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Dynamic Trend Pivots [BOSWaves]Dynamic Trend Pivots - Conviction-Driven Trend Detection with Pulse-Adaptive Exhaustion Level Mapping Overview Dynamic Trend Pivots is a conviction-based trend identification and structural level mapping system that tracks directional price commitment through a pulse accumulation engine, where band width, trend confidence, and exhaustion level placement are driven by real-time measurement of close-position conviction across consecutive bars rather than arbitrary moving average relationships or fixed volatility multiples. Instead of relying on standard crossover logic or static band thresholds, trend state, adaptive band behavior, and exhaustion level generation are determined through bar-level conviction scoring, pulse saturation modeling, and peak-to-trough saturation drop detection that identifies genuine momentum exhaustion events as they occur. This creates a trend framework that reflects actual directional commitment rather than lagged price averages - tightening bands during high-conviction pulse saturation when trend confidence is elevated, expanding bands as conviction decays and directional commitment weakens, and planting structural exhaustion levels at the precise price points where pulse energy peaked before collapsing, marking locations of maximum prior commitment for future reference. Price is therefore evaluated against bands and structural levels that respond to measurable conviction dynamics rather than conventional indicator thresholds. Conceptual Framework Dynamic Trend Pivots is founded on the principle that meaningful trend signals and structural reference levels emerge from the accumulation and exhaustion of bar-level directional conviction, not from price crossing smoothed averages or breaching fixed statistical bands. Traditional trend-following approaches identify directional changes through indicator crossovers or band penetrations that treat all bars equally regardless of their internal structure and conviction quality. This framework replaces undifferentiated price-level logic with conviction-weighted pulse tracking that distinguishes between bars demonstrating genuine directional commitment and bars that merely move price without close-position confirmation. Three core principles guide the design: Trend conviction should be measured through close positioning within the bar range combined with directional agreement, not through price displacement alone. Band width must dynamically reflect pulse saturation state, contracting during high-conviction conditions and expanding as conviction decays. Structural reference levels should be planted at exhaustion events — the precise price points where accumulated conviction peaked before collapsing — rather than at arbitrary pivot formations. This shifts trend analysis from static threshold detection into a continuously updating conviction framework anchored in measurable bar-level directional commitment. Theoretical Foundation The indicator combines close-position conviction measurement, pulse accumulation and decay modeling, MAD-based adaptive band construction, and saturation peak tracking for exhaustion event detection. Conviction bars are identified through close positioning within the bar range: a bull conviction bar closes in the upper fraction of its range on an up-close bar, and a bear conviction bar closes in the lower fraction on a down-close bar. A pulse counter accumulates these conviction readings up to a configurable saturation cap, while decaying exponentially between conviction events. Saturation drives the band multiplier interpolation between tight and wide settings, reflecting real-time trend confidence. Exhaustion detection monitors saturation's relationship to its recent peak, planting structural levels when saturation drops sufficiently from that peak. Four internal systems operate in tandem: Pulse Accumulation Engine : Evaluates each bar for directional conviction based on close positioning within the high-low range, accumulating bull and bear pulse counters independently with configurable decay between conviction events. Saturation Measurement System : Converts raw pulse counts into a normalized saturation reading relative to the pulse cap, providing the continuous 0-1 conviction metric that drives all adaptive behavior. MAD Adaptive Band Construction : Applies Mean Absolute Deviation-scaled bands around an EMA baseline, with the band multiplier dynamically interpolating between minimum and maximum settings based on current saturation. Exhaustion Level Engine : Tracks saturation peaks with their associated price and direction, planting structural zone levels when saturation drops below a configurable fraction of its recent peak, with lifecycle management including break detection, zone extension, and retest identification. This design allows trend confidence and structural reference levels to reflect actual conviction dynamics rather than responding mechanically to price or indicator crossovers. How It Works Dynamic Trend Pivots evaluates price through a sequence of conviction-aware processes: Conviction Bar Classification : Each bar's close position within its high-low range is measured; bars closing in the upper fraction on an up-close qualify as bull conviction bars, and bars closing in the lower fraction on a down-close qualify as bear conviction bars. Pulse Counter Update : Bull or bear pulse counters increment by one on each qualifying conviction bar up to the saturation cap, and decay multiplicatively by the configured decay rate when conviction bars are absent. Saturation Calculation : The dominant pulse counter (bull or bear) divided by the pulse cap yields a normalized saturation value, with signed directional pulse providing the complete conviction state. Saturation Peak Tracking : The system continuously monitors saturation, recording the peak value, direction, associated price level (high for bull, low for bear), and bar index when each new saturation maximum is established. Exhaustion Event Detection : When current saturation drops below the configured fraction of the recorded saturation peak, an exhaustion event fires, triggering structural level placement at the recorded peak price. Adaptive Band Construction : The band multiplier interpolates between the minimum (saturated, tight) and maximum (exhausted, wide) settings based on current saturation, scaling MAD to determine upper and lower band distances from the EMA baseline. Trend State Logic : Price crossing above the raw upper band triggers bullish state; crossing below the raw lower band triggers bearish state; state persists until the opposite breach occurs. Signal Generation : State transitions from bearish to bullish produce buy labels; bullish to bearish transitions produce sell labels, both plotted at MAD-scaled offsets from price. Exhaustion Level Lifecycle : Planted levels extend rightward with zone boxes, dashed midlines, and price labels until price closes beyond the zone boundary with ATR buffer confirmation, at which point the level is removed. Retest Detection : When price re-enters an active exhaustion zone after the minimum origin bar offset, a retest signal fires with a configurable cooldown enforced between subsequent retests on the same level. Together, these elements form a continuously updating conviction map that simultaneously tracks trend state and marks the structural fingerprints left by exhausted momentum. Interpretation Dynamic Trend Pivots should be interpreted as a conviction-weighted trend framework with exhaustion-derived structural reference levels: Bullish Trend State (Green) : Established when price closes above the raw adaptive upper band, indicating a conviction-supported upward directional breach. Bearish Trend State (Magenta) : Established when price closes below the raw adaptive lower band, signaling a conviction-supported downward directional breach. Band Cloud : Visual gradient zone fills between the outer band edge and close, with opacity and color reflecting current trend state and providing a continuous conviction boundary reference. Band Width Dynamics : Tight bands indicate high pulse saturation (elevated conviction), while wide bands reflect saturation decay (diminished conviction and increased caution). ▲ Buy Signals : Green upward triangles mark bullish state initiations at upper band crossovers, plotted below the bar at a MAD-scaled offset. ▼ Sell Signals : Red downward triangles mark bearish state initiations at lower band crossunders, plotted above the bar at a MAD-scaled offset. Exhaustion Zone : ATR-scaled rectangular zones centered on the saturation peak price mark prior conviction exhaustion locations, with colored borders and subtle fills distinguishing bull from bear exhaustion origin. Exhaustion Midline : Dashed line through the precise saturation peak price within each zone provides a high-precision structural reference at the exact level of maximum prior conviction. ◆ Origin Marker : Diamond label plotted on the bar where each exhaustion event occurred, marking the conviction peak location for retrospective analysis. ✦ Retest Signals : Small star diamonds mark price re-entry into active exhaustion zones after the origin buffer period, identifying potential reaction points within proven conviction regions. Retest Extension Lines : Horizontal lines projected forward from retest bar highs or lows mark the retest price level for ongoing reference. Colored Candles : Optional bar coloring reflects trend state and fades toward neutral as saturation decays, providing an immediate visual exhaustion cue. Note: The original chart candles must be disabled in chart settings for the conviction-colored candles to display properly. Saturation state, band width dynamics, and exhaustion level proximity outweigh isolated price movements in isolation. Signal Logic & Visual Cues Dynamic Trend Pivots presents two primary trend interaction signals alongside a continuous exhaustion level monitoring system: Buy Signal (▲) : Green triangle appears when trend state switches from bearish to bullish via upper band crossover, indicating conviction-supported directional shift to the upside. Sell Signal (▼) : Red triangle displays when trend state switches from bullish to bearish via lower band crossunder, indicating conviction-supported directional shift to the downside. Exhaustion zone retests provide secondary structural signals when price revisits prior conviction peak regions after the minimum origin offset, subject to per-level cooldown enforcement. Alert generation covers bullish and bearish state switches, exhaustion events triggering new level placement, and both bullish and bearish retest occurrences for systematic structural monitoring. Strategy Integration Dynamic Trend Pivots fits within conviction-informed and structural level-based trading approaches: Conviction-Confirmed Entries : Use band crossover signals as trend initiation points where saturation-supported conviction has driven price through the adaptive boundary, rather than acting on low-conviction crossovers during band expansion. Saturation-Based Position Sizing : Scale exposure relative to current pulse saturation — favor larger positions during high-saturation fresh trend conditions and reduce sizing as conviction decays and bands widen. Band-Width Risk Calibration : Expect tighter price ranges and more reliable directional follow-through during contracted band periods; treat expanded bands as a signal of reduced trend reliability requiring tighter risk management. Exhaustion Level Trade Planning : Use planted exhaustion zones as anticipatory structural levels — price reactions at these zones reflect the influence of the same conviction dynamics that originally caused the momentum peak and collapse. Retest-Based Re-entry : Treat exhaustion zone retests as lower-risk re-entry or continuation opportunities within established trends, using the midline as a precision reference for entry and invalidation. Multi-Timeframe Conviction Hierarchy : Apply higher-timeframe trend state and exhaustion level locations as directional bias filters while using lower-timeframe pulse signals for entry precision. Technical Implementation Details Core Engine : EMA-based trend baseline with MAD volatility measurement Conviction Model : Close-position ratio within high-low range with directional agreement gating Pulse System : Capped accumulation with configurable multiplicative decay between conviction events Band Construction : Linear interpolation between min/max multipliers based on saturation, scaling MAD offset from EMA baseline Exhaustion Detection : Saturation peak tracking with configurable drop threshold triggering level placement Visualization : Gradient-filled band cloud with ATR-scaled exhaustion zones, dashed midlines, and retest extension lines Signal Logic : Raw band crossover state-switch detection with saturation-faded candle coloring Performance Profile : Optimized for real-time execution with configurable level caps managing object count Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure conviction tracking for scalping with responsive pulse and tight band settings 15 - 60 min : Intraday trend identification with balanced decay characteristics and moderate exhaustion sensitivity 4H - Daily : Swing-level conviction trend mapping with sustained pulse persistence and wider exhaustion zone tolerance Suggested Baseline Configuration: Trend Length : 21 Close Zone : 0.30 Pulse Decay : 0.85 Pulse Cap : 8 MAD Length : 17 Band Min (Saturated) : 1.4 Band Max (Exhausted) : 2.2 Exhaustion Drop : 0.4 Max Levels : 8 Break Buffer (ATR) : 0.25 Show Band Cloud : Enabled Color Candles : Enabled (requires disabling original chart candles in chart settings) Show Buy/Sell Signals : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's volatility characteristics, conviction frequency, and preferred signal density, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive signal noise : Increase Trend Length for a smoother baseline or tighten Close Zone toward 0.2 to demand more extreme close positioning before conviction is registered. Missed conviction events : Widen Close Zone toward 0.4 for more inclusive bar qualification or decrease Trend Length for a more reactive baseline. Pulse sustains too long : Decrease Pulse Decay toward 0.5 for faster conviction fade between qualifying bars, accelerating band expansion during low-conviction periods. Pulse fades too quickly : Increase Pulse Decay toward 0.99 to sustain saturation longer between conviction events, maintaining tighter bands through minor pullbacks. Bands too tight or wide across the board : Adjust Band Min and Band Max multipliers to rescale the full saturation-to-exhaustion band range for the instrument's volatility characteristics. Too many exhaustion levels forming : Increase Exhaustion Drop threshold toward 0.6 to demand a more severe saturation collapse before a level is planted, filtering for higher-conviction exhaustion events only. Levels not forming frequently enough : Decrease Exhaustion Drop toward 0.2 to plant levels on more modest saturation pullbacks, increasing structural level density. Levels breaking too easily : Increase Break Buffer ATR multiplier to require a more decisive close beyond the zone boundary before invalidation occurs. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with clear conviction phases where pulse saturation builds and sustains before exhausting at structural turning points Instruments with consistent bar structure where close positioning within the range reliably reflects directional commitment Momentum continuation strategies entering on fresh pulse saturation signals with contracted bands Structural level frameworks benefiting from exhaustion-derived reference zones rather than arbitrary pivot-based support and resistance Reduced Effectiveness: Choppy, low-conviction environments where close positioning provides unreliable directional signals and pulse saturation builds and collapses rapidly without sustained directional follow-through Extremely gapped or news-driven markets where bar range structure becomes discontinuous and close positioning loses meaningful conviction interpretation Mean-reversion dominant conditions where band breaches quickly reverse without sufficient pulse saturation to sustain directional state Low-volatility compression periods where MAD scaling produces narrow bands that generate frequent false crossovers Consolidation and sideways conditions where conviction builds in alternating directions without achieving the sustained saturation required for reliable trend state establishment Integration Guidelines Confluence : Combine with BOSWaves order flow tools, volume analysis, or multi-timeframe structure indicators for layered confirmation Saturation Respect : Prioritize signals and level interactions occurring during high-saturation periods; treat low-saturation crossovers and retests with reduced confidence Exhaustion Awareness : Monitor candle fade coloring as an early warning of declining conviction before formal signal generation confirms a state change Level Hierarchy : Treat exhaustion levels planted during peak saturation events as higher-conviction structural references than levels formed during moderate saturation peaks Retest Discipline : Use exhaustion zone retests as continuation confirmation rather than reversal triggers unless accompanied by opposing band crossover signals Disclaimer Dynamic Trend Pivots is a professional-grade conviction analysis and structural level mapping tool. It uses pulse accumulation modeling with adaptive band construction and exhaustion-driven level placement but does not predict future price movements. Results depend on market conditions, instrument conviction characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates order flow context, volume analysis, and comprehensive risk management.
Chỉ báo Pine Script®
của BOSWaves
Ultimate Scalping Tool 2.0 [BullByte]Ultimate Scalping Tool 2.0 What This Tool Was Built For UST 2.0 is a flux oscillator designed to help scalpers and intraday traders read market state more clearly. It sits in the lower pane of your chart and shows you whether the current market environment is trending cleanly, compressing before a move, chopping in a range, or losing momentum after an extension. The core idea is simple. Four internal measurements feed into one oscillator. Each measurement looks at a different part of market behavior: how cleanly price is traveling, whether momentum is meaningful given current volatility, what volatility itself is doing, and whether participation is building or fading. These four readings are weighted differently depending on what the market is doing right now. During a trend, directional measurements get more weight. During compression, volatility and flow get more weight. During a range, momentum and participation matter most. The output is displayed as a candle on the oscillator pane. The candle color, the regime label, the confluence histogram, and the structural overlays all update on every bar to give you a current read on conditions. This is not a signal generator. It is a state monitor. You still need to decide when and how to act. --- Why Version 2.0 Exists Separately Ultimate Scalping Tool Version 1.0 is still published. It uses a different internal structure and outputs labeled signals like Strong Buy and Pullback Sell. Many traders built their workflows around that approach, and changing it would have broken their setups. Keeping both versions available lets traders choose the workflow that fits how they trade. Version 2.0 shifts away from signal labels toward market state classification. The four internal measurements are different. The adaptive weighting engine is different. The visual output is different. The confluence scoring, multi-timeframe context, and oscillator-native zones are all new. The two scripts serve related but different purposes, which is why they exist side by side rather than as an update that replaces the first one. The continuity between them is the Flux State Candle concept. That visualization approach worked well enough in version 1.0 that it became the foundation for how version 2.0 displays its output. --- One Engine, Not a Collection of Indicators This is worth addressing directly because it is easy to look at a script that mentions RSI, ATR, and Bollinger Bands and assume it is just wrapping existing indicators together. That is not what is happening here. RSI does not appear on the chart. ATR does not appear on the chart. Bollinger Bands do not appear on the chart. None of the four internal measurements produce a visible output of their own. They are inputs into a calculation that produces one single output: the Flux Oscillator value. That value is then displayed as a candle. The reason RSI is used inside the Adaptive Momentum subsystem is not because RSI is a good indicator to show. It is because RSI gives a normalized momentum reading on a known scale, which makes it easier to combine mathematically with the other three measurements on equal footing. The period is not fixed. It changes at runtime based on current volatility, which standard RSI does not do. The output is scaled before it enters the weighting engine. What comes out the other side is not RSI. It is one weighted component of a composite reading. The same logic applies to ATR inside the Volatility Regime subsystem and to bar-structure calculations inside the Flow Proxy. These are raw materials, not finished products. They feed a pipeline that produces something different from any of them individually. The four subsystems were chosen because they answer four different questions: is price traveling efficiently, is momentum meaningful right now, is volatility expanding or contracting, and is participation building or fading. Those four questions together give a more complete picture of market state than any one of them alone. That is the design intent, and it is why the adaptive weighting engine matters. Different market conditions make different questions more relevant. The engine adjusts accordingly. --- The Four Internal Measurements The oscillator is built on four subsystems. Each one measures something the others do not. Directional Efficiency looks at how cleanly price is moving. A market that travels 100 points in a straight line has high efficiency. A market that gyrates up and down while netting only 20 points forward has low efficiency. This helps you see whether a trending move is organized or grinding. For scalping, clean efficient moves are easier to work with than choppy grinders. Adaptive Momentum uses RSI internally but selects the period based on current volatility. When volatility is high, it uses a shorter period to stay responsive. When volatility is low, it uses a longer period to reduce noise. The reading is then adjusted so that momentum in a high-volatility environment is not overstated and momentum in a quiet environment is not understated. Volatility Regime combines three volatility signals: where ATR sits within its recent range, whether short-window ATR is rising or falling relative to long-window ATR, and where Bollinger Band width sits within its range. Positive values mean volatility is expanding. Negative values mean it is contracting. Deep negative values below -0.20 usually mean the market is compressing hard, which often precedes directional expansion. Flow Proxy estimates directional participation from bar structure and relative volume. It approximates buying versus selling pressure using close position within range, price velocity weighted by volume, and absorption detection for high-volume bars with small bodies. This is not true order flow because that requires tick data. It is a proxy built from OHLCV data, and it behaves like one. These four readings are combined using weights that shift based on what the market is doing. You get one oscillator value per bar. That value is displayed as a candle, classified into a regime state, scored for confluence, and optionally blended with a higher-timeframe context reading. --- How the Regime Classification Works The script classifies every bar into one of four states: TREND UP, TREND DOWN, COIL, or RANGE. When efficiency is strong, momentum is aligned, and volatility is not compressing, the regime is TREND . When efficiency is low, volatility is compressing hard, and participation is building, the regime is COIL . When none of those conditions are met, the regime is RANGE . The regime label appears near the bottom of the pane on the last bar. The background tint changes subtly based on the regime. This classification affects how the four measurements are weighted before they combine into the oscillator value. --- The Confluence Histogram The gold histogram at the bottom of the pane shows the confluence score from 0 to 100. The score measures how aligned six independent factors are: regime matches oscillator direction, oscillator magnitude is strong, the four internal measurements agree on direction, the higher timeframe aligns with the current one, flow quality is clean without absorption, and volatility context supports the current structure. A low score means conditions are mixed or weak. A high score means the environment is organized and several factors are confirming the same picture. The histogram grows taller as the score rises. When the bar is short and dark amber, confluence is low. When the bar is tall and bright gold, confluence is high. This is useful for filtering. If you are watching for a breakout from a consolidation and confluence is at 80, the setup has more environmental support than the same breakout pattern with confluence at 30. The score does not tell you to enter or exit. It tells you whether the broader conditions are organized or scattered. --- How to Read the Flux State Candle The candle is built from the oscillator value, not from price. Green candles mean the oscillator is above its moving average. Red candles mean it is below. Violet candles mean a volume absorption bar was detected , which is a specific condition where high volume produced a small-bodied bar. The border brightness increases when the oscillator is further from its moving average. A bright border means conviction. A dim border means the reading is close to neutral. When the candle is consistently green and the cloud below it is stacked with the fast line above the slow line, the oscillator trend is internally aligned in a bullish direction. When the candle flips to red and the cloud inverts, the oscillator trend is bearish. When the cloud is mixed and candles are alternating color frequently, the oscillator is in a transition or range state. --- Oscillator-Native Zones and Trendlines The red and green-cyan lines you see on the oscillator pane are support and resistance zones, but they are zones on the oscillator itself, not on price. They mark levels where the oscillator has repeatedly turned. These are built from confirmed pivot highs and lows. When the oscillator approaches a red resistance zone that has been touched five times, you know the flux reading is approaching a level where it has reversed before. If price is near a key price level at the same time and confluence is high, that convergence can add weight to a reversal setup you are already watching on the price chart. The cyan and orange trendlines work the same way. They connect confirmed swing points on the oscillator. A cyan ascending trendline from oscillator swing lows tells you the oscillator structure is building higher. An orange descending trendline from oscillator swing highs tells you the oscillator structure is weakening lower. These lines appear after the swing points are confirmed, not before. All of these structural tools use confirmed pivot logic, which means they appear a few bars after the actual turning point. This is intentional. Unconfirmed pivots fail frequently. Waiting for confirmation removes most of the false starts. When you see a zone or trendline appear or update, it is showing you structure that has been validated by subsequent price action, not structure that might form. Reading the oscillator structure in practice looks like this. Two red resistance lines sitting around +25 and +30 on the oscillator, both labelled R MAJO R, tell you that every time flux has pushed up into that band it has been rejected. That ceiling has held six and seven touches respectively. Until flux breaks and closes above those two red lines, the upside is capped on the oscillator. Below there is an S ZONE 3T sitting near -15. That is the floor that has caught the most recent bounce. On the trendline side, three cyan ascending lines rising from the lower left are bull trendlines built from oscillator swing lows. The lowest at TL 52% is the broadest support. The middle at TL 66% is tighter. The top at TL 74% is the steepest and most recent. If flux bounces off the TL 74% line, that is the most important touch right now. An orange descending line pressing down from above is the bear trendline. When flux is squeezed between a rising cyan trendline and a falling orange trendline, that is a classic wedge compression on the oscillator and it often precedes a directional expansion once one side breaks. --- Divergence Labels When the oscillator and price stop agreeing on direction, the divergence engine marks it on the chart. There are four labels. Each one means something specific. DIV+ appears below the oscillator at a