Sản phẩm
Cộng đồng
Thị trường
Nhà môi giới
Thêm nữa

Chỉ báo và chiến lược
Luxalgo

Luxalgo

HTF Reversal Divergences [LuxAlgo]The HTF Reversal Divergences indicator is a multi-timeframe analysis tool that integrates higher timeframe (HTF) price action patterns, RSI divergences, and advanced candle projections (PO3) to identify potential market reversals. 🔶 USAGE The indicator is designed to provide traders with a comprehensive view of market exhaustion and trend shifts by combining momentum oscillators with structural price patterns. Users can monitor HTF candles (e.g., 1H, 4H) while trading on lower timeframes (e.g., 5m, 15m). When a reversal pattern like an Engulfing candle or a Pin Bar forms on the higher timeframe, the script highlights the specific area on the chart using styled boxes and labels. 🔹 RSI Divergences The script calculates the Relative Strength Index (RSI) and automatically detects regular divergences. These are visualized with connecting lines on both the indicator pane and the main price chart: Bullish Divergence : Occurs when price makes a lower low but the RSI makes a higher low, suggesting waning downward momentum. Bearish Divergence : Occurs when price makes a higher high but the RSI makes a lower high, suggesting waning upward momentum. 🔹 Advanced HTF PO3 (Power of 3) A unique feature of this tool is the projection of Higher Timeframe candles to the right of the current price action. This allows traders to see how the current lower-timeframe bars are contributing to the formation of the larger HTF candle (Open, High, Low, Close). The PO3 projection includes a "Running Delta" which tracks volume-based buying and selling pressure within the current HTF period. Dashed lines connect the projected candle's OHLC levels back to the specific bars where those levels were established on the current timeframe. 🔶 DETAILS The indicator uses request.security() to fetch data from the user-specified higher timeframe. The reversal patterns are defined as follows: Engulfing : A candle that completely overlaps the body of the previous candle in the opposite direction. Pin Bars : Hammers and Shooting Stars, defined by a long wick representing at least 60% of the total candle range. The PO3 (Accumulation, Manipulation, Distribution) logic is reflected in the live candle projection, helping traders visualize where the "open" of the session is relative to current price, and whether the high or low of the HTF bar has likely been set. 🔶 SETTINGS 🔹 HTF Reversal Patterns High Timeframe : Sets the timeframe used for pattern detection and candle projections. Show Engulfing Patterns : Toggles the detection of bullish and bearish engulfing candles. Show Pin Bars : Toggles the detection of Hammers and Shooting Stars. Colors : Customize the visual representation of bullish and bearish structural patterns. 🔹 RSI Divergence Show RSI Divergences : Toggles the calculation and display of momentum divergences. RSI Length : The lookback period for the RSI calculation. Pivot Lookbacks : Determines the sensitivity of the pivot detection used for finding divergence points. 🔹 Advanced: HTF PO3 Show HTF PO3 : Toggles the projected candle interface on the right side of the chart. Candles to Show : The number of historical HTF candles to project alongside the live one. Right Offset : How many bars to the right the projection is rendered. Show PO3 Price Labels/Delta : Toggles specific data points on the projection UI.

