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VWAP Cross Flow Engine [AGPro Series]VWAP Cross Flow Engine 🔹 OVERVIEW VWAP Cross Flow Engine is a precision scoring system for price-to-VWAP crossovers. Instead of treating every VWAP cross as a binary signal, this indicator measures the QUALITY of each crossover event in real time using a weighted composite score derived from momentum, volume expansion and optional sigma-band confluence. The engine is designed for intraday scalpers and swing traders who rely on VWAP as a dynamic equilibrium reference and need a structured way to separate high- conviction continuation crosses from low-quality noise flips. The script plots an anchored Volume-Weighted Average Price line with optional volume-weighted standard-deviation bands, detects every price/VWAP crossover event, scores each one on a 0–100 scale and visualizes the result through compact X markers, directional bar coloring, a retrospective quality dashboard and a dynamic bias zone anchored on the strongest crosses. 🔸 UNIQUE EDGE Most VWAP-based tools stop at plotting the line and marking raw crossovers. VWAP Cross Flow Engine adds a multi-factor quality layer on top of the crossover itself: • Every cross receives a composite score, not a pass/fail flag • Momentum sub-score derived from RSI distance from 50 at cross bar • Volume sub-score derived from current volume vs SMA baseline • Optional confluence bonus when cross occurs beyond 2-sigma envelope • Retrospective follow-through measurement in ATR units • Session-aware counters with automatic daily-vs-higher-timeframe label switching • ATR-based cooldown filter that prevents label overlap on any timeframe, not just bar-count cooldowns that fail on daily charts The combination of live scoring + retrospective success tracking in a single panel is the core differentiator. It allows the trader to both filter new crosses and study the historical reliability of VWAP cross behavior on any symbol and timeframe. 🔷 METHODOLOGY 1. VWAP CALCULATION Volume-weighted average of HLC3 (configurable) anchored to the Session, Week or Month boundary. Cumulative price*volume and cumulative volume series are reset at every anchor change. 2. SIGMA BANDS (optional) Volume-weighted variance computed as E − E ² where X is the source price weighted by volume. Square root produces the true volume-weighted standard deviation. 1σ and 2σ envelopes are drawn around the VWAP line. 3. CROSS DETECTION Standard ta.crossover / ta.crossunder between close and VWAP. 4. QUALITY SCORING • Momentum sub-score: |RSI(14) − 50|, scaled to 0–40 range • Volume sub-score: volume / SMA(20), capped at 3x, scaled 0–30 • Confluence bonus: +5 if prior bar touched the opposing 2σ band • Total live score (max 70 or 75) is rescaled to 0–100 5. COOLDOWN FILTER A new cross is only plotted if BOTH conditions are met: • At least N bars since the last plotted cross • At least K × ATR price distance from the last plotted cross 6. FOLLOW-THROUGH TRACKING Each cross is stored with its direction, price and ATR at the time of the event. After N bars, the displacement (in the cross direction) is measured. Success rate and average follow-through in ATR units are maintained inside a rolling lookback window. 7. QUALITY ZONE A rectangle zone (0.8 × ATR tall by default, 60 bars long) is drawn at every strong cross (score ≥ 70). The zone acts as a dynamic bias area anchored on high-conviction VWAP interactions. 🔶 SIGNALS & ALERTS The indicator fires five distinct alert conditions: 1. High-Quality VWAP Cross Up — bullish cross above the min quality threshold with cooldown satisfied. 2. High-Quality VWAP Cross Down — bearish cross above the min quality threshold with cooldown satisfied. 3. Strong VWAP Cross (≥70) — score 70 or higher; anchors a new quality zone. 4. Price Reached +2σ Band — price extended to the upper sigma band (optional, requires bands enabled). 5. Price Reached −2σ Band — price extended to the lower sigma band (optional, requires bands enabled). 🔹 KEY INPUTS VWAP Reference • Source — price series used for VWAP (default HLC3) • Anchor Type — Session / Week / Month • Show VWAP Line Sigma Bands • Show Sigma Bands (default OFF) • Inner Band Multiplier (default 1.0) • Outer Band Multiplier (default 2.0) Quality Engine • Momentum (RSI) Length • Volume Average Length • Follow-Through Bars • ATR Length • Min Quality To Plot (default 50) • Use Sigma Confluence Bonus • Cooldown — Minimum Bars (default 5) • Cooldown — Minimum ATR Distance (default 0.5) Visuals • Show Cross X Labels • Show Target Projection (default OFF) • Show Quality Zone • Quality Zone Height (ATR) / Length (Bars) • Color Bars By Cross Strength • Auto Label Size (upscale on 1D+) Panel • Show Dashboard Panel • Panel Position (6 positions) • Panel Theme (Dark / Light) • Panel Font Size • Success Rate Lookback Bars 🔸 HOW TO USE • INTRADAY SCALPING — use Session anchor on 5m–1h charts. Focus on crosses scoring 70 or higher. The quality zone becomes a short-term bias area: price holding above a bull zone mid-line tends to favor continuation, breaks back through the mid-line tend to indicate weakening conviction. • SWING BIAS — use Week or Month anchor on 4h and daily charts. Treat strong crosses as potential regime-shift events. Monitor the Success Rate metric to calibrate expectations for the current market and instrument. • MEAN-REVERSION — enable sigma bands and confluence bonus. Crosses that form after a 2σ stretch tend to score higher and mark statistically meaningful reversal attempts. • FILTER CALIBRATION — raise Min Quality To Plot to 60 or 70 for high-selectivity environments; lower to 40 for noisier instruments where you want earlier confirmation. The dashboard gives at-a-glance context: how many crosses have fired this session, how many were strong, what the historical win rate looks like in the current lookback window, the average ATR-normalized follow-through, and whether price is currently above or below VWAP. 🔷 LIMITATIONS & TRANSPARENCY • This is NOT a strategy and does not generate buy/sell orders. • Score is a quality filter, not a directional prediction. A high- score cross still carries market risk and can fail. • Follow-through statistics depend on lookback window size and timeframe; adjust Success Rate Lookback to match your trading horizon. • Sigma bands require a reliable volume feed. On low-liquidity instruments the bands may be noisy or meaningless. • Anchored VWAP resets at each new anchor (Session / Week / Month); early-in-anchor values use fewer samples and are less stable. • The indicator repaints only within the cross bar itself (like any crossover detector). Once a bar closes, the plotted cross and its score are fixed. 🔶 RISK DISCLOSURE This script is a technical analysis tool intended for educational and analytical purposes. It does not constitute financial advice, investment advice or a recommendation to buy or sell any asset. Trading financial markets involves substantial risk of loss. Past performance of any indicator is not indicative of future results. Users are fully responsible for their own trading decisions and should combine this tool with independent analysis and proper risk management.
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Session VWAP Reaction Engine [AGPro Series]Session VWAP Reaction Engine Session VWAP Reaction Engine builds the active intraday session VWAP as a reaction anchor and classifies confirmed price behaviour around it into three clear event types — Reclaim, Bounce, and Reject — each validated by a configurable confirmation window, a minimum prior-side bar filter, and an optional VWAP slope alignment filter. A volatility-scaled reaction corridor, compact reaction zones, a session box, and a minimal right-side bias panel turn raw session flow into a clean, publication-ready read on acceptance, rejection, and continuation. 🔷 OVERVIEW Most session VWAP tools simply plot the line. Session VWAP Reaction Engine goes further: it reads how price behaves around the line inside a selected session window (Asia, London, New York, or Custom) and labels that behaviour using three structural event classes: • Reclaim — a confirmed cross and acceptance on the new side of session VWAP, after price has spent a minimum number of bars on the opposite side. • Bounce — a test of the reaction corridor edge that closes back on the prevailing side, with body-range and slope alignment quality checks feeding a Strong / Clean / Weak strength read. • Reject — a wick into session VWAP that fails to accept on the other side, resolving as pressure against the crossing attempt. Each confirmed event paints a compact rectangular reaction zone, a single label near the zone, and updates a right-side bias panel so the current session's story is always readable at a glance. 🟦 WHAT MAKES IT DIFFERENT ▸ Event classification, not just a line. Reclaim, Bounce, and Reject are treated as distinct structural events — each with its own confirmation path and visual signature — instead of blending into a single "crossed VWAP" signal. ▸ Corridor-based reaction detection. Bounce and Reject use a volatility-scaled ATR corridor around session VWAP rather than a single-pixel touch, which matches how VWAP is typically tested in real intraday flow. ▸ Slope-aware trend filter. Optional VWAP slope alignment biases bounce events toward the prevailing session direction and filters out counter-flow reactions that tend to fail. ▸ Reaction Strength read. Bounces are classified Strong / Clean / Weak using body-to-range ratio, close location in range, and slope alignment — turning every bounce into a quality-graded event. ▸ Active-Only and Publish Focus visual modes. The chart stays clean by surfacing only the latest session and the latest confirmed reaction, with older structure fading or removed. Ideal for decision-making and presentation. 🟣 METHODOLOGY 1) Session anchor. The selected session (Asia / London / New York / Custom) resets a cumulative PV / V VWAP on every new session bar, giving a fresh reaction reference for that window. 2) Prior-side filter. Before any Reclaim or opposite-side reaction can qualify, price must have spent a minimum configurable number of bars on one side of session VWAP. This isolates structural interactions and rejects chop. 3) Reclaim confirmation. A raw cross must be followed by N consecutive confirmed closes on the new side (default 2) before the Reclaim is validated and painted. 4) Corridor reactions. A volatility-scaled corridor (ATR × user multiplier) around session VWAP defines where Bounce and Reject qualify. Bounces require a corridor-edge test plus a close back on the prevailing side with body confirmation; Rejects require a wick into session VWAP that closes on the originating side. 5) Bias and state synthesis. Live Bias (Bullish / Bearish Acceptance or Pressure, or Neutral Rotation) is derived from close position relative to VWAP and corridor. Reaction State reflects the latest confirmed event (Bullish Acceptance, Bearish Acceptance, Bounce Support, Bounce Resistance, Reject Pressure, Reject Lift). 6) Post-session context. After the session ends, the last session VWAP and corridor stay on the chart for a configurable number of bars so recent structure remains visible without polluting older history. 🟢 SIGNALS & ALERTS Eight alertcondition hooks are provided, all bar-close confirmable: • Bullish Session VWAP Reclaim Confirmed • Bearish Session VWAP Reclaim Confirmed • Bullish Session VWAP Bounce Confirmed • Bearish Session VWAP Bounce Confirmed • Bullish Session VWAP Reject Confirmed • Bearish Session VWAP Reject Confirmed • Reaction State Shifted Bullish • Reaction State Shifted Bearish A "Confirmed Alerts Only" toggle restricts firing to barstate.isconfirmed so alerts will not repaint before close. 🟡 KEY INPUTS Session Engine • Selected Session — Asia / London / New York / Custom • Custom Session — HHmm-HHmm format (used when Custom is selected) • Session Timezone — Exchange / UTC / London / New York / Singapore Reaction Engine • Reclaim Confirm Bars — number of confirmed closes required after a cross (default 2) • Minimum Prior Side Bars — whipsaw filter on the opposite side before qualifying (default 2) • Reaction Corridor Width (ATR) — half-width of the ATR corridor around VWAP (default 0.20) • Reaction Zone Length (Bars) — how far a confirmed zone extends right (default 14) • Use VWAP Slope Alignment — trend filter for bounce events (default on) • VWAP Slope Lookback — slope estimation window (default 3) • Post-Session Context Bars — how long last session structure stays visible (default 18) Visual Story • Active-Only Mode, Publish Focus Mode, Show Previous Reaction Ghost • Show Session Box, Show VWAP Reaction Corridor, Show Confirmed Reaction Zone • Show Reaction Label, Show Session VWAP, Show Right-Edge SVWAP Tag • Visible History Bars (default 700), Label Font Size (default Normal) Panel • Show Bias Panel (top-right), Panel Font Size (default Normal) Alerts • Confirmed Alerts Only (default on) 🟠 HOW TO USE 1) Apply to any intraday timeframe (1m–4h). Session VWAP requires intraday data to anchor the session reference. 2) Choose the session that best fits your market focus — New York for US equities and US-hours crypto, London for FX and European hours, Asia for Asian-session flow, or a Custom window. 3) Watch the corridor as the session develops. Bounce and Reject events inside the corridor describe how the session is defending or failing the VWAP reference. 4) Use Reclaim events as session-context shifts — combine with your own structure (HTF trend, S/R, order flow) rather than treating them as standalone entries. 5) Read the right-side Bias Panel for a compact summary: Session Status, Bias, Last Reaction, Reaction Strength, Signal Age, Reaction State, and Latest Line status. 6) For screenshots and presentation use, keep Publish Focus Mode and Active-Only Mode enabled — older sessions fade and only the latest structure remains dominant. 🟤 LIMITATIONS & TRANSPARENCY • Intraday-only. Session VWAP is meaningful only on intraday timeframes; on daily and higher, the indicator will remain idle. • Session VWAP resets at the start of each selected session. Reactions are evaluated within that window only. • Confirmed events use bar-close logic. Intra-bar touches of the corridor are not counted as events until the bar closes. • Volume-dependent. Session VWAP uses symbol volume. On symbols without meaningful volume, VWAP accuracy will be limited. • The Reaction Corridor is a volatility-scaled visual and detection band, not a support/resistance guarantee. ⚠️ RISK DISCLOSURE This indicator is an analytical and visualisation tool. It is not a trading strategy, does not generate buy/sell recommendations, does not predict future price direction, and does not guarantee any specific outcome. All signals, zones, and panel readings describe past and current price behaviour around session VWAP, not forecasts. Markets carry risk of loss. Always use independent risk management, position sizing, and your own trading plan. Past behaviour of any signal does not imply future performance.
