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Chandelier Exit Flip Zones [AGPro Series]Chandelier Exit Flip Zones Chandelier Exit Flip Zones is a premium ATR trailing-stop and exit-state engine built for traders who want more than a simple stop line on the chart. The script takes the classic Chandelier Exit concept and turns it into a structured decision layer: Chandelier trail -> trail-side flip -> flip quality -> continuation state -> exit-pressure awareness The result is a clean public-free tool for reading trend continuation, trailing-stop pressure, and Chandelier flip transitions without turning the chart into a crowded signal board. 📌 Why This Script Exists Chandelier Exit is one of the most practical and searched trailing-stop concepts because it connects trend direction with volatility. Many traders use it to trail positions, judge when momentum is still holding, or identify when price is starting to lose distance from its active stop area. Most Chandelier tools stop at the line. This script adds the missing context: - Which side of the Chandelier trail is active? - How far is price from the trail in ATR terms? - Was the latest trail flip strong or weak? - Is the market still in continuation mode? - Is price compressing back into an exit-watch area? - Did the transition create a clean forward flip zone? That extra layer is what makes the script more useful than a standard ATR trailing-stop overlay. ⚡ What Makes It Different From Standard Chandelier Exit Indicators Most public Chandelier Exit indicators are visually simple. They usually plot a long stop, a short stop, and sometimes a basic flip marker. Chandelier Exit Flip Zones is built around a stronger reading model. It evaluates each trail flip through a quality score that combines: - Trail-break strength - EMA trend agreement - Range expansion - Candle close location - Optional volume participation This means the script does not treat every flip equally. A weak flip inside chop is not presented with the same weight as a cleaner transition with better structure, stronger expansion, and better directional agreement. The script also uses quality-filtered Flip Zones. These boxes are not generic support and resistance areas. They are drawn around the Chandelier transition area where price breaks the previous trail and establishes a new active side. The purpose is to mark the actual trail-flip area, not to fill the chart with unrelated levels. 🧭 How It Is Different From Other AGProLabs Scripts This script was intentionally kept in a narrow Chandelier Exit lane so it does not overlap with other AGProLabs public releases. It is not a SuperTrend script. SuperTrend logic is built around a different volatility-band mechanism, while this tool is built around Chandelier high/low structure anchors and ATR trail distance. It is not an ATR compression or ATR breakout script. Those concepts focus on volatility contraction, breakout pressure, or expansion behavior. This script focuses on the active trailing-stop side, distance from the Chandelier trail, and exit-state awareness. It is not a generic trend dashboard. The panel is compact and centered on trail side, ATR multiple, distance, flip quality, and continuation or exit-watch state. It is not a support/resistance zone engine. The only zones are concept-native Flip Zones created from qualified Chandelier trail transitions. This keeps the script differentiated, practical, and publication-safe inside the AGPro Series catalog. ✅ Core Features - Chandelier Exit trail based on ATR distance and recent structure anchors - Long-side and short-side trail state - Bullish and bearish trail-flip detection - Flip quality score from 0 to 100 - Prime, qualified, and developing flip classifications - ATR distance from the active trail - Percentage distance from the active trail - Continuation, control, and exit-watch state logic - Quality-filtered forward Flip Zones - Optional exit-watch labels, disabled by default for a cleaner public view - Label cooldown and maximum label controls - Maximum visible zone control - Adjustable label font size - Adjustable panel font size - Adjustable panel location - Dark, light, and auto panel theme options - AGPro-style panel with a single merged blue header row - Alerts for bullish flips, bearish flips, prime flips, and exit-watch conditions 📊 Panel Readout The panel is designed to give a fast read without visual overload: Trail Side Shows whether the active Chandelier trail is currently long-side or short-side. ATR Multiple Shows the volatility multiple used by the current trail. Distance Shows how far price is from the active trail in both ATR and percentage terms. Flip Quality Displays the most recent flip score and classification. State Classifies the current condition as continuation, control, or exit watch. 🎯 How To Read It A strong Chandelier flip means price has crossed the prior active trail with enough quality to deserve attention. The score helps separate cleaner transitions from weaker flips in noisy conditions. A continuation state means price has moved far enough from the active trail and still has trend agreement behind it. This is the cleaner trend-following condition. A control state means price is on one side of the trail, but the continuation profile is not yet strong enough to classify as a high-conviction continuation read. An exit-watch state means price has compressed back toward the active Chandelier trail. This does not make the script a prediction tool. It simply highlights that the active trend has less distance from its trailing-stop structure and deserves closer attention. 💎 Why Traders May Like It The script is useful because it keeps the original simplicity of Chandelier Exit while adding the context traders usually have to judge manually. It can help users read: - Trend-following continuation quality - ATR trailing-stop distance - Trail-side transitions - Cleaner Chandelier flip zones - Exit-pressure areas near the active trail - Strong versus weak flip behavior The default view is intentionally restrained. Exit-watch labels are available, but disabled by default so the first chart impression stays cleaner. Flip labels and zones are also filtered by score so the chart does not get flooded during sideways periods. 🛠 Suggested Use Cases - Trend-following exit management - Swing-trading trail awareness - Crypto trend continuation tracking - Forex and index trailing-stop context - Stock trend-state monitoring - Identifying stronger Chandelier trail transitions - Monitoring when price compresses back toward the active trail ⚙️ Recommended Default Style The defaults are tuned for a public-free premium view: - ATR Length: 22 - Structure Lookback: 22 - ATR Multiple: 3.0 - Flip Zones: enabled - Minimum Zone Score: 50 - Minimum Flip Label Score: 45 - Exit Labels: disabled by default - Label Font Size: Normal - Panel Font Size: Normal - Panel Theme: Dark These settings keep the tool immediately usable while preserving a clean chart presentation. 🔹 In One Sentence Chandelier Exit Flip Zones turns a classic ATR trailing stop into a cleaner Chandelier trail, flip-quality, continuation-state, and exit-pressure map built for serious chart reading without unnecessary clutter.
Pine Script® indicator
by AGProLabs
FVG Quality Scorer | Flux ChartsGENERAL OVERVIEW: FVG Quality Scorer is a Fair Value Gap analysis tool designed to extend beyond basic gap detection. Instead of treating every gap equally, this indicator evaluates each FVG across four independent scoring axes and assigns a letter grade (A through D) based on configurable thresholds. This creates a structured view of the chart where gaps are organized by their relative characteristics. Every FVG is scored once at the moment of creation across Displacement Strength, Volume Delta, Contextual Location, and Structural Alignment. Each axis is scored from 0 to 25, producing a weighted composite score out of 100. Scores are fixed at creation, ensuring the evaluation reflects the conditions present at the time of formation and does not change retroactively. In contrast, each FVG’s lifecycle state (Fresh, Tested, Partially Filled, Mitigated) updates in real time as price interacts with the zone, providing a current view of how price is interacting with each gap. A companion dashboard tracks grade distribution, active counts, total formations, and average fill times across the visible chart history. Score labels at the edge of each FVG box provide a quick reference to the assigned grade, with optional tooltips displaying the full scoring breakdown and current lifecycle state. FEATURES: ◇ Four-axis scoring system: Displacement Strength, Volume Delta, Contextual Location, and Structural Alignment, each scored from 0 to 25 for a maximum composite score of 100 ◇ Letter grade assignment (A, B, C, D) using per-axis threshold gates with configurable minimum scores and required axes per grade ◇ Lower timeframe volume delta analysis using intrabar data to estimate directional volume distribution within the displacement candle ◇ Higher timeframe FVG nesting detection to identify when current timeframe gaps are positioned within higher timeframe imbalances ◇ Session timing reference covering Asian, London, New York AM, and New York PM sessions based on New York time ◇ Premium and Discount zone scoring using a proportional gradient based on the FVG’s position within a defined price range ◇ Market structure classification using swing high and swing low sequences to label conditions as bullish, bearish, or mixed ◇ Break of Structure (BOS) tracking using crossover logic to identify recent structural breaks relative to the FVG direction ◇ Post-sweep proximity detection identifying FVGs that form after a liquidity sweep of a swing level ◇ Lifecycle state tracking: Fresh → Tested → Partially Filled → Mitigated, with corresponding visual updates on the chart ◇ Score labels with optional tooltips displaying axis scores and current lifecycle state ◇ Dashboard displaying active counts, total formations, and average bars to mitigation per grade, along with nearest A-grade distance tracking ◇ Configurable axis weights for adjusting the influence of each scoring dimension in the composite score ◇ Alerts for newly formed A-grade and B-grade FVGs based on defined grading criteria WHAT IS A FAIR VALUE GAP? A Fair Value Gap is a three-candle price formation that highlights an imbalance in price movement. It occurs when the third candle’s wick does not overlap with the first candle’s wick, leaving a visible gap created by the middle candle. This middle candle is often referred to as the “displacement” candle, as it reflects a relatively strong move in price over a short period. In a bullish FVG, the low of the third candle is positioned above the high of the first candle. In a bearish FVG, the high of the third candle is positioned below the low of the first candle. The space between these two wicks defines the FVG zone. Within ICT and Smart Money Concepts frameworks, these gaps are interpreted as areas where price moved quickly, leaving limited trading activity at certain levels. As a result, these zones are often monitored as areas of interest if price revisits them in the future. However, not all FVGs share the same characteristics, and variations in formation context are what this indicator evaluates using its scoring system. WHAT IS THE THEORY BEHIND THIS INDICATOR? The core premise behind FVG Quality Scorer is that gap