Boshmann's Regime CountersSummary of Boshmann's Regime Counters
At its core, this indicator is designed to remove human subjectivity from chart reading by translating market behavior into purely objective, mathematically defined states. Rather than relying on discretionary trendlines or "gut feelings" about market speed, it uses robust statistical baselines to continuously classify the market into discrete Trend and Volatility regimes.
For PulseWire users, this provides an immediate, systematic context of the market environment, which is crucial because trading strategies (like mean-reversion vs. trend-following) only perform well when aligned with the correct market state.
1. Trend Regime Classification (Directional Bias)
The indicator evaluates moving average alignments to determine the structural trend. It requires both price position and momentum to agree before declaring a strong trend:
Bull: The closing price is strictly above a long-term baseline (200 SMA) AND short-term momentum (20 SMA) is leading the medium-term momentum (100 SMA).
Bear: The closing price is below the 200 SMA AND the 20 SMA has crossed below the 100 SMA.
Sideways: Any state where the price and moving averages are in conflict or tangled.
Visuals: The chart bars are painted dynamically (Green for Bull, Red for Bear, Golden for Sideways) so the current regime is instantly visible.
2. Volatility Regime Classification (Market Speed)
Instead of using fixed point values to measure volatility (which break down across different timeframes and assets), the indicator uses an Adaptive Z-Score of the Average True Range (ATR). By looking back over a large sample size (250 periods), it calculates a rolling mean and standard deviation of the ATR. This normalizes volatility into a universal metric:
Quiet (Z-Score < -0.5): The market is contracting and experiencing significantly below-average movement.
Normal (Z-Score -0.5 to 0.5): The market is operating within its standard, expected historical variance.
Volatile (Z-Score > 0.5): The market is expanding, experiencing statistically significant, out-sized movement.
3. The Statistics Dashboard
The script anchors a real-time statistical dashboard to the chart. It tallies the exact number of bars—and calculates the overall historical percentage—spent in each specific trend and volatility regime.
What this does for PulseWire users:
Strategy Alignment: By quantifying exactly how much time an asset spends trending versus chopping sideways, traders can objectively decide whether to deploy a trend-following system or a range-bound strategy on that specific asset.
Contextual Awareness: The adaptive Z-score prevents users from being caught off guard by volatility expansion, giving them a mathematical warning when the market shifts from "Quiet" accumulation into "Volatile" distribution.
Backtesting Validation: The on-chart percentages give quantitative traders immediate insight into the asset's structural personality over the loaded history (e.g., realizing an asset is only in a "Strong Bull" state 25% of the time helps set realistic win-rate expectations). Indicator
Indicator
Absorption BubblesAbsorption Bubbles
Chart example (how to read it)
Green and red bubbles highlight candles with unusually high relative volume where price action suggests rejection (potential absorption) rather than clean continuation. Horizontal lines mark strong reaction levels and remain visible to track future retests/mitigation. The top-right table summarizes the current volume environment: Session RVOL (today vs average), Bar RVOL (current bar vs normal), Efficiency (volume-to-movement proxy), and an ATR-based stop distance (volatility reference).
This indicator helps you interpret relative volume participation and price reaction to highlight potential absorption / rejection areas without requiring Level 2 (order book) data.
What it does
1. Absorption Bubbles: Marks candles where volume is meaningfully higher than normal (relative volume) and where price action suggests a rejection rather than clean acceptance.
2. Persistent Zones (optional): When a strong event is detected, the script can draw a horizontal level/zone that remains on the chart to track retests and mitigation.
3. Volume Regime Table: Displays session and bar relative volume to quickly gauge whether the market is operating in a low-, normal-, or high-liquidity environment.
4. ATR Stop (RMA): Provides an ATR-based stop distance to standardize risk under changing volatility.
Why it’s useful
1. Helps identify moments when participation increases and price either rejects (often associated with absorption/defense) or moves efficiently (often associated with continuation).
2. Adds context to decide whether conditions are more likely choppy/rotational or trending/displacing, using volume and volatility proxies.
3. Keeps key reaction levels visible via zones, making retests easier to track.
How to use it
1. Start with the table:
: Higher Session RVOL generally means more liquidity and potentially better follow-through.
: Higher Bar RVOL highlights unusually active candles.
2. Focus bubbles around key locations:
Use bubbles as confirmation near important levels (session highs/lows, prior day levels, HTF
zones, obvious liquidity pools). Avoid treating mid-range bubbles as standalone signals.
3. Use zones as decision levels (if enabled):
Watch for clean rejection from the zone, or a decisive body break and retest for
continuation.
4.Use ATR Stop as a volatility reference:
Multiply the ATR value to match your risk model and instrument volatility.
Settings guidance
1. Increase RVOL thresholds to reduce noise (fewer, higher-quality signals).
2. Decrease thresholds to catch more frequent micro-events (more signals, more false positives).
3. Adjust lookbacks based on timeframe and instrument.
Limitations
1. This script does not use bid/ask delta or full order book information.
2. “Absorption” is inferred from volume + candle behavior, so signals should be used as confluence, not as a standalone trading system. Indicator
VWAP SAR Magnitude Filter [Gabremoku]VWAP SAR Magnitude Filter
Short description
A state-based long-only trend filter that combines VWAP context with Parabolic SAR structure. It uses VWAP as the main trend and invalidation line, while SAR confirms directional pressure and helps visualize momentum expansion or compression.
Descrizione completa
VWAP SAR Magnitude Filter is a long-only overlay designed to turn two familiar tools, VWAP and Parabolic SAR, into a cleaner operational framework rather than a simple indicator mashup.
The script uses VWAP as the primary market context and invalidation line. When price is above VWAP, the market is treated as having bullish intraday or swing context. When price falls back below VWAP, that context weakens and the script can trigger an exit.
Parabolic SAR is not used here as the primary exit engine. Instead, it acts as a structural confirmation tool. A valid long setup requires price to be above VWAP while SAR remains below the candle, which helps align directional bias and price structure. This reduces the number of signals that would appear if VWAP or SAR were used independently.
The script also includes an Auto mode engine. In Auto mode, lower intraday timeframes are handled with faster behavior, while higher timeframes are treated as swing conditions with additional filters. This makes the indicator adapt its sensitivity without requiring constant manual switching.
In Swing mode, the script becomes more selective by requiring:
persistence of the long condition for a minimum number of bars,
a minimum distance between price and SAR,
confirmed exit behavior below VWAP,
a longer cooldown after exits.
This approach is intended to reduce noise and avoid frequent re-entries during unstable or sideways phases. The indicator is therefore more focused on readable continuation structure than on generating many raw signals.
How it works
Long context: Price above VWAP.
Long confirmation: Parabolic SAR below the candle.
Long entry: The bullish context and structural confirmation align.
Exit logic: Main exit occurs on VWAP fallback; in Swing mode the fallback can require confirmation across multiple bars.
Mode engine: Auto selects Intraday or Swing behavior depending on the chart timeframe.
Visual features
VWAP line as the main reference level.
SAR line and glow for directional structure.
Magnitude fill between price and SAR to visualize pressure expansion and compression.
Optional bar coloring.
Dashboard with State, Mode, Regime, Flow, Distance %, SAR Side, and Exit Logic.
How to use it
This indicator works best when price is developing directional structure away from VWAP. In strong trends, it can help frame cleaner long continuation behavior. In choppy or sideways markets around VWAP, noise is naturally higher because the market lacks clear directional context.
A practical way to use it is:
monitor whether price is holding above VWAP,
wait until SAR is also positioned below price,
use the dashboard to confirm the current regime and state,
treat VWAP fallback as the main warning that the active long structure may be weakening.
Limitations
This indicator is not meant to eliminate all noise, especially in lateral environments where price oscillates around VWAP. In those conditions, repeated context shifts are part of market behavior, so no VWAP-based trend tool can remove all false transitions. The script is designed to reduce that noise, not to make it disappear completely.
It is also a context and structure tool, not a complete trading system. Users should still evaluate market conditions, liquidity, session behavior, and personal risk management before making decisions. Indicator
Volatility Regime OscillatorVolatility Regime Oscillator
OVERVIEW
A 0-100 oscillator confined to the one thing volatility truly does: measure and manage risk. It forecasts how large moves are likely to be, places that forecast on a self-normalising 0-100 percentile scale (calm → extreme), and reports the position-size multiplier a volatility-targeting approach would call for. You read it next to your own method and size accordingly. It places no orders, gives no entry/exit signals, and takes no view on direction. Volatility's only job here is how big, never which way — that restraint is the whole design.
WHY THESE METHODS BELONG IN ONE SCRIPT (mashup rationale)
This is not a folder of separate volatility studies — it is one pipeline, and each stage feeds the next:
Estimate. Range-based estimators (Yang-Zhang, Garman-Klass, Rogers-Satchell, Parkinson) measure realised volatility far more efficiently than close-to-close; combining them is more robust out-of-sample than trusting any single one.
Forecast. A HAR multi-horizon blend (with an optional measurement-error correction that shifts weight off the noisy fast term), EWMA, or window mean turns that estimate forward.
Character. Good/bad semivariance and vol-of-vol report whether the move is downside-driven and whether the volatility itself is stable — context a single number can't carry.
Regime. A percentile rank converts the forecast into a self-normalising 0-100 read, so the same calm/normal/high/extreme bands work on any symbol or timeframe.
Size. Volatility targeting turns the forecast into an exposure multiplier — blended toward constant exposure and gated down in extremes, the robust drawdown-reducing form.
A forecaster without a regime frame is just a number; a regime read without sizing is just a gauge; sizing without the de-risk gates is the naive targeting the research shows underwhelms. Chained, they answer one question end to end: how big is risk now, and what does that imply for size? Remove a stage and the chain breaks.
HOW IT IS DIFFERENT FROM A PLAIN VOLATILITY FORECASTER
Most volatility tools answer "what will volatility be?" This one answers "where does volatility sit, and how much should I size?" The forecast is only the input; the output is a regime percentile plus a position-sizing multiplier — vol targeting, conditional targeting, a managed/constant blend, downside scaling, and an optional stress gate — wrapped in a risk-management frame. It is a sizing and regime gauge, not a forecasting study.
HOW TO USE
Oscillator 0-100 = where current forecast vol sits in its own history (percentile). Bands: <25 calm, 25-65 normal, 65-90 high, ≥90 extreme.
Dotted marker = where your target vol sits in that distribution. Line above the marker = vol above target → size down; below = room to size up.
Suggested exposure (dashboard) = the vol-target multiplier of equity a long would use now (1.0× = 100%). Apply it to your own side.
Optional expected-move envelope on the price chart shows the size of the likely move (for stop placement) — symmetric, regime-coloured, never a direction or target.
UNIVERSAL ACROSS MARKETS
The estimators read OHLC, so it runs on any instrument and timeframe out of the box. An optional Analyse symbol input reroutes the calculation to a different instrument than the one charted. Annualisation is derived from the chart timeframe by default (so the forecast-vol % and the target marker read sensibly on any timeframe), with a manual bars-per-year override available. The India VIX stress gate is OFF by default because it reads an India-specific implied-vol symbol that would mislead on other markets — turn it on only for NIFTY / BANKNIFTY.
ACCURACY — AN HONEST NOTE
This contains the most advanced volatility methods genuinely computable from price bars. It does not and cannot contain the options-data frontier — rough-volatility calibration (rough Heston / fractional Brownian), deep-learning forecasters, or implied-vol-surface models — none of which run on chart OHLC. Even at its best, realised-vol forecasting explains only a minority of realised-vol variance. Treat this as a sharper estimate and a disciplined risk gauge, not a precise or certain forecast. The "suggested exposure" is context for your own risk process, not an instruction; the research is explicit that full vol-targeting often fails to beat constant exposure out of sample — the keepable part is tail/drawdown reduction, which is why sizing is blended toward constant exposure by default.
