Volatility Squeeze Breakout [JOAT]Volatility Squeeze Breakout
Finds volatility compression — when Bollinger Bands contract inside the Keltner Channel — and signals the directional release with a built-in energy gauge.
What it is
Markets alternate between coiling and expanding. This indicator detects the coil using the classic squeeze relationship between two well-known volatility envelopes, quantifies how much energy has built up, and then signals the breakout in the direction momentum actually resolves. It is an original implementation with a charge model and full trade framing, not a bare squeeze dot script.
How it works
• The squeeze — a squeeze is on when the Bollinger Bands (price standard deviation) contract entirely inside the Keltner Channel (ATR-based). This means realised volatility has fallen below its typical range and the market is compressing.
• Charge / energy — while the squeeze persists, the tool tracks how long and how tightly the market has been coiled and expresses it as a 0–100 charge. A longer, tighter coil stores more potential energy for the eventual expansion.
• Momentum direction — a smoothed momentum measure determines which way the coil is leaning, so the breakout is read directionally rather than as a neutral event.
• The release — a Buy fires when the squeeze releases with rising positive momentum; a Sell fires when it releases with falling negative momentum. The release is a discrete event, and a minimum-gap control prevents repeated prints around the same break.
Trade levels
On a signal, a red risk box marks entry to the ATR stop and a green reward box marks entry to the third target, with inner dividers and right-edge labels for entry, stop and each take-profit at your R multiples.
The dashboard
An adjustable energy-gauge panel shows the squeeze state, the charge that had accumulated at the moment of release, the momentum direction, a conviction estimate, the active signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on any asset and timeframe; volatility cycles exist at every scale.
• Watch the charge build during a squeeze, then act on the release in the momentum direction.
• Higher charge readings indicate a longer coil, which some traders treat as a higher-quality setup — but a big coil can still resolve in either direction, so the momentum gate matters.
Settings
Bollinger length and multiplier, Keltner length and ATR multiplier, momentum length, release and charge options, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The squeeze concept is public domain; the value added here is the charge model that turns coil duration and tightness into a readable energy figure, the directional momentum gate on the release, and the integrated non-repainting trade framing — combined and explained so a trader can see exactly why each breakout is flagged.
Notes and limitations
• Squeeze breakouts can fail or fake out; a release does not guarantee follow-through.
• The charge measures compression, not direction — always confirm with the momentum reading and your own context.
• The tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicador
Multiday VWAP by ByblloMultiday VWAP by Bybllo
OVERVIEW
This indicator plots up to 5 independent rolling Volume Weighted Average Price (VWAP) lines, each anchored a different number of calendar days back from the present bar (default: 2, 3, 4, 5, and 6 days back). Unlike a standard session VWAP that resets every day, each line here accumulates price*volume continuously from its own anchor day up to the current bar, giving traders a set of rolling reference levels for recent multi-day price/volume balance.
I built this for my own trading because I couldn't find an existing community script that did exactly this — a set of independent, multi-day rolling VWAP lines in one indicator — so I'm sharing it in case it's useful to others too.
KEY FEATURES
- 5 independently configurable rolling VWAP lines — toggle visibility, set the lookback in calendar days, and pick a color for each line individually.
- Lookback days are entered as calendar days (weekends included), so "6 days back" always lands on the same relative session regardless of where in the week you are.
- Real-price calculation — prices are pulled via request.security() against the plain ticker, so the VWAP values are identical whether your chart is displaying candlesticks, Heikin Ashi, Renko, or any other non-standard chart type. Volume is unaffected by chart type and is used as-is.
- Robust new-day detection — instead of relying on the chart's own bar-by-bar progress to detect a new trading day (which can be unreliable right after the chart first loads), this script requests daily-resolution data directly. Daily data loads much faster than intraday data, so the VWAP anchors are detected reliably even immediately after opening the chart.
HOW TO USE
Open the indicator settings and, for each of the 5 lines, set how many calendar days back you want that VWAP to start accumulating from. Use the lines as dynamic support/resistance or fair-value reference levels, similar to how a session VWAP is used, but for multi-day accumulation periods.
NOTES
- This script requires volume data from your data provider. If no volume is available for the symbol, the VWAP values will not calculate correctly.
- "Rolling Days" counts calendar days, not trading/session days.
Feedback and suggestions are welcome. Indicador
Capitulation Stretch Reversion [Jayadev Rana]OVERVIEW
Capitulation Stretch Reversion is a long-biased, price-action mean-reversion strategy. Its thesis is simple: in an established uptrend, sharp multi-bar pullbacks that stretch price well below its short-term mean tend to snap back. The strategy waits for that stretched, capitulating condition, enters on the first sign of a turn, and exits when price reverts to the mean.
Everything is derived from raw price and range (EMAs of price and Average True Range) - there are no oscillators or external data.
HOW IT WORKS
1. Regime filter. A long EMA (default 200) defines the regime. Long trades are only permitted while price is above it, keeping every entry aligned with the prevailing drift. A symmetric short side exists but is OFF by default (see Direction).
2. Stretch + capitulation. A setup can only arm when price has extended at least a set number of ATRs below a short reversion mean (default 0.5 x ATR from a 5-EMA) AND has printed a run of consecutive lower closes (default 2). This is the "capitulation" filter - it avoids buying shallow noise and waits for a genuine flush.
3. Entry. When the stretched, capitulating condition is met and the current bar closes back up (a reversal bar), a long is taken on the confirmed bar.
4. Exit - three ways. The target is a reversion to the mean: the position is closed once price closes back at or above the reversion EMA. A protective stop sits a wide, volatility-based distance below entry (default 3 x ATR). A time stop closes any trade that has neither hit target nor stop within N bars (default 10).
WHY THE STOP IS WIDE
Mean reversion trades a high hit-rate against an unfavourable reward-to-risk: the target (a snap back to the mean) is near, while the protective stop is deliberately wide so normal wobble does not knock you out. This produces frequent winners but occasional losers that are larger than a typical win. That trade-off is intentional and is shown honestly in the results below - read the LIMITATIONS section carefully.
BACKTEST (defaults, on the loaded history)
Tested on SPY daily with the default inputs and the properties set in the script (10,000 initial capital, 100% of equity per trade, 0.03% commission, 2 ticks slippage). On the sample available in the Strategy Tester this produced roughly a 67% win rate with a profit factor near 1.67, a max drawdown around 10%, and no margin calls, modestly ahead of buy-and-hold over the same window. This is a limited in-sample backtest, not a forward result - your own data window, symbol, fees and fills will differ.
SETTINGS
Regime EMA Length - trend filter that gates entries.
Reversion Mean Length - the EMA used as the snap-back target.
Stretch (ATR from mean) - how far price must extend before a setup arms.
Capitulation Bars - consecutive closes required to confirm exhaustion.
Protective Stop (ATR) and Time Stop (bars) - the exit envelope.
Direction - Trade Longs (on) and Trade Shorts (off by default; counter-trend shorts on up-drifting index ETFs have a much lower hit-rate).
Dashboard - live regime, position, win rate, profit factor and net profit.
LIMITATIONS
Signals are evaluated on bar close, not intraday. The reported win rate is in-sample on a finite history and will not persist unchanged out of sample. Because winners are small and losers wide, a cluster of stopped trades can still produce a meaningful drawdown despite a high win rate - position size accordingly. Percent-of-equity sizing at 100% is for demonstration; use realistic risk-based sizing in practice. Mean reversion underperforms in strong, one-directional trends where price never stretches, and can suffer if a pullback turns into a full regime change. This script is a research and educational tool, not financial advice or a guarantee of future performance.
ORIGINALITY
The contribution is the specific combination: an ATR-normalised "stretch" distance from a fast mean, gated by a consecutive-lower-close capitulation count and a regime filter, with a mean-touch target against a wide ATR stop and a time stop. It is built from first principles on price and range, not a wrapper around a built-in indicator. Estratégia
Adaptive Momentum Ribbon [JOAT]Adaptive Momentum Ribbon
An eight-layer moving-average ribbon whose colour is driven by live momentum and whose compression flags the coil before the move.
What it is
A single moving average tells you very little. A ribbon of them, fanned by speed, tells you three things at once: direction (the colour), strength (how wide it fans) and turning points (where it squeezes and flips). This indicator builds that ribbon and adds a momentum core and a compression detector so the ribbon is not just decorative — it gates the signals.
How it works
• The ribbon — eight exponential moving averages from fast to slow, with an optional light second smoothing pass for cleaner turns. When the fast layers sit above the slow layers the stack is bullish, and vice versa.
• Momentum core — a rate-of-change normalised by ATR and then smoothed. This value is mapped onto a colour gradient, so a strong trend glows saturated while a fading one drifts toward neutral. The same value gates entries, so you buy strength rather than every flip.
• Compression detector — the width between the fastest and slowest ribbon lines is ranked as a percentile over a lookback window. A low percentile means the market is coiled; a move out of that coil is the tradable expansion. Coils are highlighted so you can see energy building.
• Flip signals — a Buy prints when the ribbon flips up out of (or just after) a compression with positive momentum; a Sell is the mirror. Because a flip requires the stack to actually reverse, signals are naturally spaced, and a minimum-gap control adds a further safeguard against clustering.
Trade levels
Each signal draws a red risk box to the ATR-based stop and a green reward box to the third target, with inner target lines and right-edge price labels for entry, stop and every take-profit at your chosen R multiples.
The dashboard
An adjustable panel shows trend direction, a block-gradient momentum meter with a signed headline value, the compression state (coiled or expanded), a 0–100 conviction estimate, the current signal, and a live first-target-before-stop tally from closed bars only.
How to use it
• Works on all assets and timeframes; the ribbon adapts to whatever data it is given.
• Use the coil highlight to prepare for a move and the flip-with-momentum signal to time it.
• Require the coil filter for cleaner, fewer signals in choppy markets, or relax it for more responsive trend entries.
Settings
Base length and layer step, source, optional smoothing, momentum length and smoothing, signal momentum gate, compression window and percentile threshold, risk multiple and target R multiples, plus visual and dashboard controls.
Originality and usefulness
The combination is the point: a speed-fanned ribbon, an ATR-normalised momentum gradient that both colours the ribbon and filters signals, and a percentile-ranked compression model that isolates coils. Together they turn a familiar visual into a structured, non-repainting trend-and-expansion tool.
Notes and limitations
• Moving averages lag by nature; the ribbon confirms trend, it does not call exact tops or bottoms.
• In strong one-way trends the compression filter may keep you out of some continuation entries — that is the intended trade-off for fewer false flips.
• The tally reflects only past bars on the current chart and is not a forecast.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicador
AutoFractal MTF Adaptive Projection [Aaron Diaz]TITLE
AutoFractal MTF Adaptive Projection
ENGLISH DESCRIPTION
OVERVIEW
AutoFractal MTF Adaptive Projection searches for historical price structures that resemble a user-defined current structure. The historical search timeframe is independent from the chart timeframe, so a trader can view a daily chart while searching for analogs on 4-hour, 2-hour, daily, or other supported timeframes.
The script is designed as a market-structure comparison and scenario-projection tool. It does not generate buy or sell signals, and its projected path must not be interpreted as a guaranteed forecast.
HOW IT WORKS
1. Historical search range
The user selects a start date, an end date, and a historical source timeframe. The script evaluates candidate structures only inside that selected period.
2. Current target structure
The structure to be matched can be defined using the latest N chart bars or a manual date range on the current chart.
3. Normalized comparison
Historical and current structures are compared using normalized log returns rather than absolute prices. This allows patterns from different price levels and different market regimes to be compared on a proportional basis.
4. Composite similarity score
Each historical candidate receives a score based on:
- Shape and correlation.
- Retracement and Fibonacci behavior.
- Relative amplitude.
- Directional agreement.
Inverse fractals can be enabled when the user wants to compare a bullish structure with an inverted bearish analog, or vice versa.
5. Adaptive projection
After a match is selected, the script uses the historical continuation as an analog scenario. Three adaptation methods are available:
- Percentage: adapts the historical continuation using proportional price movement.
- Fibonacci: adapts the continuation using the relationship between historical and current structural ranges.
- Smart hybrid: combines percentage and Fibonacci adaptation.
The script can automatically adapt both price amplitude and time duration to the current structure.
6. Manual drawing controls
The automatically fitted historical path and future projection can be adjusted independently. Users can change their height, width, horizontal position, and vertical position without changing the historical match itself.
VISUAL OUTPUTS
- Historical match box: marks the selected analog period.
- Fitted historical pattern: overlays the normalized historical structure on the current target.
- Future projection: displays the continuation that followed the historical analog, adapted to the current structure.
- Diagnostics table: shows the search timeframe, matched dates, total score, correlation, retracement score, amplitude scale, time scale, and number of evaluated candidates.
