Weis Wave VolumeThis indicator is based on the Weis Wave described by David H. Weis in his book Trades About to Happen: A Modern Adaptation of the Wyckoff Method, more info how to use this indicator can also be found in this video . The Weis Wave is an adaptation of Richard D. Wyckoff’s method Wave Charts. It works in all time periods and can be applied to all asset types. For assets that do not support volume Weis propose in his book to use the true range instead, so if you want to use this indicator for assets that do not support volume, make sure to enable the checkbox "Use True Range instead of Volume".
Unlike other implementations I found here on Trading, this implementation make use of a Renko-like zig zag pattern, very similar to how it is described in David H. Weis' book. The settings for the zig zag pattern are very similar to the standard Renko settings here on TradingView, in the "Renko Assignment Method" you either chose "ATR" or "Traditional" (read more about it here ). The ATR length or the brick size is then entered in the textbox "Value". You can also chose another setting in the "Renko Assignment Method" drop down named "Part of Price" which calculate the brick size from the current close and divide it by the value in the text box "Value". It is also possible to chose if the zig zag pattern shall use the high/low, the open/close or just the close as the most extreme values in its calculation, you select this in the drop down "Price Source". If you want the price to oscillate around a zero value, enable the "Oscillating" checkbox.
TradingView's pine script does currently not support to print non-static text on the chart, so it is not possible at this point to write out the volume on the zig zag chart. It is also not possible to have both an overlay and separate chart pane in the same indicator, therefor this indicator is split up in two.
You can find the zig zag indicator here:
ค้นหาในสคริปต์สำหรับ "Wyckoff"
sVPSA - standardized Volume Price Spread AnalysisDear Analysts and Traders,
I want to introduce my new indicator - sVPSA - standardized Volume Price Spread Analysis. For me, this script is helpfully in Technical Analysis mainly with Wyckoff and VSA methodologies. Maybe You are in circle of people who used my previous script - normalized Volume Price Spread Analysis. I work with him a lot of time, but I come to a conclusion that I can do better...
Theory concept...
What is a big volume? How big was this spread? It was extreme high or just high? How to do an answer for this and a lot other questions related to this subject? My thoughts was directed to statistics. In my first script I used to x/max normalized data. It was good, but susceptible for high deviation events. So, I choose standardization method with smaller sensitivity on violent events - z-Score standardization Description of z-Score formula:
Z = (x-mean)/standard deviation
Probability of event are descriptive by probability density function - The Normal Distribution.
en.wikipedia.org
en.Wikipedia.org
This is base of script methodology, let’s go deeper in indicator.
X axis is time, date. Y axis is standard deviation. Narrow bar represent price spread, wide one is volume. Colors are corresponding to deviation, blue < sigma, green > sigma, red > 2*sigma and fuchsia > 3*sigma. Appearance is full editable.
Data collection starts from left to right. There is two possibilities to use, constans number of bars or visible data range, also indicator permit to overscore linear regression from data. There is a possibility to set an alert.
Short introduction how put an interpretation on visualized data.
For this example I used constans value of data collection, 52 bars. So, from left I see great, fuchsia volume bar with low spread. This record respond Celsius withdrawals pause. This is bar with the biggest volume on presented chart, more than four sigmas. Spread value is near one sigma. I should consider this via one of Wyckoffs laws - effort vs result. I see a three bars in turn, they tenor tells me that bear market is possible near end. Accumulation structure near new year, spring test and bullish momentum bar near march are approval of this idea. Next high spread bars have volume near mean value. Effort is low but result is great. Interesting is last bar, with -2,8 deviation of volume. I see the lowest volume value on chart, so he’s deviation is strong to negative side. This script require a little of practise and can be a potent tool in Technical Analysis.
If You have a concept how to improve my script or You experience bug, please, send me feedback.
I hope that You consider my work as useful.
I wish You great trades and faultless analysis.
CatTheTrader
VSA Wyckoff Volume with Bubbles Introducing the "VSA Wyckoff Volume" indicator—a powerful tool for traders who want to visualize and analyze market volume with precision. This indicator leverages Volume Spread Analysis (VSA) and Wyckoff principles to categorize volume into six distinct levels: Ultra High, Very High, High, Normal, Low, and Very Low. Each level is represented by a color-coded bubble on the chart, with bubble sizes adjusted according to the volume intensity. Additionally, the indicator incorporates an ATR-based positioning system, ensuring that each bubble is placed accurately on the chart for easy interpretation. Whether you're an experienced trader or new to the market, this indicator provides clear insights into market activity, helping you make more informed trading decisions.
Volume Spread Analysis (VSA) is a trading methodology that analyzes the relationship between volume, price, and the spread (range) of a price bar. It was developed by Tom Williams, who combined his experience as a trader with principles derived from Richard D. Wyckoff's work on market manipulation.
Key Concepts of VSA:
Volume: The amount of a particular asset traded during a specific time period. In VSA, volume is a key indicator of market activity and is used to understand the strength or weakness behind price movements.
Spread: The range between the high and low of a price bar. The spread, when analyzed in conjunction with volume, can indicate whether the market is being driven by strong or weak hands.
Price: The actual value at which an asset is traded. VSA looks at price in relation to volume and spread to identify the intentions of smart money (large institutional traders).
How VSA Works:
VSA aims to uncover the footprints of smart money by analyzing the volume and price spread. The core idea is that significant price movements accompanied by high volume indicate the involvement of professional traders, while price movements on low volume might suggest that the move lacks conviction or is driven by retail traders.
VSA in Practice:
High Volume, Narrow Spread: This could indicate supply coming into the market as professional traders sell into the buying pressure, leading to potential price weakness.
High Volume, Wide Spread, Price Up: This often suggests strong buying interest, with smart money pushing prices higher.
Low Volume, Wide Spread: A sign of a potential weak market, where price is moving without strong participation, indicating that the move may not be sustainable.
Applications:
VSA is particularly useful for identifying potential turning points in the market, understanding market sentiment, and anticipating future price movements based on the actions of smart money. Traders who use VSA often combine it with other technical analysis tools to build a comprehensive trading strategy.
Your "VSA Wyckoff Volume" indicator, by categorizing volume into distinct levels and visualizing it on the chart, provides an enhanced way to apply VSA principles and understand the underlying market dynamics.
NSF/NBF Boxes📘 NSF / NBF Extended Boxes (Wyckoff–VSA Smart Zones)
This indicator automatically detects No Supply (NSF) and No Buying / No Demand (NBF) bars using Wyckoff–VSA principles and marks them with extended boxes and a dashed 50% midline.
🟢 NSF (No Supply) — Bullish accumulation signal
🔴 NBF (No Demand) — Bearish distribution signal
Each box extends forward in time to highlight key supply/demand zones, while the dashed midline represents the equilibrium level within that bar.
When price later retests this 50% level, the script triggers a visual marker and an alert condition, helping you spot potential reversals or continuation confirmations.
🧠 Core Features
Automatic detection of No Supply / No Demand bars
Extended boxes with adjustable length and auto-extension
Midline (50%) retest alerts for precise trade timing
Optional EMA trend filter, volume check, and close bias
Works even on symbols without volume data (crypto, indices, FX)
“Test Mode” included for easy visualization and debugging
⚙️ Usage Tips
Use on 5m–4h charts for crypto or stocks to spot professional activity.
Combine with Wyckoff, VSA, or Smart Money Concepts to confirm accumulation/distribution phases.
Look for NSF retests near support in a downtrend → possible long entry.
Look for NBF retests near resistance in an uptrend → possible short entry.
