Effective Volume (ADV) v3Effective Volume (ADV) v3: Enhanced Accumulation/Distribution Analysis Tool
This indicator is an updated version of the original script by cI8DH, now upgraded to Pine Script v5 with added functionality, including the Volume Multiple feature. The tool is designed for analyzing Accumulation/Distribution (A/D) volume, referred to here as "Effective Volume," which represents the volume impact in alignment with price direction, providing insights into bullish or bearish trends through volume.
Accumulation/Distribution Volume Analysis : The script calculates and visualizes Effective Volume (ADV), helping traders assess volume strength in relation to price action. By factoring in bullish or bearish alignment, Effective Volume highlights points where volume strongly supports price movements.
Volume Multiple Feature for Volume Multiplication : The Volume Multiple setting (default value 2) allows you to set a multiplier to identify bars where Effective Volume exceeds the previous bar’s volume by a specified factor. This feature aids in pinpointing significant shifts in volume intensity, often associated with potential trend changes.
Customizable Aggregation Types : Users can choose from three volume aggregation types:
Simple - Standard SMA (Simple Moving Average) for averaging Effective Volume
Smoothed - RMA (Recursive Moving Average) for a less volatile, smoother line
Cumulative - Accumulated Effective Volume for ongoing trend analysis
Volume Divisor : The “Divide Vol by” setting (default 1 million) scales down the Effective Volume value for easier readability. This allows Effective Volume data to be aligned with the scale of the price chart.
Visualization Elements
Effective Volume Columns : The Effective Volume bar plot changes color based on volume direction:
Green Bars : Bullish Effective Volume (volume aligns with price movement upwards)
Red Bars : Bearish Effective Volume (volume aligns with price movement downwards)
Moving Average Lines :
Volume Moving Average - A gray line representing the moving average of total volume.
A/D Moving Average - A blue line showing the moving average of Accumulation/Distribution (A/D) Effective Volume.
High ADV Indicator : A “^” symbol appears on bars where the Effective Volume meets or exceeds the Volume Multiple threshold, highlighting bars with significant volume increase.
How to Use
Analyze Accumulation/Distribution Trends : Use Effective Volume to observe if bullish or bearish volume aligns with price direction, offering insights into the strength and sustainability of trends.
Identify Volume Multipliers with Volume Multiple : Adjust Volume Multiple to track when Effective Volume has notably increased, signaling potential shifts or strengthening trends.
Adjust Volume Display : Use the volume divisor setting to scale Effective Volume for clarity, especially when viewing alongside price data on higher timeframes.
With customizable parameters, this script provides a flexible, enhanced perspective on Effective Volume for traders analyzing volume-based trends and reversals.
Accumulation
Accumulation Map [LuxAlgo]The Accumulation Map is a charting tool that tracks traded volume across all price levels within a specified period.
It highlights the relationship between an asset's price and traders' willingness to buy or sell, helping to identify accumulation zones.
These zones represent areas of significant trading activity and provide insights into potential support and resistance levels. The indicator displays these zones using a heatmap, offering a clear, visual representation of market sentiment and activity based on volume.
🔶 USAGE
The Accumulation Map shows the distribution of traded volume across different price levels over a specific period. The volume nodes are displayed as color gradients, each reflecting the accumulation level (trading activity) at that price range.
The heatmap visually represents accumulation areas on the chart with color gradients. This visualization helps traders easily spot areas of significant interest and potential support or resistance levels within the market.
Metric Display controls how accumulation metrics appear on the chart. Options include Level Value Ratio, Level Value Proportion, Combined View, or None.
Color Theme allows users to switch between different color themes.
🔶 SETTINGS
The script includes user-defined parameters to customize profiles. Each input in the indicator settings is provided with a tooltip explaining its usage.
🔹 Accumulation Map
Accumulation Map | Heatmap: Toggles the visibility of the Accumulation Profile | Heatmap.
Metric Display: Controls how accumulation metrics are displayed on the chart.
Color Theme: Switches between different color themes.
🔹 Style & Settings
High Accumulation Color and Threshold: Customize the color for zones with high accumulation, and set the percentage threshold for high accumulation areas (recommended 50%–99%).
Average Accumulation: Define the color for zones with average accumulation.
Low Accumulation: Customize the color for zones with low accumulation, with a threshold range of 10%–40%.
Number of Rows: Specify the number of rows the accumulation map will display.
Horizontal Offset: Controls the horizontal offset of the map relative to the most recent bar.
Profile Width (bars): Sets the profile width in bars.
Extend Calculation To The Right: Extends the calculation to the most recent bar
Anchor Points: Set the first and second anchor points for the map.
🔶 RELATED SCRIPTS
Money-Flow-Profile
Central Pivot Point Cross & Retrace Strategy // AlgoFyreThe Central Pivot Point Cross & Retrace Strategy uses pivot points for trend identification and trade entry. It combines accumulation/distribution indicators with pivot point levels to generate signals. The strategy incorporates dynamic position sizing based on a fixed risk amount and allows for both long and short positions with customizable stop-loss levels.
TABLE OF CONTENTS
🔶 ORIGINALITY
🔸Pivot Point-Based Trading
🔸Accumulation/Distribution
🔸Dynamic Position Sizing
🔸Customizable Risk Management
🔶 FUNCTIONALITY
🔸Indicators
🞘 Pivot Points
🞘 Accumulation/Distribution
🔸Conditions
🞘 Long Entry
🞘 Short Entry
🞘 Take Profit
🞘 Stop Loss
🔶 INSTRUCTIONS
🔸Adding the Strategy to the Chart
🔸Configuring the Strategy
🔸Backtesting and Practice
🔸Market Awareness
🔸Visual Customization
🔶 CONCLUSION
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🔶 ORIGINALITY The Central Pivot Point Cross & Retrace Strategy uniquely combines pivot point analysis with accumulation/distribution indicators to identify optimal entry and exit points. It employs dynamic position sizing based on a fixed risk amount, ensuring consistent risk management across trades. This approach allows traders to adapt to varying market conditions by adjusting position sizes according to predefined risk parameters, enhancing both flexibility and control in trading decisions. The strategy's integration of customizable stop-loss levels further refines its risk management capabilities.
🔸Pivot Point-Based Trading This strategy utilizes daily pivot points to identify key support and resistance levels, providing a framework for trend identification and trade entry. The central pivot point serves as the intraday point of balance between buyers and sellers, with the largest amount of trading volume assumed to take place in this area.
🔸Accumulation/Distribution The strategy incorporates the Accumulation/Distribution (A/D) line, an underrated volume-based indicator, to establish the main trend. The A/D line is used in conjunction with a trend based indicator like the 200-period Exponential Moving Average (EMA) to confirm trend direction and strength.
🔸Dynamic Position Sizing Position sizes are calculated dynamically based on a fixed risk amount, allowing traders to maintain consistent risk exposure across trades.
🔸Customizable Risk Management Traders can set flexible risk-reward ratios and adjust stop-loss and take-profit levels, tailoring the strategy to their risk tolerance and market conditions. The strategy recommends taking partial profits at S1 or R1 levels and moving the stop-loss to break-even for remaining positions.
🔶 FUNCTIONALITY The Central Pivot Point Cross & Retrace Strategy leverages pivot points and accumulation/distribution indicators to identify optimal trading opportunities. This strategy is designed to capitalize on price movements around key pivot levels by dynamically adjusting position sizes based on predefined risk parameters. It allows traders to manage risk effectively while taking advantage of both long and short positions.
🔸Indicators 🞘 Pivot Points: Calculates daily pivot points (PP, R1, R2, S1, S2) to identify key support and resistance levels. The central pivot point is crucial for determining market bias and entry points.
🞘 Accumulation/Distribution: Uses the A/D line and with a trend based indicator like the 200 EMA to determine market direction and trend strength. This combination helps eliminate noise and provides more reliable trend signals. We recommend using the Adaptive MAs (Hurst, CVaR, Fractal) // AlgoFyre , but any moving average could be used.