BASIC USE
1. Select the historical search timeframe.
2. Select the historical start and end dates.
3. Define the current target structure.
4. Set the historical pattern length and future projection length.
5. Adjust the minimum score and scoring weights if necessary.
6. Choose Percentage, Fibonacci, or Smart hybrid adaptation.
7. Use the manual drawing controls only after reviewing the automatic fit.
INTERPRETATION
The total score measures similarity under the script's selected criteria. It is not a probability of the projected path occurring. A high score means that the compared structures are mathematically similar according to the configured inputs; it does not mean that market context, liquidity, news, volatility, or order flow are identical.
LIMITATIONS
- Historical analogs can fail and should not be treated as deterministic forecasts.
- Results depend on the selected date range, timeframe, pattern length, score weights, and available historical data.
- Enabling the current unconfirmed bar can cause the selected match and projection to change intrabar.
- Lower-timeframe searches may require more data and processing resources.
- Manual resizing improves visual alignment but does not increase the statistical validity of the match.
- The indicator does not provide entries, exits, stop losses, or position sizing.
OPEN-SOURCE REUSE AND CREDITS
This script is a derivative work based in part on the open-source script "Auto Fractal " originally published by TheUltimator5.
Original author and original portions:
TheUltimator5
Substantial redesign, new logic, and additional code:
Aaron Diaz
The derivative adds independent multi-timeframe searching, date-restricted candidate selection, normalized log-return matching, composite scoring, adaptive percentage/Fibonacci projections, time and amplitude scaling, manual fit controls, and expanded diagnostics.
This publication is open-source and retains attribution to the original author under TradingView's open-source reuse rules and the Mozilla Public License 2.0.
DISCLAIMER
This indicator is provided for educational and analytical purposes only. It is not financial advice. Historical similarity does not guarantee future similarity. Users remain responsible for their own analysis, risk management, and trading decisions.
DESCRIPCION EN ESPANOL
RESUMEN
AutoFractal MTF Adaptive Projection busca estructuras historicas del precio que se parezcan a una estructura actual definida por el usuario. La temporalidad historica funciona de manera independiente a la temporalidad visible del grafico, por lo que es posible observar un grafico diario mientras se buscan analogias en 4 horas, 2 horas, diario u otras temporalidades compatibles.
El indicador funciona como una herramienta de comparacion estructural y proyeccion de escenarios. No genera senales de compra o venta y la ruta proyectada no debe interpretarse como una prediccion garantizada.
COMO FUNCIONA
1. Rango historico
El usuario selecciona una fecha inicial, una fecha final y la temporalidad historica. El script evalua candidatos solamente dentro de ese periodo.
2. Estructura actual
La estructura que se quiere comparar puede definirse mediante las ultimas N velas del grafico o mediante un rango manual de fechas.
3. Comparacion normalizada
Las estructuras se comparan mediante rendimientos logaritmicos normalizados y no mediante precios absolutos. Esto permite comparar patrones ocurridos en niveles de precio y condiciones de mercado diferentes.
4. Puntuacion compuesta
Cada candidato recibe una puntuacion basada en:
- Forma y correlacion.
- Retrocesos y comportamiento Fibonacci.
- Amplitud relativa.
- Direccion.
Tambien se pueden permitir fractales inversos.
5. Proyeccion adaptativa
El indicador utiliza la continuacion posterior del fractal historico como un escenario analogo. Existen tres metodos:
- Percentage: adapta porcentualmente el movimiento historico.
- Fibonacci: adapta la continuacion de acuerdo con la relacion entre los rangos historico y actual.
- Smart hybrid: combina ambos metodos.
La amplitud y la duracion temporal pueden adaptarse automaticamente a la estructura actual.
6. Ajuste manual
El patron historico ajustado y la proyeccion futura pueden modificarse por separado en altura, ancho y posicion, sin cambiar el fractal historico seleccionado.
INTERPRETACION Y LIMITACIONES
La puntuacion total mide similitud matematica bajo los parametros elegidos; no representa la probabilidad de que la proyeccion se cumpla. Los resultados pueden cambiar al modificar las fechas, la temporalidad, la longitud, los pesos o al incluir una vela sin cerrar. La herramienta no proporciona entradas, salidas, stop loss ni tamano de posicion.
CREDITOS
Este script es una obra derivada basada parcialmente en el script abierto "Auto Fractal ", publicado originalmente por TheUltimator5.
Autor original y partes originales:
TheUltimator5
Rediseno sustancial, nueva logica y codigo adicional:
Aaron Diaz
La publicacion se realiza como codigo abierto, conserva la atribucion correspondiente y mantiene la licencia Mozilla Public License 2.0.
AVISO
Este indicador tiene fines educativos y de analisis. No constituye asesoria financiera. La similitud historica no garantiza que el mercado repita el mismo comportamiento.
Indicador
RSI Levels & Regime Map Heatmap & Cardwell Reversal SignalsOVERVIEW
RSI is the most-used oscillator in the world, and almost nobody trades it — because "RSI is 62" is not something you can place an order against.
This tool moves RSI onto price.
RSI IS INVERTIBLE. Wilder's smoothing can be solved backwards, so for any RSI value there is an EXACT price that would produce it on the next bar. Instead of "RSI is 62", the chart tells you:
Close above 24,278 -> RSI 70 (resistance)
Close below 24,193 -> RSI 30 (support)
Those are real levels. You can put a stop there. You can put a target there.
The script draws the full ladder (30 / 40 / 50 / 60 / 70, all configurable), shades the bands between them into a regime heatmap, measures the Cardwell range regime, marks Cardwell positive and negative reversals with projected targets, shows a multi-timeframe strip — and then does the thing nobody else does: IT FORWARD-TESTS WHETHER ANY OF IT ACTUALLY HOLDS.
This is a research and framing tool. It is NOT a strategy, NOT a signal service, and NOT a validated edge.
THE MATHS (exact, not an approximation)
RSI = 100 - 100/(1 + AG/AL), where AG and AL are the Wilder-smoothed average gain and loss.
For a target T, let RSt = T/(100 - T). Solving the next bar's RSI for the move x required:
an UP move needs x = (n-1) * (RSt*AL - AG)
a DOWN move needs x = (n-1) * (AL - AG/RSt)
Level = close + x. The up form applies when it is non-negative; otherwise the down form does.
This is algebra, not curve fitting. Feed the derived price back through RSI and you get the target value back exactly. The levels are not estimates — they are the precise prices at which the RSI state changes, recomputed every bar. The ladder breathes with volatility on its own: it tightens in quiet markets and widens in violent ones, with no smoothing parameter to tune.
WHY THESE PARTS ARE ONE TOOL (mashup rationale)
1. THE INVERSE-RSI LADDER — the core. Every rung is the exact price at which RSI would print a chosen value.
2. THE HEATMAP — the bands between the rungs, shaded by regime. It shows at a glance how far price must travel to change the RSI story, which is the one question the oscillator pane can never answer.
3. THE CARDWELL REGIME — Andrew Cardwell's observation: in a BULL market RSI holds roughly 40-80, and 40 becomes SUPPORT. In a BEAR market it holds 20-60, and 60 becomes RESISTANCE. So "RSI 40" means the OPPOSITE thing in the two regimes. A tool that ignores this will cheerfully tell you to buy oversold all the way down a trend. The regime here is MEASURED over a lookback, not assumed — and the rung the script watches follows the regime rather than a fixed number.
4. CARDWELL REVERSALS — the signal almost nobody implements. A POSITIVE REVERSAL is RSI making a LOWER low while PRICE makes a HIGHER low. That is the mirror image of classic divergence, and it is a CONTINUATION signal, not a trend reversal. A NEGATIVE REVERSAL is the bearish mirror. A measured target is projected from each.
5. THE HONESTY LAYER — everyone says RSI 30 is support. Nobody checks. Every level test and every Cardwell reversal is logged and graded with a triple barrier against an unconditional control.
Remove any one and you are left with a prettier RSI that still cannot tell you whether RSI works.
THE CALIBRATION — AND THE TWO TRAPS IT TOOK A LIVE TEST TO FIND
Two subtle biases can make a level tool look brilliant while it is doing nothing at all. Both are handled explicitly here, and both are worth understanding whichever tool you use.
TRAP 1 — THE FILL ADVANTAGE.
A support test fires when price dips INTO the rung and closes back ABOVE it. If you enter the event AT THE RUNG (below the close) but compare it with a control entered at the CLOSE, the event gets a strictly better fill on EVERY trade. It then "beats" the control by construction — not because the level held, but because it bought lower. That is a rigged comparison, and it produces a large fake edge.
THE FIX: the level test is treated as a SIGNAL, NOT A FILL. The event and the control enter at the SAME reference price — the bar's close. The only thing that differs is which bars were selected.
TRAP 2 — DIRECTIONAL DRIFT.
Indices drift upward. If level tests are mostly LONG while the control is 50/50, the events win on drift alone and prove nothing.
THE FIX: longs are compared only with control longs, shorts only with control shorts, then blended back using the events' OWN direction mix. The panel also reports the baseline drift directly, so you can see whether the instrument is simply going up.
The control is UNCONDITIONAL: the same trade geometry taken on arbitrary bars, selected by no signal at all. If the levels cannot beat that, they carry no edge.
Results are reported as EXPECTANCY IN R, not hit rate. A Welch t-test decides whether the difference is real or luck — the panel does not say PROVEN unless t > 1.96.
Other conventions, all chosen so the tool cannot flatter itself:
· Both barriers touched on one bar -> the STOP is assumed first.
· Expired trades are marked to market, not booked as losses.
· The level tested is the one computed at the END OF THE PREVIOUS BAR — the price a trader could actually have rested an order at. Using the current bar's own level would be a look-ahead.
· Everything is logged and resolved on confirmed bars only.
HOW TO USE IT
1. READ THE REGIME FIRST. In a bull regime the 40 rung is support and you are hunting long tests of it. In a bear regime the 60 rung is resistance. In neutral, the ladder is simply a map.
2. The rungs are LEVELS. Price closing through one changes the RSI state, by definition.
3. A CARDWELL REVERSAL is a continuation signal with a projected target.
4. READ THE CALIBRATION BEFORE YOU WEIGHT ANY OF IT — and read the baseline-drift row next to it. If level tests show no proven edge on your instrument, the ladder is a MAP, not a probability.
5. Entry, stop and target are drawn at the same price the calibration measures. They are arithmetic, not advice.
DATA / SCOPE
Any symbol, any timeframe. No volume required. The source is an input, so the ladder can be built from close, hlc3, or even another indicator's plot.
NON-REPAINTING
The ladder is computed from confirmed values and projects FORWARD — it is a statement about what the NEXT bar would need to do, so it necessarily moves as new bars arrive. That is a projection, not a repaint, and it is stated plainly rather than hidden.
Level tests are evaluated against the PREVIOUS bar's level, so no future information is used. Reversal pivots use ta.pivot* and confirm a few bars after the fact; once printed, they do not move. The calibration harness logs AND resolves on confirmed bars only, so its statistics cannot inflate intrabar.
HONEST LIMITATIONS — PLEASE READ
The ALGEBRA is exact. THE CLAIMS ABOUT RSI ARE NOT.
"RSI 30 is support" is folklore until it is measured, which is exactly why this script measures it — and why it is built to be able to return "not proven".
Calibration figures are IN-SAMPLE, with no costs or slippage, and use overlapping windows. A proven in-sample edge is NOT a guarantee out-of-sample. Real fills, spreads and commissions will all reduce it.
Cardwell's rules are discretionary in origin and are mechanised here in one particular way. A different mechanisation would give different numbers.
Small samples are unreliable even when they look good. If the edge is near zero, negative, or unstable across timeframes, the honest conclusion is that it is not there.
Nothing here predicts price.
CONCEPT CREDITS
Relative Strength Index and its Wilder smoothing — J. Welles Wilder Jr.
Range rules, positive and negative reversals, and the measured-move projection — Andrew Cardwell.
Triple-barrier forward labelling — Marcos López de Prado.
Welch's t-test — B. L. Welch.
The inverse-RSI level engine, the regime map, the unconditional direction-matched control and the significance testing are the author's own. Clean-room implementation; no third-party code is reused. Not affiliated with, nor endorsed by, any of the above.
DISCLAIMER
Research and educational tool only. NOT financial advice, NOT a recommendation, and NO guarantee of results. Indicators describe past behaviour; they do not predict the future. Entry, stop and target output is arithmetic, not advice. Trading carries a risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script. Indicador
DTC Initial Balance ProWHAT THIS DOES
Every trading session has an "Initial Balance" — the first chunk of time
after the open (default: the first hour, 09:30-10:30 New York) where the
market sets its early high and low. Traders have long believed that
WHICH ONE FORMS FIRST — the high or the low — hints at which way the
rest of the day tends to go.
The problem: on a normal chart, you can't actually tell which came
first just by looking at a candle. A single 15-minute or 1-hour candle
can have both a new high AND a new low in it, and the candle's color
tells you nothing about the order they happened in.
This indicator solves that by secretly rebuilding the entire session
minute-by-minute in the background (even if your chart is on 15m, 1H,
or Daily), so it can tell you EXACTLY which one happened first — based
on real timestamps, never a guess.
HOW TO READ IT
- A colored box appears over the session: green means the low formed
first, red means the high formed first. Gray means it's still
forming.
