Dual SuperTrend, Ichimoku and DMI Color Weighted by DGTThis study interprets SuperTrend with Ichimoku Cloud, one of the popular technical analysis indicator, and interprets Directional Movement (DMI), which is another quite valuable technical analysis indicator.
Then combines the interpreted SuperTrend with interpreted Directional Movement (DMI) and Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ (permission has been granted from the author)
Here are details of the concept applied
1- SuperTrend Line colored based on Ichimoku Cloud
Definition
The Ichimoku Cloud, developed by Goichi Hosoda and published in the late 1960s, is a collection of technical indicators that give it a unique capacity to show support and resistance levels, momentum and trend direction
What Does the Ichimoku Cloud Tells?
The overall trend is up when price is above the cloud, known as Kumo Cloud, down when price is below the Kumo Cloud, and trendless or transitioning when price is in the Kumo Cloud
When Senkou Span A (Leading Span A) is rising and above Senkou Span B (Leading Span B), this helps confirm the uptrend and space between the lines is typically colored green. When Senkou Span A is falling and below Senkou Span B, this helps confirm the downtrend. The space between the lines is typically colored red
Traders often use the Kumo Cloud as an area of support and resistance depending on the relative location of the price. The Kumo Cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time
Crossovers, also known as TK Cross among Ichimoku Cloud traders, are another way the indicator can be used. Watch for the Tenkan-Sen Line, or Conversion Line, to move above the Kijun-Sen Line, or Base Line, especially when price is above the Kumo cloud. This can be a powerful buy signal. One option is to hold the trade until the Tenkan-Sen drops back below the Kijun-Sen Line. Any of the other lines could be used as exit points as well.
With this study:
Allow Traders to use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns
The Ichimoku Cloud can make a chart look busy with all the lines. To Remedy this a different approach is applied in this study showing the Price and the Kumo Cloud relation as well as TK Crosses displayed. The SuperTrend Indicator is chosen to display Ichimoku Indicator, where the SuperTrend is another trend following indicator.
How it works:
SuperTrend Line is colored as:
Green when the Price is above the Kumo Cloud
Red when the Price is below the Kumo Cloud
Black when the Price is within the Kumo Cloud
And Finally Blue when the Kumo Cloud Is not ready to be drawn or not Kumo Cloud available
Additionally intensity of the colors used in all cases above are defined by values of Tenkan-Sen and Kijun-Sen Line, which allows us to detect TK Crosses
2- Plots Colored Directional Movement Line
Definition
Directional Movement (DMI) (created by J. Welles Wilder ) is actually a collection of three separate indicators combined into one. Directional Movement consists of the Average Directional Index (ADX) , Plus Directional Indicator (+D I) and Minus Directional Indicator (-D I) . ADX's purposes is to define whether or not there is a trend present. It does not take direction into account at all. The other two indicators (+DI and -DI) are used to compliment the ADX. They serve the purpose of determining trend direction. By combining all three, a technical analyst has a way of determining and measuring a trend's strength as well as its direction.
This study combines all three lines in a single colored shapes series plotted on the top of the price chart indicating the trend strength with different colors and its direction with triangle up and down shapes.
What to look for
Trend Strength : Analyzing trend strength is the most basic use for the DMI. Wilder believed that a DMI reading above 25 indicated a strong trend, while a reading below 20 indicated a weak or non-existent trend
Crosses : DI Crossovers are the significant trading signal generated by the DMI
With this study
A Strong Trend is assumed when ADX >= 25
Bullish Trend is defined as (+D I > -DI ) and (ADX >= 25), which is plotted as green triangle up shape on top of the price chart
Bearish Trend is defined as (+D I < -DI ) and (ADX >= 25), which is plotted as red triangle down shape on top of the price chart
Week Trend is assumed when 17< ADX < 25, which is plotted as black triangles up or down shape, depending on +DI-DI values, on top of the price chart
Non-Existent Trend is assumed when ADX < 17, which is plotted as yellow triangles up or down shape, depending on +DI-DI values, on top of the price chart
Additionally intensity of the colors used in all cases above are defined by comparing ADX’s current value with its previous value
3- Volume Based Colored Bars indicator created by Kıvaç ÖZBİLGİÇ
Volume Based Colored Bars colors the bars into volume weighted signals increasing the visibility of the Volume changes. Intensity of the colors of the bars varies according to average value of the volume for given length of bars (default value set to 30 bars)
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Tìm kiếm tập lệnh với "support resistance"
Storm Trading System This script is inspired by the following :
Fractal Dow RSI Support and Resistance ;
Moving Average Clouds ;
Let's start.
This command is based on a fun description of where we are.
Technical analysis methods are likened to a storm.
Clouds as moving average,risk factor as lightning,
fractals were taken as green and red rain.
In this system:
4 Exponential Moving Averages, ( EMA15, EMA30 , EMA45 , EMA60 ),
interpretation of my own work, Dow Factor RSI, as Fractal Support and Resistance,
interpretation of my own work , DVOG Risk Factor : with changeable background and bar color.
Fractal support resistance level codes do not belong to me.
So I'm not putting a license.
But the other codes are my labor.
Consider the risk factor not as a stop, but as a region of high attention.
It is a warning before hard movements.
And watch out for turbulence in the clouds :)
The regions above and below the clouds are major trend zones, which may take a long time.
Guide the fractals in these areas.
It allows you to comment on this and tons of similar things.
And you see where you are in the big trade from a different perspective.
Repaint issue :
Firstly our source is close . Repaint will only cause the following issue and solution:
There may be a time difference between countries as the dow factor depends on the indexes.
Do not use a low graph time frame in stocks.
Volume Profile Free Pro (25 Levels Value Area VWAP) by RRBVolume Profile Free Pro by RagingRocketBull 2019
Version 1.0
All available Volume Profile Free Pro versions are listed below (They are very similar and I don't want to publish them as separate indicators):
ver 1.0: style columns implementation
ver 2.0: style histogram implementation
ver 3.0: style line implementation
This indicator calculates Volume Profile for a given range and shows it as a histogram consisting of 25 horizontal bars.
It can also show Point of Control (POC), Developing POC, Value Area/VWAP StdDev High/Low as dynamically moving levels.
Free accounts can't access Standard TradingView Volume Profile, hence this indicator.
There are 3 basic methods to calculate the Value Area for a session.
- original method developed by Steidlmayr (calculated around POC)
- classical method using StdDev (calculated around the mean VWAP)
- another method based on the mean absolute deviation (calculated around the median)
POC is a high volume node and can be used as support/resistance. But when far from the day's average price it may not be as good a trend filter as the other methods.
The 80% Rule: When the market opens above/below the Value Area and then returns/stays back inside for 2 consecutive 30min periods it has 80% chance of filling VA (like a gap).
There are several versions: Free, Free Pro, Free MAX. This is the Free Pro version. The Differences are listed below:
- Free: 30 levels, Buy/Sell/Total Volume Profile views, POC
- Free Pro: 25 levels, +Developing POC, Value Area/VWAP High/Low Levels, Above/Below Area Dimming
- Free MAX: 50 levels, packed to the limit
Features:
- Volume Profile with up to 25 levels (3 implementations)
- POC, Developing POC Levels
- Buy/Sell/Total/Side by Side View modes
- Side Cover
- Value Area, VAH/VAL dynamic levels
- VWAP High/Low dynamic levels with Source, Length, StdDev as params
- Show/Hide all levels
- Dim Non Value Area Zones
- Custom Range with Highlighting
- 3 Anchor points for Volume Profile
- Flip Levels Horizontally
- Adjustable width, offset and spacing of levels
- Custom Color for POC/VA/VWAP levels and Transparency for buy/sell levels
Usage:
- specify max_level/min_level for a range (required in ver 1.0/2.0, auto/optional in ver 3.0 = set to highest/lowest)
- select range (start_bar, range length), confirm with range highlighting
- select mode Value Area or VWAP to show corresponding levels.
- flip/select anchor point to position the buy/sell levels, adjust width and spacing as needed
- select Buy/Sell/Total/Side by Side view mode
- use POC/Developing POC/VA/VWAP High/Low as S/R levels. Usually daily values from 1-3 days back are used as levels for the current day.
- Green - buy volume of a specific price level in a range, Red - sell volume. Green + Red = Total volume of a price level in a range
There's no native support for vertical histograms in Pinescript (with price axis as base)
Basically, there are 4 ways to plot a series of horizontal bars stacked on top of each other:
1. plotshape style labeldown (ver 0 prototype discarded)
- you can have a set of fixed width/height text labels consisting of a series of underscores and moving dynamically as levels. Level offset controls visible length.
- you can move levels and scale the base width of the volume profile histogram dynamically
- you can calculate the highest/lowest range values automatically. max_level/min_level inputs are optional
- you can't fill the gaps between levels/adjust/extend width, height - this results in a half baked volume profile and looks ugly
- fixed text level height doesn't adjust and looks bad on a log scale
- fixed font width also doesn't scale and can't be properly aligned with bars when zooming
2. plot style columns + hist_base (ver 1.0)
- you can plot long horizontal bars using a series of small adjacent vertical columns with level offsets controlling visible length.
- you can't hide/move levels of the volume profile histogram dynamically on each bar, they must be plotted at all times regardless - you can't delete the history of a plot.
- you can't scale the base width of the volume profile histogram dynamically, can't set show_last from input, must use a preset fixed width for each level
- hist_base can only be a static const expression, can't be assigned highest/lowest range values automatically - you have to specify max_level/min_level manually from input
- you can't control spacing between columns - there's an equalizer bar effect when you zoom in, and solid bars when you zoom out
- using hist_base for levels results in ugly load/redraw times - give it 3-5 sec to finalize its shape after each UI param change
- level top can be properly aligned with another level's bottom producing a clean good looking histogram
- columns are properly aligned with bars automatically
3. plot style histogram + hist_base (ver 2.0)
- you can plot long horizontal bars using a series of small vertical bars (horizontal histogram) instead of columns.
- you can control the width of each histogram bar comprising a level (spacing/horiz density). Large enough width will cause bar overlapping and give level a "solid" look regardless of zoom
- you can only set width <= 4 in UI Style - custom textbox input is provided for larger values. You can set width and plot transparency from input
- this method still uses hist_base and inherits other limitations of ver 2.0
4. plot style lines (ver 3.0)
- you can also plot long horizontal bars using lines with level offsets controlling visible length.