Chỉ báo Pine Script®

RSI Prediction by Range Segmentation [LuxAlgo]The RSI Prediction by Range Segmentation indicator projects a future path for the Relative Strength Index (RSI) by analyzing and averaging historical patterns that originated from similar RSI levels. This tool provides a probabilistic forecast based on how the RSI has historically behaved after reaching specific value segments. 🔶 USAGE The indicator segments the RSI range (0-100) into multiple horizontal zones. When the current RSI value falls into a specific zone, the script identifies all historical instances where the RSI was in that same zone and calculates the average path it took over a subsequent period. Users can observe the dynamic polyline forecast extending from the current RSI value to anticipate potential overbought or oversold conditions before they occur. The RSI line itself changes color based on its position relative to the 50 level, providing an immediate visual cue for bullish or bearish momentum. 🔹 Range Segmentation The RSI scale is divided into "Range Segments" (e.g., 10 segments of 10 points each). This allows the indicator to categorize market momentum into specific states. By increasing the number of segments, you make the historical matching more precise but may have fewer historical samples to average. A step-line is plotted to visualize the base of the current segment being analyzed. 🔹 The Forecast The forecast is generated only on the most recent bar using a polyline. It looks at the current RSI segment, retrieves the "Historical Limit" of stored patterns for that specific segment, and plots the mathematical average of those paths. The forecast color is dynamic: it appears bullish if the predicted endpoint is higher than the current RSI, and bearish if it is lower. 🔹 Overbought/Oversold Fills To highlight extreme momentum, the script includes conditional vertical gradient fills. When the RSI rises above the user-defined Overbought Level, a green gradient fills the space between the RSI and the level. Conversely, when it drops below the Oversold Level, a red gradient appears. 🔶 DETAILS The script utilizes User-Defined Types (UDTs) to store sequences of RSI values (Segments) within specific RangeData objects. This architecture allows the script to efficiently manage memory while maintaining a deep history of price momentum patterns. Every time a new bar is processed, the script "looks back" at a pattern of a specific length and stores it in the bucket corresponding to where that pattern started (the anchor point). This creates a library of outcomes categorized by their starting momentum state, which is then accessed on the real-time bar to generate the forecast. 🔶 SETTINGS 🔹 General Settings Historical Limit : Determines the maximum number of historical segments stored for each RSI range. A higher limit provides a more "smoothed" average by including more historical data. Forecast Length : The number of bars into the future the prediction will extend. This also defines the length of the historical patterns being recorded. Range Segments : The number of divisions for the 0-100 RSI scale. For example, setting this to 10 creates segments of 10 units (0-10, 10-20, etc.). RSI Length : The lookback period for the standard RSI calculation. 🔹 Levels Overbought Level : The threshold above which the RSI is considered overbought and the bullish gradient fill is triggered. Oversold Level : The threshold below which the RSI is considered oversold and the bearish gradient fill is triggered. 🔹 Colors Bullish Color : The color used for the RSI line (when > 50), the overbought gradient, and bullish forecasts. Bearish Color : The color used for the RSI line (when < 50), the oversold gradient, and bearish forecasts. Level Color : The color of the Overbought, Oversold, and Center (50) horizontal levels.

Chỉ báo Pine Script®

Structural SVM Ranker [LuxAlgo]The Structural SVM Ranker indicator is a market structure tool that utilizes a linear Support Vector Machine (SVM) algorithm to classify and rank structural breaks based on volume, momentum, and price magnitude. By assigning a score from 0 to 100 to every Break of Structure (BOS) and Change of Character (CHoCH), it aims to help traders differentiate between high-conviction structural shifts and low-probability price action. 🔶 USAGE The indicator identifies key pivot highs and lows to map out the market structure. When price closes beyond these levels, a structural break is identified and assigned a score based on the quality of the move. BOS (Break of Structure): Represented by solid lines, these indicate a continuation of the current local trend. CHoCH (Change of Character): Represented by dashed lines, these indicate a potential reversal in the trend direction. SVM Score: Displayed on labels and the dashboard. A higher score suggests the break occurred with significant relative volume, strong RSI momentum, and a meaningful price distance beyond the pivot level. Traders can use the SVM score to filter trade quality. For example, a "CHoCH" with a score above 70 indicates a high-conviction reversal backed by volume and momentum, whereas a score below 30 might suggest a "fakeout" or a weak structural shift. 🔶 DETAILS The core of the script is a linear classification logic inspired by Support Vector Machines. It takes three primary features into account to determine the "strength" of a break: Relative Volume: Compares current volume to its 20-period average to ensure the break is supported by market participation. RSI Momentum: Measures the distance of the RSI from its midpoint (50) to confirm trend strength. Break Distance: Measures how far the price closed beyond the structural level, normalized by the Average True Range (ATR). These features are multiplied by user-defined weights and then passed through a Sigmoid function to produce a normalized score between 0 and 100. 🔶 SETTINGS 🔹 Market Structure Pivot Lookback: Determines the number of bars required to confirm a pivot high or low. Show BOS/CHoCH: Toggles the visibility of structural break lines and labels. 🔹 SVM Ranking Parameters Relative Volume Weight: Adjusts the influence of volume on the final score. RSI Momentum Weight: Adjusts the influence of RSI deviation from 50 on the final score. Break Distance Weight: Adjusts the influence of the price distance beyond the pivot (relative to ATR). ATR Length: The period used for the ATR normalization of the break distance. 🔹 Dashboard Dashboard: Toggles the visibility of the real-time ranking table. Position: Moves the dashboard to different corners of the chart (Top Right, Bottom Right, Bottom Left). Size: Adjusts the scale of the dashboard text.

