Wonra Alchemist SNR EngineWonra Alchemist SNR Engine
An implementation of Malaysian SNR (MSNR) and the Quasimodo reversal pattern, built as one engine because in that method the pieces are not independent indicators. A level means nothing without knowing which way the story is running, and the story is told by levels. This publishes the whole reading rather than one part of it.
Everything below is visible in the source. This is published open-source so the code is the final word on any of it.
How levels are found
Malaysian SNR ignores wicks. A level is marked by joining one candle's close to the next candle's open, and the space between those two prices is the level itself. Where the two meet you get a hairline; where they do not, the space between them never traded, and that untraded space is what the method calls a GAP. The engine treats both as one construct: a level is a band, and a gap is a band you can see.
That has consequences the code follows through on:
A touch registers at either edge of the band.
A break requires a close through the far edge. Closing inside the band has broken nothing, because nothing in there ever traded.
Levels are seeded from confirmed swings (an ATR-threshold zigzag, so minor noise does not create a level of its own) and from close-to-open gaps above a size floor.
How a level earns weight
Two things strengthen a level, and the second is the one most tools ignore.
Touches. Price left the level, came back and was refused. Leaving is required: price hovering at a price does not add a touch every bar.
Misses. Price swung toward the level and turned before reaching it. In MSNR a miss validates a level rather than doing nothing, and the reasoning is that the resting liquidity was never taken, so all of it is still there. A level with three misses is not the same as one with three taps, and the label shows them separately.
Role flip (SBR / RBS)
A level closed through does not disappear, it changes sides. Broken support becomes resistance and broken resistance becomes support, keeping its history. This is the SBR/RBS part of the method and it is why the chart does not empty out over a session.
Quasimodo (QM / QML)
The engine looks for the QM shape: a shoulder, a head beyond it, and a return. For a bullish QM the head must be a lower low than the left shoulder; the level drawn is the left shoulder, not the head, which is where the pattern is traded from. Each candidate must also produce a structure break before it is accepted, and combinations are scanned across several swings so a pattern is still found when a minor swing sits inside it.
Supply zones extend up from the QM level and demand zones extend down from it, on one side only, so price is not counted as having reached a zone while it is still short of the level.
Storyline (direction)
MSNR determines direction from higher-timeframe levels, and the engine follows the four rules the method states:
Direction comes from higher-timeframe levels, read from bodies, not from wick extremes.
A storyline begins with a rejection: a close back below resistance, or back above support.
It is confirmed by a breakout on a lower timeframe. The engine distinguishes the two kinds the method names — an internal breakout of a level formed after the rejection, and an external breakout of one that already existed — and reports which occurred.
Levels against the established direction are roadblocks: the places pullbacks are expected to stop on the way. They are marked rather than hidden, because they are the one thing the method tells you to expect.
Engulfing zones (EG / EF)
An engulfing candle above a size floor creates a zone. The rule that makes it worth having is what happens when it fails: a bullish zone that price closes through becomes a failed zone read the other way, at the same prices, because that is where the other side proved itself. Broken twice and it is discarded, having now been wrong in both directions.
Imbalances
Three-candle gaps, drawn as neutral background. Zones spanning a market closure are discarded — a weekend is not unfinished business between buyers and sellers, it is a closed market, and it happens to leave the largest and most eye-catching gap on the chart.
Scoring
Confirmed patterns are scored 0-100 from what the engine already knows about them: the size of the structure, the quality of the break, whether liquidity was swept and how cleanly, whether an imbalance sits inside the zone, and how proven the levels involved are. The score sets how loudly a pattern is drawn. Nothing is deleted for scoring low.
Why this is one script and not several
Because in this method the parts are not separable. The storyline decides which levels are tradeable and which are roadblocks. The QM level is only a setup when it agrees with the storyline. A level's weight comes from its own touch and miss history. Splitting these into separate indicators would produce three scripts that each need the other two to say anything, which is the situation this replaces.
How to use it
The panel gives the current reading: storyline direction and which breakout confirmed it, how many fresh zones are live on each side, the nearest zone in ATR, and whether a confluence is being watched.
Fresh zones are the tradeable ones. A zone that has been used is faded, not removed, so the history stays readable.
Zone reactions are marked where they happen. A diamond marks a reaction from a level that had already proven itself.
Levels against the storyline are marked RB. Expect a pause there, not a reversal.
Higher timeframes for direction, lower for entry timing. The storyline timeframe is automatic and can be set manually.
Credits
The concepts are not mine. Malaysian SNR, the storyline structure, roadblocks, fresh and unfresh levels, the MISS, SBR/RBS and the Quasimodo entry come from Malaysian SNR and Alchemist educational material that circulates publicly. This is an implementation of that method, not a new one.
The Strong FVG section is taken from "Customizable Strong FVGs" by Fleezzuss, published open-source under the Mozilla Public License 2.0. The three-candle detection, the sensitivity modes and the zone lifecycle are their work. This script is published open-source under the same licence because of it.
Added on top: a gap is not drawn when it would sit on one already on the chart, so consecutive impulse candles stop stacking zones at the same price; gaps spanning a market closure are discarded, because a weekend is a closed market rather than an imbalance; and the palette is neutral so imbalances sit behind the levels instead of competing with them.
Not financial advice. This is an analysis tool. It does not predict outcomes and does not tell you to buy or sell. Every level can fail.
Indicator
SQVIGU Squeeze+ GhostThis indicator is a heavy-duty, all-in-one trading tool built around the classic Squeeze momentum concept, but supercharged with predictive modeling and multi-timeframe analysis.
Here is exactly what it does under the hood:
Enhanced Squeeze Mechanics: It tracks market volatility using Bollinger Bands and Keltner Channels to spot when the market is "squeezing" (building up energy). When the squeeze fires, it uses an EMA and ADX filter to plot only the highest-probability, trend-aligned breakouts.
Ghost Projections: Instead of just reacting to the past, it uses linear regression to mathematically predict and paint the next 1 to 3 momentum bars into the future—complete with a percentage score showing its confidence in the prediction.
SuperTrend & ZigZag Tracker: It overlays a dynamic SuperTrend on your main price chart to keep you on the right side of the move. It even grades itself, explicitly flagging "true" vs. "false" buy and sell signals.
Momentum Nexus: It combines four powerful oscillators (RSI, MFI, VZO, and CCI) into a single, clean 0–100 score. It tracks both your current chart and a higher timeframe simultaneously to drop Overbought/Oversold triangles right where reversals are most likely. Indicator
Custom Basket Index: Breadth & DrawdownCustom Basket Index: Breadth & Drawdown
TL;DR
Enter any list of tickers and get a single equal-weighted line for the whole basket, with every pullback, correction and bear market boxed and measured.
The line changes color with breadth, so a rally being carried by only one or two names shows up immediately.
SETUP
Type up to 40 symbols, comma separated, into the settings. That’s the only required step.
EQUAL-WEIGHTED, NOT PRICE-WEIGHTED
The index averages each member’s percentage move and compounds it. It does not sum prices.
Averaging returns gives every member exactly 1/N influence, and rebalancing each bar keeps it there — otherwise your biggest winner gradually becomes the entire line.
DRAWDOWN BOXES
Declines from a peak is boxed and labelled with its depth and duration:
Pullback — 5% or more below the peak
Correction — 10% or more
Bearish — 20% or more Each threshold is configurable in the settings.
A bearish trend ends on the standard convention: a 20% rally off the low.
BREADTH IS IN THE LINE COLOR
The share of members trading above their own moving average (21 by default): green when 70%+ are above, red when 30% or fewer, gray between.
This is the part worth watching. A composite can keep climbing while most of its members roll over, carried by one or two names. When the line is rising and red, that’s the divergence.
The header row lists every ticker in the basket, each colored by whether it’s above its own MA, so you can see at a glance which names are doing the work.
REBASING
By default the index reads 1.0 at the left edge, so it always measures performance across the visible window and updates as you scroll. In the settings, you can pin it to a fixed date or to all loaded history instead.
A moving average of the composite is plotted alongside, and can be switched off. Indicator
Sector Rotation Map [ITA]See where institutional money is flowing across all 11 S&P sectors at a glance.
This indicator ranks every sector ETF (XLK, XLF, XLE, XLV, XLY, XLP, XLI, XLB, XLU, XLRE, XLC) by Relative Strength vs SPY and its momentum, then classifies each into one of four rotation states:
- Leading (strong + rising)
- Weakening (strong but fading)
- Lagging (weak + falling)
- Improving (weak but recovering)
Instead of flipping through 11 charts every morning, you get the full market rotation picture in one clean table.
Features:
- All 11 S&P sectors ranked automatically
- Relative Strength + Momentum, normalized around 100
- Four-state rotation classification, color-coded
- Configurable benchmark, lookbacks, table position and size
- Toggle any sector on/off
Feedback and suggestions welcome. Indicator
Daily Moving Averages Any TFThis indicator displays the Daily 9 EMA, 21 EMA, 50 EMA, and 200 SMA on any timeframe, allowing you to see the most important daily trend levels while executing trades on your preferred timeframe. Whether you are trading the 1-minute, 5-minute, 15-minute, hourly, or any other chart, the indicator automatically keeps the daily moving averages visible.
Use the Daily moving averages to identify overall trend direction, momentum, potential pullback zones, dynamic support and resistance, and higher-timeframe confluence. By combining the Daily 9, 21, 50 EMAs and 200 SMA with your own price action, chart patterns, breakouts, and trading strategy, you can maintain a clear view of the bigger picture while focusing on short-term execution. Indicator
Precision Bedrock [MohaveTrader]Precision Bedrock is an open-source market structure indicator that combines adaptive trend rails, structural equilibrium, rail-sourced support and resistance zones, and contextual reversal warnings into a single framework. Rather than accumulating historical levels, Bedrock continuously maintains the structure that remains relevant to current price action.
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WHY BEDROCK IS DIFFERENT
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Most support/resistance tools draw a level and leave it there. The market moves; the level does not, and the chart slowly fills with lines that no longer matter.
Bedrock treats market structure as something living. Zones are born from rail extremes and confirmed by price rejection. They move through a defined lifecycle that includes testing, confirmation, merging, role reversal, and eventual retirement as the market evolves. The result is a chart focused on the structural levels that remain relevant as price evolves.
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THE RAIL & EQUILIBRIUM ENGINE
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Upper and lower rails track the recent extremes over a lookback that adapts to your chart's timeframe. They define the channel the zones are sourced from and the directional context the reversal logic reads against, running under the hood rather than as a plotted line.
Between the rails sits the equilibrium: a smoothed, adaptive midline that reads where price is balancing within the channel. It is the reference the reversal logic measures turns against — a curl or slope shift in the equilibrium is often where building pressure first shows up.
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STRUCTURAL ZONES
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Zones are sourced from the rails, not from raw pivots. A rail printing a new extreme arms a candidate; a close-based pullback of a configurable ATR distance away from that extreme commits it into a zone, keeping zones anchored to structure the market actually stepped away from. Each zone is an ATR-width band — the rail extreme is the outer edge, extending inward toward price — so the level has the thickness real reactions occur across.
Every zone moves through a lifecycle:
• Active — a confirmed level, drawn as Support or Resistance.
• Testing — price has entered the band; the label reads Testing until the test resolves.
• Confirmed hold — after a set number of consecutive closes back outside the inner edge, the test counts and the level's respected-touch strength increases.
• Broken — a confirmed close beyond the outer edge, or price walking far past and staying away, retires the level.
• Role reversal — a broken level can flip its role in place (support becomes resistance, or the reverse) a limited number of times, rather than spawning a duplicate.
Overlapping same-side zones collapse into a single structural area, reducing duplicate levels and chart clutter. Distant zones are hidden but retained, reappearing if price returns; a per-side cap and a broken-level fade keep the chart clean. Labels show the role and mid price (for example, "Support 6.04"), and an optional Full Zone History mode lengthens each box back to where the level first formed. All zone logic runs on confirmed bars and draws at the live edge — historical levels do not repaint.
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REVERSAL WARNING DOTS
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A reversal warning dot marks a bar where pressure is building against the current trend near a rail extreme. It appears only when several conditions align on the same bar: the trend is intact and not already changing, price is on the appropriate side of the equilibrium, price is near the relevant rail, either the equilibrium is turning or the bar itself is a rejection, and a weighted reversal score clears its threshold. A cooldown prevents clusters on the same swing. The score blends multiple structural and momentum components, so no single feature alone fires a dot.
A dot is an early, contextual warning, not a trade signal. It flags that a turn is being pressured; it does not confirm one. Each dot's tooltip prints its reversal score and the rail-break level a close beyond which would confirm the turn.
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CANDLE COLORING
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Optional candle coloring displays bullish bars in green and bearish bars in red, to keep the chart readable against the zone bands and dots. It is a simple directional recolor and encodes no state. For the cleanest display, hide the chart’s native candle body, border, and wick colors when this option is enabled.
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CHOP SUPPRESSION
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An optional filter, off by default, suppresses reversal dots when momentum is unusually weak or the momentum state is changing repeatedly. It remains optional because quiet or thin markets can still produce legitimate reversal pressure.
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HOW TO USE IT
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Bedrock is context and structure for your own methodology, not a signal service:
• Read the zones as a map of where price may react, and plan your own entries, stops, and scale-outs around them.
• Use the rails and equilibrium for directional context as price approaches a zone.
• Treat a reversal warning dot as an early heads-up to tighten attention on an open position — remembering that a dot is a warning, not a confirmed turn.
• Watch how a level's touch history and lifecycle develop to gauge which zones have earned respect on your instrument.
Alert conditions are included for bullish and bearish reversal warnings, carrying the ticker and timeframe.
Bedrock pairs naturally with tools that add a different lens on the same price — volume profile, VWAP, and momentum or market-structure tools. It does not predict prices or guarantee outcomes: its zones and warnings are analytical structures, not recommendations to buy or sell. You remain solely responsible for every trading decision.
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CREDITS & LICENSE
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Precision Bedrock is released under the Mozilla Public License 2.0.
The adaptive trend rail, equilibrium, and reversal framework is derived from Adaptive Trend Rails by NICK789, used under the MPL 2.0. Original framework © NICK789.
Structural zones, lifecycle management, reversal scoring, candle coloring, and other Bedrock-specific functionality are original work by MohaveTrader. The momentum-state component of the reversal score is adapted from the author's open-source Precision Price Gamma (PGamma). Indicator
[Kpt-Ahab] Moving Average Simple AlgoPilotImportant Notice and Risk Warning
The published settings were selected exclusively based on historical data for the asset and timeframe shown.
The displayed result may be random or over-optimized and cannot automatically be transferred to other assets, timeframes, or future market conditions. Even with the presented settings, the strategy may cause significant losses at any time, including the complete loss of the allocated strategy capital.
This script is intended exclusively for analysis and testing purposes. It does not constitute investment advice or a trading recommendation.
Description
This script uses reused and adapted code components from ** Auto RiskManagement & Backtest System 2.1b** and the ** Moving Average Alarm Output **.
These components have been combined into a standalone strategy that integrates moving-average signals with position management, risk management, and backtesting functions.
How It Works
The strategy uses two freely configurable moving averages. **SMA, EMA, WMA, VWMA, or HMA** can be selected independently for the short and long moving averages.
A long signal is generated when the short moving average crosses above the long moving average. A short signal is generated when the short moving average crosses below the long moving average.
