Indicator
Liquidity Stress Exhaustion [MarkitTick]💡 A market-microstructure stress detector that flags moments of seller or buyer exhaustion by combining an Amihud-style illiquidity z-score with trend regime, a regression-based fair-value channel, and automated ATR trade levels. Rather than reacting to price alone, this script measures how much price is moving relative to the volume behind it, then cross-references that stress reading against trend direction and candle behavior to identify points where aggressive selling or buying is likely running out of steam.
✨ Originality and Utility
Most exhaustion-based tools on PulseWire rely on oscillator extremes (RSI, Stochastic) or candlestick pattern recognition in isolation. This script takes a different route: it borrows a concept from academic market-microstructure literature — price impact per unit of volume, i.e., illiquidity — and turns it into a real-time, standardized stress signal. Instead of asking "is price overextended?", it asks "is price moving too much for the volume that's actually trading?" A large true-range on abnormally low volume is treated as a sign of thin, stressed liquidity, and it is this stress, combined with a counter-trend candle, that defines exhaustion here — not price level alone.
This is not a simple mashup of unrelated indicators bolted together for the sake of a new publication. The illiquidity stress engine, the trend filter, the regression channel, and the correlation/ADX filters are all working toward a single, coherent question: is the current directional move statistically and structurally likely to reverse or stall? The z-scored stress reading identifies unusual conditions, the EMA trend filter and candle-close direction confirm which side is under pressure, and the optional Pearson-R and ADX filters exist specifically to suppress signals when the broader price action lacks the statistical structure (trending correlation, directional strength) needed to make the exhaustion reading meaningful. Each component narrows the false-positive rate of the others; removing any one of them would meaningfully change what the tool measures.
The script goes further than a plain signal generator by translating each exhaustion event into a fully computed trade plan — an ATR-derived stop, a dynamically computed R (risk unit), and three R-multiple take-profit targets — visualized directly on the chart and exposed through a structured alert payload designed for automation.
🔬 Methodology and Concepts
• Illiquidity Stress Engine
The core of the script computes a proxy for market illiquidity on every bar: true range divided by volume (with a safe fallback when volume is zero or unavailable), then compressed with a natural-log transform to tame outliers. This raw illiquidity series is then standardized into a z-score using a rolling mean and standard deviation over the "Stats Lookback" period. A z-score above your chosen "Stress Threshold (σ)" marks the bar as being in a state of high stress — meaning price moved an unusually large amount for the volume that supported it, a hallmark of thin liquidity and potential exhaustion of the prevailing move.
• Trend Regime Filter
Direction is established by comparing price (optionally pre-smoothed by an adaptive filter, see below) against an EMA of configurable length. Price below the EMA defines a downtrend; price above defines an uptrend. Exhaustion signals are only valid when they occur against the backdrop of an established trend in the opposite direction — a seller exhaustion signal requires the prior bar to have closed in a downtrend on a red candle, while buyer exhaustion requires an uptrend and a green candle.
• Adaptive Price Filters (Optional)
Two optional smoothing methods can replace raw closing price throughout the trend calculation:
Kalman Filter: a lightweight recursive estimator that continuously balances trust between the incoming price and its own prior estimate, adapting its responsiveness based on a fixed process/measurement noise ratio derived from your chosen length.
LLAMA (Linear-Lag Adjusted Moving Average): a hybrid that takes a simple moving average and adjusts it by half the recent linear slope, aiming to reduce the lag inherent in plain moving averages.
These exist to give the trend filter a smoother, less noise-reactive input than raw closing price when desired.
• Regression Fair-Value Channel
On the most recent bar, the script performs a least-squares linear regression over a lookback window (either a fixed length, or a dynamic length measured from the most recent qualifying pivot, capped by "Max Lookback Cap") using hlc3 as the source. From this it derives the regression line itself, its standard deviation, and the Pearson correlation coefficient (R), which measures how well price actually fits a straight line over that window. Inner and outer channel bands are plotted at user-defined standard-deviation multiples above and below the regression line, giving a visual statistical envelope for the recent price trend.
• Correlation and ADX Filters
Two independent filters can suppress exhaustion signals when the broader trend lacks structural conviction:
Pearson R Filter: when the absolute value of the regression's correlation coefficient falls below your threshold, the trend is considered statistically weak/directionless, and the channel is recolored neutral to flag this — though note this filter affects only the visual channel coloring, not signal firing.
ADX Filter: when enabled, exhaustion signals are only permitted when ADX is at or above your threshold, filtering out exhaustion calls during periods of weak directional movement.
• Pivot Detection
Standard confirmed pivot highs and lows (requiring the specified number of bars on each side) are tracked internally to support the optional Dynamic Pivot Mode, which — when enabled — sizes the regression lookback to the distance since the most recent confirmed pivot rather than using a fixed length.
• ATR Trade Level Construction
When a qualifying exhaustion signal fires and is confirmed, the script computes a full trade plan: the entry is the closing price of the confirmed exhaustion bar, the stop-loss is placed one ATR-multiple away (your "ATR SL Multiplier" times ATR over "ATR Length"), and the resulting stop distance defines one Risk unit ("R"). Three take-profit levels are then placed at your chosen R-multiples (default 1R, 2R, 3R) from entry. This entire trade plan updates and redraws only when a new, unlocked exhaustion signal fires.
• Lock Signal
Enabling "Lock Signal" freezes the currently displayed trade plan on the chart, preventing new exhaustion events from overwriting the active levels — useful for manually tracking a single trade through to its conclusion without the visual being replaced mid-trade.
🎨 Visual Guide
● Exhaustion Labels
"SE" label below a bar (bullish color by default) marks a confirmed Seller Exhaustion event — sellers pushed price down under stress conditions, and the setup favors a potential upside reaction.
"BE" label above a bar (bearish color by default) marks a confirmed Buyer Exhaustion event — buyers pushed price up under stress conditions, and the setup favors a potential downside reaction.
● Regression Channel
The dashed center line is the linear regression fair-value line over the active lookback window.
The two dotted inner lines mark the "Inner Deviation" band (default 1.0σ).
The two solid outer lines mark the "Outer Deviation" band (default 2.0σ).
The shaded fill between the inner bands is colored by trend direction — bullish or bearish color when the trend is statistically valid, neutral gray when the Pearson R Filter flags the trend as too weak/uncorrelated to trust.
An optional floating "STATS" label above the current bar displays the regression length, Pearson R value, and current stress z-score (σ) numerically, when "Show Metrics Label" is enabled.
● Trade Level Lines
Plotted only after a qualifying exhaustion event, extending toward the current bar:
Red solid line and "✕ SL" label: the calculated stop-loss.
Blue dashed line and "▶ Entry" label: the entry price (signal bar's close).
Three teal dashed lines of increasing opacity/solidity, with "◆ TP1", "✦ TP2", "◆ TP3" labels: the three R-multiple take-profit targets.
A red-tinted fill between the stop and entry lines visualizes the risk zone.
A teal-tinted fill between the entry and TP3 lines visualizes the reward zone.
● Dashboard (Table)
A compact panel, positioned per your "Dashboard Position" setting, reporting in real time: Lock status, current Trend Regime (Bullish/Bearish), Seller Status and Buyer Status (Exhausted/Normal), a visual Channel Width bar-meter (color-graded green/amber/red by relative width), a visual Pearson R bar-meter (same color grading by correlation strength), and — when an exhaustion signal is currently active — the live Entry, Stop Loss, and TP1 price levels. ADX value and Adaptive Filter type are appended as additional rows only when those features are enabled in the inputs.
📖 How to Use
Watch for an "SE" (Seller Exhaustion) label — this suggests a downtrend that produced an unusually large price move for its volume, on a down candle, potentially signaling sellers are running out of conviction and a bounce could follow.
Watch for a "BE" (Buyer Exhaustion) label — the mirror case in an uptrend, potentially signaling an approaching pullback or reversal.
Use the dashboard's Pearson R and Channel Width meters as a quick sanity check on trend quality before acting on a signal — a low R reading (channel shown in neutral gray) suggests the recent price action lacks a clean directional structure.
If ADX filtering is enabled, only signals occurring during sufficiently strong directional movement (per your threshold) will fire, which can help avoid exhaustion calls inside choppy, low-ADX conditions.
Once a signal fires, the plotted SL/Entry/TP1-3 lines and the dashboard's live level readout offer a pre-built framework for position sizing and target-setting — always cross-check these levels against your own risk tolerance before acting on them.
Enable "Lock Signal" if you want to study a single active trade plan without it being replaced by a new signal appearing on a later bar.
All signals, dashboard values, and trade levels are calculated strictly on confirmed, closed bar data — nothing on this chart is repainted or recalculated retroactively into the past.
⚙️ Inputs and Settings
● Core Settings
Trend Length: EMA period used for the directional trend filter. Longer values smooth out the trend classification; shorter values make it more reactive.
Stats Lookback: rolling window for the illiquidity mean/standard deviation used to compute the stress z-score.
Stress Threshold (σ): the z-score level that must be exceeded for a bar to be classified as "high stress." Raising this makes exhaustion signals rarer but more extreme.
Dynamic Pivot Mode: when enabled, the regression channel's lookback length is derived from the distance to the most recent confirmed pivot instead of a fixed value.
Fixed Length: the regression lookback used when Dynamic Pivot Mode is off.
Pivot Left / Pivot Right: bars required on each side to confirm a swing high/low for Dynamic Pivot Mode.
Max Lookback Cap: hard ceiling on the regression window length, regardless of pivot distance, to control computation and keep the channel visually relevant.
Inner/Outer Deviation: standard-deviation multiples defining the two channel bands around the regression line.
● Filters
Filter Weak Correlations / Pearson R Threshold: controls the channel's neutral-color flagging when regression fit quality is below this threshold.
Use ADX Filter / ADX Threshold / ADX Length: optional directional-strength gate that must be satisfied for exhaustion signals to fire.
Adaptive Filter (None / Kalman Filter / LLAMA) and its Length: optional pre-smoothing applied to price before the trend/EMA calculation.
● Trade Tools
Lock Signal: freezes the current trade plan against being overwritten by new signals.
ATR SL Multiplier / ATR Length: controls stop-loss distance as a multiple of ATR.
TP1/TP2/TP3 (R Multiple): sets each take-profit target as a multiple of the initial risk (R).
● Visuals
Show Metrics Label: toggles the floating STATS label showing regression length, R, and z-score.
High/Low Volatility Width %: reference thresholds used to color-grade the dashboard's Channel Width meter.
Line Extension: controls whether regression channel lines extend left, right, both, or not at all.
● Dashboard
Dashboard Position: places the summary table in any of the four chart corners.
● Alerts
Six customizable action-tag fields (Seller/Buyer Exhaustion, TP1/TP2/TP3 Hit, SL Hit) let you rename the "action" field inside each alert's JSON payload to match your own automation or webhook naming scheme.
● Colors
Full palette control over bullish/bearish/neutral coloring, text and background colors, dashboard styling, and all trade-level line/fill colors.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Illiquidity as a Price-Impact Proxy
The stress engine's core calculation — true range divided by volume — is a simplified, bar-by-bar adaptation of the price-impact style illiquidity measures used in market microstructure research, most notably the Amihud illiquidity ratio, which relates absolute returns to trading volume as a proxy for how much a given amount of volume "costs" in terms of price movement. The underlying academic intuition is that in illiquid or stressed conditions, smaller volumes produce disproportionately larger price swings; the log transform compresses the resulting distribution to reduce the influence of extreme outlier bars before standardization.
● Z-Score Standardization and Statistical Anomaly Detection
Converting the raw illiquidity reading into a z-score against its own rolling mean and standard deviation is a direct application of statistical process control / anomaly-detection theory: rather than using a fixed, market-agnostic threshold, the script defines "abnormal" relative to each instrument's and timeframe's own recent behavior. This adaptive standardization is a common approach in quantitative finance for regime and outlier detection, since raw price-impact values are not comparable across instruments, timeframes, or volatility regimes without normalization.
● Ordinary Least Squares Regression and Goodness-of-Fit
The fair-value channel is constructed using closed-form ordinary least-squares (OLS) regression formulas computed directly from the summary statistics of the price series (sums of x, y, x², xy, y²) rather than an iterative solver — a standard, numerically efficient approach for simple linear regression. The accompanying Pearson correlation coefficient is the classical goodness-of-fit statistic for this regression: it quantifies how well a straight line explains the price action over the lookback window, providing a principled, quantitative basis (rather than visual judgment) for deciding whether "trend" is a statistically meaningful description of recent price behavior.
● Recursive State Estimation (Kalman Filtering)
The optional Kalman Filter smoothing option is a simplified, single-dimension implementation of the classical Kalman filter from control theory and signal processing — a recursive Bayesian estimator that maintains a running estimate of a system's true state (here, price) and continuously updates it by weighting new observations against the model's own uncertainty. This provides a theoretically grounded alternative to fixed-window moving averages for noise reduction.
● Trend-Following Directional Strength (ADX/DMI)
The optional ADX filter draws on Welles Wilder's Directional Movement System, a long-established technical framework for separating trend strength from trend direction. Using it as a gate rather than a signal generator reflects its intended academic role: ADX does not indicate direction, only the strength of whatever directional move is present, making it a natural confluence filter for suppressing signals during structurally weak, low-conviction price action.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Volume DNA: Heatmap [BigBeluga]🔵 OVERVIEW
The Volume DNA: Heatmap is an advanced technical indicator created by BigBeluga to decode institutional volume and price action dynamics using market microstructure principles. Traditional volume indicators often look at volume in isolation, failing to account for the efficiency or inefficiency of price movement. In order to provide a solution to this problem, this indicator combines rolling volume Z-scores with high-low price spread Z-scores, classifying every single bar into distinct institutional signatures—such as Absorption, Effort, Exhaustion, and Stagnation.
The indicator aims to visualize institutional accumulation, distribution, and exhaustion points directly on the chart. The core element of its calculation involves tracking volume and spread deviations against rolling means defined as:
volZ = (volume - volMean) / volStd
spreadZ = (spread - spreadMean) / spreadStd
where volMean and spreadMean are moving averages over lookback lengths volLengthInput and spreadLengthInput , and volStd and spreadStd represent standard deviations. Higher values of volThreshInput and spreadThreshInput allow the indicator to filter out random market noise and isolate major institutional footprints.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — DNA Engine & Classification Matrix
Absorption ( ABS ): Triggered by high volume and narrow spread via highVol and narrowSpread , signaling institutional limit orders absorbing market flow.
Effort Bullish / Bearish ( EFF+ / EFF- ): Triggered by high volume and wide spread via highVol and wideSpread , signaling aggressive buying or selling pressure driving trend continuation.
Exhaustion ( EXH ) & Stagnation ( STG ): Tracks low volume relative to price spreads to identify thin liquidity moves or equilibrium consolidation phases.
2 — Visual Enhancements & Ghost Glows
Ghost Glow Effect: Renders a semi-transparent wider candle behind classified DNA bars using plotcandle(showGlowBar ? bodymax + glowExpand : na, ...) to visually distinguish key events from normal price action.
