Range Percentage Analyzer This indicator is a tool for analyzing the market range and trend. It calculates the extent of price movement between a specified starting point and the current price, displaying it as a percentage.
The calculation can be based on a fixed lookback period (e.g., the last 30 candles) or from a fixed start date. It also provides a clear table that shows the general trend in "Trend" mode, and the relative strength of the base and quote currencies of forex pairs (e.g., EURUSD) in "Forex" mode.
User Guide
Calculation Method
This setting determines how the indicator defines the starting point for the calculation.
Lookback Period: In this mode, the indicator uses the last N candles (the number can be specified in the "Lookback Period (bars)" field, maximum 250).
The starting point is "floating," meaning it shifts with each new candle. For example, with a setting of 30, the 30th candle from the current one will always be the starting point.
Date Based: In this mode, the calculation starts from a fixed date and time you select.
This mode is ideal for measuring performance from a specific event (e.g., news, start of a week/month).
Note: If you select a date in "Date Based" mode for which no data is available on the current timeframe (e.g., switching to a very low timeframe), the indicator will automatically use the earliest available candle as the starting point.
Start Date & Time
This setting is only active in "Date Based" mode.
Here you can specify the fixed starting point for the calculation.
The specified time is in the Exchange timezone.
Important limitation: Due to TradingView platform limits, visual elements (box, line) are only drawn for a maximum of 250 candles back.
If the set date is older than this, the calculation still applies to the entire period (from the set date), but the drawing only covers the last 250 candles.
When switching to a higher timeframe, the range may restart from a slightly later bar due to TradingView's bar alignment. For best accuracy, set your timeframe first, then select the start date.
Table Mode
This setting controls what data the information table displays.
Trend: This is the default mode, which works on any symbol (stock, index, crypto, etc.). It displays information related to the trend.
Forex: This is a special mode used to measure the strength of currency pairs.
It only works on symbols with exactly 6 characters (e.g., "EURUSD", "BTCUSD"). It treats the first 3 characters as the base currency (e.g., EUR) and the last 3 as the quote currency (e.g., USD).
If the symbol does not have 6 characters, the table will automatically display in "Trend" mode.
Extremes Trend Row
If this is enabled, the table displays an additional row that determines the trend based on the formation order of the high and low within the analyzed range.
The logic is as follows:
Bullish: Indicated if the low was formed before the high.
(Or if they formed on the same candle, which was a bullish candle).
Bearish: Indicated if the high was formed before the low.
(Or if they formed on the same candle, which was a bearish candle).
Neutral: Indicated if the high and low formed on the same candle, and it was a "doji" candle (close = open).
Upper & Lower Threshold
These settings control the logic for the "Change Trend" and "Forex Display" rows at the top of the table.
They determine when the total percentage change for the entire period is considered "Bullish/Strong", "Bearish/Weak", or "Neutral".
Upper Threshold (%): The percentage value (default 0.1%) above which the indicator considers the change "Bullish/Strong".
Lower Threshold (%): The percentage value (default -0.1%) below which the indicator considers the change "Bearish/Weak".
If the change is between the two, the signal is Neutral.
Range
ZenAlgo - BoxerThe indicator visualizes multi-timeframe VWAP-based range structures (Weekly, Monthly, Quarterly, Semi-Annual, and Yearly).
It computes and projects statistically derived price envelopes for each period, showing where price has traded relative to the corresponding VWAP and its deviations.
This allows visual comparison of how far current price extends from typical value zones within different temporal contexts.
Core Logic
1. VWAP and Standard Deviation Calculation
For each enabled period (week, month, quarter, half-year, year), the script:
Detects the start of the new period (e.g., Monday for weekly, the first day of the month for monthly, etc.).
Initializes cumulative values for price and volume.
Updates them bar-by-bar until the next anchor point occurs.
Computes VWAP (Volume-Weighted Average Price) .
Computes Variance of price around VWAP weighted by volume, from which standard deviation is derived. These metrics reset at each new period start.
The calculation method ensures that the VWAP curve reflects the average transaction price weighted by traded volume , while standard deviation measures the dispersion of trading activity around that mean.
2. Range Box Construction
When a new period begins and sufficient data from the previous one exists:
The script draws a rectangular box extending from the previous period’s VWAP ± N × standard deviation.
N can take fractional steps (0.5 – 10) controlled via user inputs.
Each deviation represents a horizontal boundary capturing incremental probability zones around VWAP.
The box remains visible for the following period, effectively showing statistical footprints of previous ranges .
Boxes can be limited in number (history limit) to control chart clutter.
3. Dynamic VWAP Bands
For the active period, the script also plots live VWAP bands up to ±3 standard deviations:
These bands continuously update within the current period.
Each level (±1σ, ±2σ, ±3σ) can be toggled independently.
Colors and line thickness can be customized per timeframe.
This provides a real-time reference to where price currently trades within its statistical envelope.
4. Timeframe Validation
Each range type is restricted to appropriate resolutions:
Weekly : 5 min – 12 h (except 5 h)
Monthly : 2 h – 3 D
Quarterly : 6 h – 3 D
Semi-Annual : 12 h – 1 D
Yearly : 1 D
This prevents misalignment between anchor intervals and chart compression that would distort VWAP calculations.
5. Color Logic and Rendering
Colors for VWAP lines and deviation bands are user-selectable.
The script applies lightness adjustments (shading) to visually differentiate higher deviations.
Boxes and lines are managed through arrays with automatic cleanup once history limits are exceeded, ensuring stable performance despite the high number of graphical elements.
Interpretation of Values
VWAP line — represents the fair-value mean where the majority of trading occurred during the given period.
Deviation lines or boxes — show how far price deviates from that mean in multiples of standard deviation. (±1σ usually captures typical value area. Beyond ±2σ marks statistically extended territory where mean reversion is more probable under normal conditions.)
Overlaps between periods (e.g., weekly vs monthly) visualize multi-period confluence zones , highlighting price regions consistently valued across horizons.
Added Value over Free Indicators
Most freely available VWAP indicators compute a single continuous VWAP or simple intraday bands.
ZenAlgo – Boxer extends this concept by:
Managing multiple timeframe anchors simultaneously (weekly → yearly).
Drawing historical deviation boxes rather than just live lines, allowing spatial comparison of past value zones.
Offering fine-grained control over which deviation multiples to render (0.5–10).
Automatically enforcing timeframe compatibility to prevent distortion.
Maintaining performance through controlled object lifetimes (limiting stored lines/boxes).
Together, these design choices create a complete statistical range map rather than a single-period indicator.
How to Use
Choose a timeframe matching the intended range (see validation list).
Enable desired periods (e.g., Weekly + Monthly) for combined analysis.
Observe:
Price inside ±1σ → typical trading region.
Price beyond ±2σ → extension; potential mean-reversion area.
Intersections of multiple VWAP ranges → zones of reinforced equilibrium.
Boxes from past periods help identify how value zones migrate over time.
The indicator is purely analytical; it does not issue trading signals or evaluate trend direction.
Interpretation should always be combined with broader context such as market structure or volume analysis.
Limitations and Disclaimers
VWAP and deviation statistics assume stable intra-period volume distribution ; illiquid assets or sparse sessions may distort the result.
On too high or too low resolutions outside recommended ranges, values may appear misaligned due to bar sampling.
The indicator does not predict future movement; it only reflects historical and current price-volume relationships.
Line and box density can become high on extended history settings—adjust history limits for performance.
Summary:
ZenAlgo – Boxer builds a multi-period statistical framework around VWAP, visualizing where price has spent most of its time and how far it currently stands from those centers of value.
It allows traders to contextualize short-term fluctuations within higher-timeframe equilibrium zones in a single visual layer.
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
ZenAlgo - Boxer StocksThis indicator plots multi-period Volume-Weighted Average Price (VWAP) ranges and deviation bands across several timeframes — specifically weekly, monthly, quarterly, semi-annual, and yearly. It is designed to visualize how price evolves relative to statistically weighted value areas within each period, based on both traded price and volume distribution.
Each timeframe layer is drawn independently, using its own cumulative VWAP and standard deviation calculation, and displayed as horizontal ranges aligned precisely with calendar periods. This structure allows the chart to show where price currently trades relative to past value zones and how each higher-timeframe VWAP acts as a dynamic reference for mean reversion or continuation.
Calculation Logic
1. Source and Base Inputs
The indicator uses the average of high, low, and close as its price source.
Stocks reset daily at session open.
2. VWAP and Deviation Computation
For each active timeframe, it accumulates the product of price and volume and divides it by cumulative volume, forming a continuously updated VWAP within that period.
The dispersion of price around VWAP is measured through a volume-weighted variance, converted to standard deviation.