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Price Void Atlas [AGPro Series]Price Void Atlas 🗺️ OVERVIEW Price Void Atlas maps the chart's low-interaction price corridors — zones where price travelled fast and spent very little time — and tracks how price behaves when it returns. Unlike volume-based profiles that highlight crowded price levels, this indicator surfaces the opposite: the empty highways of the chart. Every corridor carries a live state (Fresh, Entered, Passed, Rejected) so you can read return behavior at a glance. 🧭 UNIQUE EDGE Most volume profile and imbalance tools show where price concentrated. Price Void Atlas inverts the question: where did price refuse to concentrate? The detection engine is purely time-weighted and ATR-normalized, so it works identically on instruments without reliable volume data (forex, many altcoins, CFDs). The state machine adds a second layer — it does not just detect voids, it follows their return stories. This combination (time-based emptiness detection + entry-side-aware state tracking) is the core differentiator. 🔬 METHODOLOGY The Scan Length window is sliced into 40 horizontal price bands. For each historical bar in the window, every band it intersects receives an ATR-normalized time weight. Bands that accumulate weight below a sensitivity-driven percentile threshold are flagged as empty. Contiguous empty bands form a corridor. Height is capped at 50% of total range to keep corridors structurally meaningful. Candidates are scored on a 65/35 weighted blend of emptiness intensity and ATR-normalized height, then the top N survivors are kept. Optional vertical proximity merging (0.3×ATR) consolidates nearby corridors into larger atlas-feel zones. The state machine then observes price behavior per corridor: - Fresh → never touched since birth - Entered → price crossed inside; entry side is locked (top or bottom) - Passed → close crossed beyond the far boundary (clean traversal) - Rejected → close reversed beyond entry side by 35% of corridor depth 🔔 SIGNALS & ALERTS Three independent alert channels: - Void Entered — price re-enters an active corridor - Void Passed — price closes through the far boundary - Void Rejected — price reverses past its entry side Each alert fires once per bar on confirmed close. Corridors are drawn as persistent ATR-aware rectangles with state-colored borders and labels. A dominant corridor (highest rank score) gets a thicker border as a visual hierarchy cue. 🎛️ KEY INPUTS Core Engine - Scan Length (100–1000): window of bars analyzed - Sensitivity (Strict / Balanced / Loose): emptiness threshold - Max Voids (1–6): hard cap on simultaneous corridors - Hide Resolved Voids: removes Passed/Rejected for a clean view - Merge Vertically Close Voids: atlas consolidation Visual - Panel Location (5 positions), Panel Theme (Dark / Light) - Panel Font Size, Label Font Size (tiny → large, default normal) - Show Entry Side Hint (↑ / ↓ arrows on Entered labels) Alerts - Individual toggles for Entered / Passed / Rejected 🎯 HOW TO USE 1. Apply on a chart with enough history (200+ bars recommended for 300 Scan Length) 2. Fresh amber zones are untouched voids — potential re-interaction targets 3. When price approaches a Fresh zone, the corridor turns indigo (Entered) 4. Observe whether the interaction resolves as a traversal (Passed, teal) or a turn-away (Rejected, pink) 5. Use corridor boundaries as structural reference points alongside your own system 6. The dominant corridor (thickest border) represents the cleanest void by rank score 7. Works across all timeframes; adaptive rebuild cadence keeps performance consistent ⚠️ LIMITATIONS & TRANSPARENCY - This is an analysis aid, not a trading strategy. It does not generate buy or sell signals. - Corridor detection requires at least Scan Length bars of history; newly loaded charts render progressively as history accumulates. - The time-weighted emptiness metric depends on ATR stability; very low-volatility environments may produce fewer meaningful voids. - State transitions are evaluated on confirmed bar closes to prevent intrabar repainting. - Corridors persist across bars but are rebuilt on an adaptive cadence (5–25 bars depending on timeframe) for CPU efficiency. - All visuals are computed from the visible historical data on the current chart; extending the lookback will refresh the atlas. 🛡️ RISK DISCLOSURE This indicator is provided for educational and analytical purposes only. It does not predict future price movement, does not generate trade recommendations, and does not constitute financial advice. Trading involves substantial risk of loss. Past corridor interactions do not guarantee future behavior. Always conduct your own research and risk management.
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Fixed Range Control Box [AGPro Series]Fixed Range Control Box 🔹 Overview Fixed Range Control Box isolates a single high-conviction price range on your chart and classifies who is in control inside it. The tool draws one clean hero box around the most recent structural range, places a volume-weighted Control Line inside it, and tracks state transitions in real time: Inside, Upper, Lower, or Failed. When price structurally breaks the box, the range freezes, locking the reference so you can study the aftermath without visual drift. Four range-definition modes are available — Pivot, Lookback, Compression, and Manual-Date — so the tool adapts to discretionary range traders, systematic rotation traders, and anyone who wants a fixed reference zone for backtesting or journaling. 🔸 Unique Edge Most range tools on TradingView draw many boxes and leave the user to guess which one matters. Fixed Range Control Box is built around a different philosophy: one range, one story, one decision. The hero box is the visual focus; historical ranges fade into the background; the Control Line tells you which side of the range is winning the statistical argument. Three design choices separate this from standard range-box scripts: - Volume-weighted Control Line. Rather than dropping a midpoint line, the Control Line is computed from the volume-weighted typical price across the life of the range, with an edge-fallback to midpoint if the line drifts too close to either boundary. This produces a structurally meaningful reference instead of a geometric one. - Retrospective fill on range rebuild. When a new range is committed, the script walks back through the range window and retroactively computes touch count, hold quality, and the Control Line. You see a fully-formed box with accurate statistics the moment it appears, not an empty box that slowly populates. - Freeze-on-failure. When price closes beyond the range and the state transitions to Failed, the box locks at the break bar. No more drifting endpoints on broken structures — the reference stays where the story ended. 🔷 Methodology The script cycles through four stages on every bar: 1. Range detection. Depending on the selected mode, the script looks for a qualifying range: confirmed swing pivots (Pivot), rolling highest/lowest (Lookback), short-ATR over long-ATR compression (Compression), or a user-defined date window (Manual). Gating rules — minimum lifespan, minimum width percentage, and a failed-state cooldown — prevent rapid re-triggers on noisy conditions. 2. Commit and retrospective fill. Once a range qualifies, the script snapshots the old range into history, installs the new one, and walks back through the window to compute the Control Line, touch count, and hold quality in a single pass. No warm-up period. 3. State machine. Each confirmed bar feeds the state machine. Strict logic requires bar closes on one side of the Control Line for the configured number of bars before switching to Upper or Lower; a close beyond either range boundary transitions to Failed. 4. Rendering. On the last bar, the hero box, Control Line, origin marker, and state badge are rebuilt from scratch. Historical ranges persist as muted boxes up to a configurable cap. 🔶 Signals & Alerts Three alert conditions cover the full range lifecycle: - New Control Box. Fires once per bar close when a new range is committed. - Line Reclaimed (Bull or Bear). Fires when state transitions into Upper or Lower control, confirming directional bias inside the range. - Control Failed. Fires once when price closes beyond the range and the box is frozen. All alerts use alert() calls with once-per-bar-close frequency. 🔹 Key Inputs - Range Mode — Auto-Pivot, Auto-Lookback, Auto-Compression, or Manual-Date. - Pivot Length / Lookback Bars / Compression Window — window controls for each detection mode. - Min Range Lifespan / Min Range Width % — structural filters to suppress micro-ranges. - Failed Cooldown — bars to wait after a broken range before searching for a new one. - Strict Control Logic + Reclaim Confirmation — governs how the Control Line state machine transitions. - Visual controls — fade old boxes, max boxes kept, show state badge, show range origin, future projection bars, panel and label font sizes. 🔸 How to Use 1. Start on your primary timeframe and select the Range Mode that matches your style: Pivot for discretionary swing structures, Lookback for mechanical windows, Compression for auto-locking onto consolidations, Manual-Date for backtesting a specific episode. 2. Tune Min Range Width % and Min Range Lifespan so only structurally meaningful ranges appear. 3. Read the panel top-down: Mode confirms what you are tracking, Control tells you which side of the Control Line is winning, Range Age and Touches describe maturity and confluence, Hold Quality summarizes how cleanly price has respected the range, and State shows the live classification. 4. Use alerts to monitor the range lifecycle without staring at the chart. 🔻 Limitations & Transparency - This is an analytical tool, not a strategy. It does not generate buy or sell recommendations and does not compute entries, stops, or targets. - Past range behavior does not forecast future range behavior. Structural breaks can occur at any time. - In very thin or illiquid markets, the volume-weighted Control Line can drift toward a boundary; the edge-fallback defaults to midpoint to protect against degenerate cases. - Auto-Compression mode requires sufficient ATR history; expect a warm-up period on very recent symbols. - The script is overlay-only and does not access other timeframes. 🔶 Risk Disclosure Nothing in this script constitutes financial advice. Trading involves substantial risk of loss and is not suitable for every investor. Always do your own research and manage risk appropriately.
