Bedaiwi's Smart PivotsBedaiwi's Smart Pivots is a three-level market-structure indicator that classifies price turning points as Minor, Intermediate, and Major highs and lows.
HOW IT WORKS
Minor Pivots
A Minor High is confirmed when the middle bar of a three-bar formation has a high that is strictly higher than the highs immediately before and after it.
A Minor Low is confirmed when the middle bar has a low that is strictly lower than the lows immediately before and after it.
Equal highs and equal lows are not treated as Minor pivots.
Intermediate Pivots
Intermediate pivots are derived from confirmed sequences of Minor pivots.
An Intermediate High is identified when a higher Minor High is followed by a lower Minor High.
An Intermediate Low is identified when a lower Minor Low is followed by a higher Minor Low.
Major Pivots
Major pivots apply the same hierarchical logic to confirmed Intermediate pivots.
A Major High is identified when a higher Intermediate High is followed by a lower Intermediate High.
A Major Low is identified when a lower Intermediate Low is followed by a higher Intermediate Low.
SYMBOLS AND COLORS
- Red diamond: Intermediate High
- Green diamond: Intermediate Low
- Red exclamation mark: Major High
- Green exclamation mark: Major Low
Optional Minor pivots use the same High and Low color settings.
When the replacement option is enabled, an Intermediate symbol is removed and replaced with an exclamation mark if the same point is later promoted to Major status.
HISTORICAL PLOTTING AND CONFIRMATION DELAY
Pivot identification requires subsequent price information.
A Minor pivot is confirmed only after the following bar closes. Intermediate and Major pivots require additional confirmed pivot sequences, so their confirmation occurs later.
After confirmation, the indicator places the symbol on the historical bar where the relevant high or low occurred. Therefore, a symbol displayed on an earlier bar was not necessarily available in real time on that bar.
Historical placement is used only to show the actual location of the confirmed turning point. It should not be interpreted as a signal that was known on the historical pivot bar.
SETTINGS
Users can:
- Show or hide Minor pivots
- Show or hide Intermediate pivots
- Show or hide Major pivots
- Replace an Intermediate symbol when it becomes a Major pivot
- Customize High and Low pivot colors
PRACTICAL USE
Smart Pivots can help users:
- Study market structure
- Identify significant historical swing highs and lows
- Separate short-term fluctuations from higher-level price structure
- Review possible support and resistance areas
- Add context to discretionary price-action analysis
LIMITATIONS
Smart Pivots is an analytical indicator. It does not place trading orders and does not define entries, exits, stop-loss levels, profit targets, position sizing, or expected returns.
Pivot confirmation is delayed by design because later price action is required. Results may vary between symbols, timeframes, sessions, and data feeds.
The indicator does not identify final market tops or bottoms with certainty. Historical observations do not guarantee future market behavior.
This script is provided for research and educational purposes only. It is not financial or investment advice. Indicator
NSE/BSE Key Support & Resistance | MTF Pro-3.1Advanced pivot-based Support & Resistance with multi-timeframe confluence, strength scoring, volume-confirmed breaks, and adaptive zone visuals — built specifically for Indian stock market (NSE/BSE).
Overview
Most S&R indicators draw every pivot as an equal horizontal line and extend it infinitely to the right — creating cluttered, unreadable charts. This indicator solves that by scoring every level based on how strongly price rejected it , merging overlapping levels from different timeframes into a single confluence zone, and only showing the levels that actually matter.
Built and tuned specifically for NSE and BSE stocks, indices (Nifty 50, Bank Nifty, Sensex), and F&O instruments.
Key Features
🔷 Multi-Timeframe Support (4 TFs)
Enable up to 4 independent timeframes simultaneously. Each timeframe's pivots are detected separately and tagged in the label — , , , . You choose which timeframes to activate.
🔷 Cross-TF Confluence Merge
When two different timeframes produce a pivot at nearly the same price (within ATR proximity), they automatically merge into a single stronger zone instead of drawing two overlapping boxes. The label shows both sources — — and the level receives a confluence strength bonus. These merged zones are your highest-priority trade levels.
🔷 Advanced Strength Scoring
Every level carries a live strength score (★) that accumulates over time. Each touch is scored individually based on:
Wick size relative to candle range (how strongly price rejected)
Distance of close from the level (how convincingly price pulled back)
Whether volume was above average on that candle
Whether a strong body / engulfing candle formed
A barely touching wick scores ~0.5. A high-volume hammer rejection scores ~5–6. The score drives both zone opacity and zone width — strong levels appear bold and wide, weak levels fade visually.
🔷 Volume-Based Break Filter
A level is only invalidated when price closes beyond it and volume meets a configurable threshold (default: 1× average volume). Low-volume spikes through a level are ignored as false breakouts — the zone remains valid. Break alerts include the volume ratio so you know the conviction behind the move.
🔷 Adaptive Zone Visuals
No right extension — zones terminate at the current bar (valid) or the break bar (broken). No infinite lines cluttering the right side of your chart.
Opacity scales with strength — strongest levels are most visible, weakest levels are nearly transparent.
Zone width scales with strength — high-confidence zones are wider, giving a visual sense of the price area's importance.
🔷 Clean Labels
Each label shows the full picture at a glance:
21450.00 ★6.5 ×3
Timeframe source | Price | Strength score | Touch count
Settings Guide
SettingWhat it doesPivot LengthBars each side to confirm a pivot. Higher = fewer, stronger levelsMin StrengthHide levels below this score. Raise to show only confirmed levelsATR Merge DistanceHow close two levels must be to merge into oneInvalidationClose-based (reliable) or Wick-based (faster) break detectionVolume Break FilterRequire above-average volume to confirm a breakoutMin Volume MultiplierHow many times average volume needed to confirm a breakMax Active LevelsCap total zones shown on chartStrength → Zone OpacityToggle adaptive opacity based on strength score
How to Use
Bounce trades — price enters a green (support) zone → wait for a rejection candle with volume → enter above the rejection candle high, SL below zone bottom.
Rejection trades — price enters a red (resistance) zone → wait for a bearish candle with volume → enter below candle low, SL above zone top.
Breakout trades — price closes beyond a zone with high volume (break alert fires) → wait for pullback to the broken level → trade in the direction of the break.
Highest priority setups — zones tagged or with ★ score above 5 and multiple touches. These are the levels institutional money respects.
Alerts
The indicator fires alert() calls for:
Break confirmed — includes ticker, price, and volume ratio
Retest — includes ticker, price, and touch quality score
Set alert condition to "Any alert() function call" in TradingView's alert dialog.
Notes
Designed and tested on NSE/BSE equities and F&O stocks
Works on any timeframe from 1 minute to Weekly
All calculations are original — pivot detection, strength engine, confluence merge, and volume filter are built from scratch in Pine Script v6 Indicator
Indicator
EMA Ride Scanner V2.a (Toggle) - AshishShort Description
A dual-mode EMA9/21/50 trend-ride scanner with volume classification and a relative-strength "Grinder Mode" for stocks that trend without ever coiling tight enough to trigger a squeeze. Use alongside its companion, SQZ_SCAN, for momentum timing.
What it does
EMA Ride Scanner V2.a finds stocks in a clean, established uptrend and flags healthy pullback zones to buy — instead of chasing breakouts after the move has happened. Built on ideas from Qullamaggie's Episodic Pivot framework, Stockbee's price-neglect filter, and VCPSwing's 10/20-MA ride philosophy.
It checks: EMA9>21>50 stack alignment, minimum ride duration, distance from 52-week low, and volatility contraction. Volume bars are color-coded as EP surges, distribution, or healthy dips.
Two modes (single toggle)
Standard Mode (toggle OFF) — for stocks that coil and release. Flags a 0-5% pullback to EMA9, ideally on light volume. Pair with SQZ_SCAN for the breakout-timing signal.
Grinder Mode (toggle ON) — for stocks that never coil. Some strong trends have such low, steady volatility that they never compress enough to trigger a squeeze — by the time SQZ_SCAN fires, they've already run too far from EMA9 to count as a dip. Grinder Mode drops the squeeze requirement and instead checks: low ATR, long ride above EMA21, and meaningful outperformance vs a benchmark index (momentum begets momentum). If price is also near EMA9/21, it flags a Grinder Setup.
Note: cloud-bounce count is shown for visual reference only, not used as a filter — low-ATR stocks often show very few bounces simply because they ride EMA9 continuously rather than dipping and recovering.
Companion: SQZ_SCAN
SQZ_SCAN shows when volatility compression releases into a confirmed move — WATCH (squeeze building), EARLY FIRE (just released), or BUY (released + volume confirmed). NOTE: As with most indicators, this is a lagging indicator on a daily timeframe, and accuracy reduces significantly on lower timeframes.
Workflow:
Screen with EMA Ride Scanner (Standard Mode) for clean pullback candidates.
Check SQZ_SCAN on each — prioritize WATCH/EARLY FIRE/BUY.
Separately, screen Grinder Mode for low-volatility names — don't require SQZ confirmation here, it structurally won't fire for this archetype.
Sanity-check on hourly before entry — only to rule out an active breakdown, not as a hard gate. Both indicators are daily-timeframe tools; hourly readings are noisy and shouldn't override a valid daily setup.
What this isn't
A screening tool, not a full trading system — no buy/sell signals, no risk management built in. Combine with your own entry timing, sizing, and stops. Indicator
Liquidity Sweep Retracements [MarkitTick]💡An advanced analytical framework designed to decode market micro-structure by evaluating the depth, speed, and statistical probability of price pullbacks. Rather than relying solely on static Fibonacci levels, this tool dynamically tracks the historical characteristics of an asset's swing behavior, alerting the user to structural anomalies and shifts in momentum. By intersecting retracement analysis with liquidity sweep detection and a built-in heatmap, this framework offers a comprehensive lens into market behavior, isolating environments where trend continuation is highly probable versus areas prone to exhaustion.
✨ Originality and Utility
Standard market analysis often relies on rigid tools that do not adapt to changing volatility conditions. This script introduces a highly original dynamic evaluation method by actively saving the characteristics of recent price swings into an internal array and establishing a moving statistical baseline.
