Trade Wzrd - Null Range [Rampage Series]✨ TRADE WZRD - NULL RANGE
Every range has two middles. The one price draws - the midpoint - and the one VOLUME draws: the exact price where everything traded inside the range nets to nothing. Half the participation above, half below. The balance point where the tug-of-war reads null .
Null Range plots that line, builds a channel out of volume's own deviation, and fades the pokes that venture beyond it - out where participation thins to nothing. Not a promise - a receipt.
⚡ THE RAMPAGE SERIES ⚡
Null Range is a release in the Rampage Series - a growing family of volume-and-levels tools built by Trade Wzrd. Every Rampage script ships with the same built-in automation layer: signals don't just paint, they speak. One alert, one webhook, and every entry, exit and fill fires a plain-text order string.
✨ THE NULL RANGE ✨
The dealing range's volume is distributed across a hundred invisible bins, and the 50/50 split becomes a single glowing line. Not a midpoint. Not an average. The price where the crowd's money actually nets to zero. And the line itself is the regime read: it runs CYAN when volume's center of mass sits in the cheap half, RED when it sits in the expensive half. Its right-edge tag carries VOL CENTER - the exact percentage. Hover it for the full story.
⚡ THE VOLUME CHANNEL ⚡
The same bins yield volume's standard deviation - so Null Range draws the channel where participation actually lives: two glowing sigma walls around the line with graded fills, and nothing else. ~95% of traded volume lives inside. Price beyond the wall is price out where volume goes null - extended, exhausted, and ripe for the trap.
✨ KINETIC FUEL ✨
Under the structure, a fuel strip burns: volume times speed, candle by candle, normalized against recent history. Bull fuel hangs off the discount wall in cyan, bear fuel off the premium wall in red - spike squares mark the bars that moved real mass, and WALL SLAM diamonds stamp the bars where that mass physically hit a wall. When a trap springs off a slam, the whole crowd pushed - and still failed.
⚡ THE MARGIN PROFILE ⚡
In the right margin, the range's own bins draw themselves quietly - spanning exactly wall to wall, because that's where the volume that matters lives. Every row is tinted by who owned that price: cyan where buyers dominated, red where sellers did. The Point of Control is ringed in gold. Width, offset, delta coloring - all yours. It's the same engine as the line, laid on its side.
✨ FLOW HEAT ✨
No labels. No lines. Just heat. When price sinks while buy pressure quietly rises, the tape washes faint cyan - someone is loading into weakness. When price rises while sell pressure builds, it washes faint red - someone is unloading into strength. The disagreement between pressure and price, painted as weather. The dashboard's FLOW HEAT row names the shift when it's live.
✨ THE FILTERS ✨
Trade only what the database believes in. Min Win Probability skips signals from cold buckets (once they have enough samples to judge - TRACKING signals always pass). Max Extension skips blow-off pokes. Balance Alignment demands volume's center be on your side. Every active filter shows on the dashboard's FILTERS row, so you always know what the engine is allowed to take.
✨ THE TRAP ✨
The signal: price pokes beyond the two-sigma wall - out into the null - and closes back inside within the trap window. The fakeout. Fade it back toward the line - the default target IS the null range itself, because mean-reversion trades deserve mean-reversion targets. Premium traps short from above, discount traps long from below. EQ Reclaim mode (decisive crosses back through the line, 0.2 ATR minimum, no whipsaw) is there for continuation players.
⚡ THE CONVICTION SCORE ⚡
Here is where Null Range stops asking for trust. Every signal carries one compact number - CONVICTION - that no single ingredient could give you. Underneath it sits this chart's own live database: traps bucketed by how deep the extension ran (0–0.25, 0.25–0.5, 0.5–1.0, 1.0+ ATR beyond the wall), reclaims bucketed by whether volume's center was on their side. That historical win rate is the base - then the score bends with the scenario: volume's center on your side or against you, a tidy poke or a blow-off, a spike bar or thin air. History + balance + depth + fuel, fused into one grade from 5 to 95. Early on, before the buckets earn their samples, the score runs on structure alone - and says so.
And the hover is REACTIVE . Point at any signal and the verdict breaks the score into its parts: the conviction line, thin-sample warnings when a bucket is young, hot/cold bucket verdicts, depth-risk notes on blow-off extensions, balance alignment with the crowd's cost basis, and a fuel read on the participation behind the poke. Same model, different situation, different answer.
✨ THE RECEIPTS ✨
Signals stay on the chart as compact conviction chips - ▲ T 72, ▼ R 64 - one glance, one grade. Every closed trade stamps ✓ TP HIT or ✗ SL HIT exactly where it died. The dashboard tracks the VOL CENTER and PRICE POS gauges, the regime word, EQ/POC/channel width, the last signal with its conviction, the FLOW HEAT state, the database total, and a 10-dot streak row. The trade box carries entry, dashed stop, solid target with live R:R - and the conviction rides inside the entry tag.
⚡ YOURS TO SHAPE ⚡
Every visible piece answers to you: walls on or off, the line gradient or solid, EQ and POC tags toggleable, POC width, profile width and offset, delta colors or one solid tone, fuel strip, slam markers, flow heat, channel fills. The defaults are the house look - the knobs are all yours.
⚡ BUILT-IN AUTOMATION ⚡
One alert ("Any alert() function call") + your webhook URL, and Null Range speaks TradeWzrd order strings:
⚡ Entries with SL/TP prices attached
⚡ Optional opposite-signal close prepended to new entries
⚡ TP/SL-hit close alerts that mirror the on-chart trade box
The same readable comma syntax drives automation across 7+ platforms - percent-risk or fixed-volume sizing, magic numbers, order comments. No lock-in: plain text, any endpoint.
✨ HOW TO READ IT ✨
⚡ One glowing line = where the range's volume nets to null. Cyan = volume built low, red = volume built high
⚡ The graded channel = where ~95% of the volume lives. Price outside the wall = out in the null, extended
⚡ Fuel candles below/above the walls = kinetic energy per bar; squares = spike bars; diamonds = wall slams, mass meeting structure
⚡ Faint cyan/red wash behind the tape = flow heat: pressure and price disagreeing
⚡ The quiet profile in the margin, wall to wall = who owns each price: cyan rows buyers, red rows sellers, gold ring POC
⚡ ▲ T / ▼ T chips = the trap just failed - the number is conviction: this chart's track record bent by balance, depth and fuel. Hover for the breakdown
⚡ ▲ R / ▼ R chips = decisive reclaims of the line, same conviction engine
⚡ Dashboard: gauges, regime, FILTERS row, FLOW HEAT row, DATABASE row (trap and reclaim rates separately), streak dots
⚡ HOW TO USE ⚡
⚡ Drop it on any liquid symbol, 5m to 4H - tuned defaults for XAUUSD 15m
⚡ Let it run. The database is empty at first - conviction runs on structure alone until the buckets earn their samples
⚡ Compare buckets: if shallow traps earn 70% and deep ones earn 40%, you know exactly which pokes to take
⚡ Wire one alert when you're ready to automate
✨ LIMITATIONS ✨
⚡ Conviction starts from this chart's own history, bucketed - a sample, not a promise. Small samples lie confidently; the hover tells you when a bucket is young
⚡ The database resets when you change symbols, timeframes, or core settings - every context earns its own track record
⚡ Traps fade extensions - in a runaway trend, the outer wall keeps getting hit and the trap window is the honest filter
⚡ On symbols without volume data, the line falls back to midpoint and sigma to range/4
✨ CREDITS ✨
Kinetic fuel concept inspired by "Kinetic Momentum Vectors" by BigBeluga (CC BY-NC-SA 4.0). Concept only and Null Range's fuel is re-engineered from zero: volume times speed, burning off our own volume-channel walls. No code or geometry shared with the original.
Rift maps WHERE the volume traded. Null Range knows WHERE THE VOLUME NETS TO NOTHING - and what fading the void has been worth.
Educational shell. Not financial advice. Not a signal service. Indicator
NIMBUS [ThrowMaster]NIMBUS — Ichimoku, Reimagined
Classic Ichimoku is brilliant at one question: "Where is the market right now — above, below, or inside equilibrium?" It is far weaker at a second question every trader actually asks: "What is the market about to do?" NIMBUS keeps the timeless Ichimoku framework intact and adds three dimensions built to close that gap — while staying, above all, honest about what it is: a context compass, not a signal service.
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WHAT NIMBUS ADDS
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⭐ Kumo Calendar — Twist Countdown
Here is a fact most traders overlook: the cloud in front of price is already fully drawn. It is built entirely from bars that have ALREADY closed, then shifted forward. That means the next Kumo twist — the moment Senkou Span A and B swap places — is knowable in advance. NIMBUS scans the forward cloud and counts the exact number of bars until that twist reaches price, and warns you when a thin (weak-support) section is approaching. Ichimoku's most-criticised trait, its lag, becomes a schedule you can read ahead of time.
🩵 Breath — Volume-Reactive Cloud
A traditional cloud shows only price geometry; two identical-looking clouds can hide wildly different conviction. NIMBUS makes the cloud breathe: it grows more solid on high-participation bars and fainter on quiet ones, using a rolling volume percentile. Strength becomes something you feel at a glance, not something you have to calculate. (If a symbol reports no volume, the cloud simply falls back to a fixed opacity — no errors, no false readings.)
🎯 Tenkan / Kijun Cross Clarity
The Tenkan–Kijun cross is one of Ichimoku's core events, yet on most charts it hides in a tangle of lines. NIMBUS marks it precisely: a teal circle at the exact price and bar of a bullish cross, coral for bearish. No hunting, no guessing.
◈ Alignment Hints
When four independent Ichimoku dimensions agree — price vs cloud, Tenkan vs Kijun, cloud colour, and the lagging read — AND price reclaims or loses the cloud on a confirmed bar, NIMBUS prints a small diamond. Think of it as a puzzle-game hint: a nudge to look at the right place at the right time. It is deliberately NOT a buy or sell command, and it never gives a target.
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HOW IT WORKS
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NIMBUS uses the standard Ichimoku engine — Tenkan (9), Kijun (26), Senkou Span A/B, and the lagging span, all fully adjustable. "Price vs cloud" always compares price to the cloud value formed 25 bars ago — the cloud actually sitting beneath price — so the reading reflects real, settled structure. The Breath layer reads a 100-bar volume percentile. The Twist Countdown walks the already-shifted forward cloud bar by bar. The dashboard summarises everything in one compact, theme-aware panel with a mobile Compact Mode.
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HOW TO USE
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• Read the cloud for trend context: above = bullish structure, below = bearish, inside = balance/chop.
• Watch the Twist Countdown to anticipate when the cloud's support/resistance character is about to flip — useful for planning, not for firing blind.
• Let Breath tell you whether a move carries participation or is running on fumes.
• Treat Hints as a reason to zoom in and do your own analysis, never as an instruction.
• Combine with your own risk management. NIMBUS describes context; your plan decides the trade.
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ON REPAINTING (honest)
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Once a bar closes, every Tenkan/Kijun/Span value is fixed and never redrawn. Hints and cross circles are all confirmed on bar close, so a printed mark cannot later disappear. The forward cloud is built only from closed bars, so it is fixed the moment it appears. Like all Ichimoku tools, values on the CURRENT, still-forming bar update in real time until that bar closes — this is inherent to the framework, not hidden repainting, and it is documented directly in the code comments.
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WHAT MAKES IT ORIGINAL
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NIMBUS is not another line pack bolted onto Ichimoku. The Kumo Calendar reframes the forward cloud as a countdown rather than a static shape; Breath encodes participation into the cloud's opacity; and the whole tool is presented as an explicit, self-aware CONTEXT instrument — it tells you what the market is, and refuses to pretend it knows your trade. The code is fully open for you to read, study, and learn from.
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NOTE
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No indicator predicts the future or guarantees results, and NIMBUS makes no such claim. It is a decision-support and context tool. Markets involve risk; always use independent judgement and sound risk management. Not financial advice.
Indicator
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 PulseWire 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.
Indicator
Indicator
Indicator
Premium & Discount Matrix1. Dynamic Intraday Dealing Range
The core of the PD Matrix is the "dealing range." The script calculates this by finding the absolute highest high and lowest low of the current daily session:
It automatically detects when a new day begins.
As the day progresses and price creates new highs or lows, the script dynamically updates the top and bottom boundaries in real-time.
2. Matrix Box & Equilibrium
Once the dealing range is established, it draws the matrix components:
The Box: It draws a single, fully transparent rectangle around the entire daily range. The background is completely clear so it doesn't obstruct your candlesticks, and only the outer border is visible.
Equilibrium (50%): It automatically calculates the exact mathematical midpoint of the daily high and low. It then draws a dashed line straight through the middle of the box to represent the 50% Equilibrium level.
