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Bigbeluga

RSI bands + Moving Average & Volume Delta %***How to USE*** 1. RSI bands showing overbought over sold. once the candle touched any upper or lower band this indicated trend is about to make reversal or longer retracement. 2. Moving Average with color fill following trend make it easy to identify trend and direction. by default is EMA7 and WMA45, but you can change to any favorite numbers 3. There is volume bar showing buyers and sellers data by percentages 4. there are POC and VAH VAL which can be enabled and disable in setting panel.
אינדיקטור Pine Script®
מאת ‎brosbothbk‎
HTF Delta Flux + Liquidations [BigBeluga]HTF Delta Flux + Liquidations is a high-timeframe order flow diagnostic tool that visualizes the internal volume dynamics of macro candles. By projecting Higher Timeframe (HTF) structures onto your current chart, it reveals the "Flux"—the movement of Cumulative Volume Delta—and identifies high-velocity volume spikes often associated with liquidations. Unlike standard indicators that only show a candle’s open and close, this script breaks down the aggressive buying and selling that occurred inside the candle’s duration. 🔵 CONCEPTS HTF Candle Boxes: Automatically draws the body and wicks of a higher timeframe (e.g., Daily or Weekly) over your intraday price action. The Delta Flux Curve: An internal polyline that maps the path of Cumulative Volume Delta within the HTF candle. This allows you to see if a candle’s volume was "front-loaded" or "back-loaded." Full Body Mode: A visual toggle that expands the candle box to cover the entire High-Low range, creating a "Liquidity Zone" view. Cumulative Delta Dashboard: A real-time table tracking the last N HTF candles, displaying their directional bias, total delta, and the volume contributed by liquidation flushes. 🔵 THE SYNTHETIC LIQUIDATION ENGINE It is important to note: This indicator does not use real-time exchange liquidation API data. Since TradingView does not provide native exchange-level liquidation feeds for all symbols, this tool uses a Volume-Based Proxy to identify liquidation-like events. How it works: The engine monitors the rate of change in Volume Delta. When a volume spike exceeds a specific Standard Deviation threshold relative to recent activity, it identifies a "Liquidity Flush." In the market, these extreme, sudden bursts of volume often correlate with forced liquidations or stop-run cascades. Circle Markers: Appear at the high or low of the bar where the flush occurred. Volume Labels: Display the specific amount of aggressive delta that triggered the signal. 🔵 FEATURES Customizable HTF Timeframe: Analyze Daily, Weekly, or even Monthly order flow on 1-minute or 5-minute charts. Standard Deviation Sensitivity: Fine-tune the "Dev Threshold" to filter out minor volume noise and only highlight the most significant liquidity events. Live Delta Tracking: The current "Live" candle displays a real-time count of the active delta flux. Historical Bias Analysis: The dashboard calculates the average bias and liquidation volume over your selected history to identify macro trend exhaustion. 🔵 HOW TO USE Spotting Absorption: If you see a large Bullish HTF candle but the Delta Flux Curve is trending downward, it suggests aggressive selling is being absorbed by limit buyers. Trading the "Flush": Liquidation labels (circles) often mark the local top or bottom of a move. When a "Liq" label appears after a fast price extension, it frequently signals a temporary exhaustion of the move. Trend Confluence: Use the Dashboard to see if "Average Liq Volume" is increasing. Rising liquidation volume at the end of a trend often precedes a major reversal. Intra-Candle Context: Watch the Delta Curve . If price is moving higher but the curve is flat, the move is likely low-conviction and prone to a retracement. 🔵 CONCLUSION HTF Delta Flux + Liquidations bridges the gap between macro structure and micro order flow. By transforming raw volume into a visual "Flux" path and highlighting mathematical volume anomalies, it provides traders with a sophisticated map of institutional aggression and retail exhaustion.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
4
Heatmap Liquidity Zones [BigBeluga]🔵 OVERVIEW Heatmap Liquidity Zones is a higher-timeframe volume heatmap tool designed to reveal where liquidity is concentrated inside institutional ranges. Instead of plotting a traditional volume profile, this indicator builds a dynamic heatmap across each selected higher-timeframe candle. It highlights high-volume price clusters, filters significant liquidity zones, and extends them forward as actionable support/resistance levels. The result is a clean liquidity map that visualizes where participation is strongest — and where reactions are most likely to occur. 🔵 CORE CONCEPT HTF Range Segmentation — Each higher-timeframe candle (D/W/M or custom) defines a new accumulation range. ATR-Based Adaptive Binning — Vertical bin size is derived from ATR to maintain consistent resolution across volatility regimes. Volume Density Mapping — Volume is distributed into price bins and normalized relative to the highest-volume bin. Liquidity Filtering — Only bins exceeding a configurable percentage threshold are promoted to active liquidity levels. Self-Cleaning Zones — Liquidity levels automatically disappear once breached by price. 🔵 HOW IT WORKS 1️⃣ Higher-Timeframe Reset Logic When a new selected HTF candle begins, the previous range is finalized. A new accumulation range starts from that bar. High and Low are tracked dynamically throughout the segment. 2️⃣ ATR-Based Bin Construction ATR defines the vertical bin size (ATR × Multiplier). The total range is divided into up to Max Bins. This ensures bin resolution adapts automatically to volatility. 3️⃣ Volume Distribution For each completed segment, volume is distributed into bins based on proximity to bin midpoint. Volume per bin is normalized relative to the maximum bin. Each bin is assigned a heat color based on relative density: Low Density → Purple Mid Density → Cyan High Density → Yellow 4️⃣ Liquidity Zone Creation If a bin exceeds the Liquidity Filter %, it becomes a tracked liquidity level. Liquidity levels extend forward as horizontal lines. The thickness is controlled by Liquidity Level Width. Stronger zones display larger markers and percentage labels. 🔵 HEATMAP VISUAL STRUCTURE Completed segments display full heatmap boxes across the range. Active segment updates in real time. Color intensity reflects liquidity concentration. High-density zones stand out clearly for institutional reference. 🔵 OPTIONAL MOVING AVERAGE Optional smoothing MA overlay (SMA, EMA, RMA, WMA, VWMA). Hidden by default. Can be used for confluence with liquidity zones. 🔵 KEY FEATURES Higher-timeframe segmented liquidity mapping. ATR-based adaptive resolution. Three-stage heatmap gradient. Configurable liquidity filtering. Auto-expiring support/resistance levels. Dynamic zone thickness based on volume strength. Real-time developing heatmap. Optional MA overlay. 🔵 HOW TO USE Focus on yellow (high-density) zones for strongest liquidity pools. Watch reactions at filtered liquidity levels. Use HTF segmentation (Weekly/Monthly) to identify institutional positioning. Combine with breakout tools for liquidity sweep setups. Lower ATR multiplier → more granular liquidity clusters. Higher Liquidity Filter % → only strongest zones remain. 🔵 INTERPRETING LIQUIDITY High density near highs → potential distribution. High density near lows → potential accumulation. Clustered zones → compression areas before expansion. Thin zones → low participation, faster price movement potential. 🔵 CONCLUSION Heatmap Liquidity Zones transforms higher-timeframe volume into a structured liquidity map. By combining ATR-adaptive binning, density-based heat gradients, and intelligent liquidity filtering, it highlights where institutional participation is concentrated — and where meaningful reactions are most likely. This makes it especially powerful for identifying liquidity pools, sweep zones, and structural turning points.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
6
