Advance SMC (Milad Tayefi)Smart money indicator which recognizes market structure and produces buy/sell signals.
Indicateurs et stratégies
EMA RANGEEMA RANGE
EMA RANGE is a simple, price-focused indicator that plots an Exponential Moving Average (EMA) with a dynamic ATR-based range above and below it. The ATR bands adapt to market volatility, helping traders visualize normal price movement and identify potential expansion or compression zones.
🔹 Features
Customizable EMA length
ATR range bands plotted above and below the EMA
Adjustable ATR length and multiplier
Toggle to enable or disable ATR ranges
Fully customizable colors and line thickness from the Style tab
🔹 How It Works
The EMA serves as the central trend reference.
The Average True Range (ATR) measures volatility.
Upper and lower bands are calculated as:
EMA ± (ATR × Multiplier)
When price remains inside the range, conditions are considered normal. Moves outside the range may signal increased volatility, momentum expansion, or potential breakout conditions.
🔹 Best Use Cases
Trend continuation and pullback analysis
Volatility-based risk framing
Dynamic support and resistance visualization
Works on any market and timeframe
EMA RANGE is designed to stay clean, responsive, and easy to interpret—making it suitable for both discretionary and systematic traders.
MGC1! - Stats jour du Weekly High/Low Lun VenIndicator Name: Weekly High/Low Day Statistics (Probability Dashboard)
Description:
This indicator provides a statistical edge by analyzing historical price action to determine which day of the week is most likely to form the Weekly High or the Weekly Low.
Designed for intraday traders and swing traders, this tool helps you anticipate the structure of the weekly candle. By understanding the probabilities of when the extremums (HOD/LOD of the week) usually occur, you can better align your trade setups with the true weekly expansion.
Key Features:
Historical Analysis: Calculates statistics based on a user-defined lookback period (default is 104 weeks / 2 years) to ensure statistical significance.
Probability Dashboard: Displays a clean table on the chart showing the percentage chance for each day (Monday to Friday) to be the High or Low of the week.
Rolling Window: Automatically updates data at the close of every week to keep probabilities current.
How to Use (ICT/SMC Context):
Weekly Profiles: Use this data to validate "Classic Tuesday Low" or "Wednesday/Thursday Reversal" profiles.
Bias Confirmation: If the statistics show a 40% chance of the Weekly Low forming on a Tuesday, and price is diving into a Higher Timeframe POI on Tuesday morning, this adds high-probability confluence to your long setups.
Targeting: If the Weekly High typically forms on Thursday and it is currently Wednesday, you can hold runners for an expansion into the next day.
Trend SignalSystem Trend Signal — What It Does
Shows you when your trading system says "be long" vs "stay out" — with a trailing line and buy/sell labels only when the state flips.
The Rules Built In:
BUY state requires ALL of these:
Price above 50-DMA (intermediate trend up)
10-DMA above 20-DMA (short-term trend confirmed)
Sell/Buy Pressure Ratio below 1.5 AND flattening or falling (sellers not aggressive)
RSI above 30 and not making lower lows (momentum OK)
SELL state triggers on ANY of these :
Price drops below 50-DMA (trend broken)
Pressure Ratio spikes above 2.0 (heavy selling)
RSI making lower lows AND below 40 (momentum failing)
What You See:
"Buy" label appears only when state flips from sell → buy
"Sell" label appears only when state flips from buy → sell
No spam. One label per flip.
The Trailing Line:
Uses ATR to set distance from price.
In buy state: line = close - (ATR × 2.0), ratchets up only
In sell state: line = close + (ATR × 2.0), ratchets down only
Dolar MEP Implicito de CEDEARs y ADRs**Implicit USD Exchange Rate from CEDEARs and ADRs**
This indicator calculates the implicit ARS/USD exchange rate using CEDEAR pairs traded on the Argentine stock exchange (BYMA). It compares the ARS price of a CEDEAR against its USD MEP version (D-suffix ticker) to derive the implicit dollar rate.