Liquidity Clouds: Draws transparent box zones over Absorption bars extending cloudExtendInput bars to the right, marking where institutional limit orders may be resting.
3 — Real-Time Barcode Tape & Statistics Tables
DNA Barcode Tape: Displays a vertical heatmap table on the chart showing the DNA type and volume of the last tapeRowsInput bars as a real-time institutional activity tape.
Stats Panel Table: Summarizes current bar status, Volume Z-Scores via str.tostring(volZ, "#.##") , and Spread Z-Scores for instant quantitative feedback.
🔵 HOW TO USE
Apart from the basic visualization of institutional volume signatures, this tool can also act in alternative ways to support decision-making:
Spot Institutional Absorption: Look for ABS candles and their accompanying Liquidity Cloud zones to identify potential support or resistance levels where large market participants are absorbing flow.
Ride Trend Continuations via Effort: Monitor EFF+ and EFF- signal shapes (where size and color intensity scale with volume Z-scores) to confirm aggressive momentum driving price in the direction of the breakout.
Anticipate Reversals with Exhaustion: Watch for EXH signals where price moves on thin liquidity, signaling that a current trend may be running out of fuel and nearing a pullback or reversal.
🔵 NOTES
Why this implementation is unique:
It merges volume and price spread analytics using statistical Z-scores rather than arbitrary thresholds, offering an objective look at market efficiency.
The multi-table interface provides both historical sequencing (Barcode Tape) and real-time metric tracking without crowding the main price action view.
The script is fully optimized for Pine Script version 6, utilizing high-performance array management (`var array dnaHistory = array.new(tapeRowsInput, 0)`) for smooth execution across extensive historical data.
Note: The indicator relies on rolling standard deviation calculations; initial chart loads require enough bars to populate the lookback window accurately.
Indicator
Volume Nodes & Value Migration [MQLSoftware]Volume Nodes & Value Migration is an anchored volume profile engine that rebuilds the profile construction itself and then measures how price actually behaves around the profile's own structure: the Point of Control (POC), the Value Area (VAH / VAL), high-volume nodes (HVN) and low-volume nodes (LVN). Instead of a fixed number of rows filled by spreading each bar's volume uniformly, it derives the bin height from ATR at each window anchor, weights every bar's volume toward its close with a triangular kernel, recomputes the POC and Value Area on every confirmed bar so the migration of value is visible as a trail, arms the committed POC and high-volume nodes as trackable levels with an accepted / rejected state machine, and reports measured base rates for those events from the chart's own history.
This is a visual analytical tool intended for chart reading and volume-structure mapping. It does not execute trades and does not provide financial advice.
Key Features
Anchored volume profiles (Day / Week / Month / Quarter, or Auto per chart timeframe) with bin height derived from ATR at the window anchor, so the bin count follows the window's range-to-ATR ratio instead of a fixed row number
Close-weighted triangular distribution: each bar's volume is spread over its high-low span with the apex at the close, so the settled price carries more weight than the wick extremes
Developing POC step-trail and Value Area band for the active window, recomputed on every confirmed bar; committed windows keep their final POC and Value Area lines so history stays clean, and consecutive windows are chained with dotted POC-to-POC links labelled with the migration distance in ATR and percent
Committed POC and the strongest HVNs arm as horizontal levels and every return is tracked armed, then accepted (confirmed closes inside the node zone) or rejected (a probe through the node center that closes outside the zone)
Thin Zones (LVN) of each committed window shaded as context — the low-volume gaps price historically transits rather than builds business in
A statistics panel with the live window status, developing value, node states and measured base rates: how often price revisited the prior POC and how node retests resolved, each with its sample size
Four confirmed-bar alerts: node accepted, node rejected, profile committed, prior POC revisited
Core Concept
PulseWire already ships volume profile tools (Visible Range, Fixed Range, Session and periodic profiles), and most community profiles repeat the same construction: a fixed row count, each bar's volume spread uniformly across its high-low range, and a final static histogram left for the reader to interpret. This indicator rebuilds each of those stages and then closes the loop by measuring what price actually does at the profile's own levels. Five specific algorithmic elements:
1. Adaptive resolution. The bin height is derived from ATR at the window anchor (Coarse 0.50, Balanced 0.25, Fine 0.125 ATR per bin), so the number of bins follows the window's range-to-ATR ratio. A quiet range window and an expansion window get structurally comparable profiles on any symbol and timeframe, with no fixed row count and no per-market tuning. If a window's range outgrows the internal cap, bins merge 2:1 and the height doubles — resolution stays bounded by construction.
2. Close-weighted triangular distribution. Each bar's volume is distributed over its high-low span by a triangular kernel with its apex at the bar close: the weight a price bin receives is the integral of that kernel over the bin. For a bin inside a bar with low L, high H and close C, the weight is F(b) - F(a), where F(x) = (x - L)^2 / ((H - L)(C - L)) below the close and F(x) = 1 - (H - x)^2 / ((H - L)(H - C)) above it. The settled price therefore carries more weight than the wick extremes, which a uniform spread treats identically to the body.
3. Developing value area. POC, VAH and VAL are recomputed on every confirmed bar of the active window; the POC is drawn as a step trail and the Value Area as a developing band, so the reader sees value migrate through the window — POC ladders, value-area expansion and contraction — rather than only the final snapshot. Once a window commits, its trail retires and the final POC / VAH / VAL lines remain, so history stays readable. Committed windows are chained with dotted POC-to-POC links labelled with the migration distance in ATR units and percent.
4. Node acceptance state machine. When a window commits, its POC and the strongest HVNs (local peaks holding at least half of the POC volume) arm as horizontal levels. Every return is tracked on confirmed bars only: a retest is accepted after N consecutive confirmed closes inside the node zone (node center plus/minus half an ATR, never thinner than one bin), and rejected when a probe trades through the node center and closes outside the zone, or when a visit leaves the zone before N closes. A graze of the zone edge that neither trades the center nor closes inside resolves nothing. Resolutions are latched and marked on the chart; unresolved nodes expire when the next window commits.
5. Measured base rates. The panel reports observed frequencies from this chart's own loaded history: how often price traded back through the prior window's POC, how often POC retests resolved as accepted, and how often HVN retests were rejected — each with its sample size. Below a minimum sample the panel says "collecting" instead of quoting a percentage. Observed frequencies, not assumptions, and no claims attached to them.
Anatomy of the Display
The committed histogram is the final profile of each closed window, drawn from the window's start with bin brightness following volume share; the Value Area is shaded behind it. The POC row and line mark the single price bin that traded the most volume, labelled `POC · High Volume Node`; VAH and VAL are dashed lines labelled `VAH · Value Area High` and `VAL · Value Area Low`.
The developing trail is a step line of the active window's POC with the developing Value Area shaded behind it, both recomputed on every confirmed bar and existing only for the window still forming. The dotted migration link connects the final POCs of consecutive windows and carries a label with the shift in ATR units and percent.
Node lines extend right from each commit: the POC node in the bright POC color, HVNs in the profile color, each labelled by kind. When a retest resolves, the line recolors and a mark is printed: `✓ accepted` when price held the required confirmed closes inside the zone, `✕ rejected` when it was turned away. Expired (untested) nodes fade to dotted.
Thin Zones are faint dashed boxes labelled `LVN · Thin Zone` over the committed window's low-volume gaps. They carry no state machine and no alerts — context only.
The panel shows the window status (anchor period, bars, bins and bin height), the developing POC and Value Area, the POC migration versus the prior window, the state of each armed node, and the measured base rates with sample sizes.
Notes on Repainting
Volume accumulation, developing POC / VAH / VAL updates, node state transitions, base-rate counters and alerts run on confirmed bars only.
A committed profile is final: it is built exclusively from the confirmed bars of a closed window and is never recalculated afterwards.
Node resolutions are latched. An accepted or rejected mark cannot un-happen if price later trades back through the level.
The live developing histogram, POC trail and Value Area band of the current window redraw as the window grows — they are explicitly visual context for the forming profile, not signals.
The script requests no higher-timeframe data at all (no `request.security` calls); window anchors are detected with `timeframe.change` in the chart context.
Alerts are gated by confirmed-bar events and fire once per closed bar, never intra-bar.
Typical Analysis Workflow
A common analytical workflow may include:
Reading the committed profile for the prior window: where the POC sits, how wide the Value Area is, and where the Thin Zones are
Watching the developing POC trail of the active window — a POC laddering in one direction reads as value migrating, a static POC as value building in place
Comparing the migration link and the panel's MIGRATION row to see how far value shifted between windows in ATR terms
Waiting for price to return to an armed node and letting the state machine resolve the retest into accepted or rejected on confirmed bars
Consulting the measured base rates to see how often such revisits and retests actually occurred on this chart's history, then combining the read with other forms of analysis and risk management
Configuration
Anchor Period - the window each profile covers (Auto, Day, Week, Month, Quarter); Auto follows the chart timeframe and a pick at or below it escalates automatically.
Committed Profiles to Keep - how many closed windows keep their histogram drawn; statistics always use the full loaded history.
Profile Detail - target resolution (Coarse / Balanced / Fine), expressed as ATR per bin, never a bin count.
ATR Length - the ATR lookback used for bin height and migration distances.
Value Area % - the share of window volume the Value Area encloses.
Track POC / HVN as Nodes - arms committed levels for the accepted / rejected state machine.
Acceptance Closes - confirmed closes inside the node zone required for an accepted resolution.
HVN Nodes per Window - how many high-volume nodes arm besides the POC.
Thin Zones (LVN) - shades the committed window's low-volume gaps.
Resolved Marks to Keep - how many resolved node marks stay drawn on the chart; the measured statistics are unaffected.
Rendering - committed profiles, live developing profile, profile width, the active window's POC trail and Value Area band, migration links, glow, and the four palette colors.
Statistics Panel - visibility, corner and text size.
Markets and Timeframes
The indicator can be applied across multiple markets and timeframes:
Forex
Stocks and Indices
Commodities
Cryptocurrencies
Because the bin height, node zones and migration distances are all ATR-based, the visual behavior stays consistent across instruments and timeframes. On symbols that supply no volume data the script weights every bar equally (a time-at-price read) and the panel states so explicitly.
Alerts
Node accepted - price printed the required confirmed closes inside an armed node zone
Node rejected - an armed node turned the retest away (probe through the node center with a confirmed close outside the zone)
Profile committed - an anchor window closed; its profile is final and its nodes are armed
Prior POC revisited - price traded back through the previous window's Point of Control
All alerts evaluate on confirmed bars to avoid intra-bar oscillation. A dynamic alert message naming the exact event(s) is also provided. Indicator
High Volume Breakout Targets [AlgoAlpha]🟠 OVERVIEW
High Volume Breakout Targets identifies price zones formed by related pivot highs or pivot lows. These zones represent areas where price previously reacted around overlapping wick and candle-body levels.
The indicator then checks whether price closes through a zone with enough of the breakout candle extending beyond its boundary. Qualified breakouts can display directional labels, an entry level, and three targets based on the height of the broken zone.
Normalized volume candles are also shown inside recent active zones. This helps traders compare current volume with its recent average while watching price interact with a potential support or resistance area.
🟠 CONCEPTS
Pivot High Zone — A resistance area formed when a confirmed pivot-high wick falls within the body of a previous pivot-high candle. The zone spans the associated wick highs and body-top levels.
Pivot Low Zone — A support area formed when a confirmed pivot-low wick falls within the body of a previous pivot-low candle. The zone spans the associated wick lows and body-bottom levels.
Pivot Confirmation — A pivot requires the selected number of bars on both sides of the turning point. A higher Pivot Length identifies broader structures but confirms them later and less often.
Zone Maximum Age — The maximum number of bars during which two pivots can be associated and an active zone can continue extending. An expired zone remains visible but no longer produces a breakout.
Qualified Breakout — A breakout requires a confirmed close above a bearish zone or below a bullish zone. It must also place the selected percentage of the candle’s full range beyond the broken boundary.
Normalized Volume — Current volume is divided by its 20-bar average. The resulting ratio controls the size and transparency of the volume candle displayed inside an active zone.
Breakout Targets — The breakout close becomes the entry level. The broken zone’s height is divided into three equal steps to calculate TP1, TP2, and TP3 in the breakout direction.
Target Expiry — Each target setup remains active for a selected number of bars. When TP1 or TP2 is reached, the remaining unhit targets receive a new expiry period from the hit candle.
🟠 FEATURES
Pivot Zones — Displays bullish support zones and bearish resistance zones created from associated pivot structures.
Breakout Labels — Marks bullish and bearish closes that satisfy the selected outside-range requirement.
Three-Level Targets — Displays the breakout entry, a target area, and TP1, TP2, and TP3 levels derived from the broken zone’s height.
Zone Volume Display — Shows normalized volume candles inside the four most recently active zones.
Target Completion Marker — Prints a checkmark on the first candle whose wick reaches TP3.
🟠 HOW TO USE
Adjust Pivot Length to match the structure you trade. Use lower values for smaller and more frequent zones, or higher values for broader and less frequent zones.
Treat bullish zones as potential support and bearish zones as potential resistance while they continue extending.
Watch how price behaves inside a zone. Use the normalized volume candles to compare participation with the recent volume average.
Wait for a breakout label rather than treating every wick through a zone as a breakout. A label appears only after the candle closes beyond the boundary and meets the Minimum Breakout Range setting.
Use a higher Minimum Breakout Range to require more of the breakout candle to trade beyond the zone. Use a lower value to accept less decisive moves.
After a qualified breakout, use the entry line as the breakout reference and TP1, TP2, and TP3 as zone-based projection levels.
Check whether targets are reached before their expiry. TP1 and TP2 extend the active period for the remaining targets when reached.
Combine the zones and breakout signals with market structure, trend direction, liquidity, and risk controls. The indicator does not define a stop-loss or position size.
🟠 CONCLUSION
High Volume Breakout Targets combines pivot-based support and resistance zones, normalized volume context, qualified breakout signals, and zone-height target projections. It gives traders a structured way to assess price interaction with established zones and track the progression of confirmed breakouts. Indicator
Apex Edge - Wyckoff Exhaustion + Lag CorrelationApex Edge — Wyckoff Exhaustion + Lag Correlation
Two edges, one chart: internal exhaustion meets external confirmation.
Most indicators show you what price is doing. This one goes a layer deeper — it tells you when the move is running out of steam (Wyckoff effort-vs-result), and cross-checks that against what other markets are already telling you before that steam runs out (lag correlation). When both align, you're not just reading price — you're reading the market's exhaustion against a leading signal from a related asset.
The core idea
Wyckoff's Law of Effort vs. Result says: big volume should produce big price movement. When it doesn't — heavy effort, weak result — that's a sign smart money is absorbing supply or demand, and a reversal or pause is brewing. That's the internal signal.
Internal exhaustion alone can still give false signals, though. So this script adds an external check: does a correlated asset (the Dollar Index, VIX, 10-Year Yield, or whatever leads your instrument) show a lagged relationship that supports the same conclusion? When exhaustion and cross-asset correlation line up, the script flags it as genuine confluence.