swing low. It means price made a lower low on the price chart, but the oscillator made a higher low at the same point. The downward move is losing internal support. This is regular bullish divergence and it tends to appear near potential exhaustion of a downward move. DIV- appears above the oscillator at a swing high. It means price made a higher high on the price chart, but the oscillator made a lower high at the same point. The upward move is losing internal support. This is regular bearish divergence and it tends to appear near potential exhaustion of an upward move. H+ appears as a small circle at a swing low. It means price made a higher low, a normal pullback in an uptrend, but the oscillator made a lower low. The oscillator dipped deeper than price did. This is hidden bullish divergence. It often appears mid-trend during a pullback and can suggest the trend is likely to continue. H- appears as a small circle at a swing high. It means price made a lower high, a normal pullback in a downtrend, but the oscillator made a higher high. The oscillator pushed higher than price did. This is hidden bearish divergence. It often appears mid-trend during a bounce and can suggest the downtrend is likely to continue. All four labels appear a few bars after the actual swing point because the pivot must be confirmed by subsequent bars before the label is placed. When you see a label appear, it is sitting on a past bar where the swing has already been validated. Nothing is marked in advance. The label was not there before, and it will not move or disappear after it appears. --- How This Fits Into a Price Action Workflow Here is one example of how the tool can layer into a real trade setup. You are watching a 5-minute chart. Price has been consolidating in a tight range for the last hour. On the main price chart, you see a clean horizontal level being tested multiple times. That is your setup area. You are waiting for a breakout. You glance at the oscillator pane. The regime label says COIL. The flux candles are small and alternating color near the zero line. The confluence histogram is rising and just reached 65. VRI in the dashboard shows -0.25, which is hard compression. COFP is positive and building. This tells you the oscillator agrees with what you are seeing on price: the market is compressing. Volatility is contracting. Participation is starting to build in one direction. Confluence is improving, meaning the internal measurements are starting to agree. You wait. Price breaks the consolidation upward on increased volume. At the same moment, the flux candle turns bright green with a strong border. The regime label flips to TREND UP. The confluence histogram jumps to 78. The cloud stacks bullish. The dashboard shows all four internal measurements turned positive. You already know where your entry is from the price chart. The oscillator is not telling you to buy. The oscillator is telling you the conditions support the breakout you are watching. Efficiency turned positive, meaning price is traveling cleanly. Momentum confirmed. Volatility started expanding. Flow is directional. The environment is organized. You take the trade based on your price-action plan. You manage the trade from price structure. But while you are in the trade, you glance at the oscillator occasionally. If the flux candle stays green and confluence stays high, conditions remain supportive. If the candle turns red and confluence drops, you tighten your management because the internal read is weakening. A real chart example of what COIL into expansion looks like: Gold on the 3-minute chart shows a full cycle, a base building through the early session, a strong impulsive rally, then a controlled rollover where the oscillator hugs just above zero with the regime label reading COIL. The oscillator has compressed hard after the post-peak selloff, and the cyan ascending bull trendline is now acting as the floor of the oscillator structure. This is the compression phase the tool is designed to identify before the next directional move develops. --- What This Tool Does Not Do This script does not tell you where to enter or exit. It does not produce buy and sell signals. The flux candle, the regime label, the confluence score, and the structural overlays all describe conditions, not actions. The zones and trendlines on the oscillator are not price levels. They are oscillator levels. They tell you where the oscillator has turned before, not where price will turn next. The HTF oscillator is a simplified version of the current-timeframe calculation. It uses fixed parameters and reduced components for cross-timeframe stability. It is useful for context, but it is not identical to the full engine running on the higher timeframe. Pivot-based elements appear after confirmation, which means they lag the actual pivot by the confirmation period . This is intentional. The tradeoff is fewer false signals at the cost of slightly delayed information. Confluence measures environmental alignment, not trade direction. A high score means conditions are organized. A low score means they are not. Neither tells you to buy or sell. --- Recommended Timeframes and Settings This tool works best on intraday timeframes from 1 minute to 1 hour. For active scalping, use 1-minute to 5-minute charts with the HTF set to 15 minutes. For slightly slower intraday swings, use 15-minute to 60-minute charts with the HTF set to 4 hours or daily. The multi-timeframe panel should show timeframes that are meaningfully different from your chart timeframe. If you are on 5 minutes, set the panel to 15 minutes, 60 minutes, and 240 minutes. If the panel shows timeframes that are too close together, the readings will be nearly identical and provide no additional information. The default settings are balanced for general use. If the oscillator is too noisy, increase the DER length or the AMVS base period. If the oscillator is too slow, decrease them. If zones and trendlines are appearing too frequently, increase the minimum touch requirements. If they are not appearing enough, decrease them. The adaptive weighting setting should generally stay on unless you have a specific reason to use fixed manual weights. The adaptive behavior is part of how the tool adjusts to different market conditions. --- Understanding the Limitations No indicator can predict the future . This tool shows you the current state of several internal measurements and how aligned they are. It does not know what will happen next. Markets can shift from organized to chaotic in seconds. A high confluence reading can drop to low confluence on the next bar if one of the internal measurements changes direction. That is normal. The tool is reactive, not predictive . The S/R zones and trendlines are based on past oscillator behavior. Just because the oscillator turned at a zone five times before does not mean it will turn there again. Past structure informs context but does not guarantee repetition. Divergence suggests momentum quality is changing. It does not guarantee reversal. Many divergences resolve with price continuing in the original direction after a brief pause or consolidation. Volume absorption detection is based on relative volume and body size. It identifies a specific bar condition but does not tell you how the market will respond to that condition. --- A Note on Expectations This script was built to give scalpers and intraday traders more clarity about market state. It was not built to replace chart reading, price action analysis, or trade management discipline. If you are looking for a tool that tells you exactly when to enter and exit, this is not that tool. If you are looking for a tool that helps you see whether the current environment is organized or messy, whether internal measurements are aligned or conflicting, and whether higher-timeframe context supports or opposes your intended direction, this can help with that. The best results come when the oscillator is used as confirmation for setups you are already identifying from price structure, not as a standalone signal generator. The flux candle, regime label, confluence score, and structural overlays are all context layers. They work best when layered on top of solid price action principles, not in place of them. --- Disclaimer This script is published for educational purposes. Trading involves substantial risk of loss. No indicator or tool can eliminate that risk. Past performance of any indicator does not predict future results. The author is not responsible for any trading decisions made using this script. Always apply your own risk management, test thoroughly on demo or simulation before live use, and never risk more than you can afford to lose. - BullByte
Chỉ báo Pine Script®
của BullByte
4
Equilibrium Momentum Shift + Divegence [BigBeluga]🔵 OVERVIEW Equilibrium Momentum Shift is a range-based momentum oscillator designed to measure how far price has deviated from its current equilibrium. Instead of focusing purely on trend direction or overbought/oversold conditions, this indicator evaluates price relative to the midpoint of its recent range and quantifies the strength of the shift away from that balance. By combining normalized range deviation, smoothing techniques, and nonlinear compression, the indicator provides a clear view of when markets transition from equilibrium into directional momentum, now featuring Normal Divergence detection to spot potential trend reversals. 🔵 CONCEPT Equilibrium Midpoint — The midpoint between the highest high and lowest low over the selected range length represents the equilibrium price. Deviation Measurement — The indicator measures how far the current price has moved away from this midpoint. Range Normalization — Deviations are normalized relative to the size of the current range, allowing the oscillator to remain consistent across different volatility conditions. Momentum Compression — A hyperbolic tangent function compresses extreme values, stabilizing the oscillator and preventing runaway signals during large trends. Divergence Identification — Automatically identifies discrepancies between price action and the oscillator to highlight weakening momentum in established trends. 🔵 HOW IT WORKS 1️⃣ Equilibrium Range Calculation The indicator calculates the highest high and lowest low over the user-defined range length. The midpoint between these two levels forms the equilibrium line. This midline represents the center of balance for recent price activity. 2️⃣ Price Deviation Measurement The distance between the current close and the equilibrium midpoint is calculated. This deviation is then smoothed using a double EMA structure to reduce noise. The smoothed value is normalized relative to half of the current range size. 3️⃣ Nonlinear Oscillator Transformation A hyperbolic tangent function compresses normalized deviations into a stable range between -1 and +1. This transformation prevents extreme outliers and creates a more interpretable oscillator. 4️⃣ Momentum Histogram A signal line is generated using EMA smoothing. The difference between the oscillator and the signal line forms a histogram. The histogram behaves similarly to a MACD-style momentum indicator: Expanding bars indicate strengthening momentum. Contracting bars indicate weakening momentum. 5️⃣ Normal Divergence Logic Bullish Divergence: Occurs when price makes a Lower Low , but the Equilibrium Oscillator makes a Higher Low . This suggests that despite the price drop, the selling pressure relative to equilibrium is fading. Bearish Divergence: Occurs when price makes a Higher High , but the Equilibrium Oscillator makes a Lower High . This indicates that the buyers' ability to push price away from the midpoint is losing strength. 🔵 KEY FEATURES Equilibrium midpoint plotted directly on the chart. Range-normalized momentum oscillator. Hyperbolic tangent compression to stabilize signals. MACD-style histogram for momentum acceleration detection. Automatic Normal Divergence labels to spot exhaustion. Gradient-colored oscillator line reflecting directional bias. Dashboard displaying real-time momentum metrics. 🔵 DASHBOARD METRICS Shift — Current oscillator value showing how far price has moved from equilibrium. State — Market regime derived from oscillator thresholds: Bullish Bearish Neutral Range Position — Location of price inside the current range expressed as a percentage. Pressure — Magnitude of momentum deviation from equilibrium. 🔵 HOW TO USE Use the equilibrium midline as a dynamic balance reference. When the oscillator moves above zero, bullish momentum dominates. When the oscillator moves below zero, bearish momentum dominates. Trading Divergences: Watch for divergence labels when price is at historical range extremes. A bullish divergence near the "Lowest Low" of the range suggests a high-probability mean-reversion trade back toward equilibrium. Histogram expansions highlight momentum acceleration. Histogram contraction can signal potential momentum exhaustion. 🔵 INTERPRETING MOMENTUM SHIFTS Oscillator near zero → Market is balanced around equilibrium. Oscillator above 0.2 → Bullish momentum phase. Oscillator below -0.2 → Bearish momentum phase. Divergence Label + Oscillator Flatline → High probability of a trend reversal or deep pullback. Rapid oscillator expansion → Strong directional pressure. Oscillator flattening → Momentum compression or consolidation. 🔵 CONCLUSION Equilibrium Momentum Shift offers a structured way to analyze how price behaves relative to its recent balance point. By measuring normalized deviations from equilibrium and visualizing momentum shifts with a smoothed oscillator, histogram, and integrated divergence analysis , the indicator helps traders identify when markets transition from balance into directional movement. This makes it especially useful for spotting early momentum expansions, trend continuation signals, and potential exhaustion points where price is likely to snap back to its equilibrium midpoint.
Chỉ báo Pine Script®
của BigBeluga
6
Daily Bias | Flux ChartsGENERAL OVERVIEW Daily Bias is a session-based bias tool built to help traders understand whether the current session is more likely to be bullish, bearish, or neutral. It tracks the key liquidity levels from the Asia, London, and New York sessions, along with important higher-timeframe levels like the previous 1-hour, 4-hour, and daily highs and lows. It then watches for sweeps of those levels, checks whether price rejects them or keeps moving, reads what the previous session likely did, and uses a simple lower-timeframe structure to confirm direction. All of that is combined into one clear dashboard, so instead of only showing a bullish or bearish bias, the indicator also shows why that bias is being given. [SCREENSHOT: Chart showing session zones, HTF liquidity lines, and the Daily Bias dashboard WHAT IS THE THEORY BEHIND THIS INDICATOR? The main idea behind this indicator is that one session often sets up the next one. Price will often run above a known high or below a known low to take liquidity first. After that, the important question is whether the price keeps going, or rejects that move and turns back. That reaction gives a clue about the likely direction of the next session. For example, if the previous session trades above a key high but then falls back below it, that shows rejection from the highs and can suggest bearish pressure for the current session. If the previous session trades below a key low but then climbs back above it, that shows rejection from the lows and can suggest bullish pressure for the current session. This indicator reads that behavior automatically by looking at what the previous session did around important liquidity levels. It also keeps an eye on major intraday reference points like the previous 1-hour high and low, 4-hour high and low, and previous day high and low, because price often reacts around those areas. Then it checks whether the market is starting to confirm that idea on lower timeframes. After that, everything is brought together into one final bias: bullish, bearish, or neutral. The dashboard does not just show the bias — it also shows the reasoning behind it, so traders can quickly understand why the indicator is leaning in a certain direction. SCREENSHOT: Example showing a liquidity sweep followed by a reversal. DAILY BIAS FEATURES The Daily Bias indicator includes 9 main features: Sessions Liquidity (Asia, London, NY) Higher Timeframe Liquidity (1H, 4H, Previous Day) Liquidity Level Labels Sweep Markers Historical Levels Session Profile Classification Lower Timeframe Structure Confirmation Final Bias Engine Daily Bias Dashboard Each component operates independently while sharing the same underlying liquidity logic. All features feed into a unified dashboard that displays the current state of the bias decision, along with detailed tooltips on every cell. SESSIONS LIQUIDITY 🔹 What Is a Session? A session is a fixed time window within the trading day during which a major financial center is most active. The Asia session corresponds to the Tokyo trading window, London corresponds to the European morning, and NY corresponds to the US morning. Each session tends to deliver a characteristic style of price action, and the highs and lows formed inside them often act as draws on liquidity for the next session. 🔹 How the Indicator Tracks Sessions The Daily Bias indicator tracks three key trading sessions and maps out each one directly on the chart with its own colored range, session high and low, and session label. By default, the sessions are based on the New York time zone: Asia: 20:00 – 22:00 London: 02:00 – 04:00 New York: 10:00 – 12:00 As soon as a session begins, the indicator starts building that session’s range in real time. It expands the zone as price moves and keeps updating the session high and session low until the session closes. Once the session is complete, the final high, low, open, and close of that session are saved and used later by the bias logic. This matters because the completed session range becomes an important liquidity reference for the sessions that follow. In other words, the indicator is not just drawing session boxes for visuals, it is using those completed session highs and lows as part of the read on where price may want to trade next. These session drawings only appear on intraday charts and are automatically hidden on daily and higher timeframes. SCREENSHOT: Asia, London, and NY session boxes plotted across an intraday chart 🔹 Session Titles and Extension Lines When enabled, each session displays a title label above its box. Once a session ends, its high and low are extended forward as horizontal lines until replaced by the next instance of that same session. Each session has independent color controls for its high line and low line. Default colors are teal/maroon for Asia, blue/orange for London, and purple/green for NY. SCREENSHOT: session extension lines with titles active after the session closes 🔹 Customization Options Show / Hide toggle per session Session zone color and opacity per session High and low line colors per session Session titles toggle and label size (Tiny, Small, Normal, Large, Huge) Line style (Solid, Dashed, Dotted) and line width (1-5) HIGHER TIMEFRAME LIQUIDITY 🔹 What Is Higher Timeframe Liquidity? A higher-timeframe high or low is the extreme price reached during the most recently completed candle on a higher timeframe. These levels are visible on every higher timeframe chart, which makes them natural locations for stop-loss orders and pending breakout orders to accumulate. 🔹 How the Indicator Tracks HTF Liquidity The indicator tracks three higher-timeframe liquidity sources: the previous 1-Hour high and low, the previous 4-Hour high and low, and the previous Day high and low. When a new higher-timeframe candle begins, the previous candle's final high and low are archived and drawn as horizontal lines on the chart. These levels remain visible until replaced by the next completed candle and are also used by the bias engine to classify session profiles. SCREENSHOT: 1H, 4H, and Previous Day high and low extension lines on 5m chart 🔹 Extend Levels When Extend Levels is enabled, all HTF liquidity lines extend forward by a user-defined number of bars beyond the current bar, making them easier to see as future targets. The extension distance is shared across all three HTF sources. 🔹 Customization Options Show / Hide toggle per source (1H, 4H, Previous Day) High and low line colors per source Extend Levels toggle and bar count (0-100) Line style (Solid, Dashed, Dotted) and line width (1-5) LIQUIDITY LEVEL LABELS The Daily Bias indicator displays labels next to each tracked liquidity level on the right edge of the chart. When two or more sources fall on the exact same price, the text is automatically merged with an ampersand (for example, "1H & 4H High") so the label shows at a glance how many sources align there. SCREENSHOT: merged liquidity labels showing combined sources 🔹 Customization Options Show Labels toggle Label color (global) Label size (Tiny, Small, Normal, Large, Huge) SWEEP MARKERS A liquidity sweep occurs when the price trades beyond a previously established high or low, triggering resting stop orders at that level. When Sweep Markers is enabled, a small red diamond appears above any candle that sweeps a high-side liquidity level, and a small green diamond appears below any candle that sweeps a low-side level. SCREENSHOT: chart with sweep markers active, showing both high and low sweep diamonds The same sweep events also feed the Current Status section of the dashboard and the bias engine, regardless of whether the markers are visually enabled. 🔹 Customization Options Show / Hide toggle (off by default) HISTORICAL LEVELS By default, the Daily Bias indicator shows only the most recent set of sessions and HTF liquidity lines. When Historical Levels is enabled, older lines from previous sessions and previous higher-timeframe candles remain visible on the chart, anchored at their original times. Up to 60 historical lines per side per source are kept on the chart at once. When the limit is exceeded, the oldest line is automatically deleted. SCREENSHOT: chart with Historical Levels enabled showing older session and HTF lines 🔹 Customization Options Show / Hide toggle (off by default) SESSION PROFILE CLASSIFICATION 🔹 The Four Profiles Once a session ends, the indicator examines how the session interacted with all tracked liquidity sources and assigns one of four profiles: ◇ Consolidation: the session did not clearly sweep any tracked liquidity level ◇ Manipulation (Sweep Only): the session swept one side of liquidity but did not close back through it ◇ Reversal: the session swept one side of liquidity and closed back through it in the opposite direction ◇ Complex: the session swept both high-side and low-side liquidity, making direction unreliable SCREENSHOT: example of a Bullish Reversal session that swept a low and closed back above it SCREENSHOT: example of a Complex session that swept both highs and lows 🔹 How the Indicator Classifies Sessions At the close of each session, the indicator checks whether the session high exceeded any tracked high-side liquidity level and whether the session low exceeded any tracked low-side level. If both sides were swept, the profile is Complex. If neither side was swept, the profile is Consolidation. If only one side was swept, the indicator then checks whether the session close ended back inside the range — if yes, the profile is Reversal; if no, the profile is Manipulation. 🔹 Profile Direction and Color Coding Each profile carries an associated direction and color in the dashboard: ◇ Consolidation: Neutral (gray) ◇ Manipulation: Neutral, leaning bullish or bearish (orange) ◇ Bullish Reversal: Bullish (lime) ◇ Bearish Reversal: Bearish (red) ◇ Complex: Neutral (yellow) LOWER TIMEFRAME STRUCTURE CONFIRMATION 🔹 What Is Structure Confirmation? Structure confirmation is a check against the previous 5-minute and 15-minute highs and lows. The current bar's close must trade above one of those previous highs to qualify as bullish-confirmed, or below one of those previous lows to qualify as bearish-confirmed. 🔹 How the Indicator Uses Structure Confirmation When Use 5m/15m Confirmation is enabled (default on), the bias engine requires the structure check to agree with the expected direction before assigning Bullish or Bearish to the Final Bias. If structure is not yet confirmed, the bias remains Neutral and the dashboard reason explains that the engine is waiting for confirmation. When disabled, the bias engine assigns direction purely from the session profile and current liquidity events. The dashboard 5m/15m Structure cell displays one of four states: Bullish, Bearish, Not Confirmed, or Off. FINAL BIAS ENGINE 🔹 How the Engine Decides Direction The Final Bias is the indicator's primary output. It combines the previous session's profile, the current session's live liquidity activity, and (optionally) the lower-timeframe structure confirmation into a single directional decision. The decision logic is rule-based and depends on the previous session's profile. ◇ If the previous session was Consolidation: the engine waits for the current session to perform its own manipulation and reversal. If the Current Status shows a remembered Bullish Reversal and structure agrees, the Final Bias becomes Bullish. The bearish case is symmetric. ◇ If the previous session was Manipulation (Sweep Only): the engine waits for the current session to confirm the reversal the previous session left incomplete. ◇ If the previous session was Reversal: the engine expects continuation in the same direction. ◇ If the previous session was Complex: the engine refuses to assign a directional bias. The Final Bias is Neutral. ◇ If no session is currently active: the Final Bias is Neutral with reason "No active session." 🔹 Final Bias Output The Final Bias is displayed in the dashboard as Bullish (lime), Bearish (red), or Neutral (gray). Every bias decision is paired with a Reason line that explains the exact rule that produced the current value. SCREENSHOT: dashboard Final Bias showing Bullish with corresponding Reason line DAILY BIAS DASHBOARD The Daily Bias indicator includes a built-in dashboard that displays the current state of every component used in the bias decision. The dashboard is divided into four sections: a header, Session Context, Bias Engine, and Reason. Every cell that contains a value also includes a tooltip that explains what the value means and why it currently shows what it does. 🔹 Session Context Current Session: the session price is trading in right now (Asia, London, NY, or None) Previous Session: the session that immediately preceded the current one Current Status: the most recent remembered liquidity event from any tracked source, updated every time a sweep or reversal occurs, and remembered until a newer same-source event replaces it 🔹 Bias Engine Previous Profile: the classification of the previous session (Consolidation, Manipulation, Reversal, or Complex) Previous Direction: the directional takeaway from the previous session profile Expected Now: what the engine expects from the current session based on the previous session's profile 5m/15m Structure: the current structural state from the lower-timeframe confirmation system Final Bias: the engine's current directional decision 🔹 Reason The bottom row displays the exact reason behind the current Final Bias in plain English. This text changes dynamically as the engine state changes. 🔹 Tooltips Every cell has its own tooltip that explains both what the field means in general and why the current value is what it is. For example, hovering over Previous Profile when the value is Bullish Reversal reveals: "Previous Profile means the profile of the previous session, which is NY. It is Bullish Reversal because that session swept low-side liquidity at PD Low and then closed back above it." This makes the dashboard fully self-documenting. 🔹 Customization Options Show / Hide Dashboard toggle Text size (Tiny, Small, Normal, Large) IMPORTANT NOTES The Daily Bias indicator is designed to run on intraday timeframes. Session tracking is automatically disabled on Daily, Weekly, and Monthly charts. The indicator uses the America/New_York time zone for all session calculations. The 5m/15m structure confirmation reads only closed previous candles and produces no future-looking data. The bias engine is intentionally session-anchored — outside of the three tracked sessions, the Final Bias remains Neutral with reason "No active session." UNIQUENESS The Daily Bias indicator focuses on session-anchored directional bias by combining session profile classification, live liquidity event tracking, and lower-timeframe structure confirmation into a single transparent system. Unlike indicators that only display levels or only show signals, every decision the engine makes is exposed on the dashboard along with a plain-English Reason line and detailed tooltips on every cell. The session profile system classifies each completed session into one of four distinct states by examining how it interacted with three higher-timeframe liquidity sources and two cross-session sources at once. The Current Status system remembers the most recent valid liquidity event across all six tracked sources. The bias engine combines profile, expected behavior, current status, and structure into a single directional decision that is fully traceable from cell to cell.