Chỉ báo Pine Script®

Support & Resistance Pro Toolkit [LuxAlgo]The Support & Resistance Pro Toolkit indicator is the ultimate professional structural analysis engine for TradingView, meticulously engineered to provide the definitive solution for modern structural analysis by integrating four sophisticated detection algorithms—Pivots, Donchian Alternating, CSID, and ZigZag—marked by directional triangle signals to identify high-conviction swing points. This powerhouse tool allows traders to seamlessly toggle between precise level plotting and dynamic ATR-based zones, both featuring a revolutionary security breakout buffer and 25-bar future projections, alongside advanced filtering based on traded volume, liquidity sweeps (marked by prominent dot signals), re-test frequency, and survival duration. 🔶 USAGE The toolkit identifies significant price structures using one of four sophisticated detection methods. Once a level is identified, it can be displayed as a precise line or a dynamic zone with depth determined by the Average True Range (ATR). Traders can use this toolkit to filter out market noise by setting minimum requirements for volume, re-tests, or liquidity sweeps. This ensures that only the most significant institutional structures are displayed on the chart. 🔹 Advanced Detection Engines The foundation of any structural analysis is detection. This toolkit offers four unique methodologies to suit any trading style: Pivots : The industry-standard approach using left/right strength lookbacks to find peak highs and valley lows. Donchian (Alternating) : A high-performance state-machine detector. It identifies alternating swings without fixed lag, confirming a previous extreme precisely when price shifts to a new directional state (e.g., a new Higher High confirms the previous Lower Low). CSID : A momentum-based detector that identifies structural extremes based on a consecutive sequence of N bullish or bearish candles, highlighting areas of strong trend initiation. ZigZag : A volatility-adjusted method that identifies swings based on a percentage deviation from price, filtering out minor fluctuations and focusing on significant market moves. 🔹 Zone Sizing & The Security Buffer Structural areas are rarely single prices. This toolkit treats S&R as dynamic regions of interest: Zone Depth (ATR Mult) : Zones are calculated using the Average True Range (ATR) to ensure they adapt to current market volatility. This sets the thickness from the swing point inwards towards price. Breakout Buffer (ATR Mult) : A revolutionary "Security Buffer" that extends the zone outwards on the breakout side. This requires price to clear an additional layer of volatility before a breakout is confirmed, significantly reducing "fakeouts" and noise-triggered mitigations. 🔹 Overlap & Structural Hygiene Keep your charts actionable and clean with institutional-grade overlap management: Merge Overlapping : When two zones interact, the older zone expands its boundaries to encompass the newer one, creating a "Super Zone" that respects the combined historical context. Hide Oldest First : Prioritizes the most recent market context by hiding older levels that are overlapped by newer ones. Hide Youngest First : Respects established, historical structures by ignoring newer, smaller levels that form within the range of existing unmitigated zones. 🔹 Institutional Filtering Eliminate minor "noise" levels by showing only structures that meet high-conviction criteria: Price Entries (E) : Shows zones only after they have been re-tested a specific number of times. Strength (S) : Tracks the number of additional swing points that occur within the zone range during its lifetime. Sweeps (SW) : Filters for zones that have successfully trapped liquidity through wick-only violations. Traded Volume (V) : Sums every tick of volume that occurs while price is within the zone, identifying areas of massive institutional participation. Duration (D) : Requires a level to survive for a minimum number of bars before it is considered a valid structure. 🔶 DETAILS 🔹 Symbols & Analytic Feedback ▲/▼ Triangles : Pinpoint markers at the exact bar of every detected swing high and low. ● Large Dots : Marked at the exact location of "Sweeps"—where price wicks past a boundary but closes back inside, signaling a potential reversal or liquidity grab. Future Projections : Active, unmitigated levels extend 25 bars beyond the current price action for immediate visual guidance. Dynamic Shorthand Labels : Positioned at the end of the extension and centered on the zone average, providing a real-time data readout: E:Entries | S:Strength | SW:Sweeps | V:Volume | D:Duration 🔹 The Performance Dashboard A 4-column command center providing a side-by-side comparison of structural performance across Support, Resistance, and Totals: Active / Total : Real-time count of currently valid versus historically detected structures. Mitigation % : The structural "break rate" of your current settings. Avg Duration : The average number of bars a level survives before being violated—critical for timing trades. Avg Volume : The typical "weight" of institutional activity accumulated within zones before they break. Total Sweeps : A macro-view of liquidity hunting activity on both sides of the market. 🔶 SETTINGS 🔹 Detection Settings Detection Method : Choose between Pivots, Donchian, CSID, or ZigZag logic. Swing Sensitivity : Adjusts the lookback or deviation required to confirm a new swing point. 🔹 Zone & Level Sizing Display Style : Toggles between horizontal levels and ATR-based zones. ATR Period : Period used for the volatility calculations. Zone Depth (ATR Mult) : Sets the vertical thickness of the S&R zones. Breakout Buffer (ATR Mult) : Adds a buffer to the breakout side to filter out false breaks. 🔹 Filtering & Visibility Overlap Handling : Manages how overlapping zones are displayed (Merge, Hide Oldest, or Hide Youngest). Max Active (Unmitigated) : Limits the number of unmitigated levels shown on the chart. Show Broken S&R : Toggles the visibility of levels that have already been mitigated. Extend Active S&R : Extends active levels into the future for better visibility. 🔹 Minimum Requirements Min Price Entries : Minimum re-tests required for a level to be visible. Min Overall Strength : Minimum strength score required based on internal swing points. Min Sweeps : Minimum liquidity sweeps required. Min Traded Volume : Minimum accumulated volume required within the zone. Min Duration (Bars) : Minimum age of the level in bars before display.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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).