What it detects
1. Exhaustion (Effort vs. Result)
Compares volume pressure to the price movement it produced:
Effort = current volume ÷ its moving average
Result = the bar's price range ÷ ATR
Exhaustion Ratio = effort ÷ result (boosted when result is near-zero, catching true "big volume, no movement" bars)
Ranked against its own history via percentile rank, so "exhausted" adapts to each instrument's own behaviour rather than a fixed number
2. Springs & Upthrusts
A Spring is a failed breakdown below the range low on a volume spike — often marking accumulation
An Upthrust is the mirror image at the top — often marking distribution
Both require volume to clear a multiple of its average, filtering out noise
3. Sign of Strength / Sign of Weakness (SOS/SOW)
Confirms a spring or upthrust is turning into an actual markup/markdown, not just a failed test that goes nowhere.
4. Accumulation/Distribution boxes
Visual range boxes drawn around the structure each signal is reacting to.
5. Cross-Asset Lag Correlation
For each candidate asset (auto-selected by asset class — DXY, VIX and the US 10Y yield for Forex; VIX, DXY and the 10Y/2Y for Indices; BTC dominance and total crypto cap for Crypto), the script tests your instrument's returns against the candidate's returns shifted back across a range of lags, and keeps whichever lag produced the strongest relationship. This is deliberately a leading-indicator search only — same-bar/concurrent correlation is intentionally excluded, so a candidate only earns a place in the table by predicting your instrument, not just moving alongside it.
Why the correlation dashboard
Correlations aren't static — DXY might lead EURUSD strongly one month and weakly the next. Rather than betting on one hardcoded relationship, the dashboard shows you live, per-candidate: symbol, lag (in bars), and correlation strength, color-coded so a genuinely strong lead stands out from noise.
How to trade it
Don't act on a Spring/Upthrust label alone. It marks a test, not a confirmed turn — treat it as "get interested," not "get in."
Wait for SOS/SOW. This is the market confirming the test held. A Spring followed by SOS is a materially stronger case than the Spring alone.
Use the Exhaustion tag as a warning, not a trigger. It flags disproportionate effort right now — good for tightening stops or hesitating before chasing a breakout, not for blind entries.
Treat the confluence triangle as the highest-conviction signal on the chart. It only fires when a Spring/Upthrust coincides with a genuinely leading cross-asset correlation above your threshold — internal structure and external confirmation agreeing at once.
Check the correlation table's Lag column before trusting a triangle. A low lag (1–3 bars) means a short reaction window. A higher lag gives more breathing room but is often a weaker, less reliable relationship.
No triangle doesn't mean no valid setup. A triangle only appears when the external confirmation clears your threshold — the underlying Wyckoff signal can still be valid without it.
The dashboard is optional
Want pure Wyckoff with none of the extras? Flip off "Show Correlation Dashboard" in settings and the table disappears entirely, leaving a clean chart of springs, upthrusts, SOS/SOW, exhaustion tags, and phase boxes. The cross-asset engine still runs quietly underneath for confluence triangles, but the HUD itself won't take up chart space unless you want it. Indicator
Multi-Confluence Signal Engine [MarkitTick]💡 A confluence-weighted signal engine that scores trend, momentum, volume, and market-structure conditions independently, then blends them into two composite 0–100 readings — a Bull Score and a Bear Score — to identify moments where multiple independent forces align in the same direction. Rather than reacting to one indicator crossing one line, this script asks four different questions about price behavior at once and only flags a signal when the weight of evidence clears a threshold you control.
✨ Originality and Utility
Most confluence or "confirmation" scripts on PulseWire work by checking a fixed list of conditions and requiring all of them, or a majority of them, to be true — a rigid AND/OR gate. This script instead builds four independent sub-scores (Trend, Momentum, Volume, Structure), each internally weighted by the relative importance of its own components, and then combines those four legs using user-defined percentage weights into a single continuous score. The practical difference is that a trader can decide, for example, that market structure matters twice as much as volume for their instrument, and the engine will respect that priority mathematically rather than treating every condition as equally binary.
The engine does not stop at "yes/no." Each leg produces a 0–100 magnitude, visible individually on the dashboard, so a trader can see not just that a signal fired but which of the four legs was doing the heavy lifting. A signal driven primarily by Structure (a break of a swing high with rising highs and lows) has a different character than one driven primarily by Volume (a spike on an up-close candle), even if both produce the same final score. This decomposition is what separates the tool from a simple scoring checklist: the score is diagnostic, not just directional.
On top of scoring, the script layers a full trade-management shell: ATR-based stop placement, three R:R-defined take-profit levels, a minimum-bar-gap cooldown to prevent signal clustering, a minimum score-gap requirement between the bull and bear reading to avoid firing on a coin-flip, an optional higher-timeframe trend filter, and an optional ATR-based volatility filter to suppress signals during dead, choppy conditions. This turns a scoring model into a usable end-to-end signal-and-management framework rather than a standalone oscillator.
🔬 Methodology and Concepts
• Trend Leg
The trend component is built from three EMAs — Fast, Slow, and Macro — calculated with a manual recursive EMA function rather than the built-in, giving explicit control over the smoothing seed. Four conditions are checked: whether the Fast EMA sits above (or below) the Slow EMA, whether price trades above (or below) the Macro EMA, and whether the Fast and Slow EMA slopes (measured as simple rate-of-change over a lookback window) are rising or falling. Each condition contributes a fixed point value toward either the bullish or bearish trend sub-score, weighted so that the Fast/Slow EMA relationship and the price-vs-Macro relationship carry the most influence, with slope direction acting as a secondary confirmation.
• Momentum Leg
Momentum blends RSI positioning relative to a configurable midline, MACD line-vs-signal crossover state, and MACD histogram direction (rising or falling versus the prior bar). Each of the three contributes roughly a third of the momentum sub-score, meaning momentum only reads as strongly bullish or bearish when oscillator position, trigger-line relationship, and histogram acceleration all agree.
• Volume Leg
Volume scoring looks for two things: whether current volume exceeds a multiple of its moving average (a "spike") occurring on a candle that closed in the corresponding direction, and whether volume is simply expanding bar-over-bar in that same direction. A volume spike on a directional candle carries the larger weight, since an expanding-but-unspiked volume reading is a weaker signal of conviction than an outright surge.
• Structure Leg
This is a swing-based market-structure read. Pivot highs and lows are detected with a symmetric lookback window (a bar must be the extreme point within a window of bars on both sides to qualify), and the script tracks the two most recent pivot highs and two most recent pivot lows. A bullish structure state requires both the pivot highs and pivot lows to be printing progressively higher (higher highs, higher lows); a bearish state requires the mirror condition. Separately, the script tracks a "break of structure" — price closing beyond the last confirmed pivot high or low in a direction that differs from the currently tracked structural bias — as an additional, heavier-weighted structural signal.
• Composite Scoring
The four leg scores are combined using a weighted average, where the weights (Trend / Momentum / Volume / Structure) are fully configurable and normalized against their own sum, so the four percentages do not need to add to exactly 100 to remain internally consistent. The result is a Bull Score and a Bear Score, each independently ranging from 0–100, which are then bucketed into Strong, Medium, Weak, or None tiers based on two adjustable thresholds.
• Signal Confirmation Logic
A raw long or short condition requires the relevant score to clear the Medium threshold, the gap between the bull and bear scores to exceed a minimum separation (preventing signals when both sides are nearly tied), an optional higher-timeframe trend agreement check, an optional minimum-volatility check using ATR as a percentage of price, and a minimum bar-count since the last signal in that direction. Signals are only confirmed on a closed bar (barstate.isconfirmed), so the plotted signal state does not repaint on the current, still-forming bar.
• Higher-Timeframe Filter
When enabled, the script requests the prior, fully closed value of price and a slow EMA from a higher timeframe using an offset lookback, which is the standard non-repainting method for pulling higher-timeframe context — it deliberately reads the last confirmed HTF bar rather than the in-progress one, so this filter does not introduce forward-looking bias.
🎨 Visual Guide
• Heatmap Candles
When enabled, candle bodies, wicks, and borders are recolored using the Bull/Bear/Neutral color inputs based on which composite score currently leads and whether it clears the Medium tier — teal-family for a leading bull score at or above Medium, red-family for a leading bear score at or above Medium, and gray for anything below that threshold on both sides.
• EMA Lines
Three plotted lines track the Fast EMA (blue by default), Slow EMA (orange by default), and Macro EMA (purple by default). Their relative position and slope are the visual counterpart of the Trend Leg's underlying math.
• Score Labels
When a long signal fires, a label appears below that bar showing the rounded Bull Score. When a short signal fires, a label appears above that bar showing the rounded Bear Score. These give an at-a-glance read of how strong the triggering signal was without opening the dashboard.
• Trade Levels
On a confirmed signal, the script draws a full set of horizontal levels: a Stop-Loss line (red, with an "✕ SL" label), an Entry line (blue dashed, "▶ Entry" label), and three Take-Profit lines at increasing R:R multiples (teal dashed, "◆ TP1", "✦ TP2", "◆ TP3" labels, with opacity increasing from TP1 to TP3). Shaded fills connect Entry-to-Stop (risk zone) and Entry-to-TP3 (reward zone) so the risk/reward geometry is visible at a glance. These levels extend forward automatically as new bars form and are replaced whenever a fresh signal fires, unless the Lock Signal input is enabled, in which case the current level set is frozen and new signals are suppressed from redrawing them.
• Dashboard
An optional on-chart table (position configurable to any corner) summarizes, per bar: the current lock state, the Bull Score and Bear Score as filled progress bars with a percentage, the Bull Tier and Bear Tier classification, each of the four leg scores as its own progress bar, the current volume ratio versus its moving average, and the current ATR as a percentage of price. The progress bars use a three-color scale (teal / amber / red) based on how far the underlying reading sits from its maximum, giving a quick visual read of leg strength without needing to interpret raw numbers.
📖 How to Use
A long condition is flagged only when the Bull Score clears the Medium threshold, leads the Bear Score by at least the configured minimum gap, and passes whichever optional filters (HTF trend, volatility) are enabled — the mirror logic applies to short conditions. The dashboard's per-leg bars are useful for judging signal quality beyond the headline score: a Strong-tier signal backed by all four legs reading high is generally a more complete confluence than one where the composite score is inflated mostly by a single leg such as Volume.
The Lock Signal input is intended for reviewing a specific historical signal's levels without them being overwritten as price continues to move — enable it to freeze the current Entry/SL/TP level set in place, and disable it to resume normal level updates on the next fresh signal.
Because trade levels are geometric projections from ATR and R:R inputs at the moment of signal, not a guarantee of price reaching those levels, they should be read as a structured reference for planning position size and exits rather than a forecast.
⚙️ Inputs and Settings
• Core Settings
Strong and Medium thresholds define the score tiers; the Minimum Bars Gap enforces a cooldown between signals in the same direction; the Minimum Score Gap requires clear separation between Bull and Bear scores before either can fire; the four Leg Weight inputs control how much each of Trend, Momentum, Volume, and Structure contributes to the composite score.
• Trend Leg
Fast, Slow, and Macro EMA lengths, plus the lookback window used to measure EMA slope direction.
• Momentum Leg
RSI length and midline, plus MACD fast/slow/signal lengths.
• Volume Leg
The moving-average length volume is compared against, and the multiplier that defines a "spike."
• Structure Leg
The symmetric lookback window used to confirm a swing pivot high or low.
• Filters
Optional higher-timeframe trend agreement filter (with selectable timeframe) and an optional ATR-based minimum-volatility filter, each of which can independently suppress signals that would otherwise fire.
• Trade Tools
ATR multiplier for stop distance, R:R multiples for the three take-profit levels, a toggle to show or hide the drawn levels, and the Lock Signal toggle to freeze the current level set.
• Visuals
Toggles for heatmap candle coloring, EMA line visibility, and score labels on signals.
• Dashboard
Toggle to show or hide the on-chart summary table and a dropdown to choose which corner it docks to.
• Alerts
Custom text strings for the long, short, close-long, and close-short alert JSON payloads, letting the alert output be adapted to match the syntax expected by an external webhook or automation endpoint.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
• Trend-Following Theory
The EMA-based trend leg draws on the long-standing empirical observation, formalized in academic momentum and trend-following literature, that asset prices exhibit serial correlation over intermediate horizons — trends, once established, have historically had a higher-than-random probability of persisting over the following period. Dual and triple moving-average crossover systems are among the earliest systematized expressions of this idea, and the slope-of-the-average component reflects the concept of trend "velocity" used in later technical and quantitative trend-strength research.
• Oscillator and Convergence-Divergence Theory
RSI, developed by J. Welles Wilder, is grounded in the idea that the ratio of average gains to average losses over a lookback window reflects the relative strength of buying versus selling pressure, oscillating within bounds that can indicate overbought/oversold conditions or, as used here, simple directional bias relative to a midline. MACD, developed by Gerald Appel, formalizes convergence and divergence between two exponential averages of differing sensitivity; the histogram (the difference between the MACD line and its own signal line) captures acceleration or deceleration in that relationship, which is the specific behavior this script isolates when checking histogram direction.
• Volume-Price Confirmation Theory
The volume leg reflects classical Dow Theory and later volume-price-analysis principles holding that price moves accompanied by above-average volume carry more conviction than moves on thin volume, since volume is treated as a proxy for the degree of market participation and consensus behind a price change.
• Market Structure and Price-Action Theory
The structure leg operationalizes the concept of market structure as used in classical Dow Theory (a sequence of higher highs and higher lows defining an uptrend, and the reverse for a downtrend) and its more recent "break of structure" formalization in price-action and smart-money-concept methodologies, where a close beyond a prior swing point is treated as evidence of a shift in the controlling side of the market.
• Weighted Multi-Factor Aggregation
Combining independently normalized sub-scores via user-adjustable weights mirrors the logic of multi-factor models in quantitative finance, where distinct signal families (trend, momentum, volume, structure/mean-reversion) are each scored on a common scale and then blended, rather than relying on any single factor in isolation — the underlying premise being that signal families with low correlation to one another produce more robust composite readings than any single family alone.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Smart Money Volume Absorption Signals I EonMetricsSmart Money Volume Absorption Signals
Volume Absorption marks a specific situation as a LONG or SHORT setup, with an entry, a stop and two targets. But instead of only printing an arrow and leaving you to reconstruct what happened, it tracks that setup through four stages and shows you exactly how far along it is — how many conditions are met, which one is still missing, how many bars are left before the setup is discarded, and what the same sequence has already done on the history your chart has loaded.
🔶 THE SITUATION IT TRACKS
A bar trades far more volume than its own recent normal, and then closes at the wrong end of its own range. Heavy participation that failed to pay the side that pushed: effort without result. The direction is set against the side that was absorbed — a heavy bar closing in the bottom third of its range is a short premise, one closing in the top third is a long premise.
One thing has to be said plainly, because it decides how much weight this premise deserves: total volume cannot tell you who traded. It cannot separate buyers from sellers. What this gate actually measures is heavy participation combined with a failure to hold the direction the bar travelled. The absorption reading is an interpretation of that pattern, not a measurement of order flow. If you want that distinction to matter less, the remaining three gates are where the work is done.
