Empiece

Support-and-resistance

AG Pro Daily Open Acceptance Map [AGPro Series]AG PRO DAILY OPEN ACCEPTANCE MAP OVERVIEW AG Pro Daily Open Acceptance Map is an intraday overlay built to track how price behaves around the current daily open and to present that behavior in a clean, rules-based structure. Instead of treating the daily open as a passive reference line, this script evaluates whether price is being accepted above it, accepted below it, or repeatedly failing around it. The core design goal is clarity. Many traders use the daily open as a contextual anchor, but in practice it is often shown as only a simple line with no structured interpretation. This script is designed to go one step further by turning that level into a mapped decision framework. The result is a chart that helps users read whether the market is holding one side of the daily open with acceptance, drifting into indecision, or failing to maintain directional control. This tool is intentionally narrow in scope. It is not built as a full market structure engine, a session model, a prior high/low dashboard, a VWAP tool, or a moving average framework. Its role is much more specific: to organize the behavior of price around the daily open and to express that behavior through a compact state model, visual reference lines, and confirmed state transitions. Because the daily open resets every trading day, the script also produces a recurring intraday reference that can be reused across many symbols and market conditions. This makes it useful for users who prefer repeatable visual anchors instead of highly discretionary chart interpretation. WHAT IT DOES This script identifies the current daily open and treats it as the primary intraday reference level. From there, it evaluates whether price is holding above the level, holding below the level, or still testing the area without confirmation. It also tracks the first reclaim event when enabled, allowing users to see whether the market has recovered one side of the level after losing it earlier in the day. The overlay is structured so the current daily open remains the main visual anchor, while the previous daily open can be shown as a lighter secondary context level. Acceptance areas and state mapping are kept as supporting elements rather than replacing the open itself. This keeps the chart readable while still preserving a visual record of how the market behaved around the level throughout the session. In practical terms, the script helps answer a simple but important question: is price truly holding one side of the daily open, or is it only rotating around it without meaningful acceptance? HOW THIS DIFFERS FROM OTHER AG PRO TOOLS This script is intentionally separated from the logic families used in other AG Pro tools. It does not rely on VWAP behavior. It does not build decisions from EMA or moving average relationships. It does not classify price by prior day or prior week high/low structures. It does not depend on sweep, stop hunt, liquidity trap, or session-kill-zone logic. It does not function as a structure label, breakout, or order-flow style engine. The purpose here is much more focused. AG Pro Daily Open Acceptance Map is a daily-open behavior tool. Its main question is not whether a breakout happened, whether liquidity was taken, or whether a trend indicator flipped. Its main question is whether the market is accepting or rejecting one side of the current daily open. That narrow positioning is deliberate. It helps keep the chart logic cleaner, the visual language simpler, and the use case easier to understand. UNIQUE EDGE The unique edge of this script is not the presence of a daily open line by itself. Many tools can plot a daily open. The distinctive part of this indicator is the state framework built around that line. Instead of only drawing the level, the script evaluates market behavior around it and converts that into a practical overlay language. The chart can therefore communicate whether the market is in bullish acceptance, bearish acceptance, or unresolved testing, rather than forcing the user to interpret every interaction manually. The script also separates the current daily open from the previous daily open in a clear visual hierarchy. The current open is treated as the primary live anchor, while the previous open is optional secondary context. This helps users compare the active intraday reference against the prior session without turning the chart into a multi-level dashboard. Another advantage is that the visual model remains compact. The script is designed to offer information density without becoming visually noisy, which is especially important on publish screenshots and on charts where traders prefer a clean price-first layout. METHODOLOGY The script starts by identifying the current daily open and, when enabled, the previous daily open. The current daily open becomes the main reference for all live state calculations. From there, the script measures whether price is sustaining closes above the level, sustaining closes below the level, or remaining in a testing state around the level. The filter mode can be adjusted to make the interpretation more responsive or more selective. In more permissive settings, state shifts can appear earlier. In stricter settings, price generally needs cleaner confirmation before a state is recognized. When reclaim logic is enabled, the script also monitors whether one side of the daily open is recovered after being lost earlier in the day. This is not treated as a separate prediction model. It is simply an additional contextual event that can help users understand whether the market is recovering control around the open after temporary failure. The acceptance area, open zone, and state ribbon are visual support layers. They are not intended to replace price or overwhelm the chart. Their purpose is to make the interpretation easier to read while keeping the current daily open as the main anchor. SIGNALS AND ALERTS The script supports confirmed-bar style logic so that state changes can be tracked in a more stable way. Depending on the enabled settings, users can monitor: Bullish acceptance conditions Bearish acceptance conditions Testing or unresolved behavior around the daily open First reclaim context when enabled General state transitions when the market changes side or loses control These alerts and visual states are intended for chart organization and condition awareness. They should not be interpreted as guaranteed trade outcomes, guaranteed continuation signals, or automated execution instructions. KEY INPUTS FILTER MODE Users can switch between stricter and more responsive behavior depending on how selective they want the state model to be. HOLD / CONFIRMATION SETTINGS These controls affect how much sustained price behavior is required before the script recognizes an accepted state. TOLERANCE AND OPEN ZONE SETTINGS These help define how tightly or loosely the script interprets price behavior around the daily open area. FIRST RECLAIM SETTINGS These controls determine whether reclaim events are tracked as part of the daily open behavior model. DISPLAY SETTINGS Users can control whether the current daily open, previous daily open, acceptance area, ribbon, labels, and panel elements are shown. VISUAL SIZE SETTINGS Panel and label sizing can be adjusted depending on symbol volatility, screen resolution, and chart density preferences. LIMITATIONS AND TRANSPARENCY This script is not a forecasting engine. It does not predict where price must go next. It evaluates how price is behaving relative to the current daily open and displays that information in a structured way. It is also not a substitute for complete market analysis. It does not include broader trend context, liquidity analysis, volume profile logic, macro structure interpretation, news impact, or instrument-specific catalysts unless the user applies those separately. Different symbols and timeframes can also produce different daily open behavior. In some instruments the daily open may act as a very strong intraday reference, while in others price may rotate around it more loosely. Because of that, the script should be interpreted as a contextual decision aid rather than a universal standalone solution. The previous daily open is included only as optional secondary context. It does not drive the main state model. The main live logic is built around the current daily open. RISK DISCLOSURE This script is provided for market analysis, chart organization, and educational use. It does not provide financial advice, investment advice, or guaranteed trade signals. No indicator can remove market risk, and no visual state model can ensure a profitable result. Traders should use their own judgment, position sizing rules, and risk management process before making any decision. This tool can help structure chart interpretation, but execution responsibility always remains with the user.
Indicador Pine Script®
por AGProLabs
2
EAB: Multi-Timeframe Moving AveragesEAB: Multi-Timeframe Moving Averages is a clean and customizable indicator designed to display key moving averages across multiple timeframes in a single chart. It allows traders to visualize short, medium, and long-term trends using a consistent and structured framework, aligned with a professional trading workflow. Features Multi-timeframe support: Intraday, Daily, Weekly and Monthly Fully customizable moving averages (type, length, source, color and visibility) Label system displayed directly on the chart (e.g., EMA 10, MA 50) Optional moving average cloud between key averages Weekly moving average overlay on the daily chart for higher timeframe context How to use Enable or disable moving averages from each timeframe section. Configure type (EMA, SMA, etc.) and length according to your strategy. Use EMA 10 and EMA 20 for short-term trend direction. Use MA 50 and MA 200 for structure and key support/resistance levels. Combine multiple timeframes to confirm trend alignment. Notes Labels are displayed only on the last visible bar to keep the chart clean. Each timeframe can be configured independently. Moving average clouds can be enabled or disabled for better visual clarity.
Indicador Pine Script®
por EwaldoAB
AG Pro Equal High / Equal Low Sweep Engine [AGPro Series]AG Pro Equal High / Equal Low Sweep Engine Overview / What it does AG Pro Equal High / Equal Low Sweep Engine is a price-action overlay designed to detect equal highs (EQH) and equal lows (EQL), track the liquidity pools that form around those levels, and highlight sweep events when price briefly trades through them and then closes back with confirmation. The script focuses on one specific market behavior: clustered highs and lows that tend to attract liquidity, followed by rejection-style sweeps that can mark failed continuation attempts, trap conditions, or local reaction points. Instead of treating every wick through a prior level as equally important, the script separates untouched pools from already swept pools, applies a configurable tolerance model for defining EQH/EQL structures, and adds close-based confirmation logic so users can filter out weaker events. Short liquidity lines, band-style zones, trap labels, and a compact summary panel are used to keep the information visible without turning the chart into a large box-based map. This tool is built for traders who want a structured view of repeated highs/lows and the liquidity behavior around them. It is not intended to label every possible swing event on the chart. Its purpose is narrower and more deliberate: identify equal-high / equal-low liquidity pools, monitor whether they remain intact or get swept, and display the sweep in a visually organized way. Unique Edge The main distinction of this script is that it does not attempt to map all forms of stop runs or all types of liquidity events. It concentrates specifically on EQH/EQL liquidity pools and the sweep lifecycle around those pools. That narrower scope allows the chart objects to remain more readable while still showing useful structure. The script also distinguishes between untouched and swept states. This matters because a fresh liquidity pool and a previously swept pool do not represent the same chart condition. Untouched pools can still act as active draw-on-liquidity zones, while swept pools become part of recent context and may be interpreted differently depending on the user's framework. A second differentiator is the combination of equal-pool detection, close confirmation, and optional quality scoring. Equal highs and equal lows are first identified using pivot logic and a user-defined tolerance percentage. Then, when price trades through the pool, the script can require either any wick, a reclaim close, or a stronger rejection close before confirming the sweep. An optional quality bonus can further weight events when relative volume and rejection characteristics are more supportive. The visual model is also intentionally selective. Instead of using large generalized rectangles across the whole chart, the script uses shorter liquidity lines and band zones tied directly to the detected pool. This keeps the visuals anchored to the detected structure rather than creating broad areas that may overstate precision. Methodology 1) Equal High / Equal Low Detection The script uses pivot highs and pivot lows to build candidate swing points. When two highs or two lows form within the user-defined tolerance threshold and within the required bar spacing, they are treated as an equal-high or equal-low liquidity pool. Multiple nearby pools can optionally be merged into a cleaner combined structure. 2) Liquidity Pool Lifecycle Once a pool is created, it is tracked as active until one of two things happens: it is swept by price, or it expires after its configured lifetime. The script maintains state so pools can be shown as untouched, swept, or removed when they are no longer relevant. 3) Sweep Confirmation A sweep is not limited to price piercing the level. The script can require: - Any Wick: any trade-through qualifies. - Reclaim Close: price must close back through the level after the sweep. - Strong Rejection: a stricter close-position filter is applied. This helps users decide how sensitive or selective they want the engine to be. 4) Quality Logic When enabled, the script calculates a quality score using rejection characteristics, close position, relative volume behavior, pool freshness, and pivot clustering. This is not a predictive score or a probability model. It is a contextual ranking layer intended to help compare sweeps on the same chart. 5) Visual Presentation The script can draw: - short horizontal liquidity lines - band-style EQH/EQL zones - optional reaction boxes after selected sweeps - trap labels on confirmed events - a summary panel showing current pool and sweep status Signals & Alerts The script includes alert conditions for: - new EQH pool detected - new EQL pool detected - EQH sweep confirmed - EQL sweep confirmed - any sweep confirmed These alerts are event-based and depend on the current settings used for confirmation and filtering. If stricter filters are selected, the number of confirmed events will naturally decrease. Key Inputs Pivot Strength Controls how swing highs and lows are confirmed. Higher values usually produce fewer, more structurally significant pools. EQH / EQL Tolerance % Defines how close two highs or lows must be to qualify as equal. Lower values make the script stricter. Higher values allow broader matching. Min / Max Bars Between Pivots Controls the acceptable spacing between the two pivots that define a pool. Sweep Close Filter Lets the user choose between wick-only behavior and more selective reclaim/rejection confirmation. Quality Bonus Adds an optional scoring bonus when the sweep also shows stronger contextual characteristics. Liquidity Line / Zone Length Controls how far the liquidity structures extend on the chart. Panel and Visual Settings Allow the user to tune panel position, label size, color theme, and display density for different chart styles and timeframes. Limitations & Transparency This script identifies equal highs and equal lows using pivot-based rules and a configurable tolerance model. Because of that, results depend on the chosen settings, the symbol, the timeframe, and the chart's volatility profile. A confirmed sweep should not be interpreted as a guaranteed reversal or a complete trade setup by itself. In some market conditions, price can sweep a pool and continue in the same direction. In other conditions, a sweep may mark only a short-lived reaction. The script highlights structural events; it does not forecast outcome. The quality score is a contextual ranking aid, not a performance promise, win-rate estimate, or statistical edge claim. Different users may prefer different thresholds depending on market regime and execution model. Band zones and reaction areas are visual approximations derived from the detected pool and post-sweep behavior. They are designed to improve chart readability, not to define exact institutional order blocks or guaranteed execution zones. Risk Disclosure This script is an analytical charting tool for studying equal-high / equal-low liquidity behavior and sweep confirmation. It does not provide financial advice, investment advice, or trade recommendations. All trading decisions remain the user's responsibility. Like any technical tool, it should be used with broader market context, risk management, and independent judgment. No indicator can eliminate uncertainty, and past chart behavior does not guarantee future results.
Indicador Pine Script®
por AGProLabs
2
Live Consolidation Boxes by RickLive Consolidation Boxes by Rick A multi-timeframe consolidation box indicator built to help traders identify live range structures, breakout levels, and historical zones that may later act as support or resistance. This script is especially useful when price is not trending cleanly and you want a clearer read on whether the market is still consolidating, preparing for a breakout, or already breaking away from a range. What This Indicator Does Detects live consolidation boxes directly from price structure Finds repeated high and low level tests inside a range Displays the active box on the current timeframe Displays up to 5 configurable timeframes in overlay Shows a multi-timeframe dashboard with state, high, and low levels Keeps selected historical consolidation zones on chart after qualified breakouts Marks zones with clear talking labels for faster chart reading How It Works Instead of relying on moving averages or momentum filters, this script focuses on price levels . It scans price action to detect areas where: highs are repeatedly tested near the same upper level lows are repeatedly tested near the same lower level enough candles remain inside the zone the total height of the zone stays reasonable relative to price The script then classifies the structure into live states such as: Building Range Active Consolidation Watch Break High Watch Break Low Broken Up Broken Down Dynamic Live Detection The indicator does not require a fixed range lookback to define where a box begins . Instead, it dynamically scans the chart and selects the most relevant live consolidation structure inside its scan window. This makes it more adaptive than a simple fixed-box approach. Historical Zones Historical zones are not stored on the first breakout by default. A zone is only promoted to history when the breakout is qualified , depending on your chosen archive mode: Retest or Strong Breakout Retest Only Strong Breakout Only Any Breakout This helps preserve only the consolidation zones that are more meaningful as future support or resistance. Dashboard The overlay table shows 5 configurable timeframes and reports: State Range High Range Low Default timeframes: 5m 15m 1H 4H 1D Main Inputs Minimum Zone Bars : minimum maturity required before a range can qualify Max Scan Bars : scan depth used by the adaptive engine Min Bars Between Touches : prevents clustered candles from counting as multiple tests Level Tolerance : defines how close highs/lows must be to count as repeated tests Min Top / Bottom Touches : minimum level interactions required Min Inside Ratio : how much of price must remain inside the zone Breakout Buffer : required distance beyond the box for breakout detection Historical Zone Settings : controls how and when past zones are archived Best Use Case This tool is designed for traders who want to: avoid entering blindly during compression track breakout levels more clearly see whether consolidation exists across multiple timeframes keep important broken ranges on chart as future reaction zones Notes This is a structure-based tool, not a full trade system Best used together with your own price action, liquidity, or market context analysis Works especially well on crypto, where repeated range behavior often defines key breakout and retest zones Not financial advice.