🧩 Parameters
Ignore Volume: disables volume filters for markets with missing data
Use EMA Trend Filter: only confirm signals in direction of trend
Auto-extend Boxes: keeps zones projecting into future bars
Retest Alerts: triggers when price touches midline after formation
💡 Author’s Note
This tool visualizes the often-hidden behavior of smart money absorption and weak demand exhaustion.
Use it as part of a complete trading plan — not as a standalone buy/sell signal
[Teyo69] T1 Wyckoff Aggressive A/D Setup📘 Overview
The T1 Wyckoff Aggressive A/D Setup is a dual-mode indicator that detects bullish accumulations and bearish distributions using core principles from the Wyckoff Method. It identifies price/volume behavior during Selling/Buying Climaxes, ARs, SOS/SOW, and triggers based on trend structure.
🔍 Features
✅ Automatic detection of:
Automatic Rally (AR)
Automatic Reaction (AR)
Sign of Strength (SOS) or Sign of Weakness (SOW)
🧠 Trend-sensitive logic with linear regression slope filters
⚙️ Configurable options for Reversal vs Trend Following mode
🎯 Smart structure timing filters using barssince() logic
🔊 Volume spike and wide-range candle detection
📊 Visual cues for bullish (green) and bearish (red) backgrounds
🛠 How to Use
Reversal Mode
Triggers early signals after a Climax + AR
Ideal for catching turning points during consolidations
Trend Following Mode
Requires Climax, AR, and confirmation (SOS or SOW)
Waits for structure confirmation before signaling
Use this when you want higher probability trades
⚙️ Configuration
Volume MA Length - Determines baseline volume to detect spikes
Wick % of Candle - Filters candles with long tails for SC/BC
Close Near Threshold - Ensures candles close near high/low
Breakout Lookback - Sets structure breakout level
Structure Threshold - Controls timing window for setups
Signal Option - Switch between Reversal or Trend Following mode
⚠️ Limitations
Doesn't confirm macro structure like full Wyckoff phase labeling (A–E)
May repaint on lower timeframes during volatile candles
Works best when combined with visual range recognition and market context
🧠 Advanced Tips
Use in confluence with:
Volume Profile ranges
Trendlines and supply/demand areas
Ideal timeframes: 8H to 1D for crypto and forex markets
Combine this with LPS/UTAD patterns for refined entries
📝 Notes
SC/AR/SOS = Bullish
BC/AR/SOW = Bearish
Trend coloring adapts background (green = rising slope, red = falling slope)
🛡️ Disclaimer
This tool is a market structure guide, not financial advice. Past behavior does not guarantee future performance. Always use proper risk management.
VPSA-VTDDear Sir/Madam,
I am pleased to present the next iteration of my indicator concept, which, in my opinion, serves as a highly useful tool for analyzing markets using the Volume Spread Analysis (VSA) method or the Wyckoff methodology.
The VPSA (Volume-Price Spread Analysis), the latest version in the family of scripts I’ve developed, appears to perform its task effectively. The combination of visualizing normalized data alongside their significance, achieved through the application of Z-Score standardization, proved to be a sound solution. Therefore, I decided to take it a step further and expand my project with a complementary approach to the existing one.
Theory
At the outset, I want to acknowledge that I’m aware of the existence of other probabilistic models used in financial markets, which may describe these phenomena more accurately. However, in line with Occam's Razor, I aimed to maintain simplicity in the analysis and interpretation of the concepts below. For this reason, I focused on describing the data using the Gaussian distribution.
The data I read from the chart — primarily the closing price, the high-low price difference (spread), and volume — exhibit cyclical patterns. These cycles are described by Wyckoff's methodology, while VSA complements and presents them from a different perspective. I will refrain from explaining these methods in depth due to their complexity and broad scope. What matters is that within these cycles, various events occur, described by candles or bars in distinct ways, characterized by different spreads and volumes. When observing the chart, I notice periods of lower volatility, often accompanied by lower volumes, as well as periods of high volatility and significant volumes. It’s important to find harmony within this apparent chaos. I think that chart interpretation cannot happen without considering the broader context, but the more variables I include in the analytical process, the more challenges arise. For instance, how can I determine if something is large (wide) or small (narrow)? For elements like volume or spread, my script provides a partial answer to this question. Now, let’s get to the point.
Technical Overview
The first technique I applied is Min-Max Normalization. With its help, the script adjusts volume and spread values to a range between 0 and 1. This allows for a comparable bar chart, where a wide bar represents volume, and a narrow one represents spread. Without normalization, visually comparing values that differ by several orders of magnitude would be inconvenient. If the indicator shows that one bar has a unit spread value while another has half that value, it means the first bar is twice as large. The ratio is preserved.
The second technique I used is Z-Score Standardization. This concept is based on the normal distribution, characterized by variables such as the mean and standard deviation, which measures data dispersion around the mean. The Z-Score indicates how many standard deviations a given value deviates from the population mean. The higher the Z-Score, the more the examined object deviates from the mean. If an object has a Z-Score of 3, it falls within 0.1% of the population, making it a rare occurrence or even an anomaly. In the context of chart analysis, such strong deviations are events like climaxes, which often signal the end of a trend, though not always. In my script, I assigned specific colors to frequently occurring Z-Score values:
Below 1 – Blue
Above 1 – Green
Above 2 – Red
Above 3 – Fuchsia
These colors are applied to both spread and volume, allowing for quick visual interpretation of data.
Volume Trend Detector (VTD)
The above forms the foundation of VPSA. However, I have extended the script with a Volume Trend Detector (VTD). The idea is that when I consider market structure - by market structure, I mean the overall chart, support and resistance levels, candles, and patterns typical of spread and volume analysis as well as Wyckoff patterns - I look for price ranges where there is a lack of supply, demand, or clues left behind by Smart Money or the market's enigmatic identity known as the Composite Man. This is essential because, as these clues and behaviors of market participants — expressed through the chart’s dynamics - reflect the actions, decisions, and emotions of all players. These behaviors can help interpret the bull-bear battle and estimate the probability of their next moves, which is one of the key factors for a trader relying on technical analysis to make a trade decision.
I enhanced the script with a Volume Trend Detector, which operates in two modes:
Step-by-Step Logic
The detector identifies expected volume dynamics. For instance, when looking for signs of a lack of bullish interest, I focus on setups with decreasing volatility and volume, particularly for bullish candles. These setups are referred to as No Demand patterns, according to Tom Williams' methodology.
Simple Moving Average (SMA)
The detector can also operate based on a simple moving average, helping to identify systematic trends in declining volume, indicating potential imbalances in market forces.
I’ve designed the program to allow the selection of candle types and volume characteristics to which the script will pay particular attention and notify me of specific market conditions.
Advantages and Disadvantages
Advantages:
Unified visualization of normalized spread and volume, saving time and improving efficiency.
The use of Z-Score as a consistent and repeatable relative mechanism for marking examined values.
The use of colors in visualization as a reference to Z-Score values.
The possibility to set up a continuous alert system that monitors the market in real time.
The use of EMA (Exponential Moving Average) as a moving average for Z-Score.
The goal of these features is to save my time, which is the only truly invaluable resource.
Disadvantages:
The assumption that the data follows a normal distribution, which may lead to inaccurate interpretations.
A fixed analysis period, which may not be perfectly suited to changing market conditions.
The use of EMA as a moving average for Z-Score, listed both as an advantage and a disadvantage depending on market context.
I have included comments within the code to explain the logic behind each part. For those who seek detailed mathematical formulas, I invite you to explore the code itself.