Chỉ báo Pine Script®
của fluxchart
1
Rejection Block Quality [AGPro Series]Rejection Block Quality 🔹 OVERVIEW Rejection Block Quality is an ICT-inspired detector that identifies long-wick rejection candles at swept swing pivots and grades each block by objective quality criteria. Unlike Order Block logic — which anchors to the last opposite-direction body before displacement — a Rejection Block (RB) is born from a wick that pierces a prior swing liquidity pool and closes back inside it, with the body confirming displacement on the follow-through bar. The rectangle is drawn from the wick base to the candle body, capturing the exact zone where smart money absorbed the sweep. 🎯 UNIQUE EDGE Three design choices separate this tool from generic wick or order block indicators: • Swing-pivot sweep requirement — a rejection is only counted when price sweeps a confirmed swing high or low before the reversal close. Stand-alone wick patterns without liquidity context are filtered out. • Displacement confirmation window — the candle following the rejection must travel at least 0.6× ATR in the reversal direction, within a 1–5 bar lookahead. No displacement, no block. • Quality tiering (A / B / C) from three orthogonal factors — wick-to-body ratio, displacement magnitude, and untested freshness. An exceptional wick ratio (≥5× body) promotes a block to A tier regardless of other scores, preserving rare high-conviction rejections. 🛠️ METHODOLOGY Detection pipeline on every bar: 1. Confirm a pivot sweep using a user-configurable lookback (default 5 bars each side). 2. Check the wick-to-body ratio against a minimum threshold (default 1.8×), with the dominant wick on the sweep side. 3. Queue the candle as a pending block and wait for displacement confirmation. 4. Measure displacement as price travel from the body reference over 1 to 5 bars, normalized by ATR. 5. On confirmation, draw the RB zone from the wick base to the body, record the tier, and begin lifecycle tracking. Zone lifecycle tracks four events — test (price enters the zone), hold (price exits without a body close through the far edge), break (body close through the far edge), and near miss (price approaches within a configurable ATR band without entering). All events are edge-detected to prevent inflated counts when price lingers near a zone. 📊 SIGNALS & ALERTS • New block formation label — A / B / C tier plus wick ratio, placed with anti-collision offset. • Test markers (T) — one per zone entry event, with cooldown to prevent visual clutter. • Break markers (B) — placed when a zone is invalidated by a body close. • Wick border highlight — thick colored line on the originating rejection candle. • Alerts — configurable minimum tier (A, B, or C) fires once per bar close for each qualifying new block. ⚙️ KEY INPUTS • Detection — Pivot Length, Min Wick-to-Body Ratio, ATR Length, Min Displacement (× ATR), Displacement Confirm Window. • Zone Management — Max Active Zones per Side, Zone Right Extension, Near-Miss Distance, Near-Miss Cooldown, Break Requires Full Body Close. • Visuals — Show Zones, Show Tier Labels, Highlight Rejection Wick Border, Show Test / Hold / Break Markers, Zone Fill Opacity, Label Font Size. • Panel — Show Panel, Panel Location, Panel Font Size, Panel Theme (Dark / Light). • Alerts — Minimum Tier for Alerts. 🧭 HOW TO USE Start on a higher timeframe (4H or 1D) to identify macro RB zones, then drill down to execution timeframes for entries. Treat A-tier blocks as the highest-conviction zones, B-tier as situational, and C-tier as context-only. Combine with trend filters, higher-timeframe structure, and risk management — a Rejection Block is a zone of interest, not a standalone buy or sell signal. Use the panel statistics to evaluate how the selected symbol and timeframe have historically respected these zones before committing to them in live decision-making. ⚠️ LIMITATIONS & TRANSPARENCY This indicator is a structural detector, not a trading strategy. It does not forecast price direction, generate entry or exit orders, or calculate position sizing. The Success Rate statistic reflects how often past tests on detected zones held versus failed within the visible history — it is a descriptive metric, not a performance projection. Zone detection is historical and reactive: a block only appears after the displacement bar closes, so interpretation on live-forming bars is tentative. Performance varies by symbol, timeframe, and market regime. ⚠️ RISK DISCLOSURE Trading involves substantial risk of loss. Past behavior of any pattern does not guarantee future outcomes. Use this tool as part of a complete analytical framework that includes your own risk management, position sizing, and broader market context. Nothing in this indicator or description constitutes financial advice.
Chỉ báo Pine Script®
của AGProLabs
3
Delta Volume Structure [CLEVER]📌 Overview Concept and Objective Delta Volume Structure (DVS) is an analytical overlay tool developed to model directional volume pressure using standard OHLCV candle data. The core concept of the script is to estimate how trading volume may be distributed relative to price movement inside each bar and across broader session structures. Traditional volume indicators typically display total traded volume per candle without distinguishing directional participation. DVS approaches this limitation by applying structured estimation logic that attempts to approximate buying and selling pressure based on measurable candle characteristics such as range, body position, and wick structure. The goal is not to replicate true bid/ask transaction data, but to provide a consistent, rule-based framework for interpreting volume behavior within the constraints of standard chart data. The primary objective of the script is to enhance contextual analysis of price action. Instead of producing automatic trade entries or predictive signals, DVS is designed to help users evaluate: Relative strength of directional participation Imbalance between estimated buying and selling pressure Momentum shifts reflected in cumulative delta flow Structural pressure development during a session Potential absorption or exhaustion characteristics All calculations are derived exclusively from historical OHLCV data available on the active chart. The script does not access external order flow feeds, bid/ask transaction streams, or broker-specific execution data. As a result, delta values represent modeled approximations rather than confirmed executed trade-side data. The tool is structured to support analytical decision-making rather than replace it. Its objective is to provide additional volume-based context alongside price structure, allowing users to assess how participation dynamics may align or diverge from visible price movement. DVS is intended for educational and analytical use. It does not provide financial advice, guaranteed outcomes, or performance claims. Users are encouraged to apply independent judgment and appropriate risk management when interpreting its outputs. 📐 Delta Estimation Framework The Delta Estimation Framework forms the computational foundation of the script. Its purpose is to approximate directional volume pressure using only standard OHLCV (Open, High, Low, Close, Volume) candle data available on the chart. Since true bid/ask transaction data is not accessible within standard chart feeds, the framework does not attempt to replicate actual executed buy and sell orders. Instead, it applies rule-based mathematical modeling to estimate how total candle volume may be proportionally distributed between upward and downward price movement. 1️⃣ Directional Volume Modeling Approach The framework provides multiple configurable estimation methods. Each method applies a different interpretation of candle structure to assign directional bias to volume. • OHLC Proportional Distribution In this model, volume allocation is influenced by the candle’s internal range positioning. The relationship between open, high, low, and close is used to estimate how much of the range reflects upward displacement versus downward displacement. Volume is then proportionally distributed based on this relative movement within the candle’s total range. This approach attempts to reflect intrabar structural balance rather than relying solely on net bar direction. • Close vs Open Allocation This simplified model assigns directional bias based on whether the closing price is above or below the opening price. If the candle closes higher than it opens, volume is estimated as predominantly positive delta. If it closes lower, volume is estimated as predominantly negative delta. This method prioritizes net directional outcome rather than internal range structure. • Wick-Weighted Estimation The wick-weighted model considers the relationship between candle body and upper/lower wicks. Larger lower wicks may indicate rejection of lower prices, while larger upper wicks may indicate rejection of higher prices. Volume distribution is adjusted proportionally according to body-to-wick structure. This model attempts to incorporate intrabar rejection characteristics into directional estimation. 2️⃣ Delta Calculation For each candle, estimated buy volume and sell volume are derived using the selected allocation model. Delta is calculated as: Estimated Buy Volume − Estimated Sell Volume The result represents a modeled directional imbalance for that bar. It is important to note that delta values generated by this framework are estimations derived from price structure and total volume. They do not represent confirmed trade-side execution. 3️⃣ Optional Smoothing and Noise Control To reduce short-term volatility in delta readings, optional smoothing can be applied using configurable moving average logic. This allows users to balance responsiveness against stability depending on timeframe and instrument behavior. Smoothing does not introduce forward-looking data and operates strictly on historical bars. 4️⃣ Cumulative Delta Integration Individual bar delta values can be aggregated into cumulative delta (CVD). The framework supports configurable reset conditions such as: Continuous accumulation Daily reset Weekly reset This enables users to evaluate directional pressure across different structural horizons. Cumulative calculations are derived solely from previously calculated delta values and do not incorporate future data. 5️⃣ Framework Limitations Because the estimation logic is based entirely on OHLCV candle structure: It does not use bid/ask execution data. It does not access order book information. It does not represent confirmed institutional order flow. It reflects modeled approximations rather than transaction-level precision. The framework is designed to provide structured analytical context within the constraints of available chart data. Summary The Delta Estimation Framework offers a configurable, rule-based system for approximating directional volume pressure using measurable candle characteristics. Its objective is to enhance contextual interpretation of participation dynamics while remaining fully dependent on standard historical data. It is intended for analytical and educational use and should be interpreted alongside independent market structure analysis and risk management practices. 📊 Cumulative Delta and Session Structure Conceptual Foundation Cumulative Delta (CVD) within this script is designed as a structured aggregation of the previously calculated per-bar delta values. Rather than analyzing directional imbalance on a single candle basis, cumulative delta provides a running total of modeled buy–sell pressure over a defined period. The objective is to observe how directional participation evolves across time, not to predict future price movement or replicate institutional order flow. All calculations rely strictly on historical OHLCV data available on the chart. 1️⃣ What Cumulative Delta Represents Each bar produces an estimated delta value derived from the selected delta estimation framework. Cumulative Delta is calculated as: Previous CVD + Current Bar Delta This produces a continuous directional pressure curve that reflects how modeled imbalance builds or unwinds over time. It is important to clarify: CVD is a derived analytical metric. It does not represent confirmed executed buy/sell volume. It does not access bid/ask trade-level data. It reflects structured modeling within data limitations. 2️⃣ Session-Based Structure To improve contextual clarity, the script allows cumulative delta to operate within defined structural boundaries. Instead of accumulating indefinitely, CVD can reset based on session logic. Supported structural modes may include: • Continuous Mode CVD accumulates across all visible historical bars without reset. Useful for observing long-term directional participation trends. • Daily Reset CVD resets at the beginning of each trading day. This isolates intraday pressure dynamics. • Weekly Reset CVD resets at the beginning of each trading week. This allows mid-term directional evaluation without long-term carryover distortion. Reset logic is time-based and relies strictly on chart session boundaries. No forward-looking data is used. 3️⃣ Why Session Segmentation Matters Without structural segmentation, cumulative data may become skewed by distant historical activity. Session-based resets allow users to: Compare relative strength between trading sessions Evaluate intraday participation shifts Identify whether directional pressure is sustained or fading Contextualize price movement within a defined structural window This segmentation enhances analytical clarity but does not alter the underlying delta estimation method. 4️⃣ Divergence Observation When price forms higher highs while cumulative delta fails to confirm, or when price forms lower lows while delta stabilizes, users may observe structural divergence patterns. However: The script does not label signals as predictive. Divergence should be interpreted as contextual information. No guarantee of reversal or continuation is implied. All interpretations remain discretionary. 5️⃣ Internal Data Handling The cumulative calculation process: Uses only previously calculated delta values Avoids repainting logic Does not reference future bars Updates strictly at bar close (unless user enables real-time intrabar updates within platform limits) This ensures transparency and compliance with platform standards. 6️⃣ Structural Limitations Because cumulative delta is derived from modeled directional allocation: It does not represent actual order flow imbalance. It does not replace exchange-level footprint data. It may behave differently across assets with varying liquidity profiles. Users should consider timeframe, instrument volatility, and volume characteristics when interpreting results. Summary Cumulative Delta and Session Structure within this script provide a rule-based framework for tracking modeled directional participation across defined structural windows. By combining delta aggregation with session segmentation, the tool aims to enhance contextual analysis of market pressure while remaining fully dependent on historical chart data. It is intended for analytical and educational use and should be combined with independent risk management and broader market structure evaluation. 🎯 Advanced Pressure and Imbalance Metrics Conceptual Objective Advanced Pressure and Imbalance Metrics are designed to extend basic delta analysis into a more structured interpretation of participation dynamics. Instead of observing raw delta values alone, this framework evaluates how directional imbalance behaves relative to price structure, volatility, and session boundaries. The purpose is not to generate guaranteed signals or predictive outcomes, but to provide layered analytical context derived strictly from historical OHLCV data. All metrics remain model-based estimations and do not represent confirmed transaction-side execution. 1️⃣ Relative Delta Strength Raw delta values can vary significantly across assets and timeframes. To improve interpretability, the script may normalize or scale delta readings relative to: Average session volume Recent rolling delta averages Candle range expansion This produces a contextual pressure measurement rather than an absolute number. For example: A moderate delta reading during low volume conditions may represent stronger relative pressure. A large absolute delta during extreme volatility may represent balanced participation when scaled proportionally. Normalization helps reduce distortion without introducing forward-looking logic. 2️⃣ Imbalance Intensity Mapping Imbalance intensity refers to the magnitude of directional pressure relative to structural price movement. The script may evaluate: Delta relative to candle range Delta relative to recent volatility Acceleration or deceleration of cumulative delta slope This allows identification of: Sustained directional participation Exhaustion behavior Gradual absorption Pressure compression zones These observations are descriptive, not predictive. 3️⃣ Price–Delta Structural Relationship Rather than treating delta in isolation, the framework evaluates how imbalance interacts with price behavior. Common structural observations may include: • Expansion with Participation Price moves directionally while delta confirms consistent imbalance. • Expansion with Weak Participation Price continues higher or lower while delta flattens or contracts. • Compression Before Break Price consolidates while delta gradually builds in one direction. These conditions are analytical interpretations and should not be treated as automatic trade signals. 4️⃣ Delta Acceleration & Deceleration Beyond absolute values, the framework may assess the rate of change of delta. This includes: Increasing slope of cumulative delta Sudden spike in single-bar imbalance Progressive reduction in directional intensity Acceleration metrics attempt to capture changes in participation tempo rather than static pressure. All calculations are derived from previously computed delta values and do not reference future data. 5️⃣ Session-Weighted Pressure Context When session segmentation is enabled, imbalance metrics are evaluated within the boundaries of the active session. This allows users to observe: Early session dominance Mid-session absorption Late-session exhaustion patterns Session weighting ensures that pressure analysis reflects local structural conditions rather than distant historical accumulation. 6️⃣ Visual Representation Logic Advanced pressure metrics may be displayed using: Gradient-based histogram intensity Heatmap-style background zones Delta slope curves Threshold-based markers Visual elements are representations of calculated data and do not modify underlying calculations. All visual updates occur using historical bar information only. 7️⃣ Limitations and Data Constraints These metrics operate within the following constraints: No bid/ask level trade data No order book depth No access to tick-level execution classification Dependent on candle-based modeling As such, the imbalance framework reflects structured estimation rather than exchange-confirmed order flow. Behavior may vary across instruments with differing liquidity profiles. Analytical Intent The Advanced Pressure and Imbalance Metrics are designed to: Provide layered context to delta behavior Highlight participation shifts Enhance structural observation within sessions Support discretionary analysis They are not designed to guarantee profitability, predict reversals, or replace independent risk management practices. Summary The Advanced Pressure and Imbalance Metrics expand basic delta modeling into a structured evaluation of participation strength, acceleration, and structural interaction with price. All calculations remain fully derived from historical OHLCV data and operate within clearly defined modeling limitations. The framework is intended for analytical and educational use and should be interpreted alongside broader market structure analysis. 📉 Divergence and Structural Detection Conceptual Foundation Divergence and Structural Detection within this framework is designed to evaluate the relationship between modeled directional pressure (delta / cumulative delta) and visible price structure. The objective is not to predict reversals or confirm future price movement, but to identify conditions where price expansion and participation pressure are no longer aligned. These structural differences may provide analytical context for discretionary decision-making. All divergence calculations rely strictly on previously computed delta values and historical OHLCV data. 1️⃣ What Structural Divergence Represents Divergence occurs when: Price forms a new structural high while cumulative delta fails to form a corresponding high Price forms a new structural low while cumulative delta fails to form a corresponding low This indicates a potential imbalance between visible price movement and modeled participation pressure. It is important to clarify: Divergence is an observational condition, not a predictive signal It does not guarantee reversal It does not confirm exhaustion It reflects structural mismatch within historical data 2️⃣ Types of Divergence Observed • Bearish Structural Divergence Price prints higher highs while cumulative delta forms lower highs or flattens. Interpretation context: Participation intensity may be weakening relative to price expansion. This does not imply immediate downside movement. • Bullish Structural Divergence Price prints lower lows while cumulative delta forms higher lows or stabilizes. Interpretation context: Directional selling pressure may be reducing relative to price decline. This does not imply guaranteed upside reversal. • Hidden Structural Divergence In some configurations, continuation-type divergence may also be observed: Price forms higher low while delta forms lower low Price forms lower high while delta forms higher high These observations reflect structural shifts in participation relative to pullbacks. All divergence types are derived from swing comparisons within defined lookback windows. 3️⃣ Swing Detection Methodology Structural comparisons require identification of local swing points in price and cumulative delta. Swing detection may use: Configurable lookback periods Fractal-based high/low recognition Pivot confirmation logic Range-based filtering All pivot detection operates using confirmed historical bars only. No future data or repainting logic is used beyond normal pivot confirmation delay. 4️⃣ Structural Strength Filtering To reduce noise, divergence logic may incorporate filtering conditions such as: Minimum delta magnitude threshold Minimum price swing distance Session-bound comparison Volatility-adjusted swing qualification This ensures divergence is evaluated within meaningful structural movement rather than minor fluctuations. Filtering enhances clarity but does not eliminate false positives. 5️⃣ Multi-Session Context When session segmentation is enabled, divergence may be evaluated: Within the active session Across session boundaries Relative to prior session cumulative extremes This allows contextual interpretation of whether divergence reflects intraday imbalance or broader structural shift. 6️⃣ Visualization Logic Divergence detection may be displayed through: Connecting swing lines Highlighted pivot markers Structural labeling Subtle background indication Visual representation does not alter the underlying delta computation. All signals are plotted using confirmed bar data to maintain transparency. 7️⃣ Practical Interpretation Considerations Divergence should be evaluated alongside: Market structure (trend vs range) Volatility regime Volume expansion or contraction Higher timeframe context Divergence in isolation does not provide sufficient confirmation for trade execution. 8️⃣ Limitations Because delta itself is modeled from OHLCV data: Divergence reflects modeled imbalance, not confirmed order flow It does not access tick-level trade classification Results may vary across assets with different liquidity structures Short timeframes may produce higher noise frequency Users should adjust structural sensitivity according to timeframe and instrument behavior. Summary The Divergence and Structural Detection module evaluates the relationship between price swings and modeled cumulative delta behavior. By identifying structural mismatches between price movement and directional pressure, the framework provides contextual insight into participation dynamics. All calculations are historical, rule-based, and non-predictive in nature. The feature is intended for analytical and educational use and should be combined with independent market structure analysis and disciplined risk management. 🧩 Dashboard Architecture Conceptual Overview The Dashboard Architecture in this script is designed as a structured information layer that consolidates multiple analytical outputs into a single, readable interface. Instead of displaying isolated indicators separately, the dashboard organizes delta, volume, cumulative metrics, and structural signals into a unified layout. The objective is to improve readability and decision context by presenting computed values in a compact format. It does not introduce new predictive logic; it only visualizes already calculated data in a structured form. All displayed values are derived from historical OHLCV-based calculations within the script. 