Indicador Pine Script®
por rickugo
1
AG Pro Liquidity Heatmap [AGPro Series]AG Pro Liquidity Heatmap Overview / What it does AG Pro Liquidity Heatmap is a visual liquidity-mapping tool designed to project areas where resting stop interest is more likely to be concentrated. Instead of focusing on a single pattern or a one-bar signal, this script builds a forward-looking heatmap from clustered pivot behavior and displays that information as persistent horizontal liquidity bands on the chart. The core idea is simple: repeated reactions around similar price levels often create zones where traders place stops, breakout orders, or defensive exits. When those levels begin to cluster, they can become structurally important. This script converts that clustering behavior into a heat score and renders it as layered Fire / Ice bands so traders can quickly identify where liquidity concentration may be building above or below current price. The script is not built as a prediction engine, and it does not attempt to claim where price must go next. Its purpose is to help traders organize the chart, monitor the nearest active liquidity bands, and understand which nearby levels appear more saturated, more persistent, or already mitigated. In that sense, it is best used as a market-structure context tool rather than as a standalone entry model. This script is also intentionally different from traditional support/resistance overlays, breakout detectors, and liquidity sweep labels. It does not merely mark recent highs and lows. It clusters pivot-derived levels, weights them into a dynamic heat score, extends them cleanly to the right side of the chart, and then updates or extinguishes them as price interacts with those zones. Unique Edge The unique edge of this script is that it treats liquidity as a developing field rather than a static line. A normal horizontal level script may show one prior high or one prior low. AG Pro Liquidity Heatmap instead tracks repeated pivot concentration, merges nearby levels into composite zones, scores those zones, and then visualizes the result as a layered heat structure. A second differentiator is the lifecycle logic. Once a band has been interacted with, the script does not leave every level unchanged forever. Depending on the selected behavior, a zone can fade or be removed after liquidity is taken. This helps reduce visual clutter and keeps the chart focused on currently relevant liquidity structures rather than a permanently accumulating archive of old levels. A third differentiator is presentation. The script is designed to produce a clean forward projection area with right-extending heat bands, readable labels, Fire / Ice theme control, a functional heatmap panel, and an optional EQ Magnet line that tracks the balance area between the nearest active upper and lower liquidity bands. The goal is not only analytical clarity, but also a chart layout that remains readable during live use. Methodology 1) Pivot detection The script first identifies pivot highs and pivot lows using user-defined left and right pivot lengths. These pivots are treated as candidate liquidity reference points. 2) Cluster merging If a new pivot forms close enough to an existing level, based on an ATR-driven merge distance, the script merges that information into the existing zone rather than creating unnecessary duplication. This allows nearby pivots to accumulate into a stronger composite band. 3) Heat scoring Each zone receives a heat score. Repeated clustering increases that score. When volume weighting is enabled, pivots formed with relatively stronger volume can contribute more heavily to the final score. This does not reveal actual order book liquidity, but it can provide a useful proxy for where market attention and stop concentration may be stronger. 4) Layered rendering Each active zone is rendered as a multi-layer horizontal band. The band thickness and saturation scale with heat score, which makes stronger zones visually heavier than weaker ones. This helps the chart communicate intensity without requiring the user to read every value manually. 5) Liquidity lifecycle When price reaches a zone, the script can either fade it or remove it depending on the selected extinguish mode. Optional mitigation tracking can leave a visual reminder of where liquidity was taken. This behavior is important because it keeps the heatmap adaptive rather than static. 6) Balance tracking When both upper and lower active liquidity bands are available, the script can display an EQ Magnet line between the nearest bands. This is not a target call. It is a contextual balance reference that can help visualize the midpoint of the currently nearest active liquidity field. States & Visual Elements - Fire bands represent upper liquidity concentration derived from pivot highs. - Ice bands represent lower liquidity concentration derived from pivot lows. - Stronger zones become visually denser and more prominent as heat score rises. - Zone labels display side, heat score, and price information in either compact or detailed mode. - The Heatmap Panel summarizes active band count, nearest zones, strongest zones, heat balance, last sweep information, and the current extinguish behavior. - The EQ Magnet line highlights the midpoint between the nearest active upper and lower bands when enabled. - Optional mitigation tracks can remain on the chart after liquidity is taken. How to use it This script is generally most useful as a context layer. Many traders may choose to use it in one of three ways: - to map where price may interact with nearby liquidity concentration, - to judge whether the closest active field is above or below current price, - to avoid taking impulsive decisions directly into dense opposing liquidity. The script can also be useful for chart organization. Traders who already use trend tools, structure tools, or trigger models may use the heatmap as a location filter. For example, a setup forming directly into a strong opposing liquidity band may deserve more caution than a setup developing in cleaner space. Key Inputs Pivot Left / Right Bars Controls how pivots are detected. Smaller values can produce more frequent zones; larger values can make the structure more selective. Cluster Merge Distance (ATR) Defines how close pivots must be to merge into the same liquidity band. Lower values keep zones more separated; higher values create broader clustering. Volume-Weighted Mode Allows higher-volume pivots to contribute more strongly to heat score. This is a proxy weighting mechanism, not direct order-flow confirmation. Minimum Heat Score To Show Filters out weaker zones from the visual display. Visual Saturation Score Controls how quickly the visual intensity reaches its maximum appearance. Base Band Height and Horizontal Band Density Shape the visual footprint of each zone and determine how rich or minimal the rendered band structure appears. Label controls Allow the user to choose label mode, font size, theme, label offsets, and label density. Panel controls Allow the user to change panel visibility, location, theme, and font size. Liquidity Taken Behavior Determines whether mitigated zones fade or are removed. Limitations & Transparency This script does not access order book data, exchange liquidation feeds, or hidden liquidity information. The displayed heatmap is derived from chart-based pivot clustering and optional volume weighting. For that reason, the bands should be understood as technical liquidity proxies rather than direct measurements of real resting orders. The heat score is also relative to the script's own internal logic. It is a ranking mechanism inside this model, not an absolute market-wide score. A higher score means a zone has accumulated more structural weight within the selected settings; it does not guarantee a reaction. Like any chart tool based on pivots, the behavior of the script depends on the chosen timeframe, the selected sensitivity inputs, and the structure of the instrument being analyzed. Lower timeframes can create more noise, while higher timeframes can produce fewer but broader zones. The EQ Magnet line is a contextual midpoint reference only. It should not be interpreted as a fixed target, a required destination, or a directional forecast. Risk Disclosure This script is a visual analysis tool for chart study and trade planning. It is not financial advice, not an execution system, and not a promise of future price behavior. Liquidity zones can fail, be overrun, or be ignored by price entirely. No indicator should be used in isolation. Traders should consider market structure, volatility, risk management, execution quality, and their own process before making trading decisions. Always test settings carefully and use position sizing appropriate to your own risk tolerance.
Indicador Pine Script®
por AGProLabs
3
AG Pro Auto Supply & Demand Zones [AGPro Series]AG Pro Auto Supply & Demand Zones Overview / What it does AG Pro Auto Supply & Demand Zones is an overlay that automatically detects supply and demand areas by combining compact base structures with directional displacement. The script is designed to help traders track where price left an area with enough urgency to justify keeping that zone on the chart for future reference, while also showing how that zone evolves over time. Instead of plotting every possible reaction area, the script applies a structured lifecycle model. A newly created zone begins as Fresh, can transition to Tested after a qualifying retest, and can later become Expired when it no longer meets the active criteria selected by the user. This state-based approach makes the chart easier to interpret because zones are not treated as static drawings. They are continuously re-evaluated as price interacts with them. The script also distinguishes between proximal and distal boundaries so users can see both the near edge and the full depth of each zone. A built-in active-zone limit helps keep the chart under control, and older zones gradually fade through time-based opacity reduction. This allows recent and decision-relevant areas to remain visually stronger while historical context becomes lighter. A light higher-timeframe overlay is included for users who want broader context without turning the chart into a dense multi-timeframe map. The goal is not to overwhelm the screen with background structure, but to add a subtle layer of alignment when higher-timeframe supply or demand remains relevant to the current price area. Unique Edge The distinctive feature of this script is that it does not stop at zone creation. It manages the full visual and logical lifecycle of a zone. Fresh, Tested, and Expired states are tracked in an explicit way, which makes the output more practical than a simple box-drawing tool. A second differentiator is the same-side merge logic. When a newly detected zone forms too close to an existing zone on the same side, the script can refresh or merge that area instead of stacking nearly identical layers on top of one another. This helps reduce redundancy and produces a cleaner, more readable structure map. Another important edge is the visibility architecture. Users can choose between All, Balanced Focus, and Smart Focus modes. This allows the chart to stay informative without becoming overloaded. Nearest active zones can be emphasized, distant context can be softened, and labels can be kept minimal, balanced, or fully expanded depending on the preferred workflow. Methodology The script uses a base-plus-displacement framework. 1. Base detection A candidate zone begins with a compact base cluster. The script evaluates the total base range relative to ATR and can also apply a clean-wick filter so that noisy or overly volatile bases are filtered out. 2. Displacement confirmation After the base, the script looks for directional expansion. The displacement candle must satisfy body-size conditions relative to ATR and must close with sufficient directional conviction. This is intended to avoid weak breaks that do not clearly separate from the base. 3. Zone construction For demand zones, the script builds the area using the base body high as the proximal reference and the base low as the distal boundary. For supply zones, it uses the base body low as the proximal reference and the base high as the distal boundary. This gives the user both the near decision line and the full zone range. 4. Lifecycle tracking A zone is initially Fresh. Once price revisits it under the selected confirmation mode, it can become Tested. If retests exceed the permitted limit, or if the user enables distal close-break invalidation, the zone can transition to Expired. 5. Zone maintenance The script can merge overlapping same-side zones, cap the total number of active zones, reduce opacity as zones age, and selectively hide distant context based on the selected visibility profile. 6. Light higher-timeframe context When enabled, the script projects a restrained higher-timeframe supply and demand layer onto the current chart. This is intended as context, not as a replacement for the active zones detected on the chart timeframe. Signals & Alerts This script includes alert support for key state events: - New Demand Zone - New Supply Zone - Fresh Demand Touched - Fresh Supply Touched - Demand Zone Expired - Supply Zone Expired These alerts are designed to follow the script's zone-state logic rather than subjective interpretation. Users can enable or disable zone-creation alerts, fresh-touch alerts, and expiration alerts independently. Key Inputs Detection Base Bars controls how many candles are used to form the base. Base Range ATR Factor defines how compact the base must remain relative to ATR. Max Single Base Candle ATR Factor limits oversized candles inside the base. Displacement Body ATR Factor controls the minimum strength required for displacement. Displacement Close Location checks whether the displacement candle closes with directional commitment. Use Clean Base Wick Filter helps reduce noisy base formations. Zone Management Merge Nearby Same-Side Zones helps avoid repeated stacking of almost identical zones. Minimum Same-Side Separation ATR defines how close a new zone can be to an existing same-side zone before merge logic becomes relevant. Minimum Zone Overlap Ratio requires stronger overlap before two nearby zones are treated as one structure. Lifecycle Max Active Zones limits how many active zones remain on the chart. Max Tests Before Expire controls how many qualified retests a zone can absorb before it expires. Test Confirmation offers Touch, Penetration, and Close Inside modes. Min Test Penetration Ratio refines how deep price must move into a zone when Penetration mode is selected. Expire On Distal Close Break can invalidate a zone when price closes beyond the distal boundary. Visuals Show Proximal Line and Show Distal Line let users control boundary visibility. Zone Visibility allows All, Balanced Focus, or Smart Focus workflows. Keep Nearest Active Zones Per Side helps preserve immediate context. Highlight Nearest Zones strengthens the most decision-relevant zones. Label Mode, Label Size, Label Right Offset Bars, and Label Spacing ATR control how zone labels are displayed. Light MTF View Enable Light MTF View activates higher-timeframe context. MTF Timeframe selects the higher timeframe. MTF Fill Transparency and MTF Context Bars help keep the overlay subtle. Panel The summary panel can be shown or hidden. Panel Theme, Panel Location, and Panel Font Size allow adaptation to different chart layouts and visual preferences. How to use it Many users will treat this script as a context and reaction map rather than as a standalone entry model. A common workflow is: - identify the nearest active demand and supply zones, - check whether the zone is Fresh or already Tested, - observe whether current price is approaching the proximal boundary or already trading deeper inside the zone, - use the light higher-timeframe layer for context, - then combine the zone information with personal confirmation tools such as structure, momentum, candle behavior, or risk rules. Fresh zones may be more interesting when they align with trend context or with a relevant higher-timeframe area. Tested zones can still matter, but their interpretation should usually be more selective because the zone has already been revisited. Limitations & Transparency This script detects supply and demand zones through a rules-based base and displacement model. It does not claim to identify every meaningful reaction area on a chart, and it does not attempt to label institutional intent, order flow, or smart-money behavior as a certainty. The quality of a zone depends on the selected settings, the volatility profile of the market, and the timeframe being analyzed. A more permissive configuration will naturally surface more zones, while a stricter configuration will produce a cleaner but narrower map. No single setting profile is optimal for every instrument. The higher-timeframe overlay is intentionally lightweight. It is designed to provide context, not to replace full top-down analysis. Likewise, a Fresh or Tested label should not be treated as a guarantee of reaction. It is simply the script's state classification based on the selected confirmation logic. This tool is best understood as a structured charting aid. It helps organize zone detection, lifecycle tracking, and visual prioritization. It does not remove the need for trade selection, confirmation, execution discipline, or risk management. Risk Disclosure This indicator is for chart analysis and educational use only. It does not provide financial advice, investment recommendations, or guaranteed outcomes. Markets can move through supply and demand zones without reacting, can partially react and fail, or can produce false confirmations. Always test settings carefully, evaluate the script in the context of your own process, and use proper risk management before making trading decisions.
