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EdgeXplorer - Smart Candle Patterns + Swings EdgeXplorer – Smart Candle Patterns & Swings Smart Candle Patterns & Swings by EdgeXplorer is a dual-function visual analysis tool that intelligently detects major swing points and overlays them with recognized candle reversal patterns. This tool brings together classical candlestick analysis and market structure theory, helping traders identify high-probability zones where price action may shift. The script not only marks swing highs/lows as HH, LH, HL, or LL, but also labels key candlestick patterns—from Hammers to Engulfings to Three Black Crows—providing real-time context for possible trend continuation or reversal setups. ⸻ 🔍 What Does This Tool Do? This indicator performs two primary functions: 1. Swing Structure Labeling – Marks each new pivot as a higher high (HH), lower high (LH), higher low (HL), or lower low (LL) 2. Smart Candle Pattern Detection – Identifies 14 of the most widely studied candlestick reversal patterns and displays them alongside the swing label It’s a lightweight, unobtrusive way to bring structure and pattern recognition to your chart—no repainting, no noise, and no signal promises. ⸻ ⚙️ How It Works – Technical Breakdown 1. Swing Highs and Lows • The script uses a pivot detection window (Pivot Length) to find local swing highs and lows • When a new pivot forms: • It is classified as one of: • HH – Higher High • LH – Lower High • HL – Higher Low • LL – Lower Low • These swing points act as visual guides for traders tracking structure 2. Candlestick Pattern Logic At each confirmed pivot, the script evaluates the candle and its neighbors for a match from a built-in library of 14 classical reversal patterns: Pattern Description Hammer Small body, long lower wick – bullish signal after a downtrend Inverted Hammer Long upper wick, signals failed bearish push Bullish Engulfing Green candle fully engulfs red one Bearish Engulfing Red candle fully engulfs green one Hanging Man Long lower wick after uptrend, often bearish Shooting Star Long upper wick after uptrend, bearish signal Doji Small or zero body, signals indecision Morning Star Three-candle bullish reversal pattern Evening Star Three-candle bearish reversal pattern Spinning Top Small body with upper/lower wicks, signals indecision Bullish Marubozu Large green candle with no wicks Bearish Marubozu Large red candle with no wicks Three White Soldiers Three large bullish candles in a row Three Black Crows Three large bearish candles in a row Each pattern is detected using precise criteria based on body size, wick ratios, and relative position to previous candles. ⸻ 📈 What You See on the Chart Visual Meaning Swing Label (e.g., HH, LL) Identifies structural pivot and its type Pattern Name (e.g., Doji, Bullish Engulfing) Displayed alongside swing label if pattern is detected Label Tooltip Shows a short description of the pattern’s meaning Color • Swing High = red (customizable) • Swing Low = green (customizable) ⸻ 📊 Inputs & Customization Input Description Pivot Length Number of bars to the left/right used to confirm swing highs/lows Swing High Label Color Customize color of HH/LH labels Swing Low Label Color Customize color of HL/LL labels All labels are plotted using small visual markers to avoid cluttering the chart. ⸻ 🧠 How to Interpret It in Live Markets This indicator provides context, not confirmation. Use it to: • Validate your manual swing structure tracking with automatic HH/LL labels • Identify when a key candle pattern forms at a major swing (e.g., Shooting Star at a HH) • Spot potential reversal zones or breakout failures • Add confluence to Smart Money Concepts, price action setups, or other technical strategies Example: • A new LL forms with a Hammer → Potential reversal from bearish exhaustion • A HH forms with a Shooting Star → Possible trap or overextension ⸻ 🧪 Use Case Ideas • 🔄 Reversal Confirmation – Combine swing structure with pattern match for early reversal entries • 🧭 Structure Validation – Let the HH/LL labels validate your trend bias • 📉 Exhaustion Signals – Watch for Doji/Spinning Top patterns at mature moves • ⚠️ Avoid Choppy Conditions – Use absence of patterns to avoid entering low-conviction zones This tool works across all asset classes: crypto, forex, stocks, indices, and even futures.