These values form symmetrical bands around the VWAP (±1σ, ±2σ, etc.), describing the statistically typical price spread.
3. Range Drawing and Persistence
When a new period begins (e.g., a new week or month), the script finalizes the previous VWAP and deviation values, fixes them to time coordinates representing the full duration of that completed period, and draws corresponding lines or boxes across the entire range.
The user can control how many historical periods remain visible, ensuring performance and clarity even on high-frequency charts.
Each band can be toggled independently (for example ±1, ±2, ±3 deviations), and colors are adjustable per timeframe.
4. Adaptive Time Anchors
The start of each timeframe is aligned with calendar boundaries.
For stocks, the start time aligns with 9:30 New York time to coincide with market open for NYSE.
Each new anchor triggers a reset of cumulative data and creation of a new VWAP range.
5. Visualization Structure
The weekly layer is drawn first and can optionally display live VWAP bands extending backward for a user-defined number of weeks.
Monthly, quarterly, semi-annual, and yearly layers use the same computation principle but with independent accumulation windows.
The central VWAP line is dashed, while outer deviation levels are drawn as dotted or solid lines depending on their multiplier.
Boxes are rendered for key deviation intervals (e.g., ±2σ) to highlight broader value zones.
Interpretation
The VWAP represents the mean price weighted by traded volume for the given period.
Deviation bands describe statistically typical distance from that mean; outer bands mark less frequent extremes.
When price remains within ±1σ or ±2σ, it suggests balance around fair value.
Repeated touches or breaks beyond outer deviations indicate expansion or compression of volatility relative to prior periods.
Overlaps of VWAPs from multiple timeframes reveal multi-period confluence zones, useful for observing where long-term and short-term value agree or diverge.
Recommended Timeframes by Range Type
Weekly Range
Recommended timeframe: 30m to 12h
Suggested options: 30m, 1h, 2h, 3h, 4h, 6h, 8h, 12h
Using lower timeframes (like 5m) is technically possible, but higher ones provide smoother visualization and better readability.
Monthly Range
Recommended timeframe: 1h to 1D
Suggested options: 1h, 2h, 3h, 4h, 6h, 8h, 12h, 1D
Lower timeframes such as 30m may not display the full monthly range due to TradingView’s bar limits, so use higher TFs for complete coverage.
Quarterly Range
Recommended timeframe: 4h to 1W
Suggested options: 4h, 6h, 8h, 12h, 1D, 1W
Quarterly ranges benefit from higher timeframes to ensure that enough historical data is visible without exceeding chart limits.
Semi-Annual Range
Recommended timeframe: 12h to 1M
Suggested options: 12h, 1D, 1W, 1M
Lower timeframes would require too many bars to load a full six-month range; higher TFs offer a clearer overview.
Yearly Range
Recommended timeframe: 1D to 1M or higher
Suggested options: 1D, 1W, 1M
Yearly ranges often cannot display correctly on low timeframes (e.g. 1h) because of TradingView’s maximum bar limits — for instance, five years of 1h data exceeds 40,000 bars. Use higher TFs for accurate rendering.
Added Value Compared to Common Free VWAP Indicators
Incorporates five independent timeframes simultaneously (week, month, quarter, half-year, year) with exact calendar anchoring and timezone handling.
Calculates volume-weighted deviation for each layer, maintaining consistent statistical scale across assets.
Provides historical box persistence , allowing comparison of completed VWAP structures instead of only current running lines.
Enables selective visibility, bandwidth control, and precise visual differentiation through adjustable colors and line weights.
Limitations and Notes
The indicator does not generate trading signals. It is purely analytical and descriptive.
On very low timeframes or illiquid assets, deviation values may fluctuate if volume data is inconsistent.
Historical boxes are approximate in length for months with fewer than 31 days; this simplification has negligible effect on interpretation.
High visual density may occur when enabling many deviations or timeframes at once; users should limit visible history for performance.
Best Usage Practices
Apply on intraday charts (5–240 min) to study how price interacts with weekly or higher-timeframe VWAP zones.
Observe convergence of VWAPs from multiple periods to locate significant equilibrium levels.
Use outer deviations to frame potential exhaustion or re-entry zones rather than directional predictions.
Combine with independent volume- or structure-based analysis for context.
Killzone Session High/Low Levels [SmartFoxy]Killzone Session High/Low Levels
The Killzone Session High/Low Levels indicator by SmartFoxy provides a complete intraday framework for understanding session-based liquidity, market structure rotation, and breakout behavior across global trading sessions.
It automatically plots the High/Low ranges for each selected session, highlights session killzones, and tracks breakout events with optional alerts.
This tool is designed for traders who rely on session dynamics (Asia, Frankfurt, London, New York) to identify liquidity targets, sweep zones, key ranges, and continuation/reversal opportunities.
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How It Works
The indicator detects the active trading sessions for each day and builds structural High/Low ranges for them:
• Asia Session Range (High/Low);
• Frankfurt Session Range;
• London Session Range;
• New York Session Range;
• Optional custom session (NY Open, or any killzone).
For each session, the script can display:
• Session box or column;
• High/Low levels;
• Labels for every range (H/L);
• True session boundaries using user-defined timezone;
• Auto-extended levels up to the latest candle;
• Break levels after a breakout;
• Conditional removal or recoloring after a level is breached.
This gives traders a clean visual map of session liquidity and how price interacts with it throughout the day.
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Key Features
1. Multiple Global Sessions •➤ Asia, Frankfurt, London, New York, plus one custom session for advanced killzone mapping.
2. Session High/Low Liquidity Levels •➤ Automatic plotting of every session’s High and Low, with optional labels and price markers.
3. Session Boxes or Columns •➤ Two display modes allow traders to visualize the session either as a filled box or a clear vertical column.
4. Breakout Logic & Temporary Levels .
When price breaks a session High/Low:
• Levels can be extended for a selected number of bars
• Or removed instantly after a breakout
• Or recolored to highlight the sweep event
This enables clean identification of liquidity grabs, breakouts, and continuation setups.
5. Alerts for Session Breakouts .
Set alerts when price breaks:
• Any session level
• Only levels formed on the current day
Perfect for traders who want real-time notifications of sweeps or key structure breaks.
6. Full Customization
You can configure:
• Session times;
• Timezone;
• Colors;
• Labels;
• Line styles and widths;
• Breakout behavior;
• Killzone range handling.
Everything is adjustable to match any trading style.
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How to Use
1. Enable the sessions you want to track •➤ Asia, Frankfurt, London, New York, or custom.
2. Choose display mode
Box mode for visual range blocks;
Column mode for clean vertical alignment.
3. Enable High/Low Levels .
These act as liquidity magnets and key rejection zones.
4. Turn on Breakout Levels (optional)
Useful for spotting sweeps and continuation setups.
5. Turn on Alerts if you want notifications when price breaks levels.
6. Use session levels as liquidity reference points .
They work exceptionally well with smart money concepts (SMC), ICT, and intraday structure analysis.
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Why This Indicator Is Useful
Shows exactly where liquidity is placed each session;
Highlights market structure transitions as sessions hand over control;
Helps identify stop hunts, sweeps, reversals, and continuation patterns;
Provides real-time alerts for structural breaks;
Organizes the chart and reduces noise;
Works with any intraday timeframe and any market.
This makes it valuable for scalpers, day traders, and SMC/ICT-style analysts.
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Summary
Killzone Session High/Low Levels delivers a complete, highly customizable intraday mapping system based on global trading sessions.
It clarifies the session structure, reveals liquidity targets, and empowers traders to make confident trading decisions using clean, objective market data.
Session Streaks [LuxAlgo]The Session Streaks tool allows traders to identify whether a session is bullish or bearish on the chart. It also shows the current session streak, or the number of consecutive bullish or bearish sessions.
The tool features a dashboard with information about the session streaks of the underlying product on the chart.
🔶 USAGE
Analyzing session streaks is commonly used for market timing by studying the number of consecutive sessions over time and how long they last before the market changes direction.
We identify a bullish session as one in which the closing price is equal to or greater than the opening price, and a bearish session as one in which the closing price is below the opening price.
Each session is labeled according to its bias (bullish or bearish) and the number of consecutive sessions of the same type that conform the current streak.
🔹 Dashboard
The dashboard at the top shows information about the current session.
Under the "Streaks" header, historical information about session streaks is displayed, divided into bullish and bearish categories.
Number: Total number of streaks.
Median: The average duration of those streaks. We chose the median over the mean to avoid misrepresentation due to outliers.
Mode: The most common streak duration.
As the image shows, for this particular market, there are more bullish streaks than bearish ones. Bullish streaks have an average duration that is longer than that of bearish streaks, and both have the same most common streak duration.
