Gridbot Ping Pong🏓 Gridbot Ping Pong is a dynamic grid bot indicator that generates buy and sell signals as price oscillates between automatically calculated support and resistance levels. The grid adapts to trending markets through adjustable tilt and anchor parameters, which control the grid slope and shift resistance respectively. Entry signals trigger when price touches grid levels, while take profit and stop signals manage position exits. Unlike traditional grid bots that require horizontal ranges, this indicator maintains its oscillation zone as price trends by tilting and shifting the grid structure to follow momentum. The grid bot approach aims to accumulate gains through frequent touches across multiple grid levels rather than seeking large directional moves. Like a ping pong ball in motion, price oscillates between grid levels — each touch generates a signal.
⚡ THEORY & CONCEPTS ⚡
Grid trading is a systematic approach that places buy and sell orders at predetermined price intervals, creating a grid of orders above and below a set price level. In ranging markets, this method capitalizes on natural price oscillations by buying at lower grid levels and selling at higher ones. Each completed round trip between levels represents a captured opportunity, and the frequency of these oscillations determines the grid's effectiveness. Traditional grid bots excel when price remains within the defined range, methodically accumulating gains as price bounces between levels.
However, traditional grid structures face significant challenges when markets begin to trend. Fixed horizontal levels that performed well during consolidation become liabilities during directional moves. An uptrend leaves buy orders unfilled while sell orders trigger prematurely, and a downtrend creates the opposite problem. Extended trends can result in accumulated positions at increasingly unfavorable prices, with no mechanism to adapt to the new market reality. The static nature of traditional grids assumes markets will return to the mean, yet sustained breakouts regularly invalidate this assumption.
Gridbot Ping Pong addresses these limitations through dynamic grid adaptation. The tilt parameter angles the grid in the direction of the prevailing trend, aligning support and resistance levels with market momentum rather than fighting against it. The anchor parameter creates buffer zones beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a grid shift. When price breaks through these buffers, the entire grid recenters to the new price level. This combination of tilting grids and controlled shifting allows the indicator to maintain grid trading mechanics while acknowledging that markets trend.
The grid adapts through a downtrend and early reversal. Entry signals (▲▼), take profit signals (△▽), and grid shifts demonstrate the ping pong sequence as price oscillates between levels.
The grid structure consists of five levels: two potential support levels below, a center base price, and two potential resistance levels above. These levels are calculated as percentage intervals from a dynamic base price, with the spacing parameter determining the distance between each level. Trend direction is derived from consecutive grid shifts, where multiple shifts in the same direction confirm momentum. The grid restricts entries to the trend direction — buy signals in uptrends, sell signals in downtrends — while counter-trend signals convert to exits when appropriate.
Full market cycle demonstrating grid adaptation through rally, reversal, decline, and recovery. Buy signals dominate during uptrends, sell signals during downtrends, with take profits at boundaries throughout. Two stop signals mark the trend reversals.
Tilt
The tilt mechanic introduces slope to the grid structure based on trend direction and momentum. When consecutive shifts occur in the same direction, the tilt increases, creating a steeper grid that tracks with the trend. As the trend progresses, support levels rise with it — buy signals trigger on pullbacks to these rising levels rather than static levels abandoned by price. Similarly, resistance levels fall during downtrends, keeping sell signals relevant to current price action. If the trend reverses and shifts occur in the opposite direction, the tilt resets and begins building in the new direction. The tilt strength parameter controls how aggressively the grid slopes, with higher values producing steeper angles. Negative tilt values invert this relationship, angling the grid against the prevailing momentum rather than with it. This counter-trend configuration positions support levels lower during uptrends and resistance levels higher during downtrends, favoring mean reversion entries that anticipate pullbacks rather than continuation.
Negative tilt applied during an uptrend. Despite the bullish price action from late November through December, the grids slope downward, positioning buy signals at deeper support levels. Take profit signals appear at resistance as price reaches the upper grid boundaries before pulling back. The counter-trend configuration captures oscillations within the rising market rather than chasing momentum.
Anchor
The anchor mechanic provides resistance to grid shifting. Buffer zones extend beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a shift. Higher anchor values create larger buffers, requiring more significant price movement. As consecutive shifts confirm a trend, the pro-trend buffer shrinks, allowing the grid to follow momentum with increasing ease. This lets the indicator commit to established trends while resisting premature shifts during consolidations. Tilt and anchor work in complementary tension: tilt rewards momentum by angling the grid, while anchor resists excessive shifting by requiring price conviction to recenter. When price breaks through these buffers, the entire grid recenters to the new price level and play continues on a fresh table.
Steady uptrend with minimal tilt. The flat grid segments demonstrate that shifting alone keeps the grid aligned with price action. Buy signals (▲) and take profit signals (▽) alternate as price bounces between levels, accumulating gains through repetition across the entire move.
Sustained uptrend from June through September. The grid follows the trend with increasing ease as consecutive shifts reduce the pro-trend buffer. The October consolidation eventually triggers a downward shift and stop signal, but the system adapts to the renewed uptrend in November with fresh entry signals.
Signal Generation
The indicator generates three signal types. Entry signals (▲▼) trigger when price reaches a grid level in the direction of the trend, initiating a new position. Take profit signals (△▽) trigger when price reaches a grid level against the trend direction while a position is held, capturing gains as the rally continues. Stop signals (⦿) trigger when a grid shift occurs while holding a position adverse to the new shift direction. The ball goes off the table.
Trend reversal from bearish to bullish. The grid follows the downtrend through November with consecutive sell signals. A stop signal (⦿) triggers at the bottom as the grid shifts adversely against the held position. The system resets and adapts to the emerging uptrend in December, generating fresh buy signals as the new direction establishes.
Trigger Options
The signal trigger determines what price data the indicator uses to detect grid touches, balancing responsiveness against confirmation.
Auto : The default setting, using wick-based detection for pro-trend signals and close-based detection for counter-trend signals. This balances responsiveness when entering with the trend against confirmation when signaling against it.
Wick Touch : Generates signals in real-time when the high or low touches a grid level, providing the fastest response to price interaction.
Wick Reverse : Requires the wick to cross through the grid level from the previous bar, confirming the touch before signaling.
SWMA : Uses a Symmetrically Weighted Moving Average as the trigger source, generating signals only when the smoothed price crosses grid levels.
Close : Uses the bar's closing price as the trigger source, providing confirmed signals after each bar completes.
Symmetrically Weighted Moving Average (SWMA) trigger during a trend reversal. The smoothed price line filters intrabar noise, generating signals only when the SWMA crosses grid levels rather than reacting to wick touches. The grid follows the downtrend through November, resets at the bottom, and adapts to the emerging uptrend in December.
Signal Safeguards
The indicator includes built-in protections to reduce overtrading and mitigate risk, keeping the ball in play longer:
Boundary Protection : New entries are blocked at the outermost grid levels where breakout risk is highest. Exits remain permitted at these boundaries.
Signal Spacing : Signals maintain one-level separation from the most recent signal, preventing clusters of entries at similar prices.
Trend Alignment : When conflicting conditions arise, signals align with the prevailing trend direction rather than fighting momentum.
Automatic Profit Taking : Counter-trend interactions convert to take profit signals when a position is held, capturing gains rather than reversing exposure.
Adverse Shift Stops : When the grid shifts against a held position, a stop signal triggers to exit before further adverse movement.
Cautious Breakout Entries : On the first shift in a new direction, entries are restricted to favorable grid levels until the trend confirms through consecutive shifts.
Shift Resistance : Counter-trend shifts always require full buffer conviction, while pro-trend shifts become easier only after the trend is confirmed.
🛠️ CONFIGURATION & SETTINGS 🛠️
Core Parameters
SPACING (%) : Sets the percentage distance between grid levels. Higher values create wider grids with more room between signals, lower values create tighter grids with more frequent signal opportunities.
TRIGGER : Selects the price source for signal detection. See Trigger Options above.