EdgeXplorer - Profit Bottoms EdgeXplorer – Profit Bottoms ⸻ 🔍 What This Indicator Does Profit Bottoms is a custom momentum oscillator designed to reveal price strength inflections through correlation logic. It identifies potential market exhaustion zones, highlights overbought/oversold conditions, and visually marks swing tops and bottoms — helping traders pinpoint profit-taking opportunities or early reversals across any asset or timeframe. It features a flexible histogram view, color-coded background trends, and precision labels for clearer insight into market sentiment momentum shifts. ⸻ ⚙️ How It Works At the core of this indicator is a correlation function: • It measures how strongly the price (close) correlates with bar index progression over a lookback window — essentially evaluating how directional recent price action has been. • This results in a “strength index” ranging between +1 (strong uptrend) and -1 (strong downtrend). • It tracks the slope of this index to infer trend direction and visually represent shifts. From there, the indicator layers on: • Dynamic overbought/oversold zones (±0.9) • Swing high/low detection based on local peaks and troughs • Trend background shading based on momentum slope • Optional histogram and fill display styles ⸻ 📈 Visual Components Explained Element Meaning 🔮 Pulse Strength Line (purple line) Primary oscillator showing strength of directional movement 🌈 Colored Fill Fills above/below baseline to represent bullish/bearish intensity 🟢 Green Background Slope of strength index is rising (trend gaining) 🔴 Red Background Slope of strength index is falling (trend weakening) 🔼 ↑ Label Price is entering extreme overbought territory 🔽 ↓ Label Price is entering extreme oversold territory 🟠 Circle Markers Swing Top (Teal) or Swing Bottom (Orange) 📊 Histogram / Line Style Alternate visualizations of the oscillator based on user preference ⸻ 📊 Input Settings Explained Setting Description Window Size Lookback period for correlation calculation Bull Fill / Bear Fill Gradient colors for up/down momentum Mark Tops/Bottoms Enables visual detection of swing highs/lows Highlight Overbought/Oversold Displays zone entry markers (↑/↓) near extremes Show Pulse Histogram Adds either histogram or line view Histogram Style Choose between histogram bars, a thin line, or hide the visual entirely ⸻ 🧠 How to Interpret in Different Market Conditions Condition Interpretation Strength Index near +1 Strong upward correlation — trend likely maturing or overbought Strength Index near -1 Strong downward correlation — trend possibly exhausted or oversold Cross below 0 Momentum shift from bullish to bearish Cross above 0 Momentum shift from bearish to bullish Swing Top Detected Potential short-term exhaustion — profit zone for longs Swing Bottom Detected Early reversal zone or buying opportunity The colored background makes it easy to visually segment the chart by trend environment, while the swing markers and zone labels add precision entry/exit timing cues. ⸻ 🧪 Use Cases & Strategy Tips • Scalpers & intraday traders: Use swing tops/bottoms with zone labels for tight entries. • Swing traders: Watch for strength fading as a warning sign to exit positions. • Divergence Spotting: Compare price action to the oscillator for hidden signals. • Momentum Riders: Use histogram mode with background coloring to stay in trend longer. For example: If you see a swing bottom occur just below the -0.9 zone, paired with a background color flip from red to green — that’s a high-probability setup for reversion or breakout. ⸻ 🧷 Alerts Included This indicator provides built-in alerts for key conditions: • EPS+ Top Detected → Swing Top • EPS+ Bottom Detected → Swing Bottom • EPS+ Overbought Zone → Strength Index > 1 • EPS+ Oversold Zone → Strength Index < -1 These can be used in alert-based automation or simply for manual signal confirmation.