Indicador Pine Script®
por AGProLabs
24
AG Pro Pin Bar Quality Filter [AGPro Series]AG Pro Pin Bar Quality Filter Overview / What it does AG Pro Pin Bar Quality Filter is a price-action overlay built to detect pin bar candles and then separate higher-quality rejection candles from weaker or noisier ones. The script does not treat every long-wick candle as equally meaningful. Instead, it evaluates the internal candle structure first, then applies a compact quality framework around volume, recent momentum, and local support/resistance context. The result is a filtered pin bar workflow designed for traders who want cleaner chart annotation rather than a raw pattern dump. This tool focuses on one specific job: identifying rejection candles with a measurable structure and presenting them with a readable quality label directly on the chart. It is intended to help users inspect potential reaction points, not to replace broader market context or execution rules. The visual design is intentionally simple at the core: pin bar body highlighting, wick emphasis, directional markers, and compact quality labels. This makes the script suitable for traders who want candle-based context without converting the chart into a full market-structure dashboard. Unique Edge The distinctive feature of this script is that it does not stop at pattern detection. A standard pin bar script often marks candles only because they have a long wick. This script goes further by checking whether the wick is large enough relative to the body, whether the body itself is small enough relative to the full candle range, and whether one wick clearly dominates the other. That combination helps reduce ambiguous candles that visually resemble pin bars but do not express clean rejection. After the structural test, the script applies a three-part quality model: - volume confirmation - momentum context - support/resistance proximity This creates a practical quality hierarchy rather than a binary pattern label. In other words, the script is not only asking “Is this a pin bar?” but also “How much contextual support does this pin bar have?” An optional piercing check is also available for users who want stricter validation. This adds another layer of selectivity by requiring the candle body to show stronger positional behavior relative to the prior bar. Methodology The script starts by measuring the current candle: - candle body size - full candle range - upper wick length - lower wick length - dominant wick versus body ratio A raw pin bar candidate requires: - a minimum wick/body ratio - a maximum body percentage of full range - directional wick dominance This helps define whether the candle is a legitimate bullish or bearish rejection structure. Bullish pin logic is based on lower-wick dominance. Bearish pin logic is based on upper-wick dominance. Once a raw pin bar is detected, the script evaluates three contextual filters. 1) Volume filter The current volume can be compared against a moving average of volume. This helps identify candles that form with relatively stronger participation. 2) Momentum confirmation The script can check whether recent candles were moving in the opposite direction of the current pin bar. For example, a bullish pin bar becomes more meaningful when it forms after short-term downward pressure, while a bearish pin bar becomes more meaningful after short-term upward pressure. 3) Support / resistance proximity The script tracks pivot-based reference levels and checks whether the pin bar forms close to a recent local support or resistance area, using an ATR-based distance threshold. Each passed filter contributes to the final quality score. This produces a compact tiered output instead of a single undifferentiated signal stream. Signals & Alerts The script can identify: - bullish pin bars - bearish pin bars - higher-quality pin bars based on the selected minimum score Visual elements may include: - body highlighting on detected pin bars - wick emphasis - directional arrow markers - quality labels with contextual details - an information panel summarizing the active state The quality label can display the signal tier and relevant confirmations such as: - wick/body ratio - volume confirmation - momentum confirmation - support/resistance proximity Alert conditions are available for: - bullish pin bars - bearish pin bars - prime-quality pin bars - any valid pin bar that meets the selected score threshold This allows users to align alerts with their own strictness settings rather than monitoring every possible candle manually. Key Inputs Important user controls include: - minimum wick/body ratio - maximum body percentage of full range - wick dominance threshold - optional piercing requirement - volume filter enable/disable - momentum filter enable/disable - support/resistance filter enable/disable - minimum quality score - label size - panel display - maximum number of displayed signals These settings make the script adaptable across different instruments and chart styles. Users who prefer a broader scan can lower the strictness, while users who want fewer but cleaner signals can raise the thresholds. Limitations & Transparency This script is a rule-based candle-quality filter. It is not a market prediction engine, and it does not attempt to classify broader trend structure, liquidity behavior, or macro regime by itself. A pin bar can still fail even when all filters pass. A visually strong rejection candle is not automatically a durable reversal. Context such as higher-timeframe structure, trend state, volatility regime, session behavior, and instrument-specific character still matters. Support and resistance detection in this script is pivot-based and proximity-based. It is designed as a practical contextual filter, not as a complete structural mapping model. Volume behavior also varies by asset and market type. On some instruments, especially where centralized volume data is limited or interpreted differently, the volume filter should be treated as a supplementary input rather than a universal truth test. The momentum check is intentionally compact and local. It is meant to improve candle context, not to replace broader directional analysis. For these reasons, the script is best used as a chart-reading assistant within a larger process, not as a standalone decision framework. Risk Disclosure This script is provided for technical analysis and chart annotation purposes only. It highlights selected pin bar conditions based on user-defined structural and contextual rules. It does not provide financial advice, investment advice, or guaranteed trade outcomes. Markets can remain irrational, trend continuation can invalidate rejection candles, and false positives can occur in all timeframes and asset classes. Users should validate the script on their own instruments, timeframes, and risk models before relying on it in live conditions. Position sizing, stop placement, execution discipline, and overall trade management remain the responsibility of the user. In summary, AG Pro Pin Bar Quality Filter is designed to help traders study rejection candles with more structure, more selectivity, and cleaner on-chart presentation than a basic pin bar marker, while remaining transparent about what the script does and does not do.
Indicador Pine Script®
por AGProLabs
2
AG Pro ORB Quality [AGPro Series]AG Pro Opening Range Breakout Quality OVERVIEW / WHAT IT DOES AG Pro Opening Range Breakout Quality is a session-structure indicator built to evaluate how price behaves around the Opening Range rather than treating every early breakout as equally meaningful. The script defines an Opening Range from a user-selected session window, locks that range when the session window ends, and then tracks whether price breaks above or below that range with constructive follow-through, delayed expansion, weak continuation, retest acceptance, or failure back into the range. Instead of acting like a simple breakout marker, this tool is designed to help organize the sequence that often matters most after the range is formed: range construction, first directional break, follow-through quality, retest behavior, acceptance, and failed continuation. This makes it more useful for traders who want a structured way to study whether the market is truly accepting price outside the Opening Range, or only probing beyond it temporarily. UNIQUE EDGE Most Opening Range tools focus mainly on drawing the range and marking the first break. This script is designed to go one step further by grading the quality of that break and the quality of post-break behavior. Its main edge is not the box itself. Its edge is the attempt to classify whether the move is: clean, good but delayed, weak, accepted after retest, or rejected back into the range. That makes the script conceptually different from a generic breakout overlay and also different from a broad market-structure or break-retest map. This indicator is specifically anchored to the Opening Range and to the behavior that follows that range. METHODOLOGY 1) Opening Range Construction The script builds an Opening Range from the chosen session window and stores: - range high - range low - optional midpoint 2) Break Detection After the range is locked, the script scans for the first qualified directional break within a defined search window. 3) Quality Engine Once a break appears, the script evaluates it using a rules-based scoring framework. The score can incorporate factors such as: - displacement beyond the range - body efficiency versus wick behavior - timing of the break relative to the range lock - optional relative volume context - directional alignment versus a moving average reference - post-break extension quality - retest depth and retest acceptance 4) State Transition Logic The script then maps price behavior into structured states such as: - Building Range - Watching Break - Bull Break Detected - Bear Break Detected - Bull Acceptance - Bear Acceptance - Failed Back In - Range Expired 5) Visual Organization The chart can display the Opening Range, the active acceptance zone, and projected target levels so that the user can visually compare the range location, the active accepted area, and nearby expansion references. SIGNALS & ALERTS The script can generate alerts for: - break events - acceptance events - failure events These alerts are intended to notify the user when a defined state transition occurs under the script's internal rules. They should be treated as workflow events, not as standalone trading instructions. KEY INPUTS Opening Range - Session Label - Opening Range Session - Timezone - Engine Timeframe - Range Extension Bars - Show Midline Quality Engine - Late Break Threshold - Acceptance Confirmation Bars - Break Search Window - Failure Tolerance - Relative Volume Length - Use Volume in Score Projected Targets - Show Targets - T1 / T2 / T3 - Target Multipliers - Target Ray Width - Target Label Style Style - Theme - State Labels - Background Tint - Label Size - Label Mode - Hero OR display - Acceptance Ribbon - Minimal OR Tag - Right-side layout controls Panel - Panel Position - Panel Font Size - Score Meter HOW THIS SCRIPT IS DIFFERENT This script is not meant to be a general-purpose support/resistance map, and it is not meant to be a broad break-retest engine applied to every chart structure. Its scope is narrower by design. The entire logic is centered on the Opening Range and what happens immediately after that range is established. Because of that, the script is more session-specific and more sequence-specific than many broader structure tools. It is also not a plain "Opening Range breakout = signal" overlay. A break can still be weak, late, accepted after retest, or rejected back into the range. That distinction is the core of the script. LIMITATIONS & TRANSPARENCY This is a rules-based interpretation tool, not a predictive model. The score is an internal quality estimate derived from the script's selected factors and thresholds. It should not be treated as an objective market truth. Opening Range behavior can vary significantly by instrument, volatility regime, session participation, and timeframe. A configuration that is useful on one symbol may not behave the same way on another. Projected targets are reference expansions based on the script's range logic. They are not guarantees, forecasts, or required destinations. Retest and acceptance behavior are also dependent on the selected engine timeframe. Lower engine timeframes may capture more detail, while higher ones may smooth some intrabar behavior. Users should review settings carefully and test the script on the instruments and sessions they actually follow. WHAT IT IS NOT This script is not: - a guarantee of breakout continuation - a promise that every accepted break will trend - a substitute for independent risk management - a standalone reason to enter or exit a trade - financial advice RISK DISCLOSURE This indicator is provided for educational and analytical use. All trading involves risk. Markets can reverse quickly, fail to follow through, or invalidate a setup even when a breakout initially looks constructive. Use the script as a structured chart-reading aid, not as a certainty engine. Position sizing, stop placement, execution quality, liquidity conditions, and broader market context remain the user's responsibility. If you use alerts, projected targets, or the quality score in a workflow, they should be interpreted within a broader decision process rather than in isolation.
Indicador Pine Script®
por AGProLabs
2
AG Pro Ichimoku Cloud Equilibrium Map [AGPro Series]AG Pro Ichimoku Cloud Equilibrium Map Overview / What it does AG Pro Ichimoku Cloud Equilibrium Map is an Ichimoku-based overlay designed to map balance, displacement, and return-to-balance behavior around a dynamic equilibrium core. Instead of using Ichimoku primarily as a traditional bullish/bearish checklist, this script reorganizes the framework around one structural question: where is price trading relative to its current equilibrium, and is that position balanced, expanding, overstretched, or reclaiming balance? The script blends Kijun-Sen with the cloud midpoint to build an equilibrium core, then expands that core into an adaptive equilibrium band using ATR and cloud thickness. From there, it classifies how price is behaving around that band and displays the result through chart states, optional labels, and a compact information panel. This script is intended as a chart analysis tool. It is built to help users read structure more efficiently, especially when standard Ichimoku layouts feel visually dense or interpretation-heavy. Unique Edge The main difference is that this script does not treat Ichimoku as a simple trend confirmation overlay. It converts the Ichimoku framework into an equilibrium map. Rather than focusing only on whether price is above or below the cloud, this script asks: - Is price still near structural balance? - Is price moving away from equilibrium in a controlled way? - Has the move become stretched? - Is price returning back into equilibrium after displacement? That makes it different from a standard Ichimoku presentation, where the raw components are visible but the user must do most of the structural interpretation manually. It is also different from other AG Pro scripts built around breakout quality, oscillator pressure, compression behavior, or reversion frameworks. This tool is specifically centered on equilibrium, extension, and reclaim behavior using an Ichimoku-derived structure model. Methodology The script uses the following structure: 1. Kijun-Sen Kijun-Sen is used as one of the main balance anchors. 2. Cloud midpoint The midpoint between Span A and Span B is used as a second structural reference. 3. Equilibrium core The script combines Kijun-Sen and the cloud midpoint into a dynamic equilibrium core. 4. Equilibrium band An adaptive band is built around the equilibrium core using ATR and cloud thickness. This allows the model to respond differently in quieter and more volatile conditions. 5. Stretch zones Beyond the equilibrium band, the script defines stretch areas that help distinguish normal directional expansion from more extended displacement. 6. Reclaim logic When price moves back into the equilibrium region after being outside it, the script can classify that transition as a reclaim state. This methodology is designed to make Ichimoku structure more explicit without removing the original context of the cloud framework. States / Signals & Alerts The script classifies chart behavior into the following states: Balanced Price is trading inside the equilibrium band. Bullish Expansion Price is trading above the equilibrium band with supportive directional structure. Bearish Expansion Price is trading below the equilibrium band with supportive directional structure. Overstretched Bullish Price is extended above the stretch threshold. Overstretched Bearish Price is extended below the stretch threshold. Bullish Reclaim Price has returned into the equilibrium region after trading below it. Bearish Reclaim Price has returned into the equilibrium region after trading above it. Available alert conditions: - Bullish Expansion - Bearish Expansion - Overstretched Bullish - Overstretched Bearish - Bullish Reclaim - Bearish Reclaim These states and alerts are descriptive tools for chart analysis. They are not a complete trade plan and should be interpreted in context. Key Inputs Ichimoku settings Users can adjust Tenkan length, Kijun length, Senkou Span B length, and displacement. Equilibrium engine settings Users can control ATR length, equilibrium band sensitivity, cloud-thickness contribution, stretch sensitivity, and chop lookback. Visual settings Users can control cloud visibility, Kijun visibility, equilibrium band visibility, stretch zones, state labels, label density, and panel appearance. These inputs allow the script to be tuned for different symbols, volatility conditions, and chart preferences. Limitations & Transparency This script is an indicator, not a strategy. It does not place trades, manage positions, calculate performance, or guarantee outcomes. The Equilibrium Score is an internal structure summary built from distance, alignment, cloud thickness, Tenkan/Kijun spread, reclaim contribution, and chop penalty. It is not a probability model, not a forecast, and not a standalone decision engine. Overstretched conditions do not automatically imply reversal. Reclaim conditions do not automatically imply continuation. Expansion conditions do not automatically imply strength will persist. As with any chart tool, interpretation depends on market regime, timeframe, volatility, and the user’s broader workflow. In noisy environments, state changes can occur more frequently. The script includes filters to reduce clutter, but no indicator removes uncertainty completely. Risk Disclosure This script is provided for research and chart analysis only. It is not financial advice. Users should evaluate any signal, state change, or alert within their own process, risk framework, and market context before making decisions.