The moving averages are displayed directly on the chart. An additional colored area visualizes the position of the price relative to the long moving average. Its intensity changes according to the distance between the two moving averages.
Position and Risk Management
The script supports, among other features:
* Long and short positions
* Fixed or trailing stop-loss levels
* Multiple partial profit targets
* A final profit target
* Breakeven after the first profit target
* Optional additional entries
* Drawdown and losing-trade limits
* Internal or external trading signals
* Different position-sizing methods
Additional entries and simulated leverage may significantly increase the risk of loss.
Backtest Limitations
Strategy Tester results are based exclusively on historical market data. Real-world results may differ significantly due to commissions, spreads, slippage, liquidity, price gaps, and execution delays.
Past performance is not a reliable indication of future results.
Signals During an Open Position
The **Open Position Signals** setting determines how new signals are handled while a position is already open:
* **Wait-End-Deal:** All new moving-average signals are ignored until the current position has been closed by a profit target, stop-loss, or another protective function.
* **Wait-Reversal:** An opposing moving-average signal may close the currently open position.
With **Wait-Reversal**, a sell signal closes a long position, while a buy signal closes a short position. The opposing signal does not automatically open a new position during the same step.
Price-based additional entries remain independent of this setting and may still be executed when enabled.
Stop-Loss, Trailing Stop, Breakeven, and Liquidation Line
The strategy supports both a fixed stop-loss and a trailing stop. The selected percentage represents the direct price distance from the average entry price and is not automatically adjusted by the simulated leverage.
In **FIXED %** mode, the stop is calculated from the current average entry price. If the average entry price changes due to an additional entry, the stop is recalculated accordingly.
In **TRAILING** mode, the stop only moves in a direction that is favorable to the position. If the average entry price changes due to an additional entry, the existing trailing stop is adjusted accordingly.
The stop may optionally be moved to the average entry price after the first profit target has been reached. A stop mode must be enabled for this breakeven function to operate.
The displayed liquidation line is only an internal estimate based on the simulated position and account values. It may differ significantly from the actual liquidation calculation used by a broker or exchange.
Using External Indicators
An external numerical signal source may be used instead of the integrated moving-average signals.
The external indicator must provide a selectable plot series containing the following values:
* **+1:** Long or buy signal
* **−1:** Short or sell signal
All other values, including `na`, produce no new signal.
The external indicator must output the required numerical values through a selectable plot. This plot can then be selected under **External Source**.
How an external signal is processed while a position is already open also depends on the selected **Open Position Signals** setting.
Wichtiger Hinweis und Risikowarnung
Die veröffentlichten Einstellungen wurden ausschließlich anhand historischer Daten für das dargestellte Asset und den verwendeten Zeitrahmen gewählt.
Das Ergebnis kann zufällig oder überoptimiert sein und lässt sich nicht automatisch auf andere Assets, Zeitrahmen oder zukünftige Marktphasen übertragen. Auch mit den dargestellten Einstellungen kann die Strategie jederzeit erhebliche Verluste verursachen und das eingesetzte Strategiekapital vollständig verlieren.
Dieses Skript dient ausschließlich zu Analyse- und Testzwecken und stellt keine Anlageberatung oder Handelsempfehlung dar.
Beschreibung
Dieses Skript verwendet wiederverwendete und angepasste Codebestandteile aus ** Auto RiskManagement & Backtest System 2.1b** und dem ** Moving Average Alarm Output **.
Die Komponenten wurden zu einer eigenständigen Strategie verbunden, die Moving-Average-Signale mit Positions-, Risiko- und Backtestfunktionen kombiniert.
Funktionsweise
Die Strategie verwendet zwei frei konfigurierbare gleitende Durchschnitte. Für den kurzen und den langen Moving Average können jeweils **SMA, EMA, WMA, VWMA oder HMA** ausgewählt werden.
Ein Long-Signal entsteht, wenn der kurze Moving Average den langen Moving Average von unten nach oben kreuzt. Ein Short-Signal entsteht bei einer Kreuzung von oben nach unten.
Die Moving Averages werden direkt im Chart dargestellt. Eine zusätzliche farbliche Fläche visualisiert die Position des Kurses relativ zum langen Moving Average. Die Intensität der Darstellung verändert sich abhängig vom Abstand zwischen den beiden Moving Averages.
Positions- und Risikomanagement
Das Skript unterstützt unter anderem:
* Long- und Short-Positionen
* feste oder nachlaufende Stop-Loss-Marken
* mehrere Teilgewinnziele
* ein abschließendes Gewinnziel
* Breakeven nach dem ersten Gewinnziel
* optionale zusätzliche Einstiege
* Drawdown- und Verlustserienbegrenzungen
* interne oder externe Handelssignale
* unterschiedliche Methoden zur Bestimmung der Positionsgröße
Zusätzliche Einstiege und ein simulierter Hebel können das Verlustrisiko deutlich erhöhen.
Einschränkungen des Backtests
Die Ergebnisse des Strategietesters basieren ausschließlich auf historischen Kursdaten. Reale Ergebnisse können durch Gebühren, Spread, Slippage, Liquidität, Kurslücken und Ausführungsverzögerungen erheblich abweichen.
Vergangene Ergebnisse sind kein verlässlicher Hinweis auf zukünftige Ergebnisse.
Signale während einer offenen Position
Über **Open Position Signals** wird festgelegt, wie neue Signale während einer bereits geöffneten Position behandelt werden:
* **Wait-End-Deal:** Alle neuen Moving-Average-Signale werden ignoriert, bis die aktuelle Position durch ein Gewinnziel, einen Stop-Loss oder eine andere Schutzfunktion beendet wurde.
* **Wait-Reversal:** Ein entgegengesetztes Moving-Average-Signal kann die aktuell geöffnete Position schließen.
Bei **Wait-Reversal** schließt ein Verkaufssignal eine Long-Position und ein Kaufsignal eine Short-Position. Das entgegengesetzte Signal eröffnet dabei nicht automatisch im selben Schritt eine neue Position.
Preisbasierte zusätzliche Einstiege bleiben von dieser Auswahl unabhängig und können weiterhin ausgeführt werden, sofern sie aktiviert sind.
Stop-Loss, Trailing-Stop, Breakeven und Liquidationslinie
Die Strategie unterstützt einen festen Stop-Loss sowie einen nachlaufenden Trailing-Stop. Der eingestellte Prozentwert beschreibt den direkten Kursabstand zum durchschnittlichen Einstiegspreis und wird nicht automatisch durch den simulierten Hebel verändert.
Im Modus **FIXED %** wird der Stop anhand des aktuellen durchschnittlichen Einstiegspreises berechnet. Verändert sich dieser durch einen zusätzlichen Einstieg, wird auch der Stop neu berechnet.
Im Modus **TRAILING** wird der Stop nur in eine für die Position günstigere Richtung nachgezogen. Verändert sich der durchschnittliche Einstiegspreis durch einen zusätzlichen Einstieg, wird der bestehende Trailing-Stop entsprechend angepasst.
Optional kann der Stop nach dem Erreichen des ersten Gewinnziels auf den durchschnittlichen Einstiegspreis verschoben werden. Für diese Breakeven-Funktion muss ein Stop-Modus aktiviert sein.
Die angezeigte Liquidationslinie ist lediglich eine interne Schätzung auf Basis der simulierten Positions- und Kontowerte. Sie kann deutlich von der tatsächlichen Liquidationsberechnung eines Brokers oder einer Börse abweichen.
Verwendung externer Indikatoren
Anstelle der integrierten Moving-Average-Signale kann eine externe numerische Signalquelle verwendet werden.
Der externe Indikator muss eine auswählbare Plot-Serie mit den folgenden Werten bereitstellen:
* **+1:** Long- beziehungsweise Kaufsignal
* **−1:** Short- beziehungsweise Verkaufssignal
Bei allen anderen Werten oder bei `na` wird kein neues Signal ausgelöst.
Der externe Indikator muss die benötigten Zahlenwerte direkt über einen auswählbaren Plot ausgeben. Dieser Plot kann anschließend unter **External Source** ausgewählt werden.
Wie ein externes Signal während einer bereits geöffneten Position verarbeitet wird, hängt zusätzlich von der gewählten Einstellung unter **Open Position Signals** ab.
Strategy
Multi-EMA Suite with Margin LabelsOverview
This indicator combines 5 fully customizable Exponential Moving Averages (9, 20, 50, 100, and 200 by default) into a single script to help traders save indicator slots on their charts.
In addition to standard EMA plots, this script includes real-time right-margin price labels. These labels display the exact value and period of each active EMA dynamically, allowing for fast visual identification without needing to cross-reference color keys or look back at the status bar.
Key Features
5-in-1 EMA Engine: Saves chart layout space by running five key moving average periods simultaneously.
Dynamic Margin Labels: Cleanly plots price tags on the far-right edge of the price pane.
Fully Customizable: Easily alter EMA lengths, plot visibility, and color palettes through the settings menu.
Clean & Lightweight: Optimized using Pine Script v6 standards to ensure fast loading times with minimal chart clutter.
How to Use
Trend Direction: Use shorter EMAs (e.g., 9/20) for short-term dynamic momentum, and longer EMAs (e.g., 50/100/200) to identify overall macro trend bias.
Support & Resistance: Observe price action near key higher-period lines (like the 50 or 200 EMA) for potential support/resistance retests.
Margin Reading: Refer to the custom labels on the right side of the active price action to instantly verify current line values.
Inputs & Settings
EMA Settings: Modify the calculation period for each individual EMA line.
Visual Settings: Toggle margin labels on/off or change the line and label colors according to your background theme preferences.
Disclaimer & Risk Warning
Important Notice: This indicator is designed purely for informational, educational, and technical analysis mapping purposes. Traders should NOT execute trades solely based on this script or moving averages alone. Moving averages are lagging indicators that summarize historical price action and cannot predict future market movements. Always practice proper risk management and combine indicator analysis with price action, market context, volume analysis, and additional confirmation tools before entering any trade. Indicator
Pivot Matrix + Zones [AFD]Overview
Pivot Matrix + Zones brings up to three independently configured pivot systems into one coordinated overlay. It combines exact pivot ladders, standard Central Pivot Range (CPR), ATR- or tick-scaled reaction zones, formula-aware cross-pack confluence, retained untested levels, a compact context dashboard, and seven bar-close alert conditions.
Each pack can use a different formula and anchor, allowing combinations such as Daily Traditional, Daily Camarilla, and Weekly Fibonacci to be compared without merging their identities.
The script is designed for descriptive market context. It does not produce trade recommendations, forecasts, performance statistics, or automated orders.
What makes it different
The script's original contribution is its identity-aware coordination of the three packs rather than a simple stack of pivot lines. Each pack has its own formula, anchor, tier ceiling, formula-pivot and CPR visibility, labels, R/S color, and line style. One shared lifecycle model freezes reaction width at origin, carries formula and anchor provenance into retained levels and alerts, and keeps dashboard and drawing state aligned.
Confluence requires overlapping reaction zones from at least two distinct enabled packs. Multiple levels or historical origins from only one pack do not create confluence, and duplicate canonical levels do not inflate the displayed pack count. Exact formula-and-anchor duplicates are marked inactive instead of drawing the same configuration twice.
The implementation and lifecycle logic are original. The named pivot methods use standard published calculations identified below; no third-party indicator source code is reused.
Pivot formulas and anchors
The three packs can use Traditional, Floor Pivots, Fibonacci, Woodie, Classic, DM, Camarilla, Frank Dilernia, Shadow Trader, or ACD Method calculations. Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla use the formulas documented for PulseWire Pivot Points Standard. Floor Pivots uses the standard prior-period high, low, and close ladder through R3/S3; those levels match Traditional through the third tier, while Traditional retains its additional R4/R5 extensions.
Available anchors are Auto, Daily, Weekly, Monthly, Quarterly, and Yearly. Auto uses Daily pivots on chart resolutions through 15 minutes, Weekly pivots above 15 minutes and below one day, and Monthly pivots on daily-or-higher charts.
Each formula stops at its documented native tier. The Through Rn/Sn controls do not create unsupported extension levels. Camarilla calculations use the standard R/S equations and display H/L aliases alongside those names.
Data and session handling
Use daily-based values to request anchor data from the selected symbol context. Exchange default, RTH, and ETH choices are available. For futures, ETH uses the exchange-default electronic context, while RTH uses the named subsession entered in the settings. The default futures RTH name is us_regular, but valid names are symbol-specific.
On intraday charts, turning daily-based values off builds anchor values from the chart feed. This may reflect a visible session more closely, but Quarterly or Yearly anchors can have insufficient intraday history. On daily-or-higher charts, the script continues to use daily-based anchor data.
Most formulas use completed prior-anchor values. Woodie also uses the fixed open of the active anchor. The optional developing next CPR uses the active anchor's changing high, low, and close; it is visually separated and never enters confluence, retained history, or alerts.
CPR and reaction zones
CPR always uses the standard floor-pivot calculation from the completed period's high, low, and close. Its chart labels identify the center as PP, the lower Bottom Central boundary as Lower (BC), and the upper Top Central boundary as Upper (TC). This CPR pivot remains separate from a formula pivot when methods such as Woodie or DM produce a different value.
Reaction zones are symmetric bands around exact pivot prices. Their half-width can use confirmed Daily ATR, completed anchor ATR, or a fixed number of minimum ticks. The width is frozen when an anchor's geometry is created, so an existing zone does not drift as ATR changes inside that anchor. The exact pivot remains the center line; the surrounding fill is a configurable context band.
How to read the chart
Exact center lines are the calculated PP, resistance, support, or CPR levels. Soft surrounding fills show the configured interaction distance; they are not additional pivot levels or predictive outputs.
By default, formula PP lines and matching fills are yellow, Pack A R/S lines and fills are blue, and CPR boundaries and the central range are purple. Active labels identify Formula + Level, while CPR labels distinguish PP, Lower (BC), and Upper (TC). Price text is optional and hidden by default.
Confluence and retained levels
When eligible reaction zones from at least two distinct packs overlap, the script merges the overlap transitively into a confluence band. Each label names the unique contributing formulas and then shows the number of distinct packs represented, such as Traditional + Fibonacci x2. Enable confluence is the master control and is on by default. Turning it off removes confluence zones and labels and suppresses Confluence Touch events while the pivot packs, dashboard, retained-level lifecycle, and other alerts continue. When enabled, confluence color, text color, and projection change the display only, not the overlap or alert identity.
At an anchor rollover, eligible pivot zones that were not touched during their active period can be retained as Untested. A later confirmed wick overlap changes the record to TESTED, freezes and fades its drawing for 20 chart bars, and removes it afterward. Retained drawings are off by default, but lifecycle tracking, dashboard counts, confluence eligibility, and fill alerts continue while the drawings are hidden.
Dashboard
The compact dashboard shows only enabled packs with their selected pivot formula and any non-active status. It then classifies the two-period CPR relationship, reports whether the active-anchor open is above, below, or inside CPR, and shows the nearest retained untested level with the live count across all packs. CPR context follows the first enabled pack in A/B/C order.
Display controls
Active geometry can end at a finite current-bar offset, at the anchor end, or extend right. Confluence has its own finite current-bar, finite label-offset, and extend-right choices. Show confluence only hides non-confluence drawings while confluence is enabled; turning the master control off restores the normal layers. Calculations, the dashboard, lifecycle processing, and all enabled alerts continue.