🔸Conditions 🞘 Long Entry: Initiates a long position when the price crosses above the central pivot point (PP), retraces back to it and the A/D line is above its 200 EMA, indicating an uptrend. A limit entry order is set at the PP for entering the long trade.
🞘 Short Entry: Initiates a short position when the price crosses below the central pivot point (PP), retraces back to it and the A/D line is below its 200 EMA, indicating a downtrend. A limit entry order is set at the PP for entering the short trade.
🞘 Take Profit: 50% of the position is closed as profit when R1 for Longs and S1 for Shorts is reached. The position is fully closed when R2 for Longs and S2 for Shorts is reached.
🞘 Stop Loss: Stop loss is set via strategy settings. When the first 50% take profit for both long and shorts is taken, stop loss for both will be moved to break-even/entry.
🔶 INSTRUCTIONS
The Central Pivot Point Cross & Retrace Strategy can be set up by adding it to your TradingView chart and configuring parameters such as the accumulation/distribution source, stop-loss percentage, and risk management settings. This strategy is designed to capitalize on price movements around key pivot levels by dynamically adjusting position sizes based on predefined risk parameters. Enhance the accuracy of signals by combining this strategy with additional indicators like trend-following or momentum-based tools. Adjust settings to better manage risk and optimize entry and exit points.
🔸Adding the Strategy to the Chart Go to your TradingView chart.
Click on the "Pine Editor" button at the bottom of the chart.
Copy and paste the strategy code into the Pine Editor.
Click "Add to Chart" to apply the strategy.
Add the technical indicator "Accumulation/Distribution" to the chart.
Add the trend indicator " Adaptive MAs (Hurst, CVaR, Fractal) // AlgoFyre " or any other MA to the chart and move it to the "Accumulation/Distribution" pane.
Set the source of your trend indicator to "Accumulation/Distribution".
🔸Configuring the Strategy Open the strategy settings by clicking on the gear icon next to its name on the chart.
Accumulation/Distribution Source: Select the source for the accumulation/distribution indicator.
Accumulation/Distribution EMA Source: Select the source for the trend indicator.
Stop Loss Percentage: Set the stop loss distance from the pivot point as a percentage.
Risk Amount: Define the fixed risk amount for position sizing.
Base Order Size: Set the base order size for position calculations.
Number of Positions: Specify the maximum number of positions allowed.
Time Frame: Adjust the time frame based on the currency pair or asset being traded (e.g., 15-minute for EUR/USD, 30-minute for GBP/USD).
🔸Backtesting and Practice Backtest the strategy on historical data to understand how it performs in various market environments.
Practice using the strategy on a demo account before implementing it in live trading.
Test different time frames and asset pairs to find the most suitable combinations.
🔸Market Awareness Keep an eye on market news and events that might cause extreme price movements. The strategy reacts to price data and might not account for news-driven events that can cause large deviations.
Remember that this strategy is not recommended for stocks due to the A/D line's inability to account for gaps in its calculation.
🔸Visual Customization Visualization Settings: Customize the display of entry price, take profit, and stop loss levels.
Color Settings: Switch to the AlgoFyre theme or set custom colors for bullish, bearish, and neutral states.
Table Settings: Enable or disable the information table and adjust its position.
🔶 CONCLUSION
The Central Pivot Point Cross & Retrace Strategy provides a robust framework for capitalizing on price movements around key pivot levels by combining pivot point analysis with accumulation/distribution indicators. This strategy leverages pivot point crossovers to identify entry points and utilizes the A/D line crossover with its 200 EMA for trend confirmation, ensuring trades align with prevailing market conditions. By incorporating dynamic position sizing based on a fixed risk amount, traders can effectively manage risk and adapt to varying market conditions. The strategy's focus on trading around the central pivot point and its customizable stop-loss and take-profit levels further enhance its risk management capabilities, making it a versatile tool for both trending and ranging markets. With its strategic blend of technical indicators and risk management, the Central Pivot Point Cross & Retrace Strategy offers traders a comprehensive approach to optimizing trade execution and maximizing potential returns across various currency pairs and commodities.
CRT Trades (turtle soup, A-M-D ranges with inside bars)CRT means Candle Range Theory. Every single candle is a range, on every single timeframe. Ranges may be either manipulated - turtle souped or broken - engulfed - closed above/below and retested.
CRT is usually presented as a 3 candle model. However it may consist of more than 3 candles due to inside bars. Inside bar is the candle where high is not higher then previous candle high and low is not lower then previous candle low.
First candle represents accumulation (may consist of more candles - inside bars), second candle represents manipulation (turtle soup) and third candle represents distribution. The abbreviation for that is A-M-D.
In accumulation the range with specific high and low is created. In manipulation (turtle soup) the high or low of the range is manipulated - liquidity taken and price should usually reverse back to the range. In distribution price is reversing back to the opposite side of the range. On higher timeframe it looks like manipulation candle wick is higher/lower than previous range high/low (may consist of 1 or more inside bar candles) but the body must not close above/below previous range high/low. Otherwise it is not manipulation (turtle soup) most likely and price should continue in direction of the candle close. Distribution candle should touch opposite side of range and it is mostly heavy and fast candle.
CRT model can be found on higher timeframe (e.g. 4h) and entries can be found on lower timeframe (e.g. 15m). You always use only lower timeframe on your chart because CRT model on the higher timeframe is shown on the lower one and also you can plan entries on the lower timeframe. You are able to change CRT model higher timeframe in the indicator settings.
There are two types of entries:
simple - wait for manipulation candle to close on higher timeframe (HTF) and then enter on lower timeframe (LTF) above open of the distribution candle on HTF if it is short or on LTF below open of the distribution candle on HTF if it is long. These entries can be done by market order.
advanced - wait for the break of previous range high/low and enter by limit order when price reverses back to the range and retraces to the order block or fair value gap created by the breaker candle.
Stop loss can be placed above/below of the top/bottom created by manipulation candle. First take profit should be placed in 1/2 of the accumulation range and second take profit should be placed at the opposite range of accumulation range.
It is possible to filter only particular accumulation (range) and manipulation (turtle soup) candles depending also on timezone set in the settings. For example on 4h CRT model if you fill input "indices" for section "range" like 1,2 and input "indices" for section "turtle soup" like 3,4 then you are awaiting the range to form during asia session and manipulation during london session if the timezone is somewhere around "UTC+2".
Dotted lines represent turtle soup of previous range and solid lines represent engulfing candle of the breaker candle on lower timeframe. When the engulfing is closed you can look for entries either by market order after closing or by limit order when the price retraces to order block (created by breaker candle) or fair value gap (created by engulfing).
Recommendations for combining lower (entries) and higher (crt model) timeframes:
1D CRT model => 1h entries,
4h CRT model => 15m entries,
1h CRT model => 5m entries,
15m CRT model => 1m entries.
PulsarStruct Minor PremiumPulsarStruct Minor Premium
Introduction:
PulsarStruct Minor Premium is a powerful market analysis indicator designed for traders focused on lower timeframes and minor market structures. This tool is specifically built to track micro-structures and identify breakouts of key accumulation and distribution zones, helping traders make quick, informed decisions.
Unlike traditional multi-timeframe (HTF or MTF) indicators, PulsarStruct Minor Premium concentrates on local movements within minor structures, giving you an edge in tracking the immediate dynamics of the market.
This indicator is part of a package that includes Orion, Phoenix, and OptiStruct™ Premium from AlbaTherium, making it an ideal complement to these tools. By combining PulsarStruct Minor Premium with the multi-timeframe insights of these other indicators, you can optimize both local and broader market analysis.
Key Features:
Minor structure analysis: Track small market movements and their impacts on critical zones.
Breakout detection: Identify key breakouts from accumulation and distribution levels to anticipate future market movements.
Optimized entry signals: Focus on micro-breakouts and reversals for precise entry opportunities.
Analysis without volume dependency: The indicator operates based purely on price action, independent of volume.
How It Works:
PulsarStruct Minor Premium detects accumulation and distribution zones within minor market structures. By identifying these critical areas, the indicator pinpoints potential breakout levels, signaling traders when a significant shift in the market structure is occurring.