If the current session is bullish and the median streak duration for bullish sessions is three, then we could consider scenarios in which the next two sessions are bullish.
🔶 DETAILS
🔹 Streaks On Larger Timeframes
On timeframes lower than or equal to Daily, the tool identifies each consecutive session, but this behavior changes on larger timeframes.
On timeframes larger than daily, the tool identifies the last session of each bar. Let's use the chart in the image as a reference.
At the top of the image, there is a daily chart where each session corresponds to each candle. One candle equals one day.
In the middle, we have a weekly chart where each session is the last session of each week, which is usually Friday for the Nasdaq 100 futures contract. The levels and labels displayed correspond to the last session within each candle, which is the last day of each week.
The levels and labels on the monthly chart correspond to the last session of each month, which is the last day of each month.
🔹 Gradient Style
Traders can choose between two different color gradients for the session background. Each gradient provides different information about price behavior within each session.
Horizontal: Green indicates prices at the top of the session range and red indicates prices at the bottom.
Vertical: Green indicates prices that are equal to or greater than the open price and red indicates prices that are below the open price of the session.
🔶 SETTINGS
🔹 Dashboard
Dashboard: Enable or disable the dashboard.
Position: Select the location of the dashboard.
Size: Select the dashboard size.
🔹 Style
Bullish: Select a color for bullish sessions.
Bearish: Select a color for bearish sessions.
Transparency: Select a transparency level from 100 to 0.
Gradient: Select a horizontal or vertical gradient.
VWAP Composites📊 VWAP Composite - Advanced Multi-Period Volume Weighted Average Price Indicator
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🎯 OVERVIEW
VWAP Composite is an advanced volume-weighted average price (VWAP) indicator that goes beyond traditional single-period VWAP calculations by offering composite multi-period analysis and unprecedented customization. This indicator solves a common problem traders face: traditional VWAP resets at arbitrary intervals (session start, day, week), but significant price action and volume accumulation often spans multiple periods. VWAP Composite allows you to anchor VWAP calculations to any timeframe—or combine multiple periods into a single composite VWAP—giving you a true representation of average price weighted by volume across the exact periods that matter to your analysis.
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⚙️ HOW IT WORKS - CALCULATION METHODOLOGY
📌 CORE VWAP CALCULATION
The indicator calculates VWAP using the standard volume-weighted formula:
• Typical Price = (High + Low + Close) / 3
• VWAP = Σ(Typical Price × Volume) / Σ(Volume)
This calculation is performed across user-defined time periods, ensuring each bar's contribution to the average is proportional to its trading volume.
📌 STANDARD DEVIATION BANDS
The indicator calculates volume-weighted standard deviation to measure price dispersion around the VWAP:
• Variance = Σ / Σ(Volume)
• Standard Deviation = √Variance
• Upper Band = VWAP + (StdDev × Multiplier)
• Lower Band = VWAP - (StdDev × Multiplier)
These bands help identify overbought/oversold conditions relative to the volume-weighted mean, with high-volume price excursions having greater impact on band width than low-volume moves.
📌 COMPOSITE PERIOD METHODOLOGY (Auto Mode)
Unlike traditional VWAP that resets at fixed intervals, Auto Mode creates composite VWAPs by combining the current period with N previous periods:
• Period Span = 1: Current period only (standard VWAP behavior)
• Period Span = 2: Current period + 1 previous period combined
• Period Span = 3: Current period + 2 previous periods combined
• And so on...
Example: A 3-period Weekly composite VWAP calculates from the start of 2 weeks ago through the current week's end, creating a single VWAP that represents 21 days of continuous price and volume data. This provides context about where price stands relative to the volume-weighted average over multiple weeks, not just the current week.
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🔧 KEY FEATURES & ORIGINALITY
✅ DUAL OPERATING MODES
1️⃣ MANUAL MODE (5 Independent VWAPs)
Define up to 5 separate VWAP calculations with custom start/end times:
• Perfect for anchoring VWAP to specific events (earnings, Fed announcements, major reversals)
• Each VWAP has independent color settings for lines and deviation band backgrounds
• Individual control over calculation extension and visual extension (explained below)
• Useful for tracking multiple institutional accumulation/distribution zones simultaneously
2️⃣ AUTO MODE (Composite Period VWAP)
Automatically calculates VWAP across combined time periods:
• Supported periods: Daily, Weekly, Monthly, Quarterly, Yearly
• Configurable period span (1-20 periods)
• Always up-to-date, recalculates on each new bar
• Ideal for systematic analysis across consistent timeframes
✅ DUAL EXTENSION SYSTEM (Manual Mode Innovation)
Most VWAP indicators only offer "on/off" for extending calculations. This indicator provides two distinct extension options:
🔹 EXTEND CALCULATION TO CURRENT BAR
When enabled, continues including new bars in the VWAP calculation after the defined end time. The VWAP value updates dynamically as new volume enters the market.
Use case: You anchored VWAP to a major low 3 weeks ago. You want the VWAP to continue evolving with new volume data to track ongoing institutional positioning.
🔹 EXTEND VISUAL LINE ONLY
When enabled (and calculation extension is disabled), projects the "frozen" VWAP value forward as a reference line. The VWAP value remains fixed at what it was at the end time, but the line and deviation bands visually extend to current price.
Use case: You want to see how price is behaving relative to the VWAP that existed at a specific point in time (e.g., "Where is price now vs. the 5-day VWAP that existed at last Friday's close?").
This dual system gives you unprecedented control over whether you're tracking a "living" VWAP that incorporates new data or using historical VWAP levels as static reference points.
✅ CUSTOMIZABLE STANDARD DEVIATION BANDS
• Adjustable multiplier (0.1 to 5.0)
• Independent background colors with opacity control for each VWAP
• Dashed band lines for easy visual distinction from main VWAP
• Bands extend when visual extension is enabled, maintaining zone visibility
✅ COMPREHENSIVE LABELING SYSTEM
Each VWAP displays:
• Current VWAP value
• Upper deviation band value (High)
• Lower deviation band value (Low)
• Extension status indicator (Calc Extended / Visual Extended)
• Color-coded for quick identification
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📖 HOW TO USE THIS INDICATOR
🎯 SCENARIO 1: EVENT-ANCHORED VWAP (Manual Mode)
Use case: A stock gaps down 15% on earnings and you want to track where institutions are positioning during the recovery.
Setup:
1. Switch to Manual Mode
2. Enable VWAP 1
3. Set Start Time to the earnings gap bar
4. Set End Time to current time (or leave far in future)
5. Enable "Extend Calculation to Current Bar"
6. Watch how price respects the VWAP as a dynamic support/resistance
Interpretation:
• Price above VWAP = buyers in control since the event
• Price testing VWAP from above = potential support
• Volume-weighted standard deviation bands show normal price range
• Price outside bands = potential exhaustion/mean reversion setup
🎯 SCENARIO 2: MULTI-WEEK INSTITUTIONAL ACCUMULATION ZONE (Auto Mode)
Use case: You trade swing setups and want to identify where institutions have been accumulating over the past 3 weeks.
Setup:
1. Switch to Auto Mode
2. Select "Weekly" period type
3. Set Period Span to 3
4. Enable standard deviation bands
Interpretation:
• 3-week composite VWAP shows the true average institutional entry
• Price bouncing off VWAP repeatedly = strong support (institutions defending their average)
• Price breaking below VWAP on high volume = potential distribution
• Deviation bands contracting = consolidation; expanding = volatility increase
🎯 SCENARIO 3: COMPARING MULTIPLE TIME HORIZONS (Manual Mode)
Use case: You want to see short-term vs medium-term vs long-term VWAP alignments.
Setup:
1. Switch to Manual Mode
2. VWAP 1: Last 5 trading days (blue)
3. VWAP 2: Last 10 trading days (orange)
4. VWAP 3: Last 20 trading days (purple)
5. Enable "Extend Calculation" for all
6. Set different background colors for visual separation
Interpretation:
• All VWAPs aligned upward = strong trend across all timeframes
• Price between VWAPs = finding equilibrium between different trader timeframes
• Short-term VWAP crossing long-term VWAP = momentum shift
• Price rejecting at higher-timeframe VWAP = that timeframe's traders defending their average
🎯 SCENARIO 4: HISTORICAL VWAP REFERENCE LEVELS (Manual Mode)
Use case: You want to see where the 1-month VWAP was at each month-end as static reference levels.