3. Smart Market Labeling
To make the zones instantly readable, the script places three floating text labels neatly to the right of your current live candle. These labels move with the price action:
Premium (Red): Positioned in the upper half (above 50%). According to ICT concepts, this is expensive pricing where institutional algorithms seek to distribute (sell short).
Eq (50%) (Gray): Points directly to the dashed equilibrium line, representing fair value.
Discount (Green): Positioned in the lower half (below 50%). This is cheap pricing where institutional algorithms seek to accumulate (buy long).
4. Customization & Performance
Like the previous script, this is highly optimized for PulseWire. It uses a single dynamic box, a single line, and three labels that constantly update on the very last bar, preventing your chart from being cluttered with hundreds of historical drawings.
You can fully customize the colors of the box border, the equilibrium line, and all three text labels directly from the indicator settings! Indicator
Dynamic Gravity Attractor (DGA) [MarkitTick]💡 An advanced technical indicator designed to identify, weight, and visualize significant price zones using a physics-inspired gravitational model. By treating historical price pivots as physical masses that exert gravitational pull on the current price, this tool dynamically highlights levels of high structural importance. This offers traders a unique, quantitative perspective on support, resistance, and the overarching market equilibrium based on continuous volume and touch data.
✨ Originality and Utility
Unlike standard static support and resistance indicators that simply draw horizontal lines at arbitrary swing highs and lows, this system introduces a dynamic, weighted engine based on volume execution and touch frequency.
Traditional indicators often clutter the chart with dozens of obsolete lines. This tool resolves the issue by clustering proximate price levels using an Average True Range based spatial resolution. This synthesizes fragmented levels into cohesive, highly actionable Gravity Zones.
The core utility lies in its ability to quantify the relative strength of these zones using a gravitational constant. Instead of merely sorting by recency, it sorts by actual structural pull. This allows traders to cleanly distinguish between minor intraday speed bumps and major macroeconomic price attractors that have a high probability of influencing future price routing.
🔬 Methodology and Concepts
The script operates on a robust foundation of interconnected logical pillars, ensuring a precise reading of historical market structure:
• Pivot Detection and Clustering: The indicator identifies standard non-repainting pivot highs and lows using a defined lookback window. Instead of plotting each pivot individually and causing chart noise, it evaluates if a new pivot falls within an existing cluster radius. This radius is dynamically determined by a user-defined percentage of the 14-period Average True Range. If a match is found, the cluster aggregate price, volume, and touch count are updated using a volume-weighted average formula.
• Mass Calculation: Each clustered zone is assigned a quantitative mass. This mass is a blended metric derived from the total trading volume transacted at that specific level and the frequency of price touches it has endured. Users can dynamically adjust the weighting of these two components to favor volume-heavy execution levels or frequently tested psychological levels.
• Gravitational Pull: Applying a concept directly akin to classical physics, the indicator calculates the gravitational force of each active zone relative to the current closing price. The formula incorporates the zone calculated mass, a user-defined Gravitational Constant, and the inverse square of the absolute distance between the zone and the current price.
• Net Force and Equilibrium: By aggregating the gravitational pull of all active zones above the current price and subtracting the zones below, the script calculates a continuous Live Net Force. This net force dictates the overall directional bias of the underlying market structure.
🎨 Visual Guide
The tool provides a rich, multi-layered visual experience, utilizing dark-mode optimized palettes to allow traders to interpret complex market structures at a rapid glance:
• Gravity Zone Lines: Horizontal lines representing the clustered price levels. The strongest mathematical attractor is plotted with a solid line, while weaker zones use dashed line styles to indicate secondary importance. The thickness of the line directly correlates with its top-ranking status.
• Zone Colors: Levels situated above the current price are colored in a visual gradient from vibrant purple to deep violet, representing resistance or overhead gravity. Levels situated below are colored in a gradient from yellow to dark orange, representing support or underlying gravity. The color intensity and opacity scale dynamically with the calculated mass of each zone.
• Gravity Fields (Halos): Semi-transparent background boxes surrounding the strongest top-ranked gravity zones. The vertical height of the box represents the zone mathematical sphere of influence, calculated using the true range and the zone specific mass.
• Gravity Center: A distinct dotted cyan line plotting the weighted center-of-mass between the strongest overhead attractor and the strongest underlying attractor. This acts as the market current fulcrum.
• Dynamic Labels: Textual tags attached to the right of the gravity lines. These indicate the exact price level, an arrow denoting if the force is pushing up or down, and a percentage representing its gravitational strength relative to the maximum active zone.
• Heatmap Candles: The main chart candles are recolored based on the Live Net Force. A bullish bias paints the candles in a specific underlying color, while a bearish bias paints them in an overhead color. Border and wick colors adapt similarly to show micro-shifts in pressure.
• Gravity Dashboard: A comprehensive on-chart data table displaying the active number of tracked levels, the exact prices of the top upper and lower attractors, the Net Force bias, the current cluster size, and a visual block-bar representation of the highest active mass percentage.
📖 How to Use
• Trend Identification: Observe the Heatmap Candles and the Net Force metric on the Gravity Dashboard. A sustained bullish color bias suggests the price is being pulled upward by a stronger overhead attractor or violently pushed from a massive underlying support base. Traders should look to align their directional trades with this dominant net force.
• Targeting and Exits: Use the strongest Gravity Zone Lines as primary profit targets or areas to scale out of positions. Because these zones possess high mass, price tends to inevitably gravitate toward them over time.
• Entry Confirmation: Wait for the price to enter a Gravity Field. If price action demonstrates rejection patterns, long wicks, or volume anomalies within these specific halo zones, it provides a high-probability entry for mean-reversion trades.
• Equilibrium Trading: The Gravity Center line represents a literal point of balance between the primary opposing structural forces. Observing the price crossing, retesting, and holding this level can indicate a fundamental shift in structural control from sellers to buyers, or vice versa.
• Automated Alerts: The script includes built-in alert conditions for when the price comes within a tight proximity to the strongest above or below zones. It also fires alerts when the overall Net Force shifts direction. All alerts and webhooks are constructed as strictly formatted JSON strings designed for flawless third-party execution, dynamically calculating and including the Entry Price, the precise Take Profit target, and the exact Stop Loss invalidation price.
⚙️ Inputs and Settings
• History Depth (bars): Determines how far back in time the script looks to evaluate active pivots. A higher number tracks long-term macro zones, while a lower number focuses on immediate intraday structure.
• Number of Gravity Zones: Limits the maximum number of attractor lines drawn on the chart to prevent visual clutter.
• Level Cluster Resolution (ATR%): Controls how closely pivots must be to merge into a single, heavier zone. A higher value aggregates more historical levels together, creating fewer but stronger zones.
• Gravitational Constant G: A mathematical multiplier that scales the overall gravity calculations. Adjusting this tweaks the sensitivity of the Net Force output.
• Mass Components (Volume & Touch Weight): Fractional sliders allowing the user to adjust whether a zone mass is more heavily derived from transacted volume or the sheer number of times the price has historically tested the level.
• Minimum Touch Count: The baseline number of times a price level must be tested before it is officially registered as having enough mass to generate gravity.
• Visual Settings: Comprehensive toggles to independently turn lines, text labels, halo fields, the dashboard table, and center-of-gravity boxes on or off according to individual visual preference and chart cleanliness. All colors are fully user-configurable without hardcoding.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The tool borrows directly from classical mechanics, specifically the law of universal gravitation, to mathematically model financial market microstructure. In standard physics, the attractive force of gravity between two independent objects is directly proportional to the product of their masses and inversely proportional to the square of the distance between their centers.
In the context of this script, the current market closing price acts as a dynamic point mass navigating a static field of larger, stationary masses, representing the historical support and resistance clusters. The script operationalizes this concept by calculating Mass as a composite statistical index of cumulative trading volume and historical test frequency. Volume acts as the density of the price level, representing committed capital and trapped liquidity, while touch frequency represents the psychological reinforcement and memory of the level among market participants.
By rigidly utilizing the inverse square law of distance, the indicator mathematically guarantees that nearby price levels exert exponentially more influence on current price action than distant levels. This accurately reflects the highly localized nature of market liquidity, order book depth, and slippage. Furthermore, the clustering algorithm employs a dynamic threshold based on Average True Range, introducing a volatility-normalized spatial resolution. This specific mechanism ensures that the radius of a mass point expands in highly volatile environments and contracts in tight consolidations, strictly adhering to established principles of adaptive signal processing, robust statistical smoothing, and dynamic time warping.
⚠️ 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. Indicator
FVG + HTF Equilibrium (True Mitigation V14.2)FVG + HTF Equilibrium (True Mitigation V14.2)
อินดิเคเตอร์บอก แนวแท่งคู่(ราคาปิดแท่ง และราคาเปิดของแท่งถัดไป ราคาใกล้เคียงกัน) และ FVG
2 กลไกหลักขับเคลื่อนระบบ
1. Fair Value Gaps (FVG) – โซนความไม่สมดุลของราคา
Bullish FVG (กล่องสี Teal): โซนแรงซื้อรุนแรง ราคาเกิดช่องว่าง (Imbalance) มักลงมาทดสอบแล้วเด้งขึ้นต่อ
Bearish FVG (กล่องสีชมพู/ม่วง): โซนแรงขายรุนแรง มักรีบาวด์ขึ้นมาทดสอบแล้วร่วงต่อ
Dynamic Resizing: กล่องจะหดตัวลงตามจริงเมื่อราคาเข้าถม (Filled) และจะลบออกทันทีหากราคาปิดทะลุโซน
2. HTF Equilibrium – แนวรับ-แนวต้านแท่งคู่
Concept: ระบบดึงข้อมูลข้ามไทม์เฟรม (5m, 15m, 30m, 1h, 4h, 1D) ตรวจจับแท่งเทียนคู่ขัดแย้งในอดีต (เช่น เขียวเต็มแล้วแดงทุบสวนทันที) ณ ระดับราคาที่มีคำสั่งซื้อขายหนาแน่น
True Mitigation 100%:
- ฝั่งไทม์เฟรมใหญ่ (HTF) จะสกรีนตัวเองก่อน หากแนวราคาเคยโดนเคลียร์ไปแล้ว จะไม่สร้างเส้นเด็ดขาด
- เส้นประที่ปรากฏบนจอ หากราคาปัจจุบันใน m1 วิ่งมาชนหรือสะบัดไส้โดน เส้นจะถูกลบทำลายทิ้งทันทีเรียลไทม์ (บนชาร์ตจะเหลือเฉพาะแนวสดใหม่ที่ยังไม่เคยโดนทดสอบเท่านั้น)
FVG + HTF Equilibrium (True Mitigation V14.2)
This indicator identifies paired-candle levels (where a candle’s close and the next candle’s open are at nearly the same price) and FVGs.
Two Core Mechanisms Driving the System
1. Fair Value Gaps (FVG) – Price Imbalance Zones
- Bullish FVG (Teal Box):** A zone of strong buying pressure where a price gap (imbalance) forms. Price often retraces to test the zone before continuing upward.
- Bearish FVG (Pink/Purple Box):** A zone of strong selling pressure. Price often rebounds into the zone for a retest before continuing downward.
- **Dynamic Resizing:** The box automatically shrinks as price fills the gap and is removed immediately if a candle closes beyond the zone.
2. HTF Equilibrium – Paired-Candle Support & Resistance
Concept:The system pulls data from higher timeframes (5m, 15m, 30m, 1h, 4h, 1D) and detects historical opposing candle pairs (e.g., a strong bullish candle immediately followed by a strong bearish candle) at price levels with concentrated buy/sell orders.
True Mitigation 100%:
- Higher timeframes (HTF) perform self-screening first. If a price level has already been mitigated, the system will not create that level under any circumstances.
- Any dashed line displayed on the chart will be removed instantly in real time if current M1 price touches it or even wicks into it. As a result, only fresh, untested levels remain visible on the chart.
Indicator
[Viprasol] Equilibrium Confluence EngineOverview
The Viprasol Equilibrium Confluence Engine is an original indicator that requires five independent, well-known trading conditions to agree before it prints a signal: an EMA trend filter, Fibonacci premium/discount location, a market-structure shift (CHoCH), a liquidity sweep, and a Fair Value Gap. Each of these concepts answers a different question about a trade — direction, location, structure, intent, and imbalance — and the engine only confirms when all of the enabled conditions line up on the same side within a configurable window. The on-chart panels (HOW IT WORKS legend, a live confluence checklist, and a strategy summary) make the logic self-explanatory directly on the chart.
It is built for traders who want a single, transparent confluence check instead of running five separate indicators and eyeballing whether they agree.
Why These Components Belong Together (Mashup Justification)
Each layer covers a dimension the others cannot, which is the reason they are combined rather than used alone:
- The EMA trend filter answers "which direction?" but says nothing about where to enter.
- Fibonacci equilibrium answers "is price cheap or expensive within the range?" but not whether momentum agrees.
- Market structure (CHoCH) answers "has the prevailing structure actually shifted?" but a shift alone can be a trap.