- lines don't need hist_base - fast and smooth redraw times
- you can calculate the highest/lowest range values automatically. max_level/min_level inputs are optional
- level top can't be properly aligned with another level's bottom and have a proper spacing because line width uses its own units and doesn't scale
- fixed line width of a level (vertical thickness) doesn't scale and looks bad on log (level overlapping)
- you can only set width <= 4 in UI Style, a custom textbox input is provided for larger values. You can set width and plot transparency from input
Notes:
- hist_base for levels results in ugly load/redraw times - give it 3-5 sec to finalize its shape after each UI param change
- indicator is slow on TFs with long history 10000+ bars
- Volume Profile/Value Area are calculated for a given range and updated on each bar. Each level has a fixed width. Offsets control visible level parts. Side Cover hides the invisible parts.
- Custom Color for POC/VA/VWAP levels - UI Style color/transparency can only change shape's color and doesn't affect textcolor, hence this additional option
- Custom Widh for levels - UI Style supports only width <= 4, hence this additional option
- POC is visible in both modes. In VWAP mode Developing POC becomes VWAP, VA High and Low => VWAP High and Low correspondingly to minimize the number of plot outputs
- You can't change buy/sell level colors (only plot transparency) - this requires 2x plot outputs exceeding max 64 limit. That's why 2 additional plots are used to dim the non Value Area zones
- Use Side by Side view to compare buy and sell volumes between each other: base width = max(total_buy_vol, total_sell_vol)
- All buy/sell volume lengths are calculated as % of a fixed base width = 100 bars (100%). You can't set show_last from input
- Sell Offset is calculated relative to Buy Offset to stack/extend sell on top of buy. Buy Offset = Zero - Buy Length. Sell Offset = Buy Offset - Sell Length = Zero - Buy Length - Sell Length
- If you see "loop too long error" - change some values in UI and it will recalculate - no need to refresh the chart
- There's no such thing as buy/sell volume, there's just volume, but for the purposes of the Volume Profile method, assume: bull candle = buy volume, bear candle = sell volume
- Volume Profile Range is limited to 5000 bars for free accounts
P.S. Cantaloupia Will be Free!
Links on Volume Profile and Value Area calculation and usage:
www.tradingview.com
stockcharts.com
onlinelibrary.wiley.com
Support & Resistance LevelsBasic Visualisation of key support and resistance levels.
This script works best on periods of 15minutes or greater.
The strength of the support/resistance are shown through line thickness, and support levels are shown as green and resistance levels red.
Indicator: Relative Volume Indicator & Freedom Of MovementRelative Volume Indicator
------------------------------
RVI is a support-resistance technical indicator developed by Melvin E. Dickover. Unlike many conventional support and resistance indicators, the Relative Volume Indicator takes into account price-volume behavior in order to detect the supply and demand pools. These pools are marked by "Defended Price Lines" (DPLs), also introduced by the author.
RVI is usually plotted as a histogram; its bars are highlighted (black, by default) when the volume is unusually large. According to the author, this happens if the indicator value exceeds 2.0, thus signifying that a possible DPL is present.
DPLs are horizontal lines that run across the chart at levels defined by following conditions:
* Overlapping bars: If the indicator spike (i.e., indicator is above 2.0 or a custom value)
corresponds to a price bar overlapping the previous one, the previous close can be used as the
DPL value.
* Very large bars: If the indicator spike corresponds to a price bar of a large size, use its
close price as the DPL value.
* Gapping bars: If the indicator spike corresponds to a price bar gapping from the previous bar,
the DPL value will depend on the gap size. Small gaps can be ignored: the author suggests using
the previous close as the DPL value. When the gap is big, the close of the latter bar is used
instead.
* Clustering spikes: If the indicator spikes come in clusters, use the extreme close or open
price of the bar corresponding to the last or next to last spike in cluster.
DPLs can be used as support and resistance levels. In order confirm and refine them, RVI is used along with the FreedomOfMovement indicator discussed next.
Freedom of Movement Indicator
------------------------------
FOM is a support-resistance technical indicator, also by Melvin E. Dickover. FOM is the ratio of relative effect (relative price change) to the relative effort (normalized volume), expressed in standard deviations. This value is plotted as a histogram; its bars are highlighted (black, by default( when this ratio is unusually high. These highlighted bars, or "spikes", define the positioning of the DPLs.
Suggestions for placing DPLs are the same as for the Relative Volume Indicator discussed above.
Note that clustering spikes provide the strongest DPLs while isolated spikes can be used to confirm and refine those provided by the Relative Volume Indicator. Coincidence of spikes of the two indicator can be considered a sign of greater strength of the DPL.
More info:
S&C magazine, April 2014.
I am still trying these on various instruments to understand the workings more. Don't forget to share what you learn -- any use cases / ideal scenarios / gotchas, would love to hear them all.
FatihStrategy: Universal Pivot System v3.3.1FatihStrategy: Universal Pivot System v3.3.1 is an advanced technical analysis indicator that combines multi-timeframe pivot averages with EMA trend filters in a single visual system.
🔹 How It Works
Depending on the selected pivot mode, the indicator calculates and visualizes:
Daily & 3-Day Average Pivots
Weekly & 3-Week Average Pivots
Monthly & 3-Month Average Pivots
Yearly & 3-Year Average Pivots
The difference between pivot levels is displayed as colored boxes:
Red Box → Lower timeframe pivot zone
Yellow Box → Higher timeframe pivot zone
These zones help identify potential support, resistance, and consolidation areas.
🔹 EMA Trend Support
Optional exponential moving averages:
20 EMA
50 EMA
200 EMA
can be enabled to assist with trend direction and trade filtering.
🔹 Suitable For
Day traders and swing traders
Pivot-based strategies
Traders looking for clear visual support/resistance zones
Crypto, forex, and stock market analysis
⚠️ Disclaimer
This indicator is not financial advice.
Always use proper risk management and confirm signals with your own trading strategy.
Daily/Weekly Swing Highs-Lows + Candle PatternsDescription
Daily/Weekly Swing Highs-Lows + Candle Patterns
This indicator plots the most recent Daily and Weekly Swing Highs and Lows (key support/resistance levels) using a simple and effective logic: a swing high/low is confirmed when the previous bar's extreme is higher/lower than both the current and the one before it.
Features:
• Daily Swing Highs/Lows (teal/maroon circles) – toggleable
• Weekly Swing Highs/Lows (blue/purple circles) – optional
• Visual separators for new daily and weekly bars (light background color)
• Daily candle pattern labels (optional):
- US = Up Swing (strong bullish continuation)
- DS = Down Swing (strong bearish continuation)
- IN = Inside Bar
- OUT = Outside Bar
• Daily close position labels (optional):
- P = Positive (close in upper 25% of the range)
- mP = minor Positive (50–75%)
- mN = minor Negative (25–50%)
- N = Negative (lower 25%)
All elements are fully customizable (colors, visibility) and work on any timeframe.
Best suited for intraday timeframes (1 min to 4 hours) where daily and weekly key levels provide important context for price action and reversals.
The optional "Trading session length" input is mainly useful for markets with shorter sessions (e.g., European indices) and does not affect swing detection.
Open-source, free to use and modify.
How to Use the Indicator + Practical Use Case
Key Settings (Inputs)
Trading session length (hours) → Default 8.5 h (useful for FTSEMIB, DAX, etc.). Leave it as is unless you trade a market with a different session length.
Daily Swing Levels → Show/Hide daily swing highs (teal) and lows (maroon).
Weekly Swing Levels → Usually keep off on intraday charts to avoid clutter (turn on for higher-timeframe context).
Daily Candle Patterns → Enable only if you want to see US/DS/IN/OUT labels on the daily close.
Close Position (P/mP/mN/N) → Enable if you want to quickly see how strong/weak the daily close was.
What You See on the Chart
Teal circles = Last confirmed daily swing high (resistance).
Maroon circles = Last confirmed daily swing low (support).
Blue/purple circles (if enabled) = Weekly swing high/low.
Light gray background = Start of a new trading day.
Purple background (if weekly enabled) = Start of a new week.
Small labels on daily close (if enabled):
- US = strong bullish day
- DS = strong bearish day
- IN = inside bar (consolidation)
- OUT = outside bar (expansion)
- P/mP/mN/N = how far the close was from the high/low of the day.
Best Timeframes 1 min to 240 min charts → Daily levels act as major support/resistance zones for intraday trading.
Avoid using on daily or higher charts (the logic is designed for intraday context).
Why this works well intraday:
The daily swing high/low levels are high-probability zones where institutions and algorithms often defend positions. On intraday charts, they act as “magnets” for price, giving you clean entries and exits with clear invalidation levels.
This indicator keeps your chart clean while providing exactly the context most intraday traders need: key daily levels + daily momentum context.
Hosoda ZHosoda’s Clouds is a trend-following strategy designed to trade only long positions in traditionally trending markets with a strong bullish bias: SPY(D); DJI (D); NDX (D); XAUUSD (D); Tesla (D, H4, H1); AAPL (D, H4, H1); GOOG (D, H4); META (D, H4); NVDA (D, H4); AMZN(D, H4).
Strategy Parameters
Initial Capital: $10,000 USD.
Position Size: Risks 10% of your equity per trade.
Commission: 0.1%
Indicators
The strategy combines two main technical tools:
A. Ichimoku Cloud This is the core of the strategy. It calculates the classic lines:
• Tenkan-sen (Fast Line): Average of the highest high and lowest low of the last 9 periods.
• Kijun-sen (Base Line): Average of the last 26 periods.
• Cloud (Senkou Span A and B): Projects future support/resistance.
B. EMA 500 (Trend Filter)
• A 500-period Exponential Moving Average is calculated.
• Function: Serves as a very long-term trend filter. If the price is above the EMA 500, the market is considered bullish in the long term.
Entry Rules
• Bullish Cross (Bull Cross): The fast line (Tenkan) crosses above the base line (Kijun). This is the classic Ichimoku entry signal.
• Trend Filter (Optional):
•If you check the "Enable EMA Filter" box in the options, the system will only buy if the closing price is above the EMA 500.
•If the box is unchecked, it will ignore the EMA and buy based solely on the Ichimoku cross.
Exit Rules
A. Stop Loss (Loss Protection) It is a dynamic Stop Loss based on market structure, not a fixed percentage.
• At the moment of entry, the code looks back 12 bars (configurable in sl_bars_back) and finds the lowest price (low).
• It places the Stop Loss at that minimum level.
• Visual: Draws a dotted red line on the chart showing where your Stop Loss is.
B. Technical Take Profit (Exit due to Weakness) Lets profits run until the trend shows weakness.
• Condition: Closes the trade if the Tenkan line crosses below the bottom of the Cloud .
• This means short-term momentum has been lost and the price has entered or crossed below the cloud.
Statistics Panel
In the top right corner, the code draws a table (Panel) that updates in real-time or at the end of Backtesting. It shows:
• Total P&L: Net profit or loss in dollars.
• Win Rate: Percentage of winning trades.
• Trades: Total number of trades executed.
