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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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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
Pine Script® indicator
by officialjackofalltrades
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\
Pine Script® indicator
by officialjackofalltrades
Meridian Regime Overlay [JOAT]JOAT Meridian Regime Overlay Introduction JOAT Meridian Regime Overlay is an open-source market context overlay built to classify whether price is operating in directional expansion, balanced auction, or compression. It is designed as a chart-first regime engine rather than a standalone trigger study. The script combines local baseline alignment, confirmed higher-timeframe bias, pivot structure, opening-range acceptance, realized volatility state, and session VWAP location into one integrated regime map. The problem it solves is context. Many indicators can say whether price is above or below an average. Far fewer explain whether the move is supported by volatility expansion, structural acceptance, value migration, and higher-timeframe alignment. Meridian Regime Overlay focuses on that exact problem. It grades the live auction bar by bar. It also shows what is supporting the grade. That makes it useful as a decision filter before interpreting any lower-level signal source. This script is not trying to predict the future. Its job is to organize the present market condition. It helps answer practical questions: Is the market trending with real conviction? Is price only drifting above a baseline without expansion? Is the market compressing near a likely release point? Is higher-timeframe structure aligned with the current move? Is price accepting away from value or simply rotating around it? Core Concepts 1. Baseline Stack Alignment Fast, slow, and anchor baselines define the local directional stack. Directional strength improves when those baselines align in sequence and their slopes support the move. fastBase = ta.ema(close, fastLen) slowBase = ta.ema(close, slowLen) anchorBase = ta.ema(close, anchorLen) 2. Confirmed Higher-Timeframe Bias Higher-timeframe context is pulled using confirmed values only. This avoids depending on unfinished HTF candles. htfFast = request.security(syminfo.tickerid, biasTf, ta.ema(close , fastLen), lookahead = barmerge.lookahead_on) htfSlow = request.security(syminfo.tickerid, biasTf, ta.ema(close , slowLen), lookahead = barmerge.lookahead_on) htfAnchor = request.security(syminfo.tickerid, biasTf, ta.ema(close , anchorLen), lookahead = barmerge.lookahead_on) 3. Compression and Expansion State The script compares Bollinger width and Keltner position to identify squeeze behavior and release behavior. ADX and realized variance refine the classification. 4. Pivot Structure State Confirmed pivots define recent structural reference points. Breaks through those pivots update the structural state. 5. Session VWAP Context Distance from session VWAP is normalized in ATR units. This helps reveal whether price is auctioning away from value with intent or just rotating around it. 6. Opening-Range Acceptance The opening range is tracked and plotted. Acceptance above or below that range adds useful early-session context. 7. Composite Regime Score Multiple directional variables are folded into a single regime score. The score is a context summary, not a standalone trade signal. 8. Confirmed Event Labels The overlay prints confirmed auction-up, auction-down, and squeeze-release labels directly on the chart. Features Directional regime classification: bullish expansion, bearish expansion, balance, and compression states Baseline cloud system: fast and slow cloud for local trend stack Confirmed HTF alignment: higher-timeframe bias uses confirmed values only Opening-range plotting: high, low, and midpoint are tracked Session VWAP context: value migration is integrated into the read Pivot structure state: recent structural breaks are tracked Compression and release logic: squeeze and expansion state are visualized Bar-state coloring: candles transition with regime intensity Confirmed event labels: auction and expansion markers print on the chart Dashboard: summarizes regime, score, HTF, structure, volatility, and VWAP context Input Parameters Trend Engine: Fast Baseline Slow Baseline Anchor Baseline Adaptive Mean Length Bias Timeframe Slope Lookback Slope Threshold ATR RVOL Impulse Threshold Volatility Engine: ATR Length Compression Length Band Deviation Keltner Length Keltner Multiplier ADX Length ADX Floor Expansion Threshold Realized Variance Length How to Use This Indicator Step 1: Read the regime color, cloud, and dashboard state. Step 2: Check higher-timeframe alignment before trusting directional continuation. Step 3: Compare structure and VWAP position to see whether price is accepting away from value. Step 4: Watch squeeze-release transitions closely because those often precede cleaner directional movement. Step 5: Use the script as a context filter for other tools rather than as a complete trading system. Indicator Limitations Pivot structure confirms after the pivot fully forms, which is intentional non-repainting behavior Higher-timeframe values are confirmed and therefore intentionally delayed Compression can persist longer than expected in slow auction environments Directional classification does not guarantee continuation Originality Statement This publication is original in the way it integrates baseline structure, confirmed higher-timeframe bias, compression state, realized variance, session VWAP, opening-range acceptance, and pivot structure into one unified regime overlay. The components are not combined arbitrarily. They all answer the same core question: what is the current quality of the auction? Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Market regimes can shift quickly. All readings are based on historical and current bar data and do not guarantee future performance. Always use independent analysis and risk management. Best Use Cases Directional trend filtering before using a separate trigger model Session context analysis during London and New York activity Volatility transition analysis when compression begins to release Structure-aware regime filtering for discretionary execution Interpretation Notes The strongest readings usually occur when the local stack, confirmed higher-timeframe stack, VWAP position, and volatility expansion agree. If only one or two of those are aligned, the chart can still move, but the regime read is weaker. Compression should not be treated as a bearish or bullish state by itself. It is a warning that the market is withholding directional commitment. Opening-range acceptance adds value because many directional sessions reveal their intent early. When price cannot hold outside the opening range, the regime should usually be treated more cautiously. Publication Notes This script is intended to be published with a clean chart where the cloud, baselines, opening range, and event labels are clearly visible. The chart should not be cluttered with unrelated overlays. If showing an example image, the regime state and at least one structural transition should be identifiable at a glance. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Liquidity Cartography [JOAT]JOAT Liquidity Cartography Introduction JOAT Liquidity Cartography is an open-source liquidity mapping overlay built to organize where price has swept obvious pools, where imbalance still exists, and where repricing blocks remain active. It combines prior-day and prior-week references, equal-high and equal-low clustering, sweep-state persistence, displacement logic, imbalance arrays, repricing block arrays, and confluence scoring. The problem it solves is fragmented liquidity analysis. Many traders watch prior highs and lows separately from fair value gaps, separately from equal highs and lows, and separately from displacement. This script turns those references into one coordinated chart map. That makes it easier to judge whether the market is merely tapping a level, actually sweeping it, or accepting away from it with structure and participation. The script is useful because it tracks the sequence, not just the level. A prior-day low by itself is only a reference. A sweep below it is more informative. A sweep followed by displacement and structure recovery is a different condition again. Liquidity Cartography is built around those transitions. The box system is managed over time. Zones are extended, aged, and deleted when invalidated or expired. That keeps the chart focused on currently relevant liquidity rather than permanent drawings. Core Concepts 1. Daily and Weekly Reference Liquidity The script tracks PDH, PDL, PWH, and PWL. These are the major reference pools used to judge whether price is probing obvious liquidity. = request.security(syminfo.tickerid, "D", [high , low ], lookahead = barmerge.lookahead_on) = request.security(syminfo.tickerid, "W", [high , low ], lookahead = barmerge.lookahead_on) 2. Equal-High and Equal-Low Tracking Confirmed pivots are compared in ATR terms to identify clustered highs and lows. 3. Sweep-State Persistence Sweeps remain active for a configurable confirmation window. That allows follow-through logic to validate the narrative. 4. Displacement Validation The script checks whether the reaction away from a pool is meaningful through body expansion and gap behavior. 5. Imbalance Management Imbalance zones are stored and extended as long as they remain active. 6. Repricing Block Management Order-block style repricing areas are created after structural breaks and managed over time. 7. Filter Stack Trend, RVOL, RSI, and session filters can refine signal quality. 8. Confluence Scoring The indicator counts alignment across the active liquidity narrative. Features Prior-day and prior-week levels: major reference pools are tracked Equilibrium levels: daily and weekly range centers are shown Equal-high / equal-low detection: clustered pools are identified Sweep persistence: active sweep context remains available for confirmation Displacement checks: strong rejection is separated from weak noise Imbalance boxes: active FVG-style zones extend until mitigation or expiry Repricing blocks: revisit zones are stored and managed Filter stack: trend, RVOL, RSI, and session alignment are available Confluence scoring: current liquidity alignment is summarized Dashboard: active pool, trend, confluence, and signal state are displayed Input Parameters Reference Levels: Show Prior Day Levels Show Prior Week Levels Show Equilibrium Track Weekly Sweeps Sweep / Zone Logic: Structure Length Sweep Reset Bars Zone Extension Equal Pool Tolerance ATR Zone Max Age History Limits Validation: Require Displacement Displacement Multiplier Use Trend Filter Use RVOL Filter Use RSI Filter Use Session Filter How to Use This Indicator Step 1: Identify the active daily or weekly liquidity pool. Step 2: Check whether price only touched the pool or actually swept it. Step 3: Look for displacement and structure response after the sweep. Step 4: Watch active imbalances and repricing blocks for later revisits. Step 5: Use the confluence count to separate weak narratives from stronger ones. Indicator Limitations Obvious liquidity pools can be tapped or swept multiple times before direction resolves Object-heavy overlays may appear dense on low timeframes if many zones remain active Pivot-based pool detection confirms after the swing completes, which is intentional non-repainting behavior Zones are analytical references, not guarantees of reversal or continuation Originality Statement This script is original in how it combines sweep persistence, equal-pool detection, imbalance inventory, repricing blocks, and confluence scoring into one coordinated liquidity framework. The components are integrated because they all describe the same process: price probing liquidity, taking it, and either failing or accepting beyond it. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Liquidity reactions can fail. Sweeps can repeat. No level or zone guarantees a directional outcome. Always use independent judgment and risk management. Best Use Cases Mapping where obvious daily and weekly liquidity is likely resting Studying how price behaves after a confirmed sweep Tracking whether displacement and imbalance support the sweep narrative Marking revisit zones after structural repricing Interpretation Notes A sweep by itself is only the beginning of the story. The more useful sequence is sweep, displacement, structural response, and active zone support. Equal-high and equal-low references are helpful because they often identify where liquidity may accumulate before the sweep occurs. The confluence score should be interpreted as a narrative-strength read, not a promise of reversal. Publication Notes This script is intended to be published with a clean chart that clearly shows the active liquidity pool, the current sweep state, and one or two relevant active zones. Do not overload the publication chart with unrelated drawings. The value of the visual example should come from clarity rather than chart decoration. -Made with passion by jackofalltrades Chart Reading Framework 1. Start with the active daily or weekly pool. 2. Determine whether price only touched or truly swept the pool. 3. Check displacement, break state, and confluence. 4. Review active imbalances and repricing blocks for the next revisit path. 5. Use the dashboard to verify whether the liquidity narrative is strengthening or fading. Why This Matters Liquidity logic becomes much more useful when it is organized as a process instead of a list of disconnected levels. This indicator is meant to help the user see that process clearly. Open-Source Notes This script is published open source so users can inspect how sweep persistence, imbalance management, and zone aging are handled. Who This Is For This indicator is for traders who want a structured liquidity map rather than isolated levels. It is especially useful for users who think in terms of sweeps, repricing, and revisit zones. Summary JOAT Liquidity Cartography turns scattered liquidity references into one organized live framework. Its main value is clarity. Additional Notes The strongest use of this script comes from following the sequence of events rather than reacting to a single box or line in isolation. Clean publication images should make that sequence obvious.
Pine Script® indicator
by officialjackofalltrades
Meridian Liquidity Ledger [JOAT]Meridian Liquidity Ledger Introduction Meridian Liquidity Ledger is an open-source Pine Script v6 indicator that maps directional liquidity shelves across a rolling price window. It separates buy-side and sell-side volume concentration, ranks shelves by relative participation strength, extends the most relevant levels through the chart, and summarizes the current liquidity ledger in an institutional-style dashboard. The problem this indicator solves is density. A standard volume profile can show where volume accumulated, but it often does not express directional participation clearly enough for traders who want to know whether the market built more inventory above or below a reference anchor. Meridian Liquidity Ledger addresses that by classifying shelves relative to an adaptive reference price and showing whether each shelf behaves more like a buy shelf or a sell shelf. The script is intended for traders who think in terms of inventory, acceptance, and liquidity stacking. It does not try to replace execution logic. It provides a map of where volume concentrated across the rolling ledger window, where the point of control sits, how dominant the buy-side and sell-side shares are, and how far price has stretched from the anchor and point of control in ATR terms. Because the heavy rendering happens only on the last visible bar, the indicator aims to deliver rich visual output without turning into an unreadable chart wall. Historical shelf zones, profile bars, dotted spines, the point of control extension, and the dashboard all work together to make the liquidity map readable rather than overwhelming. Core Concepts 1. Adaptive Reference Price At the center of the ledger is a reference engine built from an EMA and a deviation adjustment. The script can use a plain EMA reference or a slight adaptive band depending on the user setting. float emaRef = ta.ema(close, referenceLength) float rangeDev = ta.stdev(close, deviationLength) * referenceBias float synthetic = close >= emaRef ? emaRef - rangeDev * 0.20 : emaRef + rangeDev * 0.20 This reference acts as the ledger divider. Shelves above the reference are treated as sell-side inventory zones. Shelves below the reference are treated as buy-side inventory zones. 2. Rolling Price-Volume Binning The script scans a configurable lookback window, divides the full price range into bins, and accumulates total, buy-side, and sell-side volume in each bin. This creates the ledger foundation. Instead of looking only at price touches, the indicator asks where actual traded volume concentrated across the window. That gives each shelf more meaning than a simple horizontal line. 3. Shelf Strength Ranking Each bin’s relative strength is measured as a percentage of the maximum bin volume in the window. Only shelves above the minimum strength threshold are rendered. That keeps weak background noise from cluttering the chart. This is important because the point of the ledger is not to show every possible micro shelf. It is to show the shelves that stood out meaningfully within the chosen lookback. 4. Shelf History And Spine Extension For each active shelf, the script estimates how far left the midpoint price was last crossed, then draws a historical zone, a profile bar on the right, and an optional dotted spine through the shelf midpoint. This creates both historical and forward reference in a single visual package. The effect is similar to having a compressed split-profile, a shelf map, and a point-of-interest extension all in one indicator. 5. Point Of Control And Ledger Balance The point of control is the strongest single shelf in the active ledger. The script can extend that level to the right and label it. At the same time, the dashboard tracks buy share, sell share, total imbalance, top-shelf concentration, and ATR distance to both the reference and the point of control. This makes the ledger useful not just visually but quantitatively. Features Directional liquidity shelves: Separates bins into buy-side and sell-side inventory relative to the reference anchor Adaptive reference engine: Uses EMA and deviation bias to frame the ledger around a contextual central price Rolling volume ledger: Accumulates total, buy, and sell participation across a user-defined window Shelf strength filter: Displays only bins strong enough to matter Historical shelf zones: Shows where active shelves projected through the recent chart history Profile bars on the right edge: Renders compact shelf bars for immediate strength comparison Shelf spines: Optional dotted lines extend each shelf midpoint through the chart Point-of-control extension: Marks and extends the strongest shelf in the current ledger Institutional dashboard: Displays buy share, sell share, imbalance, POC, concentration, shelf count, and ATR distance metrics Confirmed-bar alerts: Includes buy dominance, sell dominance, and anchor stretch conditions Visual Elements Historical shelf zones: These show where strong bins projected back through the active ledger window Right-edge profile bars: Compact bars make it easy to compare shelf strength without reading every label Shelf spines: Optional dotted midpoint lines extend the key shelf levels through the chart Anchor bands: Inner and outer reference bands help frame whether price is balanced or stretched POC label and extension: The strongest shelf remains visible as the primary ledger reference Best Practices Use the ledger to frame where inventory is concentrated before applying your own execution logic Watch the relationship between price, the anchor, and the point of control to judge balance versus stretch Favor shelves that remain visually dominant even as the rolling window updates Remember that shelf color and position are contextual to the current anchor, not absolute predictions of support or resistance Use the buy-share and sell-share readings to understand ledger skew before reacting to a single shelf in isolation Input Parameters Ledger Window: Lookback Bars: Sets the rolling history used to build the ledger Bin Count: Controls the price segmentation granularity Profile Width: Controls the maximum width of the profile bars on the right Shelf Padding: Adjusts the spacing between price and the right-edge profile Reference Engine: Reference EMA Length: Sets the central EMA anchor Deviation Length: Controls the standard-deviation calculation for adaptive biasing Reference Bias: Scales the adaptive offset around the EMA Use Adaptive Anchor Band: Chooses between the synthetic anchor and plain EMA reference Shelf Filters And Display: Minimum Shelf Strength %: Removes shelves below the selected threshold Show Historical Shelf Zones: Toggles the historical box layer Extend Point Of Control: Projects the strongest shelf forward Show Shelf Spines: Enables midpoint extension lines Show Dashboard: Enables the top-right ledger panel How to Use This Indicator Step 1: Start With Buy Share, Sell Share, And Imbalance The dashboard tells you how the rolling ledger is currently distributed. If buy share dominates, the ledger is skewed below or through the anchor in a way that favors buy-side participation. If sell share dominates, the opposite is true. Step 2: Locate The Point Of Control Find the extended POC line. This is the strongest shelf in the current window. It often acts as the most important reference price when judging whether the market is balanced, stretched, or returning to its highest concentration zone. Step 3: Compare Price