TILT : Controls the grid slope factor in the trend direction.
ANCHOR : Controls resistance to grid shifting.
Visual Settings
GRIDS : Sets the colors for support (lower) and resistance (upper) grid levels.
FILL : Sets the gradient fill colors between the price line and outer grid boundaries.
SWMA : Sets the color of the Symmetrically Weighted Moving Average line.
🏓 PLAYING GRIDBOT PING PONG 🏓
⚪The objective is not to predict where price will go, but to be present at each level when it arrives.
⚪Each touch at a boundary counts. Gains accumulate through repetition, not single swings.
⚪The rally continues until it doesn't. When the ball goes off the table, the game resets.
⚪The grid creates boundaries where price bounces back and forth. The table is set — the ball does the work.
⚪Price oscillates between defined levels. The grid is the table. Everything else is just ping pong.
Tennis is a form of ping pong. In fact, tennis is ping pong played while standing on the table. In fact, all racquet games are nothing but derivatives of ping pong. — George Carlin
⚠️ DISCLAIMER ⚠️
The Gridbot Ping Pong indicator is a visual analysis tool designed to illustrate grid trading concepts and serve as a framework for understanding grid bot mechanics. While the indicator generates entry, exit, and stop signals, no guarantee is made regarding the profitability of these signals. Like all technical indicators, the grid levels and signals generated by this tool may appear to align with favorable trading opportunities in hindsight. However, these signals are not intended as standalone recommendations for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis.
🧠 BEYOND THE CODE 🧠
Gridbot Ping Pong is part of the Grid Bot Series, building on the concepts introduced in the Grid Bot Simulator , Grid Bot Auto , and Grid Bot Parabolic indicators. While those tools established the foundation for grid-based analysis, this indicator introduces dynamic tilt and anchor mechanics that adapt to trending market conditions.
This indicator shares the same educational philosophy as the Fibonacci Time-Price Zones and the Fibonacci Geometry Series - providing frameworks for understanding market concepts through visualization and experimentation rather than black-box signals.
The Gridbot Ping Pong indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Feedback and insights are invaluable to refining and enhancing this tool. We look forward to the creative applications, observations, and discussions this indicator inspires within the trading community.
Trend Analysis
Clean Strong S/R + EMA150 @IdanSarangaClean Strong Support & Resistance + EMA150
This indicator is designed to highlight only the most important support and resistance levels, while keeping the chart clean and readable.
How it works
• EMA 150 is used as the main trend filter
When price is above the EMA150, the market is considered to be in a bullish environment.
When price is below it, conditions are weaker or bearish.
• Support & Resistance levels are detected automatically
The indicator uses pivot highs and pivot lows, meaning levels are created only where price actually reversed — not estimated or manually drawn.
• Levels extend forward in time
Each level is projected to the right, so you can clearly see where price may react again in the future.
• Dynamic color logic (role reversal)
Levels change color automatically based on current price:
Green → acting as support (below / near price)
Red → acting as resistance (above / near price)
Gray → not currently relevant
• Clean by design
Only the strongest and most recent levels are kept. Older or less relevant levels are removed to avoid clutter.
Who this is for
This indicator is built for swing traders and investors who want:
Clear structure
Objective price levels
Minimal noise
No over-signaling
Best used on
• Daily timeframe
• Works especially well with trend continuation, pullbacks, and breakout / rejection analysis
Clean Strong S/R + EMA150 @IdanSarangaI take the EMA150 to understand if the market is in a good trend or not.
Then I look for points where the market really turned (Pivot High/Low), turn them into support/resistance lines, and color them according to whether the price is above or below them. I only keep the most recent levels so the chart stays clean.
Uptrick: Price Memory TrendIntroduction
Uptrick: Price Memory Trend is a custom indicator designed to detect directional shifts and volatility changes using a non-traditional price memory approach. Unlike moving average systems, it builds a dynamic memory of price that adapts gradually over time, allowing it to detect significant deviations and trend transitions with reduced noise.
Overview
This script identifies trend changes by comparing the current price to a memory-based baseline. When price deviates significantly from this memory base, it triggers a trend regime shift—either bullish or bearish. Adaptive deviation bands are calculated using absolute deviation from the memory base, not ATR or standard deviation, which allows the indicator to capture volatility uniquely. Visual components include color-coded candles, labeled signals, optional bands, and a live status table summarizing current trend metrics.
Originality
The indicator’s core innovation lies in its use of a decaying memory function to track trend direction, replacing moving averages with a price memory that responds only to significant deviations. This method avoids lag typically associated with smoothing techniques, enabling timely trend detection. Furthermore, deviation is measured directly in price terms, rather than through volatility surrogates like ATR or Bollinger Bands, resulting in a more raw and responsive depiction of price behavior.
Inputs
Core Engine
Memory Strength: Sets how strongly the memory responds to price changes. Higher values make the memory base more reactive.
Memory Decay: Controls how much past memory is retained. Lower values weight new prices more heavily.
Deviation Length: Length of the EMA used to smooth absolute price deviation. A longer setting results in smoother bands.
Band Multiplier: Expands or contracts the dynamic bands. Higher values widen the bands, reducing sensitivity.
Customization
Color Palette: Selects one of six predefined color schemes for bull and bear visuals.
Show Bands: Enables or disables the display of deviation bands.
Look: Chooses between 'Bands', 'Trail', or 'Intense' styles, affecting how bands and fills are drawn.
Bands
Trail
Intense
Show Info Table: Toggles display of the real-time trend and volatility status panel.
Table Position: Determines which corner of the chart the info panel appears in.
Text Size: Adjusts font size used within the info table.
Features
Trend Detection
Bullish Shift: Triggered when price crosses above the upper band, entering a new bullish regime.
Bearish Shift: Triggered when price crosses below the lower band, entering a new bearish regime.
Trend state is persistent and updated only on confirmed transitions, avoiding repeated entries in the same direction.
Candle Coloring
Candles are dynamically recolored based on current trend direction: bull, bear, or neutral.
Signal Labels
Visual labels marked "Up" or "Down" are placed on the chart when a regime shift occurs, helping to mark turning points.
Deviation Bands
Dynamic upper and lower bands are drawn based on smoothed absolute deviation from the memory base.
Additional outer bands based on ATR may be drawn to highlight zone intensity when the 'Intense' or 'Trail' styles are selected.
Bands visually indicate overextension and help frame price context relative to memory.
Alerts
Built-in alert conditions trigger on bullish or bearish trend shifts, useful for automation or notifications.
Info Table
The optional info table displays:
Current trend direction
Band state (calm, hot, or cool)
Price stretch from base
Trend age in bars
Confidence level based on deviation
Memory slope and acceleration
Band width and compression state
Reversion risk based on stretch level
Info Table:
Trade Example:
Logic
Price Memory
A recursive formula updates a memory variable based on the current price.
The memory adjusts only when the price deviates meaningfully from its previous value.
The formula uses a combination of delta-weighting and exponential decay:
> memory := previous_memory + delta × memory_strength
> memory := memory × memory_decay + price × (1 - memory_decay)
This produces a smooth, adaptive base that responds gradually to directional price moves.
Deviation and Bands
Absolute deviation between price and the memory base is calculated and smoothed using an EMA.
The upper and lower bands are then calculated as:
> Upper Band = memory base + (smoothed deviation × band multiplier)
> Lower Band = memory base - (smoothed deviation × band multiplier)
ATR-based extensions can optionally be drawn around these bands for added visual structure.
Trend Logic
Bullish and bearish states are tracked using crossovers and crossunders of price against the upper and lower bands.
The indicator maintains a persistent trend state variable that updates only when a confirmed regime change occurs.
This prevents multiple signals within the same trend direction (non-pyramiding behavior).
Stretch and Band Analysis
Stretch is measured as the deviation of price from memory, normalized by smoothed deviation.
Band width is tracked over time and used to detect compression or expansion.
