Noctis Parallel Geometry [JOAT]Noctis Parallel Geometry
Introduction
Noctis Parallel Geometry is an open-source channel-construction and ratio-lattice overlay designed to organize price into ascending or descending parallel structures built from confirmed pivots. It maps primary boundaries, internal levels, stretch lines, and dynamic tracking projections so the user can see where price is moving inside a broader geometric framework.
The problem this script solves is inconsistent channel drawing. Manually drawn channels vary from user to user, and many automatic channel tools do not show how the geometry was constructed or how price is behaving inside it after the channel is established. Noctis Parallel Geometry turns confirmed pivot relationships into a persistent structure with historical roll-forward behavior.
Core Concepts
1. Pivot-Driven Channel Construction
Ascending geometry is built from two confirmed pivot lows plus the opposing pivot high that defines channel height. Descending geometry is built from two confirmed pivot highs plus the opposing pivot low. This creates a parallel structure rather than a freehand trendline.
2. Ratio Lattice
Once the main channel is built, the script can add internal reference levels and stretch levels. These help the user see whether price is rotating around the midline, respecting inner rails, or pushing into extended geometry.
3. Historical Channel Preservation
When a new active geometry forms, the previous one can be rolled into history instead of being deleted. Historical channels are shifted and preserved so the user can study how prior geometry resolved.
4. Dynamic Projection Tracking
The script can project a live tracking geometry from the most recent active pivot anchor and evolving extreme. This provides a developing path while the full next confirmed channel is still incomplete.
Features
Ascending and descending channel construction: Built from confirmed pivot relationships
Primary channel rails: Base and top boundaries
Inner ratio levels: Optional internal guidance lines
Stretch levels: Optional extension rails beyond the main channel
Historical geometry retention: Previous channels can remain on-chart
Dynamic tracking projection: Live provisional geometry based on current extremes
Pivot tags: Optional pivot markers for transparency
Dashboard: Displays active geometry mode and structural information
Input Parameters
Channel Engine:
Pivot Length
Extend Active Geometry
Show Historical Geometry
Historical Channel Count
Show Dynamic Projection
Ratio Lattice And Display:
Inner-level toggle
Stretch-level toggle
Historical projection offset
Pivot-tag and dashboard toggles
How to Use This Indicator
Step 1: Identify whether the active geometry is ascending or descending.
Step 2: Use the midline and inner rails to gauge whether price is rotating cleanly or losing internal balance.
Step 3: Use stretch levels as warning areas where price is pushing beyond normal channel behavior.
Step 4: Compare active geometry with preserved historical geometry to see whether the market is reusing or abandoning prior pathing.
Step 5: Treat dynamic tracking as provisional context until a fully confirmed new channel is formed.
Indicator Limitations
Channels only update after pivot confirmation, so geometry changes are intentionally delayed to avoid repainting
Fast regime changes can invalidate a channel before price spends much time respecting it
Dynamic tracking lines are exploratory guidance, not confirmed structure
This indicator describes geometry; it does not by itself determine direction or trade quality
Originality Statement
Noctis Parallel Geometry is original in how it turns confirmed pivot relationships into a parallel-channel engine with internal lattice levels, stretch rails, historical roll-forward geometry, and live tracking projection. These parts work together to create a coherent geometric framework rather than a simple trendline overlay.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Channel geometry can fail abruptly in volatile or event-driven conditions, so all analysis should be paired with appropriate risk controls.
-Made with passion by jackofalltrades
Indicator
Meridian Structure Lattice [JOAT]Meridian Structure Lattice
Introduction
Meridian Structure Lattice is an open-source market structure and zone-mapping overlay designed to visualize how price interacts with prior swing liquidity, displacement, fair value gaps, structural blocks, and supply-demand regions. It focuses on the structural side of chart reading rather than on generic trend-following averages.
The problem this script solves is fragmentation. Traders often need separate tools for BOS detection, sweep identification, imbalance mapping, and supply-demand marking. Meridian Structure Lattice consolidates those ideas into one coordinated structure model so the user can see which event happened, where it happened, and which zones remain active or invalidated afterward.
Core Concepts
1. Pivot-Based Structure Engine
Confirmed swing highs and lows are tracked with symmetric pivot logic. Those pivots become the active structural reference points for bullish and bearish breaks, as well as the levels that can later be swept without closing through them.
2. BOS Versus Shift Logic
When price closes beyond the latest active pivot high or low, the script classifies the event relative to the existing structure bias. Continuation breaks are labeled as BOS, while breaks against the prior bias are labeled as shifts.
3. Liquidity Sweeps
Sweeps occur when price trades beyond a stored pivot but closes back through it. These are displayed with event lines anchored to the original pivot zone rather than floating labels only.
4. Zone Families
The script can create and maintain fair value gaps, structural blocks, and ATR-width supply-demand zones. Each zone extends forward, can display a midpoint, can show a live price label on the right edge, and changes state when price mitigates it.
Features
Pivot-confirmed structure model: Swing highs and lows drive all event logic
Bullish and bearish BOS detection: Confirmed continuation breaks
Bullish and bearish shift detection: Regime-sensitive structural reversals
Liquidity sweep detection: Wick-through and close-back behavior against stored pivots
Fair value gap zones: Bullish and bearish imbalance regions
Structural blocks: Structure-derived reaction zones that can be upgraded after displacement
Supply and demand mapping: ATR-scaled zones projected forward
Zone midlines and price labels: Optional midpoint and right-edge price tagging
Mitigation logic: Zones can retire on close-through or wick-through behavior
Dashboard: Active zone counts, last event, sweep age, displacement state, and pivot spread
Confirmed-bar mode: Events can be restricted to confirmed candles only
Input Parameters
Structure:
Swing Length controls structural sensitivity
BOS, sweep, and label toggles control the event layer
Zones And Display:
Fair value gap, structural block, and supply-demand toggles
Supply-demand ATR width and maximum active zones per side
Displacement threshold, mitigation mode, confirmed-bar requirement, midline, price label, dashboard, and forward extension settings
How to Use This Indicator
Step 1: Identify the most recent event in the dashboard to understand whether structure is breaking or only sweeping.
Step 2: Use BOS and shift labels to determine whether the current break is continuation or reversal behavior.
Step 3: Use sweeps as failed acceptance signals around prior liquidity.
Step 4: Use active zones as forward reference areas for mitigation, continuation, or rejection.
Step 5: Monitor whether a zone remains active or has already been invalidated before treating it as tradeable.
Indicator Limitations
Pivot logic confirms after the pivot forms, so structural labels intentionally appear with delay to avoid repainting
Fast moves may skip through multiple nearby zones before the chart can display a clean response
Zone families are analytical references, not guaranteed reversal areas
Dense structure on lower timeframes can still require selective display settings for clarity
Originality Statement
Meridian Structure Lattice is original in the way it coordinates structural events and multiple forward zone families inside a single non-repainting framework. The different components are not merged for convenience alone; they are combined because BOS, shifts, sweeps, blocks, gaps, and supply-demand zones describe different parts of the same structure narrative.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not provide financial advice or guaranteed support and resistance levels. Structural events and zones are derived from historical price behavior and should be used with disciplined risk management.
-Made with passion by jackofalltrades
Indicator
Concord Execution Mandate [JOAT]Concord Execution Mandate
Introduction
Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger.
The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls.
Core Concepts
1. Regime And Context Layer
The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution.
2. Structural And Rotation Triggers
Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA.
3. Soft Alignment Model
Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting.
4. Risk Management
Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially.
Features
Adaptive regime filter: Core state engine for directional context
Higher-timeframe bias: Optional EMA-based external direction filter
Structure triggers: Confirmed BOS logic using stored pivots
Continuation and rotation entries: Additional execution paths beyond BOS
Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring
Reversion reclaim logic: Optional re-entry through a mean basis before entry
Divergence safety filter: Optional block on fresh opposing divergence
ATR and structure-based stops: Dynamic risk anchoring
Reward targets and ATR trailing: Structured exit management
Context-flip exits: Early closure when regime or bias reverses
Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties
Default Strategy Properties
Initial capital: 100000
Default order size: 5 percent of equity
Commission: 0.02 percent
Slippage: 2 ticks
Order processing: on bar close
Pyramiding: 0
How to Use This Strategy
Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed.
Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample.
Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested.
Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results.
Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment.
Strategy Limitations
This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals
More aggressive settings can increase trade count at the cost of lower selectivity
Higher-timeframe bias can conflict with local execution context during turning points
Backtest results depend on symbol, timeframe, session behavior, and execution assumptions
This strategy is designed to be realistic, not optimized for one narrow market condition
Originality Statement
Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management.
-Made with passion by jackofalltrades
Strategy
Cadence Reversion Cartography [JOAT]Cadence Reversion Cartography
Introduction
Cadence Reversion Cartography is an open-source mean-reversion and exhaustion overlay designed to locate stretched conditions around an EMA envelope and anchored VWAP framework. It focuses on mapping where price has moved too far from local balance, then grades whether a return toward value has enough supporting evidence to matter.
The problem this script solves is selective reversal timing. Price can stay overextended for longer than expected, so simple band-touch logic is not enough. Cadence Reversion Cartography combines envelope stretch, VWAP stretch, RSI exhaustion, volume impulse, rejection-candle behavior, reclaim logic, and projected response boxes so the user can distinguish weak touches from stronger reversion candidates.
Core Concepts
1. Dual Stretch Model
Price is compared to both an EMA deviation envelope and an anchored VWAP deviation layer. A long-side exhaustion condition requires price to stretch below both lower references. A short-side exhaustion condition requires price to stretch above both upper references.
2. Exhaustion Quality Filters
RSI can require oversold or overbought context, volume can require impulse relative to average participation, and candle structure can require a visible rejection profile.
3. Reclaim And Signal Grading
A setup becomes actionable only after price closes back inside the envelope on a confirmed bar. The script then scores the setup by counting how many filters aligned and promotes stronger signals to a prime grade.