Equilibrium Momentum Shift + Divegence [BigBeluga]🔵 OVERVIEW Equilibrium Momentum Shift is a range-based momentum oscillator designed to measure how far price has deviated from its current equilibrium. Instead of focusing purely on trend direction or overbought/oversold conditions, this indicator evaluates price relative to the midpoint of its recent range and quantifies the strength of the shift away from that balance. By combining normalized range deviation, smoothing techniques, and nonlinear compression, the indicator provides a clear view of when markets transition from equilibrium into directional momentum, now featuring Normal Divergence detection to spot potential trend reversals. 🔵 CONCEPT Equilibrium Midpoint — The midpoint between the highest high and lowest low over the selected range length represents the equilibrium price. Deviation Measurement — The indicator measures how far the current price has moved away from this midpoint. Range Normalization — Deviations are normalized relative to the size of the current range, allowing the oscillator to remain consistent across different volatility conditions. Momentum Compression — A hyperbolic tangent function compresses extreme values, stabilizing the oscillator and preventing runaway signals during large trends. Divergence Identification — Automatically identifies discrepancies between price action and the oscillator to highlight weakening momentum in established trends. 🔵 HOW IT WORKS 1️⃣ Equilibrium Range Calculation The indicator calculates the highest high and lowest low over the user-defined range length. The midpoint between these two levels forms the equilibrium line. This midline represents the center of balance for recent price activity. 2️⃣ Price Deviation Measurement The distance between the current close and the equilibrium midpoint is calculated. This deviation is then smoothed using a double EMA structure to reduce noise. The smoothed value is normalized relative to half of the current range size. 3️⃣ Nonlinear Oscillator Transformation A hyperbolic tangent function compresses normalized deviations into a stable range between -1 and +1. This transformation prevents extreme outliers and creates a more interpretable oscillator. 4️⃣ Momentum Histogram A signal line is generated using EMA smoothing. The difference between the oscillator and the signal line forms a histogram. The histogram behaves similarly to a MACD-style momentum indicator: Expanding bars indicate strengthening momentum. Contracting bars indicate weakening momentum. 5️⃣ Normal Divergence Logic Bullish Divergence: Occurs when price makes a Lower Low , but the Equilibrium Oscillator makes a Higher Low . This suggests that despite the price drop, the selling pressure relative to equilibrium is fading. Bearish Divergence: Occurs when price makes a Higher High , but the Equilibrium Oscillator makes a Lower High . This indicates that the buyers' ability to push price away from the midpoint is losing strength. 🔵 KEY FEATURES Equilibrium midpoint plotted directly on the chart. Range-normalized momentum oscillator. Hyperbolic tangent compression to stabilize signals. MACD-style histogram for momentum acceleration detection. Automatic Normal Divergence labels to spot exhaustion. Gradient-colored oscillator line reflecting directional bias. Dashboard displaying real-time momentum metrics. 🔵 DASHBOARD METRICS Shift — Current oscillator value showing how far price has moved from equilibrium. State — Market regime derived from oscillator thresholds: Bullish Bearish Neutral Range Position — Location of price inside the current range expressed as a percentage. Pressure — Magnitude of momentum deviation from equilibrium. 🔵 HOW TO USE Use the equilibrium midline as a dynamic balance reference. When the oscillator moves above zero, bullish momentum dominates. When the oscillator moves below zero, bearish momentum dominates. Trading Divergences: Watch for divergence labels when price is at historical range extremes. A bullish divergence near the "Lowest Low" of the range suggests a high-probability mean-reversion trade back toward equilibrium. Histogram expansions highlight momentum acceleration. Histogram contraction can signal potential momentum exhaustion. 🔵 INTERPRETING MOMENTUM SHIFTS Oscillator near zero → Market is balanced around equilibrium. Oscillator above 0.2 → Bullish momentum phase. Oscillator below -0.2 → Bearish momentum phase. Divergence Label + Oscillator Flatline → High probability of a trend reversal or deep pullback. Rapid oscillator expansion → Strong directional pressure. Oscillator flattening → Momentum compression or consolidation. 🔵 CONCLUSION Equilibrium Momentum Shift offers a structured way to analyze how price behaves relative to its recent balance point. By measuring normalized deviations from equilibrium and visualizing momentum shifts with a smoothed oscillator, histogram, and integrated divergence analysis , the indicator helps traders identify when markets transition from balance into directional movement. This makes it especially useful for spotting early momentum expansions, trend continuation signals, and potential exhaustion points where price is likely to snap back to its equilibrium midpoint.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
13
Institutional Volume Flow [BigBeluga]🔵 OVERVIEW Institutional Volume Flow is a higher-timeframe segmented developing volume profile tool designed to reveal where institutional participation is building inside active price ranges. Instead of plotting static session profiles, this indicator dynamically tracks the developing High, Low, Midpoint, and Point of Control (POC) for each selected higher-timeframe segment (Daily, Weekly, or Monthly). It allows traders to visualize where volume is accumulating in real time - and where dominant positioning is forming before the segment closes. The result is a structural + volume hybrid framework that exposes institutional footprints inside expanding ranges. 🔵 CORE CONCEPT HTF Segmentation - The chart is divided into higher-timeframe segments (D/W/M). Each new segment starts a fresh developing volume profile. Developing Range Logic - High and Low levels continuously update during the segment, defining the active institutional range. Volume Distribution Mapping - All traded volume inside the segment is distributed across price bins to build a live volume profile. Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar. Institutional Bias Detection - Background coloring adapts depending on whether price is trading above or below the segment midpoint. 🔵 HOW IT WORKS 1️⃣ Segment Detection A new segment begins whenever the selected higher timeframe changes. All volume and price calculations reset at the start of a new segment. Previous segments are frozen and preserved on the chart for historical reference. 2️⃣ Developing High / Low Structure The highest high and lowest low inside the current segment update dynamically. A midpoint (average of High and Low) is calculated to represent internal balance. These levels extend forward visually for clarity. 3️⃣ Volume Profile Construction The price range is divided into user-defined bins (Volume Profile Bins). Each bar’s volume is assigned to the corresponding price bin. Volume accumulates throughout the segment. Box width represents relative volume intensity at that level. The strongest node becomes the Point of Control (POC) . Rolling Point of Control - The price level with the highest accumulated volume is recalculated every bar during Segment developing. 4️⃣ Developing vs Frozen Profiles The active segment shows a developing profile that updates in real time. When a new segment begins, the completed profile is frozen. This allows comparison between current positioning and previous institutional distributions. 5️⃣ Volume Spike Detection (Z-Score) A 50-bar rolling mean and standard deviation are used. When volume significantly exceeds normal distribution, the range fill intensifies. This highlights abnormal participation inside the active range. 🔵 KEY FEATURES Higher-timeframe segmentation (Daily / Weekly / Monthly). Developing High, Low, and Midpoint levels. Bias-based profile coloring : green above midpoint, blue below midpoint. Real-time rolling Point of Control. Customizable number of volume bins for precision. Adjustable profile width for clear visualization. Frozen historical profiles for structural context (with preserved bias color). Z-score volume spike detection. Institutional range bias shading at segment start/end. 🔵 HOW TO USE Watch where price interacts with the developing POC — this often signals value acceptance or rejection. Use the segment midpoint to gauge balance vs imbalance. Treat green profiles as bullish-leaning segments (close above mid) and blue profiles as bearish-leaning segments (close below mid). Observe whether volume builds near highs or lows — this can indicate accumulation or distribution. Monitor frozen prior segments to identify high-volume memory zones. Use volume spikes to detect aggressive participation inside developing ranges. Combine with liquidity tools or order blocks for confirmation. 🔵 INTERPRETING INSTITUTIONAL FLOW Expanding range + rising POC → value shifting. Contracting range + stable POC → consolidation. Heavy volume near extremes → potential absorption. POC migration during trend → institutional repositioning. 🔵 CONCLUSION Institutional Volume Flow transforms higher-timeframe segmentation into a live institutional positioning map. By combining structural range development with rolling volume profiling and abnormal volume detection, it provides traders with a powerful way to understand where participation is building - not just where price is moving. It is especially effective for identifying accumulation, distribution, and value shifts before a higher-timeframe candle closes.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
