OI Visible Range Ladder [Kioseff Trading]Hello!
This Script “OI Visible Range Ladder” calculates open interest profiles for the visible range alongside an OI ladder for the visible period!
Features
OI Profile Anchored to Visible Range
OI Ladder Anchored to Visible Range
Standard POC and Value Area Lines, in Addition to Separated POCs and Value Area Lines for each category of OI x Price
Configurable Value Area Targets
Curved Profiles
Up to 9999 Profile Rows per Visible Range
Stylistic Options for Profiles
Up to 9999 volume profile levels (Price levels) can be calculated for each profile, thanks to the new polyline feature, allowing for less aggregation / more precision of open interest at price.
The image above shows primary functionality!
Green profiles = Up OI / Up Price
Yellow profiles = Down OI / Up Price
Purple profiles = Up OI / Down Price
Red profiles = Down OI / Down Price
The image above shows POCs for each OI x Price category!
Profiles can be anchored on the left side for a more traditional look.
The indicator is robust enough to calculate on “small price periods”, or for a price period spanning your entire chart fully zoomed out!
That’s about it :D
This indicator is Part of a series titled “Bull vs. Bear” - a suite of profile-like indicators.
Thanks for checking this out!
If you have any suggestions please feel free to share!
חפש סקריפטים עבור "poc"
Bull Vs Bear Visible Range VP [Kioseff Trading]Hello!
This Script “Bull vs Bear Visible Range VP” Calculates Bull & Bear Volume Profiles for the Visible Range Alongside a Delta Ladder for the Visible Period!
Features
Volume Profile Anchored to Visible Range
Delta Ladder Anchored to Visible Range
Bull vs Bear Profiles!
Standard Poc and Value Area Lines, in Addition to Separated POCs and Value Area Lines for Bull Profiles and Bear Profiles
Configurable Value Area Target
Curved Profiles
Up to 9999 Profile Rows per Visible Range
Stylistic Options for Profiles
This Script Generates Bull vs. Bear Volume Profiles for the Visible Range!
Up to 9999 Volume Profile Levels (Price Levels) Can Be Calculated for Each Profile, Thanks to the New Polyline Feature, Allowing For Less Aggregation / More Precision of Volume at Price and Volume Delta.
Bull vs Bear Profiles
The Image Above Shows Primary Functionality!
Green Profiles = Buying Volume
Red Profiles = Selling Volume
Bullish & Bearish Pocs for the Visible Range Are Displayable!
Profiles Can Be Anchored on the Left Side for a More Traditional Look.
The indicator is robust enough to calculate on "small price periods", or for a price period spanning your entire chart fully zoomed out!
That’s About It :D
This Indicator Is Part of a Series Titled “Bull vs. Bear” - A Suite of Profile-Like Indicators I Will Be Releasing Over Coming Days. Thanks for Checking This Out!
If You Have Any Suggestions Please Feel Free to Share!
Zig-Zag Open Interest Footprint [Kioseff Trading]Hello!
This script "Zig Zag Open Interest Footprint" calculates open interest x price values for zig zag trends!
Features
Open interest footprints anchored to zig zag trends
Summed OI x price level footprints
Total OI (for each category) for the entire trend shown
Standard POC lines, in addition to separated POC lines for each category of open interest x price possibility
Up to 9999 profile rows per zigzag trend
Stylistic options for profiles
Configurable zig zag - footprints generated for small to large trends
The zigzag indicator is configurable as normal; minor and major trend volume footprints are calculable. This indicator can be thought of as "Open Interest Footprint for Trends''.
Up to 9999 open interest levels (price levels) can be calculated for each profile, thanks to the new polyline feature, allowing for less aggregation / more precision of open interest at price.
Zig Zag OI Footprints
The image above shows primary functionality!
Green = Higher OI + Higher Price
Yellow = Lower OI + Higher Price
Purple = Higher OI + Lower Price
Red = Lower OI + Lower Price
Profiles are generated for each trend identified by the zigzag indicator.
The image above shows the indicator calculating open interest x price for specific price blocks on the footprint. Aggregate open interest for the identified trend is displayed over the profile!
Neon highlighted values correspond to the highest open interest change for the category. This is a configurable option :D
The image above shows POC lines for each category of open interest x price!
Additionally, you can select to show a single POV for footprint - the single level the greatest amount of OI change occurred.
The indicator is robust enough to calculate on "long zig zags" and "short zig zags"; curved profiles can also be used!
The image above shows key levels, each OI footprint, and summed OI values for the current trend!
That's about it :D
This indicator is part of a series titled "Bull vs. Bear" - a suite of profile-like indicators I will be releasing over the coming days. Thanks for checking this out!
If you have any suggestions please feel free to share!
MTF Evolving Weighted Composite Value Area🧾 Description:
This indicator calculates evolving value areas across 3 different timeframes/periods and combines them into one composite, multi-timeframe evolving value area - with each of the underlying timeframes' VAs assigned their own weighting/importance in the final calculation. Layered with extra smoothing options, this creates an informative and useful 'rolling value area' effect that can give you a better perspective on the value area across multiple periods at once as it develops - without total calculation resets at the onset of every new period.
Let's start with a simplified primer on value areas and then jump in to the new ideas this indicator introduces.
🤔 What is a value area?
Value areas are a tool used in market profile analysis to determine the range of prices that represents where most trading activity occurred during a specific time period, typically within a single 'bar' of a certain higher timeframe, such as the 4-hour, daily, or weekly. It helps traders understand the levels where the market finds value.
To calculate the value area, we look at the distribution of prices and trading volume. We determine a percentage, usually 70% or 80%, that represents the significant portion of trading volume. Then, we identify the price range that contains this percentage of trading volume, which becomes the value area.
Value areas are useful because they provide insights into market dynamics and potential support and resistance levels. They show where traders have been most active and where they find value, and traders can use this information to make better-informed decisions.
For example, if price is trading within the value area, it suggests that it's within a range where traders see value and are actively participating, which could indicate a balanced market. If the price moves above or below the value area, it may signal a potential shift in market sentiment or a breakout/breakdown from the established range.
By understanding the value area, traders can identify potential areas of supply and demand, determine levels of interest for buyers and sellers, and make decisions based on the market's perception of value.
📑 Limitations of traditional value areas
Static representation: Value areas are usually represented as static zones calculated after the fact. For example, after a daily period is completed, a typical 1D VA indicator will display the value area for the past period with static horizontal lines. This approach doesn't give you the power to see how the value area evolved, or developed, during the time period, as it is only displayed retroactively. It also doesn't give you the ability to view it as it evolves in real-time. This is why we chose to use an evolving value area representation, specifically borrowed from @sourcey's Value Area POC/VAH/VAL script function for calculating evolving VAs.