Band position is calculated to identify where price sits between the upper and lower bands.
Info Table Metrics
Memory Slope and Acceleration: Show first and second derivative of the memory base to capture trend speed and change.
Confidence Level: Based on stretch intensity, indicating trend strength.
Reversion Risk: Inferred from how extended price is beyond the band.
Compression: Evaluated by comparing current band width to its recent average.
Summary
Uptrick: Price Memory Trend provides an alternative framework for trend identification by replacing traditional smoothing with adaptive memory logic. It measures price deviation without reliance on ATR or standard deviation, instead focusing on distance from a reactive baseline. With regime-based trend tracking, customizable visuals, and a detailed status table, it supports both discretionary and system-driven trading styles.
Disclaimer
This script is for informational and educational purposes only. It does not provide financial advice or guarantees. Trading involves risk, and past performance is not indicative of future results. Always perform your own research before making trading decisions.
DJLogicsAn indicator designed to trade fast and efficiently on 3-minute charts — without lagging signals or unnecessary noise.
🎯 What’s inside:
— Clear identification of short-term trend
— Early entry and exit points
— Minimal subjectivity, maximum structure
— Perfect for active trading and scalping
🎥 I’ve recorded a detailed training video where I walk you step by step through:
— how the indicator works
— how to use it correctly
— the mistakes 90% of traders make on lower timeframes
This is a tool for those who actually trade — not just watch the market.
Consolidated Technical ScorecardConsolidated Technical Scorecard (CTS)
The Consolidated Technical Scorecard (CTS) is a structured trend-strength and leadership-quality framework designed to help traders quickly assess whether a stock or index is displaying characteristics of a high-quality up-trend, a constructive developing phase, or a weak / high-risk environment.
Rather than relying on a single indicator or signal, CTS consolidates information from trend structure, momentum conditions, and multi-timeframe alignment into a unified visual scorecard panel on the chart. The goal is to give traders a clear, objective snapshot of where the instrument currently stands in the broader trend hierarchy.
What CTS Helps You Identify
Whether price action reflects true leadership behavior or just short-term strength
When a stock is trending cleanly vs. transitioning / weakening
The quality and durability of the current trend phase
When conditions shift from constructive → strong or strong → vulnerable
A quick, at-a-glance assessment instead of reading multiple indicators manually
CTS is particularly useful for:
> momentum traders
> trend-followers
> position traders
> portfolio screening and strength filtering
> leadership-based stock selection
How the Score Works (High-Level Overview)
CTS evaluates price behaviour across three key pillars:
Trend Structure & Leadership Characteristics
- evaluates whether price structure is consistent with strong trend behaviour
Momentum & Regime Quality
- checks whether momentum supports the prevailing trend environment
Multi-Timeframe Confirmation & Alignment
- validates whether strength is supported across higher-timeframe conditions
Each pillar contributes to an overall 16-point composite score, which is then expressed as a percentage “CTS Strength” reading and a corresponding qualitative verdict (such as High-Quality Up-Trend or Constructive / Watch).
Internal scoring rules and calculation details are proprietary and intentionally abstracted to preserve the design philosophy and intellectual property of the framework.
Scorecard Output Panel
The on-chart panel displays:
> Trend Score
> Momentum Score
> Multi-TF Confirmation Score
> CTS Strength (%)
> Verdict label summarising the current state
Score cell backgrounds use hierarchical colour-grading to provide instant visual context for strength vs. risk conditions. The panel can be positioned or resized via settings, and includes a Light / Dark text-theme option for visibility on any chart background.
Customisation & Display Controls
The CTS Scorecard includes several user-configurable display options to improve usability across different chart layouts and backgrounds:
> Table Positioning - The panel can be placed anywhere on the chart (top-right, top-left, bottom-right, centre positions, etc.) based on user preference.
> Font Size Adjustment - Users can choose from multiple font-size presets to improve readability across different screen sizes and resolutions.
> Light / Dark Mode Text Theme - The indicator includes a selectable text-theme option to ensure optimal visibility on both light and dark chart backgrounds, while retaining consistent scorecard styling.
These controls allow the scorecard to adapt to different workspace setups without affecting the underlying model or scoring behaviour.
Important Notes
> CTS is not a buy/sell signal generator
> It is a trend-assessment and confirmation tool
> It is most effective when combined with:
- price action analysis
- risk management
- broader market context
> Like any analytical model, it should support decision-making — not replace it
> The CTS Scorecard is intentionally designed to work only on the Daily timeframe. When applied on other timeframes, the indicator displays a notice prompting users to switch back to Daily mode.
Best Use Cases
Identify potential leadership-grade stocks
Filter out weak or low-quality trend setups
Avoid participation during deteriorating phases
Track how trend quality evolves over time
Strength-based watchlist and screening workflows
Credits & Philosophy
CTS is built around a price-first, evidence-based trading approach, influenced by institutional trend-following principles and leadership-quality frameworks used by professional momentum and position traders.
The emphasis is on clarity, alignment, discipline, and trend quality over noise.
www.alphasndeltas.in
ICT Finatic: Session Ranges & Macro Alerts (Cristian)This indicator is designed to assist ICT traders by automating the visualization of key session ranges and time-based macro events. It focuses on the Asia and London sessions and provides timely alerts for specific macro times.
Features:
Dynamic Session Ranges (Asia & London):
Instead of simple High/Low of the session, this script identifies Swing Highs and Swing Lows based on a 3-candle fractal pattern (High/Low of the central candle is higher/lower than its neighbors).
It calculates these swings using 15-minute timeframe data (via request.security), ensuring stability regardless of the chart timeframe used.
The lines extend dynamically and update only when a new, more significant swing is formed during the session.
Macro Time Vertical Lines:
The script monitors specific NY-time macros (09:45, 10:15, 10:45, 11:15, 11:45, 12:15).
Pre-warning System: 5 minutes before a macro time occurs (e.g., at 09:40 for the 09:45 macro), a temporary vertical line appears on the future time slot.
Auto-Cleanup: Once the macro time is reached, the vertical line is automatically removed to keep the chart clean. This feature is active on timeframes lower than 1 hour.
Bias Table:
Includes a customizable dashboard to manually input and visualize your directional bias for multiple timeframes (Daily to 5m).
How to use:
Add the indicator to your chart (works best on M1 or M5 timeframes).
Adjust the session times in the settings if needed (Default is NY time).
Use the dashboard to track your daily bias.
Watch for the orange vertical lines appearing 5 minutes before macro events to prepare for potential volatility.
Supply and Demand Zones [Clean v6]Overview
The Supply and Demand Zones indicator is an automated market structure tool designed to identify high-probability Points of Interest (POI) on any asset or timeframe. Built using Pine Script v6, this script focuses on clarity and performance, providing traders with a clutter-free view of where institutional buying and selling pressure has previously occurred.
Unlike crowded indicators that overwhelm the chart, this script dynamically manages zones—drawing new ones as structure forms and automatically removing invalid zones as price breaks through them.
Key Features
Automated Zone Detection: Automatically identifies Supply (Resistance) and Demand (Support) zones based on Swing Highs and Swing Lows.
Dynamic Zone Management: Active zones extend to the right until price interacts with them.
Break of Structure (BOS) Logic: When price violates a zone (closes beyond the invalidation level), the zone is automatically removed and marked as "Broken" to keep the chart clean.
Zig Zag Structure: Includes an optional Zig Zag overlay to visualize market flow, Higher Highs, and Lower Lows.
ATR-Based Sizing: Zone width is calculated using the Average True Range (ATR), ensuring zones adapt to the asset's current volatility.
Pine Script v6: Optimized using the latest array and method functions for speed and stability.
How It Works
Zone Creation: The script looks for Pivot Highs and Lows based on your defined Swing Length.
Supply Zones: Created at Swing Highs.
Demand Zones: Created at Swing Lows.
