Volatility-Volume Index (VVI)Volatility-Volume Index (VVI) – Indicator Description
The Volatility-Volume Index (VVI) is a custom trading indicator designed to identify market consolidation and anticipate breakouts by combining volatility (ATR) and trading volume into a single metric.
How It Works
Measures Volatility : Uses a 14-period Average True Range (ATR) to gauge price movement intensity.
Tracks Volume : Monitors trading activity to identify accumulation or distribution phases.
Normalization : ATR and volume are normalized using their respective 20-period Simple Moving Averages (SMA) for a balanced comparison.
Interpretation
VVI < 1: Low volatility and volume → Consolidation phase (range-bound market).
VVI > 1: Increased volatility and/or volume → Potential breakout or trend continuation.
How to Use VVI
Detect Consolidation:
Look for extended periods where VVI remains below 1.
Confirm with sideways price movement in a narrow range.
Anticipate Breakouts:
A spike above 1 signals a possible trend shift or breakout.
Why Use VVI?
Unlike traditional volatility indicators (ATR, Bollinger Bands) or volume-based tools (VWAP), VVI combines both elements to provide a clearer picture of consolidation zones and breakout potential.
스크립트에서 "accumulation"에 대해 찾기
Chaikin Money Flow with Moving AverageThis indicator combines the Chaikin Money Flow (CMF) with a moving average, helping traders analyze buying/selling pressure and whether it's increasing or decreasing.
What It Does:
Chaikin Money Flow (CMF) developed by Marc Chaikin is a volume-weighted average of accumulation and distribution over a specified period.
A moving average is applied to CMF to reduce noise and smooth trends, making it easier to identify sustained market sentiment shifts.
How to Use It?
CMF helps confirm trend strength and potential reversals. We reduces false signals from CMF by smoothing fluctuations and making it easier to spot trends.
A CMF value above zero is a sign of strength, and a value below zero is a sign of weakness.
A rising price with a falling CMF (below moving average) is a bearish divergence and a possible reversal of the uptrend.
Similarly, a falling price with a rising CMF (above moving average) is a bullish divergence and again signals a possible reversal of the downtrend.
Configurable Parameters:
CMF Length: Adjusts how many periods are used for CMF calculation.
MA Type: Choose between SMA, EMA, WMA, VWMA, or T3 for smoothing.
MA Length: Controls how much smoothing is applied.
This tool is great for traders looking to improve volume-based trend analysis while filtering out short-term noise.
MT-Turnover.IndicatorMT-Turnover Indicator – Market Liquidity & Activity Gauge
Overview
The MT-Turnover Indicator is a TradingView tool designed to measure market liquidity and trading activity by tracking the turnover rate of a stock. It calculates the turnover percentage by comparing the trading volume to the number of outstanding shares, providing traders with insights into how actively a stock is being traded.
By incorporating a moving average (MA) of turnover and a customizable high turnover threshold, this indicator helps identify periods of increased market participation, potential breakouts, or distribution phases.
Key Features
✔ Turnover Rate Calculation – Expresses turnover as a percentage of outstanding shares
✔ Customizable Moving Average (MA) for Trend Analysis – Smoothens turnover fluctuations for better trend identification
✔ High Turnover Level Alert – Marks periods when turnover exceeds a predefined threshold
✔ Histogram Visualization – Shows turnover dynamics with clear green (above MA) and red (below MA) bars
✔ High Turnover Signal Markers – Flags exceptionally high turnover events for quick identification
How It Works
1. Turnover Rate Calculation
• Formula:

• Configurable Outstanding Shares (in millions) to match the stock being analyzed
2. Turnover Moving Average (MA) for Trend Analysis
• A simple moving average (SMA) of turnover is calculated over a user-defined period (default: 20 days)
• Green bars indicate turnover above MA, suggesting increased activity
• Red bars indicate turnover below MA, signaling lower participation
3. High Turnover Threshold
• Users can set a high turnover level (%) to mark exceptionally active trading periods
• When turnover exceeds this level, a red triangle marker appears above the bar
4. Reference Line & Informative Table
• A dashed red reference line marks the high turnover threshold
• A floating table in the top-right corner provides a quick summary
How to Use This Indicator
📈 For Breakout Traders – High turnover can indicate strong buying interest, often preceding breakouts
📉 For Risk Management – Spikes in turnover may signal distribution phases or panic selling
🔎 For Liquidity Analysis – Helps gauge how liquid a stock is, which can impact price stability
Conclusion
The MT-Turnover Indicator is a powerful tool for identifying periods of high market activity, helping traders detect potential breakouts, reversals, or strong accumulation/distribution phases. By visualizing turnover with a moving average and customizable threshold, it provides valuable insights into market participation trends.
➡ Add this indicator to your TradingView chart and improve your liquidity-based trading decisions today! 🚀
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
Swing Breakout System (SBS)The Swing Breakout Sequence (SBS) is a trading strategy that focuses on identifying high-probability entry points based on a specific pattern of price swings. This indicator will identify these patterns, then draw lines and labels to show confirmation.
How To Use:
The indicator will show both Bullish and Bearish SBS patterns.
Bullish Pattern is made up of 6 points: Low (0), HH (1), LL (2 | but higher than initial Low), New HH (3), LL (5), LL again (5)
Bearish Patten is made up of 6 points: High (0), LL (1), HH (2 | but lower than initial high), New LL (3), HH (5), HH again (5)
A label with an arrow will appear at the end, showing the completion of a successful sequence
Idea behind the strategy:
The idea behind this strategy, is the accumulation and then manipulation of liquidity throughout the sequence. For example, during SBS sequence, liquidity is accumulated during step (2), then price will push away to make a new high/low (step 3), after making a minor new high/low, price will retrace breaking the key level set up in step (2). This is price manipulating taking liquidity from behind high/low from step (2). After taking liquidity price the idea is price will continue in the original direction.
Step 0 - Setting up initial direction
Step 1 - Setting up initial direction
Step 2 - Key low/high establishing liquidity
Step 3 - Failed New high/low
Step 4 - Taking liquidity from step (2)
Step 5 - Taking liquidity from step 2 and 4
Pattern Detection:
- Uses pivot high/low points to identify swing patterns
- Stores 6 consecutive swing points in arrays
- Identifies two types of patterns:
1. Bullish Pattern: A specific sequence of higher lows and higher highs
2. Bearish Pattern: A specific sequence of lower highs and lower lows
Note: Because the indicator is identifying a perfect sequence of 6 steps, set ups may not appear frequently.
Visualization:
- Draws connecting lines between swing points
- Labels each point numerically (optional)
- Shows breakout arrows (↑ for bullish, ↓ for bearish)
- Generates alerts on valid breakouts
User Input Settings:
Core Parameters
1. Pivot Lookback Period (default: 2)
- Controls how many bars to look back/forward for pivot point detection
- Higher values create fewer but more significant pivot points
2. Minimum Pattern Height % (default: 0.1)
- Minimum required height of the pattern as a percentage of price
- Filters out insignificant patterns
3. Maximum Pattern Width (bars) (default: 50)
- Maximum allowed width of the pattern in bars
- Helps exclude patterns that form over too long a period
ICT Concepts: MML, Order Blocks, FVG, OTECore ICT Trading Concepts
These strategies are designed to identify high-probability trading opportunities by analyzing institutional order flow and market psychology.