The primary utility of this script lies in its multidimensional analysis. It does not just measure how far price has pulled back; it calculates how fast the pullback occurred and compares this velocity to the asset's recent historical baseline. This enables the framework to categorize price action not merely as a "pullback," but as a statistically significant "Anomaly" or an "Aggressive" move. Furthermore, by weaving Higher Timeframe (HTF) trend alignments and localized liquidity sweep detections into a single, cohesive dashboard and visual charting environment, it reduces chart clutter while exponentially increasing the depth of available data.
🔬 Methodology and Concepts
● Swing Structuring and Pivot Detection
The foundational logic relies on identifying structural pivot highs and lows through a localized lookback and look-forward window. The algorithm requires a definitive peak or trough isolated by user-defined left and right bars, establishing the anchor points for all subsequent mathematical measurements.
● Dynamic Retracement Scoring
Once a swing structure is confirmed, the script calculates the exact percentage of the retracement relative to the preceding impulse. These percentages are continuously categorized into defined behavioral zones:
Impulse (Less than 23%)
Shallow (Less than 38%)
Healthy (Up to 61.8%)
Deep (Up to 78.6%)
Reversal (Beyond 78.6%)
● Retracement Momentum Velocity (RMV)
Time and price are merged to extract velocity. By dividing the total percentage of the retracement by the number of bars it took to form, the script generates a velocity reading. This reading is dynamically compared against an array of historical velocities to determine if the current counter-trend move is unusually aggressive.
● Statistical Anomaly Detection
The script manages historical arrays of past retracement data, calculating a rolling mean (average) and standard deviation. An anomaly is triggered when a live retracement deviates significantly from this moving baseline, determined by a user-defined standard deviation multiplier. This mathematically highlights structural shifts before they mature into full trend reversals.
● Liquidity Sweep Verification
The indicator actively monitors price interactions with localized structural extremes. A bullish sweep occurs when price pierces a recent significant low but closes decisively above it, creating a structural trap. Bearish sweeps apply the inverse logic to structural highs.
🎨 Visual Guide
● Heatmap Candles
The script overrides standard candle colors with a dynamic heatmap that visually translates the health and speed of the current retracement:
Green indicates a healthy, standard retracement zone.
Orange highlights a weak zone, suggesting the trend is losing foundational strength.
Red warns of a deep structural violation bordering on a reversal.
Purple explicitly signifies an aggressive Retracement Momentum Velocity (RMV), warning of high counter-trend momentum.
● Price Action Overlays and Labels
Pivot Highs and Lows are marked precisely with small red and green crosses. (Note: These appear retroactively once the defined right-side bars confirm the pivot).
Data Labels are plotted at swing extremes. These carry a dark blue-gray background with dynamic text colors. They display the exact retracement percentage alongside quality badges, anomaly alerts (orange for opportunity, red for danger), and RMV warnings.
● Liquidity Markers
When a sweep is detected, small distinct shapes appear. "LS" text markers are plotted in bright green below bullish sweeps and bright red above bearish sweeps, visually anchoring liquidity traps directly onto the price action.
● The Analytical Dashboard
Located in the top right corner, this panel serves as the central intelligence hub. It utilizes shaded backgrounds to organize critical data natively on the chart.
Retracement and Health bars utilize block characters (█/░) to visualize strength out of 100%.
HTF Alignment displays the macro bias via clear text and color codes (Green for Bullish, Red for Bearish).
The dashboard aggregates averages, velocities, and quality metrics into a readable, high-contrast matrix.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
Traders should monitor the dynamic relationship between the visual candle heatmap and the dashboard metrics.
Trend Continuation: Look for retracements that remain within the "Healthy" or "Shallow" zones (highlighted by green candles and positive dashboard health scores) that align with a bullish HTF signal.
Anomaly Exploitation: If an anomaly label appears marking a shallow retracement (orange text warning), this historically suggests an unusually strong impulse where standard deep pullbacks may not materialize.
Exhaustion Warnings: If the candles shift to purple, indicating an RMV Aggressive state, the counter-trend velocity is statistically high. Traders may use this to delay entries until momentum normalizes, or to identify structural traps if this aggression ends in a marked Liquidity Sweep (LS marker).
⚙️ Inputs and Settings
• Swing Settings
Controls the sensitivity of pivot detection. Higher values filter out market noise for major swing structures, while lower values react quickly to micro-trends.
• Retracement and Anomaly Parameters
Dictates the maximum number of historical retracements held in the memory array. The Standard Deviation Threshold allows users to expand or contract the mathematical boundary for what qualifies as an anomaly.
• RMV (Velocity) Limits
Controls the aggression threshold. Adjusting the multiplier determines how much faster a retracement must be compared to the historical average to trigger the purple heatmap and aggressive warnings.
• Liquidity Sweeps
Defines the lookback length for identifying local highs and lows that act as liquidity pools.
• Alerts and Dashboard Configuration
Enables fully customizable JSON-formatted alerts based on statistical deviations, and allows users to toggle or completely restyle the visual dashboard and heatmap components.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is heavily anchored in statistical mechanics and kinematics principles applied to financial time-series data.
• Gaussian Distribution and Variance
Instead of utilizing fixed geometric sequences (such as the Golden Ratio), the framework treats market swings as a dataset exhibiting normal distribution characteristics. By calculating the variance and extracting the standard deviation of historical swing depths, the script establishes mathematically sound confidence intervals. When price action breaches these standard deviation bands, it represents a statistically significant outlier, formally alerting the user to a fat-tail market event.
• Financial Kinematics
The integration of Retracement Momentum Velocity (RMV) introduces physics-based kinematic principles to price action. In traditional mechanics, velocity is the rate of change of position with respect to a frame of reference. The algorithm defines the frame of reference as the structural swing, calculating velocity as the percentage of displacement per unit of time (bars). By tracking the rolling average of this velocity, the script can algorithmically determine when kinetic energy in a counter-trend direction is statistically abnormal, independent of the actual price level reached.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Indicator
XRS Swing Failure Patterns + AlertsXRS Swing Failure Patterns + Alerts is a modified version of the original LuxAlgo Swing Failure Pattern script.
The original SFP detection logic is credited to LuxAlgo. This XRS version keeps the core swing failure pattern concept while adding small modifications, styling adjustments, and dedicated alert conditions for multiple timeframes.
This indicator identifies bullish and bearish Swing Failure Patterns, where price sweeps a prior swing high or swing low and then closes back through the level. These patterns are commonly used to identify potential liquidity sweeps, failed breakouts, stop runs, and reversal areas.
Features include:
• Bullish and bearish SFP detection
• Swing length customization
• Optional volume validation
• Optional lower-timeframe volume validation
• Swing lines
• Confirmation lines
• Swing failure wick markers
• SFP labels
• Optional dashboard
• Alerts when an SFP prints on 1m, 5m, 15m, 1h, 4h, and 1D timeframes
This version was modified by XRStrading / chasingkilowatts to make the script better suited for discretionary trading workflows, especially for traders who use liquidity sweeps, session highs/lows, VWAP, order flow, and auction-market concepts.
Original Author: LuxAlgo
Modifications: XRStrading / chasingkilowatts
This script is based on original LuxAlgo work and remains subject to the original attribution and license terms.
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice. Trading involves risk. Use at your own discretion.
Indicator
Elaris Auto Trend Fibonacci ProElaris Auto Trend Fibonacci Pro
Overview
Elaris Auto Trend Fibonacci Pro is an advanced market structure and Fibonacci analysis tool designed to automatically identify directional trends, detect significant swing points, and project professional-grade Fibonacci retracement and extension levels directly on the chart.
Unlike manual Fibonacci drawing tools that require traders to constantly adjust anchor points, this indicator continuously analyzes confirmed swing structure and automatically maps the most relevant Fibonacci framework based on the current market trend.
The goal is to help traders quickly identify potential pullback zones, trend continuation areas, profit targets, and key reaction levels without manually redrawing Fibonacci levels throughout the trading session.
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How The Indicator Works
1. Swing Structure Detection
The indicator first identifies confirmed swing highs and swing lows using a configurable pivot confirmation algorithm.
A swing is only considered valid after confirmation, which helps eliminate many false or premature swing points that often appear during volatile market conditions.
The minimum swing size can also be filtered using ATR-based validation, ensuring that insignificant market fluctuations are ignored.
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2. Trend Identification
After detecting valid market structure, the indicator determines the dominant directional trend.
Bullish trends are identified when recent confirmed swing lows lead into higher confirmed swing highs.
Bearish trends are identified when recent confirmed swing highs lead into lower confirmed swing lows.
An optional EMA trend filter can be enabled to require alignment between price structure and moving average direction.
This additional layer helps reduce counter-trend Fibonacci projections.
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3. Automatic Fibonacci Mapping
Once a valid trend is detected, Fibonacci levels are automatically projected between the most relevant confirmed swing points.
The indicator plots:
• 0.236 Retracement
• 0.382 Retracement
• 0.500 Midpoint
• 0.618 Golden Ratio
• 0.786 Deep Retracement
• 1.000 Retracement
These levels represent areas where pullbacks, reactions, trend continuations, or reversals may occur.
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4. Golden Zone Highlighting
The area between the 50% and 61.8% retracement levels is automatically highlighted as the Golden Zone.
Many traders monitor this region because it often represents an area where institutional participants may re-enter an existing trend after a pullback.
The highlighted zone provides a quick visual reference for potential trend continuation opportunities.
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5. Extension Targets
The indicator can optionally project Fibonacci extension levels beyond the current trend.
Available extension targets include:
• 1.272 Extension
• 1.618 Extension
• 2.000 Extension
These levels can be used as potential profit-taking areas, trend continuation objectives, or future reaction zones.
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6. Trend Dashboard
A built-in dashboard provides real-time information including:
• Current trend direction
• Swing strength relative to ATR
• Fibonacci anchor direction
• Golden zone status
• Indicator operating mode
The dashboard helps traders evaluate current market conditions without needing additional analysis tools.
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How To Use
Trend Continuation
1. Wait for a confirmed bullish or bearish trend.
2. Allow price to retrace toward the highlighted Fibonacci levels.
3. Monitor the Golden Zone for potential continuation setups.
4. Use extension levels as potential target areas.
Pullback Analysis
The 38.2%, 50%, and 61.8% retracement levels can help identify areas where temporary corrections may end and the primary trend may resume.