4. Projection Mapping
When a setup forms, the script can draw a forward projection with a risk box, reward box, signal zone, and reclaim line. This is meant to show the structure of the reversion idea rather than acting as a promise of outcome.
Features
EMA reversion envelope: Basis plus statistical deviation bands
Anchored VWAP stretch layer: Secondary value reference around VWAP
RSI exhaustion filter: Optional momentum exhaustion gate
Volume impulse filter: Optional participation confirmation
Rejection-candle filter: Optional candle-structure confirmation
Signal grading: Standard and prime long or short responses
Signal zones and reclaim lines: On-chart response structure around the active setup
Risk and reward projection boxes: Optional forward mapping of stop and target structure
Context candle coloring: Candles can tint with stretch state
Dashboard: Displays stretch, setup bias, and active context
Input Parameters
Reversion Envelope:
Channel Length
Deviation Multiplier
VWAP Stretch Multiplier
Filters And Display:
RSI settings
Volume average and impulse multiplier
Rejection-candle requirement
Projection-box toggle, stop percent, reward multiple, projection length, and signal cooldown
Dashboard, background, candle-color, and signal-zone toggles
How to Use This Indicator
Step 1: Wait for price to stretch beyond both the EMA envelope and the VWAP stretch layer.
Step 2: Check whether RSI, volume, and rejection filters support the move.
Step 3: Wait for confirmed re-entry back inside the envelope instead of fading the first touch.
Step 4: Use the signal grade and projection structure to judge whether the setup is marginal or stronger.
Step 5: Use the basis and reclaim line as the first balance reference after entry.
Indicator Limitations
Strong directional trends can keep price stretched for extended periods and delay reversion
Volume-based confirmation is less meaningful on symbols with irregular volume reporting
Projection boxes are planning tools, not guaranteed outcomes
This script is designed for reversion analysis and is not intended to replace broader trend context
Originality Statement
Cadence Reversion Cartography is original in how it coordinates envelope stretch, VWAP stretch, filter-based exhaustion grading, and forward projection structure inside one reversion workflow. The components are combined to answer one analytical problem: not just whether price is stretched, but whether the stretch is mature enough to support a structured return toward value.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Reversion setups can fail during strong trends or regime expansion, so all signals should be used with independent confirmation and risk management.
-Made with passion by jackofalltrades
Indicator
Asterion Level Weave [JOAT]Asterion Level Weave
Introduction
Asterion Level Weave is an open-source reference-level and directional-bias overlay built around daily pivots, weekly pivots, a weighted EMA weave, and opening-range structure. Its purpose is to show where price is located relative to higher-order reference levels while also showing whether internal directional pressure is aligned with those levels.
The problem this script solves is context stacking. Traders frequently use pivot lattices, moving averages, and opening ranges separately, then mentally combine them. Asterion Level Weave places those components into one framework so the user can evaluate premium versus discount location, directional weave bias, and session structure from a single chart layer.
Core Concepts
1. Daily And Weekly Pivot Lattice
The script calculates prior-day and prior-week pivot references and extends them forward on the chart. Daily pivot, R1, S1, R2, and S2 create the near-term lattice, while weekly pivot references provide a slower macro anchor.
2. Weighted EMA Weave
Instead of averaging EMAs equally, the script weights multiple EMAs by their recent slope magnitude. This gives more influence to the parts of the curve that are moving with stronger directional intent.
3. Equilibrium And Location Model
The script derives an equilibrium box around the daily pivot and uses price location relative to that structure to frame premium, discount, and balance.
4. Opening Range Structure
An opening-session range is captured and projected forward with a midpoint reference. This adds a session-specific structure layer that can be compared against pivot and weave alignment.
Features
Daily pivot lattice: D-pivot, R1, S1, R2, and S2 with forward extension
Weekly pivot lattice: Weekly pivot references for broader context
Daily equilibrium box: Optional box around the central daily balance zone
Weighted EMA weave: Multi-EMA directional cloud with weighted centerline
Location labeling: Right-edge labels for major active references
Opening range projection: Session range and midpoint extension
Directional candle tint: Candle state can reflect weave direction
Dashboard: Displays location, directional bias, pivot state, and opening structure context
Higher-order reference integration: Daily, weekly, session, and EMA structure in one chart layer
Input Parameters
Reference Levels:
Daily and weekly pivot toggles
Forward extension controls
Equilibrium box toggle
Ribbon Engine And Display:
EMA weave toggle, centerline toggle, ribbon smoothing, and slope lookback for weighting
Opening range session and extension
Dashboard, candle-color, and background toggles
How to Use This Indicator
Step 1: Determine whether price is trading above or below the daily pivot and weekly pivot.
Step 2: Use the weave centerline and cloud direction to judge whether internal momentum aligns with that location.
Step 3: Treat the equilibrium box as a balance region and the pivot lattice as directional reference.
Step 4: Use the opening range and midpoint to see whether the session is accepting above or below initial balance.
Step 5: Prefer trades where location, weave bias, and opening-range behavior point in the same direction.
Indicator Limitations
Pivot references are static for the active session and do not adapt intraday until the next period begins
The weighted weave still relies on lagging EMA calculations and will trail abrupt reversals
Opening range significance depends on the instrument and session chosen
This script is best used as a context framework rather than as a standalone entry trigger
Originality Statement
Asterion Level Weave is original in how it combines forward pivot lattices, a slope-weighted EMA weave, and opening-range structure into one location-versus-bias framework. Each component answers a different part of the same question: where price is, how it is moving, and how the active session is organizing around reference levels.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Pivot levels, equilibrium zones, and moving-average structure are analytical tools and should not be treated as guaranteed reaction levels.
-Made with passion by jackofalltrades
Indicator
Torsion Range [JOAT]Torsion Range
Introduction
Torsion Range is an open-source compression, expansion, and wave-energy panel designed to track whether the market is coiling, releasing, trending, or exhausting. The script combines wave direction, weighted energy accumulation, compression scoring, and exhaustion logic into one regime-aware panel.
The problem Torsion Range solves is fragmentation between wave tools and volatility tools. Traditional wave studies often ignore whether the market is compressing or expanding, while compression indicators often ignore directional wave state. Torsion Range merges both worlds so the user can monitor directional energy and structural volatility state together.
Core Concepts
1. Wave Direction Engine
The script supports multiple methods for determining directional wave state, including impulse, pressure, and hybrid behavior. This allows the model to adapt to different styles of price movement.
2. Weighted Energy Accumulation
Wave state is not just directional. It is weighted by body, range, ATR context, and optional relative volume to produce a more informative torsion core.
3. Compression Index
A 0-100 compression framework is built from fast and slow comparisons of range, body, and energy behavior. This allows the indicator to identify tight conditions before release.
4. Release and Exhaustion Logic
Confirmed-bar release events occur when compression gives way to directional expansion. Exhaustion logic looks for overstretched waves with weakening internal behavior.
5. Dashboard and Regime Visualization
The panel includes adaptive colors, background overlays, event flashes, and a top-right dashboard that summarizes wave state, bias, compression, and most recent event.
Features
Multi-method wave direction: Impulse, pressure, or hybrid state engine
Weighted energy accumulation: Uses price and optional relative volume
Compression scoring: Tracks coiling conditions on a normalized scale
Confirmed release logic: Detects transition from compression to directional expansion
Exhaustion detection: Flags overextended wave conditions
Adaptive gradient styling: Institutional panel presentation for dark charts
Regime overlays and event flashes: Highlights important state transitions cleanly
Top-right dashboard: Summarizes live wave and compression state
Confirmed event mode: Optional bar-close only event gating
Alertconditions: Wave flips, release events, and exhaustion states
How to Use This Indicator
Step 1: Read the Wave State
Determine whether directional energy currently favors bullish, bearish, or neutral behavior.
Step 2: Check Compression
High compression means stored energy but not yet confirmed release. Low compression with directional energy implies active movement rather than coiling.
Step 3: Watch Release Events
Release events matter most when they occur after genuine compression and align with the active wave bias.
Step 4: Respect Exhaustion
Exhaustion conditions can warn that a strong wave is becoming less efficient, even if trend has not yet fully reversed.
Indicator Limitations
Compression and exhaustion are relative, not absolute, conditions
Wave direction depends on the selected method and will respond differently across market types
This panel does not identify exact reversal bars and should not be treated as one
Release events are strongest when combined with separate structural context
Originality Statement
Torsion Range is original in its fusion of wave-state persistence, weighted energy accumulation, compression analysis, and exhaustion logic within one panel. It is not a basic Weis-style clone and not a plain volatility gauge. Its value comes from combining directional energy and volatility state into a single workflow.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Compression, release, and exhaustion states are analytical conditions derived from historical chart behavior and do not guarantee future outcomes.
- Made with passion by jackofalltrades
Indicator
Parallax Covenant Strategy [JOAT]Parallax Covenant Strategy
Introduction
Parallax Covenant Strategy is an open-source, non-repainting PulseWire strategy that integrates multiple analytical engines into one realistic execution framework. It combines regime detection, pressure confirmation, mapped bias, structure context, wave release logic, and ATR-based risk management to produce entries and exits only when several independent conditions agree.
The problem this strategy solves is weak single-factor trading. A crossover alone is rarely enough. A structure break alone is often early. A momentum spike alone can be noisy. Parallax Covenant requires alignment between regime, internal pressure, mapped bias, structural context, and release behavior before taking a trade. This creates a more selective, context-aware model than a one-indicator strategy.
Core Concepts
1. Composite Regime Engine
The strategy builds a directional regime from a structural baseline, tolerance corridors, and expansion/compression state. This acts as the primary directional context.
2. Pressure Confirmation
An internal pressure model blends weighted candle force and channel position to avoid taking trades simply because price is above or below a baseline.
