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Auto Pattern Detector Targets [MarkitTick]💡 Operates as an advanced geometric mapping engine designed to automatically identify structural equilibrium states and dynamically project precise L-Pool extraction targets. This tool systematically scans raw time-series data to detect complex, multi-node fractal formations, mathematically verifying their symmetry and proportional validity before a kinetic breach occurs. By unifying dimensional pattern recognition with a strict quantitative filtration system, it provides traders with an objective, continuous visual feed of active market structures, fully calculated risk voids, and mathematically derived extraction zones. ● ✨ Originality and Utility Standard geometrical analysis often falls victim to subjective interpretation and manual drawing errors, rendering statistical backtesting and real-time execution highly inconsistent. This system revolutionizes the approach by abstracting classical chart formations into an Algorithmic Liquidity Matrix. Instead of relying on approximate trendlines, it employs precise Void Node anchoring, measuring the exact percentage tolerances between swing vectors. The utility of this engine lies in its ability to actively discard false-positive structures by running them through a multi-layered verification process that accounts for standard deviation thresholds, volume kinetic spikes, and net-friction Risk:Reward parameters. It does not merely draw shapes; it engineers a complete, actionable mathematical hypothesis for every identified structure, complete with slippage and commission discounting. ● 🔬 Methodology and Concepts • Algorithmic Void Node Collection The core detection protocol does not use standard zigzag logic. Instead, it deploys an abstracted lookback and look-forward matrix to isolate Void Anchors. These anchors are stored in persistent memory arrays, allowing the engine to compare historical coordinate points against current price action to find symmetrical congruence. • Geometric Void Projection Once the requisite Void Anchors are collected, the system attempts to fit them into predefined topological models (such as bilateral compressions, horizontal equilibria, or multi-crest voids). It calculates the median delta between these anchors. If the variance falls within the user-defined Symmetry Tolerance, the structure is flagged as a "pending" sequence. • Kinetic Breach Validation A structure is only formalized when a Kinetic Breach is confirmed. This requires the price action to cleanly sever the boundary vector of the established Void. To prevent mapping noise, this breach can be strictly gated by checking if the moving average of volume has spiked by a specific multiplier, and if the breach distance exceeds an ATR-derived boundary. • Friction-Adjusted R:R Filtration To ensure that only mathematically viable structures are presented, the engine calculates the distance from the entry coordinate to the L-Pool Extraction target and the Risk Void. It then subtracts predefined slippage ticks and bidirectional percentage commissions from the gross reward. If this normalized Risk:Reward ratio falls below the minimum threshold, the sequence is silently invalidated and purged from the display. ● 🎨 Visual Guide • Sliced Geometric Fills Shaded Polygons: When a structure is detected, the area between the upper and lower boundary vectors is filled with a translucent color, mapping the precise domain of the Void. Bullish Fills: By default, structures projecting an upward L-Pool extraction are shaded with a specific bullish tone. Bearish Fills: Structures projecting a downward extraction are shaded with a specific bearish tone. • Projection Vectors Entry Line (Yellowish): A dashed boundary indicating the exact price coordinate where the Kinetic Breach was validated. Target Line (Greenish): A dashed boundary indicating the projected L-Pool extraction zone, calculated via measuring the maximum depth of the active Void. Stop Line (Reddish): A dashed boundary denoting the Risk Void, typically placed beyond the opposite structural boundary or calculated as a percentage of the target distance. • The Analytics Dashboard Pattern Bias: Displays the active geometric trajectory (Bullish or Bearish). Active Pattern: Outputs the specific topological classification of the current Void sequence. Vol Spike: A visual bar meter and percentage evaluating the current volume kinetics relative to the moving average, indicating the strength of the breach. R:R Quality: A dynamic gauge rating the mathematical viability of the projection after accounting for all execution friction. Pivot Depth: Evaluates the density of the collected Void Anchors feeding the current Algorithmic Liquidity Matrix. ● 📖 How to Use • Sequence Identification Allow the engine to operate without manual interference. When a new geometric Void is filled on the chart, visually inspect the projection vectors. The system has already filtered this sequence through the active tolerance parameters. • Validating the Kinetic Breach Do not front-run the Entry Line. The structure is mathematically confirmed only when the designated bar closes beyond the boundary (if strict closing is enabled) or pierces it with sufficient ATR momentum. • Dashboard Confluence Before executing any logic based on the mapped projection, consult the Analytics Dashboard. A high-quality sequence should ideally present a high Vol Spike percentage, confirming that the Kinetic Breach is supported by active market participation. Furthermore, ensure the R:R Quality gauge reflects a favorable asymmetry for your specific risk parameters. • Extraction and Risk Management The Target Line and Stop Line represent strict invalidation and extraction coordinates. If the price returns and breaches the Stop Line, the topological premise of the Void is mathematically nullified. ● ⚙️ Inputs and Settings • General Tolerances Symmetry Tolerance (%): The maximum allowed variance between Void Anchors to still be considered part of a uniform structure. Level Tolerance (%): The strictness applied to horizontal alignment for flat-boundary formations. Min Pattern Size: Gates out micro-structures by requiring the Void depth to exceed a specific ATR multiplier or raw price percentage. • Structural Toggles Allows the user to independently activate or disable the detection of specific topologies (e.g., bilateral compressions vs. horizontal channels). • Void Anchor Parameters Lookback Left/Right: The strict bar-count threshold used by the algorithm to confirm an isolated Void Anchor. Max Pivots to Remember: Controls the depth of the historical array memory, optimizing engine performance. • Filtration & Execution Costs Require Candle Close/Body Breakout: Enforces strict logic where only the close or full body of the bar can trigger a Kinetic Breach. Volume Spike Multiplier: The threshold of volume required relative to the SMA to validate the breach. Min Risk:Reward Ratio: The baseline mathematical threshold for a valid setup. Slippage (Ticks) & Commission (%): The raw friction metrics applied dynamically to the R:R calculation to ensure realistic projections. ● 🔍 Deconstruction of the Underlying Scientific and Academic Framework The foundation of this system rests on the hypothesis of structural equilibrium within financial time-series data. Markets continuously cycle between phases of linear displacement and volumetric consolidation. During consolidation, price action forms distinct geometric boundaries driven by the algorithmic rebalancing of supply and demand. By quantifying these boundaries, we can treat the chart not as a random walk, but as a topological map of active liquidity matrices. The engine utilizes an advanced array-based memory structure to index local extrema (Void Anchors). To prevent the algorithm from fitting noise into false geometries, it applies strict variance thresholds. This is scientifically akin to minimizing the residual sum of squares in regression models; if the coordinate points of the extrema deviate beyond the acceptable Z-Score-inspired boundaries of symmetry, the hypothesis of a coherent structure is rejected. Upon the occurrence of a Kinetic Breach, the system applies standard deviation modifiers (Average True Range) to validate the momentum. A breach is only considered statistically significant if it occurs outside the normal distribution of localized volatility, essentially confirming a transition from equilibrium back into linear displacement. The volume moving average acts as a secondary confirmation factor, ensuring that the kinetic expansion is supported by a statistically anomalous influx of standard normal distribution participation. Finally, the target projection relies on the concept of measured topological depth. The maximum amplitude of the consolidated Void is mathematically transposed to the point of the Kinetic Breach. This reflects the theory of energy conservation in market dynamics: the kinetic energy released during a breakout is roughly proportional to the potential energy stored during the preceding consolidation. By actively integrating execution friction (slippage and commission) into the final coordinate calculations, the engine shifts from purely theoretical geometry to applied quantitative modeling, providing a highly realistic framework for continuous market analysis. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
אינדיקטור Pine Script®
מאת ‎MarkitTick‎
7
MACD Pullback & Divergence with Bollinger Bands and Pivot LevelsThis indicator combines MACD pullback analysis, MACD histogram divergence detection, Bollinger Band filtering, and pivot-based support/resistance validation into a single decision-support tool. The goal is to highlight bullish and bearish opportunities only when multiple technical conditions align. Features MACD pullback detection MACD zero-line confirmation Regular bullish divergence detection Hidden bullish divergence detection Regular bearish divergence detection Hidden bearish divergence detection Bollinger Band confirmation filter Pivot-based support and resistance filter Alert support for bullish and bearish signals Inputs MACD Settings Fast Length Slow Length Signal Length Pullback Lookback Divergence Settings Pivot Lookback Left Pivot Lookback Right Minimum Range Maximum Range Support Resistance Settings Enable Support/Resistance Filter Left Bars Right Bars Bollinger Band Settings Enable Bollinger Band Filter Length Standard Deviation Multiplier Alerts Available alerts: Bullish Signal Bearish Signal Regular Bullish Divergence Hidden Bullish Divergence Regular Bearish Divergence Hidden Bearish Divergence How It Works Bullish signals require: Positive MACD momentum MACD crossing above zero Recent bearish pullback crossover Recent bullish divergence Optional support confirmation Optional Bollinger Band confirmation Bearish signals require: Negative MACD momentum MACD crossing below zero Recent bullish pullback crossover Recent bearish divergence Optional resistance confirmation Optional Bollinger Band confirmation Limitations Divergence signals depend on confirmed pivots and therefore appear after confirmation. Support and resistance levels are based on pivots and may differ from manually drawn zones. Signals should be used as part of a broader analytical process. Notes This indicator is designed for chart analysis and market observation. Users should validate signals with their own methodology and risk management practices.
אינדיקטור Pine Script®
מאת ‎algo_aakash‎
Smart Gap & Support and Resistance Breakout [MarkitTick]💡 This technical analysis script provides a highly sophisticated framework for market structure mapping, gap categorization, and breakout validation. By tracking structural pivot points and combining them with algorithmic gap analysis, the indicator systematically identifies areas of significant price imbalance and evaluates their impact on subsequent price action. The tool dynamically maps historical and developing support and resistance levels across multiple timeframes, integrating volume analysis and time-decay functions to ensure only the most relevant structural levels remain active. Designed for robust technical evaluation, it utilizes a strict non-repainting architecture for its multi-timeframe data retrieval, ensuring historical integrity during retrospective analysis. ✨ Originality and Utility While many indicators plot basic support and resistance levels or highlight price gaps, this tool introduces a high degree of originality through its algorithmic synthesis and mashup methodology. The combination of structural pivot tracking and gap categorization is a deliberate and logical confluence. Gaps inherently represent sudden shifts in supply and demand, frequently acting as hidden support or resistance zones. By merging gap analysis with traditional pivot-based market structure, the script provides a unified view of market geometry. Furthermore, the script distinguishes itself by categorizing gaps dynamically into three distinct types: Breakaway, Runaway, and Exhaustion. Rather than treating all price voids equally, it applies contextual logic—such as trend maturity and volume confirmation—to evaluate the probabilistic nature of the gap. The utility is further enhanced by an advanced multi-timeframe engine that overlays macro structural levels onto the active chart without introducing lookahead bias, providing traders with a pristine, top-down analytical perspective within a single pane. 🔬 Methodology and Concepts ● Structural Pivot Detection The foundation of the script relies on identifying Swing Highs and Swing Lows. A Pivot High is established when a specific high price is preceded and followed by a defined number of lower highs. A Pivot Low is established when a specific low price is preceded and followed by a defined number of higher lows. These points act as the empirical anchors for drawing support and resistance lines. ● Gap Categorization Engine The script continuously scans for bullish and bearish price gaps (defined as a strict price void between the current low/high and the high/low of two bars prior, combined with directional candle confirmation). Once a gap exceeds the minimum size threshold, it is classified using the following methodology: Breakaway Gaps (BW): Identified if the gap's occurrence coincides with the breaking of the most recently established structural pivot level. This signifies a forceful escape from a prior consolidation or trend phase. Exhaustion Gaps (EX): Identified if the gap occurs after a prolonged trend duration (trend maturity) and is accompanied by a significant volume spike. This logic assumes that late-stage acceleration coupled with extreme volume often represents climatic buying or selling. Runaway Gaps (RW): Any valid gap that does not meet the strict criteria for Breakaway or Exhaustion is classified as Runaway, representing standard trend continuation. ● Non-Repainting Multi-Timeframe Integration To map higher timeframe (HTF) levels onto the lower timeframe (LTF) chart safely, the script employs a strict index-offset methodology. When fetching HTF pivot data, the script references the previous bar's calculated state while utilizing a lookahead parameter. This architectural design explicitly prevents future data leakage (lookahead bias), ensuring that historical backtesting and real-time execution behave identically. ● Breakout and Time-Decay Logic Support and resistance lines are evaluated for breakouts based on closing prices. A breakout is only considered valid if the closing price decisively crosses the level and, if volume confirmation is enabled, the breakout bar's volume exceeds the defined moving average threshold. To maintain a clean visual workspace, levels can be subjected to a time-decay function, removing them from the chart after a user-defined number of bars. 🎨 Visual Guide ● Support and Resistance Lines Green Lines: Represent active support levels derived from current timeframe pivot lows. Red Lines: Represent active resistance levels derived from current timeframe pivot highs. Thick Light Blue Lines: Highlight major support levels from the higher timeframe. Thick Orange Lines: Highlight major resistance levels from the higher timeframe. ● Market Structure Labels Red "HH" / "LH" Labels: Denote Higher Highs or Lower Highs at resistance pivots. Blue/Green "LL" / "HL" Labels: Denote Lower Lows or Higher Lows at support pivots. Purple "EH" / "EL" Labels: Indicate Equal Highs or Equal Lows. ● Gap Visualization Boxes Blue Boxes: Highlight Breakaway Gaps (BW). Orange Boxes: Highlight Runaway Gaps (RW). Red Boxes: Highlight Exhaustion Gaps (EX). Dotted Mid-Lines: Each gap box contains a dotted line calculating the exact mathematical midpoint of the gap, often acting as a highly reactive micro-level. ● Breakout Markers Green Upward Triangles (▲): Plotted below the price to indicate a confirmed breakout of a resistance level. The number indicates how many distinct resistance levels were broken on that bar. Red Downward Triangles (▼): Plotted above the price to indicate a confirmed breakdown of a support level. Cyan/Orange Triangles: Represent breakouts of higher timeframe (HTF) levels. 