开始

Vwapbands

AG Pro Session VWAP Reaction Engine [AGPro Series]AG Pro Session VWAP Reaction Engine OVERVIEW / WHAT IT DOES AG Pro Session VWAP Reaction Engine is a session-referenced intraday overlay built to study how price behaves around a selected session VWAP. Instead of treating VWAP as a generic reference line, this script organizes reaction behavior into a cleaner visual structure so users can evaluate where the selected session VWAP was defended, reclaimed, rejected, or used as a reaction area. This first public release focuses on a single task: mapping reaction structure around one selected session context. The script can be used to observe how price interacts with the selected session VWAP through reclaim, reject, and bounce behavior while preserving a chart-first presentation. The goal is not to turn VWAP into a large dashboard or a multi-anchor framework. The goal is to keep the analysis concentrated, readable, and visually structured. The script is designed for users who want a more physical and chart-oriented way to read session VWAP interaction. To support that, the overlay uses a compact panel, session-aware context, right-edge line identity, and reaction zones that keep attention on the most relevant recent structure instead of turning the chart into a dense information layer. This is a first-release V1.0 build. The emphasis is on clarity, reaction mapping, and controlled visual hierarchy rather than excessive feature count. The script is intended to remain practical, interpretable, and easy to integrate into an existing chart workflow. UNIQUE EDGE The main difference here is that this script is session-referenced first and reaction-structured second. It does not attempt to be an anchored VWAP event tool, a multi-VWAP cluster tool, or a broad scoring dashboard. Its job is narrower: it focuses on how one selected session VWAP is being used by price and how that behavior can be visualized in a more organized way. That distinction matters. Many VWAP tools show a line, a few crosses, and some generic labels. This script instead tries to build a compact reaction map around the selected session context. The session box, reaction corridor, reaction zones, active event labeling, and compact bias panel are all there to help the user understand not only where VWAP is located, but how price is responding to it. Another differentiator is that the script does not try to solve every VWAP use case at once. It is not built as a universal anchor selector, not built as a full acceptance auction model, and not built as a prediction engine. By staying narrow, it becomes easier to read and easier to use in intraday workflows where visual speed matters. METHODOLOGY The script begins with a selected session. Users can choose from predefined session types such as Asia, London, New York, or a custom session definition. From that chosen session context, the script calculates a session VWAP and then evaluates how price interacts with that reference during and around the selected session window. After the session VWAP is established, the engine classifies reaction behavior into a limited set of structural outcomes. The intent is to keep the output readable. Rather than producing a large number of overlapping states, the script focuses on three main reaction families: reclaim, reject, and bounce. These reactions are then reflected through event zones, corridor behavior, active labels, and summary panel states. The reaction corridor is used as a controlled visual area around the session VWAP so that interaction with the reference line is easier to interpret. The confirmed reaction zone highlights the area where the latest accepted interaction took place. Ghost or faded structures may remain visible in order to preserve recent context, but older resolved structures are pushed into the background so that the chart remains focused on the latest meaningful event. The compact panel summarizes the selected session, the current session status, the bias interpretation, the latest confirmed reaction, the age of the latest signal, the current reaction state, and the latest session VWAP identity. This is meant to provide quick context without replacing direct chart reading. SIGNALS & ALERTS The script is built around confirmed reaction logic. It is designed to label and summarize structured VWAP behavior rather than to fire on every touch or cross. In practice, the main behaviors to monitor are: • VWAP RECLAIM A reclaim condition is used when price recovers or reclaims the selected session VWAP with enough structural support to avoid treating every simple cross as meaningful. • VWAP REJECT A reject condition is used when price interacts with the selected session VWAP but fails to accept beyond it and instead shows rejection behavior. • VWAP BOUNCE A bounce condition is used when price responds to the selected session VWAP as a reaction point and moves away from it without needing a full reclaim-style transition. The alert framework is intended to reflect confirmed reaction events rather than raw line interaction. This makes the script more suitable for organized chart monitoring and less dependent on constant manual interpretation of every small VWAP touch. KEY INPUTS Selected Session Defines which session context the engine should use as the active VWAP reference. Custom Session Allows a user-defined session window when custom session mode is preferred. Reaction Confirmation Controls These inputs determine how strict the engine should be before marking reclaim or related reaction behavior as valid. Reaction Corridor / Zone Controls These settings affect how the corridor and reaction structures are displayed on the chart. Visual Density / Focus Controls These settings help users keep the chart clean by emphasizing the active structure while fading less relevant historical context. Panel And Label Controls These inputs control presentation and readability so the tool can fit different chart styles without becoming visually dominant. LIMITATIONS & TRANSPARENCY This script is an interpretation tool, not a certainty tool. It organizes session VWAP behavior into a structured overlay, but it does not know future market direction and it does not guarantee continuation, rejection, acceptance, or reversal after any labeled event. The script is session-dependent by design. Its usefulness depends on the selected session, the traded instrument, the timeframe, and the quality of the underlying session behavior. Some symbols respond cleanly to session VWAP structure, while others may produce less reliable or less visually consistent reaction patterns. Because the engine is intentionally selective, not every interaction with session VWAP will be labeled. That is a design choice. The script prioritizes cleaner structural interpretation over maximum signal frequency. Users should also understand that visual zones and bias states are simplifications of price behavior rather than complete models of market structure. This script should not be interpreted as an automated decision system, a forecasting tool, or a substitute for broader context. It does not incorporate every market variable, and it should be evaluated together with timeframe context, liquidity conditions, volatility regime, and the user’s own process. RISK DISCLOSURE This script is provided for chart analysis and educational use. It is not financial advice. It does not provide guaranteed entries, guaranteed exits, guaranteed risk control, or guaranteed trade outcomes. Any indicator or overlay can produce false positives, late confirmations, or context-dependent signals. Session VWAP behavior can change across market regimes, symbols, and volatility conditions. Users are responsible for their own decision-making, risk management, and trade execution. Nothing in this script should be treated as a promise of performance. It is a structured visual tool designed to help organize one specific area of chart analysis: reaction behavior around a selected session VWAP.
Pine Script®指标
由AGProLabs提供
2
Volatility Squeeze Oscillator [JOAT]Volatility Squeeze Oscillator Introduction Volatility does not move randomly. It compresses, coils, and then releases — and the magnitude of the release is frequently proportional to the depth and duration of the compression. This relationship between volatility contraction and subsequent expansion is one of the most durable patterns in market behavior across all asset classes and timeframes. The Volatility Squeeze Oscillator is built to quantify this relationship with precision, using a multi-layered analysis framework that goes well beyond standard squeeze detection. At its core, the indicator uses an ATR compression ratio engine to measure the difference between a short-term and long-term ATR. When the short-term ATR is smaller than the long-term ATR, volatility is contracting — the market is coiling. When the short-term ATR expands beyond the long-term reference, the coil is releasing. This compression differential is normalized against the high-low range, making the oscillator comparable across different instruments and volatility regimes. Three additional analytical layers are stacked on top of the compression engine. A cumulative delta proxy estimates buying versus selling pressure within each bar using range-based calculations — no Level 2 or order flow data required. A volume RSI module measures whether the current volume is elevated relative to its own history, providing a confluence filter that separates high-conviction from low-conviction squeeze releases. And a statistical deviation band system built on a 200-bar lookback marks the historically significant boundaries of the squeeze oscillator's own distribution, so traders can identify not just whether a squeeze is forming, but how extreme it is relative to its own history. Core Concepts 1. ATR Compression Ratio Engine The compression ratio is derived from two ATR calculations at different smoothing periods. Both use EMA smoothing rather than RMA (Wilder's method) to produce a more responsive and visually cleaner oscillator. The short-term ATR reflects current volatility conditions. The long-term ATR (calculated at double the base period) establishes the reference level representing the recent historical norm. The difference between these two — long minus short — is the squeeze value: positive when the market is contracting (short ATR below long-term baseline), negative when expanding. trueRange = ta.tr(true) atrShort = ta.ema(trueRange, len) atrLong = ta.ema(atrShort, len * 2) sqzRaw = atrLong - atrShort hlRange = ta.highest(high, len) - ta.lowest(low, len) sqzVal = hlRange > 0 ? sqzRaw / hlRange : 0 Normalizing by the HL range makes the oscillator dimensionless — a squeeze value of 0.3 carries the same meaning whether you are analyzing a $1 stock or a $50,000 Bitcoin contract. The signal line is an EMA of the squeeze value, used to detect the inflection point where the squeeze begins to build (sqzVal crossing above sqzSig) or release (sqzVal crossing below sqzSig). 2. Hyper-Squeeze Detection A hyper-squeeze occurs when the squeeze value is not merely positive (compressing) but is actively rising for N consecutive bars — indicating an accelerating contraction rather than a stable one. Accelerating compression is particularly significant because it suggests market participants are increasingly reducing their activity, creating a coiled spring effect where the eventual release may be more forceful. hyperSqz = sqzVal > 0 and ta.rising(sqzVal, hyperLen) When a hyper-squeeze is active, a violet tint is overlaid on the oscillator background in addition to the regular delta-driven background color. The dashboard updates the hyper squeeze row to ACTIVE status. This dual visual layer makes extended compression phases immediately distinguishable from ordinary positive squeeze readings. 3. Cumulative Delta Proxy Order flow analysis — understanding whether buyers or sellers are dominant within a given period — typically requires tick-level data or exchange-provided volume breakdown. This indicator constructs a proxy for cumulative delta using bar-level range analysis, making the information accessible without any data feed requirements. barRange = high - low bullPress = barRange > 0 ? (close - low) / barRange : 0.5 bearPress = barRange > 0 ? (high - close) / barRange : 0.5 deltaBar = bullPress - bearPress deltaSma = ta.sma(deltaBar, deltaLen) deltaPos = deltaSma > 0 A close near the high of the bar implies buyers dominated (bull pressure near 1.0). A close near the low implies sellers dominated (bear pressure near 1.0). The difference, smoothed over a configurable window, produces a normalized delta reading. When delta is positive during a squeeze, the compressed volatility is accumulating with a bullish lean. When negative, with a bearish lean. This directional information is used both in the histogram coloring (alpha derived from delta conviction) and in dashboard output. 4. Volume RSI Confluence Volume RSI applies the standard RSI momentum formula to the volume series rather than price. This produces a normalized reading of whether current volume is elevated or depressed relative to its recent distribution. A high volume RSI (default threshold: 65) during a squeeze release indicates that the expansion is occurring on above-average participation — a meaningful distinction from low-volume releases that can quickly reverse. volRsi = ta.rsi(volume, 14) highVol = volRsi > volThresh The volume RSI value and status are displayed in the dashboard. Alert conditions include a "high-volume release" alert specifically when both a squeeze release signal and elevated volume RSI occur simultaneously, providing a higher-conviction composite signal. 5. Statistical Deviation Bands Rather than using fixed threshold lines at arbitrary values, the oscillator's own distribution is analyzed statistically using a 200-bar lookback. The mean and one and two standard deviation levels of the squeeze value over this window establish dynamically updating bands. These bands are filled with a gradient and rendered at adaptive transparency based on the current Z-score — as the oscillator approaches the 2σ band, the fill becomes more opaque, visually emphasizing extreme readings. sqzMean = ta.sma(sqzVal, statLen) sqzStd = ta.stdev(sqzVal, statLen) band1Up = sqzMean + sqzStd band2Up = sqzMean + 2 * sqzStd band1Dn = sqzMean - sqzStd band2Dn = sqzMean - 2 * sqzStd zScore = sqzStd > 0 ? (sqzVal - sqzMean) / sqzStd : 0 A squeeze reading above the 2σ upper band is historically anomalous compression — significantly above what has been typical over the prior 200 bars. Such readings often precede the most explosive release moves. 6. Histogram Coloring and Background Rendering The histogram bar colors encode two simultaneous dimensions. The base color is red when the squeeze is building (sqzVal above sqzSig) and teal when releasing (sqzVal below sqzSig). The alpha channel of each bar is modulated by the absolute value of the delta conviction — high delta conviction produces more saturated colors, while low-conviction delta (price closing near the bar midpoint) produces more transparent bars. The background color is a 93% alpha gradient driven entirely by delta: teal for bullish delta, red for bearish delta, with the hyper-squeeze violet tint layered on top when active. Features ATR Compression Ratio Engine: Measures the difference between short-term and long-term EMA-smoothed ATR, normalized by HL range for cross-instrument comparability. Signal Line: EMA of the squeeze value provides the crossover reference for detecting compression buildup and release initiation. Hyper-Squeeze Detection: Identifies accelerating compression phases where the squeeze is rising for N consecutive bars simultaneously. Cumulative Delta Proxy: Bar-range-based buying and selling pressure estimate, smoothed and normalized, requiring no Level 2 data. Volume RSI Confluence: RSI applied to volume series identifies above-average participation, separating high-conviction releases from low-volume ones. Statistical Deviation Bands: 200-bar mean and sigma levels with gradient fill and adaptive transparency based on Z-score position. Delta-Driven Alpha Histogram: Histogram color and opacity encode both squeeze direction and delta conviction simultaneously. Layered Background Coloring: Delta-based background with hyper-squeeze overlay provides immediate pane-level context without requiring close inspection. Signal Markers: Circle markers at oscillator bottom on squeeze cross and release cross events. Seven-Row Dashboard: Real-time status covering state, hyper squeeze, volume RSI, delta bias, Z-score, and squeeze value. Four Alert Conditions: Squeeze building, release detected, hyper squeeze active, and high-volume release composite signal. Input Parameters ATR Settings: Base Length: Period for short-term ATR EMA and HL range lookback (default: 20) Hyper-Squeeze Settings: Hyper Squeeze Consecutive Bars: Number of consecutive rising bars required for hyper-squeeze (default: 3) Delta Settings: Delta Smoothing Window: SMA period for the delta bar average (default: 10) Volume RSI Settings: Volume RSI Period: RSI lookback applied to volume series (default: 14) Volume RSI Threshold: Level above which volume is considered elevated (default: 65) Statistical Bands Settings: Statistical Lookback: Bar count for mean and standard deviation computation (default: 200) Show Bands: Toggle deviation band fills (default: true) Display Settings: Show Background: Toggle delta and hyper-squeeze background coloring (default: true) Show Signal Markers: Toggle circle markers at squeeze and release crosses (default: true) Show Dashboard: Toggle the seven-row information table (default: true) How to Use This Indicator Step 1: Monitor the Squeeze State The primary read from this oscillator is the current state displayed in the dashboard: SQUEEZING, RELAXING, or EXPANDING. Squeezing means the compression ratio is positive and rising — the market is actively coiling. Relaxing means the compression is positive but flattening or declining — the coil is beginning to unwind. Expanding means the oscillator has gone negative — volatility is actively expanding beyond the historical baseline. The transition from SQUEEZING to RELAXING is the early warning signal; the transition to EXPANDING is confirmation that the release has begun. Step 2: Watch for Hyper-Squeeze Conditions When the dashboard shows HYPER SQUEEZE: ACTIVE and the chart shows the violet tint overlay, the compression is accelerating — each bar the market is coiling tighter. These conditions historically precede more forceful releases. In hyper-squeeze conditions, position sizing on the anticipated breakout can be considered carefully, as the magnitude of the release may be larger than during ordinary squeeze exits. Step 3: Check Delta Bias for Directional Lean Before committing to a directional bias, check the delta row in the dashboard. Positive delta (bullish) during a squeeze indicates that even during compression, buyers have been closing bars near the upper portion of their range — a bullish accumulation signature. Negative delta (bearish) suggests the opposite. Delta bias does not guarantee direction, but it provides a useful lean when combined with the squeeze release signal. Step 4: Require Volume RSI Confluence on Release Not all squeeze releases produce sustained moves. Low-volume releases frequently reverse within a few bars. The "High-Volume Release" alert fires only when both a release cross and elevated volume RSI (above threshold) occur simultaneously. Waiting for this composite signal before acting on a release — rather than responding to the release cross alone — filters out a meaningful number of false expansion signals in low-participation environments. Indicator Limitations The ATR compression ratio measures relative volatility contraction but cannot determine the direction of the eventual breakout. This indicator identifies when a release is likely, not which way price will move. Directional analysis must come from structure, trend, or other contextual tools. The delta proxy is a bar-level approximation of order flow. It does not access actual tick data, order book data, or trade-level information. In markets with high-frequency activity, the close-to-high/low ratio can systematically misrepresent actual buying and selling pressure. The statistical deviation bands require 200 bars to be fully seeded. On instruments or timeframes with limited history, or immediately after loading a new chart, the bands may produce unreliable readings until sufficient data is available. Volume RSI confluence is not applicable to instruments where volume data is unreliable, unavailable, or represents synthetic aggregation (some forex pairs, certain CFDs). In these cases, the volume RSI row should be treated as informational only. The hyper-squeeze condition measures consecutive rising bars in the squeeze value. This makes it sensitive to the base period setting — shorter periods produce more variable squeeze values, leading to more frequent interruptions of the consecutive count. This indicator operates entirely on the chart's native timeframe. It does not incorporate multi-timeframe squeeze data — a squeeze on a 15-minute chart may be occurring within the context of a much larger timeframe expansion that this indicator would not reflect. Originality Statement The Volatility Squeeze Oscillator is a purpose-built analytical instrument that combines techniques not previously assembled in this specific architecture. The ATR compression ratio engine — using EMA-smoothed ATR at the base period versus double the base period, normalized by the HL range — is an original squeeze quantification method. It differs from the widely used Lazybear TTM Squeeze (which measures Bollinger Band width versus Keltner Channel width) by operating entirely within the ATR framework with range normalization. The hyper-squeeze detection via ta.rising() on the already-positive squeeze value identifies accelerating compression as a distinct state separate from ordinary compression, a categorization not found in standard squeeze implementations. The cumulative delta proxy using bar-range ratios (close minus low divided by range for bull pressure; high minus close divided by range for bear pressure), smoothed and normalized, provides order-flow-inspired information without any data dependency beyond OHLC — an original application of range analysis. The integration of volume RSI as a confluence gate