Clusters Volume Profile [LuxAlgo]The Clusters Volume Profile indicator utilizes K-Means clustering to categorize historical price action into distinct groups and generates individual volume profiles for each detected cluster. This tool provides a unique perspective on volume distribution by isolating price behaviors based on proximity rather than strictly chronological order.
🔶 USAGE
The indicator identifies "clusters" of price activity within a user-defined lookback period. Each cluster is assigned a unique color and its own horizontal volume profile, allowing traders to see where liquidity is most concentrated within specific price regimes.
🔹 Identifying Institutional Zones
Traders can use the Point of Control (POC) of high-volume clusters to identify significant institutional interest. Because the K-Means algorithm groups price action by density rather than time, a cluster's POC often represents a "fair value" level where significant exchange occurred. These dashed POC lines frequently act as robust support or resistance levels when price returns to them in the future.
🔹 Market Regime Detection
By observing the vertical distribution and overlap of clusters, traders can identify market phases. Overlapping clusters with high volume often indicate accumulation or distribution phases (sideways markets), whereas distinct, vertically separated clusters with lower volume gaps between them suggest a trending environment. A shift from multiple overlapping clusters to a new, isolated cluster can signal a breakout or the start of a new trend.
🔹 Precision Entry & Exits
Cluster boundaries and POC lines provide concrete levels for trade management. An entry can be sought when price retests a high-volume cluster POC, while stops can be placed outside the total price range of that specific cluster (the area covered by its volume profile). Conversely, targets can be set at the POC of the next major cluster above or below current price action.
🔹 Volume Conviction
The tool provides specific volume metrics that allow traders to gauge conviction. By comparing the "Total" volume label of one cluster against another, a trader can determine which price regime had more participation. A breakout into a price zone with a high-volume cluster suggests stronger conviction and a higher probability of the level holding compared to a zone with low total volume.
🔶 DETAILS
The script employs a K-Means clustering algorithm. This process involves:
Initializing "centroids" across the price range of the lookback period.
Iteratively assigning each price bar to the nearest centroid based on the HLC2 (median) price.
Recalculating centroids based on the volume-weighted average price of the assigned bars.
Finalizing assignments after the specified number of iterations to ensure stable clusters.
By separating price action into these clusters, the tool helps identify high-interest zones that might be obscured by a single, traditional Volume Profile.
🔶 SETTINGS
🔹 Clustering Settings
Lookback Period: Determines the number of recent bars used for the clustering analysis.
Number of Clusters: Sets how many distinct price groups the algorithm should attempt to find (2 to 10).
K-Means Iterations: Controls the number of times the algorithm refines the cluster centers. Higher values can lead to more stable results.
🔹 Volume Profile Settings
Rows per Cluster VP: Defines the vertical resolution (number of bins) for each individual cluster's profile.
Max VP Width (Bars): Sets the maximum horizontal length of the volume profile histograms.
VP Offset: Adjusts the horizontal spacing between the current bar and the start of the volume profiles.
Highlight Price Dots: Toggles the visibility of the colored dots on the price action to identify cluster assignments.
Dot Size: Adjusts the size of the cluster assignment dots on the chart, ranging from tiny to huge.
Indicatori e strategie
Neural Probability Channel [AlgoPoint]The Neural Probability Channel (NPC) is a next-generation volatility and trend analysis tool designed to overcome the limitations of traditional bands (like Bollinger Bands) and smoothing filters (like standard Moving Averages).
Unlike traditional indicators that rely on linear deviation or simple averages, the NPC utilizes a Rational Quadratic Kernel—a concept derived from machine learning regression models—to calculate a non-repainting, highly adaptive baseline (Fair Value). This allows the indicator to distinguish between market noise and genuine trend shifts with superior accuracy.
The volatility bands are dynamically calculated using a hybrid of Standard Error (Mean Deviation) and ATR, ensuring the channels adapt organically to market conditions—expanding during high-impact moves and contracting during consolidation.
How It Works
- The Neural Baseline (Center Line): Instead of a standard Moving Average, the NPC uses a Rational Quadratic Kernel weighting system. This assigns "importance" to price data based on both recency and similarity. It acts as a "Center of Gravity" for price, providing a smoother yet responsive trend detection line without the lag associated with SMAs or EMAs.
Crucially, the math is causal (no lookahead), meaning it does not repaint.
- Adaptive Volatility Bands: The channel width is not fixed. It uses a Hybrid Volatility Model:
- Inner Channel: Represents the "Probability Zone" (approx. 70% confidence). Price staying here indicates a stable trend.
- Outer Channel: Represents "Extreme Deviation" (Statistical Anomalies). When price touches or breaches these outer bands, it is statistically overextended (Overbought/Oversold).
Signal Generation:
- Reversion Signals: Generated when price breaches the Outer Bands and closes back inside. This suggests a "Snap-back" or Mean Reversion event.
- Trend Confirmation: The color of the baseline and the fill zones changes based on the slope of the Kernel, giving an instant visual read on market bias.
How to Use It
- Mean Reversion Strategy: Look for price action extending beyond the Outer Bands (Thinner lines). If price leaves a wick and closes back inside, it signals a high-probability reversal toward the Neural Baseline.
- Green Signal: Potential Long (Reversal from Lows).
- Red Signal: Potential Short (Reversal from Highs).
- Trend Following: Use the Neural Baseline (Thick Center Line) as a dynamic support/resistance level.
If price is holding above the baseline and the cloud is green, the trend is Bullish.
If price is holding below the baseline and the cloud is red, the trend is Bearish.
- Squeeze Detection: When the Inner and Outer bands compress significantly, it indicates low volatility and often precedes an explosive breakout.
Settings
- Lookback Window: Determines the depth of the Kernel analysis.
- Smoothness (Bandwidth): Higher values create a smoother baseline (better for trends), while lower values make it more reactive (better for scalping).
- Regression Alpha: Controls the weight distribution of the Kernel.
- Channel Multipliers: Adjust the width of the Inner and Outer bands to fit your specific asset's volatility profile.
NQ Statistical MapperNQ Statistical Mapper
CRITICAL DISCLAIMER - READ FIRST
WARNING: THIS INDICATOR IS EXCLUSIVELY FOR NQ (NASDAQ-100 E-MINI FUTURES) ONLY
All statistics displayed in this indicator are HARD-CODED values derived from a comprehensive analysis of 12 years (2013-2025) of 1-minute NQ futures data. These statistics are calculated offline using Python and embedded directly into the indicator code.
