SNP420/INDI/support_resist_future_levelFunctionality – short description
The indicator automatically detects the latest pivot highs/lows and builds the current resistance and support levels from them. New levels start as candidate levels (dotted lines).
Using an ATR-based tolerance, it counts how many times price precisely tests and rejects the level (touch + reversal).
Once the minimum number of touches is reached, the level is marked as validated (solid line). The indicator also detects breakouts of S/R, colors breakout candles, projects a target level after the breakout, and highlights retests of the broken levels with boxes.
autor: SNP_420
project: FNXS
ps: Piece a love
Supportandresistancezones
AP Capital – Volatility + High/Low Projection v1.1📌 AP Capital – Volatility + High/Low Projection v1.1
Predictive Daily Volatility • Session Logic • High/Low Projection Indicator
This indicator is designed to help traders visually understand daily volatility conditions, identify session-based turning points, and anticipate potential highs and lows of the day using statistical behavior observed across thousands of bars of intraday data.
It combines intraday session structure, volatility regime classification, and context from the previous day’s expansion to highlight high-probability areas where the market may set its daily high or daily low.
🔍 What This Indicator Does
1. Volatility Regime Detection
Each day is classified into:
🔴 High Volatility (trend continuation & expansion likely)
🟡 Normal Volatility
🔵 Low Volatility (chop, false breaks, mean-reversion common)
The background color automatically adapts so you always know what environment you're trading in.
2. Session-Based High/Low Identification
Different global sessions tend to create different market behaviors:
Asia session frequently sets the LOW of day
New York & Late US sessions frequently set the HIGH of day
This indicator uses those probabilities to highlight potential turning points.
3. Potential High / Low of Day Projections
The script plots:
🟢 Potential LOW of Day
🔴 Potential HIGH of Day
These appear only when:
Price hits the session-statistical turning zone
Volatility conditions match
Yesterday’s expansion or compression context agrees
This keeps signals clean and prevents over-marking.
4. Clean Visuals
Instead of cluttering the chart, highs and lows are marked only when conditions align, making this tool ideal for:
Session scalpers
Day traders
Gold / NAS100 / FX intraday traders
High-probability reversal traders
🧠 How It Works
The engine combines:
Daily range vs 20-day average
Real-time intraday high/low formation
Session-specific probability weighting
Previous day expansion and volatility filters
This results in highly reliable signals for:
Fade trades
Reversal setups
Timing entries more accurately
✔️ Best Uses
Identifying where the day’s range is likely to complete
Avoiding trades during low-volatility compression days
Detecting where the market is likely to turn during major sessions
Using potential HIGH/LOW levels as take-profit zones
Enhancing breakout or reversal strategies
⚠️ Disclaimer
This indicator does not repaint, but it is not a standalone entry tool.
It is designed to provide context, session awareness, and volatility-driven turning points to assist your existing strategy.
Always combine with sound risk management.
[MTX] Weekly Support & Resistance Weekly Support & Resistance
Overview
Discover key market structure with this all-in-one indicator:
Weekly Support & Resistance (SR) levels , Fair Value Gap (FVG) detection , and Automatic Fibonacci retracements .
Designed for MTX traders, it plots non-repainting weekly highs/lows/opens/closes, highlights unmitigated FVGs for potential imbalances, and auto-draws Fib levels, Perfect for swing/day traders on XAUUSD.
🚀 Key Features
- Weekly SR Levels : Plots previous week's High (resistance), Low (support), Open, and Close. Optional historical levels (Week -2/-3).
- SR Zones : Customizable % zones around levels for dynamic support/resistance bands. Fill colors for easy visualization.
- FVG Detection : Identifies bullish (green) and bearish (red) Fair Value Gaps on your chart timeframe.
- buy/sell Signals :
- Trend Filter : Optional EMA/SMA to filter signals
- Auto Fibonacci : auto-retracement with 20+ levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%, extensions to 423.6%, negatives). Custom colors, labels, and background fills.
- Alerts: Built-in for FVG creation/mitigation + all buy/sell signals. Set up once for real-time notifications.
⚠️ Important Disclaimer
This indicator is for educational and analysis purposes only. It provides visual tools and signals based on historical price action— not financial advice. Past performance ≠ future results. Trading involves risk; use proper risk management. Backtest thoroughly. No guarantees of profitability. Consult a financial advisor.
#tradingview #smc #MTX #fvg #fibonacci #supportresistance
Support & Resistance Zone Hunter [BOSWaves]Support & Resistance Zone Hunter - Dynamic Structural Zones with Real-Time Breakout Intelligence
Overview
The Support & Resistance Zone Hunter is a professional-grade structural mapping framework designed to automatically detect high-probability support and resistance areas in real time. Unlike traditional static levels or manually drawn zones, this system leverages pivot detection, range thresholds, and optional volume validation to create dynamic zones that reflect the true structural architecture of the market.
Zones evolve as price interacts with their boundaries. The first touch of a zone determines its bias - bullish, bearish, or neutral - and the system tracks the full lifecycle of each zone from formation, testing, and bias establishment to potential breakout events. Diamond-shaped breakout signals highlight structurally significant price expansions while filtering noise using a configurable cooldown period.
By visualizing market structure in this way, traders gain a deeper understanding of price behavior, trend momentum, and areas where liquidity and reactive forces are concentrated.
Theoretical Foundation
The Support & Resistance Zone Hunter is built on the premise that meaningful structural zones arise from two core principles:
Pivot-Based Turning Points : Only significant highs and lows that represent actual swings in price are considered.
Contextual Validation : Zones must pass minimum range criteria and optional volume thresholds to ensure their relevance.
Markets naturally generate numerous micro-pivots that do not carry predictive significance. By filtering out minor swings and validating zones against volume and range, the system isolates levels that are more likely to attract future price interaction or act as catalysts for breakout moves.
This framework captures not only where price is likely to react but also the direction of potential pressure, providing a statistically grounded, visually intuitive representation of market structure.
How It Works
The Support & Resistance Zone Hunter constructs zones through a multi-layered process that blends pivot logic, range validation, and real-time bias determination:
1. Pivot Detection Core
The indicator identifies pivot highs and pivot lows using a configurable lookback period. Zones are only considered valid when both a top and bottom pivot are present.
2. Zone Qualification Engine
Prospective zones must satisfy two conditions:
Range Threshold : The distance between pivot high and low must exceed the minimum percentage set by the user.
Volume Requirement : If enabled, the current volume must exceed the 50-period moving average.
Only zones meeting these criteria are drawn, reducing noise and emphasizing high-probability structural levels.
3. Zone Lifecycle
Once a valid top and bottom pivot exist:
The zone is created starting from the pivot formation bar.
Zones remain active until both boundaries have been touched by price.
The first boundary touched establishes bias: resistance first → bullish bias ,support first → bearish bias, neither → neutral.
Inactive zones stop expanding but remain visible historically to maintain a clear structural context.
4. Visual Rendering
Active zones are displayed as filled boxes with color corresponding to their bias. Top, bottom, and midpoint lines are drawn for reference. Once a zone becomes inactive, its lines are removed while the filled box remains as a historical footprint.
5. Breakout Detection
Breakout signals occur when price closes above the top boundary or below the bottom boundary of an active zone. The system applies a cooldown period and requires price to return to the zone since the previous breakout to prevent signal spam. Bullish and bearish breakouts are visually represented by diamond-shaped markers with configurable colors.
Interpretation
The Support & Resistance Zone Hunter provides a structural view of market balance:
Bullish Zones : Form when resistance is tested first, indicating upward pressure and potential continuation.
Bearish Zones : Form when support is tested first, reflecting downward pressure and continuation risk.
Neutral Zones : Fresh zones that have not yet been interacted with, representing undiscovered liquidity.
Breakout Diamonds : Highlight significant structural price expansions, helping traders identify confirmed continuation moves while filtering noise.
Zones do not simply indicate past levels; they dynamically reflect the evolving battle between buyers and sellers, providing actionable context for both trend continuation and reversion strategies.
Strategy Integration
The Support & Resistance Zone Hunter is versatile and can be applied across multiple trading approaches:
Trend Continuation : Use bullish and bearish zones to confirm directional bias. Breakout diamonds indicate structural continuation opportunities.
Reversion Entries : Neutral zones often act as magnets in ranging markets, allowing for high-probability mean-reversion setups.
Breakout Trading : Diamonds mark true structural expansions, reducing false breakout risk and guiding stop placement or momentum entries.
Liquidity Zone Alignment : Combining the indicator with order block, breaker, or volume-based tools helps validate zones against broader market participation.
Technical Implementation Details
Pivot Engine : Two-sided pivot detection based on configurable lookback.
Zone Qualification : Minimum range requirement and optional volume filter.
Bias Logic : Determined by the first boundary touched.
Zone Lifecycle : Active until both boundaries are touched, historical visibility retained.
Breakout Signals : Diamond markers with cooldown filtering and price-return validation.
Visuals : Transparent filled zones with live top, bottom, and midpoint lines.
Suggested Optimal Parameters
Pivot Lookback : 10 - 30 for intraday, 20 - 50 for swing trading.
Minimum Range % : 0.5 - 2% for crypto or indices, 1 - 3% for metals or forex.
Volume Filter : Enable for assets with inconsistent liquidity; disable for consistently liquid markets.
Breakout Cooldown : 5 - 20 bars depending on volatility.
These suggested parameters should be used as a baseline; their effectiveness depends on the asset and timeframe, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets with clear pivot structure and reliable volume.
Trending symbols with consistent retests.
Assets where zones attract repeated price interaction.
Reduced Effectiveness:
Random walk markets lacking structural pivots.
Low-volatility periods with minimal price reaction.
Assets with irregular volume distribution or erratic price action.
Integration Guidelines
Use zone color as contextual bias rather than a standalone signal.
Combine with structural tools, order blocks, or volume-based indicators for confluence.
Validate zones on higher timeframes to refine lower timeframe entries.
Treat breakout diamonds as confirmation of continuation rather than independent triggers.
Disclaimer
The Support & Resistance Zone Hunter provides structural zone mapping and breakout analytics. It does not predict price movement or guarantee profitability. Success requires disciplined risk management, proper parameter calibration, and integration into a comprehensive trading strategy.
Volume Matrix Pro [ChartNation]Volume Matrix Pro is a comprehensive volume profile indicator that combines delta-colored volume distribution analysis with adaptive pivot detection and automated volume node identification. The indicator visualizes where institutional volume accumulated at specific price levels, providing traders with precise entry zones backed by actual trading data.
KEY FEATURES:
Delta-Colored Volume Profile: Displays volume distribution across price bins with automatic delta coloring - green bins show buyer dominance, red bins show seller control at each price level
High Volume Nodes (HVN) Detection: Automatically identifies and marks price levels with ≥80% of POC volume using yellow diamond markers - these act as magnetic support/resistance zones where institutions built positions
Low Volume Nodes (LVN) Detection: Marks thin volume areas with gray diamond markers - zones where price moves quickly with minimal friction, ideal for breakout targets
Adaptive Smart Pivots: ATR-based pivot detection that automatically adjusts length based on market volatility - catches more swings in low volatility, filters to major reversals in high volatility
Point of Control (POC) Line: Identifies the price level with maximum traded volume - the market's center of gravity. Line colors by delta: green when buyers dominated, red when sellers controlled the level
Value Area Lines: Dotted lines marking the 70% value area (configurable 50-98%) with delta-based coloring showing cumulative buyer/seller pressure within the range
Circle Pivot Markers: Clean visual markers at confirmed pivot points with translucent horizontal lines extending to current bar
Extend-Until-Touch: Pivot lines automatically retract when price touches them, keeping charts clean and showing active levels only
Dual Profile Modes: Left-side profile (default) or right-pinned bars ahead of price with fully customizable width and padding
Volume-Filtered Pivots: Only displays pivots with significant volume backing (≥20% of POC by default) - institutional turning points, not noise
HOW IT WORKS:
The indicator divides the lookback range (default 200 bars) into volume bins (default 50) and calculates total volume and delta (buying vs selling pressure) at each price level. Each bin is colored green if buyers dominated (close > open majority) or red if sellers controlled (close < open majority).
High Volume Nodes mark price levels where the most trading occurred - these become magnetic support/resistance zones. The Point of Control identifies the single price with maximum volume, acting as the market's gravitational center.
Smart Pivots use ATR to adapt to changing volatility, then filter against the volume profile. Only pivots with substantial volume backing are displayed, ensuring you see institutional turning points, not random noise.
RECOMMENDED SETTINGS:
Scalping (1-5 min): 100 lookback bars, 40 bins, 5-7 pivot length
Day Trading (15 min - 1 hour): 200 lookback bars, 50 bins, 10 pivot length (default)
Swing Trading (4 hour - Daily): 300-500 lookback bars, 60 bins, 15-20 pivot length
USAGE TIPS:
Enter long when price touches green HVN zones with adaptive pivot confirmation
Enter short when price reaches red HVN zones with pivot confirmation
Use POC as first target when entering below it, or as support backup when entering above
Watch for LVN zones as potential breakout acceleration areas
Combine green delta bins + HVN + pivot for highest-probability setups
WHAT MAKES THIS DIFFERENT:
Unlike traditional volume profiles, Volume Matrix Pro colors each bin individually by delta, giving granular insight into buyer/seller control at every price level. The adaptive pivot system adjusts automatically to volatility, while volume-filtering ensures only institutionally-backed turning points are displayed. High/Low Volume Node detection is fully automated with visual markers.