ORIGINALITY
The individual methods are public and credited below. The original work is the assembly: a single self-normalising oscillator that chains efficient range estimators → a measurement-error-corrected HAR forecast → a semivariance/vol-of-vol character read → a percentile regime → a blended, gated volatility-targeting exposure, with a regime-coloured expected-move envelope — a risk-and-sizing gauge rather than a forecast or a directional signal. No third-party Pine code is reused.
CONCEPT CREDIT
Volatility estimators — M. Parkinson (1980); Garman & Klass (1980); Rogers & Satchell (1991); Yang & Zhang (2000). HAR forecaster — Fulvio Corsi (2009); measurement-error (HARQ) correction — Bollerslev, Patton & Quaedvlieg (2016). EWMA / RiskMetrics — J.P. Morgan (1996). Good/bad realised semivariance — Barndorff-Nielsen, Kinnebrock & Shephard; Patton & Sheppard (2015). Path-dependent leverage effect — Julien Guyon & Jordan Lekeufack (2023). Volatility targeting / conditional targeting — Moreira & Muir (2017); Harvey et al. (2018); robustness caveats — Cederburg et al. (2020); Wang & Yan (2021). Assembly, oscillator framing, regime bands and the target marker are the author's own work. Not affiliated with, nor endorsed by, any third party.
DISCLAIMER
Educational risk-management gauge. NOT financial advice, NOT a signal, and NO guarantee of any outcome. Estimates from price can be wrong, especially through structural breaks and on low-history symbols. Trading carries risk of loss. Do your own research and manage your own risk. The author accepts no liability for any use of this script. Indicator
Sweep Reclaim Entry Engine [trade_w_samet]🎯 Sweep Reclaim Entry Engine
Sweep Reclaim Entry Engine is a structured liquidity-sweep and reclaim analysis indicator designed to help traders study confirmed swing levels, controlled liquidity penetrations, reclaim strength, setup quality, directional alignment, and visual risk/reward models directly on the price chart.
This script focuses on one main concept:
Confirmed swing sweep and reclaim-based entry visualization.
It is not designed to mark every wick beyond every nearby high or low.
It is not designed to treat every penetration as a valid liquidity sweep.
It is not designed to create constant buy/sell labels.
Instead, the goal of Sweep Reclaim Entry Engine is to confirm structural swing levels, monitor their lifecycle, detect controlled penetrations beyond those levels, validate directional reclaims, apply configurable quality and market filters, and visualize accepted setups using one Entry level, one protective Stop Loss level, and one configurable risk/reward target.
The indicator includes:
• Confirmed swing-high and swing-low detection
• Reactive, Balanced, Structural, and Custom swing modes
• ATR-normalized level merging and proximity logic
• Fresh, Armed, Swept, Reclaimed, and Consumed level states
• Wick Only, Wick or Body, and Body Required sweep modes
• Minimum and maximum ATR-normalized sweep-depth filters
• First-penetration-only logic
• Multi-level sweep selection
• Dual-side sweep protection
• Same Candle, Fast, Flexible, and Custom reclaim windows
• Loose, Balanced, Strict, and Custom reclaim-strength modes
• Reclaim close-buffer, close-location, body-strength, and wick-rejection checks
• A transparent 0–100 setup-quality score
• A+, A, and B setup grades
• Loose, Balanced, Strict, and Custom quality-filter modes
• Relative-volume quality context
• Highest Quality and Nearest Level candidate-selection modes
• Direction, cooldown, cluster, duplicate-bar, and opposite-conflict controls
• Chart EMA, confirmed higher-timeframe EMA, and Combined EMA bias
• Optional volatility and market-efficiency filtering
• Entry ATR and Sweep Extreme stop-loss models
• A configurable 0.25R to 15R target
• One-active-trade-at-a-time logic
• Stop First and Target First same-bar assumptions
• Active TP / SL boxes and Entry / TP / SL lines
• SL-specific visual cleanup
• Important-only sweep-label filtering
• Full, Clean, Minimal, and Mobile chart profiles
• Full, Compact, Trade Only, and Off dashboard modes
• Adjustable marker, label, result, and dashboard sizes
• Crimson, Ice Blue, Monochrome, and fully custom colors
• Static PulseWire alert conditions
• Optional dynamic alert() messages
• Compact bottom-right dashboard
• Confirmed-close permanent signals
• Confirmed higher-timeframe data handling
The purpose of this script is to help users visually study where a confirmed swing-level sweep is followed by a qualified directional reclaim.
It should be treated as a chart-analysis and educational decision-support tool.
It is not financial advice.
It is not an automated trading system.
It does not guarantee profitable trades.
It does not execute broker orders.
It does not replace personal analysis, risk management, or trade validation.
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📌 OVERVIEW
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At a high level, Sweep Reclaim Entry Engine does the following:
• Detects confirmed bullish and bearish swing pivots.
• Stores accepted swing highs and swing lows in separate internal level memories.
• Prevents near-duplicate levels using ATR-based merge tolerance.
• Tracks whether each level is Fresh, Armed, Swept, Reclaimed, or Consumed.
• Arms a level when price moves within the selected ATR distance.
• Detects a new penetration beyond an eligible swing level.
• Measures penetration depth relative to ATR.
• Classifies the sweep as wick-based or body-based.
• Applies minimum depth, maximum depth, first-interaction, multi-level, and dual-side rules.
• Moves the accepted level into the Swept state.
• Waits for price to reclaim the level within the selected reclaim window.
• Checks reclaim close buffer, close location, candle body strength, candle direction, and wick rejection.
• Calculates a 0–100 setup-quality score.
• Assigns an internal A+, A, or B grade.
• Applies the selected minimum-quality requirement.
• Compares multiple eligible reclaim candidates.
• Applies direction, trend-bias, market, cooldown, clustering, duplicate, and conflict rules.
• Confirms final BUY and SELL reclaim signals only after candle close.
• Projects Entry, Stop Loss, and one configurable take-profit target.
• Maintains one active visual trade model at a time.
• Tracks TP and SL events after the entry candle.
• Applies the selected same-candle TP / SL assumption.
• Preserves successful models when historical display is enabled.
• Deletes failed-model boxes, lines, and original signal labels after SL.
• Leaves only a small CLOSED SL HIT label for failed models.
• Displays engine, bias, quality, signal, and trade information in the bottom-right dashboard.
• Provides sweep, signal, grade, trade-open, TP, and SL alerts.
The script is intentionally built as a structured sequence.
It does not include machine-learning prediction.
It does not claim that every sweep will reverse.
It does not treat the quality score as a probability.
It provides a transparent way to study confirmed swing sweeps, directional reclaims, and their visual trade lifecycle.
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🧠 CORE IDEA
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The core idea behind Sweep Reclaim Entry Engine is based on the difference between a liquidity penetration and a confirmed reclaim.
A sweep occurs when price trades beyond a previously confirmed swing high or swing low.
A reclaim occurs when price returns through that level and closes with enough directional strength to satisfy the active rules.
The engine does not treat the sweep itself as an entry.
Instead, it separates the process into distinct stages:
Confirmed swing
→ managed level
→ level approach
→ valid penetration
→ sweep classification
→ reclaim window
→ reclaim confirmation
→ quality scoring
→ final filtering
→ confirmed entry model
For a bullish setup, the engine studies a penetration below a confirmed swing low and a later close back above that level.
For a bearish setup, the engine studies a penetration above a confirmed swing high and a later close back below that level.
The reclaim can occur on the same candle or within a configurable number of bars.
The final setup can then be evaluated using:
• sweep depth
• reclaim close quality
• wick rejection
• candle-body strength
• level freshness
• relative volume
• displacement
• market condition
• level cleanliness
• chart EMA alignment
• confirmed higher-timeframe EMA alignment
• cooldown and cluster rules
• opposite-signal conflict handling
The goal is not to maximize signal quantity.
The goal is to create an understandable process that explains how a stored swing level becomes a sweep candidate, how that sweep becomes a reclaim candidate, and how the final entry model is accepted or rejected.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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Sweep Reclaim Entry Engine is not intended to be used as a blind buy/sell system.
The script is structured as a visual review workflow:
A pivot becomes confirmed
→ the swing level is stored
→ duplicate levels are filtered
→ price approaches the level
→ the level becomes Armed
→ price creates a new penetration
→ penetration type and depth are validated
→ the level becomes Swept
→ the reclaim window opens
→ reclaim strength is evaluated
→ a quality score is calculated
→ the setup receives a grade
→ eligible candidates are compared
→ execution filters are checked
→ the signal must remain valid at candle close
→ Entry, SL, and TP are projected
→ the active model is monitored
→ the model closes at TP or SL
→ the visual result is archived or cleaned
Each stage serves a specific purpose.
The confirmed-pivot engine defines the structural reference.
The level-memory engine prevents the script from treating all historical highs and lows as permanently active.
The Armed state separates a distant level from a level that price is actively approaching.
The sweep engine distinguishes a controlled penetration from a deep breakout.
The reclaim engine defines what qualifies as a directional return through the level.
The quality engine combines several independent setup characteristics.
The execution engine prevents clustered, duplicate, conflicting, or bias-opposed entries.
The trade model standardizes the visual Entry, risk, and reward references.
The dashboard explains the engine state and active model.
This makes the script a structured sweep-reclaim analysis tool, not a guaranteed signal generator.
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⚙️ HOW THE SCRIPT WORKS
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The script operates through several connected systems.
First, it confirms swing highs and swing lows using the selected pivot sensitivity.
Reactive mode uses shorter pivot lengths.
Balanced mode uses medium pivot lengths.
Structural mode uses wider pivot lengths and is the default.
Custom mode allows manual left-side and right-side pivot lengths.
float confirmedSwingHigh = ta.pivothigh(high, swingLeft, swingRight)
float confirmedSwingLow = ta.pivotlow(low, swingLeft, swingRight)
int confirmedHighBar = bar_index - swingRight
int confirmedLowBar = bar_index - swingRight
After confirmation, accepted swing levels are stored in separate high-side and low-side arrays.
Each level stores contextual information including:
• level price
• original pivot bar
• lifecycle state
• interaction count
• sweep bar
• sweep depth
• sweep extreme
• sweep type
• reclaim bar
• visual line reference
When price approaches a stored level, the level can move from Fresh to Armed.
When price creates a new penetration beyond the level, the engine checks:
• penetration mode
• minimum ATR depth
• maximum ATR depth
• first-attempt permission
• multi-level selection
• dual-side sweep protection
f_isValidHighSweep(float levelPrice, int attempts) =>
float depthATR = (high - levelPrice) / safeATR
int kind = f_highSweepKind(levelPrice)
bool depthValid = depthATR >= minSweepDepthATR and depthATR <= effectiveMaxSweepDepthATR
bool attemptValid = not firstInteractionOnly or attempts == 0
bool valid = f_isNewHighPenetration(levelPrice) and depthValid and attemptValid and f_modeAcceptsKind(kind)
valid
f_isValidLowSweep(float levelPrice, int attempts) =>
float depthATR = (levelPrice - low) / safeATR
int kind = f_lowSweepKind(levelPrice)
bool depthValid = depthATR >= minSweepDepthATR and depthATR <= effectiveMaxSweepDepthATR
bool attemptValid = not firstInteractionOnly or attempts == 0
bool valid = f_isNewLowPenetration(levelPrice) and depthValid and attemptValid and f_modeAcceptsKind(kind)
valid
A valid sweep moves the level into the Swept state.
