Sellsideliquidity — Indicators and Strategies

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.

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

by officialjackofalltrades

Parallax Regime Lattice [JOAT]Parallax Regime Lattice Introduction Parallax Regime Lattice is an open-source market-state overlay built to classify whether price is operating in directional expansion, transitional behavior, chop, or compression. It combines structure events, liquidity sweeps, absorption behavior, EMA alignment, ADX, and choppiness into one continuous regime and confluence model. The problem Parallax solves is fragmented context. Structure, liquidity, and regime are often analyzed with separate scripts, which makes it difficult to see when they actually agree. Parallax consolidates those layers into one chart model so the user can evaluate bias, confluence, and nearby structural risk from a single panel. Core Concepts 1. Structure State The script tracks confirmed swing highs and swing lows and classifies directional breaks as the current structural state. This forms the backbone of the regime engine. 2. Liquidity Level Registry Confirmed pivot highs and lows are registered as buy-side and sell-side liquidity references, extended forward, and marked when swept. 3. Absorption Zones High-volume, low-body candles are used to identify localized demand or supply absorption areas, which are preserved as forward boxes for as long as they remain relevant. 4. Chop and Compression Filters ADX, choppiness, and compression ratio work together to determine whether the market is expanding, compressing, or structurally noisy. 5. Confluence Score Trend direction, structure, liquidity behavior, slope, and expansion quality are combined into one confluence score that is graded directly in the dashboard. Features Structure classification: BOS and regime-state handling from confirmed swing breaks Liquidity sweep tracking: Buy-side and sell-side levels retained and marked when swept Absorption zones: High-volume low-body candles create forward supply or demand boxes Compression box: Compression is visualized directly on the chart when range conditions dominate Confluence heat: Optional background heat reflects directional agreement strength EMA ribbon: Fast, intermediate, and structural composites define directional geometry Institutional dashboard: Bias, regime, ADX/chop, structure, confluence, sweep status, nearest level, and compression are summarized in one panel How to Use This Indicator Step 1: Read the regime row Expansion means structure and conditions favor directional trade selection. Compression and chop mean the market is less suitable for trend continuation logic. Step 2: Check confluence grade The grade gives a compact summary of how strongly the active state is supported by the underlying engines. Step 3: Use liquidity and absorption together A sweep into an active absorption zone is a materially different event than an isolated sweep with no supporting structure. Step 4: Use nearest level for risk framing The nearest tracked structural level helps frame where the next meaningful invalidation or continuation event may occur. Indicator Limitations Swing-confirmed structure always arrives with intentional delay because pivots require confirmation Liquidity levels are contextual references, not guaranteed reversal points Compression and chop states can persist longer than expected in slow markets Parallax classifies regime and confluence; it is not a full execution model by itself Originality Statement Parallax Regime Lattice is original in the way it merges structure, liquidity, absorption, chop, compression, and confluence into one coherent regime overlay rather than presenting those layers as disconnected tools. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Structural, liquidity, and regime readings can fail in live markets. Always apply independent risk management and validation.

