Atualizado
Auto Pattern Detector Targets Pro [MarkitTick]
💡 Markets communicate through structure. Before any breakout, before any reversal, before any continuation, price carves recognizable shapes into the chart — formations built from the tension between buying and selling pressure, repeated across instruments and timeframes with statistical consistency. Auto Pattern Detector Targets Pro is a comprehensive charting tool designed to surface these formations automatically, with breakout confirmation, measured price targets, precise stop placement, and a full suite of risk and intelligence filters that transform raw pattern recognition into structured, actionable trade setups. Rather than placing the burden of manual scanning on the analyst, this indicator monitors pivot structure continuously across the full history of the chart, identifies validated classical patterns at the moment they break out, and immediately renders entry levels, stop levels, and profit targets directly on the price pane — giving traders a complete trade plan the instant a pattern resolves. The result is a tool that serves as a vigilant, tireless pattern analyst: one that enforces objective criteria, ignores noise, and presents only the setups that meet the conditions the user specifies.
✨ Originality and Utility
● A Unified Pattern Engine, Not a Collection of Scripts
Most pattern-recognition tools available in public libraries address individual formation types in isolation — a dedicated Head and Shoulders script here, a flag detector there. This indicator unifies the detection of eighteen distinct classical patterns within a single, coherent analytical framework. Each pattern is held to the same configurable standards: minimum size thresholds, symmetry tolerances, breakout confirmation logic, volume validation, and risk-reward gating. The architecture ensures consistency across all formation types: a triangle is not evaluated more loosely than a wedge, and a Cup and Handle is not confirmed by weaker evidence than a Double Top. This uniformity is what separates a pattern engine from a collection of pattern detectors.
● Breakout Confirmation as a First-Class Citizen
Pattern identification without breakout confirmation is noise generation. This indicator treats breakout confirmation as the critical gate that separates a pending formation from an actionable event. Users can specify whether a breakout requires a candle close beyond the boundary, a full-body violation, or a wick penetration of configurable depth. Consecutive confirmation bars can be required before a pattern is accepted. The result is that every pattern displayed on the chart represents a formation that has resolved — not merely one that is forming.
● Complete Trade Plan on Every Confirmed Pattern
Every pattern that clears validation produces an immediately usable trade plan: a precisely located entry price, a stop loss that accounts for ATR-based buffer or a proportional distance from the target, and a measured price target grounded in classical measured-move methodology. No interpretation is required. The indicator does not suggest that "a breakout might occur" — it shows where to enter, where to stop out, and where the measured objective sits, with the risk-reward ratio rendered alongside each setup.
● Pro Intelligence Layer for Advanced Analysis
The indicator's advanced intelligence features represent a distinct tier of analytical depth unavailable in any comparable publicly available pattern tool. Pattern Quality Scoring, Multi-Pattern Confluence detection, Higher Timeframe Bias alignment, Neckline Strength Decay, Volume Point of Control breakout validation, Pattern Cleanliness Scoring, Cross-Pattern Conflict Warnings, Time Symmetry enforcement, Formation Speed benchmarking, Adaptive Tolerance scaling, Liquidity Sweep confirmation, and Pattern Decay timers collectively form an intelligence layer that filters out the marginal setups and highlights the high-conviction formations.
🔬 Methodology and Concepts
● Pivot-Based Pattern Recognition
All pattern detection is grounded in confirmed swing highs and swing lows — structural turning points in price that mark the anchor nodes from which pattern geometry is constructed. The indicator maintains a rolling history of confirmed pivot highs and lows, which serve as the raw material from which all eighteen pattern types are assembled. A user-configurable history depth determines how far back the pivot memory extends, allowing the engine to detect patterns that formed over extended periods without losing sight of recent structure. Pivot confirmation is enforced at the bar level: only confirmed closes contribute to pivot identification, ensuring that live-bar fluctuations do not generate premature or phantom pivots.
● Symmetry and Level Tolerance
Two foundational tolerance parameters govern how strictly pattern geometry is enforced. The symmetry tolerance controls how closely the left and right sides of symmetric patterns — such as the shoulders of a Head and Shoulders or the two peaks of a Double Top — must mirror each other in price terms. The level tolerance governs how precisely the key horizontal levels that define a pattern (the resistance peaks of a Triple Top, the support troughs of a Triple Bottom) must align. Tighter tolerances surface only geometrically precise formations; wider tolerances allow for real-world imperfection in market-produced patterns. Both tolerances can be scaled automatically with current volatility conditions when the Adaptive Tolerance feature is engaged.
● Minimum Size Validation
A pattern that forms across a two-tick range carries no analytical weight. The indicator enforces a minimum formation size expressed both as a percentage of the current price and as a multiple of the Average True Range. Both thresholds must be satisfied simultaneously, ensuring that only formations of meaningful price displacement are recognized — a critical filter for preventing the detection of micro-fluctuations that bear the shape but not the significance of classical patterns.
● Pattern Detection Scope — Eighteen Formation Types
The indicator covers the full spectrum of classical technical analysis formations. Reversal patterns in the library include: Double Top, Double Bottom, Triple Top, Triple Bottom, Head and Shoulders, and Inverted Head and Shoulders — the canonical distribution and accumulation archetypes of classical chart reading. Rounding Top and Rounding Bottom capture the gradual, curved exhaustion structures that precede momentum reversals without the sharp pivot geometry of their siblings.
Continuation patterns include: Bullish Flag and Bearish Flag, which reflect brief counter-trend consolidations within a strong directional pole; Bullish Pennant and Bearish Pennant, the converging-line variant of the flag; Ascending Triangle, Descending Triangle, and Symmetrical Triangle — the three classical triangle sub-types detected under a unified framework; Rising Wedge and Falling Wedge; Rectangle consolidations; and finally Cup and Handle and Inverted Cup and Handle, the curved rounding formations with a handle consolidation that precede breakouts.
● Breakout Identification and Confirmation Logic
Once a pattern's geometric structure is validated, the indicator monitors price in relation to the relevant breakout level — which is the neckline for reversal patterns, the trendline boundary for continuation patterns, or the horizontal resistance/support level for rectangular formations. A breakout is identified when price penetrates this level by a threshold that can be expressed either as a multiple of the ATR or as a fixed percentage of price. The confirmation layer then verifies that the penetration meets the user's specified conditions — whether that is a wick break, a close break, a full-body break, or sustained breach across multiple consecutive bars. The first bar that satisfies all confirmation conditions simultaneously is recorded as the breakout bar, and the entry price is set to the open of that bar.
● Measured Move Target Methodology
Target placement follows the measured-move principle — one of the oldest and most empirically observed regularities in technical analysis. For each pattern family, the relevant measured distance is identified: the height of the formation from its most extreme internal point to its breakout level. This distance is then projected forward from the breakout level in the direction of the resolution. For reversal patterns, the target projects the full pattern height beyond the neckline. For flag and pennant patterns, the target extends the pole move beyond the pattern's resolution point. For wedges and triangles, the base height projects from the breakout. Measured-move targets represent probabilistic price objectives grounded in the principle that the energy stored in a formation tends to be released in a magnitude proportional to the compression that preceded it.
● Stop Loss Placement
Two stop loss methodologies are available. The ATR Buffer approach places the stop at the most extreme structural point of the pattern — the opposite shoulder extreme for Head and Shoulders variants, the lowest low for bullish patterns, the highest high for bearish patterns — with an additional ATR-based cushion to absorb normal volatility and reduce stop-outs from noise. The Proportional Stop approach places the stop at a user-defined percentage of the measured target distance below the entry, allowing the risk to scale with the reward in a fixed relationship. Both approaches ensure that the stop loss is structurally grounded rather than arbitrarily set.
● Risk-Reward Ratio Validation
Before any pattern is displayed, the indicator evaluates the adjusted risk-reward ratio of the implied trade. Slippage costs in tick terms and a round-trip commission percentage are both applied to the reward before the ratio is evaluated. If the adjusted ratio falls below the user's minimum threshold, the pattern is suppressed — regardless of how clean the formation appears geometrically. This filter ensures that only patterns where the expected reward genuinely exceeds the expected risk by the required margin are surfaced.
● Volume Spike Validation
When enabled, the volume filter requires that volume at the breakout bar exceed a user-specified multiple of the rolling volume average. Breakouts accompanied by elevated volume represent higher-conviction structural moves — the market is participating decisively in the resolution of the formation. This optional filter eliminates low-participation breakouts, which have historically exhibited higher false-breakout rates across most asset classes.
● Pattern Cooldown Control
To prevent the dashboard and chart from being flooded with successive re-detections of the same structural formation, the indicator enforces a cooldown expressed as a minimum number of bars that must separate successive pattern detections. If a new pattern originates from a start index that is too close in bar-time to the previously displayed pattern, it is suppressed until the cooldown window has elapsed. This prevents repetitive labeling of minor variations on the same underlying price structure.
● Pattern Quality Score (Pro)
The Pattern Quality Score is a composite numerical rating that synthesizes multiple formation attributes into a single score reflecting the overall conviction level of the detected pattern. It draws on volume behavior, risk-reward quality, and pivot density — three distinct dimensions of pattern health — and presents the result as both a numerical value and a graphical block-bar visualization in the dashboard. A high quality score indicates that all measured dimensions of the formation align favorably; a low score signals marginal confluence even when the geometric structure is technically valid.
● Multi-Pattern Confluence Detection (Pro)
The confluence engine runs all detection functions simultaneously and counts how many distinct pattern families are simultaneously detecting valid formations on the same chart at the same moment. A confluence count of two or more indicates that multiple independent analytical frameworks are simultaneously identifying the same directional bias, which historically reflects a more structurally significant market event than a single isolated detection.
● Higher Timeframe Bias Filter (Pro)
The HTF Bias Filter retrieves the confirmed close and a smoothed average price level from a user-specified higher timeframe. A bullish bias exists on the higher timeframe when the confirmed close is above the average; a bearish bias exists when it is below. The filter can be engaged to suppress patterns whose directional implication conflicts with the dominant trend of the higher timeframe — trading with the larger trend rather than against it.