IMPORTANT NOTES:
This is a volume analysis tool - use with trend analysis and risk management
High Volume Nodes show where volume accumulated historically, not future support/resistance guarantees
Adaptive pivots adjust to volatility automatically but can still produce false signals in choppy markets
Best used as confirmation alongside price action, not as a standalone system
Profile recalculates on each bar to reflect current lookback range
Defended Price Levels (DPLs) — Melvin Dickover ConceptThis indicator identifies and draws horizontal “Defended Price Levels” (DPLs) exactly as originally described by Melvin E. Dickover in his trading methodology.
Dickover observed that when extreme relative volume and extreme “freedom of movement” (volume-to-price-movement ratio) occur on the same bar, especially on bars with large gaps or unusually large bodies, the closing price (or previous close) of that bar very often becomes a significant future support/resistance level that the market later “defends.”
This script automates the detection of those exact coincident spikes using two well-known public indicators:
Relative Volume (RVI)
• Original idea: Melvin Dickover
• Pine Script implementation used here: “Relative Volume Indicator (Freedom Of Movement)” by LazyBear
Link:
Freedom of Movement (FoM)
• Original idea and calculation: starbolt64
• Pine Script: “Freedom of Movement” by starbolt64
Link:
How this indicator works
Calculates the raw (possibly negative) LazyBear RVI and starbolt64’s exact FoM values
Normalizes and standardizes both over the user-defined lookback
Triggers only when both RVI and FoM exceed the chosen number of standard deviations on the same bar (true Dickover coincident-spike condition)
Applies Dickover’s original price-selection rules (uses current close on big gaps or 2× body expansion candles, otherwise previous close)
Draws a thin maroon horizontal ray only when the new level is sufficiently far from all previously drawn levels (default ≥0.8 %) and the maximum number of levels has not been reached
Keeps the chart clean by limiting the total number of significant defended levels shown
This is not a republish or minor variation of the two source scripts — it is a faithful automation of Melvin Dickover’s specific “defended price line” concept that he manually marked using the coincidence of these two indicators.
Full credit goes to:
Melvin E. Dickover — creator of the Defended Price Levels concept
LazyBear — author of the Relative Volume (RVI) implementation used here
starbolt64 — author of the Freedom of Movement indicator and calculation
Settings (all adjustable):
Standard Deviation Length (default 60)
Spike Threshold in standard deviations (default 2.0)
Minimum distance between levels in % (default 0.8 %)
Maximum significant levels to display (15–80)
Use these horizontal maroon lines as potential future support/resistance zones that the market has previously shown strong willingness to defend.
Thank you to Melvin, LazyBear, and starbolt64 for the original work that made this automation possible.
Crypto_Dan - Trend catcher - All projectsCrypto_dan_cro - Trend catcher indicator
This indicator will show you the Macro trend - ALL PROJECTS.
DOTS
Red dots - mean we are in Bearish part of the cycle where prices are expected to drop further
Yellow dots - mean we are in the area where either breakout or breakdown are possible
Green dots - mean we are in a Bullish part of the cycle, where prices are expected to raise
SMA LINE
Crossing below line, will make line red - bearmarket
Crossing above line, will make line green - bullmarket
Trading on the line, will make line yellow - direction still not decided
TOP & BOTTOM
Top - showing you tops
Bottom - showing you bottoms
BREAKOUTS & BREAKDOWNS
BO - BreakOut - showing you change in trend, and prices are expected to raise
BD - BreakDown - showing you change in trend, and prices are expected to drop.
SUPPORT & RESISTANCE
Red squares on the last candle - showing you 3 closest resistances (on every timeframe)
Green squares on the last candle - showing you 3 closest supports (on every timeframe)
Crypto markets are volatile, if you choose to use this indicator in trading, you are doing it on your own. Crypto_dan_cro is not responsible for any profits or losses created by using this Indicator.
Good luck ;)
If you want to get this indicator for free, follow me on
X handle: @crypto_dan_cro
Turn notifications on and engage with my posts
Crypto_dan_cro - Trend catcher - BTC OnlyCrypto_dan_cro - Trend catcher indicator
This indicator will show you the Macro trend BTC ONLY.
DOTS
Red dots - mean we are in Bearish part of the cycle where prices are expected to drop further
Yellow dots - mean we are in the area where either breakout or breakdown are possible
Green dots - mean we are in a Bullish part of the cycle, where prices are expected to raise
SMA LINE
Crossing below line, will make line red - bearmarket
Crossing above line, will make line green - bullmarket
Trading on the line, will make line yellow - direction still not decided
TOP & BOTTOM
Top - showing you tops
Bottom - showing you bottoms
BREAKOUTS & BREAKDOWNS
BO - BreakOut - showing you change in trend, and prices are expected to raise
BD - BreakDown - showing you change in trend, and prices are expected to drop.
SUPPORT & RESISTANCE
Red squares on the last candle - showing you 3 closest resistances (on every timeframe)
Green squares on the last candle - showing you 3 closest supports (on every timeframe)
Crypto markets are volatile, if you choose to use this indicator in trading, you are doing it on your own. Crypto_dan_cro is not responsible for any profits or losses created by using this Indicator.
Good luck ;)
If you want to get this indicator for free, follow me on
X handle: @crypto_dan_cro
Turn notifications on and engage with my posts
[ArchLabs] Support & Resitance Levels Support & Resistance Levels — SR-v1.100
Smart, auto-managed zones for clean market structure
⸻
🔍 What this indicator does
This script automatically finds and maintains high-quality support & resistance zones on your chart, so you don’t have to keep redrawing levels by hand.
It:
• Detects major swing highs and lows (pivots)
• Builds support and resistance zones (not just thin lines)
• Filters out overlapping / redundant levels
• Tracks how price interacts with those zones in real time
• Marks and alerts:
• ✅ Breakouts
• 🚨 False breakouts
• 🔁 Retests
• Flips broken support → resistance and resistance → support automatically
You get a clean structural map of the market, continuously updated.
⸻
🧠 How levels are built (conceptually)
1. The indicator looks back over a configurable window and finds significant highs and lows (pivots).
2. From each confirmed pivot, it creates:
• A core level price (horizontal line)
• A price area around it (shaded zone), sized relative to recent price range/volatility
3. It then checks for overlaps between existing levels and new candidates:
• If a new level is too close to an existing one (within your overlap threshold), it gets discarded.
• This keeps only the most meaningful, non-redundant levels on the chart.
4. A cap of around 10 levels per side (support / resistance) keeps the view readable.
The result: a curated set of zones that actually matter, not a wall of lines.
⸻
🎨 Visuals on the chart
You’ll see:
• Support zones
• Line: bullish color (default green)
• Area: semi-transparent band below/around the line
• Resistance zones
• Line: bearish color (default red)
• Area: semi-transparent band above/around the line
Colors are customizable for:
• Level line
• Zone area
• Breakout highlight
• Retest label
This makes it easy to visually separate support vs resistance and quickly spot key reactions.
⸻
⚡ Dynamic behavior & level lifecycle
Each level goes through a natural “life cycle,” which the indicator tracks for you:
1. Active zone
• The level is valid and extended to the right as long as price stays “engaged” with it (using smoothed highs/lows to avoid noise).
2. Extension / pause
• When price pulls away from the level far enough, the extension can temporarily stop so the level doesn’t stretch indefinitely without interaction.
• If price comes back into the zone with meaningful action, the level can resume extension.
3. Break & role reversal
• When price cleanly breaks the level (based on smoothed price, not just a wick), the zone is:
• Stopped and locked in place
• Marked as broken
• Immediately cloned and flipped:
• Broken support becomes a new resistance zone at the same area.
• Broken resistance becomes a new support zone.
This gives you automatic role-reversal levels without manually redrawing anything.
⸻
🧷 Event tags & alerts
The indicator tracks three key interactions with each zone:
1. Breakouts (optional)
When price decisively breaks a level:
• A small breakout label appears on/near the level:
• Support broken → bearish breakout style
• Resistance broken → bullish breakout style
• An alert message is fired (if alerts are enabled on the script)
Use this to catch true structural breaks that may signal trend continuation or regime change.
⸻
2. False breakouts (optional)
False breakouts are marked when price:
• Wicks through a level, but
• Fails to close beyond it and quickly returns inside the zone
When detected:
• A 🚨 FB label appears at the level
• The label tracks with price while the false breakout is active
• An alert can fire each time this behavior is confirmed
This is very useful for reversal traders and anyone fading failed breakouts.
⸻
3. Retests (optional)
Retests are detected when:
• Price re-enters a zone after previously moving away from it
• The candle comes back into the area for the first time in this new approach
The script:
• Marks the retest with a “T” label in a distinct color for support vs resistance
• Brings that level to the top of the internal priority list, keeping fresh retests visually and logically “hot”
Traders often use these as high-probability reaction points (e.g., breakout → retest → continuation).
⸻
⚙️ Key settings
All inputs are grouped for clarity:
Support / Resistance Levels
• Pivots Lookback
Controls how far back the indicator looks for swing highs/lows.
• Higher value → fewer, stronger levels
• Lower value → more reactive, more levels
• Overlap Multiplier (Pips)
Sets how aggressively overlapping levels are merged/ignored.
• Higher value → fewer levels, more consolidation
• Lower value → more granular levels
• Auto Overlap
When enabled, the script automatically adjusts the overlap threshold based on timeframe:
• Intraday lower timeframes → tighter filtering
• Higher/intra-session → more appropriate scaling
This lets you drop the indicator on multiple timeframes without constantly retuning.
⸻
Level Event Toggles
• Breakout Labels & Alerts (on/off)
• False Breakout Labels & Alerts (on/off)
• Retest Labels & Alerts (on/off)
Turn on only what fits your style.
Scalpers might want all three; swing traders may prefer only breakouts + retests.
⸻
Support / Resistance Colors
Separate color groups for:
• Line & area of support levels
• Line & area of resistance levels
• Visual styling for breakouts
• Visual styling for retests
You can match your existing chart theme or build a dedicated SR layout.
⸻
📈 How to use it in your trading
Here are a few practical ways to integrate this indicator:
• Context map
Use it as a structural overlay on any symbol/timeframe to see where price is likely to react.
• Breakout + retest setups
• Wait for a level to break with a breakout label.
• Then watch for a T (retest) label into the flipped zone.
• Combine with your own confirmation (price action, volume, oscillators, etc.).
• Mean-reversion & fade trades
• Hunt for false breakout (FB) labels on key levels.
• These are often good spots to fade aggressive moves that lose momentum.
• Confluence builder
• Combine zones with trend tools, VR/DC, moving averages, or higher timeframe structure.
• A breakout/retest at a level that also lines up with higher TF structure can be especially meaningful.
⸻
✅ Summary
Support & Resistance Levels (SR-v1.100) is designed to be:
• Clean – no cluttered spaghetti of lines
• Adaptive – zones evolve with the market and flip roles automatically
• Actionable – breakout, false breakout, and retest events are clearly marked and alert-ready
• Flexible – works on any market and timeframe with simple, intuitive inputs
Drop it on your chart, tune the lookback & overlap to your style, and let it handle the heavy lifting of structural mapping while you focus on decisions.
TrenVantage RETAIL - Smart Support and Resistance📘 TrenVantage RETAIL – Smart Support & Resistance
Hello Traders!
We are excited to introduce this new tool TrenVantage RETAIL! This indicator is a precision-built market structure tool designed to help traders easily identify actionable Support & Resistance zones, emerging trends, and proximity-based reaction areas. It combines pivot-based level detection, a dynamic ZigZag engine, and trend-awareness analytics into a clean, non-cluttered visual layout. The RETAIL edition offers simplified yet powerful logic that highlights only the most relevant 2–3 key levels, making it ideal for traders who prefer clarity over chart overload. Whether you are day-trading or swing-trading, TrenVantage RETAIL helps you understand price behavior, locate nearby reaction zones, and monitor directional bias in real time.
✨ Key Features
🔹 Smart Support & Resistance (Max 3 Levels – Retail Version)
- Auto-detected levels using precision body logic
- Keeps only the most relevant 2–3 zones
- Clean, minimal, and ideal for reaction-based trading
🔹 Clean Pivot Engine
- Uses timeframe-based pivots
- Body-focused calculations improve accuracy
- Fixed retail-friendly lookback ensures consistency
🔹 Trend Detection (ZigZag-Based)
- Real-time uptrend / downtrend state
- Swing-based structure mapping
- Adjustable deviation settings
🔹 Status Box Dashboard
- Trend direction + momentum bias
- Current price & price change
- SMA position and trend influence
- Nearest S/R with point distances
- Market position summary
- Level counts and proximity status
🔹 SMA Overlay
- Fully adjustable period
- Useful for extra confirmation
🔹 Real-Time Alerts
- Proximity alerts near S/R
- Trend change alerts (Uptrend / Downtrend)
- Clean once-per-bar confirmations
🔍 In-Depth Feature Breakdown
1. Smart Support & Resistance Levels
TrenVantage RETAIL uses a refined pivot-based engine combined with candle-body logic to detect only the most meaningful support and resistance zones. Instead of flooding your chart with lines, the algorithm intelligently maintains up to three major levels at any time.
How It Works
- Uses primary pivots from the current timeframe
- Prioritizes candle bodies over wicks for more reliable zones
- Removes outdated levels to keep the chart clean
- Highlights levels with color-coded clarity:
Green = Support
Red = Resistance
How It Helps Traders
- Keeps focus on the levels that matter
- Reduces noise and over-analysis paralysis
- Helps anticipate reactions, rejections, consolidations, and tests
- Works across all markets and timeframes
2. Streamlined Pivot Engine
While many indicators use fixed pivot logic, TrenVantage RETAIL uses a timeframe-aware pivot engine optimized for retail traders who prefer precision without complexity.
