Empiece

ATR

Liquidity Thermal Map [JOAT]Liquidity Thermal Map Introduction The Liquidity Thermal Map is an overlay indicator that identifies and visualizes liquidity pockets — price zones where trapped participants are likely clustered — and ranks their significance using a heat-mapped color scale driven by volume and price range data. Rather than treating all swing highs and lows equally, it weights each zone by the liquidity activity present at that pivot bar, then applies power-law contrast stretching so that the most significant zones immediately stand out from background noise. The goal is not to predict where price will go. The goal is to surface which untested zones carry the most liquidity weight, so a trader can make their own informed decisions about potential targets or areas of interest. --- Core Concepts 1. Pivot Detection Zones are seeded at confirmed swing pivots using Pine Script's built-in pivot functions: pivH = ta.pivothigh(high, leftPiv, rightPiv) pivL = ta.pivotlow(low, leftPiv, rightPiv) A pivot high marks a bar where bears may have been trapped above — price reached that level, reversed, and left unfilled orders behind. A pivot low marks the mirror situation for trapped bulls. The left bars and right bars inputs control how many confirming bars are required on each side, balancing sensitivity against noise. 2. Liquidity Metric and Heat Normalization Each pivot is scored using one of three selectable metrics: Vol x Range (default): volume * (high - low) * 100 — rewards bars with both high volume and wide price movement Volume only: raw volume at the pivot bar Range only: the high-low spread at the pivot bar Raw scores are normalized across all active pockets using a rolling min-max calculation: norm = (metric - min) / (max - min) heat = math.pow(norm, heatContrast) The power-law contrast stretch (controlled by the Heat Contrast input) compresses lower-significance pockets toward zero and expands higher-significance ones toward one. A contrast value below 1.0 spreads pockets more evenly; above 1.0, only the highest-scoring pockets register strong color. 3. Zone Construction Each pocket is drawn as a box: Short liquidity pocket (at a pivot HIGH, bears trapped above): top = pivotHigh + ATR * bandWidth, bottom = pivotHigh Long liquidity pocket (at a pivot LOW, bulls trapped below): top = pivotLow, bottom = pivotLow - ATR * bandWidth ATR scaling ensures band width adapts to current volatility rather than using a fixed pip or point value. Short pockets color from yellow (low heat) through deeper yellows. Long pockets color from a faded cyan through solid cyan-blue. Both gradients are computed with color.from_gradient(heat, 0, 1, faded_base, solid_base) , making the heat ranking immediately readable at a glance. 4. Three-State Lifecycle Every pocket passes through a defined state machine: Active: The zone is untested. The box extends rightward each bar by the Extend Bars amount, keeping it visible on the current chart. Hit (Frozen): Triggered when price sweeps through the midpoint of the zone (high >= midpoint AND low <= midpoint on the same bar). The box stops extending, color fades, and the label is removed — signaling that the pocket has been swept and liquidity likely absorbed. Expired: When a pocket's age exceeds the Lookback setting without being hit, it is removed entirely and all associated arrays are cleaned up. This lifecycle gives real-time feedback: solid, bright zones are intact and untested; faded zones have been swept; only the most recent, significant pockets within your lookback window are visible. 5. Scale Legend A 24-cell gradient table is drawn on-chart running from the short liquidity color to the long liquidity color, providing a continuous reference for the heat scale being applied to all visible pockets. --- Features Pivot-anchored liquidity zones for both long and short trapped-participant scenarios Three selectable liquidity metrics: Vol x Range, Volume only, Range only Power-law contrast stretching for visual prioritization of high-significance zones ATR-scaled zone width that adapts to current market volatility Three-state lifecycle (Active → Hit → Expired) per pocket with visual state changes Dual-color gradient system — cyan-blue for long pockets, yellow for short pockets On-chart 24-cell heat scale legend Configurable max pocket count to manage chart performance Visual toggles for boxes, labels, and the legend table --- Input Parameters Pivot Left Bars (default 10): Bars required to the left of a pivot for confirmation. Higher values = fewer, more significant pivots. Pivot Right Bars (default 5): Bars required to the right of a pivot for confirmation. Increasing this delays detection but improves pivot quality. Lookback / Max Age (default 200): Maximum bar age before a pocket expires and is removed. Max Pockets (default 50): Upper limit on simultaneous active pockets. Reducing this improves performance on lower-end charts. ATR Length (default 14): Period for the ATR calculation used in band width scaling. ATR Band Width (default 0.5): Multiplier applied to ATR to set zone height. Higher values create wider zones. Extend Bars (default 50): How many bars ahead each active pocket box extends on each update. Heat Contrast (default 0.5): Power-law exponent for contrast stretching. Values below 1.0 spread pockets more evenly; above 1.0 increases contrast between high and low scoring zones. Metric Mode: Selects the liquidity scoring metric — Vol x Range, Volume, or Range. Show Boxes / Show Labels / Show Legend: Individual visibility toggles for each visual component. --- How to Use Identifying high-priority zones: Bright, fully saturated boxes represent the highest-scoring untested liquidity pockets within your lookback window. These are the zones where the most volume-weighted trapped participants may be present. Tracking swept zones: When a box fades, the pocket has been hit — price moved through its midpoint. Faded zones can serve as reference for areas that have already seen liquidity absorption. Adjusting sensitivity: Increasing the left/right pivot bars reduces the total number of pivots detected, focusing only on more structurally significant swing points. Decreasing them creates a denser map suitable for shorter timeframes. Interpreting the legend: The 24-cell scale legend in the corner maps the full gradient range, from the lowest-heat short pocket color to the highest-heat long pocket color. Timeframe considerations: On higher timeframes (4H, Daily), fewer pivots form and each carries more weight. On lower timeframes, tightening the ATR band width and increasing heat contrast helps reduce visual clutter. --- Limitations Pivot detection is inherently lagging — a pivot is only confirmed after the right-side bars have closed, meaning the zone is plotted some bars after the pivot actually formed. The liquidity metric scores a pocket by activity at the pivot bar itself , not the full swing sequence leading to it. A pivot formed on a single high-volume bar will score higher than one formed over a gradual, multi-bar move. Volume data quality varies by broker and data feed. On instruments with unreliable or synthetic volume (some forex pairs, CFDs), the Vol x Range metric may not reflect true market participation. The indicator does not account for partial fills or iceberg orders. A zone being "hit" means price swept through the midpoint — it does not confirm full liquidity absorption. No indicator, including this one, predicts future price movement. A high-heat untested zone is an area of potential interest, not a guaranteed reversal or reaction point. Performance may degrade on very active charts with high Max Pocket settings. Reduce Max Pockets if chart rendering slows. The heat scale is relative to the current set of visible pockets. Adding more historical data (longer lookback) changes the normalization range and will recolor all currently visible pockets. --- Originality Statement Most liquidity mapping tools mark swing highs and lows with equal visual weight — every pivot gets the same line, box, or label. This indicator departs from that approach in three ways: First , each pocket is scored by the product of volume and price range at its pivot bar (or volume/range alone as alternatives), producing a liquidity significance score rather than a binary present/absent mark. Second , power-law contrast stretching is applied to the normalized scores, which means the visual encoding (color saturation) is non-linear. Minor pockets compress toward the faded end of the gradient; truly significant pockets expand toward the saturated end. This is a deliberate perceptual design choice — not simply coloring zones by value, but stretching the gradient to maximize discriminability at the high end. Third , the three-state lifecycle (Active → Hit → Expired) treats each pocket as a dynamic object that responds to price action in real time. The visual state change on hit provides immediate feedback without requiring the trader to manually track which levels have been tested. The combination of significance scoring, contrast-stretched heat mapping, and lifecycle state management in a single overlay tool is the core contribution of this indicator. --- Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Past behavior of price around liquidity zones does not guarantee future behavior. All trading involves risk. You are solely responsible for your own trading decisions. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Structural Momentum Bias [JOAT] Structural Momentum Bias Introduction Structural Momentum Bias is an overlay indicator that combines pivot-based market structure classification with a double-smoothed momentum band system to identify the current market regime and its directional bias. The indicator continuously tracks swing highs and lows, classifies them as higher highs, lower highs, higher lows, or lower lows, and scores momentum strength on a 0-5 scale using band position and structure alignment. A break-of-structure detection system marks confirmed liquidity shifts in real time. The core problem this indicator addresses is the disconnect between price structure and momentum. Many traders either follow structure without measuring momentum strength, or use oscillators without understanding what market structure those signals occur within. This indicator unifies both, producing a regime label (Bullish, Bearish, or Ranging) backed by a quantified score. A regime classification without a corresponding score is ambiguous. A score without regime context is incomplete. Together they provide a clearer picture of where the market is and how strongly it is in that state. Core Concepts 1. Double-Smoothed Baseline (SMEMA) The baseline uses a two-pass smoothing method: an EMA applied to price, followed by an SMA applied to that EMA. This reduces noise while maintaining responsiveness. It outperforms a simple MA in choppy markets because the double-pass eliminates high-frequency oscillations that cause false regime flips. The baseline slope (rising or falling) is one input into the regime classification. 2. Dynamic Step Channel The channel bands are not fixed multiples of ATR. Instead, they use the 100-bar average of the high-low range as the step unit, producing three tiers of bands above and below the baseline. This approach adapts to each instrument's natural swing amplitude without requiring manual calibration per market. Each band tier has a gradient color that intensifies as price approaches that level from within the channel, providing visual distance context. 3. Pivot-Based Structure Classification Swing highs and lows are identified using confirmed pivots (lookback left and right bars). The indicator classifies the relationship between successive pivots as HH (higher high), LH (lower high), HL (higher low), or LL (lower low). These four states are combined to determine whether structure is bullish (HH + HL), bearish (LH + LL), or mixed. Importantly, pivot detection is offset by the lookback period, so no repainting occurs — a pivot is only confirmed when enough subsequent bars have closed to validate it. 4. Momentum Strength Score (0-5) The score adds one point for each of: price above band tier 1, price above band tier 2, price above band tier 3, higher high present, and higher low present (inverted for bearish scoring). This produces a 0-5 integer that quantifies how strongly the market is expressing the current regime. A score of 5 in a bullish regime means price is extended above all three band tiers with confirmed higher highs and higher lows — a strongly trending condition. A score of 1 or 2 suggests marginal or weakening conditions. 5. Break of Structure (BOS) Detection A bullish BOS is confirmed when price closes above the most recent swing high on a confirmed bar. A bearish BOS is confirmed when price closes below the most recent swing low. The BOS line is drawn from the pivot bar to the current bar and extends right, with a thick transparent shadow line providing visual depth. BOS detection only fires on barstate.isconfirmed, preventing any repainting. Features Regime Dashboard: 9-row dark-themed table showing regime, baseline direction, bull score, bear score, structure state, ATR, and last BOS Dynamic Momentum Bands: Six gradient-colored bands (three above, three below) that visually represent price position within the momentum channel SMEMA Baseline: Color-coded by regime, changes in real time as regime shifts Break of Structure Lines: Thin solid + thick ghost dual-line rendering at confirmed structural breaks, extending to the current bar Confirmed Pivot Dots: Small circles at each confirmed swing high and low, plotted at the exact pivot bar Bar Coloring: Candles are colored by current regime state Band Fill Gradients: Fill between band tiers intensifies based on price proximity Input Parameters Structure Settings: Pivot Lookback: Number of bars left and right required to confirm a pivot (default: 5) Baseline Length: Period for the SMEMA double-smoothed baseline (default: 10) Show Structure Breaks: Toggle BOS line rendering Visual Settings: Dashboard toggle and position Momentum Bands toggle Bullish, Bearish, and Ranging color inputs How to Use This Indicator Step 1: Read the Regime The dashboard label and bar coloring immediately show the current regime. Bullish requires the baseline to be rising and a momentum score of 2 or more. Step 2: Assess Score Strength A score of 4-5 indicates a well-developed trend with band extension and confirmed structure. A score of 1-2 suggests the regime is marginal and may not sustain. Step 3: Watch for BOS Events A BOS in the direction of the regime adds confirmation that a structural shift has occurred. A counter-regime BOS is an early warning that conditions may be changing. Step 4: Use Bands for Context Price returning to the baseline from above in a bullish regime is a potential pullback entry area. Price extending above band tier 2 or 3 suggests overextension. Limitations The pivot confirmation delay (lookback bars) means BOS signals and pivot markers appear several bars after the actual swing point. This is a deliberate design choice to prevent repainting The regime score of 2 as the minimum threshold for classification means borderline conditions will oscillate between Ranging and a directional regime on consecutive bars The SMEMA baseline is smoother than a standard EMA but still lags price. In fast-moving markets this lag may cause regime flips after significant portions of a move have already occurred Band width is determined by the 100-bar average of bar ranges. In markets with sudden volatility regime changes (such as after news releases), the bands may not reflect the new volatility environment for many bars Originality Statement This indicator is original in its specific combination of elements and the scoring framework it produces. The justification for combining structure detection with a band-based scoring system is that neither component alone provides actionable context. Structure alone (HH/HL) says direction but not strength. Bands alone say relative position but not structural validity. The 0-5 score synthesizes both into a single conviction metric. The double-smoothed baseline (EMA of EMA, then SMA) is a deliberate design choice that reduces false regime flips without the extreme lag of longer single-pass averages. The dynamic step channel uses bar range (not ATR) as its unit, which scales naturally with each instrument's price action characteristics. Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Past structural patterns do not guarantee their repetition. A bullish regime classification does not predict future price direction. Always apply proper risk management. The author is not responsible for any trading losses. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Market Structure Navigator [JOAT]Market Structure Navigator Introduction Market structure is one of the most widely discussed concepts in technical analysis, yet most tools that attempt to visualize it reduce swing highs and swing lows to single price points. In practice, price rarely reverses at a precise tick level — it reacts within a zone , which may span several ATR units depending on the instrument and timeframe. This distinction matters: treating a level as a point rather than a zone leads to false breaks being mistaken for genuine structural shifts. The Market Structure Navigator addresses this by modeling every significant swing high and swing low as an ATR-based zone with measurable thickness. It tracks two layers of structure simultaneously — external (major) pivots that define the larger-degree trend, and internal (minor) pivots that provide context within that trend. Each zone passes through a three-state lifecycle, and structural breaks are automatically classified as either Break of Structure (BOS) or Change of Character (CHoCH), giving you an immediate read on whether a break confirms the existing trend or signals a potential reversal. This is an overlay indicator — all elements are drawn directly on the price chart. --- Core Concepts Dual-Layer Structure: External and Internal The indicator identifies two categories of structural pivots using TradingView's built-in pivot functions: External structure (major): Pivots requiring a configurable number of bars on each side (default 20). These are the significant swing highs and lows that define the broader trend context. They update less frequently and represent the higher-degree market structure. Internal structure (minor): Pivots requiring fewer bars on each side (default 7). These fire more frequently and capture the sub-swings that occur within the larger structural moves. This dual-layer approach mirrors how institutional analysis treats structure: external levels define the direction of the larger trend; internal levels provide precision context for entries and exits within that trend. Zone Geometry and ATR Thickness Rather than marking a pivot as a single horizontal line, each pivot is rendered as a rectangular zone. The zone's top and bottom are calculated as: zoneTop = pivotPrice + (ATR * zoneAtrMult) zoneBottom = pivotPrice - (ATR * zoneAtrMult) The default ATR multiplier is 0.5, meaning the zone extends half an ATR above and below the pivot price. This thickness is dynamic — it adjusts to the current volatility of the instrument rather than using a fixed pip or point value. Zones extend to the right as new bars form, keeping them visible as price approaches. Three-State Zone Lifecycle Every zone passes through three possible states: Active (State 0): The zone has formed and not yet been tested. It extends to the right as bars pass, representing untested support or resistance. This is the most significant state — an active zone has not had its interest absorbed. Swept (State 1): Price has reached the midpoint of the zone (configurable as either a wick touch or a close through the midpoint). A swept zone has been tested and shows that some activity occurred at that level. It may have weakened but is not yet confirmed as broken. Broken (State 2): Price has closed decisively beyond the zone boundary (above the top for a resistance zone, below the bottom for a support zone). A broken zone stops extending. This state marks the structural failure of that level. This lifecycle gives actionable information that a single horizontal line cannot. An active zone is very different from a swept zone even if they appear at the same price level. BOS and CHoCH Classification When price breaks through the last significant external high or low, the indicator determines whether the break is: Break of Structure (BOS): The break occurs in the same direction as the current trend. A bullish BOS is a higher high that extends a confirmed uptrend; a bearish BOS is a lower low extending a downtrend. BOS signals trend continuation. Change of Character (CHoCH): The break occurs against the current trend direction. A CHoCH in a downtrend means price has broken above the last significant swing high — a structural signal that the trend may be reversing. CHoCH signals a potential regime shift, not a confirmed reversal. Both external and internal structural breaks are tracked separately. An internal CHoCH during an external downtrend, for example, may represent a short-term countertrend move within a larger bearish structure — context that a single-layer tool would miss. Momentum Normalization Momentum is calculated as the normalized price change: momentum = priceChange / stdev(close, lookback) This expresses the size of recent price movement in terms of its own standard deviation, making the momentum reading comparable across different instruments and volatility regimes. Target Arrows When an internal structural break occurs, the indicator draws a directional arrow label pointing toward the next significant external level. This provides a visual read on where price