To The Reference Anchor The reference and its surrounding bands tell you whether price is trading above, below, or far away from the ledger center. This is useful for deciding whether the market is exploring beyond inventory or still trading within its main concentration zone. Step 4: Focus On The Strongest Shelves The most useful shelves are usually the ones with the greatest width, clearest labels, and strongest color intensity. Those are the bins where the rolling window concentrated the most inventory. Step 5: Use The Ledger As A Context Map Meridian Liquidity Ledger is best used as a map of where liquidity stacked and how it is distributed. Pair it with your own entry logic rather than treating any single shelf as an automatic trade signal. Indicator Limitations The ledger is rolling-window dependent, so shelf hierarchy can change as older bars leave the calculation window A strong shelf does not guarantee support or resistance will hold on the next interaction Directional buy and sell classification is based on bar-level bullish versus bearish volume attribution, which is an approximation rather than true order-flow data On illiquid symbols or very small windows, shelf concentration can become unstable and less informative Originality Statement Meridian Liquidity Ledger is original in the way it turns a rolling bin-based volume map into a directional liquidity shelf system with adaptive anchoring. It is not a generic profile overlay: It separates buy-side and sell-side participation relative to an adaptive reference rather than showing only total profile mass It combines historical shelf zones, right-edge shelf bars, shelf spines, and POC extension in one integrated view It frames liquidity through dashboard metrics such as imbalance, concentration, and ATR stretch rather than pure histogram display It creates a practical shelf map for context instead of relying on a single profile style or one static reference Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Liquidity shelves and point-of-control levels are descriptive references built from rolling historical data. They do not guarantee future support, resistance, or directional continuation. Always use independent judgment and proper risk management. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
2
Covenant Regime Atlas [JOAT]Covenant Regime Atlas Introduction Covenant Regime Atlas is an open-source Pine Script v6 market-regime indicator built to classify directional state through trend, expansion, persistence, and retest quality. Its purpose is not to predict the next trade by itself, but to create a durable bias layer that tells the trader whether the market is developing a bullish regime, a bearish regime, or a maturing directional environment worth respecting. The problem this script solves is context instability. Many traders can spot a moving-average crossover or a burst in ATR, but that alone does not answer whether the regime is actually mature, whether momentum has real separation, or whether recent retests are behaving consistently with the dominant trend. Covenant Regime Atlas addresses this by blending multiple regime components into one overlay and dashboard. The script uses a dual-mid framework derived from EMA and HMA references, ATR-scaled cloud and envelope bands, persistence measurement, heat normalization, slope impulse, and retest memory. This lets it move beyond a simple bullish-versus-bearish cross and instead describe whether the regime is developing, mature, expanding efficiently, or internally cooling. The result is an indicator for traders who want a cleaner read of bias before interpreting any trigger tool. It is especially useful as a regime filter for execution indicators and strategies that should behave differently in mature directional flow versus unstable transition periods. Core Concepts 1. Directional Mid Versus Structural Mid The script creates a fast directional midpoint and a slower structural midpoint using blended EMA and HMA references. The spread between those two curves forms the backbone of regime direction. float directionalMid = math.avg(emaFast, hmaFast) float structuralMid = math.avg(emaSlow, hmaSlow) bool trendBull = directionalMid > structuralMid This gives the regime engine more shape than a single moving average crossover. The directional mid measures active flow. The structural mid measures slower context. 2. Regime Strength Through Separation And Heat Regime strength is calculated from ATR-normalized spread plus the distance of normalized heat from its midpoint. In other words, the regime is strongest when the fast and slow structures are well separated and price is also positioned decisively within its recent range. This helps avoid overvaluing tiny directional crosses that occur with little actual separation or energy. 3. Persistence And Maturity Every regime needs time to prove itself. The script counts how long the current directional condition has been intact and compares that against a user-defined persistence floor. Once the threshold is met, the regime is treated as mature rather than merely developing. This matters because a fresh directional flip is different from a directional condition that has held for many bars and survived multiple retest opportunities. 4. Retest Memory After a mature regime forms, the indicator watches for controlled retests of the directional midpoint. Bull retests occur when price revisits the midline from above and closes back above it. Bear retests use the opposite condition. The last retest is stored as a dotted line and extended forward until it becomes irrelevant. This gives the trader a simple memory of where the market most recently confirmed trend participation. 5. Pulse, Expansion, And Efficiency The script also measures volatility expansion, slope impulse, heat drift, trend separation percentage, and directional travel efficiency. These metrics allow the dashboard to distinguish between a mature regime that is expanding forcefully and one that is mature but internally cooling or grinding. Features Bull and bear regime classification: Uses fast-versus-slow blended midpoints to define directional control Maturity logic: Distinguishes developing regimes from mature ones using persistence counting ATR-scaled cloud and envelope: Frames the current directional corridor directly on the chart Retest memory engine: Stores the latest mature-regime retest level for forward reference Initiation band: Preserves the regime start envelope so traders can judge distance from the original launch zone Pulse ribbon: Adds a compact visual band around price to reflect internal heat conditions Regime backdrop shading: Tints the chart according to the active directional state Detailed dashboard: Displays strength, heat, persistence, expansion, slope pulse, retest distance, maturity, efficiency, and more Confirmed-bar alerts: Includes mature bias, retest, expansion, continuation, efficient trend, and heat-reset conditions Data-window outputs: Exposes regime internals for systematic reading or comparison Visual Elements Directional cloud: The gap between the fast and slow regime mids shows whether the market is operating with clean separation Envelope bands: ATR-based boundaries help frame the active directional corridor around price Initiation band: The regime launch area stays visible so users can measure how far the trend has traveled from origin Retest line memory: The latest confirmed retest is preserved as a direct chart reference Backdrop and pulse ribbon: Context shading and the pulse band make regime character readable without overloading the chart Best Practices Treat mature regimes differently from developing ones because the same trigger can behave very differently in each state Watch heat drift when a regime remains mature but starts losing internal energy Use retest memory to frame participation zones rather than chasing every extension away from the midline Give more weight to regimes that show both persistence and expansion instead of one without the other Use the atlas as a context engine first and an alert source second Input Parameters Trend Engine: Fast Length: Sets the faster directional reference Slow Length: Sets the slower structural reference Heat Window: Defines the range-normalization window for heat calculations ATR Length: Controls volatility normalization Cloud Width Factor: Sets the width of the directional cloud and envelope Retest Engine: Show Retest Memory: Toggles retest storage and line rendering Retest Cooldown Bars: Prevents retests from firing too frequently Persistence Floor: Sets how many bars are required before a regime is considered mature Show Initiation Band: Displays the preserved start range of the current regime Maturity Window: Controls maturity scaling and travel-efficiency measurements Display: Show Dashboard toggle Show Regime Backdrop toggle Show Pulse Ribbon toggle Independent bull, bear, neutral, and panel colors How to Use This Indicator Step 1: Read Regime Tag And Strength Begin with the dashboard’s regime tag. It tells you whether the market is bullish or bearish and whether that state is still developing or already mature. Pair that with the strength reading to avoid confusing a weak directional bias with a strong one. Step 2: Check Persistence And Expansion Persistence tells you how long the regime has survived. Expansion tells you whether volatility is supporting the move. A mature regime with positive expansion usually deserves more respect than a new regime with weak expansion. Step 3: Use Retest Memory As A Structural Anchor When the retest line is present, it marks the last meaningful participation check inside the trend. That line can help frame whether the current move is still building from a healthy base or drifting too far away from supportive structure. Step 4: Watch Heat Drift And Efficiency Heat drift helps show whether the regime is internally warming or cooling. Efficiency tells you whether directional travel has been orderly. These readings are helpful when deciding whether the trend still looks clean or is becoming unstable. Step 5: Use It As The Bias Layer For Other Tools Covenant Regime Atlas is best used as a bias filter. It helps define whether you should be thinking continuation, pullback participation, or caution. Pair it with your own trigger logic rather than using the regime alone as a full trading plan. Indicator Limitations A developing regime can fail before reaching maturity, especially in choppy markets Retest memory is useful for context, but the stored retest level is not guaranteed to hold on future tests Efficiency and heat drift are descriptive metrics, not predictive guarantees of continuation The indicator can still classify a directional state during periods where execution conditions are poor for actual trading Originality Statement Covenant Regime Atlas is original in the way it blends trend separation, maturity, retest memory, expansion, and efficiency into a unified regime overlay. It is not just a moving-average cloud with added cosmetics: It separates directional identity from maturity, allowing the user to distinguish developing and established regimes It stores retest memory as a living structural feature instead of relying only on static crossover logic It combines heat, slope, expansion, and efficiency into one dashboard so regime quality can be judged from multiple dimensions It preserves the initiation band of the current regime, which gives context that typical trend overlays do not maintain Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Regime readings describe current market structure and internal state based on historical prices. They do not guarantee future movement or profitable trading decisions. Always use independent judgment and proper risk management. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Compression Shift Index [JOAT]Compression Shift Index Introduction Compression Shift Index is an open-source Pine Script v6 indicator designed to detect transitions between compression and displacement. It measures whether price is storing energy in a tight state, whether that energy is beginning to release directionally, and whether the release is supported by enough pressure and travel efficiency to matter. The problem this indicator solves is timing. Traders often recognize trend after the move is already mature, or they chase weak momentum bursts that never become true displacement. Compression Shift Index is built to distinguish between quiet compression, directional pressure, and confirmed shift conditions so the user can see whether price is merely active or whether a real state change is underway. The script lives in its own pane, but it also projects tactical shift ranges onto the main chart. That means it can work as both a state engine and a visual execution aid. The pane handles classification and scoring. The overlay range preserves the high, low, and midpoint of the most recent active shift so price can be read against the trigger zone directly on the chart. Rather than relying on one oscillator reading, the script blends moving-average spread, RSI of momentum, ATR expansion, path efficiency, and compression mathematics. The result is not a conventional trend tool. It is a state-transition tool built to show when stored pressure is becoming directional opportunity. Core Concepts 1. Compression Score Compression is measured by comparing the recent price range to ATR-normalized movement over a configurable window. As the range contracts relative to expected volatility, the compression score rises. float compressionRatio = safeDiv(ta.highest(high, compressionLength) - ta.lowest(low, compressionLength), ta.atr(compressionLength) * compressionLength) * 100.0 float compressionScore = clamp(100.0 - compressionRatio, 0, 100) This means the script is not labeling compression by candle size alone. It evaluates the market relative to its own volatility conditions. 2. Displacement Score Displacement is measured through moving-average spread magnitude, RSI-based pressure away from neutrality, and fast-versus-slow ATR expansion. A high displacement score means price is no longer just compressed. It is pushing with enough directional force to deserve attention. 3. Pressure Confirmation Directional pressure requires more than a large reading. Bullish pressure needs positive spread and price acceptance above the fast EMA. Bearish pressure requires the opposite. This creates a separation between raw movement and directional pressure that is actually aligned with the current path of price. 4. Shift Range Memory When a confirmed bull or bear shift occurs, the script stores the initiating bar’s high and low, then extends that range for a configurable number of bars. As new bars arrive, the active range updates its upper and lower boundaries. This transforms the shift from a momentary signal into a tactical map. The trader can judge whether price is holding inside the shift range, stretching away from it, or failing back through the structure. 5. Quality And Travel Efficiency Not every shift is equal. The script measures path efficiency by comparing net travel to the cumulative path traveled across the efficiency window. That helps distinguish efficient directional release from noisy back-and-fill movement. When displacement, pressure, and efficiency all align, the quality score rises. This is especially useful for separating impulsive continuation from unstable burst behavior. Features Compression and displacement state engine: Differentiates quiet conditions from directional release Bull and bear shift detection: Confirms directional shifts only after displacement and pressure criteria align Tactical overlay range: Projects the active shift high, low, and midpoint onto the main chart Ribbon bias display: Adds a visual ribbon showing directional pressure inside the pane Travel efficiency scoring: Measures whether displacement is clean or noisy State backdrop and candle tinting: Tints both pane and chart context according to the current state Detailed dashboard: Publishes compression, displacement, ATR ratio, heat, range, stretch, velocity, efficiency, quality, and persistence Confirmed-bar alerts: Includes compression, bull shift, bear shift, pressure, release, fade, and quality-state alerts Data-window exports: Makes many internal scores accessible without adding extra plots to the pane Range-aging logic: Tracks how long the active shift has been in effect Visual Elements Pane state curves: The net shift, compression, and displacement lines provide a layered read of current state Ribbon bias fill: The pane ribbon helps show whether directional pressure is leaning bullish or bearish before full shift confirmation Overlay shift range: The active high, low, and midpoint are projected onto the price chart for tactical context Backdrop and candle tinting: The indicator colors both pane and chart state to make transitions easier to identify at a glance Dashboard diagnostics: The top-right panel summarizes metrics that would otherwise require several separate indicators Best Practices Wait for displacement to dominate compression before assuming a move has truly released Use high-quality shifts as higher-priority context than low-efficiency state changes Read the active shift range as a tactical map, not as a guarantee that price will respect every boundary If pressure improves but displacement remains weak, treat the move as developing rather than already established Use the state engine to filter your existing entries instead of trying to trade every alert in isolation Input Parameters Signal Engine: Fast MA Length: Sets the fast trend reference Slow MA Length: Sets the slow trend reference Compression Window: Defines the state lookback for range contraction RSI Length: Sets the smoothing period for momentum pressure evaluation Momentum Length: Defines the raw momentum lookback Thresholds: Compression Threshold: Determines how compressed the market must be to count as compressed Displacement Threshold: Determines how forceful the move must be to count as a shift Shift Hold Bars: Controls how long the active shift range remains alive Efficiency Length: Sets the path-efficiency lookback Show Trigger Range: Toggles the projected overlay range on the chart Visual Language: Bull and bear color pairs Neutral color and panel background Show Dashboard toggle Show State Backdrop toggle Show State Ribbon toggle How to Use This Indicator Step 1: Identify The Current State Start with the dashboard and pane. If compression is dominant, the market is still storing energy. If bull or bear pressure is present, directional force is building. If a bull or bear shift is confirmed, the state transition has already occurred. Step 2: Compare Compression To Displacement The most useful read is not the absolute number alone, but the relationship between compression and displacement. When compression is high and displacement is still low, the market is coiled. When displacement overtakes compression, the release phase is gaining control. Step 3: Use The Active Shift Range Once a shift is active, watch the projected upper, lower, and midpoint lines on the main chart. These define the tactical zone created by the displacement event. Price behavior around that range often provides better context than the signal bar alone. Step 4: Check Quality And Efficiency A high-quality state means the release is not only directional but also relatively efficient. If quality is weak, treat the shift more cautiously because the move may be noisy or unstable. Step 5: Use It As A State Filter Compression Shift Index is most effective as a state filter for your own process. It can help you avoid forcing breakout logic during compression and avoid fading a move that is still in active displacement. Indicator Limitations Compression does not guarantee that a strong displacement event will follow immediately A shift can fail quickly if the broader market context does not support follow-through Travel efficiency can lag during early release phases because noisy price action is still being absorbed into the lookback The active shift range is a tactical reference zone, not an automatic support or resistance guarantee Originality Statement Compression Shift Index is original in the way it turns compression, displacement, pressure, efficiency, and range memory into one unified transition model. It is not simply an oscillator blend for cosmetic effect: It frames compression and release as a state transition rather than a single threshold cross It preserves the originating shift range on the main chart, which links pane analysis to execution context It includes efficiency and velocity metrics that help separate orderly displacement from noisy expansion It uses a dashboard that summarizes the full state stack rather than forcing the user to infer everything from one line Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Compression and displacement readings describe market state, not guaranteed future direction. Markets can remain compressed longer than expected or reverse immediately after a shift appears. Always use independent judgment and proper risk management. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Auction Structure Ledger [JOAT]Auction Structure Ledger Introduction Auction Structure Ledger is an open-source Pine Script v6 indicator that transforms confirmed pivot behavior into structured auction zones. Instead of treating every swing high and swing low as equally important, the script looks for clustered defended pivots, measures how much volume-confluence exists at those prices, and converts the result into support and resistance shelves that persist, update, and eventually retire as price accepts or fails them. The problem this indicator solves is structural ambiguity. Many charts contain repeated pivot noise that does not deserve equal visual weight. A single swing high does not automatically represent meaningful supply, and a single swing low does not automatically represent meaningful demand. Auction Structure Ledger filters pivot activity through clustering logic and local volume-confluence so the chart emphasizes defended areas where auction acceptance and rejection are more likely to matter. The script is useful for traders who think in terms of accumulation, distribution, acceptance, and failure. It does not attempt to forecast the future from one oscillator reading. It organizes the chart around defended reference zones, tracks how price behaves around them, and summarizes the current auction state in a way that can support discretionary analysis or other rule-based systems. Because it combines pivot clustering with a volume-confluence layer, the indicator is not simply painting boxes around old highs and lows. It is trying to identify where the market repeatedly acknowledged a price region and whether that region still behaves as support or resistance. Core Concepts 1. Pivot Confirmation And Structural Timing The script uses `ta.pivothigh()` and `ta.pivotlow()` to confirm swing highs and lows with a symmetric lookback. This means zones are only created after the pivot is actually confirmed, which avoids the false certainty that comes from drawing structure before the right-side bars exist. float pivotHigh = ta.pivothigh(high, pivotLength, pivotLength) float pivotLow = ta.pivotlow(low, pivotLength, pivotLength) This is deliberate non-repainting behavior. The structure appears later than the original pivot candle, but it appears only after the market has confirmed the swing. 2. Clustered Defense Rather Than Single-Pivot Noise Once a pivot appears, the script scans a configurable cluster window to count how many nearby pivots formed within an ATR-based tolerance. That cluster count becomes part of the zone’s strength score. This is what gives the ledger its auction logic. A zone becomes more meaningful when the market keeps defending the same approximate level rather than printing a one-off pivot and moving on. 3. Volume-Confluence Layer The script builds a rolling volume distribution across the current price window and checks how much of that distribution sits at the pivot price. That reading is normalized into a confluence percentage. In practice, this means a clustered pivot with low local volume-confluence is treated differently from a clustered pivot that sits in a high-activity price region. The first may represent weak structure. The second may represent a more meaningful auction shelf. 4. Support And Resistance Shelf Construction When a pivot passes the cluster criteria, the script creates a zone with ATR-based width. Resistance shelves are built above price with an offered profile. Support shelves are built below price with a bid profile. Each shelf contains a body, a spine line through the midpoint, and an information label summarizing the zone. The shelf width is not arbitrary. It scales with ATR so zones remain proportionate across different volatility conditions and instruments. 5. Acceptance And Failure Tracking After a zone is created, the script continues monitoring it. If price trades within the zone and remains inside it, the shelf is counted as accepted. If price closes through the invalidation side of the shelf, it is counted as failed and eventually removed after a short lifecycle buffer. That behavior matters because the market is not static. A valid shelf today can become irrelevant after repeated acceptance or a decisive failure. Features Cluster-confirmed auction shelves: Builds zones only when pivots cluster within an ATR-based tolerance Support and resistance separation: Maintains bid-side and offered-side structure independently Volume-confluence scoring: Measures how much rolling price-volume concentration supports each shelf ATR-scaled zone width: Keeps shelf geometry adaptive to volatility instead of fixed-width boxes Acceptance and failure tracking: Continues scoring shelves after creation as price interacts with them Confluence ribbon: Displays whether current price is trading in a high-confluence region of the rolling ledger Nearest distance metrics: Shows the ATR distance to the closest active support and resistance shelves Institutional dashboard: Summarizes support count, resistance count, acceptance rate, failure rate, bias, and strongest zone Confirmed-bar alert set: Includes bullish ledger, bearish ledger, fresh support, and fresh resistance alerts Data-window outputs: Exposes structure counts and confluence values for additional interpretation Visual Elements Auction shelves: Each zone is rendered as a structured body rather than a simple line so the user can read width and tolerance clearly Shelf spine: A dotted midpoint line marks the internal balance area of each shelf Confluence ribbon: The ribbon around price shows whether the current location overlaps with strong rolling confluence Responsive color logic: Support, resistance, touched, and failed states each alter the way the shelf is displayed Compact info labels: Each zone carries its own context label so the chart remains interpretable without opening settings Best Practices Give more weight to shelves that combine both repeated pivot defense and strong volume-confluence Watch how price behaves on the first return to a new shelf before assuming the level is strong Treat accepted zones and failed zones differently because they tell very different auction stories Use nearest support and resistance ATR distances to understand whether price is extended or structurally balanced Combine the ledger with your own trigger logic rather than assuming shelf presence alone is a complete trade plan Input Parameters Structure Engine: Pivot Length: Sets how many bars are required on each side of a pivot to confirm it ATR Length: Controls the volatility measure used for zone sizing and tolerance logic Shelf ATR Width: Sets the width of each auction shelf relative to ATR Cluster Window: Defines how far back the script scans for repeated nearby pivots Cluster ATR Tolerance: Determines how close pivots must be to count as the same structural cluster Volume Confluence: Volume Window: Sets the rolling price-volume study range Volume Bins: Controls the granularity of the confluence distribution Confluence Strength Threshold: Defines when the ribbon should represent strong price-volume overlap Show Confluence Ribbon: Toggles the contextual ribbon around price Display: Show Dashboard: Enables the top-right structural summary Color inputs: Allow independent styling for support, resistance, neutral, and panel colors How to Use This Indicator Step 1: Start With The Bias Row The dashboard summarizes whether active support shelves outnumber resistance shelves, whether the market is balanced, and how strong the current ledger looks. This gives immediate context before focusing on individual zones. Step 2: Identify The Strongest Active Shelf Check the strongest zone reading and visually locate the shelf with the most emphasis. This is often the most useful structural reference when price approaches an auction boundary. Step 3: Watch Acceptance Versus Failure Acceptance means price is interacting with the zone without invalidating it. Failure means price has moved through the wrong side of the shelf. A high failure rate weakens the reliability of the current ledger. Step 4: Use The Nearest ATR Distances The dashboard shows the ATR distance to the nearest support and resistance shelves. That helps frame whether price is sitting directly on a structure reference or is trading between meaningful levels. Step 5: Combine With Your Own Execution Model Auction Structure Ledger is most useful as a context layer. It defines where defended structure exists. It does not decide entries or exits for you. Use the zones to frame reactions, continuation decisions, or risk placement inside your own process. Indicator Limitations Pivot-based structure is inherently delayed because the script waits for right-side confirmation before creating a shelf A clustered pivot region can still fail immediately if broader market flow overwhelms the local auction structure Rolling volume-confluence is context-dependent and can shift as the lookback window evolves Zones are analytical references, not guarantees that support or resistance will hold on the next test Originality Statement Auction Structure Ledger is original in the way it turns clustered pivot defense and rolling volume-confluence into a persistent auction map. This is more than a standard support and resistance overlay: It requires repeated pivot behavior before treating a level as meaningful structure It combines cluster count and volume-confluence into a unified strength score for each shelf It tracks acceptance and failure after creation so zones remain part of a living ledger rather than a static drawing layer It presents the structure through a bias dashboard and confluence ribbon that helps translate zone behavior into usable chart context Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Support and resistance shelves represent historical auction behavior, not guaranteed future turning points. Markets can accept, reject, or ignore any level without warning. Always use independent judgment and appropriate risk management. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Aperture Imbalance Register [JOAT]Aperture Imbalance Register Introduction Aperture Imbalance Register is an open-source Pine Script v6 indicator built to detect, rank, and manage directional imbalance zones in a more structured way than a basic fair value gap overlay. Instead of marking every raw three-candle gap and leaving the trader to judge which ones matter, the script builds a register of active bullish and bearish imbalance zones, measures their internal lower-timeframe participation, assigns a quality score, tracks mitigation progress, and keeps the resulting stack visible with a compact institutional-style dashboard. The problem this indicator solves is selectivity. Many imbalance tools show too many zones, retire them too slowly, or provide no context for which inefficiencies are likely to matter. Aperture Imbalance Register focuses on the active imbalance stack and grades each register by combining gap displacement with lower-timeframe volume participation. That lets the trader see not only where imbalance exists, but how concentrated the internal participation was when the zone formed. The script is designed for traders who use imbalance as part of a broader market-structure process. It is not trying to predict every reversal. It is designed to answer practical chart questions: where are the open directional inefficiencies, how strong are they, how much of each zone has been mitigated, and whether the current stack favors bullish or bearish continuation pressure. Because the script uses Pine Script v6 lower-timeframe arrays, the register is not just a visual box painter. It uses lower-timeframe intrabar data to build participation histograms inside each zone, identify the local point of control of the imbalance, and display whether a register still has open space or has already been substantially repaired by later price action. Core Concepts 1. Confirmed Bullish and Bearish Gap Detection The script detects a bullish register when the current low is above the high from two bars ago and the middle bar confirms continuation. It detects a bearish register with the inverse condition. A sigma-style filter based on the statistical size of the gap helps reject weaker dislocations: bool confirmedBullGap = enoughGapHistory and barstate.isconfirmed and low > high and high > high and bullGapSigma > gapSigma bool confirmedBearGap = enoughGapHistory and barstate.isconfirmed and high < low and low < low and bearGapSigma > gapSigma This means the indicator is not plotting every minor price skip. It requires both structural displacement and a size filter before a new register is added to the active stack. 