3. Mapping and Higher-Timeframe Bias
The strategy uses a mapped momentum framework and an optional confirmed higher-timeframe bias filter so lower-timeframe entries can align with broader conditions.
4. Structure and Release Filters
Demand and supply context, swing structure, and release-from-compression logic help prevent entries from firing in the middle of low-quality noise.
5. Realistic Risk Management
The strategy uses ATR-based stops, reward-to-risk targets, optional trailing logic after a minimum multiple of risk, and regime-failure exits. This makes the model more realistic than fixed-tick toy strategies.
Features
Multi-engine entry stack: Regime, pressure, mapping, structure, and release alignment
Confirmed-bar logic: Entry conditions are evaluated on confirmed bars
Optional higher-timeframe bias filter: Uses confirmed higher-timeframe values
Demand and supply context: Trade logic includes structural location awareness
ATR stop and target model: Risk adjusts to symbol volatility
Trailing stop activation: Trail can engage after a defined reward threshold
Regime-failure exit: Closes trades when core directional conditions break down
Maximum time-in-trade control: Avoids stale positions
Institutional dashboard: Top-right strategy state summary
Alertconditions: Regime shifts, releases, and setup confirmations
How to Use This Strategy
Step 1: Study the Dashboard
The dashboard shows whether the system currently sees bullish, bearish, or balanced conditions and how the internal engines align.
Step 2: Understand the Entry Stack
Trades only trigger when multiple conditions confirm together. If you see a setup fail to trigger, that is often intentional filtering rather than a bug.
Step 3: Respect the Risk Model
Stops and targets are volatility-based. Results will vary materially across symbols and timeframes because the strategy adapts to local ATR conditions.
Step 4: Evaluate by Regime, Not by Individual Trade
This strategy is meant to be judged over a broad sample. It is a context-and-confirmation model, not a scalping script trying to predict every turn.
Strategy Limitations
The strategy is intentionally selective and may skip many charts or periods
Higher-timeframe confirmation uses confirmed data and can therefore feel slower than live-developing bias models
ATR-based exits adapt to volatility, which means trade statistics can shift significantly across markets
No strategy can remove all adverse conditions, especially during sudden event-driven repricing
Originality Statement
Parallax Covenant Strategy is original in the way it integrates multiple distinct analytical engines into one non-repainting framework. It is not a basic moving average crossover, not a single-oscillator strategy, and not a toy example of ATR stops. Its value comes from requiring alignment between market regime, internal pressure, mapped bias, structure, and release conditions before entering risk.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Historical backtest results do not guarantee future performance. Always use realistic expectations, proper risk management, and independent judgment.
- Made with passion by jackofalltrades
Strategy
Mercator Pressure [JOAT]Mercator Pressure
Introduction
Mercator Pressure is an open-source institutional-style pressure oscillator built to measure directional force using a blended model of candle pressure, close-location behavior, range expansion, optional volume impulse, and volatility-channel context. The goal is to capture not just whether momentum is positive or negative, but how forceful and structurally aligned that movement is.
The problem Mercator Pressure solves is shallow momentum interpretation. Many oscillators react to price movement but fail to distinguish between weak drift, strong displacement, location inside a volatility envelope, and divergence between price and internal force. Mercator Pressure combines those dimensions in one panel and adds confirmed divergence logic, threshold regimes, layered gradients, and a live dashboard.
Core Concepts
1. Weighted Candle Pressure Engine
The core model scores each bar using a weighted blend of body impulse, close location, range expansion, and optional relative volume impulse. This helps the oscillator react differently to high-conviction bars than to passive movement.
2. Volatility-Channel Context Engine
Pressure is not evaluated in isolation. The script also measures where price sits inside an adaptive volatility envelope and uses that context as part of the composite regime model.
3. Composite Regime and Signal Layer
The pressure and context models are blended into a smoothed composite oscillator and signal line. Regime state is then derived from threshold behavior and internal persistence.
4. Confirmed Divergence Detection
Both regular and hidden divergence are supported using pivot-confirmed logic, which keeps the divergence framework more stable than naive visual divergence methods.
5. Institutional Panel Styling
Mercator Pressure uses layered fills, gradient regime cues, restrained optional divergence markers, and a top-right dashboard rather than retail-style arrow spam.
Features
Multi-factor pressure engine: Body, close location, range expansion, and optional relative volume
Volatility envelope context: Internal force is blended with channel position
Composite oscillator and signal line: Regime interpretation is smoother and more stable
Regular and hidden divergence: Pivot-confirmed divergence conditions
Confirmed-bar event gating: Alerts and key events can be evaluated on closed bars
Layered gradient fills: Smooth panel depth instead of harsh histogram clutter
Regime background tint: Visual context in the panel
Top-right dashboard: Live state readout for regime, slope, context, and divergence
Optional divergence markers: Uses professional square and diamond markers, not arrows
Alertconditions: Regime flips, signal crosses, expansions, and divergences
How to Use This Indicator
Step 1: Read the Composite Line Versus Signal
When the composite line is above the signal and above key thresholds, internal pressure is supportive. The opposite applies during bearish pressure.
Step 2: Check Regime State
Use the dashboard and panel tint to determine whether the script sees a bullish, bearish, or neutral pressure regime.
Step 3: Watch Expansion Conditions
Expansion events are stronger than ordinary threshold crosses because they imply pressure is extending into a more forceful state.
Step 4: Use Divergence as Context
Divergence is best used as a warning or contextual signal, not as a blind reversal trigger.
Indicator Limitations
Divergence only confirms after pivots confirm, which introduces natural delay by design
Pressure is a proxy model derived from chart data, not exchange-level order flow
The composite engine is adaptive and may behave differently across very low-volatility versus very high-volatility symbols
This script is best used as a directional-quality filter or context tool, not a standalone trading system
Originality Statement
Mercator Pressure is original in the way it combines weighted candle pressure, volatility-envelope context, regime hysteresis, and pivot-confirmed divergence inside one coordinated panel. Its value comes from force measurement, contextualization, and divergence structure rather than from any one common oscillator formula.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Pressure and divergence readings are derived from historical price and volume behavior and do not guarantee future results.
- Made with passion by jackofalltrades
Indicator
Cartograph Bands [JOAT]Cartograph Bands
Introduction
Cartograph Bands is an open-source price-space mapping overlay that translates internal momentum and regime pressure into adaptive bands around price. Instead of displaying momentum in a separate pane and forcing the user to mentally translate it back into price context, the script projects a composite regime score directly into layered price envelopes.
The problem Cartograph Bands solves is disconnected interpretation. Oscillators can show strength or weakness, but they often fail to communicate where that state matters on the chart. Cartograph Bands closes that gap by converting internal regime intensity into inner, outer, and far price-space bands, then combining that with multi-timeframe confirmation and volatility-state transitions.
Core Concepts
1. Composite Momentum Engine
The script blends several internal measurements including RSI, CMO, ROC normalization, and slope behavior to create a bounded momentum/regime score. This reduces reliance on any single oscillator.
2. Price-Space Mapping
That composite score is mapped into adaptive offsets around price using ATR and standard deviation inputs. The result is a set of bands that express regime intensity as chart structure rather than as a separate panel line.
3. Layered Band Geometry
Three band families are used:
Inner bands for local equilibrium
Outer bands for state extension
Far bands for exceptional displacement
4. Non-Repainting Higher Timeframe Confirmation
Confirmed higher-timeframe values are requested using offset expressions and lookahead handling intended to avoid future leakage on historical bars.
5. Compression and Expansion State Tracking
Cartograph Bands also classifies whether the current market state is compressing or expanding, which gives context to outer-band tests and re-entry events.
Features
Composite momentum model: Multiple internal regime factors instead of one oscillator
Mapped price-space bands: Regime intensity projected directly onto chart structure
Inner, outer, and far layers: Different depths of price displacement
MTF confirmation dashboard: Top-right summary with higher-timeframe agreement context
Compression and expansion tracking: Identifies volatility-state transitions
Outer-band re-entry events: Useful for exhaustion or reacquisition studies
State candle tinting: Visual context without heavy marker clutter
Gradient cloud system: Layered institutional-style fills
Confirmed-signal mode: Optional bar-close confirmation behavior
Alertconditions: Regime flips, re-entry, expansion, compression, and MTF conflict
How to Use This Indicator
Step 1: Read the Band State
Price inside the inner structure implies local balance. Sustained travel into outer and far layers implies stronger directional pressure.
Step 2: Check the Dashboard
Use the dashboard to confirm whether the chart-timeframe state aligns with higher-timeframe conditions.
Step 3: Watch Re-entry Behavior
Re-entry from outside the outer band can highlight exhaustion or failed extension, especially when expansion begins to fade.
Step 4: Use Compression and Expansion as Context
A compression state reduces the importance of directional interpretation. Expansion after compression matters more than random outer-band wandering.
Indicator Limitations
The mapping is adaptive, so band distance changes with symbol volatility
Higher-timeframe context is intentionally confirmed and may feel slower than live-developing HTF tools
Band interaction alone should not be treated as a complete trade system
The script maps internal regime state into price context, but it does not forecast exact reversal points
Originality Statement
Cartograph Bands is original in the way it blends multiple internal regime measurements and projects them into layered price-space geometry. Its value is not just an oscillator or just bands, but the interaction between regime scoring, mapped offsets, MTF confirmation, and state transitions.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. All mapped bands are analytical references derived from historical price behavior and should be used with sound judgment and risk management.
- Made with passion by jackofalltrades
Indicator
Indicator
Bastion Ledger [JOAT]Bastion Ledger
Introduction
Bastion Ledger is an open-source liquidity and structure overlay designed to track active demand and supply zones through a full lifecycle model. The script builds zones from confirmed pivots and volume impulse events, then tracks how price interacts with those zones over time through active, swept, broken, retested, and archived states.
