bar the zone score is reduced by ageDecayRate × 0.1 . By default (0.5) that's −0.05 per bar, so a zone loses about 25 points over 500 bars. This gives an honest forgetting mechanism: a level from last week matters, but not as much as a level from last hour. Can be disabled (set to 0) or made aggressive (1.0 = −0.10 per bar).
Additionally zones are removed by three conditions: age exceeds Max Zone Age (default 30 Days, measured independently of timeframe), score drops below MIN_VIABLE_SCORE = 5.0 , or zone is broken and more than 2×ReactionWindow bars have passed since the break (nobody will retest a stale broken zone).
3️⃣ Break Detection with a dual-volume filter (floor + cap).
The standard "break volume ≥ N×average" filter is easily bypassed by news spikes and gaps. Solution:
— Volume Floor : volume ≥ avg × VolMult (default 1.3) — filters thin-volume breakouts.
— Volume Cap (optional) : volume ≤ avg × VolCap (default 5.0) — filters abnormally large candles (opening gaps, news spikes). Especially important on stocks.
Additionally: Momentum Filter requires the break candle's range to be ≥ N×ATR (default 1.0). This filters "doji breaks" where the candle body barely crossed the level.
4️⃣ Retest Detection with reaction validation.
After a break, the indicator waits for a retest within a Min..Max bars window (default 2..30). A retest counts only if:
— Price touched the broken zone (low ≤ zoneTop for a bullish break)
— Price closed back in trend direction (close > zoneTop)
— Reaction from the zone ≥ ATR × ReactionMin (default 0.5×ATR)
Optionally enable Mitigation Filter , which skips a retest if the zone was already tested once — for traders who only want the first retest.
5️⃣ Zone-Aware Stop-Loss — stops behind real structure, not in thin air.
With Zone-Aware SL enabled, the stop is placed not just at ATR×Mult distance, but by formula:
— For long: SL = max(close − ATR×SLMult, zoneBot − ATR×0.2)
— For short: SL = min(close + ATR×SLMult, zoneTop + ATR×0.2)
The LESS aggressive stop is chosen: either the standard ATR stop, or "behind the zone with a 0.2×ATR buffer". Logic: if the zone is broken, it became resistance (for longs) or support (for shorts). If price returns back INTO the zone — the breakout idea is invalidated, you should exit. This gives a clear exit criterion and usually a wider but more meaningful stop.
6️⃣ Risk presets and three take-profits with partial scaling.
Four ready-made risk presets:
— Conservative : SL 2.5×ATR, TP 1R / 2R / 4R
— Balanced (default): SL 1.5×ATR, TP 1R / 2R / 3R
— Aggressive : SL 1.0×ATR, TP 1.5R / 2.5R / 4R
— Scalping : SL 0.8×ATR, TP 0.8R / 1.5R / 2R
— Custom : configure manually
The model assumes splitting the position into three equal parts: 1/3 on TP1, 1/3 on TP2, 1/3 on TP3. When a TP is touched, the line turns solid cyan with a ✓ checkmark.
7️⃣ Break-Even Trail — after TP1 the stop automatically moves to entry.
With Break-Even After TP1 enabled, on first touch of TP1 the SL is pulled to the entry price. Only TP2 and TP3 remain in play — but the risk is now zero. If price reverses, the trade closes at break-even instead of the original stop. Classic "protect profit, let winners run" model.
Implemented carefully: BE activates only after a confirmed TP1 touch (with no SL break on the same bar), and on the same bar TP1 + SL is always resolved as a stop (conservative model — real brokers don't guarantee limit fills before stops on the same wick).
8️⃣ Session Trade Statistics — tracking real effectiveness.
The dashboard tracks stats right on the chart:
— Trades : total closed trades
— W/L : wins vs losses
— Win Rate : % of wins. A WIN = TP1 reached . This is a deliberate classification: if the idea worked and TP1 closed — that's a success, even if TP2/TP3 didn't fill and exited at BE.
— BE saves : diagnostic counter. How many wins closed via BE-stop rather than TP3. High BE saves ratio → TP3 is set too far.
— Avg R : average R-multiple per trade. Calculated assuming partial scaling (1/3 at each TP).
Stats reset on any settings change (including a dedicated Reset Stats Counter input made specifically for manual resets).
9️⃣ Fully adaptive theme and WCAG-contrast colors.
All colors are calculated for both PulseWire themes (Dark/Light) with WCAG AA contrast verification (4.5:1 minimum). Label text on tinted backgrounds is chosen so it remains readable on both themes. Auto-detection by chart background color, or manual Dark/Light selection in settings.
🔟 TF-independent zone aging.
Max Zone Age can be set in Bars / Hours / Days . This means "30 Days" is always 30 calendar days regardless of timeframe (on 5m it's 8640 bars, on 1h — 720, on 1D — 30). Legacy indicators use bars only, which makes them break when you switch TFs — fixed here.
🧠 HOW IT WORKS — step-by-step calculation flow
Step 1 — Pivot Detection: on each bar, ta.pivothigh and ta.pivotlow are checked with equal left/right lookback (default 21). A pivot is confirmed only after N bars pass — so the indicator does NOT repaint already-drawn zones.
Step 2 — Volume Score: for a confirmed pivot, VolScore is computed against the volume on the pivot bar itself (not the current bar).
Step 3 — Reaction Score: the maximum price movement AWAY from the pivot is measured over the next N bars. ATR at the pivot bar is used for correct normalization.
Step 4 — Merge or Create: if there's already a same-type zone within ATR × MergeDistance — the pivot merges into it (zone widens, score updates, touch counter increments). Otherwise a new zone is created with boundaries ±0.15×ATR from the pivot price.
Step 5 — Age Decay & Cleanup: a reverse pass over the zone array applies decay, removes too-old, too-weak, and stale broken zones. If active zones exceed Max Active Zones — the weakest is removed.