may be targeting within the larger structural context. --- Features Dual-layer structure detection: external major pivots and internal minor pivots tracked independently ATR-dynamic zone thickness — zones adapt to current instrument volatility Three-state zone lifecycle: Active, Swept, Broken — each visually distinct Automatic BOS vs. CHoCH classification for both external and internal breaks Configurable sweep mode: wick-based (high/low touches midpoint) or close-based (close through midpoint) Equal high/low detection with configurable ATR tolerance to flag double tops/bottoms Target arrows on internal breaks pointing toward the next external level Dashboard table showing trend state, momentum, active zone counts, last known structural levels, and last break type Full visual toggle controls for all overlay elements Maximum zone count cap per type to maintain chart performance --- Dashboard Table A table displayed at the top-right of the chart provides a live summary of structural conditions: Ext Trend: Current external trend direction (Bullish / Bearish) Int Trend: Current internal trend direction Momentum: Normalised momentum value Ext Zones Active: Number of currently active external zones Int Zones Active: Number of currently active internal zones Last Ext High / Low: Price level of the most recent significant external pivot high and low Last Break: The most recent break type (eBOS, eCHoCH, iBOS, iCHoCH) --- Color System External high zones: red External low zones: white Internal high zones: teal Internal low zones: blue BOS labels: green CHoCH labels: red This color separation allows you to immediately distinguish between the two structural layers without reading labels. --- Input Parameters External Pivot Length (default 20) — bars required on each side for a major pivot to confirm Internal Pivot Length (default 7) — bars required on each side for a minor pivot to confirm ATR Length (default 14) — ATR period used for zone thickness calculation Zone ATR Multiplier (default 0.5) — controls how wide each zone is relative to ATR Equal H/L Tolerance (default 0.3 ATR) — how close two pivots must be to be considered equal highs or lows Sweep Mode (Wick / Close) — whether zone sweeps are triggered by wick touch or candle close through the midpoint Max Zones Per Type (default 40) — caps the number of active zones drawn per category to preserve chart performance BOS Lookback (default 30) — bars looked back when checking for structural breaks Visual Toggles — individual controls for zones, BOS/CHoCH labels, target arrows, and the dashboard table --- How to Use Apply to any chart. The indicator will begin plotting zones as enough bars form to confirm pivots at the chosen lengths. Allow sufficient historical bars to load so that the external pivots have time to confirm — with extLen set to 20, a pivot requires 20 bars after the swing point before it is officially plotted. Read the external layer first. The external trend (eBOS/eCHoCH sequence) tells you the larger-degree direction. Trade in alignment with this unless you have strong reason to fade it. Use the internal layer for timing. Internal CHoCH events within an external uptrend can signal pullback entries; internal BOS events in the direction of the external trend can confirm continuation. Active zones are the most significant. A first-touch of an active zone is generally more meaningful than a return to a swept or broken zone. When price approaches a zone, check the sweep mode setting and monitor whether price is reaching the midpoint (sweep) or closing through the boundary (break). The target arrow on an internal break shows the next external level — this is a reference, not a guaranteed target. --- Limitations Pivot detection is inherently lagging. A pivot at bar N is only confirmed after N + extLen (or intLen) additional bars have formed. This means zones appear after the fact — the exact pivot price was in the past by the time the zone is drawn. With longer pivot lengths, the indicator requires more historical bars to display meaningful structure. On short lookback windows or when first applied to a chart, the initial display may show few or no zones until sufficient pivot confirmation has accumulated. ATR-based zone thickness means zone width changes with volatility. During high-volatility periods, zones become wider and may overlap. During compressed volatility, zones are narrower. Adjust the ATR multiplier if zones are too wide or too narrow for your preferred trading style. The BOS/CHoCH classification is based on the direction of the previous break relative to the current one. In choppy, range-bound markets, rapid BOS/CHoCH alternation is possible and does not necessarily indicate a trend — it may simply reflect noise. Zone lifecycle states reflect price behavior relative to the zone midpoint and boundary. They do not predict whether a swept zone will hold or whether a broken zone will become a new support/resistance level. Maximum zone count limits (default 40 per type) are necessary to maintain chart performance. On instruments or timeframes with many pivot formations, older zones will be removed as new ones are added. No indicator can classify market structure with certainty in real time. CHoCH signals a potential reversal; it does not confirm one. Always apply additional judgment. --- Originality Statement The distinguishing design decisions in this indicator are: zone-based pivot modeling, the three-state lifecycle, and the integrated dual-layer structure system. Most structure tools mark a swing high or low as a horizontal line at a single price. This indicator models each pivot as a zone with ATR-derived thickness, acknowledging that price reactions do not occur at a tick but within a range that varies with the instrument's current volatility. A 0.5 ATR zone around a pivot is a more honest representation of where liquidity and interest are likely to cluster. The three-state lifecycle (Active → Swept → Broken) adds information that static horizontal lines cannot convey. An active zone that has never been tested is categorically different from one that has seen a wick test — and both are different from a zone that has been fully broken. Treating these three states identically discards relevant context. The dual-layer architecture (external major + internal minor) is not simply running the same algorithm twice at different sensitivities. The external layer provides the trend framework; the internal layer provides the tactical sub-structure within it. The BOS/CHoCH classification connects these two layers — an internal CHoCH is interpreted in the context of the external trend direction, not in isolation. --- Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. All trading involves risk, including the possible loss of principal. Past indicator performance does not guarantee future results. Always conduct your own research and consult a qualified financial professional before making any trading decisions. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
AG Pro Cross-Timeframe Value Overlay [AGPro Series]AG Pro Cross-Timeframe Value Overlay ----- OVERVIEW / WHAT IT DOES ----- AG Pro CVO overlays up to three independent rolling value bands — one per selected higher timeframe — onto a single chart. Each band represents where price has been accepted on that timeframe over a configurable lookback window. The script then detects when those bands agree, overlap, or diverge, and labels the current market structure with one clear state so that cross- timeframe context is readable at a glance. Unlike a bias dashboard or a full volume profile, this tool is deliberately kept compact. It is not meant to replace structural analysis — it is meant to give a trader a fast visual answer to a single question: "Do the timeframes I care about agree on what price is worth right now?" ----- UNIQUE EDGE ----- Most multi-timeframe tools either (a) overlay HTF candles, which add noise and compress price action, or (b) show directional HTF bias with arrows and backgrounds, which tells you where the HTF trend points but nothing about the price zone the HTF considers "fair". AG Pro CVO takes a different angle. It isolates the accepted value zone of each higher timeframe and layers those zones on the chart with a consistent opacity hierarchy — the slowest timeframe drawn lightest so it frames the chart without dominating it. Traders can see in a single glance whether a level is defended by one timeframe, two, or all three at the same price. ----- METHODOLOGY ----- For each enabled timeframe, the script computes a rolling value band: center = rolling VWAP over N HTF-bars (or HLC3 SMA if volume is unreliable) half = ATR over N HTF-bars multiplied by a width factor band = The computation is run inside request.security() on the requested timeframe, so the band reflects that timeframe's own bars — not a reprojection of chart-timeframe data. Lookahead is set to OFF, so the band values on historical bars are the values that were actually available at the time. The state engine then classifies the current relationship between the enabled bands: - ALIGNED — All enabled centers cluster within a user-selectable ATR threshold of their mean. - OVERLAP — At least one pair of bands shares a price region. - CONFLICT — At least one pair of bands is fully disjoint and no alignment condition is met. - NEUTRAL — None of the above applies. ----- SIGNALS & ALERTS ----- Three alerts are provided: 1. Value Overlap Detected — fires when a new pair of timeframe bands begins to overlap on the current bar. 2. Higher-Timeframe Value Lost — fires when price closes outside the dominant (highest enabled) timeframe value band after having been inside it on the previous bar. 3. Cross-Timeframe Conflict Emerged — fires when the state transitions into CONFLICT. These are structural alerts, not entry or exit signals. They are intended to flag meaningful changes in multi-timeframe agreement so the trader can review the chart and make a discretionary decision. ----- KEY INPUTS ----- - TF 1 / TF 2 / TF 3 — each timeframe can be enabled independently. The script never needs all three; two timeframes already produce a valid overlay. - Rolling Window — number of bars (on each timeframe) used for the rolling VWAP and ATR. Higher values produce wider, slower bands. - Band Width (ATR multiplier) — controls how wide each value band is around its center. 1.0 ATR approximates a one-sigma accepted zone on most markets. - Anchor Method — VWAP + ATR for markets with reliable volume; HLC3 MA + ATR for markets without. - Alignment Strictness — Loose / Standard / Strict thresholds for the ALIGNED state. - Show Only Overlapping Bands — hides timeframe bands that are currently isolated, so only confluence zones remain visible. - Box Opacity, Band Colors, Label Size, Panel Position, Panel Font Size — standard AGPro visual controls. ----- HOW TO USE ----- 1. Choose the three timeframes that matter for your trading horizon. A common setup for intraday crypto is 1H / 4H / 1D. 2. Watch for confluence: when price reacts from a region where two or three bands overlap, that region is being defended by multiple timeframes at once. 3. Watch for the ALIGNED state: when all enabled centers cluster tightly, cross-timeframe agreement on "fair value" is high and directional moves usually require a catalyst. 4. Watch for CONFLICT: when bands have fully separated, timeframes are pricing very different things and breakouts between the bands tend to be more directional. 5. Use the alerts as notification triggers, not as entries. ----- LIMITATIONS & TRANSPARENCY ----- - The value bands are rolling — they update as new HTF bars close. On very recent bars the higher-timeframe band can still be forming. - request.security() is called with lookahead = OFF. Historical values reflect only data that was available at the time. - The script does not predict direction. A band is a descriptive zone, not a forecast. - Results depend on the user's choice of timeframes and lookback. Shorter lookbacks react faster but are noisier; longer lookbacks are smoother but slower to adapt. - Volume-based VWAP is only as good as the exchange's reported volume. On markets where volume is unreliable, use the HLC3 MA + ATR mode. - This is an indicator, not a strategy. It produces no entries, no exits, no position sizing, and no backtest. ----- RISK DISCLOSURE ----- This script is provided for educational and research purposes only. It is not financial advice, not a recommendation, and not a strategy. Trading involves substantial risk and you can lose more than you invest. Past behavior of price within any value band does not guarantee future behavior. Always do your own analysis and manage risk appropriately.
Indicador Pine Script®
por AGProLabs
AG Pro Volatility Shape Classifier [AGPro Series]AG Pro Volatility Shape Classifier Overview / What it does AG Pro Volatility Shape Classifier is a chart-first analytical tool that goes beyond measuring whether volatility is simply high or low. Instead, it examines the character or shape that volatility is taking on a bar-by-bar basis and classifies each moment on the chart into one of five distinct regimes: • Expansion · Smooth — high volatility expanding in a controlled, directional way • Expansion · Chaotic — high volatility with erratic, whipsaw-style bar behavior • Expansion · Choppy — high volatility with no consistent direction • Low-Vol · Drift — low volatility with a mild directional lean • Low-Vol · Dead — very low volatility with no directional character Classification is displayed through three coordinated visual layers: a subtle full-chart background tint that colors each bar according to its current shape, a compact state badge that appears only at confirmed shape transitions, and a small on-chart panel summarizing the current shape alongside the three underlying metrics that produced it. The result is a continuous visual narrative of how volatility is behaving, not just how large it is. This is intended as a context and framing tool. It is not a trading strategy, it does not forecast direction, and it does not generate buy or sell signals. It provides a structured vocabulary for describing the current volatility environment so that users can pair that context with their own analysis, risk management, and execution logic. Unique Edge Most volatility tools on TradingView measure a single dimension: magnitude. ATR tells you how large bars are. Bollinger Band Width tells you how wide the envelope is. Squeeze indicators tell you whether the range is contracting. What they typically do not answer is what the volatility is doing internally. Two periods can share the same ATR reading and look completely different to a discretionary reader: one may be a clean, well-organized expansion with bars of similar size all pointing the same way, while another may be a violent whipsaw where each bar flips against the last. The raw level does not distinguish these cases, but they are structurally very different. AG Pro Volatility Shape Classifier is built specifically around that distinction. It evaluates three complementary dimensions of volatility behavior and combines them into a compact shape taxonomy. This allows the script to describe volatility the way an experienced chart reader already does: smooth, chaotic, choppy, drifting, or dead. The goal is to give that intuition a structured, reproducible visual form. This also differentiates the script from compression and squeeze tools, which focus on the maturity or tightness of a low-volatility phase, and from volatility regime dashboards, which typically classify based on magnitude alone. Methodology The script combines three internal components: 1) Volatility Level The current ATR is normalized against a longer baseline ATR (default three times the primary length). This produces a ratio where 1.0 represents typical volatility, above 1.0 indicates expansion, and below 1.0 indicates contraction. 2) Smoothness Bar-to-bar absolute moves are collected over the primary window. The coefficient of variation of those moves (standard deviation divided by mean) measures how consistent bar sizes are. Low values indicate smooth, regularly-sized bars. High values indicate erratic, flash-style movement. 3) Directional Consistency The absolute net move over the window is divided by the sum of absolute bar moves. Values near 1.0 indicate that bars consistently point the same way (a trend). Values near 0.0 indicate that bars cancel one another out (chop). These three readings are mapped to the five shape classes through a set of rule-based thresholds. Thresholds are tuned by the Shape Sensitivity setting (Conservative, Balanced, Aggressive) which adjusts how strict the classification is before a bar qualifies for a given shape. To prevent flickering between regimes, the script applies a confirmation mechanism: when Strict Transition is enabled, a new shape must persist for a configurable number of consecutive bars before the confirmed classification updates. A stickiness rule further keeps the confirmed shape stable during in-between bars that fall outside any shape's strict criteria, so the chart does not flicker back to a neutral state during normal micro-noise. Signals & Alerts The script includes deterministic alert conditions for the following events: • Shape Shifted to Smooth Expansion — the confirmed shape has transitioned into Expansion · Smooth. • Shape Shifted to Chaotic Expansion — the confirmed shape has transitioned into Expansion · Chaotic. • Shape Shifted to Choppy Expansion — the confirmed shape has transitioned into Expansion · Choppy. • Shape Collapsed — the confirmed shape has transitioned from any expansion regime into either Low-Vol · Drift or Low-Vol · Dead. These alerts are context markers. They indicate that the character of volatility has changed according to the script's internal logic. They are not trade instructions and they do not imply direction or timing of any specific market move. Key Inputs Engine • Volatility Length — primary window for ATR and smoothness calculations. • Shape Sensitivity — Conservative, Balanced, or Aggressive. Controls how strict the classification thresholds are. • Strict Transition — when enabled, new shapes must be confirmed for several consecutive bars before committing. • Confirmation Bars — number of consecutive bars required for a strict transition. • Badge Cooldown — minimum number of bars between any two badge labels, preventing clutter during rapid shape changes. Visuals • Show Background Tint — colors each bar's background subtly according to the current shape. • Tint Transparency — adjusts how prominent the background tint is (default is very subtle). • Show State Badge — a compact label appears when the confirmed shape changes. • Show Info Panel — small table summarizing current shape, volatility level, smoothness, and direction. • Panel Position / Panel Font Size / Label Font Size — layout and readability controls. Colors • Each of the five shape classes has its own configurable color, and the neutral or warm-up state has its own. Defaults are tuned to stay readable without creating visual noise. How to use it The script is designed to be used as a context layer beneath other analytical tools. Because each shape class describes a different kind of market behavior, users may find different shapes relevant for different workflows. Some practical examples of how the classification can be read: • Expansion · Smooth indicates that volatility is expanding in an orderly way, which is the kind of environment where trend-following workflows tend to perform better. The directional arrow on the badge indicates whether the smooth expansion is developing upward or downward. • Expansion · Chaotic warns that volatility has expanded in a disorganized manner, typical of whipsaw phases where breakout entries often fail. • Expansion · Choppy highlights high volatility with no net direction, often seen during range-bound news-driven conditions. • Low-Vol · Drift describes slow, quiet migration — not a tight coil, but a gentle lean. Pattern-based traders may find these environments less reactive than expansion phases. • Low-Vol · Dead indicates a genuinely quiet market with no direction, where short-term activity is typically lower-quality. Users are encouraged to treat shape classifications as environmental context rather than as entry triggers, and to combine them with their own structural, directional, and risk analysis. Limitations & Transparency This script is an interpretation tool. Its classifications are generated from a fixed ruleset and will reflect the parameters that are chosen. Different Volatility Length settings, different Sensitivity modes, and different Strict Transition configurations can produce noticeably different shape histories on the same chart. That is normal and expected — the script is a structured lens, not a single correct reading of the market. The shape taxonomy is descriptive, not predictive. A bar classified as Expansion · Smooth does not mean a continuation is guaranteed. A Chaotic reading does not guarantee a reversal. A Dead reading does not guarantee an upcoming breakout. The script describes the present volatility character and leaves forward-looking interpretation entirely to the user. Smoothness and Directional Consistency are window-based statistics, so near the very beginning of the chart (during warm-up) they may be less reliable. The script is most useful once enough bars have accumulated for the internal baselines to stabilize. Risk Disclosure This indicator is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. Markets involve substantial risk of loss. Past market behavior does not guarantee future results. Before making any trading decision, users should perform their own analysis, consider their personal risk tolerance, and consult a qualified professional where appropriate.