detection alone does not capture the full context of how Fair Value Gaps form. On any given trading day, multiple FVGs can appear across timeframes, each with different characteristics depending on the surrounding price action. This indicator evaluates those characteristics using a structured scoring approach. Not all FVGs form under the same conditions. For example, a gap created by a relatively small candle during low volume periods in a ranging market will differ in structure from one formed during a strong displacement move with increased volume, aligned with broader market structure and session timing. These differences are often considered when analyzing FVGs, but evaluating them manually across multiple factors and timeframes can be time intensive and subjective. FVG Quality Scorer standardizes this process by quantifying these characteristics into a consistent framework. The indicator’s four-axis model reflects commonly used analytical considerations within ICT and Smart Money Concepts methodologies. These include measuring displacement strength, assessing volume characteristics, evaluating contextual positioning within a range or session, and identifying alignment with market structure. By organizing these factors into a rule-based system, the indicator provides a consistent method for comparing FVG formations based on their underlying attributes. Axis 1: Displacement Strength (0 to 25 points) The displacement candle is the middle candle of the three-bar FVG formation and is the candle responsible for creating the gap. This axis evaluates the characteristics of that candle based on its size, structure, and relation to surrounding price action. Candles with larger bodies relative to their total range, higher relative size compared to recent volatility, and alignment with neighboring candles are scored differently than candles with smaller bodies or more pronounced wicks. The indicator evaluates three sub-metrics within this axis. Body-to-range ratio (0 to 10 points) measures how much of the candle’s total range is composed of the body versus the wicks. A ratio of 0.85 or higher receives 10 points, ratios between 0.70 and 0.85 receive 7 points, ratios between 0.55 and 0.70 receive 4 points, and anything below 0.55 receives zero. ATR multiple (0 to 10 points) compares the displacement candle’s total range to the 14-period Average True Range. A range equal to or greater than 2 times the ATR receives 10 points, 1.5x to 2x receives 7 points, 1x to 1.5x receives 4 points, and values below 1x receive zero. Consecutive displacement (0 to 5 points) evaluates whether the candles immediately before and after the displacement candle close in the same direction as the FVG. If both surrounding candles align, the FVG receives 5 points. If one aligns, it receives 2 points. If neither aligns, it receives zero. This metric reflects the consistency of direction across the three-candle formation. Axis 2: Volume Delta (0 to 25 points) Volume reflects how much activity occurred, while volume delta separates that activity into directional components based on price movement. By analyzing lower timeframe data, volume can be divided into buying and selling activity within the displacement candle, providing additional context on how volume was distributed during the move. The indicator uses lower timeframe intrabar data (configurable, default 1 minute) to estimate this distribution. Each lower timeframe candle within the displacement bar is classified as bullish volume (close above open) or bearish volume (close at or below open), and these values are aggregated to form a directional breakdown. This axis evaluates three sub-metrics. LTF dominance (0 to 12 points) measures the percentage of total volume on the displacement candle that aligns with the FVG direction. Values above 75% receive 12 points, 60% to 75% receive 8 points, 50% to 60% receive 4 points, and values below 50% receive zero. Relative volume (0 to 8 points) compares the displacement candle’s volume to the 20-period volume average. Volume equal to or greater than 2 times the average receives 8 points, 1.5x to 2x receives 5 points, 1x to 1.5x receives 2 points, and values below the average receive zero. Volume rising (0 to 5 points) evaluates whether volume increases across the three candles of the formation, where volume on the displacement candle exceeds the prior candle, and the prior candle exceeds the one before it. This metric captures the progression of volume across the formation. Screenshot: Zoomed view showing the Delta volume panel below with visible volume spike on the displacement candle] Axis 3: Contextual Location (0 to 25 points) The location of an FVG within the recent price range provides additional context for how it formed. In ICT methodology, the range is often divided into two halves using the equilibrium (50%) level. The lower half is referred to as the “discount zone,” while the upper half is referred to as the “premium zone.” A bullish FVG forming in the lower portion of the range is positioned within the discount zone, while a bearish FVG forming in the upper portion is positioned within the premium zone. FVGs that form closer to the midpoint or on the opposite side of the range can be described as having different contextual positioning relative to the defined range. This indicator incorporates that positioning into its scoring by evaluating where the FVG forms within the selected lookback range, using a proportional approach rather than a fixed cutoff at the midpoint. In addition to premium and discount positioning, other contextual factors can be used to describe how an FVG forms within the broader price environment. These include whether the FVG appears after a liquidity sweep, whether it is positioned within a higher timeframe FVG, and whether it forms during specific session windows. These elements provide additional structure for evaluating the formation context. This axis evaluates four sub-metrics. Premium and Discount scoring (0 to 8 points) uses a proportional gradient across the recent price range defined by the Range Lookback setting. For bullish FVGs, gaps forming in the lower half of the range (below equilibrium) receive the full 8 points. Gaps forming above equilibrium receive a reduced score that decreases progressively as the FVG approaches the top of the range. The same logic is applied in reverse for bearish FVGs. HTF FVG nesting (0 to 8 points) evaluates whether the current FVG is fully contained within a higher timeframe FVG of the same direction. The indicator retrieves higher timeframe data using the configurable HTF input and checks for this containment condition. Post-sweep proximity (0 to 5 points) evaluates whether a swing level was exceeded shortly before the FVG formed. A sweep is defined as price moving beyond a swing high or swing low and then returning back within the prior range. This metric checks for that condition within a configurable lookback window. Killzone timing (0 to 4 points) evaluates whether the FVG forms during predefined session windows. The indicator converts bar time to New York time and checks against four intervals: Asian session (20:00 to 00:00), London session (02:00 to 05:00), New York AM (09:30 to 11:00), and New York PM (13:30 to 16:00). Axis 4: Structural Alignment (0 to 25 points) Market structure provides a framework for describing how price is evolving over time. This axis evaluates how the direction of an FVG relates to the current structure defined by swing highs and swing lows. The indicator identifies swing highs and swing lows using pivot detection with a configurable swing length and evaluates three sub-metrics. Market structure classification (0 to 10 points) compares the most recent swing highs and swing lows to determine whether price is forming higher highs and higher lows, lower highs and lower lows, or a mixed sequence. These conditions are labeled as bullish, bearish, or mixed. Scoring is then assigned based on the relationship between the FVG direction and the identified structure. EMA alignment (0 to 8 points) evaluates the position of price relative to a configurable Exponential Moving Average (default 50 period). For bullish FVGs, higher scores are assigned when price is positioned above the EMA, while for bearish FVGs, higher scores are assigned when price is positioned below the EMA. Scores are reduced when price is positioned on the opposite side relative to the FVG direction. Recent BOS detection (0 to 7 points) evaluates whether a Break of Structure (BOS) has occurred within a configurable lookback window (default 20 bars). A BOS is defined as price closing beyond a recent swing high or swing low. The indicator uses crossover logic to identify these events and ensures each structural break is only counted once. Scoring is based on whether a recent BOS aligns with, differs from, or is absent relative to the FVG direction. Screenshot: Showing BoS and HH Grade Assignment System Instead of using a single composite score cutoff, FVG Quality Scorer applies a per-axis threshold system for grade assignment. For each grade level (A, B, C), you can define which axes are required and the minimum score each must meet. An FVG must satisfy all required axis thresholds to be assigned a given grade. This structure ensures that each selected dimension is evaluated independently rather than relying on a single averaged value. For example, with default settings, an A grade requires all four axes to meet a minimum score of 12 out of 25. A B grade requires only the Displacement and Volume axes to meet a minimum of 12, while a C grade requires those same axes to meet a minimum of 8. Any FVG that does not meet the criteria for A, B, or C is assigned a D grade. These thresholds and required axes can be fully customized for each grade level. A weighted composite score (0 to 100) is also calculated and displayed in the score label tooltip for reference, but it does not determine the assigned grade. This allows the grading system to operate independently of the composite value. The composite score uses configurable axis weights (default 25 per axis), which can be adjusted to modify how each dimension contributes to the total score. Lifecycle State Machine Each FVG is tracked through a series of lifecycle states as price interacts with the zone, and these transitions occur automatically regardless of grade. The lifecycle begins at Fresh when the FVG forms and no candle has interacted with the zone boundary. When price first wicks into the boundary (detected using crossover logic that excludes the formation candle), the state transitions to Tested. If price closes within the zone, the state changes to Partially Filled, and the visual appearance of the box is adjusted to reflect this state. If price later closes back outside the zone, the state returns to Tested rather than Fresh, as the zone has already been interacted with. When price fully crosses through the zone, the FVG is marked as Mitigated. The definition of mitigation can be configured to require either a wick crossing or a full candle close beyond the zone. Mitigated FVGs can either be removed from the chart or remain visible as dimmed boxes using the Show Historic setting. When mitigation occurs, the right edge of the box is fixed at the candle where the event took place. The current lifecycle state is displayed in the tooltip alongside the scoring breakdown when hovering over the score label. 