Summary
1. The script waits for the blue line (Tenkan) to cross over the red line (Kijun).
2. It verifies if the price is above the orange line (EMA 500) (if the filter is active).
3. If so, it BUYS.
4. It immediately places a Stop Loss at the low of the last 12 candles (red dotted line).
5. It keeps the trade open until the Stop Loss is hit or until the Tenkan line drops below the Cloud.
Customizable Settings
• Whether to use the EMA filter or not.
• The EMA length (default is 500).
• The Ichimoku periods (9, 26, 52 are standard).
• How many bars to look back to set the Stop Loss.
Microstructure Participation & Acceptance Indicator📊 Microstructure Participation & Acceptance Indicator
An advanced participation-based filter combining VWAP distance analysis, volume delta detection, and real-time acceptance/rejection state identification—designed for smaller timeframe trading.
📊 FEATURES
VWAP Distance Normalization
Context-aware fair value measurement:
Automatically resets based on selected anchor (Session/Week/Month)
ATR-normalized distance calculation for universal application
Identifies when price is extended or compressed relative to equilibrium
Configurable extreme distance threshold (default: 1.5 ATR)
Adjustable source input (default: HLC3)
Volume Delta Proxy
Bull vs Bear participation tracking:
Calculates volume imbalance between bullish and bearish candles
EMA smoothing for cleaner signal generation (default: 9 periods)
Delta ratio measurement to identify dominant side
Expansion/compression detection to gauge momentum commitment
Configurable expansion threshold (default: 1.3x)
Acceptance/Rejection State Machine
Real-time market regime identification with six distinct states:
🟢 Accepted Long
Price moving away from VWAP with expanding bullish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real buying pressure—trade WITH the move
🟢 Accepted Short
Price moving away from VWAP with expanding bearish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real selling pressure—trade WITH the move
🟠 Fade Long
Price extended beyond threshold (>1.5 ATR above VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion short setup
🟠 Fade Short
Price extended beyond threshold (>1.5 ATR below VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion long setup
⚪ Chop
Price compressed near VWAP
Bollinger Bands tight (width compressed)
Delta neutral—no clear commitment
NO TRADE ZONE—wait for expansion
⚪ Neutral
Transitional state between regimes
Momentum shifting but not yet confirmed
Monitor for next acceptance signal
Bollinger Bands
Standard volatility measurement with TradingView default styling:
Adjustable period length (default: 20)
Configurable standard deviation multiplier (default: 2.0)
Visual fill between bands for volatility context
Used internally for chop/compression detection
Live Dashboard
Real-time metrics display (top-right corner):
Current market state with color coding
VWAP distance in ATR units
Delta ratio (bull/bear volume balance)
Delta state (Expanding/Compressing)
High-contrast design for instant readability
🎯 HOW TO USE
For Trend Trading:
Accepted Long/Short backgrounds indicate confirmed participation—stay with the trend
Strong moves typically travel 1-1.5 ATR from VWAP with delta support
Use VWAP as dynamic support/resistance
Combine with momentum indicators (MACD, RSI) for confluence
Price above VWAP + Accepted Long state = bullish bias
Price below VWAP + Accepted Short state = bearish bias
For Mean Reversion:
Fade Long/Short states signal overextension without participation
Price beyond 1.5 ATR from VWAP with weak delta = potential reversal
Look for price return to VWAP when extended
Bollinger Band extremes + Fade state = high-probability mean reversion setup
VWAP acts as mean reversion anchor during range-bound sessions
For Risk Management:
Chop state = avoid new entries
Bollinger Band compression + Chop = pre-expansion zone (wait for breakout)
Delta compression after strong move = early exhaustion warning
State transitions (Accepted → Neutral → Fade) = tighten stops
Signal Confirmation:
Strongest setups occur when multiple factors align:
BB breakout + Accepted state + price above/below VWAP
Price rejection at BB bands + Fade state
VWAP support/resistance hold + state transition
Delta expansion + distance increasing + trend direction
⚙️ SETTINGS
All components are fully customizable through organized input groups:
VWAP Distance Group:
VWAP source (default: HLC3)
Anchor period (Session/Week/Month)
ATR length for normalization (default: 14)
Extreme distance threshold in ATR multiples (default: 1.5)
Volume Delta Group:
Delta EMA length (default: 9)
Delta expansion threshold (default: 1.3)
Acceptance Logic Group:
Acceptance lookback period (default: 5)
Chop threshold in VWAP/ATR units (default: 0.3)
Bollinger Bands Group:
BB length (default: 20)
Standard deviation multiplier (default: 2.0)
Display Group:
Toggle state backgrounds
Toggle state change labels
Toggle VWAP line
Toggle Bollinger Bands
💡 EDUCATIONAL VALUE
This indicator teaches important concepts:
How institutional money identifies fair value (VWAP)
The difference between price movement and market acceptance
Why volume participation matters more than price action alone
How to distinguish between noise and committed directional moves
The relationship between volatility compression and expansion cycles
Why distance from equilibrium predicts mean reversion probability
⚠️ IMPORTANT NOTES
This indicator is for educational and informational purposes only
This is a filter, not a standalone trading system
No indicator is perfect—always use proper risk management
Past performance does not guarantee future results
Combine with your own analysis and risk tolerance
Test thoroughly on historical data before live trading
This is not financial advice—use at your own risk
🔧 TECHNICAL DETAILS
Pine Script Version 6
Overlay indicator (displays on price chart)
All calculations use standard, well-documented formulas
No repainting—all signals are confirmed on bar close
Compatible with all timeframes and instruments
Optimized for smaller timeframes (1-5 minute charts)
Minimal computational overhead
📝 CHANGELOG
Version 1.0
Initial release
VWAP distance normalization with ATR scaling
Volume delta proxy system (bull/bear EMA)
6-state acceptance/rejection state machine
Bollinger Bands integration
Real-time dashboard with live metrics
State change labels and background coloring
Full customization options
Developed for traders who need objective participation filters to distinguish high-probability setups from low-quality noise—without cluttering their charts with multiple indicator panels.
Gamma & Volatility Levels [Pro]General Purpose
This indicator analyzes volatility levels and expected price movements, combining gamma concepts (financial options) with volatility analysis to identify support and resistance zones.
Main Components
High Volatility Level (HVL): Calculates a volatility level based on the simple moving average (SMA) of the price plus one standard deviation. This level is represented by an orange line showing where volatility is concentrated.
Expected Movement (Movimiento Esperante): Uses the Average True Range (ATR) multiplied by an adjustable factor to project potential upward and downward movement ranges from the current price. It is drawn in green (upward) and red (downward).
Gamma Levels (Nivelas Gamma): Identifies two key levels: the call resistance (highest high of the last 50 periods) in blue, and the put support (lowest low) in purple. These are based on recent extreme prices.
Additional Information: The indicator calculates the percentage distance between the current price and the HVL, displaying it in a label.
Visual Elements
Colored lines on the chart for each level.
Labels with exact values next to each line.
A table in the upper right corner summarizing all calculated values.
Options to show or hide each element according to preference.
This is a useful tool for traders who work with options or seek to identify levels of extreme volatility and dynamic support/resistance zones.
Optimal Daily MA Suite [MTF]Title: Optimal Daily MA Suite
Description: This is a comprehensive Multi-Timeframe (MTF) analysis suite designed to streamline chart layouts. Instead of loading multiple separate indicators to track various trend lines, this single tool allows traders to overlay higher-timeframe Moving Averages and key support/resistance levels directly onto their intraday charts.
Utility & Workflow: Swing traders and day traders often need to monitor "Big Picture" Daily Moving Averages (like the Daily 200 SMA or Daily 50 EMA) while executing trades on lower timeframes like the 15m or 1H. This tool automates that process, ensuring the major trend context is always visible without cluttering the indicator list.
Key Features:
Multi-Timeframe Engine: By default, all MAs are calculated on the Daily ("D") timeframe, regardless of the chart's current timeframe. This creates a stable "anchor" for trend analysis. The timeframe is fully customizable in the settings (e.g., set to "W" for Weekly analysis).
10 Customizable Slots: Toggle up to 10 different Moving Averages on/off individually.
Flexible Calculation Types: Supports SMA, EMA, WMA, VWMA, RMA (SMMA), and SWMA for every single line.
Trend Cloud Crossovers: Includes two dedicated "Cloud" setups to visualize crossovers (e.g., Golden Cross or Death Cross) with fill shading between the fast and slow lines.
Price Action Crossovers: Optional markers to highlight when the closing price crosses specific MAs.
Contextual Levels: Includes Previous Day High (PDH) and Previous Day Low (PDL) markers for immediate intraday support/resistance context.
How to Use:
Settings: Open the settings menu to select your "Indicator Timeframe" (Default: Daily).
Customization: Enable only the MAs relevant to your strategy (e.g., Enable MA 8 for the 50 SMA and MA 10 for the 200 SMA).
Clouds: Use the "Crossover Set" inputs to define a Bullish/Bearish trend cloud between two moving averages of your choice.
Technical Note: This script uses request.security with lookahead=barmerge.lookahead_off to ensure no repainting of historical data while providing accurate higher-timeframe values on closed bars.
Credits: Standard Moving Average calculations based on TradingView built-in functions.
Combined Signal + Auto Day Plan + Volume📘 TradingView Description — Combined Signal + Auto Day Plan + Volume
Strategy Overview
This strategy combines trend-following signals, daily context levels, and volume confirmation to generate high-probability intraday trading setups.
It is designed to filter noise, identify trend direction early, and avoid trades during low-quality market conditions.
🔷 1. Combined Signal Logic
The strategy merges multiple indicators to produce a single, cleaner signal:
Long Signal
Trend bias is bullish
Momentum histogram (MACD/Custom) shows upward pressure
Price crosses above the midline (WMA/EMA/etc.)
Volume supports the move
Short Signal
Trend bias is bearish
Momentum histogram shows downward pressure
Price crosses below the midline
Volume supports the move
This reduces false breakouts and ensures signals appear only during strong directional moves.
🔶 2. Auto Day Plan Levels (D-1 → D)
The script automatically reads previous day levels and displays them on today’s session:
Previous Day High (PDH)
Previous Day Low (PDL)
Previous Day Close (PDC)
Previous Day Mid / Range Zones
Optional FIB levels or custom zones
These levels act as intraday support/resistance, helping identify breakout, reversal, and retest opportunities.
Behavior:
D-1 levels are plotted from today’s open until today’s close.
Levels do not overlap into the wrong day.
Optional: extend lines to next day (D+1) for planning.
🔷 3. Volume Confirmation
To improve entry accuracy, the script checks for strength in volume:
Volume > X-period average
Volume spike detection
Relative Volume (RVOL) filter
Optional low-volume avoidance
A trade is taken only when the market shows real participation, reducing traps and sideways chop trades.
