Wyckoff Event Detection [Alpha Extract]Wyckoff Event Detection
A powerful and intelligent indicator designed to detect key Wyckoff events in real time, helping traders analyze market structure and anticipate potential trend shifts. Using volume and price action, this script automatically identifies distribution and accumulation phases, providing traders with valuable insights into market behavior.
🔶 Phase-Based Detection
Utilizes a phase detection algorithm that evaluates price and volume conditions to identify accumulation (bullish) and distribution (bearish) events. This method ensures the script effectively captures major market turning points and avoids noise.
🔶 Multi-Factor Event Recognition
Incorporates multiple event conditions, including upthrusts, selling climaxes, and springs, to detect high-probability entry and exit points. Each event is filtered through customizable sensitivity settings, ensuring precise detection aligned with different trading styles.
🔶 Customizable Parameters
Fine-tune event detection with adjustable thresholds for volume, price movement, trend strength, and event spacing. These inputs allow traders to personalize the script to match their strategy and risk tolerance.
// === USER INPUTS ===
i_volLen = input.int(20, "Volume MA Length", minval=1)
i_priceLookback = input.int(20, "Price Pattern Lookback", minval=5)
i_lineLength = input.int(15, "Line Length", minval=5)
i_labelSpacing = input.int(5, "Minimum Label Spacing (bars)", minval=1, maxval=20)
❓How It Works
🔶 Event Identification
The script scans for key Wyckoff events by analyzing volume spikes, price deviations, and trend shifts within a user-defined lookback period. It categorizes events into bullish (accumulation) or bearish (distribution) structures and plots them directly on the chart.
// === EVENT DETECTION ===
volMA = ta.sma(volume, i_volLen)
highestHigh = ta.highest(high, i_priceLookback)
lowestLow = ta.lowest(low, i_priceLookback)
🔶 Automatic Filtering & Cleanup
Unconfirmed or weak signals are filtered out using customizable strength multipliers and volume thresholds. Events that do not meet the minimum conditions are discarded to keep the chart clean and informative.
🔶 Phase Strength Analysis
The script continuously tracks bullish and bearish event counts to determine whether the market is currently in an accumulation, distribution, or neutral phase. This allows traders to align their strategies accordingly.
🔶 Visual Alerts & Labels
Detects and labels key Wyckoff events directly on the chart, providing immediate insights into market conditions:
- PSY (Preliminary Supply) and UT (Upthrust) for distribution phases.
- PS (Preliminary Support) and SC (Selling Climax) for accumulation phases.
- Labels adjust dynamically to avoid chart clutter and improve readability.
🔶 Entry & Exit Optimization
By highlighting supply and demand imbalances, the script assists traders in identifying optimal entry and exit points. Wyckoff concepts such as springs and upthrusts provide clear trade signals based on market structure.
🔶 Trend Confirmation & Risk Management
Observing how price reacts to detected events helps confirm trend direction and potential reversals. Traders can place stop-loss and take-profit levels based on Wyckoff phase analysis, ensuring strategic trade execution.
🔶 Table-Based Market Analysis (Table)
A built-in table summarizes:
- Market Phase: Accumulation, Distribution, or Neutral.
- Strength of Phase: Weak, Moderate, or Strong.
- Price Positioning: Whether price is near support, resistance, or in a trading range.
- Supply/Demand State: Identifies whether the market is supply or demand dominant.
🔶 Why Choose Wyckoff Market Phases - Alpha Extract?
This indicator offers a systematic approach to understanding market mechanics through the lens of Wyckoff's time-tested principles. By providing clear and actionable insights into market phases, it empowers traders to make informed decisions, enhancing both confidence and performance in various trading environments.
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Wyckoff Springs [QuantVue]The Wyckoff Springs indicator is designed to identify potential bullish reversal patterns known as "springs" in the Wyckoff Method. A Wyckoff spring occurs when the price temporarily dips below a support level, then quickly rebounds, suggesting a false breakdown and a
potential buying opportunity.
How it works:
Pivot detection:
The indicator identifies pivot lows based on the specified pivot length.
These pivot points are stored and analyzed for potential spring patterns.
Volume and Range Checks:
If volume confirmation is enabled, the indicator checks if the current volume exceeds a threshold based on the average volume over the specified period.
The indicator ensures that the price undercuts the defined trading range before confirming a spring pattern.
