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NFP Price Zones [LuxAlgo]The NFP Price Zones indicator provides a comprehensive statistical and visual toolkit for trading Non-Farm Payroll (NFP) releases. It analyzes historical volatility to project future price expansion zones based on the average market reaction to this high-impact news event. 🔶 USAGE The script is designed to help traders prepare for the extreme volatility associated with NFP releases. It automatically identifies the relevant Friday, tracks historical data, and projects expansion targets based on that data. 🔹 How to use Setup the Release Time: Ensure the NFP Release Hour and NFP Release Minute are set to the correct release time (default is 08:30 AM ET). Analyze Historical Zones: Look back at the highlighted boxes on the chart to identify how price usually clusters or expands during the release window. Use the Historical NFPs to Analyze input to adjust the sample size. Anticipate with Projections: Scroll to the right side of the chart to see the projected expansion lines. These levels represent the historical average move relative to current price action. Execution During News: As the NFP release approaches, the projection levels will "freeze" 30 minutes before the news. Use these levels as potential exhaustion points, take-profit targets, or breakout triggers. Monitor the Dashboard: Use the "To High/Low Exp" metrics to gauge how much of the "average move" price has already covered in real-time. 🔶 DETAILS 🔹 Frozen Anchor Logic To ensure the projected levels are actionable during the news event, the script employs a "Frozen Anchor" logic. While the market is trending toward the NFP event, the projection levels move dynamically with price. However, exactly 30 minutes before the specified release time, the anchor point locks (freezes). This creates static support and resistance zones that remain fixed throughout the news window, allowing you to measure the reaction against historical norms. 🔹 Dashboard Explained Avg Range/Max Range: Statistical average and peak volatility of NFPs in the lookback period. Avg Up/Dn Exp: The average distance price moved above or below the pre-news open price. Countdown: Time remaining until the next release. Switches to EVENT LIVE during the window. To High/Low Exp: Real-time distance in pips from current price to the projected expansion levels. This indicator is fully compatible with Bar Replay , allowing traders to backtest NFP reactions and see how the projections update dynamically relative to historical dates. 🔶 SETTINGS 🔹 Calculations Historical NFPs to Analyze: Number of past NFP events to include in the statistical average. NFP Release Hour (24h): The hour the news is released (e.g., 8 for 08:00 AM). NFP Release Minute: The minute the news is released. 🔹 Visuals Show Historical Zones: Toggles the visibility of boxes around previous NFP events. Zone Color: Sets the color for the historical NFP boxes. 🔹 Dashboard Dashboard: Toggles the visibility of the statistics table. Position: Determines where the dashboard is placed on the chart. Size: Controls the text and cell size of the dashboard.
Indicateur Pine Script®
par LuxAlgo
1
Liquidity Clusters Magnitude [LuxAlgo]The Liquidity Clusters Magnitude indicator quantifies the intensity of dynamic support and resistance zones by counting the number of candle wick "touches" at the most inclusive liquidity levels within a rolling window. This enhanced version includes smoothing, a trend-following metric, and a real-time dashboard to provide a comprehensive view of historical rejection density. 🔶 USAGE The indicator plots three primary metrics on a centered oscillator to represent liquidity dynamics: Bullish Magnitude (Green): Represents the concentration of lower wicks touching the support cluster level. A higher value indicates strong buying pressure or rejection at that level. Bearish Magnitude (Red): Represents the concentration of upper wicks touching the resistance cluster level. A higher negative value indicates strong selling pressure or rejection. Trend Metric (Blue): A composite line moving between the two areas, representing the net bias between bullish and bearish liquidity. It helps traders identify the prevailing "side" of the market's liquidity interest. Traders can identify significant liquidity events when the magnitude metrics spike beyond the Magnitude Threshold . These events are highlighted by Signal Dots on the oscillator lines. A real-time Dashboard provides a summary of current magnitudes and the overall "Trend State." The vertical gradient fills provide a clear "heat map" effect, where the intensity of the color represents the density of the liquidity cluster, fading out as values approach the zero line. 🔶 DETAILS The script uses mathematical constraints to ensure the identified levels represent true historical "clusters": 🔹 Body-Crossing Constraint Liquidity levels are strictly constrained to remain outside the highest and lowest candle bodies within the window. This ensures they represent price points reached but not sustained by a close, focusing purely on wick-based rejection. 🔹 Smoothing & Thresholds To filter out noise, the magnitude metrics are smoothed using a moving average. Threshold lines are included to define what constitutes a "significant" cluster, preventing false signals from minor wick touches and providing clear breakout points for liquidity expansion. 🔹 Trend Analysis By calculating the difference between bullish and bearish magnitudes, the Trend Metric captures the shift in liquidity focus. This helps traders spot reversals or continuations before they manifest as large price moves by showing which side of the range is seeing more frequent rejection. 🔶 SETTINGS Window Size: The lookback period for identifying clusters. Larger values identify major historical levels; smaller values focus on local liquidity. Smoothing: Controls the responsiveness of the oscillator lines. Magnitude Threshold: Sets the bar for identifying significant liquidity events and triggering signal dots. Visuals: Customize the colors for bullish, bearish, and trend metrics, as well as the visibility of signal dots. Dashboard: Enable/disable the status table and adjust its position and size.
Indicateur Pine Script®
par LuxAlgo
Momentum Cycle Sentry [LuxAlgo]The Momentum Cycle Sentry indicator is a comprehensive momentum visualization tool designed to identify trend cycles, measure volatility extremes, and precisely track retracement phases through a unique multi-layered symmetric architecture. 🔶 USAGE The indicator provides a high-fidelity view of market "flow" by mirroring price momentum across a zero line, creating a symmetric "cloud" whose width represents the intensity of the current move. It is primarily used to distinguish between strong trending expansion and temporary pullback cycles. 🔹 Trend Identification Bullish Momentum: The oscillator cloud appears above and below the zero line in a teal (bullish) color. Bearish Momentum: The oscillator cloud appears in a coral (bearish) color. Width: An expanding cloud indicates increasing velocity, while a thinning cloud suggests a squeeze or waning interest. 🔹 Momentum Cycle Tracing One of the core features of this tool is the Neon Path logic. When the indicator detects that momentum is cooling off against the prevailing trend (a retracement cycle): The background cloud and candle colors dim to signify a "resting" phase in the market. A Triple-Layer Glow activates directly on the oscillator's curve, making the retracement segments "light up" in a high-intensity version of the trend color. This glow uses graduated transparency to create a neon-like halo, visualizing the exact path of the pullback as it moves toward the zero line. Cross (X) markers appear on the zero line to provide a horizontal anchor for the duration of the retracement period. 🔹 Extreme Zones The indicator features dynamic Overbought (OB) and Oversold (OS) corridors. When the oscillator enters these shaded gradient zones, the trend cycle is considered overextended. Traders can look for the oscillator to curve back toward the zero line as a sign of potential exhaustion or mean reversion. 🔶 DETAILS 🔹 Layered Oscillator Architecture The script utilizes five distinct layers of Exponential Moving Average (EMA) smoothing applied to a base momentum calculation. This creates a "glow" effect where the inner core reacts to immediate price action while the outer layers represent the broader trend. The symmetric mirroring ensures that the visual weight of the momentum is balanced, making it easier to perceive the total "volume" of the move regardless of direction. 🔹 Dynamic Volatility Corridors Unlike traditional oscillators with fixed levels (e.g., 70/30), the Momentum Cycle Sentry uses standard deviation-based bands that adapt to current market volatility. This ensures that the overbought and oversold thresholds are relevant to the specific asset and timeframe being traded. 🔶 SETTINGS 🔹 Settings Base Length: Sets the lookback period for the underlying momentum calculation. Smoothing: Determines the base EMA smoothing for the multi-layered layers. Magnitude: A multiplier to scale the vertical height of the oscillator. Retracement Sensitivity: Adjusts how quickly the script detects a pullback/retracement cycle on the curve. 🔹 Extreme Zones OB/OS Lookback: The period used for the standard deviation calculation of the volatility bands. Inner Multiplier: Sets the threshold for the start of the OB/OS corridor. Outer Multiplier: Sets the threshold for the outer edge of the OB/OS corridor (historical extreme). 🔹 Visuals Bullish/Bearish Color: Customizes the colors for uptrends and downtrends. Base Transparency: Adjusts the transparency of the layered cloud effect. Color Candles: Toggles the synchronization of price chart candles with the oscillator's momentum state.