- The liquidity sweep answers "did price take liquidity before moving?" — the footprint that often precedes a real move — but needs direction and location to be actionable.
- The Fair Value Gap answers "is there an institutional imbalance for price to react to?" but an FVG in the wrong location or against the trend is low quality.
Used together, a signal only appears when momentum, location, structure, intent, and imbalance all point the same way — the combination is the point, not any single piece.
How It Works
1. EMA Trend Filter:
Two EMAs (default 9 and 15). The trend is bullish when the fast EMA is above the slow EMA and bearish when below. BUY confluence requires bullish trend; SELL requires bearish.
2. Fibonacci Equilibrium (dealing range):
The most recent confirmed swing high and swing low (from pivots of the swing length) define a dealing range. The 0.5 level is equilibrium; 0.236 and 0.786 are also drawn. Below 0.5 is the Discount zone (a relatively cheap "buy area"); above 0.5 is the Premium zone ("sell area"). BUY confluence requires price in discount; SELL requires premium. The range, levels, and zones are shaded and labeled with live prices.
3. Market Structure — CHoCH / BOS:
Swing highs and lows are tracked. When price closes through the prior swing high while structure was not already bullish, a bullish Change of Character (CHoCH) is marked; closing through the prior swing low while not already bearish marks a bearish CHoCH. Continuation breaks in the same direction are labeled BOS. BUY confluence requires a bullish CHoCH within the confluence window; SELL requires a bearish one.
4. Liquidity Sweep:
Sell-side liquidity is considered swept when a bar wicks below a prior swing low but closes back above it (stops taken, price rejected) — a bullish footprint. Buy-side liquidity is swept when a bar wicks above a prior swing high and closes back below — a bearish footprint. BUY confluence requires a recent bullish sweep; SELL a bearish one.
5. Fair Value Gap (FVG):
A bullish FVG is a 3-candle imbalance where the current low is above the high two bars back (low > high ); a bearish FVG is where the current high is below the low two bars back (high < low ). The gap is boxed and tracked. BUY confluence requires price inside a bullish FVG or a recent bullish FVG within the window; SELL the bearish equivalent.
Confluence Engine:
Each condition can be individually included or excluded. CHoCH, sweep, and FVG are event-based, so they remain "active" for a configurable Confluence Window (default 15 bars) using barssince, allowing the five conditions to line up even if they did not occur on the exact same bar. A confirmed BUY fires on the first bar all enabled BUY conditions are simultaneously true (and a SELL for the bear side), gated by a cooldown to prevent repeats. The dashboard shows a live BUY/SELL score out of 5, and the checklist panel shows exactly which conditions are met.
Risk Overlay:
On a confirmed signal, the engine projects Entry (signal close), Stop-Loss (beyond the relevant swing extreme plus an ATR buffer), and Take-Profit (Entry ± risk × Risk:Reward), with colored ENTRY/SL/TP price labels. Only the latest signal's projection is kept.
Key Features
- Five-factor confluence: EMA trend, Fib equilibrium, CHoCH structure, liquidity sweep, FVG
- Each factor independently toggleable in/out of the confluence
- Configurable confluence window so event-based factors can align
- Live BUY/SELL confluence score (x/5) and a tick/cross checklist panel
- Auto dealing range with 0 / 0.236 / 0.5 / 0.786 / 1 levels and shaded premium/discount zones
- CHoCH / BOS and liquidity-sweep labels
- FVG zone boxes that track until filled
- Entry/SL/TP risk overlay with price labels
- On-chart HOW IT WORKS legend and STRATEGY SUMMARY footer
- Signal cooldown to prevent clustering
- Seven alert conditions with dynamic {{ticker}}/{{close}}/{{interval}} messages
How to Use
Getting Started:
1. Add to a standard candlestick chart (not Heikin Ashi).
2. Read the HOW IT WORKS panel (left) and the live confluence checklist (right).
3. A BUY/SELL label prints only when every enabled condition is aligned; Entry/SL/TP project from it.
Tuning Confluence:
- For more signals, turn off one or two of the stricter conditions (e.g. FVG) or widen the Confluence Window.
- For higher conviction, keep all five on and shorten the window so conditions must be tightly clustered.
Recommended Starting Points:
- Intraday (5m-15m): Swing Length 10-12, Confluence Window 12-15, Cooldown 8
- Swing (1H-4H): Swing Length 15-20, Confluence Window 20, Cooldown 12
- Looser entries: disable FVG and/or Liquidity, keep Trend + Equilibrium + CHoCH
These are starting points only — every market and timeframe behaves differently. Backtest and adjust before trading live.
Settings
1 EMA Trend Filter: fast EMA, slow EMA, include-in-confluence toggle.
2 Fibonacci Equilibrium: swing pivot length, use discount/premium toggle, show range & levels, shade zones.
3 Market Structure: use CHoCH toggle, show CHoCH/BOS labels.
4 Liquidity Sweep: use sweep toggle, show sweep labels.
5 Fair Value Gap: use FVG toggle, show FVG zones.
Confluence Engine: confluence window (bars), signal cooldown.
Risk Overlay: show Entry/SL/TP, show price labels, ATR period, SL ATR buffer, Risk:Reward.
Visuals: show EMA lines, bull/bear colors.
On-Chart Panels: toggles for HOW IT WORKS, confluence checklist, strategy summary.
Dashboard: live dashboard toggle and position.
Alerts
1. Confirmed BUY — all enabled bullish conditions aligned
2. Confirmed SELL — all enabled bearish conditions aligned
3. Any Signal — either direction confirmed
4. Bullish CHoCH — a bullish change of character occurred
5. Bearish CHoCH — a bearish change of character occurred
6. Bullish Liquidity Sweep — sell-side liquidity was swept
7. Bearish Liquidity Sweep — buy-side liquidity was swept
All alerts include {{ticker}}, {{close}}, and {{interval}} for dynamic notification messages.
Limitations & Disclaimer
- Swing-based features (range, structure, liquidity) depend on confirmed pivots, which lag by the swing length; very recent swings are not yet confirmed.
- The dealing range uses the latest confirmed swing high and low; in strong one-directional moves the range can become stale until a new swing forms.
- CHoCH detection here uses closing breaks of the last swing; it is a practical approximation of the structure concept, not a full multi-leg structure model.
- FVG detection is the standard 3-candle definition and tracks only the most recent gap per direction for confluence.
- The confluence window means conditions need not occur on the same bar; widening it loosens signal quality, narrowing it tightens it — there is no single correct value.
- Entry/SL/TP lines are visual references only and do not place or manage trades.
- Past performance does not guarantee future results. This indicator is for educational and analytical purposes only and is not financial advice. Always use proper risk management and test on historical data before trading live.
Credits & Attribution
This is an original Viprasol indicator. It is built on standard, public-domain trading concepts — exponential moving averages, Fibonacci retracement / premium-discount equilibrium, market-structure Change of Character and Break of Structure, liquidity sweeps, and Fair Value Gaps (widely used ICT / Smart Money concepts) — implemented from scratch and combined into a single multi-factor confluence engine with a scoring system, configurable confluence window, risk overlay, and self-explaining on-chart panels. No third-party source code was reused.
Published open-source per PulseWire House Rules.
Indicator
Adaptive Ichimoku Equilibrium ChannelADAPTIVE ICHIMOKU EQUILIBRIUM CHANNEL
WHAT IT IS
A modern, single-engine extension of Ichimoku Kinko Hyo. Ichimoku's core insight is that its lines are not moving averages but EQUILIBRIUM midpoints — the centre of the recent high/low range — and that it projects that equilibrium forward as a cloud. This script keeps that DNA and rebuilds it as one adaptive object: the equilibrium adapts to trend efficiency, the channel width breathes with volatility, volume confirms or warns, momentum and breakouts flag turns, equal-high/low liquidity pools become structural targets, the cloud trend is read across four timeframes, and a past-only calibration attaches an honest hit-rate to the signals. A plain-language verdict makes it readable at a glance; an Advanced view exposes the full engine.
It is a single indicator, not a pack. Everything plots in one pane on the price chart.
WHY THESE COMPONENTS ARE COMBINED (mashup justification)
Each layer answers a different question a trend trader must answer at the same moment, and all of them share — and reinforce — the same equilibrium spine, which is why they are fused into one engine rather than left as separate studies that would each repaint the chart and never reference each other:
- EQUILIBRIUM SPINE. Fast and slow range-midpoints (the Ichimoku Tenkan/Kijun idea) blended by an efficiency ratio, so the spine tracks quickly in clean trends and slowly in chop. This is "fair value", and every other layer is measured relative to it.
- KUMO CLOUD + MULTI-TIMEFRAME TREND. The forward-displaced cloud shows trend at a glance. The same cloud trend is then sampled at 1x, 3x, 5x and 15x the chart timeframe and shown as four colour-coded cells, so higher-timeframe alignment is visible without switching charts. Alignment across the four is stronger context; conflict is a caution.
- ADAPTIVE WIDTH / PREMIUM-DISCOUNT. The dealing range around the spine expands when volatility expands and contracts when it compresses (width is ATR-based). This makes "discount" (lower half) and "premium" (upper half) mean the same thing across assets and regimes — a fixed-width channel cannot.
- VOLUME CONFIRMATION. Volume-weighted price versus its simple average shows whether volume agrees with the trend; a volume surge flags conviction. This closes the blind spot of a price-only channel. On instruments that report no volume, volume can be borrowed from a chosen proxy symbol.
- DISTANCE-FROM-EQUILIBRIUM DIVERGENCE. Ichimoku has no native oscillator, so momentum here is reconstructed as price's distance FROM the equilibrium spine: when price makes a higher high that is LESS extended from the spine than the previous high (or a lower low that is less extended), momentum is waning and a divergence is flagged at the extreme — exactly where reversals begin.
- VALIDATED BREAKOUTS. A break of a channel rail is only marked when it is confirmed by displacement beyond the rail, a dominant candle body, above-average volume, and a close that holds beyond the rail (anti-wick). This filters out the wick-pokes that fake breakouts on a naive channel.
- LIQUIDITY POOLS. Clusters of equal highs and equal lows are where stop orders rest. The script tracks the nearest unswept pool above and below price and lets trade targets snap to them, so objectives are structural rather than arbitrary.
- FUTURE BIAS + CALIBRATION. Trend, zone, slope, volume and breakouts are fused into a continuation-versus-reversion probability. Separately, the channel setups and the zone signals each carry a PAST-ONLY forward hit-rate, reported with a Wilson 95% confidence interval, measured on the current symbol.
In short: equilibrium without width gives no zones; width without volume or structure is blind; and neither tells you what is statistically likely next or whether the same setup has worked before on this symbol. Because each piece needs the others to be useful, they are one object.
HOW IT WORKS TOGETHER (reading the chart)
1. The trend-coloured band and its midline are the trend: green up, red down, gold/grey when there is no clear trend. The midline holds its colour until the trend actually reverses, so it does not flicker in chop.
2. Within the band, the lower (discount) half is where to look to engage with an uptrend; the upper (premium) half is extended. A downtrend mirrors this.
3. The short coloured level on the right is the invalidation: the current trend read fails on a close beyond it.
4. The dashboard's Ichimoku row shows the cloud trend on 1x/3x/5x/15x. The Higher-TF row tells you whether trades are permitted (setups are taken only in the higher timeframe's direction).
5. An orange "Div" marker warns of waning momentum at an extreme. A "Break" diamond marks a validated breakout. Cyan EQH/EQL lines are the nearest liquidity pools and act as targets.
6. The verdict box states the trend, where price sits, and the conviction in words. The Advanced view adds the calibrated win-rates, volume read, channel state and any optional inter-market context.
HOW TO USE IT
- Apply to any symbol and timeframe. Read the band colour for trend, the half for location, and the verdict box for the plain-language summary.
- Use the Ichimoku multi-timeframe row to gauge whether the higher timeframes agree before acting on a lower-timeframe signal.
- On-chart markers, from most to least prominent: LONG / SHORT label badges are full trade setups (entry, stop and target); Buy / Sell triangles mark price entering the discount/premium zone; the tiny orange "Div" warns of waning momentum at an extreme; the tiny "Break" diamond marks a validated breakout; cyan EQH/EQL lines are the nearest liquidity-pool targets.
- Treat all markers as context, and check their past-only win-rates in the Advanced view before relying on them.
- This is analysis context for your own decision, not a signal to act on blindly. It places no orders.
ORIGINALITY (versus standard Ichimoku)
Standard Ichimoku is a fixed-length, price-only, single-timeframe tool with no volume, no momentum oscillator, no breakout validation, no targets, and no measure of whether it has worked. This script makes the equilibrium adaptive, makes the width volatility-driven, reconstructs momentum as distance-from-equilibrium, validates breakouts against wicks, turns equal-high/low liquidity into targets, shows the cloud trend across four timeframes, adds volume confirmation, and attaches a past-only calibrated hit-rate to its signals. None of that is provided by classic Ichimoku.