Step 6 — Break Detection: on every confirmed bar, every unbroken zone is checked for a break. Volume Floor, Volume Cap, and Momentum Filter are applied if enabled.
Step 7 — Retest Detection: after a break, a retest with confirmed reaction is searched for in the Min..Max bars window.
Step 8 — Risk Management: on a signal (Break or Retest), with risk management enabled, a virtual position opens with SL and three TPs calculated.
Step 9 — Trade Lifecycle: on each bar, SL/TP touches are checked. TP1 → BE activates. SL or TP3 → position closes, stats update.
Step 10 — Visual & Alerts: zone boxes, SL/TP lines, BRK/RT markers, dashboard — all refresh on the last bar. Alerts fire on bar close.
📖 HOW TO USE — EVEN IF YOU'RE NEW
🎯 Quick start (3 minutes):
1. Add the indicator to your chart (any instrument, any timeframe).
2. Wait 30–50 bars — the indicator needs history for calculations. Zones will appear after that.
3. Look at the dashboard in the top-right corner — it shows current trend, active signal, and position state.
4. Don't change settings on day one. Work with defaults to understand how the indicator "breathes" on your instrument.
5. When you see a BRK or RT signal — look at the horizontal SL/TP1/TP2/TP3 lines. That's your trade plan.
👁️ Reading the chart:
— 🟢 Green box = support zone (Demand). Price approaches from below.
— 🔴 Red box = resistance zone (Supply). Price approaches from above.
— Box transparency = zone strength. The more opaque, the stronger.
— Icon on the label : ★ weak, ★★ medium, ★★★ strong, 🔥 very strong.
— ×N on label = number of zone touches.
— ✕ on label = zone already broken (you can hunt for a retest).
— BRK green below bar = resistance broken upward.
— BRK red above bar = support broken downward.
— RT = confirmed retest of broken level.
— Dotted blue line = entry price of the active trade.
— Solid red line = stop-loss. When it becomes dimmed + ENTRY label says "→ SL (BE)" — stop has moved to break-even.
— Dashed green lines = TP1, TP2, TP3. When they turn solid cyan with ✓ — that TP is reached.
📊 Dashboard (top-right by default):
— Trend : Bullish / Bearish / Neutral. Calculated as weighted difference of zone strength above vs below price.
— Signal : current status (BREAK ▲, RETEST ▼, Long Active, Wait, etc.).
— Score : strength of active signal or strongest zone.
— Zones : number of active zones on chart.
— TF : timeframe.
— SL / TP1 / TP2 / TP3 : risk management prices for the active trade.
— R:R : risk/reward ratio to TP1.
— Risk : % of price you risk to the stop.
— Trades / W/L / Win Rate / BE saves / Avg R : session stats.
🔧 Tuning — what to change and when:
— Too many zones, chart cluttered: raise Min Score to Display to 30–40. Raise Zone Merge Distance to 0.7–1.0.
— Too few zones: lower Pivot Lookback to 10–15. Lower Min Score to 0–10.
— Scalping 1m–5m: use Scalping preset, Pivot Lookback 5–8, ATR Length 10.
— Swing 1h–4h: Balanced preset, Pivot Lookback 21 (default), Max Zone Age 30 Days.
— Position trading 1D: Conservative preset, Pivot Lookback 10–15, Max Zone Age 90 Days.
— False breakouts eat your account: enable Volume Filter for Breaks + Momentum Filter.
— Trading stocks/indices with gaps: keep Volume Cap on (it's on by default).
— Want only the first retest: enable Mitigation Filter for Retests.
— Frequently closing at BE without profit: check BE saves in dashboard. If >50% of wins — TP3 is too far, shorten it.
💡 Trading ideas:
— Most reliable setup: retest of a strong zone (★★★ or 🔥) in the dashboard trend direction .
— Don't trade against the strongest zone (🔥) in your path — wait for it to break first.
— A zone touch without confirmed reaction is NOT a signal. The indicator filters this for you, but don't try to "guess" the bounce in advance.
— Use Trade Stats as feedback. If after 50 trades Win Rate < 40% and Avg R < 0 — change settings or timeframe.
⚙️ KEY SETTINGS
⚙️ Main Settings:
— Pivot Lookback (default 21): how many bars on each side must be lower/higher for a pivot
— Max Active Zones (default 8): max number of active zones on chart
— Zone Merge Distance (default 0.5×ATR): merge radius for nearby pivots
— Min Score to Display (default 15): hide zones weaker than this
📦 Zone Detection:
— ATR Length (default 14): ATR period for all calculations
— Volume Avg Lookback (default 20): average volume window
— Reaction Window (default 5): bars to measure reaction after a pivot
— Age Decay Rate (default 0.5): zone aging speed
— Max Zone Age (default 30 Days): maximum zone age
— Max Zone Age Unit (Bars / Hours / Days)
🔍 Filters (optional):
— Volume Filter for Breaks (default off): require volume ≥ N×average on break
— Volume Multiplier (default 1.3)
— Volume Cap (default on, 5.0): filter abnormal spikes
— Momentum Filter (default off): require candle range ≥ N×ATR
— Mitigation Filter (default off): first retest only
🎯 Signals:
— Show Break Signals / Show Retest Signals
— Min/Max Bars for Retest (default 2 / 30)
— Min Retest Reaction (default 0.5×ATR)
🛡️ Risk Management:
— Enable Risk Management (default on)
— Risk Preset (Conservative / Balanced / Aggressive / Scalping / Custom)
— SL ×ATR , TP1/TP2/TP3 ×Risk (for Custom)
— Zone-Aware SL (default on): place stop behind the zone
— Break-Even After TP1 (default on)
— Show SL/TP Lines / Labels
— Show % Distance on Labels
— Entry/SL/TP Line Style (Solid / Dashed / Dotted)
🎨 Visual:
— Theme (Auto / Dark / Light)
— Show Zones / Score Labels / Watermark
— Zone Forward Bars (default 5): how many bars to project zones forward
— SL/TP Label Font Size , Signal Marker Size
📊 Dashboard:
— Show Dashboard , Position
— Show Trade Stats (W/L, Win Rate, Avg R, BE saves)
— Reset Stats Counter : changing the value resets stats
🔔 ALERTS
— 🟢 BREAK UP — resistance broken upward, with price, score, SL, and three TPs
— 🔴 BREAK DOWN — support broken downward
— 🟢 RETEST LONG — confirmed long retest
— 🔴 RETEST SHORT — confirmed short retest
— 🎯 TP1 / TP2 / TP3 HIT — target reached (optional)
— 🛑 SL HIT / 🛡️ BE STOP-OUT — stop-loss hit or break-even close
— 🛡️ BREAK-EVEN ACTIVATED — stop moved to entry
All alerts available in two formats: plain text (readable for Telegram/Discord) and JSON (for webhook automation). Fire on bar close (alert.freq_once_per_bar_close) — no intra-bar flooding.