Target Projection
The Fibonacci extensions can be used to estimate possible future trend objectives after a successful continuation move.
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Important Notes
• The indicator uses confirmed swing points and does not rely on future-looking calculations after confirmation.
• Fibonacci levels automatically update when a new confirmed market structure is established.
• The indicator is designed for trending markets and may generate fewer meaningful projections during prolonged ranging conditions.
• This tool is intended for technical analysis and should not be used as a standalone trading system.
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Best Markets
The indicator can be applied to:
• Cryptocurrency Markets
• Forex Markets
• Stock Markets
• Index Markets
• Commodity Markets
It is particularly effective on higher liquidity instruments where market structure tends to be more consistent.
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Best Timeframes
Recommended timeframes:
• 15 Minutes
• 1 Hour
• 4 Hours
• Daily
Higher timeframes generally produce more reliable market structure and Fibonacci projections.
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Alerts
The indicator includes alerts for:
• Trend direction changes
• Golden Zone interactions
• Key Fibonacci level breaks
These alerts can be integrated into trading workflows for additional monitoring and confirmation.
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Thank you for using Elaris Auto Trend Fibonacci Pro.
Indicator
Liquidity Sweeps [Quantum Algo]Liquidity Sweeps is an open-source liquidity sweep indicator that maps resting
liquidity at swing highs and swing lows, then flags the exact moment that liquidity is swept and
rejected — the classic stop-hunt behaviour traders watch for in Smart Money Concepts (SMC).
WHAT IS A LIQUIDITY SWEEP?
A liquidity sweep (also called a liquidity grab or stop hunt) happens when price briefly spikes
beyond an obvious swing high or swing low — where stop-loss and breakout orders rest — and then
closes back inside the prior range. The wick takes the liquidity; the close shows the breakout
failed. Liquidity sitting above swing highs is buy-side liquidity (BSL); liquidity sitting below
swing lows is sell-side liquidity (SSL).
A bearish liquidity sweep occurs when buy-side liquidity above a swing high is swept and price
closes back below it. A bullish liquidity sweep occurs when sell-side liquidity below a swing low
is swept and price closes back above it.
HOW THE INDICATOR WORKS
- It detects confirmed swing highs and swing lows using a configurable pivot strength, and draws a
liquidity level at each one. Buy-side levels sit above price; sell-side levels sit below.
- Each level extends to the right until it is interacted with.
- When a candle wicks through a level but closes back inside, the indicator marks a liquidity
sweep with a label and an optional highlight on the sweeping wick.
- An optional volume filter confirms only sweeps where the sweeping candle trades above its
average volume, filtering out low-conviction wicks.
- If price instead closes fully through a level, that is treated as a clean break (a plain
liquidity grab / breakout), not a sweep, and the level is retired without a signal.
WHAT IT SHOWS
- Mapped buy-side (BSL) and sell-side (SSL) liquidity levels.
- Bullish and bearish liquidity sweep markers, the moment a level is swept and rejected.
- Optional wick highlighting on the sweep candle.
- A dashboard showing bullish/bearish sweep counts, the last sweep direction, and the nearest
un-swept buy-side and sell-side levels with their percentage distance from price.
HOW TO USE IT
Liquidity sweeps are most useful as a timing and context tool, not a standalone buy/sell system.
A common workflow:
- Mark the obvious highs and lows where liquidity is likely resting.
- Wait for a sweep into one of those pools (a wick through, close back inside), ideally with the
volume filter confirming participation.
- Look for confirmation in your own process — a market-structure shift, an order block, a
fair-value-gap fill, or higher-timeframe trend alignment — before acting.
- A bearish sweep above resistance can precede a move down; a bullish sweep below support can
precede a move up. Always define risk beyond the swept extreme.
SETTINGS
- Pivot Strength: how many bars define a swing; higher values keep only major liquidity pools.
- Max Levels per Side: how many recent levels to keep mapped.
- Volume Confirmation: toggle, average length, and multiplier to qualify a sweep.
- Treat Clean Breaks as Grabs: retire levels that are broken through rather than swept.
- Line width, style, and transparency for clear level visibility.
- Full colour controls and a movable dashboard.
ALERTS
Three named alert conditions are included: Bullish Liquidity Sweep, Bearish Liquidity Sweep, and
Any Liquidity Sweep.
DISCLAIMER
For educational purposes only. This is a technical analysis tool, not financial advice, and it does
not predict price. Trading involves risk and you can lose your capital. No indicator is profitable
on its own — always do your own research and use proper risk management. Indicator
Smart Gap & Support and Resistance Breakout [MarkitTick]💡 This technical analysis script provides a highly sophisticated framework for market structure mapping, gap categorization, and breakout validation. By tracking structural pivot points and combining them with algorithmic gap analysis, the indicator systematically identifies areas of significant price imbalance and evaluates their impact on subsequent price action. The tool dynamically maps historical and developing support and resistance levels across multiple timeframes, integrating volume analysis and time-decay functions to ensure only the most relevant structural levels remain active. Designed for robust technical evaluation, it utilizes a strict non-repainting architecture for its multi-timeframe data retrieval, ensuring historical integrity during retrospective analysis.
✨ Originality and Utility
While many indicators plot basic support and resistance levels or highlight price gaps, this tool introduces a high degree of originality through its algorithmic synthesis and mashup methodology. The combination of structural pivot tracking and gap categorization is a deliberate and logical confluence. Gaps inherently represent sudden shifts in supply and demand, frequently acting as hidden support or resistance zones. By merging gap analysis with traditional pivot-based market structure, the script provides a unified view of market geometry.
Furthermore, the script distinguishes itself by categorizing gaps dynamically into three distinct types: Breakaway, Runaway, and Exhaustion. Rather than treating all price voids equally, it applies contextual logic—such as trend maturity and volume confirmation—to evaluate the probabilistic nature of the gap. The utility is further enhanced by an advanced multi-timeframe engine that overlays macro structural levels onto the active chart without introducing lookahead bias, providing traders with a pristine, top-down analytical perspective within a single pane.
🔬 Methodology and Concepts
● Structural Pivot Detection
The foundation of the script relies on identifying Swing Highs and Swing Lows.
A Pivot High is established when a specific high price is preceded and followed by a defined number of lower highs.
A Pivot Low is established when a specific low price is preceded and followed by a defined number of higher lows.
These points act as the empirical anchors for drawing support and resistance lines.
● Gap Categorization Engine
The script continuously scans for bullish and bearish price gaps (defined as a strict price void between the current low/high and the high/low of two bars prior, combined with directional candle confirmation). Once a gap exceeds the minimum size threshold, it is classified using the following methodology:
Breakaway Gaps (BW): Identified if the gap's occurrence coincides with the breaking of the most recently established structural pivot level. This signifies a forceful escape from a prior consolidation or trend phase.
Exhaustion Gaps (EX): Identified if the gap occurs after a prolonged trend duration (trend maturity) and is accompanied by a significant volume spike. This logic assumes that late-stage acceleration coupled with extreme volume often represents climatic buying or selling.
Runaway Gaps (RW): Any valid gap that does not meet the strict criteria for Breakaway or Exhaustion is classified as Runaway, representing standard trend continuation.
● Non-Repainting Multi-Timeframe Integration
To map higher timeframe (HTF) levels onto the lower timeframe (LTF) chart safely, the script employs a strict index-offset methodology. When fetching HTF pivot data, the script references the previous bar's calculated state while utilizing a lookahead parameter. This architectural design explicitly prevents future data leakage (lookahead bias), ensuring that historical backtesting and real-time execution behave identically.
● Breakout and Time-Decay Logic
Support and resistance lines are evaluated for breakouts based on closing prices. A breakout is only considered valid if the closing price decisively crosses the level and, if volume confirmation is enabled, the breakout bar's volume exceeds the defined moving average threshold. To maintain a clean visual workspace, levels can be subjected to a time-decay function, removing them from the chart after a user-defined number of bars.
🎨 Visual Guide
● Support and Resistance Lines
Green Lines: Represent active support levels derived from current timeframe pivot lows.
Red Lines: Represent active resistance levels derived from current timeframe pivot highs.
Thick Light Blue Lines: Highlight major support levels from the higher timeframe.
Thick Orange Lines: Highlight major resistance levels from the higher timeframe.
● Market Structure Labels
Red "HH" / "LH" Labels: Denote Higher Highs or Lower Highs at resistance pivots.
Blue/Green "LL" / "HL" Labels: Denote Lower Lows or Higher Lows at support pivots.
Purple "EH" / "EL" Labels: Indicate Equal Highs or Equal Lows.
● Gap Visualization Boxes
Blue Boxes: Highlight Breakaway Gaps (BW).
Orange Boxes: Highlight Runaway Gaps (RW).
Red Boxes: Highlight Exhaustion Gaps (EX).
Dotted Mid-Lines: Each gap box contains a dotted line calculating the exact mathematical midpoint of the gap, often acting as a highly reactive micro-level.
● Breakout Markers
Green Upward Triangles (▲): Plotted below the price to indicate a confirmed breakout of a resistance level. The number indicates how many distinct resistance levels were broken on that bar.
Red Downward Triangles (▼): Plotted above the price to indicate a confirmed breakdown of a support level.
Cyan/Orange Triangles: Represent breakouts of higher timeframe (HTF) levels.
📖 How to Use
● Interpreting Gap Signals
Breakaway Gaps: When a blue Breakaway gap forms, it suggests the initiation of a new directional phase. Traders typically monitor the borders of this gap to act as strong support or resistance upon any subsequent retests.
Runaway Gaps: The appearance of an orange Runaway gap confirms underlying trend strength. The midpoint of these gaps (the dotted line) is often used to gauge short-term trend health.
Exhaustion Gaps: A red Exhaustion gap serves as a cautionary signal. Because it indicates mature trend fatigue coupled with high volume, it suggests that the current directional momentum may be nearing a terminal phase or sharp retracement.
● Trading Support and Resistance Breakouts
Structural Mapping: Use the dynamically drawn S/R lines to identify the boundaries of the current market range.
Volume Confirmation: When the indicator plots a breakout triangle, ensure that it aligns with your broader directional bias. If the volume confirmation setting is active, the triangle inherently signifies that the breakout possessed above-average participation, increasing the mathematical probability of continuation.