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Value Shift Ladder [AGPro Series]Value Shift Ladder 🔹 Overview Value Shift Ladder is a market-structure mapping tool that extracts the most volume-accepted price shelves from a rolling lookback window and arranges them, in creation order, as the rungs of a ladder. Each rung is a volume-weighted zone where the market has recently spent the most time and traded the most contracts. The script then tracks how price interacts with every rung through a full Held → Broken → Reclaimed lifecycle and summarizes the entire chain into one readable ladder state: Rising, Falling, Mixed, Broken, Reclaiming, Building, or Neutral. The goal is not to predict direction and not to produce buy or sell signals. The goal is to give the chart reader a continuously updated answer to one question: where is the market's current fair-value region, how is that region moving over time, and which prior value shelves are still relevant versus which have been abandoned. This makes the tool useful as a structural reference for volume-profile readers, auction-theory traders, and anyone who builds a bias from accepted-value migration rather than from trend lines or moving averages. 🔸 Unique Edge Most volume-based tools either draw a single static profile snapshot, or plot every candidate level and leave the reader to filter. Value Shift Ladder does three things differently: Multi-shelf chronological ladder. Instead of producing one value band, the script maintains a ranked set of up to eight volume-accepted shelves and arranges them in the order they were first registered. This preserves the migration history of accepted value instead of collapsing it into one average. Proximity-gated visualization. Only shelves within a configurable ATR distance from current price are drawn on the chart, counted in the panel, and fed into the ladder direction state. Distant historical shelves exist in memory but do not clutter the chart or bias the readout — the ladder always reflects the value structure that is actually relevant to the current bar. Adaptive, confidence-aware breaks. A shelf is not broken on a single close outside its band. Young shelves are strongly protected (3.0 × ATR), maturing shelves require a medium distance (1.5 × ATR), and fully-aged shelves use the user-defined break distance. Shelves that have been re-confirmed multiple times gain a 2× confidence multiplier on top of that, preventing established value regions from being lost to a single volatility spike. 🔸 Methodology 1) Volume Profile Construction The script divides the rolling lookback window into equal price bins and distributes each bar's volume across every bin it touches, proportional to range coverage. Zero-range bars are assigned to their single bin. This produces a volume-weighted histogram of the lookback period. 2) Shelf Extraction The top-K bins by volume are selected iteratively. After each pick, the chosen bin and its ATR-neighborhood are zeroed out before the next pick, enforcing a minimum separation between shelves and preventing a single high-volume cluster from dominating every rung. Each surviving bin becomes a shelf, anchored at its bin-center price. 3) Shelf Merging and Confidence On every refresh, newly extracted shelves are checked against existing ones. If a new shelf falls within the ATR separation of an existing non-broken shelf, the existing shelf's volume is refreshed and its confidence score is incremented. Otherwise a new shelf is registered. Confidence is capped at ten and used downstream to scale break tolerance. 4) Lifecycle State Machine Each shelf carries one of three states — Held, Broken, or Reclaimed. Held flips to Broken when price closes beyond an adaptive break distance for three recent bars. Broken flips to Reclaimed when price dwells back inside the band for a user-defined number of bars. Reclaimed auto-promotes to Held once the shelf has stabilized past a short age threshold. 5) Ladder Direction Proximity-filtered active shelves are sorted by creation order. The last one, two, or three rungs are compared to produce a single state: Rising if the sequence is monotonically higher, Falling if lower, Mixed if non-monotonic, plus transient overrides for Broken, Reclaiming, Building, or Neutral conditions. 6) Pruning Stale broken shelves expire after a timeframe-aware window. A hard cap of ten active shelves is enforced, with broken shelves removed first when the cap is hit. 🔹 Signals and Alerts The script provides four deterministic state-change alerts, all tied to closed-bar transitions: — New Ladder Step Formed: fires when a new volume-accepted shelf is first registered. — Ladder Step Held: fires when an existing shelf is re-confirmed by the rolling profile. — Ladder Step Broken: fires when a held shelf transitions to broken. — Ladder Step Reclaimed: fires when a broken shelf transitions back to reclaimed. These alerts describe structural state changes inside the indicator logic. They are not trade signals and do not imply expected profitability, win rate, or directional certainty. 🔸 Key Inputs — Profile Mode (Auto / Manual): Auto derives lookback and refresh from the chart timeframe. Manual exposes both for full control. — Manual Lookback (bars): Size of the rolling window used to build the profile. — Manual Refresh Interval (bars): How often the profile is rebuilt. — Profile Resolution (bins): Number of price bins the range is divided into. — Target Shelf Count: Maximum number of shelves kept active. — Min Volume Ratio: Minimum fraction of the top-bin volume a bin must hold to qualify as a shelf. — Min Shelf Separation (ATR): Minimum ATR distance between two shelves. — Break Distance (ATR): Fully-aged break tolerance. — Reclaim Dwell Bars: Bars needed inside the band to flip Broken to Reclaimed. — Max Visible Distance (ATR): Proximity gate for drawing and counting shelves. — Display options: panel position, panel font size, on-chart label size, alerts toggle. 🔹 How to Use Value Shift Ladder is designed as a structural reference rather than a signal engine. Typical reading workflows include: — Bias framing. Read the Ladder state first. Rising or Falling indicates a one-sided migration of accepted value; Mixed indicates balance; Broken or Reclaiming highlights an active transition. — Dominant reference. The Dominant row in the panel highlights the nearest held or reclaimed shelf within two ATR of price. Use it as the closest structural reference for scenario planning, not as an execution level. — Proximity discipline. Because shelves more than the configured ATR distance away are not drawn, the ladder always reflects value structure that is currently relevant. When no shelves are visible, the market is between value regions — a context in which mean-reversion assumptions weaken. — Confluence. The tool is designed to be combined with independent confirmation such as session structure, higher-timeframe bias, or volume analysis. It is not meant to stand alone as a decision source. 🔸 Limitations and Transparency — Volume profile quality depends on the instrument's volume reporting. On symbols with unreliable or synthetic volume, shelf placement may drift. — The profile is recomputed on the close of refresh bars. Intrabar readings on the current bar can change until the bar closes; state transitions evaluate the last three bars for breaks and the reclaim-dwell window for reclaims, so fresh transitions can flip until those bars close. — On extremely illiquid sessions or instruments with frequent volatility spikes, the adaptive-break logic can delay transitions by design. This is a tradeoff in favor of stability. — Past structural behavior at a shelf does not guarantee future behavior. The tool does not forecast direction and is not a trading strategy. 🔹 Risk Disclosure This script is a structural visualization tool provided for educational and analytical purposes. It is not financial advice, not a trading strategy, and not a signal service. All trading involves risk of loss. Past market behavior is not indicative of future results. Users are fully responsible for their own trading decisions and for independently verifying the tool's behavior on their chosen instruments and timeframes before relying on it for any purpose.
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Multi-Anchor VWAP Grid [AGPro Series]Multi-Anchor VWAP Grid 🔹 Overview Multi-Anchor VWAP Grid is a volume-weighted analysis tool that plots five independently anchored VWAP lines on the same chart — anchored from swing high, swing low, higher-timeframe pivot, all-time high, and session open. Each anchored VWAP includes optional ±1σ and ±2σ standard deviation bands, forming a dynamic grid of volume-weighted support and resistance levels. When three or more VWAPs converge within a tight ATR-based band, the indicator draws a rectangular confluence zone highlighting the area as a higher-probability price reaction region. The script is fully automatic. All five anchors are detected by internal engines (pivot detection, session detection, timeframe change detection, all-time-high tracker) and require no manual date picking or retroactive anchor placement. Install the indicator, select which anchors you want active, and the grid builds itself. 🔹 What It Does Differently Most anchored VWAP tools plot one anchor at a time and require the user to manually place the anchor each time a new swing or event is identified. This script plots five anchors simultaneously and lets them compete for relevance. When multiple independent anchors agree on a price level, that agreement itself becomes the signal — visualized as a confluence zone. A single VWAP is one data point. Five VWAPs intersecting within 0.5 ATR of each other is a structural event. The confluence detection engine tests each active VWAP as a reference point, counts how many others fall within the user-defined ATR tolerance, and picks the densest cluster on each bar. A minimum VWAP count threshold (default 3) prevents noise, and a lifecycle manager extends, adaptively resizes, and expires zones based on bar age and midpoint drift. 🔹 Methodology **Anchor engines** Swing High and Swing Low VWAPs reset on each confirmed pivot using the standard ta.pivothigh / ta.pivotlow detector with a configurable lookback length. HTF Pivot VWAP resets at the start of each selected higher-timeframe period (daily, weekly, or monthly) using timeframe.change. ATH VWAP resets whenever a new all-time high is printed on the visible chart. Session Open VWAP resets at the first bar of each trading session defined by the session window input. **VWAP calculation** Each anchor maintains three running accumulators since its last reset: sum of (price × volume), sum of volume, and sum of (price² × volume). VWAP is computed as the first divided by the second. Standard deviation is derived from the variance identity: sqrt(E − E ²), where E and E are computed from the running accumulators. Bands are plotted at configurable multipliers of this running standard deviation. **Confluence engine** On each bar, the script evaluates every active VWAP as a potential cluster center. For each candidate center, it counts how many other active VWAPs fall within ATR × tolerance distance. The cluster with the highest count wins. If the winning count meets or exceeds the minimum threshold, the bar is marked as confluence-active. **Zone lifecycle** When confluence becomes active, a new rectangular zone is created spanning the min/max of the clustered VWAPs. As long as confluence remains active and the cluster midpoint drifts less than 0.5 ATR from its original midpoint, the zone extends to the current bar and adaptively resizes with rate-limited expansion (maximum 1 ATR growth per bar per direction, preventing erratic stretching). If the midpoint drifts more than 0.5 ATR, a new zone is created. A 5-bar debounce prevents micro-breaks in confluence from prematurely closing active zones. Zones auto-expire after a configurable age limit (default 120 bars). 🔹 Signals and Panel Readouts The information panel in the top-right corner (position and theme configurable) displays: - **Price Bias** — count of VWAPs price is currently above vs below, with an overall BULL / BEAR / MIXED classification - **Confluence** — current status (active with cluster count, or none) and the minimum-count threshold in use - **Closest VWAP** — which of the five VWAPs is currently closest to price, and the distance in ATR units - **Active VWAPs** — each enabled VWAP's current value and percent distance from close Two alert conditions are built in: new confluence zone detection, and price crossing any active VWAP line. 🔹 Key Inputs **Anchor Points group** — toggle each of the five VWAPs on or off, set swing pivot lookback length, choose HTF timeframe (D/W/M), define the session window for intraday anchoring. **Deviation Bands group** — toggle bands on or off, configure band 1 and band 2 multipliers, enable or disable gradient fills between VWAP and the first band. **Confluence Zones group** — toggle zones on or off, set minimum VWAPs required for a confluence (2 to 5), adjust the ATR-based tolerance, define maximum zone age in bars. **Panel group** — toggle panel, choose location (six positions), select Dark or Light theme, set font size (Small / Normal / Large). **Labels group** — toggle the compact end-of-line labels that identify each VWAP at the right edge of the chart. 🔹 How to Use This indicator is designed as a context layer, not a standalone entry signal. Suggested workflow: **1. Identify structural bias.** Check the Price Bias row in the panel. If 4 or 5 VWAPs sit below price (BULL), the market is trading above its most relevant volume-weighted averages across multiple timeframes and event contexts. The opposite applies for BEAR. **2. Watch for confluence formation.** When the panel shows Confluence ACTIVE with 3 or more VWAPs clustered, a meaningful volume-weighted support or resistance area is forming. These zones often precede reaction or reversal behavior. **3. Use bands for context.** When price trades near the ±1σ band of a single VWAP, reversion back toward that VWAP is statistically more likely. ±2σ extensions indicate volatility outliers. **4. Cross-reference with your own tools.** This script is most useful combined with price action, volume profile, or a trend filter of your choice. It does not generate entries or exits on its own. 🔹 Tips - On crypto 24h markets, set Session Window to 0000-2359 for a full-day session VWAP. - Higher Swing Pivot Length values (30–50) filter noise on higher timeframes; lower values (10–15) are better for intraday. - If the chart feels visually crowded, disable the ±2σ bands or reduce the number of active anchors. All five are rarely needed simultaneously. - For the strongest confluence signals, increase Min VWAPs for Confluence to 4 — rarer but higher conviction. 🔹 Limitations and Transparency - The script uses standard Pine Script pivot detection for swing anchors. Pivots are confirmed only after the pivot length has passed, which means swing VWAP anchors are placed retrospectively by that many bars. This is an inherent limitation of all pivot-based tools, not a bug. - ATH tracking is limited to the visible chart range. On timeframes or symbols where the chart does not load full history, the "ATH" anchor represents the highest point within loaded data, not the true all-time high. - Standard deviation bands assume price dispersion around each VWAP is approximately normal over the anchored period. In strongly trending markets, this assumption weakens and bands may widen significantly. - Confluence zones are descriptive, not predictive. They mark areas where multiple volume-weighted averages happen to agree. They do not guarantee price reaction, only indicate where reaction is more plausible than average. - Session Window input must match the instrument's trading hours to produce a meaningful intraday VWAP. Incorrect session definitions will produce misleading anchor points. 🔹 Risk Disclosure This indicator is provided for educational and analytical purposes only. It is not financial advice, investment advice, or a recommendation to buy, sell, or hold any asset. All trading involves substantial risk of loss. Past chart behavior and historical VWAP reactions do not guarantee future results. Users are solely responsible for their own trading decisions and risk management. Always combine indicator output with independent analysis and appropriate position sizing. The author accepts no responsibility for any financial outcome resulting from the use of this script.