Zone Width: The height of the box is determined by the ATR multiplied by your Zone Width setting. This ensures the zone covers the "wick" area or the volatility range of the pivot.
Invalidation: If the price closes past the outer edge of a zone (the top of a Supply zone or bottom of a Demand zone), the script detects a break, removes the filled box, and leaves a subtle trace of the broken structure.
How to Use
Trend Following: Use the Zig Zag lines to identify the trend direction. Look for Long entries in Demand zones during an uptrend, and Short entries in Supply zones during a downtrend.
Reversals: Watch for price to react at older, unfilled zones (POIs) that align with major support/resistance levels.
Stop Loss Placement: The outer edge of the zone acts as a natural invalidation point. If price closes beyond it, the setup is typically invalidated.
Settings Guide
Swing Length: Determines the sensitivity of the pivot detection. Lower numbers find more local zones (scalping); higher numbers find major structural zones (swing trading).
Max Zones to Keep: Limits the number of historic zones displayed to prevent chart clutter.
Zone Width (ATR): Adjusts how thick the zones are. Increase this value if you want to capture wider wicks.
Visual Settings: Fully customizable colors for Supply, Demand, Borders, and Zig Zag lines.
Disclaimer
This tool is for informational and educational purposes only. It visualizes past price action and does not guarantee future performance. Always manage your risk appropriately.
SessionVWAP + ORBThis TradingView Pine Script indicator combines two powerful intraday tools:
Multiple Rolling VWAPs: It plots up to four independent rolling (continuous) Volume Weighted Average Prices (VWAPs) with user-defined periods (e.g., 1-hour, 2-hour, 4-hour, daily). These are "anchored" to a customizable session start time and roll forward accurately without daily resets, providing dynamic fair-value benchmarks that react at different speeds (fastest/shortest on top).
Opening Range Breakout (ORB) Zones: It displays the high/low range (with optional background shading and lines) for major global trading sessions — Sydney, Tokyo, London, New York, and US RTH (Regular Trading Hours, starting at 9:30 ET) — over the first configurable minutes (default 30) after each session open, with history for several prior days.
The latest version adds full timezone flexibility (e.g., Chicago, New York, UTC, London, Tokyo, Sydney), automatically adjusting anchor times and session opens.
Use Case
This script is ideal for intraday and day traders (especially in stocks, futures, forex, or indices) seeking confluence between volume-based value areas and session momentum.
VWAP Component: Use the layered rolling VWAPs as dynamic support/resistance. Price above the fastest VWAPs suggests bullish bias; pullbacks to slower VWAPs offer mean-reversion entries. The multi-timeframe view helps gauge short-term vs. longer-term "fair value."
ORB Component: Trade breakouts from major session opening ranges — e.g., buy above the New York ORB high (red line) for momentum longs, or fade failures for reversals. Combine with VWAP (e.g., only take NY ORB longs if price is above session VWAP) for higher-probability filters.
Overall: Overlay on lower timeframes (1-15 min) to spot setups like ORB breakouts aligning with VWAP crosses, or use for risk management (stops beyond ORB extremes). The timezone support makes it versatile for global markets without manual adjustments.
MAG7 Index vs $TICKER$HOW TO USE:
I recommend creating a new layout just for using the indicator, because you should make everything but the indicator invisible, so it is less confusing.
www.tradingview.com
www.tradingview.com
Shadows V2, by ParagonSignals "Shadows" is a momentum indicator with a more “market-structure aware” backbone. Instead of treating raw price as the signal, it builds a cleaner internal series by mixing direction (price change normalized by volatility), activity relative volume), and robust normalization so spikes don’t dominate. That produces a smoothed “base” line that behaves like a filtered price proxy.
On top of that base, it runs a MACD-style momentum read (fast/slow moving averages + signal line). The key difference is the gating: it tries to avoid firing in dead or choppy markets by requiring a minimum regime strength(volatility + volume) plus a minimum trend quality (slope + efficiency/trendiness). Entries are then triggered only when momentum is strong enough relative to a dynamic threshold(it adapts to current conditions), with simple confirmation/cooldown to reduce noise. Exits use hysteresis so it doesn’t flip in and out on tiny wiggles.
Finally, the Quality Score (0–100) is your quick filter: higher score means cleaner conditions and more trustworthy signals; low score usually means chop/noise. The colored lines can be read as a live direction/momentum guide even without the entry/exit markers.
Treat the colored state as the regime-consistent directional bias
Bullish color/state, directional bias (+). Operate in the long domain; avoid contra-signals.
Bearish color/state, directional bias (-). Operate in the short domain; avoid contra-signals.
A rapid state alternation, low directional persistence (chop). Reduce participation and require cleaner confirmation.
Use triggers as discrete state-transition events
L = long-entry event. Valid only when the current state is bullish (alignment condition).
S = short-entry event. Valid only when the current state is bearish.
XL = long-exit event. Treat as a bias/momentum deterioration signal; flatten exposure.
XS = short-exit event. Same logic; flatten exposure.
When state persistence is poor (frequent color flips), treat triggers as low quality: either stand down or only act when the state remains stable for multiple bars.
Never take L against bearish state or S against bullish state; the system is designed around alignment, not mean-reversion.
This keeps the workflow strictly state-driven (colors define the trade domain) and event-driven (L/S enter, XL/XS exit), which is exactly how you avoid noise-induced flipping.
Whale Momentum BarsWhale Momentum Bars is a custom Visual Range Volume Profile (VRVP) for the last N bars that shows total volume only (no POC/VA/VAL). It builds a 55-row volume-by-price histogram (fully adjustable) using a more accurate method: each candle’s volume is distributed across price bins based on the candle’s high/low overlap.
The key idea is filtering: every row’s bar width is normalized to the highest-volume bin in the range. Only bins that reach a user-defined threshold (e.g. 33% or 50% of the max bin) are drawn. Low-volume areas vanish, high-volume nodes stay, and gaps are preserved—so the heavy-volume “whale zones” pop instantly.
You can draw the profile inside the selected range, choose left or right, control the max width (in bars) and offset, and customize color, transparency, and borders.
Optional labels mark the price levels of the top N local peaks (true volume nodes), so you see the most important high-volume levels without labeling adjacent “peak neighbor” bins.
RSI Bull bear thresholds region highlight on priceBullish & bearish relative strength thresholds
Default 61 & 39 RSI
Project Pegasus SpectraProject Pegasus Spectra — Volume-Weighted Core is a dedicated pane-based indicator designed to visualize volume-derived buy/sell pressure, momentum states, and extreme flow events in a clean, professional layout. It translates standard OHLCV data into an orderflow-inspired structure using Pressure Candles, PA-FL Momentum (δ/ATR), an optional momentum heatmap, and optional context markers (Imbalance, Climax, Exhaustion).
The goal is not to generate trade signals, but to provide a stable, low-noise visual framework for understanding pressure, momentum, and intensity across different markets and volatility regimes.
Core Components
1) Pressure Candles (Synthetic Buy / Sell Pressure)
Spectra estimates buy and sell volume within each candle using a price-weighted volume distribution:
Buy volume ≈ volume × (close − low) / (high − low)
Sell volume ≈ volume × (high − close) / (high − low)
From this, synthetic pressure candles are constructed to highlight:
buy vs sell dominance within each bar
gradual pressure shifts
sudden pressure expansions or extremes
Pressure Style
Net – single candle showing net pressure (buy − sell)
Split Buy/Sell – buy pressure above zero, sell pressure below zero (clear dominance view)
Pressure Mode
Raw – fully reactive, unsmoothed pressure
Smooth body + raw wick – candle body is EMA-smoothed, while wicks preserve raw extremes
→ cleaner visuals without hiding pressure spikes
Visual Control
Multiple color presets (Match Palette, Neon, Ocean, Sunset, Classic, Midnight)
Optional fully custom colors
Independent body and wick transparency, allowing pressure to act as a subtle context layer rather than visual noise
2) PA-FL (Price-Adaptive Flow Line) Momentum — δ / ATR
PA-FL is the main flow engine of Spectra.
