Smooths Heat Seeker Liquidity MapOverview
This indicator maps resting liquidity by detecting confirmed swing highs and lows at three independent lookback lengths, then rendering each one as a zone that visibly fades the longer it goes untouched. Instead of a static box that holds one shade until it's swept, each zone is built from small time-segments, and each segment locks in whatever color the zone's fade formula produces at the moment it's drawn — so a single zone shows a genuine gradient across its own lifetime, brightest where it formed and dimmer toward the present if nothing has happened to it since.
Concepts used
Tiered pivot detection: ta.pivothigh()/ta.pivotlow() run at three separate lookback lengths (Fast/Mid/Slow). A pivot only confirms after "Confirmation Bars" bars have passed with no higher high / lower low, which is what prevents repainting the level's location after the fact.
Age-based color decay: each level stores the bar index it was formed on. Every time a new segment is drawn, the indicator computes how many bars old the level is, runs that through a decay curve (fadeStrength input controls the curve's steepness), and converts the result into a transparency value for that segment only. Because past segments are never redrawn, the visual history of the fade is preserved rather than the whole zone jumping to one shade at once.
Mitigation vs. retest: a level is deleted the instant price crosses it (wick or close, user's choice) — that's treated as the liquidity being consumed. If price merely touches the level without crossing it, and "Refresh Fade On Retest" is on, the level's age resets to zero, so a level that keeps getting defended stays bright while one that's simply being ignored keeps fading toward removal.
Tier-priority merging: if a new pivot lands at the same price as an existing level, the indicator keeps the higher tier rather than creating a duplicate zone, so a level significant on the Slow lookback doesn't get visually diluted by a Fast-tier duplicate sitting on top of it.
How to use it
Add it to any chart/timeframe with default settings. Brighter zones are recent or actively-retested liquidity; dimmer zones are levels the market has drifted away from without touching. Use Fast/Mid/Slow tier colors to separate minor intraday levels from more structurally significant ones, and adjust Fade/Lifetime, Fade Strength, and Cell Width to control how far back the map looks and how coarse or smooth the fade appears.
Originality
This is not a combination of other publications — there's a single detection-and-rendering pipeline here (pivot detection → age tracking → per-segment decay → mitigation/retest handling), and every part of it was written for this script. No code, calculations, or visual techniques are reused from another publication.
Inputs
Fast / Mid / Slow — pivot lookback lengths for the three liquidity tiers
Confirmation Bars — bars required after a swing point before it's confirmed
Mitigate On — wick or close removes a level
Fade/Lifetime, Fade Strength, Cell Width — control how long a zone lives and how its decay curve is shaped
Refresh Fade On Retest — restarts a zone's age on an unmitigated touch
Box Height Multiplier — sets zone thickness as a multiple of ATR
Weak / Mid / Strong colors — one color per tier
This indicator has no signals, alerts, or trade markers — it's a pure visualization of where liquidity currently sits on the chart, and how fresh or stale each level is. インジケーター
SMC EngineSMC Engine
Overview
SMC Engine is a market-context indicator designed to identify potential liquidity sweeps and directional pressure around a selected session range.
The indicator combines an open-based NY range, candle spread analysis, and lower-timeframe volume pressure to classify market conditions such as Stop Hunts, directional aggression, and breakouts.
The default session is 09:30–10:30 New York time, but the session and timezone can be adjusted from the settings.
Key Features
Open-based NY session range
Automatic range box visualization
Projected range levels after the session
Candle spread anomaly detection
Lower-timeframe volume pressure
Stop Hunt High detection
Stop Hunt Low detection
Bullish Aggression detection
Bearish Aggression detection
Breakout Up/Down classification
Real-time sentiment dashboard
How It Works
1. Open-Based NY Range
During the selected session, the indicator tracks the highest and lowest candle opening prices.
These levels form the open-based range used by the sentiment engine.
Note: This is an open-based range, not a conventional opening range calculated from candle highs and lows.
2. Spread Analysis
The indicator compares the current candle's spread (High - Low) with its average spread over the selected baseline period.
Default settings:
Spread Baseline: 50 bars
Spread Anomaly Multiplier: 2.0
When the current spread exceeds the baseline multiplied by the anomaly multiplier, it is classified as a spread anomaly.
3. Volume Pressure
The indicator uses lower-timeframe candle data to estimate directional volume pressure.
Lower-timeframe close > open → volume is counted as positive
Lower-timeframe close < open → volume is counted as negative
Lower-timeframe close = open → volume is ignored
The resulting value is used as a volume-pressure proxy.
This is not true bid/ask volume delta.
Sentiment Conditions
Stop Hunt High
A Stop Hunt High is identified when:
The candle has an unusually large spread
Price trades above the open-based range high
The candle closes back at or below that level
Lower-timeframe volume pressure is negative
The signal is displayed with an orange downward triangle.
This can be viewed as a potential bearish liquidity-sweep setup.
Stop Hunt Low
A Stop Hunt Low is identified when:
The candle has an unusually large spread
Price trades below the open-based range low
The candle closes back at or above that level
Lower-timeframe volume pressure is positive
The signal is displayed with an orange upward triangle.
This can be viewed as a potential bullish liquidity-sweep setup.
Bullish / Bearish Aggression
When a spread anomaly occurs without meeting the Stop Hunt conditions, the indicator evaluates candle direction and volume pressure to identify:
Bullish Aggression
Bearish Aggression
Air Pocket/Uncertain
Breakouts
When the spread is not classified as an anomaly, the indicator can identify:
Breakout Up
Breakout Down
These classifications are based on price closing beyond the open-based range together with corresponding volume pressure.
How to Use It
The indicator is primarily intended as a market-context and confirmation tool, rather than a standalone buy/sell system
A simple way to use the Stop Hunt signals is:
Bullish Setup
Stop Hunt Low → wait for confirmation → consider long
When an orange Stop Hunt Low appears, avoid entering immediately. Observe the following price action and look for bullish confirmation before considering a long trade.
Bearish Setup
Stop Hunt High → wait for confirmation → consider short
When an orange Stop Hunt High appears, avoid entering immediately. Observe the following price action and look for bearish confirmation before considering a short trade.
The Stop Hunt signal should therefore be treated as a setup/area of interest, not an automatic entry signal.
Traders can combine the signal with their own market structure, price action, risk management, and higher-timeframe analysis.
Dashboard
The dashboard displays:
VSA Price Spread — current candle spread in ticks
Baseline Spread — average spread used for anomaly detection
Volume Pressure — calculated lower-timeframe directional volume pressure
Current Sentiment — current classification produced by the engine
Recommended Usage
The default configuration is designed around using a lower timeframe for volume-pressure analysis, such as a 1-minute lower timeframe on a 5-minute chart.
The appropriate settings can vary by market, symbol, and timeframe, so traders should test the indicator under the conditions in which they intend to use it.
Important Limitations
The range is based on candle opens, not highs and lows.
Volume Pressure is a directional-volume proxy and should not be interpreted as true bid/ask delta.
A Stop Hunt signal does not guarantee a reversal or profitable trade.
Breakout classifications do not guarantee that a breakout will continue.
The indicator does not determine stop-loss placement, take-profit levels, or position sizing.
Market conditions, liquidity, and data-feed characteristics can affect the behavior of lower-timeframe calculations.
Traders should independently test and validate the indicator before using it in live trading.
SMC Engine is intended for market analysis and educational purposes and should be used together with appropriate risk management. インジケーター
Pattern Atlas : Geometric [AxeAlgo]Pattern Atlas : Geometric Patterns
WHAT THIS LIBRARY IS
This is a Pine Script v6 library of 17 classical chart pattern detectors — Head and Shoulders, Double/Triple Tops and Bottoms, triangles, wedges, flags, and the rest of the standard technical-analysis catalog built from swing highs and lows rather than single-candle shape. Unlike candlestick patterns, which read one to a handful of fixed bars, chart patterns span a variable, often large number of bars, so this library carries one small piece of state — a rolling history of confirmed swing pivots — that every pattern function reads from. Beyond that, the same philosophy as Library #1 applies: no plotting, no alerts, and no inputs in this script by design, since a library's job is to hand other scripts a clean, reusable, well-documented API, not to draw on a chart itself (Pine doesn't allow a library to plot anything anyway). If you're looking for a ready-to-use indicator built on top of this library, see the companion "Pattern Atlas : Geometric Indicator " script, which imports every function here and turns it into on-chart signals, measured-move price targets, a live scanner table, and alerts.
Chart pattern analysis is one of the foundational tools of classical technical analysis, going back to Edwards and Magee's original work and refined since by researchers like Thomas Bulkowski, whose statistical studies of pattern behavior are the closest thing this field has to an industry-standard reference. The patterns in this library follow that standard catalog, so anyone who already knows what a Head and Shoulders top or an Ascending Triangle looks like will recognize exactly what each function is checking for.
WHY A LIBRARY INSTEAD OF ONE MONOLITHIC INDICATOR
Splitting detection logic out as an importable library means:
- Any Pine coder building their own strategy, indicator, or screener can pull in exactly the pattern checks they need without copy-pasting swing-pivot and trendline math into every new script.
- The detection logic is tested and maintained in one place. When a threshold gets refined, everything importing this library benefits from the update by bumping one version number.
- It keeps the math separate from presentation — how a pattern gets drawn, colored, or alerted on is a completely separate decision from whether the pattern is actually present, and different users want different presentations.
HOW TO IMPORT AND USE IT
Add this line near the top of your script (adjust the version number to whatever the current published version is):
import AxeAlgo/Pattern_Atlas_Geometric/1 as geo
Unlike Library #1, most of the functions here need a shared pivot history to work from. Call trackPivots() exactly once per bar, then pass its result into every detect*() function that needs it:
pivots = geo.trackPivots()
match = geo.detectDoubleTopBottom(pivots)
if match.found
label.new(bar_index, high, match.patternName)
Four functions — detectSpike(), detectFlag(), detectPennant(), and detectIslandReversal() — read directly off recent price action instead of the shared pivot history, so they're called without a pivots argument: geo.detectSpike().
trackPivots() takes three optional parameters: leftBars and rightBars (how many less-extreme bars must surround a candidate swing point before it confirms as a pivot — higher values mean fewer, more significant pivots, at the cost of a longer confirmation lag), and maxPivots (how much pivot history to retain). All three have sensible defaults.
Every detect*() function returns the same structure, called ChartPatternMatch, so the calling pattern is identical no matter which of the 17 you use. It has nine fields:
- found — true if the pattern matched at the evaluated bar, false otherwise.
- patternName — the specific name of what matched (e.g. "Ascending Triangle"), na when not found.
- direction — "bullish" or "bearish".
- pivotBars — bar_index of each pivot the match was built from, in chronological order.
- pivotPrices — price of each pivot, in the same order as pivotBars.
- breakoutLevel — the support, resistance, or neckline level price broke through to confirm the pattern.
- necklineSlope — slope (price per bar) of the breakout line, na when the pattern's breakout level isn't a sloped line.