Rollover resets - no memory of past periods!: The traditional value area is calculated over a static period - it is calculated from the beginning of the period, for example a 1 day period, to the end, and that's the end of it. When the next daily period begins, the calculation resets, and has no memory of the preceding period. This limits the usefulness of the value area visual when viewed near the beginning of a new period before price and volume have been given ample time to define an area.
Hard to absorb all of that information: Value areas aren't generally meant to be a hardline representation of something extremely exact - they're based on a percentage of the area where traders appeared to find value over a certain time period. Most traders use them as a guide for support and resistance levels or finding an expected range. Traders typically overlay multiple VAs - sometimes requiring several instances of the same indicator to be applied - to represent the VA across multiple timeframes such as the 4H, 1D, or 1W. The chart quickly gets cluttered and it's not necessarily easy to understand the relationship between these multiple periods' VAs at a glance.
🧪 New concepts introduced in this indicator
With the evolving weighted composite value area we tried to address these limitations, and we think the result can be useful and intuitive for traders who want more dynamic and practical VAs for their everyday technical analysis.
⚖️ 1. A composite, weighted multi-timeframe VA
This indicator's value areas represent a combination or composite of the value areas calculated across multiple timeframes. The VAs calculated across each timeframe are then given a weighting percentage, which determines their contribution to the final 'weighted composite value area'.
Pictured below: a 4H/1D/1W MTF evolving weighted composite VA on the BTCUSDT Perpetual Futures (Binance) 5 minute chart:
Traditionally, when traders wanted to get a view of where the majority of trading activity occurred over the past four hours, day, and week, they would need to apply three value area indicators (or sometimes one if it allows multiple custom timeframes), each set to a different period (4H, 1D, 1W). The chart gets cluttered quickly and the information is hard to absorb in one shot. Addressing this problem was the main impetus for creating this weighted composite process.
〰️ 2. Rolling and smoothed evolving VAs
Because the composite VA is calculated based on multiple period VAs, there is no one single point where the area calculation resets (unless all 3 selected timeframes happen to rollover on the same bar). This creates a 'rolling' effect that gives a sense of the progression of the VA as price transitions through the different underlying time periods, without the traditional 'jump' in calculations between periods.
Pictured below: a 1D/1W/1M MTF evolving weighted composite VA on the NQ futures 1H chart:
To help give even more of a sense of perspective and 'progression' of the VA, there are also smoothing options to even out the 'jumps' at period-rollover points.
✔️ What's it good for?
Smoothed, rolling, and evolving multi-timeframe VAs that give you a better real-time perspective of where traders are finding value across multiple time periods at once.
📎 References
1. @sourcey's Value Area POC/VAH/VAL script by adapting its f_poc(tf) function.
💠 Features:
A MTF evolving weighted composite value area based on 3 underlying VAs calculated across customizable timeframes
Aesthetic and flexible coloring and color theme styling options
Period-roller labels and options for ease-of-use and legibility
⚙️ Settings:
Calculation Decimal Resolution: This setting essentially determines how 'granular' the value area calculating process is. This value should be set to some multiple of the tick size/smallest decimal of the symbol's price chart. Eg. On BTCUSDT, the tick size/decimal is usually 0.1. So, you might use 0.5. On TSLA, the tick size is 0.01. You might use 0.05 or 0.25. Beware: if the resolution is too small, calculation will take too long and the script may timeout.
Show Me Suggested Resolutions: If enabled, a label will display in the bottom right of the chart with some suggested resolutions for the current chart.
Area Percentage: Set the displayed percentage of the calculated composite value area. Igor method = 70%; Daniel method: 68%.
Use a Color Theme: When this setting is enabled, all manual 'Bullish and Bearish Colors' are overridden. All plots will use the colors from your selected Color Theme - excepting those plots set to use the 'Single Color' coloring method.
Color Theme: When 'Use a Color Theme' is enabled, this setting allows you to select the color theme you wish to use.
Resistance Color: When 'Use a Color Theme' is disabled, this will set the 'resistance color' for the composite VA.
Support Color: When 'Use a Color Theme' is disabled, this will set the 'support color' for the composite VA.
Show Period Rollover Labels: When enabled, a label will show above or below the composite VA marking any underlying period rollovers with the label 'New __' (eg. 'New 4H', 'New 1D', 'New 1W').
Size: Sets the font size of the period rollover labels.
Show Period Rollover Lines: When enabled, a translucent vertical dashed line will be drawn across the composite VA when one of the underlying periods rolls over.
Fill Composite Value Area: When enabled, the composite VA will be filled with a gradient coloring from the support line to the resistance line using their respective colors.
Smooth: When enabled, a smoothing moving average will be applied to the composite value area.
Smoothing Period: Set the lookback period for the smoothing average.
Smoothing Type: Set the calculation type for the smoothing average. Options include: Exponential, Simple, Weighted, Volume-Weighted, and Hull.
Enable: Include/exclude a timeframe's VA in the composite VA calculation.
Timeframe: Set the timeframe for this specific underlying VA.
Weighting %: Set the weighting percentage or 'importance' of this timeframe's value area in calculating the composite VA. Beware! The sum of the weighting percentages across all enabled timeframes must ALWAYS add up to 100 in order for this indicator to work as designed.
[Pt] Periodic Volume ProfileThis script is an attempt to recreate the Periodic Volume Profile that is built-in by TradingView, with slightly different features. Related blog: www.tradingview.com
This script is based on another script "Volume Profile, Pivot Anchored" by @dgtrd
*Note that only limited number Volume Profile can be displayed on the chart due to limitations on displaying boxes and lines.
Description
This Periodic Volume Profile (PVP) indicator allows trades to view volume profiles for periods longer than the current timeframe. The indicator builds one general volume profile for each new period, set by the user through the “Periodic Timeframe” input parameter.
This script also has the option to extend Point of Control (POC) lines with optional end conditions: Until Bar Touch, Until Last Bar, Until Bar Cross, or None, which extends to the right.
Signals are generated for Naked POC touches and crosses by a triangle symbol and a cross symbol, by default.
Alerts are available for POC touches and crosses.
What is Volume Profile?
Volume profile is a technical analysis tool that shows the volume of trades at different prices for a given security or market over a specific period of time.
Volume profile can be used to identify key levels of support and resistance, as well as to assess the overall supply and demand for a security. For example, if there is a high volume of trades at a particular price level, this may indicate that there is a significant level of support or resistance at that price. On the other hand, if there is relatively low volume at a particular price, this may indicate that there is not much interest in trading at that level.
Traders can use volume profile to identify trends, make trading decisions, and set stop-loss and take-profit orders. It can also be useful for identifying patterns such as "pockets of liquidity," which are areas where there is a high volume of trades but relatively little price movement.
It is important to note that volume profile should be used in conjunction with other technical analysis tools and should not be relied upon in isolation. It is also important to consider the overall context and market conditions when interpreting volume profile data.
Key Difference with TradingView's PVP indicator - TradingView's PVP intraday period does not align with standard intraday timeframes as it is determined by # of bars. This script provides volume profiles that aligns with higher timeframe periods.