11
Kalman Volume Trend [BigBeluga]🔵 OVERVIEW Kalman Volume Trend is an advanced trend-following system that combines the predictive power of a Kalman Filter with real-time volume delta analysis. Unlike standard moving averages that suffer from significant lag, the Kalman Filter uses a recursive mathematical algorithm to estimate the "true" trend by filtering out market noise. The indicator not only identifies directional regimes but also visualizes the intensity of buying and selling pressure directly on the trend line, providing a multi-dimensional view of market conviction. 🔵 CONCEPT Kalman Filter Logic — A state-space model that predicts price movement and then corrects itself based on new data, resulting in a smoother yet more responsive trend line than traditional EMAs. Adaptive ATR Bands — The trend direction is determined by price breaking through volatility-adjusted bands, reducing whipsaws in sideways markets. Volume-Weighted Trend Lines — The indicator plots "Volume Bars" extending from the trend line, where the length and color represent the relative strength of the volume delta. Cumulative Trend Statistics — It tracks the total buy volume, sell volume, and net delta from the exact moment a new trend begins. 🔵 HOW IT WORKS (IN-DEPTH) 1️⃣ The Kalman Filtering Process The script utilizes two primary parameters: Process Noise (Q) and Measurement Noise (R) . It calculates a "State Estimate" (the trend) by balancing its previous prediction against the current price. If the price is "jittery" (high R), the filter smooths the line; if the trend is moving decisively (low Q), it tracks the price more aggressively. 2️⃣ Trend Direction & Volatility Bands Two bands are projected around the Kalman line based on a multiplier of the Average True Range (ATR) . A Bullish trend is triggered when price closes above the upper band. A Bearish trend is triggered when price closes below the lower band. Once a trend is established, the opposite band acts as the trailing "Trend Line" to provide a clear buffer for price fluctuations. 3️⃣ Volume Delta Visualization Small vertical candles ("Volume Bars") are plotted along the trend line. These bars represent the Normalized Volume Delta (Close vs. Open and Volume intensity). Large bars indicate high-conviction participation, while small bars suggest waning interest or consolidation. 4️⃣ Extreme Volume & Cumulative Dashboard When volume exceeds 1.5x its recent average, an "X" label appears on the chart to mark an Exhaustion or Ignition point. A bottom-right dashboard displays a vertical histogram showing the balance of power (BUY vs. SELL vs. DELTA) for the current trend only . 🔵 KEY FEATURES Recursive Kalman Algorithm: High-accuracy trend tracking with minimal lag. Integrated Volume Profiling: See volume delta without needing a separate sub-window. Dynamic Trend Dashboard: Automatically resets at every trend flip to show fresh volume stats. Volatility-Aware: Uses 200-period ATR to ensure bands adapt to changing market conditions. Volume Extreme Alerts: Identifies high-volume spikes that often precede trend reversals. 🔵 DASHBOARD METRICS BUY — Total volume accumulated on bullish candles since the trend started. SELL — Total volume accumulated on bearish candles since the trend started. DELTA — The net difference between buying and selling pressure. TOTAL VOLUME — The total "fuel" spent during the current directional regime. 🔵 HOW TO USE Riding the Trend: Stay in the trade as long as the Kalman line color remains consistent. Spotting Weakness: If the Kalman line is Bullish (Blue) but the Volume Bars are consistently negative or shrinking, the trend may be losing steam. High-Volume Breakouts: Look for the "X" labels at the start of a trend shift; this confirms institutional participation in the new direction. Dashboard Confirmation: Use the vertical histogram to confirm if the buyers or sellers are truly in control during a pullback to the trend line. 🔵 CONCLUSION Kalman Volume Trend offers a sophisticated approach to trend analysis by merging high-level signal processing with raw volume data. By focusing on "clean" price data and weighting it with volume delta, it helps traders filter out market noise and focus on high-conviction movements.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
7
Fair Value Gap Profile + Rolling POC [BigBeluga]🔵 OVERVIEW FVG Profile builds a price-level profile based on detected Fair Value Gaps (FVGs) over a fixed lookback period. Instead of measuring traded volume alone, this tool aggregates bullish and bearish FVG occurrences into horizontal bins, allowing traders to see where price inefficiencies are most concentrated. Each profile level represents how many bullish and bearish FVGs formed near that price zone, along with their relative strength, imbalance, and delta volume. 🔵 CONCEPTS FVG Detection — • Bullish FVG: when the high two bars back is below the current low. • Bearish FVG: when the low two bars back is above the current high. Price Binning — The full price range of the lookback period is divided into fixed bins. FVG Aggregation — Each detected FVG is mapped to its nearest price bin and counted. Directional Separation — Bullish and bearish FVGs are stored separately inside each bin. 🔵 FEATURES Bull / Bear FVG Profile — • Green segments represent bullish FVG counts. • Orange segments represent bearish FVG counts. • Each bin visually shows how many FVGs occurred at that level. Strength Percentage — • Each bin displays a % value based on total FVG count. • The strongest bin is normalized to 100%. Delta Volume — • Calculates the difference between bullish and bearish FVG volume per bin. • Positive delta = bullish dominance. • Negative delta = bearish dominance. Heatmap Mode — • Colors profile levels by relative strength. • Color direction is driven by delta volume (bullish vs bearish). Live FVG Visualization — Optionally plots individual bullish and bearish FVG boxes on the chart. Profile Background — A background frame highlights the full analyzed price range. 🔵 Rolling POC Logic Unlike a static profile, the Rolling POC moves with price. It continuously calculates the "peak imbalance level" for the last X bars, providing a moving average of where the market's most significant gaps are forming. 🔵 Moving Average Integration The indicator features a customizable Moving Average (SMA, EMA, WMA, VWMA, etc.). This MA helps identify if the price is currently trending toward or away from high-density FVG zones. An "Auto" length feature is included that scales the MA based on the selected lookback period for optimal smoothing. 🔵 HOW TO USE Identify FVG Clusters — Strong profile levels highlight prices where inefficiencies repeatedly formed. Directional Bias — Compare bullish vs bearish segments to determine dominance at each level. Delta Confirmation — Use delta volume to confirm whether bullish or bearish FVGs control the zone. Reaction Zones — High-strength bins often act as areas of interest for price reactions. Heatmap Context — Enable heatmap to quickly spot dominant imbalance zones across the range. 🔵 CONCLUSION FVG Profile transforms Fair Value Gaps into a structured price-level profile, revealing where inefficiencies cluster and which side dominates those zones. By combining FVG count, directional balance, delta volume, and strength normalization, it provides a powerful way to analyze imbalance behavior beyond traditional volume profiles.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
7