Indicador Pine Script®
por AGProLabs
Volatility Terrain Engine [JOAT] Volatility Terrain Engine Introduction Volatility Terrain Engine is a pane-based oscillator that measures the current volatility regime using the ratio between a fast ATR and a slow ATR, combined with a percentile rank of current volatility within a historical window. The indicator classifies every bar into one of three states — Expansion, Compression, or Transition — and identifies squeeze conditions (volatility compressing well below its average) and expansion bursts (volatility accelerating rapidly). The oscillator, centered at zero, makes it immediately clear whether volatility is expanding or contracting relative to its baseline. Volatility regime is one of the most underappreciated dimensions of market analysis. A trend-following strategy applied during volatility compression produces poor results because the market is not moving directionally with sufficient energy. A mean-reversion strategy applied during volatility expansion gets stopped out repeatedly because the market is generating outsized moves. Identifying the current volatility terrain before applying any strategy is a prerequisite for selecting the appropriate approach. Core Concepts 1. Fast/Slow ATR Ratio The primary oscillator compares a short-period ATR (default 14) against a long-period ATR (default 100). Their ratio, centered at 1.0, is shifted to center at 0.0 by subtracting 1. Values above 0 mean recent volatility is expanding relative to the longer-term baseline; values below 0 mean it is contracting. This ratio is more informative than ATR alone because it provides context — the same ATR value means different things in a historically volatile versus historically calm market. 2. Percentile Rank The ATR percentile rank answers: where does today's volatility sit within its historical distribution? A 90th percentile reading means volatility is higher than 90% of observations in the lookback period. This is used to classify whether the current environment is historically extreme or within normal parameters. 3. Squeeze and Expansion Burst Detection A squeeze is defined as fast ATR falling below 82% of slow ATR and also below its own 20-bar average. This double condition filters single-bar dips. A squeeze represents stored energy — the market is coiling. An expansion burst is defined as the ATR ratio exceeding 1.25 with the fast ATR making successive higher values. This marks the initial stages of a volatility explosion. 4. Signal Line and Histogram The oscillator is triple-processed: EMA of ratio → SMA signal → histogram. The histogram shows the divergence between the oscillator and its signal, providing a leading read on whether volatility momentum is building or fading. Features Volatility Regime Oscillator: Gradient-colored histogram bars centered at zero Squeeze Detection: Dashboard alert and dot marker when squeeze conditions are active Expansion Burst Markers: Dot markers when volatility breaks out from compression ATR Percentile Band: Normalized ATR rank plotted as a secondary line Zone Fills: Expansion and compression zones filled with transparent color 8-Row Dashboard: Regime, ATR values, ratio, percentile rank, squeeze status, oscillator values Input Parameters Fast ATR Period: Short-term volatility measurement (default: 14) Slow ATR Period: Long-term volatility baseline (default: 100) Percentile Lookback: Historical window for rank calculation (default: 252) Signal Smoothing: Signal line period (default: 9) Expansion, Compression, and Transition color inputs How to Use This Indicator Compression → Expansion Transition The most significant signal is when a squeeze resolves into an expansion burst. This represents a volatility state change — the market has been coiling and is now releasing energy. The direction of that release is not predicted by this indicator; it must be determined using price structure and other context. Oscillator Zero Cross The oscillator crossing from negative to positive territory indicates that short-term volatility has exceeded the long-term baseline. This is not a trade signal — it is a condition indicator confirming that the market is entering a higher-energy phase. High Percentile + Expansion When the oscillator is in expansion territory and the ATR percentile rank is above 80, the market is experiencing historically significant volatility. Stops must be sized accordingly. Limitations ATR is backward-looking. Sudden volatility spikes from news events will appear in the oscillator only after those bars close The squeeze condition uses fixed multipliers (0.82 for the ATR ratio threshold). Markets with different typical volatility profiles may require adjustments to these thresholds The percentile lookback of 252 bars requires approximately one year of daily data or equivalent for the rank to be historically meaningful. On shorter data sets the rank will be computed on whatever bars are available but will be less statistically robust This indicator classifies current conditions only. It does not predict when a squeeze will resolve or in which direction Originality Statement The dual-ATR ratio approach combined with percentile ranking provides more contextual information than either measure alone. The squeeze detection using a double condition (ratio below threshold and below its own moving average) produces more reliable squeeze identification than a single-condition approach. The four-state histogram coloring (expanding positive, fading positive, expanding negative, fading negative) provides more nuanced momentum information than standard positive/negative coloring. Disclaimer This indicator is for educational and informational purposes only. Volatility regime classification does not predict price direction. A squeeze does not guarantee a subsequent expansion, and the direction of any expansion is unknowable from volatility data alone. Always use appropriate risk management. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Gap Fill + Opening Range StrategyWhy this is trending now Right now (especially in US markets): - Markets are opening with large gaps (overnight news, macro tension) - Price often either: - fills the gap - or strongly rejects and trends away Traders are focusing on: gap behavior opening range breakout/reversal early session volatility Strategy Idea This strategy combines: 1. Gap Detection Today’s open vs yesterday’s close 2. Opening Range (first X minutes) Define high & low of early session 3. Reaction Logic Trade: gap fill (mean reversion) or breakout (continuation)
Estrategia Pine Script®
por AIScripts
Volatility Regime Classifier [JOAT]Volatility Regime Classifier Introduction The Volatility Regime Classifier is an overlay indicator that continuously classifies the current market environment into one of four distinct volatility regimes — TRENDING , RANGING , VOLATILE , or MIXED — and adapts its visual output accordingly. Rather than simply measuring how much volatility is present, this indicator identifies what type of volatility environment is active, a distinction that is directly relevant to strategy selection. The classification is built on three independent measures — ATR Z-score, ATR percentile, and EMA directional ratio — each capturing a different dimension of market behavior. Their combination produces a regime map that is both statistically grounded and practically actionable. --- Core Concepts 1. ATR Z-Score — Detecting Statistically Extreme Volatility The Z-score measures how far the current ATR deviates from its own historical mean, in units of standard deviation: atrZ = (atr14 - ta.sma(atr14, lookback)) / ta.stdev(atr14, lookback) A Z-score above the Volatile Z Threshold (default 2.0) means current volatility is more than two standard deviations above the recent average — a statistically uncommon spike. This is the trigger for the VOLATILE regime, indicating conditions where position sizing, stop distances, and strategy assumptions built around normal ranges may no longer apply. The Z-score is a mean-reverting measure. An extreme reading does not tell you which direction price will move. It tells you the current volatility environment is atypical relative to recent history. 2. ATR Percentile — Identifying Volatility Compression The percentile ranks current ATR linearly within its own recent range: atrPercentile = (atr14 - ta.lowest(atr14, lookback)) / (ta.highest(atr14, lookback) - ta.lowest(atr14, lookback)) * 100 A percentile below the Ranging Percentile threshold (default 35%) means ATR is near its lowest levels of the lookback window — a compression signal. This is the trigger for the RANGING regime, which historically precedes expansion but does not predict its direction or timing. It is a descriptor of the current state, not a forecast. Using percentile rather than a fixed ATR threshold makes the measure adaptive: it adjusts to the instrument's own volatility character and the current lookback window. 3. EMA Directional Ratio — Testing Movement Quality Directional quality is measured by the separation between a fast and slow EMA, expressed in ATR units: directional = math.abs(ema_fast - ema_slow) / atr14 > dirStrength When the EMA separation exceeds the Directional Strength threshold (default 1.5 ATR units), the market is showing sustained, coherent movement in one direction relative to its current volatility level. This is the trigger for the TRENDING regime. Expressing EMA separation in ATR units normalizes for volatility: a large EMA gap during a high-volatility period may be less directionally significant than the same gap during a low-volatility period. 4. Regime Classification Logic The three measures are evaluated in priority order: VOLATILE — if ATR Z-score exceeds the volatile threshold. Extreme volatility takes precedence over all other conditions. RANGING — else if ATR percentile is below the ranging threshold. Volatility compression is checked next. TRENDING — else if the EMA directional ratio is satisfied. Directional movement is confirmed if not in a spike or compression. MIXED — else. The market does not clearly fit any of the above categories: volatility is average, not directional, and not compressed. Regime transitions are confirmed on barstate.isconfirmed bars only, preventing labels and state changes from appearing on unfinished candles. 5. Adaptive Bands Each regime applies a different ATR multiplier to a central EMA band: VOLATILE: multiplier 3.0 — wide bands reflecting extreme range TRENDING: multiplier 2.0 — moderate bands supporting trend context MIXED: multiplier 1.5 — standard bands for undifferentiated conditions RANGING: multiplier 1.0 — tight bands appropriate for compressed, mean-reverting conditions upper = ema_center + baseMult * atr14 lower = ema_center - baseMult * atr14 The band envelope therefore scales automatically to the current regime, providing contextually appropriate support and resistance structure without manual adjustment. 6. Smooth Color Transitions Regime colors are smoothed by applying a 10-period EMA to each RGB channel independently. This prevents abrupt color jumps at regime boundaries and provides a visual blending effect as the market transitions between states. The smoothing period is fixed at 10 bars and is not user-configurable, as it is a presentational feature rather than an analytical one. 7. Regime Transition Labels A label is plotted at each confirmed regime change, marking the bar where the classification shifted. This creates a visual audit trail of regime history on the chart, allowing traders to review how conditions evolved across the session or swing. 8. Information Table A compact table in the top-right corner displays the current state of all key measurements: Current regime classification ATR value (absolute) ATR Z-score ATR percentile EMA trend direction (bullish/bearish based on fast vs slow EMA) Band width (upper minus lower) Directional threshold met (yes/no) Active band multiplier --- Features Four-state regime classification: TRENDING, RANGING, VOLATILE, MIXED ATR Z-score for statistical volatility spike detection ATR percentile for volatility compression identification EMA directional ratio normalized to ATR units Priority-ordered regime logic with clear precedence rules Adaptive ATR-based bands that scale multiplier per regime Smooth RGB-channel EMA color blending at regime transitions Regime transition labels at every confirmed state change Per-bar color coding reflecting the active regime Background tint per regime (high transparency, non-intrusive) Real-time information table with all underlying metrics --- Input Parameters ATR Length (default 14): Period for all ATR calculations. Shorter values make the Z-score and percentile more reactive; longer values smooth them out. Regime Lookback (default 100): The historical window used for Z-score (mean and standard deviation) and percentile (highest/lowest) calculations. Shorter lookbacks make the regime more sensitive to recent conditions; longer lookbacks require more extreme readings to trigger transitions. Volatile Z Threshold (default 2.0): ATR Z-score level required to trigger the VOLATILE regime. 2.0 corresponds to a two-standard-deviation event relative to the lookback window. Ranging Percentile (default 35%): ATR percentile below which the RANGING regime is triggered. Lower values require a tighter compression before classifying as ranging. Directional Strength (default 1.5): EMA separation threshold in ATR units required for the TRENDING regime. Higher values require a stronger, more sustained directional move. Fast EMA (default 20): Period for the fast EMA used in directional ratio and the band center. Slow EMA (default 50): Period for the slow EMA used in directional ratio. Band EMA (default 50): Period for the central EMA from which adaptive bands project. Can be set independently from the directional EMAs. --- How to Use Regime-to-strategy mapping: The four regimes map to four broad strategy postures: TRENDING: Conditions are directional. Trend-following approaches — momentum entries, trailing stops, breakout continuation — have historically performed better in this state. RANGING: Volatility is compressed. Mean-reversion approaches — fading extremes, range-bound entries — are more aligned with this environment. Be aware that compression often precedes expansion. VOLATILE: Volatility is statistically extreme. Reduce position size. Wider-than-usual stops are required to avoid being shaken out by noise. Many strategies based on normal ATR assumptions will malfunction in this state. MIXED: No strong signal. Conditions do not clearly favor trending, ranging, or risk-off postures. Waiting for a clearer regime or reducing exposure are reasonable responses. Reading the bands: The adaptive bands are not support/resistance in a traditional sense. They represent a contextually appropriate price envelope for the current regime. In ranging conditions, expect price to interact with the tight bands; in volatile conditions, the wider bands reflect the expanded true range. Using the table: The information table provides the underlying metric values at a glance. If a regime seems unexpected, check the raw Z-score, percentile, and directional values directly — this helps distinguish borderline cases from clear ones. Transition labels: Regime transition labels mark where conditions shifted on historical bars. Reviewing these labels on historical data can help calibrate whether the default thresholds suit a particular instrument and timeframe. --- Limitations All three underlying measures are based on ATR and EMA — both of which are lagging indicators. Regime classification reflects recently confirmed conditions, not instantaneous market state. The lookback window is critical to the behavior of both the Z-score and percentile. A short lookback makes the indicator reactive but prone to frequent transitions; a long lookback produces more stable regimes but may lag real condition changes. The four-state classification is a simplification of a continuous, multidimensional market reality. Real market conditions exist on a spectrum; the regime labels are useful approximations, not rigid categories. On instruments with low liquidity, thin volume, or irregular trading sessions (certain futures contracts, crypto on illiquid exchanges, small-cap equities), ATR behavior may be distorted by gaps or thin-market artifacts, producing unreliable Z-score and percentile readings. Regime classification performs best when applied within a single session or consistent trading context. Applying it across major session boundaries (e.g., Asia open to New York close on forex) without adjustment may produce spurious transitions driven by liquidity changes rather than structural market behavior. This indicator does not predict regime changes. It classifies the current regime after it has formed. The RANGING regime, for example, does not predict that expansion will occur — it describes that compression is currently present. No indicator, including this one, predicts future price direction or magnitude. Regime classification informs which type of strategy is currently better aligned with conditions — it does not guarantee that any strategy will be profitable. --- Originality Statement Many volatility indicators answer the question "how volatile is the market?" — ATR, Bollinger Band width, historical volatility, and similar tools all provide variants of this measurement. This indicator answers a different question: "what type of volatility environment is the market currently in?" The distinction matters because different volatility types require different responses. A spike in volatility during a strong trend calls for different handling than a spike caused by a news event in a ranging market. Compression before a directional breakout is a different environment than compression within an established range. The MIXED regime acknowledges that not all market conditions are clearly classifiable — a honesty that most binary volatility tools omit. Three independent measures are combined by design, not convenience: The Z-score is statistical — it grounds the VOLATILE trigger in the instrument's own distributional history rather than an arbitrary fixed threshold. The percentile is rank-based and linear — it identifies compression relative to the full range of recent ATR values without being sensitive to individual outliers. The EMA directional ratio tests movement quality in ATR-normalized units — a common EMA crossover system would classify direction identically regardless of whether price is moving coherently or chopping. Normalizing to ATR removes that ambiguity. The adaptive band multiplier is a direct mechanical expression of the regime classification — not a cosmetic addition. It means the envelope drawn on the chart is always scaled to the current environment, rather than applying a single fixed multiplier that is simultaneously too tight for volatile conditions and too wide for ranging ones. --- Disclaimer This indicator is provided for informational and educational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Regime classification describes current market conditions based on historical data — it does not predict future conditions, price direction, or strategy outcomes. All trading involves risk. You are solely responsible for your own trading decisions. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
ATR Stop Loss levelsATR Dynamic Stop Loss BASED ON ATR Srop-Loss by Captaincoinflip INDICATOR This indicator plots two reference points per bar — one above and one below price — representing the zone where normal market noise can reach based on current volatility. Its purpose is to help you place stops that won't get hunted by natural price movement, only by moves with real directional conviction. Hope you find it helpful. - How it works The calculation is based on the ATR (Average True Range), developed by J. Welles Wilder in 1978. ATR measures the real average range of each bar including session gaps, making it a more accurate volatility reference than a simple high-low range. The formula is straightforward: Upper point = base price + (ATR × multiplier) Lower point = base price − (ATR × multiplier) The higher the volatility, the wider the points. The calmer the market, the tighter they sit. - Settings ATR Period — number of bars averaged to calculate the ATR. 14 is Wilder's standard. Lower values react faster to recent volatility changes; higher values give a more stable reading. Multiplier — how many ATRs of distance are projected from the base price. A value of 1.5 means the points sit 1.5 times the ATR away from price. Adjust to your style: scalping (1.0–1.5), intraday (1.5–2.0), swing (2.0–3.0). Base price source — the reference point from which the SL levels are measured: High/Low: upper point from the bar's high, lower from the low. The most natural option for intraday trading. HL2: average of high and low — more centered and stable. HLC3: typical price (high + low + close) / 3. A classic technical analysis reference. OHLC4: average of all four bar prices. The smoothest option. Close: both points from the closing price. Open: both points from the opening price. Useful for gap context. ATR Smoothing — how the True Range is averaged: No smoothing: raw True Range of each bar. Most reactive. RMA (Wilder): the original method. Long memory, stable. Recommended. SMA: simple average. Equal weight to all bars. EMA: exponential. More reactive to recent volatility. WMA: linearly weighted. More weight to recent bars. Visible bars — how many recent bars display the points. Default is 5. The rest of the chart stays clean. Color and size — full visual customization of the dots: Tiny, Small, Normal or Large. - Technical note When hiding and re-showing the indicator, or when changing timeframes, the points recalculate correctly. This is standard TradingView behavior when the chart reloads. This script is open source and released to the public domain — use it, modify it, build on it, do whatever you want with it. And remember: you are the only one responsible for the results you get. LOVE AND PROFITS
Indicador Pine Script®
por ivandelpino
Smart Trend [Zofesu]Smart Trend is an ATR-based trend following indicator extended with two original filtering layers not present in standard Supertrend implementations: a Hull Moving Average macro trend filter and a Volume Percentile Rank confirmation system. The ATR trailing stop concept is well established in technical analysis. The original additions in this script are the dual-filter architecture and how the three layers interact to produce signals only when all conditions align. ───────────────────────────────────── 01 — What is Smart Trend? ───────────────────────────────────── Smart Trend plots a dynamic trend line based on ATR volatility. The line trails price and flips direction when price breaks through it with volume confirmation. Two additional filters gate the signals — ensuring entries align with both macro trend direction and institutional volume participation. The result is fewer but higher-quality signals compared to a standard ATR trailing stop. ───────────────────────────────────── 02 — Three-Layer Architecture ───────────────────────────────────── Layer 1 — ATR Trend Engine (Core) The trend line is calculated using ATR × multiplier applied to high/low. It trails in the direction of the trend and flips only when price closes on the opposite side with confirmation. Upper band = high - (ATR × multiplier) — support in uptrend Lower band = low + (ATR × multiplier) — resistance in downtrend The trend line locks at the highest support or lowest resistance seen during the trend — it only moves in the direction of the trend, never against it. Layer 2 — HMA Macro Filter (Original) A Hull Moving Average with a long smoothing period (default 500) acts as a macro trend filter. When enabled, signals are only shown when the ATR trend direction agrees with the HMA macro direction. Conflicting signals (ATR bullish but price below HMA) are shown in gray — indicating low-confidence state. This filter is the key difference from a standard Supertrend. It eliminates counter-trend entries in strongly trending markets. Layer 3 — Volume Percentile Rank (Original) A trend flip requires not just a price break but also a volume confirmation. Volume is ranked as a percentile over 500 bars. A flip only occurs if current volume rank exceeds the configured threshold (default 40th percentile). This prevents trend flips on low-volume, potentially false breakouts. ───────────────────────────────────── 03 — Settings ───────────────────────────────────── ATR Period — default 25 Lookback for ATR calculation. Higher = smoother trend line, less reactive. Volatility Multiplier — default 3.2 Controls band width. Higher = fewer flips, stays in trend longer. Lower = more reactive, more signals. Enable Main Trend Filter — default on When on, signals require HMA macro trend agreement. When off, raw ATR signals only. Main Trend Smoothness (HMA) — default 500 HMA length for macro trend. Higher = slower macro trend, fewer conflicting signals filtered out. Show Background Bias Tint — default on Green background = macro trend bullish. Red = macro trend bearish. Gray = conflicting state. Require Volume Confirmation — default on When on, trend flips require volume rank above threshold. Volume Percentile Rank — default 40 Minimum volume percentile required for a trend flip. 40 = volume must be in top 60% of last 500 bars. ───────────────────────────────────── 04 — Signal Colors ───────────────────────────────────── 🟢 Teal line — ATR trend bullish, confirmed by HMA filter 🔴 Red line — ATR trend bearish, confirmed by HMA filter ⚫ Gray line — ATR trend direction conflicts with HMA macro trend — low confidence, avoid trading BUY label — trend flipped bullish with all filters aligned SELL label — trend flipped bearish with all filters aligned ───────────────────────────────────── 05 — How To Use ───────────────────────────────────── Step 1 — Check background color Green tint = macro trend bullish, look for longs only. Red tint = macro trend bearish, look for shorts only. Step 2 — Wait for trend line flip BUY label = trend flipped to bullish with volume confirmation. SELL label = trend flipped to bearish with volume confirmation. Step 3 — Check line color Teal or Red = high confidence signal (all filters aligned). Gray = skip — ATR and HMA disagree. Step 4 — Alerts Two alert conditions are pre-configured: Smart Trend: BUY Signal Smart Trend: SELL Signal ───────────────────────────────────── 06 — Best Timeframes ───────────────────────────────────── H1, H4 and D1 produce the most reliable signals with default settings. On lower timeframes consider reducing the ATR Period to 14 and Volume Percentile to 30. On higher timeframes (W1) consider increasing the ATR Period to 34+. Works on all asset classes: Indices, Forex, Gold, Oil, Crypto.