● Neckline Strength Decay (Pro)
The neckline strength feature tracks how many times price approached the key breakout level within the pattern's formation window. Each touch of the level before a confirmed breakout incrementally weakens the structural support or resistance that level represents — a widely observed phenomenon in classical charting theory. The dashboard displays a score that reflects the remaining strength of the neckline at the time of breakout, offering context on whether the breach occurred through a still-strong level or through an already-exhausted one.
● Volume Point of Control Breakout Check (Pro)
The Volume Point of Control (Volume POC) feature identifies the approximate price level within the pattern formation window that attracted the greatest aggregate volume. This level represents the most contested price in the formation — the gravitational center of traded activity during the pattern's lifespan. The indicator then evaluates whether the breakout close occurred above or below this level, providing an additional structural confirming factor: a breakout that also clears the volume-weighted center of the formation is exhibiting a more decisive directional commitment than one that has not yet cleared this level.
● Pattern Cleanliness Score (Pro)
The cleanliness score measures how tightly price tracked the pattern's structural trendlines throughout the formation window. A clean pattern is one where price repeatedly tested and respected the bounding lines with minimal deviation; a messy pattern is one where price wandered broadly within the formation without clear adherence to the structural boundaries. The score is expressed on a zero-to-one-hundred scale and displayed in the dashboard, allowing analysts to distinguish geometrically crisp formations — which tend to produce sharper, more decisive breakouts — from loosely structured ones.
● Cross-Pattern Conflict Warning (Pro)
When both a bullish and a bearish pattern are simultaneously detected within a recent window, the conflict detector flags this condition in the dashboard. Simultaneous opposing signals from independent pattern families indicate structural indecision — a market that is simultaneously presenting buyers and sellers with evidence supporting their respective biases. Analysts can use this flag as a caution signal, deferring entry until directional resolution becomes clear.
● Time Symmetry Filter (Pro)
Price symmetry is the most visible characteristic of classical patterns, but temporal symmetry — the balance of bar-count between the left and right sides of a formation — is a less commonly enforced constraint that adds structural rigor to pattern validation. When enabled, the time symmetry filter requires that the bar-count distance between the anchor points of symmetric patterns falls within a configurable tolerance. This eliminates formations where the price symmetry is visually acceptable but the time distribution between the two sides is grossly unequal, a characteristic that often indicates a structurally weaker formation.
● Formation Speed Score (Pro)
The formation speed feature tracks the average bar-count duration of each pattern type that has been detected historically during the session, and compares the current formation's length against this running average. A pattern that forms unusually quickly may indicate a high-energy, compressed structure with greater potential energy at breakout; one that forms unusually slowly may signal a formation losing momentum. The speed score is presented relative to the historical average for that specific pattern type, providing a normalized benchmark rather than an absolute bar count.
● Adaptive Tolerance Scaling (Pro)
Market volatility is not constant, and fixed symmetry and level tolerances that work well in low-volatility conditions may be too tight during high-volatility regimes, causing valid patterns to be rejected. The adaptive tolerance feature automatically scales both symmetry and level tolerance in proportion to the current ATR percentile rank relative to recent history. In high-volatility conditions, tolerances widen to accommodate the greater natural variation in price swings; in low-volatility conditions, they tighten to maintain standard rigor. This allows the indicator to function consistently across varying market conditions without manual recalibration.
● Liquidity Sweep Confirmation (Pro)
The liquidity sweep filter — applicable specifically to Double Top and Double Bottom formations — requires that a wick-based stop-hunt occurred beyond the second swing point before the pattern is confirmed. A liquidity sweep is identified when price briefly violates the first swing's level via a wick and then closes back inside, exhibiting the stop-hunting behavior that precedes many genuine reversals in liquid markets. This filter is designed to exclude the subset of Double Top and Bottom formations where the second swing merely touches the first without the characteristic stop-hunt dynamics that characterize the most reliable instances of these patterns.
● Pattern Decay Timer (Pro)
Patterns do not remain valid indefinitely after their formation completes. An un-triggered pattern whose breakout zone has not yet been challenged by price after a significant number of bars may represent a stale setup where the structural energy that created the formation has dissipated. The decay timer counts down from a baseline duration — expressed as a multiple of the pattern's own average formation length — and displays the remaining valid bars in the dashboard. When the countdown expires, the pattern is flagged as stale.
🎨 Visual Guide
● Pattern Boundary Lines
Each confirmed pattern is rendered directly on the price pane with lines delineating its structural boundaries. For patterns defined by two converging or diverging trendlines — flags, pennants, wedges, and triangles — an upper and a lower boundary line are drawn from the formation's start to its breakout bar. For patterns defined by horizontal levels — rectangles — two flat horizontal lines mark the resistance and support zones. For reversal patterns defined by a neckline — Head and Shoulders, Double and Triple formations, Cups — the neckline is rendered as a line extending from its anchor points to the breakout. Lines are colored according to the pattern's directional implication: the bullish color for patterns that broke upward, the bearish color for patterns that broke downward. Line colors are fully user-configurable.
● Pattern Fill
The interior of each pattern's bounded region is filled with a semi-transparent color that mirrors the line color, creating a visually distinct zone on the chart. The fill transparency is user-configurable and defaults to a high transparency level to avoid obscuring the underlying price action. When the Gradient Fill option is enabled, the fill is rendered with an additional transparency layer, producing a softer visual that many analysts prefer for a less cluttered chart.
● Center Pattern Label
A text label identifying the pattern by name is placed at the geometric center of the formation — midway between the start and breakout bars, and midway between the upper and lower boundary levels. The label uses white text on a transparent background to remain readable without obstructing the price action. When the Pattern Status Icons feature is enabled, a formation status icon precedes the pattern name. Label size is user-configurable between small, normal, and large.
● Entry, Stop, and Target Lines
When measured targets are enabled, three horizontal dashed lines are drawn to the right of the breakout bar: an entry line at the price level where the trade would be initiated (the open of the breakout confirmation bar), a stop line at the calculated stop loss level, and a target line at the measured move objective. Each line extends rightward by fifty bars and is followed by a label reading the price level numerically alongside the pattern name and — in the case of the target label — the adjusted risk-reward ratio of the setup. Entry, stop, and target line colors are individually configurable, allowing users to create visually distinct representations that suit their workflow.
● Multiple Take-Profit Levels (Pro)
When Multiple TP Levels are enabled, the single target line is replaced by three dotted take-profit lines labeled TP1, TP2, and TP3. Each is positioned at a user-defined percentage of the measured target distance from the entry: TP1 typically represents the conservative partial-exit level, TP2 the full measured move, and TP3 the extended projection beyond the standard objective. Each take-profit level is rendered in a distinct color — cyan for TP1, green for TP2, and yellow-green for TP3 — to provide immediate visual differentiation.
● Breakeven Line (Pro)
The breakeven automation feature monitors for TP1 being reached while a pattern is active. When TP1 is hit, a dashed yellow line appears at the entry price level and extends forward in time, accompanied by a label reading "Move SL to BE." This serves as a visual prompt for traders who employ a breakeven stop-loss management strategy — the line persists and updates its right endpoint on every subsequent bar, remaining visible as long as the pattern is active.
● Risk Zone Visual (Pro)
The risk zone visualization renders a semi-transparent filled rectangle spanning the space between the entry price and the stop loss price, extending from the breakout bar to the target projection area. This box immediately conveys the exact magnitude of capital at risk in the setup and provides a visual reference for the relationship between the risk zone and subsequent price action. The fill color of the risk zone mirrors the stop line color at a high transparency level.
● Pattern History Dashboard
A compact two-column table in the upper-right corner of the chart provides a real-time summary of the most recently detected pattern. The dashboard reports the pattern name and its directional bias, the bars elapsed since detection, entry and stop prices, the adjusted risk-reward ratio, a volume strength score visualized as a block-bar progress indicator, and pivot count. When Pro features are enabled, the dashboard expands to include the Pattern Quality Score, HTF bias status, current ATR percentage, session filter status, and confluence count. When Extended Multi-Pattern Dashboard is enabled, a Recent Patterns section appears at the bottom of the table, logging the five most recently detected patterns with their formation status. The Advanced Intelligence section surfaces Neckline Strength, Volume POC status, Cleanliness Score, Cross-Pattern Conflict status, Formation Speed, and Decay Timer readings when their respective features are active.
● Pattern Heatmap Table (Pro)
The heatmap table provides a visual measure of pattern density and Quality Score context in a graphical block-bar format. The heatmap score reflects the concentration of recent price action in the formation window, offering an at-a-glance reading of how structurally active the market has been in recent bars.
● Pattern Replay Mode (Pro)
The Pattern Replay Mode feature allows analysts to simulate viewing the chart from a historical vantage point by applying a user-specified bar offset to all detection logic. By stepping backward through bars, users can observe how the indicator would have behaved at specific points in the past — a valuable tool for studying pattern behavior, validating setup quality in hindsight, and developing familiarity with the indicator's detection characteristics on a specific instrument.
● Candle-Level Coloring for Extended Indicators
The bullish and neutral/bearish colors defined in the Colors group also influence the text coloring of dashboard labels and pattern labels rendered on the chart, creating a coherent, unified color scheme that allows bullish and bearish patterns to be instantly differentiated at a glance.
📖 How to Use
● Step 1 — Configuring the Core Parameters
Begin by setting the General parameters. The Pattern Cooldown determines how many bars must pass before the indicator can display a new pattern, preventing chart clutter from near-simultaneous detections. Symmetry and Level Tolerances control how precisely pattern geometry must conform to ideal proportions — start with the defaults and tighten them if you find the indicator surfacing formations you consider too loose geometrically. The Minimum Pattern Size settings ensure you are only seeing formations of meaningful magnitude relative to current price and volatility.
● Step 2 — Selecting the Patterns to Scan
The Patterns group contains individual toggles for each of the eighteen formation types. Enable all patterns to begin with a full-spectrum scan, then disable specific families if your strategy does not trade them. For example, traders who focus exclusively on continuation setups may wish to disable the reversal pattern families and vice versa.
● Step 3 — Configuring Pivot Sensitivity
The Pivot Lookback Left and Right settings control how many bars on each side of a candidate swing point must confirm it as a local extreme. Longer lookbacks produce fewer, more significant pivots that form the anchor nodes of larger, more mature patterns. Shorter lookbacks are more sensitive and will detect smaller formations. The Max Pivots to Remember setting governs how deep the historical pivot buffer extends — a larger buffer allows the detection of formations that developed over longer periods.