1. Market Maker Liquidity (MML) / Liquidity Pools
Idea: Institutional traders ("market makers") place orders around key price levels where retail traders’ stop losses cluster (e.g., above swing highs or below swing lows).
Application: Look for "liquidity grabs" where price briefly spikes to these levels before reversing.
Example: If price breaks a recent high but reverses sharply, it may indicate a liquidity grab to trigger retail stops before a trend reversal.
2. Order Blocks (OB)
Idea: Institutional orders are often concentrated in specific price zones ("order blocks") where large buy/sell decisions occurred.
Application: Identify bullish order blocks (strong buying zones) or bearish order blocks (strong selling zones) on higher timeframes (e.g., 1H/4H charts).
Example: A bullish order block forms after a strong rally; price often retests this zone later as support.
3. Fair Value Gap (FVG)
Idea: A price imbalance occurs when candles gap without overlapping, creating an area of "unfair" price that the market often revisits.
Application: Trade the retracement to fill the FVG. A bullish FVG acts as support, and a bearish FVG acts as resistance.
Example: Three consecutive candles create a gap; price later returns to fill this gap, offering a entry point.
4. Time-Based Analysis (NY Session, London Kill Zones)
Idea: Institutional activity peaks during specific times (e.g., 7 AM – 11 AM New York time).
Application: Focus on trades during high-liquidity periods when banks and hedge funds are active.
Example: The "London Kill Zone" (2 AM – 5 AM EST) often sees volatility due to European market openings.
5. Optimal Trade Entry (OTE)
Idea: A retracement level (similar to Fibonacci retracement) where institutions re-enter trends after a pullback.
Application: Look for 62–79% retracements in a trend to align with institutional accumulation/distribution zones.
Example: In an uptrend, price retraces 70% before resuming upward—enter long here.
6. Stop Hunts
Idea: Institutions manipulate price to trigger retail stop losses before reversing direction.
Application: Avoid placing stops at obvious levels (e.g., above/below recent swings). Instead, use wider stops or wait for confirmation.
TD Supply & Demand Points ```
TD Supply & Demand Points Indicator
This technical indicator helps identify potential supply and demand zones using price action pattern recognition. It scans for specific candle formations that may indicate institutional trading activity and potential reversal points.
Features:
• Two pattern detection modes:
Level 1: Basic 3-candle pattern for faster signals
Level 2: Advanced 5-candle pattern for higher probability setups
• Clear visual markers:
- Red X above bars for supply points
- Green X below bars for demand points
- Automatic offset adjustment based on pattern level
Pattern Definitions:
Level 1 (3-candle pattern):
Supply: Middle candle's high is higher than both surrounding candles
Demand: Middle candle's low is lower than both surrounding candles
Level 2 (5-candle pattern):
Supply: Sequence showing distribution with higher highs followed by lower highs
Demand: Sequence showing accumulation with lower lows followed by higher lows
Usage Tips:
• Use Level 1 for more frequent signals and Level 2 for stronger setups
• Look for confluence with key support/resistance levels
• Consider overall market context and trend
• Can be used across multiple timeframes
• Best combined with volume and price action analysis
Settings:
Pattern Level: Toggle between Level 1 (3-candle) and Level 2 (5-candle) patterns
Note: This indicator is designed to assist in identifying potential trading opportunities but should be used as part of a comprehensive trading strategy with proper risk management.
Version: 5.0
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I've written this description to be:
1. Clear and concise
2. Technically accurate
3. Helpful for both new and experienced traders
4. Professionally formatted for TradingView
5. Focused on the key features and practical usage
Would you like me to modify any part of it or add more specific details about certain aspects?
Thin Liquidity Zones [PhenLabs]Thin Liquidity Zones with Volume Delta
Our advanced volume analysis tool identifies and visualizes significant liquidity zones using real-time volume delta analysis. This indicator helps traders pinpoint and monitor critical price levels where substantial trading activity occurs, providing precise volume flow measurement through lower timeframe analysis.
The tool works by leveraging the fact that hedge funds, institutions, and other large market participants strategically fill their orders in areas of thin liquidity to minimize slippage and market impact. By detecting these zones, traders gain valuable insights into potential areas of accumulation, distribution, and liquidity traps, allowing for more informed trading decisions.
🔍 Key Features
Real-time volume delta calculation using lower timeframe data
Dynamic zone creation based on volume spikes
Automatic timeframe optimization
Size-filtered zones to avoid noise
Custom delta timeframe scanning
Flexible analysis period selection
📊 Visual Demonstration
💡 How It Works
The indicator continuously scans for high-volume areas where trading activity exceeds the specified threshold (default 6.0x average volume). When detected, it creates zones that display the net volume delta, showing whether buying or selling pressure dominated that price level.
Key zone characteristics:
Size filtering prevents noise from large price swings
Volume delta shows actual buying/selling pressure
Zones automatically expire based on lookback period
Real-time updates as new volume data arrives
⚙️ Settings
Time Settings
Analysis Timeframe: 15M to 1W options
Custom Period: User-defined bar count
Delta Timeframe: Automatic or manual selection
Volume Analysis
Volume Threshold: Minimum spike multiple
Volume MA Length: Averaging period
Maximum Zone Size: Size filter percentage
Display Options
Zone Color: Customizable with transparency
Delta Display: On/Off toggle
Text Position: Left/Center/Right alignment
📌 Tips for Best Results
Adjust volume threshold based on instrument volatility
Monitor zone clusters for potential support/resistance
Consider reducing max zone size in volatile markets
Use in conjunction with price action and other indicators
⚠️ Important Notes
Requires volume data from your data provider
Lower timeframe scanning may impact performance
Maximum 500 zones maintained for optimization
Zone creation is filtered by both volume and size
🔧 Volume Delta Calculation
The indicator uses TradingView’s advanced volume delta calculation, which:
Scans lower timeframe data for precision
Measures actual buying vs selling pressure
Updates in real-time with new data
Provides clear positive/negative flow indication
This tool is ideal for traders focusing on volume analysis and order flow. It helps identify key levels where significant trading activity has occurred and provides insight into the nature of that activity through volume delta analysis.
Note: Performance may vary based on your chart’s timeframe. Adjust settings according to your trading style and the instrument’s characteristics. Past performance is not indicative of future results, DYOR.
VWMACD-MFI-OBV Composite# MACD-MFI-OBV Composite
A dynamic volume-based technical indicator combining Volume-Weighted MACD, Money Flow Index (MFI), and normalized On Balance Volume (OBV). This composite indicator excels at identifying breakouts and strong trend movements through multiple volume confirmations, making it particularly effective for momentum and high-volatility trading environments.
## Overview
The indicator integrates trend, momentum, and cumulative volume analysis into a unified visualization system. Each component is carefully normalized to enable direct comparison, while the background color system provides instant trend recognition. This version is specifically optimized for breakout detection and strong trend confirmation.