⚠️ IMPORTANT NOTES
— 🚫 No repainting. All signals use barstate.isconfirmed. Pivots are confirmed with equal left/right lookback — meaning the pivot point is always N bars in the past. This is delayed confirmation, not repainting of future values. Zones don't move after they appear.
— 📐 Zones are built from confirmed pivots. This means a zone appears on the chart N (Pivot Lookback) bars after the extreme formed. On the most recent 21 bars to the right there will be no zones — this is normal and correct.
— ⚖️ On instruments without volume (some forex pairs, some indices) VolScore defaults to 20 out of 40. Zone quality scoring is lower than on crypto/stocks with real volume.
— 🛠️ This is an analysis tool, not an automated bot. The indicator finds zones, marks signals, and proposes a structured trade plan — but entry decisions are YOURS. Past performance does not guarantee future results.
— 📊 Trade Stats counts virtual trades based on indicator signals, without slippage, commissions, or real liquidity. Use as a reference, not as a promise of results.
— 🌐 Universal compatibility: works on any ticker and timeframe. On tick/Renko charts, Hours/Days options for Max Zone Age automatically fall back to 500 bars.
— 💯 Completely free, open-source. Study the code, fork it, modify it for yourself.
If you found this indicator useful — leave a 🚀 and follow the author profile to see updates and new publications. Questions and feedback welcome in the comments. Indicator
SR LevelsSR Levels — Multi-Timeframe Support & Resistance with SR-Anchored VWAP
OVERVIEW
SR Levels Pro is an overlay indicator that plots higher-timeframe support and resistance levels on your chart with a clean, minimal layout. It focuses on widely used structural levels — previous day/week/month/year highs and lows — plus optional session levels (Asia, London, New York).
The goal is simple: show where price is relative to key reference levels, how far away each level is, and whether volume-weighted price action is accepting or rejecting a level after a touch.
This script is designed for traders who use HTF structure, session context, and level-based decision making on lower timeframes.
KEY FEATURES
• HTF Structure Levels
Previous Day/Week/Month/Year High and Low (PDH, PDL, PWH, PWL, PMH, PML, PYH, PYL)
Each timeframe uses a distinct color for quick identification
• Smart Level Display
Thin cross markers on a short right-side segment — not full-width lines
Optional proximity filter: hide levels until price is within range
Price labels show level name, exact price, and % distance from current price
Example: PDH 77766.4 +1.42%
• Session Levels (Optional, Off by Default)
Previous session high, low, and open for Asia, London, and New York
Customizable session times and timezone
• SR-Anchored VWAP
When price touches an active S/R level, VWAP begins tracking from that anchor
Green VWAP above anchor = potential acceptance
Red VWAP below anchor = potential rejection
Shaded fill between VWAP and anchor shows the acceptance/rejection gap
Auto-deactivates after max bars or when price moves too far from the level
• Optional Signals (Off by Default)
Triangles = bullish/bearish rejection at scored S/R levels
Diamonds = PDH/PDL volume breakouts
Confluence scoring, EMA trend filter, volume filter, and cooldown
Built-in alerts for rejections and breakouts
HOW TO USE
1. Add to any chart (stocks, crypto, forex, futures).
2. Defaults show PDH, PDL, PWH, PWL. Session levels and signals are off.
3. Read right-edge labels for price and % distance from each level.
4. Watch SR-Anchored VWAP when price approaches a level for acceptance vs rejection.
5. Enable signals only if you want entry markers. Adjust score and cooldown for your timeframe.
6. For forex/futures, set Session Timezone and session hours to match your market.
SETTINGS
Core: touch tolerance, visibility range, cross segment length, price labels
HTF: toggle day/week/month/year levels and colors
Session: Asia/London/NY H/L/O with custom times
VWAP: max bars, deactivate distance, bull/bear colors
Signals: master toggle, breakout diamonds, min score, cooldown, filters
ALERTS
• SR: Long Rejection
• SR: Short Rejection
• SR: Bull Breakout (above PDH)
• SR: Bear Breakout (below PDL)
RECOMMENDED TIMEFRAMES
Intraday (1m–15m): PDH/PDL + PWH/PWL, optional sessions
Swing (1H–4H): PWH/PWL + PMH/PML
Position (D/W): PMH/PML + PYH/PYL
DISCLAIMER
This indicator is for educational and informational purposes only. It is not financial advice and does not recommend buying or selling any instrument. Trading involves risk. Past results do not guarantee future performance. Always do your own research and use proper risk management.
NOTES
HTF levels use the prior completed period high/low. Signals are optional and disabled by default. SR-Anchored VWAP accumulates on confirmed bars only. Indicator
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MGI Walls | Rainbow MatrixGENERAL OVERVIEW
The MGI Walls is a multi-timeframe institutional liquidity radar that extracts and renders the price zones where institutional capital concentrates: Volume Profile blocks (Point of Control, Value Area High, Value Area Low), Anchored VWAPs, and Parabolic SAR levels. Instead of showing these levels for a single chart timeframe, the indicator scans up to five macro timeframes simultaneously and merges overlapping zones into a single intensified block whenever multiple timeframes agree on the same price area.