These probabilities DO NOT apply to any instrument other than NQ
What This Indicator Does
The NQ Statistical Mapper is a data-driven trading tool that displays historical probability statistics for intraday NQ price behavior based on overnight session structure and opening positioning. Rather than generating signals, it provides context by showing:
Three trading sessions with visual boxes: Asia (8PM-2AM), London (2AM-8AM), and New York (8AM-4PM) Eastern Time
Key price levels with historical hit rate percentages showing the probability these levels are touched during the NY cash session (8AM-4PM)
Context-aware statistics that change based on current market conditions
Session range analysis showing whether Asia and London ranges are unusually large or small compared to recent history
Core Methodology and Statistical Foundation
Pattern Detection System
The indicator automatically detects one of four overnight session patterns based on how the London session (2AM-8AM) interacts with the Asia session (8PM-2AM):
London Engulfs Asia: London high is greater than Asia high AND London low is less than Asia low
Asia Engulfs London: Asia high is greater than or equal to London high AND Asia low is less than or equal to London low
London Partial Up: London high is greater than Asia high BUT London low is greater than or equal to Asia low (took out Asia high only)
London Partial Down: London low is less than Asia low BUT London high is less than or equal to Asia high (took out Asia low only)
Each pattern has distinct statistical characteristics that influence NY session behavior.
Conditional Probability Framework
The indicator uses a conditional probability approach where statistics adapt based on:
Primary Condition: Where does NY open (8:00 AM) relative to the London session midpoint?
"NY opens above London midpoint"
"NY opens below London midpoint"
This single condition dramatically changes the probabilities. For example:
When NY opens above London midpoint: 76.68% chance NY hits the London high before the London low during 8AM-4PM
When NY opens below London midpoint: 73.32% chance NY hits the London low before the London high during 8AM-4PM
Secondary Condition: The overnight pattern further refines these probabilities. Each combination of "NY position vs London midpoint" plus "overnight pattern" has unique hit rate statistics calculated from the 12-year dataset.
"Hit First" Statistics Explained
The table displays "Hit High First" and "Hit Low First" percentages. These answer the question: "During the NY cash session (8AM-4PM), if price eventually touches both the London high AND London low, which one does it touch FIRST?"
Example interpretation:
Hit High First: 76.68% means that in 76.68% of historical days with this setup, price touched the London high before touching the London low
Hit Low First: 22.48% means London low was touched first
The remaining approximately 1% represents days where neither level was hit during the NY session
This is fundamentally different from asking "will price go up or down" - it is about the sequence of range expansion during the NY session.
Displayed Levels and Their Meanings
Session Highs/Lows (Solid Lines)
These appear when each session completes and extend through the NY session:
Asia High/Low (Orange): The highest and lowest prices during 8PM-2AM EST
London High/Low (Blue): The highest and lowest prices during 2AM-8AM EST
Each level shows its hit rate percentage - the probability that NY session price (8AM-4PM) will touch that level, based on the current pattern and NY opening position.
Hourly Midpoint Levels (Dashed Gray Lines)
Three specific hourly levels with remarkably high hit rates:
7-8 AM Midpoint: Average of high and low during the 7-8 AM hour. Hit rates consistently above 93-94%, essentially sitting at the 8 AM open price (mean distance: -0.001%)
Midnight Open: The opening price at midnight EST. Hit rates vary from 62-87% depending on pattern and setup
2-3 AM Midpoint: Average of high and low during the 2-3 AM hour. Hit rates range from 67-92%
These levels are derived from mean-reversion behavior - price tends to revisit certain overnight reference points during the NY session.
Session Midpoints (Dotted Lines)
Optional display of Asia and London session midpoints. These lines terminate when their respective sessions end, providing additional reference levels for session positioning.
Statistics Table Breakdown
The table displays five sections of information:
1. SETUP Section
Shows whether "NY opens above/below London midpoint"
Displays the detected overnight pattern (1 of 4 types)
Sample size: Number of historical days matching this exact setup
Hit High First / Hit Low First: Directional bias percentages
2. HIT RATES (8AM-4PM) Section
Shows probability that each level gets touched at any point during the NY cash session:
7-8 AM Midpoint: Almost always touched (93-97% depending on pattern)
Midnight Open: Varies significantly (62-87%) based on whether the overnight pattern is aligned or contrary to NY's opening position
2-3 AM Midpoint: Strong hit rates (67-92%)
These are independent probabilities - they do not predict which is hit first, just whether each level gets visited.
3. ASIA RANGE Section
Real-time comparison of today's Asia session range versus recent history:
Sessions Captured: Shows how many sessions are in the rolling calculation (e.g., "18 / 50" = 18 sessions captured out of 50 requested). This alerts users if their chart history is insufficient
Current Range: Today's Asia high minus Asia low in points
Mean Range: Average range over the captured sessions
Percentile Rank: Where today's range falls in the distribution
80th percentile (red background): Unusually large range - top 20% of days
60-80th percentile (light gray): Above average
20-60th percentile (white): Normal range
Less than 20th percentile (light blue): Unusually small range - bottom 20% of days
4. LONDON RANGE Section
Identical structure to Asia Range section, analyzing the London session's range characteristics.
Why Percentile Rank Instead of Standard Deviation?
Intraday ranges exhibit right-skewed distributions with fat tails (volatility spikes create extreme outliers). Percentile rank is distribution-free and robust to these characteristics, providing more reliable identification of unusual ranges than z-scores or standard deviations.
How To Use This Indicator
For Context and Confluence
This is not a standalone trading system. The indicator provides statistical context to support other analysis:
Understanding Session Bias: If the table shows 76% probability of hitting the session high first, you know there is a statistical lean toward upside range expansion
Target Setting: If trading a breakout above the overnight high, knowing that Asia high gets hit 75% of the time helps assess target viability
Entry Timing: The 7-8 AM midpoint's 94% hit rate makes it an excellent re-entry or scaling level
Range Expansion Assessment: Percentile rankings help identify whether overnight sessions showed abnormal volatility, which may influence NY session behavior
Pattern-Specific Insights
London Partial Up plus NY Opens Below London Midpoint:
Midnight open hit rate jumps to 87.82% (strong mean reversion)
Suggests counter-trend reversal back toward overnight lows is likely
London Partial Down plus NY Opens Above London Midpoint:
Midnight open hit rate is 86.30%
Mirror pattern - reversion toward overnight highs
Asia Engulfs London Pattern:
Very high hit rates (85-98%) across all levels
Suggests consolidation/mean reversion during NY session rather than directional expansion
Typical Workflow
8:00 AM: Review the statistics table - which pattern occurred? Where did NY open relative to London midpoint?