Setup:
1. Switch to Manual Mode
2. VWAP 1: Set to last month's start/end dates
3. VWAP 2: Set to 2 months ago start/end dates
4. VWAP 3: Set to 3 months ago start/end dates
5. Disable "Extend Calculation"
6. Enable "Extend Visual Line Only"
Interpretation:
• Each VWAP represents the volume-weighted average for that complete month
• These become static support/resistance levels
• Price returning to old monthly VWAPs = institutional memory/gap fill behavior
• Useful for identifying longer-term value areas
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🎨 CUSTOMIZATION OPTIONS
GENERAL SETTINGS
• Show/hide labels
• Line style: Solid, Dashed, or Dotted
• Standard deviation multiplier (impacts band width)
• Toggle standard deviation bands on/off
MANUAL MODE (Per VWAP)
• Custom start and end times
• Line color picker
• Background color picker (with transparency control)
• Extend calculation option
• Extend visual option
• Show/hide individual VWAPs
AUTO MODE
• Period type selection (Daily/Weekly/Monthly/Quarterly/Yearly)
• Period span (1-20 periods)
• Line color
• Background color (with transparency control)
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💡 TRADING APPLICATIONS
✓ Mean Reversion: Use deviation bands to identify stretched prices likely to return to VWAP
✓ Trend Confirmation: Price sustained above VWAP = bullish bias; below = bearish bias
✓ Support/Resistance: VWAP often acts as dynamic S/R, especially on higher volume periods
✓ Institutional Positioning: Multi-day/week VWAPs show where large players have established positions
✓ Entry Timing: Wait for pullbacks to VWAP in trending markets
✓ Stop Placement: Use VWAP ± standard deviation as volatility-adjusted stop levels
✓ Breakout Confirmation: Breakouts from consolidation with price reclaiming VWAP = stronger signal
✓ Multi-Timeframe Analysis: Compare short vs long-period VWAPs to gauge momentum alignment
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⚠️ IMPORTANT NOTES
• The indicator redraws on each bar to maintain accurate visual representation (uses `barstate.islast`)
• Maximum lookback is limited to 5000 bars for performance optimization
• Time range calculations work across all timeframes but are most effective on intraday to daily charts
• Standard deviation bands assume volume-weighted distribution; extreme events may violate assumptions
• Auto mode always calculates to current bar; use Manual mode for fixed historical periods
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This indicator is open-source. Feel free to examine the code, learn from it, and adapt it to your needs.
DTR & ATR with live zonesThis indicator is designed to help traders gauge the day's volatility in real-time. It compares the current Daily True Range (DTR)—the distance between the session's high and low—to the historical Average True Range (ATR).
The main purpose is to project potential price levels where the market might reach based on its average volatility. These levels (100% ATR, 150%, 200%, etc.) can be used as price targets. For instance, if you're in a long trade, you might consider taking partial or full profits as the price approaches these upper ATR extension levels. The indicator is highly customisable, allowing you to control the appearance of the ATR lines, zones, and labels to fit your charting preferences.
Core Concepts: ATR and DTR
To use this indicator effectively, it's important to understand its two main components:
Average True Range (ATR): This is a classic technical analysis indicator that measures market volatility. It calculates the average range of price movement over a specific period (e.g., 14 days). A higher ATR means the price is, on average, moving more, while a low ATR indicates less volatility. This script uses a higher timeframe ATR (e.g., Daily) to establish a stable volatility baseline for the current trading day.
Daily True Range (DTR): This is simply the difference between the current trading session's highest high and lowest low (session high - session low). It tells you how much the price has actually moved so far today.
The indicator's logic revolves around comparing the live, unfolding DTR to the historical, baseline ATR. An on-screen table conveniently shows this comparison as a percentage, to show how volatile the day has been.
How It Works: The Dynamic & Locked Mechanism
The most clever part of this indicator is how it draws the ATR levels. It operates in two distinct phases during the trading session:
Phase 1: Dynamic Expansion (Before DTR meets ATR)
At the start of the session, the DTR is small. The indicator calculates the remaining range needed to "complete" the 100% ATR level (difference = avg_atr - dtr). It then adds this remaining amount to the session high and subtracts it from the session low. This creates a "floating" 100% ATR range that expands dynamically as the session high or low is extended.
Phase 2: The Lock-in (After DTR meets or exceeds ATR)
Once the day's range (DTR) becomes equal to or greater than the avg_atr, the day has met its "expected" volatility. At this point, the levels lock in place. The indicator intelligently determines the anchor point for the locked range.
Once this primary 100% ATR range is established (either dynamically or locked), the script projects the other levels (150%, 200%, 250%, and 300%) by adding or subtracting multiples of the avg_atr from this base.
How to Use It for Trading
The primary use of this indicator is to set logical, volatility-based price targets.
Setting Profit Targets: If you enter a long position, the upper ATR levels (100%, 150%, 200%) serve as excellent areas to consider taking profits. A move to the 200% or 250% level often signifies an overextended or "exhaustion" move, making it a high-probability exit zone. For short positions, the lower ATR levels serve the same purpose.
Assessing Intraday Momentum: The on-screen table tells you how much of the expected daily range has been used. If it's early in the session and the DTR is only at 30% of the ATR, you can anticipate more significant price movement is likely to come. Conversely, if the DTR is already at 150% of ATR, the bulk of the day's move may already be complete.
Mean Reversion Signals: If the price pushes to an extreme level (e.g., 250% ATR) and shows signs of stalling (e.g., bearish divergence on an oscillator), it could signal a potential reversal or pullback, offering an opportunity for a counter-trend trade.
Key Settings
ATR Length & Smoothing Type: These settings control how the baseline ATR is calculated. The default 14 period and RMA smoothing are standard, but you can adjust them to your preference.
Session Settings: This is crucial. You must set the Market Session and Time Zone to match the primary trading hours of the asset you are analysing (e.g., "0930-1600" for the NYSE session).
Show Lines / Show Labels / Show Zones: The script gives you full control over the visual display. You can toggle each ATR level's lines, labels, and background zones individually to avoid a cluttered chart and focus only on the levels that matter to your strategy.
Renko BandsThis is renko without the candles, just the endpoint plotted as a line with bands around it that represent the brick size. The idea came from thinking about what renko actually gives you once you strip away the visual brick format. At its core, renko is a filtered price series that only updates when price moves a fixed amount, which means it's inherently a trend-following mechanism with built-in noise reduction. By plotting just the renko price level and surrounding it with bands at the brick threshold distances, you get something that works like regular volatility bands while still behaving as a trend indicator.
The center line is the current renko price, which trails actual price based on whichever brick sizing method you've selected. When price moves enough to complete a brick in the renko calculation, the center line jumps to the new brick level. The bands sit at plus and minus one brick size from that center line, showing you exactly how far price needs to move before the next brick would form. This makes the bands function as dynamic breakout levels. When price touches or crosses a band, you know a new renko brick is forming and the trend calculation is updating.
What makes this cool is the dual-purpose nature. You can use it like traditional volatility bands where the outer edges represent boundaries of normal price movement, and breaks beyond those boundaries signal potential trend continuation or exhaustion. But because the underlying calculation is renko rather than standard deviation or ATR around a moving average, the bands also give you direct insight into trend state. When the center line is rising consistently and price stays near the upper band, you're in a clean uptrend. When it's falling and price hugs the lower band, downtrend. When the center line is flat and price is bouncing between both bands, you're ranging.
The three brick sizing methods work the same way as standard renko implementations. Traditional sizing uses a fixed price range, so your bands are always the same absolute distance from the center line. ATR-based sizing calculates brick range from historical volatility, which makes the bands expand and contract based on the ATR measurement you chose at startup. Percentage-based sizing scales the brick size with price level, so the bands naturally widen as price increases and narrow as it decreases. This automatic scaling is particularly useful for instruments that move proportionally rather than in fixed increments.
The visual simplicity compared to full renko bricks makes this more practical for overlay use on your main chart. Instead of trying to read brick patterns in a separate pane or cluttering your price chart with boxes and lines, you get a single smoothed line with two bands that convey the same information about trend state and momentum. The center line shows you the filtered trend direction, the bands show you the threshold levels, and the relationship between price and the bands tells you whether the current move has legs or is stalling out.
From a trend-following perspective, the renko line naturally stays flat during consolidation and only moves when directional momentum is strong enough to complete bricks. This built-in filter removes a lot of the whipsaw that affects moving averages during choppy periods. Traditional moving averages continue updating with every bar regardless of whether meaningful directional movement is happening, which leads to false signals when price is just oscillating. The renko line only responds to sustained moves that meet the brick size threshold, so it tends to stay quiet when price is going nowhere and only signals when something is actually happening.
The bands also serve as natural stop-loss or profit-target references since they represent the distance price needs to move before the trend calculation changes. If you're long and the renko line is rising, you might place stops below the lower band on the theory that if price falls far enough to reverse the renko trend, your thesis is probably invalidated. Conversely, the upper band can mark levels where you'd expect the current brick to complete and potentially see some consolidation or pullback before the next brick forms.