Enjoy~!
Visible Range Mean Deviation Histogram [LuxAlgo]This script displays a histogram from the mean and standard deviation of the visible price values on the chart. Bin counting is done relative to high/low prices instead of counting the price values within each bin, returning a smoother histogram as a result.
Settings
Bins Per Side: Number of bins computed above and below the price mean
Deviation Multiplier: Standard deviation multiplier
Style
Relative: Determines whether the bins length is relative to the maximum bin count, with a length controlled with the width settings to the left.
Bin Colors: Bin/POC Lines colors
Show POCs: Shows point of controls
Usage
Histograms are generally used to estimate the underlying distribution of a series of observations, their construction is generally done taking into account the overall price range.
The proposed histogram construct N intervals above*below the mean of the visible price, with each interval having a size of: σ × Mult / N , where σ is the standard deviation and N the number of Bins per side and is determined by the user. The standard deviation multipliers are highlighted at the left side of each bin.
A high bin count reflects a higher series of observations laying within that specific interval, this can be useful to highlight ranging price areas.
POCs highlight the most significant bins and can be used as potential support/resistances.
Volume ProfileThis is a Volume Profile based on pine script arrays.
The main idea behind this script is from the user @IldarAkhmetgaleev .
He created an awesome piece of code for free users on tradingview.
Here are some changes to the main script:
0. Used Pine Script Arrays for doing/storing calculations.
1. The bar labels are replaced with lines.
2. Added a POC line.
3. Bar growing directions changed from right to left.
4. Added an option to change bar width.
Inputs:
0. Volume Lookback Depth : Number of bars to look back for volume calculations.
1. Bar Length Multiplier : Bar length multiplier to make bar long or short.
2. Bar Horizontal Offset : Horizontal distance from the current bar in the right direction.
3. Bar Width : Width of the bars.
4. Show POC Line : Show or hide the POC line.
Happy trading.
Intra Bar Volume ProfileThis indicator provides a high-resolution volume profile analysis for every single bar on the chart. It builds this profile by sampling data from a lower intra-bar timeframe, allowing for a granular view of price distribution and buying/selling pressure within the bar.
Key Features:
Intra-Bar Profile Engine: For each bar on the main chart, the indicator builds a complete volume profile on a lower 'Intra-Bar Timeframe'. It uses:
Statistical Models ('Allot model'): Distributes volume across price levels using 'PDF' (Probability Density Function) or 'Classic' (close) methods.
Buy/Sell Classifiers ('Volume Estimator'): Splits volume using a 'Dynamic' (trend/wick-based) or 'Classic' (candle color) model.
On-Chart Visualization (Overlay): The analysis is rendered directly onto the price bars:
Point of Control (POC): A line showing the price level with the most volume for that bar.
Value Area (VA): A colored box representing the price range where the specified percentage (e..g., 50%) of volume was traded.
VWAP: Displays the volume-weighted average price (VWAP) for the bar as a separate line.
Integrated Alerts: Includes 8 alerts that trigger when the main price crosses over or under the key intra-bar levels: POC, VWAP, and the Value Area High/Low.
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMM
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Periodic Volume ProfileThis indicator visualizes volume profiles that are dynamically anchored to market structure events, rather than fixed time intervals. It builds these profiles using high-resolution intra-bar data to provide a precise view of where value is established during critical market phases.
Key Features:
Event-Based Profile Anchoring: The indicator starts a new profile based on one of three user-selected events ('Profile Anchor'):
Swing: A new profile begins when the 'impulse baseline' (derived from delta) changes. This baseline adjusts when a new price pivot is confirmed: When a price high forms, the baseline moves to the lower of its previous level or the peak delta (max of delta O/C) at the pivot. When a price low forms, it moves to the higher of its previous level or the trough delta (min of delta O/C).
Structure: A new profile begins immediately on the bar that confirms a market structure break (e.g., a new HH or LL, based on a sequence of price pivots).
Delta: A new profile begins immediately on the bar that confirms a break in the cumulative delta's market structure (e.g., a new HH or LL in the delta).
Statistical Profile Engine: For each bar in the anchored period, the indicator builds a volume profile on a lower 'Intra-Bar Timeframe'. It uses:
Statistical Models ('Allot model'): Distributes volume across price levels using 'PDF' (Probability Density Function) or 'Classic' (close) methods.
Buy/Sell Classifiers ('Volume Estimator'): Splits volume using a 'Dynamic' (trend/wick-based) or 'Classic' (candle color) model.
Note on Anchor Lag: The different anchor types have different delays. 'Structure' and 'Delta' profiles begin in real-time on the confirmation bar. The 'Swing' profile calculation is plotted retroactively to the pivot's origin, as the pivot is only confirmed Pivot Right Bars after it occurs.
Flexible Visualization Modes: The finalized profile (plotted at the end of each period) can be displayed in three ways: 'Up/Down' (buy vs. sell), 'Total' (combined volume), and 'Delta' (net difference).
Developing Real-Time Metrics: The indicator plots the developing Point of Control (POC), Value Area (VA), VWAP, and Standard Deviation bands in real-time as the new profile forms.
Dynamic Row Sizing: Includes an option ('Rows per Percent') to automatically adjust the number of profile rows (buckets) based on the profile's price range, maintaining a consistent visual density.
Integrated Alerts: Includes 13 alerts that trigger for:
A new profile reset ('Profile was resetted').
Price crossing any of the 6 developing levels (POC, VA High/Low, VWAP, StdDev High/Low).
Caution: Real-Time Data Behavior (Intra-Bar Repainting) This indicator uses high-resolution intra-bar data. As a result, the values on the current, unclosed bar (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final after the main chart bar has closed.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Predictive Pivot Matrix OHLC data, integrates volume profile for POC/Value Area tracking (including virgin POC), applies rule-based "ML" scoring to evaluate pivot strength via factors like proximity, volume, touches, trend, and confluence, monitors adaptive success rates, projects 5-day future pivots using trend/volatility, detects overlapping confluence zones, and generates visuals (lines, labels, table), alerts, and buy/sell signals on key crossings.
FEI: Futures Entry Identifier📘 FEI: Futures Entry Identifier
FEI is a modular, futures-grade entry engine designed for precision trading across GC1!, MNQ1!, ES1!, and related contracts. It combines manual SVP structure, CHoCH detection, and Colby-style candle strength filters to identify high-probability long and short entries.