How It Works
- Pulls pivots from the trader’s active timeframe
- Uses body-to-body pivot recognition to improve accuracy
- Reduces over-plotting by filtering out weak pivots
How It Helps Traders
- Provides cleaner, more accurate structural points
- Enhances the reliability of support/resistance levels
- Adapts naturally whether you're scalping or swing trading
3. Dynamic Trend Detection (ZigZag Core)
TrenVantage RETAIL includes a clean and efficient ZigZag engine that tracks real structural swings, allowing traders to see trend direction with clarity rather than guessing.
How It Works
- Identifies higher highs, higher lows, lower highs, lower lows
- Uses deviation-based swing filtering
- Smoothly updates trend direction without excessive repainting
- Visually displays structure transitions
How It Helps Traders
- Quickly identifies early trend shifts
- Supports both breakout and pullback strategies
- Helps traders align positions with market structure
- Reduces false signals by focusing on meaningful swings
4. The Status Box Dashboard
The Status Box is your real-time information hub. It reads the current market environment and displays the most essential data in a compact, easy-to-follow format.
What It Shows
- Trend direction
- Price & price change
- SMA position (above/below)
- Nearest support & resistance
- Distance to each level
- Market position: above, below, or between levels
- Count of active S/R zones
- Proximity detection status
How It Helps Traders
- Gives instant situational awareness
- Reduces the need to constantly check chart details
- Helps traders avoid impulsive or uninformed decisions
- Makes multi-timeframe analysis quicker
5. SMA Overlay
The optional SMA is a lightweight trend filter. It adds another layer of clarity without overwhelming the chart.
How It Works
- Plots a standard, adjustable period SMA
- Works as a directional or momentum filter
- Integrates into the status box for quick comparison
How It Helps Traders
- Confirms trend direction
- Adds confluence when combined with levels
- Helps detect momentum shifts early
6. Proximity & Trend Alerts
TrenVantage RETAIL includes clean, actionable alerts that work in real time.
How It Works
- Alerts when price approaches support/resistance within your chosen distance
- Alerts on trend changes (Uptrend / Downtrend)
- Uses once-per-bar logic to avoid excessive notifications
How It Helps Traders
- Removes the need to stare at charts
- Supports breakout, reaction, and reversal strategies
- Ensures traders never miss major structure shifts
🚀 Getting Started (Quick Guide)
1) Add the Indicator to Your Chart
Works instantly on any timeframe or market
2) Adjust the Settings
Toggle S/R, SMA, Alerts, and the Status Box to match your style
3) Watch Key Levels
Red = Key Resistance Levels, Green = Key Support Levels
4) Monitor Status Box
Check Trends, Nearest Levels, SMA Position, and Market Context at a Glance
5) Set Alerts
Enable Trend-Change and Proximity alerts through TradingViews alert menus
📈 Best Practices for TrenVantage RETAIL
🔹Trend Confirmation:
Use the ZigZag trend state and SMA position to confirm whether the market is leaning bullish or bearish.
🔹Level Reactions:
Watch how price behaves as it approaches the nearest S/R line.
Proximity alerts notify you when price is within your chosen distance threshold.
🔹Market Positioning:
The dashboard helps you quickly assess whether price is above all levels, below all levels, or trading between them—useful for breakout and range traders.
🔹Confluence Building:
Combine S/R zones with SMA direction to identify areas of confluence where reactions are more likely.
🔹Chart Clarity Focus:
Since this is the RETAIL version, only the most meaningful three levels are shown at a time—ideal for traders who prefer a clean, structured view.
📌 Disclaimer
This indicator is a technical analysis tool provided for informational and educational purposes only. It does not constitute financial advice, trading advice, or investment recommendations. All trading involves risk, and past performance does not guarantee future results. Always perform your own analysis and use proper risk management. You are solely responsible for any decisions made based on this tool.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
Volume Scope Pro - Order Flow Volume Analysis V1.01Volume Scope Pro — Order Flow Volume Analysis
Overview
Volume Scope Pro is a multi-faceted volume analysis indicator that separates volume into buy (up) and sell (down) components to reveal hidden order flow dynamics. It aggregates lower timeframe volume data to estimate buying vs. selling pressure on each bar, calculates the volume delta (buy volume minus sell volume) per bar, and highlights where price action diverges or converges with volume flow. The indicator provides visual output in the form of an on-chart table and chart markers, helping traders identify potential distribution (selling into strength) and absorption (buying into weakness) events, as well as support/resistance zones derived from volume extremes.
Volume Settings
• Global Volume Period – An integer (default 100) defining the shared lookback window (in bars) for all volume-based calculations. This period is used for identifying volume extrema and computing cumulative volume statistics. A larger period considers more history for averages and sums, while a smaller period focuses on recent bars.
• Use Custom Lower Timeframe – A boolean (default true) that lets you override the automatic choice of lower timeframe for volume breakdown. If enabled, the indicator will use the specific lower timeframe you provide (see next setting) to fetch intrabar volume data. If disabled, the script chooses a lower timeframe based on the chart’s resolution (for example, 1-second for second charts, 1-minute for other intraday charts, 5-minute for daily charts, etc.).
• Lower Timeframe – A timeframe input (default 15S, i.e. 15-second intervals) specifying the lower interval to request for up/down volume calculation. This is the resolution at which the script breaks each chart bar’s volume into buying vs. selling volume. Fifteen seconds is the default as it provides a fine-grained intrabar look on most charts. This setting only takes effect if Use Custom Lower Timeframe is true; otherwise, it is ignored in favor of the automatic timeframe resolution.
Table Display Settings
• A dropdown option that adjusts the text size used in the on-chart data table (Tiny, Small, Normal, Large, Huge; default: Tiny). The default Tiny setting is selected because many traders use the indicator on mobile devices where screen space is limited. If you are using a larger display such as a laptop, desktop, or tablet, you may increase the font size to your preference for improved readability.
• Table Font Color – A color picker for the table text (default is a shade of blue, #0068e6). All text in the table will be rendered in this color. You can change it to improve contrast against your chart background or personal preference.
• Time Offset (hours) – An integer offset in hours (default 3) applied to the current time display in the table. This shifts the real-time clock readout from UTC by the specified number of hours in the table’s header. For example, setting 0 uses UTC, while a value of 3 (default) shows local time for UTC+3. Negative values are allowed for time zones behind UTC. This does not affect any calculations – it only adjusts the displayed clock for user convenience.
Trend Line & Pivot Settings
• Pivot Left and Pivot Right – Integers (default 5 each) controlling the sensitivity of pivot high/low detection. A pivot high is identified when the price high of a bar is greater than the highs of the Pivot Left bars to its left and Pivot Right bars to its right. Similarly, a pivot low is a bar whose low is lower than the lows of the surrounding bars on its left and right as defined by these values. Smaller values make the pivots more local and frequent, while larger values require more significant swings.
• Pivot Count – An integer (default 5) specifying the number of recent pivot points to track. The indicator will remember up to this many pivot highs and pivot lows each, and use them for drawing trend lines. When the count is exceeded, the oldest pivot points are dropped to focus on the most recent ones.
• Lookback Length – An integer (default 100) defining the number of bars over which trend lines are extended and within which pivot points are considered relevant. Essentially, this is the length of the window (in bars) in which the detected pivots and their connecting trend lines will be shown. Trend lines will start at the beginning of this lookback window and end at the latest bar, updating as new bars form.
• High Trend Line Color / Low Trend Line Color – Color inputs for the drawn trend lines connecting pivot highs and pivot lows, respectively (both default to orange #ff7b00). High trend lines typically slope downwards (connecting recent highs), and low trend lines slope upwards (connecting recent lows). You can change these colors to visually distinguish the two or to fit your chart theme.
• Trend Line Thickness – An integer (default 2) setting the stroke width of the pivot trend lines. Higher values make the lines thicker and more prominent.
• Trend Line Style – A string option (default dashed, options: solid, dashed, dotted) determining the line style for both high and low trend lines. For example, choosing “dotted” will draw the trend lines as a series of dots. This purely affects the appearance and has no impact on calculations.
Support/Resistance (S/R) Zone Settings
• SR Lookback Length – An integer (default 100) that defines how many completed bars are scanned for support/resistance zone detection based on volume extrema. The indicator examines this many bars behind the latest bar (the current bar is excluded to avoid repaint issues) to find extreme buying and selling volume points that form the zones. A larger value means a longer historical window for finding significant volume-based zones.
• Projection Bars – An integer (default 26, range 0–200) specifying how far into the future to extend the S/R zone lines. When set above 0, the horizontal lines marking the zones will project to the right of the latest bar by the given number of bars. This helps anticipate where the zones lie ahead of current price. A value of 0 confines the zone markings to past bars only.
• Resistance Zone Color / Support Zone Color – Color inputs for the drawn zones identified as resistance and support (defaults are red for resistance and teal for support). These colors apply to both the zone’s border lines and its background fill (with adjustable transparency, see below).
• Resistance Line Width / Support Line Width – Integers (default 2 each, range 1–5) setting the line thickness for the top and bottom boundaries of the resistance zone and support zone, respectively. For example, if Resistance Line Width is 3, the drawn lines at the top and bottom of the resistance zone will be thicker than the default.
• Resistance Fill Transparency / Support Fill Transparency – Integers in percentage (default 90 each, range 0–100) controlling the opacity of the colored shading that fills the zone area. 0% means fully opaque (solid color fill), and 100% means fully transparent (no fill color). The default of 90% is very transparent, just lightly coloring the zone area for subtlety. Adjust these to highlight the zones more prominently or to make them nearly invisible, depending on preference.
Overbought/Oversold (OB/OS) Voting Settings
• Enable OB/OS Voting – A boolean (default true) that turns on the overbought/oversold “voting” module. When enabled, the indicator evaluates standard technical indicators (RSI, Stochastic, CCI, etc.) to determine if the market is overbought (OB) or oversold (OS). Each indicator contributes an OB or OS “vote” based on its classic threshold (for example, RSI > 70 is an OB vote, RSI < 30 is OS). The module aggregates these votes to identify consensus extreme conditions.
• Enable Volume Confirmation Filter – A boolean (default true) that requires volume confirmation for OB/OS signals. If enabled, an overbought condition will only be confirmed if there is unusually high sell volume at the same time, and an oversold condition will only confirm with unusually high buy volume. In practice, this means even if indicators vote OB/OS, the script will only mark it as confirmed when volume is spiking in the opposite direction of price (signaling distribution for OB or absorption for OS). This filter helps ensure that OB/OS signals align with significant volume imbalance, indicating potential involvement of larger market participants.
• Enable Dynamic ATR Threshold – A boolean (default true) that adjusts the overbought/oversold trigger threshold dynamically based on volatility (ATR). When true, the voting threshold or confirmation conditions may be eased or tightened depending on recent volatility, as measured by the Average True Range. In higher volatility environments, this can prevent premature OB/OS signals by requiring more extreme indicator readings.
• Enable OB/OS Sync Window – A boolean (default true) that allows an OB or OS condition to remain valid for a short window of bars. If enabled, once an OB or OS state is triggered, it can persist for a user-defined number of bars (see Bars for Hit Sync Window) even if not all indicators remain in agreement every single bar. This helps to capture a cluster of OB/OS signals as one event rather than flickering on and off.
• Volume Average Period – An integer (default 3) specifying how many recent bars of volume to average when determining “unusually high” volume for confirmation. The script calculates the average buy volume and sell volume over this many bars; then the Volume Spike Ratio inputs (below) are applied to decide if current volume is significantly above average. For example, with a period of 3, the buy/sell volume of the last 3 bars are averaged to use as a baseline.
• Minimum Vote Count for OB/OS – An integer (default 3) setting the minimum number of indicators that must agree on overbought or oversold to consider it a valid signal. If fewer than this number signal OB (or OS) at the same time, the condition is ignored. A higher threshold makes the OB/OS signal rarer but more robust (requiring broader agreement among indicators).
• Bars for Hit Sync Window – An integer (default 1) controlling the size of the synchronization window (mentioned above) in bars. If an OB/OS condition is identified, it remains “active” for this many subsequent bars, allowing slightly delayed volume confirmation or indicator agreement to still count as part of the same event. For example, with a value of 2, if an OB signal occurs on one bar and the volume spike confirmation happens on the next bar, the module will treat it as a continuous event and still flag it.
• ATR Adjustment Factor – A float (default 14, step 1.0) used when Dynamic ATR Threshold is enabled. This factor influences how much ATR-based volatility adjustment is applied to the OB/OS vote threshold or confirmation criteria. A larger number might increase tolerance in volatile conditions. (Note: 14 here likely corresponds to an ATR period internally, not a direct multiplier of ATR value. It effectively adjusts sensitivity but does not need frequent change.)
• Overbought: Sell Volume Spike Ratio – A float (default 1.5) that sets the multiple of average sell volume required to confirm an Overbought condition. If the current sell volume is at least this factor times the recent average sell volume (over the Volume Average Period), and indicators are signaling OB, then an Overbought state is confirmed. For instance, the default 1.5 means sell volume must be 150% or more of its average to validate an OB signal. This ensures that an overbought label is only shown when there’s evidence of heavy selling (distribution) accompanying the price being overbought.
• Oversold: Buy Volume Spike Ratio – A float (default 2.0) setting the multiple of average buy volume required to confirm an Oversold condition. With the default 2.0, the current buy volume needs to be at least 200% of its recent average for an OS signal to confirm. This indicates strong buying interest (absorption) when price is in an oversold state. Typically, oversold conditions with significant buy volume could precede upward reversals.
• Source – A price source input (default close) for OB/OS calculations. This is the series value passed into the 20 indicator calculations (RSI, Stoch, etc.). By default it uses closing price, but advanced users can change it (for example, to an HLC3 or other composite) if desired. Generally, leaving it as close is standard.