🔶 4. Entry & Exit Logic
Entry
Long Entry: Combined bull signal + volume confirmation
Short Entry: Combined bear signal + volume confirmation
Exit
Long Exit → Histogram turns down (hist < hist )
Short Exit → Histogram turns up (hist > hist )
Optional:
Auto SL at PDL/PDH
Trailing based on midline
Take profit using FIB or volatility levels
💠 5. Visuals
The chart plots:
Buy/Sell markers
D-1 support/resistance lines
Trend direction midline
Volume confirmation label
Combined signal status
Colors and styles can be customized from the input panel.
🎯 6. Purpose of the Strategy
This is a complete intraday automation tool combining:
✔ Trend
✔ Momentum
✔ Volume strength
✔ Key day levels
The goal is to provide structured, mechanical, rule-based trading — reducing emotional decisions and improving consistency.
11-MA Institutional System (ATR+HTF Filters)11-MA Institutional Trading System Analysis.
This is a comprehensive Trading View Pine Script indicator that implements a sophisticated multi-timeframe moving average system with institutional-grade filters. Let me break down its key components and functionality:
🎯 Core Features
1. 11 Moving Average System. The indicator plots 11 customizable moving averages with different roles:
MA1-MA4 (5, 8, 10, 12): Fast-moving averages for short-term trends
MA5 (21 EMA): Short-term anchor - critical pivot point
MA6 (34 EMA): Intermediate support/resistance
MA7 (50 EMA): Medium-term bridge between short and long trends
MA8-MA9 (89, 100): Transition zone indicators
MA10-MA11 (150, 200): Long-term anchors for major trend identification
Each MA is fully customizable:
Type: SMA, EMA, WMA, TMA, RMA
Color, width, and enable/disable toggle
📊 Signal Generation System
Three Signal Tiers: Short-Term Signals (ST)
Trigger: MA8 (EMA 8) crossing MA21 (EMA 21)
Filters Applied:
✅ ATR-based post-cross confirmation (optional)
✅ Momentum confirmation (RSI > 50, MACD positive)
✅ Volume spike requirement
✅ HTF (Higher Timeframe) alignment
✅ Strong candle body ratio (>50%)
✅ Multi-MA confirmation (3+ MAs supporting direction)
✅ Price beyond MA21 with conviction
✅ Minimum bar spacing (prevents signal clustering)
✅ Consolidation filter
✅ Whipsaw protection (ATR-based price threshold)
Medium-Term Signals (MT)
Trigger: MA21 crossing MA50
Less strict filtering for swing trades
Major Signals
Golden Cross: MA50 crossing above MA200 (major bullish)
Death Cross: MA50 crossing below MA200 (major bearish)
🔍 Advanced Filtering System1. ATR-Based ConfirmationPrice must move > (ATR × 0.25) beyond the MA after crossover
This prevents false signals during low-volatility consolidation.2. Momentum Filters
RSI (14)
MACD Histogram
Rate of Change (ROC)
Composite momentum score (-3 to +3)
3. Volume Analysis
Volume spike detection (2x MA)
Volume classification: LOW, MED, HIGH, EXPL
Directional volume confirmation
4. Higher Timeframe Alignment
HTF1: 60-minute (default)
HTF2: 4-hour (optional)
HTF3: Daily (optional)
Signals only trigger when current TF aligns with HTF trend
5. Market Structure Detection
Break of Structure (BOS): Price breaking recent swing highs/lows
Order Blocks (OB): Institutional demand/supply zones
Fair Value Gaps (FVG): Imbalance areas for potential fills
📈 Comprehensive DashboardReal-Time Metrics Display: {scrollbar-width:none;-ms-overflow-style:none;-webkit-overflow-scrolling:touch;} ::-webkit-scrollbar{display:none}MetricDescriptionPriceCurrent close priceTimeframeCurrent chart timeframeSHORT/MEDIUM/MAJORTrend classification (🟢BULL/🔴BEAR/⚪NEUT)HTF TrendsHigher timeframe alignment indicatorsMomentumSTR↑/MOD↑/WK↑/WK↓/MOD↓/STR↓VolatilityLOW/MOD/HIGH/EXTR (based on ATR%)RSI(14)Color-coded: >70 red, <30 greenATR%Volatility as % of priceAdvanced Dashboard Features (Optional):
Price Distance from Key MAs
vs MA21, MA50, MA200 (percentage)
Color-coded: green (above), red (below)
MA Alignment Score
Calculates % of MAs in proper order
🟢 for bullish alignment, 🔴 for bearish
Trend Strength
Based on separation between MA21 and MA200
NONE/WEAK/MODERATE/STRONG/EXTREME
Consolidation Detection
Identifies low-volatility ranges
Prevents signals during sideways markets
⚙️ Customization OptionsFilter Toggles:
☑️ Require Momentum
☑️ Require Volume
☑️ Require HTF Alignment
☑️ Use ATR post-cross confirmation
☑️ Whipsaw filter
Min bars between signals (default: 5)
Dashboard Styling:
9 position options
6 text sizes
Custom colors for header, rows, and text
Toggle individual metrics on/off
🎨 Visual Elements
Signal Labels:
ST▲/ST▼ (green/red) - Short-term
MT▲/MT▼ (blue/orange) - Medium-term
GOLDEN CROSS / DEATH CROSS - Major signals
Volume Spikes:
Small labels showing volume class + direction
Example: "HIGH🟢" or "EXPL🔴"
Market Structure:
Dashed lines for Break of Structure levels
Automatic detection of swing highs/lows
🔔 Alert Conditions
Pre-configured alerts for:
Short-term bullish/bearish crosses
Medium-term bullish/bearish crosses
Golden Cross / Death Cross
Volume spikes
💡 Key Strengths
Institutional-Grade Filtering: Multiple confirmation layers reduce false signals
Multi-Timeframe Analysis: Ensures alignment across timeframes
Adaptive to Market Conditions: ATR-based thresholds adjust to volatility
Comprehensive Dashboard: All critical metrics in one view
Highly Customizable: 100+ input parameters
Signal Quality Over Quantity: Strict filters prioritize high-probability setups
⚠️ Usage Recommendations
Best for: Swing trading and position trading
Timeframes: Works on all TFs, optimized for 15m-Daily
Markets: Stocks, Forex, Crypto, Indices
Signal Frequency: Conservative (quality over quantity)
Combine with: Support/resistance, price action, risk management
🔧 Technical Implementation Notes
Uses Pine Script v6 syntax
Efficient calculation with minimal repainting
Maximum 500 labels for performance
Security function for HTF data (no lookahead bias)
Array-based MA alignment calculation
State variables to track signal spacing
This is a professional-grade trading system that combines classical technical analysis (moving averages) with modern institutional concepts (market structure, order blocks, multi-timeframe alignment).
The extensive filtering system is designed to eliminate noise and focus on high-probability trade setups.
Punjis Dynamic Daily EMA/SMA 5,9,21,50,100 LevelsPunjis Dynamic Daily EMA/SMA 5,9,21,50,100 Levels
Overview:
This indicator displays daily timeframe moving averages as horizontal lines extending to the right of your chart, regardless of what timeframe you're currently viewing. It includes six key moving averages: EMA 5, EMA 9, EMA 21, SMA 50, SMA 100, and SMA 200.
Key Features:
Clean Chart Design: Unlike traditional moving average lines that clutter your chart with curves across all candles, this indicator uses horizontal lines that extend only from the current price level to the right edge of your screen
Multi-Timeframe Analysis: View daily moving averages on any intraday timeframe (1min, 5min, 15min, etc.) without switching charts
Fully Customizable:
Toggle each moving average on/off independently
Adjust the period length for each MA
Customize colors for each line
Master toggle to show/hide all lines at once
Reduced Visual Noise: Horizontal lines keep your price action clean and easy to read while still providing critical support/resistance levels
Professional Layout: Perfect for traders who need to monitor multiple key levels without obscuring candlestick patterns and chart analysis
Benefits of Horizontal Lines:
Cleaner Charts: Traditional MAs draw lines through every candle, creating visual clutter. Horizontal lines only show current values, keeping your chart clean
Focus on Current Levels: What matters most is where the MAs are NOW relative to price - horizontal lines highlight this instantly
Better Price Action Visibility: See candlestick patterns, volume, and support/resistance levels clearly without MA lines crossing through them
Quick Reference: Instantly identify if price is above or below key moving averages without following curved lines across the chart
Professional Appearance: Clean, minimalist design preferred by institutional traders and technical analysts
Use Cases:
Day traders monitoring higher timeframe levels on intraday charts
Swing traders tracking daily moving averages as dynamic support/resistance
Multi-timeframe analysis without chart switching
Identifying trend direction and potential reversal zones
Clean workspace for pattern recognition and price action trading
(5+15+60min+1D)EMA20+Y'SH/L+count简介： 这是一个专为 5分钟图表 (5min Chart) 日内交易者设计的综合辅助工具。它结合了多周期趋势均线、美股核心交易时段的时间周期计数以及关键流动性位置（前一日高低点）的智能突破监测。该脚本针对美股个股及 24/7 交易的 BTC/ETH 进行了优化，强制锁定纽约时间进行运算。
核心功能：
1. 多周期 EMA 监控系统 (MTF EMAs)
5min EMA20 (蓝色)：日内短期趋势核心线（默认开启）。
60min EMA20 (绿色)：小时级别趋势参考（默认开启）。
15min EMA20 (红色) & 1D EMA20 (橙色)：可选开启，用于捕捉更大周期的支撑阻力。
特点：所有均线采用最细线宽，平滑显示，右上角表格实时展示当前价格。
2. 美股时段 Bar Count 计数器
时间锚定：以纽约时间 (New York Time) 09:30 开盘为起点（Bar 0）。
显示规则：仅在 K 线底部显示 偶数 序号 (0, 2, 4, 6 ...)，直至第 82 根 K 线停止。
关键时间窗 (Time Pivots)：
Bar 18 (约 NY 10:55) 和 Bar 40 (约 NY 12:45) 会被自动高亮。
字体变为 蓝色粗体，且对应 K 线实体变为蓝色，提示潜在的变盘或宏观流动性注入时刻。
3. 智能 PDH/PDL 射线 (Smart Rays)
精确锚点：前一日高点 (PDH) 和低点 (PDL) 的射线不是从开盘画起，而是从昨日形成高低点的具体时间点射出，精确还原价格行为。
自动阻断 (Breakout Logic)：一旦当前价格触碰或突破该射线，射线将自动停止延伸，直观展示“阻力/支撑已失效”。
自动清理：每日自动清除旧线，仅保留当天的参考线，保持图表整洁。
4. 视觉优化
每日分割线：自动绘制灰色虚线分隔交易日。
图表限制：脚本仅在 5分钟图表上可见，切换周期自动隐藏，避免干扰大周期分析。
设置说明：
可在设置面板中自由开关各周期 EMA 的显示。
可开关底部的计数数字显示。
English Version (for TradingView Publishing)
Title: 5min Intraday Precision Toolkit: MTF EMAs + NY Session Count + Smart Rays
Introduction: This is a comprehensive auxiliary tool designed specifically for 5-minute chart intraday traders. It combines multi-timeframe trend EMAs, time cycle counting based on the US Session, and smart breakout monitoring for key liquidity levels (Previous Day High/Low). Optimized for US Equities and Crypto (BTC/ETH) using New York Time.