## Core Components
### Volume-Weighted MACD
Visualized through the background color system, this enhanced MACD implementation uses Volume-Weighted Moving Averages (VWMA) instead of traditional EMAs. This modification ensures greater sensitivity to volume-supported price movements while filtering out less significant low-volume price changes. The background alternates between green (bullish) and red (bearish) to provide immediate trend feedback.
### Money Flow Index (MFI)
Displayed as the purple line, the MFI functions as a volume-weighted momentum oscillator. Operating within a natural 0-100 range, it helps identify potential overbought and oversold conditions while confirming volume support for price movements. The MFI is particularly effective at validating breakout momentum.
### Normalized On Balance Volume (OBV)
The white line represents normalized OBV, providing insight into cumulative buying and selling pressure. The normalization process scales OBV to match other components while maintaining its ability to confirm price trends through volume analysis. This component excels at identifying strong breakout movements and volume surges.
## Signal Integration
The indicator generates its most powerful signals when all three components align, particularly during breakout conditions:
Strong Bullish Signals develop when:
- Background shifts to green (VWMACD bullish)
- MFI shows strong upward momentum
- OBV demonstrates sharp volume accumulation
Strong Bearish Signals emerge when:
- Background turns red (VWMACD bearish)
- MFI exhibits downward momentum
- OBV shows significant volume distribution
## Market Application
This indicator variant is specifically designed for:
Breakout Trading:
The OBV component provides excellent sensitivity to volume surges, making it ideal for breakout confirmation and momentum validation.
Trend Following:
Sharp OBV movements combined with MFI momentum help identify and confirm strong trending conditions.
High Volatility Markets:
The indicator's design excels in active, volatile markets where clear signal generation is crucial for decision-making.
## Technical Implementation
Default Parameters:
Volume-Weighted MACD maintains traditional periods (12/26/9) while leveraging volume weighting. MFI uses standard 14-period calculation with 80/20 overbought/oversold thresholds. All components undergo normalization over a 100-period lookback for stable comparison.
Visual Elements:
- Background: VWMACD trend indication (green/red)
- Purple Line: Money Flow Index
- White Line: Normalized OBV
- Yellow Line: Combined signal (arithmetic mean of normalized components)
- Reference Lines: Key levels at 20, 50, and 80
## Trading Methodology
The indicator supports a systematic approach to breakout and momentum trading:
1. Breakout Identification
Monitor for background color changes accompanied by significant OBV movement, indicating potential breakout conditions.
2. Volume Surge Confirmation
Examine OBV slope and magnitude to confirm genuine breakout scenarios versus false moves.
3. Momentum Validation
Use MFI to confirm breakout strength and identify potential exhaustion points.
4. Combined Signal Analysis
The yellow line provides a unified view of all components, helping identify high-probability breakout opportunities.
## Interpretation Guidelines
Breakout Confirmation:
Strong breakouts typically show alignment of all three components with notable OBV surge. This configuration often precedes significant price movements.
Trend Strength:
Continuous OBV expansion during trends, supported by steady MFI readings, suggests sustained momentum.
## Market Selection
Optimal Markets Include:
- High-beta growth stocks
- Momentum-driven securities
- Stocks with significant volatility
- Active trading instruments
- Examples: TSLA, NVDA, growth stocks
## Version Information
Current Version: 2.0.0
This indicator represents a specialized adaptation of volume-based analysis, optimized for breakout trading and momentum strategies in high-volatility environments.
ICT CRT Model Range with EquilibriumICT CRT Model Range with Equilibrium Indicator
This indicator calculates and displays the high, low, and equilibrium levels within a custom-defined session (9:00 am to 10:00 am New York Time and the lines will stop appearing at 16:00pm ). It draws horizontal lines to represent the session's range and marks the equilibrium point as a reference.
What is CRT (Candle Range Theory)?
Candle Range Theory (CRT) is based on the concept that every candle on any timeframe forms its own range. These ranges can either be manipulated—through strategies like Turtle Soup—or broken, resulting in price movements such as engulfing patterns, breakouts, and retests beyond the candle's high or low.
CRT is commonly visualized as a 3-candle model, but it can include more candles due to the presence of inside bars. An inside bar is a candle whose high is not higher than the previous candle's high and whose low is not lower than the previous candle's low.
The CRT model follows the A-M-D structure:
Accumulation (A): The first candle or group of candles (inside bars) represents market consolidation.
Manipulation (M): The second candle signals a false move, often a Turtle Soup setup designed to trap traders.
Distribution (D): The third candle confirms the true market move, breaking out of the range and establishing the trend.
Customizable Settings:
Line Colors: Choose your preferred colors for the high, low, and equilibrium lines.
Line Widths: Adjust the thickness of the lines for better visibility.
Line Styles: Select from solid, dotted, or dashed styles for each line.
Label Settings: Customize the text and colors of the labels for the high, low, and equilibrium points.
Traders can easily modify these settings to suit their visual preferences and trading strategies. This indicator is ideal for identifying price action within a specific range, offering clear visual cues for potential CRT Setup.
Time-Based VWAP (TVWAP)(TVWAP) Indicator
The Time-Based Volume Weighted Average Price (TVWAP) indicator is a customized version of VWAP designed for intraday trading sessions with defined start and end times. Unlike the traditional VWAP, which calculates the volume-weighted average price over an entire trading day, this indicator allows you to focus on specific time periods, such as ICT kill zones (e.g., London Open, New York Open, Power Hour). It helps crypto scalpers and advanced traders identify price deviations relative to volume during key trading windows.
Key Features:
Custom Time Interval:
You can set the exact start and end times for the VWAP calculation using input settings for hours and minutes (24-hour format).
Ideal for analyzing short, high-liquidity periods.
Dynamic Accumulation of Price and Volume:
The indicator resets at the beginning of the specified session and accumulates price-volume data until the end of the session.
Ensures that the TVWAP reflects the weighted average price specific to the chosen session.
Visual Representation:
The indicator plots the TVWAP line only during the specified time window, providing a clear visual reference for price action during that period.
Outside the session, the TVWAP line is hidden (na).
Use Cases:
ICT Scalp Trading:
Monitor price rebalances or potential liquidity sweeps near TVWAP during important trading sessions.
Mean Reversion Strategies:
Detect pullbacks toward the session’s average price for potential entry points.
Breakout Confirmation:
Confirm price direction relative to TVWAP during kill zones or high-volume times to determine if a breakout is supported by volume.
Inputs:
Start Hour/Minute: The time when the TVWAP calculation starts.
End Hour/Minute: The time when the TVWAP calculation ends.
Technical Explanation:
The indicator uses the timestamp function to create time markers for the session start and end.
During the session, the price-volume (close * volume) is accumulated along with the total volume.
TVWAP is calculated as:
TVWAP = (Sum of (Price × Volume)) ÷ (Sum of Volume)
Once the session ends, the TVWAP resets for the next trading period.