Indicador Pine Script®
por Zofesu
[ A L P H A X ] Impulse Bands - Adaptive Trend EngineAlphaX Impulse Bands — ATR-Normalized Adaptive Trend Engine, Impulse Freshness System, Multi-Confluence Confidence Scoring & Smart Retest Detection AlphaX Impulse Bands is a professional-grade adaptive trend following system built on a proprietary ATR-normalized impulse detection engine that continuously measures the strength, direction, and freshness of every price move. It delivers dynamic bands that physically breathe with volatility — tightening during fresh, high-conviction impulses and expanding during stale, uncertain market conditions. Three visual layers — the Trend Cloud, entry labels, and precision retest lines — work together with a multi-factor confidence scoring system and a triple-timeframe Williams %R confirmation gate to produce only the highest-quality signals. Designed for active traders across crypto, forex, indices, and commodities on any timeframe. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔬 The Impulse Engine — How It Works At the core of AlphaX Impulse Bands is the ATR-Normalized Impulse Engine — a proprietary system that measures momentum in a way that is consistent and comparable across all instruments and timeframes. Most adaptive band systems measure impulse by dividing price movement against MAD (Mean Absolute Deviation), which produces readings that vary wildly between low-volatility forex and high-volatility crypto. AlphaX Impulse Bands solves this by normalizing against ATR (Average True Range) instead — the same unit every professional volatility model uses. The result is an impulse score that means the same thing whether you are trading XAUUSD on M1 or BTC on H4. How the impulse is calculated: Raw Impulse — measures how far price has moved over the Impulse Lookback period, divided by ATR. If this movement exceeds the threshold (1.0×ATR), a new impulse event is registered. Impulse Direction — records whether the detected impulse is bullish or bearish, held in state until the next impulse event fires. Impulse Decay — once registered, the impulse strength decays each bar at the configured Decay Rate. This creates a natural fade — recent moves carry full weight, older moves gradually lose influence. Impulse Freshness — a normalized 0–100% score derived from current impulse strength. Fresh = high confidence. Stale = caution. Impulse Momentum — the rate of change of freshness across the last 3 bars. Used by the confidence scoring system to distinguish an impulse that is building from one that has already peaked and is fading. This multi-layer approach means the indicator is not just reacting to where price is — it is continuously answering the question: how energetic is the current move, and is that energy rising or falling? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📐 The Adaptive Bands — Breathing With Volatility The bands are not fixed-width channels. They are living boundaries that respond to both market volatility and impulse freshness simultaneously. Band structure: Basis EMA — a trend-length EMA of close, forming the center reference line plotted as a subtle gray line MAD (Mean Absolute Deviation) — the volatility engine. Unlike ATR, MAD measures the average deviation of closes from their recent mean — capturing the texture of price noise directly Band Multiplier — dynamically calculated each bar as a blend between Band Min and Band Max, weighted by current Impulse Freshness The key relationship: When a fresh impulse fires → Freshness = high → Multiplier moves toward Band Min → Bands tighten — price is in a high-conviction directional move, the bands hug it closely As the impulse decays → Freshness falls → Multiplier moves toward Band Max → Bands expand — uncertainty is rising, the bands widen to reflect the broader range of possible outcomes A very stale market with no active impulse → Freshness near zero → Full Band Max width → Maximum caution zone This means the bands are effectively a real-time confidence visualizer . A trader glancing at the chart immediately understands: tight bands = strong move in progress, wide bands = market searching for direction. Band Squeeze Detection: The dashboard continuously displays band width as a percentage of price. When this drops below 2%, the dashboard flags SQUEEZE — a powerful pre-breakout warning that a large directional move is loading. Wider than 7% is flagged as WIDE — indicating elevated uncertainty or a post-impulse cool-down. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ☁ The Trend Cloud The Trend Cloud is a gradient-filled area plotted around price that provides instant visual identification of trend direction and structural support/resistance. How the cloud is constructed: Cloud Outer — the outer boundary of the cloud, positioned at the lower band during a bull trend and the upper band during a bear trend Cloud Inner — the inner boundary, sitting 45% of MAD inside the outer boundary — this inner line is the key level the Retest Engine watches Cloud Fill — gradient-shaded between inner and outer: yellow-green for bullish trend, red for bearish trend, opacity-graded for visual depth Reading the cloud: Price riding above an expanding yellow-green cloud → strong bull trend, cloud is acting as dynamic support Price riding below an expanding red cloud → strong bear trend, cloud is acting as dynamic resistance Cloud thin or collapsed → no meaningful impulse active, potential consolidation or trend transition zone Cloud color switching rapidly → choppy market, reduce position size or stand aside ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Signal System — Three Layers AlphaX Impulse Bands produces three distinct signal types, each serving a specific role in the trade lifecycle: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1 ─ Entry Labels ( ▲ S/A/B % / ▼ S/A/B % ) Entry labels fire when the indicator detects a confirmed trend flip — price breaking through the outer band with sufficient impulse and WPR confirmation. Each label carries two pieces of information: Tier — S, A, or B. Determined by the confidence score at signal time (S = 70%+, A = 55–69%, B = 25–54%) Confidence % — the raw score from the confidence engine, printed directly on the label Label colors reflect tier quality: S-Tier — brightest yellow-green (bull) or bright red (bear) — highest conviction setup A-Tier — primary yellow-green or primary red — strong setup B-Tier — dimmer shades — valid but lower conviction, consider smaller size A Signal Cooldown prevents multiple labels firing on the same trend flip during fast, multi-bar breakouts. Only signals that pass the minimum confidence threshold, the WPR confirmation gate, and the cooldown check are displayed. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2 ─ Retest Lines ( ✦ ) After a trend flip is confirmed and the Signal Buffer period has passed, the Retest Engine activates. It watches for price to pull back into the Cloud Inner boundary — the institutional re-entry zone where trends historically find continuation. When a valid retest is detected: A ✦ diamond marker appears at the retest bar — yellow-green for bull retests, red for bear retests A horizontal retest line is drawn from the retest bar extending forward by the configured number of bars — giving you a clear price level to watch for re-entry or stop placement A Retest Cooldown prevents line spam — minimum 55 bars between consecutive retest lines by default Retest signals represent the continuation trade opportunity — where traders who missed the initial flip can enter at a structurally superior price, with the cloud now acting as confirmed support or resistance behind them. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 3 ─ Exit Markers ( ✕ ) Exit markers appear when one of two conditions is met: Trend Flip Exit — the opposite trend signal fires, indicating the trend has definitively reversed WPR Exhaustion Exit — the Fast WPR crosses through the configured exit level (default: above -15 for longs, below -85 for shorts), indicating momentum exhaustion in the direction of the trade. A minimum bars-in-trade requirement prevents premature WPR exits on the opening bars of a position. Exit markers are not necessarily a signal that the trend is over. They indicate that the current momentum leg is likely complete . Use them to: Take partial or full profit at the exhaustion point Tighten stop loss to protect gains Wait for the next ✦ retest signal before re-entering if the trend remains intact ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🧠 Multi-Confluence Confidence Scoring Every entry signal is evaluated in real time by the AlphaX Confidence Engine — a multi-factor scoring system that produces a score from 0 to 100 and assigns it a tier. Only signals meeting your configured minimum threshold are displayed. Bull Confidence Factors: Trend Flip Freshness (up to 25 points) Maximum score awarded only when the signal fires on the exact bar of the trend flip — confirming you are at the very beginning of the move, not chasing it Impulse Freshness (up to 20 points) The higher the current freshness reading, the more points awarded. A fully fresh impulse (80%+) scores 20 points; a stale impulse (below 20%) scores zero Impulse Direction Alignment (up to 10 points) Full points when the internal impulse direction agrees with the signal direction. Zero when it conflicts — a powerful cross-check that catches whipsaw moves where price crossed the band but momentum is still against you WPR Oversold Depth (up to 15 points) How deeply the Fast WPR penetrated oversold territory. Deeper = higher spring-loaded reversal potential = more points. WPR below -95 scores the maximum; WPR above -80 scores zero WPR Cross Timing (up to 10 points) A confirmed WPR cross back above the oversold level scores 10 points. Fast upward velocity scores 7. General bullish recovery scores 4 WPR Multi-Timeframe (up to 8 points) Triple WPR convergence (all three timeframes in oversold) scores 8 points. Medium WPR alone in oversold scores 5 WPR Slow Alignment (up to 5 points) When the Slow WPR confirms the macro trend direction, additional points are awarded Candle Quality (up to 5 points) A bullish close with body ratio above 50% scores 5 points. Any bullish close scores 2. Bearish closes score zero Volume Surge (up to 5 points) Volume 1.5× or more above the 20-bar SMA scores 5 points. Volume above the SMA scores 2 Impulse Momentum (up to 5 points) When impulse strength is actively building (positive momentum) additional points are awarded — distinguishing a move that is accelerating from one that is about to stall Penalty Deductions: Slow WPR in extreme overbought territory → -8 points (macro trend fighting the signal) Fast WPR still in overbought zone → -5 points Impulse nearly completely stale (freshness below 10%) → -10 points Extreme WPR velocity (likely spike or wick move) → -5 points The bear confidence scoring system mirrors this structure in reverse, with all conditions flipped for short setups. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📡 Triple WPR Confirmation Gate All signals pass through the WPR Confirmation Gate before being displayed. This is a separate binary filter — independent of the confidence score — that blocks signals when the oscillator context fundamentally disagrees with the signal direction. The gate requires at least one of the following to be true before a bull signal can fire: Fast WPR is in oversold territory Fast WPR has just crossed back above the oversold level Fast WPR is in a bullish recovery pattern (rising for 2+ bars) WPR Slow and Medium are both in the bullish alignment zone The same logic applies in reverse for bear signals. This gate can be toggled off in settings for traders who want band crossings alone to trigger signals, but it is on by default — and is one of the primary reasons AlphaX Impulse Bands produces significantly fewer false signals than typical adaptive band systems. Three WPR timeframes run simultaneously and feed both the gate and the confidence scoring: WPR Fast (8) — the primary signal oscillator, reacts immediately to price action WPR Medium (21) — the intermediate trend filter, confirms the broader momentum context WPR Slow (55) — the macro trend anchor, determines whether the overall market structure supports the signal Triple WPR Convergence — when all three timeframes simultaneously reach extreme levels — is flagged on the dashboard as ALL OVERSOLD or ALL OVERBOUGHT and awarded maximum bonus points in the confidence engine. This is the highest-quality WPR condition the system can detect. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 Live Dashboard The real-time dashboard displays the complete internal state of the indicator across five sections, updated on every bar close. IMPULSE ENGINE Impulse Strength — qualitative label (EXTREME / STRONG / MODERATE / WEAK / FADING) based on the raw impulse value Freshness — current freshness percentage with qualitative state (FRESH / ACTIVE / FADING / STALE). Highlighted in yellow-green when above 70% — the highest-confidence zone Impulse Direction — the direction of the most recent registered impulse (BULLISH / BEARISH) Band Width — current band width as a percentage of price, with SQUEEZE or WIDE flags when applicable OSCILLATORS WPR Fast / Med / Slow — current values with zone labels (OB / OS / MID for fast and medium, BULL / BEAR / NEUT for slow) WPR Velocity — the rate of change of Fast WPR (FAST UP / RISING / FLAT / FALLING / FAST DOWN) — critical for timing entries within a move WPR Alignment — whether Slow and Medium WPR are in the bull zone, bear zone, or neutral Triple WPR — flags ALL OVERSOLD or ALL OVERBOUGHT when all three timeframes converge, with background color highlight TREND STATE Trend — current trend direction (BULLISH / BEARISH / UNDEFINED) with background color highlight Trend Bars — the number of consecutive bars the current trend direction has been active Price vs EMA — how far the current close is from the Basis EMA as a percentage, with directional color coding CONFIDENCE Bull Conf / Bear Conf — current confidence scores with tier labels (S-TIER / A-TIER / B-TIER / BELOW MIN) Volume — current volume state (SPIKE / HIGH / NORMAL / DRY) with the volume ratio multiplier TRADE STATUS Position — current tracked position (LONG / SHORT / FLAT) with background highlight Entry Price — the close price at which the active signal fired Open P&L — live unrealized profit and loss in both price and percentage terms, color-coded green/red WPR Exit Watch — warns ⚠ NEAR BULL EXIT or ⚠ NEAR BEAR EXIT when the Fast WPR is approaching the configured exhaustion level — giving you advance notice before the exit trigger fires ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Identifying Choppy / Low-Quality Market Conditions Knowing when not to trade is just as valuable as knowing when to enter. AlphaX Impulse Bands gives you multiple clear visual and dashboard cues that the market is in a low-quality state: Visual cues to stand aside: Bands are very wide and expanding — the dashboard Band Width reading is high and climbing. No active impulse is driving direction — the market is searching, not trending Trend Cloud is thin or collapsing — when the cloud inner and outer converge, there is no structural trend backing any move. Wait for the cloud to separate and take on clear color Freshness dashboard shows STALE — the last impulse has fully decayed and no new one has fired. Any price movement is low-energy and likely to reverse or stall WPR Alignment shows NEUTRAL — neither the slow nor medium WPR are confirming a directional bias. Signals firing in this environment carry the lowest reliability Rapid trend color switching — if candles are alternating rapidly between yellow-green and red, the system is detecting micro-trend flips. The cooldown will block most signals, but the underlying message is clear: this is a range, not a trend No entry labels appearing despite trend flips — when the bands are crossing but no labels appear, the confidence engine and WPR gate are filtering them out. This is the system explicitly telling you: these setups do not meet the quality threshold What to do: Do not force entries — wait for a fresh impulse to register (Freshness dashboard turns FRESH with yellow-green highlight) Wait for Band Width to compress into SQUEEZE territory — this signals energy is coiling for a directional move Look for Triple WPR convergence on the dashboard — ALL OVERSOLD or ALL OVERBOUGHT are the highest-conviction pre-signal states After a trend flip label, wait for the first ✦ retest signal before committing capital — the retest confirms the trend has real momentum behind it and is not a false start ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 How to Trade with AlphaX Impulse Bands — Step by Step Step 1 — Read the Dashboard Check Freshness: is the market FRESH or STALE? Check Band Width: is it squeezing or expanding? Check WPR Alignment: do the oscillators agree on direction? If all three are neutral or negative → do not trade. Wait for setup conditions to develop. Step 2 — Wait for a Trend Flip Label A ▲ label below the bar (bull) or ▼ label above the bar (bear) sets your directional bias Read the tier and confidence printed on the label. S-Tier is the strongest; B-Tier warrants smaller size Do not enter directly on the label — the optimal entry comes next Step 3 — Enter on Retest ( ✦ ) After the Signal Buffer period passes, watch for price to pull back into the Cloud Inner zone When a ✦ diamond appears, this is the structured re-entry — a continuation setup at a technically superior price with the cloud now acting as confirmed dynamic support or resistance behind you Place your stop loss beyond the retest level or just outside the opposite cloud boundary Step 4 — Monitor with the Dashboard Watch the WPR Exit Watch row — when it flashes ⚠ NEAR EXIT, begin preparing your exit Watch Freshness — if it drops to FADING or STALE during your trade, the momentum behind the move is diminishing Additional ✦ retest signals during the same trend are opportunities to add to your position or re-enter after a partial take-profit Step 5 — Exit on ✕ Mark A gray ✕ marker indicates either a confirmed trend flip or WPR exhaustion Take partial or full profit If no opposing trend label has appeared, wait for the next ✦ retest to confirm the trend is continuing before re-entering Step 6 — Trend Ends An opposing trend label (e.g., a ▼ label after you were long) confirms the trend has reversed Close any remaining position from the prior trend The new label resets the cycle — the dashboard Trade Status updates to the new position, and the Retest Engine resets its buffer for the new direction ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ Key Features 🔬 ATR-normalized impulse engine — consistent behavior across all instruments and timeframes, no manual recalibration needed 📈 Dual-layer volatility model — MAD for band texture, ATR for impulse normalization, combined into a single adaptive system 🌊 Freshness decay system — impulse strength and confidence degrade naturally over time, preventing stale signals from carrying full weight ☁ Adaptive Trend Cloud — breathes with volatility, tightens during fresh impulses, expands during uncertainty 📡 Triple WPR confirmation gate — Fast (8), Medium (21), and Slow (55) Williams %R must agree before signals fire 🏷 Tiered entry labels (S / A / B) with live confidence % — know the quality of every signal at a glance ✦ Intelligent retest engine — configurable buffer, cooldown, line extension, and width. Draws only meaningful retest levels, never spams 🧠 10-factor confidence scoring engine — freshness, impulse direction, WPR depth, timing, multi-timeframe, candle quality, volume, momentum, and penalty deductions 📊 26-row live dashboard — Impulse Engine, Oscillators, Trend State, Confidence, and Trade Status sections updated in real time 💹 Live Open P&L tracking — entry price and unrealized P&L displayed directly on the dashboard in price and percentage ⚠ WPR Exit Watch — advance warning before exhaustion exits fire, so you are never caught off guard 🎨 Cohesive dual-tone color theme — yellow-green for all bullish elements, red for all bearish elements, gray for neutral and exits 🔔 15 alert conditions — tiered entries, combined entries, exits, retests, Triple WPR states, freshness fade, and trend flips ⚙ Fully configurable — all periods, thresholds, multipliers, display toggles, colors, and filter modes are adjustable from the settings panel ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙ Settings Reference Core Engine Trend Length — EMA period for the basis line and cloud anchor (default: 19) Impulse Lookback — bars over which the raw impulse move is measured (default: 5). Lower = more reactive Impulse Decay — per-bar decay multiplier for impulse freshness (default: 0.97). Higher = impulses stay fresh longer MAD Length — lookback for Mean Absolute Deviation calculation, controls band volatility sensitivity (default: 20) Adaptive Bands Band Min (Fresh Impulse) — tightest band multiplier applied during a fully fresh impulse (default: 1.5) Band Max (Stale Impulse) — widest band multiplier applied when impulse has fully decayed (default: 2.2) ATR Period — lookback for ATR-based