- barIndex — the bar_index the pattern completes (breaks out) on.
- description — a full sentence naming the pattern and the actual measured price levels that triggered it — genuinely useful for a tooltip or an alert message, not just a repeat of the pattern name.
Two additional exported functions turn that raw match into something more actionable, and both work on any ChartPatternMatch regardless of which detect*() function produced it:
- patternStrength(match) — a 0-100 score for how decisively the confirmation close broke through breakoutLevel, relative to the pattern's own price range. A breakout that clears the level by a meaningful fraction of the pattern's own size scores higher than a one-tick poke through it.
- patternTarget(match) — a classical measured-move price target, projecting the pattern's own height from the breakout point. Returns na for patterns without a reliable height to project from (V-Top/V-Bottom Spike, Island Reversal, Bump-and-Run Reversal).
Every detect*() function also exposes its own set of tunable threshold parameters — how flat a "flat top" has to be, how much two shoulders can differ and still count as equal, and so on — all with sensible defaults so you don't have to touch them unless you want to tighten or loosen a specific pattern's sensitivity for a particular instrument or timeframe.
THE 17 PATTERNS
Reversal patterns (7) — signal a potential change in the prevailing trend:
- Head and Shoulders / Inverse Head and Shoulders — detectHeadAndShoulders(). Three swing extremes with the middle one more extreme than the two roughly-equal outer ones, confirmed when price breaks the neckline connecting the two points between them.
- Double Top / Double Bottom — detectDoubleTopBottom(). Two roughly equal peaks (or troughs) with a retracement between them, confirmed when price breaks back through that retracement level.
- Triple Top / Triple Bottom — detectTripleTopBottom(). The same idea as a Double Top/Bottom with a third roughly-equal touch, confirmed on the break of the support or resistance formed between the touches.
- Rounding Top / Rounding Bottom — detectRoundingTopBottom(). A gradual, curved advance-and-rollover (or decline-and-recovery) between two similar edge levels. Approximate: read from three swing pivots rather than fitting a true curve.
- Diamond Top / Diamond Bottom — detectDiamondTopBottom(). Swing range that widens and then narrows again, confirmed on a break of the resulting support or resistance. Rare and approximate: read from three pivot pairs rather than a clean diamond outline.
- Broadening Formation — detectBroadeningTopBottom(). Diverging highs and lows forming an increasingly volatile range, confirmed on a break of either edge. Approximate: read from two pivot pairs rather than a hand-fitted diverging channel.
- V-Top / V-Bottom (Spike) — detectSpike(). A single sharp extreme with no rounding — a large move into the pivot and an equally large move away from it, both measured against the recent average bar range, within a handful of bars. Self-contained, no pivots argument needed.
Continuation patterns (8) — typically resolve in the direction of the move that preceded them:
- Ascending Triangle — detectTriangleAscending(). Flat resistance with rising support, confirmed on a break above resistance.
- Descending Triangle — detectTriangleDescending(). Flat support with falling resistance, confirmed on a break below support.
- Symmetrical Triangle — detectTriangleSymmetrical(). Converging highs and rising lows, confirmed (bullish or bearish) whichever side the price actually breaks.
- Rising Wedge / Falling Wedge — detectWedge(). Both trendlines slope the same direction and converge; breaks the opposite way from the slope, since the shared-direction move was already losing momentum.
- Bull Flag / Bear Flag — detectFlag(). A strong directional move (the pole), followed by a tight, roughly parallel pullback, confirmed on a break back out in the pole's direction. Self-contained, no pivots argument needed.
- Bull Pennant / Bear Pennant — detectPennant(). The same pole-and-consolidation structure as a Flag, but the consolidation narrows and converges rather than staying parallel. Self-contained, no pivots argument needed.
- Rectangle — detectRectangle(). Price boxed between flat support and flat resistance, confirmed on a break of either edge.
- Cup and Handle / Inverted Cup and Handle — detectCupAndHandle(). A rounded recovery (or decline) back to its starting rim, then a shallow pullback (the handle), confirmed on a break through the rim.
Structural / gap-based patterns (2):
- Bullish / Bearish Island Reversal — detectIslandReversal(). A bar (or small cluster) isolated by a gap on both sides, then abandoned by a gap the other way — an abrupt reversal. Self-contained, pure gap logic, no pivots argument needed.
- Bump-and-Run Reversal — detectBumpAndRun(). A lead-in trendline, then a "bump" phase accelerating well beyond it, then a "run" breaking back through the lead-in line. Approximate: the lead-in line is read from just two pivots rather than a hand-drawn trendline.
WHAT THIS LIBRARY DELIBERATELY DOES NOT DO
No plotting, no drawing, no alertcondition() calls, and no inputs — Pine doesn't allow any of those inside a library in the first place, since a library can never be added to a chart on its own. If you want signals, price targets, a scanner table, or alerts, import this library into your own script (or use the companion "Pattern Atlas : Chart Pattern Scanner " indicator, which does exactly that) rather than expecting this script to render anything by itself.
This library also does not evaluate multi-timeframe data, volume, or broader market structure — it's swing-pivot and trendline geometry only, on purpose, so its behavior is easy to reason about and easy to reuse as one building block among several.
Four of the seventeen patterns are explicitly noted above as approximate: Rounding Top/Bottom, Diamond Top/Bottom, Broadening Formation, and Bump-and-Run Reversal are read from a small, fixed number of swing pivots rather than fitting a true curve or hand-drawn trendline to the data. They will not catch every textbook-perfect example of these shapes, and they may occasionally flag a looser approximation of one. Treat them as a starting point for further chart review, not a final word.
PART OF A LARGER SERIES
This is Library #2 in the AxeAlgo Pattern Atlas — a planned set of Pine libraries splitting pattern detection by the method actually used to find each kind of pattern: candlestick shape (Library #1, already published), classical chart/geometric patterns (this library), harmonic patterns (Fibonacci-ratio XABCD structures), and market-structure concepts (order blocks, liquidity, Wyckoff-style events). Each library is independent and useful on its own; together they're meant to cover technical pattern analysis without forcing unrelated detection methods into the same function.
A NOTE ON REPAINTING
trackPivots() only confirms a swing pivot once rightBars bars have passed since it happened — the same confirmation lag ta.pivothigh()/ta.pivotlow() use, just written out as plain comparisons so it works safely inside a library's exported functions. That means a pivot never moves or disappears once confirmed; it just takes rightBars bars to become known, which is a normal and unavoidable part of swing-pivot detection, not a defect in this library. On the currently-forming bar, a pattern's found status can still change tick to tick as that bar's own high, low, and close move — that's inherent to reading live price action. If you're building persisted signals, drawings, alerts, or price targets on top of these functions (rather than a live "what's happening right now" readout), gate your usage on barstate.isconfirmed so a signal only fires once the bar it describes has actually closed, exactly like the companion scanner indicator does.
DISCLAIMER
This library is a technical analysis tool for identifying classical chart pattern shapes in historical and live price data. It does not predict future price movement, and a detected pattern — including any projected price target — is a description of past price action, not a signal guaranteed to repeat. Nothing in this script constitutes financial advice. Always combine pattern recognition with your own risk management and broader analysis before making any trading decision.
ライブラリ
Pattern Atlas: Candlestick Indicator [AxeAlgo]Pattern Atlas: Candlestick Indicator
Companion indicator to Pattern Atlas : Candlestick (Library #1 of the AxeAlgo Pattern Atlas)
WHAT THIS INDICATOR IS
This is a complete candlestick pattern scanner built on top of the Pattern Atlas : Candlestick library — 23 classical candlestick patterns, detected on every bar and turned into on-chart highlighting, a live scanner table, and alerts. It doesn't implement any pattern math itself; every detection is delegated to the library's detect*() functions, so what you see here is exactly what that library finds, with nothing added or reinterpreted.
Candlestick reading is one of the oldest tools in technical analysis, tracing back to Steve Nison's work bringing Japanese candlestick charting to Western traders. The 23 patterns here follow that standard catalog (cross-checked against TA-Lib's CDL* function list), so anyone who already knows what a Morning Star or a Bullish Engulfing bar looks like will recognize exactly what's being flagged.
THE 23 PATTERNS IT SCANS
Single-bar patterns (9): Doji, Long-Legged Doji, Dragonfly Doji, Gravestone Doji, Hammer / Hanging Man, Inverted Hammer / Shooting Star, Marubozu, Spinning Top, Belt Hold.
Two-bar patterns (6): Engulfing, Harami, Harami Cross, Piercing Line / Dark Cloud Cover, Tweezer Top / Bottom, Kicker.
Three-bar-and-longer patterns (8): Morning / Evening Star, Morning / Evening Doji Star, Three Soldiers / Crows, Three Inside Up / Down, Three Outside Up / Down, Abandoned Baby, Rising / Falling Three Methods (the one pattern spanning 5 bars), Stick Sandwich.
READING THE CHART
Each matched pattern gets a box drawn around the exact bars it spans, colored gold for bullish, pale gold-white for bearish, and bright gold for neutral (indecision) patterns — colors are user-configurable. On top of that, a "pin" marker appears at the bar: bullish pins hang below the bar, bearish pins sit above it, and neutral patterns get a plain floating gem with no stem, since indecision doesn't have a direction to anchor to. Hovering any pin or gem shows the full description of everything that matched on that bar, including a measured strength percentage for each one — not just the pattern name repeated back at you.
Strength is a generic, direction-based read on how decisively the bar closed within its own high-low range (near the high for a bullish match, near the low for a bearish one, or a small body relative to the range for a neutral one) — a rough, pattern-agnostic proxy, not a bespoke ratio breakdown per pattern, since that level of internal detail isn't something the library exposes.
THE SCANNER TABLE
A table lists all 23 patterns grouped by category, with a live status column showing each one's current match percentage (or a dash when nothing's matching on the current bar). Position, text size, and whether it's shown at all are all configurable. This table is intentionally live — it reflects the forming bar in real time rather than waiting for the bar to close, since it's meant as a "what's happening right now" readout rather than a persisted signal.
FILTERS AND SETTINGS
Every pattern has its own on/off checkbox, and each of the three categories (Single-Bar, Two-Bar, Three-Bar+) has a master switch above its checkboxes to turn the whole group off in one click.
Three additional filters are available, all off by default so the scanner stays an unbiased detector unless you opt in:
- Volume confirmation — requires a match to occur on at least a chosen multiple of its own trailing average volume before it counts.
- Trend context — requires bullish matches to occur against a downtrend and bearish matches against an uptrend (the classical reading that a reversal candle means more against the trend it's reversing than in the middle of a random chop). Neutral patterns are never filtered by this, since they don't imply a direction.
- Minimum strength — hides matches below a chosen strength percentage.
These filters affect what's drawn on the chart and what feeds the pin/gem tooltips. They do not affect the scanner table, which always shows the library's raw, unfiltered read of the current bar, and they do not affect the per-pattern alerts described below, which fire independently of the visual display settings.