The tool’s logic is built to focus on micro-breakouts, which are often the first signals of trend continuation or reversal. It uses an algorithm that tracks price action across local structures and generates signals based on price movements relative to these key levels.
Practical Examples:
Accumulation and Distribution within a Range:
Imagine a consolidation period within a minor structure where accumulation takes place around a key support level. PulsarStruct Minor Premium marks this zone of interest. As the price starts to break out from the accumulation zone, the indicator signals a potential long entry in alignment with the trend.
Accumulation example: A 1 minute chart shows accumulation around a minor support level, followed by a bullish breakout. The indicator confirms the breakout, signaling a long entry opportunity.
Distribution example: Similarly, in a bearish market, a distribution phase around a key resistance level is followed by a breakout to the downside, confirming a short entry opportunity.
Example:
Accumulation and Distribution Example
Pro-Trend Entry Setup:
When trading with the trend, PulsarStruct Minor Premium helps identify high-probability entry points by detecting breakouts from accumulation or distribution levels. The indicator aligns these breakouts with the prevailing trend, offering precise entry signals.
Pro-trend Long Entry example: In an uptrend, the price pulls back into an accumulation zone, followed by a breakout above a minor high. The indicator detects the breakout, signaling a long entry aligned with the trend.
Pro-trend Short Entry example: In a downtrend, a small distribution phase forms at resistance, and a breakout below a minor support is detected, offering a short entry in line with the trend.
Example:
Pro-Trend Example
Minor Structure Breakouts:
PulsarStruct Minor Premium detects breakouts of minor structures, allowing traders to enter trades based on local setups. The indicator tracks price movements relative to these critical levels and provides signals for both long and short trades.
Breakout example: A local support level breaks under selling pressure, signaling a bearish reversal. The indicator alerts traders before the broader market reacts.
Example:
Breakout Example
Conclusion:
PulsarStruct Minor Premium is an essential tool for traders who focus on lower timeframes and minor structures. By concentrating on accumulation/distribution phases and key breakout levels, it allows for faster, more precise decision-making. For users of Orion, Phoenix, or OptiStruct™ Premium , this indicator provides a perfect complement, adding a layer of structured analysis that integrates seamlessly with multi-timeframe strategies.
Whether you’re looking for rapid entries or confirmations in micro-breakouts, PulsarStruct Minor Premium will help you stay in sync with market movements. Take advantage of this innovative tool and optimize your trading performance.
Inverse Fisher Oscillator [BigBeluga]The Inverse Fisher Oscillator is a powerful tool for identifying market trends and potential reversal points by applying the Inverse Fisher Transform to normalized price data. This indicator plots multiple smoothed oscillators, each color-coded to signify their relation to dynamic volatility bands. Additionally, the Butterworth filter is incorporated to further refine trend signals. The Inverse Fisher Oscillator offers traders a visually appealing and insightful approach to trend analysis and market direction detection.
🔵 KEY FEATURES
● Inverse Fisher Oscillator Visualization
Multiple Oscillators : The indicator calculates and plots six different Inverse Fisher Oscillators, each smoothed at increasing levels to provide a layered view of price momentum.
Color-Coded Signals : The oscillator lines are color-coded based on their relation to the volatility bands—green for bullish momentum, red for bearish momentum, and yellow for neutral movements.
● Butterworth Filter Integration
Filtering : The Butterworth filter is applied to mid-line Bands to reduce noise, allowing for clearer trend detection.
// Calculate constants for the Butterworth filter
float piPrd = math.pi / mid_len
float g = math.sqrt(2)
float a1 = math.exp(-g * piPrd)
float b1 = 2 * a1 * math.cos(g * piPrd)
float coef2 = b1
float coef3 = -a1 * a1
float coef1 = (1 - b1 + a1 * a1) / 4
// Source data for the Butterworth filter
float source = ifish // The first inverse Fisher Oscillator is used as the source
// Previous source and butter filter values
var float butter = na // Initialize the 'butter' variable
// Handle null values using the nz function
float prevB1 = nz(butter , source) // Use 'source' as a fallback if butter is null
float prevB2 = nz(butter , source) // Use 'source' as a fallback if butter is null
// Calculate the Butterworth filter value
butter := coef1 * (source + (2 * source ) + source ) + (coef2 * prevB1) + (coef3 * prevB2)
● Numbered Signal Marks
Signal Markers : The indicator plots numbered signals on the chart when an oscillator crosses above the upper volatility band or below the lower volatility band.
Numbered Lines : Numbers correspond to the different oscillators (1-6), helping traders easily identify which smoothing level generated the signal.
Visual Cues : The signals are color-coded—green for bullish crossovers and red for bearish crossunders—providing clear visual cues for trend accumulation phases.
Mid-Line Option : Traders can choose between plotting the Butterworth filter as a dynamic mid-line or simply displaying it as part of the bands.
Volatility Bands : Dynamic volatility bands provide additional context for interpreting the strength and sustainability of trends.
● Dashboard Display
Real-Time Market Trend Overview : The dashboard in the bottom-right corner of the chart displays the market trend based on the Inverse Fisher Oscillator for six different smoothing levels, providing a clear visual summary of market direction.
Direction Symbols : Directional symbols (up, down, or neutral) are displayed in the dashboard, color-coded to represent bullish, bearish, or neutral momentum.
Current Price Display : The dashboard also shows the current price and highlights whether it is above or below the opening price.
🔵 HOW TO USE
● Identifying Trend Reversals
Bullish Reversals : When the oscillators short period lines start to cross above the upper volatility band (green), it indicates potential bullish momentum.
Bearish Reversals : When the oscillator crosses below the lower volatility band (red), it signals potential bearish momentum.
Neutral Signals : When the oscillator remains within the bands (yellow), it suggests that the market is in a neutral or consolidating state. Traders may choose to wait for a clearer trend signal.
● Using the Dashboard for Trend Overview
Market Trend Summary : The dashboard provides a quick overview of market direction across six different smoothing levels. Green arrows indicate bullish momentum, red arrows indicate bearish momentum, and wavy lines suggest neutrality.
Price Context : The dashboard also displays the current price, helping traders quickly assess whether the price is moving in the expected direction relative to their trend analysis.
● Volatility Band Interpretation
Volatility-Based Signals : Pay attention to how the oscillators interact with the volatility bands. Strong trends will often result in oscillators staying above or below the bands, while weaker trends or consolidations will see oscillators hovering within the bands.
🔵 CUSTOMIZATION
Length and Smoothing : Adjust the length and smoothing parameters to fit different market conditions and timeframes.
Bands Multiplier : Customize the multiplier for the volatility bands to make them more or less sensitive to price changes.
Mid-Line Type : Choose whether to display the Butterworth filter as a mid-line or incorporate it into the volatility bands.
Signal Markers : Toggle on or off the number markers for signal crossovers, making it easier to identify key entry and exit points.
🔵 CONCLUSION
The Inverse Fisher Oscillator combines the power of the Inverse Fisher Transform and the Butterworth filter to provide a sophisticated approach to trend and reversal detection. By leveraging volatility-based analysis and visually intuitive signals, this indicator helps traders spot potential entry and exit points with greater clarity. The customizable dashboard display adds further value, offering a real-time summary of market conditions to enhance decision-making. Use this tool in conjunction with other technical analysis methods to develop a well-rounded trading strategy.
CRT IndicatorCandle Range Trading (CRT) Indicator
The CRT Indicator identifies potential trading opportunities by analyzing specific candlestick patterns. This script is designed to detect both bullish and bearish CRT patterns and provides visual cues directly on your chart.
Features:
Pattern Detection:
Analyzes two consecutive candles to identify the CRT pattern.
Detects both bullish and bearish setups based on the relative positions of the candles.
How It Works:
Bearish CRT Pattern:
The script identifies a bearish CRT when:
The first candle is bullish (closing price is higher than the opening price).
The second candle is bearish (closing price is lower than the opening price).
The second candle’s high exceeds the high of the first candle.