impulse normalization (default: 14) WPR Context WPR Fast / Medium / Slow — three independent Williams %R periods (defaults: 8 / 21 / 55) WPR Oversold / Overbought — extreme zone thresholds used by the gate and confidence engine (defaults: -82 / -18) Signal Filters Min Confidence % — minimum score required for a signal to be displayed (default: 25%) Signal Cooldown — minimum bars between consecutive entry labels (default: 3) Require Volume Confirm — when enabled, signals are blocked if current volume is below the Min Volume Ratio threshold Min Volume Ratio — minimum volume relative to 20-bar average required when volume filter is active (default: 0.7×) Require WPR Confirmation — when enabled, signals only fire when WPR agrees with the trend direction. On by default — this is the primary noise gate Retest Engine Show Retest Levels — toggle retest lines and ✦ markers on or off Signal Buffer — bars to wait after a trend flip before the retest engine activates (default: 10) Retest Cooldown — minimum bars between consecutive retest line draws (default: 55) Retest Line Width — thickness of the horizontal retest lines (default: 2) Retest Line Extend — how many bars forward the retest line projects (default: 60) Exits Exit on Trend Flip — when enabled, an opposing signal triggers an immediate exit marker Exit on WPR Exhaustion — when enabled, WPR crossing the exit level triggers an exit marker WPR Exit Bull (above) — Fast WPR level above which a long exit fires (default: -15) WPR Exit Bear (below) — Fast WPR level below which a short exit fires (default: -85) Min Bars Before Exit — minimum bars in trade before a WPR exhaustion exit can trigger (default: 3) Display Show Trend Cloud / Show Outer Bands / Color Bars / Show Entry Labels / Show Freshness Indicator — individually toggle each visual layer Label Size — Tiny / Small / Normal Dashboard Show Dashboard — toggle the entire dashboard panel Position — Top Left / Top Right / Bottom Left / Bottom Right Dashboard Text — Tiny / Small / Normal Colors Bull Primary / Bright / Dim — the yellow-green family for all bullish elements Bear Primary / Bright / Dim — the red family for all bearish elements Neutral / Neutral Light — gray shades for exits, inactive states, and neutral conditions Text Light / Dashboard BG — dashboard typography and background colors ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔔 Alert Conditions (15 total) Tiered Entry Alerts S-Tier Bull Impulse — bull signal with confidence 70%+ A-Tier Bull Impulse — bull signal with confidence 55–69% B-Tier Bull Impulse — bull signal with confidence 35–54% S-Tier Bear Impulse — bear signal with confidence 70%+ A-Tier Bear Impulse — bear signal with confidence 55–69% B-Tier Bear Impulse — bear signal with confidence 35–54% Combined Entry Alerts Any Bull Impulse — any bull signal regardless of tier Any Bear Impulse — any bear signal regardless of tier Any Impulse Signal — any signal in either direction Exit Alerts Bull Exit — long position exit triggered Bear Exit — short position exit triggered Any Exit — exit in either direction Retest Alerts Bull Retest Level — a bullish retest level has been drawn Bear Retest Level — a bearish retest level has been drawn Any Retest — retest in either direction Special State Alerts Triple WPR Oversold — all three WPR timeframes simultaneously in oversold territory Triple WPR Overbought — all three WPR timeframes simultaneously in overbought territory Impulse Freshness Fading — freshness drops below 50%, signaling momentum decay Trend Flip — a trend direction change has been detected All alert messages include {{ticker}} and {{interval}} placeholders and are formatted for clean webhook integration. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 Recommended Settings by Instrument & Timeframe The default configuration is optimized for XAUUSD and major forex pairs on M1–M15 : Confidence threshold at 25% captures valid setups while filtering genuine noise at fast timeframes WPR Confirmation Gate on by default — the primary protection against choppy market signals Decay Rate at 0.97 — impulses fade over approximately 30 bars, suitable for intraday momentum moves Band Min/Max at 1.5/2.2 — calibrated for gold and forex intraday volatility profiles For other instruments or timeframes, adjust: Higher timeframes (H1, H4, Daily) — increase Trend Length to 25–35, increase Confidence to 35–50%, increase Retest Cooldown to 100–150 Crypto (BTC, ETH) — increase Band Max to 2.8–3.5 to accommodate wider swings, increase ATR Period to 20 Indices (NAS100, US30, SPX500) — use defaults or slightly increase Impulse Lookback to 7–8 for smoother detection More signals — reduce Min Confidence %, disable Require WPR Confirmation, reduce Cooldown Fewer, cleaner signals — increase Min Confidence % to 40–55%, increase Signal Cooldown to 5–10, reduce Band Min to tighten the entry zone ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 👥 Who This Is For 📉 Trend traders and momentum followers — the adaptive band and freshness system is built specifically for riding directional moves with precision 🥇 Gold (XAUUSD) and forex scalpers — default settings tuned for intraday volatility on fast-moving instruments 📊 Index and crypto traders — the ATR normalization ensures the system adapts without manual recalibration across instruments 🧠 Systematic traders — the confidence scoring system provides a quantitative signal quality metric, not just visual arrows 📈 Traders who value clean charts — no indicator soup, no overlapping clutter. Every visual element serves a specific purpose ⚠ Traders who struggle with overtrading — the confidence filters, WPR gate, cooldown system, and freshness tracking physically prevent low-quality setups from appearing on the chart 🔄 Pullback traders — the retest engine was specifically designed to surface structured continuation entries within confirmed trends, not just initial breakout signals ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📝 Notes All signals are confirmed on bar close — the indicator is non-repainting by design The ATR normalization means the impulse threshold (1.0×ATR) is instrument-agnostic — no adjustment needed when switching between gold, forex, crypto, or indices Maximum 500 labels and 500 lines are used — on very low timeframes with extended chart history, the oldest labels and retest lines may be automatically removed by TradingView's rendering limits The Band Width squeeze detection in the dashboard is a leading indicator of volatility expansion — SQUEEZE conditions frequently precede the strongest impulse moves WPR Velocity displayed in the dashboard is particularly useful for timing exits within a move — FAST UP or FAST DOWN readings often precede exhaustion reversals The Trade Status section tracks position direction from signal to exit within a single chart session — it does not connect to your broker or brokerage account ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠ Disclaimer This indicator is a technical analysis and visualization tool intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. All signals are generated from historical and real-time price data using mathematical calculations — their accuracy or profitability is not guaranteed. Past performance of any signal type does not guarantee future results. Always conduct your own analysis, use proper risk management, and consult a licensed financial advisor before making any trading decisions. The author accepts no responsibility for any losses incurred from the use of this indicator. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Built for traders who need to know not just where the market is going — but how much energy is behind the move.
Indicador Pine Script®
por AlphaX-Trade
2
Cheatcode ATR GridOverview This indicator projects a dynamic ATR-based price grid onto the chart. It calculates Average True Range from the visible bar range rather than a fixed lookback, so the grid adapts naturally as you zoom in and out. The anchor price is quantized to the nearest "snap unit," which eliminates constant micro-repositioning and keeps the grid stable while still following meaningful price moves. How It Works The indicator maintains a rolling buffer of True Range values (up to 500 bars). On each new bar, it slices only the bars currently visible on screen and averages their True Range values to produce a viewport-aware ATR. The anchor price is then rounded to the nearest multiple of Snap Boundary × ATR, and grid lines are projected above and below at intervals of ATR Step Multiplier × ATR. An ATR arrow annotation is drawn to the right of price, spanning exactly one grid step, with its current value labeled — so the size of each band is always visible at a glance. Inputs Grid Levels — Number of ATR bands above and below the anchor (1–10). Default: 3. ATR Step Multiplier — Spacing between bands as a multiple of ATR. Default: 1.0. Snap Boundary (ATR×) — How large a price move must be before the grid re-anchors. Lower values = more reactive; higher values = more stable. Default: 1.0. Lock to Confirmed Close — When enabled, both the anchor price and ATR update only on confirmed closed bars. The live candle is excluded entirely, making the grid completely static until the next bar opens. Default: off. Show Anchor Line — Toggle visibility of the center anchor line. Default: on. Line Color / Width / Style — Full control over the visual appearance of all grid lines. Use Cases Identifying potential reaction zones based on ATR-proportional spacing Structuring take-profit or stop-loss targets at consistent volatility intervals Spotting compression or expansion by observing price behavior relative to band width Scalping or swing setups where quantized price levels add context to entries Notes Works on all timeframes and all instruments All drawings are rendered exclusively on the last bar for performance efficiency The viewport ATR updates in real time as you pan or zoom the chart The indicator is overlay-only and does not repaint confirmed levels when "Lock to Confirmed Close" is enabled
Indicador Pine Script®
por CognitiveAlpha
AG Pro ATR Envelope Breakout Quality [AGPro Series]AG Pro ATR Envelope Breakout Quality Overview / What it does AG Pro ATR Envelope Breakout Quality is a volatility-aware breakout framework built around a dynamic ATR envelope rather than a static horizontal level, fixed box, or session-defined range. The script tracks when price closes outside an ATR-based outer band, then evaluates whether that move shows enough quality to be treated as a meaningful breakout instead of a weak expansion, short-lived overshoot, or low-conviction push. The core logic is centered on three linked questions. First, did price achieve a valid close outside the active envelope? Second, was that move supported by enough momentum and relative participation to deserve attention? Third, what happened when price came back toward the broken area? This progression allows the script to move beyond a simple breakout marker and present a more structured breakout-quality workflow. Because the reference structure is dynamic, the script adapts to changing market conditions instead of forcing all setups into a fixed box logic. In periods of contraction, the envelope tightens and makes outside acceptance more meaningful. In periods of expansion, the envelope widens and helps separate true continuation pressure from ordinary volatility noise. This makes the tool especially useful for traders who want to judge whether an expansion is merely visible or genuinely tradable. The visual design is intentionally clean and overlay-first. The envelope defines the active volatility shell, breakout markers show where price escapes that shell, the throwback zone highlights the key acceptance pocket after the move, and the optional target line provides a simple expansion objective. A compact panel then summarizes the current state without taking over the chart. The result is a script that aims to look premium while still keeping the main story readable in a publish screenshot. Unique Edge The main distinction of this script is that it does not evaluate breakout quality from a static support/resistance line, a consolidation rectangle, a Donchian extreme, or an opening range boundary. It evaluates breakout quality from a moving ATR envelope. That difference is not cosmetic. It changes the entire logic of what counts as a breakout, how follow-through is judged, and how retests are interpreted. In several classic breakout tools, the market is asked to escape a fixed historical structure. Here, the market is asked to achieve acceptance outside a live volatility shell. This creates a different analytical lens. A move that looks impressive relative to a flat level may not be meaningful relative to a volatility-adjusted envelope. On the other hand, a clean close outside an adaptive outer band can reveal expansion quality that a simple line break would miss. This also separates the script from our other AG Pro tools. It is not a consolidation breakout evaluator, because its reference structure is not a box. It is not a Donchian breakout tool, because it is not based on period highs and lows. It is not an opening-range breakout model, because it is not session-box dependent. It is not a standard break-retest script, because the retest here happens around a dynamic envelope acceptance area rather than around a static horizontal level. That distinction matters both analytically and visually. Analytically, the script focuses on volatility-adjusted breakout acceptance. Visually, it produces a different type of chart story: an active envelope, a breakout event, a throwback pocket, and a projected path. This gives the script its own place inside the AG Pro catalog rather than making it feel like a variation of an existing breakout family member. Methodology The script begins with an ATR-based envelope built around a moving basis. This creates an adaptive upper and lower band that expand or contract with market volatility. A bullish breakout candidate appears when price closes outside the upper band. A bearish breakout candidate appears when price closes outside the lower band. Wick-only excursions are not enough. The script is designed to care about acceptance, not mere contact. Once an outside close is detected, the script evaluates breakout quality through a compact scoring framework. Momentum contribution helps measure whether the breakout candle shows real displacement or just a hesitant push. Volume contribution helps detect whether the breakout is supported by stronger-than-usual participation or whether it lacks confirmation. The combined result becomes the displayed breakout-quality score. After the initial breakout, the script monitors the first return toward the broken band area. This is where the throwback logic becomes important. Instead of treating every pullback the same way, the script classifies what happens around the envelope area and updates the state accordingly. A successful hold suggests that the market accepted the breakout. A failure suggests that the move lost structural quality after the initial expansion. An optional target line can be used to project a simple post-breakout objective. This is not presented as a promise of outcome. It is a visual planning reference intended to show a possible expansion path if the breakout continues to behave constructively. Together, the envelope, the breakout signal, the throwback state, and the target framework create a full breakout-quality sequence rather than a single event label. Signals & Alerts The script is designed to organize the breakout workflow into visible states rather than flooding the chart with constant commentary. The main states include bullish breakout, bearish breakout, throwback monitoring, throwback hold, breakout failure, and target hit. This makes the chart easier to read and helps the user understand where the setup currently stands. Bullish and bearish breakout markers appear when price achieves a confirmed outside close beyond the relevant envelope band. These are the initial expansion events. They are then followed by a monitoring phase in which the script watches how price behaves around the broken band area. If the return is constructive, the script can label that behavior as a successful hold. If the move loses quality and breaks down, the script can classify it as a failure. The target marker is optional and functions as a planning aid, not as a certainty engine. It simply shows that the projected expansion objective has been reached based on the chosen configuration. In practical use, this can help traders separate the breakout event itself from the later progression of the move. The alert set is intended to remain deterministic and chart-state aware. It focuses on confirmed breakout events, throwback behavior, breakout failure, and target completion. This keeps the script aligned with workflow clarity instead of turning it into a noisy alert generator. Key Inputs The envelope settings control the moving basis, ATR length, and multiplier that define the adaptive breakout shell. These settings determine how sensitive the script is to changing volatility and how demanding the outside-close condition becomes. The breakout filter settings allow the user to regulate confirmation quality. Depending on the selected configuration, the script can require stronger momentum, clearer outside distance, and optional volume confirmation. This helps users decide whether they want a more selective or more responsive model. The throwback analysis settings define how the script interprets the first return toward the broken envelope area. These settings influence how deeply price can revisit the area before the move is treated as weak, failed, or still acceptable. The target settings control whether the projected objective is shown and how far it is placed from the breakout area. The visual settings then manage panel visibility, panel placement, font sizing, historical object behavior, and label density so the script can remain clean in live use and in publish screenshots. Limitations & Transparency This script is a breakout-quality framework, not a prediction engine. It does not know in advance whether a breakout will continue. It evaluates the quality of a breakout after a valid outside-close event occurs and then tracks how price behaves afterward. That distinction is important. The ATR envelope is an adaptive reference, which means the same market move may be classified differently under different volatility regimes. That is intentional. The script is designed to respond to changing market structure, but any adaptive model will also reflect the sensitivity of its settings. Users should therefore expect the behavior of the tool to vary across symbols, timeframes, and volatility environments. Volume inputs may also behave differently across markets and data feeds. On some instruments, volume can add useful confirmation. On others, it may be less informative. For that reason, volume should be treated as a supporting factor rather than as an absolute truth layer. The target projection is a chart-planning feature, not a guaranteed outcome. Likewise, a breakout failure label does not mean the market cannot later recover, and a target hit does not mean the move was universally optimal. The script is meant to help structure chart reading, not replace trade management, context analysis, or personal decision-making. How this script differs from our other AG Pro tools Within the AG Pro lineup, this script is intentionally positioned as a volatility-envelope breakout tool. It does not compete with our box-based breakout logic, our period-high/low breakout logic, or our static break-retest logic. Its role is to answer a different question: did price achieve meaningful acceptance outside an adaptive ATR shell, and did that acceptance survive the first return test? That makes it especially useful when traders want a volatility-adjusted view of expansion quality. In markets where static levels are repeatedly pierced, an adaptive envelope framework can provide a cleaner read on whether the move is truly escaping current volatility conditions or simply stretching within ordinary noise. In that sense, the script is not a replacement for our other breakout-oriented tools. It is a separate layer with a different reference model, different retest logic, and a different chart story. That separation is deliberate and is one of the reasons the script belongs in its own category inside the broader AG Pro collection. Risk Disclosure This script is an analytical chart tool designed to visualize volatility-adjusted breakout conditions, breakout quality, and post-breakout behavior. It is not financial advice, not a signal service, and not a guarantee of future price direction. All breakout conditions can fail. Momentum can fade, volume can be inconsistent, and throwback behavior can change quickly. Markets remain uncertain, and no indicator can eliminate risk. Users should always apply their own market judgment, risk controls, and execution rules. Use the script as a structured decision-support layer, not as a stand-alone trading instruction. Confirmation from broader context, trend conditions, liquidity structure, and personal risk management remains essential.
