Meridian Regime Overlay [JOAT]JOAT Meridian Regime Overlay
Introduction
JOAT Meridian Regime Overlay is an open-source market context overlay built to classify whether price is operating in directional expansion, balanced auction, or compression.
It is designed as a chart-first regime engine rather than a standalone trigger study.
The script combines local baseline alignment, confirmed higher-timeframe bias, pivot structure, opening-range acceptance, realized volatility state, and session VWAP location into one integrated regime map.
The problem it solves is context.
Many indicators can say whether price is above or below an average.
Far fewer explain whether the move is supported by volatility expansion, structural acceptance, value migration, and higher-timeframe alignment.
Meridian Regime Overlay focuses on that exact problem.
It grades the live auction bar by bar.
It also shows what is supporting the grade.
That makes it useful as a decision filter before interpreting any lower-level signal source.
This script is not trying to predict the future.
Its job is to organize the present market condition.
It helps answer practical questions:
Is the market trending with real conviction?
Is price only drifting above a baseline without expansion?
Is the market compressing near a likely release point?
Is higher-timeframe structure aligned with the current move?
Is price accepting away from value or simply rotating around it?
Core Concepts
1. Baseline Stack Alignment
Fast, slow, and anchor baselines define the local directional stack.
Directional strength improves when those baselines align in sequence and their slopes support the move.
fastBase = ta.ema(close, fastLen)
slowBase = ta.ema(close, slowLen)
anchorBase = ta.ema(close, anchorLen)
2. Confirmed Higher-Timeframe Bias
Higher-timeframe context is pulled using confirmed values only.
This avoids depending on unfinished HTF candles.
htfFast = request.security(syminfo.tickerid, biasTf, ta.ema(close , fastLen), lookahead = barmerge.lookahead_on)
htfSlow = request.security(syminfo.tickerid, biasTf, ta.ema(close , slowLen), lookahead = barmerge.lookahead_on)
htfAnchor = request.security(syminfo.tickerid, biasTf, ta.ema(close , anchorLen), lookahead = barmerge.lookahead_on)
3. Compression and Expansion State
The script compares Bollinger width and Keltner position to identify squeeze behavior and release behavior.
ADX and realized variance refine the classification.
4. Pivot Structure State
Confirmed pivots define recent structural reference points.
Breaks through those pivots update the structural state.
5. Session VWAP Context
Distance from session VWAP is normalized in ATR units.
This helps reveal whether price is auctioning away from value with intent or just rotating around it.
6. Opening-Range Acceptance
The opening range is tracked and plotted.
Acceptance above or below that range adds useful early-session context.
7. Composite Regime Score
Multiple directional variables are folded into a single regime score.
The score is a context summary, not a standalone trade signal.
8. Confirmed Event Labels
The overlay prints confirmed auction-up, auction-down, and squeeze-release labels directly on the chart.
Features
Directional regime classification: bullish expansion, bearish expansion, balance, and compression states
Baseline cloud system: fast and slow cloud for local trend stack
Confirmed HTF alignment: higher-timeframe bias uses confirmed values only
Opening-range plotting: high, low, and midpoint are tracked
Session VWAP context: value migration is integrated into the read
Pivot structure state: recent structural breaks are tracked
Compression and release logic: squeeze and expansion state are visualized
Bar-state coloring: candles transition with regime intensity
Confirmed event labels: auction and expansion markers print on the chart
Dashboard: summarizes regime, score, HTF, structure, volatility, and VWAP context
Input Parameters
Trend Engine:
Fast Baseline
Slow Baseline
Anchor Baseline
Adaptive Mean Length
Bias Timeframe
Slope Lookback
Slope Threshold ATR
RVOL Impulse Threshold
Volatility Engine:
ATR Length
Compression Length
Band Deviation
Keltner Length
Keltner Multiplier
ADX Length
ADX Floor
Expansion Threshold
Realized Variance Length
How to Use This Indicator
Step 1: Read the regime color, cloud, and dashboard state.
Step 2: Check higher-timeframe alignment before trusting directional continuation.
Step 3: Compare structure and VWAP position to see whether price is accepting away from value.
Step 4: Watch squeeze-release transitions closely because those often precede cleaner directional movement.
Step 5: Use the script as a context filter for other tools rather than as a complete trading system.
Indicator Limitations
Pivot structure confirms after the pivot fully forms, which is intentional non-repainting behavior
Higher-timeframe values are confirmed and therefore intentionally delayed
Compression can persist longer than expected in slow auction environments
Directional classification does not guarantee continuation
Originality Statement
This publication is original in the way it integrates baseline structure, confirmed higher-timeframe bias, compression state, realized variance, session VWAP, opening-range acceptance, and pivot structure into one unified regime overlay.
The components are not combined arbitrarily.
They all answer the same core question:
what is the current quality of the auction?
Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice.
Market regimes can shift quickly.
All readings are based on historical and current bar data and do not guarantee future performance.
Always use independent analysis and risk management.
Best Use Cases
Directional trend filtering before using a separate trigger model
Session context analysis during London and New York activity
Volatility transition analysis when compression begins to release
Structure-aware regime filtering for discretionary execution
Interpretation Notes
The strongest readings usually occur when the local stack, confirmed higher-timeframe stack, VWAP position, and volatility expansion agree.
If only one or two of those are aligned, the chart can still move, but the regime read is weaker.
Compression should not be treated as a bearish or bullish state by itself.
It is a warning that the market is withholding directional commitment.
Opening-range acceptance adds value because many directional sessions reveal their intent early.
When price cannot hold outside the opening range, the regime should usually be treated more cautiously.
Publication Notes
This script is intended to be published with a clean chart where the cloud, baselines, opening range, and event labels are clearly visible.
The chart should not be cluttered with unrelated overlays.
If showing an example image, the regime state and at least one structural transition should be identifiable at a glance.
-Made with passion by jackofalltrades
Indicator
Liquidity Cartography [JOAT]JOAT Liquidity Cartography
Introduction
JOAT Liquidity Cartography is an open-source liquidity mapping overlay built to organize where price has swept obvious pools, where imbalance still exists, and where repricing blocks remain active.
It combines prior-day and prior-week references, equal-high and equal-low clustering, sweep-state persistence, displacement logic, imbalance arrays, repricing block arrays, and confluence scoring.
The problem it solves is fragmented liquidity analysis.
Many traders watch prior highs and lows separately from fair value gaps, separately from equal highs and lows, and separately from displacement.
This script turns those references into one coordinated chart map.
That makes it easier to judge whether the market is merely tapping a level, actually sweeping it, or accepting away from it with structure and participation.
The script is useful because it tracks the sequence, not just the level.
A prior-day low by itself is only a reference.
A sweep below it is more informative.
A sweep followed by displacement and structure recovery is a different condition again.
Liquidity Cartography is built around those transitions.
The box system is managed over time.
Zones are extended, aged, and deleted when invalidated or expired.
That keeps the chart focused on currently relevant liquidity rather than permanent drawings.
Core Concepts
1. Daily and Weekly Reference Liquidity
The script tracks PDH, PDL, PWH, and PWL.
These are the major reference pools used to judge whether price is probing obvious liquidity.
= request.security(syminfo.tickerid, "D", [high , low ], lookahead = barmerge.lookahead_on)
= request.security(syminfo.tickerid, "W", [high , low ], lookahead = barmerge.lookahead_on)
2. Equal-High and Equal-Low Tracking
Confirmed pivots are compared in ATR terms to identify clustered highs and lows.
3. Sweep-State Persistence
Sweeps remain active for a configurable confirmation window.
That allows follow-through logic to validate the narrative.
4. Displacement Validation
The script checks whether the reaction away from a pool is meaningful through body expansion and gap behavior.
5. Imbalance Management
Imbalance zones are stored and extended as long as they remain active.
6. Repricing Block Management
Order-block style repricing areas are created after structural breaks and managed over time.
7. Filter Stack
Trend, RVOL, RSI, and session filters can refine signal quality.
8. Confluence Scoring
The indicator counts alignment across the active liquidity narrative.
Features
Prior-day and prior-week levels: major reference pools are tracked
Equilibrium levels: daily and weekly range centers are shown
Equal-high / equal-low detection: clustered pools are identified
Sweep persistence: active sweep context remains available for confirmation
Displacement checks: strong rejection is separated from weak noise
Imbalance boxes: active FVG-style zones extend until mitigation or expiry
Repricing blocks: revisit zones are stored and managed
Filter stack: trend, RVOL, RSI, and session alignment are available
Confluence scoring: current liquidity alignment is summarized
Dashboard: active pool, trend, confluence, and signal state are displayed
Input Parameters
Reference Levels:
Show Prior Day Levels
Show Prior Week Levels
Show Equilibrium
Track Weekly Sweeps
Sweep / Zone Logic:
Structure Length
Sweep Reset Bars
Zone Extension
Equal Pool Tolerance ATR
Zone Max Age
History Limits
Validation:
Require Displacement
Displacement Multiplier
Use Trend Filter
Use RVOL Filter
Use RSI Filter
Use Session Filter
How to Use This Indicator
Step 1: Identify the active daily or weekly liquidity pool.
Step 2: Check whether price only touched the pool or actually swept it.
Step 3: Look for displacement and structure response after the sweep.
Step 4: Watch active imbalances and repricing blocks for later revisits.
Step 5: Use the confluence count to separate weak narratives from stronger ones.
Indicator Limitations
Obvious liquidity pools can be tapped or swept multiple times before direction resolves
Object-heavy overlays may appear dense on low timeframes if many zones remain active
Pivot-based pool detection confirms after the swing completes, which is intentional non-repainting behavior
Zones are analytical references, not guarantees of reversal or continuation
Originality Statement
This script is original in how it combines sweep persistence, equal-pool detection, imbalance inventory, repricing blocks, and confluence scoring into one coordinated liquidity framework.
The components are integrated because they all describe the same process:
price probing liquidity, taking it, and either failing or accepting beyond it.
Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice.
Liquidity reactions can fail.
Sweeps can repeat.
No level or zone guarantees a directional outcome.
Always use independent judgment and risk management.
Best Use Cases
Mapping where obvious daily and weekly liquidity is likely resting
Studying how price behaves after a confirmed sweep
Tracking whether displacement and imbalance support the sweep narrative
Marking revisit zones after structural repricing
Interpretation Notes
A sweep by itself is only the beginning of the story.
The more useful sequence is sweep, displacement, structural response, and active zone support.
Equal-high and equal-low references are helpful because they often identify where liquidity may accumulate before the sweep occurs.
The confluence score should be interpreted as a narrative-strength read, not a promise of reversal.
Publication Notes
This script is intended to be published with a clean chart that clearly shows the active liquidity pool, the current sweep state, and one or two relevant active zones.
Do not overload the publication chart with unrelated drawings.
The value of the visual example should come from clarity rather than chart decoration.
-Made with passion by jackofalltrades
Chart Reading Framework
1. Start with the active daily or weekly pool.
2. Determine whether price only touched or truly swept the pool.
3. Check displacement, break state, and confluence.
4. Review active imbalances and repricing blocks for the next revisit path.
5. Use the dashboard to verify whether the liquidity narrative is strengthening or fading.
Why This Matters
Liquidity logic becomes much more useful when it is organized as a process instead of a list of disconnected levels.
This indicator is meant to help the user see that process clearly.
Open-Source Notes
This script is published open source so users can inspect how sweep persistence, imbalance management, and zone aging are handled.
Who This Is For
This indicator is for traders who want a structured liquidity map rather than isolated levels.
It is especially useful for users who think in terms of sweeps, repricing, and revisit zones.
Summary
JOAT Liquidity Cartography turns scattered liquidity references into one organized live framework.
Its main value is clarity.
Additional Notes
The strongest use of this script comes from following the sequence of events rather than reacting to a single box or line in isolation.
Clean publication images should make that sequence obvious.
Indicator
Meridian Liquidity Ledger [JOAT]Meridian Liquidity Ledger
Introduction
Meridian Liquidity Ledger is an open-source Pine Script v6 indicator that maps directional liquidity shelves across a rolling price window. It separates buy-side and sell-side volume concentration, ranks shelves by relative participation strength, extends the most relevant levels through the chart, and summarizes the current liquidity ledger in an institutional-style dashboard.
The problem this indicator solves is density. A standard volume profile can show where volume accumulated, but it often does not express directional participation clearly enough for traders who want to know whether the market built more inventory above or below a reference anchor. Meridian Liquidity Ledger addresses that by classifying shelves relative to an adaptive reference price and showing whether each shelf behaves more like a buy shelf or a sell shelf.
The script is intended for traders who think in terms of inventory, acceptance, and liquidity stacking. It does not try to replace execution logic. It provides a map of where volume concentrated across the rolling ledger window, where the point of control sits, how dominant the buy-side and sell-side shares are, and how far price has stretched from the anchor and point of control in ATR terms.
Because the heavy rendering happens only on the last visible bar, the indicator aims to deliver rich visual output without turning into an unreadable chart wall. Historical shelf zones, profile bars, dotted spines, the point of control extension, and the dashboard all work together to make the liquidity map readable rather than overwhelming.
Core Concepts
1. Adaptive Reference Price
At the center of the ledger is a reference engine built from an EMA and a deviation adjustment. The script can use a plain EMA reference or a slight adaptive band depending on the user setting.
float emaRef = ta.ema(close, referenceLength)
float rangeDev = ta.stdev(close, deviationLength) * referenceBias
float synthetic = close >= emaRef ? emaRef - rangeDev * 0.20 : emaRef + rangeDev * 0.20
This reference acts as the ledger divider. Shelves above the reference are treated as sell-side inventory zones. Shelves below the reference are treated as buy-side inventory zones.
2. Rolling Price-Volume Binning
The script scans a configurable lookback window, divides the full price range into bins, and accumulates total, buy-side, and sell-side volume in each bin. This creates the ledger foundation.
Instead of looking only at price touches, the indicator asks where actual traded volume concentrated across the window. That gives each shelf more meaning than a simple horizontal line.
3. Shelf Strength Ranking
Each bin’s relative strength is measured as a percentage of the maximum bin volume in the window. Only shelves above the minimum strength threshold are rendered. That keeps weak background noise from cluttering the chart.
This is important because the point of the ledger is not to show every possible micro shelf. It is to show the shelves that stood out meaningfully within the chosen lookback.
4. Shelf History And Spine Extension
For each active shelf, the script estimates how far left the midpoint price was last crossed, then draws a historical zone, a profile bar on the right, and an optional dotted spine through the shelf midpoint. This creates both historical and forward reference in a single visual package.
The effect is similar to having a compressed split-profile, a shelf map, and a point-of-interest extension all in one indicator.
5. Point Of Control And Ledger Balance
The point of control is the strongest single shelf in the active ledger. The script can extend that level to the right and label it. At the same time, the dashboard tracks buy share, sell share, total imbalance, top-shelf concentration, and ATR distance to both the reference and the point of control.
This makes the ledger useful not just visually but quantitatively.
Features
Directional liquidity shelves: Separates bins into buy-side and sell-side inventory relative to the reference anchor
Adaptive reference engine: Uses EMA and deviation bias to frame the ledger around a contextual central price
Rolling volume ledger: Accumulates total, buy, and sell participation across a user-defined window
Shelf strength filter: Displays only bins strong enough to matter
Historical shelf zones: Shows where active shelves projected through the recent chart history
Profile bars on the right edge: Renders compact shelf bars for immediate strength comparison
Shelf spines: Optional dotted lines extend each shelf midpoint through the chart
Point-of-control extension: Marks and extends the strongest shelf in the current ledger
Institutional dashboard: Displays buy share, sell share, imbalance, POC, concentration, shelf count, and ATR distance metrics
Confirmed-bar alerts: Includes buy dominance, sell dominance, and anchor stretch conditions
Visual Elements
Historical shelf zones: These show where strong bins projected back through the active ledger window
Right-edge profile bars: Compact bars make it easy to compare shelf strength without reading every label
Shelf spines: Optional dotted midpoint lines extend the key shelf levels through the chart
Anchor bands: Inner and outer reference bands help frame whether price is balanced or stretched
POC label and extension: The strongest shelf remains visible as the primary ledger reference
Best Practices
Use the ledger to frame where inventory is concentrated before applying your own execution logic
Watch the relationship between price, the anchor, and the point of control to judge balance versus stretch
Favor shelves that remain visually dominant even as the rolling window updates
Remember that shelf color and position are contextual to the current anchor, not absolute predictions of support or resistance
Use the buy-share and sell-share readings to understand ledger skew before reacting to a single shelf in isolation
Input Parameters
Ledger Window:
Lookback Bars: Sets the rolling history used to build the ledger
Bin Count: Controls the price segmentation granularity
Profile Width: Controls the maximum width of the profile bars on the right
Shelf Padding: Adjusts the spacing between price and the right-edge profile
Reference Engine:
Reference EMA Length: Sets the central EMA anchor
Deviation Length: Controls the standard-deviation calculation for adaptive biasing
Reference Bias: Scales the adaptive offset around the EMA
Use Adaptive Anchor Band: Chooses between the synthetic anchor and plain EMA reference
Shelf Filters And Display:
Minimum Shelf Strength %: Removes shelves below the selected threshold
Show Historical Shelf Zones: Toggles the historical box layer
Extend Point Of Control: Projects the strongest shelf forward
Show Shelf Spines: Enables midpoint extension lines
Show Dashboard: Enables the top-right ledger panel
How to Use This Indicator
Step 1: Start With Buy Share, Sell Share, And Imbalance
The dashboard tells you how the rolling ledger is currently distributed. If buy share dominates, the ledger is skewed below or through the anchor in a way that favors buy-side participation. If sell share dominates, the opposite is true.