Defining Program Parameters:
Numerical Conditions:
VPSA Period for Analysis – The number of candles analyzed.
Normalized Spread Alert Threshold – The expected normalized spread value; defines how large or small the spread should be, with a range of 0-1.00.
Normalized Volume Alert Threshold – The expected normalized volume value; defines how large or small the volume should be, with a range of 0-1.00.
Spread Z-SCORE Alert Threshold – The Z-SCORE value for the spread; determines how much the spread deviates from the average, with a range of 0-4 (a higher value can be entered, but from a logical standpoint, exceeding 4 is unnecessary).
Volume Z-SCORE Alert Threshold – The Z-SCORE value for volume; determines how much the volume deviates from the average, with a range of 0-4 (the same logical note as above applies).
Logical Conditions:
Logical conditions describe whether the expected value should be less than or equal to or greater than or equal to the numerical condition.
All four parameters accept two possibilities and are analogous to the numerical conditions.
Volume Trend Detector:
Volume Trend Detector Period for Analysis – The analysis period, indicating the number of candles examined.
Method of Trend Determination – The method used to determine the trend. Possible values: Step by Step or SMA.
Trend Direction – The expected trend direction. Possible values: Upward or Downward.
Candle Type – The type of candle taken into account. Possible values: Bullish, Bearish, or Any.
The last available setting is the option to enable a joint alert for VPSA and VTD.
When enabled, VPSA will trigger on the last closed candle, regardless of the VTD analysis period.
Example Use Cases (Labels Visible in the Script Window Indicate Triggered Alerts):
The provided labels in the chart window mark where specific conditions were met and alerts were triggered.
Summary and Reflections
The program I present is a strong tool in the ongoing "game" with the Composite Man.
However, it requires familiarity and understanding of the underlying methodologies to fully utilize its potential.
Of course, like any technical analysis tool, it is not without flaws. There is no indicator that serves as a perfect Grail, accurately signaling Buy or Sell in every case.
I would like to thank those who have read through my thoughts to the end and are willing to take a closer look at my work by using this script.
If you encounter any errors or have suggestions for improvement, please feel free to contact me.
I wish you good health and accurately interpreted market structures, leading to successful trades!
CatTheTrader
Auto Volume Spread Analysis (VSA) [TANHEF]Auto Volume Spread Analysis (visible volume and spread bars auto-scaled): Understanding Market Intentions through the Interpretation of Volume and Price Movements.
All the sections below contain the same descriptions as my other indicator "Volume Spread Analysis" with the exception of 'Auto Scaling'.
█ Auto-Scaling
This indicator auto-scales spread bars to match the visible volume bars, unlike the previous "Volume Spread Analysis " version which limited the number of visible spread bars to a fixed count. The auto-scaling feature allows for easier navigation through historical data, enabling both more historical spread bars to be viewed and more historical VSA pattern labels being displayed without requiring using the bar replay tool. Please note that this indicator’s auto-scaling feature recalculates the visible bars on the chart, causing the indicator to reload whenever the chart is moved.
Auto-scaled spread bars have two display options (set via 'Spread Bars Method' setting):
Lines: a bar lookback limit of 500 bars.
Polylines: no bar lookback limit as only plotted on visible bars on chart, which uses multiple polylines are used.
█ Simple Explanation:
The Volume Spread Analysis (VSA) indicator is a comprehensive tool that helps traders identify key market patterns and trends based on volume and spread data. This indicator highlights significant VSA patterns and provides insights into market behavior through color-coded volume/spread bars and identification of bars indicating strength, weakness, and neutrality between buyers and sellers. It also includes powerful volume and spread forecasting capabilities.
█ Laws of Volume Spread Analysis (VSA):
The origin of VSA begins with Richard Wyckoff, a pivotal figure in its development. Wyckoff made significant contributions to trading theory, including the formulation of three basic laws:
The Law of Supply and Demand: This fundamental law states that supply and demand balance each other over time. High demand and low supply lead to rising prices until demand falls to a level where supply can meet it. Conversely, low demand and high supply cause prices to fall until demand increases enough to absorb the excess supply.
The Law of Cause and Effect: This law assumes that a 'cause' will result in an 'effect' proportional to the 'cause'. A strong 'cause' will lead to a strong trend (effect), while a weak 'cause' will lead to a weak trend.
The Law of Effort vs. Result: This law asserts that the result should reflect the effort exerted. In trading terms, a large volume should result in a significant price move (spread). If the spread is small, the volume should also be small. Any deviation from this pattern is considered an anomaly.
█ Volume and Spread Analysis Bars:
Display: Volume and spread bars that consist of color coded levels, with the spread bars scaled to match the volume bars. A displayable table (Legend) of bar colors and levels can give context and clarify to each volume/spread bar.
Calculation: Levels are calculated using multipliers applied to moving averages to represent key levels based on historical data: low, normal, high, ultra. This method smooths out short-term fluctuations and focuses on longer-term trends.
Low Level: Indicates reduced volatility and market interest.
Normal Level: Reflects typical market activity and volatility.
High Level: Indicates increased activity and volatility.
Ultra Level: Identifies extreme levels of activity and volatility.
This illustrates the appearance of Volume and Spread bars when scaled and plotted together:
█ Forecasting Capabilities:
Display: Forecasted volume and spread levels using predictive models.
Calculation: Volume and Spread prediction calculations differ as volume is linear and spread is non-linear.
Volume Forecast (Linear Forecasting): Predicts future volume based on current volume rate and bar time till close.
Spread Forecast (Non-Linear Dynamic Forecasting): Predicts future spread using a dynamic multiplier, less near midpoint (consolidation) and more near low or high (trending), reflecting non-linear expansion.
Moving Averages: In forecasting, moving averages utilize forecasted levels instead of actual levels to ensure the correct level is forecasted (low, normal, high, or ultra).
The following compares forecasted volume with actual resulting volume, highlighting the power of early identifying increased volume through forecasted levels:
█ VSA Patterns:
Criteria and descriptions for each VSA pattern are available as tooltips beside them within the indicator’s settings. These tooltips provide explanations of potential developments based on the volume and spread data.
Signs of Strength (🟢): Patterns indicating strong buying pressure and potential market upturns.
Down Thrust
Selling Climax
No Effort ➤ Bearish Result
Bearish Effort ➤ No Result
Inverse Down Thrust
Failed Selling Climax
Bull Outside Reversal
End of Falling Market (Bag Holder)
Pseudo Down Thrust
No Supply
Signs of Weakness (🔴): Patterns indicating strong selling pressure and potential market downturns.
Up Thrust
Buying Climax
No Effort ➤ Bullish Result
Bullish Effort ➤ No Result
Inverse Up Thrust
Failed Buying Climax
Bear Outside Reversal
End of Rising Market (Bag Seller)
Pseudo Up Thrust
No Demand
Neutral Patterns (🔵): Patterns indicating market indecision and potential for continuation or reversal.
Quiet Doji
Balanced Doji
Strong Doji
Quiet Spinning Top
Balanced Spinning Top
Strong Spinning Top
Quiet High Wave
Balanced High Wave
Strong High Wave
Consolidation
Bar Patterns (🟡): Common candlestick patterns that offer insights into market sentiment. These are required in some VSA patterns and can also be displayed independently.
Bull Pin Bar
Bear Pin Bar
Doji
Spinning Top
High Wave
Consolidation
This demonstrates the acronym and descriptive options for displaying bar patterns, with the ability to hover over text to reveal the descriptive text along with what type of pattern:
█ Alerts:
VSA Pattern Alerts: Notifications for identified VSA patterns at bar close.