Key Features:
1. Multi-Timeframe EMA System
5min EMA20 (Blue): Core short-term intraday trend (On by default).
60min EMA20 (Green): Hourly trend reference (On by default).
15min EMA20 (Red) & 1D EMA20 (Orange): Optional overlays for higher timeframe support/resistance.
Visuals: All EMAs are rendered with fine lines for a clean look, accompanied by a top-right dashboard table.
2. NY Session Bar Count
Time Anchor: Starts counting from 09:30 New York Time (Bar 0).
Display Logic: Displays only EVEN numbers (0, 2, 4...) at the bottom of the bars, stopping at count 82.
Time Pivots:
Bar 18 (~10:55 NY) and Bar 40 (~12:45 NY) are highlighted.
Labels turn Bold Blue, and the specific candles are colored Blue to indicate potential reversal or liquidity injection times.
3. Smart PDH/PDL Rays
Precise Origin: Rays for Previous Day High (PDH) and Previous Day Low (PDL) originate from the exact timestamp they were created yesterday, not just the daily open.
Breakout Stop Logic: Rays automatically stop extending once price touches or breaks them, clearly indicating that the level has been tested.
Auto-Clean: Automatically removes old rays from previous days to keep the chart clean.
4. Visual Optimization
Daily Separators: Automatic vertical dotted lines marking new days.
Visibility: All elements are hidden on non-5m charts to prevent clutter.
Settings:
Toggle visibility for individual EMAs.
Toggle visibility for the bottom bar counter.
Advanced Volume Suite (24h, Pulse, Spikes, Breakout Pressure)Advanced Volume Suite transforms raw volume into a complete market-intelligence toolkit for breakout, momentum, and liquidity-driven trading.
Unlike the basic volume indicator, this tool analyzes volume in true USDT value, tracks rolling 24h exchange-style volume, measures volume strength vs historical averages, detects smart spikes, and highlights breakout pressure near support/resistance.
Core Features:
• USDT-based volume histogram
• 24h rolling volume line
• Volume Pulse (volume vs moving average)
• Smart spike detection with directional filters
• Breakout pressure system (breakouts + near-breakout conditions)
• 3 advanced volume color modes (Simple / Body / Delta-style)
• All signals and thresholds fully configurable
Perfect for traders who rely on volume confirmation for breakouts, momentum entries, scalping, or detecting institutional activity.
5MA＋TrendMagic + Disparity Scalping (SIMPLE FILTER)5MA + Trend Filter + Disparity Scalping
This multi-purpose indicator combines a five-EMA trend structure, a volatility-based trend filter, and an ultra-fast scalping module to detect both trend continuation and sharp reversal opportunities.
It is suitable for scalping, day trading, and trend-following strategies.
🔹 Main Components
1️⃣ Five-EMA Trend Structure
Displays 9 / 20 / 50 / 100 / 200 EMA levels
Helps identify short-term and long-term market direction
Useful for support and resistance during trending markets
2️⃣ Volatility-Driven Trend Filter
Uses CCI and ATR to form a dynamic trailing line
The line switches color based on momentum direction
Can act as a trailing stop or trend confirmation filter
Helps avoid counter-trend entries
3️⃣ High-Volatility GOLD Signal
Detects sudden volatility expansions using ATR, Bollinger metrics, and volatility comparison (HV vs RV)
Marks rapid breakout situations with potential continuation setups
Available for all assets, optimized for highly volatile markets
4️⃣ Ultra-Fast Disparity Scalper
Measures price deviation from EMA5 and EMA10
Confirms exhaustion using RSI + momentum prediction from a custom RVI model
Generates early BUY/SELL reversal markers
Detects momentum shifts before price fully reacts
5️⃣ Simple Overheat Filter
Prevents trades in extremely overbought/oversold zones
Gray-colored signals indicate unsafe trades to avoid
🎯 Best Use Cases
Catching early reversals during fast movement
Identifying strong trend continuation after volatility expansion
Avoiding low-probability scalps in overheated conditions
Applying EMA structure for confluence with price action
⚠️ Note
This indicator is a decision-support tool, not a standalone signal generator.
For best precision, combine with:
Market structure
Volume analysis
Support / resistance levels
🏷️ Short Description (for compact field)
Multi-function tool combining 5EMA structure, volatility-based trend filtering, and ultra-fast reversal scalping using RSI + custom RVI momentum. Ideal for both trend continuation and rapid reversals.
Volume Delta + Bandas de Bollinger📊 Volume Delta + Bollinger Bands Indicator
Characteristics
• Volume Delta Histogram
• Shows the difference between buying and selling pressure.
• Green bars indicate positive delta (buyers dominating).
• Red bars indicate negative delta (sellers dominating).
• The histogram oscillates around the zero line, which represents balance between buyers and sellers.
• Bollinger Bands applied to Delta
• A moving average (basis line) of the delta is calculated.
• Upper and lower bands are plotted using standard deviation.
• These bands highlight periods when the delta moves to statistically extreme levels.
• Helps identify unusual buying or selling pressure compared to recent history.
• Zero Line Reference
• A horizontal line at zero shows equilibrium.
• Crossing above zero suggests net buying pressure.
• Crossing below zero suggests net selling pressure.
How to Use
• Identify Buyer/Seller Dominance
• Green histogram bars above zero → buyers are stronger.
• Red histogram bars below zero → sellers are stronger.
• Spot Extremes with Bollinger Bands
• When delta touches or exceeds the upper band, it signals unusually strong buying pressure.
• When delta touches or exceeds the lower band, it signals unusually strong selling pressure.
• These extremes can precede reversals or mark continuation if confirmed by price action.
• Combine with Price Analysis
• Use delta signals together with price trends and support/resistance levels.
• For example, if price is at resistance and delta spikes into the upper band, it may indicate exhaustion of buyers.
• If price is at support and delta spikes into the lower band, it may indicate exhaustion of sellers.
• Trading Strategy Ideas
• Reversal setups: Look for delta extremes against key price levels.
• Trend confirmation: Sustained delta above zero supports bullish trends; sustained delta below zero supports bearish trends.
• Volatility filter: Bollinger Bands help filter out normal fluctuations and highlight significant imbalances.
👉 In short, this indicator combines order flow pressure (delta) with volatility context (Bollinger Bands), making it useful for spotting moments when buying or selling activity becomes unusually strong compared to recent history.
DAILY AND WEEKLY MID LINESDAILY AND WEEKLY MID LINES INDICATOR
Description:
This indicator calculates and visualizes the dynamic midpoint (mid) of the current day and week in real-time. It provides traders with key reference levels based on developing price action.
Features:
Daily Mid Line:
Color: Orange
Thickness: 3 pixels
Style: Solid line
Updates: Automatically recalculates with each new candle
Calculation: Average of the day's highest high and lowest low from market open
Weekly Mid Line:
Color: Blue
Thickness: 3 pixels
Style: Dashed line
Updates: Continuously recalculates throughout the week
Calculation: Average of the week's highest high and lowest low from week start
How It Works:
At the start of each new trading day (00:00), the daily mid line resets and begins calculating from the first candle
At the start of each new trading week (typically Monday), the weekly mid line resets and begins fresh calculations
Both lines extend automatically to the right as new candles form
The lines are dynamic - they adjust as new highs/lows are made during the day/week
Trading Applications:
Support/Resistance Levels:
The mid lines act as natural equilibrium points where price may find temporary support or resistance
Daily mid can serve as intraday pivot, weekly mid as broader market balance point
Trend Analysis:
Price consistently above mid lines suggests bullish momentum
Price consistently below mid lines suggests bearish momentum
Relationship between daily and weekly mid lines shows multi-timeframe alignment
Entry/Exit Signals:
Price crossing above daily mid may indicate short-term bullish momentum
Price crossing below daily mid may indicate short-term bearish momentum
Weekly mid breaks can signal more significant trend changes
Market Context:
Distance between price and mid lines indicates market extremity
Steeper mid line slopes suggest stronger directional momentum
Flat mid lines suggest range-bound or consolidating markets
Confluence Trading:
Combine with other indicators (RSI, MACD, moving averages) for confirmation
Use as dynamic levels for stop-loss placement or take-profit targets
Best Practices:
More effective on higher timeframes (1H, 4H, Daily) for clearer signals
Works well in trending markets where mid lines act as moving support/resistance
Monitor for price rejection or acceptance at mid levels for trading decisions
Use in conjunction with volume analysis for confirmation
Psychological Significance:
Mid points often represent fair value areas where buyers and sellers find temporary equilibrium, making them natural decision points for market participants.
This indicator is particularly useful for day traders, swing traders, and position traders looking for dynamic, real-time reference points that adapt to current market conditions rather than relying on static historical levels.
🟡 GOLD 4H HUD v8.9 — Loose ICT OB + Strong/Weak + FVG/HVN/LVNGOLD 4H HUD v8.9 is a clean, structured Smart Money Concepts (SMC)–based analysis tool designed exclusively for XAUUSD on the 4-hour timeframe.
It focuses on the three most important elements for institutional orderflow analysis:
✔ Loose ICT Order Blocks (Demand/Supply)
✔ Fair Value Gaps (FVG)
✔ Volume Profile Zones (HVN/LVN/POC)
The script builds a professional-style HUD that displays the key institutional regions and structural levels that matter most for gold traders.
📌 Key Features
1 — Market Structure Engine (HH/HL & BOS)
The indicator detects:
Minor swing Highs and Lows
Last confirmed HH / HL levels
Break of Structure (BOS) for directional bias
EMA-200 trend filter (UP / DOWN / NEUTRAL)
This gives traders a clean structural read without clutter or noise.
2 — Loose FVG Engine (Tolerance-Based ICT Gaps)
A soft-threshold FVG engine detects “loose” Fair Value Gaps using a 0.1% price tolerance.
This method ensures:
Fewer missed imbalances
Cleaner OB/FVG alignment
Higher accuracy on 4H gold displacement legs
FVGs automatically shift to the right side of the chart for clean visualization.
3 — Order Block Engine (Demand/Supply + Strong/Weak Classification)
A simplified ICT-style OB engine scans the past few candles whenever BOS is detected.