Indicador Pine Script®
por AGProLabs
3
Institutional Zone Mapper [JOAT]Institutional Zone Mapper Introduction Institutional Zone Mapper is an open-source overlay indicator that detects swing-pivot order blocks — the last impulsive candle preceding a significant price displacement — and renders them as persistent box-based zones with session-color-coded borders, a four-component strength score from 0 to 10, touch-count tracking, and a configurable mitigation lifecycle. The indicator identifies the candle immediately before a confirmed swing pivot, verifies that a meaningful ATR-scaled displacement followed, and places a zone around that candle's midpoint. Zones are born with a strength score derived from displacement magnitude, session context, age, and zone height — allowing traders to instantly distinguish premium, high-conviction zones from weak, low-probability ones. The core problem this indicator solves is that most order block tools place zones mechanically without quality filtering, flooding the chart with dozens of marginal levels that have little predictive value. The IZM's four-component scoring system ensures only zones with meaningful institutional characteristics survive on the chart. A minimum strength filter removes everything below the user-defined threshold, and the mitigation system automatically removes, stops extending, or fades zones that have been closed through — maintaining a clean, current map of active supply and demand. Core Concepts 1. Swing Pivot Detection The indicator uses ta.pivothigh and ta.pivotlow with a configurable swing length. A pivot high confirmed at bar_index means a price high existed swingLen bars ago that was higher than the swingLen bars on either side of it. When a pivot low is confirmed, the indicator looks back through a configurable candle lookback window to find the last bearish close candle before that pivot — this is the bullish order block candidate. The displacement check ensures the move from that candle to the pivot was at least ATR * dispMult, filtering out low-momentum pivots that are unlikely to represent genuine institutional accumulation. 2. Four-Component Strength Scoring Each zone receives a score between 0 and 10 from four additive components: Displacement Score (0-3): The ratio of the displacement to ATR is binned — larger moves score higher, capped at 3.0 Session Score (0-2): London and NY session zones score 2.0, Asia zones score 1.0, off-hours score 0.5 Age Score (0-2): Freshly formed zones (under 30 bars) score 2.0; zones over 150 bars old score 0.5 Zone Height Score (0-3): Zones whose ATR-normalized height falls in a sweet spot (0.5 to 2x ATR) score 3.0 — too tight or too wide zones score lower The minimum strength filter (default 3.0/10) removes zones that fail to meet the threshold, keeping the chart uncluttered. 3. Session Classification and Color-Coded Borders Each zone's birth session is stored and used to color its border: London zones receive a blue border (#60a5fa), NY zones a pink border (#f472b6), Asia zones a green border (#34d399), and off-hours zones a gray border (#64748b). The session is detected from the candle's timestamp using UTC hours, mapping to standard London (08:00-17:00 UTC), New York (13:00-22:00 UTC), and Asia (00:00-09:00 UTC) windows. This allows traders to immediately gauge which market session was active when institutional activity was registered. 4. Mitigation Lifecycle When price closes through a zone — below the bottom of a bull OB, or above the top of a bear OB — the zone is considered mitigated. Three mitigation behaviors are available: Delete: Zone is removed entirely from the chart Stop Extending: Zone stops extending to the right and fades to near-transparent (zone box is fixed at the current bar) Keep: Zone remains but fades visually to indicate mitigation Touch counting is separate from mitigation — each confirmed close inside the zone increments the touch count, and the border progressively darkens with each retest to communicate how many times price has interacted with the level. 5. Proximity Detection A configurable ATR buffer defines a proximity zone above each bull OB and below each bear OB. When price enters this buffer without yet entering the zone, the dashboard shows "NEAR" and proximity diamonds appear on the chart. This gives an early warning that price is approaching an active level before the actual retest occurs. IZM showing the proximity diamond markers appearing as price approaches a bull OB from above, the info label updating with live age and touch count, and a faded zone after mitigation with the Stop Extending behavior active Features Swing Pivot Order Block Detection: Locates the last impulsive candle before a confirmed swing high or low with ATR-scaled displacement verification Four-Component Strength Score (0-10): Displacement, session, age, and zone height combine into a single quality score — only zones above the minimum threshold are displayed Session-Colored Borders: London blue / NY pink / Asia green / Off gray borders identify which session birthed each zone at a glance Box-Based Zone Rendering: Solid box fills with session-colored borders — substantially more visible than linefill-based zone systems Touch Count Darkening: Zone border opacity increases with each confirmed retest, visually communicating how frequently price has revisited the level Three Mitigation Behaviors: Keep, Stop Extending, or Delete — each with optional fade-on-mitigation toggle Proximity Markers and Dashboard State: Diamond markers and NEAR/ACTIVE dashboard state when price enters or approaches active zones Info Labels: Dynamic text labels at zone right edge showing type, strength score, session, age in bars, zone height in pips/ticks, and touch count Position Filter: Optional toggle to show only bull OBs below current price and bear OBs above, removing zones that are contextually irrelevant to the current price location Max Active OBs: Oldest zones are trimmed when the array exceeds the configured maximum, keeping memory usage bounded 9-Row Dashboard: Active bull/bear OB counts, touch states (ACTIVE / NEAR), current session, ATR, minimum displacement distance, minimum strength threshold 6 Alertconditions: Zone entry, proximity approach, and new zone creation alerts for both bull and bear sides Input Parameters Order Block Detection: Swing Length: Pivot confirmation lookback — higher values detect more significant, less frequent pivots (default 7) OB Candle Lookback: How many bars back to search for the qualifying order block candle (default 20) Displacement ATR Mult: Minimum displacement from OB candle to pivot, as a multiple of ATR (default 1.3) Max Active OBs / Side: Maximum concurrent zones per direction before oldest are trimmed (default 5) Min Strength Filter: Minimum strength score required to display a zone (default 3.0/10) Zone Settings: Zone ATR Width: Half the zone height expressed as ATR multiplier — sets the vertical thickness of zones (default 0.75) Proximity Buffer (ATR): Distance above/below zone edge that activates the NEAR state (default 0.25) Position Filter: When enabled, only shows zones on the correct side of current price (default off) Mitigation: On Mitigation: Keep / Stop Extending / Delete (default Stop Extending) Fade On Mitigation: Whether to reduce zone opacity when mitigated (default on) How to Use This Indicator Primary Setup — Zone Retest Entry: Look for price returning to an active zone (box fill area) after displacement away from it. When the dashboard shows ACTIVE and the zone has a high strength score (7+), this represents a high-quality retest opportunity. Enter in the zone's direction with a stop beyond the opposite edge of the box. Reading the Strength Score: Zones scoring 7-10 should be treated as premium levels — the displacement was large, the session was active, the zone is fresh, and the height is optimal. Zones scoring 3-5 are marginal. Use the minimum filter to remove low-quality zones entirely if the chart becomes cluttered. Session Context: London and NY zones (blue and pink borders) represent the most liquid, highest-participation session activity. An Asia-born zone that has not been retested by London or NY open is lower priority. A NY-born zone returning to price during the following London session is a high-context setup. Proximity Workflow: When a proximity diamond appears, price is approaching but has not entered a zone. This is the time to prepare your entry plan — set alerts using the Approaching alerts, watch for confirmation signals on a lower timeframe, and be ready when the NEAR state transitions to ACTIVE. Indicator Limitations Order block detection requires a confirmed swing pivot — pivot confirmation in Pine Script v6 is delayed by swingLen bars, meaning zones are created with a bar offset relative to the actual pivot price action The displacement check uses the current-bar ATR, not the ATR at the time the zone was created — on rapidly expanding volatility environments this can temporarily raise the displacement threshold and filter out recent zones The four-component scoring system uses static bin boundaries. Markets with unusually large or small ATR ranges may require tuning the displacement multiplier and zone width parameters to produce well-calibrated scores Touch count increments on any confirmed close inside the zone, including the candle that originally created it. The first touch is therefore always the creation bar itself; meaningful retest context begins at touch count 2+ The mitigation logic detects a close through the zone edge, not an intrabar wick. Strong impulse candles that close back inside the zone will not trigger mitigation despite briefly penetrating the level Originality Statement This indicator is original in its four-component strength scoring system, session-colored border architecture, and touch-count border darkening feedback mechanism. The publication is justified because: The four-component strength score (displacement, session, age, zone height) produces a quantitative quality ranking that is not present in standard order block tools, allowing the user to immediately identify premium versus marginal zones without manual evaluation Session-colored borders encode institutional session context directly into the zone visual without requiring the user to maintain a separate session indicator, creating a self-contained contextual map Touch-count border darkening provides a progressive visual feedback loop that communicates zone interaction history — the darker the border, the more times price has revisited the level The proximity buffer and NEAR/ACTIVE dashboard state create a two-stage alert system that gives traders preparation time before an actual zone retest, reducing late entries The mitigation lifecycle with fade-on-mitigation is a novel approach to zone management that preserves chart history while clearly delineating which zones remain actionable Disclaimer This indicator is provided for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any financial instrument. Past performance of any pattern or signal does not guarantee future results. All trading involves substantial risk. Always use proper risk management and conduct your own independent analysis. — Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
Vantage Protocol [JOAT]Vantage Protocol Introduction Vantage Protocol is an advanced open-source execution strategy that integrates regime classification, adaptive momentum filtering, volume confirmation, session timing, and ATR-based risk management into a unified NNFX-aligned trading engine. Rather than relying on a single entry signal, the strategy requires alignment across five independent subsystems — regime state, momentum direction, cumulative volume delta, volume presence, and session timing — before entering a trade. This multi-gate architecture is designed to filter out low-probability setups and only execute when multiple independent factors converge. This strategy exists because most retail strategies fail for a predictable reason: they use one or two conditions for entry and ignore the broader market context. A moving average crossover in a choppy market produces losses. A momentum signal during a low-volume session lacks follow-through. An entry outside the active institutional window misses the liquidity needed for clean execution. Vantage Protocol addresses each of these failure modes with a dedicated subsystem, and only enters when all subsystems agree. Important Note on Strategy Results Backtesting results shown with this strategy are historical simulations and do not guarantee future performance. Markets change, and strategies that performed well historically may not perform well in the future. The default settings use realistic parameters: 2% of equity per trade, $100,000 initial capital, no pyramiding, and zero margin. Users should add commission and slippage appropriate for their broker and instrument in the strategy Properties dialog before evaluating results. The strategy is published with these defaults to provide a transparent starting point — users are expected to adjust parameters for their specific trading conditions. Strategy Architecture The strategy follows an NNFX (No Nonsense Forex) inspired architecture where each subsystem acts as an independent gate. A trade is only entered when all gates are open simultaneously. Gate 1: Regime Engine The regime engine determines whether the market is trending or ranging. It combines three independent measures: H-Infinity Filter: An adaptive filter from control theory that tracks price under worst-case noise assumptions. The filter's slope determines directional bias — positive slope = bullish, negative slope = bearish R-Squared Efficiency Gate: Measures how well price fits a linear regression. When R-squared exceeds an auto-calibrating threshold (rolling mean plus k standard deviations), the efficiency gate opens, indicating a trending market. A hysteresis band prevents flickering Chop Score: Measures path efficiency — the ratio of net movement to total path length. High chop scores indicate choppy, non-directional markets where trend-following strategies fail The regime is classified as trending (bullish or bearish) only when R-squared confirms efficiency AND chop score confirms directional movement. If either condition fails, the regime is classified as ranging and no entries are allowed. bool regimeTrend = effOK and not isChoppy int regimeBias = regimeTrend ? (hinfSlope >= 0 ? 1 : -1) : 0 Gate 2: Momentum Core The momentum subsystem uses a Laguerre RSI processed through JMA adaptive smoothing. The Laguerre filter provides a smoother, less laggy momentum reading than standard RSI, and the JMA smoothing further reduces noise while preserving responsiveness to genuine momentum shifts. Momentum must confirm the regime direction: For long entries: JMA-smoothed Laguerre RSI must be above the bull threshold (default: 62) For short entries: JMA-smoothed Laguerre RSI must be below the bear threshold (default: 38) This prevents entries when momentum is neutral or contradicts the regime bias. Gate 3: Volume Filter (CVD) Cumulative Volume Delta tracks net buying versus selling pressure. The strategy requires the CVD slope (smoothed with an EMA) to confirm the trade direction: For long entries: CVD slope must be positive (net buying pressure increasing) For short entries: CVD slope must be negative (net selling pressure increasing) Additionally, the current bar's volume must exceed a minimum ratio relative to the 50-bar average (default: 0.7x). This filters out entries during thin-liquidity periods where price moves lack conviction and slippage risk is elevated. Gate 4: Session Filter An optional session window filter restricts entries to a configurable time window (default: 0200-1200 New York time). This aligns trading with the London and New York sessions where institutional liquidity is deepest. Entries outside this window are blocked because low-liquidity sessions produce unreliable price action and wider spreads. Gate 5: Cooldown After any exit (whether by stop loss, take profit, or regime exit), a configurable cooldown period (default: 5 bars) must pass before a new entry is allowed. This prevents revenge trading and allows the market to establish a new setup after a position closes. Entry and Exit Logic Entry Conditions: All five gates must be open simultaneously, and the strategy must be flat (no existing position): bool longSetup = regimeBias == 1 and momBull and cvdBull and volOK and sessOK and cooldownOK bool shortSetup = regimeBias == -1 and momBear and cvdBear and volOK and sessOK and cooldownOK Stop Loss and Take Profit: SL and TP levels are calculated using ZEMA-smoothed ATR multiplied by configurable factors: Stop Loss: Entry price minus (ZEMA-ATR x SL Multiplier) for longs, plus for shorts (default SL multiplier: 1.8) Take Profit: Entry price plus (ZEMA-ATR x TP Multiplier) for longs, minus for shorts (default TP multiplier: 2.8) The default risk-reward ratio is approximately 1:1.56 (1.8 SL to 2.8 TP). ZEMA smoothing on the ATR removes noise from the volatility measure, producing more stable SL/TP levels than raw ATR. Regime Exit: If the regime flips to ranging or the opposite direction while a position is open, the strategy closes the position immediately with a "Regime Exit" comment. Additionally, if momentum deteriorates significantly (Laguerre RSI crossing back toward neutral), the position is closed. This prevents holding positions through regime changes where the original thesis is no longer valid. Band Structure Visualization The strategy plots a JMA baseline with regime-colored glow, and SL/TP bands around it: SL bands (inner) shown in muted scarlet with fill zones TP bands (outer) shown in muted jade with cross-style plotting The baseline color shifts based on regime: green for bullish trend, red for bearish trend, purple for ranging Bar coloring reflects the current position state: green when long, red when short, purple when ranging (no position allowed), and grey when flat in a trending regime. Default Strategy Properties These are the