It computes a volume-adaptive baseline (EMA-style), optionally blended with VWAP, and measures momentum as baseline delta normalized by ATR.
Why δ / ATR?
Makes momentum comparable across:
different symbols
varying volatility regimes
different sessions and market conditions
PA-FL Features
Optional VWAP blend for session anchoring
Adaptive baseline length driven by relative volume
Optional Zero-Lag smoothing (ZLEMA) to reduce delay
Optional clamping to prevent rare spikes from dominating the scale
Visualization
Histogram + Line
Color intensity scales with |δ|
Optional regime tinting (trend vs range) for contextual awareness rather than hard signals
3) Momentum Heat Background (PA-FL Heatmap)
An optional background heatmap driven by |δ / ATR|.
Purpose:
Quickly visualize momentum intensity without reading exact values
Act as a situational backdrop, not a signal layer
Interpretation
Low heat → neutral / balanced phase
Rising heat → momentum expansion
Strong heat → impulse or extreme activity
Fully adjustable via:
minimum / maximum transparency
intensity scaling
gamma contrast
This allows anything from barely visible to clearly readable, depending on preference.
4) Display Normalization (Stable Axis)
When enabled, Pressure and Rolling Delta are normalized into a stable ±100-style range using percentile-based amplitude estimation plus a hard clamp.
Benefits:
consistent pane scaling across sessions and symbols
prevents single outlier bars from stretching the display
cleaner, professional multi-symbol workflows
Normalization affects display only, not internal calculations.
5) Rolling Delta (Optional Context)
An optional, subtle rolling delta line that shows cumulative pressure drift over a defined window.
The visibility scale affects display only and does not alter the underlying delta calculation.
Optional Context Markers (Sparse by Design)
Imbalance Dot
Marks bars where absolute delta exceeds a threshold:
automatic (average |Δ| × factor)
or manual (fixed value)
Use as a context alert, not a standalone entry trigger.
Climax Detector
Flags unusually large buy or sell volume relative to its average.
Typical use cases:
stop-run / liquidation-like activity
momentum kick-offs or exhaustion points
Exhaustion Filter
Combines:
high total volume relative to average
unusually small net delta
Often associated with absorption-like or exhaustion behavior, depending on market context.
Suggested Workflows
Clean Pro Layout
Pressure Candles ON with high transparency
PA-FL Histogram + Line ON
Heatmap ON (subtle)
Normalization ON
More Orderflow-Like Feel
Pressure Style: Split Buy/Sell
Smooth body + raw wick
Optional Climax markers
More Event-Focused Context
Enable Imbalance and Climax sparingly
Use Exhaustion only when specifically analyzing absorption behavior
Important Notes & Disclaimer
Spectra is based on OHLCV-derived volume estimation.
It is not true bid/ask delta, not footprint data, and not time & sales.
All markers and visual elements are informational, not trade signals.
Interpretation depends on symbol, timeframe, session, and data feed.
Always combine with market structure, levels, and risk management.
V-Origin Sovereign OS v1.2 - Market State Perception System V-Origin Sovereign OS v1.2 — Market State Perception System (No Signals)
Description（English）
V-Origin is NOT a buy/sell indicator.
V-Origin Sovereign OS is a market state perception system designed to reveal the current structural condition of the market — not to predict future price.
Instead of traditional lagging indicators, it models:
Market regimes (Consolidation / Expansion / Liquidity Gap)
Conviction clarity (narrative strength vs noise)
Reversion pressure (anti-fake breakout detection)
Internal accumulation bias during compression
The HUD uses a fog / clarity visual system:
Clear visuals = structured, readable market
Heavy fog = noisy, unstable environment
This script does not generate trading signals.
It helps traders decide when to engage, when to reduce risk, and when to stay out.
中文補充
V-Origin 並非買賣指標。
這是一套市場「環境感知作業系統」，用來揭示市場當下的結構狀態，而非預測未來走勢。
系統會即時感知：
市場體制（盤整 / 擴張 / 流動性真空）
敘事確信度（清晰 vs 混亂）
假突破風險（回歸壓力）
盤整期間的內部能量偏向
霧化畫面代表不確定性，而非訊號缺失。
當畫面最清晰時，風險反而最低。
Disclaimer
This script is for educational and analytical purposes only.
It does not constitute financial advice or trading recommendations.
Users are fully responsible for their own decisions and risk management.
Don’t ask this system what to trade.
Ask it whether the market is worth trading at all.
Mid-term RibbonWhat the indicator is meant to tell you
-Mid-term trend direction (bullish vs bearish)
-Trend transitions when the ribbon flips color
-Trend strength (wider ribbon = stronger momentum)
-Helps traders stay in trends longer and avoid chop
Typical use cases
-Trend-following entries and exits
-Filtering trades in the direction of the ribbon
-Visual confirmation for other signals
-Swing trading and position trading
Colors are customizable
Only for educational purposes, no recommendation to buy or sell
Fair Value MatrixConcept & Utility The Fair Value Matrix is a quantitative analysis suite designed to visualize the relationship between an asset's price action and a theoretical valuation model. Unlike standard technical indicators that rely solely on lagging price history, this script integrates a Fundamental Growth Model to project a calculated baseline trajectory derived from sector-specific data and valuation logic.
This tool is intended to assist traders in identifying statistical deviations from this projected baseline, offering a data-driven perspective on whether an asset is trading at a premium or a discount relative to the model's parameters.
Technical Methodology
1. Theoretical Growth Modeling The core of the matrix is a dynamic "Fair Value" curve. This is generated using:
Sector-Specific Growth Logic: The script applies distinct growth parameters adapted for different asset classes (e.g., Technology, Commodities, Utilities) to model theoretical expansion over time.
Dynamic Valuation: It incorporates calculated valuation logic to adjust the slope of the curve, creating a reference point that evolves with time rather than just price action.
2. Statistical Deviation Bands (Volatility Cloud) To quantify market state, the script constructs a "Volatility Cloud" around the fundamental baseline. These bands are not support/resistance lines but statistical probability envelopes calculated using:
Composite Volatility Engine: A proprietary blend of multiple volatility models is used to adapt to changing market conditions.
Statistical Measurement: The bands represent standard deviations from the calculated baseline.
Lower Bands: Represent deviation zones suggesting a statistical discount.
Upper Bands: Represent deviation zones suggesting a statistical premium.
3. Quantitative Inflection Points The script monitors price relative to these bands to generate "Inflection Signals":
Mean Reversion Alerts: Triggered when price deviates significantly from the baseline while showing signs of momentum exhaustion.
Momentum Strength: A composite trend line colors the price action based on the aggregate score of volatility, trend direction, and deviation depth.
4. Deviation Weighting Labels The numeric labels (e.g., "1x", "2x") displayed on the chart represent the magnitude of the statistical deviation at that specific moment. These values are strictly mathematical measurements of distance from the mean and are provided to help users assess the rarity of a specific price move relative to the model.
Disclaimer This script is for informational and educational purposes only. It is a theoretical model based on fixed parameters and historical data analysis. It does not predict future price movements, nor does it guarantee profitability. All trading involves risk.
High Volume Nodes HVNWhat Are High Volume Nodes (HVNs)?
In a volume profile or chips distribution indicator, a high volume node is a price level where a large amount of traded volume has accumulated. This means a lot of “chips” (trading activity) took place at that price.
In simple terms:
HVNs mark prices where buyers and sellers agreed the most, creating heavy trading congestion.
Why Are HVNs Important?
1. Strong Support or Resistance Zones
Because many trades occurred at an HVN, market participants often view that price as “fair value.”
Price tends to slow down, pause, or reverse at HVNs.
2. Mean Reversion Behavior
HVNs tend to act like magnets:
If price moves far away, it often returns to HVN levels to retest them.
3. Balance Areas
An HVN signals that the market spent a lot of time trading at that price, indicating consensus or balance.