**How it works:**
Divide the ARS ticker price by the D-suffix ticker price. Example: AAPL / AAPLD = Implicit rate.
**Features:**
• Top 10 CEDEARs ranked by 30-day average volume
• AL30/AL30D bond benchmark as white reference line
• Filter: Top 5, Top 10, or All
• Custom ticker input field
• Info box with best buy and best sell rates
• Colored labels for each ticker
**Default Tickers:** PAMP, GGAL, AMZN, IBIT, GOOGL, NVDA, MELI, VIST, NFLX, GLD
**Usage:** Apply to any chart. Works independently of chart symbol.
**Disclaimer:** For informational and educational purposes only. Eco Valores S.A. does NOT provide investment advice. Consult a qualified financial advisor before investing.
Eco Valores S.A. - ALyC 109/CNV
Highlighted Range (3 Sessions)3 session customizable range. All one color customizable for simplicity.
HMA & RSI Delta Hybrid SignalsA lag-free trend follower combining Hull Moving Average (HMA) with RSI Momentum Delta to filter false signals and catch high-probability reversals.
# 🚀 HMA & RSI Delta Hybrid Signals
This indicator represents a hybrid approach to trend trading by combining the smoothness of the **Hull Moving Average (HMA)** with the explosive detection capabilities of **RSI Momentum Delta**.
Unlike standard indicators that rely solely on price crossovers, this tool confirms the trend direction with the *velocity* of the price change (Momentum Delta), reducing false signals in choppy markets.
### 🧠 How It Works?
**1. Trend Detection (HMA):**
The script uses the **Hull Moving Average**, known for being extremely fast and lag-free, to determine the overall market direction.
* **Orange Line:** Represents the HMA Trend. The slope determines if we are in an Uptrend or Downtrend.
**2. Momentum Confirmation (RSI Delta):**
Instead of looking at raw RSI levels (like 70 or 30), this algorithm calculates the **"Delta"** (Absolute change from the previous bar).
* It asks: *"Is the price moving in the trend direction with enough speed?"*
* If the RSI jumps significantly (determined by the `Delta Threshold`), it confirms a strong entry.
### 🎯 Signal Modes (Sensitivity)
You can choose between two modes depending on your trading style:
* **🛡️ Conservative Mode (Default):**
* Strict filtering.
* Requires the Trend to match the HMA direction AND the RSI Delta to exceed the specific threshold (e.g., 0.8).
* *Best for:* Avoiding false signals in sideways markets.
* **⚔️ Aggressive Mode:**
* Faster entries.
* Requires the Trend to match the HMA direction AND any positive momentum change in RSI.
* *Best for:* Scalping or catching the very beginning of a move.
### ✨ Key Features
* **Non-Repainting Signals:** Once a bar closes, the signal is fixed.
* **Non-Repeating:** It will not spam multiple "BUY" signals in a row; it waits for a trend change or reset.
* **Visual Trend:** Background color changes based on the HMA slope (Green for Bullish, Purple for Bearish).
* **Fully Customizable:** Adjust HMA length, RSI period, and Delta sensitivity.
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**⚠️ DISCLAIMER:** This tool is for educational and analytical purposes only. Always manage your risk.
Slope Averages
📊 Indicator Overview: Three Moving Averages Slope Table
This indicator is designed to calculate and display the slopes and averages of three different moving averages (MAs) in a table format. It helps traders quickly visualize the direction and strength of multiple moving averages, as well as their combined averages, across different timeframes.
⚙️ Inputs and Configuration
• MA Type 1, 2, 3: Choose the type of moving average for each line. Options:
• (Exponential Moving Average)
• (Simple Moving Average)
• (Weighted Moving Average)
• (Volume-Weighted Moving Average)
• (a custom smoother using multiple EMAs)
• Length 1, 2, 3: Periods for each moving average (e.g., 20, 50, 100).
• Source: The price source used (default = ).
• Extra Timeframes (optional): You can configure up to 3 additional timeframes (e.g., 1h, 4h, Daily) to compare the combined average across different chart periods.