● Step 4 — Setting Breakout Confirmation Criteria
The Filters group provides the breakout confirmation framework. Decide whether your strategy requires a wick break, a candle close, or a full-body break for confirmation. Set the ATR or percentage threshold for the breakout margin. If you require multiple consecutive bars of confirmation before accepting a breakout, set the Confirmation Bars value accordingly. Enable the Volume Spike filter if your strategy demands volume participation at the breakout. Set the Minimum Risk:Reward Ratio to suppress setups that do not meet your expected value criteria before they ever appear on the chart.
● Step 5 — Interpreting Active Patterns
When a pattern is displayed on the chart, the dashed lines to the right of the breakout bar define the full trade plan. The entry line represents the price at which the bar following the confirmation opened — the entry point if trading the breakout. The stop line shows where the indicator places the structural stop, with your configured buffer applied. The target line shows the measured-move objective. The R:R label adjacent to the target line reflects the ratio after slippage and commission deductions, giving you the net expected risk-reward rather than the gross.
● Step 6 — Using the Dashboard for Context
The upper-right dashboard should be reviewed alongside any active pattern. Volume score and pivot density provide complementary context on the structural richness of the current chart state. Bar elapsed since detection tells you how long the setup has been active without resolution. The Risk-Reward score in the dashboard mirrors the chart label but provides a reference without needing to scroll.
● Step 7 — Enabling Pro Intelligence Features
For analysts seeking additional confirmation layers, the Pro feature groups provide the Pattern Quality Score, HTF Bias alignment, and Confluence Count as primary gatekeeping tools. Enable HTF Bias to ensure that the directional implication of a detected pattern aligns with the trend on a higher timeframe. Use Confluence Count as an additional conviction filter — setups where multiple pattern families simultaneously point in the same direction are inherently more structurally supported than single-pattern detections. Use Pattern Quality Score to compare the relative quality of multiple active setups on different instruments or timeframes.
● Step 8 — Configuring Alerts
Enable alerts in the Alerts group to receive notifications when patterns confirm. With Smart Detailed Alerts enabled, each alert message contains the full trade plan: pattern name, bias, entry, stop, target, risk-reward, position size if that feature is active, and confluence count. The Pre-Breakout Alert provides advance warning when price is approaching the entry zone but has not yet confirmed, allowing preparation without requiring constant chart monitoring.
● Step 9 — Managing Multiple Patterns
The Max Patterns Displayed setting governs how many historical confirmed patterns remain visible on the chart simultaneously. A setting of one shows only the most recently confirmed formation, keeping the chart uncluttered. Higher values allow a history of recent setups to remain visible — useful for studying how the indicator performed across recent market structure without switching timeframes.
⚙️ Inputs and Settings
● General
● Patterns
● Pivot
● Filters
● Visuals
● Colors
● 💎 Pro — Pattern Intelligence
● 💎 Pro — Dashboard+
● 💎 Pro — Alerts
● 💎 Pro — Trade Tools
● 💎 Pro — Filters+
● 💎 Pro — Visuals+
● 💎 Pro — Advanced Intelligence
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Classical Chart Pattern Theory
The foundational theoretical basis of this indicator is the classical technical analysis literature codified in the early twentieth century, most comprehensively articulated in Robert D. Edwards and John Magee's foundational work on stock price behavior and chart patterns. The formations detected by this indicator — Head and Shoulders, Double and Triple Tops and Bottoms, Flags, Pennants, Wedges, Triangles, and Rectangles — represent the core pattern vocabulary of this tradition, each interpreted as a graphical representation of a specific competitive dynamic between supply and demand. The measured-move principle for price target determination, which projects the pattern height forward from the breakout level, is among the oldest documented price-projection heuristics in the technical literature and remains one of the most empirically cited.
● Pivot Structure and Market Microstructure
The use of confirmed swing highs and lows as anchor nodes is consistent with the structural market analysis frameworks introduced by Charles Dow and later formalized in terms of swing analysis by W. D. Gann. In contemporary market microstructure research, the significance of price pivots as informational nodes — points where the balance of order flow reversed — is reflected in bid-ask bounce literature and in the empirical documentation of support and resistance behavior at historical swing points. Ralph Nelson Elliott's wave principle, while not explicitly replicated in this indicator's detection logic, informs the broader theoretical context for why repeating structural sequences appear in price series with statistical frequency.
● Breakout Dynamics and Confirmation Theory
The breakout confirmation framework reflects a body of academic and practitioner research on the reliability differential between confirmed and unconfirmed breakouts. Work by economists including Brock, Lakonishok, and LeBaron examining the statistical properties of technical trading rules documented that breakout signals, particularly those from pattern completions, exhibit statistically significant predictive content when evaluated with appropriate confirmation criteria. The volume confirmation requirement references Granville's foundational work on volume as a leading indicator of price commitment — a principle subsequently examined in academic settings by Blume, Easley, and O'Hara's work on the informational content of trading volume.
● Risk-Reward Framework and Post-Modern Portfolio Theory
The indicator's emphasis on pre-trade risk-reward evaluation reflects the Post-Modern Portfolio Theory (PMPT) framework developed by Fishburn, Sortino, and Price, which characterizes risk as downside deviation from a threshold return rather than symmetric variance. The risk-reward ratio with explicit slippage and commission adjustment reflects the trade-level expected value analysis that forms the basis of Kelly Criterion position sizing theory — the work of John L. Kelly Jr. at Bell Labs subsequently extended to trading applications by Ed Thorp and others. The position sizing calculator within the Pro feature set implements a fixed-fractional risk model consistent with the risk-of-ruin optimization principles described in Ralph Vince's work on optimal f and portfolio management for traders.
● Volume-Weighted Price Level Analysis and the Point of Control
The Volume POC Breakout Check is conceptually grounded in Market Profile theory, originally developed by J. Peter Steidlmayer in collaboration with the Chicago Board of Trade in the 1980s and subsequently extended by James Dalton and others. Market Profile theory posits that the price level attracting the greatest cumulative volume within a defined time window represents the fair value area where the greatest consensus between buyers and sellers existed — the Point of Control. The indicator's approximate POC estimation within the pattern formation window applies this principle at the level of individual formations, providing a volume-informed view of whether the breakout is clearing the contested center of the formation's price distribution.
● Volatility Normalization and Adaptive Signal Filters
The ATR Percentile Volatility Filter and the Adaptive Tolerance feature both reflect the academic recognition that technical signal parameters calibrated to a fixed volatility regime produce non-stationary results when market volatility shifts. Merton's option pricing extensions and subsequent work on realized volatility by Andersen, Bollerslev, Diebold, and Labys demonstrated that volatility is itself a stochastic and persistent process. Regime-adaptive signal filtering — adjusting sensitivity to current volatility rather than applying fixed thresholds — reflects the practitioner response to this theoretical insight, documented across a range of quantitative trading research.
● Higher Timeframe Confirmation and Multi-Timeframe Confluence
The HTF Bias Filter reflects the principle of multi-timeframe confirmation, a concept with deep roots in Dow Theory's distinction between primary, secondary, and minor trends. Contemporary empirical work in technical analysis research — including studies published in the Journal of Technical Analysis — has documented that short-timeframe trading signals aligned with the directional bias of higher timeframes exhibit improved win rates relative to counter-trend signals. The Multi-Pattern Confluence feature similarly reflects the principle of confirmation through independent evidence: the simultaneous convergence of multiple independent analytical signals reduces the probability that any single detection is a false positive.
● Time Symmetry and Pattern Morphology
The Time Symmetry Filter draws on pattern morphology research suggesting that geometrically balanced formations — those exhibiting approximate equivalence in the time dimension as well as the price dimension — exhibit more stable post-breakout characteristics than asymmetric formations. This principle is related to the broader concept of fractality in price series first mathematically explored by Benoit Mandelbrot in the context of financial markets, and subsequently applied to trading by practitioners including Bryce Gilmore and Larry Pesavento, who documented harmonic proportionality in time as a complement to harmonic proportionality in price.
● Liquidity Dynamics and Stop-Hunting Behavior
The Liquidity Sweep Confirmation feature reflects the contemporary understanding of liquidity dynamics in electronic order-driven markets. Research by economists including Albert Kyle and subsequent market microstructure work on order flow imbalances has documented that price frequently overshoots key levels before reversing — a behavior that reflects the harvesting of stop-loss orders clustered beyond visible swing points. The liquidity sweep pre-condition for Double Top and Bottom confirmation operationalizes this insight: requiring evidence that the market has already hunted the stops beyond the second swing before confirming the reversal increases the probability that the subsequent move is driven by genuine directional order flow rather than residual speculative interest.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only. Nothing contained in this tool or its associated materials constitutes financial, investment, legal, or tax advice, and no information presented should be construed as a recommendation to buy, sell, or hold any financial instrument or to engage in any specific trading or investment strategy. Past performance of any pattern, signal, or methodology illustrated by this indicator is not indicative of future results. All trading involves risk. Markets can and do move against technical patterns, and no indicator or analytical system can guarantee profitable outcomes. Users are solely responsible for all trading decisions and outcomes. We expressly disclaim all liability for any direct, indirect, incidental, special, or consequential losses or damages arising from the use of, or reliance upon, this indicator or any information derived from it. Before trading any financial instrument, users should seek independent financial advice appropriate to their individual circumstances.
✨ Originality and Utility
● A Unified Pattern Engine, Not a Collection of Scripts
Most pattern-recognition tools available in public libraries address individual formation types in isolation — a dedicated Head and Shoulders script here, a flag detector there. This indicator unifies the detection of eighteen distinct classical patterns within a single, coherent analytical framework. Each pattern is held to the same configurable standards: minimum size thresholds, symmetry tolerances, breakout confirmation logic, volume validation, and risk-reward gating. The architecture ensures consistency across all formation types: a triangle is not evaluated more loosely than a wedge, and a Cup and Handle is not confirmed by weaker evidence than a Double Top. This uniformity is what separates a pattern engine from a collection of pattern detectors.