Volume and Spread Alerts: Alerts for confirmed and forecasted volume/spread levels (Low, High, Ultra).
Forecasted Volume and Spread Alerts: Alerts for forecasted volume/spread levels (High, Ultra) include a minimum percent time elapsed input to reduce false early signals by ensuring sufficient bar time has passed.
█ Inputs and Settings:
Indicator Bar Color: Select color schemes for bars (Normal, Detail, Levels).
Indicator Moving Average Color: Select schemes for bars (Fill, Lines, None).
Price Bar Colors: Options to color price bars based on VSA patterns and volume levels.
Legend: Display a table of bar colors and levels for context and clarity of volume/spread bars.
Forecast: Configure forecast display and prediction details for volume and spread.
Average Multipliers: Define multipliers for different levels (Low, High, Ultra) to refine the analysis.
Moving Average: Set volume and spread moving average settings.
VSA: Select the VSA patterns to be calculated and displayed (Strength, Weakness, Neutral).
Bar Patterns: Criteria for bar patterns used in VSA (Doji, Bull Pin Bar, Bear Pin Bar, Spinning Top, Consolidation, High Wave).
Colors: Set exact colors used for indicator bars, indicator moving averages, and price bars.
More Display Options: Specify how VSA pattern text is displayed (Acronym, Descriptive), positioning, and sizes.
Alerts: Configure alerts for VSA patterns, volume, and spread levels, including forecasted levels.
█ Usage:
The Volume Spread Analysis indicator is a helpful tool for leveraging volume spread analysis to make informed trading decisions. It offers comprehensive visual and textual cues on the chart, making it easier to identify market conditions, potential reversals, and continuations. Whether analyzing historical data or forecasting future trends, this indicator provides insights into the underlying factors driving market movements.
Volume Spread Analysis [TANHEF]Volume Spread Analysis: Understanding Market Intentions through the Interpretation of Volume and Price Movements.
█ Simple Explanation:
The Volume Spread Analysis (VSA) indicator is a comprehensive tool that helps traders identify key market patterns and trends based on volume and spread data. This indicator highlights significant VSA patterns and provides insights into market behavior through color-coded volume/spread bars and identification of bars indicating strength, weakness, and neutrality between buyers and sellers. It also includes powerful volume and spread forecasting capabilities.
█ Laws of Volume Spread Analysis (VSA):
The origin of VSA begins with Richard Wyckoff, a pivotal figure in its development. Wyckoff made significant contributions to trading theory, including the formulation of three basic laws:
The Law of Supply and Demand: This fundamental law states that supply and demand balance each other over time. High demand and low supply lead to rising prices until demand falls to a level where supply can meet it. Conversely, low demand and high supply cause prices to fall until demand increases enough to absorb the excess supply.
The Law of Cause and Effect: This law assumes that a 'cause' will result in an 'effect' proportional to the 'cause'. A strong 'cause' will lead to a strong trend (effect), while a weak 'cause' will lead to a weak trend.
The Law of Effort vs. Result: This law asserts that the result should reflect the effort exerted. In trading terms, a large volume should result in a significant price move (spread). If the spread is small, the volume should also be small. Any deviation from this pattern is considered an anomaly.
█ Volume and Spread Analysis Bars:
Display: Volume and/or spread bars that consist of color coded levels. If both of these are displayed, the number of spread bars can be limited for visual appeal and understanding, with the spread bars scaled to match the volume bars. While automatic calculation of the number of visual bars for auto scaling is possible, it is avoided to prevent the indicator from reloading whenever the number of visual price bars on the chart is adjusted, ensuring uninterrupted analysis. A displayable table (Legend) of bar colors and levels can give context and clarify to each volume/spread bar.
Calculation: Levels are calculated using multipliers applied to moving averages to represent key levels based on historical data: low, normal, high, ultra. This method smooths out short-term fluctuations and focuses on longer-term trends.
Low Level: Indicates reduced volatility and market interest.
Normal Level: Reflects typical market activity and volatility.
High Level: Indicates increased activity and volatility.
Ultra Level: Identifies extreme levels of activity and volatility.
This illustrates the appearance of Volume and Spread bars when scaled and plotted together:
█ Forecasting Capabilities:
Display: Forecasted volume and spread levels using predictive models.
Calculation: Volume and Spread prediction calculations differ as volume is linear and spread is non-linear.
Volume Forecast (Linear Forecasting): Predicts future volume based on current volume rate and bar time till close.
Spread Forecast (Non-Linear Dynamic Forecasting): Predicts future spread using a dynamic multiplier, less near midpoint (consolidation) and more near low or high (trending), reflecting non-linear expansion.
Moving Averages: In forecasting, moving averages utilize forecasted levels instead of actual levels to ensure the correct level is forecasted (low, normal, high, or ultra).
The following compares forecasted volume with actual resulting volume, highlighting the power of early identifying increased volume through forecasted levels:
█ VSA Patterns:
Criteria and descriptions for each VSA pattern are available as tooltips beside them within the indicator’s settings. These tooltips provide explanations of potential developments based on the volume and spread data.
Signs of Strength (🟢): Patterns indicating strong buying pressure and potential market upturns.
Down Thrust
Selling Climax
No Effort → Bearish Result
Bearish Effort → No Result
Inverse Down Thrust
Failed Selling Climax
Bull Outside Reversal
End of Falling Market (Bag Holder)
Pseudo Down Thrust
No Supply
Signs of Weakness (🔴): Patterns indicating strong selling pressure and potential market downturns.
Up Thrust
Buying Climax
No Effort → Bullish Result
Bullish Effort → No Result
Inverse Up Thrust
Failed Buying Climax
Bear Outside Reversal
End of Rising Market (Bag Seller)
Pseudo Up Thrust
No Demand
Neutral Patterns (🔵): Patterns indicating market indecision and potential for continuation or reversal.
Quiet Doji
Balanced Doji
Strong Doji
Quiet Spinning Top
Balanced Spinning Top
Strong Spinning Top
Quiet High Wave
Balanced High Wave
Strong High Wave
Consolidation
Bar Patterns (🟡): Common candlestick patterns that offer insights into market sentiment. These are required in some VSA patterns and can also be displayed independently.
Bull Pin Bar
Bear Pin Bar
Doji
Spinning Top
High Wave
Consolidation
This demonstrates the acronym and descriptive options for displaying bar patterns, with the ability to hover over text to reveal the descriptive text along with what type of pattern:
█ Alerts:
VSA Pattern Alerts: Notifications for identified VSA patterns at bar close.
Volume and Spread Alerts: Alerts for confirmed and forecasted volume/spread levels (Low, High, Ultra).
Forecasted Volume and Spread Alerts: Alerts for forecasted volume/spread levels (High, Ultra) include a minimum percent time elapsed input to reduce false early signals by ensuring sufficient bar time has passed.
█ Inputs and Settings:
Display Volume and/or Spread: Choose between displaying volume bars, spread bars, or both with different lookback periods.
Indicator Bar Color: Select color schemes for bars (Normal, Detail, Levels).
Indicator Moving Average Color: Select schemes for bars (Fill, Lines, None).
Price Bar Colors: Options to color price bars based on VSA patterns and volume levels.
Legend: Display a table of bar colors and levels for context and clarity of volume/spread bars.
Forecast: Configure forecast display and prediction details for volume and spread.
Average Multipliers: Define multipliers for different levels (Low, High, Ultra) to refine the analysis.
Moving Average: Set volume and spread moving average settings.