Swing Profile [BigBeluga]🔵 OVERVIEW Swing Profile is a dynamic swing-based volume profiling tool that builds a complete volume profile for each completed market swing. Instead of using fixed sessions or time ranges, the indicator anchors its profile strictly between confirmed swing highs and swing lows, allowing traders to analyze where volume accumulated inside each directional leg. The profile updates in real time while a swing is still forming and finalizes once the swing direction flips, giving both historical and live insight into volume behavior. 🔵 CONCEPTS Swing-Anchored Profiling — Volume is calculated only between confirmed swing highs and lows detected by the Swing Length input. Directional Legs — Each bullish or bearish swing leg gets its own independent volume profile. ATR-Adaptive Bins — Profile bin size is automatically scaled using ATR, keeping resolution consistent across volatility regimes. Real-Time Rebuild — While a swing is still active, the profile continuously recalculates and redraws. Finalized Profiles — Once direction flips, the profile is locked and marked as a completed swing. 🔵 FEATURES Swing Volume Profile — Displays horizontal volume distribution for each swing leg. Point of Control (PoC) — Highlights the price level with the highest traded volume inside the swing. Buy / Sell Volume Separation — Tracks bullish (buy) and bearish (sell) volume inside each profile. Delta Volume Calculation — Shows net buying vs selling pressure as a percentage. Profile Outline — A polyline traces the outer shape of the volume distribution. HeatMap Mode — Optional heatmap visualization showing volume intensity by color gradient. ZigZag Swing Connector — Visual connection between swing highs and lows for structure clarity. Custom Label Sizing — Adjust label size (Tiny → Huge) for clean chart scaling. 🔵 HOW TO USE Identify High-Interest Zones — Use the PoC to locate price levels where the market spent the most time during a swing. Trend Strength Analysis — Strong directional swings often show volume skewed toward one side of the profile. Pullback Zones — Profiles help identify areas where price may react during retracements. Continuation vs Reversal — Delta volume reveals whether buying or selling dominated the swing. Live Monitoring — While a swing is forming, watch the real-time profile to anticipate where structure may complete. 🔵 DATA LABELS T — Total traded volume inside the swing. B — Buy volume (bullish candles). S — Sell volume (bearish candles). D — Delta volume (% difference between buy and sell volume). 🔵 CONCLUSION Swing Profile delivers a precise, structure-aware view of volume by anchoring profiles directly to market swings. By combining real-time profiling, PoC detection, delta analysis, and adaptive resolution, it provides deep insight into where participation truly occurred — making it a powerful tool for swing traders, structure traders, and volume-focused strategies.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
29
HTF Candle Architecture [BigBeluga]🔵 OVERVIEW HTF Candle Architecture is an advanced higher-timeframe (HTF) structural visualization tool that reconstructs and projects HTF candles directly onto any lower-timeframe chart. Instead of relying on standard timeframe switching, the indicator builds synthetic HTF candles in real time, exposing their internal architecture — High, Low, Open, and Close — as dynamic price levels that extend into the future. This tool is designed to help traders read higher-timeframe intent, structure, and control points while operating on lower timeframes with precision. 🔵 CORE IDEA Markets are governed by higher-timeframe structure, even when trading lower timeframes. HTF candles define key decision levels where liquidity, rejection, and continuation often occur. By reconstructing HTF candles bar-by-bar, traders can track their evolution instead of waiting for candle close. 🔵 HOW THE INDICATOR WORKS HTF Candle Reconstruction The indicator uses the selected HTF timeframe (e.g., Daily, 4H, 1H). Each time a new HTF candle begins, the previous HTF candle’s OHLC values are stored. While the current HTF candle is forming, its High and Low are continuously updated in real time. This creates a live HTF candle that evolves with every lower-timeframe bar. Synthetic Candle Architecture Each HTF candle is drawn using: A vertical wick (High–Low range) A candle body (Open–Close) Candles are color-coded automatically: Bullish candle → bullish color Bearish candle → bearish color This makes HTF direction visually clear without changing chart timeframe. 🔵 OHLC LEVEL PROJECTION LOGIC High, Low, Open, and Close levels from each HTF candle can be enabled independently. Each level is projected forward by a user-defined offset . Projected levels act as: HTF support and resistance Liquidity interaction zones Execution reference points for lower-timeframe entries Different line styles (Solid / Dashed / Dotted) can be assigned per level for clarity. 🔵 MULTI-CANDLE STRUCTURE Up to four HTF candles can be displayed simultaneously. Older candles provide historical context. The most recent candle shows active HTF structure. Each candle is offset horizontally to prevent overlap and preserve readability. 🔵 REAL-TIME VS COMPLETED CANDLES Completed HTF candles represent confirmed structure. The real-time HTF candle shows how current price is building relative to higher-timeframe extremes. This allows traders to anticipate HTF reactions before candle close. 🔵 VISUAL & STRUCTURAL DETAILS Top label displays selected higher timeframe. Optional labels display exact OHLC prices and candle index. Small circular markers highlight exact OHLC anchor points on the chart. Background shading marks the moment a new HTF candle begins. A timeframe label confirms the active HTF reference. 🔵 PRACTICAL USE CASES Trade lower timeframes in alignment with HTF candle bias. Use HTF Open and Close as directional bias levels. Use HTF High and Low as liquidity sweep and rejection zones. Combine with order blocks, volume tools, or market structure indicators. 🔵 CONCLUSION HTF Candle Architecture transforms higher-timeframe candles into actionable structure on any chart. By exposing the internal OHLC architecture of HTF candles — both completed and forming — the indicator bridges the gap between macro structure and micro execution, allowing traders to align precision entries with dominant market intent.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
19
Liquidity Depth Indicator [BigBeluga]🔵 OVERVIEW Liquidity Depth Indicator visualizes the distribution, balance, and depth of liquidity within a selected lookback window. It builds a full liquidity profile by scanning how often price interacted with each price level, generating cumulative buy-side and sell-side curves, heatmap intensity zones, and a clear Point of Control (PoC). This provides a deep structural view of where liquidity sits, how it’s stacked, and which side of the market dominates. 🔵 CONCEPTS Liquidity Binning — The full range (High → Low) over the lookback window is divided into 100 micro-price zones. Each candle contributes its volume into the bin closest to its close. Buy/Sell Side Split — • Zones above the midpoint = potential sell-side liquidity concentration. • Zones below midpoint = potential buy-side liquidity concentration. Cumulative Liquidity Curves — Each side builds a flowing curve showing how liquidity stacks from mid toward extremes. Liquidity Heatmap — Highlights volume density at each price level using color intensity for easy visual analysis. Point of Control — The price level with the highest liquidity accumulation (max volume bin). 🔵 FEATURES 100-Level Volume Distribution — Scans all candles inside the lookback period and assigns each close to the nearest bin. Sell-Side Depth Curve — Plotted above the midpoint, showing how sell liquidity increases as price moves toward the top of the range. Buy-Side Depth Curve — Plotted below the midpoint, showing how buy liquidity builds toward the bottom of the range. Volume Labels — Displays total buy-side and sell-side volume at curve peaks. Mid-Range Liquidity Split — Calculates: • Buy-side liquidity % • Sell-side liquidity % Displayed in two vertical boxes next to the profile. Liquidity Heatmap Overlay — Color-coded price strips showing where largest clusters sit: • Above midpoint → Sell zones • Below midpoint → Buy zones PoC Detection — Draws the strongest liquidity level with a bold line and prints its relative volume. Range Frame Lines — High, Low, and Mid lines are plotted to define the liquidity environment. Auto-Cleanup & Rebuild — All curves, boxes, and heatmap segments are refreshed each bar using barstate.islast. 🔵 HOW IT WORKS 1. Determines High, Low, and Mid over the lookback window. 2. Divides the range into 100 bins based on linear spacing. 3. Accumulates volume per bin depending on where each candle’s close lands. 4. Builds total, buy-side, and sell-side cumulative curves . 5. Colors the heatmap based on normalized volume per bin. 6. Locates PoC — the bin with maximum volume. 7. Creates buy/sell percentage distribution boxes . 🔵 HOW TO USE Identify Liquidity Imbalance — Compare the buy vs sell percentage boxes to see which side dominates. Spot Strong Liquidity Walls — Thick portions of cumulative curves represent areas price may reject. Read PoC as a Magnet — Price often gravitates toward the PoC or reacts strongly once reached. Evaluate Breakout Strength — If liquidity is concentrated at extremes, a breakout may face strong absorption. Use Heatmap as Hidden S/R — The brightest zones frequently act as hidden support/resistance. Detect Exhaustion Areas — If a curve sharply thins near highs or lows, the trend may weaken. 🔵 CONCLUSION Liquidity Depth Indicator is a powerful microstructure tool that reveals where liquidity is stacked within a price range. By combining cumulative curves, heat mapping, and PoC identification, it exposes both visible and hidden liquidity layers — helping traders spot absorption zones, reversal clusters, liquidity pools, and trend exhaustion areas with high clarity.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