📖 How to Use ● Interpreting Gap Signals Breakaway Gaps: When a blue Breakaway gap forms, it suggests the initiation of a new directional phase. Traders typically monitor the borders of this gap to act as strong support or resistance upon any subsequent retests. Runaway Gaps: The appearance of an orange Runaway gap confirms underlying trend strength. The midpoint of these gaps (the dotted line) is often used to gauge short-term trend health. Exhaustion Gaps: A red Exhaustion gap serves as a cautionary signal. Because it indicates mature trend fatigue coupled with high volume, it suggests that the current directional momentum may be nearing a terminal phase or sharp retracement. ● Trading Support and Resistance Breakouts Structural Mapping: Use the dynamically drawn S/R lines to identify the boundaries of the current market range. Volume Confirmation: When the indicator plots a breakout triangle, ensure that it aligns with your broader directional bias. If the volume confirmation setting is active, the triangle inherently signifies that the breakout possessed above-average participation, increasing the mathematical probability of continuation. Multi-Timeframe Confluence: Pay special attention when current timeframe price action interacts with the thicker HTF lines. A breakout that fractures both a LTF and HTF resistance level simultaneously carries significantly more structural weight. ⚙️ Inputs and Settings ● Swing Logic Left Bars / Right Bars: Determines the number of bars required on either side of a candle to confirm a structural pivot. Higher values yield longer-term, more significant levels. Max Stored Levels: Controls how many historical S/R lines remain active on the chart to prevent visual clutter. Max Break Labels: Limits the number of historical breakout triangle markers displayed. ● Usability and Time Decay Multi-Timeframe: Allows overriding the base timeframe for calculations. Enable Time Decay: When activated, S/R levels that remain untested or unbroken will automatically expire and be removed from the chart. Decay Period (Bars): The specific threshold of bars after which an untested level is deleted. ● Higher Timeframe (HTF) Levels Enable HTF Levels: Toggles the calculation and plotting of macro S/R lines. HTF Timeframe: The target timeframe for macro structural analysis (e.g., Daily, Weekly). Hide Current TF When HTF Active: A visual filter to isolate only macro levels when desired. ● Algorithmic Filters and Analysis Volume Confirmation: When true, breakouts are only validated if the bar's volume exceeds a moving average. Min Gap Size (Points): Establishes a raw point threshold that a price void must exceed to be classified as a gap, filtering out negligible price skips. Volume Spike Multiplier: The factor by which current volume must exceed the average to trigger Exhaustion gap logic. Trend Maturity (Bars): The minimum number of bars a trend must have persisted from the last major pivot to allow for an Exhaustion gap classification. 🔍 Deconstruction of the Underlying Scientific and Academic Framework ● Auction Market Theory and Liquidity Voids The gap categorization matrix within this script is deeply rooted in Auction Market Theory (AMT). In AMT, price discovery is a continuous auction searching for liquidity. A gap represents a structural liquidity void—a pricing zone where no double-sided auction occurred due to extreme urgency from either buyers or sellers. The script's identification of Breakaway gaps mathematically isolates moments where this urgency successfully overcomes historical supply or demand nodes (the pivots). The dotted midpoint lines inside the gap boxes serve as theoretical "Fair Value" approximations for the void, representing the mean reversion target if the market attempts to repair the inefficient auction. ● Volume Spread Analysis (VSA) Integration The Exhaustion gap classification heavily relies on principles derived from Volume Spread Analysis. In VSA, volume represents the effort of market participants, while price spread represents the result. The script mathematically quantifies an anomaly: when an extended trend (measured by the Trend Maturity parameter) produces a sudden gap on extreme volume (measured by the Volume Spike Multiplier), it implies climactic transfer of inventory from strong hands to weak hands. The algorithmic detection of these specific variables provides a quantifiable method for identifying trend exhaustion without relying on lagging, bounded oscillators. ● Fractal Market Geometry By rendering both LTF and HTF structural pivots within the same visual plane, the script operationalizes the concept of fractal market geometry. Financial time series exhibit self-similarity across different scales. A pivot high on a 15-minute chart is formed by the same behavioral mechanics as a pivot high on a Daily chart, but they carry vastly different liquidity weights. The script's strict index-offset MTF architecture ensures that the geometric relationship between these distinct fractal layers is evaluated with absolute temporal accuracy, providing a mathematically sound representation of macro supply and demand overlaying micro price action. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
אינדיקטור Pine Script®
מאת ‎MarkitTick‎
2
Pivot Breakout Retest Signals [algo_aakash]Overview Pivot Breakout Retest Signals is a price action indicator that helps traders identify potential bullish and bearish retest opportunities around Classic Pivot Point levels. The indicator calculates pivot levels from a selected higher timeframe (Daily, Weekly, or Monthly) and monitors price for breakout events followed by retests of those levels. When a valid retest is confirmed within the specified window, the script displays a Bullish or Bearish signal on the chart. Features • Classic Pivot Point calculation • Daily, Weekly, or Monthly pivot timeframe selection • Automatic breakout detection • Retest confirmation logic • Bullish and Bearish signal visualization • Configurable retest window • Alert support for signal events How It Works Bullish Conditions 1. Price breaks above a Pivot, R1, or R2 level. 2. The breakout is recorded. 3. Price retests the broken level within the user-defined retest window. 4. If price closes back above the level after the retest, a Bullish signal is generated. Bearish Conditions 1. Price breaks below a Pivot, S1, or S2 level. 2. The breakdown is recorded. 3. Price retests the broken level within the user-defined retest window. 4. If price closes back below the level after the retest, a Bearish signal is generated. Inputs Pivot Timeframe Select the timeframe used to calculate pivot levels: • Daily • Weekly • Monthly Retest Window Determines how many candles are allowed between the breakout and the retest confirmation. Alerts The script includes built-in alert conditions: • Bullish Alert • Bearish Alert Alerts can be used with TradingView's notification system or connected to external workflows. Notes • Pivot levels are calculated using completed higher-timeframe data. • Signals are generated only after both breakout and retest conditions are satisfied. • The indicator is intended as an analytical tool and may be combined with other forms of technical analysis. Limitations • Signals can occur during ranging or volatile market conditions. • Not every breakout or retest will lead to sustained price movement. • Additional confirmation methods may be useful depending on the market and trading style.
אינדיקטור Pine Script®
מאת ‎algo_aakash‎
7
Advanced Fear & Greed Cycle (Quant Model)## Overview The **Advanced Fear & Greed Cycle (Quant Model) v6** is a pure quantitative oscillator designed to decode market sentiment by measuring the architectural divergence between smart money accumulation and retail distribution. Fully upgraded to Pine Script v6, this script addresses standard oscillator limitations by implementing dynamic time-frequency normalization ($0-100$ fixed scale). Unlike standard sentiment proxies, this model filters out price-action noise by isolating volume flows, directional volatility, and mean-reversion extensions simultaneously. --- ## Mathematical Architecture & Core Engines ### 1. Directional Volatility Engine Standard models treat volatility expansions as pure panic. This algorithm isolates **Directional Volatility**: - A 14-period Average True Range (ATR) is mathematically normalized over a dynamic 90-day rolling quarter (`lookback`). - **Trend Filter:** Volatility is converted into the `vol_fear` metric **only** if the closing price is below its 14-period Simple Moving Average (`is_descending`). Upside expansions (bullish breakouts) are correctly filtered out to prevent false panic readings. ### 2. Normalized Volume & Flow Sentiment Liquidity and order-flow tracking are computed via a three-layered matrix: - Normalized Volume spikes relative to the quarterly window. - Inside-candle Selling Pressure ( AMEX:HIGH - Close$ versus the overall candle range). - A normalized On-Balance Volume (OBV) structure to track mathematical capital inflows and outflows. ### 3. Boundary-Proof Macro Extension (Mayer Proxy) To track cyclical overextensions, the script calculates the asset's percentage distance from its long-term moving average (SMA 200 on Daily, SMA 40 on Weekly charts). To solve the scale break-out issue (where different assets experience wildly different percentage extensions), a **MinMax Normalization** is applied. This compresses the structural extension into a bound $0-100\%$ scale (`extension_norm`) based on the rolling quarter's extremes. --- ## The Greed Score Synthesizer The final plotting line is the **Greed Score**, a mathematically symmetric index calculated as: $$\text{Greed Score} = \frac{(100 - \text{Fear Index}) + \text{Extension Norm}}{2}$$ This creates a fixed-bound oscillator ($0$ to $100$) that charts three distinct market phases: - 🟢 **INSTITUTIONAL ACCUMULATION (Green Zone / < 20):** High systemic fear combined with compressed macro price extensions (< 25%). Smart money absorbs panicking retail order flow near historical value areas. - ⚪ **NEUTRAL REGIME (Gray Line):** Symmetrical equilibrium where supply and demand are balanced. - 🔴 **RETAIL FOMO / BUBBLE (Red Zone / > 80):** Zero systemic fear combined with extreme quarterly price overextensions. Retail traders buying the top driven by euphoria, highlighting distribution blocks. --- ## Display Dashboard & Custom Parameters The top-right informational panel provides real-time diagnostic outputs of the quantitative data (Current Cycle State, Exact Greed Score, and Normalized Extension %). Traders can adjust the `Soglia Bolla Normalizzata` input to calibrate the macro-exhaustion scanner to specific asset classes (Equities, Forex, or Cryptocurrencies). --- Disclaimer: This tool calculates mathematical probabilities based on normalized historical structures. It does not provide definitive buy/sell signals or financial advice. Always integrate sound risk management protocols.
אינדיקטור Pine Script®
מאת ‎Jeko693‎
Confluence Zone Engine [CZE]# Confluence Zone Engine A structural analysis indicator that identifies support and resistance zones by clustering Anchored VWAPs and Anchored Volume Profile levels across the chart timeframe and up to three higher timeframes. Each zone is rated 1 to 5 stars based on how many independent sources cluster at the level and how diverse those sources are. This is a structural analysis tool. It marks where multiple independent technical references agree at a price. It does not place trades or suggest entries, exits, targets, stops, or position sizes. --- ## What this script does The engine runs a six-stage pipeline on every confirmed bar: **Stage 1 — Pivot detection.** Detects pivot highs and pivot lows at Fibonacci-spaced lengths (3, 5, 8, 13, 21, 34, 55, 89). Each pivot becomes an "anchor" point. Default enabled tiers are 8, 21, and 34 — selected to give fast / medium / slow coverage without redundancy. The full Fibonacci set is configurable. **Stage 2 — Per-anchor calculations.** For every anchor, the engine maintains: - An Anchored VWAP (volume-weighted average price since the anchor bar) - An Anchored Volume Profile, which produces a Point of Control (POC = most-traded price since anchor) and a Value Area (VAH and VAL = upper and lower edges of the 70% volume zone) So a single pivot generates up to 4 contributor levels: AVWAP, POC, VAH, VAL. **Stage 3 — Higher-timeframe replication.** The same pipeline (stages 1 and 2) re-runs on up to three configurable higher timeframes via non-repainting `request.security` calls. This produces a multi-timeframe view of structural anchors — pivots and AVWAPs from a 1H chart inform what the 5m engine treats as a higher-timeframe reference. **Stage 4 — Cluster building.** All contributor levels from all enabled timeframes are collected. The cluster builder walks them in price order, merging any that fall within a configurable tolerance (default 0.08% of current price; preset-adjusted per asset class). A cluster with at least the minimum-count threshold becomes a candidate zone. **Stage 5 — Star rating.** Each zone is rated 1 to 5 stars based on: - Total contributor count - Source-type diversity (how many of the 4 source categories — PH-AVWAPs, PL-AVWAPs, POCs, VAH/VAL — are present) - HTF agreement (whether contributors from multiple timeframes align) A "Premium" tier flag fires when top stars combine with HTF agreement. **Stage 6 — State machine.** Each zone is tracked through a lifecycle: - **Active** (forming, amber): the zone is currently accumulating contributors - **Pending** (blue): contributor activity has paused; waiting for price to resolve the level - **Resolved Support** (green), **Resistance** (red), or **Chop** (gray): determined by whether price moved decisively up, decisively down, or stayed range-bound after the zone activated - **Tested** (dashed border): price entered the resolved zone but has not closed past the defending edge - **Broken** (dashed orange + "Broken" label): price has closed past the defending edge - **Flipped**: if a Broken state confirms over multiple closes past a threshold, the zone repaints to the opposite role (broken Resistance becomes Support, broken Support becomes Resistance) --- ## Why this indicator is original (not a simple mashup) This is not "AVWAP indicator + Volume Profile indicator + multi-timeframe wrapper." Three design choices distinguish it from existing public indicators: **1. Anchored at every Fibonacci pivot, not at a single user-selected point.** Standard AVWAP indicators require the user to manually click an anchor point. Standard Volume Profile indicators use either a fixed session or a single anchor. This engine automatically detects pivots at multiple Fibonacci lengths and runs an AVWAP + Volume Profile from each one. The number of active anchors at any time is typically 6 to 20, generating 24 to 80 contributor levels — far more than a manually-anchored tool can produce. **2. Cross-timeframe clustering, not separate per-timeframe overlays.** The engine does not draw 5 separate AVWAPs from a 1H chart, plus 5 from a 4H, plus 5 from a daily. Instead, levels from all timeframes are collected into one pool and clustered in price space. A 1H AVWAP at 23,720 and a daily POC at 23,718 merge into a single zone marked as "two contributors from two timeframes." This produces structural information neither timeframe shows alone. **3. Compositional bias from the contributor mix.** The cluster builder records *which type* of contributor formed each zone — pivot-high AVWAPs (trapped sellers' breakevens), pivot-low AVWAPs (trapped buyers' breakevens), POCs (acceptance), VAH or VAL (fair-value edges). The directional implication of each type is summed into a "compositional bias" score. A zone built mostly from PL-AVWAPs and VAL contributions leans support; one built from PH-AVWAPs and VAH contributions leans resistance. This is an analytical lens not present in standard S/R indicators, which generally treat all levels as direction-agnostic. --- ## Mashup justification — how the components work together The four classes of technical analysis used (pivots, AVWAP, Volume Profile, multi-timeframe analysis) are not chosen arbitrarily. Each contributes a dimension the others do not, and the value comes from how they interact: **Pivots provide the anchors.** Without pivots, AVWAP needs a manual anchor and Volume Profile needs an arbitrary session. Pivots at multiple Fibonacci lengths give the engine *automatic structural anchors* spanning timescales — short-term swings, intraday swings, session-level swings. The Fibonacci spacing (3, 5, 8, 13, 21, 34, 55, 89) ensures the anchors are non-redundant: each tier has a different bar requirement and catches different swings. **AVWAP measures participant breakeven from each anchor.** This is the "where might trapped participants defend" dimension. An AVWAP from a pivot high is the volume-weighted breakeven for everyone who entered after that high (mostly net-short positions). An AVWAP from a pivot low is the breakeven for everyone who entered after that low (mostly net-long). When price returns to one of these AVWAPs, structurally those participants are at breakeven and have incentive to act. **Volume Profile measures acceptance from each anchor.** This is the "what price has been most-accepted by volume" dimension. POC is the most-traded price; VAH/VAL are the edges of the 70%-volume range. AVWAP and POC measure different things — average price vs most-accepted price — and frequently disagree. When they *do* agree at a level, that's two independent signals saying "this price matters." **Multi-timeframe replication tests for structural agreement.** A zone that exists only on the chart timeframe is one-timeframe noise. A zone where chart-TF contributors *agree with* higher-TF contributors at the same price is structural — the same level shows up no matter which timescale you measure from. The engine treats HTF agreement as a primary input to the star rating: HTF-aligned zones can earn an extra star (capped to prevent inflation). **The clustering is where the value emerges.** Individually, none of these components produce reliable levels. AVWAP gets broken constantly. POC migrates. Pivot levels get violated. But when the engine sees that the 21-pivot AVWAP, the 34-pivot POC, the 8-pivot VAL, and a 1H AVWAP all land within 0.08% of each other at the same price, that's a confluence of independent references measuring different things — and that *coincidence* is what produces structural significance. The star rating quantifies how much agreement is present. This is the mashup's purpose: not to combine indicators for their own sake, but to use convergence as a filter that turns individually noisy components into a rated structural signal. --- ## How to use the indicator **Step 1: Apply to any chart timeframe.