VSA: Select the VSA patterns to be calculated and displayed (Strength, Weakness, Neutral).
Bar Patterns: Criteria for bar patterns used in VSA (Doji, Bull Pin Bar, Bear Pin Bar, Spinning Top, Consolidation, High Wave).
Colors: Set exact colors used for indicator bars, indicator moving averages, and price bars.
More Display Options: Specify how VSA pattern text is displayed (Acronym, Descriptive), positioning, and sizes.
Alerts: Configure alerts for VSA patterns, volume, and spread levels, including forecasted levels.
█ Usage:
The Volume Spread Analysis indicator is a helpful tool for leveraging volume spread analysis to make informed trading decisions. It offers comprehensive visual and textual cues on the chart, making it easier to identify market conditions, potential reversals, and continuations. Whether analyzing historical data or forecasting future trends, this indicator provides insights into the underlying factors driving market movements.
Numbers RenkoRenko with Volume and Time in the box was developed by David Weis (Authority on Wyckoff method) and his student.
I like this style (I don't know what it is officially called) because it brings out the potential of Wyckoff method and Renko, and looks beautiful.
I can't find this style Indicator anywhere, so I made something like it, then I named "Numbers Renko" (数字 練行足 in Japanese).
Caution : This indicator only works exactly in Renko Chart.
////////// Numbers Renko General Settings //////////
Volume Divisor : To make good looking Volume Number.
ex) You set 100. When Volume is 0.056, 0.05 x 100 = 5.6. 6 is plotted in the box (Decimal are round off).
Show Only Large Renko Volume : show only Renko Volume which is larger than Average Renko Volume (it is calculated by user selected moving average, option below).
Show Renko Time : "Only Large Renko Time" show only Renko Time which is larger than Average Renko Time (it is calculated by user selected moving average, option below).
EMA period for calculation : This is used to calculate Average Renko Time and Average Renko Volume (These are used to decide Numbers colors and Candles colors). Default is EMA, You can choice SMA.
////////// Numbers Renko Coloring //////////
The Numbers in the box are color coded by compared the current Renko Volume with the Average Renko Volume.
If the current Renko Volume is 2 times larger than the ARV, Color2 will be used. If the current Renko Volume is 1.5 times larger than the ARV, Color1.5 will be used. Color1 If the current Renko Volume is larger than the ARV . Color0.5 is larger than half Athe RV and Color0 is less than or equal to half the ARV. Color1, Color1.5 and Color2 are Large Value, so only these colored Numbers are showed when use "Show Only ~ " option.
Default is Renko Volume based Color coding, You can choice Renko Time based Color coding. Therefore you can use two type coloring at the same time. ex) The Numbers Colors are Renko Volume based. Candle body, border and wick Colors are Renko Time based.
////////// Weis Wave Volume //////////
Show Effort vs Result : Weis Wave Volume divided by Wave Length.
ex) If 100 Up WWV is accumulated between 30 Up Renko Box, 100 / 30 = 3.33... will be 3.3 (Second decimal will be rounded off).
No Result Ratio : If current "Effort vs Result" is "No Result Ratio" times larger than Average Effort vs Result, Square Mark will be show. AEvsR is calculated by 5SMA.
ex) You set 1.5. If Current EvsR is 20 and AEvsR is 10, 20 > 10 x 1.5 then Square Mark will be show.
If the left and right arrows are in the same direction, the right arrow is omitted.
Show Comparison Marks : Show left side arrow by compare current value to previous previous value and show right side small arrow by compare current value to previous value.
ex) Current Up WWV is 17 and Previous Up WWV (previous previous value) is 12, left side arrow is Up. Previous Dn WWV is 20, right side small arrow is Dn.
Large Volume Ratio : If current WWV is "Large Volume Ratio" times larger than Average WWV, Large WWV color is used.
Sample layout
Student Wyckoff RS Symbol/MarketRelative Strength Indicator STUDENT WYCKOFF RS SYMBOL/MARKET
Description
The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark.
Key Features
Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage.
Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends.
Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength.
Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period.
Applications
Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment.
Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders.
Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument.
Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions.
Interpretation
Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index).
Falling RS: Suggests the first instrument is underperforming.
SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance.
Settings
Instrument 2: Ticker of the second instrument (default: QQQ).
SMA Period: Period for the Simple Moving Average (default: 14).
Notes
The indicator works on any timeframe but requires accurate ticker input for the second instrument.
Ensure data for both instruments is available on the selected timeframe for precise analysis.
VPSA - Volume Price Spread AnalysisDear Analysts and Traders,
I am pleased to present the latest version of my indicator, based on the logic of analyzing spread and volume. In this version, the indicator examines spread and volume using min-max normalization. The statistical value is captured through Z-Score standardization, and I have added configurable alerts based on the normalized values of spread, volume, and the sigmas for these variables.
Theory and Evolution of the Indicator
The normalization function used in this program allows for the comparison of two values with different ranges on a single chart. The values that reach the highest within the examined range are assigned a value of one. As in previous versions, I have adopted a bar chart where the wider bar represents volume and the narrower bar represents spread. I believe that using normalization is the most intuitive approach, as the standardization in the earlier sVPSA version could cause confusion. This was due to smaller bars for higher actual values and negative bars, which required additional reliance on actual volume data and significant proficiency in using the indicator. These were limitations stemming from the computational aspect of these issues. As in the previously mentioned script, I also used Z-Score standardization here, which serves as a measure of deviation from the mean. This is visualized in the script as the color of the bars, which in the default configuration are as follows: below one sigma - blue; above one sigma up to two sigmas - green; above two sigmas up to three sigmas - red; and above three sigmas - fuchsia. Additionally, I applied an exponential moving average in this indicator to minimize the influence of older candles on the mean. The indicator has been enhanced with configurable alerts, allowing for substantial control over the conditions triggering them. The alerts enable the definition of normalized variable values and sigma values. Furthermore, the program allows for the definition of logical dependencies for these conditions.
Summary
The program I have developed is a synthesis of the most important and useful functions from the indicators I previously created. The indicator is a standalone and powerful tool that facilitates effective analysis of the spread-volume relationship, which is one of the fundamental methods of analysis according to the Wyckoff and VSA methodologies. The alerts introduced in this version provide extensive possibilities for controlling the dynamics of any market.
Should you encounter any errors or have suggestions regarding the indicator, please feel free to contact me.
I wish you successful analyses! All the best!
CatTheTrader
Master Pattern [LuxAlgo]The Master Pattern indicator is derived from the framework proposed by Wyckoff and automatically displays major/minor patterns and their associated expansion lines on the chart.
Liquidity levels are also included and can be used as targets/stops. Note that the Liquidity levels are plotted retrospectively as they are based on pivots.
🔶 USAGE
The Master Pattern indicator detects contraction phases in the markets (characterized by a lower high and higher low). The resulting average from the latest swing high/low is used as expansion line. Price breaking the contraction range upwards highlights a bullish master pattern, while a break downward highlights a bearish master pattern.
During the expansion phase price can tend to be stationary around the expansion level. This phase is then often followed by the price significantly deviating from the expansion line, highlighting a markup phase.
Expansion lines can also be used as support/resistance levels.
🔹 Major/Minor Patterns
The script can classify patterns as major or minor patterns.
Major patterns occur when price breaks both the upper and lower extremity of a contraction range, with their contraction area highlighted with a border, while minor patterns have only a single extremity broken.
🔶 SETTINGS
Contraction Detection Lookback: Lookback used to detect the swing points used to detect the contraction range.
Liquidity Levels: Lookback for the swing points detection used as liquidity levels. Higher values return longer term liquidity levels.