● Breakout Confirmation as a First-Class Citizen
Pattern identification without breakout confirmation is noise generation. This indicator treats breakout confirmation as the critical gate that separates a pending formation from an actionable event. Users can specify whether a breakout requires a candle close beyond the boundary, a full-body violation, or a wick penetration of configurable depth. Consecutive confirmation bars can be required before a pattern is accepted. The result is that every pattern displayed on the chart represents a formation that has resolved — not merely one that is forming.
● Complete Trade Plan on Every Confirmed Pattern
Every pattern that clears validation produces an immediately usable trade plan: a precisely located entry price, a stop loss that accounts for ATR-based buffer or a proportional distance from the target, and a measured price target grounded in classical measured-move methodology. No interpretation is required. The indicator does not suggest that "a breakout might occur" — it shows where to enter, where to stop out, and where the measured objective sits, with the risk-reward ratio rendered alongside each setup.
● Pro Intelligence Layer for Advanced Analysis
The indicator's advanced intelligence features represent a distinct tier of analytical depth unavailable in any comparable publicly available pattern tool. Pattern Quality Scoring, Multi-Pattern Confluence detection, Higher Timeframe Bias alignment, Neckline Strength Decay, Volume Point of Control breakout validation, Pattern Cleanliness Scoring, Cross-Pattern Conflict Warnings, Time Symmetry enforcement, Formation Speed benchmarking, Adaptive Tolerance scaling, Liquidity Sweep confirmation, and Pattern Decay timers collectively form an intelligence layer that filters out the marginal setups and highlights the high-conviction formations.
🔬 Methodology and Concepts
● Pivot-Based Pattern Recognition
All pattern detection is grounded in confirmed swing highs and swing lows — structural turning points in price that mark the anchor nodes from which pattern geometry is constructed. The indicator maintains a rolling history of confirmed pivot highs and lows, which serve as the raw material from which all eighteen pattern types are assembled. A user-configurable history depth determines how far back the pivot memory extends, allowing the engine to detect patterns that formed over extended periods without losing sight of recent structure. Pivot confirmation is enforced at the bar level: only confirmed closes contribute to pivot identification, ensuring that live-bar fluctuations do not generate premature or phantom pivots.
● Symmetry and Level Tolerance
Two foundational tolerance parameters govern how strictly pattern geometry is enforced. The symmetry tolerance controls how closely the left and right sides of symmetric patterns — such as the shoulders of a Head and Shoulders or the two peaks of a Double Top — must mirror each other in price terms. The level tolerance governs how precisely the key horizontal levels that define a pattern (the resistance peaks of a Triple Top, the support troughs of a Triple Bottom) must align. Tighter tolerances surface only geometrically precise formations; wider tolerances allow for real-world imperfection in market-produced patterns. Both tolerances can be scaled automatically with current volatility conditions when the Adaptive Tolerance feature is engaged.
● Minimum Size Validation
A pattern that forms across a two-tick range carries no analytical weight. The indicator enforces a minimum formation size expressed both as a percentage of the current price and as a multiple of the Average True Range. Both thresholds must be satisfied simultaneously, ensuring that only formations of meaningful price displacement are recognized — a critical filter for preventing the detection of micro-fluctuations that bear the shape but not the significance of classical patterns.
● Pattern Detection Scope — Eighteen Formation Types
The indicator covers the full spectrum of classical technical analysis formations. Reversal patterns in the library include: Double Top, Double Bottom, Triple Top, Triple Bottom, Head and Shoulders, and Inverted Head and Shoulders — the canonical distribution and accumulation archetypes of classical chart reading. Rounding Top and Rounding Bottom capture the gradual, curved exhaustion structures that precede momentum reversals without the sharp pivot geometry of their siblings.
Continuation patterns include: Bullish Flag and Bearish Flag, which reflect brief counter-trend consolidations within a strong directional pole; Bullish Pennant and Bearish Pennant, the converging-line variant of the flag; Ascending Triangle, Descending Triangle, and Symmetrical Triangle — the three classical triangle sub-types detected under a unified framework; Rising Wedge and Falling Wedge; Rectangle consolidations; and finally Cup and Handle and Inverted Cup and Handle, the curved rounding formations with a handle consolidation that precede breakouts.
● Breakout Identification and Confirmation Logic
Once a pattern's geometric structure is validated, the indicator monitors price in relation to the relevant breakout level — which is the neckline for reversal patterns, the trendline boundary for continuation patterns, or the horizontal resistance/support level for rectangular formations. A breakout is identified when price penetrates this level by a threshold that can be expressed either as a multiple of the ATR or as a fixed percentage of price. The confirmation layer then verifies that the penetration meets the user's specified conditions — whether that is a wick break, a close break, a full-body break, or sustained breach across multiple consecutive bars. The first bar that satisfies all confirmation conditions simultaneously is recorded as the breakout bar, and the entry price is set to the open of that bar.
● Measured Move Target Methodology
Target placement follows the measured-move principle — one of the oldest and most empirically observed regularities in technical analysis. For each pattern family, the relevant measured distance is identified: the height of the formation from its most extreme internal point to its breakout level. This distance is then projected forward from the breakout level in the direction of the resolution. For reversal patterns, the target projects the full pattern height beyond the neckline. For flag and pennant patterns, the target extends the pole move beyond the pattern's resolution point. For wedges and triangles, the base height projects from the breakout. Measured-move targets represent probabilistic price objectives grounded in the principle that the energy stored in a formation tends to be released in a magnitude proportional to the compression that preceded it.
● Stop Loss Placement
Two stop loss methodologies are available. The ATR Buffer approach places the stop at the most extreme structural point of the pattern — the opposite shoulder extreme for Head and Shoulders variants, the lowest low for bullish patterns, the highest high for bearish patterns — with an additional ATR-based cushion to absorb normal volatility and reduce stop-outs from noise. The Proportional Stop approach places the stop at a user-defined percentage of the measured target distance below the entry, allowing the risk to scale with the reward in a fixed relationship. Both approaches ensure that the stop loss is structurally grounded rather than arbitrarily set.
● Risk-Reward Ratio Validation
Before any pattern is displayed, the indicator evaluates the adjusted risk-reward ratio of the implied trade. Slippage costs in tick terms and a round-trip commission percentage are both applied to the reward before the ratio is evaluated. If the adjusted ratio falls below the user's minimum threshold, the pattern is suppressed — regardless of how clean the formation appears geometrically. This filter ensures that only patterns where the expected reward genuinely exceeds the expected risk by the required margin are surfaced.
● Volume Spike Validation
When enabled, the volume filter requires that volume at the breakout bar exceed a user-specified multiple of the rolling volume average. Breakouts accompanied by elevated volume represent higher-conviction structural moves — the market is participating decisively in the resolution of the formation. This optional filter eliminates low-participation breakouts, which have historically exhibited higher false-breakout rates across most asset classes.
● Pattern Cooldown Control
To prevent the dashboard and chart from being flooded with successive re-detections of the same structural formation, the indicator enforces a cooldown expressed as a minimum number of bars that must separate successive pattern detections. If a new pattern originates from a start index that is too close in bar-time to the previously displayed pattern, it is suppressed until the cooldown window has elapsed. This prevents repetitive labeling of minor variations on the same underlying price structure.
● Pattern Quality Score (Pro)
The Pattern Quality Score is a composite numerical rating that synthesizes multiple formation attributes into a single score reflecting the overall conviction level of the detected pattern. It draws on volume behavior, risk-reward quality, and pivot density — three distinct dimensions of pattern health — and presents the result as both a numerical value and a graphical block-bar visualization in the dashboard. A high quality score indicates that all measured dimensions of the formation align favorably; a low score signals marginal confluence even when the geometric structure is technically valid.
● Multi-Pattern Confluence Detection (Pro)
The confluence engine runs all detection functions simultaneously and counts how many distinct pattern families are simultaneously detecting valid formations on the same chart at the same moment. A confluence count of two or more indicates that multiple independent analytical frameworks are simultaneously identifying the same directional bias, which historically reflects a more structurally significant market event than a single isolated detection.
● Higher Timeframe Bias Filter (Pro)
The HTF Bias Filter retrieves the confirmed close and a smoothed average price level from a user-specified higher timeframe. A bullish bias exists on the higher timeframe when the confirmed close is above the average; a bearish bias exists when it is below. The filter can be engaged to suppress patterns whose directional implication conflicts with the dominant trend of the higher timeframe — trading with the larger trend rather than against it.
● Neckline Strength Decay (Pro)
The neckline strength feature tracks how many times price approached the key breakout level within the pattern's formation window. Each touch of the level before a confirmed breakout incrementally weakens the structural support or resistance that level represents — a widely observed phenomenon in classical charting theory. The dashboard displays a score that reflects the remaining strength of the neckline at the time of breakout, offering context on whether the breach occurred through a still-strong level or through an already-exhausted one.
● Volume Point of Control Breakout Check (Pro)
The Volume Point of Control (Volume POC) feature identifies the approximate price level within the pattern formation window that attracted the greatest aggregate volume. This level represents the most contested price in the formation — the gravitational center of traded activity during the pattern's lifespan. The indicator then evaluates whether the breakout close occurred above or below this level, providing an additional structural confirming factor: a breakout that also clears the volume-weighted center of the formation is exhibiting a more decisive directional commitment than one that has not yet cleared this level.
● Pattern Cleanliness Score (Pro)
The cleanliness score measures how tightly price tracked the pattern's structural trendlines throughout the formation window. A clean pattern is one where price repeatedly tested and respected the bounding lines with minimal deviation; a messy pattern is one where price wandered broadly within the formation without clear adherence to the structural boundaries. The score is expressed on a zero-to-one-hundred scale and displayed in the dashboard, allowing analysts to distinguish geometrically crisp formations — which tend to produce sharper, more decisive breakouts — from loosely structured ones.
● Cross-Pattern Conflict Warning (Pro)
When both a bullish and a bearish pattern are simultaneously detected within a recent window, the conflict detector flags this condition in the dashboard. Simultaneous opposing signals from independent pattern families indicate structural indecision — a market that is simultaneously presenting buyers and sellers with evidence supporting their respective biases. Analysts can use this flag as a caution signal, deferring entry until directional resolution becomes clear.