The reclaim engine then waits for price to close back through the level within the selected window.
The reclaim must pass every enabled strength requirement.
The accepted candidate receives a quality score and grade.
If more than one candidate qualifies, the active Candidate Selection mode chooses the final candidate.
The final signal must also pass direction, bias, market, cooldown, cluster, duplicate-bar, and conflict rules.
Only after the bar closes with all conditions still valid can the permanent BUY or SELL reclaim signal and visual trade model appear.
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🟢 BULLISH SWEEP RECLAIM LOGIC
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A bullish sweep-reclaim setup begins with a confirmed swing low.
The swing low must be stored and remain eligible.
Price can then move close enough to place the level in the Armed state.
A bullish sweep is created when price penetrates below the swing-low level and the penetration satisfies the active sweep rules.
The engine may require:
• a wick-only penetration
• a wick or body penetration
• body participation beyond the level
• a minimum ATR-normalized depth
• a maximum ATR-normalized depth
• the first valid penetration attempt
• selection as the nearest valid level
• no simultaneous high-side sweep
After the low-side sweep, the bullish reclaim must occur inside the selected reclaim window.
The reclaim can require:
• a close above the swept level
• an ATR-based close buffer above the level
• a high close location inside the candle
• minimum body strength relative to ATR
• a bullish candle body when enabled
• minimum lower-wick rejection for same-candle reclaims
• a final score above the active quality threshold
• permission from the selected signal direction
• bullish chart and/or HTF EMA alignment
• permission from the active market-condition filter
• cooldown and cluster permission
• no stronger bearish conflict
f_isValidLowReclaim(int index) =>
bool valid = false
if index >= 0 and index < array.size(lowPrices) and barstate.isconfirmed
int state = array.get(lowStates, index)
int sweepBar = array.get(lowSweepBars, index)
if state == STATE_SWEPT and sweepBar >= 0
float levelPrice = array.get(lowPrices, index)
int barsAfterSweep = bar_index - sweepBar
bool windowPass = barsAfterSweep >= 0 and barsAfterSweep <= reclaimWindowBars
bool closePass = close >= levelPrice + safeATR * reclaimCloseBufferATR
bool locationPass = f_bullCloseLocation() >= reclaimCloseLocationThreshold
bool bodyPass = f_bodyATR() >= reclaimBodyStrengthATR
bool directionPass = not requireDirectionalCandle or close > open
bool sameBar = barsAfterSweep == 0
bool wickPass = not requireSameCandleWick or not sameBar or f_lowerWickRatio() >= reclaimWickThreshold
valid := windowPass and closePass and locationPass and bodyPass and directionPass and wickPass
valid
When every enabled rule passes at candle close, the script displays a BUY RECLAIM label.
If the visual trade model is enabled and no trade is active, the setup creates:
• Entry at the confirmed signal-bar close
• Stop Loss below entry or below the sweep extreme
• TP above entry
• blue/cyan reward box
• red risk box
• thick white Entry line
• blue TP line
• red SL line
This does not mean price must continue upward.
It means the configured bullish sweep-reclaim conditions were confirmed at the close of that candle.
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🔴 BEARISH SWEEP RECLAIM LOGIC
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A bearish sweep-reclaim setup begins with a confirmed swing high.
The swing high must be stored and remain eligible.
Price can then move close enough to place the level in the Armed state.
A bearish sweep is created when price penetrates above the swing-high level and the penetration satisfies the active sweep rules.
The engine may require:
• a wick-only penetration
• a wick or body penetration
• body participation beyond the level
• a minimum ATR-normalized depth
• a maximum ATR-normalized depth
• the first valid penetration attempt
• selection as the nearest valid level
• no simultaneous low-side sweep
After the high-side sweep, the bearish reclaim must occur inside the selected reclaim window.
The reclaim can require:
• a close below the swept level
• an ATR-based close buffer below the level
• a low close location inside the candle
• minimum body strength relative to ATR
• a bearish candle body when enabled
• minimum upper-wick rejection for same-candle reclaims
• a final score above the active quality threshold
• permission from the selected signal direction
• bearish chart and/or HTF EMA alignment
• permission from the active market-condition filter
• cooldown and cluster permission
• no stronger bullish conflict
When every enabled rule passes at candle close, the script displays a SELL RECLAIM label.
If the visual trade model is enabled and no trade is active, the setup creates:
• Entry at the confirmed signal-bar close
• Stop Loss above entry or above the sweep extreme
• TP below entry
• blue/cyan reward box
• red risk box
• thick white Entry line
• blue TP line
• red SL line
This does not mean price must continue downward.
It means the configured bearish sweep-reclaim conditions were confirmed at the close of that candle.
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💎 SWEEP RECLAIM QUALITY FILTER SYSTEM
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The script includes a multi-component quality system to reduce low-context reclaim signals.
This is important because not every sweep has the same structural meaning and not every reclaim candle has the same directional strength.
The quality engine evaluates eight components:
Sweep Depth — maximum 15 points
Measures where the penetration sits inside the active minimum-to-maximum sweep range.
The score favors a controlled sweep depth rather than automatically rewarding the deepest penetration.
Reclaim Close — maximum 20 points
Measures the directional location of the candle close.
A bullish setup receives more points when the reclaim closes near the top of the candle.
A bearish setup receives more points when the reclaim closes near the bottom.
Wick Rejection — maximum 15 points
Measures the directional rejection wick.
For multi-bar reclaims, the engine can also consider the stored sweep type and current reclaim structure.
Level Freshness — maximum 10 points
Newer levels generally receive more freshness points than levels that have remained active for a long time.
Relative Volume — maximum 10 points
Compares current volume with the selected baseline length.
When useful volume is not available, the engine avoids treating the setup as automatically invalid.
Displacement — maximum 15 points
Combines candle-body strength and the distance reclaimed through the level.
Market Condition — maximum 10 points
Uses candle range and ATR-regime information.
Level Cleanliness — maximum 5 points
Rewards levels with fewer prior interaction attempts.
The total is rounded and limited to 0–100.
float qualityScore = math.min(100.0, math.max(0.0, math.round(
sweepScore + closeScore + wickScore + freshnessScore +
volumeScore + displacementScore + marketScore + cleanlinessScore
)))
The quality score is not a win probability.
It is not a verified accuracy percentage.
It is an internal measurement of how closely the completed setup matches the selected structural rules.
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📏 SWEEP / ATR FILTER
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The sweep-depth filter measures the penetration beyond a swing level relative to ATR.
For a high-side sweep:
Sweep Depth = (High − Swing High) / ATR.
For a low-side sweep:
Sweep Depth = (Swing Low − Low) / ATR.
Minimum Sweep Depth rejects penetrations that may be too small to represent a meaningful liquidity event.
Maximum Sweep Depth rejects penetrations that may be too deep to represent a controlled sweep and may instead behave more like a breakout.
The default values are:
Minimum Sweep Depth = 0.05 ATR.
Maximum Sweep Depth = 0.80 ATR.
ATR normalization allows the threshold to adapt to changing volatility.
A 0.20 ATR sweep represents a relative move rather than a fixed number of points.
This helps the engine operate across different price scales.
However, ATR normalization does not make one configuration universally suitable.
A symbol with session gaps, irregular volume, or unusual volatility can still behave differently from another market.
A deeper sweep is not automatically a better setup.
Sweep depth is only one component of the complete reclaim process.
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🕯️ DISPLACEMENT QUALITY FILTER
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The displacement component evaluates whether the reclaim candle moves with enough directional force.
The engine considers:
• candle-body size relative to ATR
• distance closed beyond the reclaimed level
• bullish or bearish directional recovery
For bullish setups, stronger displacement generally means:
• a larger bullish body
• a close further above the reclaimed swing low
For bearish setups, stronger displacement generally means:
• a larger bearish body
• a close further below the reclaimed swing high
Reclaim Strength Mode can also impose a minimum body-size requirement before the setup reaches the quality-scoring stage.
Loose mode allows smaller directional bodies.
Balanced mode uses moderate requirements.
Strict mode requires stronger completed-candle behavior.
Custom mode exposes the manual threshold.
Displacement is not used as a prediction.
It is used to measure whether the completed reclaim candle demonstrates the selected degree of directional response.
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📊 REACTION STRENGTH FILTER
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The reaction-strength layer evaluates the candle that confirms the reclaim.
The active rules can include:
• close through the swept level
• ATR-based close buffer
• directional close location
• body strength relative to ATR
• bullish or bearish candle direction
• same-candle rejection wick
Reclaim Strength Mode provides:
Loose
Uses lower close-buffer, close-location, body-strength, and wick-rejection requirements.
Balanced
Uses moderate thresholds.
Strict
Uses the strongest built-in thresholds and is the default.
Custom
Uses the manual values selected by the user.
Strict mode applies:
• 0.05 ATR reclaim close buffer
• 0.70 directional close-location threshold
• 0.15 ATR minimum body strength
• 0.28 same-candle wick-rejection ratio
Require Directional Candle Body can additionally require:
• close above open for bullish reclaims
• close below open for bearish reclaims
Require Same-Candle Wick Rejection applies the wick requirement when the sweep and reclaim occur on the same candle.
The reaction-strength system is designed to distinguish a simple touch from a stronger completed directional response.
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🧼 CONFIRMED RECLAIM FILTER
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The reclaim layer requires the setup to remain valid at candle close.
Available reclaim windows include:
Same Candle
The penetration and reclaim must complete on the same candle.
Fast
The reclaim can occur on the sweep candle or the next candle.
Flexible
The reclaim can occur within three bars and is the default.
Custom
The user selects the maximum number of bars.
The engine stores the sweep bar and compares the current bar with the allowed reclaim window.
The sweep state timeout is automatically prevented from becoming shorter than the active reclaim window.
A reclaimed setup can also be blocked by:
• insufficient close buffer
• weak close location
• weak candle body
• missing directional body
• missing same-candle wick rejection
• low quality score
• direction restriction
• chart EMA misalignment
• higher-timeframe EMA misalignment
• market-condition failure
• active-trade restriction
• cooldown
• same-direction clustering
• duplicate-bar protection
• opposite-direction conflict
Final permanent BUY and SELL signals require confirmed-bar logic.
This means an unfinished realtime candle can temporarily trade beyond a level, but it does not become a permanent reclaim signal unless the conditions remain valid when the bar closes.
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🎯 ENTRY MODEL
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When a final BUY or SELL reclaim signal passes every enabled condition, the script can create a visual entry model.
The Entry reference is the close of the confirmed signal candle.
The engine stores:
• trade direction
• entry bar
• entry price
• stop price
• risk distance
• selected RR
• target price
• setup quality
• setup grade
The trade model opens only when:
• Enable Trade Model is active
• no visual trade is already active
• the final reclaim signal is confirmed
• the calculated risk distance is larger than the symbol’s minimum tick
• same-bar reopening is permitted when the previous model closed on the same candle
if enableTradeModel and not tradeActive and (allowSignalOnExitBar or not tradeClosedThisBar)
if buyReclaimSignal
float sweepExtreme = array.get(lowSweepExtremes, selectedLowReclaimIndex)
float candidateStop = stopLossMode == "Entry ATR Multiplier" ?
close - safeATR * stopATRMultiplier :
sweepExtreme - safeATR * stopBufferATR
float candidateRisk = close - candidateStop
The entry model is a visual analysis reference.
It is not a broker market order.
It does not include spread, slippage, commission, latency, or partial fills.