Check Hit Rates: Note which levels have the highest probabilities of being touched
Assess Range Percentiles: Are Asia/London ranges unusually large or small? High percentiles may indicate already-extended ranges
Combine With Your Strategy: Use the statistics as confluence with your technical analysis, support/resistance, or order flow
Customization Options
Trading Sessions Settings
Session Visualization:
Toggle each session on/off independently
Customize colors for each session (New York, London, Asia)
Adjust background transparency using "Range Area Transparency" slider (0-100, default 90)
Show/hide session outlines with "Range Outline" checkbox
Each session has three customizable parameters on the same line:
Checkbox to enable/disable the session
Text field to rename the session label if desired
Color picker to select the session's display color
Hit Rate Levels Settings
Master Controls:
"Show Hit Rate Levels" - Master toggle to show or hide all level lines and labels
Individual Level Toggles:
"7-8 AM Midpoint" - Toggle the 7-8 AM hour midpoint level
"Midnight Open" - Toggle the midnight opening price level
"2-3 AM Midpoint" - Toggle the 2-3 AM hour midpoint level
Hourly Level Styling (applies to 7-8 AM Mid, Midnight, and 2-3 AM Mid):
"Hourly Level Color" - Color picker for all three hourly levels
"Hourly Level Line Width" - Thickness of hourly level lines (1-5, default 1)
"Hourly Level Line Style" - Choose between Solid, Dashed, or Dotted lines (default Dashed)
Session High/Low Styling (applies to Asia High/Low and London High/Low):
"Session High/Low Line Width" - Thickness of session extreme lines (1-5, default 1)
"Session High/Low Line Style" - Choose between Solid, Dashed, or Dotted lines (default Solid)
Additional Options:
"Show Session Midpoints" - Toggle display of Asia and London midpoint reference lines (dotted lines that end when each session completes)
"Label Text Size" - Size of percentage labels on all levels (tiny, small, normal, large, default small)
Table Settings
Statistics Table Controls:
"Show Statistics Table" - Master toggle to display or hide the entire statistics table
"Stats Table Position" - Choose from 9 positions on the chart:
Top: Top Left, Top Center, Top Right
Middle: Middle Left, Middle Center, Middle Right
Bottom: Bottom Left, Bottom Center, Bottom Right
"Stats Table Size" - Text size within the table (Auto, Tiny, Small, Normal, Large, Huge, default Small)
"Sessions for Stats Calculation" - Number of historical sessions to use for percentile calculations (5-100, default 50)
Lower values (20-30): More responsive to recent market conditions
Higher values (50-100): More stable baseline, requires more chart history
The table displays "Sessions Captured" to show how many sessions were actually available
Important Limitations and Considerations
1. This Is Historical Data, Not Prediction
The statistics show what happened in the past given similar setups. Markets evolve, regimes change, and past probability does not guarantee future outcomes. A 75% hit rate means that in 25% of historical cases, the level was NOT hit.
2. Chart History Requirements
TradingView imposes data limits:
5-minute chart: Approximately 10 days of history (enough for minimal statistics)
1-minute chart: Approximately 2-3 days of history (insufficient for percentile calculations)
Use 5-minute or higher timeframes to ensure adequate session capture
The table displays "Sessions Captured" (e.g., 18/50) to alert you when your chart history is limited.
3. Session Timing Is Fixed (EST)
All sessions use America/New_York timezone:
Asia: 8PM-2AM
London: 2AM-8AM
NY: 8AM-4PM
These times do not adjust for daylight saving changes in other regions. The definitions match CME NQ futures trading hours.
4. The Statistics Are From 2013-2025 Data
The 12-year analysis period includes:
Multiple market regimes (bull/bear/sideways)
Various volatility environments
QE, taper tantrums, COVID, 2022 bear market, 2023-2024 rally
However, it is still a limited sample. Future market structure changes (algorithmic trading evolution, regulatory changes, etc.) may alter these probabilities over time.
5. No Real-Time Calculation
This indicator does not recalculate statistics based on your chart's data. It displays pre-calculated probabilities. The only real-time calculations are:
Which pattern occurred today
Where NY opened relative to London midpoint
Current session ranges and their percentile ranks (based on your chart's recent history)
Statistical Methodology Details
Data Source
Instrument: NQ (Nasdaq-100 E-mini Futures) continuous contract
Timeframe: 1-minute bars
Period: January 2013 - January 2025 (12 years)
Sample Size: 3,132 trading days analyzed
Analysis Approach
Each trading day was classified by overnight pattern (4 types). NY opening position vs London midpoint was determined. For each combination (4 patterns times 2 positions equals 8 scenarios), the following was measured:
How often each level (session highs/lows, hourly midpoints) was touched during 8AM-4PM
Which session extreme (high or low) was hit first
Mean distance from 8 AM open to each level
Session ranges were measured for percentile analysis. All percentages were rounded to two decimal places for display.
Why These Specific Levels?
The levels were not chosen arbitrarily:
Session highs/lows: Natural support/resistance from overnight price discovery
7-8 AM midpoint: The final hour before NY open often establishes the opening range balance point
Midnight open: Represents the "true" start of the trading day (6PM-5PM structure)
2-3 AM midpoint: Captures early London price action balance
Testing showed these levels had the highest and most consistent hit rates across different patterns and setups.
Technical Implementation Notes
Language: Pine Script v5
Drawing Objects: Uses boxes for session visualization, lines for levels, labels for percentages, table for statistics
Performance: Optimized for real-time use with max limits set (500 boxes, 500 lines, 500 labels)
Calculations Per Bar:
Session detection (3 sessions)
Hourly detection (3 hourly periods)
Pattern classification
Conditional probability lookup
Percentile rank calculation (for session ranges)
All heavy statistical analysis was performed offline. The indicator only performs simple lookups and real-time range tracking.
Educational Value
Beyond trading application, this indicator demonstrates:
Conditional Probability: How market context (opening position, overnight structure) dramatically changes probabilities
Mean Reversion Dynamics: Why certain levels (7-8 AM midpoint, midnight) have such high revisit rates
Pattern Recognition: How overnight session relationships create different NY session behaviors
Distribution Analysis: Using percentile ranks instead of parametric statistics for skewed data
Understanding these concepts helps traders develop more sophisticated market models beyond simple "support and resistance."
Final Notes
This indicator is a tool for informed decision-making, not a crystal ball. It answers questions like:
"What typically happens in this setup?"
"How often does price revisit these levels?"
"Is this overnight range unusual?"
It does NOT answer:
"Should I buy or sell right now?"
"Where will price be at 4 PM?"
"What will happen tomorrow?"
Combine these statistics with proper risk management, sound trading strategy, and awareness that any individual day can deviate significantly from historical norms. The power of this indicator lies in providing objective, data-driven context to complement your analysis - not in replacing your judgment.
Precision Entry Systementry system for smc and ict with order blocks and fvgs to make sniper entries and precision and quick execution
Dual Range Volume Profile█ OVERVIEW
“Dual Range Volume Profile” is a volume analysis indicator that displays two independent volume profiles simultaneously:
- Main Profile – a profile built from the entire visible chart range
- Pivot Profile – a profile calculated from the most recent significant pivot (swing high / swing low)
This allows the trader to see at the same time:
- where the market accumulated volume in the broader structural context,
- and where price equilibrium is forming within the current move.
The indicator draws a volume-by-price histogram, POC, Value Area (VA), and an information table with key levels. It combines macro and micro context in one tool.
█ CONCEPTS
Volume Profile shows at which price levels the highest trading activity occurred — in other words, where the market actually built positions.
Main Profile
This profile is calculated from the entire visible chart range. It provides a broad context:
- historical market balance
- areas of position building
- levels that often act as price magnets
It represents the structural balance of the market.
Pivot Profile
This profile begins at the most recent confirmed pivot (swing high / swing low). It shows the volume distribution inside the current impulse and helps evaluate:
- where new positions are being built
- whether the move is supported by volume
- where a new balance is forming
It represents the context of the current move.