🔹 Dashboard The dashboard provides a statistical summary of FVG activity across the visible chart history. It is structured as a table with one row per grade (A through D) and three data columns. The Active column displays the number of unmitigated FVGs currently present on the chart for each grade. The Total column shows the total number of FVGs formed for each grade across the chart history. The Avg Fill Time column displays the average number of bars between formation and mitigation for FVGs of that grade that have been fully mitigated. This calculation includes only completed (mitigated) FVGs. A bottom row in the dashboard tracks the nearest active A-grade FVG relative to the current price. It displays the distance from the current close to the nearest boundary of the zone (the lower boundary if the FVG is above price, or the upper boundary if below), along with a directional indicator. If price is currently within an A-grade zone, the dashboard displays “Inside zone.” If no A-grade FVGs are active, it displays “None active.” The dashboard position and text size can be configured. Screenshot: Close up of the dashboard table showing all four grade rows with Active, Total, and Avg Fill Time populated. Include the Nearest A row showing a directional arrow with distance. 🔹 Score Labels and Tooltips Each FVG box displays its grade letter (A, B, C, or D) centered inside the zone. At the right edge of the box, a small label shows the composite quality score out of 100. Hovering over this label reveals a detailed tooltip with the complete scoring breakdown: the total score, the grade, individual scores for all four axes (each out of 25), and the current lifecycle state. This gives you instant access to why a particular FVG earned its grade without needing to open any settings. Score labels can be toggled off using the Show Score Labels setting if you prefer a cleaner chart. INPUTS: 🔹 Settings ◇ Swing Length: Lookback period for pivot high and pivot low detection used in market structure analysis, BOS tracking, and sweep detection. Higher values produce fewer, more significant swing points. Default 5. ◇ ATR Length: Period for the Average True Range calculation used in displacement scoring. Default 14. ◇ LTF for Volume Delta: Lower timeframe used to calculate intrabar volume delta on the displacement candle. Default 1 minute. Must be lower than the chart timeframe for accurate results. ◇ HTF for FVG Nesting: Higher timeframe checked for FVG nesting confluence. Default 60 minutes (1 hour). Should be higher than the chart timeframe. ◇ Range Lookback: Number of bars used to calculate the premium and discount range for contextual scoring. Default 50. ◇ Sweep Proximity Window: Number of bars to look back for recent liquidity sweeps when scoring post sweep proximity. Default 5. ◇ BOS/CHoCH Lookback: Maximum number of bars a Break of Structure can be from the current bar and still be considered "recent" for structural scoring. Default 20. ◇ EMA Length: Period for the Exponential Moving Average used in structural alignment scoring. Default 50. ◇ Mitigation Method: Determines how FVG invalidation is measured. Wick mode triggers mitigation when a wick crosses through the zone. Close mode requires a candle close beyond the zone. Default Wick. Screenshot of the Settings input group in TradingView showing all the configurable parameters: Swing Length, ATR Length, LTF, HTF, Range Lookback, Sweep Window, BOS Lookback, EMA Length, and Mitigation Method. 🔹 Axis Weights ◇ Displacement Weight: Relative weight applied to the Displacement Strength axis when calculating the composite score displayed in the tooltip. Higher weight increases this axis's influence on the total score. Default 25. ◇ Volume Delta Weight: Relative weight for the Volume Delta axis. Default 25. ◇ Contextual Weight: Relative weight for the Contextual Location axis. Default 25. ◇ Structural Weight: Relative weight for the Structural Alignment axis. Default 25. 🔹 Display ◇ Minimum Display Grade: Hides FVGs below this grade threshold from the chart. Set to D to show all grades, or A to show only the highest quality gaps. Default C. ◇ Show Historic (Mitigated): When enabled, mitigated FVGs remain visible as grayed out boxes instead of being removed from the chart. Useful for studying how different grade levels performed historically. Default off. ◇ Show Score Labels: Toggles the score labels at the right edge of each FVG box. Hover over the label to see the full axis breakdown tooltip. Default on. ◇ Grade Colors (A → D): Four color pickers on a single row controlling the color for each grade tier. Defaults are green (A), teal (B), amber (C), and gray (D). 🔹 Dashboard ◇ Show Dashboard: Toggles the statistics dashboard on or off. Default on. ◇ Dashboard Position: Choose from all nine screen positions (top, middle, bottom combined with left, center, right). Default Top Right. ◇ Dashboard Size: Controls the text size of the dashboard. Options are Tiny, Small, Normal, and Large. Default Small. 🔹 A Grade / B Grade / C Grade ◇ Each grade tier has its own settings group with four minimum score thresholds (one per axis, 0 to 25) and four toggle switches to select which axes are required for that grade. An FVG must meet or exceed the minimum score on every required axis to earn the grade. Grades are checked top down: A first, then B, then C. Any FVG that fails all three checks receives a D grade. Unchecking a required axis means that axis is ignored for that grade's evaluation, allowing you to create grade profiles that focus on specific quality dimensions. Screenshot of the settings panel showing the A Grade, and B Grade input groups with their min score thresholds and require toggles visible. ALERTS: ◇ New A Grade FVG: Fires when a new Fair Value Gap is detected that meets all A grade requirements. Use this to get notified of the highest quality setups without watching the chart continuously. ◇ New B Grade FVG: Fires when a new Fair Value Gap is detected that meets B grade requirements but does not qualify for A grade. UNIQUENESS: Many FVG indicators on TradingView focus on detecting gaps and may include basic filtering based on size or direction. FVG Quality Scorer extends this approach by evaluating each gap across multiple dimensions, including lower timeframe volume distribution, higher timeframe positioning, market structure classification, and session-based context. These factors are combined into a structured scoring framework. The axis-based grading system provides an alternative to single-threshold scoring methods. Instead of relying on a single composite cutoff, each grade level is determined by minimum requirements across selected axes. This ensures that each specified dimension meets defined criteria rather than being offset by higher values in other areas. The lifecycle state system tracks how each FVG evolves as price interacts with the zone, while the dashboard aggregates metrics such as counts and average bars to mitigation across grade levels. These features provide a structured way to review how FVGs have behaved over the selected chart history and to adjust grading configurations accordingly.
Pine Script® indicator
by fluxchart
3
Hull MA Trend Zones [AGPro Series]Hull MA Trend Zones 📌 Overview Hull MA Trend Zones is a premium HMA trend overlay built for traders who want a cleaner way to read Hull Moving Average direction, slope quality, and pullback behavior. The script is centered on one clear idea: a strong HMA trend should not only move above or below a moving average; it should show measurable slope, orderly ribbon structure, and controlled pullback behavior around the active HMA path. Instead of presenting a crowded moving average wall, the script uses a focused three-line HMA structure, a subtle pullback band, and concept-native trend zones that are tied directly to the active Hull MA state. ⚙️ How It Works The engine calculates a fast HMA, an anchor HMA, and a slow HMA. The anchor HMA is the main decision line. Its slope is normalized with ATR so the script can judge whether the current Hull MA movement is weak, transitional, or directional. The ribbon structure then checks whether the fast, anchor, and slow HMA lines are aligned. This separates clean trend movement from mixed or unstable movement. Finally, the pullback layer evaluates whether price is extending away from the HMA, testing the HMA zone, holding the HMA zone, rejecting from the HMA zone, or failing the active trend path. 🧭 What The Script Shows - HMA ribbon for clean trend direction. - ATR-based HMA pullback band around the anchor HMA. - Rectangular HMA slope zones created from active directional states. - Confirmed, quality-gated Bull Turn and Bear Turn labels. - Optional Hold and Reject labels for pullback events. - A compact AGPro panel with HMA State, Slope Strength, Pullback Status, and Quality Score. 📊 AGPro Panel The panel is designed for fast scanning without taking over the chart. HMA State shows whether the active read is bullish, bearish, transitional, or neutral. Slope Strength converts the anchor HMA slope into a clear percentage-style reading. Pullback Status explains whether price is extending, testing, holding, rejecting, or failing the HMA trend zone. Quality Score combines slope strength, ribbon alignment, and pullback behavior into a single 0-100 reading. 🎯 What Makes It Different Hull MA Trend Zones is not a generic moving average ribbon, not a ribbon compression map, and not a broad support/resistance tool. Its focus is narrower and more practical: HMA slope, HMA trend-zone behavior, and pullback-to-HMA quality. The rectangular zones are not drawn as generic support or resistance. They are HMA slope zones created from the active trend state and the ATR-sized HMA pullback area. This keeps the script visually useful while avoiding overlap with broader zone, corridor, or compression-style indicators. The default visual design is intentionally restrained. Pullback labels are optional, turn labels require confirmation and a minimum quality score, and old zones are capped so the chart keeps a cleaner premium look on both intraday and higher-timeframe charts. 🔧 Key Settings Fast HMA Length controls the responsive side of the ribbon. Anchor HMA Length controls the main trend path, slope state, pullback band, and panel logic. Slow HMA Length helps identify whether the HMA ribbon is aligned or still transitional. Slope Lookback and Trend Slope Threshold control how selective the HMA state engine is. Zone Width ATR controls the height of the HMA pullback band and slope-zone area. Zone Forward Bars controls how far the active slope zone projects while the same trend state remains valid. Turn Confirmation and Minimum Turn Label Score control how selective the default turn labels are. Label Cooldown Bars, Max Visible Labels, and Label Offset ATR keep chart density suitable for publication-quality screenshots. Panel Location, Panel Theme, Label Font Size, and Panel Font Size are adjustable. ✅ Suggested Use Use Hull MA Trend Zones to study trend continuation, Hull MA pullback quality, HMA slope transitions, and cleaner moving-average trend behavior. It is especially useful when you want an HMA-focused overlay that remains readable on active charts and avoids the clutter of large multi-average systems. The script is designed as a public-free AGPro Series tool with a clean visual identity, a focused HMA concept, and a TradingView-safe publication structure.