UNIVERSAL DATA (works on any market)
The price source is selectable in Settings (default close; choose hl2, hlc3, or any series), every threshold is ATR-relative, and volume can be borrowed from a proxy symbol for instruments that report none — so the script runs on stocks, futures, FX, crypto and indices without re-tuning. Two optional refinements are off by default and never shown on the simple face: a spot symbol (futures-vs-spot basis) and a volatility index (e.g. VIX / India VIX), which feed conviction and channel width when supplied. The entire display — dashboard, bands, lines, labels and markers — adapts to your chart background automatically (Auto theme), or can be forced to Dark or Light, so it stays readable on any background.
SETTINGS OVERVIEW
Data source (price source, optional borrowed-volume symbol); Equilibrium (Tenkan/Kijun lengths, adaptive blend); Adaptive width; Regime (efficiency, ADX, slope); Inter-market refinement (optional); Multi-timeframe trade filter; Calibration horizon and follow-through; Trades; Breakout validation thresholds; Liquidity tolerance; and Visuals (theme, zones, signals, divergence, liquidity, multi-timeframe levels, dashboard position).
LIMITATIONS
The forward cloud is a PROJECTION of the current equilibrium, not a forecast. Calibration and hit-rates describe PAST behaviour only on the current symbol and are not predictive. Borrowed volume, futures-vs-spot basis and volatility-index refinement are approximations. Everything here is probabilistic context, not certainty.
DISCLAIMER
This is a study/indicator for chart analysis and education only. It is not a strategy, not a recommendation, and not financial advice. It places no orders and guarantees no outcome. Markets carry risk; do your own research and manage your own risk.
Indicator
ICT PD Arrays [LunqFX] FVG, Displacement & Smart Money ZonesICT PD Arrays is a complete Smart Money Concepts toolkit built on the Inner
Circle Trader (ICT) methodology. It maps the full Price Delivery Array —
7 interconnected modules working together to identify where institutions
accumulate and distribute positions across any liquid market.
█ WHAT IT DOES
Most ICT indicators cover one concept in isolation — a Fair Value Gap, or
just Premium/Discount zones. This script combines all core PD Array
components into one cohesive system and ties them together with an ISD
state machine and a live HUD dashboard that shows full market context
at a glance.
Seven modules run simultaneously on every bar:
Fair Value Gaps (FVG) + Inversion FVG + Balanced Price Range (BPR)
Premium / Discount Zones + OTE Fibonacci Zones + Equilibrium Line
Displacement Detection with ATR and Volume confirmation
Inducement (IDM) — false breakout / liquidity trap detection
ISD Sequence state machine (Inducement → Sweep → Displacement)
Killzones — London, New York, Asian, Silver Bullet sessions
Live HUD Dashboard — all signals aggregated in real time
█ HOW IT DOES IT
FAIR VALUE GAPS
A Fair Value Gap is a 3-candle price imbalance where the gap between
candle 1's extreme and candle 3's extreme was never traded. Institutions
use these gaps as re-entry points — price gravitates back to fill them.
Detection uses a confirmed 3-candle structure with a bar offset so
the current live bar never creates a new FVG. No repainting.
An ATR(14)-based minimum size filter removes micro-gaps that carry no
significance. Raise the multiplier to see only strong imbalances.
Mitigation is tracked in real time. Once price crosses the CE midpoint
(Consequent Encroachment — the 50% level of the gap), the box fades.
When price fully passes through a gap it automatically converts to an
Inversion FVG (IFVG) — former support becomes resistance, box recolors.
Balanced Price Range (BPR) detects spatial overlap between the most
recent bullish FVG and bearish FVG. The overlap zone is where both
buyer and seller imbalances exist at the same price — the strongest
equilibrium area on the chart.
PREMIUM / DISCOUNT ZONES + OTE
ICT divides any dealing range into two halves: Premium (above 50%) where
institutions sell, and Discount (below 50%) where institutions buy.
Swing highs and lows are detected via pivot logic with a configurable
lookback. The range between the last confirmed pivot high and pivot low
becomes the active dealing range.
Two OTE zones are drawn using Fibonacci retracement logic:
OTE Buy zone — 21.4% to 38.2% from the low
= 61.8%–78.6% retracement FROM the swing high
= deepest discount, highest-probability long area
OTE Sell zone — 61.8% to 78.6% from the low
= deepest premium, highest-probability short area
Math:
OTE Buy Top = SwingLow + Range x 0.382
OTE Buy Bot = SwingLow + Range x 0.214
OTE Sell Top = SwingLow + Range x 0.786
OTE Sell Bot = SwingLow + Range x 0.618
Zones update automatically when new pivots are confirmed.
DISPLACEMENT
Displacement is not simply a large candle. In ICT theory it marks a
genuine shift of institutional order flow — it must show conviction.
Three conditions must all be satisfied simultaneously:
Body >= ATR(14) x multiplier (default 2.0)
Filters out average volatility, keeps only significant momentum.
Wick-to-range ratio below threshold (default 30%)
A large wick relative to range signals indecision, not displacement.
Formula: (High - Close) / Range for bulls,
(Close - Low) / Range for bears.
Optional volume filter: Volume > SMA(20) x 1.5
Confirms institutional participation behind the move.
Disable for spot Forex where tick volume is unreliable.
Displacement candles are the primary FVG trigger — the gap left behind
a displacement candle is the highest-quality FVG to trade.
INDUCEMENT (IDM)
Inducement is how institutions engineer a false breakout to grab
retail stop-loss liquidity before reversing price the other way.
Detected when price temporarily sweeps beyond a recent swing high or
low and then closes back inside the range. An ATR-based wick filter
ensures only meaningful sweeps qualify — micro-breakouts are excluded.
Bear Trap: price sweeps below a recent low and closes above it.
Bull Trap: price sweeps above a recent high and closes below it.
A 25-bar cooldown prevents label flooding in trending conditions.
The signal still feeds the ISD state machine on every bar regardless.
ISD SEQUENCE STATE MACHINE
ISD stands for Inducement, Sweep, Displacement. This is the complete
3-step institutional setup that ICT traders look for before entering.
The module runs as a persistent state machine tracking progress
across bars in real time:
Score 1/3 — IDM confirmed. Liquidity has been grabbed.
Score 2/3 — A structural sweep of a 5-bar high or low confirmed.
Score 3/3 — A Displacement candle fires in the same direction.
Label appears on chart. State resets automatically.
A 50-bar timeout resets the sequence if no follow-through occurs,
preventing stale signals from contaminating new setups.
ISD 3/3 is the single highest-confidence signal in this indicator.
All three institutional steps have completed in the correct order.
Dashboard shows live progress: Score 0 to 3 with block indicators.
KILLZONES
ICT defines specific time windows where institutional order flow
is at its highest. The script highlights four of them:
London Open 02:00 - 05:00 New York time
New York Open 08:30 - 11:00 New York time
Asian Session 20:00 - 00:00 New York time
Silver Bullet 10:00 - 11:00 New York time
The Silver Bullet is a specific 1-hour ICT window occurring inside
the New York session — considered one of the highest-probability
entry windows in the entire ICT model.
Killzones are automatically hidden on timeframes 4H and above.
LIVE HUD DASHBOARD
A real-time panel in the bottom-left corner aggregates all modules:
Zone current price position (PREMIUM / DISCOUNT / EQ)
with gradient background that shifts green to red
EQ Level exact equilibrium price of the current dealing range
Bull FVG count of active non-inverted bullish gaps
Bear FVG count of active non-inverted bearish gaps
BPR whether a Balanced Price Range is currently active
Displace direction of the most recent displacement candle
IDM most recent trap type — Bear Trap / Bull Trap / None
ISD Score live block progress from 0/3 to 3/3
ATR (14) current ATR value
Timeframe active chart timeframe
█ HOW TO USE
Recommended workflow for intraday setups on 1m to 1H timeframes.
Step 1
Check the dashboard Zone. If PREMIUM, look for short setups only.
If DISCOUNT, look for long setups only. Never trade against the zone.
Step 2
Wait for an IDM label. This confirms retail stop-loss liquidity has
been swept in the direction you are looking to trade.
Step 3
Watch the ISD score reach 2/3 — a structural sweep is confirmed in
the same direction as the IDM.
Step 4
When a Displacement candle fires and ISD reaches 3/3, the complete
institutional sequence is confirmed. This is the entry trigger.
Step 5
Enter on a retest of the FVG left by the displacement candle.
For the highest-precision entry, wait for price to reach the OTE
zone within the FVG (61.8%–78.6% retracement level).
Step 6
Use Killzones to time entries. Highest-probability window is the
Silver Bullet (10:00–11:00 NY). London and NY Open are second.
For higher timeframe analysis on 4H and Daily: use Premium/Discount
zones and swing structure only. Ignore Killzones and FVG entries.
█ SETTINGS GUIDE
Fair Value Gaps
Min FVG Size (ATR mult) raise to filter weak gaps, 0 shows all
Max FVGs to Show limits drawn gaps, default 5
Show CE Midline shows the 50% Consequent Encroachment level
Show Inverted FVG recolors box when price passes through fully
Show BPR draws overlap zone between bull and bear FVGs
PD Arrays
Swing Detection Length longer lookback gives bigger dealing ranges
Show OTE Zones draws the Fibonacci entry zones
Show Equilibrium Line draws the 50% midpoint with price label
Displacement
Body Size (x ATR) momentum threshold, raise for stronger signals
Max Wick/Range Ratio lower value requires cleaner committed candles
Volume Filter disable for Forex, enable for stocks/futures
Inducement
IDM Lookback Bars how far back to find the reference high/low
Min Wick Size (x ATR) raise to filter micro false-breakouts
ISD Sequence
Min Score to Show Label set to 3 to see only complete 3/3 setups
Killzones
Each session can be toggled independently.
█ ALERTS
Bullish FVG Formed
Bearish FVG Formed
Bullish Displacement — check for FVG entry
Bearish Displacement — check for FVG entry
Full ISD Sequence (3/3) — high-probability setup complete
Bullish Inducement (IDM) — Bear Trap detected
Bearish Inducement (IDM) — Bull Trap detected
█ TECHNICAL NOTES
All ta.* function calls — ATR, SMA, pivot highs/lows, highest, lowest —
are executed unconditionally at the top script level in compliance with
the Pine Script v6 execution model. Never inside conditionals or
functions called conditionally.
FVG detection is locked to barstate.isconfirmed with a bar offset.
The current live bar never creates a new FVG box. No repainting.
The ISD state machine uses persistent var variables with inline
assignment in the main execution body. Pine v6 does not allow global
variable reassignment inside functions, so the state machine runs
directly in the main script scope with a 50-bar timeout guard.
█ DISCLAIMER
This indicator is provided for educational and informational purposes
only. It does not constitute financial advice or a recommendation to
buy or sell any financial instrument. Past performance of any trading
concept or signal is not indicative of future results. All trading
involves risk. You are solely responsible for your own trading decisions.
Always use proper risk management.
© LunqFX Indicator
Equilibrium Deviation Engine [LB]
Concept
The Equilibrium Deviation Engine is a session-resetting, volume-weighted equilibrium model that builds a dynamic fair value basis from accumulated price and volume since the last anchor point (daily by default). Around this basis, it constructs multiple deviation bands and an independent extreme contrarian channel whose width varies inversely with short-term volatility — expanding during quiet markets and contracting during turbulent ones.
Mathematical Foundation
At each new session (e.g., daily open), the engine resets three accumulators and recalculates them bar by bar :
PV = SUM(Price * Volume)
V = SUM(Volume)
P2V = SUM(Price^2 * Volume)
The equilibrium basis is the volume-weighted average price since reset :
Basis = PV / V
The standard deviation of price around this basis is derived from the variance :
Var = max( (P2V / V) - Basis^2 , 0 )
Dev = sqrt(Var)
Three main bands are then computed by applying adaptive multipliers to this deviation. The adaptation uses two independent weights :
TWAP Weight — compares the basis to a hidden TWAP. The larger the gap relative to the deviation, the more the bands widen, capturing potential mean-reversion targets.
HV Weight — compares current historical volatility (HV) to its own smoothed baseline. When HV expands, bands widen ; when HV contracts, bands narrow.
The final band width for level k is :
D_k = Dev * Mult_k * TWAP_Weight * HV_Weight
The Extreme Contrarian Channel
A separate channel is built using an inverse volatility weight. Instead of expanding with rising HV, it contracts :
InvWeight = clamp( 1 / (HV_contrarian / HV_contrarian_baseline) , min, max )
This creates a structural envelope that is widest during low-volatility regimes (where price tends to range) and tightens during high-volatility regimes (where price breaks through normal boundaries). The inner and outer levels use user-defined sigma multipliers.
What Problem Does It Solve ?