1️⃣ Core Design Philosophy The dashboard follows a multi-row, multi-column structured grid system. Each cell represents a specific analytical metric, grouped by functional categories such as: Delta and volume behavior Cumulative delta structure Imbalance and participation metrics Trend and momentum context Session-based statistics This modular layout ensures that each category remains visually separated while still contributing to an integrated market view. 2️⃣ Multi-Layer Information Structure The dashboard is organized into layered rows, where each row represents a different level of analytical depth: • Primary Layer (Core Metrics) This layer focuses on immediate market pressure representation, such as: Delta values Buy/sell proportion Imbalance ratio Aggregated pressure score These values reflect short-term participation structure. • Secondary Layer (Behavioral Context) This layer expands interpretation by including: Cumulative delta status Trend classification Momentum state Strength scaling of participation It provides context to raw pressure readings without altering their computation. • Structural Layer (Session & Flow Context) This layer focuses on broader structural behavior: Session cumulative delta Flip counts and directional shifts Institutional footprint flags Absorption and climax counts It helps in understanding how market behavior evolves over time within a session boundary. • Diagnostic Layer (Pressure Visualization) This layer translates numeric relationships into readable classifications such as: Strong / weak participation Balanced / imbalanced flow High / low volatility pressure states Streak-based directional behavior These classifications are derived from thresholds and ratios, not external data. 3️⃣ Data Aggregation Logic The dashboard does not compute raw indicators independently. Instead, it aggregates already calculated internal variables, such as: Delta (bar-level directional estimation) Cumulative delta (session-based accumulation) Volume averages (rolling statistical baseline) Price structure metrics (range, position, body size) This ensures that the dashboard remains a visualization layer rather than a computation engine. 4️⃣ Dynamic Update Mechanism All dashboard values update in real-time based on completed bar data. The update process follows these principles: No forward-looking calculations No repainting beyond standard bar confirmation behavior Updates occur only when new bar data is confirmed Session resets apply when configured time boundaries are reached This maintains consistency between plotted data and displayed values. 5️⃣ Visual Hierarchy System The dashboard uses a structured visual hierarchy to improve readability: Color coding distinguishes bullish, bearish, and neutral conditions Font emphasis highlights key metrics Section separators visually isolate analytical groups Grid alignment ensures consistent comparison across metrics The visual design supports interpretation but does not influence calculations. 6️⃣ Session Integration Layer Session-based logic plays a key role in dashboard behavior. Metrics are optionally reset or segmented based on: Daily session boundaries Weekly session boundaries Continuous accumulation mode This allows the dashboard to reflect either intraday behavior or extended structural flow depending on configuration. 7️⃣ Performance and Optimization Considerations To maintain efficiency: Computations are reused rather than recalculated where possible Rolling functions are applied with fixed lookback windows Table updates are optimized through structured cell updates No unnecessary external data calls are used This ensures stable performance even with high-frequency updates. 8️⃣ Interpretation Boundaries The dashboard is a visualization framework only. It does not: Predict future price movement Guarantee trade outcomes Replace market structure analysis Access real order book data All displayed insights are derived strictly from historical OHLCV-based calculations. Summary The Dashboard Architecture provides a structured visualization layer that organizes multiple delta-based and volume-based metrics into a unified analytical interface. It enhances readability by grouping related market behavior indicators into a clean, hierarchical grid system while maintaining strict reliance on historical data inputs. The system is designed for analytical clarity and observational context rather than predictive functionality, ensuring compliance with platform standards and maintaining transparency in data representation. 📌 How It Works ⚙️ Core Concept The core idea is that the market is not interpreted through single candle values or simplified price points, but as a continuous intrabar auction process where buyers and sellers actively compete at every price level. Instead of treating Open, High, Low, and Close as summary values, each candle is analyzed as a full internal price journey. 📊 Intrabar Price Path Logic Every candle is assumed to contain a complete price path rather than a single directional move. This means price is considered to have traveled through multiple levels within the candle, creating micro-interactions of buying and selling. These internal movements are used to reconstruct how activity was distributed across price levels. 🔥 Volume Distribution Mechanism Instead of assigning volume to only one price point, volume is distributed across the entire path of the candle. Each segment of price movement receives a proportional share of volume based on how the market behaved during that movement. This creates a more accurate representation of real participation in the market. 🎯 Market Behavior Interpretation This structure helps identify hidden market behavior that traditional candle analysis cannot show. It reveals where liquidity was actively consumed, where acceptance occurred, and where rejection started. Essentially, it exposes the underlying order flow behavior behind each candle. 🧠 Final Understanding Overall, the system is designed to combine price action with intrabar volume distribution, allowing the market to be read as an auction-based structure rather than a simple sequence of candles. This makes it possible to understand institutional-level activity more clearly and accurately. ⚙️ Core Concept 📌 Market as an Auction System The market is best understood as a continuous auction where buyers and sellers constantly compete to agree on price. Every candle represents a mini-auction session rather than a simple directional move. Price is not random; it is the outcome of repeated negotiations between aggressive buyers and aggressive sellers at different levels. 📊 Price Discovery Process In this auction system, price continuously moves to find areas of acceptance and rejection. When buyers dominate, price is pushed upward until sellers step in. When sellers dominate, price is pushed downward until buyers absorb the supply. This ongoing interaction forms the structure of price discovery within every candle. 🔥 Liquidity Interaction Model Each price level inside a candle represents a point where liquidity is tested. The market does not move in a straight line; it moves by consuming available liquidity step by step. Strong participation at certain levels indicates acceptance, while weak participation indicates rejection zones. 🎯 Imbalance Between Buyers and Sellers The core driver of movement is imbalance. When buying pressure outweighs selling pressure, the auction shifts upward. When selling pressure dominates, the auction shifts downward. This imbalance is what creates trends, reversals, and consolidations in the market. 🧠 Final Understanding Ultimately, viewing the market as an auction system means understanding that every price movement is the result of real-time competition between buyers and sellers. Price only changes when one side becomes stronger than the other, making market structure a direct reflection of underlying order flow behavior. 📌 How It Is Used ⚙️ Core Usage Idea This system is used to read the market as a liquidity-driven auction, where the main focus is not prediction based on patterns, but interpretation of who is in control (buyers or sellers) at specific price zones. Traders use it to understand where real participation is happening and where the market is likely to react due to imbalance. 📊 Identifying High-Probability Zones One of the primary uses is to detect important price zones such as high-volume areas, value areas, and low-volume gaps. These zones act as decision points where price either continues its trend or reverses. Traders use these areas to plan entries and exits based on acceptance or rejection of price. 🔥 Understanding Market Pressure The system is used to measure buying and selling pressure through volume distribution and delta behavior. When buying pressure consistently dominates at higher levels, it signals bullish strength. When selling pressure dominates at lower levels, it signals bearish control. This helps in reading real market intent rather than guessing direction. 🎯 Entry and Exit Timing Traders use this structure to refine timing. Entries are typically planned at points where the market shows imbalance shift or rejection from low-volume zones. Exits are often planned near high-volume nodes or value boundaries where price is likely to slow down or consolidate. 📐 Trend Continuation and Reversal Detection This approach is also used to identify whether a trend is strong or weak. If volume supports the direction consistently, the trend is considered strong. If volume starts shifting against the direction, it signals potential exhaustion and reversal. 🧠 Final Practical Understanding In practical use, this system is not just an indicator but a decision-making framework. It helps traders read real-time market behavior, understand institutional activity, and align trades with actual liquidity flow instead of relying on simple chart patterns or lagging signals. 📌 How the Concepts Work Together ⚙️ Unified Market Structure The real strength of this system appears when all components are combined into a single framework. The market is not analyzed as isolated indicators, but as a unified structure where price action, volume distribution, session behavior, and order flow pressure all interact simultaneously to define market intent. 📊 Price and Volume Integration First, the full candle movement (Open, High, Low, Close) is combined with volume distribution. Instead of assigning volume to a single price point, it is spread across the entire intrabar price path. This reveals where actual trading activity occurred and which price levels attracted real participation. 🔥 Auction and Liquidity Behavior The market is treated as a continuous auction where liquidity is constantly being tested and consumed. High-volume zones represent areas of acceptance where the market is comfortable trading, while low-volume zones represent inefficiency where price tends to move quickly due to lack of participation. 🎯 Delta and Pressure Confirmation After volume distribution, delta analysis is used to confirm whether buyers or sellers are in control. When price movement aligns with strong delta, it confirms trend strength. When price moves against delta, it signals weakening momentum and potential reversal conditions. 📐 Session-Based Context Filtering Each movement is evaluated within its specific trading session (Asia, London, New York). This helps filter noise and highlights periods of strong institutional activity. It also shows when the market is likely to trend versus when it is likely to consolidate. 🔗 Step-by-Step Combined Workflow The full intrabar price path is analyzed Volume is distributed across price levels Key zones such as POC, VAH, VAL, HVN, and LVN are formed Delta confirms buying or selling pressure Session context validates market strength Final interpretation (trend, reversal, breakout) is derived 🧠 Final Combined Understanding When all components work together, the market is no longer viewed as random price movement. It becomes a structured auction map where every move has a clear reason—showing where liquidity exists, who is in control, and how institutional participation is shaping price behavior. 📌 Key Features 📊 Path-Based Volume Distribution One of the core features is the ability to distribute volume across the entire intrabar price path instead of assigning it to a single candle close. This allows the system to show where actual trading activity happened inside each candle, giving a more realistic view of market participation and liquidity flow. 🔥 Session-Based Market Segmentation The system divides the market into separate trading sessions such as Asia, London, and New York. Each session behaves differently in terms of volatility and liquidity. By isolating sessions, the indicator highlights institutional participation periods and removes mixed noise from different market phases. 🎯 Value Area and Control Zones It automatically identifies key structural zones such as Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL). These zones represent areas where the market has accepted price or rejected it, helping traders understand balance and imbalance in market structure. 📐 High and Low Volume Nodes (HVN / LVN) The system highlights areas of concentrated and thin volume. High Volume Nodes indicate strong acceptance zones where price tends to consolidate, while Low Volume Nodes represent inefficiency zones where price can move rapidly due to lack of liquidity. 🔥 Delta and Pressure Analysis A key feature is the calculation of buying and selling pressure through delta. This shows whether buyers or sellers are dominating at specific price levels. It helps identify strength behind moves rather than just direction. ⚡ Dynamic Real-Time Updating The structure updates in real-time as new candles form. Each new price movement adjusts volume distribution, zones, and pressure metrics. This makes the system adaptive and responsive to changing market conditions. 🎯 Institutional Footprint Detection By combining volume, price path, and delta, the system reveals hidden institutional behavior. It helps identify where large participants are entering or exiting the market, which is often invisible in traditional indicators. 🧠 Final Understanding Overall, the key features work together to transform raw price action into a structured market map. This map shows liquidity distribution, control zones, pressure imbalance, and real-time institutional activity, making the market behavior easier to interpret and analyze. ⚙️ Settings & Customization 📌 Core Customization Philosophy The main purpose of customization is to allow the system to adapt to different trading styles, strategies, and risk preferences. The default configuration only provides a baseline structure, while real effectiveness comes when the user fine-tunes the tool according to how they read and trade the market. 🕒 Session Settings Control Session customization allows traders to select which trading sessions to analyze, such as Asia, London, or New York. Each session has different liquidity and volatility characteristics. By enabling or disabling specific sessions, traders can remove unnecessary noise and focus only on high-impact market periods. 📊 Volume Sensitivity Adjustment This setting controls how detailed the volume distribution will be. Higher sensitivity reveals finer intrabar activity and micro-level participation, while lower sensitivity highlights only major liquidity zones. This allows traders to switch between precision-based analysis and simplified structure reading depending on their strategy. 🔥 Profile Resolution Control Profile resolution determines how finely the price path is divided. A higher resolution creates a more detailed and complex market structure, while a lower resolution produces a cleaner and more readable chart. Scalpers and intraday traders often prefer higher resolution, while swing traders prefer lower resolution for clarity. 🎯 Zone Display Options This customization allows users to enable or disable specific structural zones such as: Point of Control (POC) Value Area High (VAH) and Value Area Low (VAL) High Volume Nodes (HVN) and Low Volume Nodes (LVN) Turning off unnecessary zones helps maintain a clean chart and improves decision clarity. 📐 Delta & Pressure Filters These settings control how buying and selling pressure is calculated and displayed. Strong filtering reduces noise and produces more stable signals, while weaker filtering increases sensitivity and produces earlier but more volatile signals. This directly impacts trend confirmation and reversal detection accuracy. ⚡ Real-Time Update Speed This setting defines how quickly the indicator updates with new price data. Faster updates are useful for scalping and fast execution strategies, while slower updates provide smoother and more stable analysis for swing or positional trading. 🧠 Final Customization Insight Overall, customization transforms the system from a fixed indicator into a flexible market analysis framework. By adjusting sessions, volume sensitivity, resolution, zones, and update speed, each trader can build a personalized structure that matches their trading style and improves decision-making accuracy. 🧠 Final Note ⚙️ Complete Market Understanding This entire system is designed to change the way the market is viewed. Instead of treating price as a simple line moving up and down, it reveals the market as a liquidity-driven auction environment where every movement is the result of real interaction between buyers and sellers. 📊 From Noise to Structure What looks like random candles on a chart is actually structured behavior. When volume is distributed across the price path and combined with session context and pressure analysis, the market stops being noise and starts forming a clear structure of acceptance, rejection, and imbalance. 🔥 Real Intent vs Visual Movement The key transformation is the ability to separate visual price movement from real market intent. A candle may look strong or weak visually, but true strength is confirmed only when volume, delta, and liquidity zones support that move. This is where hidden institutional activity becomes visible. 🎯 Decision-Making Clarity This framework does not predict the market; it helps interpret it. It gives clarity on where participation is strong, where liquidity is trapped, and where the market is likely to react. This reduces emotional trading and replaces it with structured decision-making based on data behavior. 🧠 Final Insight Ultimately, the final purpose of this system is to shift thinking from “guessing direction” to “reading behavior.” Once a trader understands how price, volume, and liquidity interact together, the market becomes less unpredictable and more logical. The real edge comes from understanding this hidden auction structure, not from any single indicator or signal. ⚠️ Disclaimer 📌 Educational Purpose Only This system, explanation, and all related concepts are provided strictly for educational and informational purposes. It is designed to help understand market structure, volume behavior, and auction-based price action, not to provide guaranteed trading results or financial advice. 📊 No Financial Advice Nothing in this content should be considered financial, investment, or trading advice. The interpretation of markets is highly subjective and depends on individual skill, experience, and risk management. Users are fully responsible for their own trading decisions. 🔥 Market Risk Warning Trading in financial markets involves high risk of loss, and it is possible to lose all invested capital. Past behavior, volume analysis, or indicators do not guarantee future performance. Market conditions can change rapidly and unpredictably. 🎯 No Guarantee of Accuracy Although the system is designed to improve market understanding, no method, indicator, or framework can predict the market with 100% accuracy. All signals, zones, and interpretations should be treated as analytical tools, not absolute outcomes. 🧠 User Responsibility Every trading decision made using this information is the sole responsibility of the user. Proper risk management, discipline, and independent verification are essential before entering any trade. ⚡ Final Note This content is meant to enhance market understanding and analytical thinking. It should be used as a supportive tool within a broader trading strategy, not as a standalone system for guaranteed profits. ⚠️ Repainting / Misleading Behavior (Important Note) Pivot-based signals in this script are based on confirmed swing points using ta.pivothigh and ta.pivotlow, which naturally appear only after a defined confirmation length (divergence period). To prevent misleading behavior, proper offset handling is applied so signals are plotted on validated structure rather than future or unconfirmed data. The script does not use any lookahead logic, does not access future data, and avoids security() misuse, ensuring that all signals are generated strictly from historical confirmed price action. ⚠️ Potential Risk Areas (Minor – Terminology Clarity) The variable is Institutional should be described carefully to avoid implying direct detection of real institutional orders, as this can be considered a misleading claim under publishing guidelines. Instead of stating that it “detects real institutional activity,” it is safer and more accurate to define it as identifying high-volume, compressed-range price behavior that may represent areas of increased participation or strong market activity. This ensures the description remains compliant, realistic, and focused on observable market data rather than unverified institutional inference.
Chỉ báo Pine Script®
của TheCleverTraders
Overbought & Oversold Zones - MTF SignalsOverbought & Oversold Zones - MTF Signals Overbought & Oversold Zones - MTF Signals is a visual analytical indicator that highlights extreme directional conditions directly on the price chart and across multiple timeframes. Instead of plotting an oscillator line in a separate pane, it paints gradient zones around price during periods of sustained buying or selling pressure, helping traders see exhaustion states at a glance. The indicator combines a custom Pressure Index calculation with a volatility-adjusted envelope to shape the zones, and a compact multi-timeframe panel that scans the current timeframe plus the three higher ones. This is a visual analytical tool intended for chart reading and context. It does not execute trades and does not provide financial advice. Key Features On-chart gradient zones highlighting overbought and oversold conditions Zones follow the shape of a dynamic volatility envelope (not rectangles) Multi-timeframe panel scanning current TF plus three higher TFs Merged phase logic that groups close-proximity conditions into single zones Adjustable sensitivity through ten preset levels Fully customizable colors and optional text labels Core Concept The indicator uses a custom Pressure Index model to evaluate how consistently price has been pushing above or below a volatility-adjusted baseline. Unlike traditional oscillators such as RSI (which measures gain/loss ratios) or Stochastic (which measures position within a range), Pressure Index combines two complementary components: Persistence — how consistently price has stayed above or below a volatility-adjusted baseline over the measurement window, weighted by normalized distance rather than as a binary above/below count Displacement — how far current price is from that baseline in ATR-normalized units The baseline adapts to volatility regime: during high-volatility periods the reference band widens to reduce false exhaustion signals, and during calm periods it tightens. Final output is bounded to a 0–100 scale and smoothed with a sensitivity-scaled EMA. Zone Visualization When the Pressure Index enters an extreme region, the indicator renders a three-layer gradient zone that follows the shape of the dynamic envelope: Overbought zones fade downward from the upper envelope into the channel Oversold zones fade upward from the lower envelope into the channel Zone thickness scales with ATR so the visual is comparable across markets and timeframes The gradient has three layers: a dense core band close to the envelope, a middle fade band, and an outer soft fade. This layered approach helps the zones visually surround the candles inside the extreme state rather than appearing as flat bars. Multi-Timeframe Panel A compact panel in the top-right corner of the chart displays the Pressure Index across the current timeframe and three higher timeframes (automatically selected from the standard ladder: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W, 1M). Each row shows: Timeframe label Horizontal gauge bar with a position marker Numeric Pressure Index value (0–100) State pill indicating Overbought (OB), Oversold (OS), or neutral direction The panel adapts its higher timeframes to whichever chart timeframe is currently active. The current chart timeframe is marked with a bullet indicator. Typical Analysis Workflow A common analytical workflow may include: Observing gradient zones on the main chart to identify extended conditions Checking the MTF panel to place the current reading in higher-timeframe context Evaluating price structure and candle behavior near zone edges Combining zone information with other forms of analysis and risk management Configuration Sensitivity — Controls how quickly the Pressure Index reacts to changes in price pressure. Lower values produce faster, more frequent signals. Higher values produce slower, steadier signals. Lower settings (1-3) — Faster reactivity, suitable for intraday charts and shorter timeframes Middle settings (4-6) — Balanced sensitivity, default for most markets and timeframes Higher settings (7-10) — Slower reactivity, suitable for swing and position-style chart reading On-Chart Display — Toggles the gradient zones on or off. Show Text Labels — Toggles "Overbought" and "Oversold" text labels that appear once per merged phase. Can be disabled for a cleaner chart. Show MTF Panel — Toggles the multi-timeframe panel. Appearance — Customizable colors for Overbought and Oversold zones, panel text size, and history rendering depth. Markets and Timeframes The indicator can be applied across multiple markets and timeframes: Forex Stocks and Indices Commodities Cryptocurrencies Because the zone thickness and Pressure Index smoothing are both normalized by ATR and sensitivity presets, the visual behavior remains consistent across different instruments and timeframes without manual re-tuning. Alerts Two alert conditions are available: Overbought Entry — triggers on the first bar a new Overbought state begins Oversold Entry — triggers on the first bar a new Oversold state begins Important Notes This indicator is an analytical visualization tool. It does not execute trades and does not provide financial advice. All outputs are informational and should be interpreted within the context of independent market analysis and proper risk management. Past behavior of any technical indicator does not guarantee future results. If you find this indicator useful, feel free to add it to your favorites and share your feedback in the comments. Community feedback helps improve future updates.