Indicador Pine Script®
por AGProLabs
2
Hash Auto Fibonacci## Overview Hash Auto Fibonacci eliminates the most time-consuming part of Fibonacci trading — drawing the levels yourself. Drop it on any chart and it automatically detects the most recent significant swing high and swing low, then instantly draws a complete Fibonacci retracement web anchored to those pivots. No manual drawing, no subjectivity, no missed setups. Built for active traders who use Fibonacci as a core part of their strategy, this tool is engineered to keep up with fast-moving markets through a volatility-adaptive detection engine, a highlighted Golden Pocket zone, a built-in stop-loss reference, and optional multi-timeframe confirmation. ## Key Features **Automatic Swing Detection** The indicator uses a pivot-based algorithm to identify swing highs and lows in real time. A pink dot marks the swing high and a green dot marks the swing low on the chart — always showing only the current active pair, never cluttering your screen with historical markers. **Dynamic Lookback Engine** Rather than using a fixed lookback period, Hash Auto Fibonacci automatically adjusts its sensitivity based on current market volatility. During high-volatility conditions (fast trending moves, breakouts), the lookback shortens to detect swings quickly. During low-volatility conditions (consolidation, ranging markets), it lengthens to filter out noise and identify only meaningful pivots. This is calculated using the ratio of a 50-period ATR to a 10-period ATR, scaled by a user-adjustable multiplier. You can also switch to a fixed manual lookback at any time. **Fibonacci Retracement Levels** The following retracement levels are drawn automatically: - 0 (swing high anchor) - 0.236 - 0.382 - 0.5 - 0.618 - 0.65 - 0.786 - 1.0 (swing low anchor) Optional extension levels (1.272, 1.618, 2.618) can be enabled for targets beyond the swing low. **The Golden Pocket Zone** The 0.618–0.65 confluence zone is highlighted as a gradient-filled amber band directly on the chart. This region — known as the Golden Pocket — is widely regarded as the highest-probability reversal zone within any Fibonacci retracement. The zone enforces an ATR-based minimum thickness so it remains visible even on assets with small absolute price ranges. **ATR Stop-Loss Reference** A dashed red line is automatically drawn below the swing low (bullish setup) or above the swing high (bearish setup) at a distance of 2× ATR-10. This gives a data-driven starting point for your stop-loss placement without requiring a separate indicator. **Multi-Timeframe Confirmation** When the current chart's swing pivot aligns within 0.5% of a confirmed pivot on a higher timeframe (default: 4H), the entire Fibonacci web is visually upgraded — lines become bolder, a confirmation badge appears, and an alert can be triggered. MTF-confirmed webs represent structurally significant levels that multiple timeframes agree on, which historically carry more weight as support and resistance. **Direction Detection** The indicator automatically determines whether the current setup is bullish (retracing upward from a low) or bearish (retracing downward from a high) by comparing which pivot — the high or the low — was confirmed most recently. You can override this manually if needed. **Info Dashboard** A clean navy dashboard in the corner of your chart displays: - Current swing high and swing low prices - 0.5 and 0.618 Fibonacci levels - Golden Pocket price range - Suggested ATR-based stop-loss price - Active lookback period (and whether it's dynamic or manual) --- ## How To Use **Basic setup** Add the indicator to any chart. It works on all timeframes and all assets — crypto, stocks, forex, futures. The Fibonacci web draws automatically. The Golden Pocket zone is the primary area to watch for price reactions. **Reading the chart** - Price pulling back into the Golden Pocket (0.618–0.65 zone) in a bullish setup is the classic high-probability long entry zone - Price rejecting from the Golden Pocket in a bearish setup is a potential short entry or profit-taking zone - The 0.5 level acts as the midpoint — a close above (bullish) or below (bearish) confirms continuation of the retracement - The 0.786 level is deep — a sweep past this level often signals the retracement is becoming a full reversal **Using the stop-loss line** The dashed red SL line is a reference, not a guaranteed stop placement. Use it as a starting point and adjust to your own risk tolerance. On volatile assets, consider placing your stop slightly beyond it to avoid wicks triggering your exit prematurely. **Multi-timeframe confirmation** When the ◆ MTF badge appears, the swing that anchors the current web also exists on the higher timeframe. These setups tend to produce cleaner reactions at Fibonacci levels because they represent areas where both short-term and institutional timeframe participants are watching the same price zone. **Alerts** Five alert conditions are available: - New swing high detected - New swing low detected - MTF confirmation active - Price entering the Golden Pocket - Price at the 0.382 level - Price at the 0.786 level Set these in the Alerts panel to get notified without watching the chart constantly. --- ## Settings Reference **Swing Detection** | Setting | Default | Description | |---|---|---| | Dynamic lookback | On | Automatically adjusts pivot sensitivity based on volatility | | Manual lookback | 10 | Fixed lookback used when dynamic mode is off | | Dynamic multiplier | 9 | Controls the average lookback length in dynamic mode | | Direction mode | Auto | Auto, Bullish, or Bearish override | | Show swing markers | On | Displays pivot dots on the chart | **Multi-Timeframe Confirmation** | Setting | Default | Description | |---|---|---| | MTF confirmation | On | Enables higher timeframe pivot alignment check | | HTF timeframe | 240 (4H) | The timeframe used for confirmation pivots | **Fibonacci Levels** | Setting | Default | Description | |---|---|---| | Retracement levels | On | Draws the standard 0–1 retracement web | | Extension levels | Off | Adds 1.272, 1.618, 2.618 extension targets | | Ratio labels | On | Shows ratio numbers next to each level | | Golden Pocket zone | On | Highlights the 0.618–0.65 zone | | ATR stop-loss line | On | Draws the 2× ATR stop reference | **Info Table** | Setting | Default | Description | |---|---|---| | Show info table | On | Displays the dashboard | | Position | Top Right | Corner placement of the dashboard | --- ## Notes - This indicator is an overlay — it draws directly on the price chart - Works on all timeframes, all markets, and all asset classes available on TradingView - The dynamic lookback is calibrated on BTC/USDT 1H data and performs well across most liquid crypto and equity instruments - Past Fibonacci levels do not guarantee future price reactions — use this tool as part of a broader trading system, not as a standalone signal - This indicator does not repaint. Swing pivots are confirmed before being drawn and are not subject to change after confirmation --- ## By Hash Capital Research
Indicador Pine Script®
por Hash_Capital
AG Pro Price Acceptance Profile [AGPro Series]AG Pro Price Acceptance Profile OVERVIEW AG Pro Price Acceptance Profile is a price-structure tool designed to reveal where the market is spending time, where it is repeatedly returning, and where it is rejecting price efficiently. Instead of using volume distribution, signal arrows, or breakout-style triggers, this script builds an acceptance/rejection map from price-time interaction inside a rolling lookback window. The goal is simple: make it easier to identify where price is being accepted, where it is being rejected, and whether current price is trading inside balance or at its outer edges. This is not a volume profile clone, not a support/resistance line generator, and not a momentum signal script. It focuses on one specific question: Which price areas are currently showing repeated acceptance, and which areas are failing to hold price? That narrow focus is intentional. The script is built as an analytical context tool rather than an entry engine. UNIQUE EDGE The core idea is to measure acceptance through price-time behavior rather than centralized volume data. The profile logic evaluates how often price revisits a zone, how long it tends to remain there, and how efficiently it exits that zone. This creates a structured map of: - Acceptance zones - Rejection zones - The active balance area - The current market state relative to that balance Because the methodology is based on price persistence and revisit behavior, the script can be useful on markets where volume-based profiling is either unavailable, fragmented, or not the preferred analytical lens. METHODOLOGY The script divides the rolling price range into rows and evaluates each row using multiple internal dimensions derived from recent bars: 1) Time at price Measures how frequently the market occupies each row across the selected lookback. 2) Revisit density Tracks how often price returns to a row after leaving it. Repeated revisits can indicate ongoing acceptance or unfinished balancing behavior. 3) Dwell persistence Approximates whether the market tends to spend stable time in an area rather than only touching it briefly. 4) Rejection speed Measures how efficiently price exits an area after interaction. Faster and cleaner exits tend to support rejection classification. 5) Balance mapping Uses the strongest acceptance region to define the current balance area and then classifies the live market location relative to it. The result is a simplified profile-style framework built from price behavior itself. HOW TO READ IT The large balance area highlights the current acceptance region derived from the profile engine. Acceptance zones mark price areas that showed stronger persistence, repeated interaction, and better structural acceptance within the chosen lookback. Rejection zones mark areas where price interacted but failed to remain stable, leading to less durable occupation and faster displacement. The panel is designed to summarize the current profile state: - Acceptance Strength: relative quality of the dominant accepted area - Revisit Density: how actively the market is returning to profiled zones - Balance Width: width of the accepted region relative to the full profiled range - Rejection Speed: how efficiently price is leaving unstable areas - Location: whether current price is inside, above, or below balance In practice, traders can use the script to distinguish between stable trade location and unstable trade location, instead of treating every nearby level as equally important. KEY INPUTS Lookback Controls how much recent history is used to build the profile. Rows Defines profile resolution. Higher values increase granularity but can also make the map more sensitive. Acceptance Threshold / Rejection Threshold Adjust how selective the script is when classifying stronger acceptance and rejection areas. Maximum Acceptance / Rejection Zones Controls chart density and visual focus. Panel and label settings Allow adaptation for different chart layouts and screen sizes. LIMITATIONS AND TRANSPARENCY This script does not predict future price movement. It does not generate guaranteed reversal points. It does not replace execution logic or risk management. Acceptance and rejection are contextual measurements derived from the selected lookback and row resolution. Different settings can produce different maps because the profile is adaptive by design. As with any charting tool based on rolling historical context, zones may evolve when older bars leave the lookback window and new bars enter it. This script is best used as a contextual framework for market location, not as a standalone trade mandate. RISK DISCLOSURE This indicator is for analytical and educational use only. It does not provide financial advice, investment advice, or trading guarantees. All trading decisions remain the responsibility of the user.
Indicador Pine Script®
por AGProLabs
1
AG Pro Reaction Efficiency Meter [AGPro Series]AG Pro Reaction Efficiency Meter OVERVIEW AG Pro Reaction Efficiency Meter is a reaction-analysis overlay designed to evaluate how efficiently price responds after interacting with a confirmed swing support or swing resistance level. The core purpose of this script is not to predict every turning point and not to classify every horizontal level on the chart as tradable. Its purpose is narrower and more specific: it measures the quality of the price response that develops after a meaningful level interaction has already occurred. Many scripts attempt to solve the broader problem of structure mapping, breakout detection, trend qualification, or general support/resistance projection. This publication is intentionally more focused. Instead of asking whether a level exists, it asks a different question: once price reaches a key swing level, how efficient is the reaction that follows? That distinction matters. In practice, traders often see price touch a level and react, but the response can vary widely in quality. Some reactions displace quickly and cleanly. Others hesitate, produce shallow movement, or reverse almost immediately. This script was built to help quantify that difference. ORIGINALITY AND UTILITY This script should not be read as a variation of a breakout validator, a failed-break detector, a repeated-touch survival model, or a broad decision-support dashboard. It addresses a more specific analytical problem. Its unique angle is event-based reaction evaluation. The script waits for price to interact with a confirmed swing level, opens a fixed reaction window, tracks favorable and adverse movement during that window, and converts the observed response into a compact efficiency score. In other words, this tool is not primarily a level-discovery framework. It is a reaction-quality framework. That means the script is less concerned with drawing many levels and more concerned with evaluating the response quality after a selected level has already been touched. The output is meant to help users distinguish between: - shallow versus meaningful reactions, - delayed versus immediate displacement, - orderly versus noisy response behavior, - and reactions that hold versus reactions that fade quickly. WHAT THE SCRIPT DOES The script identifies confirmed swing highs and swing lows using a pivot-based structure model. When price later returns to one of those levels within a user-defined ATR-based tolerance, the script treats that interaction as a reaction event candidate. It then observes a fixed number of bars after the interaction and measures how the response develops. The result is summarized as: - a directional reaction label, - a numerical score, - a qualitative class, - optional touch markers, - and a compact mini panel showing the most recent bullish and bearish readings. A bullish reading is produced when price interacts with a support level and the subsequent response is evaluated upward from that level. A bearish reading is produced when price interacts with a resistance level and the subsequent response is evaluated downward from that level. HOW THE REACTION SCORE IS BUILT The score is not based on a single candle and not based on simple wick rejection alone. It uses a small event window and evaluates multiple aspects of the response. Conceptually, the scoring process emphasizes the following: 1) Reaction distance How far price moves in the favorable direction after the level interaction. 2) Reaction speed How quickly the favorable movement develops inside the defined reaction window. 3) Response cleanliness Whether the movement remains reasonably controlled instead of becoming heavily degraded by opposing movement. 4) Follow-through quality Whether the reaction keeps a meaningful part of its favorable displacement instead of giving most of it back. 5) Failure pressure Whether adverse movement becomes large enough to reduce the quality of the response. The final score is then grouped into a compact classification scale: - WEAK - LIMITED - FAIR - STRONG - EFFICIENT These labels are not trade signals and are not performance promises. They are shorthand descriptions of the observed response quality inside the chosen event window. HOW TO READ THE OUTPUT A typical workflow is straightforward: 1) Let the script plot its active swing support and resistance levels. 2) Wait for price to interact with one of those levels. 3) Observe the resulting bullish or bearish reaction label once the event window completes. 4) Compare the score and class with the surrounding market context rather than reading the label in isolation. In practical terms: - a low score suggests that price touched the level but the response was weak, delayed, noisy, or quickly compromised, - a mid-range score suggests that the reaction was present but not especially efficient, - a higher score suggests that the response developed with better displacement, better timing, and better retention during the evaluation window. The mini panel is intended to give a concise summary of the latest bullish and bearish readings and the current event-window state, not to replace visual inspection of price itself. HOW THIS SCRIPT DIFFERS FROM OTHER ANALYTICAL TOOLS This publication does not attempt to be all of the following at once: - a breakout confirmation engine, - a retest-quality validator, - a failed breakout model, - a repeated-level durability model, - a regime classifier, - or a multi-module trading dashboard. Those are separate analytical problems. This script is designed around one narrower question: How efficient was the response after price interacted with a meaningful swing level? That narrower scope is intentional. It keeps the tool readable, event-driven, and specialized. WHO MAY FIND IT USEFUL This script may be useful for traders who already work with price interaction around structure and want an additional layer for evaluating reaction quality rather than just identifying where levels are located. Examples include users who monitor: - swing support and resistance reactions, - pullback responses into prior pivots, - rejection behavior at local extremes, - and short-horizon price response quality after a level interaction. Because the script focuses on event evaluation rather than broad market narration, it can also work as a secondary interpretive layer alongside a trader's existing structure framework. INPUTS Levels - Pivot Length: controls how swing highs and swing lows are confirmed. - Max Active Levels / Side: limits how many support and resistance levels remain active on the chart. Reaction Engine - ATR Length: defines the ATR reference used for normalization. - Touch Tolerance (ATR): determines how close price must come to a level for the interaction to qualify. - Reaction Window Bars: sets the number of bars used to evaluate the response after a touch. - Minimum Bars Between Tests: helps reduce repeated immediate retesting of the same level. Display - Show Resistance Levels / Show Support Levels: toggles level visibility. - Show Touch Markers: displays the interaction markers. - Show Reaction Labels: displays the completed bullish or bearish labels. - Keep Historical Labels: keeps prior results visible on the chart. - Max Historical Labels: limits chart clutter by controlling how many historical labels remain. - Show Mini Panel: toggles the summary panel. - Label Size and Label Offset (ATR): control chart readability. PRACTICAL INTERPRETATION NOTES A stronger score does not mean a level is universally important. It only means that, within the configured event window, the response was more efficient by the script's own measurement logic. A weaker score does not necessarily mean the level failed in every practical sense. It may simply indicate that the response was too slow, too shallow, too noisy, or too vulnerable to adverse movement to rank highly under this model. Because the script is event-window based, changing the pivot length, touch tolerance, or reaction window can materially change how often signals appear and how they are classified. Users should therefore interpret the output relative to the settings they choose and the market they study. LIMITATIONS AND TRANSPARENCY This script uses a pivot-based structure model. By design, pivot confirmation requires completed bars, so levels appear only after the relevant swing structure is confirmed. The script does not forecast future returns, does not estimate win rate, and does not promise reversal success. It evaluates observed response quality after a level interaction and summarizes that response through a compact score. The model also does not understand news, liquidity shocks, session changes, order-book dynamics, or external catalysts. A reaction that scores well in one environment may behave differently in another. Very low-liquidity markets, abrupt volatility expansions, and symbols with unstable intrabar behavior can all affect how efficiently reactions appear and how readable the output becomes. This tool should therefore be treated as a structured reaction lens, not as a standalone decision engine. WHAT THIS SCRIPT IS NOT It is not a strategy. It does not place trades. It does not generate backtest results. It does not provide guaranteed entry, stop, or target logic. It does not claim to identify every strong level on a chart. It does not claim that a high score guarantees continuation or reversal. RISK DISCLOSURE This script is an analytical tool for studying price behavior around confirmed swing levels. It is not financial advice and should not be treated as a promise of future market behavior. All market decisions involve risk. Use additional context, independent judgment, and risk controls when interpreting any reaction score or classification produced by the script.