The closing price of the second candle falls within the range of the first candle.
Bullish CRT Pattern:
The script identifies a bullish CRT when:
The first candle is bearish (closing price is lower than the opening price).
The second candle is bullish (closing price is higher than the opening price).
The second candle’s low is below the low of the first candle.
The closing price of the second candle falls within the range of the first candle.
Visual Signals:
A red triangle is plotted above the candles for a bearish CRT pattern.
A green triangle is plotted below the candles for a bullish CRT pattern.
How to Use:
Monitor the chart for the appearance of red and green triangles.
Green triangles suggest potential bullish movements.
Red triangles suggest potential bearish movements.
Use these signals as part of a comprehensive trading strategy and combine with other technical indicators for best results.
Settings:
This indicator operates with default settings for detecting CRT patterns and does not include customizable parameters.
Limitations:
The CRT Indicator is based on two consecutive candles and does not account for broader market trends or other indicators.
Be aware that false signals may occur in volatile or choppy market conditions.
The indicator does not provide entry points, profit targets, or stop loss levels, which should be managed based on individual risk tolerance and strategy.
Note: The CRT Indicator is for informational purposes only and should be used in conjunction with other forms of analysis and proper risk management. Always test any strategy thoroughly before applying it to live trading.
Market Cycle Phases IndicatorOverview
The Market Cycle Phases Indicator is a powerful tool designed to help traders identify and visualize the different phases of market cycles. By distinguishing between Accumulation, Uptrend, Distribution, and Downtrend phases, this indicator provides a clear and color-coded representation of market conditions, aiding in better decision-making and strategy development. It is especially useful for long-term investors to observe and understand market cycles over extended periods. The phases are color-coded for easy identification: Green for Accumulation, Blue for Uptrend, Yellow for Distribution, and Red for Downtrend.
Key Features
Identifies four key market phases: Accumulation, Uptrend, Distribution, and Downtrend
Uses a combination of moving averages and volatility measures
Color-coded background for easy visualization of market phases
Adjustable parameters for moving average length, volatility length, and volatility threshold
Plots the moving average and Average True Range (ATR) for reference
Suitable for both short-term trading and long-term investing
Concepts Underlying the Calculations
The calculations behind the Market Cycle Phases Indicator are straightforward, combining the principles of moving averages and volatility measures:
Moving Average (MA): A simple moving average is used to determine the overall trend direction.
Average True Range (ATR): This measures market volatility over a specified period.
Volatility Threshold: A multiplier is applied to the ATR to distinguish between high and low volatility conditions.
How It Works
The indicator first calculates a moving average (MA) of the closing prices and the Average True Range (ATR) to measure market volatility. Based on the position of the price relative to the MA and the current volatility level, the indicator determines the current market phase:
Accumulation Phase: Price is below the MA, and volatility is low (Green background). This phase often indicates a period of consolidation and potential buying interest before an uptrend.
Uptrend Phase: Price is above the MA, and volatility is high (Blue background). This phase represents a strong upward movement in price, often driven by increased buying activity.
Distribution Phase: Price is above the MA, and volatility is low (Yellow background). This phase suggests a period of consolidation at the top of an uptrend, where selling interest may start to increase.
Downtrend Phase: Price is below the MA, and volatility is high (Red background). This phase indicates a strong downward movement in price, often driven by increased selling activity.
How Traders Can Use It
Traders can use the Market Cycle Phases Indicator to:
Identify potential entry and exit points based on market phase transitions.
Confirm trends and avoid false signals by considering both trend direction and volatility.
Develop and refine trading strategies tailored to specific market conditions.
Enhance risk management by recognizing periods of high and low volatility.
Observe long-term market cycles to make informed investment decisions.
Example Usage Instructions
Add the Market Cycle Phases Indicator to your chart.
Adjust the input parameters as needed:
Base Length: Default is 50.
Volatility Length: Default is 14.
Volatility Threshold: Default is 1.5.
Observe the color-coded background to identify the current market phase
Use the identified phases to inform your trading decisions:
Consider buying during the Accumulation or Uptrend phases.
Consider selling or shorting during the Distribution or Downtrend phases.
Combine with other indicators and analysis techniques for comprehensive market insights.
By incorporating the Market Cycle Phases Indicator into your trading toolkit, you can gain a clearer understanding of market dynamics and enhance your ability to navigate different market conditions, making it a valuable asset for long-term investing.
ICT Power Of Three | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Power Of Three Indicator! This indicator is built around the ICT's "Power Of Three" strategy. This strategy makes use of these 3 key smart money concepts : Accumulation, Manipulation and Distribution. Each step is explained in detail within this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Power Of Three Indicator :
Implementation of ICT's Power Of Three Strategy
Different Algorithm Modes
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The "Power Of Three" comes from these three keywords "Accumulation, Manipulation and Distribution". Here is a brief explanation of each keyword :
Accumulation -> Accumulation phase is when the smart money accumulate their positions in a fixed range. This phase indicates price stability, generally meaning that the price constantly switches between up & down trend between a low and a high pivot point. When the indicator detects an accumulation zone, the Power Of Three strategy begins.
Manipulation -> When the smart money needs to increase their position sizes, they need retail traders' positions for liquidity. So, they manipulate the market into the opposite direction of their intended direction. This will result in retail traders opening positions the way that the smart money intended them to do, creating liquidity. After this step, the real move that the smart money intended begins.
Distribution -> This is when the real intention of the smart money comes into action. With the new liquidity thanks to the manipulation phase, the smart money add their positions towards the opposite direction of the retail mindset. The purpose of this indicator is to detect the accumulation and manipulation phases, and help the trader move towards the same direction as the smart money for their trades.
Detection Methods Of The Indicator :
Accumulation -> The indicator detects accumulation zones as explained step-by-step :
1. Draw two lines from the lowest point and the highest point of the latest X bars.
2. If the (high line - low line) is lower than Average True Range (ATR) * accumulationConstant
3. After the condition is validated, an accumulation zone is detected. The accumulation zone will be invalidated and manipulation phase will begin when the range is broken.
Manipulation -> If the accumulation range is broken, check if the current bar closes / wicks above the (high line + ATR * manipulationConstant) or below the (low line - ATR * manipulationConstant). If the condition is met, the indicator detects a manipulation zone.
Distribution -> The purpose of this indicator is to try to foresee the distribution zone, so instead of a detection, after the manipulation zone is detected the indicator automatically create a "shadow" distribution zone towards the opposite direction of the freshly detected manipulation zone. This shadow distribution zone comes with a take-profit and stop-loss layout, customizable by the trader in the settings.
The X bars, accumulationConstant and manipulationConstant are subject to change with the "Algorithm Mode" setting. Read the "Settings" section for more information.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suite for the ICT's Power Of Three concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Algorithm Mode -> The indicator offers 3 different detection algorithm modes according to your needs. Here is the explanation of each mode.
a) Small Manipulation
This mode has the default bar length for the accumulation detection, but a lower manipulation constant, meaning that slighter imbalances in the price action can be detected as manipulation. This setting can be useful on tickers that have lower liquidity, thus can be manipulated easier.
b) Big Manipulation
This mode has the default bar length for the accumulation detection, but a higher manipulation constant, meaning that heavier imbalances on the price action are required in order to detect manipulation zones. This setting can be useful on tickers that have higher liquidity, thus can be manipulated harder.
c) Short Accumulation
This mode has a ~70% lower bar length requirement for accumulation zone detection, and the default manipulation constant. This setting can be useful on tickers that are highly volatile and do not enter accumulation phases too often.
Breakout Method -> If "Close" is selected, bar close price will be taken into calculation when Accumulation & Manipulation zone invalidation. If "Wick" is selected, a wick will be enough to validate the corresponding zone.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
3. Visuals
Show Zones -> Enables / Disables rendering of Accumulation (yellow) and Manipulation (red) zones.