Step 2: Locate The Point Of Control
Find the extended POC line. This is the strongest shelf in the current window. It often acts as the most important reference price when judging whether the market is balanced, stretched, or returning to its highest concentration zone.
Step 3: Compare Price To The Reference Anchor
The reference and its surrounding bands tell you whether price is trading above, below, or far away from the ledger center. This is useful for deciding whether the market is exploring beyond inventory or still trading within its main concentration zone.
Step 4: Focus On The Strongest Shelves
The most useful shelves are usually the ones with the greatest width, clearest labels, and strongest color intensity. Those are the bins where the rolling window concentrated the most inventory.
Step 5: Use The Ledger As A Context Map
Meridian Liquidity Ledger is best used as a map of where liquidity stacked and how it is distributed. Pair it with your own entry logic rather than treating any single shelf as an automatic trade signal.
Indicator Limitations
The ledger is rolling-window dependent, so shelf hierarchy can change as older bars leave the calculation window
A strong shelf does not guarantee support or resistance will hold on the next interaction
Directional buy and sell classification is based on bar-level bullish versus bearish volume attribution, which is an approximation rather than true order-flow data
On illiquid symbols or very small windows, shelf concentration can become unstable and less informative
Originality Statement
Meridian Liquidity Ledger is original in the way it turns a rolling bin-based volume map into a directional liquidity shelf system with adaptive anchoring. It is not a generic profile overlay:
It separates buy-side and sell-side participation relative to an adaptive reference rather than showing only total profile mass
It combines historical shelf zones, right-edge shelf bars, shelf spines, and POC extension in one integrated view
It frames liquidity through dashboard metrics such as imbalance, concentration, and ATR stretch rather than pure histogram display
It creates a practical shelf map for context instead of relying on a single profile style or one static reference
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. Liquidity shelves and point-of-control levels are descriptive references built from rolling historical data. They do not guarantee future support, resistance, or directional continuation. Always use independent judgment and proper risk management.
-Made with passion by jackofalltrades
Indicator
Covenant Regime Atlas [JOAT]Covenant Regime Atlas
Introduction
Covenant Regime Atlas is an open-source Pine Script v6 market-regime indicator built to classify directional state through trend, expansion, persistence, and retest quality. Its purpose is not to predict the next trade by itself, but to create a durable bias layer that tells the trader whether the market is developing a bullish regime, a bearish regime, or a maturing directional environment worth respecting.
The problem this script solves is context instability. Many traders can spot a moving-average crossover or a burst in ATR, but that alone does not answer whether the regime is actually mature, whether momentum has real separation, or whether recent retests are behaving consistently with the dominant trend. Covenant Regime Atlas addresses this by blending multiple regime components into one overlay and dashboard.
The script uses a dual-mid framework derived from EMA and HMA references, ATR-scaled cloud and envelope bands, persistence measurement, heat normalization, slope impulse, and retest memory. This lets it move beyond a simple bullish-versus-bearish cross and instead describe whether the regime is developing, mature, expanding efficiently, or internally cooling.
The result is an indicator for traders who want a cleaner read of bias before interpreting any trigger tool. It is especially useful as a regime filter for execution indicators and strategies that should behave differently in mature directional flow versus unstable transition periods.
Core Concepts
1. Directional Mid Versus Structural Mid
The script creates a fast directional midpoint and a slower structural midpoint using blended EMA and HMA references. The spread between those two curves forms the backbone of regime direction.
float directionalMid = math.avg(emaFast, hmaFast)
float structuralMid = math.avg(emaSlow, hmaSlow)
bool trendBull = directionalMid > structuralMid
This gives the regime engine more shape than a single moving average crossover. The directional mid measures active flow. The structural mid measures slower context.
2. Regime Strength Through Separation And Heat
Regime strength is calculated from ATR-normalized spread plus the distance of normalized heat from its midpoint. In other words, the regime is strongest when the fast and slow structures are well separated and price is also positioned decisively within its recent range.
This helps avoid overvaluing tiny directional crosses that occur with little actual separation or energy.
3. Persistence And Maturity
Every regime needs time to prove itself. The script counts how long the current directional condition has been intact and compares that against a user-defined persistence floor. Once the threshold is met, the regime is treated as mature rather than merely developing.
This matters because a fresh directional flip is different from a directional condition that has held for many bars and survived multiple retest opportunities.
4. Retest Memory
After a mature regime forms, the indicator watches for controlled retests of the directional midpoint. Bull retests occur when price revisits the midline from above and closes back above it. Bear retests use the opposite condition. The last retest is stored as a dotted line and extended forward until it becomes irrelevant.
This gives the trader a simple memory of where the market most recently confirmed trend participation.
5. Pulse, Expansion, And Efficiency
The script also measures volatility expansion, slope impulse, heat drift, trend separation percentage, and directional travel efficiency. These metrics allow the dashboard to distinguish between a mature regime that is expanding forcefully and one that is mature but internally cooling or grinding.
Features
Bull and bear regime classification: Uses fast-versus-slow blended midpoints to define directional control
Maturity logic: Distinguishes developing regimes from mature ones using persistence counting
ATR-scaled cloud and envelope: Frames the current directional corridor directly on the chart
Retest memory engine: Stores the latest mature-regime retest level for forward reference
Initiation band: Preserves the regime start envelope so traders can judge distance from the original launch zone
Pulse ribbon: Adds a compact visual band around price to reflect internal heat conditions
Regime backdrop shading: Tints the chart according to the active directional state
Detailed dashboard: Displays strength, heat, persistence, expansion, slope pulse, retest distance, maturity, efficiency, and more
Confirmed-bar alerts: Includes mature bias, retest, expansion, continuation, efficient trend, and heat-reset conditions
Data-window outputs: Exposes regime internals for systematic reading or comparison
Visual Elements
Directional cloud: The gap between the fast and slow regime mids shows whether the market is operating with clean separation
Envelope bands: ATR-based boundaries help frame the active directional corridor around price
Initiation band: The regime launch area stays visible so users can measure how far the trend has traveled from origin
Retest line memory: The latest confirmed retest is preserved as a direct chart reference
Backdrop and pulse ribbon: Context shading and the pulse band make regime character readable without overloading the chart
Best Practices
Treat mature regimes differently from developing ones because the same trigger can behave very differently in each state
Watch heat drift when a regime remains mature but starts losing internal energy
Use retest memory to frame participation zones rather than chasing every extension away from the midline
Give more weight to regimes that show both persistence and expansion instead of one without the other
Use the atlas as a context engine first and an alert source second
Input Parameters
Trend Engine:
Fast Length: Sets the faster directional reference
Slow Length: Sets the slower structural reference
Heat Window: Defines the range-normalization window for heat calculations
ATR Length: Controls volatility normalization
Cloud Width Factor: Sets the width of the directional cloud and envelope
Retest Engine:
Show Retest Memory: Toggles retest storage and line rendering
Retest Cooldown Bars: Prevents retests from firing too frequently
Persistence Floor: Sets how many bars are required before a regime is considered mature
Show Initiation Band: Displays the preserved start range of the current regime
Maturity Window: Controls maturity scaling and travel-efficiency measurements
Display:
Show Dashboard toggle
Show Regime Backdrop toggle
Show Pulse Ribbon toggle
Independent bull, bear, neutral, and panel colors
How to Use This Indicator
Step 1: Read Regime Tag And Strength
Begin with the dashboard’s regime tag. It tells you whether the market is bullish or bearish and whether that state is still developing or already mature. Pair that with the strength reading to avoid confusing a weak directional bias with a strong one.
Step 2: Check Persistence And Expansion
Persistence tells you how long the regime has survived. Expansion tells you whether volatility is supporting the move. A mature regime with positive expansion usually deserves more respect than a new regime with weak expansion.
Step 3: Use Retest Memory As A Structural Anchor
When the retest line is present, it marks the last meaningful participation check inside the trend. That line can help frame whether the current move is still building from a healthy base or drifting too far away from supportive structure.
Step 4: Watch Heat Drift And Efficiency
Heat drift helps show whether the regime is internally warming or cooling. Efficiency tells you whether directional travel has been orderly. These readings are helpful when deciding whether the trend still looks clean or is becoming unstable.
Step 5: Use It As The Bias Layer For Other Tools
Covenant Regime Atlas is best used as a bias filter. It helps define whether you should be thinking continuation, pullback participation, or caution. Pair it with your own trigger logic rather than using the regime alone as a full trading plan.
Indicator Limitations
A developing regime can fail before reaching maturity, especially in choppy markets
Retest memory is useful for context, but the stored retest level is not guaranteed to hold on future tests
Efficiency and heat drift are descriptive metrics, not predictive guarantees of continuation
The indicator can still classify a directional state during periods where execution conditions are poor for actual trading
Originality Statement
Covenant Regime Atlas is original in the way it blends trend separation, maturity, retest memory, expansion, and efficiency into a unified regime overlay. It is not just a moving-average cloud with added cosmetics:
It separates directional identity from maturity, allowing the user to distinguish developing and established regimes
It stores retest memory as a living structural feature instead of relying only on static crossover logic
It combines heat, slope, expansion, and efficiency into one dashboard so regime quality can be judged from multiple dimensions
It preserves the initiation band of the current regime, which gives context that typical trend overlays do not maintain
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. Regime readings describe current market structure and internal state based on historical prices. They do not guarantee future movement or profitable trading decisions. Always use independent judgment and proper risk management.
-Made with passion by jackofalltrades
Indicator
Compression Shift Index [JOAT]Compression Shift Index
Introduction
Compression Shift Index is an open-source Pine Script v6 indicator designed to detect transitions between compression and displacement. It measures whether price is storing energy in a tight state, whether that energy is beginning to release directionally, and whether the release is supported by enough pressure and travel efficiency to matter.
The problem this indicator solves is timing. Traders often recognize trend after the move is already mature, or they chase weak momentum bursts that never become true displacement. Compression Shift Index is built to distinguish between quiet compression, directional pressure, and confirmed shift conditions so the user can see whether price is merely active or whether a real state change is underway.
The script lives in its own pane, but it also projects tactical shift ranges onto the main chart. That means it can work as both a state engine and a visual execution aid. The pane handles classification and scoring. The overlay range preserves the high, low, and midpoint of the most recent active shift so price can be read against the trigger zone directly on the chart.
Rather than relying on one oscillator reading, the script blends moving-average spread, RSI of momentum, ATR expansion, path efficiency, and compression mathematics. The result is not a conventional trend tool. It is a state-transition tool built to show when stored pressure is becoming directional opportunity.
Core Concepts
1. Compression Score
Compression is measured by comparing the recent price range to ATR-normalized movement over a configurable window. As the range contracts relative to expected volatility, the compression score rises.
float compressionRatio = safeDiv(ta.highest(high, compressionLength) - ta.lowest(low, compressionLength), ta.atr(compressionLength) * compressionLength) * 100.0
float compressionScore = clamp(100.0 - compressionRatio, 0, 100)
This means the script is not labeling compression by candle size alone. It evaluates the market relative to its own volatility conditions.
2. Displacement Score
Displacement is measured through moving-average spread magnitude, RSI-based pressure away from neutrality, and fast-versus-slow ATR expansion. A high displacement score means price is no longer just compressed. It is pushing with enough directional force to deserve attention.
3. Pressure Confirmation
Directional pressure requires more than a large reading. Bullish pressure needs positive spread and price acceptance above the fast EMA. Bearish pressure requires the opposite. This creates a separation between raw movement and directional pressure that is actually aligned with the current path of price.
4. Shift Range Memory
When a confirmed bull or bear shift occurs, the script stores the initiating bar’s high and low, then extends that range for a configurable number of bars. As new bars arrive, the active range updates its upper and lower boundaries.
This transforms the shift from a momentary signal into a tactical map. The trader can judge whether price is holding inside the shift range, stretching away from it, or failing back through the structure.
5. Quality And Travel Efficiency
Not every shift is equal. The script measures path efficiency by comparing net travel to the cumulative path traveled across the efficiency window. That helps distinguish efficient directional release from noisy back-and-fill movement.
When displacement, pressure, and efficiency all align, the quality score rises. This is especially useful for separating impulsive continuation from unstable burst behavior.
Features
Compression and displacement state engine: Differentiates quiet conditions from directional release
Bull and bear shift detection: Confirms directional shifts only after displacement and pressure criteria align
Tactical overlay range: Projects the active shift high, low, and midpoint onto the main chart
Ribbon bias display: Adds a visual ribbon showing directional pressure inside the pane
Travel efficiency scoring: Measures whether displacement is clean or noisy
State backdrop and candle tinting: Tints both pane and chart context according to the current state
Detailed dashboard: Publishes compression, displacement, ATR ratio, heat, range, stretch, velocity, efficiency, quality, and persistence
Confirmed-bar alerts: Includes compression, bull shift, bear shift, pressure, release, fade, and quality-state alerts
Data-window exports: Makes many internal scores accessible without adding extra plots to the pane
Range-aging logic: Tracks how long the active shift has been in effect
Visual Elements
Pane state curves: The net shift, compression, and displacement lines provide a layered read of current state
Ribbon bias fill: The pane ribbon helps show whether directional pressure is leaning bullish or bearish before full shift confirmation
Overlay shift range: The active high, low, and midpoint are projected onto the price chart for tactical context
Backdrop and candle tinting: The indicator colors both pane and chart state to make transitions easier to identify at a glance
Dashboard diagnostics: The top-right panel summarizes metrics that would otherwise require several separate indicators
Best Practices
Wait for displacement to dominate compression before assuming a move has truly released
Use high-quality shifts as higher-priority context than low-efficiency state changes
Read the active shift range as a tactical map, not as a guarantee that price will respect every boundary
If pressure improves but displacement remains weak, treat the move as developing rather than already established
Use the state engine to filter your existing entries instead of trying to trade every alert in isolation
Input Parameters
Signal Engine:
Fast MA Length: Sets the fast trend reference
Slow MA Length: Sets the slow trend reference
Compression Window: Defines the state lookback for range contraction
RSI Length: Sets the smoothing period for momentum pressure evaluation
Momentum Length: Defines the raw momentum lookback
Thresholds:
Compression Threshold: Determines how compressed the market must be to count as compressed
Displacement Threshold: Determines how forceful the move must be to count as a shift
Shift Hold Bars: Controls how long the active shift range remains alive
Efficiency Length: Sets the path-efficiency lookback
Show Trigger Range: Toggles the projected overlay range on the chart
Visual Language:
Bull and bear color pairs
Neutral color and panel background
Show Dashboard toggle
Show State Backdrop toggle
Show State Ribbon toggle
How to Use This Indicator
Step 1: Identify The Current State
Start with the dashboard and pane. If compression is dominant, the market is still storing energy. If bull or bear pressure is present, directional force is building. If a bull or bear shift is confirmed, the state transition has already occurred.
Step 2: Compare Compression To Displacement
The most useful read is not the absolute number alone, but the relationship between compression and displacement. When compression is high and displacement is still low, the market is coiled. When displacement overtakes compression, the release phase is gaining control.
Step 3: Use The Active Shift Range
Once a shift is active, watch the projected upper, lower, and midpoint lines on the main chart. These define the tactical zone created by the displacement event. Price behavior around that range often provides better context than the signal bar alone.
Step 4: Check Quality And Efficiency
A high-quality state means the release is not only directional but also relatively efficient. If quality is weak, treat the shift more cautiously because the move may be noisy or unstable.
Step 5: Use It As A State Filter
Compression Shift Index is most effective as a state filter for your own process. It can help you avoid forcing breakout logic during compression and avoid fading a move that is still in active displacement.
Indicator Limitations
Compression does not guarantee that a strong displacement event will follow immediately
A shift can fail quickly if the broader market context does not support follow-through
Travel efficiency can lag during early release phases because noisy price action is still being absorbed into the lookback
The active shift range is a tactical reference zone, not an automatic support or resistance guarantee
Originality Statement
Compression Shift Index is original in the way it turns compression, displacement, pressure, efficiency, and range memory into one unified transition model. It is not simply an oscillator blend for cosmetic effect:
It frames compression and release as a state transition rather than a single threshold cross
It preserves the originating shift range on the main chart, which links pane analysis to execution context
It includes efficiency and velocity metrics that help separate orderly displacement from noisy expansion
It uses a dashboard that summarizes the full state stack rather than forcing the user to infer everything from one line
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. Compression and displacement readings describe market state, not guaranteed future direction. Markets can remain compressed longer than expected or reverse immediately after a shift appears. Always use independent judgment and proper risk management.
-Made with passion by jackofalltrades
Indicator
Auction Structure Ledger [JOAT]Auction Structure Ledger
Introduction
Auction Structure Ledger is an open-source Pine Script v6 indicator that transforms confirmed pivot behavior into structured auction zones. Instead of treating every swing high and swing low as equally important, the script looks for clustered defended pivots, measures how much volume-confluence exists at those prices, and converts the result into support and resistance shelves that persist, update, and eventually retire as price accepts or fails them.
The problem this indicator solves is structural ambiguity. Many charts contain repeated pivot noise that does not deserve equal visual weight. A single swing high does not automatically represent meaningful supply, and a single swing low does not automatically represent meaningful demand. Auction Structure Ledger filters pivot activity through clustering logic and local volume-confluence so the chart emphasizes defended areas where auction acceptance and rejection are more likely to matter.