- A small label shows the result once the session ends.
- A table (top-right by default) shows the full breakdown: exact
prices, exact times, and a "Bias" (Long/Short) reading.
THE PART THAT MAKES THIS DIFFERENT
Most tools stop at "which formed first." This one keeps going and
actually checks your chart's history to answer the follow-up question:
"okay, but does that actually mean anything?" It tracks, for every
past session, what price did AFTERWARD — did it break above the
session high, or below the session low — and shows you the real
percentages. So instead of trusting a rule of thumb, you can see
whether it's actually held up on the exact symbol and timeframe you
trade.
It also projects price targets above and below the session (simple
multiples of the session's range) and shows how often price has
historically reached each one.
FEATURES
- Works on any chart timeframe - internally always reconstructed from
1-minute (or 5-minute, for older history) data
- Fully customizable session times, not locked to the NY open
- Adjustable colors, box/line styles, and label sizes
- A statistics table with three sections: current session detail,
all-time stats, and post-session breakout odds
- Price target lines (+0.5x to +3.0x the session range) with their own
historical hit-rate table
- Alerts for session completion and for each outcome
- No repainting - once a session ends, its result is permanently frozen
A NOTE ON HONESTY
This indicator will tell you "Simultaneous" instead of guessing when
the high and low happen too close together to tell apart (this is a
hard limit of how granular historical data can get, not a shortcut).
Older history beyond what 1-minute data allows automatically falls back
to 5-minute reconstruction, clearly labeled in the table so you always
know the precision you're looking at.
This is an analytical tool for understanding market structure, not financial advice.
Historical statistics describe the past
they are not a guarantee of future behavior.
Indicador
Robust Bollinger Bands"First and foremost, full credit and massive respect to John Bollinger for inventing the original Bollinger Bands, an absolute cornerstone of technical analysis. This script does not aim to replace his legendary work, but rather to build upon his core philosophy by applying modern robust statistics to solve extreme outlier scenarios."
Description:
Overview
The "Institutional Robust Bollinger Bands" is a highly advanced, mathematically robust volatility indicator designed to solve the most common flaws of the classic Bollinger Bands. Standard Bollinger Bands rely on a Simple Moving Average (SMA) and Standard Deviation. Because standard deviation squares the distance from the mean, extreme market events (flash crashes, large gaps, or massive outlier wicks) artificially inflate the bands. This creates a "ghosting effect" where the bands remain irrationally wide long after the volatile event has passed, leading to false signals (fakeouts).
This script completely rebuilds the volatility model using Robust Statistics, Huber Weights, Kaufman-inspired Efficiency Ratios, and Asymmetric Expansion.
How It Solves the Classic Bollinger Bands Problem
Median (Q50) vs. SMA: Instead of using an SMA for the Basis line, this indicator uses the Median (Q50). The Median is statistically immune to single-bar manipulation. Even if a massive outlier wick occurs, the Basis line remains stable, completely ignoring the "fake" movement.
Huber Weighted Dispersion vs. Standard Deviation: Instead of squaring outliers, this script uses Median Absolute Deviation (MAD) and Huber Weights. Price action that falls outside a statistical threshold (1.345 * MAD) receives heavily penalized weights. This means the bands measure true continuous volatility rather than being skewed by one-off anomalies.
Asymmetric Bands: Financial markets do not follow a perfect normal distribution (Bell Curve); they exhibit skewness and fat tails. This script calculates the Skewness (Q75 + Q25 - 2 * Q50) and Kurtosis (Q95 - Q05). If the trend is aggressively skewed to the upside, the upper band expands further while the lower band tightens, adapting to the directional momentum asynchronously.
The Role of Classic Indicators & Custom Volatility Engines
While the core logic replaces classic averages with quantiles, we still utilize the classic Simple Moving Average (SMA) for a very specific, underlying purpose: Smoothing dynamic mathematical engines.
Efficiency Ratio (ER): We calculate a raw directional efficiency (netDisp / hlRange) inspired by Perry Kaufman's methodology. We then apply an SMA to smooth this raw data. This smoothed ER dynamically adjusts the Lambda (Skewness) multiplier. When the market is trending cleanly, the asymmetry expands automatically.
Gap & Body Volatility: We measure real tick-by-tick shock (disp = body + gap). We use an SMA to compare the short-term volatility of this calculation against its long-term average. This dynamically adjusts the Mu (Fat Tail) multiplier, fortifying the bands automatically when market gaps increase.
Key Features for Traders
Self-Adaptive Multipliers: You don't need to manually change settings for different assets. The internal Efficiency Ratio and Volatility engines automatically scale the Skewness and Kurtosis multipliers based on the asset's current state.
Percentile-Based Squeeze Detection (Yellow Background): Instead of looking for an absolute lowest value (which often breaks in prolonged ranging markets), the script uses a Percentile Rank logic. If the current bandwidth falls within the narrowest 15% (adjustable) of the last 100 bars, the background turns Gold/Yellow. This provides a highly stable visual cue that a major volatility breakout is building up.
QUICK COMPARISON: CLASSIC BB vs. ROBUST BB
1. BASIS LINE (MIDDLE BAND)
Classic: SMA (Simple Moving Average) - Sensitive to spikes.
Robust: Median (Q50) - Completely immune to single-candle manipulation.
2. VOLATILITY MEASUREMENT
Classic: Standard Deviation (Squared errors) - Outliers cause "Ghosting Effect".
Robust: Huber Weighted Dispersion - Punishes outliers, keeping bands stable.
3. BAND STRUCTURE
Classic: Perfectly Symmetric - Ignores market trend bias.
Robust: Asymmetric Expansion - Adapts to price skewness (Bullish/Bearish bias).
4. DYNAMIC MULTIPLIERS
Classic: Static (User-defined) - Requires manual tuning.
Robust: Self-Adaptive - Automatically scales Kurtosis and Skewness via Efficiency Ratios.
5. SQUEEZE DETECTION
Classic: Manual observation.
Robust: Percentile-Rank Based - Background turns yellow when bandwidth is in the narrowest 15% of recent history.
Usage
Use this indicator exactly as you would use classic Bollinger Bands, but with the confidence that outlier wicks will not distort your analysis. Look for continuous Squeeze (yellow) zones to prepare for breakouts, and observe the asymmetric expansion of the bands to understand the true strength and bias of a trend.
Disclaimer: This script is for educational and analytical purposes only. It does not constitute financial advice.
Indicador
Smart Money Concepts Liquidity Sweep, Order Block & FVGOVERVIEW
Every Smart Money indicator draws order blocks and tells you they work. This one scores them 0–100 and then forward-tests whether the score is actually true — on your instrument, on your timeframe.
It maps liquidity, detects stop-hunts, builds entry zones from the displacement that follows, confirms them with real order flow, and grades every zone that price returns to. Instead of "here is an order block, trust me", the panel tells you something like:
Tier-A zones returned +0.23R vs +0.08R for a matched control, n=61, t=2.1 — PROVEN
...or, just as usefully, NOT PROVEN. It is built to be able to tell you it doesn't work.
This is a research and framing tool. It is NOT a strategy, NOT a signal service, and NOT a validated edge.
WHY THESE PARTS ARE ONE TOOL (mashup rationale)
The Smart Money / ICT model is a SEQUENCE. Each step is meaningless on its own, and that is why they are combined here rather than sold as separate scripts:
1. LIQUIDITY POOLS — Stops cluster above equal highs (buy-side) and below equal lows (sell-side). Swing points within an ATR tolerance are clustered into a single pool; the more swings, the more stops resting there. A pool is not a signal. It is a magnet and a target.
2. THE SWEEP — Price wicks THROUGH the pool and closes back INSIDE it. That is a stop-hunt, and it is the only part of the sequence that reveals intent. A sweep alone is still not a trade.
3. DISPLACEMENT — An impulsive, ATR-normalised move away from the swept level. This is what separates a SWEEP (reversal) from a RUN (continuation).
4. THE ZONE — Displacement leaves footprints: a FAIR VALUE GAP (a three-bar imbalance) and an ORDER BLOCK (the last opposing candle before the impulse). Where an FVG sits INSIDE an order block, two independent structures agree — flagged as a confluence zone.
5. LOCATION — The zone is then judged on WHERE it sits. Against the VOLUME PROFILE (value area, point of control, and untested "naked" POCs), and against the DEALING-RANGE EQUILIBRIUM. A bullish zone in DISCOUNT is a zone you are being paid to buy; the same zone in premium is not.
6. ORDER FLOW — The question structure cannot answer: did anyone actually show up? Intrabar delta signs each lower-timeframe bar's volume by its own direction. A bullish zone born on NEGATIVE delta is a vacuum, not a footprint — and scores nothing for it.
7. THE ENTRY — Price is never chased. The engine arms only when price RETRACES into a fresh zone, then frames entry / stop / target — the target being THE NEXT OPPOSING POOL OF STOPS, because that is where the next batch of liquidity is resting.
8. THE CALIBRATION — Without it, everything above is folklore.
Remove any one of these and the tool marks noise, chases price, targets nothing, ignores where value actually is, or reports a confidence it has not earned.
THE SCORE (0–100, eight measurable components, no discretion)
Displacement strength ...... impulse body ÷ ATR — the energy behind the zone
Participation (RVOL) ....... volume at formation vs its own recent average
Born from a sweep .......... did a stop-hunt precede it? (the core ICT claim)
Imbalance size ............. FVG height ÷ ATR
HTF alignment .............. does the higher timeframe agree?
Premium / discount ......... bullish zone in DISCOUNT? bearish zone in PREMIUM?
Volume-profile location .... at value, at the POC, or at an untested POC?
Order flow (delta) ......... was the displacement backed by real aggressive flow?
Tiers: A (70+) · B (40–69) · C (below 40). Every weight is an input — if you think the sweep matters more than I do, turn it up, and let the calibration tell you whether you were right.
THE CALIBRATION — AND WHY IT IS HONEST
Every zone trade is paired with a MATCHED CONTROL: the same bar, the same direction, and the SAME R:R — but entered at market with an ATR stop instead of at the zone. This isolates exactly one variable: does entering AT THE ZONE beat entering anywhere else on identical geometry? Under a random walk, this control has zero expectancy, so anything the zones earn is real.
Each tier is tested against its OWN control, because an A-zone may carry a very different R:R from a C-zone, and a trade's hit rate depends on its R:R.
Results are reported as EXPECTANCY IN R, not hit rate. When R:R varies from trade to trade, a hit rate on its own is meaningless: a 6R winner at 20% is +0.4R (excellent), while a 1R winner at 55% is +0.1R (barely worth the commission).
A Welch t-test decides whether the difference is real or luck. The panel does not say "proven" unless t > 1.96.
The panel also answers the one question that matters most: DOES TIER A BEAT TIER C? If the scoring model has any value, A-grade zones must outperform C-grade zones. If they don't, the score is noise — and it will say so.
Conventions are deliberately chosen so the tool cannot flatter itself:
· Both barriers touched on the same bar → the STOP is assumed first.
· Expired trades are marked to market, not counted as wins or losses.
· Everything is logged and resolved on confirmed bars only.
HOW TO USE IT
1. Read the bias, the liquidity map, and the premium/discount shading. Pools above are buy-side, pools below are sell-side, and price usually travels from one to the other.
2. Wait for a SWEEP, then for a zone to be created by the displacement that follows.
3. Do NOT chase. The engine arms an entry only when price RETRACES into a fresh zone.
4. Watch for ABSORPTION at the zone — heavy volume, a small range, price holding. Someone is soaking up the aggression. That is a defended zone, and it is the best live confirmation available.
5. READ THE CALIBRATION BEFORE YOU WEIGHT ANY OF IT. If Tier A is not proven on your instrument and timeframe, a zone is a LOCATION, not a PROBABILITY — treat it as context only.
6. Entry / stop / target and the resulting R:R are drawn on the chart. They are arithmetic, not advice.
Do not tune the weights until the numbers turn green. That is curve-fitting, and the calibration exists to catch it — not to be defeated by it.
ORIGINALITY
The underlying SMC concepts are public and credited below. What is assembled here is the specific synthesis: an eight-component measurable score, the fusion of SMC structure with auction-theory location (volume profile and premium/discount), true intrabar order-flow confirmation, a per-tier matched control, expectancy-in-R reporting, and a significance test that can — and frequently does — return "not proven".
Clean-room implementation. No third-party Pine code is reused.
UNIVERSAL / DATA REQUIREMENTS
Works on any symbol and any timeframe — the engine is ATR-normalised throughout, so it adapts to the instrument rather than assuming point values.
Volume improves the score but is NOT required. On a symbol without real volume, the RVOL, volume-profile and order-flow components neutralise and the panel says so, rather than blanking or pretending.
Intrabar delta requires a timeframe strictly below the chart's. The script AUTO-MAPS this (1m→5s, 3m→15s, 5m→30s, 15m→1m, and so on) because if the intrabar timeframe equals the chart timeframe there is only ONE intrabar — the bar itself — and delta degenerates to ±100% on every bar. Where true intrabar data is unavailable, the script falls back to a close-location proxy AND LABELS IT AS A PROXY in the panel.