5
Future Swing [BigBeluga]🔵 OVERVIEW Future Swing is a swing-based projection tool that estimates the potential size and price target of the next swing move using historical swing behavior. Instead of predicting direction randomly, it analyzes completed swing legs, measures their percentage moves, and projects a statistically derived swing target into the future. The indicator combines swing structure, high/low zones, volume context, and a real-time dashboard to help traders anticipate where price may travel next. 🔵 CONCEPTS Swing Detection — Swing highs and lows are identified using a configurable lookback length. Swing Percentage Tracking — Each completed swing leg is converted into a percentage move and stored. Statistical Projection — Future swing size is estimated using Average, Median, or Mode of past swing percentages. Directional Awareness — Projections adapt automatically based on current swing direction. 🔵 FEATURES Historical Swing Sampling — • Uses a user-defined number of completed swings. • More samples = smoother projection, fewer samples = faster adaptation. Future Swing Projection — • Dashed line projects the estimated swing target forward in time. • Projection distance is visual-only and does not affect calculations. High/Low Swing Zones — • Upper and lower swing zones expand using ATR distance. • Zones visualize potential reaction and rejection areas. Volume Context per Swing — • Buy and sell volume are accumulated during each swing leg. • Delta and total volume are displayed in the dashboard. Smart Dashboard — • Displays each stored swing percentage. • Shows calculated swing projection value. Flexible Projection Method — • Average: smooth and balanced. • Median: filters out extreme outliers. • Mode: focuses on the most common swing size. Extendable Zones — • Swing zones can optionally extend forward indefinitely. 🔵 HOW TO USE Anticipate Swing Targets — Use the projected swing line as a probabilistic price objective. Combine with Structure — Align projections with support, resistance, or liquidity zones. Filter by Volume — Confirm swing quality using delta and total volume metrics. Adjust Sensitivity — Tune swing length and historical sample size to match timeframe and volatility. Context, Not Certainty — Use projections as guidance, not fixed take-profit levels. 🔵 CONCLUSION Future Swing transforms past swing behavior into a forward-looking projection model. By combining swing structure, statistical aggregation, ATR zones, and volume analysis, it offers traders a structured way to estimate where the next meaningful price move may reach — without relying on fixed targets or subjective assumptions.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
22
Point of Control [BigBeluga]🔵 OVERVIEW Point of Control identifies the exact price level with the highest traded volume over a selected lookback period. This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume. The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action. 🔵 CONCEPTS Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume. Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration. Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits. PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor. Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels. 🔵 FEATURES Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC. Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak. Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance. Adaptive Candle Coloring — - Neutral → price inside PoC channel. Gray - Bullish → price above PoC channel. Blue 🔵 - Bearish → price below PoC channel. Orange 🟠 Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference. Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel. Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness. Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy. 🔵 HOW TO USE Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level. Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance. Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution. Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form. Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity. 🔵 CONCLUSION Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range. It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
14
Historical Returns [BigBeluga]🔵 OVERVIEW The Historical Returns indicator visualizes daily and monthly return data to help traders assess seasonal performance and volatility behavior. It provides a clean and informative dashboard showing the current month’s daily return bubbles, monthly return curves, and a snapshot of the current month and year performance. This tool is ideal for spotting recurring return patterns and understanding the broader profitability context of a symbol. 🔵 CONCEPTS Daily Return Bubbles: Each trading day is analyzed for its return percentage, and plotted as a bubble with size proportional to the return magnitude. Monthly Performance Curves: Average or cumulative returns are calculated and plotted to show how the current month is performing relative to historical averages. Current Year Return: Current year performance as a single return value, giving traders context on long-term profitability. Current Month Average Return: Current month average performance as a single return value, giving traders context on short-term profitability. Extreme Return Labels: Optionally highlights daily returns above +4% or below -4% with labeled percentages for spike recognition. 🔵 FEATURES Shows daily return bubbles (1%–7%+), color-coded by direction. Labels monthly returns with the month name and percentage value. Displays a performance dashboard with: Daily return heatmap for the current month. Average return for the current month. Year-to-date return. Toggle between average and cumulative modes for monthly return curves. Clearly marks days with abnormal return spikes using optional labels. Clean fallback warning if not on a daily chart ("⚠️USE DAILY TIMEFRAME"). Custom color themes for bullish and bearish values. 🔵 HOW TO USE Use the monthly return curve to compare how the current month is performing against historical averages. Look for clusters of positive or negative bubbles as signals of strong directional weeks. Watch extreme return labels for volatility spikes or catalyst days. Use year-to-date return to assess how the asset is trending in the broader macro cycle. Combine with other BigBeluga tools to align trades with historically favorable periods. 🔵 CONCLUSION Historical Returns is your visual companion for return analytics — helping you identify profitable months, detect volatility surges, and understand historical seasonality at a glance. With a clean dashboard and insightful overlays, this tool supports better timing and improved statistical edge in both short- and long-term trades.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
3
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated. This tool transforms each higher-timeframe bar into a fully visualized structure: • Top = HTF high • Bottom = HTF low • Midline = HTF Frequency POC • Color-coded zones = bullish or bearish bias • Labels = counts of bullish and bearish candles inside the HTF range It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones. 🔵 CONCEPTS HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control. Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level. Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line. Directional Bias — • Bullish HTF zone • Bearish HTF zone Internal Candle Counting — Within each HTF period the indicator counts: • Buy candles (close > open) • Sell candles (close < open) This reveals whether intraperiod flow was bullish or bearish. HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance. 🔵 FEATURES Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly). Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range. 100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction. HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity. Bull/Bear Coloring — • Green → Bullish HTF zone. • Orange → Bearish HTF zone. Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction. Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish. POC Label — Displays frequency count (how many touches) at the POC level. Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe. 🔵 HOW TO USE Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish. Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet. Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential). Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure. Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure. Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point. 🔵 CONCLUSION HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