EdgeXplorer - Dynamic Price Action EdgeXplorer – Dynamic Price Action Dynamic Price Action by EdgeXplorer is a high-precision structural framework that detects and maps market structure shifts, liquidity zones, and sweep events in real time. Built for traders who prioritize price behavior over indicators, this suite intelligently interprets swing pivots, volatility ranges, and institutional footprints to surface key decision-making zones on your chart. Whether you trade Smart Money Concepts (SMC), classical price action, or hybrid strategies, Dynamic Price Action helps you visualize where price is reacting, where it’s hunting stops, and when structure is shifting — without the noise. ⸻ 🔍 What Does Dynamic Price Action Do? This indicator tracks three core elements: 1. Market Structure Shifts – Bullish and bearish swing breaks (BOS and MSS) 2. Liquidity Zones – Dynamic detection of potential buy-side and sell-side liquidity pools 3. Sweep Events – Real-time detection when liquidity is taken out (aka stop hunts or raids) It also contains logic for Order Block detection, giving you a foundational structure for further Smart Money analysis (note: OB visuals are currently off by default but fully supported). ⸻ ⚙️ How It Works – Technical Breakdown 1. Market Structure (BOS / MSS) • Detects swing highs and lows using a 3-bar pivot system • When a valid swing is confirmed: • A BOS (Break of Structure) line is drawn for bullish shifts • An MSS (Market Structure Shift) line is drawn for bearish transitions • Lines are plotted with customizable styles and optional labels 2. Liquidity Detection • Liquidity zones are marked based on: • Recent confirmed swing highs or lows • ATR-based range check (swing must exceed Liquidity Sensitivity threshold) • Post-swing candle direction (bullish or bearish close) • Sell-Side Liquidity = swing highs likely containing stop clusters • Buy-Side Liquidity = swing lows likely containing stop clusters • Each zone is tagged visually and stored for later sweep checks 3. Sweep Recognition • If price breaches a previously tagged liquidity level: • A “Sell Sweep” label appears above the former sell-side zone • A “Buy Sweep” label appears below the former buy-side zone • Zones are removed after being swept to reduce clutter 4. Order Block Logic (Optional) • The script includes full logic to detect bullish/bearish order blocks based on: • Body-based or wick-based structure (user preference) • Candle volume criteria • Visuals are turned off for now but can be easily re-enabled ⸻ 📈 What You See on the Chart Visual Element Meaning Green BOS Line Bullish break of market structure (higher high) Red MSS Line Bearish shift in structure (lower low) “Sellside Liquidity” Label Area above a swing high likely to hold resting liquidity “Buyside Liquidity” Label Area below a swing low likely to hold resting liquidity “Sell Sweep” Label A stop hunt above a prior high “Buy Sweep” Label A stop hunt below a prior low All elements are dynamically drawn, adapting to price behavior with zero repainting. ⸻ 📊 Inputs & Settings Explained Market Structures Setting Description Enable Market Structures Toggle BOS/MSS logic Detection Mode Conceptual filter: Short-Term, Mid-Term, Long-Term (doesn’t affect logic) Show Labels Display BOS and MSS labels above/below structure Line Style Choose between Solid, Dashed, or Dotted Bullish/Bearish Colors Customize line and label appearance Liquidity Zones Setting Description Liquidity Sensitivity How large a swing must be (ATR multiplier) to qualify as a liquidity point Order Blocks Setting Description Use Candle Body If true, OB zones are based on open/close instead of high/low ⸻ 🧠 How Traders Can Interpret Dynamic Price Action Structure-Based Bias: • BOS = bullish structure continuing → look for long setups • MSS = bearish structure breaking down → caution for reversals Liquidity Zones: • Price nearing a Sellside Liquidity zone? Watch for sweep + rejection • Price tapping Buyside Liquidity? Look for absorption or reversal Sweep Events: • A Buy Sweep can signal accumulation • A Sell Sweep can mark distribution or a trap breakout Use sweeps as confirmation, trap detection, or entry filters. ⸻ 🧪 Strategy Use Cases • 🔍 Smart Money Concepts (SMC): Combine BOS/MSS + sweeps for refined CHoCH entries • 🔄 Reversal Traders: Wait for sweep + structure shift before entering against prior trend • 📉 Trend Continuation: Use BOS + liquidity clears to confirm direction • 🎯 Scalping: Sweep zones act as high-probability entry areas on LTFs