🔧 Features
• Manual SVP inputs (VAH, VAL, POC)
• Symbol-aware filters for micro vs standard contracts
• Multi-timeframe signal logic (3m, 5m, 10m, 15m, 30m)
• CHoCH detection with optional engulfing filter (default off)
• FRVP entry zone plotting after CHoCH confirmation
• Candle coloring on CHoCH trigger
• Session-aware logic (ETH default, optional RTH-only)
• Narratable visuals and audit-safe alerts
🧭 How to Use
1. Input VAH, VAL, and POC manually
2. Select signal timeframe (e.g. 3m or 5m)
3. Watch for CHoCH (white candle = structural shift)
4. Entry line plots at top/bottom of recent range
5. Long/short markers appear when SVP + candle strength align
6. Toggle RTH-only mode if needed
🌟 Why It’s Unique
FEI is built for traders who demand clarity, structure, and precision. Every signal is narratable, audit-safe, and resolution-aware—ideal for futures overlays and sniper-grade entries.
SCTI - D14SCTI - D14 Comprehensive Technical Analysis Suite
English Description
SCTI D14 is an advanced multi-component technical analysis indicator designed for professional traders and analysts. This comprehensive suite combines multiple analytical tools into a single, powerful indicator that provides deep market insights across various timeframes and methodologies.
Core Components:
1. EMA System (Exponential Moving Averages)
13 customizable EMA lines with periods ranging from 8 to 2584
Fibonacci-based periods (8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584)
Color-coded visualization for easy trend identification
Individual toggle controls for each EMA line
2. TFMA (Multi-Timeframe Moving Averages)
Cross-timeframe analysis with 3 independent EMA calculations
Real-time labels showing trend direction and price relationships
Customizable timeframes for each moving average
Percentage deviation display from current price
3. PMA (Precision Moving Average Cloud)
7-layer moving average system with customizable periods
Fill areas between moving averages for trend visualization
Support and resistance zone identification
Dynamic color-coded trend clouds
4. VWAP (Volume Weighted Average Price)
Multiple anchor points (Session, Week, Month, Quarter, Year, Earnings, Dividends, Splits)
Standard deviation bands for volatility analysis
Automatic session detection and anchoring
Statistical price level identification
5. Advanced Divergence Detector
12 technical indicators for divergence analysis (MACD, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, VW-MACD, CMF, MFI, External)
Regular and hidden divergences detection
Bullish and bearish signals with visual confirmation
Customizable sensitivity and filtering options
Real-time alerts for divergence formations
6. Volume Profile & Node Analysis
Comprehensive volume distribution analysis
Point of Control (POC) identification
Value Area High/Low (VAH/VAL) calculations
Volume peaks and troughs detection
Support and resistance levels based on volume
7. Smart Money Concepts
Market structure analysis with Break of Structure (BOS) and Change of Character (CHoCH)
Internal and swing structure detection
Equal highs and lows identification
Fair Value Gaps (FVG) detection and visualization
Liquidity zones and institutional flow analysis
8. Trading Sessions
9 major trading sessions (Asia, Sydney, Tokyo, Shanghai, Hong Kong, Europe, London, New York, NYSE)
Real-time session status and countdown timers
Session volume and performance tracking
Customizable session boxes and labels
Statistical session analysis table
Key Features:
Modular Design: Enable/disable any component independently
Real-time Analysis: Live updates with market data
Multi-timeframe Support: Works across all chart timeframes
Customizable Alerts: Set alerts for any detected pattern or signal
Professional Visualization: Clean, organized display with customizable colors
Performance Optimized: Efficient code for smooth chart performance
Use Cases:
Trend Analysis: Identify market direction using multiple EMA systems
Entry/Exit Points: Use divergences and structure breaks for timing
Risk Management: Utilize volume profiles and session analysis for better positioning
Multi-timeframe Analysis: Confirm signals across different timeframes
Institutional Analysis: Track smart money flows and market structure
Perfect For:
Day traders seeking comprehensive market analysis
Swing traders needing multi-timeframe confirmation
Professional analysts requiring detailed market structure insights
Algorithmic traders looking for systematic signal generation
---
中文描述
SCTI - D14是一个先进的多组件技术分析指标，专为专业交易者和分析师设计。这个综合套件将多种分析工具整合到一个强大的指标中，在各种时间框架和方法论中提供深度市场洞察。
核心组件：
1. EMA系统（指数移动平均线）
13条可定制EMA线，周期从8到2584
基于斐波那契的周期（8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584）
颜色编码可视化，便于趋势识别
每条EMA线的独立切换控制
2. TFMA（多时间框架移动平均线）
跨时间框架分析，包含3个独立的EMA计算
实时标签显示趋势方向和价格关系
每个移动平均线的可定制时间框架
显示与当前价格的百分比偏差
3. PMA（精密移动平均云）
7层移动平均系统，周期可定制
移动平均线间填充区域用于趋势可视化
支撑阻力区域识别
动态颜色编码趋势云
4. VWAP（成交量加权平均价格）
多个锚点（交易时段、周、月、季、年、财报、分红、拆股）
标准差带用于波动性分析
自动时段检测和锚定
统计价格水平识别
5. 高级背离检测器
12个技术指标用于背离分析（MACD、RSI、随机指标、CCI、威廉姆斯%R、Bias、动量、OBV、VW-MACD、CMF、MFI、外部指标）
常规和隐藏背离检测
看涨看跌信号配视觉确认
可定制敏感度和过滤选项
背离形成的实时警报
6. 成交量分布与节点分析
全面的成交量分布分析
控制点（POC）识别
价值区域高/低点（VAH/VAL）计算
成交量峰值和低谷检测
基于成交量的支撑阻力水平
7. 聪明钱概念
市场结构分析，包括结构突破（BOS）和结构转变（CHoCH）
内部和摆动结构检测
等高等低识别
公允价值缺口（FVG）检测和可视化
流动性区域和机构资金流分析
8. 交易时区
9个主要交易时段（亚洲、悉尼、东京、上海、香港、欧洲、伦敦、纽约、纽交所）
实时时段状态和倒计时器
时段成交量和表现跟踪
可定制时段框和标签
统计时段分析表格
主要特性：
模块化设计：可独立启用/禁用任何组件
实时分析：随市场数据实时更新
多时间框架支持：适用于所有图表时间框架
可定制警报：为任何检测到的模式或信号设置警报
专业可视化：清洁、有序的显示界面，颜色可定制
性能优化：高效代码确保图表流畅运行
使用场景：
趋势分析：使用多重EMA系统识别市场方向
入场/出场点：利用背离和结构突破进行时机选择
风险管理：利用成交量分布和时段分析进行更好定位
多时间框架分析：在不同时间框架间确认信号
机构分析：跟踪聪明钱流向和市场结构
适用于：
寻求全面市场分析的日内交易者
需要多时间框架确认的摆动交易者
需要详细市场结构洞察的专业分析师
寻求系统化信号生成的算法交易者
Fixed Range Volume Profile"Distribution of transaction volume by price group (transaction volume by price block)"
Instructions for use (Professional Manual)
1. a basic concept
By vertical axis (price), shows the cumulative trading volume traded in the segment.
The longer the block, the more transactions took place in that price range.
Colors distinguish between buying/selling strength (green = buying advantage, red = selling advantage).
2. Key components
POC (Point of Control)
→ Longest block (most traded price segment, "key selling point").