2. Lower-Timeframe Participation Ranking Once a gap is confirmed, the script requests lower-timeframe `close` and `volume` data using `request.security_lower_tf()` and maps intrabar participation into configurable bins across the zone. That participation profile is then used to score the register. This matters because not all imbalances are equal. Some form with broad participation spread across the full zone. Others form with concentrated acceptance in one portion of the gap. The participation histogram helps identify where the market transacted most heavily inside the register and where the imbalance may be most meaningful on a retest. 3. Quality Scoring and Register Prioritization Each register receives a quality score derived from the concentration of lower-timeframe participation plus the size of the gap sigma event. Higher-quality zones get more visual emphasis, stronger edges, and greater dashboard influence. In practice, this creates a hierarchy. The trader does not need to treat every imbalance equally. The register list naturally emphasizes the zones with stronger displacement and denser participation. 4. Mitigation Tracking and Lifecycle Management Open imbalance is not enough. What matters is whether the zone remains unfilled. The script measures mitigation depth as price trades back into the register and updates the display from open to partial mitigation to fully filled. When the `Retire Fully Mitigated Zones` option is enabled, fully repaired or invalidated zones are removed from the active stack. This keeps the chart cleaner and prevents stale boxes from dominating the view after the market has already rebalanced the inefficiency. 5. Participation Histogram and Local POC Each register can display a small internal histogram showing participation intensity by price segment. The maximum participation bin defines the register’s local point of control, and that level is drawn as a line through the zone. This gives the register more structure than a plain box. Instead of just seeing the outer bounds, the trader can see where activity concentrated inside the imbalance. Features Bullish and bearish imbalance registers: Detects confirmed gap-style inefficiencies in both directions using confirmed-bar logic Lower-timeframe participation model: Uses lower-timeframe arrays to rank each register by internal participation rather than gap presence alone Quality scoring: Combines participation concentration and sigma displacement into a single register score Mitigation tracking: Continuously estimates how much of each register has been repaired by later price action Automatic lifecycle retirement: Fully mitigated or invalidated zones can be retired automatically to reduce clutter Internal histogram bars: Optional profile bars show where lower-timeframe participation concentrated inside the zone Point-of-control line: Each register maintains a local participation midpoint for tactical reference Midline support: Optional dotted midpoint line helps visualize the fair center of the register Dashboard summary: Displays bull count, bear count, mitigated count, average quality, best quality, stack count, and bias Data-window exports: Publishes stack bias, quality sum, and active register count for downstream reading Visual Elements Register boxes: The outer body of each imbalance zone shows whether price is dealing with bullish or bearish open inefficiency Participation bars: Optional internal profile bars highlight where lower-timeframe participation concentrated inside the register Midline and POC references: The centerline and participation high point help identify the most important sub-levels inside the zone Adaptive edge intensity: Stronger registers receive more visual emphasis than weaker ones Mitigation labels: Each register updates from open to mitigation to filled so the chart communicates lifecycle state directly Best Practices Use the register stack as context, then let your own execution model decide entries Favor high-quality registers that align with broader structure instead of reacting to every new zone Treat partial mitigation as a sign that some imbalance has already been repaired, not as automatic invalidation Be especially careful on symbols with poor lower-timeframe data because internal participation quality can degrade If the active stack flips from one side to the other quickly, read that as changing imbalance context rather than a guaranteed reversal signal Input Parameters Intrabar Data: Auto Lower Timeframe: Automatically derives a lower timeframe for participation analysis Custom Lower Timeframe: Allows manual lower-timeframe selection when auto mode is disabled Calculation Depth: Controls how much lower-timeframe history is requested Imbalance Detection: Gap Sigma Filter: Sets the minimum displacement strength required for a new register Participation Bins: Controls how many internal profile slices are built inside each zone Max Active Registers: Limits how many open registers remain on the chart at once Retire Fully Mitigated Zones: Removes zones once they are effectively repaired or invalidated Lifecycle And Display: Extend Active Zones: Extends open registers to the right for forward reference Show Participation Histogram: Displays the internal lower-timeframe bar profile Show Midline: Draws a dotted centerline through each register Show Dashboard: Enables the top-right summary panel How to Use This Indicator Step 1: Read the Stack Bias Start with the dashboard. Compare the bullish and bearish active register counts and note the stack bias value. A positive bias means bullish imbalance is dominating the active structure. A negative bias means bearish imbalance is dominating. Step 2: Focus on Quality, Not Quantity Use the average and strongest quality readings to judge whether the active stack is meaningful. A chart with fewer but stronger registers is often more actionable than a chart with many weak inefficiencies. Step 3: Watch Mitigation Progress Each active register updates from open to partial mitigation to filled. Open registers represent unresolved inefficiency. Deeply mitigated registers have already lost part of their tactical edge. Step 4: Use The Internal Profile When the participation histogram is enabled, look for bins that concentrated most of the intrabar volume. The local point of control and denser profile segments often become the most useful retest references inside the wider zone. Step 5: Apply It As Context, Not A Standalone Trigger Aperture Imbalance Register works best as a context layer. It helps frame whether an imbalance stack is supporting continuation or warning of unresolved opposing pressure. Use it with your own structure, execution, and risk model. Indicator Limitations Because the script uses lower-timeframe data requests, realtime behavior can differ slightly from historical behavior as new intrabars accumulate inside the live bar Mitigation does not guarantee reversal or continuation. It only shows how much of the zone has been traded back through A strong register can still fail if broader market structure, liquidity, or volatility conditions change On very low-history charts or symbols with thin lower-timeframe data, participation quality can be less informative than on liquid instruments Originality Statement Aperture Imbalance Register is original in the way it treats imbalances as managed registers rather than passive boxes. The script is published because it contributes more than a generic fair value gap mashup: It ranks each imbalance with a lower-timeframe participation model instead of drawing every gap with equal importance It combines gap displacement, intrabar participation, mitigation tracking, and internal histogram rendering into a single workflow It maintains a tactical register stack with lifecycle management rather than leaving stale zones permanently on the chart It exposes stack-level information through a dashboard and data-window fields so the indicator can be read systematically Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Imbalance zones are analytical references based on historical price behavior and lower-timeframe participation, not guarantees of future reaction. Markets can rebalance, ignore, or invalidate any zone without warning. Always use proper risk management and independent judgment. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
Concordance Regime Synthesis [JOAT]Concordance Regime Synthesis Introduction Concordance Regime Synthesis is an open-source strategy framework that combines regime state, pressure, participation, structure, and higher-timeframe bias into one non-repainting confluence model. The strategy is designed to avoid single-factor entries by requiring multiple independent conditions to align before risk is deployed. Core Concepts 1. Multi-factor confluence scoring Long and short setups are scored independently using regime direction, normalized price pressure, participation-axis deviation, delta behavior, recent structure, and optional higher-timeframe bias. 2. Regime-aware execution Entries only occur when directional confluence exceeds a threshold and the score spread clearly favors one side. 3. ATR-based risk handling Stops, targets, and optional trailing logic are all derived from ATR so the strategy adapts to volatility instead of using fixed-tick assumptions. Strategy Properties Initial capital: 10,000 Order size: 10% of equity per trade Commission: 0.06% Slippage: 1 tick Pyramiding: 0 Orders processed on close Originality Statement This strategy is original in its use of a confluence gate that requires independent agreement from regime, pressure, delta, participation, structure, and optional HTF alignment before entries are allowed. It is published as an educational framework for multi-factor strategy construction rather than as a promise of future performance. Disclaimer This strategy is for educational and informational purposes only. Backtest results depend on symbol, timeframe, market regime, and execution assumptions. Historical results do not guarantee future returns. Always validate assumptions and use realistic risk controls.