The script is useful for traders who think in terms of accumulation, distribution, acceptance, and failure. It does not attempt to forecast the future from one oscillator reading. It organizes the chart around defended reference zones, tracks how price behaves around them, and summarizes the current auction state in a way that can support discretionary analysis or other rule-based systems.
Because it combines pivot clustering with a volume-confluence layer, the indicator is not simply painting boxes around old highs and lows. It is trying to identify where the market repeatedly acknowledged a price region and whether that region still behaves as support or resistance.
Core Concepts
1. Pivot Confirmation And Structural Timing
The script uses `ta.pivothigh()` and `ta.pivotlow()` to confirm swing highs and lows with a symmetric lookback. This means zones are only created after the pivot is actually confirmed, which avoids the false certainty that comes from drawing structure before the right-side bars exist.
float pivotHigh = ta.pivothigh(high, pivotLength, pivotLength)
float pivotLow = ta.pivotlow(low, pivotLength, pivotLength)
This is deliberate non-repainting behavior. The structure appears later than the original pivot candle, but it appears only after the market has confirmed the swing.
2. Clustered Defense Rather Than Single-Pivot Noise
Once a pivot appears, the script scans a configurable cluster window to count how many nearby pivots formed within an ATR-based tolerance. That cluster count becomes part of the zone’s strength score.
This is what gives the ledger its auction logic. A zone becomes more meaningful when the market keeps defending the same approximate level rather than printing a one-off pivot and moving on.
3. Volume-Confluence Layer
The script builds a rolling volume distribution across the current price window and checks how much of that distribution sits at the pivot price. That reading is normalized into a confluence percentage.
In practice, this means a clustered pivot with low local volume-confluence is treated differently from a clustered pivot that sits in a high-activity price region. The first may represent weak structure. The second may represent a more meaningful auction shelf.
4. Support And Resistance Shelf Construction
When a pivot passes the cluster criteria, the script creates a zone with ATR-based width. Resistance shelves are built above price with an offered profile. Support shelves are built below price with a bid profile. Each shelf contains a body, a spine line through the midpoint, and an information label summarizing the zone.
The shelf width is not arbitrary. It scales with ATR so zones remain proportionate across different volatility conditions and instruments.
5. Acceptance And Failure Tracking
After a zone is created, the script continues monitoring it. If price trades within the zone and remains inside it, the shelf is counted as accepted. If price closes through the invalidation side of the shelf, it is counted as failed and eventually removed after a short lifecycle buffer.
That behavior matters because the market is not static. A valid shelf today can become irrelevant after repeated acceptance or a decisive failure.
Features
Cluster-confirmed auction shelves: Builds zones only when pivots cluster within an ATR-based tolerance
Support and resistance separation: Maintains bid-side and offered-side structure independently
Volume-confluence scoring: Measures how much rolling price-volume concentration supports each shelf
ATR-scaled zone width: Keeps shelf geometry adaptive to volatility instead of fixed-width boxes
Acceptance and failure tracking: Continues scoring shelves after creation as price interacts with them
Confluence ribbon: Displays whether current price is trading in a high-confluence region of the rolling ledger
Nearest distance metrics: Shows the ATR distance to the closest active support and resistance shelves
Institutional dashboard: Summarizes support count, resistance count, acceptance rate, failure rate, bias, and strongest zone
Confirmed-bar alert set: Includes bullish ledger, bearish ledger, fresh support, and fresh resistance alerts
Data-window outputs: Exposes structure counts and confluence values for additional interpretation
Visual Elements
Auction shelves: Each zone is rendered as a structured body rather than a simple line so the user can read width and tolerance clearly
Shelf spine: A dotted midpoint line marks the internal balance area of each shelf
Confluence ribbon: The ribbon around price shows whether the current location overlaps with strong rolling confluence
Responsive color logic: Support, resistance, touched, and failed states each alter the way the shelf is displayed
Compact info labels: Each zone carries its own context label so the chart remains interpretable without opening settings
Best Practices
Give more weight to shelves that combine both repeated pivot defense and strong volume-confluence
Watch how price behaves on the first return to a new shelf before assuming the level is strong
Treat accepted zones and failed zones differently because they tell very different auction stories
Use nearest support and resistance ATR distances to understand whether price is extended or structurally balanced
Combine the ledger with your own trigger logic rather than assuming shelf presence alone is a complete trade plan
Input Parameters
Structure Engine:
Pivot Length: Sets how many bars are required on each side of a pivot to confirm it
ATR Length: Controls the volatility measure used for zone sizing and tolerance logic
Shelf ATR Width: Sets the width of each auction shelf relative to ATR
Cluster Window: Defines how far back the script scans for repeated nearby pivots
Cluster ATR Tolerance: Determines how close pivots must be to count as the same structural cluster
Volume Confluence:
Volume Window: Sets the rolling price-volume study range
Volume Bins: Controls the granularity of the confluence distribution
Confluence Strength Threshold: Defines when the ribbon should represent strong price-volume overlap
Show Confluence Ribbon: Toggles the contextual ribbon around price
Display:
Show Dashboard: Enables the top-right structural summary
Color inputs: Allow independent styling for support, resistance, neutral, and panel colors
How to Use This Indicator
Step 1: Start With The Bias Row
The dashboard summarizes whether active support shelves outnumber resistance shelves, whether the market is balanced, and how strong the current ledger looks. This gives immediate context before focusing on individual zones.
Step 2: Identify The Strongest Active Shelf
Check the strongest zone reading and visually locate the shelf with the most emphasis. This is often the most useful structural reference when price approaches an auction boundary.
Step 3: Watch Acceptance Versus Failure
Acceptance means price is interacting with the zone without invalidating it. Failure means price has moved through the wrong side of the shelf. A high failure rate weakens the reliability of the current ledger.
Step 4: Use The Nearest ATR Distances
The dashboard shows the ATR distance to the nearest support and resistance shelves. That helps frame whether price is sitting directly on a structure reference or is trading between meaningful levels.
Step 5: Combine With Your Own Execution Model
Auction Structure Ledger is most useful as a context layer. It defines where defended structure exists. It does not decide entries or exits for you. Use the zones to frame reactions, continuation decisions, or risk placement inside your own process.
Indicator Limitations
Pivot-based structure is inherently delayed because the script waits for right-side confirmation before creating a shelf
A clustered pivot region can still fail immediately if broader market flow overwhelms the local auction structure
Rolling volume-confluence is context-dependent and can shift as the lookback window evolves
Zones are analytical references, not guarantees that support or resistance will hold on the next test
Originality Statement
Auction Structure Ledger is original in the way it turns clustered pivot defense and rolling volume-confluence into a persistent auction map. This is more than a standard support and resistance overlay:
It requires repeated pivot behavior before treating a level as meaningful structure
It combines cluster count and volume-confluence into a unified strength score for each shelf
It tracks acceptance and failure after creation so zones remain part of a living ledger rather than a static drawing layer
It presents the structure through a bias dashboard and confluence ribbon that helps translate zone behavior into usable chart context
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. Support and resistance shelves represent historical auction behavior, not guaranteed future turning points. Markets can accept, reject, or ignore any level without warning. Always use independent judgment and appropriate risk management.
-Made with passion by jackofalltrades
Indicator
Aperture Imbalance Register [JOAT]Aperture Imbalance Register
Introduction
Aperture Imbalance Register is an open-source Pine Script v6 indicator built to detect, rank, and manage directional imbalance zones in a more structured way than a basic fair value gap overlay. Instead of marking every raw three-candle gap and leaving the trader to judge which ones matter, the script builds a register of active bullish and bearish imbalance zones, measures their internal lower-timeframe participation, assigns a quality score, tracks mitigation progress, and keeps the resulting stack visible with a compact institutional-style dashboard.
The problem this indicator solves is selectivity. Many imbalance tools show too many zones, retire them too slowly, or provide no context for which inefficiencies are likely to matter. Aperture Imbalance Register focuses on the active imbalance stack and grades each register by combining gap displacement with lower-timeframe volume participation. That lets the trader see not only where imbalance exists, but how concentrated the internal participation was when the zone formed.
The script is designed for traders who use imbalance as part of a broader market-structure process. It is not trying to predict every reversal. It is designed to answer practical chart questions: where are the open directional inefficiencies, how strong are they, how much of each zone has been mitigated, and whether the current stack favors bullish or bearish continuation pressure.
Because the script uses Pine Script v6 lower-timeframe arrays, the register is not just a visual box painter. It uses lower-timeframe intrabar data to build participation histograms inside each zone, identify the local point of control of the imbalance, and display whether a register still has open space or has already been substantially repaired by later price action.
Core Concepts
1. Confirmed Bullish and Bearish Gap Detection
The script detects a bullish register when the current low is above the high from two bars ago and the middle bar confirms continuation. It detects a bearish register with the inverse condition. A sigma-style filter based on the statistical size of the gap helps reject weaker dislocations:
bool confirmedBullGap = enoughGapHistory and barstate.isconfirmed and low > high and high > high and bullGapSigma > gapSigma
bool confirmedBearGap = enoughGapHistory and barstate.isconfirmed and high < low and low < low and bearGapSigma > gapSigma
This means the indicator is not plotting every minor price skip. It requires both structural displacement and a size filter before a new register is added to the active stack.
2. Lower-Timeframe Participation Ranking
Once a gap is confirmed, the script requests lower-timeframe `close` and `volume` data using `request.security_lower_tf()` and maps intrabar participation into configurable bins across the zone. That participation profile is then used to score the register.
This matters because not all imbalances are equal. Some form with broad participation spread across the full zone. Others form with concentrated acceptance in one portion of the gap. The participation histogram helps identify where the market transacted most heavily inside the register and where the imbalance may be most meaningful on a retest.
3. Quality Scoring and Register Prioritization
Each register receives a quality score derived from the concentration of lower-timeframe participation plus the size of the gap sigma event. Higher-quality zones get more visual emphasis, stronger edges, and greater dashboard influence.
In practice, this creates a hierarchy. The trader does not need to treat every imbalance equally. The register list naturally emphasizes the zones with stronger displacement and denser participation.
4. Mitigation Tracking and Lifecycle Management
Open imbalance is not enough. What matters is whether the zone remains unfilled. The script measures mitigation depth as price trades back into the register and updates the display from open to partial mitigation to fully filled. When the `Retire Fully Mitigated Zones` option is enabled, fully repaired or invalidated zones are removed from the active stack.
This keeps the chart cleaner and prevents stale boxes from dominating the view after the market has already rebalanced the inefficiency.
5. Participation Histogram and Local POC
Each register can display a small internal histogram showing participation intensity by price segment. The maximum participation bin defines the register’s local point of control, and that level is drawn as a line through the zone.
This gives the register more structure than a plain box. Instead of just seeing the outer bounds, the trader can see where activity concentrated inside the imbalance.
Features
Bullish and bearish imbalance registers: Detects confirmed gap-style inefficiencies in both directions using confirmed-bar logic
Lower-timeframe participation model: Uses lower-timeframe arrays to rank each register by internal participation rather than gap presence alone
Quality scoring: Combines participation concentration and sigma displacement into a single register score
Mitigation tracking: Continuously estimates how much of each register has been repaired by later price action
Automatic lifecycle retirement: Fully mitigated or invalidated zones can be retired automatically to reduce clutter
Internal histogram bars: Optional profile bars show where lower-timeframe participation concentrated inside the zone
Point-of-control line: Each register maintains a local participation midpoint for tactical reference
Midline support: Optional dotted midpoint line helps visualize the fair center of the register
Dashboard summary: Displays bull count, bear count, mitigated count, average quality, best quality, stack count, and bias
Data-window exports: Publishes stack bias, quality sum, and active register count for downstream reading
Visual Elements
Register boxes: The outer body of each imbalance zone shows whether price is dealing with bullish or bearish open inefficiency
Participation bars: Optional internal profile bars highlight where lower-timeframe participation concentrated inside the register
Midline and POC references: The centerline and participation high point help identify the most important sub-levels inside the zone
Adaptive edge intensity: Stronger registers receive more visual emphasis than weaker ones
Mitigation labels: Each register updates from open to mitigation to filled so the chart communicates lifecycle state directly
Best Practices
Use the register stack as context, then let your own execution model decide entries
Favor high-quality registers that align with broader structure instead of reacting to every new zone
Treat partial mitigation as a sign that some imbalance has already been repaired, not as automatic invalidation
Be especially careful on symbols with poor lower-timeframe data because internal participation quality can degrade
If the active stack flips from one side to the other quickly, read that as changing imbalance context rather than a guaranteed reversal signal
Input Parameters
Intrabar Data:
Auto Lower Timeframe: Automatically derives a lower timeframe for participation analysis
Custom Lower Timeframe: Allows manual lower-timeframe selection when auto mode is disabled
Calculation Depth: Controls how much lower-timeframe history is requested
Imbalance Detection:
Gap Sigma Filter: Sets the minimum displacement strength required for a new register
Participation Bins: Controls how many internal profile slices are built inside each zone
Max Active Registers: Limits how many open registers remain on the chart at once
Retire Fully Mitigated Zones: Removes zones once they are effectively repaired or invalidated
Lifecycle And Display:
Extend Active Zones: Extends open registers to the right for forward reference
Show Participation Histogram: Displays the internal lower-timeframe bar profile
Show Midline: Draws a dotted centerline through each register
Show Dashboard: Enables the top-right summary panel
How to Use This Indicator
Step 1: Read the Stack Bias
Start with the dashboard. Compare the bullish and bearish active register counts and note the stack bias value. A positive bias means bullish imbalance is dominating the active structure. A negative bias means bearish imbalance is dominating.
Step 2: Focus on Quality, Not Quantity
Use the average and strongest quality readings to judge whether the active stack is meaningful. A chart with fewer but stronger registers is often more actionable than a chart with many weak inefficiencies.
Step 3: Watch Mitigation Progress
Each active register updates from open to partial mitigation to filled. Open registers represent unresolved inefficiency. Deeply mitigated registers have already lost part of their tactical edge.
Step 4: Use The Internal Profile
When the participation histogram is enabled, look for bins that concentrated most of the intrabar volume. The local point of control and denser profile segments often become the most useful retest references inside the wider zone.
Step 5: Apply It As Context, Not A Standalone Trigger
Aperture Imbalance Register works best as a context layer. It helps frame whether an imbalance stack is supporting continuation or warning of unresolved opposing pressure. Use it with your own structure, execution, and risk model.
Indicator Limitations
Because the script uses lower-timeframe data requests, realtime behavior can differ slightly from historical behavior as new intrabars accumulate inside the live bar
Mitigation does not guarantee reversal or continuation. It only shows how much of the zone has been traded back through
A strong register can still fail if broader market structure, liquidity, or volatility conditions change
On very low-history charts or symbols with thin lower-timeframe data, participation quality can be less informative than on liquid instruments
Originality Statement
Aperture Imbalance Register is original in the way it treats imbalances as managed registers rather than passive boxes. The script is published because it contributes more than a generic fair value gap mashup:
It ranks each imbalance with a lower-timeframe participation model instead of drawing every gap with equal importance
It combines gap displacement, intrabar participation, mitigation tracking, and internal histogram rendering into a single workflow
It maintains a tactical register stack with lifecycle management rather than leaving stale zones permanently on the chart
It exposes stack-level information through a dashboard and data-window fields so the indicator can be read systematically
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. Imbalance zones are analytical references based on historical price behavior and lower-timeframe participation, not guarantees of future reaction. Markets can rebalance, ignore, or invalidate any zone without warning. Always use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Concordance Regime Synthesis [JOAT]Concordance Regime Synthesis
Introduction
Concordance Regime Synthesis is an open-source strategy framework that combines regime state, pressure, participation, structure, and higher-timeframe bias into one non-repainting confluence model. The strategy is designed to avoid single-factor entries by requiring multiple independent conditions to align before risk is deployed.
Core Concepts
1. Multi-factor confluence scoring
Long and short setups are scored independently using regime direction, normalized price pressure, participation-axis deviation, delta behavior, recent structure, and optional higher-timeframe bias.
2. Regime-aware execution
Entries only occur when directional confluence exceeds a threshold and the score spread clearly favors one side.
3. ATR-based risk handling
Stops, targets, and optional trailing logic are all derived from ATR so the strategy adapts to volatility instead of using fixed-tick assumptions.
Strategy Properties
Initial capital: 10,000
Order size: 10% of equity per trade
Commission: 0.06%
Slippage: 1 tick
Pyramiding: 0
Orders processed on close
Originality Statement
This strategy is original in its use of a confluence gate that requires independent agreement from regime, pressure, delta, participation, structure, and optional HTF alignment before entries are allowed. It is published as an educational framework for multi-factor strategy construction rather than as a promise of future performance.
Disclaimer
This strategy is for educational and informational purposes only. Backtest results depend on symbol, timeframe, market regime, and execution assumptions. Historical results do not guarantee future returns. Always validate assumptions and use realistic risk controls.
Strategy
Foundry Range Ledger [JOAT]Foundry Range Ledger
Introduction
Foundry Range Ledger is an open-source range and auction-structure indicator that maps active supply, active demand, and the live auction corridor between them.
The script is built for traders who need to know where the market is being offered, where it is being defended, and whether price is rotating cleanly between those two points or breaking away from them.
Instead of relying on a large dashboard to explain everything, Foundry is designed so the main value is visible directly on the chart.
The indicator draws split supply and demand boxes, top and bottom rails, an equilibrium reference, an auction corridor, and candle-state coloring so the structure can be read without hunting through text.