Chỉ báo Pine Script®
của MQLSoftware
2
Auto Trendlines MTF - Break/Retest [AGPro Series]Auto Trendlines MTF - Break/Retest 🔹 OVERVIEW Auto Trendlines MTF - Break/Retest is a multi-timeframe trendline visualization engine that automatically detects and draws the most structurally significant trendlines across three complementary scales: Micro (current timeframe), Meso (intermediate pivots), and Mega (HTF weekly/monthly overlay). Instead of relying on a single pivot scan, the engine builds a ranked candidate pool from each scale and selects the lines that best represent the active market structure around current price. The script is designed as a pure analytical visualization tool — it does not generate trading decisions, forecasts, or directional recommendations. Its purpose is to give the chart a clean, hand-drawn-quality trendline layer that updates automatically as new pivots form. 🎯 UNIQUE EDGE Most auto-trendline tools scan one timeframe and draw whatever fits. This engine operates differently in four specific ways: • Three-scale MTF engine. Micro pivots on the current TF, Meso pivots with wider sensitivity, and Mega trendlines derived from Weekly/Monthly HTF pivots are computed independently and rendered together with a visual hierarchy (Mega dominant, Meso intermediate, Micro active). • Log-space geometry. All trendline math runs in log-price space, so long-dated diagonals on volatile assets (crypto, growth stocks) do not distort visually when the chart is viewed in logarithmic mode. • Touch-weighted ranking with violation penalty. Each candidate line is scored by touch count, line age, slope sanity, price proximity, and intra-line violations. Weak geometry, over-sloped lines, and frequently violated lines are demoted automatically. • Q quality score (0–100) and confluence tags (x2/x3). Every drawn line carries a Q score that blends touches, freshness, geometry, relevance, and violations into a single number. Confluence tags surface when a Micro line and a Meso line sit within the same ATR band near price, highlighting multi-scale structure overlap. 🧠 METHODOLOGY 1. Pivot detection. Separate pivot streams are maintained for Micro (tight sensitivity), Meso (wider sensitivity), and Mega (HTF pivots via request.security). 2. Candidate generation. For each scale, the engine pairs anchor pivots with subsequent pivots to form line candidates, discards over-sloped ones, and computes touches, violations, and break status in log space. 3. Ranking. Candidates are scored by a weighted combination of touch count, time span, slope sanity, relevance to current price (distance in ATR), and violation count. The best non-duplicate lines are kept per scale. 4. Clutter guards. A minimum ATR separation rule prevents near-duplicate lines from stacking. Smart Focus hides far-from-price lines in Minimal/Balanced density modes to keep the chart readable. 5. Stability mode. In Locked mode, selected lines persist bar-to-bar and are only replaced when they break or fall out of the candidate pool — reducing visual repainting on lower TFs. 6. Break/Retest detection. Once a line is drawn, the engine tracks close-based breaks (with configurable tolerance) and subsequent retests within a time window, emitting labeled signals on TF ≤ 1D. ⚙️ SIGNALS & ALERTS Break and retest events are plotted for each scale with short ASCII tags: • µR / µS = Micro Resistance / Support break • mR / mS = Meso Resistance / Support break • MR / MS = Mega Resistance / Support break • rµ / rm / rM = retest on Micro / Meso / Mega respectively A dedicated alertcondition is exposed for every break and retest event, plus two aggregate alerts (Any BR, Any RT) for users who prefer a single alert stream. A Min Q filter lets the user suppress low-quality signals. 🛠️ KEY INPUTS • Profile Mode. Auto by Timeframe or Manual (Clean Trader, Balanced, Analyst, Presentation, Custom). • Density Override. Minimal, Balanced, or Bold visual density. • Line Weight Override. UltraThin, Thin, or Normal. • Labels / Signals / Stability / Broken-line behavior. All individually overridable. • Mega Overlay. Full (lines + cloud + label), Lines Only, or Off. • Advanced panels. Micro Engine, Meso Engine, Mega Engine, Ranking, Visuals, and Signals each expose their own fine-tuning controls for experienced users. • HUD. Position, theme (Classic Gray, Premium Accent, Color Coded, Showcase), and text size. 📘 HOW TO USE • Add the script to any liquid symbol and start on a 1H or 4H chart. • Leave Profile Mode on "Auto by Timeframe" for a balanced default that adapts to the active TF. • Read the HUD in the top-right corner to see the active profile, how many Micro/Meso lines are drawn, whether Mega is active, and current Q scores. • When a line carries a Q score above ~65 and a Conf tag (x2 or x3) appears nearby, that zone is a multi-scale structural pocket — use it as a planning reference, not as a trade trigger on its own. • Use the Break/Retest tags for situational awareness around drawn lines; combine with your own confirmation logic before acting. ⚠️ LIMITATIONS & TRANSPARENCY • Lines are drawn from historical pivots and can only confirm after a pivot is established. The engine avoids repainting in Locked mode but cannot predict future pivots. • Q scores and confluence tags describe structural quality, not directional probability. A high-Q line can still break. • Mega lines depend on HTF pivot availability; on very young symbols or thin charts, Mega may fall back to a Macro-pivot source or remain hidden. • The script is published as Public, Open Source so that every ranking rule, weight, and threshold is fully auditable in the source code. 🛡️ RISK DISCLOSURE This script is a visualization and analysis tool only. It is not financial advice, not a trading strategy, and not a signal service. No performance claims are made or implied. Past structural behavior of trendlines does not guarantee future behavior. All trading decisions, risk sizing, and execution remain the sole responsibility of the user.
Chỉ báo Pine Script®
của AGProLabs
1
Setup Quality Scorecard [AGPro Series]Setup Quality Scorecard Setup Quality Scorecard grades every bar on a transparent 0-100 scale across ten independent confluence dimensions. Instead of another signal generator, it is a quality filter: it tells you how strong the current setup is, which factors are firing, and how often similar past setups have followed through. Works on any symbol, any timeframe. 🔹 OVERVIEW Every trader has the same question before pulling the trigger: "Is this setup actually good, or am I forcing it?" Setup Quality Scorecard answers that question with a single auditable number. The composite score blends ten orthogonal factors — trend, momentum, volume, volatility, structure, S/R proximity, divergence, candle quality, session context, and higher-timeframe alignment — into a weighted 0-100 quality rating. Bars scoring above the A-Tier threshold are marked with support/resistance-style zones on the chart, so high-quality setup regions stay visible even as the market moves on. 🔹 UNIQUE EDGE Most quality indicators hide their internals behind a black-box algorithm. This one is fully transparent. Every factor exposes its own 0-10 score in the panel, every factor weight is user-adjustable, and every historical signal is evaluated against a forward-looking hit-rate test. There are no secret filters, no proprietary confidence bands, and no cherry-picked backtest. If a setup scores 87, you can see exactly which factors contributed and which did not. 🔹 METHODOLOGY Each of the ten factors is computed independently on the current bar and normalized to a 0-10 scale: 1. Trend Alignment — EMA 20/50/200 stack plus slope confirmation 2. Momentum — RSI zone position combined with 3-bar RSI delta 3. Volume Context — relative volume versus 20-period SMA, calibrated for real-world distribution 4. Volatility Regime — ATR percentile over the last 100 bars, favoring mid-range regimes 5. Structure — HH/HL or LH/LL confirmation via recent pivots 6. S/R Proximity — ATR-normalized distance to the nearest pivot level 7. Divergence — price-versus-RSI regular divergence captured at pivot time 8. Candle Quality — body-to-range ratio and wick balance 9. Session Context — active trading session weighting (London/NY overlap prioritized) 10. HTF Agreement — graduated higher-timeframe alignment scoring (full stack, partial stack, opposed regimes) The ten factor scores are weighted by user-adjustable coefficients, summed, and normalized to produce the final 0-100 composite. Tier labels (S / A / B / C / D) are assigned against user-configurable thresholds. 🔹 SIGNALS AND ALERTS When a bar crosses into A-Tier or higher, a zone is drawn using support/resistance-style geometry (body plus a small ATR cushion). Zones merge automatically when adjacent qualifying setups share the same directional bias, preventing chart clutter. Each zone is labeled with its tier and score in compact A·83 format, with a dotted leader line connecting the label to the zone edge. Four built-in alert conditions are exposed: - S-Tier Setup Detected (score crosses the S-Tier threshold) - A-Tier Setup Detected (score crosses the A-Tier threshold) - New Bullish Quality Setup (first A-tier bullish bar in a run) - New Bearish Quality Setup (first A-tier bearish bar in a run) 🔹 KEY INPUTS - General: Higher timeframe reference, rolling history window, forward evaluation bars - Thresholds: S / A / B / C tier cutoffs, fully adjustable - Factor Weights: ten independent sliders, 0.0 to 2.0, tune the scorer to your style - Zones: adaptive extend (auto or manual), merge window, max height cap in ATR units, maximum age - Labels: on-chart label mode (A-Tier only, S-Tier only, off), size presets - Panel: position, size, factor breakdown toggle 🔹 HOW TO USE Start with defaults and observe for a full session on your chart. Trend traders should raise the Trend and HTF Align weights. Reversal traders should raise Divergence, Structure, and S/R Proximity. Use the Active count in the panel as a quick filter: fewer than three factors above seven generally means a weak setup regardless of composite score. Use the hit-rate number to sanity-check whether your current configuration is performing on this asset and timeframe — if it is below 50 percent on a large sample, revisit your weight assignments. 🔹 LIMITATIONS AND TRANSPARENCY The hit-rate metric is backward-looking. It measures how often past A-tier signals produced a one-ATR directional move within the next N bars. It is not a forecast of future performance. A hit rate with fewer than twenty signals is flagged with an info marker because the sample size is not yet statistically meaningful. Factor definitions are static — they do not adapt to regime changes automatically. Session weighting assumes standard crypto and equity session times in UTC; adjust if you are trading exotic hours. The script uses pivot-based structure, which lags by the pivot length on the right edge of the chart (a standard trade-off for noise suppression). 🔹 RISK DISCLOSURE This indicator is an analytical tool, not financial advice. It does not predict future price movements. A high quality score does not guarantee a winning trade. Past performance of any displayed signal does not indicate future results. Always use proper risk management and position sizing. Never trade with capital you cannot afford to lose.
Chỉ báo Pine Script®
của AGProLabs
Solstice Fibonacci Engine [JOAT]Solstice Fibonacci Engine Introduction The Solstice Fibonacci Engine is a fully automatic Fibonacci retracement and extension tool built for traders who want institutional-grade price levels drawn on their chart without the tedium of manually dragging anchor points. It detects the dominant swing high and swing low within your currently visible chart range, recalculates every time you scroll or zoom, and renders the complete Fibonacci suite — retracements from 0% to 100% and extensions to -100% — in a single, clean overlay. The engine is purpose-built around two price zones that institutional order flow traders treat as highest-probability areas: the OTE (Optimal Trade Entry) zone from 61.8% to 78.6% retracement, and the Target Zone from -50% to -61.8% extension. These zones are shaded and labeled automatically, with TP1 through TP4 labels placed at the key confluence levels that align with those areas, giving you a ready-made trade management framework the moment any new swing is established. Core Concepts Visible Range Swing Detection Unlike most Fibonacci tools that require manual anchoring or use fixed lookback lengths, Solstice tracks the swing high and swing low within the portion of the chart you are actually looking at: int visLeft = int(chart.left_visible_bar_time) int visRight = int(chart.right_visible_bar_time) bool isVis = time >= visLeft and time <= visRight if isVis if na(swHi) or high > swHi swHi := high swHiBar := bar_index if na(swLo) or low < swLo swLo := low swLoBar := bar_index When you scroll left or right the swing resets instantly to reflect your new visible window. This makes the tool behave like a dynamic Fibonacci that always measures the most contextually relevant move — the one you are actually analyzing. Trend Direction from Swing Sequence The engine determines whether price is in an uptrend or downtrend by comparing the bar index of the swing high against the bar index of the swing low: bool trendUp = nz(swLoBar, 0) < nz(swHiBar, 0) If the swing low came first (left) and the swing high came after (right), price moved up — so retracement levels are drawn from the top down. If the swing high came first, price moved down and levels are drawn from the bottom up. This single boolean drives whether TP1–TP4 labels are placed above or below current price. OTE Zone — 61.8% to 78.6% The Optimal Trade Entry zone marks the golden pocket of Fibonacci retracement theory. Price returning into this band after a clean impulsive move often finds the institutional order flow that originally created the swing: if showOTE fibZone(color.new(oteClr, 90), 61.8, 78.6, trendUp, bar_index - 2, lx, swHi, swLo, "OTE ZONE") The zone is rendered as a shaded box extending to the right of the last visible bar, keeping it visible as new bars form. An alert fires on bar close the first time price enters this zone after it was outside it. Target Zone — -50% to -61.8% Extension The Target Zone marks the take-profit extension area beyond the 0% level: if showTgt fibZone(color.new(tgtClr, 90), -50.0, -61.8, trendUp, bar_index - 2, lx, swHi, swLo, "TARGET ZONE") When price has retraced into the OTE and reversed, the -50% to -61.8% extension zone becomes the natural profit target objective — where the move typically exhausts before the next consolidation. TP1–TP4 Trade Management Labels Four take-profit labels are placed at the levels that define a complete trade management plan from entry to full profit-taking: | Label | Level | Meaning | |-------|-------|---------| | TP1 | 38.2% | First objective — scalp or partial close | | TP2 | 0% | Full return to the original swing point | | TP3 | -27.2% | First extension beyond the swing | | TP4 | -61.8% | Deep extension — full target zone | Features Auto swing detection from visible chart range — no manual anchoring required Dynamic recalculation on every chart scroll or zoom Full Fibonacci suite: 0%, 23.6%, 38.2%, 50%, 61.8%, 70.6%, 78.6%, 100%, -27.2%, -50%, -61.8%, -100%, 150%, 200% Per-level toggle switches — show only the levels you want OTE Zone (61.8%–78.6%) shaded box with right-extension Target Zone (-50% to -61.8%) shaded box with right-extension TP1–TP4 labels with optional percentage labels on every level Optional swing diagonal line from anchor to anchor Dashboard showing swing trend, zone touch status, swing high/low, and range Auto dark/light theme detection Alerts fire on confirmed bar close when price enters OTE or Target Zone Webhook JSON alert format for automation Watermark Input Parameters Main Settings Show All Elements — master toggle for all drawing objects Show Swing Diagonal Line — draws a line connecting the two swing anchor points Line Width — 1 to 5 pixels Line Style — Solid, Dashed, or Dotted Label Offset (bars) — how far to the right labels are placed beyond the last bar Fibonacci Levels Individual toggles for each level: 0%, 23.6%, 38.2%, 50%, 61.8%, 70.6%, 78.6%, 100%, -27.2%, -50%, -61.8%, -100%, 150%, 200% Zones and Targets Show OTE Zone — toggles the 61.8%–78.6% shaded box Show Target Zone — toggles the -50% to -61.8% shaded box Show Zone Labels — text inside zone boxes Show TP1–TP4 Labels — take-profit label markers Show Level % Labels — percentage text on every drawn level line Visual Settings Theme — Auto (reads chart background), Dark, or Light Show Dashboard — compact panel showing current swing readings Dashboard Position — Top Left, Top Right, Bottom Left, Bottom Right Show Watermark Webhook JSON — switches alerts to machine-readable JSON format Colors Fib Lines — color for all retracement/extension level lines OTE Zone — fill color for the OTE box Target Zone — fill color for the Target Zone box How to Use Add the indicator to any chart on any timeframe — it automatically maps to your current visible range. Zoom or scroll your chart to frame the impulsive swing you want to analyze. The Fibonacci grid recalculates to match. Look for price to retrace into the OTE Zone (gold band between 61.8% and 78.6%). This is the institutional entry area. When price reverses out of the OTE zone, monitor the TP1 label at 38.2% for partial profits, TP2 at 0% for full return to the swing origin, and TP3/TP4 in the Target Zone for extended runners. Set the OTE Zone and Target Zone alerts to receive notifications when price enters either area on bar close. Enable percentage labels if you need to confirm exact level values for manual entries. Indicator Limitations The swing is determined by the highest high and lowest low within the visible range only — it does not use a structural pivot detection algorithm. On heavily zoomed-out charts, the swing might span an unusually long period. Fibonacci levels are mathematical retracements of the detected swing range. They are areas of interest, not guaranteed reversal zones. Always combine with your own confluence analysis. The OTE and Target Zone alerts trigger only on the first bar close when price enters the zone from outside. If price exits and re-enters, a new alert fires. Retracement drawing regenerates on every bar close at the last bar. On very high-resolution timeframes with large numbers of active objects, this can approach TradingView drawing limits. Originality Statement The Solstice Fibonacci Engine is an original Pine Script v6 implementation. Its use of chart.left_visible_bar_time and chart.right_visible_bar_time for dynamic visible-range swing detection is a novel approach that produces a self-adjusting Fibonacci tool with no manual intervention. The OTE and Target Zone framework, TP1–TP4 label system, and scroll-responsive recalculation are original design decisions made specifically for this publication. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Fibonacci levels are areas of potential price reaction, not certainties. Past Fibonacci confluence does not guarantee future performance. Always use proper risk management and consult a licensed financial professional before trading. -Made with passion by jackofalltrades
Chỉ báo Pine Script®
của officialjackofalltrades
Liquidity Surge Forecast with Win Rate [TechnicalZen]Publishing this v2 with Proven performance dashboard for scalpers. What This Is A 3D liquidity-and-momentum visualization with a built-in, MFE-verified win-rate dashboard. Two independent systems — Money Flow (MFI-driven) and Price Current (Hull-VWMA or signed-ADX) — render as layered terrains inside a bounded 3D box. When both systems agree on direction, a whale surfaces: 🐳 bullish, 🐋 bearish. Every whale is tracked. Every outcome is scored. The dashboard prints the running win rate on your chart, on your instrument, on your timeframe. Live. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built On Money Flow Dynamics Forecaster 3D This is the next iteration. Same solid confluence-detection engine, rebuilt rendering, and a performance dashboard on top for visual proof of how the system is doing. Improvements over v1: Win-rate dashboard with ATR-scaled MFE — every 🐳 / 🐋 signal is now tracked and scored. Each signal resolves when the next one fires, judged by directional close or MFE ≥ 0.5 × ATR. No more hand-waving about "does this actually work." Seamless carpet terrain — layered strips share color between fill and outline. No visible seams; the terrain reads as one continuous surface. Dotted wave contours — each HMA layer traces as a dotted line along its depth, like isobars on a topographic map. Wave shape is visible at a glance. Depth fog gradient — far Z layers tint toward atmospheric navy-violet. Real 3D depth perception without extra wireframe. Dotted wireframe, emphasized horizon — box edges and grids are dotted (quieter), while the Y=0 tide line is kept solid and bold as the one structural anchor that should stand out. Unified ADX-mode terrain — ADX mode now renders a proper 12-layer terrain (v1 fell back to a single-ribbon). Both oscillator modes share identical visual grammar. Cleaner defaults — Yaw −20°, Pitch 15°, axis markers off, back-wall grid off, mesh columns removed. Less visual noise out of the box. Bug fixes — ring-buffer wrap when Slope Lookback > Time Span ; ADX-mode second-signal for the emoji confluence check; dead inputs cleaned up. If you're coming from v1, interpretation is identical — same riders, same whales, same color semantics. The new dashboard simply gives you a way to measure how often confluence actually pays off. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Win-Rate Dashboard — Proof, Not Claims Most indicators claim a success rate. This one measures it. Every 🐳 / 🐋 signal is recorded at its first bar of entry and held pending — until the next signal fires. At that moment the indicator judges the previous signal by two criteria : Directional close — did price close favorable at the next signal's bar? (bull: close > entry. bear: close < entry.) MFE ≥ ATR threshold — did the favorable excursion between the two signals reach 0.5 × ATR (at the entry bar)? ATR multiplier is tunable. Either criterion qualifies as a win. Direction alone is a win. MFE alone is a win. No fixed evaluation window — signals are judged against reality when the regime actually changes. The threshold is volatility-relative : quiet instruments need small moves, volatile ones need larger moves. Always calibrated to the instrument, never arbitrary. The dashboard shows: Total bull and bear signals fired (resolved ones only — the most recent signal is pending until the next) How many won Rolling win rate, traffic-lit — green ≥ 60%, yellow 40–60%, red < 40% Your ATR multiplier, printed right on the table Why next-signal evaluation? Because fixed bar counts are arbitrary. A regime lasts as long as it lasts. When the next whale flips, the previous whale's journey is over — and that's the fair moment to judge it. Entry quality and regime persistence are both captured naturally. The result: you don't trust marketing, you trust your own data . Every number is computed from your chart, right now, with your settings. Change the ATR multiplier, change the timeframe — the dashboard updates. This is how an indicator should prove itself. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Signal Confluence requires agreement between two fundamentally different witnesses: Money Flow — volume-weighted momentum (MFI). 20 Hull-smoothed layers (HMA 3 → HMA 60). Detects accumulation or distribution before price has to move. Price Current — volume-weighted directional pressure (Hull-VWMA 2-bar slope, or signed-ADX HMAs). 12 layers. Detects committed displacement of price. Money Flow leads. Price Current confirms. When both middle-layer slopes point the same way, a whale fires. That is the signal worth trading — not a crossover, not a threshold break, but two independent systems aligning. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ What You See Layered dotted waves — each HMA smoothing horizon, stitched into a 3D carpet. Depth fog tints far layers into atmospheric haze for real 3D perception. Forecast terrain — each layer slope-extrapolated with exponential decay into the future half of the box. 🏄‍♂ Surfer — rides the Money Flow leading edge (the impulse). ⛵ Sailboat — rides the Price Current leading edge (the trend). 🐳 / 🐋 Whale — surfaces at the forecast edge when both slopes agree. Confluence confirmed. Dashboard — running win rate, always visible. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ How to Use Load with defaults. Switch chart to Volume Candles. Check the dashboard — what is your current win rate on this instrument / timeframe? Tune Win Threshold (× ATR) to match how strict you want the measurement to be — 0.3×ATR = loose, 0.5×ATR = balanced (default), 1.0×ATR = strict. Watch for 🐳 or 🐋. They are rare by design. On a whale, align with the direction. On no whale, stand aside. Let the dashboard keep scoring. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best Paired With Smart Candle Structures This indicator tells you whether and when to trust the flow. Smart Candle Structures tells you where to act — order blocks, fair-value gaps, liquidity sweeps, BOS / CHoCH zones. Together: the right place, at the right moment, with a measurable win rate behind it. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Key Settings Time Span — past bars rendered and forecast horizon (default 15) Momentum Source — MFI (default) or RSI Oscillator Type — Hull-VWMA (default) or signed-ADX Slope Lookback — bars used to compute the slope that fires whales (default 4) ATR Length — lookback for volatility scaling the win threshold (default 14) Win Threshold (× ATR) — minimum favorable excursion between signals, as a multiple of ATR at the entry bar (default 0.5 × ATR) Depth Fog Strength — atmospheric depth gradient on far layers (default 0.55) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Disclaimer This is a visualization and analytical tool, not financial advice or a signal service. The dashboard measures what has happened on your chart; it does not predict what will. Markets are reflexive. Past performance does not guarantee future results. Trade with your own risk management. Every trade can lose. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Confluence you can measure. — TechnicalZen