Pine Script® göstergesi
AGProLabs tarafından
AG Pro Anchored VWAP Event Map [AGPro Series]AG Pro Anchored VWAP Event Map Overview / What it does AG Pro Anchored VWAP Event Map is an overlay built to organize price action around Anchored VWAP after a meaningful starting point has been defined. Instead of treating VWAP as a single static reference, this script focuses on the relationship between price and a chosen anchor, then maps how the market behaves after that anchor is established. The goal is not to forecast price, but to make post-anchor structure easier to read in a consistent visual framework. The script supports three anchor paths: Open, Swing, and Event. Open mode can reset the anchor from a daily, weekly, or monthly opening context. Swing mode rebuilds the anchor from a confirmed pivot high or pivot low. Event mode is designed for expansion-type situations and can anchor from a range expansion, a volume spike, or a breakout impulse. This creates a flexible workflow for traders who want to study how price responds to AVWAP under different structural conditions without switching tools. Once the anchor is set, the script plots the Anchored VWAP, builds a distance band around it, tracks reclaim and reject behavior, and summarizes the current post-anchor bias in a compact panel. The result is a clean event map that can be used to study acceptance, rejection, recovery, or continuation around an anchored reference level. It is meant to simplify interpretation, not replace market context. A key design goal of this script is clarity. The visual package is intentionally structured so the anchor, AVWAP path, distance zone, signal labels, and bias panel can be read together without turning the chart into a dense signal board. In practice, that means the indicator is most useful when it is treated as a contextual decision-support tool rather than a standalone trigger engine. Unique Edge The main distinction of this script is that it is not built as a generic VWAP overlay. Its emphasis is on post-anchor behavior. That means the visual logic starts from the selected anchor event and then evaluates how price interacts with the anchored VWAP afterward. In other words, the anchor is not only a starting point for the line itself; it is the center of the script's interpretation model. Another differentiator is the combination of multiple anchor sources within one workflow. Traders can use opening-session logic, confirmed swing logic, or event-driven logic depending on the type of market behavior they are studying. This makes the indicator suitable for different styles of chart review while keeping the interface straightforward. The distance band adds a second layer of structure. Rather than reading only the AVWAP line, users can also see whether price is operating close to the reference, stretched around it, or reacting from the upper or lower band zone. This helps frame whether a move appears to be re-accepting the anchored average, rejecting away from it, or trading in a more extended state. The script also tries to keep the signal layer readable through selective label logic. Reclaim and reject markers are not intended to flood the chart. They are there to mark notable interactions with the anchored framework, while the panel provides a compact summary of the active anchor, current bias, distance, and latest signal state. Methodology The script begins by defining an anchor source. In Open mode, the anchor can be tied to a daily, weekly, or monthly opening transition. In Swing mode, the script waits for a confirmed pivot high or pivot low based on the selected swing length. In Event mode, the anchor is created only when a qualifying market event appears according to the selected event model. For event-based anchoring, the script can use one of three internal conditions. Range Expansion looks for directional range behavior relative to ATR and recent structure. Volume Spike looks for directional participation with higher-than-average volume and a meaningful candle body fraction. Breakout Impulse looks for directional movement through recent extremes with supportive range and volume characteristics. These are practical anchor candidates for traders who want the AVWAP to begin from a meaningful change in behavior rather than from a calendar reset. After the anchor is created, the script calculates Anchored VWAP using cumulative price-volume data relative to that anchor point. From there, it builds a distance band around the AVWAP. The band can be defined by ATR or percentage mode, depending on whether the user prefers a volatility-based or proportional framework. Post-anchor bias is then derived from a simple internal score. The script evaluates whether price is above or below AVWAP, whether the AVWAP slope is improving or weakening, and whether price is trading beyond the distance band. This produces a practical Bullish, Bearish, or Neutral state. The intention is not to compress market structure into a perfect score, but to provide a compact directional read that can be used alongside the chart. Reclaim and reject logic is based on how price interacts with the AVWAP and the surrounding band after the anchor is active. A reclaim highlights price moving back through the anchored reference with confirmation, while a reject highlights failure or pushback behavior around the band area. These events are intended as structural observations rather than guaranteed trade setups. Signals & Alerts The script includes reclaim and reject signal logic for both directions. These labels are designed to call attention to notable interactions with the anchored framework after the selected anchor becomes active. In practical use, reclaim behavior can be interpreted as a sign that price is attempting to re-establish acceptance relative to AVWAP, while reject behavior can suggest rejection away from the mapped zone. Because market structure can become noisy, the script also includes signal spacing and density controls to reduce repetitive label clutter. This is especially relevant when anchored conditions remain active for long periods and price repeatedly tests the same area. The goal is to preserve readability while still marking relevant interactions. Alert conditions are included for bullish reclaim, bearish reclaim, bullish reject, bearish reject, and a broader any-signal state. These alerts are deterministic within the script's ruleset, but they should still be used as workflow tools rather than interpreted as self-sufficient trading instructions. Key Inputs Anchor Source: Choose whether the indicator should anchor from Open, Swing, or Event logic. Open Anchor Type: In Open mode, select daily, weekly, or monthly opening context. Swing Length: Controls how confirmed pivot highs and lows are detected in Swing mode. Event Type: In Event mode, choose between Range Expansion, Volume Spike, or Breakout Impulse as the anchor trigger model. Event Lookback / Multipliers / Cooldown: These inputs control how strict the event selection becomes and how frequently new event anchors can appear. Band Mode: Switch between ATR-based and percentage-based distance bands. ATR Band Multiplier / Percent Band: Define the width of the distance zone around Anchored VWAP. Signal Density: Helps regulate how aggressively reclaim and reject labels are displayed. Panel and Label Size: Allows the visual layout to remain readable across different chart styles and screen sizes. Show Anchor Label / Show Anchor Level / Show Bias Ribbon: These toggles control the visibility of anchor-focused visual elements and optional bias coloring. Limitations & Transparency This script is an interpretation aid. It does not identify the single correct anchor for all market environments. Different anchor choices can lead to different AVWAP paths, different reclaim or reject readings, and different conclusions. That is normal, and it is one of the reasons the script provides multiple anchor modes. Event-based anchors depend on internal threshold logic such as ATR expansion, volume conditions, and breakout behavior. On some symbols or timeframes, those filters may trigger more frequently or less frequently than expected. Users may need to adjust event sensitivity and band settings to fit the market they are analyzing. Reclaim and reject states are rule-based. They are not a guarantee of continuation, reversal, or follow-through. In sideways conditions, repeated AVWAP interactions can occur without producing a sustained directional move. The script can help organize those interactions visually, but it cannot remove market uncertainty. The post-anchor bias is intentionally simplified. It is designed for readability, not for complete market classification. It should be read together with broader price structure, higher-timeframe context, liquidity conditions, and user-defined execution rules. Risk Disclosure This indicator is for chart analysis and workflow support. It does not provide financial advice, investment advice, or guaranteed outcomes. Markets involve risk, and any trading or investing decision remains the sole responsibility of the user. No indicator can remove uncertainty from live markets. Anchored VWAP, reclaim behavior, reject behavior, and bias states are analytical references only. They should be validated with independent judgment, risk management, and broader market context before being used in any decision-making process. Use this script as a structured visualization tool, not as a promise of performance or a substitute for disciplined trade planning.