Traditional deviation bands (Bollinger, Keltner, VWAP bands) use fixed lookback windows and a single volatility metric. They do not reset at session boundaries, nor do they distinguish between different volatility regimes for mean-reversion versus breakout scenarios. The Equilibrium Deviation Engine solves this by :
- Resetting accumulators at each session (e.g., daily), producing a true volume-weighted equilibrium for the current period.
- Adapting band width to both the TWAP gap (directional drift) and HV regime (market excitement).
- Adding a separate contrarian channel using inverse volatility, specifically designed to identify exhaustion zones where low volatility precedes expansion, or where extreme HV signals climax conditions.
How To Interpret
Basis line (white) — the real-time volume-weighted fair value for the current session. Price above basis signals session bullishness ; price below signals session bearishness.
Deviation bands 1, 2, 3 — graduated zones of overextension from the basis. Price reaching Band 3 represents an extreme statistical deviation from the session's equilibrium, often preceding reversion.
Extreme contrarian channel — a separate envelope that behaves inversely to short-term HV. When this channel is wide (low HV, quiet market), price tends to oscillate within it, making the boundaries attractive mean-reversion levels. When the channel narrows sharply (high HV, excited market), it signals compression before a potential breakout.
Band expansion vs contraction — widening bands indicate increasing dispersion and adaptive uncertainty ; narrowing bands indicate consolidation and equilibrium tightening.
Parameters
LB Engine
Source — price field used for calculations (default HLC3).
Reset TF — timeframe at which accumulators reset (default Daily).
Hidden TWAP Length — period for the TWAP used in the TWAP gap weight.
Historical Volatility Length — period for HV calculation (main bands).
HV Smoothing — smoothing period for the HV baseline.
LB Bands
Deviation 1, 2, 3 — base multipliers for the three main deviation levels.
LB Contrarian Channel
Extreme Channel Inner/Outer — sigma multipliers for the contrarian channel.
Use Main HV Weight — applies the main HV weight to the contrarian channel.
Use Hidden TWAP Weight — applies the TWAP gap weight to the contrarian channel.
Contrarian Inverse HV Length — period for the HV used in the inverse weighting.
Contrarian Inverse HV Smooth — smoothing period for the contrarian HV baseline.
Contrarian Inverse HV Min/Max — clamping limits for the inverse weight.
LB Style
Show Basis, Show Main Fills, Color Bars — visual toggles.
Basis Width, Band Width, Extreme Channel Width — line thickness controls.
Reference
This indicator is a proprietary design by Luis Barlier. It synthesises concepts from session volume-weighted average price (VWAP), adaptive volatility bands, and inverse volatility regime detection. It does not correspond to a single academic publication. Indicator
Kinetic Inertia Field [JOAT]Kinetic Inertia Field
Introduction
Kinetic Inertia Field models price like a noisy particle using velocity, acceleration, jerk, kinetic energy, potential displacement, and equilibrium deviation.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Velocity and Acceleration
Log returns are normalized by volatility to create velocity, then differentiated into acceleration and jerk.
2. Kinetic Energy
Inverse volatility acts as a mass proxy and squared velocity creates energy context.
3. Equilibrium Displacement
A regression/VWAP blend creates a fair path and ATR-normalized displacement.
4. Inertia Field
Energy, acceleration, and displacement combine into inertial up, inertial down, or elastic state.
kineticEnergy = 0.5 * mass * velocity * velocity
Features
Velocity, acceleration, and jerk model
Kinetic and potential energy scoring
Regression/VWAP equilibrium
Energy rails and impulse trace
K+ and K- labels plus snapback markers
Input Parameters
Velocity smoothing
Volatility memory
Equilibrium horizon
Energy and inertia gates
Cooldown and display toggles
How to Use This Script
Use K+ and K- as confirmed high-energy state changes. Gold markers show elastic snapback conditions.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
KIF is original in applying kinetic energy, potential displacement, and inertia scoring to price-state analysis.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Session Liquidity Atlas [JOAT]Session Liquidity Atlas
Introduction
SLA Session Liquidity Atlas is an open-source session context indicator built to map the active trading session, opening range, prior-session liquidity, confirmed sweeps, and confirmed opening-range breaks in one clean overlay.
The problem it solves is session context. A breakout above the opening range means something different when the prior-session high was just swept, when the session range is compressed, or when price is still trapped inside the opening band. SLA organizes those reference points into a readable liquidity atlas with a top-right dashboard and restrained dark-mode chart shading.
Core Concepts
1. Active Session Range
The indicator tracks the selected session's open, high, low, close, bar count, and live range. The session band updates during the active window and freezes naturally when the session ends.
2. Opening Range
The opening range is built from the first configurable number of session minutes. Confirmed closes above or below the opening range define bullish or bearish break events.
3. Prior-Session Liquidity
Prior-session high and low are projected forward as liquidity reference levels. A sweep is confirmed only when price trades through a prior level but closes back inside it on a confirmed bar.
4. Confirmed Bias State
Bias updates from opening-range breaks and mature sweep states. All official events use confirmed bars, avoiding realtime-only signals being mistaken for final signals.
5. Visual System
The overlay uses transparent session bands, opening-range shading, prior-session reference lines, and a compact dashboard. No arrows or retail-style marker clutter are used.
Features
Session range band: Tracks live high and low of the selected session
Opening range band: Displays the early-session decision range
Prior-session liquidity levels: Projects prior high and low as reference lines
Confirmed sweep detection: Detects high/low sweeps only after bar close
Confirmed opening-range breaks: Break events require closed-bar confirmation
Bias tinting: Background gently reflects current bullish, bearish, or neutral state
Top-right dashboard: Shows session status, bias, sweep state, breakout state, range, OR/session ratio, and body balance
Alert conditions: Includes confirmed alerts for sweeps and opening-range breaks
Input Parameters
Session:
Primary Session: Session window used by the atlas
Opening Range Minutes: Number of minutes used to build the opening range
Sweep Hold Bars: Bars required before a sweep state matures into bias context
Visual:
Show Session Band
Show Opening Range Band
Show Prior Session Liquidity
Tint Background On Bias
Line Width and transparency controls
How to Use
Step 1: Read the dashboard bias and session status.
Step 2: Watch whether price is inside or outside the opening range.
Step 3: Treat prior-session high and low as liquidity reference levels, not guaranteed reversal points.
Step 4: Use confirmed sweeps and confirmed opening-range breaks as context for another entry model or discretionary plan.
Limitations
Opening-range logic depends on the selected session and chart timeframe
A sweep can fail and continue beyond the prior level
The indicator is a context layer, not a complete trading system
Signals confirm only after the bar closes, so they intentionally appear after the event candle is complete
Originality Statement
SLA is an original JOAT implementation combining session range logic, prior-session liquidity sweeps, opening-range breaks, and a compact state dashboard into one transformed Pine Script v6 overlay. It is not a copy of any source script.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
Indicator
Asterion Level Weave [JOAT]Asterion Level Weave
Introduction
Asterion Level Weave is an open-source reference-level and directional-bias overlay built around daily pivots, weekly pivots, a weighted EMA weave, and opening-range structure. Its purpose is to show where price is located relative to higher-order reference levels while also showing whether internal directional pressure is aligned with those levels.
The problem this script solves is context stacking. Traders frequently use pivot lattices, moving averages, and opening ranges separately, then mentally combine them. Asterion Level Weave places those components into one framework so the user can evaluate premium versus discount location, directional weave bias, and session structure from a single chart layer.
Core Concepts
1. Daily And Weekly Pivot Lattice
The script calculates prior-day and prior-week pivot references and extends them forward on the chart. Daily pivot, R1, S1, R2, and S2 create the near-term lattice, while weekly pivot references provide a slower macro anchor.
2. Weighted EMA Weave
Instead of averaging EMAs equally, the script weights multiple EMAs by their recent slope magnitude. This gives more influence to the parts of the curve that are moving with stronger directional intent.
3. Equilibrium And Location Model
The script derives an equilibrium box around the daily pivot and uses price location relative to that structure to frame premium, discount, and balance.
4. Opening Range Structure
An opening-session range is captured and projected forward with a midpoint reference. This adds a session-specific structure layer that can be compared against pivot and weave alignment.
Features
Daily pivot lattice: D-pivot, R1, S1, R2, and S2 with forward extension
Weekly pivot lattice: Weekly pivot references for broader context
Daily equilibrium box: Optional box around the central daily balance zone
Weighted EMA weave: Multi-EMA directional cloud with weighted centerline
Location labeling: Right-edge labels for major active references
Opening range projection: Session range and midpoint extension
Directional candle tint: Candle state can reflect weave direction
Dashboard: Displays location, directional bias, pivot state, and opening structure context
Higher-order reference integration: Daily, weekly, session, and EMA structure in one chart layer
Input Parameters
Reference Levels:
Daily and weekly pivot toggles
Forward extension controls
Equilibrium box toggle
Ribbon Engine And Display:
EMA weave toggle, centerline toggle, ribbon smoothing, and slope lookback for weighting
Opening range session and extension
Dashboard, candle-color, and background toggles
How to Use This Indicator
Step 1: Determine whether price is trading above or below the daily pivot and weekly pivot.
Step 2: Use the weave centerline and cloud direction to judge whether internal momentum aligns with that location.
Step 3: Treat the equilibrium box as a balance region and the pivot lattice as directional reference.
Step 4: Use the opening range and midpoint to see whether the session is accepting above or below initial balance.
Step 5: Prefer trades where location, weave bias, and opening-range behavior point in the same direction.
Indicator Limitations
Pivot references are static for the active session and do not adapt intraday until the next period begins
The weighted weave still relies on lagging EMA calculations and will trail abrupt reversals
Opening range significance depends on the instrument and session chosen
This script is best used as a context framework rather than as a standalone entry trigger
Originality Statement
Asterion Level Weave is original in how it combines forward pivot lattices, a slope-weighted EMA weave, and opening-range structure into one location-versus-bias framework. Each component answers a different part of the same question: where price is, how it is moving, and how the active session is organizing around reference levels.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Pivot levels, equilibrium zones, and moving-average structure are analytical tools and should not be treated as guaranteed reaction levels.
-Made with passion by jackofalltrades
Indicator
Iterative Epanechnikov ChannelThe Iterative Epanechnikov Channel is a kernel-based smoothing and state estimation framework that applies an Epanechnikov kernel regression to price data, combined with a rolling standard deviation envelope to construct adaptive dynamic channel boundaries.
Unlike kernels with infinite support that allow distant historical observations to influence the estimate, the Epanechnikov kernel uses a compact weighting structure that strictly limits influence to a finite window. This ensures that only relevant, recent price information contributes to the regression, resulting in a more localized and structurally responsive estimate of price behavior.
The resulting channel is structurally responsive while remaining statistically efficient, making it particularly effective for tracking short-to-intermediate trend development, identifying localized overextension, and adapting quickly to evolving conditions.
Its primary utility is as a state estimation and structural tracking tool for price behavior, rather than a persistence-weighted regime model.
TRADING USES
The Epanechnikov Channel is best interpreted as a localized structural filter; within a multi-model framework, it captures the immediate structural state of price, helping distinguish early transitions, active trends, and short-term disequilibrium relative to slower, memory-weighted estimators.
Trend Detection
The channel basis line (Epanechnikov smoothed price) provides a responsive representation of underlying market direction. Sustained movement above or below the basis reflects directional continuation, while rapid shifts in the basis can indicate emerging changes in trend.
Structural Responsiveness
Due to the compact support of the Epanechnikov kernel, only recent price data contributes to the estimate. This produces sharper turning points and faster adaptation to new information, allowing the channel to respond efficiently to changes in market structure.
Mean Reversion Context
Because the estimator is more localized, price interacts with the channel boundaries more frequently. These interactions represent short-term deviations from the estimated state:
- Upper band: localized overextension
- Lower band: localized underextension
This makes the channel well-suited for mean reversion frameworks and volatility-based entry timing.
State Estimation
The channel functions as a continuous estimator of market state:
- The basis represents the inferred local price state
- The envelope represents dynamic volatility dispersion around that state
Compared to heavy-tailed kernels, the Epanechnikov-based state estimate is more sensitive to current conditions and less influenced by distant history, providing a clearer view of present market structure.
Volatility & Risk Context
The rolling standard deviation envelope expands and contracts based on realized volatility, providing a contextual risk framework. Wider channels indicate increased uncertainty and dispersion, while tighter channels indicate compression and lower variance conditions.
THEORY
The Epanechnikov kernel is a quadratic, compact-support kernel used in Nadaraya–Watson nonparametric regression, introduced by V. A. Epanechnikov (1969, Non-Parametric Estimation of a Multivariate Probability Density, Theory of Probability & Its Applications) as the mean squared error–optimal bounded kernel; in this implementation it is applied causally (non-repainting) and centered at the current bar using only historical data, with the original startAtBar offset removed to maintain proper kernel alignment with the estimation point.