Customization Ideas:
Alerts: Add notifications when the price touches or deviates significantly from TVWAP.
Different Colors: Use different line colors based on upward or downward trends.
Multiple Sessions: Add support for multiple TVWAP lines for different time periods (e.g., London + New York).
Dashboard MTF profile volume Indicator Description
This indicator, titled "Swing Points and Liquidity & Profile Volume," combines multiple features to provide a comprehensive market analysis:
Volume Profile: Displays buy and sell volumes across multiple timeframes (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, 1 day).
Volume Moving Averages: Plots two moving averages (short and long) to analyze volume trends.
Dashboard: A summary dashboard shows buy and sell volumes for each timeframe, with distinct colors for better visualization.
Swing Points: Identifies liquidity levels and swing points to help pinpoint key entry and exit zones.
How to Use
1. Indicator Installation
Go to TradingView.
Open the Pine Script Editor.
Copy and paste the provided code.
Click on "Add to Chart."
2. Indicator Settings
The indicator offers several customizable parameters:
Display Volume (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, 1 day): Enable or disable volume display for each timeframe.
Short Moving Average Length (MA): Set the short moving average period (default: 5).
Long Moving Average Length (MA): Set the long moving average period (default: 14).
Dashboard Position: Choose where to display the dashboard (bottom-right, bottom-left, top-right, top-left).
Text Color: Customize the text color in the dashboard.
Text Size: Choose text size (small, normal, large).
3. Using the Indicator
Volume Analysis
The dashboard displays buy (Buy Volume) and sell (Sell Volume) volumes for each timeframe.
Buy Volume: Volume of trades where the closing price is higher than the opening price (aggressive buying).
Sell Volume: Volume of trades where the closing price is equal to or lower than the opening price (aggressive selling).
Volumes are displayed in real-time and update with each new candle.
Volume Moving Averages
Two moving averages are plotted on the chart:
MA Volume (Short): Short moving average (blue) to identify short-term volume trends.
MA Volume (Long): Long moving average (red) to identify long-term volume trends.
Use these moving averages to spot accumulation or distribution periods.
Swing Points and Liquidity
Swing points are identified based on price levels where volumes are highest.
These levels can act as support/resistance zones or liquidity areas to plan entries and exits.
Usage Guidelines
1. Entering a Position
Buy (Long):
When Buy Volume is significantly higher than Sell Volume across multiple timeframes.
When the short moving average (blue) crosses above the long moving average (red).
Sell (Short):
When Sell Volume is significantly higher than Buy Volume across multiple timeframes.
When the short moving average (blue) crosses below the long moving average (red).
2. Exiting a Position
Use liquidity levels (swing points) to set profit targets or stop-loss levels.
Monitor volume changes to anticipate trend reversals.
3. Risk Management
Use stop-loss orders to limit losses.
Avoid trading during low-volume periods to reduce false signals.
Compliance with Trading View Guidelines
Intellectual Property:
The code is provided for educational and personal use. You may modify and use it but cannot resell or distribute it as your own work.
Responsible Use:
Trading View encourages responsible use of indicators. Test the indicator on a demo account before using it in live trading.
Transparency:
The code is fully transparent and can be reviewed in the Pine Script Editor. You may modify it to suit your needs.
Practical Examples
Scenario 1: Bullish Trend
Buy Volume is high on 1-hour and 4-hour time frames.
The short moving average (blue) is above the long moving average (red).
Action: Open a long position (Buy) and set a stop-loss below the last swing low.
Scenario 2: Bearish Trend
Sell Volume is high on 1-hour and 4-hour time frames.
The short moving average (blue) is below the long moving average (red).
Action: Open a short position (Sell) and set a stop-loss above the last swing high.
On-Chain Analysis [LuxAlgo]The On-Chain Analysis tool offers a comprehensive overview of essential on-chain metrics, enabling traders and investors to grasp the underlying activity and sentiment within the cryptocurrency market. By integrating metrics like wallet profitability, exchange flows, on-chain volume, social sentiment, and more into your charts, users can gain valuable insights into cryptocurrency network behavior, spot emerging trends, and better manage risk in the cryptocurrency market.
🔶 USAGE
🔹 On-Chain Analysis
When analyzing cryptocurrencies, several fundamental metrics are crucial for assessing the value and potential of a digital asset. This indicator is designed to help traders and analysts evaluate the markets by utilizing various data gathered directly from the blockchain. The gathered on-chain data includes wallet profitability, exchange flows, miner flows, on-chain volume, large buyers/sellers, market capitalization, market dominance, active addresses, total value locked (TVL), market value to realized value (MVRV), developer activity, social sentiment, holder behavior, and balance types.
Use wallet profitability and social sentiment metrics to gauge the overall mood of the market, helping to anticipate potential buying or selling pressure.
On-chain volume and active addresses provide insights into how actively a cryptocurrency is being used, indicating network health and adoption levels.
By tracking exchange flows and holder balance types, you can identify significant moves by whales or institutions, which may signal upcoming price shifts.
Market capitalization and miner flows give you an understanding of the supply side of the market, aiding in evaluating whether an asset is overvalued or undervalued.
The distribution of holdings among retail investors, whales, and institutional groups can greatly influence market dynamics. A large concentration of holdings by whales may indicate the potential for significant price swings, given their capacity to execute substantial trades. A higher proportion of institutional investors often suggests confidence in the asset's long-term potential, as these entities typically conduct thorough research before investing. While retail participation indicates broader adoption, it also introduces higher volatility, as these investors tend to be more reactive to market fluctuations.
Understanding the balance and behavior of short-term traders, mid-term cruisers, and long-term hodlers helps traders and analysts predict market trends and assess the underlying confidence in a particular cryptocurrency.
🔶 DETAILS
This script includes some of the most significant and insightful metrics in the crypto space, designed to evaluate and enhance trading decisions by assessing the value and growth potential of cryptocurrencies. The introduced metrics are:
🔹 Wallet Profitability
Definition: Represents the percentage distribution of addresses by profitability at the current price.
Importance: Indicates potential selling pressure or reduced selling pressure based on whether addresses are in profit or loss.
🔹 Exchange Flow
Definition: The total amount of a cryptocurrency moving in and out of exchanges.
Importance: Large inflows to exchanges can indicate potential selling pressure, while large outflows might suggest accumulation or long-term holding.
🔹 Miner Flow
Definition: Tracks the inflow and outflow of funds by miners.
Importance: High inflows could indicate selling pressure, whereas low inflows or outflows might reflect miner confidence.
🔹 On-Chain Volume
Definition: The total value of transactions conducted on a blockchain within a specific period.
Importance: On-chain volume reflects actual usage of the network, indicating how actively a cryptocurrency is being utilized for transactions.
🔹 Large Buyers/Sellers
Definition: Tracks the number of large buyers (bulls) and sellers (bears) based on transaction volume.
Importance: Comparing the number of large buyers (bulls) to large sellers (bears) helps gauge market trends and sentiment.
🔹 Market Capitalization
Definition: The total value of a cryptocurrency's circulating supply, calculated by multiplying the current price by the total supply.