It identifies:
Demand OB during bullish BOS
Supply OB during bearish BOS
Strong OB if fully nested inside an active FVG
Weak OB otherwise
OB boxes include:
Clear color coding (strong vs. weak)
Price range labels inside each box
Automatic right-shift for visual clarity
4 — Volume Profile Engine (POC / HVN / LVN / VAH / VAL)
Based on a rolling window (default 120 bars), the script builds a lightweight volume distribution.
It displays:
POC (Point of Control)
HVN (High Volume Node)
LVN (Low Volume Node)
Value Area High / Low
HVN/LVN zones are shown as right-shifted colored boxes with price labels.
These zones help identify:
Institutional accumulation
Low-liquidity rejection points
Areas where price tends to react strongly
5 — Support / Resistance Mapping
The script automatically generates:
OB-based support/resistance
Swing-high/swing-low levels
HVN/LVN structural levels
These are displayed in the HUD for fast reference.
6 — Professional HUD Panel
A compact, easy-to-read HUD summarizes:
Trend direction
Latest HH/HL
OB ranges (Strong/Weak)
HVN/LVN price zones
POC
Multi-layer support & resistance
This turns the script into a fully functional analysis dashboard.
📌 What This Indicator Is NOT
To avoid misunderstanding:
It does not take entries or generate buy/sell signals
It does not auto-detect CHOCH, MSS, SMT, or sweeps
It is not a trading bot
This tool is designed as an institutional-style map and analysis HUD, not a strategy.
📌 Best Use Case
This indicator is ideal for traders who want to:
Read institutional structure on XAUUSD
Identify clean Demand/Supply zones
Visualize FVG/OB/HVN interactions
Track high-value liquidity levels
Build directional bias on 4H before dropping to execution timeframes
⚠ Important Note
This tool is designed exclusively for the 4H timeframe.
Using it on lower timeframes will display a warning.
Quantum Uncertainty by Kingshuk GhoshLet me explain this indicator in simple, practical terms, including the fascinating physics concept that inspired me.
This indicator helps to understand when the market is predictable (safe to trade) versus unpredictable (risky to trade). It shows the probability zones where price is likely to move and warns you when conditions are too chaotic for reliable trading.
The Physics Behind It: Heisenberg's Uncertainty Principle:-
This indicator is inspired by one of the most profound discoveries in physics: Heisenberg's Uncertainty Principle.
What Is The Uncertainty Principle?
In 1927, physicist Werner Heisenberg discovered something remarkable about the universe: you cannot simultaneously know both the exact position and exact momentum of a particle with perfect precision. The more accurately you know one, the less accurately you can know the other.
Simple Analogy:
Imagine trying to photograph a speeding bullet:
Use fast shutter speed → You see exactly WHERE it is (position), but the image is frozen, so you can't tell HOW FAST it's moving (momentum)
Use slow shutter speed → You see motion blur showing HOW FAST it's moving (momentum), but you can't pinpoint exactly WHERE it is (position)
You can never have both perfect clarity simultaneously - there's always a trade-off.
How This Applies To Trading
The indicator translates this principle to financial markets:
In Physics:
Position Uncertainty × Momentum Uncertainty = Always greater than a minimum value
High uncertainty in one means high uncertainty overall
In Trading:
Price Position Uncertainty = How much the price bounces around (volatility)
Price Momentum Uncertainty = How erratic the directional strength is
Total Market Uncertainty = Price Volatility × Momentum Volatility
The Trading Insight:
Just like in physics, when BOTH price position and momentum are uncertain (highly volatile), the market becomes fundamentally unpredictable. You can't reliably know where price will go next because the system is in high uncertainty state.
Why This Matters For You
Traditional indicators often look at price OR momentum separately. This indicator recognizes that both must be considered together to truly understand market predictability, just as Heisenberg showed that position and momentum must be considered together in physics.
When both uncertainties are high simultaneously:
Price could jump anywhere
Momentum could shift instantly
Predictions become unreliable
Trading becomes gambling
When both uncertainties are low:
Price behavior is more regular
Momentum is more stable
Patterns become clearer
Trading becomes strategic
This is why the indicator's core metric multiplies price volatility by momentum volatility - it's capturing that fundamental uncertainty relationship.
Market Uncertainty
The indicator calculates how unpredictable the market currently is by examining:
How much price is bouncing around (price volatility)
How erratic the momentum is (momentum instability)
When both are high simultaneously, the market becomes highly unpredictable. When both are calm, the market is more reliable for trading.
Think of it like driving:
Low uncertainty = Clear road, good visibility, safe to drive
High uncertainty = Fog, rain, poor visibility, dangerous conditions
Probability Bands
The indicator draws colored bands around a central average price line:
White Center Line (Basis)
The average price over your lookback period
Acts as a equilibrium point where price gravitates
Blue Bands (Inner Zone)
Covers about 68% of normal price behavior
Price spends most of its time here
This is the "normal operating range"
Purple Bands (Outer Zone)
Covers about 95% of all price behavior
Price rarely ventures here
When it does, it's unusual and noteworthy
Highway Lane Analogy:
Most drivers stay in center lanes (blue zone)
Few drivers use extreme outer lanes (purple zone)
When someone drives on the shoulder, it's abnormal and signals something is happening
Wave Function Collapse
Another physics concept applied here: In quantum mechanics, particles exist in multiple states simultaneously (superposition) until they're measured - then the "wave function collapses" to a single state.
In This Indicator:
The probability bands represent all the possible states price could be in. When price moves and settles at a specific level, it's like the wave function collapsing - probability becomes reality.
The indicator helps you see:
Where price is most likely to be (high probability zones - blue bands)
Where price rarely goes (low probability zones - purple bands)
When price is in an "impossible" state (outside bands - tunneling)
Price Position
The indicator tracks where current price sits within these bands:
Upper position = Price in the top half (bullish territory)
Lower position = Price in the bottom half (bearish territory)
Extreme positions = Price in outer 30% on either side (potential reversal zones)
Quantum Tunneling Signals
This is another physics concept: In quantum mechanics, particles can sometimes "tunnel" through barriers that classical physics says they shouldn't be able to cross.
In Trading:
When price breaks through the 95% probability barrier, it's "tunneling" into statistically improbable territory - these are marked by triangles:
Green Triangle Up
Price tunneled through the upper 95% barrier
This is statistically rare (happens only 5% of the time)
Often signals price exhaustion or coming reversal downward
Like a particle that tunneled too far and will snap back
Red Triangle Down
Price tunneled through the lower 95% barrier
Also statistically unusual
Often signals panic selling may be overdone
Like a spring compressed too far, ready to bounce
These "tunneling events" are significant because they represent extreme deviations from normal probability - and markets tend to revert to normal.
Entanglement Score
In quantum physics, "entanglement" means two particles are connected such that measuring one instantly affects the other, no matter the distance.
In Trading:
This measures whether price movements are "entangled" with trading volume - do they move together in a connected way?
High Entanglement (above 0.5)
Price and volume move together
Volume confirms the price action
More reliable, trustworthy moves
Like entangled particles - they're truly connected
Low Entanglement (below 0.3)
Price moves without volume support
Suspicious, unsupported movements
Less reliable, be cautious
Like particles that aren't entangled - the connection is weak
Negative Entanglement
Price and volume move in opposite directions
Often signals divergence or potential reversal
Requires careful interpretation
Information Dashboard:
1. Uncertainty Level
Shows current market unpredictability (the core Heisenberg principle calculation):
✓ Normal (Green) = Market is behaving predictably, safe to trade
⚠ High Risk (Red) = Market is chaotic, avoid trading
This is your first checkpoint - if uncertainty is high, don't proceed further.
2. Probability Score
Shows how normal or extreme the current price is:
Percentage shown = Where price sits in the probability distribution
✓ Safe (Green) = Price in normal range (middle 70%)
⛔ Extreme (Red) = Price at statistical outliers (outer 15%)
High percentage (>85%) = Price near the average, stable situation
Low percentage (<15%) = Price at extremes, unstable situation
3. Position Indicator
Tells you which side of the market you're on:
Upper/Lower = Basic location in the bands
→ Neutral (Gray) = Price in balanced middle zone
⚠ Reversal? (Orange) = Price at extremes, watch for turnaround
This helps you anticipate potential support or resistance levels.
4. Entanglement Confirmation
Shows the correlation number and interpretation:
✓ Confirmed (Green) = Volume strongly supports price (>0.5)
⚠ Weak (Orange) = Poor volume support (<0.5)
Always prefer trading when entanglement is confirmed - it means the move is "real" with participant backing.
5. Trade Status - YOUR MAIN SIGNAL
This is the indicator's final verdict combining all factors:
✓ TRADEABLE (Green)
Uncertainty is normal
Probability is safe
Entanglement is decent
Action: Market conditions favor trading
⛔ AVOID (Red)
One or more conditions are unfavorable
Market is too unpredictable
Action: Stay out, preserve capital.
Scenario A: Perfect Buy Setup
Red triangle appears (quantum tunneling down)
Position shows "Lower" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme low with volume support, likely to bounce back to probability zone
Action: Consider long entry with stop below recent low
Scenario B: Perfect Sell Setup
Green triangle appears (quantum tunneling up)
Position shows "Upper" with "⚠ Reversal?" warning
Entanglement shows "✓ Confirmed"
Trade Status: "✓ TRADEABLE"
Interpretation: Price hit extreme high, exhaustion in high uncertainty zone
Action: Consider short entry or exit longs with stop above recent high
Scenario C: High Uncertainty - Stay Out
Uncertainty shows "⚠ High Risk"
Probability shows "⛔ Extreme"
Trade Status: "⛔ AVOID"
Interpretation: Both price and momentum uncertainties are high - market is fundamentally unpredictable (Heisenberg principle in action)
Action: No trading, wait for uncertainty to decrease
Scenario D: Trending Market
Price consistently stays in upper bands
No tunneling signals
Entanglement remains high
Trade Status stays "✓ TRADEABLE"
Interpretation: Strong trend with low uncertainty
Action: Trade with the trend, don't fight it
Scenario E: Choppy, Range-Bound
Price bounces between inner blue bands
Frequent status changes between TRADEABLE and AVOID
Entanglement fluctuates
Interpretation: Market lacks direction, uncertainty fluctuating
Action: Use bands as support/resistance for scalping, or wait for breakout.