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

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.

Chỉ báo Pine Script®

11 22 33 44 55 66 77 88 99 1010 1111 1212 1313 1414 1515

Chọn dữ liệu thị trường do ICE Data Services cung cấp. Chọn dữ liệu tham chiếu do FactSet cung cấp. Bản quyền © 2026 FactSet Research Systems Inc.Bản quyền © 2026, Hiệp hội Ngân hàng Mỹ. Cơ sở dữ liệu CUSIP do FactSet Research Systems Inc. cung cấp. Bảo lưu mọi quyền. Các báo cáo SEC và tài liệu khác do Quartr cung cấp.© 2026 TradingView, Inc.

Hơn cả một sản phẩm

Supercharts

Bộ lọc

Cổ phiếu
Quỹ Hoán đổi danh mục
Trái phiếu
Tiền điện tử
Cặp CEX
Cặp DEX
Pine

Bản đồ nhiệt

Cổ phiếu
Quỹ Hoán đổi danh mục
Tiền điện tử

Lịch

Kinh tế
Thu nhập
Cổ tức

Xem thêm sản phẩm

Đường cong lợi suất
Quyền chọn
Bản đồ dữ liệu kinh tế toàn cầu
Dòng Tin tức
Pine Script®

Ứng dụng

Di động
Desktop

Cộng đồng

Mạng xã hội
Bức tường Tình yêu
Giới thiệu bạn
Nội quy chung
Người điều hành

Ý tưởng

Giao dịch
Đào tạo
Biên tập viên chọn

Pine Script

Chỉ báo & chiến lược
Phù thủy
Người làm việc tự do

Công cụ & gói đăng ký

Tính năng
Trả phí
Dữ liệu thị trường
Tặng quà gói

Giao dịch

Tổng quan
Nhà môi giới hàng đầu
So sánh các nhà môi giới

Ưu đãi đặc biệt

Hợp đồng tương lai CME Group
Hợp đồng tương lai Eurex
Gói cổ phiếu Hoa Kỳ

Giới thiệu về công ty

Chúng tôi là ai
Sứ mệnh không gian
Blog
Sự nghiệp
Bộ đa phương tiện

Hàng hóa

Cửa hàng TradingView
Lá bài Tarot cho nhà giao dịch
Đồng hồ The C63 TradeTime

Chính sách & bảo mật

Điều khoản sử dụng
Thông báo miễn trừ trách nhiệm
Chính sách Bảo mật
Chích sách về Cookie
Thông báo về khả năng truy cập
Mẹo bảo mật
Chương trình săn lỗi bảo mật
Trang trạng thái

Giải pháp kinh doanh

Tiện ích
Thư viện biểu đồ
Lightweight Charts™
Biểu đồ Nâng cao
Nền tảng Giao dịch

Cơ hội tăng trưởng

Quảng cáo
Tích hợp tính năng Môi giới
Chương trình Đối tác
Chương trình giáo dục

Cộng đồng

Mạng xã hội
Bức tường Tình yêu
Giới thiệu bạn
Nội quy chung
Người điều hành

Ý tưởng

Giao dịch
Đào tạo
Biên tập viên chọn

Pine Script

Chỉ báo & chiến lược
Phù thủy
Người làm việc tự do

Giải pháp kinh doanh

Tiện ích
Thư viện biểu đồ
Lightweight Charts™
Biểu đồ Nâng cao
Nền tảng Giao dịch

Cơ hội tăng trưởng

Quảng cáo
Tích hợp tính năng Môi giới
Chương trình Đối tác
Chương trình giáo dục