ALERTS
Every pattern has its own alert condition available in TradingView's Create Alert dialog, plus three combined conditions (any bullish pattern, any bearish pattern, any neutral pattern), plus one dynamic alert with a full message listing every pattern that matched, grouped by direction, with each one's measured description and strength.
A NOTE ON REPAINTING
Every box, pin, gem, and alert is gated on the bar actually having closed — nothing here fires or gets drawn off a still-forming bar, regardless of your alert-frequency setting in TradingView's dialog. The one exception is the scanner table, which is deliberately live so it can answer "what's happening on this bar right now" — that's a readout, not a persisted signal, and it's expected to change as the current bar develops.
PART OF A LARGER SERIES
This indicator is the companion to Library #1 of the AxeAlgo Pattern Atlas — a planned set of Pine libraries splitting pattern detection by the method actually used to find each kind of pattern: candlestick shape (this one), classical chart/geometric patterns (Library #2), harmonic Fibonacci-ratio patterns (Library #3), and market-structure concepts (order blocks, liquidity, Wyckoff-style events). Each library has, or will have, its own companion scanner indicator built the same way this one is.
DISCLAIMER
This indicator is a technical analysis tool for identifying classical candlestick shapes in historical and live price data. It does not predict future price movement, and a detected pattern — including its measured strength — is a description of past price action, not a signal guaranteed to repeat. Nothing in this script constitutes financial advice. Always combine pattern recognition with your own risk management and broader analysis before making any trading decision.
インジケーター
Confirmed Structure Transition Map [Pineify]Confirmed Structure Transition Map
Overview
This Pine Script v6 indicator separates confirmed swings, break-of-structure events, and direction candidates. A finite state appears as a stepped price corridor.
Problem Definition
A common baseline finds fractal highs and lows, then labels any crossing BOS or CHoCH. It hides the pivot bar, the later confirmation bar, and the still later break. One level may emit repeated labels, while one counter-break may be called a reversal. Label density replaces a distinction between swing formation, continuation, and transition. This script separates those events and never triggers an earlier break with future information.
Design Rationale
Confirmed pivots provide stable levels; a moving extreme has no fixed identity. Each high and low becomes a one-use rail. A break with the bias is BOS; the first qualified counter-break is only a potential CHoCH. Bias changes after a fresh rail breaks again in that direction. Crossing the frozen opposite rail or age limit cancels the candidate. This rejects immediate reversal on one counter-break. The tradeoff is lag for explicit evidence. ATR scaling filters tiny overruns but does not estimate probability.
Key Features
Optional confirmed HH, LH, HL, and LL labels.
One-use rails that suppress duplicate breaks.
BOS, potential CHoCH, shift, invalidation, and expiry states.
ATR displacement, state corridor, alerts, and dashboard.
How It Works
The script reads chart OHLC and a symmetric pivot window. A pivot is accepted after its right-side bars close. Its price and index are stored, compared with the prior same-type pivot, and armed as a rail. If price already exceeded the required displacement when it became knowable, that rail is consumed without a hindsight event.
Each confirmed bar compares the Close or Wick probe with both rails. Distance beyond a rail is divided by ATR and must meet Minimum Break Displacement. On a two-sided outside bar, the larger normalized wick defines one event. The first event sets bias; a same-direction event is BOS. A counter-event freezes break rail, invalidation rail, displacement, and start bar. Confirmation needs a fresh rail and second break in the candidate direction. Invalidation or expiry ends the candidate. The corridor shows bullish, bearish, pending, or neutral state; early bars stay neutral.
How Multiple Indicators Work Together
This is one dependent state model, not a mashup. Pivot confirmation supplies stable rails; otherwise levels move while tested. ATR displacement separates a tiny overrun from a range-scaled break. The ordered state machine consumes those qualified breaks; otherwise crossings remain a label stream. The corridor encodes the resulting state instead of adding an unrelated signal.
Trading Ideas and Insights
Read BOS as evidence that price cleared a rail with the established bias, not as an entry command. Violet marks a candidate; amber shows why it ended. A wide corridor requires a larger absolute move. Apply separate risk, liquidity, and execution rules: the map does not select stops, size positions, or forecast events.
Unique Aspects
The contribution is an ordered lifecycle. Rails arm only when knowable, each fires once, a counter-break stays provisional, and a second newly armed break is required before bias changes. Invalidation level and age limit freeze at candidate start, so later pivots cannot rewrite the test. One corridor carries bias and transition while labels, wash, bar colors, and table remain optional. This is more than a renamed fractal plot.
How to Use
Begin with Close and default pivots, then check swing density for the market and timeframe. Read rails first: BOS continues state, P-CH opens a candidate, and SHIFT completes the two-break transition. HH/HL locations are revealed after the right-bar delay, not known on their historical bars. Use BOS and shift alerts only within an existing process.
Customization
Pivot Left/Right Bars control granularity and delay: smaller values add noise; larger values add lag. Close requires settlement beyond a rail. Wick uses extremes and resolves outside bars by larger excursion. Minimum Break Displacement sets ATR clearance; Candidate Expiry limits age. Corridor, labels, wash, bar colors, and dashboard are independently configurable.
Assumptions and Limitations
Pivots need future bars for confirmation, so markers appear on pivot bars only after the right-side delay; breaks and shifts remain on confirmation bars. Probes move live, but state and alerts require bar close. ATR and pivot settings are market-sensitive. Gaps can jump rails, Wick mode reduces an outside bar to one event, and chop can repeat candidates. The model reads chart prices, not order flow, news, higher timeframes, or execution quality. A shift is an ordered event, not a guaranteed reversal or profitable trade.
Conclusion
The map turns delayed pivots and breaks into an auditable sequence: location, one-use break, provisional counter-break, then confirmation or invalidation. It provides structural context; interpretation and risk remain with the user.
インジケーター
Khabib Takedown Fractal Nest Breakdown ViprasolKhabib Takedown — Fractal Nest Breakdown 🤼
CONCEPT
This tool looks for SELF-SIMILARITY in a decline: a big bearish leg (lower high -> lower low)
with a smaller bearish leg nested inside it that is a scaled copy — same shape, a fraction of
the size. When the small "fractal" completes in the direction of the big one (a break of the
last low), the structure grounds price -> SHORT. It is a fractal-echo measurement, not a plain
lower-low. The nesting ratio between the small leg and the big leg is the core filter.
HOW IT DETECTS
- Swings are found with confirmed pivot highs/lows (left/right bar lookback) and chained into a
lightweight zigzag.
- The tool reads the last four alternating swings (high, low, high, low).
- Big leg = first high minus first low; small leg = second high minus second low.
- A valid nest requires: lower high and lower low (bearish structure); big leg >= (Min big x ATR);
small leg positive; and the nesting ratio (small/big) inside the band .
- The signal fires when price closes below the most recent swing low and the bar closes red.
- ATR (Wilder) scales the minimum big-leg size across instruments and timeframes.
ENTRY / STOP / TARGET
- Entry: SHORT on the close of the confirming (red) bar that breaks the last low.
- Stop: above the second (inner) swing high plus an ATR buffer (default 0.3 x ATR).
- Target: entry minus R multiple x risk (default 2R, where risk = stop distance).
- The script draws the big leg and the nested small leg, plus filled TP and SL zones that extend
to the right until price touches one of them.
NON-REPAINTING
Pivots are only used once fully confirmed (they require the right-side bars), and the signal is
evaluated on bar close (barstate.isconfirmed). Drawings are created on the confirmed bar. The tool
does not repaint completed signals. Live, the forming bar can still change until it closes, as with
any bar-close tool.
FEATURES
- Fractal nesting (scaled self-similar legs), not a plain lower-low break.
- ATR-scaled minimum big-leg requirement and adjustable nesting-ratio band.
- Automatic R-multiple TP and ATR-buffered SL, drawn as zones that extend until hit.
- One-trade-at-a-time option and a minimum-bars-between-signals gap to reduce clustering.
- On-chart status table (open trades) and an alertcondition for automation.
INPUTS OVERVIEW
- Swing pivot left/right bars: swing sensitivity.
- Nesting ratio band (ratLo/ratHi): how close in scale the small leg must be to the big leg.
- Min big leg (x ATR) and ATR length: minimum move and volatility scaling.
- TP R multiple, SL buffer (x ATR), min bars between signals, one-trade-at-a-time.
- Visual colors, label offset, and zone transparency.
HOW TO USE
1. Add to any liquid symbol and timeframe; start with defaults.
2. Tighten the nesting-ratio band for stricter self-similarity, or widen it for more signals.
3. Raise Min big leg (x ATR) to demand larger, cleaner declines before a nest counts.
4. Use the drawn TP/SL zones for context; set an alert on the signal for hands-off monitoring.
5. Combine with your own trend/context read before acting.
LIMITATIONS
- This is a pattern/education tool, not a signal service, and not financial advice.
- Breakdown patterns fail; nesting geometry is a filter, not a guarantee. Losing signals will occur.
- Pivot confirmation adds inherent lag (it needs bars to the right of a swing to confirm).
- Very choppy or illiquid markets can produce misshapen legs and weak signals.
- Requires user discretion, risk management, and position sizing. No performance is implied.
CREDITS
The name is an inspirational sports homage only; it does not imply any endorsement or affiliation.
ATR uses Wilder's average true range. Pivot/zigzag swing detection uses standard public techniques.
The fractal-nest (scaled self-similar leg) geometry, the detection assembly, and the trade/zone
visualization are original Viprasol work.
Original Viprasol work; no third-party Pine code reused.
インジケーター
Tyson Uppercut Compression Spring Breakout (Viprasol)Tyson Uppercut — Compression Spring Breakout 🥊
(The name is an affectionate combat-sports homage — this is an educational pattern tool, not affiliated with or endorsed by any athlete or organization.)
CONCEPT
A spring loaded by VOLATILITY, not by swings. The tool measures the recent bar-range and requires it to be compressed — noticeably tighter than the window before it (energy coiling). Then the uppercut: one wide-range bar that bursts up out of the compression on the close = the release. Distinct from swing-decay coils; this reads raw range contraction directly from the bars.
HOW IT DETECTS
- Compression is measured on CLOSED bars only: the highest high and lowest low over a window (default 10 bars, offset by one bar).
- That compression range must be tight versus the prior, wider window (default: <= 60% of the range over twice the lookback) AND not larger than a set ATR cap.
- Release: the current bar closes above the compression high, its full bar range is at least a set ATR multiple (default 1.3x ATR), and it closes up (close > open).
- All logic runs on bar close (barstate.isconfirmed). An optional dotted live box previews an active compression before any break.
ENTRY / STOP / TARGET
- Entry: on the confirmed release close (long only).
- Stop: below the compression low, minus an ATR buffer.
- Target: entry + R multiple of risk (default 2R, adjustable).
- Drawn as a solid compression box plus an entry line and filled TP/SL zones that extend right until price touches one; the hit side thickens.
NON-REPAINTING
Compression is read from already-closed bars (a one-bar offset is used), and the release is confirmed on the bar close. A printed signal does not move or disappear afterward. The live dotted preview is informational only and is not a signal.