within the squeeze oscillator framework — not as a separate indicator but as an internal filter with dedicated dashboard output and composite alert conditions — is an original design choice. The statistical deviation band system applied to the squeeze oscillator's own values (using a 200-bar SMA and StDev of the squeeze value itself) to create adaptive significance thresholds is an original meta-statistical layer not found in comparable oscillators. Disclaimer The Volatility Squeeze Oscillator is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Identifying squeeze conditions does not predict the direction or magnitude of subsequent price moves with any certainty. All trading involves risk of loss. Users are solely responsible for their own trading decisions. Please consider your individual risk tolerance and consult a licensed financial professional before engaging in any trading activity. -Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Regime & Structure Engine [JOAT]Regime & Structure Engine Introduction Markets do not move randomly — they cycle through defined behavioral states: trending phases where momentum compounds in one direction, and ranging phases where price consolidates before the next impulse. Identifying which state the market is currently in, and detecting when structural breaks signal a transition, is fundamental to any disciplined trading approach. The Regime & Structure Engine is built around that single core principle: before anything else, know your regime. This indicator unifies three distinct analytical layers into a single overlay system. The first layer is the Hull-EMA Hybrid (HEMA), a custom moving average that resolves the trade-off between smoothness and responsiveness by combining double-weighted EMA calculation with a square-root length final smoothing. The second layer is a three-state confirmed regime engine that uses the relative alignment of three HEMA periods to classify market condition as bull, bear, or neutral — with a mandatory two-bar confirmation to eliminate false transitions. The third layer is a market structure engine based on classical swing pivot logic, capable of identifying Break of Structure (BOS) and Change of Character (CHoCH) events that signal genuine momentum shifts. All of this is augmented by a Z-score cumulative impulse detector that quantifies the statistical significance of directional momentum streaks, a trend cloud that visually represents regime state through gradient fills, proximity-based bar coloring that encodes distance from the HEMA mid-layer, a configurable alert system, and a compact six-row dashboard. Every signal in this indicator is anchored to confirmed bars only, eliminating any look-ahead repainting. Core Concepts 1. Hull-EMA Hybrid (HEMA) Moving Average The foundational calculation of this indicator is the HEMA — a three-step smoothing function that delivers both noise reduction and lag compensation. A standard EMA applies uniform smoothing that creates meaningful lag on higher periods. Hull Moving Averages address lag through weighted differencing but can produce jagged outputs. The HEMA bridges this by constructing the Hull-style weighted difference first, then applying a square-root-period EMA as the final smoother. f_hema(src, len) => ta.ema(2 * ta.ema(src, len / 2) - ta.ema(src, len), math.round(math.sqrt(len))) Three instances are calculated at lengths 20, 50, and 100, producing a fast, slow, and macro trend layer respectively. The fast layer reacts to short-term price action, the slow layer represents the primary trend, and the macro layer anchors the broader structural bias. When all three are aligned in sequence (fast above slow above macro, or inverse), the trend is considered directionally clean. 2. Three-State Confirmed Regime Engine Regime classification is determined by the ordinal alignment of all three HEMA layers. A raw bull signal requires hema1 greater than hema2, which must in turn be greater than hema3. The inverse defines raw bear. Any other arrangement is classified as neutral. To prevent rapid regime flipping on borderline conditions, a two-bar confirmation requirement is enforced: the raw signal must hold for at least two consecutive bars before the confirmed regime variable updates. rawBull = hema1 > hema2 and hema2 > hema3 rawBear = hema1 < hema2 and hema2 < hema3 var int confirmCount = 0 var int confirmedRegime = 0 if rawBull confirmCount := confirmCount + 1 else if rawBear confirmCount := confirmCount - 1 else confirmCount := 0 confirmedRegime := confirmCount >= 2 ? 1 : confirmCount <= -2 ? -1 : 0 This confirmation mechanism is critical in volatile markets where HEMA layers can briefly reorder on a single candle only to revert immediately. The two-bar requirement sacrifices minimal reaction speed in exchange for a meaningful reduction in false regime transitions. 3. Z-Score Cumulative Impulse Detection Regime direction tells you the structural bias. The Z-score impulse system tells you when that bias is being expressed with statistical force. Rather than measuring a single bar's momentum, this system accumulates consecutive directional closes into a running streak — a cumulative bull or bear pressure counter — then normalizes that streak against its own historical mean and standard deviation. cumBull = close > close ? nz(cumBull ) + (close - close ) : 0 cumBear = close < close ? nz(cumBear ) + (close - close) : 0 zBull = (cumBull - ta.sma(cumBull, zLen)) / ta.stdev(cumBull, zLen) zBear = (cumBear - ta.sma(cumBear, zLen)) / ta.stdev(cumBear, zLen) impulseUp = ta.crossover(zBull, zThresh) and barstate.isconfirmed impulseDn = ta.crossover(zBear, zThresh) and barstate.isconfirmed An impulse fires when the Z-score exceeds the user-defined threshold (default: 2.0 sigma). This ensures that only statistically unusual momentum streaks generate signals, filtering out the ordinary ebb and flow of price during low-conviction moves. 4. BOS and CHoCH Market Structure Market structure tracking is built on classical pivot high/low detection using Pine Script's built-in ta.pivothigh and ta.pivotlow functions. A Break of Structure (BOS) occurs when price closes or wicks beyond the most recent swing high (bullish BOS) or swing low (bearish BOS). A Change of Character (CHoCH) is a BOS that opposes the direction of the prior BOS — indicating a potential regime reversal rather than continuation. swingHigh = ta.pivothigh(high, swingLen, swingLen) swingLow = ta.pivotlow(low, swingLen, swingLen) lastSwingHigh = ta.valuewhen(not na(swingHigh), swingHigh, 0) lastSwingLow = ta.valuewhen(not na(swingLow), swingLow, 0) bosUp = barstate.isconfirmed and ta.crossover(close, lastSwingHigh) bosDn = barstate.isconfirmed and ta.crossunder(close, lastSwingLow) chochUp = bosUp and lastBOSDir == -1 chochDn = bosDn and lastBOSDir == 1 CHoCH events are particularly significant because they represent the market's first structural evidence of a trend change — not merely a continuation of prior momentum. Distinguishing BOS from CHoCH allows traders to calibrate their response: a BOS in trend direction is a continuation entry opportunity, while a CHoCH warrants reassessment of existing positions. 5. Trend Cloud and Proximity Bar Coloring The trend cloud fills the space between the HEMA fast and slow layers. The fill color matches the confirmed regime — teal for bull, red for bear, gray for neutral — creating an immediate visual encoding of market state across the chart. Bar coloring is driven by a normalized proximity calculation using the 14-period ATR as a reference distance. normProx = math.abs(close - hema2) / (atr14 * 3) barAlpha = math.min(math.round(normProx * 200), 200) Bars that are far from the HEMA slow layer receive more saturated coloring, while bars trading near the HEMA mid-line are rendered at reduced opacity. This creates an intuitive gradient where extreme dislocations are visually prominent. Features HEMA Triple Layer: Three independent Hull-EMA Hybrid instances at periods 20, 50, and 100 provide fast, primary, and macro trend context simultaneously. Confirmed Regime State: Two-bar confirmation gate prevents false regime transitions on temporary HEMA crossovers, reducing noise on volatile instruments. BOS Detection: Swing-based Break of Structure signals on both bullish and bearish side, drawn at confirmed bars only with no look-ahead. CHoCH Detection: Change of Character identification when BOS direction opposes the prior structural break, highlighting potential trend reversal zones. Z-Score Impulse: Statistically normalized cumulative momentum streaks that fire signals only when directional pressure reaches a configurable sigma threshold. Gradient Trend Cloud: Dynamic fill between HEMA layers color-coded by regime for instant visual orientation on any timeframe. Proximity Bar Coloring: ATR-normalized distance from HEMA mid controls bar color alpha, making dislocations visually distinct. Six-Row Dashboard: Compact table displaying regime, last BOS direction, bull Z-score, bear Z-score, and HEMA layer alignment. No Repainting: All signals gated behind barstate.isconfirmed — no signals are printed on unfinished bars. Full Alert Coverage: Seven alert conditions covering BOS, CHoCH, impulse, and regime flip events. Input Parameters HEMA Settings: Fast Length: Period for the HEMA fast layer (default: 20) Slow Length: Period for the HEMA slow layer (default: 50) Macro Length: Period for the HEMA macro layer (default: 100) Source: Price source for all HEMA calculations (default: close) Regime Settings: Confirmation Bars: Number of consecutive bars required to confirm a regime change (default: 2) Structure Settings: Swing Length: Pivot lookback for swing high/low detection (default: 10) Show BOS Labels: Toggle BOS annotation labels on the chart (default: true) Show CHoCH Labels: Toggle CHoCH annotation labels on the chart (default: true) Z-Score Settings: Z Lookback: Rolling window for Z-score mean and standard deviation (default: 50) Z Threshold: Sigma level required to fire an impulse signal (default: 2.0) Display Settings: Show Trend Cloud: Toggle the gradient fill between HEMA layers (default: true) Show Bar Colors: Toggle proximity-based bar coloring (default: true) Show Dashboard: Toggle the six-row information table (default: true) How to Use This Indicator Step 1: Establish Regime Context Before analyzing any signal, check the dashboard and the trend cloud to identify the confirmed regime. A bull regime (all three HEMA layers in ascending order with a teal cloud) means the structural bias favors long positions. A bear regime (descending alignment with a red cloud) favors shorts. A neutral regime suggests consolidation — reduce position sizing or stand aside. The regime confirmation requirement means the dashboard will update one to two bars after alignment begins, giving you a cleaner entry rather than reacting to the first crossover. Step 2: Wait for Structure to Break Within the context of the confirmed regime, watch for BOS events in the trend direction. A bullish BOS during a bull regime is a continuation structure signal — it means price has broken above a prior swing high, suggesting the up-trend is extending. A bearish BOS during a bull regime, especially if classified as a CHoCH, is your first warning that the structure may be shifting. Use the BOS labels on the chart to track the sequence of structural breaks over time. Step 3: Confirm with Z-Score Impulse A BOS or CHoCH becomes significantly more actionable when accompanied by a Z-score impulse signal in the same direction. When the cumulative bull streak normalized to 2+ sigma fires at the same time as or immediately following a bullish BOS, the move is backed by sustained directional momentum — not a single large candle. When regime, structure, and impulse all align, the signal quality is at its highest. Step 4: Manage Position with HEMA Proximity Once in a position, the proximity bar coloring helps manage exits. Bars that are far from HEMA mid (highly saturated) represent extended conditions — areas where mean reversion risk is elevated. Bars near HEMA mid are in equilibrium. Exits on strength (closing during a high-saturation bullish bar after a BOS continuation trade) allow for locking in gains at points of extension rather than waiting for a reversal to develop. Indicator Limitations The two-bar regime confirmation introduces a brief delay relative to the actual HEMA crossover. On fast-moving instruments, this can mean a slightly later entry but provides meaningful protection against false transitions. BOS detection is based on prior swing highs and lows defined by the swing length parameter. On very low swing length settings, minor highs and lows will be used as structure levels, potentially generating frequent BOS events of less structural significance. Z-score impulse requires a sufficient lookback to establish a stable mean and standard deviation for the cumulative streak. In the first Z-lookback bars of any chart, signals may be less statistically reliable as the normalization period is not fully seeded. The HEMA and all derivative signals are calculated on the chart's native timeframe. This indicator does not internally pull higher timeframe data — users who want multi-timeframe regime context should reference signals from higher timeframe chart instances. Like all trend-following tools, this indicator will produce whipsaw signals in choppy, range-bound markets where neither bulls nor bears sustain momentum long enough to trigger clean regime confirmation. Proximity bar coloring uses ATR as a normalizer. During volatility regime shifts (e.g., sudden spike in ATR), the alpha thresholds may temporarily misrepresent proximity distance. Originality Statement The Regime & Structure Engine is not a repackaging of any single existing indicator. It is a purpose-built synthesis of methodologies that individually exist in various forms but have not been combined in this specific architecture. The HEMA function (Hull-inspired double-weighted EMA followed by square-root-period smoothing) is a custom construction that differs from both standard HMA and standard EMA in its layering approach and final smoothing step. The three-state confirmed regime engine with mandatory multi-bar confirmation is an original state machine design. Most indicators display regime as a simple crossover condition; this system enforces a holding period before state transition. The Z-score cumulative impulse system measures the statistical significance of a directional streak rather than the magnitude of a single bar move. This normalization approach — accumulating consecutive closes and comparing against rolling sma/stdev — is not a standard oscillator pattern. The combination of HEMA-based regime with classical BOS/CHoCH structural analysis on top of Z-score momentum creates a three-dimensional signal framework that no single publicly available indicator replicates. The proximity bar coloring system using ATR-normalized distance to the HEMA mid layer as the alpha channel driver is an original visual encoding not found in standard bar coloring implementations. Disclaimer The Regime & Structure Engine is provided for educational and informational purposes only. It is a technical analysis tool and does not constitute financial advice. Past behavior of price relative to indicator signals does not guarantee future results. All trading involves risk, including the potential loss of principal. Users are solely responsible for their own trading decisions. Always conduct your own due diligence and consider consulting a licensed financial professional before making any investment decisions. -Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Tactical Deviation MiniTactical Deviation Mini is an overlay indicator that shows up to three independent higher-timeframe VWAPs on one chart—1-hour, 4-hour, and 8-hour—each with 1σ, 2σ, and 3σ standard-deviation bands. By default, only the 4-hour VWAP and its bands are enabled; 1H and 8H are optional toggles. This keeps the chart readable while still letting you stack contexts when you want them. Why it is useful Many traders watch where price sits relative to VWAP and to volatility-sized bands across intraday structure. This script puts those references on the same pane as your execution timeframe, so you can compare alignment across 1H / 4H / 8H without switching charts. Optional band fills separate the 1σ–2σ and 2σ–3σ zones. An optional table summarizes sigma distance from VWAP (per enabled timeframe) and RSI(14) on the current bar for quick context. How it works (concepts) For each enabled timeframe, the script maintains a running volume-weighted mean of hlc3 and a running volume-weighted second moment so it can derive population-style variance and standard deviation on the fly. When a new bar opens on that higher timeframe, the cumulative sums reset, so each VWAP is anchored to that higher timeframe’s bar sequence (not to the chart’s session template unless your symbol’s bars happen to match that). Band width is standard deviation × your chosen multipliers (defaults 1, 2, 3). Optional “dynamic” mode When enabled, the script scales the deviation multipliers using recent volatility (ATR relative to price) so bands can widen in more volatile conditions and narrow in calmer ones. This is a heuristic adjustment, not a guarantee of any particular risk or outcome. How to use it Enable the timeframe(s) you want under Timeframe Selection. Adjust σ multipliers if you want tighter or wider bands. Toggle Show Deviation Clouds and opacity if you want filled zones. Use Colors to separate 1H / 4H / 8H visually. Read the table (if visible) for σ from VWAP and RSI; treat these as context, not instructions. What this script does not do It does not plot buy/sell markers, strategy orders, or alerts. It does not rank setups, predict direction, or estimate profitability. Past or hypothetical behavior of VWAP or bands does not imply future results. Limitations and honesty VWAP and σ bands depend on volume and bar data available on your symbol and timeframe. On some instruments or sessions, volume or bar construction may differ from what you expect, which affects VWAP and bands. RSI in the table is a standard momentum oscillator shown for reference only. Disclaimer This tool is for informational and educational purposes only and is not investment, tax, or trading advice. You are responsible for how you use any charting tool. No warranty is made as to accuracy, fitness, or results.
Pine Script®指标
由RickyTSpanish提供
VWAP Volatility Bands [BOSWaves]VWAP Volatility Bands - T3-Smoothed VWAP System with Dynamically Scaled Volatility Bands Overview VWAP Volatility Bands is a tension-aware trend following system that anchors directional bias to a T3-smoothed Volume Weighted Average Price, where volatility bands dynamically scale with to reflect real market conditions and automatically generate directional signals when price interacts with band extremes. Instead of relying on raw VWAP lines or static envelope channels, trend state, band visibility, and signal generation are determined through T3-smoothed VWAP direction, ATR-normalized band construction, and score-based logic that surfaces only the most relevant visual context for the current trend. This creates dynamic volatility boundaries that reflect actual price tension relative to the volume-weighted mean rather than arbitrary fixed offsets - compressing during low-volatility conditions, expanding during high-volatility periods, and capturing overextension signals at band extremes where price demonstrates significant deviation from fair value. Price is therefore evaluated relative to bands that adapt to volatility dynamics and volume-weighted equilibrium rather than conventional price-only moving averages. Conceptual Framework VWAP Volatility Bands is founded on the principle that meaningful trend signals emerge when price maintains position relative to a T3-smoothed VWAP that filters short-term noise, while significant overextension zones form at ATR-scaled distances that reflect genuine volatility rather than static multipliers. Traditional VWAP approaches plot raw cumulative values without smoothing, making them reactive to short-term volume spikes and difficult to read in trend context. This framework replaces raw VWAP plotting as the primary reference with T3-smoothed VWAP direction, using the raw line only as an optional secondary reference for confluence. Three core principles guide the design: Trend direction should be determined by the slope of T3-smoothed VWAP, filtering noise inherent in raw cumulative VWAP readings. Volatility bands should scale dynamically with ATR, ensuring band distances represent statistically meaningful deviations across varying market conditions. Only directionally relevant bands should be displayed at any time - bullish bands below during uptrends, bearish bands above during downtrends - reducing visual noise and reinforcing directional context. This shifts VWAP analysis from a single reference line into a full tension-aware volatility framework with intelligent band management. Theoretical Foundation The indicator combines anchored VWAP accumulation, T3 exponential smoothing, Average True Range volatility measurement, slope-based score logic, and overextension signal detection methodology. A user-configurable VWAP anchor (Session, Week, Month) provides the volume-weighted price reference that resets at meaningful market boundaries, while T3 smoothing applies a six-stage EMA cascade with configurable volume factor to eliminate noise without introducing excessive lag. ATR measurement provides volatility-normalized scaling for band construction. Score logic encodes T3 slope direction into a persistent state that governs band visibility and bar coloring. Four internal systems operate in tandem: VWAP Accumulation Engine : Computes cumulative volume-weighted typical price across the selected anchor period, resetting at session, weekly, or monthly boundaries. T3 Smoothing System : Applies six-stage EMA cascade with configurable length and volume factor to produce a smooth, low-lag trend baseline from raw VWAP. ATR Band Construction : Scales four band pairs above and below T3 baseline using fixed ATR multipliers (0.5, 1.0, 1.5, 2.2) to define volatility zones of increasing significance. Score and Signal Engine : Tracks T3 slope direction as a persistent score state, governs which band set is displayed, generates entry diamonds at slope changes, and fires TP signals at band extreme crossovers. This design allows