POC – Point of Control
The price level with the highest volume. It often acts as:
- the center of balance
- a price magnet
- a reaction level during retests
Value Area (VA)
The price range where a defined percentage of total volume occurred. VA represents the area of balance between buyers and sellers.
█ FEATURES
- Two volume profiles working simultaneously (global + pivot-based)
- Separate POC for each profile
- Value Area displayed as a box and VA High / VA Low lines
- Configurable VA percentage
- Automatic pivot detection with “Last PH/PL” label
- Volume gradient from low to high
- Full visual customization and an info table with levels
█ HOW TO USE
The Main Profile helps determine where price stands relative to the broader market balance — whether it trades above, inside, or below value.
The Pivot Profile shows how volume is distributed within the current move and whether the impulse is truly supported by market activity. Retests of the pivot POC often behave as local support or resistance.
█ APPLICATIONS
In practice, the indicator is best used for working with price reaction zones and evaluating move quality.
POC and Value Area boundaries often behave like dynamic support and resistance because they represent price levels where the market spent the most activity and participation. After a strong impulse, price frequently returns to the pivot POC or VA boundaries, where the market decides between continuation or a return to balance.
Value Area can also serve a different role — as a compression zone before a move. When price consolidates inside VA for an extended period, the market is in balance. A breakout beyond VA signals a shift from balance to imbalance (volatility expansion). If the breakout is followed by a retest of the VA boundary from the outside, accompanied by increased volume, this often creates an opportunity to enter in the breakout direction.
Particularly strong zones appear when multiple contexts align: Main POC is close to Pivot POC, both Value Areas overlap, and the level coincides with market structure (swings, OB, FVG, higher timeframe levels, etc.). This combination of structure and two layers of volume creates areas with increased probability of price reaction.
The indicator also helps assess move quality — if price moves aggressively but the Pivot Profile does not build meaningful volume, the move may be weak and prone to pullbacks.
█ NOTES
When the chart is heavily zoomed in, both profiles may appear very similar. This can lead to the false conclusion that a zone is exceptionally strong, while it is only the effect of a narrowed data range. Profiles should always be interpreted from a broader perspective, aligned with your trading horizon.
The indicator is not suitable for markets where volume does not reflect real traded activity (e.g., tick volume, synthetic volume, or aggregated data without true liquidity). The quality of volume data directly affects the quality of the levels.
There are also markets where no real volume data exists at all. In such environments, the indicator cannot function properly, as its calculations depend entirely on meaningful volume information.
SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro
Master the Flow with Institutional Precision.
It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup.
This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money.
🧠 The Philosophy
Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level.
🛠️ Key Features & Functionality
⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range.
🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries.
⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives.
📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels.
⚙️ Customizable Modes
The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend.
The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value.
The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays.
🚀 How to Trade with STVL Pro
Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B).
Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B).
You can preset filter A to EMA 2000
You can preset filter B to HMA 5000.
If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict.
⚠️ Disclaimer
Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
Elliott Wave Auto S🌊 ELLIOTT WAVE AUTO — Automatic Elliott Wave Detection
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📜 THE HISTORY
Ralph Nelson Elliott (1871-1948), an American accountant, spent his forced retirement analyzing 75 years of Dow Jones data... by hand. In 1938, he published "The Wave Principle", revealing that markets move in repetitive patterns of 5 impulse waves followed by 3 corrective waves (A-B-C).
What's often forgotten: Elliott worked primarily on MONTHLY and WEEKLY timeframes. A complete cycle could take months, even years. It was a strategy of PATIENCE, not scalping.
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🎯 OUR APPROACH
This indicator attempts to stay as close as possible to Elliott's original method. The algorithm uses Pivot Point detection (ta.pivothigh / ta.pivotlow) to objectively identify tops and bottoms.
Unlike manual counting where 3 analysts give 3 different results, this method is:
✅ Mathematical — No subjective interpretation
✅ Reproducible — 100 traders = 1 single count
✅ Automatic — Real-time detection
✅ Open source — Nothing hidden, study it freely
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⛔ ORANGE LABELS — INVALIDATIONS
You will sometimes notice ORANGE labels with the ⛔ symbol on your chart. These are not errors! They indicate that a fundamental Elliott rule has been violated, invalidating the current cycle.
Back in his time, Elliott established strict rules to validate a count. If any of these rules is broken, the cycle is no longer valid and we must start looking for a new starting point.
Here are the 3 fundamental rules applied by this indicator:
┌─────────────────────────────────────────────────────────────────┐
│ 📖 RULE 1: Wave 2 NEVER retraces 100% of Wave 1 │
│ │
│ If Wave 2 price exceeds the starting point of Wave 1, │
│ it wasn't a true Wave 1. │
│ → The indicator then reverses the trend (BULL ↔ BEAR) │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ 📖 RULE 2: Wave 3 is NEVER the shortest │
│ │
│ Wave 3 is supposed to be the most powerful. If it's shorter │
│ than Wave 1 AND Wave 5, the count is invalid. │
│ → Orange label "5 ⛔" displayed, cycle cancelled │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ 📖 RULE 3: Wave 4 NEVER overlaps Wave 1 territory │
│ │
│ In an uptrend: Wave 4 low cannot drop below Wave 1 high. │
│ In a downtrend: Wave 4 high cannot exceed Wave 1 low. │
│ → Orange label "4 ⛔" displayed, cycle cancelled │
└─────────────────────────────────────────────────────────────────┘
💡 These invalidations are NORMAL and part of the method. They ensure that only cycles perfectly respecting Elliott's theory are counted. That's why you'll see few complete cycles — exactly like in Elliott's time.
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📊 HOW TO USE IT
▸ Wave 1: Cycle start detected. Watch, don't act.
▸ Wave 2: Potential ENTRY zone. The retracement is over,
Wave 3 (the most powerful) should follow.
▸ Wave 3: The most powerful! Never trade against a Wave 3.
Let your profits run.
▸ Wave 4: Second potential ENTRY zone for those who missed Wave 2.
▸ Wave 5: Last impulse. Prepare your EXIT.
The impulse cycle is ending.
▸ Waves A-B-C: Correction phase. Patience recommended.
Wait for the end of C for the next cycle.
▸ Orange Label ⛔: Rule violated, cycle invalidated.
The indicator starts looking for a new cycle.
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🔔 TOGGLEABLE ALERTS
Each wave has its own alert, individually toggleable in the settings:
🌊 Wave 1 — Cycle start
🌊 Wave 2 — Potential entry zone
🌊 Wave 3 — The most powerful
🌊 Wave 4 — Potential entry zone
🌊 Wave 5 — Last impulse
🔄 Wave A — Correction start
🔄 Wave B — Corrective bounce
🔄 Wave C — Correction end
✅ Complete cycle
💡 Tip: Enable only the alerts that match your strategy. For example, only "Wave 2" and "Wave 4" for entries, and "Wave 5" for exits.