It is defined as:
K(u) = 3/4 (1 − u²), for |u| ≤ 1
Where:
---> u represents normalized distance from the current observation
---> ℓ (lookback) defines the window over which the kernel operates
Unlike Gaussian kernels, which apply exponentially decaying weights over an infinite range, the Epanechnikov kernel assigns zero weight to all observations outside its finite support. This produces a strictly localized estimator that is both computationally efficient and statistically optimal in a mean squared error sense among bounded kernels.
Because the kernel is centered on the current observation and evaluated using only past data, the implementation remains causal and non-repainting while preserving the essential structure of kernel regression.
The rolling standard deviation complements this by measuring dispersion around the estimated state, forming a volatility-adaptive envelope. Rather than acting as a strict statistical confidence interval, it provides a dynamic representation of market expansion and contraction. The Epanechnikov kernel is a localized smoothing estimator rather than a structural similarity model, thus dispersion is defined using price-based volatility rather than kernel-weighted variance, providing a stable and interpretable envelope consistent with its role as a reactive state estimator.
The iterative implementation processes data sequentially (bar-by-bar), ensuring computational efficiency and making the indicator suitable for real-time use without repainting.
CALIBRATION
Calibration determines the balance between responsiveness, noise, and structural clarity.
Length (Lookback)
- Lower (8–16): More responsive, increased sensitivity to short-term structure
- Medium (20–40): Balanced for swing trading and intermediate regimes
- Higher (50–64+): Smoother output, reduced noise, slower response to turning points
Smoothing Mode (Single vs Double Pass)
Controls the tradeoff between responsiveness and stability:
Single Pass:
- Pure Epanechnikov regression
- Maximum responsiveness
- Faster detection of structural changes
- Increased sensitivity to noise
Double Pass:
- Applies the kernel regression twice
- Reduces variance and smooths fluctuations
- Produces cleaner structural output
- Introduces additional lag
This parameter allows users to tune the indicator based on whether early signal detection or stability is preferred.
MARKET USAGE
Stock, Forex, Crypto, Commodities, and Indices. Indicator
Auction Lattice Reserve [JOAT]Auction Lattice Reserve
Introduction
Auction Lattice Reserve is an open-source auction-context indicator built to classify where price is trading relative to accepted value. It maps a fixed-lookback volume distribution, calculates Point of Control and Value Area boundaries, scores the current auction state, and then projects that information back onto the chart using profile slices, equilibrium bands, acceptance boxes, and an optional confirmed-bar TP/SL scaffold.
The main problem this script solves is location. Many directional tools can detect trend, but they do not explain whether price is trading above value, below value, or rotating around equilibrium. Auction Lattice Reserve provides that context directly from a rolling auction profile and combines it with trend and volume expansion scoring so the user can distinguish balance, markup, and distribution states.
Core Concepts
1. Fixed-Range Auction Profile
The script scans a configurable lookback window, divides the price span into bins, and apportions each candle's volume into the bins it overlaps. This creates a rolling distribution of where volume was accepted:
int firstBin = math.max(0, math.min(auctionBins - 1, math.floor((localLow - auctionLow) / auctionBin)))
int lastBin = math.max(0, math.min(auctionBins - 1, math.floor((localHigh - auctionLow) / auctionBin)))
2. Point of Control and Value Area
The highest-volume bin becomes the Point of Control. Value Area is expanded outward from the POC until the chosen percentage of total profile volume is captured. This makes the script useful for identifying accepted value and dislocation:
auctionPoc := auctionLow + (auctionPocBin + 0.5) * auctionBin
auctionVaLow := auctionLow + leftBin * auctionBin
auctionVaHigh := auctionLow + (rightBin + 1.0) * auctionBin
3. Auction State Scoring
The indicator does not rely on value alone. It blends distance from POC, trend spread, and short-vs-long volume expansion into an auction score. This creates a more robust state engine than simply checking whether price is above or below the value area.
4. Acceptance and Rejection Context
Price trading outside the value area for consecutive confirmed bars is treated as accepted migration rather than a brief probe. When acceptance is confirmed, the script can project an acceptance box forward and optionally build a TP/SL ladder from the event.
5. Institutional Visualization
The script uses right-side profile slices, layered clouds around value, an equilibrium band, candle-state coloring, and a compact top-right dashboard instead of retail-style arrows or decorative markers.
Features
Rolling auction profile: Fixed-lookback volume profile rendered at the right edge of the chart
Point of Control and Value Area: POC, VA High, and VA Low plotted directly on price
Auction score: Blends volume expansion, trend spread, and distance from equilibrium
Equilibrium band: Mid-band around POC for visual balance context
Acceptance boxes: Forward-projected boxes when price confirms value acceptance above or below the value area
Optional TP/SL scaffold: Confirmed-bar entry, stop, TP1, TP2, TP3 rails with risk/reward fill
Top-right dashboard: Shows current state, POC, value location, volume pressure, trend, and score
Dark-mode visual design: Layered teal, rose, and gold tones tailored to auction concepts
How to Use This Indicator
Step 1: Check whether price is above value, below value, or inside value.
Step 2: Review the auction score and dashboard state. Strong positive values indicate markup pressure. Strong negative values indicate distribution or liquidation pressure.
Step 3: Watch for acceptance boxes. These show that price is no longer only probing value but may be migrating to a new area of acceptance.
Step 4: Use the optional TP/SL scaffold only as a contextual planning aid. It is not a promise of outcome.
Indicator Limitations
Because the profile is rolling, value levels adapt over time and are not static
A short lookback can make the auction map overly sensitive in volatile markets
Acceptance logic requires confirmed bars, so some moves will already be underway when the state changes
The TP/SL scaffold is informational and does not execute trades
Originality Statement
Auction Lattice Reserve is original in the way it combines a rolling auction profile, an equilibrium band, value-acceptance migration logic, and an institutional-style execution scaffold into one open-source indicator. The publication is intended to provide a reusable context layer for traders who want value-based location rather than a standalone entry system.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Auction context and value-area behavior are derived from historical price and volume data and do not guarantee future results. Always use independent judgment and risk management.
-Made with passion by jackofalltrades
Indicator
Range Equilibrium Rotation Planner [AGPro Series]Range Equilibrium Rotation Planner
🧠 Core Idea
Is price rotating cleanly away from range equilibrium toward an edge, or is the midpoint still controlling the auction?
📌 Overview / What it does
Range Equilibrium Rotation Planner maps mature range structure and focuses on the midpoint equilibrium area instead of treating every range as a breakout setup.
The script displays the active range box, equilibrium band, edge rails, rotation room rail, failure rail, event labels, right-side tags, optional bar coloring, and a compact AG Pro dashboard with a 0-100 Rotation Score.
It does not predict range breaks. It helps organize range balance, midpoint control, directional rotation, edge room, failure risk, and next-action state.
🎯 Purpose & Design Philosophy
Many range tools focus on support, resistance, or breakout alerts.
This script was built for a different question: what happens inside the range before price reaches the edge?
It helps traders review whether price is still trapped around equilibrium or beginning a clean rotation from the midpoint toward the upper or lower edge.
⚡ Why This Script Is Different
Most range indicators draw a box and wait for a breakout.
This script does NOT center the workflow on range escape.
Instead, it evaluates range maturity, midpoint control, rotation quality, edge room, and failure back through equilibrium. The goal is rotation planning, not breakout prediction.
⚙️ Methodology
1. Range Maturity Detection
The script builds a rolling range using recent high and low structure, then checks whether the height and edge interactions are meaningful.
2. Equilibrium Mapping
The midpoint band is calculated around the center of the range and becomes the key control zone.
3. Rotation Evaluation
Price must move away from equilibrium with enough buffer before directional rotation is considered active.
4. Risk / Room Structure
The active edge becomes the room reference, while the opposite side of equilibrium becomes the failure area.
5. Visual Output
The chart receives a range box, equilibrium band, edge rails, room rail, failure rail, labels, right-side tags, optional bar coloring, and dashboard panel.
🗺️ How to Read the Chart
The range box marks the current high-to-low structure.
The equilibrium band shows the midpoint area where rotation control is evaluated.
The upper and lower rails mark the active range edges.
The room rail marks the edge being targeted by the active rotation.
The failure rail marks where rotation has moved back through the wrong side of equilibrium.
Labels highlight mature ranges, rotations from midpoint, equilibrium holds, edge reviews, and failed rotations.
Colors represent context:
• Teal → bullish rotation
• Pink → bearish rotation or failure
• Gold → equilibrium, room, or edge review
• Indigo → range structure or waiting context
The panel summarizes:
• Range
• Rotation Score
• Balance
• Room
• Action
🚦 Signals & States
• Range Ready → a mature range structure is available
• Bull Rotation → price rotated upward from equilibrium
• Bear Rotation → price rotated downward from equilibrium
• Midpoint Hold → price remains controlled by the equilibrium band
• Edge Review → price reached the active range edge
• Failed → rotation moved back through the failure rail
• READY → rotation quality and room are strong enough to monitor
• MONITOR → rotation is active but not fully ready
• WAIT RANGE → no mature range exists
• WAIT ROTATION → range exists but no clean rotation has started
🔔 Alerts Logic
Alerts can trigger when a mature range appears, when bullish or bearish rotation begins, when READY state appears, when midpoint hold appears, when an edge is reached, or when the rotation fails.
Alerts are attention markers only. They are not trade instructions.
🧩 Confluence Logic
The context becomes stronger when range maturity, balanced edge interaction, midpoint departure, edge room, and failure distance align.
The script avoids treating midpoint noise as a clean rotation without confirmation.
📊 When to Use
• Sideways markets with visible range structure
• Crypto, forex, indices, and liquid stocks
• 1H, 4H, and 1D market structure review
• Mean-reversion planning inside a range
• Range edge preparation without waiting for breakout-only logic
⚠️ When NOT to Use
• Strong one-directional trends with no range structure
• Thin symbols with unreliable highs and lows
• News-driven candles that distort range boundaries
• Very small ranges where spread or tick noise dominates
• Markets with unstable data or irregular sessions
🎛️ Key Inputs
• Range Lookback → controls the structure used to build the range
• Minimum / Maximum Range Height ATR → filters ranges that are too small or too wide
• Edge Touch Tolerance → controls how edge interactions are counted
• Equilibrium Band ATR → controls midpoint band width
• Rotation Break Buffer → controls how far price must move beyond equilibrium
• Minimum Ready Score → controls READY strictness
• Projection Bars → controls how far boxes, rails, and tags extend
• Visual settings → control labels, tags, panel location, theme, and font size
🖥️ Interface & Visual Design
The panel is designed to show the range state, rotation quality, balance, room, and action without overloading the chart.
The first row uses a merged AG Pro header. The chart layer keeps the range and equilibrium structure visible while leaving room for price action.
Labels are controlled with cooldown and maximum count settings to preserve a premium screenshot style.
🧪 Practical Usage Workflow
1. Read the panel.
2. Confirm a mature range exists.
3. Check whether price is still at equilibrium or rotating away.
4. Review room to the active edge.
5. Watch the failure rail if rotation loses control.
🔍 Interpretation Guidelines
A high score means range maturity, midpoint departure, and edge room are aligned.
A midpoint hold means equilibrium is still controlling the auction.
An edge review means the rotation has reached the active range edge and should be interpreted as context, not as an automatic exit.
A failed state means the active rotation moved back through its failure boundary.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not place orders.
It does not guarantee edge reach, reversal, breakout, or profitability.
⚠️ Limitations & Transparency
Range boundaries can shift as new highs or lows appear.
Different timeframes may show different range structures.
Large volatility events can temporarily distort range height and edge touch quality.
Low liquidity may create unreliable equilibrium or edge behavior.
The script is rule-based and should be interpreted within broader market context.
🧠 Market Context Notes
Equilibrium is often where the market decides whether price will rotate toward an edge or remain balanced.
The strongest rotation contexts usually appear when price leaves midpoint with room, while failure remains clearly defined.
This script is designed to make that inside-range decision point easier to read.
🧾 Use Case Examples
When price holds near midpoint and then closes above the equilibrium band, the script can begin tracking bullish rotation toward the upper range edge.
When price rotates downward from equilibrium and reaches the lower edge, the context shifts into edge review rather than fresh entry signaling.
When price moves back through the failure rail, the active rotation context fails.
🧱 System Philosophy
AGPro Series tools are built as decision-support systems.
They aim to convert market structure into readable context: what is active, what improves the plan, what invalidates it, and what should be reviewed next.
🔐 Non-Promise Statement
No script can provide certainty.
No signal guarantees outcome.
This tool provides structured context only.
📉 Risk Disclosure
Trading involves risk.
Markets can move quickly and unexpectedly.
Users are responsible for their own analysis, risk management, and decisions.
This script does not provide financial advice.
📚 Educational Note
Use this tool to study how range equilibrium, midpoint control, rotation quality, and edge room interact across different symbols and timeframes.