Indicator Calculations and Logic
Volume Data Aggregation and Delta Calculation
At the core of Volume Scope Pro is the separation of total volume into up-volume (buying) and down-volume (selling) on each bar. This is achieved by requesting lower timeframe data using TradingView’s built-in requestUpAndDownVolume() function. Specifically, for each chart bar, the script gathers volume from a lower timeframe interval (e.g., 15-second bars) that fits within the higher timeframe bar. It sums the volume of all lower-TF sub-bars where price moved up (buy volume) vs. down (sell volume), providing an estimate of how much of the volume was transacted at the ask (buys) versus at the bid (sells). The resulting values are stored as upVolume and downVolume for the current bar, and the volume delta is computed as deltaVolume = upVolume – downVolume. By default, the script ensures upVolume and downVolume are treated as absolute magnitudes, while deltaVolume can be positive or negative indicating net buy or sell dominance.
If Use Custom Lower Timeframe is disabled, the indicator automatically chooses an appropriate lower timeframe based on the chart’s resolution. This adaptive logic uses 1-second intervals for charts in seconds, 1-minute for intraday minutes, 5-minute for daily charts, and 60-minute for anything higher, ensuring that up/down volume can be computed across various chart periods. If even finer resolution is needed or the user prefers a specific timeframe (e.g., 15S), enabling the custom option allows that override.
Coverage:
Because not all historical bars will have lower timeframe data available (especially if looking far back or on certain assets/timeframes), the script tracks how many bars actually received a valid up/down volume calculation. Each bar with non-na deltaVolume is counted toward a coverage total . This coverage count is displayed in the table (as “Coverage: X Bars”) to inform the user how many bars in the dataset had full volume breakdown data. It also serves a technical purpose: certain moving averages or calculations are “gated” to only output values when enough data points exist. For example, a 20-bar average of buy volume will not be shown until at least 20 bars with volume data are present; until then it returns NA to avoid misleading results. This gating mechanism is implemented via helper functions that check coverage before computing moving averages or sums. In practice, if you apply the indicator to a fresh chart or after changing the lower timeframe setting, you may see “NA” placeholders for some values until sufficient bars accumulate.
Volume Averages and Recent Change Indicators
For both buy and sell volume, the script computes short-term and medium-term averages to contextualize the current bar’s activity. Specifically, it calculates a 3-bar simple moving average and a 20-bar simple moving average of upVolume and downVolume (these lengths are fixed and chosen to represent a fast vs. slow window). These averages are shown in the table to compare against the current volume:
• The “Buy Current Amount” is the current bar’s buy volume, shown in an engineered format (e.g., 1.25K for 1,250) for readability. Directly below it (in the same cell via a newline) is “Avg : (3 | 20)”, which lists the 3-bar average buy volume and 20-bar average buy volume. Each average value is followed by an arrow marker:
an upward arrow 🔼 means the current buy volume is higher than that average, whereas a downward arrow 🔻 means the current buy volume is lower than that average. These markers give a quick visual cue – for instance, a 🔼 next to the (3) average indicates a volume spike in the very short term (current bar’s buy volume exceeds the recent 3-bar norm). If not enough data exists to compute an average, “NA” is displayed with the window in parentheses (e.g., “NA (20)” if fewer than 20 bars of coverage). The same format is used for Sell volume, where “Sell Current Amount” is the current bar’s sell volume with its own 3-bar and 20-bar averages and markers.
In addition to the short/medium term averages, the script also computes a “global” average buy volume and sell volume over the full Global Volume Period (using a slightly different approach). It first finds the proportion of buy vs sell over that window (summing all upVolume and downVolume over L = Global Volume Period bars) and then multiplies that ratio by the average total volume on the chart timeframe. This yields an implied average buy volume and sell volume for the global window (taking into account that the chart’s own volume may differ from summed LTF volume due to how the LTF data is sampled). These global averages are used internally (for example, in the OB/OS volume filter logic) but are not explicitly printed in the table. Instead, the table provides a more direct insight: the Positive Δ Sum and Negative Δ Sum (explained later) show accumulated buying vs selling pressure over the lookback period.
Price and Volume Trend Convergence/Divergence
Volume Scope Pro analyzes the short-term and medium-term trends of price and volume to identify convergence or divergence between price movement and buy/sell activity. This is done by calculating the angle of linear regression (slope in degrees) for price and for volume over the same two windows (3 bars and 20 bars). In essence, it fits a line through the last 3 closes and measures its angle, and similarly fits lines through the last 3 buy-volume values, last 3 sell-volume values, and repeats for 20 bars. The angles for price vs. volume are then compared:
• For the buy side, the indicator computes the price angle (θ) over 3 bars and 20 bars, and the buy-volume angle over 3 and 20 bars. These are displayed in the table under a “Buy Volume Trend” row. For example, it might show: “Price θ: 12.5° (3) | 5.0° (20)” on one line and “BuyVol θ: 8.0° (3) | 2.0° (20)” on the next. Each angle is given in degrees (θ symbol) with one decimal precision. A positive angle means an uptrend (price or volume increasing), and a negative angle means a downtrend over that window.
• After listing the angles, a convergence/divergence label is shown for each window: either Convergent or Divergent for the 3-bar window and similarly for the 20-bar window. This indicates whether price and buy volume are moving in the same direction (convergent) or opposite directions (divergent). For instance, if price’s 3-bar trend is up (positive slope) but buy-volume’s 3-bar trend is down (negative slope), that would be Divergent (3), signaling a short-term anomaly (price rising on falling buy volume). Conversely, if both price and buy volume are rising together over 20 bars, that shows Convergent (20), indicating buy volume is supporting the uptrend. These convergence/divergence labels help identify potential early warning signs: divergence may precede a reversal or indicate that an observed price move lacks volume support.
The same analysis is done for the sell side. The table’s “Sell Volume Trend” row lists “Price θ: ... | ...” and “SellVol θ: ... | ...” for 3 and 20 bars , followed by labels showing whether price vs. sell volume trends are convergent or divergent over those periods. For example, if price is trending down (negative angle) while sell volume is also trending down, they are Convergent (both indicating selling pressure in line with price drop). If price is falling but sell volume trend is up, that’s Divergent – price decrease accompanied by increasing sell volume could indicate aggressive selling (potential capitulation or acceleration of downtrend). On the other hand, price falling with decreasing sell volume might suggest selling is drying up (potential for a bottom). These nuances can be gleaned from the convergence/divergence outputs.
All angle calculations use a normalized linear regression slope converted to degrees for easy interpretation. The use of a short (3) and longer (20) window provides a quick glance at immediate vs. recent trend alignment. In the table, the angles and convergence labels are organized in two lines for buy and two lines for sell to clearly separate the information.
Volume Delta and Cumulative Delta Sums
The Volume Delta (Δ) for the current bar is a key metric showing the net difference between buy and sell volume. In the table, it appears as a single-line entry like “Delta: 5.2K” (for example) in the volume delta row. The value is formatted with K/M/B suffix if large, and it is colored green if positive (indicating net buying pressure) or red if negative (net selling pressure), with a neutral color if essentially zero. This coloring provides instant visual feedback: a green Delta means buyers dominated that bar, whereas a red Delta means sellers dominated. The delta number itself helps gauge the magnitude of that dominance. For instance, “Delta: 1.5M” in green would signify a very large imbalance of buying volume on that bar. This row gives a per-bar order flow insight complementing the price action of the candle.
To assess the broader context, the indicator also computes cumulative delta sums over the Global Volume Period. It separately accumulates all positive delta values and all negative delta values within the lookback window (e.g., 100 bars). The results are shown in the table as two lines: Positive Δ Sum and Negative Δ Sum, each followed by a number. These represent the total volume imbalance accumulated in each direction over the window. For example, a Positive Δ Sum of 20K means that, summing all bars in the window where buy > sell volume, buyers were ahead by a total of 20,000 volume (volume units) in that period. Similarly, a Negative Δ Sum of 15K would mean sellers were ahead by 15,000 volume in other bars. These sums give a sense of who is in control over the recent horizon: if Positive Δ Sum greatly exceeds Negative Δ Sum, the market has seen net accumulation (buying) in the lookback; if the reverse, net distribution (selling). The values are shown in a neutral text color (since they are not inherently “good” or “bad”) and are formatted with K/M suffixes as needed. They can help confirm trends or identify subtle shifts – for instance, if price is flat but Positive Δ Sum is growing rapidly, it might indicate stealth accumulation even without price movement.
Support/Resistance Zone Detection from Volume Extremes
Volume Scope Pro identifies key support and resistance areas by analyzing how volume behaved in recent price movements. Zones are derived from points where buying or selling activity became unusually strong or unusually weak—areas that often act as reaction levels in future price action.
A high-activity region is highlighted as a Resistance Zone, showing where strong participation previously slowed upward movement.
A low-activity region forms a Support Zone, indicating price levels where the market tended to stabilize or absorb pressure.
These zones are displayed as horizontal regions projected forward on the chart, with customizable colors and styling. Their upper and lower boundaries are shown in the on-chart table, where the indicator also notes whether each zone currently acts as support or resistance based on price position.
🟥 Resistance Zone based on
Buy/Sell Amount: 1.2345 ~ 1.2500
This indicates a resistance zone between roughly 1.2345 and 1.2500 (the bottom and top of that zone). “Buy/Sell Amount” here refers to the fact that this zone was computed from extreme buy/sell volume events, and the values are the zone’s price range. Likewise, a support zone line would be prefixed with 🟩 and show its range. These zones give a unique volume-based perspective on support and resistance, complementing traditional price-based levels.
Pivot-Based Trend Lines
The indicator draws adaptive trendlines by tracking recent swing highs and swing lows. Whenever the market forms meaningful pivots, the tool connects these points to outline the active upward and downward trend structure. A line drawn through recent highs generally acts as a dynamic resistance guide, while a line drawn through lows often behaves as a rising support boundary.
As market structure evolves, the trendlines update automatically, keeping the analysis aligned with the most recent swings. The color, thickness, and style of these lines are fully customizable. At any moment, you may see one line tracking the upper structure and one line tracking the lower structure, helping identify potential breakout areas or trend-channel behavior without manual drawing.
Overbought/Oversold Voting and Volume Signals
Volume Scope Pro includes an Overbought/Oversold engine that evaluates market exhaustion by combining technical momentum signals with real volume behavior. Instead of relying on a single indicator, the system draws from a broad set of classical oscillators, creating a multi-layer confirmation approach.
The tool aggregates signals from a group of well-known indicators and identifies when several of them simultaneously reach extreme levels. When enough of these indicators align, the condition is considered overbought or oversold. To refine these readings, an optional volume filter checks whether buying or selling pressure is unusually strong at the same time.
• Overbought (OB) is highlighted only when technical exhaustion coincides with elevated sell volume.
• Oversold (OS) appears when oversold readings align with strong buy volume.
When confirmed, the indicator places clear visual markers on the chart:
• OB – potential topping conditions supported by heavy selling.
• OS – potential bottoming conditions supported by strong buying.
• Distribution (↑P ↑S) – price rising while selling pressure increases.
• Absorption (↓P ↑B) – price falling while buyers absorb the move.
• Combined signals (OB+DIST or OS+ABS) highlight the strongest forms of exhaustion.
These markings help traders quickly recognize areas where momentum is fading and volume behavior becomes important. While they do not predict exact turning points, they often appear during phases where the market prepares for a shift, consolidation, or slowing trend.
Usage Notes and Interpretation
Volume Scope Pro provides a detailed view into the internal dynamics of market volume, which can greatly aid analysis when used appropriately. Here are some important considerations and best practices:
• Data Availability (Coverage): The accuracy and utility of this indicator depend on the availability of lower timeframe data for the instrument. On very high timeframe charts (weekly/monthly) or illiquid symbols, the automatic lower timeframe (like 1 minute or 5 minutes) might not retrieve full historical intrabar data, resulting in limited coverage. This is indicated in the “Coverage: X Bars” readout. If coverage is low, many of the volume-based values (especially 20-bar averages or global sums) may show “NA” or be unrepresentative until more data accumulates. It’s often best to use this indicator on active symbols and reasonable timeframes (e.g., 1h, 4h, 1D with a few months of data or lower) to ensure plenty of sub-bar data is available. If needed, you can reduce the Global Volume Period to focus on a smaller window that has full coverage, or experiment with a different Lower Timeframe that might have more data available (for example, using 1min instead of 15s on very long histories).
• Interpreting Volume Delta and Trends: A key value to watch is the Delta (Δ) and how it changes. For instance, if price is making new highs but Δ is decreasing or negative, it indicates bearish divergence – fewer buyers are supporting the move, or sellers might be increasingly active (distribution). Conversely, price making new lows while Δ becomes less negative or turns positive is a bullish divergence, implying sellers are exhausting and buyers are stepping in (absorption). The convergence/divergence rows quantitatively highlight these situations. Use them as alerts to investigate further rather than automatic trade signals. For example, a divergent 20-bar trend (price up, buy volume down) doesn’t mean price will immediately reverse, but it does warrant caution as the rally may be on weak footing.
• Support/Resistance Zones: The volume-derived S/R zones offer levels that might not be obvious from price alone. They often pinpoint areas where the tug-of-war between buyers and sellers was most extreme (resistance zone) or where the market had a lull in volume (support zone). Treat these zones as you would conventional support/resistance: price may react when revisiting them. A common use is to watch how price behaves upon approaching a highlighted zone – for instance, if price rallies into a red resistance zone and you see volume delta start to flip negative, it could strengthen the case that the zone is indeed acting as resistance due to renewed selling. The zones update once a new volume extreme enters or exits the lookback window, so they are relatively static during most recent price action, shifting only when a significantly larger volume spike happens or the oldest bar in the window moves out. They are also non-repainting for completed bars (the algorithm excludes the current bar for zone calculation to avoid repaint issues). Keep in mind these zones are horizontal areas; they do not guarantee a reversal, but they mark where supply or demand was notably strong in the past, which is useful context.