** All settings have sensible defaults. The asset-class preset (NSE Index Futures, NSE Stock, US Future, US ETF, US Stock, Commodity, Crypto, or Custom) auto-adjusts cluster tolerance and pivot defaults. Auto-selected higher timeframes scale with the chart — a 5m chart defaults to 15m/60m/240m HTFs, while a daily chart defaults to weekly/monthly HTFs. **Step 2: Read the status panel (bottom-right).** This is the actionable summary: - "Sup" row: nearest resolved Support below current price, with point distance - "Res" row: nearest resolved Resistance above current price, with point distance - "Top zone": the highest-rated zone overall - "Data": indicator health (OK / Degraded / Critical) — if the underlying volume data is sparse, ratings are capped **Step 3: Scan the chart for "Broken" labels.** Any zone in dashed orange with a "Broken" label is currently being violated. Watch for either recovery (border returns solid) or polarity flip confirmation (zone repaints to opposite role). **Step 4: Find the active amber zone.** This is the current forming confluence. Look at the triangle shape: ▲ means the composition leans support, ▼ means it leans resistance, ◆ means neutral. The number next to the triangle is the star rating. A premium "★" prefix means HTF agreement is present. **Step 5: Use the Major S/R lines as forward references.** Bold horizontal lines mark the top 2 strongest support levels below current price and top 2 strongest resistance levels above. Labels show price, stars, and distance. **Step 6: Use the Range band as context.** The translucent aqua band marks the recent trading envelope (default last 50 bars). A narrow band means consolidation; a wide band means trending. **Step 7: Hover any element for the full breakdown.** Every box, triangle, and line has a tooltip showing total contributors, type counts, HTF alignment, state, and history. --- ## How NOT to use the indicator - **Do not treat the bias arrow as a trade signal.** It is a compositional description of contributors, not a directional forecast. A zone with a ▲ bias can still resolve as resistance. - **Do not treat a "Broken" label as a trade trigger.** It tells you a known level is failing — not that you should enter a position in either direction. - **Do not assume higher stars mean higher profit probability.** Stars measure the diversity and density of contributors, not historical performance or expected return. - **Do not rely on it for low-volume instruments.** If the data-health badge shows "Degraded" or "Critical," the engine has capped ratings and may suppress zones entirely. This is a feature; the indicator is most accurate on liquid, volume-rich instruments (index futures, large-cap stocks, major crypto). --- ## How to read the star rating Stars are a descriptive summary of confluence quality. They are not a probability of profit. - 1 to 2 stars: minimum cluster; one or two source types. Background context. - 3 stars: at least 5 contributors with 2 or more source types. Recurring intraday levels. - 4 stars: at least 7 contributors with 3 or more source types, OR 3-star with HTF agreement. - 5 stars: at least 10 contributors with all 4 source types present. Often boosted by HTF alignment. By default, only 4-star and 5-star zones get triangle markers and qualify for Top-N or Major S/R lines. This is adjustable. --- ## Visual primitives - **Confluence zones** — colored boxes marking each cluster. Boxes recolor as zones resolve. Border style indicates compromised state. - **Triangle markers** — ▲ ▼ ◆ at each formation bar. Shape encodes direction. Color encodes lifecycle state. - **Top-N S/R lines** — top 4 resolved zones by strength and recency project forward. - **HTF confluence bands** — semi-transparent bands per higher timeframe (cyan, purple, orange). - **Major S/R lines** — bold lines for top 2 supports below and top 2 resistances above current price. - **Range band** — translucent band marking recent trading range with HI / LO labels. - **Current price line** — thin dotted line at current price. - **Status panel** — bottom-right summary. --- ## Technical notes - Pine Script v6 - Non-repainting: all `request.security` calls use `barmerge.lookahead_off` - Asset-class presets adjust cluster tolerance and pivot defaults - Built-in data-integrity layer caps ratings when volume data is sparse or stale - Seven alert conditions: new zone formed, high-quality (4 to 5 star) zone, HTF aligned, price entered support, price entered resistance, data health degraded, polarity flip --- ## Important risk disclosure This indicator is provided for educational and informational purposes only and is not financial advice. Trading and investing involve substantial risk of loss, including the possible loss of all invested capital. The zones, ratings, bias shapes, and lines are descriptive summaries of structural confluence — they are not predictions of future price movement, indications of profitability, win rate, or expected return. No backtested or hypothetical performance is claimed or implied. Past zones identified by the indicator are not indicative of future results. You are solely responsible for any decisions you make. Consult a qualified, licensed financial advisor before trading. Past performance does not guarantee future results.
אינדיקטור Pine Script®
מאת ‎Market_Logic_India‎
6
Acceptance Failure Path Map [AGPro Series]Acceptance Failure Path Map 🧠 Core Idea Did price truly accept beyond a market boundary, or did that acceptance fail and create a new reaction path? 📌 Overview / What it does Acceptance Failure Path Map is a market-structure visualization tool designed to study acceptance, failed acceptance, reclaim attempts, and continuation behavior around a defined reference range. The script maps an acceptance band, detects whether price holds above or below that band, and highlights when accepted price fails back through the boundary. It produces compact labels, a centered path zone, right-side state tags, and an AG Pro panel that summarizes the current acceptance context. It does not predict price direction, automate decisions, or claim that any acceptance event must continue. Its purpose is to make acceptance quality easier to read. 🎯 Purpose & Design Philosophy This script was built for traders who want to understand whether a move is being accepted by the market or rejected after a temporary push beyond structure. Many breakout tools mark only the breakout event. This script focuses on what happens after the breakout: acceptance, failure, reclaim pressure, and continuation risk. The design supports a patient, context-first workflow where the trader reads the path of price around a boundary instead of reacting to a single candle. ⚡ Why This Script Is Different Most tools focus on breakout signals, support and resistance touches, or simple range breaks. This script does NOT treat every break as meaningful acceptance. Instead, it builds a path map around acceptance quality, failure timing, reclaim behavior, and current risk state. The result is a cleaner view of whether price is holding acceptance or losing it. ⚙️ Methodology 1. Context Detection The script builds a reference range from recent market structure and applies an ATR-based buffer to reduce noise. 2. Reference Mapping It defines upper and lower acceptance boundaries and tracks whether price closes beyond them for the required number of bars. 3. Reaction Evaluation After acceptance appears, the script monitors whether price fails back through the boundary, attempts reclaim, or holds continuation. 4. Visual Output The chart displays an acceptance path zone, event labels, right-side state tags, and a panel summarizing the current condition. 🗺️ How to Read the Chart Zones show the current acceptance path area around the active boundary. Labels highlight acceptance above, acceptance below, acceptance failure, reclaim tests, and held acceptance. Colors separate bullish acceptance, bearish acceptance, neutral failure risk, and reclaim context. The panel shows the current path state, acceptance side, failure risk, path quality, reference range, active boundary, and next context. 🚦 Signals & States • ACCEPT ABOVE → Price has accepted above the reference boundary. • ACCEPT BELOW → Price has accepted below the reference boundary. • ACCEPT FAIL → Accepted price failed back through the boundary within the failure window. • RECLAIM TEST → Price is testing reclaim after a failed acceptance event. • ACCEPT HELD → Acceptance remained valid after the failure window. 🔔 Alerts Logic Alerts trigger when the script detects acceptance above, acceptance below, acceptance failure, or reclaim testing. These alerts are attention markers. They are not trade instructions, entry signals, or guaranteed outcomes. 🧩 Confluence Logic The context becomes stronger when acceptance quality, distance from the reference range, participation, and follow-through direction align. If acceptance appears without follow-through or quickly returns through the boundary, the failure context becomes more important. 📊 When to Use • After range breaks • Around support and resistance transitions • During breakout retests • When price is attempting to hold above or below a major boundary • When evaluating whether market structure is accepted or rejected ⚠️ When NOT to Use • Extremely illiquid markets • Very noisy low-timeframe candles • News-driven spikes with unstable spreads • Markets with no meaningful reference range • Situations where a single indicator is being used without broader context 🎛️ Key Inputs • Reference Range Length → controls how much structure is used to build the acceptance boundary. • Acceptance Bars → controls how many closes are required before acceptance is recognized. • Failure Window → controls how quickly accepted price must fail back through the boundary. • Boundary Buffer ATR → adjusts the buffer around the reference range. • Label and Panel Font Size → adjust chart readability. • Visible Band Bars and Band Projection Bars → control how the acceptance zone appears on the chart. 🖥️ Interface & Visual Design The interface is designed for a premium, clean chart view. The panel provides the current summary. The acceptance zone carries the main story. Labels are compact and spaced to avoid hiding candles. The visual hierarchy is intentionally simple: zone first, current state second, event labels third. 🧪 Practical Usage Workflow 1. Read the AG Pro panel to identify the current path state. 2. Check whether price is above, below, or inside the acceptance path zone. 3. Review recent labels to understand whether acceptance held, failed, or reclaimed. 4. Compare the current failure risk and path quality with broader market context. 5. Use alerts only as attention markers for further review. 🔍 Interpretation Guidelines Acceptance is stronger when price remains outside the boundary with follow-through. Acceptance failure is more meaningful when price quickly returns through the boundary after appearing accepted. Reclaim tests should be interpreted as context changes, not automatic reversal signals. Held acceptance suggests the market is continuing to respect the accepted side, but it still requires confirmation from broader structure. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an automated trading system. It does not provide guaranteed buy or sell signals. It does not replace risk management, market context, or independent analysis. ⚠️ Limitations & Transparency Acceptance behavior can look different across timeframes. High volatility can create temporary false readings. Low-liquidity markets may produce unstable boundary behavior. The script is rule-based and depends on the selected settings, symbol behavior, and chart timeframe. 🧠 Market Context Notes Acceptance and failure are closely related to market structure, liquidity reaction, and participant commitment. When price breaks a boundary but cannot hold it, the failed side may become the more important context. When price accepts and holds, the market may be showing stronger directional commitment. 🧾 Use Case Examples When price accepts above a range and holds beyond the failure window, the chart may show an ACCEPT HELD context. When price accepts above a boundary but quickly closes back below it, the script may mark ACCEPT FAIL. When price returns back toward a failed boundary, the script may show a RECLAIM TEST state. 🧱 System Philosophy AGPro Series tools are built to visualize market context without turning analysis into prediction. The goal is to make structure, risk, and reaction quality easier to observe in real time. 🔐 Non-Promise Statement No script can guarantee market direction, timing, or outcome. This tool provides structured visual context only. 📉 Risk Disclosure Trading involves risk. Users are responsible for their own decisions, risk management, and position sizing. This script does not provide financial advice or guaranteed trading results. 📚 Educational Note Use this script as a learning and analysis tool for studying acceptance, failed acceptance, reclaim pressure, and continuation behavior around market boundaries.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
Range Control Transfer Map [AGPro Series]Range Control Transfer Map 🧠 Core Idea Who controls the range now, and did control transfer from the buyer side to the seller side or from the seller side to the buyer side? 📌 Overview / What it does Range Control Transfer Map is a range-control visualization tool built to study sideways markets where price rotates between upper and lower boundaries. The script builds a mature range, separates it into buyer-control and seller-control zones, maps the internal control transfer band, tracks acceptance through that band, scores transfer quality, monitors failed-transfer risk, and summarizes the current control state in a compact AG Pro panel. It does not predict future price, automate trades, or claim that a control-transfer event must continue. It is a structured decision-support map for reading range control, acceptance, failed transfer risk, and next-context conditions. 🎯 Purpose & Design Philosophy Many range tools answer only one question: Where are support and resistance? This script was built to answer a more useful question: Who controls the range now? The design goal is to help traders separate passive sideways movement from meaningful control transfer inside a mature range. ⚡ Why This Script Is Different Most range tools draw a box, mark the high, mark the low, and stop there. This script does NOT treat every range touch as equally important. Instead, it divides the range into buyer-control and seller-control halves, watches the midpoint transfer band, checks candle body commitment, reviews volume participation, evaluates range health, and tracks whether the active control side is still protected or starting to fail. The focus is not only where the range is. The focus is who is gaining or losing control inside it. ⚙️ Methodology 1. Range Detection The script identifies a working range using recent high/low structure, ATR-normalized range height, and repeated edge interaction. 2. Range Health Scoring Range Health combines range height balance, edge-touch behavior, and current position relative to the control line. 3. Control Zone Mapping The upper half becomes the Seller Control Zone. The lower half becomes the Buyer Control Zone. The midpoint area becomes the Control Transfer Band. 4. Transfer Evaluation When price accepts through the transfer band with enough candle body commitment, the script evaluates whether buyer or seller control has transferred. 5. Transfer Quality Scoring Transfer Quality combines range health, candle body commitment, and volume participation into a 0-100 score. 6. Failure Risk Review The script monitors whether the active transfer is losing the transfer band and moving back toward control reset. 7. Visual Output The chart displays buyer/seller control zones, the control transfer band, active transfer labels, failed-transfer labels, right-side control tags, alerts, and a compact AG Pro panel. 🗺️ How to Read the Chart Seller Control Zone = the upper half of the mature range where seller-side control is evaluated. Buyer Control Zone = the lower half of the mature range where buyer-side control is evaluated. Control Transfer Band = the internal midpoint band where control handoff is judged. SELLER CONTROL = price has accepted through the transfer band in favor of the seller side. BUYER CONTROL = price has accepted through the transfer band in favor of the buyer side. BALANCE = the range is mature, but neither side has clean active control. RANGE BUILDING = the current structure is not mature enough for control-transfer mapping. Panel = summarizes control side, transfer quality, range health, failure risk, control zone, and next context. 🚦 Signals & States • CONTROL TRANSFER UP → buyer-side control transfer detected. • CONTROL TRANSFER DOWN → seller-side control transfer detected. • FAILED BUYER CONTROL → buyer-side transfer failed back through the control band. • FAILED SELLER CONTROL → seller-side transfer failed back through the control band. • BUYER EDGE CONTROL → price reacts from the lower control side. • SELLER EDGE CONTROL → price reacts from the upper control side. • BALANCE → no clean control transfer is active. • RANGE BUILDING → the structure is not mature enough yet. 🔔 Alerts Logic Alerts trigger when a major range-control event appears. • Buyer Control Transfer → buyer-side transfer detected. • Seller Control Transfer → seller-side transfer detected. • High-Quality Control Transfer → transfer quality reaches the required threshold. • Failed Control Transfer → active control transfer loses the control band. • Buyer Edge Control → optional alert for lower-edge control reaction. • Seller Edge Control → optional alert for upper-edge control reaction. Alerts are attention markers, not trade instructions. 