═══════════════════════════════════════════════════════════════════
📏 SETTINGS
▸ Move Size:
• Small = More signals, more noise (scalping)
• Medium = Balanced (intraday/swing) ← Recommended
• Large = Fewer signals, more reliable (position)
Note: Sensitivity automatically adjusts based on your
timeframe for optimal results.
▸ Labels: Display 1, 2, 3, 4, 5, A, B, C on the chart
▸ Lines: Visually connect the waves
▸ Fibonacci Ratios: Display each wave's ratio (optional)
▸ Label Size: Small / Normal / Large per your preference
═══════════════════════════════════════════════════════════════════
🎨 COLOR CODE
🟢 Green = Bullish trend (BULL)
🔴 Red = Bearish trend (BEAR)
🟣 Pink/Purple = Corrective waves (A, B, C)
🟠 Orange = Invalidation (Elliott rule violated)
═══════════════════════════════════════════════════════════════════
⚠️ DISCLAIMER
Like in Elliott's time, complete 1-2-3-4-5-A-B-C cycles are RARE. This is normal and intentional.
The Elliott Wave method is a patience strategy that rewards those who know how to wait for perfect setups. The many invalidations (orange labels) prove that the indicator strictly respects the original rules.
If you're looking for dozens of signals per day, this method is probably not for you. But if you value quality over quantity, welcome.
Happy trading! 🌊
SMA 20 & 5 MagicMoving Average based envelops and bands are quite popular tools in the equity trading universe. One such popular band is 20 SMA High-Low band. In 20 SMA High-Low band generally a BUY is signaled when price breaks above the High of the band, and a SELL when price falls below the Low of the band. However, at times the time-price points to look for trading/ investing opportunities and taking position are not very clear in this generic mode.
This script combines the 20 SMA High-Low band and a 5 SMA line plotted over it, to tackle this limitation. It helps to find more precise trading/ investing opportunities, Entry and Exit time-price points above & below the band, traversing along the 5 SMA line. The price within the band is usually considered as 'no trades' zone.
This set up can be applied on any TF, but generally holds good for swings on daily/ hourly TFs. By tweaking SMA 20 and 5 to SMA 200 and 50 respectively in the settings, it may also help in identifying medium/Long term trends and investment opportunities using daily/ weekly TFs .
Take it as a tool for learning and analysis. Happy trading/ investing.
FX-CLINIC: Ultimate ICT Toolkit V1FX-CLINIC: Ultimate ICT Toolkit V1
ICT indicator contain multiple tools working powerful together
1- EXTRNAL STRUCTURE:
# Show EMSS,EBOS automatic
# Can control the length of the swing
# Can Change color type of the label and the line
2- INTERNAL STRUCTURE:
# Show IMSS,IBOS automatic
# Can control the length of the swing
# Can Change color type of the label and the line
3- LIQUIDITY LEVELS
# BSL,SSL
# Can control the strong of liquidity from 1-20
# Can Change color type of the label and the line
4- LIQUIDITY SWEEP:
# Can control the strong of liquidity from 1-20
# Can Change color type of the label and the line
5- FVG
# Automatic updated and deleted if break 100% by body candle
# Can Change color type of the label and the line
# Has 50% line and Can Change color type
6- ORDER BLOCK
# Automatic updated and deleted if break 100% by body candle
# Can Change color type of the label and the line
# Has 50% line and Can Change color type
Adaptive Elliott Wave: Forecast + Dashboard (V.2)Title: Adaptive Elliott Wave: Forecast + Dashboard
Description:
Overview
The Adaptive Elliott Wave: Forecast + Dashboard is a technical analysis tool designed to visualize potential Elliott Wave structures using a dynamic, multi-factor approach. Unlike static wave scripts, this indicator adapts its projections based on real-time trend context (Weighted Moving Averages) and momentum shifts (RSI). It is built to help traders identify the most likely path—Impulse or Correction—based on current market conditions.
How It Works
The script uses a combination of pivot-point detection and trend filtering to project future wave paths.
Pivot Logic: The indicator identifies significant Highs and Lows using a sensitivity setting. These pivots form the "anchors" for the Elliott Wave count.
Adaptive Engine: The "Auto-Detect" mode analyzes the relationship between the 50/200 WMA (Trend) and RSI (Momentum).
In a Bull Trend: If RSI is oversold, the script anticipates a bullish "Impulse" wave. If RSI is overbought, it prepares for a "Correction."
In a Bear Trend: The logic reverses to project rallies or downward impulses.
Projections: It calculates Fibonacci-based targets for waves 1-5 (Impulse) or A-B-C/W-X-Y (Correction) and renders them as "ghost lines" that move with the price.
Macro Outlook: For long-term context, the script includes a Macro Projection feature that uses higher-period pivots to show the possible 1-year direction.
Key Features
Target Table: A real-time dashboard showing exact Fibonacci target prices and the percentage distance from the current price.
Corrective Channels: Automatically draws channels for wave corrections to help identify potential breakout or breakdown zones.
Bullish/Bearish Extensions: Shows immediate volatility-based extensions beyond the last confirmed pivot.
RSI Signals: Visual markers on the chart indicate overbought/oversold conditions that feed into the adaptive logic.
How to Use
Identify the Phase: Use the "AI STATUS" in the dashboard to see if the script is currently projecting an Impulse (Trend move) or a Correction (Counter-trend).
Confirm with WMA: Use the 50 (Blue) and 200 (Orange) WMAs to confirm the macro trend before following a projection.
Monitor Fib Targets: Watch for price reactions at the projected labels. If price breaks a target significantly, the wave count may need to be re-evaluated (re-pivot).
Customize Sensitivity: For scalping, lower the "Short-Term Sensitivity." For swing trading, increase it.
Disclaimer
This script is for educational purposes only. Elliott Wave Theory is subjective, and projections are mathematical estimates based on historical volatility. Past performance does not guarantee future results. Always use proper risk management.
Settings Guide
Forecast Mode: Choose between "Auto-Detect" (Dynamic) or manually force an Impulse/Correction count.
Macro Sensitivity: Controls how far back the script looks to generate the purple 1-year projection.
Link Correction to Extension: A unique feature that starts the forecast from a potential extension target rather than the current live price.
GeorgeFX - CRT 4H Hunter ProThe GeorgeFX - CRT 4H Hunter Pro is a professional liquidity-tracking indicator designed for the 15-minute timeframe. It identifies high-probability reversals by monitoring 4-Hour (HTF) liquidity sweeps and confirming entries via local market structure shifts.
Core Logic:
1.HTF Liquidity Detection: The script tracks the Previous 4H High and Low.
2.The Sweep (Liquidity Grab): It identifies when the 15m price pierces these 4H levels and closes back inside, signaling a potential "trap."
3.Volume Filter: Only sweeps with volume higher than the 20-period average ($1.1x$ multiplier) are considered valid.
4.Multi-Sweep Memory: The script tracks consecutive sweeps (C1, C2, C3) within the same 4H candle, resetting only when the price re-enters the 4H range.
5.Precision Entry (The Dot): A signal (●) is generated only when the 15m price closes beyond the trigger candle's body, confirming momentum.