The problem Foundry solves is range readability.
Many range indicators either mark too little and disappear once the first break occurs, or they mark too much and become unreadable.
Foundry focuses on a smaller number of cleaner, higher-visibility structures so the trader can immediately understand whether the market is boxed, rotating, absorbing, rejecting, or releasing through an active zone.
Core Concepts
1. Pivot-Derived Supply and Demand Seeding
Foundry begins with confirmed pivot highs and pivot lows.
Each confirmed pivot can seed a new zone.
If a new pivot forms close enough to the prior pivot of the same type, the zone is treated as a stronger cluster rather than as unrelated noise.
This lets the script represent repeated defense or repeated supply more clearly than a single-touch model.
2. Split-Zone Construction
Each zone is drawn as a body with two internal halves.
For supply, the upper half represents the more aggressive offer side and the lower half represents the response pocket below it.
For demand, the lower half represents the more aggressive bid side and the upper half represents the response pocket above it.
This creates a cleaner institutional-style visual than a single flat rectangle.
3. Top, Bottom, and Equilibrium Rails
Foundry does not leave the zone as only a filled box.
Each active zone has clear rails at its boundary and a dashed equilibrium line through its center.
These rails make it easier to judge exactly where price is entering, holding, or releasing from the zone.
4. Participation Inside the Zone
The indicator tracks directional participation inside the active zone.
Touches are counted only when price actually interacts with the zone.
Buy-side and sell-side participation are then compared to determine whether the zone is absorbing or rejecting.
This information drives both state text and the internal color emphasis of the split halves.
5. Auction Corridor Logic
When both an active supply zone and an active demand zone exist at the same time, Foundry calculates the live auction corridor between them.
That corridor is the space where price is rotating between opposing areas of interest.
The script highlights that corridor directly on the chart and adds an equilibrium reference so range traders can see where the market is most balanced.
6. Release and Post-Break Behavior
A zone is not immediately forgotten once price breaks it.
Foundry can keep released zones visible as post-break context, allowing the trader to study whether price is cleanly escaping or coming back to retest the released area.
This is important because the first break is often only part of the story.
The retest frequently matters more than the break itself.
7. Candle-State Coloring
Candles are recolored based on where price is interacting.
If price is trading inside active supply, the candles reflect offer pressure.
If price is trading inside active demand, the candles reflect bid pressure.
If price is rotating in the live corridor, the candles shift toward the neutral response color.
This creates immediate chart feedback without cluttered shapes.
Features
Confirmed supply and demand zones: Zones are seeded from confirmed pivots rather than unconfirmed intrabar motion
Cluster-aware strengthening: Repeated pivots near the same level strengthen the visual and informational quality of the zone
Split zone bodies: Each supply and demand box is divided internally for cleaner auction reading
Boundary rails and midpoint rail: Top, bottom, and equilibrium references remain visible directly on the chart
Auction corridor cloud: When both sides are active, the space between them is highlighted as a live range environment
Stateful release behavior: Broken zones can remain visible as post-break structure instead of vanishing instantly
Retest labels: Optional tags mark when price revisits released structure
Zone interaction candle coloring: Price bars reflect supply interaction, demand interaction, or corridor rotation state
Six-row dashboard: Only the highest-value summary fields remain, keeping the chart as the primary information surface
Confirmed-bar alerts: Alerts are available for releases, retests, active auction states, and balanced corridor conditions
Input Parameters
Range Construction:
Pivot Length: Number of bars required on each side to confirm a pivot
Cluster Tolerance ATR: Distance allowed between repeated pivots before they are treated as one stronger cluster
Zone Width ATR: ATR-scaled depth of each zone
Forward Extend Bars: Number of bars the active zone projects forward on the chart
Minimum Zone Age: Minimum number of bars before a break qualifies as a meaningful release
Context and Behavior:
Show Auction Cloud toggle
Keep Broken Zones toggle
Show Retest Tags toggle
Show Zone Labels toggle
Recolor Candles toggle
Broken Zone Fade Bars: Controls how long released zones remain visible when historical persistence is disabled
Break Body Quality and filter toggle: Prevents weak-body candles from being treated as high-quality releases
How to Use This Indicator
Step 1: Identify Whether Supply, Demand, or Both Are Active
If only supply is active, the market is currently capped from above.
If only demand is active, the market is currently supported from below.
If both are active, price is trading inside a live auction corridor.
That is the first and most important read.
Step 2: Read the Box Geometry, Not Just the Labels
The top and bottom rails define the actual interaction edges.
The dashed midpoint shows the local equilibrium of the zone.
When price enters the zone, watch where it spends time, where it rejects, and whether the candles recolor in the expected direction.
Step 3: Use the Corridor as a Rotation Map
When both zones are active, the space between demand top and supply bottom becomes the tradable balance corridor.
That space is where mean-reversion and auction-style logic are most relevant.
A clean release out of that corridor changes the context immediately.
Step 4: Watch Release Quality
Foundry does not treat every poke outside a zone as equally important.
Body quality can be used as a filter so weak noise does not count the same as committed expansion.
This helps reduce false structural releases.
Step 5: Retests Matter
A released zone that price retests cleanly can be more informative than the initial break itself.
Use the retest labels and the remaining zone structure to judge whether the prior range is truly being left behind or simply probed.
Indicator Limitations
Pivot-based zones confirm only after the pivot is complete, so the script will always favor non-repainting structure over earliest possible marking
If price trends strongly without forming relevant repeat pivots, the indicator may show fewer zones than a more aggressive retail-style detector
A zone is contextual, not predictive; price can ignore supply or demand completely when momentum is strong enough
Balanced corridor conditions do not guarantee rotation and can still resolve into directional continuation
The recolored candle state is contextual feedback, not an entry signal by itself
Originality Statement
Foundry Range Ledger is original in the way it combines pivot-seeded supply and demand bodies, split internal zone construction, visible auction corridor rendering, participation-aware state handling, and post-break structural persistence into one chart-first overlay.
The script is designed to make range structure visually readable, not to hide it behind a large panel or reduce it to generic rectangles.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not provide financial advice or trading recommendations.
Supply and demand zones can fail, release, or be ignored entirely by price.
Balanced ranges can break violently without warning.
Always use independent confirmation and risk management.
Indicator
Harborside Regime Channel [JOAT]Harborside Regime Channel
Introduction
Harborside Regime Channel is an open-source regime-mapping indicator built to classify whether the market is expanding, compressing, reclaiming balance, or losing structural support inside a live adaptive channel.
The script is designed for traders who need context before they interpret any other signal.
Instead of asking only whether price is above or below a moving average, Harborside studies a pivot-fed centerline, adaptive outer rails, higher-timeframe directional agreement, and volatility compression state at the same time.
The result is a channel that behaves more like an institutional market map than a simple trend overlay.
The problem Harborside solves is regime clarity.
Many trend tools keep printing directional color even while the market is actually compressing inside a narrowing structure.
Many channel tools show a band but do not explain whether that band is healthy, fragile, extended, or aligned with higher-timeframe pressure.
Harborside addresses that by combining channel structure, expansion behavior, and higher-timeframe bias in one chart-first framework.
Core Concepts
1. Pivot-Fed Structural Center
Harborside does not anchor its regime center to a fixed moving average alone.
Instead, confirmed swing highs and swing lows are used to build a rolling center reference.
That center is then smoothed to create a structural balance line.
This matters because the center is linked to confirmed market geometry rather than only to lagging price averages.
The channel therefore breathes with the underlying structure of the market.
2. Adaptive Outer Rails
The upper and lower rails are derived from ATR-scaled expansion around the structural center.
This means the channel naturally widens when volatility expands and contracts when price compresses.
Because the rails are smoothed, they remain readable instead of flickering excessively during intrabar noise.
This creates a cleaner map for determining whether price is stretching, reverting, or breaking into a new directional phase.
3. Regime Flips on Confirmed Structural Breaks
A bullish regime is not assigned merely because price is green for a few bars.
A regime flip occurs when price confirms through the adaptive outer band in the relevant direction.
That regime is then maintained until the opposing side is confirmed.
This makes the indicator more stable than reactive color-on-close style tools.
4. Compression Detection
Harborside measures band width relative to its own historical baseline.
When the band compresses below the configured threshold, the script identifies a meaningful reduction in expansion state.
This compression state is important because trend-following logic behaves very differently when the market is coiled than when it is already moving freely.
Compression is shown directly on the chart and carried into the dashboard state.
5. Projection Rails
The script extends projected center, upper, and lower rails forward using current center slope and ATR-scaled projection logic.
These projected rails are not predictions in the magical sense.
They are forward references showing where the current regime geometry would continue if the active slope persists.
That gives the trader a usable visual frame for stretch, continuation, and mean-reversion decisions.
6. Higher-Timeframe Bias Alignment
Higher-timeframe bias is requested using offset logic intended to avoid repaint-style behavior from incomplete higher-timeframe bars.
Fast and slow higher-timeframe EMA structure is used to determine whether broad directional pressure is supportive, opposing, or neutral.
Harborside does not force the higher-timeframe filter on the user.
It can be enabled or disabled depending on workflow.
7. Regime Health and Confidence
Harborside includes a confidence-style scoring model built from displacement, slope, compression state, and directional bias alignment.
This score is not intended to be a trade system on its own.
It is a context gauge.
A high score means the active regime has cleaner structural support.
A low score means the visible state is weaker or more fragile.
Features
Pivot-fed centerline: The regime center is anchored to confirmed swing structure rather than a static average alone
Adaptive outer rails: ATR-scaled bands expand and contract with changing volatility conditions
Confirmed regime flips: Bull and bear states change only after confirmed structural breaks through the active channel rails
Compression box: Important volatility contraction zones are shown directly on the chart instead of being hidden in a separate pane
Projection rails: Forward rails extend the current channel geometry into future bars for context and stretch awareness
Higher-timeframe bias filter: Optional HTF directional alignment helps separate local moves from larger directional pressure
Regime-colored candles: Candle coloring reflects the active state without relying on cluttered symbols or arrows
Band cloud rendering: The active channel body is filled to make directional structure readable at a glance
Health and confidence diagnostics: The dashboard summarizes regime quality in compact form
Six-row dashboard: The display was intentionally reduced so the chart remains the primary source of information
Confirmed-bar alerts: Alerts are available for regime flips, compression holds, center reclaims, HTF alignment, and high-health states
Input Parameters
Channel Structure:
Swing Length: Number of bars required on both sides to confirm pivots used by the structural center
Band Multiplier: ATR multiplier used to define the channel width
Center Smoothing: Smoothing applied to the structural midpoint
Band Smoothing: Smoothing applied to the upper and lower rails
Bias and Context:
Bias Timeframe: Higher timeframe used for optional directional confirmation
Compression Lookback: Baseline window used to measure channel contraction
Compression Threshold: Band-width threshold below which the market is treated as compressed
Volume Bias Filter: Volume impulse threshold used to label directional support
Projection:
Projection Bars: Number of bars projected forward
Projection ATR Multiplier: Width factor used for forward rails
Projection Slope Multiplier: How strongly current center slope influences the forward center projection
Display:
Show Band Cloud toggle
Show Compression Box toggle
Show Projection Rails toggle
Recolor Candles toggle
Show Dashboard toggle
How to Use This Indicator
Step 1: Read the State from the Chart First
Start with the channel itself.
Is price controlling the upper side of the structure, the lower side, or compressing near the center?
The rails and cloud are meant to answer that visually before the dashboard is consulted.
Step 2: Check Compression Before Chasing Direction
If the compression box is active, treat the market as coiled rather than trending cleanly.
That does not mean price cannot move.
It means breakout quality matters more than ordinary directional drift.
Step 3: Use Projection Rails as Forward Reference
Projection rails are best used for context.
If price is already far outside projected geometry, the market may be stretched.
If price is traveling inside projected structure, continuation is behaving more normally.
Step 4: Compare Local Regime to HTF Bias
If the local regime and higher timeframe agree, directional conditions are cleaner.
If they disagree, treat the move with more caution.
That disagreement often marks either a pullback or a weak local thrust against broader pressure.
Step 5: Use Health and Confidence as Filters, Not Commands
High confidence does not guarantee follow-through.
Low confidence does not guarantee failure.
The score is there to grade structural quality, not to replace decision-making.
Indicator Limitations
Pivot-based structure is intentionally confirmed after the swing forms, so the centerline will never anticipate future pivots
Projection rails are structural references, not forecasts of what price must do next
HTF alignment is delayed by design because the script uses completed higher-timeframe values for safer non-repainting behavior
Compression can persist longer than expected, so directional patience is still required
Harborside is a context framework and should not be treated as a guaranteed entry system on its own
Originality Statement
Harborside Regime Channel is original in the way it combines a pivot-fed structural center, ATR-adaptive regime rails, explicit compression logic, forward projection rails, and optional higher-timeframe agreement into one coherent chart-first overlay.
The value of the script is not any one component in isolation.
It is the way those components interact to show whether the market is healthy, stretched, compressing, or structurally aligned.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not provide financial advice, investment advice, or trading recommendations.
Any regime reading can fail, reverse, or degrade suddenly due to news, liquidity changes, or ordinary market uncertainty.
Always use independent confirmation and risk management.
Indicator
Indicator
Indicator
Covenant Participation Lattice [JOAT]Covenant Participation Lattice
Introduction
Covenant Participation Lattice is an open-source participation-axis engine that builds a rolling price-distribution profile, stabilizes the point of control, and maps value-area structure around that axis. It is designed to show where price is accepted, where it is stretched, and whether current auction conditions are balanced, premium, or discounted.
Core Concepts
1. Rolling profile construction
A distribution of volume by price is rebuilt over a configurable lookback and row count. The profile identifies a raw point of control and the surrounding value area used to classify current price position.
2. Stabilized axis logic
Rather than plotting the raw POC directly, Covenant stabilizes the axis using staged adjustments constrained by ATR. This reduces noisy jumps while preserving meaningful auction shifts.
3. Premium, discount, and acceptance diagnostics
The script calculates how much volume sits above, below, and inside value. This allows the chart to distinguish accepted trade inside value from premium or discount extension away from it.
4. Corridor rendering
Guide lines and corridor fills visually connect the participation axis with the value-area bounds so the trader can see auction balance without reading the dashboard first.
Features
Rolling profile and stabilized participation axis
Value-area high, low, and midpoint structure
Premium/discount share analysis
Balance tilt and tail-skew diagnostics
Ribbon and top-right dashboard
Confirmed alerts for axis reclaim, value-area breaks, and deep extension
Disclaimer
This indicator is educational and informational only. Participation and value-area relationships describe auction context; they do not guarantee reversal or continuation.
- made with passion by officialjackofalltrades Indicator
Meridian Imbalance Ledger [JOAT]Meridian Imbalance Ledger
Introduction
Meridian Imbalance Ledger is an open-source imbalance mapping tool that tracks confirmed chart-timeframe, higher-timeframe, and micro-structure fair value gaps inside one coordinated framework. The script is designed to answer three practical questions: where imbalance was created, whether that imbalance is still active, and how price is behaving when it returns to those zones.
The indicator solves a context problem. Many imbalance tools only mark a gap once and leave the trader to manually judge whether it remains relevant. Meridian instead maintains a living ledger of active zones, inversion status, fill progress, age, and structural pressure so the chart shows which imbalances still matter and which ones have been consumed.
Core Concepts
1. Multi-source imbalance detection
Meridian separates imbalance generation into three sources:
Chart timeframe imbalances
Higher-timeframe imbalances requested with non-repainting offset logic
Optional micro-structure imbalance scans from lower-timeframe data
This allows a trader to see whether current price is interacting with local inefficiency, inherited higher-timeframe inefficiency, or smaller sub-bar displacement inside the current bar structure.
2. Fill progress and retirement logic
Each zone remains active until its fill rule is satisfied. The script supports configurable retirement behavior so zones can be treated as mitigated on a simple touch, midpoint interaction, or deeper body-based invalidation depending on the chosen rule set.
3. Inversion tracking
If price meaningfully breaches an imbalance, the zone can be treated as structurally altered rather than simply forgotten. Meridian keeps inversion state so prior bullish inefficiency can become resistance context and prior bearish inefficiency can become support context.
4. Age and pressure weighting
Not all zones deserve equal weight. Meridian tracks zone age and active count to create a pressure ratio that helps communicate whether bullish or bearish imbalance structure is dominating the chart right now.
Features
Chart, HTF, and micro imbalance layers: Multiple imbalance sources displayed in one coordinated ledger
Non-repainting HTF requests: Higher-timeframe data requested using historical offsets for safer confirmed context
Fill-progress tracking: Zones remain active until their configured retirement condition is met
Inversion state handling: Breached imbalances can remain visible as flipped structural context
Age-aware zone fading: Older zones visually decay to reduce clutter while retaining context
Pressure ratio and active counts: Quick read on whether bullish or bearish imbalance pressure is leading
Compact top-right dashboard: Displays counts, inversion totals, micro scan status, and bias ratio
Confirmed-bar alerts: New imbalance, inversion, and state transitions only trigger on confirmed bars
How to Use This Indicator
Step 1: Identify whether current price is trading inside fresh chart-timeframe imbalance or approaching older inherited imbalance from a higher timeframe.
Step 2: Use the dashboard counts and bias ratio to judge whether current imbalance structure is skewed toward support or resistance.
Step 3: Monitor inversion states. A previously bullish zone that has failed cleanly may become useful resistance context on retests.
Step 4: Treat micro imbalance scans as execution detail, not a standalone trend signal. The broader chart and HTF layers should carry more decision weight.