🔧 Functions Explained
1. tilson(src, length)
• A custom moving average that smooths price using 8 sequential EMAs.
• Produces a smoother line than a standard EMA.
2. getMA(src, length, maType)
• Selects the correct moving average type based on user input.
• Returns the chosen MA value.
3. Slope Calculation
• Each slope is calculated as:
• This converts the difference between current and previous MA values into an angle in degrees.
• Positive slope = upward trend, negative slope = downward trend.
4. Combined Slopes
• : Average slope of all three MAs.
• , , : Average slopes of pairs of MAs.
5. Combined Averages
• : Average of MA1 and MA2.
• : Average of MA2 and MA3.
• : Average of MA1 and MA3.
• : Average of all three MAs.
6. Color Function
• : Returns green if value ≥ 0, red if value < 0.
• Used to color table cells for quick visual feedback.
📋 Table Output
The table shows:
1. Individual slopes of MA1, MA2, MA3.
2. Average slope of all three.
3. Combined averages (M1+M2, M2+M3, M1+M3).
4. Combined slopes of pairs.
5. Overall average .
6. Optional: RSI or multi-timeframe averages can also be added.
Each value cell is colored green if positive, red if negative, making it easy to spot bullish or bearish conditions.
🎯 How to Use It
• Trend Strength: Look at the slope values. Steeper positive slopes = stronger uptrend; steep negative slopes = stronger downtrend.
• Confluence: When all three MAs and their combined averages point in the same direction, it signals strong trend alignment.
• Multi-Timeframe Analysis: Configure extra timeframes to see if short-term and long-term averages agree. If they align, confidence in the trend increases.
• RSI Integration (optional): Add RSI to confirm momentum. For example, bullish slope + RSI > 50 = stronger buy signal.
✅ Practical Example
• MA1 = EMA(20), MA2 = SMA(50), MA3 = WMA(100).
• If slope1, slope2, slope3 are all positive and green, and is also green → strong bullish trend.
• If slopes are mixed (some green, some red), the market is consolidating.
• If all slopes are red and is red → strong bearish trend.
Black-Out PeriodYou'll need to input the black-out logic of the company you are analyzing manually. For example Liveperson, Insider trading and disclosure policy can be found here:
www.sec.gov
Under paragraph nr 12 we find:
"12.Black-Out Period. During the end of each fiscal quarter and until public disclosure of the financial results for that quarter, persons subject to this Policy may possess material nonpublic information about the expected financial results for the quarter. Even if you don’t actually possess any such information, any trades by you during that period may give the appearance that you are trading on inside information. Accordingly, the Company has designated a regularly-scheduled quarterly “black-out period” on trading beginning with the close of business on the 15th day of the last month of each fiscal quarter (or the close of business on the last day on which The Nasdaq Global Select Market is open prior to such 15th day, in the event that the Nasdaq Global Select Market is not open on such 15th day) and ending at the close of the second full trading day (day on which the relevant stock market is open) after public disclosure of the quarter’s financial results."
So we put in the values "15" and "2"
Note that other rules than those specific dates around earnings applies, and not all employees are subject to the same rules.
Unmitigated High Low (Day/MTF)
# Unmitigated High Low (Day/MTF)
## Overview
The **Unmitigated High Low (Day/MTF)** indicator tracks previous timeframe highs and lows that remain "unmitigated" (untouched by price) and displays them as dynamic support and resistance levels. By default, the indicator monitors daily highs and lows, making it ideal for intraday traders seeking key institutional levels, though it supports any multi-timeframe (MTF) interval. The indicator extends horizontal lines from each level until price touches them, creating visual "zones of interest" where price action may react.
## What It Does
This indicator identifies and plots two types of levels on your chart:
- **High Levels** (yellow lines) - Previous timeframe highs that price has not yet reached or exceeded
- **Low Levels** (cyan lines) - Previous timeframe lows that price has not yet broken below
Each time a new timeframe period completes (e.g., daily candle closes), the indicator captures that period's high and low and extends them forward as horizontal reference lines. When price finally touches or crosses these levels, they become "mitigated" - the line stops extending, becomes transparent (60% opacity), and is marked as historical.