Spring Identification
The indicator checks for price conditions indicative of a Wyckoff spring: a temporary dip below a pivot low followed by a close above it. The recovery must take place within 3 bars.
If these conditions are met, a spring label is placed below the bar.
Features:
Pivot Length:
The user can set the pivot length to match any style of trading.
Volume Confirmation:
An optional feature where the user can specify if volume confirmation is required for a spring signal.
Volume threshold can be set to determine what constitutes significant volume compared to the average volume over a specified period. By default it is set to 1.5
How to Trade a Spring:
Give this indicator a BOOST and COMMENT your thoughts below!
We hope you enjoy.
Cheers!
Wyckoff Wave"The Wyckoff Wave is a weighted index consisting of 12 stocks that are leaders in their perspective industries. It was introduced by the Stock Market Institute in 1931.
Made up of leaders in the important stock groups, the Wyckoff Wave represents the core of the American industrial complex.
The Wyckoff Wave has been a market indicator for Wyckoff students for over 50 years. While the stocks comprising the Wyckoff Wave have changed over time, it continues to be a sensitive leading market indicator. The Wyckoff Wave has consistently identified market trends.
The Wyckoff Wave is extremely helpful in predicting the stock market’s timing and the direction of the next market move.
The Wyckoff Wave is analyzed in five minute intervals and individual up and down iintra-day waves are created.
These individual waves, which include the price action and volume during those brief up and down market swings, also provide the data for other important Wyckoff Stock Market Institute indicators, including the Optimism-Pessimism volume index and the Trend Barometer.
These 12 stocks that make up the Wyckoff Wave. They are listed, along with their multipliers, below."
Wave Stock / Multiplier
AT&T / 79
Bank of America / 50
Boeing / 39
Bristol Myers / 119
Caterpillar / 35
DowDuPont / 72
Exxon Mobile / 32
IBM / 21
General Electric / 90
Ford / 25
Union Pacific / 60
WalMart / 43
In 2019, DowDuPont split into three companies: Dow, DuPont, and Corteva. Because TV limits the number of securities in a script to 40, only Dow and DuPont are factored into the Wave calculation (higher market caps than Corteva) with a multiplier of 36 each.
Auto Wyckoff Schematic [by DanielM]This indicator is designed to automatically detect essential components of Wyckoff schematics. This tool aims to capture the critical phases of liquidity transfer from weak to strong hands, occurring before a trend reversal. While the Wyckoff method is a comprehensive and a very nuanced approach, every Wyckoff schematic is unique, making it impractical to implement all its components without undermining the detection of the pattern. Consequently, this script focuses on the essential elements critical to identifying these schematics effectively.
Key Features:
Swing Detection Sensitivity:
The sensitivity of swing detection is adjustable through the input parameter. This parameter controls the number of past bars analyzed to determine swing highs and lows, allowing users to fine-tune detection based on market volatility and timeframes.
Pattern Detection Logic:
Accumulation Schematic:
Detects consecutive lower swing lows, representing phases like Selling Climax (SC) and Spring, which often precede a trend reversal upward. After the final low is identified, a higher high is detected to confirm the upward trend initiation.
Labeled Key Points:
SC: Selling Climax, marking the beginning of the accumulation zone.
ST: Secondary Test during the schematic.
ST(b): Secondary Test in phase B.
Spring: The lowest point in the schematic, signaling a final liquidity grab.
SOS: Sign of Strength, confirming a bullish breakout.
The schematic is outlined visually with a rectangle to highlight the price range.
Distribution Schematic:
Detects consecutive higher swing highs, which indicate phases such as Buying Climax (BC) and UTAD, often leading to a bearish reversal. After the final high, a lower low is detected to confirm the downward trend initiation.
Labeled Key Points:
BC: Buying Climax, marking the beginning of the distribution zone.
ST: Secondary Test during the schematic.
UT: Upthrust.
UTAD: Upthrust After Distribution, signaling the final upward liquidity grab before a bearish trend.
SOW: Sign of Weakness, confirming a bearish breakout.
The schematic is visually outlined with a rectangle to highlight the price range.
Notes:
Simplification for Practicality: Due to the inherent complexity and variability of Wyckoff schematics, the indicator focuses only on the most essential features—liquidity transfer and key reversal signals.