The problem Bastion Ledger solves is zone ambiguity. Many support and resistance tools simply draw a level and leave interpretation to the user. Bastion Ledger adds structure to that process by classifying how each zone was created and what has happened to it since. This makes the chart easier to read and gives the user a cleaner framework for identifying whether liquidity has held, been swept, failed, or transitioned into a retest state.
Core Concepts
1. Confirmed Pivot Structure
Zones created from pivots only appear after pivot confirmation. This introduces natural delay by design, but it prevents the script from creating forward-looking structure that disappears later.
2. Volume-Impulse Zone Creation
The script can also create zones from candles that exhibit high relative volume and efficient directional body behavior. This allows the overlay to capture not only swing structure but also displacement-origin areas.
3. Zone Lifecycle Model
Each zone progresses through a clear state model:
ACTIVE
SWEEPED
BROKEN
RETESTED
ARCHIVED
This is one of the defining features of the script. Instead of leaving historical rectangles behind with no context, the overlay tracks what has happened to each one.
4. Midpoint and Structure Rails
Every zone can include a midpoint reference and supporting structure rails to make reaction areas easier to inspect. This helps distinguish edge reactions from deeper zone acceptance.
5. Dashboard Context
The top-right dashboard summarizes active counts, nearest demand and supply distance, event state, and structure bias so the user can quickly orient themselves.
Features
Dual-source zone creation: Confirmed pivots and volume impulse zones
Stateful zone lifecycle: Tracks sweeps, breaks, retests, and archival
ATR-aware zone sizing: Zone height adapts to market conditions
Object-efficient rendering: Uses persistent objects with setter updates
Midpoint lines: Helps judge reaction depth inside each zone
Structure bias readout: Gives a quick demand-versus-supply view
Nearest-zone distance readout: Useful for contextual planning
Top-right dashboard: Medium-size summary panel
Confirmed-bar event logic: Creation and transitions are handled safely
Alertconditions: Zone create, sweep, break, retest, and structure breaks
How to Use This Indicator
Step 1: Identify the Nearest Active Zone
Use the plotted boxes and dashboard distance readouts to locate the nearest demand and supply area.
Step 2: Read the Zone State
An active zone is different from a swept or broken zone. The lifecycle state tells you whether the zone is still intact or has already lost integrity.
Step 3: Watch Retests After Breaks
Retested zones can be especially useful because they represent a transition from defended liquidity to broken structure and then a recheck of that failure.
Step 4: Combine with Regime Context
Bastion Ledger works best when combined with a separate trend or regime filter. Use it to map where reactions matter, not to replace directional context.
Indicator Limitations
Pivot-based zones confirm after the pivot completes, which is intentional non-repainting behavior
Very fast markets can move through multiple zone states in a short number of bars
Zone relevance declines over time, so older archived zones should not be treated like fresh liquidity
This script tracks structural interaction, not order flow or real exchange-level liquidity
Originality Statement
Bastion Ledger is original in its combination of pivot structure, volume-impulse zone creation, and lifecycle classification. The script is not just a rectangle drawer. Its core value lies in tracking how a zone evolves after creation and presenting that evolution in a consistent institutional overlay.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Liquidity zones are interpretive tools based on historical price and volume behavior and do not guarantee future reactions.
- Made with passion by jackofalltrades
Indicator
Arbiter Channel [JOAT]Arbiter Channel
Introduction
Arbiter Channel is an open-source market state overlay built to classify directional control, compression, and expansion using a layered baseline-and-channel framework. The script blends an Ichimoku-inspired composite baseline, body-aware tolerance channels, and a confirmed-bar trend-state engine to identify whether price is operating in directional acceptance, compression, or expansion. Rather than acting like a generic moving average channel, Arbiter Channel is designed to map the relationship between equilibrium and displacement.
The problem Arbiter Channel solves is false trend interpretation. Price can trade above a moving average without truly being in an efficient trend, and it can look weak during healthy pullbacks inside a broader expansion. Arbiter Channel separates baseline equilibrium, tolerance acceptance, and directional displacement so that the user can tell whether price is simply oscillating around fair value, compressing inside equilibrium, or expanding away from it with intent.
Core Concepts
1. Composite Baseline Construction
The baseline is built from an Ichimoku-style blend of Conversion, Base, Span A, and Span B components, with user-controlled inclusion and weighting. This creates a smoother and more structurally aware equilibrium anchor than a single moving average:
tenkan = donchianMid(convLen)
kijun = donchianMid(baseLen)
spanA = math.avg(tenkan, kijun)
spanB = donchianMid(spanBLen)
2. ATR and Body Tolerance Channel
Instead of plotting a fixed-width envelope, the channel adapts to both ATR behavior and candle-body pressure. This helps the band respond differently during active displacement than during passive drift. The result is a tolerance corridor where trend acceptance and loss of acceptance become visually obvious.
3. Confirmed-Bar Trend State Machine
Trend transitions are only registered on confirmed bars. This avoids intrabar flipping and helps keep trend-state changes non-repainting for practical signal use. The script distinguishes directional trend shifts from regime changes, so compression and expansion can evolve without necessarily forcing a full directional flip.
4. Compression and Expansion Regimes
Arbiter Channel tracks whether price is contracting around equilibrium or extending away from it. This is important because directional trend and volatility regime are not the same thing. A bullish trend can be compressing before expansion, and expansion can fail back into balance.
5. Institutional Visualization Layer
The overlay uses nested clouds, baseline shadows, state candle tinting, controlled event labels, and a medium top-right dashboard to summarize regime and trend without clutter.
Features
Composite baseline engine: Uses multiple Ichimoku-derived components instead of a single average
Adaptive tolerance channels: Envelope width responds to volatility and body behavior
Compression and expansion classification: Distinguishes rotational balance from directional release
Confirmed-bar trend state engine: Trend shifts only confirm after bar close
Outer reclaim events: Detects price returning inside channel boundaries after extension
Cloud-based regime visualization: Multi-layer fills show equilibrium and displacement zones
State candle tinting: Candles inherit directional context without overwhelming price
Top-right dashboard: Displays current trend, regime, channel state, and internal diagnostics
Fully configurable palette: Built for dark charts with adjustable institutional tones
Confirmed alertconditions: Trend shifts, regime changes, reclaim events, and expansion bursts
How to Use This Indicator
Step 1: Read the Trend State
Start with the dashboard and baseline color. This tells you whether the script currently classifies the market as bullish, bearish, or neutral from a confirmed-bar perspective.
Step 2: Check the Regime
Compression means price is accepting around equilibrium. Expansion means price is actively displacing. Combining trend with regime helps determine whether to expect continuation or wait for release.
Step 3: Use the Channel Structure
The inner and outer bands act as context zones. Price holding outside the inner corridor during expansion is stronger than price simply crossing the baseline.
Step 4: Watch Reclaim Events
When price extends beyond the outer channel and then reclaims back inside it, that event can signal exhaustion, acceptance failure, or a return to balance.
Indicator Limitations
The baseline is a structural equilibrium model, not a predictive model
Compression and expansion are relative to the current symbol and timeframe inputs
Strong news events can create abrupt regime transitions that temporarily distort channel interpretation
The script is best used as a context overlay, not as a standalone trade trigger
Originality Statement
Arbiter Channel is original in the way it separates directional trend, equilibrium tolerance, and volatility regime into one coordinated overlay. It is not a simple moving average channel and not a direct copy of Ichimoku. The value comes from combining a composite baseline, adaptive tolerance geometry, and confirmed-bar regime logic into a single context engine.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice and does not guarantee future market behavior. Always use proper risk management.
- Made with passion by jackofalltrades
Indicator
Concordance Execution Mandate [JOAT]Concordance Execution Mandate
Introduction
Concordance Execution Mandate is an open-source PulseWire strategy that integrates the indicator concepts used throughout the JOAT Suite into one execution framework. It combines crossframe bias, auction location, stepped structure, momentum timing, absorption participation, and volatility gating before any trade is allowed. It also renders on-chart trade rails, stop placement, profit targets, and a dashboard summarizing the active execution state.
The purpose of the strategy is not to optimize one narrow market condition. The purpose is to require multiple independent conditions to agree before a trade is taken. This reduces single-factor noise and creates a more realistic execution process than a strategy that relies on only one oscillator or one moving-average crossover.
Core Concepts
1. Crossframe Regime Filter
Higher-timeframe trend alignment establishes the directional permission layer. If the dominant bias is not aligned, the strategy remains filtered.
2. Auction Location Filter
Price must also be in a constructive value location for longs or a defensive value location for shorts. This reduces cases where a trend is positive but price is poorly located relative to accepted value.
3. Structure and Momentum Gate
The local stepped structure and momentum score must agree with the higher-level direction before a trade is permitted.
4. Absorption and Volatility Filter
If an active absorption range exists, the strategy uses it as a participation filter. Volatility percentile and directional volatility behavior are also used to avoid unsuitable states.
5. ATR-Based Risk Management
Stops are sized from ATR and, when enabled, can anchor to structural references. Targets are placed using configurable R multiples.
Features
Multi-layer trade permission: Crossframe, auction, structure, momentum, absorption, and volatility must align
Confirmed-bar logic: Entry conditions are evaluated on confirmed bars
ATR-based stop logic: Risk is normalized to current market conditions
Two staged exits: TP1 and TP2 are placed automatically, with a third informational rail on-chart
On-chart trade rails: Entry, stop, TP1, TP2, and TP3 are drawn directly on the chart
Risk/reward fills: Visual fill between entry and stop or target levels
Execution dashboard: Displays regime, permission, auction state, structure state, momentum, absorption, ATR percentile, position state, and active risk rail
Realistic default properties: Uses commission, slippage, and percent-of-equity sizing
Strategy Properties Used By Default
Initial Capital: 100000
Commission Type: Percent
Commission Value: 0.05
Slippage: 2
Pyramiding: 0
Position Size: 10% of equity
Orders Processed On Close: Enabled
How to Use This Strategy
Step 1: Read the dashboard before evaluating the backtest. The strategy is built around permission states, not constant market participation.