volatility boundaries to reflect actual market tension relative to volume-weighted fair value rather than reacting mechanically to price-only calculations. How It Works VWAP Volatility Bands evaluates price through a sequence of volume-weighted, tension-aware processes: Anchor Reset Detection : System identifies session, weekly, or monthly boundaries and resets cumulative volume and volume-weighted price accumulators accordingly. VWAP Accumulation : Typical price multiplied by volume accumulates alongside raw volume across the anchor period, producing a continuously updating raw VWAP value. T3 Smoothing : Raw VWAP passes through a six-EMA T3 cascade using configurable length and factor parameters, producing a smooth directional baseline. ATR Calculation : 14-period ATR provides volatility-normalized distance measurement for all band construction. Band Calculation : Four upper and four lower bands are computed at 0.5, 1.0, 1.5, and 2.2 ATR distances from the T3 baseline. Score Assignment : T3 slope is evaluated each bar; rising slope sets score to +1 (bullish), falling slope sets score to -1 (bearish), flat slope persists prior state. Directional Band Display : Score +1 renders lower bands only; score -1 renders upper bands only, ensuring only contextually relevant zones are visible. Gradient Fill Construction : Progressive opacity fills between band pairs create a visual tension gradient, with outer fill intensity scaling dynamically based on price proximity to the extreme band. Entry Signal Generation : T3 slope crossover (bullish) plots a diamond at the lower extreme band; T3 slope crossunder (bearish) plots a diamond at the upper extreme band. TP Signal Generation : Price closing beyond the outer band against the current trend direction triggers a take-profit marker, identifying overextension relative to the volatility envelope. Bar Coloring : Each bar is tinted based on trend score and distance from T3 baseline, with intensity scaling proportionally to deviation up to the outer band distance. Together, these elements form a continuously updating volatility framework anchored in volume-weighted price dynamics and ATR-normalized tension measurement. Interpretation VWAP Volatility Bands should be interpreted as volume-anchored volatility boundaries with automated overextension detection: Bullish Trend State (Green) : Established when T3-smoothed VWAP slope is rising, with lower volatility bands displayed as dynamic support zones beneath price. Bearish Trend State (Red) : Established when T3-smoothed VWAP slope is falling, with upper volatility bands displayed as dynamic resistance zones above price. Elastic Cloud : Progressive gradient fills between band pairs create a visual tension zone, with outer fill darkening as price pushes toward the extreme band. Raw VWAP Line : Optional dotted reference displaying the unsmoothed cumulative VWAP for confluence analysis against the T3 baseline. Tension Dynamics : Price operating near T3 baseline indicates low tension and equilibrium; price near outer bands (2.2 ATR) indicates high tension and potential overextension. ◆ Entry Signals : Green diamond at lower band marks T3 slope turning bullish; red diamond at upper band marks T3 slope turning bearish, indicating directional momentum shifts. ⬨ TP Signals : Take-profit markers appear when price closes beyond the outer band against the prevailing trend direction, signaling potential exhaustion and mean reversion opportunity. Colored Candles : Bar tinting reflects current trend state and distance from T3 baseline, with gray bars near the baseline and full-color bars at maximum tension distance. T3 slope direction, band interaction, and tension proximity outweigh isolated price movements when interpreting the indicator. Signal Logic & Visual Cues VWAP Volatility Bands presents three primary interaction signals: Buy Signal (◆) : Green diamond appears at the lower extreme band when T3-smoothed VWAP slope crosses upward, suggesting bullish momentum shift with lower volatility bands now acting as dynamic support structure. Sell Signal (◆) : Red diamond displays at the upper extreme band when T3-smoothed VWAP slope crosses downward, indicating bearish momentum shift with upper volatility bands now acting as dynamic resistance structure. Take Profit Signal (⬨) : Small markers appear when price crosses beyond the outer extreme band against the prevailing trend direction, identifying overextension relative to the ATR-normalized volatility envelope and suggesting potential mean reversion back toward the T3 baseline. Band gradient intensity provides continuous visual feedback on tension buildup without requiring separate oscillator panels. Alert generation covers trend state switches (bullish/bearish entry signals) and take-profit occurrences for systematic monitoring. Strategy Integration VWAP Volatility Bands fits within adaptive trend-following and volatility-envelope approaches: Band-Based Position Management : Use inner bands (0.5–1.0 ATR) as continuation zones and outer bands (1.5–2.2 ATR) as overextension warnings during active trends. TP Signal Profit-Taking : Scale out of positions when price triggers outer band TP signals, as these mark statistically significant deviation from the volume-weighted mean. T3 Baseline Re-entry : Look for re-entry opportunities when price pulls back toward T3 baseline during trending conditions without breaching trend direction. Raw VWAP Confluence : Use optional raw VWAP display alongside T3 baseline to identify alignment between smoothed and unsmoothed references as higher-confidence zones. Tension-Aware Sizing : Reduce position sizing when price operates near outer bands as overextension conditions carry elevated mean-reversion risk. Anchor Period Selection : Match VWAP anchor to trading timeframe - Session for intraday, Week for swing, Month for position trading - to ensure volume weighting reflects relevant market participation. Multi-Timeframe Confirmation : Apply higher-timeframe VWAP Volatility Bands trend state as directional filter for lower-timeframe entry precision, entering only when T3 slopes align across timeframes. Technical Implementation Details Core Engine : Anchored VWAP accumulation with configurable reset boundary (Session, Week, Month) and T3-smoothed baseline Smoothing Model : Six-stage EMA cascade (T3) with configurable length and volume factor parameters Band Model : Four ATR-scaled band pairs at fixed multipliers (0.5, 1.0, 1.5, 2.2) from T3 baseline Score System : Persistent slope-based directional state with single-bar crossover detection Visualization : Progressive gradient fills with dynamic outer opacity, directional bar coloring scaling with tension distance Signal Logic : Slope crossover entry diamonds at outer band level, outer band breach TP markers with directional filtering Performance Profile : Optimized for real-time execution across all timeframes with efficient cumulative accumulation logic Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Intraday scalping with Session anchor and responsive T3 length settings 15 - 60 min : Intraday momentum following with Session or Week anchor for balanced band behavior 4H - Daily : Swing-level trend identification with Week or Month anchor for sustained volatility context Suggested Baseline Configuration: VWAP Anchor : Session T3 Length : 28 T3 Factor : 0.7 ATR Length : 14 Show Raw VWAP : Enabled Show TP Signals : Enabled Color Bars : Enabled Bullish Color : Bright Green (#00FF44) Bearish Color : Pink-Red (#FF0066) These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, trending characteristics, and anchor period alignment with the trading timeframe, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: T3 too slow/fast : Adjust T3 Length to control smoothing speed - lower values produce a more responsive baseline with earlier slope changes, higher values create a smoother baseline with more persistent trend states. T3 too smooth/jagged : Adjust T3 Factor between 0.0 and 1.0 - higher values increase smoothness with additional lag, lower values reduce lag at the cost of more noise in the baseline. Bands too wide/narrow : Adjust ATR Length to control band scaling - lower values make bands more reactive to recent volatility, higher values produce more stable band distances. Too many TP signals : TP signals fire at the 2.2 ATR outer band by design; if frequency is excessive, consider increasing ATR Length to stabilize the outer band distance. VWAP anchor misaligned : Switch anchor period to match the dominant trading session or timeframe - Session for intraday, Week for multi-day swing, Month for longer-term positioning. Excessive bar color noise : Disable Color Bars to remove tinting and focus purely on band and signal interaction without bar-level visual feedback. Raw VWAP divergence : Large gaps between raw VWAP and T3 baseline indicate high smoothing lag; reduce T3 Length or Factor to bring baseline closer to raw VWAP in fast-moving conditions. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Trending markets with sustained directional movement away from the volume-weighted mean Instruments with consistent intraday volume profiles where VWAP anchoring provides meaningful fair value reference Momentum continuation strategies using inner bands as dynamic support/resistance during active trends Overextension identification approaches benefiting from ATR-normalized outer band signals at tension extremes Session-based trading where VWAP anchor resets align with institutional volume participation boundaries Reduced Effectiveness: Choppy, range-bound markets with frequent T3 slope reversals producing whipsaw entry signals Low-volume instruments where VWAP accumulation becomes distorted by thin participation and erratic volume spikes Pre-market or extended-hours sessions where volume profiles differ significantly from regular session dynamics Highly gapped markets where price discontinuities bypass band interaction logic between sessions Consolidation and sideways price action where trend-following methodologies inherently struggle due to lack of sustained directional movement Integration Guidelines Confluence : Combine with BOSWaves structure analysis, momentum oscillators, or volume profile tools for multi-factor confirmation Band Respect : Honor outer band TP signals as primary overextension alerts - consider reducing exposure when price reaches 2.2 ATR deviation from T3 baseline Baseline Awareness : Monitor price relationship to T3 baseline as the primary equilibrium reference - sustained distance indicates trend conviction, proximity indicates consolidation Tension Monitoring : Track band gradient intensity to identify building tension conditions that may precede acceleration or reversal Anchor Discipline : Maintain consistent anchor period selection aligned with the primary trading timeframe rather than switching anchors to fit recent price behavior State Discipline : Maintain directional bias aligned with current T3 slope state until a confirmed slope reversal occurs Multi-Timeframe Alignment : Use higher timeframe T3 slope direction as a filter for lower timeframe entries to ensure confluence across time horizons Disclaimer VWAP Volatility Bands is a professional-grade trend following and volatility band system. It uses T3-smoothed VWAP with ATR-normalized band construction but does not predict future price movements. Results depend on market conditions, volatility characteristics, anchor period selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script®指标
由BOSWaves提供
Ferrum Pressure Gauge [JOAT]Ferrum Pressure Gauge Introduction The Ferrum Pressure Gauge is an open-source composite momentum-volume oscillator that fuses three independent pressure measurements — volume-weighted momentum, price velocity with acceleration, and RSI-derived trend pressure — into a single index displayed in a separate pane. The index is paired with a signal (resonance) line, and the space between them is filled with an 8-layer gradient that visually communicates momentum intensity at a glance. Dynamic non-repainting zones adapt to recent range, divergence detection identifies price-vs-index fractures, and a precursor engine spots early reversal conditions before the main index confirms them. Most momentum oscillators measure a single dimension — either price momentum or volume momentum, but rarely both in a unified way. FPG addresses this by weighting price changes by volume activity through a logarithmic volume impact function, then combining that with velocity, acceleration, and RSI into a composite reading. The result is an oscillator that responds to both the speed and the conviction behind price moves. Core Engine: Fusion Reactor The composite index is built from three sub-components: 1. Volume-Weighted Momentum (Net Flow) Price changes are scaled by a logarithmic volume impact function that amplifies moves occurring on above-average volume while dampening moves on thin volume: float vRatio = ta.sma(volume, 3) / ta.sma(volume, volPeriod) float vwMom = pChange * math.log(1 + vRatio * volSens) The logarithmic scaling prevents extreme volume spikes from producing absurdly large momentum readings while still giving meaningful weight to elevated volume. Fast and slow EMAs of this volume-weighted momentum produce a dual-speed flow, and their difference (smoothed) becomes the Net Flow component. 2. Price Velocity and Acceleration Velocity measures the average price change per bar over the fast period. Acceleration is the change in velocity — it detects whether momentum is building or fading. These are combined with the volume ratio and scaled to produce the Flow Strength component. 3. RSI Trend Pressure RSI is centered around zero (RSI - 50) and smoothed, providing a bounded measure of trend pressure that complements the unbounded volume-weighted components. The three components are averaged and passed through a final WMA smoothing pass to produce the Pressure Index. A separate EMA of the index produces the Resonance (signal) line. 8-Layer Gradient Fill The space between the Pressure Index and the Resonance Line is divided into 8 equal segments, each filled with progressively increasing transparency. This creates a smooth gradient that is dense and vivid when momentum is strong (large gap between index and signal) and thin and faded when momentum is weak. The gradient direction and color shift based on whether the index is positive or negative and whether it is in the upper or lower crucible zone. Dynamic Crucible Boundaries (Non-Repainting Zones) Rather than using fixed overbought/oversold levels, FPG calculates dynamic zones based on the recent range of the index: float rHi = ta.highest(idx, zoneLen) float rLo = ta.lowest(idx, zoneLen) float volF = (rHi - rLo) / 2 float upperZ = math.min(60, 30 + volF * 0.3) float lowerZ = math.max(-60, -30 - volF * 0.3) The offset on highest/lowest ensures these zones never repaint. They widen during volatile periods and tighten during calm ones, adapting the overbought/oversold thresholds to current market conditions rather than using arbitrary fixed levels. Volume Climax (Surge Detection) The indicator percentile-ranks current volume against a configurable lookback (default 100 bars). When volume exceeds the 90th percentile, a surge is detected. The edge-triggered SURGE label fires only on the first bar of the spike, marking potential climax events where institutional-scale volume enters the market. Exhaustion Index (Fatigue Meter) When the Pressure Index dwells in an extreme zone (above upper or below lower boundary), a fatigue counter increments each bar. The fatigue percentage rises linearly toward 100% over a configurable horizon (default 20 bars). Fatigue is classified as NONE, MILD, BUILDING, or CRITICAL. Critical fatigue warns that momentum has been stretched for an extended period and reversal probability is elevated. Fracture Detection (Divergence) The indicator detects classic divergences between price and the Pressure Index: Bullish Fracture: Price is falling (making lower lows) while the Pressure Index is rising — hidden buying pressure beneath falling prices. Bearish Fracture: Price is rising (making higher highs) while the Pressure Index is falling — hidden selling pressure beneath rising prices. Fracture signals are confirmed-bar only and placed outside the crucible boundaries to avoid overlapping with the main index plot. Precursor Engine (Early Reversal Detection) The precursor engine identifies conditions where the fast and slow flow lines cross while the main index is on the opposite side of zero: IGNITION (Bullish Precursor): Fast flow crosses above slow flow while the Pressure Index is still negative — early bullish momentum building before the index turns positive. QUENCH (Bearish Precursor): Fast flow crosses below slow flow while the Pressure Index is still positive — early bearish momentum building before the index turns negative. These signals often lead the main index crossover by several bars, providing an early warning system. Command Panel (Dashboard) A 9-row monospace dashboard displays: PRESSURE: Current Pressure Index value with color reflecting zone position RESONANCE: Current signal line value FLOW: Net flow delta (fast minus slow) — the raw momentum differential FLUX: Volume ratio (short/long SMA) — values above 1.2 indicate elevated activity CRUCIBLE: Current dynamic upper and lower zone boundaries SURGE: Whether volume is currently in a climax state (ACTIVE / QUIET) FATIGUE: Exhaustion classification with percentage (NONE / MILD / BUILDING / CRITICAL) DELTA: Histogram value (index minus signal) — positive = bullish momentum, negative = bearish Input Parameters Fusion Reactor: Ignition Cycle: Fast EMA period (default 8) Sustain Cycle: Slow EMA period (default 21) Flux Epoch: Volume SMA lookback (default 14) Flux Amplifier: Volume impact scaling (default 1.5) Forge Smoothing / Temper Pass: Composite and final smoothing Resonance Layer: Resonance Period: Signal line EMA (default 12) Crucible Boundaries: Toggle dynamic zones Boundary Lookback: Zone calculation window (default 50) Volume Climax: Enable Surge Detection / Surge Percentile / Surge Lookback Exhaustion Index: Enable Fatigue Meter / Fatigue Horizon: Bars in extreme zone before max fatigue Fracture Detection: Show Fractures / Fracture Lookback: Divergence detection parameters Precursor Engine: Show Precursors: Toggle early reversal signals How to Use This Indicator Use the Pressure Index crossing above/below the Resonance Line as a momentum confirmation signal — similar to MACD crossovers but volume-weighted. Watch for IGNITION/QUENCH precursor signals — they often lead the main crossover by several bars and can provide earlier entries. FRACTURE (divergence) signals are among the most reliable warnings of trend exhaustion. A bullish fracture during a downtrend suggests hidden accumulation. Monitor the Fatigue meter when the index is in an extreme zone. CRITICAL fatigue combined with a fracture signal is a high-probability reversal setup. SURGE markers highlight institutional-scale volume events. A surge occurring at a crucible boundary often marks a climax reversal point. The 8-layer gradient provides instant visual feedback — dense, vivid fills indicate strong momentum conviction; thin, faded fills indicate weakening momentum. Limitations Like all momentum oscillators, FPG is lagging — it confirms momentum after it has begun, not before. Divergence (fracture) signals can persist for extended periods before price reverses. They indicate weakening momentum, not guaranteed reversals. Precursor signals are early by design and therefore have a higher false-positive rate than confirmed crossover signals. Volume-weighted calculations are less reliable on instruments with inconsistent or unreported volume data. The Fatigue meter is a heuristic based on time-in-zone, not a statistical probability. Extended trends can maintain extreme readings longer than expected. Dynamic zones adapt to recent range but may lag during sudden regime changes. Originality Statement This indicator is original in its composite fusion approach. While MACD, RSI, and volume analysis are established concepts individually, FPG is justified because: The logarithmic volume-weighted momentum calculation provides a unique fusion of price change and volume conviction that differs from standard MACD or OBV approaches. Three independent sub-components (volume-weighted flow, velocity/acceleration, RSI pressure) are composited into a single index, providing multi-dimensional momentum measurement. The 8-layer gradient fill between index and signal line creates a visual momentum density map not found in standard oscillators. Dynamic non-repainting crucible boundaries adapt overbought/oversold levels to current conditions rather than using fixed thresholds. The Exhaustion Index tracks time-in-extreme-zone as a fatigue metric, adding a temporal dimension to momentum analysis. The Precursor Engine identifies early flow crossovers while the main index is on the opposite side, providing leading signals ahead of the main crossover. Volume Climax detection via percentile ranking integrates institutional-scale volume event identification directly into the oscillator. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Momentum oscillators describe the current state of price momentum but do not predict future price direction. Overbought conditions can persist in strong trends, and oversold conditions can deepen in bear markets. Always use proper risk management and conduct your own analysis before making trading decisions. The author is not responsible for any losses incurred from using this tool. -Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Caldera Deviation Cloud [JOAT]Caldera Deviation Cloud Introduction The Caldera Deviation Cloud is an open-source statistical deviation band system that fuses anchored VWAP with Z-score adaptive band widths, Keltner ATR blending, and higher-timeframe volatility expansion into a unified probability envelope overlay. Instead of using a single method to calculate band width, CDC triple-blends VWAP standard deviation, statistical standard deviation, and ATR-based Keltner width — whichever produces the widest reading dominates, ensuring the bands never underestimate true market dispersion. The result is a layered cloud with inner (1-sigma, ~68% probability) and outer (2-sigma, ~95% probability) envelopes that adapt to both local and macro volatility conditions. What makes this indicator distinct from standard Bollinger Bands or VWAP bands is the fusion approach: it does not rely on a single deviation method. It also reverse-engineers historical Z-score reversal points into dynamic "fossil" support and resistance levels — price zones where statistical extremes have historically triggered reversals. Core Engine: Adaptive Deviation Fusion The band width calculation blends three independent deviation measurements: float baseAdapt = na(vwapStdev) or vwapStdev <= 0 ? statDev : math.max(vwapStdev, statDev * 0.5) float keltBlend = useKelt ? math.max(baseAdapt, keltW * 0.6) : baseAdapt float adaptDev = keltBlend * macroMult VWAP Standard Deviation: Derived from the anchored VWAP calculation (session, weekly, monthly, or quarterly reset). This captures volume-weighted price dispersion around the institutional fair value line. Statistical Standard Deviation: Classic standard deviation of closing prices over a configurable lookback (default 100 bars). This provides a pure statistical measure of price dispersion. Keltner Thermal Envelope: ATR-based width (EMA of close with ATR multiplier) that captures range-based volatility. When enabled, this prevents the bands from being too narrow during periods where price moves are large but close-to-close deviation is small. The wider of these three measurements is used as the base deviation, then multiplied by a macro volatility factor derived from the higher timeframe. Probability Lattice (Z-Score Engine) The Z-score engine computes how many standard deviations price is from its statistical mean, then smooths the result with VWMA for visual clarity: Z-Score: (close - SMA) / StdDev, smoothed with VWMA Mean Reversion Velocity: The rate of change of the Z-score, classified as EXPANDING (moving away from mean), CONTRACTING (returning toward mean), or STALLED Dynamic State: SHELL BREACH OB/OS (beyond historical reversal averages), ELEVATED/DEPRESSED (beyond 1 sigma), or EQUILIBRIUM (near mean) Reversal Archaeology (Fossil Levels) This is one of CDC's most distinctive features. The indicator detects Z-score pivot highs and pivot lows, filters them by a minimum threshold (default 1.5 sigma), and accumulates them into rolling arrays. The average of these historical reversal Z-scores is then reverse-engineered back into price levels: Fossil Resistance = VWMA(Mean + AvgTopReversalZ * StdDev) Fossil Support = VWMA(Mean + AvgBotReversalZ * StdDev) These "fossil levels" represent the price zones where, on average, the market has historically found statistical extremes significant enough to trigger reversals. They shift dynamically as new reversal data accumulates and old data rolls off. Macro Volatility Lens (HTF Expansion) When enabled, the indicator fetches standard deviation data from a higher timeframe (default 60-minute) and compares it to its own EMA. When macro volatility exceeds its average, the bands widen proportionally: macroMult = 1 + htfFactor * max(0, (htfStdev - htfAvgDev) / htfAvgDev) This prevents the bands from being too tight during periods of elevated macro uncertainty, even if the local timeframe appears calm. The security calls use lookahead=off to prevent repainting. Visual Elements Equilibrium Spine: The VWMA-smoothed center line (VWAP or statistical mean), plotted as a prominent purple line representing fair value. Core Envelope (Inner Bands): 1-sigma bands representing the ~68% probability zone. Color shifts dynamically based on price position within the cloud using color.from_gradient. Shell Envelope (Outer Bands): 2-sigma bands representing the ~95% probability zone. Price beyond these levels is statistically extreme. Nebula Gradient: A 10-layer gradient fill system creates a smooth visual transition from the spine outward through the core and shell envelopes. Upper layers use distribution (bearish) tones, lower layers use accumulation (bullish) tones. Fossil Levels: Cross-style plots marking the reverse-engineered support and resistance from Z-score reversal history. Signal Architecture CDC generates four signal types, all confirmed-bar only: SHELL BREACH: Price exceeds the outer (2-sigma) envelope — a statistically extreme event. Upper breach suggests distribution extreme, lower breach suggests accumulation extreme. Tooltip includes the sigma multiplier and current Z-score. CORE DRIFT: Price enters the zone between the inner and outer envelopes — elevated deviation but not yet extreme. This serves as an early warning before a potential shell breach. Command Panel (Dashboard) A 10-row monospace dashboard displays: LATTICE: Current smoothed Z-score value STATE: Statistical classification (Shell Breach OB/OS, Elevated, Depressed, Equilibrium) REV VEL: Mean reversion velocity direction (Expanding, Contracting, Stalled) SPINE: Current center line (VWAP/mean) price APERTURE: Current adaptive deviation width MACRO: HTF volatility multiplier (1.0x = normal, >1.1x = elevated macro vol) POSITION: Price location within the cloud (Upper Shell, Upper Core, Neutral, Lower Core, Lower Shell) FOSSIL R / FOSSIL S: Average Z-score at which historical reversals have occurred (resistance and support) Input Parameters Probability Lattice: Lattice Depth: Z-score lookback window (default 100) Lattice Damper: VWMA smoothing on raw Z-score (default 14) Sigma Core: Inner band multiplier, ~68% probability (default 1.0) Sigma Shell: Outer band multiplier, ~95% probability (default 2.0) Anchor Nexus: Volume Epoch: VWAP reset period — Session, Weekly, Monthly, or Quarterly Keltner Fusion: Enable Thermal Envelope: Toggle ATR-based width blending (default on) Thermal EMA / ATR Scale: Keltner channel parameters Macro Volatility Lens: Enable Horizon Expansion: Toggle HTF volatility widening (default on) Horizon Timeframe / Blend Factor: HTF parameters Reversal Archaeology: Fossil Depth: Rolling array size for reversal history (default 25) Fossil Threshold: Minimum Z-score magnitude for valid reversal (default 1.5) How to Use This Indicator Use the cloud as a probability envelope — price spending time near the outer shell is statistically unusual and often precedes mean reversion. Watch SHELL BREACH signals at the outer bands for potential reversal setups, especially when the Reversion Velocity shows CONTRACTING (Z-score returning toward mean). Fossil levels provide dynamic support/resistance derived from statistical history — they shift as new reversal data accumulates, making them adaptive rather than static. The MACRO multiplier in the dashboard warns when higher-timeframe volatility is elevated — wider bands during these periods reflect genuine uncertainty, not just noise. CORE DRIFT signals serve as early warnings — price entering the core-to-shell zone may continue to the shell or reverse. Use them as alerts to pay attention, not as standalone trade signals. The Equilibrium Spine (center line) acts as a dynamic fair value reference — extended moves away from it tend to revert over time. Limitations Statistical bands assume roughly normal price distributions, which markets frequently violate. Fat tails and gap events can exceed even the outer shell without warning. Z-score mean reversion is a tendency, not a guarantee — price can remain at statistical extremes for extended periods, especially during strong trends. Fossil levels are based on historical reversal averages and may not predict future reversal points accurately. They provide context, not certainty. The VWAP anchor resets at each period boundary (session, week, etc.), which can cause discontinuities in the center line and bands. Higher-timeframe volatility expansion depends on the selected HTF — different choices produce different macro multipliers. The indicator does not generate directional buy/sell signals — it provides statistical context for your own decision-making. Originality Statement This indicator is original in its triple-blend adaptive deviation approach. While VWAP bands, Bollinger Bands, and Keltner Channels are established concepts individually, CDC is justified because: The triple-blend deviation fusion (VWAP stdev + statistical stdev + Keltner ATR) ensures bands never underestimate dispersion regardless of which volatility measure is dominant. Reversal Archaeology reverse-engineers Z-score pivot history into dynamic price levels — a technique not found in standard deviation band indicators. The Macro Volatility Lens integrates higher-timeframe volatility directly into band width calculation, providing macro-aware probability envelopes. The 10-layer nebula gradient fill creates a visual probability density that communicates statistical significance through color intensity. Mean Reversion Velocity tracking provides directional context for Z-score movement, helping distinguish between expanding extremes and contracting reversals. The comprehensive dashboard presents statistical state, reversion dynamics, and fossil levels simultaneously. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Statistical deviation bands describe historical price distribution patterns but do not predict future price movement. Extreme Z-scores do not guarantee reversals. Always use proper risk management and conduct your own analysis before making trading decisions. The author is not responsible for any losses incurred from using this tool. -Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Dynamic Swing VWAP [WillyAlgoTrader]📊 Dynamic Swing VWAP is an overlay indicator that anchors a volume-weighted average price (VWAP) to each swing pivot — restarting the calculation every time the market structure changes direction. Unlike session-based VWAP (which resets at midnight) or fixed-anchor VWAP (which you drag manually), this VWAP automatically re-anchors to every swing high or swing low detected by the built-in pivot engine, producing a segmented VWAP line where each segment represents the volume-weighted fair value of the current trend leg. The VWAP is computed using an Exponential Weighted Moving Average (EWMA) with configurable tracking speed that can adapt to ATR-based volatility — plus deviation bands using EWMA-smoothed ATR and full market structure labeling (HH/HL/LH/LL). The core insight: a VWAP anchored to the start of the current swing leg tells you the average price at which volume traded since the trend began — this is where institutional positions are concentrated for this specific move. Price above the swing VWAP = the move is in profit for participants who entered at the start of the leg. Price below = the move is underwater. Each new swing resets the context, keeping the VWAP relevant to the current market structure. 🧩 WHY THESE COMPONENTS WORK TOGETHER Session VWAP tells you the average price for today — but a trend that started three days ago doesn't care about today's session boundary. Fixed-anchor VWAP lets you pick a start point but requires manual adjustment. And standard VWAP has no concept of market structure — it doesn't know when a swing reversal invalidated the previous leg. This indicator solves all three problems: Swing detection → Structure classification (HH/HL/LH/LL) → VWAP anchor at pivot → EWMA VWAP with adaptive tracking → ATR deviation bands → Trend direction coloring The swing detector identifies alternating highs and lows from price action. Each new swing is classified by its relationship to the previous swing of the same type (Higher High, Lower Low, etc.). On each qualifying swing, the VWAP resets and begins accumulating from the pivot bar — so the VWAP always represents the current leg's volume-weighted average. The EWMA tracking speed controls how responsive the VWAP is to new price/volume data. And the ATR bands show where price is extended relative to the VWAP within the current leg. Without swing anchoring, the VWAP drifts from stale reference points. Without structure classification, you don't know if the current swing is trend-continuing (HH/HL) or reversing (LH/LL). Without EWMA tracking, the VWAP would be a rigid cumulative calculation that can't adapt to changing conditions. Without bands, you can't gauge how extended the move is relative to fair value. 🔍 WHAT MAKES IT ORIGINAL 1️⃣ EWMA-based VWAP with half-life tracking. Instead of the standard cumulative VWAP (which weights every bar equally since the anchor), this indicator uses an Exponential Weighted Moving Average approach: alpha = 1 − exp(−ln(2) / APT) Where APT (Adaptive Price Tracking) is the configurable half-life in bars. This means: a bar that is APT bars old has exactly half the weight of the current bar. The EWMA updates: P = (1 − alpha) × P + alpha × (source × volume) V = (1 − alpha) × V + alpha × volume VWAP = P / V This produces a VWAP that naturally decays the influence of older bars — recent volume-weighted prices matter more. With APT=21 (default), a bar from 21 bars ago has half the weight of the current bar, and a bar from 42 bars ago has one-quarter. The key advantage over cumulative VWAP: after 200 bars, a cumulative VWAP barely moves — every new bar is 1/200th of the total. The EWMA VWAP continues to track price meaningfully because old data decays. 2️⃣ ATR-adaptive tracking speed. When "Adapt APT by ATR Ratio" is enabled, the tracking speed automatically adjusts based on current vs average volatility: adjustedAPT = baseAPT / (atrRatio ^ volatilityBias) Where atrRatio = ATR(50) / RMA(ATR, 50). When volatility spikes (ratio > 1), APT decreases → VWAP tracks price faster (captures the volatile move). When volatility contracts (ratio < 1), APT increases → VWAP smooths out (avoids overreacting to noise). The volatility bias parameter (default 10.0) controls the sensitivity — higher values produce more dramatic speed changes. The adjusted APT is clamped to to prevent extreme behavior. 3️⃣ Swing-anchored segment reset with backfill. When a new swing is detected, the VWAP doesn't just reset on the current bar — it backfills from the actual pivot bar to the present. This is critical because pivots are detected with a delay (the swing high/low is only confirmed after prdInput bars have passed). Without backfill, the VWAP would start from the current bar instead of the actual swing point. The backfill process: — Seed the EWMA at the pivot bar with the source price and volume at that bar — Walk forward bar by bar from the pivot to the current bar — Apply the EWMA update at each step — Optionally ramp the alpha (smooth re-anchor) to reduce initial jitter This produces a VWAP line that appears to start exactly at the swing point — even though the detection happened later. 4️⃣ Smooth re-anchor with alpha ramping. When enabled (default), the first 5 bars after a new anchor use a ramped alpha: rampFactor = 0.5 + 0.5 × barsFromSeed/5. This starts at 50% of the full alpha and ramps to 100% over 5 bars. The effect: the VWAP doesn't jerk to the new price immediately but smoothly transitions from the seed — reducing visual noise at segment boundaries. 5️⃣ Volume spike capping. When enabled (default), individual bar volumes are capped at 3× SMA(volume, 20). This prevents a single extreme volume bar (block trade, liquidation cascade, exchange glitch) from disproportionately pulling the VWAP. On crypto and small-cap stocks where volume spikes of 10–50× average are common, this produces a much more stable VWAP. Additionally, zero-volume bars (some instruments report 0 on certain bars) are replaced with the 50-bar median volume — preventing division-by-zero and maintaining continuity. 6️⃣ Market structure labels (HH/HL/LH/LL/EH/EL). Each swing is classified by comparing it to the previous swing of the same type: — HH (Higher High): current swing high > previous swing high — bullish continuation — HL (Higher Low): current swing low > previous swing low — bullish structure — LH (Lower High): current swing high < previous — bearish pressure — LL (Lower Low): current swing low < previous — bearish continuation — EH (Equal High): same level as previous high — potential double top — EL (Equal Low): same level as previous low — potential double bottom — IH/IL (Initial): first swing detected (no previous to compare) These labels are placed at the actual swing bar position (not the detection bar), providing accurate structure mapping. 7️⃣ LL/HH-only anchor filter. When "Only LL/HH Anchors" is enabled, the VWAP only resets on Lower-Low and Higher-High swings — the strongest continuation signals. HL and LH swings still get labels (for visual structure reference) but don't reset the VWAP segment. This produces longer, smoother VWAP segments that only restart on major trend-confirming swings. 8️⃣ EWMA ATR deviation bands. The bands use the same EWMA smoothing applied to ATR values (not a separate calculation): ewmaATR = (1 − alpha) × ewmaATR + alpha × ATR Upper band = VWAP + ewmaATR × bandMultiplier Lower band = VWAP − ewmaATR × bandMultiplier The band multiplier defaults to 0.618 (Fibonacci golden ratio). The bands are rendered as a filled polyline contour — upper points forward, lower points backward, forming a closed polygon. The fill color matches the trend direction (green for bullish, red for bearish) with configurable transparency. 9️⃣ Polyline rendering for clean visual output. The VWAP line and bands use Pine Script's polyline type — not plot(). Each segment is a separate polyline object drawn from the pivot bar to the current bar. On segment reset, the old polyline is finalized (frozen on chart) and a new one begins. This produces clean, non-overlapping segments with distinct colors per direction — something that plot() cannot achieve without workarounds. ⚙️ HOW IT WORKS — CALCULATION FLOW Step 1 — Swing detection: ta.highestbars/ta.lowestbars with configurable period. When the highest bar = current bar → swing high. When lowest = current bar → swing low. Direction tracks which was more recent. Step 2 — Structure classification: Each new swing is compared to the previous swing of the same type → HH/HL/LH/LL/EH/EL label. Step 3 — Anchor decision: If LL/HH filter is off, every swing anchors. If on, only LL and HH (plus initial) anchor. Non-anchoring swings still get labels. Step 4 — VWAP reset + backfill: Seed EWMA at pivot bar. Walk forward applying EWMA update at each bar with alpha from half-life. Optional smooth ramp over first 5 bars. Step 5 — Normal bar update: Each new bar: compute alpha from APT (optionally ATR-adapted), update EWMA P and V, compute VWAP = P/V, push point to polyline, update band contour. Step 6 — Segment visualization: Old segment finalized as frozen polyline. New segment drawn live. Bands rendered as filled contour polygon. 📖 HOW TO USE 🎯 Quick start: 1. Add the indicator — colored VWAP segments appear, anchored to each swing 2. Green line = bullish leg VWAP, red = bearish leg VWAP 3. HH/HL/LH/LL labels show market structure at each pivot 4. Price above VWAP = current leg is in profit, below = underwater 👁️ Reading the chart: — 🟢 Green VWAP line = bullish swing leg (anchored from swing low) — 🔴 Red VWAP line = bearish swing leg (anchored from swing high) — 🟢🔴 Filled bands = deviation from VWAP (brighter = more volatile) — HH / HL labels = bullish structure (trend up) — LH / LL labels = bearish structure (trend down) — EH / EL labels = equal level (potential reversal zone) — Price crosses VWAP from below → bullish (reclaiming fair value) — Price crosses VWAP from above → bearish (losing fair value) 🔧 Tuning guide: — VWAP too smooth (lagging): decrease APT (10–15), or enable ATR adaptation — VWAP too noisy: increase APT (30–50), enable Smooth Re-Anchor — Too many segments (choppy): increase Swing Period (40–80), or enable LL/HH Only mode — Bands too tight: increase Band Multiplier (1.0–1.618) — Bands too wide: decrease Band Multiplier (0.382–0.5) — Volume spikes distorting: enable Cap Volume Spikes (default on) ⚙️ KEY SETTINGS REFERENCE ⚙️ Main: — Swing Period (default 55): lookback for pivot detection — larger = bigger swings — Adaptive Price Tracking (default 21): EWMA half-life in bars — lower = faster tracking — Adapt APT by ATR Ratio (default Off): auto-adjust speed by volatility — Volatility Bias (default 10.0): ATR adaptation sensitivity — Cap Volume Spikes (default On): limit extreme bars to 3× average — Smooth Re-Anchor (default On): gradual alpha ramp on new segments — Only LL/HH Anchors (default Off): reset VWAP only on continuation swings 📐 Bands: — Band Multiplier (default 0.618): ATR × this value for band width — Band Fill Transparency (default 90): fill opacity 🎨 Visual: — Swing labels, trend background (all toggleable) — Line width configurable (1–5) — Auto / Dark / Light theme 🔔 Alerts — 🟢 BULLISH / 🔴 BEARISH — trend direction change with swing label (HH/LL/etc.), ticker, price, timeframe All support plain text and JSON webhook format. Bar-close confirmed. ⚠️ IMPORTANT NOTES — 🚫 No repainting. Alerts require barstate.isconfirmed. Swing pivots are confirmed with equal left/right lookback — the actual swing point is in the past by swingPeriod bars. The VWAP backfills from the confirmed pivot bar to the present, so the line appears at the correct location — this is backfill computation, not repainting of future values. — 📐 The EWMA VWAP is not the same as standard cumulative VWAP . Standard VWAP weights every bar equally since the anchor. EWMA VWAP applies exponential decay — recent bars dominate, old bars fade. This makes the VWAP continue to track price meaningfully even after hundreds of bars, while cumulative VWAP would barely move. — 📊 The half-life parameter (APT) means a bar APT bars ago has exactly half the weight of the current bar. APT=21 → 21 bars ago = 50% weight, 42 bars ago = 25% weight, 63 bars ago = 12.5% weight. — ⚖️ Volume spike capping at 3× SMA(20) prevents single anomalous bars from hijacking the VWAP. Zero-volume bars are replaced with the 50-bar median. Both features ensure VWAP stability on instruments with unreliable volume data. — 🔄 The LL/HH filter mode produces longer VWAP segments because HL and LH swings don't reset the calculation. The VWAP continues accumulating through counter-trend pullbacks, only resetting on trend-confirming swings. — 📏 The polyline contour for bands is rebuilt every bar (old polyline deleted, new one created). Arrays are capped at 2000 points to prevent memory overflow on very long segments. — 🛠️ This is a volume-weighted trend analysis tool , not a signal generator. It shows where volume-weighted fair value sits for the current swing leg, how extended price is from that fair value, and what the market structure looks like — trade decisions remain yours. — 🌐 Works on all markets and timeframes. Volume features auto-adapt to instruments with zero or unreliable volume data.