Chỉ báo Pine Script®
của TechnicalZen
4
Prism Channel Architecture [JOAT]Prism Channel Architecture Introduction Prism Channel Architecture is a dual-channel overlay indicator that layers two mathematically distinct structural frameworks onto your price chart simultaneously: a best-fit Pivot Channel derived from actual price pivot points, and a Linear Regression Channel built from statistical least-squares fitting. Together they create a structural prism through which trend direction, channel quality, and breakout momentum can be evaluated from multiple angles at once. Most channel tools force you to choose between objectivity and responsiveness. Pivot channels adapt to real market structure but can lag. Regression channels are statistically rigorous but ignore actual swing highs and lows. PCA runs both engines in parallel and highlights the moments when they agree — bull alignment and bear alignment states — as the highest-conviction reads in the system. Core Concepts Pivot Channel Fitting The indicator collects up to a configurable maximum of confirmed pivot highs and pivot lows using TradingView's built-in pivot functions: float pivHigh = ta.pivothigh(high, pivLeft, pivRight) float pivLow = ta.pivotlow( low, pivLeft, pivRight) From those stored pivot arrays, it searches for the best pair of recent pivot highs to fit the upper channel boundary, and the best pair of recent pivot lows to fit the lower channel boundary. The quality score for each candidate pair is computed by checking how many of the recent bars were actually contained below the upper line (or above the lower line) within an ATR tolerance: for k = 0 to checks - 1 float lineY = linePrice(x2, y2, x1, y1, bar_index - k) if high <= lineY + atrVal * 0.3 contained += 1 float q = safeDiv(float(contained), float(checks), 0.0) The pair with the highest containment ratio wins and becomes the drawn channel. This means the upper channel line is always the tightest valid resistance line through recent pivot highs, not an arbitrary parallel projection. Linear Regression Channel The regression channel computes a full manual least-squares fit over the lookback window, producing slope, intercept, and residual standard deviation: float slope = safeDiv(n * sumXY - sumX * sumY, n * sumXSq - sumX * sumX, 0.0) float intc = safeDiv(sumY - slope * sumX, n, close) float stdDev = math.sqrt(safeDiv(ssRes, n, 0.0)) The upper and lower bands are drawn at `stdDev × Deviation Multiplier` distance from the regression midline, giving bands that are statistically calibrated to the actual spread of price around the trend. Color shifts from bull to bear when slope changes sign. Channel Alignment Confluence The system declares a Bull Alignment when both channels simultaneously agree price is in a bullish position — the regression slope is rising AND price is above the regression midline, AND price is in the upper half of the pivot channel (between the midline and the upper band): bool lrBull = close > midNow and slope > 0.0 bool pivBull = close > uMid and close < uNow bool alignBull = lrBull and pivBull This confluence state is highlighted with a subtle background color — a quiet but meaningful signal that two independent structural frameworks are pointing in the same direction. ATR-Based Breakout Detection Breakout signals fire when price moves more than a configurable ATR multiple beyond the prior bar, provided the regression slope confirms direction: bool brkUp = ta.crossover(close, close + crossTol * atrVal) and lrSlope > 0.0 bool brkDn = ta.crossunder(close, close - crossTol * atrVal) and lrSlope < 0.0 Breakout labels (▲ BRK / ▼ BRK) appear above or below the breakout bar and are alert-enabled. Features Pivot Channel — best-fit upper/lower boundaries through recent pivot highs/lows, quality-scored by containment ratio Regression Channel — least-squares midline with statistically calibrated deviation bands, auto-colored by slope direction Channel midline — dashed neutral midline bisecting the pivot channel for zone positioning Bull and Bear Alignment detection — background highlight when both channels agree on direction ATR-normalized breakout labels — ▲ BRK and ▼ BRK when price breaks out with trend confirmation Channel Quality score — displayed in dashboard as percentage of recent bars contained Pivot position classification — Bull Zone (upper half) or Bear Zone (lower half) Up to 40 pivot highs and 40 pivot lows stored and evaluated 10-bar channel projection extended to the right of the last bar Dashboard: LR direction, deviation mult, pivot quality, pivot position, alignment, breakout, ATR, pivot count Alerts for bullish breakout, bearish breakout, bull alignment, and bear alignment Webhook JSON alert format Watermark Input Parameters Pivot Channel Pivot Lookback Left — bars to the left required to confirm a pivot high or low (default 10) Pivot Lookback Right — bars to the right required to confirm a pivot high or low (default 5) Max Pivots Stored — maximum number of pivot highs and lows held in memory (default 30) Quality Check Length — number of recent bars used to score channel containment (default 20) Breakout ATR Mult — ATR multiplier threshold for breakout label generation (default 1.5) Show Pivot Channel — toggle the pivot channel lines on/off Regression Channel Regression Length — bars used in the least-squares fit (default 50) Deviation Mult — standard deviation multiplier for band width (default 2.0) Show Regression Channel — toggle the regression channel lines and fill on/off ATR Settings ATR Length — lookback for ATR calculation used in breakout detection and containment tolerance (default 14) Visuals Bull Color — color for uptrending channels and bullish labels Bear Color — color for downtrending channels and bearish labels Neutral Color — color for channel midlines and neutral dashboard text Show Dashboard — compact structural summary panel Show Watermark Show Breakout Labels — toggle ▲ BRK / ▼ BRK label markers Alerts Webhook JSON Format — switches alert messages to JSON format for automation pipelines How to Use Add PCA to your chart as a main-pane overlay indicator. Let the chart load enough history so both channels initialize. A warmup period of at least 60 bars is enforced before channels begin drawing. Use the Regression Channel to assess macro trend direction. If the midline slope is rising and price is above it, the macro environment is bullish. Use the Pivot Channel to identify the structural support and resistance boundaries formed by actual price pivots. The upper pivot line is the tightest valid resistance. The lower pivot line is the strongest structural support. Watch for Bull Alignment (cyan background) when both systems agree price is in a bullish structural position. This is the highest-conviction environment for long setups. Watch for Bear Alignment (red background) for bearish structural setups. Treat Breakout labels as momentum confirmation signals — they only fire when an ATR-significant price move occurs in the direction of the regression slope. Check the Pivot Quality score in the dashboard. A quality above 65% means the channels are actively containing price well. Below 40% means the channel fit is loose and breakouts are less reliable. Indicator Limitations Pivot channel fitting evaluates only the 8 most recent pivot highs and the 8 most recent pivot lows when searching for the best pair. In very choppy markets with many closely-spaced pivots, the fitted channel may appear narrow or erratic. The regression channel is recalculated on every bar over a fixed lookback window. It will repaint the past visually as new bars are added — the channel reflects the lookback window ending at the current bar, not a fixed historical period. Channel quality scores can be artificially high in low-volatility trending conditions where price barely touches the edges of the channel. Breakout signals require both an ATR threshold move AND a confirming regression slope. In sideways markets the slope condition filters out most breakout candidates, which may lead to missed signals on genuine horizontal range breaks. Originality Statement Prism Channel Architecture is an original Pine Script v6 publication. The dual-engine architecture combining a quality-scored best-fit pivot channel with an independently computed least-squares regression channel, and the definition of alignment confluence as agreement between those two distinct structural systems, is an original design. The pivot quality scoring methodology — measuring the containment ratio of recent bars within the candidate channel bounds with ATR tolerance — is an original technique not derived from any existing published indicator. Disclaimer This indicator is for educational and informational purposes only. Channels, alignment states, and breakout labels are analytical tools and do not constitute financial advice. Channel boundaries can and will be violated without warning. Always apply proper risk management and never trade solely based on indicator signals. -Made with passion by jackofalltrades
Chỉ báo Pine Script®
của officialjackofalltrades
Aura Pivot S/R Matrix [Pineify]Aura Pivot S/R Matrix This indicator turns confirmed swing pivots into volatility-adaptive support and resistance zones rather than single horizontal lines. The thickness of each zone is derived from a 200-bar ATR snapshot taken at the pivot bar itself — so a level formed during a quiet consolidation gets a narrower zone than one formed during a wide-range expansion, without any manual tuning per instrument. Each zone tracks forward with price until a full close breaks through it, at which point the zone is frozen and labeled as a breakout or breakdown. Key Features ATR-scaled zone thickness anchored to the volatility regime at the pivot bar, not the current bar Forward-extending zones that visually "track" price until broken, then freeze as a historical record Close-based break detection that filters out wick probes and test-and-reject candles Per-zone state management via a user-defined type — each zone behaves as an independent object with its own lifecycle Breakout and breakdown labels printed at the exact bar of confirmation How It Works Each zone is built through a three-stage pipeline — pivot confirmation, volatility-scaled construction, and lifecycle tracking. A swing is detected when a bar's high is higher than the surrounding pivotLen bars on both sides (for resistance), or the low is lower (for support). Because the right-side requires N bars of confirmation, zones appear with a deterministic pivotLen -bar lag and do not repaint once drawn At the moment a pivot confirms, the script measures the 200-bar ATR as it existed pivotLen bars ago — that is the volatility context at the actual swing bar, not the current bar. The zone is then drawn as a box extending ±(ATR/2) around the pivot price Each zone is stored in an SRZone user-defined type that bundles its box, midline, label, pivot level, and a boolean broken flag. Two arrays — one for resistance, one for support — hold the active inventory On every bar, unbroken zones have their right edge extended forward. When the close exceeds the top of a resistance zone (or falls below the bottom of a support zone), the zone stops extending, is marked broken, and a labeled marker is drawn at the break bar How the Components Work Together Three design decisions interact to produce the final behavior. The pivot detection answers where market structure previously turned — these are locations where orders likely clustered and will likely cluster again on retest. The ATR scaling answers how wide the reaction range around that pivot should be, because a pivot formed during a low-volatility session does not represent the same defensive range as one formed during a volatile expansion. Combining the two produces zones that are structurally anchored but volatility-proportional. The close-based break filter then handles the noise problem. The most common false break is a wick that tags the level, prints a panic candle, and reverses immediately. By requiring a full close beyond the zone, the indicator rewards conviction moves and ignores exploratory probes — the break is registered only when price has committed to the new regime. Trading Ideas and Insights Repeated tests of a fresh resistance zone without a closing break frequently precede a sustained reversal. The more times a zone is defended, the more meaningful the eventual breakout becomes When a resistance zone breaks and then holds as support on retest, that flip is a classic structural shift — an opportunity to align with the new direction using the flipped zone as a clear invalidation level Support zones broken during strong trending conditions rarely hold on retest. Support broken during ranging conditions often reforms because the market was simply oscillating — context from the broader trend matters A cluster of multiple pivots at similar prices (three or four zones stacking) marks a confluence area that carries more weight than an isolated swing Past behavior at these levels does not guarantee future reactions. Treat zones as bias filters rather than standalone signal generators. Unique Aspects Most S/R indicators use fixed-distance zones, round numbers, or percentage bands. This one scales zone thickness to a rolling ATR measured at the exact bar of the pivot — so a 2020 level and a 2024 level on the same chart can have very different zone widths depending on the volatility regime that produced them Zones freeze on break rather than being deleted, preserving a visual history of which structural levels have been tested and lost. This acts as a passive context map for traders reading price action State is managed through a UDT array rather than a flat set of lines, which makes the extend-until-broken behavior clean and predictable — each zone owns its own break detection logic How to Use Add the indicator to any chart and timeframe you actively trade. 1H and 4H are good starting points for swing traders; lower timeframes work but will produce more zones and benefit from a higher pivot lookback value Identify the nearest active support zone (green) and resistance zone (red) — these are the first levels price is likely to react to Watch for one of two outcomes: a controlled approach followed by rejection (fade setup), or a decisive close through the zone (breakout setup). The indicator labels the breakout or breakdown automatically When a level breaks, expect a retest. Retests often offer better reward-to-risk entries than chasing the initial breakout bar itself Customization Pivot Lookback Length (default: 15) — Bars required on each side of a swing for confirmation. Lower values (5-10) produce smaller, more frequent zones suitable for scalping. Higher values (20-30) isolate only major structural swings and reduce chart clutter Zone Width (ATR Multiplier) (default: 1.0) — Scales the ATR-derived zone thickness. Raise to 1.5-2.0 on volatile instruments where zones should absorb normal noise; lower to 0.5 for tighter precision-entry levels Support / Resistance Color — Visual differentiation between bullish and bearish zones, their midlines, and labels Zone Transparency (default: 85) — Controls the fill opacity of zone boxes. Values around 80-90 keep price action readable inside the zone Limitations to Be Aware Of The pivot confirmation delay equals the lookback length. A 15-bar lookback means the zone is drawn 15 bars after the actual swing high or low. This is fine for levels (they do not repaint) but unsuitable for entries at the exact swing bar Zones do not automatically merge. When multiple pivots form within an ATR of each other, their zones will overlap on the chart. Increasing the pivot lookback reduces this visual clutter Break detection uses close , not wicks. A bar can spike well beyond the zone and return inside without triggering a break — by design, but worth remembering on volatile instruments with large intrabar swings Conclusion Rather than plotting dozens of static lines, the Aura Pivot S/R Matrix treats each structural pivot as a live object with a volatility-scaled range and a clear lifecycle — active, then broken. The ATR scaling grounds each zone in the volatility context of its own formation, and the close-based break detection emphasizes conviction moves over noise. Most useful as a structural framework for swing and position traders who want to see where the market has been defended, where those defenses have been lost, and how the battleground has evolved across different volatility regimes.
Chỉ báo Pine Script®
của Pineify
Trendline Breakout - [NotLazyBear]Overextension Trendline Breakout A multi-pivot trendline detection and breakout system that automatically draws validated support and resistance lines from looped zigzag pivots, confirms trendline integrity through clean-line scanning, and projects Fibonacci extension targets upon breakout. Uses ATR-normalized angle validation and touch-density scoring to distinguish meaningful trendlines from noise. What It Does OETB scans price action across a configurable range of pivot lengths (default 5–30 bars) to build a pool of swing highs and lows. It then attempts to fit trendlines through these pivots using three validation layers: Angle Validation : Trendlines must fall within a specified angular range (default 15°–60°) relative to ATR-scaled horizontal distance, preventing flat or near-vertical lines. Touch Density : Lines must connect at least 3 (configurable) pivot points within ATR tolerance, ensuring the trendline is genuinely respected by price. Clean-Line Scan : No intermediate bar may violate the trendline by more than ATR tolerance — confirming the line acted as active support/resistance between its defining pivots. When a validated trendline is broken by price (with optional ATR buffer and close confirmation), the system plots breakout markers and projects four Fibonacci targets based on the swing amplitude of the broken trendline. Core Components Looped Pivot Detection : Iterates through minPivLen to maxPivLen simultaneously, collecting highs and lows across multiple time scales. Duplicate bars are resolved by keeping the largest pivot length (most significant swing). ATR-Scaled Angle Calculation : Uses a custom arctangent implementation with ATR normalization to measure trendline steepness in degrees. The X-axis is scaled by (dx/10) × ATR, making angle measurement consistent across volatile and calm markets. Touch Scoring with Tiebreaking : When multiple candidate lines exist, selects the one with most touches; ties broken by longer span (more significant trendline). Forming vs Confirmed Lines : Lines with 2+ touches but below minTouches are tracked as "forming" (dashed, faded) until they gather enough evidence to become confirmed. Breakout with Fibonacci Projection : Upon break, draws 0.618, 1.0, 1.618, and 2.618 extension targets from the breakout point, colored by aggressiveness (green conservative to pink aggressive). Age-Based Expiration : Lines older than maxAge bars (default 200) are marked expired (dotted grey) if unbroken, preventing stale trendlines from cluttering the chart. Inputs & Parameters Zigzag Pivots Minimum/Maximum Pivot Length: Range of bar lengths for pivot detection (2–1000, default 5/30). ATR Length: Volatility measurement for normalization (default 14). ATR Deviation Filter: Toggle requiring minimum ATR distance between consecutive same-type pivots to prevent clustering. Minimum Pivots to Connect: Touch threshold for confirmed trendlines (2–10, default 3). Trendline Validation Minimum/Maximum Angle: Steepness bounds in degrees (0°–89°/1°–90°, default 15°/60°). Filters out horizontal noise and near-vertical spikes. Max Pivot-to-Pivot Span: Maximum bar distance between connected pivots (10–200, default 100). Clean-Line Tolerance: ATR multiplier for how far price may deviate from the line between pivots (default 0.06× ATR). Validate Through Current Bar: Extends clean-line check from last pivot to present bar, ensuring ongoing respect. Breakout Logic Break Requires Close Beyond Line: If true, breakout requires close; if false, wick penetration suffices (faster, more false positives). Break Buffer: ATR multiplier added beyond the line before break registers (default 0.08× ATR). Max Line Age: Bars before unbroken lines expire (default 200). Fibonacci Targets Target ratios: 0.618 (conservative), 1.0 (equal move), 1.618 (golden), 2.618 (aggressive) — all configurable. Target Extension: Bars forward to draw target lines (default 5). Individual color selection per target level. Display Toggle confirmed lines, forming lines, and breakout markers. Color selectors for ascending support (cyan), descending resistance (orange), forming variants (faded), broken (grey), and expired (light grey). Line width adjustment (1–4). How to Read It Solid Cyan Lines: Confirmed ascending support — at least 3 lows touched the line within tolerance. Price expected to bounce; break signals bearish acceleration. Solid Orange Lines: Confirmed descending resistance — at least 3 highs touched the line. Price expected to reject; break signals bullish breakout. Dashed Faded Lines: Forming trendlines with 2 touches but not yet confirmed. Monitor for additional touches that would validate. Dashed Grey Lines: Broken trendlines — price has crossed through with buffer confirmation. Fib targets are active. Dotted Light Grey Lines: Expired trendlines — exceeded maxAge without breakout, no longer relevant. Breakout Markers: Green ▲ below bar: Descending resistance broken upward — bullish breakout. Red ▼ above bar: Ascending support broken downward — bearish breakdown. Fibonacci Target Labels: "T1 (0.618)" in green, "T2 (1.000)" in blue, "T3 (1.618)" in orange, "T4 (2.618)" in pink — projected horizontally from breakout point. Practical Usage Guidelines Trend Continuation Trading Enter long when price bounces off a confirmed cyan support line with rising volume. Enter short when price rejects a confirmed orange resistance line with rising volume. Stop-loss placed beyond the trendline by 1× ATR. Breakout Trading Wait for close beyond the trendline plus buffer (not just wick). Confirm with volume expansion if available. Target T1 (0.618) for conservative profit; scale out at T2 (1.0); trail remaining to T3/T4. If price reverses back through the broken trendline within 3 bars, the break is likely false — exit immediately. Forming Line Anticipation When a dashed forming line appears, watch for the next touch. A third touch that holds validates the line and often provides a high-probability entry. If price violates a forming line before it reaches minTouches, the line is invalidated and removed. Important Notes Custom Arctangent Implementation: The script includes a manual f_atan function using Taylor series expansion (12 terms) to avoid dependency on built-in math.atan, with f_atan2 handling all quadrants. This ensures consistent angle calculation across Pine versions. Angle Normalization: The X-axis in angle calculation is normalized by (dx/10) × ATR, meaning a 10-bar move equal to 1 ATR produces a 45° angle reference. This makes angle thresholds market-adaptive. Duplicate Resolution: When the same bar is detected as a pivot across multiple lengths, the system keeps the longest length (most significant swing) rather than creating duplicate entries. Clean-Line Scan Performance: The validation iterates every bar between pivots and optionally to current bar. On very long spans (>100 bars) this is computationally intensive; reduce maxSpan or disable checkToNow for faster performance. Forming Line Cleanup: Forming lines are not automatically removed when their underlying pivots age out — they expire via maxAge only. Confirmed lines are removed immediately on break or expiration. Break Buffer Purpose: The 0.08× ATR buffer prevents false breaks from single-tick wicks. In high-volatility markets, increase buffer; in low-volatility, decrease or set to 0 for tighter triggers. No Repainting: Pivots use standard ta.pivothigh/ta.pivotlow with symmetric right bars (pLen). Breakout detection uses confirmed close when breakOnClose is enabled. All line objects are historical and do not shift retrospectively. Target Line Persistence: Fib target lines extend only fibExtBars forward (default 5) and are not automatically extended. They persist as static historical objects.