Indicateur Pine Script®
par LuxAlgo
1
Liquidity Structure & Order Flow [LuxAlgo]The Liquidity Structure & Order Flow indicator is a comprehensive technical tool that visualizes market depth through volume distribution, order flow delta, and liquidity voids. It aims to provide traders with a high-fidelity view of where market participants are most active and where price is likely to find support, resistance, or rapid acceleration. 🔶 USAGE The tool combines traditional volume profiling with modern visualization to identify market imbalances. By projecting liquidity depth directly onto the chart, users can observe the "weight" of the market at various price levels. 🔹 Identification and Strategy Identify Fair Value: Use the Value Area (VAH to VAL) to determine where the majority of trading has occurred. Price trading within this zone suggests a balanced market, while a breakout from this area often signals the start of a new trend. Spot Absorption: Look for high Volume Delta (bright green or red intensities) near the edges of the Value Area. If price fails to move further despite high delta, it suggests absorption by limit orders. Anticipate Volatility: Use the Widest Void zones to identify "liquidity gaps." Price often moves rapidly through these areas due to a lack of historical orders, making them ideal targets for take-profits or entry triggers. Confirm Reversals: Unusual Volume Bubbles appearing at key structural levels (like the POC or VA extremes) can signal climatic action or the entry of institutional players. 🔹 Unusual Volume Bubbles These bubbles identify extreme market events using a Z-Score calculation based on a 200-period volume baseline. A Smart Lane Anti-Overlap System ensures that multiple volume spikes occurring in quick succession do not obscure one another by stacking them in dynamic lanes. Larger bubbles with glow effects indicate higher statistical outliers, highlighting where "smart money" may be entering the market. 🔹 Volume Delta Backdrop The **Volume Delta Panel** calculates the net difference between buying and selling pressure (Aggressive Delta) within each price bin of the Value Area. It uses an EMA-smoothed volume delta to filter noise, rendering higher intensities when one side of the market is significantly more aggressive than the other at a specific price level. 🔶 DETAILS 🔹 Widest Void Analysis The script includes an automated logic to identify the "Widest Void." This is calculated by scanning the volume profile for the longest continuous sequence of price bins where volume falls below a specific threshold (15% of the Point of Control volume). In market auction theory, these voids represent areas where price discovery was inefficient. Because there is little "historical friction" in these zones, price tends to traverse them quickly, acting as a vacuum between high-liquidity nodes. 🔹 Dynamic Volume Ribbons At the leading edge of the indicator, two cumulative polylines project the volume distribution of the upper and lower halves of the lookback range. The Upper Ribbon (Red) represents the volume distribution above the price midpoint, while the Lower Ribbon (Green) represents the distribution below it. 🔶 SETTINGS 🔹 Volume Profile Settings Lookback Period: The number of historical bars used to calculate the profile. Weight Recent Volume: When enabled, recent volume data has a higher impact on the profile shape. Value Area %: Defines the percentage of total volume used to calculate the VAH and VAL. Profile Smoothing: Adjusts the visual "noise" of the heatmap. 🔹 Volume Delta Backdrop Show Volume Delta Panel: Toggles the Delta distribution within the Value Area. Delta Intensity: Controls color saturation based on the magnitude of the delta. Delta Smoothing Length: The EMA length used to calculate the volume delta flow. 🔹 Unusual Volume Bubbles Sensitivity (Z-Score): The number of standard deviations required to trigger a bubble. Min/Max Bubble Size: Sets the visual constraints for the volume spikes. 🔹 Visualization & Dashboard Show Heatmap: Toggles the background liquidity heatmap. Highlight Widest Void: Toggles the detection and labeling of the primary liquidity gap. Curves X-Offset: Moves the polyline ribbons further into the future. Dashboard: Toggles the on-screen table containing metrics such as Mass Skew, Dist. to POC, and Aggregated Delta.
Indicateur Pine Script®
par LuxAlgo
5
Hot Zone Radar [LuxAlgo]The Hot Zone Radar indicator is a sophisticated market liquidity visualization tool that combines a dynamic thermal heatmap dashboard with gradient-mapped support and resistance zones. It aims to provide traders with a real-time "weather map" of price density, identifying where the market is likely to find high-volume friction or low-volume "vacuum" gaps. 🔶 USAGE The indicator features a dual-component interface: a high-resolution "Radar" dashboard and on-chart "Glow Zones." The Radar Dashboard The dashboard displays a historical matrix of volume distribution. Unlike a static volume profile, the radar shifts horizontally over time, allowing you to see how liquidity nodes have evolved. Price Trace: The current price path is plotted directly onto the heatmap using a series of markers (●) ending in a "Current" pointer (▶). This allows you to see exactly where price is relative to historical "Hot" (High Volume) and "Cold" (Low Volume) zones. Color Scale: The heat map transitions from Deep Blue/Cyan (Cold/Low Liquidity) to Bright Red (Hot/High Liquidity). Market Status: A simplified status bar at the bottom provides immediate context: HOT: Price is currently oscillating within a major liquidity hub. WARM: Price is trending toward a high-volume area. COLD: Price is in a low-volume "vacuum," often associated with fast breakout movements. STABLE: Price is moving through neutral, average volume areas. 🔹 On-Chart Gradient S/R The script automatically identifies the most significant "Hot Zones" from the profile and projects them onto the chart as gradient-filled boxes. These zones act as dynamic support and resistance. When price enters a zone, the gradient shifts color to indicate active interaction, signaling a potential reversal or consolidation point. 🔶 DETAILS The core logic relies on a rolling Volume Profile engine that feeds into a 2D History Matrix. Thermal Data Engine The script calculates volume distribution across a user-defined price range (Resolution). As new bars form, the oldest volume data is "aged out," and the matrix shifts. This creates the horizontal flow effect in the radar, showing not just where volume is, but how long it has been sitting at those levels. Diffusion Blur To ensure the heatmap is readable and aesthetic, a "Diffusion Blur" algorithm is applied to the matrix. This smooths out jagged volume spikes into cohesive "thermal clouds," making it easier to identify significant structural zones versus noise. 🔶 SETTINGS 🔹 Radar Logic Profile Lookback: The number of bars used to calculate the volume distribution. Resolution (Heatmap Grid): Controls the number of vertical bins and horizontal steps in the radar. Higher values provide more detail but require more processing. Diffusion Blur: Adjusts the smoothness of the heatmap colors. Intensity Gamma: Controls the sensitivity of the color gradient; lower values make "Hot" zones appear more easily. 🔹 Support/Resistance Zones Show Gradient S/R Zones: Toggles the on-chart liquidity boxes. S/R Sensitivity %: Determines the volume threshold required to trigger a zone. Higher percentages show only the most intense liquidity hubs. Gradient Steps: Sets the number of layered boxes used to create the "glow" effect. 🔹 Dashboard Styling Position: Choose between Top Right, Bottom Right, or Bottom Left. Overall Panel Size: Scales the entire UI (text and grid) to fit your screen resolution.