The main goal of this indicator is to give traders a clean, automatic read on where the structural barriers in the market are — without having to manually flip between timeframes, mark POCs by hand, or guess which level the next reaction will respect. Every line, box, and confluence zone you see on the chart was extracted from real volume distribution data, not drawn manually.
It plots up to four level types per timeframe (POC, VAH, VAL, VWAP, SAR), each weighted by the structural significance of its timeframe — a Weekly POC carries five times the gravitational weight of a 15-minute POC. The Wall Fusion Engine then detects when levels from different timeframes fall within a configurable percentage threshold and consolidates them into a single block. The Nearest Wall HUD panel and the institutional collision alerts complete the toolkit.
This indicator was developed for traders who already understand Volume Profile and VWAP concepts and want to see them across multiple timeframes in a single visual, with automatic confluence detection.
WHAT IS THE THEORY BEHIND THIS INDICATOR?
Most Volume Profile indicators on PulseWire — including the standard built-in profiles, Fixed Range Volume Profile, and the various session/visible-range derivatives — share a common architectural choice: they operate on a single timeframe. They show you the POC and Value Area for the current chart only. This treats each timeframe as an isolated decision space.
The problem: institutional flow is not isolated to one timeframe. The market makers operating on the daily horizon see different value areas than those operating on the weekly or 4-hour horizon. Their orders sit at their own POCs and Value Area boundaries. When price approaches a level that only one institutional horizon defends, the reaction is often modest. When price approaches a level that multiple horizons defend simultaneously, the reaction is structurally stronger — that confluence is where the largest pools of resting liquidity accumulate.
This indicator addresses that by performing the extraction across five user-configured timeframes simultaneously via `request.security()`, weighting each level by the gravitational significance of its parent timeframe, and then fusing levels from different timeframes that fall within a configurable margin. The math is standard Volume Profile (POC at the volume-weighted mode, VAH/VAL at the ±2.51σ boundary that approximates the 70% Value Area) — what makes it useful is doing it across five timeframes at once, with hierarchical weighting and confluence merging.
Why traders use it: each block represents an institutional decision zone. A standalone POC line from the 15-minute timeframe is a local reaction point. A POC line that simultaneously aligns with the 4-hour VAH and the daily VWAP is a multi-horizon barrier — a zone defended by three independent pools of institutional capital at once. The fusion engine makes these confluences immediately visible as thicker, more opaque blocks; the polarity of each block reflects the accumulated weight balance of the levels that compose it, not the polarity of the last level to be merged.
The three rendered components — Volume Profile zones, Anchored VWAPs, and Parabolic SAR levels — are not independent layers stacked on the same chart. They map three different aspects of institutional positioning at the same set of timeframes: where past volume concentrated (Volume Profile), where the live volume-weighted consensus price currently sits (VWAPs), and which directional trend regime each timeframe is in (SARs). The Wall Fusion Engine operates across all three layers indiscriminately — a POC from the 4-hour timeframe and a VWAP from the daily timeframe at the same price are fused into a single block, because from the perspective of institutional defense they represent the same structural barrier reinforced by two independent mechanisms. This integration is the reason the three components exist in a single script rather than as three separate indicators: the cross-layer fusion is what surfaces multi-mechanism confluence, which a separate-script approach cannot do.
MGI WALLS FEATURES
The indicator includes 6 main features:
Multi-Timeframe Volume Profile Engine
Anchored MTF VWAPs
Parabolic SAR Levels (MTF)
Wall Fusion Engine with Polarity-Balance Coloring
Nearest Wall HUD Panel
Institutional Collision Alerts
Multilingual interface and full customization across all visual layers.
MULTI-TIMEFRAME VOLUME PROFILE ENGINE
🔹 What It Does
The core of the indicator. For each of the five configured radar timeframes, the engine performs three operations:
◇ Locates the price level that received the highest traded volume in the lookback window — the Point of Control (POC).
◇ Computes the volume-weighted standard deviation of price around that POC.
◇ Builds the Value Area High (VAH) and Value Area Low (VAL) at a calibrated multiplier (±2.51σ) of that deviation, approximating the price range that contained 70% of the total volume.
The result is three institutional reference levels per timeframe — POC, VAH, VAL — extracted natively at the granularity of each timeframe rather than approximated from the current chart's data.
🔹 Method
The extraction runs via `request.security()` with `lookahead=barmerge.lookahead_off` to prevent repainting. The POC is identified as the volume-weighted mode within the lookback window. The Value Area boundaries are derived statistically from the volume-weighted variance of price around the POC, using a calibration factor (vp_k = 2.51) tuned to approximate the conventional 70% Value Area definition. Each level is plotted on the chart as a line or box at its native price location, color-coded by whether it sits above (resistance) or below (support) the current price, and weighted by the timeframe it originated from.
🔹 Hierarchical Weighting
The five timeframes are weighted by structural significance:
◇ TF1 (Micro, default 15m): weight 1 — local reaction point.
◇ TF2 (Intraday, default 1h): weight 1 — session-scale level.
◇ TF3 (Macro 1, default 4h): weight 2 — multi-session level.
◇ TF4 (Macro 2, default Daily): weight 3 — multi-day level.
◇ TF5 (Global, default Weekly): weight 5 — multi-week structural barrier.
The weight controls visual prominence (opacity, border thickness) and, when fusion occurs, the contribution of each level to the polarity balance of the resulting block.
ANCHORED MTF VWAPS
🔹 What It Does
For each of the five radar timeframes, an Anchored VWAP is extracted and rendered as a separate level. The Global VWAP — the average of all five — is also plotted, marked with a globe emoji to distinguish it from the per-timeframe VWAPs.