Indicator
Absorption Range Ledger [JOAT]Absorption Range Ledger
Introduction
Absorption Range Ledger is an open-source range and participation overlay built to detect high-participation ranges, estimate internal bull-vs-bear ownership, track weighted equilibrium, and monitor whether the market is being absorbed, contained, reclaimed, or broken. It is designed for traders who want richer range context than a basic support/resistance box.
The script identifies high-participation candles, merges overlapping activity into persistent range zones, tracks a weighted equilibrium line inside the zone, and then highlights whether that zone is acting as supportive absorption, resistant absorption, or a two-way transfer area. Optional TP/SL rails are created when weighted reclaims or range breaks occur on confirmed bars.
Core Concepts
1. High Participation Detection
The script compares current volume to a baseline moving average. When participation exceeds the threshold, the candle is eligible to build or extend an absorption range.
2. Range Merging
New high-participation candles are merged into existing ranges when overlap conditions are satisfied. This creates broader institutional-style transfer zones rather than isolated candle markers.
3. Ownership Split
Each active range tracks approximate bullish and bearish ownership internally. This is displayed visually using sub-boxes and summarized numerically in the dashboard.
4. Weighted Equilibrium
A weighted equilibrium line is maintained inside the dominant active range. This level serves as a practical internal reference for reclaim and failure behavior.
5. Range Events
The script distinguishes containment, weighted-line reclaims, and outright range breaks. These states are used for dashboard context and optional TP/SL scaffolding.
Features
High-participation range detection: Builds active ranges when volume exceeds the baseline threshold
Range merging: Overlapping participation bars are combined into richer zones
Bull/bear ownership split: Internal sub-boxes show approximate participation balance
Weighted equilibrium line: A central reference inside the active range
Dominant active range logic: Tracks the most relevant current range for context
Range reclaim and break states: Distinguishes contained trade from directional escape
Optional TP/SL ladder: Builds informational risk rails on confirmed reclaims and breaks
Top-right dashboard: Shows state, active count, weighted level, balance, range width, and event condition
How to Use This Indicator
Step 1: Identify whether a dominant active range exists.
Step 2: Check the ownership balance. Strong positive balance suggests bid-side absorption. Strong negative balance suggests offer-side absorption.
Step 3: Watch how price behaves around the weighted equilibrium line. Reclaims and failures often provide better context than touching the raw box boundary alone.
Step 4: Use confirmed breaks of the dominant range as state changes, not as guaranteed trend starts.
Indicator Limitations
Ownership balance is an internal estimate, not a true order-flow measurement
Range merging depends on the chosen volume threshold and can be too broad or too narrow if poorly configured
Old ranges expire by design and will not remain indefinitely on the chart
The TP/SL ladder is informational and not an execution engine
Originality Statement
Absorption Range Ledger is original in the way it combines participation-based zone merging, internal ownership splitting, weighted equilibrium governance, and event-driven scaffolding into one open-source range tool. It is published as a contextual market-transfer indicator rather than a simple breakout box.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Participation, ownership, and absorption states are inferred from historical price and volume behavior and may not reflect future outcomes. Use independent analysis and risk management.
-Made with passion by jackofalltrades
Indicator
Volumetric Pressure Gradient [JOAT]Volumetric Pressure Gradient
Introduction
Volumetric Pressure Gradient is an institutional-style volume location oscillator that converts rolling value distribution into a clean 0-100 pressure map. Instead of forcing the trader to interpret raw profile levels in price space only, the indicator rescales the Point of Control, Value Area High, and Value Area Low into the same oscillator space as current price location. This creates a direct view of whether price is trading above value, below value, or rotating through equilibrium.
The result is a cleaner decision tool for traders who want to understand auction positioning without cluttering the chart with a full profile rendering. It is designed to answer a simple but powerful question: where is price trading relative to where volume has actually concentrated?
Why This Indicator Exists
Value Location Context: Shows where price sits inside the recent auction range
POC Relationship: Highlights when price is trading above or below volume-weighted equilibrium
Value Area Awareness: Tracks whether price is stretching outside accepted value or rotating back into it
Momentum Confirmation: Uses consecutive closes relative to the scaled POC for cleaner pressure confirmation
Compact Visualization: Delivers profile intelligence in a sub-pane without overwhelming the chart
Core Components Explained
1. Rolling Volume Distribution
winHigh = ta.highest(high, lookback)
winLow = ta.lowest(low, lookback)
binSize = (winHigh - winLow) / bins
The indicator builds a rolling distribution over the selected lookback window using equal-width price bins. Each candle contributes volume into the bin that contains its midpoint. This keeps the logic fast, stable, and visually clean while still capturing where trade participation has concentrated.
2. Point of Control Calculation
The Point of Control is the bin with the greatest accumulated volume. It represents the most accepted price area inside the current rolling auction. When the oscillator is above the scaled POC, buyers are holding price above accepted value. When below, price is trading at a discount relative to the current volume center of gravity.
3. Value Area Expansion
vaTarget = totalVol * valueAreaPct / 100.0
Starting from the POC, the script expands upward and downward until the cumulative volume reaches the selected value area percentage. This produces a dynamic Value Area High and Value Area Low that respond to where trading activity is actually clustering.
4. Oscillator Normalization
oscillator = ta.ema((close - winLow) / range * 100.0, smoothLen)
Price location is transformed into a 0-100 oscillator so it can be compared directly against the scaled POC and value boundaries. This turns volume profile interpretation into a faster read:
Above POC = premium to value
Below POC = discount to value
Near Value Area High = acceptance near upper auction boundary
Near Value Area Low = acceptance near lower auction boundary
5. Pressure Confirmation Logic
The indicator tracks consecutive bars above or below the scaled POC. This avoids overreacting to one-bar noise and helps confirm whether price is actually sustaining premium or discount pressure.
Visual Elements
Main Oscillator: Color-switching pressure line based on price location relative to POC
POC Line: Gold equilibrium reference showing accepted value
VA High / VA Low: Soft boundary lines for the active value area
Gradient Fill: Bullish above POC, bearish below POC
OB/OS Background: Optional shading when price stretches to extremes
Momentum Markers: Compact confirmation triangles when above/below-POC pressure persists
Dashboard: Live readout of VAH, POC, VAL, width, position, and regime
Input Parameters
Lookback Bars: Window used for the rolling profile and oscillator normalization
Value Area %: Percentage of total volume used to define accepted value
Overbought / Oversold: Stretch thresholds for auction extremes
Momentum Confirm Bars: Required bars above or below POC before confirmation fires
Oscillator EMA: Smoothing applied to the normalized pressure line
How to Use This Indicator
Step 1: Identify whether the oscillator is above or below the POC. This tells you if price is trading at premium or discount relative to recent value.
Step 2: Check whether price is rotating inside value or expanding away from it.
Step 3: Watch for momentum confirmation markers when pressure sustains on one side of the POC.
Step 4: Use overbought and oversold conditions as context, not automatic reversal signals.
Step 5: Combine with structure or trend tools for directional execution.
Best Practices
Use on liquid markets where reported volume is meaningful
Treat the POC as equilibrium, not as guaranteed support or resistance
Combine premium/discount information with higher-timeframe structure
Momentum confirmation works best when the value area is not extremely narrow
Value area width can help identify compression vs expansion conditions
Indicator Limitations
This is a rolling approximation of value, not a full exchange-native volume profile engine
Very small lookbacks can make value levels overly reactive
Overbought and oversold readings can remain extended in strong trends
Value acceptance does not guarantee reversal
Volume quality varies by market and broker feed
Technical Implementation
Built in Pine Script v6 using:
Rolling bin-based volume distribution
POC-first value area expansion
Normalized 0-100 price-location oscillator
EMA smoothing for pressure readability
Consecutive-bar momentum confirmation
Non-repainting confirmed-bar updates
Originality Statement
This indicator is original in how it compresses profile-style value logic into an oscillator workflow. Rather than drawing a traditional profile on the price chart, it translates value, equilibrium, and range position into a compact pressure framework that is easier to combine with momentum and structure analysis.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves risk, including the risk of loss. Volume-based context improves decision quality, but it does not predict future price movement with certainty. Always use proper risk management and independent judgment.
-Made with passion by officialjackofalltrades
Indicator
Iterative Locally Periodic EnvelopeThe Iterative Locally Periodic Envelope is a phase-conditioned kernel estimator with temporal locality and endogenous dispersion modeling, implemented as a Nadaraya–Watson estimator under a locally periodic kernel.
The locally periodic kernel defines similarity through cyclical phase alignment modulated by temporal proximity. Observations contribute to the estimator based on both their position within a repeating cycle structure and their recency, emphasizing structural recurrence with sensitivity to local regime conditions.
The indicator computes a latent equilibrium using a kernel-weighted mean and a dispersion measure using kernel-weighted variance under the same weighting structure. The resulting envelope reflects cycle-consistent deviation with temporal locality, rather than a conventional volatility band. All values are computed exclusively on closed historical bars using a bounded lookback window to ensure non-repainting behavior.
This indicator belongs to a broader class of iterative kernel-based envelopes that includes Gaussian, Rational Quadratic, and Periodic variants. All share a common Nadaraya–Watson estimation framework, differentiated by their kernel.
TRADING USES
The Iterative Locally Periodic Envelope is best interpreted as a cycle-aware structural estimator with adaptive temporal sensitivity, rather than a volatility-based band. The temporal locality component allows the estimator to adapt more readily to emerging regime shifts than the pure periodic variant.
Equilibrium Tracking
The latent equilibrium represents the phase-conditioned central tendency of price under locally periodic similarity weighting. Oscillations around this level reflect movement within a repeating structural cycle, with more recent phase-aligned observations contributing more strongly than temporally distant ones.
Cycle Regime Structure
The envelope emphasizes repeating structural behavior through phase recurrence weighting, modulated by temporal decay. Changes in symmetry, amplitude, or persistence of oscillation around the latent equilibrium may indicate transitions between cyclical regimes.
Mean Reversion Within Cycles
When a stable periodic structure is present, deviations from the latent equilibrium may revert toward phase-consistent levels. Mean-reversion behavior is conditioned on both cycle structure and temporal proximity.
Structural Extremes
Extreme deviations relative to the envelope correspond to phase-inconsistent states where cyclical structure becomes stretched or destabilized. Because the kernel incorporates temporal decay, these conditions are identified with greater sensitivity to recent price behavior.
State Estimation
The system defines a latent equilibrium as the inferred central cyclical state under joint phase and temporal weighting, with dispersion derived from kernel-weighted variance under identical constraints. This produces a structurally consistent representation of the market state that is sensitive to both cyclical position and local regime conditions.
LOCALLY PERIODIC ENVELOPE CONSTRUCTION
The envelope is constructed using kernel-weighted variance under the same locally periodic similarity measure used to estimate the latent equilibrium. The latent equilibrium defines the central state estimate and kernel-weighted variance defines dispersion under identical weighting, producing an endogenously determined envelope. The band width is fixed at ±1 kernel standard deviation with no multiplier, ensuring dispersion remains an intrinsic property of the locally periodic similarity structure rather than an externally imposed scaling parameter.
THEORY
The locally periodic kernel defines similarity in terms of cyclical phase recurrence modulated by temporal proximity. Observations contribute to the estimator based on alignment within a repeating cycle structure, with influence attenuated by temporal distance from the estimation point.
The estimator is formulated as a Nadaraya–Watson kernel regression under a locally periodic kernel, where weights are defined as:
k(i) = exp( -2 · sin²(πi / p) / L² ) · exp( -i² / 2L² )
Where:
p = period (cycle length)
L = lookback window (shared bandwidth parameter; effective smoothing scales with L²)
In this MacKay consistent formulation, the lookback window acts as a unified bandwidth parameter governing periodic phase selectivity and the Radial Basis Function (RBF) temporal decay envelope. The two components are coupled through L, producing a kernel that simultaneously emphasizes phase-aligned and temporally proximate observations.
As L increases, both the periodic and RBF components broaden, producing stronger smoothing across phase and time. As L decreases, phase selectivity and temporal locality both increase, making the estimator more sensitive to recent cycle-consistent observations.
This induces a similarity structure in which influence concentrates at phase-aligned intervals within a temporally bounded neighborhood. The resulting estimator defines a latent equilibrium governed by phase alignment and temporal proximity that can be interpreted as a locally stationary periodic extension of kernel regression on a circular phase manifold.
The key distinction from the pure periodic kernel is that phase-aligned observations at distant lags are progressively suppressed by the RBF decay term, allowing the estimator to adapt to structural drift while preserving cycle-aware weighting. During stable cyclical regimes the two estimators converge; during structural transitions the locally periodic variant adapts faster by downweighting older phase information.
CALIBRATION
As established in Gaussian Processes for Machine Learning (Rasmussen & Williams, 2006), the period should reflect the recurrence interval of the dominant cycle in the data, while the bandwidth parameter L controls how quickly similarity decays away from perfect phase alignment. For daily charts, common cycle anchors include the trading week (~5 bars), trading month (~21 bars), trading quarter (~63 bars), and trading year (~252 bars).