Multi-Timeframe Confluence: Pay special attention when current timeframe price action interacts with the thicker HTF lines. A breakout that fractures both a LTF and HTF resistance level simultaneously carries significantly more structural weight.
⚙️ Inputs and Settings
● Swing Logic
Left Bars / Right Bars: Determines the number of bars required on either side of a candle to confirm a structural pivot. Higher values yield longer-term, more significant levels.
Max Stored Levels: Controls how many historical S/R lines remain active on the chart to prevent visual clutter.
Max Break Labels: Limits the number of historical breakout triangle markers displayed.
● Usability and Time Decay
Multi-Timeframe: Allows overriding the base timeframe for calculations.
Enable Time Decay: When activated, S/R levels that remain untested or unbroken will automatically expire and be removed from the chart.
Decay Period (Bars): The specific threshold of bars after which an untested level is deleted.
● Higher Timeframe (HTF) Levels
Enable HTF Levels: Toggles the calculation and plotting of macro S/R lines.
HTF Timeframe: The target timeframe for macro structural analysis (e.g., Daily, Weekly).
Hide Current TF When HTF Active: A visual filter to isolate only macro levels when desired.
● Algorithmic Filters and Analysis
Volume Confirmation: When true, breakouts are only validated if the bar's volume exceeds a moving average.
Min Gap Size (Points): Establishes a raw point threshold that a price void must exceed to be classified as a gap, filtering out negligible price skips.
Volume Spike Multiplier: The factor by which current volume must exceed the average to trigger Exhaustion gap logic.
Trend Maturity (Bars): The minimum number of bars a trend must have persisted from the last major pivot to allow for an Exhaustion gap classification.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory and Liquidity Voids
The gap categorization matrix within this script is deeply rooted in Auction Market Theory (AMT). In AMT, price discovery is a continuous auction searching for liquidity. A gap represents a structural liquidity void—a pricing zone where no double-sided auction occurred due to extreme urgency from either buyers or sellers. The script's identification of Breakaway gaps mathematically isolates moments where this urgency successfully overcomes historical supply or demand nodes (the pivots). The dotted midpoint lines inside the gap boxes serve as theoretical "Fair Value" approximations for the void, representing the mean reversion target if the market attempts to repair the inefficient auction.
● Volume Spread Analysis (VSA) Integration
The Exhaustion gap classification heavily relies on principles derived from Volume Spread Analysis. In VSA, volume represents the effort of market participants, while price spread represents the result. The script mathematically quantifies an anomaly: when an extended trend (measured by the Trend Maturity parameter) produces a sudden gap on extreme volume (measured by the Volume Spike Multiplier), it implies climactic transfer of inventory from strong hands to weak hands. The algorithmic detection of these specific variables provides a quantifiable method for identifying trend exhaustion without relying on lagging, bounded oscillators.
● Fractal Market Geometry
By rendering both LTF and HTF structural pivots within the same visual plane, the script operationalizes the concept of fractal market geometry. Financial time series exhibit self-similarity across different scales. A pivot high on a 15-minute chart is formed by the same behavioral mechanics as a pivot high on a Daily chart, but they carry vastly different liquidity weights. The script's strict index-offset MTF architecture ensures that the geometric relationship between these distinct fractal layers is evaluated with absolute temporal accuracy, providing a mathematically sound representation of macro supply and demand overlaying micro price action.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Indicator
EMA Trend Dash Board by [Itto Ryu]# EMA Trend Dash Board — Trend stage classifier on a 5-EMA stack
A pure-EMA trend dashboard. Five exponential moving averages (10/20/50/100/200)
plus three derived signals — stack alignment, EMA50 slope, and the fast-vs-trend
gap — classify the market into one of four trend stages: ACCEL → MATURE → DECEL
→ REVERSAL. A 0-to-100 Bull/Bear score and a state-machine VERDICT row summarise
all of it in a single glance.
## What's different from a generic EMA ribbon
Most EMA-ribbon scripts only colour the EMAs. This one adds:
1. **Stage classification** — instead of "trending vs ranging", the script tells
you *where in the trend you are*. Stage 1 (ACCEL) is for adds; Stage 3 (DECEL)
warns to trim; Stage 4 (REVERSAL) tells you the stack has lost alignment.
2. **Bull/Bear score (0–100)** — composed of:
- Price-above-EMA: 8 pts each (max 40)
- Stack-pair ordering: 10 pts each (max 40)
- Trend-EMA slope direction: 10 pts
- Gap expansion (only when stack aligned): 10 pts
3. **Verdict state machine** — combines stage + score into one action label
(STRONG SETUP, SIGNAL CLEAR, TREND ACCEL, EASE, WATCH, EXIT, ...).
## Defaults (and why)
| Input | Default | Reasoning |
|---|---|---|
| EMA lengths | 10 / 20 / 50 / 100 / 200 | Classic Stan Weinstein / Mark Minervini ladder |
| Slope/Gap lookback | 5 bars | Catches turns without over-smoothing on intraday |
| Slope flat threshold | 0.1% | Below this magnitude the trend EMA is treated as flat — avoids false up/down on chop |
| Gap expansion threshold | 0.05% | Min change in |gap| to count as expanding/compressing |
| Dashboard | top_right, normal | Standard placement; tiny/small for low-res screens |
## Visual elements
| Element | Meaning |
|---|---|
| 5 EMA lines | EMA 1 (fast, yellow) → EMA 5 (long, slate). EMA 3 (Trend, pink) drawn thicker as the slope reference |
| Fast-Trend fill | Green when EMA1 > EMA3, red otherwise. Quick visual on momentum direction |
| Right-edge labels | EMA name tags at the latest bar |
| Dashboard | Trend / EMA Stack / Trend Dynamics / Scoring / Signal / Verdict sections |
## Who this is for
- Trend-following swing traders who already use EMA stacks but want a state read-out
- Discretionary traders who want a "what stage am I in?" check without staring at the chart
- Anyone replacing 3-4 separate EMA indicators with one consolidated dashboard
## Who this is NOT for
- Pure mean-reversion / range traders — EMAs are the wrong tool
- Tick scalpers — the stage/gap thresholds are tuned for swing+intraday, not sub-minute
- Anyone needing entry/exit signals automated — this is a *read-out*, not a strategy
## How to use
1. Apply on standard candle chart, any timeframe (works best 15m → Daily)
2. Read the **Stage** row first — that's your context
3. Cross-check with **Verdict** row — that's your action
4. The Bull/Bear bars give a confidence reading; the SIGNAL row gives the discrete label
5. Configure alerts on STRONG Long/Short or Stack Broken for hands-off monitoring
## Common mistakes
- **Entering on Stage 4 just because Verdict says STRONG SETUP** — Stage 4 = stack lost alignment, by design it forces a re-check. Wait for re-alignment.
- **Reading dashboard on Heikin Ashi** — EMAs are calculated on HA close (a smoothed value), not real close. Numbers will not match a standard-chart EMA. Use standard candles for the dashboard.
- **Tuning EMA lengths for one symbol and assuming portability** — re-test on each instrument; trend EMAs are regime-dependent.
## Disclosure
- **Pine version**: v6
- **Repaint**: NO — all calculations use confirmed-bar data. Dashboard and right-edge labels refresh on the last bar (cosmetic only) and do not modify historical bars.
- **Lookahead**: NONE — no `request.security` calls.
- **Chart type**: Designed for standard candle charts. On Heikin Ashi / Renko / Range / PnF / Kagi the EMA values are calculated against the chart's synthetic close and will not match a standard-chart EMA.
- **Originality**: Generic 5-EMA inputs; novel additions are the Stage classifier, Bull/Bear scoring weights, and Verdict state machine.
- **Predecessor**: Extracted from the author's earlier "Ichimoku Trend Dash Board" (Ichimoku + EMA combined). This EMA-only variant strips Ichimoku, ADX, RSI, MACD, and SL/TP logic for a focused trend-stage read.
## Disclaimer
For educational purposes only. Not financial advice. Trading involves
substantial risk of loss — past performance does not guarantee future results.
You are solely responsible for your own trading decisions. Script provided
"as is" with no warranty; author is not liable for any losses. Indicator
Swing Gradient TPOs [BOSWaves]Swing Gradient TPOs - Swing-Anchored Time Price Opportunity Profiles with Gradient Chronology and Single Print Detection
Overview
Swing Gradient TPOs is a swing-anchored market profile system that constructs Time Price Opportunity profiles within each detected swing range, where letter assignment, gradient coloring, POC identification, and single print detection are driven by chronological time period progression across the swing rather than fixed session boundaries or arbitrary time windows.
Instead of applying TPO profiles to calendar sessions or user-defined time blocks, this system anchors each profile to the confirmed swing structure of the instrument itself, building a complete letter-by-letter participation map for every swing from high to low and low to high. Each time period within the swing receives a sequential alphabetical letter, and those letters are colored using a configurable gradient that visually encodes the chronological progression of price activity from swing origin to completion.
This creates a profile framework that reflects how participation distributed across price within each structural swing rather than within arbitrary time containers. The gradient coloring reveals whether price visited certain levels early or late in the swing's development, the POC identifies the price level with the greatest time-based participation, the value area captures the range containing the configured percentage of total activity, and single print zones mark levels touched by only a single time period and project them forward as potential reaction areas until price revisits them.
Price structure and participation distribution are therefore evaluated together, with each swing producing a self-contained profile that answers both where price spent time and when within the swing that activity occurred.
Conceptual Framework
Swing Gradient TPOs is founded on the principle that TPO-based market profile analysis becomes structurally meaningful when profiles are anchored to confirmed swing boundaries rather than to session times that carry no relationship to the instrument's actual directional behavior.
Traditional market profile approaches build TPO distributions within daily or weekly sessions, which imposes a time container on the data that is independent of how price is actually behaving structurally. This framework replaces session-based profile construction with swing-event-driven profile building, where each profile begins at a confirmed swing extreme and ends at the next confirmed swing extreme in the opposing direction, ensuring the participation map covers exactly one complete directional structural move.
Three core principles guide the design:
TPO profiles should be anchored to swing structure rather than calendar time, ensuring each profile captures participation within a single directional move rather than across an arbitrary time boundary that may span multiple structural events.