Limitations: The tool does not account for all components of Wyckoff's method (e.g., minor phases or nuanced volume analysis) to maintain clarity and usability.
Unique Behavior: Every Wyckoff schematic is different, and this tool is designed to provide a simplified, generalized approach to detecting these unique patterns.
JSE Wyckoff Wave Volume Code// The Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE).
// The JSE Wyckoff Wave is in a separate code. This is the code for the volume of the wave. Please see code for the JSE Wyckoff Wave which goes with this indicator.
//
// The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks).
// The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves.
// This is only my attempt to select 10 stocks and a different selection can be made.
// I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock volumne so that moves are of equal magnitude.
// The then provides a view of the overall condition of the market and volume flow in the market.
//
// I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership.
//
// Please, let me know if there is a better work around this.
The stocks and their weightings are:
"JSE:BTI"/0.79
"JSE:SHP"/2.87
"JSE:NPN"/0.18
"JSE:AGL"/1.96
"JSE:SOL"/1.0
"JSE:CFR"/4.42
"JSE:MND"/1.40
"JSE:MTN"/7.63
"JSE:SLM"/7.29
"JSE:FSR"/8.25
JSE Wyckoff WaveThe Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE). Once the wave has been established the volume can also be calculated. Please see code for the JSE Wyckoff Wave Volume which goes with this indicator.
The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks). The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves. This is only my attempt to select 10 stocks and a different selection can be made. I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock so that moves are of equal magnitude. The then provides a view of the overall condition of the market and volume flow in the market.
I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership.
Most Indecies when constructed assume that all high prices and all low prices happen at the same time and therefor inflate the wicks of the bars. To make the wave more representatives for the SMI Wyckoff Wave the price is determined on the 5 minute timeframe which removes this bias. However, TradingView does not calculate properly when selecting a lower timeframe than in current period. A work around is to call the sma of the highs and add these which provides more realistic tails. Please, let me know if there is a better work around this.
The stocks and their weightings are:
"JSE:BTI"*0.79
"JSE:SHP"*2.87
"JSE:NPN"*0.18
"JSE:AGL"*1.96
"JSE:SOL"*1.0
"JSE:CFR"*4.42
"JSE:MND"*1.40
"JSE:MTN"*7.63
"JSE:SLM"*7.29
"JSE:FSR"*8.25
Vol (Wyckoff)I like TradingView Built-in Volume indicator, because it is overlay with price chart, and has appropriate scale.
I made similar style volume indicator and added concept of Laws of Wyckoff.
caution : You need {Chart settings} → {Appearance} → {Bottom margin} is set 0 %, to make chart look good.
: You need {Chart settings} → {Symbol} → {body} ,{Borders} and {Wick} are set dark color, to easier to identify the color of candles.
This ３ Laws of Wyckoff are my interpretation, not the original.
///////// The Law of Supply and Demand //////////
I define the Demand as volume that is larger than the previous volume and has close > open bar.
I define the Supply as volume that is larger than the previous volume and has close <= open bar.
Volume Flow is value difference between Demand MA and Supply MA.
I imitate the idea of "Volume Flow v3" by oh92.
///////// The Law of Cause and Effect //////////
Enough volume(Cause) makes reliable price movement(Effect).
If there is not enough volume, its price movement is suspicious.
I define enough volume as volume that is larger than previous volume.
I define large volume as volume that is larger than previous volume and over volume MA(using all volume).
I define "not enough volume" as volume that is smaller than previous volume.
I borrowed the idea from "The Lie Detector" by LucF.
Enough volume(increasing volume) is painted by dark color and Large volume(increasing volume and over volume MA) is painted by light color.
"Not enough volume"(decreasing volume) is painted by empty color(default is black).
This coloring are reflected to price candles.
So, you need {Chart settings} → {Symbol} → {body} ,{Borders} and {Wick} are set dark color, to easier to identify the color of candles.
///////// The Law of Effort and Result //////////
If volume (effort) cannot move price (result), it may be Absorption(potential reversal).
"Factor of Volume Density" determines the threshold of Absorption.
Small Absorption is displayed by gray square at bottom.
Large Absorption is displayed by white square at bottom.
///////// Volume Spike //////////
Volume Spike sometimes precede or confirm trend direction.
"Factor of Volume Spike" determines the threshold of Volume Spike.