Pine Script® göstergesi
AGProLabs tarafından
4
AG Pro VWMA Dislocation Map [AGPro Series]AG Pro VWMA Dislocation Map OVERVIEW AG Pro VWMA Dislocation Map is a state-based charting tool designed to measure how far price is trading from its volume-weighted mean, how persistent that displacement has become, and whether the move is still expanding or beginning to normalize. This script is built around a simple but often underexplored idea: distance from a moving average is not equally meaningful in all situations. A small deviation can matter when it is persistent and building under directional participation, while a larger deviation can become less informative when the move is already mature and beginning to contract. Instead of treating every separation from the mean as identical, this script organizes that behavior into a structured framework. The result is a visual map centered on VWMA behavior rather than a classic crossover model. The goal is not to guess tops or bottoms, and it is not to replace broader market structure analysis. The goal is to help the user read displacement quality, persistence, and normalization pressure around a volume-weighted equilibrium reference. This makes the script useful in two very different but related contexts. In intraday use, it can help identify when a move is still building away from the mean versus when extension may already be mature. In swing use, it can help frame whether price is holding a healthy distance from its weighted mean or rotating back toward equilibrium. WHAT MAKES IT DIFFERENT This script is not presented as “another moving average” and it is not intended to function as a simple VWMA trend filter. Its design focus is the behavior around VWMA, not the line by itself. The main distinction is the state model. Instead of reducing the chart to a binary above/below interpretation, the script tracks whether displacement is mild, active, persistent, extended, overextended, re-approaching, or rebalanced. That adds context to moves that may otherwise look similar at first glance but are materially different in maturity and behavior. A second distinction is normalization. Raw distance in price units can be misleading across different symbols, different volatility conditions, and different phases of the same market. For that reason, the script evaluates displacement relative to a normalization unit rather than using absolute price distance alone. This is intended to make the map more comparable and more structurally meaningful. A third distinction is presentation. The indicator is designed as a chart-reading framework, with a central weighted-mean structure, layered displacement bands, background state context, a last-bar state label, and a compact information panel. The output is meant to be descriptive and contextual rather than promotional or predictive. METHODOLOGY The script begins with a VWMA reference built from user-defined length and source settings. Around that reference, it measures normalized price displacement. The normalization can be based on ATR, standard deviation, or a hybrid approach, depending on the selected mode. From there, the script derives several internal components: 1. Distance This reflects how far price is trading from the VWMA after normalization. The purpose is to measure relative displacement rather than raw tick or point difference. 2. Persistence This tracks how long the current directional displacement has remained active. A move that has stayed consistently above or below the weighted mean for multiple bars may carry a different interpretation than a one-bar separation. 3. Expansion This evaluates whether the displacement is still building. Rising displacement can indicate that price is not merely away from the mean, but continuing to separate from it. 4. Normalization This evaluates whether the displacement is beginning to contract toward the mean. It does not forecast reversal by itself. It is intended to show whether the existing separation is losing expansion pressure and moving into a more balanced phase. 5. Regime The script also classifies contextual slope behavior into a simplified regime reading. This is not meant to be a full market regime engine. It is a compact contextual aid for distinguishing broader trend-like conditions from quieter or more balanced environments. These components feed the state engine and the panel metrics. The result is not a claim of certainty, but a structured way to read where price is operating relative to a volume-weighted center. STATE MODEL The indicator organizes behavior into discrete chart states. These states are designed for interpretation, not for deterministic outcome prediction. Balanced Price is trading close to the VWMA and displacement is limited. Early Dislocation Price is beginning to separate from the weighted mean, but the move is still in an early stage. Persistent Dislocation Distance is no longer only emerging; it has remained active for a more sustained period. Extended The move has reached a stronger separation from the mean and may require more caution in interpretation. Overextended Displacement is extreme relative to the current normalization model. This does not mean price must reverse immediately. It indicates an elevated extension condition. Re-approaching Distance is beginning to contract and the move may be rotating back toward VWMA equilibrium. Rebalanced Price has moved back toward the mean after a prior displacement phase. The practical value of this model is that it helps separate fresh movement from mature movement. Two charts can both be above VWMA, but one may be in an early building phase while another may already be extended and normalizing. HOW TO READ THE PANEL The information panel is designed to provide a quick summary of the current state without overwhelming the chart. Score A composite reading of displacement behavior. This is a contextual score, not a performance metric and not a probability estimate. Bias A directional summary based on price relative to VWMA. Regime A simplified context tag derived from the weighted-mean behavior. Distance The current normalized displacement from VWMA. Persistence The number of bars associated with the current directional displacement run. Normalization A compact measure of contraction pressure toward the weighted mean. Footer interpretation A short descriptive line showing the current qualitative state context and whether displacement is expanding or contracting. The panel is intended to summarize current conditions, not to replace full chart reading. VISUAL STRUCTURE The chart output is designed to be read in layers. The central weighted-mean structure provides the equilibrium reference. The inner visual structure highlights the core region around VWMA. The displacement bands expand outward to show increasingly stretched conditions relative to the normalization thresholds. The background tint provides a broad state cue so users can quickly identify periods of balance, active displacement, or higher extension. The last-bar state label is included to make the current state readable at a glance without scanning the full panel. This layered design is intentional. It allows the script to remain visually expressive while still communicating a hierarchy: center, displacement, extension, and normalization. HOW THIS TOOL MAY BE USED Some users may apply the script as a continuation context tool. In that workflow, the focus is less on exact entries and more on whether a move is still developing in a healthy way away from the weighted mean. Some users may apply it as an extension-awareness tool. In that workflow, the purpose is to identify when a move may already be mature and when aggressive continuation assumptions deserve more caution. Others may use it as a mean-normalization context tool. In that workflow, the interest is not whether price is simply above or below VWMA, but whether the separation is holding, expanding, or rotating back toward equilibrium. Because of this flexibility, the script is not restricted to one market style. It can be used as an analytical overlay in trending markets, in rotational conditions, or as part of a broader discretionary review process. SIGNALS AND ALERTS The script includes alerts tied to state transitions and context changes. These alerts are descriptive events based on the model, not trade promises. Persistent Dislocation Triggers when the script enters the Persistent Dislocation state. Extended Triggers when the script enters the Extended state. Overextended Triggers when the script enters the Overextended state. Re-approaching Triggers when the script enters the Re-approaching state. Rebalanced Triggers when price rotates back toward the weighted mean after prior displacement. Score Threshold Cross Triggers when the composite score crosses above the user-defined threshold. Bias Flip Triggers when directional bias flips across VWMA. These alerts are intended to support monitoring and workflow organization. They should be interpreted in the context of the broader chart. KEY INPUTS VWMA Length Controls the length of the volume-weighted mean. Normalization Mode Selects whether normalized displacement is built from ATR, standard deviation, or a hybrid of the two. Normalization Length Controls the lookback used in the normalization engine. Distance Smoothing Adjusts smoothing applied to the displacement behavior. Regime Lookback Controls the lookback used in the regime context calculation. State Thresholds Define how mild, active, strong, and extreme displacement are classified. Persistence Confirmation Bars Helps distinguish brief separation from more sustained displacement. Re-Approach Confirmation Bars Controls how quickly the script recognizes contraction back toward the mean. Visual Settings Allow the user to manage bands, background context, VWMA visibility, line strength, opacity behavior, and label placement. Panel Settings Allow layout, position, theme, and text sizing adjustments. The script is intended to be configurable so the same framework can be adapted to different symbols and timeframes without changing its core logic. LIMITATIONS AND TRANSPARENCY This script does not predict future price direction. It is not a standalone trading system, not an execution engine, and not a substitute for full chart analysis. A strong displacement can remain strong for longer than expected. An overextended reading does not guarantee immediate reversal. A re-approaching or rebalanced state does not guarantee that a larger directional move has ended. Like any normalized framework, the output depends on the settings chosen by the user. Different symbols, timeframes, volatility environments, and threshold selections can meaningfully change the visual behavior and state classification. The script should be understood as a descriptive map around a volume-weighted mean, not as a promise of edge by itself. RISK DISCLOSURE This indicator is for analytical and educational charting use only. It does not provide financial advice, investment advice, or guaranteed outcomes. All trading and investing involve risk. Users should evaluate any signal, state change, or alert in the context of their own process, market conditions, risk controls, and independent judgment. AG Pro VWMA Dislocation Map is designed to help structure interpretation around VWMA displacement behavior. It is not designed to remove uncertainty from markets, and it should not be used as the sole basis for financial decisions.
Pine Script® göstergesi
AGProLabs tarafından
1