Pine Script® indicator
by AGProLabs
1
Heikin Ashi Trend Zones [AGPro Series]Heikin Ashi Trend Zones Heikin Ashi Trend Zones is a clean overlay built for traders who like the smoothing behavior of Heikin Ashi but still want to keep the original market candles visible. Instead of repainting the chart with synthetic candles, the script reads the internal Heikin Ashi state in the background and converts it into a focused trend-state layer. The engine follows four core ideas: 1. Internal HA Side The script calculates the active Heikin Ashi side from synthetic HA open and close values, then filters weak neutral bodies so the state does not flip on every small candle. 2. HA Streak Quality The panel tracks how long the current HA side has been active. This helps separate early state changes from mature continuation phases. 3. Optional Transition Zones When the HA side changes with enough body strength, wick cleanliness, close location, ATR pressure, and prior-state maturity, the script can project a compact rectangular transition zone. This layer is disabled by default so the public chart view stays clean, but it remains available for traders who want to inspect HA changeover corridors. 4. Continuation Quality Once a HA streak matures, the script scores continuation quality using body strength, wick cleanliness, close location, smoothed HA slope, streak depth, and ATR context. Labels appear only when the continuation score is strong enough and the cooldown rules allow a clean chart presentation. What makes this script different - It does not replace real candles with Heikin Ashi candles. - It does not behave like a generic trend-following dashboard. - It focuses on HA state transitions, HA streak maturity, and continuation quality. - Optional transition boxes are concept-native HA corridors, not broad horizontal support/resistance zones. - Label density is capped with cooldown and maximum visible label controls. - The panel exposes HA side, streak, transition quality, continuation quality, and ATR context in a compact AGPro layout. Visual design The overlay stays restrained: - A slim trend-state ribbon follows the smoothed HA path. - Optional transition zones can extend forward as compact rectangles when enabled. - Continuation labels are offset from candles with ATR spacing. - Panel location, panel theme, panel font size, and label font size are adjustable. Suggested usage Use the script to study whether Heikin Ashi structure is shifting, stabilizing, or continuing while the original candles remain visible. The strongest reads usually come from alignment between a clean HA side, a growing streak, strong continuation quality, and an ATR context that supports the current state. Default settings are tuned for a balanced public chart view with a clean ribbon and selective continuation labels. Faster traders can reduce smoothing and cooldown values. Swing traders can enable transition zones, increase transition projection, and require higher continuation quality for fewer labels.
Pine Script® indicator
by AGProLabs
MR DU Elliott Wave FOR IX0001Curtis, here's the English translation: 🌊 Complete Elliott Wave Structure Breakdown for Taiwan Stock Market (Figure 3-167) Starting Point: Beginning of the 8th Major Stock Market Cycle Key LevelDate (ROC Calendar)Description3,955.43 (Cycle Low)Nov 21, 2008 (ROC 97)Previous cycle trough; declined 5,904 points / -59.88%22,975.71 (Opening)Jan 2, 2025 (ROC 114)Observation starting point for this cycle Wave I (Initial Advance) Start: 17,306.97 (Apr 9, 2025 — tariff-shock low) High: 28,594.61 (Nov 4, 2025) Gain: +11,787.19 points (+68.16%) Wave II (Corrective Wave) Multiple minor pullbacks within the correction zone: 25,469.04 (Sep 26, 2025): down 924.99 pts / -3.50% 26,395.98 (Nov 21, 2025): down 2,158.63 pts / -7.56% 27,350.77 (Dec 28, 2025): down 1,217.25 pts / -4.26% Although consolidation lasted roughly 5 months, the magnitude remained moderate. Wave III (Main Advance) — Current Position MilestoneDateLevelCumulative GainWave III startApr 9, 202517,306.97—Wave I highNov 4, 202528,594.61+65.22%Wave II highJan 29, 202632,090.07+85.4%Wave III peakFeb 26, 202635,579.34+105.58%Pullback lowMar 9, 202631,529.36Down 4,049.98 pts / -11.38%V-shaped new highApr 16, 202637,135.55+114.57%Closing priceApr 16, 202637,132.02YTD +28.02% Wave III has now lasted 13 months, consistent with Teacher Du's original forecast of "April 2025 to April 2026, totaling 13 months." 📐 Fibonacci Target Price Calculations Teacher Du provided two methods for calculating target levels: 1.618× target zone: 11,787 × 1.618 + 17,096 ≈ 36,378 points (already reached during the initial advance) 2.0× target zone: 11,787 × 2.0 + 17,306 ≈ 40,880 points (maximum extension target for the main advance) Assessment: The main advance could end around 36,378 (already surpassed). If it extends further, the upper limit is approximately 40,880. At 37,135, the index has already exceeded the 1.618× target, meaning the main advance may conclude at any time, transitioning into the Wave IV correction. Wave IV (Corrective Phase) — Approaching Pattern: A 5-month sideways a-b-c-x-a-b-c-x box-range consolidation ("correction through time rather than price") Estimated low: approximately 31,000 points (-16.5% from 37,135) Expected bottom: before the October 2026 local elections Strategic implication: Do not chase rallies in Q2/Q3 2026; wait patiently for the pullback. Wave V (Final Advance) — Launching October 2026 Rally starting point: approximately 31,000 points Price target: 43,000 points by May 2027 Volume: combined TWSE + OTC turnover expected to expand to NT$2.4 trillion TSMC target price: NT$2,400
Pine Script® indicator
by curtischangTW
Opening Range Failure Zones [AGPro Series]📌 Bollinger Walk Quality Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail? Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, directional pressure around the outer lane, pullback quality inside the band structure, and the point where the walk begins to lose control. The goal is to make Bollinger Band continuation easier to read directly on the chart. Instead of treating every band touch as meaningful, the script scores whether price is staying in the correct outer lane, whether the Bollinger basis supports the active direction, whether pressure is persisting across multiple bars, and whether a pullback is holding in a healthy continuation pocket. 🧭 What The Script Measures 1. Walk Side The panel identifies whether the active environment is an Upper Walk, Lower Walk, Cooling Walk, or Neutral state. Upper Walk means price is persistently operating near the upper Bollinger lane while the basis supports upward continuation pressure. Lower Walk means price is persistently operating near the lower Bollinger lane while the basis supports downward continuation pressure. Cooling states appear when a recent walk is no longer fully active, but the script is still monitoring pullback quality and failure risk for a limited memory window. 2. Band Pressure Band Pressure is a quality score for the active or developing walk. It combines outer-lane position, persistence, band contact behavior, basis slope support, and candle direction. A higher score means the walk has stronger structural pressure. A lower score means price is no longer showing durable outer-band control. This keeps the script focused on continuation quality instead of simple band interaction. The chart can show a band touch, but the panel helps separate a weak touch from a real band-walk environment. 3. Pullback Quality Healthy band walks often reset toward the middle of the Bollinger structure before continuing. Bollinger Walk Quality tracks that reset through a concept-native pullback pocket. The pullback pocket is not a generic support or resistance rectangle. It is projected from the current Bollinger structure and represents the area where a band walk can cool off while still keeping its continuation profile intact. The panel can show states such as Awaiting Pullback, Testing Pocket, Clean Hold, or Weak Reset. This helps distinguish a controlled continuation reset from a walk that is losing quality. 4. Failure Risk Failure Risk is designed to catch the moment when an active or recently active band walk starts to break down. It rises when price loses the outer lane, pressure falls, the basis slope weakens, or price begins to threaten the Bollinger basis. The failure label is intentionally restrained. It appears only on fresh failure events, so the chart remains clean and readable instead of filling with repeated warnings. 🎯 Core Features - Outer-band walk detection for upper and lower Bollinger continuation phases - Band pressure scoring based on lane position, persistence, slope support, and band contact behavior - Pullback-to-band quality state for continuation resets - Projected pullback pockets that show where a healthy walk can reset without losing structure - Failure warning labels when the active walk loses pressure or threatens the basis - Clean AG Pro panel with walk side, band pressure, pullback quality, and failure risk - Adjustable panel location, theme, font sizes, label spacing, label clearance, zone projection, and visual density 📊 Visual Design The default view is designed for a clean public TradingView chart. The script displays Bollinger Bands, highlights the active walk track, projects a limited number of pullback zones, and uses event labels with spacing controls. Labels are anchored outside the local candle envelope so they do not disappear inside candles or cover important price action. The chart remains active enough to be visually informative, but the object count and label density are controlled by default. This keeps the indicator suitable for repeated use across different symbols and timeframes. 🧩 Panel The AG Pro panel summarizes the current state in four compact rows: - Walk Side - Band Pressure - Pullback Quality - Failure Risk Panel location, panel theme, panel font size, label font size, label spacing, label clearance, zone projection, zone opacity, and object limits are all adjustable from the settings menu. 🔎 How This Is Different Bollinger Walk Quality is not a squeeze map and does not rely on compression logic. It does not use Keltner confirmation, volatility percentile ranking, or width contraction states. Its lane is continuation after expansion: - Is price walking the band? - Which side controls the walk? - Is the walk supported by pressure and basis slope? - Is the pullback still healthy? - Is the walk beginning to fail? That makes it a separate Bollinger Band workflow from squeeze-focused tools. It is designed for traders who want to evaluate trend continuation rhythm, pullback behavior, and outer-band pressure in a more structured way. ✅ Best Use Cases - Studying Bollinger Band walk continuation - Reviewing trend pressure after expansion - Identifying controlled pullbacks inside active band-walk environments - Monitoring when a walk is cooling or losing quality - Comparing upper-band and lower-band pressure across market phases - Keeping Bollinger Band continuation analysis clean and visual ⚙️ Settings Overview Engine settings control the Bollinger length, multiplier, source, basis slope lookback, and ATR normalization. Band Walk Logic settings control the outer-lane depth, minimum walk persistence, minimum walk score, pullback memory, and failure warning threshold. Visual settings control Bollinger Bands, walk highlight, pullback zones, event labels, label spacing, label count, label offset, label clearance, and label font size. Pullback Zone settings control zone projection length, maximum visible zones, and opacity. Panel settings control the information panel, location, theme, and font size. 🏁 Design Intent Bollinger Walk Quality is designed to make Bollinger Band continuation more readable without turning the chart into a crowded signal dashboard. The script focuses on structure, persistence, pullback quality, and failure behavior. It gives the chart a clear visual rhythm while keeping the panel concise and the labels controlled. This makes the script useful as a premium public Bollinger continuation tool and keeps it clearly differentiated from Bollinger squeeze, compression, and volatility expansion maps.