Chỉ báo Pine Script®
của NotLazyBear
Pivot Channel Map [AGPro Series]Pivot Channel Map 🔹 OVERVIEW Pivot Channel Map is a structural channel engine that automatically detects and classifies market structure channels from confirmed swing pivots. It organises every qualified channel into a clear 8-family taxonomy (Major / Minor × External / Internal × Up / Down) and renders them as a living map of trend, range and reversal context. The script works on all instruments and timeframes, with a focus on intraday and swing analysis. Instead of plotting a single trendline or band, the engine maintains a continuously updated structural map: active channels, their midlines, interaction pockets around the rails, preserved broken channels, and post-break retest / reclaim signals. A compact right-corner panel summarises live channel counts, qualification state, nearest channel distance in ATR units, and the prevailing Major tilt. The goal is to give discretionary traders a moderation-safe, clutter-controlled view of where price is inside the broader structure — not to predict future prices. 🔸 UNIQUE EDGE Most channel indicators draw one or two parallel lines and call it a day. Pivot Channel Map adds structural classification, qualification, memory and post-event follow-through on top of the channel geometry: - Eight channel families instead of a single pair of rails - ATR-normalised qualification engine (Off / Balanced / Strict) to filter structurally weak channels - Broken Channel Memory that preserves invalidated structure as faded historical context - Interaction Zones (right-edge ATR pockets) around active channel rails - Post-Break Retest / Reclaim tracker that tags the first valid touch after a confirmed break - Break and React event markers on Major channels - ATR-based distance tagging in the info panel (Near / Mid / Wide / Far) The result is a richer structural read than a standard channel script, while still staying visually clean through emphasis, opacity and clutter controls. 🔹 METHODOLOGY 1. Pivot detection. A configurable Pivot Period drives ta.pivothigh and ta.pivotlow to produce confirmed swing pivots. The script then classifies each pivot into H / HH / LH / HL / LL / L roles and promotes / demotes them between Major (M*) and Minor (m*) status based on close breaks versus the current Major range. 2. Channel construction. From the classified pivot stream, eight channel families are built: - Major External Up / Down - Major Internal Up / Down - Minor External Up / Down - Minor Internal Up / Down External channels trace structural HH/LL extremes, Internal channels trace LH/HL interior swings. 3. Qualification. Each candidate channel is width-measured against ATR and span-measured in bars. The Qualification Engine (Off / Balanced / Strict) filters out structurally weak channels before they are drawn. 4. Life-cycle management. Active channels are redrawn and extended forward each bar until an origin-rail or channel-rail break is confirmed. On break, the previous structure can be preserved by Broken Channel Memory (Off / Major Only / All) with its own style and opacity. 5. Event detection. Confirmed origin-rail breaks produce BREAK events; wick-through-then-close-back moves produce REACT events on Major channels. A cooldown and an ATR-based price-distance filter prevent label clusters when price oscillates around the same rail. 6. Post-break follow-through. After a confirmed break, the script tracks the first valid touch inside a configurable window and tags it as RETEST (channel-rail break) or RECLAIM (origin-rail break). 🔸 SIGNALS & ALERTS On-chart events: - BREAK — confirmed close-based break of a Major channel rail - REACT — wick through the Major rail with a close back inside, filtered by bar cooldown and ATR distance - RETEST / RECLAIM — first valid touch of the broken rail inside the post-break window - Interaction Zone contact — visual ATR pocket around active channel rails - Channel Quick Tags (MEX / MIN / mEX / mIN, Up / Dn) — compact family labels on active channels Alert conditions (all 16 toggleable, Major alerts On by default, Minor Off by default): - Break: Major External Up / Down - React: Major External Up / Down - Break: Major Internal Up / Down - React: Major Internal Up / Down - Break: Minor External Up / Down - React: Minor External Up / Down - Break: Minor Internal Up / Down - React: Minor Internal Up / Down Message frequency is configurable (All / Once Per Bar / Once Per Bar Close). Alerts include symbol, timeframe, time zone and event description. 🔹 KEY INPUTS - Pivot Engine: Pivot Period (default 5) - Per-family Visibility: 8 Show / Delete-Previous / Color / Style / Extend / Width groups - Channel Qualification: Mode (Off / Balanced / Strict), Apply To (All / Major Only / Minor Only), ATR Length - Broken Channel Memory: Scope (Off / Major Only / All), Keep (Last 1 / Last 2), Style - Channel Midline: Show, Apply To, Scope, Style, Width, Opacity - Active Map Clarity: Line Emphasis, Base-Line Focus, Event Markers, React Cooldown, React Min Price Distance, Quick Tags, Tag Scope, Tag Size, Event / Quick Tag Vertical Offsets - Interaction Zones: Scope, Rails, Zone Width ATR, Extend Bars, Opacity, Zone Text - Post-Break Retest / Reclaim: Scope, Window Bars, Label Offset ATR - Panel: Show, Position, Font Size - Alerts: 16 per-family Break / React toggles, Alert Name, Frequency, Time Zone 🔸 HOW TO USE Getting started: 1. Apply the indicator on any symbol and timeframe. 2. Start with default settings: Qualification Off so the full structural map is visible. 3. If the chart feels busy on lower timeframes, switch Qualification to Balanced or Strict. Reading the panel: - Major Live / Minor Live — active channels per class - Nearest Channel — closest active channel, with ATR distance and Near / Mid / Wide / Far tag - Qualification — current filter mode and scope - Interaction — interaction zone scope and rails - Post-Break — tracker scope, window and prevailing Major tilt Common workflows: - Trend continuation: wait for price to hold an Active Major channel and look for a REACT at the rail inside the channel direction. - Break-and-retest: after a BREAK event, watch for the RETEST / RECLAIM label inside the Post-Break window. - Confluence: use Interaction Zones to spot where Major and Minor rails meet at the right edge of the chart. - Higher-timeframe context: open a higher timeframe tab with the same script to map macro structure around your execution timeframe. Suggested defaults: - Intraday traders: 15m–1H base TF, Balanced qualification - Swing traders: 4H–1D base TF, Balanced or Off qualification - Higher-timeframe context: 1D–1W with Qualification Off 🔹 LIMITATIONS & TRANSPARENCY - Pivot-based. Pivots require the configured number of bars to confirm, so the most recent swing always lags by Pivot Period bars. This is a structural property of confirmed pivots, not a bug. - Redraw behaviour. Active channels are extended forward each bar until a break is confirmed on close. Channel end-points can therefore adjust as new pivots qualify. - Alerts fire on confirmed conditions. Break and React alerts require barstate.isconfirmed, so intra-bar touches do not trigger alerts. - Timeframe behaviour. On very high timeframes with limited history (e.g. weekly / monthly on newer instruments), the total pivot count can be small. Keep Qualification at Off on higher timeframes to avoid over-filtering. - This is a visualisation / structure tool. It is not a trading strategy, it does not manage risk, and it does not generate buy / sell recommendations. All entries and exits are the trader’s responsibility. 🔸 RISK DISCLOSURE This script is a technical analysis tool intended for educational and analytical purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any asset. Past chart behaviour does not guarantee future results. Trading involves significant risk and can result in the loss of capital. Always do your own research, use proper risk management, and consider consulting a licensed financial advisor before making trading decisions.
Chỉ báo Pine Script®
của AGProLabs
Price Void Atlas [AGPro Series]Price Void Atlas 🗺️ OVERVIEW Price Void Atlas maps the chart's low-interaction price corridors — zones where price travelled fast and spent very little time — and tracks how price behaves when it returns. Unlike volume-based profiles that highlight crowded price levels, this indicator surfaces the opposite: the empty highways of the chart. Every corridor carries a live state (Fresh, Entered, Passed, Rejected) so you can read return behavior at a glance. 🧭 UNIQUE EDGE Most volume profile and imbalance tools show where price concentrated. Price Void Atlas inverts the question: where did price refuse to concentrate? The detection engine is purely time-weighted and ATR-normalized, so it works identically on instruments without reliable volume data (forex, many altcoins, CFDs). The state machine adds a second layer — it does not just detect voids, it follows their return stories. This combination (time-based emptiness detection + entry-side-aware state tracking) is the core differentiator. 🔬 METHODOLOGY The Scan Length window is sliced into 40 horizontal price bands. For each historical bar in the window, every band it intersects receives an ATR-normalized time weight. Bands that accumulate weight below a sensitivity-driven percentile threshold are flagged as empty. Contiguous empty bands form a corridor. Height is capped at 50% of total range to keep corridors structurally meaningful. Candidates are scored on a 65/35 weighted blend of emptiness intensity and ATR-normalized height, then the top N survivors are kept. Optional vertical proximity merging (0.3×ATR) consolidates nearby corridors into larger atlas-feel zones. The state machine then observes price behavior per corridor: - Fresh → never touched since birth - Entered → price crossed inside; entry side is locked (top or bottom) - Passed → close crossed beyond the far boundary (clean traversal) - Rejected → close reversed beyond entry side by 35% of corridor depth 🔔 SIGNALS & ALERTS Three independent alert channels: - Void Entered — price re-enters an active corridor - Void Passed — price closes through the far boundary - Void Rejected — price reverses past its entry side Each alert fires once per bar on confirmed close. Corridors are drawn as persistent ATR-aware rectangles with state-colored borders and labels. A dominant corridor (highest rank score) gets a thicker border as a visual hierarchy cue. 🎛️ KEY INPUTS Core Engine - Scan Length (100–1000): window of bars analyzed - Sensitivity (Strict / Balanced / Loose): emptiness threshold - Max Voids (1–6): hard cap on simultaneous corridors - Hide Resolved Voids: removes Passed/Rejected for a clean view - Merge Vertically Close Voids: atlas consolidation Visual - Panel Location (5 positions), Panel Theme (Dark / Light) - Panel Font Size, Label Font Size (tiny → large, default normal) - Show Entry Side Hint (↑ / ↓ arrows on Entered labels) Alerts - Individual toggles for Entered / Passed / Rejected 🎯 HOW TO USE 1. Apply on a chart with enough history (200+ bars recommended for 300 Scan Length) 2. Fresh amber zones are untouched voids — potential re-interaction targets 3. When price approaches a Fresh zone, the corridor turns indigo (Entered) 4. Observe whether the interaction resolves as a traversal (Passed, teal) or a turn-away (Rejected, pink) 5. Use corridor boundaries as structural reference points alongside your own system 6. The dominant corridor (thickest border) represents the cleanest void by rank score 7. Works across all timeframes; adaptive rebuild cadence keeps performance consistent ⚠️ LIMITATIONS & TRANSPARENCY - This is an analysis aid, not a trading strategy. It does not generate buy or sell signals. - Corridor detection requires at least Scan Length bars of history; newly loaded charts render progressively as history accumulates. - The time-weighted emptiness metric depends on ATR stability; very low-volatility environments may produce fewer meaningful voids. - State transitions are evaluated on confirmed bar closes to prevent intrabar repainting. - Corridors persist across bars but are rebuilt on an adaptive cadence (5–25 bars depending on timeframe) for CPU efficiency. - All visuals are computed from the visible historical data on the current chart; extending the lookback will refresh the atlas. 🛡️ RISK DISCLOSURE This indicator is provided for educational and analytical purposes only. It does not predict future price movement, does not generate trade recommendations, and does not constitute financial advice. Trading involves substantial risk of loss. Past corridor interactions do not guarantee future behavior. Always conduct your own research and risk management.
Chỉ báo Pine Script®
của AGProLabs
Power of Three (AMD) Map [AGPro Series]Power of Three (AMD) Map 🔹 Overview The Power of Three (AMD) Map visualizes ICT's foundational session-framework concept directly on the chart: Accumulation → Manipulation → Distribution. For each daily or weekly session, the indicator automatically segments the AMD phases, detects classic liquidity sweeps during Manipulation, and projects a distribution target based on the accumulation range. Built for ICT / Smart Money Concept traders who want session-aware bias, transparent sweep validation, and forward-looking expansion projections. 🔹 Unique Edge vs Other PO3 Scripts Most PO3 indicators on TradingView simply highlight time-based session blocks and leave liquidity detection to the user's eye. This implementation distinguishes itself through: • Phase detection by bar count, not timestamps — ensuring consistent AMD ratios across every timeframe from 15m to 1D • Adaptive sweep confirmation — accepts both same-bar ICT-strict sweeps (wick + close-back) and 2-bar delayed confirmations, significantly improving setup capture without sacrificing quality • Dual-reference sweep logic — checks both the previous session's accumulation range AND the current session's accumulation range, capturing sweeps that single-reference scripts miss • TF-adaptive target multiplier — Daily sessions project targets at 0.7× accumulation range, Weekly sessions at 0.3×, aligned with realistic crypto volatility profiles • Transparent dual-KPI panel — separates Sweep Rate (how often valid sweeps occur) from Target Hit rate (how often the projected expansion completes), giving traders honest, verifiable performance metrics 🔹 Methodology Each session is divided into three bar-count-based windows: • Accumulation (first 33% of expected session bars) — tracks the initial range • Manipulation (next 17%) — scans for liquidity sweeps against the previous session's accumulation high/low and the current accumulation extremes • Distribution (remaining 50%) — the expected expansion phase, measured against the projected target A valid Manipulation sweep requires a wick penetrating a reference level followed by a body close back inside (classic ICT definition). In Adaptive mode, sweeps can also confirm within a 2-bar window. The detected sweep direction determines the PO3 bias: sweeping a high produces a Bearish PO3 (expected downside distribution); sweeping a low produces a Bullish PO3 (expected upside distribution). A target price is projected from either the accumulation midpoint (default, symmetrical expansion) or the sweep extreme, multiplied by the configured ratio. 🔹 Signals & Alerts Four built-in alert conditions: • Manipulation phase started — Accumulation complete • Bullish sweep detected — Low was swept, Bullish PO3 forming • Bearish sweep detected — High was swept, Bearish PO3 forming • Distribution target hit — Expansion reached projected level 🔹 Key Inputs • Session Scope — Auto (TF-adaptive), Daily, or Weekly • Accumulation / Manipulation window percentages (defaults 33% / 17%) • Sweep Reference — Previous Accumulation, Current Accumulation, or Both (default) • Sweep Confirmation — Strict (same-bar) or Adaptive (up to 2-bar, default) • Target Projection Method — From Accumulation Mid (default) or From Sweep Extreme • Multiplier Mode — Auto TF-adaptive (default) or Manual • Historical sessions to display (default 5, max 10) • Full visual customization — colors, label position, font size, panel position & theme • Premium visuals — sweep triangle markers, target price label (toggleable) 🔹 How to Use 1. Add the indicator to any crypto or forex chart with timeframe 1H–4H (for Daily PO3) or 1D (for Weekly PO3) 2. Watch the Accumulation range form at the start of each session — this defines the sweep reference level 3. When Manipulation phase begins, monitor for a wick that sweeps the previous accumulation high/low with a body close-back (triangle marker appears on confirmed sweeps) 4. Once a sweep confirms, the panel displays the directional bias (Bullish/Bearish PO3), the projected target price, and a dashed target zone extends toward the session end 5. Use the Sweep Rate and Target Hit percentages in the panel to contextualize reliability on your chosen symbol and timeframe 6. The panel's Completion counter grows as new sessions close — give the script enough historical bars to build meaningful statistics 🔹 Limitations & Transparency • AMD phase windows are bar-count approximations — real sessions do not cleanly segment into 33/17/50 splits. The indicator is a structural guide, not a timing oracle • Sweep detection requires the chart timeframe to contain at least 4 bars per session. On 1D charts, use Weekly mode; on 1W charts, the indicator will display a warning • The projected target is a statistical expectation based on the accumulation range. The Target Hit rate (shown in panel) reflects the historical frequency of this expectation being met on the current symbol/timeframe — typically 40–55% on crypto majors • Sweep Rate shows the percentage of completed sessions where a valid Manipulation sweep was detected; sessions without sweeps produce no bias and no target • Historical statistics accumulate from the first bar available on the chart and reset only when the chart reloads 🔹 Risk Disclosure This indicator is a visualization and analysis tool. It does not generate trade signals, predict price movement, or guarantee outcomes. Past Sweep Rate and Target Hit statistics reflect historical behavior only and do not imply future performance. All trading decisions and risk management remain the responsibility of the user.