Volume Spike is displayed by light bulb.
Wyckoff Accumulation Distribution Wyckoff Accumulation & Distribution Indicator (RSI-Based)
This Pine Script is a technical analysis indicator built around the Wyckoff Method, designed to detect accumulation and distribution phases using RSI (Relative Strength Index) and pivot points. It automatically marks key structural turning points on the chart and highlights relevant zones with colored boxes.
What Does It Do?
Draws accumulation and distribution boxes based on RSI behavior.
Automatically detects Wyckoff structural signals:
SC (Selling Climax)
AR (Automatic Rally)
ST (Secondary Test)
BC (Buying Climax)
DAR (Automatic Reaction)
DST (Secondary Test - Distribution)
Identifies trend transitions by detecting sideways RSI movement.
Attempts to detect spring and UTAD-like deviations based on RSI reversals.
Uses RSI extremes in conjunction with pivot points to generate Wyckoff signals.
How Does It Work?
RSI Zone: It identifies sideways markets when RSI stays within ±20 of the 50 level (this range is configurable).
Pivot Points: It detects pivot highs/lows that sync with RSI values (pivotLen is adjustable).
Trend Box Drawing:
When RSI exits the sideways zone, the script draws a gray box between the highest high and lowest low within that range.
If RSI breaks upward, the box becomes green (Accumulation); if downward, it becomes red (Distribution).
Wyckoff Structural Points:
SC/BC: Detected when a pivot occurs with RSI below/above a threshold.
AR/DAR: The next opposite pivot after SC or BC.
ST/DST: The next same-direction pivot after AR or DAR.
How to Use It
Works best on 4H or daily charts for more reliable signals. Shorter timeframes may generate noise.
Primarily used for interpreting RSI structures through the lens of Wyckoff methodology.
Box colors help quickly identify market phase:
Green box: Likely Accumulation
Red box: Likely Distribution
Triangular markers show key signals:
SC, AR, ST: Accumulation points
BC, DAR, DST: Distribution points
Use these signals alongside price action to manually interpret Wyckoff phases.
image.binance.vision
image.binance.vision
What Is the Wyckoff Method?
The Wyckoff Method, developed in the 1930s by Richard Wyckoff, is a market analysis approach that focuses on supply and demand dynamics behind price movements.
Wyckoff’s 5 Phases:
Accumulation: Smart money gradually buying at low prices.
Markup: Price begins trending upwards.
Distribution: Smart money selling to retail traders.
Markdown: Downtrend begins as supply outweighs demand.
Re-accumulation / Re-distribution: Trend-continuation phases with consolidations.
This indicator is specifically designed to detect phase 1 (Accumulation) and phase 3 (Distribution).
Extra Notes
Repainting is minimal, as pivots are confirmed using historical candles.
Labels use plotshape for a clean, minimalist visual style.
Other Wyckoff events (like SOS, LPS, UT, UTAD) could be added in future updates.
This script does not generate buy/sell signals; it is meant for structural interpretation.
Calculate target by Range [Wyckoff,PnF]First of all, I would like to thank the author @LonesomeTheBlue.
This indicator developed on the source code "Point and Figure (PnF)" by author @LonesomeTheBlue.
This indicator calculate the range (Cause) of Phase accumulation or distribution to calculate the taget (Effect) based on the Wyckoff Method.
Formula for calculate move value target : Col * BoxSize * Reversal
Col -> Number of Column (PnF) in the range (Cause)
BoxSize -> Value in one Box (PnF)
Reversal -> Reversal (PnF)
Bollinger Bands (Bad Ass B-Bands) - Wyckoff ModeHi Everyone! It's time to make this indicator public reduce the load off of me for others requesting access... This particular version of Bad Ass B-Bands has a minor change in the default settings to reduce the thickness of the B-Bands to number 1 thickness instead of a default to number 2 thickness. Feel free to adjust the colors to your personal preference to work well with the background color of your choosing.