Step 2: Check whether the system is in Long Bias, Short Bias, or Mixed mode.
Step 3: Observe whether the strategy is filtering trades because one of the major layers is missing, such as auction location or volatility suitability.
Step 4: Use the on-chart rails to understand how the strategy is defining risk and reward at each entry.
Strategy Limitations
Like all strategies, results depend on market, timeframe, and input choices
Higher-timeframe filters are intentionally delayed for non-repainting safety
Multiple filters can reduce trade frequency substantially
The strategy is designed as a robust execution framework, not as a guarantee of profitability
Backtest results should be interpreted with realistic skepticism and proper context
Originality Statement
Concordance Execution Mandate is original in the way it integrates top-down bias, auction location, local structure, momentum timing, participation filtering, and volatility gating into one execution process with visible trade management rails. The script is published to show how multiple institutional-style context layers can be fused into a realistic open-source framework.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade any market. Backtest results are based on historical data and do not guarantee future performance. All trading involves risk, including the risk of loss. Use independent judgment and proper risk management.
-Made with passion by jackofalltrades
Strategy
Crossframe Bias Ledger [JOAT]Crossframe Bias Ledger
Introduction
Crossframe Bias Ledger is an open-source non-repainting higher-timeframe bias overlay built to align an intermediate timeframe, a major timeframe, and the local chart into one directional map. It uses safely delayed `request.security()` calls, crossframe basis clouds, premium/discount rails, alignment boxes, execution-state labels, and an optional TP/SL scaffold on fresh confirmed alignment shifts.
The script solves directional context across timeframes. Many local signals fail because they are taken against dominant higher-timeframe structure. Crossframe Bias Ledger keeps the user anchored to higher-timeframe alignment while still making the output actionable on the trading timeframe.
Core Concepts
1. Safe Higher-Timeframe Requests
All higher-timeframe values are retrieved using delayed indexing so incomplete higher-timeframe bars do not leak into the current chart:
idxHigher = barstate.isrealtime ? 1 : 0
idxCurrent = barstate.isrealtime ? 0 : 1
2. Primary and Secondary Trend Stacks
Fast, slow, and signal EMAs are retrieved from two higher timeframes and converted into directional scores.
3. Premium / Discount Map
The two higher-timeframe bases define a premium/discount zone. Price trading above the upper rail is treated as premium. Price trading below the lower rail is treated as discount. Price between them is treated as rebalancing.
4. Fresh Alignment Shifts
When the crossframe score crosses into confirmed bullish or bearish alignment, the script marks this as a fresh state transition and can build an informational TP/SL ladder.
5. Rebalance vs Continuation Logic
The script distinguishes rebalancing entries inside the premium/discount box from continuation conditions outside it.
Features
Non-repainting crossframe logic: Uses safely delayed higher-timeframe requests
Dual cloud system: Primary and secondary timeframe clouds on the chart
Premium / discount rails: Crossframe valuation map between the two HTF bases
Bias box: Forward execution window for the current crossframe state
Fresh alignment detection: Distinguishes a new bull/bear shift from an already active state
Continuation and rebalance readouts: Shows whether price is extending or rebalancing
Optional TP/SL ladder: Informational scaffold for new alignment shifts
Top-right dashboard: Displays state, signal, timeframe bias, location, execution mode, basis, and score
How to Use This Indicator
Step 1: Read whether the state is aligned up, aligned down, or mixed.
Step 2: Check if price is trading in premium, discount, or rebalance territory.
Step 3: Use fresh shifts to identify new state transitions. Use continuation and rebalance readings to differentiate execution style.
Step 4: Keep local entries aligned with the dominant crossframe bias whenever possible.
Indicator Limitations
Higher-timeframe logic is intentionally delayed for safety, so it will not react as quickly as unstable lookahead-based implementations
Premium/discount interpretation depends on the chosen timeframes
Mixed states are intentional and may persist when higher timeframes disagree
The TP/SL ladder is informational and does not place trades
Originality Statement
Crossframe Bias Ledger is original in the way it combines safe higher-timeframe delay logic, dual-basis premium/discount mapping, fresh alignment shifts, and execution-state scaffolding into one open-source overlay. The script is intended to provide a reusable top-down directional framework rather than a generic MTF trend line.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Higher-timeframe alignment may still fail, reverse, or become mixed as new data forms. Always use independent analysis and risk management.
-Made with passion by jackofalltrades
Indicator
Momentum Covenant Bias [JOAT]Momentum Covenant Bias
Introduction
Momentum Covenant Bias is an open-source momentum pane designed to classify whether the market is in a constructive, defensive, balanced, or compressed state. It blends WaveTrend timing, RSI displacement, normalized trend distance, compression logic, layered state bands, pane boxes, and an optional force-overlay TP/SL scaffold when fresh confirmed momentum shifts occur.
This indicator is meant to solve timing. Trend and auction context can describe where the market is, but they do not always tell you whether momentum is actually participating in the current move. Momentum Covenant Bias translates several independent momentum dimensions into one composite state engine and presents them in a clean, institutional-style pane.
Core Concepts
1. WaveTrend Timing
WaveTrend serves as the primary turning-point rhythm engine. The script uses the relationship between the main line and signal line to measure timing pressure.
2. RSI Displacement
RSI is evaluated not only relative to 50, but also relative to its own smoothed mean. This helps distinguish raw strength from persistent displacement.
3. Normalized Trend Distance
Price distance from the slower trend baseline is normalized by ATR so the output remains portable across markets with different price scales.
4. Compression State
Compression logic compares recent range behavior to a slower baseline. This helps identify lower-energy conditions before expansion.
5. State Boxes and Overlay Scaffold
The pane includes positive, negative, and compression zones, and can project a force-overlay TP/SL scaffold on the chart when a fresh momentum shift is confirmed.
Features
Composite momentum score: Combines WaveTrend, RSI, trend distance, and compression context
Signal line: Smoothed line for momentum transitions
Layered state bands: Positive, negative, and extension zones rendered as gradients
Compression boxes: Visual isolation of low-energy conditions
Top-right dashboard: Displays composite score, signal, wave state, RSI, compression, trend distance, and scaffold status
Force-overlay TP/SL scaffold: Optional informational rails on fresh positive or negative momentum shifts
Confirmed-bar state promotion: Uses confirmed bars for event states instead of unstable intrabar triggers
How to Use This Indicator
Step 1: Read the composite state first. Balanced states should be interpreted differently from impulse states.
Step 2: Compare the composite score to the signal line. Fresh separation often matters more than absolute level alone.
Step 3: Watch compression zones. These can help explain why a market is not yet extending despite directional context elsewhere.
Step 4: If using the optional scaffold, treat it as a planning aid that reflects momentum state, not as a standalone trade system.
Indicator Limitations
Momentum state can reverse quickly in whipsaw markets
Compression logic can remain active for extended periods in slow markets
WaveTrend and RSI are still derivatives of price and can lag during violent reversals
The overlay scaffold is informational and does not execute orders
Originality Statement
Momentum Covenant Bias is original in the way it combines multi-source momentum confirmation, pane state boxes, gradient regime presentation, and force-overlay planning rails in one open-source script. The indicator is intended as a timing layer that complements structure and auction context instead of replacing them.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Momentum conditions are derived from historical price behavior and may fail or reverse without warning. Use proper risk management and independent validation.
-Made with passion by jackofalltrades
Indicator
Structure Deviation Ledger [JOAT]Structure Deviation Ledger
Introduction
Structure Deviation Ledger is an open-source structure-tracking overlay designed to monitor how price behaves around a stepped volatility corridor and pivot-derived structure rails. It combines pivot rail continuation, a stateful stepped midpoint, inner and outer ATR corridors, frozen breakout rails, right-edge structural labels, and an optional TP/SL scaffold when confirmed structural displacement occurs.
The purpose of the script is to answer a practical question: is price still behaving inside accepted structure, or has it displaced far enough to qualify as a meaningful structural event? By scoring deviation relative to a stepped corridor and confirmed pivot rails, the indicator provides a cleaner framework for continuation and failure analysis than simple moving-average crossovers.
Core Concepts
1. Pivot-Derived Structure Rails
Confirmed pivot highs and lows are connected into forward rails. These rails act as the nearest structural references for continuation or failure.
2. Stepped ATR Corridor
The script maintains a stepped midpoint derived from a smoothed basis and ATR logic. The midpoint only reanchors when price stretches far enough to justify a structural adjustment.
3. Confirmed Structural Breaks
A structural break is only promoted when price closes beyond the relevant active rail and also pushes outside the inner corridor. This confirmation rule is designed to reduce weak intrabar noise.
4. Frozen Break Rails
When a fresh break is confirmed, the script freezes a breakout rail and a related context box so the chart retains forward reference after the initial event.
5. Execution Scaffold
On fresh structural expansion or structural pressure events, the indicator can build an informational TP/SL ladder using ATR-based stop distance and configurable R multiples.
Features
Pivot structure rails: Forward-projected high and low rails derived from confirmed pivots
Stepped structure midpoint: State-aware corridor center that does not update every bar like a normal average
Inner and outer ATR corridors: Layered bands for contained vs displaced price behavior
Fresh break detection: Confirmed-bar breakout logic for upside and downside structural events
Frozen break rails and zones: Persistent post-break context on the chart
Right-edge labels: Live labels for midpoint, inner levels, and active rail reference
Optional TP/SL ladder: Entry, stop, TP1, TP2, TP3 with risk/reward fill
Top-right dashboard: Displays current structural state, deviation, corridor levels, and rail count
How to Use This Indicator
Step 1: Read whether price is inside the corridor or displacing beyond it.
Step 2: Compare price to the active high or low rail. These are the nearest structure references.