🔹 Method
The per-timeframe VWAP is computed via a volume-weighted moving average of hlc3 on the native bars of each timeframe, then reported back to the current chart through `request.security()`. The Global VWAP is the unweighted average of the five timeframe VWAPs that are currently available (NA values are skipped).
🔹 Why It Matters
The Volume Profile blocks tell you where past volume concentrated. The VWAPs tell you what the volume-weighted consensus price is for each horizon, updated bar by bar. Together they give a complete read on every bar: where the past institutional reference zones are (the blocks) and where the live volume-weighted average for each horizon currently sits (the VWAPs).
PARABOLIC SAR LEVELS (MTF)
🔹 What It Does
The Parabolic SAR for each of the five radar timeframes is extracted and rendered as an institutional trend-direction anchor. SAR levels are toggleable independently of the Volume Profile and VWAP layers.
🔹 Why It Matters
The SAR provides a directional trend reference per timeframe — when the Weekly SAR sits above price and the Daily SAR sits below, the structure is in conflict and the resolution of that conflict often drives the next swing. When multiple SARs align on the same side, the directional bias is structurally agreed across horizons.
WALL FUSION ENGINE WITH POLARITY-BALANCE COLORING
🔹 What It Does
When two or more levels from different timeframes fall within a configurable percentage threshold (default 0.30%), the engine fuses them into a single block. The fused block inherits the combined weight of all its components — visually thicker, more opaque, more visible than a standalone level. The label of the fused block accumulates the directional triangles of each contributing level (▲ for support, ▼ for resistance).
🔹 Polarity-Balance Coloring
The color of a fused block reflects the accumulated weight balance of its constituent levels — not the polarity of the last level to be merged. A block containing four resistance levels (▼▼▼▼) and two support levels (▲▲) will render red, because the resistance weight dominates. A block where support and resistance weights are equal uses a tiebreaker: the position of the current price relative to the block's midpoint. Price above midpoint resolves to support (green); price below resolves to resistance (red). This produces a coloring scheme that is internally consistent with the triangle labels and with the price's current location.
🔹 Customization
The Wall Merge Margin (%) input controls how aggressively levels are fused. Lower values produce many separate precise lines. Higher values produce massive consolidated institutional blocks. The default of 0.30% is calibrated for liquid instruments on intraday timeframes; for higher-volatility assets or higher timeframes, larger margins (0.50–1.00%) may produce more readable charts.
NEAREST WALL HUD PANEL
🔹 What It Shows
A compact corner panel reports four live values:
◇ RESISTANCE — the price of the nearest wall above the current price
◇ DIST. — the percentage distance from current price to that resistance
◇ SUPPORT — the price of the nearest wall below the current price
◇ DIST. — the percentage distance from current price to that support
The distances are computed against the midpoint of each fused block, so the values reflect the consolidated wall, not any single contributing level.
🔹 Why It Helps
The HUD removes the need to visually measure distances to the walls on every bar. It tells you in plain numerical form how far the nearest barriers are in each direction. Useful for stop placement, target placement, and live decision-making where the visual chart is busy with multiple levels.
🔹 Customization
The HUD can be positioned in any of the four chart corners and rendered in any of five font sizes. The display language is controlled by the System Language input.
snapshot
INSTITUTIONAL COLLISION ALERTS
🔹 What Triggers
Two alert types are available:
◇ VWAP Collision — fires when price crosses or touches the daily, weekly, or monthly VWAP within a 0.15% proximity band.
◇ Volume Profile Wall Hit — fires when price crosses or touches the Global POC, VAH, or VAL within the same proximity band.
🔹 How They Fire
Alerts are gated by `barstate.isconfirmed`, which means they only trigger on the close of the bar that touched the level — not intra-bar. This prevents false signals from wicks that get rejected before the bar closes. Each alert uses `alert.freq_once_per_bar`, ensuring no duplicate firings on the same candle.
🔹 alertcondition() Mode
For users who prefer the PulseWire alert UI rather than the `alert()` function call, two `alertcondition` blocks are also exposed: "VWAP Collision" and "Volume Profile Wall Hit". A third dummy `alertcondition` titled "HOW TO SETUP ALERTS (READ)" provides setup guidance in the alert condition menu.
MULTILINGUAL INTERFACE
The indicator supports five languages for the HUD display and alert messages: English (default), Português, Español, Русский, and 中文 (Chinese). Code, comments, and configuration tooltips remain in English regardless of the selected language.
For reference, the English text of all multilingual UI strings used in the HUD and alerts:
◇ (SUPPORT) / (RESISTANCE) — appended to wall labels indicating polarity
◇ RESISTANCE: / SUPPORT: — HUD row labels for nearest walls
◇ DIST.: — HUD row label for distance percentage
◇ VWAP Collision Alert: "🛡️ Price collided with Institutional VWAP. Defense zone active."
◇ Volume Profile Wall Alert: "🧱 Price hit Macro Volume Profile zone (POC/VAH/VAL). Institutional decision imminent."
HOW TO USE
This indicator is not a signal generator. It is a structural map: it tells you where the institutional barriers are, how strong each one is (by weight and fusion), and how far the nearest one is in each direction.
🔹 Reading the Walls
◇ Each line or block on the chart marks an institutional decision zone.
◇ The triangles in the label (▲ or ▼) and their count indicate the polarity and weight of the level.
◇ Walls with multiple triangles in the same direction are stronger reaction points than single-triangle walls.
◇ A block with mixed triangles is a fused confluence — the color shows which side dominates by weight.
🔹 Reading the HUD
◇ The HUD reports the nearest resistance above and nearest support below the current price.
◇ The percentage distances help size stops and targets against the structural barriers rather than against arbitrary fixed values.
🔹 Tactical Reading
◇ Price approaching a heavy multi-triangle wall: zone of elevated structural significance, where multiple institutional horizons coincide.
◇ Price sitting between two close walls of opposite polarity: ranging structure, defined by two opposing barriers of comparable weight.
◇ Price breaking through a heavy wall on confirmed close: structural shift. The wall often inverts polarity on subsequent retests.