Length (Lookback / Bandwidth)
Controls structural depth of the estimator and acts as the unified bandwidth parameter for the periodic and RBF components; as L governs phase selectivity and temporal decay simultaneously, its effect is stronger than in the pure periodic variant. The default of 100 reflects the locally periodic kernel's temporal decay component; at longer lengths the RBF term weakens and behavior converges toward the pure periodic estimator.
- 50–100: high responsiveness, strong temporal locality, short-cycle sensitivity
- 150–250: balanced regime stability with moderate temporal decay
- 300+: broad structural smoothing, weak temporal decay, behavior converges toward pure periodic envelopes
Period (Cycle Length)
Defines the recurrence interval of the kernel and governs phase alignment and cyclical structure. Shorter periods increase phase resolution and cycle sensitivity, while longer periods emphasize broader structural recurrence. The period should reflect the dominant cycle present in the data, aligned with the anchor scales defined above.
Start At Bar
Offsets the kernel window backward from the most recent bars and excludes newer observations from the estimator. This ensures all calculations are based strictly on closed historical data and preserves non-repainting behavior.
MARKET USAGE
Stock, Forex, Crypto, Commodities, and Indices.
Performance is dependent on the presence of stable cyclical structure; in regimes lacking periodic coherence, the estimator converges toward a local smoother with reduced phase discrimination. Indicator
Iterative Periodic EnvelopeThe Iterative Periodic Envelope is a phase-conditioned kernel estimator with endogenous dispersion modeling, implemented as a Nadaraya–Watson estimator under a canonical periodic kernel.
The periodic kernel defines similarity through cyclical phase alignment rather than temporal proximity or multi-scale distance decay. Observations contribute to the estimator based on their position within a repeating cycle structure, emphasizing structural recurrence over linear time dependence.
The indicator computes a latent equilibrium using a kernel-weighted mean and a dispersion measure using kernel-weighted variance under the same weighting structure. The resulting envelope reflects cycle-consistent deviation, rather than a conventional volatility band. All values are computed exclusively on closed historical bars using a bounded lookback window, ensuring non-repainting behavior.
This indicator belongs to a broader class of iterative kernel-based envelopes that includes Gaussian and Rational Quadratic variants. All share a common Nadaraya–Watson estimation framework, differentiated by their kernel.
TRADING USES
The Iterative Periodic Envelope is best interpreted as a cycle-aware structural estimator rather than a volatility-based band.
Equilibrium Tracking
The latent equilibrium represents the phase-conditioned central tendency of price under periodic similarity weighting. Oscillations around this level reflect movement within a repeating structural cycle rather than directional drift.
Cycle Regime Structure
The envelope emphasizes repeating structural behavior through phase recurrence weighting. Changes in symmetry, amplitude, or persistence of oscillation around the latent equilibrium may indicate transitions between cyclical regimes.
Mean Reversion Within Cycles
When a stable periodic structure is present, deviations from the latent equilibrium may revert toward phase-consistent levels. This supports mean-reversion behavior that is conditioned on cycle structure rather than purely statistical dispersion.
Structural Extremes
Extreme deviations relative to the envelope correspond to phase-inconsistent states where cyclical structure becomes stretched or destabilized. These conditions often precede transitions such as cycle inversion, expansion, or compression.
State Estimation
The system defines a latent equilibrium as the inferred central cyclical state, with dispersion derived from kernel-weighted variance under identical periodic similarity constraints. This produces a structurally consistent representation of market state.
PERIODIC ENVELOPE CONSTRUCTION
The envelope is constructed using kernel-weighted variance under the same periodic similarity measure used to estimate the latent equilibrium. The latent equilibrium defines the central state estimate and kernel-weighted variance defines dispersion under identical weighting, producing an endogenously determined envelope. The band width is fixed at ±1 kernel standard deviation with no multiplier, ensuring dispersion remains an intrinsic property of the periodic similarity structure rather than an externally imposed scaling parameter.
THEORY
The periodic kernel defines similarity in terms of cyclical phase recurrence rather than linear temporal distance. Observations contribute to the estimator based on alignment within a repeating cycle structure.
The estimator is formulated as a Nadaraya–Watson kernel regression under a canonical periodic kernel, where weights are defined as:
k(i) = exp( -2 · sin²(πi / p) / L² )
Where:
p = period (cycle length)
L = lookback window (bandwidth parameter; effective smoothing scales with L²)
In this MacKay consistent formulation, the lookback window acts as a bandwidth control parameter, governing phase selectivity and structural smoothing. As L increases, the kernel becomes broader, producing stronger smoothing and reduced phase sensitivity. As L decreases, phase selectivity increases and the estimator becomes more locally sensitive to cyclical alignment.
This induces a cyclical similarity structure in which influence concentrates at recurring phase intervals. The resulting estimator defines a latent equilibrium governed by phase alignment rather than temporal proximity. This formulation can be interpreted as a periodic extension of kernel regression on a circular phase manifold.
CALIBRATION
Length (Lookback / Bandwidth)
Controls structural depth of the estimator and acts as the primary kernel bandwidth parameter.
- 50–100: high responsiveness, short-cycle sensitivity
- 150–250: balanced regime stability
- 300+: strong structural smoothing, reduced sensitivity to phase noise
Period (Cycle Length)
Defines the recurrence interval of the kernel and governs phase alignment and cyclical structure. Commonly aligns with dominant market rhythms such as intraday or macro-cycle structure.
- Lower values: faster cycle sensitivity
- Higher values: slower, broader structural cycles
Start At Bar
Offsets the kernel window backward from the most recent bars and excludes newer observations from the estimator. This ensures all calculations are based strictly on closed historical data and preserves non-repainting behavior.
MARKET USAGE
Stock, Forex, Crypto, Commodities, and Indices.
Performance is dependent on the presence of stable cyclical structure; in regimes lacking periodic coherence, the estimator converges toward a smoother, low-information state. Indicator
AG Pro Premium Discount Zone Engine [AGPro Series]AG Pro Premium Discount Zone Engine
Overview / What it does
AG Pro Premium Discount Zone Engine is a dealing-range and retracement context overlay built to map relative value inside a selected swing. Instead of treating price as a sequence of isolated candles, the script frames current price location against an active high-low range and highlights where price is trading relative to equilibrium, premium, discount, and the OTE area.
The core purpose of this tool is organizational. It is designed to help traders read where price is positioned inside a live swing and how price reacts when it moves into higher-value or lower-value retracement zones. This is especially useful when a chart is moving inside a pullback, when trend continuation is being evaluated, or when users want to distinguish between shallow retracements and deeper repricing within an existing range.
The script supports multiple ways to define the active range. Users can work with an automatically detected swing, a higher-timeframe dealing range, or a manual-lite anchor mode based on bar offsets. Once a valid range is identified, the script projects premium and discount territory, marks the 50% equilibrium, and highlights the OTE area using the 61.8, 70.5, and 78.6 retracement levels.
The output is intentionally visual, structured, and restrained. Premium and discount zones are shown as clean value blocks. The OTE area is treated as the main focus zone rather than a minor detail. The panel summarizes the active bias, current location, zone state, equilibrium level, and OTE boundaries so that users can read the chart quickly without relying on aggressive signal language.
Unique Edge
What makes this script different is that it is not built as a market-structure detector, imbalance mapper, liquidity event scanner, or order-block locator. Its job is narrower and more specific: it organizes relative price location inside a defined dealing range.
That distinction matters. Many overlays attempt to explain everything on the chart at once. This script does not. It does not try to label breaks of structure, detect fair value gaps, mark liquidity sweeps, or classify institutional zones. Instead, it answers a more focused question: where is price trading inside the current swing, and how is it behaving as it enters or leaves important retracement territory?
This also separates the script from other AG Pro tools. Some AG Pro overlays are built around structure transitions, some around imbalance behavior, some around reaction quality, and some around event detection. AG Pro Premium Discount Zone Engine is built around valuation context. It does not compete with those tools directly. It complements them by adding a relative-value map around a selected range.
Another difference is the zone-state logic. The script does not stop at drawing premium and discount blocks. It also tracks how price interacts with the OTE area and classifies that interaction using a simple state model such as Fresh, First tap, Retested, Rejected, Accepted, and Invalidated. This creates a more contextual read than a static retracement overlay.
Methodology
The script begins by identifying an active swing range. In Auto Swing mode, it uses pivot-based range detection. In HTF Swing mode, it builds the range from a higher-timeframe high-low window. In Manual-Lite Swing mode, it uses bar-offset anchors to let the user define a practical swing reference without requiring manual drawing tools.
Once the active range is available, the script calculates the internal value map:
- Swing High
- Swing Low
- 50% Equilibrium
- Premium territory above equilibrium
- Discount territory below equilibrium
- OTE zone using 61.8, 70.5, and 78.6 retracement levels
The script then monitors how price behaves around those levels. This produces context states rather than directional promises. For example, price entering the OTE area is not treated the same as price rejecting from it, accepting beyond it, or invalidating the active range. These are intentionally different events because they describe different chart conditions.
The equilibrium level is included as a centerline reference, while the OTE band is given stronger visual emphasis. This helps distinguish broad valuation territory from the narrower retracement pocket that many users monitor more closely.
Signals & Alerts
The signals in this script are event-based and deterministic. They are not designed as standalone trade instructions. They are designed to describe interaction with the active range.
Available event logic includes:
- OTE Test
- OTE Reject
- OTE Accept
- Discount Reaction
- Premium Rejection
- Equilibrium Cross
- Range Invalidated
- OTE Failure
These events are intended to provide chart context. For example, an OTE Test simply means price entered the active OTE zone. A Premium Rejection means price traded into the premium side and closed back below the local premium threshold used by the script. A Discount Reaction means price interacted with the discount side and responded upward under the script's rules. These are context events, not guarantees of continuation.
Alerts follow the same philosophy. They are defined in a rules-based way so users can monitor range interaction without needing to watch the chart continuously. The alert layer is most useful when the script is used as a location filter inside a broader workflow.
Key Inputs
Swing mode
Lets the user choose between Auto Swing, HTF Swing, and Manual-Lite Swing depending on whether the goal is reactive automation, higher-timeframe framing, or a more controlled local range definition.
Auto pivot length
Controls how sensitive the pivot-based swing detection is in Auto mode.
HTF timeframe and HTF lookback
Used to define the broader dealing range in higher-timeframe mode.
Manual high bars back / manual low bars back
Used to create a manual-lite range by referencing earlier bars as anchors.
Render bars back / render bars forward
Controls how far the active range projection extends on the chart.
Zone opacity and theme
Used to refine the visual balance between premium, discount, and OTE areas.
Label controls
Used to reduce visual noise by controlling label cooldown, label render window, and maximum visible labels.
Panel controls
Allow the user to reposition the panel and adjust its text size to fit different chart layouts.
Limitations & Transparency
This script does not predict direction. It does not forecast reversals. It does not decide whether a chart should trend, break, or fail. It maps relative value inside a selected range and reports interaction events inside that framework.
The quality of the output depends on the quality of the active swing. If the selected or detected range is not meaningful for the user's workflow, the valuation map will also be less meaningful. This is especially important in highly compressed, extremely noisy, or structurally unclear conditions.
Auto Swing mode is practical, but like any automated swing model, it depends on pivot confirmation and may update as newer pivots become available. HTF mode provides broader context but may feel less reactive on smaller charts. Manual-Lite mode gives more control but still depends on the user choosing sensible anchor distances.
OTE logic is range-relative. It does not incorporate unrelated concepts such as order blocks, liquidity pools, fair value gaps, session models, or external structure classifications unless the user combines those ideas manually in a separate workflow.
This script is best understood as a valuation-context overlay. It is not a complete strategy, not a full decision engine, and not a substitute for risk management.
How this differs from other AG Pro scripts
AG Pro Premium Discount Zone Engine is intentionally not a structure-break tool, not a CHoCH/BOS detector, not a liquidity sweep scanner, not an FVG engine, and not an order-block mapper.
Its role inside the AG Pro family is to answer a different question:
Where is price trading inside the active dealing range, and what is the quality of its interaction with that value map?
That makes it particularly useful for users who already understand direction from another process and want cleaner execution context. In other words, some tools focus on structural change, some focus on imbalance, and some focus on reaction events. This one focuses on valuation location.
Risk Disclosure
This script is for chart analysis and educational use only. It does not provide financial advice, investment advice, or guaranteed trade signals. Any use of this tool should be combined with independent analysis, risk controls, position management, and market-specific judgment.
The presence of an alert, label, premium zone, discount zone, or OTE interaction does not imply that price must react in a specific way. Markets can continue, reverse, compress, or invalidate a range without warning. Users should treat this script as a context tool, not as a promise of outcome.
Indicator