Limitations
Micro-structure scans depend on lower-timeframe availability and plan limits
HTF imbalances are intentionally delayed by one completed HTF bar to reduce repaint risk
An imbalance zone is contextual, not a guarantee of reversal or continuation
Originality Statement
Meridian Imbalance Ledger is original in the way it combines confirmed chart imbalances, non-repainting higher-timeframe imbalance inheritance, optional micro scans, and zone lifecycle management into one stateful framework. The script is intended as a structured market context layer, not a one-click entry signal.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not provide financial advice or trade recommendations. Imbalance reactions can fail, invert, or be ignored entirely by the market. Always use independent confirmation and risk management.
Indicator
Tectonic Ribbon Oscillator [JOAT]Tectonic Ribbon Oscillator
Introduction
Tectonic Ribbon Oscillator is an open-source lower-pane momentum field built from twenty lag-reduced strands. The script classifies whether momentum is in bullish expansion, bearish expansion, or twist compression by comparing the ribbon's fast, mid, and slow structure instead of relying on a single oscillator line.
The problem Tectonic solves is momentum depth. A single oscillator can show direction, but it usually hides how broad or fragile the move actually is. Tectonic exposes ribbon breadth, spread, slope, and divergence in one framework so the user can distinguish acceleration from compression.
Core Concepts
1. Multi-Strand Ribbon Construction
Each strand uses a progressively larger lookback and lag-reduced smoothing. This creates a depth field rather than a single-value oscillator.
2. Fast-Mid-Slow Spread Logic
The oscillator compares grouped ribbon averages and uses the spread to determine whether momentum is directional or twisted into compression.
3. Regime Classification
Bull, bear, and twist states are identified from the spread and held as confirmed regime transitions.
4. Divergence Validation
Price pivots and ribbon pivots are compared to identify confirmed bullish and bearish divergence without using future leaks.
5. Momentum Support Layers
Histogram and slope components add a second view of how the ribbon is accelerating or decelerating internally.
Features
Twenty-strand momentum ribbon: Progressive lookbacks create a true depth profile
Lag-reduced smoothing: Ribbon strands are stabilized without reverting to a slow classic oscillator
Twist regime detection: Compression is explicitly separated from directional impulse
Confirmed divergence logic: Bullish and bearish divergence are tracked from confirmed pivot relationships
Histogram and slope overlays: Secondary layers help gauge acceleration quality
Top-right dashboard: State, spread, slope, histogram, depth, divergence, last shift, confirmation, and breadth are reported continuously
How to Use This Indicator
Step 1: Read the regime
Bull and bear states indicate directional momentum dominance. Twist indicates compression or unstable breadth.
Step 2: Compare spread and slope
A large spread with weakening slope often indicates mature momentum. A fresh spread expansion with improving slope usually indicates earlier-cycle momentum.
Step 3: Respect divergence in context
Confirmed divergence is most useful when it appears against an already stretched ribbon state.
Indicator Limitations
Divergence is not a reversal guarantee
Twist states can persist for long periods in balanced markets
Shorter settings will react faster but can become noisy
The oscillator is a momentum context tool and should be combined with market structure or regime logic
Originality Statement
Tectonic Ribbon Oscillator is original in the way it assembles a twenty-strand lag-reduced ribbon, grouped spread classification, divergence validation, and dashboard reporting into one momentum framework rather than publishing a lightly modified RSI derivative.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Momentum and divergence signals can fail, especially during high-volatility structural breaks. Use independent analysis and risk management.
Indicator
Parallax Regime Lattice [JOAT]Parallax Regime Lattice
Introduction
Parallax Regime Lattice is an open-source market-state overlay built to classify whether price is operating in directional expansion, transitional behavior, chop, or compression. It combines structure events, liquidity sweeps, absorption behavior, EMA alignment, ADX, and choppiness into one continuous regime and confluence model.
The problem Parallax solves is fragmented context. Structure, liquidity, and regime are often analyzed with separate scripts, which makes it difficult to see when they actually agree. Parallax consolidates those layers into one chart model so the user can evaluate bias, confluence, and nearby structural risk from a single panel.
Core Concepts
1. Structure State
The script tracks confirmed swing highs and swing lows and classifies directional breaks as the current structural state. This forms the backbone of the regime engine.
2. Liquidity Level Registry
Confirmed pivot highs and lows are registered as buy-side and sell-side liquidity references, extended forward, and marked when swept.
3. Absorption Zones
High-volume, low-body candles are used to identify localized demand or supply absorption areas, which are preserved as forward boxes for as long as they remain relevant.
4. Chop and Compression Filters
ADX, choppiness, and compression ratio work together to determine whether the market is expanding, compressing, or structurally noisy.
5. Confluence Score
Trend direction, structure, liquidity behavior, slope, and expansion quality are combined into one confluence score that is graded directly in the dashboard.
Features
Structure classification: BOS and regime-state handling from confirmed swing breaks
Liquidity sweep tracking: Buy-side and sell-side levels retained and marked when swept
Absorption zones: High-volume low-body candles create forward supply or demand boxes
Compression box: Compression is visualized directly on the chart when range conditions dominate
Confluence heat: Optional background heat reflects directional agreement strength
EMA ribbon: Fast, intermediate, and structural composites define directional geometry
Institutional dashboard: Bias, regime, ADX/chop, structure, confluence, sweep status, nearest level, and compression are summarized in one panel
How to Use This Indicator
Step 1: Read the regime row
Expansion means structure and conditions favor directional trade selection. Compression and chop mean the market is less suitable for trend continuation logic.
Step 2: Check confluence grade
The grade gives a compact summary of how strongly the active state is supported by the underlying engines.
Step 3: Use liquidity and absorption together
A sweep into an active absorption zone is a materially different event than an isolated sweep with no supporting structure.
Step 4: Use nearest level for risk framing
The nearest tracked structural level helps frame where the next meaningful invalidation or continuation event may occur.
Indicator Limitations
Swing-confirmed structure always arrives with intentional delay because pivots require confirmation
Liquidity levels are contextual references, not guaranteed reversal points
Compression and chop states can persist longer than expected in slow markets
Parallax classifies regime and confluence; it is not a full execution model by itself
Originality Statement
Parallax Regime Lattice is original in the way it merges structure, liquidity, absorption, chop, compression, and confluence into one coherent regime overlay rather than presenting those layers as disconnected tools.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Structural, liquidity, and regime readings can fail in live markets. Always apply independent risk management and validation.
Indicator
Asymmetric Volatility Trend Line [QuantAlgo]🟢 Overview
Asymmetric Volatility Trend Line is a trend-following indicator built on adaptive standard deviation thresholds rather than fixed bands or moving average crossovers. It quantifies the statistical volatility of recent price movement to determine asymmetric conditions for trend continuation versus trend reversal, then uses those conditions to anchor a dynamic trend line that adjusts position in response to confirmed directional moves, helping traders distinguish between genuine breakouts and noise-driven fluctuations across every timeframe and market.
🟢 How It Works
The foundation of the indicator is a rolling standard deviation applied to the selected price source over a configurable lookback window, scaled by a threshold multiplier to produce the volatility boundary used in all trend logic:
vol_threshold = ta.stdev(src, lookback) * threshold_mult
This threshold is intentionally asymmetric in application. When the trend line is in a bullish state, a smaller fraction of the threshold (0.5x) is required for price to confirm continuation, while a full threshold breach in the opposite direction is needed to trigger a reversal. The same asymmetry applies in reverse during bearish states:
if trend_dir >= 0
if src > trend_line + vol_threshold * 0.5
trend_line := math.max(trend_line, src - vol_threshold * 0.25)
trend_dir := 1
else if src < trend_line - vol_threshold
trend_line := src + vol_threshold * 0.25
trend_dir := -1
This design means continuation requires less evidence than reversal. A directional move only needs to exceed half the volatility threshold to sustain the current trend, but must overcome the full threshold to flip it. The 0.25x offset applied when repositioning the trend line keeps it anchored within the volatility envelope rather than jumping directly to price, producing a smoother line that does not overreact to a single bar.
When a reversal is confirmed, the trend line is placed on the opposite side of price at a quarter-threshold distance, giving it room to develop without immediately triggering another flip:
trend_line := src + vol_threshold * 0.25 // repositioned on bearish flip
trend_dir := -1
Direction state is tracked through two integer variables, with reversal conditions derived from comparing the current and prior bar states:
turned_bullish = trend_dir == 1 and trend_dir == -1
turned_bearish = trend_dir == -1 and trend_dir == 1
is_reversal = trend_dir != prev_dir and bar_index > 0
🟢 Signal Interpretation
▶ Bullish Trend (Green): When price closes above the trend line by more than half the volatility threshold, the indicator enters bullish mode with green colouring applied across the trend line, gradient fill, and reversal marker (⦿). This state persists until price closes below the trend line by the full volatility threshold, allowing normal pullbacks to occur without triggering a direction change.
▶ Bearish Trend (Red): When price closes below the trend line by more than half the volatility threshold, the indicator enters bearish mode with red colouring across all visual elements. A full threshold breach to the upside is required to exit this bearish state.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover different trading approaches. "Default" targets swing trading on 4-hour and daily charts with moderate threshold sensitivity. "Fast Response" reduces the volatility barrier and shortens the lookback for intraday charts where the indicator needs to adapt to shorter-duration moves. "Smooth Trend" raises the reversal threshold substantially for position trading on daily and weekly timeframes, where the cost of a false flip is higher than the cost of a delayed one. Selecting a preset overrides the individual multiplier and lookback inputs.
▶ Built-in Alerts: Three alert conditions cover all directional states. "Bullish Trend Signal" fires on the bar where the trend direction flips from bearish to bullish. "Bearish Trend Signal" fires on the bar where it flips from bullish to bearish. "Any Trend Change" combines both into a single condition for traders who want a unified notification regardless of direction.
▶ Visual Customisation: Six colour presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) apply coordinated bullish and bearish colour schemes across the trend line, gradient fill, reversal markers, and optional bar and background colouring. Bar colouring tints price candles with the active trend colour at a configurable transparency level, and background colouring extends the directional tint across the full chart pane. Both are disabled by default and controlled independently.
Indicator
Meridian Session Cartography [JOAT]Meridian Session Cartography
Introduction
Meridian Session Cartography is an open-source session-structure overlay designed to map intraday market geography through Asia, London, New York, and one fully custom session. The indicator tracks each session's developing high, low, open, midpoint, previous-day references, and confirmed liquidity sweeps, then organizes those references into a clean institutional chart layout.
The problem Meridian solves is session context. Many intraday decisions fail not because the setup is invalid, but because the trader is reading a local move without understanding which session created the range, where the day is trading relative to prior-day references, and whether liquidity has already been swept. Meridian turns that information into a persistent map.
Core Concepts
1. Timezone-Safe Session Tracking
Each session is evaluated through explicit session windows and a user-selected timezone, allowing the script to adapt to regional workflows without hard-coding exchange assumptions.
f_inSession(string sess, string tz) =>
not na(time(timeframe.period, sess, tz))
2. Session Range Construction
Every active session continuously updates its high, low, midpoint, and opening price. These references remain actionable because they are tied to actual session development instead of static preset levels.
3. Previous-Day Reference Logic
Previous-day high, low, open, and close are requested from the daily context using non-lookahead calls. These levels frame the broader day structure around which the active session range is operating.
4. Confirmed Sweep Detection
The indicator identifies confirmed buy-side and sell-side sweeps around tracked extremes, helping the user recognize when a session has already consumed nearby liquidity.
5. Managed Object Layout
Boxes, lines, and labels are retained through capped arrays and automatically cleaned to avoid chart clutter and object-budget drift.
Features
Four configurable session blocks: Asia, London, New York, and one custom session
Range geometry: High, low, midpoint, and opening references for each session
Previous-day levels: Prior day high, low, open, and close included in the same framework
Confirmed sweep logic: Liquidity sweep status updates only after bar confirmation
Reference-level extension: Session levels can project forward for practical intraday use
Chart-cleaning controls: Managed limits for labels, boxes, and lines
Top-right dashboard: Active session, day range, sweep status, and nearest level are summarized continuously
Input Parameters
Core:
Timezone
Active Days To Retain
Level Extend Bars
Max Session Objects
Per-Session Blocks:
Show Session toggle
Session window
Bull and bear colors
Range fill color
Levels and Display:
Show Previous Day Levels
Show Opens
Show Midpoints
Show Range Zones
Show Sweep Labels
Show Candle Tint
Dashboard position and size
How to Use This Indicator
Step 1: Identify the active session
Use the dashboard to confirm which session currently governs price. This gives immediate context for interpreting local range behavior.
Step 2: Compare the active session to the day
Check the relationship between the active session range and previous-day high/low. This helps distinguish local noise from meaningful day-level expansion.
Step 3: Monitor midpoint and open behavior
Session midpoints and opens often act as practical mean-reversion or continuation checkpoints during intraday trading.
Step 4: Watch sweep status before fading or chasing
If the session has already swept one side of liquidity, that changes the quality of any breakout or reversal idea built near the same reference.
Indicator Limitations
Session-based indicators are highly sensitive to the chosen timezone and should be configured intentionally
Sweep detection confirms after the bar closes, which is deliberate non-repainting behavior
Very low-liquidity markets can produce irregular session geometry
The script maps context and liquidity behavior; it does not generate full trade plans by itself
Originality Statement
Meridian Session Cartography is original in the way it combines timezone-safe multi-session mapping, previous-day references, midpoint and open logic, confirmed sweep detection, and managed chart-object cleanup into one publication-ready intraday overlay. It is not a simple session shading script or a basic high/low plotter.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Session levels and sweep readings are contextual tools and can fail in volatile or atypical conditions. Trading involves risk, including the risk of loss.
Indicator
ATC MACD EvolvedWhat It Is
ATC MACD Evolved is a precision-engineered rebuild of the classic Moving Average Convergence Divergence indicator. It keeps the familiar MACD structure traders already know — fast EMA, slow EMA, signal line, histogram — and replaces every weak link in that structure with a cleaner, more reliable equivalent. The result is a MACD that reads momentum more clearly, lies less often, and tells you not just what is happening but how significant it actually is.
This is not a MACD with extra features stacked on top. It is a MACD built the right way from the foundation up.
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Who It's Built For
ATC MACD Evolved is built for the active retail trader who already knows what MACD is, has probably used it before, and has run into its most common frustrations — late crossovers, noisy histogram readings, and signal lines that lag at the worst possible moment. If you have ever watched a MACD crossover fire and then immediately reverse, this indicator was built in response to exactly that experience.
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Core Concept
MACD measures the distance between two exponential moving averages of price — a faster one (default 12 periods) and a slower one (default 26 periods). When the fast EMA pulls ahead of the slow EMA, momentum is building. When it falls behind, momentum is fading. The gap between the two is the MACD line. The signal line smooths that gap to make crossovers more readable. The histogram is the gap between the MACD line and the signal line — it expands when momentum is accelerating and compresses when it is slowing.
That is the retail MACD. It works. But it has three structural problems. The signal line uses EMA smoothing, which lags and causes late crossovers. The histogram has no scale reference, so you cannot tell whether a reading is large or small for the instrument you are trading. And the divergence logic, when it exists at all in retail tools, is not filtered — it fires constantly and most of those signals are noise.
ATC MACD Evolved solves all three.
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The Upgrades
HMA Signal Line
The signal line is replaced with a Hull Moving Average of the same default length. HMA is specifically designed to reduce lag while maintaining smoothness. In practice this means crossovers occur closer to the actual momentum shift rather than well after it has already occurred. The MACD line itself remains a standard EMA-based calculation — the HMA is applied only to the signal line, which is the part of the system most responsible for late signals.
Standard-Deviation-Normalized Histogram
Every histogram print is measured against the instrument's own historical standard deviation over the last 200 bars. This produces a normalized strength score — call it the histogram Z-score — that tells you objectively whether the current histogram reading is strong, moderate, or weak relative to what this instrument normally produces at this timeframe. A histogram bar that looks big might actually be ordinary. A histogram bar that looks small might be historically significant. The normalization removes that ambiguity.
The histogram is then rendered in one of eight visual states based on direction, strength, and whether momentum is accelerating or fading. Strong bullish prints glow at full opacity. Weak prints render faded. Fading momentum mid-trend is visually distinct from genuine weakness. You can read the state of momentum at a glance without needing to interpret numbers.
Conservative Pivot-Confirmed Divergence Engine
Divergence is off by default. When enabled, it does not fire on every wiggle. It requires confirmed price pivots — actual swing highs and lows — before comparing histogram behavior at those pivots. The pivot confirmation is hard: the engine waits for the required number of bars on both sides of the pivot to confirm before flagging anything. It also enforces minimum and maximum bar separation between pivots, rejecting micro-divergences that form on adjacent bars and stale divergences where the pivots are too far apart to be meaningful. There is also an optional same-side-of-zero filter, which requires both histogram pivots to be on the same side of the zero line — bear divergence requires both readings above zero, bull divergence requires both below. This filter alone eliminates a large category of false divergence signals that retail tools produce constantly.
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Chart Visuals
MACD Line — Electric Blue The core momentum line. Tracks the spread between the fast and slow EMA.
Signal Line — Gold The HMA-smoothed signal. Crossovers between the MACD line and signal line are primary signals.