Gradient coloring should encode chronological letter progression visually, revealing whether price visited particular levels early or late in the swing rather than treating all activity within the swing as temporally equivalent.
Single print zones represent structurally significant levels visited by only one time period and should be projected forward as active reference areas until price returns to test them, at which point reclaim or rejection behavior provides actionable signal context.
This shifts market profile analysis from session-container-based participation tracking into swing-anchored structural profile construction with gradient-encoded temporal intelligence and forward-projecting single print monitoring.
Theoretical Foundation
The indicator combines swing high and low detection through highest and lowest lookback comparison, alphabetical letter assignment by configurable TPO timeframe period, three-color gradient interpolation for chronological letter coloring, POC identification through maximum TPO count per price bin, value area expansion from POC outward, single print detection and forward projection, and retest signal generation when price sweeps and reclaims a single print zone.
Swing detection tracks whether the most recent extreme high or low is the highest or lowest reading in the lookback window, registering a swing point when price rotates away from a prior extreme. TPO letter assignment maps each bar within the swing to a time period based on the ratio between the chart timeframe and the configured TPO timeframe, with sequential alphabet letters A through Z then a through z assigned chronologically across the swing's duration. Gradient coloring maps each letter's alphabetical index to a position along a three-stop gradient, producing a color sequence that progresses from swing start to swing end. Price bins are calculated from the swing range divided into segments sized relative to recent ATR, with each bin's letter count determining POC and value area membership.
Four internal systems operate in tandem:
Swing Detection Engine : Tracks highest and lowest readings over the configurable lookback window, registering confirmed swing highs and lows when price rotates away from prior extremes and triggering profile construction on each swing direction change.
TPO Profile Builder : Assigns sequential alphabetical letters to time periods within each swing, maps each bar's high and low range to the appropriate price bins, accumulates letter strings and counts per bin, and derives POC and value area from the resulting distribution.
Gradient Chronology Engine : Maps each letter's sequential index to a position along a configurable three-stop gradient, producing coloring that encodes when within the swing each price level was visited rather than applying uniform directional color across the entire profile.
Single Print Detection and Signal System : Identifies price bins touched by exactly one time period letter, projects those zones forward as extended boxes until price revisits them, monitors for sweep-and-reclaim behavior with configurable cooldown, and generates directional retest signals when qualifying conditions are met.
This design allows each swing to produce a complete participation profile with temporal depth encoded visually, while structurally significant single print zones remain active as forward reference areas with signal generation capability.
How It Works
Swing Gradient TPOs evaluates price through a sequence of structure-aware and profile-building processes:
Swing Direction Tracking : On each bar, price is compared against the highest high and lowest low over the configured lookback. When the current high matches the lookback high, the swing is classified as transitioning to a downswing. When the current low matches the lookback low, it is classified as transitioning to an upswing.
Swing Point Registration : When price rotates away from a prior extreme, the swing point price and bar index are recorded for both highs and lows independently, maintaining the most recent confirmed swing high and low as profile anchors.
Profile Build Trigger : When swing direction changes, a profile build is triggered using the recorded swing high and low as boundaries, constructing the complete TPO distribution for the completed swing.
Price Bin Calculation : The swing range is divided into bins sized relative to a smoothed ATR-derived tick amount, capped at 80 bins to maintain visual clarity and computational efficiency.
Letter Assignment and Accumulation : Each bar within the swing is mapped to a time period letter based on the ratio of the configured TPO timeframe to the chart timeframe. For each bar, its high and low determine which price bins it touches, and the period letter is appended to each qualifying bin's letter string if not already present.
POC Identification : The bin with the greatest accumulated letter count is identified as the Point of Control, representing the price level with the most time-based participation across the swing.
Value Area Expansion : Starting from the POC bin, the value area expands outward by adding the adjacent bin with the greater letter count, continuing until the accumulated count reaches the configured value area percentage of total swing activity.
Gradient Color Mapping : Each letter's alphabetical index is divided by the maximum period index to produce a normalized position along the three-stop gradient, assigning colors that progress from the gradient start color early in the swing to the gradient end color late in the swing.
Single Print Identification and Projection : Bins with exactly one letter in their string are classified as single prints and, when the extension setting is enabled, receive forward-projecting zone boxes that extend rightward on each bar until price enters the zone.
Single Print Sweep and Reclaim Detection : When price enters a single print zone the zone is marked as swept. If price then exits the zone in the opposing direction and closes beyond the zone boundary with sufficient cooldown observed, a directional retest signal is generated.
Real-Time Profile Rendering : On the last bar, the developing swing from the most recent confirmed extreme to current price is rendered as a live TPO profile that updates with each new bar, providing a continuously refreshing participation map for the current incomplete swing.
Together, these elements form a continuously updating swing profile system where each completed swing produces a gradient-encoded participation map, single print zones project forward as active structural references, and retest signals identify price reclaims of structurally thin areas.
Interpretation
Swing Gradient TPOs should be interpreted as a swing-anchored participation distribution system with temporal depth encoding and forward-projecting structural reference zones:
TPO Letter Boxes : Each lettered box represents a single time period's visit to that price level within the swing. The letter itself identifies which time period made the visit, and the gradient color reveals where in the swing's chronological sequence that period falls.
Gradient Coloring : The gradient progression from swing start to swing end colors early-swing activity in the gradient start color and late-swing activity in the gradient end color, visually encoding whether price visited each level early or late in the structural move.
Point of Control (POC) : The horizontal line through the price level with the most accumulated TPO letters represents the level where price spent the greatest amount of time within the swing, acting as a gravitational reference for the swing's dominant auction zone.
Value Area : The vertical line at the swing origin spanning the value area high and low with dotted horizontal boundary projections marks the price range containing the configured percentage of total swing TPO activity, identifying the zone of concentrated acceptance during the swing.
Single Print Zones (Highlighted) : Price bins touched by exactly one time period letter are visually distinguished within the profile, indicating levels that price passed through quickly without sustained participation, representing structurally thin areas vulnerable to future reaction.
Single Print Extensions (Projected) : When extension is enabled, single print zones project forward as shaded boxes beyond the swing boundary, maintaining active visual reference until price revisits the zone and the extension is consumed.
Retest Signals : Arrow signals generated when price sweeps through an extended single print zone and then reclaims it by closing beyond the zone boundary, identifying potential continuation opportunities at structurally thin levels that have now been tested and defended.
Real-Time Profile : The developing profile on the current incomplete swing updates continuously with each new bar, providing a live participation map anchored to the most recent confirmed swing extreme using the same gradient, POC, and value area logic as completed historical swings.
POC location, value area boundaries, gradient temporal distribution, and single print zone positioning collectively provide more structural and participatory intelligence than any element in isolation.
Signal Logic & Visual Cues
Swing Gradient TPOs presents two retest signal types derived from single print zone interaction:
Bullish Single Print Reclaim : Generated when price sweeps into a bullish single print zone from an upswing and subsequently closes above the zone's upper boundary, indicating the structurally thin area has been swept and reclaimed with bullish resolution.
Bearish Single Print Rejection : Generated when price sweeps into a bearish single print zone from a downswing and subsequently closes below the zone's lower boundary, indicating the structurally thin area has been swept and rejected with bearish resolution.
Both signal types require the zone to have been swept before reclaim or rejection can register, and a configurable cooldown enforces minimum bar separation between consecutive signals to prevent clustering during active zone interaction.
Alert generation covers completed swing high and swing low events as well as bullish and bearish single print reclaim signals for systematic structural and zone-based monitoring workflows.
Strategy Integration
Swing Gradient TPOs fits within market profile-informed and structure-based participation analysis approaches:
POC Reaction Trading : Monitor price behavior when it returns to a prior swing's POC level. The POC represents the most accepted price within the swing and frequently acts as a reference for future support, resistance, or reversion behavior.
Value Area Boundary Framing : Use value area high and low projections as structural boundary references, with price outside the value area representing potential imbalance and price returning to the value area suggesting reversion toward prior acceptance.
Single Print Zone Trading : Use extended single print zones as anticipatory structural references, monitoring price behavior on approach for the sweep-and-reclaim or sweep-and-reject patterns that trigger retest signals.
Gradient Temporal Analysis : Use gradient distribution within each swing to assess whether participation at key levels occurred early or late in the move. Heavily late-swing activity at a level suggests climactic behavior, while early-swing concentration may indicate initial acceptance or rejection zones.
Real-Time Profile Monitoring : Use the developing live profile to assess current swing participation distribution in real time, identifying emerging POC levels and single prints within the active structural move before it completes.
Multi-Swing Profile Comparison : Compare POC locations, value area widths, and single print density across successive swings to assess whether participation is concentrating or dispersing as the broader trend develops.
Technical Implementation Details
Swing Detection : Highest and lowest lookback comparison with direction tracking and confirmed extreme registration on price rotation
TPO Construction : Alphabetical letter assignment by timeframe-ratio-derived period with per-bin letter string accumulation and count tracking
Profile Analytics : Maximum count POC identification, outward value area expansion to configurable percentage threshold, and single print bin classification
Gradient Engine : Three-stop gradient interpolation with letter index normalized to maximum period for chronological color mapping
Single Print System : Array-managed forward-projecting zone boxes with sweep state tracking, reclaim direction testing, and cooldown-gated signal generation
Real-Time Rendering : Last-bar-triggered live profile construction rebuilding on every bar update with independent box and line arrays cleared and redrawn each render cycle
Visualization : Per-letter TPO boxes with gradient, POC, and value area coloring, POC dual-line overlay, value area vertical and horizontal boundary lines, single print zone extensions, and retest signal arrows
Performance Profile : Optimized with calc_bars_count and max_bars_back configuration and array size caps for object management across extended histories
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Intraday swing profile mapping with shorter swing length and faster TPO timeframe for responsive participation tracking within intraday structural moves
15 - 60 min : Session-level swing profile analysis with balanced swing length and TPO timeframe producing meaningful letter distributions across typical session swings
4H - Daily : Swing-level structural participation mapping with longer swing detection and higher TPO timeframe for profiles that reflect multi-day directional move participation
Suggested Baseline Configuration:
Swing Length : 12
TPO Timeframe : 30
Box Width : 2
Show POC : Enabled
Show Value Area : Enabled
Value Area % : 70
Gradient Preset : Sunset
Highlight Single Prints : Enabled
Extend Single Prints : Enabled
Show Retest Signals : Enabled
Signal Cooldown : 5
These suggested parameters should be used as a baseline; their effectiveness depends on the instrument's swing frequency, typical swing range, and preferred profile granularity, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Swings too frequent : Increase Swing Length to require more bars on each side of an extreme before it registers as a confirmed swing point, filtering minor oscillations and producing fewer, more structurally significant profiles.