Step 3: When a fresh confirmed break appears, use the frozen rail and optional ladder as a planning map, not as a guarantee.
Step 4: If price returns back through the corridor after a break, treat that as a sign of failed displacement.
Indicator Limitations
Pivot rails are naturally delayed because pivots require confirmed bars on both sides
Stepped corridors intentionally lag during transitions in order to avoid unstable shifting
A dense market with many pivots can still generate frequent rail updates
The TP/SL ladder is informational only and does not place orders
Originality Statement
Structure Deviation Ledger is original in the way it merges pivot-derived structural rails, a stepped ATR corridor, frozen breakout context, and execution scaffolding into a single open-source structure overlay. Its goal is to provide a reusable institutional structure map rather than a simplified breakout marker.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Structural breaks and corridor deviations are derived from historical price action and do not guarantee future movement. Always use appropriate risk controls.
-Made with passion by jackofalltrades
Indicator
Volatility Covenant Ribbon [JOAT]Volatility Covenant Ribbon
Introduction
Volatility Covenant Ribbon is an open-source volatility-state overlay that measures expansion, compression, and directional persistence using ATR percentile behavior, directional range separation, layered ribbon bands, event boxes, and an optional TP/SL scaffold when a fresh volatility expansion confirms.
The script is designed to answer whether the market is compressing, expanding, or expanding in a directional way. Many overlays show ATR or band width, but they do not separate directional expansion from neutral turbulence. Volatility Covenant Ribbon addresses that by combining percentile context with directional imbalance and basis location.
Core Concepts
1. ATR Percentile
ATR is compared against its own rolling history to determine whether the market is relatively compressed, neutral, or expanded.
2. Directional Range Separation
Bullish and bearish candle ranges are smoothed separately. Their imbalance helps distinguish upside expansion from downside expansion.
3. Layered Volatility Ribbon
Inner, middle, and outer ATR-based layers are rendered around a central basis to give the chart a volatility structure instead of a single line.
4. Event Boxes
Expansion and compression states are also visualized with forward boxes so the chart keeps a persistent visual record of the current volatility regime.
5. Volatility Scaffold
When a fresh expansion state confirms, the script can draw an informational TP/SL ladder based on ATR-defined risk distance.
Features
ATR percentile engine: Relative volatility classification from rolling ATR history
Directional range imbalance: Distinguishes bullish and bearish expansion pressure
Layered ribbon system: Inner, middle, and outer ribbons around the basis
Expansion and compression states: Separate confirmed conditions instead of one generic volatility reading
State boxes: Event-driven boxes for active expansion or compression
Optional TP/SL scaffold: Informational rails for fresh expansion phases
Top-right dashboard: Shows state, ATR percentile, volatility condition, basis location, direction, score, ATR, and scaffold status
How to Use This Indicator
Step 1: Check whether ATR is in expansion, compression, or neutral territory.
Step 2: Read directional imbalance. This helps distinguish bullish expansion from bearish expansion.
Step 3: Use the ribbon as context for whether price is extending with or against volatility pressure.
Step 4: Treat fresh expansion scaffolds as planning tools, not as certainty.
Indicator Limitations
ATR percentile depends on the selected lookback and can vary across instruments
Directional range separation is a price-derived estimate, not a true order-flow measurement
Compression can persist longer than expected in slow markets
The TP/SL ladder is informational and does not place orders
Originality Statement
Volatility Covenant Ribbon is original in the way it merges relative ATR behavior, directional range imbalance, layered ribbon architecture, event boxes, and execution-style scaffolding into one open-source volatility overlay. It is intended as a volatility context tool rather than a standalone signal generator.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Volatility regimes can shift rapidly and may not lead to directional follow-through. Always use proper risk management and independent analysis.
-Made with passion by jackofalltrades
Indicator
Auction Lattice Reserve [JOAT]Auction Lattice Reserve
Introduction
Auction Lattice Reserve is an open-source auction-context indicator built to classify where price is trading relative to accepted value. It maps a fixed-lookback volume distribution, calculates Point of Control and Value Area boundaries, scores the current auction state, and then projects that information back onto the chart using profile slices, equilibrium bands, acceptance boxes, and an optional confirmed-bar TP/SL scaffold.
The main problem this script solves is location. Many directional tools can detect trend, but they do not explain whether price is trading above value, below value, or rotating around equilibrium. Auction Lattice Reserve provides that context directly from a rolling auction profile and combines it with trend and volume expansion scoring so the user can distinguish balance, markup, and distribution states.
Core Concepts
1. Fixed-Range Auction Profile
The script scans a configurable lookback window, divides the price span into bins, and apportions each candle's volume into the bins it overlaps. This creates a rolling distribution of where volume was accepted:
int firstBin = math.max(0, math.min(auctionBins - 1, math.floor((localLow - auctionLow) / auctionBin)))
int lastBin = math.max(0, math.min(auctionBins - 1, math.floor((localHigh - auctionLow) / auctionBin)))
2. Point of Control and Value Area
The highest-volume bin becomes the Point of Control. Value Area is expanded outward from the POC until the chosen percentage of total profile volume is captured. This makes the script useful for identifying accepted value and dislocation:
auctionPoc := auctionLow + (auctionPocBin + 0.5) * auctionBin
auctionVaLow := auctionLow + leftBin * auctionBin
auctionVaHigh := auctionLow + (rightBin + 1.0) * auctionBin
3. Auction State Scoring
The indicator does not rely on value alone. It blends distance from POC, trend spread, and short-vs-long volume expansion into an auction score. This creates a more robust state engine than simply checking whether price is above or below the value area.
4. Acceptance and Rejection Context
Price trading outside the value area for consecutive confirmed bars is treated as accepted migration rather than a brief probe. When acceptance is confirmed, the script can project an acceptance box forward and optionally build a TP/SL ladder from the event.
5. Institutional Visualization
The script uses right-side profile slices, layered clouds around value, an equilibrium band, candle-state coloring, and a compact top-right dashboard instead of retail-style arrows or decorative markers.
Features
Rolling auction profile: Fixed-lookback volume profile rendered at the right edge of the chart
Point of Control and Value Area: POC, VA High, and VA Low plotted directly on price
Auction score: Blends volume expansion, trend spread, and distance from equilibrium
Equilibrium band: Mid-band around POC for visual balance context
Acceptance boxes: Forward-projected boxes when price confirms value acceptance above or below the value area
Optional TP/SL scaffold: Confirmed-bar entry, stop, TP1, TP2, TP3 rails with risk/reward fill
Top-right dashboard: Shows current state, POC, value location, volume pressure, trend, and score
Dark-mode visual design: Layered teal, rose, and gold tones tailored to auction concepts
How to Use This Indicator
Step 1: Check whether price is above value, below value, or inside value.
Step 2: Review the auction score and dashboard state. Strong positive values indicate markup pressure. Strong negative values indicate distribution or liquidation pressure.
Step 3: Watch for acceptance boxes. These show that price is no longer only probing value but may be migrating to a new area of acceptance.
Step 4: Use the optional TP/SL scaffold only as a contextual planning aid. It is not a promise of outcome.
Indicator Limitations
Because the profile is rolling, value levels adapt over time and are not static
A short lookback can make the auction map overly sensitive in volatile markets
Acceptance logic requires confirmed bars, so some moves will already be underway when the state changes
The TP/SL scaffold is informational and does not execute trades
Originality Statement
Auction Lattice Reserve is original in the way it combines a rolling auction profile, an equilibrium band, value-acceptance migration logic, and an institutional-style execution scaffold into one open-source indicator. The publication is intended to provide a reusable context layer for traders who want value-based location rather than a standalone entry system.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Auction context and value-area behavior are derived from historical price and volume data and do not guarantee future results. Always use independent judgment and risk management.
-Made with passion by jackofalltrades
Indicator
Absorption Range Ledger [JOAT]Absorption Range Ledger
Introduction
Absorption Range Ledger is an open-source range and participation overlay built to detect high-participation ranges, estimate internal bull-vs-bear ownership, track weighted equilibrium, and monitor whether the market is being absorbed, contained, reclaimed, or broken. It is designed for traders who want richer range context than a basic support/resistance box.
The script identifies high-participation candles, merges overlapping activity into persistent range zones, tracks a weighted equilibrium line inside the zone, and then highlights whether that zone is acting as supportive absorption, resistant absorption, or a two-way transfer area. Optional TP/SL rails are created when weighted reclaims or range breaks occur on confirmed bars.
Core Concepts
1. High Participation Detection
The script compares current volume to a baseline moving average. When participation exceeds the threshold, the candle is eligible to build or extend an absorption range.
2. Range Merging
New high-participation candles are merged into existing ranges when overlap conditions are satisfied. This creates broader institutional-style transfer zones rather than isolated candle markers.
3. Ownership Split
Each active range tracks approximate bullish and bearish ownership internally. This is displayed visually using sub-boxes and summarized numerically in the dashboard.
4. Weighted Equilibrium
A weighted equilibrium line is maintained inside the dominant active range. This level serves as a practical internal reference for reclaim and failure behavior.
5. Range Events
The script distinguishes containment, weighted-line reclaims, and outright range breaks. These states are used for dashboard context and optional TP/SL scaffolding.
Features
High-participation range detection: Builds active ranges when volume exceeds the baseline threshold
Range merging: Overlapping participation bars are combined into richer zones
Bull/bear ownership split: Internal sub-boxes show approximate participation balance
Weighted equilibrium line: A central reference inside the active range
Dominant active range logic: Tracks the most relevant current range for context
Range reclaim and break states: Distinguishes contained trade from directional escape
Optional TP/SL ladder: Builds informational risk rails on confirmed reclaims and breaks
Top-right dashboard: Shows state, active count, weighted level, balance, range width, and event condition
How to Use This Indicator
Step 1: Identify whether a dominant active range exists.