● Time Symmetry Filter (Pro)
Price symmetry is the most visible characteristic of classical patterns, but temporal symmetry — the balance of bar-count between the left and right sides of a formation — is a less commonly enforced constraint that adds structural rigor to pattern validation. When enabled, the time symmetry filter requires that the bar-count distance between the anchor points of symmetric patterns falls within a configurable tolerance. This eliminates formations where the price symmetry is visually acceptable but the time distribution between the two sides is grossly unequal, a characteristic that often indicates a structurally weaker formation.
● Formation Speed Score (Pro)
The formation speed feature tracks the average bar-count duration of each pattern type that has been detected historically during the session, and compares the current formation's length against this running average. A pattern that forms unusually quickly may indicate a high-energy, compressed structure with greater potential energy at breakout; one that forms unusually slowly may signal a formation losing momentum. The speed score is presented relative to the historical average for that specific pattern type, providing a normalized benchmark rather than an absolute bar count.
● Adaptive Tolerance Scaling (Pro)
Market volatility is not constant, and fixed symmetry and level tolerances that work well in low-volatility conditions may be too tight during high-volatility regimes, causing valid patterns to be rejected. The adaptive tolerance feature automatically scales both symmetry and level tolerance in proportion to the current ATR percentile rank relative to recent history. In high-volatility conditions, tolerances widen to accommodate the greater natural variation in price swings; in low-volatility conditions, they tighten to maintain standard rigor. This allows the indicator to function consistently across varying market conditions without manual recalibration.
● Liquidity Sweep Confirmation (Pro)
The liquidity sweep filter — applicable specifically to Double Top and Double Bottom formations — requires that a wick-based stop-hunt occurred beyond the second swing point before the pattern is confirmed. A liquidity sweep is identified when price briefly violates the first swing's level via a wick and then closes back inside, exhibiting the stop-hunting behavior that precedes many genuine reversals in liquid markets. This filter is designed to exclude the subset of Double Top and Bottom formations where the second swing merely touches the first without the characteristic stop-hunt dynamics that characterize the most reliable instances of these patterns.
● Pattern Decay Timer (Pro)
Patterns do not remain valid indefinitely after their formation completes. An un-triggered pattern whose breakout zone has not yet been challenged by price after a significant number of bars may represent a stale setup where the structural energy that created the formation has dissipated. The decay timer counts down from a baseline duration — expressed as a multiple of the pattern's own average formation length — and displays the remaining valid bars in the dashboard. When the countdown expires, the pattern is flagged as stale.
🎨 Visual Guide
● Pattern Boundary Lines
Each confirmed pattern is rendered directly on the price pane with lines delineating its structural boundaries. For patterns defined by two converging or diverging trendlines — flags, pennants, wedges, and triangles — an upper and a lower boundary line are drawn from the formation's start to its breakout bar. For patterns defined by horizontal levels — rectangles — two flat horizontal lines mark the resistance and support zones. For reversal patterns defined by a neckline — Head and Shoulders, Double and Triple formations, Cups — the neckline is rendered as a line extending from its anchor points to the breakout. Lines are colored according to the pattern's directional implication: the bullish color for patterns that broke upward, the bearish color for patterns that broke downward. Line colors are fully user-configurable.
● Pattern Fill
The interior of each pattern's bounded region is filled with a semi-transparent color that mirrors the line color, creating a visually distinct zone on the chart. The fill transparency is user-configurable and defaults to a high transparency level to avoid obscuring the underlying price action. When the Gradient Fill option is enabled, the fill is rendered with an additional transparency layer, producing a softer visual that many analysts prefer for a less cluttered chart.
● Center Pattern Label
A text label identifying the pattern by name is placed at the geometric center of the formation — midway between the start and breakout bars, and midway between the upper and lower boundary levels. The label uses white text on a transparent background to remain readable without obstructing the price action. When the Pattern Status Icons feature is enabled, a formation status icon precedes the pattern name. Label size is user-configurable between small, normal, and large.
● Entry, Stop, and Target Lines
When measured targets are enabled, three horizontal dashed lines are drawn to the right of the breakout bar: an entry line at the price level where the trade would be initiated (the open of the breakout confirmation bar), a stop line at the calculated stop loss level, and a target line at the measured move objective. Each line extends rightward by fifty bars and is followed by a label reading the price level numerically alongside the pattern name and — in the case of the target label — the adjusted risk-reward ratio of the setup. Entry, stop, and target line colors are individually configurable, allowing users to create visually distinct representations that suit their workflow.
● Multiple Take-Profit Levels (Pro)
When Multiple TP Levels are enabled, the single target line is replaced by three dotted take-profit lines labeled TP1, TP2, and TP3. Each is positioned at a user-defined percentage of the measured target distance from the entry: TP1 typically represents the conservative partial-exit level, TP2 the full measured move, and TP3 the extended projection beyond the standard objective. Each take-profit level is rendered in a distinct color — cyan for TP1, green for TP2, and yellow-green for TP3 — to provide immediate visual differentiation.
● Breakeven Line (Pro)
The breakeven automation feature monitors for TP1 being reached while a pattern is active. When TP1 is hit, a dashed yellow line appears at the entry price level and extends forward in time, accompanied by a label reading "Move SL to BE." This serves as a visual prompt for traders who employ a breakeven stop-loss management strategy — the line persists and updates its right endpoint on every subsequent bar, remaining visible as long as the pattern is active.
● Risk Zone Visual (Pro)
The risk zone visualization renders a semi-transparent filled rectangle spanning the space between the entry price and the stop loss price, extending from the breakout bar to the target projection area. This box immediately conveys the exact magnitude of capital at risk in the setup and provides a visual reference for the relationship between the risk zone and subsequent price action. The fill color of the risk zone mirrors the stop line color at a high transparency level.
● Pattern History Dashboard
A compact two-column table in the upper-right corner of the chart provides a real-time summary of the most recently detected pattern. The dashboard reports the pattern name and its directional bias, the bars elapsed since detection, entry and stop prices, the adjusted risk-reward ratio, a volume strength score visualized as a block-bar progress indicator, and pivot count. When Pro features are enabled, the dashboard expands to include the Pattern Quality Score, HTF bias status, current ATR percentage, session filter status, and confluence count. When Extended Multi-Pattern Dashboard is enabled, a Recent Patterns section appears at the bottom of the table, logging the five most recently detected patterns with their formation status. The Advanced Intelligence section surfaces Neckline Strength, Volume POC status, Cleanliness Score, Cross-Pattern Conflict status, Formation Speed, and Decay Timer readings when their respective features are active.
● Pattern Heatmap Table (Pro)
The heatmap table provides a visual measure of pattern density and Quality Score context in a graphical block-bar format. The heatmap score reflects the concentration of recent price action in the formation window, offering an at-a-glance reading of how structurally active the market has been in recent bars.
● Pattern Replay Mode (Pro)
The Pattern Replay Mode feature allows analysts to simulate viewing the chart from a historical vantage point by applying a user-specified bar offset to all detection logic. By stepping backward through bars, users can observe how the indicator would have behaved at specific points in the past — a valuable tool for studying pattern behavior, validating setup quality in hindsight, and developing familiarity with the indicator's detection characteristics on a specific instrument.
● Candle-Level Coloring for Extended Indicators
The bullish and neutral/bearish colors defined in the Colors group also influence the text coloring of dashboard labels and pattern labels rendered on the chart, creating a coherent, unified color scheme that allows bullish and bearish patterns to be instantly differentiated at a glance.
📖 How to Use
● Step 1 — Configuring the Core Parameters
Begin by setting the General parameters. The Pattern Cooldown determines how many bars must pass before the indicator can display a new pattern, preventing chart clutter from near-simultaneous detections. Symmetry and Level Tolerances control how precisely pattern geometry must conform to ideal proportions — start with the defaults and tighten them if you find the indicator surfacing formations you consider too loose geometrically. The Minimum Pattern Size settings ensure you are only seeing formations of meaningful magnitude relative to current price and volatility.
● Step 2 — Selecting the Patterns to Scan
The Patterns group contains individual toggles for each of the eighteen formation types. Enable all patterns to begin with a full-spectrum scan, then disable specific families if your strategy does not trade them. For example, traders who focus exclusively on continuation setups may wish to disable the reversal pattern families and vice versa.
● Step 3 — Configuring Pivot Sensitivity
The Pivot Lookback Left and Right settings control how many bars on each side of a candidate swing point must confirm it as a local extreme. Longer lookbacks produce fewer, more significant pivots that form the anchor nodes of larger, more mature patterns. Shorter lookbacks are more sensitive and will detect smaller formations. The Max Pivots to Remember setting governs how deep the historical pivot buffer extends — a larger buffer allows the detection of formations that developed over longer periods.
● Step 4 — Setting Breakout Confirmation Criteria
The Filters group provides the breakout confirmation framework. Decide whether your strategy requires a wick break, a candle close, or a full-body break for confirmation. Set the ATR or percentage threshold for the breakout margin. If you require multiple consecutive bars of confirmation before accepting a breakout, set the Confirmation Bars value accordingly. Enable the Volume Spike filter if your strategy demands volume participation at the breakout. Set the Minimum Risk:Reward Ratio to suppress setups that do not meet your expected value criteria before they ever appear on the chart.
● Step 5 — Interpreting Active Patterns
When a pattern is displayed on the chart, the dashed lines to the right of the breakout bar define the full trade plan. The entry line represents the price at which the bar following the confirmation opened — the entry point if trading the breakout. The stop line shows where the indicator places the structural stop, with your configured buffer applied. The target line shows the measured-move objective. The R:R label adjacent to the target line reflects the ratio after slippage and commission deductions, giving you the net expected risk-reward rather than the gross.
● Step 6 — Using the Dashboard for Context
The upper-right dashboard should be reviewed alongside any active pattern. Volume score and pivot density provide complementary context on the structural richness of the current chart state. Bar elapsed since detection tells you how long the setup has been active without resolution. The Risk-Reward score in the dashboard mirrors the chart label but provides a reference without needing to scroll.