• Trend Lines and Pivots: The automatic trend lines drawn from pivot highs and lows can help visualize short-term price channels or triangles. They update in real-time as new pivots form. Use them as guidance for potential breakout or breakdown levels – e.g., if price breaks above a descending high line, that could indicate a bullish breakout from the recent down trend. The pivot detection sensitivity (Pivot Left/Right) can be tuned: higher values will only draw lines across more significant swings, whereas lower values will catch minor swings too. Adjust according to the volatility of the asset (more volatile assets might need larger pivot settings to filter noise). The trend lines are an auxiliary feature in this volume tool, meant to save time drawing those lines manually for recent swings. They work best when recent pivots are clear; in choppy conditions with many equal highs/lows, you might see the lines adjust frequently.
• OB/OS Voting Signals: The overbought/oversold markers (OB, OS, distribution, absorption) are perhaps the most actionable signals from this script, but they should not be used in isolation. They effectively combine momentum and volume analysis. A prudent approach is to confirm these signals with price action or other analysis:
• An “OB” (Overbought) marker suggests a probable short opportunity or at least to be cautious with longs. When you see OB, check if it aligns with other factors: Is price at a known resistance or a volume zone? Is there a bearish candlestick pattern? Multiple OB signals in a cluster (with or without “DIST”) could indicate a topping process – you might wait for price to start rolling over before acting.
• An “OS” (Oversold) marker points to a potential long opportunity or caution with shorts. Look for confluence such as the price being at a support zone, a bullish divergence in delta, or a reversal candle. Sometimes one OS by itself might just lead to a small bounce in an ongoing downtrend, but a series of OS/ABS signals could mark a accumulation phase.
• Distribution (↑P↑S) and Absorption (↓P↑B) markers can appear even without full OB/OS votes. These warn of stealthy behavior: e.g., Distribution triangles showing up during a steady uptrend might precede larger profit-taking drops. Absorption triangles in a downtrend might precede a relief rally. They are early warnings – pay attention if they start to cluster or coincide with known S/R levels.
• The combined labels OB+DIST and OS+ABS are stronger alerts since they mean both the indicators and volume are screaming extreme. These are relatively rarer; when they appear, the likelihood of at least a short-term reversal is higher. Still, disciplined risk management is essential as markets can remain overbought/oversold longer than expected.
• No Guarantees & Context: It’s important to emphasize that none of these outputs guarantee a price will move in a certain direction. They highlight conditions that historically often precede moves. Volume Scope Pro should be used as an informational tool to augment your analysis. For example, you might use it to confirm a breakout (volume delta turning strongly positive on a price break) or to spot divergence (price making a new high but Δ Sum not increasing). Always consider the broader context: trend direction, higher timeframe signals, fundamental news, etc. A bullish signal in a strong downtrend may only yield a minor correction, and a bearish signal in a roaring uptrend might just be a pause.
• Avoiding Over-Optimization: The indicator comes with many inputs. It might be tempting to tweak them frequently, but it’s recommended to start with defaults and adjust only if you understand the effect. For instance, if you increase Minimum Vote Count for OB/OS, you’ll get fewer but more conservative signals – you might miss early warnings. Changing Volume Spike Ratios alters how sensitive the volume filter is – lower ratios give more signals (even on modest volume rises) but risk false alarms. Use these settings to tailor the indicator to the asset or timeframe (e.g., a very high-volume asset might justify a higher spike ratio). The defaults have been chosen to suit a wide range of scenarios reasonably well.
• Performance and Chart Load: Volume Scope Pro does heavy processing by requesting a lower timeframe and calculating many values. On some platforms, loading this indicator might be slightly slower or consume more memory. It’s invite-only and not open-source, which means the calculations happen behind the scenes. If you experience any slowness, you can try using a less granular lower timeframe (e.g., 1min instead of 15s) or reduce the Global Volume Period to lighten the load. Generally it runs efficiently, but be mindful if stacking it with many other complex indicators.
In summary, Volume Scope Pro provides a set of volume-centric insights: from basic buy/sell volume split and delta, to trend alignment, to volume-profile S/R levels, to multi-indicator OB/OS warnings with volume validation. It adheres strictly to providing factual, data-driven information with no predictive guarantees. Traders can utilize this tool to observe where large buyers or sellers might be operating (“smart money”), detect when volume behavior contradicts price (a sign of potential reversals), and identify hidden support and resistance zones. All these pieces of information, when combined with sound strategy and risk management, can improve decision-making. Always remember to use this indicator as one part of a comprehensive analysis.
[AutoZone_mrkim]Title:
AutoZone_mrkim — Multi-Timeframe Order Block Auto Zone
Description:
This indicator automatically identifies and draws Order Block zones for every timeframe.
It helps traders visualize potential supply and demand areas more clearly and react faster to market structure changes.
Main Features:
Automatically detects bullish and bearish Order Block zones
Multi-timeframe zone generation (supports all chart timeframes)
Auto-color change when a zone is broken
Clean visualization for trend continuation and reversal setups
Useful for scalpers, intraday traders, and swing traders
Adjustable display options for zone size and transparency
How to Use:
Use the newest zone for short-term intraday signals
Confirm zone strength using structure breaks
Combine with trend analysis for higher accuracy
Disclaimer:
This indicator is a tool to assist decision making, not a guaranteed trading system.
Use responsibly.
Easy [CHE] Easy — Minimalist Pine Script for detecting EMA direction changes to define fixed price zones for simple support and resistance visualization, ideal for manual trading workflows.
Summary
This indicator's programming is kept minimalist and super simple, with core logic in under 20 lines for easy comprehension and modification. It creates fixed price zones based on divergences between a base exponential moving average and its smoother counterpart, helping traders spot potential consolidation or reversal areas without dynamic adjustments. By locking the zone at the high and low of the signal bar, it avoids over-expansion in volatile conditions, offering a stable reference line colored by price position relative to the zone. This approach differs from expanding channels by prioritizing simplicity and persistence until a new qualifying signal, reducing visual clutter while highlighting directional bias through midpoint coloring.
Motivation: Why this design?
Traders often face noisy signals from moving averages that flip frequently in sideways markets or lag during breakouts, leading to premature entries or missed opportunities. This indicator addresses that by focusing on confirmed direction shifts between the base and smoothed averages, then anchoring a non-expanding zone to capture the initial price range of the shift. The result is a cleaner tool for marking equilibrium levels, assuming price respects these bounds in ranging or mildly trending conditions.
What’s different vs. standard approaches?
- Reference baseline: Traditional moving average crossovers or simple channels that update every bar.
- Architecture differences:
- Zones are set only on new divergence signals and remain fixed until reset by a gap from the prior zone.
- No ongoing high-low expansion; relies on persistent variables to hold bounds across bars.
- Midpoint plotting with conditional coloring based on close position, plus a highlight for zone initiations.
- Practical effect: Charts show persistent horizontal references instead of drifting lines, making it easier to gauge if price is rejecting or embracing the zone—useful for avoiding false breaks in low-volatility setups.
How it works (technical)
The indicator first computes a base exponential moving average of closing prices over a user-defined length, then applies a second exponential moving average to smooth that base. It checks if both the base and smoothed values are increasing or decreasing compared to their prior values, indicating aligned direction. A signal triggers when this alignment breaks, marking a potential shift.
On a new signal, if the current bar's high and low fall outside any existing zone (or none exists), the zone bounds update to those extremes and persist via dedicated variables. The midpoint of these bounds becomes the primary plot line, colored green if below the close (bullish lean), red if above (bearish lean), or gray otherwise. A secondary thick line highlights the midpoint briefly when a zone first sets, aiding visual confirmation. No higher timeframe data or external fetches are used, so updates occur on each bar close without lookahead.
Parameter Guide
EMA Length — Sets the period for the base moving average; longer values smooth more, reducing signal frequency but increasing lag. Default: 50. Trade-offs/Tips: Shorter for faster response in intraday charts (risks noise); longer for daily trends (may miss early shifts).
Smoother Length — Defines the period for the secondary smoothing on the base average; higher values dampen minor wiggles for stabler direction checks. Default: 3. Trade-offs/Tips: Keep low (2–5) for sensitivity; increase to 7+ if zones trigger too often in choppy markets, at cost of delayed signals.
Reading & Interpretation
The main circle plot at the zone midpoint serves as a dynamic equilibrium line: green suggests price is above the zone (potential strength), red indicates below (potential weakness), and gray shows containment within bounds (neutral consolidation). A sudden thick foreground line at the midpoint flags a fresh zone start, prompting review of the prior bar's context. Absence of a plot means no active zone, implying reliance on price action alone until the next signal.
Practical Workflows & Combinations
- Trend following: Enter long on green midpoint after a higher low touches the zone lower bound, confirmed by structure like higher highs; filter shorts similarly on red with lower highs.
- Exits/Stops: Use the opposite zone bound as a conservative stop (e.g., below lower for longs); trail aggressively to midpoint on strong moves, tightening near gray neutrality.
- Multi-asset/Multi-TF: Defaults work across forex and stocks on 1H–Daily; for crypto volatility, shorten EMA Length to 20–30. Pair with volume oscillators for confirmation, avoiding isolated use.
Behavior, Constraints & Performance
- Repaint/confirmation: Plots update on bar close using historical closes, so confirmed signals hold; live bars may shift until close but without future references.
- security()/HTF: Not used, eliminating related repaint risks.
- Resources: Minimal overhead—no loops, arrays, or bar limits exceeded; suitable for real-time on any timeframe.
- Known limits: Fixed zones may lag in strong trends (price drifts away without reset); signals skip if no gap from prior zone, potentially missing clustered shifts. Assumes standard OHLC data; untested on non-equity assets.
Sensible Defaults & Quick Tuning
Start with EMA Length at 50 and Smoother Length at 3 for balanced daily charts. If signals fire too frequently (e.g., in ranges), extend EMA Length to 100 for fewer but stabler zones. For sluggish response in trends, drop Smoother Length to 2 and EMA Length to 30, monitoring for added noise. In high-vol setups, widen both to 75/5 to filter extremes, trading speed for reliability.
What this indicator is—and isn’t
This is a lightweight visualization layer for EMA-driven zones, aiding manual chart reading and basic signal spotting. It is not a standalone system, predictive model, or automated alert generator—integrate with broader analysis like market structure and risk rules. (Unknown/Optional: No built-in alerts or multi-timeframe scaling.)
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Screener (ILPAC) [AlgoAlpha]🟠 OVERVIEW
This script is a powerful multi-symbol scanner designed to work as a companion to the "Institutional Liquidity & PA Concepts" (ILPAC) indicator. It allows you to monitor the key price action and liquidity signals from the ILPAC suite across a watchlist of up to 18 assets, all from a single dashboard. The primary goal of this tool is to provide a high-level market overview, enabling you to efficiently spot assets that are showing strong structural trends, interacting with key liquidity zones, or exhibiting signs of FOMO-driven volatility.
Instead of switching between dozens of charts, you can use this screener to quickly filter for assets that meet your specific trading criteria based on the advanced concepts of market structure, liquidity analysis, trend lines, and market sentiment.
🟠 CONCEPTS
The screener is built upon the core analytical engine of the "Institutional Liquidity & PA Concepts" indicator. It applies the proprietary algorithms of the ILPAC indicator to each symbol in your watchlist and presents the results in an easy-to-digest table. The concepts are combined to create a holistic view of the market.
Each column in the table is a window into a specific trading concept:
Market Structure: This is the foundation of price action analysis. The screener identifies the current market trend (bullish or bearish) by tracking swing highs and lows. It also flags critical events like a Break of Structure (BOS), which signals trend continuation, and a Change of Character (CHoCH), which suggests a potential trend reversal.
Liquidity Analysis: The screener analyzes order flow to determine where significant liquidity is resting. The "Liquidity Bias" column shows the net direction of this pressure, while the "Liquidity Event" column alerts you when price interacts with these key zones, either by forming a new one or mitigating an old one.
Trend Lines: This concept automates the classic technical analysis technique of drawing trend lines. The screener identifies significant swing points to form trend lines and then monitors them, alerting you to potential trend continuations or breakouts.
FOMO Bubbles: This concept measures crowd psychology by identifying sudden spikes in volume and price movement that are characteristic of "Fear of Missing Out." These signals can help identify potential trend exhaustion points or the start of a speculative rally.
By presenting these distinct but interconnected concepts together, the screener provides a multi-faceted view that allows traders to build a strong, confluence-based trading thesis.
🟠 FEATURES
This screener organizes a vast amount of data into a simple, color-coded table. Here is a breakdown of each column and the values you can expect to see:
Asset: Displays the ticker symbol for the asset being analyzed.
Market Structure: Shows the dominant trend based on swing highs and lows.
Bull: The asset is in a structural uptrend (making higher highs and higher lows).
Bear: The asset is in a structural downtrend (making lower highs and lower lows).
Detecting: The trend is neutral or a clear structure has not yet been established.
Structure Event: Flags the most recent significant market structure event.
Bull CHoCH: A bullish Change of Character, signaling a potential shift from a downtrend to an uptrend.
Bear CHoCH: A bearish Change of Character, signaling a potential shift from an uptrend to a downtrend.
Bull BOS: A bullish Break of Structure, confirming the continuation of an uptrend.
Bear BOS: A bearish Break of Structure, confirming the continuation of a downtrend.
–: No significant event has occurred recently.
Latest Swing Label: Identifies the most recently confirmed swing point.
HH: Higher High.
HL: Higher Low.
LH: Lower High.
LL: Lower Low.
–: No new swing point has been confirmed.
Liquidity Bias: Measures the net direction of liquidity and its relative strength.
▲ : A bullish liquidity bias, where the number indicates the strength.
▼ : A bearish liquidity bias, where the number indicates the strength.