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🛑 ATR STOP-LOSS MODEL
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The script includes two stop-placement models.
Entry ATR Multiplier
For BUY setups:
Stop = Entry − ATR × multiplier.
For SELL setups:
Stop = Entry + ATR × multiplier.
This is the default mode.
The default Entry ATR Stop Multiplier is 2.00 ATR.
The multiplier can be adjusted from 0.10 to 15.00.
Sweep Extreme + ATR Buffer
For BUY setups:
Stop = stored low-side sweep extreme − ATR buffer.
For SELL setups:
Stop = stored high-side sweep extreme + ATR buffer.
The default Sweep-Extreme Buffer is 0.10 ATR.
float candidateStop = stopLossMode == "Entry ATR Multiplier" ?
close - safeATR * stopATRMultiplier :
sweepExtreme - safeATR * stopBufferATR
The selected stop determines the visual risk distance.
That risk distance also determines the take-profit distance.
The displayed stop is a planning reference only.
It does not place or manage a broker stop order.
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🎯 TAKE-PROFIT RR MODEL
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The script uses one configurable take-profit target.
The target is calculated from the distance between Entry and Stop Loss.
For BUY models:
TP = Entry + Risk × RR.
For SELL models:
TP = Entry − Risk × RR.
The Risk / Reward Target can be adjusted from:
0.25R to 15.00R.
The default is 2.00R.
activeTradeRisk := candidateRisk
activeTradeRR := tradeRiskReward
activeTradeTarget := close + candidateRisk * tradeRiskReward
The displayed RR controls the geometric distance of the projected target.
It does not represent a performance claim.
It does not guarantee that price will reach the target.
Changing the stop model or stop multiplier changes the target distance because both levels are based on the same initial risk.
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📦 ACTIVE TP / SL BOX SYSTEM
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When a confirmed reclaim model opens, the script can draw:
• blue/cyan TP box
• red SL box
• thick white Entry line
• blue TP line
• red SL line
• BUY RECLAIM or SELL RECLAIM label
The active boxes and lines extend to the right as new candles appear.
The Entry line is intentionally pure white and visually thicker than the TP and SL references.
When TP is reached:
• the trade model closes
• active boxes and lines stop at the closing bar
• the TP result label appears
• completed visuals can remain when Show Historical Trades is enabled
• completed visuals can be faded using Completed Trade Transparency
When SL is reached:
• the TP box is deleted
• the SL box is deleted
• the Entry line is deleted
• the TP line is deleted
• the SL line is deleted
• the original BUY or SELL signal label associated with that trade is deleted
• only a small CLOSED SL HIT label remains
This SL-specific cleanup keeps failed models visually concise.
The active trade model is educational and bar-based.
It does not simulate real broker execution.
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🚦 ONE ACTIVE TRADE AT A TIME
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The script includes one-active-trade-at-a-time logic.
If a visual trade model is active, the engine does not open another trade model until the current model closes.
Block Signals During Active Trade can also prevent new final signal labels from being accepted while the active model is open.
Allow New Signal on Exit Bar controls whether a new model can open on the same candle that closes the current model.
The default is disabled.
This design separates:
• market-level calculation
• sweep and reclaim detection
• permission to create a new trade model
The engine can continue updating structural levels and market context while a model is active.
However, the one-active-model rule prevents overlapping TP / SL boxes and conflicting lifecycle states.
This is a visual-management rule.
It is not a restriction on the user’s personal trading activity.
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⚠️ SAME-CANDLE TP / SL HANDLING
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The script begins checking TP and SL after the entry candle.
If both TP and SL are touched on the same later candle, standard OHLC data does not reveal the actual intrabar sequence.
The script therefore provides two selectable assumptions:
Stop First
The stop is processed before the target.
This is the default and more conservative assumption.
Target First
The target is processed before the stop.
This is the more optimistic assumption.
Neither option reproduces exact tick-level broker execution.
The model does not include:
• bid/ask spread
• slippage
• order latency
• partial fills
• queue priority
• execution venue rules
• intrabar tick order
Same-candle handling is a modeling choice required by the limits of standard bar data.
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🏷️ SWEEP RECLAIM LABELS
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The script uses separate labels for sweep events, reclaim signals, and trade results.
Sweep labels can display:
SWEEP HIGH
or:
SWEEP LOW
The Sweep Label Filter can show:
Important Only
Only sweeps that meet the active importance threshold receive visible labels.
All Valid
Every accepted sweep can receive a visible label.
The default Minimum Sweep Importance is 65.
BUY and SELL reclaim labels can use three display styles:
Full
Example:
▲ A+ BUY RECLAIM ▲
QUALITY • 87/100
or:
▼ A+ SELL RECLAIM ▼
QUALITY • 84/100
Compact
Displays a shorter direction, grade, and score format.
Icon
Displays a minimal directional icon and optional score.
Show Grade on Signal Labels controls A+, A, or B display.
Show Score on Signal Labels controls the 0–100 score display.
All dynamic label text uses bold and italic formatting.
Independent size controls are available for:
• sweep labels
• BUY / SELL signal labels
• TP / SL result labels
• confirmed pivot triangle markers
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📍 SWING LEVEL DISPLAY MODES
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The indicator includes several level-display modes.
All Active
Displays eligible Fresh, Armed, Swept, and Reclaimed swing levels according to the active color and line-style rules.
Armed + Events
Focuses on Armed, Swept, and Reclaimed levels.
Events Only
Shows levels primarily when a sweep or reclaim event has occurred.
Hidden
Keeps the level engine active while removing swing-level lines from the chart.
Level Line Style provides:
Adaptive
Changes the line appearance according to level state.
Solid
Uses solid lines.
Dashed
Uses dashed lines.
Dotted
Uses dotted lines.
Show Swing-High Levels and Show Swing-Low Levels can independently control each side.
Fade Older Levels can reduce the opacity of older stored levels.
Level Width controls line thickness.
The display mode affects chart presentation only.
It does not change the underlying sweep and reclaim calculations.
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🧹 LEVEL INVALIDATION
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Stored levels do not remain eligible forever.
A level can be removed or retired because:
• it exceeds Maximum Level Age
• a confirmed breakout exceeds the allowed invalidation distance
• its sweep state exceeds the active timeout
• it completes its reclaimed hold period
• its first penetration is rejected while First Penetration Only is active
• it is consumed after failing a final execution filter
• the maximum active-level capacity removes an older level
Breakout Invalidation uses ATR-normalized distance.
This helps distinguish a controlled sweep from a confirmed close that travels too far beyond an unswept level.
Sweep State Timeout limits how long a Swept level can wait for reclaim.
Reclaimed Level Hold Bars controls how long the line remains highlighted after a successful reclaim.
Consume Filtered Reclaims determines whether a reclaim candidate rejected by direction, bias, market, cooldown, cluster, or conflict rules is permanently retired.
Removing stale or invalid levels helps reduce repeated signals from outdated price references.
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📟 DASHBOARD
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The script includes a dashboard positioned in the bottom-right corner.
Dashboard modes include:
Full
Displays the broadest engine diagnostics.
Compact
Shows a reduced selection of important engine and trade information.
Trade Only
Focuses on the active trade lifecycle.
Off
Hides the dashboard.
The Full dashboard can display:
• active swing and reclaim configuration
• quality-filter mode
• Fresh, Armed, Swept, and Reclaimed level counts
• last sweep side
• last sweep type
• sweep depth
• last reclaim signal
• reclaim delay
• close location
• candle-body strength
• setup grade
• setup-quality score
• quality-component information
• selected candidate mode
• signal direction
• cooldown state
• trend-bias state
• market state
• active level
• latest block reason
• trade state
• Entry
• Stop
• Target
• risk distance
• selected RR
• total visual models
• wins and losses
• internal net R
• last model result
• current and best internal streaks
The dashboard is not PulseWire Strategy Tester.
Its trade counters are based on the indicator’s own educational bar-based model.
They do not include spread, commission, slippage, latency, or real broker execution.
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🚨 ALERT SYSTEM
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Sweep Reclaim Entry Engine includes static PulseWire alert conditions for:
• Swing High Swept
• Swing Low Swept
• Any Swing Sweep
• BUY Reclaim Confirmed
• SELL Reclaim Confirmed
• Any Reclaim Signal
• A+ Sweep Reclaim
• A Sweep Reclaim
• B Sweep Reclaim
• Sweep Reclaim Trade Opened
• Sweep Reclaim TP Hit
• Sweep Reclaim SL Hit
The script also includes optional dynamic alert() messages.
Dynamic messages can include:
• direction
• symbol
• timeframe
• grade
• quality score
• reclaimed level
• signal close
• Entry
• Stop Loss
• TP
• RR
• stop mode
• final model result
Dynamic Signal Alerts: A+ Only can restrict dynamic final-signal alerts to A+ setups.
Alert filtering affects alert delivery only.
It does not change chart calculations.
Alerts are monitoring tools.
They do not execute trades or place broker orders.
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🔔 HOW TO USE ALERTS
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A practical alert workflow:
1. Add Sweep Reclaim Entry Engine to the chart.
2. Select the desired swing, sweep, reclaim, quality, bias, and trade-model settings.
3. Open PulseWire’s Create Alert window.
4. Select the indicator as the alert condition.
5. Choose the required static condition.
6. Use BUY Reclaim Confirmed or SELL Reclaim Confirmed for direction-specific signals.
7. Use Any Reclaim Signal for either direction.
8. Use A+, A, or B conditions when grade-specific monitoring is needed.
9. Enable Dynamic alert() Messages when detailed runtime messages are preferred.
10. Select Any alert() function call for dynamic messages.
11. Choose an alert frequency suitable for confirmed-candle monitoring.
12. Test the alert before depending on it.
13. Confirm every event with personal analysis and risk management.
Alert delivery can depend on:
• PulseWire servers
• the user’s alert settings
• symbol data availability
• chart timeframe
• realtime feed status
• webhook destination availability
The indicator cannot guarantee alert delivery or external execution.
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🧪 HOW TO USE THE INDICATOR
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A practical workflow:
1. Add Sweep Reclaim Entry Engine to a standard candlestick chart.
2. Begin with the default Structural swing mode.
3. Keep Reclaim Strength Mode on Strict while learning the engine.
4. Keep Quality Filter Mode on Strict when a selective default is preferred.
5. Confirm that the selected higher timeframe is above the chart timeframe.
6. Observe the stored swing-high and swing-low levels.
7. Watch for a level to move from Fresh to Armed.
8. Review whether the penetration appears controlled rather than excessively deep.
9. Wait for the reclaim candle to close.
10. Review the BUY or SELL label, grade, and quality score.
11. Check the bottom-right dashboard for bias, market state, block reason, and active trade.
12. Treat Entry, SL, and TP as visual references only.
13. Compare the setup with personal structure, liquidity, session, volatility, and risk rules.
14. Use alerts for monitoring rather than blind execution.
15. Test the exact symbol, timeframe, session, and settings personally used.
16. Review historical TP models and concise CLOSED SL HIT labels to understand the visual lifecycle.
The indicator is best used as a structured sweep-reclaim review tool.
It should not be used as an automatic decision-maker.
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⚙️ SETTINGS REFERENCE
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⚙️ Core Swing Engine
Swing Mode
Selects Reactive, Balanced, Structural, or Custom.
Custom Left Bars
Controls left-side pivot sensitivity in Custom mode.
Custom Right Bars
Controls right-side pivot confirmation in Custom mode.
ATR Length
Controls ATR normalization throughout the engine.
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📍 Level Management
Maximum Active Levels Per Side
Limits stored swing highs and lows separately.