● Step 7 — Enabling Pro Intelligence Features
For analysts seeking additional confirmation layers, the Pro feature groups provide the Pattern Quality Score, HTF Bias alignment, and Confluence Count as primary gatekeeping tools. Enable HTF Bias to ensure that the directional implication of a detected pattern aligns with the trend on a higher timeframe. Use Confluence Count as an additional conviction filter — setups where multiple pattern families simultaneously point in the same direction are inherently more structurally supported than single-pattern detections. Use Pattern Quality Score to compare the relative quality of multiple active setups on different instruments or timeframes.
● Step 8 — Configuring Alerts
Enable alerts in the Alerts group to receive notifications when patterns confirm. With Smart Detailed Alerts enabled, each alert message contains the full trade plan: pattern name, bias, entry, stop, target, risk-reward, position size if that feature is active, and confluence count. The Pre-Breakout Alert provides advance warning when price is approaching the entry zone but has not yet confirmed, allowing preparation without requiring constant chart monitoring.
● Step 9 — Managing Multiple Patterns
The Max Patterns Displayed setting governs how many historical confirmed patterns remain visible on the chart simultaneously. A setting of one shows only the most recently confirmed formation, keeping the chart uncluttered. Higher values allow a history of recent setups to remain visible — useful for studying how the indicator performed across recent market structure without switching timeframes.
⚙️ Inputs and Settings
● General
- Pattern Cooldown (Bars) — The minimum number of bars that must separate consecutive pattern detections. Prevents multiple near-simultaneous labels from being applied to closely adjacent formations that originate from the same underlying structure. Default: 5.
- Symmetry Tolerance (%) — The maximum percentage deviation allowed between the price levels of the symmetric anchor points of a pattern — for example, the two peaks of a Double Top or the two shoulders of a Head and Shoulders. Expressed as a percentage of the average price of the compared points. Default: 10.0%.
- Level Tolerance (%) — The maximum percentage deviation between key horizontal levels within a pattern — primarily used for the triple formation families where three highs or three lows must align. Default: 3.0%.
- Min Pattern Size (% of Price) — The minimum height of the pattern expressed as a percentage of the current price. Patterns shorter than this threshold are rejected regardless of geometric validity. Default: 0.5%.
- Min Pattern Size (ATR Multiplier) — The minimum height of the pattern expressed as a multiple of the current Average True Range. Both this and the percentage threshold must be satisfied simultaneously. Default: 1.0×.
- Max Patterns Displayed — The maximum number of concurrently visible historical patterns on the chart. Older confirmed patterns are removed as new ones are added when this limit is reached. Default: 1.
● Patterns
- Double Top / Double Bottom — Toggles detection of the two-peak and two-trough reversal formations.
- Triple Top / Triple Bottom — Toggles detection of the three-peak and three-trough reversal formations.
- Head and Shoulders / Inverted Head and Shoulders — Toggles detection of the classic and inverted head-and-shoulders reversal patterns.
- Bullish Flag / Bearish Flag — Toggles detection of parallel-channel continuation patterns following a directional pole.
- Bullish Pennant / Bearish Pennant — Toggles detection of converging-trendline continuation patterns following a directional pole.
- Rising Wedge / Falling Wedge — Toggles detection of converging wedge formations where both trendlines slope in the same direction.
- Triangle — Toggles detection of ascending, descending, and symmetrical triangle formations.
- Rectangle — Toggles detection of horizontal consolidation channel formations.
- Cup and Handle / Inverted Cup and Handle — Toggles detection of the curved rounding formation with a handle consolidation.
- Rounding Bottom / Rounding Top — Toggles detection of gradual curved reversal formations lacking sharp pivot geometry.
● Pivot
- Pivot Lookback Left — The number of bars to the left of a candidate swing point that must be lower (for a high) or higher (for a low) to confirm the pivot. Larger values produce fewer, more significant pivots. Default: 10.
- Pivot Lookback Right — The number of bars to the right of a candidate swing point that must confirm it. Applies a confirmed-bar delay equal to this value before a pivot is registered. Default: 10.
- Max Pivots to Remember — The maximum number of historical pivot highs and lows retained in the rolling buffer. A larger buffer allows detection of patterns formed over extended periods. Default: 500.
● Filters
- Require Candle Close Outside? — When enabled, a breakout is only recognized when a candle closes beyond the boundary level, rather than merely penetrating it intrabar. Default: false.
- Require Full Body Breakout? — When enabled, both the open and close of the breakout candle must be beyond the boundary — the entire real body must clear the level. Default: false.
- Use ATR for Threshold? — Determines whether the breakout margin is expressed as an ATR multiple or a percentage. Default: true (ATR-based).
- Breakout Threshold (ATR) — The ATR multiple that price must exceed beyond the boundary to register a breakout. Active when ATR threshold mode is selected. Default: 1.0×.
- Breakout Threshold (%) — The percentage of the boundary price level that price must exceed for a breakout. Active when percentage threshold mode is selected. Default: 0.3%.
- Confirmation Bars (Consecutive) — The number of consecutive bars that must each independently satisfy the breakout condition before the breakout is accepted. Default: 1.
- Show Patterns Without Confirmation — When enabled, the confirmation requirements are suspended and patterns are displayed as pending formations regardless of breakout status. Useful for studying pattern formations before they resolve. Default: false.
- Scan Lookback Bars — The minimum number of bars back from the current bar that the breakout scan searches. Default: 1.
- Require Volume Spike? — When enabled, the breakout bar's volume must exceed the rolling volume average multiplied by the configured Volume Multiplier. Default: false.
- Volume Multiplier — The factor by which current volume must exceed the rolling average to satisfy the volume spike condition. Default: 1.0×.
- Volume SMA Length — The lookback length for the rolling volume average used in the volume spike comparison. Default: 20.
- Min Risk:Reward Ratio — The minimum adjusted risk-reward ratio that a setup must achieve after slippage and commission deductions. Setups below this threshold are suppressed. Default: 1.0.
- Slippage (Ticks) — The estimated slippage in minimum price increments applied to the reward calculation for risk-reward evaluation. Default: 1.0 tick.
- Commission (%) — The round-trip commission percentage applied to the reward calculation. Default: 0.0001%.
● Visuals
- Fill Transparency — Controls the transparency of the interior fill within pattern boundaries. Higher values produce a more transparent, less visually dominant fill. Default: 80.
- Show Measured Targets — Toggles the display of entry, stop, and target dashed lines with labels to the right of the breakout bar. Default: true.
- Stop Loss ATR Buffer — An ATR multiple added beyond the structural stop anchor point when ATR-based stop mode is active, providing additional clearance from the invalidation level. Default: 0.5×.
- SL as % of Target Dist — When enabled, the stop loss is placed at a percentage of the measured target distance below (bullish) or above (bearish) the entry, rather than at the structural anchor. Default: true.
- SL % of Target Dist — The percentage of the measured target distance used to set the proportional stop loss. Default: 25%.
- Extend Breakout Lines — When enabled, pattern boundary trendlines are extended infinitely to the right of the breakout bar, rather than terminating at the breakout. Default: false.
● Colors
- Bullish Color — The color applied to bullish patterns, their fills, and their associated labels and lines. Default: bright mint green.
- Bearish Color — The color applied to bearish patterns and their associated elements. Default: vivid rose-red.
- Neutral/Text Color — The color used for neutral labels and secondary text elements. Default: medium violet.
- Pending Pattern Color — The color used for patterns displayed in pending (unconfirmed) mode. Default: cyan.
- Entry Line Color — The color of the dashed entry price line and its label. Default: amber-yellow.
- Stop Line Color — The color of the dashed stop loss line and its label. Default: rose-pink.
- Target Line Color — The color of the dashed target line and its label. Default: bright green.
- Dashboard Background Color — The background color of the dashboard table cells. Default: near-black.
- Dashboard Text Color — The primary text color used throughout the dashboard. Default: light silver-white.
● 💎 Pro — Pattern Intelligence
- Pattern Quality Score — Activates the composite Pattern Quality Score metric, which synthesizes volume, risk-reward, and pivot density into a single score displayed in the dashboard. Default: false.
- Multi-Pattern Confluence — Enables the simultaneous counting of all active detected patterns across all families, with the total confluence count reported in the dashboard. Default: false.
- HTF Bias Filter — Enables the Higher Timeframe Bias filter, suppressing patterns that conflict with the directional bias observed on the configured higher timeframe. Default: false.
- HTF Timeframe — The timeframe used for the higher timeframe bias data retrieval. Default: 240-minute.
● 💎 Pro — Dashboard+
- Extended Multi-Pattern Dashboard — Expands the dashboard with a Recent Patterns section that logs the five most recently detected patterns and their formation status. Default: false.
- Multiple TP Levels (TP1/TP2/TP3) — Replaces the single target line with three individually positioned take-profit lines at user-defined percentages of the measured target distance. Default: false.
- TP1 / TP2 / TP3 % of Target Dist — The percentage of the measured target distance at which each of the three take-profit lines is placed. Defaults: 50% / 100% / 150%.
● 💎 Pro — Alerts
- Smart Detailed Alerts — When enabled, alert messages include the full trade plan: pattern name, bias, entry, stop, target, adjusted R:R, position size (if active), and confluence count. Default: false.
- Pre-Breakout Alert — Triggers an alert when price approaches the entry zone within a configurable ATR distance, providing advance warning before breakout confirmation. Default: false.
- Pre-Brk Distance (ATR) — The ATR multiple defining the proximity to the entry zone that triggers the pre-breakout alert. Default: 0.5×.
● 💎 Pro — Trade Tools
- Position Sizing Calculator — Enables automatic position size calculation based on account size and risk percentage per trade, with the result displayed in the dashboard. Default: false.
- Account Size ($) — The total account equity used as the basis for position size calculations. Default: $10,000.
- Risk Per Trade (%) — The percentage of account equity to risk on any single trade, used to size positions relative to the stop distance. Default: 1.0%.
- Auto Breakeven Line — Activates the automated breakeven line feature, which renders a visual prompt to move the stop to breakeven when TP1 is reached. Default: false.
- Risk Zone Visual — Renders a semi-transparent filled rectangle spanning the entry-to-stop risk zone from the breakout bar forward. Default: false.
- Risk Zone Transparency — Controls the transparency of the risk zone fill. Default: 85.
● 💎 Pro — Filters+
- Market Structure Filter — When enabled, only patterns consistent with the short-term market structure trend — defined by the relative position of price within the recent high-low range — are displayed. Default: false.