Swings too infrequent : Decrease Swing Length toward 10 for more sensitive swing detection, producing profiles on smaller structural moves within the overall trend.
Too few letters per profile : Decrease TPO Timeframe to assign letters to shorter time periods, increasing letter density within each swing and producing more granular participation distributions.
Too many letters cluttering the profile : Increase TPO Timeframe so each letter covers a longer period, reducing letter density and producing cleaner, more readable profiles on the target timeframe.
Profile bins too coarse : The bin count derives from the swing range divided by a smoothed ATR-based tick size. On instruments with large typical bar ranges relative to the swing, the profile may appear coarse. Consider using a higher timeframe chart or adjusting swing length to capture larger swings with more granular bin resolution.
Too many single print signals : Increase Signal Cooldown to enforce greater bar separation between consecutive retest signals, or increase Swing Length to produce swings with fewer single print zones through greater overall participation density.
Single print extensions cluttering the chart : Disable Extend Single Prints to remove forward projection boxes while retaining single print highlighting within the historical profile, or reduce Max Zones (capped internally at 50) by allowing older zones to naturally expire as price revisits them.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Trending markets with clear directional swings where each profile captures a single sustained move and produces meaningful POC and value area levels that serve as ongoing structural references
Instruments with sufficient intrabar participation where TPO letter accumulation produces well-distributed profiles with identifiable concentration zones rather than sparse single-print-dominated structures
Market profile-based trading approaches that benefit from swing-anchored rather than session-anchored participation context, aligning profile boundaries with actual structural events
Single print zone strategies where structurally thin levels within completed swings provide anticipatory reference areas for future price reactions with defined signal criteria
Reduced Effectiveness:
Choppy, low-range markets where frequent swing direction changes produce thin profiles with minimal letter accumulation and limited POC or value area differentiation
Extremely fast-moving instruments where swing ranges are so large relative to the TPO timeframe that letters are thinly distributed across a wide range, reducing profile interpretive value
Low-liquidity instruments where participation is insufficient to produce meaningful time-at-price distributions, resulting in profiles dominated by single prints with no identifiable acceptance zones
Markets where the relationship between swing structure and participation distribution is inconsistent, reducing the reliability of POC and value area levels as structural references across successive swings
Very short timeframe charts where the ratio between chart timeframe and TPO timeframe produces insufficient letter differentiation to build interpretable profiles within typical swing durations
Integration Guidelines
Confluence : Combine with BOSWaves structural tools, order flow analysis, or momentum indicators to validate POC and value area reactions with broader analytical context before acting on profile-based reference levels
POC Migration Awareness : Track whether POC levels across successive swings are migrating higher, lower, or remaining stable as a secondary indicator of directional participation bias beyond raw trend direction
Single Print Zone Patience : Allow single print zones to extend and be approached naturally rather than anticipating reactions prematurely. The sweep-and-reclaim or sweep-and-reject sequence that triggers signals requires zone interaction to complete before directional evidence is confirmed.
Gradient Reading : Use gradient distribution within profiles to contextualize POC and value area location. A POC formed late in the gradient sequence suggests late-swing acceptance, potentially indicating exhaustion. An early-forming POC suggests early directional commitment that may carry more structural weight.
Real-Time Profile Monitoring : Treat the live developing profile as probabilistic rather than confirmed. POC and value area locations in the real-time profile will shift as new bars are added and should be interpreted as dynamic rather than fixed until the swing completes and the historical profile is committed.
Disclaimer
Swing Gradient TPOs is a professional-grade swing-anchored market profile and structural participation analysis tool. It uses TPO letter accumulation with gradient chronology encoding and single print zone projection but does not predict future price movements. Results depend on market conditions, instrument participation characteristics, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates momentum context, order flow analysis, and comprehensive risk management. Indicator
Average Daily Range Percentage (ADR%) and Average Daily VolumeTwo critical pre-trade filters, always visible right on your chart.
Before entering any swing trade, you need to know two things: is this stock volatile enough to move your account, and is it liquid enough to trade cleanly? This indicator answers both questions at a glance.
**ADR% (Average Daily Range)** measures how much a stock moves on an average day. Too low and it won't move your portfolio. Too high and the daily noise will stop you out randomly. The color tells you where you stand instantly.
**ADV (Average Dollar Volume)** measures how much money flows through the stock each day. Liquid stocks respect key levels, pull back cleanly to moving averages, and don't gap randomly on low volume. Illiquid stocks do the opposite.
Both values are color-coded against your thresholds:
🟢 Green — within your ideal range
🟠 Orange — borderline, proceed with caution
🔴 Red — outside your criteria, skip it
Fully customizable:
ADR% and ADV thresholds
Warning zones for borderline values
Lookback periods for both calculations
Colors for good, warning, and bad values
Default thresholds are calibrated for swing traders. Adjust to match your account size and risk tolerance.
Built for swing traders who want clean, fast chart reviews without second-guessing liquidity or volatility on every name. Indicator
Fibonacci Retracement Statistics by VolProfexFIBONACCI RETRACEMENT STATISTICS BY VOLPROFEX
=============================================
DESCRIPTION
-----------
Fibonacci Retracement Statistics is an analysis tool that
automatically detects price swings, tracks retracements within each trend,
and calculates how often price retraces to various Fibonacci levels. The
indicator labels every completed swing with its swing number and deepest
fib level reached (e.g. "▲ #12 78.6%"), and displays a statistics table
showing the count and percentage of swings reaching each level.
All visual elements (trend boxes, fib lines, retracement boxes, labels, and
the statistics table) are drawn only on the last chart bar, keeping the
indicator performant during real-time scrolling. Retracement labels update
in real time so you always see the current value for the active swing.
HOW IT WORKS
------------
1. SWING DETECTION (ATR-Deviation ZigZag)
A volatility-adaptive ZigZag engine finds pivot highs and lows. A pivot
is confirmed when price moves against the current leg by at least
ATR(period) × deviation multiplier. A minimum swing size filter discards
insignificant wiggles. A spike filter rejects reversals triggered by
bars with extreme wick-to-body ratios.
2. HIGHER-TIMEFRAME (HTF) CONTEXT (optional)
When enabled, the indicator loads data from a higher timeframe (default: 1h)
and runs the same ZigZag engine on it. Completed HTF swings are drawn as
translucent boxes on the chart. Local swings are filtered to only count
when their direction matches the HTF swing they fall inside. This removes
counter-trend noise within the larger structure.
A separate gate ("Exclude Retracements outside HTF swing") further filters
retracement contributions: only retracements where both the trend leg and
the counter-trend leg fall inside the same completed HTF box are counted
in statistics and drawn on the chart.
3. TREND & RETRACEMENT TRACKING
Alternating pivot types (high → low → high → ...) create directional
trends. For each unfinalised trend, the indicator tracks the extreme
retracement price bar by bar. When the trend completes, the retracement
percentage is calculated using the actual counter-trend leg. This value is
then compared against each enabled Fibonacci level.
4. FIBONACCI LEVEL COUNTING
A cumulative counting system tallies how many trends have retraced to
each enabled level. Levels available include: 23.6%, 38.2%, 50.0%, 61.8%,
78.6%, 88.6%, 100.0%, 127.2%, 138.2%, 150.0%, 161.8%, plus up to 5
custom levels (0–500%). The statistics table is split into UP and DOWN
sections, each with its own Level / Count / Percent columns.
5. INTRADAY TIME WINDOW (optional)
On intraday charts, you can set a session window (e.g. 09:30–16:00) to
restrict which swings are analysed. Choose between "Pivot Confirmed Inside"
(the confirming bar's timestamp must fall in the window) or "Full Cycle
Inside" (both the pivot start and confirmation must fall in the window).
A visual box overlay can be enabled to highlight the active window.
6. SPIKE FILTER
Optionally discard ZigZag reversals triggered by bars where the upper or
lower wick exceeds the body by a user-defined ratio. This helps avoid
false pivot signals from sudden, low-liquidity spikes.
SETTINGS REFERENCE (defaults optimised for BTCUSDT, 5m chart, 1h HTF)
---------------------------------------------------------------------
── SWING ENGINE ──
- ATR Period: 14
Period for ATR calculations. Shared by local ZigZag and HTF swing detection.
- ZigZag Deviation Multiplier (ATR ×): 3.0
Pivot confirmed when price reverses by ATR × this value.
- Min Swing Size (ATR multiple): 0.8
Legs smaller than ATR × this are discarded. Set 0 to disable.
── HTF CONTEXT ──
- Use Higher Timeframe Swing Context: ON
When enabled, local swings are counted only when their direction matches the
current HTF swing bias.
- HTF Timeframe: 60
Higher timeframe for context. Must be higher than the chart timeframe.
- HTF Swing Deviation (ATR ×): 3.5
ATR multiplier for HTF pivot reversals.
- HTF Min Swing Size (ATR ×): 1.5
Minimum leg size for HTF swings. Set 0 to disable.
- Exclude Retracements outside HTF swing: ON
When enabled, only retracements fully contained within a completed HTF swing
box contribute to statistics and visual output.
- Show HTF Swings: ON
Draws HTF major swing boxes on the chart (Blue = upswing, Red = downswing).
- HTF Bull Color / HTF Bear Color: Blue (50% transp) / Red (50% transp)
── FIBONACCI LEVELS ──
- Levels enabled by default: 23.6%, 38.2%, 50.0%, 61.8%, 78.6%, 100.0%,
138.2%, 161.8%
- 5 custom level slots, each 0.0–500.0%. Set to 0.0 to disable. Default: all 0.0
── FILTERS ──
- Trend Direction: Both
Options: Both / Uptrends Only / Downtrends Only
- Use Intraday Time Window: OFF
When ON, applies a daily clock window on intraday charts.