KEY FEATURES
- Volatility-compression detection from raw range, with an ATR height cap to avoid oversized "boxes".
- Release requires a genuinely wide breakout bar, not just a marginal close.
- Optional live compression preview; option to hide new setups while a trade is active.
- Filled, extend-until-hit TP/SL zones and an on-chart status table (open trades). Alert condition included.
INPUTS OVERVIEW
- The spring: compression window (bars), tightness fraction vs prior window, max compression height (x ATR), release bar range (x ATR), ATR length.
- The knockout: TP as R multiple, SL buffer (x ATR), minimum bars between signals, one-trade-at-a-time, hide-setup-while-in-trade.
- Visuals: compression box / entry / TP / SL colors, label offset, zone transparency, show-live toggle.
HOW TO USE
1. Add to a liquid symbol and timeframe; it is fully overlay-based.
2. Set the compression window and tightness fraction to define how coiled the range must be.
3. Raise the release ATR multiple to demand a stronger breakout bar.
4. Watch the live dotted box to anticipate setups, and study the TP/SL zones on your instrument.
5. Optionally create an alert from the built-in condition.
LIMITATIONS (read this)
- This is a pattern/education tool, not a signal service and not financial advice. It does not predict the future.
- Compression breakouts frequently fail or reverse (false breakouts are common), especially in ranging markets.
- It is long-only by design; it does not trade downside releases.
- Range readings depend on the chosen windows; different settings can materially change what counts as "compressed".
- Results depend heavily on your inputs, instrument, and timeframe. Always use your own risk management and discretion.
CREDITS
ATR uses Wilder's Average True Range. Highest/lowest range measurement uses standard public functions (ta.highest / ta.lowest). The raw-range compression-and-release detection and the trade-zone visualization are original Viprasol design.
Original Viprasol work; no third-party Pine code reused.
インジケーター
Candlestick Edge Auto-Preset MTF Self-CalibratingCandlestick Edge only fires a candlestick pattern when it is "rightly placed" — confirmed by a higher-timeframe trend AND by where price sits in the developing volume profile. Then it does what most pattern tools don't: it forward-tests every signal and reports the MEASURED edge per pattern, so you read realized performance instead of a marketing claim.
WHY THIS IS ONE TOOL (not a bundle)
The parts answer one question about one candle: "is this pattern in a place that has historically paid, and does it beat a coin-flip here?"
PATTERN detection says WHAT printed (24 classic candlestick patterns).
HTF ALIGNMENT says whether the bigger trend agrees.
VOLUME-PROFILE POSITIONING says WHERE it printed — reversals only at value-area edges, naked POC, HVN support/resistance, or liquidity sweeps; continuations only through low-volume voids or on a value breakout.
The CALIBRATION SPINE forward-resolves each signal with a triple barrier and reports Hit% vs a matched Base% (Edge) with a Wilson confidence interval, so a placed-and-confirmed pattern can be told apart from a small-sample fluke.
One pattern substrate, one location read, one calibration spine.
MEASUREMENT (the differentiator)
Each signal opens at close with target = ±TP·ATR, stop = ∓SL·ATR, over a fixed horizon. The first barrier touched decides win/loss (same-bar tie counts as the stop — conservative). Base% is the unconditional same-barrier win-rate for that direction. Edge = Hit% − Base%; a "*" marks rows whose Wilson 95% lower bound clears the base rate. A leave-one-out row prices each filter's marginal contribution, and a footer lists only the patterns that are green AND have enough samples to trust in the current configuration.
AUTO PRESET (default on)
Candlestick edges are timeframe-specific. Auto Preset reads the chart's timeframe and switches on the pattern subset plus higher-timeframe distance that performed best for that timeframe in the author's study of NSE index futures, and forces the two filters on. Turn it OFF for full manual research mode: all 24 patterns selectable, filters and HTF distance (3x / 5x / 15x / custom) under your control. Nothing is ever removed — the preset only curates which patterns are active by default per timeframe.
HOW TO USE
Leave Auto Preset on and read the labelled signals (teal = bullish, red = bearish, each tagged with the pattern name). Open "Show scoreboard" to see measured Edge per pattern — trust the EDGE column and the "*", never a raw hit-rate. Best behaviour is on intraday timeframes (1H and below).
ORIGINALITY
Standard techniques are credited below. What is original is the combination: a location-gated pattern engine whose every signal is forward-calibrated, a timeframe-adaptive auto-preset, a leave-one-out filter attribution, and an auto-surfaced tradeable set — measured edge, not asserted.
NON-REPAINT
Signals open on confirmed bars; triple-barrier outcomes resolve on bars AFTER the trigger; all higher-timeframe / lower-timeframe / prior-day-POC requests use lookahead_off and confirmed intrabars. Pivots used by sweeps confirm first.
DATA & MARKETS
Runs on any symbol that reports volume; the developing profile needs volume to be meaningful. Defaults are tuned for intraday index futures. On the Enhanced data tier the delta read uses intrabar aggregation (richer on paid plans) and auto-falls-back to an OHLCV proxy when intrabars aren't served — safe to leave on for any plan.
CONCEPT CREDITS (methods operationalized — original Pine re-derivations)
Candlestick patterns — Nison; pattern-performance framing per Bulkowski
Market / auction profile, POC / Value Area — Steidlmayer; Dalton
Bulk Volume Classification — Easley, Lopez de Prado & O'Hara (2012)
Triple-barrier labelling — Lopez de Prado
Wilson score interval — Wilson (1927)
HONESTY / LIMITS
The profile is an ATR-binned developing session profile (not tick POC). Delta is an estimate (proxy or intrabar reconstruction), not true bid/ask. Reported edge is context measured on loaded history — not a prediction or a promise. The preset defaults were tuned on one instrument over a recent window, so treat them as a well-measured hypothesis, not proven alpha.
Educational tool. Not financial advice — you alone are responsible for your trading decisions. インジケーター
Bedaiwi's Smart PivotsBedaiwi's Smart Pivots is a three-level market-structure indicator that classifies price turning points as Minor, Intermediate, and Major highs and lows.
HOW IT WORKS
Minor Pivots
A Minor High is confirmed when the middle bar of a three-bar formation has a high that is strictly higher than the highs immediately before and after it.
A Minor Low is confirmed when the middle bar has a low that is strictly lower than the lows immediately before and after it.
Equal highs and equal lows are not treated as Minor pivots.
Intermediate Pivots
Intermediate pivots are derived from confirmed sequences of Minor pivots.
An Intermediate High is identified when a higher Minor High is followed by a lower Minor High.
An Intermediate Low is identified when a lower Minor Low is followed by a higher Minor Low.
Major Pivots
Major pivots apply the same hierarchical logic to confirmed Intermediate pivots.
A Major High is identified when a higher Intermediate High is followed by a lower Intermediate High.
A Major Low is identified when a lower Intermediate Low is followed by a higher Intermediate Low.
SYMBOLS AND COLORS
- Red diamond: Intermediate High
- Green diamond: Intermediate Low
- Red exclamation mark: Major High
- Green exclamation mark: Major Low
Optional Minor pivots use the same High and Low color settings.
When the replacement option is enabled, an Intermediate symbol is removed and replaced with an exclamation mark if the same point is later promoted to Major status.
HISTORICAL PLOTTING AND CONFIRMATION DELAY
Pivot identification requires subsequent price information.
A Minor pivot is confirmed only after the following bar closes. Intermediate and Major pivots require additional confirmed pivot sequences, so their confirmation occurs later.
After confirmation, the indicator places the symbol on the historical bar where the relevant high or low occurred. Therefore, a symbol displayed on an earlier bar was not necessarily available in real time on that bar.
Historical placement is used only to show the actual location of the confirmed turning point. It should not be interpreted as a signal that was known on the historical pivot bar.
SETTINGS
Users can:
- Show or hide Minor pivots
- Show or hide Intermediate pivots
- Show or hide Major pivots
- Replace an Intermediate symbol when it becomes a Major pivot
- Customize High and Low pivot colors
PRACTICAL USE
Smart Pivots can help users:
- Study market structure
- Identify significant historical swing highs and lows
- Separate short-term fluctuations from higher-level price structure
- Review possible support and resistance areas
- Add context to discretionary price-action analysis
LIMITATIONS
Smart Pivots is an analytical indicator. It does not place trading orders and does not define entries, exits, stop-loss levels, profit targets, position sizing, or expected returns.
Pivot confirmation is delayed by design because later price action is required. Results may vary between symbols, timeframes, sessions, and data feeds.
The indicator does not identify final market tops or bottoms with certainty. Historical observations do not guarantee future market behavior.
This script is provided for research and educational purposes only. It is not financial or investment advice. インジケーター
Liquidity Structure Framework [PakunFX]Liquidity Sequence Framework
Liquidity Sequence Framework (LSF) is a market structure analysis indicator designed to visualize the progression of liquidity events, structure shifts, and Fair Value Gaps (FVGs) within a single analytical framework.
Instead of focusing on individual signals, the indicator organizes multiple market events into a sequential process, helping traders observe how price structure develops over time. The script combines swing structure, liquidity sweeps, trend filtering, and Fair Value Gap detection into a unified charting tool.
Features
External and Internal Swing Structure detection
Liquidity Sweep identification (SSL / BSL)
Bullish and Bearish Structure Shift detection
Automatic Fair Value Gap (FVG) detection
EMA-based trend filter
Premium / Discount (Equilibrium) filter
Configurable setup conditions
Visual sequence tracking with alerts
How it Works
The indicator monitors market structure using external and internal swing highs and lows. When liquidity is swept beyond a previous swing level, a new sequence begins. The script then tracks whether price confirms a structure shift and subsequently forms a Fair Value Gap within a configurable sequence window.
Trend filtering can be applied using Fast and Slow EMA conditions, while optional Premium / Discount and Fair Value Gap requirements allow users to customize how potential setups are displayed.
Display Elements
External Swing High / Low
Internal Swing High / Low
Liquidity Sweep markers (SSL / BSL)
Structure Shift markers
Active Fair Value Gap zones
Fast and Slow EMA
Equilibrium level
Setup markers
Alerts
Alerts are available for:
Liquidity Sweep
Bullish Structure Shift
Bearish Structure Shift
Bullish Sequence Setup
Bearish Sequence Setup
These alerts are intended to notify users when predefined analytical conditions are detected.
Notes
Liquidity Sequence Framework is designed as a market analysis tool. It visualizes structural relationships between liquidity events and price development but does not generate trading recommendations or predict future market direction.
Disclaimer
This script is provided for educational and research purposes only.
All calculations are based on historical price data. The displayed structures, Fair Value Gaps, and sequence conditions are intended to support chart analysis and should not be interpreted as guarantees of future market behavior or trading performance.
インジケーター
Rejection Block Matrix [ZOM]Rejection Block Matrix maps supply and demand rejection blocks from failed swing sweeps and confirmed pivot wick rejection.