default values used in the strategy's Properties dialog: Initial Capital: $100,000 Order Size: 2% of equity per trade Pyramiding: 0 (no adding to positions) Margin: Long 0%, Short 0% (cash account simulation) Commission: Not set by default — users should configure this for their broker (typical values: 0.01-0.1% for crypto, $1-5 per contract for futures, 1-3 pips for forex) Slippage: Not set by default — users should configure this for their instrument (typical values: 1-3 ticks for liquid instruments, more for illiquid ones) Users are strongly encouraged to set realistic commission and slippage values before evaluating backtesting results. Results without commission and slippage will overstate performance. Input Parameters Regime Engine: R-Squared Length (default: 30), R-Squared Threshold k (default: 0.8), Chop Length (default: 20), Chop Threshold (default: 0.55) H-Infinity Order (default: 3), Noise (default: 0.5), Disturbance (default: 1.0) Momentum Core: Laguerre Alpha (default: 0.07), JMA Smooth Period (default: 8), Bull Threshold (default: 62), Bear Threshold (default: 38) Volume Filter: CVD Smoothing (default: 14), Min Volume Ratio (default: 0.7) Band Structure: JMA Period (default: 21), ATR Length (default: 14), SL Multiplier (default: 1.8), TP Multiplier (default: 2.8) Session Filter: Session Filter toggle (default: on), Active Window (default: 0200-1200), Timezone (default: America/New_York) Risk Management: Risk % (default: 1.5), Re-entry Cooldown (default: 5 bars) How to Use This Strategy Step 1: Configure for Your Instrument Open the strategy Properties dialog and set commission and slippage values appropriate for your broker and instrument. Adjust the session window if you trade instruments with different liquidity patterns than the default London/NY window. Step 2: Evaluate on Sufficient Data Run the strategy on a dataset that produces at least 100 trades for statistical significance. Short datasets with few trades produce unreliable performance metrics. Use the strategy tester's detailed trade list to review individual trades. Step 3: Monitor the Dashboard The 9-row dashboard shows the state of every subsystem in real-time: regime classification, momentum reading, CVD direction, volume ratio, session status, current position, ATR value, and cooldown status. This transparency lets you understand exactly why the strategy is or is not entering trades. Step 4: Understand the Regime Exit The strategy will close positions when the regime changes, even if the SL/TP has not been hit. This is by design — holding a trend-following position through a regime change to ranging is a common source of losses. Regime exits may result in small wins or small losses, but they prevent the larger losses that come from ignoring changing conditions. Step 5: Adjust Parameters Thoughtfully If the strategy produces too few trades, consider lowering the momentum thresholds (bull from 62 to 58, bear from 38 to 42) or reducing the minimum volume ratio. If it produces too many losing trades, consider increasing the R-squared threshold k or the chop threshold. Each parameter change affects the trade-off between signal frequency and signal quality. Strategy Limitations and Compromises Trade Frequency: The five-gate architecture is deliberately selective. On many instruments and timeframes, the strategy may only produce a handful of trades per month. This is by design — fewer, higher-quality trades — but it means the strategy is not suitable for traders who need frequent activity Regime Detection Lag: The regime engine uses lookback-based measures (R-squared, chop score) and persistence requirements. Regime changes are identified with a delay, which means the strategy may miss the first portion of a new trend or hold slightly into a regime change CVD Approximation: The volume delta calculation (close > open = buying) is an approximation. True order flow requires Level 2 data not available in Pine Script. On instruments with unreliable volume data (forex with tick volume), the CVD gate may be less effective Fixed SL/TP: Stop loss and take profit are set at entry and do not trail. In strong trends, the strategy may exit at the TP while the trend continues. A trailing stop modification could capture more of extended moves but would also increase the risk of giving back profits during pullbacks Session Dependency: The default session filter is optimized for forex and futures with distinct London/NY sessions. Crypto and other 24/7 markets may benefit from disabling the session filter or adjusting the window No Pyramiding: The strategy does not add to winning positions. This limits profit potential in strong trends but also limits risk exposure Backtesting vs Live: Backtesting assumes fills at the close of the signal bar. In live trading, slippage, requotes, and execution delays may produce different results. Always paper trade before committing real capital Originality Statement This strategy is original in its multi-gate architecture that synthesizes five independent subsystems into a unified execution engine. While individual components (regime detection, Laguerre RSI, CVD, session filtering, ATR-based risk management) are established concepts, this strategy is justified because: The five-gate entry architecture (regime + momentum + CVD + volume + session) provides a systematic approach to filtering low-probability setups that is not available in single-indicator strategies The H-Infinity filter for regime detection applies control theory to market classification, providing a theoretically grounded alternative to simple moving average crossover regime detection The triple-measure regime engine (R-squared + chop + H-Infinity slope) provides more robust regime classification than any single measure The regime exit mechanism actively manages positions based on changing market conditions rather than relying solely on fixed SL/TP levels The NNFX-inspired architecture with clearly separated subsystems (baseline, confirmation, volume, exit, session) provides a modular framework that traders can understand, evaluate, and modify The cooldown mechanism prevents revenge trading after exits, addressing a common behavioral trading error All subsystem states are displayed transparently in the dashboard, allowing traders to understand exactly why trades are or are not being taken Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Backtesting results are historical simulations based on past data. Past performance does not guarantee future results. The strategy's historical performance was generated under specific market conditions that may not repeat. Markets are dynamic, and strategies that worked historically may fail in the future. The default strategy properties do not include commission or slippage. Users must configure these values for their specific broker and instrument to obtain realistic performance estimates. Results without commission and slippage will overstate actual trading performance. Always use proper risk management, including position sizing appropriate for your account and risk tolerance. Never risk more than you can afford to lose. Consider paper trading this strategy extensively before using real capital. The author is not responsible for any losses incurred from using this strategy. -Made with passion by officialjackofalltrades
Estrategia Pine Script®
por officialjackofalltrades
AG Pro Displacement Quality Finder [AGPro Series]AG Pro Displacement Quality Finder Overview / What It Does AG Pro Displacement Quality Finder is designed to identify displacement candles that stand out for structural intent rather than simple size alone. Instead of highlighting every large bar on the chart, the script evaluates whether a candle shows the type of directional expansion that traders often associate with meaningful repricing. The goal is to help separate ordinary volatility from displacement events that may deserve closer attention. The core logic focuses on the quality of the candle itself and the context immediately connected to it. A displacement candle can look impressive at first glance while still lacking the characteristics that make it useful in analysis. This script addresses that problem by combining body expansion measurements, marubozu-style pressure assessment, and optional volume confirmation into a single quality framework. The result is a more selective view of bullish and bearish displacement conditions. Once a valid event is detected, the script does not stop at marking the candle. It also maps a follow-up reclaim zone derived from the displacement structure so the user can monitor whether price revisits, respects, or interacts with that area later. This creates a workflow that is not limited to signal spotting. It extends the idea into post-event tracking, which is often the more practical part of chart analysis. The visual design is intended to keep the chart readable while still making the key information obvious. Displacement candles can be recolored, quality tags can classify stronger events, and reclaim zones can remain visible long enough to preserve market context. The panel summarizes the latest state and core ratios so the user can quickly understand why the most recent event qualified. Unique Edge The distinctive feature of this script is that it treats displacement as a quality problem, not just a range problem. Many tools mark large candles. This script tries to isolate higher-conviction expansion candles by checking whether the body is meaningfully large relative to ATR and average body size, whether the candle shows strong close-to-extreme behavior, and whether optional volume confirmation supports the move. A second differentiator is the reclaim-zone workflow. Instead of placing a marker and ending the analysis there, the script projects a reclaim area from the detected displacement structure. That makes the tool useful both at the moment of expansion and in the bars that follow. Traders who study impulsive moves often care just as much about what happens after the expansion candle as they do about the candle itself. The script also uses visual hierarchy to keep stronger and more relevant structures easier to read than older or lower-priority ones. This helps reduce the “everything matters equally” problem that often makes zone-based tools harder to use in practice. Methodology The script evaluates bullish and bearish displacement candidates using multiple filters that are designed to work together rather than as isolated checks. At the center of the model is body expansion. The candle body is compared against ATR and against an average-body baseline so that the script can judge whether a bar is unusually forceful for the instrument and timeframe being viewed. A marubozu-proximity component is then used to assess directional cleanliness. In simple terms, the script looks for candles whose closing behavior suggests genuine directional pressure rather than a wide but indecisive bar. This helps reduce false positives from candles that are large in total range but weak in directional conviction. An optional volume confirmation layer can be enabled for users who want displacement selection to include participation strength. This does not redefine the script into a volume indicator. It simply acts as an additional confirmation filter for users who prefer more selectivity. When a displacement event qualifies, the script can recolor the candle and assign a quality tag. The quality tag reflects the combined strength of the measured conditions rather than a single-factor reading. The script then builds a reclaim zone tied to that displacement structure and extends it forward so later interaction can be monitored on the chart. Signals & Alerts The script is built around bullish and bearish displacement detection. When the selected conditions are met, the chart can display a quality tag and the displacement candle can be visually emphasized. Reclaim zones are then plotted so the user can follow the area after the impulse. Bullish and bearish alerts can be used to notify the user when a qualified displacement event appears. These alerts are intended to identify the script’s filtered displacement conditions, not to predict the full future path of price. In practice, they are most useful as chart-review prompts or workflow triggers rather than as stand-alone trade instructions. Key Inputs Users can customize the strictness and presentation of the model through inputs such as: - Body expansion sensitivity relative to ATR - Body expansion sensitivity relative to average candle body - Marubozu proximity threshold - Optional volume confirmation - Candle recoloring - Quality tag visibility - Reclaim zone visibility and extension length - Panel font size - Label font size - General visual display preferences These controls allow the script to be tuned for more aggressive discovery or more selective filtering depending on instrument behavior and timeframe. Limitations & Transparency This script does not claim to identify every important move, nor does it assume that every qualified displacement event will lead to continuation. Some valid expansion candles can fail quickly, while some useful moves may be excluded if the filters are set too strictly. That trade-off is part of any selective model. Reclaim zones are analytical reference areas, not guarantees of support or resistance. Price may react, ignore the zone, briefly interact with it, or invalidate it entirely. The script is designed to visualize these areas in a structured way, but interpretation remains with the user. Results can vary materially across assets, sessions, volatility regimes, and timeframes. Thresholds that work well on one instrument may be too loose or too strict on another. Users should expect to calibrate settings rather than assume one configuration is universally optimal. As with most chart tools, visual density can increase if many qualifying events occur in the same region. The script includes hierarchy-oriented visual handling, but it is still best used with sensible chart context and reasonable parameter choices. Risk Disclosure This script is an analytical charting tool. It is not financial advice, not a promise of performance, and not a guarantee of future results. It does not know the user’s objectives, risk tolerance, execution quality, or portfolio constraints. Displacement, momentum expansion, and reclaim behavior can all be useful concepts in market analysis, but none of them remove uncertainty. Users should apply their own process, risk controls, and independent judgment before acting on any chart observation generated by this script.
Indicador Pine Script®
por AGProLabs
2
ATR Scalper Analytics & Trend Reversal Dashboard [giua64]This professional analytics dashboard is a comprehensive context-analyzer designed specifically for scalpers and intraday traders (optimized for the 3-minute timeframe). It provides a real-time, multidimensional view of market volatility, daily range exhaustion, and trend strength in a single, clean UI. Instead of chasing lagging price indicators, this tool focuses on the internal mechanics of market movement to detect when a trend is healthy or when it is becoming exhausted and ready to reverse. KEY FEATURES 1. Trend & Volatility Confluence The dashboard synchronizes three critical layers of market data: Trend Filter: Real-time BULL/BEAR detection based on an optimized EMA 20. Volatility Engine: Compares current ATR against its historical average to identify high-participation zones (🔴) or low-interest "quiet" zones (🔵). Global Sentiment: Integration of the VIX (Volatility Index) to filter entries based on broader market fear or complacency. 2. Range Saturation (The Fuel Gauge) The core protection feature for intraday traders. It calculates the Daily Range Saturation %: Compares the current High-Low range to the Average Daily Range (ADR). Exhaustion Alert: If saturation exceeds 90-100%, the indicator triggers an "EXHAUST" signal, preventing you from buying the top or selling the bottom of a daily move. 3. Smart Reversal Warning System This script detects Volatility Divergence—the primary cause of trend failure: Warning Signal: If the price hits a new high/low but ATR is falling, the dashboard triggers a "WARN: FINE TREND" signal. This alerts you that the "engine" of the move is losing fuel, signaling a high probability of a reversal before it actually happens. DASHBOARD COLUMNS EXPLAINED ATR & MA: Real-time volatility vs. its moving average. ATR %: The percentage impact of volatility relative to the current price. VIX: Global fear gauge (calibrated for risk-on/risk-off filters). Range Sat: Percentage of the daily movement already consumed. Trend: Current directional bias (BULL/BEAR). Signal: The final operational verdict: FLAT, LONG, SHORT, WARN, or EXHAUST. ASSET COMPATIBILITY & PRESETS GOLD (XAUUSD) & INDICES: Optimal performance with dedicated volatility presets. FOREX: Use the "Forex" preset to calibrate for lower tick-based volatility. CUSTOM: Fully adjustable thresholds for any asset class. HOW TO USE (SCALPER WORKFLOW) Check Volatility: Look for the 🔴 (Red) circle. Scalping requires "fuel" (High ATR). Verify Trend: Ensure your intended direction aligns with the BULL/BEAR column. Monitor Saturation: Only take new trades if "Sat" is low (<60%). If it's >90%, the "room" for profit is limited. Watch for Warning: If the signal changes to WARN: FINE TREND, tighten your Stop Loss or exit immediately—the reversal is coming. IMPORTANT WARNING This indicator is a confluence tool shared for educational purposes. It was created by an amateur trader (giua64) in the spirit of mutual learning and collaboration. Never trade based on a single indicator. Past performance does not guarantee future results. Always use strict risk management. Created by Giovanni Lacqua (giua64@gmail.com) “An Eagle born to fly, born to dare.....” RELEASE NOTES (v.1.0) Initial release optimized for 3M/5M/15M timeframes. Multi-asset presets (Gold, Indices, Forex). Adaptive UI (Dark/Light mode detection). Integrated VIX and Daily Range analysis. Smart Reversal Warning logic.