- Market Structure Length — The lookback length used to define the current market structure high and low. Default: 20.
- Trading Session Filter — Restricts pattern confirmation to occur only during user-specified trading sessions. Default: false.
- London / New York / Asia Sessions — Individual toggles selecting which sessions are active when the session filter is engaged.
- ATR Percentile Volatility Filter — Restricts pattern confirmation to bars where the ATR percentile rank falls within a specified band, avoiding detection during extreme high or low volatility regimes. Default: false.
- Min / Max ATR Percentile — The lower and upper bounds of the ATR percentile band within which detections are permitted. Default: 10th–90th percentile.
- ATR Percentile Lookback — The historical bar count used to rank current ATR within its percentile distribution. Default: 100.
● 💎 Pro — Visuals+
- Gradient Fill — Applies an additional transparency layer to pattern fills, producing a softer gradient appearance. Default: false.
- Pattern Status Icons — Prepends a formation status icon to the pattern name label on the chart. Default: false.
- Pattern Heatmap Table — Displays a heatmap quality score within the dashboard, reflecting the density and quality of recent pattern activity. Default: false.
- Heatmap Lookback Bars — The bar count window used for the heatmap density analysis. Default: 50.
- Pattern Replay Mode — Shifts all detection logic backward by a user-specified number of bars, simulating the indicator's state at a historical point in time. Default: false.
- Replay Offset (Bars Back) — The number of bars to offset for replay simulation. Default: 0.
● 💎 Pro — Advanced Intelligence
- Neckline Strength Decay — Tracks pre-breakout price touches of the key neckline level and displays a weakening strength score in the dashboard.
- Neckline Touch Tolerance (ATR) — The ATR multiple defining the proximity band within which a bar is counted as a neckline touch. Default: 0.15×.
- Volume POC Breakout Check — Identifies the approximate volume-weighted center price within the pattern window and flags whether the breakout close occurred above or below it.
- Pattern Cleanliness Score — Measures the tightness with which price tracked the pattern's structural trendlines, expressed as a zero-to-one-hundred score.
- Cross-Pattern Conflict Warning — Flags when simultaneously detected bullish and bearish patterns indicate market directional indecision.
- Time Symmetry Filter — Requires approximate temporal symmetry between the left and right anchor points of symmetric patterns.
- Time Symmetry Tolerance (%) — The maximum allowed deviation in bar-count distance between the two sides of a time-symmetric pattern. Default: 35%.
- Formation Speed Score — Benchmarks the current pattern's formation length against the historical average for that pattern type, revealing whether formation was faster or slower than typical.
- Adaptive Tolerance (Auto-Scale w/ Volatility) — Automatically scales symmetry and level tolerances proportionally with the current ATR percentile rank, maintaining consistent detection sensitivity across volatility regimes.
- Liquidity Sweep Confirmation — Requires a wick-based stop-hunt beyond the second swing point, followed by a close back inside the range, before confirming Double Top and Double Bottom patterns.
- Pattern Decay Timer — Displays a countdown of bars before an un-triggered pattern is considered stale, based on a multiple of the pattern's average historical formation length.
- Decay Timer Multiplier — The multiplier applied to the average formation length to set the decay threshold. Default: 2.0×.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Classical Chart Pattern Theory
The foundational theoretical basis of this indicator is the classical technical analysis literature codified in the early twentieth century, most comprehensively articulated in Robert D. Edwards and John Magee's foundational work on stock price behavior and chart patterns. The formations detected by this indicator — Head and Shoulders, Double and Triple Tops and Bottoms, Flags, Pennants, Wedges, Triangles, and Rectangles — represent the core pattern vocabulary of this tradition, each interpreted as a graphical representation of a specific competitive dynamic between supply and demand. The measured-move principle for price target determination, which projects the pattern height forward from the breakout level, is among the oldest documented price-projection heuristics in the technical literature and remains one of the most empirically cited.
● Pivot Structure and Market Microstructure
The use of confirmed swing highs and lows as anchor nodes is consistent with the structural market analysis frameworks introduced by Charles Dow and later formalized in terms of swing analysis by W. D. Gann. In contemporary market microstructure research, the significance of price pivots as informational nodes — points where the balance of order flow reversed — is reflected in bid-ask bounce literature and in the empirical documentation of support and resistance behavior at historical swing points. Ralph Nelson Elliott's wave principle, while not explicitly replicated in this indicator's detection logic, informs the broader theoretical context for why repeating structural sequences appear in price series with statistical frequency.
● Breakout Dynamics and Confirmation Theory
The breakout confirmation framework reflects a body of academic and practitioner research on the reliability differential between confirmed and unconfirmed breakouts. Work by economists including Brock, Lakonishok, and LeBaron examining the statistical properties of technical trading rules documented that breakout signals, particularly those from pattern completions, exhibit statistically significant predictive content when evaluated with appropriate confirmation criteria. The volume confirmation requirement references Granville's foundational work on volume as a leading indicator of price commitment — a principle subsequently examined in academic settings by Blume, Easley, and O'Hara's work on the informational content of trading volume.
● Risk-Reward Framework and Post-Modern Portfolio Theory
The indicator's emphasis on pre-trade risk-reward evaluation reflects the Post-Modern Portfolio Theory (PMPT) framework developed by Fishburn, Sortino, and Price, which characterizes risk as downside deviation from a threshold return rather than symmetric variance. The risk-reward ratio with explicit slippage and commission adjustment reflects the trade-level expected value analysis that forms the basis of Kelly Criterion position sizing theory — the work of John L. Kelly Jr. at Bell Labs subsequently extended to trading applications by Ed Thorp and others. The position sizing calculator within the Pro feature set implements a fixed-fractional risk model consistent with the risk-of-ruin optimization principles described in Ralph Vince's work on optimal f and portfolio management for traders.
● Volume-Weighted Price Level Analysis and the Point of Control
The Volume POC Breakout Check is conceptually grounded in Market Profile theory, originally developed by J. Peter Steidlmayer in collaboration with the Chicago Board of Trade in the 1980s and subsequently extended by James Dalton and others. Market Profile theory posits that the price level attracting the greatest cumulative volume within a defined time window represents the fair value area where the greatest consensus between buyers and sellers existed — the Point of Control. The indicator's approximate POC estimation within the pattern formation window applies this principle at the level of individual formations, providing a volume-informed view of whether the breakout is clearing the contested center of the formation's price distribution.
● Volatility Normalization and Adaptive Signal Filters
The ATR Percentile Volatility Filter and the Adaptive Tolerance feature both reflect the academic recognition that technical signal parameters calibrated to a fixed volatility regime produce non-stationary results when market volatility shifts. Merton's option pricing extensions and subsequent work on realized volatility by Andersen, Bollerslev, Diebold, and Labys demonstrated that volatility is itself a stochastic and persistent process. Regime-adaptive signal filtering — adjusting sensitivity to current volatility rather than applying fixed thresholds — reflects the practitioner response to this theoretical insight, documented across a range of quantitative trading research.
● Higher Timeframe Confirmation and Multi-Timeframe Confluence
The HTF Bias Filter reflects the principle of multi-timeframe confirmation, a concept with deep roots in Dow Theory's distinction between primary, secondary, and minor trends. Contemporary empirical work in technical analysis research — including studies published in the Journal of Technical Analysis — has documented that short-timeframe trading signals aligned with the directional bias of higher timeframes exhibit improved win rates relative to counter-trend signals. The Multi-Pattern Confluence feature similarly reflects the principle of confirmation through independent evidence: the simultaneous convergence of multiple independent analytical signals reduces the probability that any single detection is a false positive.
● Time Symmetry and Pattern Morphology
The Time Symmetry Filter draws on pattern morphology research suggesting that geometrically balanced formations — those exhibiting approximate equivalence in the time dimension as well as the price dimension — exhibit more stable post-breakout characteristics than asymmetric formations. This principle is related to the broader concept of fractality in price series first mathematically explored by Benoit Mandelbrot in the context of financial markets, and subsequently applied to trading by practitioners including Bryce Gilmore and Larry Pesavento, who documented harmonic proportionality in time as a complement to harmonic proportionality in price.
● Liquidity Dynamics and Stop-Hunting Behavior
The Liquidity Sweep Confirmation feature reflects the contemporary understanding of liquidity dynamics in electronic order-driven markets. Research by economists including Albert Kyle and subsequent market microstructure work on order flow imbalances has documented that price frequently overshoots key levels before reversing — a behavior that reflects the harvesting of stop-loss orders clustered beyond visible swing points. The liquidity sweep pre-condition for Double Top and Bottom confirmation operationalizes this insight: requiring evidence that the market has already hunted the stops beyond the second swing before confirming the reversal increases the probability that the subsequent move is driven by genuine directional order flow rather than residual speculative interest.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only. Nothing contained in this tool or its associated materials constitutes financial, investment, legal, or tax advice, and no information presented should be construed as a recommendation to buy, sell, or hold any financial instrument or to engage in any specific trading or investment strategy. Past performance of any pattern, signal, or methodology illustrated by this indicator is not indicative of future results. All trading involves risk. Markets can and do move against technical patterns, and no indicator or analytical system can guarantee profitable outcomes. Users are solely responsible for all trading decisions and outcomes. We expressly disclaim all liability for any direct, indirect, incidental, special, or consequential losses or damages arising from the use of, or reliance upon, this indicator or any information derived from it. Before trading any financial instrument, users should seek independent financial advice appropriate to their individual circumstances.
Notas de Lançamento
Correction in description :TP1 / TP2 / TP3 % of Target Dist — The percentage of the measured target distance at which each of the three take-profit lines is placed. Defaults: 25% / 50% / 75%.