What it shows:
- Demand and supply blocks built from wick/body rejection structure
- Failed high/low sweep blocks for tape-reading style reversal context
- Tested and broken block state tracking, with broken context hidden by default to reduce clutter
- Reclaim/rejection marks when price retests a live block
- A compact dashboard showing visible demand/supply blocks, tested count, latest source, bias, and quality
How I use it:
The blocks are structure zones, not automatic entries. I use them to see where price rejected prior liquidity, then watch how later candles behave when they revisit those blocks. It is especially useful on liquid intraday markets such as ES, NQ, crypto, and major FX pairs.
Open-source script. Educational tool only; not financial advice. インジケーター
Liquidity Vault [Dojo La Nuit]Liquidity Vault maps resting liquidity on your chart as clean horizontal levels and tracks what happens to them — without any buy/sell signals or predictions. It is a pure visualization tool for traders who read price around liquidity.
HOW IT WORKS
The script detects swing pivots and clusters nearby highs (and nearby lows) into single liquidity zones using an ATR-based tolerance, so the levels travel across instruments without re-tuning. Each zone gets a strength score from 0 to 100 built from three factors:
• Touches — how many times price reacted at the level
• Freshness — recent levels score higher and decay over time (configurable half-life)
• Volume — relative volume that accumulated at the level
HOW TO READ IT
• Red lines = sell-side liquidity (resting above price)
• Green lines = buy-side liquidity (resting below price)
• Opacity = strength: the stronger the zone, the more solid the line
• Dimmed, dotted lines = zones that have already been swept (price wicked through the level). They are kept as context, not removed.
SETTINGS
• Zone Detection — adaptive or fixed pivot length, clustering tolerance, lookback, max live zones
• Zone Strength — minimum score to display, freshness half-life, volume weighting on/off
• Visuals — theme (auto/dark/light), strength-based intensity, keep swept zones, line width
• Colors — fully customizable buy-side / sell-side colors
NOTES
Strength is shown through line opacity by design, to keep the chart minimal. Zones are recalculated on confirmed bars. This tool highlights where liquidity rests and when it gets taken — it does not generate entries, targets or signals.
This indicator is for educational and analytical purposes only. It is not financial advice. Always do your own research and manage your own risk.
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🌙 LIQUIDITY VAULT — Dojo La Nuit
Liquidity Vault mostra la liquidità presente sul grafico come livelli orizzontali puliti e ne traccia l'evoluzione, senza segnali di acquisto/vendita e senza previsioni. È uno strumento puramente visivo per chi opera attorno alla liquidità.
COME FUNZIONA
Lo script individua i pivot di mercato e raggruppa i massimi (e i minimi) vicini in un'unica zona di liquidità tramite una tolleranza basata sull'ATR, così i livelli funzionano su strumenti diversi senza dover ritoccare i parametri. A ogni zona viene assegnato un punteggio di forza da 0 a 100, calcolato su tre fattori:
• Tocchi — quante volte il prezzo ha reagito al livello
• Freschezza — i livelli recenti pesano di più e si attenuano nel tempo (half-life configurabile)
• Volume — il volume relativo accumulato sul livello
COME SI LEGGE
• Linee rosse = liquidità sell-side (sopra il prezzo)
• Linee verdi = liquidità buy-side (sotto il prezzo)
• Opacità = forza: più la zona è forte, più la linea è piena
• Linee attenuate e puntinate = zone già spazzate (il prezzo ha bucato il livello con un'ombra). Restano come contesto, non vengono rimosse.
IMPOSTAZIONI
• Rilevamento zone — pivot adattivo o fisso, tolleranza di clustering, lookback, numero massimo di zone attive
• Forza zone — punteggio minimo da mostrare, half-life della freschezza, peso del volume on/off
• Visual — tema (auto/scuro/chiaro), intensità in base alla forza, mantieni zone spazzate, spessore linea
• Colori — colori buy-side / sell-side completamente personalizzabili
NOTE
La forza è rappresentata tramite l'opacità della linea, per scelta, per mantenere il grafico minimale. Le zone vengono ricalcolate sulle barre confermate. Lo strumento evidenzia dove si trova la liquidità e quando viene presa: non genera entrate, target o segnali.
Questo indicatore è a scopo puramente didattico e di analisi. Non è consulenza finanziaria. Fai sempre le tue valutazioni e gestisci il tuo rischio. インジケーター
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 TradingView 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.
インジケーター
SXA: Super Xtation Amplitude | MTF FrameworkSXA (Super Xtation Amplitude) is a multi-timeframe market positioning framework designed to provide a complete visual overview of price location within the broader market structure.
Rather than focusing on entry signals, SXA combines trend context, volatility, session activity, anchored VWAPs, prior-day reference levels, Fibonacci projections, and higher-timeframe moving averages into a single environment. The objective is to help traders understand where price is currently trading relative to statistically and structurally significant areas.
The indicator was built around a simple principle:
"Price behaves differently depending on where it is located within the market."
By integrating multiple forms of context into one view, SXA allows traders to quickly identify premium and discount zones, trend alignment, session-driven liquidity areas, and potential reaction levels without switching between multiple indicators.
FEATURES
• Smart Trend Engine
Multi-timeframe moving average framework designed to visualize short, intermediate, and macro directional bias.
• Dynamic Trend Clouds
Visual cloud structures help identify trend alignment and potential transition zones between bullish and bearish conditions.
• Higher Timeframe Context
Daily 50 SMA and 200 SMA provide broader market structure and long-term directional references.
• Prior Day Reference Levels
Automatic plotting of previous day's Open, High, Low, and Close.
• Fibonacci Expansion Grid
Extended Fibonacci projections derived from the previous day's range to identify potential reaction zones and liquidity targets.
• Anchored Session VWAPs
Includes:
* Daily VWAP
* European Session VWAP
* Pre-New York VWAP
* New York Session VWAP
* Post-European Session VWAP
These levels provide institutional-style references for price acceptance and value.
• Weekly Structure Levels
Dynamic weekly Open, High, and Low levels update in real time throughout the trading week.
• Session Mapping
Visual session boxes highlight important market periods, including the Asian session and Pre-New York range.
INTENDED USE
SXA is designed as a contextual decision-support tool rather than a standalone trading system.
The indicator can be used to:
* Assess overall market positioning.
* Identify trend alignment across multiple timeframes.
* Locate potential support and resistance zones.
* Track session-driven liquidity.
* Monitor volatility expansion and contraction.
* Build discretionary trade narratives.
* Enhance existing trading systems.
SXA does not generate buy or sell recommendations. Instead, it seeks to answer a more fundamental question:
"Where is price currently located within the broader market landscape?"
By providing that context at a glance, traders can make more informed decisions while reducing chart clutter and indicator overload.
Created by @Peter_n_n
インジケーター
Smart Money Sentiment Index [MarkitTick]💡A comprehensive analytical tool designed to bridge the gap between underlying market psychology and structural price action. By synthesizing a multi-dimensional sentiment oscillator with an advanced market structure mapping system, this indicator provides a holistic view of market dynamics. It is engineered to identify periods of psychological exhaustion—where market participants exhibit extreme fear or greed—and cross-reference these anomalies with significant shifts in supply and demand. This confluence allows for a highly disciplined approach to navigating volatile environments, ensuring that structural analysis is always contextualized by prevailing market sentiment.
✨ Originality and Utility
Traditional oscillators typically isolate a single variable, such as momentum or volume, which often leads to diverging signals during complex market phases. Furthermore, structural mapping tools operate strictly on price geometry without considering the behavioral state of the market. This tool is highly original because it resolves this disconnect. It operates as a strategic mashup, justifying the combination of sentiment analysis and structure mapping by positing that structural breaks are significantly more reliable when they align with behavioral extremes. By unifying these two previously disparate analytical frameworks, the indicator filters out structural noise that occurs in neutral psychological zones, delivering a refined perspective on market conditions.
🔬 Methodology and Concepts
The underlying methodology relies on a dual-engine architecture, carefully abstracted to maintain calculation integrity and protect core logic.
• The Sentiment Engine
The sentiment component processes multiple parallel vectors of market data. It continually assesses momentum differentials, volatility compression and expansion, volume participation intensity, and relative positioning. These vectors are mathematically normalized and aggregated into a singular composite score ranging from zero to one hundred. This raw composite is then passed through a dynamic smoothing algorithm to filter out erratic tick-level noise, resulting in a stable primary sentiment value. A secondary signal line is derived from this primary value to calculate momentum convergence and divergence, effectively anticipating shifts in behavioral trends before they fully materialize.
• The Structural Engine
Operating concurrently, the structural engine performs rigorous swing analysis. It continuously scans historical price action to identify confirmed pivot highs and pivot lows based on user-defined parameters. When price action eclipses these pivotal nodes, the engine mathematically categorizes the event as either a continuation of structure or a fundamental shift in character. Upon confirmation of these structural shifts, the engine projects dynamic support and resistance zones, tracking their mitigation status in real-time to visualize areas of untested liquidity.
🎨 Visual Guide
The visual presentation is meticulously designed to present complex data hierarchies without obscuring price action.
• The Oscillator Pane
The primary sentiment line oscillates between 0 and 100, plotted prominently to reflect current market psychology.
A secondary, semi-transparent signal line tracks the primary sentiment, providing a visual cue for momentum crossovers.
Horizontal reference levels establish the baseline neutral zone (50), as well as the thresholds for extreme greed and extreme fear.
The background of the oscillator pane dynamically illuminates with deeply saturated hues when the sentiment breaches the outermost extremes, providing immediate visual notification of exhaustion.
• Chart Elements and Overlays
Price candles feature dynamic color gradients that transition from deep red to vibrant green, providing a bar-by-bar heatmap of the underlying sentiment.
Dashed horizontal lines project across the chart to mark significant structural breaks, accompanied by precise text labels denoting the nature of the break.
Translucent rectangular zones are drawn at the origin points of structural breaks, visually representing active areas of interest.
The color coding of these zones shifts to a muted, darker shade once price successfully retests and mitigates the area, allowing the user to distinguish between fresh and exhausted liquidity.
• The Analytics Dashboard
A highly structured table anchors to the chart, displaying real-time metrics:
FGI Value : The exact numerical sentiment score paired with a visual magnitude bar.
Signal Value : The smoothed momentum score.
Momentum Gap : Calculates the absolute distance between the sentiment and signal lines, indicating whether the psychological momentum is expanding or narrowing.
Bias Regime : Classifies the broader environment as rising or extreme within the context of fear or greed.
Zone Status : Explicitly warns when the market enters extreme threshold boundaries.
Zero Cross Age : A bar-counting mechanism that tracks the duration since the sentiment last crossed the neutral baseline.
Market Structure : Displays the current prevailing structural trend confirmed by the SMC engine.
📖 How to Use
This tool is designed to foster a systematic approach to market analysis, utilizing confluence to filter high-probability environments.
Identify Behavioral Exhaustion : Monitor the sentiment oscillator and the analytics dashboard. When the market enters the extreme greed or extreme fear background zones, recognize that the prevailing trend is highly saturated and susceptible to mean reversion.