Absorption on its own happens constantly and most of it leads nowhere. So the tool requires three further confirmations, in order, before it marks anything.
🔶 THE FOUR GATES
G1 · ABSORPTION — bar volume lands in an extreme percentile of its own recent history while the bar closes in the far third of its own range. This gate fixes the direction and nothing later can change it. It also plants the invalidation anchor at that bar's extreme. Optionally the direction must agree with a slow trend filter.
G2 · REACTION — a following bar closes in the direction G1 set. The absorption produced something instead of merely stalling.
G3 · EXPANSION — a candle body in the top percentile of its own recent history, pointing the setup's way. That candle's OPEN becomes the origin level, and the origin level is where entry would be.
G4 · HOLD — price returns to the origin level and closes without violating it. Only now does the signal print, on bar close.
This is a retest model, not a breakout model, and the consequence is worth stating before you use it. A setup whose expansion runs away and never comes back to the origin level will never complete, no matter how far the move goes. You will see setups sit at 3/4 while price travels past the drawn targets, and then expire. That is the design working as intended — the entry is the retest — but if you want a tool that chases the move instead, this is not that tool.
The dashboard reads: which stage the setup is in, the direction, which gate is being waited on, the expiry countdown, the entry and stop levels, and the record of every completed setup on the loaded history.
🔶 ORIGINALITY
Five design decisions separate this from a stack of conditions with an AND between them.
Percentiles instead of ATR multiples. A fixed "1.5 × ATR" or "2 × average volume" threshold means something different in a trending market than in a compressed one, so it has to be re-tuned per symbol and per period. Every threshold here is a percentile rank against the instrument's own recent history — "top 30% of the last 200 bars" keeps its meaning when volatility changes, without tuning.
Gates do not add up to a score. Each gate is a separate class of evidence and none substitutes for another. Three expansion bars in a row are still 1/4, not 3/4. A weighted-sum model can be outvoted by one loud condition repeating itself; this one cannot. There is deliberately no confidence percentage anywhere in this script — with four binary gates in a fixed sequence, the only honest information is how many of them have filled, and dressing that up as a percentage would add precision that does not exist.
The setup dies on its own. Every tracked setup carries an invalidation anchor (a close beyond the absorption bar's extreme) and a bar countdown that resets at each gate advance. When either fires, the setup is discarded immediately — it does not linger until an opposite signal replaces it, and it does not quietly stay on the books.
One setup at a time. While a completed setup is still resolving toward its target or its stop, a new setup will not complete — it waits at 3/4 and may still fire later if the first one resolves in time, or expire if it does not. This exists so that what the dashboard counts is what a person following the tool could actually have taken, one position at a time, rather than an overlapping stack of positions nobody could hold.
It shows its own record. The last two rows of the dashboard walk every completed setup on the chart you are looking at, bar by bar, and count which level price reached first — Target 1 or the stop. The stop is checked before the target, so a bar that spans both counts against the setup, and the bar the signal prints on is not counted at all. That number is whatever it is. It is not a claim, it is not tuned to flatter, and it will read differently on every symbol and timeframe you load — which is exactly the point. You are meant to check it on YOUR instrument before deciding what the tool is worth to you, instead of taking anyone's word for it. Most signal tools do not show this. That is a choice they made, and this is a different one.
🔶 HOW IT IS CALCULATED
Both percentile ranks are ta.percentrank() over one configurable window — one on bar volume (G1), one on the absolute candle body (G3). The close position is (close − low) / (high − low), so it describes where the bar finished inside its own range rather than relative to any external level.
The optional trend filter is a plain exponential moving average of the closing price on the chart's own timeframe, used as a slow-trend proxy: long setups are only allowed above it, short setups only below it. Set its length to 0 to switch it off. There are no higher-timeframe data requests anywhere in this script.
Entry is the open of the expansion bar. The stop is the absorption bar's extreme, plus an optional buffer in ticks. Both targets are multiples of that entry-to-stop distance, so they scale with the setup instead of with a fixed price amount. Target 1 is the level the record row measures against; Target 2 is drawn for reference only.
Every gate is evaluated and latched on confirmed bars only. There is no lookahead and there are no forward-looking references. A filled gate is never un-filled retroactively; the live bar can only be rejected, never rewritten. A bar that would satisfy two gates at once advances the setup by exactly one step — each gate has to be paid for with its own bar.
The chart geometry is redrawn from scratch on the last bar rather than accumulated, so what you see on the chart is always the setup the dashboard is describing, and closed setups do not leave debris behind.
🔶 ALERTS
Six conditions: setup reached 2/4, setup reached 3/4, signal LONG, signal SHORT, setup expired, setup invalidated.
The staged alerts follow from the same idea as the meter: being told a setup is one gate away is more useful than only being told after it is over.
🔶 HOW TO USE
1. Read the record row before anything else. Load your instrument and your timeframe and see what it says there. If it does not convince you, that is the tool telling you honestly that it is not for that market.
2. Check the sample size in the same row. A run of ten or twenty setups is an anecdote. The row flags small samples for exactly this reason.
3. Watch the meter, not the arrows. Most of the information is in setups that reach 2/4 or 3/4 and then die — that tells you what the market is refusing to do.
4. The stop sits at the absorption bar's extreme by default, which is tight. On fast intraday charts try the Stop Buffer input and watch how the record row responds.
5. The trend filter changes the population of setups substantially. Check the record row with it on and with it off on your own market before deciding which you prefer.
6. Set the 3/4 alert if you want to be at the chart before a setup completes rather than after.
🔶 SETTINGS
Volume (percentile window) · Gate Thresholds (G1 volume percentile, G1 close position, G3 body percentile, trend filter length, setup TTL) · Trade Levels (draw toggle, stop buffer in ticks, two R-multiple targets) · Display (dashboard and position, current-signal marker, all-past-signals marker, colors).
🔶 HONEST LIMITATIONS
Volume alone cannot be attributed to buyers or sellers. This tool reads total bar volume against the bar's close position. It does not know who traded, and it is not order-flow data. Treat the absorption premise as a reading of effort against result, which is what it is.
The volume itself is only as good as the feed. On spot forex and CFDs the exchange reports TICK volume rather than real traded volume, so the percentile ranks describe activity rather than quantity. On symbols with no volume data at all the gates cannot fill, and the dashboard says so in its top-right corner.
The retest requirement will cost you moves. As described above, setups that never return to the origin level expire unfilled even when price travels well beyond the drawn targets. This is structural, not a bug, and on strongly trending stretches it happens often.
Percentiles are relative to their window. After an abrupt change of volatility regime the ranks need a few dozen bars to catch up, and during that stretch the thresholds are still measuring the old regime.
The record row is an honest count, not a backtest. It assumes a fill at the exact entry price and it ignores fees, spread and slippage — all of which work against you in reality, and all of which matter a great deal when the outcome is close to even. A record that looks positive before costs can be negative after them. It also covers only the setups on the history your chart has loaded, which on intraday timeframes is a small sample.
Results vary far more between markets than between settings. The same script on the same timeframe can produce a very different record on two different symbols, and there is no timeframe this tool is generally "best" on. Any suggestion otherwise would be an invention. Check your own market.
This tool describes a sequence of conditions in price and volume. It does not forecast anything, it makes no claim about how often the sequence resolves favourably, and the drawn levels are the geometry of the setup, not a recommendation. It is published for analysis and education, it is not financial advice, and past behaviour of a pattern does not guarantee its future behaviour. Check the record on your own market, manage your own risk, and decide for yourself.
Part of the EonMetrics toolset.
Indicator
SNIPERS CANDLESSNIPERS CANDLES
SNIPERS CANDLES is an enhanced PVSRA volume analysis indicator that classifies candles according to relative trading activity while introducing a configurable Volume Participation Baseline for additional market participation analysis.
The indicator combines traditional PVSRA candle classification with an independent participation threshold, allowing traders to compare current trading activity against both recent market behaviour and configurable average volume levels within a single visual tool.
How the Indicator Works
The indicator analyses volume using the PVSRA methodology and classifies each candle into one of three participation levels.
Normal Volume
Represents standard market participation.
150% Volume
Highlights candles where volume exceeds approximately 150% of the recent average, indicating increasing market participation.
200% Volume (Vector Candle)
Highlights candles where volume exceeds approximately 200% of the recent average or produces exceptional volume relative to recent price range activity, identifying significant market participation.
Bullish and bearish candles are colour coded independently to preserve directional context.
Volume Participation Baseline
In addition to standard PVSRA candle classification, SNIPERS CANDLES includes a configurable Volume Participation Baseline.
The Participation Baseline calculates an average volume over a user-defined lookback period and applies an optional multiplier to create a dynamic participation threshold.
This allows traders to compare current trading activity against configurable average participation levels rather than relying solely on fixed PVSRA classifications.
The Participation Baseline is designed to complement the original PVSRA methodology by providing additional context when market participation transitions between below-average and above-average volume.
Instrument Override
For cryptocurrency markets, the indicator can automatically retrieve volume data from the equivalent Binance Perpetual Futures contract when available.
Where an equivalent perpetual contract is unavailable, the indicator automatically falls back to the chart's native volume data.
A manual symbol override is also included for users who wish to specify an alternative volume source.
Features
Traditional PVSRA candle classification
150% and 200% vector candle detection
Independent bullish and bearish candle colouring
Configurable Volume Participation Baseline
Adjustable Participation Baseline lookback period
Configurable Participation Baseline multiplier
Customisable Participation Baseline colour and width
Automatic Binance Perpetual Futures volume support
Manual volume source override
Main-chart candle colouring
Colour-coded volume histogram
Configurable alerts
Alert Conditions
The indicator includes alert conditions for:
Any Vector Candle
Any 200% Volume Peak Vector Candle
Any 150% Volume Rising Vector Candle
Bullish 200% Vector Candle
Bearish 200% Vector Candle
Bullish 150% Vector Candle
Bearish 150% Vector Candle
Volume Crossing the Participation Baseline
Volume Crossing Above the Participation Baseline
Volume Crossing Below the Participation Baseline
Participation Baseline alerts are designed to identify changes in market participation as trading activity transitions above or below the configured threshold.
Intended Use
SNIPERS CANDLES is designed to provide visual context for analysing:
Relative market participation
High-volume trading activity
Volume confirmation
Market momentum
Trend participation
Price action
Multi-timeframe analysis
The indicator is intended as an analytical tool and does not generate automatic buy or sell signals. It is designed to complement the trader's own market analysis, price action and risk management process.
Markets
The indicator can be applied to all PulseWire-supported markets, including:
Forex
Indices
Commodities
Cryptocurrencies
Equities
When enabled, cryptocurrency markets can automatically utilise Binance Perpetual Futures volume where available.
Disclaimer
This open-source indicator is provided free of charge for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Users remain responsible for their own analysis, trading decisions and risk management.
Created by Market Sniper HQ
Trade Like a Sniper, Not Like the Crowd.
Indicator
OBV Signal Confluence [MarkitTick]💡 This advanced technical utility provides a comprehensive evaluation of market momentum by synthesizing cumulative volume flow with structural trend dynamics and dynamic support levels. Designed for rigorous market analysis, it evaluates directional shifts by demanding strict confluence across multiple dimensions, including momentum divergence, historical trend validation, and volatility expansion. Rather than relying on isolated price action, this tool builds a holistic profile of market participation, delivering a complete framework for structured trade management and robust signal verification.
● ✨ Originality and Utility
Most traditional momentum oscillators evaluate price velocity in a vacuum, completely ignoring the underlying participation required to sustain a trend. This utility stands apart by merging volume-weighted momentum with strict filtering mechanisms to evaluate the true strength of a market move. By integrating a multi-tiered filtration system, it effectively isolates high-probability directional shifts while filtering out low-participation market noise.
The utility is entirely self-contained, projecting dynamic trade management levels directly onto the chart when momentum alignment is confirmed. It seamlessly bridges the gap between raw data analysis and actionable trade management. By establishing precise entry, invalidation, and multiple target zones based on current market volatility, it transforms raw volume data into a structured operational blueprint.
Furthermore, the inclusion of a comprehensive heads-up display ensures that all underlying metrics—from momentum strength to historical trend states—are continuously aggregated and visually accessible, allowing for rapid contextual assessment without cluttering the primary analytical workspace.
● 🔬 Methodology and Concepts
This tool operates on a sophisticated, multi-layered evaluative engine. To protect the integrity of the underlying architecture, the methodology is described conceptually:
Cumulative Volume Flow: The primary engine evaluates the continuous flow of market volume, categorizing buying and selling pressure based on specific price action thresholds. This cumulative data is then smoothed against a dynamic, user-selectable baseline to establish the core momentum trajectory.
Higher Timeframe Confluence: To prevent acting on insignificant intraday fluctuations, the engine references the structural momentum of a higher timeframe. Signals are strictly gated unless the localized momentum aligns with this broader, macro-level directional bias.
Momentum Divergence Detection: The utility continuously scans for structural discrepancies between price pivot extremes and the corresponding extremes in the volume flow. When price establishes new structural boundaries without validating volume participation, the system flags these areas as potential exhaustion or reversal zones.
Volatility and Participation Filters: Trend strength and volume ratios are continuously measured against established historical averages. The engine requires both a minimum threshold of directional strength and a surge in relative volume participation to validate any momentum shift, ensuring that structural breaks are supported by actual market activity.
Dynamic Risk Profiling: Upon signal confirmation, the tool automatically calculates an invalidation level utilizing a multiplier of the underlying asset's average true volatility. Profit targets are then extrapolated from this established risk parameter, ensuring that every projected setup adheres to strict, predefined risk-to-reward ratios.
● 🎨 Visual Guide
The visual interface is designed to provide immediate contextual awareness while maintaining a clean charting environment:
Momentum Histogram: Plotted as columns, this visualizes the delta between the cumulative volume flow and its dynamic baseline. Color intensity shifts dynamically to reflect both the direction and the immediate acceleration or deceleration of the momentum.
Heat Candles: When enabled, this feature overrides the native chart candles, painting the price action to match the underlying volume momentum state, allowing for rapid visual confirmation of the current trend environment.
Divergence Markers: Distinct upward and downward triangular shapes are plotted directly on the chart to indicate areas where structural price action has diverged from the supporting volume flow.
Trade Management Levels: Upon a confirmed momentum shift, dashed horizontal lines appear to project the Entry, Stop Loss (SL), and three tiered Take Profit (TP) zones.
Risk/Reward Shading: Shaded background zones visually map the risk parameters, contrasting the invalidation zone against the projected reward territory to provide an immediate assessment of the trade's structural viability.
Heads-Up Dashboard: A customizable table anchored to the chart corner. It provides a real-time aggregate readout of all critical internal metrics, including current trend state, raw momentum values, divergence status, participation ratios, and active trade progression percentages.
● 📖 How to Use
Establish Context: Monitor the Heads-Up Dashboard to evaluate the current macro trend state and participation ratios. Wait for the dashboard to indicate alignment between directional momentum, volume participation, and trend strength.
Identify Confluence: Look for structural momentum shifts indicated by the histogram crossing its zero-line, strictly validated by the alignment of the Heat Candles. Divergence markers appearing prior to these shifts serve as early warning signs of an impending structural rotation.