Candle Range Detector [UAlgo]The "Candle Range Detector " is a Pine Script™ indicator designed to identify trading opportunities based on the concept of price consolidation and breakout. It analyzes the price range of a specified number of previous candles and detects when subsequent candles stay within that range (consolidation). The indicator then highlights potential breakouts above or below the range and provides calculated Take Profit (TP) and Stop Loss (SL) levels based on your chosen method (percentage or Average True Range - ATR).
🔶 Key Features
Configurable Range: Define the minimum number of candles required to establish a valid price range.
Breakout Detection: Identify potential breakouts above or below the established range based on your selection (close price or wick).
Take Profit & Stop Loss Levels: The indicator calculates TP and SL levels based on your chosen method (percentage or ATR) and user-defined multipliers. The calculated TP and SL levels are visualized as horizontal lines with corresponding labels ("Take Profit" and "Stop Loss").
Optional Count Display: You can choose to display the number of candles currently within the range.
🔶 Disclaimer:
Not Financial Advice: This indicator is intended for educational and informational purposes only. It does not constitute financial advice or recommendations to buy, sell, or hold any financial instruments.
Use at Own Risk: Trading involves substantial risk of loss and is not suitable for all investors. Users of this indicator should exercise caution and conduct their own research and analysis before making any trading decisions.
Performance Not Guaranteed: Past performance is not indicative of future results. While the indicator aims to assist traders in analyzing market trends, there is no guarantee of accuracy or success in trading operations.
🔷 Related Scripts
Range Finder
Global Net Liquidity (TG fork)Worldwide net liquidity, with trend coloring.
Global Net Liquidity attempts to represent worldwide net liquidity, and is defined as: Fed + Japan + China + UK + ECB - RRP - TGA , Where the first five components are central bank assets.
On TradingView, the indicator can be reproduced with the following equations: Global Net Liquidity = FRED:WALCL + FRED:JPNASSETS * FX_IDC:JPYUSD + CNCBBS * FX_IDC:CNYUSD + GBCBBS * FX:GBPUSD + ECBASSETSW * FX:EURUSD + RRPONTSYD + WTREGEN
However, this indicator adds a moving average cloud, and margin coloring, which eases historical trend assessment at a glance.
This indicator can be seen as an alternative representation of the accumulation/distribution indicator (and hence the same terms can be used in this description).
The Moving Average Cloud is simply the filling between the moving average (by default an EMA) and the current value. This feature was inspired by D7R ACC/DIST closed-source indicator, kudos to D7R for making such neat visual indicators.
Usage instructions:
Blue is more likely a phase of accumulation because the current value is above its historical price as defined by the moving average,
red is when this is more likely a phase of distribution.
Yellow is when the difference is below the margin, so we consider it is insignificant and that the trend is undecided. This can be disabled by setting the margin to 0.
While the color indicates if it's more likely an accumulation (blue) or distribution (red) phase or undecided (yellow), the cloud's vertical size allows to assess the strength of this tendency and the horizontal size the momentum, so that the bigger the cloud, the stronger the accumulation (if cloud is blue) or distribution (if cloud is red).
Why is that so? This is because the cloud represents the difference between the current tendency and the moving averaged past one, so a bigger cloud represents a bigger departure from recently observed tendencies. In practice, when there is accumulation, a pump in price can be expected soon, or if it already happened then it means it is indeed supported by volume, whereas if distribution, either a dump is to be expected soon, or if it already happened it means it's supported by volume.
Or maybe not necessarily a dump, but if there is a move upward in price, but the indicator indicates a strong distribution, then it means that the price movement is not supported and may not be sustainable (reversal may happen at anytime), whereas if price is going upward AND there is an accumulation (blue coloring) then it is more sustainable. This can be used to adapt strategies accordingly (risk on/risk off depending on whether there is concordance of both price and accumulation/distribution).
This indicator also includes sentiment signals that can be used to trigger alarms.
This indicator is a remix of Dharmatech's, who authored the first this Global Net Liquidity equation, kudos to them! Please show them some love if you like this indicator!
TTP Big Whale ExplorerThe Big Whale Explorer is an indicator that looks into the ratio of large wallets deposits vs withdrawals.
Whales tend to sale their holding when they transfer their holdings into exchanges and they tend to hold when they withdraw.
In this overlay indicator you'll be able to see in an oscillator format the moves of large wallets.
The moves above 1.5 turn into red symbolising that they are starting to distribute. This can eventually have an impact in the price by causing anything from a mild pullback to a considerable crash depending on how much is being actually sold into the market.
Moves below 0.5 mean that the large whales are heavily accumulating and withdrawing. During these periods price could still pullback or even crash but eventually the accumulation can take prices to new highs.
Instructions:
1) Load INDEX:BTCUSD or BNC:BLX to get the most historic data as possible
2) use the daily timeframe
3) load the indicator into the chart
itradesize /\ Model x RTH Gap
I’m happy to announce my model and sharing it with you as an indicator.
About the model
The model is based on a range from 18:00 until 1:30. If you are keen you probably know that it's something that based on a bit of Daye's Theory. As Daily Q4 is from 18:00 until 0:00 and I've added a 90's Q1 to it as well that's why it ended up at 1:30.
It's an accumulation range and where we are looking for some opportunities above or below it when the algo is trying to fake the traders as the high and the low of the range are both important zones for liquidity pools. This model works on almost every pair but I've been mostly focusing on indices, especially on ES, NQ, and EUR/USD.
Do not trade before 1:30 AM and do not trade this model after 6:00 AM. So any tradable setup must be valid until 6:00 AM.
*All the mentioned times are based on America/NewYork timezone.
A simple sell setup
∆ If it takes the high of the model, then look for short opportunities.
∆ The best reliable scenario is when a high is taken while retracing back to an HTF PD Array so it will end up in a failure swing, Judas swing, you name it.
∆ When a high is taken you should wait for a market structure shift then it should give a nice displacement where it should retrace.
∆ The imbalance after the shift can be on every timeframe, based on your trade idea.
∆ If there are more imbalances, your decision on which to go with (as if there is a BPR, Breaker, OB, etc.. - can change the view of an FVG).
The same story goes for a buy setup.
∆ The first target is always the EQ of the model's range.
∆ The second target could be liquidity inside the EQ and the other side of the model (optional).
∆ The third target is the other side of the model.
∆ You can always leave a runner there if you eyeing some levels outside the model.
Additional information
∆ You can use silver bullet range as an extra confirmation when you looking for the actual displacement.
∆ An RTH range is also added to the indicator (starts drawing at 9:30 when the futures market opens) as it can be used to trade in the NY session and it is a must-have thing when trading indices.
∆ The colors of every label are switched automatically based on your chart's coloring.
NormInvTargetSeekerNormInvTargetSeeker
The NormInvTargetSeeker is a trading tool designed to aid traders in identifying and capitalizing on Distribution and Accumulation zones, highlighting specific price levels that could serve as targets for future price movements. Although the indicator itself is not multi-timeframe, an effective trading strategy might involve signal validation across multiple timeframes.
🔶 USAGE
The indicator identifies Distribution and Accumulation zones, providing potential targets for future price moves.
Traders are encouraged to use these zones as profit targets or potential reversal points.
Confluence Zones
These zones are identified as regions where various factors or levels converge, signaling an increased probability of price reaction.
They can be used to reinforce signals or identify levels where price might encounter significant resistance or support.
🔹 Trading Strategy
First, identify a signal on your primary trading timeframe.
Manually check higher timeframes to ensure the signal aligns with them.
Use the identified zones, whether Distribution or Accumulation, as target zones for your trades.
🔶 Order Blocks
The NormInvTargetSeeker identifies "Order Blocks" by examining a specified number of consecutive candles with a specific condition: the current candle must completely engulf the previous candle. This means that both the high and low of the current candle are higher and lower, respectively, than the high and low of the previous candle, signifying a dominant move in the direction of the current candle.
🔹 Trading Strategy
Target Confirmation: Order Blocks can serve to confirm target points, providing additional validation for identified levels.
Market Insight: They offer crucial insights into whether "big hands" or institutional players are positioned as buyers or sellers in the market.
Traders can use Order Blocks as a means to validate targets or key price levels, observing if the price reacts significantly upon reaching these blocks.