How to Use HVNs in Trading
1. Identify Support/Resistance
HVNs often mark durable S/R levels.
Price frequently retests or bounces from HVNs.
2. Detect Trading Ranges
Multiple HVNs clustered together indicate balance zones or accumulation/distribution areas.
3. Target Zones
When price moves away from an HVN, it often:
revisits the HVN (mean reversion), or
moves toward the next HVN in the profile.
Settings
Timeframe (Slices) (Lookback) (Label %)
Daily (50) (80-250) (0.60)
Weekly (40) (180) (0.65)
Monthly (30) (120) (0.70)
Quarterly (25) (70) (0.75)
No financial advice, no buy/sell recommendation. Only for educational purposes
BOS Zones (Order Blocks) [VCAI]BOS Zones (Order Blocks)
BOS Zones (Order Blocks) is a market-structure visualiser that highlights Breaks of Structure (BOS) and automatically marks the price zones formed immediately before the break.
Instead of guessing where structure changed or manually drawing zones, this indicator does the work for you and keeps the chart clean.
What This Indicator Does
• Detects bullish and bearish Breaks of Structure
• Identifies the last opposing candle before the break
• Draws a clear zone (order-block style) from that candle
• Projects the zone forward for future interaction
• Optionally shows midlines for refined price reference
How to Read It
• Bullish BOS
When price breaks above a prior swing high, the indicator marks the last bearish candle before the break and draws a bullish zone.
• Bearish BOS
When price breaks below a prior swing low, the indicator marks the last bullish candle before the break and draws a bearish zone.
These zones often act as areas of interest where price may react, stall, or reverse.
Why This Is Useful
Most traders:
miss structure shifts
draw zones inconsistently
clutter charts with too many lines
BOS Zones gives you:
• Objective structure breaks
• Consistent zone placement
• Clean, readable visuals
• Fewer decisions, less noise
Customisation Options
• Control swing sensitivity
• Limit how many zones are displayed
• Toggle boxes, midlines, and markers
• Automatically clean old zones
Inputs are intentionally limited to avoid over-optimisation.
What This Indicator Is NOT
• No buy or sell signals
• No trade automation
• No prediction or future-looking logic
This is a structure and context tool, designed to support discretionary analysis.
Best Use Cases
• Market structure analysis
• Supply & demand / order block trading
• Confluence with trend tools
• Higher-timeframe bias mapping
Works across Crypto, Forex, Indices, and Commodities.
Final Note
This indicator does not repaint structure breaks once confirmed.
All zones are derived from historical price action only.
deKoder | VWAP | Volume Weighted Average PriceAn advanced, open-source Volume Weighted Average Price indicator with multi-period anchoring, standard deviation bands, previous period value area extension, comprehensive alerts, and enhanced visual context.
This script is a significant upgrade over standard VWAP implementations (including TradingView's built-in VWAP (the basis for this script) and typical community versions). It is designed for experienced intraday, swing, and positional traders who require precise, context-aware mean reference levels with minimal chart clutter.
Key Features & Trading Value
1 | Previous Period Value Area Extension
Automatically extends the prior anchor period's VWAP and ±1σ bands into the current period as reference lines.
Optional translucent fill between the previous ±1σ bands creates a clear "previous value area" zone.
Why it matters : The edges of the prior period's value area often act as dynamic support/resistance or mean reversion zones. This visual persistence eliminates manual drawing and provides immediate context for reactions at prior fair value zones. These are especially powerful on intraday charts when using Daily/Weekly/Quarterly anchors.
2 | Comprehensive Approach Alerts
Configurable proximity-based alerts trigger when price approaches (from either side) any plotted level: current VWAP, all six deviation bands (±1σ, ±2σ, ±3σ), and previous period VWAP/±1σ value area.
Adjustable trigger percentage and minimum bar cooldown prevent alert spam during consolidation.
Why it matters : Enables hands-off monitoring of potential mean reversion setups, deviation extremes, or breakout/rejection candidates without constant screen watching.
3 | Additional Professional-Grade Enhancements
Flexible Anchor Periods : Daily, Weekly, Monthly, Quarterly (default), Yearly, Decade, Century, plus event-based resets (Earnings, Dividends, Splits).
Intelligent Visibility Controls :
Hide entire indicator on selected higher timeframes (1H and above).
Dynamic distance filter removes off-screen levels (based on % from price).
Limit plotting to last X bars for performance and clarity.
Real-Time Info Table :
Displays current anchor, timeframe, and rounded live values for VWAP and all bands, enabling fast access to precise level values for order placement.
Fully customisable position, text size, font (monospace option), and price level decimal rounding.
Right-Side Labels with Tooltips :
Clean, minimal labels at current levels with hover tooltips allow you to quickly identify the level without cluttering the chart.
Customizable Styling :
Independently adjustable colours for VWAP and each deviation band pair.
Offset support for forward/backward shifting.
Recommended Use Cases
Intraday Scalping/Mean Reversion : 5m–15m charts with Daily anchor + previous value area as primary reference.
Swing Entries : Higher timeframes (1H–4H) using Weekly or Quarterly VWAP for bias, with previous quarter's value area as major confluence.
Deviation Trading : Watch for price interaction with ±2σ/±3σ bands combined with approach alerts for potential exhaustion.
Institutional Benchmarking : Quarterly/Yearly anchors approximate common institutional VWAP reset periods.
Additional Notes
Source fixed to hlc3 (industry standard for VWAP).
Enjoy cleaner, more contextual VWAP analysis.
| | deKoder | |
Released December 2025 | Open Source
// IF THIS FREE(!) VWAP SCRIPT — OR ANY OF ITS FRIENDS — HAS HELPED YOU BANK SOME COINS...
// A COFFEE, LUNCH, OR A FEW SATS GOES A LONG WAY TOWARDS KEEPING THE LIGHTS ON
// COFFEE KEEPS THE PINE FLOWING 😉❤️ | FR33FA11
// SOL: 2N8HWPAHSC7Z8SLyneMrZp234UAP9HCtQX7wNXw7LKQC
// ETH: 0xE770D254DC579d1db7bA2fe74376b7009527356B
// BTC: bc1qd8j3awht5yrjtnvt5dagxldzhaesc83sftype3
// POLYGON: 0xE770D254DC579d1db7bA2fe74376b7009527356B
// HYPE: 0xE770D254DC579d1db7bA2fe74376b7009527356B
Precision Structure Pro [BOSWaves]Precision Structure Pro - Multi-Tier Market Structure Execution with HTF Trend Alignment
Overview
Precision Structure Pro is a market analysis system designed to provide traders with structural understanding of price action. The system operates on the principle that markets follow observable patterns that can be systematically identified and interpreted. Precision Structure Pro combines adaptive indicators, dynamic visualizations, and customizable alerts to support both trend-following and contrarian strategies. Each feature translates technical concepts into actionable, on-chart insights, allowing traders to make informed decisions without information overload. The system emphasizes clarity, precision, and adaptability, enabling users to interpret market behavior in real time with risk-aware, disciplined trading practices.
Structural Analysis Engine
At the core of Precision Structure Pro lies the Structural Analysis Engine, a sophisticated framework designed to detect meaningful shifts in market structure with minimal lag and maximum reliability. Traditional swing-based systems merely connect price highs and lows, often generating false signals during periods of noise or minor retracement. Precision Structure Pro's engine goes deeper, analyzing market momentum, volatility, and price clusters to distinguish between genuine structural breaks and minor fluctuations.
The engine employs a configurable lookback period ranging from 5 to 50 bars, allowing traders to calibrate sensitivity based on their preferred timeframe and trading style. Shorter periods produce more frequent signals suitable for scalping and intraday trading, while longer periods generate fewer but more significant structural markers ideal for swing and position trading. This adaptability ensures the system remains relevant across all trading methodologies.