🧩 Confluence Logic The context becomes stronger when: • The range has enough ATR-normalized height • The range has repeated edge interaction • Price accepts through the transfer band • Candle body commitment supports the transfer direction • Volume participation is not weak • Transfer Quality is above the required threshold • Failure Risk remains low after the transfer • The panel state agrees with the chart label When these elements do not align, the script avoids treating every range movement as a meaningful control shift. 📊 When to Use • Range-control review • Sideways market analysis • Buyer/seller control mapping • Failed transfer review • Range acceptance study • Crypto, stocks, futures, forex, and liquid markets • 15m, 30m, 1H, 4H, and 1D charts ⚠️ When NOT to Use • Very low-liquidity assets • Extremely noisy micro timeframes • Strong news spikes that distort range structure • Clean one-directional trend environments with no mature range • Markets where every midpoint cross is being over-interpreted • Situations where a single label is expected to act as a guaranteed signal 🎛️ Key Inputs • Range Lookback → defines the recent structure window used for range high, range low, and control line. • Minimum Range Height ATR → defines the minimum range height required for a meaningful control map. • Maximum Range Height ATR → prevents very wide structures from being treated as clean range-control maps. • Use Intraday Adaptive Range → allows intraday charts to keep useful control maps without making higher-timeframe charts too noisy. • Edge Touch Tolerance ATR → controls how close price must come to a range edge to count as an edge interaction. • Control Band ATR → controls the thickness of the internal transfer band. • Minimum Transfer Score → defines the quality threshold for meaningful control transfer. • Minimum Body / Range → controls how much candle body commitment is required. • Volume Confirm Ratio → defines how much participation is required for full volume credit. • Failure Buffer ATR → controls where an active transfer starts to fail. • Maximum Transfer Age → defines how long an active transfer can remain under review. 🖥️ Interface & Visual Design The visual hierarchy is built around the active range: The full range box defines the structure. The upper half shows seller-control territory. The lower half shows buyer-control territory. The transfer band marks the internal handoff area. Event labels mark control transfer and failed-control states. Right-side tags keep buyer control, seller control, and transfer references visible. The AG Pro panel compresses the current range-control context into a fast, readable summary. 🧪 Practical Usage Workflow 1. Read the panel Control Side. 2. Check whether the chart is Range Building, Balance, Buyer Control, or Seller Control. 3. Review where price is relative to the Control Transfer Band. 4. If a transfer label appears, compare it with Transfer Quality. 5. Watch whether Failure Risk remains low or starts rising. 6. Use the buyer and seller control zones as context areas, not automatic trade levels. 7. Confirm with broader market structure, liquidity, volume, and risk planning. 🔍 Interpretation Guidelines A buyer-control transfer does not guarantee upside continuation. A seller-control transfer does not guarantee downside continuation. A failed-transfer label means the active control idea weakened. A range-building state means the structure is not mature enough yet. The script is best used as a range-control context layer, not as a standalone trading system. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not provide guaranteed entry or exit signals. It is not a simple support/resistance box. It is not another generic range breakout indicator. ⚠️ Limitations & Transparency Range quality depends on timeframe and market structure. Very volatile markets can expand beyond a clean control map. Low-liquidity symbols may create unreliable edge and transfer behavior. Choppy markets can create repeated control-transfer attempts. Volume behavior can differ across crypto, stocks, futures, and forex. 🧠 Market Context Notes Ranges often move through recognizable control phases: range building → balance → control transfer → defense → failure or continuation. This script visualizes that sequence so users can avoid treating every support or resistance touch as equally meaningful. 🧾 Use Case Examples If price accepts through the transfer band from the lower half, the script may mark CONTROL TRANSFER UP. If price accepts through the transfer band from the upper half, the script may mark CONTROL TRANSFER DOWN. If an active buyer-control transfer loses the band, the script may mark FAILED BUYER CONTROL. If an active seller-control transfer loses the band, the script may mark FAILED SELLER CONTROL. 🧱 System Philosophy The goal is not to predict the next breakout. The goal is to understand control inside the range. This script treats range behavior as a sequence: structure → control zone → transfer band → acceptance → defense or failure. 🔐 Non-Promise Statement No control-transfer label guarantees continuation. No failed-transfer label guarantees reversal. No range zone guarantees support or resistance. All outputs should be interpreted as analytical context. 📉 Risk Disclosure Trading involves risk. This script is for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users are fully responsible for their own decisions, risk management, and trade execution. 📚 Educational Note Use the script to study how control shifts inside mature ranges. The most useful question is not only where the range high and low are. The better question is whether control has actually transferred inside the range.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
Bex DRBex DR/IDR is a professional Defining Range (DR) and Initial Defining Range (IDR) indicator for session-based traders. Features: • Regular, After-hours, and Overnight DR/IDR sessions • Dynamic STD expansion levels • Automatic DR body break detection • Candle highlighting for breakout confirmation • Configurable session ranges and extensions • Optimized Pine Script v6 implementation • Built for futures, forex, indices, gold, and crypto traders The indicator helps identify: • Session ranges • Expansion targets • Breakout confirmations • Market structure shifts • Intraday liquidity movements Best suited for: • ICT / SMC traders • Futures traders • NY session traders • Scalpers and intraday traders
אינדיקטור Pine Script®
מאת ‎A-R-V‎
_Neo Matrix__Neo Matrix_ is a market-state and structure reading system — built to make premium-style market structure tools freely accessible to the TradingView community. The main idea is simple: Core shows the market center. Wall shows the structural defense line. Trend Guide shows adaptive price boundaries. Stretch Zones show expansion and exhaustion areas. Dashboard summarizes the current state. Neo Matrix is intended as a visual framework for reading structure, pressure, expansion, and tactical context more clearly. The system combines several visual and contextual components: • Neo Core Neo Core acts as the central reference layer of the system, helping traders observe whether price is moving near, above, or below its main market center. • Neo Wall Neo Wall is a structural defense line designed to show the active market regime and the area where price structure is being defended. • Trend Guide Trend Guide is an adaptive boundary-based layer that helps visualize meaningful price displacement. Its upper and lower boundaries can be displayed to observe where price needs to move before the guide updates. www.tradingview.com • Stretch Zones Stretch Zones are expansion areas around the Core. They help identify when price is moving far away from its central structure and entering a stretched condition. www.tradingview.com • Candle Coloring Candle Coloring is a momentum-based visual layer that helps traders read short-term market tone directly on the candles. www.tradingview.com • State Dashboard State Dashboard is a compact panel that summarizes the current market state through three simple fields: REGIME — structural alignment between Wall and Trend Guide. FLOW — volume-flow-based pressure reading; neutral, bullish, bearish, or stronger pressure zones. WATCH — tactical watch state based on context and active setup areas. www.tradingview.com The market has its own Matrix. Neo helps you read it.
אינדיקטור Pine Script®
מאת ‎Reeduck‎
Liquidity Pool Detector [EXCAVO]Equal High/Low Cluster Detection with Sweep Identification and Period Reference Levels The Liquidity Pool Detector identifies where resting orders accumulate near swing levels by detecting equal highs and equal lows using swing pivot analysis with ATR-based tolerance. When price wicks through a cluster level and closes back inside, the indicator marks a sweep - the moment orders at that level were filled and price reversed direction. This is not a basic pivot-high/low indicator. The cluster-merging logic groups nearby pivots into unified levels with touch counts, and the sweep filter distinguishes between a genuine zone test and a breakout continuation. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator to the price chart. Red solid lines appear above price (equal highs clusters) and blue solid lines appear below price (equal lows clusters). Previous day and week H/L reference levels appear as slightly thicker dotted lines. Step 2 → Watch for sweep markers. "Highs Swept" appears on a bar where price wicked above an equal-highs cluster and closed back below it. "Lows Swept" appears below a bar where price wicked below equal lows and closed above. These bars indicate price tested and reversed from a cluster level. Step 3 → Read the touch count on each cluster label. "Highs ×3" means three swing highs formed at approximately the same level - a stronger cluster with a stronger level formed by more historical touches. Step 4 → Check the dashboard. Dist to High and Dist to Low show how many ATR units separate current price from the nearest cluster above and below. Values below 1.0 ATR highlight in orange - price is close to a level. Nearest High and Nearest Low show the exact price of those levels. Step 5 → Set up sweep alerts to receive notifications on bar close when a cluster level is tested and rejected. Use JSON Alerts for bot integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ Swing Pivot Detection The indicator uses ta.pivothigh() and ta.pivotlow() with a configurable Swing Length (default 3). A pivot high is confirmed when the bar's high is the highest point among the surrounding N bars on each side - requiring N bars to the left and N bars to the right, so detection occurs N bars after the actual pivot forms. This lag ensures the pivot is fully confirmed and the value never changes after the bar closes. Lower Swing Length values (2-3) suit intraday timeframes; higher values (5) suit daily charts. ◆ Cluster Merging (ATR Tolerance) When a new confirmed pivot is detected, the indicator compares it against all existing clusters of the same type. If the distance between the new pivot and an existing cluster level is within the Equal Tolerance threshold (default 0.5 x ATR), the pivots are merged: the cluster level is updated to the weighted average of all touches, and the touch count increments. If no nearby cluster exists and the cluster limit has not been reached, a new cluster is created at that price level. This approach prevents visual noise from minor price variations between otherwise equal levels. ◆ Sweep Detection On each confirmed bar close, every active cluster is checked against two conditions. For equal-highs clusters: if the bar's high exceeded the cluster level AND the close is below the cluster level, a sweep is registered - price moved through the zone of resting orders and reversed. For equal-lows clusters: if the bar's low was below the cluster level AND the close is above it, a sweep is registered. A close through the level without reversal (close >= highs cluster, or close <= lows cluster) is treated as a breakout: the cluster is invalidated and removed without a sweep marker. ◆ Period Reference Levels Previous Day High/Low and Previous Week High/Low are fetched using request.security() with a confirmed-bar offset (high / low with barmerge.lookahead_on). These levels are included in the Nearest High and Nearest Low dashboard calculations alongside the detected equal-high/low clusters. ◆ Non-Repainting Design All cluster additions, sweep detections, and invalidations are gated on barstate.isconfirmed. No cluster is created and no sweep marker is placed until the bar closes. Pivot detection uses a right-bar offset that confirms the pivot on a fully closed bar. No value changes after a bar is confirmed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ ATR-Based Cluster Tolerance Most equal-high/low detectors use a fixed pip or percentage threshold that fails across different instruments and timeframes. Using ATR as the tolerance baseline means the same settings work on BTCUSD hourly (high ATR) and EURUSD daily (low ATR) without manual recalibration. The tolerance adapts to current market conditions automatically. ◆ Cluster Merging with Touch Count Instead of drawing a separate line for every swing pivot, nearby pivots are merged into a single cluster with an incrementing touch count. A cluster labeled "Highs ×3" represents three independent swing highs at the same level - a significantly stronger zone than a single untested level. The line and label update in place as new touches are added. ◆ Sweep vs Breakout Distinction The indicator explicitly separates sweep bars (wick through, close back inside) from breakout bars (close through the level). A sweep generates a "Highs Swept" or "Lows Swept" marker and an alert. A breakout silently removes the cluster. This distinction matters: sweeps are potential reversal setups; breakouts confirm continuation. ◆ Period Levels as Part of the Analysis Previous Day and Week H/L are integrated into the same framework as the equal-high/low clusters. They appear in the Nearest High/Low dashboard calculation and use the same color scheme as cluster lines, making them immediately readable alongside the dynamically detected clusters. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Compact panel showing current conditions: Dist to High - distance from current price to nearest cluster above, in ATR units; turns orange below 1.0 ATR Dist to Low - distance from current price to nearest cluster below, in ATR units; turns orange below 1.0 ATR Nearest High - exact price of the closest active cluster or period level above Nearest Low - exact price of the closest active cluster or period level below Last Sweep - most recent sweep type: Highs Swept, Lows Swept, or - (none) Swing - active swing length parameter Legend table (bottom left) explains cluster lines, period levels, and sweep markers. Both panels toggle in Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Detection Swing Length - 3 bars (pivot confirmation window left and right; use 2-3 for intraday, 5 for daily) Equal Tolerance (x ATR) - 0.5 (cluster merge radius as ATR multiple) Max Clusters - 10 (maximum active clusters tracked per direction) Max Display Distance (x ATR) - 5.0 (clusters beyond this ATR distance from price are hidden; detection continues) Period Levels Show Prev Day H/L - ON (previous day high and low reference lines) Show Prev Week H/L - ON (previous week high and low reference lines) Visualization Bull Color - default blue (equal-lows clusters and lows-swept markers) Bear Color - default red (equal-highs clusters and highs-swept markers) Sweep Color - default orange (sweep marker labels) Show Sweep Markers - ON (labeled markers on sweep bars) Background Highlight - OFF (subtle tint when price is within one ATR of nearest cluster) Alerts JSON Alerts - OFF (enable for bot integration) Dashboard Dashboard Position - Top Right Show Dashboard - ON Show Legend - ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ ALERTS Highs Swept - price wicked above equal-highs cluster and closed below on bar close Lows Swept - price wicked below equal-lows cluster and closed above on bar close Any Sweep - any cluster level tested and rejected on bar close ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
אינדיקטור Pine Script®
מאת ‎EXCAVO‎
key level -she tradesDescription: key level -she trades is a professional-grade technical analysis tool designed to identify high-probability institutional zones based on mathematical price ranges. This indicator divides a user-defined price range into 8 precise "Octave" levels, helping traders visualize where price is likely to react, reverse, or consolidate. 🚀 Key Features: Mathematical Precision: Automatically calculates 7 internal levels between your chosen High and Low prices using a balanced step logic (Gann/Murray Math style). Dynamic Touch Detection: A unique visual feedback system where lines change color (Gold) and thickness in real-time when the price touches a key level. Institutional Color Coding: Black: Major structure boundaries (Top Range, Pivot Point, and Bottom Range). Red (Neon): Premium Sell Zones for potential reversals or supply entries. Blue (Neon): Discount Buy Zones for potential long entries or demand clusters. Pro UI/UX: Clean, non-cluttering labels that display the exact price of each level for fast decision-making. Smart Alerts: Built-in alert system to notify you the moment the price hits the Pivot Point or the extreme Buy/Sell zones. 📈 How to Use: Identify the Range: Find a significant high and low on your current timeframe. Input Prices: Enter these values into the indicator settings. Execute: Look for Sell setups in the Red Zones. Look for Buy setups in the Blue Zones. Use the Black Pivot as a target or a trend-bias confirmation. Perfect For: Scalpers looking for quick rejections. Day traders identifying intraday ranges. Price Action traders who need clean, mathematical levels.