Formula PP, CPR, labels, displayed prices, label size, line width, reaction shading, tier depth, and retained-level styling can be adjusted independently. Formula PP lines and fills default to yellow, Pack A R/S lines and fills default to blue, and CPR boundaries and the central range default to purple. The Inputs tab follows a numbered workflow and dims controls that do not apply without disabling calculations that still use their state. Prices are hidden by default, and chart labels identify formula and level without A/B/C prefixes; dashboard and alert provenance retain pack identity. Duplicate formula-and-anchor pack configurations are rejected rather than drawn twice.
Suggested setup workflow
Configure Pack A as the primary context, then enable Pack B or C when a second formula, anchor, or both are needed for comparison. Choose the highest native R/S tier, session basis, reaction-width method, and projection for the chart being reviewed. Use the dashboard and labels for identity, Show confluence only to isolate cross-pack overlaps, and retained-level drawings when the untested lifecycle should remain visible.
Create alerts only after the symbol, timeframe, sessions, pack settings, and reaction-width inputs are finalized, because those chart settings define the levels and events being monitored.
Alerts
Seven fixed conditions are available: Active Level Touch, Cross Up, Cross Down, CPR Enter, CPR Exit, Untested Level Filled, and Confluence Touch. Events confirm at chart-bar close. Optional dynamic messages aggregate supported events from the same confirmed bar and include available pack, formula, anchor, level, origin, and price context. PulseWire running alerts retain the script inputs saved when they were created, so delete and recreate an alert after changing Enable confluence or another input.
Limitations
Pivot values and rollover timing depend on the selected symbol, data feed, anchor, session context, and available history. Daily and intraday feeds can differ because of extended hours, futures settlements, and feed construction. An invalid futures subsession name can fall back to the exchange default, so confirm the requested name in Inputs and compare the resulting pivots with the intended session.
Reaction zones and confluence visualize proximity; they do not predict a response. Untested means the configured zone was not touched during its tracked active period; it does not imply that price must revisit or react to it.
Use a standard time-based chart when evaluating touches, crosses, and alerts because those events use the chart's OHLC bars. Alerts still depend on PulseWire alert creation, chart settings, feed updates, and bar-close processing.
The script keeps bounded histories of up to 30 live untested levels and 20 fading tested markers, with older retained records removed as those limits are reached. Confluence display is capped at 20 zones.
This is a public open-source Pine Script v6 indicator with a Mozilla Public License 2.0 source header. PulseWire's open-source reuse rules apply on-platform before the license terms. It is an educational charting tool and is not financial advice. Indicator
GCM Breakout Ignition TRACERDescription:
Title: GCM Breakout Ignition TRACER
"Filter the Market Noise. Pinpoint Institutional Pressure. Ride the Ignition."
-uniGram
Overview
The GCM Breakout Ignition TRACER is an institutional-grade volatility expansion engine built for high-probability breakout execution. In modern derivative and equity markets, price action spends the vast majority of its time coiling in low-volatility ranges—a regime designed to bleed options buyers and trap retail momentum traders.
This system solves market noise by breaking down price behavior into three distinct, mechanical phases:
(Noise Filtered) ────► (Pressure Pinpointed) ────► (Trend Ridden)
1. Silence the Noise (Stasis Field Filtering): Automatically identifies tight consolidation zones driven by low volatility and contracting ATR. It explicitly signals a "Stand Down" regime, protecting capital from over-trading during chop.
2. Pinpoint Institutional Pressure (GCM Bias Pulse): Evaluates multi-factor directional weightings—combining Price Location ($50\%$), Candle Body Expansion ($30\%$), and Rate-of-Change Momentum ($20\%$). It reveals true institutional order flow accumulation before price leaves the range.
3. Ride the Ignition (Execution Trigger): Confirms structural volatility expansion with high-visibility IGNITE (Bullish) or DROP (Bearish) visual beams, offering crisp entries paired with adaptive dynamic edge trailing levels.
Institutional Volatility Expansion & Trend Alignment Engine
Markets spend roughly 70% of their time in choppy consolidation (energy accumulation) and 30% in directional volatility expansion (institutional participation). The GCM Breakout Ignition TRACER is an advanced technical framework engineered to quantify this cycle. It isolates low-volatility stasis fields, measures underlying multi-factor directional bias, and pinpoints precise institutional breakout triggers.
Core Architecture & Key Engines
1. Stasis Field Engine (Compression Detection)
1) Detects quiet market regimes by evaluating short-period EMA tightness, RSI compression, and ATR contraction.
2) Visualized as a boxed stasis zone with laser boundaries, warning traders to avoid over-trading during chop.
2. GCM Bias Pulse Engine (Normalized Multi-Factor Pressure)
1) Quantifies macro directional strength by weighting Price Location (50%), Candle Body Expansion (30%), and Momentum Rate-of-Change (20%) against a 34-period baseline.
2) Normalized using a 14-period macro ATR to ensure smooth, non-lagging gradient direction across varying market volatility regimes.
3. GCM Dynamic Edge & Trend Cloud
1) Employs adaptive CCI and ATR volatility trailing boundaries.
2) Uses Static Y-Axis Gradient Fill to project trend direction without visual layer artifacts.
4. Breakout Ignition & Drop Engine
1) Confirms volatility expansion out of stasis fields.
2) High-contrast visual beams mark validated institutional entries:
IGNITE (#37ff0c): High-conviction bullish volatility ignition.
DROP (#ff0000): High-conviction bearish volatility breakdown.
The 4-Stage Execution Framework
To make trading structured and repeatable, execute trades using this 4-step framework:
Stage 1: Preparation (Identify the Stasis Field)
• What to look for: A blue Stasis Field box forming on the chart.
• Action: Stand down. The market is accumulating energy. Do not open new positions inside the stasis zone.
Stage 2: Bias Alignment (Check Market Context)
• What to look for: Observe the color of the GCM Bias Pulse Crosses and the Dynamic Edge Cloud.
• Action: Align your directional expectation:
o Green Pulse / Price above Dynamic Edge $\rightarrow$ Bullish Bias
o Red Pulse / Price below Dynamic Edge $\rightarrow$ Bearish Bias
Stage 3: Execution (The Trigger)
• What to look for: A confirmed bar close generating an IGNITE or DROP signal.
• Action:
o Enter LONG on a confirmed IGNITE signal (Green candle highlight + beam).
o Enter SHORT on a confirmed DROP signal (Red candle highlight + beam).
Stage 4: Risk & Trade Management
• Stop-Loss Placement: Set your initial Stop-Loss just beyond the opposite side of the Stasis Field or at the GCM Dynamic Edge.
• Trailing & Exit: Trail your position along the Dynamic Edge line or lock in profits as price approaches key higher-timeframe liquidity zones.
• Automation: Fully compatible with webhook execution engines (Dhan, Tradetron, Custom Python Bridges) using standardized, dynamic JSON payloads.
Disclaimer:
Financial market trading involves substantial risk. The GCM Breakout Ignition TRACER is an analytical decision-support system and does not constitute financial advice. Always perform independent risk management.
HAPPY TRADING
---------------------------------------------
Kannada Description (ಕನ್ನಡ ವಿವರಣೆ)
Title: GCM Breakout Ignition TRACER
"ಅನಗತ್ಯ ಗದ್ದಲಗಳನ್ನು ಫಿಲ್ಟರ್ ಮಾಡಿ. ಮಾರುಕಟ್ಟೆಯ ಒತ್ತಡ ಗ್ರಹಿಸಿ. ಬ್ರೇಕ್ಔಟ್ ಅಲೆಯನ್ನು ಗೆಲ್ಲಿ."
-uniGram
ಸಾರಾಂಶ (Overview)
GCM Breakout Ignition TRACER ಎನ್ನುವುದು ಅತ್ಯಂತ ನಿಖರವಾದ ಬ್ರೇಕ್ಔಟ್ ಟ್ರೇಡಿಂಗ್ಗಾಗಿ ವಿನ್ಯಾಸಗೊಳಿಸಲಾದ Institutional-grade Volatility Expansion Engine ಆಗಿದೆ. ಇಂದಿನ F&O ಮತ್ತು ಈಕ್ವಿಟಿ ಮಾರುಕಟ್ಟೆಗಳಲ್ಲಿ, ಬೆಲೆಯು ಬಹುಪಾಲು ಸಮಯ ಸಣ್ಣ ರೇಂಜ್ ಒಳಗೆ ತಡೆಯಲ್ಪಡುತ್ತದೆ. ಈ ಅವಧಿಯು ರಿಟೇಲ್ ಟ್ರೇಡರ್ಗಳಿಗೆ ನಷ್ಟ ಉಂಟುಮಾಡುವ ಮತ್ತು ತಪ್ಪು ಸಿಗ್ನಲ್ಗಳನ್ನು ಕೊಡುವ "Market Noise" ನಿಂದ ಕೂಡಿರುತ್ತದೆ.
ಈ ಸಿಸ್ಟಮ್ ಮಾರುಕಟ್ಟೆಯ ನಡವಳಿಕೆಯನ್ನು 3 ಮುಖ್ಯ ಮತ್ತು ಸ್ಪಷ್ಟ ಹಂತಗಳಾಗಿ ವಿಂಗಡಿಸಿ, ಅತ್ಯಂತ ಸರಳವಾಗಿ ನಿಮ್ಮ ಮುಂದೆ ತರುತ್ತದೆ:
(ಶಬ್ದ ಫಿಲ್ಟರ್) ────► (ಒತ್ತಡದ ಗ್ರಹಿಕೆ) ────► (ಅಲೆಯನ್ನೇರಿ)
1. ಅನಗತ್ಯ ಶಬ್ದ ಫಿಲ್ಟರ್ ಮಾಡಿ (Stasis Field Filtering): ಮಾರುಕಟ್ಟೆ ಶಾಂತವಾಗಿದ್ದಾಗ ಅಥವಾ ರೇಂಜ್ ಬೌಂಡ್ ಆಗಿದ್ದಾಗ ಸ್ವಯಂಚಾಲಿತವಾಗಿ Stasis Box ರೂಪಿಸುತ್ತದೆ. ಈ ಸಮಯದಲ್ಲಿ ಟ್ರೇಡ್ ಮಾಡದೆ "ತಾಳ್ಮೆಯಿಂದಿರಲು (Stand Down)" ಟ್ರೇಡರ್ಗೆ ಸ್ಪಷ್ಟವಾಗಿ ಸೂಚಿಸಿ, ಅನಗತ್ಯ ನಷ್ಟಗಳಿಂದ ಕಾಪಾಡುತ್ತದೆ.
2. ಮಾರುಕಟ್ಟೆಯ ಒತ್ತಡ ಗ್ರಹಿಸಿ (GCM Bias Pulse): ಬೆಲೆಯ ಸ್ಥಳ ($50\%$), ಕ್ಯಾಂಡಲ್ ಬಾಡಿ ವಿಸ್ತರಣೆ ($30\%$), ಮತ್ತು ಮೊಮೆಂಟಮ್ ($20\%$) — ಈ ಮೂರು ಅಂಶಗಳನ್ನು ಒಗ್ಗೂಡಿಸಿ institutional order flow ಯಾವ ಕಡೆಗೆ ಒತ್ತಡ ಹೇರುತ್ತಿದೆ ಎಂಬುದನ್ನು ಬ್ರೇಕ್ಔಟ್ ಅಗುವ ಮುನ್ನವೇ ಲೆಕ್ಕಾಚಾರ ಮಾಡುತ್ತದೆ.
3. ಬ್ರೇಕ್ಔಟ್ ಅಲೆಯನ್ನು ಗೆಲ್ಲಿ (Execution Trigger): ಮಾರುಕಟ್ಟೆ ರೇಂಜ್ನಿಂದ ಹೊರಬಿದ್ದ ತಕ್ಷಣ ಉಂಟಾಗುವ ದೊಡ್ಡ ವೊಲಟಾಲಿಟಿಯನ್ನು ಗುರುತಿಸಿ IGNITE (ಬೈಯಿಂಗ್) ಅಥವಾ DROP (ಸೆಲ್ಲಿಂಗ್) ಬೀಮ್ಗಳ ಮೂಲಕ ಸ್ಪಷ್ಟ Entry ಮತ್ತು Trailing Stop-loss ಹಂತಗಳನ್ನು ಒದಗಿಸುತ್ತದೆ.
Institutional Volatility Expansion & Trend Alignment Engine
ಮಾರುಕಟ್ಟೆಯು ಸುಮಾರು 70% ಸಮಯ ಕನ್ಸಾಲಿಡೇಶನ್ (ಚಾಪಿ/ಅಕ್ಯುಮುಲೇಶನ್) ನಲ್ಲಿದ್ದರೆ, ಕೇವಲ 30% ಸಮಯ ಮಾತ್ರ ಸ್ಪಷ್ಟವಾದ ಟ್ರೆಂಡಿಂಗ್/ವೊಲಟಾಲಿಟಿ ರಾಲಿಯನ್ನು ನೀಡುತ್ತದೆ. GCM Breakout Ignition TRACER ಎನ್ನುವುದು ಮಾರ್ಕೆಟ್ನ ಈ ಚಕ್ರವನ್ನು ನಿಖರವಾಗಿ ಗುರುತಿಸಲು ವಿನ್ಯಾಸಗೊಳಿಸಲಾದ Institutional-grade Technical Engine ಆಗಿದೆ. ಇದು ಮಾರ್ಕೆಟ್ನಲ್ಲಿನ ಸೈಲೆಂಟ್ ಕಂಪ್ರೆಶನ್ ಫೇಸ್ಗಳನ್ನು ಗುರುತಿಸಿ, ಶಕ್ತಿಯುತ Breakout ಕ್ಷಣಗಳನ್ನು ಅತ್ಯಂತ ಸ್ಪಷ್ಟವಾಗಿ ನೀಡುತ್ತದೆ.
ಪ್ರಮುಖ ಇಂಜಿನ್ಗಳ ವಿವರಣೆ (Core Engines)
1. Stasis Field Engine (ಕಂಪ್ರೆಶನ್ ಪತ್ತೆಹಚ್ಚುವಿಕೆ)
o Short-period EMAs, RSI ಕಂಪ್ರೆಶನ್ ಮತ್ತು ATR ಕಾಂಟ್ರಾಕ್ಷನ್ ಮೂಲಕ ಮಾರ್ಕೆಟ್ ಶಾಂತವಾಗಿರುವುದನ್ನು (Chop/Range) ಗುರುತಿಸುತ್ತದೆ.
o ಚಾರ್ಟ್ನಲ್ಲಿ ಇದು "Stasis Box" ಆಗಿ ಕಾಣಿಸಿಕೊಂಡು, ರೇಂಜ್ ಮಾರ್ಕೆಟ್ನಲ್ಲಿ ಅನಗತ್ಯ ಟ್ರೇಡ್ಗಳನ್ನು ಮಾಡದಂತೆ ನಿಯಂತ್ರಿಸುತ್ತದೆ.
2. GCM Bias Pulse Engine (ಮಲ್ಟಿ-ಫ್ಯಾಕ್ಟರ್ ಡೈರೆಕ್ಷನಲ್ ಪ್ರೆಶರ್)
1) Price Location (50%), Candle Body Expansion (30%), ಮತ್ತು Momentum Rate-of-Change (20%) ಫ್ಯಾಕ್ಟರ್ಗಳನ್ನು ಒಂದಾಗಿಸಿ ಟ್ರೆಂಡ್ನ ನಿಜವಾದ ದಿಕ್ಕನ್ನು ಲೆಕ್ಕಾಚಾರ ಮಾಡುತ್ತದೆ.