Chỉ báo Pine Script®
của AGProLabs
Exhaustion Volume Spike [forexobroker]Not all volume spikes are created equal. A volume spike early in a trend signals continuation -- fresh money fueling the move. A volume spike late in a trend, with fading momentum, signals exhaustion -- the last gasp before reversal. This indicator classifies every volume spike and generates reversal signals on exhaustion events. HOW IT WORKS The indicator tracks trend direction (EMA20 vs EMA50), trend duration, ADX peak and decline, and momentum state. When a volume spike occurs, it classifies it: Continuation Spike: Early in trend, ADX rising, momentum strong. Colored blue. Trend is healthy. Exhaustion Spike: Late in trend (20+ bars), ADX declining from peak, momentum waning. Colored amber. Reversal likely. Buy signals fire after bearish exhaustion (sellers are spent). Sell signals fire after bullish exhaustion (buyers are spent). FEATURES Dual spike classification: continuation (blue) vs exhaustion (amber) ADX peak tracking with configurable decline threshold Trend duration monitoring with minimum bars requirement Momentum divergence analysis Continuation spikes shown as blue border boxes (informational) Exhaustion signals with 3-layer neon glow EXHAUST labels on reversal signals Real-time dashboard: ADX, ADX peak, trend bars, trend direction, spike counts Volume confirmation filter 11 alert conditions covering both spike types SIGNAL LOGIC Exhaustion classification requires ALL of: Volume exceeds SMA by the spike multiplier Trend has lasted at least the minimum bars ADX has declined from its peak by the threshold amount Momentum is waning (diverging from trend direction) Bar must be confirmed (closed) Then: Bullish signal = bearish trend exhaustion. Bearish signal = bullish trend exhaustion. RECOMMENDED SETTINGS Defaults are optimized for 4H and Daily charts. For 1H charts, reduce Min Bars in Trend to 15. For crypto, increase Volume Spike Multiplier to 2.5-3.0 due to higher baseline volatility. ADX Decline Threshold of 2.0 works across most instruments. HOW TO USE Blue boxes mark continuation spikes -- the trend is healthy, consider trend-following entries Amber EXHAUST labels mark exhaustion reversals -- look for counter-trend entries Monitor the ADX and Trend Bars in the dashboard for context When ADX Peak is much higher than current ADX, the trend is mature Combine exhaustion signals with support/resistance for precise entries LIMITATIONS Exhaustion spikes do not always lead to immediate reversals; price may consolidate first ADX is inherently lagging; the decline may be detected after the optimal reversal point Momentum analysis uses simple comparison which may produce false readings in choppy markets Volume data quality varies between exchanges; crypto exchanges may show misleading volume Classification is probabilistic, not deterministic Signals are confirmed on bar close only This indicator is a technical analysis tool and does not constitute financial advice Past performance is not indicative of future results
Chỉ báo Pine Script®
của forexobroker
Failed Break Quality [AGPro Series]Failed Break Quality 🔹 OVERVIEW Failed Break Quality is a reversal-focused structure tool that detects failed breakouts (bull traps and bear traps) around confirmed horizontal support and resistance, then grades each reclaim with a transparent 0-100 quality score. Instead of signaling every price wick through a level, it waits for the full sequence — level confirmation, break below or above, decisive reclaim, rejection candle and follow-through — and only prints a label when the event passes a weighted score threshold. The goal is to give a single-pane view of where the market trapped participants, how clean the reversal was, and whether the reaction carried any real conviction. All components are plotted on the price chart in an event map style: reclaim pockets, focus bands, connector rails, structure tags and a compact summary panel. 🔷 UNIQUE EDGE What separates Failed Break Quality from generic support-resistance or bull-trap detectors: • Five-component weighted score (0-100) — each reclaim is rated on Level Integrity, Break Weakness, Reclaim Speed, Rejection Strength and Follow-Through, with user-adjustable weights. No black-box output. • Auto timeframe profiles — Intraday, H4 and Swing profiles adapt tolerance, break depth, reclaim window, adverse-move limits and family-reset band automatically so the same inputs behave sensibly across timeframes. • Reclaim Pockets — the actual zone between the break extreme and the reclaim level is drawn as a shaded rectangle, making it easy to see where the trap formed and where the invalidation sits. • Focus Bands + Event Rails — the latest bull and bear events are highlighted with a forward-extended focus band at the level and a dashed rail connecting break extreme to reclaim point. Older events fade, so the current structural map stays readable. • Family lock system — once a level produces a graded signal, it will not re-fire on the same level family until a new family forms beyond the configured reset band, preventing signal stacking on the same structure. • Auto-clean stale event visuals — focus bands, reclaim pockets and event rails are automatically removed when their anchor level drifts, disappears or ages out, so the chart stays clean across regime shifts. • This script differs from Break-Retest Quality (continuation after a confirmed breakout) by focusing on the opposite case: breakouts that fail and reverse back through the level. 🔸 METHODOLOGY 1. Level Building — Pivot highs and lows are clustered inside an ATR-scaled tolerance band. A level is confirmed only after reaching the required minimum touches and is retired when it exceeds the maximum age in bars. Each confirmed level carries a family ID so nearby re-confirmations do not create duplicate signals. 2. Failed Break Detection — A break is registered when price penetrates a confirmed level by at least the minimum break depth (ATR-based). The script then monitors the reclaim window (capped in bars) and records the break extreme and outside-closes count. 3. Reclaim Confirmation — A reclaim requires close back across the level plus a small ATR buffer. The bar that reclaims is graded for rejection strength using wick, body and close position. 4. Follow-Through Gate — After reclaim, price must extend at least the follow-through ATR in the favorable direction and must not exceed the maximum adverse ATR against the reclaim. Failing either gate cancels the signal. 5. Quality Score — Five sub-scores are combined with user weights to produce the final 0-100 score. Only reclaims at or above the minimum print threshold produce a labeled signal and a reclaim pocket. 🔶 SIGNALS AND ALERTS • Bullish Reclaim — printed below the reclaim bar with a teal label showing the quality score. Indicates a failed breakdown of support. • Bearish Reclaim — printed above the reclaim bar with a pink label showing the quality score. Indicates a failed breakout of resistance. • Panel States — Bull Trap Watch, Bull Reclaim Pending, Bear Trap Watch, Bear Reclaim Pending, Scanning Levels, Building Levels. • Alert Conditions — Bullish Reclaim and Bearish Reclaim, suitable for standard TradingView alert creation. 🔹 KEY INPUTS • Levels — Pivot length, ATR length, level match tolerance (ATR), minimum touches, maximum level age. • Profiles — Toggle for automatic timeframe calibration. • Failed Break Logic — Minimum break depth, reclaim window, follow-through bars, reclaim buffer, minimum follow-through, maximum adverse move, re-arm distance, family reset band. • Score — Minimum score to print and individual weights for Level, Break, Speed, Reject and Follow components. • Visuals — Toggles for confirmed levels, level zones, inner core bands, structure tags, active-zone emphasis, tag connector rails, zone and core half-widths, signal offset, label and tag sizes. • Event Map — Reclaim pockets, focus bands, event rails, non-focus fade, auto-clean stale event visuals, stale event max bars, pad and extend settings. • Panel — Visibility, position (Top Right / Top Left / Bottom Right / Bottom Left) and font size. 🔷 HOW TO USE • Start on the timeframe where the levels look most respected (H1, H4 or Daily). Auto profiles will adjust internal thresholds automatically. • Treat every signal as contextual evidence, not as a standalone entry. Higher scores indicate cleaner events — a shallow break, a fast reclaim, a strong rejection bar and a clean follow-through all lift the score. • Use the reclaim pocket as the structural zone: the level marks the invalidation side, and the break extreme marks the maximum trap depth. Both are visible on the chart. • Combine with your own bias, trend filters, higher-timeframe levels, volume or session structure. The script is designed to sit on top of an existing framework, not replace it. 🔸 LIMITATIONS AND TRANSPARENCY • This is an indicator, not a strategy. It does not place orders, size positions or calculate profit and loss. • Signals are evaluated on bar close. Intrabar wicks can temporarily enter trap states without producing a graded event. • Score thresholds and weights are tunable. Different markets and timeframes benefit from different configurations — the default values are a reasonable starting point, not a universal setting. • All level, reclaim and pocket logic is purely structural and does not include volume, order flow or derivatives data. • Repainting note — level confirmation uses pivots with a fixed lookback. The last pivot is locked once the required forward bars have elapsed; earlier plotted structure does not repaint after that point. 🔶 RISK DISCLOSURE Trading involves substantial risk. This script is a technical analysis tool provided for educational and research purposes only and does not constitute financial advice, investment recommendations or a solicitation to trade. Past performance does not guarantee future results. Always do your own research and apply strict risk management. The author assumes no responsibility for trading decisions made using this script. Published under Mozilla Public License 2.0 — source is open and available for study, review and non-commercial derivative work under the terms of the license.
Chỉ báo Pine Script®
của AGProLabs
Compression Pressure Map [AGPro Series]Compression Pressure Map ⚡ Overview ──────────────────────────────────────── Compression Pressure Map is a structural context tool that measures how tightly price is compressing against the nearest pivot-based level, and evaluates two behavioral scenarios in parallel: breakout anticipation and reversal watch. The output is a visual map of where pressure is accumulating — rendered as an evolving pressure zone that moves through BUILDING, ARMED and READY states. This is not a signal engine, not a forecast, and not a trading strategy. It is a visualization layer that answers a single question: where is compression building around the active level, and in which direction is that pressure leaning. 🧭 Unique Edge ──────────────────────────────────────── Most compression indicators reduce behavior to a single direction. CPM separates compression into two parallel scoring engines that run on the same structural core: 🔹 Breakout Anticipation — pressure building for a directional break through the level 🔹 Reversal Watch — pressure building for a rejection at the level In Auto mode the dominant scenario is rendered on the chart (cleaner visual), while the panel shows both scores side by side for transparency. Power users can lock the engine to a single mode. The active level is stabilized with a clustered pivot refinement and a drift-control lock, so the displayed level stays consistent instead of jumping on every new pivot. A compression gate keeps the pressure score aligned with the compression core: when compression is weak, pressure cannot escalate into high states. 🧪 Methodology ──────────────────────────────────────── The pressure score is a weighted composite of six structural components, measured on the active scenario: 🔹 Range compression (short-window range vs long-window range) 🔹 ATR compression (short-window ATR vs long-window ATR) 🔹 Body tightness (average body size relative to average range) 🔹 Quiet-bar persistence (how many recent bars qualify as calm) 🔹 Proximity to the active level (normalized by ATR) 🔹 Directional posture (slope, close position in bar) Reversal scoring adds wick-rejection weight at the active level (average lower-wick size for bull reversals, upper-wick size for bear reversals). Breakout scoring adds approach slope weight toward the active level. A shared EMA smoothing step produces calmer state transitions. A dominance margin and cooldown prevent rapid scenario flipping. The final score is driven through a BUILDING → ARMED → READY state machine with hysteresis on the zone visibility to avoid flicker. 🎯 Signals & Alerts ──────────────────────────────────────── The state machine produces four transition alerts plus two pace alerts: 🔹 Pressure Armed Near Level — score crosses the armed threshold with an active scenario 🔹 Ready Zone Reached — score crosses the ready threshold with an active scenario 🔹 Armed Bullish / Bearish Scenario — directional armed transitions 🔹 Ready Bullish / Bearish Scenario — directional ready transitions 🔹 Pressure Rising — score is climbing while the zone is live 🔹 Pressure Released — the active scenario resolves (through the level or by decay) On the chart, state transitions are marked with discrete A and R markers on the active side. A score label near price always shows the current pressure value, bias and state for quick reading without opening the panel. ⚙️ Key Inputs ──────────────────────────────────────── 🔹 Engine Mode — Auto, Breakout Anticipation, or Reversal Watch 🔹 Compression Length — main lookback for range, ATR and body tightening 🔹 Trigger Distance (ATR) — how close price must be to a level to start evaluating 🔹 Hold Distance (ATR) — how far price can drift before the active context is cleared 🔹 Pivot Left/Right and Cluster Tolerance — pivot strength and blending behavior 🔹 Compression Gate and Gate Threshold — compression-first discipline control 🔹 Armed / Ready / Zone On / Zone Off Thresholds — state machine calibration 🔹 Full visual controls — zone width, band extend, line width, label size, panel position and font All defaults are tuned for mid-volatility crypto pairs on 1H and 4H timeframes, but the engine adapts across symbols and timeframes through its ATR-normalized distance logic. 📘 How to Use ──────────────────────────────────────── 🔹 Open the indicator in Auto mode and observe which scenario the panel highlights 🔹 Wait for the pressure zone to appear on the chart (BUILD → LIVE transition) 🔹 Read the state: BUILDING means the setup is forming, ARMED means the setup is mature, READY means compression and proximity are both at peak 🔹 Cross-reference with your own structural read — CPM describes the compression landscape, the decision is yours 🔹 If you prefer one behavioral lens only, lock the engine to Breakout Anticipation or Reversal Watch 🔹 Use the Compression Gate to enforce compression-first discipline — when compression is weak, the pressure score stays in WATCH 🔹 The tool is timeframe-agnostic; try it on 15m, 1H, 4H and 1D to see how compression contexts nest CPM is designed to sit alongside your strategy, not replace it. It maps the compression field; you read the context. ⚠️ Limitations & Transparency ──────────────────────────────────────── 🔹 CPM is a context visualization tool, not a signal generator — it does not issue buy or sell calls 🔹 The pressure score is a structural measurement, not a probability estimate 🔹 State transitions describe the compression field at the moment they print; they do not imply what happens next 🔹 Active level refinement is intentionally conservative — the level may feel slower to update than raw pivots, by design 🔹 Very high volatility regimes may keep the compression score low for extended periods, which is the intended behavior 🔹 The tool is deterministic on closed bars; intrabar values are provisional until bar close CPM is released as Public, Open-source under MPL 2.0. The source is fully readable and auditable. 🛡️ Risk Disclosure ──────────────────────────────────────── This indicator is published for educational and analytical purposes only. It is not financial advice, not a trading strategy, and not a recommendation to buy or sell any asset. Past behavior of any level or pressure state does not predict future behavior. Markets carry risk of loss; users are solely responsible for their own decisions and risk management. Always do your own research and consider consulting a qualified professional before making trading or investment decisions.
Chỉ báo Pine Script®
của AGProLabs
Level Survival Map [AGPro Series]Level Survival Map 🔹 Overview Level Survival Map is a premium support and resistance framework that does not just draw lines on the chart. Every detected level carries a live Survival Score between 0 and 100 that answers one simple question: how well is this level still defending itself right now. The map highlights a single Active Level with an interaction zone and a forward projection ribbon, while nearby weaker levels fade, so traders always know which level actually matters for the current decision. 🔸 Unique Edge Most support and resistance tools either show static pivots or basic break or retest events. Level Survival Map goes further by measuring the quality of every interaction and turning it into a single composite health score per level. Instead of being left with a wall of equally important lines, the trader sees a ranked structural battlefield with one clearly identified Active Level, a visible interaction zone and a projection ribbon for planning. The Damage State readout, the Fresh and Eroded state semantics, the automatic flip from broken support to new resistance and the cluster fade for crowded weaker levels are designed to work together as one premium, low-noise workflow. 🔹 Methodology Pivot detection builds the raw candidate levels from swing highs and swing lows using the standard pivot window. A merge filter removes duplicates that sit within a configurable ATR distance of an existing same-type level. Each active level then accumulates four independent components over time. Close Respect rewards closes that respect the level side, for example closes above a support. Penetration Damage penalises wicks and bodies that pierce through the level zone. Reaction Quality rewards strong rejection wicks and bodies moving away from the level after a test. Test Fatigue penalises repeated tests because levels tend to weaken with each new hit. These four components are weighted and combined into a single Survival Score, then clamped between 0 and 100. A structural break caps the score at 35, heavy damage across multiple tests caps it at 28, and a confirmed sequence of opposite-side closes flips the level type while resetting its history. The Active Level is chosen as the closest same-side level to price so that the focus always follows the real decision point. 🔸 Signals and Alerts The visual output itself is the primary signal. Line colour and thickness communicate level strength at a glance. A focused Active Level is drawn with an interaction zone, a darker core band and a forward projection ribbon so that traders can see the exact price band where reaction is most likely, and how far into the future that band is expected to remain relevant. Labels carry the Survival Score directly, so the ranking of levels is always visible without opening any settings. Broken levels switch to a dashed style and faded colour, and once enough opposite-side closes accumulate they flip type automatically, giving a clear visual signature of structural change. 🔹 Key Inputs Pivot Left Bars and Pivot Right Bars control how strict the swing detection is. Max Active Levels caps how many concurrent levels are tracked. Level Merge Distance and Interaction Zone are expressed in ATR units so the logic adapts across timeframes and instruments. Scoring weights for Close Respect, Penetration Damage, Reaction Quality and Test Fatigue can be tuned independently, together with the fatigue penalty per extra test and the number of closes required to confirm a flip. Visual inputs cover panel position, label size, line width, focus emphasis, non-focus transparency, cluster fade, focus zone width and projection ribbon length and thickness. A Clean Map Mode is provided for screenshot and publishing workflows where only the Active Level and the nearest valid support and resistance are labelled. 🔸 How to Use Read the map top down. First, look at the summary panel for the Active Level, its Survival Score, Test Count and Damage State. A Fresh or Strong Active Level defending its side is a high-quality decision point. A Fragile or Eroded Active Level with a Severe Damage State is a warning that the next level below or above is likely to take over. Use the projection ribbon as a planning band for reaction rather than a mechanical entry. Use the ranked non-Active labels to understand where price is likely to travel if the Active Level gives way. The tool is designed to be used as a visual framework, in combination with the trader own execution method, trend context and risk management. 🔹 Limitations and Transparency This indicator is a visual analytical framework, not a strategy, not a signal service and not financial advice. Survival Score, Damage State and flip logic are deterministic functions of price action and ATR, so different markets and timeframes will produce different characteristic score ranges. Pivot based detection is inherently lagging by the Pivot Right Bars window, which is the expected behaviour of any structural tool and not a defect. The Active Level projection ribbon is a visual planning aid, not a forecast. Past level behaviour does not guarantee future behaviour. 🔸 Risk Disclosure Trading involves substantial risk and is not suitable for every investor. This script is published for educational and analytical purposes only. Users are solely responsible for their own trading decisions, position sizing and risk management. Always test any tool on your own instruments and timeframes before using it in a live environment.
Chỉ báo Pine Script®
của AGProLabs
Turtle Soup Reversal Map [AGPro Series]Turtle Soup Reversal Map 🔹 Overview Turtle Soup Reversal Map is a mean-reversion pattern detector inspired by Linda Raschke's classic "Turtle Soup" setup — a counter-attack on failed 20-bar breakouts. When price pierces a multi-bar extreme and then closes back inside the prior range, institutional traders often interpret it as trapped breakout participants being flushed. This script automates the detection, qualifies each setup with a transparent 0–100 score, and projects a reference target alongside an auto-resolving rejection zone. It is designed for traders who want a disciplined, rule-based way to spot failed breakouts without drawing them manually. 🔹 Unique Edge Unlike generic liquidity-sweep or wick-rejection indicators, Turtle Soup Reversal Map is built around Raschke's specific 20-bar-extreme rule — a pattern with decades of documented performance in swing-trading literature. Three characteristics separate it from similar tools: • Strict N-bar-extreme definition (not a simple swing-high/low fade). Price must violate the exact prior-lookback extreme, not just a minor pivot. • Five-component adaptive quality score — wick rejection, volume spike, overshoot magnitude, higher-timeframe trend alignment, and key-level proximity. Each component is a transparent weighted contribution, with clear A+ / A / B / C grades. • Full lifecycle state engine — Pending → Fired → Target/Stop/Invalidated. Setups that do not confirm within their window are auto-invalidated (not left hanging), and live win-rate plus average R-multiple are tracked over the most recent resolved setups. 🔹 Methodology The script continuously monitors for price piercing the highest high or lowest low of the prior N bars (default 20, range 10–50). When a sweep occurs, a Pending setup is created. Confirmation is then evaluated in one of two user-selectable modes: • Same-Bar Close — the violating bar must close back inside the prior range on the same bar (faster, more signals). • Next-Bar Close — Raschke's original specification; the next bar must close back inside the prior range (slower, higher reliability). If confirmation fires, the setup becomes Fired and a reference target is projected from the confirmation close (default 2.5 × ATR(14)). Stop is placed at the sweep extreme plus a configurable ATR buffer. Setups that fail to confirm within their window, or where price overshoots the stop before confirmation, are automatically invalidated. The quality score blends: wick-to-range ratio at the extreme bar, relative volume spike versus its 20-bar average, overshoot magnitude (ATR-normalized with a sweet-spot curve), counter-trend alignment against a user-defined higher timeframe, and proximity to round numbers or recent pivot levels. 🔹 Signals & Alerts The script produces three alert types, all configurable: • Pending — sweep detected, awaiting confirmation. • Fired — confirmation closed back inside prior range. • Invalidated — setup dismissed due to overshoot or window timeout. Each alert message includes direction (Bull/Bear), current grade, ticker, and timeframe. Fired setups are visualized with a labeled confirmation marker, a dashed target-projection line, a dotted stop-reference line, and an auto-closing rejection zone. Labels display the Soup-Bull / Soup-Bear name, grade, and numeric score. 🔹 Key Inputs • Lookback Bars — size of the extreme window (default 20, range 10–50). • Confirmation Mode — Same-Bar Close or Next-Bar Close. • Invalidation Distance (ATR) — stop buffer beyond the sweep extreme (default 0.5). • Target Projection (ATR) — reference reversal target distance from entry (default 2.5). • Quality Score Components — each of the five score components can be toggled independently for custom configurations. • HTF for Trend — higher timeframe used for the trend-alignment component (default 240 min). • Stats Sample Size — rolling window of resolved setups used for win-rate and average reward metrics (default 30). • Visual & Panel Options — zones, lines, labels, target projection, panel location, font sizes, and per-element toggles. 🔹 How to Use 1. Apply to any liquid instrument and timeframe. The pattern's rule set is symbol-agnostic but performs differently across assets — review the live Win Rate and Avg Reward metrics in the panel to calibrate expectations. 2. Watch the Status field in the panel. Idle means no active setup; Pending Bull/Bear means a sweep has occurred and the script is waiting for confirmation; Fired Bull/Bear means confirmation closed and a target has been projected. 3. Filter setups by grade. A+ and A setups have stronger confluence — particularly wick rejection, volume, and HTF alignment. B setups are acceptable under favorable market regimes; C grades are educational only. 4. Treat the target projection as a reference, not a trade instruction. The stop reference line marks where the structural invalidation lies. Always combine with your own risk management. 5. The historical Win Rate is computed over the last N resolved setups on the current chart; it reflects the pattern's fit with the current symbol and timeframe, not a guarantee. 🔹 Limitations & Transparency This indicator identifies historical setups algorithmically. It does not predict future price movement, and no indicator does. Turtle Soup is a counter-trend mean-reversion pattern — in strong trending regimes, false signals increase; in consolidation and range-bound conditions, it performs best. The displayed Win Rate and Avg Reward are historical, rolling, chart-dependent, and should not be interpreted as future expectations. Target and stop references are geometric projections based on ATR, not optimized parameters. 🔹 Risk Disclosure This script is a technical analysis tool for educational and research purposes. It is not a trading strategy, not a recommendation, and not financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. Trade at your own risk.
Chỉ báo Pine Script®
của AGProLabs