What this really highlights is that renko's value isn't just in the brick visualization, it's in the underlying filtering mechanism. By extracting that mechanism and presenting it in a more traditional band format, you get access to renko's trend-following properties without needing to commit to the brick chart aesthetic or deal with the complications of overlaying brick drawings on a time-based chart. It's renko after all, so you get the trend filtering and directional clarity that makes renko useful, but packaged in a way that integrates more naturally with standard technical analysis workflows.
ZZ RangeHappy Trading!
This is a real-time range detection indicator. Based on previous supply and demand levels, it classifies each new bar as Up, Down, or Range.
New supply and demand levels are typically detected within two bars. The indicator can be used as a filter and supports indicator-on-indicator functionality.
Intro
Concept
Usage and Settings Menu
Declaration for TradingView House Rules on Script Publishing
Disclaimer
1. Concept
Based on a variation of the Bilson-Gann Algorithm, this indicator calculates local supply and demand levels and determines whether the current price is:
Between those levels → Ranging
Above → Uptrending
Below → Downtrending
Less significant supply and demand levels are filtered out using a user-adjustable intensity setting.
2. Usage and Settings Menu
There are four settings available:
Indicator Timeframe – Display results from higher timeframes on the lower timeframe chart.
Range Detection Rule – Choose whether a bar must be fully inside supply and demand zones to be considered ranging, or if touching the zone is sufficient.
Bar Structure Basis – Select whether wicks or bodies of bars are used to calculate supply and demand levels.
Rule to set S&D – Choose among three rules defining how often new supply and demand levels are calculated. Each rule adjusts the sensitivity and responsiveness of detection.
Alert Signals Available:
Trend Signal 1 = Uptrend, 0 = Ranging, -1 = Downtrend
last supply Level
last demand Level
3. Declaration for TradingView House Rules on Script Publishing
The unique feature of ZZ Range is its real-time range detection capability.
This script is closed-source and invite-only, to support and compensate for months of development work.
4. Disclaimer
Trading involves risk, and losses can and do occur. This script is intended for informational and educational purposes only. All examples are hypothetical and not financial advice.
Decisions to buy, sell, hold, or trade securities, commodities, or other assets should be based on the advice of qualified financial professionals. Past performance does not guarantee future results.
Use this script at your own risk. It may contain bugs, and I cannot be held responsible for any financial losses resulting from its use.
Cheers!
3/4-Bar GRG / RGR Pattern (Conditional 4th Candle)This indicator can be used to identify the Green-Red-Green or Red-Green-Red pattern.
It is a price action indicator where a price action which identifies the defeat of buyers and sellers.
If the buyers comprehensively defeat the sellers then the price moves up and if the sellers defeat the buyers then the price moves down.
In my trading experience this is what defines the price movement.
It is a 3 or 4 candle pattern, beyond that i.e, 5 or more candles could mean a very sideways market and unnecessary signal generation.
How does it work?
Upside/Green signal
Say candle 1 is Green, which means buyers stepped in, then candle 2 is Red or a Doji, that means sellers brought the price down. Then if candle 3 is forming to be Green and breaks the closing of the 1st candle and opening of the 2nd candle, then a green arrow will appear and that is the place where you want to take your trade.
Here the buyers defeated the sellers.
Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4.
Important - We need to enter the trade as soon as the price moves above the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close. Ignore wicks.
I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market.
I call it the +-+ or GRG pattern.
Stop loss can be candle 2's mid for safe traders (that includes me) or candle 2's body low for risky traders.
Back testing suggests that body low will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster.
Downside/Red signal
Say candle 1 is Red, which means sellers stepped in, then candle 2 is Green or a Doji, that means buyers took the price up. Then if candle 3 is forming to be Red and breaks the closing of the 1st candle and opening of the 2nd candle then a Red arrow will appear and that is the place where you want to take your trade.
Sometimes candle 3 falls short but candle 4 breaks candle 1's closing and candle 2's opening price. We can enter on candle 4.
We need to enter the trade as soon as the price moves below the candle 1 and 2's body and should not wait for the 3rd or 4th candle to close.
I have restricted it to 4 candles and that is all that is needed. More than that is a longer sideways market.
I call it the -+- or RGR pattern.
Stop loss can be candle 2's mid for safe traders ( that includes me) or candle 2's body high for risky traders.
Back testing suggests that body high will be useless and result in more points in loss because for the bigger move this point will not be touched, so why not get out faster.
Important Settings
You can enable or disable the 4th candle signal to avoid the noise, but at times I have noticed that the 4th candle gives a very strong signal or I can say that the strong signal falls on the 4th candle. This is mostly a coincidence.
You can also configure how many previous bars should the signal be generated for. 10 to 30 is good enough. To backtest increase it to 2000 or 5000 for example.
Rest are self explanatory.
Pointers
If after taking the trade, the next candle moves in your direction and closes strong bullish or bearish, then move SL to break even and after that you can trail it.
If a upside trade hits SL and immediately a down side trade signal is generated on the next candle then take it. Vice versa is true.
Trades need to be taken on previous 2 candle's body high or low combined and not the wicks.
The most losses a trader takes is on a sideways day and because in our strategy the stop loss is so small that even on a sideways day we'll get out with a little profit or worst break even.
Hold targets for longer targets and don't panic.
If last 3-4 days have been sideways then there is a good probability that day will be trending so we can hold our trade for longer targets. Target to hold the trade for whole day and not exit till the day closes.
In general avoid trading in the middle of the day for index and stocks. Divide the day into 3 parts and avoid the middle.
Use Support/Resistance, 10, 20, 50, 200 EMA/SMA, Gaps, Whole/Round numbers(very imp) for identifying targets.
Trail your SL.
For indexes I would use 5 min and 15 min timeframe.
For commodities and crypto we can use higher timeframe as well. Look for signals during volatile time durations and avoid trading the whole day. Signal usually gives good targets on those times.
If a GRG or RGR pattern appears on a daily timeframe then this is our time to go big.
Minimum Risk to Reward should be 1:2 and for longer targets can be 1:4 to 1:10.
Trade with small lot size. Money management will happen automatically.
With small lot size and correct Risk-Re ward we can be very profitable. Don't trade with big lot size.
Stay in the market for longer and collect points not money.
Very imp - Watch market and learn to generate a market view.
Very imp - Only 4 candles are needed in trading - strong bullish, strong bearish, hammer, inverse hammer and doji.
Go big on bearish days for option traders. Puts are better bought and Calls are better sold.
Cluster of green signals can lead to bigger move on the upside and vice versa for red signals.
Most of this is what I learned from successful traders (from the top 2%) only the indicator is mine.
EMA Dual with SL/TP ATR basedDouble EMA with cross and direction display.
Calculate stop loss / take profit based on ATR
If entering is not in the recognize direction also SL/TP is display (inversed values)
SL is 2xATR and TP is 4xAT by default - can be change
Also, SL/TP can be calculated at cross or at actual - see the table.
Sessions [Trade Tribe HQ]Color-coded session ranges with ADR% labels to help you trade smarter, not harder.
This tool marks New York, London, Tokyo, and Sydney sessions, showing their ranges, highs/lows, VWAPs, and ADR%.
🔹 Key Features
Colored session boxes (NY, London, Tokyo, Sydney)
Session highs & lows, VWAP, and trendlines
Dashboard showing active sessions, volume, and %ADR
ADR% labels at session close
🔹 How It Helps
Spot session traps, moves, and reversals faster
Manage expectations using ADR% (no chasing over-extended moves)
Identify overlap zones (London → NY) for volatility spikes
Simplify cycle tracking across global markets
Market Sessions Marker—making it easy to see where the energy has been spent and where opportunity is building next.
Created with ❤️ by TraderChick – part of the Trade Tribe HQ community.
If you found this tool useful, check out my profile for more strategies, classes, and resources.
Total Points Range by exp3rtsThis indicator measures and displays the true intraday movement of a market by approximating tick-level activity using 1-second data aggregation. Instead of only looking at net candle movement, it sums every price change during a session, giving traders a more accurate picture of market effort and volatility.
Total Points Moved (TPM) – Captures the full distance traveled by price, not just the net gain/loss.
Bullish vs. Bearish Movement – Separates upward and downward moves so you can see who dominated the session.
Custom Sessions – Define your own session start/end times and time zone for precise tracking.
End-of-Session Summary – Automatically plots a label at session completion with totals for TPM, bullish, and bearish movement.
Visual Session Highlighting – Background shading makes it easy to see when the chosen session is active.
This tool is useful for:
Understanding the true effort vs. result of price movement
Comparing volatility across sessions
Identifying whether bulls or bears contributed more to market swings
Supporting order flow and tick-based trading strategies
Trend Heat Meter by JaeheePurpose
A compact, overlay gauge that shows where the current close sits within the last 50 bars’ high-low range. It converts price position into a 0–100% “heat” scale and renders a vertical gradient from Frozen (low end) to Overheated (high end).