אינדיקטור Pine Script®
מאת ‎cutie_life‎
2
Breakout Retest Readiness [AGPro Series]Breakout Retest Readiness 🧠 Core Idea Is the post-breakout retest being accepted with structure, or is the breakout losing quality at the risk edge? 📌 Overview / What it does Breakout Retest Readiness is a chart-first planning tool built to evaluate what happens after a confirmed breakout and after price starts interacting with the retest pocket. The script maps the broken structure level, builds a retest pocket around it, places a risk-edge shelf beyond the pocket, and projects a target-room guide for context. It then scores the active retest environment with a 0-100 Acceptance Score and displays a clear next-action state in the AG Pro panel. This script does not predict continuation. It does not automate entries. It is designed to organize post-breakout retest context so traders can review acceptance, rejection, risk edge, and plan quality in a cleaner way. 🎯 Purpose & Design Philosophy Most breakout tools focus on the moment price crosses a level. In practice, many useful decisions happen after the break, when price returns toward the broken level and either accepts it or fails around it. This script was built for traders who want a structured retest planning layer rather than another basic breakout marker. It supports a patient workflow: wait for structure, observe the pocket, evaluate acceptance, and review risk before reacting. The design philosophy is simple: the chart should answer what state the retest is in, how strong the acceptance context is, where risk is being tested, and what the next review step should be. ⚡ Why This Script Is Different Most tools focus on detecting a breakout or grading the first retest as a standalone signal. This script does NOT try to clone a classic break-retest quality grader, and it does not print simple buy or sell commands. Instead, it works as a post-breakout readiness planner. It arms a retest pocket after a confirmed breakout, waits for price to interact with that pocket, evaluates acceptance versus rejection, tracks the risk edge, and keeps the next-action state visible in the panel. The difference is the decision layer. The script is less about saying "a retest happened" and more about answering whether the active retest environment is constructive enough to keep reviewing. ⚙️ Methodology 1. Context Detection The script identifies a confirmed break beyond recent structure using a prior high or prior low reference. The breakout must clear the structure by an ATR-normalized buffer so minor pokes are filtered. 2. Reference Mapping After a valid break, the script stores the breakout line, builds a retest pocket around it, places an invalidation shelf beyond the broken level, and projects a target-room guide from the prior structure range. 3. Reaction Evaluation When price interacts with the retest pocket, the script evaluates breakout quality, retest depth, wick rejection, volume change, and trend agreement. These components combine into a 0-100 Acceptance Score. 4. Visual Output The chart shows the active retest pocket, breakout line, risk edge, target guide, compact event labels, and the AG Pro panel. The panel summarizes retest state, acceptance score, breakout quality, risk edge, and action. 🗺️ How to Read the Chart Retest Pocket = the zone around the broken structure level where price is being evaluated after the breakout. Breakout Line = the structure level that was crossed and now anchors the retest plan. Risk Edge = the invalidation shelf beyond the retest pocket. It is a planning reference, not a stop recommendation. Target Guide = a target-room marker projected from the prior range. It is context only, not a forecast. Labels = compact state markers such as ARMED, TEST, ACCEPT, REJECT, RISK EDGE, or EXPIRE. Colors = bullish retest plans use the AGPro teal tone, bearish plans use the AGPro pink tone, watch states use indigo or amber, and risk conditions use red. Panel = the main decision interface showing retest state, acceptance score, breakout quality, risk edge, and next action. 🚦 Signals & States • Breakout Armed → a breakout retest plan has been created after price cleared structure. • Testing Pocket → price is interacting with the active retest pocket and acceptance is being evaluated. • Accepted Retest → the retest has held the pocket with enough acceptance quality to deserve review. • Rejected Retest → the retest has failed around the pocket and quality has weakened. • Risk Edge Hit → price has moved beyond the mapped risk shelf. • Expired → the retest window aged out before a constructive interaction. 🔔 Alerts Logic Alerts are available for breakout plan arming, retest pocket interaction, accepted retest readiness, rejected retest or risk-edge pressure, and expired retest plans. Each alert is an attention marker. Alerts do not represent trade instructions, guaranteed outcomes, or automated strategy decisions. 🧩 Confluence Logic The strongest acceptance context appears when the breakout quality, retest depth, wick rejection, volume behavior, and trend agreement support the same side. When these components align, the retest score improves. When the pocket is too deep, volume behavior is poor, trend context disagrees, or the risk edge is pressured, the readiness state weakens. 📊 When to Use • After clean breakouts from recent structure • During trend continuation review • When price returns toward a broken level • When the trader wants to separate constructive retests from weak post-break reactions • On liquid symbols where structure, volume, and candle behavior are readable ⚠️ When NOT to Use • Extremely low-liquidity instruments • Highly noisy lower timeframes • News-driven volatility spikes • Markets with no clear structure reference • Situations where the breakout level is too close to major external obstruction 🎛️ Key Inputs • Breakout Structure Lookback → controls the prior structure reference used for breakout detection. • Maximum Bars To Retest → controls how long the script waits for the retest pocket to matter. • Sensitivity → adjusts how strict the breakout and acceptance model should be. • Minimum Acceptance Score → defines the score needed before accepted readiness can appear. • Retest Pocket Width ATR → controls the width of the post-breakout pocket. • Invalidation Shelf ATR → controls the mapped risk-edge distance beyond the broken level. • Target Guide Range Multiple → controls the forward target-room guide. • Visual Settings → control pockets, lines, labels, label density, label size, and forward rendering. • Panel Settings → control panel visibility, location, theme, and font size. 🖥️ Interface & Visual Design The interface is built around a clean AG Pro panel and one main chart object family: the retest pocket. The pocket label is centered inside the zone so the active state is visible without needing extra clutter. The breakout line, invalidation shelf, and target guide create a simple visual hierarchy: level, risk, and room. Labels are intentionally compact and controlled by cooldown and maximum-visible settings so the chart remains active without becoming crowded. 🧪 Practical Usage Workflow 1. Read the panel state. 2. Locate the active retest pocket. 3. Check whether price is testing, accepting, rejecting, or pressing the risk edge. 4. Compare the Acceptance Score with the breakout quality. 5. Use the action row as a review prompt, not as an instruction. 🔍 Interpretation Guidelines The Acceptance Score should be read as context quality, not certainty. A higher score means the current retest has cleaner structural behavior under the script's rules. A lower score means the retest is less constructive, too deep, poorly supported, or not aligned with trend context. The Risk Edge matters because a retest can look acceptable for a few bars and still lose structure if price pushes beyond the invalidation shelf. The panel keeps that condition visible. 🚫 What This Script Is NOT This script is not a prediction engine. This script is not financial advice. This script is not an auto-trading system. This script does not provide guaranteed signals. This script is not a generic support and resistance map. This script is not a clone of a first-retest grading tool. ⚠️ Limitations & Transparency The script is rule-based and depends on the selected lookback, timeframe, and market structure. Different symbols can produce different retest behavior. Lower timeframes may show more noise. Higher timeframes may produce fewer but stronger events. Volatility changes can affect pocket size, risk-edge distance, and event frequency. Users should interpret every output within broader market context. 🧠 Market Context Notes Breakout retests are most useful when structure is clear, liquidity is sufficient, and price has enough room to continue without immediate obstruction. Volume behavior can add context, but volume data quality varies across markets. When volume is unreliable, the script treats that component more neutrally. The retest pocket is not a guaranteed support or resistance zone. It is a structured review area around the broken level. 🧾 Use Case Examples When price breaks above recent structure and later returns to the pocket with a controlled pullback, the script can mark the retest as Testing Pocket or Accepted Retest depending on score quality. When price breaks below structure but quickly pushes back above the pocket and pressures the mapped risk edge, the script can mark rejection or risk-edge pressure. When a breakout never returns to the pocket within the selected time window, the script can expire the plan instead of keeping old context alive. 🧱 System Philosophy AGPro tools are designed to support structured chart reading. The goal is not to add more random signals, but to turn market behavior into clearer states, cleaner context, and better review discipline. Breakout Retest Readiness follows that philosophy by turning a common post-breakout question into a visible planning workflow. 🔐 Non-Promise Statement No script can confirm future price direction with certainty. This tool organizes retest context. It does not promise continuation, reversal, profit, or accuracy. 📉 Risk Disclosure Trading involves risk. All outputs from this script are educational and analytical in nature. Users are responsible for their own decisions, risk management, position sizing, and market interpretation. This script does not provide financial advice. 📚 Educational Note Use the script to study how breakouts behave after price returns to the broken level. The most useful insight is often not the breakout itself, but how the market reacts when the level is tested again.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
Reward Room Analyzer [AGPro Series]Reward Room Analyzer 🧠 Core Idea Does the chart offer enough clean reward room before the next major obstacle? 📌 Overview / What it does Reward Room Analyzer is a chart-overlay planning tool designed to evaluate whether the current price area has enough practical space before the next meaningful obstacle. Instead of projecting a take-profit ladder or calculating position size, the script studies the distance from current price to the nearest target-side obstacle, the opposite invalidation reference, room-to-risk ratio, trend support, clean-air structure, and volatility fit. These inputs are converted into a 0-100 Reward Room Score with a clear state such as Open Room, Watch Room, Thin Room, Blocked Path, Risk Heavy, or No Room. The script produces a forward reward room corridor, nearest obstacle rail, invalidation reference rail, compact chart labels, alert conditions, and a clean AGPro planning panel. It does not predict price movement, automate execution, or promise that any target will be reached. 🎯 Purpose & Design Philosophy This script was built to solve a common planning problem: a setup can look attractive, but the path ahead may already be blocked by nearby structure, poor room-to-risk, or excessive invalidation distance. Reward Room Analyzer helps traders review the quality of the space ahead before treating a setup as actionable. It supports a planner mindset: check the available room, identify the obstacle, compare room against risk, and then decide whether the chart deserves more attention. It is designed for traders who care about trade planning, target path quality, risk awareness, and cleaner decision structure rather than another generic signal marker. ⚡ Why This Script Is Different Most tools focus on drawing take-profit levels, R-multiple ladders, Fibonacci extensions, or basic risk/reward boxes. This script does NOT build a TP ladder, position-size calculator, profit tracker, or entry signal system. Instead, it asks a narrower decision question: is there enough clean reward room before the next obstacle, or is the path already too thin, blocked, or risk-heavy? ⚙️ Methodology 1. Context Detection The script selects the active target side using Auto Side, Long Room, or Short Room. Auto Side weighs trend support and available room. 2. Reference Mapping It maps confirmed obstacle pivots, the nearest target-side rail, the opposite invalidation reference, and ATR-normalized reward room. 3. Reaction Evaluation It scores the room using distance to obstacle, room-to-risk ratio, clean-air structure, trend agreement, risk distance, and volatility fit. 4. Visual Output It displays the active reward corridor, centered corridor label, obstacle/invalidation rails, compact labels, alerts, and an AGPro panel. 🗺️ How to Read the Chart Reward Room Corridor = the forward space between current price and the nearest target-side obstacle. Nearest Obstacle Rail = the first meaningful structural barrier in the selected target direction. Invalidation Reference = the opposite-side reference used to estimate risk distance. Labels = compact state markers showing the current reward-room condition and score. Colors = teal and indigo suggest stronger room quality, amber suggests caution, and pink/red suggests weak or blocked room. Panel = summarizes reward score, reward room, obstacle, room-to-risk, target side, and next action. 🚦 Signals & States • Open Room → reward room is wide enough, room-to-risk is acceptable, and risk is not excessive. • Watch Room → context is acceptable but not strong enough for the open-room state. • Thin Room → the nearest obstacle is too close. • Blocked Path → room-to-risk is weak relative to the invalidation reference. • Risk Heavy → invalidation distance is too large compared with the available room. • No Room → conditions are not strong enough for planning attention. 🔔 Alerts Logic • Open Reward Room → triggers when the script enters the Open Room state. • Watch Reward Room → triggers when watchable room appears without reaching Open Room. • Blocked Reward Path → triggers when room-to-risk becomes structurally blocked. • Thin Reward Room → triggers when the nearest obstacle is too close. • Risk Heavy Room → triggers when invalidation distance is heavy relative to room. Alerts are attention markers. They are not trade instructions. 🧩 Confluence Logic Reward room quality improves when the target-side distance, room-to-risk ratio, clean-air structure, trend agreement, balanced risk distance, and stable volatility align. The strongest read appears when the corridor is visibly open and the panel confirms sufficient room with a strong score.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