DEFAULT INPUTS:
The Standard Deviation for White Upper B-Band = Positive 1.0
The Standard Deviation for White Lower B-Band = Negative 1.0
The Standard Deviation for Aqua Upper B-Band = Positive 1.618
The Standard Deviation for Aqua Upper B-Band = Negative 1.618
The Standard Deviation for Orange Upper B-Band = Positive 2.618
The Standard Deviation for Orange Upper B-Band = Negative 2.618
The Standard Deviation for Red Upper B-Band = Positive 3.618
The Standard Deviation for Red Upper B-Band = Negative 3.618
The Yellow B-Band BASIS is setup for 20-Moving Average
It's EXTREMELY IMPORTANT to use this indicator with my Phoenix Ascending 2.201 indicator to get a better indication of where the price action can run up to or down to in most any time frame.
BASIC RULES BELOW: Be advised these rules are ONLY BASIC... More detailed rules will be made available in the future.
If the Red RSI inside Phoenix Ascending indicator goes above level 50, there's a chance for price action to run up to the Aqua/Orange UPPER B-Bands.
If the Blue LSMA inside the Phoenix Ascending indicator goes above level 50, there's a chance for the B-Bands to expand and the body of each candle to remain inside the Aqua/Orange UPPER B-Bands until the B-Bands begin to flatten and/or contract.
If the Red RSI inside the Phoenix Ascending indicator goes below level 50, there's a CHANCE for the price action to fall down to the Aqua/Orange LOWER B-Bands.
If the Blue LSMA inside the phoenix Ascending indicator goes below level 50, there's a CHANCE for the B-Bands to expand and the body of each candle to remain inside the Aqua/Orange LOWER B-Bands until the B-Bands begin to flatten and/or contract.
If the Green Line falls down to level 50 inside the Phoenix Ascending Indicator, there's a CHANCE for the price action to fall to the Yellow B-Band Basis.
If the Green Line runs up to level 50 inside the Phoenix Ascending Indicator, there's a CHANCE for the price action to run up to the Yellow B-Band Basis.
REMINDER: The rules above are ONLY "BASIC" RULES. Additional rules will be available in the future.
Happy Trading and Stay Awesome!
David
SETUP VIDEO FOR PHOENIX ASCENDING 2.201 and BOLLINGER BANDS:
Wyckoff Advanced Swing Strategy by TIAMATCRYPTOStrategy Overview
This custom TradingView strategy combines four powerful trading methodologies - Wyckoff Market Cycles, Price Map Profiling, Mean Reversion, and Trend Following - into a comprehensive swing trading system. It provides extensive customization options and can be tailored for medium to long-term trading positions.
Key Components
1. Wyckoff Analysis
This component focuses on identifying market cycle phases as described by Richard D. Wyckoff:
Accumulation Phase: Identifies periods of smart money accumulation with above-average volume and falling price highs
Markup Phase: Detects strong uptrends with increasing prices supported by volume
Distribution Phase: Recognizes when smart money begins to distribute positions near market tops
Markdown Phase: Identifies downtrends when institutional investors are exiting positions
Special Formations: Detects "spring" patterns (false breakdowns followed by rapid reversals) and "upthrust" patterns (false breakouts)
2. Price Map Profile
Implements a simplified version of Market Profile / Volume Profile concepts:
Calculates Point of Control (POC) - the price level with the highest theoretical activity
Defines Value Area High (VAH) and Value Area Low (VAL) to establish the range where most price action occurs
Visual representation of these key levels to identify potential support and resistance zones
3. Mean Reversion
Identifies potential reversal points when price moves to extremes:
Uses Bollinger Bands to define overbought and oversold price zones
Incorporates RSI divergence to confirm potential reversals
Requires multiple confirmation signals to avoid false entries in strong trends
Employs pattern recognition for higher probability mean reversion trade setups
4. Trend Following
Captures medium to long-term directional price movements:
Utilizes multiple moving averages (9, 21, 50, 200 EMAs) to confirm trend direction and strength
MACD analysis for momentum confirmation and trend intensity
Higher timeframe trend alignment through recent price structure analysis
Requires clear higher highs/higher lows (or lower highs/lower lows) for trade confirmation
Advanced Features
Risk Management
Optional automatic Take Profit and Stop Loss based on ATR (Average True Range)
Trailing stop functionality that adjusts to market volatility
Position sizing as a percentage of equity for proper risk management
Multiple exit strategies based on time, price, or indicator signals
Time-Based Filters
Customizable date range for backtesting historical performance
Trading day filters to avoid entering positions on less favorable days (Fridays/Mondays)
Minimum and maximum holding periods to match swing trading timeframes
Smart exit timing based on market conditions and holding duration
Signal Optimization
Combined signal approach requiring confirmation from multiple systems
Candlestick pattern analysis for enhanced entry timing
RSI-based position exit rules to capture profits at overbought/oversold conditions
Advanced filtering to reduce false signals and avoid low-probability setups
Practical Applications
This strategy is designed for swing traders who:
Hold positions for several days to weeks
Prefer to analyze multiple factors before entering trades
Want to align with institutional money flow through Wyckoff principles
Seek a balance between trend-following and reversal opportunities
Require flexible risk management options
The system works best on daily timeframes for equities, forex, commodities, and cryptocurrency markets with sufficient liquidity. It can be used as a standalone trading system or as a confirmation tool alongside other analysis methods.