◇ VWAP collision alerts: useful as a contextual reference for mean-reversion or trend-continuation analysis.
🔹 Multi-Timeframe Reading
◇ On lower timeframes (1m, 5m, 15m), configure shorter radar timeframes to track intraday institutional flow.
◇ On higher timeframes (1h, 4h, daily), keep the default 15m/1h/4h/D/W configuration to read multi-day and multi-week structural zones.
◇ The Global VWAP and Global POC (marked with 🌎) represent the consensus across all five timeframes — the most structurally significant single reference.
INPUTS EXPLAINED
🔹 System Language
Display language for the HUD and alert messages. Options: English (default), Português, Español, Русский, 中文 (Chinese).
🔹 Radar Timeframes (TF1 to TF5)
Configure each of the five macro periods to scan. Defaults: 15m, 1h, 4h, Daily, Weekly. The shortest timeframe carries weight 1; the longest carries weight 5.
🔹 Show MTF VWAPs (Radar)
Toggle for the Volume-Weighted Average Price extracted from each radar timeframe.
🔹 Show POC Lines
Toggle for the Point of Control lines — the price level with the highest traded volume in each timeframe.
🔹 Show VA Boxes (VAH / VAL)
Toggle for the Value Area High and Value Area Low — the upper and lower boundaries of the 70% volume zone.
🔹 Show SAR Levels
Toggle for the Parabolic SAR levels from each timeframe.
🔹 Fuse Overlapping Walls
Toggle for the confluence merging engine. When enabled, levels from different timeframes that fall within the Wall Merge Margin are consolidated into a single intensified block.
🔹 Wall Merge Margin (%)
Distance threshold to fuse nearby walls. Range 0.01–3.00, default 0.30. Lower values produce separate precise lines; higher values produce consolidated institutional blocks.
🔹 Show Nearest Wall Panel
Toggle for the corner HUD reporting nearest resistance, nearest support, and the percentage distances.
🔹 Panel Position
Position of the HUD on the chart. Four corners available: Top Right (default), Top Left, Bottom Right, Bottom Left.
🔹 Font Size
HUD font size. Options: Tiny, Small (default), Normal, Large, Huge.
🔹 VWAP Collision Alert
Toggle for the alert that fires when price collides with the daily, weekly, or monthly VWAP.
🔹 Volume Profile Wall Alert (POC/VAH/VAL)
Toggle for the alert that fires when price touches the Global POC, VAH, or VAL.
IMPORTANT NOTES
The MGI Walls works on any timeframe. The default radar configuration (15m/1h/4h/D/W) is calibrated for intraday and swing trading on liquid instruments. For position trading or scalping, the radar timeframes can be reconfigured to scan longer or shorter horizons respectively.
The indicator works best on instruments with reliable volume data: crypto perpetual contracts, large-cap equities, futures, major forex pairs. On low-volume instruments, the Volume Profile component becomes less reliable, though the VWAP and SAR components continue to function correctly.
Alerts fire once per confirmed bar. Historical bars never repaint after they close. The live bar updates intra-bar as expected for a real-time indicator.
The Value Area calibration factor (vp_k = 2.51) is tuned to approximate the conventional 70% Value Area definition under volume-weighted standard deviation. It is a calibration constant derived from observation rather than an arbitrary choice.
Pine Script v6. Open-source under Mozilla Public License 2.0.
UNIQUENESS
The MGI Walls is unique in three ways. First, it performs the Volume Profile, VWAP, and SAR extraction across five timeframes simultaneously rather than on the current chart only, surfacing the institutional reference zones that multiple time horizons agree on rather than only those visible on the active timeframe. Second, it weights each level by the structural significance of its parent timeframe — a Weekly POC carries five times the gravitational weight of a 15-minute POC — and the Wall Fusion Engine consolidates levels from different timeframes that fall within a configurable margin into a single intensified block, making multi-horizon confluence zones immediately visible as visually thicker walls. Third, the fused-block coloring reflects the accumulated weight balance of all constituent levels rather than the polarity of the last level to be merged, producing a visual scheme that is internally consistent with the triangle labels (▲ for support, ▼ for resistance) and with the price's current position relative to the block. The combination of multi-timeframe simultaneous extraction, hierarchical weighting with automatic confluence fusion, and balance-driven block coloring produces a structural map that behaves differently from single-timeframe Volume Profile indicators, particularly at price zones where multiple institutional horizons converge and where the strongest reactions tend to occur.
PUBLICATION METADATA (handoff to operator — not part of description)
Title: MGI Walls | Rainbow Matrix
Visibility: Open-source / Public
Category suggestion: Volume-based (primary) — PulseWire's category for Volume Profile / volume-driven indicators
Tag suggestions (TV allows up to 10; pick the 9 most relevant):
- volume-profile
- poc
- value-area
- vwap
- multi-timeframe
- mtf
- confluence
- institutional
- support-resistance
- parabolic-sar (optional, swap for one above if SAR is a key selling point)
License declaration: Mozilla Public License 2.0 (already in script header)
Screenshot slots in the description (5 "snapshot" placeholders):
1. After GENERAL OVERVIEW — wide chart showing the indicator running on BTC or major instrument, with walls visible across multiple TFs
2. After Multi-Timeframe Volume Profile Engine section — chart annotated with POC/VAH/VAL lines from different TFs
3. After Wall Fusion Engine section — close-up of a fused confluence block with mixed triangles (▲▼) and the polarity-balance color clearly visible
4. After Nearest Wall HUD Panel section — HUD close-up showing the 5-row layout with real values
5. (Optional, swap into one of the above slots) — Black Swan-style touch event showing a collision alert firing
Indicator
Reaction Quality Heat Zones [AGPro Series]Reaction Quality Heat Zones
🧠 Core Idea
Is price reacting with clean quality, or is the zone only producing weak noise and failure pressure?