NON-REPAINTING
Pools, sweeps, displacement, zones, the volume profile, absorption and entries are ALL computed on confirmed bars only.
Swing points use ta.pivot* and are therefore known only AFTER their confirmation bars. This is why a liquidity pool appears a few bars after its swing. That delay is the honest cost of not repainting, and it is paid deliberately — a level that moves after the fact is worse than no level at all.
The higher-timeframe read uses lookahead_off with a live-bar offset. The calibration harness logs AND resolves on confirmed bars, so its statistics cannot inflate intrabar. Nothing here is drawn and then moved.
HONEST LIMITATIONS — PLEASE READ
Smart Money Concepts is a popular framework, not a proven one. That is precisely why this script measures it instead of asserting it.
The calibration figures are IN-SAMPLE, close-to-close, with NO costs or slippage, and they use overlapping windows. A proven in-sample edge is NOT a guarantee of out-of-sample results.
The rolling volume profile is an APPROXIMATION — each bar's volume is spread uniformly across the bins its range covers. It is not tick data.
Small samples are unreliable. A tier with a low "n" is provisional even if it looks good.
If the edge is near zero, negative, or unstable across timeframes, the honest conclusion is that this model carries no edge on that instrument. The tool is designed to be able to tell you that, and you should believe it when it does.
Nothing here predicts price.
CONCEPT CREDITS
Smart Money / ICT concepts — liquidity pools, stop-hunts, displacement, fair value gaps, order blocks, premium/discount and optimal trade entry — are public trading concepts popularised by Michael J. Huddleston (Inner Circle Trader) and the wider SMC community.
Market Profile, the point of control and the value area — J. Peter Steidlmayer and the CBOT.
Market structure theory — Charles Dow.
Average True Range — J. Welles Wilder.
Wilson score interval — Edwin B. Wilson.
Triple-barrier forward labelling — Marcos López de Prado.
Welch's t-test — B. L. Welch.
The zone-scoring model, the order-flow fusion, the per-tier matched control and the tier calibration are the author's own. Not affiliated with, nor endorsed by, any of the above.
DISCLAIMER
This is a research and educational tool only. It is NOT financial advice, NOT a recommendation, and offers NO guarantee of profitability or accuracy. Indicators describe past behaviour; they do not predict the future. Entry, stop and target output is arithmetic, not advice. Trading carries a risk of loss. Test out-of-sample and make your own decisions. The author accepts no liability for any use of this script. Indicador
Trident Screener - Stocks, Themes, Sectors [Galin]Trident Screener
What it does
One screener, three universes. Run it in the Pine Screener on individual stocks, on thematic and industry ETFs, and on the sector SPDRs — same columns, same saved filters, three watchlists. It combines a Minervini-style trend template, an IBD-style weighted relative strength score, a three-condition leadership flag with same-day rotation detection, and setup-ripeness columns: contraction, volume dry-up, extension. Every plot becomes a filterable, sortable column — the answer arrives as a ranked table, not a chart to eyeball.
The columns
Trend
MM — 0 to 8, one point per rule when true: 1) close above the 150 and 200 SMA · 2) 150 SMA above 200 SMA · 3) 200 SMA rising vs 22 bars ago · 4) 50 SMA above the 150 and 200 · 5) close above the 50 SMA · 6) at least 25% above the 260-bar low · 7) within 25% of the 260-bar high · 8) weighted price-momentum composite above 70. Rule 8 uses a price composite, not an IBD-style rating — that job belongs to RS Score below.
Relative strength
RS Score — IBD-style weighted relative strength vs the benchmark, in percentage points: 40% × 3M + 20% × 6M + 20% × 9M + 20% × 12M. Zero means the symbol moves with the benchmark; leaders typically read +20 to +80. It is a margin, not a 0–99 percentile — sorting the column gives you the ranking over your own watchlist, which is the honest version of a ranking anyway.
RS 1W % / RS 1M % / RS 3M % — relative performance vs the benchmark per window, computed as the change of the symbol/benchmark ratio.
Leadership & rotation
A+ — 1/0. Above the 200-day SMA AND beats the benchmark over 1 month AND over 3 months. Each condition catches what the other two miss: a "strong month" inside a downtrend is a bounce, not a leader.
A+ streak — consecutive days with the A+ flag. 1 = promoted today: your rotation alert. Sort descending to rank the most established leaders. Tip: check RS 1W on fresh promotions — a green week means an organic promotion; a deep red week means the calendar just rolled a crash out of the 1-month window.
Improving — above the 200 SMA and beating the benchmark on 1M but not yet on 3M: the waiting room for tomorrow's leaders.
Early accumulation
RS NH — the RS line (symbol ÷ benchmark) is at a 252-bar high.
RS NH lead — RS NH while price is still more than 2% below its own 260-bar high. Relative strength breaking out before price is a classic accumulation tell: someone is buying the base hard enough to outrun the index without a breakout.
Setup ripeness
xFrom50 — extension from the 50 SMA measured in daily ATRs: the "too extended to chase" gauge.
% vs 20SMA — the pullback radar: an extended leader near its 20 SMA is offering an entry instead of demanding a chase.
% from 20D High / % from 60D High — proximity to the recent high and to the base high.
Tight5 (xATR) — the 5-day range measured in ATRs. Small = contraction.
Vol 5D/50D — volume dry-up ratio; below ~0.8 = quiet base.
Suggested setups (set once — filters stick to the indicator)
Stocks: MM = 8 · xFrom50 0 to 4 · % from 60D High −8 to 0 · Tight5 < 3 · Vol 5D/50D < 0.8 → sort RS Score descending. Result: tight, dry leaders sitting just under their highs. Loosen the last three by ~30% for an "almost ready" second pass.
Themes / sectors: A+ = 1 → sort RS Score descending. The row count is a daily breadth curve — log it. A+ streak = 1 → fresh promotions. Improving = 1 → the waiting room.
Weekly: RS NH lead = 1 → the names where the money arrived before the breakout.
Settings
Benchmark — default SPY. Compare sectors vs SPY, growth themes vs QQQ, breadth vs RSP, or a stock vs its own sector ETF.
Notes
Run the screener on the 1D timeframe — required, because A+ streak and RS NH count chart bars, so one bar must equal one day. Plots are hidden on the chart by design; this is a screener tool. All windows are trading days (5/21/63/126/189/252). Symbols younger than ~12 months show empty RS Score cells until the history exists. MM criteria adapted from the Minervini Trend Template by yogy.frestarahmawan (MPL 2.0). Volume confirms what the screener nominates — for entry confirmation, pair it with my Relative Volume At Time indicator. Indicador
ICT Liquidity Sweep & Structure [JOAT]ICT Liquidity Sweep and Structure
A smart-money workflow that maps resting liquidity, detects stop-hunt sweeps, and reads market structure shifts on one clean overlay.
What it is
This tool organises several well-known smart-money / ICT concepts into one coherent, non-repainting engine and — importantly — explains how the pieces reinforce each other rather than just stacking them. The premise: price is drawn to pools of resting orders (old highs and lows), often sweeps them to trigger stops, and then reveals its true intent through a structure break. The indicator makes each of those steps visible and gates its signals on their confluence.
How it works
• Liquidity levels — confirmed swing highs and lows (pivots) are drawn as buy-side liquidity (above old highs) and sell-side liquidity (below old lows) lines, each labelled with its price. These mark where stops are likely resting.
• Liquidity sweeps — a sweep is detected when price trades through one of these levels and then closes back on the original side, i.e. the level was raided but not accepted. This is the classic stop-hunt footprint and is the setup trigger.
• Market structure (BOS / CHoCH) — the engine tracks the live sequence of swings. A Break of Structure confirms trend continuation; a Change of Character is the first counter-break that flips the internal bias. Both are labelled on confirmed closes.
• Fair value gaps — three-bar imbalances left by displacement are drawn as zones and used as entry confluence, since price often rebalances them.
• Confluence gate — a Buy requires a bullish sequence (a sweep of sell-side liquidity followed by a bullish structure shift, optionally aligned with a fair-value gap); a Sell is the mirror. Buy and Sell are made mutually exclusive so both never print on the same bar, and a minimum-spacing control prevents clustering.
Trade levels
Each signal renders a red risk box from entry to stop and a green reward box from entry to the third target, with inner target dividers and right-edge labels for entry, stop and each take-profit at your R multiples. The stop is anchored to the structure that produced the signal, not to a fixed distance.
The dashboard
An adjustable panel summarises the current structural bias, the most recent liquidity event, the nearest untapped level, a conviction estimate, the active signal, and a live first-target-before-stop tally computed only on closed bars.
How to use it
• Suitable for any asset and timeframe; the concepts are scale-independent, though very low timeframes produce more noise.
• Use the liquidity lines to anticipate where price may be drawn next, and wait for a sweep-plus-structure confluence rather than acting on a raw level touch.
• Combine with a higher-timeframe bias for directional filtering.
Settings
Pivot strength, liquidity extension, sweep sensitivity, fair-value-gap minimum size, structure options, risk multiple and target R multiples, plus full colour and dashboard controls.
Originality and usefulness
Rather than plotting isolated ICT drawings, this engine chains them into a single logical sequence — liquidity, sweep, structure shift, imbalance — and only signals when that sequence agrees. The description of why those components belong together, and the confirmed-bar evaluation that keeps them honest, is what distinguishes it from a generic structure plotter.
Notes and limitations
• Structure and sweeps are defined algorithmically; discretionary traders may mark them slightly differently.
• Signals confirm on bar close, which trades a small amount of immediacy for stability and no repainting.
• The on-chart tally reflects only past bars on the current chart and is not a prediction.
• Educational and analytical tool, not financial advice.
— made with passion by officialjackofalltrades
Indicador
Sphinx DOL & Gamma ConfluenceSphinx DOL & Gamma Confluence
A positioning map that clusters draw-on-liquidity (DOL) levels together with options gamma levels, then grades each zone by how much confluence sits there - so the levels that matter stand out from the noise.
DOL LEVELS (computed automatically from price)
Prior day, week, and month high/low (PDH/PDL, PWH/PWL, PMH/PML); prior Asia and London session high/low; and overnight high/low (18:00-09:30, frozen at the RTH open). Each is tracked as tested or still naked (untested), and untested levels are weighted higher as live magnets. All toggleable.
GAMMA LEVELS (optional, entered by the user)
Gamma levels are price levels derived from options positioning that tend to act as support/resistance because of how dealers hedge:
- Call wall (CW): a strike with heavy call interest, usually above price - dealer hedging tends to lean against rallies there, so it often acts as a ceiling (red border).
- Put wall (PW): a strike with heavy put interest, usually below price - hedging tends to support dips there, so it often acts as a floor (green border).
- Flip (zero-gamma): the regime divider. Above it (positive gamma), hedging dampens moves - price tends to pin and walls tend to hold (fade environment). Below it (negative gamma), hedging amplifies moves - price tends to trend and walls tend to break into targets (trend environment).
Enter these per expiry (0/7/30 DTE) either as individual fields or as a pasted string; the tool auto-detects the chart symbol (ES/NQ/RTY/GC and micros).
HOW ZONES RENDER
Nearby levels merge into one translucent band. Fill color = confluence strength: extreme (a gamma wall stacked on a DOL level), major, or minor. Border color = direction: red ceiling, green floor, yellow pin (both), gray for pure liquidity. Labels list the members and tag / / , with (naked) on untested levels. A table shows price, the 0/7/30 DTE flips with a positive/negative gamma read, the current regime, an extreme-zone count, and a snapshot-time stamp you set.
The value is combining two different mechanisms: DOL shows where liquidity rests (reactive), gamma shows where hedging flow will occur (anticipatory) - where they align is the highest-conviction zone.
IMPORTANT - DATA SOURCE
This tool does not source, provide, or connect to any options/gamma data. Gamma levels are entered manually by each user from whatever external source they choose, and their accuracy is entirely the user's responsibility. DOL levels work with no gamma input at all. Gamma tendencies are probabilistic, not guarantees - walls hold more often in positive gamma but can break.
This is a context/mapping tool, not a signal generator: no entries, no alerts, no automation. For educational purposes only; nothing here is financial advice. Verify all levels against your own sources. Indicador
Options Decision Dashboard CPR, Expected Move & Day TypeOverview
An index option buyer loses to theta unless the day actually moves. So the first question isn't "which way?" — it's "will this session trend at all, and is implied volatility cheap enough to pay for the ride?"
This dashboard answers that in one panel, before the session gets going:
DAY TYPE — from the Central Pivot Range. Narrow CPR historically precedes trending days; wide CPR precedes rangebound ones.
DIRECTION — from where price sits against the CPR, plus the two-day pivot-range relationship.
THE PRICE OF THE BET — from the volatility index: the expected move it's charging you for.
TIME — days to expiry, and the theta context.
It then states a plain-language verdict — BUY CE / BUY PE / SELL PREMIUM / STAY OUT — with the CPR and floor-pivot levels drawn on price, targets and invalidation marked.