EdgeXplorer - Sessions Roulette 🕰️ EdgeXplorer – Sessions Roulette ⸻ 🔍 What This Indicator Does Sessions Roulette is a highly customizable tool that visualizes the four primary global trading sessions — New York, London, Tokyo, and Sydney — directly on your chart. It not only highlights each session’s time window with color-coded boxes, but also tracks key session-level data like: • Highs and lows • Average (mean) price • (Optional) VWAP line (toggle included for future use) This tool is purpose-built for traders who rely on time-based volatility patterns, session transitions, and liquidity windows. ⸻ ⚙️ How It Works (Technical Breakdown in Plain English) This indicator checks — for each trading session — whether the current bar falls within the defined session time range. If it does: 1. A colored box is drawn from session open to close 2. High/Low levels for that session are tracked dynamically 3. The session’s mean price is calculated incrementally as new bars come in 4. Session labels are rendered as text (optional) 5. Once the session ends, the data locks and resets on the next session start The timezone can be defined manually via UTC offset or aligned with the chart’s exchange timezone using a toggle. ⸻ 📈 Visual Components Explained Each session (NY, LDN, TYO, SYD) has its own: • Colored Box Range: This fills the background of the session with a semi-transparent box. • Session Label: A tag that names the session. • Mean Line: Tracks average price during the session (toggle). • High/Low Plots: Draw horizontal lines showing session high and low prices (toggle). • VWAP Line: Placeholder toggle exists — functionality is not yet implemented. • Box Outline: Optional stroke around each session box. ⸻ 📊 Input Settings & Customization 🔧 General Settings: • Timezone Offset (UTC ±): Manually adjust sessions to your preferred UTC offset. • Use Chart Exchange Timezone: Toggle to override the offset and align sessions to the chart’s market timezone. 🎯 Per-Session Settings: For each of the four sessions, you can configure: Option Description Enable Session Toggles the session on or off Session Label Custom text for labeling Time Window Start and end time for session Color Box and line color Highlight Range Whether to draw the background box Trend Line (Reserved for future) Average Line Shows running mean of price during session VWAP Line (Toggle available; VWAP logic not yet implemented) High/Low Lines Horizontal lines at the session high/low 🧪 Display Options: • Range Fill Opacity: Controls transparency of the session box. • Draw Range Outline: Adds a border to the session box. • Session Label: Toggles visibility of the session name label. ⸻ 🧠 How Traders Can Interpret It Session tools are most powerful when: • You trade session-to-session behaviors (e.g., NY open reaction to LDN range) • You study liquidity zones or order flow around session highs/lows • You want to anchor technical setups to session timing • You analyze volatility compression/expansion across global markets Each session often brings different behaviors: Session Use Insight Tokyo Often range-bound, ideal for pre-positioning London Brings first significant volatility New York Tends to expand volatility or reverse trends Sydney Quietest — good for range analysis or preparing for Asia open ⸻ 🧪 Use Cases & Strategy Integration • Breakout Traders: Set alerts when price breaks previous session highs/lows. • Scalpers: Time entries based on opening ranges. • Algo Developers: Use plotted session bounds as logic for entry/exit filters. • Liquidity Tracking: Identify common sweep behavior before/after session shifts.