Pine Script®指标
由WillyAlgoTrader提供
34
Sovereign Meridian [JOAT]Sovereign Meridian Introduction The Sovereign Meridian is a proprietary, closed-source charting suite designed to give traders a unified view of market structure, regime context, reaction zones, liquidity mapping, order flow dynamics, and institutional signal detection — all within a single overlay indicator. Rather than requiring traders to load multiple separate tools and mentally piece together their outputs, this indicator runs every analytical dimension through a shared engine so that each module informs the others. The result is a cohesive, context-aware charting environment where structure, volume, momentum, and volatility work together to produce a clear, actionable picture of what the market is doing right now and where it is likely to go next. This indicator is built in Pine Script v6 and is published as invite-only because the proprietary scoring algorithms, signal prioritization logic, and the way each analytical module feeds into the others represent original work that goes significantly beyond standard implementations of these concepts. The source is protected to preserve the integrity of the detection logic and the specific calibration of thresholds, weights, and interaction rules that make this tool unique. What Makes This Indicator Worth Protecting The Sovereign Meridian is not simply a collection of standard concepts placed on the same chart. While the individual analytical principles it draws from — swing-based structure, fair value gaps, order blocks, VWAP analysis, volume delta, Wyckoff theory — are well-established in institutional trading education, the value of this indicator lies in how these concepts are unified, scored, and prioritized through a proprietary engine: Unified Structure Engine: Every module — from regime detection to FVG creation to signal generation — operates through a single shared structure engine. This means that a Break of Structure event does not exist in isolation; it is immediately contextualized by the current regime state, the active reaction zones, the volume delta direction, and the volatility environment. This cross-module awareness produces more meaningful signals than running separate tools independently. Proprietary Structure Score: A composite scoring algorithm evaluates the current market state across eight weighted dimensions — structural trend direction, swing pattern quality, active imbalance zone count, order block density, volume conviction, moving average alignment, regime classification, and delta flow direction. The specific weights, thresholds, and interaction rules that produce this score are original and calibrated through extensive testing. Adaptive Sensitivity System: A single sensitivity control adjusts detection thresholds across every module simultaneously, ensuring that the entire indicator tightens or loosens its criteria in a coordinated way. This is not a simple multiplier — the sensitivity adjustment is calibrated differently for each module based on how that module's detection logic responds to threshold changes. Priority-Based Signal Architecture: The institutional signal system uses a six-tier priority hierarchy with cooldown management to ensure that only the most significant event is displayed at any given time. Higher-priority signals (such as liquidity grabs and Wyckoff events) suppress lower-priority ones (such as delta surges and engulfing patterns) within a configurable cooldown window. The specific priority ordering, cooldown interaction rules, and signal qualification criteria are proprietary. Multi-Factor Candle Coloring: Candles are colored through a cascading priority system that evaluates displacement status, VWAP band position, and structural trend direction in a specific order. This produces candle colors that immediately communicate the most important context about each bar without requiring the trader to check multiple indicators. The Regime Engine At the foundation of the Sovereign Meridian is a regime classification system that determines the current market state. The regime engine evaluates three independent analytical dimensions: Trend Alignment: The indicator monitors the relationship between short-term, medium-term, and long-term moving averages to determine whether the market is in a directionally aligned state. Full alignment in one direction indicates a strong trending environment. Mixed alignment indicates transitional or range-bound conditions. Institutional Flow Direction: VWAP (Volume Weighted Average Price) slope analysis measures the direction and intensity of institutional order flow over a lookback period. The slope is normalized to make it comparable across instruments with different price scales and volatility levels. A positive normalized slope indicates net institutional buying pressure; negative indicates selling pressure; flat indicates balanced flow. Volatility State: Bollinger Band width percentile ranking classifies the current volatility environment. When volatility compresses into the lowest percentile, a Squeeze state is detected — often a precursor to an explosive directional move. When volatility expands into the highest percentile, an Expansion state is detected — indicating that a significant move is already underway. These three dimensions combine to classify the market into one of five regimes: Trend Up, Trend Down, Range, Squeeze, or Expansion. The regime state directly influences how every other module behaves — from how reaction zones are colored to which signals are generated to how candles are tinted. The Structure Engine The structure engine tracks the market's swing-based directional bias using pivot-based swing high and swing low detection. It maintains a history of the last two swings on each side, enabling pattern recognition: Swing Pattern Recognition: The engine identifies higher highs with higher lows (bullish structure), lower highs with lower lows (bearish structure), and transitional patterns where the swing sequence is mixed. Break of Structure (BOS): When price closes beyond a previous swing level in the direction of the existing structural trend, a BOS is recorded. This confirms that the current trend is continuing and that the market is making new structural progress. Change of Character (CHoCH): When price closes beyond a previous swing level against the existing structural trend, a CHoCH is recorded. This is a potential reversal signal — the market's character is shifting from one directional bias to the other. CHoCH events are labeled on the chart with reference lines extending forward from the break level. Displacement Detection: The engine identifies displacement candles — bars with exceptionally large bodies relative to their range and to the recent average body size. These candles indicate aggressive institutional order flow and often coincide with the creation of new reaction zones. The sensitivity control adjusts the detection thresholds for displacement candles in coordination with all other modules. Reaction Zones: Fair Value Gaps and Order Blocks The Sovereign Meridian identifies and tracks two types of institutional reaction zones: Fair Value Gaps (FVG) are three-candle price imbalances where the market moved so aggressively that a gap was left in the price ladder. These gaps represent areas where one side of the market was overwhelmed, and price often returns to fill them. The indicator: Detects bullish and bearish FVGs using the classic three-candle pattern Filters out insignificant micro-gaps using an ATR-based minimum size threshold (adjusted by the sensitivity control) Draws each FVG as a dotted-border box with directional coloring — teal for bullish, coral for bearish Tracks fill status in real-time: when price returns to close the gap, the box fades to grey, indicating the imbalance has been resolved Automatically manages zone count, removing the oldest zones when the configurable maximum is exceeded Order Blocks (OB) are the last opposing candle before a strong directional move, confirmed by above-average volume. They represent price levels where institutional orders were placed and where resting orders may still exist. The indicator: Detects bullish and bearish OBs using engulfing-style pattern recognition with a configurable strength multiplier Requires volume confirmation — the signal candle must have volume exceeding the 20-bar average Draws each OB as a solid-border box with directional coloring — azure/cobalt for bullish, coral/rose for bearish Tracks mitigation: when price returns to the OB zone after sufficient bars have passed, the box fades and its border becomes dashed, indicating the zone has been tested Manages zone count with automatic cleanup of the oldest zones Liquidity Mapping The indicator maps key liquidity features that institutional traders use to plan entries, exits, and targets: Equal Highs (EQH) and Equal Lows (EQL): When two consecutive swing highs or swing lows form at nearly the same price level (within an ATR-based tolerance), the indicator identifies them as Equal Highs or Equal Lows. These levels are significant because they represent areas where stop orders tend to cluster — above equal highs (buy stops) and below equal lows (sell stops). Institutional traders often engineer price moves toward these levels to fill large orders. EQH/EQL levels are drawn as dashed lines that extend forward and are automatically removed when price sweeps through them. Premium and Discount Zones: The range between the last swing high and swing low is divided at the equilibrium (50%) level. The upper half is labeled Premium — where sellers have a statistical edge. The lower half is labeled Discount — where buyers have a statistical edge. A dotted equilibrium line marks the midpoint. These zones help traders understand whether they are buying at a discount or selling at a premium relative to the current structural range. Key Institutional Levels: Prior Day High, Prior Day Low, Prior Week High, and Prior Week Low are drawn as dashed reference lines with labels. These levels are fetched using anti-repaint methodology (no future data references) and represent the most-watched institutional reference points on any chart. VWAP Deviation Bands The indicator plots VWAP with two standard deviation bands above and below, creating a statistical framework for price position: Inner Band (+/- 1 standard deviation): Price within this band is in the "normal" range relative to the volume-weighted average. This is the fair value zone where most trading activity occurs. Outer Band (+/- 2 standard deviations): Price beyond the inner band but within the outer band is in an extended state. Price beyond the outer band is at a statistical extreme — more than two standard deviations from the volume-weighted mean. Regime-Adaptive Coloring: The VWAP bands change color based on the current regime state. In a bullish regime, the bands are azure. In a bearish regime, they are coral. In neutral conditions, they are silver. This provides immediate visual context about the directional environment without requiring the trader to check the HUD. Band Fills: The area between the inner bands is filled with a subtle tint, and the area between the inner and outer bands receives a lighter fill. This creates a visual "channel" that makes it easy to see where price sits relative to the institutional benchmark. Institutional Signal Detection The Sovereign Meridian detects six types of institutional events, organized in a strict priority hierarchy to prevent visual clutter: Liquidity Grab (highest priority): Price sweeps beyond a swing level and closes back inside, with a wick significantly larger than the body. This is a classic stop-hunt pattern where institutional traders push price into a liquidity pool to fill orders, then reverse. These events are marked with gold labels and include a reference line and highlight box at the grab level. Wyckoff Spring / Upthrust: Price sweeps below a swing low (Spring) or above a swing high (Upthrust) and closes back inside, confirmed by above-average volume. These are accumulation and distribution signals from Wyckoff methodology — among the most reliable reversal patterns in institutional trading. Absorption: High volume with small price range — the Wyckoff "Effort vs Result" concept. When large volume produces minimal price movement, it indicates that institutional orders are being absorbed without moving the market. This often precedes a directional breakout as the absorption phase completes. Volume-Confirmed Engulfing: Classic engulfing candle patterns where the current bar's body fully engulfs the prior bar's body, confirmed by volume exceeding the 20-bar average. These patterns indicate a shift in short-term control from buyers to sellers or vice versa. Delta Surge: When the buy/sell volume ratio becomes heavily skewed in one direction, indicating strong one-sided institutional flow. This confirms directional conviction in the current move. Change of Character (lowest priority): CHoCH events from the structure engine are also displayed as signals with reference lines, providing structural context alongside the order flow signals above. Each signal type has its own color and label style for instant recognition. The cooldown system ensures a minimum number of bars between signals on the same side (bull/bear), and higher-priority signals reset the cooldown for lower-priority ones. This means you will never see a cluttered chart with overlapping labels — only the most significant event at any given moment is displayed. The Structure Score The proprietary Structure Score (0-100) synthesizes information from every module into a single number that represents the overall conviction level of the current market state. The score evaluates: Whether a directional structural trend is established Whether the swing pattern supports the trend (higher highs/higher lows or lower highs/lower lows) How many active, unfilled Fair Value Gaps exist (more active FVGs = more institutional imbalance) How many unmitigated Order Blocks exist (more active OBs = more institutional interest) Whether current volume is above average (confirming participation) Whether moving averages are aligned in a trending configuration Whether the regime engine confirms a trending state Whether the volume delta supports the directional bias Each component contributes a weighted amount to the total score, capped at 100. The specific weights and caps for each component are proprietary. Scores above 70 indicate strong directional conviction with multiple confirming factors. Scores between 40-70 indicate moderate conditions. Below 40 indicates weak or conflicting signals. The Institutional Bias The HUD displays a weighted institutional bias reading (BULL / BEAR / LEAN BULL / LEAN BEAR / NEUTRAL) computed from the weighted sum of all currently active signals and conditions. Each signal type carries a different weight based on its historical reliability — liquidity grabs and Wyckoff events carry the highest weight, while delta surges carry the lowest. The regime state and moving average alignment provide baseline directional context. This gives traders an at-a-glance summary of which side has the institutional edge right now. HUD Dashboard The real-time HUD displays 16 metrics in a compact, color-coded table: Regime state (Trend Up / Trend Down / Range / Squeeze / Expansion) with regime-specific color Structure direction (Bullish / Bearish / Neutral) SMA alignment state (Bull Aligned / Bear Aligned / Mixed) RSI value with directional color coding Structure Score (0-100) with green/gold/coral color coding Volume ratio (current vs 20-bar average) with classification (Surge / High / Normal / Low) Delta value with directional sign and color Imbalance classification (BUY PRESSURE / SELL PRESSURE / Buyers / Sellers / Balanced) Effort/Result ratio with Wyckoff absorption detection (ABSORB / High / Elevated / Normal) VWAP band position (Above +2s / Above +1s / Upper Band / Lower Band / Below -1s / Below -2s) Volatility state with Bollinger percentile (Squeeze / Expansion / Normal) Active FVG and OB zone counts Current Swing High and Swing Low price levels Weighted Institutional Bias (BULL / BEAR / LEAN BULL / LEAN BEAR / NEUTRAL) Visual Design — The Sovereign Theme The indicator uses a custom "Sovereign" color palette — a desaturated, professional aesthetic built around muted blues, orchids, teals, corals, and golds on a dark graphite background. Every color choice carries meaning: Azure / Cobalt: Bullish structure, VWAP in bullish regime, SMA 20 Coral / Rose: Bearish structure, bearish regime, bearish signals Teal / Mint: Bullish reaction zones (FVG), EQL levels, discount zone Gold / Amber: Liquidity grabs, squeeze state, equilibrium, warnings Orchid / Violet: Absorption events, SMA 50, CHoCH signals Sage / Emerald: Strong bullish signals, springs, high scores Silver / Iron: Neutral states, mitigated zones, mixed conditions Ice / Lavender: Key levels (PDH, PWH), reference information The palette is intentionally desaturated compared to typical trading indicators. This reduces eye strain during extended chart sessions and ensures that when a bright signal does appear (gold liquidity grab, emerald spring), it immediately draws attention because it contrasts with the subdued baseline. Anti-Repaint Design The Sovereign Meridian is designed to produce signals that do not repaint: All signal generation is gated behind confirmed bar close logic — signals only appear after the bar has closed, never during an open bar Prior day and prior week levels are fetched with anti-repaint methodology (no future data references, no lookahead) Pivot-based swing detection has an inherent offset equal to the lookback period, which is accounted for in the structure engine The confirmed-bars-only toggle allows traders to verify the anti-repaint behavior by comparing real-time signals with historical ones Configurable Inputs The indicator provides organized input groups for customization: Core System: Sensitivity control (1-3) that adjusts all detection thresholds simultaneously, and confirmed-bars-only toggle Structure Engine: Swing lookback period, FVG visibility and maximum count, FVG minimum size filter, OB visibility and maximum count, OB strength multiplier Reaction Zones: EQH/EQL visibility and tolerance, Premium/Discount zone visibility, swing level line visibility Volatility Engine: Bollinger Band length and multiplier for squeeze/expansion detection Visuals: VWAP bands, SMA ribbon, key levels, candle coloring, signal display with cooldown, HUD panel, displacement markers, regime background tint — all individually toggleable How to Use the Sovereign Meridian Step 1: Read the Regime Check the HUD for the current regime state and the background tint. Trending regimes (azure or coral tint) favor directional trades. Squeeze (gold tint) means wait for a breakout. Range (no tint) favors mean-reversion approaches. Step 2: Identify the Structure Look at the structural trend direction in the HUD and the swing pattern on the chart. Are you seeing higher highs and higher lows, or lower highs and lower lows? BOS labels confirm trend continuation. CHoCH labels warn of potential reversals. Step 3: Find Reaction Zones Identify unfilled FVGs and unmitigated OBs in the direction of the structural trend. These are areas where price is likely to react. A bullish FVG in a bullish structure within a Trend Up regime is a high-probability long zone. Step 4: Check the Score and Bias A Structure Score above 70 with a BULL or BEAR institutional bias means multiple factors are aligned. This is when the highest-conviction trades occur. Scores below 40 or a NEUTRAL bias suggest waiting for clearer conditions. Step 5: Use Signals for Timing Liquidity grabs and Wyckoff springs/upthrusts at reaction zones provide entry timing. Absorption events warn that a move is being loaded. Delta surges confirm directional conviction. Step 6: Manage with VWAP Bands Use the VWAP deviation bands for position management. Price at +2 standard deviations in a long trade may be a good area to take partial profits. Price returning to the inner band after an extended move may be a re-entry opportunity. Who This Indicator Is For Traders who study institutional price action concepts (market structure, order flow, Wyckoff theory) and want a unified tool that connects these concepts Traders who are tired of loading 4-5 separate indicators and mentally correlating their outputs Traders who want a quantified Structure Score and institutional bias reading rather than subjective chart interpretation Traders who value clean, professional visuals that reduce eye strain and highlight only the most significant events Traders on any liquid instrument (forex majors, large-cap equities, crypto majors, futures) on timeframes of 5 minutes and above Limitations and Honest Assessment Swing detection has an inherent delay equal to the lookback period. Pivots are confirmed only after the right-side bars have formed. This means structure signals appear with a slight lag. Volume-based features (OB confirmation, delta analysis, absorption detection) require reliable volume data. Instruments with poor volume reporting will produce less reliable signals. FVG and OB zones are probabilistic reaction areas, not guaranteed reversal points. Price can and does move through zones without reacting. The buy/sell volume split is estimated from candle structure, which is an approximation of true order flow. True tick-level delta requires exchange data not available in Pine Script. The Structure Score is a heuristic composite, not a statistical model. It provides a useful summary but should not be the sole basis for trading decisions. During low-liquidity periods (overnight sessions, holidays), all signals may be less reliable. This indicator provides context and identifies high-probability zones and events. It does not predict the future and should be used as part of a broader trading plan with proper risk management. Alert Conditions The indicator includes 14 configurable alert conditions: BOS Long / BOS Short — structural break of structure in either direction CHoCH Long / CHoCH Short — change of character (potential reversal) Bull / Bear Liquidity Grab — stop-hunt reversal events Wyckoff Spring / Upthrust — accumulation and distribution signals Absorption — institutional order absorption detected Buy / Sell Delta Surge — strong one-sided volume flow Bull / Bear Displacement — aggressive institutional candles Regime Change — market regime transition Why Closed Source The Sovereign Meridian is published as invite-only with protected source because the proprietary value lies not in the individual concepts it employs — which are well-documented in institutional trading education — but in the specific way these concepts are unified, weighted, scored, and prioritized through a shared engine. The Structure Score algorithm, the signal priority hierarchy with its cooldown interaction rules, the adaptive sensitivity system, the multi-factor candle coloring cascade, and the weighted institutional bias calculation represent original engineering work that goes beyond standard implementations. Protecting the source preserves the integrity of these systems while the description above provides full transparency about the underlying principles, what the indicator does, and how traders can use it. 