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No modifications were made to the code, but an image was added to illustrate the table because the full table data does not appear in the post. Notas de Lançamento
The updated introduces comprehensive webhook integration for advanced trade automation, supporting JSON payloads that include multi-target levels and quantity percentages. New configuration options allow users to define precise position sizing percentages for each Take Profit level, enhancing tactical exit management. Alerting systems have been upgraded to provide granular signal information, ensuring consistent tracking of hit status across all three target stages. Internal logic for pattern tracking has been refined to include updated status tracking for all TP stages, improving the reliability of the dashboard's intelligence data.Notas de Lançamento
The updated version introduces a new "Lock Current Pattern" feature, providing traders with greater control by allowing them to freeze the most recent pattern on the chart. This enhancement prevents new detections from automatically replacing the displayed setup until the user chooses to disable the lock. Additionally, the overall architecture has been refined to significantly improve performance and computational efficiency during operation. These updates collectively offer a more stable and responsive user experience for monitoring chart patterns. Notas de Lançamento
Chart has been modifiedNotas de Lançamento
MAJOR NEW FEATURES- Dedicated Pennant Detection
Bullish and Bearish Pennants are now detected as their own pattern type instead of being treated as a variation of the Flag. A pennant must now show genuinely converging boundaries that tighten as the structure matures, and it carries its own measured target derived from the preceding impulse leg. Flags remain reserved for true parallel channels, so the two continuation families no longer overlap or steal signals from one another.
How to Use: A pennant now prints as its own labelled structure with converging boundary lines and its own entry, stop and target. A "Pennant" label means a tightening consolidation; a "Flag" label means a parallel drift. The label itself now tells you which continuation shape you are looking at. - Filters Judged at the Breakout Bar
Session, volume, market-structure and higher-timeframe filters are now evaluated at the moment the breakout actually occurred, not at the current bar. Previously a valid breakout could be rejected simply because conditions had shifted by the time you looked at the chart, while a weak one could slip through. Every quality gate now reflects the real conditions of the trigger bar. - Live Trade Status Tracking
The Recent Patterns table now follows the active setup in real time, advancing through forming, first target, second target, third target and stopped out. Older rows keep the status they held when they were superseded, giving you an at-a-glance record of how recent structures actually resolved. On-chart status icons now recognise the second and third targets as well.
How to Use: Read the Status column as the live outcome of each pattern. A forming status means the setup is still in progress, a target status shows how far it travelled, and a stopped status means the structure failed. Only the top row is live; the rows beneath it are history. - Rebuilt Alert and Webhook Layer
Alerts are now fully independent of chart rendering, so hiding the measured-target drawings no longer silences them. Webhook payloads identify the event type and carry both the cost-adjusted risk-to-reward and a bar timestamp, and follow-up events (entry retest and each target hit) are now delivered in the same structured format instead of plain text. Every alert leads with the symbol and timeframe, the retest alert fires only once per pattern, and all follow-up alerts stop automatically once a setup has been stopped out. - Non-Standard Chart Protection
The indicator now refuses to run on chart types that report synthetic prices, with a clear on-screen explanation. Those chart types would silently invalidate every pattern level, entry, stop and target, so the tool blocks the situation outright rather than producing misleading numbers. - Adaptive Dashboard Layout
The dashboard now builds itself from the modules you actually have enabled. Disabled rows are removed entirely rather than left as blank gaps, striping always stays clean, and leftover rows are cleared the moment you switch a module off. The panel is now as compact as your configuration allows.
MINOR FEATURES AND ENHANCEMENTS
- Full Settings Documentation — Every Pro setting now carries an in-platform tooltip explaining what it does, what it depends on, and what it deliberately does not do. No more guessing which toggles interact.
- True Exchange-Time Sessions — London, New York and Asia sessions are now measured in their own exchange time zones rather than the chart's clock, so session filtering stays accurate on every symbol. Leaving all sessions unticked now disables the filter instead of blocking every signal.
- Reliable Higher-Timeframe Bias — Selecting a timeframe lower than the chart no longer breaks the filter; it is clamped to the chart and reported as such. While the higher-timeframe reference is still building, the filter reports a warming-up state and passes signals through rather than blocking everything.
- Volume-Free Instrument Support — Symbols without volume data now display a clear not-available state, and the quality score adapts accordingly instead of silently treating them as if volume were flat.
- Clearer Dependency Feedback — Rows that require another module to be enabled now say so directly on the dashboard instead of showing a blank or misleading value.
How to Use: Dashboard rows can now display plain-language state text — a warming-up notice, a not-available notice, or a note that another module is required. Read these as information about that module's readiness, never as a trade signal.
ACCURACY AND QUALITY REFINEMENTS
- Stricter Pattern Validation — Triple tops and bottoms now require all three levels to agree with one another, cup-and-handle setups reject over-deep handles, rounding formations require a genuinely ordered arc rather than any loosely curved sequence, rectangles are built from true boundary extremes, and head-and-shoulders targets are measured against the neckline directly beneath the head. Wedge and triangle flatness is now judged relative to current volatility instead of a fixed price amount.
- Breakout Scanning Discipline — The breakout search can no longer reach back past a pattern's own final pivot, eliminating false breaks borrowed from earlier price action. Only the pattern types you have enabled are scanned, which also lightens chart load.
- Honest Risk-to-Reward — Trading costs are now applied to both sides of the risk-to-reward calculation, and setups whose target sits on the wrong side of the entry are rejected outright. Reported ratios are conservative rather than flattering.
- Structural Stops by Default — Stop placement now defaults to the pattern's own structural level rather than a fixed proportion of the target distance, so risk-to-reward reflects the setup instead of being pinned to a constant.
- Cleanup and Persistence Fixes — Risk zones are now cleared together with the rest of a pattern's drawings, breakeven lines reset properly when a new pattern appears and stop updating after a stop-out, and pattern counting no longer double-counts unconfirmed bars.
- Correct Entry Referencing — Entry prices are now taken from the correct bar relative to the breakout, and multi-target webhook quantity percentages are no longer scaled twice.
- Input Safety Limits — Lookback, confirmation and averaging inputs now carry sensible upper bounds, preventing configurations that would stall or destabilise the script.
- Streamlined Feature Set — The heatmap row and replay-offset mode have been retired, along with unused colour inputs, in favour of the live status tracking and adaptive dashboard that replace them.
Notas de Lançamento
Auto Pattern Detector Targets Pro — Update SummaryMajor Features
- Real-time take-profit detection. Take-profit levels are now registered the moment price reaches them inside the bar, instead of waiting for the bar to close. Targets that are tapped and then given back are no longer missed, and the corresponding alerts fire while the move is happening rather than after it.
- Take-profit progress is now independent of alerts. The dashboard status and the pattern history now advance through the take-profit stages whether or not alerts are switched on. Previously this progression only ran when alerts were enabled, so anyone using the tool visually saw a status that never moved past the entry stage.
- New level plotting control. A new Visuals option lets you choose where the entry, stop, target and take-profit lines begin: from the breakout bar, which keeps the full trade picture anchored to the structure that produced it, or from the current bar, which keeps the right edge of the chart clean and readable. Previously the anchor point was fixed.
Minor Features and Improvements
- Configuration safeguard for take-profit ordering. If the multi-level take-profit percentages are entered out of sequence, the indicator now stops with a clear message explaining exactly what to correct, instead of loading with overlapping or inverted levels that quietly produce meaningless targets.
- Readable timeframe labels. Timeframes shown on the dashboard header and in the higher-timeframe bias row are now displayed in standard trader notation rather than raw platform codes, so the chart context and the bias timeframe are recognisable at a glance.
- Live confluence reading. The confluence count now refreshes on every price update rather than only at bar close, so the multi-pattern agreement reading reflects current conditions as a candle develops.
- Cleaner volume-context row. When volume context cannot be established for the current setup, the corresponding dashboard row now clears to a neutral dash instead of leaving the previous setup's reading on screen.
Refinements
- Pattern quality score now reflects the breakout itself. The volume component of the quality score is captured at the breakout bar and held there for the life of the setup. Previously it tracked whatever the current bar was doing, so a score earned on a strong breakout could decay as ordinary bars followed. The score now stays an honest measure of the event that triggered the trade.
- More representative volatility reading. The volatility gauge, the volatility filter and the adaptive tolerance that depends on them are now derived from a more robust historical measure. A single extreme spike inside the lookback window no longer compresses every other reading, so mid-range volatility is reported and filtered far more consistently.
- Break-even handling tightened. The break-even level is now armed once per setup and is not re-armed after a setup has been stopped out. When multi-level take-profit is active, reaching break-even no longer pre-marks the first take-profit as achieved, so the stage tracking and the history status stay truthful.
- More accurate triangle classification. Ascending, Descending and Symmetrical triangles are now distinguished by which boundary is genuinely flat, applied consistently to both bullish and bearish resolutions. Some triangles that were previously labelled Symmetrical are now correctly named.
- Pattern Lock engages immediately. When Pattern Lock is on, the freeze is applied before a newly forming structure can take the display, so the locked setup holds on screen from the moment you lock it.
- Selection priority reordered. Triple Top and Triple Bottom formations are now evaluated ahead of Double Top and Double Bottom. Where the same price action supports both readings, the larger and more developed structure is the one that is presented.
- Volume-profile context guarded. The volume-based context level is only reported when genuine traded volume exists in the range being examined, and bars with missing volume are skipped rather than counted as empty. Symbols with patchy volume data no longer produce a misplaced reference level.
Performance and Stability
- Detection work is now demand-driven. The heavier scans behind liquidity sweep confirmation, level-touch counting, pattern cleanliness scoring, volume-profile context and breakout location now run only when the relevant feature is enabled and the candidate structure has already passed its geometric checks. On charts where only a few pattern types are active, a large amount of work that was previously performed and discarded is no longer performed at all.
- Higher-timeframe bias retrieved more efficiently. The higher-timeframe trend context is now requested in a single consolidated call instead of separate ones, reducing external data load and speeding up chart initialisation.
- Bounded historical scanning. Backward scans used by the sweep and cleanliness checks are now held within a safe lookback range, preventing errors on charts with very long histories.
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As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.
Disponível em Espaço Pago
Este indicador está disponível apenas para assinantes de MarkitTick. Assine para acessar este e outros scripts de MarkitTick.
💡 Proprietary indicators. Original research. Built by analysts who trade.
📢 Free Telegram: t.me/MarkitTick_Updates
👑 Premium: markittick.com
📢 Free Telegram: t.me/MarkitTick_Updates
👑 Premium: markittick.com
Aviso legal
As informações e publicações não se destinam a ser, e não constituem, conselhos ou recomendações financeiras, de investimento, comerciais ou de outro tipo fornecidos ou endossados pela TradingView. Leia mais nos Termos de Uso.