What makes it different
Every CPR script asserts that a narrow CPR means a trending day. None of them check.
This one forward-tests its own core claim. Each session's CPR type is logged at the open, and at the close the day is scored as trending or not (by directional efficiency: how much of the day's range price actually closed away from its open). The panel then reports the trend-day hit rate for narrow-CPR sessions against the unconditional base rate, with a Wilson 95% lower bound.
If narrow CPR carries no edge on your instrument, the dashboard says so — and you should discount its day-type logic accordingly. It is built to be able to tell you it doesn't work.
Why the four layers are ONE tool
An option-buying decision needs all four at once:
Day type without volatility pricing tells you to buy an option that may be too expensive.
Volatility pricing without day type tells you it's cheap without telling you whether it will move.
Either without the levels gives you no entry, target or invalidation.
All three without the calibration is just another confident indicator.
Remove one and the decision isn't decidable.
How it works
CPR — Pivot = (H+L+C)/3 · BC = (H+L)/2 · TC = 2·Pivot − BC, from the prior session. Width is normalised as a % of the pivot and rank-scored against its own recent history, so "narrow" means narrow for this instrument — not a hard-coded point value. (10 points is narrow on NIFTY and wide on a mid-cap.)
Two-day relationship — higher / lower / overlapping / inside / outside value: the classic Pivot-Boss classifications, used as the directional prior.
Expected move — EM = Spot × (IV/100) × √t, shown for the day and to expiry, and drawn as a band. If the session stays inside that band, an option buyer typically loses to theta — which is exactly the trap this tool exists to flag.
Verdict — combines day type, direction, IV percentile and days-to-expiry into one call. Expensive IV can veto a buy; expiry-day theta can veto it too.
How to use it
Read it top-down at the open. Day type tells you whether to buy options at all. Direction tells you which side. Expected move tells you whether the premium is worth it. The verdict is the summary; the levels are your entry, target and invalidation.
Then — before you trust any of it — read the calibration row. If narrow CPR has no proven edge on this symbol, the day-type logic isn't carrying its weight here.
This is decision support. It does not place trades and it is not advice.
Data & scope
Built for NSE:NIFTY / BANKNIFTY index futures on intraday timeframes (5m or 15m is the CPR norm). Needs a volatility index for the expected-move layer (NSE:INDIAVIX by default); without one, that layer switches off cleanly and the rest still works.
Strike step, expiry weekday and volatility symbol are all inputs — so it runs on any index-options market. Set the expiry weekday to match your contract: the exchange has changed the index expiry day before, and this script does not assume, it asks.
On a daily+ chart the panel tells you to switch to intraday rather than showing a confident verdict built on a meaningless CPR.
Non-repainting
Prior-session values are requested as on the daily series, so they're settled before the session opens and never move. The calibration harness logs at the session open and resolves at the session close, on confirmed bars only — a session is graded on the first bar of the next session, from completed data. Intraday readings (price vs level, day-so-far range) update as the session forms; that's a live read, not a repaint.
Concept credits
Central Pivot Range and the two-day pivot-range relationships — Frank Ochoa (Secrets of a Pivot Boss). Floor pivots (R1–R3 / S1–S3) — long-standing public trading-floor practice. Expected move from implied volatility — standard option-pricing arithmetic (Black-Scholes-Merton lineage). Wilson score interval — Edwin B. Wilson. ATR — J. Welles Wilder.
The day-type calibration harness, the expected-move comparison and the verdict engine are the author's own. No third-party Pine code is reused.
Honest limits
The CPR day-type claim is folklore until measured — which is exactly why this script measures it. Calibration figures are in-sample, with no costs, and a proven in-sample edge is not a guarantee out-of-sample. The expected move is a one-standard-deviation estimate under a lognormal assumption; real index returns have fat tails and gaps. The verdict describes conditions — it is not a recommendation — and it says nothing about strike selection, position sizing or risk.
Options carry the risk of TOTAL loss of premium. Nothing here predicts price.
Disclaimer
Research and educational tool only. Not financial advice, not a recommendation, no guarantee of results. Options trading carries a risk of total loss. Test out-of-sample and make your own decisions. The author accepts no liability. Indicador
Momentum Tide @darshaksscMomentum Tide is an adaptive gradient-fill RSI oscillator. Instead of a smoothed RSI line
with fixed overbought/oversold zone colors, momentum is visualized as a single "tide" — a
continuous gradient fill between the smoothed RSI and the midline, where fill intensity
scales with distance from midline rather than using discrete zone bands.
🔶 HOW IT WORKS
RSI is smoothed with an EMA, then plotted against an adaptive overbought/oversold reference
calculated from the rolling standard deviation of RSI (not fixed 70/30 levels), so the tool
self-adjusts across instruments and timeframes. An ATR-based volatility filter suppresses
signals during low-momentum chop.
🔶 HOW TO USE
- Green tide + rising = building bullish momentum. Red tide + falling = building bearish momentum.
- Triangle markers = confirmed midline momentum shift (bar-close confirmed, non-repainting).
- Circle markers = reversal signal from the adaptive extreme zone.
- Dashboard (top-right) shows live RSI value, tide state, and momentum strength %.
🔶 SETTINGS
RSI Length, Smoothing Length, ATR Filter Length/Ratio, Adaptive Lookback, Adaptive Band Width.
🔶 LIMITATIONS
This is a momentum-visualization tool, not a standalone entry system. Best combined with
structure/S-R context. Can flip state more frequently in low-volatility, range-bound sessions.
For educational/informational purposes only. Not financial advice. Past performance does
not guarantee future results. Always use proper risk management. Indicador
Stochastic Triple FilterStochastic Triple Filter
Overview
The Stochastic Triple Filter is an enhanced version of the classic Stochastic Oscillator designed to address its most fundamental weakness: the generation of excessive false signals during ranging markets and counter-trend conditions.
This script integrates three independently validated technical analysis components into a single unified system, where each filter serves a specific and complementary role in signal validation. The result is a significant reduction in low-quality crossover signals, keeping only those that occur within a confirmed trending environment with real directional momentum.
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THE PROBLEM WITH THE CLASSIC STOCHASTIC
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The classic Stochastic Oscillator generates crossover signals regardless of broader market context. A crossover in oversold territory looks identical whether the broader trend is strongly bullish, strongly bearish, or completely flat and ranging.
This context-blindness is the primary reason most Stochastic-based approaches underperform in live market conditions. The indicator fires during:
- Trending markets
- Ranging markets
- High-volatility periods
- Low-momentum consolidations
...treating all of them identically.
The Triple Filter addresses this by adding two additional layers of validation that specifically target the two most common failure modes:
- Trading against the dominant trend
- Trading during low-momentum, choppy market conditions
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WHY THESE THREE COMPONENTS
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The combination of the Stochastic Oscillator, the Gaussian Channel, and the Choppiness Index was chosen deliberately. Each component addresses a different dimension of market behavior that the others cannot measure on their own:
- Stochastic Oscillator — measures momentum and overbought/oversold conditions
- Gaussian Channel — measures trend direction with minimal lag
- Choppiness Index — measures whether the market is trending or ranging
Together, they form a three-dimensional filter that validates signals from three independent angles simultaneously: momentum, direction, and market structure.
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COMPONENT 1: STOCHASTIC OSCILLATOR — THE SIGNAL GENERATOR
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The Stochastic Oscillator, originally developed by George Lane in the 1950s , measures the position of the closing price relative to its high-low range over a defined lookback period.
- %K line — the raw stochastic value
- %D line — a smoothed version of %K, used as a signal line
Signal rules:
- Long signal — %K crosses above %D in the oversold zone (below threshold, default 20)
- Short signal — %K crosses below %D in the overbought zone (above threshold, default 80)
Default settings used in this script:
- %K Length: 21
- %K Smoothing: 3
- %D Smoothing: 5
These settings produce a smoother, less reactive version of the Stochastic compared to the classic defaults of 14, 1, and 3 — reducing the number of low-quality crossovers generated before any additional filtering is applied. All parameters are fully configurable.
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COMPONENT 2: GAUSSIAN CHANNEL — THE TREND FILTER
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The Gaussian Channel, originally developed and published on TradingView by © DonovanWall , applies a recursive Gaussian filter to price data to produce an extremely smooth trend estimate.
Unlike a simple moving average, the Gaussian filter uses a weighted multi-pole recursive calculation that minimizes lag while preserving directional accuracy.
The f_filt9x() recursive filter function and the f_pole() pole aggregation function used in this script are directly derived from DonovanWall's original published work. All mathematical credit for the Gaussian filter implementation belongs to DonovanWall.
How it works in this script:
Only the midline of the Gaussian Channel is used as a trend direction signal:
- Midline rising (current value > previous value) → trend is bullish → longs allowed
- Midline falling (current value < previous value) → trend is bearish → shorts allowed
- If the Stochastic fires a crossover but the Gaussian Channel disagrees → signal is blocked
Optional modes:
- Reduced Lag Mode — applies a lag correction to the source before filtering, making trend detection more reactive
- Fast Response Mode — blends the filtered output with the first-pole result to increase responsiveness at the cost of some smoothness
Both modes are optional and disabled by default .
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COMPONENT 3: CHOPPINESS INDEX — THE MOMENTUM FILTER
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The Choppiness Index, based on the concept originally introduced by E.W. Dreiss in 1993 , measures the degree of market trendiness versus choppiness by comparing the sum of individual candle true ranges to the total true range over a lookback period.
The formula produces a normalized value:
- Lower values (~38.2) → strong directional trending behavior
- Higher values (~100) → choppy, non-directional price action
How it works in this script:
A user-configurable threshold (default 50 ) defines the boundary:
- Choppiness Index below threshold → market is trending → signals allowed
- Choppiness Index above threshold → market is choppy → all signals blocked , regardless of Stochastic crossover or Gaussian Channel direction
This prevents trading during low-momentum consolidation periods — historically the most damaging environment for crossover-based systems.
The Choppiness Index filter can be independently enabled or disabled by the user.
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HOW THE THREE COMPONENTS WORK TOGETHER
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Valid LONG signal requires all three:
- %K crosses above %D within the oversold zone
- Gaussian Channel midline is rising
- Choppiness Index is below the threshold
Valid SHORT signal requires all three:
- %K crosses below %D within the overbought zone
- Gaussian Channel midline is falling
- Choppiness Index is below the threshold
Crossovers that satisfy the Stochastic condition but fail one or both additional filters are displayed as small white cross markers on the panel — allowing traders to observe exactly which signals were blocked and why.
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VISUAL ELEMENTS AND PANEL LAYOUT
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Inside the indicator panel:
- %K line — changes color dynamically: green in oversold zone, red in overbought zone, grey in neutral zone. Color intensity is proportional to the distance from each threshold.
- %D line — follows the same color logic at reduced opacity.
- Overbought/Oversold lines — horizontal dashed lines at configurable thresholds.
- Midline — dotted line at level 50.
- Zone background — faint green when %K is oversold, faint red when overbought.
- Gaussian Channel dots — a row of colored circles below the Stochastic lines: green when rising, red when falling, grey when flat.
- Choppiness line — a horizontal line just below the GC dots: green when market is trending (below threshold), grey when choppy (above threshold).
- Signal triangles — green upward triangles for valid longs, red downward triangles for valid shorts.
- Filtered signal markers — small white crosses for signals blocked by the GC or Choppiness filters.
- Status table — bottom right corner, updated in real time, showing the current state of all three filters simultaneously.
On the price chart (optional):
- BUY/SELL labels — appear directly on the price chart at the moment of each valid signal using force_overlay.
- Bar color — candles colored according to Gaussian Channel direction and Choppiness state: bright green when trending up, bright red when trending down, grey when choppy.
- Background flash — optional faint background highlight on the price chart at signal bars.
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SETTINGS AND INPUTS
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⚙️ Stochastic:
- %K Length (default: 21)
- %K Smoothing (default: 3)
- %D Smoothing (default: 5)
- Overbought Level (default: 80)
- Oversold Level (default: 20)
📡 Gaussian Channel:
- Enable/Disable GC Filter
- Source (default: HLC3)
- Poles 1–9 (default: 4)
- Sampling Period (default: 144)
- Multiplier (default: 1.414)
- Reduced Lag Mode
- Fast Response Mode
📊 Choppiness Index:
- Enable/Disable Chop Filter
- Chop Length (default: 14)
- Chop Threshold (default: 50)
📍 Signals on Price Chart:
- Show BUY/SELL labels on chart
- Show Filter Status Table
- Color bars by signal state
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CREDITS AND ATTRIBUTIONS
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- Gaussian Channel — Original concept and full implementation by © DonovanWall , published on TradingView as "Gaussian Channel " . The f_filt9x() and f_pole() functions in this script are directly derived from DonovanWall's original work. All mathematical credit belongs to DonovanWall.
- Choppiness Index — Original concept by E.W. Dreiss (1993) . Standard public domain implementation.
- Stochastic Oscillator — Original concept by George Lane (1950s) . Standard public domain implementation.