VAH / VAL (Value Area High/Low)
→ Top/bottom segments where approximately 70% of the total volume is formed.
→ Role of "Major Support/Resistance".
High Capacity Node (HVN)
→ Significantly higher trading volumes → strong support/resistance.
Low Volume Node (LVN)
→ Low volume section → areas where prices are easily passed.
3. practical application
Find Support/Resistance
The thickest block (POC) is used as a place where prices often rebound/resist.
a trading entry/liquidation strategy
Buy if the price is supported near HVN,
When breaking through the LVN, fast movement (gap movement) can be expected.
break/goal setting
Finger = Under the LVN,
Target = Next HVN.
Judgment of trends
When the block distribution is concentrated above, "Increase to Collection Section"
If you're driven below, you're "in a downtrend to a variance section."
4. Precautions
The volume distribution is "past data based" and is not an indicator of the future.
Rather than using it alone, it is more effective to combine with Fibonacci, trend lines, and candle patterns.
In particular, in the volatile market, the LVN breakthrough → may signal a surge/fall.
In summary, this block indicator is "a map showing the most market participants at any price point".
In other words, it is useful for finding support/resistance as a tool for analyzing sales and establishing the basis for trading strategies.
Volume Profile AnalysisThe Volume Profile Dashboard is a professional-grade analysis tool built for TradingView. It focuses on displaying a comprehensive volume profile breakdown within a dashboard format directly on the chart. The purpose of this tool is to help traders quickly assess buy versus sell volume dynamics, momentum, and sentiment in order to support informed trading decisions.
Instead of plotting simple bars, this indicator uses a detailed table and visual progress bar to summarize live and historical market activity. By condensing key metrics into a structured format, traders can analyse market behaviour without manually calculating or switching between multiple indicators.
________________________________________
How the Script Works
1. Data Gathering
The script uses lower-timeframe price and volume data to calculate buy volume, sell volume, and total traded volume for the current and previous candles.
2. Volume Allocation
Buy and sell volumes are estimated by looking at the candle’s range (high to low) and how the closing price aligns within that range. The closer the close is to the high, the stronger the buying pressure. The closer the close is to the low, the stronger the selling pressure.
3. Delta and Momentum
o Delta measures the difference between buy and sell volume.
o Volume momentum compares the current candle’s activity to the previous one, showing if interest is rising or fading.
4. Point of Control (POC)
An average of high, low, and close is calculated to give an approximate “point of control” level—an area of balance where buyers and sellers previously agreed on price.
5. Dashboard Visualization
All these calculations are displayed inside a clean dashboard table with separate rows for the current candle, previous candle, and a summary row. Icons, colors, and progress bars make it visually intuitive.
6. On-Chart Progress Indicator
A dynamic horizontal progress bar is plotted on the chart above price, showing the balance between buy and sell volume for the latest activity.
7. Alerts
Built-in alerts trigger when strong buying or selling pressure is detected or when there is a significant spike in total traded volume.
________________________________________
How This Tool Can Be Used
• Intraday Trading: Quickly gauge whether buyers or sellers are in control of the market at any moment.
• Swing Trading: Compare momentum shifts between candles to identify early trend reversals.
• Risk Management: Use delta and sentiment signals to confirm whether to hold or reduce exposure.
• Confirmation: Align the volume profile dashboard with other indicators (such as RSI, MACD, or trendlines) for stronger trading conviction.
________________________________________
Using Mixed Indicators for Decisions
This dashboard alone provides volume insights, but better decisions come when it is combined with other tools:
• Pairing it with an RSI can show whether heavy buying is happening in overbought conditions.
• Combining with a SuperTrend or moving averages can confirm if volume momentum aligns with the price trend.
• Overlaying support/resistance levels can identify whether strong buy/sell signals occur at critical levels.
Mixed indicators prevent relying on one signal alone, reducing false trades.
________________________________________
Importance of This Tool
• Clarity: Condenses complex volume data into a simple, visual format.
• Speed: Traders can react faster with pre-calculated buy/sell percentages.
• Precision: Highlights hidden imbalances that are not obvious from candles alone.
• Professional-grade dashboard: Offers an institutional-style view of market behavior directly within TradingView.
________________________________________
Parameters in the Dashboard Table
• Period: Shows whether the row is for the current or previous candle, along with trend arrows.
• Price Range: The high–low range of the candle.
• Total Volume: The sum of buy and sell activity.
• Buy Volume / Sell Volume: Separated distribution of transactions leaning bullish or bearish.
• Delta: The net difference between buy and sell volumes, highlighting pressure imbalance.
• Buy % / Sell %: The percentage contribution of each side to total volume.
• POC: An average reference level where market consensus was strongest.
• Progress: A graphical bar showing buy vs sell dominance.
• Signal: Simplified output like Strong Buy, Buy, Strong Sell, Sell, Neutral.
• Summary Row: Compares changes between the current and previous candles and gives overall market sentiment.
________________________________________
Stock Market Disclaimer
This tool is for educational and informational purposes only. It does not constitute financial advice, investment advice, or trading recommendations. The stock market and cryptocurrency markets involve high risk. Traders and investors should do their own research and consult licensed financial advisors before making investment decisions. Past performance is not indicative of future results.
________________________________________
Misuse Disclaimer
This script has been developed as per TradingView’s rules and is intended for responsible trading analysis only. Any misuse, redistribution, or modification outside of TradingView’s policies is discouraged. The author and platform are not responsible for financial losses, misinterpretation of signals, or misuse of the code.
________________________________________
Disclaimer
Training & Educational Only — This material and the indicator are provided for educational purposes only. Nothing here is investment advice or a solicitation to buy or sell financial instruments. Past simulated or historical performance does not predict future results. Always perform full back testing and risk management, and consider seeking advice from a qualified financial professional before trading with real capital.
________________________________________
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios
Summary
This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry.
________________________________________
Overview
Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry.
• Anchors define the swing’s Low (L), High (H), and bar count (N).
• The user manually enters the VPOC (highest-volume price).
• The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement.
The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments.
________________________________________
How to Use
1. Select a Swing
- Place Anchor A and Anchor B to define the swing’s Low, High, and bar count.
2. Find the VPOC
- Apply TradingView’s Fixed Range Volume Profile tool over the same swing.
- Identify the Point of Control (POC) — the price level with the highest traded volume.
3. Enter the VPOC
- Manually input the POC into the indicator settings.
4. Review Outputs
- The table will display candidate ratios expressed mainly as price-per-bar values.
5. Apply in Practice
- Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings.
________________________________________
Outputs
Swing & Inputs
• Bars (N): total bar count of the swing.
• Low (L): swing low price.
• High (H): swing high price.
• ΔP = H − L: price range.
• Mid = (L + H) ÷ 2: midpoint price.
• VPOC (V): user-entered highest-volume price.