2) Macro ATR ಬಳಸಿ ಲೆಕ್ಕಾಚಾರ ಮಾಡುವುದರಿಂದ, ಸುಳ್ಳು (Fake) ಟ್ರೆಂಡ್ ಸಿಗ್ನಲ್ಗಳನ್ನು ಇದು ಪರಿಣಾಮಕಾರಿಯಾಗಿ ಫಿಲ್ಟರ್ ಮಾಡುತ್ತದೆ.
3. GCM Dynamic Edge & Trend Cloud
o Adaptive CCI ಮತ್ತು ATR ಬಳಸಿ Trailing Support/Resistance Edge ಅನ್ನು ನಿರ್ಮಿಸುತ್ತದೆ.
o Static Y-Axis Gradient fill ತಂತ್ರಜ್ಞಾನ ಬಳಸಿರುವುದರಿಂದ ಚಾರ್ಟ್ visually ಅತ್ಯಂತ ಕ್ಲೀನ್ ಆಗಿ ಕಾಣಿಸುತ್ತದೆ.
4. Breakout Ignition & Drop Engine
o Stasis Field ನಿಂದ ಮಾರ್ಕೆಟ್ ಹೊರಬರುವಾಗ ಶಕ್ತಿಯುತ ವೊಲಟಾಲಿಟಿಯನ್ನು ಪತ್ತೆಹಚ್ಚುತ್ತದೆ:
IGNITE (#37ff0c): Bullish Volatility Breakout ಸಿಗ್ನಲ್.
DROP (#ff0000): Bearish Volatility Breakdown ಸಿಗ್ನಲ್.
ಟ್ರೇಡಿಂಗ್ ಸುಲಭಗೊಳಿಸುವ 4-ಹಂತಗಳ ಫ್ರೇಮ್ವರ್ಕ್ (4-Stage Execution Framework)
ನಿಮ್ಮ ಟ್ರೇಡಿಂಗ್ನಲ್ಲಿ ಡಿಸಿಪ್ಲಿನ್ ಮತ್ತು ನಿಖರತೆ ತರಲು ಈ 4-ಹಂತಗಳ ಸಿಸ್ಟಮ್ ಬಳಸಿ:
Stage 1: ಸಿದ್ಧತೆ (Stasis Field ಗುರುತಿಸುವಿಕೆ)
• ಏನು ನೋಡಬೇಕು: ಚಾರ್ಟ್ನಲ್ಲಿ ಬ್ಲೂ ಬಣ್ಣದ Stasis Field Box ಕಾಣಿಸಿಕೊಳ್ಳುವುದು.
• ಟ್ರೇಡರ್ ಮಾಡಬೇಕಾದದ್ದು: ತಾಳ್ಮೆಯಿಂದಿರಿ (Stand down). ಮಾರ್ಕೆಟ್ ಎನರ್ಜಿ ಅಕ್ಯುಮುಲೇಟ್ ಮಾಡುತ್ತಿದೆ. ಈ ಬಾಕ್ಸ್ ಒಳಗಿದ್ದಾಗ ಯಾವುದೇ ಹೊಸ ಪೊಸಿಷನ್ ತೆಗೆದುಕೊಳ್ಳಬೇಡಿ.
Stage 2: ಬೈಯಾಸ್ ದೃಢೀಕರಣ (Bias Alignment)
• ಏನು ನೋಡಬೇಕು: GCM Bias Pulse Crosses ಮತ್ತು Dynamic Edge Cloud ನ ಬಣ್ಣ ಗಮನಿಸಿ.
• ಟ್ರೇಡರ್ ಮಾಡಬೇಕಾದದ್ದು:
1) Green Pulse / Price Cloud ಗಿಂತ ಮೇಲಿದ್ದರೆ $\rightarrow$ Bullish Bias (ಬೈಯಿಂಗ್ ಆಲೋಚನೆ)
2) Red Pulse / Price Cloud ಗಿಂತ ಕೆಳಗಿದ್ದರೆ $\rightarrow$ Bearish Bias (ಸೆಲ್ಲಿಂಗ್ ಆಲೋಚನೆ)
Stage 3: ಎಕ್ಸಿಕ್ಯೂಶನ್ (Trigger)
• ಏನು ನೋಡಬೇಕು: ಕ್ಯಾಂಡಲ್ ಕ್ಲೋಸ್ನಲ್ಲಿ ಬರುವ IGNITE ಅಥವಾ DROP ಸಿಗ್ನಲ್.
• ಟ್ರೇಡರ್ ಮಾಡಬೇಕಾದದ್ದು:
1) IGNITE ಸಿಗ್ನಲ್ ಬಂದಾಗ (Green Highlight + Beam) $\rightarrow$ LONG / BUY Entry
2) DROP ಸಿಗ್ನಲ್ ಬಂದಾಗ (Red Highlight + Beam) $\rightarrow$ SHORT / SELL Entry
Stage 4: ರಿಸ್ಕ್ ಮ್ಯಾನೇಜ್ಮೆಂಟ್ & ಆಟೋಮೇಷನ್
• Stop-Loss ಸ್ಥಳ: ನಿಮ್ಮ Stop-Loss ಅನ್ನು Stasis Field ನ ವಿರುದ್ಧ ಬದಿ ಅಥವಾ GCM Dynamic Edge Line ಹತ್ತಿರ ಇರಿಸಿ.
• Trailing & Exit: Price ಮೂವ್ ಆಗುತ್ತಿದ್ದಂತೆ Dynamic Edge Line ಅನ್ನು ಟ್ರೇಲಿಂಗ್ Stop-Loss ಆಗಿ ಬಳಸಿ.
• Automation Ready: ಧನ್ (Dhan), Tradetron ಅಥವಾ ಕಸ್ಟಮ್ ಬ್ರಿಡ್ಜ್ಗಳ ಮೂಲಕ ಆಟೋಮೇಟೆಡ್ Webhook Orders ಕಳುಹಿಸಲು Standard Dynamic JSON Payloads ನೊಂದಿಗೆ ಸಿದ್ಧವಾಗಿದೆ.
ಹಕ್ಕುತ್ಯಾಗ (Disclaimer):
ಷೇರು ಮಾರುಕಟ್ಟೆ ಹಾಗೂ F&O ಟ್ರೇಡಿಂಗ್ನಲ್ಲಿ ಆರ್ಥಿಕ ಅಪಾಯಗಳಿರುತ್ತವೆ. GCM Breakout Ignition TRACER ಎನ್ನುವುದು ನಿರ್ಧಾರ ತೆಗೆದುಕೊಳ್ಳಲು ಸಹಾಯ ಮಾಡುವ ಒಂದು ವಿಶ್ಲೇಷಣಾತ್ಮಕ ಟೂಲ್ ಆಗಿದ್ದು, ಯಾವುದೇ ನೇರ ಹಣಕಾಸು ಸಲಹೆಯಲ್ಲ. ಸ್ವಂತ ರಿಸ್ಕ್ ಮ್ಯಾನೇಜ್ಮೆಂಟ್ನೊಂದಿಗೆ ಟ್ರೇಡ್ ಮಾಡಿ.
HAPPY TRADING
Indicator
Market Structure BOS, CHoCH, HH HL LH LL & Trend Health [LunqFX]Market structure is the skeleton of every trend: a series of higher highs and higher lows, or lower highs and lower lows, until a break says the trend has changed. This indicator maps that skeleton automatically — labelling every swing as HH, HL, LH or LL, drawing each Break of Structure (BOS) and Change of Character (CHoCH) — and adds one thing no other structure tool has: it tells you the trend is failing BEFORE the structure actually breaks.
❶ THE STRUCTURE MAP
▸ SWING LABELS — every confirmed swing point is labelled HH (higher high), HL (higher low), LH (lower high) or LL (lower low). The sequence of those four labels IS the trend, and having it on the chart removes the guesswork from reading price action.
▸ BOS — Break of Structure. Price closes through the last swing level in the direction of the trend: the trend is continuing. Drawn as a dashed line from the broken level with a BOS label.
▸ CHoCH — Change of Character. Price closes through the last swing level against the trend: the trend has flipped. Drawn as a solid, highlighted line — this is the reversal signal smart-money traders wait for.
▸ STRUCTURE CANDLES — the candles themselves are coloured by the structural trend, not by whether each bar closed up or down. Green means the market structure is bullish, violet means bearish, so the regime is obvious at a single glance. Their brightness fades as Trend Health falls.
❷ TREND HEALTH 0–100 — THE EARLY WARNING
Every other structure tool tells you a trend has ended after CHoCH prints. By then the move is already gone. Trend Health measures the two things that decay before every structure break:
▸ EXPANSION — in a healthy trend each new extreme clears the previous one by at least as much as the last leg did. When new highs barely exceed the old ones, the trend is running out of fuel.
▸ RETRACEMENT — in a healthy trend pullbacks stay shallow. When each pullback eats deeper into the previous leg, control is shifting to the other side.
Both are measured on the live leg, normalised by ATR so the score behaves the same on any symbol and timeframe, and blended into a single 0–100 reading. When it drops below your threshold the dashboard flags WEAKENING — while the trend is still technically intact. That is the warning CHoCH cannot give you, because CHoCH is confirmation, not anticipation.
❸ THE STRUCTURE TAPE
Instead of a table of numbers, the dashboard shows a timeline of the last five structure events, oldest to newest: BOS ▲ · BOS ▲ · CHoCH ▼ · BOS ▼. Reading the sequence tells you instantly whether the market is trending cleanly (a run of BOS in one direction) or chopping (CHoCH flipping back and forth) — context you cannot get from a single label on the chart.
❹ HOW TO TRADE IT
1 — Establish the bias from MARKET STRUCTURE in the panel. Bullish structure = look for longs, bearish = look for shorts. Do not fight it.
2 — Use BOS as continuation. A BOS in the direction of your bias confirms the trend is intact; the broken level often becomes support or resistance on the retest.
3 — Use CHoCH as the reversal trigger. A CHoCH against the prevailing trend is the earliest confirmed signal that structure has flipped. Wait for it before trading a reversal.
4 — Use TREND HEALTH for timing and risk. Health above 65 with a run of BOS on the tape = a clean trend, hold your position and trail. Health falling into WEAKENING = tighten stops, take partials, and stop adding — the structure is decaying and a CHoCH becomes more likely.
5 — Read the tape for market state. Several BOS in a row = trending market, trade continuations. Alternating CHoCH = choppy market, stand aside or trade the range instead.
❺ HOW IT WORKS
Swing points come from confirmed pivots, so a swing only exists once the bars on both sides of it have closed. The most recent swing high and swing low become the active structure levels. When a bar CLOSES beyond one of them (a wick-based mode is available), the break is registered: in the direction of the current trend it is a BOS, against it a CHoCH, and the trend state flips. Trend Health compares the size of the current expansion leg with the previous one in ATR units, and the depth of the latest pullback against the leg it retraced, then blends them 60/40 into the 0–100 score. Immediately after a CHoCH there is no second leg to compare yet, so the panel honestly reports NEW TREND instead of a misleading health reading.
Works on every symbol and timeframe — forex, gold, indices, crypto and stocks — because every threshold is either structural or ATR-normalised, with nothing to configure per market.
SETTINGS — swing length (how major a swing must be), break on close or wick, the health threshold that flags weakening, swing labels and BOS/CHoCH lines on/off, number of events kept, structure candles on/off, and dashboard position.
ALERTS — BOS up, BOS down, CHoCH up, CHoCH down, and Structure Weakening (the early warning).
NON-REPAINTING — swings are built from confirmed pivots and every break is validated on bar close. A label or line that has printed never moves or disappears.
Every component here describes the same object — the market's structure — at a different resolution: the swings build it, BOS and CHoCH break it, Trend Health measures its condition, and the tape is its history. That is why they belong in one tool rather than five.
This indicator is an educational market-analysis tool, not financial advice. Trend Health describes the current structure's condition and does not predict future prices. Always confirm with your own analysis and manage your risk.
Pre-publish checklist Indicator
Jurik Moving Average Approximation🚀 JURIK MOVING AVERAGE APPROXIMATION (JMA)
The Jurik Moving Average Approximation (JMA) , engineered by gunebak4n , is an advanced, ultra-low lag, adaptive noise-reduction indicator framework designed for PulseWire. Built upon the legendary signal-processing principles conceptualized by Mark Jurik (Jurik Research) , this open-source implementation resolves the classical moving average tradeoff between lag and smoothness—delivering crisp, real-time trend tracking without erratic price oscillations or excessive signal delay.
Standard moving averages (such as SMA, EMA, or WMA) suffer from a fundamental lag-vs-noise dilemma: lengthening the period removes noise but introduces severe lag, while shortening the period reduces lag at the expense of excessive whipsaws. JMA overcomes this limitation by utilizing an adaptive, multi-stage recursive filtering process combined with a dynamic phase-adjustment mechanism. The result is an ultra-smooth, responsive curve that reacts instantly to sharp breakouts and price gaps while remaining stable during choppy, sideways consolidation.
💡 CORE DESIGN PRINCIPLES
🧭 Eliminating the Lag vs. Noise Dilemma
Conventional moving averages lag behind sudden market moves—especially during aggressive gaps or volatility expansions. JMA acts as a near-ideal noise filter: it tracks price action with minimal temporal delay while suppressing high-frequency market noise that leads to false signals.
🎛️ Fine-Tuned Phase & Power Control
Unlike standard averages that offer only a period setting, JMA provides modular fine-tuning controls:
• Phase (-100 to +100): Adjusts the balance between lag reduction and overshoot prevention. Positive values accelerate responsiveness for fast-moving markets, while negative values increase smoothness.
• Power: Controls the acceleration exponent of the smoothing curve, allowing traders to customize how aggressively the filter adapts to price velocity.
🌐 Native Multi-Timeframe (MTF) Capability
Equipped with Pine Script v5 multi-timeframe evaluation engines ( timeframe parameter), JMA enables you to seamlessly overlay higher-timeframe trend lines (e.g., Daily or Weekly JMA) onto lower-timeframe execution charts without breaking visual layout or causing repainting.
💡 KEY FEATURES
• Ultra-Low Lag Adaptive Tracking: Captures rapid price breakouts and market gaps instantaneously, giving traders earlier macro directional bias compared to traditional exponential or weighted moving averages.
• Dynamic Trend & Bar Coloring: Includes an optional visual execution engine that dynamically colors both the JMA line and chart price bars based on real-time trend direction (Bullish = Green, Bearish = Red).
• Integrated Alert System: Features pre-configured, non-repainting alertcondition events for bullish and bearish trend flips, enabling instant mobile notifications or webhooks for automated trading workflows.