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. Market structure analysis, regime detection, and institutional signal identification are frameworks for understanding price behavior — they are not prediction systems. Signals do not guarantee future price movement. Past patterns do not guarantee they will repeat. Always use proper risk management and never risk more than you can afford to lose. The author makes no claims about guaranteed profitability and is not responsible for any losses incurred from using this indicator. -Made by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Echelon Regime Gauge [JOAT]Echelon Regime Gauge Introduction The Echelon Regime Gauge is an open-source market regime detection and session awareness indicator built in Pine Script v6. It classifies the current market state into one of six regimes — Trend Up, Trend Down, Range, Volatile, Squeeze, or Mixed — using a combination of SMA alignment, VWAP slope analysis, and Bollinger Band volatility metrics. On top of regime detection, the indicator provides session identification (Asian, London, New York, Kill Zones, Power Hour), volatility state tracking (Expansion, Contraction, Squeeze), R-squared trend quality measurement, historical volatility percentile, Wyckoff effort/result analysis, and an institutional activity score that colors candles by multi-factor heatmap logic. The core question this indicator answers is: "What kind of market am I in right now?" Knowing whether the market is trending, ranging, squeezing, or volatile changes everything about how you should trade — from entry type to stop placement to position sizing. This indicator provides that context in real-time with a confidence percentage and a comprehensive HUD dashboard. Why This Indicator Exists Most traders apply the same strategy regardless of market conditions. A breakout strategy in a ranging market produces whipsaws. A mean-reversion strategy in a trending market produces losses. This indicator solves the context problem by providing a clear, quantified regime classification: Regime Detection: Six distinct market states, each requiring different trading approaches. The classification uses three independent inputs — SMA alignment, VWAP slope direction, and Bollinger Band percentile — to produce a robust, multi-factor regime reading. Regime Confidence: A 0-100 score indicating how clearly the market fits the detected regime. High confidence means the classification is strong and reliable. Low confidence suggests transitional or ambiguous conditions. Session Awareness: Identifies the current trading session (Asian, London, New York) and highlights Kill Zones (London 2-5am, NY 7-10am) and Power Hour (3-4pm) — the periods when institutional activity is highest and moves are most significant. Volatility State: Tracks whether volatility is in Expansion, Contraction, Squeeze, or Normal state. Squeeze conditions (Bollinger width in the bottom 10th percentile) often precede explosive moves. Trend Quality (R-Squared): Measures how linear and clean the current trend is on a 0-1 scale. R-squared above 0.6 indicates a clean, tradeable trend. Below 0.4 indicates choppy, random price action. Institutional Activity Score: A multi-factor score (0-100) computed from body ratio, volume ratio, R-squared, Bollinger Band position, and VWAP distance. This score drives the candle heatmap coloring. How Regime Detection Works The regime engine combines three independent analytical dimensions: Dimension 1 — SMA Alignment: The indicator calculates three Simple Moving Averages (default 20, 50, 200). When all three are aligned in order (20 > 50 > 200), the market is in bull alignment. When reversed (20 < 50 < 200), bear alignment. Any other configuration is diverged/mixed. Dimension 2 — VWAP Slope: The VWAP (Volume Weighted Average Price) slope is calculated over a configurable lookback and normalized by ATR to make it comparable across instruments. A normalized slope above the threshold indicates upward momentum. Below the negative threshold indicates downward momentum. Within the threshold band indicates flat/ranging conditions. Dimension 3 — Volatility Percentile: Bollinger Band width percentile rank over 120 bars determines volatility state. Below the 10th percentile is a squeeze. Above the configurable expansion percentile (default 75th) is expansion. ATR percentile rank provides a secondary volatility measure. These three dimensions combine into the regime classification: Squeeze: BB width in bottom 10th percentile — volatility compression, potential breakout imminent Trend Up: Bull SMA alignment AND positive VWAP slope — clear directional momentum upward Trend Down: Bear SMA alignment AND negative VWAP slope — clear directional momentum downward Volatile: ATR in expansion percentile WITHOUT SMA alignment — high volatility but no clear trend direction Range: Flat VWAP slope WITHOUT SMA alignment — sideways, mean-reverting conditions Mixed: Conditions do not clearly fit any category — transitional state Regime Confidence Calculation Each regime has its own confidence formula based on how strongly the inputs support the classification: Trend Up/Down: SMA alignment (40pts) + slope direction (30pts) + slope magnitude (up to 30pts) Range: Flat slope (40pts) + no alignment (30pts) + low ATR percentile (up to 30pts) Squeeze: Low BB percentile (70%) + low ATR percentile (30%) Volatile: High ATR percentile (70%) + high BB percentile (30%) Mixed: Fixed at 25 — low confidence by definition The confidence is displayed as both a number and a visual bar (||||......) in the HUD, making it easy to assess at a glance. Session and Time-of-Day Analysis The indicator identifies seven session states with configurable timezone (default America/New_York): Asia (7pm-3am): Low volatility, range-building session. Quality: Low. London (3am-9:30am): Increasing volatility, often sets the day's direction. Quality: Medium. London Kill Zone (2-5am): Peak London institutional activity. Quality: High. New York (9:30am-4pm): Highest volume session for US instruments. Quality: Medium. NY Kill Zone (7-10am): Peak NY institutional activity, overlap with London. Quality: High. Lunch (10am-12pm): Low conviction, choppy price action. Quality: Low. Power Hour (3-4pm): End-of-day positioning, often produces strong moves. Quality: High. Kill Zones are highlighted with a subtle gold background tint. Lunch hours receive a dark tint as a visual warning of low-quality conditions. Institutional Signal System The indicator detects and labels six types of institutional events using a priority-based system with cooldowns to prevent label stacking: P1 — BULL/BEAR CONFLUENCE (highest priority): Full alignment of SMA, VWAP slope, R-squared trend quality, regime confidence > 70, and price vs VWAP. This is the strongest possible directional signal — all factors agree. P2 — MAJOR GOLDEN/DEATH CROSS: Mid SMA (50) crosses the Slow SMA (200). These are rare, high-impact structural events that signal major trend shifts. P2b — GOLDEN X / DEATH X: Fast SMA (20) crosses Mid SMA (50). More frequent than major crosses but still significant structural events. P3 — REGIME CHANGE: The regime classification changes from one state to another. Labels show the new regime name. P4 — SQZ BREAK: Squeeze releases into expansion with price above (bull) or below (bear) the fast SMA. These are high-energy breakout events. P5 — VWAP RECLAIM/REJECT: Price crosses above VWAP with positive slope (reclaim) or below with negative slope (rejection). VWAP is the institutional benchmark — reclaiming or losing it is significant. P6 — DISP (Displacement, lowest priority): Large-body candles (body > 70% of range, body > 2x average) indicating aggressive institutional order flow. Each signal checks a cooldown counter before firing. Higher-priority signals suppress lower-priority ones within the cooldown window, ensuring the chart shows only the most important signal at any given time. Candle Heatmap Coloring When enabled, candles are colored based on the current regime and trend quality rather than simple bull/bear direction: Bull Aligned + Clean Trend: Bright aurora lime (bullish candles) / aurora green (bearish candles) Bull Aligned: Aurora green / aurora teal Bear Aligned + Clean Trend: Aurora pink / aurora purple Bear Aligned: Aurora purple / aurora pink Squeeze: Aurora gold / warm orange Neutral: Ice blue / arctic blue This coloring scheme makes it immediately obvious what regime the market is in without looking at the HUD — the entire chart changes character with the regime. Advanced Metrics R-Squared Trend Quality: Calculated as the square of the correlation between close price and bar_index over a configurable period. Values above 0.7 indicate a clean, linear trend. Values below 0.4 indicate choppy, non-directional price action. This metric helps distinguish between trending markets that are tradeable and trending markets that are too choppy to trade reliably. Historical Volatility: Annualized standard deviation of log returns, displayed as a percentage with percentile ranking over 252 bars. This provides a longer-term volatility context beyond the Bollinger-based squeeze detection. Wyckoff Effort/Result: Volume divided by range — when this ratio is high (high volume, small range), institutional absorption is occurring. The indicator detects these events and displays them in the HUD. Regime Duration: Counts how many bars the current regime has persisted. Long-duration regimes are more established. Short-duration regimes may be transitional. Institutional Score: A 0-100 composite from body ratio, volume ratio, R-squared, BB position extremes, and VWAP distance. Higher scores indicate more institutional-quality price action. HUD Dashboard The HUD displays 12 metrics with color-coded values: Regime State with regime-specific color Confidence score with visual bar (||||......) VWAP Slope direction (Rising/Falling/Flat) Volatility state with squeeze duration counter Current Session name Session Quality rating (High/Medium/Low) SMA Alignment (Bull Aligned/Bear Aligned/Diverged) R-Squared trend quality (Clean/Moderate/Choppy) Historical Volatility with percentile classification Regime Duration in bars Institutional Activity Score Input Parameters Regime Detection: Fast/Mid/Slow SMA: Moving average periods (default: 20/50/200) VWAP Slope Lookback: Period for slope calculation (default: 20) Slope Threshold: Normalized slope threshold for trend detection (default: 0.12) Volatility: ATR Length: Period for ATR calculation (default: 14) Bollinger Length/Multiplier: BB parameters (default: 20/2.0) Squeeze Lookback: Percentile rank period (default: 120) Expansion Percentile: ATR percentile threshold for expansion (default: 75) Sessions: Show Session Zones: Toggle session background highlighting Timezone: Configurable timezone (default: America/New_York) Highlight Kill Zones: Toggle kill zone emphasis Visual: Regime Background: Toggle regime-adaptive background tinting SMA Trend Ribbon: Toggle ribbon fill between fast and mid SMA Candle Heatmap Coloring: Toggle institutional activity-based candle colors Show Prior Day H/L: Toggle PDH/PDL reference lines HUD Panel: Toggle with configurable position How to Use This Indicator Step 1: Check the Regime Before entering any trade, check what regime the market is in. Trend Up/Down = directional strategies. Range = mean-reversion. Squeeze = wait for breakout. Volatile = reduce size or stand aside. Step 2: Verify Confidence A regime reading with 80+ confidence is reliable. Below 50 suggests the market is in transition — be cautious. Step 3: Check the Session Kill Zones and Power Hour produce the most reliable moves. Lunch hour and Asian session moves are less reliable for most instruments. Step 4: Watch for Signals BULL/BEAR CONFLUENCE is the highest-conviction signal — all factors agree. SQZ BREAK signals high-energy breakouts. VWAP RECLAIM/REJECT provides key level context. Step 5: Use Trend Quality for Filtering R-squared above 0.6 means the trend is clean and tradeable. Below 0.4 means the trend is choppy — consider waiting for cleaner conditions. Best Practices The regime classification is most reliable on timeframes of 5 minutes and above Session features are most relevant for instruments with clear session structures (equities, futures, major forex) Squeeze conditions can persist for extended periods. Do not assume a squeeze will break immediately. Regime transitions (Mixed state) are the most dangerous periods. Consider reducing exposure during transitions. The institutional score is a heuristic — use it as one input among many, not as a standalone signal SMA crosses are lagging by nature. They confirm trend changes rather than predict them. Combine this indicator with structure or momentum tools for entry timing — this indicator provides context, not entries. Limitations Regime detection uses lagging indicators (SMAs, BB percentile). Regime changes are confirmed after they occur, not predicted in advance. The six-regime classification is a simplification. Real markets exist on a continuum, not in discrete states. Session times are hardcoded for EST timezone sessions. Instruments traded primarily in other timezones may need different session definitions. R-squared measures linearity, not direction. A perfectly linear downtrend has the same R-squared as a perfectly linear uptrend. The institutional activity score is estimated from available data (body ratio, volume, BB position). True institutional activity detection requires order flow data not available in Pine Script. VWAP resets daily on most instruments. Intraday VWAP slope is most meaningful for day trading timeframes. Kill Zone highlighting assumes EST-based session times. Adjust the timezone input for your local market. Technical Implementation Built with Pine Script v6 using: Three-dimensional regime classification (SMA alignment + VWAP slope + BB volatility) Regime confidence scoring with per-regime formulas Session detection using time() with configurable timezone R-squared trend quality via ta.correlation() Annualized historical volatility with percentile ranking Wyckoff effort/result absorption detection Multi-factor institutional activity scoring Priority-based signal system with 6 tiers and cooldown anti-overlap Volatility-adaptive gradient background coloring Aurora-themed SMA ribbon with alignment-responsive colors 10 alert conditions covering regime changes, SMA crosses, absorption, and clean trend detection Originality Statement This indicator is original in its comprehensive regime detection and session awareness integration. While SMA alignment and Bollinger squeeze are established concepts, this indicator is justified because: The three-dimensional regime classification (SMA + VWAP slope + BB volatility) produces a more robust state detection than any single method Regime confidence scoring quantifies how clearly the market fits the detected state, providing actionable uncertainty information Session awareness with quality ratings integrates time-of-day context directly into the regime framework R-squared trend quality measurement distinguishes between clean tradeable trends and choppy non-directional trends The priority-based signal system with 6 tiers ensures only the most important events are displayed Candle heatmap coloring driven by regime and trend quality provides immediate visual context The Aurora Borealis theme with volatility-adaptive background creates a dynamic visual environment that changes character with market conditions Squeeze duration tracking and regime duration counting provide temporal context for current conditions 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. Regime detection classifies current market conditions based on historical data — it does not predict future regime changes. Markets can transition between regimes without warning. Squeeze conditions do not guarantee breakouts. Session quality ratings are generalizations that may not apply to all instruments or market conditions. Past regime patterns do not guarantee future behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Vestige Liquidity Terrain [JOAT]Vestige Liquidity Terrain Introduction The Vestige Liquidity Terrain is an open-source liquidity analysis indicator built in Pine Script v6. It detects, scores, and tracks liquidity zones — price levels where resting stop orders and limit orders tend to cluster — using pivot-based detection, volume-weighted intensity, a multi-factor scoring system, sweep tracking, and trade planning overlays. The indicator identifies where liquidity exists, how strong each zone is, whether it has been swept, and which zones are the most probable targets for price to reach next. Liquidity is the fuel that moves markets. Institutional traders need liquidity to fill large orders, and they often engineer price moves toward areas where stop orders are concentrated. Understanding where liquidity sits, how fresh it is, and whether it has confluence with key levels gives traders a significant edge in anticipating where price is likely to travel. Why This Indicator Exists Most liquidity zone indicators simply draw boxes at swing highs and lows. They treat all zones equally and provide no context about which zones matter most. This indicator goes further: Pivot-Based Zone Detection: Uses configurable left/right pivot bars to identify swing highs and lows where resting orders accumulate. Zones are padded by a tick-based distance to account for the cluster of stops around a level. Volume-Weighted Intensity: Each zone's creation is filtered by normalized volume. Only zones formed during meaningful volume activity are tracked, filtering out noise from thin-market pivots. Zone Merging: When a new pivot forms within a configurable tick distance of an existing zone, the zones are merged rather than stacked. This prevents redundant zones and reflects the reality that nearby levels form a single liquidity pool. Multi-Factor Scoring (0-100): Each zone receives a dynamic score based on touches, freshness, confluence with key levels, reaction speed, session alignment, and regime context. This score determines visual prominence and whether the zone qualifies as a trade planning target. Sweep Tracking: When price sweeps through a zone, the event is recorded. Swept zones receive a score penalty because their liquidity has been partially consumed. Trade Planning Targets: The nearest high-scoring zones above and below current price are highlighted as potential targets, with dashed lines extending forward and score labels. Zone Scoring System The scoring system is what separates this indicator from basic liquidity zone tools. Each zone's score is computed from multiple factors: Touch Score (max 60): Each time price touches a zone without sweeping it, the zone gains 12 points. More touches mean more orders have accumulated at that level. Capped at 60 to prevent over-weighting. Freshness (max 40): Newer zones score higher. The freshness component starts at 40 and decays by 0.8 points per bar of age. Old, stale zones that have not been tested lose relevance. Confluence (max 40): Proximity to key institutional levels adds 10 points each. The indicator checks confluence with Prior Day High, Prior Day Low, Prior Week High, Prior Week Low, VWAP, Opening Range High, and Opening Range Low. A zone that aligns with multiple key levels is significantly more important. Reaction Speed (max 22): The ratio of fast reactions (price bouncing within 2 bars of touching the zone) to total reactions. Zones that produce quick, sharp reactions are more likely to hold in the future. Session Alignment: The ratio of RTH (Regular Trading Hours) touches to overnight touches modifies the score. Zones tested during high-liquidity sessions carry more weight. Score modifiers are then applied: Recently swept zones receive a 0.55x multiplier — their liquidity is partially consumed Midday zones without confluence receive a 0.60x penalty — low-conviction levels Open Drive zones with few touches receive a 0.75x penalty — too early to confirm Power Hour zones with confluence receive a 1.10x boost — high-conviction late-session levels Trend-aligned zones receive a 1.05x boost Mean-reversion zones without confluence receive a 0.70x penalty Regime Detection The indicator includes its own regime detection engine based on VWAP slope analysis: Trend Up: VWAP slope exceeds the threshold AND price is at or above VWAP — directional momentum is present Trend Down: VWAP slope is below the negative threshold AND price is at or below VWAP Mean Reversion: VWAP slope is flat (within threshold) AND price is within a configurable band of VWAP — range-bound conditions Mixed: Conditions do not clearly fit any category The regime state feeds into the zone scoring modifiers. In a trending regime, zones aligned with the trend direction receive a boost. In mean-reversion conditions, zones without confluence are penalized because they are less likely to produce clean reactions. A confidence percentage is calculated for each regime classification, giving traders a sense of how clearly the market fits the detected state. Sweep Detection and Classification When price moves through a liquidity zone, the indicator records a sweep event: The sweep bar and price are stored for each zone A "SWEEP" label is placed on the chart with configurable display modes (Off, First Only, Recent Only) Swept zones receive a significant score penalty (0.55x multiplier) A cooldown prevents multiple sweep labels from stacking on adjacent bars The sweep price is tracked separately from the zone price, allowing analysis of how far price extended beyond the zone Sweeps are important because they represent liquidity being consumed. A zone that has been swept once still has some residual significance (remaining orders), but its primary liquidity pool has been tapped. Trade Planning Overlays The indicator identifies the nearest high-scoring zones above and below current price as potential targets: Only zones with scores above a configurable minimum (default 60) qualify as targets Target lines are drawn as dashed lines extending forward by a configurable number of bars Each target line includes a label showing the zone's score percentage This gives traders a clear view of where the nearest significant liquidity sits in each direction Visual Design The indicator uses a "Deep Ocean" color theme — bioluminescent aqua, deep ocean blue, coral orange, tidal cyan, kelp green, and pearl white on an abyssal dark background: Zone Boxes: Color reflects directional expectation (continuation vs rejection blend). Opacity adapts to distance from price, age, and score — nearby fresh high-score zones are more visible, distant old low-score zones fade. Border Width: Score-based — zones scoring 80+ get 3px borders, 50+ get 2px, others get 1px Sweep Labels: Coral-colored "SWEEP" labels at the sweep location Target Lines: Dashed lines in bioluminescent aqua (above) and coral (below) with score labels Key Levels: PDH/PDL, PWH/PWL drawn as reference lines with theme-aware colors Opening Range: ORH/ORL lines marking the first N minutes of the session VWAP: Plotted as a reference line for regime context HUD Dashboard The real-time HUD displays: Key level prices and distances: PDH, PDL, PDC, PWH, PWL, ORH, ORL Nearest liquidity targets above and below with scores Current regime state with confidence percentage Time-of-day classification (Open Drive, Midday, Power Hour, RTH, Off) Active zone count Input Parameters Zone Detection: Pivot Left/Right Bars: Lookback for swing detection (default: 5/3) Max Zones Stored: Maximum tracked zones (default: 20) Zone Padding: Tick-based padding around pivot levels (default: 6) Merge Distance: Tick distance for merging nearby zones (default: 10) Volume Filter: Minimum normalized volume for zone creation (Low/Mid/High) Zone Scoring: Min Score to Draw: Minimum score for a zone to be visible (default: 25) Max Visible Zones: Limit on simultaneously displayed zones (default: 10) Reaction Window: Bars to check for reaction after touch (default: 6) Reaction Move: Tick threshold for a valid reaction (default: 14) Fast Reaction: Maximum bars for a "fast" reaction classification (default: 2) Context: VWAP Slope Length: Lookback for regime detection (default: 20) Trend Slope Threshold: Minimum slope for trend classification Mean-Reversion Band: Maximum distance from VWAP for MR classification Time-of-Day periods: Open Drive, Midday, Power Hour boundaries Trade Planning: Min Score for Targets: Minimum zone score to qualify as a target (default: 60) Extend Bars: How far forward target lines extend (default: 200) How to Use This Indicator Step 1: Identify High-Score Zones Focus on zones with scores above 60. These have multiple touches, are relatively fresh, and have confluence with key levels. They represent the most significant liquidity pools. Step 2: Check the Regime In a trending regime, liquidity zones in the trend direction are more likely to be swept (taken out) as price reaches for stops. In mean-reversion conditions, zones are more likely to produce bounces. Step 3: Use Targets for Trade Planning The trade planning lines show you where the nearest significant liquidity sits. In a long trade, the target above is your potential take-profit area. The target below is where your stop might be hunted. Step 4: Watch for Sweeps When a zone is swept, its liquidity has been consumed. This often precedes a reversal as the institutional objective (filling orders) has been achieved. A sweep at a high-score zone with confluence is a particularly strong reversal signal. Step 5: Monitor Zone Lifecycle Zones are born, tested, and eventually swept or aged out. Fresh zones with rising touch counts are gaining significance. Old zones with no recent touches are losing relevance. The scoring system handles this automatically. Best Practices Liquidity analysis works best on instruments with reliable volume data and sufficient market depth Higher-timeframe zones (1H, 4H) tend to be more significant than lower-timeframe zones Zones with confluence (near PDH/PDL, PWH/PWL, VWAP) are significantly more reliable than isolated zones Not all sweeps lead to reversals — sometimes price sweeps through and continues. Confirm with other analysis. The regime detection helps contextualize zones but is not infallible. Use it as one input among many. Adjust the volume filter based on your instrument. Highly liquid instruments may need "High" to filter noise. Less liquid instruments may need "Low" to detect zones at all. The merge distance should be calibrated to your instrument's typical spread and tick size Limitations Pivot-based zone detection has an inherent delay equal to the right-bar lookback period The scoring system uses heuristics, not a statistical model. Scores indicate relative importance, not probability. Volume-based filtering requires reliable volume data. Forex volume from most brokers represents tick volume, not true exchange volume. Zone merging can occasionally combine zones that a manual analyst would keep separate The indicator tracks a maximum number of zones. In very active markets, older zones may be pruned before they are swept. Sweep detection is based on price crossing through the zone boundary. It does not distinguish between genuine institutional sweeps and random price fluctuations through a level. Time-of-day and session features are most relevant for instruments with clear session structures (equities, futures). 24-hour markets like crypto may benefit less from session-based scoring. Technical Implementation Built with Pine Script v6 using: 16 parallel arrays for comprehensive zone data tracking (price, type, touches, scores, reactions, etc.) Zone merging algorithm that consolidates nearby pivots into single liquidity pools Multi-factor scoring function with session, regime, and time-of-day modifiers Distance-based and age-based visual fading for clean chart presentation Score-based border width for visual hierarchy Directional expectation coloring (continuation vs rejection blend) VWAP slope-based regime detection with confidence calculation Trade planning line management with score-filtered target identification Sweep tracking with cooldown and configurable display modes Alert conditions for sweeps, regime changes, and high-score zone creation Originality Statement This indicator is original in its comprehensive liquidity zone lifecycle management. While pivot-based zone detection exists in other scripts, this indicator is justified because: The multi-factor scoring system (touches, freshness, confluence, reaction speed, session alignment, regime modifiers) provides a quantified assessment of zone significance not available in basic zone indicators Zone merging prevents the visual clutter of overlapping zones at similar price levels Sweep tracking with score penalties creates a dynamic zone lifecycle — zones are born, tested, scored, swept, and aged out Regime-aware scoring modifiers adjust zone significance based on current market conditions Time-of-day integration (Open Drive, Midday, Power Hour) reflects the reality that liquidity behavior changes throughout the trading session Trade planning overlays with score-filtered targets provide actionable forward-looking information The Deep Ocean theme provides intuitive visual hierarchy where zone importance is immediately apparent from color intensity and border width 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. Liquidity zone analysis identifies areas of probable order concentration based on historical price behavior — it does not predict future price movement. Zones can be swept without reversing, and high-score zones can fail. Past liquidity patterns do not guarantee future behavior. Always use proper risk management and never risk more than you can afford to lose. The author is not responsible for any losses incurred from using this indicator. -Made by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
VWAP daily, weekly, monthly, yearlyVWAP Multi-Timeframe (D/W/M/Y) - Pro Clean Version This multi-timeframe VWAP indicator is designed for traders who need a clear overview of institutional levels without cluttering their charts. Unlike standard scripts, it uses a clean-break logic that eliminates the annoying diagonal lines between sessions. Key Features: Multi-Timeframe View: Daily, Weekly, Monthly, and Yearly VWAPs all in one place. Ultra-Clean Design: Automatic line breaks at the end of each period for maximum readability. Standard Deviation Corridors: Color-coded fills between bands (1σ, 2σ, 3σ) with optimized Z-order to keep price action visible. Extended Price Lines: Higher timeframe VWAPs (W/M/Y) project a horizontal line and a real-time price label for easy targeting or pivot reference. Perfect Scale Sync: Fully synchronized with your candlestick chart, even during aggressive zooming or scrolling. Trading Tip: Watch for "confluences" (clusters) where the Daily VWAP meets the Weekly VWAP to identify high-probability reversal or bounce zones.