by officialjackofalltrades

Liquidity Phantom [JOAT]Liquidity Phantom Introduction The Liquidity Phantom is an advanced open-source liquidity mapping and order flow dynamics engine that reveals where institutional money sits, how it moves, and when it strikes. It tracks unswept swing highs and lows as liquidity pools, detects phantom sweeps (institutional stop hunts), maps liquidity voids where price teleported through ranges without trading, measures gravitational pull toward nearby pools, identifies absorption pulses where passive orders absorb aggressive flow, and detects multi-factor exhaustion at price extremes. Every feature is built around a single thesis: liquidity is the invisible architecture of the market, and mapping it gives traders an edge that price action alone cannot provide. The indicator overlays directly on the price chart with dashed liquidity pool levels, sweep boxes, void ghost boxes, absorption labels, exhaustion markers, liquidity density candles, and phantom drift lines — all managed with array-based cleanup and cooldown logic to keep the chart readable. Why This Indicator Exists Institutional traders do not chase price — they hunt liquidity. Every swing high has stop-loss orders sitting above it (sell-side liquidity). Every swing low has stop-loss orders sitting below it (buy-side liquidity). Institutions need this liquidity to fill their large orders without excessive slippage. Understanding where liquidity pools form, which ones have been swept, and where voids exist in price delivery gives traders a map of institutional intent. Most indicators focus on what price has done. The Liquidity Phantom focuses on where the money is waiting to be taken. It addresses questions that standard indicators cannot answer: Where are the nearest unswept liquidity pools above and below current price? Has a pool just been swept (stop hunt completed)? Are there voids in price delivery that act as magnets for future price action? Is there absorption happening — large volume meeting price with minimal movement, indicating passive institutional orders? Is the current move exhausting — multiple factors aligning at an extreme that suggests reversal? How dense is the liquidity environment around current price? Feature 1: Liquidity Pool Tracker The foundation of the indicator. Every confirmed swing high is mapped as a sell-side liquidity pool (dashed line extending right, labeled "SELL LIQ" with the price). Every confirmed swing low is mapped as a buy-side liquidity pool (labeled "BUY LIQ"). These represent areas where retail stop-loss orders cluster — and where institutions will eventually hunt. Swing detection uses an oscillator-based method with a configurable length (default 10 bars). Pools are tracked in arrays and automatically cleaned up when the maximum pool count is reached (default 20), with the oldest pools removed first. Each pool level extends to the right as a dashed line until it is swept. The visual effect is a map of all unswept liquidity levels above and below price — the "phantom" architecture that drives institutional decision-making. Feature 2: Phantom Sweep Detector When price wicks through a liquidity pool level and closes back on the other side, it is a phantom sweep — institutional stop hunting in action. The indicator detects these events with two confirmation filters: Wick Threshold: The wick beyond the pool level must exceed a configurable ATR multiple (default 0.5x ATR). This ensures the sweep was significant, not just a tiny wick touching the level. Cooldown: After a sweep signal fires, no new sweep can fire for a configurable number of bars (default 15). This prevents signal stacking on the same event. When a sweep is confirmed: The swept pool's dashed line and label are removed from the chart A colored sweep box is drawn around the sweep candle A "PHANTOM SWEEP" label appears with the swept price level The sweep is counted in the dashboard (total bull sweeps / bear sweeps) Bullish sweeps (price wicks below a buy-side pool and closes above) are colored in amber-orange. Bearish sweeps (price wicks above a sell-side pool and closes below) are colored in ember-red. Feature 3: Liquidity Void Mapper A liquidity void occurs when price makes a large single-candle move (body exceeding a configurable ATR multiple, default 1.5x) — the market "teleported" through a range without meaningful trading. These voids represent areas of inefficient price delivery that the market tends to revisit. Voids are drawn as ghost boxes with dotted borders in a deep