Indicateur Pine Script®
par LuxAlgo
3
Consecutive Candle Streak Analysis [LuxAlgo]The Consecutive Candle Streak Analysis indicator provides an empirical framework for quantifying consecutive price trends by tracking streaks based on consecutive positive or negative returns. The tool benchmarks current market behavior against a comprehensive historical lookback to identify potential exhaustion points and mathematical reversal probabilities. 🔶 USAGE This tool is optimized for high-timeframe analysis including Daily, Weekly, Monthly, and Quarterly intervals. Traders can use the dashboard to assess if a move is statistically overextended by comparing the current percentage change to the Max and Avg Stage outcomes. When a trend enters uncharted territory, the script triggers an UNPRECEDENTED alert, signaling that current price action has no historical parallel in the selected lookback. 🔹 Historical Benchmarking The indicator automatically identifies every historical occurrence of a streak matching or exceeding the current length. Visual highlight boxes are projected over these historical matches, illustrating the absolute high and low ranges reached during those specific periods. 🔹 Statistical Analysis The segmented dashboard provides real-time calculations for both Continuation and Reversal probabilities based on historical frequency distributions. It compares the current percentage move to historical performances at the exact same streak duration and displays the date of the longest detectable historical streak for institutional context. 🔶 DETAILS The script processes historical bars to identify "completed streaks" where price has moved in a consistent direction (Close vs Previous Close). By storing these events in an array, the script can provide a granular comparison between the current active streak and every similar event in the past. This allows for a stage-by-stage analysis of how price typically behaves once a certain streak length is achieved. 🔶 SETTINGS Max Historical Streaks : Adjusts the depth of the historical buffer used for benchmarking calculations. Highlight Historical Matches : Toggles the visibility of visual highlight boxes and their respective directional length labels. Show 'Length & Longer' Stats : Adds an expanded dashboard section detailing the eventual outcomes of similar historical trends. Dashboard : Toggles the visibility of the statistical dashboard. Position : Determines the anchor point of the dashboard on the chart. Size : Adjusts the text and table scale for different screen resolutions.
Indicateur Pine Script®
par LuxAlgo
Sector Correlation Matrix [LuxAlgo]The Sector Correlation Matrix indicator provides a quantitative measure of the statistical relationship between a selected asset and a benchmark to help traders identify market synchronization and relative strength. 🔶 USAGE This tool is particularly useful for relative strength analysis. For example, if a stock is "Decoupled" while the benchmark is crashing, it may indicate idiosyncratic strength. Conversely, traders can use "Strong Positive" states to confirm that a price move is part of a broader market trend rather than an isolated event. The indicator categorizes market relationships into five distinct states based on the coefficient value: Strong Positive (> 0.7): High degree of synchronization; the assets move together closely. Moderate Positive (> 0.3): General tendency to move in the same direction. Decoupled / Neutral (-0.3 to 0.3): No significant linear relationship; the asset is moving independently. Moderate Negative (< -0.3): General tendency to move in opposite directions. Strong Negative (< -0.7): High degree of inverse synchronization. 🔶 DETAILS The script utilizes the Pearson Correlation Coefficient to calculate the rolling correlation between the current chart's closing price and a user-defined benchmark (such as SPY, QQQ, or BTC). This statistical method measures the linear correlation between two sets of data, resulting in a value between -1 (perfect inverse correlation) and 1 (perfect positive correlation). The visual output includes a dedicated pane with a correlation oscillator and an on-screen dashboard that provides real-time metrics, allowing for a quick assessment of the current market state without manually comparing multiple charts. // Core Calculation Logic correlationValue = ta.correlation(close, benchClose, corrLenInput) 🔶 SETTINGS 🔹 Logic Settings Benchmark Asset: The ticker symbol to compare the current asset against (e.g., SPY, QQQ, BTCUSDT). Correlation Length: The lookback period used to calculate the Pearson Correlation Coefficient. 🔹 Dashboard Show Dashboard: Enable or disable the on-screen information table. Position: Select the dashboard location (Top Right, Bottom Right, or Bottom Left). Size: Adjust the size of the dashboard text and cells (Tiny to Huge).
Indicateur Pine Script®
par LuxAlgo
HTF Candle Dynamics [LuxAlgo]The HTF Candle Dynamics indicator provides traders with a comprehensive view of Higher Timeframe (HTF) price action and volume distribution directly on their lower timeframe charts. By projecting the current developing HTF candle and its internal volume characteristics to the right of the price, users can maintain high-level context without switching tabs. Note: Ensure the chart timeframe is lower than the selected HTF setting for the indicator to function correctly. 🔶 USAGE This tool is designed to bridge the gap between execution timeframes and higher-level market structures. It is particularly useful for scalpers and day traders who need to stay aware of Daily or Weekly levels while trading on 1-minute or 5-minute charts. 🔹 HTF Candle Projection Visualizes the current HTF period (e.g., Daily, Weekly) as a dynamic candle on the right side of the chart. It includes projections for the HTF Open, High, Low, and Close levels. These levels often act as significant psychological barriers where price might find support or resistance. 🔹 Intraday Volume Profile Generates a volume profile specifically for the current HTF period. This allows traders to see where the most volume is being transacted within the developing candle. Identifying "High Volume Nodes" within the current HTF candle can signal where institutional interest is concentrated. 🔹 Dynamic POC Tracking A polyline tracks the movement of the Point of Control (POC) throughout the HTF period, showing how the most traded price level has shifted over time. If the POC is trending upward alongside price, it confirms a healthy bullish trend; if price moves away from a static POC, it might indicate a potential mean reversion back to that high-volume level. 🔹 How to Use Traders can utilize this indicator to align their intraday trades with the broader market direction: Identifying Value : Use the Intraday Volume Profile to spot the Point of Control. If the price is trading above the POC, the market is currently in a premium zone for that HTF. If it is below, it may be considered "discounted" relative to the volume transacted so far. Breakout Confirmation : When price breaks the High or Low of the projected HTF candle, traders look for volume expansion within the profile to confirm if the breakout has significant participation. Mean Reversion : The Dynamic POC line acts as a magnet. If price overextends significantly from the POC line, traders often look for signs of exhaustion to play a move back toward the high-volume area. 🔶 DETAILS The indicator uses security calls to fetch historical HTF data while calculating the current developing period in real-time. A dedicated status table ensures the selected HTF is valid relative to the chart timeframe to prevent calculation errors. 🔹 History Dashboard The dashboard provides a statistical breakdown of the previous three HTF candles (T-1, T-2, T-3). This is crucial for "Contextual Trading." By seeing the OHLC values and Volume Delta of the previous periods, you can determine if the market is experiencing "Expansion" (increasing volume and candle size) or "Contraction" (decreasing volume and tighter ranges). 🔹 Volume Delta The Volume Delta shown in the history dashboard is an approximation calculated by summing volume based on the direction of individual intraday candles. 🔶 SETTINGS HTF Setting : Defines the timeframe for the candle projection and volume profile (default is "D"). Right Offset : Adjusts the horizontal position of the projected candle and labels to avoid overlapping with price. Visuals : Full control over bullish/bearish colors, POC lines, and projection offsets. Volume Profile : Toggle the profile visibility and customize the number of rows or the maximum width of the bars. History Dashboard : Toggle the history dashboard and adjust its position (Top Right, Bottom Right, etc.) or size.
Indicateur Pine Script®
par LuxAlgo
Luminance Breakout Engine [LuxAlgo]The Luminance Breakout Engine indicator is a high-performance momentum oscillator designed to identify institutional breakout zones and trend transitions through multi-timeframe analysis and adaptive volatility thresholds. 🔶 USAGE The indicator functions as a comprehensive momentum "engine," mapping price velocity across four different timeframes into a single composite oscillator. It identifies high-probability breakout zones by monitoring when this composite momentum breaches adaptive volatility bands. 🔹 Luminance Glow Zones When the oscillator enters the "Glow" zones (beyond the dotted thresholds), it indicates an extreme momentum breakout. These zones are often the precursor to sustained trends or significant institutional expansions. The oscillator changes color to a neon glow to highlight these high-intensity moves. 🔹 Institutional Order Blocks At the exact moment a "Glow" breakout is triggered, the engine identifies the origin candle of that move and plots a Luminance Order Block (OB) on the price chart. These blocks represent areas where institutional liquidity was likely deployed to start the move. 🔹 Volume Breakdown Stats Each Order Block features a unique "Volume Split" dashboard on the right edge. This provides a percentage-based breakdown of Bullish vs. Bearish volume during the five bars leading up to the breakout, helping traders understand the quality of the move's participation. 🔶 DETAILS The script utilizes a weighted Composite Rate of Change (ROC) calculation across four periods (Fast, Medium, Slow, and Macro). This ensures that the oscillator only reaches extreme "Glow" levels when momentum is synchronized across multiple time-horizons. The thresholds are not static; they use a standard deviation of the oscillator's own history to create an adaptive "envelope." This allows the indicator to remain sensitive during low-volatility periods while filtering out noise during highly volatile market conditions. The Order Blocks remain active on the chart until "mitigated" (when a candle closes through the zone). Once mitigated, the internal volume data is cleared, and the zone becomes a dotted historical reference. 🔶 SETTINGS 🔹 Oscillator Settings Fast/Medium/Slow/Macro Period: The lookback periods used for the multi-timeframe composite ROC calculation. Smoothing: The EMA length applied to the final oscillator to reduce noise. 🔹 Visual Settings Threshold Multiplier: Controls the sensitivity of the breakout "Glow" zones. Higher values require more extreme momentum to trigger. Show Base Heatmap: Toggles the gradient fill between the zero line and the signal. Show Threshold Glow: Toggles the neon fills that appear during volatility breakouts. 🔹 Order Blocks Show Luminance OBs: Enables the plotting of institutional zones on the price chart. Max OBs per Side: Limits the number of active/historical zones to keep the chart clean. Show Volume Stats: Toggles the B:XX% ┃ S:YY% volume breakdown labels. Label Offset: Shifts the statistics labels to the right to prevent overlap with price action. Label Size: Adjusts the text size of the volume statistics (Tiny, Small, Normal, Large). 🔹 Color Settings Momentum Colors: Sets the primary colors for bullish and bearish trends. Glow Colors: Sets the high-intensity colors used during breakout phases. Zero Line Color: Customizes the appearance of the central equilibrium line.