Show Major Pattern: Display major patterns.
Show Minor Pattern: Display minor patterns.
Function Square WaveThis is a script to draw a square wave on the chart, with an indicator for current price.
Markets undergoing Dow Jones or Wyckoff Accumulation/Distribution cycles tend to move in such waves, and if the period of the cycles are detected, a signal for accumulation/distribution phases can be created as an early warning.
Useful inputs:
- Average True Range as the wave height.
- Assumed Wave period as the wave duration.
I divided the current price wave by 2 to make the indicator more visually friendly.
GLHF
- DPT
HPS VariablesThis script will provide a chart with a list of the 4 HPS variables for trading TCT models.
Phoenix Ascending 2.201Hi Everyone!
It's time to make this indicator public to relieve myself of replying to requests for access. There has been an update to this indicator; in which a Stochastic RSI was added to this indicator. Please follow the directions to SETUP the indicator in the SETUP VIDEO provided below.
Phoenix Ascending 2.201 and Bollinger Bands Setup Video.
The following are BASIC rules for the Phoenix 2.201 Indicator. More advanced rules and the requirements for those rules can be found in my publications in my public profile. Unfortunately, I do not have organized videos created on how to use this indicator in full but will be available in the future.
IMPORTANT: The BASIC rules below are beneficial but these are NOT all the rules. More rules and requirements for those rules will be available in the future.
RULE NO. 1
We PREFER the Blue LSMA to be at 80% or higher for SAFE EXIT (SHORT) bets.
We PREFER the Blue LSMA to be at 20% or lower for SAFE ENTRY (LONG) bets.
Rule No. 2
ANY time the red line is approaching a green line that’s moving UPWARD,
Be prepared to make an ENTRY (LONG) when the red line is about to touch the green line that’s moving upward.
One can look at a lower time frame to get a better idea of how much longer you may have
To wait for the red line to touch the green line. In many cases, you may make ENTRY (LONG)
Just before the red line actually touches the green line that’s moving up in that higher time frame
You were initially using as your COMPASS. I currently have the 1-Month TF as a compass for EURUSD.
Rule No. 3
ANY time the red line is approaching a green line that’s moving DOWNWARD,
Be prepared to make an EXIT (SHORT) when the red line is about to touch the green line that’s moving downward.
One can look at a lower time frame to get a better idea of how much longer you may have
To wait for the red line to touch the green line. In many cases, you may make your EXIT (SHORT)
Just before the red line actually touches the green line that’s moving downward in that higher time frame
You were initially using as your COMPASS. I currently have the 1-Month TF as a compass for EURUSD.
Rule No. 4
The Green Line and/or Ghost Line can often help one determine when an upward or downward move in a particular time frame
Is nearly exhausted and about to reverse.
Example for Upside Exhaustion about to reverse to the Downside:
When the Green Line and/or Ghost line is at 80% level or higher, this is a good indicator to inform
Us the current upside move may be approaching exhaustion. You can look at a higher time frame to try to gain
More insight as to whether this will only be a brief dip down in the lower time frame IF the higher time frame you
Went to reveals there is a lot more room remaining for the Green and/or Ghost Lines to reach the 80% or higher level.
Example for Downside Exhaustion about to reverse to the Upside:
When the Green Line and/or Ghost line is at 20% level or lower, this is a good indicator to inform
Us the current downside move may be approaching exhaustion. You can look at a higher time frame to try to gain
More insight as to whether this will only be a brief dip up in the lower time frame IF the higher time frame you
Went to reveals there is a lot more room remaining for the Green and/or Ghost Lines to reach the 20% or lower level.
Rule No. 5
The same rules you see in Rule No. 4 also apply to the Stochastic RSI. Keep in mind I changed the colors of the
Stochastic RSI to the following: Red default changed to Purple and Blue changed changed to Black to avoid confusing
Them with the lines in Godmode.
When the Stochastic RSI is at 80% or higher level, we need to be on guard for a reversal to the downside.
When the Stochastic RSI is at 20% or lower level, we need to be on guard for a reversal to the upside.
EXTREMELY IMPORTANT to apply these rules in GROUPS OF TIME FRAMES.
"TYPES" OF TIME FRAME GROUP TRADING SIGNALS
Scalping Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Short Term Group as a compass and Scalping Group for confirmation and more precise entry/exit.
Scalping Group: 6min. 12min. 23min & 45min.
Short Term Group: 90min. 3hr. 6hr. & 12hr.
Short Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. NearTerm Group as a compass and Short Term Group for confirmation and more precise entry/exit.
Short Term Group: 90min. 3hr. 6hr. & 12hr.
Near Term Group: 24hr. 2-Day, 3-Day & 4-Day
Near Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Mid Term Group as a compass and Near Term Group for confirmation and more precise entry/exit.
Near Term Group: 24hr. 2-Day, 3-Day & 4-Day
Mid Term Group: 3-Day, 6-Day, 9-Day & 12-Day
Mid Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Long Term Group as a compass and Mid Term Group for confirmation and more precise entry/exit.
Mid Term Group: 3-Day, 6-Day, 9-Day & 12-Day
Long Term Group: 1-Week, 2-Week, 3-Week & 4-Week
Long Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Macro Term Group as a compass and Long Term Group for confirmation and more precise entry/exit.
Long Term Group: 1-Week, 2-Week, 3-Week & 4-Week
Macro Term Group: 1-Month, 2-Month, 3-Month & 4-Month
Macro Term Group Signals: Signals provided for this group involve analyzing the following two groups of time frames. Macro Term Group as a compass and Long Term Group for confirmation and more precise entry/exit.
Macro Term Group: 1-Month, 2-Month, 3-Month & 4-Month
Super Macro Group: 3-Month , 6-Month, 12-Month & 24-Month
BTC Composite Man V.1Wyckoff's theory t is one of the most influential theories of market expression, and the most important components of which are lateral movement areas and trends. This theory turns the graph into something like Dots and lines (stations and paths).
After getting acquainted with Wyckoff's theory, I read several books on the subject, hoping that they could help me identify this area of lateral movement, the area of accumulation, or distribution. But there was a fundamental drawback. It is challenging to diagnose this issue. The rules discussed in these books are highly interpretive and subjective, and two different individual traders may come to exactly opposite conclusions based on their interpretation.
But as I became more familiar with the onchain analysis, an idea came to my mind that might be useful for more objectively recognizing charts based on Wyckoff's theory.
Composite Man: Wyckoff proposed a theory to help understand stock price movements. this is the “Composite Man” theory. (The same concept of whales or strong hands.)
he said: “…all the fluctuations in the market and all the various stocks should be studied as if they were the result of one man’s operations. Let us call him the Composite Man, who, in theory, sits behind the scenes and manipulates the stocks to your disadvantage if you do not understand the game as he plays it; and to your great profit if you do understand it.” (The Richard D. Wyckoff Course in Stock Market Science and Technique, section 9, p. 1-2)
Composite Man is a hypothetical man who has so much money and stocks that when he wants he can gradually increase the price by buying stocks and creating demand, and when the price goes high enough he sells his stock and lower the price. The composite man is the main player in the market. Wyckoff says that if you want to make a good profit from the market, figure out what a composite man game is.
Having a way of showing us where the Composite Man is in the market, can help us understand future trends
Who are the strong hands in the cryptocurrency market? (I use the strong hand word here instead of the composite man)
Some buy or sell more per capita than other market participants (retailers).
To understand this in the bitcoin market, I have used 3 charts and concepts:
1- Sending Addresses: The number of coins addresses making inflow transactions to the exchange.