Break of Structure (BOS) Detection
Break of Structure (BOS) signals are provided whenever price decisively moves beyond a previous swing high or low, highlighting potential continuation setups. The system offers two confirmation methodologies: body-based confirmation, which requires candle closes beyond structural levels for conservative validation, and wick-based confirmation, which triggers on price touches for more aggressive entry opportunities. This dual-option approach allows traders to align the tool's sensitivity with their risk tolerance and market conditions.
Use Case 1: Trend Continuation Trading
A trader identifies a pullback within an established uptrend. The dashboard confirms higher timeframe alignment remains bullish despite the short-term retracement. When price breaks back above the pullback structure, the system generates a BOS signal and activates the trade dashboard with entry, stop-loss, and three profit targets. As targets are hit sequentially, the trader takes partial profits while trailing the remainder, combining systematic risk management with the flexibility to capture extended moves.
Change of Character (CHoCH) Recognition
Change of Character (CHoCH) alerts indicate early reversal opportunities, marking the transition from trending to counter-trend behavior before it becomes evident to the naked eye. CHoCH signals emerge when price breaks a structural level counter to the established trend direction, providing advance warning of potential trend exhaustion or reversal. These signals are particularly valuable for identifying market turning points that precede traditional reversal indicators, offering traders strategic positioning advantages for both exits and counter-trend entries.
By combining BOS and CHoCH signals, traders can identify both continuation and reversal scenarios, enabling them to adapt strategies to shifting market conditions without relying solely on lagging indicators. The engine maintains a persistent memory of structural levels, tracking which pivots remain relevant and which have been invalidated by price action, ensuring that only significant structural events generate signals while noise is systematically filtered.
Use Case 2: Counter-Trend Reversal Trading
During an established trend, price breaks structure in the opposite direction, triggering a CHoCH signal. The candles begin changing color to reflect the structural shift. However, the dashboard shows the higher timeframe remains in the original trend direction, alerting the trader to timeframe conflict. This prompts tighter profit management focused on early targets rather than extended holds, as the setup represents a counter-trend opportunity requiring tactical rather than strategic positioning.
Multi-Timeframe Integration
Multi-timeframe integration within the Structural Analysis Engine provides an additional layer of context that dramatically enhances signal reliability. For instance, a BOS signal on a lower timeframe gains significantly more weight when aligned with the trend observed on a higher timeframe. This hierarchical approach allows traders to confirm signals against broader market trends, reducing exposure to false breakouts and enhancing confidence in entries and exits.
The system continuously monitors a user-selected higher timeframe - configurable to any interval from minutes to weekly charts - and compares its structural trend against current timeframe signals. When lower timeframe BOS or CHoCH events align with higher timeframe directional bias, the system validates these as premium opportunities. The on-chart dashboard displays real-time higher timeframe trend status, showing whether the broader context is bullish, bearish, or neutral, providing traders with instant situational awareness without requiring manual chart switching.
Hierarchical Confirmation and Filtering
Traders can enable higher timeframe alignment requirements, which filters out signals that conflict with the dominant trend on larger timeframes. This filtering mechanism significantly reduces false signals during counter-trend noise while preserving high-probability setups that ride institutional momentum. The result is a trading system that respects market hierarchy, acknowledging that larger timeframe structures exert gravitational influence on smaller timeframe movements, and positioning traders on the right side of dominant flows.
The engine is designed to be highly adaptive, factoring in price volatility and recent momentum to filter out noise while emphasizing meaningful structural changes. The result is a system that not only identifies key market turning points but does so in a way that is sensitive to context, volatility, and timeframe alignment, creating a comprehensive structural narrative that evolves with market conditions.
Volatility-Adaptive Stop-Loss Calculation
Managing risk is as important as identifying opportunities, and Precision Structure Pro addresses this through its Volatility-Adaptive Trade Management system. Unlike static stop-loss levels that fail to account for changing market conditions, this system calculates dynamic stop-loss points based on volatility measurements and market structure. The system employs an analysis window that captures current market movement characteristics and serves as the foundation for all risk calculations.
The system employs a multi-layered calculation methodology. First, it establishes a base distance by applying a user-configurable volatility multiplier (0.5 - 5.0x, default 2.0x) to the measured market volatility. This base distance is then scaled by a stop-loss multiplier (0.1-5.0R, default 1.2R) to determine final stop placement. In high-volatility environments - such as during major news events or market opens - stops are adjusted wider to avoid premature exits from normal price oscillation, while in calm, low-volatility periods, stops tighten to prevent unnecessary exposure and improve capital efficiency.
Tiered Take-Profit System
Take-profit levels are tiered into three distinct targets, each calculated as a ratio of the stop-loss distance. The first target typically sits at 0.8R (80% of the risk distance), providing a conservative profit-taking opportunity that's frequently achieved. The second target extends to 1.6R, capturing intermediate moves while maintaining realistic probability. The third target reaches for 2.8R or beyond, designed to capture extended trend moves and maximize profit potential when momentum continues. These ratios are fully customizable, allowing traders to adapt the system to their profit-taking preferences and market characteristics.
This tiered approach enables traders to lock in profits progressively, reducing psychological pressure while allowing portions of positions to capture larger moves. Traders can take partial profits at early targets and move stops to breakeven to create risk-free positions, while letting remaining size run toward final targets or trailing stops. This partial exit strategy dramatically improves trading psychology by removing the binary pressure of all-or-nothing exits, while maintaining exposure to extended moves that generate outsized returns.
Visual Trade Mapping
Visual representations of dynamic levels are overlaid on the chart with sophisticated rendering techniques. Each level features a multi-layer glow effect - a translucent outer layer for ambient visibility, a semi-transparent middle layer for depth, and a solid core line marking precise price levels. Entry levels appear in bright white, stop-loss zones in vibrant red with danger shading, and take-profit levels in neon green with success-themed styling. Risk and reward zones are represented by translucent boxes that span from entry to stop (risk) and entry to final target (reward), providing immediate visual assessment of trade quality without manual calculation.
Dynamic Status Labels
Labels accompany each level, displaying precise price values and status indicators. Take-profit labels show "PENDING" status until price reaches them, at which point they dynamically update to "HIT" with altered styling to celebrate achievement. Stop-loss labels remain prominent throughout the trade, maintaining awareness of maximum risk. This comprehensive visual mapping ensures traders understand trade structure at a glance, facilitating faster decision-making and reducing cognitive load during active trading sessions.
Intelligent Position Sizing Calculator
Position sizing translates risk percentage into actual trade size. Precision Structure Pro includes a position sizing calculator that performs this computation automatically, eliminating manual calculation errors that can lead to over-leverage or inefficient capital utilization.
The calculator employs a standardized formula that works across all asset classes: Position Size equals Account Size multiplied by Risk Percentage, divided by Stop Distance. This calculation automatically accounts for varying instrument characteristics - whether trading cryptocurrencies with multiple decimal places, forex pairs with pip-based measurements, stocks with dollar-based stops, or futures with point-based movements.
Position Sizing Configuration
Traders configure two key parameters: total account size (their available trading capital) and risk percentage per trade (typically 1-2% for conservative risk management). When a trade signal generates, the system instantly calculates the exact number of units, shares, contracts, or coins to trade based on the automatically-determined stop distance. This calculation appears directly in the on-chart dashboard, displaying both the dollar amount at risk and the precise position size.
This functionality ensures consistent risk across all trades - whether stop distance is narrow or wide, position size adjusts to maintain identical dollar risk. It eliminates execution delays caused by manual calculation and prevents common position sizing errors that plague discretionary traders. The position sizing display can be toggled on or off based on user preference.
On-Chart Dashboard Overview
Information overload impairs decision-making, particularly during fast-moving market conditions. Precision Structure Pro's on-chart dashboard consolidates critical market information into a single, scannable interface that provides situational awareness without requiring navigation between multiple indicators or charts.