Indicateur Pine Script®
par LuxAlgo
1
Multi-Horizon Volatility Waterfall [LuxAlgo]The Multi-Horizon Volatility Waterfall indicator is a quantitative tool that visualizes market volatility as a multi-layered spectrum across ten distinct time horizons. By normalizing Average True Range (ATR) using percentile ranking, the script identifies volatility clusters and regime shifts, providing a comprehensive "heat map" of market expansion and compression directly on the price chart and in a dedicated oscillator pane. 🔶 USAGE The indicator provides a holistic view of volatility by stacking different lookback periods—from "Fast" (micro-bursts) to "Slow" (macro-shifts). This allows traders to observe how volatility "flows" through different timeframes, often signaling the inception of major trends before they are reflected in price action. 🔹 The Volatility Waterfall (Oscillator Pane) The bottom pane features ten horizontal ribbons representing different volatility horizons. Hot (Red): Indicates that current volatility is in the highest percentiles relative to its recent history for that specific horizon. Cold (Blue): Indicates a compression phase where volatility is historically low. Aggregate Line: A central line representing the average "heat" across all ten horizons, serving as a primary gauge for the overall market regime. 🔹 Main Chart Visuals The script projects its findings onto the main price chart through three primary features: Gradient Candles: When enabled, candles are colored based on the aggregate volatility heat, allowing for immediate identification of "hot" price action. Expansion Glow: A dynamic background highlight that "pulses" and fades based on the intensity of volatility expansion. The glow becomes more opaque as the market enters extreme expansion (Aggregate Heat > 70%). Pro Dashboard: A real-time data table providing the exact Aggregate Heat percentage, a Regime Classifier (Expansion, Neutral, or Compression), and the Fast/Slow Ratio. 🔶 HOW TO USE The Multi-Horizon Volatility Waterfall can be used to identify high-probability trading environments based on the "state" of market volatility. Identifying Squeeze Breakouts: Look for periods where all ten ribbons in the waterfall are "Cold" (Blue). This indicates a deep volatility compression across all time horizons. A sudden shift to "Hot" (Red) in the top (Fast) ribbons often precedes a powerful breakout. Trend Confirmation: In a trending market, volatility should ideally remain in the "Neutral" to "Hot" range. If price continues to move but the Waterfall turns "Cold" across the board, it may suggest the trend is losing participation and entering a distribution or consolidation phase. Volatility Clusters: When the Aggregate Heat exceeds 70%, the "Expansion Glow" appears on the main chart. This signifies a high-intensity market environment. Traders can use this to adjust risk management, as higher volatility typically requires wider stop-losses but offers greater reward potential. Mean Reversion: Extreme "Hot" readings across all ribbons (a full red waterfall) can sometimes signal an exhausted move. If price reaches a key resistance level while the Waterfall is at maximum heat, it may indicate a climax followed by a reversal or a period of sideways "cooling." 🔶 DETAILS The core methodology of the Waterfall is based on Percentile Rank Normalization . Standard volatility measures like ATR are difficult to compare across different assets or timeframes because their absolute values vary. By converting ATR into a percentile rank (0-100%) over a long-term lookback (e.g., 200 bars), the indicator creates a standardized "Heat" metric. Vertical Alignment: When all ten horizons turn red simultaneously, it indicates a "Volatility Cluster." This suggests that the expansion is occurring across all time horizons, often preceding a high-conviction breakout. Volatility Flow: Traders can watch for heat starting at the "Fast" (top) ribbons and moving down toward the "Slow" (bottom) ribbons. This "Waterfall" effect suggests that a short-term momentum burst is successfully transitioning into a sustained structural trend. 🔶 SETTINGS 🔹 Main Settings Base Horizon Step: The multiplier used to define the 10 horizons. If set to 10, the horizons will range from 10 to 100 periods. Percentile Lookback: The historical window used to determine the percentile rank of the current volatility. Smoothing: Applies an EMA to the volatility heat to reduce noise and provide a cleaner visual flow. 🔹 Visualization Cold/Hot Colors: Customizes the gradient colors for low and high volatility states. Color Candles by Volatility Heat: Toggles the gradient candle coloring on the main chart. Max Glow Intensity (%): Controls the maximum brightness of the background expansion glow to prevent it from overpowering the price action. 🔹 Dashboard Show Dashboard: Toggles the visibility of the real-time data table. Position/Size: Adjusts the location and scale of the dashboard on the chart interface.
Indicateur Pine Script®
par LuxAlgo
Monte Carlo Expected Move Distribution [LuxAlgo]The Monte Carlo Expected Move Distribution indicator is a statistical forecasting tool that uses Geometric Brownian Motion (GBM) to simulate hundreds of potential price paths, generating a vertical probability distribution to visualize where the market is mathematically expected to trade within a specific future timeframe. 🔶 USAGE The indicator provides a forward-looking "Expected Move" profile, a concept widely used in options trading to determine the implied range of an asset. It helps traders move away from single-line price predictions and toward a probabilistic understanding of market outcomes. 🔹 Setting Realistic Price Targets By looking at the vertical distribution at the end of the projection, traders can identify the "Median Outcome" (50th percentile). This represents the most likely price level based on current trend (drift) and volatility. Conservative Targets: Aim for levels within the highlighted "Expected Move" (1-SD) area. Aggressive Targets: Levels sitting in the "tails" (gray areas) are statistically less likely to be reached within the chosen timeframe. 🔹 Identifying Overextensions The dashed projection lines represent the upper (+1 SD) and lower (-1 SD) boundaries. Upper Expected Move: If price reaches this level ahead of the projection time, it is considered "overbought" relative to current volatility. Lower Expected Move: If price drops to this level rapidly, it is considered "oversold" from a statistical standpoint. 🔹 Understanding the Distribution Profile The vertical histogram (bins) at the right of the chart represents the density of the simulations. The widest part of the histogram shows the price zone where the highest number of simulated paths ended, indicating the highest mathematical probability for that price area. 🔶 HOW TO USE To use the indicator effectively, follow these steps to align the statistical model with your trading timeframe: Define Your Horizon: Adjust the "Projection Length" to match your trade duration (e.g., 20 bars for a swing trade or 5 bars for a scalp). The distribution will shift further into the future accordingly. Evaluate the Drift: Enable "Include Trend (Drift)" if you believe the current price momentum will persist. If you expect a sideways market or a "random walk," disable this setting to center the distribution on the current price. Analyze Probability Zones: Look at the colored region of the histogram. If your target price lies within this zone, there is a ~68% statistical probability (based on current volatility) of price reaching that area within the specified time. Risk Management: Use the Lower Expected Move (-1 SD) as a guide for stop-loss placement in long positions, as prices falling below this level represent an outlier move beyond normal volatility expectations. 🔶 DETAILS The script utilizes Monte Carlo Simulation via Geometric Brownian Motion. This model accounts for two primary factors: Log-Volatility: Derived from the standard deviation of historical log-returns, determining how "wide" the potential price swings are. Drift (Optional): An approximation of the current trend based on a moving average, providing a directional bias to the simulations. The "Expected Move" is defined as the 1-Standard Deviation range (the 16th to 84th percentiles). In a normal distribution, approximately 68% of all outcomes fall within this range. The indicator highlights this specific zone in color, while the outliers (the remaining 32%) are shown in a neutral gray. 🔶 SETTINGS 🔹 Monte Carlo Simulation Simulations: The number of paths to generate (50-500). Higher values result in a smoother, more accurate distribution profile. Projection Length: How many bars into the future the "Expected Move" is calculated for. Volatility Lookback: The period used to measure historical price fluctuations. Include Trend (Drift): When enabled, the distribution will lean toward the current trend direction. When disabled, it assumes a mean-neutral random walk. 🔹 Distribution Visuals Price Bins: The vertical resolution of the histogram. More bins allow for a more detailed view of the probability peaks. Distribution Color: Sets the color for the "Expected Move" (68% probability) zone. Max Distribution Width: Controls how many bars wide the histogram is drawn on the chart.