Maximum Level Age
Removes old inactive levels.
Level Merge Tolerance — ATR
Prevents near-duplicate swing levels.
Armed Distance — ATR
Controls how close price must move before a Fresh level becomes Armed.
Breakout Invalidation — ATR
Controls the confirmed-close distance that invalidates an unswept level.
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🌊 Sweep Detection
Sweep Penetration Mode
Selects Wick Only, Wick or Body, or Body Required.
Minimum Sweep Depth — ATR
Rejects insignificant penetrations.
Maximum Sweep Depth — ATR
Rejects excessively deep penetrations.
First Penetration Only
Allows only the first interaction attempt.
Multi-Level Sweep Handling
Selects Nearest Valid Level or All Valid Levels.
Block Dual-Side Sweep Bars
Prevents one candle from registering both a high-side and low-side sweep.
Sweep State Timeout
Controls how long a Swept level can wait for reclaim.
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✅ Reclaim Confirmation
Reclaim Window
Selects Same Candle, Fast, Flexible, or Custom.
Custom Reclaim Bars
Controls the reclaim window in Custom mode.
Reclaim Strength Mode
Selects Loose, Balanced, Strict, or Custom.
Custom Close Buffer — ATR
Controls reclaim distance beyond the level.
Custom Close Location
Controls directional close quality.
Custom Body Strength — ATR
Controls minimum reclaim-candle body size.
Custom Wick Rejection Ratio
Controls same-candle rejection-wick quality.
Require Directional Candle Body
Requires bullish or bearish candle direction.
Require Same-Candle Wick Rejection
Requires the active wick threshold for immediate reclaims.
Block Dual-Side Reclaim Bars
Prevents both directions from confirming on one candle.
Reclaimed Level Hold Bars
Controls how long a reclaimed level remains highlighted.
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💎 Quality Engine
Quality Filter Mode
Selects Loose, Balanced, Strict, or Custom.
Custom Minimum Quality
Controls the manual minimum from 50 to 100.
Include Relative Volume
Adds the relative-volume component.
Relative Volume Length
Controls the volume baseline.
Volatility Regime Length
Controls the ATR-regime baseline.
Show Grade on Signal Labels
Displays A+, A, or B.
Show Score on Signal Labels
Displays the 0–100 quality score.
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🎯 Signal Execution
Signal Direction
Selects Both, Long Only, or Short Only.
Candidate Selection
Selects Highest Quality or Nearest Level.
Cooldown Mode
Selects Off, Any Signal, or Same Direction.
Signal Cooldown Bars
Controls the time-based delay.
Use Same-Direction Cluster Filter
Blocks nearby repeated signals.
Minimum Signal Distance — ATR
Controls the required distance from the previous same-direction signal.
Block Duplicate Signal Bar
Prevents repeated final signals on one candle.
Opposite-Signal Conflict
Selects Block Both, Higher Quality, BUY Priority, or SELL Priority.
Consume Filtered Reclaims
Retires reclaim candidates rejected by final execution filters.
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🧭 Bias & Market Filters
Trend Bias Mode
Selects Off, Chart EMA, Higher Timeframe EMA, or Combined EMA.
Chart EMA Length
Controls current-timeframe trend bias.
Higher Timeframe
Selects the HTF context.
Higher-Timeframe EMA Length
Controls the confirmed HTF EMA.
Require EMA Slope Agreement
Adds directional EMA slope.
Market Condition Filter
Selects Off, Volatility, Efficiency, or Combined.
Efficiency Length
Controls directional-efficiency calculation.
Minimum Efficiency
Controls the required efficiency ratio.
Minimum ATR Regime Ratio
Sets the lower volatility boundary.
Maximum ATR Regime Ratio
Sets the upper volatility boundary.
The default HTF layer uses previous completed higher-timeframe values.
float confirmedHTFClose = request.security(
syminfo.tickerid,
higherTimeframe,
close ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
float confirmedHTFEMA = request.security(
syminfo.tickerid,
higherTimeframe,
ta.ema(close, higherTimeframeBiasLength) ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
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📈 Trade Model
Enable Trade Model
Enables Entry, SL, TP, and lifecycle visualization.
Stop-Loss Mode
Selects Entry ATR Multiplier or Sweep Extreme + ATR Buffer.
Sweep-Extreme Buffer — ATR
Controls protective distance beyond the sweep extreme.
Entry ATR Stop Multiplier
Controls ATR stop distance from Entry.
Risk / Reward Target
Controls target distance from 0.25R to 15R.
TP / SL Same-Bar Priority
Selects Stop First or Target First.
Block Signals During Active Trade
Maintains the one-active-model structure.
Allow New Signal on Exit Bar
Controls same-bar reopening.
Show TP / SL Boxes
Shows or hides risk/reward areas.
Show Entry / TP / SL Lines
Shows or hides price-reference lines.
Show Historical Trades
Keeps completed TP models.
Maximum Historical Trades
Limits stored completed visuals.
Show TP / SL Result Labels
Controls TP HIT and CLOSED SL HIT labels.
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🔔 Alert System
Enable Dynamic alert() Messages
Activates detailed runtime alerts.
Alert Final BUY / SELL Signals
Enables final-signal messages.
Dynamic Signal Alerts: A+ Only
Restricts dynamic signal messages to A+ setups.
Alert Trade Model Open
Sends Entry, SL, TP, RR, grade, and quality.
Alert TP / SL Result
Sends model-result messages.
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🎨 Visual Settings
Visual Profile
Selects Full, Clean, Minimal, or Mobile.
Level Display
Selects All Active, Armed + Events, Events Only, or Hidden.
Level Line Style
Selects Adaptive, Solid, Dashed, or Dotted.
Signal Label Style
Selects Full, Compact, or Icon.
Dashboard Mode
Selects Full, Compact, Trade Only, or Off.
Active Trade Zone Transparency
Controls TP / SL fill transparency.
Active Trade Border Transparency
Controls TP / SL borders.
Active Trade Line Width
Controls trade-line thickness.
Fade Completed Trades
Fades completed TP models.
Completed Trade Transparency
Controls historical fading.
Theme
Selects Crimson, Ice Blue, or Monochrome.
Show Swing-High Levels
Controls high-side levels.
Show Swing-Low Levels
Controls low-side levels.
Show Important Sweep Labels
Controls sweep-event labels.
Sweep Label Filter
Selects Important Only or All Valid.
Minimum Sweep Importance
Controls visible sweep quality.
Maximum Important Sweep Labels
Limits sweep-label history.
Show BUY / SELL Reclaim Signals
Controls final reclaim labels.
Maximum Reclaim Labels
Limits final signal-label history.
Fade Older Levels
Reduces old-level opacity.
Level Width
Controls swing-level line thickness.
Show Confirmed Pivot Markers
Controls pivot triangles.
Show Dashboard
Enables the dashboard.
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🛠️ Customization
Sweep Label Size
Controls SWEEP HIGH / SWEEP LOW labels.
Triangle Marker Size
Controls confirmed pivot triangles.
BUY / SELL Signal Label Size
Controls reclaim labels.
TP / SL Result Label Size
Controls result labels.
Dashboard Header Size
Controls dashboard titles.
Dashboard Text Size
Controls dashboard body text.
Color Mode
Selects Theme or Custom.
Custom color inputs control:
• swing-level states
• BUY / SELL backgrounds and text
• sweep-label backgrounds and text
• Entry, TP, and SL lines
• TP / SL fills and borders
• TP / SL result labels
• dashboard background, header, border, main text, and muted text
Input values and plotted marker values are hidden from the status line.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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Sweep Reclaim Entry Engine uses familiar analytical concepts such as:
• pivot highs and lows
• liquidity sweeps
• price reclaims
• ATR
• relative volume
• EMA bias
• market efficiency
• risk/reward projection
These concepts are not unique by themselves.
The originality of this script lies in how they are organized into one transparent sweep-reclaim workflow:
Confirmed pivot
→ separate high-side and low-side memories
→ ATR-normalized duplicate control
→ Fresh state
→ Armed state
→ penetration classification
→ minimum and maximum depth validation
→ Swept state
→ configurable reclaim window
→ close, location, body, and wick validation
→ eight-component quality score
→ A+ / A / B grade
→ multi-candidate comparison
→ cooldown, cluster, and conflict handling
→ chart and confirmed HTF EMA alignment
→ optional market-regime filtering
→ one-active-trade model
→ TP-specific historical preservation
→ SL-specific visual cleanup
→ static and dynamic alert delivery
→ bottom-right diagnostic dashboard
Distinctive implementation features include:
• separate lifecycle arrays for swing highs and swing lows
• a defined Armed state before sweep detection
• controlled minimum and maximum penetration depth
• wick/body sweep classification
• first-attempt retirement logic
• sweep-importance scoring separate from setup-quality scoring
• same-candle and multi-bar reclaim support
• transparent quality-component weighting
• Highest Quality and Nearest Level candidate selection
• multiple opposite-conflict resolution modes
• confirmed higher-timeframe EMA data
• ATR-normalized signal clustering
• full chart cleanup after SL
• independent sizing for every label and marker class
• status-line value suppression without hiding chart markers
• configurable targets up to 15R
The script is not a basic collection of unrelated filters.
Each module supports the same swing-sweep-reclaim process.
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⚠️ IMPORTANT PRACTICAL NOTES
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The indicator’s behavior depends heavily on settings and market conditions.
Signal frequency can change based on:
• Swing Mode
• pivot lengths
• maximum level age
• merge tolerance
• armed distance
• sweep penetration mode
• minimum and maximum sweep depth
• first-penetration logic
• multi-level selection
• reclaim window
• reclaim strength
• directional candle requirement
• same-candle wick requirement
• quality filter mode
• volume context
• direction restriction
• cooldown
• signal-cluster distance
• opposite-conflict mode
• chart EMA length
• HTF selection
• HTF EMA length
• market-condition filter
• volatility regime
• efficiency threshold
• active-trade restrictions
• symbol
• timeframe
• session
• data provider
• available chart history
A setting that appears selective on one market may behave differently on another.
Volume behavior can differ across forex, futures, equities, indices, and cryptocurrencies.
The higher-timeframe filter should use a timeframe meaningfully above the chart timeframe.
Structural mode confirms fewer and broader pivots than Reactive mode.
Strict reclaim and quality modes reduce signal frequency but do not guarantee better results.
Reactive or Balanced modes can increase frequency but can also increase chart noise.
Users should test the exact market, timeframe, session, and configuration they personally study.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
It does not guarantee profitable trades.
It does not predict future price movement.
It does not replace risk management.
It does not execute trades.
It does not place broker orders.
It does not include spread.
It does not include commissions.
It does not include slippage.
It does not include execution delay.
It does not include partial fills.
It uses bar-based OHLC data.
Same-candle TP / SL order cannot be known from standard OHLC bars.
Stop First and Target First are modeling assumptions.
Confirmed pivots require right-side bars before becoming available.
The quality score is not a win probability.
A+ is not a guaranteed outcome.
The dashboard is not PulseWire Strategy Tester.
Internal model counters are not audited brokerage performance.
Historical boxes and labels do not guarantee future behavior.
Relative-volume quality depends on available volume data.
Higher-timeframe bias depends on the selected timeframe.
Market-efficiency filtering cannot identify every ranging condition.
ATR normalization does not make one configuration universal.
One-active-trade logic is a visual-management rule.
Data-feed differences can change historical pivots and signals.
Alert delivery depends on PulseWire and user configuration.
Changing settings changes historical calculations.
Changing symbol, session, exchange, or timeframe changes the engine context.