indigo color. The indicator tracks whether each void has been filled (price has returned to trade through the void range). Filled voids change color to a teal shade, providing a visual record of which voids have been revisited and which remain open. The dashboard tracks total void count and fill count, giving a void fill rate that indicates whether the market is efficiently filling its delivery gaps or leaving them open (a sign of strong trending). Feature 4: Gravity Index The Gravity Index measures how strongly price is being "pulled" toward nearby liquidity pools. It calculates an inverse-distance-weighted sum of all pools within 5 ATR of current price. The closer and more numerous the pools, the higher the gravity score. EXTREME (7+): Price is very close to multiple pools — high probability of a sweep or significant reaction HIGH (4-7): Several pools nearby — increased likelihood of liquidity-driven moves MODERATE (2-4): Some pools in the vicinity — normal conditions LOW (0-2): Few pools nearby — price is in clean territory The gravity score is displayed as a subtle background color that intensifies as gravity increases, creating a visual "heat map" of liquidity density around price. Feature 5: Absorption Pulse Absorption occurs when large volume meets a liquidity pool but price barely moves — the classic sign of passive institutional orders absorbing aggressive flow. The indicator detects absorption using three simultaneous conditions: Volume exceeds the configurable threshold (default 1.8x the 20-bar average) The candle body is small relative to the full range (wick ratio below 35%) Price is near a liquidity pool (within 1.5 ATR) When all three conditions align, an absorption label appears ("BUY ABSORB" or "SELL ABSORB") with the volume multiple. These are among the most valuable signals the indicator produces — they reveal the "invisible hand" of institutional passive orders that cannot be seen on a standard chart. Feature 6: Exhaustion Spectra Multi-factor exhaustion detection at price extremes. The indicator scores four exhaustion factors independently: Price extended beyond Bollinger Bands (overextension) Volume climax (exceeding 2x average) RSI at extreme levels (above 75 or below 25) Proximity to a liquidity pool in the direction of the move When three or more factors align (3/4 or 4/4), an "EXHAUSTION" label appears with the factor count. These are rare, high-conviction reversal signals that mark the point where institutional displacement has peaked and multiple independent measures confirm the extreme. Feature 7: Liquidity Density Candles Candles are colored based on how many liquidity pools exist within 5 ATR of current price. More pools nearby produce brighter, more vibrant ultraviolet candles. Fewer pools produce darker, slate-colored candles. This creates a unique heatmap effect that shows liquidity-rich zones (bright) versus liquidity-dry zones (dark) at a glance. The coloring uses color.from_gradient() mapped to the gravity score, with separate palettes for bullish and bearish candles. Feature 8: Phantom Drift Lines The indicator projects where liquidity is "migrating" by calculating the average price of recent high pools and low pools, then drawing a line at the midpoint — the liquidity gravity center. This drift line shows the central tendency of where institutional interest is concentrated and how it shifts over time. 12-Row Dashboard Row 1: Gravity Index score and classification Row 2: Nearest pool direction and distance in ATR Row 3: Active pool count (high pools + low pools) Row 4: Last sweep direction and bars ago Row 5: Total sweeps (bull + bear counts) Row 6: Void count and fill rate Row 7: Absorption pulse count Row 8: Exhaustion count Row 9: Nearby pool density (pools within 5 ATR) Row 10: Current candle volume ratio Row 11: RSI value for exhaustion context Row 12: Drift line position Input Parameters Liquidity Engine: Swing Detection Length (default 10) — sensitivity of pool detection Max Liquidity Pools (default 20) — how many pools to track simultaneously Sweep Wick Threshold (default 0.5 ATR) — minimum wick size for sweep confirmation Absorption Volume Threshold (default 1.8x) — minimum volume for absorption detection Void Min Size (default 1.5 ATR) — minimum candle body for void detection Features: Toggles for Liquidity Pool Levels, Phantom Sweep Signals, Liquidity Void Boxes, Absorption Pulse Labels, Exhaustion Spectra, Liquidity Density Candles, Phantom Drift Lines Signal Cooldown (default 15 bars) How to Use This Indicator Step 