Parabolic SAR Flip Quality [AGPro Series]Parabolic SAR Flip Quality 🧠 Core Idea Is this Parabolic SAR flip strong enough to plan around, or is it just another noisy stop-and-reverse signal? 📌 Overview / What it does Parabolic SAR Flip Quality is a planner-style Parabolic SAR overlay built to evaluate PSAR flip conditions as trade-decision context, not as simple directional signals. The script keeps the classic Parabolic SAR dot trail visible, then adds a professional quality model that measures flip strength, trend alignment, SAR distance, candle efficiency, volatility expansion, and prior-leg maturity. The result is a clear 0-100 readiness score that helps traders judge whether the current PSAR flip environment is valid, weak, developing, or blocked. It produces qualified flip labels, SAR dots, a SAR-native protection band, and a compact AGPro panel showing Flip Side, SAR Distance, Trend Filter, and Quality Score. It does not automate trades, predict future price, or tell users what to buy or sell. It organizes PSAR flip context into a cleaner decision framework. 🎯 Purpose & Design Philosophy Most Parabolic SAR tools show where the SAR dots are and where the stop-and-reverse event happened. That is useful, but it often leaves the trader with the harder question: is this flip actually good enough to act on, monitor, or ignore? This script was built to fill that gap. It turns a classic indicator into a structured decision engine by asking whether the flip has enough distance, trend support, expansion, and maturity behind it. The design supports traders who want cleaner execution readiness, not more noise. It is built for chart readers who want to evaluate setup quality, risk area, invalidation context, and next-action state before making their own decision. ⚡ Why This Script Is Different Most tools focus on printing every Parabolic SAR flip as if all flips have similar meaning. This script does NOT treat a dot-side change as a complete setup. It also does not turn PSAR into a generic signal board or a generic support/resistance zone map. Instead, it evaluates the flip as a planning event. The script scores the quality of the transition, checks whether trend conditions support the new side, measures how far price is from the SAR reference, and projects a SAR Protection Band that represents the stop-defense area created by the qualified flip. The difference is the decision layer: • Is the flip valid? • How strong is it? • Where is the SAR-based invalidation area? • Is the trend filter helping or blocking the setup? • What is the current read now? ⚙️ Methodology 1. Context Detection The script detects whether price is currently operating on the bullish or bearish side of the Parabolic SAR. It also tracks raw SAR flips and measures how mature the prior SAR leg was before the transition. 2. Reference Mapping The active SAR value becomes the primary reference point. Distance from SAR is normalized by ATR so the read adapts across symbols and timeframes. 3. Reaction Evaluation Each flip is evaluated through a multi-factor quality model: • SAR distance versus ATR • EMA trend alignment • EMA slope direction • DMI directional agreement • ADX trend strength • Candle body efficiency • Range expansion • Prior-leg maturity These conditions are combined into a 0-100 Quality Score. 4. Visual Output When a flip passes the quality threshold, trend filter, SAR distance requirement, confirmation setting, and cooldown control, the script promotes it into a qualified chart label. It can also draw a SAR Protection Band around the flip's SAR reference for forward context. 🗺️ How to Read the Chart SAR dots show the classic Parabolic SAR trail. Bullish dots appear below price, and bearish dots appear above price. Qualified flip labels mark PSAR flips that passed the quality and trend conditions. The label includes the flip side and the quality score, allowing quick comparison between stronger and weaker transitions. The SAR Protection Band represents the PSAR-based stop-defense area created after a qualified flip. It is not a generic support/resistance zone. It is a SAR-native invalidation and planning reference. Colors follow the AGPro visual language: • Teal = bullish side or bullish qualified flip • Pink = bearish side or bearish qualified flip • Gold = neutral, blocked, or caution state • Indigo = trend backbone reference The panel summarizes the active read: • Flip Side • SAR Distance • Trend Filter • Quality Score 🚦 Signals & States • Bullish Flip → A qualified PSAR transition to the bullish side. • Bearish Flip → A qualified PSAR transition to the bearish side. • Trend Filter PASS → The broader trend filter agrees with the current SAR side. • Trend Filter BLOCKED → The SAR side is active, but the broader trend filter does not fully support it. • High Quality Score → The flip has stronger alignment across distance, trend, expansion, efficiency, and maturity. • WAIT Grade → The current condition does not meet the preferred readiness profile. These are analytical states, not trade instructions. 🔔 Alerts Logic Alerts trigger only when a qualified bullish or bearish PSAR flip is confirmed by the script's quality rules. • Qualified Bullish PSAR Flip → A bullish SAR flip passed the trend filter, quality threshold, SAR distance threshold, cooldown rule, and confirmation setting. • Qualified Bearish PSAR Flip → A bearish SAR flip passed the trend filter, quality threshold, SAR distance threshold, cooldown rule, and confirmation setting. Alerts are attention markers. They are not automated trading instructions and do not guarantee future movement. 🧩 Confluence Logic The strongest context appears when several conditions align at the same time: • PSAR flips to a new side • Price has enough ATR-normalized distance from SAR • EMA trend direction supports the flip • DMI confirms directional pressure • ADX shows enough trend strength • Candle structure shows real expansion • The previous SAR leg was mature enough When these elements align, the flip becomes more useful as a planning reference. 📊 When to Use This script is best suited for: • Trending markets where SAR transitions can develop into continuation phases • Swing-trading review on higher timeframes • Crypto, forex, stocks, indices, and commodities with enough liquidity • PSAR users who want a readiness score instead of raw dot flips • Traders who want a cleaner invalidation reference around qualified SAR flips • Multi-timeframe analysis where the user wants to compare flip quality across chart periods ⚠️ When NOT to Use This script is less useful in: • Very low-liquidity markets • Extremely noisy sideways chop • News-driven spikes where ATR and structure can distort quickly • Ultra-low timeframes with unstable spread or poor execution quality • Markets where price repeatedly flips around the SAR without trend expansion In these conditions, raw PSAR flips and quality labels can become less reliable as planning references. 🎛️ Key Inputs • SAR Start → Controls the initial Parabolic SAR acceleration factor. • SAR Increment → Controls how quickly the SAR acceleration increases as the trend develops. • SAR Maximum → Controls the maximum SAR acceleration level. • Trend EMA Length → Defines the trend backbone used by the filter. • DMI Length and ADX Smoothing → Control directional pressure and trend-strength measurement. • Minimum ADX → Sets the required trend-strength floor. • Minimum Quality Score → Defines how selective qualified flip labels should be. • Minimum SAR Distance ATR → Blocks cramped flips that occur too close to the SAR reference. • Prior Leg Maturity Bars → Requires the prior SAR leg to have enough development before a flip receives full maturity credit. • Flip Cooldown Bars → Controls label density and keeps the chart readable. • SAR Protection Band settings → Control the width, forward projection, and maximum active bands. • Panel and Label Font Size → Adjust visual readability, with Normal as the default. • Panel Location and Theme → Control the AGPro panel placement and appearance. 🖥️ Interface & Visual Design The interface is designed to be premium, compact, and decision-focused. The chart keeps the classic PSAR dots as the main visual anchor. Qualified labels appear only when the flip passes the selected filters. The SAR Protection Band is transparent and restrained so it adds planning context without overwhelming candles. The AGPro panel uses a single merged blue header row with the script name, followed by a clean four-row readout. Its purpose is to summarize the current decision state without turning the chart into a dashboard-heavy layout. 🧪 Practical Usage Workflow 1. Read the panel. Check the active Flip Side, SAR Distance, Trend Filter, and Quality Score. 2. Check the latest qualified label. Compare the quality score with the minimum threshold and with prior labels on the chart. 3. Review the SAR Protection Band. Use the band as a SAR-native planning reference for where the qualified flip should remain structurally defended. 4. Confirm broader context. Compare the flip with trend direction, volatility, market structure, and timeframe behavior. 5. Decide independently. Use the output as structured context, not as an automatic trade command. 🔍 Interpretation Guidelines A strong read usually has a qualified flip label, a passing trend filter, enough SAR distance, and a higher quality grade. A weaker read may show an active SAR side but a blocked trend filter or a low score. This means the SAR state exists, but the planning context is not strong enough under the script's model. The SAR Protection Band should be interpreted as a stop-defense and invalidation reference. If price respects it, the flip context remains cleaner. If price violates it, the qualified flip has lost part of its structural value. The best use of the script is comparison: compare current flip quality against previous flips, across timeframes, and across market conditions. 🚫 What This Script Is NOT This script is not a prediction engine. It is not financial advice. It is not an auto-trading system. It does not guarantee profitable signals. It does not replace independent analysis, position sizing, risk management, or broader market context. ⚠️ Limitations & Transparency Parabolic SAR is a trend-following concept, so it can struggle in choppy or directionless markets. Quality scoring improves structure, but it cannot remove all false transitions. Timeframe selection, volatility regime, liquidity, and market session can affect how signals appear and how useful the SAR Protection Band becomes. The script is rule-based and transparent. It reads current and historical chart data according to the selected inputs. It does not know future price behavior. 🧠 Market Context Notes PSAR flips tend to become more meaningful when they occur with volatility expansion, directional pressure, and enough distance from the SAR reference. In compressed markets, the dots may switch sides more frequently and the score may change quickly. In stronger trends, the SAR dots often create cleaner trailing structure, and qualified flips can become more useful as planning events. The best interpretation comes from combining the panel state, SAR distance, label quality, protection band behavior, and the broader market environment. 🧾 Use Case Examples When price flips bullish, the trend filter passes, SAR distance expands above the minimum threshold, and the quality score is high, the user can treat that area as a cleaner bullish planning context. When price flips bearish but the trend filter is blocked, the script communicates caution. The SAR side changed, but the broader read is not aligned. When price returns to the SAR Protection Band after a qualified flip, the user can monitor whether the band is respected or violated as part of the invalidation read. 🧱 System Philosophy The purpose of this script is not to add another signal to the chart. The purpose is to turn a classic indicator into a decision-support framework: • Setup validity • Quality strength • Trend agreement • Risk reference • Invalidation context • Current action state This is the AGPro direction: tools that help traders make better decisions, not tools that simply decorate the chart with more signals. 🔐 Non-Promise Statement No indicator can provide certainty. This script does not promise future outcomes, guaranteed performance, or risk-free execution. Its role is to organize Parabolic SAR flip context into a clearer analytical structure. 📉 Risk Disclosure Trading involves risk, and market conditions can change quickly. This script is provided for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading outcomes. Users are responsible for their own analysis, decisions, risk management, and trading results. 📚 Educational Note Parabolic SAR is one of the most recognized stop-and-reverse indicators because it makes trend state visually simple. This script keeps that visual simplicity while adding a quality and planning layer so users can study which flips deserve more attention and which ones should remain secondary context.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
SuperTrend Flip Zones [AGPro Series]# SuperTrend Flip Zones 🔷 OVERVIEW SuperTrend Flip Zones is a trend-following overlay designed for traders who appreciate the clarity of SuperTrend, but want a more selective and more structured version of it on the chart. Traditional SuperTrend tools are popular because they are simple: the line flips, the color changes, and the chart immediately prints a directional signal. That simplicity is useful, but it also creates a familiar weakness. In many market conditions, raw SuperTrend flips can appear too early, too close to noise, or without enough expansion to show that a genuine directional transition is taking hold. This script was built to solve that exact problem. Instead of treating every SuperTrend direction change as equally meaningful, SuperTrend Flip Zones evaluates the quality of the flip itself. Only qualified flips are promoted into visible BUY / SELL events, and each accepted signal creates a forward-projecting support or resistance zone built around the new SuperTrend structure. The result is not just another SuperTrend clone with different colors. It is a more selective, more chart-aware framework that helps traders judge whether a flip is worth paying attention to, and where the new trend should continue to defend itself after that flip occurs. 🔷 WHAT MAKES THIS DIFFERENT The biggest difference is that this script does not stop at the flip. Most SuperTrend indicators on the platform focus on one task only: detect the directional switch and mark it immediately. SuperTrend Flip Zones takes a broader view. It asks two additional questions: 1. Was the flip strong enough to deserve attention? 2. After the flip, where is the live structural zone that the new trend is expected to protect? That design choice creates a very different chart experience. Instead of receiving every mechanical transition equally, the user sees a filtered signal environment. Weak flips can be ignored, while stronger flips remain visible and are reinforced by an ATR-based zone that extends forward. This makes the tool useful not only at the exact moment of the flip, but also in the bars that follow, when traders are deciding whether the move is still being respected. It also creates clear separation from other AGProLabs tools in the same family. This is not a pullback-quality script. It is not focused on grading retracements inside an already established trend. It is focused on the transition point itself, and on the acceptance zone created by that transition. 🔷 CORE LOGIC The script is built around a custom SuperTrend engine using the selected ATR model, source, and multiplier. When the direction flips, the script does not blindly trust the event. The flip is scored through a multi-factor quality model that examines: - candle body efficiency, - range expansion relative to ATR, - price separation from the active SuperTrend line, - alignment with a trend EMA, - maturity of the prior trend leg before the reversal occurred. Only flips that meet the minimum quality threshold are accepted. Once a bullish or bearish flip qualifies: - a BUY or SELL signal is printed, - the signal can be promoted to BUY+ or SELL+ when the score is stronger, - a rectangular support or resistance zone is created around the new SuperTrend level, - that zone is extended forward to provide ongoing structure. This makes the indicator useful both as a signal filter and as a post-signal map. 🔷 WHY THE ZONES MATTER A standard SuperTrend line tells you where the trailing stop or directional boundary currently sits. This script adds another layer by converting qualified flips into live zones. Those zones are important because they help visualize where the market should continue to accept price if the new directional phase is healthy. In bullish conditions, the zone behaves like a dynamic support belt around the fresh SuperTrend structure. In bearish conditions, the zone behaves like a dynamic resistance belt. If price continues to respect that zone, the flip remains structurally valid. If price loses the zone, the chart communicates that the new directional state is weakening or failing. This produces a more practical read than a line alone, especially for traders who do not always enter on the exact signal bar and instead evaluate continuation quality after the move begins. 🔷 VISUAL DESIGN The script is designed to look polished and organized without overloading the chart. Visual elements include: - bullish and bearish SuperTrend line states, - restrained BUY / SELL labels, - right-extending flip zones, - soft trend cloud for directional context, - compact AGPro panel with merged header row, - configurable panel placement, - dark and light theme support, - adjustable label and panel text sizing. The goal is to keep the chart premium and readable rather than dense and noisy. 🔷 HOW TO USE IT SuperTrend Flip Zones is most useful for traders who want a higher-quality directional read rather than every raw SuperTrend crossover. A typical workflow is: - use the line and cloud to identify the active directional state, - wait for a qualified BUY or SELL rather than reacting to every raw flip, - monitor the projected zone as a live support or resistance area, - observe whether price continues to defend that zone or loses it. This makes the script suitable for discretionary trend-following, continuation analysis, and cleaner overlay-based chart reading. 🔷 BEST FIT This tool is especially useful for: - traders who already use SuperTrend but want cleaner signal selection, - traders who prefer support / resistance style context after the flip, - users who want a premium visual overlay without excessive label density, - trend traders who want a more selective buy sell workflow. 🔷 TRANSPARENCY This is an analytical indicator, not a trading strategy. Like all trend-following tools, it can become less effective in highly compressed or directionless market conditions. The filtering logic is designed to reduce weak transitions, but it does not replace chart context, timeframe awareness, or risk management. All logic is based on confirmed bar data inside the script framework. The purpose is to organize price action more clearly, not to guarantee future market behavior.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