🔬 MATHEMATICAL ARCHITECTURE
• Beta Coefficient: Beta = (0.45 * (Length - 1)) / (0.45 * (Length - 1) + 2.0)
• Alpha Coefficient: Alpha = Beta ^ Power
• Phase Ratio (PR): Mapped from Phase input (-100 to +100) into range
• Stage 1 (Raw Smoothing): e0 = (1 - Alpha) * Source + Alpha * e0
• Stage 2 (Trend Detrending): e1 = (Source - e0) * (1 - Beta) + Beta * e1
• Stage 3 (Phase-Adjusted Offset): e2 = (e0 + PR * e1 - JMA ) * (1 - Alpha)^2 + Alpha^2 * e2
• JMA_Current = JMA_Previous + e2
🛠️ USAGE FRAMEWORK
1. Trend Bias & Macro Axis
• Green JMA Line / Green Bars: Bullish regime. Focus on long entries, trend continuations, or buying pullbacks toward the JMA line.
• Red JMA Line / Red Bars: Bearish regime. Focus on short entries, trend continuations, or selling relief rallies toward the JMA line.
2. Dynamic Support & Resistance / Trailing Stop
Due to its low-lag and ultra-smooth profile, JMA functions as an exceptional dynamic trailing stop-loss boundary during sustained trend movements, preventing premature exits caused by minor intraday noise.
3. Replacement Proxy for Oscillators
Standard indicators (MACD, RSI, Stochastics) often generate false crossovers when calculated using raw price or EMAs. Passing the smoothed JMA output into these classical formulas yields significantly cleaner, higher-conviction oscillator signals.
⚙️ SYSTEM CHARACTERISTICS
• Zero Repainting: All calculations strictly evaluate on closed historical bar states.
• Fully Parameterized Inputs: Customize source price, length, phase, power, bar coloring, and color themes.
• Asset-Agnostic Engine: Operates with high precision across Equities, Forex, Crypto, Commodities, Futures, and Indices.
• Clean & Modern UI: Designed for high visual clarity on both dark and light chart themes.
📌 CREDIT & ATTRIBUTION
The Jurik Moving Average Approximation script is engineered and published by gunebak4n on PulseWire.
This indicator is based on the mathematical concepts of the Jurik Moving Average (JMA) originally conceptualized by Mark Jurik (Jurik Research) .
⚠️ DISCLAIMER
This script is an open-source community implementation and mathematical approximation of the JMA concept. It is not affiliated with, officially supported by, or endorsed by Mark Jurik or Jurik Research. This indicator is a technical analysis visualization tool and does not provide financial advice, automated trading signals, or profit guarantees. Always perform thorough backtesting and practice strict risk management. Indicator
Liquidity Sweep & ATR Envelope⚡ Liquidity Sweep & ATR Envelope
The market hunts stops. This tool shows you where it just happened — and whether price actually rejected the grab or kept right on going. 🎯
Liquidity sweeps caught at volatility extremes, confirmed by a real reclaim, fully resolved on the bar they fire. No repaint. No HTF trickery.
🔍 THE MECHANICS
📐 The envelope — an ATR band around a 20-period basis. It's the visual anchor on the chart AND the qualification threshold at once: the same measurement does both jobs, so there's no separate cosmetic ATR filter bolted on top.
🎯 Pivot + envelope, both required — a signal needs the wick to breach a confirmed pivot level AND clear the band plus a clearance buffer. Levels are one-shot: any wick through a tracked pivot consumes it, signal or not. Re-arms on the next confirmed pivot.
↩️ Reclaim, not just recovery — the close has to snap back past the swept level by at least half the wick's own penetration depth (adjustable, 0 to disable). A candle that barely creeps back over the line doesn't count as a rejection — the snap-back has to beat the sweep.
Levels are one-shot: any wick through a tracked pivot consumes it — signal or not — and the tool re-arms on the next confirmed swing. What you see is exactly what happened.
🛡️ Non-repaint by construction — pivots confirm after their right-side bars, and every signal, marker, zone, and alert is gated to bar close. A triangle that printed yesterday printed on that bar and never moved. What you backtest is what you trade. ✅
🎨 On the chart:
🌊 Hero ATR envelope with event-driven band glow — bands light up when price presses them or on a fresh sweep.
📦 Gradient sweep zones from swept level to wick extreme — historical signals legible at a glance.
👣 Swept-history footprints so you can read where liquidity already got taken.
🎛️ 8 themes (Suite, Ocean, Royal, Ember, Mono, Frost + full Custom), optional bar tint, trigger-threshold line, compact status table.
🔔 Clean JSON alerts (direction / level / trigger) — wire it straight into your automation.
⏱️ Timeframe notes — single-timeframe and scale-free. Every threshold is measured in ATR or as an intra-bar ratio, so it ports across instruments and timeframes with zero rescaling. Defaults are tuned on H1 and carry to M15 unchanged — comparable signal frequency and reclaim quality on both. On H4 and above the setup is rarer by nature; drop Pivot Left/Right to 3 if you want more events there. Read every signal as liquidity-location context, not a standalone entry — pair it with your structure read (or Confluence Context, regime/confluence indicator on my profile) for direction. 🧭
📈 How to use it — the tool tells you where the market just swept liquidity and rejected. Stack it with structure.
Built to one standard: still useful after it's been on your chart for a while. Indicator
Noise Adaptive RSINoise Adaptive RSI | MisinkoMaster
The Noise Adaptive RSI is an advanced momentum oscillator engineered to solve one of the most persistent problems in technical analysis: outlier spikes and market noise corrupting momentum calculations. Traditional RSI algorithms treat every sharp price spike as a genuine surge in strength or weakness. This often leads to false overbought or oversold readings during brief liquidity sweeps or news-driven spikes.
By integrating statistical Z-score thresholding and dynamic noise attenuation, the Noise Adaptive RSI identifies abnormal price spikes in real time and dampens their distortive effects. The result is a clean, highly reliable, and adaptive oscillator line that reflects true structural momentum without the lag or false breakouts caused by erratic market noise.
How It Works (The Core Architecture)
The indicator filters raw price changes through a three-stage statistical filter:
Statistical Outlier Detection: The algorithm evaluates localized price changes over a short correction lookback window, calculating moving standard deviations and tracking how far current price swings deviate from their rolling statistical averages using Z-score metrics.
Dynamic Noise Suppression: When a gain or loss exceeds a specified Z-score threshold (indicating a statistically anomalous spike or noise event), the engine applies a corrective square-root smoothing filter to temper that outlier move before it can distort the underlying indicator state.
Smoothed Relative Strength & Trend Tracking: The sanitized gains and losses are processed through a standard relative strength engine to plot a smooth, adaptive RSI line bounded between 0 and 100. A companion Exponential Moving Average (EMA) acts as an adaptive baseline signal line to confirm structural regime shifts.
Key Features
Outlier-Dampened Momentum: Prevents false momentum breakouts by automatically filtering out brief liquidity sweeps and erratic market spikes.
Dual-Confirmation Signal Line: Incorporates an adjustable signal line alongside the primary RSI curve to confirm trend shifts through signal line crossovers rather than relying solely on raw levels.
On-Chart Candlestick Synchronization: Automatically morphs the main price chart's candle colors (vibrant green for bullish trends, pink for bearish trends) based on oscillator and signal line alignment.
Velocity Divergence Histogram: Features a integrated rate-of-change histogram centered at the 50 level to highlight subtle shifts in momentum speed before they show up in price action.
Input Parameters & Optimization Guide
Source: Selects the price series used for calculations (Default: Close).
Length: The lookback period for the main Relative Strength smoothing engine (Default: 14).
Correction Lookback & Threshold: Controls how aggressively the script identifies and dampens statistical noise spikes. Decreasing the threshold increases noise filtering for erratic markets, while increasing it lets more raw price action through (Default: 8 / 1.5).
Moving Average Length: The lookback window for the EMA signal line, used to confirm momentum direction and filter out chop (Default: 14).
Trading Strategies & Execution
Dual-Confirmation Trend Shifts
Instead of depending on simple 50-level mid-line crosses, the Noise Adaptive RSI combines level positioning with signal line interaction to define high-probability trends:
Bullish Regime: Confirmed when the Noise Adaptive RSI is above 50 AND trading above its EMA signal line (turning chart candles green).
Bearish Regime: Confirmed when the Noise Adaptive RSI is below 50 AND trading below its EMA signal line (turning chart candles pink).
Signal Line Reversals & Pullbacks
In a strong trend, the yellow EMA signal line acts as dynamic support or resistance for the RSI line. During pullbacks, look for the RSI curve to bounce off the EMA line in the direction of the dominant trend for low-risk continuation entries.
Outlier-Filtered Extreme Zones
Because extreme spikes are statistically dampened, readings above 80 (Overbought) or below 20 (Oversold) represent true structural market overextension rather than short-lived liquidity traps, providing dependable signals for mean-reversion setups.
Disclaimer: Trading financial markets involves high risk. This technical script is designed as an informational analytical tool to support your rule-based mechanical execution system and does not constitute financial advice. Indicator
Innovation-Gated Hull Supertrend [BackQuant] Innovation-Gated Hull Supertrend
Overview
Innovation-Gated Hull Supertrend is an adaptive trend-following overlay that combines three distinct signal-processing components:
A Hull Moving Average projection for responsive trend estimation.
An innovation-gated recursive filter for adaptive noise reduction.
A volatility-based Supertrend applied to the filtered Hull estimate.
The indicator is designed to behave differently during quiet and active market conditions.
When the Hull estimate changes only slightly relative to recent volatility, the innovation gate restricts how much of that movement is admitted into the filtered trend estimate. The Supertrend bands can also expand during these quieter conditions, reducing sensitivity to minor fluctuations.
When a larger and statistically more meaningful change occurs, the gate opens. The recursive filter becomes more responsive, the Supertrend bands return closer to their base width, and the model is allowed to react more quickly.
The result is a trend framework that attempts to balance two competing requirements:
Remain stable when price movement is small and noisy.
Respond more quickly when new information produces a meaningful displacement.
The indicator does not predict future prices. It is a causal trend model that adapts its response according to the size of newly arriving information relative to the current volatility environment.
Core calculation chain
The complete calculation can be summarised as:
Calculate a Hull Moving Average projection from the selected price source.
Estimate current volatility using ATR, standard deviation, or a blend of both.
Compare the Hull projection with the recursive filter’s previous estimate.
Normalise that difference by volatility to calculate an innovation score.
Pass the score through a smooth logistic gate.
Use the gate to adapt the recursive filter’s measurement and process uncertainty.
Generate the innovation-filtered Hull estimate.
Optionally adapt the Supertrend band multiplier using the same gate.
Apply Supertrend logic around the filtered Hull estimate.
Generate bullish and bearish regime changes when the Supertrend changes sides.
Each stage solves a different problem.
The Hull projection provides a responsive directional input. The innovation filter decides how much of that input should be trusted. The Supertrend then converts the filtered estimate into a persistent trailing regime.
Historical background
The indicator combines ideas from several areas of technical analysis and signal processing.
Hull Moving Average
The Hull Moving Average was developed by Alan Hull as a method of reducing lag while preserving a smooth output.
Traditional moving averages face a basic trade-off:
Short averages respond quickly but contain more noise.
Long averages are smoother but react later.
The Hull Moving Average attempts to improve this balance by combining weighted moving averages of different lengths.
Its general construction is:
Fast WMA = WMA of price over approximately half the main length.
Slow WMA = WMA of price over the full length.
Raw Hull = 2 × Fast WMA - Slow WMA.
Final Hull = WMA of the Raw Hull over the square root of the main length.
The subtraction stage compensates for some of the delay introduced by the longer average. The final square-root smoothing stage reduces noise in the compensated series.
Recursive estimation and the Kalman-filter principle
The innovation filter is based on the general recursive-estimation framework associated with Kalman filtering.
The Kalman filter was developed by Rudolf E. Kálmán and became widely used in engineering, navigation, aerospace, robotics and control systems.
A recursive estimator typically follows two stages:
Predict the current state from the previous state.
Correct that prediction using the newest observation.
The correction depends on how uncertain the model is and how reliable the new observation is believed to be.
The difference between the observation and prediction is called the:
Innovation
In this indicator:
The observation is the current Hull projection.
The prediction is the previous filtered estimate.
The innovation is the difference between them.
A large innovation means the Hull projection has moved significantly away from the model’s prior estimate.
A small innovation means the new observation is close to what the model already expected.
Supertrend
Supertrend is a volatility-trailing concept built from an underlying price reference and ATR-based bands.
Its basic structure consists of:
An upper band above the reference.
A lower band below the reference.
One-sided trailing behaviour.
A regime switch when price crosses the opposing band.
In a bullish regime, the lower band acts as the active trail.
In a bearish regime, the upper band acts as the active trail.
This indicator modifies the conventional approach in two important ways:
The central reference is the innovation-filtered Hull estimate rather than a normal price midpoint.
The band multiplier can adapt according to the innovation gate.
Stage 1: Hull projection
The first stage calculates the Hull projection from the selected price source.
The script determines:
The full Hull length.
A half-length rounded to a valid integer.
A square-root length rounded to a valid integer.
It then calculates:
Fast WMA = WMA(source, half length)
Slow WMA = WMA(source, full length)
Raw Hull = 2 × Fast WMA - Slow WMA
Hull Projection = WMA(Raw Hull, square-root length)
The Hull projection is more responsive than many conventional moving averages of a similar nominal length.
However, responsiveness also means it can react to short-lived movements. For that reason, the Hull projection is not used directly as the final trend line. It becomes the observation supplied to the innovation filter.
Hull Length
The Hull Length controls the underlying trend horizon.
Lower values:
React more quickly.
Follow shorter trend legs.
Produce more local changes.
Admit more short-term noise into the next stage.
Higher values:
Produce a smoother projection.
Focus on broader trend structure.
Respond later to sudden reversals.
The Hull Length therefore controls the basic timescale of the model before any adaptive filtering or Supertrend logic is applied.
Stage 2: Volatility model
The innovation must be interpreted relative to current market conditions.
A movement of 10 points may be large in a quiet market but insignificant in a highly volatile market.
The indicator therefore normalises the innovation using a selectable volatility estimate.
Three modes are available:
ATR
Standard Deviation
Blend
ATR mode
Average True Range measures recent trading range while accounting for gaps from the previous close.
True Range is based on the greatest of:
Current high minus current low.
Absolute current high minus previous close.
Absolute current low minus previous close.
ATR then smooths True Range across the selected Volatility Length.
ATR is useful because it measures the realised movement range of the instrument.
It is sensitive to:
Wide candles.
Price gaps.
Range expansion.
Standard Deviation mode
Standard deviation measures how widely the Hull projection has varied around its recent mean.
It is a dispersion measure rather than a range measure.
Standard deviation responds to:
Variation in the selected series.
Directional displacement.
Changes in the distribution of the filtered input.
While ATR focuses on bar range, standard deviation focuses on dispersion of the Hull series itself.
Blend mode
Blend mode calculates the average of ATR and standard deviation.
Conceptually:
Blended Volatility = (ATR + Standard Deviation) / 2
This provides a combined estimate incorporating:
Observed range behaviour.
Statistical dispersion of the Hull projection.
Neither measure is universally superior. The blend attempts to reduce dependence on only one definition of volatility.
Volatility Length
The Volatility Length controls how quickly the normalisation baseline changes.
Lower values:
React faster to recent volatility changes.
Cause the innovation score to adjust more quickly.
May make the gate less stable.
Higher values:
Produce a slower volatility baseline.
Create more consistent normalisation.
May respond later when volatility changes abruptly.
The volatility estimate is prevented from falling below the instrument’s minimum tick size, avoiding unstable division during extremely quiet periods.
Stage 3: Innovation calculation
The filter begins each bar with a prediction.