The combination of these three components into a unified signal filtering system — including all visual design, panel layout, filter logic, position management, and status table — was developed independently by © AlgoTrade_Pro .
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DISCLAIMER
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This script is published for educational and informational purposes only. It is not financial advice and does not guarantee any specific trading results. Past performance in backtesting does not guarantee future results in live markets. Always conduct your own research and testing before making any trading decisions. Trading involves significant risk of loss. Indicador
Williams VIX Fix Elite [MarkitTick]💡 The Williams VIX Fix Elite is a comprehensive, overlay-based technical analysis system designed to bring the powerful volatility-tracking properties of the traditional Williams VIX Fix directly onto the main price chart. By synthesizing statistical volatility extremes with an array of multi-timeframe trend filters, volume confirmation parameters, and dynamic risk management plotting, this tool transcends basic observation. It provides traders with a complete, structured methodology for identifying high-probability exhaustion zones and potential market reversals while strictly managing risk.
✨ Originality and Utility
Standard volatility indicators are almost exclusively relegated to separate oscillator panes at the bottom of the chart. This traditional placement forces the user to constantly shift their visual focus, often leading to a disconnect between volatility metrics and actual price action. This indicator resolves that friction by mapping volatility exhaustion directly onto the candlesticks themselves through an intuitive color-coded heatmap.
Furthermore, the utility of this script lies in its holistic approach to signal generation. Rather than providing isolated volatility alerts, it acts as a confluence engine. It mandates that a volatility spike must be corroborated by higher timeframe trend alignment, adequate localized volume, directional momentum, and specific standard deviation thresholds before generating an actionable signal. This transforms a simple oscillator concept into a robust, chart-integrated trading framework complete with dynamically calculated risk-to-reward parameters, rendering it highly useful for both discretionary analysis and automated alert integrations.
🔬 Methodology and Concepts
● The Volatility Engine
• Williams VIX Fix (WVF)
At its core, the script calculates the Williams VIX Fix. It does this by measuring the percentage drawdown of the current bar's low from the highest closing price over a user-defined lookback period. This mathematical approach creates a synthetic volatility index that mirrors the behavioral characteristics of the CBOE VIX, where high values indicate market fear and potential bottoms.
• Statistical Bounds
To determine when the WVF has reached a statistically significant extreme, the script applies Bollinger Bands to the WVF data. It calculates a Simple Moving Average (SMA) of the WVF and plots standard deviation bands around it. A "Spike" is registered when the WVF value breaches the upper Bollinger Band or a percentile-based historical high threshold.
● Confluence Filtering
• Higher Timeframe (HTF) Alignment
The script extracts moving average data from a user-selected higher timeframe. It assesses whether the higher timeframe's closing price and dual-period EMAs exhibit a bullish or bearish hierarchy, ensuring signals are not taken against the macro-directional flow.
• Volatility and Volume Validation
A signal is only considered valid if the localized volatility, measured by the Average True Range (ATR), exceeds its historical average multiplied by a strict threshold. Additionally, the localized volume must exceed its moving average, confirming that the reversal is backed by market participation.
• Signal Execution and Risk Logic
When all conditions align (a volatility spike followed by a directional reversal candle, validated by all filters), the script locks in the signal upon the bar's close. It immediately calculates a Stop Loss utilizing an ATR multiplier and projects three Take Profit levels mathematically derived from user-defined Risk-to-Reward (R:R) ratios.
🎨 Visual Guide
● Chart Overlay Elements
• Candlestick Heatmap
The indicator repaints the standard chart candles to reflect the immediate signal bias. A confirmed Long signal colors the candlestick body, borders, and wicks in a distinct bullish hue (default teal). Conversely, a confirmed Short signal paints the candle in a bearish hue (default red). Neutral periods retain a standard gray tone.
• Dynamic Trade Levels
Upon signal confirmation, the script automatically plots horizontal lines detailing the trade parameters:
Stop Loss Line: A solid, thick line plotted below (for longs) or above (for shorts) the entry price, acting as the primary risk invalidation level.
Entry Line: A dashed line marking the exact closing price of the signal candle.
Take Profit Lines: Three sequential dashed lines representing TP1, TP2, and TP3, mapping out the reward targets.
The space between the Stop Loss and Entry is highlighted with a semi-transparent risk linefill, while the space extending toward the Take Profit targets is highlighted with a reward linefill, visually contrasting the risk against the potential payout.
● The Interactive Dashboard
A dedicated data panel is rendered on the chart (default top-right) providing real-time telemetry of the script's internal calculations.
WVF Value & Spike Level: Displays the raw volatility index number alongside a visual progress bar indicating how close the current value is to the historical threshold.
HTF & Trend Bias: Textually confirms the current macro and localized trend alignment (Bullish/Bearish).
Volume & ATR: Confirms whether current volume is above or below average and displays the exact ATR value.
R:R Ratio: A visual gauge of the current signal's risk-to-reward structure.
Cooldown Status: Displays the remaining bars before a new signal can be generated, preventing over-signaling during congested price action.
📖 How to Use
● Execution Protocol
• Step 1: Signal Identification
Wait for a colored signal candle to print on the chart. A teal candle signifies a Long opportunity, while a red candle signifies a Short opportunity. Always wait for the candle to fully close, as signals are only validated upon bar confirmation to ensure accuracy.
• Step 2: Dashboard Verification
Consult the on-chart dashboard. Ensure that the "Spike Level" gauge was heavily filled prior to the signal, and visually confirm that the "HTF Bias" and "Trend Bias" align with your intended trade direction. Verify that the "Volume" metric indicates "Above Avg" for optimal setup quality.
• Step 3: Risk Assessment
Observe the plotted trade levels. The visual linefills will immediately show you the required risk (the distance from the dashed Entry line to the solid Stop Loss line). Assess whether this required risk fits within your personal account parameters. If the ATR has expanded too aggressively, the stop loss may be too wide, and the setup should be skipped.
• Step 4: Trade Management
If the trade is entered, utilize the plotted TP1, TP2, and TP3 lines as scaling-out points. The script also includes automated JSON alert outputs designed for third-party execution platforms, allowing users to fully automate the Long, Short, and Take Profit hit actions.
⚙️ Inputs and Settings
● Core Settings
• WVF Lookback: Defines the historical period used to find the highest close for the volatility drawdown calculation.
• BB Length & BB Mult: Controls the Simple Moving Average length and the standard deviation multiplier applied to the WVF. Lowering the multiplier increases sensitivity to volatility spikes.
• Percentile HH Lookback & High % Threshold: An alternative absolute-threshold filter based on a percentage of the highest historical WVF values.
● Filters
• HTF Resolution: Select the specific higher timeframe used for the macro trend validation.
• ATR Length & Min Mult: Defines the lookback for the Average True Range and the multiplier required to validate adequate localized volatility.
• Min Spike Above BB %: A Z-score threshold ensuring the volatility spike is mathematically severe before triggering a signal.
• Volume Avg Length & Min Mult: Dictates the volume moving average parameters required for trade confirmation.
• Cooldown Bars: The mandatory resting period (in bars) between valid signals to eliminate redundant alerts.
● Trade Tools & Alerts
• SL ATR Mult: The multiplier applied to the current ATR to calculate the Stop Loss distance from the entry price.
• TP1, TP2, TP3 R-Multiple: Dictates the reward distance for target lines relative to the calculated Stop Loss risk.
• Alert Actions: String inputs allowing the user to customize the JSON payload commands sent to automated webhook services.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Behavioral Finance and Volatility Asymmetry
The underlying architecture of this indicator is deeply rooted in the academic principles of behavioral finance, specifically the asymmetry of market participant reactions. Financial markets typically exhibit a "stealth" characteristic during uptrends (low volatility, steady buying) and a "panic" characteristic during downtrends (high volatility, aggressive selling). The Williams VIX Fix capitalizes on this behavioral asymmetry by focusing exclusively on drawdowns from peak closes. By quantifying this localized panic, the script provides a mathematical representation of capitulation—a state where sell-side liquidity is exhausted, and rational market equilibrium is poised to return.
● Gaussian Distribution and Standard Deviation Anomalies
To objectively define an "exhaustion point," the script relies on the statistical concept of normal distribution. By applying a Simple Moving Average to the raw volatility data, it establishes a baseline mean of market stress. The inclusion of Standard Deviation bands (Bollinger Bands) allows the system to measure dispersion from this mean. When the volatility index breaches the upper band, it represents an anomaly—an event occurring outside the expected standard deviation threshold. Statistically, extreme deviations from the mean are unsustainable, implying an imminent reversion. This indicator isolates these rare deviations to time market entries.
● The Role of True Range in Risk Normalization
Risk management within the script is governed by the Average True Range (ATR), a concept introduced by J. Welles Wilder. The True Range accounts for absolute price movement, including gap openings, providing a more comprehensive measure of market kinetic energy than standard percentage changes. By tying the Stop Loss and Take Profit levels dynamically to the ATR, the script automatically normalizes risk across different market environments. In a highly volatile state, the ATR expands, naturally widening the stop loss to avoid premature invalidation from market noise. In a compressed state, the ATR contracts, tightening the risk parameters. This dynamic adaptation ensures that the statistical risk profile of each trade setup remains proportional to the current localized market geometry.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicador
Fractal Support & Resistance Zones invincible]Fractal Support & Resistance Zones
Fractal Support & Resistance Zones is an advanced market-structure and price-reaction framework designed to identify, evaluate, and dynamically manage support and resistance zones derived from confirmed fractal pivots.
Unlike traditional support and resistance indicators that simply draw horizontal levels at swing highs and lows, this indicator treats every zone as a dynamic market structure object. Each zone develops through its own lifecycle based on price interaction, independent retests, reaction strength, penetration, estimated buying and selling activity, structural confirmation, trend alignment, and eventual support/resistance role reversal.
The objective is not simply to show where price previously turned.
The objective is to evaluate which zones are still technically relevant, which have gained confirmation, which are weakening, and which may provide better structural trade locations.
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Fractal-Based Zone Detection
The indicator identifies two independent classes of fractal pivots:
Weak Fractals
Shorter-length pivots designed to capture local price reactions and minor structural turning points.
Major Fractals
Higher-strength pivots based on a larger fractal window. These represent more significant swing highs and swing lows and receive greater importance within the zone-quality model.
Fractal support zones are created from confirmed pivot lows, while fractal resistance zones are generated from confirmed pivot highs.
The detection timeframe can be independently selected, allowing zones from a higher timeframe to be displayed on a lower-timeframe chart.
Higher-timeframe fractal data is requested with lookahead disabled to prevent future data from being intentionally introduced into the pivot calculation.
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Dynamic Support and Resistance Zones
The indicator creates price zones rather than single horizontal lines.
Markets rarely react from one exact price. Orders, liquidity, and previous positioning are often distributed across a price range. The zone model therefore attempts to represent the broader reaction area surrounding a fractal pivot.
Three zone-width methods are available:
ATR
Zone width is calculated from Average True Range and automatically adapts to market volatility.
Pivot Candle
The structure of the original fractal candle is used to determine the zone width.
Hybrid Candle + ATR
Combines pivot-candle structure with an ATR-based volatility limit.
The hybrid method is designed to prevent unusually large pivot candles from creating excessively wide support or resistance areas.
A minimum tick-based width can also be configured for instruments with very small price movements.
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Fractal Zone Clustering
Markets frequently produce several nearby fractal pivots around the same price area.
Drawing every pivot independently can create overlapping boxes and unnecessary chart congestion.
The indicator therefore includes a fractal clustering engine.
Nearby same-side fractals may be merged into a common structural zone when:
* They are within the configured ATR merge distance.
* The resulting merged zone does not exceed the maximum permitted ATR width.
* The maximum cluster count has not been exceeded.
* Fresh major zones are not being merged into previously tested or damaged zones when protection is enabled.
The cluster count becomes one component of the zone-quality model.
A cluster does not automatically mean a zone is strong. It simply indicates that multiple independent fractal structures developed around a similar price area.
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Independent Retest Detection
A major feature of the indicator is the distinction between bars inside a zone and independent zone retests.
If price remains inside a support or resistance area for several candles, those candles are not counted as multiple tests.
A new test is counted only after price:
1. Interacts with the zone.
2. Moves sufficiently away from the zone.
3. Travels the configured ATR reset distance.
4. Returns to the zone again.
This creates a more realistic retest model and avoids artificially increasing the test count during sideways congestion.
The label displays the number of independent tests recorded for each selected zone.
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ATR-Based Reaction Measurement
After an independent zone retest, the indicator measures how strongly price reacts away from the zone.
Reaction strength is normalized using ATR.
For a support zone, the engine measures upward movement from the reaction anchor.
For a resistance zone, the engine measures downward movement from the reaction anchor.
The strongest reaction generated by the zone is stored as its **Best Reaction ATR**.
Two configurable reaction thresholds are used:
Verified Reaction
The zone has produced the minimum ATR reaction required for technical validation.
Proven Reaction
The zone has generated a stronger ATR reaction and has also accumulated sufficient independent testing.