EdgeXplorer - Battle of the Bulls EdgeXplorer – Battle of the Bulls Momentum isn’t a mystery. It’s a battle. And this tool shows you who’s winning. Battle of the Bulls is a momentum visualizer built for traders who want to track the tug-of-war between bullish and bearish pressure — in real time. It blends raw market energy with simple visuals to help you interpret power shifts, confirm trends, or anticipate reversals. ⸻ 🔍 What It Tracks: At its core, this tool calculates two things on every candle: • Bull Power = High − EMA • Bear Power = Low − EMA These two values are added together to create a net momentum reading — giving you a unique view of pressure on both ends of the candle. The more aggressively price moves above or below the EMA, the stronger the histogram prints in that direction. This approach allows you to see not just price movement, but the intensity behind it. ⸻ 📊 Visual Breakdown: • Momentum Histogram: Colored bars show bullish vs. bearish pressure: • Green bars = bullish net pressure (momentum > 0) • Red bars = bearish net pressure (momentum < 0) • Zero Line: This baseline acts as a key decision zone. Crosses above zero often signal increasing bullish pressure, while crosses below zero can flag incoming bearish strength. • Raw Momentum Line (optional): Toggle this ON if you prefer to see a smoother visual of momentum shifts layered over the histogram. It’s helpful for those who like cleaner entries based on slope or curve behavior. • Background Tinting: To keep the screen minimal yet informative, a light red or green background tint reflects the prevailing momentum bias without being visually overwhelming. ⸻ 🧠 How to Use It: 1. Confirming Trend Strength: Use the histogram to validate whether a move is driven by real strength or just noise. A strong uptrend with fading green bars? Momentum might be weakening. Choppy range but rising bars? Breakout may be brewing. 2. Spotting Momentum Shifts Early: The zero line crossover can be used as an early signal for trend reversals or new legs forming. Pair with your existing structure or pattern analysis for high-conviction entries. 3. Filtering False Breakouts: Sometimes price breaks a level but momentum doesn’t support it — Battle of the Bulls can help you avoid those traps. If the histogram is neutral or fading while price breaks out, caution may be warranted. 4. Scalping Short-Term Swings: Scalpers can track short bursts of power, riding histogram pulses in one direction. Set the EMA lookback lower (e.g. 5–8) for ultra-sensitive setups, or go higher (20+) for smoother confirmation. ⸻ ⚙️ Customizable Inputs: • Lookback Length – Controls the EMA length used in calculating momentum. • Lower = more sensitive. • Higher = more stable. • Color Inputs – Change bullish and bearish histogram colors to fit your theme. • Raw Line Option – Toggle for smoother, minimal overlay of momentum data. ⸻ 🔔 Built-In Alerts: We’ve added alert conditions for both: • Bullish Cross (Momentum > 0) • Bearish Cross (Momentum < 0) So whether you want to automate notifications for scalping, swing confirmations, or divergence watching, this script has you covered. ⸻ 🔚 Final Notes: This script is minimal by design — no clutter, no distractions — just the heartbeat of market pressure visualized in a way you can actually trade. Whether you’re using it for confluence, confirmation, or clean pulse reads, Battle of the Bulls gives you insight without overcomplication.