Indicateur Pine Script®
par LuxAlgo
Sweep Volume Index [LuxAlgo]The Sweep Volume Index indicator is a specialized volume analysis tool designed to measure the volume traded specifically during "sweeps" of liquidity levels like swing highs and swing lows. By utilizing intrabar data, the script provides a granular view of market participant activity at key technical levels where liquidity is often concentrated. Note: This indicator requires access to lower timeframe data. Ensure your chart has sufficient historical data for the intrabar timeframe selected. 🔶 USAGE The indicator helps traders identify if a breakout beyond a previous structural high or low is a genuine trend continuation or a liquidity grab (stop-run). 🔹 Identifying Reversals High sweep volume at a key level followed by a price rejection often signals a strong potential for a trend reversal. When the oscillator shows a large spike as price pierces a pivot level but fails to close beyond it, it suggests that "smart money" has absorbed the liquidity. 🔹 Trend Exhaustion Multiple sweeps appearing in succession with increasing volume but decreasing price extension can indicate trend exhaustion. The decaying envelopes in the oscillator pane help put these volume spikes into context relative to recent historical activity. 🔹 Liquidity Gaps Low sweep volume might suggest that price has cleared a level with very little resistance or participation, which can potentially lead to a fast continuation as there is no "absorption" taking place. 🔶 DETAILS A "sweep" occurs when the market price extends beyond a previous structural high or low but fails to sustain that breakout, often resulting in a wick or a "fakeout." The script operates through several stages: Pivot Identification: The indicator identifies structural pivot highs and lows based on the Pivot Length input. Threshold Zone: A dynamic ATR-based threshold is applied to these levels. This zone defines the area where price can "pierce" without the candle body closing outside, qualifying the move as a sweep rather than a breakout. Intrabar Analysis: Using request.security_lower_tf , the script analyzes the volume on a lower timeframe. It only counts volume traded beyond the pivot level during the sweep. Sweep Volume Calculation: Bullish Sweep Volume measures volume traded above a Pivot High while the candle body remains below the threshold. Bearish Sweep Volume measures volume traded below a Pivot Low while the candle body remains above the threshold. 🔶 SETTINGS 🔹 Detection Pivot Length: Determines the lookback/lookahead period for identifying structural swing highs and lows. 🔹 Calculation Intrabar Timeframe: The lower timeframe used to calculate granular volume data. Lower timeframes provide higher precision. 🔹 Threshold Use ATR Threshold: Enables a buffer zone around pivots. If the candle body closes within this zone (but beyond the pivot), it is still considered a sweep. ATR Length: The period used for the Average True Range calculation. ATR Multiplier: Multiplier applied to the ATR to define the width of the sweep zone. 🔹 Envelopes Envelope Alpha %: Controls the rate at which the oscillator envelopes decay. Higher values make the envelopes stay elevated for longer. Upper/Lower Envelope Color: Sets the colors for the bullish and bearish oscillator envelopes. 🔹 Visuals Show Swing Levels: Toggles the visibility of the horizontal pivot lines and ATR zones on the main chart. Show Oscillator Fills: Toggles the gradient fills within the oscillator pane. Bullish/Bearish Sweep Color: Sets the colors for the volume columns in the oscillator. Pivot High/Low Colors & Zones: Customizes the colors for the price levels and the shaded threshold areas on the chart.
Indicateur Pine Script®
par LuxAlgo
1
Range Intelligence Suite [LuxAlgo]The Range Intelligence Suite indicator is a specialized consolidation analysis tool that identifies price ranges using ATR-based sensitivity and provides deep volume-based insights through a delta-coded profile and real-time dashboard. 🔶 USAGE The indicator helps traders identify periods of market indecision (consolidation) and analyze the internal volume dynamics to predict potential breakout directions. When the price enters a consolidation phase, the script automatically draws a range box with a mid-line and gradient shading. To the right of each range, a Volume Profile is generated, providing a structural view of where most trading activity occurred. This allows users to see not just the price boundaries, but the "fair value" areas within those boundaries. 🔹 Liquidity Sweeps The script highlights "Fakeouts" or "Liquidity Sweeps" with labels. These occur when price briefly exits the range boundaries (High or Low) but fails to close outside, signaling a potential reversal back into the range or a "stop-run" before a real breakout. 🔹 Delta-Coded Volume Profile Unlike standard volume profiles, this profile dynamically changes color based on the Net Delta of the range: A bullish profile indicates the range is currently under accumulation (more buy volume than sell volume). A bearish profile indicates distribution (more sell volume than buy volume). 🔶 DETAILS 🔹 Range Detection Mechanism The indicator determines a range by comparing the current price volatility to a historical average. It calculates the Highest High and Lowest Low over a user-defined lookback period (Detection Length). A range is triggered when the total distance between that highest high and lowest low is less than the Average True Range (ATR) multiplied by the Range Sensitivity. Essentially, if the price action is "squeezed" into a vertical space smaller than the expected volatility, the script identifies it as a consolidation. The range remains active until a candle closes outside of these identified boundaries. 🔹 Dashboard Metrics State : Displays whether the current range is in a state of Accumulation, Distribution, or if the script is currently scanning for a new trend. Ready Score : A percentage-based metric that combines the duration of the range with the intensity of the net delta. A higher score suggests the range is "mature" and potentially nearing a significant breakout. Range Net Delta : The raw difference between buying and selling volume accumulated since the range began. 🔶 SETTINGS 🔹 Intelligence Core Detection Length : The lookback period used to identify consolidation ranges. Range Sensitivity : ATR multiplier that determines how "tight" the price must be to trigger a range. Lower values require tighter price action to start a range. Hide Overlapping Ranges : When enabled, only the most recent range is shown if multiple ranges overlap in time. 🔹 Visual UX Bullish/Bearish Color : Sets the primary colors for the ranges and volume profiles. Fill Transparency : Adjusts the opacity of the range background fills. Show Point of Control (POC) : Displays the gold dotted line representing the price level with the highest total volume. Highlight Liquidity Sweeps : Toggles the labels for high/low fakeouts. 🔹 Volume Profile Show Volume Profile : Enables or disables the right-aligned volume histogram. Rows : Determines the vertical granularity of the profile. Lower values create thicker bins. Profile Max Width : Adjusts how far the profile extends horizontally to the right as a percentage of the range duration. 🔹 Dashboard Dashboard : Toggles the on-screen information table. Position/Size : Controls the location and scale of the dashboard UI.