This prevents a zone from receiving a high structural status simply because price briefly touched it.
The market must demonstrate an actual directional response.
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Dynamic Zone Status System
Every zone is continuously classified according to its current structural condition.
FRESH
A newly created major zone that has not yet received an independent retest.
Fresh zones may represent relatively untouched structural areas.
WEAK
A zone originating from the shorter weak-fractal detection model.
Weak zones can still produce valid reactions but receive a lower fractal-grade contribution in the quality model.
VERIFIED
A zone that has been tested and remains structurally active.
Reaction behaviour and zone validation contribute dynamically to its score.
PROVEN
A zone that has accumulated multiple independent tests and generated a reaction exceeding the configured Proven Reaction ATR threshold.
Proven zones represent areas with demonstrated historical reaction behaviour.
DAMAGED
Price has penetrated a configurable percentage of the zone.
A damaged zone has not necessarily broken, but deeper penetration reduces its quality score.
BROKEN
Price has invalidated the zone according to the selected break-confirmation method.
Break confirmation can use either:
* Close Beyond Zone
* Full Candle Beyond Zone
Broken zones may optionally remain visible for historical analysis.
FLIPPED SUPPORT / FLIPPED RESISTANCE
A previously broken zone has confirmed a structural role reversal.
Previous support may become resistance.
Previous resistance may become support.
The indicator does not immediately flip a zone when price crosses it. A separate role-reversal confirmation process is required.
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Zone Damage and Penetration Tracking
Zone quality is not binary.
A support or resistance area may gradually weaken before it completely breaks.
The indicator continuously measures the maximum percentage of zone penetration.
For support, penetration is measured downward through the support area.
For resistance, penetration is measured upward through the resistance area.
When penetration exceeds the configured damage threshold, the zone is classified as ** DAMAGED
Damage also applies a progressive penalty to the quality score.
This means a deeply penetrated zone may remain technically valid while receiving a lower structural ranking.
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Support and Resistance Role Reversal
The indicator contains a dedicated zone-flip engine.
After a support or resistance zone breaks, the engine monitors whether price moves sufficiently beyond the former zone.
The broken zone must first establish separation from price using a configurable ATR distance.
Price must then return to the previous structural area.
Depending on the selected confirmation mode, the indicator can require:
Zone Reclaim Only
The opposite-side retest itself is sufficient.
Close Away
Price must close a configurable ATR distance away from the zone.
Rejection or Engulfing
The retest can be confirmed through rejection behaviour, an engulfing candle, or a sufficiently strong close away from the zone.
Once confirmed:
* Broken support can become resistance.
* Broken resistance can become support.
The zone is then reset into a new lifecycle as a flipped structural area.
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Estimated Buy and Sell Activity
The indicator includes an estimated directional volume model.
Because standard TradingView volume does not directly provide true executed bid and ask volume for every market, buying and selling activity is estimated from candle position within the candle range.
A close nearer the candle high allocates a greater portion of volume to estimated buying activity.
A close nearer the candle low allocates a greater portion of volume to estimated selling activity.
The model can use:
* Pivot volume only.
* Pivot volume plus independent retest activity.
Selected zone labels display estimated activity as:
B 64% | S 36%
This should be interpreted as an estimated directional participation model rather than true exchange-level order-flow delta.
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Multi-Factor Zone Quality Model
Every zone receives a dynamic quality score from 0 to 10.
The score is not based on a single condition.
The model combines several structural factors.
Fractal Grade
Major fractals receive a stronger contribution than weak fractals.
Rejection Wick
The pivot candle's rejection wick is normalized against ATR.
Larger relative rejection can increase the origin score.
Independent Retests
The model evaluates how many genuinely independent zone tests have occurred.
Importantly, unlimited retests do not continuously improve quality.
Excessive testing can weaken a zone.
Reaction Strength
The strongest measured ATR reaction contributes to zone validation.
Estimated Volume Confirmation
Pivot volume participation and directional estimated activity contribute to the score.
Fractal Cluster
Multiple nearby fractals can increase structural confidence.
Freshness
Newer zones receive a greater freshness contribution.
As a zone ages, this component gradually decreases.
The weight of every major quality component can be adjusted by the user.
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Origin Score and Validation Score
Internally, the quality engine separates zone evaluation into two conceptual stages.
Origin Quality
Evaluates how the zone was created.
This includes:
* Fractal grade.
* Pivot rejection wick.
* Pivot volume participation.
* Fractal clustering.
* Zone freshness.
Validation Quality
Evaluates what price did after the zone was created.
This includes:
* Independent retests.
* Reaction strength.
* Directional estimated activity.
Fresh zones are influenced more heavily by origin quality.
As price begins interacting with a zone, validation behaviour receives greater influence.
This allows the quality score to evolve with market behaviour rather than remaining permanently fixed at zone creation.
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Retest Exhaustion Penalty
A common assumption is that more support or resistance tests always make a zone stronger.
This indicator does not use that assumption.
Repeated interaction may gradually consume resting liquidity around a price area.
After the configured number of retests, the indicator begins applying an excess retest penalty.
The penalty increases with each additional independent test.
As a result, a heavily tested zone may receive a lower quality score even if it has not formally broken.
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Congestion Penalty
Price remaining inside a zone for an extended period may indicate balance, absorption, or structural deterioration.
The indicator tracks consecutive bars interacting with each zone.
After the configured congestion threshold, a progressive quality penalty is applied.
This helps distinguish a clean rejection from prolonged price acceptance inside the area.
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Trend Regime Alignment
An optional EMA-based trend regime is included in the quality model.
Support zones located in an unfavourable bearish regime can receive a counter-trend penalty.
Resistance zones located in an unfavourable bullish regime can also receive a penalty.
The trend filter does not automatically delete zones.
Instead, it modifies their relative quality.
This allows historically valid support and resistance areas to remain visible while acknowledging the current directional regime.
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Market Structure Break Detection
The indicator includes an independent Market Structure Break, or **MSB**, engine.
Confirmed swing highs and swing lows are detected using a configurable pivot length.
A bullish MSB occurs when price closes above the latest eligible structural high with sufficient momentum confirmation.
A bearish MSB occurs when price closes below the latest eligible structural low with sufficient negative momentum confirmation.
Momentum is normalized using a Z-score calculated from recent price changes.
This reduces the number of minor structural crossings classified as meaningful breaks.
Each structural pivot can generate only one MSB event, preventing repeated labels from appearing after the same swing has already been broken.
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Zone-to-Structure Confirmation
Market Structure Breaks can also validate previously tested zones.
When a bullish MSB occurs, the indicator searches for a recently touched support zone.
When a bearish MSB occurs, it searches for a recently touched resistance zone.
The most recent eligible zone can receive structural confirmation.
A configurable quality bonus is then applied.
This creates a basic structural sequence:
Zone interaction → Price reaction → Market Structure Break
The intention is to distinguish zones that merely produced a temporary bounce from zones followed by a measurable structural shift.
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Premium and Discount Trade Location
The indicator uses the latest structural swing high and swing low to estimate the current swing midpoint.
The midpoint represents the 50% equilibrium level of the structural range.
When Premium/Discount grading is enabled:
* Support zones are favoured when positioned in the discount portion of the swing.
* Resistance zones are favoured when positioned in the premium portion of the swing.
This condition contributes to the displayed Trade Grade.
It does not remove zones from the chart.
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Trade Grade System
Selected zones receive a simplified structural trade grade.
Grade A+
Reserved for high-quality zones with strong alignment between:
* Zone quality.
* Trend regime.
* Premium/discount location.
* Low structural damage.
* Limited retest exhaustion.
Grade A
Strong-quality zones with favourable trend alignment and low damage.
Grade B
Moderate-to-strong structural zones that are not classified as weak fractals.
Grade C
Lower-quality but still technically visible zones.
Grade D
Zones with poor overall structural quality.
The Trade Grade is a contextual ranking system.
It is not an automatic buy or sell signal.
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Star-Based Quality Display
To make the detailed labels easier to read, the numerical quality model is represented using stars.
★★★★★ = Quality 8.0 or higher
★★★★ = Quality 6.0 to 7.99
★★★ = Quality 4.0 to 5.99
★★ = Quality 2.0 to 3.99
★ = Quality below 2.0
The stars provide a quick visual representation of the underlying 0–10 quality score.
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Compact Detailed Labels
Selected zones can display compact one-line labels such as:
VERIFIED SUP | B 64% | S 36% | ★★★★ | Tests: 2 | Grade A
The label contains:
* Current zone status.
* Support or resistance classification.
* Estimated buying activity.
* Estimated selling activity.
* Quality stars.
* Independent retest count.
* Structural Trade Grade.
Because displaying a detailed label on every zone can create significant chart congestion, two label modes are available.
Nearest + Strongest
Prioritizes the nearest support, nearest resistance, and the highest-quality remaining zones.
All Visible Zones
Displays labels for every currently visible zone.
The maximum number of detailed labels can also be controlled.
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Nearest Zone Highlighting
The indicator continuously identifies:
* The nearest active support below price.
* The nearest active resistance above price.
These zones can receive stronger border highlighting.
This makes the most immediately relevant structural areas easier to identify without removing historical zones from the chart.
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Structural Equilibrium Zone
The latest confirmed structural swing high and swing low are used to calculate a 50% equilibrium area.
The indicator plots:
* Swing origin.
* Swing destination.
* 50% midpoint.
* Configurable equilibrium zone thickness.
Before price interacts with the equilibrium area, the zone is displayed as the current structural midpoint.
After price touches the area, the indicator changes its state to:
Equilibrium touched · wait for structure
This is intended to remind the trader that equilibrium interaction alone is not necessarily directional confirmation.
Additional market structure may be required.
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Alert Conditions
The indicator provides alert conditions for important zone and market-structure events:
* New fractal support zone.
* New fractal resistance zone.
* Independent zone retest.
* Zone verified by ATR reaction.
* Zone reaching Proven status.
* Zone becoming Damaged.
* Zone break.
* Support/resistance role reversal.
* Bullish Market Structure Break.
* Bearish Market Structure Break.
These alerts can be used to monitor structural changes without continuously watching the chart.
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Suggested Interpretation
This indicator is designed as a market context and structural analysis tool.
A possible analytical workflow is:
1. Identify the nearest active support and resistance.
2. Review the zone's current status.
3. Check estimated buy/sell activity.
4. Evaluate the quality stars.
5. Review the independent test count.
6. Check whether the zone is fresh, validated, damaged, or exhausted.
7. Evaluate trend alignment.
8. Check premium or discount location.
9. Observe whether price produces a structural break after the zone reaction.
10. Use the Trade Grade as an additional contextual ranking.
No single factor should be interpreted independently.
A five-star zone can still break.
A damaged zone can still generate a reaction.
A weak fractal can still become structurally relevant.
The purpose of the model is to organize multiple price-action variables into a consistent framework.
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Important Volume Note
The Buy and Sell percentages displayed by this indicator are estimated directional volume statistics.
They are calculated by allocating candle volume according to the closing position within the candle's high-low range.
They do not represent true bid/ask volume, footprint delta, or exchange-level aggressive buying and selling.
The values should therefore be used as a relative activity estimate only.
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Non-Repainting Considerations
Fractal pivots require confirmation bars.
A zone is created only after the corresponding pivot has been confirmed by the selected fractal length.
Higher-timeframe fractal calculations use `lookahead_off`.
Therefore, historical zones should be interpreted from the point at which the fractal became technically confirmed rather than assuming the pivot was known at the exact swing candle in real time.
Market Structure Break conditions are also evaluated using confirmed price and momentum conditions.
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Final Note
Fractal Support & Resistance Zones is designed for traders who prefer **dynamic structural zones instead of static support and resistance lines**.
The indicator combines fractal structure, volatility-normalized zone construction, independent retests, reaction measurement, damage analysis, estimated directional activity, structural breaks, trend regime, premium/discount location, and role reversal into a unified zone lifecycle model.
It is intended to help answer three practical questions:
Where is the important price structure?
How has price behaved around that structure?
Is the zone gaining validation, remaining fresh, or gradually losing structural quality?
This indicator is intended for technical analysis and research purposes only. It does not constitute financial advice. Traders should independently evaluate market conditions and apply appropriate risk management.
Indicador
Market Zone [Jannu]1. Description
Markets do not move in straight lines. Price frequently departs from equilibrium through gaps, rapid displacement, or impulsive expansion from compressed bases. These departures leave behind areas of unresolved imbalance; zones where the auction process was incomplete. Market Zone is the foundational Imbalance component of the ET Massif Framework research suite. It identifies three distinct forms of such imbalance and renders them as dynamic, self-managing zones on the chart.
2. Features
The indicator combines three detection methods:
Fair Value Gaps (FVGs)
Three-candle imbalances where a qualifying middle candle displaces price fast enough that the gap between the outer candles remains unfilled. Detection requires ATR expansion, minimum gap size, VWAP position relative to the gap, volume, and candle body proportion.
Session Gaps
Price discontinuities between consecutive session closes and opens, filtered by ATR magnitude.