Importance: Market cap is a key indicator of a cryptocurrency’s size and market dominance. It helps compare the relative size of different cryptocurrencies.
🔹 Market Dominance
Definition: Market dominance represents a cryptocurrency’s share of the total market capitalization of all cryptocurrencies. It is calculated by dividing the market cap of the cryptocurrency by the total market cap of the cryptocurrency market.
Importance: Market dominance is a crucial indicator of a cryptocurrency's influence and relative position in the market. It helps assess the strength of a cryptocurrency compared to others and provides insights into its market presence and potential influence.
Special Consideration: Since BTC and ETH dominance is relatively high compared to other cryptocurrencies, specific adjustments are made during the presentation of values and charts. When analyzing BTC, the total market capitalization is used. For ETH analysis, BTC is excluded from the total market cap. For any other cryptocurrency besides BTC and ETH, both BTC and ETH are excluded from the total market cap to provide a more accurate view.
🔹 Active Addresses
Definition: The number of unique addresses involved in transactions within a specific period.
Importance: A higher number of active addresses suggests greater network activity and user adoption, which can be a sign of a healthy ecosystem.
🔹 Total Value Locked (TVL)
Definition: The total value of assets locked in a decentralized finance (DeFi) protocol.
Importance: TVL is a key metric for DeFi platforms, indicating the level of trust and the amount of liquidity in a protocol.
🔹 Market Value to Realized Value (MVRV)
Definition: A ratio comparing the market cap to realized cap.
Importance: A high ratio may indicate overvaluation (potential selling), while a low ratio could signal undervaluation (potential buying).
🔹 Developer Activity
Definition: The level of activity on a cryptocurrency’s public repositories (e.g., GitHub).
Importance: Strong developer activity is a sign of ongoing innovation, updates, and a healthy project.
🔹 Social Sentiment
Definition: The general sentiment or mood of the community and investors as expressed on social media and forums.
Importance: Positive sentiment often correlates with price increases, while negative sentiment can signal potential downtrends.
🔹 Holder Balance (Behavior)
Definition: Distribution of addresses by holding behavior: Traders (short-term), Cruisers (mid-term), and Hodlers (long-term).
Importance: Helps predict market behavior based on different holder types.
🔹 Holder Balance (Type)
Definition: Distribution of cryptocurrency holdings among Retail (small holders), Whales (large holders), and Investors (institutional players).
Importance: Assesses the potential impact of different user groups on the market. A more decentralized distribution is generally viewed as positive, reducing the risk of price manipulation by large holders.
These metrics provide a comprehensive view of a cryptocurrency’s health, adoption, and potential for growth, making them essential for fundamental analysis in the crypto space.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 On-Chain Analysis
On-Chain Data: Choose the specific on-chain metric from the drop-down menu. Options include Wallet Profitability, Exchange Flow, Miner Flow, On-Chain Volume, Large Buyers/Sellers (Volume), Market Capitalization, Market Dominance, Active Addresses, Total Value Locked, Market Value to Realized Value, Developer Activity, Social Sentiment, Holder Balance (Behavior), and Holder Balance (Type).
Smoothing: Set the smoothing level to refine the displayed data. This can help in filtering out noise and getting a clearer view of trends.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) and the length of the moving average for signal line calculation.
🔹 On-Chain Dashboard
On-Chain Stats: Toggle the display of the on-chain statistics.
Dashboard Size, Position, and Colors: Customize the size, position, and colors of the on-chain dashboard on the chart.
🔶 LIMITATIONS
Availability of on-chain data may vary and may not be accessible for all crypto assets.
🔶 RELATED SCRIPTS
Market-Sentiment-Technicals
Simple Volume Profile with POC (Daily/4H Sessions) [Enhanced]Simple Volume Profile with a Point of Control (POC). The script does the following:
Accumulates volume in user-defined “bins” (price buckets) for a session.
Resets the volume accumulation each new “session”:
On a Daily chart, it considers weekly sessions (resets each Monday).
On a 4H chart, it considers daily sessions (resets at the start of each trading day).
Finds the Point of Control (the price bin with the highest accumulated volume).
Plots the histogram and the POC line on the chart.
Fair Value Gap [by Oberlunar]Fair Value Gap
This indicator is designed to identify and display Fair Value Gaps (FVG) on the price chart. Fair Value Gaps are areas between candles where the price lacks continuity, leaving a "gap" that can serve as a reference point for price retracements. These zones are often considered important by traders as they represent market imbalances that tend to be "mitigated" (i.e., filled or tested) over time.
Purpose of Publication
This indicator addresses a common gap in FVG indicators. Most existing FVG indicators do not visually distinguish between mitigated (touched) FVGs and those that remain intact. With this indicator:
Mitigated FVGs are clearly displayed with distinct colors, allowing traders to identify which zones have been partially or fully filled by the price.
Unmitigated FVGs remain prominent, representing potential points of interest.
Key Features
Identification of Fair Value Gaps:
A Bullish FVG (upward gap) forms when the high of the three previous candles (candle -3) is lower than the low of the next candle (candle -1).
A Bearish FVG (downward gap) forms when the low of the three previous candles (candle -3) is higher than the high of the next candle (candle -1).
Dynamic Coloring:
Unmitigated FVGs are highlighted with specific colors: green for Bullish and red for Bearish gaps.
When an FVG is "touched" by the price (i.e., mitigated), the color changes:
Yellow-green for mitigated Bullish FVGs.
Purple for mitigated Bearish FVGs.
Handling Mitigated FVGs:
When an FVG is touched by the price, it is visually updated with a different color.
An option can be enabled to "shrink" the mitigated zone, adjusting the box to reflect the remaining untested portion of the gap.
Customization:
Configure the maximum number of FVGs to display on the chart.
Set specific colors for mitigated and unmitigated FVGs.
Choose whether to automatically shrink mitigated zones.
How to Identify Support and Resistance Levels
Support:
Bullish FVGs represent potential support levels, as they indicate areas where the price might return to seek liquidity or fill the imbalance.
An FVG that is repeatedly touched without being fully filled becomes a significant support zone.
Resistance:
Bearish FVGs represent potential resistance levels, indicating zones where the price might stall or reverse direction.
Why a Repeatedly Mitigated FVG is Significant
When an FVG is touched or mitigated multiple times, it means the market recognizes that area as significant. This can happen for several reasons:
Accumulation or Distribution: Institutional traders may use these zones to accumulate or distribute positions without causing excessive market movement.
Presence of Liquidity: FVGs often represent areas with pending orders (stop-losses, limit orders), and the price revisits these zones to seek liquidity.
Market Equilibrium: When an FVG is repeatedly filled, it indicates the market's attempt to balance a demand-supply imbalance. This makes the zone an important level to monitor for potential breakouts or reversals.
Volume Bulls vs Bears (Improved)The "Volume Bulls vs Bears (Improved)" is a raw and powerful volume-based indicator for TradingView that visualizes market participation by separating volume into "bullish" and "bearish" components. It provides a clear and visually appealing stacked histogram alongside a moving average of total volume, helping traders identify trends in market participation.
