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Analisis Tren
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.
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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.
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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.
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GMS Ultimate IndicatorGMS Ultimate Indicator is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the market’s direction. It tracks 4H, 1H, 15M, and 5M trend conditions, structure state, and price position relative to selected EMAs.
The indicator also identifies BOS, CHOCH, swing highs and lows, liquidity pools and sweeps, previous day/week levels, protected 1H structure, 4H reaction zones, retests, rejection candles, potential setups, targets, and alerts.
Built for scalpers, intraday traders, and swing traders who use market structure and price action. For analysis and educational purposes only.
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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.
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SMT + Order Block + CISD (NQ/ES/YM)Fractal orderblock that took out liquidity and had a cisd following it. price comes back the orderblock or midpoint and has a low timeframe cisd
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GMS Ultimate Structure + Price ActionGMS Ultimate Indicator is a customizable multi timeframe market structure and price action tool designed to help traders stay aligned with the dominant side of the market.
It analyzes the Daily, 4H, 1H, 15M, 5M, and 1M trends using HH/HL and LH/LL structure, while identifying pullbacks, consolidation, liquidity sweeps, BOS, CHOCH, protected structure, reaction zones, retests, and rejection candles. Its setup engine helps locate higher probability entries within the broader trend, with adjustable alerts, dashboard layouts, and display settings.
For analysis and educational purposes only. Use proper risk management and backtesting.
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Weekly Close Dashed Line (Trading-Day Aware)Script knows first and last day of trading.
Draws the line between those days.
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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.
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PulseBox TraderPulseBox Trader is a multi-timeframe trading assistant designed for both scalping and swing trading. It helps traders see when a possible long or short setup is forming, what filters are active, where the trade box entry is, where the swing-based stop loss is, and where ATR-based profit targets may sit. It also may help trail or stay in the Trade to maximise gains.
This tool is provided for educational and decision-support purposes only. It is not financial advice, does not guarantee profitable trades, and should be tested carefully before any live use. Please feel free to use it for Non Commercial purposes.
The indicator combines several entry ideas:
1. Supertrend flip after candle close
2. Supertrend continuation with VWAP or EMA200 trend alignment
3. RSI trigger candle breakout
4. Doji breakout
5. Flat base or flat top breakout
Filters:
1.VWAP / EMA200 Lead Filter
Auto mode uses VWAP on timeframes up to 15 minutes.
Auto mode uses EMA200 on timeframes above 15 minutes.
Helps decide whether long or short trade boxes are allowed.
2.Supertrend Direction Filter
Longs are preferred when Supertrend is bullish.
Shorts are preferred when Supertrend is bearish.
3.ADX / DMI Momentum Filter
Blocks weaker trade boxes when momentum is low.
Uses ADX plus +DI / -DI.
The lead filter automatically adapts to the chart timeframe:
- On lower timeframes up to 15 minutes, VWAP can guide the trade direction.
- On higher timeframes above 15 minutes, EMA200 can guide the trade direction.
This means the same tool can be used for short-term scalping as well as higher-timeframe swing trading.
The trade box is designed to make the setup easier to understand visually. When a valid setup appears, the box shows:
- Entry price
- Swing-based stop loss
- TP1 at 0.5 ATR
- TP2 at 1 ATR
- TP3 at 1.5 ATR
- TP4 at 2 ATR
- Approximate percentage profit for each target
The panel and settings is built to help newer traders understand what is happening without needing to inspect every setting. It shows:
- Whether a long or short trade box is active
- Which entry method triggered
- Which filters are active
- Any caution, such as price moving against the entry
- Current market session
- Long, short, and total win-rate statistics
- Entry, stop loss, and target levels
The indicator also includes optional market session tools :
- Asian session
- UK session
- Indian session
- US session
- Session open and close lines
- Optional opening range box shading
These session tools are turned off by default, so the chart stays clean unless the trader wants them.
PulseBox Trader is not a buy/sell guarantee. It is a structured decision-support tool . It attempts to combine trend direction, candle triggers, volatility targets, and session awareness into one readable chart overlay. The SL's may be large, please use discretion. Traders should still use risk management, check market context, and test settings before using it live. Capital Appreciation and Capital preservation both are important.
This indicator includes concepts inspired by common technical-analysis methods such as Supertrend, VWAP, EMA200 trend filtering, RSI trigger candles, ATR-based targets, swing-based stop placement, session markers, opening range concepts, doji candles, and marubozu breakout logic.
parts of the script design, organization, wording, panel layout, and Pine Script implementation were developed with AI assistance using OpenAI Codex.
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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.
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Key Pivot Collector (Dataset-Oriented)Extracts clean, confirmed pivot highs and lows for structural analysis and backtesting.
Filters out noise using ATR, % move, and bar distance, keeping only significant swing points (PH / PL) instead of cluttered HH/HL/LH/LL sequences.
Designed for:
• pivot-based evaluation (T-5, T-1, etc.)