How it works
• Looks back 50 bars to get highest(high, 50) and lowest(low, 50).
• Normalizes the current close into a percentile: (close − low) / (high − low) * 100.
• Draws a vertical cold→hot bar at the right side of the chart, with a pointer and a fixed-width percentage readout (two decimals) to avoid jitter.
• Labels the extremes as Overheated (top) and Frozen (bottom).
• The script is an overlay and does not modify candles or generate orders.
What makes it different
• Pure position metric: No EMA smoothing or oscillation math. It’s a direct percentile of price inside a rolling range, so interpretation is immediate.
• Jitter-free readout: Fixed-width numeric formatting keeps the value visually stable as price ticks.
• High signal legibility: A single, color-coded “thermometer” avoids multi-plot clutter and works well on any chart style.
• Non-repainting logic: Uses only in-bar values and a rolling 50-bar window; no future bars are referenced.
Inputs
• Use Black Text (White→Black): Switches label/pointer text from white to black for dark or light chart themes.
(Length and visual rows are internally set to 50 and 21 for a consistent footprint.)
Practical use
Trend context
• >70% = price is trading near the upper segment of its recent range → bullish pressure / “hot.”
• <30% = price is trading near the lower segment of its recent range → bearish pressure / “cold.”
Confluence
• Combine with your entry method (structure breaks, OB/FVG, KZ sessions, etc.).
– Prefer long setups when the meter stays >50% and rising.
– Prefer short setups when the meter stays <50% and falling.
Risk management
• Treat extreme reads (>85% or <15%) as potential exhaustion zones inside ranges; wait for confirmation before fading.
Timeframes & markets
• Works on any timeframe and symbol. Large-cap, liquid instruments typically provide the cleanest read.
Notes and limitations
• The meter shows relative position, not momentum or volatility. Pair it with your preferred filters for full trade qualification.
• It does not produce buy/sell signals, alerts, or TP/SL levels.
• Visual table draws only on the last bar for efficiency.
Compatibility
• Pine Script® v6
• Overlay: true
Disclaimer
This script is for educational purposes only and is not financial advice. Trading involves risk. Test on a demo and use proper risk management.
ORB Pro w/ Filters + Debug + ORB Fib + Golden Pocket + HTF Trend🚀 ORB Pro – Advanced Opening Range Breakout System
A professional ORB indicator with built-in filters, retest confirmation, EMA/HTF trend alignment, and automatic risk/reward targets. Designed to eliminate false breakouts and give traders clean LONG/SHORT signals with Fibonacci and debug overlays for maximum precision.
This script is an advanced Opening Range Breakout (ORB) system designed for futures, indices, and options traders who want more precision, cleaner entries, and higher win probability. It combines classic ORB logic with modern filters, Fibonacci confluence, and higher-timeframe trend confirmation.
The indicator automatically:
Plots the ORB box based on user-defined NY session times (default: 9:30–9:45 EST).
Generates long/short signals when price breaks the ORB range, with optional conditions like:
Candle close outside the range
Retest confirmation (with tolerance %)
Volume spike validation
EMA trend alignment
Higher-timeframe EMA slope alignment
Cooldown filters to prevent over-trading
Integrates Fibonacci retracements & extensions from the ORB box for confluence levels.
Includes Golden Pocket (0.5–0.618) retests for precision entries
Risk/Reward visualization — automatically plots stop loss and take profit levels based on user-defined R:R or fixed % levels.
Debug mode overlay to show why a signal is blocked (e.g., low volume, ORB too small, too late, wrong trend).
This tool is built for scalpers, day traders, and 0DTE options traders who need both flexibility and discipline.
⚙️ Inputs & Features
ORB Settings
ORB Start & End Time (NY) → Default: 9:30–9:45
Require Candle Close → Ensures breakouts are confirmed, not wick traps.
Retest Confirmation → Optional retest before entry (tolerance % adjustable).
Filters
Volume Spike → Validates breakouts only with above-average volume.
EMA Trend Filter → Confirms trade direction with EMA slope.
Higher Timeframe Trend → Optional (e.g., 15m ORB with 1h EMA alignment).
Cooldown Bars → Prevents consecutive false signals.
ORB Size Filter → Blocks signals when ORB is too small/too large.
Fibonacci Levels
Retracements: 0.236, 0.382, 0.5, 0.618, 0.786
Extensions: 1.272, 1.618
Golden Pocket Retest filter for high-probability trades
Risk Management
R:R Stops/Targets → Automatically plots SL/TP levels.
Custom Stop % / Take Profit % if not using R:R
Debug Overlay → Explains why signals are blocked
🧑💻 How to Use
Load the indicator on your chart (works best on 1m, 5m, and 15m).
Adjust ORB window (default 9:30–9:45 EST).
Select filters (candle close, retest, volume, EMA, HTF trend).
Watch for Long/Short labels outside ORB box with filters aligned.
Manage trades using plotted SL/TP levels or your own Webull/R:R calculator.
✅ Best Use Cases
Futures (NQ1!, ES1!)
ETFs (QQQ, SPY, IWM)
0DTE Options Trading
Scalping around market open
⚠️ Disclaimer
This tool is for educational purposes only. It does not constitute financial advice. Trading carries risk, and past performance does not guarantee future results. Always test on paper trading before using real capital.
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ORB Pro w/ Filters + Debug + ORB Fib + Golden Pocket + HTF Trend
A professional Opening Range Breakout (ORB) toolkit designed for intraday traders who want precision entries, risk-managed exits, and layered confirmation filters. Built for futures, stocks, and ETFs (e.g. NQ, ES, QQQ).
🔎 Core Logic
This script plots and trades breakouts from the Opening Range (9:30 – 9:45 NY time), then applies multiple confirmation filters before signaling a LONG or SHORT setup:
ORB Box: Defines the first 15 minutes of market activity (customizable).
Breakout Candle Confirmation: Requires a candle close outside the ORB box.
Retest Confirmation: Price must retest the ORB edge within tolerance before triggering.
Trend Filter: EMA confirmation to align trades with intraday trend.
Higher-Timeframe Trend Filter: Optional (default: 45-minute EMA) to avoid countertrend trades.
Fibonacci Levels: Auto-plot retracements (0.236 → 0.786) for confluence and trade management.
Golden Pocket Retest (Optional): Adds an extra precision filter at 0.5–0.618 retracement.
⚙️ Default Settings (Optimized for Beginners)
These are the pre-configured inputs so traders can load and trade immediately:
ORB Session: 9:30 – 9:45 NY
✅ Require Candle Close Outside ORB
✅ Require Retest Confirmation (tolerance 0.333%)
❌ Require Volume Spike (off by default, optional toggle)
✅ Require EMA Trend (50 EMA intraday)
✅ Require Higher-TF Trend (45m, EMA 21)
❌ Higher-TF EMA slope required (off)
✅ Cooldown Between Signals (10 bars)
ORB % Range: Min 0.3%, Max 0.5%
Max Minutes After ORB: 180
✅ ORB-based Risk/Reward Stops & Targets (default: 2R)
Stop Loss: 0.5% (if not R:R)
Take Profit: 1% (if not R:R)
✅ Debug Overlay (shows why signals are blocked)
✅ Fibonacci Retracements Plotted
❌ Extensions (off by default, toggle if needed)
✅ Golden Pocket Retest available, tolerance 0.11 (optional)
📈 Signals
Green "LONG" Label: Valid breakout above ORB with trend confirmation.
Red "SHORT" Label: Valid breakdown below ORB with trend confirmation.
Blocked (debug text): Signal suppressed by filters (low volume, too late, no retest, etc.).
🎯 Trade Management
Default R:R is 2:1 (stop at ORB edge, TP projected).
For manual trading (e.g., Webull, IBKR), you can use the plotted TP/SL boxes directly.
Fibonacci + Golden Pocket give additional profit-taking levels and retest filters.
✅ Best Practices
Use 15m chart for main ORB entries.
Confirm direction with HTF trend (45m EMA by default).
Avoid signals blocked by “Low Volume” or “Too Late” (debug helps identify).
Adjust ORB % range for asset volatility (tight for ETFs, wider for futures).
🚀 Why ORB Pro?
This is more than a standard ORB indicator. It’s a professional breakout system with filters designed to avoid false breakouts, automatically handle risk/reward, and guide traders with clear visual signals. Perfect for both systematic day traders and discretionary scalpers who want structure and confidence.
👉 Recommended starting point:
Load defaults → trade the 15m ORB with EMA + HTF filters on → let the script handle retests and stop/target placement.