Indicates the number of sellers' wallets (number of sellers)
2- buyers Addresses: The number of coins addresses making outflow transactions from the exchange.
Indicates the number of buyers' wallets (number of buyers)
3- Pay attention to this issue: the volume of transactions shows both the volume of sales and the buy ( Volume of buy and sale is equal in the market)
The Composite Man indicator is created by dividing the Receiving Addresses of bitcoin by the Sending Addresses. After dividing these addresses, the moving average of Alma was calculated for them and compared with the moving average of 100 days.
Considering the above 3 issues, it can be concluded:
- If the number of Receiving Addresses is higher than the Sending Addresses (the number of people who bought compared to the number of those who sold), it indicates that more people bought and fewer people sold (given that the volume of sales and buys are the same) So the sellers were stronger hands. In such a situation, the composite man is on the sales side.
- If the number of Sending Addresses is higher than the Receiving Addresses (number of people who have sold more than the number of people who have bought), it indicates that more people have been sellers and fewer people have been buyers (given that the volume of sales and buys are the same) so the buyers were stronger hands. In such a situation, the Composite man is on the buying side.
Accordingly, if the swing line is above the 100-day moving average line, it indicates that stronger addresses are being sold and retailers are buying, and vice versa.
Wyckoff Entry Times @jqrmThis indicator visually marks two custom time zones on your TradingView chart by drawing vertical lines at the start and end of each zone. The first time zone spans from 9:27 AM to 9:33 AM, highlighted in red, and the second spans from 9:50 AM to 10:10 AM, highlighted in blue. You can enable or disable each zone's lines using the indicator inputs. This helps to quickly spot important intraday sessions or time ranges on your chart.
Wyckoff Trading Strategy for XAU/USD by KAIZVIETNAMXAU/USD TF M15 TP SL 20-30 pip
- Volume: Calculates the average volume based on the SMA to compare with the current trading volume.
- ATR (Average True Range): Calculated to determine price volatility.
- Support and Resistance Levels: Identifies support and resistance levels over the last 10 trading sessions.
Specific Point Identification
- A series of functions are defined to detect critical phases in the market structure, such as:
- Finding Preliminary Support: Recognizing signals of accumulation near support levels.
- Finding Selling Climax: Detecting signals of profit-taking near resistance levels.
- Finding Last Point of Support: Identifying points that provide stability for the price.
- Finding Preliminary Supply: Recognizing supply signals near resistance levels.
- Finding Buying Climax: Identifying strong buy signals accompanied by high trading volume.
- Finding Sign of Weakness: Determining instances of price adjustments that could lead to declines.
Market State Identification
- Accumulation: When the closing price is situated between the support and resistance levels.
- Distribution: When the closing price approaches the highest level of the previous few sessions.
- Sideways: When there is no clear bias toward either an upward or downward trend.
Buy and Sell Signals
- Buy Signals: Determined through finding preliminary support, selling climax, and last point of support.
- Sell Signals: Determined through finding preliminary supply, buying climax, and signs of weakness.
Wyckoff Selection Method SP500RSI(Asset) - RSI(Index)
Useful to know if Asset is outperforming market in relative strength
Keltner Center Of Gravity Channel ( KeltCOG )I have the ambition to create a ‘landscape’ which enables the user to see the ‘mood’ of the market about the price of an instrument, simply by looking where the candles go. Prices are a simple phenomenon , they go up or down or stay the same. This is represented quite well for the short term by a candle. I recommend to study candle patterns. Prices not only fluctuate but also trend up, down or go sideways. The user should analyze this by determining the COG (Center Of Gravity) and the ‘normal’ current range by using the historical data in a lookback period.
As a COG the center line of a Donchian Channel is often used. I.m.o. a COG should be a zone, in this channel I use the gray zone of my Donchian Fibonacci Channel, The ‘normal’ range is a multiple of Average True Range, as used in a Keltner Channel. Combining the two can give a cumbersome result, as one can see in my Keltner Fibonacci Channel. In this KeltCOG channel I solved this by not using all Fibonacci levels and by making the Keltner lines strictly parallel to the nearest COG line. To do this, I use the fact that the COG lines have horizontal stretches, there I make the Keltner lines horizontal too. Only where the COG lines change value, the Keltner lines are recalculated. This way the channel gets a very regular shape with three clear zones.
Interpretation of a chart by using the KeltCOG channel.
Overbought: If the candles go higher then the blue zone, the market is hyper enthusiast, creating an overbought situation. This is often followed by a reversion to the COG.
Uptrend: If the candles form in the blue zone, the market is enthusiast and willing to pay more.
Hopeful: If the candles form in or near the upper uncolored zone, the market is hopeful and is thinking about paying more. Sometimes prices go a little up.
Content: If the candles form in the gray zone, which represents COG, the market is happy with the current prices, so these move sideways
Disappointed: If the candles form in or near the lower uncolored zone, the market is disappointed and contemplates paying less, sometimes prices go a little down.
Downtrend: If the candles form in red zone, the market doesn’t like the instrument at all, rejects the current price and is only prepared to pay less.
Oversold: If the candles form below the red zone, the market overdoes its disgust, creating an oversold situation, often followed by a reversion to the COG.
efficiency of bulls and bears for VSA(Google translation from Russian.)
This indicator shows the effectiveness of selling or buying.
It is calculated as follows: using percentrank, the volume and the value of the spread are estimated (momentum = 1)
the resulting estimate of the volume value is divided by the estimate of the spread (momentum = 1) and thus we obtain the value. The larger it is, the more efficient and easier the price movement was.
If the indicator value is small, then this means that the movement was ineffective, because the volume (money) was invested. but no result.
The color of the volume bars is assigned as follows:
Buyers:
If the volume is large - Blue - green
If middle, then blue
Small - light blue
Sellers:
If the volume is large - Burgundy color
If middle, then purple
Small volume - light purple
Indicator parameters:
Comparison period - the period at which the volumes and spread are compared with each other - by default it is 50, selected as the most universal period suitable for different timeframes. But for daytime ones. Weekly and monthly timeframes may need to be shortened. This is true after significant spikes in volume that are exceptional over the long term.
Period spread - Bars from close to close - or in other words, it is momentum - defaults to 1
sensitivity of increased volumes - according to the percentrank indicator - the limit above which the volume will be considered large, the same as in the Volume on bar VSA - indicator V2 - for clarity, I recommend looking at it.
The default is 85, which means. that if the current value of the volume is greater than 85% of the remaining values in this period, then such a value of the volume will be considered high.
medium volume sensitivity - the same sensitivity of increased volumes but for medium volumes.
multiplier of increased volumes - this is an empirical factor to emphasize the importance of increased volumes - default = 20
multiplier of average volumes - the same. As above, but for medium volumes - the default is 10
reduced volume multiplier - Default is 1.
Knowledge of VSA is required to read this indicator
This indicator is recommended for use with indicators:
Volume on bar VSA - indicator V2
BAR for VSA
Russian language
Этот индикатор показывает эффективность продаж или покупок.
Рассчитывается следующим образом: с помощью percentrank оценивается величина объема и велечина спреда (momentum = 1)
полученная оценка велечины объема делится на оценку спреда (momentum = 1) и таким образом получаем значение. Чем оно больше, тем движение цены было эффективнее и легче.
Если значение индикатора маленькое, то это означает, что движение было неэффективным, поскольку объем (деньги) вложили. а результата нет.