Signal Confirmation: Wait for the current bar to close. The utility is engineered to execute calculations on confirmed data to ensure structural stability. A confirmed signal will instantly plot the dynamic trade management levels.
Execute and Manage: Utilize the projected Entry, Stop Loss, and Take Profit levels to structure your position. The Risk/Reward shading and the progress tracker on the dashboard will provide continuous feedback as the price action develops toward the established targets.
Alert Integration: For automated tracking, configure the built-in alert conditions which generate structured data payloads for long entries, short entries, position closures, and individual target strikes.
● ⚙️ Inputs and Settings
Core: Define the source data for momentum calculations and select the preferred baseline calculation method and lookback length. This also includes the pivot length for divergence detection.
Filters: Activate and calibrate the higher timeframe alignment constraints. Set the specific lengths and minimum thresholds for directional strength and volume participation multipliers to strictly define what constitutes a valid breakout.
Trade: Toggle the visibility of the dynamic management levels. Adjust the volatility lookback, the invalidation multiplier, and customize the exact risk-to-reward ratios for all three projected profit targets.
Vis: Control the visual clutter by toggling the histogram, zero line, divergence signals, and heat candles on or off according to personal preference.
Dash: Enable or disable the Heads-Up Dashboard and anchor it to any of the four chart corners for optimal workspace organization.
Alerts: Define custom action strings and dynamic payload identifiers to integrate seamlessly with external execution engines or tracking software.
Colors: Fully customize the aesthetic profile of the indicator. Modify the specific hex values and opacities for the histogram states, trade levels, risk shading, divergence markers, and the internal dashboard elements to match your charting theme.
● 🔍 Deconstruction of the Underlying Scientific and Academic Framework
The foundation of this utility is deeply rooted in the principles of Auction Market Theory and the Law of Effort versus Result. In any financial market, price discovery is driven by the continuous auction process between buyers and sellers. However, price alone is a one-dimensional metric. Volume represents the actual energy or "effort" expended to move that price. By systematically analyzing the relationship between price displacement and volume flow, this tool effectively maps the true liquidity absorption within the market.
When a market establishes a new structural price extreme, fundamental market mechanics dictate that this move must be supported by an equivalent expansion in volume participation. If the aggregate volume flow begins to decelerate while price continues to advance, a structural divergence is formed. This indicates a severe lack of liquidity supporting the current auction, highlighting an area where the prevailing trend is highly vulnerable to mean reversion or a complete structural failure.
Furthermore, the integration of volatility-based risk profiling adheres to established quantitative risk management principles. Market volatility is not static; it constantly expands and contracts in cyclical phases. By anchoring invalidation levels to a dynamic multiplier of average true volatility, the utility ensures that risk parameters adapt to the current market environment. This prevents premature invalidation during periods of high liquidity expansion while maintaining tight structural constraints during periods of market consolidation.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Break & Volume: breakout bars with volume contextWHAT IT DOES
The simplest useful question, answered on every bar: did price just break the recent high or low, and did volume show up for it? Break bars are painted green or red, a small label prints the volume ratio versus its average, and the broken level stays on the chart as a dashed line until price revisits it.
HOW IT WORKS
- A break = close beyond the highest high or lowest low of the previous N bars (default 5).
- Volume context = current volume against a 20-bar average; 1.5x and up is the spike zone.
- Breaks confirm on bar close by default — no repaint, no intrabar flicker.
- Broken levels persist as reference lines and clear themselves once revisited, so the chart self-cleans.
HOW TO USE IT
Any symbol, any timeframe. A break on 2x volume and a break on 0.6x volume are different animals; this makes the difference visible at a glance. Pairs naturally with structure tools or the pattern colorer.
WHAT IT CAN'T DO
It measures the break, not the follow-through. Low-volume breaks fail often — that is precisely what the label is there to warn you about.
SETTINGS
Lookback bars, volume average length, level lines, volume labels, label size, confirm-on-close.
Open source. Free. One glance, two facts, no clutter. Indicator
Elaris Market Energy [Professional]Elaris Market Energy
Overview
Elaris Market Energy is a multi-factor oscillator designed to evaluate the strength, direction, participation, and sustainability of market movement.
Rather than relying on a single momentum calculation, the indicator combines several independent market characteristics into one normalized energy score. The goal is to help traders distinguish between weak price movement, developing participation, strong directional expansion, compression, and potential exhaustion.
The Market Energy score is displayed in a separate oscillator panel and generally ranges from -100 to +100.
* Positive values represent bullish market energy.
* Negative values represent bearish market energy.
* Values near zero represent neutral conditions, weak participation, or market compression.
This indicator is intended to support market analysis and confirmation. It is not presented as a complete trading system and does not guarantee future price movement.
---
Core Market Energy Model
The final Market Energy score is calculated from six configurable components.
Price Impulse
Measures directional price displacement relative to current market volatility.
This helps distinguish meaningful movement from ordinary price fluctuations.
Candle Conviction
Evaluates the structure of the current candle using:
* Candle body size
* Closing position inside the candle range
* Upper and lower wick balance
* Bullish or bearish candle direction
A strong directional candle generally contributes more energy than an indecisive candle.
Volume Participation
Compares current volume with its recent average and evaluates whether market participation supports the current directional move.
On symbols where volume data is unavailable or limited, the volume component may provide less information.
Range Expansion
Measures whether the current true range is expanding relative to recent market activity.
Range expansion can help identify periods where volatility and directional participation are increasing together.
Trend Alignment
Evaluates:
* Price position relative to an internal trend average
* Direction and slope of the trend average
* Alignment between current movement and broader market direction
This component helps reduce the influence of momentum that is moving against the prevailing trend structure.
Momentum Efficiency
Combines directional momentum with movement efficiency.
Movement efficiency compares the net price displacement with the total distance traveled. Cleaner directional movement generally produces a stronger reading than unstable or highly overlapping price action.
---
Directional Movement Confirmation
The indicator also uses Directional Movement Index information.
The relationship between positive and negative directional movement helps confirm whether bullish or bearish pressure is dominant.
ADX is used as a supporting measurement of trend strength. It does not independently determine the Market Energy score and is applied as a controlled confirmation component.
---
Market Regimes
The indicator classifies market conditions into several practical regimes.
Compression
Market Energy remains close to zero, suggesting limited directional participation or reduced momentum.
Compression can occur during consolidation, low volatility, or periods of market indecision.
Bullish or Bearish Energy
Directional participation is developing, but the movement has not yet reached the strong-energy threshold.
Strong Bullish or Bearish Energy
Multiple components are aligned and directional participation has increased.
These conditions may support continuation analysis when confirmed by price structure.
Extreme Energy
The oscillator has reached an unusually strong directional reading.
Extreme energy can represent:
* Strong continuation
* Rapid volatility expansion
* Late-stage momentum
* A condition that may eventually transition into exhaustion
An extreme reading should not automatically be interpreted as a reversal signal.
Fading Energy
Directional energy remains elevated but is beginning to weaken.
Fading energy may indicate reduced participation, consolidation, or potential exhaustion. Price confirmation remains important.
---
Signal Types
Bullish Energy Entry
A bullish signal may appear when:
* Market Energy crosses above the selected entry threshold
* Energy is above its signal line
* Energy acceleration is positive
* Enabled trend and directional filters are satisfied
* Optional volume and candle-quality filters are satisfied
Bearish Energy Entry
A bearish signal uses the opposite conditions:
* Market Energy crosses below the negative entry threshold
* Energy is below its signal line
* Energy acceleration is negative
* Enabled bearish filters are satisfied
Compression Release
Compression-release markers identify a transition from low-energy conditions into directional expansion.
These signals are intended to highlight developing volatility and participation after a compressed market phase.
Energy Exhaustion
Exhaustion markers identify situations where:
* Energy recently reached an extreme level
* The energy score begins to decline
* Energy acceleration turns against the previous direction
* Price begins showing an opposing reaction
Exhaustion markers are warnings of weakening momentum. They do not confirm a complete trend reversal on their own.
---
Visual Elements
Energy Histogram
The histogram displays both direction and intensity.
* Bullish columns represent positive energy.
* Bearish columns represent negative energy.
* Stronger opacity represents increasing directional intensity.
* Faded columns indicate weakening energy.
Energy Line
The main line shows the smoothed composite Market Energy score.
Signal Line
The signal line provides a slower reference for identifying changes in short-term energy direction.
Energy Cloud
The cloud between the Energy line and Signal line provides a quick visual representation of bullish or bearish energy alignment.
Regime Background
Optional background shading highlights:
* Strong bullish conditions
* Strong bearish conditions
* Market compression
Dashboard
The optional dashboard summarizes:
* Current Market Energy score
* Current market regime
* Energy acceleration
* Relative volume
* ADX
* Price impulse
* Candle conviction
* Volume pressure
* Range expansion
* Trend alignment
* Momentum efficiency
* Signal confirmation mode
The dashboard is intended to provide a quick overview without requiring the trader to interpret each internal calculation separately.
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Calculation Profiles
Fast
Uses shorter internal calculation lengths.
This profile reacts more quickly but may also produce more frequent changes and additional noise.
It may be suitable for lower-timeframe analysis when combined with strict filters.
Balanced
Provides a middle ground between responsiveness and stability.
This is the default profile and is suitable as a general starting point.
Conservative
Uses longer calculation lengths.
This profile produces slower and generally more stable readings, which may be useful on higher timeframes or when fewer signals are preferred.
---
Suggested Usage
The indicator can be used for several types of market analysis.
Trend Confirmation
Bullish price structure combined with positive and increasing Market Energy may support bullish continuation analysis.
Bearish price structure combined with negative and decreasing Market Energy may support bearish continuation analysis.
Breakout Confirmation
A breakout accompanied by:
* Range expansion
* Increased relative volume
* Strong impulse
* Rising Market Energy
may have greater participation than a breakout occurring during weak or compressed energy.
Pullback Analysis
During a broader trend, temporary energy weakness followed by renewed directional acceleration may help identify continuation conditions.
Compression Monitoring
Low absolute Market Energy can help identify markets that are consolidating or losing directional participation.
A later compression release may highlight the start of renewed expansion.
Exhaustion Monitoring
Extreme energy followed by weakening acceleration may help traders identify when a mature move is losing participation.
This should be combined with price structure, support and resistance, liquidity levels, or other confirmation methods.
---
Recommended Starting Settings
For lower timeframes, traders may consider:
* Fast or Balanced profile
* Higher entry threshold
* Volume filter enabled
* Candle-quality filter enabled
* Candle-close confirmation enabled
For medium timeframes, the Balanced profile and default settings provide a practical starting point.
For higher timeframes, the Conservative profile may provide smoother regime identification and fewer short-term fluctuations.
Settings should be adjusted based on the symbol, timeframe, liquidity, and trading approach.
---
Alerts
The script includes alert conditions for:
* Bullish Energy Entry
* Bearish Energy Entry
* Bullish Compression Release
* Bearish Compression Release
* Bullish Energy Exhaustion
* Bearish Energy Exhaustion
* Strong Bullish Regime
* Strong Bearish Regime
* Energy Compression
For stable alerts, enabling candle-close confirmation and selecting “Once Per Bar Close” when creating the PulseWire alert is recommended.
---
Repainting Information
Elaris Market Energy does not use future data, lookahead logic, or future-confirmed pivot calculations.
The indicator does not repaint historical closed-bar signals when candle-close confirmation is enabled.
The live Market Energy value may change while the current candle is still forming because price, volume, candle range, and volatility are still changing.
When “Confirm Signals On Candle Close” is enabled, signals are only confirmed after the candle closes.
When this setting is disabled, signals may appear during an open candle and may disappear before that candle closes.
---
Important Notes
This indicator is a technical analysis tool and should not be interpreted as financial advice.
Market Energy measures current and historical market conditions. It does not predict future results with certainty.
Signal performance can vary significantly across:
* Symbols
* Asset classes
* Timeframes
* Volatility conditions
* Liquidity environments
* Trending and ranging markets
Traders should use appropriate risk management and independently evaluate all trading decisions.
Indicator
RVOL Candles | FALCON AIFalcon RVOL Candles — an educational volume study.
Most volume tools compare the current bar to a rolling average, which mixes the
busy market open with the quiet lunch hour and gives a distorted read. This study
does it differently: it compares each candle to the average volume at that SAME
time of day. The 9:30 bar is measured against past 9:30 bars, the 12:00 bar against
past 12:00 bars — like-for-like. That shows when a move is backed by genuine,
time-adjusted participation versus a low-liquidity drift.
How to read it:
• Extreme — volume ≥ 2× the time-of-day average (unusually heavy)
• High — volume ≥ 1.5×
• Normal — in between
• Low — volume ≤ 0.7× (quiet)
An optional top-right readout shows the live RVOL multiple and its tier.
Settings:
• Thresholds for each tier (multiples of the time-of-day average)
• Fully customizable colors
• Toggle the readout on/off
Notes:
• Works best on intraday timeframes, since it groups volume by time of day.
• Averages build as the chart loads more bars of each time slot — give it history
for a stable read.
• Chart study only: it does not place trades, does not backtest, and has no entry,
stop, target, or position-sizing logic. Your entry, your risk. Not financial advice. Indicator
Volume Flow MatrixVolume Flow Matrix is a relative volume histogram that helps identify how strong or weak current market participation is compared to recent volume activity.
The indicator measures current volume against a fixed 300-bar volume baseline. Instead of showing raw volume only, it converts volume into a relative reading. This makes it easier to see whether the current candle is trading below average volume, around normal activity, with increased participation, or at an unusually high volume level.
On historical candles, the calculation uses completed candle volume. On the live candle, the indicator uses realtime volume projection. This means the current candle’s volume is estimated based on how much time has passed in the candle. As a result, the histogram can react during the candle instead of only after the candle closes.
The histogram is divided into five volume conditions:
Dry Volume shows candles with weak participation. These bars appear when relative volume is below 0.75. Dry volume can be useful for spotting quiet market phases, low-interest candles, or areas where price is moving without strong volume support.
Default Volume represents normal volume conditions. These candles do not meet the requirements for dry, directional, or extreme volume. Default volume helps separate ordinary market activity from more important volume events.
Bull Volume appears when relative volume is elevated and the candle also shows bullish pressure. For a candle to qualify as Bull Volume, relative volume must be at least 1.55, the candle must close above its open, and the close must be positioned in the upper part of the candle range. This can help highlight candles where stronger participation supports upward pressure.
Bear Volume appears when relative volume is elevated and the candle shows bearish pressure. For a candle to qualify as Bear Volume, relative volume must be at least 1.55, the candle must close below its open, and the close must be positioned in the lower part of the candle range. This can help highlight candles where stronger participation supports downward pressure.
Extreme Volume marks unusually high relative volume at or above 2.30. These candles show that volume is significantly above the recent baseline. Extreme Volume does not automatically mean bullish or bearish continuation. It should be read together with price location, candle structure, support and resistance, liquidity zones, or the broader market context.