• Base slope s0 = ΔP ÷ N: average change per bar.
• π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry.
________________________________________
VPOC Harmony Ratios (L, H, V, N)
• λ = (V − L) ÷ ΔP: normalized VPOC position within the range.
• R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment.
• s1 = (V − L) ÷ N: slope from Low → VPOC.
• s2 = (H − V) ÷ N: slope from VPOC → High.
________________________________________
Blended Means (s1, s2)
These combine the two segment slopes in different ways:
• HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope.
• GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally.
• RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope.
• L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined.
________________________________________
Slope Blends
• Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²)
• Tilted slope: s_tilt = s0 × (0.5 + λ)
• Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = −
________________________________________
Curvature & Liquidity Extensions
• π-arc × λ: s_arc = sπ × λ
• Liquidity-π: s_piV = sπ × (V ÷ Mid)
________________________________________
Scale-Normalized Families
With k = sqrt(H ÷ L):
• k (scale factor) = sqrt(H ÷ L)
• s_comp = s0 ÷ k: compressed slope candidate
• s_exp = s0 × k: expanded slope candidate
• Exponentiated blends:
- s_kλ = s0 × k^(2λ−1)
- s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618
- s_√2λ = s0 × (√2)^(2λ−1)
________________________________________
Practical Application
All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement.
These values are designed for:
• Chart compression settings
• Testing harmonic alignments across swings
• Liquidity-aware scaling experiments
________________________________________
Dynamic Support and Resistance V2 | AnonycryptousThe Dynamic Support and Resistance V2 indicator, an easy tool to identify key support, resistance, trendline levels, pivot points and volume data.
Pivot Points.
Calculates support, resistance and trendline levels using pivot points, which are derived from the high, low, and close prices of previous trading periods.
Customize the pivot calculation by using Close' or 'High/Low' and adjusting the lookback periods for both the left and right sides of the pivot calculation.
Pivot points are crucial for forecasting potential market turning points, so it allows traders to adapt the indicator to different market conditions and timeframes.
By using pivot points, traders can spot reversal and consolidation levels or trendlines early on, allowing them to react to them in time.
Volume Levels.
This option focuses on identifying support and resistance levels based on volume data, specifically the Point of Control.
The POC is the highest traded volume price level during a time period.
This POC calculation, allow traders to areas of significant trading levels as support or resistance zones.
Volume-based levels gives insights into market sentiment and showes strong support and resistance based on trading volume.
Traders can choose between pivot-based and volume-based levels or use both simultaneously, depending on their analysis.
The indicator offers custom colors, so the trader can customize their visual analysis to their own style.
It calculates the importance of each level based on the number of touches and the duration it holds.
This indicator is intended for educational and informational purposes only and should not be considered financial advice.
Trading involves significant risk, and you should consult with a financial advisor before making any trading decisions.
The performance of this indicator is not guaranteed, and past results do not predict future performance.
Use at your own risk.
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system.
Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single “zone.”
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
“SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
TrueTrend MaxRThe TrueTrend MaxR indicator is designed to identify the most consistent exponential price trend over extended periods. It uses statistical analysis on log-transformed prices to find the trendline that best fits historical price action, and highlights the most frequently tested or traded level within that trend channel.
For optimal results, especially on high timeframes such as weekly or monthly, it is recommended to use this indicator on charts set to logarithmic scale. This ensures proper visual alignment with the exponential nature of long-term price movements.
How it works
The indicator tests 50 different lookback periods, ranging from 300 to 1280 bars. For each period, it:
- Applies a linear regression on the natural logarithm of the price
- Computes the slope and intercept of the trendline
- Calculates the unbiased standard deviation from the regression line
- Measures the correlation strength using Pearson's R coefficient
The period with the highest Pearson R value is selected, meaning the trendline drawn corresponds to the log-scale trend with the best statistical fit.
Trendline and deviation bands
Once the optimal period is identified, the indicator plots:
- A main log-scale trendline
- Upper and lower bands, based on a user-defined multiple of the standard deviation
These bands help visualize how far price deviates from its core trend, and define the range of typical fluctuations.
Point of Control (POC)
Inside the trend channel, the space between upper and lower bands is divided into 15 logarithmic levels. The script evaluates how often price has interacted with each level, using one of two selectable methods:
- Touches: Counts the number of candles crossing each level
- Volume: Weighs each touch by the traded volume at that candle
The level with the highest cumulative interaction is considered the dynamic Point of Control (POC), and is plotted as a line.
Annualized performance and confidence display
When used on daily or weekly timeframes, the script also calculates the annualized return (CAGR) based on the detected trend, and displays:
- A performance estimate in percentage terms
- A textual label describing the confidence level based on the Pearson R value
Why this indicator is useful
- Automatically detects the most statistically consistent exponential trendline
- Designed for log-scale analysis, suited to long-term investment charts
- Highlights key price levels frequently visited or traded within the trend
- Provides objective, data-based trend and volatility insights
- Displays annualized growth rate and correlation strength for quick evaluation
Notes
- All calculations are performed only on the last bar
- No future data is used, and the script does not repaint
- Works on any instrument or timeframe, with optimal use on higher timeframes and logarithmic scaling
Forex Session + Volume Profile [RunRox]📊 Forex Session + Volume Profile is built especially for traders who work with intra-session liquidity concepts or any strategy that needs a clear visual of trading sessions and the liquidity inside them.
Our team created this indicator to give you better session visibility, flexible session styling, and extra tools that help you navigate the market more easily.
📌 Features:
6 fully customizable sessions
Kill Zone (the high-impact trading window)
Volume Profile for each session
POC / VAL / VAH / LVN levels (Point of Control, Value Area Low, Value Area High, Low Volume Node)
PDH / PDL levels (Previous Day High / Low)
PWH / PWL levels (Previous Week High / Low)
NYM level (New York Market level)
Active sessions table
5 style options for each session
All of this gives you the flexibility to set up exactly the layout you need for your trading. Below, you’ll find a more detailed look at each feature.
🗓️ 6 CUSTOMIZABLE SESSION
The indicator includes six sessions that you can fully customize to fit your needs—everything from naming each session and choosing line colors to adjusting opacity, showing the volume profile, or even turning off a session entirely if you don’t need it.
Plus, you can pick different display styles for each session. As shown in the screenshot below, there are five style options you can apply individually to every session.
5 Style Options for Sessions
BOX
AREA
ZONES
LINES
CURVED
These styles can be customized for each session individually to help you highlight the sessions you care about on your chart. Example below
📢 VOLUME PROFILE
We’ve also integrated a Volume Profile into the indicator to pinpoint important levels on the chart. On top of that, we’ve added extra volume-based levels. Below, you’ll find the settings and a visual demo of how it appears on your chart.
To identify optimal entry points, you can use the following key reference levels:
POC (Point of Control)
VAL (Value Area Low)
VAH (Value Area High)
LVN (Low Volume Node)
You can also customize colors and line styles, or hide any levels you don’t need on your chart.