1: Map the Liquidity Landscape Identify where unswept pools sit above and below price. These are the targets that institutions will eventually hunt. Step 2: Watch for Phantom Sweeps When a pool gets swept (wick through + close back), the stop hunt is complete. The sweep direction often signals the true institutional intent — a bearish sweep of highs followed by a close below often precedes a downward move. Step 3: Monitor Gravity High gravity (multiple pools nearby) means price is in a liquidity-rich zone where reactions are likely. Low gravity means price is in clean territory where trends can extend. Step 4: Identify Absorption Absorption pulses near liquidity pools are among the strongest signals. High volume + small body + near a pool = passive institutional orders absorbing the flow. The direction of the absorption candle hints at which side the institution is on. Step 5: Respect Exhaustion When 3+ exhaustion factors align, the current move is overextended by multiple independent measures. These are high-conviction reversal zones — not guaranteed reversals, but areas where the probability of a pullback is elevated. Step 6: Use Voids as Targets Unfilled voids act as magnets. When price is trending toward an open void, expect it to fill. The void fill rate in the dashboard tells you whether the market is efficiently filling gaps or leaving them open. Limitations Liquidity pool detection is based on swing highs and lows, which are lagging by the swing detection length. Pools appear after the swing is confirmed, not in real-time. Not all swing highs/lows have significant stop-loss orders above/below them. The indicator maps potential liquidity based on structure, not actual order book data. Absorption detection uses volume and body ratio as proxies for passive institutional orders. True absorption can only be confirmed with Level 2 order book data, which is not available in Pine Script. Exhaustion signals are intentionally rare (require 3+ factors). In fast-moving markets, exhaustion may not fire before a reversal occurs. Volume data quality varies by instrument. Forex tick volume approximates but does not equal true institutional volume. Phantom sweeps can be false signals — sometimes price sweeps a level and continues in the sweep direction rather than reversing. The indicator maps historical and current liquidity dynamics. It does not predict which pool will be swept next or when. Originality Statement This indicator is original in its comprehensive liquidity-centric approach to market analysis. While swing detection and basic sweep concepts exist in other scripts, this indicator is justified because: It treats liquidity pools as tracked entities with full lifecycle management (creation at swing detection, extension as dashed levels, removal on sweep, with array-based cleanup) The Phantom Sweep Detector uses dual filtering (ATR wick threshold + cooldown) for precision that basic "price crossed level" detection lacks The Liquidity Void Mapper tracks gaps in price delivery with fill monitoring — a concept distinct from Fair Value Gaps, focused on single-candle delivery failures The Gravity Index provides a quantitative measure of liquidity pull that no standard indicator offers — inverse-distance-weighted scoring of all nearby pools Absorption Pulse detection combines volume analysis, body ratio, and pool proximity to identify passive institutional orders — a multi-factor approach not available in standard volume indicators Exhaustion Spectra uses four independent factors (BB extension, volume climax, RSI extreme, pool proximity) for high-conviction reversal detection Liquidity Density Candles create a unique heatmap visualization based on pool concentration rather than any price-based metric The combination of pool tracking, sweep detection, void mapping, gravity scoring, absorption detection, exhaustion spectra, density candles, and drift lines creates a unified liquidity analysis system not available in any single existing indicator 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. Trading involves substantial risk of loss and is not suitable for all investors. Liquidity analysis reveals where stop orders likely cluster based on market structure. It does not access actual order book data and cannot confirm the presence or absence of real orders at any level. Sweep signals, absorption pulses, and exhaustion markers are probabilistic observations, not certainties. Always use proper risk management. Never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades

by officialjackofalltrades

Vortex Liquidation Reaper [JOAT]Vortex Liquidation Reaper Introduction The Vortex Liquidation Reaper is an advanced open-source liquidity detection system that identifies institutional liquidity sweeps, equal highs/lows, volume imbalances, and cascade events. This indicator reveals where retail stop losses cluster and how institutions hunt that liquidity to fill their orders, providing traders with a systematic approach to understanding market manipulation and liquidity engineering. Unlike basic support/resistance indicators, the Vortex Liquidation Reaper provides institutional-grade liquidity analysis through pivot detection, equal level identification, volume profiling, sweep tracking, and cascade detection. The indicator is designed for traders who understand that institutions move markets by systematically hunting liquidity pools where retail traders place their stops. Why This Indicator Exists This indicator addresses the critical need for liquidity analysis in modern trading. By combining liquidity level detection with volume profiling and sweep tracking, it reveals: Buy Side Liquidity (BSL): Pivot highs where long stop losses cluster above current price Sell Side Liquidity (SSL): Pivot lows where short stop losses cluster below current price Equal Highs/Lows: Multiple pivots at similar levels indicating concentrated liquidity Liquidity Sweeps: When price moves through liquidity levels to trigger stops Volume Confirmation: Volume surge detection confirms institutional participation Cascade Events: Multiple sweeps with high volume indicating forced liquidations Liquidity Voids: Gaps between liquidity levels where price may move quickly Core Components Explained 1. Liquidity Level Detection Liquidity levels are identified at pivot highs and lows using swing analysis: Pivot Detection: Uses left and right bars (default 10) to identify swing points Buy Side Liquidity: Pivot highs represent areas where long traders place stops above Sell Side Liquidity: Pivot lows represent areas where short traders place stops below Volume Tracking: Each liquidity level stores the volume at the pivot formation The indicator maintains arrays of active liquidity levels, tracking up to the maximum specified (default 5 BSL and 5 SSL levels). 2. Equal Level Detection Equal highs and lows are identified by comparing new pivots with existing liquidity levels: Threshold Calculation: Two levels are considered equal if within threshold percentage (default 0.3%) Equal Highs (EQH): Multiple pivot highs at similar prices indicate strong resistance and concentrated liquidity Equal Lows (EQL): Multiple pivot lows at similar prices indicate strong support and concentrated liquidity Visual Distinction: Equal levels are displayed in gold color to highlight their importance Equal levels are particularly significant because they represent areas where multiple waves of traders have placed stops, creating dense liquidity pools that institutions target. 3. Volume Profiling The indicator analyzes volume at each liquidity level and compares it to average volume: Average Volume: Calculated over lookback period (default 45 bars) Volume Surge: Detected when current volume exceeds average by multiplier (default 2.25x) Volume Percentage: Shows how much above/below average the pivot volume was Volume Labels: Display actual volume and percentage on liquidity level labels High volume at pivot formation suggests institutional interest. Volume surges during sweeps confirm institutional participation in the liquidity hunt. 4. Liquidity Sweep Detection Sweeps occur when price moves through a liquidity level, triggering stops: Wick Mitigation: Sweep confirmed when wick touches the level Close Mitigation: Sweep confirmed when close passes through the level Sweep Tracking: Swept levels are marked with dotted lines and "SWEPT" labels Reversal Potential: Sweeps often precede reversals as institutions fill orders The indicator tracks which levels have been swept and can optionally hide mitigated levels to keep charts clean. 5. Cascade Detection Cascades occur when multiple liquidity sweeps happen in quick succession with high volume: Cascade Counter: Tracks how many times a level has been swept Volume Confirmation: Requires volume surge for cascade classification Cascade Threshold: Two or more sweeps with volume surges trigger cascade status Visual Indication: Cascade zones displayed in magenta with "CASCADE" labels Cascades indicate forced liquidations where stop losses trigger more stop losses, creating chain reactions that institutions exploit. 6. Liquidity Void Detection The indicator identifies gaps between liquidity levels where price may move quickly: Void Calculation: Measures distance between nearest BSL and SSL Void Threshold: Gaps exceeding 2% of price are classified as liquidity voids Visual Display: Voids shown as magenta boxes with percentage labels Trading Implication: Price often moves quickly through voids due to lack of liquidity Liquidity voids represent areas where few stops exist, allowing price to move rapidly with minimal resistance. 