Visual Elements:
1.Stepline Levels: Red (4H High) and Green (4H Low) lines showing the HTF boundaries.
2.Sweep Boxes: Shaded regions showing the depth of the liquidity grab.
3.Confirmation Dot (●): High-visibility Lime (Buy) or Red (Sell) dots marking the exact entry candle.
4.Trigger Lines: Horizontal lines connecting the sweep to the entry point.
5.Visibility Limit: Display is optimized to show only the last 200 bars to keep the chart clean.
Professional Alert System:
1.The script uses a standardized "Pro-Signal" format designed for instant readability on mobile devices or smartwatches.
2.Alert Trigger: Fires exactly at the close of the 15m confirmation candle.
How to Set Up Alerts:
1.Apply the script to your 15-minute chart.
2.Click the Alerts icon (Clock) in the right sidebar.
3.Set Condition to GeorgeFX - CRT 4H Hunter Pro.
4.Select Any alert() function call.
5.Set Expiration to "Open-ended" and click Create.
Outlier Resistant Moving AverageOutlier Resistant Moving Average (ORMA) | MisinkoMaster
Outlier Resistant Moving Average (ORMA) is a trend-following moving average designed to reduce the impact of abnormal price spikes while preserving responsiveness to real market moves. The goal is to provide a smoother and more stable trend reference that remains usable even during volatile or erratic price behavior.
Unlike traditional moving averages that react strongly to sudden price shocks, ORMA adapts its behavior to volatility conditions, helping traders follow trends without being constantly misled by temporary price extremes.
Key Features
Moving average designed to resist distortion from price outliers
Adaptive smoothing behavior that reacts to volatility conditions
Optional ATR-based dynamic bands for trend confirmation
Multiple moving average types supported as the calculation base
Flexible trend detection logic options
Automatic trend coloring and signal labeling
Candle coloring for intuitive trend visualization
How It Works
ORMA builds upon a selectable base moving average and modifies its behavior to reduce the influence of abnormal price movements. Instead of reacting equally to all price changes, the calculation adjusts its responsiveness according to changing volatility conditions.
When market volatility expands, the indicator becomes more conservative, preventing sudden spikes from distorting the average. During calmer conditions, responsiveness increases, allowing the average to track price action more closely.
Optional ATR-based bands can be applied around the average, allowing traders to use band breakouts as confirmation of trend strength rather than relying solely on slope changes.
The result is a moving average that remains stable in noisy markets while still adapting during real trend movements.
Inputs Overview
Source — Selects the price source used in calculations
Moving Average Length — Controls smoothing and calculation sensitivity
ATR Length — Controls volatility measurement used for adaptive behavior
Base Moving Average — Selects which MA type forms the calculation foundation
Trend Logic — Determines whether trend is detected via crossover, slope change, or both
Use ATR Bands — Enables or disables dynamic ATR bands
ATR Factor — Controls band distance from the average
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Floored Offset — Optional ALMA configuration affecting smoothing behavior
Usage Notes
Useful for filtering noise during volatile or choppy markets
ATR bands can help confirm stronger breakouts or trend continuation
Trend logic modes allow adaptation to different trading styles
Suitable for swing trading, trend-following, and position trading approaches
Can act as dynamic support or resistance in trending markets
Works well when combined with momentum or volume confirmation tools
Summary
Outlier Resistant Moving Average offers a volatility-aware trend reference that helps traders remain aligned with broader price movement while minimizing disruptions from sudden price spikes. It is especially useful for traders seeking smoother trend identification without sacrificing adaptability.
ICT ToolkitICT Toolkit is a visual charting toolkit that combines multiple ICT-style reference levels into one indicator, with a focus on clean right-edge labeling and reduced chart clutter.
Features
- Daily reference levels: Daily High, Daily Low, and Daily 50% (Mid)
- Optional previous day High/Low levels
- Session / Killzone boxes (Asia, London, New York)
- Multi-timeframe Swing High / Swing Low levels
- Multi-timeframe Equal High / Equal Low levels
- Optional FVG size labeling
- Improved label readability (overlap handling and merging)
Credits / Attributions (Open-Source Reuse)
Parts of this script were inspired by / adapted from the following open-source TradingView scripts:
Dynamic Customizable 50% Line & Daily High/Low + True Day Open:
Swing High/Low Detector (RV5):
ICT Killzones & Pivots (TFO):
FVG Size reference:
All reused logic has been modified and integrated into a single toolkit with additional features and improved label/overlap handling.
Notes / Disclaimer
This indicator is a visual toolkit and does not provide buy/sell signals or performance claims. Always validate session times, timezones, and levels for your specific market.
Impulse OTE Fibonacci & Trend Catcher V2------------IMPORTANT------------
Look at the first 3 options in the input settings. You can change these based on what your trading - crypto, NQ, Forex etc. There are tool tips with the recommended settings there as well.
------------What the trader is supposed to do------------
Wait for an UP or DOWN arrow (trend shift).
Let the indicator lock an impulse and draw the fibs.
When price pulls into OTE, it prints READY.
When confirmation happens, it prints ENTRY.
------------Why it’s useful------------
It’s meant to stop you from:
taking random fibs from random swings,
trading weak/noisy moves,
or entering too early without confirmation.
Instead it forces a simple flow:
Trend → Impulse → Pullback to OTE → Confirmed entry
Double Trisectional Volatility BandsDouble Trisectional Volatility Bands (DTVB) | MisinkoMaster
Double Trisectional Volatility Bands (DTVB) is a volatility-based trend indicator designed to create smooth yet adaptive price envelopes capable of tracking trend structure while reacting to volatility expansion. The indicator emphasizes stability during consolidation while clearly highlighting strong price moves beyond normal market behavior.
This makes DTVB particularly suitable for traders seeking structured volatility envelopes that remain stable during noise yet clearly identify breakout and trend continuation phases.
Key Features
Double-layer trisectional smoothing for stable trend structure
Adaptive volatility bands responding to changing market conditions
Clear breakout detection through band expansion and price crossings
Dynamic candle coloring for immediate trend visualization
Automatic Long and Short markers on confirmed trend shifts
Designed to balance smooth structure with volatility responsiveness
Suitable for both breakout and trend-following strategies
How It Works
DTVB uses a multi-stage smoothing process that divides price behavior into layered components, allowing the central structure to remain smooth while still reacting to changing volatility conditions.
Instead of relying on a single smoothing pass, the indicator blends multiple smoothing layers to maintain structural consistency across varying market environments.
A volatility component then measures how far price deviates from this smoothed structure, and adaptive bands are constructed around the central value. When price moves outside these envelopes, it signals abnormal movement or potential trend continuation.
The result is a band system that stays stable during sideways markets yet expands when volatility increases, helping traders detect meaningful price transitions.