📌 Overview / What it does
Reaction Quality Heat Zones is a premium PulseWire overlay that evaluates the quality of price reactions around a live reference zone. It studies wick rejection, close location, participation, follow-through, and failed-reaction pressure to determine whether the current reaction area deserves attention.
The script produces a forward-projected heat zone, centered zone label, compact event labels, right-side state tags, and an AGPro-style panel. It is designed to show whether a reaction is clean, weak, absorbing pressure, failing, or producing follow-through.
It does not predict price direction, automate trading, or provide guaranteed entries. It is a visual context tool for reading reaction quality.
🎯 Purpose & Design Philosophy
This script was built because many traders can see a reaction after it happens, but struggle to judge the quality of that reaction in real time.
Reaction Quality Heat Zones helps traders evaluate whether a level, area, or market response is actually meaningful, or whether price is only producing low-quality movement around noise.
The mindset is quality-first: not every bounce, rejection, or reaction deserves the same weight.
⚡ Why This Script Is Different
Most tools mark support, resistance, or candle reactions as isolated events.
This script does NOT treat every wick or bounce as equally important.
Instead, it evaluates reaction quality as a combined structure: wick quality, close behavior, participation, follow-through, and failure pressure are all interpreted together.
⚙️ Methodology
1. Context Detection
The script identifies the dominant reaction side by comparing bullish and bearish reaction quality.
2. Reference Mapping
It builds a heat zone around the most relevant recent reaction boundary.
3. Reaction Evaluation
It scores the zone using wick rejection, close quality, participation, follow-through, and distance from the reaction boundary.
4. Visual Output
It displays a projected heat zone, event labels, state tags, and a structured panel.
🗺️ How to Read the Chart
Zones represent areas where reaction quality is being evaluated.
The centered zone label shows the active reaction heat score.
Labels mark clean reactions, weak reactions, absorption risk, failed reactions, and follow-through events.
Colors represent state context:
• Green = clean or follow-through reaction
• Pink = failed reaction pressure
• Yellow = absorption risk
• Indigo = weak or building reaction
The panel summarizes reaction state, direction, heat score, failure pressure, wick quality, follow-through, and next context.
🚦 Signals & States
• CLEAN REACTION → reaction quality is strong and failure pressure is controlled
• FOLLOW-THROUGH → reaction quality is strong and continuation is visible
• WEAK REACTION → reaction quality is not strong enough yet
• ABSORPTION RISK → quality exists, but failure pressure is also elevated
• FAILED REACTION → failure pressure dominates the reaction area
• REACTION BUILD → no decisive reaction state is confirmed
🔔 Alerts Logic
Alerts trigger when a new clean reaction, follow-through reaction, failed reaction, absorption risk, or weak reaction is detected.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The strongest reaction context appears when wick rejection, close quality, participation, and follow-through align.
The weakest reaction context appears when reaction quality is low and failure pressure increases.
📊 When to Use
• Support and resistance reactions
• Breakout retests
• Range boundary reactions
• Pullback reaction checks
• Intraday and swing market-structure review
⚠️ When NOT to Use
• Very low-liquidity symbols
• Random chop without clear reaction areas
• News-driven spikes
• Charts where spreads or data quality distort candles
🎛️ Key Inputs
• Reaction Lookback → controls the recent window used to build the heat zone
• Follow-Through Length → controls continuation evaluation after reaction
• Heat Threshold → defines how strong a reaction must be to qualify
• Failure Threshold → defines when failure pressure becomes important
• Zone Projection Bars → keeps all zone edges visible for publication screenshots
• Panel and label settings → control readability and layout
🖥️ Interface & Visual Design
The interface is built for fast visual interpretation.
The heat zone carries the main story, while the panel provides structured confirmation. Right-side tags keep the current state readable without burying the candles.
The visual design is intentionally premium, compact, and publication-ready.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check the active heat zone.
3. Compare heat score with failure pressure.
4. Look for clean reaction or follow-through confirmation.
5. Interpret the result within broader market structure.
🔍 Interpretation Guidelines
High heat with controlled failure pressure suggests a cleaner reaction.
High heat with high failure pressure suggests absorption risk.
Low heat suggests the reaction may not be meaningful yet.
Failed reaction pressure does not guarantee reversal. It shows that the reaction area is losing quality.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not provide guaranteed buy or sell signals.
It does not replace risk management.
⚠️ Limitations & Transparency
Reaction quality can change quickly.
Different timeframes may show different reaction behavior.
Volatility, liquidity, market sessions, and sudden news can affect how zones behave.
Outputs should always be interpreted with broader market context.
🧠 Market Context Notes
A good reaction is not only a wick.
It also needs close quality, participation, and follow-through. This script is designed to make that difference visible.
🧾 Use Case Examples
When price reacts from a zone with strong wick quality, strong close behavior, and follow-through, the heat score can confirm a cleaner reaction.
When price reacts but failure pressure rises, the zone may be vulnerable.
When price stays inside the zone without quality, the script may show weak reaction or reaction build context.
🧱 System Philosophy
AGPro Series scripts are designed to make complex market context easier to read without reducing the market to simplistic signals.
This script follows that philosophy by focusing on reaction quality instead of generic support or resistance marks.
🔐 Non-Promise Statement
No script can guarantee future price movement.
This tool provides structured context, not certainty.
📉 Risk Disclosure
Trading involves risk.
Users remain responsible for their own decisions, position sizing, and risk management.
This script does not provide financial advice or guaranteed trading outcomes.
📚 Educational Note
Use this script to study how price reacts around important areas and to compare clean reactions with weak or failed reactions across different market conditions.
Indicator
Acceptance Failure Path Map [AGPro Series]Acceptance Failure Path Map
🧠 Core Idea
Did price truly accept beyond a market boundary, or did that acceptance fail and create a new reaction path?
📌 Overview / What it does
Acceptance Failure Path Map is a market-structure visualization tool designed to study acceptance, failed acceptance, reclaim attempts, and continuation behavior around a defined reference range.