EdgeXplorer - Gaussian Forecast Grid EdgeXplorer – Gaussian Forecast Grid The Gaussian Forecast Grid is a forward-looking market modeling tool that uses a Gaussian Process Regression framework to estimate future price behavior. Built around a non-parametric machine learning approach, it maps recent historical price data to generate smoothed forecasts, offering an evolving yet mathematically grounded projection of where price could be headed. This is not a “signal generator”—it’s a probabilistic estimation tool that overlays a fitted baseline with a future-facing forecast curve, giving traders visual guidance on short-term trend expectations while accounting for noise and variance in price behavior. ⸻ 🔍 What Does the Gaussian Forecast Grid Do? Gaussian Forecast Grid takes a fixed historical training sample of price data and fits it using a Gaussian kernel, generating two key visual elements: • Fit Line — a smoothed, mathematically reconstructed version of the past data window • Forecast Line — a forward-projected estimation of price behavior based on the shape and curvature of the past data Traders can adjust how sensitive the model is to local volatility, how smooth the prediction curve is, and how frequently the forecast updates. ⸻ ⚙️ How It Works – Technical Logic Explained 1. Kernel Regression Foundation The tool applies a Gaussian kernel function that evaluates similarity between time steps in a defined window. This results in a covariance matrix that models how likely different values are to move together. kernel(x1, x2) = exp( - (x1 - x2)² / (2 * scale²) ) • X-axis: Time steps • Y-axis: Price deviations from baseline • Scale: Smoothing factor (determines how tight or loose the fit is) 2. Training Phase A fixed number of bars (Data Sample Length) are selected as the training window, from which the tool: • Computes a baseline average (via SMA) • Normalizes price deviations • Builds a covariance matrix for training (with optional noise) • Inverts the matrix to solve for weights 3. Forecast Generation With the model trained: • Future time steps (Projection Steps) are mapped • The kernel is applied between past and future points • A projected set of values is generated based on how past structure likely evolves 4. Model Refresh Options Users can control when the model retrains: • Lock Forecast: Generates forecast once and holds it • Update Once Reached: Recomputes after reaching the end of the forecast window • Continuously Update: Recalculates forecast on every new bar ⸻ 📈 What Each Visual Element Represents Visual Component Meaning Blue Line (Fit) A smoothed curve fitted to historical price behavior Red Line (Forecast) Projected price path based on Gaussian inference Baseline The mean price used to normalize the data Polyline Split Left = historical fit, Right = projected future These lines are dynamically drawn and cleared based on model refresh mode, ensuring only relevant and current data is displayed. ⸻ 📊 Inputs & Settings Explained Training Inputs Setting Description Data Sample Length How many bars are used to fit the model (higher = smoother, slower) Fit Color Color for the historical fit curve Forecast Controls Setting Description Projection Steps Number of future bars to forecast Prediction Color Color of the projected forecast line Model Behavior Setting Description Smoothing Factor Controls the “tightness” of the curve; lower values = more reactive Noise Scale Adds Gaussian noise to prevent overfitting; useful in high-volatility assets Model Behavior (Refresh Mode) • Lock Forecast = static output • Update Once Reached = refresh after forecast ends • Continuously Update = live update every bar ⸻ 🧠 How to Interpret It in Real Markets This indicator does not tell you where price is going. Instead, it provides a smoothed probabilistic path based on the recent shape of price movement. Use Cases: • 🧭 Price Projection Framing: Align other tools (like OBs, liquidity zones, or support/resistance) within the estimated trajectory • 🔄 Reversion vs. Continuation: Compare current price position relative to the forecast path to judge whether the market is returning to structure or breaking from it • 📐 Bias Context: Use forecast slope direction to determine short-term directional bias ⸻ 🧪 Strategy Integration Tips • Pair with a volatility filter to use only when price is ranging or compressing • Overlay with SMC tools like OB, FVG, or BOS indicators for confirmation • Use as a visual narrative tool to avoid chasing price blindly during uncertain phases