For these reasons, Sweep Reclaim Entry Engine should be used as an educational decision-support and chart-analysis tool, not as a standalone automated strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
• study liquidity sweeps
• monitor confirmed swing highs and lows
• distinguish a sweep from a reclaim
• prefer filtered signals instead of every wick event
• want a visible level lifecycle
• want ATR-normalized penetration thresholds
• want same-candle and multi-bar reclaim support
• want a transparent 0–100 quality framework
• want A+, A, and B setup grades
• want chart and confirmed HTF EMA context
• want optional market-regime filtering
• want Entry, SL, and TP visualization
• want one active model at a time
• want clean SL result handling
• want adjustable mobile and desktop presentation
• want alert-based monitoring
• want a structured educational analysis process
It may be less suitable for users who:
• want guaranteed buy/sell signals
• want a fully automated trading bot
• want every wick beyond every high or low
• expect the quality score to represent probability
• expect one configuration to work on every market
• require exact tick-level execution simulation
• expect displayed levels to match broker fills
• want an indicator to replace independent judgment
• expect alerts to execute orders automatically
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🧭 BEST PRACTICE SUGGESTIONS
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For a cleaner and more selective review:
• begin with Structural swing mode
• keep First Penetration Only enabled
• use Nearest Valid Level or Highest Quality according to preference
• keep Strict reclaim strength
• keep Strict quality filtering
• use Combined EMA bias
• select a valid higher timeframe
• use Same Direction cooldown
• keep the same-direction cluster filter enabled
• use Stop First for conservative same-candle modeling
• use Important Only sweep labels
• use Clean visual profile
• keep the dashboard in Compact or Full mode while learning
• use alerts for monitoring, not blind execution
For more active signal frequency:
• use Balanced or Reactive swing mode
• use Balanced reclaim strength
• use Balanced quality filtering
• reduce cooldown
• reduce minimum signal distance
• use Chart EMA or disable trend bias
• keep the hard market filter Off
• use All Valid sweep labels only when additional chart detail is useful
Always:
• review the structural level before the sweep
• confirm the reclaim candle has closed
• verify the setup fits personal market context
• compare the stop with nearby structure and volatility
• treat TP as a planning reference
• test the exact symbol and timeframe
• apply independent risk management and position sizing
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🔓 PUBLICATION NOTE
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Sweep Reclaim Entry Engine is published as an educational and visual market-analysis tool.
The purpose of this description is to explain:
• what the script does
• how swing points are confirmed
• how levels are stored and managed
• how Fresh, Armed, Swept, Reclaimed, and Consumed states work
• how penetration type is classified
• how minimum and maximum sweep depth work
• how reclaim timing works
• how reclaim strength is evaluated
• how the 0–100 quality score is calculated
• how A+, A, and B grades are assigned
• how candidates are selected
• how cooldown and clustering operate
• how opposite-direction conflicts are handled
• how chart and confirmed HTF bias work
• how market-condition filters operate
• how Entry and Stop Loss are calculated
• how the RR target is projected
• how one-active-trade logic works
• how same-candle ambiguity is handled
• how active and completed visuals behave
• how SL-specific cleanup works
• what the dashboard displays
• what static and dynamic alerts do
• what the timing limitations are
• what the script’s limitations are
• why the implementation is original
The script is designed to support structured analysis.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It should not be used as a blind buy/sell system.
MAIN CHART SCREENSHOT PLAN
Use one clean standard candlestick chart.
Show the indicator with its default settings.
The screenshot should contain:
• one clearly visible confirmed swing level
• one visible SWEEP HIGH or SWEEP LOW event
• one BUY RECLAIM or SELL RECLAIM label
• one active Entry / TP / SL model
• the thick white Entry line
• the blue/cyan TP area
• the red SL area
• the bottom-right dashboard
• the symbol and timeframe
• the indicator title in the status line
Do not include:
• other indicators
• manual drawings
• unrelated labels
• social links
• promotional text
• performance claims
• account-profit screenshots
• non-standard candles
• excessive zoom
• hidden price candles
The screenshot should demonstrate the script’s normal default behavior and make the swing, sweep, reclaim, risk model, and dashboard easy to understand.
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🛡️ DISCLAIMER
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Sweep Reclaim Entry Engine is provided for educational and informational purposes only.
It does not constitute financial, investment, trading, legal, or tax advice.
No indicator can guarantee future results.
Markets are uncertain, liquidity conditions change, volatility changes, and historical chart behavior does not ensure future performance.
Every user is responsible for their own:
• analysis
• validation
• risk management
• position sizing
• alert configuration
• trading decisions
• broker execution
• legal and tax obligations
The confirmed swing levels, lifecycle states, sweep labels, reclaim labels, quality scores, setup grades, bias states, market-condition states, Entry references, stop-loss levels, take-profit targets, TP / SL boxes, result labels, dashboard values, internal model counters, and alerts are visual analysis tools only.
The displayed Entry is not a guaranteed fill.
The displayed Stop Loss is not a broker order.
The displayed target is not a guaranteed objective.
The 0–100 quality score is not a win probability.
The A+, A, and B grades are not promises of performance.
The internal trade model does not include spread, commissions, slippage, latency, order-book conditions, or partial fills.
Use this script as a structured sweep-reclaim review and decision-support framework, not as a promise of profitability or a substitute for independent judgment.
Indicator
Variance Risk Premium OscillatorVariance Risk Premium Oscillator
What it does
The Variance Risk Premium Oscillator measures the gap between implied volatility (a volatility index such as India VIX) and realized volatility, scaled in standard-deviation (σ) units. That gap — the variance risk premium (VRP) — tells you whether option protection is currently rich (expensive, complacent) or cheap (underpriced, stressed). A vol-of-vol read is shown alongside as an instability gauge.
Why this is different (and original)
Most volatility tools on charts forecast or display realized volatility (ATR, standard-deviation bands, historical-vol plots). This one reads something different: the price of volatility insurance. Decades of research show implied volatility systematically exceeds the volatility that is subsequently realized, so the premium is, on average, positive — investors pay up for protection. When that premium stretches unusually high, protection is expensive and the crowd is complacent; when it collapses or turns negative, fear is being paid for and volatility is cheap. Presenting this premium as a clean, self-normalizing mean-reversion oscillator with a built-in edge test is what makes it original — it is not a realized-vol band and not a VIX plot.
How it works
Realized volatility = annualized standard deviation of log-returns over the chosen window.
Implied volatility = the volatility index you point it at.
VRP = Implied − Realized.
The VRP series is z-scored over the normalization window into the σ oscillator. Vol-of-vol (the standard deviation of the implied index) is tracked separately as an instability read in the dashboard.
How to use it
Above the upper (red) band = vol RICH / complacency — protection expensive.
Below the lower (green) band = vol CHEAP / stress — protection underpriced.
Turns out of an extreme (triangles) are the mean-reversion events: a turn up from the cheap zone often coincides with stress easing; a turn down from the rich zone with complacency ending.
Read the EDGE row. The harness checks whether, after a cheap-zone turn, price actually rallied (and after a rich-zone turn, faded) by ≥ k×ATR within the horizon, versus the unconditional Base %. EDGE = Hit − Base. If it is near zero on your market, the mean-reversion read is not paying there.
Settings guide
01 · Data & Volatility — implied-vol symbol, realized-vol length, annualization (252 for daily; bars-per-year for intraday), vol-of-vol length, universal price source.
02 · Normalization — z-score window, output smoothing.
03 · Calibration — horizon, favourable-move threshold (×ATR), base-rate window.
04 · Bands — stretch and extreme σ bands; divergence pivot.
05 · Display & Theme — visual style, regime tint, dashboard, colors.
Non-repaint
The implied-vol index is requested with lookahead_off and settles on its bar's close — no future leak.
Concept credit
Variance risk premium and its return predictability — Bakshi & Kapadia (2003); Carr & Wu (2009); Bollerslev, Tauchen & Zhou (2009); Coval & Shumway (2001).
Disclaimer
For research and education only. Not financial advice, not a recommendation, and not a guarantee of future results. A stretched premium does not guarantee reversion — regimes can stay rich or cheap for long stretches. All statistics are in-sample, close-to-close, and exclude costs. Do your own research and manage your own risk. Indicator
Options Positioning OscillatorOptions Positioning Oscillator
What it does
The Options Positioning Oscillator is a single bounded line, scaled in standard-deviation (σ) units, that reads where derivatives positioning is leaning — risk-on (bullish) versus risk-off / hedged (bearish).
Most oscillators read price (RSI, Stochastic, MACD, etc.). This one deliberately does not. It reads the implied-volatility and futures-basis structure that sits underneath price, because hedging and positioning leave their footprint in the volatility surface and the cash-and-carry basis before they fully show up in price momentum. The output is one easy-to-read line with σ-banded extremes, so you can see at a glance whether positioning is neutral, leaning, or stretched.
Why these components are combined (mashup rationale)
This is not a bundle of unrelated indicators stacked for the sake of it. The three core legs are complementary, research-documented measurements of the same underlying quantity — the price of variance risk and the market's appetite for risk:
Implied-Volatility Rank — the level of implied vol within its own range (where fear sits historically).
Volatility Term-Structure — implied vol versus its own trend (the slope: calm/contango vs stressed/backwardation).
Futures Basis — the cash-and-carry premium or discount (demand and carry vs hedging pressure).
Each leg, on its own, is a noisy proxy for risk appetite. The academic literature shows each carries genuine information: implied volatility systematically exceeds subsequent realized volatility, producing a variance risk premium (Bakshi & Kapadia 2003; Carr & Wu 2009), and the shape/slope of the volatility term structure carries information about the price of variance risk that predicts volatility-asset returns incrementally to other proxies (Johnson 2017). Combining several noisy-but-informative proxies of one latent variable, on a common standardized scale, denoises any single proxy — a textbook signal-combination, which is exactly why the mashup is justified rather than arbitrary.
Two optional legs — Put-Call Ratio and Option Skew — extend the read for users who can supply that data as an external series. They are off by default because PulseWire cannot natively pull live option-chain data; turning them on without a real source would feed price in their place, which would be wrong. The composite automatically re-balances around whatever legs are active.
How the components work together
Every leg is converted to a z-score on its native timeframe so they share one scale (the volatility legs are measured on a stable Daily timeframe by default, so "IV-rank" means the same thing whether you run a 5-minute or daily chart). The legs are sign-aligned so that up = bullish lean in every case:
high implied-vol level → bearish (subtracted)
steep/stressed term slope → bearish (subtracted)
premium futures basis → bullish (added)
They are then combined as a weighted average and lightly smoothed. The result is one line where positive = crowd leaning bullish/risk-on, negative = leaning bearish/hedged, and the dotted Extreme bands flag stretched positioning prone to mean-reversion.
How to use it
Read the level, not only the crosses. Above the +Lean band = bullish lean; below the −Lean band = bearish/hedged lean; beyond the dotted Extreme bands = stretched.
Turns out of an extreme (the triangles) are the actionable events — positioning unwinding from a stretched state.
Divergences (circles) warn when price and positioning disagree — e.g. price makes a higher high while positioning makes a lower high.
Read the EDGE row. The dashboard runs a live forward-return harness: for each turn it checks whether a favourable move (≥ k×ATR within the horizon) actually occurred, and compares that Hit % against the unconditional Base %. EDGE = Hit − Base is the only honest measure of whether the signal is doing anything on your instrument. If EDGE is near zero, the signal is not adding information on that market/timeframe — and the script tells you so.