7. Liquidity Strength Levels The indicator identifies the strongest liquidity concentrations: Highest BSL: The highest buy side liquidity level represents strongest overhead resistance Lowest SSL: The lowest sell side liquidity level represents strongest support Strength Lines: Dashed lines extend from these levels showing key liquidity zones Labels: "STRONG BSL" and "STRONG SSL" labels mark these critical levels Strong liquidity levels are prime targets for institutional liquidity hunts. 8. Volume Imbalance Detection The indicator tracks extreme volume spikes that indicate institutional activity: Imbalance Calculation: Current volume compared to average volume Spike Threshold: Imbalances exceeding 100% (2x average) are flagged Visual Labels: "VOL SPIKE" labels show percentage above average Institutional Footprint: Extreme volume often accompanies institutional order flow Volume imbalances at liquidity levels confirm institutional participation in the sweep. Visual Elements Liquidity Level Boxes: Colored boxes extending from pivot time showing BSL (green), SSL (red), EQH/EQL (gold), and cascades (magenta) Liquidity Lines: Horizontal lines at each level with thickness indicating importance (equal levels = thicker) Projection Lines: Dashed extensions showing where liquidity levels project into the future Volume Labels: Display volume amount and percentage above/below average Sweep Indicators: Small "SWEEP" labels mark when levels are taken out Cascade Labels: "CASCADE" text on levels that have been swept multiple times Void Boxes: Magenta boxes showing liquidity voids with percentage labels Strength Lines: Dashed lines marking strongest BSL and SSL levels Information Dashboard: Displays active BSL/SSL count, equal highs/lows, cascades, volume status, swept counts, and trading bias How to Use This Indicator Step 1: Identify Active Liquidity Levels Check the dashboard for active BSL and SSL counts. More levels indicate more potential targets for institutional sweeps. Step 2: Look for Equal Highs/Lows Equal levels (gold color) represent concentrated liquidity. These are prime targets for institutional liquidity hunts. Step 3: Monitor Volume at Levels High volume at pivot formation suggests institutional interest. Volume surges during sweeps confirm institutional participation. Step 4: Watch for Liquidity Sweeps When price sweeps a level (especially equal levels), watch for reversal. Institutions often reverse price after filling orders. Step 5: Identify Cascade Events Cascades (multiple sweeps with volume) indicate forced liquidations. These often mark exhaustion points and reversals. Step 6: Check for Liquidity Voids Large gaps between BSL and SSL indicate voids where price may move quickly. Avoid entering in voids. Step 7: Use Trading Bias Dashboard shows bias based on liquidity balance. More active BSL = long bias, more active SSL = short bias. Best Practices Wait for liquidity sweeps before entering - don't front-run the sweep Equal highs/lows are highest probability sweep targets Volume confirmation is critical - sweeps without volume may fail Cascades often mark exhaustion - look for reversals after cascades Avoid trading in liquidity voids - wait for price to reach liquidity Use higher timeframe liquidity levels for stronger significance Combine with order blocks and FVGs for highest probability setups Be patient - institutions may sweep multiple levels before reversing Input Parameters Liquidity Detection: Pivot Length: Swing detection period (default: 10) Equal Level Threshold: Percentage for equal level detection (default: 0.3%) Max Buy Side Levels: Maximum BSL to display (default: 5) Max Sell Side Levels: Maximum SSL to display (default: 5) Volume Profiling: Volume Surge Multiplier: Threshold for volume surges (default: 2.25x) Volume Lookback: Period for average volume (default: 45) Show Volume Profile: Toggle volume display (default: enabled) Mitigation Rules: Mitigation Method: Wick or Close (default: Wick) Show Mitigated Levels: Toggle swept level display (default: disabled) Cascade Detection: Enable cascade tracking (default: enabled) Visual Configuration: Buy/Sell Liquidity Colors: Customizable BSL and SSL colors Equal Level Color: Color for EQH/EQL (default: gold) Cascade Color: Color for cascade zones (default: magenta) Box Width: Width of liquidity boxes (default: -5.0) Extension Length: How far to extend levels (default: 20) Show Projections: Toggle projection lines (default: enabled) Show Sweep Signals: Toggle sweep labels (default: enabled) Originality Statement This indicator is original in its comprehensive liquidity analysis approach. While liquidity concepts are established trading principles, this indicator is justified because: It combines liquidity detection with equal level identification and volume profiling The cascade detection system identifies forced liquidation events Liquidity void detection reveals areas where price may move quickly Volume imbalance tracking confirms institutional participation Liquidity strength levels identify the most significant zones The comprehensive dashboard presents all liquidity metrics simultaneously Integration of multiple liquidity concepts creates a complete liquidity analysis system Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Liquidity analysis does not guarantee profitable trades. Liquidity sweeps do not guarantee reversals. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by officialjackofalltrades