Pine Script® strategy
by officialjackofalltrades
Foundry Range Ledger [JOAT]Foundry Range Ledger Introduction Foundry Range Ledger is an open-source range and auction-structure indicator that maps active supply, active demand, and the live auction corridor between them. The script is built for traders who need to know where the market is being offered, where it is being defended, and whether price is rotating cleanly between those two points or breaking away from them. Instead of relying on a large dashboard to explain everything, Foundry is designed so the main value is visible directly on the chart. The indicator draws split supply and demand boxes, top and bottom rails, an equilibrium reference, an auction corridor, and candle-state coloring so the structure can be read without hunting through text. The problem Foundry solves is range readability. Many range indicators either mark too little and disappear once the first break occurs, or they mark too much and become unreadable. Foundry focuses on a smaller number of cleaner, higher-visibility structures so the trader can immediately understand whether the market is boxed, rotating, absorbing, rejecting, or releasing through an active zone. Core Concepts 1. Pivot-Derived Supply and Demand Seeding Foundry begins with confirmed pivot highs and pivot lows. Each confirmed pivot can seed a new zone. If a new pivot forms close enough to the prior pivot of the same type, the zone is treated as a stronger cluster rather than as unrelated noise. This lets the script represent repeated defense or repeated supply more clearly than a single-touch model. 2. Split-Zone Construction Each zone is drawn as a body with two internal halves. For supply, the upper half represents the more aggressive offer side and the lower half represents the response pocket below it. For demand, the lower half represents the more aggressive bid side and the upper half represents the response pocket above it. This creates a cleaner institutional-style visual than a single flat rectangle. 3. Top, Bottom, and Equilibrium Rails Foundry does not leave the zone as only a filled box. Each active zone has clear rails at its boundary and a dashed equilibrium line through its center. These rails make it easier to judge exactly where price is entering, holding, or releasing from the zone. 4. Participation Inside the Zone The indicator tracks directional participation inside the active zone. Touches are counted only when price actually interacts with the zone. Buy-side and sell-side participation are then compared to determine whether the zone is absorbing or rejecting. This information drives both state text and the internal color emphasis of the split halves. 5. Auction Corridor Logic When both an active supply zone and an active demand zone exist at the same time, Foundry calculates the live auction corridor between them. That corridor is the space where price is rotating between opposing areas of interest. The script highlights that corridor directly on the chart and adds an equilibrium reference so range traders can see where the market is most balanced. 6. Release and Post-Break Behavior A zone is not immediately forgotten once price breaks it. Foundry can keep released zones visible as post-break context, allowing the trader to study whether price is cleanly escaping or coming back to retest the released area. This is important because the first break is often only part of the story. The retest frequently matters more than the break itself. 7. Candle-State Coloring Candles are recolored based on where price is interacting. If price is trading inside active supply, the candles reflect offer pressure. If price is trading inside active demand, the candles reflect bid pressure. If price is rotating in the live corridor, the candles shift toward the neutral response color. This creates immediate chart feedback without cluttered shapes. Features Confirmed supply and demand zones: Zones are seeded from confirmed pivots rather than unconfirmed intrabar motion Cluster-aware strengthening: Repeated pivots near the same level strengthen the visual and informational quality of the zone Split zone bodies: Each supply and demand box is divided internally for cleaner auction reading Boundary rails and midpoint rail: Top, bottom, and equilibrium references remain visible directly on the chart Auction corridor cloud: When both sides are active, the space between them is highlighted as a live range environment Stateful release behavior: Broken zones can remain visible as post-break structure instead of vanishing instantly Retest labels: Optional tags mark when price revisits released structure Zone interaction candle coloring: Price bars reflect supply interaction, demand interaction, or corridor rotation state Six-row dashboard: Only the highest-value summary fields remain, keeping the chart as the primary information surface Confirmed-bar alerts: Alerts are available for releases, retests, active auction states, and balanced corridor conditions Input Parameters Range Construction: Pivot Length: Number of bars required on each side to confirm a pivot Cluster Tolerance ATR: Distance allowed between repeated pivots before they are treated as one stronger cluster Zone Width ATR: ATR-scaled depth of each zone Forward Extend Bars: Number of bars the active zone projects forward on the chart Minimum Zone Age: Minimum number of bars before a break qualifies as a meaningful release Context and Behavior: Show Auction Cloud toggle Keep Broken Zones toggle Show Retest Tags toggle Show Zone Labels toggle Recolor Candles toggle Broken Zone Fade Bars: Controls how long released zones remain visible when historical persistence is disabled Break Body Quality and filter toggle: Prevents weak-body candles from being treated as high-quality releases How to Use This Indicator Step 1: Identify Whether Supply, Demand, or Both Are Active If only supply is active, the market is currently capped from above. If only demand is active, the market is currently supported from below. If both are active, price is trading inside a live auction corridor. That is the first and most important read. Step 2: Read the Box Geometry, Not Just the Labels The top and bottom rails define the actual interaction edges. The dashed midpoint shows the local equilibrium of the zone. When price enters the zone, watch where it spends time, where it rejects, and whether the candles recolor in the expected direction. Step 3: Use the Corridor as a Rotation Map When both zones are active, the space between demand top and supply bottom becomes the tradable balance corridor. That space is where mean-reversion and auction-style logic are most relevant. A clean release out of that corridor changes the context immediately. Step 4: Watch Release Quality Foundry does not treat every poke outside a zone as equally important. Body quality can be used as a filter so weak noise does not count the same as committed expansion. This helps reduce false structural releases. Step 5: Retests Matter A released zone that price retests cleanly can be more informative than the initial break itself. Use the retest labels and the remaining zone structure to judge whether the prior range is truly being left behind or simply probed. Indicator Limitations Pivot-based zones confirm only after the pivot is complete, so the script will always favor non-repainting structure over earliest possible marking If price trends strongly without forming relevant repeat pivots, the indicator may show fewer zones than a more aggressive retail-style detector A zone is contextual, not predictive; price can ignore supply or demand completely when momentum is strong enough Balanced corridor conditions do not guarantee rotation and can still resolve into directional continuation The recolored candle state is contextual feedback, not an entry signal by itself Originality Statement Foundry Range Ledger is original in the way it combines pivot-seeded supply and demand bodies, split internal zone construction, visible auction corridor rendering, participation-aware state handling, and post-break structural persistence into one chart-first overlay. The script is designed to make range structure visually readable, not to hide it behind a large panel or reduce it to generic rectangles. Disclaimer This indicator is provided for educational and informational purposes only. It does not provide financial advice or trading recommendations. Supply and demand zones can fail, release, or be ignored entirely by price. Balanced ranges can break violently without warning. Always use independent confirmation and risk management.