Indicateur Pine Script®
par LuxAlgo
Dual Neighboring Price Dispersion [LuxAlgo]The Dual Neighboring Price Dispersion indicator calculates the standard deviation of historical prices within a specific neighborhood of the current price, providing a unique perspective on local price density and volatility within a long-term distribution. 🔶 USAGE The indicator is displayed in a separate pane and consists of two primary components: a bullish dispersion (plotted above zero) and a bearish dispersion (plotted below zero). These components represent the volatility of prices immediately above and below the current market price based on a historical buffer. Users can use this tool to identify "Price Discovery" zones or areas where the current price is trading in historical voids. When the indicator's lines disappear and the background is highlighted, it indicates that the current price has few or no "neighbors" within the historical distribution, suggesting the market is exploring new price levels. 🔹 Interpreting Dispersion High Bullish Dispersion: Indicates that prices higher than the current close are widely spread out, suggesting potential resistance or volatile overhead supply. High Bearish Dispersion: Indicates that prices lower than the current close are widely spread out, suggesting potential support or volatile demand zones. Low Dispersion: Suggests high price density, where many historical data points are clustered together, often acting as "fair value" or high-liquidity zones. 🔶 DETAILS The script maintains a historical buffer of OHLC values (up to 20,000 data points) which are stored in a sorted array. This allows the indicator to construct a "Global Price Distribution" that evolves with every new bar. Instead of calculating volatility over time, the script calculates volatility over price space . It finds the position of the current closing price within the sorted distribution and calculates the standard deviation of the K nearest neighbors above (Bullish) and below (Bearish). If the current price is at an all-time high or low, or if there are not enough neighboring data points within the specified range, the indicator will stop plotting and highlight the background. This visual cue signifies that the asset is currently in a state of "discovery," as there is insufficient historical data in that specific price range to determine a local dispersion. 🔶 SETTINGS Historical Buffer (Bars): The number of historical bars used to build the price distribution. A higher value provides a longer-term memory of price levels. Neighboring Range (K): The number of neighboring price points to include in the standard deviation calculation. Smaller values respond more quickly to local gaps, while larger values provide a broader view of density. Smoothing: Applies a Simple Moving Average (SMA) to the dispersion components to filter out noise and produce smoother visual gradients.
Indicateur Pine Script®
par LuxAlgo
Rolling Liquidity Clusters Channel [LuxAlgo]The Rolling Liquidity Clusters Channel indicator identifies dynamic support and resistance zones by calculating levels that maximize candle wick touches while strictly avoiding intersections with candle bodies within a rolling window. This tool provides a unique perspective on liquidity clusters, highlighting price levels where historical rejection is most concentrated without being invalidated by price "closing" through them. 🔶 USAGE The indicator plots a channel consisting of an Upper Level, a Lower Level, and a Mid Level. The space between these levels is filled with a vertical gradient to visually represent the strength of the liquidity zone. Upper Level (Red): Represents a resistance zone where the most upper wicks are concentrated without any candle body in the lookback window crossing above it. Lower Level (Green): Represents a support zone where the most lower wicks are concentrated without any candle body in the lookback window crossing below it. Mid Level (Orange): Represents the equilibrium or average of the current liquidity channel. Traders can use these levels to identify potential reversal points or areas of price consolidation. A breakout from the channel might indicate a shift in market structure as price moves beyond the most inclusive "non-broken" wick levels. 🔶 DETAILS The script employs a specific constraint logic to ensure the levels represent true "untouched" liquidity: 🔹 Body-Crossing Constraint Before identifying the wick touches, the script calculates the highest candle body high and lowest candle body low within the user-defined window. The resulting levels are guaranteed to stay outside of this "body zone," ensuring that the plotted levels represent prices that the market reached but failed to sustain via a close. 🔹 Maximizing Touches To find the most significant level, the algorithm searches for the most inclusive price point. For the upper level, it identifies the lowest "high" that remains above all candle bodies. For the lower level, it identifies the highest "low" that remains below all candle bodies. This mathematical approach effectively finds the level where the most price action "clusters" via wicks. 🔹 Vertical Gradient Fills The visual style uses a vertical gradient fill. The upper half fades from 90% transparency at the Upper Level (Red) to 100% transparency at the Mid Level. The lower half follows a similar logic, fading from the Lower Level (Green) toward the center. This creates a "glow" effect, emphasizing the outer boundaries where liquidity is highest. 🔶 SETTINGS Window Size: The number of bars used for the rolling calculation. A larger window creates more stable, long-term levels, while a smaller window adapts quickly to recent price action. Upper Level: Customize the color of the upper resistance level and its associated gradient fill. Lower Level: Customize the color of the lower support level and its associated gradient fill. Mid Level: Customize the color of the central equilibrium line.
Indicateur Pine Script®
par LuxAlgo
POC Sweep Reclaim [LuxAlgo]The POC Sweep Reclaim (PSR) model identifies a two-step "rejection then acceptance" price action pattern centered around the Point of Control (POC) of previous candles. By approximating volume-at-price data using lower timeframe (LTF) granularity, the tool highlights specific liquidity traps where price first fails to sustain a move beyond a high-volume level and subsequently reclaims it. The PSR framework is built on the logic that a "Sweep" represents a failed probe of value, while the "Reclaim" represents a successful breach, signaling a potential shift in market dominance as price moves away from trapped participants. 🔶 USAGE The indicator visualizes market microstructure dynamics through a sequence of two distinct events: 🔹 The Sweep (The Rejection) A sweep occurs when a candle's wick trades through the previous bar's POC, but the candle body fails to close beyond it. This identifies a "Liquidity Grab" where price interacts with a high-volume node but fails to find acceptance, often trapping breakout traders. Buyside Sweep: Price wicks above the previous POC but closes below it (Bearish Rejection). Sellside Sweep: Price wicks below the previous POC but closes above it (Bullish Rejection). 🔹 The Reclaim (The Acceptance) A reclaim occurs when the candle immediately following a sweep successfully closes beyond the same POC level that was just rejected. BSR (Buyside Reclaim): A bullish signal where price closes above a previously swept upper POC, suggesting the trap is resolved to the upside. SSR (Sellside Reclaim): A bearish signal where price closes below a previously swept lower POC, suggesting follow-through to the downside. 🔶 DETAILS The script aims to bridge the gap between standard OHLCV analysis and order-flow dynamics. While a true footprint engine (available on higher TradingView tiers) is more accurate, this script uses a proxy by aggregating volume from a lower timeframe (e.g., 1-minute) to estimate the POC of higher-timeframe bars. 🔹 Academic Intuition Order-Flow Imbalance (OFI): Short-term price changes are strongly linked to the inability of one side to provide enough depth. A "reclaim" reflects a shift where the dominant side successfully absorbs the liquidity that caused the initial rejection. Salient Prices: High-volume nodes like the POC act as psychological and mechanical barriers. Research indicates that liquidity clusters around these prominent prices, making them significant areas for support/resistance. Stop-Loss Cascades: Sweeps often interact with clustered stop-loss orders. If price reclaims the level after clearing these stops, it can trigger a directional move as the market "clears" the liquidity hurdle. 🔹 Practical Limitations Footprint Proxy: The POC is calculated by aggregating volume at the close of LTF bars. This is a noisy proxy compared to a true footprint, which tracks every tick. Data Snooping: Like all pattern-based indicators, the "Reclaim" logic should be verified with robust backtesting to ensure signals are not the result of random price noise. Repainting: Because the POC depends on LTF data, the values for the current developing bar may fluctuate until the candle closes. 🔶 SETTINGS Lower Timeframe for POC: Sets the granularity for volume aggregation. A lower value (like 1m) provides a more precise POC proxy. Show POC: Toggles the visibility of the calculated Point of Control dots for every bar. Show Sweep Dots: Displays markers at the POC level when a wick interaction occurs without a body close. Show BSR (Buyside Reclaim): Highlights candles that successfully close above a swept buyside POC. Show SSR (Sellside Reclaim): Highlights candles that successfully close below a swept sellside POC.