## Key Features
**Multi-Timeframe Capability**: While defaulting to daily ("D") timeframe, you can switch to any interval (15-minute, 4-hour, weekly, etc.) to match your trading style.
**Band Visualization**: The indicator creates colored bands between the two most recent active levels in each direction - an upper band (purple fill) between the 1st and 2nd unmitigated highs, and a lower band (cyan fill) between the 1st and 2nd unmitigated lows.
**Visual Clarity**: Active unmitigated levels display in full color with customizable line width (default: 2), while mitigated levels fade to 60% transparency, helping you distinguish between current zones and historical references.
## How to Use It
Add the indicator to your chart and observe where unmitigated levels cluster - these zones often act as magnets for institutional order flow. The most recent unmitigated high represents overhead supply/resistance, while the most recent unmitigated low represents underlying demand/support. Traders commonly use these levels for:
- Entry zones when price approaches unmitigated levels with confluent signals
- Stop-loss placement beyond unmitigated levels to avoid institutional sweeps
- Profit targets at the next unmitigated level in the direction of your trade
- Breakout confirmation when price finally mitigates a long-standing level
The colored bands between the 1st and 2nd levels highlight "zones of friction" where price may consolidate or reverse before continuing its trend.
## Settings
**HL interval**: Select your desired timeframe (default: "D" for daily)
**High Line Color**: Color for unmitigated high levels (default: yellow #fff176)
**Low Line Color**: Color for unmitigated low levels (default: cyan #00bcd4)
**Upper Band Fill**: Fill color between 1st and 2nd highs (default: purple #880e4f at 85% transparency)
**Lower Band Fill**: Fill color between 1st and 2nd lows (default: cyan #00bcd4 at 85% transparency)
**Line Width**: Thickness of level lines (default: 2, range: 1-5)
Relative StrengthRelative strength obetween a stock and the reference index (i.e. Intesa San Paolo & FTSEMIB).
Data from the book "Technical analysis explained" from Martin J.Pring, chapter 30.
Useful for understanding intermediate trend of a single stock through the fulfillment of the following conditions:
1. Price above the SMA of 40 weeks
2. KST of price above zero
3. RS between price of stock (close) and reference Index
4. RS of KSTs (over stock price and over Index)
RS of long term KSTRelative strength of KST between a stock and the reference index (i.e. Intesa San Paolo & FTSEMIB).
Timeframe : weekly.
Data from the book "Technical analysis explained" from Martin J.Pring, chapter 30.
Useful for understanding intermediate trend of a single stock through the fulfillment of the following conditions:
1. Price above the SMA of 40 weeks
2. KST of price above zero
3. RS between price of stock (close) and reference Index
4. RS of KSTs (over stock price and over Index)
VWMA Strategy Signals - Daily ChartsVWMA Indicator optimized for Daily Charts. Uses Supertrend, RSI, EMA and VWMA to identify buy and sell opportunities
Daily Chart - VWMA Strategy SignalsIndicator uses Supertrend, RSI, EMA and VWMA to plot entry signals on the Daily chart
Composite Index [Auto Signals]Composite Index
Description (描述正文):
Overview This is an enhanced version of the famous Composite Index (CI) developed by Connie Brown. While the traditional RSI is confined between 0 and 100, often masking true momentum in strong trends, the Composite Index is uncapped and incorporates a momentum component to reveal the market's true structural strength.
I have engineered this script to include Automated Signal Markers based on the crossover of the Composite Index and its Slow Moving Average. This helps traders instantly identify momentum shifts and "Timing" entries/exits without manual guesswork.
Key Features
Uncapped Momentum: Unlike RSI, the CI can go anywhere, preventing the "flattening" effect seen in strong trending markets (e.g., TSLA, NVDA).
Automated Signals:
▲ Green Triangle (Launch): Triggers when the Gray CI line crosses ABOVE the Red Slow MA. This indicates bearish momentum is exhausted and bulls are regaining control.