Key Features
Bullish vs Bearish Volume Separation:
Bullish Volume: Represents the portion of volume contributed by buyers (when prices move up).
Bearish Volume: Represents the portion of volume contributed by sellers (when prices move down).
Volume is calculated based on price action within the range of the candle:
Bulls = ((Close - Low) / (High - Low)) * Total Volume
Bears = ((High - Close) / (High - Low)) * Total Volume
Stacked Histogram:
Bullish and bearish volumes are plotted as a stacked histogram.
Bull Color: Green (default).
Bear Color: Red (default).
This makes it easy to spot shifts in volume dominance between bulls and bears.
Volume SMA:
A Simple Moving Average (SMA) of total volume over a user-defined period helps smooth out fluctuations and shows overall volume trends.
Default period is 20 bars.
SMA Line: Yellow (default), adjustable in width.
User-Customizable Inputs:
Volume SMA Period: Adjust the lookback period for the moving average.
Bull/Bear Colors: Customizable histogram colors.
SMA Line Color and Width: Allows flexibility for better chart aesthetics.
Non-Overlapping Visuals:
The histogram avoids overlap, ensuring clarity by visually stacking bullish and bearish volumes.
How to Use the Indicator
Identify Bullish Volume Dominance:
If the green (bullish) volume bars are larger, it indicates stronger buying pressure within the candle range.
Identify Bearish Volume Dominance:
If the red (bearish) volume bars are larger, it signals stronger selling pressure.
Volume Trend:
Use the Volume SMA line to identify whether overall volume is increasing, decreasing, or staying stable. Rising volume typically strengthens trends, while declining volume can indicate weakness.
Use Cases
Spotting volume trends that confirm price movements (e.g., rising prices with rising bullish volume).
Recognizing potential reversals when bearish volume starts dominating previously bullish candles.
Identifying accumulation or distribution phases by analyzing volume behavior.
Conclusion
This "Volume Bulls vs Bears (Improved)" indicator provides traders with deeper insights into market participation. Its raw, no-frills design offers clear visuals to help assess bullish and bearish volume dynamics with an additional smoothing component through the SMA. It’s an essential tool for volume-focused traders looking to confirm trends or anticipate reversals.
COIN/BTC Trend OscillatorThe COIN/BTC Trend Oscillator is a versatile tool designed to measure and visualize momentum divergences between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). It helps identify overbought and oversold conditions, while also highlighting potential trend reversals.
Key Features:
VWAP-Based Divergence Analysis:
• Tracks the difference between NASDAQ:COIN and CRYPTOCAP:BTC relative to their respective VWAPs.
• Highlights shifts in momentum between the two assets.
Normalized Oscillator:
• Uses ATR normalization to adapt to different volatility conditions.
• Displays momentum shifts on a standardized scale for better comparability.
Overbought and Oversold Conditions:
• Identifies extremes using customizable thresholds (default: ±80).
• Dynamic background colors for quick visual identification:
• Blue for overbought zones (potential sell).
• White for oversold zones (potential buy).
Rolling Highs and Lows Detection:
• Tracks turning points in the oscillator to identify possible trend reversals.
• Useful for spotting exhaustion or accumulation phases.
Use Case:
This indicator is ideal for trading Coinbase stock relative to Bitcoin’s momentum. It’s especially useful during strong market trends, helping traders time entries and exits based on extremes in relative performance.
Limitations:
• Performance may degrade in choppy or sideways markets.
• Assumes a strong correlation between NASDAQ:COIN and CRYPTOCAP:BTC , which may not hold during independent events.
Pro Tip: Use this oscillator with broader trend confirmation tools like moving averages or RSI to improve reliability. For macro strategies, consider combining with higher timeframes for alignment.
Strength of Divergence Across Multiple Indicators (+CMF&VWMACD)Modified Version of Strength of Divergence Across Multiple Indicators by reees
Purpose:
This Pine Script indicator is designed to identify and evaluate the strength of bullish and bearish divergences across multiple technical indicators. Divergences occur when the price of an asset is moving in one direction while a technical indicator is moving in the opposite direction, potentially signaling a trend reversal.
Key Features:
1. Multiple Indicator Support: The script now analyzes divergences for the following indicators:
* RSI (Relative Strength Index)
* OBV (On-Balance Volume)
* MACD (Moving Average Convergence/Divergence)
* STOCH (Stochastic Oscillator)
* CCI (Commodity Channel Index)
* MFI (Money Flow Index)
* AO (Awesome Oscillator)
* CMF (Chaikin Money Flow) - Newly added
* VWMACD (Volume-Weighted MACD) - Newly added
2. Customizable Divergence Parameters:
* Bullish/Bearish: Enable or disable the detection of bullish and bearish divergences independently.
* Regular/Hidden: Detect both regular and hidden divergences (hidden divergences can indicate trend continuation).
* Broken Trendline Exclusion: Optionally ignore divergences where the trendline connecting price pivots is broken by an intermediate pivot.
* Pivot Lookback Periods: Adjust the number of bars used to identify valid pivot highs and lows for divergence calculations.
* Weighting: Assign different weights to regular vs. hidden divergences and to the relative change in price vs. the indicator.
3. Indicator-Specific Settings:
* Weight: Each indicator can be assigned a weight, influencing its contribution to the overall divergence strength calculation.
* Extreme Value: Define a threshold above which an indicator's divergence is considered "extreme," giving it a higher strength rating.
4. Divergence Strength Calculation:
* For each indicator, the script calculates a divergence "degree" based on the magnitude of the divergence and the user-defined weightings.
* The total divergence strength is the sum of the individual indicator divergence degrees.
* Strength is categorized as "Extreme," "Very strong," "Strong," "Moderate," "Weak," or "Very weak."
5. Visualization:
* Divergence Lines: The script draws lines on the chart connecting the price and indicator pivots that form a divergence (optional, with customizable transparency).
* Labels: Labels display the total divergence strength and a breakdown of each indicator's contribution. The size and visibility of labels are based on the strength.
6. Alerts:
* The script can generate alerts when the total divergence strength exceeds a user-defined threshold.
New Indicators (CMF and VWMACD):
* Chaikin Money Flow (CMF):
* Purpose: Measures the buying and selling pressure by analyzing the relationship between price, volume, and the accumulation/distribution line.
* Divergence: A bullish CMF divergence occurs when the price makes a lower low, but the CMF makes a higher low (suggesting increasing buying pressure). A bearish divergence is the opposite.
* Volume-Weighted MACD (VWMACD):
* Purpose: Similar to the standard MACD but uses volume-weighted moving averages instead of simple moving averages, giving more weight to periods with higher volume.
* Divergence: Divergences are interpreted similarly to the standard MACD, but the VWMACD can be more sensitive to volume changes.
How It Works (Simplified):
1. Pivot Detection: The script identifies pivot highs and lows in both price and the selected indicators using the specified lookback periods.
2. Divergence Check: For each indicator:
* It checks if a series of pivots in price and the indicator are diverging (e.g., price makes a lower low, but the indicator makes a higher low for a bullish divergence).