📐 ADDITIONAL LEVELS
You can display the following levels on your chart:
NYM (New York Market)
PDH (Previous Day High)
PDL (Previous Day Low)
PWH (Previous Week High)
PWL (Previous Week Low)
All of these are fully customizable with color selection and the option to extend lines into the next period.
💹 ACTIVE SESSION TABLE
The active sessions table helps you quickly identify the trading times for the sessions you care about. It’s fully customizable, with options to choose border and background colors for the table itself.
🟠 USAGE
This indicator is highly versatile: use it to simply mark trading sessions on your chart, set up the Kill Zone at your chosen time, or identify the context of the previous session by its most traded range levels. All of this makes the indicator an invaluable tool for any trader!
Dynamic Liquidity Depth [BigBeluga]
Dynamic Liquidity Depth
A liquidity mapping engine that reveals hidden zones of market vulnerability. This tool simulates where potential large concentrations of stop-losses may exist — above recent highs (sell-side) and below recent lows (buy-side) — by analyzing real price behavior and directional volume. The result is a dynamic two-sided volume profile that highlights where price is most likely to gravitate during liquidation events, reversals, or engineered stop hunts.
🔵 KEY FEATURES
Two-Sided Liquidity Profiles:
Plots two separate profiles on the chart — one above price for potential sell-side liquidity , and one below price for potential buy-side liquidity . Each profile reflects the volume distribution across binned zones derived from historical highs and lows.
Real Stop Zone Simulation:
Each profile is offset from the current high or low using an ATR-based buffer. This simulates where traders might cluster their stop-losses above swing highs (short stops) or below swing lows (long stops).
Directional Volume Analysis:
Buy-side volume is accumulated only from bullish candles (close > open), while sell-side volume is accumulated only from bearish candles (close < open). This directional filtering enhances accuracy by capturing genuine pressure zones.
Dynamic Volume Heatmap:
Each liquidity bin is rendered as a horizontal box with a color gradient based on volume intensity:
- Low activity bins are shaded lightly.
- High-volume zones appear more vividly in red (sell) or lime (buy).
- The maximum volume bin in each profile is emphasized with a brighter fill and a volume label.
Extended POC Zones:
The Point of Control (PoC) — the bin with the most volume — is extended backwards across the entire lookback period to mark critical resistance (sell-side) or support (buy-side) levels.
Total Volume Summary Labels:
At the center of each profile, a summary label displays Total Buy Liquidity and Total Sell Liquidity volume.
This metric helps assess directional imbalance — when buy liquidity is dominant, the market may favor upward continuation, and vice versa.
Customizable Profile Granularity:
You can fine-tune both Resolution (Bins) and Offset Distance to adjust how far profiles are displaced from price and how many levels are calculated within the ATR range.
🔵 HOW IT WORKS
The indicator calculates an ATR-based buffer above highs and below lows to define the top and bottom of the liquidity zones.
Using a user-defined lookback period, it scans historical candles and divides the buffered zones into bins.
Each bin checks if bullish (or bearish) candles pass through it based on price wicks and body.
Volume from valid candles is summed into the corresponding bin.
When volume exists in a bin, a horizontal box is drawn with a width scaled by relative volume strength.
The bin with the highest volume is highlighted and optionally extended backward as a zone of importance.
Total buy/sell liquidity is displayed with a summary label at the side of the profile.
🔵 USAGE/b]
Identify Stop Hunt Zones: High-volume clusters near swing highs/lows are likely liquidation zones targeted during fakeouts.
Fade or Follow Reactions: Price hitting a high-volume bin may reverse (fade opportunity) or break with strength (confirmation breakout).
Layer with Other Tools: Combine with market structure, order blocks, or trend filters to validate entries near liquidity.
Adjust Offset for Sensitivity: Use higher offset to simulate wider stop placement; use lower for tighter scalping zones.
🔵 CONCLUSION
Dynamic Liquidity Depth transforms raw price and volume into a spatial map of liquidity. By revealing areas where stop orders are likely hidden, it gives traders insight into price manipulation zones, potential reversal levels, and breakout traps. Whether you're hunting for traps or trading with the flow, this tool equips you to navigate liquidity with precision.
Smart Range DetectorSmart Range Detector
What It Does
This indicator automatically detects and validates significant trading ranges using pivot point analysis combined with logarithmic fibonacci relationships. It operates by identifying specific pivot patterns (High-Low-High and Low-High-Low) that meet fibonacci validation criteria to filter out noise and highlight only the most reliable trading ranges. Each range is continuously monitored for potential mitigation (breakout) events.
Key Features
Identifies both High-Low-High and Low-High-Low range patterns
Validates each range using logarithmic fibonacci relationships (more accurate than linear fibs)
Detects range mitigations (breakouts) and visually differentiates them
Shows fibonacci levels within ranges (25%, 50%, 75%) for potential reversal points
Visualizes extension levels beyond ranges for breakout targets
Analyzes volume profile with customizable price divisions (default: 60)
Displays Point of Control (POC) and Value Area for traded volume analysis
Implements performance optimization with configurable range limits
Includes user-adjustable safety checks to prevent Pine Script limitations
Offers fully customizable colors, line widths, and transparency settings
How To Use It
Identify Valid Ranges : The indicator automatically detects and highlights trading ranges that meet fibonacci validation criteria
Monitor Fibonacci Levels : Watch for price reactions at internal fib levels (25%, 50%, 75%) for potential reversal opportunities
Track Extension Targets : Use the extension lines as potential targets when price breaks out of a range
Analyze Volume Structure : Enable the volume profile mode to see where most volume was traded within mitigated ranges
Trade Range Boundaries : Look for reactions at range highs/lows combined with volume POC for higher probability entries
Manage Performance : Adjust the maximum displayed ranges and history bars settings for optimal chart performance
Settings Guide
Left/Right Bars Look Back : Controls how far back the indicator looks to identify pivot points (higher values find more ranges but may reduce sensitivity)
Max History Bars : Limits how far back in history the indicator will analyze (stays within Pine Script's 10,000 bar limitation)
Max Ranges to Display : Restricts the total number of ranges kept in memory for improved performance (1-50)
Volume Profile : When enabled, shows volume distribution analysis for mitigated ranges
Volume Profile Divisions : Controls the granularity of the volume analysis (higher values show more detail)
Display Options : Toggle visibility of range lines, fibonacci levels, extension lines, and volume analysis elements
Transparency & Color Settings : Fully customize the visual appearance of all indicator elements
Line Width Settings : Adjust the thickness of lines for better visibility on different timeframes
Technical Details
The indicator uses logarithmic fibonacci calculations for more accurate price relationships
Volume profile analysis creates 60 price divisions by default (adjustable) for detailed volume distribution
All timestamps are properly converted to work with Pine Script's bar limitations
Safety checks prevent "array index out of bounds" errors that plague many complex indicators
Time-based coordinates are used instead of bar indices to prevent "bar index too far" errors
This indicator works well on all timeframes and instruments, but performs best on 5-minute to daily charts. Perfect for swing traders, range traders, and breakout strategists.