Pine Script® indicator
by AGProLabs
Bollinger Walk Quality [AGPro Series]📌 Bollinger Walk Quality Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail? Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, directional pressure around the outer lane, pullback quality inside the band structure, and the point where the walk begins to lose control. The goal is to make Bollinger Band continuation easier to read directly on the chart. Instead of treating every band touch as meaningful, the script scores whether price is staying in the correct outer lane, whether the Bollinger basis supports the active direction, whether pressure is persisting across multiple bars, and whether a pullback is holding in a healthy continuation pocket. 🧭 What The Script Measures 1. Walk Side The panel identifies whether the active environment is an Upper Walk, Lower Walk, Cooling Walk, or Neutral state. Upper Walk means price is persistently operating near the upper Bollinger lane while the basis supports upward continuation pressure. Lower Walk means price is persistently operating near the lower Bollinger lane while the basis supports downward continuation pressure. Cooling states appear when a recent walk is no longer fully active, but the script is still monitoring pullback quality and failure risk for a limited memory window. 2. Band Pressure Band Pressure is a quality score for the active or developing walk. It combines outer-lane position, persistence, band contact behavior, basis slope support, and candle direction. A higher score means the walk has stronger structural pressure. A lower score means price is no longer showing durable outer-band control. This keeps the script focused on continuation quality instead of simple band interaction. The chart can show a band touch, but the panel helps separate a weak touch from a real band-walk environment. 3. Pullback Quality Healthy band walks often reset toward the middle of the Bollinger structure before continuing. Bollinger Walk Quality tracks that reset through a concept-native pullback pocket. The pullback pocket is not a generic support or resistance rectangle. It is projected from the current Bollinger structure and represents the area where a band walk can cool off while still keeping its continuation profile intact. The panel can show states such as Awaiting Pullback, Testing Pocket, Clean Hold, or Weak Reset. This helps distinguish a controlled continuation reset from a walk that is losing quality. 4. Failure Risk Failure Risk is designed to catch the moment when an active or recently active band walk starts to break down. It rises when price loses the outer lane, pressure falls, the basis slope weakens, or price begins to threaten the Bollinger basis. The failure label is intentionally restrained. It appears only on fresh failure events, so the chart remains clean and readable instead of filling with repeated warnings. 🎯 Core Features - Outer-band walk detection for upper and lower Bollinger continuation phases - Band pressure scoring based on lane position, persistence, slope support, and band contact behavior - Pullback-to-band quality state for continuation resets - Projected pullback pockets that show where a healthy walk can reset without losing structure - Failure warning labels when the active walk loses pressure or threatens the basis - Clean AG Pro panel with walk side, band pressure, pullback quality, and failure risk - Adjustable panel location, theme, font sizes, label spacing, label clearance, zone projection, and visual density 📊 Visual Design The default view is designed for a clean public TradingView chart. The script displays Bollinger Bands, highlights the active walk track, projects a limited number of pullback zones, and uses event labels with spacing controls. Labels are anchored outside the local candle envelope so they do not disappear inside candles or cover important price action. The chart remains active enough to be visually informative, but the object count and label density are controlled by default. This keeps the indicator suitable for repeated use across different symbols and timeframes. 🧩 Panel The AG Pro panel summarizes the current state in four compact rows: - Walk Side - Band Pressure - Pullback Quality - Failure Risk Panel location, panel theme, panel font size, label font size, label spacing, label clearance, zone projection, zone opacity, and object limits are all adjustable from the settings menu. 🔎 How This Is Different Bollinger Walk Quality is not a squeeze map and does not rely on compression logic. It does not use Keltner confirmation, volatility percentile ranking, or width contraction states. Its lane is continuation after expansion: - Is price walking the band? - Which side controls the walk? - Is the walk supported by pressure and basis slope? - Is the pullback still healthy? - Is the walk beginning to fail? That makes it a separate Bollinger Band workflow from squeeze-focused tools. It is designed for traders who want to evaluate trend continuation rhythm, pullback behavior, and outer-band pressure in a more structured way. ✅ Best Use Cases - Studying Bollinger Band walk continuation - Reviewing trend pressure after expansion - Identifying controlled pullbacks inside active band-walk environments - Monitoring when a walk is cooling or losing quality - Comparing upper-band and lower-band pressure across market phases - Keeping Bollinger Band continuation analysis clean and visual ⚙️ Settings Overview Engine settings control the Bollinger length, multiplier, source, basis slope lookback, and ATR normalization. Band Walk Logic settings control the outer-lane depth, minimum walk persistence, minimum walk score, pullback memory, and failure warning threshold. Visual settings control Bollinger Bands, walk highlight, pullback zones, event labels, label spacing, label count, label offset, label clearance, and label font size. Pullback Zone settings control zone projection length, maximum visible zones, and opacity. Panel settings control the information panel, location, theme, and font size. 🏁 Design Intent Bollinger Walk Quality is designed to make Bollinger Band continuation more readable without turning the chart into a crowded signal dashboard. The script focuses on structure, persistence, pullback quality, and failure behavior. It gives the chart a clear visual rhythm while keeping the panel concise and the labels controlled. This makes the script useful as a premium public Bollinger continuation tool and keeps it clearly differentiated from Bollinger squeeze, compression, and volatility expansion maps.
Pine Script® indicator
by AGProLabs
FVG with Probabilities | GainzAlgoFVG with Probabilities The FVG Quality Engine v5.1 is a high-performance, institutional-grade toolkit specifically designed for the volatile nature of 0DTE options and lower-timeframe scalp trading. Unlike standard gap detectors, this engine utilizes a complex scoring model to quantify the probability of a Fair Value Gap (FVG) holding or failing in real-time. The Theory of the Fair Value Gap (FVG) At its core, a Fair Value Gap represents a market imbalance. It is a three-candle sequence where price moves so rapidly that it leaves behind a structural void where only one side of the market was efficiently filled. The Displacement: An FVG is only as strong as the energy behind it. This indicator requires displacement, meaning the candle must be large relative to volatility (ATR) and possess a solid body with minimal wicks. The Rebalance Magnet: Price has a natural tendency to return to these imbalances to find fair value. The engine tracks the Consequent Encroachment (CE), or the 50% midpoint of the gap, which often serves as the most sensitive reaction level. Inversion (IFVG): When price fails to respect an FVG and instead closes with displacement on the opposite side, the gap flips. A bullish FVG that is closed through becomes a bearish resistance zone, known as an Inversion FVG. The Quality Scoring Model: Probabilities and Values The indicator calculates a probability score for every gap (clamped between 4% and 85%) to help distinguish between low-quality noise and high-confluence setups. This is a weighted logit model based on eight key factors: P/D Alignment (1.5x Weight): Checks if a long is in discount or a short is in premium relative to recent swing points. Market Structure (1.3x Weight): Alignment with a recent Break of Structure (BOS). Size/ATR Ratio (1.2x Weight): Gaps that are too small or excessively large relative to volatility are downgraded. Trend & HTF (1.0x Weight): Alignment with the 20/50 EMA stack and the 200 HTF EMA. Volatility Regime (0.9x Weight): Higher scores during expansion, reduced scores during compression. Volume (0.8x Weight): Uses Relative Volume (RVOL) to confirm institutional participation. Killzones (0.7x Weight): Gaps formed during London or New York sessions receive a boost. Comprehensive Menu Inputs FVG Detection & Displacement Min FVG Size (ATR x): Controls sensitivity. Default of 0.3 ATR ensures meaningful gaps only. Require Displacement: Middle candle must meet a minimum body-to-range ratio (default 0.6). IFVG Rules (The Flip Logic) Track IFVGs: Enables conversion of failed gaps into inversion zones. Min Close Dist: Requires price to close at least 0.3 ATR beyond the gap. Req Aligned BOS: Strict filter requiring a structural break for IFVG validation. Signal Engine Signal Mode Choose between Trend Only, Reversal Only, or Both. Require Confirmation: Waits for opposing displacement after FVG/OB/Sweep interaction. Trigger on CE Tap: Signals when price taps the 50% level of a high-quality FVG. Time-of-Day Filter Skip First/Last N Minutes: Avoids open volatility and end-of-day noise. Skip Lunch: Filters out low-volume periods between 11:30 and 13:30 NY time. How to Use the Indicator Step 1: Identify the Bias: Use the dashboard to determine if the setup is trend or reversal. Look for EMA alignment: 20 EMA above 50 EMA and price above 200 EMA. Step 2: Filter by Quality: Focus only on gaps labeled H (High) or M (Medium). High-quality gaps (>65%) indicate strong confluence. Step 3: Entry Confluence: The best entries occur at A+ tier setups. These happen when price retests a high-scoring FVG or OB within a killzone and is followed by confirmation. Step 4: Managing Inversions: If a bullish gap fails, do not ignore it. Watch for it to flip into a purple IFVG, acting as resistance for potential reversal or continuation.