▼ Red Triangle (Warning): Triggers when the Gray CI line crosses BELOW the Red Slow MA. This indicates bullish momentum is failing, serving as an early warning for exits or tightening stops.
Classic Formula: Uses the standard Connie Brown parameters (14, 9, 3) + SMA smoothing for reliable divergence detection.
How to Use This Indicator This script is best used as a companion to trend indicators like TTM Squeeze or Moving Average Ribbons.
For Entries (The "Dip Buy"): In an uptrend, wait for a pullback. When the Green Triangle (▲) appears, it confirms that the pullback is over and momentum has turned back up.
For Exits (The "Top"): Look for Divergence. If Price makes a Higher High but the Composite Index makes a Lower High—followed by a Red Triangle (▼)—this is a high-probability sell signal.
The "Slow MA" Filter: The signals are generated only when the CI crosses the Slow MA (Red Line). This filters out the noise of minor fluctuations (crossing the Green line) and focuses on significant momentum changes.
Settings
RSI Period: 14 (Default)
Momentum Period: 9 (Default)
Signal Logic: Crossover/Crossunder of the Slow MA (33 Period).
Disclaimer This tool is for educational purposes only. Always combine momentum signals with price action and structure analysis.
MRX_M7 777//@version=5
indicator("MRX_M7 777 MTF ALERT (jgar)", overlay=true)
// === SOZLAMALAR ===
tfInput = input.timeframe("15", "Qaysi TF")
showZone = input.bool(true, "Zonani ko‘rsat / o‘chirish")
zoneColor = color.new(color.lime, 75)
// === MTF DATA (BITTA QATORDA!) ===
= request.security(syminfo.tickerid, tfInput, )
// === ENGULF ===
engulf = mtfHigh > mtfHigh and mtfLow < mtfLow
// === ZONA ===
zoneHigh = mtfHigh
zoneLow = mtfLow
// === CHARTGA CHIZISH ===
if engulf and showZone
box.new(bar_index - 1, zoneHigh, bar_index, zoneLow, bgcolor = zoneColor, border_color = color.lime)
label.new(bar_index, zoneHigh, "ENGULF " + tfInput, style = label.style_label_down, textcolor = color.white, bgcolor = color.lime)
// === ALERT ===
alertcondition(engulf, title="MTF ENGULF", message="ENGULF " + tfInput + " timeframe da sodir bo‘ldi")
Weekly - VWMA Supertrend SignalsIndicators uses Supertrend, EMA, RSI and VWMA to filter for weekly chart entry signals
Market Efficiency Ratio [Interakktive]The Market Efficiency Ratio decomposes price movement into two components: net progress vs wasted movement. This tool exposes the underlying math that most traders never see, helping you understand when price is moving efficiently versus chopping sideways.
Unlike simple trend indicators, this shows you WHY price movement matters — not just whether it's up or down, but how much of that movement was useful directional progress versus noisy oscillation.
█ WHAT IT DOES
• Calculates Efficiency Ratio (0–1 or 0–100) measuring directional progress
• Exposes Net Displacement (how far price actually moved)
• Exposes Path Length (total distance price traveled)
• Calculates Chop Cost (wasted movement)
• Visual zones for high/mid/low efficiency states
█ WHAT IT DOES NOT DO
• NO signals, NO entries/exits, NO buy/sell
• NO performance claims
• NO predictions — purely diagnostic
• This is a tool for understanding price behavior
█ HOW IT WORKS
The efficiency ratio answers one question: "Of all the movement price made, how much was useful progress?"
🔹 THE MATH
Over a lookback period of N bars:
Net Displacement = |Close - Close |
Path Length = Σ |Close - Close | for all bars
Efficiency Ratio = Net Displacement / Path Length
🔹 INTERPRETATION
• Efficiency = 1.0 (100%): Price moved in a straight line — every tick was progress
• Efficiency = 0.5 (50%): Half the movement was wasted in back-and-forth chop
• Efficiency = 0.0 (0%): Price ended exactly where it started — all movement was noise
🔹 CHOP COST
This is the "wasted movement" — how much price traveled without making progress:
Chop Cost = Path Length - Net Displacement
Chop % = Chop Cost / Path Length
High chop cost means lots of effort for little result — a warning sign for trend traders.