Each candle is assigned to only one volume condition. The script checks the conditions in a fixed order so the histogram remains clean and does not stack multiple volume types on the same bar.
How to use it:
Use Dry Volume to identify low-participation areas where price movement may be less reliable.
Use Bull Volume and Bear Volume to confirm whether directional candles are supported by stronger participation.
Use Extreme Volume to mark important high-activity candles that may appear near breakouts, liquidity grabs, absorption areas, reversals, or strong continuation moves.
Use Default Volume as the neutral background state between low-volume and high-volume conditions.
Volume Flow Matrix does not provide trade entries or exits by itself. It is designed to support analysis by making volume behavior easier to read. The strongest use case is combining it with price action, market structure, key levels, liquidity, trend context, or any existing trading plan.
Indicator
Volume-Trend Order Block Engine [BigBeluga]Volume-Trend Order Block Engine is a powerful trading tool for PulseWire. It combines trend direction with volume-weighted Order Blocks (OB) to show you exactly where institutional buyers and sellers are active in real time.
Instead of drawing basic support and resistance lines, this tool filters out market noise using a built-in **Supertrend Engine**. This ensures you only see order blocks that align with the main market trend. It also splits each block based on buy/sell volume, showing you who is in control.
🔵 MAIN FEATURES
1. Supertrend Filter
Trend Direction Filter: Tracks the main market trend and filters out choppy sideways movements using the Volatility SMA Length and Multiplier settings.
Trend Cloud Background: Colors the background ( Show Trend Cloud Fill ) to show you instantly if the market is in an Uptrend or Downtrend.
2. Smart Order Blocks & Volume Split
Trend-Locked Blocks: Finds key swing highs and lows based on your Pivot Strength . In an uptrend, it only looks for buy blocks; in a downtrend, it only looks for sell blocks.
No Overlapping Zones: If a new order block forms over an old one, the tool automatically locks the old zone and starts a clean new one to keep your chart tidy.
Volume Split Line ( Split Price ): Breaks down each order block into buy and sell percentages ( Buy % vs. Sell % ). This shows you the exact strength of the buyers and sellers inside that zone.
3. Retest Alerts & Auto-Clean Engine
Retest Signals: Places a cross marker ( ✚ ) on your chart the moment price enters and tests an active order block.
Volume Thresholds: Filters out weak moves. You can set a minimum volume requirement ( Min Buy % / Min Sell % ) so you only get signals when big institutional money is involved.
Auto-Delete Broken Zones: When enabled ( Delete OB on Complete Break ), the tool instantly deletes broken order blocks once the price completely passes through them. This keeps your chart clean.
🔵 HOW TO TRADE WITH IT
Trend Continuation Entries: When the trend is bullish, wait for the price to pull back into a Bullish OB. If it hits the zone and bounces back up with strong volume, a "Retest" cross will appear, signaling a good entry point.
Precise Entries & Tighter Stops: Use the internal volume split line to find better entries. Entering closer to the bottom of a buy zone allows you to use a much smaller stop loss.
Automatic Risk Invalidation: If you are in a long trade and the price breaks completely below the buy zone, the tool deletes that block. This is your visual sign that the trade setup is no longer valid.
🔵 SETTINGS & CONFIGURATION
Trend & Pivot Settings: Adjust lookbacks and volume filters to fit any market, including Crypto, Forex, or Indices.
Style & Clean-Up: Turn the trend background cloud on/off, customize retest markers, and enable auto-deletion to keep your workspace clear.
Color Themes: Fully customize colors for uptrends, downtrends, text, and signals to match your favorite chart theme.
Upgrade your charts from simple lines to a volume-driven, trend-filtered map with the Volume-Trend Order Block Engine . Indicator
Market Weariness Spectrum Indicator [MarkitTick]💡 This advanced technical tool is engineered to evaluate the exhaustion of price trends by synthesizing volume, volatility, and price action into a single, comprehensive oscillator. By tracking how much effort the market is expending relative to the actual ground gained by price, this framework helps analysts identify periods of trend fatigue and potential reversals. Rather than relying solely on traditional price-based overbought or oversold levels, it looks deeper into market friction, signaling when a trend is mathematically likely to run out of steam and when a structural recovery is probable.
✨ Originality and Utility
Traditional momentum oscillators and standard volume metrics often operate in isolated silos, which can lead to false signals during strong, prolonged trends. This script bridges that gap by creating a multi-dimensional composite weariness score.
It detects structural exhaustion where high trading volume results in minimal price movement, indicating heavy absorption.
It measures the frequency of directional hesitation within recent price action.
It tracks effort density to provide a dynamic view of trend fatigue that single-metric indicators cannot achieve.
This multifaceted approach reduces false positives and provides a highly nuanced understanding of market mechanics during extreme conditions.
🔬 Methodology and Concepts
The core logic relies on the continuous calculation of three distinct dimensions, which are dynamically weighted and smoothed into the final composite oscillator.
● Dimension 1: Phantom Volume
This component measures the volume expended per unit of price movement.
It calculates the average volume divided by the average absolute price move over a specified lookback window.
Elevated values indicate that massive trading volume is generating very little forward progress, a classic sign of market friction.
The result is strictly normalized on a scale from 0 to 100 based on historical highest and lowest bounds over a derived lookback.
● Dimension 2: Directional Hesitation
This metric tracks the frequency of indecision in the market structure.
It evaluates the size of each candle's real body relative to the underlying Average True Range (ATR).
If a candle's body is less than a specific threshold of the ATR, it is flagged mathematically as a hesitation period.
The algorithm scores the percentage of these hesitation candles over the lookback window, normalizing the output from 0 to 100.
● Dimension 3: Effort Density
Effort Density compares the raw trading volume directly against the prevailing volatility range.
It identifies periods where the market is churning heavily without expanding its dynamic range.
Like the other dimensions, this value is smoothed, tracked against its historical extremes, and normalized to a 100-point scale for seamless integration.
● Composite Calculation and Signal Logic
The three dimensions are blended using precise, user-defined weights to form the raw weariness score.
A Simple Moving Average is applied to smooth the raw data, creating the primary indicator trajectory.
The script continuously evaluates the mathematical velocity and acceleration of this smoothed line to detect structural deceleration in weariness.
This logic triggers specific reversal signals only when extreme exhaustion mathematically begins to wane, rather than at the absolute peak.
🎨 Visual Guide
The system provides a rich, multi-layered visual experience to ensure all data is instantly readable directly on the chart.
● Chart Elements and Overlays
Candle Coloring: The main chart candles are dynamically colored based on the current weariness level, transitioning through a gradient of green, yellow, orange, and red.
Reversal Labels: Explicit downward-pointing labels appear on the chart when the weariness metric peaks above the critical threshold and structural deceleration is confirmed.
Recovery Labels: Upward-pointing labels signify that the market has recovered from a state of severe exhaustion, crossing back into baseline operational zones.
● Oscillator Panel
Oscillator Line: The thick main oscillator line representing the composite weariness score, dynamically colored.
Dimension Lines: Three distinct lines representing the individual calculations for Phantom Volume, Directional Hesitation, and Effort Density.
Threshold Fills: A semi-transparent visual fill highlights the specific zone between the critical alert level and the recovery baseline.
Critical Backgrounds: The oscillator panel background shifts color dynamically when weariness exceeds absolute critical limits.
● On-Chart Dashboard
Data Table: An intuitive, heavily formatted table tracks the exact percentage and text status of the current calculation.
Progress Bars: Text-based visual progress bars represent the isolated weight of each dimension in real-time.
Acceleration Trackers: Directional arrows track the direct acceleration vector of the current trend state.
📖 How to Use
The primary application of this system is identifying when a market move has exhausted its underlying momentum, regardless of the immediate price action.
● Identifying Exhaustion
Monitor the primary oscillator as it climbs toward the upper boundary.
When the line enters this critical zone, the current trend is expending maximum effort for minimal reward. Caution is advised for trend-continuation setups.
● Evaluating Reversals
Wait for the structural acceleration to turn negative.
When a reversal label manifests, it suggests that the exhaustion has structurally peaked and the market may be susceptible to a shift in directional momentum.
● Confirming Recoveries
After a period of extreme weariness, wait for the oscillator to fall back below the defined recovery threshold.
The appearance of a recovery label indicates the market has absorbed the previous friction, signaling a return to baseline conditions.
⚙️ Inputs and Settings
The script provides granular control over all internal weighting and lookback mechanisms.
● Core Parameters
Lookback: Defines the primary window for all moving averages and historical normalization extremes.
Smooth: Adjusts the sensitivity of the final composite score to reduce standard market noise.
ATR Len: The specific period used for calculating the volatility benchmarks essential to the Hesitation and Density formulas.
● Dimension Weights
W1 Phantom Vol: The proportional weight assigned to the volume-per-move calculation.
W2 Dir Hesit: The proportional weight assigned to the structural hesitation calculation.
W3 Effort Den: The proportional weight assigned to the volume-to-volatility calculation.
● Signal and Visual Thresholds
Crit Exh %: The strict upper boundary that defines extreme structural weariness.
Recovery %: The lower boundary that defines a complete return to standard market flow.
Confirm Bars: The sustained duration required for the indicator to remain in exhaustion before any subsequent reversal signals can be mathematically validated.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The theoretical foundation of this logic rests heavily on established volume spread principles and statistical volatility analysis.
● Effort vs. Result Mechanics
In objective terms, when a system applies maximum input volume but achieves minimal price displacement, the energy is being absorbed by opposing liquidity.
The script quantifies this exact friction mathematically through specialized density formulas, filtering out traditional momentum illusions.
● Volatility Clustering
The hesitation frameworks rely on the statistical observation of volatility clustering.
By measuring continuous body size constraints relative to an evolving volatility band, the formulas isolate periods where directional conviction fundamentally collapses.
● Derivative Logic
The internal signal engine evaluates the specific velocity and acceleration vectors of the underlying weariness curve.
By requiring structural acceleration to turn decisively negative after a local maximum, the mathematical algorithm ensures the statistical apex of the exhaustion phase has cleanly passed before printing confirmation markers.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Indicator
Indicator
The Boy Plunger | AnonycryptousThe Boy Plunger | Anonycryptous
Description & user manual
Why is this indicator different?
Most breakout indicators do one thing: they draw a line and fire a signal when price crosses it. They do not ask whether the move is real. They do not ask whether the volume confirms it. They do not ask whether the broader trend supports it. They just fire.
The Boy Plunger is built on a different philosophy. It does not look for crossings. It looks for proof.
Every signal in this indicator requires the market to pass through a series of gates before anything fires. A key structural level must be present. Price must approach it with observable intent. Volume must confirm participation. The body of the breakout candle must show conviction. The ribbon must be aligned with the move. Only when all required conditions are satisfied does a signal appear.
This is confirmation trading in its strictest form. It produces fewer signals than most indicators. That is not a weakness. That is the point.
Most indicators on PulseWire that claim to be based on Livermore's method are either a single pivot high/low scanner or a basic breakout line. None of them implement the full confirmation philosophy — the waiting zone, the volume proof, the structural gate, the failed breakout detection. This indicator does all of that in a single tool, across all markets and timeframes, with a modular seven-preset system that lets you trade pure Livermore methodology or adapt it to modern intraday conditions.
A tribute to Jesse Lauriston Livermore (1877-1940)
He started with five dollars and a notebook. No connections, no capital, no safety net — just the ability to read price and the discipline to wait. By 1929 he had turned that into an estimated one hundred million dollars, shorting the crash while the rest of the world burned.
He defined what it means to trade with conviction. Wait for the decisive point. Watch how the market behaves around key levels. Demand proof before committing. Exit without hesitation when the market proves you wrong.
He called these moments pivot points — not a formula, but a philosophy. The market reveals its hand when it breaks away from structure with strength and volume. Everything before that is noise.
But Livermore also lost it all. Four times. He broke his own rules, overtraded, let emotion overrule his system. The man who made one hundred million dollars was declared bankrupt in 1934. On November 28, 1940, he took his own life in a New York hotel. His farewell note read: "My life has been a failure."
It wasn't. He gave traders a language to describe what markets do. A century later, his observations are still the foundation of how serious traders think about price.
This indicator is built on his principles:
- structure defines the battlefield
- volume confirms the move
- trend determines the direction
- proof before entry, always
What you do with it is your decision.
1. Overview
The Boy Plunger is a multi-engine confluence indicator built for traders who want to trade with structure, confirmation, and discipline. It works on all markets and timeframes — equities, crypto, futures, forex, indices. Nothing is hardcoded to a specific instrument.
The indicator contains seven engines that work together:
- Silk ribbon — multi-strand MA system for macro trend
- Htf levels — higher timeframe pivot structure as key levels
- Volume engine — spike detection with delta confirmation
- Signal gate — preset-based multi-condition filter
- Fvg engine — fair value gap detection for entry refinement
- Htf reversal radar — multi-timeframe warning system
- Trade block — locked entry, stop, and take profit management
All seven engines are visible simultaneously on the main chart. The dashboard gives you a real-time read of every active condition. The trade block locks the moment a signal fires and does not move until the trade is resolved.
2. The waiting zone system
This is the core visual innovation of the indicator. Rather than coloring elements only when a signal fires, every component communicates the current stage of a developing setup:
Scanning — price is away from any key level. The ribbon is grey and dimmed. No setup is developing.
Watching — price has entered the proximity zone around a key htf level (within a configurable ATR distance). The level turns gold. The waiting zone is active. This is the "I am watching" state that Livermore described — the market is approaching the decisive point but has not proven anything yet.
Confirmed — price breaks the level with volume spike and body conviction. Everything fires to full color. The signal candle is highlighted. If the preset requires it, the signal fires.
This three-state system means the chart is always telling you something — not just when a signal happens, but what stage of development you are in. Scanning means relax. Watching means pay attention. Confirmed means decide.
3. Presets
The indicator has seven presets that define which gates are required for a signal to fire. You change the preset in the settings under the preset group.
Livermore
The purest implementation of his method. No EMA gate — he did not use EMAs. Level proximity required. Volume spike required. Body conviction required. This preset is designed for traders who want to apply his original philosophy as closely as possible to modern markets. The recommended cooldown is 10 bars based on testing across multiple instruments — long enough to avoid noise, short enough to catch valid retests of confirmed levels. Best results observed on 15m and above.
Boy plunger
The intraday adaptation. Macro trend gate added via the ribbon (HMA 8/21 by default). Level required. Volume required. Body required. Cooldown shorter by default. Built for scalp-oriented traders who want Livermore's structure logic on faster timeframes. The HMA is used instead of EMA because of its faster response and cleaner directional read on lower timeframes.
Ribbon
Uses the MA cross as the primary gate. The level acts as a structural filter rather than a requirement. Best for trend-following traders who want ribbon-confirmed entries near key structure.
Sensitive
Level and volume spike only. No trend gate, no body filter. Produces more signals. Use when you want maximum opportunity detection and prefer to filter visually yourself.
Balanced
Trend, level, and volume. The middle ground between sensitivity and selectivity. Recommended starting point if you are new to the indicator.