They can also provide insights into the general market direction or underlying market strength by identifying where the major market players are placing their orders.
🔶 SETTINGS
The indicator allows users to adjust various parameters to customize the display and logic of the tool to fit their needs.
🔹 Display Settings
Users can customize the colors and displays of various zones and labels to match their preferences.
🔶 LICENSE AND CREDITS
This work is licensed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). More information here: creativecommons.org
This indicator utilizes a TypeScript implementation of the Normal Inverse function as a reference, which can be found here : github.com
Special thanks to the authors of the referenced code for providing a foundation upon which this indicator was built.
🔶 UPDATES
Current Version: 1.0.0
For future updates, please check the comment section.
🔶 CONTACT
For any questions or suggestions, please feel free to contact @RickSimpson on TradingView.
Contraction Box & Doji LinesContraction & Doji Lines indicator is designed to identify and visualize potential support and resistance levels on a price chart. It does this by detecting doji candlestick patterns and drawing horizontal lines from the middle of the doji bodies to the right. Additionally, it also highlights price contraction zones with colored boxes.
The indicator first identifies doji candlestick patterns that it suggests indecision in the market, a horizontal line and these horizontal lines can act as potential support or resistance levels. Traders can observe price reactions around these lines. If the price approaches a line and bounces off it, it may indicate a significant level in the market.
In addition to doji lines, this indicator also highlights price contraction zones. When a contraction zone is detected, a colored box is drawn to highlight this zone. The box extends from the fifth bar ago (left side) to the current bar (right side), with the highest high and lowest low of the identified zone. The color and width of this box can be customized using the "Box Line Border Color," "Box Background Color," and "Box Width" parameters.
A possible strategy could be can use the doji lines as potential support and resistance levels to make trading decisions. For example, if the price breaks above a doji line and holds, it may indicate a bullish signal.
The colored boxes highlight areas of price contraction, which often precede significant price movements. Traders can use these zones to anticipate potential breakouts or breakdowns.
For example, you might enter a long (buy) position if it anticipate a breakout from a contraction zone with a target price set above the breakout level. Conversely, you might enter a short (sell) position if they anticipate a breakdown from a contraction zone with a target price set below the breakdown level.
PhantomFlow AccumulationDetectorThe PhantomFlow AccumulationDetector indicator analyzes the volume profile and displays potential accumulation based on the selected timeframe in the settings. This indicator can be used both as zones for trend following and for identifying reversals, as shown in the examples on the chart. The logic behind the formation of the accumulation zone is based on the fact that the POC (Point of Control) of the current zone is within the Volume Area range of the previous period.
Optimal settings for the working timeframe should be chosen visually, and the size of the zones should not be too large or too small. Additionally, it's advisable not to consider overly wide zones during increased volatility.
Consecutive zones within the same range often indicate a potential reversal.
We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
Wyckoff Phases OscillatorThe "Wyckoff Phases Oscillator" is a script designed for the TradingView platform. It's an indicator that provides traders with an oscillator-based visual representation of the Wyckoff Market Cycle. The oscillator doesn't overlay the price chart but instead appears in a separate panel beneath it.
How it works:
The script operates based on two input parameters: length and timeFrame. The length parameter, set by default to 21, determines the period used for various calculations within the script. On the other hand, timeFrame, set by default to "1", specifies the timeframe for which the script will gather and analyze data.
The script requests security information such as closing prices (higherClose), volume (higherVolume), highest prices (higherHigh), and lowest prices (higherLow) from the ticker symbol (syminfo.tickerid) within the defined timeframe.
Two exponential moving averages (ema1 and ema2) are calculated based on the closing prices, with lengths of 5 and 9 respectively.
A Rate of Change (ROC) is calculated based on the closing prices and the defined length.
An average volume (avgVolume) is calculated using a simple moving average (SMA) based on the volume and the defined length.
The script defines conditions for institutional buying and selling.
Institutional buying is determined when the closing price is greater than the lowest price and the volume is greater than the average volume.
Institutional selling is determined when the closing price is less than the highest price and the volume is greater than the average volume.
The script also defines conditions for the four phases of the Wyckoff Market Cycle: Accumulation, Markup, Distribution, and Markdown. Each phase has specific conditions based on the closing prices, EMA values, ROC, and institutional buying or selling conditions.
The script then assigns oscillator values based on the Wyckoff phase:
Accumulation is assigned a value of 1
Markup is assigned a value of 2
Distribution is assigned a value of 3
Markdown is assigned a value of 4
These oscillator values are plotted as colored circles, with different colors representing different phases. The color values are specified in RGB format.
Finally, the script plots horizontal lines as references for each of the four phases using the hline function. These lines are labeled and color-coded to match the corresponding oscillator circles. The lines have a linewidth of 1 and are solid in style.
If the oscillator moves from level 1 (Accumulation) to level 2 (Markup), this could indicate a potential bullish trend, as the market moves from a phase of accumulation to a phase of increasing prices.
Conversely, if the oscillator moves from level 3 (Distribution) to level 4 (Markdown), this could signal a potential bearish trend, signaling that the market has moved from a phase of distribution to a phase of declining prices.
While the Wyckoff Phases Oscillator can provide valuable insights on its own, it can also be used in conjunction with other technical analysis tools and indicators. For example, you might use it alongside a volume indicator to confirm signals, or with support and resistance levels to identify potential entry and exit points.
Ultimate Volume Custom ScreenerThis indicator will allow you to make your custom volume TradingView screener without coding. Add it to the chart, and select up to 40 symbols and up to five indicators. The screener will do the rest for you. The indicator will form a lovely table with all values and highlighted signals. It allows also to filter symbols based on the values of indicators and sends results as an alert.
The screener is highly customizable, and you can choose its position on the chart, sorting, order of the columns, colors for the tables, and all signals separately. You can easily change parameters for all supported indicators.
Supported indicators
Currently, there are 15 different custom indicators available. Current list of indicators:
Accumulation/Distribution (Acm/Dst)
Chaikin Money Flow (CMF)
Ease of Movement (EOM)
Klinger Oscillator (KO)
Money Flow Index (MFI)
Negative Volume Index (NVI)
On Balance Volume (OBV)
Positive Volume Index (PVI)
Price
Price-Volume Trend (PVT)
Volume
Volume MA (VMA)
Volume Percentile (V-Prct)
Volume RSI (V-RSI)
Volume Weighted Average Price (VWAP)
We're already working on adding a few more supported indicators. If you have any ideas about the indicators you want to see in our screener, contact us, and we'll consider them.
Filters
You can combine up to 5 filters on all selected indicators.
This will split the screen table into two parts. The top one will contain symbols that satisfy all conditions:
Alerts
You can also create an alert and receive a filtered symbol at the end of every bar.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Accumulation & Distribution - SimpleThis script is calculate volume weighted % change difference between up days and down days.
up days consider when price closed above (high+low+close)/3
down days consider when price closed below (high+low+close)/3
then this cumulative difference % is displayed using histogram with 2 ema.
this script is not provide the any trading signal but its help you to identify the power of buying or selling.
90 Minute Cycles + MTFCredit goes to LuxAlgo for the inspiration from 'Sessions' which allowed users to analyse specific price movements within a user defined period with tools such as trendline, mean and vwap.
Settings
Sessions
Enable Session: Allows to enable or disable all associated elements with a specific user set session.
Session Time: Opening and closing times of the user set session in the hh:mm format.
Range: Highlights the associated session range on the chart.
Ranges Settings
Range Area colour: Set each range to a specific colour.
Range Label: Shows the session label at the mid-point of the session interval.
Usage
By breaking 24hrs in quarters, starting with an Asian range of 18:00 NY time you can visualise the principles of Accumulation, Manipulation, Distribution and Rebalance. Know as AMD or PO3 (Power of Three), the principle is that the Manipulation phase will break above or below the Accumulation, before moving in an apposing direction and then rebalancing. This only works when there is a higher timeframe PD array or liquidity to support an apposing move.