EdgeXplorer - Liquidity Scope Liquidity Scope by EdgeXplorer Liquidity Scope is a real-time liquidity detection system developed for traders who want to track where the market is hunting stops, absorbing orders, and setting up traps — often before the average eye catches on. Built to identify the telltale behavior of liquidity sweeps and false breakouts, this tool highlights areas on the chart where price interacts with key swing points, including wicks, breaks, and retests. ⸻ 🔍 What Does Liquidity Scope Do? Liquidity Scope scans price action for swing highs and lows, tracks how price behaves around them, and visually plots zones where liquidity is likely being targeted. It tells you: • When price wicks into a previous swing without breaking it (a liquidity probe), • When price breaks past that level and returns (a potential retest), • And when a sweep is complete or mitigated. The result? A visual map of where liquidity was grabbed, where it hasn’t been yet, and where price might revisit — all drawn directly on your chart, in real time. ⸻ ⚙️ How It Works – Technical Breakdown Here’s the logic behind the engine: 1. Swing Detection The script uses ta.pivothigh() and ta.pivotlow() to mark structural swing points, using your selected “Swings” length to define sensitivity. 2. Sweep Conditions For each swing high or low: • If price wicks into the level but fails to close beyond it → potential liquidity test. • If price closes beyond the swing → it’s marked as broken. • If price later retests the broken level from the other side → it’s tagged as a retest zone. 3. Visual Memory Each swing level stores its own “memory state” (whether it was wicked, broken, retested, or mitigated), allowing the tool to update visuals live and avoid clutter. 4. Dynamic Zones • When a sweep is detected, the tool draws a colored zone (box) at the sweep location, along with a supporting line. • These zones extend forward until price clearly invalidates or mitigates them. ⸻ 📈 Visual Components – What You See on the Chart Element Meaning Green Zones / Lines Bullish sweep: liquidity hunted below a swing low Red Zones / Lines Bearish sweep: liquidity hunted above a swing high Dotted Lines Wicks — price tested the level without breaking Dashed Lines Retests — price returned to retest a broken level Solid Lines Confirmed sweep levels with clean structure Shaded Boxes Sweep zones extended into the future for monitoring Faded Transparency Indicates mitigation or that the zone is cooling off Every visual is tied to a logic branch in the code — nothing is decorative. Each shape or line has meaning tied to price behavior. ⸻ 📊 Inputs & Settings Explained Setting Description Swings (len) Sets the pivot lookback range. Higher = fewer, stronger swing levels. Options (opt) Controls what sweep types you want to see: • Only Wicks → Focus on traps and fakeouts • Only Outbreaks & Retest → Focus on confirmed moves • Wicks + Outbreaks & Retest → See it all | | Bull/Bear Colors | Customize how bullish vs. bearish sweeps are drawn | | Extend Zones (extend) | When on, boxes stretch forward in time until price touches or invalidates them | | Max Bars (maxB) | Sets how long (in bars) sweep zones will stay active before expiring | ⸻ 🧠 How to Read It in Live Markets Liquidity Scope doesn’t tell you what to do — it tells you what the market just did in relation to liquidity and structure. Here’s how to use it: • Green Zones (Bullish Sweeps): Price just grabbed liquidity under a low. Watch for: • A bounce → potential reversal • A retest → possible long entry confirmation • Red Zones (Bearish Sweeps): Price swept above a high. Watch for: • Immediate rejection → potential short zone • Pullback and retest → trend continuation trap or fake breakout • Wick Sweeps Only: Often seen in range-bound markets or when market makers are testing stops. • Retest Sweeps: Often seen in trending markets, validating breakouts or signaling exhaustion. ⸻ 🧪 Optional Use Cases & Strategy Tips Here’s how traders on the EdgeXplorer platform use Liquidity Scope: • 🔄 Smart Money Concepts: Use sweep zones alongside order blocks, FVGs, and breakers to confirm institutional movement. • ⚠️ Trap Zones: Spot liquidity fakeouts where retail might be chasing early breakouts. • 🎯 Entry/Exit Filtering: Use zones to validate entries only when price reacts cleanly around them — or exits when mitigation completes. • 🧠 Confluence Layer: Combine with trend indicators or volume to add strength to directional bias. ⸻ 🔒 Final Note on Use & Compliance Liquidity Scope is a market behavior visualizer, not a signal generator. It helps you understand where the market might be trapping liquidity, but you are the strategy. Always pair with proper confirmation, risk management, and your own discretion. All logic, structure, and assets in this script are © protected under ETAPX Inc. and the EdgeXplorer platform. Unauthorized sharing or monetization of this code is prohibited under company and platform policy.