* It calculates the divergence degree based on the difference in price and indicator values, weightings, and whether it's a regular or hidden divergence.
3. Strength Aggregation: The script sums up the divergence degrees of all enabled indicators to get the total divergence strength.
4. Visualization and Alerts: It draws lines and labels on the chart to visualize the divergences and generates alerts if the total strength exceeds the set threshold.
Benefits:
* Comprehensive Divergence Analysis: By considering multiple indicators, the script provides a more robust assessment of potential trend reversals.
* Customization: The many adjustable parameters allow traders to fine-tune the script to their specific trading style and preferences.
* Objective Strength Evaluation: The divergence strength calculation and categorization offer a more objective way to evaluate the significance of divergences.
* Early Warning System: Divergences can often precede significant price movements, making this script a valuable tool for anticipating potential trend changes.
* Volume Confirmation: The inclusion of CMF and VWMACD add volume-based confirmation to the divergence signals, potentially increasing their reliability.
Limitations:
* Lagging Indicators: Most of the indicators used are lagging, meaning they are based on past price data. Divergences may sometimes occur after a significant price move has already begun.
* False Signals: No indicator is perfect, and divergences can sometimes produce false signals, especially in choppy or ranging markets.
* Subjectivity: While the script aims for objectivity, some settings (like weightings and extreme values) still involve a degree of subjective judgment.
Buy Low Sell High Composite Upgraded V6 [kristian6ncqq]NOTICE: This script is an upgraded and enhanced version of the original "Buy Low Sell High Composite" indicator by (published in 2017).
The original script provided a composite indicator combining multiple technical analysis metrics such as RSI, MACD, and MFI.
Why I Republished This Script
I found the original indicator to be exceptionally useful for identifying optimal accumulation zones for stocks or assets when prices are low (red area) and potential profit-taking zones when prices are high (green area).
To ensure it remains accessible and functional for modern trading strategies, I have updated and enhanced the original version with additional features and flexibility.
Intended Use
This indicator is designed for traders and investors looking to:
Accumulate stocks or assets when the price is in the low (red) zone.
Take profits or reduce positions when the price is in the high (green) zone.
The composite score provides a clear visualization of multiple technical indicators combined into a single actionable signal.
Enhancements in This Version
Updated to Pine Script v6 (from version 3).
Added input parameters for key settings (e.g., RSI length, MACD parameters, smoothing).
Introduced Chande Momentum Oscillator (CMO) and directional ADX for improved trend detection.
Implemented slope-based trend coloring for outer edges to highlight significant changes in trend direction.
Enhanced visualizations with customizable thresholds and smoothing for improved usability.
Credits
Original script: "Buy Low Sell High Composite" by , 2017.
URL to the original script: Buy Low Sell High Composite.
This script is designed to build upon the strengths of the original while adding flexibility and new features to meet the needs of modern traders.
Volume Weighted TWAP (VW-TWAP)The Volume Weighted Time Weighted Average Price (VW-TWAP) is an indicator that combines the principles of price averaging with volume sensitivity. Unlike the traditional TWAP, which calculates a simple time-weighted average, VW-TWAP integrates volume into its computation, emphasizing price movements that occur during periods of higher trading activity. This makes it particularly effective for identifying realistic price levels influenced by significant market participation. It is computed by summing the volume-weighted prices over a specified period and dividing by the total volume, providing a more accurate reflection of the price participants value most.
The key benefits of VW-TWAP lie in its ability to guide both traders and investors with a data-driven perspective. By accounting for both time and volume, it highlights fair value zones where significant accumulation or distribution might occur. This can improve trade entries and exits by aligning decisions with zones of substantial market consensus. Furthermore, its adaptability to different timeframes enhances its utility in multi-timeframe analysis, making it suitable for intraday scalpers and long-term swing traders alike. The VW-TWAP's focus on volume sensitivity also minimizes noise from low-volume, erratic price movements, offering a clearer view of market dynamics.
Coinbase Premium HeatmapCoinbase Premium Heatmap visualizes spot bitcoin premium (or discount) on Coinbase, relative to other spot markets, visualized as a heatmap overlay.
OPTIMIZED FOR CLARITY
Coinbase Premium can whipsaw quickly, with dramatic state changes over relatively brief periods, unnecessarily complicating its use (for our purposes).
To mitigate whipsaws, the script (a) averages premium/discount on an hourly basis, and (b) introduces lightweight exponential smoothing, to further simplify/clarify state.
WHY IT MATTERS
Spot Coinbase premium is a strong proxy for bullish institutional sentiment and net inflows/accumulation by western financial institutions, ETF providers, and corporations (like MicroStrategy) adding bitcoin to their treasury.
In aggregate, this holder cohort drives trend & sentiment more than any other, so it's important to know their directional bias.
HOW IT'S CALCULATED
Premium / discount calculates the spread between Coinbase spot BTC price, and spot price on Binance + Bybit. Calculation is averaged hourly, with light exponential smoothing.
HOW WE USE THE SCRIPT
When assessing optimal moments to hedge exposure (or sell spot assets) near a presumed impending cycle top, awareness of institutional sentiment is a crucial variable. This script:
(a) Filters out unnecessarily early cycle exit signals (if Coinbase premium is still present)
(b) Confirms other metrics that indicate an impending cycle top (if the neutral to bearish institutional sentiment we'd expect to see is in effect), and
(c) Visualizes state changes (from bearish to bullish & vice versa), that often make for good swing entries & exits on lower timeframes.
Price Action Dynamics Oscillator (PADO)1 minute ago
Price Action Dynamics Oscillator (PADO)
Indicator Overview and Technical Deep Dive
Concept and Philosophy
The Price Action Dynamics Oscillator (PADO) is a sophisticated technical analysis tool designed to provide multi-dimensional insights into market behavior by decomposing price action into manipulation and distribution metrics. The indicator goes beyond traditional momentum or trend indicators by introducing a nuanced approach to understanding market microstructure.
Key Architectural Components
1. Timeframe and Depth Selection
Pivot Depth Options:
Short Term (Length: 12 periods)
Intermediate Term (Length: 20 periods)
Long Term (Length: 100 periods)
This flexible configuration allows traders to adapt the indicator's sensitivity to different market conditions and trading styles.
2. Core Calculation Methodology
Manipulation Metrics
Calculates manipulation differently for green (bullish) and red (bearish) candles
Normalized against Average True Range (ATR) for consistent comparison across different volatility environments
Green Candle Manipulation: (Open - Low) / ATR
Red Candle Manipulation: (High - Open) / ATR
Distribution Metrics
Measures the directional strength and potential momentum shift
Green Candle Distribution: (Close - Open)
Red Candle Distribution: (Open - Close)
3. Normalization and Smoothing
Uses Simple Moving Average (SMA) for smoothing
Dynamic length calculation based on price range distance
Ensures minimum SMA length of 2 to prevent calculation errors
Unique Features
Visualization Toggles
Traders can selectively display:
Manipulation data
Distribution data
Long-term reference lines
Valuation metrics
Strategy signals
Valuation Comparative Analysis
Compares current manipulation and distribution metrics to 1000-bar long-term averages
Color-coded visualization for quick interpretation
Blue: Manipulation above average
Purple: Manipulation below average
Orange: Distribution above average
Yellow: Distribution below average
Strategy Deployment
Generates a composite strategy signal by comparing manipulation and distribution valuations
Uses Exponential Moving Average (EMA) for smoother signal generation
Incorporates volatility bands for context-aware signal interpretation
Quadrant Analysis
Classifies market state into four quadrants based on manipulation and distribution valuations:
Q1: Low Manipulation, High Distribution
Q2: High Manipulation, High Distribution
Q3: Low Manipulation, Low Distribution
Q4: High Manipulation, Low Distribution
Each quadrant is color-coded to provide visual market state representation.