Points of Interest (POI)
The consolidation base that preceded a significant impulsive move. Once an impulse exceeding a defined ATR multiple is confirmed, the indicator locates the tight-range candle immediately before the expansion and uses its high/low as the zone boundary.
3. Detection Logic
A. Fair Value Gaps (FVG)
Detected using a qualified three-candle imbalance structure.
Criteria:
Low > High (Bullish) or High < Low (Bearish)
Middle candle range > 1.1× ATR
Gap size > 1.0× ATR
Middle candle VWAP above High (Bullish) or below Low (Bearish)
Volume > 1.2× 180-bar average volume
Candle body > 65% of total range
Qualifying FVGs display a diamond marker at the middle candle VWAP. Diamond size scales with relative volume. Boxes extend forward with each new bar and contract as candle bodies close into the zone. Zones are removed once fully covered.
B. Session Gaps (FVG)
Detects price discontinuities between the current open and the prior close.
Criteria:
Absolute gap > 1.5× ATR
Gap boxes are drawn between the prior close and the current open, extend forward, and contract as candle bodies close into them. Zones are removed once fully covered.
C. Points of Interest (POI)
Identifies the consolidation base preceding a significant directional expansion.
Criteria:
An impulsive move within the previous 5 bars exceeding 2.0× ATR
Majority of bars within the move are directional
Once an impulse is confirmed, the indicator searches the preceding bars for the first candle whose range is below 0.5× ATR. That candle's high and low define the POI zone. A 20-bar cooldown prevents overlapping detections. Zones are invalidated when a candle body closes through the zone boundary. Invalidated zones remain on the chart in grey. All criteria are configurable via settings. Use stricter rules for lower timeframes or volatile assets.
4 . Use
Jannu is a structural reference tool. The zones mark where price departed from equilibrium; Determining which outcome is unfolding requires the broader analytical context in which the indicator is used.
The same zone type can carry different interpretations depending on context. On the CRWD daily chart in early 2026, a cluster of large bearish FVGs formed during a sharp sell-off, yet price reversed immediately and never returned to those zones. The imbalance was not evidence of sellers in control; it was the mechanism through which aggressive selling exhausted supply before buyers drove price upward. Contrast this with the series of bearish FVGs that formed during ADBE's long decline from late 2024. Same structure, different character. The indicator marks the zone; contextual analysis is required.
日本語概要 (Japanese Summary)
Jannuは、価格が均衡から乖離した領域を可視化するリファレンス指標であり、ET Massifインジケーターフレームワークの一部として開発されました。セッションギャップ、フェアバリューギャップ（FVG）、ポイント・オブ・インタレスト（POI）の3種類の価格不均衡を検出し、動的なゾーンとしてチャート上に表示します。これらのゾーンは、ローソク足の実体が内部に進入するにつれて縮小し、完全に埋まった時点で自動的に削除されます。市場構造の参照フレームワークとして機能します。
中文概要（Chinese Summary）
Jannu 是一款將價格偏離均衡的區域進行視覺化呈現的參考指標，作為 ET Massif 指標框架的一部分所開發。本指標可偵測三種價格失衡類型：開盤缺口（Session Gap）、合理價值 gap（FVG）以及關注區域（POI），並將其作為動態區間顯示於圖表上。這些區間會隨著 K 線實體進入而縮減，並在完全填補時自動刪除。本指標作為市場結構的參考框架使用。
Disclaimer:
This script is a research tool for market structure analysis and educational purposes only. It does not constitute financial advice. Trading involves risk. Indicador
Cost Basis Map [FEELS]Who is in profit at this level, and who is trapped? Cost Basis Map estimates the answer for any symbol and any timeframe from nothing but price and volume. On-chain analytics answers the same question for Bitcoin with realized price and supply in profit, but those metrics need blockchain data, so they stop at BTC. This script rebuilds that framework from OHLCV for everything else.
The headline number is the share of open positions that is underwater right now. Everything else on the chart is built from the same ledger.
HOW THE LEDGER WORKS
The script maintains a ledger of open positions. Every bar adds its traded volume to the ledger at that bar's price, and the same volume closes a proportional share of the older positions. Old entries rotate out at a pace set by turnover rather than time: a few high-volume bars can replace a big part of the book, a quiet stretch barely touches it. The result is a bar-by-bar estimate of which positions are still open and what they paid. From it the script derives:
- Break-even line: the volume-weighted average entry of all open positions. This is the market's collective cost basis, the same construction on-chain research calls realized price.
- Underwater share: the % of open positions whose entry sits above the current price. It drives the headline, the fill color and the sentiment states (euphoria, healthy uptrend, mixed, majority trapped, extreme pain).
- Open-positions profile: the right-side histogram shows where the open positions were entered. Red rows above price are trapped positions waiting overhead, which tends to act as resistance and as squeeze fuel once price runs through it. Teal rows below are holders in profit, where support usually forms. The widest row is tagged as the heaviest entries.
- Capitulation marker: printed when an unusually large amount of volume (a z-score test) realizes losses below break-even. On everything I tested these cluster near major bottoms.
- Euphoria marker: printed when nearly every position is in profit and turnover is elevated, a condition typical of late trend.
- Recent entries line: the average entry of the newest cohort, the positions most likely to panic or chase first.
Positions are money-weighted by default (volume × price), with an option to weight by raw volume units instead.
HOW TO TRADE IT
1. Regime first. Price holding above a rising break-even line with a low underwater share is a healthy trend, and pullbacks into the line are buyable by ordinary trend rules. When price loses the break-even line the regime flips: the average holder is now at a loss, and rallies back into the line run into their exit orders.
2. Read the profile as a map of who needs what. Heavy red rows above price mark where trapped holders wait to break even, so expect supply there. Heavy teal rows below mark profitable entries that tend to get defended.
3. Extremes are mean-reversion territory. A capitulation marker on top of an extreme underwater share has marked the areas where selling exhausts. A euphoria marker with a single-digit underwater share is the same warning on the upside.
HONESTY
This is an estimation model built from price and volume. Real per-account position data does not exist anywhere on any platform; on-chain analytics estimates it too, just from a different source. The model's assumptions are simple and disclosed: entries at the bar's typical price, proportional volume-driven rotation of old positions. A fixed marker cooldown keeps signal episodes readable. Markers print on bar close and do not repaint. The tool is most informative on volatile assets and intraday-to-daily timeframes; on slow index weeklies the market spends years in profit and the picture is honestly boring. Volume quality matters: prefer a real exchange feed (e.g. Bitstamp, Coinbase, a specific futures contract) over composite indices, because aggregated feeds smooth out the volume spikes the engine reads. On symbols with no volume data the script falls back to equal weighting.
ALERTS
Cost basis reclaimed · Cost basis lost · Majority underwater (60%+) · Nearly all in profit · Capitulation volume · Euphoria turnover.
SETTINGS
Every input has a tooltip. The main ones: "Position memory" sets how long the ledger remembers (volume-weighted), "Ledger resolution" sets the price granularity, profile size/spacing and all colors are adjustable, "Text size" scales the captions for presentations.
ORIGINALITY
A volume profile shows where volume traded. This ledger goes one step further and estimates which of those positions are still open and what they paid, i.e. cost-basis analytics of the kind used in on-chain research, reconstructed from OHLCV for any market. The break-even line is not an MA or a VWAP band in disguise: it is computed from the position ledger, not from a lookback window. Engine and rendering are written from scratch. Indicador
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AlgoZ Pro Price ActionAlgoZ Pro Price Action is a clean price action based forex indicator built to help traders identify potential Buy, Sell, and Exit areas using a combination of market structure, trend filtering, volatility logic, and dynamic trade management.
This indicator is designed around the idea that not every trade needs to have a high win rate to be useful. Instead of only looking for quick scalp targets, AlgoZ Pro Price Action is built to manage trades with a runner-style approach. The goal is to cut weak trades faster, protect trades that start moving in the right direction, and allow stronger moves to continue when momentum is present.
The default settings are best suited for 1-minute EUR/USD forex trading. Other forex pairs and timeframes may work differently and should be tested before use.
The indicator uses market structure breaks to identify possible directional shifts. When price breaks key internal support or resistance levels, the script checks multiple filters before plotting a signal. These filters are designed to reduce low-quality signals during chop, weak momentum, or overextended conditions.
AlgoZ Pro Price Action includes Buy, Sell, and Exit labels directly on the chart. Buy signals are shown in teal, Sell signals are shown in pink, and Exit signals are shown in a neutral color. The bars can also be colored based on the active signal direction so it is easier to visually track the current market bias.
One of the main parts of this indicator is the trend lock system. The trend lock helps prevent the indicator from flipping back and forth too quickly during noisy market conditions. It uses EMA trend structure, slope behavior, and confirmation bars to decide whether the market is currently favoring Buy-side or Sell-side continuation. Countertrend signals must be stronger before they are allowed through, which helps reduce random reversal signals during an active move.
The indicator also includes automatic forex pair adjustment. It detects whether the chart is a JPY pair or a non-JPY forex pair and automatically adjusts pip size calculations. This helps prevent issues where a stop or exit calculation is too tight or too wide because of the symbol’s price format. The script also includes auto volatility tuning, which uses ATR-based logic to scale stop size, runner triggers, trailing stop distance, dead-trade protection, and cooldown behavior based on the current pair’s movement.
Trade management is handled through a dynamic exit engine. Instead of using only fixed take profit levels, the indicator uses runner logic. Once a trade moves far enough in profit, the trade can enter runner mode. From there, the script can move the stop, protect profit, and trail the trade if the move continues. This allows stronger trades to breathe while still giving the indicator a way to exit when momentum fades.
AlgoZ Pro Price Action also includes dead-trade protection. If a trade has been open for a certain number of bars and has failed to make meaningful progress, the script can plot an Exit signal. This is designed to help remove weak trades that are not moving enough to justify staying in them.
The indicator includes several optional filters and controls, including EMA trend filtering, ADX strength filtering, chop filtering, candle body quality filtering, minimum EMA separation, price distance from the slow EMA, overextension protection, post-exit cooldown, and emergency protection logic.
Main features include:
• Buy, Sell, and Exit labels
• Teal and pink AlgoZ Pro visual theme
• Price action and market structure based signals
• Internal support and resistance break logic
• Optional BOS / CHoCH structure markings
• EMA trend filtering
• ADX trend strength filter
• Chop and range filter
• Candle quality filter
• Trend lock system
• Countertrend signal protection
• Auto pip size detection
• Auto adjustment for JPY and non-JPY forex pairs
• ATR-based auto pair tuning
• Dynamic stop logic
• Runner-style trade management
• Breakeven / profit lock logic
• Trailing stop logic for stronger moves
• Dead-trade exit protection
• Optional bar coloring
• Optional entry and stop lines
• Optional status table
Recommended default use:
1-minute EUR/USD forex chart.
Other forex pairs and timeframes may require adjustment depending on spread, volatility, session, and market conditions. Indicador
HTF Support/Resistance Multi-TapThe HTF Multi-Tap S/R Zones is an advanced structural indicator designed for lower timeframe traders who need higher timeframe confluence without cluttering their charts.
Instead of drawing infinite lines everywhere, this indicator tracks historical pivot points from a Higher Timeframe (HTF) of your choice and dynamically builds highly-validated "Zones of Interest" directly onto your current chart. It is specifically engineered to find areas where price has repeatedly struggled to break through.
Core Features:
Dynamic Wick Absorption (Zones): When price wicks into the same general area, the script doesn't just plot a single static line. It dynamically expands the top and bottom borders of a "Zone" to encompass the full range of the historical wicks, giving you a literal block of rejection to trade against.
Zone Merging: If two adjacent zones expand enough to touch each other, the indicator will seamlessly merge them into one massive, highly significant structural block.
Volume & Tap Tracking: Every time price taps a zone, the script records the touch and pulls the exact volume that occurred on that HTF candle. The zone's label clearly displays the total accumulated volume and the number of taps it took to build it.
Automated Volume Grading: The indicator continuously scans the active zones on your chart and automatically tags the zone with the absolute highest historical volume with a (⭐ Max Vol) label, instantly showing you the strongest defensive wall on the board.
Clean & Focused: By default, it only displays the 3 closest Support zones and the 3 closest Resistance zones to the current price, keeping your chart clean and focused strictly on the levels that matter right now.
How to Use (Confluence):
This is not a standalone entry signal; it is a confluence tool.
If you are trading on a 1-minute or 5-minute chart, set the indicator's HTF to 15m or 1H. Use these projected zones as high-probability areas to look for your lower timeframe entry models (like break of structure, fair value gaps, or engulfing candles). The (⭐ Max Vol) zones are prime locations for strong reversals or major breakout continuations.
Settings:
Higher Timeframe: Choose which timeframe to pull structural pivots from.
Proximity Threshold %: Adjust how close price needs to come to an existing zone to be considered a "Tap" and expand the box. Increase this slightly for highly volatile assets to absorb larger wicks.
Minimum Taps: Determine how many times a level must be tested before it is considered valid and plotted on your screen.
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