What Makes It Different
Most range indicators simply draw boxes based on recent highs and lows. Smart Range Detector validates each potential range using proven fibonacci relationships to filter out noise. It then adds sophisticated volume analysis to help traders identify the most significant price levels within each range. The performance optimization features ensure smooth operation even on lower timeframes and extended history analysis.
Casa_VolumeProfileSessionLibrary "Casa_VolumeProfileSession"
Analyzes price and volume during regular trading hours to provide a session volume profile,
including Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL).
Calculates and displays these levels historically and for the developing session.
Offers customizable visualization options for the Value Area, POC, histogram, and labels.
Uses lower timeframe data for increased accuracy and supports futures sessions.
The number of rows used for the volume profile can be fixed or dynamically calculated based on the session's price range and the instrument's minimum tick increment, providing optimal resolution.
calculateEffectiveRows(configuredRows, dayHigh, dayLow)
Determines the optimal number of rows for the volume profile, either using the configured value or calculating dynamically based on price range and tick size
Parameters:
configuredRows (int) : User-specified number of rows (0 means auto-calculate)
dayHigh (float) : Highest price of the session
dayLow (float) : Lowest price of the session
Returns: The number of rows to use for the volume profile
debug(vp, position)
Helper function to write some information about the supplied SVP object to the screen in a table.
Parameters:
vp (Object) : The SVP object to debug
position (string) : The position.* to place the table. Defaults to position.bottom_center
getLowerTimeframe()
Depending on the timeframe of the chart, determines a lower timeframe to grab volume data from for the analysis
Returns: The timeframe string to fetch volume for
get(volumeProfile, lowerTimeframeHigh, lowerTimeframeLow, lowerTimeframeVolume, lowerTimeframeTime, lowerTimeframeSessionIsMarket)
Populated the provided SessionVolumeProfile object with vp data on the session.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to populate
lowerTimeframeHigh (array) : The lower timeframe high values
lowerTimeframeLow (array) : The lower timeframe low values
lowerTimeframeVolume (array) : The lower timeframe volume values
lowerTimeframeTime (array) : The lower timeframe time values
lowerTimeframeSessionIsMarket (array) : The lower timeframe session.ismarket values (that are futures-friendly)
drawPriorValueAreas(todaySessionVolumeProfile, extendYesterdayOverToday, showLabels, labelSize, pocColor, pocStyle, pocWidth, vahlColor, vahlStyle, vahlWidth, vaColor)
Given a SessionVolumeProfile Object, will render the historical value areas for that object.
Parameters:
todaySessionVolumeProfile (Object) : The SessionVolumeProfile Object to draw
extendYesterdayOverToday (bool) : Defaults to true
showLabels (bool) : Defaults to true
labelSize (string) : Defaults to size.small
pocColor (color) : Defaults to #e500a4
pocStyle (string) : Defaults to line.style_solid
pocWidth (int) : Defaults to 1
vahlColor (color) : The color of the value area high/low lines. Defaults to #1592e6
vahlStyle (string) : The style of the value area high/low lines. Defaults to line.style_solid
vahlWidth (int) : The width of the value area high/low lines. Defaults to 1
vaColor (color) : The color of the value area background. Defaults to #00bbf911)
drawHistogram(volumeProfile, bgColor, showVolumeOnHistogram)
Given a SessionVolumeProfile object, will render the histogram for that object.
Parameters:
volumeProfile (Object) : The SessionVolumeProfile object to draw
bgColor (color) : The baseline color to use for the histogram. Defaults to #00bbf9
showVolumeOnHistogram (bool) : Show the volume amount on the histogram bars. Defaults to false.
Object
Object Contains all settings and calculated values for a Volume Profile Session analysis
Fields:
numberOfRows (series int) : Number of price levels to divide the range into. If set to 0, auto-calculates based on price range and tick size
valueAreaCoverage (series int) : Percentage of total volume to include in the Value Area (default 70%)
trackDevelopingVa (series bool) : Whether to calculate and display the Value Area as it develops during the session
valueAreaHigh (series float) : Upper boundary of the Value Area - price level containing specified % of volume
pointOfControl (series float) : Price level with the highest volume concentration
valueAreaLow (series float) : Lower boundary of the Value Area
startTime (series int) : Session start time in Unix timestamp format
endTime (series int) : Session end time in Unix timestamp format
dayHigh (series float) : Highest price of the session
dayLow (series float) : Lowest price of the session
step (series float) : Size of each price row (calculated as price range divided by number of rows)
pointOfControlLevel (series int) : Index of the row containing the Point of Control
valueAreaHighLevel (series int) : Index of the row containing the Value Area High
valueAreaLowLevel (series int) : Index of the row containing the Value Area Low
lastTime (series int) : Tracks the most recent timestamp processed
volumeRows (map) : Stores volume data for each price level row (key=row number, value=volume)
ltfSessionHighs (array) : Stores high prices from lower timeframe data
ltfSessionLows (array) : Stores low prices from lower timeframe data
ltfSessionVols (array) : Stores volume data from lower timeframe data
Fixed Range FootprintFixed Range Footprint allows you to analyze the Footprint over a specified time period. By enabling the "Extend Right" option, the Footprint transforms into a classic mode, extending from the starting point to the most recent bar in real-time.
Input Options:
Group: Coordinates
"Start range": Defines the starting coordinate for the Footprint period.
"End range": Defines the ending coordinate for the Footprint period.
Group: Row Size
"Ticks Per Row": Directly sets the price step, calculated by multiplying the input value by syminfo.mintick.
"Auto": Activates automatic mode for selecting the "Ticks Per Row" value.
"Max row": Relevant in auto mode; it limits the number of rows within a bar. The automatic calculation for "Ticks Per Row" is based on the first available bar and applied to subsequent bars.
Group: Imbalance
"Imbalance Percent": Sets a percentage-based coefficient to determine price level Imbalance by comparing the diagonal buy price to the previous sell price.
"Stacked levels": Defines the minimum number of consecutive Imbalance levels required to draw extended lines.
Group: Support
"Show Footprint Info": Toggles the display of Footprint information.
Group: Value Area
"Value Area": Sets the percentage for the Value Area.
"POC": Toggles the Point of Control (POC).
"VAH": Toggles the Value Area High (VAH).
"VAL": Toggles the Value Area Low (VAL).
"Show Volume Profile": Displays buy/sell volume at each level.
Group: Alerts
"Alert on New Imbalance": Enables alerts for the creation of new Imbalance levels.
"Alert on New Imbalance Line": Enables alerts for the creation of new Imbalance lines.
"Alert on Stop Past Imbalance Line": Enables alerts when price stops past an Imbalance line.