Further to the daily quarters, each one can then be broken down again into 90min cycles. Again, each represents AMD, allowing the user an opportunity to watch for reversals during the 90min manipulation phase.
Note: Ensure the Asian Cycle always begins at 18:00 NY time.
The example shows that the 90min cycle occurs, followed by an apposing move away in price action
Here is the Daily cycle, highlighting the Manipulation phase.
Enjoy!
On-Balance Accumulation Distribution (Volume-Weighted)The On-Balance Accumulation Distribution (OBAD) indicator is designed to analyze the accumulation and distribution of assets based on volume-weighted price movements. The indicator helps traders identify periods of buying and selling pressure and assess the strength of market trends. By incorporating volume and price data, the OBAD indicator provides valuable insights into the flow of funds in the market.
To calculate the OBAD, the indicator multiplies the volume, price, and volume factor (user-defined) with the price change and aggregates the values over a specified length. This results in a histogram and a line plot representing the OBAD values. The OBAD signal line is derived by applying a simple moving average (SMA) to the OBAD values over a shorter period (9 by default). The crossover of the OBAD line and signal line can indicate potential entry or exit points.
The OBAD indicator utilizes coloration to enhance its visual representation and interpretation. The OBAD background is colored based on the relationship between the OBAD values and the OBAD signal line. When the OBAD values are above the signal line, the background is displayed in lime, suggesting a bullish accumulation scenario. Conversely, when the OBAD values are below the signal line, the background is colored fuchsia, indicating a bearish distribution pattern. The bar coloration is also applied to provide further visual cues, with lime representing bullish conditions and fuchsia denoting bearish conditions. When the OBAD signal line is above 0, it is colored green. Conversely, if the signal line is below 0, it is colored maroon.
The length parameter in the OBAD indicator determines the number of periods used in the calculation. Shorter lengths, such as 10 or 20, can make the indicator more responsive to recent price and volume changes, providing quicker signals. This can be beneficial for short-term traders or in fast-paced markets. Conversely, longer lengths, such as 50 or 100, smooth out the indicator and provide a broader view of accumulation and distribution over a more extended period. This may suit longer-term traders or when analyzing trends in less volatile markets. Traders should experiment with different lengths to find the optimal balance between responsiveness and smoothness that aligns with their trading goals.
The volume factor parameter allows traders to adjust the weighting of volume in the OBAD calculation. By modifying this factor, traders can emphasize the impact of volume on the indicator. Increasing the volume factor amplifies the influence of volume in the OBAD calculation, making it more sensitive to volume changes. This can be advantageous when volume is considered a significant driver of price movements, such as during news events or market catalysts. On the other hand, decreasing the volume factor reduces the impact of volume, making the indicator less sensitive to volume fluctuations. Traders can experiment with different volume factors to align the indicator's responsiveness with their analysis of volume patterns and its importance in their trading decisions.
The signal line period parameter determines the number of periods used to calculate the moving average of the OBAD values. Adjusting this parameter can help smooth out the indicator and filter out short-term noise or provide more timely signals. A shorter signal line period, such as 5 or 7, provides more sensitive and frequent crossovers with the OBAD values, potentially offering early entry or exit signals. This can be useful for traders seeking shorter-term trades or more agile trading strategies. Conversely, a longer signal line period, such as 9 or 14, smooths out the indicator and provides more stable signals. This may suit traders who prefer longer-term trends or a more conservative approach. Traders should consider their trading timeframe and the desired balance between responsiveness and stability when adjusting the signal line period.
The OBAD indicator can be applied in various trading strategies and scenarios. It helps traders identify potential trend reversals, confirm existing trends, and generate entry and exit signals. For example, when the OBAD histogram transitions from fuchsia to lime, it may suggest a shift from selling to buying pressure, signaling a potential buying opportunity. Traders can also use the OBAD indicator in conjunction with other technical analysis tools, such as trendlines or support/resistance levels, to confirm signals and make more informed trading decisions.
-- Trend Reversal Identification : The OBAD indicator can be useful in identifying potential trend reversals. When the OBAD values cross above the signal line after being below it, it may suggest a shift from bearish distribution to bullish accumulation. Conversely, when the OBAD values cross below the signal line after being above it, it may indicate a transition from bullish accumulation to bearish distribution. Traders can use these crossovers as potential signals to enter or exit trades in anticipation of a trend reversal.
-- Confirmation of Trend Strength : The OBAD indicator can act as a confirmation tool for assessing the strength of existing trends. When the OBAD values remain consistently above the signal line, it confirms the presence of strong bullish accumulation and validates the upward trend. Similarly, when the OBAD values stay consistently below the signal line, it confirms the presence of strong bearish distribution and validates the downward trend. Traders can use this confirmation to have more confidence in the prevailing trend and adjust their trading strategies accordingly.
-- Divergence Analysis : Divergence between the price and the OBAD indicator can provide valuable insights. Bullish divergence occurs when the price forms lower lows while the OBAD indicator forms higher lows, suggesting a potential trend reversal to the upside. Conversely, bearish divergence occurs when the price forms higher highs while the OBAD indicator forms lower highs, indicating a potential trend reversal to the downside. Traders can use these divergences as additional confirmation signals in their trading decisions.
-- Volume Analysis : The OBAD indicator incorporates volume data, making it particularly useful for volume analysis. Traders can analyze the relationship between OBAD values and volume levels to gauge the strength and validity of price movements. Higher OBAD values accompanied by higher volume can indicate strong accumulation or distribution, providing confirmation for potential trade setups. On the other hand, lower OBAD values accompanied by low volume may suggest a lack of participation and potentially signal caution in trading decisions.
It is important to note that the OBAD indicator, like any other technical indicator, has certain limitations. It relies on historical price and volume data, which may not always accurately reflect current market conditions or future price movements. Traders should exercise caution and use the OBAD indicator in conjunction with other analysis techniques and risk management strategies. Additionally, customization of the OBAD parameters, such as adjusting the length or volume factor, can provide flexibility to adapt the indicator to different market conditions and trading preferences.
Overall, the OBAD indicator serves as a valuable tool for traders to gauge the accumulation and distribution patterns in the market. Its calculation based on volume-weighted price movements and the coloration enhancements make it visually appealing and intuitive to interpret. By incorporating the OBAD indicator into trading strategies and considering its limitations, traders can potentially improve their decision-making process and enhance their trading outcomes.
ICT Macros [LuxAlgo]The ICT Macros indicator aims to highlight & classify ICT Macros, which are time intervals where algorithmic trading takes place to interact with existing liquidity or to create new liquidity.
🔶 SETTINGS
🔹 Macros
Macro Time options (such as '09:50 AM 10:10'): Enable specific macro display.
Top Line , Mid Line , Bottom Line and Extending Lines options: Controls the lines for the specific macro.
🔹 Macro Classification
Length : A length to detect Market Structure Brakes and classify macro type based on detection.
Swing Area : Swing or Liquidity Area selection, highest/lowest of the wick or the candle bodies.
Accumulation , Manipulation and Expansion color options for the classified macros.
🔹 Others
Macro Texts : Controls both the size and the visibility of the macro text.
Alert Macro Times in Advance (Minutes) : This option will plot a vertical line presenting the start of the next macro time. The line will not appear all the time, but it will be there based on remaining minutes specified in the option.
Daylight Saving Time (DST) : Adjust time appropriate to Daylight Saving Time of the specific region.
🔶 USAGE
A macro is a way to automate a task or procedure which you perform on a regular basis.
In the context of ICT's teachings, a macro is a small program or set of instructions that unfolds within an algorithm, which influences price movements in the market. These macros operate at specific times and can be related to price runs from one level to another or certain market behaviors during specific time intervals. They help traders anticipate market movements and potential setups during specific time intervals.
To trade these effectively, it is important to understand the time of day when certain macros come into play, and it is strongly advised to introduce the concept of liquidity in your analysis.
Macros can be classified into three categories where the Macro classification is calculated based on the Market Structure prior to macro and the Market Structure during the macro duration:
Manipulation Macro
Manipulation macros are characterized by liquidity being swept both on the buyside and sellside.