Pine Script® indicator
by GainzAlgo
Ladder Planner v6 (Live, Compact RR)Ladder Planner v6 is a position-planning tool for scaling into a trade in multiple steps. Set a start price and end price, and the script automatically builds a ladder of entries, calculates position sizing from your capital and risk settings, places an ATR-based stop from the last step, and shows a compact summary of total size, capital used, max risk, and projected profit at your chosen reward-to-risk ratio. How to use it: Add the script to your chart. Drag the Start Price and End Price anchors to define your ladder range. Set your Max Capital Allocated and Total Risk % of Allocated Capital. Choose the Number of Splits and the Split Weighting mode. Adjust Daily ATR Length, Stop Loss in Daily ATR Units, and Reward:Risk Ratio. Review the ladder lines, average entry, take-profit line, and compact summary table. If Start is above End, the script treats it as a long ladder. If Start is below End, it treats it as a short ladder.
Pine Script® indicator
by andreytradinguk
Stock_Screener_EUHere is the professional English version of your Institutional Trinity Screener summary. Executive Summary: Institutional Trinity Screener The Institutional Trinity Screener System is a high-performance quantitative tool designed to identify stocks exhibiting superior relative strength and institutional momentum. It operates on a Top-Down methodology, analyzing capital flows from the broad market down to sectors and individual equities. Core Functionalities 1. The "Holy Trinity" of Relative Strength (Alpha Focus) The screener calculates three critical performance ratios in real-time to ensure alignment with "Smart Money": Stock vs. Market (RRSI): Identifies market leaders that are outperforming the primary benchmark (SPY/SXXP). Stock vs. Sector: Filters for the "Alpha Wolves"—the strongest individual performers within a specific industry. Sector vs. Market: Confirms if the stock is supported by an institutional "tailwind" (sector rotation). 2. Adaptive Setup Engine (S1–S5) Rather than relying on lagging indicators, the system identifies five specific institutional trading scenarios: S1 (Power Breakout): High-momentum breakouts from tight consolidations near 52-week highs. S2 (Tightness): Volatility contraction on low volume, indicating a supply-demand equilibrium (VCP characteristics). S3 (EMA Pullback): Precise retracements to institutional support levels (EMA 21). S4/S5 (Phoenix/Ignition): Trend reversal setups fueled by massive volume impact at the EMA 200. 3. Institutional Confirmation (Footprint Analysis) Every signal is validated by three technical "vital signs": Relative Volume (RVol): Measures whether institutional intervention is present. True Strength Index (TSI): Confirms mathematical trend integrity and momentum speed. ATR Percentage: Evaluates the daily range to ensure the stock offers sufficient "meat on the bone" for professional profit targets. Operational Workflow Screening: Filter thousands of stocks for Setup-Case > 0 and an RRSI > 60. System Objective: To eliminate "random trades" by focusing exclusively on stocks where significant institutional capital is demonstrably flowing.
Pine Script® indicator
by michaela_geiger83
Volatility Prism [JOAT]Volatility Prism Introduction Volatility Prism is an open-source dual Bollinger Band envelope system with percentile-based bandwidth squeeze detection and Stochastic RSI confirmation. It renders two independent envelopes — an inner band at a configurable standard deviation multiplier and an outer band at a wider multiplier — with gradient fills that color dynamically based on whether price is in a bullish or bearish position relative to the moving average basis. When the bandwidth compresses to a historically low percentile, a squeeze state is declared. When the squeeze releases, an expansion signal fires. The problem Volatility Prism solves is that volatility states are cyclical: periods of compression (squeeze) reliably precede periods of expansion (breakout), and the direction of the breakout is where the opportunity lies. By combining a statistically-based squeeze detector — which uses percentile thresholds rather than fixed bandwidth levels — with Stochastic RSI extreme confirmation, Volatility Prism identifies both the compression state and the likely directional bias of the coming expansion simultaneously. Core Concepts 1. Dual Bollinger Band Structure Two separate Bollinger Band pairs share the same basis (SMA of the source) but use different standard deviation multipliers. The inner band (default 2.0x) is the primary envelope. The outer band (default 3.0x) defines the extreme extension zone. Price trading beyond the inner band but inside the outer band is in the elevated zone. Price trading beyond the outer band is in a statistical extreme: basis = ta.sma(src, bbLen) dev = ta.stdev(src, bbLen) upper1 = basis + bbMult1 * dev // Inner upper lower1 = basis - bbMult1 * dev // Inner lower upper2 = basis + bbMult2 * dev // Outer upper lower2 = basis - bbMult2 * dev // Outer lower The trend bias is determined by whether the close is above or below the basis. When bullish, all envelope lines and fills render in the bullish color. When bearish, they render in the bearish color. This makes the trend state immediately visible from the envelope color alone. 2. Gradient Envelope Fills Four gradient fills create the visual envelope structure. The inner fills gradient from a near-opaque shade at the band edge to a nearly transparent shade at the basis, creating a density effect that visually represents how far price is from the center. The outer fills extend this gradient into the extreme zone at reduced opacity, cleanly separating the normal, elevated, and extreme price zones: fill(basisPlot, upper1Plot, upper1, basis, color.new(envCol, 85), color.new(envCol, 98), "Upper Inner Fill") fill(upper1Plot, upper2Plot, upper2, upper1, color.new(envCol, 75), color.new(envCol, 88), "Upper Outer Fill") 3. Percentile-Based Bandwidth Squeeze Detection The bandwidth (the width of the inner band as a percentage of the basis) is computed on each bar and added to a rolling history array of configurable length. The current bandwidth is compared to the percentile threshold of that history — if the current bandwidth is below the configured percentile (default 15th percentile), the squeeze state is active: bandwidth = basis > 0 ? (upper1 - lower1) / basis * 100 : 0.0 // Sort history and find threshold at configured percentile threshIdx = int(array.size(sorted) * sqzPctile / 100) - 1 sqzThreshold = array.get(sorted, threshIdx) isSqueezing = bandwidth <= sqzThreshold This approach adapts to the instrument and timeframe automatically — a 15th percentile squeeze on a low-volatility bond future and on a high-volatility crypto asset will both correctly identify when that specific instrument is in an unusually compressed state relative to its own history. 4. Stochastic RSI Extreme Confirmation The Stochastic RSI (an oscillator that applies Stochastic logic to RSI values) provides momentum extreme confirmation. Overbought and oversold readings from the K and D lines confirm when band extremes coincide with momentum extremes, strengthening band rejection signals: rsiVal = ta.rsi(src, rsiLen) stochVal = ta.stoch(rsiVal, rsiVal, rsiVal, stochLen) kLine = ta.sma(stochVal, smoothK) dLine = ta.sma(kLine, smoothD) stochOB = kLine > upperLim and dLine > upperLim // Overbought stochOS = kLine < lowerLim and dLine < lowerLim // Oversold 5. Band Rejection Signals and Squeeze Breakout Three signal types are generated. Bullish band rejection fires when price was below the inner lower band on the previous bar and closes back above it, with Stochastic RSI confirming oversold — a failed breakdown with momentum confirmation. Bearish band rejection fires on the symmetric condition above the inner upper band. Squeeze Breakout fires on the first bar that transitions from squeeze to non-squeeze state — the moment the bandwidth begins expanding: bearRejection = close > upper1 and close <= upper1 and stochOB bullRejection = close < lower1 and close >= lower1 and stochOS sqzBreakout = isSqueezing and not isSqueezing 6. Band Price Labels at the Right Edge All five band lines (U2, U1, MA, L1, L2) receive price labels at the right edge of the chart. These labels update every bar to show the current price of each level, eliminating the need to hover over lines or read the y-axis to determine band values: if barstate.islast and showBandLbls lblU2 := label.new(bar_index + 2, upper2, "U2 " + str.tostring(upper2, format.mintick), style=label.style_label_right, ...) Features Dual Bollinger Band envelopes: Inner and outer bands with independently configurable multipliers Adaptive gradient fills: Four gradient fills (inner upper, inner lower, outer upper, outer lower) color dynamically with trend bias Dynamic trend coloring: All envelope elements switch between bullish and bearish colors based on close vs. basis Percentile-based squeeze detection: Bandwidth compared to a configurable percentile of its rolling history — adapts to any instrument's volatility profile Configurable squeeze lookback: Rolling bandwidth history window from 20 to 500 bars Squeeze background shading: Optional chart background shading during active squeeze state Stochastic RSI confirmation: K and D line extreme zones confirm band rejection signal quality Three signal types: Bull Rejection, Bear Rejection, and Squeeze Breakout markers with distinct shapes Band price labels at right edge: Live price labels for all five band levels (U2, U1, MA, L1, L2) at bar_index + 2 Institutional dashboard (top right): 11-row table with Volatility state (SQUEEZE/EXPANDING), Bandwidth %, Trend, StochRSI state, K and D values, Basis price, and Envelope range Fully configurable inputs: BB length, both multipliers, squeeze lookback and percentile, Stochastic RSI parameters, and all colors independently adjustable Alerts: Bull Rejection, Bear Rejection, Squeeze Breakout, and Squeeze Entry alertconditions Input Parameters Bollinger Bands: Source: Price source (default: close) BB Length: MA and standard deviation period (default: 20) Inner Mult: Standard deviation multiplier for inner bands (default: 2.0) Outer Mult: Standard deviation multiplier for outer bands (default: 3.0) Squeeze Detection: Bandwidth Lookback: Rolling history window for percentile calculation (default: 120 bars) Squeeze Percentile: Bandwidth percentile below which squeeze is active (default: 15th) Stochastic RSI: K Smoothing (default: 3), D Smoothing (default: 3) RSI Length (default: 14), Stochastic Length (default: 14) Overbought level (default: 80), Oversold level (default: 20) Display: Show Dashboard toggle Squeeze Background toggle Band Price Labels toggle Bullish Envelope color, Bearish Envelope color, Basis Line color, Squeeze Background color How to Use This Indicator Step 1: Identify the Volatility State The dashboard's Volatility row shows SQUEEZE (yellow) or EXPANDING (gray). When SQUEEZE is active, the chart background shades yellow. A squeeze state means bandwidth has compressed to a historically low percentile — the market is loading energy for a directional move. Step 2: Watch for Squeeze Breakout Signals The cross (x) marker appears at the first bar that exits a squeeze. This is the moment bandwidth begins expanding. The direction of the breakout bar (bullish or bearish candle) combined with the trend color of the envelope provides the directional lean for the expansion phase. Step 3: Interpret Envelope Color for Trend Bias When all envelope elements are teal, price is above the basis — bullish bias. When all elements are orange, price is below the basis — bearish bias. Use the envelope color as a continuous trend indicator overlaid directly on the price. Step 4: React to Band Rejection Diamonds Diamond markers at the band edge indicate price failed to sustain a move beyond the inner band and recovered inside, with Stochastic RSI confirming the extreme. These are mean-reversion entry signals — price rejected the statistical extreme with momentum confirmation. Step 5: Reference Band Price Labels The right-edge labels show the current price of each band level. Use these when planning take-profit targets (opposite band) or stop-loss placement (outer band beyond entry) without needing to manually read prices from band lines. Indicator Limitations The squeeze detector requires a minimum of sqzLen bars of bandwidth history to activate. On short charts or immediately after the indicator is applied, the squeeze state will not register until enough history is accumulated The percentile-based squeeze threshold adapts to the lookback window. A longer lookback produces a more stable threshold; a shorter lookback adapts faster but may produce more frequent squeeze entries and exits Band rejection signals require the close to recover inside the band on the bar immediately following the outside close. Multi-bar breakouts that recover more slowly are not detected as rejections Squeeze Breakout markers fire on the first bar exiting a squeeze regardless of candle size or direction. They do not independently confirm the breakout direction — the envelope trend color and Stochastic RSI must be used to assess directional bias Stochastic RSI is a double-transformed oscillator (RSI → Stochastic). It can reach and hold extreme levels for extended periods in strong trends, producing frequent overbought or oversold readings that reduce the specificity of band rejection confirmation Originality Statement Volatility Prism is original in its adaptive, percentile-based squeeze detection combined with a dual-envelope gradient structure and Stochastic RSI extreme confirmation with right-edge band price labels. This indicator is published because: Using the rolling percentile of bandwidth history — rather than fixed bandwidth values or the classic Keltner Channel comparison method — for squeeze detection provides an instrument-adaptive and timeframe-adaptive threshold that requires no manual calibration The dual-envelope structure (inner and outer bands) with four independent gradient fills that change color based on real-time trend bias creates a visually rich, information-dense chart overlay without adding separate indicator panes The right-edge band price labels for all five band levels eliminate a common usability friction point in Bollinger Band analysis, where traders must hover over lines or estimate prices from the y-axis scale The three-signal system (Bull Rejection, Bear Rejection, Squeeze Breakout) operating from two independent mechanisms (band geometry + Stochastic RSI for rejections, bandwidth percentile for breakout) provides distinct signal categories suited to different trading styles Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Bollinger Bands and Stochastic RSI readings are historical statistical tools. Squeeze states can persist for extended periods without producing a breakout, and breakouts can occur in either direction. Band rejection signals do not guarantee price will reverse from the band. Always use proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator. -Made with passion by jackofalltrades
Pine Script® indicator
by officialjackofalltrades
MU indicator ict The indicator plots 4 ICT concepts directly on your chart: 1. Fair Value Gaps (FVG) Colored boxes that appear when there's an imbalance between 3 candles — price tends to come back and fill these. Green = bullish gap, Red = bearish gap. 2. Order Blocks (OB) Boxes that mark the last candle before a big move — these are areas where institutions placed orders. Blue = bullish OB, Orange = bearish OB. 3. Liquidity Sweeps Dotted lines at swing highs and lows (where stop losses cluster). When price wicks through one and closes back, it labels it "SWEEP ↑" or "SWEEP ↓" — this signals a potential reversal. 4. Market Structure Shift (MSS) When price breaks a key swing high or low, it labels it "MSS ▲" or "MSS ▼" — this tells you the trend may be changing direction. The idea is you look for these concepts to line up — for example, a liquidity sweep into an order block with an FVG nearby, followed by an MSS, is a classic ICT entry signal. Want me to add anything else to it, like Killzones, NWOG/NDOG, or Premium/Discount zones?
Pine Script® indicator
by miles113
Auto Swings + 4H / 1H / 5m Trend (FULL + ALL TF ALERT)🔥 1. Що таке “ALL TF” Це коли всі три таймфрейми синхронні: 4H = LONG 1H = LONG 5m = LONG 👉 = сильний висхідний тренд Або: 4H = SHORT 1H = SHORT 5m = SHORT 👉 = сильний низхідний тренд 🔹 2. Як це визначається в коді allLong = trend4H == 1 and trend1H == 1 and trend5m == 1 allShort = trend4H == -1 and trend1H == -1 and trend5m == -1 📌 Просто і чітко: всі = 1 → LONG всі = -1 → SHORT 🔹 3. Головне — без повторів Щоб не було спаму алертів, додано: var int prevALL = 0 І логіка: allLongSignal = allLong and prevALL != 1 allShortSignal = allShort and prevALL != -1 👉 Це означає: сигнал тільки коли вперше з’явився збіг поки тренд не зміниться — нових алертів не буде 🔹 4. Оновлення стану if allLong prevALL := 1 else if allShort prevALL := -1 📌 Тобто: запам’ятовуємо, що вже був LONG або SHORT щоб не дублювати сигнал 🔔 5. Алерти alertcondition(allLongSignal, title="ALL TF LONG", message="4H + 1H + 5m ALL LONG") alertcondition(allShortSignal, title="ALL TF SHORT", message="4H + 1H + 5m ALL SHORT") Ти отримуєш: 🚀 ALL TF LONG 🔻 ALL TF SHORT ⚠️ ВАЖЛИВО (як це працює на практиці) Цей сигнал з’являється: 👉 НЕ на початку тренду, а коли: вже був пробій на 4H підтвердився на 1H і тільки тоді підтвердився на 5m 📌 Тобто: це підтвердження тренду, а не ранній вхід
Pine Script® indicator
by TradePro1000
Auto Swings + 4H / 1H / 5m Trend (FULL)1. Авто-фрактали (свінги) Індикатор автоматично підбирає “силу” фракталів: 4H / 1H → len = 2 (швидше реагує) 5m → len = 6 (фільтрує шум) 📌 Що це значить: Знаходяться локальні хай/лоу по тілу свічки, а не по фітилях Малюються трикутники: 🔴 зверху — локальний хай 🟢 знизу — локальний лоу 🔹 2. Лінії ліквідності (swing levels) Коли з’являється фрактал: проводиться горизонтальна лінія вона тягнеться вправо (як рівень ліквідності) 📌 Обмеження: максимум 5 ліній зверху і 5 знизу (можна змінити) 🔹 3. Логіка тренду (ключова частина) Функція f_trend(): Запам’ятовує: останній фрактал хай (lastTop) останній фрактал лоу (lastBot) І визначає тренд: 📈 LONG (1) → якщо ціна пробила останній хай 📉 SHORT (-1) → якщо ціна пробила останній лоу ⚪ 0 → якщо нічого не пробито 👉 Це по суті: простий Break of Structure (BoS) 🔹 4. Мультитаймфрейм (MTF) Індикатор одночасно рахує тренд на: 4H 1H 5m Через request.security() 📌 Важливо: 4H і 1H → швидша структура 5m → більш “очищена” (len=6) 🔹 5. Сигнали (без повторів) Сигнал дається тільки один раз, коли тренд змінюється: 4H LONG / SHORT 1H LONG / SHORT 5m LONG / SHORT 📌 Логіка: було не LONG → стало LONG → сигнал 👉 Немає спаму — це правильно зроблено 🔹 6. Алерти Можеш підключити в TradingView: 4H LONG 4H SHORT 1H LONG 1H SHORT 5m LONG 5m SHORT 🔹 7. Таблиця (внизу справа) Показує поточний стан: 4H LONG / SHORT / NO TREND 1H LONG / SHORT / NO TREND 5m LONG / SHORT / NO TREND Колір: 🟢 зелений — лонг 🔴 червоний — шорт ⚪ сірий — немає тренду