Pivot Channel Map [AGPro Series]Pivot Channel Map 🔹 OVERVIEW Pivot Channel Map is a structural channel engine that automatically detects and classifies market structure channels from confirmed swing pivots. It organises every qualified channel into a clear 8-family taxonomy (Major / Minor × External / Internal × Up / Down) and renders them as a living map of trend, range and reversal context. The script works on all instruments and timeframes, with a focus on intraday and swing analysis. Instead of plotting a single trendline or band, the engine maintains a continuously updated structural map: active channels, their midlines, interaction pockets around the rails, preserved broken channels, and post-break retest / reclaim signals. A compact right-corner panel summarises live channel counts, qualification state, nearest channel distance in ATR units, and the prevailing Major tilt. The goal is to give discretionary traders a moderation-safe, clutter-controlled view of where price is inside the broader structure — not to predict future prices. 🔸 UNIQUE EDGE Most channel indicators draw one or two parallel lines and call it a day. Pivot Channel Map adds structural classification, qualification, memory and post-event follow-through on top of the channel geometry: - Eight channel families instead of a single pair of rails - ATR-normalised qualification engine (Off / Balanced / Strict) to filter structurally weak channels - Broken Channel Memory that preserves invalidated structure as faded historical context - Interaction Zones (right-edge ATR pockets) around active channel rails - Post-Break Retest / Reclaim tracker that tags the first valid touch after a confirmed break - Break and React event markers on Major channels - ATR-based distance tagging in the info panel (Near / Mid / Wide / Far) The result is a richer structural read than a standard channel script, while still staying visually clean through emphasis, opacity and clutter controls. 🔹 METHODOLOGY 1. Pivot detection. A configurable Pivot Period drives ta.pivothigh and ta.pivotlow to produce confirmed swing pivots. The script then classifies each pivot into H / HH / LH / HL / LL / L roles and promotes / demotes them between Major (M*) and Minor (m*) status based on close breaks versus the current Major range. 2. Channel construction. From the classified pivot stream, eight channel families are built: - Major External Up / Down - Major Internal Up / Down - Minor External Up / Down - Minor Internal Up / Down External channels trace structural HH/LL extremes, Internal channels trace LH/HL interior swings. 3. Qualification. Each candidate channel is width-measured against ATR and span-measured in bars. The Qualification Engine (Off / Balanced / Strict) filters out structurally weak channels before they are drawn. 4. Life-cycle management. Active channels are redrawn and extended forward each bar until an origin-rail or channel-rail break is confirmed. On break, the previous structure can be preserved by Broken Channel Memory (Off / Major Only / All) with its own style and opacity. 5. Event detection. Confirmed origin-rail breaks produce BREAK events; wick-through-then-close-back moves produce REACT events on Major channels. A cooldown and an ATR-based price-distance filter prevent label clusters when price oscillates around the same rail. 6. Post-break follow-through. After a confirmed break, the script tracks the first valid touch inside a configurable window and tags it as RETEST (channel-rail break) or RECLAIM (origin-rail break). 🔸 SIGNALS & ALERTS On-chart events: - BREAK — confirmed close-based break of a Major channel rail - REACT — wick through the Major rail with a close back inside, filtered by bar cooldown and ATR distance - RETEST / RECLAIM — first valid touch of the broken rail inside the post-break window - Interaction Zone contact — visual ATR pocket around active channel rails - Channel Quick Tags (MEX / MIN / mEX / mIN, Up / Dn) — compact family labels on active channels Alert conditions (all 16 toggleable, Major alerts On by default, Minor Off by default): - Break: Major External Up / Down - React: Major External Up / Down - Break: Major Internal Up / Down - React: Major Internal Up / Down - Break: Minor External Up / Down - React: Minor External Up / Down - Break: Minor Internal Up / Down - React: Minor Internal Up / Down Message frequency is configurable (All / Once Per Bar / Once Per Bar Close). Alerts include symbol, timeframe, time zone and event description. 🔹 KEY INPUTS - Pivot Engine: Pivot Period (default 5) - Per-family Visibility: 8 Show / Delete-Previous / Color / Style / Extend / Width groups - Channel Qualification: Mode (Off / Balanced / Strict), Apply To (All / Major Only / Minor Only), ATR Length - Broken Channel Memory: Scope (Off / Major Only / All), Keep (Last 1 / Last 2), Style - Channel Midline: Show, Apply To, Scope, Style, Width, Opacity - Active Map Clarity: Line Emphasis, Base-Line Focus, Event Markers, React Cooldown, React Min Price Distance, Quick Tags, Tag Scope, Tag Size, Event / Quick Tag Vertical Offsets - Interaction Zones: Scope, Rails, Zone Width ATR, Extend Bars, Opacity, Zone Text - Post-Break Retest / Reclaim: Scope, Window Bars, Label Offset ATR - Panel: Show, Position, Font Size - Alerts: 16 per-family Break / React toggles, Alert Name, Frequency, Time Zone 🔸 HOW TO USE Getting started: 1. Apply the indicator on any symbol and timeframe. 2. Start with default settings: Qualification Off so the full structural map is visible. 3. If the chart feels busy on lower timeframes, switch Qualification to Balanced or Strict. Reading the panel: - Major Live / Minor Live — active channels per class - Nearest Channel — closest active channel, with ATR distance and Near / Mid / Wide / Far tag - Qualification — current filter mode and scope - Interaction — interaction zone scope and rails - Post-Break — tracker scope, window and prevailing Major tilt Common workflows: - Trend continuation: wait for price to hold an Active Major channel and look for a REACT at the rail inside the channel direction. - Break-and-retest: after a BREAK event, watch for the RETEST / RECLAIM label inside the Post-Break window. - Confluence: use Interaction Zones to spot where Major and Minor rails meet at the right edge of the chart. - Higher-timeframe context: open a higher timeframe tab with the same script to map macro structure around your execution timeframe. Suggested defaults: - Intraday traders: 15m–1H base TF, Balanced qualification - Swing traders: 4H–1D base TF, Balanced or Off qualification - Higher-timeframe context: 1D–1W with Qualification Off 🔹 LIMITATIONS & TRANSPARENCY - Pivot-based. Pivots require the configured number of bars to confirm, so the most recent swing always lags by Pivot Period bars. This is a structural property of confirmed pivots, not a bug. - Redraw behaviour. Active channels are extended forward each bar until a break is confirmed on close. Channel end-points can therefore adjust as new pivots qualify. - Alerts fire on confirmed conditions. Break and React alerts require barstate.isconfirmed, so intra-bar touches do not trigger alerts. - Timeframe behaviour. On very high timeframes with limited history (e.g. weekly / monthly on newer instruments), the total pivot count can be small. Keep Qualification at Off on higher timeframes to avoid over-filtering. - This is a visualisation / structure tool. It is not a trading strategy, it does not manage risk, and it does not generate buy / sell recommendations. All entries and exits are the trader’s responsibility. 🔸 RISK DISCLOSURE This script is a technical analysis tool intended for educational and analytical purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any asset. Past chart behaviour does not guarantee future results. Trading involves significant risk and can result in the loss of capital. Always do your own research, use proper risk management, and consider consulting a licensed financial advisor before making trading decisions.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
2
Value Shift Ladder [AGPro Series]Value Shift Ladder 🔹 Overview Value Shift Ladder is a market-structure mapping tool that extracts the most volume-accepted price shelves from a rolling lookback window and arranges them, in creation order, as the rungs of a ladder. Each rung is a volume-weighted zone where the market has recently spent the most time and traded the most contracts. The script then tracks how price interacts with every rung through a full Held → Broken → Reclaimed lifecycle and summarizes the entire chain into one readable ladder state: Rising, Falling, Mixed, Broken, Reclaiming, Building, or Neutral. The goal is not to predict direction and not to produce buy or sell signals. The goal is to give the chart reader a continuously updated answer to one question: where is the market's current fair-value region, how is that region moving over time, and which prior value shelves are still relevant versus which have been abandoned. This makes the tool useful as a structural reference for volume-profile readers, auction-theory traders, and anyone who builds a bias from accepted-value migration rather than from trend lines or moving averages. 🔸 Unique Edge Most volume-based tools either draw a single static profile snapshot, or plot every candidate level and leave the reader to filter. Value Shift Ladder does three things differently: Multi-shelf chronological ladder. Instead of producing one value band, the script maintains a ranked set of up to eight volume-accepted shelves and arranges them in the order they were first registered. This preserves the migration history of accepted value instead of collapsing it into one average. Proximity-gated visualization. Only shelves within a configurable ATR distance from current price are drawn on the chart, counted in the panel, and fed into the ladder direction state. Distant historical shelves exist in memory but do not clutter the chart or bias the readout — the ladder always reflects the value structure that is actually relevant to the current bar. Adaptive, confidence-aware breaks. A shelf is not broken on a single close outside its band. Young shelves are strongly protected (3.0 × ATR), maturing shelves require a medium distance (1.5 × ATR), and fully-aged shelves use the user-defined break distance. Shelves that have been re-confirmed multiple times gain a 2× confidence multiplier on top of that, preventing established value regions from being lost to a single volatility spike. 🔸 Methodology 1) Volume Profile Construction The script divides the rolling lookback window into equal price bins and distributes each bar's volume across every bin it touches, proportional to range coverage. Zero-range bars are assigned to their single bin. This produces a volume-weighted histogram of the lookback period. 2) Shelf Extraction The top-K bins by volume are selected iteratively. After each pick, the chosen bin and its ATR-neighborhood are zeroed out before the next pick, enforcing a minimum separation between shelves and preventing a single high-volume cluster from dominating every rung. Each surviving bin becomes a shelf, anchored at its bin-center price. 3) Shelf Merging and Confidence On every refresh, newly extracted shelves are checked against existing ones. If a new shelf falls within the ATR separation of an existing non-broken shelf, the existing shelf's volume is refreshed and its confidence score is incremented. Otherwise a new shelf is registered. Confidence is capped at ten and used downstream to scale break tolerance. 4) Lifecycle State Machine Each shelf carries one of three states — Held, Broken, or Reclaimed. Held flips to Broken when price closes beyond an adaptive break distance for three recent bars. Broken flips to Reclaimed when price dwells back inside the band for a user-defined number of bars. Reclaimed auto-promotes to Held once the shelf has stabilized past a short age threshold. 5) Ladder Direction Proximity-filtered active shelves are sorted by creation order. The last one, two, or three rungs are compared to produce a single state: Rising if the sequence is monotonically higher, Falling if lower, Mixed if non-monotonic, plus transient overrides for Broken, Reclaiming, Building, or Neutral conditions. 6) Pruning Stale broken shelves expire after a timeframe-aware window. A hard cap of ten active shelves is enforced, with broken shelves removed first when the cap is hit. 🔹 Signals and Alerts The script provides four deterministic state-change alerts, all tied to closed-bar transitions: — New Ladder Step Formed: fires when a new volume-accepted shelf is first registered. — Ladder Step Held: fires when an existing shelf is re-confirmed by the rolling profile. — Ladder Step Broken: fires when a held shelf transitions to broken. — Ladder Step Reclaimed: fires when a broken shelf transitions back to reclaimed. These alerts describe structural state changes inside the indicator logic. They are not trade signals and do not imply expected profitability, win rate, or directional certainty. 🔸 Key Inputs — Profile Mode (Auto / Manual): Auto derives lookback and refresh from the chart timeframe. Manual exposes both for full control. — Manual Lookback (bars): Size of the rolling window used to build the profile. — Manual Refresh Interval (bars): How often the profile is rebuilt. — Profile Resolution (bins): Number of price bins the range is divided into. — Target Shelf Count: Maximum number of shelves kept active. — Min Volume Ratio: Minimum fraction of the top-bin volume a bin must hold to qualify as a shelf. — Min Shelf Separation (ATR): Minimum ATR distance between two shelves. — Break Distance (ATR): Fully-aged break tolerance. — Reclaim Dwell Bars: Bars needed inside the band to flip Broken to Reclaimed. — Max Visible Distance (ATR): Proximity gate for drawing and counting shelves. — Display options: panel position, panel font size, on-chart label size, alerts toggle. 🔹 How to Use Value Shift Ladder is designed as a structural reference rather than a signal engine. Typical reading workflows include: — Bias framing. Read the Ladder state first. Rising or Falling indicates a one-sided migration of accepted value; Mixed indicates balance; Broken or Reclaiming highlights an active transition. — Dominant reference. The Dominant row in the panel highlights the nearest held or reclaimed shelf within two ATR of price. Use it as the closest structural reference for scenario planning, not as an execution level. — Proximity discipline. Because shelves more than the configured ATR distance away are not drawn, the ladder always reflects value structure that is currently relevant. When no shelves are visible, the market is between value regions — a context in which mean-reversion assumptions weaken. — Confluence. The tool is designed to be combined with independent confirmation such as session structure, higher-timeframe bias, or volume analysis. It is not meant to stand alone as a decision source. 🔸 Limitations and Transparency — Volume profile quality depends on the instrument's volume reporting. On symbols with unreliable or synthetic volume, shelf placement may drift. — The profile is recomputed on the close of refresh bars. Intrabar readings on the current bar can change until the bar closes; state transitions evaluate the last three bars for breaks and the reclaim-dwell window for reclaims, so fresh transitions can flip until those bars close. — On extremely illiquid sessions or instruments with frequent volatility spikes, the adaptive-break logic can delay transitions by design. This is a tradeoff in favor of stability. — Past structural behavior at a shelf does not guarantee future behavior. The tool does not forecast direction and is not a trading strategy. 🔹 Risk Disclosure This script is a structural visualization tool provided for educational and analytical purposes. It is not financial advice, not a trading strategy, and not a signal service. All trading involves risk of loss. Past market behavior is not indicative of future results. Users are fully responsible for their own trading decisions and for independently verifying the tool's behavior on their chosen instruments and timeframes before relying on it for any purpose.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