In this implementation, the prediction is the previous filtered estimate.
The innovation is:
Innovation = Hull Projection - Previous Filter Estimate
The innovation may be positive or negative.
A positive value means the Hull projection is above the prior estimate.
A negative value means it is below the prior estimate.
The absolute innovation measures the size of the disagreement regardless of direction.
Innovation score
The raw innovation is normalised by current volatility:
Innovation Score = |Innovation| / Volatility
This expresses the new movement in volatility units.
For example:
A score of 0.25 means the innovation is approximately one quarter of the selected volatility measure.
A score of 1.00 means it is approximately equal to that volatility measure.
A score above 1.00 means the change is larger than the current volatility baseline.
The score is dimensionless, making it more comparable across instruments and price scales.
This is the key quantity used to determine whether the filter should remain cautious or become more responsive.
Stage 4: Logistic innovation gate
The innovation score is passed through a logistic function.
The logistic function has the form:
Gate = 1 / (1 + exp(-x))
Its output remains between zero and one.
In the indicator, the gate input depends on:
Innovation Score
Innovation Threshold
Gate Sharpness
Conceptually:
Gate Input = Sharpness × (Score - Threshold)
When the score is below the threshold:
The gate approaches zero.
The filter treats the new Hull movement cautiously.
When the score rises above the threshold:
The gate moves toward one.
The filter becomes more willing to admit the new movement.
The logistic function creates a smooth transition rather than a hard on/off switch.
This is important because a binary threshold could cause abrupt changes whenever the score moves slightly above or below one exact value.
Innovation Threshold
The Innovation Threshold determines where the gate begins moving from a quiet state toward an active state.
Higher values:
Require a larger volatility-normalised innovation.
Keep the filter conservative for longer.
Reject more moderate changes.
Lower values:
Open the gate sooner.
Increase responsiveness.
Allow smaller movements to influence the estimate.
The threshold should be interpreted in relation to the selected volatility model.
Gate Sharpness
Gate Sharpness controls how rapidly the logistic gate transitions around the threshold.
Lower sharpness:
Creates a gradual transition.
Produces a wider intermediate region.
Changes responsiveness smoothly.
Higher sharpness:
Makes the gate behave more like a hard switch.
Creates a faster transition near the threshold.
Produces stronger separation between quiet and active states.
An extremely high value can make the adaptive behaviour abrupt, while a low value may reduce the distinction between quiet and active conditions.
Admission Floor
The gate is converted into an admission value.
The Admission Floor ensures that the filter never completely ignores the Hull projection.
The admission calculation is:
Admission = Floor + (1 - Floor) × Gate
When the gate is near zero:
Admission remains near the selected floor.
When the gate is near one:
Admission approaches one.
A lower floor creates stronger filtering during quiet conditions.
A higher floor keeps the model more responsive even when innovation is small.
This setting prevents the estimator from becoming fully frozen.
Stage 5: Adaptive recursive update
The admission and gate values modify two uncertainty terms:
Measurement noise.
Process noise.
These terms control how the recursive filter balances its existing estimate against the new Hull observation.
Measurement Noise
Measurement Noise represents uncertainty in the incoming Hull projection.
Higher measurement noise tells the filter:
Trust the new observation less.
Remain closer to the previous estimate.
Produce more smoothing.
Lower measurement noise tells the filter:
Trust the Hull projection more.
Correct the estimate more aggressively.
Become more responsive.
The script adapts measurement noise using the admission value:
Adaptive Measurement Noise = Base Measurement Noise / Admission
When admission is low:
Measurement noise increases.
The new Hull movement receives less weight.
When admission is high:
Measurement noise moves closer to its base value.
The filter becomes more receptive.
Process Noise
Process Noise represents uncertainty in the filter’s current state model.
Higher process noise tells the estimator:
The underlying trend may be changing.
The previous estimate may no longer be reliable.
Allow faster adaptation.
Lower process noise tells it:
Assume the existing state remains relatively stable.
Change the estimate more cautiously.
The script increases process noise as the gate opens:
Adaptive Process Noise = Base Process Noise × (1 + Process Boost × Gate)
This creates a two-sided adaptive response.
During quiet conditions:
Measurement noise increases.
Process noise remains closer to its base level.
The filter resists small changes.
During high-innovation conditions:
Measurement noise decreases toward its normal value.
Process noise increases.
The filter becomes substantially more responsive.
Process Boost
Process Boost controls how strongly the process uncertainty expands when the gate opens.
Higher values:
Allow faster response to large innovations.
Increase the filter gain during active movement.
Can make the model more sensitive after shocks.
Lower values:
Keep behaviour closer to the base recursive filter.
Produce more controlled adaptation.
May respond more slowly to genuine regime changes.
Covariance and filter gain
The recursive filter maintains an internal covariance representing uncertainty in its estimate.
Before the new observation is processed:
Predicted Covariance = Previous Covariance + Adaptive Process Noise
The filter gain is then:
Gain = Predicted Covariance / (Predicted Covariance + Adaptive Measurement Noise)
The gain remains between zero and one.
A low gain means:
The previous estimate receives more influence.
The Hull observation receives less influence.
A high gain means:
The filter moves more strongly toward the current Hull projection.
The new estimate is:
Filtered Hull = Prediction + Gain × Innovation
The covariance is then updated for the next bar.
Why the filter is innovation-gated
A normal recursive filter may use constant process and measurement noise settings.
That means its responsiveness is broadly fixed.
This indicator changes those terms according to the size of the innovation.
The model therefore behaves differently under two broad conditions.
Quiet condition
When the Hull projection remains close to the prior estimate relative to volatility:
Innovation score is low.
Gate remains mostly closed.
Admission is limited.
Adaptive measurement noise rises.
Process noise remains lower.
Filter gain falls.
The filtered Hull changes more slowly.
Active condition
When the Hull projection moves meaningfully away from the prior estimate:
Innovation score rises.
Gate opens.
Admission approaches one.
Measurement noise decreases.
Process noise increases.
Filter gain rises.
The estimate adapts more quickly.
This allows the model to filter small movement without applying the same degree of resistance to every large move.
Stage 6: Innovation-adaptive Supertrend bands
The filtered Hull becomes the centre of the Supertrend calculation.
The initial raw bands are:
Upper Band = Filtered Hull + Factor × ATR
Lower Band = Filtered Hull - Factor × ATR
The Supertrend uses its own ATR Period, which is independent of the volatility length used by the innovation score.
This distinction is important:
Innovation volatility determines whether the filter should admit new information.
Supertrend ATR determines the distance of the trailing regime bands.
Adaptive band factor
When Adapt Bands With Innovation is enabled, the Supertrend factor changes according to the gate.
The adaptive factor is:
Adaptive Factor = Base Factor ×
When the gate is near one:
The adaptive factor approaches the base factor.
Bands become relatively tighter.
The Supertrend can respond more readily.
When the gate is near zero:
The factor expands above its base value.
Bands become wider.
Minor price fluctuations are less likely to cause a reversal.
This creates coordinated adaptation:
Quiet conditions produce stronger filtering and wider bands.
Active conditions produce faster filtering and narrower bands.
The same innovation state therefore influences both the centre estimate and the trailing threshold.
Quiet Band Expansion
Quiet Band Expansion controls how much wider the Supertrend factor becomes when the innovation gate is closed.
A value of zero disables the expansion effect even if band adaptation is enabled.
Higher values:
Create wider bands during low-innovation conditions.
Reduce quiet-market reversals.
Delay new signals until price moves further.
Lower values:
Keep the adaptive factor closer to its base setting.
Allow more responsive regime changes.
The expansion is greatest when the gate is near zero and fades as the gate opens.
Supertrend trailing logic
The raw upper and lower bands are converted into one-sided trailing bands.
The lower band is prevented from moving downward while price remains above its previous value.
The upper band is prevented from moving upward while price remains below its previous value.
This ratcheting behaviour creates:
A rising lower trail during bullish conditions.
A falling upper trail during bearish conditions.
A trend change occurs when price crosses the active opposing boundary.
In a bullish regime:
The lower band is the active Supertrend.
In a bearish regime:
The upper band is the active Supertrend.
ATR Period and Factor
ATR Period
Controls the volatility horizon used to construct the Supertrend bands.
Lower values:
React faster to current range changes.
Produce more variable band widths.
Higher values:
Produce a steadier range estimate.
Respond more slowly to sudden volatility changes.
Factor
Controls the base distance between the filtered Hull and the Supertrend bands.
Lower factors:
Create tighter bands.
Produce earlier regime changes.
Increase sensitivity to noise.
Higher factors:
Create wider bands.
Produce fewer regime changes.
Increase confirmation delay.
When adaptation is enabled, the selected factor acts as the minimum or active-condition factor. Quiet conditions may expand it further.
Trend signals
The indicator generates a long signal when the Supertrend changes into its bullish state.
It generates a short signal when the Supertrend changes into its bearish state.
The signal requires the completed calculation chain:
Hull projection.
Innovation filtering.
Adaptive band factor.
Supertrend regime change.
The plotted symbols are:
𝕃 for a bullish transition.
𝕊 for a bearish transition.
These markers identify regime changes. They are not complete trading systems and do not define stop placement, position size or profit targets.
Innovation impulse alert
The script also includes an Innovation Impulse alert.
This occurs when the innovation score crosses above the selected Innovation Threshold.
It indicates that:
The difference between the Hull projection and the recursive estimate has become large relative to volatility.
The gate is entering a more active state.
The filter is beginning to admit new information more aggressively.
An innovation impulse does not necessarily produce an immediate Supertrend reversal.
It can occur:
During acceleration within an existing trend.
At the beginning of a possible regime change.
During a temporary volatility shock.
It is therefore best interpreted as an information-arrival event rather than an automatic long or short signal.
Visual components
Hull Projection
Displays the unfiltered Hull Moving Average input.
This is useful for comparing:
The responsive raw projection.
The innovation-filtered result.
The final Supertrend.
The Hull projection will generally react first.
Filtered Hull
Displays the recursive innovation-gated estimate.
The distance between the Hull projection and filtered Hull helps illustrate the filter’s current behaviour.
During quiet conditions:
The filtered Hull may lag behind small changes.
During meaningful innovations:
It can move more rapidly toward the Hull projection.
IGH Supertrend
Displays the final volatility trail around the filtered Hull.
It is the primary regime output.
The line is coloured according to the persistent bullish or bearish trend state.
Candle colouring
Candles may be coloured according to the active Supertrend regime:
Bullish colour during the long regime.
Bearish colour during the short regime.
This provides immediate chart-wide directional context.
How to interpret the indicator
Bullish regime
A bullish regime indicates that price has crossed into the bullish side of the adaptive Supertrend structure.
The active trail is positioned below the market and can be interpreted as:
A dynamic trend boundary.
A possible pullback reference.
A regime invalidation guide.
Bearish regime
A bearish regime indicates that price has crossed into the bearish side of the adaptive structure.
The active trail is positioned above the market and may act as:
Dynamic resistance.
A rally reference.
A bearish regime invalidation guide.
Low innovation score
A low score means the current Hull movement is small relative to volatility.
The model responds by:
Filtering more strongly.
Reducing admission.
Using a lower recursive gain.
Potentially expanding the Supertrend bands.
This is intended to reduce reactions to small fluctuations.
High innovation score
A high score means the Hull projection has changed substantially relative to volatility.
The model responds by:
Opening the gate.
Increasing admission.
Increasing process uncertainty.
Raising the filter gain.
Reducing quiet-condition band expansion.
This allows a faster response when the incoming information is more significant.
Rising Hull without a trend flip
The Hull projection may turn before the filtered Hull or Supertrend.
This means:
The fast input has changed.
The adaptive filter has not yet admitted enough of that change.
The Supertrend boundary has not yet been crossed.
This is not an error. It demonstrates the staged confirmation design.
Innovation impulse without trend reversal
An innovation impulse can occur without a long or short signal.
This may indicate:
Acceleration in the existing trend.
A volatility shock.
An attempted reversal that has not crossed the Supertrend.
The Supertrend remains the final regime layer.
How to use the indicator
1. Trend regime filter
Use the active Supertrend state to filter another entry method:
Prioritise long setups during bullish regimes.
Prioritise short setups during bearish regimes.
2. Pullback framework
In a bullish regime, pullbacks toward the Supertrend may represent tests of the active trend boundary.
In a bearish regime, rallies toward the Supertrend may represent resistance tests.
A touch alone does not guarantee continuation.
3. Innovation monitoring
The innovation alert can be used to identify when the model detects a meaningful change in its input.
This may help direct attention to:
Fresh acceleration.
Breakout attempts.
Possible trend transitions.
4. Confirmation framework
The three optional lines can be read as a progression:
Hull projection changes first.
Filtered Hull adapts according to innovation.
Supertrend confirms the final regime.
This allows users to study the difference between early movement and confirmed structure.
5. Trailing risk reference
The final Supertrend may be used as a visual trailing reference.
However, it does not account for:
Account size.
Position size.
Slippage.
Liquidity.
Maximum acceptable loss.
It should not replace a complete risk-management process.
Parameter interaction
The settings should not be tuned independently without considering how they interact.
More responsive configuration
A more responsive setup may use:
Lower Hull Length.
Lower Innovation Threshold.
Higher Admission Floor.
Lower Measurement Noise.
Higher Process Noise or Process Boost.
Lower Supertrend Factor.
Lower Quiet Band Expansion.
This will generally produce earlier changes but more noise.
More conservative configuration
A more conservative setup may use:
Higher Hull Length.
Higher Innovation Threshold.
Lower Admission Floor.
Higher Measurement Noise.
Lower Process Boost.
Higher Supertrend Factor.
Higher Quiet Band Expansion.
This will generally create fewer transitions but greater delay.
Balanced interpretation
Changing several settings in the same direction can produce an extreme result.
For example:
A very low threshold, high admission floor, large process boost and tight Supertrend factor may overreact.
A very high threshold, low admission floor, high measurement noise and wide Supertrend factor may respond excessively slowly.
The appropriate balance depends on the instrument, timeframe and intended holding period.
How this differs from a standard Hull trend indicator
A standard Hull trend indicator normally uses:
Hull slope.
Price crossing the Hull.
A fast and slow Hull comparison.
This indicator instead:
Uses the Hull as an observation.
Measures its disagreement with a recursive estimate.
Normalises that disagreement by volatility.
Adapts the filter gain according to the innovation.
Applies a final Supertrend regime around the filtered result.
The Hull is therefore the beginning of the model, not the final signal.
How this differs from a fixed Kalman-style filter
A fixed recursive filter uses constant uncertainty settings.
Innovation-Gated Hull Supertrend adapts both measurement and process uncertainty according to the normalised innovation.
This means:
Small innovations are filtered more heavily.
Large innovations receive greater admission.
The response speed is therefore state dependent.
How this differs from a standard Supertrend
A standard Supertrend is commonly centred around a raw price reference such as HL2.
This indicator uses:
A responsive Hull projection.
An innovation-gated recursive estimate of that projection.
An optionally adaptive band multiplier.
The Supertrend is therefore built around a filtered trend estimate rather than raw price alone.
Strengths
Combines responsive and stable trend-processing stages.
Normalises new movement by current volatility.
Uses a smooth gate rather than a binary threshold.
Adapts measurement and process uncertainty.
Can widen trend bands during quiet conditions.