Wait for Structural Confirmation : Do not act solely on sentiment extremes. Wait for the structural engine to print a confirmed shift in character on the chart.
Assess the Momentum Gap : Consult the dashboard to ensure the momentum gap is expanding in the direction of the new structural shift, validating that market psychology supports the technical breakout.
Define Invalidation : Utilize the freshly generated, unmitigated order block zones as logical areas to define risk parameters and structural invalidation points.
⚙️ Inputs and Settings
The indicator provides extensive configurability to adapt to various market environments.
• Sentiment Parameters
FGI Period : Dictates the lookback window for the core sentiment vectors. Shorter lengths increase sensitivity, while longer lengths identify macro psychological shifts.
Signal Line Period : Adjusts the smoothing factor for the secondary momentum tracker.
Overbought/Oversold Levels : Allows the user to define the exact numerical thresholds that trigger the extreme background zones and alerts.
• Visual and Dashboard Configurations
Color Price Candles : Toggles the sentiment-based gradient coloring on the main chart candles.
Dashboard Settings : Provides options to customize the background and text colors of the analytics panel for optimal visibility.
• Structural Settings
Swing Length : Determines the number of bars required to confirm a valid structural pivot point.
Enable SMC Overlay : A master toggle for the structural lines and zone boxes.
Track/Hide Mitigation : Configures how the indicator handles zones once they have been retested by price, offering the option to either recolor them or remove them entirely to keep the chart clean.
• Alert Conditions
FGI crosses Zero : Generates a notification when sentiment flips across the neutral 50 baseline.
OB/OS Level Breach : Triggers a warning precisely when the market enters the predefined extreme psychological zones.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this indicator is deeply rooted in the principles of behavioral finance and auction market theory. Traditional quantitative finance assumes rational actors operating in an efficient market; however, empirical evidence demonstrates that markets are frequently driven by cognitive biases, leading to periods of irrational exuberance (greed) and unwarranted panic (fear).
The sentiment engine models this behavioral distribution by capturing standard deviations in volatility and momentum, mapping the data onto a normalized sigmoid-like curve. This quantifies the exact degree of psychological saturation. When a market reaches the tail ends of this distribution, the probability of mean reversion increases exponentially due to the exhaustion of marginal buyers or sellers.
Simultaneously, the structural engine maps these psychological states onto the physical mechanics of order flow. Breakouts and structural shifts that occur during neutral sentiment phases are often the result of standard liquidity provision and algorithmic execution. However, structural breaks that trigger concurrently with extreme sentiment readings mathematically validate a macro shift in participant behavior. By tracking the origin points of these shifts (order blocks), the indicator highlights the exact price vectors where institutional and large-scale participants initiated the phase transition, offering a rigorous, data-driven framework for anticipating future supply and demand imbalances.
⚠️ 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. インジケーター
インジケーター
Elaris FVG Inversion ProElaris FVG Inversion Pro
Advanced Fair Value Gap & Inversion Mapping System
Elaris FVG Inversion Pro is a professional-grade market structure and imbalance visualization tool designed to help traders identify fair value gaps (FVGs), inversion fair value gaps (IFVGs), and potential reaction zones directly on the chart.
The indicator focuses on price inefficiencies created by aggressive directional movement and highlights areas where price may revisit, react, continue, or reverse.
Instead of displaying excessive noise, the system uses smart filtering logic, mitigation tracking, and optional trend confirmation to provide a cleaner and more structured view of market imbalance behavior.
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Core Features
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• Bullish & Bearish Fair Value Gap Detection
Automatically identifies three-candle imbalance structures in real time.
• Inversion Fair Value Gaps (IFVG)
Detects when previously established imbalance zones transition into potential reversal zones after invalidation.
• Non-Repainting Confirmed Detection
Signals and zones can be confirmed only after candle close to maintain stable historical plotting.
• Smart Gap Filtering
Optional ATR, volume, and EMA trend filters help reduce low-quality or insignificant zones.
• Dynamic Zone Management
Zones automatically extend forward and can be configured to expire or hide after mitigation.
• Mitigation Tracking
Supports multiple mitigation models including:
* Proximal
* Midpoint (50%)
* Distal
• Quality Scoring System
Each zone is evaluated using volatility and structure-based conditions to help prioritize stronger imbalances.
• Dark & Light Mode Compatible
Designed for clean visibility across different TradingView chart themes.
• Professional Dashboard
Displays active bullish, bearish, and inversion zones along with trend-state information.
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How It Works
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Bullish FVG:
Forms when price leaves an upside imbalance between candles, potentially creating a future demand area.
Bearish FVG:
Forms when price leaves a downside imbalance, potentially acting as future supply.
IFVG:
Occurs when price invalidates an existing FVG and the zone transitions into a potential reversal area.
The indicator can be used for:
* Trend continuation setups
* Pullback entries
* Liquidity-based reactions
* Market structure analysis
* Confluence with support/resistance or liquidity concepts
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Best Practices
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Higher timeframe FVGs generally produce stronger reactions than lower timeframe gaps.
Using the optional EMA and volume filters may help improve signal quality during volatile or choppy market conditions.
For confirmation-based trading approaches, combine FVG reactions with structure breaks, momentum shifts, or liquidity sweeps.
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Notes
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This indicator is intended for technical analysis and educational purposes.
No indicator guarantees future performance, and traders should always apply proper risk management and independent confirmation before making trading decisions.
インジケーター
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 TradingView 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.
インジケーター
Exhaustion Fuel Gauge [AGPro Series]Exhaustion Fuel Gauge
🧠 Core Idea
Is the current move still powered by real participation, or is the trend running on exhausted fuel?
📌 Overview / What it does
Exhaustion Fuel Gauge is a premium TradingView overlay that evaluates trend fuel, participation strength, extension pressure, wick reaction, and momentum efficiency to map whether a directional move is still active, fading, or entering exhaustion territory.
The script produces a forward-projected fuel zone, compact state labels, current context tags, and an AGPro-style panel that summarizes the active gauge state. It is designed to help users read whether a move has enough internal fuel to continue or whether the chart is showing signs of weakening participation and exhaustion risk.
It does not predict price direction, automate trades, or provide guaranteed signals. It is a visual decision-support map for market context.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between simple momentum indicators and real chart context. Many tools show whether price is moving fast, but they do not clearly explain whether the move still has fuel or whether the movement is becoming fragile.
Exhaustion Fuel Gauge helps discretionary traders, swing traders, intraday traders, and market-structure readers evaluate the quality of a move before overreacting to a single candle.
The design philosophy is simple: trend continuation should be judged by fuel, participation, efficiency, and reaction quality together.
⚡ Why This Script Is Different
Most tools focus on overbought or oversold readings.
This script does NOT treat exhaustion as a single oscillator value or a generic reversal signal.
Instead, it combines directional persistence, participation strength, range behavior, move efficiency, wick pressure, and extension risk into a clean overlay that explains whether the current move still has usable fuel.
⚙️ Methodology
1. Context Detection
The script identifies the active directional context using recent price movement and trend baseline behavior.
2. Fuel Evaluation
It measures persistence, participation, range expansion, and efficiency to estimate how much usable fuel remains in the move.
3. Exhaustion Risk Mapping
It evaluates extension, fuel fade, wick pressure, and participation fade to estimate whether the move is becoming vulnerable.
4. Visual Output
The script displays a forward-projected fuel zone, event labels, right-side context tags, and a structured AGPro panel.
🗺️ How to Read the Chart
Zones represent the current fuel reference area where the active move should be evaluated.
Labels mark important changes such as fuel activation, fuel fading, exhaustion watch, exhaustion hit, or reset build.
Colors represent state context:
• Green = active fuel
• Pink = exhaustion risk or exhaustion hit
• Yellow = caution / watch state
• Indigo = fading or reset context
The panel summarizes the current gauge state, direction, fuel score, exhaustion risk, participation, extension, and next context.
🚦 Signals & States
• FUEL ACTIVE → directional move still has usable internal fuel
• FUEL FADING → move is still present, but internal support is weakening
• EXHAUSTION WATCH → extension and reaction pressure are elevated
• EXHAUSTION HIT → exhaustion evidence is strong and fuel has weakened
• RESET BUILD → no clean directional fuel is currently confirmed
🔔 Alerts Logic
Alerts trigger when the script detects a new fuel-active state, fuel-fading state, exhaustion-watch state, exhaustion-hit state, or reset-build state.
Alerts are attention markers only. They are not trade instructions and should not be interpreted as guaranteed outcomes.
🧩 Confluence Logic
The strongest exhaustion context appears when extension pressure, participation fade, wick reaction, and weak fuel score align.
The strongest continuation context appears when fuel score remains high while exhaustion risk stays contained.
📊 When to Use
• Trending markets where continuation quality matters
• Extended moves where exhaustion risk needs to be evaluated
• Breakout follow-through analysis
• Swing-trading context review
• Intraday movement quality checks
⚠️ When NOT to Use
• Extremely low-liquidity markets
• Randomly choppy symbols with poor structure
• News spikes where normal participation behavior is distorted
• Very low timeframes with excessive noise
🎛️ Key Inputs
• Trend Length → adjusts the baseline used to define directional context
• Fuel Lookback → controls how many bars are used for fuel evaluation
• Exhaustion Threshold → adjusts how strict exhaustion detection is
• Fuel Fade Threshold → defines when a move is considered fuel-fading
• Zone Projection Bars → keeps the active zone visible for publication screenshots
• Panel and label settings → control visual readability
🖥️ Interface & Visual Design
The interface is built for quick visual interpretation.
The panel provides structured context without dominating the chart. The fuel zone gives the main story visually, while compact labels and right-side tags provide the current state without clutter.
The goal is a premium, publication-ready TradingView chart.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Check whether fuel is active, fading, or exhausted.
3. Observe the active fuel zone and current right-side tags.
4. Compare exhaustion risk with participation and extension.
5. Use broader market structure before making any decision.
🔍 Interpretation Guidelines
High fuel with low exhaustion risk suggests the move still has internal support.
High exhaustion risk with weak fuel suggests the move may be vulnerable to reaction or reset.
Fuel fading does not mean reversal. It means continuation quality is weakening.
Exhaustion hit does not guarantee a top or bottom. It marks a context that deserves caution.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not provide guaranteed buy or sell signals.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
The script is rule-based and depends on market conditions.
Different timeframes may produce different readings.
Volatility, liquidity, gaps, and news-driven moves may affect signal quality.
Outputs should always be interpreted with broader market context.
🧠 Market Context Notes
Exhaustion is not only about price distance.
It also depends on whether participation remains strong, whether candles still close efficiently, and whether wick pressure begins to appear against the current direction.
This script is designed to make those conditions easier to read visually.
🧾 Use Case Examples
When price extends strongly but fuel remains high and exhaustion risk is contained, the move may still have continuation quality.
When price extends while participation fades and wick pressure increases, the chart may be entering exhaustion-watch territory.
When exhaustion risk rises while fuel drops, the context becomes more fragile.
🧱 System Philosophy
AGPro Series tools are designed as professional visual maps, not signal machines.