Strategy Parameters
All major components can be enabled or disabled independently:
Wyckoff Analysis
Price Map Profiling
Mean Reversion
Trend Following
Risk parameters, timeframes, and technical indicators can be extensively customized to match individual trading preferences, market conditions, and risk tolerance.
Wyckoff Method IndicatorThe Wyckoff Method Market Cycle Indicator is a powerful tool designed to help traders identify the current market phase based on the principles of the Wyckoff Method. This indicator analyzes price action and volume patterns to determine whether the market is in an accumulation, markup, distribution, or markdown phase.
The Wyckoff Method, developed by Richard D. Wyckoff, is a time-tested approach to understanding market dynamics and identifying potential trading opportunities. By studying the interaction between price and volume, the Wyckoff Method aims to provide insight into the actions of market participants and the potential direction of the market.
This indicator automatically detects the key market phases as defined by the Wyckoff Method:
Accumulation: This phase occurs when large institutional investors are quietly accumulating positions, often leading to a period of consolidation with low volatility and decreasing volume.
Markup: Following the accumulation phase, the markup phase is characterized by a breakout above the accumulation range, accompanied by increasing volume. This indicates a potential bullish trend.
Distribution: After a significant price advance, the distribution phase emerges. It is marked by high volatility and increasing volume as large investors begin to distribute their holdings to the public.
Markdown: The markdown phase follows the distribution phase and is characterized by a breakdown below the distribution range, accompanied by increasing volume. This suggests a potential bearish trend.
The indicator plots the detected market phases on the chart using the following signals:
Green triangle pointing upwards: Accumulation phase
Blue triangle pointing downwards: Markup phase
Red triangle pointing downwards: Distribution phase
Orange triangle pointing upwards: Markdown phase
By utilizing this indicator, traders can gain valuable insights into the underlying market structure and make more informed trading decisions. However, it is important to note that the Wyckoff Method Market Cycle Indicator should be used in conjunction with other technical analysis tools and risk management strategies.
The indicator provides two input parameters:
Lookback Period: The number of bars used to calculate the volatility and determine the market phases. The default value is 50.
Volume Condition Multiple: The multiple used to compare the current volume with the volume of the lookback period. The default value is 2.
Traders can adjust these parameters to suit their specific trading style and the characteristics of the asset being analyzed.
Please note that this indicator is intended for educational and informational purposes only. It does not constitute financial advice. Always conduct your own analysis and exercise proper risk management when trading.
Happy trading!
Wyckoff Range Detector [Beta] + Smart Money ElementsThis indicator detects the key phases of the Wyckoff market structure and integrates smart money elements, such as Order Blocks (OB), Fair Value Gaps (FVG), and Breaker Blocks. It also helps identify potential reversal zones (LPS, UTAD, Spring), breakout opportunities, and provides automatic Risk-Reward (R:R) calculations.
Key Features:
Wyckoff Phases Detection:
Automatically detects key phases of Wyckoff's market structure:
B (Range) – The initial range of accumulation.
C (Spring Phase) – Accumulation phase with a potential breakout.
C (UTAD Phase) – Upthrust After Distribution, indicating a potential reversal.
D (LPS Phase) – Last Point of Support, signaling accumulation before a breakout.
E (Breakout) – Phase marking breakout from range.
Re-Accumulation – Possible continuation in the range after a breakout.
Re-Distribution – Possible breakdown of a distribution phase.
Smart Money Elements:
Order Blocks (OB): Identifies Bullish and Bearish OBs to anticipate market entries.
Fair Value Gap (FVG): Highlights imbalance areas where price is likely to return.