- Window Session: 0930-1600
- Window Mode: Pivot Confirmed Inside
Options: Pivot Confirmed Inside / Full Cycle Inside
- Window Timezone: Exchange (uses the symbol's exchange timezone)
- Show Time Window Box: OFF
Visual box highlighting the active intraday window.
- Enable Spike Filter: ON
Discard reversals triggered by spike bars.
- Max Wick-to-Body Ratio: 4.0
Threshold for spike detection (wick ≥ this × body).
── DISPLAY ──
- Show Trend Boxes: ON (Border Width: 1)
Bullish: Teal / Bearish: Maroon
- Show Fib Lines: ON (Width: 1, Style: Dashed, Color: Gray at 60% transp)
- Show Fib Labels: ON (Position: Right, Vertical: Center, Size: Small, Color: White)
- Show Retracement Boxes: ON (Color: Orange at 40% transp)
- Show Retracement Labels: ON (Position: Center, Vertical: Below, Size: Small, Color: Yellow)
- Max Trends Drawn: 50 (1–500)
── TABLE ──
- Table Position: Top Right
- Font Size: Small
VISUAL OUTPUT
-------------
1. Trend Boxes: Translucent coloured boxes spanning each completed swing leg.
2. Fib Lines & Labels: Dashed (or solid/dotted) lines at each Fibonacci level
with optional percentage labels on every completed swing.
3. Retracement Boxes: Overlay boxes on the counter-trend leg with a connecting
diagonal line, colour-coded by trend direction.
4. Retracement Labels: Labels on each retracement showing:
- Arrow direction (▲ = uptrend, ▼ = downtrend)
- Filtered swing number
- Deepest Fibonacci level reached
5. HTF Swing Boxes: Larger translucent boxes showing higher-timeframe swing
structure (blue = up, red = down).
6. Statistics Table: A table in one of four corners displaying:
- Level | Count | Percent for uptrends (teal header)
- Level | Count | Percent for downtrends (maroon header) Indicator
Aurelian Structure Engine [JOAT]Aurelian Structure Engine
Introduction
Aurelian Structure Engine is a market structure and execution-context model that combines confirmed pivots, break events, HTF bias, anchored value, relative volume, and pressure scoring. It is built to separate meaningful structural breaks from ordinary candle noise.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Confirmed Swing Structure
Swing highs and lows are confirmed with pivot logic before the script evaluates breaks. ATR buffering helps prevent small wick violations from becoming structure events.
2. Bid and Offer Block Geometry
Recent opposing candles can become bid or offer blocks only when their vertical placement makes structural sense. Invalidated or overlapping blocks are removed.
3. Anchored Value Context
An EMA and yearly anchored VWAP stack define whether price is operating above or below value.
4. Tiered Quality Score
Pressure, RVOL, HTF bias, structure, and proximity are converted into B, A, and A+ style states.
bullScore = structure + pressure + rvol + htfBias + valueContext
Features
Confirmed BOS and CHoCH-style structure tracking
Bid and offer blocks with invalidation logic
EMA/VWAP value spine and structure bands
Volume pressure and RVOL scoring
A/B/A+ state labels and compact dashboard
Input Parameters
Swing pivot length and ATR buffer
Block search and extension controls
HTF bias timeframe
Pressure, RVOL, cooldown, and A+ score gates
Display toggles for bands, blocks, candles, and panel
How to Use This Script
Read the structure side first, then check whether pressure, RVOL, and HTF bias confirm the break. A+ labels require stronger agreement than A or B labels.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
Aurelian is original in combining guarded bid/offer block geometry, confirmed structure, anchored value, and multi-factor signal quality into one restrained overlay.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
MTIDDescription
MTID is an all-in-one overlay built for swing and position traders who want price action, key statistics and fundamentals on a single pane. Six configurable moving averages, a "big move" marker, a live stats dashboard, and an 8-quarter fundamentals table are combined into one indicator with independent toggles for every section.
WHAT'S ON THE CHART
• Six moving averages — each with its own length, type (SMA/EMA), color and timeframe-visibility filter (All / Intraday+Daily / Weekly+Monthly / Intraday-only / Daily-only / Weekly-only). Default lengths 10/20/50/100/150/200 cover the most-watched values.
• Purple-Dot Big Move — flags bars whose move ≥ a configurable % AND volume ≥ a configurable threshold. Shape, size, color and timeframe-visibility are all configurable; bars can be color-coded on move direction.
• Optional bar coloring for high relative-volume bars.
STATS DASHBOARD (vertical table or horizontal headband)
• Sector & Industry (auto-detected from the symbol)
• Market Cap with currency conversion (Auto / USD / INR / EUR / GBP / JPY) and Indian (Cr/LCr) or Western (M/B/T) formatting
• 52-Week High/Low — % off the high and % off the low (daily-candle based regardless of chart TF)
• 13-Week Peak/Bottom — same idea over a quarter
• ADR (Average Daily Range %) and ATR — daily-candle based
• U/D Ratio — up-volume vs down-volume
• Float %
• Distance vs Daily SMA and Distance vs Weekly SMA — both shown simultaneously, regardless of chart timeframe
• Relative Volume (RVol)
• % above Low-of-Day (intraday session low; bar low on daily+)
FUNDAMENTALS TABLE
Last four quarters (with three more held internally for YoY math) of:
• EPS with YoY and QoQ % change
• Sales (auto-scaled units) with YoY and QoQ % change
• OPM% (Operating Margin = Operating Income / Revenue) with YoY and QoQ
• Per-quarter P/E (annualised from quarter EPS)
Plus an optional row showing the next two estimated quarters (EPS estimates, YoY/QoQ).
Header row showing Market Cap, Free-Float Mkt Cap, ROE and TTM P/E.
Vertical (full grid) or horizontal (transposed headband) layout.
IPO-FRIENDLY
Lookback windows adapt to available history. A newly listed symbol with fewer than 52 weeks (or 13 weeks, 50 bars for RVol, 20 days for ADR, etc.) still gets values computed over whatever data exists, instead of showing "N/A".
CUSTOMIZATION
• Every section independently togglable.
• Per-table position (6 anchor points), text size, layout (vertical / horizontal headband), border & frame width.
• Per-column text alignment (Left / Center / Right) for the dashboard.
• Configurable blank spacer rows at the top of each table — useful when TradingView's hover controls overlap the table.
• Fully themable colors (positive / negative / neutral, backgrounds, borders).
NOTES
• Sector, Industry, Market Cap, ROE, Float, EPS, Sales, Operating Income and EPS estimates are sourced from TradingView's request.financial / request.earnings and may be unavailable for some symbols or exchanges.
• Currency conversion uses FX_IDC daily rates.
• Built in Pine Script v6. Indicator
Indicator
KAS VWAP Engine v4.2KAS VWAP Engine v4.2 is an open-source auto-anchored VWAP indicator designed for mean-reversion setups around volume-weighted average price. The anchor automatically resets when price establishes a new structural high or low over a configurable lookback period. A 2-stage state machine ensures signals only fire after a confirmed band-touch followed by an opposite-band close-reclaim.
WHAT IT DOES
- Plots an auto-anchored VWAP that resets on structure breaks (configurable lookback)
- Adds inner and outer ATR-based deviation bands around the VWAP baseline
- Detects mean-reversion entries when price touches the outer band and reclaims the inner band
- Visualizes completed trades as directional vectors with inline P&L labels
- Filters signals through an HTF EMA 200 trend gate (optional) and an ATR Z-Score volatility regime gate (optional)
- Displays a real-time dashboard with current reversion state, VWAP value, price deviation, HTF trend, and ATR filter status
HOW IT WORKS
1. Auto-Anchor Detection
The anchor resets when the current bar high exceeds the highest high of the previous N bars (configurable, default 50), or when the current low breaks below the lowest low. Implementation uses ta.highest(high , swingLen) and ta.lowest(low , swingLen) for the structure-break comparison.
2. Manual VWAP Accumulators
The VWAP uses hlc3 as price source and resets accumulator buffers on each new anchor. This produces a session-style VWAP from each detected structure point. Formula: VWAP = sumSrcVol / sumVol, where sumSrcVol accumulates hlc3 multiplied by volume.
3. ATR Deviation Bands with Bridge
Bands are placed at the VWAP plus/minus inner-multiplier and outer-multiplier times the ATR-14 baseline (SMA-smoothed over 100 bars). On anchor-reset bars, a dedicated bridge variable substitutes hlc3 for the freshly-reset VWAP value, preventing ghost-line artifacts in the visualization.
4. 2-Stage State Machine (Arm to Fire)
Stage 1 (Arm): a touch of the outer band sets the armed state to +1 (long-arm) or -1 (short-arm).
Stage 2 (Fire): a close back inside the inner band fires the entry signal in the same direction.
A signal cooldown (configurable bars) and a VWAP-touch-reset clear the armed state.
5. ATR Z-Score Regime Gate
The ATR-14 z-score is computed against its 100-bar SMA and 100-bar standard deviation. When the z-score falls below -1.0, the regime is classified as Low Vol and signals are blocked (optional filter, on by default).
6. HTF EMA 200 Filter
A request.security call retrieves the EMA-200 from a higher timeframe (default 4h). When enabled, long-reversion signals only fire when close is above the HTF EMA, and short-reversion signals only fire when close is below the HTF EMA.
WHY IT'S UNIQUE
- Unlike standard auto-anchored VWAP scripts that produce ghost-line artifacts when the anchor resets, this indicator substitutes hlc3 on the reset bar via a dedicated bridge variable, providing a continuous, artifact-free anchored VWAP visualization.
- Unlike instant-fire band-touch signals common in VWAP deviation scripts, this indicator uses a 2-stage Arm to Fire state machine: an outer-band touch only arms the setup, and the signal fires only after an inner-band close-reclaim, significantly reducing false signals during volatile band-pierces.
- Unlike static signal markers, this indicator visualizes each completed trade as a directional vector from entry to exit (Take Profit at VWAP, or Stop at opposite outer band) with inline P&L percentage labels, enabling rapid visual back-test review on historical bars.