The goal is to make complex market context easier to interpret without reducing it to a simplistic buy or sell label.
🔐 Non-Promise Statement
No script can guarantee future price movement.
This tool provides structured context, not certainty.
📉 Risk Disclosure
Trading involves risk.
Past behavior does not guarantee future results.
Users are responsible for their own decisions, position sizing, and risk management.
This script does not provide financial advice.
📚 Educational Note
Use this script as a learning and analysis tool to better understand momentum quality, trend fuel, and exhaustion behavior across different market conditions.
インジケーター
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.
インジケーター
Candle Intent Map [AGPro Series]Candle Intent Map
🧠 Core Idea
Does this candle show initiative, absorption, rejection, indecision, or a real shift in intent?
📌 Overview / What it does
Candle Intent Map is a candle behavior and market reaction tool designed to read the internal message of price candles beyond simple bullish or bearish color.
The script evaluates body pressure, wick reaction, close location, volume context, short follow-through, and recent intent changes to classify whether the market is showing initiative, absorption, rejection, indecision, or an intent shift.
It produces compact labels, a visible intent pressure zone, right-side context tags, and a clean AG Pro panel. It does not predict price, automate decisions, or promise that a candle pattern will continue.
🎯 Purpose & Design Philosophy
This script was built because many candlestick tools stop at basic pattern recognition.
A candle is not only a shape. It is a relationship between body commitment, wick reaction, volume participation, close location, and what happens immediately after that candle forms.
Candle Intent Map helps traders who want to read candle quality, initiative pressure, reaction zones, and follow-through context without turning the chart into a crowded pattern scanner.
⚡ Why This Script Is Different
Most candle tools focus on named formations such as engulfing candles, pin bars, doji candles, or simple color changes.
This script does NOT treat every candle pattern as an automatic signal.
Instead, it studies whether the candle has enough internal pressure, reaction quality, volume context, and follow-through to deserve attention.
The goal is not to label more candles. The goal is to label the candles that tell a clearer market story.
⚙️ Methodology
1. Context Detection
The script measures body-to-range ratio, upper wick pressure, lower wick pressure, close location, and relative volume participation.
2. Intent Classification
Candles are classified into initiative, absorption, rejection, indecision, or intent shift conditions based on body pressure, wick behavior, and directional commitment.
3. Reaction Evaluation
The script builds a reaction-quality score using body strength, wick reaction, close placement, volume context, and short follow-through behavior.
4. Visual Output
The strongest current candle intent context is mapped as a visible intent zone, compact event labels, right-side state tags, and a structured AG Pro panel.
🗺️ How to Read the Chart
Zones represent the most recent candle intent pressure area.
Labels show important candle intent events such as bullish intent, bearish intent, absorption, rejection, indecision, or intent shift.
Colors separate constructive pressure, defensive pressure, neutral reaction, and absorption-style behavior.
The panel summarizes current intent, direction, body pressure, wick reaction, follow-through, quality score, and next context.
🚦 Signals & States
• BULL INTENT → bullish body pressure with meaningful close location and participation
• BEAR INTENT → bearish body pressure with meaningful close location and participation
• ABSORPTION → strong reaction behavior with compressed body and meaningful volume
• LOWER REJECT → lower wick reaction suggesting downside rejection
• UPPER REJECT → upper wick reaction suggesting upside rejection
• INDECISION → low body commitment with balanced wick behavior
• INTENT SHIFT → recent candle intent changes direction with enough pressure to matter
🔔 Alerts Logic
Alerts trigger when the script detects bullish candle intent, bearish candle intent, candle absorption, or candle intent shift.
These alerts are attention markers only. They highlight a candle context that may deserve review, not a trade instruction.
🧩 Confluence Logic
The strongest context appears when candle body pressure, wick reaction, close location, volume participation, and follow-through point in the same direction.
When these components align, the candle intent quality score becomes stronger.
📊 When to Use
• During active trend continuation phases
• Around reaction zones and pullback areas
• Near support, resistance, VWAP, or liquidity references
• When evaluating whether a candle has real participation behind it
• When comparing initiative candles against absorption or rejection candles
⚠️ When NOT to Use
• Extremely illiquid markets
• Very noisy low-timeframe environments
• News-driven candles with abnormal spreads
• Symbols with unreliable volume data
• Situations where broader market context is ignored
🎛️ Key Inputs
• Volume Context Length → controls the relative volume comparison window
• Follow-Through Length → controls how short-term continuation is measured
• Initiative Body Ratio → changes how strict the initiative candle filter is
• Reaction Wick Ratio → changes how strict wick-based rejection and absorption filters are
• Visible Zone Bars → controls how much of the recent chart the intent zone covers
• Label and Panel Font Size → controls visual readability
🖥️ Interface & Visual Design
The interface is designed to stay clean, readable, and publication-friendly.
The chart focuses on one main intent zone, compact event labels, right-side context tags, and a structured panel.
The visual hierarchy is intentional: zone first, current state second, historical intent events third.
🧪 Practical Usage Workflow
1. Read the panel to understand the current candle intent state
2. Check the intent zone and its position relative to price
3. Review recent labels to understand whether initiative, absorption, or rejection has dominated
4. Compare the quality score with current follow-through
5. Interpret the output inside broader market context
🔍 Interpretation Guidelines
A strong intent label does not mean price must continue.
A rejection label does not mean reversal is guaranteed.
An absorption label means the candle structure showed reaction and participation, but confirmation still depends on the following market behavior.
The best interpretation comes from combining candle intent with structure, liquidity, volatility, and timeframe context.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed buy or sell signals.
It does not replace risk management or independent analysis.
⚠️ Limitations & Transparency
Candlestick interpretation changes across timeframes.
Volume quality may differ between markets and exchanges.
Fast volatility expansion can make recent candle intent less stable.
Low-liquidity conditions may create misleading wick or body readings.
Users should always interpret outputs within broader market context.
🧠 Market Context Notes
Candle intent is most useful when combined with structure, liquidity, trend quality, volatility, and acceptance behavior.
One candle rarely tells the whole story. The value comes from understanding whether candle pressure is supported or rejected by what comes next.
🧾 Use Case Examples
When price reaches a known support area and the script prints a lower rejection label with improving quality, the trader can study whether downside pressure is being rejected.
When a strong body candle prints with high quality and follow-through, the trader can evaluate whether initiative pressure is entering the market.
When absorption appears inside a range, the trader can watch whether trapped pressure develops or fades.
🧱 System Philosophy
Candle Intent Map is part of the AGPro Series approach: clean visual tools that focus on market context, reaction quality, and decision support rather than prediction claims.
The script is designed to make candle behavior easier to read while keeping the trader responsible for interpretation.
🔐 Non-Promise Statement
No script can know the future.
No candle label guarantees continuation or reversal.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Market conditions can change quickly.
All decisions remain the responsibility of the user.
This script does not provide financial advice or guaranteed trading outcomes.
📚 Educational Note
Use this script as an educational and analytical companion for studying candle behavior, reaction quality, and short-term intent context.
インジケーター
Failed Continuation Trap Map [AGPro Series]Failed Continuation Trap Map
🧠 Core Idea
Did a continuation attempt fail strongly enough to trap traders and create pressure in the opposite direction?
📌 Overview / What it does
Failed Continuation Trap Map is a rule-based price-action and market-structure visualization tool designed to study failed continuation attempts.
The script identifies trend-aligned continuation attempts, maps the attempted breakout zone, evaluates whether the move fails back through that zone, and highlights when trapped longs or trapped shorts may create opposite pressure.
It does not predict reversals, automate trades, or guarantee that a failed continuation will produce follow-through. It is a structured decision-support map for continuation failure, trap behavior, and opposite-pressure context.
🎯 Purpose & Design Philosophy
Many breakout and continuation tools focus on whether price moved beyond a level.
This script was built to answer a more selective question:
Did the continuation attempt fail in a way that changes the market narrative?
The design goal is to help traders read failed continuation as a trap context instead of treating every rejection as a reversal signal.
⚡ Why This Script Is Different
Most tools focus on breakouts, pullbacks, continuation signals, or reversal labels.
This script does NOT label every failed move as a trap.
Instead, it waits for a trend-aligned continuation attempt, tracks the attempt zone, evaluates failure quality, maps the trap pocket, and checks whether opposite pressure confirms after trapped participants are created.
⚙️ Methodology
1. Continuation Bias Detection
The script uses fast and slow EMAs to define the active continuation bias.
2. Attempt Mapping
When price attempts continuation beyond recent structure, the script records the attempt level and builds an attempt zone.
3. Failure Evaluation
After the attempt, the script watches a defined failure window to detect rejection back through the attempt level.
4. Trap and Pressure Scoring
Trap quality uses rejection wick behavior, relative volume, and failure timing.
5. Visual Output
The chart displays the attempt zone, trap pocket, opposite-pressure rail, centered trap label, event labels, right-side tags, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Attempt Zone = the area around the continuation level where breakout or continuation participants may enter.
Trap Pocket = the area where failed continuation can create trapped participants.
Opposite-Pressure Rail = the level used to read whether the failed continuation is turning into stronger pressure against the attempt.
Centered Trap Label = the main visual anchor inside the active trap pocket.
Event Labels = compact labels for attempts, long traps, short traps, and pressure confirmation.
Right-Side Tags = current trap state, attempt level, and pressure quality.
Panel = summarizes trap state, attempt type, trapped side, trap quality, pressure quality, next context, and timeframe.
🚦 Signals & States
• ATTEMPT ACTIVE → price attempted continuation and is still inside the failure evaluation window.
• TRAP ACTIVE → the continuation attempt failed back through the attempt level.
• OPPOSITE PRESSURE → price confirmed pressure away from the failed continuation attempt.
• CONTINUATION HOLD → the attempt is holding beyond the continuation zone.
• ATTEMPT EXPIRED → the attempt did not create a timely failure or pressure signal.
• WAIT ATTEMPT → no valid continuation attempt is active.
🔔 Alerts Logic
Alerts trigger when a major continuation-failure state appears.
• Continuation Attempt → price attempted continuation beyond recent structure.
• Failed Continuation Trap → continuation attempt failed back through the attempt zone with trap quality.
• Opposite Pressure Confirmed → opposite pressure confirmed after a failed continuation attempt.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• Continuation bias is clear
• Price attempts continuation beyond recent structure
• The attempt fails back through the zone quickly
• Rejection wick quality is strong
• Relative volume supports participation
• Opposite-pressure rail confirms after the trap
• The panel state agrees with the chart labels
If these elements do not align, the script avoids forcing a trap interpretation.
📊 When to Use
• Breakout failure analysis
• Failed continuation review
• Trend continuation trap studies
• Intraday and swing market-structure analysis
• Crypto, forex, stocks, and index markets
• 1H, 4H, and daily charts
• Markets where continuation attempts are common and readable
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely sideways markets with no continuation bias
• News-driven candles that distort rejection quality
• Ultra-low timeframes with excessive noise
• Markets where recent structure is too compressed to define a clean attempt zone
• Situations where a single failed attempt should not be treated as a standalone decision
🎛️ Key Inputs
• Fast EMA Length → defines the faster continuation-bias component.