Pine Script® indicator
by officialjackofalltrades
Harborside Regime Channel [JOAT]Harborside Regime Channel Introduction Harborside Regime Channel is an open-source regime-mapping indicator built to classify whether the market is expanding, compressing, reclaiming balance, or losing structural support inside a live adaptive channel. The script is designed for traders who need context before they interpret any other signal. Instead of asking only whether price is above or below a moving average, Harborside studies a pivot-fed centerline, adaptive outer rails, higher-timeframe directional agreement, and volatility compression state at the same time. The result is a channel that behaves more like an institutional market map than a simple trend overlay. The problem Harborside solves is regime clarity. Many trend tools keep printing directional color even while the market is actually compressing inside a narrowing structure. Many channel tools show a band but do not explain whether that band is healthy, fragile, extended, or aligned with higher-timeframe pressure. Harborside addresses that by combining channel structure, expansion behavior, and higher-timeframe bias in one chart-first framework. Core Concepts 1. Pivot-Fed Structural Center Harborside does not anchor its regime center to a fixed moving average alone. Instead, confirmed swing highs and swing lows are used to build a rolling center reference. That center is then smoothed to create a structural balance line. This matters because the center is linked to confirmed market geometry rather than only to lagging price averages. The channel therefore breathes with the underlying structure of the market. 2. Adaptive Outer Rails The upper and lower rails are derived from ATR-scaled expansion around the structural center. This means the channel naturally widens when volatility expands and contracts when price compresses. Because the rails are smoothed, they remain readable instead of flickering excessively during intrabar noise. This creates a cleaner map for determining whether price is stretching, reverting, or breaking into a new directional phase. 3. Regime Flips on Confirmed Structural Breaks A bullish regime is not assigned merely because price is green for a few bars. A regime flip occurs when price confirms through the adaptive outer band in the relevant direction. That regime is then maintained until the opposing side is confirmed. This makes the indicator more stable than reactive color-on-close style tools. 4. Compression Detection Harborside measures band width relative to its own historical baseline. When the band compresses below the configured threshold, the script identifies a meaningful reduction in expansion state. This compression state is important because trend-following logic behaves very differently when the market is coiled than when it is already moving freely. Compression is shown directly on the chart and carried into the dashboard state. 5. Projection Rails The script extends projected center, upper, and lower rails forward using current center slope and ATR-scaled projection logic. These projected rails are not predictions in the magical sense. They are forward references showing where the current regime geometry would continue if the active slope persists. That gives the trader a usable visual frame for stretch, continuation, and mean-reversion decisions. 6. Higher-Timeframe Bias Alignment Higher-timeframe bias is requested using offset logic intended to avoid repaint-style behavior from incomplete higher-timeframe bars. Fast and slow higher-timeframe EMA structure is used to determine whether broad directional pressure is supportive, opposing, or neutral. Harborside does not force the higher-timeframe filter on the user. It can be enabled or disabled depending on workflow. 7. Regime Health and Confidence Harborside includes a confidence-style scoring model built from displacement, slope, compression state, and directional bias alignment. This score is not intended to be a trade system on its own. It is a context gauge. A high score means the active regime has cleaner structural support. A low score means the visible state is weaker or more fragile. Features Pivot-fed centerline: The regime center is anchored to confirmed swing structure rather than a static average alone Adaptive outer rails: ATR-scaled bands expand and contract with changing volatility conditions Confirmed regime flips: Bull and bear states change only after confirmed structural breaks through the active channel rails Compression box: Important volatility contraction zones are shown directly on the chart instead of being hidden in a separate pane Projection rails: Forward rails extend the current channel geometry into future bars for context and stretch awareness Higher-timeframe bias filter: Optional HTF directional alignment helps separate local moves from larger directional pressure Regime-colored candles: Candle coloring reflects the active state without relying on cluttered symbols or arrows Band cloud rendering: The active channel body is filled to make directional structure readable at a glance Health and confidence diagnostics: The dashboard summarizes regime quality in compact form Six-row dashboard: The display was intentionally reduced so the chart remains the primary source of information Confirmed-bar alerts: Alerts are available for regime flips, compression holds, center reclaims, HTF alignment, and high-health states Input Parameters Channel Structure: Swing Length: Number of bars required on both sides to confirm pivots used by the structural center Band Multiplier: ATR multiplier used to define the channel width Center Smoothing: Smoothing applied to the structural midpoint Band Smoothing: Smoothing applied to the upper and lower rails Bias and Context: Bias Timeframe: Higher timeframe used for optional directional confirmation Compression Lookback: Baseline window used to measure channel contraction Compression Threshold: Band-width threshold below which the market is treated as compressed Volume Bias Filter: Volume impulse threshold used to label directional support Projection: Projection Bars: Number of bars projected forward Projection ATR Multiplier: Width factor used for forward rails Projection Slope Multiplier: How strongly current center slope influences the forward center projection Display: Show Band Cloud toggle Show Compression Box toggle Show Projection Rails toggle Recolor Candles toggle Show Dashboard toggle How to Use This Indicator Step 1: Read the State from the Chart First Start with the channel itself. Is price controlling the upper side of the structure, the lower side, or compressing near the center? The rails and cloud are meant to answer that visually before the dashboard is consulted. Step 2: Check Compression Before Chasing Direction If the compression box is active, treat the market as coiled rather than trending cleanly. That does not mean price cannot move. It means breakout quality matters more than ordinary directional drift. Step 3: Use Projection Rails as Forward Reference Projection rails are best used for context. If price is already far outside projected geometry, the market may be stretched. If price is traveling inside projected structure, continuation is behaving more normally. Step 4: Compare Local Regime to HTF Bias If the local regime and higher timeframe agree, directional conditions are cleaner. If they disagree, treat the move with more caution. That disagreement often marks either a pullback or a weak local thrust against broader pressure. Step 5: Use Health and Confidence as Filters, Not Commands High confidence does not guarantee follow-through. Low confidence does not guarantee failure. The score is there to grade structural quality, not to replace decision-making. Indicator Limitations Pivot-based structure is intentionally confirmed after the swing forms, so the centerline will never anticipate future pivots Projection rails are structural references, not forecasts of what price must do next HTF alignment is delayed by design because the script uses completed higher-timeframe values for safer non-repainting behavior Compression can persist longer than expected, so directional patience is still required Harborside is a context framework and should not be treated as a guaranteed entry system on its own Originality Statement Harborside Regime Channel is original in the way it combines a pivot-fed structural center, ATR-adaptive regime rails, explicit compression logic, forward projection rails, and optional higher-timeframe agreement into one coherent chart-first overlay. The value of the script is not any one component in isolation. It is the way those components interact to show whether the market is healthy, stretched, compressing, or structurally aligned. Disclaimer This indicator is provided for educational and informational purposes only. It does not provide financial advice, investment advice, or trading recommendations. Any regime reading can fail, reverse, or degrade suddenly due to news, liquidity changes, or ordinary market uncertainty. Always use independent confirmation and risk management.
Pine Script® indicator
by officialjackofalltrades
Quotient Divergence Ledger [JOAT]Quotient Divergence Ledger Introduction Quotient Divergence Ledger is an open-source divergence engine built on a signed participation wave. It tracks regular and hidden divergences, wave energy, directional streaks, and the quality of each divergence event so the trader can judge whether momentum disagreement is minor or meaningful. Core Concepts 1. Signed participation wave The oscillator blends directional volume participation, body pressure, and smoothed wave behavior into one normalized structure. 2. Confirmed pivot-based divergence logic Bullish and bearish divergences are only evaluated from confirmed oscillator pivots, reducing repaint behavior and maintaining clean historical structure. 3. Divergence quality scoring Each event is scored using oscillator displacement, price displacement, and wave energy. This helps separate weak visual divergence from stronger disagreement. Features Regular and hidden divergence modes Wave energy and stretch diagnostics Directional streak tracking Bottom ribbon and institutional dashboard Confirmed-bar divergence and regime alerts Disclaimer This indicator is provided for educational purposes only. Divergence can persist or fail entirely in strong trend conditions.
Pine Script® indicator
by officialjackofalltrades
Axis Pressure Cartography [JOAT]Axis Pressure Cartography Introduction Axis Pressure Cartography is an open-source normalized pressure oscillator that measures how far price has deviated from a configurable moving average and classifies the resulting state into constructive, compressed, or overheated conditions. Core Concepts 1. Normalized MA distance Price is measured against a configurable moving average and normalized against recent maximum deviation so different volatility regimes remain interpretable on the same scale. 2. State persistence Pressure states are held using a confirmation window rather than flipping instantly on small changes, which reduces noise and creates a more stable regime read. 3. Envelope logic Pressure envelopes define structural bounds around the oscillator so extreme expansion can be recognized as a separate state from ordinary constructive trend pressure. Features Normalized pressure oscillator and signal Compression, expansion, and overheated-state classification Envelope rails and pressure background tint Compact institutional dashboard Confirmed alerts for flips, releases, and exhaustion transitions Disclaimer This indicator is educational only. Extreme pressure can persist longer than expected, and compression can resolve in either direction.
Pine Script® indicator
by officialjackofalltrades