Histogram Columns The gap between the MACD line and signal line, rendered in color-coded columns with a visual scale multiplier applied for readability (default 1.75x). This multiplier is display-only and does not affect any calculations, alerts, or HUD values. The columns use eight visual states driven by direction, normalized strength, and slope:
• Bright green, full opacity — bullish, accelerating, strong
• Green, slightly faded — bullish, accelerating, moderate strength
• Green, heavily faded — bullish but statistically weak (watch for stall)
• Green, partial fade — bullish but decelerating (momentum losing steam)
• Bright red, full opacity — bearish, accelerating, strong
• Red, slightly faded — bearish, accelerating, moderate
• Red, heavily faded — bearish but weak (bear pressure fading)
• Red, partial fade — bearish but decelerating (recovery building)
MACD / Signal Cloud A filled region between the MACD line and signal line that changes color and opacity based on the combined state of both lines relative to each other and to the zero line. Darker and more saturated when both are on the same side and in agreement. Lighter and more transparent during transitional phases.
Momentum Background A subtle background tint across the full panel — green when MACD is above signal, red when below. The tint is stronger when the MACD line is also above zero (bull control) and lighter when it is below (recovery or transition). This gives you an immediate panel-level read on regime without needing to look at individual lines.
Zero-Line Glow The zero line is rendered with a colored glow that reflects the current histogram direction — green when histogram is positive, red when negative. This provides a subtle but consistent reference point for zero-line crossover events.
Crossover Dots At every signal-line crossover, a dot and surrounding glow appear on the MACD line. The glow renders first so the sharp dot remains visually dominant. Bull crossovers are green, bear crossovers are red.
Divergence Labels (optional) When divergence is enabled and a confirmed pivot-to-pivot divergence is detected, a BULL DIV or BEAR DIV label appears on the histogram at the pivot bar. Labels are placed on the visually scaled histogram so they align with the displayed columns.
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The HUD
The HUD is a live data panel rendered in the corner of the indicator panel. It updates on every bar close and gives you a structured summary of the indicator's current state without needing to read individual lines and columns manually.
MACD — The raw MACD line value at four decimal places.
Signal — The HMA signal line value at four decimal places.
Hist Strength — The normalized Z-score of the current histogram print. Positive values indicate bullish histogram, negative bearish. The magnitude tells you how significant the print is relative to this instrument's normal range. A value above +1.5 or below -1.5 is statistically strong.
Strength — A plain-language classification of the Z-score reading: Strong, Moderate, or Weak. Strong means the current histogram print is beyond 1.5 standard deviations from zero. Moderate is between 0.5 and 1.5. Weak is below 0.5 and is the zone where momentum signals should be treated with caution.
State — A four-state momentum classification based on the position of the MACD line relative to signal and relative to zero:
• Bull Control — MACD above signal AND above zero. Full bullish regime.
• Bull Recovery — MACD above signal but below zero. Recovering from bearish territory.
• Bear Pressure — MACD below signal but above zero. Weakening from bullish territory.
• Bear Control — MACD below signal AND below zero. Full bearish regime.
Divergence — When the divergence engine is enabled, this field shows the current status: Watching (monitoring for pivots), Bull Div @ Pivot (confirmed bullish divergence at last pivot), or Bear Div @ Pivot (confirmed bearish divergence at last pivot). When the engine is off, this field shows Off.
Hist Visual — The current histogram visual scale multiplier. Displayed as a reminder that the histogram is scaled for readability only. All calculations use the true unscaled histogram values.
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Alerts
ATC MACD Evolved includes eight configurable alert conditions:
MACD Bull Cross — Fires when the MACD line crosses above the HMA signal line.
MACD Bear Cross — Fires when the MACD line crosses below the HMA signal line.
MACD Zero Cross Up — Fires when the MACD line crosses above the zero line.
MACD Zero Cross Down — Fires when the MACD line crosses below the zero line.
Strong Bull Histogram — Fires on the first bar where the normalized histogram strength enters the strong zone on the positive side. This is a momentum acceleration alert, not a crossover.
Strong Bear Histogram — Fires on the first bar where normalized histogram strength enters the strong zone on the negative side.
Bear Divergence — Fires when the divergence engine confirms a bearish pivot-to-pivot divergence. Requires divergence to be enabled in settings.
Bull Divergence — Fires when the divergence engine confirms a bullish pivot-to-pivot divergence. Requires divergence to be enabled in settings.
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How to Trade With ATC MACD Evolved
ATC MACD Evolved is a momentum and trend-following tool. It measures momentum quality, not price targets. Use it to confirm conditions that support entry, to gauge how much conviction exists behind a move, and to identify early signs of momentum exhaustion before a reversal becomes obvious.
Step 1 — Read the State first
Before looking at any crossover or histogram reading, check the HUD State field. Bull Control and Bear Control are the regimes where signals from this indicator carry the most weight. Bull Recovery and Bear Pressure are transitional — signals are valid but require more supporting evidence from price action or other tools.
Step 2 — Read the Histogram Strength
Check the Strength field in the HUD. A Strong reading means the histogram print is statistically significant for this instrument. A Weak reading means momentum is not confirmed — crossovers in weak histogram territory are lower conviction and should be weighted accordingly. Do not trade crossovers in Weak zones the same way you trade them in Strong zones.
Step 3 — Confirm the crossover
When the MACD line crosses the HMA signal line, a crossover dot and glow appear on the chart. The most reliable crossovers occur when the histogram is transitioning from a faded state (decelerating) to an accelerating state on the opposite side — you will see the histogram columns shift from a partial-opacity color to a full-opacity color in the new direction. Crossovers that occur with immediately Strong normalized readings are the cleanest setups.
Step 4 — Check the zero-line position
A bullish crossover above the zero line (Bull Control state) is generally stronger than one below zero (Bull Recovery). Both are valid, but the zero-line position tells you whether you are trading with the prevailing macro momentum or against it. Trade Bull Control crossovers with more size or fewer confirmations required. Trade Bull Recovery crossovers as potential turning-point setups that still need price structure support.
Step 5 — Use zero-line crossovers as trend confirmation
When the MACD line itself crosses the zero line, it marks a shift in the medium-term trend relationship between the fast and slow EMAs. Zero cross up, combined with a MACD-above-signal condition, is a two-layer confirmation of a building trend. Zero cross alerts are most useful as trend-start confirmation rather than entry triggers on their own.
Step 6 — If divergence is enabled, treat it as a caution flag
A divergence label on ATC MACD Evolved is not a buy or sell signal. It is a structural warning. Bearish divergence — price making a higher high while the histogram makes a lower high — means upside momentum is not confirming price action. This creates a fragile structure. Bullish divergence is the mirror: price making a lower low while histogram makes a higher low, indicating selling pressure is not accelerating with price. In both cases, wait for a crossover or a failed new extreme in price to act on the divergence flag.
Step 7 — Watch the histogram fade for exits
When you are in a trade and the histogram shifts from a Strong or Moderate state to a Weak state — visible as the column opacity dropping and the Strength field reading Weak — that is a warning that momentum is stalling. It is not an exit trigger by itself, but it is a cue to tighten your stop or reduce exposure. When the histogram then begins fading (decelerating) in the current direction, watch for a crossover as confirmation of a regime shift.
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Recommended Instruments and Timeframes
ATC MACD Evolved is validated and performs well on liquid instruments with consistent volume profiles. Futures markets including ES, NQ, MES, MNQ, CL, and GC are the primary intended instruments. It is equally well-suited to major equity ETFs such as SPY and QQQ, and to major forex pairs including EURUSD, GBPUSD, and USDJPY. The normalization engine adapts to the volatility characteristics of each instrument, so the same threshold settings can be used across markets without manual adjustment.
Recommended timeframes are 5-minute through 4-hour for active trading and 1-hour through Daily for trend context and confirmation. The 200-bar normalization lookback is calibrated for these timeframes. On very short timeframes below 5 minutes, consider increasing the normalization lookback to maintain statistical stability. On weekly or monthly charts, the tool still functions correctly but is better used as a macro context layer than an entry trigger.
Indicator
ATC Money Flow OscillatorWhat It Is
The ATC Money Flow Oscillator is a volume-weighted buying and selling pressure tool that tells you not just whether money is flowing in or out of an instrument, but how extreme that pressure is relative to recent market history. It is a normalized oscillator — which means its readings are statistically meaningful regardless of the asset, timeframe, or market conditions you apply it to.
Where most retail money flow tools give you a raw reading against a fixed threshold (and those thresholds are always wrong for someone, somewhere, at some point in time), the ATC MFO gives you a Z-score — a measurement of how far current pressure deviates from the rolling statistical baseline for that specific instrument and session. The result is an oscillator that speaks the same language whether you are trading ES futures on a 5-minute chart or GC on a 1-hour chart.
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Who It Is Built For
The ATC Money Flow Oscillator is built for traders who want a pressure confirmation tool that does not lie to them at the edges. If you have ever used Chaikin Money Flow, On Balance Volume, or a standard CMF and felt frustrated that the indicator screams "extreme" when conditions are perfectly normal, or gives a flat reading during a genuine momentum surge, this indicator was engineered specifically to solve that problem.
It works well as a standalone directional filter and as a confirmation layer for price action, trend, or breakout strategies. It is particularly useful for traders who want to know whether volume is supporting the move or quietly fading it before they commit to an entry.
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Core Concept
The foundation of the ATC MFO is a Chaikin-style money flow calculation. For each bar, it asks a simple question: where did price close within the bar's high-to-low range, and how much volume was behind that close? A bar that closes at the high of its range with heavy volume is strong buying pressure. A bar that closes at the low of its range with heavy volume is strong selling pressure. A bar that closes in the middle, or closes at the high with minimal volume, is ambiguous.
That per-bar measurement is called the Money Flow Multiplier — it produces a signed value between -1 and +1 for every bar, which is then multiplied by volume to create a Money Flow Volume reading. Those per-bar readings are summed over a rolling lookback window (default 10 bars) to build a directional picture of recent pressure, then divided by total volume in the same window to normalize for volume magnitude. The result is the raw Money Flow Ratio — a clean directional reading of where participation-weighted price activity is clustering.
That raw ratio is what most retail tools stop at. The ATC MFO treats it as the starting point.
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ATC MFO Upgrades
1. Z-Score Normalization
The raw Money Flow Ratio is run through a rolling Z-score calculation over a configurable normalization window (default 40 bars). This computes the rolling mean and standard deviation of the raw ratio across recent history and expresses the current reading as a number of standard deviations from that average. The result is the Money Flow Z-Score — the main oscillator line you see on the chart.
This single upgrade changes the character of the tool entirely. Instead of asking "is the reading above 0.25?" it asks "is the reading more than one standard deviation above average for this instrument in this session?" That is a meaningfully different and more honest question. The empirical pressure bands (at ±1 sigma and ±2 sigma) replace the guesswork of fixed thresholds with statistically derived extremes.
2. HMA Signal Line
Most money flow tools use an SMA or EMA signal line. The ATC MFO uses a Hull Moving Average (HMA) for signal smoothing. HMA dramatically reduces the lag that makes conventional smoothed signal lines late by design. The signal line updates faster, tracks direction more accurately through transitions, and avoids the "stale signal" problem where the smoothed line is still pointing one way while price has already reversed. The default HMA length is 6 bars, derived from the same optimization sweep as the lookback and normalization window settings.
3. Hysteresis-Stabilized State Engine
The indicator classifies the current pressure environment into five states: Neutral, Elevated Buying, Extreme Buy Pressure, Elevated Selling, and Extreme Sell Pressure. These states are displayed in the HUD and drive the color logic across the chart. Rather than flickering between states every time the Z-score crosses a threshold by a fraction, the state engine applies a configurable hysteresis band. Once you enter a state, you stay in it until pressure falls meaningfully below the threshold — not just one tick below it. This prevents the visual noise that makes most state-classifying indicators unreliable to read in real time.
4. Session Participation Tracker
The indicator maintains a live volume participation ratio: the current bar's volume expressed as a multiple of the session average volume for that day. A reading of 1.0x means volume is exactly in line with the session average. A reading above 1.20x means the current bar is printing above-average participation, which gives additional weight to whatever the pressure reading shows. A reading below 0.80x flags a low-participation bar — useful context when a pressure signal appears but volume is not backing it. This data lives in the HUD and updates every bar within the active session.
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Chart Visuals
Oscillator Line
The main oscillator is the Money Flow Z-Score plotted as a continuous line against the zero axis. The line is colored green when pressure is bullish and red when bearish, with the intensity of the color constant across both states. A soft glow layer behind the line (toggleable) reinforces the directional reading without adding clutter.
Zero Line
The zero line is the neutral dividing line between net buying and net selling pressure. Crossings of the zero line are meaningful — they mark the shift from net bullish participation to net bearish, or vice versa — and have dedicated alert conditions.
HMA Signal Line
The blue signal line is the HMA-smoothed version of the Z-score. It acts as a direction filter and a trend reference for the oscillator. When the oscillator is above the signal line and both are rising, pressure alignment is confirmed. When the oscillator crosses below the signal line, it is an early sign of deterioration even if the oscillator itself has not crossed zero yet.
Sigma Bands
Four reference lines mark the ±1 sigma and ±2 sigma levels. The inner bands (dashed) mark elevated pressure territory — statistically significant, but not extreme. The outer bands (solid) mark extreme pressure readings — statistically uncommon and historically associated with either climactic moves or exhaustion.
Zone Fills
Optional background shading between the sigma bands makes the pressure regimes immediately readable at a glance. A subtle green zone fills the space between the +1 and +2 sigma lines. A subtle red zone fills the space between the -1 and -2 sigma lines. A neutral grey zone fills the space between the inner bands. These fills have no impact on calculations — they are purely visual navigation aids.
Pressure Fill
An optional fill between the oscillator line and the zero line provides instant directional context. Green fill above zero, red fill below zero. This is particularly useful when the oscillator is making small movements near the zero line where directional color alone is harder to read quickly.
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HUD Breakdown
The HUD renders as a corner table (default position: top right, toggleable to any corner). It provides a live read of the five most important data points from the indicator without requiring you to hover over the chart or consult the data window.
State — The current pressure classification based on the hysteresis-stabilized state engine. Reports one of: Neutral, Elevated Buying, Extreme Buy Pressure, Elevated Selling, or Extreme Sell Pressure. The cell background color is green for bullish states, red for bearish, and muted blue for neutral.
Z-Score — The current Money Flow Z-Score expressed in sigma units to two decimal places. This is the raw number behind the oscillator line. Positive values indicate above-average buying pressure; negative values indicate above-average selling pressure. The cell background reflects the current pressure regime.
Signal — The current direction of the HMA signal line: Rising, Falling, or Flat. This one-word read tells you at a glance whether the smoothed pressure trend is accelerating, decelerating, or transitioning.
Participation — The current bar's volume expressed as a multiple of the session average. Displayed to two decimal places with an "x" suffix (e.g., 1.43x). Green when above 1.20x, red when below 0.80x, neutral otherwise.
Windows — Displays the active lookback and normalization window settings in the format "10 / 40z" so you can immediately see what calculation parameters are in play without opening the settings panel.
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Logic Layers
The indicator operates across three stacked logic layers that work together:
Layer 1 — Pressure Generation. Per-bar money flow multiplier × volume, summed over the lookback window and normalized by total volume. This produces the raw directional reading before statistics are applied.
Layer 2 — Statistical Normalization. The raw ratio is run through the rolling Z-score against the normalization window. This converts the raw reading into a statistically scaled value that is instrument-agnostic and session-aware.
Layer 3 — State Classification. The Z-score is classified into one of five pressure states using the hysteresis-stabilized threshold logic. This state drives the HUD display, color outputs, and alert logic.
The session participation tracker runs as a parallel calculation that does not influence the oscillator itself — it is purely a context layer that adds interpretive weight to whatever the main oscillator is showing.
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Alerts
The ATC MFO includes four alert conditions. All fire on state transitions or zero-line crosses, not on every bar within a given state. This means you will never get spammed with alerts while an existing condition persists — alerts only fire at the moment something changes.
MFO: Extreme Buying Pressure — Fires when the pressure state transitions into Extreme Buy territory (Z-score crosses above the outer sigma band). This marks a statistically significant acceleration of buying participation.
MFO: Extreme Selling Pressure — Fires when the pressure state transitions into Extreme Sell territory (Z-score crosses below the outer sigma band). This marks a statistically significant acceleration of selling participation.
MFO: Zero-Line Cross Up — Fires when the Z-score crosses above zero — the moment when net buying pressure emerges after a net bearish reading.
MFO: Zero-Line Cross Down — Fires when the Z-score crosses below zero — the moment when net selling pressure emerges after a net bullish reading.
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How to Trade With It
The ATC Money Flow Oscillator is not a signal generator. It does not tell you when to buy or sell. It tells you what participation-weighted pressure is doing so you can make better decisions about the trades your other analysis is already identifying. Use it as a confirmation and context layer.
Step 1 — Establish your directional bias. Use your preferred method — price structure, trend analysis, key levels, or market context — to identify the direction you are considering trading. The MFO confirms or contradicts that bias.
Step 2 — Check the Z-score and state. Before entering a trade, look at the HUD State and Z-Score readings. For a long entry, you want to see the state reading Neutral, Elevated Buying, or Extreme Buy Pressure, and the Z-score above zero. For a short entry, the inverse applies. If you are looking for a long and the MFO shows Elevated Selling, consider waiting for pressure to realign.
Step 3 — Check the signal line direction. The HMA signal line direction (shown in the HUD as Rising, Falling, or Flat) tells you whether pressure is accelerating or decelerating. The strongest confirmation is when the oscillator is above zero, the state is bullish, and the signal is rising. The weakest setup is when the oscillator and signal are diverging.