• Slow EMA Length → confirms the broader continuation direction.
• ATR Length → normalizes attempt zones, trap pockets, labels, and failure levels.
• Continuation Breakout Lookback → defines recent structure used to identify continuation attempts.
• Failure Evaluation Window → controls how long after an attempt the script can classify failure.
• Attempt Zone ATR → controls the thickness of the continuation attempt zone.
• Trap Wick Threshold → defines how much rejection quality is needed before a failure becomes trap context.
• Use Volume Confirmation → adds relative volume to trap-quality scoring.
• Projection Bars → controls how far zones, rails, and right-side tags project.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the failed-continuation story.
The attempt zone shows where continuation was attempted.
The trap pocket shows where trapped participants may become part of the next narrative.
The opposite-pressure rail gives a clean reference for pressure confirmation.
The centered badge keeps the active trap context readable at first glance.
The AG Pro panel summarizes the current trap state without forcing the user to decode every element manually.
🧪 Practical Usage Workflow
1. Let the script identify the active continuation bias.
2. Watch for an attempt beyond recent structure.
3. Check whether the attempt holds or fails back through the zone.
4. If trap context appears, watch the opposite-pressure rail.
5. Use the panel to confirm trap state, trapped side, and quality scores.
6. Interpret the output inside broader trend, liquidity, volatility, and support/resistance context.
🔍 Interpretation Guidelines
A continuation attempt does not guarantee follow-through. It means price attempted to move beyond recent structure in the trend direction.
A trap active state does not guarantee reversal. It means the continuation attempt failed back through the attempt zone with enough quality to deserve attention.
Opposite pressure does not guarantee trend change. It means trapped participants may be adding pressure against the attempted continuation.
The strongest readings occur when trap state, pressure rail, and broader market context align.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a generic breakout indicator.
It is not a simple reversal marker.
⚠️ Limitations & Transparency
EMA bias can lag during fast reversals.
Failure windows may miss slow-developing traps.
Low-liquidity markets can produce misleading wick behavior.
High volatility can make attempt zones wider or less stable.
Timeframe differences can change how continuation attempts appear.
The script is designed for structured interpretation, not certainty.
🧠 Market Context Notes
Failed continuation traps often matter most when traders are leaning heavily in one direction and price fails to reward that pressure.
The same failed attempt can have different meaning in a strong trend, range, liquidity sweep, or volatility shock.
The script should be read together with broader structure, volume, liquidity, and trend context.
🧾 Use Case Examples
• If price attempts upside continuation and then closes back below the attempt level with a strong upper wick, the script may show long-trap context.
• If price attempts downside continuation and then rejects back above the attempt level, the script may show short-trap context.
• If price continues beyond the pressure rail after a trap, the script may show opposite-pressure confirmation.
🧱 System Philosophy
Failed Continuation Trap Map is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders see when continuation logic breaks, without turning every failure into a forced reversal signal.
🔐 Non-Promise Statement
No script can know the future.
No failed continuation guarantees reversal.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how continuation attempts fail and how trapped participants can affect the next phase of market behavior.
The value is not only in the trap label. The value is in learning when a continuation narrative is accepted, rejected, or converted into opposite pressure.
インジケーター
Impulse Correction Balance Map [AGPro Series]Impulse Correction Balance Map
🧠 Core Idea
Is the current correction still healthy compared with the prior impulse, or is the impulse losing structural balance?
📌 Overview / What it does
Impulse Correction Balance Map is a rule-based impulse and correction visualization tool designed to compare the current pullback with the prior directional swing leg.
The script identifies a valid bullish or bearish impulse, measures correction depth, maps the healthy-to-balanced correction pocket, and highlights whether price is still respecting the impulse structure or moving into failure risk.
It does not predict price direction, automate trades, or guarantee continuation after a pullback. It is a structured market-structure and wave-analysis tool for reading impulse strength, correction depth, balance, continuation, and failure context.
🎯 Purpose & Design Philosophy
Many pullback tools mark a retracement or draw generic Fibonacci levels.
This script was built to answer a more practical question:
Is the correction proportionate to the impulse that created it?
The design goal is to help traders evaluate pullbacks as part of a complete impulse-correction relationship instead of treating every retracement as equal.
⚡ Why This Script Is Different
Most tools focus on static retracement levels, generic trend strength, or simple pullback labels.
This script does NOT mark every pullback as a clean opportunity.
Instead, it builds the impulse leg first, measures the correction against that leg, separates healthy correction, balanced pullback, deep correction, continuation, and failure risk, then displays the story through premium chart visuals and a compact AG Pro panel.
⚙️ Methodology
1. Swing Detection
The script uses confirmed swing pivots to identify meaningful bullish or bearish impulse legs.
2. Impulse Validation
An impulse must meet a minimum ATR-normalized size before it becomes the active reference leg.
3. Correction Mapping
After the impulse forms, the script tracks the deepest correction point and calculates retracement depth as a percentage of the impulse.
4. Balance Evaluation
Correction depth is classified into healthy, balanced, deep, continuation, or failure states.
5. Visual Output
The chart displays the impulse box, correction pocket, depth ladder, centered pocket label, right-side tags, event labels, alerts, and a compact AG Pro decision panel.
🗺️ How to Read the Chart
Impulse Box = the prior validated directional swing leg.
Correction Pocket = the projected healthy-to-balanced retracement area.
Depth Ladder = reference rails for shallow, balanced, and deep correction zones.
Centered Pocket Label = the main visual anchor for the active balance pocket and quality score.
Right-Side Tags = current correction depth, balance state, and continuation reference.
Event Labels = key moments such as healthy correction, deep correction, continuation, or correction failure.
Panel = summarizes balance state, impulse direction, correction depth, impulse size, quality score, next context, and timeframe.
🚦 Signals & States
• HEALTHY CORRECTION → correction depth remains shallow relative to the impulse.
• BALANCED PULLBACK → correction is deeper but still inside the normal balance area.
• DEEP CORRECTION → correction is pressing into a riskier retracement zone.
• HIGH FAILURE RISK → correction is beyond the preferred balance area.
• CONTINUATION → price extends beyond the impulse end in the impulse direction.
• CORRECTION FAIL → price invalidates the impulse start area.
• WAIT IMPULSE → no valid impulse reference is active yet.
🔔 Alerts Logic
Alerts trigger when a major impulse-correction state appears.
• Healthy Correction → correction remains inside the healthy retracement area.
• Deep Correction Risk → correction depth moves into the deep-correction risk area.
• Continuation Trigger → price breaks beyond the impulse end in the impulse direction.
• Correction Failure → correction invalidates the impulse start area.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The impulse leg is large enough relative to ATR
• Correction depth remains proportionate
• Price respects the balance pocket
• Continuation appears after a controlled correction
• The panel state agrees with the event label
• Broader trend structure supports the impulse direction
If these elements do not align, the script avoids forcing a continuation interpretation.
📊 When to Use
• Trend continuation analysis
• Pullback evaluation
• Swing structure review
• Crypto, forex, stocks, and index markets
• Wave-style impulse and correction studies
• 1H, 4H, and daily charts
• Markets with clear directional legs and retracement behavior
⚠️ When NOT to Use
• Very low-liquidity symbols
• Extremely choppy markets with no clear swing structure
• News-driven candles where pivots may be distorted
• Ultra-low timeframes with excessive noise
• Markets where every pullback is immediately invalidated by volatility
• Situations where a single retracement should not be treated as a standalone decision
🎛️ Key Inputs
• Swing Pivot Length → controls how swing highs and lows are confirmed.
• Minimum Impulse ATR → defines how large the impulse must be before it becomes active.
• ATR Length → normalizes impulse size, label spacing, and correction context.
• Healthy Correction Max % → defines the upper boundary of the shallow correction zone.
• Balance Correction Max % → defines the upper boundary of the balanced correction zone.
• Deep Correction Max % → defines the deep-correction risk boundary.
• Projection Bars → controls how far correction pockets, rails, and tags project.
• Label Font Size → controls chart label and tag text size.
• Panel Font Size → controls panel text size.
🖥️ Interface & Visual Design
The visual hierarchy is built around the impulse-correction relationship.
The impulse box shows the directional leg.
The correction pocket shows where a controlled retracement can remain balanced.
The depth ladder shows where the correction becomes shallow, balanced, deep, or risky.
The centered badge makes the pocket readable at first glance.
The AG Pro panel summarizes the current state without forcing the user to inspect every level manually.
🧪 Practical Usage Workflow
1. Wait for a valid impulse leg to appear.
2. Check the correction pocket and depth ladder.
3. Read the current balance state in the panel.
4. Watch whether the correction stays healthy, becomes deep, or fails.
5. Look for continuation only after the correction context remains controlled.
6. Interpret the result inside broader trend, liquidity, and volatility context.
🔍 Interpretation Guidelines
A healthy correction does not guarantee continuation. It means the retracement is still proportionate to the prior impulse.
A deep correction does not guarantee reversal. It means the pullback is approaching an area where the original impulse is less structurally clean.
A continuation trigger does not guarantee follow-through. It means price extended beyond the impulse end according to the script's rule set.
A correction failure is a structural warning, not a trading command.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a standard Fibonacci retracement tool.
It is not a full Elliott Wave counter.
⚠️ Limitations & Transparency
Swing detection depends on pivot confirmation, so signals can appear after pivots are confirmed.
Timeframe differences can change impulse and correction structure.
High volatility may cause correction depth to expand quickly.
Low-liquidity markets may produce unreliable swing pivots.
The script is designed for structured interpretation, not certainty.
🧠 Market Context Notes
Impulse-correction behavior is strongest when the market has a clear directional leg, a readable retracement, and enough liquidity for swing structure to matter.
The same correction depth can mean different things in a strong trend, a range, or a volatility shock.
The script should be read together with broader structure, volume, volatility, and market regime.
🧾 Use Case Examples
• If a bullish impulse forms and the correction remains shallow, the map may show healthy correction context.
• If a bearish impulse forms and price retraces deeply against it, the map may show deep correction or failure risk.
• If price breaks beyond the impulse end after a controlled correction, the map may show continuation.
🧱 System Philosophy
Impulse Correction Balance Map is part of the AGPro Series approach to decision-support tools:
clear structure, premium chart readability, honest interpretation, and no promise of certainty.
The goal is to help traders understand the relationship between impulse strength and correction depth without turning analysis into signal spam.
🔐 Non-Promise Statement
No script can know the future.
No correction depth guarantees continuation or reversal.
No signal should be interpreted without broader market context.
📉 Risk Disclosure
Trading involves risk.
Markets can move unpredictably.
This script is for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Users remain responsible for their own decisions.
📚 Educational Note
Use this script to study how impulses and corrections relate to each other.
The value is not only in the label. The value is in learning whether a pullback is proportionate, stretched, balanced, or structurally weak compared with the impulse that came before it.
インジケーター