ATR Trailing Stops for Hyperliquid Spot + Perps [HYPR-run]DESCRIPTION: A drop-in ATR trailing exits module. Four architectures that maximize profit on winning trades using volume weighted volatility instead of fixed levels or plain ATR. Built modular; the trailing logic is self-contained so you can drop it into any existing indicator or strategy as a plug-and-play exits block. Two independent stops (long/short), spot and perps. DISCOVERING EDGE ATR trailing exits are popular, everyone uses them, but this indicator doesn't just trail on volatility, it trails on meaningful volatility that very few people measure. In order to gain a persistent, mechanical edge in how winners run and protect capital on the trades that don't work, we explored a more meaningful expression of ATR trailing exits. VOLUME-WEIGHTED ATR vs PLAIN ATR Plain ATR treats every candle equally. Volume-weighted ATR will only expand stops when volume validates the volatility, preventing premature exits on noise and letting winners run further on real moves. Over hundreds of trades this single difference can compound in the spirit of letting winners run further, losers stay controlled versus fixed levels or vanilla ATR. - Four modes (A3.1, A4.0, A4.1, A4.2) cover different trailing behaviors: ratcheting, chandelier anchor, free-floating, and raw baseline. All size stop distance from volatility, not fixed levels. - Modular engine. The trailing logic is self-contained; drop it into any existing indicator or strategy as a plug-and-play exits block. - Alerts fire built-in JSON webhook payloads. Paste your webhook URL, create the alert, execute on the exchange of your choice. ATR MODES A3.1: LinReg + plain ATR, no ratchet. The baseline. Linear regression projects where price is heading, plain ATR sets the distance. Stop moves freely in both directions. Use as a reference or when you want a raw trailing stop. A4.0: LinReg + VWATR + Efficiency Ratio + ratchet (default). The all-rounder. Volume-weighted ATR discounts low-liquidity candles. The Efficiency Ratio (Kaufman) measures trend quality: in a clean trend it widens the stop to let price run; in chop it tightens. Ratchet floor means the stop only moves in your favor. A4.1: Chandelier + VWATR + ratchet + first-bar multiplier. Anchored to the highest high (longs) or lowest low (shorts). First-bar multiplier sets a tighter initial stop, then the standard multiplier takes over as the ratchet locks in gains. Use when entering off key levels. A4.2: LinReg + VWATR, no ratchet. Same as A4.0 but without ratchet floor or Efficiency Ratio. Stop moves freely with the projection, giving the trade room through consolidation at the cost of less locked profit. FEATURES - Four ATR architectures selectable via dropdown - Volume-weighted ATR: low-liquidity candles contribute less - Efficiency Ratio: tightens in chop, widens in trend (A4.0) - Ratchet floor: stop only moves in your favor (A4.0, A4.1) - First-bar multiplier for tighter initial protection (A4.1) - Separate ATR lookbacks for longs and shorts - Separate multipliers for longs and shorts - Two-bar confirmation prevents single-wick fakeouts - Gradient fill between price and stop (intensifies near danger) - Stop line color shifts with ATR regime (green stable, amber expanding) - Ratchet circles mark each new locked-in level on the stop line - Dashboard: mode, stop price, gap %, ER, VWATR %, regime state - Dark/light theme toggle for any chart background - Independent long/short alert toggles - No JSON snippet needed; close payload is built into the script HOW IT WORKS Volume-weighted ATR scales each bar's true range by its volume relative to the lookback average. High-volume bars contribute more; thin candles contribute less. This prevents low-liquidity spikes from inflating stop distance. Separate lookbacks for longs (default 14) and shorts (default 26) reflect that crypto drops faster than it climbs. The Efficiency Ratio measures directional movement versus noise on a 0-1 scale. It scales the ATR multiplier between 0.8x (choppy) and 1.2x (trending), adapting stop width to market regime. Only active in A4.0. Two-bar confirmation requires a confirmed close beyond the stop level. A single wick does not trigger the exit. The cross must hold for at least one additional bar close. ALERTS Close Long fires as SPOT (sell spot position). Close Short fires as PERPS (close short; spot is long-only). Toggle each independently. Alert payload is built into the script as JSON; works with any webhook receiver that accepts market/ticker/position fields. CREDITS ATR: J. Welles Wilder (1978) Efficiency Ratio: Perry Kaufman
Pine Script® göstergesi
HYPR-run tarafından
AG Pro VWAP Reclaim Quality [AGPro Series]AG PRO VWAP RECLAIM QUALITY OVERVIEW AG Pro VWAP Reclaim Quality is a chart-first tool built to evaluate whether a move back above VWAP is clean, weak, delayed, or structurally fragile. This script does not treat every recovery above VWAP as equally meaningful. Instead, it grades the reclaim event itself and then follows what happens next: whether price can hold above VWAP, whether the retest is constructive, and whether the reclaim deteriorates shortly after recovery. The objective is simple: separate efficient VWAP reclaims from noisy or late recoveries that may look promising at first glance but fail to show durable acceptance. This makes the script useful for traders who want more context than a basic VWAP cross. A standard cross can show that price moved from one side of VWAP to the other. This script is designed to evaluate the quality of that transition. UNIQUE EDGE The focus here is not generic VWAP direction bias and not a simple above/below state model. The main edge of the script is its reclaim-quality framework. It evaluates the reclaim as a sequence rather than as a one-line event: 1) reclaim strength, 2) post-reclaim acceptance, 3) retest behavior, 4) timing quality, 5) failure risk. That structure is what differentiates it from ordinary VWAP cross tools. A reclaim that closes back above VWAP with a strong bar, holds acceptance, and survives a disciplined retest should not be treated the same as a reclaim that occurs late, stalls immediately, or fails after a shallow recovery. This script is designed to reflect that distinction visually and systematically. In practical terms, the script attempts to answer a more specific question: Is this reclaim simply back above VWAP, or is it actually behaving like a higher-quality recovery? METHODOLOGY The script starts by tracking session VWAP and identifying reclaim attempts after price has spent time below it. Once a reclaim is detected, the script evaluates several components: 1) Reclaim strength The reclaim bar is assessed using distance from VWAP, body efficiency, and close location within the bar. This helps distinguish decisive recoveries from marginal crosses. 2) Acceptance above VWAP After the reclaim, the script measures whether price is actually holding above VWAP over the next bars. Stable acceptance is treated differently from mixed or poor acceptance. 3) Retest behavior The script checks whether price revisits VWAP inside a defined tolerance area and whether that test is held constructively. A confirmed retest is handled as separate information rather than being merged blindly into the initial reclaim. 4) Timing quality Reclaims that occur after an extended stay below VWAP, or later in the intraday session, can be penalized. This allows the script to separate timely recoveries from delayed ones. 5) Failure logic A reclaim can later be downgraded if price loses structure below VWAP after the recovery. This failure layer is intentionally more selective so that minor noise is not treated as a meaningful reclaim breakdown. The result is a compact grading model that produces a readable chart-first output instead of a large diagnostic dashboard. HOW TO READ THE OUTPUT Main chart labels: - CLEAN: reclaim quality is strong and structurally healthy - LATE: reclaim occurred, but timing quality is weaker or delayed - RT HOLD: VWAP retest was revisited and held constructively - FAILED: reclaim lost quality and broke down after recovery Panel fields: - VWAP Reclaim: current reclaim classification - Reclaim: strength of the reclaim move itself - Acceptance: quality of post-reclaim holding behavior - Retest: whether a constructive retest is confirmed - Bias: summary interpretation of the current reclaim state - Quality: compact score representation The chart is intentionally designed to stay visual and readable. The panel provides state context, while the labels highlight the important transition points. SIGNALS AND ALERTS The script includes alert conditions for: - Clean Reclaim - Late Reclaim - Retest Hold - Failed Reclaim These alerts are intended to map to the reclaim lifecycle rather than to every minor VWAP interaction. For more conservative usage, bar-close confirmation is generally preferable when evaluating reclaim quality, especially on volatile instruments or during rapid intrabar movement. KEY INPUTS Some of the main controls include: - VWAP source - ATR length - reclaim distance normalization - minimum prior bars below VWAP - late reclaim thresholds - acceptance lookback - retest tolerance and retest window - failure delay bars - panel text size and panel theme - label visibility and label discipline controls The script also includes label filtering logic to reduce clustering and keep the chart cleaner by default. WHAT THIS SCRIPT IS DESIGNED FOR This script is designed for traders who want to evaluate reclaim quality around VWAP, not merely track whether price is above or below it. Typical use cases may include: - reviewing whether a recovery above VWAP has enough structural follow-through - filtering weak reclaims from stronger continuation candidates - identifying retest discipline after reclaim - spotting delayed or fragile recovery behavior - keeping a cleaner visual workflow around VWAP-based chart reading LIMITATIONS AND TRANSPARENCY This script is not a prediction engine and should not be interpreted as a guaranteed continuation model. A reclaim labeled as clean can still fail. A reclaim labeled as late can still continue. A failed reclaim label does not automatically imply a larger bearish trend. The tool is designed to classify reclaim behavior around VWAP, not to replace broader market structure analysis. Like all chart-based tools, outputs can vary depending on instrument, volatility regime, timeframe, and user settings. VWAP-based behavior is also context-dependent. Market environment, liquidity, trend phase, and volatility expansion can all influence reclaim behavior beyond what a single script can capture. This script is therefore best used as a structured interpretation tool, not as a standalone decision framework. RISK DISCLOSURE This indicator is for chart analysis and research use only. It does not provide investment advice, portfolio advice, or trade guarantees. Always evaluate signals within broader market context, risk management, and your own execution process. No single indicator should be relied upon in isolation. NOTES This publication focuses on reclaim quality around VWAP rather than generic VWAP crosses. The aim is to keep the logic interpretable, the visuals readable, and the methodology transparent.
Pine Script® göstergesi
AGProLabs tarafından
1
Periodic Anchored VWAPPeriodic Anchored VWAP Overview The Periodic Anchored VWAP is a professional volume-weighted average price indicator that anchors VWAP calculations to fixed calendar periods. Unlike traditional anchored VWAP tools that require manual point-and-click anchoring, this indicator automatically resets VWAP calculations at predefined interval boundaries (hourly, daily, weekly, monthly), providing a clean, systematic approach to volume-weighted support and resistance analysis. Key Features 13 Anchor Periods: 1H, 4H, 6H, 12H, 1D, 3D, 1W, 2W, 1M, 2M, 3M, 6M, 12M Smart Timeframe Filtering: Automatically hides VWAPs when chart timeframe equals or exceeds anchor period Individual Period Controls: Toggle each VWAP on/off independently with custom colors Master Toggle: Global show/hide for all VWAP lines Dynamic Labels: Real-time price labels at the right edge of chart Compact Settings: Streamlined input panel with inline color pickers How It Works The Golden Rule VWAP is displayed ONLY when: Chart Timeframe < Anchor Period This ensures VWAP lines always represent meaningful continuous calculations. For example: 1H VWAP appears only on timeframes smaller than 1 hour (e.g., 15min, 5min, 1min) 1D VWAP appears only on timeframes smaller than daily (e.g., 4H, 1H, 15min) 1W VWAP appears only on timeframes smaller than weekly (e.g., daily, 4H, 1H) Anchor Logic Each VWAP resets at its respective period boundary: Intraday Anchors (1H, 4H, 6H, 12H): Reset at the start of each hour/4-hour/6-hour/12-hour period Daily Anchors (1D, 3D): Reset at daily market open Weekly Anchors (1W, 2W): Reset at weekly market open Monthly Anchors (1M, 2M, 3M, 6M, 12M): Reset at month boundaries Input Settings Master Control: VWAP Display Show / Hide Global toggle for all VWAP lines Intraday Anchors (Default: Off): 1H => Teal => Short-term intraday reference 4H => Pink => Medium-term intraday reference 6H => Magenta => Half-day session reference 12H => Cyan => Full session reference Anchor VWAP Periods (Default: On): 1D => Yellow/Green => Daily support/resistance 3D => Purple => Multi-day trend reference 1W => Blue => Weekly pivot levels 2W => Light Blue => Bi-weekly trend 1M => Green => Monthly support/resistance 2M => Dark Green => 2-month horizon 3M => Yellow => Quarterly reference 6M => Orange => Semi-annual trend 12M => Red => Annual benchmark Visual Display VWAP Lines: Colored lines plotted at 2px thickness for clear visibility: Right-Edge Labels: Compact labels showing period and current VWAP value Smart Label Colors: Black or white text automatically based on line color for optimal readability Use Cases Intraday Trading: Use 1H, 4H, 6H, 12H VWAPs on lower timeframes (e.g., 5min, 15min) to identify intraday support/resistance levels Multiple intraday VWAPs reveal stacked liquidity zones Swing Trading: 1D, 3D, 1W, 2W VWAPs help identify trend direction and mean reversion levels Weekly VWAP provides context for daily price action Position Trading: 1M, 3M, 6M, 12M VWAPs offer long-term benchmarks for valuation assessment Multiple monthly VWAPs show multi-year price distribution Multi-Timeframe Analysis: Visualize up to 13 VWAP levels simultaneously Identify confluences where multiple VWAP periods align Observe how price interacts with different anchored levels Important Notes Timeframe Limitations: VWAPs automatically hide when the chart timeframe is equal to or greater than the anchor period (prevents misleading point-to-point lines) Intraday Anchors Disabled by Default: Enable only the periods relevant to your trading style to reduce visual clutter Monthly Anchors: Use 30-day approximation for minute calculations; display logic ensures they only appear on daily or lower timeframes Label Positioning: Labels appear 1-13 bars to the right of the current bar to prevent overlap with price action Performance Efficiently coded with looped label management No repainting — all calculations are historical Compatible with all markets and symbols Version History v.1.0 => Initial release with 13 anchor periods, timeframe validation, and dynamic labels Start using Periodic Anchored VWAP to elevate your volume-weighted analysis across all timeframes!