• dataset generation
• market structure analysis
Not a trading signal indicator — pivots are confirmed with delay and plotted on the true event bar.
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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
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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.
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KC Confirmed Order BlocksKC Confirmed Order Blocks is a rule-based educational indicator designed to display potential bullish and bearish reaction zones following confirmed breaks of market structure.
A bullish order block is defined as the most recent bearish candle located before a confirmed bullish break above the latest pivot high.
A bearish order block is defined as the most recent bullish candle located before a confirmed bearish break below the latest pivot low.
Main features:
• Confirmed pivot-based structure detection
• Bullish and bearish break-of-structure confirmation
• Full-candle or candle-body order-block ranges
• Optional ATR displacement filter
• Optional volume filter
• Touch, midpoint and full-fill mitigation methods
• Close-based or wick-based invalidation
• Automatic management of active, mitigated and invalidated zones
• Configurable number of visible zones
• Bullish and bearish order-block alerts
• Compact market-status dashboard
Methodology:
The indicator first identifies confirmed pivot highs and pivot lows. These pivots require the selected number of candles on both sides before they are confirmed.
After a confirmed bullish break above the latest pivot high, the indicator searches backward for the nearest bearish candle within the selected lookback period. That candle's full range or body is displayed as a bullish order block.
After a confirmed bearish break below the latest pivot low, the indicator searches backward for the nearest bullish candle. That candle's range is displayed as a bearish order block.
Mitigation:
Touch means price enters the nearest edge of the zone.
Midpoint means price reaches 50% of the zone.
Full Fill means price reaches the opposite edge of the zone.
Mitigation only indicates that price has revisited the zone. It does not guarantee a reversal.
Invalidation:
A bullish order block is invalidated when price closes or trades below its lower boundary, depending on the selected setting.
A bearish order block is invalidated when price closes or trades above its upper boundary.
Limitations:
Order-block identification is not universally standardized. This indicator applies a transparent rule-based definition so its behavior can be understood and evaluated consistently.
All zones are calculated from historical price data. Marked zones may fail, become mitigated without reversal or be invalidated during volatile and news-driven market conditions.
This script is intended solely for educational market analysis. It is not financial advice or a recommendation to buy or sell any financial instrument. Users should conduct independent analysis and apply appropriate risk management.
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Market Cycle# Market Cycle (SMA200 Slope / ATR)
**A regime classifier for long-term investors.** It labels the market as **UPTREND**, **DOWNTREND**, or **SIDEWAYS** by reading the *slope* of the Daily 200-period SMA, normalized by ATR so the reading is comparable across any symbol regardless of price or volatility. A hysteresis band and directional memory keep the state stable — it commits to a regime and holds it until the trend genuinely turns, instead of flipping on every wiggle.
## How it works
1. **ATR-normalized slope.** The per-bar change of the Daily SMA200 over a lookback window is divided by ATR (and ×100 for readability). This expresses the trend's strength in "ATRs per bar," a volatility-neutral unit that behaves the same on a $5 stock and a $5,000 index.
2. **Hysteresis state machine.** Entering a trend requires the slope to cross an **enter threshold**; leaving it only happens once the slope falls back through a lower **exit threshold**. The gap between the two creates a sticky band that filters noise and prevents whipsaw.
3. **Directional memory (continuation discount).** After a pause, re-entering the *same* direction the market just came from is treated as continuation and needs a smaller threshold, while a full reversal still requires the complete enter threshold. This makes the indicator resume established trends quickly but stay skeptical of reversals.
4. **Daily-locked & multi-timeframe consistent.** The signal and the entire state machine run inside the Daily context. The committed regime on a closed Daily bar is therefore **identical whether you view the Daily, Weekly, or Monthly chart** — no timeframe disagreement.
## Features
- **Regime coloring** — green (uptrend), red (downtrend), gray (sideways) applied to the SMA200 line and an optional background tint.
- **Sideways memory color** — optionally keep the prior trend's color during a pause, so you can see which trend the sideways phase came out of.
- **Trend age counter** — Daily bars since the last reversal (shown in the status line), continues counting through sideways pauses and only resets on a genuine trend flip.
- **Status line readout** — normalized slope value and trend age, without cluttering the price scale.
- **No repaint on history** — history is leak-free (`lookahead_off`); the current forming Daily bar updates in real time and locks at the Daily close.
## Inputs
- **SMA length / Slope lookback / ATR length** — the core signal parameters.
- **Enter & Exit thresholds** — width of the hysteresis band (in ATR/bar ×100).
- **Re-entry factor** — how much cheaper continuation is versus a fresh entry (0–1).
- **Visualization toggles** — SMA200 line, background tint, and sideways-color behavior.
## How to use
Use it as a **top-down regime filter**: take long-side setups only while the state is UPTREND, stand aside or reduce risk in SIDEWAYS, and treat DOWNTREND as a defensive/cash regime. Because the state is Daily-locked, it pairs well with a Weekly or Monthly chart for position-level context while you execute on lower timeframes.