Step 2: Check the ownership balance. Strong positive balance suggests bid-side absorption. Strong negative balance suggests offer-side absorption.
Step 3: Watch how price behaves around the weighted equilibrium line. Reclaims and failures often provide better context than touching the raw box boundary alone.
Step 4: Use confirmed breaks of the dominant range as state changes, not as guaranteed trend starts.
Indicator Limitations
Ownership balance is an internal estimate, not a true order-flow measurement
Range merging depends on the chosen volume threshold and can be too broad or too narrow if poorly configured
Old ranges expire by design and will not remain indefinitely on the chart
The TP/SL ladder is informational and not an execution engine
Originality Statement
Absorption Range Ledger is original in the way it combines participation-based zone merging, internal ownership splitting, weighted equilibrium governance, and event-driven scaffolding into one open-source range tool. It is published as a contextual market-transfer indicator rather than a simple breakout box.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Participation, ownership, and absorption states are inferred from historical price and volume behavior and may not reflect future outcomes. Use independent analysis and risk management.
-Made with passion by jackofalltrades
Indicator
Volume Ledger [JOAT]JOAT Volume Ledger
Introduction
JOAT Volume Ledger is an open-source participation and volume-zone framework designed to identify where meaningful activity occurred, what type of activity it likely was, and which of those zones still matter now.
It is built around the idea that not all large volume is equal.
Some high-volume behavior represents sponsorship.
Some represents exhaustion.
Some represents churn or absorption.
Some leaves behind a meaningful footprint that the market later reacts to.
The problem the script solves is translation.
Raw volume bars alone do not explain whether heavy activity created useful levels.
They also do not organize those levels for later use.
Volume Ledger attempts to do both.
It begins with relative-volume heat and participation metrics.
It then uses confirmed pivot-based logic to create candidate zones.
Those zones are merged, ranked, extended, and reclassified as support or resistance based on how price returns to them.
Higher-timeframe carry-forward levels can also be displayed.
Core Concepts
1. Relative-Volume Heat
The script normalizes current volume against a baseline and color-grades it.
2. Delta, Churn, and Participation
A delta proxy, churn estimate, and participation line classify the quality of activity.
3. Confirmed Pivot-Zone Creation
When significant participation coincides with confirmed pivots, the script stores those prices as candidate zones.
4. Zone Merging and Ranking
Nearby zones are merged and stronger zones are prioritized.
5. Higher-Timeframe Carry-Forward Levels
Important HTF zones can be projected into the current chart.
6. Retest Logic
The script distinguishes whether an active zone is currently acting as support or resistance.
7. Overlay Box and Line Projection
Zones are projected forward into current chart space using managed boxes, lines, and labels.
8. Participation State Readout
The dashboard summarizes the dominant volume condition, active zones, and current participation quality.
Features
Relative-volume heatmap: current activity is normalized and color-graded
Delta, churn, sigma, and participation analytics: classifies the character of activity
Confirmed volume-origin zones: maps price areas linked to meaningful participation
Zone merging and ranking: reduces clutter and prioritizes stronger regions
Projected overlay boxes and lines: extends active zones into current price
Higher-timeframe ledger context: broader levels can be carried forward
Support / resistance retest logic: distinguishes how price is interacting with the zone
Bar tint and backdrop state: strong participation conditions are easy to spot
Dashboard: summarizes volume state and dominant zone structure
Input Parameters
Ledger Core:
Volume Comparison
Ledger Window
Participation Smoothing
Delta and Churn Settings
Relative Volume Thresholds
Zone Engine / Display:
Zone Extension
Merge Threshold
Zone Ranking Rules
Projected Levels
Higher-Timeframe Carry-Forward
Show Dashboard
Show Average
Show Participation Line
Show Projected Levels
Show Backdrop
Show Bar Tint
How to Use This Indicator
Step 1: Read current participation quality using the relative-volume state and participation line.
Step 2: Identify the dominant projected zones on the chart.
Step 3: Watch retests into those zones and compare them to current participation behavior.
Step 4: Compare active zones with higher-timeframe carry-forward levels.
Step 5: Use the script as confirmation beneath trend, liquidity, or retracement narratives.
Indicator Limitations
Volume proxies do not provide true exchange-level order-flow
High participation does not guarantee reversal or continuation
Very noisy markets can generate many candidate zones before merging and ranking simplify them
The script identifies footprints of activity, not certain turning points
Originality Statement
This script is original in the way it combines relative-volume heat, effort classification, pivot-zone construction, merging, ranking, higher-timeframe carry-forward, and retest-aware styling into a single participation ledger.
The purpose is not merely to show volume.
It is to preserve the most useful consequences of volume.
Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice.
Volume and participation footprints do not guarantee future support or resistance.
Always use independent analysis and risk management.
Best Use Cases
Studying where strong participation likely left a usable footprint
Comparing current price retests to historical participation zones
Separating constructive activity from churn-heavy activity
Adding participation context to trend, liquidity, or retracement narratives
Interpretation Notes
Not every high-volume event deserves the same weight.
The script is most useful when strong participation aligns with structural pivots and later retests.
Higher-timeframe carry-forward levels can be especially helpful when local price is approaching an older but still meaningful participation zone.
The strongest zones are not simply the largest bars.
They are the most meaningful surviving footprints after merging, ranking, and retest context are applied.
Publication Notes
This script is intended to be published with a clean chart where the dominant projected zones and the current participation state are clearly identifiable.
The chart should not be overloaded with extra unrelated studies.
The image should make the volume-to-zone relationship understandable to a first-time viewer.
-Made with passion by jackofalltrades
Indicator
Sigma Channel [JOAT]JOAT Sigma Channel
Introduction
JOAT Sigma Channel is an open-source regression-based channel overlay built to identify the best-fit directional corridor across a search range of candidate windows.
It is designed to show whether price is traveling normally inside a fitted corridor, stretching away from it, reclaiming it, or moving into stress territory.
The problem it solves is model selection.
A fixed-length regression channel can look excellent in one regime and poor in the next.
If the market accelerates, slows down, or shifts its dominant drift horizon, a static window becomes less useful.
Sigma Channel solves that by searching a range of possible windows and selecting the strongest available fit.
That fit becomes the active corridor.
Around it the script builds multiple sigma tiers.
These tiers create a richer price-state map than a single upper and lower band.
The result is a more useful framework for reading acceptance, stretch, reclaim, and exhaustion.
Core Concepts
1. Multi-Window OLS Search
The script evaluates multiple candidate regression windows and scores them by fit quality.
for len = minWindow to maxWindow by stepWindow
= f_model(len)
2. Sigma-Tier Envelope Stack
The fitted centerline is surrounded by inner, core, outer, and stress layers.
3. Slope and Quality Diagnostics
The chosen model exposes both slope and fit quality.
4. Reclaim and Acceptance States
The script identifies when price reclaims or accepts back inside the corridor after extension.
5. Stress-State Shading
The most extreme statistical layer is visually emphasized.
6. Forward Projection
The active model projects forward to keep the corridor useful at the right edge.
7. Residual Awareness
Residual behavior helps judge whether the active model remains representative.
8. Gradient Candle Context
Bar coloring transitions with the current statistical state.
Features
Adaptive regression search: scans multiple windows instead of using one fixed length
Inner, core, outer, and stress bands: multiple sigma tiers for normal and abnormal travel
Slope-aware corridor logic: distinguishes positive and negative drift
Reclaim and acceptance events: return-to-channel behavior is identified
Stress shading: abnormal statistical extension is highlighted
Forward projection: the active corridor extends to the chart edge
Gradient candle tinting: bar color reflects the current z-state
Dashboard: slope, quality, window, and deviation state are summarized
Input Parameters
Model Search:
Minimum Window
Maximum Window
Window Step
Minimum R-Squared
Projection Bars
Deviation Envelope:
Inner Sigma
Core Sigma
Outer Sigma
Stress Sigma
Filter Stack / Visual System:
Bias EMA
ATR Length
Momentum RSI
Use EMA Bias Gate
Use RSI Gate
Use Volume Gate
Tint Bars
Show Projection
Show Dashboard
How to Use This Indicator
Step 1: Check the active slope and whether the corridor is upward, downward, or balanced.
Step 2: Check fit quality before trusting the active statistical path.
Step 3: Read whether price is inside the core corridor, at the outer layer, or in stress territory.
Step 4: Watch reclaims back into the channel after extension.
Step 5: Use the projection to organize the near-future chart space.
Indicator Limitations
The selected best-fit window can change as the market evolves
Linear regression becomes less representative in strongly nonlinear markets
Statistical extension does not guarantee immediate reversal
The indicator measures deviation from a model, not directional certainty
Originality Statement
This script is original in the way it combines adaptive regression selection, multi-tier sigma structure, reclaim logic, stress-state shading, and forward projection into one corridor framework.
The goal is not just to draw a regression channel.
The goal is to keep the active model responsive while preserving statistical context.
Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice.
Regression fit and statistical deviation do not predict future price with certainty.
Markets can remain extended or break away from the active fit entirely.
Best Use Cases
Reading whether price is behaving normally inside a fitted directional corridor
Identifying statistical stretch and stress states
Watching for reclaim behavior after extension
Combining statistical deviation with separate structure or liquidity analysis
Interpretation Notes
The channel should be trusted more when fit quality is stronger and the slope is clear.
Core travel is generally more normal than outer-band travel.
Stress states are especially useful when they coincide with separate structural or participation warnings.
The projection should be read as a continuation of the current best-fit model, not as a forecast guarantee.
Publication Notes
This script is intended to be published with a clean chart where the corridor, the active slope, and at least one reclaim or extension state are obvious.
The example chart should help the viewer understand how the band hierarchy works.
Avoid combining it with unrelated overlays in the publication image.
-Made with passion by jackofalltrades
Indicator
Retracement Lattice [JOAT]JOAT Retracement Lattice
Introduction
JOAT Retracement Lattice is an open-source retracement and extension framework designed to turn a confirmed swing into a live working map.