Breaker Blocks: Marks areas where the price has previously broken a structure, indicating strong supply/demand zones.
Automatic Risk-Reward Calculation:
Smart RR: Automatically calculates Risk-Reward (R:R) ratios from LPS phases and Order Blocks. It draws lines to indicate target and stop levels with green for the target and red for the stop.
Visual representation of the entry signal with target and stop levels displayed.
Alerts:
Set alerts for phase changes, breakout, re-accumulation, or re-distribution to stay updated on the market’s movements.
Visual Tools:
Labels are used to indicate key zones such as AR, SC, LPS, and Spring Zones.
Draw boxes for the Spring and LPS phases to highlight areas where price action is likely to reverse.
Lines to represent potential breakouts, with customizable risk-reward indicators.
How to Use:
Apply the Indicator on any chart.
Identify Wyckoff phases to understand market trends.
Monitor Smart Money Elements (OB, FVG, Breaker) for entry and exit points.
Use automatic Risk-Reward levels for managing trades.
Set alerts for various Wyckoff phases and smart money signals to stay updated.
Wyckoff Range StrategyThe Wyckoff Range Strategy is a trading strategy that aims to identify potential accumulation and distribution phases in the market using the principles of Wyckoff analysis. It also incorporates the detection of spring and upthrust patterns.
Here's a step-by-step explanation of how to use this strategy:
Understanding Accumulation and Distribution Phases:
Accumulation Phase: This is a period where smart money (large institutional traders) accumulates a particular asset at lower prices. It is characterized by a sideways or consolidating price action.
Distribution Phase: This is a period where smart money distributes or sells a particular asset at higher prices. It is also characterized by a sideways or consolidating price action.
Input Variables:
crossOverLength: This variable determines the length of the moving average crossover used to identify accumulation and distribution phases. You can adjust this value based on the market you are trading and the time frame you are analyzing.
stopPercentage: This variable determines the percentage used to calculate the stop loss level. It helps you define a predefined level at which you would exit a trade if the price moves against your position.
Strategy Conditions:
Enter Long: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength and a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the start of an accumulation phase and a potential buying opportunity.
Exit Long: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength or a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the end of an accumulation phase and a potential exit signal for long positions.
Enter Short: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength and a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the start of a distribution phase and a potential selling opportunity.
Exit Short: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength or a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the end of a distribution phase and a potential exit signal for short positions.
Stop Loss:
The strategy sets a stop loss level for both long and short positions. The stop loss level is calculated based on the stopPercentage variable, which represents the percentage of the current close price. If the price reaches the stop loss level, the strategy will automatically exit the position.
Plotting Wyckoff Schematics:
The strategy plots different shapes on the chart to indicate the identified phases and patterns. Green and red labels indicate the accumulation and distribution phases, respectively. Blue triangles indicate spring patterns, and orange triangles indicate upthrust patterns.
To use this strategy, you can follow these steps:
Jim Forte — Anatomy of a Trading Range
robertbrain.com/Bull...+a+Trading+Range.pdf
Wyckoff Volume ColorThis volume indicator is intended to be used for the Wyckoff strategy.
Green volume bar indicates last price close above close 10 days ago together with volume larger than 2 * SMA(volume, 20)
Blue volume bar indicates last price close above close 10 days ago together with volume less than 2 * SMA(volume, 20)
Orange volume bar indicates last price close lower than close 10 days ago together with volume less than 2 * SMA(volume, 20)
Red volume bar indicates last price close lower than close 10 days ago together with volume larger than 2 * SMA(volume, 20)
The main purpose is to have green bars with a buying climax and red bars with a selling climax.
Three variables can be changed by simply pressing the settings button.
How many days back the closing price is compared to. Now 10 days.
How many times the SMA(volume) is multiplied by. Now times 2.
How many days the SMA(volume) consists by. Now 20 days.
Wyckoff Selection MethodThis is a simple script that compares the current asset RSI with the RSI of another asset that you can set in the input scrren. By default the comparable asset is the XETR:DAX index.
Buy/Sell Volume Totals for PeriodThis indicator can be used to help you tell the difference between Wyckoff Accumulation and Distribution.
The idea is to add up all the Buy Volume and all the Sell Volume separately from the beginning of the Trading Range (TR) for each candle. You can define the Start and End dates in the settings of the indicator.