The script maps an acceptance band, detects whether price holds above or below that band, and highlights when accepted price fails back through the boundary. It produces compact labels, a centered path zone, right-side state tags, and an AG Pro panel that summarizes the current acceptance context.
It does not predict price direction, automate decisions, or claim that any acceptance event must continue. Its purpose is to make acceptance quality easier to read.
🎯 Purpose & Design Philosophy
This script was built for traders who want to understand whether a move is being accepted by the market or rejected after a temporary push beyond structure.
Many breakout tools mark only the breakout event. This script focuses on what happens after the breakout: acceptance, failure, reclaim pressure, and continuation risk.
The design supports a patient, context-first workflow where the trader reads the path of price around a boundary instead of reacting to a single candle.
⚡ Why This Script Is Different
Most tools focus on breakout signals, support and resistance touches, or simple range breaks.
This script does NOT treat every break as meaningful acceptance.
Instead, it builds a path map around acceptance quality, failure timing, reclaim behavior, and current risk state. The result is a cleaner view of whether price is holding acceptance or losing it.
⚙️ Methodology
1. Context Detection
The script builds a reference range from recent market structure and applies an ATR-based buffer to reduce noise.
2. Reference Mapping
It defines upper and lower acceptance boundaries and tracks whether price closes beyond them for the required number of bars.
3. Reaction Evaluation
After acceptance appears, the script monitors whether price fails back through the boundary, attempts reclaim, or holds continuation.
4. Visual Output
The chart displays an acceptance path zone, event labels, right-side state tags, and a panel summarizing the current condition.
🗺️ How to Read the Chart
Zones show the current acceptance path area around the active boundary.
Labels highlight acceptance above, acceptance below, acceptance failure, reclaim tests, and held acceptance.
Colors separate bullish acceptance, bearish acceptance, neutral failure risk, and reclaim context.
The panel shows the current path state, acceptance side, failure risk, path quality, reference range, active boundary, and next context.
🚦 Signals & States
• ACCEPT ABOVE → Price has accepted above the reference boundary.
• ACCEPT BELOW → Price has accepted below the reference boundary.
• ACCEPT FAIL → Accepted price failed back through the boundary within the failure window.
• RECLAIM TEST → Price is testing reclaim after a failed acceptance event.
• ACCEPT HELD → Acceptance remained valid after the failure window.
🔔 Alerts Logic
Alerts trigger when the script detects acceptance above, acceptance below, acceptance failure, or reclaim testing.
These alerts are attention markers. They are not trade instructions, entry signals, or guaranteed outcomes.
🧩 Confluence Logic
The context becomes stronger when acceptance quality, distance from the reference range, participation, and follow-through direction align.
If acceptance appears without follow-through or quickly returns through the boundary, the failure context becomes more important.
📊 When to Use
• After range breaks
• Around support and resistance transitions
• During breakout retests
• When price is attempting to hold above or below a major boundary
• When evaluating whether market structure is accepted or rejected
⚠️ When NOT to Use
• Extremely illiquid markets
• Very noisy low-timeframe candles
• News-driven spikes with unstable spreads
• Markets with no meaningful reference range
• Situations where a single indicator is being used without broader context
🎛️ Key Inputs
• Reference Range Length → controls how much structure is used to build the acceptance boundary.
• Acceptance Bars → controls how many closes are required before acceptance is recognized.
• Failure Window → controls how quickly accepted price must fail back through the boundary.
• Boundary Buffer ATR → adjusts the buffer around the reference range.
• Label and Panel Font Size → adjust chart readability.
• Visible Band Bars and Band Projection Bars → control how the acceptance zone appears on the chart.
🖥️ Interface & Visual Design
The interface is designed for a premium, clean chart view.
The panel provides the current summary. The acceptance zone carries the main story. Labels are compact and spaced to avoid hiding candles.
The visual hierarchy is intentionally simple: zone first, current state second, event labels third.
🧪 Practical Usage Workflow
1. Read the AG Pro panel to identify the current path state.
2. Check whether price is above, below, or inside the acceptance path zone.
3. Review recent labels to understand whether acceptance held, failed, or reclaimed.
4. Compare the current failure risk and path quality with broader market context.
5. Use alerts only as attention markers for further review.
🔍 Interpretation Guidelines
Acceptance is stronger when price remains outside the boundary with follow-through.
Acceptance failure is more meaningful when price quickly returns through the boundary after appearing accepted.
Reclaim tests should be interpreted as context changes, not automatic reversal signals.
Held acceptance suggests the market is continuing to respect the accepted side, but it still requires confirmation from broader structure.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not provide guaranteed buy or sell signals.
It does not replace risk management, market context, or independent analysis.
⚠️ Limitations & Transparency
Acceptance behavior can look different across timeframes.
High volatility can create temporary false readings.
Low-liquidity markets may produce unstable boundary behavior.
The script is rule-based and depends on the selected settings, symbol behavior, and chart timeframe.
🧠 Market Context Notes
Acceptance and failure are closely related to market structure, liquidity reaction, and participant commitment.
When price breaks a boundary but cannot hold it, the failed side may become the more important context.
When price accepts and holds, the market may be showing stronger directional commitment.
🧾 Use Case Examples
When price accepts above a range and holds beyond the failure window, the chart may show an ACCEPT HELD context.
When price accepts above a boundary but quickly closes back below it, the script may mark ACCEPT FAIL.
When price returns back toward a failed boundary, the script may show a RECLAIM TEST state.
🧱 System Philosophy
AGPro Series tools are built to visualize market context without turning analysis into prediction.
The goal is to make structure, risk, and reaction quality easier to observe in real time.
🔐 Non-Promise Statement
No script can guarantee market direction, timing, or outcome.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and position sizing.
This script does not provide financial advice or guaranteed trading results.
📚 Educational Note
Use this script as a learning and analysis tool for studying acceptance, failed acceptance, reclaim pressure, and continuation behavior around market boundaries.
Indicator