Indicador Pine Script®
por AGProLabs
1
AG Pro Failed Break Quality [AGPro Series]AG Pro Failed Break Quality OVERVIEW AG Pro Failed Break Quality is a rules-based indicator designed to evaluate failed breakout and failed breakdown events around confirmed horizontal structure. The script is built for a different market event than AG Pro Break-Retest Quality. While Break-Retest Quality focuses on a confirmed break first and then measures the quality of the first retest after that break, this script focuses on the opposite side of structure behavior: attempted breaks that fail, followed by a reclaim back through the level. In practical terms, the script looks for situations where price moves through a confirmed support or resistance area, fails to sustain that move, and then reclaims the level. It then scores that reclaim event using a structured process instead of treating every failed break as equally meaningful. This is important because not all failed breaks carry the same information. Some are shallow liquidity probes. Some are noisy whipsaws inside weak structure. Some produce an immediate reclaim but show poor follow-through. Others reclaim cleanly and then continue away from the level with enough confirmation to justify attention. The purpose of this script is to separate those outcomes in a transparent and repeatable way. The indicator combines three visual layers: 1) confirmed horizontal structure, 2) active support and resistance zones, 3) scored reclaim events labeled as Bullish Reclaim or Bearish Reclaim. The result is a structure-aware failed break framework that helps users study when a level rejection becomes a valid reclaim event rather than just a temporary spike through support or resistance. WHAT THIS SCRIPT DOES The script identifies confirmed support and resistance areas from repeated pivot interaction, builds narrow structure zones around those levels, and then monitors price for failed break behavior. For bullish reclaim logic, the script tracks cases where price breaks below confirmed support, fails to continue lower in a meaningful way, and then closes back above the level. After that reclaim, it evaluates the event using follow-through and adverse-move checks. If the event meets the minimum quality threshold, a Bullish Reclaim label is printed. For bearish reclaim logic, the script tracks cases where price breaks above confirmed resistance, fails to continue higher in a meaningful way, and then closes back below the level. If the reclaim is confirmed by follow-through and passes the quality filter, a Bearish Reclaim label is printed. The indicator is not trying to call every local reversal. It is specifically centered on failed breaks around confirmed horizontal structure. WHY THIS SCRIPT IS DIFFERENT FROM AG PRO BREAK-RETEST QUALITY This distinction should be explicit. AG Pro Break-Retest Quality and AG Pro Failed Break Quality are related by theme, but they are not the same script, not the same event model, and not the same decision framework. AG Pro Break-Retest Quality is built around this sequence: - a confirmed horizontal level is broken, - price later returns to that broken level, - the script evaluates the quality of the first retest. That tool is centered on continuation logic after a confirmed break. The core question there is: “How clean and meaningful is the first retest after the break?” AG Pro Failed Break Quality is built around a different sequence: - price attempts to break through confirmed support or resistance, - the move fails, - price reclaims the level, - the script evaluates the quality of that failed break reclaim. The core question here is: “How meaningful is the reclaim after the failed break?” That is a materially different problem. More specifically, the two scripts differ in the following ways: 1) Event type Break-Retest Quality studies post-break retests. Failed Break Quality studies failed breaks and reclaim events. 2) Structural interpretation Break-Retest Quality treats the level as already resolved by a confirmed break and then studies the return into that level. Failed Break Quality treats the level as still contested until the false break fails and the reclaim is confirmed. 3) Signal meaning Break-Retest Quality is primarily about continuation quality after a break. Failed Break Quality is primarily about rejection and reversal quality after a failed break. 4) Lifecycle logic Break-Retest Quality monitors break -> retest. Failed Break Quality monitors break attempt -> failure -> reclaim -> follow-through. 5) Scoring context Break-Retest Quality is scoring the retest event after a valid break. Failed Break Quality is scoring the reclaim event after an invalid break attempt. 6) Use case Break-Retest Quality is better suited to studying continuation structures. Failed Break Quality is better suited to studying rejection structures, failed auctions, and reclaim behavior. For moderation and transparency purposes, this script should be understood as a separate analytical tool that addresses a separate market behavior. It is not a relabel, not a cosmetic fork, and not a title-only variation of the previous script. The logic path, event sequencing, signal interpretation, and intended use case are different. HOW THE SCRIPT WORKS The workflow is intentionally structured. Step 1: Confirm horizontal structure The script first builds support and resistance references from repeated pivot interaction. A level is not treated as confirmed from a single touch. The idea is to require some structural validation before failed break logic is applied. Step 2: Build active zones Once structure is confirmed, the script draws narrow support and resistance zones around the center level. These zones provide context for the reclaim logic and make it easier to understand whether price is interacting with meaningful structure or just drifting inside noise. Step 3: Detect the break attempt For bullish reclaim candidates, price must break below confirmed support by at least a minimum depth threshold. For bearish reclaim candidates, price must break above confirmed resistance by at least a minimum depth threshold. This is meant to reduce trivial level pokes that do not represent a real break attempt. Step 4: Require the reclaim After the failed break attempt, price must reclaim back through the level within a limited number of bars. If the reclaim never happens, or happens too late, the candidate is rejected. Step 5: Evaluate quality When the reclaim occurs, the script measures the event using a scoring framework that includes: - level integrity, - break weakness, - reclaim speed, - rejection strength, - follow-through quality. Step 6: Apply event filtering The script does not print every reclaim candidate. The event must pass the minimum score threshold and additional follow-through checks before a label is shown. Step 7: Lock the structure family To avoid repeated low-value prints from the same structure family, the script uses family-based logic so identical or near-identical structure does not continuously generate duplicate reclaim labels. SCORE COMPONENTS The score is not a predictive promise. It is a rules-based quality filter. Level Integrity This component reflects how structurally meaningful the level appears based on repeated interaction. Levels built from stronger repeated clustering are treated more seriously than isolated single-point reactions. Break Weakness This component evaluates how convincing or unconvincing the break attempt was. A weak extension beyond the level is not treated the same as a broad, sustained move. Reclaim Speed This component measures how quickly price reclaims the level after the failed break. Faster reclaims generally receive more credit than slow or delayed recoveries. Rejection Strength This component evaluates candle behavior at reclaim. It considers the internal rejection character of the reclaim bar, such as wick structure, close location, and body behavior. Follow-Through This component evaluates whether price actually continues away from the reclaimed level rather than simply crossing it and stalling immediately. Together these inputs help the script distinguish between a clean reclaim and a weak, low-information bounce. VISUAL COMPONENTS Bullish Reclaim Printed when support is broken, the break fails, price reclaims the support level, and the event passes the score and follow-through filters. Bearish Reclaim Printed when resistance is broken, the break fails, price reclaims back below resistance, and the event passes the score and follow-through filters. Support Zone An active support structure zone derived from confirmed horizontal interaction. Resistance Zone An active resistance structure zone derived from confirmed horizontal interaction. Confirmed Levels The script also draws the center level for each active structure zone. BEST USE CASE This script is primarily designed for 1H to 4H use. In that range, structure usually has enough stability to support reclaim analysis while still providing a practical number of events to study. It can also be used on higher timeframes for broader structural context, but event frequency may decrease and the output becomes more selective. On lower timeframes, users should expect more noise and should interpret reclaim signals in the context of market regime, volatility, and chart structure rather than as standalone triggers. KEY INPUTS Base Pivot Length Controls the pivot length used in structure formation. Base Level Match Tolerance (ATR) Controls how tightly pivots must cluster to be treated as part of the same level. Base Minimum Touches Controls how many interactions are required before a level is treated as confirmed. Base Minimum Break Depth (ATR) Defines the minimum extension beyond the level required to qualify as a true break attempt. Base Maximum Bars Allowed For Reclaim Defines how long the script will wait for a reclaim before rejecting the candidate. Base Follow-Through Bars Controls how many bars are used before the reclaim event is fully evaluated. Base Minimum Follow-Through (ATR) Controls how much movement away from the reclaimed level is required. Base Maximum Adverse Move (ATR) Limits how much adverse movement is tolerated after the reclaim. Base Family Reset Band (ATR) Controls how structure families are grouped and reset. Base Minimum Score To Print Defines the minimum score required before a reclaim event is displayed. Signal Label Size / Structure Tag Size / Structure Tag Bars Forward These settings allow users to adjust the visual layout for readability. TRANSPARENCY AND LIMITATIONS This script is not a prediction engine. It does not forecast future direction with certainty. It evaluates the quality of a specific structure event after price behavior has already revealed a failed break and reclaim pattern. Like all structure-based tools, it depends on chart context. The same reclaim score may behave differently in a trend, a range, or a highly volatile event-driven environment. The script does not replace execution rules, risk management, or broader market analysis. Users should also be aware that: - structure quality can vary across symbols and timeframes, - lower timeframes may produce more noise, - higher timeframes may produce fewer but slower events, - reclaim signals can still fail, - zones are model-based approximations of structure, not guaranteed support or resistance. Because the script uses confirmed pivot and bar-based reclaim logic, signal timing may differ from purely discretionary chart marking. That is expected. The goal is consistency and transparency rather than manual hindsight labeling. WHAT THIS SCRIPT IS NOT This script is not a breakout strategy. This script is not a generic reversal marker. This script is not a repainted “perfect top and bottom” detector. This script is not a renamed copy of AG Pro Break-Retest Quality. It is a separate structure-analysis tool focused on failed break reclaim quality. ALERTS Bullish Reclaim Fires when a bullish reclaim event is confirmed under the script’s rules. Bearish Reclaim Fires when a bearish reclaim event is confirmed under the script’s rules. Because alerts are tied to confirmed rule conditions, they should be interpreted as event notifications, not guaranteed trade outcomes. PRACTICAL INTERPRETATION A Bullish Reclaim label means the script detected a failed breakdown below confirmed support, followed by a reclaim and enough validation to classify that reclaim as meaningful. A Bearish Reclaim label means the script detected a failed breakout above confirmed resistance, followed by a reclaim back below that level and enough validation to classify that reclaim as meaningful. Neither label should be treated as financial advice or as a guaranteed trade instruction. RISK DISCLOSURE This indicator is for chart analysis and educational use. It does not guarantee outcomes. Markets are probabilistic, and any reclaim event can fail. Always use independent judgment, position sizing discipline, and risk management. NOT FINANCIAL ADVICE
Indicador Pine Script®
por AGProLabs
1
AG Pro Session Reaction Map [AGPro Series]AG Pro Session Reaction Map OVERVIEW AG Pro Session Reaction Map is an intraday overlay designed to measure how price reacts to selected reference levels around major session openings. Instead of treating each session start as a directional signal by itself, the script checks whether the opening area interacts with a nearby reference level and then scores the quality of the reaction over a fixed evaluation window. The goal is not to predict the future. The goal is to help traders organize session-based context in a structured way and quickly identify whether the reaction around a level was weak, mixed, or relatively clean. WHAT THIS SCRIPT TRACKS The script can evaluate reactions around the following reference levels: - Previous Day High - Previous Day Low - Previous Day Mid - Daily Open - Weekly Open It then monitors the selected session openings: - Asia - London - New York When a new session begins, the script checks whether the opening price is close enough to one of the enabled reference levels using an ATR-based tolerance. If a valid interaction exists, the script starts a short reaction study and evaluates the next bars. HOW THE REACTION SCORE WORKS The score is a reaction-quality score, not a prediction score. In general terms, the model gives more weight to: - directional expansion away from the reference level, - how well price closes away from that level, - wick structure supporting the measured move, - and how limited the opposing move remains during the evaluation window. Higher values therefore suggest a cleaner and more directional response around that level during the measured window. Lower values usually reflect a noisier or less decisive reaction. HOW TO READ THE LABELS Each label contains three pieces of information: 1) Session name and score 2) The reference level that was tested 3) The measured bias over the evaluation window Examples: - Asia 79 / D-Open / Up - London 74 / PDM / Down A label such as "Asia 79 / D-Open / Up" means that the script detected a valid Asia-session interaction near the Daily Open and, over the evaluation window, the measured reaction was upward and relatively strong. IMPORTANT NOTES - This script is not a strategy. - It does not place trades. - It does not claim that a high score guarantees continuation. - It measures the quality of a reaction after a valid session-opening interaction is detected. For that reason, the output is best used as a context and reaction-mapping tool rather than a standalone execution model. VISUAL ELEMENTS The script can display: - selected reference levels, - session start markers, - reaction labels, - and a compact panel showing the last completed event. The panel reports: - last session, - reference level, - measured bias, - score, - evaluation window, - label filter status, - and overlap-reduction status. KEY INPUTS Session settings - Session timezone - Asia, London, and New York session windows - Per-session colors Reference levels - Previous Day High - Previous Day Low - Previous Day Mid - Daily Open - Weekly Open Reaction logic - ATR Length - Touch Tolerance (ATR) - Evaluation Bars - Label score filter - Minimum label score - Overlap reduction - Minimum bars between labels Visual controls - Show/hide reference levels - Show/hide panel - Dark or Light panel theme - Show/hide session start dots - Label size - Label offset - Label background transparency HOW TO USE IT One practical workflow is: - identify which session produced the reaction, - note which reference level was involved, - read the measured bias, - compare the score with nearby events on the same chart, - and use that information together with your own market structure, trend, volatility, or execution framework. The tool is especially useful when you want to compare whether reactions around the Daily Open, previous-day extremes, or weekly open are behaving differently across sessions. LIMITATIONS AND TRANSPARENCY This script is designed for intraday analysis. Its usefulness depends on the chart timeframe, the selected session definitions, the enabled reference levels, and the chosen tolerance settings. The script does not classify intent behind price movement and does not distinguish between continuation, rejection, or acceptance with separate semantic labels. It measures the observable quality and direction of the reaction within the selected window. Like any event-based overlay, it can produce fewer or more labels depending on market conditions and user settings. Higher label filters and overlap reduction can make the chart cleaner, but they will also hide some lower-priority events. DEFAULT CHART BEHAVIOR The published chart should be viewed together with the script's default settings unless otherwise stated in the chart notes. If you prefer a cleaner chart, increasing the minimum label score can significantly reduce visual clutter. RISK DISCLOSURE This indicator is provided for analytical and educational purposes only. It does not provide investment advice, does not guarantee outcomes, and should not be treated as a complete trading system. Release Notes (V1.0) Initial public release. This version introduces an intraday session-reaction overlay that evaluates how price responds to selected reference levels around Asia, London, and New York openings. The first release includes: - ATR-based touch validation, - reaction scoring over a configurable evaluation window, - optional filtering for weaker labels, - overlap reduction for cleaner chart presentation, - reference-level plots, - session start markers, - and a compact summary panel for the last completed event. The summary panel reports the last completed event, even when the corresponding on-chart label is hidden by the active label filter. The script is designed as a context and reaction-mapping tool, not as a trade-entry engine.