Step 4 — Check participation. Look at the Participation reading in the HUD. A pressure signal with 1.3x or higher participation means volume is actively supporting the move. A pressure signal with 0.7x participation means the move is happening on thin volume — be cautious about the sustainability of that signal.
Step 5 — Use the sigma bands for context. Readings near the outer sigma bands (+2 or -2) indicate extreme conditions. This can mean two things depending on context: either you are seeing climactic momentum that is likely to continue briefly before exhausting, or you are seeing exhaustion that is setting up a reversal. Use price structure to distinguish. In trending conditions, extreme readings in the direction of the trend are continuation signals. In range-bound conditions, extreme readings against key levels are often fading opportunities.
Step 6 — Use the zero-line cross alerts as context shifts. The zero-line cross alerts are useful as early-warning notifications that the character of participation is changing, even before price structure confirms it. A zero-line cross up while price is still above a key support level is a useful heads-up that buyers are reasserting. A zero-line cross down while price is approaching resistance is worth noting.
Step 7 — Do not fight extreme readings. When the MFO is printing Extreme Buy or Extreme Sell Pressure and the signal line is confirming, the path of least resistance is in that direction. The most common mistake traders make with normalized oscillators is fading strong readings too early. A +2 sigma reading does not mean the pressure is about to reverse — it means pressure is statistically extreme, and statistically extreme trends tend to resolve either through continued momentum or a period of neutralization before the next move.
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Settings Reference
Core Calculation
• Money Flow Lookback (default 10) — Bars used for the rolling money flow sum. Shorter values make the oscillator more responsive to recent bars; longer values smooth out intrabar noise. The default of 10 was derived from a full optimization sweep on QQQ at 1-minute resolution.
• Z-Score Normalization Window (default 40) — The rolling window used to compute the mean and standard deviation for Z-score scaling. This determines how "recent" the statistical baseline is. 40 bars is the optimized default; increasing this anchors the baseline to a longer history.
• Signal Line HMA Length (default 6) — The HMA smoothing length for the signal line. Shorter values produce a more reactive signal line; longer values produce a smoother one. HMA is used instead of SMA or EMA to minimize lag.
Pressure Bands (Sigma)
• Inner Band (default 1.0 sigma) — The threshold for Elevated Buying and Elevated Selling states. Readings beyond this line are statistically significant relative to the rolling window.
• Outer Band (default 2.0 sigma) — The threshold for Extreme Buy and Extreme Sell states. Readings beyond this line are statistically uncommon.
• State Hysteresis (default 0.10 sigma) — The neutral buffer applied to state transitions. Prevents the HUD state label from flickering when the Z-score is hovering near a threshold.
Session
• Session (default 0930-1600) — The session window used for the participation tracker and session-aware logic.
• Session Timezone (default America/New_York) — The timezone applied to the session definition.
Instruments and Timeframes
The ATC Money Flow Oscillator is validated and recommended for use on the following instruments and timeframes.
Instruments: ES, NQ, CL, GC, SPY, QQQ, major equities, major FX pairs.
Timeframes: 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, Daily.
The indicator functions correctly on any instrument and timeframe that carries volume data. It is not suitable for instruments without volume reporting, such as some spot FX feeds.
Indicator
ATC Adaptive MA RibbonWhat It Is
The ATC Ribbon is a four-line moving average ribbon that automatically adjusts its sensitivity to match current market conditions. Unlike standard moving average ribbons that use fixed settings regardless of what the market is doing, the ATC Ribbon detects whether the market is trending, ranging, or transitioning — and tightens or widens the ribbon accordingly. The result is a cleaner, more responsive trend tool that reduces whipsaw in choppy conditions and stays tight to price during directional moves.
This is not a signal generator. It is a visual context engine — designed to answer one question at a glance: what is the market doing right now, and how strong is it doing it?
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Who It's Built For
The ATC Ribbon is built for active traders working intraday to swing timeframes on futures, equities, and forex. It serves traders who use moving averages as part of their directional bias toolkit but are frustrated by the classic tradeoff: fast MAs that whipsaw in ranges, or slow MAs that lag behind trends.
If you've ever wished your moving average ribbon would behave differently in a trending market than a choppy one — without you having to manually change settings — this is what that looks like.
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Core Concept
At its foundation, the ATC Ribbon plots four moving averages: one Hull Moving Average (HMA) as the fast lead line, and three Exponential Moving Averages (EMAs) at medium, slow, and anchor lengths. This fixed architecture — HMA + EMA + EMA + EMA — never changes. The MA types stay consistent so you always know what you're reading.
What adapts is the length configuration. The indicator runs a manual ADX calculation in the background to classify the current environment into one of three regimes:
Trend — ADX is elevated, confirming strong directional movement. The ribbon tightens by applying a multiplier below 1.0 to all lengths, making the MAs more responsive and keeping them close to price during runs.
Range — ADX is low, confirming a lack of directional conviction. The ribbon widens by applying a multiplier above 1.0, smoothing out noise and reducing false crossover signals during chop.
Transition — ADX sits between the two thresholds. The ribbon uses its base (default) lengths, representing a neutral stance while the market decides its next move.
All three ribbon configurations are precomputed on every bar. The indicator doesn't recalculate on the fly — it simply selects the appropriate pre-built set based on the current regime. This eliminates the instability and repainting issues that plague most "adaptive" moving average tools.
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ATC Ribbon Upgrades Over Standard MA Ribbons
HMA Lead Line — The fast MA uses a Hull Moving Average instead of a standard EMA or SMA. HMA delivers significantly less lag at equivalent smoothing depth, giving you an earlier read on momentum shifts without adding noise.
Regime-Adaptive Lengths — Instead of one static ribbon that traders manually adjust for different conditions, the ATC Ribbon precomputes three discrete configurations and transitions between them using hysteresis-gated ADX classification. You get one ribbon that acts like three, without ever needing to touch your settings.
Hysteresis on Everything — Both the regime state and the alignment bias label are protected by hysteresis buffers. This means the indicator won't flicker back and forth at boundary values. A regime must clear its threshold by a user-defined margin before the indicator acknowledges the transition. The same logic applies to the bullish/bearish alignment label — it must hold its new state for a configurable number of bars before the HUD updates. This is the difference between a tool you can trust and one that makes you second-guess it.
Alignment Scoring — The ribbon doesn't just show four lines. It calculates a composite alignment score (0–100) based on two components: stack order (are the MAs properly sequenced from fast to slow?) and slope agreement (are all four MAs rising or falling together?). This score drives the ribbon color intensity and gives you a single number that quantifies how clean the current trend structure is.
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Chart Visuals — What You'll See
The Four MA Lines — The fast HMA leads in a slightly thicker line. The medium and slow EMAs follow in thinner lines. The anchor EMA plots in a distinct darker blue, thicker line — it acts as your structural reference, similar to a 200 EMA.
Gradient Ribbon Fill — Between each adjacent pair of MAs, a semi-transparent fill creates a layered gradient effect. The fill between the fast and medium MA is the most opaque; the fill between the slow and anchor MA is the most transparent. This produces a ribbon that visually "fades" from the leading edge to the structural anchor, giving you an intuitive sense of ribbon width and separation at a glance.
Color — The entire ribbon shifts color based on the current alignment bias. Green when the stack and slope structure favors bullish. Red when it favors bearish. Blue when the alignment is neutral or transitional. The color intensity scales with the alignment score — a strong, well-ordered trend produces rich, saturated color; a weak or mixed alignment produces a muted, faded ribbon.
Regime Background Wash — A subtle background tint appears during confirmed Trend and Range regimes. In Trend, the background takes on the current ribbon color at very low opacity. In Range, it shifts to a neutral blue tint. This ambient visual cue lets you see the regime classification without looking at the HUD.
Regime Change Pulse — When the market transitions from one regime to another, a single-bar accent-colored background pulse fires. This is your visual alert that the ribbon just switched configurations.
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The HUD — Your Dashboard at a Glance
The HUD is a compact table displayed in your chosen chart corner (default: top right) that reports five real-time data points:
Regime — Displays the current regime label (Trend, Range, or Transition) alongside the live ADX value. This tells you both what the indicator thinks the market is doing and why it thinks that.
Alignment — Shows the current directional bias: Bullish, Bearish, or Neutral. Color-coded to match the ribbon.
Score — The composite alignment score expressed as a value out of 100. A +87/100 in bullish alignment means 87% of the stack order and slope criteria favor upside. This number lets you gauge trend quality, not just trend direction.
Config — Displays the active regime multiplier and the four MA lengths currently in use (e.g., 0.70x | 6/15/35/140). This makes the adaptive behavior completely transparent — you always know exactly what settings the ribbon is running.
Price — Reports whether the current close is Above Anchor, Below Anchor, or Neutral relative to the anchor EMA. This is a fast structural reference — above anchor generally favors longs, below anchor generally favors shorts.
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Logic Layers — How the Indicator Thinks
Layer 1: ADX Regime Detection — The indicator runs a full manual ADX calculation (not a black-box wrapper) and classifies the result against two user-defined thresholds. Below the Range threshold, the market is classified as ranging. Above the Trend threshold, it's classified as trending. Between the two, it's in Transition. A hysteresis buffer prevents the regime from flickering at the boundary.
Layer 2: Precomputed Ribbon Selection — All three ribbon configurations (Trend, Transition, Range) are computed on every bar. When the regime state changes, the indicator simply swaps which set of MA values it displays. There is no recalculation lag, no repainting, and no series-length instability.
Layer 3: Alignment Scoring — Eight binary criteria are evaluated: four for stack order (is fast above medium? medium above slow? slow above anchor? fast above anchor?) and four for slope (is each MA rising or falling compared to its prior bar?). Bullish criteria accumulate into a bull score, bearish criteria into a bear score. The higher score determines the bias, and the magnitude drives color intensity.
Layer 4: Hysteresis Gating — Both the regime label and the alignment bias label pass through hysteresis filters before updating. The regime requires ADX to clear its threshold by a configurable buffer before flipping. The alignment bias requires the new state to persist for a configurable number of bars before the HUD acknowledges it. This ensures that everything you see on the chart represents a confirmed state, not a marginal one.
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Alerts
The ATC Ribbon includes seven configurable alert conditions:
• Entered Trend Regime — Fires when the market transitions into a confirmed Trend state.
• Entered Range Regime — Fires when the market transitions into a confirmed Range state.
• Entered Transition Regime — Fires when the market moves into the neutral Transition zone.
• Bullish Alignment — Fires when the ribbon alignment flips to Bullish after hysteresis confirmation.
• Bearish Alignment — Fires when the ribbon alignment flips to Bearish after hysteresis confirmation.
• Price Crossed Above Anchor — Fires when the close crosses above the anchor EMA.
• Price Crossed Below Anchor — Fires when the close crosses below the anchor EMA.
All alerts are one-per-event — they fire on the bar where the state change is confirmed, not on every bar where the condition is true.
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How to Trade with the ATC Ribbon
Step 1 — Read the Regime. Before anything else, check the HUD or the background wash. If the market is in Trend regime, you're looking for continuation setups. If it's in Range regime, you're looking for mean-reversion or waiting for a breakout. If it's in Transition, stay patient — the market hasn't committed yet.
Step 2 — Check the Alignment. A Bullish alignment with a high score (above 70) tells you the ribbon is well-ordered and all four MAs are rising together. That's a clean trend structure. A Bearish alignment with a high score tells you the same thing to the downside. Neutral or low-score readings mean the trend structure is messy — be selective or wait.
Step 3 — Use the Anchor EMA as Your Structural Line. The anchor EMA (default 200-period, adjusted by regime) serves as your macro bias filter. Price above the anchor favors long setups. Price below favors shorts. This is not a signal — it's a filter that keeps you on the right side of the larger structure.
Step 4 — Look for Pullbacks into the Ribbon. In a confirmed Trend regime with strong alignment, the highest-probability entries come when price pulls back into the ribbon (toward the medium or slow EMA) and then resumes in the direction of the alignment. The ribbon acts as a dynamic support/resistance zone during trends.
Step 5 — Respect Range Regime Behavior. When the ribbon is in Range mode, it automatically widens to filter out noise. During these periods, the ribbon is telling you that directional conviction is low. Use this as a signal to reduce position sizing, tighten stops, or wait for a regime change. Forcing trend trades during a confirmed Range regime is fighting the indicator.
Step 6 — Watch for Regime Change Pulses. The single-bar background pulse that fires on regime transitions is one of the most actionable features. A shift from Range to Trend, confirmed by rising alignment score, is often the early signal that a new directional move is underway. These transitions are where the best risk/reward setups tend to form.
Step 7 — Combine with Your Edge. The ATC Ribbon is a context and bias tool, not a standalone entry signal. It's designed to be layered with your existing strategy — whether that's price action, volume analysis, key levels, or other indicators. Let the ribbon tell you what kind of market you're in and which direction it favors, then use your primary method to time the entry.
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Settings Reference
Source — The price series used for all four MAs. Default: Close.
Base Lengths (Transition Regime) — The default MA lengths used during the Transition regime. Fast HMA: 9. Medium EMA: 21. Slow EMA: 50. Anchor EMA: 200. These are the "home base" settings that the Trend and Range multipliers adjust from.
ADX Length — The smoothing period for the ADX calculation. Default: 14. Higher values produce a slower, smoother regime classification.
Range Threshold — ADX below this value classifies the market as Range. Default: 15.0.
Trend Threshold — ADX above this value classifies the market as Trend. Default: 25.0.
ADX Hysteresis Buffer — The additional ADX distance required to exit a confirmed regime. Default: 2.0. Higher values make regime states stickier and reduce flicker.
Trend Regime Multiplier — Applied to all base lengths during Trend regime. Default: 0.70 (tightens the ribbon by 30%).
Range Regime Multiplier — Applied to all base lengths during Range regime. Default: 1.30 (widens the ribbon by 30%).
Alignment Hysteresis — Number of bars a new alignment bias must persist before the HUD and color update. Default: 2. Set to 0 for immediate updates.
Visual Toggles — Show/hide ribbon fill, MA lines, and regime background independently. All default to on.
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Recommended Instruments and Timeframes
The ATC Ribbon is built and tested for: ES, NQ, YM, CL, GC, SPY, QQQ, major FX pairs, and large-cap stocks.
Recommended timeframes: 15-minute, 1-hour, 4-hour, and Daily. The regime detection and alignment scoring are calibrated for these intervals. Lower timeframes (1m, 5m) will produce more frequent regime changes and may require adjusted ADX thresholds. Higher timeframes (Weekly, Monthly) will work but regime transitions will be infrequent.
Indicator
ATC SuperTrend Pro What It Is
ATC SuperTrend Pro is a trend-following indicator built on the classic SuperTrend framework and rebuilt from the ground up with three layers of intelligence the retail version simply does not have: a volatility regime engine that adapts the ATR multiplier to current market conditions, a volume participation classifier that tells you who is behind each trend flip, and a session-aware signal filter that focuses your attention on the time windows where trend flips have the highest historical follow-through. The result is a SuperTrend that doesn't just tell you which direction price is moving — it tells you whether the flip is worth acting on.
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Who It's Built For
ATC SuperTrend Pro is designed for active intraday traders who already understand trend-following but are tired of getting whipsawed by low-conviction flips in choppy, low-volume conditions. It works best on liquid instruments with clearly defined session structure. The indicator ships with optimized pre-built profiles for QQQ on the 5-minute and 1-minute timeframes, and a fully configurable Custom mode for traders who want to tune it to other instruments or session styles.
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Core Concept
At its foundation, this is still a SuperTrend indicator. Price closes below the dynamic ATR band, the trend flips bearish. Price closes above the band, the trend flips bullish. The band plots directly on the chart as your support and resistance anchor for the current trend.
What makes ATC SuperTrend Pro different is what happens around that flip before it is presented to you. Every flip is evaluated against three filters simultaneously:
1. Is the volatility environment appropriate? The indicator continuously measures where current ATR sits within its recent historical range. If volatility is in a low regime, the ATR multiplier compresses slightly, pulling the band closer to price and making the indicator more sensitive. If volatility is in a high regime, the multiplier expands, giving the band more room and reducing noise-driven flips. If the market is in a normal regime, the base multiplier is used as-is.
2. Is there meaningful participation behind the flip? Every flip is classified by the volume ratio at the moment of the flip — current bar volume divided by the rolling average volume. Flips that occur on low relative volume are classified as Low Participation. Flips that occur on high relative volume are classified as High Participation. This distinction matters: a trend flip on thin volume is structurally weaker than a flip that occurs with genuine market engagement behind it.
3. Is this flip occurring at a time of day when trend signals are worth acting on? Not all hours of the trading session are equal. Choppy midday drift produces a high percentage of false flips that reverse within a few bars. ATC SuperTrend Pro lets you restrict signal qualification to specific time windows — the opening hour, the second hour, and the final hour — so that the flips that make it through to a Qualified status are the ones occurring when market structure is most directional.
Only flips that pass all three gates simultaneously are elevated to Qualified status and trigger the primary markers and alerts.
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ATC SuperTrend Pro Upgrades
The standard retail SuperTrend uses a fixed ATR multiplier applied uniformly regardless of whether the market is trending quietly or exploding through key levels. ATC SuperTrend Pro replaces that single fixed value with three layered upgrades:
Volatility Regime Engine — A rolling ATR percentile rank determines whether the market is currently in a Low, Normal, or High volatility regime. Each regime applies a different effective ATR multiplier using hysteresis-locked state transitions, meaning the indicator doesn't flicker back and forth between regimes on every bar when ATR sits near a threshold. The regime boundaries are defined by empirical percentile ranks (33rd and 67th percentile by default) rather than arbitrary round-number breakpoints.