Warning Signals
Manipulation Warning: When strategy crosses below low volatility band
Distribution Warning: When strategy crosses above high volatility band
Visual Indicators
Bar coloration based on strategy momentum
Multiple color states representing different market dynamics
Recommended Use Cases
Intraday and swing trading
Multi-timeframe market analysis
Volatility and momentum assessment
Trend reversal and continuation identification
Potential Limitations
Complexity might require significant trader education
Performance can vary across different market conditions
Requires careful parameter optimization
Recommended Settings
Best used on liquid markets with clear price action
Ideal for:
Forex
Futures
Large-cap stocks
Cryptocurrency pairs
Customization and Optimization
Traders should:
Backtest across multiple assets
Adjust timeframe settings
Calibrate visualization toggles
Use in conjunction with other technical indicators
Licensing
Mozilla Public License 2.0
Open-source and modification-friendly
Conclusion
The PADO represents an advanced approach to market analysis, blending traditional technical analysis with innovative metrics for deeper market understanding.
PADO Quadrant Color Analysis: Deep Dive
Quadrant Color Scheme Breakdown
Quadrant 1: Lime Green Background (RGB: 0, 255, 21, 90)
Condition: val_manip < 1 AND val_distr > 1
Market Interpretation:
Low Manipulation Pressure
High Distribution Activity
Potential Scenario:
Smart money might be gradually distributing positions
Trading Implications:
Caution for current trend followers
Potential preparation for trend change
Increased probability of consolidation or reversal
Quadrant 2: Bright Blue Background (RGB: 0, 191, 255, 90)
Condition: val_manip > 1 AND val_distr > 1
Market Interpretation:
High Manipulation Pressure
High Distribution Activity
Potential Scenario:
Strong institutional involvement
Potential market transition phase
Significant volume and momentum
Trading Implications:
High volatility expected
Increased market uncertainty
Potential for sharp price movements
Requires careful risk management
Quadrant 3: Light Gray Background (RGB: 252, 252, 252, 90)
Condition: val_manip < 1 AND val_distr < 1
Market Interpretation:
Low Manipulation Pressure
Low Distribution Activity
Potential Scenario:
Market consolidation
Reduced institutional activity
Potential low-volatility period
Trading Implications:
Range-bound market
Reduced trading opportunities
Potential setup for future breakout
Ideal for mean reversion strategies
Quadrant 4: Light Yellow Background (Hex: #f6ff0019)
Condition: val_manip > 1 AND val_distr < 1
Market Interpretation:
High Manipulation Pressure
Low Distribution Activity
Potential Scenario:
Accumulation of positions
Trading Implications:
Increased probability of directional move soon
Color Psychology and Technical Significance
Color Selection Rationale
Lime Green (Q1): Represents potential growth and transition
Bright Blue (Q2): Signifies high energy and institutional activity
Light Gray (Q3): Indicates neutrality and consolidation
Transparent Green (Q4): Suggests emerging trend potential
Advanced Interpretation Guidelines
Color Transition Analysis
Observe how the quadrant colors change
Rapid color shifts might indicate:
Market regime changes
Shifts in institutional sentiment
Potential trend acceleration or reversal
Technical Implementation Notes
Calculation Snippet
pinescriptCopyq1 = (val_manip < 1) and (val_distr > 1)
q2 = (val_manip > 1) and (val_distr > 1)
q3 = (val_manip < 1) and (val_distr < 1)
q4 = (val_manip > 1) and (val_distr < 1)
bgcolor(q1 ? color.rgb(0, 255, 21, 90):
q2 ? color.rgb(0, 191, 255, 90):
q3 ? color.rgb(252, 252, 252, 90):
q4 ? #f6ff0019:na)
Alpha Channel (Transparency)
90 and 0x19 values ensure background color doesn't overwhelm chart
Allows underlying price action to remain visible
Subtle visual cue without significant chart obstruction
Practical Trading Recommendations
Never Trade Solely on Quadrant Colors
Use as a complementary analysis tool
Combine with other technical and fundamental indicators
Timeframe Considerations
Validate quadrant signals across multiple timeframes
Longer timeframes provide more reliable signals
Risk Management
Set appropriate stop-loss levels
Use position sizing strategies
Be prepared for false signals
Recommended Workflow
Identify current quadrant
Assess overall market context
Confirm with other indicators
Execute with proper risk management
VAMA - Volume Adjusted Moving Average [jpkxyz]VAMA is a moving average that adapts to volume, giving more weight to price movements backed by higher relative volume. This VAMA (Volume Adjusted Moving Average) indicator implementation emphasizes visual clarity. It is based on the VAMA script by @allanster
Dual VAMA lines (Fast/Slow) with dynamic coloring:
Single-color scheme switches between green (bullish) and red (bearish)
Color changes on crossovers rather than relative position
Configurable line widths (set to 1 for clean appearance)
Visual enhancements:
Optional fill between VAMA lines (50% transparency)
Crossover dots can be toggled
Fills and dots match the current trend color
Customization parameters:
Independent source inputs for Fast/Slow lines
Adjustable VI Factor (volume influence)
Sample size control
Strict/non-strict calculation toggle
The code maintains efficient computation while prioritizing visual feedback for trend changes. It's designed for clear signal identification without visual clutter.
Notable style choices:
Consistent color theming throughout all visual elements
Simplified color transitions (only at crossovers)
Subtle transparency for fill areas
Minimal dot size for crossover markers
VAMA (Volume Adjusted Moving Average) Technical Analysis:
Core Calculation:
1. Volume Influence (v2i):
v2i = volume / ((total_volume/total_periods) * volume_factor)
- total_volume: Sum of volume over sample period
- total_periods: Either full history (nvb=0) or specified sample size
- volume_factor: Controls sensitivity to volume deviation
2. Price Weighting:
weighted_price = source_price * v2i
3. Accumulation Process:
- Iterates through length*10 periods
- Accumulates weighted prices and volume influence values
- Continues until volume influence sum >= specified length or strict rule triggers
4. Final VAMA Value:
vama = (weighted_sum - (volume_sum - length) * last_price) / length
Parameters:
- SampleN: Historical reference length (0=full history)
- Length: Base period for calculation
- VI Factor: Volume influence multiplier (>0.01)
- Strict: Forces exact length period completion when true
- Source: Input price data