Can respond more rapidly to meaningful innovations.
Separates early movement from final regime confirmation.
Supports ATR, standard deviation and blended volatility models.
Provides trend, impulse and visual comparison outputs.
Limitations
The indicator is reactive rather than predictive.
Strong filtering can delay genuine reversals.
Responsive settings can increase whipsaws.
A large innovation may represent a temporary shock rather than a lasting trend.
Supertrend signals still depend on ATR and price crossing behaviour.
Parameter combinations can materially change the model’s behaviour.
The indicator may require different settings across assets and timeframes.
The recursive state develops from the available chart history.
Values can update while the current real-time candle is still forming.
Causality and real-time behaviour
The calculation uses current and historical observations without future-looking references.
However, like most indicators calculated on live candles, the current bar’s values can change before the candle closes.
This means:
The Hull projection may move intrabar.
The innovation score and gate may change intrabar.
A Supertrend transition may appear and disappear before confirmation.
Users requiring confirmed signals should evaluate the indicator at bar close or configure alerts accordingly.
Alerts
The indicator provides three alert conditions:
IGH ST Long: the adaptive Supertrend changes into a bullish regime.
IGH ST Short: the adaptive Supertrend changes into a bearish regime.
IGH Impulse: the normalised innovation score crosses above the selected threshold.
The impulse alert identifies increased information flow into the filter. It does not specify direction by itself because the innovation score uses the absolute size of the prediction error.
Summary
Innovation-Gated Hull Supertrend combines a responsive Hull Moving Average, a volatility-normalised innovation gate, an adaptive recursive filter and a volatility-trailing Supertrend.
The Hull projection provides an early estimate of directional movement. The recursive filter compares that projection with its prior state and measures the resulting innovation relative to ATR, standard deviation or a blend of both.
A logistic gate then determines how strongly the new movement should be admitted. During quiet conditions, the filter becomes more conservative and the Supertrend bands can expand. During meaningful displacement, the filter becomes more responsive and the bands move closer to their base width.
The final Supertrend converts the adaptive estimate into a persistent bullish or bearish regime.
The indicator is designed to make responsiveness conditional rather than fixed: small movements receive stronger filtering, while larger volatility-adjusted innovations are allowed to influence the model more quickly.
Indicator
Stocks vs Sector Leaderboard**Stocks vs Sector Leaderboard** compares the performance of up to 10 selected stocks against a sector index or other benchmark.
The indicator is designed to quickly show which stocks are **outperforming or underperforming their sector** over a configurable lookback period.
The default configuration compares a selection of ASX Energy stocks against the **S&P/ASX 200 Energy Index (XEJ)**, but both the stocks and benchmark are fully configurable.
**How it works**
For each selected stock, the indicator:
* Calculates performance over the selected number of bars.
* Calculates the benchmark's performance over the same period.
* Calculates relative performance as **Stock Performance − Sector Performance**.
* Estimates market capitalization using the latest available shares outstanding and current share price.
* Ranks the selected stocks by estimated market capitalization.
* Displays the results in a configurable leaderboard directly on the chart.
A positive **vs Sector** value means the stock has outperformed the benchmark over the selected period. A negative value means it has underperformed.
The lookback uses the **current chart timeframe**. For example, a lookback of 60 means 60 daily bars on a daily chart, 60 hourly bars on a 1-hour chart, or 60 weekly bars on a weekly chart.
**Configuration**
The indicator allows you to configure the benchmark, up to 10 stock symbols, performance lookback, table position, font size, normal text color, outperforming color, and underperforming color.
Although the default configuration uses ASX Energy stocks and XEJ, the indicator can be used with other sectors, indices, exchanges, or groups of stocks by changing the symbols in the settings.
**PulseWire request limit**
The indicator intentionally supports a maximum of **10 stocks** because it needs to retrieve external price and financial data for each symbol using Pine Script `request.*()` functions.
PulseWire imposes limits on the number of unique `request.*()` calls a script may make. On plans with a **40 unique-request limit**, increasing the number of stocks can cause the script to exceed that limit and fail to execute.
Because request limits and access to financial data can depend on the user's PulseWire plan, **this indicator may not work, or may have limited functionality, on PulseWire's free plan**.
**Note**
Market capitalization is an estimate based on share price and the latest shares-outstanding data available through PulseWire. It should be used for ranking and comparison rather than as an authoritative real-time market-cap figure.
This indicator is intended as an analysis tool and does not provide trading or investment advice.
Indicator
ATK/DEF MOM Momentum Motor AnalysisATK/DEF MOM Momentum Motor Analysis
ATK/DEF MOM Momentum Motor Analysis is a swing structure evaluation framework that combines momentum measurement with a multi-layer motor analysis model to examine the internal strength, speed, and condition of price movement around swing h and swing l.
Unlike traditional swing point indicators that only mark histo high and low locations, this indicator focuses on evaluating the momentum characteristics behind each detec swing structure.
The purpose of this framework is to analyze how momentum behaves around important price points by using momentum acceleration, velocity, strength, balance, and radar-based measurements to provide a deeper view of swing point conditions.
The system combines Swing H / Swing L detec with a Momentum Motor framework, creating a multi-dimel evaluation environment for stu histori price behavior.
Momentum Motor Framework
The Momentum Motor system is built around multiple momentum-based calcu designed to measure different characteristics of price movement.
The framework evaluates:
• Momentum direction
• Momentum strength
• Momentum acceleration
• Momentum speed
• Momentum stage condition
• Momentum balance
• Momentum activity intensity
These measurements are combined into a structured analysis model to describe the current state of momentum behavior.
The Motor concept represents the continuous evaluation process of momentum conditions, similar to monitoring the operating condition of a system by observing speed, power, and performance characteristics.
1. Momentum Engine Analysis
The Momentum Engine evaluates the relationship between basic momentum and momentum acceleration.
This module analyzes whether momentum activity is increasing, decreasing, or maintaining its current condition by examining:
• Momentum value changes
• Acceleration characteristics
• Momentum smoothing behavior
• Engine state variation
The purpose of this component is to describe the internal momentum condition beh price movement rather than simply measuring price direction.
2. Momentum Speed Rating Motor
The Speed Rating Motor evaluates the velocity of momentum changes.
This module measures how quickly momentum conditions are changing compared with recent momentum activity.
The evaluation includes:
• Momentum velocity
• Speed intensity
• Relative momentum acceleration
• Current activity level comparison
The rating framework categorizes momentum speed conditions into different grades to represent changes in market activity intensity.
This allo uss to stu whether a swing point developed during a high-activity momentum environment or a slower momentum condition.
3. Momentum Power Motor
The Power Motor evaluates the strength characteristics of positive and negative momentum.
This component analyzes:
• Momentum expansion
• Momentum weakening conditions
• Acceleration support
• Momentum pressure difference
The purpose is to provide additional context regarding the strength behind a swing h or swing l.
It does not classify future outcomes. Instead, it displays calculated momentum characteristics based on histori price da.
4. Momentum Market Stage Analysis
The Market Stage module evaluates momentum development conditions through the relationship between momentum values, smoothing measurements, and momentum changes.
The framework identifies different momentum states such as:
• Early momentum development
• Middle momentum expansion
• Late momentum condition
• Neutral / range condition
This provides a structural view of where momentum activity is currently positioned within the analyzed period.
5. Momentum Radar Evaluation
The Momentum Radar combines multiple momentum measurements into a unif analytical score.
The radar calculation considers:
• Momentum magnitude
• Momentum acceleration
• Momentum relationship with average momentum
• Momentum speed
The radar value represents the combined strength of measured momentum characteristics.
It is designed as a reference measurement for stu momentum conditions ac different swing structures.
6. Momentum Balance Analysis
The Balance Ind evaluates the relative relationship between positive and negative momentum forces.
This module studies:
• Bull momentum contribution
• Bear momentum contribution
• Momentum imbalance level
• Dominant momentum condition
The objective is to visualize the balan state of momentum activity rather than provide directional instru.
Swing High / Low Momentum Evaluation
Each detected Swing H and Swing L point is analyzed through the Momentum Motor framework.
Instead of treating all swing points equa, the indicator attaches momentum information to each structural point, including:
• Momentum speed rating
• Momentum power condition
• Momentum stage
• Motor operating status
This creates a momentum profile for histor swing structures.
A swing h or swing l is therefore viewed not only as a pric location, but also as a point containing momentum behavior information.
Key Features
• Swing High / Swing Low structural identification
• Momentum-based swing point evaluation
• Multi-layer Momentum Motor framework
• Momentum acceleration analysis
• Momentum speed rating system
• Momentum power evaluation
• Market stage analysis
• Momentum radar calculation
• Momentum balance measurement
• Analytical dashboard display
• Historical momentum condition labeling
Methodology
ATK/DEF MOM Momentum Motor Analysis combines swing structure analysis with quantitative momentum measurements to stu the relationship between pric movement and momentum behavior.
The framework focuses on analyzing the characteristics of momentum around histor price structures rather than relying on simple high/low marking.
All calcula are derived from histor price data and momentum measurements.
The displayed information is intended for technical analysis, market resear, and stu momentum behavior.
This indicator does not provide tra instruct, entry recommen, or guaran market outcs. Indicator
Indicator
Trend State Signals Trend State Signals is an adaptive trend-state indicator designed to identify changes in market direction while filtering out insignificant price fluctuations.
Instead of reacting to every short-term price movement, the indicator updates its state only when price travels far enough to exceed a dynamically calculated movement threshold.
The result is a step-like trend line that remains stable during periods of market noise and changes direction only after a meaningful price movement has occurred.
Unlike many traditional trend-following indicators that continuously track price, Trend State Signals intentionally ignores minor fluctuations, providing a cleaner and more objective view of whether the market is currently in a bullish or bearish state.
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⚙️ How It Works
The indicator estimates the current level of market activity by measuring the average absolute price movement over a user-defined lookback period.
Unlike many similar indicators, ATR is not used. Instead, the calculation follows these steps:
✔️ The absolute price change is calculated for every bar.
✔️ These values are smoothed using a Running Moving Average (RMA).
✔️ The smoothed result becomes a dynamic estimate of current market volatility.
✔️ This value is multiplied by the Range Multiplier, defining the minimum distance price must travel before the filter is allowed to update.
This adaptive threshold determines how far price must move before the internal filter changes its position.
If price remains inside the calculated range, the filter stays unchanged.
Once price exceeds that range, the filter shifts toward price while maintaining the adaptive distance.
Because the filter only updates after meaningful price expansion, the indicator naturally filters out a large amount of random market noise and significantly reduces unnecessary trend changes.
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📊 Trend State Detection
The market state is determined solely by the direction of the adaptive filter.
🟢 Filter moving upward → Bullish
🔴 Filter moving downward → Bearish
⚪ Filter unchanged → Previous market state is maintained
Signals are generated only when the filter changes direction.
Rather than producing continuous buy or sell signals on every candle, the indicator highlights transitions between bullish and bearish market environments.
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✅ Signal Confirmation
The indicator includes an optional signal confirmation mode.
When Confirm Signals On Bar Close is enabled, a new trend state is confirmed only after the current candle has closed.
When disabled, trend changes can appear immediately while the current bar is still forming.
This allows traders to choose between earlier signals or additional confirmation.
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🎛 Settings
Sensitivity Length
Defines the lookback period used to calculate the average market movement.
• Lower values make the indicator more responsive.
• Higher values produce a smoother adaptive filter.
Range Multiplier
Controls how much price movement is required before the filter changes its state.
Higher values
✔️ Fewer trend changes
✔️ Stronger noise filtering
✔️ Smoother trend line
Lower values
✔️ Earlier reactions
✔️ More frequent state changes
✔️ Higher sensitivity
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🎨 Visual Features
The indicator includes several independent visualization options, each of which can be enabled or disabled separately.
✔️ Adaptive Trend Line
✔️ Glow Effect
✔️ Gradient Ribbon Between Price and Filter
✔️ Bullish / Bearish Transition Labels
✔️ Optional Candle Coloring
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🔔 Alerts
Two alert conditions are available.
🟢 Bullish Trend State
🔴 Bearish Trend State
Alerts are triggered only when a new trend state is confirmed according to the selected confirmation mode.
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💡 Typical Use
Trend State Signals is primarily designed as a market state filter rather than a complete trading system.
It can be used to:
✔️ Identify the dominant market direction
✔️ Filter signals generated by other trading strategies
✔️ Trade only in the direction of the prevailing trend
✔️ Reduce trades caused by short-term market noise
Like any trend-following methodology, the indicator confirms trend changes only after the market has moved a sufficient distance. As a result, signals may appear after the initial turning point. This is an intentional design choice that helps reduce the impact of random price fluctuations while improving trend stability. Indicator
Smart Money Volume Absorption Signals I EonMetricsSmart Money Volume Absorption Signals
Volume Absorption marks a specific situation as a LONG or SHORT setup, with an entry, a stop and two targets. But instead of only printing an arrow and leaving you to reconstruct what happened, it tracks that setup through four stages and shows you exactly how far along it is — how many conditions are met, which one is still missing, how many bars are left before the setup is discarded, and what the same sequence has already done on the history your chart has loaded.
🔶 THE SITUATION IT TRACKS
A bar trades far more volume than its own recent normal, and then closes at the wrong end of its own range. Heavy participation that failed to pay the side that pushed: effort without result. The direction is set against the side that was absorbed — a heavy bar closing in the bottom third of its range is a short premise, one closing in the top third is a long premise.
One thing has to be said plainly, because it decides how much weight this premise deserves: total volume cannot tell you who traded. It cannot separate buyers from sellers. What this gate actually measures is heavy participation combined with a failure to hold the direction the bar travelled. The absorption reading is an interpretation of that pattern, not a measurement of order flow. If you want that distinction to matter less, the remaining three gates are where the work is done.
Absorption on its own happens constantly and most of it leads nowhere. So the tool requires three further confirmations, in order, before it marks anything.
🔶 THE FOUR GATES
G1 · ABSORPTION — bar volume lands in an extreme percentile of its own recent history while the bar closes in the far third of its own range. This gate fixes the direction and nothing later can change it. It also plants the invalidation anchor at that bar's extreme. Optionally the direction must agree with a slow trend filter.
G2 · REACTION — a following bar closes in the direction G1 set. The absorption produced something instead of merely stalling.
G3 · EXPANSION — a candle body in the top percentile of its own recent history, pointing the setup's way. That candle's OPEN becomes the origin level, and the origin level is where entry would be.
G4 · HOLD — price returns to the origin level and closes without violating it. Only now does the signal print, on bar close.
This is a retest model, not a breakout model, and the consequence is worth stating before you use it. A setup whose expansion runs away and never comes back to the origin level will never complete, no matter how far the move goes. You will see setups sit at 3/4 while price travels past the drawn targets, and then expire. That is the design working as intended — the entry is the retest — but if you want a tool that chases the move instead, this is not that tool.
The dashboard reads: which stage the setup is in, the direction, which gate is being waited on, the expiry countdown, the entry and stop levels, and the record of every completed setup on the loaded history.
🔶 ORIGINALITY
Five design decisions separate this from a stack of conditions with an AND between them.
Percentiles instead of ATR multiples. A fixed "1.5 × ATR" or "2 × average volume" threshold means something different in a trending market than in a compressed one, so it has to be re-tuned per symbol and per period. Every threshold here is a percentile rank against the instrument's own recent history — "top 30% of the last 200 bars" keeps its meaning when volatility changes, without tuning.