Why it is original
It is not a re-skinned price oscillator. It is an options/volatility-native positioning gauge that (a) fuses the implied-vol level, term-structure slope, and futures basis into one standardized composite, (b) measures the volatility legs on a stable higher timeframe so the read is timeframe-consistent, and (c) ships with a built-in forward-return calibration harness that reports its own live edge instead of asking you to trust it. I am not aware of a published PulseWire oscillator that combines these specific volatility-structure components with self-calibration.
Settings guide
01 · Data Sources — Cash, Futures and Implied-Vol-Index symbols (default NIFTY / NSE; change for any market), the timeframe for the volatility legs (default Daily), and a universal price source.
02 · Engine — IV-rank lookback, term mean length, normalization window, output smoothing.
03 · Component Weights — weight each leg; set a leg to 0 to drop it. Optional PCR / Skew legs (off by default; require external data).
04 · Calibration — horizon, favourable-move threshold (×ATR), base-rate window.
05 · Bands — Lean and Extreme σ bands; divergence pivot.
06 · Display & Theme — visual style (gradient area + glow / histogram / line), background regime tint, dashboard, colors.
Non-repaint
The volatility legs are requested with lookahead_off and settle on their bar's close — there is no future leak. Higher-timeframe values develop through the forming bar and confirm at its close, which is standard, intended behaviour.
Concept credit
Variance risk premium and its predictive content — Bakshi & Kapadia (2003); Carr & Wu (2009); Bollerslev, Tauchen & Zhou (2009).
Volatility term-structure slope and return predictability — Johnson, Risk Premia and the VIX Term Structure (2017).
Cash-and-carry futures basis — standard cost-of-carry theory.
Implied-volatility rank / percentile — established options-desk practice.
Disclaimer
For research and education only. This script is not financial advice, not a recommendation, and not a guarantee of future results. All statistics shown are in-sample, close-to-close, and exclude costs and slippage — a study aid, not a backtest. Do your own research and manage your own risk. Indicator
Liquidity Void Zone Map [ZOM]Liquidity Void Zone Map is a clean imbalance and fair-value-gap style zone mapper built to highlight where displacement left thin liquidity behind.
What it shows:
- Bull and bear liquidity void bands built from three-candle imbalance geometry
- Capped zone height so the bands stay readable instead of becoming huge slabs
- Active, tapped, and broken-state tracking
- Reclaim/rejection retest marks when price revisits a void with directional confirmation
- A compact dashboard showing active bull/bear zones, tapped count, broken count, state, and best quality score
How I use it:
The bands are context, not standalone entries. I look for price to return into a void, then watch the reclaim/rejection behavior around the band while considering trend, volatility, and broader market structure. It is designed for ES/NQ/crypto/forex intraday structure reads, but it can be adapted to other liquid markets.
Open-source script. Educational tool only; not financial advice. Indicator
Choppiness Keltner Pulse [ZOM]Choppiness Keltner Pulse is an open-source regime and continuation tool built around Choppiness Index contraction, Keltner reclaim/flush behavior, OBV pressure, and ATR thrust confirmation.
The idea is to identify moments when price is leaving a compressed or choppy state and beginning to move with cleaner directional participation. The glass channel visual shows Keltner pulse context, while price-anchored watch and confirmed markers keep signals attached to the chart when panning, zooming, scaling, or changing timeframes.
Core components:
- Choppiness Index regime / compression state
- Keltner reclaim and flush trigger logic
- OBV pressure confirmation
- ATR thrust / range expansion filter
- Cooldown-aware watch and confirmed signals
- Compact mini dashboard with mode, chop state, OBV pressure, trigger state, bias, and quality score
- Alerts for bullish and bearish watch/confirmed conditions
The Quality Score is a confluence read, not a prediction. It summarizes whether the current bar has enough regime, trigger, participation, thrust, and cooldown alignment to support the signal context.
This is not financial advice or a standalone trading system. Use it with structure, risk controls, and your own confirmation process. Indicator
Auto8 3.0Auto8 3.0 is an automatic Fibonacci 1/8th Levels indicator (also known as Murrey Math Lines style). It dynamically calculates the highest high and lowest low over a user-defined lookback period (Fib Length, default 4096 bars), then divides that range into 8 equal parts. The script plots:
The 9 main levels (8/8 down to 0/8)
Several 1/16th intermediate lines
Upper and lower extensions (beyond the range)
Beautiful colored fills between each 1/8th zone
Clean right-side labels for every major level
It is fully automatic — it constantly updates as new highs/lows are made within the lookback window.
Main Use Cases:
High-Probability Support & Resistance
The 1/8th levels (especially 0/8, 2/8, 4/8, 6/8, 8/8) act as major psychological and institutional zones where price frequently reacts.
Market Structure & Bias Determination Price trading above 4/8 → Bullish structure
Price trading below 4/8 → Bearish structure
4/8 level often acts as a strong magnet (mean reversion point).
Zone Trading
Traders use the colored zones for:Buying in lower zones (1/8 – 3/8)
Selling in upper zones (5/8 – 7/8)
Breakout confirmation when price decisively breaks and holds a level
Very popular among Forex, Index, and Commodity traders on Daily, Weekly, and Monthly timeframes.
Key Strengths: Clean, visually appealing zone fills
Automatic — no manual drawing needed
Works on all instruments and timeframes
Good for identifying overextended moves (price at 8/8 or 0/8)
Typical Trading Style:
Swing trading, positional trading, and ICT/SMC traders who love Fair Value Gaps + Order Blocks + Fibonacci/Murrey levels.
Indicator
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Indicator
Ease Flow Reclaim [ZOM]Ease Flow Reclaim is a clean overlay for spotting reclaim and rejection behavior when movement efficiency returns after localized stress.
The script combines a lesser-used Ease of Movement style pressure read with Ulcer Index stress relaxation and light VWMA/HMA trend context. The goal is to identify moments where price begins moving more efficiently after a drawdown or upside stress phase starts easing.
What it uses:
- Ease of Movement / EMV-style flow pressure
- Ulcer Index downside stress for bullish reclaims
- Inverted upside stress context for bearish rejections
- VWMA trend ribbon for volume-weighted direction
- HMA reclaim/rejection spine for cleaner confirmation
- Signal Mode: Early, Balanced, Strict
- Cooldown filtering to reduce repeated chop signals
- Price-locked watch and confirmed markers
Signal logic:
- Small amber watch circles mark setups that are close to confirmation.
- Teal crosses mark bullish ease-flow reclaim signals.
- Magenta crosses mark bearish ease-flow rejection signals.
- The ribbon shifts with VWMA/HMA trend context while staying subtle enough to keep candles readable.
Best use cases:
- ES, NQ, and other liquid futures
- BTCUSD and ETHUSD
- Liquid equities and ETFs
- Intraday continuation/reclaim review
- Spotting efficiency returning after stressful swings
Visuals:
The default Neon Slate template uses a slim VWMA flow ribbon, muted HMA spine, and compact price-series markers. No labels, boxes, lines, dashboards, or static drawings are used, so the plots stay attached to chart time and price while panning or zooming.
This script is not a prediction engine. It is a context and confirmation tool for traders studying movement efficiency, volume-weighted trend, Ulcer Index stress relief, and reclaim/rejection behavior.
Open-source Pine Script by ZenOutMan.
Keywords: Ease of Movement indicator, EMV, Ulcer Index, VWMA, HMA, reclaim signal, rejection signal, movement efficiency, volume weighted trend, futures trading, crypto indicator, PulseWire overlay, Pine Script, ZOM. Indicator
Ulcer Efficiency Reclaim [ZOM]Ulcer Efficiency Reclaim is a clean overlay signal system built around three ideas that work well together: VWAP location, Kaufman-style Efficiency Ratio, and Ulcer Index pressure resets.
The goal is simple: highlight moments where price reclaims or rejects VWAP while directional efficiency is improving and drawdown pressure is cooling or building. It is designed for traders who want a lightweight trend continuation and pullback confirmation tool without a crowded dashboard.
What it uses:
- VWAP anchor for intraday fair-value context
- Efficiency Ratio to filter cleaner directional movement
- Ulcer Index pressure logic to separate panic, reset, and continuation phases
- ATR-based efficiency bands around VWAP
- Optional bar coloring for momentum and pressure shifts
- Simple price-locked signal markers that stay attached to the chart
Signal logic:
- Long markers appear when price reclaims VWAP or rejects the lower efficiency band while efficiency improves and pressure resets.
- Short markers appear when price loses VWAP or rejects the upper efficiency band while efficiency improves and downside pressure builds.
- A cooldown filter reduces repeated signals in noisy chop.
Best use cases:
- Futures such as ES, NQ, YM, and RTY
- Forex majors
- Crypto trend sessions
- Liquid equities and ETFs
- Intraday VWAP continuation and pullback trading
Visuals:
The script includes multiple aesthetic templates, including Ice Pop, Terminal, Solar, and Mono. The default view keeps the overlay readable, with soft VWAP bands and small price-anchored signal dots.
This is not meant to predict every move. It is a context and confirmation tool for spotting cleaner reclaim/reject conditions around VWAP when efficiency and pressure agree.
Open-source Pine Script by ZenOutMan.
Keywords: VWAP indicator, Efficiency Ratio, Ulcer Index, trend continuation, pullback trading, PulseWire overlay, futures trading, forex indicator, crypto indicator, Pine Script, ZOM. Indicator
Indicator
ICT Sessions & Killzones - VWAP + Asia Mid [Dots3Red]█ ICT SESSIONS & KILLZONES — VWAP + ASIA MID
This script visualizes the four major forex trading sessions alongside the four ICT killzone windows, with three analytical additions that most session scripts do not include: a per-session VWAP line, a Daily Open reference, and an Asia range midpoint that extends forward into the London and New York sessions.
It works on intraday timeframes. The number of historical session days displayed is configurable.
█ SESSIONS
Four sessions are available, each independently toggleable:
• Tokyo — 09:00–18:00 Asia/Tokyo
• London — 08:00–17:00 Europe/London
• New York — 09:30–16:00 America/New_York
• Sydney — 07:00–16:00 Australia/Sydney (off by default)
Each session draws a high/low line pair with a soft glow layer behind it, a midpoint dotted line at 50% of the session range, and optional quartile lines at 25% and 75%. A semi-transparent fill box covers the active session range and fades when the session closes. Historical sessions are preserved as lighter boxes and lines, controlled by the Historical Sessions (days) setting.
Session labels are positioned at the horizontal midpoint of the session and display the session name, current range in points, the range as a percentage of ATR(14), and the live VWAP value.
When two sessions are active simultaneously — London and New York from approximately 13:00–17:00 UTC, or Tokyo and London around 07:00–09:00 UTC — an overlap box is drawn over that window in a distinct color.
█ ICT KILLZONES
All four ICT killzone windows are implemented, each individually toggleable under a master switch:
• Asia KZ — 20:00–00:00 America/New_York
• London Open KZ — 02:00–05:00 America/New_York
• NY Open KZ — 07:00–10:00 America/New_York
• London Close KZ — 10:00–12:00 America/New_York
Each killzone box uses a dotted border when closed and switches to a solid border while the window is currently active. This makes it immediately clear at a glance whether a killzone is live or historical.
Most published session scripts include only two killzones (London Open and NY Open). The Asia and London Close windows are included here because they are part of the complete ICT framework — the Asia killzone in particular is where a significant portion of daily liquidity is engineered before the London session opens.
█ SESSION VWAP
A VWAP line is calculated independently for each session. It resets to zero at each session open and accumulates using the standard (High + Low + Close) / 3 × Volume formula throughout the session. This is not a daily or weekly VWAP — it is a session-scoped VWAP that resets with each new Tokyo, London, and New York open.