The dashboard features a hierarchical information architecture designed for rapid comprehension. At the top, a bold status header announces trade state - LONG ACTIVE or SHORT ACTIVE - with color-coded backgrounds matching trade direction. This visual confirmation prevents confusion about current exposure, particularly when managing multiple positions across different instruments.
Dashboard Components
The higher timeframe status section displays the broader market context, showing whether the selected higher timeframe is BULLISH, BEARISH, or NEUTRAL with corresponding color coding. This provides instant confirmation that current trade direction aligns with dominant market structure, or warns when taking counter-trend positions that require tighter management.
The core metrics section presents trade fundamentals in clean, organized rows: direction confirmation, precise entry price, stop-loss level with distance percentage, and three take-profit targets each showing status (PENDING or HIT), price level, and percentage gain from entry. Visual separators organize these sections, creating clear information boundaries that facilitate quick scanning during time-sensitive decisions.
When position sizing display is enabled, the bottom section shows calculated risk amount in dollars and exact position size in trading units. This eliminates the cognitive step of mental calculation, allowing traders to execute positions immediately with confidence in their risk management.
Dashboard Customization
The dashboard supports four positioning options - top-right, top-left, bottom-right, or bottom-left - allowing traders to anchor it in their preferred location based on personal workflow and chart layout. Importantly, the dashboard only appears when an active trade exists, preventing chart clutter during pure analysis phases when no positions are held. This adaptive visibility ensures the interface remains clean and focused, presenting information only when relevant.
Dynamic Candle Coloring
Technical precision means little if the information isn't immediately digestible. Precision Structure Pro employs sophisticated visualization techniques to transform complex structural data into intuitive visual language that communicates market state at a glance.
The system implements dynamic candle coloring that reflects current structural trend. When market structure is bullish - characterized by BOS signals breaking upward - candles render in cyan tones, creating a visual flow that reinforces upward momentum. When structure turns bearish, candles shift to magenta, immediately communicating downward pressure. During transitional or consolidative periods when structure is unclear, candles display in neutral gray, signaling caution and the absence of clear directional bias. This color-coded system allows traders to interpret market character without analyzing individual price bars, dramatically accelerating pattern recognition.
Structural Level Visualization
Structural break events are marked with multi-layered horizontal lines that employ sophisticated rendering techniques. Each structural level features three layers: a wide, highly transparent outer glow creating ambient visibility, a medium-width semi-transparent middle layer adding dimensional depth, and a solid, precise core line marking the exact price level. This gradient effect makes critical levels stand out prominently even on cluttered charts, while maintaining visual elegance and professional aesthetics.
Professional Label System
Labels accompany each structural event with clean, professional text. BOS events are marked simply as "BOS," while CHoCH events receive distinctive "CHoCH" labeling. These labels are positioned intelligently using volatility-based offsets - appearing above price highs for bearish breaks and below price lows for bullish breaks - ensuring they float in whitespace rather than obscuring candles or overlapping with price action. The system limits the number of simultaneously visible labels (configurable from 1 - 10, default 3) to prevent chart clutter, automatically removing the oldest labels as new signals emerge.
Signal Alerts
Real-time monitoring of multiple charts across various timeframes is impractical for discretionary traders. Precision Structure Pro's alert system helps traders track critical market events, even when away from their trading stations.
The system provides distinct alerts for each signal type. Bullish and bearish Break of Structure alerts fire when upward or downward BOS events occur, with alert messages including current entry price and ticker symbol for context. Bullish and bearish Change of Character alerts notify traders of potential reversals, providing warning to either exit existing positions or prepare counter-trend entries. A generic "New Trade Signal" alert triggers on any valid BOS or CHoCH event, useful for traders monitoring multiple instruments simultaneously.
Trade Management Alerts
Trade management alerts operate independently from signal alerts. Take Profit 1, 2, and 3 alerts fire when price reaches each respective target level, prompting traders to execute their planned partial exit strategy. The Stop Loss Hit alert provides critical notification when trades fail, enabling rapid response to adverse movements and preventing extended drawdowns from unmonitored positions.
The system incorporates intelligent alert tracking to prevent notification spam. Each alert type fires once per event - when a profit target is hit, for example, the system sends a single notification rather than repeatedly alerting as price fluctuates around the level. Alert states reset when new trade signals generate, ensuring fresh monitoring for each position.
Alert Delivery
Alerts route through TradingView's native alert infrastructure, providing multiple delivery options. Traders can receive pop-up notifications during active monitoring, email alerts for remote tracking, mobile push notifications through the TradingView app. This provides flexibility for traders to remain connected to market developments regardless of their physical location or monitoring capabilities.
Design Philosophy
Precision Structure Pro emphasizes clarity, adaptability, and risk-aware execution. Every feature - from structural analysis to dynamic visualizations and customizable alerts - is intended to provide insight, not guarantees. Markets are inherently uncertain, and no indicator can predict future price movements with certainty. Rather than promoting false confidence, the toolkit is designed to enhance situational awareness, improve pattern recognition, and streamline execution of sound trading strategies.
Traders are encouraged to integrate toolkit outputs with personal judgment, broader market context, and sound risk management principles. The system excels at identifying structural patterns and managing trade logistics, but ultimate decision authority rests with the trader. This approach fosters a disciplined, systematic mindset that prioritizes high-probability setups, multi-timeframe confluence, and methodical execution over reactive, emotion-driven trading.
Trading Psychology Benefits
The progressive profit-taking system embedded in the tiered take-profit structure addresses a critical psychological challenge: the tension between capturing large moves and avoiding profit give-backs. By systematically reducing position size at early targets while maintaining exposure to extended moves, traders experience regular positive reinforcement that reduces emotional stress and prevents premature exits. This psychological framework promotes patience and discipline, allowing traders to let winners run without the paralyzing fear of watching profits disappear.
Similarly, the volatility-adaptive stop-loss system prevents two common psychological traps: using stops that are too tight (leading to death by a thousand cuts from repeated small losses) and using stops that are too wide (resulting in catastrophic losses that damage both capital and confidence). By anchoring stop distance to current volatility, the system ensures stops are neither arbitrary nor divorced from market reality, promoting acceptance of losses as normal cost of business rather than personal failures.
Final Notes
Precision Structure Pro provides a layered, multi-dimensional perspective of the market, helping traders interpret price action with confidence, refine strategies, and improve trade quality over time. Its combination of adaptive signals, visual clarity, and comprehensive dashboarding creates a system that is both functional and intuitive, enabling both novice and experienced traders to operate efficiently in complex markets. The system supports trader judgment by providing the structural foundation upon which trading decisions are built.
Practical Use & Context
Precision Structure Pro performs best in markets exhibiting clear structural formation with meaningful momentum shifts at key levels. In highly compressed or low-liquidity environments where price drifts without conviction, structural signals may be sparse or unreliable. During extended consolidation with minimal directional variance, the system may generate fewer actionable signals as formation events fail to meet validation thresholds.
The system identifies structural breaks and generates complete trade setups including entry levels, stop-loss placement, and tiered profit targets. For optimal results, traders may choose to combine these signals with additional confirmation tools or filters based on their individual trading methodology and risk tolerance.
Risk Disclaimer
Precision Structure Pro is designed for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss and is not suitable for all investors. Traders should employ proper risk management, never risk more than they can afford to lose, and consider all outputs as advisory information requiring independent verification. All trading decisions should be made with full awareness of market uncertainty and personal risk tolerance. No indicator or system can guarantee profitable trades, and users accept full responsibility for their trading outcomes.
Supertrend ProThis is the Supertrend indicator based on ATR (Average True Range), which is most accepted technical way for such indicator.
Setting menu is fully customizable:
drive.google.com
1. You can change ATR lookback period means how many bars to check. default is 10, you can set it as per you trading style.
2. ATR multiplier is set to 3 by default. You can change it to your preferred value.
3. You can choose your own price reference.
4. Option to enable/disable ATR calculation, Background etc..
Style section is also fully customizable:
drive.google.com