It does more than place Fibonacci levels on a chart.
The script manages swing anchors, highlights the OTE pocket, overlays confirmed higher-timeframe retracement structure, shades premium and discount halves, and evaluates response quality inside the active pocket.
The problem it solves is inconsistency.
Manual retracement drawing is useful, but it can also become subjective very quickly.
Anchors are often moved emotionally.
Higher-timeframe confluence is ignored.
The midpoint is overlooked.
The response inside the retracement is treated as equivalent even when it is not.
Retracement Lattice standardizes the active swing and continuously updates the derived structure.
That creates a cleaner framework for pullback analysis, continuation planning, and location-based decision making.
Core Concepts
1. Confirmed Swing Anchor Engine
The lattice begins with a confirmed swing.
Pivot logic and anchor-state management determine which high and low form the active range.
pivotHigh = ta.pivothigh(high, pivotLen, pivotLen)
pivotLow = ta.pivotlow(low, pivotLen, pivotLen)
2. Full Retracement Stack
The script calculates a broad set of retracement and extension levels rather than only the most common ones.
fib236 = levelAt(0.236)
fib382 = levelAt(0.382)
fib500 = levelAt(0.500)
fib618 = levelAt(0.618)
fib705 = levelAt(0.705)
fib786 = levelAt(0.786)
3. OTE Pocket Emphasis
The 0.618 to 0.786 region is emphasized as the main response pocket.
4. Higher-Timeframe Confluence
A confirmed higher-timeframe lattice is projected alongside the local one.
5. Premium and Discount Shading
The upper and lower halves of the swing are shaded relative to the midpoint.
6. Extension Objectives
The active swing also provides continuation targets beyond the range.
7. Response Qualification
The script evaluates whether price is reacting constructively inside the active pocket.
8. Chart-Edge Guidance
Labels and projected guide objects keep the live map readable near the right edge of the chart.
Features
Confirmed anchor-state engine: stable swing selection using pivot confirmation
Expanded retracement stack: 0.236, 0.382, 0.500, 0.618, 0.705, and 0.786
OTE pocket emphasis: the main response zone is highlighted
Extension objectives: continuation levels project beyond the swing
Higher-timeframe confluence: confirmed HTF lattice is shown
Premium / discount shading: auction halves are visible at a glance
Response qualification: pocket interaction is graded instead of assumed
Object-managed edge labels: the current range stays readable
Dashboard: anchor direction, confluence, and pocket state are summarized
Input Parameters
Swing Anchor:
Swing Lookback
Pivot Length
Reverse Orientation
Volume-Validated Pivots
Volume Baseline
Volume Threshold
Higher Timeframe / Display:
Show Higher Timeframe Grid
Higher Timeframe
Show Classic Retracements
Show Minor Levels
Show OTE Band
Show Extensions
Show Dashboard
Confluence Tolerance
Shade Auction
How to Use This Indicator
Step 1: Identify the active swing anchor pair.
Step 2: Check whether price is trading in premium or discount relative to the midpoint.
Step 3: Focus on the OTE pocket when the broader structure supports it.
Step 4: Compare the local lattice to the confirmed higher-timeframe lattice.
Step 5: Use the extensions to organize continuation targets after response.
Indicator Limitations
Anchors settle only after pivot confirmation, which is intentional non-repainting behavior
Strong trends can continue without deep retracement into the pocket
Confluence improves context but does not force a reaction
Retracement tools provide structure, not certainty
Originality Statement
This script is original in how it turns a retracement tool into an active framework with anchor-state management, OTE response logic, premium-discount shading, higher-timeframe confluence, and extension objectives.
The components are unified around one job:
to make pullback location more structured and less subjective.
Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice.
Retracement and extension levels are analytical references and do not guarantee support, resistance, or target completion.
Use risk management and independent judgment at all times.
Best Use Cases
Structuring pullback analysis after a confirmed directional swing
Comparing local retracement behavior to confirmed higher-timeframe levels
Locating the OTE pocket inside a stable swing map
Planning continuation targets with extension levels
Interpretation Notes
The midpoint is important because it quickly reveals whether price is trading in the premium or discount half of the current auction.
The OTE pocket is most useful when the broader structural narrative already supports the same directional idea.
Higher-timeframe confluence should be treated as context improvement, not as a guarantee that the level must react.
Publication Notes
This script is intended to be published with a clean chart showing the active anchor, the highlighted OTE pocket, and the higher-timeframe overlap when it exists.
The chart example should make the active swing easy to understand.
Avoid clutter from unrelated studies or excessive drawings.
-Made with passion by jackofalltrades
Indicator
JOAT Pressure Composite [JOAT]JOAT Pressure Composite
Introduction
JOAT Pressure Composite is an open-source accumulation-distribution and participation oscillator built to measure whether buying or selling pressure is strengthening, weakening, rotating, or diverging from price.
It is designed to expose internal sponsorship behind price movement rather than price movement alone.
The script combines weighted close-location flow, relative-volume sponsorship, volume sigma, effort, efficiency, momentum bias, VWAP bias, and confirmed higher-timeframe context into one composite pressure model.
The problem it solves is hidden participation.
Price can rise on weak effort.
Price can fall on poor sponsorship.
Price can continue moving while internal pressure deteriorates.
Pressure Composite tries to expose those changes earlier by measuring how much of the move is actually being sponsored by participation.
The oscillator pane carries the composite, signal line, envelope, flow ribbon, and extreme states.
At the same time, the indicator projects tailored information onto the main chart.
Price divergence is labeled clearly.
Expansion and absorption states are labeled directly on candles.
Anchored VWAP and trend context are overlaid on price so the oscillator and chart remain connected.
Core Concepts
1. Weighted Pressure Engine
The base flow uses close-location value and weighted volume.
closeLocationValue = (2.0 * close - low - high) / barRange
weightedVolume = volume * sponsorshipFactor
2. Pressure Z-Score
The raw pressure series is normalized with a Z-score.
3. Sigma and Effort Layers
Volume sigma and effort help distinguish aggressive participation from ordinary rotation.
4. Efficiency Bias
The script measures whether price is moving efficiently over the selected lookback.
5. VWAP Bias
Distance from anchored VWAP is normalized in ATR terms.
6. Confirmed Divergence Logic
Pivot-based divergence compares oscillator highs and lows to price highs and lows.
7. Expansion and Absorption Labels
The chart prints Bid Expansion, Offer Expansion, Bull Absorption, and Bear Absorption labels directly on price.
8. Confirmed Higher-Timeframe Context
The script pulls confirmed HTF composite states only.
Features
Composite pressure model: blends pressure, effort, sigma, efficiency, and VWAP bias
Flow ribbon: shows whether pressure is widening or fading
Envelope and extreme states: separates normal expansion from aggressive pressure
Confirmed divergence detection: compares oscillator pivots to price pivots
Clear divergence labeling: bullish and bearish pressure divergence is labeled directly on price
Expansion / absorption labels: market states are marked on actual candles
Anchored VWAP context: projected onto the chart for alignment
Fast / slow trend context: price-side guides remain visible while using the oscillator
Confirmed HTF states: non-repainting higher-timeframe pressure context
No dashboard: information is pushed into the chart and oscillator instead of a table
Input Parameters
Composite Engine:
Smoothing Type
Flow Smoothing
Normalization Length
Relative Volume Baseline
Relative Volume Boost
Volume Sigma Length
Effort Smoothing
Efficiency Length
Signal Length
Envelope Length
Envelope Multiplier
Extreme Multiplier
Pivot Length
Divergence Scan
ATR Length
Qualification / Display:
Use Trend Gate
Trend Fast EMA
Trend Slow EMA
Use VWAP Gate
Minimum Spread
Show Histogram
Show Signal Line
Show Envelope
Show Flow Ribbon
Show Divergence
Tint Price Bars
Shade Momentum States
Show Price Context
Show Price Event Labels
How to Use This Indicator
Step 1: Read the composite vs signal relationship to judge widening or fading pressure.
Step 2: Check whether the state is expansion or absorption.
Step 3: Watch labeled divergences closely, especially after extension.
Step 4: Use anchored VWAP and trend overlays to connect the oscillator back to price structure.
Step 5: Use confirmed HTF context as a quality filter rather than a prediction tool.
Indicator Limitations
Divergences can persist before price responds
Confirmed higher-timeframe context intentionally lags unfinished HTF candles
Low-volume environments can flatten the composite even while price drifts
Pressure quality does not guarantee immediate reversal or continuation
Originality Statement
This script is original in how it integrates weighted close-location flow, RVOL sponsorship, sigma, effort, efficiency, VWAP distance, confirmed HTF context, and direct price-chart state labeling into one coherent participation framework.
The components are combined because they all address one question:
how much real sponsorship exists behind current price movement.
Disclaimer
This indicator is provided for educational and informational purposes only.
It is not financial advice.
Pressure readings and divergences do not guarantee reversal or continuation.
Use the script as context and confirmation, not as a promise of outcome.
Best Use Cases
Measuring whether price movement is being sponsored by real participation
Spotting divergence between price and internal pressure
Reading expansion versus absorption conditions
Combining participation context with VWAP and trend structure
Interpretation Notes
The strongest bullish pressure states usually include positive pressure, supportive spread, constructive effort, and favorable price context above value.
The strongest bearish pressure states are the mirror image.
Divergences are most useful when they appear after extension or at major contextual levels.
Absorption labels should be treated as warnings that apparent directional continuation may be losing quality.
Publication Notes
This script is intended to be published with a clean chart where the oscillator, labeled divergence, and at least one price-context label are clearly visible.
Because there is no dashboard, the publication image should make the chart-side annotations easy to read.
Keep the chart clean so the viewer can immediately understand that the script links oscillator behavior back to price.
-Made with passion by jackofalltrades\
Indicator