3
Trend Step Channel [BigBeluga]🔵 OVERVIEW Trend Step Channel identifies directional bias by forming a dynamic volatility-based step channel. It detects trend shifts when candle lows close above the upper band (bullish) or when candle highs drop below the lower band (bearish). A step-style midline tracks the trend evolution, while an integrated dashboard shows price positioning percentages across multiple timeframes. 🔵 CONCEPTS ATR-Based Channel — The indicator constructs upper and lower channel boundaries using ATR distance around a single adaptive trend line, providing automatic scaling with volatility. Trend Direction Logic — • Low above upper band → uptrend confirmation. • High below lower band → downtrend confirmation. Step Trend Line — A reactive midline that locks onto price swings, stepping upward or downward as new trend confirmations occur. Channel Width — Defines the total volatility range around the midline; a wider channel smooths market noise, while a narrower one reacts faster. Price Position Ratio — Calculates the relative position of the close within the channel, from 0% (bottom) to 100% (top). 🔵 FEATURES Volatility-Adaptive Channel — Expands and contracts dynamically to match market volatility, maintaining consistent distance scaling. Configurable MA Source — Choose from SMA, EMA, SMMA, WMA, or VWMA as the base smoothing method. Color-Coded Step Line — • Green indicates an uptrend. • Orange indicates a downtrend. Channel Fill Visualization — Semi-transparent fills highlight active volatility zones for clear trend identification. Price Position Label — Displays a “<” marker and percentage at the channel edge showing how far the current close is from the lower or upper band. Multi-Timeframe Dashboard — • Displays alignment across 1H–5H charts. • Each cell shows an arrow (↑ / ↓) with price % positioning. • Cell background color reflects bullish or bearish bias. Real-Time Updating — The channel, midline, and dashboard refresh dynamically every bar for continuous feedback. 🔵 HOW TO USE Trend Confirmation — • Bullish trend forms when candle low closes above the upper band. • Bearish trend forms when candle high closes below the lower band. Trend Continuation — Maintain bias while the step line color remains consistent. Volatility Breakouts — Sudden candle breaks outside the band suggest new directional strength. Dashboard Alignment — Confirm trend consistency across multiple timeframes before entering trades. Entry Planning — In uptrends, consider entries near the lower band; in downtrends, focus on upper-band rejections. Price Position Insight — Use the % label to judge whether price is extended (near 100%) or compressed (near 0%) within the channel. 🔵 CONCLUSION Trend Step Channel delivers a precise, volatility-driven view of trend structure using ATR-based boundaries and a step-line framework. The integrated dashboard, color-coded channel, and live positioning metrics give traders a complete picture of market direction, trend strength, and price location within evolving conditions.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
10
Regime Filter [BigBeluga]🔵 OVERVIEW Regime Filter is a dual-factor trend condition tool combining price trend momentum and volume expansion into a single, easy-to-read visual framework. It quantifies recent trend direction and volume shifts, then shows them as: Two oscillator plots for Trend and Volume regimes Dynamic candle coloring for trend clarity A quadrant scatter map in your chart corner for immediate regime recognition. This filter helps traders quickly detect when a trend is healthy & confirmed by strong volume, or weakening & vulnerable due to low volume. 🔵 CONCEPTS Trend Oscillator: A loop-based trend value calculated by comparing the current smoothed price (HMA of HLC3) against its own trailing history. Positive values indicate trend-up regimes, negative values signal trend-down phases. Volume Oscillator: Similar loop logic but on smoothed volume (HMA of Volume) — highlighting whether trading activity is expanding or contracting relative to past bars. hma = ta.hma(hlc3, 15) vol = ta.hma(volume, 15) for i = 0 to len if hma > hma trend += 1 else trend -= 1 for i = 0 to len if vol > vol voltrend += 1 else voltrend -= 1 Regime Map Scatter Plot: A unique 2D quadrant displayed in the bottom-right corner. This shows where the market is sitting: > Top Right (green): Trend ↑ and Volume ↑ → strong confirmed up trend. > Top Left (red): Trend ↓ but Volume ↑ → strong sell momentum. > Bottom Right (blue): Trend ↑ but Volume ↓ → uptrend losing steam. > Bottom Left (yellow): Trend ↓ and Volume ↓ → weak bearish drift. Dynamic Candle Coloring: Candles are colored by trend only: green for uptrends, red for downtrends, and orange near reversals. Threshold Fills: The oscillator region is shaded green above +10 (healthy uptrend) and red below -10 (strong downtrend) for instant confidence. 🔵 FEATURES Normalized trend and volume values adapt automatically to your lookback length. Candlestick color overrides highlight current trend state in real-time. Clear zero-line and fill bands help you gauge strength vs. noise. Scatter regime dashboard updates live to track when trend and volume align or decouple. Color gradients show intensification or cooling in both oscillators and the regime map. 🔵 HOW TO USE Look for sustained positive trend and volume values to confirm strong directional moves. Watch for the scatter dot in the green square (top right) for high-confidence breakouts. If the dot drops to bottom right, uptrend may be tiring — possible exit zone. If the dot jumps top left, bearish drive is reinforced by heavy volume — caution on longs. Use the orange trend coloring as an early warning that trend pressure may be shifting. Combine with breakout levels or moving averages for a robust regime filter system. 🔵 CONCLUSION The Regime Filter distills price trend and volume dynamics into an actionable multi-mode display: oscillators, color-coded candles, and an intuitive scatter map. This all-in-one layout helps traders visually read market regime strength and spot fading trends before they turn — perfect for swing traders, intraday scalpers, and macro trend followers alike.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
19
Low Volatility Profiles [BigBeluga]🔵 OVERVIEW Low Volatility Profiles is a market compression and breakout-anticipation tool that identifies phases of low volatility using ADX and then builds a real-time volume profile inside the detected range. This helps traders spot accumulation/distribution zones and prepare for explosive moves when volatility expands. When volatility is low ➜ price coils ➜ volume organizes ➜ breakouts become highly actionable. This tool visualizes that process with dynamic range boxes + volume bins + PoC extension. 🔵 CONCEPTS Low-Volatility Detection — Uses ADX threshold & cross logic to define volatility contraction regimes. Range Construction — Draws a price box that expands with highs/lows during the compression phase. Micro Volume Profile — Builds a volume histogram inside the range using bins (micro volume nodes). Delta Calculation — Tracks positive vs negative volume to gauge buyer/seller pressure within range. Point of Control (PoC) — Highlights the price level with max traded volume inside the range. PoC Extension — Optionally extends PoC into future bars to show potential reaction zone after breakout. Breakout Validation — Ends the profile zone when price breaks above or below the modeled range. Noise Removal — Automatically removes invalid or small ranges to prevent chart clutter. This tool turns consolidation into actionable structure by exposing where smart money accumulates before trending moves. 🔵 FEATURES ADX-Driven Range Detection — Identify when market transitions into low-volatility compression. Configurable ADX Threshold — Set sensitivity for contraction zones. Cross-Type Option — Detect low volatility via cross under / crossover logic. Dynamic Range Box — Expands live with price as contraction unfolds. Micro Volume Profile (Bins) — Distributes volume across bins inside range for micro POC mapping. Volume Delta Visualization — Shows imbalance inside consolidation (accumulation vs distribution). Real-Time PoC Highlight — Instantly shows most traded price inside the compression. PoC Extension Mode — Extend PoC forward to project reaction levels post-breakout. Clean Auto-Reset Logic — Removes boxes if range invalid or breakout occurs too fast. Optional Filled Boxes — Heatmap-style profile visualization inside range body. ADX Line + Threshold Plot — Visual assistance for volatility state monitoring. 