Balanced: Liquidity is relatively balanced between buyers and sellers.
Liquidity Event: Indicates recent interactions with key liquidity zones.
New▲: A new bullish liquidity zone has just formed.
New▼: A new bearish liquidity zone has just formed.
Mit▲: Price has just tested (mitigated) a key bullish liquidity zone.
Mit▼: Price has just tested (mitigated) a key bearish liquidity zone.
–: No recent interaction.
Trend Line: Displays the status of automatically drawn trend lines.
Break▲: Price has broken above a key bearish trend line.
Break▼: Price has broken below a key bullish trend line.
Bull TL: Price is respecting an active bullish trend line.
Bear TL: Price is respecting an active bearish trend line.
–: No significant trend line is currently active.
FOMO: Detects sentiment-driven price moves of varying intensity.
Big▲/Med▲/Small▲: A bullish FOMO bubble has been detected (large, medium, or small).
Big▼/Med▼/Small▼: A bearish FOMO bubble has been detected (large, medium, or small).
–: No FOMO activity detected.
🟠 USAGE
The primary way to use this screener is to quickly scan your watchlist for assets that exhibit a confluence of bullish or bearish signals, which can significantly improve the probability of a trade.
1. Setup and Configuration:
Add the screener to your chart.
Open the settings and populate the "Watchlist" section with the symbols you want to track.
Fine-tune the input settings for each component (Market Structure, Liquidity, etc.) to match your preferred trading style. These settings will apply to all symbols in the table.
2. Interpreting the Columns for Trading Decisions:
Market Structure Columns: Use the first three structure columns to define your trading bias. For a high-probability long setup, you would look for an asset with a "Bull" structure, a recent "Bull BOS" event, and a "HL" as the latest swing point. This confirms the uptrend is healthy and ongoing.
Liquidity Columns: These are crucial for identifying key price levels. A strong "Liquidity Bias" can confirm your directional bias. A "Mit▲" (mitigation) event at a support level can be a powerful entry trigger, as it shows that institutional buy orders are defending that zone.
Trend Line Column: This is ideal for breakout traders. A "Break▲" signal can serve as an excellent entry confirmation, especially if the overall "Market Structure" is already "Bull".
FOMO Column: This column is best used for identifying potential exhaustion points. For instance, if you are in a long trade and a "Big▲" FOMO signal appears after a strong rally, it could be a sign that the move is overextended and it's a good time to consider taking profits.
有料スクリプト
1st 4H Candle [ApexFX]Overview
This indicator identifies the very first 4-hour candle of the trading day and plots its high and low as horizontal lines. These levels are designed to act as key support and resistance for the rest of the 24-hour session.
The lines are calculated using 4-hour data but display on any timeframe, allowing you to see these key daily levels while trading on lower timeframes like the 15-minute or 5-minute chart. The lines extend for the first six 4-hour candles (24 hours) before stopping.
Features
Flexible Timezone: A simple dropdown menu to select your local timezone (e.g., "America/New_York", "Europe/London", "UTC") to ensure the candle is always correctly identified.
Asset Presets: Instantly set the correct start time for major asset classes:
Forex (23:00)
Indices (00:00)
Crypto (21:00)
Fully Custom: A "Custom" option lets you define any hour and minute for the start of your session, giving you full control for other assets like Gold or Oil.
Custom Colors: Change the color of the high and low lines from the settings menu.
How to Use
Add the indicator to your chart.
Open the indicator's "Settings".
In the "Your Timezone" dropdown, select the same timezone you use for your chart (e.g., "America/New_York").
In the "Asset Type Preset" dropdown, choose the asset you are trading (e.g., "Indices").
The indicator will wait for the first 4-hour candle (e.g., the 00:00 candle for Indices) to close, and then it will automatically draw the high and low lines.
Higher Timeframe Candle LevelsThis is an indicator that shows higher time frame candle levels from various preset timeframes. These higher time frame candles act as support and resistance levels, so look for reversals and continuations off of these levels. When price exceeds the high or low of these levels, you should look for breakouts in the same direction and trade with the trend.
It includes candle levels for the following timeframes: 1 hour, 4 hour, 1 day, 1 week, 1 month, 1 quarter and 1 year. The indicator also includes a trend candle coloring feature, trend strength scoring table, stop loss feature, line identification labels, alerts for trend changes, alerts for level touches and full customization of all options.
How To Trade With This Indicator
These higher timeframe candle levels will act as support and resistance levels, so look for price to react at any of the levels you have turned on and then look for potential bounce or reversal signs at those levels so you can trade those direction changes. Price outside of the higher timeframe candle highs and low typically signals a breakout as well, so look for price to continue after passing the highs or lows.
You can use the direction of the higher timeframe candles as your trend as well. Try to only trade in the direction of the trend of the higher timeframes to increase the likelihood of your trade going in your favor.
The highs and lows of daily and up levels are excellent levels to find quick reversal off of. Watch for price action to struggle to break through these levels and then trade the reversal. If price breaks through these levels easily, watch for price to retest the level and then continue beyond that level. Trade the retest in the direction of the trend.
The open, close and midline levels are excellent for trading bounces. Watch for price to form wicks beyond these levels and close on the other side and use that as a sign that price may bounce there. Use that with price action to confirm your trade and then take trades off of those level bounces.
Use the alerts for daily and up timeframe level touches across all of your favorite markets so that way you are always notified in real time when price is at a level that could provide a potential trading opportunity.
Higher Time Frame Candle Levels
The indicator shows the current candle open, previous open, previous high, previous low, previous close and previous candle body midline levels of each candle for each time frame. This helps you easily see what is going on with the higher time frame candles and read the price action from your lower time frame charts.
Each candle level will paint red if it was a down candle or green if it was an up candle, except the midlines and current candle open lines, those are a different color for easy differentiation. The line colors can be customized to your preferences in the settings and you can also toggle the candle body coloring on or off, as well as change the color of the candle body background.
Each timeframe can be adjusted to your preferences, allowing you to turn all of the levels on or off. You can also adjust how many previous candles show up on your chart so you can backtest it and see for yourself how accurate these levels are.
When adjusting the number of candles, you will get a notification if you have more than 500 lines turned on, so just turn down the number of levels for whatever timeframe you can’t see on your chart to lower that number below 500. The notification will go away once you are under 500 lines again. Each candle has 6 lines if all levels are turned on for that timeframe: open, current candle open, close, high, low and midline. The default settings keep you under 500 lines total, so just be aware of that limitation when adjusting those numbers and adjust the number of levels down on the timeframes that are not useful on the current chart bar.
You can also extend the levels right on any time frame from the daily levels and above. This is useful when price is breaking above or below all levels and you need to know if there are any other previous candle levels in the way as price moves away from the most recent higher time frame candles.
To understand the intraday trend of each higher time frame, look to see where price is at according to each higher time frame candle. If the price is above the midline of the candle, it is bullish. If the price is above the candle body it is more bullish. If the price is above the high, it is very bullish. If the price is below the midline of the candle, it is bearish. If the price is below the candle body it is more bearish. If the price is below the low, it is very bearish. Make sure you backtest this yourself and go through lots of historical data to get a feel for how price reacts to these levels and establishes the trend. Then use that trend information to your advantage and trade in the direction of the trend.
Since users are limited to a certain amount of historical bars based on which Tradingview plan you have, some longer timeframe levels won’t show up because the start of that candle is too far back in history. You will get a notification at the top of that chart if that happens. It will tell you to lower the display timeframe for that timeframe until that notification goes away, which means it was able to plot the most recent candle for that timeframe on your chart.
Trend Candle Coloring
The indicator includes a feature that paints the candles based on whether the current time frame candles are above or below the most recent midline, candle body or high & low of a higher time frame candle of your choice. This helps you see the overall trend of the higher timeframe so you can trade with the trend.
The candle coloring will have an up color, down color and neutral color which can all be customized to suit your preferences. If the current time frame candle close is above the setting you choose, it will show the up color. If the current time frame candle close is below the setting you choose, it will show the down color. If the current time frame candle close is equal to or in the middle of the setting you chose, it will show the neutral color.
So, for example if you set it to candle body, then it will show the up color if the current candle is above the top of the candle body, down color if it is below the bottom of the candle body and neutral color if it is inside the candle body. This helps you wait for price action to move beyond the inside of the previous higher time frame candle before taking a position when price is breaking out of that previous candle so you can trade the momentum of that move. The candle coloring is fully customizable, but make sure to turn off your candle coloring on other indicators and your chart settings for it to show up properly.
Trend Strength Scoring Table
The trend strength scoring table displays a table at the bottom of the screen(table position is customizable), showing a score for the trend strength of each higher time frame. If the current candle close is above the midline, its strength is 1. If the current candle close is above the midline, but below the top of the candle body, its strength is 2. If the current candle close is above the high, its strength is 3. The same goes for below the midline, bottom of the candle body and below the low, but the scores would be negative 1, 2 or 3 instead.
This trend strength table allows you to quickly identify the trend on each higher time frame so you can wait until the trend is the same across all time frames before placing a trade in the direction of the trend. It also shows a total score on the far right side that adds all of the current trend scores together to give you a total strength score. Try to only trade when that number is very high compared to how many time frames you have turned on. Each time frame can have up to a maximum score of 3 if bullish and -3 if bearish. Each time frame in the table can be turned on or off to suit your preferences.
Stop Loss Feature
There is also a stop loss feature that you can set to whatever time frame you choose and whatever direction you chose, such as long or short. It will follow the most recent higher time frame candle’s trend using one of the following settings: candle body, high & low or midline. Once a new higher time frame candle is created, the stop loss will update to the most recent candle’s levels so you can use these levels as a trailing stop loss to maximize your wins.
If you have it set to use the candle body and it is set to long mode, then the stop loss will use the previous higher time frame candle’s lowest candle body level. So if it was an up candle previously, it will use the open. If it was a down candle previously, it will use the close. The opposite is true for short positions.
The stop loss will start working once you turn it on in the settings and will update automatically as new higher time frame candles are formed. It also shows a line of where the stop loss was previously since it was turned on.
I recommend using the high & low setting, especially when the market starts trending.
Candle Level Identification Labels
There are labels for each level starting with the 4 hour time frame and above so you can easily tell what level of each candle you are looking at, even if the rest of the candle is not showing within the chart pane. You can customize the label coloring for up candles and down candles and midlines as well as adjust the number of bars that the labels are offset from the current bar so they are visible on your chart without overlapping the current price action or other indicator labels. Labels for each time frame can be turned on or off as needed. The 1 hour labels were not included because it clogs up the chart, but it has labels for all time frames from the 4 hour candles and up.
Alerts
The indicator includes alerts for when the trend has changed to the opposite direction. The trend change alert is based on your settings for the Trend Candle Coloring. Whatever settings you have the trend candle coloring set to, will be used to set up your alerts. The Trend Candle Coloring setting must be turned on as well when creating your alerts for it to work properly. Make sure to backtest your settings and then create your alerts.
It also has alerts for when price is touching an open or close, high or low, midline or any of those levels for each timeframe. This allows you to be notified when price touches one of these levels so you can check the chart and look for potential trade opportunities if price wants to bounce off of that level. To make it easy for you to get alerts on many different tickers, just use the alert for any level touch on whatever timeframes you want.
Other Indicators To Pair This With
Use this in combination with our Trend Strength Indicator so you can visually see the historic and current trend for all of these levels. You should also use our Breakout Scanner to find other markets with strong trends so you always know which market is trending the strongest and can trade those. Trend Strength Indicator, Higher Timeframe Candle Levels and the Breakout Scanner all use the same levels and calculate the trend scores the same way so they are designed to work together to help you quickly be able to read a chart and find what direction to trade in.
Elephant Edge by Signal Algo**Elephant Edge** is a powerful trading indicator built to simplify decision-making for both swing and intraday traders. It blends precision with clarity, helping you identify potential buy and sell opportunities with confidence. Session Levels Predictor+ plots upper and lower percentile levels based on session data, helping traders identify potential support and resistance zones with precision. It automatically calculates percentile-based projections from intraday sessions and marks them with clean, customizable lines. Ideal for intraday and short-term traders looking for statistical price ranges.
For **swing traders**, Elephant Edge pinpoints market turning points and trend directions—empowering you to capture larger moves and ride momentum effectively. For **intraday traders**, it delivers clearly defined buy and sell levels, offering actionable entry and exit points throughout the trading day.
Whether you’re targeting short-term opportunities or holding positions across multiple sessions, Elephant Edge provides a structured and disciplined trading approach. Its intelligently designed signals filter out market noise, giving you a dependable edge while keeping emotions out of the equation.
With **Elephant Edge**, you don’t just react to the market—you trade with **clarity, confidence, and consistency**.
Apex FX - 1st 4H CandleApex FX - 1st 4H Candle
Overview
This indicator identifies the very first 4-hour candle of the trading day and plots its high and low as horizontal lines. These levels are designed to act as key support and resistance for the rest of the 24-hour session.
The lines are calculated using 4-hour data but display on any timeframe, allowing you to see these key daily levels while trading on lower timeframes like the 15-minute or 5-minute chart. The lines extend for the first six 4-hour candles (24 hours) before stopping.
Features
Flexible Timezone: A simple dropdown menu to select your local timezone (e.g., "America/New_York", "Europe/London", "UTC") to ensure the candle is always correctly identified.
Asset Presets: Instantly set the correct start time for major asset classes:
Forex (23:00)
Indices (00:00)
Crypto (21:00)
Fully Custom: A "Custom" option lets you define any hour and minute for the start of your session, giving you full control for other assets like Gold or Oil.
Custom Colors: Change the color of the high and low lines from the settings menu.
How to Use
Add the indicator to your chart.
Open the indicator's "Settings".