Pine Script®指标
由tradernoobx提供
VWAP daily, weekly, monthly, yearlyVWAP Multi-Timeframe with Colored Corridors This indicator provides a comprehensive View Weighted Average Price (VWAP) analysis across multiple timeframes, featuring highly customizable visual zones and individual label controls. 🚀 Key Features 📅 Multi-Timeframe Analysis Track Daily, Weekly, Monthly, and Yearly VWAP simultaneously on a single chart. Compare short-term intraday value with long-term structural trends effortlessly. 📊 Dynamic Standard Deviation Bands Includes 3 levels of Standard Deviation (1σ, 2σ, 3σ) to identify overextended or value areas. Colored Corridors: Features background fills between bands to visualize "value zones" (Inner, Middle, and Outer). Default Focus: Optimized by default to highlight the Outer 2-3σ corridor in a sleek blue shade (#6d94fe) at 7% opacity for a premium, non-cluttered look. 🎨 Total Visual Control Independent Labels: Every VWAP label (Daily, Weekly, etc.) can have its own color, position, and offset. Visibility Toggles: Easily toggle individual VWAP lines or specific corridor fills on/off to suit your strategy. Modern UI: Clean, auto-updating price labels prefixed with "VWAP" for instant clarity. 🛠️ How to Use Identify Value: Use the standard deviation corridors to spot potential reversals or trend continuations. Contextualize Trend: Observe how the shorter-term VWAP interacts with Monthly or Yearly levels to gauge overall market sentiment. Customize: Head to the "Settings > Inputs" tab to adjust the transparency of the corridors or change the label colors to match your favorite theme. Perfect for day traders and swing traders looking for a professional-grade VWAP toolkit.
Pine Script®指标
由tradernoobx提供
Liquidity Absorption Detector [JOAT]Liquidity Absorption Detector Introduction The Liquidity Absorption Detector (LAD) is an advanced open-source multi-timeframe volume analysis indicator that identifies institutional liquidity absorption zones through VWAP deviation analysis, volume surge detection, and oscillator sigma gap confirmation. This indicator reveals when smart money is actively absorbing liquidity at extreme price deviations from VWAP across 2-minute, 5-minute, and 15-minute timeframes, providing traders with high-probability reversal zones where institutional players are positioning. Unlike basic VWAP indicators that simply plot a mean line, LAD quantifies the statistical deviation from VWAP using three calculation methods (Price Volatility, Z-Score, Spread StDev), detects volume surges relative to historical averages, and confirms absorption through oscillator divergence analysis. The indicator aggregates signals across multiple timeframes to identify zones where 2 or more timeframes show simultaneous absorption, indicating institutional-grade conviction. ETH chart 45m Timeframe with VOL Signals for huge institutional candlesticks Why This Indicator Exists This indicator addresses the challenge of identifying institutional liquidity absorption in real-time. When large players enter positions, they create detectable signatures: extreme VWAP deviations combined with volume surges and oscillator divergences. LAD systematically detects these patterns across multiple timeframes to reveal: Multi-Timeframe VWAP Deviation: Tracks price deviation from VWAP on 2m, 5m, and 15m timeframes using adaptive thresholds Volume Surge Detection: Identifies when volume exceeds historical average by customizable multiplier (default 2.25x) Relative Volume Filtering: Ensures absorption occurs during meaningful volume periods (RVOL >= 0.6) Oscillator Sigma Gap: Confirms absorption through divergence between VWAP deviation and oscillator z-scores 9-Layer Gradient Ribbon: Visualizes absorption intensity through dynamic color-coded ribbon Institutional Dashboard: Displays real-time metrics including order flow, liquidity pressure, absorption strength, and signal quality Each component provides unique intelligence. VWAP deviation shows price extremes, volume surge shows institutional activity, RVOL filters noise, oscillator gap confirms divergence, and timeframe alignment shows conviction. Together, they create a comprehensive institutional absorption detection system. Core Components Explained 1. Multi-Timeframe VWAP Deviation Analysis LAD calculates VWAP deviation across three timeframes using your selected method: f_calculate_vwap_deviation(float price, float vwap_val, string method) => float result = 0.0 if method == "Price Volatility" price_stdev = ta.stdev(price, 20) denominator = price_stdev * 1.5 result := (price - vwap_val) / denominator // Additional methods: Z-Score, Spread StDev result The indicator requests data from 2m, 5m, and 15m timeframes and applies adaptive thresholds based on volatility regime. When deviation exceeds threshold AND volume surge is detected, an absorption signal is generated. 2. Volume Surge & RVOL Filtering Volume surge detection identifies when current volume exceeds the moving average by your specified multiplier: f_volume_surge_detected(int lookback, float multiplier) => float avg_vol = ta.sma(volume, lookback) bool surge = volume > avg_vol * multiplier surge RVOL (Relative Volume) filtering ensures signals occur during meaningful volume periods, eliminating low-liquidity false signals. 3. Oscillator Sigma Gap Confirmation LAD calculates the sigma gap between VWAP deviation and oscillator z-scores (Williams %R and CVD): float gap_willr = math.abs(dev_5m - willr_zscore) float gap_cvd = math.abs(dev_5m - cvd_zscore) float osc_sigma_gap = math.max(gap_willr, gap_cvd) bool gap_confirmed = osc_sigma_gap >= gap_threshold When oscillators diverge from VWAP deviation by 4.5+ sigma, it confirms institutional absorption is occurring despite price extremes. 4. Signal Aggregation & Confluence LAD aggregates signals across all three timeframes: int buy_signals = (signal_2m and dev_2m < 0 ? 1 : 0) + (signal_5m and dev_5m < 0 ? 1 : 0) + (signal_15m and dev_15m < 0 ? 1 : 0) bool absorption_buy_zone = buy_signals >= 2 Absorption zones require 2+ timeframe confirmation, ensuring high-probability setups. Buy zones occur when price is below VWAP with volume surge across multiple timeframes. Sell zones occur when price is above VWAP with volume surge. 5. 9-Layer Gradient Ribbon Visualization The gradient ribbon visualizes absorption intensity through 9 transparent layers between VWAP and the wave level: float wave_ratio = math.min(0.65, math.abs(dev_5m) / threshold_5m) float wave_level = current_vwap + ((close - current_vwap) * wave_ratio) // 9 layers calculated with progressive transparency Ribbon color indicates direction (cyan for buy absorption, magenta for sell absorption) and intensity increases with deviation magnitude. 6. Institutional Dashboard Metrics The dashboard displays four key institutional metrics: Order Flow: CVD z-score measuring buy/sell imbalance (threshold: 1.5) Liquidity Pressure: Average deviation across timeframes vs threshold Absorption Strength: Number of timeframe confirmations (2/3 or 3/3) Signal Quality: Deviation strength relative to threshold as percentage Additional metrics include Oscillator Gap confirmation, RVOL status, and zone classification (Buy Zone, Sell Zone, Neutral). Showing Liquidity Sell Zone about to occur based of confluences: Visual Elements VWAP Line: Dynamic color (cyan for buy zones, magenta for sell zones, neutral otherwise) Threshold Bands: 2m, 5m, and 15m deviation bands showing absorption thresholds 9-Layer Gradient Ribbon: Progressive transparency showing absorption intensity Background Zones: Cyan for buy absorption zones, magenta for sell absorption zones Absorption Labels: "LIQUIDITY ABSORPTION" or "LIQUIDITY DISTRIBUTION" with signal details Extreme Labels: "EXTREME ABSORPTION/DISTRIBUTION" for highest conviction signals Dashboard: Real-time institutional metrics in top-right corner Input Parameters Core Parameters: VWAP Calculation: Session Anchored or Continuous Deviation Method: Price Volatility, Z-Score, or Spread StDev Volume Lookback: Period for volume average (default: 45) Volume Surge Multiplier: Threshold for surge detection (default: 2.25x) RVOL Threshold: Minimum relative volume (default: 0.6) Multi-Timeframe Thresholds: 2m Threshold: Deviation threshold for 2-minute timeframe (default: 8.0) 5m Threshold: Deviation threshold for 5-minute timeframe (default: 8.0) 15m Threshold: Deviation threshold for 15-minute timeframe (default: 4.0) Visualization: Show Absorption Zones: Toggle background coloring Show VWAP Line: Toggle VWAP display Zone Transparency: Adjust background opacity (default: 85%) Ribbon Brightness: Adjust gradient ribbon intensity (-30 to +30) How to Use This Indicator Step 1: Identify Absorption Zones Watch for cyan (buy) or magenta (sell) background zones indicating 2+ timeframe confirmation of absorption. Step 2: Check Dashboard Metrics Verify Order Flow, Liquidity Pressure, and Absorption Strength align with the zone direction. Signal Quality >100% indicates strong deviation. Step 3: Confirm with Oscillator Gap Look for "CONF" status in Osc Gap row, indicating oscillator divergence confirms absorption. Step 4: Monitor RVOL Ensure RVOL shows "HIGH" status, confirming absorption occurs during meaningful volume. Step 5: Use Gradient Ribbon for Intensity Brighter, more opaque ribbon indicates stronger absorption. Ribbon direction shows whether absorption is bullish (cyan) or bearish (magenta). Step 6: Wait for Extreme Signals Highest probability setups occur when "EXTREME ABSORPTION" or "EXTREME DISTRIBUTION" labels appear with 2+ timeframe confirmation. Best Practices Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for reliable signals Absorption zones work best as reversal signals at price extremes Combine with higher timeframe trend analysis - absorption against trend is lower probability RVOL filter is critical - disable only on very low timeframe charts where volume is erratic Oscillator gap confirmation adds significant edge - wait for "CONF" status when possible Extreme signals (3/3 timeframe confirmation) have highest win rate but occur less frequently Use gradient ribbon intensity to gauge absorption strength - brighter = stronger Dashboard metrics provide context - high Signal Quality (>150%) indicates extreme deviation Settings with all features turned on and with Continous VWAP Calculation instead of default Anchored Calculation & Deviation Method Z score: Indicator Limitations Requires sufficient volume data - may not work well on illiquid instruments or off-market hours Multi-timeframe analysis requires data availability on all requested timeframes VWAP deviation thresholds may need adjustment for different instruments and volatility regimes Absorption zones indicate institutional activity but don't guarantee immediate reversal False signals can occur during strong trending markets where institutions continue adding to positions Oscillator gap confirmation adds lag - early signals may not have gap confirmation yet Gradient ribbon visualization requires sufficient price movement to display properly Dashboard metrics are real-time snapshots and can change rapidly during volatile periods Technical Implementation Built with Pine Script v6 using: Multi-timeframe security requests with proper lookahead settings Three VWAP deviation calculation methods (Price Volatility, Z-Score, Spread StDev) Adaptive threshold system based on volatility regime and percentile analysis Volume surge detection with customizable lookback and multiplier RVOL filtering to eliminate low-liquidity false signals Oscillator sigma gap calculation using Williams %R and CVD z-scores 9-layer gradient ribbon with progressive transparency Real-time institutional dashboard with 8 key metrics Signal aggregation across 2m, 5m, and 15m timeframes The code is fully open-source and can be modified to suit individual trading styles. Originality Statement This indicator is original in its multi-timeframe institutional absorption detection approach. While VWAP deviation and volume analysis are established concepts, this indicator is justified because: It combines VWAP deviation analysis across three timeframes with volume surge detection and RVOL filtering The oscillator sigma gap confirmation provides unique divergence-based validation not found in standard VWAP indicators Adaptive threshold system adjusts for volatility regime using percentile analysis Signal aggregation requires 2+ timeframe confirmation, significantly reducing false signals 9-layer gradient ribbon provides intuitive visualization of absorption intensity Institutional dashboard synthesizes multiple metrics (Order Flow, Liquidity Pressure, Absorption Strength, Signal Quality) into actionable intelligence Integration of CVD z-score and Williams %R z-score for oscillator gap calculation is unique Each component contributes unique information: VWAP deviation shows price extremes, volume surge shows institutional activity, RVOL filters noise, oscillator gap confirms divergence, timeframe alignment shows conviction, and the dashboard synthesizes all metrics. The indicator's value lies in presenting these complementary perspectives simultaneously with a unified absorption detection system. Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. -Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Piv X**Title:** Piv X: Confluence-Based Market Structure & Volume Analyzer **Introduction** Piv X is a comprehensive market structure analysis tool designed to grade the quality of Pivot Points using a composite "Confluence Score." Unlike standard indicators that simply identify local highs and lows based on price alone, this script evaluates the *strength* of every pivot by cross-referencing it against volume data, momentum divergences, multi-timeframe structure, and institutional key levels. **Concept & Methodology** The core functionality of this script builds upon a **Dynamic Pivot Quality Scoring System**. When a pivot point is detected (using an ATR-based dynamic lookback), the script runs a background analysis on 10+ technical factors to assign a "Confluence Score" (0-100). The score is calculated based on the accumulation of the following factors: 1. **Volume Anomalies**: Detects volume spikes at the pivot, suggesting institutional participation. 2. **Momentum Divergence**: Checks for RSI and Williams %R divergences relative to price action to identify exhaustion. 3. **Liquidity Mechanics**: Identifies "Swing Failure Patterns" (SFP) and "Sweeps" where price pierces a previous structure but closes back inside. 4. **Multi-Timeframe Alignment**: Verifies if the pivot aligns with Higher Timeframe (HTF) trends and structures to filter out counter-trend noise. 5. **Key Level Interaction**: Rewards pivots that form near Daily/Weekly Highs or Lows. 6. **Fair Value Gap (FVG) Fills**: Detects if the pivot is reacting to a market imbalance fill. **Unique Feature: Williams %R Divergence Anchored VWAP** This tool introduces a logic-driven Anchored VWAP. Instead of arbitrarily anchoring VWAPs to high/low dates, the script automatically anchors a VWAP from the exact candle where a Williams %R Momentum Divergence is confirmed. This allows traders to visualize the "true cost basis" of participants who entered specifically on the momentum reversal signal. **How to Use** 1. **Golden Zones (High Confluence)**: Pivots that achieve a high Confluence Score (e.g., >80) are highlighted with a distinct "Golden" border and background. These represent high-probability Support/Resistance levels backed by multiple forms of technical evidence. 2. **Standard Zones (Normal Confluence)**: Pivots with moderate scores are shown in standard Green/Purple. These are valid structure points but may require additional confirmation before trading. 3. **Trend Filtering**: The "Trend System" overlay (using EMA Clouds and RSI filters) provides visual context for the dominant trend direction, helping traders avoid taking structure signals against the main flow. 4. **Market Structure Shifts (MSS)**: The script automatically plots CHoCH (Change of Character) lines to alert traders when the sequence of Higher Highs or Lower Lows has been broken, often signaling a trend reversal. **Settings** * **Pivot Detection**: Adjust the ATR Multiplier to control the sensitivity of pivot detection. * **Filters**: Toggle specific scoring factors (like Session Logic or HTF Confluence) to customize how strict the Scoring System is. * **Visuals**: Enable/Disable specific VWAP periods (Weekly, Monthly, Yearly) to keep the chart clean. **Disclaimer** This tool is intended for market analysis and educational purposes only. Past performance of these setups does not guarantee future results.
Pine Script®指标
由RickyTSpanish提供
Tactical DeviationThis indicator is a mean-reversion system grounded in statistical deviation from the Volume Weighted Average Price (VWAP). Unlike standard Bollinger Bands or static envelopes, the "Tactical Deviation" script integrates Multi-Timeframe Analysis, Dynamic Volatility Scaling, and Market Structure Validation to identify high-probability exhaustion points. Underlying Concepts & Methodology The core philosophy of this script is that price tends to revert to its volume-weighted mean after reaching statistical extremes. However, identifying true extremes requires more than just standard deviation. This script employs a three-layer validation filter: Multi-Timeframe Confluence: The script calculates VWAP and Standard Deviation bands simultaneously for Daily, Weekly, and Monthly timeframes. It allows traders to visualize where short-term price action deviates significantly from longer-term volume trends. A key feature is the "Confluence Mode," which filters out noise by only flagging opportunities where price is overextended on multiple timeframes (e.g., Daily AND Weekly) simultaneously. Dynamic Volatility Adjustment (Originality): Standard deviation bands are often too static. This script includes a "Dynamic Multiplier" algorithm that ingests Average True Range (ATR) data to adjust the band width. Logic: Multiplier_Adjusted = Base_Multiplier * (1 + (ATR / Price * 10)) This ensures that during high-volatility events, the bands expand to prevent premature signals, while finding tighter entries during consolidation. Structural & Volume Validation: Many mean-reversion indicators fail by "catching a falling knife." To mitigate this, this script does not signal solely on band touches. It requires two additional confirmations: Pivot Confluence: The price must be interacting with a recent Swing Low (for longs) or Swing High (for shorts) specifically calculated within a user-defined lookback period. Volume Injection: A signal is only valid if volume exceeds its moving average by a defined factor (default 1.5x) or shows significant momentum, confirming institutional participation at the reversal point. Features & Settings Deviation Clouds: Visualizes the 1σ-3σ zones with customizable transparency to highlight areas of statistical significance without cluttering the chart. Signal Filter: RSI Filter: Optional integration to ensure momentum is also overbought/oversold alongside price deviation. Pivot Lookback: Adjusts the sensitivity of the market structure detection. Info Panel: A dashboard displaying the current deviation (in Sigma) for all three monitored timeframes in real-time. How to Use This tool is designed for mean reversion trading. Identify Extremes: Watch for price entering the outer deviation clouds (2σ or 3σ) on the Daily or Weekly VWAP. Wait for Confirmation: Do not enter blindly on a band touch. Wait for the signal triangle, which confirms that Volume, RSI (if enabled), and Pivot Structure have aligned to suggest a probable reversal. Risk Management: Use the VWAP itself (the center line) as a dynamic take-profit target, as price statistically gravitates back to this volume-weighted center.
Pine Script®指标
由RickyTSpanish提供
1
VWAP 3 SignalsVWAP D/W/M Dashboard is a simple trend / bias dashboard that compares the current price against three anchored VWAP levels: Daily VWAP Weekly VWAP Monthly VWAP A compact table is displayed in the top-right corner of the chart with 5 rows and 2 columns (Instrument / Status). For each VWAP timeframe, the script shows: Bullish → price is above the VWAP Bearish → price is below the VWAP In addition, the dashboard includes volatility-based market balance readings using ±1 Standard Deviation bands around the anchored VWAP for: Weekly STD Monthly STD STD logic: Balanced market → price is inside the ±1 deviation zone Bullish → price is above +1 deviation Bearish → price is below −1 deviation What it’s used for This tool helps you quickly identify: multi-timeframe VWAP alignment (trend bias / direction) whether the market is trending (outside ±1 STD) or balanced/ranging (inside ±1 STD) It’s designed as a fast “at-a-glance” confirmation panel you can keep on screen while trading. Notes VWAP levels are calculated as anchored VWAPs that reset on each new day/week/month. The dashboard is meant for decision support, not as standalone financial advice.