Gates do not add up to a score. Each gate is a separate class of evidence and none substitutes for another. Three expansion bars in a row are still 1/4, not 3/4. A weighted-sum model can be outvoted by one loud condition repeating itself; this one cannot. There is deliberately no confidence percentage anywhere in this script — with four binary gates in a fixed sequence, the only honest information is how many of them have filled, and dressing that up as a percentage would add precision that does not exist.
The setup dies on its own. Every tracked setup carries an invalidation anchor (a close beyond the absorption bar's extreme) and a bar countdown that resets at each gate advance. When either fires, the setup is discarded immediately — it does not linger until an opposite signal replaces it, and it does not quietly stay on the books.
One setup at a time. While a completed setup is still resolving toward its target or its stop, a new setup will not complete — it waits at 3/4 and may still fire later if the first one resolves in time, or expire if it does not. This exists so that what the dashboard counts is what a person following the tool could actually have taken, one position at a time, rather than an overlapping stack of positions nobody could hold.
It shows its own record. The last two rows of the dashboard walk every completed setup on the chart you are looking at, bar by bar, and count which level price reached first — Target 1 or the stop. The stop is checked before the target, so a bar that spans both counts against the setup, and the bar the signal prints on is not counted at all. That number is whatever it is. It is not a claim, it is not tuned to flatter, and it will read differently on every symbol and timeframe you load — which is exactly the point. You are meant to check it on YOUR instrument before deciding what the tool is worth to you, instead of taking anyone's word for it. Most signal tools do not show this. That is a choice they made, and this is a different one.
🔶 HOW IT IS CALCULATED
Both percentile ranks are ta.percentrank() over one configurable window — one on bar volume (G1), one on the absolute candle body (G3). The close position is (close − low) / (high − low), so it describes where the bar finished inside its own range rather than relative to any external level.
The optional trend filter is a plain exponential moving average of the closing price on the chart's own timeframe, used as a slow-trend proxy: long setups are only allowed above it, short setups only below it. Set its length to 0 to switch it off. There are no higher-timeframe data requests anywhere in this script.
Entry is the open of the expansion bar. The stop is the absorption bar's extreme, plus an optional buffer in ticks. Both targets are multiples of that entry-to-stop distance, so they scale with the setup instead of with a fixed price amount. Target 1 is the level the record row measures against; Target 2 is drawn for reference only.
Every gate is evaluated and latched on confirmed bars only. There is no lookahead and there are no forward-looking references. A filled gate is never un-filled retroactively; the live bar can only be rejected, never rewritten. A bar that would satisfy two gates at once advances the setup by exactly one step — each gate has to be paid for with its own bar.
The chart geometry is redrawn from scratch on the last bar rather than accumulated, so what you see on the chart is always the setup the dashboard is describing, and closed setups do not leave debris behind.
🔶 ALERTS
Six conditions: setup reached 2/4, setup reached 3/4, signal LONG, signal SHORT, setup expired, setup invalidated.
The staged alerts follow from the same idea as the meter: being told a setup is one gate away is more useful than only being told after it is over.
🔶 HOW TO USE
1. Read the record row before anything else. Load your instrument and your timeframe and see what it says there. If it does not convince you, that is the tool telling you honestly that it is not for that market.
2. Check the sample size in the same row. A run of ten or twenty setups is an anecdote. The row flags small samples for exactly this reason.
3. Watch the meter, not the arrows. Most of the information is in setups that reach 2/4 or 3/4 and then die — that tells you what the market is refusing to do.
4. The stop sits at the absorption bar's extreme by default, which is tight. On fast intraday charts try the Stop Buffer input and watch how the record row responds.
5. The trend filter changes the population of setups substantially. Check the record row with it on and with it off on your own market before deciding which you prefer.
6. Set the 3/4 alert if you want to be at the chart before a setup completes rather than after.
🔶 SETTINGS
Volume (percentile window) · Gate Thresholds (G1 volume percentile, G1 close position, G3 body percentile, trend filter length, setup TTL) · Trade Levels (draw toggle, stop buffer in ticks, two R-multiple targets) · Display (dashboard and position, current-signal marker, all-past-signals marker, colors).
🔶 HONEST LIMITATIONS
Volume alone cannot be attributed to buyers or sellers. This tool reads total bar volume against the bar's close position. It does not know who traded, and it is not order-flow data. Treat the absorption premise as a reading of effort against result, which is what it is.
The volume itself is only as good as the feed. On spot forex and CFDs the exchange reports TICK volume rather than real traded volume, so the percentile ranks describe activity rather than quantity. On symbols with no volume data at all the gates cannot fill, and the dashboard says so in its top-right corner.
The retest requirement will cost you moves. As described above, setups that never return to the origin level expire unfilled even when price travels well beyond the drawn targets. This is structural, not a bug, and on strongly trending stretches it happens often.
Percentiles are relative to their window. After an abrupt change of volatility regime the ranks need a few dozen bars to catch up, and during that stretch the thresholds are still measuring the old regime.
The record row is an honest count, not a backtest. It assumes a fill at the exact entry price and it ignores fees, spread and slippage — all of which work against you in reality, and all of which matter a great deal when the outcome is close to even. A record that looks positive before costs can be negative after them. It also covers only the setups on the history your chart has loaded, which on intraday timeframes is a small sample.
Results vary far more between markets than between settings. The same script on the same timeframe can produce a very different record on two different symbols, and there is no timeframe this tool is generally "best" on. Any suggestion otherwise would be an invention. Check your own market.
This tool describes a sequence of conditions in price and volume. It does not forecast anything, it makes no claim about how often the sequence resolves favourably, and the drawn levels are the geometry of the setup, not a recommendation. It is published for analysis and education, it is not financial advice, and past behaviour of a pattern does not guarantee its future behaviour. Check the record on your own market, manage your own risk, and decide for yourself.
Part of the EonMetrics toolset.
Indicator
HTF Power of 3 (PO3) with Trailing Stop🔵 OVERVIEW
The HTF Power of 3 (PO3) with Trailing Stop is a technical indicator created by BigBeluga to capture institutional market cycles based on Smart Money Concepts (SMC). Detecting market manipulation phases and structural accumulation zones has always been a major challenge in technical analysis, as traditional breakouts often lead to false signals and whipsaw trades. In order to provide a solution to this problem, this indicator maps higher timeframe (HTF) Power of 3 cycles—breaking price action down into Accumulation, Manipulation, and Distribution phases—combined with an advanced volatility-based trailing stop engine.
The indicator aims to visualize institutional order-building and subsequent expansions. The core element of its calculation involves tracking HTF session levels alongside a dynamic ATR-based trailing threshold defined as:
trailingStop = close ± currentAtr * trailMultiplier
where currentAtr is the standard Average True Range of period atrPeriod , and trailMultiplier is the sensitivity footprint multiplier. Higher values of accumMultiplier and trailMultiplier allow the indicator to adjust to longer consolidation periods and filter out minor market noise.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — Auto HTF Matrix Mode & Session Engine
Dynamic Timeframe Scaling: When enabled, the indicator automatically scales the higher timeframe matrix dynamically based on your current chart timeframe context.
Session Tracking: Continuously calculates local open, high, low, and close parameters across higher timeframe layers to project real-time structural candles on the right side of your chart.
2 — Power of 3 (PO3) Phase Breakdown & Peak Labels
Accumulation Phase: Maps the initial consolidation boundary lines over a defined accumMultiplier bar count, outlining the high and low thresholds where institutional orders cluster.
Manipulation Phase & Peak Labels: Triggers automatically when price breaks out of the accumulation boundaries, identifying fakeouts and plotting a peak manipulation label marked with an M at the extreme high or low.
Distribution Phase & Peak Labels: Transitions into the expansion phase once the trailing stop is breached, tracking the final leg of the institutional delivery cycle and plotting a peak distribution label marked with a D .
3 — Dynamic Trailing Stop & Cloud Fill
Volatility Boundaries: Employs a robust ATR trailing line that shifts dynamically to lock in profits and signal shifts in market bias.
Visual Cloud Fills: Dynamically colors and fills the space between price action and the trailing stop line to offer clear visual confirmation of trend direction.
🔵 HOW TO USE
Apart from the basic visualization of institutional market cycles, this tool can also act in alternative ways to support decision-making:
Identify Accumulation Zones: Monitor the orange accumulation channel during the early stages of an HTF session to spot tight consolidation ranges before an expansion.
Trade the Manipulation Breakout: Wait for price to sweep outside the accumulation boundaries to trigger a "Manipulation" label and an M peak marker, signaling an institutional run on liquidity before the true directional move.
Manage Risk with Trailing Stops: Use the dynamic trailing stop line, cloud fill, and subsequent D distribution peak markers as a trailing stop loss mechanism to guide entries, manage open positions, and catch the final distribution leg.
🔵 NOTES
Why this implementation is unique:
It automates complex multi-timeframe ICT concepts directly onto lower timeframe charts without requiring manual chart reconfiguration.
The right-aligned visual projection engine gives traders a clear look at the developing higher timeframe candle and session metrics without cluttering active price history.
The script is fully optimized for Pine Script version 6, integrating seamless label sizing and automated line management for maximum rendering performance.
Indicator
SNIPERS CANDLESSNIPERS CANDLES
SNIPERS CANDLES is an enhanced PVSRA volume analysis indicator that classifies candles according to relative trading activity while introducing a configurable Volume Participation Baseline for additional market participation analysis.
The indicator combines traditional PVSRA candle classification with an independent participation threshold, allowing traders to compare current trading activity against both recent market behaviour and configurable average volume levels within a single visual tool.
How the Indicator Works
The indicator analyses volume using the PVSRA methodology and classifies each candle into one of three participation levels.
Normal Volume
Represents standard market participation.
150% Volume
Highlights candles where volume exceeds approximately 150% of the recent average, indicating increasing market participation.
200% Volume (Vector Candle)
Highlights candles where volume exceeds approximately 200% of the recent average or produces exceptional volume relative to recent price range activity, identifying significant market participation.
Bullish and bearish candles are colour coded independently to preserve directional context.
Volume Participation Baseline
In addition to standard PVSRA candle classification, SNIPERS CANDLES includes a configurable Volume Participation Baseline.
The Participation Baseline calculates an average volume over a user-defined lookback period and applies an optional multiplier to create a dynamic participation threshold.
This allows traders to compare current trading activity against configurable average participation levels rather than relying solely on fixed PVSRA classifications.
The Participation Baseline is designed to complement the original PVSRA methodology by providing additional context when market participation transitions between below-average and above-average volume.
Instrument Override
For cryptocurrency markets, the indicator can automatically retrieve volume data from the equivalent Binance Perpetual Futures contract when available.
Where an equivalent perpetual contract is unavailable, the indicator automatically falls back to the chart's native volume data.
A manual symbol override is also included for users who wish to specify an alternative volume source.
Features
Traditional PVSRA candle classification
150% and 200% vector candle detection
Independent bullish and bearish candle colouring
Configurable Volume Participation Baseline
Adjustable Participation Baseline lookback period
Configurable Participation Baseline multiplier
Customisable Participation Baseline colour and width
Automatic Binance Perpetual Futures volume support
Manual volume source override
Main-chart candle colouring
Colour-coded volume histogram
Configurable alerts
Alert Conditions
The indicator includes alert conditions for:
Any Vector Candle
Any 200% Volume Peak Vector Candle
Any 150% Volume Rising Vector Candle
Bullish 200% Vector Candle
Bearish 200% Vector Candle
Bullish 150% Vector Candle
Bearish 150% Vector Candle
Volume Crossing the Participation Baseline
Volume Crossing Above the Participation Baseline
Volume Crossing Below the Participation Baseline
Participation Baseline alerts are designed to identify changes in market participation as trading activity transitions above or below the configured threshold.
Intended Use
SNIPERS CANDLES is designed to provide visual context for analysing:
Relative market participation
High-volume trading activity
Volume confirmation
Market momentum
Trend participation
Price action
Multi-timeframe analysis
The indicator is intended as an analytical tool and does not generate automatic buy or sell signals. It is designed to complement the trader's own market analysis, price action and risk management process.
Markets
The indicator can be applied to all PulseWire-supported markets, including:
Forex
Indices
Commodities
Cryptocurrencies
Equities
When enabled, cryptocurrency markets can automatically utilise Binance Perpetual Futures volume where available.
Disclaimer
This open-source indicator is provided free of charge for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users remain responsible for their own analysis, trading decisions and risk management.
Created by Market Sniper HQ
Trade Like a Sniper, Not Like the Crowd.
Indicator
SNIPERS EMAs + VWAPSNIPERS EMAs + VWAP
SNIPERS EMAs + VWAP is a configurable trend and market value analysis tool that combines five Exponential Moving Averages with session VWAP in a single overlay indicator.
The moving averages provide a structured view of short-, medium- and long-term trend direction, while VWAP provides a volume-weighted reference for the average price traded during the active session. Combining them allows traders to compare trend structure with session value without loading multiple separate indicators.
How the Indicator Works
The script plots the following exponential moving averages:
10 EMA
20 EMA
50 EMA
200 EMA
800 EMA
The shorter-period EMAs respond more quickly to recent price movement and can help assess momentum and pullbacks, while the longer-period EMAs provide broader trend context and potential areas of dynamic support and resistance.
VWAP calculates the session's volume-weighted average price, providing an intraday reference based on both traded price and volume.
These calculations are displayed together because they provide two different forms of market context:
EMAs – Trend direction across multiple time horizons.
VWAP – Volume-weighted session value.
When an EMA and VWAP are trading near the same price area, the overlap can provide additional confluence when analysing pullbacks, dynamic support, dynamic resistance or broader market structure. Confluence alone should not be considered a trading signal.
Features
10, 20, 50, 200 and 800-period EMAs
Optional VWAP display
Individual visibility controls for each EMA
Customisable colours
Adjustable EMA and VWAP line widths
Price cross alerts for every EMA
Price cross alerts for VWAP
Configurable EMA/VWAP confluence tolerance
Confluence alerts for the 50, 200 and 800 EMAs
Alert Conditions
The indicator includes alert conditions for:
Price crossing above or below each EMA
Price crossing above or below VWAP
The 50 EMA entering the selected VWAP proximity range
The 200 EMA entering the selected VWAP proximity range
The 800 EMA entering the selected VWAP proximity range
The confluence tolerance is percentage-based so it adapts to instruments with different price scales. A confluence alert is triggered when an EMA first enters the configured proximity range around VWAP rather than on every bar while it remains within that range.
Alerts always follow the chart symbol and timeframe selected when the alert is created.
Intended Use
This indicator is designed to provide visual context for:
Trend direction
Pullbacks within a trend
Dynamic support and resistance
Session value
EMA and VWAP confluence
Multi-timeframe market analysis
It does not generate automatic entries, exits or standalone buy or sell signals. It is intended to complement price action, market structure and sound risk management rather than replace them.
Markets
The indicator can be applied to all PulseWire-supported markets, including:
Forex
Indices
Commodities
Cryptocurrencies
Equities
VWAP behaviour depends on the instrument's available volume data and trading session structure.
Disclaimer
This indicator is provided free of charge for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users remain responsible for their own analysis, trading decisions and risk management.
Created by Market Sniper HQ
Trade Like a Sniper, Not Like the Crowd.
Indicator