Why The Uncertainty Principle Matters In Trading
Traditional technical analysis often looks at indicators in isolation:
"RSI is oversold, so buy"
"Price is volatile, so wait"
"Volume is high, so trade"
But Heisenberg's principle teaches us that multiple uncertainties interact and compound. This indicator recognizes that truth:
When price volatility is high AND momentum is erratic:
You can't reliably predict where price will go
You can't reliably predict how strong the move will be
The combination creates fundamental unpredictability
This is when the indicator says "AVOID"
When price volatility is low AND momentum is stable:
Price behavior becomes more regular
Directional moves become more reliable
The low combined uncertainty creates tradeable conditions
This is when the indicator says "TRADEABLE"
The Probability Wave Function
In quantum mechanics, until you measure a particle, it exists in all possible states simultaneously (superposition). The probability wave describes where it's most likely to be found.
The bands work the same way:
Blue bands = Where price has 68% probability of being (1 standard deviation)
Purple bands = Where price has 95% probability of being (2 standard deviations)
Outside bands = Less than 5% probability (quantum tunneling territory)
When price is in the blue zone, it's in its "natural" superposition state - normal behavior.
When price tunnels outside, it's in an "improbable" state - like a quantum particle appearing where it shouldn't be. Physics tells us this can't last - the wave function will collapse back to normal probability zones. In trading, this means reversion to the mean.
Entanglement and Market Correlation
Quantum entanglement shows us that connections matter - particles don't act in isolation.
In markets:
Price shouldn't move in isolation from volume
When they're "entangled" (moving together), the move is authentic
When they're not entangled (price moves without volume), the move is suspicious
This is why the indicator checks entanglement - it's verifying that the market components are properly connected and confirming each other.
Golden Rules for the indicator:
Never trade during high uncertainty states - When the indicator shows AVOID, it's telling you that fundamental unpredictability (Heisenberg's principle) has taken over. This is non-negotiable.
Reduce position size when entanglement is weak - Even if uncertainty is low, weak volume entanglement means the move may not be authentic.
Respect the quantum tunneling signals - They mark statistical extremes where price has entered improbable territory. Reversion to normal probability zones is likely.
Don't chase price outside the bands - If you missed the tunneling entry, wait for price to return to normal probability zones.
Use the white center line as equilibrium - Like particles gravitating toward lower energy states, price tends to revert to its average.
Heisenberg's Uncertainty Principle teaches us a profound lesson: some things are fundamentally unknowable. You cannot eliminate uncertainty - you can only measure it and decide whether it's low enough to act.
This indicator embraces that wisdom:
It doesn't claim to predict the future
It doesn't promise guaranteed wins
It simply measures current uncertainty
And tells you when conditions are favorable vs. unfavorable
The market, like quantum particles, is probabilistic, not deterministic. You're trading probabilities, not certainties. The indicator helps you identify when those probabilities are in your favor (low uncertainty) and when they're not (high uncertainty).
This is a more mature, realistic approach to trading than indicators that promise to "predict" moves. Instead, this indicator honestly assesses predictability itself.
Remember: Not trading during high uncertainty is just as important as trading during low uncertainty. Preservation of capital is the foundation of long-term success. As Heisenberg taught us, some moments are simply too uncertain to act - and that's okay.
Chart attached: -NSE Persistent, EoD 05/12/25, Day Time Frame.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Volume Flow Anatomy [Kodexius]Volume Flow Anatomy is a dynamic, multi-dimensional volume map that reconstructs how buy, sell, and “stealth” activity is distributed across price rather than just across time. Instead of relying on a static, session-based volume profile, it uses an exponentially decaying memory of recent bars to build a constantly evolving “anatomy” of the auction, where each price level carries an adaptive history of order flow.
The script separates buy vs. sell pressure, adds a third “Stealth Flow” dimension for low-volume price movement (ease of movement / divergence), and automatically derives POC, Value Area, imbalances, absorption zones, and classic profile shapes (D, P, b, B). This gives the trader a compact but highly information-dense map on the right side of the chart to read control (buyers vs. sellers), structure (balanced vs. trending vs. double distribution), and key reaction levels (support/resistance born from flow, not just wicks).
🔹 Features
🔸 Dynamic Lookback with Decay
- The script computes an effective lookback N from the Decay Factor and caps it with Max Lookback.
- Higher decay keeps more history; lower decay emphasizes the most recent flow.
- The profile continuously adapts as new bars are printed.
🔸 Price-Bucketed Flow Map
Each bucket accumulates:
- Sell Flow (sell pressure)
- Buy Flow (buy pressure)
- Stealth Flow (low-volume price movement)
- Box width at each bucket is proportional to the relative intensity of that component.
🔸 Stealth Flow (Low-Volume Price Movement)
- Measures close to close movement relative to volume, emphasizing price movement that occurs on comparatively low volume.
- Helps reveal hidden participation, inefficient moves, and areas that may be vulnerable to re-tests or reversions.
🔸 POC & 70% Value Area (VA)
- Identifies the Point of Control (price bucket with the highest total volume) over the effective lookback.
- Builds a 70% Value Area by expanding from POC towards the nearest high volume neighbors until 70% of the total volume is included.
- POC is drawn as a line over the analyzed range; VA is displayed as a shaded band in the profile area.
🔸 Market Profile Shape Detection
Splits the profile vertically into three zones (bottom / middle / top) and compares their volume distribution.
Classifies structure as:
- D-Shape (Balanced)
- P-Shape (Short Covering)
- b-Shape (Long Liquidation)
- B-Shape (Double Distribution)
Displays a shape label with color coded bias for quick auction context interpretation.
🔸 Imbalance Zones & Absorption
Imbalance: detects buckets where Buy Flow or Sell Flow exceeds the opposite side by at least Imbalance Ratio.
Absorption: flags zones with high volume but low price “ease”, where price is not moving much despite significant volume.
Extends these levels into horizontal zones, marking potential support/resistance and trap areas.
Bullish Imbalance Zone :
Bearish Imbalance Zone :
Absorption Zone :
🔸 Range Context & On-Chart Legend
Draws a Range Box covering the dynamically determined lookback (N bars), with a label displaying the effective bar count.
A bottom-right legend summarizes:
- Color keys for Buy / Sell / Stealth
- POC / VA status
- Bullish vs. Bearish dominance percentage
- Profile shape classification
- Imbalance and Absorption conventions
🔹 Calculations
1. Dynamic Lookback & Price Buckets
int N = math.min(int(4 / (1 - decayFactor) - 1), maxHistory)
float priceHigh = ta.highest(high, N)
float priceLow = ta.lowest(low, N)
float bucketSize = (priceHigh - priceLow) / bucketCount
The effective lookback N is derived from the Decay Factor, using the approximation 4 / (1 - decay) to capture roughly 99% of the decayed influence, then capped with maxHistory to control performance. Over that adaptive range, the script finds the highest and lowest prices and divides the band into bucketCount equal slices (bucketSize). Each slice is a price bucket that will accumulate volume-flow information.
2. Exponentially Decayed Volume Allocation
addValue(array profile, float weight, float minPrice, float maxPrice) =>
for j = 0 to bucketCount - 1
float bucketMin = priceLow + j * bucketSize
float bucketMax = bucketMin + bucketSize
float overlapMin = math.max(minPrice, bucketMin)
float overlapMax = math.min(maxPrice, bucketMax)
float overlapRange = overlapMax - overlapMin
if overlapRange > 0
profile.set(j, profile.get(j) * decayFactor + weight * overlapRange)
This function is the core engine of the indicator. For a given price span and intensity, it checks every bucket for overlap, distributes the weight proportionally to the overlapping range, and before adding new value, decays the existing bucket content by decayFactor. This results in an exponentially weighted profile: recent activity dominates, while older levels retain a gradually fading footprint.
3. POC and 70% Value Area
array totalProfile = array.new(bucketCount, 0)
for j = 0 to bucketCount - 1
float total = sellProfile.get(j) + buyProfile.get(j)
totalProfile.set(j, total)
if total > eaMax
eaMax := total
int pocIdx = 0
float pocVal = 0.0
for j = 0 to bucketCount - 1
if totalProfile.get(j) > pocVal
pocVal := totalProfile.get(j)
pocIdx := j
float totalSum = totalProfile.sum()
float targetSum = totalSum * 0.70
int vaLow = pocIdx
int vaHigh = pocIdx
float currentSum = pocVal
while currentSum < targetSum and (vaLow > 0 or vaHigh < bucketCount - 1)
float lowVal = vaLow > 0 ? totalProfile.get(vaLow - 1) : 0.0
float highVal = vaHigh < bucketCount - 1 ? totalProfile.get(vaHigh + 1) : 0.0
First, totalProfile is built as the sum of buy and sell flow per bucket, and eaMax (the maximum total) is tracked for later normalization. The POC bucket (pocIdx) is simply the index with the highest totalProfile value.
To compute the 70% Value Area, the algorithm starts at the POC bucket and expands outward, each step adding either the upper or lower neighbor depending on which has more volume. This continues until the cumulative volume reaches 70% of totalSum. The result is a volume-driven VA, not necessarily symmetric around POC, which more accurately represents where the market has truly traded.
4. Market Profile Shape Classification
float volTopThird = 0.0
float volMidThird = 0.0
float volBotThird = 0.0
int thirdIdx = int(bucketCount / 3)
for j = 0 to bucketCount - 1
float val = totalProfile.get(j)
if j < thirdIdx
volBotThird += val
else if j < thirdIdx * 2
volMidThird += val
else
volTopThird += val
float totalVolShape = totalProfile.sum()
string shapeStr = "D-Shape (Balanced)"
if (volTopThird > totalVolShape * 0.20) and (volBotThird > totalVolShape * 0.20) and (volMidThird < totalVolShape * 0.50)
shapeStr := "B-Shape (Double Dist)"
else
if pocIdx > bucketCount * 0.5 and volTopThird > volBotThird * 1.3
shapeStr := "P-Shape (Short Covering)"
else if pocIdx < bucketCount * 0.5 and volBotThird > volTopThird * 1.3
shapeStr := "b-Shape (Long Liquidation)"
else
shapeStr := "D-Shape (Balanced)"
The profile is split into bottom, middle, and top thirds. The script compares how much volume is concentrated in each and combines that with the relative location of POC. If both extremes are heavy and the middle light, it labels a B-Shape (double distribution). If the POC is high and the top dominates the bottom, it’s a P-Shape (short covering). If the POC is low and the bottom dominates, it’s a b-Shape (long liquidation). Otherwise, it defaults to a D-Shape (balanced). This provides a quick, at-a-glance assessment of auction structure.
5. Imbalances, Absorption & Zones
bool isBuyImb = showImb and sVal > 0 and (bVal / sVal >= imbRatio)
bool isSellImb = showImb and bVal > 0 and (sVal / bVal >= imbRatio)
float volRatio = eaMax > 0 ? tVal / eaMax : 0
float stRatio = esmRange > 0 ? (stVal - esmMin) / esmRange : 1.0
bool isAbsorp = showAbsorp and volRatio > 0.6 and stRatio < 0.25
if showImbZone
if isSellImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isBuyImb
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
if isAbsorp
zoneBoxes.push(box.new(bar_index - N + 1, bucketHi, bar_index + 1, bucketLo, ...))