🔵 HOW TO USE Identify Accumulation Zones — When price enters low-volatility ADX condition and profile builds. Watch the PoC — PoC acts as battle zone; move above/below can signal initiator strength. Breakout Strategy — Trade break above/below the range after compression. Mean Reversion Inside Range — Fade edges while price remains inside compression box. Combine With Trend Tools — Use trend confirmation (MA/EMA/Flow indicators) after breakout. Use Delta Clues — Positive delta tilt suggests accumulation; negative suggests distribution. Monitor Range Size — Longer build + high PoC volume = stronger potential breakout energy. 🔵 CONCLUSION Low Volatility Profiles isolates accumulation phases and maps volume concentration before volatility expansion. By combining ADX compression, micro volume distribution, and PoC tracing, traders gain an edge in anticipating powerful breakout cycles and institutional positioning. Trade the quiet moment before the storm — where smart money prepares the move, and the real opportunity emerges.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
13
Fractals Trend [BigBeluga]🔵 OVERVIEW Fractals Trend is a trend-following overlay that leverages fractal swing points to define dynamic support and resistance zones. By storing and averaging recent high and low fractals, it determines trend direction and plots a smooth band that flips depending on market bias—displaying support during uptrends and resistance during downtrends . 🔵 CONCEPTS Fractal Swings: Fractals are identified using a customizable length. A high fractal forms when the current high is the highest in a range; a low fractal when the current low is the lowest. Fractal Memory: The indicator keeps a rolling window of recent high and low fractals inside arrays, limited by the user-defined storage quantity. switch upperF => FracrtalsUpper.push(high ) lowerF => FracrtalsLower.push(low ) FracrtalsUpper.size() > fCount => FracrtalsUpper.shift() FracrtalsLower.size() > fCount => FracrtalsLower.shift() Trend Detection: Price crossing above the average, min/max or median high fractals signals an uptrend; crossing below average, min/max or median low fractals signals a downtrend. Dynamic Band Plotting: Depending on the trend, the script plots the average of either the upper or lower fractals as a trailing support or resistance line. Visual Confirmation: Fractal labels appear as triangle markers at highs and lows, providing additional structural context. 🔵 FEATURES Automatically detects high and low fractals using customizable length. Stores a defined number of fractals to smooth out noise and reduce false signals. Flips trend bias dynamically with colored band and smooth transitions. Plots fractal-based support in bullish trends, resistance in bearish trends. Triangle markers show real-time fractal highs and lows. Fully configurable visuals, color themes, and fractal detection logic. Clean, non-intrusive overlay that works on any market or timeframe. 🔵 HOW TO USE Use the colored band as a directional filter: green = uptrend (support), orange = downtrend (resistance). Combine with entry signals or break/retest strategies when price approaches the band. Use triangle markers to confirm structural swing points. Adjust Fractals Length to tune sensitivity—shorter values detect quicker shifts, longer values reduce noise. Change the fractal bands type to adapt trend detection to different market conditions. Use in conjunction with momentum or volume tools for confluence. 🔵 CONCLUSION Fractals Trend offers a lightweight, intuitive way to track market bias using price structure alone. Its smart switching logic and clean visuals make it a powerful tool for trend traders seeking structure-based dynamic S/R—without laggy moving averages or overcomplicated signals.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
3
Directional Imbalance Index [BigBeluga]🔵 OVERVIEW The Directional Imbalance Index is designed to track market strength by counting how often price sets new highs or lows over a defined lookback period. Every time a bar forms a new extreme, the indicator records a +1 count for either bullish (highs) or bearish (lows). These counts are aggregated into a rolling calculation, allowing traders to see which side dominates and how directional imbalance evolves. 🔵 CONCEPTS Each new highest high → adds a bullish count (+1). Each new lowest low → adds a bearish count (+1). Counts are stored inside arrays over a user-defined Calculation Period . for i = 0 to period-1 h = high l = low if h == upper countUp.push(1) if l == lower countDn.push(1) The balance between bullish and bearish counts highlights dominance and imbalance. Normalized percentages help compare both sides (e.g., 65% bullish vs 35% bearish). 🔵 FEATURES Counts new highs/lows over a chosen Highest/Lowest Length . Aggregates values over a rolling Calculation Period . Plots cumulative bullish vs bearish totals in the subchart. Displays % share of bulls vs bears from total counts. On-chart labels mark bars where a count was added. Plots reference lines of the current upper (high) and lower (low) ranges. Dynamic fill between bullish/bearish plots to visualize which side dominates. 🔵 HOW TO USE Look for persistent bullish imbalance (bull % > bear %) as confirmation of upward momentum. Look for persistent bearish imbalance (bear % > bull %) as confirmation of downward momentum. Watch for shifts in % dominance — often early signs of trend reversal or weakening strength. Use labels on the chart to visually confirm which bars contributed to directional bias. Combine with trend or volume tools to confirm whether imbalance aligns with market direction. 🔵 CONCLUSION The Directional Imbalance Index offers a systematic way to measure directional pressure. By counting how often price pushes into new territory, the indicator reveals whether bulls or bears are taking control. This makes it a valuable tool for detecting early signs of trend continuation or exhaustion, helping traders align with the side most likely to dominate.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
7
Swing Traces [BigBeluga]🔵 OVERVIEW The Swing Traces indicator identifies significant swing points in the market and extends them forward as fading traces. These traces represent the memory of recent highs and lows, showing how price interacts with past turning points over time. Traders can use the fading intensity and breakout signals to gauge when a swing has lost influence or when price reacts to it again. 🔵 CONCEPTS Swing Detection – Detects recent upper and lower swing points using sensitivity-based highs and lows. Trace Longevity – Each swing projects a “trace” forward in time, gradually fading with age until it expires. Trace Size – Each trace is drawn with both a main level and a size extension (half of the bar range) to highlight swing influence. Longevity Counters – Swings remain active for a customizable number of bars before fading out or being crossed by price. Swing Retest – Labels appear when price retest above/below an active trace extension levels, confirming potential reversal. 🔵 FEATURES Adjustable sensitivity length for swing detection. Separate longevity controls for upper and lower swing traces. Fading gradient coloring for visualizing how long a trace has been active. Double-trace plotting: one at the swing level and one offset by trace size. Clear BUY/SELL signals when price crosses a swing trace after it has matured. 🔵 HOW TO USE Use blue (upper) traces as resistance zones; lime (lower) traces as support zones. Watch for fading traces: the longer they persist, the weaker their influence becomes. Retest dots (●) confirm when price retest a trace, signaling a potential reversal. Shorter sensitivity values detect faster, smaller swings; longer values capture major swing structures. Combine with trend indicators or volume to filter false breakout signals. 🔵 CONCLUSION The Swing Traces indicator is a powerful tool for mapping price memory. By projecting recent swing highs and lows forward and fading them over time, it helps traders see where price may react, consolidate, or break through with strength. Its dynamic traces and breakout labels make it especially useful for swing traders, breakout traders, and liquidity hunters.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
7