Indicador Pine Script®
por AGProLabs
1
Price Memory Heatmap [BullByte]Price Memory Heatmap - Dynamic Support & Resistance Through Market Memory Price Memory Heatmap visualizes where markets remember. It identifies price levels where repeated reactions have occurred, measures their intensity through a proprietary heat system, and displays them as dynamic zones that strengthen with each new reaction and naturally fade when the market moves on. This is not a combination of existing indicators. It is a unified analytical framework built around one original concept: price levels accumulate heat from confirmed reactions and lose heat through exponential decay when untouched. The result is a self-organizing, self-cleaning map of historically significant price zones that evolves with every bar. --- WHAT THIS INDICATOR DOES Price Memory Heatmap tracks price levels where significant market reactions have occurred. Each level is treated as a living entity with memory: → Gains heat when price reacts at it (confirmed pivots and wick rejections) → Loses heat over time when untouched (exponential decay) → Displays visual intensity proportional to accumulated reaction history → Gets removed automatically when its heat falls below a minimum threshold → Classifies real-time price behavior at each zone (Rejection, Sweep, Break, Retest, Absorption) The indicator tracks up to 20 memory levels simultaneously and displays only the most significant ones based on heat intensity and reaction count. Zones are color-coded from cool (low activity) to hot (high activity), giving instant visual hierarchy of level importance. Key outputs: → Heat-mapped zones showing historical reaction intensity → Classification labels (Developing, Active, Strong, Dominant) → Hit count showing total confirmed reactions at each level → Relative volume multiplier showing conviction behind reactions → Level age tracking (Fresh, Seasoned, Veteran) → Real-time behavior detection integrated into zone labels → Summary dashboard ranking all active levels by heat --- WHY THIS INDICATOR EXISTS Traditional support and resistance tools draw static lines. They cannot tell you whether a level was tested once or ten times, whether reactions were backed by strong volume or weak, whether the level was formed yesterday or months ago, or how price is currently interacting with that level. Price Memory Heatmap addresses each of these gaps through a single cohesive system: PROBLEM: "Is this level significant?" → SOLUTION: Heat intensity and classification tier tell you immediately. A Dominant zone with 8 hits is far more significant than a Developing zone with 2 hits. PROBLEM: "Was there conviction behind reactions at this level?" → SOLUTION: Relative volume multiplier shows whether reactions attracted above-average volume (e.g., 2.3x means 2.3 times the average bar volume). PROBLEM: "Is this level still relevant?" → SOLUTION: Exponential decay naturally fades untouched levels. If the market has forgotten a level, the indicator forgets it too. PROBLEM: "How is price interacting with this level right now?" → SOLUTION: Real-time behavior detection classifies the current interaction as Rejection, Sweep, Break, Retest, or Absorption. PROBLEM: "How old is this level?" → SOLUTION: Age tracking categorizes each level as Fresh (recently formed), Seasoned (survived multiple decay cycles), or Veteran (persistent structural significance). --- HOW PRICE MEMORY WORKS The lifecycle of a memory level: BIRTH - A confirmed pivot swing (high or low) creates a new memory level, or merges into a nearby existing level if one exists within the merge distance. REINFORCEMENT - Each subsequent reaction at the level adds heat. Reactions with above-average volume add proportionally more heat. The level's price adjusts as a weighted average of all reactions. DECAY - Every bar without a reaction, the level's heat is multiplied by the decay rate (default 0.992). This creates a natural half-life where untouched levels gradually lose prominence. DEATH - When heat falls below the death threshold (default 0.08), the level is permanently removed. This keeps the chart clean and focused on relevant levels. The heat value drives everything: → Zone color intensity (hotter = more prominent visual) → Classification tier (Dominant, Strong, Active, Developing) → Dashboard ranking (sorted by heat, hottest first) → Glow effect intensity (stronger glow on high-heat zones near price) Additionally, wick rejections are detected as secondary reaction sources. When a candle wicks into an existing level and rejects (closes away), it adds heat at half the rate of a confirmed pivot, preventing over-weighting of intrabar noise while still capturing meaningful reactions. --- WHY THIS IS NOT A MASHUP This indicator uses pivot detection, ATR, and volume data internally, but it does not combine or display existing indicators. The distinction is fundamental: A mashup displays independent indicators together on one chart. This indicator uses standard calculations as INPUT MECHANISMS feeding a completely original processing engine whose output cannot be replicated by any combination of existing tools. → Pivots = Detection mechanism only (identifies where reactions occur) → ATR = Scaling parameter only (normalizes distances across any asset) → Volume = Weighting modifier only (amplifies high-conviction reactions) → Heat Accumulation + Decay = ORIGINAL (no existing indicator does this) → Dynamic Level Lifecycle = ORIGINAL (birth, reinforce, decay, death) → Behavior Detection at Levels = ORIGINAL (classifies interaction patterns) No component is displayed independently. Everything feeds the central price memory concept. --- HOW TO READ THE ZONES ZONE COLORS (Dark Theme - default): → Purple/Blue tones = Low heat, Developing level (fewer reactions) → Red tones = Medium heat, Active or Strong level → Orange/Yellow/Gold tones = High heat, Dominant level (many confirmed reactions) ZONE COLORS (Light Theme): → Gray/Steel tones = Low heat → Red/Dark Red tones = Medium to high heat ZONE COLORS (Classic S/R Theme): → Green = Level currently acting as support (price above the zone) → Red = Level currently acting as resistance (price below the zone) ZONE THICKNESS: Zones expand slightly as heat increases and pulse larger when price approaches (proximity effect). The glow effect adds a soft outer halo that intensifies on high-heat levels near current price, providing immediate visual emphasis on the most important nearby zones. ZONE LIFESPAN: Each zone extends from its birth bar to a configurable number of bars into the future (default 15). This visual extension is purely for display - it helps identify where zones project ahead of price. Older zones with maintained heat indicate structural levels where the market has shown persistent memory. --- HOW TO READ THE LABELS Each visible zone displays a label with key information. The label format depends on the selected Label Mode. When behavior is detected, it is appended to the end of the label. MINIMAL MODE EXAMPLE: "STR 5 2.3x SEA REJ↑" → STR = Classification (Strong) → 5 = Hit count (5 confirmed reactions) → 2.3x = Relative volume (2.3 times average per reaction) → SEA = Age (Seasoned - 50 to 200 bars old) → REJ↑ = Current behavior (Bullish Rejection detected) STANDARD MODE EXAMPLE: "Strong | 5 hits | 2.3x | SEA | Rejection ↑" → Full classification name → Hit count with label → Relative volume multiplier → Age abbreviation → Full behavior name with direction DETAILED MODE EXAMPLE: "Strong | Resistance | 5 | 2.3x | 1.2345 | Seasoned | Sweep ↓" → Classification → Current support/resistance status → Hit count → Relative volume → Exact price → Full age name → Full behavior name LARGE MODE: Same information as Standard but rendered in larger text for visibility. When no behavior is currently detected, the behavior portion is simply omitted from the label. CLASSIFICATION TIERS: → Developing = Heat below 40% of max OR fewer than 3 hits → Active = Heat above 40% AND 3 or more hits → Strong = Heat above 60% AND 4 or more hits → Dominant = Heat above 80% AND 5 or more hits AGE CATEGORIES: → Fresh (NEW) = Less than 50 bars since first detection → Seasoned (SEA) = Between 50 and 200 bars old → Veteran (VET) = More than 200 bars old A Veteran level with high heat indicates deep structural significance - a price where the market has reacted repeatedly over an extended period and continues to hold relevance. RELATIVE VOLUME EXPLAINED: The volume shown is NOT raw volume. It is a normalized multiplier showing how much volume reactions attracted compared to the average bar: → 1.0x = Average volume at reactions → 2.0x or higher = Above-average conviction behind reactions → Below 0.5x = Below-average conviction → "-" = Volume data unavailable for this asset Volume is calculated using attributed notional value: only the fraction of bar volume proportional to the zone width is counted, preventing large-range bars from inflating readings. --- HOW TO READ THE DASHBOARD The dashboard provides a ranked summary of all active memory levels. It appears as a table overlay on the chart (position configurable). COLUMN-BY-COLUMN: # → Rank by heat intensity. An asterisk (*) marks the highest-heat level. Numbers rank the rest. PRICE → The exact price of the memory level, formatted to the asset's tick precision. This is the weighted-average price across all reactions at this level. CLASS → Classification tier (Developing, Active, Strong, Dominant). In Classic S/R theme, a suffix "S" (Support) or "R" (Resistance) is appended based on whether price is above or below the level. HEAT → Visual heat bar using 8 segments. → "||||||||" = Maximum heat (hottest level) → "||||...." = Moderate heat → "|......." = Low heat (may decay out soon) HITS → Total number of confirmed reactions at this level. This includes both pivot-confirmed reactions and qualified wick rejections. RVOL → Relative volume multiplier averaged across all reactions at this level. Higher values indicate stronger volume conviction behind the reactions that built this level. STATUS → A dynamic field showing one of three things: → Behavior pattern name if currently detected (e.g., "REJ↑", "SWP↓", "BRK↑") → "At level" if price is within 0.15% of the zone (highlighted in green) → Distance as percentage if price is away (e.g., "1.25% above") AGE → How long the level has existed (NEW, SEA, VET). FOOTER → Shows total memory levels being tracked, how many are currently visible, and the current decay rate setting. --- BEHAVIOR DETECTION When price approaches a memory zone, the indicator analyzes real-time price action to classify how the market is interacting with that level. The detected behavior is displayed as part of the zone label and in the dashboard STATUS column. Behaviors are checked in priority order. Only the highest-priority match is displayed. BREAK (Highest Priority): → Price opens on one side of the zone and closes decisively on the other → Requires strong body (more than 50% of candle range) → Close direction must match candle direction (bullish close for Break ↑) → Indicates the level has failed and may flip from support to resistance or vice versa → Once a Break is detected, the level is marked internally so future Retest detection becomes possible SWEEP: → Price extends significantly beyond the zone (1.5x zone height past the edge) then reverses → The extended wick must be larger than the body and more than 35% of total range → Close must be back near or inside the zone → This pattern often represents a liquidity grab - price pushes through to trigger stops then reverses REJECTION: → A prominent wick touches or enters the zone, and the body closes away → Wick must exceed 45% of the candle's total range → Body must have meaningful size (more than 25% of range) confirming conviction → Indicates the level is actively defending - buyers or sellers are stepping in RETEST: → Price returns to a level that was previously broken → Requires all lookback bars to have been on one side (away from zone) → Current bar must touch the zone → This is the classic "support becomes resistance" or "resistance becomes support" confirmation ABSORPTION (Lowest Priority): → Multiple consecutive bars with bodies inside the zone → Average body size is small relative to average range (less than 45%) → Indicates accumulation or distribution is occurring within the zone → Often precedes significant directional moves Behaviors persist in the label until a new behavior is detected. When price moves away from the zone, the last detected behavior remains visible, giving context about the most recent significant interaction. --- RECOMMENDED TIMEFRAMES AND SETTINGS SCALPING (1-minute to 15-minute charts): → Pivot Sensitivity: 2 to 4 → Decay Rate: 0.980 to 0.985 (faster fade for fast markets) → Min Hits: 2 → Focus on Fresh and Seasoned levels DAY TRADING (15-minute to 1-hour charts): → Pivot Sensitivity: 5 to 8 → Decay Rate: 0.990 to 0.992 (default range) → Min Hits: 2 to 3 → Balanced mix of age categories SWING TRADING (4-hour to daily charts): → Pivot Sensitivity: 10 to 15 → Decay Rate: 0.994 to 0.996 (slower fade) → Min Hits: 3 → Focus on Seasoned and Veteran levels POSITION TRADING (daily to weekly charts): → Pivot Sensitivity: 15 to 25 → Decay Rate: 0.997 to 0.999 (very slow fade) → Min Hits: 3 to 4 → Focus on Veteran levels with high heat GENERAL TIPS: → Higher timeframes benefit from increased Pivot Sensitivity → Volatile assets benefit from increased Merge Distance → For cleaner charts, increase Min Hits to Display → For more context, increase Max Memory Slots and Show Top N Levels --- PRACTICAL EXAMPLES EXAMPLE 1 - IDENTIFYING HIGH-PROBABILITY REACTION ZONES: A Dominant-classified zone (gold/yellow) showing 7 or more hits with Veteran age tells you this is a deeply embedded structural level. The market has reacted here many times over hundreds of bars and the level continues to maintain high heat. When price approaches this zone, the probability of a meaningful reaction is elevated compared to a Developing zone with 2 hits. EXAMPLE 2 - CONFIRMING A BREAKOUT: Price approaches a Strong resistance zone. The label updates to show "Break ↑" as price closes