Pine Script® göstergesi
BacktestTerminal tarafından
Volume Weighted Intra Bar KurtosisThis indicator analyzes market sentiment by providing a detailed view of Excess Kurtosis ("Fat Tails"). It uses data from a lower, intra-bar timeframe to separate the total kurtosis of a single bar into distinct, interpretable components. Key Features: 1. **Intra-Bar Kurtosis Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). Unlike Variance, the Fourth Central Moment (Kurtosis) decomposes into three parts: - **Between-Bar Kurtosis (Gold):** Peakedness of the price path *between* the intra-bar candles. High values indicate that the macro movement happened in jumps or gaps rather than a smooth progression. - **Within-Bar Kurtosis (Blue):** Fat tails derived from the microstructure (extreme wicks) *inside* the intra-bar candles. - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since Kurtosis coefficients are not linearly additive, this indicator calculates the *exact* Total Kurtosis and partitions the columns based on the additive Fourth Moment Decomposition (`M4Tot = M4Btw + M4Wtn + M4Int`). 3. **Dual Display Modes:** The indicator offers two modes to visualize this information: - **Absolute Mode:** Plots the *total* kurtosis as a stacked column chart, showing the *absolute magnitude* of tail risk and the contribution of each component. - **Relative Mode:** Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the *energy ratio* of the components. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and moment calculations. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* kurtosis line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes alerts for: - Kurtosis magnitude (High Positive / High Negative). - Kurtosis character changes/emerging/fading. - Total Kurtosis pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Volume Weighted LR KurtosisThis indicator analyzes market character by decomposing total Excess Kurtosis ("Fat Tails") into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Four-Component Kurtosis Decomposition:** The indicator separates market tail risk based on the 'Estimate Bar Statistics' option. It leverages the Law of Total Moments to provide an additive breakdown of the 4th Statistical Moment: - **Trend Kurtosis (Gold):** Peakedness of the regression line itself. High values indicate the trend moves in sudden jumps, steps, or gaps (discontinuous path). - **Residual Kurtosis (Red):** Excess Kurtosis of the noise around the regression line. This captures the "Hidden Tail Risk" (extreme outliers relative to the trend). - **Within-Bar Kurtosis (Blue):** Fat tails derived from the microstructure of individual bars (requires 'Estimate Bar Statistics'). - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since statistical moments are additive, this indicator calculates the *exact* Total Kurtosis and partitions the area to visualize the contribution (weight) of each structural source to the overall tail risk. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *total* kurtosis as a stacked area chart, allowing to see the magnitude of tail risk. Stacking logic groups components to ensure visual clarity. - **Relative Mode:** Displays the direct *contribution ratio* (proportion) of each component relative to the total sum, ideal for identifying the dominant driver of the risk. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the kurtosis of *returns* rather than absolute prices. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and moment calculations, emphasizing high-participation moves. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* kurtosis line. This helps identify extremes in market fragility or structural changes. - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Kurtosis Lines:** The kurtosis lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Kurtosis magnitude (High Positive / High Negative). - Kurtosis character changes/emerging/fading. - Total Kurtosis pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Volume Weighted KurtosisThis indicator analyzes market sentiment by decomposing total Excess Kurtosis ("Fat Tails") into distinct, interpretable components: "Between-Bar" (Trend Path) and "Within-Bar" (Microstructure). Key Features: 1. **Moment-Based Kurtosis Decomposition:** The indicator separates kurtosis based on the 'Estimate Bar Statistics' option. It leverages the additive property of the Fourth Central Moment (Cumulants) to ensure mathematical rigor: - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates simple kurtosis of the selected `Source`. - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* kurtosis. This separates the tail risk into: - **Between-Bar Kurtosis (Gold):** Peakedness of the price path itself. High values indicate the trend moves in jumps or gaps rather than a smooth progression. - **Within-Bar Kurtosis (Blue):** Fat tails within the microstructure. High values imply significant outliers inside the bars (e.g., extreme wicks). - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since Kurtosis coefficients are not linearly additive, this indicator calculates the *exact* Total Kurtosis and partitions the area/ratios based on the additive Fourth Moment Decomposition (`M4Tot = M4Btw + M4Wtn + M4Int`). This ensures the displayed total kurtosis remains mathematically accurate. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *Total Kurtosis* as the main line, with the background filled by the stacked components. Shows the *magnitude* of the tail risk. - **Relative Mode:** Displays the **Contribution Ratios** of each component (-1.0 to 1.0). This isolates the *structure/quality* of the risk (e.g., "Is the risk driven by the trend jumps or by the candle instability?"). 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the kurtosis of *returns* rather than absolute prices. (Essential for correct statistical properties). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all moment calculations, emphasizing high-participation moves. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *Total Kurtosis* line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Kurtosis Lines:** The kurtosis lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Kurtosis magnitude (High Positive / High Negative). - Character changes (Inter-Bar vs. Intra-Bar dominance). - Total Kurtosis pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Volume Weighted Intra Bar SkewnessThis indicator analyzes market sentiment by providing a detailed view of skewness (asymmetry). It uses data from a lower, intra-bar timeframe to separate the total skewness of a single bar into distinct, interpretable components. Key Features: 1. **Intra-Bar Skewness Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). Unlike Variance, the Third Central Moment (Skewness) decomposes into three parts: - **Between-Bar Skewness (Gold):** Asymmetry of the price path *between* the intra-bar candles. Indicates if the macro movements within the bar accelerated in one direction. - **Within-Bar Skewness (Blue):** Asymmetry of the microstructure (wicks vs. tails) *inside* the intra-bar candles. - **Interaction Skewness (Grey):** The component arising from the comovement of local means and local variances (e.g., does volatility increase when price drops?). 2. **Visual Decomposition Logic:** Total Skewness is the primary metric displayed. Since Skewness coefficients are not linearly additive, this indicator calculates the *exact* Total Skewness and partitions the columns based on the additive Third Moment Decomposition (`M3Tot = M3Btw + M3Wtn + M3Int`). 3. **Dual Display Modes:** The indicator offers two modes to visualize this information: - **Absolute Mode:** Plots the *total* skewness as a stacked column chart, showing the *absolute magnitude* of asymmetry and the contribution of each component. - **Relative Mode:** Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the *energy ratio* of the components. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and moment calculations. 5. **Skewness Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *total* skewness line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes alerts for: - Skewness magnitude (High Positive / High Negative). - Skewness character changes/emerging/fading. - Total Skewness pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Volume Weighted LR SkewnessThis indicator analyzes market character by decomposing total skewness (asymmetry) into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Four-Component Skewness Decomposition:** The indicator separates market asymmetry based on the 'Estimate Bar Statistics' option. It leverages the Law of Total Moments to provide an additive breakdown of the 3rd Statistical Moment: - **Trend Skewness (Green/Red):** Asymmetry originating from the slope of the regression line itself. Indicates if the trend path is geometrically skewed. - **Residual Skewness (Yellow):** Asymmetry of the noise around the regression line. Captures "Tail Risk" (e.g., sudden spikes against the trend). - **Within-Bar Skewness (Blue):** Asymmetry derived from the microstructure of individual bars (requires 'Estimate Bar Statistics'). - **Interaction Skewness (Dark Grey):** Asymmetry caused by the correlation between price levels and volatility (e.g., volatility expanding as price moves in one direction). *Dominance of this component indicates an unstable, emotional market.* 2. **Visual Decomposition Logic:** Total Skewness is the primary metric displayed. Since statistical moments are additive, this indicator calculates the *exact* Total Skewness and partitions the area to visualize the contribution (weight) of each structural source to the overall market bias. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *total* skewness as a stacked area chart, allowing to see the magnitude of tail risk. Stacking logic groups components with the same sign to ensure visual clarity. - **Relative Mode:** Displays the direct *contribution ratio* (proportion) of each component relative to the total sum, ideal for identifying the dominant driver of asymmetry. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the skewness of *returns* rather than absolute prices. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and moment calculations, emphasizing high-participation moves. 5. **Skewness Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* skewness line. This helps identify extremes in market sentiment or structural bias. - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Skewness Lines:** The skewness lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Skewness magnitude (High Positive / High Negative). - Skewness character changes/emerging/fading. - Total Skewness pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Volume Weighted SkewnessThis indicator analyzes market sentiment by decomposing total skewness (asymmetry) into two distinct, interpretable components: "Between-Bar" (Inter-Bar) and "Within-Bar" (Intra-Bar) skewness. Key Features: 1. **Moment-Based Skewness decomposition:** The indicator separates skewness based on the 'Estimate Bar Statistics' option. It leverages the additive property of the Third Central Moment to ensure mathematical rigor: - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates simple skewness of the selected `Source`. - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* skewness. This separates the asymmetry into: - **Between-Bar Skewness (Gold):** Asymmetry of the price path itself. A positive value indicates that the trend moves more aggressively upwards than downwards. - **Within-Bar Skewness (Blue):** Asymmetry of the microstructure (wicks vs. tails). A positive value implies strong buying pressure within the bars (long tails). 2. **Visual Decomposition Logic:** Total Skewness is the primary metric displayed. Since Skewness coefficients are not linearly additive, this indicator calculates the *exact* Total Skewness and partitions the area/ratios based on the additive Third Moment Decomposition (`M3Tot = M3Btw + M3Wtn`). This ensures the displayed total skewness remains mathematically accurate. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *Total Skewness* as the main line, with the background filled by the stacked components. Shows the *magnitude* and direction of the tail risk. - **Relative Mode:** Displays the **Contribution Ratios** of each component (-1.0 to 1.0). This isolates the *structure/quality* of the asymmetry (e.g., "Is the skewness driven by the trend or by the candle shapes?"). 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the skewness of *returns* rather than absolute prices. (Essential for correct statistical properties). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all moment calculations, emphasizing high-participation moves. 5. **Skewness Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *Total Skewness* line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Skewness Lines:** The skewness lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Skewness magnitude (High Positive / High Negative). - Character changes (Inter-Bar vs. Intra-Bar dominance). - Total Skewness pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Volume Weighted Intra Bar LR CorrelationThis indicator analyzes market character by providing a detailed view of correlation. It applies a Linear Regression model to intra-bar price action, dissecting the total correlation of each bar into three distinct components. Key Features: 1. **Three-Component Correlation Decomposition:** The indicator separates correlation based on the 'Estimate Bar Statistics' option. - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates correlation based on the selected `Source` (this results mainly in 'Trend' and 'Residual' correlation). - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* correlation. (Assumption: In this mode, the `Source` input is **ignored**, and an estimated mean for each bar is used instead). This separates correlation into: - **Trend Correlation (Green/Red):** Correlation explained by the regression's slope (Directional Alignment). - **Residual Correlation (Yellow):** Correlation from price oscillating around the regression line (Mean-Reversion/Cointegration). - **Within-Bar Correlation (Blue):** Correlation from the high-low range of each bar (Microstructure/Noise). 2. **Visual Decomposition Logic:** Total Correlation is the primary metric displayed. Since Correlation Coefficients are not linearly additive, this indicator plots the *exact* Total Correlation and partitions the area underneath based on the Covariance Ratio. This ensures the displayed total correlation remains mathematically accurate while showing relative composition. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *total* correlation as a stacked area chart, partitioned by the ratio of the three components. - **Relative Mode:** Displays the direct *energy ratio* (proportion) of each component relative to the total (0-1), ideal for identifying the dominant market character. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for growth assets. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and correlation calculations. 5. **Correlation Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *total* correlation line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Correlation Lines:** The correlation lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Correlation magnitude (High Positive / High Inverse). - Correlation character changes/emerging/fading. - Total Correlation pivot (High/Low) detection. **Caution! Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Volume Weighted Intra Bar CorrelationThis indicator analyzes market character by providing a detailed view of correlation. It uses data from a lower, intra-bar timeframe to separate the total correlation of a single bar into two distinct components. Key Features: 1. **Intra-Bar Correlation Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe') and quantifies two types of correlation: - **Between-Bar Correlation (Directional):** Calculated from price movements *between* the intra-bar candles. This component represents the **macro-movement** correlation within the main bar. - **Within-Bar Correlation (Non-Directional):** Calculated from price fluctuations *inside* each intra-bar candle. This component represents the **microstructure/noise** correlation. 2. **Visual Decomposition Logic:** Total Correlation is the primary metric displayed. Since Correlation Coefficients are not linearly additive, this indicator plots the *exact* Total Correlation and partitions the area underneath based on the Covariance Ratio. This ensures the displayed total correlation remains mathematically accurate while showing relative composition. 3. **Dual Display Modes:** The indicator offers two modes to visualize this information: - **Absolute Mode:** Plots the *total* correlation as a stacked column chart, showing the *absolute magnitude* of correlation and the contribution of each component. - **Relative Mode:** Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the *energy ratio* of 'between-bar' (macro) and 'within-bar' (micro) correlation. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and covariance calculations. 5. **Correlation Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *total* correlation line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes alerts for: - Correlation magnitude (High Positive / High Inverse). - Correlation character changes/emerging/fading. - Total Correlation pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından
Universal Moving Average🙏🏻 UMA (Universal Moving Average) represents the most natural and prolly ‘the’ final general universal entity for calculating rolling typical value for any type of time-series. Simply via different weighting schemes applied together, it encodes: Location of each datapoint in corresponding fields (price, time, volume) Informational relevance of each datapoint via using windowing functions that are fundamental in nature and go beyond DSP inventions & approximations Innovation in state space (in our case = volatility) The real beauty of this development: being simply a weighting scheme that can be applied to anything: be it weighted median , weighted quantile regression, or weighted KDE , or a simple weighted mean (like in this script). As long as a method accepts weights, you can harness the power of this entity. It means that final algorithmic complexity will match your initial tool. As a moving ‘average’ it beats ALMA, KAMA, MAMA, VIDYA and all others because it is a simple and general entity, and all it does is encoding ‘all’ available information. I think that post might anger a lot of people, because lotta things will be realized as legacy and many paywalls gonna be ignored, specially for the followers of DSP cult, the ones who yet don’t understand that aggregated tick data is not a signal omg, it’s a completely different type of time series where your methods simply don’t fit even closely. I am also sorry to inform y’all, that spectral analysis is much closer to state-space methods in spirit than to DSP. But in fact DSP is cool and I love it, well for actual signals xD ... Weights explained & how to use them: as I already said, the whole thing is based on combining different set of weights, and you can turn them on/off in script settings. Btw I've set em up defaults so you can use the thing on price data out of the box right away. Price, Time, Volume weights: encode location of every datapoint in Price & TIme & Volume field Howtouse: u have to disable one weight that corresponds to the field you apply UMA to. E.g if you apply UMA to prices, you turn off price weighting And turn on time and volume weighting. Or if you apply UMA to volume delta, you turn off volume weighting And turn on price and time weighting. Higher prices are more important, this asymmetry is confirmed and even proved by the fact that prices can’t be negative (don’t even mention that incorrect rollover on CL contract in 2k20...). Signal weights: encode actuality/importance/relevance of datapoints. Howtouse: in DSP terms, it provides smoothing, but also compensates for the lag it introduces. This smoothness is useful if you use slope reversals for signal generation aka watching peaks and valleys in a moving average shape. It's also better to perturb smoothed outputs with this , this way you inject high freq content back, But in controlled way! Signal = information. The fundamental universal entity behind so-called “smoothing” in DSP has nothing to do with signals and goes eons beyond DSP. This is simply about measuring the relevance of data in time. First, new datapoints need some time to be “embedded” into the timeline, you can think of it as time proof, kinda stuff needs time to be proved, accepted; while earliest datapoints lose relevance in time. Second, along with the first notion, at the same time there’s the counter notion that simply weights new data more, acting as a counterweight from the down-weighting of the latest datapoints introduced by the first notion. The first part can be represented as PDF of beta(2, 2) window (a set of weights in our case). It’s actually well known as the Welch window, that lives in between so called statistical and DSP worlds, emerges in multiple contexts. Mainstream DSP users tho mostly don’t use this one, they use primitive legacy windowing function, you can find all kinds on this wiki page. Now the second part, where DSP adepts usually stop, is to introduce the second compensating windowing function. Instead they try to reduce window size, or introduce other kinds of volatility weights, do some tricks, but it ain’t provides obviously. The natural step here is to simply use the integral of the initial window; if the initial window is beta(2, 2) then what we simply need is CDF of beta(2, 2), in fact the vertically inverted shape of it aka survival function . That’s it bros. Simply as that. When both of these are applied you have smth magical, your output becomes smooth and yet not lagging. No arbitrary windowing functions, tricks with data modification etc Why beta(2, 2)? It naturally arises in many contexts, it’s based on one of the most fundamental functions in the universe: x^2. It has finite support. I can talk more bout it on request, but I am absolutely sure this is it. ^^ impulse response of the resulting weighs together (green) compared with uniform weights aka boxcar (red). Made with this script . Weighing by state: encodes state-space innovation of each datapoint, basically magnitude of changes, strength of these changes, aka volatility. Howtouse: this makes your moving average volatility aware in proper math ways. The influence of datapoints will be stronger when changes are stronger. This is weighting by innovations, or weighting by volatility by using squared returns. Why squared returns? They encode state‑space innovations properly because the innovation of any continuous‑time semimartingale is about its quadratic variation, and quadratic variation is built from squared increments, not absolute increments. Adaptive length is not the right way to introduce adaptivity by volatility xD. When you weight datapoints by squared returns you’re already dynamically varying ‘effective’ data size, you don’t need anything else. ... It’s all good, progress happens, that’s how the Universe works, that's how Universal Moving Average works. Time to evolve. I might update other scripts with this complete weighting scheme, either by my own desire or your request. ... ∞
Pine Script® göstergesi
gorx1 tarafından
5
Probability-Based Adaptive Detection🙏🏻 PBAD (Probability-Based Adaptive Detection) : adaptive control tool for outliers || novelty detection, made for worst case data & processes, for the highest time complexity O(n^2) compared with the alternatives (would be explained in a sec). Thresholds are completely data driven and axiomatic, no need in provided hyperparameters, are not learned or optimized. The method accepts multiple weights, e.g. both temporal and volatility weights. Method briefly explained (I can go deeper if any1 asks explicitly): Performs weighted KDE on initial input data, finds KDE global maximum (mode), creates new “residuals” dataset by centering initial data around this value; Performs weighted KDE on residuals, uses sigmoid based probability mass targets with increasing probability coverage to construct a set of non-disjoint High Density Intervals (also called HDR, HPD in Bayesian terms); Uses these intervals to calculate analogs of centralized & standardized moments; Uses these ^^ moments to construct a set of control thresholds. The scheme used in PBAD is not only based on a central threshold, or on neighboring ones, it utilizes all previous thresholds, gaining more information. ... The most important part is to understand whether you really need PBAD. Because even tho it seems to be the best one given highest algocomplexity, irl it would work worse in cases when it’s not required by your data. Here’s the menu (aka taxonomy omg) of methods you can use that would let you make the right choice: Moment-Based Adaptive Detection (MBAD) : Norm: L2 Time complexity: original O(n), successfully reduced to O(1) in online version Use case: default, general purpose Based on: method of moments (powers of residuals from mean) Thresholds architecture: centralized Quantile-Based Adaptive Detection (QBAD): Norm: L1 Time complexity: O(nlogn) Use case: either bad data Or process instability Based on: quantile moments (dyadic percentiles of residuals from median) Thresholds architecture: chained/recursive/sequential Probability-Based Adaptive Detection (PBAD): Norm: L0 Time complexity: O(n^2) Use case: both bad data And process instability Based on: probability moments (target probability masses of residuals from KDE mode) Thresholds architecture: decentralized (for lack of a better name xd, the idea is that these thresholds gain information from the all other threshold and are Not exclusively based on the central or neighboring thresholds) ... Examples of true use cases: ^^ an appropriate financial instrument to use PBAD ^^ and another one ... Additional details about how to use it: Keep the student5 kernel, it’s the best you can do. I added others mostly for comparisons and if you want to use the tool Not for its primary purpose (on a fine data) “Calculate for N bars” and “Starting at bar N” options allow to reduce calculation period only on the N number of last bars or next bars from a chosen one. It's vital, because calculations here are heavy Keep plotting offset at 1 (allows to visually compare current bar with the previous threshold values). This is the way it should be done on price data. HLC3 is the optimal source input, unless you want to use your own better one point estimate of each datapoint (in the best case done by using PBAD itself on OHLC+ values). In essence it should be used just like MBAD or QBAD, fade/push extensions and limit, fade/push/skip deviations & basis, or other strategies of your. Again, the only reason for 3 methods to exist is to be chosen for according data characteristics. Btw: This is the initial version, I don’t consider it perfected tbh, even tho it works as expected, however this method is very situational anyways. In this script KDE function is modified to ensure the outcoming probabilities Do sum up to 1. I didn’t do this normalization in Weighted KDE Mode script , but there it’s not required since we just need a KDE global max. see ya ∞
Pine Script® göstergesi
gorx1 tarafından
1
For Vietnamese: 3D Volume Weighted Liquidity LevelIntroduction The 3D Volume Weighted Liquidity Level indicator visualizes market structure by identifying key support and resistance zones based on Pivot Highs and Lows. Unlike standard support/resistance lines, this tool adds a "3D" dimension by calculating the depth of the zone based on Accumulated Volume and Volatility (ATR). This helps traders visualize the "weighted" or significance of a specific price level. Key Features - 3D Visualization: Draws geometric boxes connecting similar Pivot points to create clear structural zones. - Volume & Volatility Depth: The height (depth) of the box is not random. It is calculated dynamically using the accumulated volume between pivots multiplied by the ATR. Thicker boxes imply higher volume accumulation and volatility at that level. - Liquidity Grab Detection: The indicator automatically detects and highlights bars that "grab liquidity" (break the top of a resistance box or the bottom of a support box), signaling potential stop hunts or reversals. - Customizable Sensitivity: Users can adjust pivot lengths, search depth, and the volume scaling factor to fit different timeframes and assets. How to Use - Support & Resistance: Use the Blue Boxes as potential Support zones and Red Boxes as potential Resistance zones. - Trend Reversals: Watch for the Liquidity Grab signals (colored bars). If price pierces a box but fails to close significantly beyond it, it often indicates a trap or a reversal setup. - Volume Analysis: Pay attention to the thickness of the boxes. A thicker box suggests that a significant amount of volume was traded to form that structure, making it a stronger level of interest.
Pine Script® göstergesi
doqkhanh tarafından
Volume Weighted Volatility RegimeThe Volume-Weighted Volatility Regime (VWVR) is a market analysis tool that dissects total volatility to classify the current market 'character' or 'regime'. Using a Linear Regression model, it decomposes volatility into Trend, Residual (mean-reversion), and Within-Bar (noise) components. Key Features: Seven-Stage Regime Classification: The indicator's primary output is a regime value from -3 to +3, identifying the market state: +3 (Strong Bull Trend): High directional, upward volatility. +2 (Choppy Bull): Moderate upward trend with noise. +1 (Quiet Bull): Low volatility, slight upward drift. 0 (Neutral): No clear directional bias. -1 (Quiet Bear): Low volatility, slight downward drift. -2 (Choppy Bear): Moderate downward trend with noise. -3 (Strong Bear Trend): High directional, downward volatility. Advanced Volatility Decomposition: The regime is derived from a three-component volatility model that separates price action into Trend (momentum), Residual (mean-reversion), and Within-Bar (noise) variance. The classification is determined by comparing the 'Trend' ratio against the user-defined 'Trend Threshold' and 'Quiet Threshold'. Dual-Level Analysis: The indicator analyzes market character on two levels simultaneously: Inter-Bar Regime (Background Color): Based on the main StdDev Length, showing the overall market character. Intra-Bar Regime (Column Color): Based on a high-resolution analysis within each single bar ('Intra-Bar Timeframe'), showing the micro-structural character. Calculation Options: Statistical Model: The 'Estimate Bar Statistics' option (enabled by default) uses a statistical model ('Estimator') to perform the decomposition. (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead). Normalization: An optional 'Normalize Volatility' setting calculates an Exponential Regression Curve (log-space). Volume Weighting: An option (Volume weighted) applies volume weighting to all volatility calculations. Multi-Timeframe (MTF) Capability: The entire dual-level analysis can be run on a higher timeframe (using the Timeframe input), with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...). Integrated Alerts: Includes 22 comprehensive alerts that trigger whenever the 'Inter-Bar Regime' or the 'Intra-Bar Regime' crosses one of the key thresholds (e.g., 'Regime crosses above Neutral Line'), or when the 'Intra-Bar Dominance' crosses the 50% mark. Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed. DISCLAIMER For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script® göstergesi
AustrianTradingMachine tarafından