Цвет барам объемов присваиваются следующим образом:
У покупателей:
Если объем большой - Сине – зелёный цвет
Если средний – то голубой
Маленький – свело-голубой
У продавцов:
Если объем большой - Бордовый цвет
Если средний – то пурпурный
Маленький объем – светло-пурпурный
Параметры индикатора:
Comparison period (период для сравнения) – период на котором между собой сравниваются объемы и спред – по умолчанию равно 50 , выбрано как наиболее универсальный период подходящий для различных таймфреймов. Но для дневных. Недельных и месячных таймфреймов может потребоваться уменьшить период. Это актуально после значительных всплесков объемов, которые являются исключительными на длительном периоде.
Period spread - Bars from close to close (Период спреда - Баров от закрытия до закрытия) – или другими словами это momentum – по умолчанию равно 1
sensitivity of increased volumes (чувствительность повышенных объемов) – согласно индикатору percentrank – граница выше которой объем будет считаться большим, то же самое, что в индикаторе Volume on bar VSA - indicator V2 – для наглядности как это работает рекомендую посмотреть его.
По умолчанию задано 85 – это означает. что если текущее значение объема больше, чем 85% остальных значений на этом периоде, то такое значение объема будет считаться высоким.
medium volume sensitivity (чувствительность средних объемов) – то же самое sensitivity of increased volumes но для средних объемов.
multiplier of increased volumes (множитель (вес) повышенных объемов) – это эмперический коэффициент для придания особой важности повышенным объемам- по умолчанию = 20
multiplier of average volumes (множитель (вес) средних объемов) – то же самое. Что и выше, но для средних объемов – по умолчанию равно 10
reduced volume multiplier (множитель (вес) пониженных объемов) – по умолчанию равно 1.
Для чтения данного индикатора необходимо знание VSA
Этот индикатор рекомендуется использовать с индикаторами:
Volume on bar VSA - indicator V2
BAR for VSA
[Dipiers] Phoenix MTF v2.1This indicator is a modified (Multi Timeframe) version of the Phoenix Ascending that you can find between the @WyckoffMode scripts and it follows the same rules at the moment of the pubblication.
A special thanks to @Neuromantic that did a great part of the MTF coding and to @HedgeMode for the "real-time" idea to make the ongoing candle visibly different to always remember that it hasn't closed yet.
The chart TF must be the lowest between all the ones analysed.
The value of the higher TFs candles are the ones at the last close so to avoid repainting.
It is best used applying no more than a couple of TFs each chart so to have a better view of the races, you can apply the indicator multiple times to have a good view of the different TFs.
If you are using the code remember to give credit to the persons have worked on it.
Buying Climax + Spring [Darwinian]Buying Climax + Spring Indicator
Overview
Advanced Wyckoff-based indicator that identifies potential market reversals through **Buying Climax** patterns (exhaustion tops) and **Spring** patterns (accumulation bottoms). Designed for traders seeking high-probability reversal signals with strict uptrend validation.
---
Method
🔴 Buying Climax Detection
Identifies exhaustion patterns at market tops using multi-condition analysis:
**Base Buying Climax (Red Triangle)**
- Volume spike > 1.8x average
- Range expansion > 1.8x average
- New 20-bar high reached
- Close finishes in lower 30% of bar range
- **Strict uptrend validation**: Price must be 30%+ above 20-day low
**Enhanced Buying Climax (Maroon Triangle)**
- All Base BC conditions PLUS:
- Gap up from previous high
- Intraday fade (close < open and below midpoint)
- **Higher confidence reversal signal**
🟢 Wyckoff Spring Detection
Identifies accumulation patterns at support levels:
- Price breaks below recent pivot low (false breakdown)
- Close recovers above pivot level (rejection)
- Occurs at trading range low
- Optional volume confirmation (1.5x+ average)
- Limited to 3 attempts per pivot (prevents over-signaling)
✅ Uptrend Validation Filter
**Four-condition composite filter** prevents false signals in sideways/downtrending markets:
1. Close-to-close rise ≥ 5% over lookback period
2. Price structure: Close > MA(10) > MA(20)
3. Swing low significantly below current price
4. **Primary requirement**: Current high ≥ 30% above 20-day low
---
Input Tuning Guide
Buying Climax Settings:
**Volume & Range Thresholds**
- `Volume Spike Threshold`: Default 1.8x
- Lower (1.5x) = More signals, more noise
- Higher (2.0-2.5x) = Fewer but stronger exhaustion signals
- `Range Spike Threshold`: Default 1.8x
- Adjust parallel to volume threshold
- Higher values = extreme volatility required
**Pattern Detection**
- `New High Lookback`: Default 20 bars
- Shorter (10-15) = Recent highs only
- Longer (30-50) = Major breakout detection
- `Close Off High Fraction`: Default 0.3 (30%)
- Lower (0.2) = Stricter rejection requirement
- Higher (0.4-0.5) = Allow weaker intraday fades
- `Gap Threshold`: Default 0.002 (0.2%)
- Increase (0.005-0.01) for stocks with wider spreads
- Decrease (0.001) for tight-spread instruments
- `Confirmation Window`: Default 5 bars
- Shorter (3) = Faster confirmation, more false positives
- Longer (7-10) = Wait for deeper automatic reaction
Uptrend Filter Settings
**Critical for Signal Quality**
- `Minimum Rise from 20-day Low`: Default 0.30 (30%)
- **Most important parameter**
- Lower (0.20-0.25) = More signals in moderate uptrends
- Higher (0.40-0.50) = Only extreme parabolic moves
- `Pole Lookback`: Default 30 bars
- Shorter (20) = Recent momentum focus
- Longer (40-50) = Longer-term trend validation
- `Minimum Rise % for Pole`: Default 0.05 (5%)
- Adjust based on market volatility
- Higher in strong bull markets (7-10%)
Wyckoff Spring Settings
- `Pivot Length`: Default 6 bars
- Shorter (3-4) = More frequent pivots, more signals
- Longer (8-10) = Major support/resistance only
- `Volume Threshold`: Default 1.5x
- Higher (1.8-2.0x) = Stronger conviction required
- Disable volume requirement for low-volume stocks
- `Trading Range Period`: Default 20 bars
- Match to consolidation timeframe being traded
- Shorter (10-15) for intraday patterns
- Longer (30-40) for weekly consolidations
---
Recommended Workflow
1. **Start with defaults** on daily timeframe
2. **Adjust uptrend filter** first (30% rise parameter)
- Too many signals? Increase to 35-40%
- Too few? Decrease to 25%
3. **Fine-tune volume/range multipliers** based on instrument volatility
4. **Enable alerts** for real-time monitoring:
- Base BC → Initial warning
- Enhanced BC → High-priority reversal
- Confirmed BC (AR) → Strong follow-through
- Spring → Accumulation opportunity
---
Alert System
- **Base Buying Climax**: Standard exhaustion pattern detected
- **Enhanced BC (Gap+Fade)**: Higher confidence reversal setup
- **Confirmed BC (AR)**: Automatic reaction validated (price drops below BC midline)
- **Wyckoff Spring**: Accumulation pattern at support
---
Best Practices
- Combine with support/resistance analysis
- Watch for BC clusters (multiple timeframes)
- Spring patterns work best after Buying Climax distribution
- Backtest parameters on your specific instruments
- Higher timeframes (daily/weekly) = higher reliability
---
Technical Notes
- Built with Pine Script v6
- No repainting (signals finalize on bar close)
- Minimal CPU usage (optimized calculations)
- Works on all timeframes and instruments
- Overlay indicator (displays on price chart)
---
*Indicator follows classical Wyckoff methodology with modern volatility filters*