Expansion Macro
Expansion macros are characterized by liquidity being swept only on the buyside or sellside. Prices within these macros are highly correlated with the overall trend.
Accumulation Macro
Accumulation macros are characterized by an accumulation of liquidity. Prices within these macros tend to range.
The script returns the maximum/minimum price values reached during the macro interval alongside the average between the maximum/minimum and extends them until a new macro starts. These levels can act as supports and resistances.
🔶 DETAILS
All required data for the macro detection and classification is retrieved using 1 minute data sets, this includes candles as well as pivot/swing highs and lows. This approach guarantees the visually presented objects are same (same highs/lows) on higher timeframes as well as the macro classification remain same as it is in 1 min charts.
8 Macros can be displayed by the script (4 are enabled by default):
02:33 AM 03:00 London Macro
04:03 AM 04:30 London Macro
08:50 AM 09:10 New York Macro
09:50 AM 10:10 New York Macro
10:50 AM 11:10 New York Macro
11:50 AM 12:10 New York Launch Macro
13:10 PM 13:40 New York Macro
15:15 PM 15:45 New York Macro
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in advance of the next Macro time, where the value specified in 'Alert Macro Times in Advance (Minutes)' option indicates how early to be notified.
🔶 LIMITATIONS
The script is supported on 1 min, 3 mins and 5 mins charts.
🔶 RELATED SCRIPTS
Institutional Patterns (Zeiierman)█ Overview
Institutional Patterns (Zeiierman) reveals how large participants quietly shape market structure. It transforms price, volume, and momentum into a unified view of institutional activity, helping traders see beyond surface volatility to understand where meaningful capital is entering or exiting the market.
The indicator operates through two primary layers:
Pre-Institutional Activity, which highlights early accumulation or distribution before trends emerge, and Institutional Activity , which visualizes active participation once those trends are underway. Each layer combines flow signals from momentum, trend, and volume domains into an adaptive map of market behavior. The result is a fluid representation of how professional money interacts with price, showing when participation is strengthening, fading, or shifting direction.
⚪ Why This One Is Unique
Traditional “smart money” indicators focus on one aspect of market behavior. Institutional Patterns blends multiple adaptive models into a single, self-adjusting framework that evaluates participation strength and direction dynamically.
Its internal flow engine rebalances several momentum and volume dimensions based on changing volatility and structure. This allows it to remain stable in trending environments while still sensitive to early signs of accumulation or exhaustion. Traders gain a clear sense of whether the underlying flow supports or contradicts visible price action.
█ Main Features
⚪ Smart Money Flow
Smart Money Flow provides a multi-dimensional view of how institutional participation evolves beneath price action. It combines several adaptive models that represent different aspects of market behavior—momentum, volatility balance, trend inertia, and volume displacement—into a single synchronized flow structure.
When the flows move together, it shows unified institutional behavior; when they diverge, it signals redistribution, exhaustion, or hidden accumulation. The flow visualization reacts dynamically to volatility shifts, helping traders detect the strength or fragility behind visible price trends.
⚪ Institutional Activity Layer
The Institutional Activity Layer transforms the collective signals of Smart Money Flow into a coherent measure of institutional intent. It visualizes where capital is entering or exiting positions in real time.
Each activity pulse represents the depth of institutional engagement, filtered through adaptive volatility scaling. Green regions highlight expansion phases when capital is building into strength, while red regions indicate contraction or controlled distribution.
This layer bridges the gap between short-term trader behavior and long-term professional positioning, providing a clear and adaptable view of where meaningful market participation truly resides.
⚪ Key Terms
Accumulation vs. Distribution
These terms describe what large participants are doing, not necessarily whether price is going up or down at that moment:
Accumulation: Institutions are building long exposure—quietly buying over time, often during a sideways or suppressed market phase, before a larger uptrend.
Distribution: Institutions are building short exposure or unloading longs—selling gradually into strength, often during or near the end of an uptrend.
In a Uptrend Context
During an uptrend, institutions often accumulate early and distribute later.
Accumulation occurs when large players are building long positions during consolidation or pullbacks, preparing for the next upward leg.
Distribution takes place when they begin offloading those long positions into strength, gradually selling to retail demand near or after market peaks.
In a Downtrend Context
Even in a downtrend, both processes can still occur.
When large players are adding short positions at higher levels, this represents distribution, as they are distributing supply into the market as the price attempts to rally.
When institutions begin covering shorts or quietly building new long exposure for a future recovery, that marks accumulation, reflecting strategic buying while price remains weak and undervalued.
█ How to Use
⚪ Trend Following
The simplest way to use the indicator is to look for alignment across the Smart Money Flow components.
When most of the flows align in green, it signals strong buying pressure and confirms that institutional participation supports the uptrend. This is the ideal environment for trend-following trades in the direction of strength.
When most flows align in red, it indicates dominant selling pressure and active distribution, suggesting short opportunities aligned with the prevailing downtrend.
⚪ Pullbacks
Pullbacks can be identified when the Leading Flow begins to diverge from the primary Smart Money Flow.
If the main flow remains bullish (green) but the leading flow temporarily turns bearish (red), it often marks a short-term retracement within an uptrend. This phase can offer re-entry opportunities for long positions once the flows realign.
In a downtrend, the opposite applies. If the main flow remains bearish (red) and the leading flow turns bullish (green), it signals a temporary countertrend bounce that may provide short re-entry points after the correction fades.
⚪ Breakouts
Breakouts are best confirmed by the Institutional Activity Layer.
A bullish breakout occurs when institutional activity spikes above a breakout level with clear green intensity, confirming active capital expansion and strong follow-through potential.
Conversely, a bearish breakout is confirmed when institutional activity rises below a breakdown level with strong red intensity, signaling renewed distribution and a potential continuation of the downtrend.
⚪ Reversals
Institutional activity can also reveal potential reversal zones.
If red or pink activity appears after an extended downtrend or near a lower trading range, it may indicate accumulation and an upcoming bullish reversal.
If green or aqua activity forms after a prolonged uptrend or near upper resistance levels, it may signal distribution and the beginning of a bearish reversal.
Note: These signals can be the first sign of a potential reversal, but they still need confirmation before taking action.
⚪ Squeeze Detections
Squeeze conditions occur when volume flow begins to diverge from the primary trend, showing early signs of trapped positioning.
If volume flow turns bullish while price and trend flow remain bearish, it suggests buyers are stepping in early. If the price then accelerates downward, longs get trapped and start closing positions, triggering a long liquidation that further fuels the drop.
If volume flow turns bearish while price and trend flow remain bullish, it signals early selling pressure. If the price then pushes higher, shorts begin exiting to limit losses, causing a short squeeze that amplifies the upward move.
█ How It Works
⚪ Flow Integration Framework
The indicator combines several flow components into a single activity field using advanced normalization and smoothing logic. Each flow—trend, momentum, oscillator, and volume bias—contributes a weighted directional influence. These are blended into a balanced structure that represents the strength and direction of institutional behavior across time.
Calculation: Employs multi-domain normalization and weighted signal blending to synchronize phase, reduce noise, and maintain a coherent directional bias across all flow sources.
⚪ Institutional Activity Core
At the core of the system is a volatility-adaptive activity model that interprets both price displacement and volume footprint asymmetry. It measures how trade flow diverges from recent equilibrium and translates that divergence into a refined intensity signal. The model reacts dynamically to imbalances between buying and selling pressure (delta), revealing whether institutional flow is accumulating into strength or distributing into weakness.
Calculation: Utilizes a dynamic volatility envelope combined with delta-weighted response mapping to translate footprint imbalances into a smooth, self-adjusting participation curve.
⚪ Pre-Institutional Detection Engine
The early detection engine isolates latent footprint formations and delta transitions that occur before price movement becomes visible. It examines structural variance, order-flow dispersion, and volatility compression to pinpoint areas where large participants begin to build or unwind positions.
Calculation: Applies entropy-weighted variance mapping and flow compression analysis to reveal pre-breakout regions of capital absorption or release.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
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