Indicador Pine Script®
por giua64
Meridian Scaffold [JOAT]Meridian Scaffold Introduction Meridian Scaffold is an advanced open-source volatility band structure that builds adaptive price envelopes around a Jurik Moving Average (JMA) baseline with integrated range-lock dampening. Unlike standard Bollinger Bands or Keltner Channels that use fixed statistical measures, this indicator constructs its bands using ATR-Fibonacci expansion levels with auto-calibrating width, overlays a ZEMA trend bias system, and includes a full volatility regime classification engine with hysteresis state transitions. The result is a band structure that adapts its behavior to the current market phase — compressing tightly during consolidation, expanding proportionally during trends, and providing clearly defined reaction levels at Fibonacci-derived distances from the adaptive baseline. This indicator addresses a core problem with conventional band indicators: they treat all market conditions the same. A Bollinger Band expands and contracts based on standard deviation alone, with no awareness of whether the market is trending, compressing, or in a whipsaw phase. Meridian Scaffold solves this by fusing a volatility regime classifier (compression, normal, expansion) with adaptive band construction, so the bands behave differently depending on the detected market phase. During compression, the baseline locks to a simple average to prevent false signals. During expansion, the bands widen using Fibonacci ratios to project realistic target levels. Core Concepts 1. JMA Adaptive Baseline with Range-Lock Dampening The centerline of the band structure is a Jurik Moving Average — an adaptive filter that tracks price closely during fast moves and smooths aggressively during noise. The JMA implementation includes a full volatility tracking system that measures the relative volatility of the input signal: // Relative volatility determines JMA responsiveness float rv = math.min(math.max(avgVolty > 0 ? volty / avgVolty : 1.0, 1.0), maxPow) float adaptiveAlpha = math.pow(beta, math.pow(rv, pow1)) When relative volatility drops below a configurable threshold (the "range lock" condition), the indicator switches from the JMA to a simple moving average. This prevents the baseline from oscillating during low-volatility chop, producing a flat, stable reference line that clearly communicates "no trend present." When volatility returns, the JMA resumes tracking. 2. ATR-Fibonacci Expansion Levels Rather than using standard deviation (which assumes normal distribution) or fixed ATR multiples, the bands are constructed at Fibonacci-derived distances from the baseline. The ATR is first smoothed using a ZEMA technique (double-EMA extrapolation) to remove noise from the volatility measure itself: float atrZ1 = ta.ema(atrRaw, 21) float atrZ2 = ta.ema(atrZ1, 21) float atrSmooth = atrZ1 + (atrZ1 - atrZ2) This ZEMA-smoothed ATR is then multiplied by configurable inner and outer factors to create the band levels. The default inner band at 1.5x ATR captures normal price oscillation; the outer band at 2.8x ATR marks extended moves. Additional Fibonacci extension levels at 1.618x and 2.618x ATR provide projection targets for breakout moves. 3. Volatility Regime Classification The indicator classifies the current volatility environment into three states using a hysteresis state machine: Compression: ATR is significantly below its long-term average (ratio < 0.6). Bands contract, baseline locks. This phase often precedes breakouts Normal: ATR is near its average. Standard band behavior applies Expansion: ATR is significantly above its long-term average (ratio > 1.5). Bands widen, momentum signals are prioritized The hysteresis mechanism prevents rapid switching between states. Entry into expansion requires a ratio above 1.5, but exit only occurs when the ratio drops below 1.2. This creates stable regime classifications that don't flicker on every bar. 4. ZEMA Trend Bias A Zero-Lag EMA calculated on the baseline provides directional bias. When the baseline is above its ZEMA, the bias is bullish; below, bearish. The spread between the baseline and ZEMA quantifies the strength of the directional conviction. This bias colors the baseline and bands to provide immediate visual feedback on trend direction. 5. Band Squeeze Detection The indicator monitors bandwidth (the percentage distance between outer bands relative to the baseline) against its own rolling average and standard deviation. When bandwidth drops below the average minus half a standard deviation, a squeeze condition is flagged. Squeezes represent compressed volatility that statistically tends to resolve with an expansion move. Features Slope-Aware Baseline Glow: The baseline renders with a multi-layer glow effect whose intensity scales with the normalized slope. Steeper trends produce more vivid glow; flat periods produce subtle, muted rendering Regime-Adaptive Band Coloring: Band colors shift automatically based on the volatility regime — compression phases use iris/purple tones, expansion phases use ember/warm tones, and normal phases use neutral slate Kaufman Efficiency Scoring: The Kaufman Efficiency Ratio (net price movement divided by total path length) is calculated and displayed, providing a 0-1 measure of how efficiently price is moving. Values above 0.4 indicate strong directional movement; below 0.2 indicates chop Mean Reversion Signals: When price touches or exceeds the outer band and then re-enters the inner band, the indicator generates a mean-reversion signal. These are most reliable during normal and compression regimes Breakout Signals: When price closes beyond the outer band during an expansion regime with volume confirmation, a breakout signal is generated. These indicate potential trend continuation Trend Strength Composite: A composite score combining slope strength, Kaufman efficiency, R-squared linearity, and regime alignment provides a single 0-100 measure of overall trend quality 16-Row Dashboard: Displays baseline value, regime state, trend bias, bandwidth, squeeze status, Kaufman ER, slope strength, R-squared, trend composite score, band levels, regime duration, and position relative to bands Input Parameters Baseline: JMA Period: Adaptive baseline smoothing length (default: 21) JMA Phase: Lead/lag adjustment (default: 0) JMA Power: Responsiveness curve (default: 0.45) Range Lock Threshold: Relative volatility below which the baseline locks flat (default: 0.55) Bands: ATR Length: Period for ATR calculation (default: 14) Inner Band Multiplier: ATR multiple for inner band (default: 1.5) Outer Band Multiplier: ATR multiple for outer band (default: 2.8) Regime: Regime Lookback: Period for volatility regime classification (default: 50) Visuals: Toggles for bands, Fibonacci extensions, glow effects, squeeze markers, regime background, bar coloring, and dashboard Zone opacity control for band fill transparency How to Use This Indicator Step 1: Identify the Volatility Regime Check the dashboard or observe the band coloring. Compression (purple/iris bands) means prepare for a breakout — avoid trend-following entries. Expansion (warm/ember bands) means trend-following setups are favored. Normal (slate bands) means standard analysis applies. Step 2: Read the Baseline Bias The baseline color and ZEMA relationship tell you the directional bias. Only look for long setups when the baseline is above ZEMA (bullish bias) and short setups when below (bearish bias). Step 3: Use Bands as Context Levels The inner band defines the normal oscillation range. Price consistently above the inner upper band indicates strong bullish momentum. The outer band marks extended territory where mean-reversion risk increases. Fibonacci extensions at 1.618x and 2.618x provide projection targets for breakout moves. Step 4: Trade Squeezes When a squeeze is detected (gold dots on the baseline), wait for the squeeze to release. The direction of the first strong move out of the squeeze often sets the trend for the next phase. Combine with the ZEMA bias for directional confirmation. Step 5: Monitor Trend Quality The trend strength composite score tells you how clean the current trend is. Scores above 60 indicate high-quality trends worth riding. Scores below 30 suggest choppy conditions where band-based mean-reversion strategies may work better. Indicator Limitations The JMA baseline, while adaptive, still lags price during sharp reversals. The range-lock feature helps during consolidation but cannot eliminate lag during genuine trend changes ATR-based bands assume volatility is relatively stable over the measurement period. During news events or gap openings, the bands may not accurately reflect the new volatility environment for several bars The volatility regime classifier uses hysteresis which creates stability but also delays regime transitions. A compression-to-expansion shift may be identified several bars after the breakout begins Fibonacci extension levels are mathematical projections, not guaranteed targets. Price may reverse before reaching them or blow through them entirely Squeeze detection identifies compressed volatility but does not predict the direction of the subsequent expansion. Additional directional analysis is required The indicator works best on liquid instruments with consistent volatility patterns. Thinly traded instruments may produce unreliable regime classifications Originality Statement This indicator is original in its integration of adaptive baseline technology with regime-aware band construction. While ATR bands and JMA are established concepts, this indicator is justified because: The JMA range-lock mechanism that switches to SMA during low-volatility periods is a novel approach to preventing false baseline oscillations in chop — standard JMA implementations do not include this feature ZEMA-smoothed ATR for band construction removes noise from the volatility measure itself, producing cleaner band edges than raw ATR The three-state volatility regime classifier with hysteresis transitions provides context-aware band behavior not available in standard Bollinger or Keltner implementations Fibonacci-derived expansion levels integrate harmonic ratio theory with volatility measurement, providing mathematically grounded projection targets The trend strength composite score synthesizes multiple independent quality measures (slope, efficiency, linearity, regime) into a single actionable metric Slope-aware glow rendering and regime-adaptive coloring provide instant visual feedback on market conditions without requiring dashboard reading Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Band levels, regime classifications, and signals are mathematical calculations based on historical data and do not predict future price movement. Squeeze conditions do not guarantee subsequent breakouts, and breakout signals do not guarantee trend continuation. Always use proper risk management and conduct your own analysis. The author is not responsible for any losses incurred from using this indicator. -Made with passion by officialjackofalltrades
Indicador Pine Script®
por officialjackofalltrades
AG Pro Consolidation Breakout Quality [AGPro Series]AG Pro Consolidation Breakout Quality Overview / What it does AG Pro Consolidation Breakout Quality is an overlay tool designed to detect compression zones and evaluate the quality of the breakout that emerges from them. Instead of marking every simple range expansion, the script first looks for a valid consolidation structure, then measures how convincing the breakout is once price closes outside the box. The core idea is straightforward: not every breakout from a tight range carries the same informational value. Some breaks occur with weak commitment, low participation, and immediate failure. Others show stronger intent through better candle structure, stronger relative volume, longer pre-break compression, and cleaner continuation behavior. This script is built to separate those conditions visually and systematically. The indicator automatically identifies consolidation zones using a narrow-range logic relative to ATR. When a valid box forms, the structure is drawn on the chart. If price closes beyond the upper or lower edge of that box, the script registers a breakout or breakdown and assigns a quality score. A throwback event can also be tracked after the break, helping users distinguish cleaner expansions from breaks that immediately revisit the zone. This makes the script useful for traders who want to monitor compression-to-expansion behavior in a structured way. It can be used to review developing ranges, compare breakout quality across instruments, and filter visual attention toward stronger or weaker breakout events without turning the chart into a cluttered signal feed. Unique Edge The differentiating idea behind this tool is that it does not treat consolidation and breakout as two unrelated events. It treats them as one sequence: compression, release, validation, and possible throwback. That sequence is then scored. Many breakout tools only draw a box or mark the first candle that moves outside a recent range. This script adds a second layer by evaluating the break itself. Volume participation, the strength of the closing position, the duration of the consolidation, and the efficiency of the breakout candle all contribute to the final quality read. If price quickly throws back into the prior box, that weakness is also reflected. This makes the script a natural sibling to AG Pro Break-Retest Quality, but it is not a duplicate. Break-Retest Quality focuses on retest behavior after a level break. Consolidation Breakout Quality begins one step earlier by focusing on the compression box itself, the first breakout from that structure, and the immediate integrity of that release. The emphasis here is the quality of expansion from consolidation, not the later retest workflow. Methodology 1) Consolidation detection The script scans for a sequence of relatively narrow bars. Narrowness is measured against ATR, so the detection logic adapts to the volatility environment of the symbol rather than relying on a fixed tick or percentage threshold. Once the required number of bars is reached, a consolidation box is formed from the local high-low range of that sequence. 2) Breakout / breakdown detection A bullish breakout is registered when price closes above the upper boundary of the active consolidation box. A bearish breakdown is registered when price closes below the lower boundary. The breakout level is then projected forward visually so the user can continue tracking the structure after the event. 3) Quality scoring The script assigns a 1 to 5 quality score using a weighted ruleset built around the breakout event: - Base breakout occurrence - Relative volume expansion compared with a volume moving average - Strength of the close beyond the box boundary - Duration of the consolidation before release - Body efficiency of the breakout candle 4) Throwback context After the breakout, the script can monitor whether price returns back into the broken consolidation box within a user-defined lookback window. This is treated as a sign of weaker follow-through and can be displayed directly on the chart for fast context reading. 5) Visual workflow The chart uses a structured visual hierarchy: - Consolidation box - Breakout or breakdown label - Throwback warning label - Quality score card - Breakout level projection - Compact info panel The goal is to keep the workflow readable while preserving enough structure for live chart use. Signals & Alerts The script can generate alerts for: - Bullish breakout - Bearish breakdown - High-quality breakout conditions - Elite-quality breakout conditions - Throwback warning - Any breakout event This allows the tool to be used either as a visual chart companion or as part of a broader alert-driven workflow. Users who prefer stricter confirmation logic should configure alerts in a way that matches their execution style. Key Inputs Consolidation Settings - Consolidation Length: number of bars required to form a valid consolidation - ATR Multiplier: sensitivity threshold for narrow-range detection - ATR Length: volatility lookback - Max Zones to Display: keeps chart objects under control Quality Scoring - Volume Spike toggle - Volume MA Length - Volume Spike Multiplier - Close Position scoring toggle - Throwback monitoring toggle - Throwback lookback length Visual Settings - Box color - Bullish breakout color - Bearish breakdown color - Throwback color - Box, level, score, arrow, and panel visibility - Label size controls Alerts - Minimum score threshold for alert relevance Limitations & Transparency This script is a market-structure visualization and event-quality tool. It is not a prediction engine, and it does not claim that every high score will lead to continuation or that every low score will fail. The score is a structured summary of selected breakout characteristics, not a guarantee of outcome. Consolidation detection depends on the selected ATR settings and bar count. Different symbols, sessions, and timeframes may require different parameter values. Users should expect the frequency and strictness of the boxes to change when those settings are adjusted. Volume-based logic may be more informative on instruments and venues where reported volume is meaningful. On some markets, volume behavior can be less consistent, which may reduce the usefulness of the volume component. Throwback detection is intended as context, not as a complete post-break trade management model. A throwback can represent weakness, but in some workflows it may also represent a later confirmation opportunity. The script leaves that interpretation to the user. Risk Disclosure This indicator is for chart analysis, structure review, and breakout context evaluation only. It does not provide financial advice, investment recommendations, or guaranteed trade outcomes. All trading and investing involve risk, including the risk of loss. Users should evaluate the tool on their own symbols, timeframes, and execution rules before relying on it in live decision-making.
Indicador Pine Script®
por AGProLabs
2
ATR Exhaustion & Volume Spike StrategyThis strategy is designed to identify high-probability trend reversals by combining Price Action, Pivot Levels, and Volatility analysis. It targets "exhaustion" points where the price has moved significantly beyond its average range and hits a major supply/demand zone. Core Logic: Pivot Levels: Detects historical reaction points where big players previously entered the market. ATR Exhaustion: Measures the current move against the average true range. If the move is overextended (e.g., > 2x ATR), it signals an overbought/oversold condition. Volume Spike: Filters entries by requiring a significant surge in trading volume (1.5x average), confirming mass participation at the level. How to Use: Recommended Timeframes: 2H is preferred for stability. Lower timeframes (5M/15M) require tighter ATR tuning. Risk Management: The strategy features built-in Position Sizing. It risks exactly 0.5% of equity per trade with a fixed 1:2 Risk-to-Reward ratio. Stop Loss: Automatically placed at the recent Pivot level or local candle extreme.
Estrategia Pine Script®
por MyStrategyHub
SmartFlow Position SizerSmartFlow Position Sizer automatically calculates your lot size based on account balance, risk percentage, and stop loss distance. Just click twice — Entry and SL — and let the math do the work. No spreadsheets. No guessing. Trade with discipline. ═══════════════════════════════════════ █ WHAT IT DOES This indicator solves the most common mistake in trading: incorrect position sizing . You set your account balance and risk %. Then click your Entry and Stop Loss directly on the chart. The indicator instantly calculates: Lot size — based on your risk tolerance and SL distance Take Profit — auto-calculated from your R:R ratio P&L in USD — expected profit and max loss displayed ATR volatility — current vs average ATR to gauge market conditions Long/Short auto-detection — determined by Entry vs SL position ═══════════════════════════════════════ █ HOW TO USE Step 1 — Add the indicator to your chart Step 2 — Click on the chart to set your Entry Price (1st click) Step 3 — Click again to set your Stop Loss (2nd click) That's it. The table and SL/TP zones appear immediately. Drag the Entry or SL line to adjust — all calculations update in real time Change R:R ratio in settings to move the TP level Long or Short is detected automatically — no manual selection needed Works in future (empty) chart areas — plan trades before price arrives ═══════════════════════════════════════ █ TABLE DISPLAY The on-chart table shows everything at a glance: ATR — current ATR value with period ATR Avg — average ATR for volatility comparison Vol Ratio — current ATR / average ATR (orange when elevated) Balance — your account balance in USD Risk % — max loss percentage per trade Entry — entry price with LONG/SHORT label Lot — calculated position size R:R — risk-to-reward ratio TP — take profit price and expected profit in USD SL — stop loss price and max loss in USD ═══════════════════════════════════════ █ VISUAL ZONES White line — Entry price Red zone — SL area (loss zone) with dollar amount on label Green zone — TP area (profit zone) with dollar amount on label Zones are drawn between your click positions, not fixed to the latest bar. This means you can place Entry and SL anywhere on the chart — including future empty areas — to plan trades visually before price arrives. ═══════════════════════════════════════ █ LOT CALCULATION FORMULA Lot = (Balance × Risk%) / (SL Distance × Contract Size) Example: $10,000 balance, 2% risk, SL distance = $20, contract size = 100 → Lot = ($10,000 × 0.02) / ($20 × 100) = 0.10 lots The result is rounded down to the nearest 0.01 to avoid exceeding your risk limit. ═══════════════════════════════════════ █ SETTINGS Account Settings Balance (USD) — Your account balance. Default: 10,000 Risk per Trade (%) — Max loss per trade. Default: 2% Contract Size (per Lot) — MT5 contract size. XAUUSD = 100. Adjust for your broker Take Profit R:R Ratio — TP is calculated as SL distance × this value. Default: 1.5 ATR Volatility ATR Period — Default: 14 ATR Average Period — For comparing current volatility vs average. Default: 50 Display Table position (4 corners), text size, SL/TP zone toggle ═══════════════════════════════════════ █ NOTES Works on any instrument — Gold, Forex, Crypto, Indices Designed for MT5/MT4 lot sizing — adjust Contract Size for your broker ATR volatility ratio turns orange when current ATR exceeds 1.5x the average — a visual warning that volatility is elevated All calculations use USD-denominated accounts Drawing positions use time-based coordinates, enabling placement in future chart areas
Indicador Pine Script®
por SmartFlow2026
2
BTC Ultimate Entry System BTC Ultimate Entry System A multi-criteria scoring indicator designed for high-conviction entries on 15-minute BTCUSDT charts. Combines 7 technical factors into a single coherent signal, eliminating guesswork. How It Works The indicator scores each candle against 7 criteria: 2HR EMA bias, local EMA slope, Supertrend direction, Bollinger Band touches, VWAP alignment, volume spike confirmation, and RSI/Stochastic RSI momentum. When your threshold is met (default: 5/7), a signal fires with automatic ATR-based risk levels. The 7 Criteria 2HR EMA Bias — Higher-timeframe directional confirmation EMA 9/21 Slope — Local momentum on your chart Supertrend — Trend-following filter BB Band Touch — Reversal or bounce setup VWAP Side — Volume-weighted price alignment Vol Spike + OBV — Conviction confirmation RSI / Stoch RSI — Momentum without overbought/oversold extremes Visual Signals Full arrows (▲/▼) = Signal fired, ready to enter Dimmer dots = Watch mode, one criterion away Green/red volume backgrounds = Directional volume spike Orange backgrounds = RSI in extreme zone, use caution Auto-drawn SL/TP lines = ATR-based risk/reward Real-Time Dashboard Live text display shows current score, bias direction, all 7 criteria status, MTF context (1H/4H EMA), and entry/SL/TP levels. Customizable Adjust min score threshold, EMA lengths, Supertrend factor, Bollinger Band sensitivity, volume spike multiplier, and RSI parameters. Three trading style presets included. Best For Day traders and swing traders on BTCUSDT 15m charts seeking entries with 2–3x risk:reward and 55%+ win rate. Paper Trade First Run in paper trading mode for 10–15 signal cycles before live trading. Always confirm signals visually on the chart. Character count: ~1,100 (fits TradingView's description limit) Feel free to trim or adjust tone based on your publishing style.
Indicador Pine Script®
por Todrock
1