Fvg entry
Balanced gates plus a requirement that price is inside an active fair value gap at signal time. This produces the tightest entries and smallest stop distances. Note: fair value gaps are not part of Livermore's original methodology. This preset is for modern traders who combine his structural philosophy with imbalance-based entry timing.
Custom
All engine gates become individual toggles. You build your own preset. Every toggle has a tooltip explaining its function and its relationship to Livermore's original method.
4. The silk ribbon
The ribbon consists of seven MA strands between your fast and slow periods, with gradient fills between them. The MA type applies to all strands simultaneously.
Available types: EMA, HMA, DEMA, TEMA, ZLEMA.
HMA is recommended for intraday scalping. EMA is more stable for swing setups. DEMA and TEMA reduce lag further but can be noisy on short timeframes. ZLEMA minimizes lag while maintaining smoothness.
The ribbon colors purely based on trend direction:
- Green when fast strand is above slow strand (bull)
- Red when fast strand is below slow strand (bear)
- Grey when flat
The color intensity and fill transparency are controlled by a single transparency slider. The fast strand width is separately configurable.
Cross signals (tiny circles) fire when the fast and slow strands cross. These are early warnings of potential trend change, not entry signals by themselves.
5. Htf levels
The indicator pulls pivot highs and lows from a higher timeframe of your choice using request.security. This means the levels you see on your 1m or 5m chart are actual structural levels from the 4h or daily chart — not redrawn approximations.
You can set a separate count for resistance levels and support levels. The nearest-only toggle reduces this to one resistance and one support — the most relevant levels on each side of price.
Each level has three visual states that match the waiting zone system described above. Scanning levels are dimmed. Watching levels turn gold. Confirmed breakout levels turn green or red.
An optional current timeframe overlay adds the pivots from your active chart at high transparency. This gives structural context without cluttering the main htf levels.
The failed breakout marker fires when price confirms a level, then returns through it within a configurable number of bars. This is the direct implementation of Livermore's rule: if the market moves back against you after a breakout, exit quickly with a small loss.
6. Volume engine
The volume engine has two components:
Spike detection: volume must exceed the configurable-period SMA multiplied by the spike multiplier. Default is 1.5x — meaning volume must be at least fifty percent above average to qualify.
Body conviction: the candle body must represent at least a configurable percentage of the total candle range. Default is 55%. This filters out doji candles and wick-heavy indecision candles from being counted as confirmed breakouts.
The volume halo appears on the chart for every spike bar. Its height scales with the volume ratio — a 3x spike produces a taller halo than a 1.5x spike. The halo color uses delta logic:
- Green for bull body with conviction (buying commitment)
- Red for bear body with conviction (selling commitment)
- Gold for high-volume doji or mixed candle (institutional activity, unclear direction)
The ratio text inside the halo shows the exact multiple (2.1x, 3.4x, etc.). Its opacity scales with strength — a weak spike shows faint text, a strong spike shows full text. This means glancing at the halo tells you both the direction and magnitude of institutional participation at that bar.
7. Htf ghost candles
The ghost candle engine projects the last N closed higher timeframe candles to the right of your chart, plus the current live (unfinished) htf candle. This gives you the htf price structure in candle form without switching timeframes.
The ghost candle timeframe is independent from the htf level timeframe. You can show 4H structural levels while projecting 1H ghost candles, or combine them however fits your workflow.
Closed candles are drawn left to right, oldest to newest. Each candle consists of a body box and a wick line. Bull candles are green, bear candles are red. No time labels appear on any candle — pure price structure only.
The live candle (the current unfinished htf bar) is drawn rightmost in a gold tint to distinguish it from closed candles. As the htf bar develops, this candle updates in real time.
Optional OHLC labels show the high, low, and close price to the right of each candle. The close label uses the candle direction color (green or red). High and low labels are grey.
Configurable settings:
- Ghost candle timeframe (independent from htf level TF)
- Number of closed candles to show (1-8)
- Right offset from last bar
- Candle width in bars
- Gap between candles
- OHLC labels on/off
- Bull, bear, wick, and live candle colors
8. Fair value gaps
Fair value gaps are three-bar imbalances where the middle candle leaves a gap between the high of the first candle and the low of the third candle (for bullish gaps) or the reverse. They represent areas where price moved too fast to fill orders on both sides.
In this indicator, fvgs are disabled by default in all presets except fvg entry. This is intentional — they are not part of Livermore's method and were not available to him. They are provided as an optional tool for traders who use modern imbalance concepts alongside structural analysis.
When enabled, fvgs show partial mitigation as price fills them progressively. Fully mitigated gaps are either removed or shown in a dimmed grey depending on your settings. The max visible fvg count prevents the chart from becoming cluttered on instruments with frequent gaps.
9. Htf reversal radar
The reversal radar monitors three configurable higher timeframes simultaneously for potential reversal conditions. A warning fires when two or more timeframes show:
- An EMA cross in the opposite direction to the current trend, or
- An RSI extreme exit (above 70 crossing back down, or below 30 crossing back up)
The warning appears as a small diamond plotshape and is reflected in the dashboard. It does not block signals — it is contextual information that something may be changing on higher timeframes while you are looking at a lower timeframe setup.
10. Rsi divergence
The divergence engine compares price pivot highs/lows to RSI pivot highs/lows. Bullish divergence fires when price makes a lower low but RSI makes a higher low. Bearish divergence fires when price makes a higher high but RSI makes a lower high.
Lines are drawn connecting the pivots that form the divergence. A small "div" text label appears at the endpoint. Line width and colors are separately configurable.
Divergence does not gate signals in any preset. It is contextual information — a potential warning that momentum is weakening even as price extends.
11. Signal quality filters
Three additional filters apply across all presets:
Cooldown: a minimum number of bars must pass between signals. This prevents multiple signals from firing on the same setup as it develops. Recommended: 10 bars as a starting point. Adjust based on your timeframe and how often valid setups appear. The dashboard shows either "ready" or the number of bars remaining.
Max ATR distance: if price is too far extended from the ribbon fast strand, the signal is blocked. This prevents entries on moves that are already largely done. Default is 3 ATR from the ribbon.
Pullback gate: an optional filter that requires price to return toward the ribbon after a breakout before confirming an entry. This is the cleanest implementation of Livermore's preferred entry timing — let the level break, let the market prove it wants to go, then enter on the retest rather than the initial breakout. Fewer signals, better risk to reward.
12. Trade block
The trade block appears only when a trade is active. It locks the moment a signal fires and does not move until the trade closes.
Components:
- Entry line with label showing price and direction
- Stop line (ATR, swing high/low, or hybrid of the two)
- Three take profit lines at configurable R multiples
- Risk zone box between entry and stop
- Reward boxes between entry and each TP
- Phase label above TP3 showing preset and direction
- R:R ratio and win rate displayed in the reward zone
TP lines dim when not yet reached and become fully saturated when hit. This gives you an immediate visual read of where you are in the trade without looking at the dashboard.
When the trade closes, a labeled exit appears at the exit candle:
- tp1, tp2, tp3 in green with dark text
- sl in red with dark text
- trail in gold with dark text
These labels remain on the chart after the trade closes so you can review the history.
Stop loss modes:
- ATR: stop at entry plus or minus ATR multiplied by a configurable value
- Swing: stop at the recent swing high or low
- Hybrid: the wider of the two — provides the most structure-aware placement
Trail stop activates after TP1 is hit. After TP1, the stop moves to breakeven. After TP2, the stop trails behind the ribbon fast strand with a configurable buffer.
13. Dashboard reference
The dashboard updates every bar at the latest bar. All values are live.
Htf — the timeframe driving the structural levels
Macro trend — ribbon direction (bull / bear)
Ribbon — active MA type
Active level — nearest htf pivot level to current price
Level state — scanning / watching / confirmed up / confirmed down
Volume ratio — current bar volume relative to the SMA (e.g. 1.8x avg or spike 2.3x)
Body ratio — current candle body as percentage of total range
Fvg active — count of active unmitigated bull and bear fvgs
Divergence — bull div or bear div if active, otherwise --
Htf radar — number of higher timeframes showing reversal conditions
Signal gate — active preset name
Last signal — most recent signal direction and whether trade is active
Tp progress — three dots showing current trade's TP hit status (o unlit, ^ hit)
Tp1 rate — percentage of total trades that reached TP1
Tp2 rate — percentage of total trades that reached TP2
Tp3 rate — percentage of total trades that reached TP3
Failed breakouts — cumulative count of failed breakout signals
Long win rate — TP1 hit rate on long signals only
Short win rate — TP1 hit rate on short signals only
Cooldown — bars remaining before next signal is allowed, or "ready"
14. Settings overview
Preset group
- Signal gate preset (7 options)
- Custom gate toggles (active only in custom preset)
- Signal cooldown on/off and bar count
- Pullback gate on/off and window
- Max ATR distance on/off and multiplier
Silk ribbon group
- Show ribbon on/off
- MA type
- Fast and slow periods
- Ribbon transparency slider
- Fast strand width
- Show cross signals on/off
- Bull and bear cross colors
Htf levels group
- Htf timeframe
- Pivot length
- Max resistance levels shown (1-8)
- Max support levels shown (1-8)
- Nearest only toggle
- Level line width
- Resistance, support, watching, and confirmed colors
- Show current TF levels on/off
- Current TF pivot length
- Watching zone ATR distance
- Failed breakout lookback bars
Volume engine group
- Show volume halo on/off
- Volume SMA length
- Spike multiplier
- Min body ratio
- Halo height ATR multiplier
Htf ghost candles group
- Show ghost candles on/off
- Ghost candle timeframe
- Number of candles to show
- Right offset, width, and gap between candles
- Show OHLC labels on/off
- Bull, bear, wick, and live candle colors
Fvg group
- Show fvgs on/off (off by default except in fvg entry preset)
- Max visible fvg count
- Min gap size in ATR
- Extend to right on/off
- Keep mitigated gaps on/off
- Bull, bear, and mitigated colors
Htf reversal radar group
- Enable radar on/off
- Three radar timeframes
Divergence group
- Show divergence on/off
- Pivot left and right lookback
- Max bars between pivots
- Show divergence lines on/off
- Line width
- Bull and bear divergence colors
Trade block group
- Show trade block on/off
- Show exit labels on/off
- Exit label colors (TP, SL, trail)
- SL source (ATR, swing, hybrid)
- ATR stop multiplier
- Swing lookback
- TP1, TP2, TP3 R multiples
- Trail stop on/off
- Trail buffer ATR multiplier
- Project bars (width of the trade block)
Dashboard group
- Show dashboard on/off
- Position (four corners)
- Size (tiny, small, normal)
15. How to use — beginners
If you are new to technical analysis and confluence-based trading, start here.
Step 1: add the indicator and set the preset to "balanced."
Step 2: set your htf timeframe to something higher than the chart you are watching. If you are on a 5m chart, use 1H. If you are on a 15m chart, use 4H.
Step 3: watch the dashboard. When level state changes from "scanning" to "watching," that means price is approaching a key level. This is your cue to pay close attention.
Step 4: wait. Do not act on "watching." Wait for volume to confirm. Wait for the ribbon to be aligned. Wait for the body ratio to show a conviction candle. When the level state changes to "confirmed," that is when the indicator agrees a signal may be valid.
Step 5: if a triangle signal appears below or above a candle, that means all preset gates passed simultaneously. The trade block will lock your entry, stop, and targets automatically.
Step 6: manage the trade with the trade block. Watch the TP progress dots in the dashboard. When dots light up, TPs are being hit.
Step 7: after the trade closes, look at the exit label on the chart. This tells you how the trade resolved — tp1, tp2, tp3, sl, or trail.
Step 8: over time, watch the dashboard metrics. TP1 rate above 60% on your chosen preset and timeframe is a solid foundation. If it is below 50%, try adjusting the cooldown, the volume multiplier, or the htf level pivot length.
16. How to use — experienced traders
For traders who understand confluence and want to customize the indicator for their own methodology:
The custom preset gives you individual control over every gate. Use this if you have a specific condition combination that the named presets do not cover.
The pullback gate is the highest-value optional filter in the indicator. Enable it if you find that your signals are entering too early on breakout candles and getting caught in the initial wick. It waits for price to retrace toward the ribbon before confirming entry.
The ribbon period settings matter significantly on lower timeframes. For 1m and 5m, test HMA 8/21. For 15m, HMA 13/34 or EMA 21/55. For 1H and above, EMA 21/89 gives cleaner swing context without too much noise.
The volume spike multiplier should be adjusted by instrument. Crypto and oil tend to have more frequent spikes than equity index futures. Start at 1.5x and move up to 2.0x if you are getting too many false spikes.
The failed breakout lookback (default 3 bars) can be extended to 5-8 bars on higher timeframes where reactions take longer to develop.
For multi-timeframe setups, use the htf reversal radar with timeframes one step above your normal analysis chain. If you trade on 15m, set the radar to 1H, 4H, and daily. A warning on two or more of those while a signal fires on your 15m is meaningful context.
17. Performance notes from testing
The Livermore preset on 15m across multiple instruments (MNQ, BTC futures, micro gold, crude oil) showed the following general ranges across several hundred signals. These are not guarantees and will vary by instrument and market conditions.
TP1 rate: 66-75% depending on instrument
TP2 rate: 27-45%
TP3 rate: 14-25%
Long win rate (TP1 as measure): 68-80%
Short win rate (TP1 as measure): 55-70%
The gap between long and short rates reflects the natural long bias of most risk assets over time. Instruments with persistent directional trends tend to show higher rates in the direction of that trend.
A 10-bar cooldown showed better results than 5 bars or 50 bars in testing. At 5 bars, too many signals clustered around the same level. At 50 bars, valid retests were missed entirely. At 10 bars, the indicator captures the initial breakout and the first meaningful retest while filtering pure noise.
These numbers should be treated as starting points for your own testing, not as targets to optimize around. Your instrument, timeframe, and current market regime will all affect them.
18. Alerts
The indicator includes eight alert conditions accessible through PulseWire's alert system:
- Long signal confirmed
- Short signal confirmed
- Failed breakout detected
- Htf bear reversal warning (2+ timeframes)
- Htf bull reversal warning (2+ timeframes)
- Bull divergence detected
- Bear divergence detected
- Level watching (price approaching key htf level)
Set the alert on "once per bar close" for the cleanest signals without repainting on the current bar.
19. Compatibility
Works on all instruments: equities, ETFs, crypto, forex, futures, indices, commodities.
Works on all timeframes from 1m to monthly.
No hardcoded tick sizes, contract specifications, or session times.
No repainting on closed bars. The current bar may repaint as it develops, which is expected behavior for any indicator.
Pine Script v6. Requires PulseWire Essential plan or above for the best performance due to the multiple request.security calls used for htf levels.
20. What this indicator does not do
- Does not connect to any broker
- Does not place trades automatically
- Does not guarantee any level of profitability
- Does not predict future price movement
- Does not work without price data — it needs bars to calculate
- Does not replace your own market analysis and judgment
The indicator provides structured visual context and a confirmation framework. The decision to enter, manage, and exit a trade remains entirely yours.
21. Disclaimer
This indicator is provided for educational and informational purposes only. Nothing in this document constitutes financial advice or any form of recommendation to buy or sell any financial instrument.