Time Range by exp3rtsTime Window highlights a custom time range directly on your chart, helping you focus on specific market sessions or trading hours.
Key Features:
Highlights a custom time range with a shaded background
Fully adjustable start and end time (hour & minute)
Supports multiple time zones (e.g., GMT, UTC, Europe/Berlin)
Optional market color shading inside the window (bull/bear neutral tone)
Use Cases:
Mark London Open, New York Session, or any session overlap
Focus on high-probability trading hours
Visualize your backtesting timeframe or algo activity window
Track premarket or after-hours activity for futures or indices
Customization:
Set the beginning and end time in your local or exchange time zone
Choose your timezone string (e.g., "GMT", "Etc/UTC", "America/New_York")
Automatically colors candles in the time window for easy visibility
Atlantean Sideways / Range Regime DetectorPurpose
When using trend based indicators, you can skip the false signals when there is a sideways action, protecting you from the false signals.
Flags likely sideways/range phases using three checks:
Weak trend (ADX from DMI)
Price compression (Bollinger Band Width, normalized)
Low volatility (NATR = ATR/Price%)
Logic
isSideways = (ADX < adxThresh) AND (bbNorm < 0.25) AND (NATR < natrMax)
When true: bars + background turn teal and a provisional Range High/Low (rolling rangeWin) is drawn.
Key Inputs
DMI: diLen(22)
Optimized for 15 mins Bitcoin, could change it to 14 for more general approach
ADX: adxSmooth(14), adxThresh(18)
Volatility: lenATR(14), natrMax(1.8)
Visuals: rangeWin(20), bar/range toggles
Quick Tuning
More signals: raise adxThresh to 20–25, raise natrMax to 2.5–4.0, increase BB cutoff by editing bbNorm < 0.25 --> 0.35–0.50.
Smoother range lines: increase rangeWin to 30–40.
Use Cases
Mean reversion inside teal ranges.
Breakout prep when price closes outside the drawn range after teal ends. Could be used as a signal although not suggested.
Filter trend systems: skip trades when sidewaysCond is true. This is the main purpose, for it to be combined with trend based indicators, like Supertrend.
Alert
“Sideways Detected” triggers when isSideways is true.
Script could be expanded upon your requests.
Opening Candle Zone with ATR Bands by nkChartsThis indicator highlights the opening range of each trading session and projects dynamic ATR-based zones around it.
Key Features
Plots high and low levels of the opening candle for each new daily session.
Extends these levels across the session, providing clear intraday support and resistance zones.
Adds ATR-based offset bands above and below the opening range for volatility-adjusted levels.
Customizable colors, ATR length, and multiplier for flexible use across markets and timeframes.
Adjustable session history limit to control how many past levels remain on the chart.
How to Use:
The opening range high/low often acts as strong intraday support or resistance.
The ATR bands give an adaptive volatility buffer, useful for breakout or mean-reversion strategies.
Works on any market with clear session opens.
This tool is designed for traders who want to combine session-based price action with volatility insights, helping identify potential breakouts, reversals, or consolidation areas throughout the day.
⚠️ Disclaimer: This indicator is for educational purposes only. It does not provide financial advice or guarantee profits. Always perform your own analysis before making trading decisions.
88-Key Piano Range - Musical Price Levels88-Key Piano Range - Musical Price Levels
Description:
Explore price analysis through musical harmony! This educational indicator maps price movements to the standard 88-key piano keyboard (A0 to C8), offering a creative way to visualize market ranges and explore harmonic price relationships with authentic keyboard-style background fills.
🎹 KEY FEATURES:
• Complete 88-Key Mapping - Full piano range from A0 to C8 mapped to your price range
• Piano-Style Visual Design - Clean background fills distinguishing white keys, black keys, and octaves
• Dual Anchor System - Set two time/price points to define your analytical range
• Flexible Display Options - Show all 88 keys, octaves only (C notes), or custom selections
• Harmonic Exploration - Explore consonant/dissonant key relationships based on music theory
• Real-time Price Note - See what musical note your current price represents
• Customizable Interface - Adjust colors, line widths, fills, and visual elements
🎵 EDUCATIONAL CONCEPTS:
• Octave Levels - C notes as harmonic reference points (similar to round numbers)
• Key Classifications - Natural notes (white keys) vs chromatic notes (black keys)
• Harmonic Intervals - Musical relationships applied to price analysis
• Creative Visualization - Alternative way to view price ranges and movements
⚙️ HOW TO USE:
1. Select Your Price Leg - Choose an upleg, downleg, or significant price movement to explore
2. Set Anchor A - Place at the start of your selected leg (swing low for upleg, swing high for downleg)
3. Set Anchor B - Place at the end of your selected leg (swing high for upleg, swing low for downleg)
4. Configure Display - Select all keys, octaves only, or enable background fills
5. Explore Harmonics - Enable harmony coloring to see musical relationships
6. Study Patterns - Observe how price movements align with musical intervals
🎼 CREATIVE APPLICATIONS:
• Experimental Analysis - Try a musical approach to leg analysis
• Educational Tool - Learn about mathematical relationships in both music and markets
• Alternative Perspective - View support/resistance through a musical lens
• Pattern Recognition - Explore if harmonic levels show interesting price behavior
• Fun Learning - Combine musical knowledge with trading concepts
📊 EXPERIMENTAL USE:
• Creative alternative to traditional Fibonacci levels
• Educational exploration of mathematical harmony in markets
• Interesting way to visualize price ranges and retracements
• Novel approach for musicians interested in trading concepts
Important Note: This is an educational and experimental tool that applies musical theory concepts to price analysis. It should be used for learning and exploration purposes alongside proven technical analysis methods. The musical relationships are mathematically based but not validated as reliable trading signals.
FVG + Zones + ATR + Vol + RangesThis indicator combines Fair Value Gaps (FVGs) with daily, weekly, and monthly ranges, Killzones, ATR & volume filters, and powerful alert conditions.
🔹 Key Features:
• Daily, Weekly & Monthly Ranges
• Automatic plotting of previous highs/lows
• Fully customizable (color, width, line style)
• Optional labels (T-High/T-Low, W-High/W-Low, M-High/M-Low)
• Fair Value Gaps (FVGs)
• Detection of up- and down-FVGs at the start of the 4th candle
• Two modes:
• Raw FVGs → Alerts only (no chart marking)
• Filtered FVGs → Alerts + visual highlights (barcolor)
• Filter conditions: ATR, Volume, and optionally Killzones
• Killzones (active only on < 1H timeframes)
• London (08:00 – 11:00)
• New York AM (14:30 – 17:00)
• New York PM (optional)
• Fully adjustable start/end times + UTC offset (summer/winter time)
• Filters
• ATR filter → qualify FVGs only if volatility is high enough
• Volume filter → qualify FVGs only if volume exceeds SMA
• Alerts
• Filtered FVG alerts (ATR/Vol/Killzones)
• Raw FVG alerts (pure FVG condition, no filtering)
• All alerts trigger exactly at the beginning of the 4th candle
🔹 Use Cases:
• Visualize key market ranges (daily, weekly, monthly)
• Identify and confirm high-probability FVGs within Killzones
• Focus only on quality setups using ATR & Volume filters
• Automate trading workflows with precise FVG alerts
⸻
👉 This tool gives you a complete market overview, combining market structure (ranges) with liquidity concepts (Killzones & FVGs) while enabling efficient trade execution through alerts.
Interval Highlighter with High/Low AlertsInterval Highlighter with High/Low Alerts
Overview:
This Pine Script indicator enhances chart analysis by highlighting specific time intervals and marking the highest and lowest prices within those periods. It supports three customizable modes:
Date Range: Highlight a user-defined period with background shading and plot the highest and lowest prices.
Days of the Week: Highlight specific weekdays with background colors and plot the highest and lowest prices for each day.
Intraday Interval: Highlight a specific intraday time range (e.g., 12:30 PM to 4:30 PM) with background shading and plot the highest and lowest prices within that interval.
Alerts are triggered when the price touches any of the highlighted high or low levels, providing real-time notifications for potential trading opportunities.
High and low lines extend to the right and remain visible after the interval ends. This ensures they act as actionable reference points for alerts between intervals, allowing users to monitor critical levels until a new interval of the same category forms.
Features:
Customizable Time Intervals: Define specific date ranges, weekdays, or intraday intervals to highlight on the chart.
High/Low Tracking: Automatically plots the highest and lowest prices within the defined intervals.
Real-Time Alerts: Set up alerts to notify when the price touches any of the highlighted high or low levels.
Actionable Lines: High/low lines remain visible after interval completion to serve as reference points for alerts.
Visual Enhancements: Customize background colors and line styles for each interval type.
Usage:
Apply the indicator to your chart.