Inputs Overview
Source — Selects the price data used for calculations
Lookback Period — Controls the primary smoothing length used in the band structure
Factor — Adjusts the volatility multiplier controlling band width
Volatility Lookback — Defines the smoothing period applied to volatility calculations
Usage Notes
Designed for traders seeking smooth volatility envelopes
Breakouts occur when price crosses outside the bands
Band expansions often accompany strong trend movements
Works well for trend continuation and breakout confirmation
Best used alongside price structure or confirmation indicators
Parameters should be tuned according to asset volatility and timeframe
Summary
Double Trisectional Volatility Bands provide a smooth yet adaptive volatility envelope designed to highlight abnormal price movements while maintaining stable structure during consolidation. It is well suited for traders seeking structured breakout and volatility-aware trend analysis tools.
Adaptive Structure Trend Engine (ASTE)Adaptive Structure Trend Engine (ASTE)
Adaptive Structure Trend Engine (ASTE) is a non-repainting, multi-layer trend analysis indicator designed to help traders identify high-quality directional opportunities using market structure and adaptive moving averages. ASTE focuses on trend clarity, confirmation, and signal cleanliness, avoiding indicator noise and repeated signals.
🔍 Core Components
ASTE combines four powerful concepts into a single, structured framework:
• FRAMA (Fractal Adaptive Moving Average)
Detects market structure and directional slope changes.
• KAMA (Kaufman Adaptive Moving Average)
Measures price efficiency and regime stability.
• JMA (Jurik-style Moving Average)
Provides smooth momentum confirmation with minimal lag.
• EMA Hierarchy (21/50 + 50/100/150/200)
Validates trend strength and higher-order alignment.
📊 Signal Types
ASTE produces state-based signals (no repeated alerts on every bar):
1️⃣ Base Signal
Single tiny triangle
• FRAMA slope alignment
• KAMA direction confirmation
• JMA momentum confirmation
• EMA 21/50 trend validation
2️⃣ Strong Signal
Two stacked triangles
• All Base Signal conditions
• PLUS EMA 50/100/150/200 full trend confluence
Signals remain active until an opposite signal of the same type appears.
🎨 Visual Design
• Clean stacked triangle system
• No repainting
• No signal spam
• EMA band with gradual color transition
• Fully configurable visibility options
⚙️ User Controls
• Adjust FRAMA, KAMA, and JMA lengths
• Toggle Base / Strong signals
• Show or hide EMA band
• Works on all markets and timeframes
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Always use proper risk management and confirm signals with additional analysis. Past performance does not guarantee future results.
Level 1 Gold - MAs & BiasLevel 1 Gold - MAs & Bias
A clean trend bias indicator designed for the Level 1 Gold trading strategy.
Features:
EMA 5 (Orange) - Fast exponential moving average for momentum confirmation
SMA 21 (Blue) - Slow simple moving average for trend direction
Trend Bias Detection - Tracks the last EMA5/SMA21 crossover to determine trade direction:
EMA5 crosses ABOVE SMA21 → "BUYS ONLY" (only take long trades)
EMA5 crosses BELOW SMA21 → "SELLS ONLY" (only take short trades)
Session Filter - Highlights invalid trading sessions (default: 06:00-16:00 UK time, avoids Monday AM and Friday PM)
Crossover Markers - Green Circle (bullish cross), Red Circle (bearish cross)
How to Use:
Wait for an EMA5/SMA21 crossover to establish bias
Only take trades in the direction of the bias
Avoid trading during shaded (invalid) session times
Look for breakouts across your horizontal support/resistance levels that align with the bias
Settings:
Moving average lengths (default: EMA 5, SMA 21)
Session times and filters (customizable)
Toggle visuals on/off
Adjustable colors
Best Used On: 1H timeframe for Gold (XAUUSD)
VIX-Market Stress & Volatility OscillatorVIXATA is a specialized sentiment tool designed to transform raw VIX data into a structured oscillator. By using fixed threshold levels, it identifies specific zones of market "complacency" and "extreme panic," helping traders spot potential market reversals with higher precision.
Technical Logic & Levels
Unlike standard VIX charts, VIXATA focuses on key psychological and technical levels to categorize market stress:
Level 20 (Green Dashed Line): The "Confidence Zone." Indicates a stable market where risk appetite is generally high.
Level 25-30 (Yellow/Orange Zones): The "Caution Zone." Volatility is rising, suggesting that the market is becoming unsettled.
Level 30 (Red Solid Line): The "High Stress" threshold. Historically, when VIXATA crosses this line, market fear is significant.
Level 40+ (Purple Solid Line): The "Extreme Panic" zone. These peaks often correlate with major price capitulations and long-term bottoming signals.
ATR Structure Trail Pro & Range Filter (v6)📌 ATR Structure Trail Pro & Range Filter (v6)
Multi-purpose trend-following and consolidation detection tool
🔍 Overview
This indicator combines structure pivots, an ATR-based trailing stop, range detection, and clean visual signals to identify trend shifts and potential trade zones.
It is designed for traders who want simple, clean structure reading without unnecessary chart noise.
This indicator does not guarantee profit and is intended for educational and analytical purposes only, serving as a visual aid for reading price action.
⚙️ Main Components
1️⃣ Structure Pivot Flip (Trend Change Detection)
The indicator uses Pivot High / Pivot Low structure to detect when price creates:
Higher High → BUY bias
Lower Low → SELL bias
When a structural flip occurs:
a green arrow appears (potential bullish setup)
or a red arrow appears (potential bearish setup)
These arrows are not trade signals, but visual markers highlighting a shift in market context.
2️⃣ ATR Trail Stop (Adaptive Trend Line)
The ATR trail line automatically adapts to market volatility:
green during bullish phases
red during bearish phases
The ATR multiplier determines how far the dynamic trail is placed relative to price.
The trail line is not a guaranteed exit level — it acts as a dynamic structural reference.
3️⃣ Range/Box Zones (Consolidation Filter)
When the indicator detects that price is entering a tight consolidation range based on ATR and recent volatility, it draws a box zone:
blue in bullish context
purple in bearish context
Range zones indicate low-risk/no-trade areas where entries are typically avoided according to price action logic.
🎯 Trading Logic (Non-Signaling)
This indicator is not a trading system.
It visually highlights:
✔ structure
✔ trend
✔ volatility
✔ consolidation
✔ potential reversals
Users make trading decisions independently of these visual elements.
🧩 Inputs & Customization
You can fully customize:
ATR length & multiplier
Pivot sensitivity
Box fill and border colors
ATR trail color, width, and style (solid/dashed/dotted)
Visibility of all components individually
The indicator works across all timeframes and instruments.
💡 How to Use
Use arrows as informational markers of structure change
Use the ATR trail as a dynamic guide for current trend
Use range boxes to avoid entries during consolidation
Combine it with your own price action analysis, EMA/Kijun lines, session opens, or volume levels
⚠️ Important Notes
This indicator provides no performance guarantees
Not financial advice or a trading signal
Users are responsible for their own testing and application
Intended strictly for educational and analytical use in compliance with TradingView’s rules
📬 Author Notes
If you find this indicator useful, feel free to leave a comment or suggestion for future improvements.