█ VISUAL GUIDE
Three efficiency zones:
• GREEN (≥70): High efficiency — strong directional movement
• YELLOW (30-70): Mixed efficiency — some progress, some chop
• RED (<30): Low efficiency — mostly noise, little progress
█ INPUTS
Lookback Length (default: 14)
Number of bars to calculate efficiency over. Higher values produce smoother readings but respond slower to changes.
Smoothing Length (default: 5)
EMA smoothing applied to the output. Reduces noise in the efficiency reading.
Apply Smoothing (default: true)
Toggle EMA smoothing on/off.
Scale Mode (default: 0–100)
Display as percentage (0-100) or decimal ratio (0-1).
Show Reference Bands (default: true)
Display the high/low efficiency threshold lines.
Low/High Efficiency Level (default: 30/70)
Thresholds for classifying efficiency zones.
Overlay Effect (default: None)
• None: No overlay
• Background Tint: Subtle chart background color in high/low zones
• Bar Highlight: Color bars during low efficiency periods
Show Data Window Values (default: true)
Export all raw values (Net Displacement, Path Length, Efficiency, Chop Cost, Chop %) to the data window for analysis.
█ USE CASES
This indicator helps traders understand:
• Why some trends are "clean" and others are "messy"
• When price is consolidating vs trending (without using volume)
• The relationship between movement and progress
• Why high-chop environments are difficult to trade
This is the foundational concept behind more advanced regime detection systems.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes
Note: This is a price-only indicator — no volume required
█ DISCLAIMER
This indicator is for informational and educational purposes only. It does not constitute financial advice. It does not generate trading signals. Past performance does not guarantee future results. Always conduct your own analysis.
Auto-Anchored Fibonacci Volume Profile [Custom Array Engine]Description:
1. The Theoretical Foundation: Structure vs. Participation In professional technical analysis, traders often struggle to reconcile two distinct datasets: Price Geometry (where price should go) and Market Participation (where money actually went).
Why Fibonacci? (The Structure) Fibonacci Retracements map the mathematical structure of a trend. They identify psychological and algorithmic "interest zones" (0.382, 0.5, 0.618) where a correction is statistically likely to terminate. However, Fibonacci levels are theoretical—they are "lines in the sand" that do not guarantee liquidity or reaction.
Why Volume Profile? (The Verification) Volume Profile maps the historical exchange of shares at specific price levels. It reveals "fair value" (High Volume Nodes) and "market imbalance" (Low Volume Nodes). It is the only tool that verifies if a specific price level was actually accepted by institutional participants.
2. Underlying Calculations (The Custom Engine) This script operates on a custom-built calculation engine that bypasses standard built-in functions entirely. It uses Pine Script Arrays to build a Volume Profile from scratch. Here is the breakdown of the proprietary code logic:
A. The "Smart-Fill" Distribution Algorithm (Solves Gapping)
The Problem: Standard volume scripts often assign a candle's entire volume to a single price row. In volatile markets or steep trends, this creates visual "gaps" or a "barcode" effect because price moved too fast to register on every row.
My Solution: I wrote a custom loop that calculates the vertical overlap of every candle against the profile grid.
The Math: Volume Per Bin = Total Candle Volume / Bins Touched.
The Result: If a single volatile candle spans 10 price rows (bins), the script mathematically divides that volume and distributes it equally into all 10 array indices. This generates a solid, continuous distribution curve that accurately reflects price action through the entire candle range, not just the close.
B. Dynamic Arrays & Split-Volume Logic The script initializes two separate floating-point arrays (buyVolArray and sellVolArray) sized to the user's resolution (up to 300 rows). It iterates through the specific time-window of the swing:
If Close >= Open, the calculated volume slice is injected into the Buy Array.
If Close < Open, it is injected into the Sell Array.