by officialjackofalltrades

eBacktesting - Learning: Buy/Sell-side Liquidity eBacktesting - Learning: Buy/Sell-side Liquidity Buy-side and sell-side liquidity are some of the most important “magnets” in day trading. When price forms obvious swing highs and swing lows, stop-loss orders often build up just above those highs (buy-side liquidity) and just below those lows (sell-side liquidity). Markets frequently move into these areas to “take” that liquidity before making the next meaningful move. This indicator helps you spot those potential liquidity pools and highlights when price reaches them. Use it to study: - where stops are likely resting above highs / below lows - how often price sweeps those areas before reversing - how liquidity runs can trigger the next expansion or trend continuation These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance. Educational use only. Not financial advice.

by eBacktesting

Liquidity Void Detector (Zeiierman)█ Overview Liquidity Void Detector (Zeiierman) is an oscillator highlighting inefficient price displacements under low participation. It measures the most recent price move (standardized return) and amplifies it only when volume is below its own trend. Positive readings ⇒ strong up-move on low volume → potential Buy-Side Imbalance (void below) that often refills. Negative readings ⇒ strong down-move on low volume → potential Sell-Side Imbalance (void above) that often refills. This tool provides a quantitative “void” proxy: when price travels far with unusually thin volume, the move is flagged as likely inefficient and prone to mean-reversion/mitigation. █ How It Works ⚪ Volume Shock (Participation Filter) Each bar, volume is compared to a rolling baseline. This is then z-scored. // Volume Shock calculation volTrend = ta.sma(volume, L) vs = (volume > 0 and volTrend > 0) ? math.log(volume) - math.log(volTrend) : na vsZ = zScore(vs, vzLen) // z-scored volume shock lowVS = (vsZ <= vzThr) // low-volume condition Bars with VolShock Z ≤ threshold are treated as low-volume (thin). ⚪ Prior Return Extremeness The 1-bar log return is computed and z-scored. // Prior return extremeness r1 = math.log(close / close ) retZ = zScore(r1, rLen) // z-scored prior return This shows whether the latest move is unusually large relative to recent history. ⚪ Void Oscillator The oscillator is: // Oscillator construction weight = lowVS ? 1.0 : fadeNoLow osc = retZ * weight where Weight = 1 when volume is low, otherwise fades toward a user-set factor (0–1). Osc > 0: up-move emphasized under low volume ⇒ Buy-Side Imbalance. Osc < 0: down-move emphasized under low volume ⇒ Sell-Side Imbalance. █ Why Use It ⚪ Targets Inefficient Moves By filtering for low participation, the oscillator focuses on moves most likely driven by thin books/noise trading, which are statistically more likely to retrace. ⚪ Simple, Robust Logic No need for tick data or order-book depth. It derives a practical void proxy from OHLCV, making it portable across assets and timeframes. ⚪ Complements Price-Action Tools Use alongside FVG/imbalance zones, key levels, and volume profile to prioritize voids that carry the highest reversal probability. █ How to Use Sell-Side Imbalance = aggressive sell move (price goes down on low volume) → expect price to move up to fill it. Buy-Side Imbalance = aggressive buy move (price goes up on low volume) → expect price to move down to fill it. █ Settings Volume Baseline Length — Bars for the volume trend used in VolShock. Larger = smoother baseline, fewer low-volume flags. Vol Shock Z-Score Lookback — Bars to standardize VolShock; larger = smoother, fewer extremes. Low-Volume Threshold (VolShock Z ≤) — Defines “thin participation.” Typical: −0.5 to −1.0. Return Z-Score Lookback — Bars to standardize the 1-bar log return; larger = smoother “extremeness” measure. Fade When Volume Not Low (0–1) — Weight applied when volume is not low. 0.00 = ignore non-low-volume bars entirely. 1.00 = treat volume condition as irrelevant (pure return extremeness). Upper Threshold (Osc ≥) — Trigger for Sell-Side Imbalance (void below). Lower Threshold (Osc ≤) — Trigger for Buy-Side Imbalance (void above). ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.

by Zeiierman