Participation Classification — Volume at the time of each flip is compared against a rolling volume moving average. Every flip is tagged with one of three participation states — Low Participation, High Participation, or Exhaustion Risk — before any signal is qualified.
Exhaustion Risk Detection — A specific combination of conditions — high volume participation during a high volatility regime — is flagged as Exhaustion Risk rather than a clean directional signal. This is the market condition most commonly associated with climactic moves followed by reversal, and it is the one condition most retail SuperTrend tools would happily hand you as a clean entry signal. ATC SuperTrend Pro surfaces it explicitly and excludes it from qualified signals by default.
Session Time Window Filtering — Seven configurable signal windows let you define when the indicator can issue a Qualified signal. The pre-built QQQ profiles apply empirically validated time windows out of the box.
Timeframe Profiles — The Profile Engine loads pre-optimized parameter sets for QQQ 5-minute and QQQ 1-minute trading so new users don't have to guess at calibration.
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Chart Visuals
The SuperTrend Line — The core line plots directly on price. In a bullish trend it sits below price, acting as dynamic support. In a bearish trend it sits above price, acting as dynamic resistance. The line color shifts cleanly between electric green (bullish) and electric red (bearish) on each confirmed flip. The line uses a break style so it does not draw through gaps.
Glow Layer — A wide, semi-transparent glow surrounds the SuperTrend line at 78% transparency, creating a visual halo effect. This is a cosmetic enhancement that makes the trend direction immediately readable on any chart background. It can be toggled off in settings.
Trend Fill — A gradient fill extends from the SuperTrend line to the price close, color-matched to the current trend direction. Fill opacity adjusts automatically by volatility regime: tighter and more opaque in low-volatility conditions, slightly more transparent in high-volatility conditions where the fill region widens. This gives you a passive visual read on the current regime without requiring you to check the HUD.
Candle Tinting — An optional setting tints every candle with a light wash of the current trend color at 72% transparency. Off by default.
Qualified Flip Markers (Q triangles) — The primary actionable markers. A green upward triangle with a white "Q" label appears below the bar on a Qualified Bull Flip. A red downward triangle with a white "Q" label appears above the bar on a Qualified Bear Flip. These are the only markers that trigger the primary alert conditions.
Low Participation Markers (small circles) — Cyan circles mark flips that occurred on below-average volume. These flips did not pass the participation filter for a Qualified signal. They are visible context — not action items.
High Participation Markers (small diamonds) — Gold diamonds mark flips that occurred on above-average volume but did not qualify due to time window filtering or another gate. These are structurally stronger flips than the circles, and they are worth noting even when they fall outside the active signal window.
Exhaustion Risk Markers (X crosses) — Orange X marks appear on flips classified as Exhaustion Risk — high participation volume during a high volatility regime. These are the most important non-qualified flips to understand. They are not entry signals. They are structural warnings.
Volatility Regime Change Markers (tiny accent X) — A small gold-tinted X appears at the bottom of the chart whenever the volatility regime transitions between Low, Normal, and High. This is a background awareness marker, not a trading signal.
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HUD Breakdown
The HUD is a two-column table that anchors to your chosen chart corner and stays current on every bar close. Each row reflects a live or persistent state:
Profile — Displays the active profile: QQQ 5m, QQQ 1m, or Custom. Gold text.
Trend — Current SuperTrend direction: Bullish (green) or Bearish (red). This updates on every confirmed bar close.
Signal Window — Active or Filtered. Shows whether the current bar falls within the configured actionable time window. Green when active, grey when filtered. Useful for understanding in real time whether a flip occurring right now would qualify.
Window Mode — The abbreviated label of the current time window configuration (e.g., "Open + Final", "2nd + Final").
Action Mode — The current participation mode filter displayed in abbreviated form (e.g., "Low Part.", "Non-Exh.", "All Flips").
Vol Regime — The current volatility regime: Low (gold), Normal (grey), or High (red). Updates whenever the regime transitions.
Eff. Mult — The effective ATR multiplier currently in use after regime adjustment. In a Low volatility regime this will be less than the base multiplier. In a High volatility regime it will be greater.
Current Part. — The current bar's volume participation ratio expressed as a multiple of the rolling average (e.g., "0.84×" means below-average volume, "2.31×" means more than double average volume). Color-coded: cyan for low participation, gold for high.
Last Flip — The direction of the most recent trend flip (Bull Flip or Bear Flip).
Flip Type — The participation classification assigned to the last flip: Low Participation, High Participation, or Exhaustion Risk. Color matches the corresponding marker color.
Qualified — Whether the last flip achieved Qualified status (green "Qualified") or was filtered out (grey "Filtered").
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Logic Layers
Reading the layers together is what separates ATC SuperTrend Pro from a standard flip-and-go indicator.
Layer 1: Trend Direction — The SuperTrend line tells you what direction the tool currently calls. This is the structural backbone. Every other layer is commentary on that backbone.
Layer 2: Volatility Regime — The regime tells you how tight or loose the market is relative to its own recent history. A Low regime means the market is coiling. A High regime means the market is already expanded. Flips in High regime conditions are more suspect — they may be climactic rather than initiating.
Layer 3: Participation — Participation tells you whether the flip had genuine volume engagement or whether it was a thin-air move. Low-participation flips in a trending environment sometimes resolve as continuation after a shallow pullback touches the SuperTrend band. High-participation flips with the trend have the most structural conviction behind them.
Layer 4: Exhaustion Risk — The highest-priority warning in the system. When all three of the following are simultaneously true — a flip occurred, volume is elevated above the participation threshold, and the market is in a High volatility regime — the tool flags Exhaustion Risk. This combination historically corresponds to moves that spike through the SuperTrend band on a burst of volume only to reverse back. Do not treat this as a confirmed directional flip.
Layer 5: Time Window — The time window filter is the final gate. Even a structurally clean flip — Low participation, Normal regime, correct direction — will not receive Qualified status if it occurs during a filtered time window. This is by design. Qualified signals are reserved for periods of the session where trend initiation is most reliable.
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Alerts
ATC SuperTrend Pro includes eight distinct alert conditions covering every layer of the system.
Qualified Bull Flip — Fires on a confirmed bullish flip that passes all three gates: time window, participation mode, and exhaustion exclusion. This is the primary long signal alert.
Qualified Bear Flip — Fires on a confirmed bearish flip that passes all three gates. This is the primary short signal alert.
Low Participation Bull Flip — Fires on a bullish flip classified as Low Participation, regardless of time window qualification.
Low Participation Bear Flip — Fires on a bearish flip classified as Low Participation, regardless of time window qualification.
High Participation Bull Flip — Fires on a bullish flip classified as High Participation but not Exhaustion Risk.
High Participation Bear Flip — Fires on a bearish flip classified as High Participation but not Exhaustion Risk.
Exhaustion-Risk Bull Flip — Fires when a bullish flip occurs simultaneously with High Participation and a High Volatility regime. Use as a caution alert, not an entry trigger.
Exhaustion-Risk Bear Flip — Same logic for bearish direction.
Volatility Regime Change — Fires whenever the volatility regime transitions between Low, Normal, and High.
Any Flip — Fires on every confirmed trend flip regardless of classification. Useful for monitoring purposes when you want to observe all flip activity.
All flip-based alerts respect the Confirm Markers / Alerts On Bar Close setting, meaning they will not fire mid-bar — only on a confirmed bar close.
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How to Trade (Step-by-Step)
Step 1: Select your profile. If you are trading QQQ on the 5-minute chart, select QQQ 5-Minute. If you are on the 1-minute chart, select QQQ 1-Minute. For other instruments or timeframes, select Custom and configure the parameters manually.
Step 2: Confirm the signal window is Active. Check the HUD's Signal Window row before taking any action on a flip. If it reads "Filtered," you are outside the active time window. The indicator is still tracking trend direction, but Qualified signals are not being issued. You can watch the flip and mark the level, but wait for a time-window-active retest or a new flip within the active window before acting.
Step 3: Wait for a Q marker. Only flips that print the triangle with the white Q label are Qualified signals. Do not act on circles, diamonds, or X marks as primary entries. Those markers are classification information.
Step 4: Confirm the Flip Type in the HUD. After a Q marker prints, check the Flip Type row in the HUD. "Low Participation" means the flip occurred on thin volume — the move may be cleaner but should be confirmed with continuation. "High Participation" means strong volume engagement — this flip has more conviction, though the participation alone does not guarantee follow-through.
Step 5: Note the volatility regime. If the Vol Regime row shows "High" and a flip just printed, proceed with tighter sizing than normal. High-regime flips on elevated volume are the conditions where Exhaustion Risk is most likely. A High regime with a Qualified signal that is classified as High Participation is structurally the strongest setup the tool will generate — but it is also the setup most worth confirming with at least one or two bars of follow-through before adding size.
Step 6: Use the SuperTrend line as your stop anchor. Once in a trade, the SuperTrend line is your structural stop reference. In a long trade, price should remain above the line. A confirmed close back below the line flips the trend and is your exit signal. Do not move your stop to breakeven prematurely if price is simply oscillating near the line within a Low volatility regime — the tighter multiplier is doing its job.
Step 7: Respect Exhaustion Risk X markers. If an X appears on a flip that was otherwise pointing in your favor, treat it as a warning to reduce size or stay flat rather than chasing the move. These prints are the system telling you that the flip is accompanied by the exact conditions most associated with reversal, not continuation.
Step 8: Set your preferred alerts. For a clean setup, set alerts on Qualified Bull Flip and Qualified Bear Flip only. If you want supplementary context, also set the Volatility Regime Change and Exhaustion-Risk alerts so you are notified of structural shifts even when no Qualified flip is pending.
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Settings Reference
Profile Engine
• Timeframe Profile — Selects QQQ 5-Minute, QQQ 1-Minute, or Custom. When a pre-built profile is selected, the Custom input groups below are overridden by the profile values. Custom exposes all parameters for manual tuning.
Custom SuperTrend Core (active in Custom mode only)
• Custom ATR Length — The lookback period for ATR calculation. Shorter values respond faster to volatility shifts; longer values are smoother. Default: 10.
• Custom Base ATR Multiplier — The base envelope width as a multiple of ATR. This value is further modified by the regime engine. Default: 2.5.
• Source — Price anchor for the ATR envelope. hl2 (the average of high and low) is the classic SuperTrend source and the recommended starting point.
Custom Volatility Regimes (active in Custom mode only)
• Custom Regime Lookback — The number of bars used to establish the ATR percentile baseline. Default: 100.
• Custom Low-Vol Percentile — ATR readings below this percentile rank are classified as Low volatility. Default: 33.
• Custom High-Vol Percentile — ATR readings above this percentile rank are classified as High volatility. Default: 67.
• Custom Regime Hysteresis Buffer (%) — A buffer around each regime threshold that prevents the indicator from rapidly switching regimes on marginal ATR readings. Default: 3.0%.
• Custom Low-Vol Mult Adjust — Multiplier scaling factor applied in Low volatility regimes. Values below 1.0 tighten the band. Default: 0.85.
• Custom High-Vol Mult Adjust — Multiplier scaling factor applied in High volatility regimes. Values above 1.0 widen the band. Default: 1.15.
Custom Participation Classification (active in Custom mode only)
• Enable Participation Classification — Toggles the volume participation layer on or off.
• Custom Participation MA Length — The rolling average lookback for the volume baseline. Default: 20.
• Custom High Participation Threshold (× MA) — The volume multiple at which a flip is classified as High Participation. Default: 1.5×, meaning volume must be 50% above its rolling average.
• Tag High-Vol / High-Participation Flips As Exhaustion Risk — When enabled, flips meeting both the High Participation and High Volatility regime criteria are tagged as Exhaustion Risk rather than High Participation.
Signal Qualification
• Confirm Markers / Alerts On Bar Close — When enabled, no markers, HUD flip updates, or alerts fire until the bar is fully confirmed. Recommended for live trading to avoid acting on signals that repaint within the bar.
• Custom Actionable Signal Mode — Defines which participation class of flips can achieve Qualified status. Options: Low Participation Only, High Participation Only, All Non-Exhaustion, All Flips.
• Exclude Exhaustion-Risk Flips From Qualified Signals — When enabled, Exhaustion Risk flips are never elevated to Qualified status regardless of other criteria. On by default.
Signal Time Windows
• Signal Time Zone — The timezone used for all session window definitions. Default: America/Chicago (CT).
• Custom Actionable Signal Window — Selects which periods of the session can produce Qualified signals. Options: All Day, Opening Hour + Final Hour, Second Hour + Final Hour, Avoid Afternoon Drift, Opening Hour Only, Second Hour Only, Final Hour Only.
• Opening Hour Window — Defines the opening window session string. Default: 0830–0929 CT.
• Second Hour Window — Defines the second-hour window. Default: 0930–1029 CT.
• Final Hour Window — Defines the final-hour window. Default: 1400–1459 CT.
• Afternoon Drift Window To Avoid — Defines the midday drift window excluded when using the Avoid Afternoon Drift mode. Default: 1230–1359 CT.
Premium Visuals
• Shade Trend Fill — Enables the gradient fill between the SuperTrend line and price close. On by default.
• Show Line Glow — Enables the wide semi-transparent glow layer behind the SuperTrend line. On by default.
• Tint Candles By Trend — Applies a light color wash to candles matching the current trend direction. Off by default.
• Show Non-Qualified Flip Class Markers — When enabled, Low Participation circles, High Participation diamonds, and Exhaustion Risk X marks are drawn for flips that did not achieve Qualified status. These are informational context markers. Recommended on.
• Core Line Width — The width of the primary SuperTrend line in pixels. Range 1–5. Default: 3.
Colors All default colors are fully customizable: Electric Bullish Trend, Electric Bearish Trend, Low Participation Accent, High Participation Accent, Exhaustion-Risk Accent, Neutral, and Premium Accent.
HUD
• Show HUD — Toggles the HUD on or off.
• HUD Position — Anchors the HUD to Top Right, Top Left, Bottom Right, or Bottom Left.
• HUD Theme — Dark (dark background, white text) or Light (light background, dark text).
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Instruments & Timeframes
ATC SuperTrend Pro was developed and validated primarily on QQQ on the 5-minute and 1-minute timeframes, for which pre-built profiles are included. The Custom mode is suitable for tuning to other liquid equities, equity index ETFs, and futures instruments on intraday timeframes where RTH session structure is well-defined. The indicator is a single-timeframe tool — it does not request external timeframe data and operates entirely on the chart's current timeframe and symbol.
Allow a minimum of 100 bars of warmup before treating signals as fully calibrated. On short lookback timeframes with limited history, the ATR percentile baseline and volume moving average will stabilize as more data accumulates.
Indicator
Helix Trend Ensemble [JOAT]Helix Trend Ensemble
Introduction
Helix Trend Ensemble is an open-source trend overlay built around a three-member weighted ensemble. Instead of relying on one moving average or one crossover, Helix evaluates multiple configurable members, normalizes slope behavior, and produces a consensus trend state only when enough internal agreement is present.
The problem Helix solves is false certainty. Single-line trend tools are easy to read but easy to break. Multi-line tools often create clutter without resolving disagreement. Helix is designed to preserve a clean chart while still exposing the quality of alignment between fast, intermediate, and structural trend engines.
Core Concepts
1. Multi-Member Trend Architecture
Three independent members can each use different MA types, smoothing methods, lengths, and weights. This allows the ensemble to mix responsiveness with structural stability.
2. Weighted Consensus
The final state is not a simple majority vote. Each member contributes according to its configured weight, and the ensemble requires sufficient agreement before it promotes a directional state.
3. Slope Normalization
Raw slope values are normalized so the dashboard can express trend energy in a stable way across different length combinations.
4. Filter Layer
ATR and ADX filters help suppress weak trend states and reduce low-quality directional transitions.
5. Confirmed Regime Transitions
Directional state changes are only recognized on confirmed bars, which keeps the ensemble consistent with real-time use.
Features
Three fully configurable members: Each member supports multiple MA and smoothing combinations
Weighted consensus engine: Final state depends on internal agreement quality, not one crossover
Normalized slope score: Slope behavior is translated into a stable strength readout
Ribbon and cloud system: Trend geometry is expressed through layered fills instead of cluttered markers
Optional candle coloring: Price bars can reflect the ensemble state without altering logic
Top-right dashboard: Regime, consensus, strength, slope, agreement, filters, and last flip are summarized continuously
How to Use This Indicator
Step 1: Read regime and consensus together
A bullish or bearish state is more meaningful when consensus is high and filters are passing.
Step 2: Watch slope and strength
An aligned ensemble with weakening slope often signals late-trend conditions rather than fresh expansion.
Step 3: Use Helix as a bias filter
Helix works well as a directional framework for execution models that need a clean trend gate.
Indicator Limitations
Longer member lengths will intentionally delay reversals
High responsiveness settings can increase whipsaws
Consensus does not eliminate all false trends; it only improves structural filtering
The script is a trend-classification tool, not a full strategy
Originality Statement
Helix Trend Ensemble is original in the way it combines configurable member diversity, weighted consensus, slope normalization, and clean institutional visualization into one open-source trend framework.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trend-state tools can fail during rapid reversals, compressed markets, or structurally irregular conditions. Use proper risk control at all times.
Indicator