Price above the session VWAP indicates the session is currently net bullish in terms of volume-weighted price. Price below indicates net bearish. The VWAP value is also shown in the live metrics table and in the session label.
Sydney VWAP is not calculated as volume data on that session is generally unreliable outside of ASX-listed instruments.
█ DAILY OPEN LINE
A horizontal line is drawn at the price level at which the new day opened — specifically at midnight New York time (00:00 America/New_York). This corresponds to the ICT "00:00 line" or daily open reference, which is used in ICT methodology as a key intraday reference level for assessing whether price is trading at a premium or discount relative to the daily range.
The line extends forward through the trading day and refreshes at each midnight NY transition.
█ ASIA RANGE MIDPOINT EXTENSION
When the Tokyo session closes, the midpoint of its high-low range is calculated and projected forward as a dashed line into the London and New York sessions. This level — the 50% point of the Asian range — is referenced in ICT methodology as a key intraday equilibrium. London and New York sessions frequently interact with this level before establishing directional bias.
This extension is drawn automatically and requires no manual input. It is toggled by the Asia Range Mid Extension setting.
█ LIVE METRICS TABLE
A table in the corner of the chart displays eight columns for each active session:
• SESSION — name, color-coded to the session
• STATUS — ACTIVE or CLOSED
• RANGE (PTS) — current range in price ticks
• % ATR — range expressed as a percentage of ATR(14)
• VWAP DEV — current close deviation from session VWAP in percent (green = above, red = below)
• VS PREV % — current session range versus the equivalent previous session's range (green = larger, red = smaller)
• HIGH / LOW — current session extremes
The bottom row shows whether a session overlap is currently active.
█ HISTORICAL DISPLAY
The Historical Sessions (days) input controls how many past session blocks remain visible. The script uses a millisecond-based time window rather than a bar count, so the lookback is stable across different timeframes. Setting this to 1 shows only the current day's sessions. Setting it to 5 retains the last five days. Objects beyond the limit are deleted automatically to manage Pine's drawing object limits.
█ ALERTS
Eleven alert conditions are available:
• Tokyo, London, New York session opens and closes (6 alerts)
• Asia KZ, London Open KZ, NY Open KZ, London Close KZ starts (4 alerts)
• London + New York overlap start (1 alert)
█ NOTES
• Designed for intraday timeframes. Most useful at 5-minute through 1-hour.
• Session times adjust automatically for daylight saving time because timezone identifiers (America/New_York, Europe/London, etc.) are used rather than fixed UTC offsets.
• The Tokyo session uses Asia/Tokyo exchange hours (09:00–18:00). Forex traders who prefer the broader Asian session window (00:00–09:00 UTC) can adjust the time string in the source code.
• All session boxes and killzone boxes are gated to the historical window. Objects outside the configured lookback are not drawn, which keeps performance stable on lower timeframes with many bars.
█ DISCLAIMER
This is a visualization tool for session timing and reference levels. It does not generate trade signals and does not constitute financial advice. Past price behavior within or around session windows does not predict future results. Indicator
Strategy
Vola-Index (Historisch)Volatilität, 1. Welche Vola brauchst du aktuell?
Du brauchst immer den Zusammenhang zwischen der weißen Linie und der roten Linie:
Weiße Linie (Vola Aktuell): Das ist deine ATR-basierte Volatilität. Sie zeigt dir, wie stark der Markt gerade "atmet".
Rote Linie (Limit): Das ist deine statistische Schwelle (Vola-Basis + Multiplikator).
Deine Entscheidungshilfe:
Wenn die weiße Linie über der roten Linie liegt, ist der Markt in einem "Extremzustand" (sehr hohe Volatilität). Das ist der Moment, in dem du besonders vorsichtig sein musst, weil Trends entweder sehr schnell explodieren oder (bei Übertreibung) sofort in sich zusammenbrechen.
Wenn die weiße Linie niedrig ist (nahe der Basis), ist der Markt in einer "ruhigen" Phase. Das ist oft die Zeit für Seitwärtsstrategien oder den Aufbau von Positionen vor einem Ausbruch.
2. Was bedeuten die 3 Farben (Linien)?
Im Sub-Chart siehst du drei Linien, die dir genau sagen, wo die Reise hingeht:
Weiße Linie (Vola %): Das ist der aktuelle Wert. Er bewegt sich dynamisch.
Graue Linie (Basis): Das ist der gleitende Durchschnitt der Volatilität über die letzten 20 Perioden (dein volaBandsLength). Sie zeigt dir das "Normalmaß" der Volatilität für den aktuellen Zeitrahmen an.
Rote Linie (Limit/Upper Band): Das ist deine Sicherheitslinie. Sie berechnet sich aus Basis + 2.0 * Standardabweichung. Sie markiert den Bereich, in dem der Markt "ungewöhnlich" volatil wird.
3. Was bedeuten die Hintergrundfarben?
In deinem Screenshot sieht man an einigen Stellen dunkelrote, senkrechte Streifen im Hintergrund des Sub-Charts:
Das ist genau der Moment, in dem die weiße Linie das rote Limit durchbrochen hat.
Die Bedeutung: Das sind deine "Vola-Alarm-Zonen". Wenn du diese roten Balken siehst, hast du eine Phase von hoher Volatilität. Das ist das visuelle Signal, nach dem du gesucht hast – es ist viel intuitiver als eine Zahl in einer Tabelle, weil du den Verlauf über die Zeit siehst.
Mein Tipp für dein Backtesting:
Schau dir die Stellen an, an denen die weißen Punkte (du hast dort kleine blaue Kreise/Marker auf der weißen Linie) auftauchen und die rote Linie berühren. Wenn du dort in den Hauptchart schaust, wirst du oft sehen, dass genau das die Punkte sind, an denen der Markt entweder einen starken Ausbruch gestartet hat oder an denen eine Trendwende (Reversal) stattfand. Indicator
Dealer Pin Release Map [ZOM]Dealer Pin Release Map is an intraday dealer-magnet model for traders who want a cleaner read on pinning, fade pressure, and volatility release around synthetic strike levels.
The script estimates the nearest live magnet from a configurable strike step, then scores pin pressure using price proximity, ATR compression, relative participation, and synthetic delta pressure. When price compresses around the magnet, the tool highlights the active pin. When price rejects the pin edge or expands away from a prior pin state, it marks potential fade or release conditions.
What it shows:
- Live pin magnet: the current strike-style level price is clustering around.
- Release rails: upside/downside levels where a pinned auction can begin to unwind.
- Pin Fade signals: wick and delta-confirmed rejection from the pin edge.
- Gamma Release alerts: expansion signals after prior pin pressure, relative volume, and directional delta confirm.
- Dashboard: current state, magnet, pin score, release energy, relative volume, and delta pressure.
This is intentionally not a traditional moving-average or support/resistance indicator. It is built to frame the auction as a dealer-style pin/release map, especially on liquid futures and index products where round-number and strike-style magnets can matter.
Notes:
- The model uses proxy calculations from price, volume, ATR, and candle location. It does not read live options open interest or broker order flow.
- Best used with liquid symbols and sensible strike steps, such as 25 or 50 points on major equity index futures.
- Signals are contextual. Use the rails and dashboard as a map, not as standalone financial advice.
Indicator
Imbalance Repricing Engine [ZOM]Imbalance Repricing Engine
The Imbalance Repricing Engine is an overlay framework designed to map displacement imbalances, fair-value-gap style zones, repricing reactions, mitigation behavior, and failed imbalance structures using standard OHLCV data.
The idea behind the tool is that strong displacement often leaves inefficient price areas behind. When price later returns to those zones, the reaction can provide useful context: continuation, mitigation, rejection, or failure.
This script attempts to visualize that process directly on the chart.
Core features:
- Bullish and bearish imbalance zone detection
- Displacement filtering using ATR expansion, candle body share, and relative volume
- Active zone tracking with forward projection
- Midpoint traces for each imbalance
- Zone state changes for active, mitigated, and failed areas
- VWAP cloud for premium/discount context
- Estimated delta-pressure score derived from OHLCV structure and volume
- LONG REPRICE and SHORT REPRICE labels with setup scores
- Optional failure labeling
- Latest projection lines for entry, invalidation, target 1, and target 2
- Compact ZOM dashboard with active zone count, last event, delta pressure, relative volume, VWAP state, and score
- Multiple visual templates: Rogue, Emerald, Gold Rush, Arctic, and Mono
How to read it:
Bullish imbalance zones are areas where upside displacement left a gap-like inefficiency behind. If price later revisits the zone and responds with supportive structure, the tool can mark a LONG REPRICE signal.
Bearish imbalance zones work the opposite way. If price revisits a bearish imbalance and rejects with confirming structure, the tool can mark a SHORT REPRICE signal.
Mitigated zones show areas where price has traded back into the imbalance. Failed zones show areas where price closed through the structure strongly enough to weaken the original imbalance thesis.
This tool is most useful on liquid futures and index products where displacement and repricing behavior are easy to observe. The default view was staged for ES / NQ style 15m and 5m analysis with enough structure to be visually useful without flooding the chart.
Important note:
PulseWire Pine scripts do not have access to true order book, time-and-sales, or full market depth. Delta pressure, imbalance behavior, and absorption-style context here are modeled from OHLCV-based proxies. Treat this as a contextual framework, not financial advice or a predictive system. Indicator
Liquidity Trap Absorption Matrix [ZOM]Liquidity Trap Absorption Matrix
The Liquidity Trap Absorption Matrix is an overlay framework built to visualize liquidity sweeps, wick rejection, absorption zones, VWAP displacement, and estimated delta pressure using standard OHLCV data.
The core idea is simple: when price raids a prior swing high/low or opening-range level, then closes back inside with meaningful wick rejection and elevated relative volume, the move may represent a failed breakout, stop run, or liquidity trap rather than clean continuation.
This script attempts to map those moments visually so the trader can evaluate where liquidity was taken, where absorption appeared, and how price behaves after the reclaim/rejection.
Core features:
- Confirmed swing-high and swing-low liquidity levels
- Opening-range high/low context for futures-style intraday review
- Bullish and bearish trap detection using sweep + reclaim/rejection logic
- Wick absorption scoring
- Relative volume filter
- VWAP displacement cloud with adaptive deviation bands
- Estimated delta-pressure score from candle structure and volume
- 0-100 setup scoring model
- Absorption zone boxes extended forward from the sweep area
- Compact BUY TRAP / SELL TRAP labels with scores
- Optional TP1 / TP2 / SL projection map from the latest signal
- Small ZOM Trap Matrix dashboard
- Multiple visual templates, including Rogue, Emerald, Gold Rush, Arctic, and Mono
How to read it:
A BUY TRAP appears when price sweeps below a tracked liquidity level and reclaims back above it with enough rejection, volume, and contextual confirmation.
A SELL TRAP appears when price sweeps above a tracked liquidity level and rejects back below it under similar conditions.
The absorption zone shows the area where the sweep and reclaim/rejection occurred. The VWAP cloud gives broader mean/displacement context. The dashboard summarizes regime, trap bias, estimated delta pressure, relative volume, active zones, and the latest score.
This works best on liquid instruments where intraday liquidity sweeps are common, especially index futures such as NQ, MNQ, ES, and MES. The default settings were tuned to show meaningful structure on 5m and 15m futures charts without becoming overly noisy.
Important note:
PulseWire Pine scripts do not have access to true order book, time-and-sales, dealer positioning, or full market depth. Delta pressure, absorption, and liquidity behavior here are modeled from OHLCV-based proxies. Treat the output as a contextual decision-support framework, not a predictive system or financial advice. Indicator