All trading decisions are made entirely by the user. Trading financial instruments involves substantial risk of loss. Past indicator performance on historical data is not indicative of future results. You may lose all of your invested capital.
Anonycryptous accepts no responsibility or liability for any trading losses incurred as a result of using this indicator.
Indicator
STWP Market MatrixOverview
STWP Market Matrix is a multi-factor market dashboard designed to consolidate several commonly used technical concepts into a single visual framework.
Most technical indicators focus on one aspect of market analysis, such as trend, volume, volatility, or support and resistance. STWP Market Matrix combines these factors into a structured dashboard so traders can evaluate market conditions from multiple perspectives without switching between several indicators.
The objective is not to generate buy or sell signals, but to provide a quick and organized view of trend direction, participation, relative strength, volatility conditions, and key market reference levels.
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Why This Indicator?
Market decisions are often influenced by multiple factors rather than a single indicator. A stock may show a bullish trend but weak participation, strong volume but poor relative strength, or favorable structure while trading below key reference levels.
STWP Market Matrix brings together:
• Trend Analysis (EMA Structure)
• VWAP Positioning
• Buyer vs Seller Participation
• Volume Assessment
• Market Structure Analysis
• Multi-Timeframe Confirmation
• Relative Strength vs NIFTY
• Daily Volume Context
• Pivot Reference Levels
• Volatility Assessment
into one dashboard to help users evaluate these conditions simultaneously.
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Dashboard Components
Trend
Trend is determined using Fast and Slow Exponential Moving Averages (EMA).
Bullish: Fast EMA above Slow EMA
Bearish: Fast EMA below Slow EMA
This provides a simple directional bias.
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VWAP
Displays whether price is trading above or below the Volume Weighted Average Price (VWAP).
VWAP is commonly used by traders to assess intraday strength and market positioning.
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Buyers & Sellers
These metrics evaluate the balance between bullish and bearish candle pressure.
The goal is to provide a simple visual indication of whether buyers or sellers currently have greater influence on price movement.
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Volume
Current volume is compared against average volume to identify participation levels.
Higher-than-average volume may indicate stronger market participation, while lower volume may suggest reduced activity.
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Market State
The indicator classifies market conditions into:
Breakout
Breakdown
Range
based on recent price structure and historical highs/lows.
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Price Structure
Price structure evaluates whether the market is producing:
Higher Highs and Higher Lows
Lower Highs and Lower Lows
Sideways Conditions
This provides additional context beyond simple trend analysis.
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Multi-Timeframe Alignment
The dashboard evaluates whether higher timeframe EMA conditions support the current chart timeframe.
This helps identify whether trends are aligned across multiple timeframes.
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Relative Strength (RS)
Relative Strength compares the selected symbol against the NIFTY Index.
Possible interpretations:
Outperforming
Underperforming
This helps identify whether a symbol is displaying relative leadership or weakness compared to the broader market.
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Daily Volume
Daily volume is compared against its historical average to provide additional participation context.
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Pivot Reference Framework
The dashboard includes classic pivot calculations based on the previous trading session's:
High
Low
Close
Displayed levels include:
Pivot
R1 to R5
S1 to S5
These levels are intended as objective reference zones that may help identify potential areas of support, resistance, reaction, or expansion.
The levels are not intended as price targets or predictions.
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STWP Matrix Panel
Grade
A composite score derived from:
Trend Alignment
VWAP Position
Volume Participation
Relative Strength
Multi-Timeframe Confirmation
Grades range from D to A+.
Higher grades indicate stronger alignment among the evaluated factors.
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Flow
Flow evaluates participation bias using candle position and volume behavior.
Possible states:
Accumulation
Distribution
Balanced
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Energy
Energy evaluates volatility conditions using:
Bollinger Band Width
Average True Range (ATR)
Possible states:
Building
Normal
Exploding
This can help identify periods of contraction and expansion.
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Risk
Risk provides a simplified assessment of current market conditions using momentum and volatility characteristics.
Possible states:
Low
Medium
High
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Opportunity
Opportunity summarizes overall market conditions based on the dashboard's underlying factors.
Possible states:
Excellent
Good
Average
Avoid
This metric is intended to provide context and should not be interpreted as a trading recommendation.
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Suggested Workflow
A possible workflow for using the dashboard:
Review Trend and VWAP alignment.
Evaluate Market State and Price Structure.
Check Relative Strength versus NIFTY.
Assess volume participation.
Review Pivot and Support/Resistance levels.
Evaluate Grade, Flow, Energy, Risk, and Opportunity readings.
Combine observations with personal analysis, trade planning, and risk management.
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Limitations
The indicator relies entirely on historical price and volume data.
Pivot levels are reference zones and not guarantees of future market reactions.
Relative Strength readings may vary across instruments and timeframes.
Market conditions can change rapidly during periods of elevated volatility.
No technical indicator can predict future price movement with certainty.
The dashboard should be used as an analytical aid rather than a standalone decision-making system.
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Disclaimer
This script is provided strictly for educational and informational purposes.
The indicator does not provide investment advice, research reports, trading recommendations, portfolio management services, or buy/sell calls.
All calculations are derived from historical price and volume data and are intended solely to assist technical analysis.
Users should conduct their own independent research, analysis, and risk assessment before making any trading or investment decisions.
Past performance does not guarantee future results. Financial markets involve risk, and losses may occur.
For users subject to SEBI regulations, this indicator should not be interpreted as a recommendation, solicitation, stock tip, investment advisory service, or research report.
Any trading or investment decision remains solely the responsibility of the user.
© Simple Trade With Patience (STWP)
Indicator
HTF Delta Flux + Liquidations [BigBeluga]HTF Delta Flux + Liquidations is a high-timeframe order flow diagnostic tool that visualizes the internal volume dynamics of macro candles. By projecting Higher Timeframe (HTF) structures onto your current chart, it reveals the "Flux"—the movement of Cumulative Volume Delta—and identifies high-velocity volume spikes often associated with liquidations.
Unlike standard indicators that only show a candle’s open and close, this script breaks down the aggressive buying and selling that occurred inside the candle’s duration.
🔵 CONCEPTS
HTF Candle Boxes: Automatically draws the body and wicks of a higher timeframe (e.g., Daily or Weekly) over your intraday price action.
The Delta Flux Curve: An internal polyline that maps the path of Cumulative Volume Delta within the HTF candle. This allows you to see if a candle’s volume was "front-loaded" or "back-loaded."
Full Body Mode: A visual toggle that expands the candle box to cover the entire High-Low range, creating a "Liquidity Zone" view.
Cumulative Delta Dashboard: A real-time table tracking the last N HTF candles, displaying their directional bias, total delta, and the volume contributed by liquidation flushes.
🔵 THE SYNTHETIC LIQUIDATION ENGINE
It is important to note: This indicator does not use real-time exchange liquidation API data. Since PulseWire does not provide native exchange-level liquidation feeds for all symbols, this tool uses a Volume-Based Proxy to identify liquidation-like events.
How it works:
The engine monitors the rate of change in Volume Delta. When a volume spike exceeds a specific Standard Deviation threshold relative to recent activity, it identifies a "Liquidity Flush." In the market, these extreme, sudden bursts of volume often correlate with forced liquidations or stop-run cascades.
Circle Markers: Appear at the high or low of the bar where the flush occurred.
Volume Labels: Display the specific amount of aggressive delta that triggered the signal.
🔵 FEATURES
Customizable HTF Timeframe: Analyze Daily, Weekly, or even Monthly order flow on 1-minute or 5-minute charts.
Standard Deviation Sensitivity: Fine-tune the "Dev Threshold" to filter out minor volume noise and only highlight the most significant liquidity events.
Live Delta Tracking: The current "Live" candle displays a real-time count of the active delta flux.
Historical Bias Analysis: The dashboard calculates the average bias and liquidation volume over your selected history to identify macro trend exhaustion.
🔵 HOW TO USE
Spotting Absorption: If you see a large Bullish HTF candle but the Delta Flux Curve is trending downward, it suggests aggressive selling is being absorbed by limit buyers.
Trading the "Flush": Liquidation labels (circles) often mark the local top or bottom of a move. When a "Liq" label appears after a fast price extension, it frequently signals a temporary exhaustion of the move.
Trend Confluence: Use the Dashboard to see if "Average Liq Volume" is increasing. Rising liquidation volume at the end of a trend often precedes a major reversal.
Intra-Candle Context: Watch the Delta Curve . If price is moving higher but the curve is flat, the move is likely low-conviction and prone to a retracement.
🔵 CONCLUSION
HTF Delta Flux + Liquidations bridges the gap between macro structure and micro order flow. By transforming raw volume into a visual "Flux" path and highlighting mathematical volume anomalies, it provides traders with a sophisticated map of institutional aggression and retail exhaustion. Indicator
Kinetic Momentum Vectors [BigBeluga]Kinetic Momentum Vectors is a high-performance analytical framework that reimagines price action as a physical system. By calculating the "mass" (volume) and "velocity" (rate of change), the script identifies the Kinetic Energy driving a trend. Instead of traditional lagging oscillators, this tool projects momentum as external "propulsion vectors" anchored to a trend baseline, allowing you to see exactly when a move is fueled by institutional conviction or retail exhaustion.
🔵 THE PHYSICS OF MOMENTUM
Energy Normalization (0-1 Engine): The indicator processes volume-weighted price movement through a Min-Max normalization scaler. This isolates the most explosive "Kinetic Spikes" within your chosen lookback period, ensuring you only react to the most significant institutional surges.
Propulsion Fuel Candles: Momentum is visually detached from price and plotted as "fuel candles" relative to a central EMA. Bullish energy accelerates downward from the baseline, while bearish energy expands upward, creating a "momentum vacuum" that reveals the true strength of a trend's engine.
Kinetic Spike Anchors: When normalization hits the "Spike Threshold," the script locks in a structural vector. These are the exact price levels where maximum work was performed by the market, serving as high-probability pivots for future support and resistance.
🔵 STRUCTURAL INTELLIGENCE
Refining Vector Levels: Unlike static lines, these levels feature a 3-bar confirmation window . The script dynamically updates the vector to the absolute high or low of the momentum event, ensuring your structural anchors are pixel-perfect.
Adaptive Level States: Vectors transition from solid to dashed the moment they are breached. This "Style-Override" logic provides an instant visual alert that a momentum barrier has failed and a potential "S/R Flip" is in progress.
Auto-Scaling ATR Visuals: The vertical height of the momentum candles is governed by current volatility (ATR). This ensures that the visual data remains legible and proportional, whether you are trading a low-volatility Asian session or a high-volatility New York open.
🔵 CORE UTILITY
Identifying "Empty" Trends: A healthy trend requires increasing Kinetic Fuel. If price continues to climb while the fuel candles shrink back toward the baseline, you are looking at a "low-kinetic" divergence—a primary warning sign of a trend reversal.
Institutional S/R Mapping: Use the Kinetic Spike labels as "hard" targets. Because these levels are generated by high-volume price displacement, they represent areas where big players have already shown their hand.
Momentum Breakout Confirmation: Enter trades when a price breakout is accompanied by a full-sized kinetic vector. If the fuel candles remain small during a breakout, it lacks the "mass" required to sustain the move.
The Baseline Magnet: The trend baseline acts as the gravitational center. When price overextends and kinetic energy hits a 1.0 spike, look for a mean-reversion move back toward the EMA baseline.
Kinetic Momentum Vectors strips away the noise of standard technical analysis to reveal the raw energy moving the market. By monitoring the fuel behind the price, you can trade with the flow of institutional kinetic energy and avoid the traps of exhausted trends. Indicator
KAS Volume DeltaKAS Volume Delta is a per-candle volume delta histogram that shows the directional buy and sell pressure behind every bar. It reads each candle's direction together with its volume to estimate net order pressure, then adds a signal line and highlights bars with exceptional delta. It is a clean, lightweight way to add order-flow context to any chart that provides volume data.
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WHAT IT DOES
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Plots a per-candle volume delta histogram (green for net buying, red for net selling).
Splits indecision (Doji) candles by their close position so flat bars still carry a directional bias.
Draws a Delta SMA signal line to track whether pressure is accelerating or fading.
Highlights dominant bars where the absolute delta exceeds twice its recent average.
Optionally normalizes delta by average volume for cross-instrument comparison.
Optionally tints the main-chart candles by delta direction (off by default).
Shows a compact status readout: current bias, SMA signal state, dominant state.
Includes four alerts on delta zero-cross and SMA-cross events.
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HOW IT WORKS
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Bar-Level Delta: Each candle's delta is set to +volume when close is above open (net buying) and -volume when close is below open (net selling). This is a transparent estimate computed directly from OHLC and volume, with no lower-timeframe dependency.
Doji Handling (hl2 midpoint): On indecision candles where close equals open, delta is split by the close-versus-midpoint position. A close at or above hl2 yields +0.5x volume (soft buying); below hl2 yields -0.5x volume (soft selling). Flat bars therefore still contribute a directional bias instead of a zero.
Delta SMA Signal Line: A simple moving average of delta over a configurable length (default 21) acts as a signal line. Delta crossing above the SMA indicates buying pressure accelerating; crossing below indicates selling pressure building.
Dominant Bar Detection: The absolute delta is compared against its own 20-bar average. When a bar's magnitude exceeds twice that average, it renders at full opacity and greater width, surfacing exceptional single-bar pressure with no manual reading.
Optional Normalization: When enabled, delta is divided by the 20-bar volume average, producing a relative ratio that makes delta intensity comparable across different instruments and timeframes.
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WHY IT'S UNIQUE
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Unlike PulseWire's native Volume Delta, which relies on lower-timeframe intrabar data and can behave inconsistently on higher timeframes or illiquid symbols, this indicator computes a transparent bar-level delta directly from each candle, with no lower-timeframe dependency.
Unlike scripts that assign zero delta to indecision candles, this indicator splits Doji volume by the close-versus-midpoint (hl2) position at plus or minus 0.5x volume, preserving directional bias on flat bars.
Unlike cumulative delta tools that focus on a single running aggregate line, this indicator stays per-candle and flags dominant bars whenever delta magnitude exceeds twice its own recent average.
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HOW TO USE
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Add to any timeframe; works well from 5m to 4h for intraday and swing context.
Default settings are calibrated for liquid symbols (major crypto, large-cap stocks, major FX).
Read the histogram against the SMA signal line: sustained bars beyond the line confirm momentum; dominant bars mark exceptional initiation or exhaustion.
Enable Normalization when comparing delta intensity across different instruments.
Pair with your existing price structure or trend tools for confluence.
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LIMITATIONS
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Requires a symbol that provides volume data; on feeds without volume the histogram will be empty.
The bar-level method is an approximation of order flow based on candle direction. It does not measure true intrabar buy/sell execution.
The SMA signal line lags by design and reacts after a move has begun.
This tool is for analytical purposes only and does not constitute financial advice.
Past signal behavior is not indicative of future results.
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KNECHT ALPHA SIGNALS
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Institutional-grade Volume Delta, Momentum, and MTF Analysis for PulseWire.
Built for traders who demand precision over noise. Indicator