Pine Script®指标
由panickyTuna45757提供
Rolling VWAP + Bands (Tighter Option) + 2.35/3.0 Re-entry AlertsRolling VWAP + σ Bands — How to Trade It This indicator plots a Rolling VWAP (a volume-weighted mean over a fixed bar window) along with standard deviation (σ) bands around that VWAP. The goal is simple: Quantify “normal” price distance from value (VWAP) Highlight statistical extremes and pullback zones Trigger re-entry signals when price returns from extreme deviation back inside key bands (±2.35σ and ±3σ) It’s designed for scalping and short-term decision support, especially on lower timeframes. What the Lines Mean VWAP (Rolling Window) The VWAP line represents the rolling “fair value” of price, weighted by volume across the lookback window. In ranges: VWAP acts like a gravity center In trends: VWAP acts like a dynamic mean that price may pull back toward before continuing σ Bands (Standard Deviation) The σ bands show how far price is from VWAP in statistical terms: ±1σ: Normal variation ±1.5σ: Common pullback / continuation zone in trends ±2σ: Extended move / trend stress ±2.35σ: Deep extension (often a “stretched” market) ±3σ: Rare extreme (often emotional moves / liquidation wicks) The Most Important Feature: 2.35σ and 3σ Re-entry Signals A Re-entry signal fires when price was outside a band on the previous bar and closes back inside that band on the current bar. Why this matters: The market pushed into an extreme zone… …then failed to stay there That “failure” often leads to a snap-back toward value (VWAP) or at least toward inner bands. In general, a 3σ re-entry is stronger than a 2.35σ re-entry, because it represents a more statistically extreme excursion that couldn’t hold. These are not “magic reversal calls” — they’re high-quality mean-reversion triggers when conditions favor mean reversion. Regime 1: Contracting Bands = Mean Reversion Environment What contracting bands imply When the bands tighten / contract, volatility is compressed. In this environment: Price tends to oscillate around VWAP Deviations are more likely to mean revert Extremes are clearer and usually followed by a return toward value How to trade mean reversion with this indicator Core idea: fade extremes and target VWAP / inner bands. A) Highest quality setups: 2.35σ and 3σ re-entries These are your “strongest” mean reversion events. Short bias setup Price closes outside +2.35σ or +3σ Then re-enters back below that band (signal) Typical targets: +2σ → +1.5σ → VWAP (depending on momentum) Long bias setup Price closes outside −2.35σ or −3σ Then re-enters back above that band (signal) Typical targets: −2σ → −1.5σ → VWAP Why these work best in contraction: The market is statistically “stretched” With low volatility, it’s harder for price to stay extended Re-entry often starts the “snap-back” leg B) Scaling / partial targets (optional approach) If you manage positions actively: Take partial profits at inner bands Use VWAP as the “magnet” target when conditions remain range-bound Risk framing for mean reversion Mean reversion fails when price keeps walking the band and volatility expands. Common failure clues: Bands begin to widen aggressively Price repeatedly holds outside outer bands VWAP slope starts to accelerate in one direction If that starts happening, the market is likely shifting to a trend regime. Regime 2: Expanding Bands + VWAP Slope = Trending Environment What trending conditions look like Trends typically show: VWAP sloping consistently Bands expanding (higher volatility) Price spending more time on one side of VWAP Pullbacks that stall near inner/mid bands instead of reverting fully In this environment, fading outer bands becomes lower probability because price can “ride” deviations during strong directional flow. How to trade continuation with this indicator Core idea: use VWAP and inner bands as pullback zones, then trade in the direction of the VWAP slope. A) Trend continuation zones (most practical) VWAP: first pullback level in mild trends ±1σ: shallow pullback continuation ±1.5σ: higher-quality pullback depth in stronger trends ±2σ: deep pullback / trend stress (more caution) Example (uptrend): VWAP rising Price pulls down into VWAP / +1σ / +1.5σ area Continuation entries are considered when price stabilizes and pushes back with the trend Example (downtrend): VWAP falling Price pulls up into VWAP / −1σ / −1.5σ area Continuation entries are considered when price rejects and rotates back down What to do with 2.35σ / 3σ re-entry signals in trends Re-entry signals can still occur in trends, but they should be interpreted differently: In strong trends, an outer-band re-entry may only produce a brief bounce/rotation, not a full mean reversion to VWAP. Targets may be more realistic at inner bands rather than expecting VWAP every time. In other words: Range: outer-band re-entries often aim toward VWAP. Trend: outer-band re-entries often aim toward 2σ / 1.5σ / 1σ first. Practical Regime Filter (simple visual read) This script intentionally doesn’t hard-code a “trend/range detector,” but you can visually infer regime quickly: Mean reversion bias Bands contracting or stable VWAP mostly flat Price crossing VWAP frequently Trend continuation bias Bands expanding VWAP clearly sloped Price holding mostly on one side of VWAP Notes on σ Calculation Options This indicator includes σ mode toggles: Unweighted σ (tighter): treats price deviations more “purely” and often gives bands that react more tightly to price behavior. Volume-weighted σ: emphasizes high-volume price action in the deviation calculation. Both are valid — test based on your market and timeframe. Summary Cheat Sheet Contracting bands (range / compression) Favor: mean reversion Best signals: 2.35σ and 3σ re-entry Typical targets: inner bands → VWAP Expanding bands + sloped VWAP (trend) Favor: continuation Use pullbacks to: VWAP / 1σ / 1.5σ as entry zones Outer-band re-entries: treat as rotation opportunities, not guaranteed full reversals
Pine Script®指标
由MonkeyPhone提供
Adaptive ML VWAP v1.0Overview Adaptive ML VWAP is a next-generation "Smart Indicator" that moves beyond static deviations (Standard Deviation). Instead of assuming market volatility is distributed normally (Bell Curve), this indicator uses a k-Nearest Neighbors (k-NN) machine learning engine to learn the specific volatility behavior of the asset you are trading. It answers the question: "When price extends away from VWAP, how far does it actually go before reversing?" The Adaptive ML Engine This script features a 5-Dimensional ML Engine that tracks every major extension or pullback event. It records: Deviation Depth (Normalized to ATR) Trend Slope (Is the trend steep or flat?) ADX (Trend Strength) VWAP Deviation (Relative Position) Time of Day (Session Context) When a new setup occurs, the k-NN engine instantly searches its memory for the 5 most similar historical events and calculates the probability of success based on what happened last time. Two Strategy Modes You can toggle the logic to suit your trading style: 1. Mean Reversion Mode (Default) "Fade The Move" Goal: Catch price at an exhaustion point returning to VWAP. Signal: Triggers when price touches a Smart Band and reverses back toward the center. k-NN Learning: Learns which conditions favor a snap-back. Best For: Ranging markets, Lunch hours, Choppy sessions. 2. Trend Following Mode "Ride The Move" Goal: Catch breakouts that are launching away from value. Signal: Triggers when price breaks out of the Inner Band (1.0). k-NN Learning: Learns which breakouts tend to extend to the Outer Bands. Best For: Morning Drives, News Events, Strong Trends. Visual Guide The indicator uses a Dynamic Gradient system to visualize risk/reward: Cyan Mist (0.5 - 1.0): The Value Zone. Noise area. Safe for trend entries. Deep Cyan (1.0 - 2.0): The Trend Zone. Price is moving proactively. Orange Glow (2.0 - 3.0): The Danger Zone. Price is statistically overextended. Reversals are highly probable here. "Fractal" Math Unlike standard indicators that break when you change timeframes, Adaptive ML VWAP uses Fractal Normalization. A "2.0 Band" on a 15-second chart means the same statistical extreme as a "2.0 Band" on a 4-hour chart. Auto-Adaptive Lookback: The indicator automatically boosts the ML memory (Lookback) on lower timeframes (seconds/minutes) where more noise requires larger sample sizes, ensuring robust predictions without manual tweaking. Settings Auto-Adapting Lookback: (Default: True) automatically increases Lookback to 100+ for seconds charts and 50+ for minute charts. Lookback (Events): Manual override base value (Default: 100). Strategy Mode: Toggle between Mean Reversion and Trend Following. k-Neighbors: The number of similar past events to structurally compare (Default: 5). Disclaimer: This tool is for educational purposes. Machine learning performance is dependent on market conditions and historical recursion.
Pine Script®指标
由Selfsimilarity提供
Smart Money Fluid [JOAT] Smart Money Fluid — Accumulation and Distribution Flow Analysis Smart Money Fluid tracks institutional-style accumulation and distribution patterns using a sophisticated combination of Money Flow Index, Chaikin Money Flow, and VWAP-relative price analysis. It aims to reveal whether larger participants may be accumulating (buying) or distributing (selling)—information that can precede significant price moves. What Makes This Indicator Unique Unlike single money flow indicators, Smart Money Fluid: Combines three different money flow methodologies into one composite signal Detects divergences between price and money flow automatically Identifies high-volume conditions that add conviction to signals Provides both the composite signal and individual component values Features a momentum histogram showing flow acceleration What This Indicator Does Combines multiple money flow indicators into a composite signal (0-100 scale) Identifies accumulation zones (potential institutional buying) and distribution zones (potential selling) Detects divergences between price and money flow Highlights high-volume conditions for stronger signals Tracks momentum direction within the flow Provides comprehensive dashboard with all component values Composite Calculation Explained The Smart Money Flow composite combines three proven money flow methodologies: // Component 1: Money Flow Index (MFI) - 40% weight // Measures buying/selling pressure using price and volume float mfi = 100 - (100 / (1 + mfRatio)) // Component 2: Chaikin Money Flow (CMF) - 30% weight // Measures accumulation/distribution based on close position within range float cmf = sum(mfVolume, length) / sum(volume, length) * 100 // Component 3: VWAP Price Strength - 30% weight // Measures price position relative to volume-weighted average price float priceVsVWAP = (close - vwap) / vwap * 100 // Final Composite (scaled to 0-100) float rawSMF = (mfi * 0.4 + (cmf + 50) * 0.3 + (50 + priceVsVWAP * 5) * 0.3) float smf = ta.ema(rawSMF, smoothLength) State Classification Accumulating (Green Zone) — SMF above accumulation threshold (default: 60). Suggests institutional buying may be occurring. Distributing (Red Zone) — SMF below distribution threshold (default: 40). Suggests institutional selling may be occurring. Neutral (Gray Zone) — SMF between thresholds. No clear accumulation or distribution detected. Divergence Detection The indicator automatically detects divergences using pivot analysis: Bullish Divergence — Price makes a lower low while SMF makes a higher low. This suggests selling pressure is weakening despite lower prices—potential reversal signal. Bearish Divergence — Price makes a higher high while SMF makes a lower high. This suggests buying pressure is weakening despite higher prices—potential reversal signal. Divergences are marked with "DIV" labels on the chart. Visual Features SMF Line with Glow — Main composite line with gradient coloring and glow effect Signal Line — Slower EMA of SMF for crossover signals Flow Momentum Histogram — Shows the difference between SMF and signal line with four-color coding: - Bright green: Positive and accelerating - Faded green: Positive but decelerating - Bright red: Negative and accelerating - Faded red: Negative but decelerating Zone Backgrounds — Green tint in accumulation zone, red tint in distribution zone Reference Lines — Dashed lines at accumulation/distribution thresholds, dotted line at 50 Strong Signal Markers — Triangles appear when accumulation/distribution occurs with high volume Divergence Labels — "DIV" markers when divergences are detected Color Scheme Accumulation Color — Default: #00E676 (bright green) Distribution Color — Default: #FF5252 (red) Neutral Color — Default: #9E9E9E (gray) Gradient Coloring — SMF line transitions smoothly between colors based on value Dashboard Information The on-chart table (top-right corner) displays: Current SMF value with state coloring State classification (ACCUMULATING, DISTRIBUTING, or NEUTRAL) Flow momentum direction (Up/Down with magnitude) MFI component value CMF component value with directional coloring Volume status (High or Normal) Active divergence detection (Bullish, Bearish, or None) Inputs Overview Calculation Settings: Money Flow Length — Period for flow calculations (default: 14, range: 5-50) Smoothing Length — EMA smoothing period (default: 5, range: 1-20) Divergence Lookback — Bars for pivot detection in divergence analysis (default: 5, range: 2-20) Sensitivity: Accumulation Threshold — Level above which accumulation is detected (default: 60, range: 50-90) Distribution Threshold — Level below which distribution is detected (default: 40, range: 10-50) High Volume Multiplier — Multiple of average volume for "high volume" classification (default: 1.5x, range: 1.0-3.0) Visual Settings: Accumulation/Distribution/Neutral Colors — Customizable color scheme Show Flow Histogram — Toggle momentum histogram Show Divergences — Toggle divergence detection and labels Show Dashboard — Toggle the information table Show Zone Background — Toggle colored backgrounds in accumulation/distribution zones Alerts: Await Bar Confirmation — Wait for bar close before triggering (recommended) How to Use It For Trend Confirmation: Accumulation during uptrends confirms buying pressure Distribution during downtrends confirms selling pressure Divergence between price trend and SMF warns of potential reversal For Reversal Detection: Bullish divergence at price lows suggests potential bottom Bearish divergence at price highs suggests potential top Strong signals (triangles) with high volume add conviction For Entry Timing: Enter longs when SMF crosses into accumulation zone Enter shorts when SMF crosses into distribution zone Wait for high volume confirmation for stronger signals Use divergences as early warning for position management Alerts Available SMF Accumulation Started — SMF entered accumulation zone SMF Distribution Started — SMF entered distribution zone SMF Strong Accumulation — Accumulation with high volume SMF Strong Distribution — Distribution with high volume SMF Bullish Divergence — Bullish divergence detected SMF Bearish Divergence — Bearish divergence detected Best Practices High volume during accumulation/distribution adds significant conviction Divergences are early warnings—don't trade them alone Use in conjunction with price action and support/resistance Works best on liquid markets with reliable volume data This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions. — Made with passion by officialjackofalltrades
Pine Script®指标
由officialjackofalltrades提供
Advanced custom multi MA signals (EMA/SMA/VWMA/VWAP) Features of Multi Moving Averages The biggest enemy in trading is "Noise." If you get swayed by minute fluctuations on the chart, you end up missing the forest for the trees. This indicator (Advanced Custom Multi MA Signals) is not just a simple line. By combining the three core elements of Price, Time, and Volume, it acts as a navigation system that visualizes the market's "true trend." In particular, the ability to analyze 5 moving averages simultaneously across various timeframes is akin to viewing a 3D map of the battlefield. Understanding Core Concepts This indicator supports 4 types of moving averages. It is crucial to clearly understand the nature of each tool. SMA (Simple Moving Average): The most basic average value. Since it produces fewer whipsaws (false signals), it is used as a baseline to judge the "long-term trend." EMA (Exponential Moving Average): Places more weight on recent prices. It reacts sensitively to market changes, making it advantageous for identifying "entry points." VWMA (Volume Weighted Moving Average): Incorporates "volume" into the price calculation. It acts as a "false signal filter," weeding out price moves that aren't backed by trading volume. VWAP (Volume Weighted Average Price): The benchmark price used by institutional investors for daily trading. It is calculated based on the session, regardless of the period settings. It is considered the "lifeline" of day trading. Indicator Settings Guide Open the settings window and tune it to fit your trading style. MA 01 ~ 05 (Moving Average Settings) MA Type: Select according to your purpose. (Generally, EMA is recommended for short-term analysis, SMA/VWMA for long-term). Length: Enter the period you wish to analyze (e.g., 20, 60, 120, 200). Timeframe: This is the core feature. It allows you to overlay moving averages from a higher timeframe (e.g., 4-hour, Daily) onto the chart you are currently viewing (e.g., 15-minute). Signal Option (Trading Signals) Golden Cross (GC) / Death Cross (DC): Captures the moment the short-term line breaks through the long-term line. You can run up to 3 strategies simultaneously. Ribbon Gradient (Trend Visualization) Represents the gap between two moving averages with color. As the color deepens and the width expands, it indicates a powerful trend; if the width narrows, it suggests a high probability of a trend reversal. 5 Usage Strategies The highlight of this indicator is the cross strategy utilizing the "Multi-Timeframe (MTF)" feature. Familiarize yourself with the 5 example strategies below and set up your own strategy based on your expertise. 💡 Tip 1. Do not go against the "Major Trend" (The Authority of the Weekly Candle) Settings: Set MA5 to . Interpretation: The Weekly 50 line is the "major trend line" managed by institutions and market makers. If the current price is above this line, maintain only a "Buy (Long)" bias; if below, maintain only a "Sell (Short)" bias. Adhering to this rule alone can help you avoid massive losses. 💡 Tip 2. Highly Reliable "Swing Signal" (Daily Golden Cross) Settings: In Signal 1, configure the Short MA to and the Long MA to . Interpretation: A Golden Cross where the 4-Hour 50 EMA breaks above the Daily 50 EMA often signifies a major "trend reversal" rather than a temporary rebound. This provides an ideal entry signal for office workers or swing traders who need high reliability. 💡 Tip 3. 4-Hour Candle as the Standard for "Precision Entry" Situation: When the Daily trend is rising (Bullish alignment). Strategy: While watching the 15-minute or 1-hour chart, set the indicator's Signal 2 to the cross of and . Interpretation: When the Daily chart is in an uptrend, a Golden Cross occurring on the 4-Hour chart marks "the point where a correction (pullback) ends and the rise resumes." This is the entry point with the best risk-to-reward ratio. 💡 Tip 4. Filtering Out "Fake Signals" (The Secret of Volume) Strategy: When creating a cross signal, try using VWMA (Volume Weighted) for the Long MA, even if you use EMA for the Short MA. Reason: A Golden Cross caused simply by a rise in price can be a trap. However, if it breaks through the heavy VWMA line accompanied by volume, it is strong evidence that "genuine liquidity" has entered. 💡 Tip 5. Remember the "Hierarchy" (Higher Timeframe Priority Rule) Principle: If a Golden Cross (Buy Signal) appears on the 4-Hour chart, but the Daily chart is in a Death Cross (Sell Signal) state, do not enter. Interpretation: A signal from a lower timeframe cannot overcome the power of a higher timeframe. The professional approach is to trade with significant volume only when signals align (Sync) in the order of Weekly > Daily > 4-Hour. Keep this indicator's dashboard feature on and always check the status of higher timeframes. Signal Generation Principle (Operating Mechanism) Signals are generated when the set short-term moving average and long-term moving average cross each other. 📈 1. Golden Cross (BUY = Buy Signal) Situation: The moment the short-term MA crosses upward from below the long-term MA. Principle: It implies that recent buying pressure has broken through the resistance level accumulated over a long period. 📉 2. Death Cross (SELL = Sell Signal) Situation: The moment the short-term MA crosses downward from above the long-term MA. Principle: It implies that recent selling pressure has collapsed the long-term support line. ※ If the candles are not displaying correctly or are flickering, please set the indicator's 'Visual order' to 'Bring to front' as shown in the image below. Investment Caution and Disclaimer Before using this indicator for actual trading, please strictly read the contents below. ① Auxiliary indicators are a "Compass," not a "Book of Prophecy." This indicator is merely a tool that mathematically calculates and visualizes past price data. A "magic indicator" that predicts future price fluctuations 100% accurately or guarantees profit does not exist. The signals provided are for reference only and must never be the sole basis for entry/exit decisions. ② The responsibility for all investments lies with "Yourself." Financial investment (Cryptocurrencies, Stocks, Futures, etc.) involves high volatility and is a risky activity that can result in the loss of some or all of the principal. The final responsibility for all trading results (profits and losses) incurred by utilizing this indicator lies entirely with the investor. The distributor and developer accept no legal responsibility for investment results under any circumstances. ③ Past data does not guarantee the future. Even a Golden Cross that fit perfectly in backtesting or past charts may operate differently in tomorrow's market situation (News, Macroeconomics, Unexpected Variables, etc.). Do not rely solely on technical analysis; you must conduct fundamental analysis and risk management in parallel. ④ Risk management is the top priority. No matter how promising a signal appears, "all-in trading" (investing all assets in a single trade) is a shortcut to bankruptcy. More important than the indicator itself is adhering to the principles of strict scaling in (split buying) and Stop-Loss.
Pine Script®指标
由BIGTAKER提供
8
VOLX+ VWAP Range BandsVOLX+ plots multiple VWAP-weighted high/low channels across different lookback periods to show how price behaves relative to short-term and long-term value zones. Instead of using a single VWAP line, this tool creates four rolling VWAP envelopes: Short-term range (fast reaction) Mid-term range Mid-mid range (transitional layer) Long-term range (macro context) Each band is computed as: VWAP-High = SMA(high × volume, length) ÷ SMA(volume, length) VWAP-Low = SMA(low × volume, length) ÷ SMA(volume, length) This produces dynamic price channels that account for both price and traded volume, offering a clearer sense of where the market is accepting or rejecting value. What It Shows Four VWAP-weighted high/low bands A short-term VWAP midline Price line Three SMAs for trend context Optional visibility switches for each VWAP band The filled regions between VWAP highs and lows create a layered “value map,” helping you interpret: Trend continuation (price hugging outer VWAP bands) Mean reversion (price returning toward inner bands) Volatility contraction/expansion Shifts in short-term vs long-term balance 🧠 How to Use Use the short-term band for day-trading context or detecting short-term excess. Use mid-term and mid-mid bands to confirm developing structure. Use the long-term VWAP band to understand broader value zones. Combine VWAP bands with SMAs and structure analysis for confluence. This indicator is intended for price interpretation and analytical support. ✔ Does Not Repaint The script uses rolling VWAP formulas and standard MAs; everything is stable and non-repainting.
Pine Script®指标
由pc75提供