Indicateur Pine Script®
par LuxAlgo
Neighboring Trailing Stop [LuxAlgo]The Neighboring Trailing Stop indicator provides a dynamic, data-driven trailing stop-loss mechanism by analyzing the local distribution of prices relative to the current market position. It uses a "k-nearest neighbors" approach to identify support and resistance levels based on historical price clusters, offering a unique alternative to standard volatility-based stops like ATR. 🔶 USAGE The indicator helps traders identify trend reversals and manage open positions by providing a protective stop that adjusts based on where price has historically "congested" near the current level. 🔹 Trend Interpretation Bullish Trend: When the stop-loss line is below the price (colored green), the market is in a bullish state. The trailing stop will only move upward, securing profits as the price creates new local distribution highs. Bearish Trend: When the stop-loss line is above the price (colored red), the market is in a bearish state. The trailing stop will only move downward, following the price as it explores lower distribution zones. 🔹 Signals The script plots "B" (Buy) and "S" (Sell) labels at the point of trend reversals. These occurs when the price breaks through the current "neighboring" distribution boundary, suggesting a shift in the local market structure. 🔶 DETAILS The methodology behind this indicator is rooted in non-parametric statistics and price distribution analysis rather than simple moving averages or volatility. 🔹 Price Distribution & K-Neighbors The script maintains a "Historical Buffer" of recent prices in a sorted array. For every new bar, it identifies the position of the current price within this sorted distribution. It then looks at k neighbors above the price and k neighbors below the price. 🔹 Percentile Bands Within these local "neighborhoods" of price data, the script calculates a specific percentile. This allows the indicator to ignore outliers and focus on where the bulk of historical price action occurred near the current level. If the price moves into a "discovery" phase where it exceeds the range of its historical neighbors, a trend reversal is triggered. 🔹 Trailing Logic The resulting levels are smoothed via an SMA to prevent erratic jumps. The trailing stop is "ratcheted"—meaning it can only move in the direction of the trend (up for long, down for short)—ensuring that realized gains are protected even if the distribution neighborhood expands. 🔶 SETTINGS Historical Buffer (Bars): Determines how many historical price points are kept in the distribution memory. A larger buffer considers more history, leading to more stable but slower-reacting levels. Neighboring Range (K): The number of price points to analyze immediately above and below the current price. Smaller values make the stop more sensitive to local price changes. Percentile: Controls the depth within the neighborhood used for the stop level. A higher percentile (e.g., 90) places the stop further away from the current price. Smoothing: Applies a Simple Moving Average (SMA) to the raw distribution levels to create a smoother trailing line.
Indicateur Pine Script®
par LuxAlgo
3
Day Of Week Price Distribution [LuxAlgo]The Day of Week Price Distribution provides a snapshot of the distribution of closing prices for each day of the week over the last few weeks selected by the user. It displays a box plot with the IQR (interquartile range) box, the median, and all the closing prices as dots. Hovering over each dot reveals key information. There is also a dashboard with core metrics of the data for the selected period. 🔶 USAGE Using the tool is pretty straightforward. Users must select the number of weeks (10 by default) and the box plot spacing (20 by default) to match the desired visual. This is a unique way to see the data represented on the chart. It allows you to understand the price distribution at a glance. Each box represents the price for each day of the week and displays the following elements: Box: Represents the data's IQR, which is delimited by the 25th and 75th percentiles. The line represents the median, or the 50th percentile. Dots represent each data point; these are the closing prices for each day. Hovering over the dots displays the closing price, change in price, volume, and date for that day. Traders can easily detect outliers, which are prices far from their respective boxes. This chart allows us to compare the price distribution for different window parameters. As we can see, the more data points that are used, the more uniform each day becomes. The dashboard displays the following core metrics: Highest price: Highest price in the dataset Lowest price: Lowest price in the dataset Most bullish delta: Largest price increase from open to close Most bearish delta: Largest price decrease from open to close Larger volume: Day with the highest volume Smaller volume: Day with the lowest volume 🔶 SETTINGS Window: Select the number of weeks from which to gather data. Spacing: Select the spacing for the box plot. Larger values will create larger boxes. 🔹 Dashboard Dashboard: Enable or disable the dashboard. Position: Select the dashboard location. Size: Select the dashboard size. 🔹 Style Bullish: Select a color for bullish prices. Bearish: Select a color for bearish prices. IQR Area: Select a color for the IQR area. Enable the "Auto" feature to choose the default color. Median: Select the median color. Enable the "Auto" feature to choose the default color.
Indicateur Pine Script®
par LuxAlgo
1
Variable Sine Wave Fit [LuxAlgo]The Variable Sine Wave Fit indicator uses Ordinary Least Squares (OLS) to fit a dynamic, damped, or expanding sine wave with an underlying linear trend to recent price action. This tool aims to identify cyclical patterns and project their potential continuation into the future, providing a mathematical framework for understanding market regimes and turning points. This indicator is subject to repainting and is displayed retrospectively. 🔶 USAGE The indicator fits a complex trigonometric model to the price data within a user-defined window. The resulting fit is displayed as a solid line over historical bars and transitions into a dashed extrapolation for the forecasted period. To use the indicator effectively, traders should observe the relationship between the price and the RMSE bands. If the price remains within these bands, the current cyclical model is considered to be tracking the price action effectively. If the price breaks significantly outside, the cycle may be shifting or breaking down. 🔹 Extrema Markers Small dot markers are placed at the local maxima and minima of the dashed forecast line. These serve as visual guides for the timing of potential future turning points based on the current mathematical fit. 🔹 Market Regime Dashboard The dashboard provides a real-time summary of the fitted model's characteristics: State: Classified based on the amplitude behavior (Damped, Expanding, or Constant) and the linear component (Trending or Ranging). Best Period: The cycle length (in bars) that currently provides the best fit to the data. RMSE: The Root Mean Square Error, representing the average deviation of price from the fit. 🔶 DETAILS The script solves for the best parameters of the following equation: y = e^(λ * t) * (a * sin(ω * t) + b * cos(ω * t)) + m * t + c Where: e^(λ * t): The damping/expansion factor. If λ > 0, the cycle is expanding; if λ < 0, it is damping. a, b: Coefficients determining the phase and initial amplitude of the sine wave. m * t + c: A linear regression component that accounts for the underlying price trend. The "Best Period" is determined through a grid search that minimizes the Sum of Squared Errors (SSE), ensuring the frequency (ω) matches the most dominant local cycle within the search range. 🔶 SETTINGS 🔹 Settings Window Size (N): The number of historical bars used to calculate the fit. Auto Period: When enabled, the script searches for the best period within the specified min/max range. Fixed Period (P): The period used if Auto Period is disabled. Min/Max Search Period: Defines the boundaries for the automatic cycle search. Forecast Length: The number of bars to project the fit into the future. RMSE Band Multiplier: Determines the width of the bands surrounding the fit based on the fit error. 🔹 Visuals Bullish/Bearish Color: Colors used for the fit line and extrema markers based on the final slope. Band Color: The color of the RMSE-based envelope. 🔹 Dashboard Dashboard: Toggles the visibility of the data table. Position: Moves the dashboard to different corners of the chart. Size: Adjusts the text and table scale.
Indicateur Pine Script®
par LuxAlgo
Evasive SuperTrend [LuxAlgo]The Evasive SuperTrend indicator provides a modernized approach to trend following by implementing a unique "evasive" logic designed to reduce premature trend flips during periods of high market noise and consolidation. Unlike the traditional SuperTrend which can only move closer to the price (or stay flat), this tool identifies when price action gets too close to the volatility band and "evades" the price by pushing the band further away, effectively giving the current trend more breathing room. 🔶 USAGE The indicator can be used similarly to a standard SuperTrend to identify trend direction and potential trailing stop levels, but with added intelligence regarding market noise. 🔹 Identifying Trend and Noise Solid Line: Indicates a standard trend phase where the price is maintaining a healthy distance from the volatility band. Dotted Line: Indicates the "Evasive" mode is active. This occurs when price action enters a "Noise Zone," causing the indicator to proactively push the band away to prevent a false breakout. Gradient Fill: The background fill provides a visual heat map of the trend strength relative to the source price, with higher transparency indicating proximity to a potential trend flip. 🔹 Trading Signals Users can look for "BULL" and "BEAR" labels which mark the points where price successfully penetrates the evasive band. Because the band actively retreats during noise, a trend flip often carries more significance as it requires price to overcome an adaptive volatility threshold. 🔶 DETAILS The core innovation of this script is the "Noise Avoidance Logic." Standard SuperTrends are strictly monotonic (they only move up in a bull trend and down in a bear trend). This often leads to "whipsaws" where a minor price spike touches the band and flips the trend unnecessarily. The Evasive SuperTrend calculates a Noise Threshold . If the distance between the price and the band is less than this threshold (calculated in ATR units), the band is pushed back by a specified Expansion Alpha . This allows the trend to persist through choppy sideways movement that would otherwise trigger a reversal. 🔶 SETTINGS 🔹 Supertrend Settings ATR Length: Determines the lookback period for the Average True Range calculation used to set the band distance. Base Multiplier: Sets the initial distance of the band from the price. Higher values result in fewer, longer-term trend signals. 🔹 Noise Avoidance Logic Noise Threshold (xATR): Defines the "danger zone" around the band. If price enters this ATR-based range, the band begins to evade. Expansion Alpha (xATR): The distance the band moves away from the price when noise is detected. Higher values make the indicator more "stubborn" against trend changes. 🔹 Visualization Show Signal Labels: Toggles the visibility of the BULL and BEAR trend change labels. Show Gradient Fills: Toggles the dynamic background coloring between the price and the band.