All inputs are open for expansion and further development.
stelaraX - Supply & Demand ZonesstelaraX – Supply & Demand Zones
stelaraX – Supply & Demand Zones is a price action indicator designed to automatically draw supply and demand zones based on pivot structure and candle confirmation. The script highlights potential institutional reaction areas and extends zones forward for easy planning and level-based analysis.
For advanced AI-based chart analysis and automated zone interpretation, visit stelarax.com
Core logic
The indicator detects zones using pivot logic with a user-defined lookback period.
Supply zones are created when:
* a pivot high is confirmed
* the candle at the pivot reference point is bearish (close below open)
Demand zones are created when:
* a pivot low is confirmed
* the candle at the pivot reference point is bullish (close above open)
Zone boundaries are defined using the pivot candle range:
* supply zone uses the pivot high as the top and the candle body high as the bottom
* demand zone uses the pivot low as the bottom and the candle body low as the top
Visualization
The script draws zones directly on the chart using extended boxes:
* supply zones are displayed in red tones
* demand zones are displayed in green tones
Each zone is extended forward by a configurable number of bars to keep the level visible for future price interaction. Zone colors and border styles are fully customizable.
The indicator maintains a clean chart by limiting the total number of active zones for both supply and demand.
Use case
This indicator is intended for:
* identifying key supply and demand reaction zones
* level-based trading and confluence analysis
* planning entries and exits around structural areas
* mapping potential reversal and continuation locations
* multi-timeframe zone tracking
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Volume Surge Breakout + TP/SL█ OVERVIEW
“Volume Surge Breakout + TP/SL” is a breakout indicator designed to capture strong momentum moves driven by sudden increases in trading volume and decisive price action. Instead of focusing on classical consolidation structures, the indicator reacts to volume-based impulses combined with candle strength, identifying moments when the market shifts out of short-term balance.
After a confirmed breakout, the indicator automatically plots the entry level, Stop Loss, and up to three Take Profit targets, making it a complete momentum-trading tool.
█ CONCEPTS
Strong market moves often begin with a sudden surge in volume, signaling increased participation and commitment from market participants. This indicator detects such moments by combining three core conditions:
- volume significantly above its average,
- a candle body clearly larger than the previous one,
- directional price close confirming bullish or bearish intent.
When these conditions are met, a momentum zone (box) is drawn around the signal candle. The box extends forward until a breakout occurs, which then triggers the entry signal and full TP/SL projection. A breakout in the opposite direction invalidates the zone, filtering out false impulses.
█ FEATURES
Volume filter
- volume > volume SMA × Volume Threshold (default 2.0×)
- adjustable volume average length (Volume SMA Length)
Candle strength filter
- current candle body > previous candle body × Body Multiplier
- removes weak and random price moves
Dynamic impulse zones (boxes)
- green for LONG, red for SHORT
- semi-transparent fill with colored borders
- boxes extend to the right until a breakout occurs
- opposite breakout deletes the zone
Breakout signals
- small green triangles below the bar (LONG)
- small red triangles above the bar (SHORT)
- signals appear only after a valid breakout from the zone
Volume strength display
- optional label showing the volume multiplier (e.g. 2.35×)
- color-coded to match trade direction
Automatic Take Profit & Stop Loss
- two SL calculation modes:
• ATR-based (default 1.5× ATR)
• Percentage-based from entry price
- up to 3 Take Profit levels based on Risk-to-Reward ratios
- independent visibility toggles for SL, TP1, TP2, TP3
- visual fills:
• red – risk zone
• green – reward zone
Single active trade logic
- TP/SL levels are locked once SL or the furthest TP is hit
- lines terminate exactly at the exit bar
Alerts
- LONG – bullish volume impulse
- SHORT – bearish volume impulse
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search for
“Volume Surge Breakout + TP/SL”.
After each valid breakout, you will see:
- a volume impulse box,
- a breakout triangle,
- the entry line,
- SL and TP1–TP3 levels,
- a visual risk-to-reward projection.
Key settings to optimize:
Volume
- Volume SMA Length – averaging period for volume
- Volume Threshold – minimum volume multiplier
- Body Multiplier – required candle body expansion
TP / SL
- choose SL mode: ATR or Percentage
- ATR period and multiplier
- RR values for TP1, TP2, TP3
Signal interpretation:
- Green box + green triangle + TP above price = LONG
- Red box + red triangle + TP below price = SHORT
- No breakout = no trade (box remains observational)
█ APPLICATIONS
- Momentum and breakout trading across all timeframes
- Best used as an entry trigger, not as a standalone strategy
Recommended confluence-based approach:
The highest-quality signals occur when the breakout aligns with broader market context:
- higher-timeframe trend agreement
- breakout signal generated by the indicator
- increasing momentum (e.g. RSI, MACD, custom momentum oscillators)
- no major resistance/support levels directly in front of price
- volume impulse confirming market participation
Example:
If the market is in an uptrend, a LONG breakout signal appears, momentum is accelerating, and no nearby resistance is present, the trade is worth considering, using the automatically projected RR levels.
- Aggressive two-sided trading is possible but requires stricter signal selection
- Higher RR setups (e.g. TP3 = 3–5× SL) with lower win rates often outperform over time
█ NOTES
This indicator works only on markets with real volume data (e.g. stocks, futures, many crypto markets).
On instruments without real volume (such as some CFD indices), signals may be unreliable or the indicator may not function correctly.
Always test and optimize parameters for the specific instrument and timeframe. The indicator intentionally does not interpret market structure — its sole purpose is to identify clean volume-driven impulses.
Zen Measured Moves - Price Extension Targets Based on Prior Bar Overview
Zen Measured Moves identifies potential price extension targets by projecting the prior bar's range forward from breakout points. This indicator helps traders anticipate how far price might travel after breaking above a prior high or below a prior low.
How It Works
The indicator calculates three measured move targets in each direction:
Bullish Targets (from prior bar's high):
0.5x - Half the prior range (50% extension)
1x - Full prior range (100% extension)
2x - Double the prior range (200% extension)
Bearish Targets (from prior bar's low):
0.5x - Half the prior range (50% extension)
1x - Full prior range (100% extension)
2x - Double the prior range (200% extension)
Visual Signals
Blue circles above bars indicate bullish measured moves achieved:
Light blue (tiny) = 0.5x target hit
Medium blue (small) = 1x target hit
Dark blue (normal) = 2x target hit
Red circles below bars indicate bearish measured moves achieved:
Light red (tiny) = 0.5x target hit
Medium red (small) = 1x target hit
Dark red (normal) = 2x target hit
Data Window Outputs
All calculated values are available in the Data Window for analysis or export to Excel:
Target hit indicators (1/0 boolean values)
Actual target price levels
Bar type classifications (bullish/bearish)
Range measurements
Internal Bar Strength (IBS) values
Use Cases
Identify potential profit targets after breakouts
Gauge momentum strength by which targets are reached
Filter for high-momentum vs low-momentum moves
Backtest measured move reliability on your instruments
Export data for statistical analysis in Excel
Best Practices
Works on any timeframe or instrument
Most effective when prior bar has clear directional bias
Consider combining with volume or other confirmation indicators
Use IBS values to assess entry/exit quality within bars