HOW TO USE
- Add the indicator to a standard candlestick chart on any timeframe (intraday 5m-15m and swing 1h-4h work well)
- Default settings work for most liquid instruments; adjust Structure Lookback (50 bars) based on your timeframe density
- Watch for Revert Long (triangle below bar) or Revert Short (triangle above bar) signals after a touch of the outer band
- The dashboard shows current reversion state, VWAP deviation, HTF trend direction, and whether the ATR regime gate is blocking signals
- Trade trajectory beams visualize each completed setup with TP (return to VWAP) or STOP (extension to opposite band) outcomes
- Combine with your own risk management; the indicator is analytical, not a recommendation
LIMITATIONS
- Mean-reversion logic is designed for ranging or oscillating markets; performance is reduced in strong directional trends
- ATR Z-Score regime detection requires at least 100 bars of history to stabilize
- The HTF EMA 200 filter requires sufficient history on the higher timeframe; on newly-listed instruments or very short timeframes the HTF signal may be unstable
- Signals fire on bar close (barstate.isconfirmed); intra-bar movements are not signaled
- This indicator is for analytical purposes only and does not constitute financial advice or a recommendation to trade
ABOUT
Knecht Alpha Signals delivers Pine Script v6 indicators focused on precision over noise. This open-source release is part of our public toolkit for the TradingView community. Indicator
Neural Confluence Engine [Quantum Algo]Neural Confluence Engine
Neural Confluence Engine is a Pine Script v6 indicator that fuses eight independent technical factors — momentum, trend, VWAP position, RSI regime, MACD acceleration, ADX trend power, volume confirmation, and squeeze state — into a single weighted directional strength score on a 0–100 scale. Signals are gated by a user-configurable score threshold and an optional higher-timeframe trend filter before firing. The script is open-source. All signals are confirmed on bar close and do not repaint.
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HOW IT WORKS
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1. The eight factor model. Each bar, the engine evaluates eight independent factors and assigns each a normalized score between 0 and 1 based on its current state and intensity. Factors are scored separately for bullish and bearish directions.
2. WaveTrend Momentum (weight 1.5). Computes a custom oscillator from HLC3 smoothed by EMA of channel length (default 9) and signal length (default 12). Oversold reversals below -40 score 1.0; readings above zero score 0.8; positive crossovers below zero score 0.5.
3. EMA Alignment (weight 1.3). Triple EMA stack: fast (default 9) > slow (default 21) > baseline (default 50) scores 1.0 for full alignment. Fast > slow alone scores 0.6. Otherwise 0.
4. VWAP Position (weight 1.0). Price above VWAP by more than 1 ATR scores 1.0. Price above VWAP within 1 ATR scores 0.7. Below VWAP scores 0.
5. RSI Regime (weight 0.8). RSI above 60 scores 1.0. RSI between 50 and 60 scores 0.6. Below 50 scores 0.
6. MACD Histogram (weight 0.8). Rising histogram above zero scores 1.0. Positive but flat histogram scores 0.6. Negative histogram scores 0.
7. ADX Trend Power (weight 0.7). ADX above 40 scores 1.0. ADX between 25 and 40 scores 0.7. ADX below 25 scores 0.3 (penalty for chop, not zero).
8. Volume Confirmation (weight 1.0). Volume above 20-bar SMA combined with a directional candle close scores 1.0. Volume between 80% and 100% of average scores 0.4. Below scores 0.
9. Squeeze State (weight 1.2). Detects Bollinger Band compression inside Keltner Channels using length-20 standard deviation and ATR-10 envelopes. A "firing" bar (compression releases) with positive momentum scores 1.0. Compression without release scores 0.3.
10. Weighted aggregation and smoothing. Each directional factor is multiplied by its weight, summed, divided by total weight, and scaled to 0–100. The raw score is then smoothed with a 3-bar EMA to reduce single-bar noise. Bull score and Bear score are tracked separately. The net Neural Confluence Engine score is the difference between them.
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SIGNAL TIERS
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The script produces two signal tiers from the same scoring engine, allowing traders to choose between sensitivity and selectivity.
Standard signals (BUY / SELL). Fire on EMA ribbon color change — when the fast EMA crosses the slow EMA. These follow every directional shift regardless of score. Useful for systematic trend-following.
High-confluence signals (BUY+ / SELL+). Fire only when three conditions align simultaneously: an EMA cross occurs, the directional score exceeds the user-configurable threshold (default 60), and the higher-timeframe trend agrees with the signal direction. Used to filter for the most aligned setups.
Both signal tiers open trade management — entry, stop loss, three take-profit targets, and optional trailing stop after TP1.
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TRADE MANAGEMENT
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When a signal fires, the engine computes ATR-scaled risk levels relative to entry:
Stop loss: entry minus 1.5 × ATR (configurable multiplier 0.5–10).
TP1: 1R target (configurable risk-reward ratio).
TP2: 2R target.
TP3: 3R target.
When TP1 is reached, the stop converts to a trailing structure: SL moves to breakeven, then advances to TP1 level when TP2 is hit, then to TP2 level when TP3 is hit. The trailing stop also follows price at 0.5 × ATR distance after TP1. This can be disabled via the "Activate Trailing SL after TP1" toggle.
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WHAT'S ACTUALLY DIFFERENT
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◆ Eight-factor weighted composite, not a single trigger. Standard indicators fire on one condition — an EMA cross, an RSI level, a volume spike. The Neural Confluence Engine requires multiple independent factors to agree, weights them by historical reliability, and gates signals through a configurable score threshold. The trader can dial sensitivity from 20 (sensitive) to 95 (selective) without re-tuning eight separate sub-indicators.
◆ Two-tier signal architecture. Most indicators produce one stream of signals. This produces two from the same engine: standard ribbon flips for sensitive trend-following, and high-confluence variants gated by score + HTF agreement. Traders can use either tier independently or both in confluence.
◆ HTF agreement is built into the signal gate, not a separate filter. The higher-timeframe trend check is computed natively via request.security, auto-detected based on the chart timeframe (15m → 1H, 1H → 4H, 4H → D, D → W) or set manually. BUY+/SELL+ signals are blocked if HTF disagrees.
◆ Per-factor visibility in the dashboard. Each of the eight factors is individually viewable in real time — traders can see exactly which factors are contributing to the current score, rather than receiving a black-box signal. This is rare in confluence-style indicators which typically hide the sub-components.
◆ Trailing-stop ratcheting tied to TP hits. The trailing stop doesn't just follow ATR — it advances in tiers tied to take-profit milestones. After TP1, stop moves to breakeven. After TP2, to TP1. After TP3, to TP2. This protects profits at structurally meaningful levels rather than purely volatility-derived ones.
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RECOMMENDED SETTINGS
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Forex majors (EUR/USD, GBP/USD, USD/JPY) — 1H to 4H: Min Confluence Score 65, HTF Trend Filter on, SL Multiplier 1.5, TP R:R 1/2/3, HTF auto. Optimized for session-driven moves where structural levels respect institutional flow.
Crypto perpetuals (BTC, ETH, SOL) — 15M to 1H: Min Confluence Score 60, HTF Trend Filter on, SL Multiplier 2.0, TP R:R 1/2/3, HTF auto. Tuned for 24/7 markets with higher noise floors; the slightly wider stop accommodates increased wick volatility.
Gold (XAUUSD) — 1H to 4H: Min Confluence Score 70, HTF Trend Filter on, SL Multiplier 1.8, TP R:R 1/2/3.5, HTF set to Daily. Designed for the elevated wick activity around US session open and the tendency for sharp moves to develop after squeeze release.
Indices (SPX, NDX, DAX) — 5M to 1H: Min Confluence Score 55, HTF Trend Filter on, SL Multiplier 1.2, TP R:R 1/2/3, HTF auto. Tuned for cash-session structure and typical post-open momentum continuation.
Swing trading (any market) — 4H to Daily: Min Confluence Score 75, HTF Trend Filter on, SL Multiplier 2.5, TP R:R 1.5/3/5, HTF set to Weekly. Reduces noise to the highest-conviction setups only; wider targets to match the higher timeframe.
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ALERTS & OUTPUTS
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Alerts available:
BUY signal — ribbon flipped bullish (standard sensitivity)
SELL signal — ribbon flipped bearish (standard sensitivity)
BUY+ signal — high-confluence bullish setup
SELL+ signal — high-confluence bearish setup
Squeeze breakout — volatility compression released
TP1 reached — trailing stop activated
TP2 reached
TP3 reached
On-chart visuals:
EMA ribbon (5, 9, 13, 21, 34, 50) with fill bands colored by trend direction
VWAP plot with color reflecting price position
BUY / SELL / BUY+ / SELL+ signal labels at signal bars
Confluence score percentage label on BUY+ / SELL+ bars
Optional Entry / SL / TP1 / TP2 / TP3 horizontal lines for the most recent trade
TP-hit confirmation labels with checkmarks
Squeeze background highlight when compression is active
Diamond markers (⚡) on squeeze breakout bars
Optional momentum wave background colored by net score intensity
Optional candle coloring on signal bars
Multi-row dashboard with bull/bear scores, bias classification, HTF direction, factor states, trade status, and threshold setting
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NOTES
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Pine Script version: v6.
Repainting: All signals (BUY, SELL, BUY+, SELL+, squeeze breakouts, TP/SL hits) are evaluated on confirmed bar close and do not repaint. Higher-timeframe values use lookahead=barmerge.lookahead_off so HTF readings reflect only confirmed information available at signal time.
Compatibility: Works on all symbols and timeframes available in TradingView. Tested on forex majors, crypto perpetuals, gold, and major indices. Functions on stocks but the volume confirmation factor may require threshold adjustment for low-volume tickers. Functions on continuous contracts and CFDs.
Open-source: This script is open-source. Clone, study, and modify it freely under the terms of TradingView's House Rules. Republishing the source under a different name is not permitted.
Credits: This indicator's logic is independently developed. The component oscillators (WaveTrend, RSI, MACD, ADX, Bollinger Bands, Keltner Channels, VWAP) are standard public-domain technical analysis tools. The weighted-score aggregation methodology, two-tier signal architecture, ATR-tiered trailing stop progression, and per-factor dashboard are original implementations.
Disclaimer: This indicator is provided for educational and analytical purposes. Trading involves substantial risk of loss. Past performance does not guarantee future results. Position sizing and risk management are the trader's sole responsibility. Nothing in this script or description constitutes financial advice. Indicator
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