Indicateur Pine Script®
par LuxAlgo
5
Geometric Bias Oscillator [LuxAlgo]The Geometric Bias Oscillator indicator provides a normalized measure of market structure by comparing the cumulative magnitude of bullish and bearish segments derived from a simplified price path. It utilizes the Ramer-Douglas-Peucker (RDP) algorithm to filter out market noise, allowing traders to identify the underlying structural bias within a specific lookback window. 🔶 USAGE The indicator oscillates between -100 and 100, where positive values indicate a dominant bullish structure and negative values indicate a dominant bearish structure. Unlike traditional oscillators that rely on raw price changes or moving averages, this tool focuses on the "weight" of simplified structural movements. Traders can use the oscillator to: Identify the prevailing trend bias based on structural significance rather than just closing prices. Spot potential reversals when the oscillator crosses the zero line, signaling a shift in structural dominance. Assess the strength of a trend; values near 100 or -100 suggest a highly directional market with very little structural retracement. 🔹 Visual Interpretation The indicator features a dynamic gradient fill to provide better visual context. When the oscillator is above zero, a green gradient appears, with higher values showing increased intensity. Conversely, when below zero, a red gradient indicates bearish structural dominance. A hidden zero line serves as the central axis for these transitions. 🔶 DETAILS The Geometric Bias Oscillator employs several advanced geometric concepts to determine market bias. 🔹 Ramer-Douglas-Peucker (RDP) Algorithm The core of the calculation is the RDP algorithm, a line-simplification technique. It takes the price action over the defined "Window Size" and reduces it to a series of essential points. By eliminating minor price fluctuations (noise) that fall below a specific distance threshold, the algorithm reveals the primary "skeleton" of the market structure. 🔹 Coordinate Normalization To ensure the simplification is consistent across different assets and volatility regimes, the script normalizes price coordinates using the Average True Range (ATR). Price values are divided by the ATR before the RDP distance calculations are performed. This ensures that the "ATR Multiplier" setting remains meaningful regardless of whether the asset is highly volatile or stable. 🔹 Structural Magnitude Calculation Once the simplified structure is established, the script calculates the vertical distance (magnitude) of every segment in the path. These segments are categorized into bullish (upward) and bearish (downward) moves. The final oscillator value represents the percentage difference between the total bullish magnitude and the total bearish magnitude relative to the total structural movement. 🔶 SETTINGS Window Size : The number of recent bars used to construct the structural path for the RDP algorithm. ATR Multiplier : The sensitivity threshold for simplification. Higher values result in a more aggressive simplification, keeping only the most significant structural pivots. ATR Length : The period used to calculate the ATR for price normalization. Smoothing : Applies a Simple Moving Average to the final oscillator values to reduce jaggedness in the output. Bullish Color : The color used for the oscillator and gradient when structural bias is positive. Bearish Color : The color used for the oscillator and gradient when structural bias is negative.
Indicateur Pine Script®
par LuxAlgo
Neighboring Price Dispersion [LuxAlgo]The Neighboring Price Dispersion indicator calculates the standard deviation of historical prices within a specific price-based neighborhood of the current market level, providing a unique perspective on local price density and volatility within a long-term distribution. 🔶 USAGE The indicator is displayed in a separate pane and represents the volatility of prices immediately surrounding the current market price based on a historical buffer. Unlike standard volatility indicators that measure price change over time, this tool measures the spread of prices across "price space." Users can use this tool to identify "Price Discovery" zones or areas where the current price is trading in historical voids. When the indicator line disappears and the background is highlighted, it indicates that the current price has few or no "neighbors" within the historical distribution, suggesting the market is exploring new price levels. 🔹 Interpreting Dispersion High Dispersion: Indicates that historical price points near the current level are widely spread out. This often suggests a lack of historical agreement on value at that level or a "thin" market area. Low Dispersion: Suggests high price density, where many historical data points (OHLC values) are clustered together. These areas often act as "fair value" zones or high-liquidity regions where the market has spent significant time. Background Highlights: When the background is colored, it signifies a "Discovery" phase. This occurs when the current price is at an extreme (all-time high/low within the buffer) or in a gap where there aren't enough historical neighbors to calculate a valid dispersion. Signal Components: The indicator includes an orange Signal MA to help identify trends in dispersion and a white Cumulative Mean line to represent the long-term average dispersion of the current session. 🔶 DETAILS The script maintains a historical buffer of OHLC values (up to 20,000 data points) which are stored in a sorted array. This allows the indicator to construct a "Global Price Distribution" that evolves with every new bar. Instead of calculating volatility over a lookback period of bars, the script finds the position of the current closing price within the sorted distribution and calculates the standard deviation of the K nearest neighbors. If the current price is trading in a range it has rarely or never visited within the defined buffer, the indicator will stop plotting. This visual cue signifies that the asset is currently in a state of "discovery," as there is insufficient historical data in that specific price range to determine a local dispersion. 🔶 SETTINGS Historical Buffer (Bars): The number of historical bars used to build the price distribution. A higher value provides a longer-term memory of price levels. Neighboring Range (K): The number of neighboring price points to include in the standard deviation calculation. Smaller values respond more quickly to local gaps, while larger values provide a broader view of density. Smoothing: Applies a Simple Moving Average (SMA) to the dispersion calculation to filter out noise and produce smoother visual transitions. MA Length: Sets the period for the signal moving average (orange line). This helps smooth the dispersion data to identify broader shifts in price density. CMean Multiplier: A multiplier applied to the cumulative mean of the dispersion. This adjusts the level of the white baseline relative to the current dispersion values.
Indicateur Pine Script®
par LuxAlgo
Price-Point Volume Oscillator [LuxAlgo]The Price-Point Volume Oscillator indicator estimates the volume distribution at the current price level by analyzing historical bars that intersect with the current market price. 🔶 USAGE This tool provides a unique perspective on volume by filtering historical price action to show only the volume that occurred when the price was at its current level. This helps traders identify whether the current price point has historically been a zone of high buying pressure, heavy selling, or balanced distribution. The indicator consists of several visual components: Buy/Sell Volume Areas: The background shows the estimated buying volume (green area) and selling volume (red area) accumulated at the current price over the lookback period. Volume Delta Histogram: The central histogram represents the net difference (Delta) between buy and sell volume. A green histogram indicates a net positive buying bias at the current price, while a red histogram indicates a net negative selling bias. Dashboard: A real-time table providing specific metrics, including estimated Buy/Sell totals, the net Delta, and the Delta Percentage. Traders can use this oscillator to confirm support or resistance levels. For example, if the price approaches a previous level and the Delta Histogram shows significant buying volume at that specific price point, it may suggest strong historical demand. 🔶 DETAILS The script operates by looping through a user-defined lookback window. For every historical bar, it checks if the current close price falls within that bar's High-Low range. If it does, the volume from that historical bar is "allocated" to the current price level. To differentiate between buying and selling volume, the script uses a ratio based on where the historical bar closed relative to its range. If a historical bar closed near its high, a larger portion of its volume is attributed to "Buy Volume" at the current price. 🔶 SETTINGS 🔹 Settings Lookback Window: Determines the number of historical bars the indicator analyzes to find price intersections. A larger window provides a more comprehensive historical view but requires more calculations. 🔹 Visuals Show Dashboard: Toggles the visibility of the real-time statistics table. Position: Controls where the dashboard is anchored on the chart (Top Right, Bottom Right, or Bottom Left). Size: Adjusts the text and table size of the dashboard to fit different screen resolutions.
Indicateur Pine Script®
par LuxAlgo