Pine Script® indicator
by TradePro1000
3-TP RSI-ATR Strategy [4h]A trend-following strategy for the 4H timeframe that combines RSI momentum, dual SMA trend filter, ATR-based stop loss, and a three-level take profit structure. HOW IT WORKS ? Entries combine three conditions — momentum, trend, and volatility context: - MOMENTUM (RSI 14) — enters long when RSI crosses above the overbought threshold (default 70), short when RSI drops below oversold (default 30). Contrary to classic mean-reversion, this script treats extreme RSI values as trend confirmation, not reversal signals. - TREND FILTER (SMA 100 and SMA 200) — longs only taken when SMA 100 is above SMA 200 (bullish regime). Shorts only when SMA 100 is below SMA 200 (bearish regime). This keeps the strategy aligned with higher-timeframe momentum and filters out most countertrend setups. - STOP LOSS (ATR 14 × 1.5) — volatility-adjusted stop placed below entry for longs (above for shorts). ATR scaling means wider stops in volatile markets and tighter stops in quiet ones, instead of a fixed percentage. THE 3-TP EXIT STRUCTURE Instead of closing the full position at one target, the strategy splits the exit across three levels: TP 1 — closes 25% of the position at +10% profit TP 2 — closes 50% of the position at +20% profit TP 3 — the remaining 25% runs until one of these triggers: Opposite RSI signal, ATR stop is hit This structure locks in gains early while leaving a runner open to capture extended trends. It is the main reason the strategy remains profitable even with imperfect entries — partial profits cushion drawdowns, and the trailing exit captures occasional outsized winners. DEFAULTS AND TUNING Defaults are tuned for INDEX:BTCUSD 4H: RSI Length: 14 Overbought / Oversold: 70 / 30 SMA Trend: 100 / 200 ATR Length: 14 ATR Multiplier: 1.5 TP 1 / TP 2: 10% / 20% Position sizing: 75% of equity Commission: 0.03% per side Slippage: 2 ticks For lower timeframes (1H, 30m), reduce SMA lengths and tighten TP levels. For higher timeframes (1D), widen the ATR multiplier to 2.0-2.5 since daily swings are larger. WHAT TO WATCH OUT FOR - This is a TREND-FOLLOWING script. It loses money in tight ranges where RSI whipsaws between 30 and 70 without directional follow-through. The SMA trend filter mitigates this but does not eliminate it. - Performance varies by asset. Works best on high-volatility crypto majors (BTC, ETH) and major forex pairs. On low-volume altcoins, ATR stops can be too wide and eat into the TP 1 profit. - Commission settings matter. Default 0.03% reflects Binance futures fee levels. Spot trading with 0.1% fees will reduce net performance — adjust and re-test. - No repaint. All signals and exits trigger on bar close. DISCLAIMER Past performance in backtests does not guarantee future results. This script is published for educational and research purposes. Always forward-test before risking real capital. Open source — read the code, fork it, improve it. Feedback welcome in the comments. Check my profile for other published scripts.
Pine Script® strategy
by wielkieef
Prop Bruh - Clock | Candle | Countdown | ATRProp Bruh - Clock | Candle | Countdown | ATR A compact all-in-one trading panel built for futures day traders who need critical information at a glance without cluttering the chart. Four essential tools stacked into a single, clean overlay. What it does... This panel combines a live New York clock, a bar close countdown, a current timeframe ATR, and a fixed 15-minute ATR into one customizable widget. Designed for traders who work across session boundaries (NY, London, Globex) and need to track volatility regimes in real time. Features... -Live NY Clock: 12-hour format with AM/PM, updates every second -Bar Close Countdown: Shows minutes and seconds until the current bar closes, with a traffic light warning cascade (gray → yellow under 20s → red under 10s → flashing white under 1s) so you never miss a close -Dual ATR Display: Current timeframe ATR on the left, fixed 15-minute ATR on the right, giving you both immediate volatility and broader regime context -Session-Aware Volatility Coloring: The ATR row background shifts through four tiers (slate gray, soft blue, green, bright green) based on the 15m ATR value, with separate thresholds for NY, London, and Globex sessions -Spike Marker: A 🔥 symbol appears in front of the current TF ATR value when it spikes above its own recent average by a customizable multiplier (default 1.25x), alerting you to volatility bursts as they happen -Fully Customizable: Pick from five spike marker symbols (🔥 ⚡ ⭐ 🚨 💥), adjust panel size (Small, Medium, Large), position the widget in any of nine screen locations, and customize every color How to use it... Place the panel wherever works best on your chart. Glance at the countdown as bars approach close. Watch the ATR row background to understand the current volatility regime relative to the active session. Pay attention when the spike marker appears, it means the current timeframe just produced a meaningful volatility burst relative to its recent norm. The design philosophy is disciplined, the panel stays grayscale during quiet conditions and only lights up when information demands attention. Your eye learns to filter it out until something actually matters. Best for... - Futures day traders (MES, ES, NQ, MNQ, GC, etc.) -Anyone trading session-based strategies where volatility context matters -Traders who want countdown awareness without giant timers eating chart real estate Default session thresholds (15m ATR)... -NY Session: Red below 35, Green above 55 -London Session: Red below 28, Green above 45 -Globex Session: Red below 22, Green above 35 All thresholds are fully adjustable to match your instrument and style. Built for discipline. Built for speed. Built for the Prop Bruh framework.
Pine Script® indicator
by delanerouse
Timeframe Heikin Ashi RSI OscillatorT-HARSI • Timeframe Heikin Ashi RSI Oscillator (HTF Edition) What it is An RSI-based oscillator that renders RSI values as Heikin Ashi candles instead of a line, with a full higher-timeframe (HTF) signal engine layered on top. The core idea — originally from JayRogers — is that translating RSI into HA-style OHLC preserves the oscillating nature of RSI while smoothing out noise and making trend/exhaustion visually obvious. The gggoaaat mods add a multi-condition overbought/oversold signal system that runs entirely on a user-selectable HTF. How it's built Everything is zero-median: RSI values have 50 subtracted so the oscillator swings around 0 instead of 50, with configurable OB/OS and "extreme" OB/OS bands above and below. Three core pieces generate the visuals: HARSI candles — RSI is computed separately on close, high, and low, then combined into synthetic OHLC using Heikin Ashi math. Open smoothing biases toward the prior open for cleaner trend reads. RSI overlay line + histogram — a second RSI (independent length) plotted on top, optionally smoothed using a recursive HA-style average of current vs prior RSI. Stochastic RSI ribbon — stoch computed from that RSI, with K/D smoothing and a vertical scaling knob so it doesn't distort the channel. The HTF signal engine All stateful logic lives inside f_signalLogic() and is pulled through a single request.security call, so every counter, ta.barssince , and crossover naturally operates on HTF bars. The engine produces two composite signals: bullishWays (overbought / fade-long / 🔥OB label) fires when RSI has been above the extreme upper band for N consecutive HTF bars and a confirming reversal condition hits within a hold window — either a crossover-based resistance touch or a reversal-candle pattern where the HARSI close flips bearish near the extreme. bearishWays (oversold / fade-short / 🥶OS label) is the symmetric opposite at the lower extreme. A barsBetweenCalls cooldown prevents back-to-back repeats, and an htfBarEdge gate ( ta.change(time(tf)) ) ensures plotshapes, circle-dot plots, and alerts fire exactly once per HTF bar transition rather than repeating across every chart bar that falls inside the same HTF window. What you see on the chart HARSI candles in the pane, OB/OS channel bands with tinted fills, optional RSI line and stoch ribbon, background shading when RSI is sustained beyond an extreme, warning triangles when the sustained-extreme threshold first trips, and 🔥OB / 🥶OS labels with orange/teal price dots on the main chart when a full composite signal fires. Alerts fire on confirmed HTF bar close for both directions. Intended use A mean-reversion / exhaustion tool — the signals flag spots where an HTF RSI has pushed to an extreme, held there, and then showed a reversal confirmation. Best paired with trend context on the main chart; the HARSI pane tells you when the stretch is exhausted, not which direction the trend actually is .
Pine Script® indicator
by gggoaaat
BT Vela RXEl indicador sirve para marcar e identificar la anatomía de la vela, es decir: Podemos observar su formación de la vela anterior, también podemos observar la impresión de velas de otras temporalidades desde el gráfico que estoy observando. En otras palabras, puede ver la formación actual de una vela de mayor temporalidad para así detectar, posibles manipulaciones o rupturas en tiempo real. El indicador cuenta adicionalmente con un contador de velas para poder enumerar el estado de su formación.
Pine Script® indicator
by BillionsTrade
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