decisively above. The dashboard STATUS column changes from "0.5% below" to "BRK↑". If price later returns to this zone and the label shows "Retest ↑", this confirms the classic resistance-to-support flip pattern. The zone's wasBroken flag ensures Retest detection only activates after a confirmed Break. EXAMPLE 3 - SPOTTING LIQUIDITY SWEEPS: A high-heat zone sits above price. Price spikes through the zone with a long upper wick but closes back inside or below. The label displays "Sweep ↓" indicating a potential stop-hunt pattern. The wick exceeded 1.5 times the zone height beyond its edge and the upper wick dominated the candle's body - both requirements for Sweep classification. EXAMPLE 4 - READING VOLUME CONVICTION: Two zones appear near current price. Zone A shows "2.8x" relative volume while Zone B shows "0.6x". The reactions that built Zone A attracted nearly 3 times the average bar volume, suggesting strong institutional interest. Zone B's reactions occurred on below-average volume, suggesting less conviction. This context helps prioritize which zone is more likely to produce a meaningful reaction. EXAMPLE 5 - USING LEVEL AGE FOR CONTEXT: A Veteran level (more than 200 bars old) that still maintains high heat has survived hundreds of decay cycles. Each cycle multiplies its heat by 0.992 (default). After 200 bars of decay without any new reactions, heat would fall to roughly 20% of its peak. For a Veteran level to remain Dominant, it must have received consistent reinforcement over time - indicating genuine structural significance rather than a one-time event. --- Chart Example 1. Price on the S&P 500 E-mini Futures 15-minute chart is consolidating within a tight range between two heavily-tested Veteran zones, with the gold Dominant level acting as a persistent floor and an orange 22-hit Veteran zone overhead cycling through live behaviors as price repeatedly tests it from below. A structured ladder of purple Developing and red Active zones extends well below current price, with a Retest ↓ pattern visible at a mid-range level indicating a previously broken area is now being revisited from above. The dashboard confirms 17 memory levels tracked with 8 visible, the top-ranked Dominant zone holding a full heat bar and Break ↑ in its STATUS column throughout the session. 2. Price on the Nifty 50 Index 5-minute chart surged strongly through a cluster of high-heat gold zones during the session, reaching a peak at a thin Developing resistance level before pulling back sharply into a contested area between a Dominant zone and a Strong zone sitting just below it. The upper region shows two gold/yellow zones in close proximity - a Dominant and a Strong, both with Sweep behaviors active in their labels, indicating a liquidity grab above followed by a sharp reversal back into the zone cluster. The dashboard shows two Dominant-classified levels in the top two ranks, with a rich mix of Veteran and Seasoned ages confirming this price area carries deep structural memory. --- SETTINGS REFERENCE CORE SETTINGS: → Pivot Sensitivity - Bars on each side to confirm a swing. Lower = more sensitive, more levels. → Merge Distance - How close two reactions must be (in ATR multiples) to merge into one level. → ATR Period - Period for volatility normalization (default 14). MEMORY SETTINGS: → Decay Rate - Per-bar multiplier for heat decay. 0.992 = balanced default. → Heat Per Reaction - Base heat added per confirmed reaction. Modified by volume weighting. → Death Threshold - Minimum heat to survive. Below this, the level is removed. → Max Memory Slots - Maximum simultaneous levels tracked (default 20). → Min Hits to Display - Reactions required before a zone becomes visible (default 2). → Show Top N Levels - Maximum zones rendered on chart (default 8). DETECTION SETTINGS: → Wick Rejections - Enable wick-based reaction detection (adds heat at half rate of pivots). → Min Wick Ratio - Required wick percentage for wick reactions (default 55%). → Volume-Weighted Heat - Weight reactions by relative volume. → Behavior Detection - Enable real-time pattern classification at zones. → Behavior Lookback - Bars analyzed for behavior patterns (default 3). APPEARANCE SETTINGS: → Color Theme - Dark (purple to gold gradient), Light (gray to red), Classic S/R (green/red). → Zone Thickness - Visual height of zones as ATR fraction. → Glow Effect - Soft outer halo that intensifies near price. → Proximity Radius - Distance at which proximity effects activate. LABEL SETTINGS: → Show Zone Labels - Toggle zone information labels. → Label Mode - Information density (Minimal, Standard, Detailed, Large). → Show Hit Count - Include reaction count in labels. → Show Relative Volume - Include volume multiplier in labels. → Reaction Dots - Show dots at exact reaction prices (off by default for chart clarity). DASHBOARD SETTINGS: → Show Dashboard - Toggle the summary table. → Position - Screen position (8 options). → Text Size - Font size (Tiny, Small, Normal). → Rows - Number of levels shown in dashboard (default 5). --- ALERTS Three alert conditions are available: "Price entered hot zone" - Triggers when price enters a high-heat zone with 3 or more hits and heat above 50% of maximum. Useful for monitoring approaches to significant levels. "New behavior detected" - Triggers when a new behavior pattern (Rejection, Sweep, Break, Retest, Absorption) is classified at any visible level. Useful for real-time event notification. "New reaction" - Triggers when a new pivot is confirmed. Useful for tracking all reaction events across all levels. All alerts describe observed events. They do not predict future price movement or generate buy/sell signals. --- IMPORTANT NOTES RETROACTIVE ANCHORING: Pivot-based levels are confirmed after the Pivot Sensitivity number of bars have passed. The level is drawn at the true swing bar but only becomes known after confirmation. This is standard pivot behavior used across all pivot-based indicators and does not constitute future data usage. VOLUME DATA AVAILABILITY: Some assets, particularly certain forex pairs, may not report volume data. When volume is unavailable, relative volume displays show "-" and volume weighting is automatically disabled. The indicator functions fully without volume data. EARLY CHART BEHAVIOR: Zones and behavior labels may be sparse early in chart history. The indicator needs sufficient bars to detect pivots, accumulate heat, and meet the minimum hit count. Allow at least 100 bars for the system to populate meaningfully. PERFORMANCE: Reaction dots (when enabled) are only rendered within the most recent 500 bars to maintain chart performance. All memory calculations remain unaffected regardless of dot visibility. --- DISCLAIMER This indicator is provided for educational and analytical purposes only. It visualizes historical price reaction zones and does not predict future price movement, generate buy/sell signals, or constitute financial advice. Past reactions at specific price levels do not guarantee future behavior. Market conditions change and levels that held previously may fail in the future. Always conduct your own analysis, use proper risk management, and never risk more than you can afford to lose. The author assumes no liability for any trading decisions made using this tool. Trading involves significant risk of loss. Use this indicator as one component of a comprehensive trading approach, not as a standalone decision-making system. --- BullByte
Indicador Pine Script®
por BullByte
2
AG Pro Level Survival Map [AGPro Series]AG Pro Level Survival Map OVERVIEW AG Pro Level Survival Map is a visual framework for evaluating how support and resistance levels behave after repeated interactions. Instead of trying to predict reversals, this script focuses on level durability. It tracks whether a level continues to hold, becomes fragile, or starts to erode as price tests it over time. WHAT IT DOES The script builds candidate levels from pivot structure and then monitors how price behaves around those levels. Each active level is scored using repeated-test behavior, close respect, penetration damage, and reaction quality inside an ATR-based interaction zone. The result is a Survival score that helps users compare nearby levels in a more structured way. UNIQUE EDGE This script is designed to answer a specific question: how well is an existing level still holding after multiple interactions? It does not try to be a full decision engine, a market regime model, or a buy/sell system. Its purpose is narrower and more transparent: to visualize the durability of support and resistance levels using behavior-based scoring. METHODOLOGY - Candidate levels are derived from pivot highs and pivot lows. - Each level is monitored inside an ATR-based interaction zone. - The default Survival score combines four components: Close Respect Penetration Damage Reaction Quality Test Fatigue - If price closes beyond a level repeatedly, the script can confirm a role flip and reclassify the level. - Labels display the score of the level, not the number of tests. HOW TO READ IT - Higher Survival scores suggest that a level has shown stronger durability based on recent interactions. - Lower scores suggest that a level has been weakened by repeated tests, deeper penetration, or less stable close behavior. - The panel displays the current focus level, its score, its test count, and a simple damage state. - Label values represent the level score, not test frequency. SIGNALS AND ALERTS This version is a visual analysis tool. It is not designed as a standalone entry engine, exit engine, or probability model. No alert conditions are included in this version. KEY INPUTS - Pivot Left Bars / Pivot Right Bars - Max Active Levels - Level Merge Distance (ATR) - Interaction Zone (ATR) - Score Weights - Flip Confirm Closes - Panel Position / Panel Theme - Label Size / Base Line Width LIMITATIONS AND TRANSPARENCY The Survival score is a behavior-based durability estimate, not a validated probability forecast. It is intended to help users compare levels visually and structurally, not to guarantee reversals or future performance. Like any chart tool, its output depends on market conditions, volatility, and the selected settings. This script should be used as contextual analysis, not as a complete trading plan on its own. RISK DISCLOSURE This script is for chart analysis and educational use only. It does not provide financial advice, investment advice, or guaranteed outcomes. Users should apply their own risk management and independent judgment before making trading decisions.
Indicador Pine Script®
por AGProLabs
1
ORB + Overnight Horizontal LevelsThis indicator plots the key price levels I use for intraday futures trading. It automatically calculates the 30-minute Opening Range (ORB) from the regular market open (9:30–10:00) and displays the ORB High and ORB Low as horizontal levels that extend through the session. The script also tracks the Overnight High and Overnight Low from the extended session leading into the market open. These levels help identify important liquidity zones and areas where the market may react during the trading day. I personally use these levels together with a manually placed Fibonacci retracement tool. Depending on which level is stronger or gets taken first (ORB or Overnight), I anchor my Fibonacci tool to measure potential retracements and continuation moves. The goal of this indicator is to keep the chart clean while highlighting the most important intraday reference levels. Features • Automatic 30-minute Opening Range levels • Overnight High and Overnight Low detection • Horizontal levels that extend across the trading session • Minimal visual clutter for clean charting • Designed to be used alongside manual Fibonacci analysis
Indicador Pine Script®
por jeangie_ortiz
AG Pro Break-Retest QualityAG Pro Break-Retest Quality AG Pro Break-Retest Quality is a rules-based indicator designed to evaluate the first retest that occurs after a confirmed horizontal structure break. Many tools can mark a breakout. Fewer help traders judge whether the first pullback after that break is constructive, weak, or low quality. This script focuses on that specific task by grading the first post-break retest through a compact structure-acceptance model. What this script does - Detects confirmed horizontal structure breaks using swing-based pivot levels - Waits for the first retest after the break - Scores that retest using reclaim behavior, rejection quality, retest depth, response speed, volatility cleanliness, and optional volume context - Assigns a simple grade: - A = Strong - B = Valid - C = Weak - F = Failed / Low quality How to read it - Break lines mark the structural level that was broken - Retest labels appear when the first retest is detected and graded - Higher grades suggest cleaner post-break acceptance - Lower grades suggest weaker or less efficient retests How the scoring works The retest score is based on a rules-driven model that evaluates: - reclaim strength - candle rejection quality - retest depth control - speed of response after the break - volatility cleanliness - optional volume context This script is not built to predict every continuation move. Its purpose is to help users evaluate the structural quality of the first retest after a confirmed break. Alerts - Structure Break Detected - First Retest Detected - High-Quality Retest Confirmed Design notes The default settings are intentionally kept compact and chart-friendly. The script aims to preserve readability by limiting historical objects on the chart and emphasizing clearer retest grading rather than heavy dashboard-style output. Limitations - This script evaluates only the first retest after a confirmed break - It is based on swing-derived horizontal structure - It does not model broader market context, higher-timeframe bias, or full trade management - Low-liquidity and highly volatile environments may reduce signal quality Important This indicator is not a strategy, not a profit guarantee, and not a substitute for confirmation, context, or risk management. It is a structure-quality tool intended to support discretionary chart reading.