Rejection Block Quality [AGPro Series]Rejection Block Quality 🔹 OVERVIEW Rejection Block Quality is an ICT-inspired detector that identifies long-wick rejection candles at swept swing pivots and grades each block by objective quality criteria. Unlike Order Block logic — which anchors to the last opposite-direction body before displacement — a Rejection Block (RB) is born from a wick that pierces a prior swing liquidity pool and closes back inside it, with the body confirming displacement on the follow-through bar. The rectangle is drawn from the wick base to the candle body, capturing the exact zone where smart money absorbed the sweep. 🎯 UNIQUE EDGE Three design choices separate this tool from generic wick or order block indicators: • Swing-pivot sweep requirement — a rejection is only counted when price sweeps a confirmed swing high or low before the reversal close. Stand-alone wick patterns without liquidity context are filtered out. • Displacement confirmation window — the candle following the rejection must travel at least 0.6× ATR in the reversal direction, within a 1–5 bar lookahead. No displacement, no block. • Quality tiering (A / B / C) from three orthogonal factors — wick-to-body ratio, displacement magnitude, and untested freshness. An exceptional wick ratio (≥5× body) promotes a block to A tier regardless of other scores, preserving rare high-conviction rejections. 🛠️ METHODOLOGY Detection pipeline on every bar: 1. Confirm a pivot sweep using a user-configurable lookback (default 5 bars each side). 2. Check the wick-to-body ratio against a minimum threshold (default 1.8×), with the dominant wick on the sweep side. 3. Queue the candle as a pending block and wait for displacement confirmation. 4. Measure displacement as price travel from the body reference over 1 to 5 bars, normalized by ATR. 5. On confirmation, draw the RB zone from the wick base to the body, record the tier, and begin lifecycle tracking. Zone lifecycle tracks four events — test (price enters the zone), hold (price exits without a body close through the far edge), break (body close through the far edge), and near miss (price approaches within a configurable ATR band without entering). All events are edge-detected to prevent inflated counts when price lingers near a zone. 📊 SIGNALS & ALERTS • New block formation label — A / B / C tier plus wick ratio, placed with anti-collision offset. • Test markers (T) — one per zone entry event, with cooldown to prevent visual clutter. • Break markers (B) — placed when a zone is invalidated by a body close. • Wick border highlight — thick colored line on the originating rejection candle. • Alerts — configurable minimum tier (A, B, or C) fires once per bar close for each qualifying new block. ⚙️ KEY INPUTS • Detection — Pivot Length, Min Wick-to-Body Ratio, ATR Length, Min Displacement (× ATR), Displacement Confirm Window. • Zone Management — Max Active Zones per Side, Zone Right Extension, Near-Miss Distance, Near-Miss Cooldown, Break Requires Full Body Close. • Visuals — Show Zones, Show Tier Labels, Highlight Rejection Wick Border, Show Test / Hold / Break Markers, Zone Fill Opacity, Label Font Size. • Panel — Show Panel, Panel Location, Panel Font Size, Panel Theme (Dark / Light). • Alerts — Minimum Tier for Alerts. 🧭 HOW TO USE Start on a higher timeframe (4H or 1D) to identify macro RB zones, then drill down to execution timeframes for entries. Treat A-tier blocks as the highest-conviction zones, B-tier as situational, and C-tier as context-only. Combine with trend filters, higher-timeframe structure, and risk management — a Rejection Block is a zone of interest, not a standalone buy or sell signal. Use the panel statistics to evaluate how the selected symbol and timeframe have historically respected these zones before committing to them in live decision-making. ⚠️ LIMITATIONS & TRANSPARENCY This indicator is a structural detector, not a trading strategy. It does not forecast price direction, generate entry or exit orders, or calculate position sizing. The Success Rate statistic reflects how often past tests on detected zones held versus failed within the visible history — it is a descriptive metric, not a performance projection. Zone detection is historical and reactive: a block only appears after the displacement bar closes, so interpretation on live-forming bars is tentative. Performance varies by symbol, timeframe, and market regime. ⚠️ RISK DISCLOSURE Trading involves substantial risk of loss. Past behavior of any pattern does not guarantee future outcomes. Use this tool as part of a complete analytical framework that includes your own risk management, position sizing, and broader market context. Nothing in this indicator or description constitutes financial advice.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
8
Head & Shoulders Auto Detector [AGPro Series]Head & Shoulders Auto Detector 🎯 **Overview** Head & Shoulders Auto Detector is a precision pattern recognition tool that automatically identifies classic Head & Shoulders (bearish) and Inverse Head & Shoulders (bullish) reversal formations across any market and timeframe. Built from the ground up for traders who want the full lifecycle of a pattern tracked on-chart — not just a label and a line, but forming → confirmation → target/stop outcome — with a transparent, quality-scored framework that filters low-probability setups before they clutter the chart. Every pattern carries a composite quality score, a symmetry percentage, an ATR-adaptive neckline, two projection targets, and a live status label that evolves through the pattern's lifespan. 🔹 **Unique Edge** Most H&S indicators stop at detection. This one goes further: • **Full lifecycle state machine** — every pattern moves through four explicit states (Forming → Confirmed → Target Hit / Stopped / Invalidated / Expired), and the visuals update in real time at each transition. • **Dead pattern hygiene** — once a pattern fails or hits target, orphan TP and stop lines are removed, the neckline freezes at the decision bar, and the status label grays out. The chart never accumulates stale clutter. • **Quality-driven visual hierarchy** — high-quality patterns (Q≥75) are rendered with a star marker and full saturation, mid-tier patterns get standard treatment, and low-tier patterns (Q<60) fade into the background so the trader's eye is guided to what matters. • **Dual-target projection with R:R** — every confirmation displays both a classic measured-move TP1 and an extended 1.618× TP2, each labeled with the exact reward-to-risk ratio calculated at entry. • **ATR-adaptive everything** — shoulder tolerance, neckline flatness, head prominence, stop buffer, and label offsets all scale with volatility, so the same settings work across BTC 4H, gold daily, or small-cap stocks. 🔹 **Methodology** Patterns are detected from confirmed pivot highs and lows using a configurable pivot length. For a valid Head & Shoulders, three same-side pivots (Left Shoulder → Head → Right Shoulder) must satisfy: • Head extends beyond both shoulders by at least the configured ATR multiple (prominence test). • Shoulder heights differ by less than the shoulder tolerance in ATR units (symmetry test). • Two opposite-side pivots between LS-Head and Head-RS define the neckline; their vertical distance must be within the neckline tolerance. • Composite symmetry score (50% time symmetry, 50% price symmetry) must exceed the minimum threshold. Quality score combines four weighted components: • Symmetry (45%) — time + price balance between shoulders • Neckline flatness (25%) — how horizontal the neckline is • Volume profile (15%) — head-bar volume relative to shoulder average • Head prominence (15%) — how clearly the head dominates Confirmation triggers when price closes beyond the neckline level (interpolated for sloped necklines). Stop is placed at the head level plus an ATR buffer to avoid wick stop-outs. TP1 uses the standard head-to-neckline measured move; TP2 extends to 1.618× that projection. 🔹 **Signals & Alerts** Four alert events available: • **Pattern Forming** — a valid H&S or Inverse H&S structure has been detected but not yet confirmed. • **Pattern Confirmed** — close has broken the neckline; entry is live with TP/Stop drawn. • **Target Hit** — TP1 has been reached on a confirmed pattern. • **Neckline Retest** — after confirmation, price has returned to touch the neckline (common high-probability re-entry zone). 🔹 **Key Inputs** • **Pivot Length** — controls swing-point sensitivity • **Min Symmetry Score** — minimum shoulder symmetry percentage to accept a pattern (default 60, balanced) • **Neckline Tolerance (ATR)** — how sloped a neckline is allowed to be • **Shoulder Height Tolerance (ATR)** — how different the two shoulders can be • **Head Prominence (ATR)** — minimum head extension beyond shoulders • **Volume Soft Confirmation** — toggle volume influence on quality score • **TP1 Method** — Classic (horizontal neckline reference) or Measured Move (slope-aware) • **Stop Buffer (ATR)** — extra room beyond the head level (default 0.35) • **Max Pattern Lifetime** — bars after which an unconfirmed pattern expires • Full visual controls: font size, panel position, theme, zone display, label offset, color palette 🔹 **How to Use** 1. Apply the indicator to any liquid market and timeframe. 4H and higher tend to produce the most reliable formations; intraday works but expects more noise. 2. Watch for patterns labeled with a ⭐ and bright color (Q≥75) — these are the highest-confidence setups. 3. Wait for the ✓ Confirmed status to appear before entering; the ⚡ breakout marker pinpoints the exact confirmation bar. 4. Use the TP1 / TP2 R:R labels to size the trade. Stop is pre-calculated at head level + ATR buffer. 5. Monitor the panel stats over time to understand the indicator's behavior on your specific market — Win Rate, Avg Quality, and Last Signal all update live. 6. Consider combining with trend context (a bearish H&S is far more powerful at resistance in a downtrend than in the middle of a strong uptrend). 🔹 **Limitations & Transparency** • Pattern detection uses confirmed pivots, so signals appear with a natural delay equal to the Pivot Length setting. This is intrinsic to pivot-based logic, not a flaw. • Quality score and historical win rate are chart-native calculations based on the loaded history; they are descriptive, not predictive. • The script does not include multi-timeframe confluence or trend filters — these are deliberate design choices to keep the tool focused and composable with other indicators. • Volume confirmation is a soft scoring input, not a hard filter, since many crypto pairs and indices have volume data of variable reliability. • Pattern state transitions use close-based confirmation; intrabar wicks do not trigger state changes except for stop/target hits, which are high/low based as expected. 🔹 **Risk Disclosure** This indicator is an analytical tool, not a trading recommendation or financial advice. Pattern recognition describes what has formed on a chart; it does not predict future price movement with certainty. Always use proper risk management, position sizing, and confirm signals with your own analysis. Past pattern statistics shown on the panel are descriptive of the visible history and do not guarantee future performance. Trading involves substantial risk of loss.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
Adaptive Volume Concentration Levels + Volume-Price Shift BoxDescription Adaptive Volume Concentration Levels + Volume-Price Shift Box combines two powerful market analysis concepts into one streamlined tool: adaptive volume-based support and resistance mapping, and a real-time volume-price flow dashboard. The script identifies the most meaningful price zones based on where volume has concentrated over a chosen lookback range, helping highlight areas where the market has shown strong interest. At the same time, it displays a compact shift box that evaluates price, volume, VWAP, OBV, A/D behavior, and momentum to estimate whether market pressure is currently bullish, bearish, or neutral. This makes the script useful for traders who want both structural levels and contextual order-flow style bias in a single indicator. How It Works The script has two main components: -Adaptive Volume Concentration Levels It scans historical price action over a customizable lookback period. Price is divided into bins, and volume is accumulated into those bins. The script then selects the highest-volume zones and converts them into horizontal support/resistance levels. A higher timeframe option and smoothing feature can be used to reduce noise and reveal more stable levels. Levels can be displayed with custom colors, line styles, transparency, and optional percentage labels. - Volume-Price Shift Box The dashboard evaluates several internal conditions: VWAP trend and price distance from VWAP OBV trend and OBV acceleration A/D line trend Relative volume versus average volume Price momentum Weighted bullish and bearish scores are calculated from these components. The final shift score determines whether the current state is: Bullish Bearish Neutral The box then displays key readings such as shift strength, volume vs average, VWAP distance, shift duration, and OBV state. Key Features Adaptive volume-based support and resistance detection Dual SR logic for identifying important high-volume price zones Optional higher timeframe processing for cleaner structure Price smoothing to reduce noise in level calculation Customizable level count, bin density, transparency, labels, and styling Real-time shift box with bullish, bearish, or neutral bias Weighted scoring model using VWAP, OBV, A/D, volume, and momentum Shift strength readout for quick bias confirmation Shift duration tracking to show how long the current condition has persisted Clean visual layout that combines structure and flow into one script How to Use Start by applying the indicator to your chart and adjusting the level settings based on your trading style. For the volume concentration levels: Increase the lookback if you want broader, more established levels. Increase the number of bins for finer price granularity. Use the minimum volume filter to remove weaker levels. Turn on the higher timeframe option if you want more stable zones from a broader market perspective. For the shift box: Use the default settings first, then adjust sensitivity and component weights to better match your market and timeframe. Watch for bullish or bearish shifts when price approaches one of the plotted volume levels. Use the strength reading to judge whether the bias is weak or decisive. Monitor duration to see whether the current directional pressure is fresh or extended. A practical workflow is: Use the horizontal levels as reaction zones Use the box to judge whether current pressure supports continuation or rejection from those zones Combine both with your existing entry and risk management rules How It Helps How It Helps This script helps simplify decision-making by combining where price is likely to react with how price and volume are behaving right now. The volume concentration levels help traders identify: likely support and resistance potential reaction zones areas of prior market agreement or interest The shift box helps traders evaluate: whether buyers or sellers currently have control whether momentum and volume are aligned whether market pressure is strengthening or fading Used together, the tool can help with: trade location directional confirmation filtering weak setups improving timing around important price zones It is especially useful for traders who want a clearer view of both market structure and current flow conditions without cluttering the chart with multiple separate indicators. Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, trading recommendations, or an offer or solicitation to buy or sell any financial instrument. All indicator outputs, classifications (including bullish, bearish, or neutral states), and visual elements are derived from historical market data using user-defined parameters. These outputs are interpretive in nature and do not predict future market performance or guarantee any specific result. Trading financial instruments involves substantial risk, including the risk of loss exceeding initial capital. Market conditions may change rapidly due to factors outside the scope of this indicator, including but not limited to economic events, news releases, liquidity conditions, execution quality, and slippage. The developer assumes no responsibility or liability for any trading decisions, losses, or damages arising directly or indirectly from the use of this indicator. Users are solely responsible for evaluating the suitability of this tool for their own trading objectives, risk tolerance, and market conditions. Past performance, indicator behavior, or historical alignment of signals does not guarantee future results. Use of this indicator constitutes acceptance of these terms.
אינדיקטור Pine Script®
מאת ‎IndicatorEliteFlow‎