These arrays are then visually stacked to render the dual-color profile, allowing traders to see the "Delta" (Buyer vs. Seller aggression) at key structural levels.
C. Custom Garbage Collection (Performance) To enable the "Auto-Anchoring" feature without causing chart lag or visual artifacts ("ghosting"), the script includes a Garbage Collection System. Before drawing a new profile, the script iterates through a tracking array of all existing objects (box.delete, line.delete) and clears them from memory. This ensures the indicator remains lightweight and responsive even when dragging chart margins or switching timeframes.
3. The Synthesis: Why Combine Them? The core philosophy of this script is Confluence . A Fibonacci level without volume is merely a suggestion; a Fibonacci level backed by volume is a defensive wall. By algorithmically anchoring a Volume Profile to the exact coordinates of a Fibonacci swing, this tool allows traders to instantly answer critical questions:
"Is the Golden Pocket (0.618) supported by a High Volume Node (HVN), or is it a Low Volume Node (LVN) that price might slice through?"
"Is the Shallow Retracement (0.382) holding because of structural support, or just a lack of selling pressure?"
4. How to Read the Indicator
The Geometry: The script automatically detects the trend and draws standard Fib levels (0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0).
The Confluence Check: Look for the Point of Control (Red Line). If this High Volume Node aligns with a key Fib level (e.g., the 0.618), the probability of a reversal increases significantly.
The Imbalance Check: Look for "Valleys" in the profile (Low Volume Nodes). These gaps often act as "slippage zones" where price travels quickly between structural levels.
Buy/Sell Splits: The dual-color bars (Teal/Red) reveal the composition of the volume. A 0.618 level held up by dominant Buy Volume is a stronger bullish signal than one with mixed volume.
5. Settings & Customization
Lookback Length: Sensitivity of the swing detection (Default: 200 bars).
Resolution: Granularity of the profile rows (Default: 100). Higher values provide smoother definition.
Width (%): Responsive sizing that scales the profile relative to the trend's duration.
Extend Lines: Option to project structural levels infinitely to the right.
Disclaimer This script is an analytical tool for visualizing historical market data. It does not provide trade signals or financial advice.
Session Relative VolumeSession Relative Volume is an advanced intraday futures volume indicator that analyzes volume separately for Asia, London, and New York sessions - something standard relative volume tools can’t do.
Instead of aggregating the entire day’s volume, the indicator compares current volume to historical averages for the same session and time of day, allowing you to spot true volume strength and meaningful spikes, especially around session opens.
Background
Relative volume helps traders spot unusual activity: high volume often signals institutional participation and trending days, while low volume suggests weak commitment and possible mean reversion. In futures markets, sessions ( Asia, London, New York ) must be analyzed separately, but TradingView’s Relative Volume in Time aggregates the entire day, masking session-specific behavior - especially during the New York open. Since volume can vary by more than 20× between sessions, standard averages struggle to identify meaningful volume spikes when trader conviction matters most.
Indicator Description
The “Session Relative Volume” indicator solves these problems by calculating historical average volume specific to each session and time of day, and comparing current volume against those benchmarks. It offers four display modes and fully customizable session times
Altogether, it provides traders with a powerful tool for analyzing intraday futures volume, helping to better assess market participation, trader conviction, and overall market conditions - ultimately supporting improved trading decisions.
Parameters
Mode – display mode:
R-VOL: Relative cumulative session-specific volume at time
VOL CUM: Cumulative session volume at time compared to historical average cumulative session-specific volume
VOL AVG: Average session intrabar volume at time compared to historical average session-specific intrabar volume
VOL: Individual bars volume, highlighting (solid color) unusual spikes
Lookback period – number of days used for calculating historical average session volume at time
MA Len – length of the moving average, representing average bar volume within a session based on previous periods (different from historical cumulative volume!). Used only in VOL and VOL AVG modes
MA Thresh – deviation from moving average, used to detect bar volume spikes (bar volume > K × moving average)
Start Time – End Time and Time Zone parameters for each session. The time zone must be set using TradingView’s format (e.g., GMT+1).