Indicador Pine Script®
por AGProLabs
1
QML FTB with Quality Score [Malibu]QML FTB with Quality Score Overview QML FTB with Quality Score is an open-source market structure indicator designed to detect Quasimodo (QML) reversal formations and highlight potential First Touch Back (FTB) reaction levels after a confirmed break of structure. The script is built to be selective rather than frequent. Instead of displaying every possible QML pattern, it filters structure through multiple confluence factors and ranks each setup with a normalized Quality Score. The goal is to help traders focus on cleaner and more meaningful reaction zones rather than treating all reversal structures as equal. What this indicator does This indicator scans price action for bullish and bearish Quasimodo formations, confirms the related market structure break, and projects the corresponding left-shoulder area as a potential reaction level. In practical terms, it is a structure-based reversal and reaction-zone tool that can assist with: - market structure shifts - support and resistance transitions - break-of-structure confirmation - liquidity-driven reversal analysis - filtered first-touch retest opportunities Why this indicator can be useful Raw QML detection can become noisy because many structures may appear valid at first glance, but not all of them carry the same quality. This script attempts to solve that problem by combining pattern detection with context-based filtering. Instead of only drawing a shape, it asks additional questions: - Was the structure break strong enough? - Is momentum aligned? - Is there RSI divergence? - Is there Fair Value Gap confluence? - Was liquidity swept before the reversal? - Is the level still fresh and untouched? That layered process is what makes the script more selective and more practical for traders who prefer structured filtering over raw pattern frequency. How it works The script uses a ZigZag-style swing engine to track meaningful highs and lows in price structure. Based on those swings, it evaluates whether the sequence forms a valid Quasimodo transition. Bullish structure: - price forms a lower low - price then breaks the prior key high - the previous shoulder area becomes the projected bullish QML / FTB level Bearish structure: - price forms a higher high - price then breaks the prior key low - the previous shoulder area becomes the projected bearish QML / FTB level Once the structure is identified, the setup can be refined through optional confluence filters. The script then calculates a Quality Score and prints the confirmed level only after bar close. Filtering logic 1) Body Break Filter This filter requires the break of structure to happen with candle body confirmation rather than wick-only penetration. Its purpose is to reduce weak or cosmetic breaks and focus on clearer structural shifts. 2) Momentum Filter (EMA) This filter checks whether the setup is aligned with the broader directional bias using an EMA-based trend condition. Bullish setups are generally stronger when price is positioned in bullish momentum context, while bearish setups are generally stronger when price is positioned in bearish momentum context. 3) RSI Divergence Filter This filter looks for momentum exhaustion. For bullish setups, it checks whether price pushes lower while RSI fails to confirm that weakness. For bearish setups, it checks the opposite. This is the strictest filter and is meant to isolate higher-selectivity reversal conditions. 4) FVG Confluence This filter checks whether the projected QML level aligns with a Fair Value Gap area. The aim is to add imbalance context and identify zones where inefficient price delivery may support a reaction. 5) Liquidity Sweep Filter This filter checks whether the head of the QML structure swept prior liquidity before the reversal. It is meant to capture structural traps and stop-hunt style behavior before a turn. 6) Freshness (FTB) Filter This filter removes levels that have already been touched or used. Its goal is to keep the focus on first-touch reaction opportunities rather than repeatedly tested zones. Quality Score logic The script ranks each setup using a normalized Quality Score. Current score components: - RSI Divergence: +30 - FVG Confluence: +25 - Liquidity Sweep: +25 - EMA Momentum Alignment: +20 The total score is normalized according to the filters that are currently active, then displayed as a percentage. This allows the indicator to remain usable even when traders prefer a lighter or stricter filter stack. What it plots on the chart The indicator can display: - a thick horizontal QML entry level - optional dashed ZigZag structure lines - bullish and bearish QML labels - a Quality Score percentage - an additional symbol when RSI divergence is present The visual design is intentionally simple so the underlying structure remains readable on chart. Inputs ZigZag Sensitivity (default: 13) Controls how sensitive the swing detection is. - Lower values produce more swing points and more signals, but also more noise. - Higher values reduce signal frequency and generally improve selectivity, but can introduce more lag. Body Break Filter (default: true) Requires structure breaks to happen with body confirmation. - Usually lowers signal count - Usually improves reliability - Best kept enabled in noisier conditions Momentum Filter / EMA Filter (default: true) Restricts setups to those aligned with EMA direction. - Reduces counter-trend signals - Makes the script more selective - Generally improves quality in directional markets EMA Period (default: 50) Defines the trend filter length. - Lower values make the filter more responsive - Higher values make it smoother and slower RSI Divergence Filter (default: false) Allows only setups that also show RSI divergence. - This is the strictest filter - Strongly reduces signal frequency - Best used when only higher-selectivity reversal setups are desired FVG Confluence (default: true) Requires the level to align with Fair Value Gap context. - Filters out some otherwise valid patterns - Can improve contextual quality in imbalanced markets Liquidity Sweep Filter (default: true) Requires evidence of liquidity interaction at the head of the structure. - Helps isolate trap-like reversal conditions - Adds selectivity around structural extremes Freshness (FTB) Filter (default: true) Rejects previously tested levels. - Keeps the focus on first-touch setups - Useful for traders who prefer untouched zones Line Length (bars) (default: 25) Controls how far the projected QML level is extended to the right. - This is a visual setting - It does not change the signal logic Which settings matter most The three most important inputs are: - ZigZag Sensitivity - Body Break Filter - Freshness (FTB) Filter These settings have the biggest impact on how noisy, selective, and practical the final output becomes. Suggested usage styles Balanced / default use For most users, the default settings are the best place to start. They are designed to provide a practical balance between signal frequency and selectivity. More aggressive use For traders who want more setups: - reduce ZigZag Sensitivity toward 8–10 - consider disabling EMA Filter - consider disabling FVG Confluence This can increase opportunity count, but it also increases noise and false positives. More conservative use For traders who want fewer but stronger setups: - keep Body Break Filter enabled - keep Freshness Filter enabled - enable RSI Divergence Filter - focus more on higher-score setups, especially 80%+ This creates a much stricter selection process. Timeframe behavior This indicator is generally better suited to M15, H1, H4, and Daily charts. Suggested sensitivity behavior: - M15 to H1: 13 to 21 is usually more stable - H4 to Daily: 8 to 13 is often more responsive without becoming overly delayed Timeframe notes: - On M1 and M5, low sensitivity settings can produce excessive noise and weak structure breaks. - In lower timeframes, Body Break confirmation becomes much more important. - On higher timeframes, very high sensitivity values can reduce opportunities too much and may introduce unnecessary delay. Market conditions The script tends to behave more cleanly in liquid markets where structure is clearer, such as: - crypto majors - forex majors - index products - other actively traded instruments In very thin or highly irregular markets, the structural quality of setups may degrade. Why this indicator may be preferred over simpler alternatives This script is not intended to be just a basic ZigZag visualizer or a simple Quasimodo marker. Its main differentiator is the way it combines multiple layers of structure validation into one ranked workflow: - structure recognition - body-based break confirmation - momentum alignment - divergence context - FVG context - liquidity sweep context - freshness filtering - normalized quality scoring Instead of showing every possible shape, it tries to separate weaker structural patterns from more meaningful ones. What makes this script different The individual concepts used here are known market-structure concepts, but the practical value of the script comes from how they are combined. Its distinguishing contribution is the orchestration layer: - the Quality Score model - the multi-filter ranking process - the first-touch freshness workflow - the compact integration of structure, momentum, liquidity, and imbalance into one decision-support tool In other words, the script is built on generic market-structure concepts, but its filtering and ranking workflow is specific to this implementation. How to use it in practice A common workflow is: - wait for a level to be confirmed - monitor the first return into that level - use the score and filter context to judge whether the setup deserves attention - avoid treating every printed level as a guaranteed reversal Many users will find it most useful as a structured decision-support tool rather than as a standalone entry engine. Technical behavior - Signals are confirmed on bar close. - Confirmed levels remain fixed after printing. - The script does not rely on request.security() in the described signal logic. - No lookahead-based behavior is used in the signal confirmation process. - The latest developing pivot may evolve while structure is still forming, but confirmed outputs are only printed after confirmation. Alerts The script includes on-close alerts when a new bullish or bearish QML level is confirmed. Alert messages can include contextual details such as: - direction - Quality Score - divergence state Limitations This script is a technical analysis tool, not a prediction engine. Please keep in mind: - sideways conditions can generate weaker structural setups - very low timeframes can create more noise and false breaks - news-driven volatility can invalidate technical levels quickly - very low ZigZag Sensitivity settings can make ordinary pullbacks look more important than they really are - no indicator can guarantee that price will react from every marked level For that reason, the script is best used as a structured analysis tool rather than as a certainty model.
Indicador Pine Script®
por malibuuu
2
Fractal Retracement [Jamallo](2025) Intro FRAMA is a moving average that adapts its speed based on fractal geometry — specifically, the fractal dimension (D) of recent price action. When price is trending strongly (low fractal dimension), it moves fast. When price is choppy/ranging (high fractal dimension), it slows down. This makes it far more responsive than a standard EMA or SMA. Breakdown: The indicator wraps this with a continuous range logic layer: the filtered line = k only moves if price breaks beyond the FRAMA ± ATR-based range, creating a stepped/ratcheting effect that filters out noise. Two sets of bands are plotted around the filtered line, scaled by ATR multiplied by user-defined multipliers (tight at 0.5×, medium at 1.0×). They're smoothed with a short EMA to reduce jitter, and filled with gradient colors for visual clarity. Direction is simply determined by whether k is rising or falling, and colors everything green (uptrend) or pink/red (downtrend). END In short, it's a noise-filtered trend indicator useful for identifying trend direction, dynamic support/resistance , and gauging how far price has retraced from the trend baseline.
Indicador Pine Script®
por Jamallo22
MTF Key Levels: Previous Day/Week/Month/Year + Opens Multi-Timeframe Key Levels (Auto-Updating) This indicator plots important previous session and higher-timeframe levels that many traders watch for support, resistance, liquidity, and reaction points. All levels automatically update when a new period begins, so your chart always shows the most recent relevant levels without clutter. Levels Included Daily • Daily Open • Previous Day Open • Previous Day High • Previous Day Low • Previous Day Equilibrium (midpoint of high/low) Weekly • Week Open • Previous Week Open • Previous Week High • Previous Week Low • Previous Week Equilibrium Weekend • Previous Weekend High • Previous Weekend Low (Useful for crypto traders where weekend volatility often creates liquidity zones.) Higher Timeframes • Previous Month High • Previous Month Low • Previous Year High • Previous Year Low Features • Auto-updating levels – old levels are replaced as new sessions begin • Multi-timeframe context – see key daily, weekly, monthly, and yearly levels at once • Clean chart design – only the most recent levels are shown • Dashed level styling for clarity • Color-coded tags for quick identification • Automatic high-contrast label text for readability • Adjustable label distance so tags don’t overlap price How Traders Use These Levels These levels often act as: • Liquidity zones • Support / resistance • Mean reversion targets • Reaction areas for intraday trades • Bias confirmation when price reclaims or rejects key levels Many strategies incorporate previous highs/lows, opens, and equilibrium levels when analyzing market structure and momentum. Notes • Levels are based on your chart timeframe and timezone settings. • Works on any intraday timeframe. • Particularly useful for crypto and futures markets where higher-timeframe levels are frequently respected.
Indicador Pine Script®
por trader435543
Trade by Design - v1.0.0Trade by Design — NY 17:00 Session Levels (v1.0.0) Overview Trade by Design plots key reference levels derived from a New York–anchored trading day that resets at 17:00 America/New_York. The indicator is designed to make higher-quality context levels visible on any intraday chart by automatically drawing: Previous Week High/Low (HoW/LoW) Previous Trading Day High/Low (HoD/LoD) Current Day Running High/Low (iH/iL) with the current day’s range percentage These levels can be used as structured support/resistance references and as a framework for intraday planning. What the indicator draws 1) Previous Week Levels — HoW / LoW HoW (High of Week): highest price reached during the previous NY-anchored week LoW (Low of Week): lowest price reached during the previous NY-anchored week Week boundary: the week is treated as starting at Sunday 17:00 New York time, aligning the week definition with the same session reset concept used for daily levels. Why it matters: prior week extremes frequently act as decision points where price can reject, consolidate, or break and retest. 2) Previous Trading Day Levels — HoD / LoD HoD (High of Day): highest price reached during the prior trading day LoD (Low of Day): lowest price reached during the prior trading day Trading day boundary: 17:00 NY → 17:00 NY (America/New_York) Why it matters: prior day extremes are commonly used for liquidity, breakout, and mean-reversion context depending on market conditions. 3) Current Day Running Levels — iH / iL iH (Initial/Current High): running high since the selected start time iL (Initial/Current Low): running low since the selected start time The label displays the % range between iH and iL, helping you assess the day’s realized movement at a glance. Optional “Gap” handling (17:00–20:00 NY) You can choose where the iH/iL calculation begins: Include Gap (start at 17:00 NY): iH/iL tracks the entire NY trading day from the reset. Exclude Gap (start at 20:00 NY): iH/iL ignores the 17:00–20:00 window and begins at 20:00 NY. This option exists because some traders prefer measuring the day’s initial range from later liquidity conditions. Controls & Settings Visuals Independent colors for weekly, daily, and current-day levels Line width, line style (solid/dashed/dotted) Separate transparency for current vs historical lines Label size and label offset (in bars) to improve readability History Choose how many prior weeks to display (older weekly levels labeled sequentially) Toggle visibility for historical HoD/LoD and historical iH/iL Label convention Current: HoW / LoW, HoD / LoD, iH / iL (with % range) Historical: sequential suffixes are used to distinguish older levels (e.g., HoD2/LoD2, HoW2/LoW2, etc.) Practical ways to use the levels (examples) Support/Resistance map: treat HoW/LoW and HoD/LoD as structural boundaries for reactions and invalidations. Breakout context: a clean break and acceptance beyond HoD/LoD (or HoW/LoW) can signal continuation; failure to accept can signal range behavior. Volatility awareness: use the iH/iL % range to judge whether the day is expanding (trend-day potential) or compressing (range potential). Confluence: align these levels with your own confirmation tools (market structure, volume, orderflow, trend filters, etc.). Notes & limitations Results depend on the symbol’s session data and the chart timeframe; some markets have unique trading hours that may affect how highs/lows form. This indicator provides reference levels only and does not generate buy/sell signals. Always apply risk management. This is not financial advice. Version history v1.0.0 Stable release of NY 17:00 anchored levels Previous Week High/Low (HoW/LoW) Previous Trading Day High/Low (HoD/LoD) Current Day running High/Low (iH/iL) + range % Optional inclusion/exclusion of 17:00–20:00 NY window for iH/iL Historical rendering controls + styling options for production charting
Indicador Pine Script®
por smart_sdr78
Golden Ratio Levels: Static Range Anchor核心功能 本指标基于指定历史区间（可偏移）的最高点和最低点，在图表右侧绘制静态的黄金分割支撑/阻力位。所有数值仅在最后一根K线确定，永不重绘，信号稳定可靠。 特点与优势 ✅ 不重绘：只在图表最新K线计算一次，避免未来函数影响，适合交易决策。 ✅ 偏移周期：可跳过最近若干K线，剔除未完成K线或短期噪声，使区间更具代表性。 ✅ 视觉清晰：不同颜色和线型区分各分割位（23.6%、38.2%、50%、61.8%、80.9%），右侧标签显示百分比和精确价格。 ✅ 起点修正：垂直线和“起点”标签精确对齐计算区间的第一根K线，无视觉偏移。 ✅ 内存优化：自动清理旧图形，保持图表简洁。 参数说明 统计周期：用于寻找高点和低点的K线数量。 偏移周期：将计算窗口向后移动的K线数（从当前K线往前推）。 显示比例标签：控制右侧百分比标签的显隐。 适用场景 识别趋势中的回调支撑（上涨后回调至38.2%、50%、61.8%） 判断反弹阻力（下跌后反弹至上述位置） 结合K线形态、成交量或其他指标提高胜率 注意事项 本指标为静态工具，只在最新K线显示当前周期的分割线，切换K线或滚动历史时旧线不保留。 黄金分割位是概率性位置，需配合市场确认信号使用。 Core Function This indicator calculates static Fibonacci retracement levels based on the highest and lowest points of a user-defined historical range (with an optional offset). Values are anchored only on the last bar, ensuring no repainting for reliable signals. Features & Benefits ✅ No Repaint: Calculated once on the latest bar, eliminating future data bias. ✅ Offset Parameter: Skip recent bars to avoid incomplete candles or short-term noise. ✅ Clear Visualization: Distinct colors and line styles for each level (23.6%, 38.2%, 50%, 61.8%, 80.9%), with right-side labels showing percentages and exact prices. ✅ Accurate Start Point: The vertical dotted line and "Anchor Point" label exactly mark the first bar of the calculation window. ✅ Memory Efficient: Old drawings are automatically deleted to keep charts tidy. Input Parameters Lookback Period: Number of bars to search for high/low values. Offset Bars: Shift the calculation window backward from the current bar. Display Labels: Toggle percentage labels on/off. Use Cases Identify pullback supports in uptrends (38.2%, 50%, 61.8%) Spot rebound resistances in downtrends Combine with candlestick patterns, volume, or other indicators for higher accuracy Note This is a static tool; levels are shown only for the current period on the last bar. Historical periods are not retained when scrolling. Fibonacci levels are probabilistic—always confirm with market context.
Indicador Pine Script®
por william_wq
2