*This indicator is a market-condition tool, not a buy/sell signal. It does not account for fundamentals, news, or risk management. Past regime behavior does not guarantee future results — always do your own research.*
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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.
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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.
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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.
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Hosoda Equilibrium Chikou Distance TK Convergence# Hosoda Equilibrium — Chikou Distance & Tenkan-Kijun Convergence
## 📊 Opis
Wskaźnik oparty na teorii fal Hosody (twórcy Ichimoku Kinko Hyo), analizujący dwa kluczowe aspekty równowagi rynkowej, które standardowy wykres Ichimoku pokazuje jedynie wizualnie — tutaj są precyzyjnie zmierzone i znormalizowane.
**Chikou Span (linia opóźniona)** to bieżące zamknięcie przesunięte 26 okresów wstecz. Zgodnie z teorią Hosody, jej duża odległość od ceny historycznej oznacza silne **naruszenie równowagi rynkowej** — rynek jest "rozciągnięty" i rośnie ryzyko korekty lub gwałtownego ruchu powrotnego.
**Tenkan-sen i Kijun-sen** (linia konwersji i linia bazowa) to krótko- i średnioterminowa równowaga cenowa. Gdy te dwie linie **zbliżają się do siebie**, oznacza to wygasający impet trendu — rynek wchodzi w fazę niezdecydowania. Samo **przecięcie linii (TK Cross)** jest klasycznym sygnałem zmiany kierunku: Dead Cross (Tenkan przecina Kijun od góry) sugeruje osłabienie i potencjalny spadek, Golden Cross — odwrotnie.
## ⚙️ Jak to działa
Wskaźnik liczy dwie wartości i normalizuje je względem ATR, dzięki czemu progi działają spójnie niezależnie od instrumentu (akcje, forex, krypto) i interwału czasowego:
- **Odległość Chikou od ceny** (histogram) — im dalej od zera, tym silniejsze zachwianie równowagi
- **Odległość Tenkan-Kijun** (żółta linia) — im bliżej zera, tym słabszy trend
Dodatkowo wskaźnik oznacza:
- 🔻 **Dead Cross** — Tenkan przecina Kijun w dół (sygnał spadkowy)
- 🔺 **Golden Cross** — Tenkan przecina Kijun w górę (sygnał wzrostowy)
- 🔴 **Czerwone tło** — sygnał złożony: duże odchylenie Chikou WYSTĘPUJE JEDNOCZEŚNIE ze zbliżeniem Tenkan-Kijun — podwyższone ryzyko odwrócenia trendu
## 🔔 Alerty
Wskaźnik zawiera 5 gotowych warunków alertów, które można aktywować niezależnie:
1. Naruszenie równowagi (duża odległość Chikou)
2. Słabnący trend (zbliżenie Tenkan-Kijun)
3. Dead Cross
4. Golden Cross
5. Sygnał złożony (oba warunki naraz)
## 🛠️ Ustawienia
- Standardowe okresy Ichimoku (Tenkan 9 / Kijun 26 / przesunięcie Chikou 26) — w pełni edytowalne
- Próg "duże odchylenie Chikou" — domyślnie 1.5× ATR
- Próg "zbliżenie Tenkan-Kijun" — domyślnie 0.3× ATR
- Okres ATR do normalizacji — domyślnie 14
## ⚠️ Zastrzeżenie
Wskaźnik ma charakter analityczny i edukacyjny. Nie stanowi rekomendacji inwestycyjnej. Sygnały należy zawsze weryfikować z pełnym kontekstem chmury Kumo, strukturą rynku oraz zarządzaniem ryzykiem. Autor nie ponosi odpowiedzialności za decyzje inwestycyjne podjęte na podstawie tego narzędzia.
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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.
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DANGHIEU EMA 21/55/200 V2 + ADX ATR MomentumDANGHIEU EMA 21/55/200 V2 + ADX ATR Momentum is a trend-based market filter that evaluates:
Trend: based on the EMA 21/55/200 alignment.
EMA Separation: measures the distance between EMA 21 and EMA 55.
ADX: evaluates trend strength.
EMA Momentum: measures the rate of change of EMA 21.
ATR: identifies volatility expansion or contraction.
Market Score: combines all conditions into a 100-point market quality score.
The indicator also supports HTF Simulation by scaling indicator lengths according to the selected timeframe ratio.
How to use
Prioritize long setups when:
EMA 21 > EMA 55 > EMA 200.
EMA Separation passes its threshold.
ADX passes its threshold and is preferably rising.
EMA Momentum is positive and aligned with the trend.
ATR is expanding.
Market Score is 80 or higher.
Prioritize short setups when:
EMA 21 < EMA 55 < EMA 200.
EMA Separation passes its threshold.
ADX passes its threshold.
EMA Momentum is negative and aligned with the trend.
ATR is expanding.
Market Score is 80 or higher.
This indicator is a market filter, not a standalone entry signal. It should be combined with market structure, support/resistance, pullbacks, and risk management.
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