Imbalances are identified where one side’s volume (buy or sell) exceeds the other by at least Imbalance Ratio. These buckets are marked as buy or sell imbalance zones, indicating aggressive participation from one side.
Absorption is detected by combining a high volume ratio (volRatio) with a low normalized stealth ratio (stRatio). High volume with limited price movement suggests that opposing orders are absorbing flow at that level. Both imbalance and absorption buckets are extended into horizontal zones from the start of the lookback to the current bar, visually emphasizing key support/resistance and liquidity areas.
6. Building Buy, Sell & Stealth Profiles
sellProfile := array.new(bucketCount, 0)
buyProfile := array.new(bucketCount, 0)
stealthProfile := array.new(bucketCount, 0)
Three arrays are used to store Sell Flow, Buy Flow, and Stealth Flow. Bars are processed from oldest to newest so that decay is applied in correct chronological order. For each bar, a volume density (volume / range) is calculated and distributed across the candle range. Bull candles feed buyProfile, bear candles feed sellProfile.
Stealth Flow computes the close-to-close move between consecutive bars, scaled by 1 / (1 + volume). Big moves on low volume produce high stealth values, which are then allocated across the move’s price span into stealthProfile. This yields a three-layer profile per price level: directional volume and stealthy price movement.
ACCDv3# ACCDv3 - Accumulation/Distribution MACD with Divergence Detection
## Overview
**ACCDv3** (Accumulation/Distribution MACD Version 3) is an advanced volume-weighted momentum indicator that combines the Accumulation/Distribution (A/D) line with MACD methodology and divergence detection. It helps identify trend strength, momentum shifts, and potential reversals by analyzing volume-weighted price movements.
## Key Features
- **Volume-Weighted MACD**: Applies MACD calculation to volume-weighted A/D values for earlier, more reliable signals
- **Divergence Detection**: Identifies when A/D trend diverges from MACD momentum
- **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise
- **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength
- **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences
## Components
### 1. Accumulation/Distribution (A/D) Line
The A/D line measures buying and selling pressure by comparing the close price to the trading range, weighted by volume:
```
A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume
```
- **Rising A/D**: More accumulation (buying pressure)
- **Falling A/D**: More distribution (selling pressure)
- **Doji Handling**: When High = Low, contribution is zero (avoids division errors)
### 2. Volume-Weighted MACD
Instead of simple EMAs, the indicator weights A/D values by volume:
- **Fast Line** (default 12): `EMA(A/D × Volume, 12) / EMA(Volume, 12)`
- **Slow Line** (default 26): `EMA(A/D × Volume, 26) / EMA(Volume, 26)`
- **MACD Line**: Fast Line - Slow Line (green line)
- **Signal Line** (default 9): EMA or SMA of MACD (orange line)
- **Histogram**: MACD - Signal (color-coded columns)
This volume-weighting ensures that periods with higher volume have greater influence on the indicator values.
### 3. Histogram Color System
The histogram uses 4 distinct colors based on **direction** and **volume strength**:
| Condition | Color | Meaning |
|-----------|-------|---------|
| Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation |
| Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) |
| Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation |
| Falling + Low Volume | **Light Red/Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) |
Additional shading:
- **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling)
- **Bright Red** (#FF5252): Negative and accelerating down
### 4. Divergence Detection
Divergence occurs when A/D trend and MACD momentum move in opposite directions:
#### Bullish Divergence (Green Background)
- **Condition**: A/D is trending up BUT MACD is negative and trending down
- **Interpretation**: Accumulation increasing while momentum appears weak
- **Signal**: Potential bullish reversal or continuation
- **Action**: Look for entry opportunities or hold long positions
#### Bearish Divergence (Red Background)
- **Condition**: A/D is trending down BUT MACD is positive and trending up
- **Interpretation**: Distribution increasing while momentum appears strong
- **Signal**: Potential bearish reversal or weakening uptrend
- **Action**: Consider exits, tighten stops, or prepare for reversal
## Parameters
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) |
| **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) |
| **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) |
| **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation |
| **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) |
## Usage Guide
### Reading the Indicator
1. **MACD Lines (Green & Orange)**
- **Crossovers**: When green crosses above orange = bullish, below = bearish
- **Distance**: Wider gap = stronger momentum
- **Zero Line**: Above = bullish bias, below = bearish bias
2. **Histogram Colors**
- Focus on **dark colors** (dark green/red) for high-confidence signals
- Be cautious with **light colors** (teal/pink) - wait for volume confirmation
- Watch for **rising red bars** (V-bottom pattern) = potential bullish reversal
- Watch for **falling green bars** (Λ-top pattern) = potential bearish reversal
3. **Background Divergence Alerts**
- **Green background**: Bullish divergence - consider long entries
- **Red background**: Bearish divergence - consider exits or shorts
- Best used in combination with price action and support/resistance levels
### Trading Strategies
#### Trend Following
1. Wait for MACD to cross above zero line with dark green histogram
2. Enter long when histogram shows consecutive dark green bars
3. Exit when histogram turns light green or red appears
#### Divergence Trading
1. Wait for background divergence alert (green or red)
2. Confirm with price action (support/resistance, candlestick patterns)
3. Enter on next dark-colored histogram bar in divergence direction
4. Set stops beyond recent swing high/low
#### Volume Confirmation
1. Ignore signals during low-volume periods (light colors)
2. Take aggressive positions during high-volume confirmations (dark colors)
3. Use volume strength as position sizing guide (larger size on dark bars)
### Best Practices
✓ **Combine with price action**: Don't rely on indicator alone
✓ **Wait for dark colors**: High-volume bars are more reliable
✓ **Watch for divergences**: Early warning signs of reversals
✓ **Use multiple timeframes**: Confirm signals across 1m, 5m, 15m
✓ **Respect zero line**: Trading direction should align with MACD side
✗ **Don't chase light-colored signals**: Low volume = lower reliability
✗ **Don't ignore context**: Market structure and levels matter
✗ **Don't over-trade**: Wait for clear, high-volume setups
✗ **Don't ignore alerts**: Divergences are early warnings
## Technical Details
### Volume-Weighted Calculation Method
Traditional MACD uses simple price EMAs. ACCDv3 weights each A/D value by its corresponding volume:
```pine
// Volume-weighted fast EMA
close_vol_fast = ta.ema(ad × volume, fast_length)
vol_fast = ta.ema(volume, fast_length)
vw_ad_fast = close_vol_fast / vol_fast
// Same for slow EMA
close_vol_slow = ta.ema(ad × volume, slow_length)
vol_slow = ta.ema(volume, slow_length)
vw_ad_slow = close_vol_slow / vol_slow
// MACD is the difference
macd = vw_ad_fast - vw_ad_slow
```
This ensures high-volume periods have proportionally more impact on the indicator.
### Volume Strength Filter
Determines whether current volume is above or below average:
```pine
vol_avg = ta.sma(volume, vol_length)
vol_strength = volume > vol_avg
```
Used to select dark (high volume) vs light (low volume) histogram colors.
### Divergence Logic
```pine
// A/D trending up if above its 5-period SMA
ad_trend = ad > ta.sma(ad, 5)
// MACD trending up if above zero
macd_trend = macd > 0
// Divergence when trends oppose
divergence = ad_trend != macd_trend
// Specific conditions
bullish_divergence = ad_trend and not macd_trend and macd < 0
bearish_divergence = not ad_trend and macd_trend and macd > 0
```
## Alerts
The indicator includes built-in alert conditions:
- **Bullish Divergence**: "Bullish Divergence: A/D trending up but MACD trending down"
- **Bearish Divergence**: "Bearish Divergence: A/D trending down but MACD trending up"
To enable:
1. Click "Create Alert" button in TradingView
2. Select "ACCDv3" as condition
3. Choose "Bullish Divergence" or "Bearish Divergence"
4. Configure notification method (popup, email, webhook, etc.)
## Comparison with Standard MACD
| Feature | Standard MACD | ACCDv3 |
|---------|---------------|---------|
| **Input** | Close price | Accumulation/Distribution line |
| **Weighting** | Simple EMA | Volume-weighted EMA |
| **Divergence** | Price vs MACD | A/D vs MACD |
| **Volume Analysis** | None | Built-in strength filter |
| **Color System** | 2 colors (up/down) | 4+ colors (direction + volume) |
| **Leading/Lagging** | Lagging | More leading (volume-weighted) |
## Example Scenarios
### Scenario 1: Strong Bullish Signal
- **Chart**: MACD crosses above zero line
- **Histogram**: Dark green bars (#1B5E20) appearing
- **Volume**: Above 20-period average
- **Action**: Enter long, strong momentum with volume confirmation
### Scenario 2: Weak Bearish Signal
- **Chart**: MACD crosses below zero line
- **Histogram**: Light pink bars (#FFCDD2) appearing
- **Volume**: Below 20-period average
- **Action**: Avoid shorting, low volume = unreliable signal
### Scenario 3: Bullish Divergence Reversal
- **Chart**: Price making lower lows
- **Indicator**: A/D line trending up, MACD negative
- **Background**: Green shading appears
- **Histogram**: Transitions from red to dark green
- **Action**: Look for long entry on next dark green bar
### Scenario 4: V-Bottom Reversal
- **Chart**: Downtrend in place
- **Histogram**: Red bars start rising (becoming less negative)
- **Pattern**: Forms "V" shape at bottom
- **Confirmation**: Transitions to dark green bars
- **Action**: Bullish reversal signal, consider long entry
## Timeframe Recommendations
- **1-minute**: Scalping, very fast signals (noisy, use with caution)
- **5-minute**: Intraday momentum trading (recommended)
- **15-minute**: Swing entries, clearer trend signals
- **1-hour+**: Position trading, major trend identification
## Limitations
- **Requires volume data**: Will not work on instruments without volume
- **Lag during consolidation**: MACD is inherently trend-following
- **False signals in chop**: Sideways markets generate noise
- **Not a standalone system**: Should be combined with price action and risk management
## Version History
- **v3**: Removed traditional price MACD, using only volume-weighted A/D MACD with A/D divergence
- **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors
- **v1**: Basic MACD on A/D line with volume-weighted calculation
## Support & Further Reading
For questions, updates, or to report issues, refer to the main project documentation or contact the developer.
**Related Indicators in Suite:**
- **VMACDv3**: Volume-weighted MACD on price (not A/D)
- **RSIv2**: RSI with A/D divergence
- **DMI**: Directional Movement Index with A/D divergence
- **Elder Impulse**: Bar coloring system using volume-weighted MACD
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*This indicator is for educational purposes. Always practice proper risk management and never risk more than you can afford to lose.*