The indicator will show you 3 numbers of interest:
GREEN = Total Buy Volume from beginning of date range
RED = Total Sell Volume from beginning of date range
YELLOW = Ratio of Total Buy / Total Sell Volume from beginning of date range
When the Total Buy Volume exceeds the Total Sell Volume in the TR, the indicator will color the background in GREEN color, to indicate possible accumulation. Otherwise the background will be RED, to indicate possible distribution.
You can float your cursor over any candle to see the current Volume Totals at that candle from the beginning of the TR (set by you in settings to a specific date).
Here's a few examples of the indicator in action:
1) Accumulation
2) Distribution
3) Possible Re-distribution
Please note that this indicator is meant to be used in combination with other analysis techniques from the Wyckoff Methodology!
Weis Wave ChartThis 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 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.
Unlike other implementations I found here on TradingView, 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".
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 volume indicator here:
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:
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.
🧬 Fractal Trap Hunter v2.2 – Wyckoff x Fib Precision// This is still a WIP and any feedback is very welcome.
🧬 Fractal Trap Hunter v2.2
Wyckoff x Fibonacci Precision Reversal Strategy
📈 Version: 2.2
🔁 Smart Money Filters • Fib Zones • Momentum Precision
💡 Designed for traders who demand accuracy, structure, and smart filtering.
🚀 Summary
Fractal Trap Hunter v2.2 isn’t just a strategy — it’s a framework.
It adapts to the market’s structure and filters out the noise using real logic used by institutions.
🎯 Strategy Overview
Fractal Trap Hunter v2.2 is a reversal-based strategy that fuses:
📐 Fibonacci retracements/extensions
📊 Wyckoff-style impulse logic (BOS/Spring)
🔍 Optional Smart Money filters
⚡ Precision entries at 61.8%–78.6% with TP1 & TP2 via 1.272/1.618 extensions
✅ Modular filters (RSI, EMA, DPO, SMI, Volume)
🛠 How It Works
Detects a directional impulse (fakeout/BOS/spring)
Waits for price to retrace into a golden zone (Fib 61.8–78.6%)
Enters only if filtered by momentum + confluence signals
Takes partial TP1, moves SL to BE, lets TP2 run
Visual zones and labels make execution easy and clean
⚙️ Key Inputs
Input Purpose Default
Fib Entry Min -- Lowest fib zone for entry -- 0.618
Fib Entry Max -- Highest fib zone for entry -- 0.786
TP1 Extension -- First take profit (extension of impulse) -- 1.272
TP2 Extension -- Final target -- 1.618
Min Impulse % --Required size for the setup -- 0.8%
🧠 Optional Filters
Filter Use Case
EMA Filter -- Only trade with 50 EMA trend
EMA Crossover -- Confirms short-term momentum direction
RSI -- Filter out overextended entries
DPO -- Avoid flat/no-trend zones
SMI -- Precision momentum confirmation
Volume Spike -- Ensures trades trigger with liquidity & intent
📍 Where & When to Use
✅ Best Markets
Forex majors: EUR/USD, GBP/USD, USD/JPY, AUD/USD
Indices: NAS100, SPX500, GER40
Gold: XAU/USD — thrives on fakeouts
Crypto: BTC/USD (H1+ only — volatile), SOL/EUR (H8 had some amazing results)
✅ Best Timeframes
M15 to H1: Optimal balance of signals and quality
H4 - H8 for structure context
D1 for bias filter (optional)
🕐 Best Time of Day
London Open (7–10am UTC) – breakout traps + volume
NY Open (13–15 UTC) – BOS + FVG setups
Avoid low-liquidity hours unless volume filter is ON
📊 How to Backtest
Select timeframe (e.g., M30)
Open Strategy Tester → Overview
Toggle filters & Fib zones to optimize for asset
🔥 Pro Tips to Maximize Edge
📌 Start with only EMA + OB filters, optimize first
⚠️ Avoid choppy price action — look for clear liquidity sweeps
🎯 Use HTF BOS or Wyckoff structures to frame LTF entries
🧬 Look for confluence: OB + Fib + Volume spike = sniper
🔄 Run optimization for each asset and session
⚠️ Risk Disclaimer
Trading involves risk. Use proper position sizing. Past performance does not guarantee future results.
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