Dynamic Liquidity HeatMap Profile [BigBeluga]🔵 OVERVIEW The Dynamic Liquidity HeatMap Profile is a smart-flow liquidity tracker that maps where stop-loss clusters and resting limit orders are likely positioned. Instead of traditional volume profiles based only on executed transactions, this tool projects probable liquidity pools — areas where traders are trapped or positioned and where smart money may hunt stops or fill orders. It dynamically scans recent price swings, builds liquidity zones above and below price, and visualizes them as a heat map + histogram — highlighting areas with the greatest liquidity attraction. Orange highlights the highest-concentration liquidity (POC), making potential sweep targets obvious. 🔵 CONCEPTS Liquidity pools form above swing highs (buy stops) and below swing lows (sell stops). Market makers & large players often push price into these zones to trigger stops and capture liquidity. The indicator uses recent volatility + volume expansion to estimate where these pools exist. Horizontal heat bars show depth and intensity of probable liquidity. Profile side histogram displays buy-side vs sell-side liquidity distribution. 🔵 FEATURES Dynamic Liquidity Detection — finds potential stop-loss clusters from recent swing behavior. Dual-Side Heatmap — split liquidity view above (short stops) and below (long stops) current price. Volume-Weighted Levels — higher volatility & volume = deeper liquidity expectation. Real-Time Heat Coloring • Lime = liquidity below price (potential buy-side fuel) • Blue = liquidity above price (potential sell-side fuel) • Orange = peak liquidity (POC) Liquidity Profile Histogram — plotted at right side, layered by strength. Auto-Cleaning Engine — removes invalidated liquidity after breaks. Adjustable lookback window and bin resolution . 🔵 HOW TO USE Look for price moving toward dense liquidity zones — high probability of wick raids or sweeps. Orange POC often acts as magnet — strong target zone for smart money. Combine with SFP / BOS logic to time reversals after liquidity hunts. In trend, price repeatedly sweeps opposite-side liquidity before continuation. Use liquidity walls as bias filters — heavy liquidity above often precedes downward move, and vice-versa. Great for scalping sessions, indices, FX, BTC, ETH. 🔵 CONCLUSION The Dynamic Liquidity HeatMap Profile gives traders a tactical edge by revealing where the market’s hidden liquidity resides. It highlights where shorts and longs are positioned, identifies likely sweep zones, and marks the most attractive liquidity magnet (POC). Use it to anticipate stop hunts, avoid getting trapped, and align with smart-money flow instead of fighting it.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
51
Trend Pivots Profile [BigBeluga]🔵 OVERVIEW The Trend Pivots Profile is a dynamic volume profile tool that builds profiles around pivot points to reveal where liquidity accumulates during trend shifts. When the market is in an uptrend , the indicator generates profiles at low pivots . In a downtrend , it builds them at high pivots . Each profile is constructed using lower timeframe volume data for higher resolution, making it highly precise even in limited space. A colored trendline helps traders instantly recognize the prevailing trend and anticipate which type of profile (bullish or bearish) will form. 🔵 CONCEPTS Pivot-Driven Profiles : Profiles are only created when a new pivot forms, aligning liquidity analysis with market structure shifts. Trend-Contextual : Profiles form at low pivots in uptrends and at high pivots in downtrends. Lower Timeframe Data : Volume and close values are pulled from smaller timeframes to provide detailed, high-resolution profiles inside larger pivot windows. Adaptive Bin Sizing : Bin size is automatically calculated relative to ATR, ensuring consistent precision across different markets and volatility conditions. Point of Control (PoC) : The highest-volume level within each profile is marked with a PoC line that extends until the next pivot forms. Trendline Visualization : A wide, semi-transparent line follows the rolling average of highs and lows, colored blue in uptrends and orange in downtrends. 🔵 FEATURES Pivot Length Control : Adjust how far back the script looks to detect pivots (e.g., length 5 → profiles cover 10 bars after pivot). Pivot Profile toggle : On → draw the filled pivot profile + PoC + pivot label. Off → hide profiles; show only PoC level (clean S/R mode). Trend Length Filter : Smooths trendline detection to ensure reliable up/down bias. Precise Volume Distribution : Volume is aggregated into bins, creating a smooth volume curve around the pivot range. PoC Extension : Automatically extends the most active price level until a new pivot is confirmed. Profile Visualization : Profiles appear as filled shapes anchored at the pivot candle, colored based on trend. Trendline Overlay : Thick, semi-transparent trendline provides visual guidance on directional bias. Automatic Cleanup : Old profiles are deleted once they exceed the chart’s capacity (default 25 stored profiles). 🔵 HOW TO USE Spotting Trend Liquidity : In an uptrend, monitor profiles at low pivots to see where buyers concentrated. In downtrends, use high-pivot profiles to spot sell-side pressure. Watch the PoC : The PoC line highlights the strongest traded level of the pivot structure—expect reactions when price retests it. Anticipate Trend Continuation/Reversal : Use the trendline (blue = bullish, orange = bearish) together with pivot profiles to forecast directional momentum. Combine with HTF Context : Overlay with higher timeframe structure (order blocks, liquidity zones, or FVGs) for confluence. Fine-Tune with Inputs : Adjust Pivot Length for sensitivity and Trend Length for smoother or faster trend shifts. 🔵 CONCLUSION The Trend Pivots Profile blends pivot-based structure with precise volume profiling. By dynamically plotting profiles on pivots aligned with the prevailing trend, highlighting PoCs, and overlaying a directional trendline, it equips traders with a clear view of liquidity clusters and directional momentum—ideal for anticipating reactions, pullbacks, or breakouts.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
9
Pivot Trend Flow [BigBeluga]🔵 OVERVIEW Pivot Trend Flow turns raw swing points into a clean, adaptive trend band. It averages recent pivot highs and lows to form two dynamic reference levels; when price crosses above the averaged highs, trend flips bullish and a green band is drawn; when it crosses below the averaged lows, trend flips bearish and a red band is drawn. During an uptrend the script highlights breakouts of previous pivot highs with ▲ labels, and during a downtrend it flags breakdowns of previous pivot lows with ▼ labels—making structure shifts and continuation signals obvious. 🔵 CONCEPTS Pivot-Based Averages : Recent pivot highs/lows are collected and averaged to create smoothed upper/lower reference levels. if not na(ph) phArray.push(ph) if not na(pl) plArray.push(pl) if phArray.size() > avgWindow upper := phArray.avg() phArray.shift() if plArray.size() > avgWindow lower := plArray.avg() plArray.shift() Trend State via Crosses : Close above the averaged-highs ⇒ bullish trend; close below the averaged-lows ⇒ bearish trend. Trend Band : A colored band (green/red) is plotted and optionally filled to visualize the active regime around price. Structure Triggers : In bull mode the tool watches for prior pivot-high breakouts (▲). In bear mode it watches for prior pivot-low breakdowns (▼). 🔵 FEATURES Adaptive Trend Detection from averaged pivot highs/lows. Clear Visuals : Green band in uptrends, red band in downtrends; optional fill for quick read. Breakout/Breakdown Labels : ▲ marks breaks of previous pivot highs in uptrends ▼ marks breaks of previous pivot lows in downtrends Minimal Clutter : Uses compact lines and labels that extend only on confirmation. Customizable Colors & Fill for trend states and band styling. 🔵 HOW TO USE Pivot Length : Sets how swing points are detected. Smaller = more reactive; larger = smoother. Avg Window (pivots) : How many recent pivot highs/lows are averaged. Increase to stabilize the band; decrease for agility. Read the Band : Green band active ⇒ prioritize longs, pullback buys toward the band. Red band active ⇒ prioritize shorts, pullback sells toward the band. Trade the Triggers : In bull mode, ▲ on a prior pivot-high break can confirm continuation. In bear mode, ▼ on a prior pivot-low break can confirm continuation. Combine with Context : Use HTF trend, S/R, or volume for confluence and to filter signals. Fill Color Toggle : Enable/disable band fill to match your chart style. 🔵 CONCLUSION Pivot Trend Flow converts swing structure into an actionable, low-lag trend framework. By blending averaged pivots with clean breakout/breakdown labels, it clarifies trend direction, timing, and continuation spots—ideal as a core bias tool or a confirmation layer in any trading system.
אינדיקטור Pine Script®
מאת ‎BigBeluga‎
9