In the "Your Timezone" dropdown, select the same timezone you use for your chart (e.g., "America/New_York").
In the "Asset Type Preset" dropdown, choose the asset you are trading (e.g., "Indices").
The indicator will wait for the first 4-hour candle (e.g., the 00:00 candle for Indices) to close, and then it will automatically draw the high and low lines.
Adaptive CE-VWAP Breakout Framework [KedArc Quant]Description
A structured framework that unites three complementary systems into one charting engine:
Chandelier Exit (CE) – ATR-based trailing logic that defines trend direction, stop placement, and risk/reward overlays.
Swing-Anchored VWAP (SWAV) – a dynamically anchored VWAP that re-starts from each confirmed swing and adapts its smoothness to volatility.
Pivot S/R with Volume Breaks – confirmed horizontal levels with alerts when broken on expanding volume.
This script builds a single workflow for bias → trigger → managementwithout mixing unrelated indicators. Each module is internally linked rather than layered cosmetically, making it a true analytical framework—not.
Acknowledgment
Special thanks to Dynamic Swing Anchored VWAP by Zeiierman, whose swing-anchoring concept inspired a part of the SWAV module’s implementation and adaptation logic.
Support and Resistance Levels with Breaks by LuxAlgo for S/R breakout logic.
How this helps traders
Trend clarity – CE color-codes direction and provides evolving stops.
Context value – SWAV traces adaptive mean paths so traders see where price is heavy or light.
Action filter – Pivot+volume logic highlights true structural breaks, filtering false moves.
Discipline tool – Optional R:R boxes visualize risk and target zones to enforce planning.
Entry / Exit guidelines (for study purposes only)
Bias Use CE direction: green = long bias red = short bias
Entry
1. Breakout method– Trade in CE direction when a pivot level breaks on valid volume.
2. VWAP confirmation– Prefer breaks occurring around the nearest SWAV path (fair-value cross or re-test).
Exit
Stop = CE line / recent swing HL / ATR × (multiplier)
Target = R-multiple × risk (default 2 R)
Optional live update keeps SL/TP aligned with current CE state.
Core formula concepts
ATR Stop: Stop = High/Low – ATR × multiplier
VWAP calc: Σ(price × vol) / Σ(vol) anchored at swing pivot, adapted by APT (Adaptive Price Tracking) ratio ∝ ATR volatility.
Volume oscillator: 100 × (EMA₅ – EMA₁₀)/EMA₁₀; valid break when threshold %.
Input configuration (high-level)
Master Controls
Show CE / SWAV modules Theme & Fill opacity
CE Section
ATR period & multiplier Use Close for extremums
Show buy/sell labels Await bar confirmation
Risk-Reward overlay: R-multiple, Stop basis (CE/Swing/ATR×), Live update toggle
SWAV Section
Swing period Adaptive Price Tracking length Volatility bias (ATR-based adaptation) Line width
Pivot & Volume Breaks
Left/Right bar windows Volume threshold % Show Break labels and alerts
Best timeframes
Intraday: 5 m – 30 m for breakout confirmation
Swing: 1 h – 4 h for trend context
Settings scale with instrument volatility—adjust ATR period and volume threshold to match liquidity.
Glossary
ATR: Average True Range (volatility metric)
CE: Chandelier Exit (trailing stop/trend filter)
SWAV: Swing-Anchored VWAP (anchored mean price path)
Pivot H/L: Confirmed local extrema using left/right bar windows
R-multiple: Profit target as a multiple of initial risk
FAQ
Q: Does it repaint? A: No—pivots wait for confirmation and VWAP updates forward-only.
Q: Can modules be disabled? A: Yes—each section has its own toggle.
Q: Can it trade automatically? A: This is an indicator/study, not an auto-strategy.
Q: Is this financial advice? A: No—educational use only.
Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always apply sound risk management.
Quantura - Supply & Demand Zone DetectionIntroduction
“Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics.
Originality & Value
This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context.
The key values of this tool include:
Automated detection of high-probability supply and demand zones.
Integration of both volume and ATR filters for precision and adaptability.
Dynamic zone merging and updating based on price evolution.
Identification of breaker blocks (invalidated zones) to visualize market structure shifts.
Optional bullish and bearish trade signals when zones are retested.
Clear, visually optimized plotting for efficient chart interpretation.
Functionality & Core Logic
The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones.
Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area.
Supply Zones are created when distribution or strong bearish rejection occurs near local highs.
Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts.
Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block.
Parameters & Customization
Demand Zones / Supply Zones: Enable or disable each individually.
Breaker Zones: Activate breaker block detection for invalidated zones.
Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier.
ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions.
Swing Length: Controls the number of bars used to detect structural pivots.
Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness.
Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones.
Color Customization: User-defined bullish and bearish colors for both standard and breaker zones.
Core Calculations
Zones are detected using pivot highs and lows with a defined lookback and lookahead period.
Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.”
Detected zones are merged if overlapping, keeping the chart clean and logical.
When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically.
Bullish and bearish markers appear when zones are retested from the opposite side.
Visualization & Display
Demand zones are shaded in semi-transparent bullish color (default: blue).
Supply zones are shaded in semi-transparent bearish color (default: red).
Breaker zones appear when previous imbalances are broken, helping to spot structural shifts.
Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction.
Use Cases
Identify institutional areas of accumulation (demand) or distribution (supply).
Detect potential breakout traps and market structure shifts using breaker zones.
Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation.
Observe retests and reactions of zones to anticipate possible reversals or continuations.
Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries.
Limitations & Recommendations
The indicator does not predict future price movement; it highlights structural imbalances only.
Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market.
Works best in volatile markets where supply and demand imbalances are clearly expressed.
Should be used as part of a broader trading framework, not as a standalone signal generator.
Markets & Timeframes
The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
Brahmastra with SMC by PoojaSummary
This indicator provides a structured trend-and-momentum workflow that issues Partial and Confirmed trade signals using a combination of trend filters, momentum confirmation, and structure breaks.
It helps traders identify higher-probability trade locations through multi-timeframe confirmation and automatic alert payloads — while keeping the underlying signal logic private (invite-only).
Core Components (high level overview — no source code revealed)
• Trend Filters: EMA (configurable length), VWAP, and Supertrend are used to define overall trend direction and to gate signals.
• Momentum: RSI (configurable length and upper/lower thresholds) helps confirm momentum and optional divergence blocking.
• Market Structure: BOS / CHoCH (Break of Structure / Change of Character) logic with MTF pivots to detect structure-based opportunities.
• Signal Types: Partial signals appear early as potential setups; Confirmed signals meet stricter multi-factor conditions (EMA/VWAP/Supertrend + RSI + optional MTF).
• Repaint Safety: Non-repaint mode available (triggers only after candle close).
• Alerts: Built-in alert messages with optional JSON webhook format.
• Customization: Flexible inputs for sessions, pivots, labels, colors, lookbacks, and MTF parameters to adapt across multiple timeframes.
How to Interpret Signals
• Treat Partial signals as setups to monitor — not instant entries. Wait for confirmation or confluence from price behavior.
• Treat Confirmed signals as higher-probability opportunities that satisfy trend and momentum alignment.
• Enable MTF confirmation selectively on smaller timeframes (e.g., 5m using 15m/1H confirmation).
• Use Non-repaint mode (trigger only after candle close) for safe alert generation.
Limitations & Risk Notice
This indicator does not guarantee profits or accuracy. It is a technical and educational tool meant to assist analysis.
All trading decisions, entries, and exits are the sole responsibility of the user. Always perform backtesting and paper trading before live use.
This is not financial advice.
Version Note & Support
This is a closed invite-only script. The indicator includes configuration options for labels, alerts, and MTF pivots.
For approved users seeking modifications or usage details, please contact the author (see Author’s Instructions section).
Supply and Demand Scanner Toolkit [TradingFinder]🔵 Introduction
The analytical system presented here is built upon a deep quantitative foundation designed to capture the dynamic behavior of supply and demand in live markets. At its core, it calculates continuously adaptive zones where institutional liquidity, volatility shifts, and momentum transitions converge. These zones are derived from a combination of a regression-based moving average, a long-period ATR, and Fibonacci expansion ratios, all working together to model real-time volatility, price momentum, and the underlying market imbalance.
In practice, this means that at any given moment, five primary bands and seven variable analytical zones are generated around price, representing different market states ranging from extreme overbought to extreme oversold.
Each band reacts dynamically to price volatility, recalibrating with every new candle, which allows the system to mirror the true, constantly changing structure of supply and demand. Every movement between these zones reflects a transition in the strength and dominance of buyers and sellers, a process referred to as volatility-driven price state transitions.
Traditional analytical models often rely on fixed or static indicators that cannot keep up with the rapid microstructural changes in modern markets. This system instead uses regression and smoothing logic to adapt on the fly. By combining a regression moving average with a smoothed moving average, the model calculates real-time trend direction, momentum flow, and trend strength.
When the regression average rises above the smoothed one, the system classifies the trend as bullish; when it falls below, bearish. This dual-layer structure not only helps confirm direction but also enables the automatic detection of critical structural shifts such as Break of Structure (BoS), Change of Character (CHoCH), and directional reversals.
Both the current trend (Live Trend) and projected future trend (Vision Trend) are calculated simultaneously across all available timeframes. This dual analysis allows traders to identify structural changes earlier and to recognize whether a trend is gaining or losing momentum.
In most conventional moving-average-based frameworks, trading signals are delayed because these models react to price rather than anticipate it. As a result, many buy or sell signals appear after the real move has already begun, leading to entries that contradict the current trend. This system eliminates that lag by employing a mean reversion trading model. Instead of waiting for crossovers, it observes how far price deviates from its statistical mean and reacts when that deviation begins to shrink, the moment when equilibrium forces reemerge.
This approach produces non-lagging, data-driven signals that appear at the exact moment price begins to revert toward balance. At the same time, traders can visually assess the market’s condition by observing the spacing, compression, or expansion of the dynamic bands, which represent volatility shifts and trend energy. Through this interaction, the trader can quickly gauge whether a trend is strengthening, losing power, or preparing for a reversal. In other words, the model provides both quantitative precision and intuitive visualization.
A unique visual element in this system is how candles are displayed during transitional states. When Live Trend and Vision Trend contradict each other, for instance, when the current trend is bullish but the projected trend turns bearish, candle bodies automatically appear as hollow.
These hollow candles act as visual alerts for zones of uncertainty or equilibrium between buyers and sellers, often preceding trend reversals, liquidity sweeps, or volatility compression phases. Traders quickly learn to interpret hollow candles as signals to pause, observe, or prepare for potential shifts rather than to act impulsively.
Signal generation in this model occurs when price reverts from extreme zones back toward neutrality. When price exits the strong overbought or strong oversold zones and reenters a milder area, the system produces a reversal signal that aligns with real-time market dynamics. To refine accuracy, these signals are confirmed through several filters, including momentum verification, volatility behavior, and smart money validation. This multi-layered signal logic significantly reduces false entries, helping traders avoid overreactions to temporary liquidity spikes and enhancing performance in volatility-driven markets.
On a broader level, the model supports full multi-timeframe analysis. It can analyze up to twenty symbols simultaneously, across multiple timeframes, to detect directional bias, correlation, and confluence. The result is a holistic map of market structure in real time, showing how each asset aligns or diverges from others and how lower timeframes fit into the macro trend. Variables such as Live Trend, Vision Trend, Directional Strength, and Zone Positioning combine to give a complete structural snapshot at any given moment.
Risk management is handled by an adaptive Trailing Stop Engine that continuously aligns with current volatility and price flow. It integrates pivot mapping with ATR-based calculations to dynamically adjust stop-loss levels as price evolves. The engine offers four adaptive modes, Grip, Flow, Drift, and Glide, each tailored to different levels of market volatility and trader risk tolerance. In visualization, the profit area between entry and stop-loss is shaded light green for long positions and light red for short positions. This design allows immediate recognition of active risk exposure and profit lock-in zones, all in real time.
Altogether, the combination of ATR Volatility Mapping, Fibonacci Band Calibration, Regression-Based Trend Engine, Dynamic Supply and Demand Equilibrium, Conflict Detection through Hollow Candles, Mean Reversion Signal Model, and Adaptive Trailing Stop forms a unified analytical system. It maps the market’s structure, identifies current and future trends, measures the real-time balance of buyers and sellers, and highlights optimal entry and exit points. The final result is higher analytical precision, improved risk control, and a clearer view of the true, data-defined market structure.
🔵 How to Use
Analyzing supply and demand in live financial markets is one of the most complex challenges traders face. Price rarely moves in a straight line; instead, it evolves through phases of expansion, compression, and redistribution. Many traders misinterpret these movements because the zones that appear strong or reactive at first glance often represent nothing more than temporary liquidity redistributions.
These areas, while visually convincing, may lose relevance quickly when volatility increases or when viewed from another timeframe. In high-volatility environments, traditional zone analysis becomes even more unreliable. Price may seem to respect a support or resistance level only to break through it a few candles later. This behavior creates false zones and misleading reversal points.
The key to filtering such movements lies in understanding the context, how volatility, momentum, and structural flow interact across different timeframes. A single timeframe can only tell part of the story. The market’s true structure emerges only when data is synchronized from macro to micro levels.
This is where multi-timeframe correlation becomes essential. Every timeframe offers a different lens through which supply and demand balance can be observed. For example, a trader might see a bullish setup on a 15-minute chart while the 4-hour chart is still showing a strong distribution phase. Without alignment between these layers, trades are easily positioned against the dominant liquidity flow. The model presented here solves this by processing all relevant timeframes simultaneously, allowing traders to see how short-term movements fit within higher-level structures.