Configure the desired modes (Date Range, Days of the Week, Intraday Interval) in the settings.
Customize the appearance settings to match your preferences.
Set up alerts based on the highlighted high/low levels.
Disclaimer:
This indicator is designed to assist in identifying potential areas of interest based on historical high and low levels within specified intervals. It is not intended as a standalone trading signal. Users should employ additional technical analysis tools and conduct thorough research before making trading decisions.
Wyckoff Smart Money Pro [MTF]Wyckoff Smart Money Pro detects trading ranges, phases, and events from the Wyckoff method and confirms them with VSA (Volume Spread Analysis), divergence checks, and a composite “smart money” strength index. It generates optional buy/sell signals only when multiple conditions align (phase, VSA, CO strength, effort vs. result, time/volume filters). The dashboard, POC/Value Area, and MTF backdrop help you manage context and risk in real time.
What this indicator does
Wyckoff Smart Money Pro is a multi-timeframe Wyckoff tool that:
⦁ Finds accumulation/distribution ranges and tracks Phases A–E.
⦁ Labels Wyckoff events (PS, SC, AR, ST, Spring/Test, SOS, LPS, UTAD, SOW, LPSY, TS…) and VSA patterns (No Demand/Supply, Stopping Volume, Upthrust, etc.).
⦁ Computes a Composite Operator (CO) Strength score from price/volume behavior to approximate “smart money” bias.
⦁ Adds divergence, effort vs. result, and a volume profile (POC & 70% value area) inside the detected range.
⦁ Provides buy/sell signals only when a configurable confluence is present (events + VSA + CO + EVR + phase + filters).
⦁ Supports MTF context (with a safe HTF resolver and fallbacks) and an Info Dashboard to summarize the current state.
It is designed to make the Wyckoff workflow visual and rules-based without promising results or automating decisions.
How it works (methods & calculations)
1) Range & Phase model
⦁ A sliding lookback searches for a valid range (recent highest high/lowest low), requiring width within 2–10× ATR(14) and a minimum bar count inside the bounds.
⦁ Once a range is active, the script derives Creek/Ice/Mid/Quartiles and classifies bars into Wyckoff Phases A–E using event recency (barssince) and where price sits relative to the range.
⦁ The background color reflects the current Phase; optional MTF events (from the chosen HTF) tint the background lightly for higher-timeframe context.
2) Wyckoff & VSA event engine
⦁ Events include PS, SC, AR, ST, Spring, Test, SOS, LPS, PSY, BC, UTAD, SOW, LPSY, TS, plus minor/multiple variants and Creek/Ice jumps.
⦁ VSA patterns detect No Demand/No Supply, Stopping Volume, Buying/Selling Climax, Upthrust/Pseudo Upthrust, Bag Holding, Shake-Out, Volume Dry-Up, etc., from spread vs. average spread and volume vs. average volume with tunable thresholds.
3) Smart-money (CO) Strength
⦁ CO Strength (0–100) blends: relative volume on up/down bars, professional accumulation/distribution, no-supply/no-demand, stopping volume, Springs/UTADs and Tests, SOS/SOW, price’s position inside the range, and volume-delta vs. its MA.
⦁ Persistent accumCount / distCount counters smooth temporary noise.
4) Divergence & Effort-vs-Result
⦁ Price vs. cum volume-delta divergence highlights weakening pushes.
⦁ EVR flags “High effort / no result” and potential Bullish/Bearish reversals, or “Low effort / high result” moves that are often unsustainable.
5) Volume Profile (inside range)
⦁ A 50-bin profile accumulates volume across the detected range to derive POC, VAH/VAL (70% value area). Lines update as the active range evolves.
6) Multi-Timeframe (MTF) safety
⦁ getHTF() converts your multiplier to a valid Pine timeframe string (e.g., 60, 240, 2D, 1W), and the script falls back to current timeframe values if an HTF request returns na.
⦁ If you enter a Custom HTF, it must be strictly higher than the chart’s timeframe (validated at runtime).
7) Signals & risk model
⦁ Signals are not tied to any single pattern. A buy may require Spring/Test/Shake-out/Creek Jump or SOS plus confirmation (VSA, CO>60, Phase C/D, divergence/EVR context).
⦁ Sell is symmetrical (UTAD/Failed Spring/SOW/Ice Jump + VSA + CO<40 + Phase C/D).
⦁ Minimum confidence is configurable; SL/TP and R:R lines are drawn from range edges or recent bar extremes.
⦁ Filters: trading hours, weekend avoidance, and a minimum volume threshold (relative to average) are available to suppress low-quality contexts.
⦁ Alerts include all major events, divergences, structure/phase changes, and the gated Buy/Sell signals (with a cooldown to reduce alert spam).
Inputs (key ones you’ll actually use)
⦁ Display Settings: toggle ranges, phases, events, VSA, signals, dashboard.
⦁ MTF: Enable HTF, set Multiplier or a Custom HTF (must be higher than current).
⦁ Range Detection: period / min bars / pivot strength.
⦁ VSA: volume sensitivity & climax multiplier.
⦁ Signal Settings: minimum confidence, risk/reward labels.
⦁ Advanced Filters: trading hours, weekend avoidance, and Min Volume Filter (× avg).
⦁ Colors: phase backgrounds, structure colors, and line styling.
How to use (practical flow)
1. Choose a symbol & timeframe you normally analyze (e.g., 5–60m for entries, 4H/D for context).
2. If using MTF, pick a multiplier (e.g., 5×) or a Custom HTF (e.g., 240/4H).
3. Wait for a range to form; watch Phase and CO Strength on the Dashboard.
4. When events (e.g., Spring/Test in Phase C or UTAD in distribution) appear with favorable VSA, CO, EVR, and volume/time filters, consider the signal and review R:R lines.
5. Use POC/VA and Creek/Ice/Mid as structure references; manage risk around the range edge that generated the setup.
On-chart legend (what the letters mean)
Wyckoff events (labels)
⦁ PS Preliminary Support, SC Selling Climax, AR Automatic Rally, ST Secondary Test
⦁ Spring Spring; Test Test of Spring
⦁ SOS Sign of Strength; LPS Last Point of Support
⦁ PSY Preliminary Supply, BC Buying Climax
⦁ UTAD Upthrust After Distribution; SOW Sign of Weakness; LPSY Last Point of Supply
⦁ TS Terminal Shakeout; MS Multiple Spring
⦁ CJ Creek Jump; IJ Ice Jump
⦁ mSOS / mSOW Minor Sign of Strength/Weakness
VSA patterns (tiny labels)
⦁ ND No Demand, NS No Supply, SV Stopping Volume, BC/SC Buying/Selling Climax
⦁ PA/PD Professional Accumulation/Distribution, BH Bag Holding, DU Volume Dry-Up
⦁ SO Shake-Out, TS Test for Supply (VSA test), UT Upthrust, PUT Pseudo Upthrust
Other visuals
⦁ Range box with Creek (upper third), Ice (lower third), Mid, Quartiles
⦁ POC/VAH/VAL: yellow solid (POC), purple dotted (value area)
⦁ VWAP and Dynamic S/R (stepline)
⦁ Green/Red triangles: gated Buy/Sell signals (only if min confidence & filters are met)
⦁ Risk label near the triangle: confidence /10 and R:R
Alerts included
⦁ Core events (Spring/Test/UTAD/SOS/SOW/TS), secondary events (SC/AR/BC/LPS/LPSY), VSA patterns, EVR states, Hidden Accumulation/Distribution, HTF events, Divergences, Phase/Structure changes, and the constrained Buy/Sell signals with a cooldown.
Notes, limits & best practices
⦁ This is not a buy/sell system; it’s a context & confirmation tool. Combine with your plan, risk limits, and execution criteria.
⦁ Long, illiquid, or news-driven bars can distort volume/spread logic; filters help but cannot eliminate this.
⦁ For MTF, if an exchange doesn’t support a specific HTF, the script falls back safely to current TF values to avoid na-propagation.
⦁ Dashboard rows/size/position are user-configurable to keep charts uncluttered.
Changelog (what’s new in this version)
⦁ MTF safety & validation (Custom HTF must be above current; graceful fallbacks for request.security() na results).
⦁ Performance caching for close position & up/down bar flags; drawing cleanup to stay under label/line limits.
⦁ Volume Profile upgraded to 50 bins; VA algorithm adjusted accordingly.
⦁ Signal gating with time/day/volume filters and alert cooldown to reduce noise.
⦁ Bug guards for parameter conflicts (e.g., rangeMinBars cannot exceed rangePeriod).
Disclaimer
This script is for educational and research purposes only and does not constitute financial advice or a recommendation to buy or sell any asset. Market risk is real; always test on a demo and trade at your own discretion.