Each market phase, whether accumulation, expansion, or reversion, carries a unique volatility fingerprint. The system tracks transitions in volatility regimes, momentum divergence, and structural breakouts to anticipate when a phase change is approaching. For instance, when volatility compresses and ATR readings narrow, it often signals an upcoming breakout or reversal. By monitoring these shifts in real time, the model helps the trader differentiate between liquidity grabs (temporary volatility spikes) and genuine structural changes.
Every supply-demand interaction within this system is adaptive rather than static. The zones continuously recalibrate based on live parameters such as price velocity, momentum distribution, and liquidity displacement. This adaptive structure ensures that the balance between buyers and sellers is represented accurately as market conditions evolve.
In practice, this allows the user to identify early signs of trend exhaustion, potential reversals, and continuation patterns long before traditional indicators would react.
In essence, successful supply and demand analysis requires moving beyond subjective interpretation toward data-driven decision-making.
Manual drawing of zones or relying solely on visual intuition can lead to inconsistent results, especially in fast-changing markets. By combining ATR-driven volatility mapping, mean reversion dynamics, and multi-timeframe alignment, this framework offers a clear, objective, and responsive model of how market forces actually operate. Each decision becomes grounded in measurable context, not assumptions.
The analytical interface is divided into two main sections : the visual chart framework and the scanner data table.
On the chart, five dynamic bands and seven analytical zones appear around price. These are calculated from ATR, regression moving average, and Fibonacci expansion ratios to define whether the market is overbought, oversold, or neutral. Each zone has distinct color coding, allowing traders to recognize the market state instantly without switching tools or indicators.
Price movement within these bands reveals more than just direction, it tells a story of volatility, liquidity flow, and market equilibrium. The upper zones typically indicate exhaustion of buying pressure, while lower zones highlight areas of overselling or potential recovery. The way price reacts near these boundaries can help determine whether a continuation or reversal is likely.
At the heart of the visualization are two layered trend components : Live Trend and Vision Trend.
The Live Trend shows the present market direction based on regression and smoothing logic, while the Vision Trend projects the probable future trajectory by analyzing slope deviation and momentum displacement. When these two align, the trader sees confirmation of market strength. When they diverge, candle bodies turn hollow, a simple yet powerful visual alert signaling hesitation, consolidation, or a possible turning point.
At the bottom of the interface, the Scanner Table organizes all analytical data into a structured display. Each row corresponds to a symbol and timeframe, showing the current Live Trend, Vision Trend, Directional Strength, Zone Position, and Signal Age. This table provides a real-time overview of all assets being tracked, showing which ones are trending, which are in reversal, and which are entering transition zones. By analyzing this table, traders can instantly identify correlation clusters, where multiple assets share the same trend direction, often a sign of broader market sentiment shifts.
The Scanner can simultaneously process multiple timeframes and up to twenty different assets, producing a panoramic market overview. This makes it easy to apply a top-down analytical workflow, starting with higher timeframe alignment, then drilling down into lower levels for execution. Instead of reacting to isolated signals, traders can see where confluence exists across structures and focus only on setups that align with overall market context.
The bands and their color coding make interpretation intuitive even for less experienced users. Darker shades correspond to extreme zones, typically where institutional orders are being absorbed or distributed, while lighter zones mark mild overbought or oversold conditions. When price transitions from an outer extreme zone into a milder region, a signal condition becomes active. At this point, traders can cross-check the event using momentum and volatility filters before acting.
The trailing stop section of the display adds another critical dimension to decision-making. It visualizes stop levels as continuously updating colored lines that follow price movement. These levels are calculated dynamically through pivot mapping and ATR-based sensitivity. The shaded area between the entry point and active stop loss (light green for buys, light red for sells) gives traders immediate insight into how much of the move is currently secured as profit and how much remains exposed. This simple visual cue transforms risk management from a static calculation into a living, responsive process.
All components of this analytical system are fully customizable. Users can adjust signal type, calculation periods, smoothing intensity, and band sensitivity to match their trading style. For example, a scalper might shorten ATR and MA periods to capture rapid fluctuations, while a swing trader might increase them for smoother and more stable readings. Because every element responds to live data, even small adjustments lead to meaningful changes in how the system behaves.
When combined with the scanner’s data table, these features enable a top-down analytical workflow, one where decisions are not made from isolated indicators but from a complete, multi-dimensional understanding of market structure. The result is a system that supports both reactive precision and proactive market awareness.
🟣 Long Signal
A long signal is generated when price begins to rebound from deeply oversold conditions. More precisely, when price enters the strong or extreme oversold zones and then returns into the mild oversold region, the system identifies the start of a mean reversion phase. This transition is not based on subjective interpretation but on mathematical deviation from equilibrium, meaning that selling pressure has been exhausted and liquidity begins to shift toward buyers.
Unlike delayed signals that depend on moving average crossovers or oscillators, this signal appears the moment price starts moving back toward balance. The model’s mean reversion logic detects when volatility contraction and momentum realignment coincide, producing a non-lagging entry condition.
In this situation, traders can visually confirm the setup by observing the spacing and curvature of the lower bands. When the lower volatility bands begin to flatten or curve upward while ATR readings stabilize, it indicates that the market is transitioning from distribution to accumulation.
The strength and quality of each long signal depend on the configuration of trend variables. When both Live Trend and Vision Trend are bullish, the probability of continuation is significantly higher. This alignment suggests that the market’s short-term momentum is supported by long-term structure. On the other hand, when the two trends contradict each other, which the chart highlights with hollow candles, it represents a temporary phase of indecision or conflicting forces.
In these moments, traders are encouraged to monitor volatility compression and observe whether the next few candles confirm a real breakout or revert back to range conditions.
Additional confirmation can be derived from observing the slope of the regression moving average and the magnitude of ATR fluctuations. A steeper upward slope combined with decreasing volatility indicates stronger bullish intent. In contrast, if ATR expands while price remains flat, it signals potential traps or fakeouts driven by short-term liquidity grabs.
Valid long signals often emerge near the end of volatility compression periods or immediately after liquidity sweeps around major lows. These are points where large players typically absorb remaining sell orders before initiating upward movement. Once the long condition triggers, the system automatically calculates the initial stop loss using a combination of recent pivots and ATR range. From that point, the Trailing Stop Engine dynamically adjusts as price rises, maintaining optimal distance from the entry point and locking in profits without restricting trade potential.
For educational context, consider a situation where the market has been trending downward for several sessions, and the ATR value begins to decline, showing that volatility is compressing. As price touches the lower extreme zone and reverses into the mild oversold region while Live Trend starts turning positive, this creates an ideal long condition. A new cycle of expansion often begins right after such compression, and the system captures that early shift automatically.
🟣 Short Signal
A short signal represents the opposite scenario, a point where buying momentum weakens after a strong rally, and price begins to revert downward toward equilibrium. When price exits the strong or extreme overbought zones and moves into the mild overbought region, the model detects the start of a bearish mean reversion phase.
Here too, the signal appears without delay, as it is based on the real-time relationship between price and its volatility boundaries rather than on indicator crossovers.
The system identifies these short conditions when upward momentum shows visible fatigue in the volatility bands. The upper bands start to flatten or turn downward while the regression slope begins to lose angle. This is often accompanied by rising ATR readings, showing an expansion in volatility that reflects distribution rather than continuation.
The quality of the short signal is strongly influenced by the interaction between the two trend layers. When both Live Trend and Vision Trend point downward, the likelihood of sustained bearish continuation increases dramatically. However, if they diverge, candle bodies turn hollow, clearly marking zones of conflict or hesitation. These phases often coincide with the end of a bullish impulse wave and the start of an early correction.
A practical example can illustrate this clearly. Imagine a market that has been trending upward for several days with expanding volatility. When price pushes into the extreme overbought zone and starts pulling back into the mild region, the system interprets it as the first sign of distribution. If at the same time the regression moving average flattens and ATR begins to rise, it strongly suggests that institutional participants are taking profit. The generated short signal allows the trader to position early in anticipation of the downward reversion that follows.
The initial stop loss for short trades is calculated above the most recent pivot high, ensuring logical protection based on the structural context. From there, the Trailing Stop Engine automatically tracks the price movement downward, tightening stops as volatility decreases or expanding them during sharp swings to avoid premature exits.
The engine’s dynamic nature makes it suitable for both aggressive scalpers and patient swing traders. Scalpers can set the trailing sensitivity to “Grip” mode for tighter control, while swing traders can use “Glide” mode to capture larger portions of the trend.
Most short signals form right after volatility expansion or liquidity grabs around major highs, classic exhaustion areas where momentum divergence becomes evident. The combination of visual cues (upper band curvature, hollow candles, ATR spikes) provides traders with multiple layers of confirmation before taking action.
In both long and short scenarios, this analytical system replaces emotional decision-making with structured interpretation. By translating volatility, momentum, and price positioning into clear contextual patterns, it empowers the trader to see where reversals are forming in real time rather than guessing after the move has started.
🔵 Setting
🟣 Logical Setting
Channel Period : The main channel period that defines the base moving average used to calculate the central line of the bands. Higher values create a smoother and longer-term structure, while lower values increase short-term sensitivity and faster reactions.
Channel Coefficient Period : The ATR period used to measure volatility for determining the channel width. Higher values provide greater channel stability and reduce reactions to short-term market noise.
Channel Coefficient : The ATR sensitivity factor that defines the distance of the bands from the central average. A higher coefficient widens the bands and increases the probability of detecting overbought or oversold conditions earlier.
Band Smooth Period : The smoothing period applied to the bands to filter minor price noise. Lower values produce quicker reactions to price changes, while higher values create smoother and more stable lines.
Trend Period : The period used in the regression moving average calculation to identify overall trend direction. Shorter values highlight faster trend shifts, while longer values emphasize broader market trends.
Trend Smooth Period : The smoothing period for the regression trend to reduce volatility and confirm the dominant market direction. This setting helps to better distinguish between corrective and continuation phases.
Signals Gap : The time interval between generated signals to prevent consecutive signal clustering. A higher value strengthens the temporal filter and produces more selective and refined signals.
Bars to Calculate : Defines the number of historical candles used in calculations. Limiting this value optimizes script performance and reduces processing load, especially when multiple symbols or timeframes are analyzed simultaneously. Higher values increase analytical depth by including more historical data, while lower values improve responsiveness and reduce potential lag during live chart updates.
Trailing Stop : Enables or disables the dynamic trailing stop engine. When active, the system automatically adjusts stop loss levels based on live volatility and price structure, maintaining alignment with market flow and trend direction.
Trailing Stop Level : Defines the operational mode of the trailing stop engine with four adaptive styles: Grip, Flow, Drift, and Glide. Grip offers tight stop management for scalping and high precision setups, while Glide allows wider flexibility for swing or long-term trades.
Trailing Stop Noise Filter : Applies an additional filtering layer that smooths minor fluctuations and prevents unnecessary stop adjustments caused by short-term market noise or micro volatility.
🟣 Display Settings
Show Trend on Candles : Displays the current trend direction directly on price candles by applying dynamic color coding. When Live Trend and Vision Trend align bullish, candles appear in green tones, while bearish alignment displays in red. If the two trends conflict, candle bodies turn hollow, marking a Trend Conflict Zone that signals potential indecision or upcoming reversal. This feature provides instant visual confirmation of market direction without the need for external indicators
Table on Chart : Allows users to choose whether the analytical table appears directly over the chart or positioned below it. This gives full control over screen layout based on personal workspace preference and chart design.
Number of Symbols : Controls how many symbols are displayed in the screener table, adjustable from 10 up to 20 in steps of 2. This flexibility helps balance between detailed screening and visual clarity on different screen sizes.
Table Mode : Defines how the screener table is visually arranged.
Basic Mode : Displays all symbols in a single column for vertical readability.
Extended Mode : Arranges symbols side by side in pairs to create a more compact and space-efficient layout.
Table Size : Adjusts the visual scaling of the table. Available options include auto, tiny, small, normal, large, and huge, allowing traders to optimize table visibility based on their screen resolution and preferred chart density.
Table Position : Determines the exact placement of the screener table within the chart interface. Users can select from nine available alignments combining top, middle, and bottom vertically with left, center, and right horizontally.
🟣 Symbol Settings
Each of the 10 available symbol slots includes a full range of adjustable parameters for personalized analysis.
Symbol : Defines or selects the asset to be tracked in the screener, such as XAUUSD, BTCUSD, or EURUSD. This enables multi-asset scanning across different markets including forex, commodities, indices, and crypto.
Timeframe : Sets the specific timeframe for analysis for each selected symbol. Examples include 15 minutes, 1 hour (60), 4 hours (240), or 1 day (1D). This flexibility ensures precise control over how each asset is monitored within the multi-timeframe structure.
🟣 Alert Settings
Alert : Enables alerts for AAS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
Understanding financial markets requires more than indicators, it demands a framework that captures the interaction of price, volatility, and structure in real time. This analytical system achieves that by combining mean reversion logic, volatility mapping, and dynamic supply and demand modeling into an adaptive, data-driven environment. Its computational bands and trend layers visualize market intent, showing when momentum is strengthening, fading, or preparing to shift.
Each signal, derived from statistical equilibrium rather than delayed indicators, reflects the exact moment when the balance between buyers and sellers changes. Variables like Live Trend, Vision Trend, Directional Strength, and ATR-based Volatility Context help traders assess signal quality and alignment across multiple timeframes. The system blends automation with human interpretation, preserving macro-to-micro consistency and enabling confident entries, exits, and stop management through its adaptive Trailing Stop Engine.
Every component, from color-coded zones to hollow candles, forms part of a broader narrative that teaches traders to read the market’s language instead of reacting to it. Built on self-correcting analysis, the framework continuously recalibrates with live data. By transforming volatility, liquidity, and price behavior into structured insight, it empowers traders to move from reaction to prediction, a living ecosystem that evolves with both the market and the trader.
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